bluuebunny/crossref_metadata_2025 huggingface dataset:
Régionalisations et régionalismes dans une Europe élargie : les enjeux d'une comparaison Est-Ouest
Authors: Pasquier Romain , Perron Catherine
Published: March 2023

Regionalization and regionalisms in a bigger Europe: The issues in an East-West comparison

In recent decades, the framework for analyzing regional issues has nearly always been based on empirical cases from western Europe. Three principal patterns can be distinguished: the ethno-territorial constructivist current of thought, the multi-level governance model and neoregionalism. But can they be generalized to a EU with 27 members? Does the bigger EU imply changing our grids for interpreting regional phenomena in Europe? After testing these theoretical west European patterns by applying them to eastern Europe, a series of variables is presented for restudying regionalism and regionalization in an enlarged Europe.
Une régionalisation sous étroite surveillance : l'exemple tchèque d'une régionalisation sans régionalisme
Authors: Perron Catherine
Published: March 2023

Tightly supervised regionalization:

The Czech example of regionalization without regionalism

One of the principal reforms made during the post-Communist era in central and eastern European countries has been the establishment of regional structures. It occurred while a wave of regionalization was sweeping over western Europe. Unlike in the West however, where grassroots political, economic and social forces were at work (along with external factors such as globalization and Europeanization), regionalization in the Czech Republic took place in the absence of any mobilization of regional or regionalist forces. Regional construction was launched at the top of the state, on the initiative of the ruling elites who wanted to both rationalize the operation of the territorial administration and, above all, maintain their control over state power and resources. What kind of regional forces might emerge out of the establishment of regions and, as a consequence, the reception of EU structural funds?
Deux modèles de pouvoir : une étude empirique dans le milieu carcéral russe
Authors: Oleinik Anton
Published: March 2023

Two models of power: An empirical study in theRussian carcéral environment

Deeply enrooted in Russian history, the samovlastie runs through the history of the Soviet and post-Soviet periods. This particular model of power has five characteristics: (i) it is a "power over" rather than the "power to"; (ii) relations between superior and inferior are extremely asymmetrical; (iii) the inferior have no say; (iv) the only justification of this power is the exercise of power itself; and (v) violent techniques (force, coercion, manipulation) prevail. The reproduction of samovlastie through the Soviet and post-Soviet history can explain the continuity in Russia's political and economic evolution. An alternative model of power relations, illustrated by informal leaders in prison, differs from the samovlastie in all five respects. In the repertory of techniques, a new one - "domination by virtue of a constellation of interests" - has arisen out of a nearly rational choice in the conditions of imperfect competition and other biases in market structure.
Actualización sobre terminología y diagnóstico del sangrado.
Authors: Campos Rios Melanie Fiorelle , Campos Rios Stephanie Andrea , Correa Fuentes Maria Monserrath , Ceciliano Rojas Guillermo Antonio , González Solano Ericka
Published: March 2023

El sangrado uterino anormal representa al menos un tercio de las consultas ginecológicas por causa de los síntomas de esta patología. A pesar de que no es un diagnóstico en sí, el mismo se presenta como una variación en la duración, variabilidad, volumen y frecuencia del sangrado durante la menstruación de la paciente. Al manifestarse, se debe considerar su probable etiología, por medio del acrónimo conocido como PALM-COEIN, el cual se basa en causas estructurales y no estructurales que originan el sangrado uterino anormal. Así mismo poder direccionar el diagnóstico, según las características del sangrado en la paciente.
Ortopantomografía (OPG) vr. Tomografía Computada (CT) en Imágenes Odontológicas Dentales
Authors: Solis Vargas Luis Diego
Published: March 2023

Las imágenes médicas de la anatomía maxilofacial pueden ser consideradas como una de las más difundidas e importantes en la imagen diagnóstica de la actualidad.

Una imagen del aparato masticatorio es relevante desde el punto de vista de la medicina, para tratamientos tan comunes como una ortodoncia hasta tratamientos complejos como un implante óseo.

Actualmente los tipos de imágenes para diagnóstico más utilizadas en este campo son la Radiografía Panorámica Tradicional en el campo de la Ortopantomografía (OPG) y la Tomografía Computada (CT). Los odontólogos y médicos actuales solicitan este tipo de exámenes médicos para hacer diagnóstico de enfermedades, lesiones o estudios previos a los tratamientos.

Dado que estas imágenes médicas son las más comunes y difundidas, es importante conocer que características, ventajas y desventajas ofrecen cada una de ellas en el contexto de la odontología y que aplicaciones clínicas específicas existen para OPG y CT.

