Miracle-dz/UniFAR-FTUs huggingface dataset:
On Beamforming Gain Models for Performance Evaluation and Analysis of Narrowband and Wideband Wireless Networks

Directional antennas and beamforming techniques that bring promising transmission gain to the wireless links are widely incorporated in the system-level analysis of wireless networks. In many existing studies, the beamforming gain model to calculate the beamforming gain considers beamforming pattern and aligned as well as misaligned cases. However, the channel properties, e.g., the $K$ factor and the spatial distribution of multi-paths, are neglected, which could significantly influence the beamforming gain. In this paper, a general beamforming gain model is appropriately defined, while the traditional beamforming gain model is proved to be only a special case in the proposed general model by considering an oversimplified channel with no angular spread. In light of this, expressions of the received signal amplitude and the beamforming gain are rigorously derived for narrowband fading and wideband statistical mmWave channels, respectively. Thorough comparison between the proposed beamforming gain model and the traditional beamforming gain is provided, which demonstrates and validates that the traditional model incorrectly captures the beamforming gain and thereby, leads to inaccurate system-level network analysis. To this end, the effectiveness and importance of the proposed general beamforming gain model are revealed, particularly for millimeter-wave wideband systems.
The role of calcium in drought stress response induced through antioxidant activity in oil palm (Elaeis guineensis Jacq.) seedlings

Oil palm productivity in Indonesia faces challenges related to drought that occur during the dry season. Calcium is an element that plays a role in determining the response of plant resistance to drought through biochemical activity. This study aims to determine the contribution of calcium in biochemical mechanisms involving various antioxidants. The treatment was arranged in factorial of 3 x 4 in a split-plot design. The first factor was calcium dosage, which consisted of 0 g (control/without calcium), 0.04 g, 0.08 g, and 0.12 g of calcium per plant. The second factor was the intensity of drought stress, referred as the Fraction of Transpirable Soil Water (FTSW) at 1 (control/field capacity), 0.35 (moderate drought), and 0.15 (severe drought) with a week duration of intensity. Calcium was applied in a ring placement on four-month-old seedlings planted in 40 x 40 cm polybags with alfisol soil planting medium and given drought treatment two months later for three weeks. The results showed that calcium could induce plant response to drought through the increase in superoxide dismutase (SOD) activity, the decrease in hydrogen peroxide (H₂O₂) concentration, and the decrease in malondialdehyde (MDA) concentration. The study concluded that calcium is an essential element used to reduce the effects of drought on oil palm seedlings through the change of biochemical activities regulated by enzymatic antioxidants.
RF Exposure Assessment for Various Poses of Patient Assistant in Open MRI Environment

In this study, the radio-frequency (RF) energy exposure of patient assistants was assessed for an open magnetic resonance imaging (MRI) system based on numerical computations of the head and body RF coil. Various poses of the patient assistants were defined to see how poorly they affected the RF energy exposure. For the assessments, the peak spatial-averaged specific absorption rate (SAR) levels were carefully compared with each patient assistant pose based on the finite-difference time domain calculations of RF coil models when the patient was placed in such coils in a 0.3 Tesla open MRI system. Overall, the SAR levels of the patient assistant were much lower than those of the patient. However, significantly increased SAR levels were observed under specific conditions, including a larger loop size of the patient assistants’ arms and a closer distance to the RF coils. A comparably high level of SAR to the patient’s body was also found. More careful investigations are needed to prevent the increase of SAR in patient assistants for open MRI systems at higher field strengths.
PERHITUNGAN PREMI MURNI PADA SISTEM BONUS MALUS UNTUK FREKUENSI KLAIM BERDISTRIBUSI BINOMIAL NEGATIF DAN BESAR KLAIM BERDISTRIBUSI WEIBULL PADA DATA ASURANSI KENDARAAN BERMOTOR DI INDONESIA

