Miracle-dz/UniFAR-FTUs huggingface dataset:
Anthropometric profile and its correlation to insulin resistance in female
students with obesity

The prevalence of obesity in adolescent girls is increasing each year. Several anthropometric measurements can be used to detect the incidence of insulin resistance. This study was aimed to observe the correlation of anthropometric profiles with insulin resistance in adolescent girls with obesity. This was an observational study with a total of 120 female students of Universitas Diponegoro (Undip), aged between 18 and 21 years old, who have waist circumference >80 cm. They were chosen by a simple random sampling technique. Anthropometric profile data taken has consisted of waist circumference, hip circumference, waist-hip circumference ratio (WHR), waist-to-height ratio (WHtR), neck circumference, waist circumference, thigh circumference, and 2D:4D digit ratio. Insulin resistance data was determined using the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR.). Bivariate analysis was completed with the Spearman rank test. There was 83.3% of subjects who experienced insulin resistance. High WHtR was found in 98.3% of total subjects as many as 90.8% of subjects were at risk based on WHR values. Based on 2D:4D ratio digits, neck circumference, wrist circumference <50% of subjects were found as at risk. There was no correlation between waist circumference, WHR, wrist circumference, 2D:4D digit ratio with HOMA-IR (p>0.05). However, there was a positive correlation between WHtR, neck circumference, and thigh circumference with HOMA-IR (p<0.05). Anthropometric profiles such as WHtR, neck circumference, and thigh circumference were correlated with insulin resistance in female adolescents with obesity.
Numerical investigation and experimental verification of the proposed robot leg virtual model

Modeling and simulation studies are significant in the early stages of the design process, since there is no prototype. For instance, dynamic systems such as control systems can be developed rapidly and effectively with the simulation studies. However, the validity of the results obtained from the simulation studies performed with the dynamic model should be verified before deepening the design studies. After all, the accuracy of the results of the performed simulations depends on the accuracy of the obtained model. In this paper, studies on the numerical analysis of the proposed leg model to be used in a quadruped robot, and experimental verification of the dynamic model obtained by this means are presented. In this context, a simulation model has been constructed by using the physical and mathematical model that includes all the major components of the proposed robot leg in order to evaluate the performances of different algorithms in the design studies. In order to evaluate the validity of the simulation model, a series of tests were carried out on the experimental setup and the obtained results were demonstrated both numerically and graphically. According to the obtained results, it was seen that the built simulation model was valid, and matched with the real system and its physical trends. Finally, after discussing the reliability and validity of the proposed robot leg experimental and simulation setup, low-level components affecting controller performance in hydraulically actuated robots are discussed and recommendations made.
Comparative Assessment of the Long-Term Efficacy of Home-Based Versus Center-Based Cardiac Rehabilitation

Cardiac rehabilitation programs support the health, wellness, and recovery of patients with cardiovascular conditions. This systematic review attempts to expand these findings while analyzing the latest randomized controlled trials (RCTs) focusing on the long-term advantages of home/center-based cardiac rehabilitation interventions. This study also comparatively analyzes the benefits of opting for home-based cardiac rehabilitation instead of center-based measures to improve the long-term clinical outcomes of cardiac patients. We extracted and analyzed 10 studies (based on 1,549 cardiac patients) concerning the therapeutic efficacy of center/home-based cardiac rehabilitation interventions. The included studies complied with the year range of 2000-2021. The risk of bias assessment was undertaken using the Cochrane Risk-of-Bias tool to evaluate random sequence generation, allocation concealment, blinding of subjects, outcome data completeness, and selective reporting patterns concerning the included RCTs. The findings of our systematic review confirmed the capacity of a home-based cardiac rehabilitation program to effectively improve left ventricular ejection fraction, health-related quality of life, physical fitness, recovery rate, self-efficacy, sedentary lifestyle, physical activity, satisfaction level, functional capacity, social support, and hemodynamic parameters of patients with cardiovascular diseases. Home-based cardiac rehabilitation had the potential to minimize the levels of triglycerides, anxiety, depression, waist circumference, and body mass index/weight of cardiac patients. The results of our systematic review affirmed the long-term therapeutic efficacy of a home-based cardiac rehabilitation program compared to a center-based cardiac rehabilitation program for adult cardiac patients.
Analysis of State-of-the-art Smart Metering Communication Standards

