bluuebunny/crossref_metadata_2025 huggingface dataset:
Spinel-Type Materials Used for Gas Sensing: A Review
Authors: Li Yudong , Yuan Zhenyu , Meng Fanli
Published: September 2020

Demands for the detection of harmful gas in daily life have arisen for a period and a gas nano-sensor acting as a kind of instrument that can directly detect gas has been of wide concern. The spinel-type nanomaterial is suitable for the research of gas sensors because of its unique structure. However, the existing instability, higher detection limit, and operating temperature of the spinel materials limit the extension of the spinel material sensor. This paper reviews the research progress of spinel materials in gas sensor technology in recent years and lists the common morphological structures and material sensitization methods in combination with previous works.
Adaptive Multi-Type Fingerprint Indoor Positioning and Localization Method Based on Multi-Task Learning and Weight Coefficients K-Nearest Neighbor
Authors: Yuan Zhengwu , Zha Xupeng , Zhang Xiaojian
Published: September 2020

The complex indoor environment makes the use of received fingerprints unreliable as an indoor positioning and localization method based on fingerprint data. This paper proposes an adaptive multi-type fingerprint indoor positioning and localization method based on multi-task learning (MTL) and Weight Coefficients K-Nearest Neighbor (WCKNN), which integrates magnetic field, Wi-Fi and Bluetooth fingerprints for positioning and localization. The MTL fuses the features of different types of fingerprints to search the potential relationship between them. It also exploits the synergy between the tasks, which can boost up positioning and localization performance. Then the WCKNN predicts another position of the fingerprints in a certain class determined by the obtained location. The final position is obtained by fusing the predicted positions using a weighted average method whose weights are the positioning errors provided by positioning error prediction models. Experimental results indicated that the proposed method achieved 98.58% accuracy in classifying locations with a mean positioning error of 1.95 m.
Combining Laser-Induced Breakdown Spectroscopy (LIBS) and Visible Near-Infrared Spectroscopy (Vis-NIRS) for Soil Phosphorus Determination
Authors: Sánchez-Esteva Sara , Knadel Maria , Kucheryavskiy Sergey , de Jonge Lis W. , Rubæk Gitte H. , Hermansen Cecilie , Heckrath Goswin
Published: September 2020

Conventional wet chemical methods for the determination of soil phosphorus (P) pools, relevant for environmental and agronomic purposes, are labor-intensive. Therefore, alternative techniques are needed, and a combination of the spectroscopic techniques—in this case, laser-induced breakdown spectroscopy (LIBS)—and visible near-infrared spectroscopy (vis-NIRS) could be relevant. We aimed at exploring LIBS, vis-NIRS and their combination for soil P estimation. We analyzed 147 Danish agricultural soils with LIBS and vis-NIRS. As reference measurements, we analyzed water-extractable P (Pwater), Olsen P (Polsen), oxalate-extractable P (Pox) and total P (TP) by conventional wet chemical protocols, as proxies for respectively leachable, plant-available, adsorbed inorganic P, and TP in soil. Partial least squares regression (PLSR) models combined with interval partial least squares (iPLS) and competitive adaptive reweighted sampling (CARS) variable selection methods were tested, and the relevant wavelengths for soil P determination were identified. LIBS exhibited better results compared to vis-NIRS for all P models, except for Pwater, for which results were comparable. Model performance for both the LIBS and vis-NIRS techniques as well as the combined LIBS-vis-NIR approach was significantly improved when variable selection was applied. CARS performed better than iPLS in almost all cases. Combined LIBS and vis-NIRS models with variable selection showed the best results for all four P pools, except for Pox where the results were comparable to using the LIBS model with CARS. Merging LIBS and vis-NIRS with variable selection showed potential for improving soil P determinations, but larger and independent validation datasets should be tested in future studies.
The Millimeter-Wave Radar SLAM Assisted by the RCS Feature of the Target and IMU
Authors: Li Yang , Liu Yutong , Wang Yanping , Lin Yun , Shen Wenjie
Published: September 2020

Compared with the commonly used lidar and visual sensors, the millimeter-wave radar has all-day and all-weather performance advantages and more stable performance in the face of different scenarios. However, using the millimeter-wave radar as the Simultaneous Localization and Mapping (SLAM) sensor is also associated with other problems, such as small data volume, more outliers, and low precision, which reduce the accuracy of SLAM localization and mapping. This paper proposes a millimeter-wave radar SLAM assisted by the Radar Cross Section (RCS) feature of the target and Inertial Measurement Unit (IMU). Using IMU to combine continuous radar scanning point clouds into “Multi-scan,” the problem of small data volume is solved. The Density-based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm is used to filter outliers from radar data. In the clustering, the RCS feature of the target is considered, and the Mahalanobis distance is used to measure the similarity of the radar data. At the same time, in order to alleviate the problem of the lower accuracy of SLAM positioning due to the low precision of millimeter-wave radar data, an improved Correlative Scan Matching (CSM) method is proposed in this paper, which matches the radar point cloud with the local submap of the global grid map. It is a “Scan to Map” point cloud matching method, which achieves the tight coupling of localization and mapping. In this paper, three groups of actual data are collected to verify the proposed method in part and in general. Based on the comparison of the experimental results, it is proved that the proposed millimeter-wave radar SLAM assisted by the RCS feature of the target and IMU has better accuracy and robustness in the face of different scenarios.
Convolutional Neural Network Architecture for Recovering Watermark Synchronization
Authors: Kim Wook-Hyung , Kang Jihyeon , Mun Seung-Min , Hou Jong-Uk
Published: September 2020

