Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the Effect of Antenna Beamwidth on Received Power in Large Indoor Environments Based on Millimeter-Wave Channel Measurements

When a narrow-beamwidth antenna is employed, all the multipath components from arbitrary directions may not be received due to the spatial filtering of the antenna. In this paper, we study the effect of antenna beamwidth on received power, based on millimeter-wave narrow-beamwidth directional antenna measurements. Unlike our prior work on outdoor environments, this paper focuses on large indoor environments, such as passenger terminals of a railway and an airport, which are potential hot-spot candidates for 5G millimeter-wave systems.
Concentrações de ozônio troposférico na Região Metropolitana de São Paulo e a implementação de parques urbanos: observações e modelagem

A poluicao do ar nas grandes metropoles constitui um desafio complexo e importante, e a construcao de parques urbanos impacta positivamente a qualidade de vida nestes ambientes. Na Regiao Metropolitana de Sao Paulo, a emissao de poluentes por veiculos, influenciada pelo uso do solo, interage com a atmosfera, resultando em significativas variacoes espaciais e temporais das suas concentracoes na escala intraurbana. Altas concentracoes de ozonio, formado a partir de reacoes entre a emissao de poluentes precursores e a radiacao solar, sao recorrentes. Buscou-se compreender como a construcao de um parque poderia afetar a poluicao do ar em escala local. Dados da estacao Terminal Parque D. Pedro II (PQDP) – urbana veicular e da estacao Ibirapuera – background urbano – da CETESB foram utilizados para construcao de ciclos diurnos no periodo 1996-2011. A inclusao de um parque urbano na RMSP foi considerada com o uso do modelo atmosferico WRF/Chem para o periodo 28/01-02/02/2014. Os resultados indicam maiores concentracoes de ozonio na estacao Ibirapuera. Na estacao PQDP, observa-se maiores concentracoes de poluentes associados a veiculos. Observa-se diminuicao significativa dos poluentes veiculares na localidade a 50 metros das principais avenidas (PQDP2) em relacao a localidade a 5 metros (PQDP1), porem, com aumento de 14 µgm-3 na concentracao maxima de ozonio. As simulacoes no modelo WRF/Chem indicam diminuicao dos poluentes veiculares e aumento de 12 µgm-3 na concentracao media de ozonio na area do Parque Oratorio em relacao a simulacao controle, demonstrando a interacao entre emissao de poluentes, radiacao solar e brisa maritima. Conclui-se que o aumento de ozonio pode ocorrer em situacoes onde parques substituam areas caracterizadas por poluicao veicular, o que deve ser considerado cuidadosamente pelas autoridades locais de saude e planejamento urbano.
Analysis of Factors Affecting the Admission of E-Filing Systems in Jakarta

This study examines the relation between several factors, such as perception of usefulness, ease of use, the readiness of supporting facilities, the influence of security and confidentiality, and user ability, against the interest of individual taxpayer using e-Filing in Jakarta. The research data was in the form of primary data obtained from online questionnaire. The sample used was individual taxpayers who use e-filing and domiciled in Jakarta. The number of individuals in this study was 238 individual taxpayers. Data analysis technique used was multivariate regression test by using SPSS program. The results of the research show that all variables affect the taxpayer interest in the use of e-Filing in Jakarta. While the most influencing factor was the ease of use.
A 2.5-GHz Optical Receiver Front-end in a 0.13 μm CMOS Process for Biosensor Application

This paper presents a low-noise and low-power transimpedance amplifier (TIA,) intended for use as an analog frontend for a very low biomedical signal detection. Different topologies are reviewed, and then the most appropriate structures are characterized. A common gate transimpedance amplifier has been designed in 0.13 µm CMOS process. Experimental results obtained show that the TIA connected to a Geiger mode photodiode with a total capacitance of 2 pF performed a bandwidth of 2.47 GHz with transimpedance gain of 53.8 and input referred current noise of 28.1 pA/(Hz)1/2 by using regulated cascade topology. The core circuit of the poposed analog front-end receiver occupies a chip area of 900 µm2 with power dissipation of 1.8 mW. These encouraging results have exhibited the potential of the circuit for use in the CMOS photon detector for biomedical sensing application.
Stability and Stabilization of Boolean Networks With Stochastic Delays

