Miracle-dz/UniFAR-FTUs huggingface dataset:
Additional Contribution to the Problem of Self-Excited Systems Having Several Unstable Vibration Modes

This contribution is based on paper [1] in which a three-mass chain system, excited by van der Pol type excitation, has been investigated for the case when two different unstable vibration modes can occur. Here, the efficiency of tuning the system using a single-frequency parametric excitation by unifying the conditions for suppressing both vibration modes is investigated. The suppressing efficiency is not high, especially when the system is close to be tuned into a so-called 'internal resonance'. It seems that the best way for vibration suppression is the combination of passive and active means (using parametric excitation).
Patient participation in acute illness – a metasynthesis of the experiences of patients and health professionals

This meta-synthesis shows that patient participation during acute illness can vary from the patient making autonomous choices to patients being met with paternalistic attitudes. When life-saving treatment must be carried out, there is a risk that health professionals must carry out treatment without the patient’s consent. Then there is a danger that the patient may experience the situation as offending. Acute illness often leads to difficult coordination between the patient and health professionals, and health professionals experience ethical dilemmas. Patients experience a lack of information and need to talk about existential problems. Treatment of acute illness requires special care to prevent the patient from losing confidence in the health professionals. Acute illness Acute used refer Acute illness COPD and haemodialysis were useful. We wanted qualitative primary studies, and therefore also used qualitative research and interview together with various to find relevant articles.
Channel transmission strategy for mmWave hybrid UAV communications with blockage

The blockage is a tough hurdle for millimetre-wave (mmWave) unmanned aerial vehicle (UAV) communications. In this Letter, the authors propose an angle domain channel transmission scheme for mmWave hybrid UAV communication with blockage. Firstly, they investigate the angle domain channel transmission of mmWave UAV communication systems with massive array antennas. Then, they solve the blockage problem through the multi-UAV coordination. Specially, they provide a practical user scheduling algorithm to maximize the achievable sum rates. Finally, simulation results are provided to show the effectiveness of the proposed method.
Improving Business Processes with the Internet of Things - A Taxonomy of IIoT Applications

The Industrial Internet of Things (IIoT) paradigm constitutes the connection of uniquely identifiable things to the internet in an industrial context. It provides disruptive capabilities and value propositions, especially for the management and improvement of business processes. To exploit these, many companies have already implemented manifold IIoT applications along their value chain activities aiming at beneficial Business Process Improvements (BPI). However, research on IIoT-based BPI is low on theoretical insights. To add to the descriptive knowledge of the IIoT, a structured synoptic view and classification scheme are required. The work at hand addresses this need by providing a taxonomy of IIoT-based BPI applications. Based on the combination of an inductive and deductive research methodology, the created taxonomy consists of six dimensions, seven subdimensions, and 40 characteristics. The taxonomy is evaluated on a sample of 30 IIoT applications from the literature and 10 real-life applications from a market-leading company.
A Root-Knot Nematode, Meloidogyne arenaria on Apple nurseries from Tunisia

– Root-knot nematodes (RKN: Meloidogyne spp.) have a wide host range, what implies that multiple crops may be affected among them apple trees. Between 2013 and 2014, a nematological survey was carried out in apple trees from nurseries in Tunisia. Root galling caused by root-knot nematodes was observed. Infected tissues were examined and RKN species were identifiedThe morphological study based on perineal patterns of the females confirmed the presence of M. arenaria. In addition, the molecular identification was carried out and based on the internal transcribed spacer 1 (ITS1-5.8S-ITS2) gene. The sequences were compared with those of Meloidogyne arenaria in the GenBank database with high similarity (95%). This comparison confirmed the species identification and reconfirmed the morphological identification. Phylogenetic studies placed those populations with M. arenaria . To the best of our knowledge, this is the first report of this nematode associated with apple plant in Tunisia.
Pharmacokinetics of Bupivacaine Following Administration by an Ultrasound-Guided Transversus Abdominis Plane Block in Cats Undergoing Ovariohysterectomy