In this paper, we propose a convolutional neural network-based template architecture that compensates for the disadvantages of existing watermarking techniques that are vulnerable to geometric distortion. The proposed template consists of a template generation network, a template extraction network, and a template matching network. The template generation network generates a template in the form of noise and the template is inserted into certain pre-defined spatial locations of the image. The extraction network detects spatial locations where the template is inserted in the image. Finally, the template matching network estimates the parameters of the geometric distortion by comparing the shape of spatial locations where the template was inserted with the locations where the template was detected. It is possible to recover an image in its original geometrical form using the estimated parameters, and as a result, watermarks applied using existing watermarking techniques that are vulnerable to geometric distortion can be decoded normally.
High Density Real-Time Air Quality Derived Services from IoT Networks
Authors: Badii Claudio , Bilotta Stefano , Cenni Daniele , Difino Angelo , Nesi Paolo , Paoli Irene , Paolucci Michela
Published: September 2020

In recent years, there is an increasing attention on air quality derived services for the final users. A dense grid of measures is needed to implement services such as conditional routing, alerting on data values for personal usage, data heatmaps for Dashboards in control room for the operators, and for web and mobile applications for the city users. Therefore, the challenge consists of providing high density data and services starting from scattered data and regardless of the number of sensors and their position to a large number of users. To this aim, this paper is focused on providing an integrated solution addressing at the same time multiple aspects: To create and optimize algorithms for data interpolation (creating regular data from scattered), making it possible to cope with the scalability and providing support for on demand services to provide air quality data in any point of the city with dense data. To this end, the accuracy of different interpolation algorithms has been evaluated comparing the results with respect to real values. In addition, the trends of heatmaps interpolation errors have been exploited to detected devices’ dysfunctions. Such anomalies may often be useful to request a maintenance action. The solution proposed has been integrated as a Micro Services providing data analytics in a data flow real time process based on Node.JS Node-RED, called in the paper IoT Applications. The specific case presented in this paper refers to the data and the solution of Snap4City for Helsinki. Snap4City, which has been developed as a part of Select4Cities PCP of the European Commission, and it is presently used in a number of cities and areas in Europe.
Moving Auto-Correlation Window Approach for Heart Rate Estimation in Ballistocardiography Extracted by Mattress-Integrated Accelerometers
Authors: Laurino Marco , Menicucci Danilo , Gemignani Angelo , Carbonaro Nicola , Tognetti Alessandro
Published: September 2020

Continuous heart monitoring is essential for early detection and diagnosis of cardiovascular diseases, which are key factors for the evaluation of health status in the general population. Therefore, in the future, it will be increasingly important to develop unobtrusive and transparent cardiac monitoring technologies for the population. The possible approaches are the development of wearable technologies or the integration of sensors in daily-life objects. We developed a smart bed for monitoring cardiorespiratory functions during the night or in the case of continuous monitoring of bedridden patients. The mattress includes three accelerometers for the estimation of the ballistocardiogram (BCG). BCG signal is generated due to the vibrational activity of the body in response to the cardiac ejection of blood. BCG is a promising technique but is usually replaced by electrocardiogram due to the difficulty involved in detecting and processing the BCG signals. In this work, we describe a new algorithm for heart parameter extraction from the BCG signal, based on a moving auto-correlation sliding-window. We tested our method on a group of volunteers with the simultaneous co-registration of electrocardiogram (ECG) using a single-lead configuration. Comparisons with ECG reference signals indicated that the algorithm performed satisfactorily. The results presented demonstrate that valuable cardiac information can be obtained from the BCG signal extracted by low cost sensors integrated in the mattress. Thus, a continuous unobtrusive heart-monitoring through a smart bed is now feasible.
Tendency to Use Big Data in Education Based on Its Opportunities According to Andalusian Education Students
Authors: Matas-Terrón Antonio , Leiva-Olivencia Juan José , Negro-Martínez Cristina
Published: September 2020

Big Data is configured as a technological element and of increasing educational interest. The need to advance the quality of academic inclusion has led to an unprecedented expansion of educational processes and features. Thus, collecting massive data on educational information is part of teachers’ daily lives and educational institutions themselves. There is an intense debate about the potential of Big Data in the educational context, especially through learning analytics that favor the appropriate, responsible, and inclusive use of the data collected. The main aim of this article is to analyze user profiles and the tendency to use Big Data and see what factors influence its applicability. This study employs an incidental sample of 265 students of Educational Sciences from Andalusian Universities, (Spain), using an ad-hoc survey. A cluster analysis was conducted together with ordinal regression analysis and decision tree. The results allow us to confirm the existence of two different student profiles, in terms of their perceptions and appraisal of Big Data and its implications in education. Consequently, a higher score is found for that profile that contemplates and positively conceives Big Data in terms of learning opportunities and improvement of educational quality. The research demonstrates the need to promote Big Data training within the context of university, aiding the acquisition of digital and transversal skills.
On the Use of the Cumulative Distribution Function for Large-Scale Tolerance Analyses Applied to Electric Machine Design
Authors: Marth Edmund , Bramerdorfer Gerd
Published: September 2020

