bluuebunny/crossref_metadata_2025 huggingface dataset:
High-Precision RTT-Based Indoor Positioning System Using RCDN and RPN
Authors: Seong Ju-Hyeon , Lee Soo-Hwan , Kim Won-Yeol , Seo Dong-Hoan
Published: May 2021

Wi-Fi round-trip timing (RTT) was applied to indoor positioning systems based on distance estimation. RTT has a higher reception instability than the received signal strength indicator (RSSI)-based fingerprint in non-line-of-sight (NLOS) environments with many obstacles, resulting in large positioning errors due to multipath fading. To solve these problems, in this paper, we propose high-precision RTT-based indoor positioning system using an RTT compensation distance network (RCDN) and a region proposal network (RPN). The proposed method consists of a CNN-based RCDN for improving the prediction accuracy and learning rate of the received distances and a recurrent neural network-based RPN for real-time positioning, implemented in an end-to-end manner. The proposed RCDN collects and corrects a stable and reliable distance prediction value from each RTT transmitter by applying a scanning step to increase the reception rate of the TOF-based RTT with unstable reception. In addition, the user location is derived using the fingerprint-based location determination method through the RPN in which division processing is applied to the distances of the RTT corrected in the RCDN using the characteristics of the fast-sampling period.
Diabetic Retinopathy Fundus Image Classification and Lesions Localization System Using Deep Learning
Authors: Alyoubi Wejdan L. , Abulkhair Maysoon F. , Shalash Wafaa M.
Published: May 2021

Diabetic retinopathy (DR) is a disease resulting from diabetes complications, causing non-reversible damage to retina blood vessels. DR is a leading cause of blindness if not detected early. The currently available DR treatments are limited to stopping or delaying the deterioration of sight, highlighting the importance of regular scanning using high-efficiency computer-based systems to diagnose cases early. The current work presented fully automatic diagnosis systems that exceed manual techniques to avoid misdiagnosis, reducing time, effort and cost. The proposed system classifies DR images into five stages—no-DR, mild, moderate, severe and proliferative DR—as well as localizing the affected lesions on retain surface. The system comprises two deep learning-based models. The first model (CNN512) used the whole image as an input to the CNN model to classify it into one of the five DR stages. It achieved an accuracy of 88.6% and 84.1% on the DDR and the APTOS Kaggle 2019 public datasets, respectively, compared to the state-of-the-art results. Simultaneously, the second model used an adopted YOLOv3 model to detect and localize the DR lesions, achieving a 0.216 mAP in lesion localization on the DDR dataset, which improves the current state-of-the-art results. Finally, both of the proposed structures, CNN512 and YOLOv3, were fused to classify DR images and localize DR lesions, obtaining an accuracy of 89% with 89% sensitivity, 97.3 specificity and that exceeds the current state-of-the-art results.
Neural Stochastic Differential Equations with Neural Processes Family Members for Uncertainty Estimation in Deep Learning
Authors: Wang Yongguang , Yao Shuzhen
Published: May 2021

Existing neural stochastic differential equation models, such as SDE-Net, can quantify the uncertainties of deep neural networks (DNNs) from a dynamical system perspective. SDE-Net is either dominated by its drift net with in-distribution (ID) data to achieve good predictive accuracy, or dominated by its diffusion net with out-of-distribution (OOD) data to generate high diffusion for characterizing model uncertainty. However, it does not consider the general situation in a wider field, such as ID data with noise or high missing rates in practice. In order to effectively deal with noisy ID data for credible uncertainty estimation, we propose a vNPs-SDE model, which firstly applies variants of neural processes (NPs) to deal with the noisy ID data, following which the completed ID data can be processed more effectively by SDE-Net. Experimental results show that the proposed vNPs-SDE model can be implemented with convolutional conditional neural processes (ConvCNPs), which have the property of translation equivariance, and can effectively handle the ID data with missing rates for one-dimensional (1D) regression and two-dimensional (2D) image classification tasks. Alternatively, vNPs-SDE can be implemented with conditional neural processes (CNPs) or attentive neural processes (ANPs), which have the property of permutation invariance, and exceeds vanilla SDE-Net in multidimensional regression tasks.
Collaborative Complete Coverage and Path Planning for Multi-Robot Exploration
Authors: Lin Huei-Yung , Huang Yi-Chun
Published: May 2021

In mobile robotics research, the exploration of unknown environments has always been an important topic due to its practical uses in consumer and military applications. One specific interest of recent investigation is the field of complete coverage and path planning (CCPP) techniques for mobile robot navigation. In this paper, we present a collaborative CCPP algorithms for single robot and multi-robot systems. The incremental coverage from the robot movement is maximized by evaluating a new cost function. A goal selection function is then designed to facilitate the collaborative exploration for a multi-robot system. By considering the local gains from the individual robots as well as the global gain by the goal selection, the proposed method is able to optimize the overall coverage efficiency. In the experiments, our CCPP algorithms are carried out on various unknown and complex environment maps. The simulation results and performance evaluation demonstrate the effectiveness of the proposed collaborative CCPP technique.
Uncertainties in Measuring Soil Moisture Content with Actively Heated Fiber-Optic Distributed Temperature Sensing
Authors: Wu Robert , Lamontagne-Hallé Pierrick , McKenzie Jeffrey M.
Published: May 2021

