bluuebunny/crossref_metadata_2025 huggingface dataset:
Fate of Soil Residual Fertilizer-15N as Affected by Different Drip Irrigation Regimes
Authors: Chen Jingnan , Jin Qiu , Zhu Qinyuan , Xiao Ying , Zhu Jingwen , Shao Xiaohou , Hou Maomao , Zhong Fenglin , Lin Chao , Zhu Lin
Published: July 2022

Soil residual N is a potential factor threatening the environment, but it is also an N fertilizer resource. Few studies have evaluated the fate of soil residual N under agronomic practice. The objective of this study was to investigate the distribution of residual N and its possible influencing factors with different irrigation regimes. Under three N residual situations created by the previous season using the 15N labeled urea, we employed lettuce as the plant material and three lower limits of drip irrigation including 75% (DR1), 65% (DR2), and 55% (DR3) accounting for the field water capacity as experimental treatments. A furrow irrigation treatment (FI) with the same irrigation regime as DR2 was used as control. Results showed that 2.1–4.8% of the residual 15N from the previous season was absorbed by the succeeding lettuce, 78.0–84.4% was still remained in the 0–80 cm soil, and 10.9–20.0% was unaccounted for. After harvest of succeeding lettuces, the soil residual 15N mainly existed in the mineral form. Moreover, the lettuce reuse efficiency for15N was positively correlated with the total residual 15N amount (p < 0.01) and the mineral 15N amount (p < 0.01). The overall results indicated that an appropriate irrigation regime (DR2) was conducive to promoting absorption of residual N by succeeding crop.
Environmental Impact Assessment and Life Cycle Assessment for a Deep Water Floating Offshore Wind Turbine on the Brazilian Continental Shelf
Authors: Ferraz de Paula Laura , Carmo Bruno Souza
Published: July 2022

Brazil is currently witnessing the dawn of its offshore wind industry, and companies, government, investors, and society must understand the risks and possible environmental impacts this technology can generate. This paper aims to partially fill this need by presenting an analysis of the environmental impacts that would be caused by a 5 MW floating offshore wind turbine to be installed on the Brazilian continental shelf through an Environmental Impact Assessment (EIA) and a Life Cycle Assessment (LCA). We assumed that the wind turbine would supply electrical power to a floating oil and gas extraction platform, with the intention of reducing the amount of energy produced with fossil fuels in these platforms, in order to decrease the carbon footprint of this economic activity. The turbine would be mounted on a semi-submersible platform with a high mass of steel, and a battery system for energy storage. We considered two different sites for the turbine installation, Campos Basin and Santos Basin, which are the most important areas of oil and gas extraction in Brazil. The EIA examines the effects caused by the turbine in the ecosystems around it, showing that the fauna suffers from various impacts such as sedimentation, electromagnetic fields, and others, but few species are seriously affected, except for birds, which can have a risk of mortality. The LCA makes an assessment on the carbon dioxide (CO2) emissions and energy consumption for each part of the life cycle of the project, finding a total 21.61 g of CO2 emitted per kWh of energy produced by the turbine. The total energy consumed was 89,131.31 GJ, which causes an Energy Payback Ratio (EPR) of 16.28 and Energy Payback Time (EPT) of 1.23 years. Several sensitivity analyses were performed to understand the effect of the variation of several parameters related to recycling, maintenance and failures, and the capacity factor, on the values of CO2 emission and energy consumption. These analyses showed that variations in the amount of steel recycled and in the capacity factor of the system cause the most significant changes in EPR and EPT.
Covid-19 en Ecuador: Aplicación de minería de datos
Authors: Zambrano Juan-Carlos , Quiroz-Palma Patricia , Santamaría-Philco Alex , Zamora Willian
Published: July 2022

El COVID-19 se introdujo rápidamente como una pandemia global, la cual necesita ser tratada con respuesta inmediatas e integradas a todos los sistemas nacionales que requieran de ellas. Con la llegada del COVID-19 el mundo vio la necesidad de respuestas oportunas y el intercambio de datos sobre ésta y futuras pandemias globales de rápida propagación. Este estudio se enfoca en predecir la incidencia del COVID-19 en Ecuador. Se realizó Minería de Datos de los registros proporcionados por instituciones públicas del estado ecuatoriano con información oficial y actualizada del COVID-19 en el Ecuador. Se experimento con modelos de regresión y memoria a largo plazo obteniendo como resultado el modelo óptimo para estimar el número de casos positivos de COVID-19. Para el modelo matemático se hizo uso del error cuadrático medio como métrica del rendimiento. Del análisis de los datos sobre el COVID-19 en Ecuador el modelo de regresión lineal predijo la incidencia con un error cuadrático medio de 0.54. siendo los factores más efectivos la incidencia de días anteriores y el número de población de cada una de las provincias afectadas.
Efecto de la capacitación sobre autocuidado de niños y adolescentes con DM1 en el conocimiento del personal de enfermería
Authors: Chávez Valle Hilda Noemí , González Ofarrill Santa Caridad , Zayas Torriente Georgina María , Araujo Herrera Orlando , Rodríguez Salvá Armando , Jordán Quintans Ana Marlene
Published: July 2022