In the field of electrical machine design, excellent performance for multiple objectives, like efficiency or torque density, can be reached by using contemporary optimization techniques. Unfortunately, highly optimized designs are prone to be rather sensitive regarding uncertainties in the design parameters. This paper introduces an approach to rate the sensitivity of designs with a large number of tolerance-affected parameters using cumulative distribution functions (CDFs) based on finite element analysis results. The accuracy of the CDFs is estimated using the Dvoretzky–Kiefer–Wolfowitz inequality, as well as the bootstrapping method. The advantage of the presented technique is that computational time can be kept low, even for complex problems. As a demanding test case, the effect of imperfect permanent magnets on the cogging torque of a Vernier machine with 192 tolerance-affected parameters is investigated. Results reveal that for this problem, a reliable statement about the robustness can already be made with 1000 finite element calculations.
Country’s Entrepreneurial Environment Predictors for Starting a New Venture—Evidence for Romania
Authors: Păunescu Carmen , Molnar Elisabeta
Published: September 2020

Entrepreneurship has been recognized as a key contributor to the economic development of countries and societal wellbeing. Building and sustaining an adequate entrepreneurial climate challenges—to a high extent—transitional economies world-wide, pushing these countries to develop policies and strategies aimed to sustain high-quality national entrepreneurship. The paper seeks to understand the key determinants of a country’s entrepreneurial environment that drive potential entrepreneurs to assume an entrepreneurial status. It attempts to examine the countries’ entrepreneurial environment factors that influence the development of entrepreneurial spirit and affect the potential entrepreneurs’ decision to start a new venture as a desirable career opportunity. Entrepreneurial spirit is measured by entrepreneurial desirability, feasibility and social stability, taken from the Amway Global Entrepreneurship Report (AGER) 2018 data on national entrepreneurship. The results of the linear regression employed in the paper suggest that, in transitional economies like Romania, clear and stable rules and regulations, manageable taxes, an overall beneficial economic situation, as well as availability and accessibility of technology, may lead to greater entrepreneurial drive and ambition, which is fundamental to sustaining economic growth. The article ends with a discussion about the results and implications of the research.
Enabling Integrated Policymaking with the Sustainable Development Goals: An Application to Ireland
Authors: Horan David
Published: September 2020

This article addresses policy coherence for sustainable development demonstrating the important role that dashboards of interlinked indicators can play as tools to coordinate interrelated government ministries for integrated policymaking at national level. Specifically, a monitoring and coordination tool is proposed based on Sustainable Development Goals (SDGs) indicators and mappings of SDG responsibilities across ministries. Drawing on studies in sustainability science of SDG interlinkages, the article presents a five-step procedure that government departments can use to construct indicator sets from official SDG indicators to support integrated policymaking for a specific sector. I apply the method to Ireland’s marine sector. Ireland is an interesting case because although many countries report mapping SDG responsibilities across ministries, Ireland’s Voluntary National Review explicitly maps these responsibilities for all 17 SDGs and 169 targets. Using performance gap analysis, concrete recommendations are developed for the lead department of the marine along three dimensions: which departments to cooperate with, on what policy areas discussions should focus, and how Ireland performs in each area compared to a selection of peer countries. In particular, the article recommends cooperation with nine other departments on fifteen policy issues. Relative to peers, Ireland is ranked amongst sustainability “leaders” on three of these issues and amongst “laggards” on nine issues. The proposed procedure, which has wide application (to other countries and sectors) as a starting point for integrated policymaking, can help to raise awareness among policymakers of outcomes in linked policy areas and enable dialogue between ministries on coherent policies to address interrelated gaps in sustainability.
Graph Learning-Based Ontology Sparse Vector Computing
Authors: Wu Jianzhang , Sangaiah Arun Kumar , Gao Wei
Published: September 2020

The ontology sparse vector learning algorithm is essentially a dimensionality reduction trick, i.e., the key components in the p-dimensional vector are taken out, and the remaining components are set to zero, so as to obtain the key information in a certain ontology application background. In the early stage of ontology data processing, the goal of the algorithm is to find the location of key components through the learning of some ontology sample points, if the relevant concepts and structure information of each ontology vertex with p-dimensional vectors are expressed. The ontology sparse vector itself contains a certain structure, such as the symmetry between components and the binding relationship between certain components, and the algorithm can also be used to dig out the correlation and decisive components between the components. In this paper, the graph structure is used to express these components and their interrelationships, and the optimal solution is obtained by using spectral graph theory and graph optimization techniques. The essence of the proposed ontology learning algorithm is to find the decisive vertices in the graph Gβ. Finally, two experiments show that the given ontology learning algorithm is effective in similarity calculation and ontology mapping in some specific engineering fields.
Identification of a Membrane Binding Peptide in the Envelope Protein of MHV Coronavirus
Authors: Alsaadi Entedar A. J. , Neuman Benjamin W. , Jones Ian M.
Published: September 2020

