bluuebunny/crossref_metadata_2025 huggingface dataset:
Influer et contraindre : la diplomatie aérienne
Authors: de Lespinois Jérôme , Dubourg Jacques
Published: June 2023

L’Armée de l’Air et de l’Espace contribue à exploiter la troisième dimension comme un champ de manoeuvre diplomatique en y déployant ses moyens pour produire de l’influence ou de la coercition. Les déploiements comme Pégase (2022) illustrent cette diplomatie de la puissance aérienne, fondée sur la projection de force et de puissance, qui concourt à la mise en oeuvre de la stratégie française en Indo-Pacifique.
De la puissance aérienne américaine en Indo-Pacifique
Authors: Milhiet Paco
Published: June 2023

Puissance multidimensionnelle, les États-Unis disposent d’un avantage aérien systémique dans l’Indo- Pacifique. Néanmoins, les actions hybrides menées par les forces aériennes chinoises, notamment autour de l’île de Taiwan, redéfinissent progressivement l’équilibre régional.
Le format de l’aviation de chasse de l’Armée de l’Air et de l’Espace : une équation complexe à plusieurs variables
Authors: Parisot Frédéric
Published: June 2023

Pas assez ambitieux ou pléthorique, le format de l’aviation de chasse a toujours été au coeur du débat public. Cela reflète autant son importance dans notre défense que son impérieuse adaptation aux nouvelles menaces pour rester crédible. Néanmoins, derrière le nombre de plateformes se cachent d’autres variables bien moins évidentes mais tout aussi cruciales pour continuer à tenir notre rang.
Disposer d’aviateurs à la hauteur des engagements de demain
Authors: Alvarez Manuel
Published: June 2023

Dans un contexte de durcissement de l’environnement sécuritaire international et de modernisation de ses capacités, l’Armée de l’Air et de l’Espace doit, face à un secteur civil prédateur et attractif, relever les défis du recrutement et de fidélisation en adoptant une approche globale, et en valorisant la cohésion et la relation chef-subordonné.
Le prix de la souveraineté aéronautique en Europe : une approche économique
Authors: Droff Josselin , Malizard Julien
Published: June 2023

Les pays européens se retrouvent au centre d’un « trilemme » qui empêche d’avoir simultanément d’importantes retombées économiques, l’autonomie stratégique la plus élevée et un coût d’acquisition relativement faible. Les différentes stratégies d’acquisition sont examinées à l’aune de ce trilemme et permettent d’identifier le prix de la souveraineté.
L’actionnariat collectif, version LG2
Authors: Venne Jean-François
Published: June 2023

Une forte vague de transferts d’entreprises déferle sur le Québec. Nombre d’entrepreneurs vendent leur firme à un nouveau propriétaire, alors que d’autres cèdent plutôt leurs actions à des employés. L’agence de marketing LG2 a donné une allure originale à ce repreneuriat collectif.
Les questions qu’il faut se poser
Authors: Johnson Kevin J.
Published: June 2023

La vague de pression que subissent les entreprises depuis quelques années est unique, en raison des circonstances exceptionnelles liées à la pandémie et aux événements géopoliques actuels. Pourtant, plusieurs changements dans l’organisation du travail semblent s’imposer de façon de plus en plus durable. Au gré de ces transformations, serions-nous en train d’échapper à une certaine forme de vigilance nécessaire pour prendre les décisions optimales et gérer efficacement nos équipes et nos organisations ?
Des pierres à la parole. Une théorie sur l’origine et l’évolution du langage
Authors: Vieira António
Published: June 2023

L’auteur propose une hypothèse pour l’origine et l’évolution du langage, basée sur le caractère pré-linguistique des outils paléolithiques et les propriétés grammaticales et syntaxiques qui leur sont inhérentes. Dans ce cadre, le cerveau instrumental préalable serait « pré-adapté » à recevoir les réseaux neuronaux du cerveau linguistique, qui se développerait par paliers au long de la lignée Homo .
Caillou précieux
Authors: Leguéré Odile
Published: June 2023

Texte inédit.
Les voix de la pierre chez Georges Séféris
Authors: Le Bihan Adrien
Published: June 2023

Dans sa poésie, Georges Séféris, toute sa vie attaché à des objets humbles, nous fait entendre les voix de la pierre ; le lien secret entre la pierre et le chant.
Diálogos secretos debaixo dos nossos pés. A calçada artística à portuguesa como suporte introspetivo
Authors: Matos Ernesto
Published: June 2023

De nombreux pavements urbains portugais sont encore exécutés avec le procédé de la calçada , utilisant de petits blocs de pierre de calcaire ou de basalte, généralement dénommé calçada à portuguesa (la chaussée à la portugaise). Au Portugal, au long des siècles, divers courants idéologiques, politique, sociaux ou religieux ont été promus à travers ce support graphique (qui s’est révélé efficace et durable) à l’image de ce qu’avaient fait d’autres peuples autrefois. Mais que veulent nous transmettre ces signes, quelles histoires ou quels secrets nous racontent ces ensembles de pierres forgées dans les paumes de la main, qui se rassemblent comme des tapis dans les tonalités de noir et blanc et qui s’étendent quotidiennement sous nos pieds, se déployant sous nos yeux et rafraîchissant notre mémoire ?
La magie des pierres
Authors: Younès Chris
Published: June 2023

