Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS DAMPAK LALU LINTAS KAWASAN JALAN NASIONAL PROVINSI BALI

Abstract Bali Province is a province in Indonesia with fast economic growth. The impact of this economic growth is the accelerated development of activity centers and trip generation in this province. The trip generation can affect the performance of existing roads. Therefore, an analysis of the traffic impact due to additional trip generation needs to be carried out, to minimize the negative impact of the additional trip generation on existing roads, especially on national roads. This study is carried out on several national roads that have been prioritized to be handled, so that handling proposals can be made, and an estimate of the performance improvement of these road sections due to the proposed measures can be determined. After handling several national roads, this study shows that the biggest increase in performance occurred on Jalan Raya Denpasar-Tuban. However, there are also road sections that have not experienced a significant increase in performance, which means that the proposed treatment for these road sections needs to be supported by additional road capacity, to improve the performance of these road sections. Keywords: traffic impact analysis; trip generation; national roads; road segment performance. Abstrak Provinsi Bali merupakan suatu provinsi di Indonesia dengan pertumbuhan ekonomi yang pesat. Dampak pertumbuhan ekonomi tersebut adalah terjadinya percepatan pembangunan pusat-pusat kegiatan dan bangkitan perjalanan di provinsi ini. Bangkitan perjalanan tersebut dapat memengaruhi kinerja ruas jalan yang ada. Karena itu, analisis dampak lalu lintas akibat tambahan bangkitan perjalanan perlu dilakukan, untuk meminimalkan dampak negatif akibat tambahan bangkitan perjalanan pada jalan-jalan yang ada, khususnya pada jalan-jalan nasional. Studi ini dilakukan terhadap beberapa ruas jalan nasional yang mendapat prioritas untuk ditangani, sehingga dapat dibuat usulan penanganannya, serta dapat diperkirakan peningkatan kinerja ruas-ruas jalan tersebut akibat penanganan yang diusulkan. Setelah dilakukan penanganan terhadap beberapa ruas jalan nasional, studi ini menunjukkan bahwa peningkatan kinerja terbesar terjadi pada ruas Jalan Raya Denpasar-Tuban. Walaupun demikian, terdapat pula ruas-ruas jalan yang tidak mengalami peningkatan kinerja yang sig-nifikan, yang berarti bahwa usulan penanganan untuk ruas-ruas jalan ini perlu didukung dengan penambahan kapasitas jalan, untuk meningkatkan kinerja ruas-ruas jalan tersebut. Kata-kata kunci: analisis dampak lalu lintas; bangkitan perjalanan; jalan nasional; kinerja ruas jalan.
Balanced Feed Low Cross-Polarization Quad-Ridged Horn Antenna With Center Cross Fusiform Loaded

This communication presents a novel quad-ridged horn (QRH) antenna incorporating a balanced feed. A cross-shaped fusiform structure is mounted in the center of the QRH. The fusiform structure has the effect of suppressing the cross-polarization component by improving the conventional QRH $TE_{11}$ mode. The communication presents an equivalent circuit that has been derived for the proposed balanced feed network. Four SMA probes are symmetrically distributed around the horn wall and the inner conductors of the two probes facing each other are connected. The cross-polar level, within a 30° solid angle, is less than −23 dB from 2 to 6 GHz. The measured isolation between two orthogonal linearly polarized ports is higher than 42 dB and the return loss is lower than −15 dB over the entire working frequency band.
Classification of Interbeat Interval Time-Series Using Attention Entropy

