bluuebunny/crossref_metadata_2025 huggingface dataset:
A REVIEW OF WORD SENSE DISAMBIGUATION METHOD
Authors: Jainal Mohammad Hafizi , Saad Saidah , Abdul Kadir Rabiah
Published: September 2021

Background: Word Sense Disambiguation (WSD) is known to have a detrimental effect on the precision of information retrieval systems, where WSD is the ability to identify the meanings of words in context. There is a challenge in inference-correct-sensing on ambiguous words. Through many years of research, there have been various solutions to WSD that have been proposed; they have been divided into supervised and knowledge-based unsupervised. Objective: The first objective of this study was to explore the state-of-art of the WSD method with a hybrid method using ontology concepts. Then, with the findings, we may understand which tools are available to build WSD components. The second objective was to determine which method would be the best in giving good performance results of WSD, by analysing how the methods were used to answer specific WSD questions, their production, and how their performance was analysed. Methods: A review of the literature was conducted relating to the performance of WSD research, which used a comparison method of information retrieval analysis. The study compared the types of methods used in case, and examined methods for tools production, tools training, and analysis of performance. Results: In total 12 papers were found that satisfied all 3 inclusion criteria, and there was an anchor paper assigned to be referred. We chose the knowledge-based unsupervised approach because it has fewer word sets constraints than the supervised approaches which require training data. Concept-based ontology will help WSD in finding the semantic words concept with respect to another concept around it. Conclusion: Many methods was explored and compared to determine the most suitable way to build a WSD model based on semantics between words in query texts that can be related to the knowledge concept by using ontological knowledge presentation.
AN EFFICIENT METHOD FOR HAND GESTURE RECOGNITION USING ROBUST FEATURES VECTOR
Authors: Saif A F M Saifuddin , Mahayuddin Zainal Rasyid
Published: September 2021

Integration of technology for the Fourth Industrial Revolution (IR 4.0) has increased the need for efficient methods for developing dynamic human computer interfaces and virtual environments. In this context, hand gesture recognition can play a vital role to serve as a natural mode of interactive human machine interaction. Unfixed brightness, complex backgrounds, color constraints, dependency on hand shape, rotation, and scale variance are the challenging issues which have an impact on robust performance for the existing methods as per outlined in previous researches. This research presents an efficient method for hand gesture recognition by constructing a robust features vector. The proposed method is performed in two phases, where in the first phase the features vector is constructed by selecting interest points at distinctive locations using a blob detector based on Hessian matrix approximation. After detecting the area of the hand from the features vector, edge detection is applied in the isolated hand followed by edge orientation computation. After this, templates are generated using one and two dimensional mapping to compare candidate and prototype images using adaptive threshold. The proposed research performed extensive experimentation, where a recognition accuracy rate of 98.33% was achieved by it, which is higher as compared to previous research results. Experimental results reveal the effectiveness of the proposed methodology in real time.
A REVIEW OF FEATURE EXTRACTION METHODS ON MACHINE LEARNING
Authors: Suhaidi Mustazzihim , Abdul Kadir Rabiah , Tiun Sabrina
Published: September 2021

Extracting features from input data is vital for successful classification and machine learning tasks. Classification is the process of declaring an object into one of the predefined categories. Many different feature selection and feature extraction methods exist, and they are being widely used. Feature extraction, obviously, is a transformation of large input data into a low dimensional feature vector, which is an input to classification or a machine learning algorithm. The task of feature extraction has major challenges, which will be discussed in this paper. The challenge is to learn and extract knowledge from text datasets to make correct decisions. The objective of this paper is to give an overview of methods used in feature extraction for various applications, with a dataset containing a collection of texts taken from social media.
THE SMART WASTE MANAGEMENT SYSTEM OF SOLID WASTE MANAGEMENT IN UNIVERSITY CAMPUS
Authors: Sim Wei Jie Danial , Arshad Haslina , Tan Siok Yee , Elias Nur Fazidah
Published: September 2021

It has been a challenge for Malaysia to handle solid waste management for more than a decade. The increase in population size has led to an increase in the waste amount contributed by Malaysians. Due to that, proper solid waste management is essential in protecting the environment. There are many ways to execute solid waste management but developing countries may find it challenging to find the best way to dispose of waste efficiently. The same phenomenon seems to happen on university campuses as well. This article aims to propose a smart waste management system for university campuses. Most of the related work concentrates on detecting bin levels, despite making it a full-fledged system that comprises several modules regardless of web or mobile platform. A prototype of a smart bin is proposed, and this paper discusses its architecture and functionality. A web-based user application is also proposed in this article. With these components, the system enables the user to obtain information on the bins around them and can help the management to manage solid waste more efficiently. With the help of the Internet of Things and Cloud services, the system can achieve a greener and more sustainable campus environment. The proposed system will also be enhanced further to increase the awareness among the university students to move forward to a greener campus.
CHRONIC DISEASE MONITORING SYSTEM MODEL: STUDY ON EXISTING SYSTEM FEATURES AND TECHNOLOGIES
Authors: Abdul Haris Akmal Afiq , Mat Nayan Norshita
Published: September 2021

