bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep Fading Effect On an Individual Link of 4 × 4 Mimo Communication Systems
Authors: Salemdeeb Mohammed , Abu-Hudrouss Ammar 
Published: April 2023

The hottest issue of next generation communication systems is data throughput improvement for any wireless channel conditions. Multi-Input Multi-Output (MIMO) systems are the key technology for the next generation communication systems. Bill Lab Layered Space Time (BLAST) system achieves high data rates with acceptable BER performance over a good channels state. However, when the wireless channel has a considerable fading then the performance will be decreased and at a deep-fading state the system may fail to transmit any signal. This paper studies and compares the conventional 4 × 4 Vertical BLAST system capacity and bit error rate (BER) performance at Maximum Likelihood (ML) receiver through a simulation. It also studies the effect of a transmit-link deep-fading on the effective signal to noise ratio, system BER and system capacity in 4 × 4 VBLAST system in a comparative way with the conventional 4× 4, 3× 4, 2× 4 and 1× 4 VBLAST system. Considering that every possible case of transmit link deep fade lower than -20dB fading gain is equivalent to switching off this transmit link and mostly all of its power will be wasted. MATLAB software has been used as the main platform for system simulation.

تسعى هذه الدراسة للكشف عن اهمية تحسين معدل نقل البيانات في انظمة الاتصالات بغض النظر عن ظروف القناة اللاسلكية، لان انظمة الاتصالات ذات المداخل والمخارج المتعددة تعتبر التكنولوجيا الاساسية في انظمة الاتصال في الاجيال القادمة من هذه التكنولوجيا، ولما كان نظام بيل المتعدد الطبقات الزمكاني (البلاست) يحقق معدل بيانات عالياً – مع نسبة خطأ مقبولة – حال كون القناة اللاسلكية في حالة جيدة، فإن هذا لا يمنع تراجع الاداء إذا عانت القناة اللاسلكية من تخميد وإن كان التخميد عميقاً قد يتعرض النظام للفشل في ارسال البيانات بصورة صحيحة. ومن هنا فإن الدراسة تسعى لفحص ومقارنة سعة ومعدل الخطأ في نظام 4 × 4بلاست العمودي حال استخدام نظام الأفضلية المثلى في عملية الاستقبال. كما تسعى ايضا لدراسة تأثير وجود تخميد عميق في أحد قنوات الارسال الاربعة على معامل نسبة الاشارة الي الضوضاء، وكذلك معدل الخطأ ومتوسط سعة القناة، اخذةً بعين الاعتبار أن معامل التخميد إذا قل عن -20 ديسبل فانه يكافئ حالة قطع الارسال عبر القناة، وأن طاقة الارسال المستخدمة في هذه الحالة ستضيع هباءاً. وقد استخدم الباحث برنامج الماتلاب كاساس للمحاكاة في هذه الدراسة.
Using Molecular and Biological Tools for Assessment of TYLCV Resistant Tomato Cultivars Commercially Grown in Southern Palestine
Authors: Amro Sahar , Alkowni Raed , Hamdan Abdul-Jalil 
Published: April 2023

Tomato, considered one of most important and popular crop, was infected by Tomato Yellow Leaf Curl Virus (TYLCV) which causes significant yields loss. Biological and molecular tools were used to evaluate the TYLCV incidence on tomatoes grown under commercial conditions. A total number of 72 tomato plants from each eight different tomato cultivars commercially planted in Palestine were tested for their virus infection which occurred naturally. The virus incidence was reported biologically based on visual inspections for the disease symptoms and molecularly by PCR tests, in two growing season periods: Summer (2006) and spring (2007). As a result, no cultivars were found “immune” to virus infection. However, fundamental differences in symptoms development and severity had been discovered. This study, which was carried out for the first time in Palestine, showed that some cultivars such as “3060” could be targeted as promising virus-tolerant ones. The sensitivity of molecular methods over bioassays was evaluated, and combined methods were suggested for any cultivars resistance assessments. Besides, research results revealed that the experimental conditions in Spring were not in favor of the virus spread, as the main virus vector (Bemisia tabaci) population number would be lower in the Summer season; thus the Spring season is seen as the best one for farmers to escape from TYLCV infections.

