bluuebunny/crossref_metadata_2025 huggingface dataset:
Molecular dynamics simulation and properties of bisphenol A epoxy resin modified by alicyclic blending
Authors: Jia Boyan , Tian Lin , Liu Jie , Wang Wanxian , Zhang Zhimeng , Sun Cuiying , Zhang Jiaxin , Zheng Xiongwei
Published: March 2022

In order to improve the comprehensive properties of bisphenol A epoxy resin (DGEBA), the alicyclic epoxy resin blend was used to modify the DGEBA. The crosslinking model was established and the thermodynamic mechanism was analyzed by Molecular Dynamics (MD) simulation. The thermal, mechanical and electrical properties of the blend system were comprehensively analyzed through experiments. The research results show that when the introduction amount of alicyclic epoxy resin is between 10% and 20%, the thermal-mechanical-electrical comprehensive performance of the blending system reaches the best. Compared with bisphenol A epoxy resin, the glass transition temperature of the modified system is increased by 3.18%. The flexural strength and tensile strength are increased by 3.92% and 3.95%. The power frequency breakdown field strength is correspondingly increased by 7.16%, the leakage current is reduced by 6.11%, and the dielectric loss factor is reduced by 23.8%. Bisphenol A epoxy resin modified with alicyclic epoxy resin has excellent electrical application prospects.
The impact of the opening of the high-speed railway in the Silk Road economic belt on the regional economy based on the double difference method (PSM-DID)
Authors: Zhang Xuan , Jiang Yaxin , Feng Jing
Published: March 2022

Based on the perspective of the transportation economic belt, this paper studies the impact of the opening of the high-speed rail in the Silk Road Economic Belt on the regional economy. Taking the panel data of 74 cities in the five northwestern provinces and four southwestern provinces in the Silk Road Economic Belt from 2003 to 2018 as a sample, using propensity score matching and double difference method (PSM-DID) to conduct empirical research, the research found that: Firstly, in the urban agglomeration of the Silk Road Economic Belt, whether from the perspective of significance or robustness, the opening of high-speed rail has a significant positive impact on the regional economic effect, and there is a certain lag. Secondly, there is obvious heterogeneity in the impact of high-speed rail effect. In terms of city size, small and medium-sized cities are more affected by the opening of high-speed rail than large cities. From the administrative level, general cities are more susceptible to the opening of high-speed rail than key cities, and their economic development is better under the influence of high-speed rail effect. Thirdly, in terms of transmission mechanism, it is found that the opening of high-speed railway can promote urban economic development by improving the optimization of industrial structure, promoting labor mobility and reducing pollution emissions.
Engineering mathematical calculation method for curved surface die design of metal materials
Authors: Wang Xiaohua , Peng Chao
Published: March 2022

The design of metal material curved surface die is a common problem in engineering. From the perspective of intelligent manufacturing, this paper analyzes the mechanism and design key points of metal material curved surface die, establishes the mathematical model of die design by using the matrix equation method, and puts forward a general engineering mathematical calculation method of segmented die design. Based on the look-up table calculation, this scheme can simplify the calculation method and reduce the calculation error, which is suitable for general engineering die processing calculation.
Frame design of the BIM based budget software of nuclear power projects
Authors: Lu Chunhua , Wang Xuan , Nie Liming , Bao Wenjie , Huang Xiaodong , Yang Fan , Wang Bo , Huang Chengpeng
Published: March 2022