Bupivacaine is commonly used for peripheral nerve block in veterinary medicine. This study described the pharmacokinetics of two doses of bupivacaine following administration by an ultrasound-guided transversus abdominis plane (TAP) block in cats undergoing ovariohysterectomy. Twelve healthy female adult cats were included in a randomized, prospective, blinded clinical trial. Anaesthetic protocol included acepromazine–buprenorphine–propofol–isoflurane–meloxicam. Each cat received 1 mL/kg of bupivacaine 0.2% or 0.25% (BUPI-2 and BUPI-2.5, respectively) via bilateral two-point TAP block before surgery (n = 6/group). Plasma concentrations of bupivacaine were detected using liquid chromatography-mass spectrometry. A one-compartment model and non-compartmental analysis described the pharmacokinetic parameters. Bupivacaine was detected up to 480 min (335 ± 76 in BUPI-2 and 485 ± 198 ng/mL in BUPI-2.5). For BUPI-2 and BUPI-2.5, maximum plasma concentrations were 1166 ± 511 and 1810 ± 536 ng/mL at 33 ± 14 and 47 ± 22 min, clearance was 5.3 ± 1.8 and 4.9 ± 1.5 mL/min/kg, and elimination half-life were 253 ± 55 and 217 ± 52 min, respectively. The two doses of bupivacaine via TAP block produced concentrations below toxic levels in cats. A dose of 2.5 mg/kg bupivacaine was safe to be administered using this block in healthy cats.
Validating Trip Travel Time Provided by Smartphone Navigation Applications in Jordan

This research aimed to validate the trip travel time provided by three selected navigation applications, through examining the error in the Estimated Time of Arrival (ETA) provided. The ETA was compared with the actual travel time measured from 204 selected urban and rural road segments in Jordan. The overall trip travel time accuracy was 70%, 57% and 52% for the Google Maps, Here-WeGo and Waze applications, respectively. Analysis results showed that the three applications’ ETA measures vary from the actual trip time with different error levels ranging from minor errors of less than 10% to significant errors of more than 40%. It was found that Google Maps has the most distinguished accuracy, yet the provided information by Google Maps contains a certain amount of error in the ETA. Also, ANOVA test showed that there was no statistically significant differences between Google Maps and Waze-ETA mean errors, while Here-ETA mean error significantly differs from those of both applications. The significant contribution of this research is the detailed evaluation process of the estimated journey times using field data collected by trained drivers instead of crowdsourcing data. The usage of such applications will attract the attention of individuals, organizations and agencies in different related sectors.
Computer Processing of Kannada Language

This paper is about language processing in general and about computer processing of Kannada language in particular. In the ﬁrst part, a brief introduction to all the major aspects of language processing in general is given. Then we brieﬂy sketch the work on Kannada being done in various organizations. We conclude with certain general remarks on a possible plan of action for further developing Kannada processing.
Reference-Free Dynamic Voltage Scaler Based on Swapping Switched-Capacitors

This paper introduces a reference-free, scalable, and energy-efficient dynamic voltage scaler (DVS) that can be reconfigured for multiple outputs. The proposed DVS employs a novel swapping switched-capacitor (SSC) technique, which can generate target output voltages with higher resolution and smaller ripple voltages than the conventional voltage scalers based on switched-capacitors. The proposed DVS consists of a cascaded 2:1 converter based on swapping capacitors, which is essential to achieve both very small voltage ripple and fine-grain conversion ratios. One of the serious drawbacks of the conventional voltage scalers is the need for external reference voltages to maintain the target output voltage. The proposed SSC; however, eliminates the needs for any reference voltages. This significant benefit is achieved by the self-charging ability of the SSC, which can recharge all its capacitors to the configured voltage by simply swapping the two capacitors in each stage. The proposed SSC-DVS was designed with a resolution of 16 output levels and implemented using a 130 nm CMOS (Complementary Metal Oxide semiconductor) process. We conducted measured results and post-layout simulations with an input voltage of 1.5 V to produce an output voltage range of 0.085–1.4 V, which demonstrated a power efficiency of 85% for a load current of 550 µA with a voltage ripple of as low as 2.656 mV for a 2 KΩ resistor load.
Do Influential Videos Empower Innovation ？ Evidence From TED Talks

