bluuebunny/crossref_metadata_2025 huggingface dataset:
A multi-scale method for complex flows of non-Newtonian fluids
Authors: Tedeschi Francesca ,   Department of Mathematics "Tullio Levi-Civita", University of Padua, via Trieste 63, 35131, Padova, Italy, Giusteri Giulio G. , Yelash Leonid , Lukáčová-Medvid'ová Mária ,   Institute of Mathematics, Johannes Gutenberg University of Mainz, Staudingerweg 9, 55128, Mainz, Germany
Published: November 2021

We introduce a new heterogeneous multi-scale method for the simulation of flows of non-Newtonian fluids in general geometries and present its application to paradigmatic two-dimensional flows of polymeric fluids. Our method combines micro-scale data from non-equilibrium molecular dynamics (NEMD) with macro-scale continuum equations to achieve a data-driven prediction of complex flows. At the continuum level, the method is model-free, since the Cauchy stress tensor is determined locally in space and time from NEMD data. The modelling effort is thus limited to the identification of suitable interaction potentials at the micro-scale. Compared to previous proposals, our approach takes into account the fact that the material response can depend strongly on the local flow type and we show that this is a necessary feature to correctly capture the macroscopic dynamics. In particular, we highlight the importance of extensional rheology in simulating generic flows of polymeric fluids.
High Performance Implementation of Neural Networks Learning Using Swarm Optimization Algorithms for EEG Classification Based on Brain Wave Data
Authors: Al Bataineh Ali , Jarrah Amin
Published: November 2021

EEG analysis aims to help scientists better understand the brain, help physicians diagnose and treatment choices of the brain-computer interface. Artificial neural networks are among the most effective learning algorithms to perform computing tasks similar to biological neurons in the human brain. In some problems, the neural network model's performance might significantly degrade and overfit due to some irrelevant features that negatively influence the model performance. Swarm optimization algorithms are robust techniques that can be implemented to find optimal solutions to such problems. In this paper, Grey Wolf Optimizer (GWO) and Particle Swarm Optimization (PSO) algorithms are applied for the feature selection and the training of a Feed-forward Neural Network (FFNN). The performance of the FFNN in terms of test accuracy, precision, recall, and F1_score is investigated. Furthermore, this research has implemented other five machine learning algorithms for the purpose of comparison. Experimental results prove that the neural network model outperforms all other algorithms via GWO.
GRASP-Tabu Search Algorithms for the Route Planning Problem in Spatial Crowdsourcing
Authors: Bouatouche Mourad , Belkadi Khaled
Published: November 2021

With the speedy progress of mobile devices, a lot of commercial enterprises have exploited crowdsourcing as a useful approach to gather information to develop their services. Thus, spatial crowdsourcing has appeared as a new platform in e-commerce and which implies procedures of requesters and workers. A requester submits spatial tasks request to the workers who choose and achieve them during a limited time. Thereafter, the requester pays only the worker for the well accomplished the task. In spatial crowdsourcing, each worker is required to physically move to the place to accomplish the spatial task and each task is linked with location and time. The objective of this article is to find an optimal route to the worker through maximizing her rewards with respecting some constraint, using an approach based on GRASP with Tabu. The proposed algorithm is used in the literature for benchmark instances. Computational results indicate that the proposed and the developed algorithm is competitive with other solution approaches.
Software Vulnerability Prediction Using Grey Wolf-Optimized Random Forest on the Unbalanced Data Sets
Authors: Rhmann Wasiur
Published: November 2021

Any vulnerability in the software creates a software security threat and helps hackers to gain unauthorized access to resources. Vulnerability prediction models help software engineers to effectively allocate their resources to find any vulnerable class in the software, before its delivery to customers. Vulnerable classes must be carefully reviewed by security experts and tested to identify potential threats that may arise in the future. In the present work, a novel technique based on Grey wolf algorithm and Random forest is proposed for software vulnerability prediction. Grey wolf technique is a metaheuristic technique and it is used to select the best subset of features. The proposed technique is compared with other machine learning techniques. Experiments were performed on three datasets available publicly. It was observed that our proposed technique (GW-RF) outperformed all other techniques for software vulnerability prediction.
Performance Evaluation of Machine Learning Algorithms for Stock Price and Stock Index Movement Prediction Using Trend Deterministic Data Prediction
Authors: Khanna Munish , Kulshrestha Mohak , Singh Law K. , Thawkar Shankar , Shrivastava Kapil
Published: November 2021

This experimental study addresses the problem of predicting the direction of stocks and the movement of stock price indices for three major stocks and stock indices. The proposed approach for processing input data involves the computation of ten technical indicators using stock trading data. The dataset used for the evaluation of all the prediction models consists of 11 years of historical data from January 2007 to December 2017. The study comprises four prediction models which are Long Short-Term Memory, XGBoost, Support Vector Machine ( and Random forests. Accuracy scores and F1 scores for each of the prediction models have been evaluated using this input approach. Experimental results reveal that a continuous data approach using ten technical indicators gives the best performance in the case of the Random Forest classifier model with the highest accuracy of 84.89% (average wise 83.74%) and highest F1 score of 89.33% (average wise 83.74%). The experiments also give us an insight into why a Naïve Bayes Classification model is not a suitable prediction model for the above task.
Bacteria Foraging Algorithm for Optimal Topology Construction in Wireless Sensor Networks
Authors: Bose Pitchaimanickam
Published: November 2021

