Miracle-dz/UniFAR-FTUs huggingface dataset:
A Fault Diagnosis Method of Rolling Bearing Based on Wavelet Packet Analysis and Deep Forest

The frequent accidents caused by the main fan motor in coal mines have exposed the safety hazards of rolling bearings. When a rolling bearing fails, its symmetry is broken, resulting in a rapid decline in its safety performance and posing a great threat to the main fan. Therefore, accurate rolling bearing fault diagnoses are the key to ensuring the safe and durable operation of main fans. Thus, in this paper, we propose a new fault diagnosis method of rolling bearing based on wavelet packet analysis and deep forest algorithm. Firstly, experiments were conducted under different health states to guarantee the diversity of data relating to the rolling bearing’s main fan and then to ensure the accuracy of the fault diagnosis under different health states. On the basis of the collected vibration signal data, we conducted the wavelet packet analysis method to extract the characteristics of the vibration signal and obtained a feature vector that characterizes the health of the bearing. After that, the extracted feature vector was used as the feature vector of the deep forest algorithm to train the deep forest diagnosis model and determine the location and fault type of the bearing fault. Finally, the proposed method in this paper was validated with real-time monitoring data of a main ventilation fan and compared with other diagnostic algorithms, which not only verified the diagnostic capability of deep forest in handling small samples, but also verified the diagnostic capability of the fault diagnosis model. In summary, the proposed fault diagnosis approach is promising in real coal mine main fans.
PREDICTION OF AIRCRAFT HIGH{LIFT DEVICE NOISE USING DEDICATED ANALYTICAL MODELS

An exhaustive analytical predictive tool of the aerodynamic noise generated by deected high{lift devices is presented in this paper. Three{dimensional eects are especially investigated. An analytical model of ap side edge noise is rst proposed, on the basis of existing literature. Secondly, another model is proposed to simulate slat horn noise. Both models are comforted by dedicated experiments conducted in the open jet wind tunnel of the Ecole Centrale de Lyon. The corresponding contributions to the far{ eld noise are added to the one from two{dimensional sources spanwise distributed on the slat and ap. The nal results compare favourably with igh t tests of an aircraft with fully deected high{lift devices and retracted landing gears.
Traits and Transports: The Effects of Personality on the Choice of Urban Transport Modes

We examine the influence of personality on car driving, usage of public transport and cycling. Personality is measured through the Big Five personality traits (i.e., Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism) and Environmental personality. Data were collected through a Web-based panel of adult citizen in the city of Gothenburg, Sweden (N = 1068). Age, gender, income, children at home and residential area were used as control variables. Car driving is influenced by low degree of Openness, high degree of Conscientiousness, and low degree of Environmental personality. Usage of public transport is influenced by low degree of Conscientiousness, high degree of Agreeableness, and high degree of Environmental personality. Cycling is foremost influenced by a high degree of Environmental personality.
Ultra-short multi soliton generation for application in long distance communication

Generation of picometer optical soliton pulses is investigated using a nonlinear PANDA ring resonator system connecting to an add/drop filter system. The objectives of the research are to employ systems of microring resonator (MRR) to generate binary signals to be carried out along fiber optic communication. Effective parameters such as refractive indices of a silicon waveguide, coupling coefficients (? ), coupling loss, radius of the ring (R) and the input power can be selected properly to operate the nonlinear behavior. The input Gaussian laser pulses with power of 600 mW are inserted into the system. The central wavelength of the input power has been selected to ? 0=1.55 µm where the nonlinear refractive index of the medium is n2=2.6×10-17 m 2 W-1 . Therefore binary signals generated by the add/drop filter system can be converted to secure codes where the decoding process of the transmitted codes can be obtained at the final step. Here, multi soliton pulses with full width at half maximum (FWHM) of 325 could be generated, converted to secure codes and finally detected over 70 km optical fiber communication link.
Quality Assessment of Water from Some Selected Sources in Pokhara, Nepal

