Miracle-dz/UniFAR-FTUs huggingface dataset:
A stochastic approach to motorcycle dynamics

A Stochastic Approach to Motorcycle Dynamics by Luis Alejandro Robledo Ricardo A study on the applicability of the Monte Carlo method in the analysis of the dynamical behavior of motorcycles subject to road excitation is presented. To this end, a time-domain numerical simulation of the response of a motorcycle modeled as a linear four-degree-of-freedom (4-DOF) system, and traveling at constant speed is carried out. To validate the accuracy of the solutions obtained, the linear 4-DOF model is also analyzed using the frequency domain approach. Although the Monte Carlo simulation can be computationally costly, it provides an excellent scheme of analyzing, as well, non-linear systems, in which case the frequency domain approach cannot be applied. In this context the applicability of auto-regressive (AR) and autoregressive-moving-average (ARMA) filters for efficient implementation of the Monte Carlo simulation is pointed out. Furthermore, a practical engineering approach is presented for improved road roughness power spectral density (PSD) representation, and statistical parameters of the excitation signals synthesized.
Toward Visual Accessibility in the Built Environment: The ViDeA Project

In the last decades, the general awareness with regard to the topic of universal design (or design for all) has been steadily increasing. As a consequence, more attention is being paid to the requirements of all segments of population (specifically including those with certain perceptual and/or motoric limitations). Nonetheless, additional efforts toward improving pertinent regulations, design practices, and relevant technologies are needed. Specifically, the field of visual accessibility in the built environment has not received the same level of consideration as some other areas of universal design. Given this background, the present contribution reports on the most recent progress made in the course of the ongoing ViDeA research project. This research effort aims primarily at the development of effective means toward supporting the design and implementation of visually accessible solutions in the built environment. Thereby, a central objective is to enhance the mobility of people with sight restriction. Visually impaired people primarily orient themselves based on their residual eyesight. The optimization of lighting solutions represents a highly critical measure toward creating environmental circumstances in which the remaining eyesight can be optimally utilised. The main components of the ViDeA project are as follows: An original set of optometric experiments, the evaluation of a number of use cases and the development of a computational tool for architects and engineers in order to facilitate the evaluation of visual accessibility criteria of projects. The deliverables of the ViDeA project are expected to enhance the quality of visual performance guidelines and augment the capabilities of simulation-based design optimization tools.
DTL Is a Prognostic Biomarker and Promotes Bladder Cancer Progression through Regulating the AKT/mTOR axis

Background Denticleless E3 ubiquitin protein ligase homolog (DTL) has been reported to be an important regulator for tumorigenesis and progression. Nonetheless, the biological functions and molecular mechanisms of DTL in BCa remain elusive. Methods We implemented integrative bioinformatics analysis to explore the diagnostic and prognostic values of DTL based on The Cancer Genome Atlas (TCGA), ArrayExpress, and Gene Expression Omnibus (GEO) databases. Then, we utilized qRT-PCR and immunohistochemistry to verify the clinical significance of DTL expression according to clinical specimens and tissue microarray (TMA). Moreover, the biological functions and underlying mechanisms of DTL in BCa were investigated through in vitro and in vivo experiments. Results Integrative bioinformatics analysis revealed that DTL was a key gene associated with BCa progression, and increased DTL expression was correlated with malignant biological behavior and poor prognosis. Experiments on clinical specimens and tissue microarray (TMA) further confirmed our findings. Bioinformatics analysis demonstrated that DTL could be associated with cell cycle- and DNA replication-associated pathways in BCa. The suppression of DTL inhibited BCa cell proliferation, migration, and invasion in vivo and in vitro. Mechanistically, DTL may promote BCa progression through the AKT/mTOR pathway. Conclusions Increased DTL expression was correlated with malignant biological behavior and poor prognosis of BCa patients, and it may promote BCa progression through the AKT/mTOR pathway. Our research provided a potential predictor and therapeutic target for BCa.
Induction of TLR4/TLR2 Interaction and Heterodimer Formation by Low Endotoxic Atypical LPS

The Toll-like receptor 4 (TLR4)/myeloid differentiation protein-2 (MD-2) complex is considered the major receptor of the innate immune system to recognize lipopolysaccharides (LPSs). However, some atypical LPSs with different lipid A and core saccharide moiety structures and compositions than the well-studied enterobacterial LPSs can induce a TLR2-dependent response in innate immune cells. Ochrobactrum intermedium, an opportunistic pathogen, presents an atypical LPS. In this study, we found that O. intermedium LPS exhibits a weak inflammatory activity compared to Escherichia coli LPS and, more importantly, is a specific TLR4/TLR2 agonist, able to signal through both receptors. Molecular docking analysis of O. intermedium LPS predicts a favorable formation of a TLR2/TLR4/MD-2 heterodimer complex, which was experimentally confirmed by fluorescence resonance energy transfer (FRET) in cells. Interestingly, the core saccharide plays an important role in this interaction. This study reveals for the first time TLR4/TLR2 heterodimerization that is induced by atypical LPS and may help to escape from recognition by the innate immune system.
A Demonstration Study of the Quiet Time Transcendental Meditation Program