La diabetes mellitus tipo 1 se encuentra entre las enfermedades no trasmisibles más frecuentes de la infancia. La educación terapéutica que ejerce el personal de enfermería durante la hospitalización juega un papel importante en el autocuidado, por tal motivo deben de mantener una capacitación activa. El objetivo fue evaluar el efecto de la capacitación sobre autocuidado de niños y adolescentes con diabetes mellitus tipo 1 en el conocimiento del personal de enfermería. Estudio descriptivo longitudinal, en 100 enfermeros del Hospital Pediátrico Centro Habana, mediante muestreo no probabilístico de tipo intencional por conveniencia. Se aplicó test de conocimiento antes y después de la capacitación. Se realizó prueba no paramétrica de los rangos con signos de Wilcoxon para medidas pareadas. El 57 % del personal de enfermería era técnico. El 58 % tenía más de 10 años de experiencia laboral y el 100 % no había recibido capacitación en diabetes. El pre- test arrojó conocimiento bajo en 100 % de los enfermeros, mientras que el post test después de la capacitación arrojó conocimiento alto en el 80 %. La capacitación tuvo un efecto favorable en el conocimiento del personal de enfermería sobre el autocuidado de los niños y adolescentes con diabetes mellitus tipo 1.

Palabras clave: autocuidado; capacitación; diabetes mellitus tipo 1; educación continua; niños y adolescentes.
EXPERIÊNCIA E PROFISSIONALIDADE: MEMÓRIA E SABERES DE PROFESSORAS APOSENTADAS
Authors: Silva Ariadne Cristiane Fantoni , Eiterer Carmem Lucia , Silva Maria Cristina da
Published: July 2022

O presente trabalho é o recorte de uma pesquisa de mestrado que buscou compreender como cinco professoras aposentadas, que ingressaram na década de 80 na Rede Municipal de Ensino de Belo Horizonte, interpretam episódios de suas trajetórias profissionais. Discute-se aqui as muitas faces assumidas pela construção dos saberes docentes. Para tal, recorre-se à entrevista narrativa de Schütze (2014) e à análise compreensivo-interpretativa (SOUZA, 2014) como uma alternativa para interpretar e produzir conhecimentos acerca da profissionalidade docente. Nas narrativas, as professoras elucidaram elementos que compõem a docência (TARDIF; LESSARD, 2007), como: práticas pedagógicas e da cultura escolar vigente na época, momentos significativos e formativos que possibilitaram a construção de saberes docentes (TARDIF, 2002) em diferentes contextos e experiências profissionais. As narrativas revelaram que a profissão docente envolve estar em constante aprendizado, e a profissionalidade docente em permanente transformação. A partir das contribuições de autores como Roldão (2005, 2007), Gauthier (2013), Shulman (2014) Nóvoa (2017), conclui-se que a profissionalidade se fortalece à medida que as professoras se relacionam, trocam experiências com seus pares na escola e/ou fora dela bem como com os alunos e a comunidade e frequentam as formações continuadas.
ESTÁGIO SUPERVISIONADO EM TEMPOS DE ISOLAMENTO FÍSICO: relato de experiência em um curso de Psicologia
Authors: Andrade e Barros Roberta
Published: July 2022

O presente artigo tem como objetivo analisar a experiência de estágio supervisionado ofertado em um curso de graduação de Psicologia durante o isolamento físico. O método utilizado foi a pesquisa bibliográfica e documental, além do relato e a análise de um estágio que foi supervisionado pela autora. Como considerações conclusivas, têm se que, diante da conjuntura imposta pela pandemia do coronavírus, a realização do estágio de maneira remota não apenas respeita as orientações sanitárias, mas prepara as estudantes para a realidade vivenciada atualmente que pode se repetir no futuro. Quanto ao estágio analisado, apesar das dificuldades enfrentadas, considera-se que foi uma oportunidade de construção coletiva entre supervisora e alunas, sendo que essas últimas foram ativas e responsáveis na sua formação.
ESTÁGIO CURRICULAR SUPERVISIONADO REMOTO EM EDUCAÇÃO FÍSICA ESCOLAR: desafios para a formação de professores/as
Authors: Pinto Gabriela Baranowski , Miguel Rebeca Signorelli
Published: July 2022

Neste relato de experiência de supervisoras acadêmicas de estágio, o estágio curricular supervisionado remoto realizado em um curso de licenciatura em educação física nos anos de 2020 e 2021, durante a pandemia do COVID-19 e o ensino remoto, é focalizado. O principal questionamento foi: É possível formar professores/as habilitados a lidar com as questões da escola através de estágios remotos? Reflexões sobre a implementação e resultados deste componente curricular são desenvolvidos a fim de discutir limites e possibilidades para a formação de professores/as neste contexto. Considera-se finalmente que por meio da implementação realizada, os estágios supervisionados remotos atuaram positivamente na formação das/os professoras/es, superando as expectativas. Esse modelo de implementação trouxe aprendizagens significativas àqueles em processo de formação, principalmente, com relação ao vínculo da unidade teoria-prática da educação física em relação aos seus objetos de estudos e objetivos na escola. Contudo, esse modelo de ensino também possibilitou verificar uma sobrecarga de trabalho atribuído às/aos supervisoras/es de campo e acadêmicas/os.
EDITORIAL
Authors: Wunder Alik , Novaes Marcus Pereira
Published: July 2022

EDITORIAL
APROPRIAÇÃO DA ESCRITA POR MEIO DE UM OLHAR LITERÁRIO: COMO DESPERTAR UM LEITOR NA ERA VIRTUAL?
Authors: Moura Adileusa N.
Published: July 2022