Les pierres nous parlent. Les roches constituent depuis des millénaires un des matériaux de base de l’habitat humain, des troglodytes jusqu’à aujourd’hui. L’auteure s’arrête plus particulièrement sur le roman de l’architecte Fernand Pouillon, Les pierres sauvages , dans lequel il imagine le journal du maître d’oeuvre de l’Abbaye du Thoronet. Après s’être référée à la construction de cette abbaye au xii e  siècle, elle souligne la forte reprise de la pierre dans l’architecture contemporaine, considérée comme une ressource naturelle du futur, particulièrement appropriée à une bifurcation écologique renouant avec un art vernaculaire attentionné et plein de secrets.
Être pierre
Authors: Bouit Delphine
Published: June 2023

Depuis les versets bibliques, être pierre est une attitude symbolique. Elle a été vécue par les fidèles, par les tailleurs de pierre puis par les francs-maçons. L’analyse, ici, ne mènera pas à la quête de la pierre philosophale, mais à la découverte d’un pur diamant qui n’est autre que la pierre philosophique.
Pierres et paroles. Roger Caillois et les secrets d’une écriture lapidaire
Authors: Block de Behar Lisa , Bensoussan Albert
Published: June 2023

Semblables aux paroles, les pierres gardent des secrets. Dans de nombreuses publications, Roger Caillois, ainsi que d’autres poètes, enquête sur ce silence. Surpris par leur énigmatique beauté, il ne cesse de la comparer à celle des images qui les représentent. Les pierres sont des témoins muets du cours des âges de la planète et des générations. Elles sont là ; indifférentes aux changements et aux permanences de leur environnement. Par cette indifférence, peut-être, elles ne sont pas non plus suffisamment remarquées. Les mythes et les traditions ancestrales les associent à la douleur, à la punition, à l’infinie postérité de la mort. Si la chute des étoiles est leur origine, si elles procèdent du ciel, l’éternité ne leur est pas étrangère.
Pierres du Japon, paroles de pierres
Authors: Bonnin Philippe
Published: June 2023

C’est aux jardins secs karesansui que pensent les Européens. Mais c’est peu dire sur l’emploi subtil des pierres, sur la signification qu’elles portent, sur les soins et le respect à leur égard, sur leur place dans la mythologie du Kojiki , sur celle des iwakura dans la religion primitive, sur la dévotion populaire des divinités dōsojin des carrefours, des Jizō . Chaque pierre est le siège d’un esprit. Les pierres parlent.
Perception et causation : le cas des verbes causatifs avec un argument « nom de perception » en russe
Authors: Thomières-Shakhovskaya Irina
Published: June 2023

Notre article analyse les relations causales prises en charge par les verbes causatifs ayant le statut d’opérateur et qui possèdent un argument « nom de perception ». Notre matériau est constitué des exemples du russe contemporain relevés dans le Russian National Corpus. Nous passons en revue diverses classes sémantiques de verbes, notamment les verbes de sentiment, les verbes de disparition, les verbes de modification, les verbes d’interruption. Deux constructions sont au centre de notre étude : « N0 nom de perception + verbe causatif + N1 sujet humain » et « N0 nom de perception ou sujet humain + verbe causatif + N1 nom de perception ».
Bernanos, lanceur d’alerte
Authors: Angelier François
Published: June 2023

Dans cette conférence, prononcée le mardi 4 octobre 2022 pour l’inauguration de l’auditorium Georges Bernanos de l’Institut Catholique de Paris, François Angelier, biographe de Bernanos, évoque ce que signifie de mettre pareil lieu sous l’invocation de l’auteur de Journal d’un curé de campagne , puis propose un portrait de l’écrivain comme « lanceur d’alerte », empruntant à sa correspondance puis à son œuvre d’essayiste, de La Grande Peur des bien-pensants à La France contre les robots , nombre de citations significatives. Le propos s’achevant par un hommage à Léon Bloy dont Bernanos s’avère être, parmi les écrivains français, le principal disciple.
Rehabilitation of existing building parks and its relationship with urban agglomerates–An urgent and demanding task for our common future
Authors: Lanzinha João C. G.
Published: June 2023

Today there are new concerns that housing research seeks to anticipate: the relationship between housing and health, the definition of methodologies for assessing risks to occupants and the guarantee of indoor air quality, among other areas that increasingly require a transdisciplinary approach. Today's urban centers are made up of many current buildings that reveal constructive trends from various eras, the expression of aesthetic and cultural movements, economic and administrative policies, the evolution of empirical and scientific knowledge, the availability of local materials and geographical specifics, territorial and climatic. This implies a rehabilitation of buildings and urban centers with a clear commitment to respect for history, constructive tradition and heritage passed on to us by previous generations. A more promising and sustainable future requires it.
Effectiveness of Computer Modeling in the Study of Electrical Circuits: Application and Evaluation
Authors: Dosymov Yelmurat , Usembayeva Indira , Polatuly Serik , Ramankulov Sherzod , Kurbanbekov Bakitzhan , Mintassova Aigul , Mussakhan Nurken
Published: June 2023