The aim of this study is to review the currently available health monitoring systems to search for a gap in features and technologies that are available now. We performed a systematic literature review between January 2010 and March 2020 on few journal databases such as Elsevier ScienceDirect, IEEE Xplore, CORE, and Academia. A total of 1746 records were identified. In the selection process, we found 8 papers meeting the inclusion criteria. Data drawn from the 8 papers were synthesized in this study. All of the studies were on health monitoring systems that included their features and technologies and contained a model or prototype of a system and a list of diseases that the system supports. The results in this article show that all the health monitoring systems have similar use cases for each study but utilize different methodologies and technology. The Fourth Industrial Revolution capable devices such as IoT, smart devices, sensors,s and cloud computing are the most important pieces of technology for remote monitoring patients. We found that heart and lung-related chronic diseases such as congestive heart failure (CHF) and chronic obstructive pulmonary disease (COPD) are the most in-focus chronic diseases that are currently using the health monitoring system. Based on the result, it can be seen that all of the studies on features of health monitoring systems are quite similar, with different approaches. The study was able to show us the advancement and variety of technologies used within the healthcare industry. Since this study focuses more on the features, technology, and disease listing, information on clinical trials is not included.
A PRELIMINARY SURVEY STUDY ON THE RECEPTION OF INDOOR HYDROPONICS SYSTEM FOR LOW-INCOME HOUSEHOLD IN SELANGOR
Authors: Hamdan Nurul Maisarah , Md Saad Mohamad Hanif , Mei Choo Ang
Published: September 2021

Indoor hydroponics system is gaining acceptance and traction in providing practical indoor farming capabilities for urban dwellers, including in low income housing estates. However, for the low income urban dwellers, the size of their residence might restrict the design of the indoor hydroponics system, especially in terms of available floor space. Furthermore, before one starts to develop an indoor hydroponics system, it is imperative to identify users’ preferences, in terms of the types of plants to grow, price, and design to enable the researchers to develop a better indoor hydroponics system. In this study, opinions from 53 participants on indoor hydroponics systems were obtained and analysed. Four aspects were analysed via the survey: (1) customer evaluations; (2) positive value; (3) costing; and (4) purchasing proclivity. The study shows that participants prefer to grow edible plants because of their benefits. Participants also prefer systems priced at below RM100 (60.40% of the respondent). Aloe Vera (56.6% preference) and Brazilian Spinach(49.1% preference) are two types of plants most preferred by the participants. As mentioned previously, the output of this survey will be used to guide the process of developing a suitable indoor hydroponics system for the low-income urban dwellers.
Improvement and development of the water supply and wastewater disposal systems in Samara
Authors: Бирюков В.В. , Ракицкий Д.С. , Петропавловский С.А.
Published: September 2021

Представлена информация о разработке специалистами ООО «Самарские коммунальные системы» инвестиционной программы по строительству, реконструкции и модернизации систем коммунального водоснабжения и водоотведения г. о. Самара на 2019–2023 годы в соответствии с «Концепцией развития и реконструкции систем водоснабжения и водоотведения г. о. Самара на 2018–2047 годы». ООО «Самарские коммунальные системы» с 2013 по 2019 г., за период действия государственно-частного партнерства, реализованы мероприятия по строительству, реконструкции и модернизации систем коммунального водоснабжения и водоотведения г. о. Самара на 2,15 млрд руб. За это время в Самаре обновлено оборудование на насосно-фильтровальных станциях, городских очистных канализационных сооружениях, насосных станциях подкачки и канализационных насосных станциях, переложено 65,3 км водопроводных и 34,5 км канализационных сетей. Результатом реализации инвестиционной программы будет улучшение качества и повышение надежности холодного водоснабжения, снижение технологических повреждений и аварийных ситуаций на объектах водоснабжения и водоотведения городского округа Самара, обеспечение технической возможности подключения объектов нового строительства.

Information is presented on the development by the specialists of «Samarskie Kommunal’nye Sistemy», LLC, of an investment program for the construction, reconstruction and upgrade of the municipal water supply and wastewater disposal systems in the Samara Urban District for 2019–2023 in accordance with the «Concept of Development and Reconstruction of the Water Supply and Wastewater Disposal Systems in the Samara Urban District for 2018–2047». For the period of the public-private partnership 2013–2019 «Samarskie Kommunal’nye Sistemy», LLC has implemented the program of constructing, reconstructing and upgrading the public water supply and wastewater disposal systems in the Samara Urban District worth a total of 2.15 billion rubles. During this time the equipment at the pumping filtration stations, boosting pumping stations, and at the municipal wastewater treatment facilities in Samara has been renewed; 65.4 km of the water distribution network and 34.5 km of the sewer network have been relayed. The implementation of the investment program will provide for improving the quality and reliability of the cold water supply, reducing technological damages and failures at the water supply and wastewater treatment facilities in the Samara Urban District, and ensuring the technical ability to connect new construction facilities.
Experience in introducing and operating a system of automatic water meter reading
Authors: Яковлев И.Е. , Егорова Ю.А. , Бирюков Т.В.
Published: September 2021

Рассматриваются вопросы внедрения в ООО «Самарские коммунальные системы» программного комплекса автоматического дистанционного сбора показаний с приборов учета воды и последовательность выполнения работ в этом направлении. Описаны особенности существующих в настоящее время информационных технологий передачи данных, используемых в так называемых «умных» приборах учета. Отмечены проблемные моменты внедрения подобных систем в ресурсоснабжающих компаниях и преимущества, которые могут быть получены в результате использования программного комплекса.