Classification of interbeat interval time-series which fluctuates in an irregular and complex manner is very challenging. Typically, entropy methods are employed to quantify the complexity of the time-series for classifying. Traditional entropy methods focus on the frequency distribution of all the observations in a time-series. This requires a relatively long time-series with at least a couple of thousands of data points, which limits their usages in practical applications. The methods are also sensitive to the parameter settings. In this paper, we propose a conceptually new approach called attention entropy, which pays attention only to the key observations. Instead of counting the frequency of all observations, it analyzes the frequency distribution of the intervals between the key observations in a time-series. Attention entropy does not need any parameter to tune, it is robust to the time-series length, and requires only linear time to compute. Experiments show that it outperforms fourteen state-of-the-art entropy methods evaluated by real-world datasets. It achieves average classification accuracy of AUC = 0.71 while the second-best method, multiscale entropy, achieves AUC = 0.62 when classifying four groups of people with a time-series length of 100.
Acceptance of contraception among post-partum women in North India

Background: Family planning is one of the fundamental pillars of safe motherhood and reproductive right. Short inter pregnancy interval increase the risk of infant and maternal mortality & morbidity. So postpartum family planning is considered as a lifesaving intervention Methods: The present study was conducted at the Community Health Centre of Tehsil Basholi, District Kathua, UT of J&K. Inclusion criteria was Post-partum women within 6-12 weeks of delivery seeking contraceptive advice. All the women were interviewed regarding their knowledge and acceptance of postpartum contraception. Results: 102 post-partum women were followed up. Out of 102 post-partum women only 8 women (7.8%) attended the contraceptive clinic. Majority-(92.2%) did not attended the contraceptive clinic. 100% of the post-partum women who attended the contraception clinic found that contraceptive counselling was effective. 4 out of 8 used Copper T and 3 women used Injectable Depo Provera as a contraceptive methods. Out of the 94 women who did not attend the contraceptive clinic, 66 post-partum women i.e. 70.3% had not accepted any method of contraception whereas 28 women (29.7%) used effective contraception at their homes. Conclusion: Counselling only once during antenatal care has not proven sufficient for increasing postpartum contraceptive use. So there is a need to increase the awareness amongst the patients by repeated sessions of contraceptive counselling and by implementing family welfare programmes focusing more on post-partum contraception as at this time the female is more receptive to the contraceptive methods.
Design and development of an ‘early prediction machine’ for Colorectal Cancer from pathological images through quantum image processing technique – a theranostic approach

The Cancer has been reported as a major terminal disease of the world and the number of deaths due to various types of cancer is increasing day by day. More than 30% of the death due to cancer is due to colorectal cancer (CRC) resulted by mutations in the WNT signalling pathway. In most of the cases, early detection of the disease and proper treatment may help in resulting complete cure. Improvements in modern technology with deep neural networks and artificial learning along with image processing enables diagnosis and detection of cancer cells in the early stages. In the present work, the possibility of using ‗quantum processing technique or 'Qubit computing' has been explored to classify malignant and benign cells. The dataset used is pathological images of colorectal cancer processed using a 2- bit qu antum circuit. The processing has been carried out using 'IBM Quantum computing (IBM - Q)'. Even with a small dataset and with 4- qubit platform, more than 50% accuracy has been observed. Higher percentage of accuracy may be obtained by optimizing the number of qubits and by using bigdata.
Attention-Based Multiscale Residual Adaptation Network for Cross-Scene Classification

In recent years, classification has obtained ever-rising attention and has been applied to many areas in the field of remote sensing, including land use, forest monitoring, urban planning, and vegetation management. Due to the lack of labeled data and the poor generalization ability of supervised models, cross-scene classification is proposed for better utilization of the existing knowledge. Existing adaptation methods for cross-scene classification only consider the marginal distribution, while the conditional distribution is equally important in real applications. In addition, approaches based on deep learning align the distribution of features extracted from a single-scale structure, leading to the loss of information. To overcome the above drawbacks, an Attention-based Multiscale Residual Adaptation Network (AMRAN) is proposed for cross-scene classification tasks. In the proposed AMRAN, both the marginal and conditional distributions are taken into consideration for more comprehensive alignment. Besides, the attention mechanism and the multiscale strategy are used to extract more robust features and more complete information, respectively. Experimental results between four existing scene classification data sets demonstrate that AMRAN has a significant improvement compared with the state-of-the-art deep adaptation methods.
Ozonation of Textile Reactive Red 198 Dye in a CSTR