Abstract—Проблемы данного исследования связаны с недостатками, которые всегда существовали и обострились в последнее время в практике изучения электромагнитных явлений в отдельных электрических цепях в школе. В качестве одного из путей преодоления имеющихся недостатков рассмотрим усиление физической составляющей при исследовании материала электрических цепей. В соответствии с этим проблему исследования можно сформулировать в виде вопроса: какова педагогическая целесообразность использования современных микропроцессорных систем и математического моделирования с точки зрения повышения качества физических знаний и эффективности их применения в учебном процессе? изучение электрических схем? Для решения поставленных задач использовались следующие методы исследования: проведение педагогического эксперимента и анализ его результатов с целью определения эффективности использования компьютерного моделирования при изучении физических основ электрических цепей, теоретический анализ методической литературы. Разработана методика применения компьютерного моделирования и показана его роль в создании условий для внедрения исследовательского метода обучения в практику. В результате педагогического эксперимента доказана эффективность разработанных подходов к использованию компьютерных моделей в экспериментальной деятельности студентов с целью развития интеллектуальных способностей, формирования исследовательского подхода и стимулирования творческой активности студентов. теоретический анализ методической литературы. Разработана методика применения компьютерного моделирования и показана его роль в создании условий для внедрения исследовательского метода обучения в практику. В результате педагогического эксперимента доказана эффективность разработанных подходов к использованию компьютерных моделей в экспериментальной деятельности студентов с целью развития интеллектуальных способностей, формирования исследовательского подхода и стимулирования творческой активности студентов. теоретический анализ методической литературы. Разработана методика применения компьютерного моделирования и показана его роль в создании условий для внедрения исследовательского метода обучения в практику. В результате педагогического эксперимента доказана эффективность разработанных подходов к использованию компьютерных моделей в экспериментальной деятельности студентов с целью развития интеллектуальных способностей, формирования исследовательского подхода и стимулирования творческой активности студентов.
Development of Teamwork Skills Using ICTs in Undergraduate Students of Food Industry Engineering Degree
Authors: Andrés Ana Isabel , Petrón María Jesús , Carrapiso Ana Isabel , Morales Sara , Timón María Luisa
Published: June 2023

The development of soft skills is considered vitally important for the professionals in the Food Industry Engineering field. Employers in the food industry seek graduates who are prepared for work and possess strong teamwork skills. One effective strategy for students to practice and enhance their teamwork skills is through team-based assignments. In this study, three different team-based tasks were assigned to students in the three Food Industry Engineering courses. These tasks included the preparation of a Kahoot! questionnaire, a video presentation, and a traditional written report, all related to specific topics covered in the courses. The teamwork skills of the students were evaluated using VALUE rubrics. The acceptability of these three learning methodologies was also measured. The results indicated that the use of Kahoot! and student video presentations resulted in higher teamwork scores  compared to the traditional methodology (P<0.05). No significant differences were found between the uses of Kahoot! and video presentation in any of the courses (P>0.05). The level of student satisfaction, regarding the general acceptance of Kahoot! and video presentation tools, as well as the acquisition of teamwork skills, was very positive. These findings undoubtedly encourage faculty to incorporate these new teaching methodologies in Food Industry Engineering courses.
Statistics in Forest Engineering Degree Programs: What Should be Taught and Who Should Teach It
Authors: Ayuga-Téllez Esperanza , González Concepción , Martín-Fernández Susana
Published: June 2023

Quality in teaching Applied Statistics in the Degree in Forestry Engineering requires initially asking why to teach Statistics, who should teach it and what should be taught. This paper aims to answer these questions. Natural discussion groups have been used as a method to achieve the objectives. These groups were formed by professors from the UPM and the National University of Santiago del Estero, in Argentina. The results reached the consensus of the experts on the subject: the need for statistics in the training of forestry engineers and that the main contents should be descriptive statistics, sampling techniques, estimation and hypothesis testing and linear models. Finally, another result was that the teaching staff should be Forestry Engineers to show and involve students in real and practical cases that solve engineering problems that facilitate student learning.
Novel SVM and K-NN Classifier Based Machine Learning Technique for Epileptic Seizure Detection
Authors: K. Gowrishankar , V. Muthukumar , R. Sudhakara Pandian , S. Deivasigamani , Ang Chun Kit
Published: June 2023

An EEG signal is used for capturing the signals from the brain, which helps in localization of epileptogenic region, thereby which plays a vital role for a successful surgery. The focal and non-focal signals are obtained from the epileptogenic region and normal region respectively. The localization of epileptic seizure with the help of focal signal is necessary while detecting seizures. Hence, the present article provides detailed analysis of EEG signals. The Focal and Non-focal signals are decomposed using EMD-DWT. A combination of EMD-DWT decomposition method in accordance with log-energy entropy gives an efficient accuracy in comparison to other entropy in differentiating the Focal from Non-focal signals. The extracted features are subjected to SVM and KNN classifiers whose performance will be calculated and verified with respect to accuracy, sensitivity and specificity. At the end, it will be shown that KNN produces the highest accuracy when compared to SVM classifier.
Archeological Sites Classification Through Partial Imaging and Convolutional Neural Networks
Authors: Saleh Yaser , Muhanna Muhanna
Published: June 2023