تعتبر البندورة واحدة من المحاصيل المهمة والشعبية، ولكنها تصاب بفيروس تجعد واصفرار اوراق البندورة (TYLCV) مما يسبب خسارة كبيرة في الانتاج. تم استخدام الأدوات البيولوجية والجزيئية لتقييم الإصابة على البندورة والتي نمت في الظروف التجارية. تم اختبار 72 من نبات الطماطم لكل صنف من الأصناف الثمانية للطماطم المختلفة والمستعملة تجاريا في فلسطين، وذلك بفحص اصابتها بالفيروس المنتقل اليها بشكل طبيعي. حيث تم ثبوت وقوع الاصابة الفيروسية بيولوجيا عن طريق عمليات التفتيش البصرية لأعراض المرض، وجزيئيا عن طريق اختبارات تضاعف الحمض النووي (PCR)، وذلك في موسمين: صيف (2006) وربيع (2007). وكانت النتيجة لذلك انه لا توجد "مناعة" لعدوى الفيروس لأي من الأصناف المختبرة. ومع ذلك، فقد كشفت الدراسة، والتي تجرى للمرة الأولى في فلسطين، اختلافات جوهرية في تطور المرض وشدة الاصابة. حيث أظهرت النتائج انه يمكن استهداف بعض الأصناف الواعدة مثل "3060" لكونها الاكثر تحملا للفيروس. تم كذلك تقييم حساسية الاختبارات الجزيئية مقارنة بمثيلاتها البيولوجية، واقتراح استعمال الاختبارين معا في تقييم أي أصناف مقاومة. اضافة الى ذلك، كشفت النتائج أن الظروف التجريبية في الربيع لم تكن في صالح انتشار الفيروس، حيث أن تعداد ناقلات الفيروس الرئيسة (الذبابة البيضاء) تكون أقل من موسم الصيف، مشيرة الى ان هذا الموسم هو الأفضل للمزارعين للهروب من الاصابة بالفيروس (TYLCV).
FARUL3S: a New Framework for Agile Regulated Ultra-Large-Scale Software Systems
Authors: KSIKSI Amira , Lazzez Onsa , Ltifi Hela , Hamdani Tarek M. , Alimi Adel M. 
Published: April 2023

<p>The Ultra-Large Scale Software (ULSS) system is a novel generation of software systems that requires to be managed and developed across multiple organizations. Such a system challenges the existing agile methods and scaled agile methods as they address only the intra-organizational cooperation. In fact, for inter-organizational coordinations, the ULSS systems have to be regulated as a city rather than being engineered as a building. This paper provides the first Framework for Agile Regulated Ultra-Large-Scale Software System (FARUL3S) that intends to regulate the ULSS systems by constraining the design spaces’ exploration. To this end, we introduced the System Design Rules Hierarchy (SDRH) as a hierarchy of dominance relations that covers the system, platform and application levels. The SDRH, which is the main artifact of our framework, ensures a distributed design spaces’ exploration and helps to provide the interoperability between the different component parts of the ULSS system. The NOV-based analysis of two case studies from the Smart City System prove that the ULSS system regulation improves the added value over its engineering. Thus, to conclude, regulating the ULSS systems makes the system more than the sum of its elements. </p>
Artificial Intelligence and Biosensors in Healthcare and its Clinical Relevance: A Review
Authors: Qureshi Rizwan , Irfan Muhammad , Ali Hazrat , Khan Arshad , Ali Shawkat , shah zaigham , Gondal Taimoor Muzaffar , Sadak Ferhat , Shah Zubair , Hadi Muhammad Usman , Khan Sheheryar , Bermak Amine , shekhar aditya 
Published: April 2023

<p>Data generated from sources such as wearable sensors, medical imaging, personal health records, pathology records, and public health organizations have resulted in a massive information increase in the medical sciences over the last decade. Advances in computational hardware, such as cloud computing, Graphical Processing Units (GPUs), and Tensor Processing Units (TPUs), provide the means to utilize these data. Consequently, many Artificial Intelligence (AI)-based methods have been developed to infer from large healthcare data. Here, we present an overview of recent progress in artificial intelligence and biosensors in medical and life sciences. We discuss the role of machine learning in medical imaging, precision medicine, and biosensors for the Internet of Things (IoT). We review the most recent advancements in wearable biosensing technologies that use AI to assist in monitoring bodily electro-physiological and electro-chemical signals and disease diagnosis, demonstrating the trend towards personalized medicine with highly effective, inexpensive, and precise point-of-care treatment. Furthermore, an overview of the advances in computing technologies, such as accelerated artificial intelligence, edge computing, and federated learning for medical data, are also documented. Finally, we investigate challenges in data-driven AI approaches, the potential issues that biosensors and IoT-based healthcare generate, and the distribution shifts that occur among different data modalities, concluding with an overview of future prospects </p>
Hands-Free Physical Human-Robot Interaction and Testing for Navigating a Virtual Ballbot
Authors: Song Seung Yun , Marin Nadja , Xiao Chenzhang , Okubo Ryu , Ramos Joao , T. Hsiao-Wecksler Elizabeth 
Published: April 2023