APROPRIAÇÃO DA ESCRITA POR MEIO DE UM OLHAR LITERÁRIO: COMO DESPERTAR UM LEITOR NA ERA VIRTUAL?
BARCA DOS LIVROS: UMA BIBLIOTECA COM ALMA
Authors: Piacentini Tânia
Published: July 2022

BARCA DOS LIVROS: UMA BIBLIOTECA COM ALMA
Evaluation of SARS-CoV-2-Neutralizing Nanobody Using Virus Receptor Binding Domain-Administered Model Mice
Authors: Liu Song , Li Guanghui , Ding Lei , Ding Jin , Zhang Qian , Li Dan , Hou Xingguo , Kong Xiangxing , Zou Jing , Zhang Shiming , Han Hongbin , Wan Yakun , Yang Zhi , Zhu Hua
Published: July 2022

Due to the rapid spread of coronavirus disease 2019 (COVID-19), there is an urgent requirement for the development of additional diagnostic tools for further analysis of the disease. The isolated nanobody Nb11-59 binds to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) receptor-binding domain (RBD) with high affinity to neutralize the virus and block the angiotensin-converting enzyme 2- (ACE2-) RBD interaction. Here, we introduce a novel nanobody-based radiotracer named
68
Ga-Nb1159. The radiotracer retained high affinity for the RBD and showed reliable radiochemical characteristics both
in vitro
and
in vivo
. Preclinical positron emission tomography (PET) studies of
68
Ga-Nb1159 in mice revealed its rapid clearance from circulation and robust uptake into the renal and urinary systems. Fortunately,
68
Ga-Nb1159 could specifically reveal the distribution of the RBD in mice. This study also helped to evaluate the pharmacodynamic effects of the neutralizing nanobody. Moreover,
68
Ga-Nb1159 may be a promising tool to explore the distribution of the RBD and improve the understanding of the virus. In particular, this study identified a novel molecular radioagent and established a reliable evaluation method for specifically investigating the RBD through noninvasive and visual PET technology.
Proteome-Wide Profiling of the Covalent-Druggable Cysteines with a Structure-Based Deep Graph Learning Network
Authors: Du Hongyan , Jiang Dejun , Gao Junbo , Zhang Xujun , Jiang Lingxiao , Zeng Yundian , Wu Zhenxing , Shen Chao , Xu Lei , Cao Dongsheng , Hou Tingjun , Pan Peichen
Published: July 2022

Covalent ligands have attracted increasing attention due to their unique advantages, such as long residence time, high selectivity, and strong binding affinity. They also show promise for targets where previous efforts to identify noncovalent small molecule inhibitors have failed. However, our limited knowledge of covalent binding sites has hindered the discovery of novel ligands. Therefore, developing in silico methods to identify covalent binding sites is highly desirable. Here, we propose DeepCoSI, the first structure-based deep graph learning model to identify ligandable covalent sites in the protein. By integrating the characterization of the binding pocket and the interactions between each cysteine and the surrounding environment, DeepCoSI achieves state-of-the-art predictive performances. The validation on two external test sets which mimic the real application scenarios shows that DeepCoSI has strong ability to distinguish ligandable sites from the others. Finally, we profiled the entire set of protein structures in the RCSB Protein Data Bank (PDB) with DeepCoSI to evaluate the ligandability of each cysteine for covalent ligand design, and made the predicted data publicly available on website.
Blast Plasmocytoid Dendritic Cell Neoplasia – Diagnosis and Results of the First Stage of Treatment (Clinical Observations)
Authors: Рукавицын О.А. , Клеина И.В. , Новосельцева Л.Г. , Филиппович Т.В. , Смирнов Р.Н. , Алексеев С.А. , Троян В.Н.
Published: July 2022

Бластная плазмоцитоидная дендритно-клеточная неоплазия – редкое заболевание, исходящее из плазмоцитоидных дендритных клеток. В статье приведены данные, характеризующие процесс диагностики и лечения двух пациентов, почти одновременно поступивших в клинику. На первом этапе лечение оказалось успешным. Сделан акцент на необходимости накопления информации, что должно привести к формированию стандартных подходов к терапии этой редкой гематологической опухоли.

Blast plasmocytoid dendritic cell neoplasia is a rare disease originating from plasmocytoid dendritic cells. The data characterizing the process of diagnosis and treatment of two patients admitted to the clinic almost simultaneously are presented. At the first stage, the treatment was successful. Emphasis is placed on the need to accumulate information, which should lead to the formation of standard approaches to the treatment of this rare hematological tumor.
USO DA TÉCNICA DE BOOSTING PARA PREVISÃO DE CONSUMO DE COMBUSTÍVEL DE UMA FROTA DE NAVIOS
Authors: LUIZ DO CARMO JORGE
Published: July 2022

Forecasting fuel consumption is of great importance for shipping, as it allows for more efficient fuel management, being an excellent tool to assist in decision making regarding operational measures to improve the energy efficiency of the fleet. Companies linked to shipping are increasingly under pressure to reduce the cost of travel while increasing energy efficiency and reducing the amount of greenhouse gas emissions. The purpose of this paper is to present models to predict the fuel oil consumption of a fleet of vessels, with low forecast errors, using the machine learning technique boosting.
CARACTERIZAÇÃO DE COMPÓSITO CIMENTÍCIO REFORÇADO COM FIBRAS DE BORRACHA DE PNEU
Authors: RUGGERI SILVA ARAUJO EVERTON , DO CARMO REIS VINÍCIUS , Maurício Ferreira da Conceição Fred
Published: July 2022