In this paper, a novel approach for classifying archeological sites using publicly available images through the use of Convolutional Neural Networks (CNNs) is presented. To surmount the problem of having a limited amount of data to use in training and testing the CNNs, our approach employs the technique of fine tuning. We conducted an experiment with four popular CNN architectures: VGG-16, VGG-19, ResNet50, and InceptionV3. The results show that our models achieved an impressive accuracy of up to 98% using the VGG-16 and InceptionV3 models and up to 97% using the ResNet50 model, while the VGG-19 model produced results with an accuracy of 95%. The results of this study demonstrate the effectiveness of our proposed approach in classifying archeological sites using publicly available images and highlight the potential of deep learning techniques for archeological site classification.
Time Series Analysis with Systematic Survey on Covid-19 Based Predictive Studies During Pandemic Period using Enhanced Machine Learning Techniques
Authors: K. Rajeswari  , Sushma Vispute  , Amulya Maitre  , Reena Kharat  , Amruta Aher  , N. Vivekanandan  , Renu Kachoria  , Swati Jaiswal
Published: June 2023

Coronavirus 2 virus is responsible for the spread of the infectious disease COVID-19 (also known as Coronavirus disease). People around the globe who got infected with the virus experienced a respiratory illness that could become as serious as leading someone to lose their life. However, the upside of the pandemic is that it has led to numerous types of research and explorations, majorly in the medical science field. Since a systematic survey of previous research activities and bibliometric analysis gives a brief idea about such contributions and acts as a reference to future research, this study aims to cover the research related to COVID-19 in the computer technology domain. It is limited to the works accepted and accessible with the keywords - Covid-19, prediction, and pandemic, in the Scopus search engine to justify the scope of this survey. Further, the paper highlights a few prior works used for predictive analysis and presents a quantitative angle on their algorithms. Earlier works showcase Time Series Analysis using ARIMA/SARIMA models for predicting the vaccination rates, and Extreme Gradient Boosting (XGBoost), Xtremely Boosted Network (XBNet) Regression, and Recurrent Neural Network (RNN) for Confirmed, Cured, and Death cases. Amongst the algorithms used in the latter use case, XBNet regression performed better than XGBoost regressor.
Artificial Intelligence and Machine Learning-Based Agriculture
Authors: Rajput Sakshi , Khanna Lititia , Kumari Priti
Published: June 2023

According to the Food and Agriculture Organization of the United Nations, by 2050, there will be an additional nine billion people living on the planet, yet there will only be an additional 4% of land under cultivation. In such a situation, more effective agricultural practices can be achieved using recent technical developments and fixes for the industry's current bottlenecks. Direct use of artificial intelligence and machine learning in the agricultural industry could represent a paradigm shift in the way farming is now carried out. A farmer may accomplish more with fewer resources using AI-powered farming solutions, which also improve quality and ensure speedy GTM (go-to-market) strategies for crops. This chapter offers a perspective of how AI might fuel the various agricultural sectors. Additionally, it looks into future AI-powered concepts and potential challenges.
Revolutionizing Agriculture With Cloud-Connected Irrigation Technology
Authors: Singh Abhishek Kumar , Praveen Pushkar , Tripathi Devansh , Pandey Ved Prakash , Verma Pratibha
Published: June 2023

The current global water crisis, caused by factors such as population growth, urbanization, and climate change, has a significant impact on agriculture, which consumes 70% of the world's freshwater. One potential solution to this problem is the use of intelligent irrigation systems. Cloud-based smart irrigation systems offer a more efficient and cost-effective approach to water consumption management. This study examines the concept of cloud-based smart irrigation systems, their advantages, and their potential application in agriculture. To begin, the authors detail the various components of a cloud-based smart irrigation system, including sensors, controllers, and cloud computing. They then explore the benefits of cloud-based systems, which include scalability, cost-effectiveness, and real-time data processing capabilities. They also delve into the different types of sensors used in smart irrigation systems, such as soil moisture, weather, and crop sensors, as well as their respective advantages and limitations. Furthermore, they discuss the various controllers utilized in smart irrigation systems, such as scheduling, sensor-based, and weather-based controllers. They elaborate on how these controllers function and the advantages they offer in terms of water conservation and crop yield optimization. Lastly, they examine the practical application of cloud-based smart irrigation systems in agriculture, including how to create, implement, and tailor the system to suit the specific requirements of a particular farm. They also consider potential barriers to adoption, such as cost and technological complexity, and how to overcome them. In short, cloud-based smart irrigation systems present a promising solution to the water crisis in agriculture. These systems can significantly reduce water waste, increase crop yield, and save costs by utilizing cloud computing technology to manage irrigation. With careful planning, installation, and configuration, cloud-based smart irrigation systems have the potential to be an effective tool for farmers in improving their productivity and sustainability.
Air Pollution Effects on the Habitat of Insects and Strategic Control to Improve Productivity
Authors: Mishra Loveneet , Chauhan Usha , Chauhan S. P. S. , Singh Harshit
Published: June 2023