The issues of introducing a software package for automatic remote water meter reading and the workflow process in this respect are considered. The specific features of the currently existing information technologies for data transmission used in the so-called «smart» metering devices are described. The problem points of the implementation of such systems in resource supplying companies and the advantages that can be gained as a result of using the software package are noted.
TINGKAT KESIAPSIAGAAN MASYARAKAT DIBIDANG KESEHATAN DALAM MENGHADAPI DAMPAK ERUPSI GUNUNG BERAPI
Authors: Afik Al , Khoriyati Azizah , Pratama Ilham Yoga
Published: September 2021

Masyarakat yang tinggal di kawasan rawan bencana (KRB) gunung berapi memiliki risiko besar terdampak apabila terjadi erupsi. Dampak Kesehatan terutama dari mulai terjadinya sesak nafas akibat debu vulkanik, cedera fisik dan psikologis, luka bakar, trauma inhalasi sampai terjadinya kegawatdaruratan sehingga dapat mengakibatkan korban jiwa. Tujuan penelitian ini adalah untuk mengetahui faktor kesiapsiagaan masyarakat terutama bidang Kesehatan dalam menghadapi dampak erupsi gunung api. Deskrisi korelasional, dengan jumlah sampel 219 responden warga dusun Srunen Galagahharjo Cangkringan Sleman Yogyakarta dengan tehnik purposive sampling, data diambil dengan membagikan quisioner dengan sarana google form. Analisis kesiapsiagaan umum dan bidang Kesehatan terhadap dampak erupsi gunung api dengan analisis sperman. Tingkat kesiapsiagaan secara umum warga Dusun Srunen (KRB III) kategori baik (43%), cukup (51,6%), kurang 4,6%, tingkat kesiapsiagaan kesehatan kategori baik(23,3%), cukup(70,3%), kurang (6,4%), terdapat hubungan yang signifikan dengan nilai p value = 0,04, dengan nilai r=0,288,antara pelatihan dengan tingkat kesiapsiagaan warga. Tingkat kesiapsiagaan masyarakat dalam bidang kesehatan terhadap dampak erupsi gunung api dalam kategori cukup dan terdapat hubungan antara pelatihan bagi warga dengan tingkat kesiapasigaan masyarakat. Perlunya upaya untuk meningkatkan kesiapsiagaan warga terutama dibidang Kesehatan dengan terus secara kontinyu diadakan pelatihan-pelatihan terkait mitigasi kesiapsiagaan untuk mencegah risiko dari dampak erupsi gunung api.
SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray Images
Authors: Muhammad Usman , Hoque Md Ziaul , Oussalah Mourad , Keskinarkaus Anja , Seppänen Tapio , Sarder Pinaki
Published: September 2021

COVID-19 is a
rapidly spreading viral disease and has affected over 100 countries worldwide.
The numbers of casualties and cases of infection have escalated particularly in
countries with weakened healthcare systems. Recently, reverse
transcription-polymerase chain reaction (RT-PCR) is the test of choice for
diagnosing COVID-19. However, current evidence suggests that COVID-19 infected
patients are mostly stimulated from a lung infection after coming in contact
with this virus. Therefore, chest X-ray (i.e., radiography) and chest CT can be
a surrogate in some countries where PCR is not readily available. This has
forced the scientific community to detect COVID-19 infection from X-ray images
and recently proposed machine learning methods offer great promise for fast and
accurate detection. Deep learning with convolutional neural networks (CNNs) has
been successfully applied to radiological imaging for improving the accuracy of
diagnosis. However, the performance remains limited due to the lack of
representative X-ray images available in public benchmark datasets. To
alleviate this issue, we propose a self-augmentation mechanism for data
augmentation in the feature space rather than in the data space using
reconstruction independent component analysis (RICA). Specifically, a unified
architecture is proposed which contains a deep convolutional neural network
(CNN), a feature augmentation mechanism, and a bidirectional LSTM (BiLSTM). The
CNN provides the high-level features extracted at the pooling layer where the augmentation
mechanism chooses the most relevant features and generates low-dimensional
augmented features. Finally, BiLSTM is used to classify the processed
sequential information. We conducted experiments on three publicly available
databases to show that the proposed approach achieves the state-of-the-art
results with accuracy of 97%, 84% and 98%. Explainability analysis has been
carried out using feature visualization through PCA projection and t-SNE plots.
A Self-Attention Mechanism for COVID-19 Detection using Chest X-Ray Images
Authors: Muhammad Usman , Hoque Md Ziaul , Oussalah Mourad , Keskinarkaus Anja , Seppänen Tapio , Sarder Pinaki
Published: September 2021

COVID-19 is a rapidly spreading viral disease and has affected over 100 countries worldwide. The numbers of casualties and infected cases have been escalated particularly in vulnerable states with weakened healthcare systems. Recently, reverse transcription-polymerase chain reaction (RT-PCR) is the test of choice for diagnosing COVID-19. However, current evidence suggests that COVID-19 infected patients are mostly stimulated from a lung infection after coming in contact with this virus. Therefore, chest X-ray (i.e., radiography) and chest CT can be a surrogate in some countries where PCR is not readily available. This has forced the scientific community to detect COVID-19 infection from X-ray images and recently proposed machine learning methods offer great promise for fast and accurate detection. Deep learning with convolutional neural networks (CNNs) has been successfully applied to radiological imaging for improving the accuracy of diagnosis. However, the performance remains limited due to the lack of representative X-ray images available in public benchmark datasets. To alleviate this issue, we propose an attention mechanism for data augmentation in the feature space rather than in the data space using reconstruction independent component analysis (RICA). Specifically, a unified architecture is proposed which contains a deep convolutional neural network (CNN), an attention mechanism, and a bidirectional LSTM (BiLSTM). The CNN provides the high-level features extracted at the pooling layer where the attention mechanism chooses the most relevant features and generates low-dimensional augmented features. Finally, BiLSTM is used to classify the processed sequential information. We conducted experiments on two publicly available databases to show that the proposed approach achieves the state-of-the-art results with an accuracy of 97% and 84% while being able to generate explanations. Explainability analysis has been carried out using feature visualization through PCA projection and t-SNE plots.
Adversarial Bandit Approach for Stand Alone RIS Operation
Authors: Ahmed Ouameur messaoud , Lê Dương Tuấn Anh , Jeon Gwanggil , Figueiredo Felipe A.P. De , Massicotte Daniel
Published: September 2021