The present study was carried out to analyze and compare the physicochemical properties of water from Seti Gandaki river, Kali stream, irrigation canal, bore well and potable sources in Pokhara Metropolitan-1, Kaski, Nepal by using standard techniques. Observed properties from different sources were compared to each other and with recommended standard World Health Organization (WHO) values. The result of the study showed that the large number of physical and chemical parameters such as color odor, temperature, specific gravity, relative turbidity, suspended solid (SS), total dissolved solid (TDS), total solid (TS), pH, electrical conductivity (EC), alkalinity, carbonate, bicarbonate, residual sodium carbonate (RSC), boron, chloride, sulphate, nitrate and nitrite-N, calcium hardness, magnesium hardness, total hardness, oil and grease, phenol, surfactants were within the permissible limit of WHO. The observed color of river water and irrigation water was glacial creamy white due to excess of cream white colored suspended colloidal particles in water. The analyzed amount of iron for the sample from different sources was more than that of permissible limit of WHO standard and iron amount was much more for bore well sample. On the basis of analyzed result and WHO standard values, it was concluded that potable water, bore well water and stream water can be used for washing, bathing, irrigation, and industrial purposes after proper treatments. In this study, most of the physicochemical and organic parameters were also analyzed but not the microbiological species.
Declining Student Performance and Satisfaction following Back-to-Back Scheduling of Foundational Science Exams: Experience at a Large US Osteopathic Medical School

Examinations are a significant source of academic stress, particularly in the demanding environment of medical education. In order to reduce the burden of anxiety, burnout and depression among students, medical schools aim at reducing academic stress by exploring alternatives to frequent, high-stakes assessment schedules. The bundling of examinations into integrated block assessments has emerged as a successful strategy to reach this goal, as the resulting reduction in examination days can provide uninterrupted periods of study time that allows for a deeper understanding of material as well as an opportunity for students to take wellness breaks between exams. The present study examines the outcomes of a natural experiment on back-to-back exam scheduling in two related medical school courses post hoc. The outcomes of the scheduling change on the academic performance and satisfaction of examinees were analyzed with a mixed-methods approach. The data show that the transition from a spaced-out to a back-to-back exam schedule was accompanied by a drop in academic performance and student satisfaction with the curricular schedule. The data presented suggest that without proper curricular integration, the block scheduling of exams has negative effects on learning outcomes and student satisfaction.
Exploring How Tourist Engagement Affects Destination Loyalty: The Intermediary Role of Value and Satisfaction

A conceptual network between and among tourist engagement, perceived value, tourist satisfaction, and destination loyalty was constructed and validated based on 401 valid samples collected in Phoenix Ancient Town, a famous destination in western Hunan, China. The research results confirm the logic chain in marketing psychology of “engagement-value-evaluation/behavior” in the context of a tourism destination. Specifically, tourist engagement has direct positive effects on destination loyalty, but not on tourist satisfaction. In addition, tourist engagement exerts indirect positive effects on destination loyalty by producing functional value and emotional value for tourists which, in turn, promotes tourist satisfaction towards a destination. However, the indirect influences of tourist engagement on tourist satisfaction and destination loyalty by way of creating tourists’ social value are not significant. This research validates the role of tourist engagement in the formation of destination loyalty from a tourist value perspective and thereby offers a new theoretical clue for tourism marketing.
Twitter opinion mining and visualization of Ecuadorian Goverment's decisions

Social media impact on the present time is undeniable. People communication dynamics are extremely different from those that were available a decade or fifteen years ago. These new age interactions have allowed people expressing their ideas or opinions in an extended way. On the other hand, such interactions have encouraged social actors to take into consideration these opinions in order to accomplish different goals. Thus, the analysis of data generated by people has become a popular task that is required for different applications. One application can be found at political or government spheres. Specifically, sentiment analysis applications have been implemented in order to evaluate the political scenario before elections or to improve e-government initiatives. Following such approach, the present project introduces the opinion mining of selected Ecuadorian Government’s decisions data generated on Twitter, and the presentation of such results through a Web application. This way, a hybrid sentiment analysis method has been implemented and utilised to classify by its polarity the tweets corresponding to three decisions taken by the Ecuadorian government, which have caused a certain degree of discussion on Twitter. Manual classifications of a portion of the tweet sets have been carried out as well as the utilisation of an online sentiment analysis API for classifying all the tweets and comparing the obtained results. All these implementations and the respective development process allowed evidencing the challenge and limitations of this type of solutions. Although the hybrid method implementation outperformed the sentiment analysis API on some datasets, it was not good enough for all the datasets. In addition the method’s results are clearly far from satisfactory. However the obtained solution can be considered a good starting point that open the doors to future improvements in order to achieve a solid tool.
The Effects of Nano-Additives Added to Diesel-Biodiesel Fuel Blends on Combustion and Emission Characteristics of Diesel Engine: A Review