Topology control is a significant method to reduce energy consumption and prolong the network lifetime. Connected Dominated Sets (CDS) are the emerging technologies to construct the energy- efficient optimal topology. Traditional topology construction algorithms are not utilized suitable optimization techniques for finding the optimum location of the active nodes in the networks. In this paper, Bacteria Foraging Algorithm (BFA) identifies the optimal location for active nodes to form the virtual backbone of the network. Residual energy and network connectivity are considered to evaluate the fitness function. The performance of the BFA is compared with other algorithms namely A3, A1, Genetic Algorithm (GA), and Gravitational Search Algorithm (GSA) algorithms for considering the performance metrics of the active nodes, residual energy, and connected sensing area coverage. Simulation results show that the proposed methodology performs well for reducing energy consumption and improving the connected sensing coverage area in the wireless sensor network.
A Comparative Study of Meta-Heuristic and Conventional Search in Optimization of Multi-Dimensional Feature Selection
Authors: Kyaw Khin Sandar , Limsiroratana Somchai , Sattayaraksa Tharnpas
Published: November 2021

Algorithmic – based search approach is ineffective at addressing the problem of multi-dimensional feature selection for document categorization. This study proposes the use of meta heuristic based search approach for optimal feature selection. Elephant optimization (EO) and Ant Colony optimization (ACO) algorithms coupled with Naïve Bayes (NB), Support Vector Machin (SVM), and J48 classifiers were used to highlight the optimization capability of meta-heuristic search for multi-dimensional feature selection problem in document categorization. In addition, the performance results for feature selection using the two meta-heuristic based approaches (EO and ACO) were compared with conventional Best First Search (BFS) and Greedy Stepwise (GS) algorithms on news document categorization. The comparative results showed that global optimal feature subsets were attained using adaptive parameters tuning in meta-heuristic based feature selection optimization scheme. In addition, the selected number of feature subsets were minimized dramatically for document classification.
A Study on Cooperative Continuous Static Games Without Differentiability Under Fuzzy Environment
Authors: Khalifa Hamiden Abd Abd El- Wahed , Alodhaibi Sultan S. , Saeed Muhammad , Rahman Atiqe Ur
Published: November 2021

In this study, a fuzzy cooperative continuous static game (PQFCCSG) with n players having fuzzy parameters in all of the cost functions and the right- hand-side of constraints is characterized. Their fuzzy parameters are represented by piecewise quadratic fuzzy numbers. The α-pareto optimal solution concept is specified. In addition, the stability sets of the first and second kind without differentiability are conceptualized and established. An illustrated numerical example is discussed for proper understanding and interpretation of the proposed concept.
Exploring the Impacts of the COVID-19 Pandemic on Algeria's Energy Used and Climate Change Based on Olduvai Theory
Authors: Allali Malika
Published: November 2021

The Death of Industrial Civilization explains how the contemporary ecological crisis within industrial society is caused by the values inherent in unlimited economic growth and competitive materialism. It demonstrates the central role and importance of electricity, and what policy makers need to do in order to ensure that current and future systems remain reliable even as they are transformed by the rise of clean energy technologies. The novel COVID19 pandemic has created an unprecedented global health and economic crisis. The result of such a scenario is that energy demand contracts by 6%, the largest in 70 years in percentage terms and the largest ever in absolute terms. The impact of Covid19 on energy demand in 2020 would be more than seven times larger than the impact of the 2008 financial crisis on global energy demand and this is what the Olduvai theory is defined by e=energy production/population. It states that the life expectancy of Industrial Civilization is less than or equal to 100 years.
The Indian Farming Community and Their Health Concerns for a Sustainable Agriculture
Authors: Chauhan Hullash , Sahoo Ashok Kumar , Mishra Debesh , Jain V. K.
Published: November 2021

The exposure of farmers to agricultural hazards and risks has been increased in their work-places with the recent developments in agricultural sectors in most of the developing countries. This higher expose may be due to the enhanced need in meeting the food as well as monetary demand of farming house-holds. The agricultural-productivity has also been reduced in developing countries because of the exposure of farmers to work-related stresses affecting their well-being. Thus, an attempt was made in this study for exploring the mental-health disorders among the farmers and the farming-community in the state of Odisha in India for undertaking possible intervention strategies by the government and competent authorities.
Some comments on Passer italiae-like of south Italy, Sicily and Malta
Authors: Massa Bruno , Borg John , Tagliavia Marcello
Published: November 2021

The authors summarize the results obtained over a period of about 150 years by various authors on the taxonomic position of Sparrows present in southern Italy, Sicily and Malta, identified on several occasions as Passer italiae, P. hispaniolensis or as hybrids of the two species. Based on the latest research and the analysis of the genome of the sparrows of Corsica, Crete, southern Italy, Sicily and Malta, it appears that it has finally been possible to establish that these populations possess a different degree of hybridization between P. italiae and P. hispaniolensis, with less genes of P. hispaniolensis in northern regions and more in southern ones. Therefore, the authors propose to name these populations Passer italiae x hispaniolensis.
Successful Application of Ultrasonic Therapy
Authors: Stuhflauth K.
Published: November 2021

No abstract available.
Physiotherapy and the South African Bantu
Authors: Ellis Margaret
Published: November 2021

No abstract available.
Newer Aspects in Orthopaedic Surgery
Authors: De Wet I. S.
Published: November 2021

No abstract available.
ISOLASI DAN IDENTIFIKASI Vibrio parahaemolyticus PADA UDANG VANAME (Litopenaeus vannamei) PENYEBAB PENYAKIT VIBRIOSIS
Authors: Siregar Toibbullah , S Bambang Hendra , Syafitri Emmy
Published: November 2021

