Miracle-dz/UniFAR-FTUs huggingface dataset:
Changes in Display Surface Shape and Sensory Volume

Tactile displays can reproduce skin sensations, such as the feel of an object's texture and unevenness, and are expected to have a wide range of applications and a promising future. Motion is important because tactile and haptic judgments are made by the fingers. In the skin sensation at the fingertip, the threshold for vibration detection is medically known to range between 10 Hz and 300 Hz. Therefore, in this experiment, Mg was kept constant and the frequency was varied from 1 to 250 Hz. The sinusoidal waveform of the vibrations was produced at eight frequencies: 1, 10, 20, 40, 50, 100, 200, and 250 Hz. The amplitude, Mg, was kept constant at 20μm to 25μm, respectively. The presentation method was set to reproduce the frequencies of the different stimuli on the TouchSense display via random markers, from A to H. The analysis method adopts Nakaya's variant of Scheffé's pairwise comparison method. The questionnaire was distributed to 15 evaluators; each evaluator makes 28 comparisons, representing half of the total number of streets. Roughness ratings were scored on a 5-point scale, and a psychometric scale of roughness perception was thus obtained.
The Design and Application of the Fine-Resolution Road Weather Information System to Improve Special Meteorological Services over the Greater Beijing Metropolitan Area in North China

In the Greater Beijing metropolitan areas of North China, one fine-resolution road weather information system is designed and applied to improve the special meteorological services. This system is composed of four parts, that is: A local intense monitoring network; One rapid cycling numerical weather prediction system updated every 3 hours with WRF model coupled with Noah land surface model system, two domain two-way nested run with the fine-resolutions of 9/3km; A statistical interpretation sub-system for numerical products based on the nonlinear method of support vector machine; And an auto WEB deliver platform coupled with geographic information system (GIS). Furthermore, With the three-dimension variational data assimilation system WRFVAR, the local intense observations, such as atmospheric water vapour data of the groundbased GPS-MET network and surface observations of auto weather and road meteorological stations, are efficiently assimilated into forecasting system to improve prediction except of the routine meteorological data. In this paper, we briefly introduce the design of the fine-resolution road weather information system; especially, we conduct a thorough discussion the characteristic of atmospheric visibility’s evolution and the corresponding physical analysis in the Beijing Expressway and the interpretation applications of nonlinear support vector machines.
Low Complexity Model Predictive Control Method for Three-Level Converters with Fixed Switching Frequency Mode

The three-level neutral-point-clamped (NPC) converter is a promising topology for motor control. However, its large number of voltage vectors imposes a heavy computational burden on the conventional finite-control-set model predictive control (MPC). Furthermore, variable frequency is another barrier limiting the development of MPC, i.e., challenging to evaluate the power loss and EMI suppression. To address these concerns, this paper proposes a low complexity MPC method for three-level converters. While maintaining lower current distortion and fast dynamic response, the novel method has the desired characteristics of fixed switching frequency and no need for cumbersome weighting factor’ tuning. First, the vector space of the three-level converter is divided into 6 small hexagonal sectors. Second, the sector judgment and execution time calculation are greatly simplified by using the similar two-level action law in each sector. More importantly, multiple-voltage-vector is adopted during each control period and the fixed switching frequency is realized through the proposed allocating action sequence. The validity of the proposed algorithms is evaluated by simulation and experiment results in contrast with other state-of-the-art MPC.
Beating Procrastination: Interface Design of an Affective Task Management APP

Procrastination can be considered a type of self-regulatory failure that can hinder our ability to achieve our goals, particularly when it comes to tasks, which we find unpleasant. Studies have shown that task aversiveness is positively related to procrastination. However, current task management tools do not take into account the affective preferences of users. As a result, we have designed an interface for an affective task management application that automatically prioritizes tasks prone to procrastination based on the user's affective preferences and task type. In addition, the design of this interface also aims to serve as a tool for measuring and gathering data on user procrastination behavior, as well as its relationship to affective preferences and task type. These collected data can be analyzed to potentially predict future procrastination behavior and even generate personalized predictions.
An In-vehicle Edge Computing System for Monitoring Nighttime Winter Road Visibility

