Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating classification performance of hybrid deep learning and machine learning architectures on activity recognition

Human activity recognition (HAR) has become a popular field to recognize people's activities from signals obtained using various types of body placed sensors. The increase in the elderly population will increase cognitive and physical decline due to aging and may cause to serious injuries and deaths if immediate assistance is not provided. For this reason, temporal dynamics and important features should automatically be extracted in order to support the daily life of the elderly and to recognize their physical activities correctly and real time. In the study, the classification performances of deep models (CNNLSTM: CNN long short‐term memory network, ConvLSTM: convolutional LSTM, LSTM: long short‐term memory network) and four other machine learning algorithms (SMVs: support vector machines, k‐NN: k‐nearest neighbor classifier, DT: decision tree classifier, ERF: ensemble random forest) which are known to be successful in HAR were investigated. Features used features used in deep models are automatically generated however in machine learning models were generated by hand. The deep models are developed using with a huge set of activities containing 2520 tests. In the tests, each activity of the volunteers was recorded with three axis accelerometer, gyroscope and magnetometer sensors placed in the waist region of body. As a result, ConvLSTM reached the highest accuracy with 99.86% in deep models, while SVMs achieved the highest accuracy in fall detection among machine learning algorithms with 98.47%. When the classification of 36 activities was examined, the highest accuracy was obtained with CNNLSTM and SVMs with 86.94% and 74.58%, respectively. Deep models proposed in this study are considered to be more applicable in real‐world HAR scenarios where sensors' data of indefinite length are obtained.
A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development

Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are becoming more commonplace in the transportation sector in recent times. As the present trend suggests, this mode of transport is likely to replace internal combustion engine (ICE) vehicles in the near future. Each of the main EV components has a number of technologies that are currently in use or can become prominent in the future. EVs can cause significant impacts on the environment, power system, and other related sectors. The present power system could face huge instabilities with enough EV penetration, but with proper management and coordination, EVs can be turned into a major contributor to the successful implementation of the smart grid concept. There are possibilities of immense environmental benefits as well, as the EVs can extensively reduce the greenhouse gas emissions produced by the transportation sector. However, there are some major obstacles for EVs to overcome before totally replacing ICE vehicles. This paper is focused on reviewing all the useful data available on EV configurations, battery energy sources, electrical machines, charging techniques, optimization techniques, impacts, trends, and possible directions of future developments. Its objective is to provide an overall picture of the current EV technology and ways of future development to assist in future researches in this sector.
Stability Analysis of the Two-Dimensional HIE-FDTD Method Including Lumped Resistors

Here, the stability analysis of the two-dimensional (2-D) hybrid implicit-explicit finite-difference time-domain (HIE-FDTD) algorithm with lumped resistors is discussed. Specially, there are three different difference schemes of lumped resistors are discussed: the explicit, semi-implicit, and implicit scheme. The stability analysis of the proposed method showed that the HIE-FDTD algorithm loaded with lumped elements is weakly conditionally stable and is not affected by the lumped resistor. In the end, a microstrip circuit loaded with lumped resistor is used to verify whether the analyzed numerical results are consistent with the experimental results.
Ergodic capacity of internet of things’ devices in presence of channel state information imperfection

Non-orthogonal multiple access (NOMA) is deployed to improve spectral efficiency for applications in fifth generation networks. NOMA system splits power domain to many parts to further serve massive users by relaxing the orthogonal use of radioresources. In this paper, a relay is required to help the source communicate with destinations with a fixed power allocation scheme. We derive expressions to highlight ergodic performance of two users the deployment of NOMA is suitable to different rate requirements from destinations (e.g., a cellular users have different requirements compared with internet of things devices). By conducting Monte-Carlo simulations, we find main system parameters which have crucial impacts on ergodic capacity. This paper is different other recent studies since we emphasize on imperfect channel state information (CSI) and Rician fading model for our analytical results.
Model-free feature screening for ultrahigh dimensional data via a Pearson chi-square based index

For ultrahigh dimensional data, we propose a model-free marginal feature screening procedure, which can handle continuous, categorical and discrete response variables, based on the integral Pearson chi-square (IPC) index. The IPC index can be regarded as an extension of the AD index studied by He et al. [A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis. Comput Stat Data Anal. 2019;137:155–169]. When the response variable is categorical, we extend He et al.'s work to the case of allowing a diverging number of response categories. However, the IPC index is difficult to estimate when the response is continuous. Thus we modify it and define the fused IPC index using the slice-and-fuse technique. Our feature screening procedure ranking the IPC or fused IPC index is robust to heavy-tailed features and outliers. The sure screening properties and the ranking consistency properties are established for both categorical and continuous responses under mild conditions. The finite sample performance of the proposed procedure is demonstrated through various numerical simulations and two real data applications.
PERANAN HARGA CRUDE PALM OIL PADA KONVERSI HUTAN PRODUKSI DI INDONESIA