Digital idea-sharing platforms (e.g., TED talks) provide rich, novel, and a variety of unstructured content (e.g., videos, audios, and texts) that can greatly shape people's opinions, creativity, and lives. In this study, we investigated how well can "influential videos" help spread ideas and empower innovation. We explored what aspects of the content generation process mostly contribute to creative outcomes. Drawing from communication theory, ideas are partitioned into idea content and idea delivery. Combined with creativity and communication theory, we learned the idea content creativity and idea delivery using the NLP algorithm (i.e., RoBERTa) and the proposed Visual-Audio Multi-modal Fusion Model. Extensive empirical analysis shows creative talk ideas convey deep thoughts, trigger increased audience’s open-mindedness and curiosity, and further facilitate audience creativity. Besides, speakers with great immediacy can build links and connections with the audience, and facilitate the audience's creativity, while dominating speakers facilitate persuasiveness and obedience but hurt audience creativity.
PREVALENCE OF DIABETES DISTRESS AMONG ADOLESCENTS WITH TYPE 1 DIABETES MELLITUS

Adolescents with T1DM are at increased risk for psychological effects, including diabetes distress secondary to the constant demands of disease management combined with social and emotional stressors of adolescence. Evaluation of psychological impacts of disease management, including diabetes distress, are often not addressed during routine endocrinology visits. Early identification of diabetes distress is an essential step in the process of reducing distress. This non-experimental, quantitative research study used the Diabetes Distress Scale (DDS), a self-reported Likert survey, to determine the prevalence of diabetes distress among adolescents with T1DM. To capture levels of diabetes distress, participants of the study included males and females of all ethnicities, English-speaking, ages 13 to 17, a diagnosis of T1DM, and Internet access to complete the study survey. Evaluation of total distress and the subcategories of emotional, regime, interpersonal, and physician burden was completed. A total of 41 survey invitations was emailed to participants verbally expressing interest, with 28 participants responding (66%). All participants met inclusion criteria. Participants’ overall mean level of diabetes distress was 2.409 (SD = 0.853) and considered “moderate distress. ” The emotional burden subcategory revealed the highest distress level at 3.214 (SD =1.449), thus considered “significant. ” Findings revealed “minimal distress” in the subcategory of physician burden, at 1.133 (SD = 0.276). Among all participants, 61% reported diabetes distress levels greater than 2.0. Study findings provided information regarding the prevalence of diabetes distress among adolescents with T1DM receiving care in a pediatric endocrinology clinic in Southwest Virginia, which currently is not standard of care. Findings indicated that diabetes distress exists among most adolescents, and therefore, warrants routine screening as a change in practice.
Finite Element Mesh Based Hybrid Monte Carlo Micromagnetics

To deal with magnetic problem at ﬁnite temperature, hybrid Monte Carlo (HMC) micromagnetics method has been proposed in the past years. Previous study of HMC micromagnetics is based on ﬁnite difference mesh (FDM), FDM usually consists of identical micromagnetic cells, the fast Fourier transformation (FFT) algorithm can be applied to speed up the simulation, but FDM has difﬁculty in dealing with irregular shaped model. To overcome the geometry difﬁculty encountered in FDM, the ﬁnite element mesh (FEM) based HMC micromagnetics method is developed in this work. For the ellipsoidal shaped single domain magnetic particle, the decrease of coercive ﬁeld versus temperature can be explained by FEM-HMC micromagnetics, and the numerical results agree well with analytical ones. The FEM-HMC micromagnetics method could be a useful tool in dealing with magnetic problem with irregular shape at ﬁnite temperature, it has promising application in the study of engineering device.
CHALLENGES OF ADOPTION AND ACCEPTANCE OF E-PROCUREMENT ON SUPPLY CHAIN MANAGEMENT PRACTICES IN MULTINATIONAL COMPANIES IN THE OIL AND GAS INDUSTRY. (THE CASE OF DEVELOPING COUNTRIES - ENI OIL EXPLORATION COMPANY – GHANA)

