bluuebunny/crossref_metadata_2025 huggingface dataset:
Landscape Ecological Risk Assessment and Planning Enlightenment of Songhua River Basin Based on Multi-Source Heterogeneous Data Fusion
Authors: Zhao Ying , Tao Zhe , Wang Mengnan , Chen Yuanhua , Wu Rui , Guo Liang
Published: December 2022

In this study, the remote sensing images of the 30 km buffer zone from Zhaoyuan to Baidu of the Songhua River, which is rich in land use types and frequent in human activities, were selected as the research object to analyze land use change and driving factors. The objective of this research is to evaluate the ecological risk of watershed landscapes and provide a basis for watershed ecological environment protection and planning. On this basis, the landscape pattern index data were extracted, and a three-dimensional comprehensive index system of the natural, social and landscape pattern was constructed. In addition, based on the spatial principal component analysis (SPCA), data fusion was carried out to improve the accuracy and comprehensiveness of landscape ecological risk assessment results. The risk level of watershed landscape ecology was divided into low ecological risk, medium-low ecological risk, medium ecological risk, medium-high ecological risk, and high ecological risk by the Natural Breaks method. According to the results of the landscape ecological risk assessment and the characteristics of risk sources in each risk level area, the ecological protection and planning enlightenment suitable for each risk level area were obtained. The research content can provide ideas and evidence for environmental managers to formulate ecological risk protection strategies and reduce the impact of ecological risk threats.
Application of Soil Moisture Data Assimilation in Flood Forecasting of Xun River in Hanjiang River Basin
Authors: Bai Jueying , Mu Ran , Yan Baowei , Guo Jing
Published: December 2022

Accurate projection of floods is of great significance to safeguard economic and social development as well as people’s life and property. The development of hydrological models can improve the level of flood projection, however, the numerous uncertainties in the models limit the projection accuracy. By adding observations to correct the operation of prediction models, the accuracy can be improved to some extent. In this paper, taking the Xun River, of the Hanjiang River Basin in China, as the research object, combined with the soil moisture satellite data obtained by the soil moisture active and passive satellite (SMAP), the ensemble Kalman filter (EnKF) algorithm was used to assimilate the upper soil water content (WU) of the Xinanjiang model. In addition, based on the simultaneous assimilation of state variables and parameters, two improved assimilation schemes were proposed here, namely, the augmented ensemble Kalman filter (AEnKF) scheme and the dual ensemble Kalman filter (DEnKF) scheme. The results showed that compared with the WU assimilation scheme, the simultaneous assimilation of parameters and WU improved the prediction ability of the Xinanjiang model to a greater extent. The two improved schemes had similar effects on flood prediction accuracy, and improved the overall Nash–Sutcliffe efficiency coefficient (NSE) from 0.725 for non-assimilated, and 0.758 for assimilated WU, to 0.781. Among them, AEnKF and DEnKF schemes, respectively, improved the NSE by 10.1% and 11% at maximum. This study demonstrated that the application of data assimilation for the Xun River effectively improved the flood forecast accuracy of the Xinanjiang model, which will provide a reference basis and technical support for future flood prevention and mitigation and flood projection in this basin.
Mechanism and Control of Grout Propagation in Horizontal Holes in Fractured Rock
Authors: Liu Zhaoxing , Dong Shuning , Wang Hao , Shang Hongbo
Published: December 2022

It is important to control grout propagation and ensure the engineering effectiveness of the advanced regional grouting process in the Middle Ordovician limestone (MOL) aquifer. In our study, we found that the physical and mechanical properties of cement grout are affected mainly by the water–cement ratio, followed by water glass content and finally by hydro-chemical type. In a horizontal grouting hole inclined single fracture, the grout spread over time depended on the water–cement ratio, grouting pressure, width of fracture and angle between fracture and grouting hole and the rate of spread increased over time. However, when the grout propagation length was hundreds of meters or more, the length in the fracture above the grouting hole was greater than that in the fracture below. The sensitivity sequence of influencing factors of grout propagation length in an inclined fracture of a horizontal grouting hole was as follows, from large to small: width of fracture, fracture angle, water–cement ratio, grouting pressure.
Investigation on Pressure Fluctuation of the Impellers of a Double-Entry Two-Stage Double Suction Centrifugal Pump
Authors: Yan Hongyeyu , Heng Yaguang , Zheng Yuan , Tao Ran , Ye Changliang
Published: December 2022

Double-entry two-stage double-suction centrifugal pumps with high flow rates and high heads are used in some large water supply applications. The pressure fluctuation of the impeller is a key factor influencing the vibration in centrifugal pumps. In this paper, the pump is simulated and verified by experiments, and the pressure fluctuation distribution of two stage impellers is obtained. The study on the time domain and frequency domain of the two-stage impellers demonstrates that the pressure fluctuation of the first-stage single-suction impeller is affected by the twin volute. At 1.0 Q, the dominant frequency on the blade suction side and pressure side is twice the rotation frequency. The main frequency of pressure fluctuations at the outlet side of the blade at a low flow rate is higher than that at the design flow rate. Pressure fluctuations in the second-stage impeller are influenced by the inter-stage passage. The dominant frequency amplitudes grow incrementally along the streamlined direction. In the second-stage double-suction impeller, the dominant frequency amplitude at 0.6 Q is approximately twice that of 1.0 Q. Research in this paper can guide the design and operation of a two-stage pump.
Design of Obstacle Avoidance for Autonomous Vehicle Using Deep Q-Network and CARLA Simulator
Authors: Terapaptommakol Wasinee , Phaoharuhansa Danai , Koowattanasuchat Pramote , Rajruangrabin Jartuwat
Published: December 2022