Currently, utility companies in Europe are trying to overcome new challenges, such as generation diversification, greenhouse gas emissions regulation, energy conservation, demand response and a new liberalized market system. It is clear that these cannot be resolved with the current infrastructure. A next-generation grid, commonly referred to as “the smart grid” is expected to be the solution to these issues. Effectively, a smart grid is the convergence of ICT with power systems engineering. A lot of ideas and techniques concerning smart grids are already in use, albeit quite isolated (such as IEDs (Intelligent Electronic Devices), “supervisory control and data acquisition” (SCADA) and AMR (Automated Meter Reading) ) and thus can’t be considered a breakthrough. For a grid to be “smart”, a well designed layer of intelligence placed over the assets of a utility should provide the basis for new fundamental grid applications. For example, demand response and VPPs (virtual power plants) would require tight integration of smart meters, home networks and distribution transformers or substations. This illustrates the importance of an appropriate communication infrastructure on multiple levels. In this paper an architectural overview of the smart grid is presented along with an overview of existing ICT standards related to the smart grid.
Fungal degradation of cultural heritage monuments and management options

Fungi are widely recognized as major biodeteriogens of both modern and historical buildings/monuments. Different fungal taxa have been isolated from cultural heritage monuments/structures depending on climatic conditions, humidity level and surface material for fungal colonization. Deterioration of such monuments by fungi is through assimilatory biochemical and nonassimilatory mechanisms. This article provides information on fungi infesting historical monuments/sites across the globe and their management by various biocidal compounds. The preventive methods and potency of various essential oils against fungal growth on cultural heritage materials are also critically reviewed. The available information supports the use of essential oils for surface treatment or vapour exposure to prevent mould infestation on heritage monuments. Essential oils may also function as fungicidal agents in biocidal formulations/coatings.
Surgery of frames in Hilbert spaces

Frames which are tight or full spark might be considered optimally conditioned in applications. This leads to the question of perfect preconditioning of frames. In this paper, we consider the surgery of frames such that given frames can be manipulated to tight or full spark frames by removing and adding some elements. We give a necessary and sufﬁcient condition such that a ( r , k ) -surgery on a frame results in a tight frame. We also provide a necessary and sufﬁcient condition such that a ( 1 , k ) -surgery on a tight frame resulting in a tight frame with same bound. Finally, we characterize that a ( r , k ) -surgery on a frame resulting in a full spark frame is possible. We obtain a necessary and sufﬁcient condition such that a ( r , k ) -surgery on a given frame results in a full spark frame.
Phase Diagram of a Strained Ferroelectric Nanowire

Ferroelectric materials manifest unique dielectric, ferroelastic, and piezoelectric properties. A targeted design of ferroelectrics at the nanoscale is not only of fundamental appeal but holds the highest potential for applications. Compared to two-dimensional nanostructures such as thin films and superlattices, one-dimensional ferroelectric nanowires are investigated to a much lesser extent. Here, we reveal a variety of the topological polarization states, particularly the vortex and helical chiral phases, in loaded ferroelectric nanowires, which enable us to complete the strain–temperature phase diagram of the one-dimensional ferroelectrics. These phases are of prime importance for optoelectronics and quantum communication technologies.
ECG - Based Emotion Detection via Parallel - Extraction of Temporal and Spatial Features Using Convolutional Neural Network

Emotion detection from an ECG signal allows the direct assessment of the inner state of a human. Because ECG signals contain nerve endings from the autonomic nervous system that controls the behavior of each emotion. Besides, emotion detection plays a vital role in the daily activities of human life, where we lately witnessed the outbreak of the (COVID-19) pandemic that has a bad influence on the affective states of humans. Therefore, it has become indispensable to build an intelligent system capable of predicting and classifying emotions in their early stages. Accordingly, in this study, the Parallel-Extraction of Temporal and Spatial Features using Convolutional Neural Network (PETSFCNN) is established. So, in-depth features of the ECG signals are extracted and captured from the suggested parallel 2-channel structure of 1-dimensional CNN network and 2-dimensional CNN network and then combined by feature fusion technique for more dependable classification results. Besides, Grid Search Optimized-Deep Neural Network (GSO-DNN) is adopted for higher classification accuracy. To verify the performance of the proposed method, our experiment was implemented on two different datasets. The maximum classification accuracy of 97.56% and 96.34% on both valence and arousal were gained, respectively using the internationally approved DREAMER dataset. While the same model on the private dataset achieved 76.19% for valence and 80.95% for arousal respectively. The classification results of the PETSFCNN-GSO-DNN model are compared with state-of-the-art methods. The empirical findings reveal that the proposed method can detect emotions from ECG signals more accurately and better than state-of-the-art methods and has the potential to be implemented as an intelligent system for affect detection.
Media Diorama dan Keaktifan Belajar Peserta Didik dalam Pembelajaran IPA

Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan media diorama terhadap keaktifan belajar peserta didik dalam pembelajaran Ilmu Pengetahuan Alam. Penelitian ini merupakan penelitian eksperimen dengan desain penelitian yaitu Control Group Pre-test and Post-test. Populasi dalam penelitian ini adalah peserta didik kelas V Sekolah Dasar Negeri Brosot berjumlah 58 peserta didik. Penelitian ini termasuk penelitian populasi. Teknik pengumpulan data menggunakan angket. Teknik analisis data menggunakan uji t (t-test), dengan uji prasyarat analisis menggunakan uji normalitas dan uji homogenitas dengan taraf signifikan 5%. Hasil penelitian dapat disimpulkan bahwa ada pengaruh positif penggunaan media diorama terhadap keaktifan belajar peserta didik dalam pembelajaran Ilmu Pengetahuan Alam. Hal tersebut diketahui dengan perolehan thitung sebesar 16.969 dan ttabel yaitu 1,672 dengan dk = n1 + N2 – 2.
Internet of Things and Its Significance on Smart Homes/Cities

Smart homes and cities is one of the crucial topics for an individual of any age that requires almost zero computer literacy in order to benefit the leisure and luxury offered by smart homes and cities. Benefits offered by smart homes & cities are not only limited to leisure and luxury but other various areas of an individual’s life as well to aid them with information and communication; intelligent responses with the information collected and analyzed; environmental protection and public safety with surveillance. ‘Internet of things’ was invented in 1999 since then there has been a huge bloom in technologies, keeping in mind the present systematic development in sensors, wireless technology, artificial intelligence and machines & devices. This paper outlines the working prototypes that have been developed and deployed in developed countries and recommend to the pacific island nations to accept these technologies for the betterment of their countries. It will also compare the usage of energy and cost saving in smart city and how this can be beneficial to the nations in the Pacific.
Joanna Haigh (Imperial College) replies:

in a first harmonic seiche with a period of about 4 minutes 48 seconds. The theoretical seiche period calculated fits in well with the Alderney writer’s observation of 4 to 5 minutes, though the statement that the tide ebbed and flowed nine or ten times in less than half an hour is slightly at variance with the calculation (six or seven would be more likely). However, there can be variations between the theoretical and observed periods due to the varying depth and irregular shape of a bay. The seiche period reported by the Alderney writer was close to the theoretical calculation and he was observant enough to notice that the phenomenon affected the whole bay. Remarks concerning southerly winds and thundery weather have been confirmed by recent research. Of most importance in the eighteenth century was the effect on shipping, and Bascom (1980) has noted effects in harbours of ships straining at their moorings even with seiches undetected by eye; in this case a ship was grounded while others broke their moorings. In view of current seiche knowledge the 1789 Alderney letter gives us a remarkably detailed description of this rarely noticed natural phenomenon. Unfortunately, following editions of the Gazette de L’Ile de Jersey newspaper did not produce the explanation the writer hoped for.
Workplace Learning: A Paradigm Shift to Improve the 21st Century Workforce

This chapter attempts to address a paradigm shift from training to workplace learning in the 21st century as a means of improving the workforce. For any country or organizations to remain highly competitive, it is workplace learning, not organized training, in which adult employees should seek to engage. This chapter addresses how workplace learning has evolved as the most critical stage in boosting employees’ skill sets among all other training mechanisms. Various theorists’ views and principles have been discussed. It is hoped that the chapter can serve as the basis for teaching, learning, and research regarding this important area called workplace learning. A central theme has emerged from this chapter; that is, the success of a country or organization should be sufficiently gauged by workplace learning. A country’s gross domestic product (GDP) can be misleading given multiple factors such as an emerging aging population. DOI: 10.4018/978-1-4666-2181-7.ch015
After-sales services of offshore crane technology : a case study of TTS’ business model and their after-sales services

Trykk: Allkopi Bergen Samfunnsog næringslivsforskning AS Centre for Applied Research at NHH This master’s thesis is a case study concerning after-sales services in the offshore crane industry. The case in question looks at the different service models that TTS Group ASA offers their customers. This company has recently developed a new service model and initiated a pilot project with one of their customers.
Dispersión de material particulado (PM 10), con interrelación de factores meteorológicos y topográficos

Mining-industrial processes carried out by anthropic action, bring the generation of impacts to the environment. Between the impacts associated with mining is the involvement of the air quality produced by the release of atmospheric pollutants, being subject to study the behavior of the respirable fraction of particulate matter less than 10 microns (PM10) with respect to meteorological and topographical factors. The analyzed scenarios in the study involved daily and annual exposure times of PM10, in wich modeling with AERMOD View Software was made. The model was carried out in two topographic zones, a complex area, located in the municipality of Socha and a simple area located in the municipality of Sogamoso. It was used meteorological data type satellite, in format . SAM for modeled areas. Three types of emission sources were identified in the areas; considering that the disperse fixed emission sources predominate, followed by the mobile sources and point sources were found in low proportion. PM10 dispersion models made for the zones of simple and complex topography, gave as result that direction and the wind speed is conditioned by the type of zone. It allowed a free flow in the predominant direction in wind rose to the area of simple topography and a turbulent flow in the complex area. It was determined that the sources of emission of PM10 in both cases are local scale; They presented a critical radius of drag and deposition of particles of 200 m approximately.
Typicality‐based collaborative filtering for book recommendation