In Hokkaido, Japan, poor visibility on roads due to snowstorms often results in hazardous driving conditions. Road administrators and managers of various transportation services need to grasp poor visibility immediately. Various studies for road visibility monitoring using images/videos have been conducted. However, the realization of monitoring nighttime road visibility is the issue to be solved. Therefore, this paper proposes an in-vehicle edge computing system for monitoring nighttime road visibility. This system is designed to be installed in vehicles such as road patrol vehicles. Specifically, the proposed system is constructed on a small-sized computer, a camera, and a GPS receiver. The visibility estimation algorithm is based on late fusion of tentative estimation results from multiple machine learning models. Our system is expected to support road administrators and managers of various transportation services for grasping nighttime poor visibility immediately.
A Study on Placement and Control Mode of Inverter-Based Resources

Inverter-based resources (IBRs) such as photovoltaic systems and wind farms are being integrated into the power grids as part of climate change efforts. Most renewable resources utilize phase-locked loop (PLL) to establish network synchronization, and operate under the grid-following (GFL) mode. However, it has been recently reported that with the increasing amount of IBRs to replace fossil-fuel based synchronous generators, the continued use of GFL will reduce the overall stability of the grid. This issue can be resolved by changing the control mode of some inverters to grid-forming (GFM), which the PLL loop is replaced by a droop control loop. Nevertheless, the question regarding the ratio of operating IBRs under GFL and GFM in maintaining system stability has yet to be answered. This paper aims to fill this gap. We first built a high-fidelity simulation model consisting of only GFM and GFL inverters followed by extracting the stability features from the time-domain current and frequency waveforms of individual inverters. Next, an entropy weight method (EWM) is proposed to build an objective evaluation model for assessing the grid stability. Numerical studies were conducted to assess the stability due to different ratios of GFL and GFM along with different grid topologies and IBR locations. Overall, this paper serves as a guide for future placement strategies of distributed renewables within power grids.
Two-Way Quality of Service Policy Enforcement Methods in Dynamically Formed Overlay Virtual Private Networks

Modern Virtual Private Networks (VPNs) are built over various last-mile connections. Physical data rates may not be aligned to customer contracted speed. This leads to traffic drops by the service provider when a customer sends traffic at line speed. VPN service over such lines may experience connection interruptions and packet loss and never converge in the worst-case scenario. Large enterprises use multiple VPN connections simultaneously over different transport networks. Each network may have different physical properties and requires separate Quality of Service (QoS) policy. It needs to be configured both ways, from customer to service provider and from service provider to customer. By using overlay VPN, customers can configure granular and symmetric QoS policies. This enables capacity planning and good quality of experience. For the FlexVPN solution, based on IKEv2 and IPSec technology, symmetric QoS is easily attainable and is suitable for large-scale deployments. Attributes can be locally stored or received from an external server. For configuration that needs to be manually applied on a large number of network devices, a network automation framework may be used to speed up configuration deployment and avoid misconfiguration issues. Nornir is one of the automation frameworks currently widely used for configuration deployment.
Explicit Design and Analysis of Inductive Clamping Class E Inverters for ZVS Operation with Capacitive Load Impedance

As a kind of nonlinear power amplifier, class E inverters has the advantages of ultra-high efficiency, high power density, simple circuit topology and low-side driving, but it's highly load sensitive, only maintains zero-voltage switching (ZVS) over a narrow range of load impedance, and is susceptible to switching overvoltage when the load varies. With the inductive clamping circuits, class E inverter has all advantages mentioned above and in addition has minimum spurious oscillations and a wide range of load maintaining ZVS. This paper proposed explicit design of inductive clamping class E inverter (ICCEI) and revealed the mechanism of inductive clamping circuit through steady-state response and transient response. The ICCEI with and without clamping power supply have been built and tested. The efficiency of these can be up to 91.7% and 90.23% at nominal operating conditions, respectively. The experimental results show that the two inductive clamping Class E inverters are able to maintain ZVS operation under the capacitive load condition without using any control strategy or complicate matching networks and quickly reach steady-state in one cycle when load varies, effectively avoiding switching overvoltage.
Effect of Three Selected treatment modalities on Mucositis among Children with Leukemia