In this paper, we propose a deep Q-network (DQN) method to develop an autonomous vehicle control system to achieve trajectory design and collision avoidance with regard to obstacles on the road in a virtual environment. The intention of this work is to simulate a case scenario and train the DQN algorithm in a virtual environment before testing it in a real scenario in order to ensure safety while reducing costs. The CARLA simulator is used to emulate the motion of the autonomous vehicle in a virtual environment, including an obstacle vehicle parked on the road while the autonomous vehicle drives on the road. The target position, real-time position, velocity, and LiDAR point cloud information are taken as inputs, while action settings such as acceleration, braking, and steering are taken as outputs. The actions are sent to the torque control in the transmission system of the vehicle. A reward function is created using continuous equations designed, especially for this case, in order to imitate human driving behaviors. The results demonstrate that the proposed method can be used to navigate to the destination without collision with the obstacle, through the use of braking and dodging methods. Furthermore, according to the trend of DQN behavior, a better result can be obtained with an increased number of training episodes. This method is a non-global path planning method successfully implemented on a virtual environment platform, which is an advantage of this method over other autonomous vehicle designs, allowing for simulation testing and application with further experiments in future work.
Lawyer: from student to a professional
Authors:   Department of Criminal Law and Special Disciplines, Moscow University for the Humanities, Grigorieva Natalya Vladimirovna , Kachiuri Yuliya Andreevna ,   Faculty of Law, Moscow University for the Humanities
Published: December 2022

The article analyzes personal qualities that a modern law student who intends to become a lawyer and build a successful career should develop in order to meet the challenges of the time and remain a sought-after professional.
The state and prospects of Russian-Israeli relations
Authors:   FGBOU “Diplomatic Academy of the Ministry of Foreign Aff airs of Russia”, Moscow, Ivanov S. E. , Aleshkina Y. A. ,   FGBOU “Diplomatic Academy of the Ministry of Foreign Aff airs of Russia”, Moscow
Published: December 2022

Relations between our country and Israel have generally developed in a positive way throughout the modern history of Russia: both parties got used to take into consideration each other's positions, observe so-called “red lines” and the interests of the partner. Today, against the background of the events in the Ukraine and the anti-Russian campaign launched by the West, to which the Israeli leaders have partly joined, the Russian-Israeli relations have entered a period of crisis, which threatens the future of multi-format bilateral cooperation. Several factors aff ect the state of the Russian-Israeli relations: the Iranian nuclear program and the situation in Syria, the Middle East settlement, as well as issues of Russian property in Israel, above all the status of the Alexander Compound. Washington's desire to draw Israel into the confrontation with Russia by all means including the problems that have arisen due to the events in the Ukraine, has become a catalyst for the process of degradation of bilateral relations. This situation can be reversed if Israel shows greater political fl exibility and will in resisting the pressure by American administration, which is interested in undermining the established ties between Tel Aviv and Moscow, and trust between the leaders of the countries. The Israeli establishment should make a revision of the current policy towards Russia, work out in advance all the consequences of the deterioration of bilateral relations, as it will cause a negative effect for the whole Middle East considering the weight of Russia in the region as also in a global dimension. If maintained, the current course of the Israeli authorities will inevitably lead to a complication of the internal political situation in Israel itself in view of almost 2 million of so-called "Russian Israelis" referred to immigrants from our country and other former Soviet republics, who appreciate the decisive role of the USSR and the Red Army in the Victory over Nazism as well as the common memory of the Holocaust tragedy.
Comparing GPs’ antibiotic prescribing decisions to a clinical prediction rule: an online vignette study
Authors: Nurek Martine , Hay Alastair D , Kostopoulou Olga
Published: December 2022

Background

The ‘STARWAVe’ clinical prediction rule (CPR) uses seven factors to guide risk assessment and antibiotic prescribing in children with cough (Short illness duration, Temperature, Age, Recession, Wheeze, Asthma, Vomiting).

Aim

To assess the influence of STARWAVe factors on GPs’ unaided risk assessments and prescribing decisions.

Design and setting

Clinical vignettes administered to 188 UK GPs online.

Method

GPs were randomly assigned to view 32 (out of a possible 64) vignettes online depicting children with cough. The vignettes comprised the seven STARWAVe factors, which were varied systematically. For each vignette, GPs assessed risk of deterioration in one of two ways (sliding-scale versus risk-category selection) and indicated whether they would prescribe antibiotics. Finally, GPs saw an additional vignette, suggesting that the parent was concerned. Mixed-effects regressions were used to measure the influence of STARWAVe factors, risk-elicitation method, and parental concern on GPs’ assessments and decisions.

Results

Six STARWAVe risk factors correctly increased GPs’ risk assessments (bssliding-scale≥0.66, odds ratios [ORs]category-selection≥1.75,Ps≤0.001), whereas one incorrectly reduced them (short illness duration:bsliding-scale−0.30, ORcategory-selection0.80,P≤0.039). Conversely, one STARWAVe factor increased prescribing odds (temperature: OR 5.22,P<0.001), whereas the rest either reduced them (short illness duration, age, and recession: ORs≤0.70,Ps<0.001) or had no significant impact (wheeze, asthma, and vomiting:Ps≥0.065). Parental concern increased risk assessments (bsliding-scale1.29, ORcategory-selection2.82,P≤0.003) but not prescribing odds (P= 0.378).