Urbanization has significantly worsened the ecosystem by releasing harmful substances and gases into the air through air pollution, which has an impact on the population demographics of insect herbivores. A pest outbreak and the formation of new pest biotypes are caused by the careless application of wide spectrum pesticides, which decimate the population of important pollinators and foragers. The potential efficiency of phloem-feeding homopteran insects such aphids is increased by pollutants like sulphur dioxides, oxides of nitrogen, fluorides, and heavy metals in the environment. Industrial melanism in moths is caused by a decline in the light-coloured lichens as a result of pollution. However, trophic amplification caused by high toxicant concentrations reduces the susceptibility of the parasitise & predators. The population growth of invading alien pest species & tropical disease vectors is amplified by air pollution and the acceleration of global warming. However, steps have been taken to reduce air pollution and boost agricultural output. The fabric filtration method uses filter cakes to remove air contaminants in this manner. Successful electrostatic precipitation strategies remove charged droplets of solid or liquid from syngas where the suspended particles exist. However, methods like thermal incineration & catalytic oxidation, which essentially use a catalyst activator to transform organic chemicals in waste gas streams into CO2, liquid water vapor, as well as inorganic-gases at extreme temps, are in use. Additional to these methods Due to their low operating and capital expenses, biofilters could be employed in conjunction with the other treatment technologies. Thus, successful reduction of air pollution can restore the health of agricultural plants and lessen food shortage.
Advanced Detection
Authors: Singh Pooja , Chauhan Usha , Chauhan S. P. S. , Singh Harshit
Published: June 2023

In the present scenario, due to climate change, farmers crops get fungi due to bacteria since soil temperatures change very rapidly according to sudden climate changes for which the crop is getting spoiled. At this advanced era, disease can be detected early so that crops are safe. Different types of fungi-bacterial disease will be detected and prevented by machine learning-based predicted deterministic probabilistic and artificial technology-based CNN for colour changes in plants. This chapter described machine learning techniques and proposed modified algorithms to identify and classify plant diseases. Deep neural network (DNN) models and algorithms are used to improve object accuracy and entropy to reduce the complexity of computational processes and improve the features during deep learning processes (e.g., modified deep neural network [MDNN]). Additionally, they support dynamic feature extraction DSURF and classifier combinations for creating image clusters with the help of clustering and deterministic probability.
Solar-Powered Pesticide-Spraying RFID Robot
Authors: Raju K. , Tulaskar Roshan Rajeshwar , Sherwin Canute
Published: June 2023

In this chapter, a solar powered pesticide-spraying RFID robot has been designed and developed for its use in different types of fruits and vegetable fields. The robot is equipped with DC motors, DC pump, a solar panel, and an ultrasonic sensor. The robot's navigation has been automated using RFID (radio frequency identification) technology. An ultrasonic sensor is used for sensing any obstacle in the path of the robot's navigation. A solar panel of 30W is used for charging the batteries that are used for driving the DC motors and the DC pump. The wheels of the robot are powered by DC motors, and the DC pump is used for spraying pesticides through the nozzles. The height of the nozzles can be varied depending on the size of the crop. The robot has been designed for spraying pesticides automatically thereby controlling pests, improving productivity, and reducing the health hazards of farmers posed by pesticides.
Microfluidic Synthesis of Nanoparticles
Authors: Kapoor Ashish , Vaishampayan Vijay , Awasthi Anjali , Banerjee Soma
Published: June 2023

Microfluidic systems are promising alternatives for continuous synthesis of nanoparticles in controlled environments, overcoming challenges of conventional methods. Stable nanoparticles within a narrow range of size and shape distribution can be reliably produced by controlling geometrical configuration of microfluidic devices and optimizing various operational parameters. This chapter provides an overview of fundamentals and advances in microfluidic synthesis of nanoparticles, categorizing devices into continuous and segmented flow microfluidic platforms. Strategies for functionalization of nanoparticles are explained, and their diverse applications in various fields are elaborated. Future prospects and underlying challenges are also examined for the commercialization of microfluidic devices for nanoparticle synthesis.
Design, Development, and Applications of Microfluidics for Rapid Detection and Quantization of Microparticles
Authors: Ghubade Anil Baliram , Chauhan Nitin , Sharma Parveen Kumar
Published: June 2023

Rapid detection and quantization of microparticles whose size is comparable to biological entities provide a new avenue for rapid diagnosis and clinical applications. There are various methodologies that have been adopted for the detection and quantification of these micro entities like changes in permittivity, medium impedance, magnetic permeability, and other means. Recently, microfluidics plays an important role in the process of detection and diagnosis of these microparticles by using chip-based techniques. In this work, the authors reviewed the necessity of microfluidic devices, various designs for rapid detection, processes of device fabrication, and range of applicability. Recent research papers have been selected and studied. The outcomes of these papers are presented systematically in the chapter.
Developing Fuzzy-AHP-Integrated Hybrid MCDM System of COPRAS-ARAS for Solving an Industrial Robot Selection Problem
Authors: Goswami Shankha Shubhra , Behera Dhiren Kumar
Published: June 2023

Robots are one of the most commonly used automated material handling equipment (MHE) in an industry, installed to perform a variety of hazardous and repetitive tasks, e.g., loading, unloading, pick-and-place operations, etc. The selection of an appropriate industrial robot is influenced by a number of subjective and objective factors that define its characteristics and working accuracy. As a result, robot selection can be regarded as a multi-criteria decision-making problem. In this article, a new hybrid MCDM model combining COPRAS and ARAS is developed to execute an industrial robot selection process based on three alternatives and five criteria. Fuzzy analytic hierarchy process is integrated to compute the parametric weights. It is discovered that Robot 3 and Robot 1 are coming out to be the best and worst alternative robots from this hybrid model. Finally, comparative analysis among eight other MCDM tools and sensitivity analysis are also performed to assess the stability and robustness of the developed hybrid model and other applied MCDM tools.
Machine Learning-Assisted Diagnosis Model for Chronic Obstructive Pulmonary Disease
Authors: Yu Yongfu , Du Nannan , Zhang Zhongteng , Huang Weihong , Li Min
Published: June 2023