Penelitian ini bertujuan sebagai informasi yang berkaitan dengan isolasi identifikasi Vibrio parahaemolyticus yang dilakukan sebagai langkah dalam menjamin keamanan pangan hasil perikanan sehingga aman untuk di konsumsi. Penelitian ini dilakukan dengan metode ISO/TS 21872-1:2007 langkah yang dilakukan yaitu pre enrichment dengan menggunakan sampel sebanyak 25gram yang dilarutkan dengan menggunakan alkaline saline peptone water 225ml, lalu diinkubasi selama 6jam dengan suhu 41,50C sedangkan untuk sampel segar memerlukan waktu±1 jam, selanjutnya enrichment dengan suhu 41,5 0C selama 18 jam ± 1 jam, selanjutnya dilakukan isolasi serta identifikasi dengan menggunakan media Thiosulfate Citrate Bile Salts Sucrose (TCBS), lau dilakukan inkubasi pada suhu 37 0C selama 24 jam ± 3 jam, setelah itu dilakukan pengamatan dengan ciri-ciri koloni pada V. parahaemolyticus lembut warna hijau (sukrosa negatif) dengan diameter 2-3mm, dan dilakukan uji biokimia dengan melakukan inokulasi pada koloni dengan menggunakan media saline nutrient agar,lalu dilakukan pemeriksaan uji biokimia. Hasil penelitian dari pemeriksaan sampel yang dilakukan di laboratorium Stasiun Karantina Ikan Pengendalian Mutu dan Keamanan Hasil Perikanan Medan II (SKIPM) dapat disimpulkan bahwa dari 7 sampel yang di uji tidak ada yang menunjukkan hasil positif bakteri Vibrio parahaemolyticus dari sampel laut, untuk media dan reagen uji yang digunakan benar dan sesuai dengan pengujian pada kontrol positif bakteri Vibrio parahaemolyticus
PENGARUH CAMPURAN TEPUNG KEPALA UDANG PADA PAKAN BUATAN TERHADAP PERTUMBUHAN DAN KELANGSUNGAN HIDUP BENIH IKAN LELE SANGKURIANG (Clarias gariepinus)
Authors: Pertiwi Retno Juli , Siswoyo Bambang Hendra , Hasan Uswatul
Published: November 2021

Penelitian ini bertujuan untuk mengetahui pengaruh campuran tepung kepala udang pada pakan buatan terhadap pertumbuhan dan kelangsungan hidup ikan lele sangkuriang (Clarias gariepinus). Penelitian ini dilaksanakan di P2MKP (Pusat Pelatihan Mandiri Kelautan dan Perikanan) Dian Aquatik Indonesia Kelurahan Baru Ladang Bambu Kecamatan Medan Tuntungan. Metode penelitian yang digunakan adalah metode eksperimen acak lengkap dengan 4 taraf perlakuan dan 3 kali ulangan. Hasil analisis variansi memperlihatkan bahwa perlakuan pemberian tepung kepala udang berpengaruh sangat nyata terhadap pertumbuhan benih ikan lele dan tidak berpengaruh nyata terhadap kelangsungan hidup benih ikan lele. Hasil penelitian selama 28 hari menunjukkan bahwa pertambahan panjang dan berat tertinggi terdapat pada perlakuan P4 memberikan pengaruh yang signifikan dengan rata-rata pertambahan panjang 3,13 cm dan berat sebesar 8,6 gram. Tingkat kelulusan hidup ikan yang paling tinggi terdapat pada perlakuan P1 yaitu sebesar 88,8%. Nilai rasio konversi pakan yang terendah adalah pada perlakuan P4 yaitu sebesar 0,4 dan parameter kualitas air yang diukur pada saat penelitian adalah suhu dan pH, dengan kisaran suhu 25-30 ºC dan pH 8.
Cryptanalysis of Efficient Masked Ciphers: Applications to Low Latency
Authors: Beyne Tim , Dhooghe Siemen , Moradi Amir , Rezaei Shahmirzadi Aein
Published: November 2021

This work introduces second-order masked implementation of LED, Midori, Skinny, and Prince ciphers which do not require fresh masks to be updated at every clock cycle. The main idea lies on a combination of the constructions given by Shahmirzadi and Moradi at CHES 2021, and the theory presented by Beyne et al. at Asiacrypt 2020. The presented masked designs only use a minimal number of shares, i.e., three to achieve second-order security, and we make use of a trick to pair a couple of S-boxes to reduce their latency. The theoretical security analyses of our constructions are based on the linear-cryptanalytic properties of the underlying masked primitive as well as SILVER, the leakage verification tool presented at Asiacrypt 2020. To improve this cryptanalytic analysis, we use the noisy probing model which allows for the inclusion of noise in the framework of Beyne et al. We further provide FPGA-based experimental security analysis confirming second-order protection of our masked implementations.
CFNTT: Scalable Radix-2/4 NTT Multiplication Architecture with an Efficient Conflict-free Memory Mapping Scheme
Authors: Chen Xiangren , Yang Bohan , Yin Shouyi , Wei Shaojun , Liu Leibo
Published: November 2021