Conclusion

GPs use some, but not all, STARWAVe factors when making unaided risk assessments and prescribing decisions. Such discrepancies must be considered when introducing CPRs to clinical practice.
Prognostic factors for persistent fatigue after COVID-19: a prospective matched cohort study in primary care
Authors: König Benthe H , van Jaarsveld Cornelia HM , Bischoff Erik WMA , Schers Henk J , Lucassen Peter LBJ , Olde Hartman Tim C
Published: December 2022

Background

Persistent fatigue after COVID-19 is common; however, the exact incidence and prognostic factors differ between studies. Evidence suggests that age, female sex, high body mass index, and comorbidities are risk factors for long COVID.

Aim

To investigate the prevalence of persistent fatigue after COVID-19 in patients with a mild infection (managed in primary care) during the first wave of the pandemic and to determine prognostic factors for persistent fatigue.

Design and setting

This was a prospective cohort study in Dutch general practice, combining online questionnaires with data from electronic health records.

Method

Patients who contacted their GP between March and May 2020 and were diagnosed with COVID-19 during the first wave of the pandemic were included. Patients were matched to controls without COVID-19 based on age, sex, and GP practice. Fatigue was measured at 3, 6, and 15 months, using the Checklist of Individual Strength.

Results

All the participants were GP attendees and included 179 with suspected COVID-19, but who had mild COVID and who had not been admitted to hospital with COVID, and 122 without suspected COVID-19. Persistent fatigue was present in 35% (49/142) of the suspected COVID-19 group and 13% (14/109) of the non-COVID-19 group (odds ratio 3.65; 95% confidence interval = 1.82 to 7.32). Prognostic factors for persistent fatigue included low education level, absence of a partner, high neuroticism (using the Eysenck Personality Questionnaire Revised-Short Form), low resilience, high frequency of GP contact, medication use, and threatening experiences in the past. The latter three factors appeared to be prognostic factors for persistent fatigue specifically after COVID-19 infection.

Conclusion

GP patients with COVID-19 (who were not admitted to hospital with COVID) have a fourfold higher chance of developing persistent fatigue than GP patients who had not had COVID-19. This risk is even higher in psychosocially vulnerable patients who had COVID-19.
La modelación matemática como estrategia didáctica para la resolución de problemas matemáticos
Authors: Mejía Alemán Luis Vicente , Gallo Águila Carlos Ignacio , Quintana Sánchez Diana Judith
Published: December 2022

La modelación matemática permite representar, operar e informar sobre objetos del mundo real con métodos y programas matemáticos. El propósito de esta investigación es conocer el nivel de desarrollo de la capacidad para resolver problemas matemáticos de precálculo y cálculo en los estudiantes de la Facultad de Arquitectura y Urbanismo (FAU) de la Universidad Nacional de Piura (UNP). La metodología que se propuso fue de enfoque cuantitativo, fue de tipo longitudinal y del nivel explicativo y se empleó un diseño experimental de carácter pre- experimental. Posterior al estudio hubo un incremento significativo en el desarrollo de la capacidad para resolver problemas matemáticos de precálculo y cálculo de los estudiantes y que no existen diferencias significativas entre las dimensiones de esta capacidad. Se llegó a la conclusión que la Modelación Matemática como estrategia didáctica ha sido eficaz y que es un aporte valioso al campo de la tecnología educativa en el área o asignatura de Matemática.
Um decálogo para a inserção da oralidade na formação docente
Authors: Guedes Magalhães Tânia , Bueno Luzia , Storto Letícia Jovelina , Costa-Maciel Débora Amorim Gomes da
Published: December 2022

Neste trabalho, apresentamos uma sistematização de concepções e práticas para a ampliação da presença da oralidade e de gêneros orais na formação docente, com vistas a reverter a escassez de seu ensino na escola básica. Para isso, retomamos conceitos já consolidados e pesquisas anteriores realizadas pelas autoras em suas trajetórias, referentes a documentos oficiais, práticas educativas, materiais didáticos e formação docente. Os aportes teóricos estão articulados à perspectiva histórico-cultural, ao interacionismo sociodiscursivo, à didática para o trabalho com os gêneros orais da escola genebrina, à análise da conversação e à linguística textual. Descrevemos duas ações especificamente quanto à formação docente para o trabalho com os gêneros orais na educação básica, que se referem: 1) à criação de um “Repositório de trabalho sobre oralidade e ensino”; e 2) à sua transformação no Laboratório Brasileiro de Oralidade, Formação e Ensino (LABOR). Em seguida, traçamos um decálogo para a ampliação da presença da oralidade e dos gêneros orais na formação docente, com vistas a criar contribuições precisas para que os cursos de Licenciatura, sobretudo Pedagogia e Letras, implementem ações envolvendo o eixo da oralidade em seus currículos.
Automated Classification of Whole-Body SPECT Bone Scan Images with VGG-Based Deep Networks
Authors: Lin Qiang , Man Zhengxing , Cao Yongchun , Wang Haijun
Published: December 2022