Chronic obstructive pulmonary disease (COPD) is a long-term, irreversible, and progressive respiratory disease that often leads to lung function decline. Pulmonary function tests (PFTs) provide valuable information for diagnosing COPD; however, they are underutilised in clinical practice, with only a subset of test values being used for decision making. The final clinical diagnosis requires combining PFT results with patient information, symptoms, and other tests, such as imaging and blood analysis. This study aims to comprehensively utilise all the testing information in PFTs to assist in the diagnosis of COPD. Various machine learning models, such as logistic regression, support vector machine (SVM), k-nearest neighbour (KNN), random forest, decision tree, and XGBoost, have been employed to establish COPD diagnosis assistance models. The XGBoost model, trained with features extracted by the group LASSO algorithm, achieved the best performance, with an area under the receiver operating characteristic curve (ROC) of 0.90, 88.6% accuracy, and 98.5% sensitivity. This model can assist doctors in the clinical diagnosis and early prediction of COPD.
Recognition Method for Electronic Component Signals Based on LR-SMOTE
and Improved Random Forest Algorithm
Authors: Lv Bingze , Wang Guotao , Li Shuo , Wang Shicheng , Liang Xiaowen
Published: June 2023

Loose particles are a major problem affecting the performance and safety of
aerospace electronic components. The current particle impact noise detection
(PIND) method used in these components suffers from two main issues: data
collection imbalance and unstable machine-learning-based recognition models that
lead to redundant signal misclassification and reduced detection accuracy. To
address these issues, we propose a signal identification method using the
limited random synthetic minority oversampling technique (LR-SMOTE) for
unbalanced data processing and an optimized random forest (RF) algorithm to
detect loose particles. LR-SMOTE expands the generation space beyond the
original SMOTE oversampling algorithm, generating more representative data for
underrepresented classes. We then use an RF optimization algorithm based on the
correlation measure to identify loose particle signals in balanced data. Our
experimental results demonstrate that the LR-SMOTE algorithm has a better data
balancing effect than SMOTE, and our optimized RF algorithm achieves an accuracy
of over 96% for identifying loose particle signals. The proposed method can also
be popularized in the field of loose particle detection for large-scale sealing
equipment and other various areas of fault diagnosis based on sound signals.
Abluka (2015): Postmodern Türkiye distopyası
Authors: Sancar Mustafa Kemal
Published: June 2023

Bu çalışmada, Türkiye’nin güncel politik atmosferine denk düşen ve distopik bir anlatı olan Abluka (Emin Alper, 2015) filmine odaklanılmakta ve bu çerçevede filmin ideolojik eleştirisi yapılmaktadır. Sinemadaki distopik anlatı örnekleri daha çok edebi eserlerden uyarlanan filmlerden teşekküldür. Emin Alper’in ikinci uzun metraj filmi Abluka’da betimlenen İstanbul, belirsiz politik bir tehdide karşı abluka altına alınmış bir mekân olarak tasvir edilmiştir. Şehrin belirli noktalarında yer alan girişler ve çıkışlar devletin kolluk güçlerince kontrol edilmektedir. Filmin konuyu, öyküyü ve filmsel gerçekliği ele alış biçimi postmoderndir. Filmde kurgulanan distopik evren ve karakterlerin içinde bulundukları olaylar silsilesi, Türkiye’de 1980’li ve 1990’lı yıllarda yaşanan birçok siyasi olaya ve dönemin atmosferine referans verir. Ayrıca filmin gösterime girdiği tarihlerde Doğu ve Güneydoğu Anadolu’da yaşanan çatışma ortamı da filmin atmosferini çağrıştırmaktadır. Bu bakımdan Abluka filmi, diğer distopik anlatılarda olduğu gibi içine doğduğu ve beslendiği ülkenin ideolojik koşullarını yansıtmaktadır.
Surveillance of pregnancy outcome of monochorionic twins at Tu Du Hospital
Authors: Pham Cong Toan , Vo Thi Hue , Trinh Nhut Thu Huong , Nguyen Hong Hoa , Tran Nhat Thang
Published: June 2023

Background: Monochorionic twins are a high risk pregnancy and are associated with special complications that are unique to sharing a placenta and because of the hemodynamic imbalance caused by placental vascular anastomoses. Therefore, the outcome of monochorionic twins is still being researched and reported to looking for the best evidence to perform the optimal interventions.

Objectives: To describe the outcome of monochorionic twins to determine the proportion of special complications. Moreover, exploring the rate of fetal death in uterus, premature delivery, the successful vaginal birth in complicated monochorionic twins after bipolar cord coagulation.

Materials and Methods: Case series report of monochorionic twins which was managed pregnancy and delivered at Tu Du hospital between January 2018 and January 2019, comprised 166 cases with 81 complicated monochorionic twin pregnancies.

Results: The series comprised 85 uncomplicated monochorionic twins (51.2%) and 81 complicated cases (48.8%) with 15% twin-twin transfusion syndrome (TTTS) and 28.3% selective intrauterine growth restriction (sIUGR). Nineteen cases of bipolar cord coagulation perfomed included seven TTTS, eight sIUGR, three cases with serious malformation, and one twin reversed arterial perfusion sequence (TRAP).