System bonus malus is one of the systems offered by an insurance company where the risk premium calculation is based on the claim history of each policyholder. In study will be discussed premium calculation in system, bonus malus where the frequency of claims has a negative binomial distribution and the size of claims is Weibull distribution on motor vehicle insurance data in Indonesia. This method will producesystem an bonus malus optimal by finding the posterior distribution using Bayes analysis. As the application material used secondary data from the recording results obtained from the general insurance company PT. XYZ in 2014, data contains data on the frequency of claims and the amount ofclaims partial loss of policyholders forinsurance products for comprehensivemotor vehicle insurance category 8 regions 3.The results of the implementation show that the premiums with the system are bonus malus optimalconsidered fair enough because the premiums paid by policyholders insurance that extends the policy in the following year is proportional to the risk it faces, where the premium to be paid by each policyholder is based on past claims history. Keywords : system bonus malus, negative binomial distribution, Weibull distribution, comprehensive, partial loss.
Role of bromine doping on the photovoltaic properties and microstructures of CH3NH3PbI3 perovskite solar cells

Organic-inorganic hybrid heterojunction solar cells containing CH3NH3PbI3 perovskite compound were fabricated using mesoporous TiO2 as the electronic transporting layer and spirobifluorence as the hole-transporting layer. The purpose of the present study is to investigate role of bromine (Br) doping on the photovoltaic properties and microstructure of CH3NH3PbI3 perovskite solar cells. Photovoltaic, optical properties and microstructures of perovskite-based solar cells were investigated. The X-ray diffraction identified crystal structure of the perovskite layer doped with Br in the solar cell. Scanning electron microscopy observation showed a different behavior of surface morphology and the perovskite crystal structure on the TiO2 mesoporous structure depending on extent amount of hydrogen doping of Br. The role of bromide halogen doping on the perovskite crystal structure and photovoltaic properties was due to improvement of carrier mobility, optimization of electron structure, band gap related with the .
Emotional Intelligence, Identification, and Self-Awareness According to the Sphere Model of Consciousness

While emotion and cognition were previously considered separate concepts, current research demonstrates an interplay between them. In the current chapter, we discuss the importance of the body in relation to emotional intelligence (EI) and executive functioning. In particular, we address a specific movement meditation called Quadrato Motor Training (QMT), which has been shown to enhance emotion regulation and neurocognitive functions. We then examine the importance of emotion regulation in the context of the Sphere Model of Consciousness (SMC) and related neurocognitive studies. The SMC is a neuro-phenomenal model of consciousness based on three main axes: Emotion, Time, and Self-Determination. It presents all phenomenal experiences in a sphere-shaped matrix, aiming to account for different interactions among the axes. Through this model, the processes leading to improved EI can be framed in a general theory of consciousness and described in relation to the three axes. We discuss three key concepts in relation to the SMC: (1) EI; (2) identification, namely excessive self-involvement or feeling caught up by experience (3) self-awareness, or awareness and management of ongoing inner processes.
Structural, Electronic, Dynamical, and Superconducting Properties in Dense GeH4(H2)2

Hydrogen-rich materials have fascinating physical and chemical properties such as various structures and superconductivity under high-pressure. In this study, structural, electronic, dynamical, and superconducting properties of GeH4(H2)2 are investigated based on the first-principles calculations. We first predict several phase transitions of GeH4(H2)2 under pressure. Below 28 GPa, two degenerated structures with I4？ m2 and Pmn21 symmetries are preferred, which can be viewed as the distortion of the experimentally observed fcc structure. Then, the GeH4(H2)2, via a triclinic phase that stabilizes in the pressure range of 28？ 48 GPa, transforms into a metallic orthorhombic phase in which appears the metallization induced by pressure. Another metallic phase with P21/c symmetry enters the phase diagram at around 220 GPa, which is more stable than the case of a decomposed material, and its stability is also confirmed by including the zero point energy correction. In the high-pressure P21/c phase, the superconductivity is found, and the superconducting transition temperature is predicted to be as high as 76？ 90 K at 250 GPa. This superconductivity mainly results from the local vibrations of more H2 units, though the vibration of Ge in an H2-formed grid also contributes to the electron？ phonon interaction. This study is helpful for understanding the superconducting mechanism on hydrogen-rich compounds.
Electrocardiogram parameters in patients with hypertensive heart failure in Abakaliki,
South-Eastern Nigeria