In this paper, stability and stabilization of Boolean networks with stochastic delays are studied via semi-tensor product of matrices. The stochastic delays, randomly attaining finite values, are modeled by Markov chains. By utilizing an augmented method, the considered Boolean network is first converted into two coupled Markovian switching systems without delays. Then, some stochastic stability results are obtained based on stability results of positive systems. Subsequently, the stabilization of Boolean networks with stochastic delays is further investigated, and an equivalent condition for the existence of feedback controllers is provided in terms of a convex programming problem, which can be easily solved and also conveniently applied to design controller gains. Finally, numerical examples are given to illustrate feasibility of the obtained results.
Comparative Analysis of DSOGI-PLL& Adaptive Frequency Loop-PLL for Voltage and Frequency control of PMSG-BESS based Hybrid Standalone WECS

3-phase PLL (phase-locked-loop) are the key elements for frequency & phase estimation of a balanced/disturbance voltage of the power system subjected to disturbances. Accurate measurement of generator speed in wind energy conversion system (WECS) is the most crucial task and it is worsening in disturbed voltage states. A dual-second-order-generalized-integrator (DSOGI)-PLL based control for load side bidirectional voltage source converter (VSC) is discussed in this paper for standalone hybrid variable speed WECS comprising of permanent magnet synchronous generator (PMSG) and & battery energy storage system (BESS). DSOGI-PLL based control scheme is presented here for voltage and frequency control. A MATLAB/Simulink-model is prepared for the system under study and a detailed simulation is performed. The effectiveness of the controller under study is checked by comparing it with Adaptive frequency loop-PLL based controller for different working conditions; like variable wind velocity, load variation, load disturbances, and faults. It is concluded from the simulation study that DSOGI-PLL gives comparative better performance during transient like: fault and unbalanced/disturbed voltage conditions. DSOGI-PLL removes the harmonics and disturbances from the signal (dq-axis component generation) as compared to Adaptive frequency loop-PLL. Proposed controller provides excellent control for VSC. BESS is able to perform load balancing during variations in wind-velocity and load.
An Investigation of Physiological Correlates of Neuroticism During Speaking Task: A Preliminary Study

Neuroticism is correlated with negative emotion such as anxiety, fear, depressed mood and loneliness which could be measured using physiological signals such as skin conductance, heart rate, and respiration rates. In this paper, we aim to investigate the correlation between neuroticism and physiological changes during speaking tasks. Eight healthy male subjects were selected including four subjects with high level of neuroticism (neurotic) and four emotionally stable subjects evaluated by Eysenck Personality Inventory (EPI) and Big Five Inventory (BFI) tools. The physiological responses were recorded during baseline measurements (eyes closed and eyes open) and during speaking tasks by using the FlexComp Infiniti encoder with Biograph Infiniti software by Thought Technology Ltd. The results showed that the skin conductance and the heart rate of neurotic subjects were higher than that of the stable subjects during baseline measurements and speaking tasks. In comparison to the baseline, lower respiration rate was exhibited in both stable and neurotic subjects during speaking tasks. However, the neurotic subjects exhibited slight increase in their respiration rates compared to the stable subjects. This paper provides preliminary evidence for physiological responses associated with neuroticism that can shed some light in social interaction studies, stress reduction studies based on mindfulness or emotion regulation to name a few.
Atomistic analysis of localisation and band mixing effects in Gel-ϰC,Sn)ϰ group-IV alloys

We present a theoretical analysis of the electronic structure of the group-IV alloys $\text{Ge}_{1-x}(\mathrm{C},\text{Sn})_{x}$. Our analysis is based on a semi-empirical tight-binding model, parametrised via hybrid density functional theory calculations. Using atomistic alloy supercell calculations we identify and quantify the respective roles played by C-related localised impurity states and Sn-induced band mixing in determining the nature of the indirect- to direct-gap transition in $\text{Ge}_{1}{}_{-x}\mathrm{C}_{x}$ and $\text{Ge}_{1-x}\text{Sn}_{x}$. For exemplar calculations on 64-atom $\text{Ge}_{63}(\mathrm{C},\text{Sn})_{1}(x=1.56\%)$ supercells we derive and parametrise model Hamiltonians which provide quantitative and physically transparent descriptions of these localisation and band mixing mechanisms, and comment on the implications of the $\text{Ge}_{1-x}(\mathrm{C}_{2}\text{Sn})_{x}$ alloy band structure for technologically relevant material properties.
Assessment of Cognitive Load using Multimedia Learning and Resting States with Deep Learning Perspective