: Children diagnosed with and on treatment for leukemia face multiple health-related problems and explicit needs that call for complex and individualized care. This complication within the oncology pediatric setting requires a multidisciplinary collaboration for the comprehensive support of the children and their family study aimed to draw a comparison between the effects of three therapeutic modalities (honey, honey plus coffee and olive) on children suffering from oral mucositis. Research Design: Randomized Control Trial with three blinding method design was used to accomplish this study. Setting: The study was conducted at the oncology department of the Pediatric Hospital affiliated to Ain Shams University in Cairo. Subjects: A convenience sampling of 60 children was engaged in the study. Children were assigned into three groups (Group I: received mucositis care by honey, Group II: received mucositis care by honey plus coffee and Group III: received mucositis care by olive oil) based on using a simple random sample approach. Tools: Four tools were used. The tools: Children characteristics and mothers characteristics, Tool II: The Pre/Post Oral Mucositis Reporting of symptoms (PROMS) scale. Tool III: The World Health Organization (WHO) Oral Mucositis Grading Scale. Tool IV: Children international mucositis evaluation scale ChIMES Results. Post-intervention after two the week, there was highly significant difference pre/post-intervention of three modalities on the different grade of mucositis improvement, transported the better progress in children condition and subside in all complaints. It was surprising that all children (100.0%) who established honey plus coffee presented earliest recovered completely before the other groups at week three. The majority of them (90.0%, 100.0%, and 85.0%) respectively shifted to grade 1 and honey plus coffee group was the best one. All children (100.0%) completely recovered in the fourth week. Conclusion The present study highlight and has provided further support for the significant correlation between the three types of treatment modalities as well as the evidence of the positive effect of a combined effect of honey and coffee in earlier alleviation of the severity of mucositis. The beneficial properties of honey alone are manifested clearly than olive oil in the field of oral ulcers care. Recommendations Increase public awareness on how to achieve and preserve good oral health, what facilities they can practically expect, and what tasks they have in return. Further well-designed studies in this life-threatening area are highly needed can be applied to numbers of children and in different settings to have generality.
Effect of Empathy-Based Training Program on Psychiatric Nurses’ Empathetic Communication Skills

: Psychiatric nursing are special areas in terms of interaction and communication with the patient. In order to improve patient care, psychiatric nurses need to develop their empathy skills. Nurses with enhanced empathic abilities can understand the patient and provide the necessary care. Objective: To explore the effect of empathy-based training program on psychiatric nurses’ empathic communication skills nurses. Study design: A quasi experimental design was utilized for this study. Setting This study has been carried out at Tanta Mental Health Hospital. Subjects : The subjects of the study comprised all of the nurses working at the hospital which were 80 nurses and divided randomly into two study and control group (40 nurses for each group). Tools: Three tools were used namely, “socio-demographic and Job characteristics Structured Interview Schedule”, “Jefferson Scale of Empathy (JSE)”, and “Empathic Communication Skill Scale-(ECSS)”. Results: Results of this study showed a statistical significant difference when comparing control with study group at post test with three months regarding to both level of knowledge about empathy and empathic behavior (P=0.00 for both levels). C onclusion: Passing through empathic communication training program experience brings a positive change and improve nurses’ empathic skills in the study group than control group. Recommendation: Implementing continuous empathic training program is needed to all nurses to maximize nurses’ empathic skills.
Comparison of match performance indicators of successful and unsuccessful teams in the Turkish Super League

This study aims to compare the match performance indicators of the successful and unsuccessful teams in the Turkish Super League in the 2018-2019 season. The study group for this research consists of the top 3 teams in the Super League who also participated in the Champions League and UEFA European League: Galatasaray, Medipol Başakşehir
Synchronization of Universitas Jambi’s Postgraduate Strategic Plans in the UNJA-SMART Platform: A Study of Problems and Solutions

The present study aimed to investigate the understanding, problems, and solutions among the study program administrators staff, secretary, and head of the Post-graduate study program in planning and managing UNJA-SMART as the performance program of the university. Qualitative descriptive design was used as a research method of the present study. There were 14 administration staff and 4 teammembersandpostgraduatedirectorswhoparticipatedintheFGDactivitiesinthisstudy. Theﬁndingsrevealedthatthepostgraduatestudyprogrammanagement teamhadagoodlevelofunderstandingoftheUniversity’svision.Theyalsorealize theimportanceoftheirroleinassistingeducatorsincreatinguniversitygraduates whoareindemandbytheworldofwork.Additionally,severalproblemswere foundinthisstudy,namelythelackofavailabledataandinformation,2)thelack ofinterestfrommanagerstohelpprovidedata,and3)limitedteammembers.In thisregard,therewereseveralpossiblebreakthroughsproposedbytheresearchers tosolvetheproblems,namely:1)carryouttheFGDprocesswithstudyprogram managerstocollectthedataneededtodesigntheFGDStrategicPlan,and2)form anadditionalteamtocompletetherequireddatajointly.
The Relationship between Loneliness and Game Preferences of Secondary School Students