Abstract The decolouration effect of ozone on the reactive dye Reactive Red 198 in a CSTR was the subject of a series of experiments. The results showed that ozonation is capable of reducing the colour remaining in the water after using reactive dyes rapidly and effectively of around 15 minutes. The effect of the frit was analysed to check that it was not a factor limiting oxidation. The effect of flow rate and of the initial concentration of dye on the dye concentration as a function of time and at steady state were measured, and the rate of decolouration was calculated under both steady and unsteady state conditions. The flow rate was adjusted for various initial dye concentrations as well as at various flow rates of dye solutions. The apparent first order rate constant is about 0.10 min-1. Though first-order kinetics in dye concentration fitted the individual sets of results, the rate constants were significantly different from those expected, suggesting that any model that aims to predict the results in general would need to be more complex, and probably include modelling the effective ozone concentration.
An optimized knight traversal technique to detect multiple faults and Module Sequence Graph based reconfiguration of microfluidic biochip

Mukta Majumder, Department of Computer Science and Application, University of North Bengal, Siliguri – 734013, West Bengal, India. Email: mukta_jgec_it_4@yahoo.co.in Abstract Conventional biomedical analysers are replaced by digital microfluidic biochips and they are adequate to integrate different biomedical functions, essential for diverse bioassay operations. From the last decade, microfluidic biochips are getting plenty of acceptances in the field of miscellaneous healthcare sectors like DNA analysis, drug discovery and clinical diagnosis. These devices are also bearing a vital role in the area of safety critical applications such as food safety testing, air quality monitoring etc. As these devices are used in safety critical applications, clinical diagnosis and real‐time biomolecular assay operations, these must have properties like precision, reliability and robustness. To accept it for discriminating purposes, the microfluidic device must endorse its preciseness and strength by following sublime testing strategy. Here, an optimized droplet traversal technique is proposed to investigate the multiple defective electrodes of a digital microfluidic biochip by embedding boundary cum row traversal and KNIGHT traversal procedure (based on the famous Knight Tour Problem). The proposed approach also enumerates the traversal time for a fault‐free biochip. In addition to identifying the faulty electrodes, a Module Sequencing Graph based reconfiguration technique is proposed here to reinstate the device for normal bioassay operation.
Application of different Lagrangian Particle Tracking techniques for water impingement

Water impingement on aerodynamic surfaces represents how much flow rate water mass impact on the surfaces, respect to total mass flow rate. This parameter, together with Liquid Water Content, is important in ice prediction since it defines water mass distribution on solid surface, by which depends several other problems like freezing fraction, anti-icing system, etc. In this work we focus on the lagrangian method to calculate droplets’ trajectory, comparing the results against 2D and 3D experimental data.
Comparison of loose silk and tightenable polypropylene seton placement in treatment of complex anal fistula

Aim: Treatment of complex anal fistula is a challenging task due to the risk of recurrence and development of incontinence and there is no consensus over how to treat this condition. We aimed to compare the results in our patients whom we have applied loose silk or tightenable polypropylene seton. Materials and Methods: Demographic characteristics, duration of hospital stay, duration of operation, duration between two operations in patients requiring second operation, time to healing, recurrence, pain assessment by using Visual Analogue Scale (VAS) during follow-up exams and gas and/or stool incontinence of patients with complex anal fistula diagnosis who were treated by loose silk or tightenable polypropylene seton between March 2017 and March 2019 in our clinic were examined. Results: In this study, 81 (86.2%) male and 13 (13.8%) female patients with a total of 94 were included. In 58 (61.7%) of these patients polypropylene and in 36 (38.3%) silk seton was used. The mean age of the patients was 42.5±12.1 years. Mean follow-up was 17.2±6.5 months. Recovery time in polypropylene group (9.9±1.3 weeks) was shorter than silk seton group (12.7±2.7 weeks) (p<0.001). Pain VAS average was higher in polypropylene group (6.3±0.9) compared to silk seton group (5.1±0.7) (p<0.001). There was no significant difference between two groups for recurrence and incontinence. Conclusion: For the treatment of complex anal fistula, placement of tightenable polypropylene compared to loose silk seton has advantages such as shorter healing time and less need for second operation but it causes more pain during follow-up exams.
Investigating elevational gradients of species richness in a Mediterranean plant hotspot using a published flora