Single Photon Emission Computed Tomography (SPECT) imaging has the potential to acquire information about areas of concerns in a non-invasive manner. Until now, however, deep learning based classification of SPECT images is still not studied yet. To examine the ability of convolutional neural networks on classifying whole-body SPECT bone scan images, in this work, we propose three different two-class classifiers based on the classical Visual Geometry Group (VGG) model. The proposed classifiers are able to automatically identify that whether or not a SPECT image include lesions via classifying this image into categories. Specifically, a pre-processing method is proposed to convert each SPECT file into an image via balancing difference of the detected uptake between SPECT files, normalizing elements of each file into an interval, and splitting an image into batches. Second, different strategies were introduced into the classical VGG 16 model to develop classifiers by minimizing the number of parameters as many as possible. Lastly, a group of clinical whole-body SPECT bone scan files were utilized to evaluate the developed classifiers. Experiment results show that our classifiers are workable for automated classification of SPECT images, obtaining the best values of 0.838, 0.929, 0.966, 0.908 and 0.875 for accuracy, precision, recall, F-1 score and AUC value, respectively.
On Satellite Imagery of Land Cover Classification for Agricultural Development
Authors: Alzahrani Ali , Bhuiyan Al-Amin
Published: December 2022

Distribution of chronological land cover modifications has attained a vibrant concern in contemporary sustainability research. Information delivered by satellite remote sensing imagery plays momentous role in enumerating and discovering the expected land cover for vegetation. Fuzzy clustering has been found successful in implementing a significant number of optimization problems associated with machine learning due to its fractional membership degrees in several neighbouring constellations. This research establishes a framework on land cover classification for agricultural development. The approach is focused on object-oriented classification and is organized with a Fuzzy c-means clustering over segmentation on CIE L*a*b* colour scheme which provides analysis of vegetation coverage and enhances land planning for sustainable developments. This research investigates the land cover variations of the eastern province of Saudi Arabia throughout an elongated span of period from 1984 to 2018 to recognize the possible roles of the land cover alterations on farming. The Landsat satellite imagery and Geographical Information System (GIS), in tandem with Google Earth chronological imagery are employed for land use variation analysis. Experimental results exhibit a reasonable spread in the cultivated zones and reveal that this Colour Segmented Fuzzy Clustering (CSFC) strategy achieves better than the relevant counterpart approaches considering classification accuracy.
Heart Disease Classification for Early Diagnosis based on Adaptive Hoeffding Tree Algorithm in IoMT Data
Authors: Elbasi Ersin , Zreikat Aymen I.
Published: December 2022

Heart disease is a rapidly increasing disease that causes death worldwide. Therefore, scientists around the globe start studying this issue from a different perspective to assure early prediction of diagnosis to save patients' life from bad consequences that cause death. In this regard, Internet of Medical Things (IoMT) applications and algorithms should be utilized effectively to overcome this problem. Hoeffding Tree Algorithm (HTA) is a standard decision tree algorithm to handle large sizes of data sets. In this paper, an Adaptive Hoeffding Tree (AHT) algorithm is suggested to carry out classifications of data sets for early diagnosis of heart disease-related factors, and the obtained results by this algorithm are compared with other suggested Machine Learning (ML) algorithms in the literature. Therefore, a total of 3000 records of data sets are used in the classification, 33% of the data are utilized for female patient information, and the rest of the data are utilized for male patient information. In the original data set, each patient record includes 76 attributes, however only the most important 16 patient attributes are used for the classification. Data are retrieved from the University of California Irvine (UCI) Machine Learning Repository, which is collected from the Hungarian Institute of Cardiology, University Hospital at Zurich, University Hospital at Basel, and V.A. Medical Center. The obtained results from this study and the provided comparative results show the effectiveness of the AHT algorithm over other ML algorithms. Compared to other ML algorithms, AHT outperforms other algorithms with 95.67% accuracy for early estimation of diagnosis of heart disease.
Meninas e meninos nas aulas de Educação Física e na escola nas décadas de 1960 e 1970 em Rio Azul-PR: O que poderia um corpo?
Authors: Princival Junior Nelson , Kronbauer Gláucia Andreza
Published: December 2022

Este estudo é parte dos resultados oriundos de uma dissertação de mestrado realizada no Programa de Pós-Graduação em Educação (PPGE) da Universidade Estadual do Centro-Oeste (UNICENTRO), de Irati-PR e tem como objetivo analisar as relações sociais estabelecidas sobre os corpos masculinos e femininos no contexto escolar, principalmente na Educação Física durante as décadas de 1960 e 1970 numa escola de Rio Azul-PR. Para isso, foram organizados dois grupos focais com mulheres ex-alunas que estudaram em Rio Azul-PR neste período. Foi constatado como as questões que envolviam corpo e gênero estavam presentes nas instituições escolares, a partir dos tipos de atividades desenvolvidas nas aulas de Educação Física e sobre as vestimentas utilizadas pelas alunas durante esta disciplina. Também foi verificado que a literatura acadêmica brasileira preza pelas aulas em conjunto entre meninos e meninas, mas que necessitam contar com apoio do professor para que não reproduzam possíveis conflitos entre os gêneros já existentes.
The Epigravettian of Kůlna Cave?
Authors: Nerudová Zdeňka , Moník Martin
Published: December 2022

Several archaeological artefacts from Kůlna Cave (Blansko disctrict, Czech Republic) date its settlement to the last 250 thousand years. The stratigraphy both inside the cave and at the entrance was complicated, so that macroscopically similar sediments may have comprised of Magdalenian, Gravettian, and Micoquian industries. The first radiocarbon dates surprisingly showed one Epigravettian date, obtained from an animal bone from layer 5, supposedly belonging to the Magdalenian. Also, a further series of dates from strictly controlled contexts (i.e., those definitely correlated with a single layer) showed interstratification of finds between layers. The question of whether there was indeed an Epigravettian settlement phase of the cave was tested with the analysis of butts of debitage, and preserved cores from layers 5 and 6, to specify the used knapping technology. It became clear that the used technology was uniform throughout Magdalenian layers 5 and 6, but spatial analysis of hearths and heated artefacts indicate these were likely to have been disturbed and may also include older material.
TRUST DAN SELF-DISCLOSURE PADA REMAJA PENGGUNA INSTAGRAM
Authors: Siregar Ghinaa A. N. , Andriani Inge
Published: December 2022