<p>This is a submitted (IEEE RO-MAN 2023) draft of a paper on the testing of a hands-free human-robot interaction for navigating a ballbot in a virtual environment. In this study, able-bodied users and manual wheelchair users controlled a virtual ballbot using a hands-free (HF) lean-to-steer control concept that uses torso motions. A custom sensor system (i.e., Torso-dynamics Estimation System (TES)) was utilized to measure and convert the dynamics of the rider’s torso motions into commands to provide HF control of the robot. A simulation study was conducted to explore the efficacy of the HF controller compared to a traditional joystick (JS) controller, and whether there were differences in performance by manual wheelchair users (mWCUs), who may have reduced torso function, compared to able-bodied users (ABUs). Twenty test subjects (10 mWCUs + 10 ABUs) used the subject-specific adjusted TES while wearing a virtual reality headset and were asked to navigate a virtual human rider on the ballbot through obstacle courses replicating seven indoor environment zones. </p>
Adopting Artificial Intelligence Algorithms for Remote Fetal Heart Rate Monitoring and Classification using Wearable Fetal Phonocardiography
Authors: ABBURI RADHA , Hatai Indranil , Jaros Rene , Martinek Radek , Babu T. Arun , Babu Sharmila Arun , Samanta Sibendu 
Published: April 2023

<p>This work utilizes a wearable phonocardiogram belt for acquiring signals from remote areas. Four sequential methodologies are undergone in the proposed work for resilience, and effectiveness. Intelligent, and accurate FHR monitoring. At first, the noise and artifacts are removed by performing two levels pre-processing methodology method. The low frequency noises are removed by Chebyshev II High Pass Filter and high frequency noises are removed by a hybrid of EC2EMDAN- PS-MODWT filters respectively. In the next step, the denoised signals are segmented for reducing the complexity in which the segmentation is performed using Multi Agent Deep Q-Learning (MA-DQL) algorithm based on several constraints. Further, the segmented signal is provided for reducing the redundancies in cardiac cycles using Artificial Humming Bird Optimization (AHBO) algorithm. The segmented and non-redundant signals are converted into 3D spectrograms using a machine learning algorithm named Variational Auto Encoder-General Adversarial Networks (VAE-GAN) for analyzing the signals with better visual interpretation in 3D space. Finally, utilizing the 3D spectrogram analysis the feature extraction and classification is taken place by adopting a hybrid of Bidirectional Gated Recurrent Unit (BiGRU) and Multi Boosted Capsule Network (MBCapsNet) into three classes such as normal (110-160 BPM), abnormal (above 180 BPM), and Suspicious (fluctuates between normal and abnormal). The proposed work is implemented and simulated in the MATLAB R2020a tool and the performance is validated by adopting effective validation metrics. The outcomes demonstrate that the suggested work performs better than the current works. </p>
Adopting Artificial Intelligence Algorithms for Remote Fetal Heart Rate Monitoring and Classification using Wearable Fetal Phonocardiography
Authors: ABBURI RADHA , Hatai Indranil , Samanta Sibendu 
Published: April 2023

<p>This work utilizes a wearable phonocardiogram belt for acquiring signals from remote areas. Four sequential methodologies are undergone in the proposed work for resilience, and effectiveness. Intelligent, and accurate FHR monitoring. At first, the noise and artifacts are removed by performing two levels pre-processing methodology method. The low frequency noises are removed by Chebyshev II High Pass Filter and high frequency noises are removed by a hybrid of EC2EMDAN- PS-MODWT filters respectively. In the next step, the denoised signals are segmented for reducing the complexity in which the segmentation is performed using Multi Agent Deep Q-Learning (MA-DQL) algorithm based on several constraints. Further, the segmented signal is provided for reducing the redundancies in cardiac cycles using Artificial Humming Bird Optimization (AHBO) algorithm. The segmented and non-redundant signals are converted into 3D spectrograms using a machine learning algorithm named Variational Auto Encoder-General Adversarial Networks (VAE-GAN) for analyzing the signals with better visual interpretation in 3D space. Finally, utilizing the 3D spectrogram analysis the feature extraction and classification is taken place by adopting a hybrid of Bidirectional Gated Recurrent Unit (BiGRU) and Multi Boosted Capsule Network (MBCapsNet) into three classes such as normal (110-160 BPM), abnormal (above 180 BPM), and Suspicious (fluctuates between normal and abnormal). The proposed work is implemented and simulated in the MATLAB R2020a tool and the performance is validated by adopting effective validation metrics. The outcomes demonstrate that the suggested work performs better than the current works. </p>
Innovative potential and problems of sustainable development of the sphere of circulation in the russian federation
Authors: Ramazanov Ibragim , Panasenko Svetlana , Stolyarova Alla , Mayorova Elena , Nikishin Alexander , Pankina Tatyana 
Published: April 2023