This manuscript presents a demonstration study of Quiet Time (QT), a classroom-based Transcendental Meditation intervention. The aim of the study is to assess the feasibility of implementing and evaluating QT in two pilot settings in the United Kingdom and Ireland. This study contributes to the field by targeting middle childhood, testing efficiency in two settings operating under different educational systems, and including a large array of measures. First, teacher and pupil engagement with QT was assessed. Second, the feasibility of using a quasi-experimental design and a wide range of instruments to measure changes in pupil outcomes before and after the intervention was assessed. This allows us to obtain information about which instruments might be feasible to administer and most sensitive to change. The first setting included 89 students from a primary school in the United Kingdom: those in sixth grade received the QT intervention, while those in fifth grade practiced meditation using the Headspace application. The second setting included 100 fifth- and sixth-grade students from two schools in Ireland: one received the QT intervention, the other served as a control. Recruitment and retention rates were high in both settings, and the intervention was feasible and accepted by students, parents and teachers. Implementation fidelity was lower in the United Kingdom setting where delivery started later in the school year and the practice was affected by preparation for the Standard Assessment Tests. These results show that QT may be feasibly delivered in school settings, and suggest the use of a compact battery of tests to measure impact. We find suggestive evidence that the intervention affected executive function as children who practiced QT showed improved working memory in both settings. In the Irish setting, pupils in the QT group had improved ability to control responses. These results have implications for future studies by a) demonstrating that implementation fidelity is highly context dependent and b) providing suggestive evidence of the malleability of children’s skills in middle childhood. The results of this demonstration study will be used to inform a larger RCT of the QT intervention.
Toward Understanding the Impact of Refactoring on Program Comprehension

Software refactoring is the activity associated with developers changing the internal structure of source code without modifying its external behavior. The literature argues that refactoring might have beneficial and harmful implications for software maintainability, primarily when performed without the support of automated tools. This paper continues the narrative on the effects of refactoring by exploring the dimension of program comprehension, namely the property that describes how easy it is for developers to understand source code. We start our investigation by assessing the basic unit of program comprehension, namely program readability. Next, we set up a large-scale empirical investigation – conducted on 156 open-source projects – to quantify the impact of refactoring on program readability. First, we mine refactoring data and, for each commit involving a refactoring, we compute (i) the amount and type(s) of refactoring actions performed and (ii) eight state-of-the-art program comprehension metrics. Afterwards, we build statistical models relating the various refactoring operations to each of the readability metrics considered to quantify the extent to which each refactoring impacts the metrics in either a positive or negative manner. The key results are that refactoring has a notable impact on most of the readability metrics considered.
Electrocortical Activity in Older Adults Is More Influenced by Cognitive Task Complexity Than Concurrent Walking

Human cognitive-motor performance largely depends on how brain resources are allocated during simultaneous tasks. Nonetheless, little is known regarding the age-related changes in electrocortical activity when dual-task during walking presents higher complexity levels. Thus, the aim of this study was to investigate whether there are distinct changes in walking performance and electrocortical activation between young and older adults performing simple and complex upper limb response time tasks. Physically active young (23 ± 3 years, n = 21) and older adults (69 ± 5 years, n = 19) were asked to respond as fast as possible to a single stimuli or a double stimuli appearing on a touch screen during standing and walking. Response time, step frequency, step frequency variability and electroencephalographic (EEG) N200 and P300 amplitudes and latencies from frontal central and parietal brain regions were recorded. The results demonstrated that older adults were 23% slower to respond to double stimuli, whereas younger adults were only 12% slower (p < 0.01). The longer response time for older adults was accompanied by greater step frequency variability following double-stimuli presentations (p < 0.01). Older adults presented reduced N200 and P300 amplitudes compared to younger participants across all conditions (p < 0.001), with no effects of posture (standing vs walking) on both groups (p > 0.05). More importantly, the P300 amplitude was significantly reduced for older adults when responding to double stimuli regardless of standing or walking tasks (p < 0.05), with no changes in younger participants. Therefore, physically active older adults can attenuate potential walking deficits experienced during dual-task walking in simple cognitive tasks. However, cognitive tasks involving decision making influence electrocortical activation due to reduced cognitive resources to cope with the task demands.
Heroes in Harm’s Way: COVID-19 Narratives of China as a Form of Soft Power