Hypertension and Hypertensive Heart Failure (HHF) constitutes a growing burden of non-communicable forms of cardiovascular disease (CVD) in Africa. This work was designed to investigate Electrocardiogram (ECG) parameters in HHF subjects. A cross-sectional study involving 100 subjects of equal number of HHF and normal subjects were used. Questionnaires were administered; socio-demographic and medical profiles of the subjects were obtained. ECG of each of the participants was conducted and results read for P duration, PR interval, QRS duration, QTc and Sokolow-Lyon index. Among the subjects with HHF, 56% were elderly and 44% were middle-aged. 60% were farmers; 42% had no formal education. The systolic blood pressure (SBP) was 125.40±20.37 mmHg and 117.62±9 in HHF and normal subjects respectively while diastolic blood pressure (DBP) were 80.88±19.04 mmHg in HHF subjects and 71.84±6.48 mmHg in normal subjects. Heart rate on ECG was 87.66±18.31 and 70.08±8.472 bpm in HHF and normal subjects respectively. QRS duration was 0.13±0.12 and 0.07±0.017 s in the HHF and normal subjects respectively. The corrected QTc was 0.47±0.04 and 0.38±0.024 s in HHF and normal subjects respectively. The Sokolow-Lyon index was 3.81±1.73 and 2.09±0.56 s in HHF and normal subjects respectively. The mean QRS duration was 0.14±0.018 in male and 0.12±0.022 s in female HHF subjects. Sokolow-Lyon index was 3.90±1.68 and 3.56±1.80 s in the male and female HHF subjects respectively. The mean QTc was 0.44±0.036 in male and 0.49±0.036 s in female HHF subjects respectively. ECG heart rate was 92.09±21.204 bpm in the middle-aged and 84.17±15.178 bpm in the elderly HHF subjects. The corrected QT interval was 0.44±0.041 s in the middle-aged group and 0.50±0.031 s in the elderly. The study shows that most of the values of electrocardiogram parameters were higher in the HHF subjects than in the normal population. Also, there were gender and age-specific differences in electrocardiogram parameters obtained in HHF subjects. Key words: Hypertension; heart disease; electrocardiogram
Cultivation and Molecular Studies to Reveal the Microbial Communities of Groundwaters Discharge Located in Hungary

In the present study 12 water samples of five sampling sites (Tatabánya, Dandár, Szentendre, Szent Flórián and Ciprián groundwaters) known as nutrient-depleted aquatic environments were studied using amplicon sequencing (NGS) and cultivation techniques. Diversity indices and cell counts were determined to assess the species richness in relation to the cell counts within the samples, and the oligocarbophile growth capability of the isolated bacteria was tested in microtiter plates. Altogether, 55 bacterial phyla were identified from the samples by amplicon sequencing. The microbial communities of the different sampling times of the same sites did not differ significantly. Patescibacteria and Proteobacteria were present in all samples. Ciprián sample was dominated by Bacteroidetes, while in Dandár sample a high ratio of Chloroflexi was detected. Rokubacteria and WOR-1 dominated Szent Flórián sample and Tatabánya had a high number of Epsilonbacteraeota. Nine archaeal phyla were also detected; the samples were characterized by the presence of unclassified archaea and Nanoarchaeota, among them Woesearchaeia, as the most dominant. Crenarchaeota and Altiarchaeota were detected in high ratios in Dandár water samples. Among Thaumarchaeota the family Nitrosopumilaceae, and orders of Nitrosotaleales and Nitrososphaerales appeared in Szent Flórián and Tatabánya samples. Key organisms of the different biogeochemical cycles were discovered in these nutrient-depleted environments: methanogenic archaea, methanotrophic bacteria, ammonia oxidizer, nitrate reducers, diazotrophs, sulfate reducers, and sulfur oxidizer. Diversity indices and cell counts of the samples show negative correlation in case of bacteria and positive in case of archaea in Ciprián sample. The high diversity indices in Szentendre samples are connected to low cell counts, most probably due to the vulnerability of the groundwaters to the external environment factors which lead to the infiltration of soil microbes and contaminants to the water. The isolated bacteria were affiliated into four phyla, most of them belonging to Proteobacteria (59%) followed by Actinobacteria (21%), Firmicutes (17%) and Verrucomicrobia (1%). The members of the facultative chemolithotrophic genera of Sphingobium, Sphingomonas, Sphingopyxis were characterizing only Szentendre, Szent Flórián and Tatabánya samples. Only 10% of the isolated species showed an obligate oligocarbophile character. From the samples, a high number of novel bacterial taxa were cultivated. As a conclusion, our results confirmed the predominance of unclassified and unknown taxa in subsurface water, pointing to the importance and necessity of further studies to characterize these microbial populations.
Machine Learning Approach Equipped with Neighbourhood Component Analysis for DDoS Attack Detection in Software-Defined Networking