Abstract— Even though, reconfigurable intelligent surfaces (RISs) are adopted in various scenarios to enable the implementation of a smart radio environment, there are still challenging issues for its real-time operation due to the need for a costly full dimensional channel estimation with offline exhaustive search or online exhaustive beamtraining. The application of the deep learning (DL) tools is favored to enable feasible solutions. In this work, we propose two low training overhead and energy efficient adversarial bandit-based schemes with outstanding performance gains compared to reference DL based reflection beamforming methods. The resulting deep learning models are also discussed using state of-the art model quality prediction trends.
The boron-oxygen (BiOi) defect complex induced by irradiation with 23 GeV protons in p-type epitaxial silicon diodes
Authors: liao chuan
Published: September 2021

Boron removal effect
2-output Spin Wave Programmable Logic Gate
Authors: Mahmoud Abdulqader , Vanderveken Frederic , Adelmann Christoph , Ciubotaru Florin , Cotofana Sorin , Hamdioui Said
Published: September 2021

This paper presents a 2-output Spin-Wave Programmable Logic Gate structure able to simultaneously evaluate any pair of AND, NAND, OR, NOR, XOR, and XNOR Boolean functions. Our proposal provides the means for fanout achievement within the Spin Wave computation domain and energy and area savings as two different functions can be simultaneously evaluated on the same input data. We validate our proposal by means of Object Oriented Micromagnetic Framework (OOMMF) simulations and demonstrate that by phase and magnetization threshold output sensing \{AND, OR, NAND, NOR\} and \{XOR and XNOR\} functionalities can be achieved, respectively. To get inside into the potential practical implications of our approach we use the proposed gate to implement a 3-input Majority gate, which we evaluate and compare with state of the art equivalent implementations in terms of area, delay, and energy consumptions. Our estimations indicate that the proposed gate provides 33% and 16% energy and area reduction, respectively, when compared with spin-wave counterpart and 42% energy reduction while consuming 12x less area when compared to a 15 nm CMOS implementation.
Spin Wave Normalization Towards all Magnonic Circuits
Authors: Mahmoud Abdulqader , Vanderveken Frederic , Adelmann Christoph , Ciubotaru Florin , Cotofana Sorin , Hamdioui Said
Published: September 2021

The key enabling factor for Spin Wave (SW) technology utilization for building ultra low power circuits is the ability to energy efficiently cascade SW basic computation blocks. SW Majority gates, which constitute a universal gate set for this paradigm, operating on phase encoded data are not input output coherent in terms of SW amplitude, and as such, their cascading requires information representation conversion from SW to voltage and back, which is by no means energy effective. In this paper, a novel conversion free SW gate cascading scheme is proposed that achieves SW amplitude normalization by means of a directional coupler. After introducing the normalization concept, we utilize it in the implementation of three simple circuits and, to demonstrate its bigger scale potential, of a 2-bit inputs SW multiplier. The proposed structures are validated by means of the Object Oriented Micromagnetic Framework (OOMMF) and GPU-accelerated Micromagnetics (MuMax3). Furthermore, we assess the normalization induced energy overhead and demonstrate that the proposed approach consumes 20% to 33% less energy when compared with the transducers based conventional counterpart. Finally, we introduce a normalization based SW 2-bit inputs multiplier design and compare it with functionally equivalent SW transducer based and 16nm CMOS designs. Our evaluation indicate that the proposed approach provided 26% and 6.25x energy reductions when compared with the conventional approach and 16nm CMOS counterpart, respectively, which demonstrates that our proposal is energy effective and opens the road towards the full utilization of the SW paradigm potential and the development of SW only circuits.
«The limbs and the wheel»: about Coronation by Michel Deguy
Authors: Landi Michela
Published: September 2021

On 13 March 2020, in the magazine Po&sie, which he founded, Deguy published a text entitled Coronation. Here, the reading of the contingent viral situation and certain concomitant events made use of his particular interpretative lens aimed at the poetic fact: the continuous exorbitance of the verbal matter from the confined space of the text, and the 'oppugnance' between its inside and outside, as a gift and its antidote. The twofold meaning of the lemma corona (here explored with reference to the tradition and to the modern poets Baudelaire, Mallarmé and Valéry) leads us back to the double status of the virus: both evil and remedy. By overflowing its borders, the virus pervades the global world, becoming a metaphor for contemporary evils and at the same time urging the critical act. We are left, as Deguy notes in La Poésie n'est pas seule, with «that homeopathic vaccine, catalysis and apocalypse, which adds to the world its end, 'precipitates' its end, is the possibility of art».
Biological and molecular characterization of seven Diaporthe species associated with kiwifruit shoot blight and leaf spot in China
Authors: DU Yamin , WANG Xianhong , GUO Yashuang , XIAO Feng , PENG Yuhong , HONG Ni , WANG Guoping
Published: September 2021