Pembukaan hutan untuk perkebunan kelapa sawit menjadi salah satu latar belakang alih fungsi hutan di Indonesia , khususnya pada hutan produksi konversi (HPK). Tingginya pembukaan hutan untuk perkebunan sawit diindikasikan memberikan dampak negatif terhadap fungsi dan kondisi hutan di Indonesia. Alih fungsi lahan hutan melalui proses pelepasan kawasan hutan untuk perkebunan sawit menjadi tujuan penelitian dengan menggunakan variabel independen yang mempengaruhi permintaan lahan untuk sawit yaitu harga CPO, tingkat suku bunga, nilai tukar, serta besarnya share industri pengolahan dalam Produk Domestik Bruto (PDB), dan Gross Domestic Product (GDP) dunia. Pelepasan kawasan hutan diestimasi menggunakan model tobit dengan left-ccensored (0) dengan menggunakan data pelepasan kawasan hutan untuk perkebunan sawit di tingkat provinsi tahun 1995 sampai tahun 2017. Hasil empiris menujukkan bahwa tingkat harga pada lag tertentu secara signifikan mempengaruhi peningkatan pelepasan kawasan hutan untuk perkebunan sawit, demikian juga dengan luas HPK, serta tingkat suku bunga internasional , pertumbuhan ekonomi dunia, dan share indutri dalam PDB secara positif dan signifikan mempengaruhi peningkatan pelepasan kawasan hutan untuk perkebunan sawit. Hasil dalam penelitian ini juga menunjukkan bahwa tingkat suku bunga dan nilai tukar tidak berpengaruh secara signifikan terhadap konversi hutan untuk perkebunan sawit di Indonesia.
A Non-diffraction Microstrip Antenna Array for Wireless Power Transfer Applications

In this paper, a wideband microstrip antenna array generating the non-diffraction beam is proposed. The whole design is based on the classical transmission line theory and the increasingly popular non-diffractive theory. The overall method is to design the patch array and the feed network with superior performances separately, and then combine them to obtain the final ideal properties. Simulation and measurement results show that the finally obtained microstrip antenna array integrates the great performances of the patch array and the feed network, which not only successfully realizes the non-diffractive focusing beam with a focusing distance of about 1.18m, but also gets a great gain of 17.02dB and a bandwidth of 13.91% (5.54-6.34GHz) with a return loss of -17.01dB at 5.8GHz. This design is different from the common non-diffractive metasurface, and it provides a more practical scheme for the application of non-diffractive theory from the practical point of view.
Biodegradable Nanogels for Dermal Applications: An Insight

Nanogels are hydrogels loaded with the active compounds encapsulated, or in matrix form with a size of nano regime, incorporated with cross-linked polymeric structures. Nanogels have a great capacity to administer drugs in the transdermal system. It can undergo stimulus-responsive nature which helps to obtain either controlled or sustained release of a drug due to the mucoadhesive nature of the nanogel. Stimuli-dependent response of nanogels shows its effectiveness towards anticancer, anti-inflammatory due to modified release triggered by alterations in pH, temperature, enzymes, light, and ionic content. Biodegradable polymer shows its effectiveness in the formulation of nanogel. Other potential benefits achieved by nanogel include increased drug loading ability, physical stability, improved patient compliance, accumulation at the target site, enhanced bioavailability, biocompatibility, and biodegradability which are the key points in designing an effective formulation. Herbal drugs can be effectively encapsulated and delivered by using nanogel as a carrier. This review insights the advance development, limitations, and therapeutic significance of nanogel formulations. It also highlights the release of drugs in response to stimuli. Various biodegradable polymers used in nanogel formulation are also discussed. This review helps understand the biomedical applications of nanogels in cancer drug delivery and its imaging, anti‐inflammatory therapy, antifungal and antimicrobial therapy, anti‐psoriatic therapy, transdermal delivery, ocular and protein/peptide drug delivery, and therapy.
Association of Magnesium and Incidence of Depression in Adults

Depression affects more than 300 million individuals worldwide. The biggest source of nonfatal illness burden is depression. Individuals suffering from mental illness may have difficulty coping with their daily lives, including family and job. Depression may be linked to a disruption in magnesium metabolism. Resources may be motivated to prevent and promote healthy lifestyle behaviours based on evidence of a good influence on depressed symptoms of depression through dietary adjustments. Magnesium is necessary for energy production, dysrhythmia prevention, blood pressure regulation, insulin resistance prevention, and bone homeostasis. Oral magnesium supplementation may help to avoid depression and could be used as a supplement to other treatments. The purpose of this research is to review the available information about the association of magnesium with the incidence of depression among adults. According to existing literature there is an inverse relation between magnesium and depression. Magnesium supplementation may potentially be beneficial in the treatment of depression. Because of its impact on NMDA receptors, changes in magnesium levels in the body may play a significant role in the development of depression. However, further research is needed to generate evidence for association of magnesium with depression.
Game Difficulty Adaptation and Experience Personalization: A Literature Review