The Software-Defined Network (SDN) is a new network paradigm that promises more dynamic and efficiently manageable network architecture for new-generation networks. With its programmable central controller approach, network operators can easily manage and control the whole network. However, at the same time, due to its centralized structure, it is the target of many attack vectors. Distributed Denial of Service (DDoS) attacks are the most effective attack vector to the SDN. The purpose of this study is to classify the SDN traffic as normal or attack traffic using machine learning algorithms equipped with Neighbourhood Component Analysis (NCA). We handle a public “DDoS attack SDN Dataset” including a total of 23 features. The dataset consists of Transmission Control Protocol (TCP), User Datagram Protocol (UDP), and Internet Control Message Protocol (ICMP) normal and attack traffics. The dataset, including more than 100 thousand recordings, has statistical features such as byte_count, duration_sec, packet rate, and packet per flow, except for features that define source and target machines. We use the NCA algorithm to reveal the most relevant features by feature selection and perform an effective classification. After preprocessing and feature selection stages, the obtained dataset was classified by k-Nearest Neighbor (kNN), Decision Tree (DT), Artificial Neural Network (ANN), and Support Vector Machine (SVM) algorithms. The experimental results show that DT has a better accuracy rate than the other algorithms with 100% classification achievement.
Embalagem secundária do tipo display de OSB de resíduo de madeira-balsa (Ochroma pyramidale)

Contemporary society is becoming increasingly dependent on packaging to store products and food. The so-called secondary are produced most often with cardboard or wood. Thus, the differential of this study is the use of forest waste as a raw material to produce secondary packaging. The aim of this research was to evaluate the potential use of OSB panels of Balsa wood [Ochroma pyramidale (Cav. Ex Lam.) Urb. , Malvaceae] for the production of secondary display type packaging. In this study, the physical and mechanical properties of medium density OSB panels (650 kg.m-3) produced with 13% polyurethane resin based on castor oil were analyzed in order to verify the potential of this material for use in the manufacture of packaging; a model of secondary packaging of the display type was proposed and also, a study of sensory analysis was carried out in order to identify the acceptance of this product by the users. Results obtained demonstrated the viability of structuring the secondary display type packaging for food products with OSB panels of residual Balsa wood, due to the verification of the suitability of the physical and mechanical properties of this material for use as a constituent of secondary packaging. Sensory analysis indicated acceptance of the new product by users of secondary display packaging for food.
Large scale preparation of pure Hydroxysafflor Yellow A by macroporus resin-gel column chromatography

Objective:Preparing Hydroxysafflor Yellow A(HSYA) by macroporus resin-gel column chromatography.Method:Aqueous extract was prepared from Carthamus tinctorius L.Crude HSYA was prepared by macroporus resin chromatography and purified HSYA was further prepared by Sephadex LH-20 column chromatography.The purity was analyzed by HPLC.The inhibition of HSYA on rabbit platelet aggregation induced by ADP was observed.Result:From aqueous extract HSYA was prepared through macroporus resin-gel column chromatographic procedure and its purity was 95.3%. This ingredient was active to inhibit platelet aggregation induced by ADP.Conclusion:HSYA preparation by macroporus resin-gel chromatography is a simple and effective technology.
Parameter identification of pulsed eddy current testing equivalent circuit model and its application to defect evaluation