The Apuan Alps are one of the most peculiar mountain chain in the Mediterranean, being very close to the coastline and reaching an elevation of almost 2000 m. Based on published flora, we investigated the distribution of plant species richness along the whole elevational gradient of this chain considering: (i) all species, (ii) endemic versus alien species; and (iii) functional groups of species based on Raunkiaer life forms (RLF). Generalized Linear Models (GLMs) were used to analyse richness patterns along the elevational gradient, and elevational richness models versus the area of the elevational belts were fitted to test the effect of surface area. Our results showed decreasing species richness with increasing elevation. In contrast, endemic species richness increased along the elevational gradient. Alien species were mainly distributed at low elevations, but this result should be taken with caution since we used historical data. Species life forms were not equally distributed along the elevation gradient: chamaephytes and hemicryptophytes were the richest groups at high elevations, while therophytes showed highest species richness at low elevations. Our findings suggest that in the Apuan Alps there is a major elevational gradient in species composition that could reflect plant evolutionary history. Furthermore, we highlight the key role of published floras as a relevant source of biodiversity data.
Study on Biocompatibility of Chitosan/Hydroxyapatite Doped Silicon Composite as Material for Alveolar Socket Preservation

As the Alveolar Socket Preservation (ASP) was developed as a procedure for placement of bone graft on sockets where the tooth was removed, a new composite of Chitosan/Hydroxyapatite doped Silicon (Chi/HAp-Si) was synthesized. Si will be added to HAp in amount 7 wt% by a solid-state method. As a comparison, the HAp-Si later will be mixed with chitosan with variations of 0, 5, 10, and 15 wt%, with the aim of enhancing antibacterial ability against S. aureus bacteria. The synthesized samples were characterized using XRD and SEM. Antibacterial activities of the Chi/HAp-Si composite were evaluated against S. aureus bacteria. The addition of chitosan did not have much effect on the biocompatibility of HAp-Si, especially in S. aureus bacteria. However, the addition of chitosan to the 10 wt% composition has the highest antibacterial properties.
A cross-sectional analysis from the Mykinso Cohort Study: establishing reference ranges for Japanese gut microbial indices

The purpose of this study was to establish reference ranges for gut microbial indices by collecting real-world Japanese microbiome data from a Mykinso cohort. Although several large cohort studies have focused on the human gut microbiome, large cohort studies of the gut microbiome from Japanese populations are scarce, especially from healthy or non-diseased individuals. We collected stool samples and original survey lifestyle information from 5,843 Japanese individuals through the Mykinso gut microbiome testing service. From the obtained 16S rRNA sequence data derived from stool samples, the ratio and distribution of each taxon were analyzed. The relationship between different epidemiological attributes and gut microbial indicators were statistically analyzed. The qualitative and quantitative indicators of these common gut microbiota were confirmed to be strongly correlated with age, sex, constipation/diarrhea, and history of lifestyle-related diseases. Therefore, we set up a healthy sub-cohort that controlled for these attribute factors and defined reference ranges from the distribution of gut microbial index in that population. Taken together, these results show that the gut microbiota of Japanese people had high beta-diversity, with no single “typical” gut microbiota type. We believe that the reference ranges for the gut microbial indices obtained in this study can be new reference values for determining the balance and health of the gut microbiota of an individual. In the future, it is necessary to clarify the clinical validity of these reference values by comparing them with a clinical disease cohort.
A Novel Discretization Method for Multiple Second-Order Generalized Integrators