This paper examines COVID-19 narratives of China as a form of soft power. The coronavirus pandemic and its handling have presented an image problem for China on the global stage. The country has struggled to control the narratives surrounding the pandemic. This article is interdisciplinary in nature with a focus on contemporary Chinese history, culture, and politics, as well as communication issues and narratives. It analyses non-fictional and fictional narratives as part of China’s COVID-19 diplomacy. Beyond documentaries, this paper examines the two docudramas Heroes in Harm’s Way 最美逆 行者 (2020) and With You 在一起 (2020) and how these popular TV shows present the coronavirus crisis in China at the beginning of the pandemic. We argue that they provide positive narratives of the COVID-19 response that highlight people’s courage and sacrifice to inspire the Chinese population to stand together as a nation. The docudramas showcase everyday life during the lockdown in Wuhan over 76 days from the end of January 2020 to early April 2020. Nurses, doctors, and patients are represented as heroic characters who fight the pandemic together. Heroes in Harm’s Way and With You are testament of a united China broadcast both to domestic audiences and viewers abroad. The docudramas function as damage control to enhance China’s image in the world. This helps increase China’s soft power as the country presents itself as a capable force for good within its boundaries and beyond.
Applications of the RTN Scheduling Model in the Chemical Industry

The Resource-Task Network (RTN) model is a major contribution of Process Systems Engineering to the general area of scheduling optimization. The RTN representation models processes as bipartite graphs comprising two types of vertices: resources and tasks. A resource is general and includes all entities that are involved in the process steps (e.g., materials, processing and storage equipment, and utilities). A task is an abstract term for an operation that transforms a set of resources into another set. We provide a general review of the RTN model for both discrete and continuous-time representations. We then describe extensions to the standard RTN model that have been driven by the needs of the chemical industry. Successful industrial applications of these extensions in offline and online process scheduling and payload optimization, as well as a recent application to business processes, highlighting the impact that the RTN model continues to have in practice.
Deciphering Cadmium (Cd) Tolerance in Newly Isolated Bacterial Strain, Ochrobactrum intermedium BB12, and Its Role in Alleviation of Cd Stress in Spinach Plant (Spinacia oleracea L.)

A cadmium (Cd)–tolerant bacterium Ochrobactrum intermedium BB12 was isolated from sewage waste collected from the municipal sewage dumping site of Bhopal, India. The bacterium showed multiple heavy metal tolerance ability and had the highest minimum inhibitory concentration of 150 mg L–1 of Cd. Growth kinetics, biosorption, scanning electron microscopy (SEM), transmission electron microscopy (TEM), and Fourier transform infrared (FTIR) spectroscopy studies on BB12 in the presence of Cd suggested biosorption as primary mode of interaction. SEM and TEM studies revealed surface deposition of Cd. FTIR spectra indicated nitrogen atom in exopolysaccharides secreted by BB12 to be the main site for Cd attachment. The potential of BB12 to alleviate the impact of Cd toxicity in spinach plants (Spinacia oleracea L.) var. F1-MULAYAM grown in the soil containing Cd at 25, 50, and 75 mg kg–1 was evaluated. Without bacterial inoculation, plants showed delayed germination, decrease in the chlorophyll content, and stunted growth at 50 and 75 mg kg–1 Cd content. Bacterial inoculation, however, resulted in the early germination, increased chlorophyll, and increase in shoot (28.33%) and root fresh weight (72.60%) at 50 mg kg–1 of Cd concentration after 75 days of sowing. Due to bacterial inoculation, elevated proline accumulation and lowered down superoxide dismutase (SOD) enzyme activity was observed in the Cd-stressed plants. The isolate BB12 was capable of alleviating Cd from the soil by biosorption as evident from significant reduction in the uptake/translocation and bioaccumulation of Cd in bacteria itself and in the plant parts of treated spinach. Potential PGP prospects and heavy metal bioremediation capability of BB12 can make the environmental application of the organism a promising approach to reduce Cd toxicity in the crops grown in metal-contaminated soils.
Therapeutic Effects of Transcranial Magnetic Stimulation on Visuospatial Neglect Revealed With Event-Related Potentials