Computer and video games have become a popular form of entertainment among adolescents and adults. Day by day, the numbers of computer and video game players have increased significantly. According to the “2014 Essential Facts About the Computer and Video Game Industry” report released by the Entertainment Software Association (ESA) in April 2014, total consumer spend on game industry has been $21.53 billion dollars in 2013. Recently, many researchers concentrate on the more negative aspects such as excessive play and addiction of adolescents’ computer game playing. However, the loneliness has been found to be one of the essential predictor of game addiction. The purpose of the current study was to determine the relationship between the loneliness level and game preferences of 5th, 6th, 7th, and 8th grade students. To accomplish this purpose, survey method was used and the data were obtained by a game playing habits and preferences questionnaire and loneliness scale. The participants of the study consist of 843 secondary school students, ranged from 11 to 14 years, in Istanbul, Turkey. The analyses of obtained data were presented and discussed at the results and conclusion section of the study.
Children and Parents’ Characteristics as Factors causes Depression, Anxiety and Stress among Parents with Children receiving Chemotherapy

: Parents of children with cancer have high levels of psychological distress. High levels of depression and anxiety after diagnosis reveal many aspects of parents’ health. Aim: This study aimed to identify Children and Parents’ Characteristics as Factors causes Depression, Anxiety and Stress among Parents with Children receiving Chemotherapy. Methods: Descriptive design was used to accomplish this study. The subjects consisted of a convenience sample of 100 parents of cancer children. Tools of data collection included, a socio-demographic and clinical data structured interview schedule and the Arabic short version of the standardized depression-anxiety, stress scale-21 items. Results: The majority of the studied parents suffer an extremely severe level of depression, anxiety and stress. Conclusion: The results revealed that psychological distress increased among parents with low family income, had not safe sewage disposal, not covered by health insurance, had children in the first stage of cancer, who took many hours to arrive to the hospital, waiting time more than two hours and alopecia as a side effect of the treatment.
Intelligent System to Support Judgmental Business Forecasting: The Case of Unconstraint Hotel Room Demand

In this paper, we describe the research and development of a fuzzy expert system and Economic system are characterized by increasing uncertainty in their dynamics hotel room demands. This increasing uncertainty is likely to incur bad decisions that can be costly in financial terms. This makes forecasting of uncertain economic variables an instrumental activity in any organization. This paper takes the hotel industry as a practical application of forecasting using the Holt-Winter method. The problem here is to forecast the uncertain demand for room at a hotel for each arrival dat. Forecasting is part of the revenue management system whose objective is to maximize the revenue by making decisions regarding when to make room available for customers and at what price . the forecast approach discussed in this paper is based on quantitative models and does satisfactory for certain days this is not the case for other arrival days. It is believed that human judgment when dealing with external event that may affect the variables begins forecasted. Actual data from a hotel are used to illustrate the forecasting mechanism.
Identiﬁcation method for power quality disturbances in distribution network based on transfer learning

: For a higher classiﬁcation accuracy of disturbance signals of power quality, a disturbance classiﬁcation method for power quality based on gram angle ﬁeld and multiple transfer learning is proposed in this paper. Firstly, the one-dimensional disturbance signal of power quality is transformed into a Gramian angular ﬁeld (GAF) coded image by using the gram angle ﬁeld, and then three ResNet networks are constructed. The disturbance signals with representative signal-to-noise ratios of 0 dB, 20 dB and 40 dB are selected as the input of the sub-model to train the three sub-models, respectively. During this period, the training weights of the sub-models are transferred in turn by using the method of multiple transfer learning. The pre-training weight of the latter model is inherited from the training weight of the previous model, and the weight processing methods of partial freezing and partial ﬁne-tuning are adopted to ensure the optimal training eﬀect of the model. Finally, the features of the three sub-models are fused to train the classiﬁer with a full connection layer, and a disturbance classiﬁcation model for power quality is obtained. The simulation results show that the method has higher classiﬁcation accuracy and better anti-noise performance, and the proposed model has good robustness and generalization.
Factors favouring and hindering the development of organic farming in France: a multilevel analysis

Organic farming covers just 3.5% of the utilised agricultural area (UAA) in France (2011 Agence Bio figures). Sales statistics show that a mere 2.3% of the French food market came from organic farming in 2008. The French government's Environment Forum ("Grenelle de l'Environnement") set as a target to triple the size of the organic farming area in five years. Yet if this is to happen, it is vital to gain a better understanding of the socio-economic factors that drive and hinder conversion to organic farming, whether farm factors (structure and practices) or market access factors. The PEPP project is original in that it draws on three studies conducted at different levels, which bring complementary perspectives to the debate: the farm (Part 1), the municipality in which the farm is established (Part 2), and the sector (especially the downstream part) to which the farm belongs (Part 3).