Coronaviruses (CoVs) are enveloped, positive sense, single strand RNA viruses that cause respiratory, intestinal and neurological diseases in mammals and birds. Following replication, CoVs assemble on intracellular membranes including the endoplasmic reticulum Golgi intermediate compartment (ERGIC) where the envelope protein (E) functions in virus assembly and release. In consequence, E potentially contains membrane-modifying peptides. To search for such peptides, the E coding sequence of Mouse Hepatitis Virus (MHV) was inspected for its amino acid conservation, proximity to the membrane and/or predicted amphipathic helices. Peptides identified in silico were synthesized and tested for membrane-modifying activity in the presence of giant unilamellar vesicles (GUVs) consisting of 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC), sphingomyelin and cholesterol. To confirm the presence of membrane binding peptides identified in the context of a full-length E protein, the wild type and a number of mutants in the putative membrane binding peptide were expressed in Lenti-X-293T mammalian and insect cells, and the distribution of E antigen within the expressing cell was assessed. Our data identify a role for the post-transmembrane region of MHV E in membrane binding.
COVID-19 Pandemic Consequences on Coastal Water Quality Using WST Sentinel-3 Data: Case of Tangier, Morocco
Authors: Cherif El Khalil , Vodopivec Martin , Mejjad Nezha , Esteves da Silva Joaquim C.G. , Simonovič Simona , Boulaassal Hakim
Published: September 2020

The west coast of Tangier, in northern Morocco, has been affected by industrial wastewater discharge that reaches the ocean through the Boukhalef river. Therefore, the Jbila and Sidikacem beaches near to the Boukhalef river mouth have been classified as polluted for many years. With the aim of determining the COVID-19 pandemic consequences on the Tangier coastal environment, a linear model using Sentinel 3 water surface temperature (WST) has been tested in several locations. Data from April 2019 and April 2020, before and during the COVID-19 pandemic related emergency status in Morocco, were compared. The results from April 2019 showed high WST values and consequently, the poorest water quality in the sites closest to the Boukhalef river mouth. On the other hand, the results from April 2020 showed normal WST values and high water quality in the same study area. These results illustrate the usefulness of Sentinel 3 WST for the estimation of bathing water quality on the west coast of Tangier. The study shows the positive impact of the COVID-19 pandemic consequences on the coastal environment quality in the study area and indicates the importance of decreasing the industrial discharge on the west coast of Tangier. The same methodology could be used in decision-making processes and to reduce cost, time and human resources for coastal monitoring systems. We demonstrate the potential of using the Sentinel 3 data for coastal waters monitoring, as well as the need for stricter controls of pollutant discharges into the world’s rivers.
Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake
Authors: Wei Yuanyun , Zhang Manyin , Cui Lijuan , Pan Xu , Liu Weiwei , Li Wei , Lei Yinru
Published: September 2020

Decomposition of emergent macrophytes is now recognized as an internal nutrient source for shallow lakes. Temperate lakes always experience seasonal ice cover in winter, but the influences of emergent macrophytes decomposition on water quality have rarely been examined under ice. Here, we conducted an incubation experiment to investigate winter decomposition of two common emergent macrophytes species (Typha orientalis and Phragmites australis) and its influences on water quality in the Hengshui Lake, North China. Mesocosms simulating a lake ice regime were incubated in the field for 120 days in winter and were treated with and without plant material addition. Water quality was monitored through dissolved oxygen (DO), dissolved organic carbon (DOC), total nitrogen (TN), total phosphorus (TP), ammonium nitrogen (NH4-N), and nitrate nitrogen (NO3-N). We found that both species were significantly decomposed in winter and that the majority of mass loss occurred in the first 10 days of decomposition when the water surface of mesocosms were already frozen. The concentrations of DO rapidly dropped to values close to zero after plant material submergence. At the end of incubation, the concentrations of DOC, TN, and NO3-N in the mesocosms with plant material addition were significantly higher than initial concentrations. In contrast, the concentrations of DOC, TN, TP, NO3-N, and NH4-N in the mesocosms without plant material addition were equal to or less than initial concentrations. Our research suggests that winter decomposition of emergent macrophytes produces negative influences on water quality under ice that lasts for the whole winter.
The difference an end-of-life diagnosis makes: qualitative interviews with providers of community health care for frail older people
Authors: Polak Louisa , Hopkins Sarah , Barclay Stephen , Hoare Sarah
Published: September 2020

Background

Increasing numbers of people die of the frailty and multimorbidity associated with old age, often without receiving an end-of-life diagnosis. Compared to those with a single life-limiting condition such as cancer, frail older people are less likely to access adequate community care. To address this inequality, guidance for professional providers of community health care encourages them to make end-of-life diagnoses more often in such people. These diagnoses centre on prognosis, making them difficult to establish given the inherent unpredictability of age-related decline. This difficulty makes it important to ask how care provision is affected by not having an end-of-life diagnosis.

Aim

To explore the role of an end-of-life diagnosis in shaping the provision of health care outside acute hospitals.

Design and setting

Qualitative interviews with 19 healthcare providers from community-based settings, including nursing homes and out-of-hours services.

Method

Semi-structured interviews (nine individual, three small group) were conducted. Data were analysed thematically and using constant comparison.

Results

In the participants’ accounts, it was unusual and problematic to consider frail older people as candidates for end-of-life diagnosis. Participants talked of this diagnosis as being useful to them as care providers, helping them prioritise caring for people diagnosed as ‘end-of-life’ and enabling them to offer additional services. This prioritisation and additional help was identified as excluding people who die without an end-of-life diagnosis.