Classification of resting and cognitive states has its importance in brain neuroscience for understating the underlying behaviors of cognition. The human brain is considered as a complex system having different mental states such as resting, active or cognitive states. It is a well-understood fact that the brain activity increases with the increased demand of cognition. The deep learning algorithm based on Pre-trained convolutional neural network (CNN) networks have been used as a transfer learning for the classification of rest and cognitive states and also assessed the cognitive load using brain waves particularly alpha wave. EEG data were collected from 34 human participants at resting and during a learning state. The important EEG electrodes were selected based on the effective connectivity method and after preprocessing, EEG data has been segmented into equal number of segments using selected electrodes to investigate the deep temporal information for cognitive load assessment. The brain waves were extracted using discrete wavelet transform (DWT) for each segment and fed these segments to proposed model for classification and assessment of cognitive load. The results shows that alpha brain wave produced consistent behavior using for all cognition tasks based on pre-trained CNN models for classification and cognitive load assessment.
Parameter Estimation Based on Scale-Dependent Algebraic Expressions and Scale-Space Fitting

We present our results of applying wavelet theory to the classic problem of estimating the unknown parameters of a model function subject to noise. The model function studied in this context is a generalization of the second-order Gaussian derivative of which the Gaussian function is a special case. For all five model parameters (amplitude, width, location, baseline, undershoot-size), scale-dependent algebraic expressions are derived. Based on this analytical framework, our first method estimates all parameters by substituting into a given expression numerically obtained values, such as the zero-crossings of the multiscale decompositions of the noisy input signal, using Gaussian derivative wavelets. Our second method takes these estimates as starting values for iterative least-squares optimization to fit our algebraic zero-crossing model to observed numeric zero-crossings in scale-space. For evaluation, we apply our method together with three reference methods to the three-parameter Gaussian model function. The results show that our method is on average 3.7 times more accurate than the respective best reference method for signal-to-noise ratios (SNR) from $-{\text{10}}$ to 70 dB, using a synthetic test scenario proposed by a competitor. For our full five-parameter model, we investigate overall estimation error as well as per-parameter error and per-parameter uncertainty as a function of SNR and various noise models, including correlated noise. To demonstrate practical effectiveness and relevance, we apply our method to the well-studied problem of QRS complex delineation in electrocardiography signals. Out-of-the-box results show a performance comparable to the best algorithms known to date, without relying on problem-specific heuristic decision rules.
Multimodal Human Activity Recognition From Wearable Inertial Sensors Using Machine Learning

This research addresses the problem of human activity recognition using wearable sensors. Due to its diverse applications, such as health monitoring, it has been attracting a considerable research attention. In order to benefit from machine learning, as an efficient tool for pattern discovery, in enhancing the recognition accuracy, the literature has witnessed the construction of several datasets with varying number of sensors and activities, among other variations. One of the state-of-the-art (SOTA) datasets and the most comprehensive to date is the publicly-available Human Gait Database (HuGaDB). We adopt diverse machine learning techniques for human activity recognition based on a comprehensive dataset HuGaDB, for which we show that particular classifiers, sensor positions and placements yield higher recognition accuracies. In particular, we study six classifiers with fourteen features for twelve different activities measured using two wearable senors. Random Forest (RF) is shown to consistently outperform other classifiers. We also present further investigations for combining multimodal data and for varying the parameters of the RF classifier in order to further improve the accuracy. A recognition accuracy of 98.6% was attained. This research is reproducible, and attains SOTA results on a novel and comprehensive dataset.
Football and Its Indirect Effects On the Stability Test for Collegiate Students