En esta investigación se expondrá también temas poco estudiados en las imágenes médicas del sistema maxilofacial y odontológicas, como lo es el cálculo de dosis y protección radiológica tanto en OPG como en CT. Se expondrá brevemente también, aspectos básicos de la calidad de imagen en ambos tipos de obtención de imagen. Finalmente se expone una comparación entre ambos métodos.
Meralgia parestésica: manejo y tratamiento
Authors: Solano Villalobos Montserrat , Elescano Delgado Jessica , Rodríguez Jarquín Dylana
Published: March 2023

La meralgia parestésica o neuralgia del nervio femorocutáneo es una enfermedad que se caracteriza por parestesias, adormecimiento, debilidad y dolor tipo quemante en la parte externa del muslo. La principal causa es la compresión del nervio cutáneo femoral lateral el cual es un nervio sensitivo puro, que se forma por la unión de las raíces nerviosa de L2-L3 yes el principal encargado de la sensibilidad de la región anterior y la mitad superior de la cara lateral del muslo. Es una enfermedad que afecta predominantemente a pacientes entre los 30 y 40 años con mayor incidencia en el género masculino.En la mayoría de los casos, las causas más frecuentes se deben a obesidad, embarazo, ropa ajustada, así como también, a un traumatismo local o a una enfermedad como la diabetes mellitus. En la mayoría de los casos, el manejo consiste en medidas moderadas, sin embargo, en casos graves el tratamiento puede constar de medicamentos analgésicos y en raras ocasiones, tratamiento quirúrgico.
Pengaruh Kepemimpinan Transformasional terhadap Prestasi Kerja dan Organizational Citizenship Behavior Melalui Corporate Social Responsibility
Authors: Zalianty Rizky , Rojuaniah
Published: March 2023

Peneltian ini bertujuan untuk menganalisis seberapa besar pengaruh kepemimpinan transformasional terhadap prestasi kerja dan organizational citizenship behavior (OCB) yang dimediasi oleh corporate social responsibility (CSR). Data penelitian ini diperoleh dengan menyebarkan kuesioner yang menggunakan skala likert dengan jumlah sampel 150 responden. Pengambilan sampel menggunkan teknik purposive sampling dengan kriteria yakni karyawan PT Panasonic Gobel Energy Indonesia yang masa kerjanya >2. Data dianalisis menggunakan PLS-SEM. Hasil penelitian menunjukan bahwa Kepemimpinan transformasional berpengaruh positif terhadap prestasi kerja dan OCB. Secara khusus CSR  dapat memediasi Kepemimpinan transformasional terhadap OCB dan CSR dapat memediasi Kepemimpinan transformasional terhadap Prestasi kerja. Hasil penelitian juga terdapat temuan yang menyatakan bahwa keamanan dan kenyamanan lingkungan perusahaan menjadi output yang diingkan oleh para karayawan dalam melaksankan pekerjaan.
Sistema de Enfermagem apoio-educação na promoção do autocuidado a gestante de alto risco
Authors: Mendes Ryanne Carolynne Marques Gomes , Cabral Melo Holanda Priscila , Pontes Cleide Maria , Mangueira Suzana de Oliveira , Linhares Francisca Márcia Pereira
Published: March 2023

Objetivo: analisar as ações do sistema de Enfermagem apoio-educação proposto pela Teoria dos Sistemas de Enfermagem de Dorothea Orem, na promoção do autocuidado a gestantes de alto risco a partir dos diagnósticos de Enfermagem da taxonomia da NANDA-I. Método: revisão integrativa realizada nas bases de dados CINAHL, Medline/Pubmed, Scopus, Web of Science, Embase, Science Direct, Cochrane Library, biblioteca SciELO e Biblioteca Virtual em Saúde. Resultados: a amostra foi composta por 17 artigos que evidenciaram que as ações ocorrem, principalmente, por meio de orientações sobre o plano de cuidados, a adoção de hábitos saudáveis, a cessação do uso de drogas, o controle de doenças e a manutenção do vínculo com a Atenção Primária à Saúde (APS). Conclusão: as principais ações do sistema de Enfermagem apoio-educação na promoção do autocuidado a gestantes de alto risco foram realizadas por meio da implementação de intervenções de Enfermagem voltadas às orientações sobre a importância da realização do pré-natal e prática de hábitos saudáveis durante a gestação. Essas ações foram benéficas para as gestantes de alto risco e são comuns a maioria dos diagnósticos de Enfermagem identificados na população em estudo.
Construção e validação do instrumento de verificação da adesão às diretrizes brasileiras de ventilação mecânica
Authors: Celeste Larissa Fernanda do Nascimento , Silva Sheila Aparecida da , Raponi Maria Beatriz Guimarães , Barbosa Maria Helena , Bernardinelli Fabiana Cristina Pires , Chavaglia Suzel Regina Ribeiro
Published: March 2023

Objetivo: construir e validar um instrumento para verificar a adesão às recomendações das Diretrizes Brasileiras de Ventilação Mecânica dos profissionais de saúde envolvidos na assistência aos pacientes em Ventilação Mecânica Invasiva. Método: estudo metodológico conduzido entre setembro e dezembro de 2019, em um hospital público com 87 pacientes. Adotou-se o Índice de Validação de Conteúdo para a validação de conteúdo, o Coeficiente de Correlação de Pearson para a validade de critério, o alfa de Cronbach para a consistência interna, o Coeficiente Kappa e o Coeficiente de Correlação Intraclasse para a confiabilidade interobservador. Resultados: o instrumento apresentou validade de conteúdo e consistência interna aceitável. A correlação de Pearson, indicou uma correlação do escore de adesão com a saturação (r=0,31; p≤0,005), o escore médio para o observador A e B resultou, respectivamente, em 88,89(±5,23) e 88,86(±5,34) e o intervalo de confiança foi de 0,96. Conclusão: o instrumento se mostrou válido e confiável para verificar a adesão às Diretrizes Brasileiras de Ventilação Mecânica dos profissionais.
Enhanced dielectric/ferroelectric properties of P(VDF-TrFE) composite films with organic perovskite ferroelectrics
Authors: Li Chaoyang , Cai Yichen , Xie Yongfa , Sheng Chenxu , Qin Yajie , Cong Chunxiao , Qiu Zhi-Jun , Liu Ran , Hu Laigui
Published: March 2023