Conclusion

End-of-life diagnosis is a first-class ticket to community care; people who die without such a diagnosis are potentially disadvantaged as regards care provision. Recognising this inequity should help policymakers and practitioners to mitigate it.
Meredupnya Media Cetak, Dampak Kemajuan Teknologi Informasi
Authors: Romadhoni Budi Arista
Published: September 2020

The closing of national and international print media is the impact of technological development today. Print media is faced with the high cost of production and the change of society using mass media to seek information. Invention Information technology and communication that allows all forms of information to digital create a major impact on the media, especially print media. Online media provides a new color for the press and news readers, the news is fast, easy to access, and cheap. Media that can not keep up with technology will be closed.
E-PARTISIPASI VIRTUAL DALAM SELAMATKAN LINGKUNGAN DI ERA DIGITAL
Authors: Boer Kheyene Molekandella
Published: September 2020

Issues about the environment often become the spotlight of the world, ranging from technological developments to a million environmental problems that never end. Now environmental issues are touched by the rapid development of digital technology. This makes a big change for the world of the environment. Ranging from digital conversations to top level or government decision-making to making environmental policies, all references are taken from community activities and participation that often voice their opinions on social media. Communication technology in the context of the environment that is most widely seen is the phenomenon of online petitions or known as "change.id". a site that offers space to discuss anything including environmental issues. The power of online petitions that move quickly by collecting votes through online signatures is able to stop the government's steps to dismantle Sophie's ship in Aceh. The reason is to save ecosystems such as long-developed coral reefs around the sophie ship that sank many years ago. E-participation as a form of digital democracy. Where the public is not obliged to appear physically in front of the government, through interactivity built in online media makes every active person involved without being limited by distance, space and time. Of course, with the concept of e-participation it is hoped that environmental issues can be controlled not only by the government but by the public. Because one indicator of the development of a country's progress is one of which is seen from the level of people's participation.
URGENSI PSIKOLOGI DALAM AKTIVITAS DAKWAH
Authors: Fabriar Silvia Riskha
Published: September 2020

Abstract

Da’wah is an Islamic communication, which is a communication activity carried out intentionally and consciously in the form of an invitation to the path of God with amar ma'ruf nahi munkar to achieve the happiness of humanity in the world and the hereafter. When preaching, the preacher needs to even have to know the psychological condition of the object being preached (mad'u) so that what is conveyed can later be conveyed properly. In this case, psychology provides a way to convey material and establish methods of preaching to humans who are totality (psychophysical) creatures and have personalities from both internal and external influences. Thus, psychology in the process of da'wah has a focal point in the knowledge of human behavior. Based on psychiatric or psychological elements, the process of preaching will proceed according to the needs that are expected of humans as individuals and social beings.

Keywords: da’wah, communication, psychology condition

Dakwah merupakan suatu komunikasi Islam, yaitu suatu aktivitas komunikasi yang dilakukan secara sengaja dan sadar yang berupa ajakan kepada jalan Allah dengan amar ma’ruf nahi munkar untuk meraih kebahagiaan manusia dunia dan akhirat. Ketika berdakwah, da’i perlu bahkan harus mengetahui kondisi psikologis objek yang didakwahi (mad’u) agar apa yang disampaikan nantinya dapat tersampaikan dengan baik. Dalam hal ini, psikologi memberikan jalan bagaimana menyampaikan materi dan menetapkan metode dakwah kepada manusia yang merupakan makhluk totalitas (psikofisik) dan memiliki kepribadian baik dari faktor dalam maupun pengaruh dari luar. Dengan demikian, psikologi dalam proses dakwah mempunyai titik perhatian pada pengetahuan tentang tingkah laku manusia. Dengan berlandaskan unsur-unsur kejiwaan atau psikologi, proses dakwah akan berjalan sesuai kebutuhan yang diharapkan manusia sebagai individu dan makhluk sosial.

Kata kunci: dakwah, komunikasi, kondisi psikologis
BERBUSANA MUSLIMAH DAN HUBUNGANNYA DENGAN PERGAULAN BEBAS DI SMK PLUS TRIMITSA CIBINONG
Authors: Amelia Amelia , Rabbanie Dahlan , Asmahasanah Salati
Published: September 2020

The study aims to determine the relationship of Muslim dress and promiscuity in students at Trimitsa Cibinong Vocational High School. The population is 41 students from the whole class 12, and the sample is 36 students. The method used is quantitative and questionnaire as an instrument, testing of research hypotheses is done using correlation analysis and regeneration, data analysis using Pearson Correlation statistical analysis. The results of this study indicate that the positive relationship between Muslim dress variables and promiscuity variables is calculated with Pearson Correlation, the correlation coefficient value obtained between these variables is 4,861. The coefficient of determination in this analysis obtained a value of 0,637 which means that promiscuity variables can be explained by Muslim dress variables. Based on the results of the study it can be said that Muslim dress (X) has a relationship with promiscuity (Y) of SMK Plus Trimitsa Cibinong female students.