How to improve the combustion efficiency and reduce harmful emissions has been a hot research topic in the engine field and related disciplines. Researchers have found that nano-additives to diesel-biodiesel fuel blends have achieved significant results. Many research results and both current and previous studies on nanoparticles have shown that nano-additives play an essential role in improving the performance of internal combustion engines and reducing the emission of harmful substances. This paper summarizes the recent research progress of nanoparticles as additives for diesel-biodiesel fuel blends. Firstly, the excellent properties of nanoparticles are described in detail, and the preparation methods are summarized and discussed. Secondly, the effects of several commonly used nanoparticles as diesel-biodiesel fuel blends on combustion performance and harmful substances emissions in terms of combustion thermal efficiency, brake specific fuel consumption, CO, UHC and NOx, are reviewed. Finally, the effects of nano-additives on internal combustion engines, the environment and human health are discussed. The work carried out in this paper can effectively contribute to the application of nanomaterials in the fuel field. Based on our work, the researchers can efficiently select suitable nano-additives that enable internal combustion engines to achieve efficient combustion and low-emission characteristics.
Magnetic Adsorbents for Wastewater Treatment: Advancements in Their Synthesis Methods

The remediation of water streams, polluted by various substances, is important for realizing a sustainable future. Magnetic adsorbents are promising materials for wastewater treatment. Although numerous techniques have been developed for the preparation of magnetic adsorbents, with effective adsorption performance, reviews that focus on the synthesis methods of magnetic adsorbents for wastewater treatment and their material structures have not been reported. In this review, advancements in the synthesis methods of magnetic adsorbents for the removal of substances from water streams has been comprehensively summarized and discussed. Generally, the synthesis methods are categorized into five groups, as follows: direct use of magnetic particles as adsorbents, attachment of pre-prepared adsorbents and pre-prepared magnetic particles, synthesis of magnetic particles on pre-prepared adsorbents, synthesis of adsorbents on preprepared magnetic particles, and co-synthesis of adsorbents and magnetic particles. The main improvements in the advanced methods involved making the conventional synthesis a less energy intensive, more efficient, and simpler process, while maintaining or increasing the adsorption performance. The key challenges, such as the enhancement of the adsorption performance of materials and the design of sophisticated material structures, are discussed as well.
The Multilateral Efficacy of Chitosan and Trichoderma on Sugar Beet

The majority of all fungal formulations contain Trichoderma spp. , making them effective biological control agents for agriculture. Chitosan, one of the most effective natural biopolymers, was also reported as a plant resistance enhancer and as a biocide against a variety of plant pathogens. An in vitro three-way interaction assay of T. atroviride, chitosan, and important plant pathogens (such as Cercospora beticola and Fusarium oxysporum) revealed a synergistic effect on fungistasis. Furthermore, chitosan coating on Beta vulgaris ssp. vulgaris seeds positively affected the onset and efficiency of germination. We show that priming with T. atroviride spores or chitosan leads to the induced expression of a pathogenesis-related gene (PR-3), but only supplementation of chitosan led to significant upregulation of phytoalexin synthesis (PAL) and oxidative stress-related genes (GST) as a defense response. Repeated foliar application of either agent promoted growth, triggered defense reactions, and reduced incidence of Cercospora leaf spot (CLS) disease in B. vulgaris. Our data suggest that both agents are excellent candidates to replace or assist common fungicides in use. Chitosan triggered the systemic resistance and had a biocidal effect, while T. atroviride mainly induced stress-related defense genes in B. vulgaris. We assume that both agents act synergistically across different signaling pathways, which could be of high relevance for their combinatorial and thus beneficial application on field.
Ultrasensitive Aptasensors for the Detection of Viruses Based on Opto-Electrochemical Readout Systems

Viral infections are becoming the foremost driver of morbidity, mortality and economic loss all around the world. Treatment for diseases associated to some deadly viruses are challenging tasks, due to lack of infrastructure, finance and availability of rapid, accurate and easy-to-use detection methods or devices. The emergence of biosensors has proven to be a success in the field of diagnosis to overcome the challenges associated with traditional methods. Furthermore, the incorporation of aptamers as bio-recognition elements in the design of biosensors has paved a way towards rapid, cost-effective, and specific detection devices which are insensitive to changes in the environment. In the last decade, aptamers have emerged to be suitable and efficient biorecognition elements for the detection of different kinds of analytes, such as metal ions, small and macro molecules, and even cells. The signal generation in the detection process depends on different parameters; one such parameter is whether the labelled molecule is incorporated or not for monitoring the sensing process. Based on the labelling, biosensors are classified as label or label-free; both have their significant advantages and disadvantages. Here, we have primarily reviewed the advantages for using aptamers in the transduction system of sensing devices. Furthermore, the labelled and label-free opto-electrochemical aptasensors for the detection of various kinds of viruses have been discussed. Moreover, numerous globally developed aptasensors for the sensing of different types of viruses have been illustrated and explained in tabulated form.
The Effects of Mechanical Loading Variations on the Hypertrophic, Anti-Apoptotic, and Anti-Inflammatory Responses of Differentiated Cardiomyocyte-like H9C2 Cells