Actively heated fiber-optic distributed temperature sensing (aFO-DTS) measures soil moisture content at sub-meter intervals across kilometres of fiber-optic cable. The technology has great potential for environmental monitoring but calibration at field scales with variable soil conditions is challenging. To better understand and quantify the errors associated with aFO-DTS soil moisture measurements, we use a parametric numerical modeling approach to evaluate different error factors for uniform soil. A thermo-hydrogeologic, unsaturated numerical model is used to simulate a 0.01 m by 0.01 m two-dimensional domain, including soil and a fiber-optic cable. Results from the model are compared to soil moisture values calculated using the commonly used Tcum calibration method for aFO-DTS. The model is found to have high accuracy between measured and observed saturations for static hydrologic conditions but shows discrepancies for more realistic settings with active recharge. We evaluate the performance of aFO-DTS soil moisture calculations for various scenarios, including varying recharge duration and heterogeneous soils. The aFO-DTS accuracy decreases as the variability in soil properties and intensity of recharge events increases. Further, we show that the burial of the fiber-optic cable within soil may adversely affect calculated results. The results demonstrate the need for careful selection of calibration data for this emerging method of measuring soil moisture content.
Automatic Super-Surface Removal in Complex 3D Indoor Environments Using Iterative Region-Based RANSAC
Authors: Ebrahimi Ali , Czarnuch Stephen
Published: May 2021

Removing bounding surfaces such as walls, windows, curtains, and floor (i.e., super-surfaces) from a point cloud is a common task in a wide variety of computer vision applications (e.g., object recognition and human tracking). Popular plane segmentation methods such as Random Sample Consensus (RANSAC), are widely used to segment and remove surfaces from a point cloud. However, these estimators easily result in the incorrect association of foreground points to background bounding surfaces because of the stochasticity of randomly sampling, and the limited scene-specific knowledge used by these approaches. Additionally, identical approaches are generally used to detect bounding surfaces and surfaces that belong to foreground objects. Detecting and removing bounding surfaces in challenging (i.e., cluttered and dynamic) real-world scene can easily result in the erroneous removal of points belonging to desired foreground objects such as human bodies. To address these challenges, we introduce a novel super-surface removal technique for 3D complex indoor environments. Our method was developed to work with unorganized data captured from commercial depth sensors and supports varied sensor perspectives. We begin with preprocessing steps and dividing the input point cloud into four overlapped local regions. Then, we apply an iterative surface removal approach to all four regions to segment and remove the bounding surfaces. We evaluate the performance of our proposed method in terms of four conventional metrics: specificity, precision, recall, and F1 score, on three generated datasets representing different indoor environments. Our experimental results demonstrate that our proposed method is a robust super-surface removal and size reduction approach for complex 3D indoor environments while scoring the four evaluation metrics between 90% and 99%.
A Generative Adversarial Network (GAN) Technique for Internet of Medical Things Data
Authors: Vaccari Ivan , Orani Vanessa , Paglialonga Alessia , Cambiaso Enrico , Mongelli Maurizio
Published: May 2021

The application of machine learning and artificial intelligence techniques in the medical world is growing, with a range of purposes: from the identification and prediction of possible diseases to patient monitoring and clinical decision support systems. Furthermore, the widespread use of remote monitoring medical devices, under the umbrella of the “Internet of Medical Things” (IoMT), has simplified the retrieval of patient information as they allow continuous monitoring and direct access to data by healthcare providers. However, due to possible issues in real-world settings, such as loss of connectivity, irregular use, misuse, or poor adherence to a monitoring program, the data collected might not be sufficient to implement accurate algorithms. For this reason, data augmentation techniques can be used to create synthetic datasets sufficiently large to train machine learning models. In this work, we apply the concept of generative adversarial networks (GANs) to perform a data augmentation from patient data obtained through IoMT sensors for Chronic Obstructive Pulmonary Disease (COPD) monitoring. We also apply an explainable AI algorithm to demonstrate the accuracy of the synthetic data by comparing it to the real data recorded by the sensors. The results obtained demonstrate how synthetic datasets created through a well-structured GAN are comparable with a real dataset, as validated by a novel approach based on machine learning.
Assessing Visual Exploratory Activity of Athletes in Virtual Reality Using Head Motion Characteristics
Authors: Wirth Markus , Kohl Sebastian , Gradl Stefan , Farlock Rosanna , Roth Daniel , Eskofier Bjoern M.
Published: May 2021

Maximizing performance success in sports is about continuous learning and adaptation processes. Aside from physiological, technical and emotional performance factors, previous research focused on perceptual skills, revealing their importance for decision-making. This includes deriving relevant environmental information as a result of eye, head and body movement interaction. However, to evaluate visual exploratory activity (VEA), generally utilized laboratory settings have restrictions that disregard the representativeness of assessment environments and/or decouple coherent cognitive and motor tasks. In vivo studies, however, are costly and hard to reproduce. Furthermore, the application of elaborate methods like eye tracking are cumbersome to implement and necessitate expert knowledge to interpret results correctly. In this paper, we introduce a virtual reality-based reproducible assessment method allowing the evaluation of VEA. To give insights into perceptual-cognitive processes, an easily interpretable head movement-based metric, quantifying VEA of athletes, is investigated. Our results align with comparable in vivo experiments and consequently extend them by showing the validity of the implemented approach as well as the use of virtual reality to determine characteristics among different skill levels. The findings imply that the developed method could provide accurate assessments while improving the control, validity and interpretability, which in turn informs future research and developments.
Uniaxial 3D Measurement with Auto-Synchronous Phase-Shifting and Defocusing Based on a Tilted Grating
Authors: Ren Hui , Liu Yuankun , Wang Yajun , Liu Ningyi , Yu Xin , Su Xianyu
Published: May 2021