Conclusions: TTTS and sIUGR are complications unique to monochorionic twins and diagnosed in the early stage after 23 week’s gestation. Bipolar cord coagulation is an effective procedure in complicated monochorionic pregnancies to improve pregnancy outcome.
Prevalence, severity and factors associated with low back pain and pelvic girdle pain during pregnancy
Authors: Nguyen Thi Van Kieu , Ho Tran Tuan Hung , Ton That Minh Dat , Tran Thi Quynh Trang , Hoang The Hiep
Published: June 2023

Background: Low back pain (LBP) and pelvic girdle pain (PGP) are commonly reported during pregnancy and are known to affect pregnant women’s well-being. Still, these conditions are often considered to be a normal part of pregnancy. This study assesses the prevalence and severity of LBP and PGP among pregnant at Hue University of Medicine and Pharmacy (HueUMP) Hospital, as well as exploring factors associated with LBP and PGP.

Methods: A cross-sectional study with successive recruitment of pregnant women was conducted at two district hospitals in HueMP from May 2021 to May 2022. The data was collected using self-reported questionnaires. Univariate and multivariate logistic regression were used to assess the associations between independent variables and LBP and PGP.

Results: A total of 204 pregnant women were included in the study. The reported prevalence of pregnancyrelated LBP and PGP were 57.8% and 26.5%, separately. Pain intensity was noticeable with a mean score of 4. The median disability scores according to the Oswestry Disability Index and total Pelvic Girdle Questionnaire were 10 (4 - 18) and 12 (9.3 - 17.3), respectively. In the final model for women with LBP the adjusted odds ratios were for body mass index (> 30) 1.0 (95% CI, 0.2–5.9), for participant’s education (primary, secondary, high school and university) 8.5 (95% CI, 2.4 - 30.6), 6.4 (95% CI, 1.8 - 23.0), 1.7 (95% CI, 0.5 - 5.6) and 1.8 (95% CI, 0.5 - 6.4), respectively. In the final model for women with PGP the adjusted odds ratios were, for participant’s education (primary, secondary, high school and university) 0.5 (95% CI, 0.1 - 2.8), 1.7 (95% CI, 0.4 - 8.2), 5.8 (95% CI, 1.2 - 28.8) and 2.6 (95% CI, 0.5 - 13.3), respectively, for working status and sleep hour per day (p < 0.05).

Conclusions: Pregnant women at HueUMP Hospital commonly report LBP and PGP. The women experienced low disability despite moderate pain intensity.
Initial evaluation treatment results of laparoscopic pectopexy in the management of uterine prolapse
Authors: Vo Phi Long , Hoang The Hiep , Ho Tran Tuan Hung , Pham Hoang Phong , Vo Van Duc
Published: June 2023

Background: In recent years, laparoscopic pectopexy has become increasingly prevalent in the treatment of pelvic organ prolapse; nonetheless, this technique has only been used at Khanh Hoa General Hospital since 2020.

Objectives: To evaluate the effectiveness of laparoscopic pectopexy in patients with uterine prolapse and to evaluate the quality of life of patients after the surgery.

Subjects and methods: A case series with follow-up on 58 patients with uterine prolapse ≥ grade 2, who had laparoscopic pectopexy at Khanh Hoa General Hospital between February 2020 and July 2021.

Results: Complication rates during and after the procedure were low, blood loss was minimal, and there were no instances requiring blood transfusions during the procedure. During a 6-month follow-up, no patient had surgical infection, erosion, or transplant rejection. The typical procedure lasted between 90 and 120 minutes. Most postoperative patients only had minor discomfort. The recurrence rate was minimal (1.7%) during the 6-month follow-up period. 95% of patients were satisfied with the surgical procedure. Prior to surgery, the QoL of patients was relatively poor, with a mean PFDI-20 (Pelvic Floor Distress Intervention) score of 130 and a PFIQ-7 (Pelvic Floor Impact Questionnaire) score of 148. The worse the uterine prolapse, the worse the patient’s quality of life. Three months after surgery, the average PFDI-20 score was 8 and the average PFIQ-7 score was 10; six months after surgery, the average scores for these two indices were nearly 0.

Conclusion: If there are no contraindications, laparoscopic pectopexy should be utilized to treat uterine prolapse.
Complete Streets in Brazil - Promoting a Paradigm Shift
Authors: Manoela dos Santos Paula , Samios Ariadne , Batista Bruno
Published: June 2023

This report systematizes the implementation process, challenges, learnings, and results of complete street interventions in eight cities from different regions of Brazil. The document showcases the applicability of the complete streets concept in the Brazilian urban reality to promote positive impacts on people's quality of life. The work, coordinated by WRI Brasil, involves 21 authors, including WRI Brazil technicians, city agencies' representatives, and professors from the Network of University Professors for Complete Streets. The streets documented in the case studies of this report highlight the flexibility of applying the concept to different realities, scales, and contexts, reinforcing the importance of all complete street interventions, regardless of their size and scale. The complete streets approach seeks to undo the predominant culture in urban and transportation planning in Brazil, which prioritizes car flow. Complete streets are designed to provide safety and comfort to all people of all ages, using all modes of transportation. In 2017, WRI Brasil, in partnership with the National Front of Mayors (FNP), created the National Network for Low-Carbon Mobility, which concluded its first cycle with 21 member cities and pilot projects implemented in Campinas, Curitiba, Juiz de Fora, Niterói, Porto Alegre, Salvador, São José dos Campos, and São Paulo. These eight interventions are documented in this report, conducted with the support of Itaú.
Assessment of the effect of chronic exposure on premature aging of human T-lymphocytes based on unstable chromosome aberrations
Authors: Vozilova AV
Published: June 2023