With the continuous update and iteration of Internet information technology, the application of BIM (Building Information Modeling) technology in the fields of project management, cost and construction is becoming more and more popular. The field of project cost relies on the significant advantages of BIM technology to realize the intelligence of project cost management. It can effectively promote the horizontal information collection and vertical information interaction of different participants, and achieve a good information exchange and interaction effect. This paper combines the characteristics of China nuclear power engineering projects, applies building information modeling (BIM) technology, and integrates it into the nuclear power engineering cost software framework. This paper firstly analyzes the basic characteristics of China nuclear power engineering cost software, and puts forward the key functional requirements for existing cost software. On this basis, the basic characteristics of foreign mainstream construction cost software with BIM technology and the feasibility of its application in China is also analyzed. The model consists of two parts, namely the BIM data management platform and the functional model of the construction project budget subsystem. Among them, the BIM data management platform realizes the analysis, storage and management of IFC (Industry Foundation Class) data, and provides a user interface for specific professional fields, such as the field of construction engineering budget, while the construction engineering budget subsystem provides users with cost budgeting expertise. In addition, this paper describes in detail the method of using BIM technology to create the most used pipe network model in cost assessment. Based on Revit software, combined with the use of visual programming tools Dynamo and Revit API, the repetitive and tedious manual modeling process is automated to compete the creation of the BIM model of a large number of pipe networks in a relatively short time, and make the model carry rich engineering information. This paper establishes a basic framework suitable for China nuclear power engineering cost software, which can lay the foundation for the subsequent development of corresponding software. The pipeline network BIM establishment method proposed in this paper can greatly improve the work efficiency of traditional CAD modeling, realize seamless connection with cost assessment, and has broad engineering application prospects.
Fuzzy-Dedup: A secure deduplication model using cosine based Fuzzy interference system in cloud application
Authors: Rajkumar K. , Dhanakoti V.
Published: March 2022

Storage consumption is increasing significantly these days, with consumers trying to find an effective approach to safe storage space. In these situations, a deduplication in cloud storage services is a significant way to reduce bandwidth and service space by omitting unnecessary information and keeping only a single copy of the information. This raises computational, privacy and storage issues when large numbers of handlers outsource the similar data to cloud service storage. To overcome these problems, an effective Fuzzy-Dedup framework is designed in this research by integrating four steps namely is introduced, which breaks down the data into fixed size chunks and is immediately fingerprinted by a hashing algorithm for ensuring data authentication and then indexing is done with the help of traditional b-tree indexing, similarity function is calculated to compute the similarity value in the documents. After calculating the similar values, the fuzzy interference system is designed by formulating appropriate rules for the decision-making process that determines duplicate and non-duplicate files by obtaining an effective de-duplication ratio over existing methods. After detecting duplicate files, the inline based deduplication policy checks that the new data is ready to send for storage against existing data and does not store any redundant data it discovers. The proposed model is implemented in MATLAB software is carried out several performance metrics and these parameter attained better performance such as, deduplication ratio of 1.2, memory utilization of 12500 bytes in inline and 9550 bytes in offline, throughput of 32500 Mb/s in inline and 25500 Mb/s in offline and processing time of 0.4494 s in inline and 0.1139 s in offline. Thus when compared to previous methods, such as Two Thresholds Two Divisors deduplication (TTTD) approach proposed design shows high range of performance.
SOLO taxonomy-based knowledge structure with subjective items
Authors: Wu Rong , Lin Yidong
Published: March 2022

As an important mathematical theory in intelligent learning and assessment system, knowledge space theory merely cares about items are mastered or non-mastered. Thus it needs to be further explored to achieve more precise and interpretable analysis. To this end, this paper mainly focuses on knowledge structures in corporate with Solo taxonomy. Then, fuzzy knowledge structure and fuzzy learning space are gradually developed. The corresponding knowledge base and surmise relation are explored respectively as well. In such case, the induced maximal knowledge space and its properties are further studied sufficiently. And three kinds of skill models are put forward based on skill proficiency. Finally, a case study is presented to illustrate the advantage in learning description.
RETRACTED: BMCSA:Multi-feature spatial convolution semantic matching model based on BERT
Authors: Zhang Zhe , Zhang Yiyang , Li Xiang , Qian Yurong , Zhang Tao
Published: March 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: Hybrid cluster made content forwarding and light weight sign encryption IoT based Named Data Network using African Buffalo optimization algorithm
Authors: Vijaya Karthik S.V. , Arputha Vijaya Selvi J.
Published: March 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
GraceOutZip: Graceful labeled Graph summarization approach with Percolated anomalous discovery
Authors: Sadhasivam Saranya , Murugasamy Rajalakshmi
Published: March 2022