Objective: The purpose of the study is to identify the potential, problems, and likely directions of innovative development of the sphere of circulation. Like other sectors of the Russian economy, it is facing increased competitive pressure from innovatively active multinational trading companies and accelerating changes in the global market environment.
Methods: The methods used in the study include general scientific methods such as situational, complex, system, tabular, and graphical methods, as well as the method of comparative analysis and index methods, such as the indices of internal innovation activity. These methods were used to collect primary information and assess the internal innovation potential of the Russian economy in the context of open innovation.
Results: This article solves the problem caused by the lack of innovative potential, knowledge, and competencies necessary for Russian companies in the sphere of circulation to apply innovative business models adapted to global changes taking place in the world economy under the influence of innovative processes.
Conclusion: The article evaluates the innovative potential of individual sectors of activity and the Russian economy as a whole, provides a comparative analysis of the innovative activity of the Russian Federation and the countries of the world, and global trends in the development of innovation and digital processes.
Galaxy and Mass Assembly (GAMA): Low-redshift Quasars and Inactive Galaxies Have Similar Neighbors
Authors: Stone Maria B. , Wethers Clare F. , de Propris Roberto , Kotilainen Jari , Acharya Nischal , Holwerda Benne W. , Loveday Jonathan , Phillipps Steven 
Published: April 2023

Abstract
We explore the properties of galaxies in the proximity (within a ∼2 Mpc radius sphere) of Type I quasars at 0.1 <z <0.35, to check whether and how an active galaxy influences the properties of its neighbors. We further compare these with the properties of neighbors around inactive galaxies of the same mass and redshift within the same volume of space, using the Galaxy and Mass Assembly spectroscopic survey. Our observations reveal no significant difference in properties such as the number of neighbors, morphologies, stellar mass, star formation rates, and star formation history between the neighbors of quasars and those of the comparison sample. This implies that quasar activity in a host galaxy does not significantly affect its neighbors (e.g., via interactions with the jets). Our results suggest that quasar host galaxies do not strongly differ from the average galaxy within the specified mass and redshift range. Additionally, the implication of the relatively minor importance of the environmental effect on and from quasars is that nuclear activity is more likely triggered by internal and secular processes.
Les rapports entre parti et État en Chine aujourd’hui : une clé de lecture soviétique
Authors: Sperber Nathan 
Published: April 2023

Les rapports entre parti et État en Chine aujourd’hui : une clé de lecture soviétique L’architecture politique chinoise actuelle a été héritée de l’URSS ; pourtant elle est rarement appréhendée à l’aune de ce précédent historique. Cette étude analyse la relation asymétrique entre le Parti communiste chinois et la puissance publique à la lumière des formes et des pratiques du Parti communiste de l’Union soviétique post-stalinien. On relève l’homologie des structures partidaires et étatiques en URSS et en Chine, ainsi que la pénétration de l’État par le Parti dans ces deux configurations. Dans le cas chinois, cependant, des mécanismes institutionnels propres – tels que les groupes du Parti ( dangzu ) – constituent des moyens de contrôle sur l’appareil étatique inconnus en URSS. Le pouvoir chinois actuel se distingue par une conception absolutiste du rôle dirigeant du Parti, à rebours d’efforts entrepris par le passé pour circonscrire son périmètre d’intervention et pour le rapprocher du fonctionnement alors en vigueur en Union soviétique.
Le « tianxia » selon Zhao Tingyang : l’ordre du monde de Confucius à Mao
Authors: Murthy Viren 
Published: April 2023