Diaporthe species are significant pathogens, saprobes, and endophytes, with comprehensive host association and geographic distribution. These fungi cause severe dieback, cankers, leaf spots, blights, and stem-end rot of fruits on different plant hosts. This study, explored the occurrence, diversity and pathogenicity of Diaporthe spp. associated with Actinidia chinensis and A. deliciosa in the main kiwifruit production areas of China. Diaporthe isolates (284) derived from 106 diseased leaf and branch samples were examined. Multi-locus phylogenetic analyses and morphology of 43 representative isolates revealed that seven Diaporthe species were obtained, including D. alangii, D. compactum, D. eres, D. hongkongensis, D. sojae, D. tectonae, and D. unshiuensis. Pathogenicity tests were performed on kiwifruit fruits, leaves and branches. Koch’s postulates confirmed all species were pathogenic. D. alangii and D. tectonae were the most aggressive species, followed by D. eres, D. sojae, D. hongkongensis, D. unshiuensis, and D. compactum. Host range evaluation showed that the seven Diaporthe species could also infect apricot, apple, peach, pear, and plum.  This is the first report of D. alangii, D. compactum, D. sojae, D. tectonae, and D. unshiuensis infecting kiwifruit in China, increasing understanding of the Diaporthe complex causing diseases of kiwifruit plants, to assist effective disease management.
Identification of Plectosphaerella melonis from cucumber plants in Ukraine
Authors: KOPILOV Evgeniy , TSEKHMISTER Hanna , NADKERNYCHNA Olena , KYSLYNSKA Anna
Published: September 2021

A fungus was isolated from diseased roots of Cucumis sativus grown in greenhouses. The morphological and cultural characteristics of the isolate allowed it to be classified as Plectosphaerella melonis. BLASTn analysis revealed 99% homology of the ITS sequence from the isolate with 14 Acremonium cucurbitacearum and P. melonis isolates, allowing attribution of the isolate to P. melonis (syn. A. cucurbitacearum). Koch’s hypothesis requirements were fulfilled for the isolate. Symptoms on host roots developed after 14 d of growing cucumber plants on infested soil. Plants of the cucumber variety Nizhynskyi 12 were very susceptible at the two leaf growth stage (2 weeks after sowing). Above-ground disease symptoms were absent after 14 d, even with severely diseased roots. This is the first report of P. melonis on C. sativus in Ukraine.
СИСТЕМНА СУТНІСТЬ КАТЕГОРІАЛЬНИХ ПОНЯТЬ МЕХАНІЗМІВ ІННОВАЦІЙНО-ІНВЕСТИЦІЙНОГО ПОТЕНЦІАЛУ ЕКОНОМІЧНОГО РОЗВИТКУ
Authors: Глівінська Ю. В.
Published: September 2021

У статті розглянуто трактування сутності терміна «потенціал» як складного, багатоманітного поняття, що поєднує насамперед ресурси, засоби, джерела, необхідні для функціонування системи, котрі в разі реалізації можливості їх мобілізації i використання за певних умов здатні надати розвитку системи якісно нового імпульсу. Загальновідомо, що стрімкий економічний і науково-технологічний розвиток розвинених економік у другій половині ХХ ст. пов'язаний зі значною кількістю винаходів та нововведень. Поява інновацій, які суттєво вплинули на продуктивність праці та витрати виробництва, стала результатом дії науково-технічного прогресу. Відповідно, трансфер технологій, імплементація нововведень у виробництво потребують великих фінансових ресурсів, інвестицій, що й зумовлює поєднання категорій «інновації» та «інвестиції». Розкрито сутність інноваційного та інвестиційного потенціалів та описано їхні складники. Удосконалено трактування поняття інноваційно-інвестиційного потенціалу економічного розвитку на засадах сталості як здатність економічної системи за збалансованими екологічним та соціальним склaдниками розвитку до здійснення інноваційної діяльності за наявності сприятливoго інвестиційного середовища. Реалізація інноваційно-інвестиційного потенціалу неможлива без механізмів йoго формування та використання, тому, узагальнюючи підходи до трактування сутності понять «господарський механізм», «економічний механізм», «інституційний механізм», було запропоновано парадигму: механізму формування інноваційно-інвестиційного потенціалу, який визначено як систему причино-наслідкових та обернених зв’язків між усіма елементами потенціалу в усіх сферах національної економіки та різних рівнях господарювання для підвищення ефективності його застосування; механізму використання інноваційно-інвестиційного потенціалу, в основі якого лежить узгодження приватних і суспільних інтересів на основі вдосконалення нормативно-правового забезпечення, зміни економічної структури національного господарства, здійснення моніторингу діяльності суб’єктів економіки, інформаційно-аналітичного та кадрового забезпечення процесу залучення інвестиційних ресурсів, що знаходить вираз у цілях, формах і результатах їх взаємодії на всіх рівнях.
ЗАСТОСУВАННЯ КЛАСТЕРНОГО АНАЛІЗУ ДЛЯ ОЦІНКИ ІННОВАЦІЙНОГО РОЗВИТКУ СОЦІАЛЬНО-ЕКОНОМІЧНИХ СИСТЕМ
Authors: Горященко Ю. Г.
Published: September 2021