With excellent stability, flexibility, and piezoelectricity, poly(vinylidene fluoride) (PVDF) and its copolymer [P(VDF-TrFE)] have received much attention. However, the applications for its ferroelectricity still suffer the drawbacks of relative low remanent polarization (P
r) and high coercive electric field (E
c). In this work, P(VDF-TrFE) composite films were fabricated with the additive of organic perovskite ferroelectric MDABCO-NH4I3. Compared with pure P(VDF-TrFE), the P
r increases from 7.17 to 12.7 μC cm−2, while E
c decreases from 516 to 324 kV cm−1 as well as increased permittivity from 15.6 to 37.0. These may provide an alternative way for ferroelectric memory, sensors, and energy storage devices.
Complex Regional Pain Syndrome of the Foot and Ankle: Treatment at the Early Onset with an Anesthetic Ankle Block
Authors: Nirenberg Michael
Published: March 2023

Background: Complex regional pain syndrome (CRPS) is a potentially severely painful and debilitating disorder that frequently affects an extremity after surgery or even a minor injury. Treatment of CRPS can be challenging, and due to some patients’ co-morbidities, treatments may be limited. Case Report: Retrospective review of 20 patients who were diagnosed with CRPS of the foot and/or ankle early (within 45 days of onset) and who were adjunctively treated with ring-type ankle blocks of bupivacaine with dexamethasone. Patients who benefited from the treatment were monitored for 12 months. Conclusion: When CRPS of the foot and/or ankle was diagnosed early and adjunctively treated with one or two 2 ankle blocks of bupivacaine with dexamethasone, the condition resolved completely for 18 of the 20 patients (90%). The ankle block is a simple, safe treatment with the potential to assist in alleviating CRPS of the foot and/or ankle when the condition is diagnosed early. Key words: Ankle, ankle block, complex regional pain syndrome (crps), foot, local anesthesia
COMPARATIVE STUDY BETWEEN DELAYED UMBILICAL CORD CLAMPING AND MILKING OF UMBILICAL CORD IN REGARD OF HEMATOCRIT LEVELAND NEURODEVELOPMENTAL OUTCOME AMONG PRETERM/LOW BIRTH WEIGHT BABIES IN A TERTIARY CARE HOSPITAL OF WEST BENGAL
Authors: Mitra Subhodip , De Saumyen , Mani Joardar Swarnali , Kumar Mandal Sandip , Bishnu Sanjoy , Shaw Nisha
Published: March 2023

Introduction: It is well established that Delayed cord clamping, in which cord is clamped only after a short delay (30 to 180 sec) after birth, improves iron status, reduce anemia and need for blood transfusion in later life, and also provides higher amount of placental stem cells to the infant without causing signicant harm to the mother and baby. Aims: To Compare Haematocrit level after 48 hours of age in preterm and low birth weight babies between the delayed umbilical cord clamping and umbilical cord milking and to compare neurodevelopmental outcome at third and six completed months of age in preterm and low birth weight babies between the delayed umbilical cord clamping and umbilical cord milking. Materials and Methods:The present study was a Hospital based Interventional study. This study was conducted from January 2021 – June 2022at Labour Room and operation theatre of College of Medicine & Sagore Dutta Hospital, Kolkata-700058, a tertiary centre in West Bengal.80 patients were included in this study. Result:In our study, higher number of patients had Neck Holding(6 months) [29 (72.5%)]in Milking of Umbilical Cord compared to Delayed Umbilical Cord Clamping [27 (67.5%)] but this was not statistically signicant (p=0.6255) And higher number of patients had Roll Over(6 months) [29(72.5%)]in Milking of Umbilical Cord compared to Delayed Umbilical Cord Clamping [27 (67.5%)] though it was not statistically signicant (p=0.1432). Conclusion: It was found that, the mean Birth Weight (gm.) was not signicantly lower in Milking of Umbilical Cord compared to Delayed Umbilical Cord Clamping. And the mean Haemoglobin at 48 hours was signicantly lower in Milking of Umbilical Cord compared to Delayed Umbilical Cord Clamping.
“COMPARISON OF PERIBULBAR ANESTHESIA WITH POSTERIOR SUBTENON'S ANESTHESIA IN MANUAL SMALL INCISION CATARACT SURGERY (MSICS)”
Authors: Tulasi R Yamini , H M Lokesh , Sagolsem Nivarani
Published: March 2023

Background: Cataract-related blindness is a huge problem in India, not only in terms of human suffering but also in terms of economic loss and social impact. For cataract extraction, retrobulbar anaesthesia was widely employed. Because of its substantial difculties, retrobulbar anaesthesia was replaced with peribulbar. Despite a two injection method Peribulbar anaesthesia has a very high failure rate. Subtenon's anaesthesia is becoming more popular in this situation, Because of its faster onset in delivering anesthesia, akinesia and patient compliance. A cross- Methods: sectional study in ophthalmology department at Sri Siddhartha Medical College, Tumkur was conducted over a period of 18 months in 150 MSICS participants , with 75 participants in each group. The efcacy and safety of two types of anaesthesia in MSICS were compared in terms of intraoperative analgesia, akinesia, lid movements, and complications. Out of Results: 75 participants in each group percentage with grade 0 pain in posterior subtenon's group was 64(83 %) as compared to 6( 8%) in peribulbar group. Among all 20 (27%) participants of peribulbar group and 2 (3%) of posterior subtenon's group had attained complete akinesia. Both the groups had experienced similar amount of lid movements. Occurrence of complications like chemosis and sub conjunctival hemorrhage was noted more in posterior subtenon's group when compared to peribulbar group
Design of Near-Field Beamforming for Large Intelligent Surfaces
Authors: Hu Sha , Wang Hao , ilter mehmet
Published: March 2023