Media sosial Instagram mendorong para remaja untuk mengeksplor kehidupan pribadi penggunanya. Self-disclosure yang tinggi pada remaja pengguna Instagram, membutuhkan trust yang besar pada Instagram tersebut untuk menjaga keamanan dan kenyamanan dalam bersosial media. Penelitian ini bertujuan untuk mengetahui hubungan antara trust dan self-disclosure pada remaja pengguna Instagram. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dengan teknik purposive sampling. Sampel pada penelitian ini adalah remaja yang telah menggunakan Instagram selama minimal 1 tahun dan berusia 14-22 tahun dengan jumlah sampel 97 orang. Alat ukur dalam penelitian ini menggunakan skala trust dan skala self-disclosure. Nilai koefisien korelasi sebesar 0.193 dan nilai signifikansi sebesar 0.029 (p < .05). Hal ini menunjukan bahwa adanya hubungan positif antara trust dan self-disclosure pada remaja pengguna Instagram yang berati semakin tinggi trust maka semakin tinggi pula self-disclosure.
Structural design of BaSi2 solar cells with a-SiC electron-selective transport layers
Authors: Du Rui , Aonuki Sho , Hasebe Hayato , Kido Kazuki , Takenaka Haruki , Toko Kaoru , Mesuda Masami , Suemasu Takashi
Published: December 2022

Sputter-deposited polycrystalline BaSi2 films capped with a 5 nm thick a-SiC layer showed high photoresponsivity. This means that the a-SiC layer functions as a capping layer to prevent surface oxidation of BaSi2. Based on the measured absorption edge, the electron affinity of the a-SiC layer, and the work function of the TiN layer, the a-SiC is considered to act as an electron transport layer (ETL) for the BaSi2 light absorber layer/a-SiC interlayer/TiN contact structure in a BaSi2 solar cell. Using a 10 nm thick p+-BaSi2 layer as a hole transport layer, we investigated the effect of the BaSi2/a-SiC layered structure on the device performance of a BaSi2-pn homojunction solar cell by a one-dimensional device simulator (AFORS-HET v2.5). The a-SiC ETL effectively separates photogenerated carriers and allows transport of electrons while blocking holes to achieve an efficiency of 22% for a 500 nm thick BaSi2 light absorber layer.
Comparison of GLCM and First Order Feature Extraction Methods for Classification of Mammogram Images
Authors: Elfira Ega , Priharti Wahmisari , Rahmawati Dien
Published: December 2022

Breast cancer is one of the main causes of death in women and ranks first in cancer cases in Indonesia. Therefore, an early detection and prevention of breast cancer is necessary, one of which is through mammography procedures. A machine learning classifier such as Support Vector Machines (SVM) could be used as an aid to the doctors and radiologist in diagnosing breast cancer from the mammogram images. The aim of this paper is to compare two feature extraction methods used in SVM, namely the Gray Level Co-Occurrence Matrix (GLCM) and first order with two kernels for each method, namely Gaussian and Polynomial. Classification using SVM method is carried out by testing several parameters such as the value of C, gamma, degree and varying the pixel spacing values ​​in GLCM, which usually in previous studies only used the default pixel spacing. The dataset consists of 500 mammogram images containing 250 benign and malignant images, respectively. This study is expected to find out the best method with the highest accuracy between these two texture feature extractions and and able to distinguish between benign and malignant classes correctly. The result achieved that Gray Level Co-Occurrence Matrix (GLCM) feature extraction method with both Gaussian and Polynomial kernel yields the best performance with an accuracy of 89%.
Implementation of Gyro Accelerometer Sensor for Measuring Respiration Rate Based on Inhale and Exhale Using Kalman Filter
Authors: Jayanti Fitriyana , Triwiyanto Triwiyanto , Rahmawati Triana , Ahmed Abdussalam Ali
Published: December 2022

Respiratory rate is a fundamental vital sign that is sensitive to different pathological conditions including heart, lung, emotional stress, the influence of body temperature and activity fatigue. The respiratory rate in humans is measured by counting the number of breaths for one minute by monitoring and counting the number of times the chest rises and falls during the inhale and exhale process. Various methods for measuring respiratory rate that are commonly used including pneumograph, impedance and capnography are applied in patient monitoring. This study aims to examine and analyze the application of the kalman filter on the output of the gyro accelerometer sensor to increase the results of the detection of respiratory rates using the gyro accelerometer sensor. This study test was carried out using a patient simulator in Surabaya Ministry of Health Polytechnic nursing laboratory. This simulator patient can simulate respiration with a mechanical work system up and down the chest and abdomen, uses an Arduino Nano microcontroller to filter the output of the gyro accelerometer sensor and the results will be compared before and after the filter. The independent variable in this study is the respiration value, while the dependent variable is the sensor output before being filtered. In the relaxed condition of the respondent The most effective use of the kalman filter is found in the parameters R = 10, Q = 0.1 because in the use of these parameters, the value after being filtered has a value that tends to be stable. The highest error value in the application of the gyro accelerometer sensor occurs at sensor position 1 with R = 1 Q = 10 value of 2,6%. This study shows the effect of differences in respiration values before and after using a kalman filter. This study has limited differences in values that are far between the pre filter and after being filtered in several data collections.
PENERAPAN WEB SCRAPING DESKRIPSI PRODUK MENGGUNAKAN SELENIUM PYTHON DAN FRAMEWORK LARAVEL
Authors: Kusumo Stephen
Published: December 2022