Nowadays, personalized recommender system placed an important role to predict the customer needs, interest about particular product in various application domains, which is identified according to the product ratings. During this process, collaborative filtering (CF) has been utilized because it is one of familiar techniques in recommender systems. The conventional CF methods analyse historical interactions of user‐item pairs based on known ratings and then use these interactions to produce recommendations. The major challenge in CF is that it needs to calculate the similarity of each pair of users or items by observing the ratings of users on same item, whereas the typicality‐based CF determines the neighbours from user groups based on their typicality degree. Typicality‐based CF can predict the ratings of users with improved accuracy. However, to eliminate the cold start problem in the proposed recommender system, the demographic filtering method has been employed in addition to the typicality‐based CF. A weighted average scheme has been applied on the combined recommendation results of both typicality‐based CF and demographic‐based CF to produce the best recommendation result for the user. Thereby, the proposed system has been able to achieve a coverage ratio of more than 95%, which indicates that the system is able to provide better recommendation for the user from the available lot of products.
Survey on Communication Methods of Sensory Disabled Persons

Abstract: Human communication is grounded in cooperative and shared intentions. For a normal human it may need a little effort to speak or listen, with another human. But people having sensory issues like blindness, dumbness or deafness will require a helping hand, device or technology to lead their communication with others. There is a spread of techniques and methods of communication support, and there's no standard way of communicating. Communication approaches are likely to vary supported whether an individual has pre-lingual or postlingual deafblindness, which impairment developed first, and therefore the level of residual hearing or sight. In this survey, different approaches and techniques that exist in Deafblind communication technology from various stakeholder’s perspective are presented. Moreover, the survey has been carried out towards the most optimal technique that can be given for any type sensory disabled person with respect to their vision, hearing and speaking abilities. The issues in these techniques were also reported here.
DESIGN AND SIMULATION OF PARALLEL COUPLED MICROSTRIP BAND PASS FILTER

Filter is one of the key component of microwave communication system. Filter ensures the propagation of signal in required frequency band and attenuates the signals out of the band range. Microwave filters can be realized by using coaxial, waveguide, stripline and microstrip structure. Microstrip filter is preferable due to of its compact size and low weight. Stub line, end edge, parallel coupled, interdigit, combline type of microstrip filters are in use for the time. Parallel coupled microstrip filter has advantageous in to the terms of simple design structure techniques, easy to fabricate and integrate with other RF component/ devices. Design and simulation of parallel coupled microstrip band pass filter is presented in this paper. The proposed filter is designed for 2.45GHz using HFSS ANSYS simulation software. Roger3003 dielectric substrate of height 1.5mm is used as substrate. Defected ground structure approach incorporated to enhance bandwidth. 28.57% fractional bandwidth (2.07202.7720GHz) is achieved with 0.2dB insertion loss in pass band and 30 dB attenuation at 2.2 GHz. Return loss is greater than -27dB in pass band of having maximum return loss of -43.12 dB at 2.6290 GHz. Simulation results exhibit good performance of proposed filter. This filter can be used for ISM band application (2.4-2.5GHz) and 2.6GHz band (2.5-2.69GHz) for terrestrial mobile communication system.
Optimal preview control for HVAC system

In this paper, modeling has been applied to a heating, ventilating, and air-conditioning (HVAC) system by taking a multivariable autoregressive (AR) model into account using observed data and a simple three input/two output model for implementation of a new practical optimal control. The preview control, which is a linear quadratic Gaussian (LQG) optimal control with feedforward compensation, has been applied to control process variables such as indoor temperature and indoor humidity. To evaluate the control performance, a comparison has been made between the preview control and ordinary LQG control. The experiments on a commercial-sized test plant suggest that the preview control enables an improvement tracking property for a reference input in the transient state and also guarantees the global stability in steady state for the HVAC system.
Identification of Rice Plant Diseases Using Image Processing, Machine Learning & Deep Learning: A Review

Agriculture is the primary source of livelihood for about more than 50% of the Indian population and rice is one of the major food grains of India. It is observed that rice plant diseases are the major contributors to reduce the production & quality of food. Identification of such diseases may improve the production quality. This paper gives an idea about different methods such as image processing, machine learning & deep learning which are used to detect deadly diseases in rice plants. Much research has been done to automate the rice plant disease detection process using images of the leaf. This manuscript has compared different rice plant disease detection methods and it is found that deep learning methods are more promising than other two methods.