Number theoretic transform (NTT) is widely utilized to speed up polynomial multiplication, which is the critical computation bottleneck in a lot of cryptographic algorithms like lattice-based post-quantum cryptography (PQC) and homomorphic encryption (HE). One of the tendency for NTT hardware architecture is to support diverse security parameters and meet resource constraints on different computing platforms. Thus flexibility and Area-Time Product (ATP) become two crucial metrics in NTT hardware design. The flexibility of NTT in terms of different vector sizes and moduli can be obtained directly. Whereas the varying strides in memory access of in-place NTT render the design for different radix and number of parallel butterfly units a tough problem. This paper proposes an efficient conflict-free memory mapping scheme that supports the configuration for both multiple parallel butterfly units and arbitrary radix of NTT. Compared to other approaches, this scheme owns broader applicability and facilitates the parallelization of non-radix-2 NTT hardware design. Based on this scheme, we propose a scalable radix-2 and radix-4 NTT multiplication architecture by algorithm-hardware co-design. A dedicated schedule method is leveraged to reduce the number of modular additions/subtractions and modular multiplications in radix-4 butterfly unit by 20% and 33%, respectively. To avoid the bit-reversed cost and save memory footprint in arbitrary radix NTT/INTT, we put forward a general method by rearranging the loop structure and reusing the twiddle factors. The hardware-level optimization is achieved by excavating the symmetric operators in radix-4 butterfly unit, which saves almost 50% hardware resources compared to a straightforward implementation. Through experimental results and theoretical analysis, we point out that the radix-4 NTT with the same number of parallel butterfly units outperforms the radix-2 NTT in terms of area-time performance in the interleaved memory system. This advantage is enlarged when increasing the number of parallel butterfly units. For example, when processing 1024 14-bit points NTT with 8 parallel butterfly units, the ATP of LUT/FF/DSP/BRAM n radix-4 NTT core is approximately 2.2 × /1.2 × /1.1 × /1.9 × less than that of the radix-2 NTT core on a similar FPGA platform.
COMPUTATIONAL VS. IN VITRO APPROACH TO PREDICT AERODYNAMIC PERFORMANCE OF DRY POWDERS FOR INHALATION
Authors:   University of Belgrade, Faculty of Pharmacy, Ignjatović Jelisaveta , Šušteršič Tijana , Cvijić Sandra , Bodić Aleksandar , Đuriš Jelena , Đuriš Jelena , Filipović Nenad ,   University of Kragujevac, Faculty of Engineering
Published: November 2021

Computational fluid dynamics (CFD) coupled with discrete phase modeling (DPM) appeared as an alternative approach to the commonly used in vitro methods for the assessment of dry powders for inhalation (DPI) aerodynamic properties. The aim of this study was to compare the parameters that describe DPI aerodynamic performance, obtained computationally by CFD-DPM and in vitro by next generation impactor (NGI). The analyzed parameters included: emitted fraction (EF), fine particle fraction (FPF), mass median aerodynamic diameter (MMAD) and geometric standard deviation (GSD). The results showed that CFD-DPM simulated EF values were generally comparable to the NGI obtained values, but there were some differences between the results obtained by these two methods. On the other hand, CFD-DPM predicted MMAD values were almost twice bigger than the NGI determined values, while the predicted GSD values were lower than NGI obtained values. In addition, CFD-DPM predicted values indicated larger differences between MMAD for different formulations in comparison to the NGI results. The largest difference between CFD-DPM and NGI results was observed for FPF values. Namely, CFD-DPM predicted FPF values were markedly lower than the NGI determined values for four of five tested formulations. Overall, although the designed CFD-DPM model and NGI measurements provided comparable data on the DPI EF values, the other relevant parameters obtained by these two approaches largely diverged indicating the need for further refinement of computational models to fully capture DPI aerodynamic performance.
POTENTIALLY TOXIC ELEMENTS IN LOWLAND GREAT MORAVA RIVER – BIOINDICATION WITH BLEAK (ALBURNUS ALBURNUS)
Authors:   University of Kragujevac, Institute for Information Technologies, Milošković Aleksandra , Kojadinović Nataša , Radenković Milena , Đuretanović Simona , Veličković Tijana , Nikolić Marijana , Simić Vladica
Published: November 2021

The utilization of fish bioindicators has become of crucial importance for ecosystem contamination assessment. Bleak (Alburnus alburnus) is a widely distributed epipelagic fish species characterized as very active with fast metabolism which can lead to a high accumulation of pollutants in tissues. Bleak is easy to sample, identify in the field by morphological characteristics, and easy to work within the laboratory. This study deals with the bleak sensitivity in detecting the pressure of the potentially toxic elements (PTEs) in the large lowland Great Morava River. The Al, As, Cd, Co, Cr, Cu, Fe, Hg, Mn, Ni, Pb, Se, Sn, and Zn were estimated in whole body composite (wbc) of bleak. The study was conducted at Great Morava River, near the city of Paraćin in Serbia. The highest concentrations of essential elements Zn and Fe were detected. The most toxic elements As and Hg were below detection limits. The metal pollution index (MPI) was 0.39. In large lowland rivers, point sources of pollution such as municipal wastewaters of smaller settlements usually have only local impact due to high dilution by the main watercourse. Since bleak is a site-specific species, results in this study indicated that this stretch of the Great Morava River is slightly affected by PTEs. None of the elements above the maximum permitted concentrations (MPC) in fish meat for use in the human diet, prescribed by the Official Gazette and European Commission Regulation, were not recorded.
UNDERSTANDING EFFECT OF LASER SPEED AND FORMULATION FACTORS ON PRINTABILITY AND CHARACTERISTICS OF SLS IRBESARTAN TABLETS- APPLICATION OF DECISION TREE MODEL 2021ICCBIKG (2021)
Authors:   Faculty of Pharmacy, University of Belgrade, Madžarević Marijana , Ibrić Svetlana
Published: November 2021