Devant les désordres du monde d’aujourd’hui, il existe au sein du confucianisme chinois un courant qui tente, dans les termes traditionnels du tianxia , « tous sous le ciel », d’esquisser les contours d’un nouvel ordre du monde et d’un horizon soutenable pour l’avenir. En le rapportant aux perspectives marxistes, cet article s’efforce de dégager ses motifs essentiels et de décrypter les termes du débat auquel il donne lieu. Quels enseignements parvient-il à dégager de cette philosophie millénaire ? Est-il à comprendre comme une alternative au marxisme ? Ou bien serait-il capable de se repenser autour d’une critique de l’impérialisme ? L’article interroge en ce sens un auteur contemporain significatif, Zhao Tingyang.
Modernisation à la chinoise et possibilités d’une nouvelle forme de civilisation
Authors: Xiaoming WU , Tao Qi , Schweisguth Soline 
Published: April 2023

Les débats actuels au sujet de la « voie chinoise » sont intimement liés à deux questions primordiales. Premièrement, quelle espèce de modernisation cette « voie chinoise » représente-t-elle ? Et deuxièmement, quel rapport entretient-elle avec la sinisation du marxisme ? Cet article vise à répondre à ces enjeux à partir d’une double perspective, celle du récit historique et celle de la philosophie de l’histoire. Cet article soutient que la modernisation à la chinoise est née des conditions historiques particulières du xx e siècle et que la sinisation du marxisme, en tant que méthodologie, s’est montrée capable de cerner la nature et la signification de ces conditions. Au xxi e siècle, la « voie chinoise » représente un projet socialiste en renouvellement continu. Apportant un début de réponse à la crise mondiale du post-néolibéralisme, elle en quête des possibilités d’une nouvelle forme de civilisation.
De quoi l’errance des jeunes est-elle le nom ? Les aventures d’un terme
Authors: Chobeaux François 
Published: April 2023

En 30 ans, l’utilisation du terme « jeunes en errance » s’est fortement développée. Ce terme sert aujourd’hui à qualifier de nombreuses populations de jeunes très différentes dans leurs dynamiques sociales, en laissant cependant penser que dire « jeunes en errance » suffit à définir clairement ce dont et de qui il est question. Ce processus d’essentialisation ne permet pas de développer une pensée et des actions argumentées et adaptées. L’auteur propose de croiser les acquis de la psychopathologie du développement et de la sociologie de l’exclusion afin de dépasser l’écueil de pseudo-définitions uniquement descriptives.
Souvenirs de la guerre
Authors: Gasparyan Tigran , Vickery Shaké , Mchétsian Marinée 
Published: April 2023

Cette histoire est le souvenir d’un soldat, Tigran Gasparyan, qui était un participant actif et survivant de la guerre du Haut-Karabakh de 2020. L’histoire a été écrite en juillet 2021, dans la salle/chambre 315 de Mountainous Armenia Health Resort à Dilijan, en Arménie. À cette époque, beaucoup de soldats recevaient un traitement psychologique et médical professionnel grâce à l’association humanitaire Action Santé Arménie France ( asaf ). En plus de passer beaucoup de temps dans la nature, d’obtenir des soins médicaux et une thérapie psychologique, l’écriture a également beaucoup aidé Tigran.
La pause Brindille soutient les jeunes aidants
Authors: Negrini Éléonore , Billy Rebecca 
Published: April 2023

Ces jeunes, au quotidien atypique, portent sur leurs épaules un fardeau important, une lourde charge mentale et des responsabilités parfois disproportionnées. Ce n’est pas sans conséquence sur leur vie personnelle, leur construction identitaire, leurs projets. Comment prévenir les risques auxquels ils sont exposés et leur permettre de mener une jeunesse épanouie, d’être en lien avec les jeunes de leur âge, comment libérer la parole ?
Les technologies du numérique font à la fois partie du problème et de la solution en matière environnementale
Authors: Geoffron Patrice 
Published: April 2023

Le débat relatif à l’impact environnemental du numérique présente un degré de complexité qui ne peut être approché à la seule observation de la progression de son poids dans les émissions de CO 2 ou les consommations électriques. Des travaux récents permettent de mieux appréhender ses effets induits, en établissant notamment dans quel sens les usages du numérique influencent la trajectoire des émissions des États ou agissent sur des cobénéfices de l’action climatique (comme la qualité de l’air). En outre, ces analyses devront être resituées dans le prolongement de la crise sanitaire (et du développement des activités socio-économiques « à distance »), ainsi que dans celui de la crise énergétique (qui implique une optimisation de systèmes gagnant en complexité du fait d’un développement accéléré des renouvelables, des efforts d’efficacité…). Ces travaux débouchent sur un constat contrasté de l’impact environnemental du numérique (qui, toutefois, n’invalide pas l’impératif de l’effort de sobriété).