The incorporation of fibers in cementitious composites has been widely researched, with the purpose of seeking new technologies, aiming to improve the properties of this material. The present work aims to study the addition of synthetic fibers, specifically, tire rubber fibers in cementitious composites, approaching the preparation, molding and analysis of the technical results of the samples with addition of fibers in relation to the reference samples, without the addition of fibers. Experimental tests were carried out on two concrete mixes, concrete with the addition of rubber (called in the present work as reference concrete) and concrete with 10% of the addition of rubber, where the specimens of the following dosages were submitted to axial compression tests. The results obtained show that the addition of rubber causes a reduction in the mechanical strength of the concrete, which can reduce the applications of this new material, although it has given it greater ductility, in addition to this advantage, the insertion of tire rubber in the concrete contributes to recycling of a polluting material and that is usually disposed of in the environment in an erroneous way
Local structure analysis of BiFeO3-BaTiO3 solid solutions
Authors: Yoneda Yasuhiro , Kim Sangwook , Mori Shigeo , Wada Satoshi
Published: July 2022

The average and local structures of solid solutions of (1 – x)BiFeO3–xBaTiO3 were investigated. At room temperature, pseudo-cubic phases appear in BaTiO3 compositions with x values ranging from 0.3 to 0.7. The ferroelectricity was not lost even in the cubic structure with the highest ferroelectricity observed at x = 0.3. We used a pair distribution function and an X-ray absorption fine structure to perform a structural analysis to determine the source of this ferroelectricity. These solid solutions’ local structures were consistent with the pure limits of BiFeO3 and BaTiO3, respectively, but when the composition of BaTiO3 was 0.3, a structure peculiar to the structural boundary in the solid solutions appeared. We discovered that the structure had the greatest randomness around this composition by performing a model fit of this local structure. Local structure changes to improve nanoscale dipole interactions while maintaining the ferroelectric long-range order structure. As a result, the domain size grows and the ferroelectricity improves.
Penguatan Keterampilan Computational Thinking Guru Madrasah Ibtidaiyah dalam Pembelajaran Tematik Berbasis Kearifan Lokal
Authors: Alnashr M Sofyan , Nuraini Latifah
Published: July 2022

Kualitas pembelajaran tematik di Madrasah Ibtidaiyah (MI) sangat ditentukan oleh kompetensi guru sebagai ujung tombaknya. Oleh karena itu, peningkatan kompetensi guru dalam pembelajaran tematik harus terus diupayakan. Atas dasar tersebut, kegiatan pengabdian kepada masyarakat ini dilaksanakan untuk meningkatkan kapasitas guru MI dalam implementasi pembelajaran tematik yang berbasis kearifan lokal melalui pendekatan computational thinking (CT). Metode pengabdian dengan pendekatan ABCD (Asset Based Community Development) dimana guru menjadi aset utamanya. Teknik pengabdian melalui pembelajaran dan pelatihan untuk meningkatkan kompetensi mengajar tematik berbasis kearifan lokal melalui pendekatan CT. Hasilnya sebanyak 80% atau 26 peserta pelatihan mampu menerapkan CT dengan baik, sedangkan 20% atau 6 peserta mendapat skor cukup baik. Guru yang mengikuti pelatihan semakin meningkat kompetensi mengajarnya karena mampu menerapkan pembelajaran tematik dengan pendekatan CT. Sebelumnya guru yang mengikuti pelatihan belum menerapkan pembelajaran tematik dengan pendekatan CT tetapi setelah mengikuti pelatihan para guru memahami dan mampu menerapkan pembelajaran tematik dengan pendekatan CT.
Pembuatan Boneka Puppet sebagai Media Pembelajaran untuk Meningkatkan Kreativitas Guru Taman Kanak-Kanak
Authors: Putri Aprilia Riyana , Muzakki Muhammad Ali , Yulistianti Hayu Dian , Nafisah Zahrotun
Published: July 2022

Profesioanlitas dan kreativitas guru memegang peran penting dalam pembelajaran. Bentuk penerapan kreatifitas dalam pembelajaran misalnya melalui penggunaan media yang beragam. Kegiatan pengabdian ini bertujuan meningkatkan kreativitas guru dalam membuat dan menggunakan media Puppet untuk pembelajaran di TK Muslimat NU Tarbiyatul Athfal II Desa Panggang Kecamatan Jepara Kabupaten Jepara. Pengabdian ini memanfaatkan metode ABCD (Asset Based Community Development) dengan aset berupa kain perca yang banyak sehingga harus dimanfaatkan menjadi barang yang berguna. Guru juga menjadi aset berharga yang harus terus dikembangkan kreativitasnya. Hasil dari pengabdian masyarakat ini yakni meningkatnya kreativitas 14 guru TK Muslimat NU dalam membuat dan menggunakan boneka Puppet untuk pembelajaran. Produk dari pengabdian berupa media puppet sebagai media story telling sehingga menjadikan pembelajaran di TK Muslimat NU Tarbiyatul Athfal II panggang menjadi lebih menyenangkan.
A Takagi-Sugeno Fuzzy Model-Based Tracking Framework to Regulate Heart Rhythm Dynamics
Authors: Moreno-Saenz Jairo , Chen Ying-Jen , Tanaka Kazuo , Aragón José Luis , Quiroz-Juárez Mario Alan
Published: July 2022