Conventional uniaxial techniques generally require shifting objects or projection grating with the assistance of a high-precision mechanical moving component. To overcome this limitation, we propose a novel uniaxial 3-D shape measurement system with auto-synchronous phase-shifting and defocusing by using a tilted and fixed projection grating. The tilted focused image plane (FIP), which is reflected by a mirror at about 90 degrees, could be shifted across the measured surface by slightly rotating the mirror within a small angle range. This procedure will simultaneously introduce the change in defocusing and phase-shifting of the fringe. The modulation curve of each point can be deciphered by Fourier fringe analysis after a sequence of fringe intensities is acquired. Since both the measured object and projection grating are fixed, the proposed method could make the measurement system more compact and flexible. Both computer simulation and experiments are carried out to demonstrate the validity of this proposed system.
24 GHz Flexible Antenna for Doppler Radar-Based Human Vital Signs Monitoring
Authors: Kathuria Nitin , Seet Boon-Chong
Published: May 2021

Noncontact monitoring of human vital signs has been an emerging research topic in recent years. A key approach to this monitoring is the use of the Doppler radar concept which enables real-time vital signs detection, resulting in a new class of radar system known as bio-radar. The antennas are a key component of any bio-radar module and their designs should meet the common requirements of bio-radar applications such as high radiation directivity and mechanical flexibility. This paper presents the design of a four-element antenna array on a flexible liquid crystal polymer (LCP) substrate of 100 μm thickness and εr of 3.35. The designed antenna array can be used with a 24 GHz bio-radar for vital signs monitoring in a non-contact manner. It features a relatively compact size of 36.5 × 53 mm2 and measured gain of 5.81 dBi. The two vital signs: breathing rate (BR) and heart rate (HR) of two human subjects are detected with relatively good accuracy using the fabricated antenna array and radio frequency (RF) output power of −3 dBm from a distance of approximately 60 cm. The effect of bending on the antenna performance is also analyzed.
Can Community-Based Social Protection Interventions Improve the Wellbeing of Asylum Seekers and Refugees in the United Kingdom? A Systematic Qualitative Meta-Aggregation Review
Authors: James Michelle L
Published: May 2021

The Sustainable Development Goals 2030 call for an end to poverty in all its forms everywhere through the adoption of integrated social protection policies. However, recent literature suggests an implicit and explicit discrimination towards asylum seekers and refugees (ASRs) in United Kingdom social policy, leading to high rates of destitution, poor health and isolation. Due to the limited nature of UK government support, many ASRs become involved with semi-formal and informal social protection. This systematic literature review synthesizes existing qualitative literature that documents the impact of these interventions on the wellbeing of adult ASRs in the United Kingdom. The literature offers useful insights into asylum seeker and refugee perceptions of wellbeing, agency, and support responsibility, and how their interaction with social protection providers constrains or enables the realization of their fundamental human needs. The findings demonstrate that government support is inadequate to meet the needs of many asylum seekers and refugees, leading to disempowerment, lack of agency and exploitation. Positive wellbeing outcomes are linked to semi-formal and informal interventions, summarized into six categories: the positive impact of volunteering; physical space and intentional gathering; practical and material support; training and skills development; solidarity, inclusion and understanding; and peer support and advice.
Trust in European Institutions in Explaining the Entrepreneurship in European Union Countries
Authors: Gawel Aleksandra , Toikko Timo
Published: May 2021

Entrepreneurship is believed to be shaped by institutions; however, the paper assumes that trust in institutions is a fundamental prerequisite for the impact of institutions on entrepreneurship. The aims of the paper are to determine (i) whether trust in European institutions affects the level of entrepreneurship in European Union countries, and (ii) whether there are any differences in this impact regarding the types of institutions and (iii) a country’s government budget size. Based on yearly panel data for 27 European Union countries in the years 2004–2019 and estimations of panel regression models, the results show that confidence in institutions is a significant factor in explaining entrepreneurship. However, institutional trust has no homogeneous effect on entrepreneurship, as the impact depends on the kind of institutions related to their functions and values as well as on the country’s characteristics in relation to the size of the government’s budget. Practical implications suggest the possibilities of supporting entrepreneurship—especially in countries with a relatively lower public redistribution—by raising the level of confidence in the European Central Bank. The originality of the paper is related to distinguishing institutional trust based on the type of institutions and the country’s characteristics of governmental budget size.
Labor paradigms expressed in a model of development and training of personnel for the productive sector
Authors: Salinas-Aguirre María del Consuelo , Hernández-Cueto Jaquelina Lizet , Yañez-Flores Sara Margarita , Emiliano-Castillo Carlos Daniel
Published: May 2021

Based on the results of an investigation “Alternatives of human development with labor qualification", attributes are extracted as inputs that the workers indicate as important in: job performance, training, human development and job reality expressed in task variability, job identity, importance of work, autonomy of functions and performance feedback. Integrated results reflect an innovative development and training scheme based on worker needs parallel to personnel administration. The integrated results reflect an innovative development and training scheme based on worker needs parallel to personnel management. Personnel development has four levels: 1st Strategic planning of work development. In this part, the organization reviews: job profiles, recruitment and selection techniques; 2nd Diagnosis of training and development needs: the employee's trajectory is evaluated from: induction, interview to visualize the worker's expectations, skills, attitudes and experience, a personalized business career design is built; 3rd Development and job training with an apprenticeship program: application in three strata: staff who make managerial decisions; employees of administrative, management and logistics services; line operators and maintenance services; 4th Context, work processes and aspects of the employee's personality, experience, work climate, type of work and level of command, nature of the work, high-performance collaborative tasks, operations management, production, technologies, etc.
Exposure of University Youth to National Project Campaigns via Media and Their Relationship to Their Attitudes towards Egyptian Economic Reforms
Authors: Ibrahim Sameh Awadalla El-Sayad
Published: May 2021