Perkembangan kegiatan jual-beli barang pada pasar online dapat berpengaruh terhadap perkembangan perdagangan elektronik (E-Commerce).  Banyak situs-situs E-Commerce yang menawarkan produk dengan harga dan deskripsi yang berbeda. Dalam melakukan pengolahan data produk dalam sebuah pasar online (Marketplace) tentunya akan menghabiskan waktu yang tidaklah sedikit bila memiliki data produk yang sangat banyak. Keterbatasan waktu dalam mengelola data produk dapat diatasi dengan menggunakan proses web scraping. Web scraping adalah proses pengambilan sebuah dokumen semi-terstruktur dari internet dengan tujuan untuk mengambil data atau informasi secara keseluruhan atau sebagian dari halaman berupa website dengan bahasa markup seperti HTML atau XHTML untuk kepentingan yang lain. Dengan permasalahan tersebut maka dilakukan perancangan system menggunakan selenium dan framework laravel untuk mengambil data maupun melakukan edit data agar menjadi lebih efisien dalam mengatur data produk yang dimiliki. Hasil dari penerapan web scraping adalah pengguna dapat mengambil data informasi berupa deskripsi produk dengan cepat dan tepat pada situs e-commerce dan e-marketplace yaitu Shopee dengan menggunakan penyimpanan database MySQL.
Pengujian Usability Aplikasi Mobile E-Surat Menggunakan User Experience Questionnaire (UEQ)
Authors: Ulfa Binti Rahmadtul , Ambarwati Awalludiyah
Published: December 2022

CV ANT merupakan software house di Kota Surabaya. Pada tahun 2019 perusahaan memproduksi aplikasi e-surat mobile untuk salah satu klien. Pada akhir tahun 2021 perusahaan berinisiatif untuk memperbarui desain User Interface dan User Experience (UI/UX) aplikasi tersebut tapi belum adanya pengujian baik untuk desain versi lama maupun baru. Penelitian ini dilakukan pengujian usability pada desain aplikasi mobile e-surat versi lama dan versi baru untuk mengetahui apakah desain baru mempunyai user experience yang lebih baik dari versi lama atau tidak. Teknik pengujian yang digunakan adalah User Experience Questionnaire (UEQ) dan pengujian prototype menggunakan task skenario pada desain versi baru. Sebagai responden adalah pengguna desain versi lama berjumlah 23 orang. Teknik UEQ menghasilkan nilai untuk desain versi baru adalah skala Daya Tarik mendapat 2.4 (excellent), Kejelasan 2.3 (excellent), Efisiensi 2.1 (excellent), Ketepatan 2.2 (excellent), Stimulasi 2.5 (excellent), dan Kebaruan 1.5 (good). Sedangkan versi lama skala Daya Tarik mendapat 1.7 (good), Kejelasan 1.5 (above average), Efisiensi 1.4 (above average), Ketepatan 1.6 (good), Stimulasi 1.4 (good), dan Kebaruan 0.5 (below average). Sehingga bisa disimpulkan bahwa desain versi baru mempunyai user experience yang lebih baik dari desain versi lama. Namun masih perlu adanya perbaikan berdasarkan hasil pengujian prototype yaitu 51 dari 100 dengan level Sedang.
Investigasi Behavioral Intention pada Sistem Pembayaran QRIS di Merchant UMKM
Authors: Setiawan Bobby , Khairani Marwah , Fadil Tadila , Abdullah Tengku Mohd. Khairal
Published: December 2022

Di era digitalisasi ini, perkembangan teknologi berkembang dengan pesat. Salah satu bentuk perkembangannya munculnya kemudahan bertransaksi secara non-tunai seperti pembayaran menggunakan kartu dan mobile payment pada merchant UMKM atau usaha mikro, kecil, dan menengah. Bank Indonesia sebagai regulator sistem pembayaran di Indonesia bekerja sama dengan lembaga lain meluncurkan QRIS sebagai sistem pembayaran baru. Penelitian ini bertujuan untuk meningkatkan jumlah transaksi pembayaran dan bersamaan dengan meningkatkan profitabilitas PJSP melalui identifikasi perubahan Behavioral Intention atas beberapa variabel independen diantaranya Social Influence, Perceived Usefulnes), Perceived Ease of Use, dan Attitude Toward terhadap Behavior Intention. Kemudian Perceived Usefulness terhadap Behavior Intention dengan Attitude Toward sebagai mediasi terhadap Behavior Intention. Adapun hasil penelitian yang dilakukan yaitu terdapat variable-variabel penelitian yang berpengaruh dan tidak berpengaruh. Perceived usefulness berpengaruh terhadap attitude towards to use QRIS Payment System, attitude towards to use QRIS (full mediating) namun tidak berpengaruh terhadap behavioral intention. Perceived ease of use berpengaruh terhadap attitude towards to use QRIS Payment System, attitude towards to use QRIS (full mediating) namun tidak berpengaruh terhadap behavioral intention. Attitude towards to use QRIS Payment System berpengaruh terhadap behavioral intention. Serta Social influence dipengaruhi oleh behavioral intention dan tidak dipengaruhi oleh attitude towards to use QRIS Payment System.
АНТРОПОЦЕНТРИЧЕСКИЕ ПОСЛОВИЦЫ КАК ЛИНГВОКОНТРАСТИВНАЯ И ЛИНГВОМЕТОДИЧЕСКАЯ ПРОБЛЕМА
Authors: DJUSUPOV Maxanbet
Published: December 2022