Arrhythmias are conditions characterized by a faster, slower, or irregular heart rhythm. Some of them may be harmless and brief, but others can lead to a sudden cardiac arrest. Thus, procedures that safely restore the normal heartbeat are a matter of interest. Experimental evidence shows that some arrhythmia may have an origin in chaotic dynamics; therefore, this paper describes a multivariable feedback control method to regulate heart rhythm-like dynamics in a master-slave framework. Since there is no consensus on the equations describing the cardiac dynamics, we use a phenomenological model that generates a variety of electrocardiogram-like signals and represent it in a Takagi-Sugeno fuzzy form. We provide control design conditions to achieve the tracking control for a nominal and an uncertain slave system. The results suggest that our closed-loop control scheme can get the heart rhythm dynamics from a non-desirable situation back to a normal behavior given by the reference system. Our approach reveals a proof of concept to suppress pathological behaviors in the heart dynamics that could lead to implementation in cardiac devices.
Digital Twin-Assisted Edge Computation Offloading in Industrial Internet of Things With NOMA
Authors: Zhang Long , Wang Han , Xue Hongmei , Zhang Hongliang , Liu Qilie , Niyato Dusit , Han Zhu
Published: July 2022

Integrating digital twins (DTs) and multi-access edge computing (MEC) is a promising technology that realizes edge intelligence in 6G, which has been recognized as the key enabler for Industrial Internet of Things (IIoT). In this paper, we explore a DT-assisted MEC system for the IIoT scenario where a DT server is created as a digital counterpart of the MEC server, via estimating the computation state of the MEC server within the DT modelling cycle. To achieve energy and spectrally efficient offloading, we consider that IIoT devices communicate with industrial gateways (IGWs) through a non-orthogonal multiple access (NOMA) protocol. Each IIoT device has an industrial computation task that can be executed locally or fully offloaded to IGW. We aim to minimize the total task completion delay of all IIoT devices by jointly optimizing the IGW's subchannel assignment as well as the computation capacity allocation, edge association, and transmit power control of IIoT device. The resulting problem is shown to be a mixed integer non-convex optimization problem, which is challenging to solve. We decompose the original problem into four sub-problems, and then propose an efficient iterative algorithm to solve this problem by leveraging the block coordinate descent method. Therefore, the subchannel assignment, computation capacity allocation, edge association, and power control are alternately optimized in an iterative way, and then a locally optimal solution of the original problem is obtained until convergence. Simulation results demonstrate the benefits of the proposed scheme over the other benchmarks in reducing the total task completion delay and increasing the percentage of offloading IIoT devices with low complexity.
Lightweight Online Power Estimation Methodology via Power Abstract Counters
Authors: Jia Fan , Zhang Fuxin
Published: July 2022

Performance Monitor Counter(PMC)-based and circuit signal-based approaches are the two primary methodologies for online power estimation of processors. PMC-based methods will not bring hardware overhead, but the observation granularity is too large to be applied to fine-grained power management strategies. Meanwhile, signal-based methods bring high hardware overhead, and current power management strategies cannot effectively utilize clock-level precision. In this paper, we propose Power Abstract Counter(PAC). This counter records the change times of circuit signal closely related to the processor's power consumption. We also developed an online power estimation method based on PAC. This method combines the advantages of PMC-based and signal-based methods. It can estimate the processor's power at a smaller observation granularity and has a low hardware overhead. We validate the approach on the Loongson GS364 processor. The results show that using 16 PACs can achieve an estimation error of less than 1% within a granularity of 512 cycles.
Outdoor Navigation Using Bluetooth Angle-of-Arrival Measurements
Authors: Sollie Martin L. , Gryte Kristoffer , Bryne Torleiv H. , Johansen Tor Arne
Published: July 2022

The introduction of direction finding in the Bluetooth standard enabled the use of antenna arrays for locating Bluetooth devices, using carrier phase measurements to estimate the direction from the array to a moving device. In this work, this feature is utilized for outdoor localization. We show how using repeated measurements from all array elements, instead of only the initial single-element reference samples as often suggested, can contribute to an improved estimate of the signal's unknown carrier frequency offset, thereby improving the direction estimation performance. To run the direction-of-arrival estimation in real-time with high angular resolution on an embedded computer we propose a pseudo-spectrum peak search strategy that combines a coarse search, where the resolution is decided based on the array's main lobe width, with a local nonlinear optimization for estimate refinement. We consider practical aspects relating to the phase sampling configuration and demonstrate direction estimation at up to 700m range with insignificant packet loss within 500m, and without significant loss of angular precision even when the received signal is near the receiver's signal strength sensitivity threshold. In an open outdoor environment, using a square antenna array with 12 elements, the azimuthal performance is found to be very consistent with range, with noise standard deviation typically around 1°. While the elevation is significantly affected by multipath at lower elevation angles, with visible disagreement between frequency channels, it is shown to be consistent with simulations of ground reflection multipath.
Distributed Secondary Control of Battery Storage Systems in DC Microgrids with A Virtual State Variable
Authors: Su Jialei
Published: July 2022