University youth is exposed to national project campaigns through digital media and their relationship to Egyptian economic reforms. The study aimed to analyze the methods used by digital media in presenting national project campaigns and find out the campaigns of national projects presented through digital media, knowing the attitudes of university youth towards Egyptian economic reforms. The study relied on the methodology of using the survey method on a sample of university youth. The study sample consisted of 400 respondents from Ain Shams University, October 6 University, Beni-Suef University. The study concluded that the most important reasons for the interest in following up the campaigns of national projects through digital media are: because they arouse feelings of belonging to the country, identify the most important national projects that affect economic growth, obtain various information about national projects within society. The most important national projects campaigns that they were exposed to through their use of digital media are the new Administrative capital projects, the New Alamein City project, the Damietta New Furniture City project, the Grand Egyptian Museum project, the Suez Canal Economic Zone project, the one and a half million acres agricultural project, the city and resort Al-Jalala.
The Role of Media Campaigns in Raising Awareness of Development Issues and Their Relationship to the Level of Anxiety in Adolescents
Authors: Ibrahim Sameh Awadalla El-Sayad
Published: May 2021

The study sought to determine the role of media campaigns in educating university youth about various developmental issues and their relationship to their level of anxiety. The study is descriptive. It relied on the survey method on a sample of 400 adolescents at Ain Shams University. The most important forms of benefiting from the follow-up of media campaigns related to development issues came to provide them with important information about development issues, give a sense of confidence in state institutions, increase the sense of responsibility towards society, follow up on current development issues, awareness and interest in them. The most important media campaigns presented on satellite channels related to development issues are health awareness campaigns (Coronavirus - C virus campaign - 100 million health campaign - breast cancer), slum development campaigns, solidarity and dignity campaign to support the needy, small and micro enterprises support campaign, payment campaigns, electronic, economic campaign (price reduction - price control), low-income support campaign (supply system - bread system), campaigns for the disabled and people with special needs. The positive aspects of media campaigns related to development issues came as follows: The presented development issues are new and consistent with the current needs of society, their goals are clear and specific, their design is innovative, they encourage positive change, they seek to meet the needs of the ordinary citizen, the celebrities involved in media campaigns, the serious development issues that It presents it through its messages, the technical methods used in presenting development issues.
Strategi Pengembangan Industri Kain Tenun EndekDi Kota Denpasar Era Revolusi 4.0
Authors: Dewi Ni Putu Nina Wartika , Lestari Ni Putu Nina Eka
Published: May 2021

Studi ini bertujuan untuk mengetahui faktor- faktor apa saja yang menjadi kekuatan dan kelemahan dalampengembangan industri kerajinan kain tenun di kota Denpasar pada era revolusi 4.0. Selain itu, studi ini juga mempunyaitujuan untuk mengetahui startegi pengembangan industri kerajinan kain tenun, sebagai bagian dari sektor UMKMpada era revolusi 4.0. Penelitian ini menggunakan pendekatan kuantitatif, dengan analisis deskriptif, melalui prosesanalisis faktor-faktor ekternal dan internal yang memperngaruhi perkembangan kain tenun endek di kota Denpasar.Penelitian ini melakukan pengumpulan data menggunakan kuesioner, observasi dan dokumentasi yang selanjutnya dianalisis dengan teknik analisis SWOT membandingkan faktor internal dan eksternal hingga dapat menentukan MatriksSWOT dan Matriks IE untuk penentuan strategi. Hasil dari penelitian ini menunjukan bahwa strategi yang sesuaidengan kondisi industri kain tenun endek berada pada kuadran satu adalah grown strategy pada matriks SWOT,sehingga mampu memaksimalkan kekuatan internal untuk mengembangkan peluang yang ada. Posisi bisnis industrykain tenun endek pada kuadran ke V dan strategi yang sesuai adalah strategi pertumbuhan dengan konsentrasi melaluiintegrasi horizontal.
DOUBLE SEAL TECHNIQUE IN THE MANAGEMENT OF VERTICAL ROOT FRACTURE
Authors: Panthangi Sindhuja , Vemisetty Harikumar , Reddy Jayaprada , Krishna Jaya Nagendra , Rajani Rajani , Sahithi Sahithi
Published: May 2021

Vertical root fracture (VRF) is one of the common etiologies for tooth loss . The usual treatment option for this clinical scenario is extraction. The
incidence of this type of fracture is higher in an endodontically treated teeth compared to a non endodontically treated tooth. As this type of fracture
usually does not present with any specic clinical signs and symptoms , it is usually difcult to diagnose and depends on the endodontist's expertise
. The aim of this case report is to suggest an alternative treatment option in conserving the tooth with vertical root fracture of a tooth that did not
undergo any root canal treatment by using novel calcium silicate based cement and reinforcement with owable composite with a successful one
year follow up.
STUDY OF SKIN CONDITION IN NEWBORN
Authors: Sajgane Avinash
Published: May 2021

Introduction: Many of the skin lesions observed in a newborn are regarded as physiological, but no sharp line divides the normal from the
abnormal. But incidence and prevalence of those conditions is not well known .
Aim: To Study incidence skin conditions or lesion in newborns and analyse the effect of maternal factors, events during pregnancy, consanguinity,
mode of delivery, maturity & birth weight of newborns.
Material and methods: A total no of 1000 neonates were examined from post-natal ward of Tertiary care hospital after taking consent from Parents
Conclusion: The commonest manifestation observed was the Mongolian spot, followed by Epstein pearl, sebaceous hyperplasia, milia, erythema
toxicum neonatorum, sucking callus, physiological desquamation, miliaria, cutis marmorata.
ANTITHROMBOTIC EFFECTS OF SULODEXIDE: A REVIEW ARTICLE
Authors: FratiMunari Alberto C. , Lecuona Nora , MajlufCruz Abraham
Published: May 2021