In this paper, we propose a novel three-dimensional (3D) near-field beamforming (BF) design for Large Intelligent Surface (LIS). We firstly investigate the definitions of near-field and far-field of LIS, and derive the Fresnel near-field region where amplitudes variations are negligible and only phase variations worsen the harvested array-gains. We show that the Fresnel region which covers the majority part of near-field, can be enlarged by a factor of four when considering possible imperfectness from a conventional two-dimensional (2D) far-field BF. Therefore, it is of interest to design analog 3D-BF than can recover array-gain losses in this region. Secondly, with the proved decomposition theorem we show that the optimal 3D-BF can be decomposed into a 2D far-field BF and a one-dimensional (1D) near-field BF. The 2D far-field BF compensates phase variations from mismatches in the azimuth and elevation angles, while the 1D near-field BF compensates remaining phases variations caused by distance differences from the UE to different antenna-elements on LIS. Such a proposed “2D+1D” BF design reduces codebook size significantly and is fully compatible with the existing far-field BF in the fifth-generation new-radio (5G-NR) system. Thirdly, we analyze an optimal codebook design for the 1D near-field BF, and show that with a small codebook it can perform close to optimal. Numerical results further verify that our proposal is effective and robust to recover array-gains in the near-field of LIS. 
Enhancing Continuous Integration Systems with Assisted Root Cause Analysis
Authors: Bonic Sanja , Bonic Janos , Schmid Stefan
Published: March 2023

Contribution

We provide initial algorithms and a framework leading to assisted root cause analysis through a modular architecture including collection, identification, analysis, and presentation steps. Our proposed framework creates pre-structured data from vast heterogeneous datasets automatically, enriches the data with additional information from the CI system, and adds fine-grained default and user-defined labels that support the root cause analysis of failures.

Background

Projects spanning hundreds of thousands of lines of code and several thousand daily continuous integration workflows cannot rely on manual prelabeling and qualitative interviews to generate meaningful improvements to broken CI job runs.

Evaluation

We evaluated our approach by measuring manual root cause analysis times over several CI jobs. The data we used is publicly available via the Kubernetes and OpenShift projects, allowing every researcher to continue and reproduce our work.
Enabling Real-Time Remote Monitoring of Ships by Lossless Protocol Transformations
Authors: Longo Giacomo , Orlich Alessandro , Merlo Alessio , Russo Enrico
Published: March 2023

This paper uses data processing techniques to reduce the required transmission bandwidth in ship-to-shore communications. The proposed framework (ONline Efficient Sources Transmission Optimizer - ONESTO) leverages state-of-the-art technologies and novel algorithms to automatically optimize transmissions under structural (e.g., available bandwidth, fixed packet overhead) and user-defined (e.g., maximum latency) constraints. In addition, ONESTO authenticates and encrypts the communication between the ship and the shore via mainstream free and open-source software components. Initially, we present the abstract mathematical formulation of the problem, with its assumptions, goal function, constraints, and significant quantities. Then, we introduce the architecture of a system capable of continuously estimating the compressibility, processing and transmission time of streaming data. Such estimations allow ONESTO to calculate and apply optimal parameters for achieving the best compression ratio. Lastly, using a prototypical implementation, we evaluate the system performance with a Class B ship simulator on two realistic use cases. Our experiments show an excellent compression ratio with maritime protocols (more than 40:1) and a limited latency impact, demonstrating the approach’s viability.
A Smart Network Intrusion Detection System for Cyber Security of Industrial IoT
Authors: Gunjal Hardik , Patel Preetkumar , Alzhouri Dr Fadi , Ebrahimi Dr Dariush
Published: March 2023

The industrial sector has been making use of machines and sensors having the capability to communicate with each other. This forms a network of Industrial devices which is called Industrial Internet of Things (IIoT). IIoT is an emerging trend that can generate a huge amount of data that is vulnerable to cyber-attacks. In IIoT network, data and control instructions flow through Supervisory Control and Data Acquisition (SCADA) system. A Network Intrusion Detection System (NIDS) which can monitor realtime network traffic could be deployed between SCADA and the IIoT devices to detect cyber-attacks. NIDS with Deep Learning (DL) algorithms require large dataset for which CSE-CIC-IDS2018 and UNSW-NB15 dataset is used. The paper compares a Multi-Layer Perceptron(MLP), a Fully Connected Deep Neural Network (FCNN), and Convolutional Neural Network (CNN) on CSE-CIC-IDS2018 and UNSW-NB15 with XGBoost for feature selection.
Pilot Model for Fusion Power Ignition by Federating Acceleration Method
Authors: Yoon Jihyeon
Published: March 2023

Background: Amongst many suggestions toward fusion power ignition, particle acceleration related model has a advantage of reaching high temperature performance.

Objective: Suggesting a plasma enclosure model by applying particle acceleration could be tried.