To simultaneously achieve average voltage regulation, accurate current-sharing and state-of-charge (SoC) balance, at least two state variables need to be transmitted between neighboring BESS nodes in conventional distributed secondary control. This paper proposes a distributed secondary control for BESSs in DC microgrids with the information of only one virtually defined state variable being transmitted. This virtual state variable combines the BESS converter output current and SoC, and a new voltage controller together with a new consensus-based current and SoC controller are designed all based on its information. Further, there is no need to change the control law when BESSs switch between charging/discharging modes with the designed current and SoC controller. Once SoCs are balanced, it works purely as a current controller. Stability and steady-state analysis are conducted to confirm the effectiveness of the proposed control strategy. Finally, three case studies assisted with hardware-in-loop (HIL) real-time tests are presented to validate the proposed control strategy.
Attacking Distance-aware Attack: Semi-targeted Model Poisoning on Federated Learning
Authors: Sun Yuwei , Ochiai Hideya , Sakuma Jun
Published: July 2022

Existing model poisoning attacks on federated learning (FL) assume that an adversary has access to the full data distribution. In reality, an adversary usually has limited prior knowledge about clients' data distributions. In such a case, a poorly chosen target class renders an attack less effective. In particular, we considered a semi-targeted situation where the source class is predetermined but the target class is not. The goal is to cause the global classifier to misclassify data of the source class. Approaches such as label flipping have been adopted to inject poisoned parameters into FL. Nevertheless, it has shown that their performances are usually class-sensitive, varying with different target classes applied. Typically, an attack can become less effective when shifting to a different target class. To overcome this challenge, we propose the Attacking Distance-aware Attack (ADA) that enhances a poisoning attack by finding the optimized target class in the feature space. ADA deduces pair-wise distances between classes in the latent feature space using the Fast LAyer gradient MEthod (FLAME). We performed extensive evaluations, varying the attacking frequency in five benchmark image classification tasks with three model architectures. Furthermore, ADA's efficacy was studied under different defense strategies in FL. ADA succeeded in increasing attack performance to 2.8 times in the most challenging case with an attacking frequency of 0.01 and bypassed existing defenses, where differential privacy that was the most effective defense still could not reduce the attack performance to below 50%.
DCMAI: A Dynamical Cross-Modal Alignment Interaction Framework for Document Key Information Extraction
Authors: Deng Yongbiao
Published: July 2022

Abstract—Document key information extraction (DKIE) is a challenging task that aims to automatically understand documents in their varied formats and layouts (forms, receipts, etc.). Existing pre-trained methods have shown superior performance on multiple DKIE tasks. However, there are three main drawbacks to DKIE. Firstly, these methods do not consider the ambiguities arising from similar text representations before cross-modal interaction. Secondly, they ignore cross-modal feature alignment before cross-modal interaction. Thirdly, self-attention layers in cross-modal interaction suffer from high memory consumption, which hinders joint representation reasoning from all negative samples. To tackle the above limitations, we present a Dynamical Cross-Modal Alignment Interaction framework(DCMAI). Specifically, (1) to disambiguate similar textual representations, a prior knowledge-guided module is formulated to adaptively mine fine-grained visual information to distinguish similar textual representations, which generates a prior visual knowledge-guided text embedding for each token. (2) A crossover alignment loss is proposed to align cross-modal information, which contributes to improving the interaction between visual and text features before cross-modal interaction. (3) To further reasoning joint representation from a cross-modal encoder and effectively mine cross-modal negative samples, we introduce a hierarchical interaction sampling strategy to mine negative samples, and a contrastive loss is applied to optimize joint representation reasoning. We pre-train the DCMAI framework on a public corpus and fine-tune it on several downstream tasks, such as entity extraction, sequence labeling, and document question answering. The proposed DCMAI approach achieves superior performance on various downstream tasks. Code will be open to the public.
A bibliometric study of AI techniques in Antenna Research over three decades
Authors: MANI GULLAPURAM
Published: July 2022

 The present study uses bibliometric analysis of about 6000 documents over the period 1991-2020 to look at the growth profile of Antenna research in relation to Genetic Algorithms, Artificial Neural networks, Deep Learning, Machine Learning, Swarm Intelligence, Automation, and Robotics. The objective of the study is to help the veteran to recap old thoughts and also a new researcher to obtain an overview of the research trends in antennas and associated fields, which could be helpful in planning his research activity
Carrierless Amplitude and Phase Modulation for Terahertz Communications
Authors: Shehata Mohamed , Wang Ke (Desmond) , Withayachumnankul Withawat
Published: July 2022

Terahertz communications has been foreseen as a key enabler to the sixth generation  (6G) of wireless communications systems. However, the design of spectrally-efﬁcient waveforms and modulation schemes is an ongoing challenge in this regime. In this paper, we propose and experimentally demonstrate the transmission of M-ary carrierless amplitude and phase (CAP) modulated signals using a 253 GHz photo-mixing-based terahertz wireless communications system combined with the optical transmission over a 10-km standard single mode ﬁber (SSMF). Experimental results show that the CAP modulation technique has a capability to support the high-speed transmission of terahertz signals over a wide range of data rates from 4 Gbit/s to 96 Gbit/s based solely on optical intensity modulation at the transmitter side and terahertz envelope detection at the receiver side. Consequently, M-ary CAP can potentially be adopted as a low-complexity waveform and modulation contender to simplify the transceivers architectures for the sixth generation (6G) terahertz communications systems, without sacriﬁcing the high throughput targeted by these systems.
NOMA Versus OMA: Scheduling to Minimize the Age of Information
Authors: Agarwal Pranay , Moharir Sharayu
Published: July 2022

An uplink internet-of-things (IoT) scenario is considered, wherein, multiple IoT devices (IoTDs) report their timely status updates to a central node (CN). We analytically compare the performance of orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) scheduling schemes for the expected system age of information and throughput.
Piattaforme digitali, (big) data, spazio dei flussi/luoghi
Authors: Romano Antonello
Published: July 2022