Objectives: To review the current knowledge regarding the mechanisms of action and the clinical indications of Sulodexide, a glycosaminoglycan
with established efcacy for the prevention of recurrent venous thromboembolism, with reduced bleeding risk. A critical review of the Methods:
literature regarding Sulodexide in several data sources between 1975 and 2020. A total of 481 articles were found and analyzed but only 21 articles
were considered for this review. Antithrombotic effects of Sulodexide include vas Results: cular endothelial protection, diminished platelet
aggregation in response to several stimuli, inhibition of plasma coagulation factors Xa and thrombin, enhancement of brinolysis secondary to
reducing PAI-1 and increasing of tPA, and decreased blood viscosity. Compared with other extended treatments, Sulodexide decreases mortality
and bleeding episodes. Due to its broad range of pleiotropic effects and mainly a Conclusions: ntithrombotic, Sulodexide has emerged as a
therapeutic option for the prevention of recurrent venous thromboembolism in subjects with high risk of bleeding, including elderly patients.
Bariatric surgery as a possible choice for therapy and prevention of pelvic floor dysfunctions
Authors: Bossi, A.C. Bossi
Published: May 2021

In our country, 10% of the population is obese; probably 20% of these subjects are affected by severe obesity (BMI >40) or by obesity complicated by diseases able to reduce life expectancy and to worsen quality of daily living. So these patients will be considered chronically ill. The rapid increase of obesity in the incoming years foresees a percentage of obese people suffering from other chronic diseases much higher than nowadays. Bariatric surgery is an effective remedy to treat those obese who have had no benefit from previous medical and nutritional treatments. Such complex surgery involves doctors of different disciplines, and requires dedicated resources. In particular, for patients (women and men) with pelvic floor diseases, there can be a significant improvement after bariatric surgery in terms of bladder and rectal function, with reduction of problems connected with continence. It is known that urinary and fecal incontinence is more prevalent in obese subjects than in non-obese population. Patients with severe obesity have an increased incidence of pelvic organ prolapsed, stress incontinence, pelvic floor disorders, difficulty with complete bladder emptying, excessive filling incontinence, and bladder irritation symptoms. On the other hand, pathological obesity can be considered an independent risk factor for urinary incontinence and bladder symptoms, but it is really a modifiable factor in case a proper weight loss can be obtained. KEY WORDS obesity; bariatric surgery; urinary incontinence; fecal incontinence
Perception of the podologist profession in Italy, by the doctor endocrinologist and metabolic area
Authors: Federici, G.
Published: May 2021

AIM The objective of this study is the evaluation of the perception and real knowledge that the doctor working in the diabetological field has of the figure of the Podiatrist. MATERIALS AND METHODS A questionnaire was distributed with 22 questions at two national events (national diabetology congress). The questions were divided into two sections: the first (1-8) for the classification of the sample of doctors and the second (9-22) to explore the relationship between diabetologist and podiatrist. The answers when not codified have been previously classified into coherent, dubious and non-coherent ones to facilitate data analysis. Only the questionnaires filled in by doctors were analyzed. The sample consists of 81 doctors with a median age of 51.6 ± 9.6 years and with a work experience of 20.7 ± 10.8 years, belonging to the metabolic endocrine area (60%) or general medicine (40%) and with a homogeneous distribution on the Italian territory (31% north, 41% center and 28% south), engaged in hospitals for 74.1% of cases and with a prevalence of women (65%). RESULTS From the questionnaires filled out by doctors it appears that the patients are not sent by the hospital podiatrist either because they are not present (66%) or because their presence is not known (42%). The same reasons why patients are not sent to podiatrists operating in the area: they are not known (40%) or there are none (40%). In most cases, collaboration with podiatrists is reserved for simple injuries (61%), this is probably related to the reduced knowledge of doctors towards the skills of this professional category. From the data it emerges that the function of the podiatrist is underestimated in 75% of the interviewees while only 62% would like a greater use in prevention and 17% in the active participation of the diabetological team. CONCLUSIONS The figure of the Podiatrist, in the current state of knowledge has proved to be very little known by the medical class, and involved only for small diseases. Furthermore, it would be desirable to update the professional profile so as to be comparable to that of other European countries. KEY WORDS podiatrist; diabetologist; diabetic foot; diabetic foot team.
Nutraceuticals, supplements and probiotics in type 2 diabetic people: what the real evidence?
Authors: Da Porto, A.
Published: May 2021

Nutraceuticals (“nutrition” and “pharmaceutical” crases) is a term coined by Dr. Stephen De Felice in 1989 and refers to the study of foods with beneficial effects on human health. A nutraceutical is therefore a food that combines nutritional components selected for their characteristics, such as high digestibility and hypoallergenicity, to the healing properties of natural active ingredients. The European Commission Concerted Action on Functional Food Science (FUFOSE) defines a “functional food” as one whose positive effect on one or more functions of the organism is such that it is relevant for improving health and/or reducing risk of disease, regardless of its nutritional effect; it must also be able to exert its effects on the amounts normally consumed with the diet. Otherwise, the “nutraceutical” is a real pharmaceutical preparation with active ingredients naturally present in food but extracted, purified, concentrated and taken in a pharmacological dose. In this discussion we will focus only on the evidence available in the literature on the use of nutraceuticals, supplements and probiotics in the prevention and treatment of type 2 diabetes mellitus. KEY WORDS nutracetuticals; supplements; probiotics; diabetes.
Pengaruh Metode Total Physical Response (TPR) Terhadap Kemampuan Kosakata Bahasa Indonesia pada Anak Usia 5-6 Tahun
Authors: Maulidia Eva Putri , Hasibuan Rachma
Published: May 2021