Keywords: Muslim dress, dress criteria, promiscuit

Penelitian bertujuan untuk mengetahui hubungan berbusana muslimah dan pergaulan bebas pada peserta didik di Sekolah Menengah Kejuruan Plus Trimitsa Cibinong. Populasi berjumlah 41 siswi dari keseluruhan kelas 12, dan yang dijadikan sampel berjumlah 36 siswi. Metode yang digunakan adalah kuantitatif dan kuesioner sebagai instrumen, pengujian hipotesis penelitian dilakukan dengan menggunakan analisis korelasi dan regreasi, analisis data menggunakan analisis statistik Pearson Correlation. Hasil penelitian ini menunjukan bahwa hubungan positif antara variabel berbusana muslimah dan variabel pergaulan bebas dihitung dengan Pearson Correlation, nilai koefisien korelasi yang diperoleh antara variabel tersebut sebesar 4,861. Nilai koefision determinasi dalam analisis ini diperoleh nilai 0,637 yang berarti variabel pergaulan bebas bisa dijelaskan dari variabel berbusana muslimah. Berdasarkan hasil penelitian dapat dikatakan bahwa berbusana muslimah (X) memiliki hubungan dengan pergaulan bebas (Y) siswi SMK Plus Trimitsa Cibinong.

Kata Kunci: berbusana muslimah, kriteria berbusana, pergaulan bebas
Cognitive Function and Uremic Toxins after Kidney Transplantation: An Exploratory Study
Authors: te Linde Elsemieke , van Roij Claudette J.M. , Meijers Bjӧrn K.I. , De Loor Henriette , Kessels Roy P.C. , Wetzels Jack F.M.
Published: September 2020

Background

Cognitive functions are altered in patients with CKD. However, it is suggested that cognitive functions improve after kidney transplantation, at least partially. A possible cause for this improvement could be the reduction of uremic retention solutes after transplantation. This study assessed the association between the changes in uremic toxin concentration with the changes in cognitive function in patients after kidney transplantation.

Methods

Ten recipients of kidney transplants were compared with 18 controls (nine patients on hemodialysis, and nine patients with CKD stage 4 or 5 [eGFR <30 ml/min per 1.73 m2] who were not on dialysis). An extensive neuropsychological assessment, covering the five major cognitive domains (i.e., memory, attention and concentration, information processing speed, abstract reasoning, and executive function), was done before transplantation, at 1 week post-transplant, and 3 months after transplantation. Similarly, assessments of the 18 matched, control patients were performed longitudinally over a period of 3–5 months. Concentrations of 16 uremic retention solutes (indoxyl glucuronide, p-cresyl glucuronide, phenylglucuronide, 3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid, indoxyl sulfate, p-cresyl sulfate, hippuric acid, phenyl sulfate, kynurenine, tryptophan, kynurenic acid, tyrosine, indole-3-acetic acid, phenylalanine, trimethylamine N-oxide, and phenylacetylglutamine) were measured in serum samples collected at the time of the neuropsychological assessments.

Results

A significant improvement in cognitive function was only found in the processing-speed domain, and this was observed in both patients who received a transplant and patients with CKD. No significant differences between patients who received a transplant and the control groups were seen in the other cognitive domains. As expected, the serum concentration of most uremic toxins decreased significantly within 1 week after kidney transplantation.

Conclusions

There was no significant improvement in cognitive function that could be specifically related to kidney transplantation in the first 3 months after the procedure. These data do not support the notion that uremic toxins exert an immediate effect on cognitive function.
Benign Vokal Kord Hastalıklarında Tedavi Etkinliğinin Ses Analizi ile Değerlendirilmesi
Authors: ÜLKÜMEN Burak , ESKİİZMİR Görkem , ÇELİK Onur , DOMBAYCI Onur
Published: September 2020

Amaç: Benign vokal kord patolojilerinde ses terapisi ve fonocerrahinin etkinliğini belirlemek.

Materyal Metot: Manisa Celal Bayar Üniversitesi KBB polikliniğine Eylül 2015-Mayıs 2019 tarihleri arasında ses kısıklığı ile başvuran ve akustik ses analizi yapılan 79 (35 K, 44 E) hasta çalışmaya dahil edilmiştir. Ses analizinde hastanın başvuru sırasında ve tedavi sonrası 3. ayda auidio-technica AT2005USB marka mikrofon ile alınan kayıtları karşılaştırılmıştır. Akustik analiz çok boyutlu ses analiz programı (Multi-Dimensional Voice Program- MDVP) kullanılarak yapılmıştır. F0, vF0, Jitter, Shimmer, APQ, NHR ve VTI parametreleri analiz edilmiştir. Ses kayıtları alınmıştır. Ses analizi değerleri gurup bazında tedavi öncesi ve sonrası “eşli örneklem t testi” kullanılarak karşılaştırılmıştır. Veriler ortalama ± standart sapma (SD) olarak sunulmuştur. Güven aralığı 95% ve p
ÇOCUKLARDA YABANCI CİSİM YUTULMASINDA BÜYÜK TEHLİKE: PİLLER
Authors: ALTUNDAĞ Sebahat , ÇALIŞKAN Zehra
Published: September 2020