The chapter introduces the Digital Platforms as well as the relationship between platforms - data - space of flows - space of places.
I dati delle piattaforme durante la crisi da COVID-19
Authors: Romano Antonello
Published: July 2022

The chapter critically explores the role of 'platform data' during the COVID-19 pandemic.
Piattaforme aperte
Authors: Romano Antonello
Published: July 2022

The chapter analyzes the geography of 'open platforms' such as Wikipedia, Openstreetmap, Blockchain
Piattaforme prodotto
Authors: Romano Antonello
Published: July 2022

The chapter highlights the geographies of some 'product platforms' such as Amazon, Just Eat, Netflix, Strava, also emphasizing the geoprivacy's issues.
Piattaforme di comunicazione
Authors: Romano Antonello
Published: July 2022

The chapter shows various maps about 'communication platforms' such as Twitter, Whatsapp, Instagram etc. at the different scales.
SUPPORTING THE SUCCESSFUL IMPLEMENTATION OF E-LEARNING IN THE SOUTH AFRICAN PUBLIC SECTOR
Authors: Wilma Van Staden
Published: July 2022

This paper examines the change drivers and difficulties linked to implementing e-learning in the South African Public Service Sector in line with policy imperatives and global trends. The question of e-learning arose in a context of a project which aimed to investigate specific contextual variables that need to be addressed to strengthen skills development within the public sector. The study drew upon systems thinking to analyse the South African public service training system as different units within a system. Insights from stakeholder engagement and framework development processes were assessed, and critical emergent themes to inform the e-learning needs of the public sector were identified. The study shows that the catalysing of the uptake and implementation of e-learning within the public sector requires specific tools, time, understanding of the e-learning pedagogical processes, upskilling of digital literacy at all levels, and workable data-free, smartphone friendly training, and communication platforms.
BLENDED LEARNING: THE “NEW NORMAL” IN EDUCATION DELIVERY
Authors: Tom Foley  , Alicia Curtin
Published: July 2022

Successful blended learning contexts engage students in highly interactive virtual learning environments through a mix of online and face-to-face teaching, learning and assessment modalities.  This paper explores some of the affordances and constraints of blended learning for one Higher Education Institution in Ireland.  TPACK (Mishra & Koehler, 2006) and Multimodal (Picciano, 2009) models frame the discussion opportunities and challenges more broadly for blended learning instructional and pedagogical design post pandemic in Higher Education.
THE CHALLENGES OF PHD SUPERVISION IN AN EMERGING ODL CONTEXT: A STUDY AT THE OPEN UNIVERSITY OF MAURITIUS
Authors: Belle Louis Jinot
Published: July 2022

With open education providing accessibility, equality of opportunities and transparency to further studies, many individuals who could not pursue their postgraduate studies in the conventional universities of the country, embark on postgraduate studies through the blended learning mode of education at the only public University of Mauritius. For effective postgraduate research, there needs to be effective and sufficient supervision. However, in the context of PhD supervision in ODL African universities, the insufficient number of academics lacks the necessary supervisory skills and therefore supervision is a challenging task. This paper explores the challenges that supervisors face in guiding PhD candidates in an emerging ODL African University. For the purpose of this study, the exploratory and inductive qualitative research approach was used to gather in-depth information from 10 academics who are involved in online PhD supervision. The individual in-depth semi-structured interview was used. In the context of an emerging ODL institution in Africa, it was found that PhD supervisors face various challenges, namely a lack of research culture, a lack of mastery methodology skills, insufficient online discussion meetings, the divergent lens of academic research and an absence of an online PhD research protocol. The findings suggest that an emerging ODL institution must adopt a systemic approach to PhD supervision, adopt other models of supervision than the apprenticeship model, establish a database protocol for supervision data, and design and use a Feedback Explanation Tool and a Memorandum of Understanding to ensure a good supervisory relationship and process.
FACTORS CONTRIBUTING TOWARDS DROP OUT IN M.PHIL AT ALLAMA IQBAL OPEN UNIVERSITY
Authors: Sidra Rizwan  , Saba Arshad  , Rehana Rehman
Published: July 2022

Drop out refers to the phase when a student is not able to complete the program of degree within the specified time. The danger of drop out is very serious in any education system including distance education. This article highlights major factors causing drop out at M.Phil level in Allama Iqbal Open University (AIOU), Pakistan. Allama Iqbal Open University is the only chartered Distance Education University which caters for over 1.3 million students across the country. The study aimed at finding various factors leading to drop out of students in different faculties at AIOU which offer M.Phil programs. It also aimed to find out differences of drop out rate among male and female students. The research is basically quantitative in nature with a survey design. The population of the study included all the drop out of M.Phil programs offered at AIOU. The sample consisted of total 101 students from three faculties i.e., Education, Social Sciences and Science 2012 session. The M.Phil prospectus of AIOU focuses on four main factors i.e., assignments, workshops, final exams, and thesis which need to be successfully completed for the award of degree in the program. These four factors were focused to develop an online questionnaire to collect data. Descriptive statistics, t-test and ANOVA were used for data analysis. The results indicated that the major factor of drop out across the three faculties was thesis. The findings further revealed no difference in the drop outrate of male and female M.Phil students due to assignments, workshop, and final exams whereas thesis remained the only factor which showed significant difference on the basis of gender, where more male students dropped out than females. To minimize dropout due to thesis, reforms need to be brought in the conduct of M.Phil research workshop at AIOU focusing specific criteria for monitoring the progress of M.Phil students during synopsis development and research work period and the contribution of supervisor in terms of time and commitment towards the supervisee. Further implementation of the prescribed criteria may be ensured by the academic administration and relevant departments of the three faculties offering M.Phil program at AIOU.
A HYBRID INTERNATIONAL CO-TEACHING MODEL: CASE STUDY FOR BIOMEDICAL ENGINEERING DEGREE
Authors: Garcia-Zapirain Begonya , Mendez-Zorrilla Amaia , Lago-Vilariño Ana Belen
Published: July 2022