Selective laser sintering (SLS) is a rapid prototyping technique for the production of 3D objects through selectively sintering powder-based layers materials by combinations of energy from the laser beam and the heated chamber of the printer. The aim of the study was to investigate the effect of laser speed and formulation factors on printability and characteristics of SLS irbesartan tablets. Physical mixtures of hydroxypropylmethylcellulose (46-91%), Candurin® Gold Sheen (3%), colloidal silicon dioxide (1%), and irbesartan (5%) were prepared. Afterward, crospovidone (1-5%), Kollidon®VA 64 Fine (20%), and/or lactose monohydrate (20-45%) were added. Sintratec Kit SLS printer (Sintratec AG, Switzerland) was used for printing tablets. The decision tree model was applied to classify printability factors. Characterization of tablets was done in terms of physicochemical, mechanical and biopharmaceutical characteristics. Correlation between formulation factors, laser speed, and printability was obtained using decision tree model with an accuracy of 80%. FTIR results revealed that there was no interaction between irbesartan and applied excipients. DSC indicated that irbesartan was present in an amorphous form in printed tablets. It was observed that laser speed had a negative effect on weight. Tuning the drug release by laser speed was possible although lactose monohydrate reduced its impact because it was required higher energy for the sintering process. Results suggest that decision tree could be useful tool for predicting the printability of pharmaceutical formulations. Tailoring characteristics of SLS irbesartan tablets by laser speed is possible, however, it needs to be governed by the composition of the whole formulation.
EFFECT OF HUMIC AND FULVIC ACIDS ON MICROBIAL GROWTH
Authors:   State University of Novi Pazar, Department for biomedical sciences, Radulovic Milanka , Mitrovski Svetlana
Published: November 2021

Peat is a natural substrate for growth of microorganisms because it is rich in compounds that microorganisms can use as sources of carbon, nitrogen and growth factors. Peat originating from Vlasina lake in Eastern Serbia is especially rich in organic matter. The content of humic substances (humic acid, fulvic acid and humine) is almost twice that found in other peat-rich regions of similar origin and geochemical age. Humic and fluvic acids are known to promote microbial growth. In this work, humic and fulvic acids were first extracted from Vlasina lake peat and then added to minimal medium (synthetic, low ionic strength medium). The humic substances were added separately and combined in a 1:1 ratio by mass to study their individual and combined effect on microbial growth of Escherichia coli ATCC 25922 (Gr–), Staphyloccocus aureus (Gr+) i Aureobasidium pullulans, strain CH-1. The microbial growth was measured microspectrophotometrically over a 24-hour period and growth curves were obtained for a range of acid concentrations between 25 µg cm-3 and 100 µg cm-3. It was found that both humic and fulvic acids promote the growth of all three microorganisms by up to a maximum of 40%-80% the extent of which varied with the concentration of the acid and the identity of the microorganism. In general, humic acid was found to result in higher microbial growth (at highest concentrations, up to ~80% for all three microbial species).
The Role And Importance of The Formation of The Middle Class In The Development of Society
Authors:   Researcher of the National University of Uzbekistan Tashkent, Uzbekistan, Berdiev Bobir R.
Published: November 2021

In the article, the author examines the criteria for determining the social middle class and theoretical and methodological approaches to the study of this topic, and also conducts a comparative analysis of approaches to determining the social middle class. The main criteria in general and specific approaches to the study of the problem are investigated.
The role of G.N. Speransky as a representative of medical academic science in the formation of the historical and cultural heritage of Kuban and Adygea
Authors:   Kuban State Medical University of the Ministry of Health of Russia, Redko A.N. , Romantsov V.V. , Bochkareva A.S. , Khotina Yu.V. ,   Kuban State Technological University, Veselova D.V.
Published: November 2021

The current stage of development of the Russian society is characterized by a sharp increase in the role of the medical intelligentsia and academic science of the Kuban and Adygea in the formation of the historical and cultural heritage. The research also has historiographic significance. In recent decades, there has been a sharp increase in interest in the problem of historical and cultural heritage, however, in general, its development is fragmentary, which makes the task of a comprehensive study of the problem urgent. The relevance of the topic is also proved by the fact that its consideration makes it possible to comprehend thoroughly the broader problems of domestic natural science and humanitarian cultures. The research is based on a combination of different methods. The use of a systematic approach, which made it possible to carry out a comprehensive study of the role of G.N. Speransky, as a representative of medical academic science in the formation of the historical and cultural heritage of the Kuban and Adygea was of fundamental importance. The regional aspect of the investigated problem predetermined its consideration from the standpoint of the methodology of local history. The need to give the study a logical and structural integrity led to the application of the problem-chronological method. The purpose of the research is to study the role of medical intelligentsia in creation and preservation of the historical and cultural heritage of both the subjects of the Russian Federation and the entire state that by considering the activities of the famous doctor G.N. Speransky and his contribution to the development of the child health care system and academic medicine. It has been concluded that G.N. Speransky made an invaluable contribution to the development of the doctrine of a newborn child and the organization of a neonatological service in the country, and also laid the foundations for this direction of medicine in the Kuban and Adygea. New progressive processes in the development of domestic medicine became the evidence of the growth of academic medicine and the formation of new cultural needs.
DÖNEL ÇARKLI BİR DOLAYLI EVAPORATİF SOĞUTMA SİSTEMİNİN GELİŞTİRİLMESİ VE DENEYSEL OLARAK İNCELENMESİ
Authors: ARICA Sena Özlem , HORUZ İlhami
Published: November 2021