For more than 60 years, residents of the villages on the Techa River have been chronically exposed to combined radiation, receiving a wide range of doses. Red bone marrow (RBM) is the critical system in the exposure conditions. This study aimed to assess the effect of chronic exposure on premature aging of T-lymphocytes based on the frequency of unstable chromosome aberrations; the subjects were the residents of the Southern Urals that have been chronically exposed to radiation. The increased frequency of occurrence of dicentrics and rings in T-cells of the exposed persons was the marker of cellular aging, with the associated doses to the red bone marrow (RBM dose) at 0.5–2.5 Gy. The participants (RBM donors), both exposed and non-exposed, were divided into three age subgroups: 40–59 years old, 60–69 years old, 70–79 years old. The differences in the RBM dose among the exposed individuals were insignificant. In the exposed group, unstable chromosome aberrations (UCA) were recorded significantly more often than in the control group (p = 0.04). The age group of 40–59 years was the one where the exposed donors had significantly more frequently occurring chromosome aberrations compared to the non-exposed participants. There were no such differences registered in other age groups. The age-associated increase of the amount of chromosome aberrations was registered in the non-exposed group only. Chronic exposure to radiation indirectly promotes premature aging of T-lymphocytes: 1) in the long term, the exposed individuals had UCA significantly more often; 2) compared to the control group, the 40–59 years age subgroup of the exposed group had increased cytogenetic index. In the context of this study, the number of dicentrics and rings was not registered as increasing in the older age subgroups of exposed individuals, which may be due to the specifics of the donor inclusion criteria, which, for the elderly, may favor radioresistant individuals.
Implementation of Supervisors as Agents of Change in Islamic Education in Indonesia (Case Study of Islamic Religious Education Supervisors in Kuningan Regency)
Authors:   Doctoral Student, Institut Agama Islam Negeri Syekh Nurjati Cirebon, Indonesia, Kosman Kosman , Djubaedi Dedi ,   Professor, Institut Agama Islam Negeri Syekh Nurjati Cirebon, Indonesia, Sumarna Cecep ,   Professor, Institut Agama Islam Negeri Syekh Nurjati Cirebon, Indonesia, Rosidin Didin Nurul ,   Professor, Institut Agama Islam Negeri Syekh Nurjati Cirebon, Indonesia
Published: June 2023

This article aims to reveal the implementation of the supervisor's role as an agent of Islamic education change in Indonesia and the impact of implementing supervision on teachers' performance. This research is field research using the method of observation, interviews, and documentation. The results showed that the role of Islamic religious education supervisors in Kuningan Regency was good, although it could have been better. The indicator is in carrying out the guidance for religious teachers, as expected. The relationship between implementing supervision by guiding teachers at schools is good, but it has yet to be optimal. It is due to the situation and condition of the school. Besides, many schools are fostered to be supervised, and the implementation of supervision significantly impacts the performance of Islamic religious education teachers. This is reflected in the implementation of teaching and learning activities carried out by the teacher and the current administration, and this indicates that the teacher has been able to feel the maximum guidance from the supervisor. The impact shown between the implementation of supervision on teacher performance is positive. With the more widespread discussion about improving the quality of education, this research will be a valuable input for existing regulations. Due to the limitations of this study, it is hoped that other studies will explore the aspects that have yet to be discussed in this study. The process of implementing teacher professionalism in the form of self-evaluation through teacher performance assessments is a new finding by the author on Islamic religious education supervisors in Kuningan regency, which has positive values in carrying out supervisory duties, so it will change the paradigm of supervisors in improving teacher competence, especially Islamic religious education teachers in Kuningan regency.
THE PARTICIPATION OF BLACK HA NHI PEOPLE IN Y TY, LAO CAI PROVINCE FOR LOCAL SUSTAINABLE TOURISM DEVELOPMENT
Authors:   Thai Nguyen University – Lao Cai Campus,Group 13, Binh Minh Ward, Lao Cai City, Lao Cai Province, Vietnam, OANH DR. DANG THI , TRANG BUI QUYNH ,   Thai Nguyen University – Lao Cai Campus,Group 13, Binh Minh Ward, Lao Cai City, Lao Cai Province, Vietnam
Published: June 2023

From the application of theoretical issues about the local community in sustainable tourism development, the article analyzes and evaluates the role, level and form of participation of the local community – Black Ha Nhi people Y Ty in local sustainable tourism development. The studies show that at the Y Ty destination, the Black Ha Nhi have actively participated in the development of tourism in the locality. It can be said that they are the people who laid the foundation, pioneered and are an indispensable core component for local tourism activities. However, due to many different reasons (the economic conditions of the local community are still difficult, the level of awareness, especially awareness of knowledge, experience, and skills in tourism, etc.) is still limited. Their participation in tourism activities has not been highly effective. From there, the article proposes some recommendations to promote strengths and take advantage of opportunities; to limit weaknesses and challenges to promote more effectively the role of the Black Ha Nhi in particular, the local community in general, in the sustainable development of tourism in Y Ty.