Method: By given equation from unification of energy, application of heat and work transformation gives model to ignition of fusion power by accelerating fusion fuel.

Conclusion: By accelerating multiple inputs of fuel for fusion in an initiation of fusion power, higher temperature that meets requirement for nuclear fusion could be established.
Multisensed Emotions as Adaptation Controllers in Human-to-Serious NeuroGames Communication
Authors: Dias Sofia , Jelinek Herbert , Hadjileontiadis Leontios
Published: March 2023

Emotion is defined (from Britannica) as a complex combination of experiences of consciousness, bodily sensation and behavior, reflecting personal significance of externally and/or internally triggered changes. As an indispensable part of human communication, emotions could be represented within the digital world as means that could control the human interaction with the digital artifacts. When this is combined with gamification, a more engaging communication for the player could be established. In this article, we explore how multisensed emotions of players could be used as adaptation controllers within the emotion-aware serious neurogames (SNGs). We first briefly describe the emotion sensing and recognition landscape, examining the emotion-source sensing and emotion inferring approaches. We then discuss the SNGs design framework and the way human-to-SNG communication is set. Additionally, we describe the way the adaptation of the SNG characteristics can be driven by the inferred emotions, towards the achievement of the desired SNG goals. In addition, we demonstrate the feasibility and design characteristics of such multisensed emotion-aware SNGs, by presenting a related application case, namely EmoSense, and evaluate its acceptance as a technological solution in the field of neurofeedback. Finally, we discuss challenges and opportunities in the field. 
Expanding Wormhole Simulation with Majorana Particle
Authors: Yoon Jihyeon
Published: March 2023

Backgrounds: Based on SYK-related models, Majorana particle is a fermion that is its own antiparticle. Recent discovery on simulating traversable wormhole by quantum processor based on Majorana particle is a significant progress in quantum simulation. By adding possible extendable approaches, more possibility could be suggested. 

Objectives: Discovering symmetry conservation attribute from Majorana particle to expand its usage for wormhole.

Methods: By applying to the simplified non-unit model, additional considerations for simulating wormhole would be discovered.

Results: Additional considerations of expanding holographic wormhole could be discussed in model.
Continuous Controlling Vacuum in Accelerator
Authors: Yoon Jihyeon
Published: March 2023

This paper aims to suggest method for sustaining vacuum in particle accelerator while in an variety of circumstances.
Salinity-Based Molecular Communication in Microfluidic Channels
Authors: Angerbauer Stefan , Hamidović Medina , Enzenhofer Franz , Bartunik Max , Kirchner Jens , Springer Andreas , Haselmayr Werner
Published: March 2023

In this work, we present a novel portable, flexible and easy-to-use experimental setup for investigating salinity- based information transmission in microfluidic channels. At the receiver, the different salinity-levels are detected by a customized electronic circuit, which measures electrical conductivity via electrodes in the microfluidic channel. We provide a detailed de- scription of the setup, including the microfluidic chip fabrication. Moreover, we develop a rigorous mathematical model of each testbed component and an end-to-end model of the system, which we have verified through experiments. Finally, we analyzed the error performance of the setup using optimum and sub-optimum detection algorithms, such as the Viterbi algorithm and threshold detection.
An Energy-efficient Small-cell Operation Algorithm for Ultra-dense Cellular Networks
Authors: Hasan Md Mehedi , Haq Md. Shayanul , Hossain Md. Maruf , Tiash Junaed Kiron , Kwon Sungoh
Published: March 2023

In this paper, we propose an energy-efficient small cell operation algorithm for ultra-dense cellular networks to improve the energy efficiency of the networks. To that end, the algorithm generates a dataset consisting of the location information of inactive small cells and static UEs. For an overload condition in a macro cell, the algorithm performs clustering with the density-based spatial clustering of applications with noise to find clusters with small cells. Therefore, based on conditions a target cluster is selected and the small cells in the cluster are switched to the active mode in order to share loads from the macro cell. For an under-load scenario in the macro cell, the algorithm finds a small cell with the lowest radio load and conditionally switches the cell to sleep mode. Through systemlevel simulations, the performance of the proposed algorithm is evaluated. The simulation results showed that the proposed approach can ensure a higher energy efficiency than previous algorithms.
Understanding Fermat's Last Theorem through Matrix-Graph Relation
Authors: Yoon Jihyeon
Published: March 2023

Fermat's Last Theorem could be understood by ordinality that matrix provides in node-to-node relation in graph.
Understanding Riemann Hypothesis by Matrix-Graph Relation
Authors: Yoon Jihyeon
Published: March 2023

Understanding Riemann Hypothesis could be possible by in extension of understanding Fermat's Last Theorem.
JND-aware Two-pass Per-title Encoding Scheme for Adaptive Live Streaming
Authors: Menon Vignesh V , Rajendran Prajit T , Feldmann Christian , Schoeffmann Klaus , Ghanbari Mohammad , Timmerer Christian
Published: March 2023