У статті надано авторське трактування дефініції «інновації» як результат поєднання інтелектуальних ресурсів та інформації у процесі надзвичайно керованих сучасними економічними законами цивілізаційних змін і, відповідно, інноваційного розвитку підприємства як керованої нинішніми економічними законами та інноваційними теоріями зміни на підприємстві. На підґрунті критичного аналізу основних положень теорій інновацій та інноваційного розвитку, інноваційних систем та авторських підходів до розуміння проблеми оцінювання інноваційного розвитку соціально-економічних систем, перш за все підприємств, обґрунтовано доцільність розроблення проведення кластерного аналізу з метою дослідження відношення інноваційного процесу та економічного зростання. Оцінку рівня інноваційного розвитку соціально-економічних систем (регіонів та промислових інноваційних підприємств) здійснено на основі методу багатовимірного статистичного аналізу (ієрархічного кластерного аналізу). У результаті проведеного дослідження за допомогою програмного забезпечення SPSS було виявлено такі групи кластерів. Перша група – з низьким рівнем інноваційного розвитку регіонів (Житомирська, Волинська, Вінницька, Тернопільська, Хмельницька, Рівненська області). До другої групи кластерів зі значними відмінностями від інших включено м. Київ (з найвищими показниками питомої ваги промислових підприємств, що займалися інноваціями; кількості працівників, задіяних у виконанні наукових досліджень і розробок; витрат на виконання наукових досліджень і розробок за видами робіт; кількості промислових підприємств, що займалися інноваціями; кількості найменувань впроваджених інноваційних видів продукції; витрат на дослідження та розробки (% ВРП)). До третьої групи кластерів потрапили м. Київ та Харківська область, четвертої – Донецька, п’ятої – Харківська та Запорізька області. Установлено відносно невисокий рівень інноваційного розвитку соціально-економічних систем (регіонів) та дуже повільне його підвищення; високий ступінь дивергенції регіонів за рівнем інноваційного розвитку; географічну зосередженість нижчого, першого, кластеру.
РОЛЬ БІЗНЕС-ПЛАНУВАННЯ В УПРАВЛІННІ ПІДПРИЄМСТВОМ
Authors: Маматова Л. Ш.
Published: September 2021

У статті розглянуто необхідність бізнес-планування для суб’єктів господарювання та роль бізнес-плану. Визначено систему зовнішніх та внутрішніх чинників впливу процес бізнес-планування. Бізнес-планування для підприємства є методом залучення фінансово-інвестиційних ресурсів та для інвесторів – підтвердженням цільового використання коштів та результативності проєкту. Зазначено, що бізнес-планування вирішує основне питання економіки у виборі успішного методу співвідношення факторів виробництва з вирішенням проблем у вичерпності ресурсів для задоволення потреб суспільства. Узагальнено цілі, яким підпорядковується розроблення бізнес-плану підприємством, та завдання бізнес-планування. За рахунок відповідності та збалансованості цілей і вигід внутрішніх та зовнішніх користувачів визначено результати, які повинно включати в себе бізнес-планування задля ефективного впровадження в діяльність підприємств. Бізнес-планування відіграє важливу роль в управлінні та формуванні стратегії розвитку підприємства, а отже, це дало можливість визначити для кожного учасника процесу бізнес-планування результативність в ефективній діяльності підприємства. Бізнес-план виконує зовнішню функцію для інвесторів та внутрішню – для бізнес-одиниці, а саме є інструментом бізнес-планування та механізмом контролю і реалізації бізнес-стратегії на підприємстві. Бізнес-планування дає змогу здійснити кількісне й якісне обґрунтування оптимального управлінського рішення, систематизувати та конкретизувати відповідності цілей і результату стратегії, визначити джерела інформації та достовірність відповідно до ситуації на підприємстві. Визначено, що ефективна структура бізнес-плану має включати в себе кількісні й якісні характеристики проєкту відповідно до вибраного результату задля його впровадження та вирішити цілу низку завдань. Роль бізнес-планування у розвитку діяльності підприємств зводиться до можливості концентрації усіх видів наявних та потенційних ресурсів для визначення системи поточних та майбутніх напрямів розвитку суб’єкта господарювання з метою створення інноваційної продукції та використання інноваційних технологій, задоволення потреб споживачів та отримання фінансових результатів.
ДЕРЖАВНО-ПРИВАТНЕ ПАРТНЕРСТВО ЯК ОСНОВА ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ ДІЯЛЬНОСТІ РЕГІОНАЛЬНИХ КЛАСТЕРІВ ЗА УЧАСТЮ МАЛИХ ПІДПРИЄМСТВ
Authors: Сидорук І. С.
Published: September 2021

У статті розглянуто організаційну структуру регіонального економічного кластера за участю малих підприємств та обґрунтовано переваги державно-приватного партнерства для учасників такого об’єднання. В умовах економічної нестабільності актуальною темою для дослідження є пошук шляхів підвищення конкурентоспроможності регіонів України. Особливої уваги потребують промислові регіони, в яких галузі спеціалізації представлені великими підприємствами із застарілими технологіями виробництва. Рушійною силою для реструктуризації економіки таких регіонів та диверсифікації діяльності підприємств є активізація малого підприємництва. Для стимулювання розвитку промислових регіонів запропоновано створення регіональних економічних кластерів у пріоритетних галузях за участю малих підприємств. Представлена організаційна структура кластера сприяє розв’язанню проблем фінансування, збуту, мінімізації ризику для суб’єктів малого підприємництва, а саме: створення єдиної науково-технологічної платформи виробництва продукції на базі світових інноваційних технологій; забезпечення сприятливих умов для безперервного оновлення виробництва, розширення спектра наявних можливостей розвитку підприємств; розвиток ефективної кооперації як між підприємствами, які є учасниками кластера, так і зі сторонніми організаціями. Перспективною основою для формування успішного регіонального економічного кластера є державно-приватне партнерство. Застосування державно-приватного партнерства під час формування регіональних економічних кластерів дасть змогу малому підприємництву отримати доступ до раніше закритих сфер економіки, збільшити можливості отримання кредитів від вітчизняних і зарубіжних фінансово-кредитних установ під державні гарантії. Перевагами участі держави у кластерних об’єднаннях на основі державно-приватного партнерства є можливість залучити приватний капітал до реалізації регіональних інвестиційних проєктів, підвищити ефективність управління об’єктами державної власності та, зекономивши власні фінансові ресурси, все ж залишитися власником активів.
Cefazolin inoculum effect among methicillinsusceptible Staphylococcus aureus isolated from patients with skin infections
Authors: Vaganova Anastasia N. , Borisenko S.V. , Nesterova E.V. , Trofimova N.N. , Litvinenko I.V. , Petunova Y.G. , Roca W.V. , Verbov V.N.
Published: September 2021

Objective.
To evaluate frequency and intensity of cefazolin inoculum effect among methicillin-susceptible staphylococci isolated from patients with skin infections.