Advancement in Information Technology has resulted to reliable electronic support services all business sectors worldwide. In order to achieve their strategic business objectives such as operational efficiencies, sustainability and profitability, many organizations have taken advantage of Information Technology by integrating e- procurement into supply chain support functions. For Hasan & Abidin, (2011), the emerging trend of reliance on electronic support services is as a result of global economic downturn.
Individualized Risk Assessment of Preoperative Opioid Use by Interpretable Neural Network Regression

Preoperative opioid use has been reported to be associated with higher preoperative opioid demand, worse postoperative outcomes, and increased postoperative healthcare utilization and expenditures. Understanding the risk of preoperative opioid use helps establish patient-centered pain management. In the field of machine learning, deep neural network (DNN) has emerged as a powerful means for risk assessment because of its superb prediction power; however, the blackbox algorithms may make the results less interpretable than statistical models. Bridging the gap between the statistical and machine learning fields, we propose a novel Interpretable Neural Network Regression (INNER), which combines the strengths of statistical and DNN models. We use the proposed INNER to conduct individualized risk assessment of preoperative opioid use. Intensive simulations and an analysis of 34,186 patients expecting surgery in the Analgesic Outcomes Study (AOS) show that the proposed INNER not only can accurately predict the preoperative opioid use using preoperative characteristics as DNN, but also can estimate the patient-specific odds of opioid use without pain and the odds ratio of opioid use for a unit increase in the reported overall body pain, leading to more straight-forward interpretations of the tendency to use opioids than DNN. Our results identify the patient characteristics that are strongly associated with opioid use and is largely consistent with the previous findings, providing evidence that INNER is a useful tool for individualized risk assessment of preoperative opioid use.
A criterion for estimating the favoring of beneficiaries in apportionments

There is proposed a criterion to quantitatively estimate the favoring of large or small beneficiaries in particular apportionments and on the whole (on an infinity of cases) by apportionment methods. By computer simulation, it is shown that the favoring of beneficiaries by d’Hondt method can be considerable, in total overpassing 10 of apportioned entities.
Performance Analysis of Humidity Tapered Optical Fiber Sensor

Among diﬀerent interferometric ﬁber optic sensors a Relative Humidity sensor based on a singlemode-no-core-singlemode tapered ﬁber structure is proposed. The mathematical model of the interferometer structure is developed, simulated and validated as a refractive index sensor. Dif-ferent materials for coating the No-core ﬁber section are analyzed for better Relative Humidity sensitivity. Agarose, Porous Silica and SiO 2 nanoparticles were selected as coating materials for Pure Silica and d-PMMA ﬁbers. The d-PMMA ﬁber with Agarose coating presents the highest average sensitivity of 533.46pm/RH% in the 0-60% RH range, when the tapered section has zero length. Furthermore, variations in the dimensions of the structure are explored showing that we can tune the sensitivity according to the tapered length and radius. An exten-sion of the tapered section up to 4000 µ m gives an improvement of 227% in the average sensitivity. Moreover, a reduction of the tapered radius from 15 µ m to 1.5 µ m gives an rise in the sensitivity of 295%.
Model selection uncertainty and stability in beta regression models: A study of bootstrap-based model averaging with an empirical application to clickstream data

Statistical model development is a central feature of many scientific investigations with a vast methodological landscape. However, uncertainty in the model development process has received less attention and is frequently resolved non-rigorously through beliefs about generalizability, practical usefulness, and computational ease. This is particularly problematic in settings of abundant data, such as click-stream data, as model selection routinely admits multiple models and imposes a source of uncertainty, unacknowledged and unknown by many, on all post-selection conclusions. Regression models based on the beta distribution are class of non-linear models, attractive because of their great flexibility and potential explanatory power, but have not been investigated from the standpoint of multi-model uncertainty and model averaging. For this reason, a formalized tool that can combine model selection uncertainty and beta regression modeling is presented in this work. The tool combines bootstrap model averaging, model selection, and asymptotic theory to yield a procedure that can perform joint modeling of the mean and precision parameters, capture sources of variability in the data, and achieve more accurate claims of estimate precision, variable importance, generalization performance, and model stability. Practical utility of the tool is demonstrated through a study of model selection consistency and variable importance in average exit and bounce rate statistical models. This work emphasizes the necessity of a departure from the all-too-common practice of ignoring model selection uncertainty and introduces an accessible technique to handle frequently neglected aspects of the modeling pipeline.
Influence of adaptability of Serious Games on learning outcomes Influence of adaptability of Serious Games on learning outcomes and the application of knowledge and skills in professional and the application of knowledge and skills in professional training training