Tujuan dari penelitian yang dilaksanakan ialah guna mengetahui pengaruh metode Total Physical Response (TPR) terhadap kemampuan kosakata Bahasa Indonesia pada anak usia 5-6 tahun. Dimana Metode penelitiannya menggunakan pendekatan kuantitatif berjenis Quasi Experimental Design dengan desain penelitiannya Nonequivalent Control Group Design dengan dua kelompok yang digunakan yaitu kelompok eksperimen dan kontrol. Hasil penelitian validitas pretest dan posttest kedua kelompok menunjukkan semua nilai rhitung > rtabel, sehingga semua item pertanyaannya valid. Begitu pula pengujian reliabilitas memperlihatkan nilai Cronbach’s Alpha > rtabel oleh karenanya seluruh indikator dinyatakan reliabel. Dari pengujian normalitas nilai signifikansi data semua variabel < 0,05 sehingga pendistribusian data tidak normal, lalu dipakailah uji statistik Mann-Whitney guna pengujian hipotesisnya. Melalui pengujian Mann Whitney didapat nilai Asymp.Sig (2-tailed) berskor 0,000<nilai probabilitasnya 0,05 sehingga diputuskan menolak H0. Sehingga kesimpulan dalam penelitian ini adalah terdapat pengaruh metode Total Physical Response (TPR) terhadap kemampuan kosakata Bahasa Indonesia pada anak usia 5-6 tahun secara signifikan. Keberhasilan tersebut dikarenakan penerapan metode ini pada kosakata yang dikenalkan ke anak menghasilkan kemampuan anak yang dapat mempraktekkan gerakan sesuai perintah  guru, mampu memberikan respon instruksi sederhana sesuai perintah guru, dapat menyebutkan kosakata yang dilihat dari gambar, mampu menunjukkan.
Dampak Pembangunan Destinasi Wisata Mloko Sewu Terhadap Kehidupan Sosial Ekonomi Masyarakat Desa Pupus Kecamatan Ngebel
Authors: Maharani Dhinar Ayu , Hanif Muhammad , Parji Parji
Published: May 2021

Tujuan penilitian ini untuk menarangkan sejarah pembangunan destinasi wisata Mloko Sewu, pengelolaan destinasi wisata Mloko Sewu, akibat pembangunan destinasi wisata Mloko Sewu terhadap kehidupan sosial ekonomi warga Desa Pupus Kecamatan Ngebel Kabupaten Ponorogo dan akibat pembangunan destinasi wisata Mloko Sewu terhadap kehidupan sosial ekonomi warga Desa Pupus Kecamatan Ngebel Kabupaten Ponorogo serta selaku sumber belajar IPS SMP/ MTs. Penelitian ini menggunakan metode kualitatif bertabiat deskriptif. Informasi yang diperoleh dianalisis dengan metode analisa informasi interaktif model informasi Miles and Huberman. Dalam penelitian ini metode pengumpulan informasi yang digunakan penelitian merupakan wawancara mendalam, observasi serta dokumentasi. Bersumber  pada hasil penelitian bisa disimpulkan kalau pembangunan wisata Mloko Sewu berawal dari kemauan buat memperlihatkan sisi eksotisme yang terdapat di Kecamatan Ngebel. Ditemui pula kalau pengelolaan wisata Mloko Sewu seluruhnya dikelola oleh pihak pengelola Mloko Sewu tanpa terdapat sama sekali kedudukan dari pemerintahan Kabupaten Ponorogo. Akibat pembangunan destinasi wisata Mloko Sewu di Desa Pupus untuk warga antara lain pergantian mutu hidup masyarakat, peningkatan kedudukan pengelola Mloko Sewu dalam kehidupan sosial masyarakat, peningkatan pemasukan warga yang membuka usaha di dekat wisata Mloko Sewu, terciptanya peluang kerja dan dapat menimbulkan potensi penyimpangan sosial. Dampak pengembangan kawasan wisata Mloko Sewu terhadap kehidupan sosial ekonomi masyarakat dapat dijadikan sebagai sumber rujukan pembelajaran khususnya untuk tema IPS SMP/MTs kelas VII.
БЕЛКОВЫЙ ОБМЕН СТУДЕНТОВ ПРИ ВОЗДЕЙСТВИИ ГОРНОЙ ГИПОКСИИ
Authors: Анзоров В.А. , Кибиева Р.С.
Published: May 2021

В работе приводится состояние белкового обмена студентов в условиях высотной гипоксии. При низком содержании кислорода в атмосферном воздухе происходит незначительное увеличение в крови студентов общего белка, глобулинов, фибриногена, креатинина и снижение альбуминов и мочевины. Так, содержание общего белка на высоте 1600 метров, постепенно увеличиваясь, доходит у девушек до 75,9 г/л, у юношей – 80,4 г/л, а в контрольной группе – 72,8 и 77,2 г/л соответственно.
Уровень альбуминов в крови юношей и их сверстниц контрольной группы составил 46,4% и 50,4 г/л, первой – 45,6 и 50,0 г/л и второй опытной – 45,5 и 49,8 г/л.
Содержание глобулинов в крови юношей и их сверстниц на высоте 600 метров выше на 2,2 и 1,9 г/л, а 1600 – 3,7 и 4,1 г/л в отличие от уровня этих показателей на высоте 170 м. Прирост концентрации фибриногена в крови студентов в условиях горной гипоксии достигает 0,4 г/л.
Уровень мочевины в крови девушек и юношей снизился в условиях низкогорья на 0,3 и 0,2 ммоль/л, а среднегорья на 0,6 и 0,5 ммоль/л, чем на равнине. Концентрация креатинина у девушек и юношей, проживающих в Шатойском районе, увеличилась на 3,2 и 2,6 ммоль/л, а Шаройском – 6,4 и 7,4 ммоль/л, по сравнению с уровнем креатинина жителей г. Грозного.
活性炭在染料废水处理中的吸附平衡、物理化学参数及脱色效果
Authors: M Alhassan
Published: May 2021