Materials and Methods.
A total of 80 methicillin susceptible isolates of Staphylococcus aureus were identified by cefoxitin disk-diffusion test and negative results of real-time PCR for mecA gene. Inoculum effect was measured by broth microdilution test with two inocula with concentrations of 5 × 105 CFU/mL and 5 × 107 CFU/mL. The disk-diffusion test with cefoxitin was also performed. Penicillin susceptibility was determined by disk-diffusion method. Beta-lactamase blaZ gene was identified by real-time PCR.

Results.
The frequency of cefazolin inoculum effect in tested isolates was 30% which is consistent with data from different countries. The MIC values for concentrated inoculum reached CLSI breakpoint for cefazolin resistance in 2.5% of isolates. The isolates with inoculum effect and those without it had the similar MIC values for cefazolin in broth microdilution test for standard inocula and similar diameters of inhibition zone in disk-diffusion test with cefazolin. Penicillin resistance was more frequent in inoculum effect-positive isolates. Beta-lactamase activity is considered as a main cause of cefazolin inoculum effect in staphylococci. The beta-lactamase blaZ gene was identified in the majority of isolates with cefazolin inoculum effect, but it was also prevalent among inoculum effect-negative isolates.

Conclusions.
Up to 30% of MSSA isolates from skin lesions in dermatological patients from SaintPetersburg are positive for cefazolin inoculum effect. Those isolates are usually characterized by penicillin resistance. Most of the cefazolin inoculum effect-positive isolates also carry beta-lactamase blaZ gene.
EFFECT OF FLOW RATE AND TEMPERATURE ON CORROSION RATE OF CARBON STEEL PIPE IN CONDENSATE SOLUTION FROM GEOTHERMAL POWER PLANT
Authors: Nikitasari Arini , Royani Ahmad , Priyotomo Gadang , Sundjono Sundjono
Published: September 2021

The research aims to study the effect of flow rate and temperature on corrosion rate of carbon steel pipe in condensate solution from geothermal power plant. The corrosion rate in this study highlighted by electrochemical measurement. Electrochemical measurement performed in two conditions i.e stagnant and dynamic conditions.  There are three kinds of temperature used in this research : 30oC, 40oC, and 50oC. Modification of corrosion cell installed for dynamic condition with flow rate variations : 0.27 m/s; 0.6 m/s; 1 m/s; 1.5 m/s; and 1.9 m/s. It was found that corrosion rate boosts with temperature and fluid flow rate in condensate solution of geothermal power plant. The highest corrosion rate (38 mpy) obtained at 50oC and 1.9 m/s of flow rate.
ELECTROCHEMICAL POLYMORPHIC PHASE FORMATION IN METALS
Authors: Girin Oleg
Published: September 2021

The phenomenon of electrochemical phase formation in metals and alloys via a supercooled liquid state stage was discussed. Assuming the electrodeposited metal to be a product of formation and ultrarapid solidification of supercooled metallic liquid, a possibility of metastable phase formation during electrodeposition of polymorphous metals was suggested. It was anticipated that the polymorphic transition of the metal’s metastable form to the stable one occurs by shear, as does the martensitic transformation. To enable revealing an orientation relationship between grains of the two phases, a method for X-ray texture analysis of metals was developed using a combination of direct pole figures. It was established that the phase formation during electrodeposition of polymorphous metals produces metastable modifications typical of entities that crystallized from a liquid state at extremely high rates. In regards polymorphic transitions in metal electrodeposition, certain orientation relationships were observed between grains of the stable and the metastable phase, which is typical of phase transformations proceeding at extremely high rates. The results obtained provided additional arguments in favor of the phenomenon under discussion.
THE EFFECT OF MATERIAL MODELS IN THE FEM SIMULATION ON THE SPRINGBACK PREDICTION OF THE TRIP STEEL
Authors: Mulidrán Peter , Spišák Emil , Tomáš Miroslav , Majerníková Janka , Varga Ján
Published: September 2021

In this work, the influence of material models used in the FEM simulation on the springback prediction is investigated. The interest of this paper is to extend the knowledge base regarding springback predictions in numerical simulation. The springback effect of a V-shaped sheet metal part made of TRIP steel, with a thickness of 0.75 mm was investigated. The bending angle was set to 90°.  In the numerical simulation, Hill48 and Barlat yield criteria were used in combination with Ludwik's and Swift's hardening models. Achieved data from the numerical simulations were compared and evaluated with experimental test results. The experimental results showed the relation between springback and calibration force. The effect of specimen cut direction on the springback was smaller in comparison with the calibration force. The numerical results of the springback were not identical with the experimentally achieved springback values in most cases. Particularly, when a calibration force of 1 800 N was used in the simulation. The simulation results showed a good correlation between experimental and numerical results, when Hill48 and Barlat yield criteria were used in combination with Ludwik hardening law and calibration force F with the value 900 N was applied.
EFFECT OF COOLING RATE ON MICROSTRUCTURE AND HARDNESS IN GRAY CAST IRON CASTING PROCESS
Authors: Yulianto Agus , Soenoko Rudy , Suprapto Wahyono , Sonief As’ad
Published: September 2021