Adaptive live video streaming applications utilize a predefined collection of bitrate-resolution pairs, known as a bitrate ladder, for simplicity and efficiency, eliminating the need for additional run-time to determine the optimal pairs for each video. These applications do not incorporate two-pass encoding methods due to increased latency. However, an optimized bitrate ladder could result in lower storage and delivery costs and improved Quality of Experience (QoE). This paper presents a Just Noticeable Difference (JND)-aware constrained Variable Bitrate (cVBR) Two-pass Per-title encoding Scheme (JTPS) designed specifically for live video streaming. JTPS predicts a content- and JND-aware bitrate ladder using low-complexity features based on Discrete Cosine Transform (DCT) energy and optimizes the constant rate factor (CRF) for each representation. The effectiveness of JTPS is demonstrated using the x265 open-source video encoder, with an average bitrate reduction of 18.80% and 32.59% for the same PSNR and VMAF, respectively, compared to the standard HTTP Live Streaming (HLS) bitrate ladder using Constant Bitrate (CBR) encoding. The implementation of JTPS also resulted in a 68.96% reduction in storage space with a negligible impact on streaming latency.
A Passivity-Based Small-Signal DEF Analysis for Low Frequency Oscillation Source Characterization of VSC-HVdc
Authors: Chatterjee Kaustav , Samanta Sayan , Chaudhuri Nilanjan Ray
Published: March 2023

In bulk power systems, detecting the sources of low-frequency oscillations is a challenging problem. Among the techniques available, the dissipating energy flow (DEF) method has emerged as a promising tool with notable success with real-world oscillation cases. While the mathematical justifications for the method's characterization of a device as an oscillation source (or sink) is well-studied for synchronous generators and standalone inverters, no insights have been developed for power-electronics-interfaced dc transmission systems. To fill this gap, this paper presents a theoretical analysis of the DEF in a voltage source converter-based high voltage direct current (VSC-HVdc) system. Passivity-based analysis is performed to explain why a VSC-HVdc system, operating at unity power factor, with the commonly used control strategy involving constant real power control, dc-link voltage control, and ac voltage -- reactive power droop control or constant reactive power control is a source of oscillation energy. Supporting case studies are performed on the IEEE 4-machine and 16-machine test systems. 
Design and Implementation of a CNTFET-Based Ternary Logic Processor
Authors: Gadgil Sharvani , Sandesh Goli Naga , Kumar V chetan
Published: March 2023

This paper proposes the design and implementation of a CNTFET-based Ternary Logic processor. The processors' fundamental blocks like the instruction fetch, register file, data memory, and control unit designs are also presented. HSPICE simulation for the processor using a standard CNTFET model is performed and its functionality is verified using a few benchmark programs.
INFORMATION AND CYBERSECURITY IN DIGITALLY TRANSFORMED E-COMMERCE LANDSCAPES IN 21ST CENTURY: AN OVERVIEW
Authors: Adakawa Murtala
Published: March 2023

It is a review paper aimed at raising the awareness of risk management officers working in industries.
Deep Learning based Track Prediction and Correction for Radar Targets
Authors: Kar Suryavijoy , Babu Sherin , Jain Dhruv , Shali Yedhu , S Saritha D , Bhat Rajshekhar , Bharath B N
Published: March 2023

Tracking targets moving in noisy environments via noisy observations is of crucial importance for various civilian and military applications. This involves, among other tasks, ascertaining the state of a target at a next time instant, called as track prediction, and combining the predicted state with a noisy observation to obtain an updated state at the current time instant, called as track correction. We consider track prediction and correction tasks of a radar target tracking application in a highly maneuvering scenario where the targets exhibit motion in a 3-dimensional space under randomly changing constant velocity, acceleration and turn models. The detections from the targets are available at irregular time intervals. We pose the problem of prediction (correction) as a time-series regression problem where several past detections along with their time stamps are used as input, and the next (respectively, current) detection is used as the expected output. We obtain temporal convolutional network (TCN) based models for prediction and correction, which are shown to perform significantly better than the classical pre- fixed interacting multiple model (IMM) algorithm under various different scenarios in terms of mean squared error between the true and predicted/corrected values, especially during model transitions and ascend/descend phases with manoeuvres. 
Ultrahigh bandwidth applications using optical microcombs
Authors: Moss David
Published: March 2023

We report ultrahigh bandwidth applications of Kerr microcombs at data rates beyond 10 Terabits/s. Optical neural networks can dramatically accelerate the computing speed to overcome the inherent bandwidth bottleneck of electronics. At the same time, digital signal processing has become central to many fields, from coherent optical telecommunications where it is used to compensate signal impairments, to image processing, important for observational astronomy, medical diagnosis, autonomous driving, big data and particularly artificial intelligence. Digital signal processing had traditionally been performed electronically, but new applications, particularly those involving real time video image processing, are creating unprecedented demand for ultrahigh performance, including bandwidth and reduced energy consumption. We use a new and powerful class of micro-comb called soliton crystals that exhibit robust operation and stable generation as well as a high intrinsic efficiency with a low spacing of 48.9 GHz. We demonstrate a universal optical vector convolutional accelerator operating at 11 Tera-OPS/s (TOPS) on 250,000 pixel images for 10 kernels simultaneously — enough for facial image recognition. We use the same hardware to sequentially form a deep optical CNN with ten output neurons, achieving successful recognition of full 10 digits with 900 pixel handwritten digit images. Finally, we demonstrate a photonic digital signal processor operating at 18 Tb/s and use it to process multiple simultaneous video signals in real-time. The system processes 400,000 video signals concurrently, performing 34 functions simultaneously that are key to object edge detection, edge enhancement and motion blur. As compared with spatial-light devices used for image processing, our system is not only ultra-high speed but highly reconfigurable and programable, able to perform many different functions without any change to the physical hardware. Our approach, based on an integrated Kerr soliton crystal microcomb, opens up new avenues for ultrafast robotic vision and machine learning.
LW-IRSTNet: Lightweight Infrared Small Target Segmentation Network and Application Deployment
Authors: Kou Renke , Wang Chunping , Yu Ying , Peng Zhenming , Yang Mingbo , Huang Fuyuan , Fu Qiang
Published: March 2023