"Degrees in Biomedical Engineering are increasingly present among the international offer. The study plans of each of them allow to provide a certain specialization towards the different sub-areas within biomedical engineering through electives: orthopedics, microbiology, robotics, biosensors or artificial intelligence applied to clinical data. The fact of including 4 subjects of artificial intelligence is another of the particularities and/or differential elements of the curriculum. The University of Deusto offers a new degree in Biomedical Engineering of 240 ECTS where all the subjects of the ""Bio"" subject are taught in English, and include ""master class"" among other teaching methodologies. The teaching modality is hybrid, with a module of 24 ECTS dedicated to state-of-the-art frameworks in bioengineering that is entirely taught virtually and where international experts in each subject participate as online teachers. This is what we call ""international co-teaching"" which allows students to have a more realistic view of the use of technologies for biomedical applications but in an international framework. These teaching modules will follow a methodology that will combine synchronous videoconference sessions by international experts with an asynchronous methodology that includes the use of gamified activities for both content presentation and evaluation. Moreover, the teaching modules will be designed and developed according to a number of learning cycles that promote the development of the independent and meaningful learning of students and promotes the development of their knowledge, skills, attitudes, competences and values. Each learning cycle has five stages: experiential context, reflective observation, conceptualisation, active experimentation and assessment. These stages facilitate students' active construction of the learning content and the meaningful integration of that knowledge that will allow subsequent recovery, application and transfer."
IRDI - METHODOLOGY: AN EDUCATIONAL PROGRAM FOR CHILDREN MENTAL HEALTH PROMOTION IN NURSERIES
Authors: Kupfer Maria Cristina , Bernardino Leda Marisa Fischer , Gonçalves Oneli
Published: July 2022

"In an attempt to propose educational programs that can improve mental health of children since early childhood, a group of researchers created, in first place, the IRDI protocol, validated as a tool to predict psychic risk to child development in general. The IRDI protocol includes 31 indicators focusing on the baby-caregiver relationship in the first 18 months of life, based on the premise that the foundations for mental health are established in this period and are dependent upon the bodily, affective and symbolic relations of the caregiver-baby dyad. Then, as a continuation of the IRDI validation, new research was proposed: the “IRDI Methodology – a psychoanalysis-based intervention with nursery educators” sought to assess the IRDI as a tool for accompanying and promoting mental health in child education institutions, and also aiming to prevent further problems such as school exclusion due to mental disruptions. The methodology consisted of a follow up of 364 children distributed in 26 nurseries in São Paulo through IRDI indicators during 9 months at the nursery. Absent IRDIs were an indication of possible obstacles to a child’s psychic constitution. When some of the mental health indicators were absent, the researcher worked along with the nursery caregiver in order to turn the indicators into present indicators. This paper presents the validation of the IRDI Methodology, which was based on the comparison of the rate of “turned present indicators” with AP3 results, a tool for assessment of mental health problems at the age of three. As a result, the children who had “turned present indicators” showed significantly more positive mental health indicators at the age of three at AP3 than those who didn’t. It was verified that the on-the-job accompanying of nursery caregivers had a preventative effect on the possibility of children displaying both developmental problems and obstacles to their psychic constitution."
A CASE OF AN ASSESSMENT MODULE IN DISTANCE EDUCATION AT THE UNIVERSITY OF PRETORIA
Authors: Mihai Maryke
Published: July 2022

"The purpose of the study was to thoroughly investigate the experiences of all role players in a Distance Education module. This study wanted to shed light on how the organisation of a specific Distance Education module, namely Assessment Approaches, could be improved. The study looked at the students’ experiences of the pedagogy (like the contact sessions) and the staff involved (the organisation and management of the module), the students' and tutors' experiences of the technology used and the content and assessment of the module. The methodology followed was a descriptive and explorative qualitative case study, using semi-structured interviews and online questionnaires. Semi-structured interviews were held with the current, and previous instructional designer of Distance Education, as well as the academic supporter of the assessment module. Questionnaires in Google Form format were sent to the tutors of the module as well as the students. Responses were obtained from three tutors and 22 students. Findings concluded that students chose the Distance Education qualification as a result of Covid-19 for their personal and professional development. The Distance Education administration is working effectively and is very helpful to the students, but strategies to increase student participation are needed. The contact sessions are effective but need to be done more often. The learning management system, Blackboard, is easy to use and user-friendly. Students specifically make use of the discussion board to communicate with each other and lecturers. They also find the contact sessions organised on Blackboard Collaborate useful and use the recordings of the sessions if they cannot attend virtually. They experience the assessment module as very relevant to their teaching practice. They would like to learn more about different subject-related applications. They believe the assessment activities for the module are well planned and they benefit specifically from the elementary statistical procedures."