Bu çalışmada dolaylı evaporatif soğutma sistemi kullanılarak bir mekanın soğutulmasını sağlayan bir sistemin geliştirilmesi ve deneysel analizi yapılmıştır. Dış ortamdan fan ile üflenen taze ve sıcak hava, iç ortamdan fan yardımıyla emilen serin iç hava ile belli oranlarda karıştırılarak, özgün olarak tasarımı yapılmış olan dönel çarkın dışına üflenmektedir. İç ortamdan gelen iç ortam havası dönel çarkın içine girmeden önce nemlendiriciler vasıtasıyla nemlendirilerek doğrudan evaporatif soğutma vasıtasıyla nemlendirilerek soğutulmaktadır. Dolayısıyla dönel çark; içinden geçen iç ortam havası ile dışından geçen taze hava arasında bir eşanjör görevi görerek iki havanın karışmadan aralarında ısı transferi gerçekleşmesini sağlar. Dönel çarkın dışından soğuyarak geçen karışım havası, çapraz akışlı hava eşanjörüne girerek, ikinci kez nemlendirilerek soğuyan iç ortam havası ile tekrar soğutulur. Bu sayede odanın konfor koşullarına gelmesi sağlanır. Yapılan deneyler sonucunda; en yüksek COP değerinin % 20 taze hava, % 80 iç ortam havası karışımı yapılması durumunda elde edilebileceği gözlenmiş olup, 2,72 değerine ulaşılmıştır. Ulaşılan COP değeri teorik olarak hesaplanan değerden düşük olsa da sızdırmazlık ve yalıtım tam anlamıyla sağlanabilirse COP değerinin çok daha yüksek olacağı açıktır.
THE VARIATIONS OF THE EXHAUST EMISSIONS AT LOW AMBIENT TEMPERATURE FOR E10 AND M10 FUELED SI ENGINE
Authors: TOPGÜL Tolga , CINAR Can , OZDEMIR Onur
Published: November 2021

Biomass fuels are important alternatives to conventional energy sources such as petroleum-based fuels. Biomass fuels especially alcohols have been used in passenger cars. Alcohol blends with gasoline constitute a general use. Particularly, modification of the engine is not required when using at low rates, like gasohol. Gasohol consists of a mixture of gasoline and especially ethanol, and it contains generally 10 percent alcohol. This study deals with the effect of the usage of low alcohol containing (10% ethanol or 10% methanol) blends on the exhaust emissions caused by an SI engine in the 600 seconds of the engine’s operating period from the cold start-up. According to the experimental results, the leaning effect of alcohol on the emissions is clearer in the initial 150 seconds of the experiments. The engine-out CO emissions decreased on average 34.5% for E10 fuel and 44.8% for M10 fuel compared to unleaded gasoline. Also, in the first 150 seconds, an average reduction of 23.2% E10 fuel and 25% M10 was observed in HC. When it comes to the engine-out NO, there were no significant differences by fuel type. Besides, in the study, the tailpipe emissions and converter efficiency were examined by heating the catalytic converter without changing other experimental conditions. Emissions were significantly reduced in all fuels, while efficiency reached 100%, especially for CO emissions.
Social reinsertion of former detainees: Between perception and attitude
Authors: Sandu Mihaela , Calin Mariana Floricica , Constantin Marius
Published: November 2021

It is known that at the level of each society there are manifestations of violation of the rules, the rules that can take the form of deviance. Individuals who violate these rules, legally commit crimes. Successful crime prevention strategies must address the factors that contribute to the large number of crimes committed by individuals who have served a term of imprisonment and have failed, after release, to integrate into the community as law-abiding citizens. I chose to carry out this research because the community, the society belongs to everyone, therefore both I and my family, friends and relatives are directly affected by the present criminal phenomenon. The aim of the paper is to raise public awareness about the situation of those who have been deprived of their liberty in their quest to be among us again, how we can help them and implicitly us, in this difficult process of social reintegration. Awareness of the perception of the population regarding the reintegration of former detainees, of the difficulties encountered by them in trying to return to a fair life is a significant element in forming / changing attitudes towards them, a reintegrated person, a gain for the community. We do not live alone, isolated, therefore thousands of people released from prisons in just a few months live among us trying to survive in an environment often hostile so that there are many cases in which they relapse involving high costs both financial and psychosocial for the belonging community. The research was conducted in a difficult time for the whole world, when tens of thousands of people lost their jobs and socialization was drastically reduced with still uncertain prospects for the future but people were open to answering questions even if they themselves need social reintegration, although they have not served a legal sentence of deprivation of liberty. However, this pandemic context has brought a global awareness of the effects of deprivation of liberty, with psychological effects being present in a significant proportion of a large part of the population.
Adaptive Governance Features from Stakeholder Issues in Lake Limboto Management
Authors: Akbar Muh. Firyal , Alwi Alwi , Indar Nur Indrayati Nur , Abdullah Muhammad Tang
Published: November 2021

This study aims to examine adaptive governance aspects of the issues from each stakeholder related to the management of Limboto Lake. The implementation of this research uses a qualitative deductive approach. The types of research that will be used are descriptive and explanative types. Sources of data from this research, namely documents and archival records grouped into documentation sources, interviews sourced from people/informants, and direct observation, observation of the role of physical devices grouped in observation sources, and Focus Group Discussions (FGD). The results of this study indicate that efforts to revitalize, rehabilitate and conserve are, of course, not the task of the Government alone but require the participation of the community in them. Conditions of good synergy between the Government, the community and the private sector in efforts to save and manage Lake Limboto are desirable, this is also in line with the achievement of the objectives of adaptive governance in terms of resilience to rapid and unpredictable environmental changes.
PATOLOGIA NAS FUNDAÇÕES DE ESTRUTURAS DE CONCRETO: GÊNESE DAS FISSURAS NAS ESTRUTURAS
Authors: Batiston Kamilla Nayara , Filho Walter Gonçalves Ferreira
Published: November 2021