В статье рассматривается проблема антропоцентрических пословиц с позиции теории языка, сопоставительной лингвистики, методики обучения неродному языку. Пословицы, как разновидность паремиологического клише, как средоточие общечеловеческого и национально-культурного наследия, анализируются с позиции лингвоконтрастивности для выявления сходств и различий в изучаемом и родном языке обучающихся. Обучение пословицам неродного языка (английского или русского), разработка системы учебно-языковых заданий, этапы внедрения ее в учебный процесс предлагается осуществить как явления истории, культуры, менталитета народа, с учетом теоретически возможной и практически присутствующей в речи обучающихся на изучаемом языке интерференции как результата контактирования в их сознании особенностей двух языков. Речевая интерференция в процессе изучения пословицы проявляется на всех уровнях языка (звуковой, лексический, словообразовательный, морфологический, синтаксический, а также в межуровневой стилистике), но, как правило, высокочастотны ошибки семантического характера, так как пословица характерезуется образностью, стилистической возвышенностью, переносностью значения. Антропоцентрические пословицы в изучаемом (в русском или английском) и родном (тюркском) языках имеют сходства и различия. Различия заключаются прежде всего в способах передачи антропоцентричности: в лексическом разнообразии маркирования понятия человек, в частотности использования лексики именных частей речи и т. д. Обучение антропоцентрическим пословицам неродного языка в тюркоязычной (узбекской, казахской и др.) аудитории строится с учетом национально-языковых и историко-культурных особенностей двух языков. Система учебно-языковых заданий охватывает теорию языка и практическое речепроизводство на основе правил дидактики — от простого к сложному, от известного к неизвестному, от одной трудности к другим трудностям и т. д. В ходе ведения научного изыскания были использованы такие методы, как сопоставительный, контроль и оценка знаний, умений и навыков, индуктивные и дедуктивные методы, что позволило получить теоретические и практические результаты, которые будут способствовать более эффективному обучению антропоцентрическим пословицам неродного языка учащихся тюркоязычной аудитории.
EFFECT OF DISINFECTION ON THE PHYSICAL PROPERTIES OF MAXILLOFACIAL SILICONE MATERIAL : A SYSTEMATIC REVIEW
Authors: Lanzara Rajat , Viswambaran M , Kumar Dinesh
Published: December 2022

Purpose – Prosthetic results are largely dominated by physical and mechanical properties of materials used. This
systematic review aims to identify and interpret results of studies that evaluated effect of disinfection on physical
properties of maxillofacial silicone elastomers. Search for all articles regarding the topic, written Method – in English
language only, before December 2021 was carried out using electronic search in PubMed, Google Scholar and Scopus.
Also a manual search in all major Prosthodontic, Research and Biomaterial journals was carried out. A Results – fter
initial search, screening and final selection, 28 studies were selected for review based on inclusion-exclusion criteria.
Among the studies selected only 1 study was published before year 2000 describing the influence of disinfectant on
physical properties of maxillofacial silicone elastomer. Though 27 studies have been published in the period between
2008 to 2021, depicting the change of trend in research in maxillofacial prosthodontics. Disinfectio Conclusion- n
influence various physical properties of maxillofacial silicone elastomer. Currently no ideal silicone material is
available for prosthetic rehabilitation. So there is a need for more search and research to develop a successful
maxillofacial silicone elastomer. Also the literature describing selection of disinfectant and protocol for disinfection of
silicone is highly variable. Hence the standardization organisations or scientific community must design a standard
protocol for disinfection procedure to improve longevity of silicone prosthesis and health of surrounding natural tissues.
Fracturas de pelvis: actualización
Authors: Ortega Yaho Amparo , De Pedro-Abascal M , Alonso-Caravaca Adrián , Castillo-Soriano Miguel Ángel , Villanueva-Dolcet C , Bas Hermida José Luis
Published: December 2022

Las fracturas de pelvis suponen un reto tanto en su diagnóstico como en su tratamiento. El manejo inicial de estas fracturas es clave a la hora del pronóstico y del correcto tratamiento posterior de estos pacientes. Además, tienen una alta morbimortalidad que en ocasiones condiciona el tratamiento definitivo. Es clave conocer la clasificación, entender el mecanismo de producción de la fractura, puesto que nos puede dar información valiosa de otras lesiones orgánicas asociadas. El tratamiento lo más precoz posible cuando el estado del paciente lo permita, es clave para obtener una reducción de la fractura posible, así como un resultado funcional óptimo. Por último, es importante no olvidarse de las secuelas asociadas a estas fracturas, que pueden condicionar la calidad de vida del paciente.
FACTUAL REFLECTION OF PANCASILA AS THE BASIS OF THE STATE: UNIFIER AND DEFENSE OF THE INDONESIAN NATION
Authors: Firmansyah Ade Arif
Published: December 2022