Çocuklar gelişim özellikleri ve merakları nedeniyle yabancı cisimleri ve oyuncakları ağızlarına götürmeye eğilimlidirler ve bazen onları yutabilirler. Teknolojik aletlerin ve oyuncakların artması ile birlikte pillerin çocuklar tarafından yutulma sıklığının da arttığı bildirilmektedir. Bu derlemede amaç, çocuklarda yabancı cisim yutulmasında büyük bir tehlike olarak görülen pillerin yutulmasının çocukların sağlığı üzerine olumsuz etkilerini incelemek, eğitim/danışmanlık ile gerekli önlemlerin alınabileceğini ve kaza sıklığının azalabileceğine dikkat çekmektir. Yapılan çalışmalarda kaza ile yutulan pillerin; özofagustan trakea ve aorta kadar uzanan yaralanmalara, kanamalara neden olduğu, kostik özofageal yaralanma, mediastinit, trakeoözofagial fistül, özofagusperforasyonu, özofagus darlığı, trakealstenoz gibi komplikasyonlara hatta ölüme neden olduğu bildirilmiştir. Sonuç olarak, çocukların kaza ile pil yutmasının acil müdahale gerektirdiği aksi halde ölümcül komplikasyonlara yol açabildiği görülmektedir. Çocukların pil yutmasına karşı önlem almak için, ebeveynler ve çocuğa bakan kişiler, pil yutulması sonucu gelişebilen tehlikeler hakkında bilgilendirilmeli, yapılacak ev ziyaretleri ile ev ortamını kazalara karşı güvenli hale getirebilmeleri konusunda farkındalıklarının arttırılması gerekmektedir.
Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures
Authors: Luo Ying-Tao , Li Peng-Qi , Li Dong-Ting , Peng Yu-Gui , Geng Zhi-Guo , Xie Shu-Huan , Li Yong , Alù Andrea , Zhu Jie , Zhu Xue-Feng
Published: September 2020

In quantum mechanics, a norm-squared wave function can be interpreted as the probability density that describes the likelihood of a particle to be measured in a given position or momentum. This statistical property is at the core of the fuzzy structure of microcosmos. Recently, hybrid neural structures raised intense attention, resulting in various intelligent systems with far-reaching influence. Here, we propose a probability-density-based deep learning paradigm for the fuzzy design of functional metastructures. In contrast to other inverse design methods, our probability-density-based neural network can efficiently evaluate and accurately capture all plausible metastructures in a high-dimensional parameter space. Local maxima in probability density distribution correspond to the most likely candidates to meet the desired performances. We verify this universally adaptive approach in but not limited to acoustics by designing multiple metastructures for each targeted transmission spectrum, with experiments unequivocally demonstrating the effectiveness and generalization of the inverse design.
Tinjauan Yuridis Kebijakan Work From Home Berdasarkan Undang-Undang Ketenagakerjaan
Authors: Rudi Hartono Nanang , Suci Ramadhani Amalia
Published: September 2020

Tujuan penelitian ini adalah untuk memberikan penjelasan tinjauan yuridis kebijakan Work From Home berdasarkan Undang-undang Ketenagakerjaan dan menjelaskan sanksi maupun solusi jika pengusaha tidak dapat memberikan hak bagi pekerja yang bekerja dari rumah. Penelitian ini menggunakan metode penelitian hukum normatif dengan pendekatan yuridis normatif. Hasil penelitian ini adalah bahwa kebijakan Work From Home tidak memiliki sanksi karena hanya suatu himbauan. Bagi perusahan yang tidak dapat mempekerjakan pekerjanya dari rumah harus menyediakan APD. Pembayaran tunjangan yang harus dibayarkan dimasa pandemi seharusnya tidak boleh diangsur karena telah diatur oleh undang-undang yang memiliki kedudukan di atasnya.
O “Narciso”, de Luís de Montalvor, e a paisagem em delírio
Authors: Gebra Fernando De Moraes
Published: September 2020

O presente artigo desconstrói uma imagem cristalizada na historiografia literária luso-brasileira de que a revista Orpheu é o órgão do Modernismo Português. A leitura atenta de todos os poemas e fragmentos de prosa estampados nessa revista literária permite concluir que, tal como afirma Fernando Pessoa em carta a Camilo Pessanha, Orpheu apresenta “poemas e prosas que vão do ultra-simbolismo até ao futurismo”. Toda a apresentação centra-se no poeta e diretor do primeiro número de Orpheu, Luís de Montalvor (1891-1947). Abordo, rapidamente, algumas metáforas de leitura feitas sobre a obra de Montalvor, para, em seguida, concentrar-me no estudo analítico do poema “Narciso” (publicado no segundo número de Orpheu), destacando as metamorfoses do mito clássico de Narciso, a paisagem em delírio, os espectros do duplo, a linguagem multifacetada e os efeitos de sentido gerados pelas escolhas lexicais. Durante o processo analítico do poema, discuto os procedimentos estéticos do autor, imbricados na tradição do Decadentismo-Simbolismo, relacionando-os com os textos doutrinários (“Introdução” de Orpheu 1 e “Tentativa de um ensaio sobre a Decadência”, da revista Centauro).
A tradução pedagógica em interações de sala de aula de português em Macau, China: recursos para o multilinguismo
Authors: Rui Mengqing , Teixeira e Silva Roberval
Published: September 2020