染料和染色工业的废水构成了严重的环境威胁，引起了人们的重视。以高粱壳和玉米穗轴废料为原料制备活性炭，可制备可变比例的组成灰（1:1、1:3、3:1），方法是高粱壳和玉米穗轴在400-500℃的马弗炉中煅烧2.5小时，用HCl（1M）进行酸活化，然后用光谱仪（XRF）对其进行表征。结果表明，灰中以SiO2、Al2O3和Fe2O3为主氧化物（比例不同）。以相同接触时间、不同吸附剂投加量的染料废水为对象，考察了吸附剂对染料废水的脱色效果。结果显示，高粱壳的水分（96.80±0.56）、灰分（12.90±0.35）、pH值（6.3±0.17）、电导率（208±1.34）和容重（12.27±0.61）较高。以1:1的比例进行间歇吸附实验，得到了最佳的澄清度，其平衡吸附（Qe）最高为28.55，而1:3和3:1的平衡吸附分别为12.750和10.900。
Pemberdayaan Keluarga dalam Pendampingan Minum Obat Pasien Tuberkulosis Paru di Wilayah Pesisir Kecamatan Soropia
Authors: Misbah Sitti Rachmi , Atoy Lena , Saranani Muhaimin , Nurfantri Nurfantri , Rini Dewi Sartiya
Published: May 2021

Keluarga adalah orang terdekat yang memiliki peran penting dalam pengobatan TB Paru. Proses pengobatan dengan jangka waktu yang lama tentunya menjadi salah satu penyebab penderita TB Paru mengalami putus obat sehingga keluarga menjadi factor pendukung keberhasilan pengobatan yang dijalani oleh anggota keluarga dengan TB Paru. Berbagai upaya telah dilakukan pemerintah untuk meningkatkan pengetahuan keluarga tentang TB Paru serta pengobatannya dengan harapan keluarga mampu menjadi pendamping minum obat bagi anggota keluarga dengan TB Paru. Hal ini juga yang mendasari tim Pengabdian Masyarakat Jurusan Keperawatan Poltekkes Kemenkes Kendari untuk meningkatkan pemberdayaan keluarga dalam mendampingi pasien minum obat.
Analisa Penggunaan Perangkat Lunak dalam Mendukung Pembukuan Keuangan Sekolah
Authors: Ahmad Rafiq , Dwianika Agustine
Published: May 2021

Pembukuan dibuat agar setiap transaksi keuangan tercatat dengan baik. Penyusunan pembukuan keuangan sekolah secara konvensional atau manual, seringkali mengalami kendala, seperti kesalahan pencatatan dan perhitungan. Perkembangan tekonologi informasi dan komunikasi, menghasilkan produk digital seperti perangkat lunak untuk menjawab setiap permasalahan. Pengunaan perangkat lunak dapat menyusun pembukuan dengan mudah dan cepat. Tujuan penelitian ini, untuk menganalisa penggunaan perangkat lunak asisten dalam mendukung pembukuan keuangan di sekolah Fadilah (taman kanak-kanak, sekolah dasar, dan sekolah menengah kejuruan). Data diperoleh dengan cara observasi, dan wawancara kepada responden menggunakan teknik purposive sampling dengan memilih kriteria tertentu yaitu, kepala tata usaha, bendahara, dan staf tata usaha sekolah Fadilah. Teknik analisis data penelitian ini menggunakan teknik analisis deskriftif. Penelitian ini memperoleh hasil bahwa perangkat lunak asisten dapat membantu pembukuan sekolah, dikarenakan memiliki efektifitas dan efesiensi dalam penggunaanya.
PELATIHAN INTERNET BANKING DAN MOBILE BANKING BAGI GURU PEMASARAN SERTA PELAKU UKM DI WILAYAH SURABAYA
Authors: Devica Sadana
Published: May 2021

Internet banking and mobile banking training for marketing teachers and small and medium enterpries (SMEs) in the Surabaya region is one form of community service activities carried out by the Ubaya Polytechnic Marketing Management Study Program. This activity is carried out with the aim to provide participants with insights on how to use internet banking and mobile banking. This training was held on July 6, 2019 at Ubaya Polytechnic Campus Surabaya, which was attended by 38 participants. The method used in this training is to socialize how to use internet banking or mobile banking as a payment transaction tool that is often used today. The results achieved from this training activity are that participants can utilize existing technology, especially in the banking sector more effectively.
An overview of the quality of life of Knee osteoarthritis patients at the Surakarta Orthopedic Hospital
Authors: Rachmat Nur , Minulyo Aji Janmo , Zubaidi Alfan
Published: May 2021

ABSTRACT

Background: Osteoarthritis is a chronic degenerative disease of the joints. Functional limitations experienced by people with knee osteoarthritis are related to changes in quality of life. Knee Osteoarthritis needs to be assessed as a whole which includes several domains of quality of life, namely the domains of pain, stiffness and physical function. This study was conducted to determine the correlation between pain intensity and quality of life in patients with knee osteoarthritis.