Atualmente, com a tecnologia disponível, os problemas patológicos das estruturas de concreto armado são tratados com maior precisão. Esse tipo de contratempo nem sempre é motivado por desgaste pelo tempo de uso da construção. Às vezes ocorre devido a falhas durante as fases da obra: no projeto, na execução ou na posterior utilização quando concluída. Entender e saber diagnosticar o problema patológico no concreto armado é tão necessário quanto saber evitar que o desgaste aconteça. Este trabalho teve como objetivo conhecer as principais causas que dão origem a essa adversidade, tanto quanto saber sobre a natureza do defeito que pode comprometer toda uma estrutura. Esse conhecimento específico adquirido através de consulta bibliográfica, sobre os processos destrutivos e sobre equipamentos e técnicas de observação, visa facilitar um diagnóstico sobre a maioria dos problemas patológicos. É fundamental para o profissional da área saber sobre as medidas preventivas no desenrolar do projeto, assim como a forma de aplicação de medidas saneadoras se o problema acontecer.
CONTRIBUIÇÃO DA ENFERMAGEM NOS CUIDADOS RELACIONADOS A CATETERISMO VENOSO PERIFÉRICO EM NEONATOS INTERNADOS EM UNIDADES DE TRATAMENTO INTENSIVO
Authors: Santos Allan Bruno Alves de Sousa , Paixão Caroline Milanez , Lima Edla Nayara da Silva , Oliveira Gerson Pedroso de , Silva Alex de Souza , Louzada Matheus Augusto da Silva Belidio , Sales Larissa Nunes dos Santos , Lima Ariane Garcia Pacheco de , Arruda Maria Dhescyca Ingrid Silva , Aguiar Joycianne Ramos Vasconcelos de , Pardelhas Maria Eduarda de Barros , Dornelles Cristian , Evangelista Natali Maria Chagas , Alves Winícius de Carvalho , Walder Ericka Esteves
Published: November 2021

A referida pesquisa objetiva-se pela identificação dos cuidados de enfermagem relacionados a punção venosa periférica em pacientes neonatais internados em unidades de tratamento intensivo. Trata-se de uma revisão da literatura do tipo integrativa, realizada entre os meses de setembro a 25 de outubro de 2021, através das bases de dados Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Base de Dados de Enfermagem (BDENF), o portal Scientific Electronic Library Online (Scielo), Medical Literature Analysis and Retrievel System Online (MEDLINE) e PubMed. Utilizado os Descritores em Ciências da Saúde (DeCS) e cruzados com o operador booleano “AND”: Cuidados de enfermagem AND cateterismo periférico AND Neonatos AND Unidade de terapia intensiva (juntos e separados). Foram usados 10 estudos para construção da discussão da pesquisa. A equipe de enfermagem é fator crucial no cuidado a pacientes neonatais em Unidades de Terapia Intensiva, adotando práticas e planejamentos que visam segurança e qualidade de internação em relação a inserção, cuidado e remoção do PICC. Além disso, o referente estudo serve de influência para o desenvolvimento de novas pesquisas nessa temática.
https://www.ijherjournal.com/journaldetail/strategic-behaviour-in-the-service-of-comprehension-of-texts-in-frensh-as-foreign-language_120#:~:text=STRATEGIC%20BEHAVIOUR%20IN%20THE%20SERVICE%20OF%20COMPREHENSION%20OF%20TEXTS%20IN%20FRENSH%20AS%20FOREIGN%20LANGUAGE
Authors: BOUBIR Naouel
Published: November 2021

This article proposes to emphasize the importance of strategies in the construction of meaning by reading in French as a foreign language. To this end, we have chosen to use the data collected as part of the «French language improvement» course for 3rd year students with a Bachelor’s degree in Translation at Badji Mokhtar University in Annaba. Our doctoral research aims to describe the strategies of understanding by these adult readers while trying to verify how they proceed to overcome their difficulties‎. Keywords: Reading, Frensh As Foreign Language, Comprehension, Strategies, Text.
HEBB'S THEORY OF LEARNING IN COGNITIVE NEUROSCIENCE
Authors: ALGHAFRI Ali Salim Rashid
Published: November 2021

Donald Hebb who is the founder of theory of learning behavior from the perspective of cognitive neuroscience based on the cell assembly. Where he explained the occurrence of learning through the Hebb's synapse, which explained the mechanism of interaction and connection between synaptic cells, and the activity that occurs between them to produce learning and related thinking and memory. Also, how the induce that occurs between the cell assembly in the Hebb's synapse has a significant role to understand learning and associated skills, abilities and behavior. Therefore, this theory in the field of education and psychology was employed in the mechanism of long-term Potentiation (LTP) to interpret the occurrence of learning in terms of cognitive neuroscience. Keywords: Cognitive Neuroscience, Theory, Hebb, Learning, Teaching, Brain, Neuron
APPLIED LINGUISTIC APPROACH TO TEACHING FOREIGN LANGUAGES THEORETICAL AND METHODOLOGICAL MODELS
Authors: ALAHYANE Latifa Mohamed
Published: November 2021