Efficiently and accurately separating infrared (IR) small targets from complex backgrounds presents a significant challenge. Numerous studies in the literature have proposed various feature fusion modules designed specifically to enhance the extraction of IR small target features. While these designs offer some incremental improvement to the accuracy of IR small target detection, they come at a steep cost of significantly increasing network parameters and FLOPs. Striving for a balance between computational efficiency and model accuracy, we decided to forgo these complex feature fusion modules. Instead, we developed a new lightweight encoding and decoding structure known as the Lightweight IR Small Target Segmentation Network (LW-IRSTNet). This structure integrates regular convolutions, depthwise separable convolutions, atrous convolutions, and asymmetric convolutions modules. In addition, we devised post-processing modules including an eight-neighborhood clustering algorithm and an online target feature adjustment strategy. Experimental results indicate that: 1) the segmentation accuracy metrics of LW-IRSTNet match the best results of 14 state-of-the-art comparative baselines; 2) the parameters and FLOPs of LW-IRSTNet, at only 0.16M and 303M respectively, are significantly smaller in comparison to these baselines; and 3) the post-processing modules enhance both user-friendliness and the robustness of algorithm deployment. Moreover, LW-IRSTNet has been successfully implemented on both embedded platforms and websites, expanding its range of applications. Utilizing the ONNX framework, NPU acceleration, and CPU multi-threaded resource allocation, we have been able to achieve high-performance inference capabilities, as well as online dynamic threshold adjustment with the LW-IRSTNet. The source codes for this project can be accessed at https://github.com/kourenke/LW-IRSTNet.
DISCRETE-TIME HOPFIELD NEURAL NETWORK: CONVERGENCE THEOREM: PERTURBATION ANALYSIS
Authors: Garimella Rama  Murthy
Published: March 2023

In this research paper, we show that the convergence theorem of Hopfield neural network hods true without the condition that the diagonal elements must be non-negative (using epsilon perturbation of diagonal elements). More general version of this result is also proved. It is also shown that the eigenvalue vector of a symmetric matrix and the diagonal element vector are related through a linear system of equations with the coefficient matrix being a doubly stochastic matrix. Also, Perturbation analysis of Hopfield neural network is discussed.
A Dataset on CSI-based Activity Recognition in Real-World Environments
Authors: Demrozi Florenc , Turetta Cristian , Masrur Alejandro , Schmidhammer Martin , Gentner Christian , Chakraborty Samarjit , Pravadelli Graziano , Kindt Philipp
Published: March 2023

Activity recognition, e.g., identifying individuals, recognizing their physical activities, or estimating their number in a room, based on WiFi's Channel State Information (CSI) has been studied intensively in the last decade. 

While most existing works consider analyzing CSI data from a single person in a rather constrained environment, almost none of them has been successful in generalizing these results to unconstrained, real-world environments, in particular, when multiple individuals are present. 

In this paper, to address this problem, we introduce a fully annotated dataset ($\approx$ 70 GB of data) containing CSI and environmental data collected from two real-world offices over multiple days of continuous monitoring. To the best of our knowledge, this is the first freely available dataset of its kind. 

On the one hand, our dataset evidences that vastly disregarded {\em implicit changes} in the environment -- due to small objects being repositioned, added or removed -- are the main reason for the lack of generalizability by existing approaches. On the other hand, we expect it to promote further research work in this area and, thereby, to facilitate general solutions for CSI-based activity recognition in real-world environments.
Implementing Secure Bridges: Learnings from the Secure Asset Transfer Protocol
Authors: Marstein Kjell-Erik , Chiriac Alexandru , Riley Luke , Hardjono Thomas , Verdian Gilbert
Published: March 2023

Securely transferring tokenised assets between largely non-interoperable blockchain networks is a great challenge to take on. Implementations must coordinate transactions on multiple blockchain networks which have inherently different characteristics and functionality. Moreover, implementations must coordinate transactions in strict order, in an atomic, synchronised way so that owners do not risk their assets becoming lost, while also mitigating the age-old problem of “avoiding double spend”. Several protocols for cross-network asset transfer, i.e. the bridging of assets, exist, and several production bridge implementations exist. However, frequent high-profile security breaches have arguably given bridges a bad reputation. Therefore, there is a clear need for standardised bridge protocols to re-establish trust. One initiative for standardising cross-network bridges is the Secure Asset Transfer Protocol (SATP) developed by the Internet Engineering Task Force (IETF). This protocol establishes four distinctive phases for the asset transfer process, driven by a standardised messaging cycle between specialised bridge orchestration applications, known as gateways. In this paper, we demonstrate a reference framework with functions needed to implement SATP. We describe our implementation of this reference framework, why SATP is unique and why SATP is likely to be an important contribution to powering future bridges.
Automated Classification of Cognitive Visual Objects Using Multivariate Swarm Sparse Decomposition from Multichannel EEG-MEG Signals
Authors: Bhalerao Shailesh , Pachori Ram Bilas
Published: March 2023