Methods: a quantitative study using an analytic observational method with a cross-sectional approach. Population of 70 patients, a sample of 33 patients. The research was conducted in October 2020 at the Orthopedic Hospital in Surakarta City, Central Java, Indonesia. Data were collected by direct interviews to assess pain intensity based on the Numeric Rating Scale (NRS) and assess quality of life based on the Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) questionnaire. Normality test using Sapiro Wilk because the data is normaly distributed. Hipotesis test using Pearson correlation. 

Results: Age range of patients with knee osteoarthritis mostly occurred at the age of 56-60 years, women had a greater frequency of experiencing knee osteoarthritis with a frequency of 78.8%, the most incidence of knee osteoarthritis was experienced by patients with normal BMI, namely 54.5%, The results of the Pearson correlation test showed a significance value of Sig. (2-tailed) is 0.000149 <0.05, which means that there is a significant correlation between the variables between pain and quality of life. Has a positive relationship and strong relationship strength (r = 0.613).

Conclusion: There is a significant correlation between pain intensity and quality of life in patients with osteoarthritis
PERENCANAAN SISTEM PERAWATAN MESIN DUST COLLECTOR PECS ID FAN MENGGUNAKAN METODE RELIABILITY CENTERED MAINTENANCE
Authors: Fauliyadi Fauliyadi , Nalhadi Ahmad , Cahyadi Dadi , Sucipto Eko Hadi , Supriyadi Supriyadi
Published: May 2021

Dust Collector PECS ID Fan adalah fasilitas penyaring debu yang berfungsi sebagai penampung serta penyaring debu dan uap panas yang dihasilkan dari proses pembakaran produk kokas batubara. Kerusakan PECS ID Fan dapat menyebabkan mesin trip, temperatur bearing tinggi dan terjadi kebocoran media filter pada unit Dust Collector. Penelitian ini bertujuan mengetahui penyebab abnormal operation dan merancang sistem perawatan pada mesin PECS ID Fan. Penelitian ini menggunakan tahapan Reliability Centered Maintenance untuk mendapatkan model perawatan yang efektif pada PECS ID Fan. Hasil penelitian menunjukkan penyebab abnormal operation disebabkan kurangnya penerapan perawatan yang terencana. Sistem perawatan dengan menggunakan Reliability Centered Maintenance memperoleh hasil perawatan pada komponen Chamber (Cage dan Membrane Filter), Air Compressor (Pulsing Pipe) dan Cyclone Dust (Venturi Valve) mengimplementasikan tindakan Failure Finding (FF), komponen ID Fan (Motor, Coupling, Impeller dan Bearing) menerapkan tindakan Condition Direct (CD) dan sub-komponen Screw dari komponen Rotary Lock menerapkan tindakan perawatan Time Directed (TD). Reliability Centered Maintenance dapat mampu merencanakan sistem perawatan komponen peralatan berdasarkan tingkat kerusakan dan pengaruh terhadap operasi.
Do Stock Market Risk Factors Explain Mutual Fund Returns? Evidence from Saudi Arabia
Authors: Alsubaiei Bader
Published: May 2021

This paper examines the risk factors of the Saudi Arabian equity market using an extensive data set. The study demonstrates which risk factors explain mutual fund returns in the largest mutual fund market in the Middle East, a fast-growing economy and a major player in the oil market. This paper also assesses the global and emerging market risk factors. This study analyzes 256 equity funds that operated in Saudi Arabia from January 2006 to July 2017. Time series regression models (e.g., the CAPM, the Fama and French three-factor model and the Carhart four-factor model) are used. In addition, modified versions of the asset pricing models were applied by adding stock market volatility and oil market volatility. The results indicate that the single-factor model, representing the market portfolio, captures most of the mutual funds’ excess returns. Size, value and momentum factors do not enhance the explanatory power of mutual fund returns significantly. The emerging market risk factors capture a small portion of the return variations where most effects were explained by the market risk factor. In explaining these results, we emphasize the important implications for investors, academics and regulators to better understand the risk factors that drive fund returns in a fast-growing emerging market.
Komparasi Buruh Gendong di Pasar Beringharjo dan Giwangan Yogyakarta
Authors: Thofir Noflin , Qomariyah Puji , Perdana Fahmi Rafika
Published: May 2021

Penelitian ini bertujuan untuk melihat komparasi buruh gendong di Pasar Beringharjo dan Pasar Giwangan Yogyakarta. Penelitian ini dilakukan dengan metode penelitian kualitatif deskriptif. Teknik- teknik yang digunakan dalam penelitian ini adalah wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa: pertama, secara ekonomi, buruh gendong merupakan masyarakat yang menawarkan buruh gendong yang ditawarkan sangat membantu mobilitas pedagang dalam memberikan latar belakang ke bawah. Kedua, Secara pendidikan, buruh gendong hanya terdapat di SD, SMP, dan yang tidak bersekolah. Ketiga, Secara umur, buruh gendong memiliki umur hampir rata-rata yaitu mulai dari 35 tahun sampai 70 tahun, bahkan lebih, Keempat, Jasa yang pelayanan pengangkutan barang kepada konsumen, dan konsumen merasa dimudahkan dengan jasa buruh gendong. Buruh gendong selalu memanjakan dengan pasar tradisional. Buruh gendong merupakan perempuan yang berprofesi menggendong barang-barang bawaan yang berupa barang dagangan. Dan adanya ketidakadilan dalam memberikan upah terhadap pekerja. Buruh gendong hanya mendapatkan upah dari hasil gendongannya.