Voluminous graph data management is a daunting problem in every real world application of a kind, besides the advancements in computation and storage technology. Efficient graph summarization techniques were contributed to achieve the substantial need for preserving novelty in social graphs. A GraceOutZip compression friendly graph reordering technique using graceful labeling strategy is adopted. User defined probabilistic selection method that provides unique labels for every identified outlier for potential use. Proposed method exploits unicycle-star based community representation rendering assignment of both node and edge labels based on graceful property. A novel mathematical programming model GraceOutZip is proposed to perform lossless compression with graph decomposition and unique label arrangement with intention for futuristic graph reconstruction. The experimental study on different real world network datasets demonstrates that GraceOutZip shows better scalable performance in perspective of interactive large-scale visual analytics and query optimization with 4 times better compression than the state-of-the-art representative method.
RETRACTED: IoT based artificial intelligence indoor air quality monitoring system using enabled RNN algorithm techniques
Authors: Ramachandraarjunan Senthilkumar , Perumalsamy Venkatakrishnan , Narayanan Balaji
Published: March 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
On Atangana-Baleanu fuzzy-fractional optimal control problems
Authors: Younus Awais , Ghaffar Iram
Published: March 2022

Optimal control is a very important field of study, not only in theory but in applications, and fractional optimal control is also a significant branch of research in theory and applications. Based on the concept of fuzzy process, a fuzzy fractional optimal control problem is presented. In this article, we derived the necessary and sufficient optimality conditions for a class of fuzzy-fractional optimal control problems (FFOCPs) with gH-Atangana-Baleanu fuzzy-fractional derivative expressed in Caputo sense. The main aim is to find the best possible control that minimizes the fuzzy performance index and satisfies the related ABC fuzzy-fractional dynamical systems. We also presented some examples for more illustration of the subject.
A novel transfer deep learning model with reinforcement-learning-based hyperparameter optimization for short-term load forecasting during the COVID-19 pandemic
Authors: Zhang Shuai , Chen Qian , Zeng Wenhua , Guo Shanshan , Xu Jiyuan
Published: March 2022

The coronavirus disease 2019 pandemic has significantly impacted the world. The sudden decline in electricity load demand caused by strict social distancing restrictions has made it difficult for traditional models to forecast the load demand during the pandemic. Therefore, in this study, a novel transfer deep learning model with reinforcement-learning-based hyperparameter optimization is proposed for short-term load forecasting during the pandemic. First, a knowledge base containing mobility data is constructed, which can reflect the changes in visitor volume in different regions and buildings based on mobile services. Therefore, the sudden decline in load can be analyzed according to the socioeconomic behavior changes during the pandemic. Furthermore, a new transfer deep learning model is proposed to address the problem of limited mobility data associated with the pandemic. Moreover, reinforcement learning is employed to optimize the hyperparameters of the proposed model automatically, which avoids the manual adjustment of the hyperparameters, thereby maximizing the forecasting accuracy. To enhance the hyperparameter optimization efficiency of the reinforcement-learning agents, a new advance forecasting method is proposed to forecast the state-action values of the state space that have not been traversed. The experimental results on 12 real-world datasets covering different countries and cities demonstrate that the proposed model achieves high forecasting accuracy during the coronavirus disease 2019 pandemic.
Deep transfer learning based human activity recognition by transforming IMU data to image domain using novel activity image creation method
Authors: Mohammed Hashim B.A. , Amutha R.
Published: March 2022