Pancasila as universal values with a high abstraction nature need to be concretized so that they can live and become the basis for behavior for the people of Indonesia. As the basis of the State for unification and defense from the flow of globalization, Pancasila is actually reflected in the behavior of the government in exercising state power. It is the commitment and attitude of the actions of the symbols of the State that are able to reflect on whether Pancasila can survive as a unifier and defense or not. The discussion shows thatt as the basis of the state, Pancasila is the foundation that unites the diversity of the Indonesian nation in the state, as well as a defense in facing the challenges of world development/globalization. The factual condition of Pancasila as the unifier and defense of the Indonesian nation has been degraded due to the inability of government institutions to realize Pancasila in the life of the state. This degradation can be seen by the emergence of separatist movements that demand to break away from Indonesia, the frequent SARA-related conflicts and the low morality of youth due to the disadvantages of globalization. Therefore, government institutions are obliged and required to be able to realize the values of Pancasila in the life of the nation and state.
STUDY OF MAKING BIOMASS BRIQUETTES FROM COCONUT SHELL AND TAPIOCA ADHESIVE
Authors: Santoso Hadi
Published: December 2022

One of the natural resources in Indonesia, especially Tarakan City, is the coconut plant. Coconut shells in Tarakan City are usually used for charcoal to be burned directly as an alternative fuel. This study aims to process charcoal from coconut shells into a more efficient fuel, that’s is biomass briquettes. Biomass briquettes from coconut shells are processed from charcoal making, milling, dough making, molding and drying. Coconut shell charcoal is mashed manually and combined with adhesive from tapioca flour with a ratio of coconut shell charcoal powder to tapioca flour powder is 5:1. Briquettes are printed in the form of tubes with a diameter of 4 cm and a length of 3 cm. The briquettes that have been molded are then dried in an oven at 110oC for 24 hours to remove the moisture content in the briquettes. In the study of application, it takes 10 minutes to cook 2 liters of water to a boil, which is equivalent to using a PGN gas stove with a medium flame setting, and in the process of cooking 2 liters of water it uses 602.8 grams of fuel with 390.2 grams of remaining fuel, and the efficiency is 37.14 %
DESIGN & BUILD A SLURRY TRANSFER CONTROL & MONITORING SYSTEM ON THE ATM 140 SPRAY DRYER USING MICROCONTROLLER WITH ULTRASONIC SENSORS
Authors: Winarno Adi , Faizim Nur , Lukman Muchammad Lukman Fauszan
Published: December 2022

In the current developments automation systems have begun to be applied to the industrial world, including the ceramic or tile industry. The ceramic industry in the main raw materials is soil, processing or mixing soil from crusher machines that will be produced into slurry materials ( slurry) using milling time continus (MTC), spray dryer pump machines to distribute slurries from the reservoir center to the ATM 140 reservoir. Often experiences overload slurry on atm 140 reservoirs because the system still uses swith. The operator still turns off the pump manually when there is an overload, based on these problems, an innovation is needed for an innovative slurry transfer control and monitoring tool on the ATM 140 spray dryer using an ultrasonic microcontroller-based sensor and the percentage of the contents of the reservoir that will be displayed on the LCD.
Pengembangan LKM Berbasis Guided Discovery Learning (GDL) Pada Mata Kuliah Geometri Analitik
Authors: Ika Victoria Nalurita  , Muhammad Jamaluddin
Published: December 2022

This research was aimed to develop a valid, practical and effective student worksheet (LKM) based guided discovery learning (GDL) on Analytical Geometry course. This research was developmental research with a quantitative approach. Subjects of this research were Qomaruddin Gresik University S1 Mathematics Education students who take Analytical Geometry courses. Development of this LKM-based GDL was using the stages of Plomp. Stage generally consists of: (1) initial investigation, (2) design, (3) realization / construction, (4) testing, evaluation and revision and (5) implementation. Results showed that LKM-based GDL developed in this research has fulfilled the criteria of validity, practicality and effectiveness.
Pengaruh Kemandirian Belajar dan Resiliensi Matematis terhadap Kemampuan Pemecahan Masalah Matematis Siswa
Authors: Lina Lutfiyana  , Dyan Falasifa Tsani  , Mohamad Tafrikan
Published: December 2022

This study aims to determine whether there is a significant effect between learning independence and mathematical resilience simultaneously on the mathematical problem solving ability of eighth grade students of SMP Manbaul Hikmah. The type of research used is quantitative research with survey method. The population in this study were all eighth grade students of SMP Manbaul Hikmah with a research sample of 48 students. The results showed that there was a significant effect between learning independence and mathematical resilience simultaneously on the mathematical problem solving abilities of eighth grade students of SMP Manbaul Hikmah on the Pythagorean which was indicated by the F test results obtained by the value of F_hitung=8,454>3,20. The influence of learning independence and mathematical resilience simultaneously can affect the mathematical problem solving ability of eighth grade students of SMP Manbaul Hikmah by 27.35% and the remaining 72.65% is influenced by other factors not explained in the study.
Pengembangan Multimedia Pembelajaran Interaktif berbasis Scratch pada Materi Membandingkan Nilai Pecahan
Authors: Fatimatuz Zahro Octavia  , Kartika Yulianti
Published: December 2022

Mathematics is an abstract science, so we need media that can bridge things from contextual to abstract. The use of interactive learning multimedia that provides visualization and interactions in it can help students understand mathematics learning better. The purpose of this research is to produce an interactive Scratch-based interactive mathematics learning multimedia that meets the valid and practical requirements to facilitate the learning of VII graders of SMP/MTs in the matter of comparing fractions. The method used is Research and Development. Collecting data using interviews, observations, literature studies, and validation questionnaires. Based on the results of the validation questionnaire, it was concluded that the learning media was feasible to use and the learning media were considered to be able to facilitate the learning of mathematics in the matter of comparing fractions.