Sports is already proven to give a lot of benefits to the human body. The finest explanation about its benefits is still in research. To invoke the awareness, sometimes it needs a little more research to come out with statistical numbers required to convince the sedentary people to engage in sports. Comparisons were made in this study between football players and the sedentary participants in the unipedal stand test (UPST) using force plate-form. The test was conducted in two conditions, opened eyes and closed eyes for both dominant and non-dominant legs. Comparisons were made between the time of UPST, distance travel of center of pressure (CoP) and velocity of CoP during the test. From the results of the distance travelled, the football players showed significant differences in the result with closed eyes condition, which showed that football players are less dependent on visual stimuli and have better standing ability. Other benefits should be explored in order to give more information to people to increase the awareness of an active lifestyle.
Transient Behavior of Common Grounding Grids to Artificially Triggered Lightning

Electrical potential and distributed current of a specifically arranged remote common grounding grid subjected to triggered lightning currents were measured and analyzed. Although the measured waveforms of potential and distributed current were different, the peak of this potential displayed a linear relationship with the injected lightning currents. In the M-component process, waveforms of the measured potential and distributed current were similar to the injected current, but the common grounding grid potential may increase to as high as more than 5 kV. In the return-stroke process, the grounding potential had an average peak of 40 kV and a wider half-peak width compared to the injected current, which frequently damaged the surge protective devices connected to the grounding grids. The distributed current was found to be at an average low level of several kiloamperes in both processes. The ratio of distributed current to the injected current is proportional to the injected current. Moreover, the attenuation in amplitudes of distributed current is faster compared to the energy dissipation; the latter was primarily due to the widened half-peak width. It, thus, indicates the equal risks of both high peak and long duration of the surge currents in terms of the lightning protection.
DAYA TOLAK EKSTRAK TANAMAN ROSEMARY (Rosmarinus officinalis) TERHADAP LALAT (Musca domestica)

Penelitian daya tolak ekstrak tanaman rosemary ( Rosmarinus officinalis ) terhadap la-lat Musca domestica telah dilakukan pada tahun 2006 di Balai Penelitian Tanaman Obat dan Aromatik (Balittro) serta di IPB. Pembuat-an minyak atsiri (penyulingan) dan sediaan perlakuan yang akan diuji dilakukan di Balit-tro, sedangkan pengujiannya dilakukan di La-boratorium Parasitologi dan Entomologi Ke-sehatan, Departemen Ilmu Penyakit Hewan dan Kesmavet Kedokteran Hewan, IPB. Penelitian dirancang dalam acak lengkap, 5 perlakuan berupa konsentrasi rosemary (20%; 10%; 5%; 2,5% dan 0%) dan 5 ulangan dengan meng-gunakan alat dan metode standar. Hasil pene-litian menunjukkan bahwa minyak atsiri rose-mary bersifat sebagai pengusir ( repellent ) lalat dan juga dapat mengakibatkan lalat jatuh ( knock down ) yang diamati pada menit ke 30 dan 60 setelah aplikasi. Pengaruh rosemary pada konsentrasi 2,5% hingga 20% terhadap lalat adalah terusir dan jatuh dengan kisaran efektifitasnya antara 12,7% hingga 42,6%.
Induction of Plasmodium-Specific Immune Responses Using Liposome-Based Vaccines

In the development of vaccines, the ability to initiate both innate and subsequent adaptive immune responses need to be considered. Live attenuated vaccines achieve this naturally, while inactivated and sub-unit vaccines generally require additional help provided through delivery systems and/or adjuvants. Liposomes present an attractive adjuvant/delivery system for antigens. Here, we review the key aspects of immunity against Plasmodium parasites, liposome design considerations and their current application in the development of a malaria vaccine.
Examining the Relationship Between Leaders' Power Use, Followers' Motivational Outlooks, and Followers' Work Intentions