Abstract This paper attempts to provide a detailed overview of the latest advancements in the field of game difficulty adaptation and experience personalization within the years 2005–2021 from the perspective of dynamic difficulty adjustment and procedural content generation. To this end, a systematic review process was followed in order to search in the database Scopus for relevant work within the addressed research scope. This process resulted in 109 relevant papers, which in turn were taxonomized according to the type of adaptation/personalization approach they employ in order to tailor games to each individual player. The aim of this survey is to address research concepts and problems that are related to the dynamic modeling of the players’ characteristics, the impact of adaptive games on their experience and the dissemination of the relevant research. Findings of this review revealed that the adaptive and personalized games can improve and enhance the experience of the players/students and the rehabilitation of patients through the dynamic modeling of distinct personality characteristics, e.g., personal interests and exhibited emotions.
Logarithmic trapping and detrapping in β-Ga2O3 MOSFETs: Experimental analysis and modeling

In this paper, we extensively characterize and model the threshold voltage instability in lateral β-Ga2O3 MOSFETs with Al2O3 gate dielectric. Specifically, (i) the results indicate that the threshold voltage instability originates from electron trapping at gate dielectric border traps close to the Al2O3/β-Ga2O3 interface. (ii) Logarithmic kinetics were detected for both stress and recovery by means of a innovative fast-capacitance experimental setup, over more than seven decades of time; (iii) a generalized model, which is capable of accurately reproducing the experimental results, was proposed to explain this trend.
Comprehensive Evaluation of Impacts of Connecting Distributed Generation to the Distribution Network

– In this paper, we study the various impacts of connecting distributed generation (DG) to the distribution network. The comprehensive evaluation index system (CEIS) of four hierarchies is established, considering economy, reliability and voltage quality, and the calculation methods of different indexes are presented. This paper puts forward an improved triangular fuzzy number analytic hierarchy process (ITFNAHP) to weight the second level indexes (SLI) and the third level indexes (TLI), and calculates the variation coefficient to weight the fourth level indexes (FLI). We calculate the comprehensive weight coefficients based on the weight coefficients of the SLI, TLI and FLI, and then calculate the comprehensive evaluation of satisfaction (CES) of different access schemes. On the basis of the IEEE 33-bus example system, simulations of the calculation methods and the comprehensive evaluation method are carried out under different DG access schemes according to the same total investment cost and the same permeability, respectively, and the simulation results are analyzed and discussed.
Correlation of parity and age to services per conception, conception rate, and gestation length in Holstein Friesian cross cows

Small farmers dominate dairy farming in Indonesia, and the average productivity is low. The contribution of domestic production only reaches about 23% of the total national milk consumption needs as a source of human nutrition. This study was aimed to identify the relationship between cow's parity and age to services per conception (S/C), conception rate (CR), and gestation length (GL) of Holstein Friesian (HF) cross dairy cows. Data of this study consisted of primary data obtained from farmers interview, and secondary data from the Cooperative Unit of Argopuro village, Krucil, Probolinggo. Sample size was 200 cows, which was 10% of the total population. Data were analyzed for correlation and linear regression using the Statistic Package and Service Solution (SPSS) software version 20 (IBM Corp., USA) at a 95% confidence level. The average S/C, CR, and GL were 2.55 ± 1.57, 21%, and 278.19 ± 11.92 days, respectively. There was no significant correlation (p >0.05) between the parity with S/C, CR, and GL and the age with CR and GL. The only significant correlation (p <0.05) was between the age and S/C. Regression of S/C based on age followed the equation S/C = 0.104 + 0.407*age, with a correlation coefficient and determination coefficient of 0.733 and 0.538, respectively. It could be concluded that S/C could be predicted based on the age of the cows.
TERMOBAROMETRÍA Y TERMOCRONOLOGÍA: APLICACIONES AL ESTUDIO DE LOS PÓRFIDOS DE COBRE DE LA CARIDAD Y SUAQUI VERDE

Clásicamente, se considera que los depósitos de tipo pórfidos de cobre se forman entre 2 y 4 km de profundidad. Sin embargo, en la provincia Basin and Range, algunos pórfidos de cobre como los de La Caridad y Suaqui Verde permanecieron preservados en el bloque de piso de fallas normales. Este trabajo propone un estudio comparativo de estos dos depósitos, combinando análisis de termobarometría y de termocronología para cuantificar la profundidad de emplazamiento y la historia de enfriamiento de los plutones, respectivamente. Los resultados sugieren que la profundidad de emplazamiento de los pórfidos de cobre podría ser superior a 4 km. Además, muestran que el este de Sonora no registró un aumento significativo de la tasa de exhumación durante la extensión Basin and Range, lo que puede explicar la buena preservación de los depósitos del Cretácico-Eoceno en esta región.
Corporate social responsibility and work–life balance provisions for employee quality of life in hospitality and tourism settings