Multiple second-order generalized integrators (MSOGI) has been widely used to extract the signal that contains multiple harmonics. The MSOGI needs to be implemented in the discrete-time domain for its practical applications. More critically, the discretization method can greatly affect its performance. The existing discretization methods for MSOGI can be divided into three categories: entire transfer-function discretization, SOGI-transfer-function discretization, and integrator discretization. The theoretical analysis indicates that the first method can avoid the errors caused by unit delay, but it is hard to be digitally realized for high-order transfer functions. The other two methods have nonnegligible errors in both the phase and the quadrature characteristic due to the unit delay. In this letter, we propose a novel discretization method by modifying the structure of integrator discretization. This method can enhance the performance in both the phase and the quadrature characteristic with an acceptable computation burden, which has been theoretically analyzed and experimentally verified.
Cognitive dialogue as a factor of enhancing the quality of education in the conditions of international cooperation in the sphere of higher education

The relevance of the article is caused due to the need to define the role of a cognitive paradigm for enhancing the quality of higher education in the conditions of international cooperation contributing to the development of the subjects’ of educational process possessing the human-forming, semantic priorities. The purpose of article is to reveal the human-forming individual reserves and mechanisms of cognitive dialogue between the teacher and the students on the basis of social-cognitive approach as the theoretical-methodological strategy determining and developing humanistic semantic formations and personality’s value transformations. The article reveals the principles of social-cognitive approach: human-conformity and harmonious proportionality, and the rules for their realization; cognitive instruments of democratization and humanization of education are described on the basis of cognitive dialogue between the teacher and the students as an informative exchange of rational and emotional information. The author defines the importance of emotional intelligence as a link between development of humanistic meanings, value understanding, understanding and regulation of the subjects’ of education cognition and emotions in cognitive dialogue affecting success of their socio-cultural interaction. The developmental stages of dialogical self-knowledge in the course of cognitive dialogue are defined in the integral unity of logical and emotional, and value coordinates based on the material of art works. The article is intended for University-teachers and researchers in the field of international cooperation in the sphere of education.
Self-efficacy for physical activity of people over 65

Professionals and researchers studying the care received by people over 65 stand by the benefits of physical activity to improve the quality of live. However, their analyses and field work show very low involvement rates of this group in physical activity programmes, a high reluctance to participate and, when done, this behaviour is hardly maintained over time. It is well known that self-efficacy is relevant to carry out an action, but there is no evidence suggesting that the same is true for physical activity. This study aims to find out if self-efficacy improves the attitude of the elderly towards physical activity; to define self-efficacy as a construct; to design and validate a self-efficacy scale regarding physical activity for people over 65; to analyse the response of a representative sample of over 65s from Valencia to this construct; and to find out if gender and age affect self-efficacy in relation to physical activity.
Distributed Multiuser MIMO for LiFi in Industrial Wireless Applications

We present a concept for networked optical wireless communications, also denoted as LiFi, to meet the requirements of industrial wireless applications. These are primarily mobility support with moderate data rates per device, reliable real-time communication, and integrated positioning. We describe a distributed multiuser multiple-input multiple-output architecture, serving mobile devices via an optical wireless infrastructure. The system consists of a central unit, being connected to a number of distributed optical frontends covering a larger area. Our main contribution is a medium access control protocol based on space division multiple access. Evaluation results demonstrate the advantages of joint transmission from adjacent optical frontends and the dynamic switching between spatial diversity and multiplexing. The relevance of spatial multiplexing becomes obvious through channel measurements in an indoor scenario. Moreover, we highlight a low-power physical layer based on on-off-keying for battery-powered mobile devices. Our architecture can easily integrate positioning by simultaneously measuring the time-of-flight between multiple optical frontends and the mobile device. We highlight the use of plastic optical fiber as an analog fronthaul technology and discuss the integration with other networks. The main functions described in this paper will be supported by the upcoming IEEE Std 802.15. 13.