In visual object decoding, magnetoencephalogram (MEG) and electroencephalogram (EEG) activation patterns demonstrate the utmost discriminative cognitive analysis due to their multivariate oscillatory nature. However, high noise in the recorded EEG-MEG signals and subject-specific variability make it extremely difficult to classify subject’s cognitive responses to different visual stimuli. The proposed method is a multivariate extension of the swarm-sparse decomposition method (MSSDM) for multivariate pattern analysis of EEG-MEG-based visual activation signals. In comparison, it is an advanced technique for decomposing non-stationary multi-component signals into a finite number of channel-aligned oscillatory components that significantly enhance visual activation-related sub-bands. The MSSDM method adopts multivariate swarm filtering and sparse spectrum to automatically deliver optimal frequency bands in channel-specific sparse spectrums, resulting in improved filter banks. By combining the advantages of the multivariate SSDM and Riemann’s correlation-assisted fusion feature (RCFF), the MSSDM-RCFF algorithm is investigated to improve the visual object recognition ability of EEG-MEG signals. A proposed MSSDM is evaluated on multivariate synthetic signals and multivariate EEG-MEG signals using five classifiers. The proposed fusion feature and linear discriminant analysis classifier-based framework (MSSDM-FF-LDA) outperformed all existing state-of-the-art methods used for visual object detection and achieved the highest accuracy of 81.82% using 10-fold cross-validation on EEG-MEG multichannel signals. 
Solid-State Tuning Restorer for Second-Harmonic LC Filter in Single-Phase Converters
Authors: Mukhopadhyay Anwesha , John Vinod
Published: March 2023

Second-harmonic filter is a critical constituent of single-phase power conversion system that helps to reduce the dc bus capacitance requirement. As the converter performance largely depends on the filter efficacy, an improved filter design target, characterised by superior ripple attenuation, compact size, low power loss, and less failure rate, continued to trigger significant research interest. Given the design and performance trade-offs between conventional passive filters and cutting-edge active filters, hybrid filters have emerged as an attractive solution capable of combining the desired features. Though it is easy for new designs to adapt an active filter with tunable characteristics, more often than not, it is impracticable for an existing system due to constraints on accessibility and space. However, tuning, retrofitting or replacement of the existing passive filters can be necessary in the interest of superior filtering and converter performance. Therefore, an easily integrable active circuit, named solid state tuning restorer (SSTR), is proposed here to enhance the performance of an existing LC filter. The second-harmonic tuned passive LC filter, along with SSTR, forms a hybrid filter with adjustable characteristics capable of maintaining the tuned state over a range of operating frequencies and LC parameters. The volt-ampere (VA) rating of SSTR, being only 2% of the main converter, facilitates easy integration into an existing dc bus LC filter. Even in case of SSTR failure, the configuration offers a graceful degradation in the second-harmonic filter characteristics without disrupting the main converter. Thus, it improves the performance of an existing second-harmonic LC filter while not compromising its reliability. The operation, design constraints, and control methodology of the proposed SSTR are discussed, and the performance is validated through experiments on a hardware prototype.
GRAMSCI NO BRASIL
Authors: Schlesener Anita Helena
Published: March 2023

This article brings a clipping of the history of the reception of Gramsci's thought in Brazil from a meeting promoted by the Social Work Course at UFMA and which enabled an important political discussion. We return to some aspects of this controversy to understand the relationship between politics and education, showing the possibilities of reading that Gramsci's fragmentary text makes possible. The article aims to show that Gramsci's writings can be read from different perspectives in order to interpret the movement of the real, which accentuates the richness of his writings.
O “MOVIMENTO ESCOLA SEM PARTIDO” COMO PARTIDO:
Authors: Fernandes Macedo Handerson Fábio , Alvarenga Marcia
Published: March 2023

The following text inserts itself among the discussion about the "Movimento Escola Sem Partido" (School Without a Party Movement). The referred movement is comprised by the materialization of reactionary conservatism confluenced with neoliberalism, based on Antonio Gramsci as a theoretical reference and using as a base two concepts of the sardinian marxist, Hegemony and Political Party. Using the publications in social media and websites mantained by the the School Without a Party Movement asresearch sources, we purpose a debate analysing and exposing how such movement, despite claiming neutrality, actually works and functions as a real political party from gramscian formulation perspective, in which organizes, embodies and gives voice to reactionary conservatism sectos of society. The comprehension of such movement as a political party from gramscian sense allows its better understanding and confrontation of its actions.
GRAMSCI NO MST
Authors: Aliaga Luciana
Published: March 2023

This article intends to demonstrate that the political organization of the Movimento dos Trabalhadores Rurais Sem Terra (MST), at the end of its second decade of existence, was based on conceptions, structures and procedures that can be conceived as a translation of gramscian thought within the scope of practice. To achieve our objective, we will begin with a brief reflection on the context immediately prior to the birth of the movement, in which the diffusion of Gramsci's thought in Latin America underwent a remarkable expansion and, consequently, appropriation in both academic and political environments in Brazil. In this context, the role played by Comunidades Eclesiais de Base and Teologia da Libertação stands out as disseminators of a set of theoretical and political marxist precepts, contributing to the practical appropriation of Gramsci by the MST. To address our main object, we will analyze the practice of the “mystic” and the organizational and formative structure of the MST.