The equivalent circuit model of pulsed eddy current testing (PECT) has simple mathematics but its applications are limited to qualitative analysis such as principle illustration and signal interpretation. In this paper, the parameters of equivalent circuit model are estimated using system identification method and quantitative relationships are found between some of the parameters and the size of the defect. The equivalent circuit equations were solved from the perspective of system analysis to yield the system transfer function. An m-sequence of 10 order was selected to excite the system and the probe current was used as the output. A set of experiment input-output data for system identification were obtained by performing experiments on two aluminium alloy 6061 slabs, one of which was machined with five slots of different widths, and the other one was machined with five depth-varied slots. The equivalent circuit parameters were finally estimated based on the identified transfer function parameters. It is found that the values of resistance and self-inductance of the secondary windings decrease greatly and monotonically with the increase of the slot width or depth. The self-inductance is more sensitive to the slot size variation than the resistance. Both of them have the potential to serve as the signal feature for defect evaluation in PECT applications.
Infection Control Education Programs for Nursing Students: A Systematic Review

Purpose: The purpose of this study was to use a systematic review to investigate how infection control education has been designed, implemented and evaluated in undergraduate programs in nursing. Methods: This study was conducted base on the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA). To search studies related to infection control education programs, Ovid-EMBASE, CINAHL, Pubmed, KoreaMed, KMBASE and KISS were used. A total of 2,306 studies were identified, and 13 studies were selected for final analysis. Results: Ten studies out of 13 were designed as pre-post, no control group, quasi-experimental study designs. Nosocomial infection and standard precautions related infection control education were the most frequently selected topics and online was the most common teaching-learning method. The infection control education programs showed significant effect on knowledge and attitude. The mean difference of 7 studies for knowledge was 5.1 (95% CI: 2.36, 8.67, p<.001) and the mean difference of 4 studies for attitude was 3.34 (95% CI: 0.12, 6.55, p<.001). Conclusion: The results of this study indicate that infection control education effectively improves the knowledge, attitude and compliance of nursing students. Therefore, it is necessary to develop more specific educational programs that can reflect the changes of the times and the demands of clinical nurses.
Digital Transformation of Industrial Organizations: Toward an Integrated Framework

ABSTRACT Industrial organizations are responding to new risks and opportunities originating from exponentially growing and disruptive digital technologies, by taking company-wide digital transformation initiatives. However, the key enablers of such digital transformation initiatives that facilitate operational performance outcomes in industrial organizations demand further investigation. Therefore, drawing on the sociotechnical system theory (STS), the objective of this study is to explore the digital transformation enablers and their impact on performance outcomes. Research data was collected from four leading industrial organizations that engaged in digital transformation programmes. Our results indicate that leadership, structures, and culture are the key enablers of digital transformation that help industrial organizations to achieve performance outcomes (i.e. collaboration, customer-centricity, and agility). By providing an empirically grounded integrated framework with future research propositions, this study contributes to the existing literature on digital transformation and sociotechnical system theory. MAD statement This article aims to make a difference by exploring industrial digital transformation in order to identify the key enablers and performance outcomes. We highlight the need for alignment and joint optimization of social and technical systems to effectively capitalize on the digital transformation initiatives. Moreover, we call for urgent attention to the development of leaders, as well as the further identification of supportive digital transformation leadership competencies. Competent leaders assume a central role in correcting outdated and invalid assumptions, conceptualizing new ideas, and reinforcing cultural values. Furthermore, we elaborate the necessity of cultural transformation in industrial organizations for impactful digital transformation. Lastly, our findings confirm the significance of organizational structure in digital transformation and simultaneously warn that too little is happening.