This study aims to investigate the thermal conditions of the molds, changes in microstructure and hardness of casting products using sand mold and permanent mold. The use of sand mold and permanent mold results in different cooling rates. Thermal analysis was performed using a thermocouple to obtain a temperature versus time curve. Metallographic observations were carried out using a Scanning Electron Microscope equipped with Energy-Dispersive X-ray Spectroscopy. The Vickers hardness test was carried out in three areas with different thicknesses. The results showed a constant temperature at 691 oC where the eutectoid phase reaction occurred. Testing with sand mold showed that cast iron with flake graphite was finer and spreader than graphite in cast iron produced by permanent mold. Meanwhile, gray cast iron from a casting process with a permanent mold has a higher hardness than gray cast iron from a casting process using a sand mold.
O PROCESSO EDUCATIVO VOLTADO PARA HIPERTENSÃO ARTERIAL SISTÊMICA E DIABETES MELLITUS PARA A PROMOÇÃO DE SAÚDE DE IDOSOS DA UNIDADE MUNICIPAL DE SAÚDE DO BENGUÍ II, BELÉM, PARÁ: RELATO DE EXPERIÊNCIA
Authors: Queiroz Renan Teixeira , Pereira Tainani Santos , Nascimento Luís Douglas Castro , Gomes Bárbara Guerreiro Américo , Dias Biatriz Araújo Cardoso
Published: September 2021

Objetivo: Relatar vivência a respeito do processo educativo em saúde voltado a hipertensão arterial sistêmica e diabetes mellitus para a promoção de saúde de idosos da Unidade Municipal de Saúde do Benguí II, Belém, Pará. Metodologia: Tratou-se de um estudo descritivo, do tipo relato de experiência, realizada por discentes do curso de Bacharelado em Odontologia e Bacharelado em Biomedicina de uma instituição de ensino superior situada no município de Belém-Pará vinculados ao Programa PET-Saúde/Interprofissionalidade do Ministério da Saúde, que promoveram ações de educação em saúde para o grupo de idosos, com o eixo temático sobre Hipertensão Arterial Sistêmica e Diabetes Mellitus, em uma Unidade Municipal de Saúde do Benguí II, Belém, Pará. Resultados e Discussões: A atenção primária à saúde possui papel fundamental na execução das atividades práticas de prevenção e promoção de saúde, para o controle de agravos, tendo em vista que a educação em saúde tem caráter significativo e positivo no cuidado do paciente promovendo a autonomia e qualidade de vida. Conclusão: A atividade de educação em saúde foi realizada como ferramenta estratégica no desenvolvimento de informação e educação sobre as temáticas propostas para o grupo de idosos, a fim promover a saúde e prevenir doenças, possibilitando a qualidade de vida.
DAILY MOTIVATION THROUGH SOCIAL MEDIA DURING PANDEMIC HAS A GOOD IMPACT ON STUDENTS' LIFESTYLES, HBA1C, AND LIPID PROFILES
Authors: Irfannuddin Irfannuddin , Zulissetiana Eka Febri , Hestiningsih Tyas , Franajaya Indra , Subandrate  , Susilawati
Published: September 2021

A school activity has been limited due to the COVID-19 pandemic. Learning from home can lead to a sedentary lifestyle. An innovative program is needed to maintain a healthy lifestyle among students at home. A study to give daily motivation via social media has been conducted to improve students' lifestyles. At once, the study measured its impact on indicators of metabolic syndrome. The overweight and obese students (n=160) were divided into intervention and control groups. Both of them received brief education and motivation to live a healthy lifestyle. Furthermore, the intervention group was given daily supportive motivation messages through the social media group, which was not given to the control group. Lifestyle indicators were measured by step count application, physical activity questionnaire, and the semi-quantitative-food frequency questionnaire. Body Mass Index, HbA1c, and lipid profile measurements were also conducted. An ANCOVA test showed that the intervention group had more daily steps and physical activity than the control (p<0.05). Calorie intake was also lower in the intervention group (p<0.05). The intervention group also had better BMI, HbA1c, and all lipid profiles (p<0.05). Daily motivation should be given to students to improve their lifestyles so that it results in positive effects on metabolic syndrome indicators.
INFLUENCES OF MATERNAL KNOWLEDGE AND SOCIO-ECONOMIC FACTORS ON DEVELOPMENT OF CHILDREN AGED 1-3 YEARS IN NHA TRANG CITY, VIETNAM
Authors: Truong Hoang Viet  , Nanthamongkolchai Sutham , Munsawaengsub Chokchai , Pitikultang Supachai
Published: September 2021

Although early childhood development (ECD) is emphasized in regulation and law, Vietnam still refers the term ECD to early childhood education and the role of parents in promoting child development is not frequently mentioned. This study aims to examine the influences of mother’s knowledge of child development and socio-economic factors on child development. We conducted this cross-sectional study in Nha Trang city, Vietnam and collected data from 296 child-mother dyads using multistage sampling. Child development is measured by Ages and Stages Questionnaire, Third Edition (ASQ-3) and completed by mothers. The results show that there were 34.1% of children reported with suspected delayed development. Inappropriate level of maternal knowledge of child development, practice to promote child development, and positive parenting practice took up 80.4%, 75.3%, and 76.0%. Results from the multiple logistic regression reveal that maternal knowledge of child development and several socio-economic factors including children’s age, and children living with both parents were significantly associated with child development. The study recommends that mothers should improve their knowledge of child development to ensure their children’s healthy development.