PurposeThis study aims to outline the rationale for the theme issue question and introduces articles written by MBA students at Les Roches Global Hospitality Education, Switzerland. The issue provides best practice examples of corporate social responsibility in hospitality settings and explores the outcomes and implications for employee quality of life.Design/methodology/approachThis study provides a descriptive review of the theme issue approach and the ways in which industry case study examples have been integrated with a review of literature to analyse the ways in which corporate social responsibility initiatives are increasingly focusing on work–life balance and quality of life considerations.FindingsDuring their analysis and case study research, the MBA group found that the provision for quality of life outcomes has been enhanced in recent years by hospitality and tourism firms, and that since the onset of the pandemic, momentum has been building. Yet, a bigger and more complex question relates to work–life balance – a critical component of quality of life outcomes – and whether it is transferable to society as a whole.Originality/valueThe aim of this theme issue is to explore the linkages between work–life balance, corporate social responsibility and the concept of circular economic thinking and how this impacts on quality of life. The authors argue that by better understanding these relationships, it is possible to contribute to the longer-term goal of sustainability and sustainable development. In part, this is because work life provisions are not only applicable at the micro level (firms) but also at the macro level (society), the latter through enhanced focus on circular economic thinking and practice.
Dual function flexible coplanar waveguide for feeding antenna of balanced structure

A flexible coplanar waveguide (CPW) design is presented suitable for feeding planar antenna with a balanced structure. Two features are provided by the flexible design, transition from balance on the antenna side to unbalance on the receiver side; transformation of characteristic input impedance of the antenna to the value of a standard load. It is essential for the CPW to be bended to fit the purposes hence the effect of bending of CPW on the transmission performance and method to feed planar antenna are investigated. The common mode propagation due to the inserted feedline is observed and the solution to eliminate the auxiliary common-mode effect in the structure is also discussed.
PENGARUH SUPLEMENTASI Portulaca oleracea DENGAN LEVEL YANG BERBEDA TERHADAP KADAR TRIGLISERIDA DAN HDL (High Density Lippoprotein) SERUM DARAH KAMBING JAWARANDU (Capra aegagrus hircus)

This study aimed to determine the effect of supplementation of Portulaca oleracea with different levels of triglycerides and High-Density Lipoprotein (HDL) content of blood serum. This research was conducted in February-March 2021 in the village of Rejo Asri, Seputih Raman District, Central Lampung Regency, Lampung Province. Examination of white blood cells, and white blood cell differential was carried out at the Veterinary Center of Lampung Province. The experimental design used was a completely randomized design (CRD) with 4 treatments and 5 replications. The treatments were basal ration (P0), basal ration with 5% Portulaca oleracea supplementation (P1), basal ration with 10% Portulaca oleracea supplementation (P2), and basal ration with 15% Portulaca oleracea supplementation (P3). The data obtained were analyzed with analysis of variance with a significance level of 5%. The results showed that Jawarandu goats fed with purslane flour with different levels showed no significantly different results (P> 0.05) which had an average of triglyceride levels of 80.2 ± 5.26 mg/dL (P0), 79.6± 5.46 mg/dL (P1), 92±10.89 mg/dL (P2), and 81.2± 7.38 mg/dL (P3), while for HDL, those were 36.4±5.41 mg/dL (P0), 33.8±4.93 mg/dL (P1), 38.5±3.05 mg/dL (P2), and 31.3± 4.74 mg/dL (P3) which were in the normal range. Keywords: HDL, Jawarandu Goat, Portulaca oleracea, Triglycerides
The Role of Prior Probabilities on Parameter Estimation in Hydrological Models

Bayes theorem provides a formal framework for combining prior and sample information for parameter estimation in the presence of measurement and structural errors. Prior knowledge, however, may not always be available or may be too vague to incorporate into a prior distribution. In such cases, a reference prior must be chosen for an objective analysis. Typically, a uniform density over the possible ranges of parameters is chosen as the reference prior. However, the validity of a uniform prior as a reference prior is seldom questioned. In this study, an information‐theoretic approach is pursued to derive reference priors, and the results are compared to those obtained by using a uniform prior. Examples of estimating saturated hydraulic conductivity are presented. Priors over hydraulic conductivity obtained by using the information‐theoretic approach are transformation‐invariant and typically nonuniform. The choice between information‐theoretic and uniform prior influences the posterior distribution of hydraulic conductivity, when sample information is small. The use of reference prior is also demonstrated through the PDG‐GIUH hydrologic model, and issues of computational tractability are addressed.