This study aimed to investigate changes in attention processing after low-frequency repetitive transcranial magnetic stimulation (rTMS) over the left posterior parietal cortex to better understand its role in visuospatial neglect (VSN) rehabilitation. The current study included 10 subacute stroke patients with VSN consecutively recruited from the inpatient stroke rehabilitation center at Xuanwu Hospital (the teaching hospital affiliated with Capital Medical University) between March and November 2019. All patients performed a battery of tasks (including line bisection, line cancellation, and star cancellation tests) two weeks before treatment and at the beginning and end of treatment; the attentive components of the test results were analyzed. In addition, low-frequency rTMS was used to stimulate the left posterior parietal cortex for 14 days and event-related potential data were collected before and after the stimulation. Participants were evaluated using a target-cue paradigm and pencil-paper tests. No significant differences were detected on the battery of tasks before rTMS. However, we found that rTMS treatment significantly improved the response times and accuracy rates of patients with VSN. After rTMS, the treatment side (left) amplitude of P300 following an event-related potential was higher than that before treatment (left target, p = 0.002; right target, p = 0.047). Thus, our findings suggest that rTMS may be an effective treatment for VSN. The observed increase in event-related potential amplitude supports the hypothesized compensational role of the contralesional hemisphere in terms of residual performance. Our results provide electrophysiological evidence that may help determine the mechanisms mediating the therapeutic effects of rTMS.
Supervised Learning Framework for Healthcare Fraud Detection System with Excluded Provider Labels

With the overall increase in the elderly population comes additional, necessary medical needs and costs. Medicare is a U.S. healthcare program that provides insurance, primarily to individuals 65 years or older, to offload some of the financial burden associated with medical care. Even so, healthcare costs are high and continue to increase. Fraud is a major contributor to these inflating healthcare expenses. Our paper provides a comprehensive study leveraging machine learning methods to detect fraudulent Medicare providers. We use publicly available Medicare data and provider exclusions for fraud labels to build and assess three different learners. In order to lessen the impact of class imbalance, given so few actual fraud labels, we employ random under sampling creating four class distributions. Our results show that the C4.5 decision tree and logistic regression learners have the best fraud detection performance, particularly for the 80:20 class distribution with average AUC scores of 0.883 and 0.882, respectively, and low false negative rates. We successfully demonstrate the efficacy of employing machine learning with random under sampling to detect Medicare fraud.
Adaptive MAC Protocol Design for Energy Efficient and Reliable WBAN Link

The present need for a well-organised and continuous health care service at an affordable price gives rise to a wireless health monitoring technology. Wireless body area network is an emerging field of a wireless sensor network that works in the vicinity of the human body. This technology has its most significant application in the modern healthcare system. This wban architecture is designed to get the health information and daily routine of human activity (both physical and psychological) through energy efficient and reliable radio transceivers connectivity these modern devices behave according to some predesigned rules called communication protocols. The mac protocols are designed specially according to wban standards and requirements. The physiological sensors installed in wban system consume a large amount of energy for communication that leads to frequent data interruption and also a change of implanted devices. As this is troublesome for both patient and server, protocols are continuously upgraded to make the communication highly energy efficient and reliable. The prime aim of this work is to reduce the energy consumption and increase the lifespan of the network. This work proposes an energy harvesting adaptive mac protocol applied for node connectivity and detailed simulation study carried out with the proposed protocol proves to be having minimum power consumption, increased network lifetime, and high throughput compared to the existing mac protocols in wban framework. We have used hybrid mesh topology where all nodes have both uplink and downlink. Here we are utilizing a gts based multi-hop technique and adaptive wake-up mechanism for the sleep mode of the transceiver to minimize the wake-up periods.
Sensing High Performance Enablers in the Collective Action of Successful IS Project Teams

A disconcerting truth about IS projects persists project failure and challenged rates remain high. Research has revealed that project failures are attributed more to the social factors than the technical factors. Yet, while there are teams who struggle with poor teamwork and coordination, there are project teams who produce exceptional results and ensure successful project implementations. Employing a phenomenological research inquiry, this study explores the concept of high performance within the collective action of IS project teams. We analyzed data from experiences of project managers whose teams have successfully delivered IS projects across a variety of development methodologies. Our results parallel expectations from collective action theory, a multi-disciplinary theory that informs about interactions in groups. Collective action theory offers insights that explain how patterns of interactions within IS project teams transpire into enablers of high performance activities towards delivering IS projects successfully.
B. F. Skinner: A Life

This biography is a portrait of the "social inventor" and entrepreneur, B.F. Skinner, whose ideas transformed education, child-rearing and even community life. Published on the third anniversary of his death, it not only traces his life and work through all the controversy and complexity, but also places his contributions within the American tradition of utopian socio-political debate. The book contains various stories: the man reviled for raising his daughter in a box was actually a loving and involved father; the scientist who argued that human behaviour could be conditioned almost like that of rats was once voted Humanist of the Year; and the technological innovator was strangely naive about business and marketing. Daniel Bjork is the author of "William James: The Center of His Vision".