No contexto multilíngue da China, a sala de aula de ensino de português tem cada vez ocupado mais espaço. Neste ambiente, o confronto entre metodologias tem avivado debates sobre diferentes técnicas e as suas adequações em termos de eficácia didática. Este artigo tem como objetivo discutir o uso da tradução pedagógica no discurso do professor em interações de sala de aula de Português como Língua Não-Materna (PLNM), de forma a contribuir para a qualificação docente e promover a construção conjunta de conhecimento em sala de aula. Para tanto, a sociolinguística interacional é a referência que traz uma perspectiva geral para investigar a atuação da tradução pedagógica na interação em sala de aula, enquanto que a classificação de tipos de tradução de Chesterman (1997) serve de referência para categorizar e discutir este recurso discursivo. No tratamento de dados, adotamos princípios da microanálise etnográfica como metodologia, procurando entender os efeitos interativos que o uso de estratégias de tradução pedagógica pode criar na construção do conhecimento e dar ferramentas teórico-práticas para o professor refletir sobre a sua prática profissional.
Os simbolistas: virando o século
Authors: Lins Vera
Published: September 2020

O artigo examina os escritores simbolistas da virada do século XIX, concentrando-se nos ensaios de dois críticos: o crítico de arte e ficcionista, Gonzaga Duque e o crítico de literatura e também ficcionista, Nestor Victor. Em ambos pode-se observar uma reflexão sobre a arte e a cultura brasileira original e já moderna.
Patent landscape as an instrument for forecasting world technological trends: transport system, rocket and space industry, aircraft and shipbuilding
Authors: Androshchuk H. O. , Kvasha T. K. , Kovalenko O. V.
Published: September 2020

The Law of Ukraine “On priority areas of innovation in Ukraine” expires in 2021. Therefore, the question of identifying new innovative priorities has been arosen. Transport and transport infrastructure represent an important part of GDP and jobs, the transformation of the transport sector provides huge business opportunities, and transportation services are necessary for the well-being and quality of life of citizens and the competitiveness of the Ukrainian economy. Transport infrastructure is a key element of the many United Nations sustainable development goals. Given all the above and the fact that the demand for transport services will constantly grow due to population growth, increased volumes of production and consumption of goods, transport has great chances to be included in the new list of priority areas of scientific and technological development in Ukraine. Therefore, the analysis of the technological development of this sphere is an urgent task of clarifying the future priorities of innovation in the field of transport in Ukraine. In the work the methodology of scientific and technological forecasting has been developed using the patent landscape and intellectual property analytics and on the basis of forecasting and analytical studies. Using this methodology and the Web of Science, Derwent Innovation and PatSnap and the International Patent Classification (IPC) databases, a patent landscape was built and world technological trends of the field under study were determined, in particular, digitalization, electrification, general mobility, autonomy, decarbonization, as well as the need for a new city planning. It is concluded that patent analysis, patent landscape and patent analytics make it possible to develop a forecast of technological changes, in particular for the transport, and the use of two patent databases increases the accuracy of the forecast. The results of the work make it possible to determine the scientific and technological priority areas for the transport system, and for business and innovation politic to respond in time to changes in development directions and conditions for the functioning of transport, take them into account when developing a transport strategy and get potential benefits and minimize the negative consequences of the events encountered and transport will collide.
Frequency of coexistence and kinetics of the BCR-ABL1 transcript level and allele burden of JAK2V617F and CALR Type 1, 2 gene mutations in patients with chronic myeloid leukemia
Authors: Abdullaev A. O. , Stepanova E. A. , Makarik T. V. , Nikulina E. Y. , Treglazova S. A. , Goryacheva S. R. , Shukhov O. A. , Bykova A. V. , Tratsevskaya Z. V. , Melikyan A. L. , Kovrigina A. M. , Turkina A. G. , Sudarikov A. B.
Published: September 2020

Introduction. The pathogenesis of myeloproliferative neoplasms is associated with the chimeric gene BCR-ABL1 or with one of the driver mutations in the genes JAK2, MPL and CALR (Calreticulin). However, the classifi cation of the World Health Organization lists no myeloid neoplasms with more than one driver genetic abnormality.

Aim. To search for mutations in the genes JAK2, MPL and CALR in patients with BCR-ABL1-positive chronic myeloid leukemia (CML), as well as to evaluate the kinetics of the discovered mutations during tyrosine kinase inhibitor (TKI) therapy.

Materials and methods. mRNA and DNA samples isolated from blood and bone marrow cells of 567 CML patients, who underwent periodic monitoring of the BCR-ABL1 transcript level over the 2012–2019 period were included in the study The BCR-ABL1 transcript level was determined using a highly sensitive quantitative real-time polymerase chain reaction. The mutations JAK2V617F and MPLW515L/K were detected using real-time quantitative allele-specifi c polymerase chain reaction. Mutations in the CALR gene were investigated using fragment analysis followed by Sanger sequencing.

Results. The combination of the BCR-ABL1, JAK2 and CALR gene mutations among CML patients receiving TKIs was 1.23 % (7/567). Out of these, the combination of BCR-ABL1 with JAK2V617F and the combination of BCR-ABL1 with CALR gene mutations were detected in 0.88 % (5/567) and 0.35 % (2/567) of cases, respectively. During TKI therapy, in 5 out of 7 patients, the level of BCR-ABL1 reached major molecular response (MR). In 4 of these patients, the therapy was discontinued. These patients are currently in molecular remission. In the remaining 2 patients, major MR was not achieved, despite the use of second-generation TKI preparations.

Conclusions. The combination of the BCR-ABL1 chimeric gene with gene mutations Jak2 or CALR was a rare event and amounted to 0.88 and 0.35 % of cases, respectively. The combination of BCR-ABL1 with Jak2V617F and CALR mutations does not always impede the achievement of major MR.