Serious Games have been used in professional training to increase employee engagement and improve the results of training initiatives in this context. This work intends to investigate the influence of game elements, in adaptable Serious Games, according to the users' interactions, in the increase of engagement in the game itself and, as the main objective, in the learning outcomes and the transfer of the acquired knowledge and practised skills to activities in the daily work. Using the Design Science Research methodology, this study is intended to develop a framework for the development and evaluation of Serious Games to improve the user experience, the learning outcomes, the transfer of knowledge to work situations, and the application of skills practised in the game in real professional scenarios.
Modelling the Dynamics of Fuel and EU Allowance Prices during Phase 3 of the EU ETS

This article studies the relationship between the prices of fuel and EU Allowances (EUA) for carbon emissions during Phase 3 of the European Union Emissions Trading System. We find that the forward prices of EUA, coal, gas and Brent oil are jointly determined in equilibrium. The existence of such a long-run relationship entails a permanent-transitory decomposition for the series of EUA and fuel prices that reveals the short- and long-term causal influence of the EUA market in shaping the joint dynamics of fuel prices. This result complements the literature that suggests that EUA prices are driven by the dynamics of fuel prices. Interestingly, we do not find an equilibrium relationship in the spot market. EUA and fuel spot prices are driven by independent unit root processes. The differences between spot and forward markets are attributed to the tradability of forward prices that are used for speculation and hedging in financial markets. In contrast, spot prices are mainly driven by supply and demand in energy markets.
70 WAGE MODELS by

of debate over the determination of wage inflation. We will concentrate mainly on rival views of the determinants of the real wage and we will attempt to test these competing hypotheses. Our aim is not to present another model of wage formation but rather to assess the degree of empirical support which can be found for existing models. In our attempt to do this we will make use of some new techniques which have been developed in the co-integration literature.
Normative Values for Body Surface Gastric Mapping Evaluations of Gastric Motility Using Gastric Alimetry: Spectral Analysis

INTRODUCTION: Body surface gastric mapping (BSGM) is a new noninvasive test of gastric function. BSGM offers several novel and improved biomarkers of gastric function capable of differentiating patients with overlapping symptom profiles. The aim of this study was to define normative reference intervals for BSGM spectral metrics in a population of healthy controls. METHODS: BSGM was performed in healthy controls using Gastric Alimetry (Alimetry, New Zealand) comprising a stretchable high-resolution array (8 × 8 electrodes; 196 cm2), wearable Reader, and validated symptom-logging App. The evaluation encompassed a fasting baseline (30 minutes), 482 kCal meal, and 4-hour postprandial recording. Normative reference intervals were calculated for BSGM metrics including the Principal Gastric Frequency, Gastric Alimetry Rhythm Index (a measure of the concentration of power in the gastric frequency band over time), body mass index (BMI)–adjusted amplitude (μV), and fed:fasted amplitude ratio. Data were reported as median and reference interval (5th and/or 95th percentiles). RESULTS: A total of 110 subjects (55% female, median age 32 years [interquartile range 24–50], median BMI 23.8 kg/m2 [interquartile range 21.4–26.9]) were included. The median Principal Gastric Frequency was 3.04 cycles per minute; reference interval: 2.65–3.35 cycles per minute. The median Gastric Alimetry Rhythm Index was 0.50; reference interval: ≥0.25. The median BMI-adjusted amplitude was 37.6 μV; reference interval: 20–70 μV. The median fed:fasted amplitude ratio was 1.85; reference interval ≥1.08. A higher BMI was associated with a shorter meal-response duration (P = 0.014). DISCUSSION: This study provides normative reference intervals for BSGM spectral data to inform diagnostic interpretations of abnormal gastric function.