The theoretical achievement in the field of foreign language learning in the 1950s and early ‎‎1960s remained related to the practical side of language teaching. Moreover, The idea of the ‎need for foreign language teaching methodologies for a theory of learning has remained constant ‎since the occurrence of educational reform movements of the late nineteenth century.‎ To come to terms with the current developments in the field of foreign language learning, it is ‎necessary to trace the recent history of the research carried out in this regard. Therefore, we will ‎focus in this article on tracking the most important theoretical assets of foreign language teaching ‎methods, and monitoring the evolution of language teaching and learning methods. This is done ‎to distinguish between two approaches to language teaching; first, Direct teaching that negates ‎the overlap of the learned and acquired language during foreign language instruction. And ‎second Mediated teaching in which the second language is taught through the first language. ‎Through this, we will monitor the cognitive cross-fertilization between acquiring the first ‎language and learning the second one by tracing the relationship between them. We will list the most important assumptions underpinned by approaches to foreign language ‎teaching. And we will monitor the foundations on which each approach is based separately to ‎discover the commonalities between them and the contrast between them. We will then ‎contribute to building a new conception of foreign language learning by making use of the ‎translation action inherent in the procedures adopted in most of these approaches. This is mainly ‎evident in the difference between the necessity of adopting the first language or not during the ‎teaching and learning of the foreign language‎. . Keywords: Applied Linguistics, First Language acquisition, Teaching Foreign Languages approaches, ‎Direct teaching, Mediated teaching‎
ENVIRONMENTAL EDUCATION AND CONTEMPORARY CHALLENGES STRATEGIES APPROPRIATE TO THE IRAQI ENVIRONMENT
Authors: ALI Saif Jassim Mohammed
Published: November 2021

In recent decades, it has been observed that environmental problems have ‎aggravated negative impacts globally, and this confirms that the negative impact is ‎not limited to those concerned with the tasks of environmental education and their ‎specialists, but also includes all people, regardless of their standard of living, their ‎living conditions, and their educational and cultural level. This shows a lack of interest ‎in the repercussions of environmental problems, and efforts to address them‏.‏ In confirmation of the foregoing, the current research in environmental education and ‎contemporary challenges focused on some strategies appropriate to the Iraqi ‎environment, through four chapters; The first chapter dealt with the problem of the ‎research, its importance, goal and scientific terminology, and the second chapter ‎dealt with environmental education, its characteristics and features and the ‎contemporary challenges facing environmental education, and the third chapter was ‎limited to presenting the procedural framework (research methodology), while the ‎fourth chapter presented some educational strategies, which may contribute to ‎Strengthening environmental education, and at the same time compatible with the ‎Iraqi environment, such as: direct experience strategy, action research strategy and ‎practical studies, strategy for studying environmental issues, role-playing strategy, ‎problem-solving strategy, cartooning strategy, and participation strategy in ‎environmental activities, in addition to reviewing The most prominent results, ‎recommendations and suggestions. Keywords: Environment, Environmental Education, Challenges, Strategy.
https://www.ijherjournal.com/journaldetail/the-eloquency-of-ethos-in-arabic-poetry_105#:~:text=THE%20ELOQUENCY%20OF%20ETHOS%20IN%20ARABIC%20POETRY
Authors: HABIBI Ayyoub
Published: November 2021

This research paper aims to study some Arabic poetic verses through an argumentative approach of the poetic self-image, which poets draw about themselves inside and outside the poetic utterance. The poet aims through his poetry to convey a specific message, and to convince his addressees of it. The interest in studying Arabic poetry comes from being a discourse, carrying what is pragmatic, through which the seeker intends to persuade, prove or increase the evidence. Hence, the poet’s messages need argumentative mechanisms that make the recipients convinced of what is offered to them. Among the most famous of these argumentative mechanisms is the "ethos", which is the image that the poet draws about himself by means of linguistic and non-linguistic structures and patterns. We have tried to clarify the argumentative dimension of the self-image in poetry by presenting the characteristics of the poetic self and its images that are presented in its poetry to their addressees through the values it employs such as loyalty, generosity and courage… We have concluded that Arabic poetry is a discourse about worthy of study and analysis in terms of self-image, to reveal About the "Ethos", due to its noble human values. Keywords: Ethos, Poetry, Pilgrims, Values.
Một phương pháp nâng cao hiệu quả dự báo dữ liệu tuyển sinh dựa trên chuỗi thời gian mờ
Authors: Nguyễn Văn Khánh , Nguyễn Đình Bình , Nguyễn Bảo Trung , Phạm Đình Phong
Published: November 2021

Trong vài thập kỷ gần đây, nhiều nghiên cứu về mô hình dự báo dựa trên chuỗi thời gian mờ đã được đề xuất. Có nhiều nhân tố ảnh hưởng đến kết quả dự báo đã được nhiều tác giả tập trung nghiên cứu như kỹ thuật chia khoảng tập nền, các luật dự báo và kỹ thuật giải mờ. Tuy nhiên, các kết quả nghiên cứu vẫn còn nhiều hạn chế và chưa làm hài lòng người sử dụng. Trong bài báo này, chúng tôi đề xuất một phương pháp nâng cao hiệu quả của mô hình dự báo chuỗi thời gian mờ trên cơ sở kết hợp tối ưu các khoảng chia tập nền bằng thuật toán tối ưu bầy đàn và kỹ thuật giải mờ mới hiệu quả. Mô hình dự báo được đề xuất được ứng dụng để dự báo số sinh viên nhập học của Trường Đại học Alabama từ năm 1971 đến năm 1992. Kết quả thực nghiệm cho thấy, mô hình dự báo được đề xuất hiệu quả hơn các mô hình dự báo hiện có đối với cả chuỗi thời gian mờ bậc nhất và chuỗi thời gian mờ bậc cao.