From the foundation of self-determination theory and existing literature on forms of power, we empirically explored relationships between followers' perceptions of their leader's use of various forms of power, followers' self-reported motivational outlooks, and followers' favorable work intentions. Using survey data collected from two studies of working professionals, we apply path analysis and hierarchical multiple regression to analyze variance among constructs of interest. We found that followers' perceptions of hard power use by their leaders (i.e., reward, coercive, and legitimate power) was often related to higher levels of sub-optimal motivation in followers (i.e., amotivation, external regulation, and introjected regulation). However, followers who perceived their leaders used soft power (i.e., expert, referent, and informational power) often experienced higher levels of optimal motivation (i.e., identified regulation and intrinsic motivation), but further investigation of soft power use is warranted. The quality of followers' motivational outlooks was also related to intentions to perform favorably for their organizations.
ROLE of IGF-1 System in the Modulation of Longevity: Controversies and New Insights From a Centenarians' Perspective

Human aging is currently defined as a physiological decline of biological functions in the body with a continual adaptation to internal and external damaging. The endocrine system plays a major role in orchestrating cellular interactions, metabolism, growth, and aging. Several in vivo studies from worms to mice showed that downregulated activity of the GH/IGF-1/insulin pathway could be beneficial for the extension of human life span, whereas results are contradictory in humans. In the present review, we discuss the potential role of the IGF-1 system in modulation of longevity, hypothesizing that the endocrine and metabolic adaptation observed in centenarians and in mammals during caloric restriction may be a physiological strategy for extending lifespan through a slower cell growing/metabolism, a better physiologic reserve capacity, a shift of cellular metabolism from cell proliferation to repair activities and a decrease in accumulation of senescent cells. Therefore, understanding of the link between IGF-1/insulin system and longevity may have future clinical applications in promoting healthy aging and in Rehabilitation Medicine.
Melatonin Improved Waterlogging Tolerance in Alfalfa (Medicago sativa) by Reprogramming Polyamine and Ethylene Metabolism

Melatonin (MT), polyamines (PAs), and ethylene have been suggested to play key roles in plant growth and development in response to environmental abiotic stresses. However, the effect of melatonin on polyamine and ethylene metabolism under waterlogging stress has rarely been elucidated. The main purpose of this study was to investigate the effect of melatonin pretreatment on waterlogging stress in alfalfa. The experiment was arranged into four treatment groups control with water pretreatment (CK-MT), control with melatonin pretreatment (CK+MT), waterlogging pretreated with water (WL-MT) and waterlogging pretreated with melatonin (WL+MT), with three replications. Six-week-old alfalfa seedlings were pretreated with 100 μM melatonin and exposed to waterlogging stress for 10 days. Plant growth rate, different physiological characteristics, and gene expression level were measured. Results showed that waterlogging induced melatonin accumulation, and melatonin pretreatment increased endogenous MT levels for the control and water-logged plants. Waterlogging stress caused a significant reduction in plant growth, chlorophyll content, photochemical efficiency (Fv/Fm) and net photosynthetic rate (Pn), while also causing increased leaf electrolyte leakage (EL) and malondialdehyde (MDA) content. Pretreatment with melatonin alleviated the waterlogging-induced damage and reduction in plant growth, chlorophyll content, Fv/Fm and Pn. Waterlogging stress significantly increased leaf polyamines (Put, Spd, Spm) and ethylene levels, and the increased PAs and ethylene levels are coupled with higher metabolic enzymes and gene expressions. While pretreatment with melatonin further increased Put, Spd and Spm levels, it also decreased ethylene levels under waterlogging, and those increased PAs levels or decreased ethylene levels are regulated by the metabolic enzymes and gene expressions. The results in this study provide more comprehensive insight into the physiological and molecular mechanisms of melatonin-improved waterlogging tolerance in alfalfa. Furthermore, they suggested that melatonin improved waterlogging tolerance in alfalfa at least partially by reprogramming ethylene and PA biosynthesis, attributable to the increased PAs and decreased ethylene levels, which leads to more enhanced membrane stability and photosynthesis as well as less leaf senescence caused by ethylene.
A Review of the Main Methods to trace the I-V Characteristic Curve of PV Sources

This paper presents the main methods that are used to obtain the characteristic curves of photovoltaic sources. Given the importance of the I-V curve, the general characteristics of an equipment used for these goal are described. A review of the studies and developments is presented, grouped according to the type of variable load used. Finally, it is shown a comparative analysis among the presented methods. The objective is to highlight the advantages and limitations for the most used variable loads under different situations.