Cardiomyocytes possess the ability to respond to mechanical stimuli by adapting their biological functions. This study investigated cellular and molecular events in cardiomyocyte-like H9C2 cells during differentiation as well as the signalling and gene expression responses of the differentiated cells under various mechanical stretching protocols in vitro. Immunofluorescence was used to monitor MyHC expression and structural changes during cardiomyoblast differentiation. Moreover, alterations in the expression of cardiac-specific markers, cell cycle regulatory factors, MRFs, hypertrophic, apoptotic, atrophy and inflammatory factors, as well as the activation of major intracellular signalling pathways were evaluated during differentiation and under mechanical stretching of the differentiated H9C2 cells. Compared to undifferentiated cells, advanced-differentiation cardiomyoblasts exhibited increased expression of cardiac-specific markers, MyHC, MRFs, and IGF-1 isoforms. Moreover, differentiated cells that underwent a low strain/frequency mechanical loading protocol of intermediate duration showed enhanced expression of MRFs and hypertrophic factors, along with a decreased expression of apoptotic, atrophy, and inflammatory factors compared to both high-strain/frequency loading protocols and to unloaded cells. These findings suggest that altering the strain and frequency of mechanical loading applied on differentiated H9C2 cardiomyoblasts can regulate their anabolic/survival program, with a low-strain/frequency stretching being, overall, most effective at inducing beneficial responses.
Design of an Effective Prosthetic Hand System for Adaptive Grasping with the Control of Myoelectric Pattern Recognition Approach

In this paper, we develop a prosthetic bionic hand system to realize adaptive gripping with two closed-loop control loops by using a linear discriminant analysis algorithm (LDA). The prosthetic hand contains five fingers and each finger is driven by a linear servo motor. When grasping objects, four fingers except the thumb would adjust automatically and bend with an appropriate gesture, while the thumb is stretched and bent by the linear servo motor. Since the change of the surface electromechanical signal (sEMG) occurs before human movement, the recognition of sEMG signal with LDA algorithm can help to obtain people’s action intention in advance, and then timely send control instructions to assist people to grasp. For activity intention recognition, we extract three features, Variance (VAR), Root Mean Square (RMS) and Minimum (MIN) for recognition. As the results show, it can achieve an average accuracy of 96.59%. This helps our system perform well for disabilities to grasp objects of different sizes and shapes adaptively. Finally, a test of the people with disabilities grasping 15 objects of different sizes and shapes was carried out and achieved good experimental results.
A Case of Peroneal Tendon Subluxation following Trivial Ankle Injury and Review of the Literature

Subluxation or dislocation of the peroneal tendon is uncommon ankle disorder and most of the time misdiagnosed as ankle sprain. Young adults and adolescents who are active on sports activities are more prone to get this problem. The main cause of this disorder is because of the superior peroneal retinaculum avulsion from its insertion with fibular bone. We report a case of peroneal subluxation in a 19-year-old girl after twisting of the ankle one year back. She was initially treated with ankle splintage, rest and analgesics but her problem did not improve. Magnetic resonance imaging (MRI) of the ankle showed subluxation of the peroneal tendon and managed operatively. One year after the operation she is having pain-free ankle without any difficulties for walking.
Improved Monitoring and Assessment of Meteorological Drought Based on Multi-Source Fused Precipitation Data

Meteorological drought, one of the most frequent climate-related disasters, causes great danger for human health and socioeconomic development. With an aim to improve the accuracy of meteorological drought monitoring, this study collected multi-source remotely-sensed precipitation products, i.e., the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement Mission (GPM), and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), and compared their performance over Hubei Province, China. The geographic difference analysis was used to blend the best-fitted product with gauged precipitation data. Based on the fused dataset with verification, the spatio-temporal characteristics of drought were investigated. Results showed that GPM performed the best in precipitation numerical evaluation and event detection with a 5 mm/d threshold. The fused data accurately captured 80% of historical drought events and indicated that extreme annual droughts mainly occurred in the northern and northwestern regions, while slight, moderate, and severe droughts mainly occurred in the central and eastern parts. The short-term drought exhibited the highest frequency of 33% in summer and the lowest frequency of 27% in spring, while the medium-term drought showed a higher frequency in autumn and winter. This could be a preliminary assessment of drought based on multi-source fused precipitation data for precise drought outlook and risk management.