Human Activity Recognition (HAR) is the most popular research area in the pervasive computing field in recent years. Sensor data plays a vital role in identifying several human actions. Convolutional Neural Networks (CNNs) have now become the most recent technique in the computer vision phenomenon, but still, it is premature to use CNN for sensor data, particularly in ubiquitous and wearable computing.Deep CNN requires huge dataset and models which increases the computational complexity. Transfer learning that uses the pre trained CNNwith fine tuning is the better alternative to reduce the training cost.In this paper, we have proposed the idea of transforming the raw accelerometer and gyroscope sensor data to the visual domain by using our novel activity image creation method (NAICM). Pre-trained CNN (AlexNet) has been used on the converted image domain information. The proposed method is evaluated on several online available human activity recognition dataset. The results show that the proposed novel activity image creation method (NAICM) has successfully created the activity images with a classification accuracy of 98.36% using pre trained CNN.
A semantic-based approach for hepatitis C virus prediction and diagnosis using a fuzzy ontology and a fuzzy Bayesian network
Authors: Riali Ishak , Fareh Messaouda , Ibnaissa Mohamed Chakib , Bellil Mounir
Published: March 2022

Medical decisions, especially when diagnosing Hepatitis C, are challenging to make as they often have to be based on uncertain and fuzzy information. In most cases, that puts doctors in complex yet uncertain decision-making situations. Therefore, it would be more suitable for doctors to use a semantically intelligent system that mimics the doctor’s thinking and enables fast Hepatitis C diagnosis. Fuzzy ontologies have been used to remedy the shortcomings of classical ontologies by using fuzzy logic, which allows dealing with fuzzy knowledge in ontologies. Moreover, Fuzzy Bayesian networks are well-known and widely used to represent and analyze uncertain medical data. This paper presents a system that combines fuzzy ontologies and Bayesian networks to diagnose Hepatitis C. The system uses a fuzzy ontology to represent sequences of uncertain and fuzzy data about patients and some features relevant to Hepatitis C diagnosis, enabling more reusable and interpretable datasets. In addition, we propose a novel semantic diagnosis process based on a fuzzy Bayesian network as an inference engine. We conducted an experimental study on 615 real cases to validate the proposed system. The experimentation allowed us to compare the results of existing machine learning algorithms for the Hepatitis C diagnosis with the results of our proposed system. Our solution shows promising results and proves effective for fast medical assistance.
Fault aware intelligent resource allocation using Big Bang-Big Crunch trained neural network for cloud infrastructure
Authors: Gupta Punit , Mundra Shikha , Goyal Mayank Kumar , Khaitan Supriya , Dewan Ritu , Mundra Ankit , Rajpoot Abha Kiran
Published: March 2022

This Ongoing COVID-19 epidemic situation, which has resulted in the loss of lives and economics. In this scenario, social distancing is the only way to prevent ourselves. In such a scenario to boost the economy, a globally large number of industries and businesses have shifted their system to cloud-like education, shipping, training and many more globally. To support this transition cloud services are the only solution to provide reliable and secure services to the user to sustain their business. Due to this, the load over the existing cloud infrastructure has drastically increased. So it is the responsibility of the cloud to manage the load over the existing infrastructure to maintain reliability and serve high-quality services to the user. Task allocation in the cloud is one of the key features to optimize the performance of cloud infrastructure. In this work, we have proposed a prediction-based technique using a pre-trained neural network to find a reliable resource for a task based on previous training and history of cloud and its performance to optimize the performance under the overloaded and under loaded situation. The main aim of this work is to reduce the fault and provide high performance by reducing scheduling time, execution time and network load. The proposed model uses the Big Bang Big Crunch algorithm to generated huge datasets for training our neural model. The accuracy of the BB-BC-ANN model is improved with 98% accuracy.
The Role of Microelectrode Recording and Stereotactic Computed Tomography in Verifying Lead Placement During Awake MRI-Guided Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease
Authors: Vinke R. Saman , Selvaraj Ashok K. , Geerlings Martin , Georgiev Dejan , Sadikov Aleksander , Kubben Pieter L. , Doorduin Jonne , Praamstra Peter , Bloem Bastiaan R. , Bartels Ronald H.M.A. , Esselink Rianne A.J.
Published: March 2022

Background: Bilateral deep brain stimulation of the subthalamic nucleus (STN-DBS) has become a cornerstone in the advanced treatment of Parkinson’s disease (PD). Despite its well-established clinical benefit, there is a significant variation in the way surgery is performed. Most centers operate with the patient awake to allow for microelectrode recording (MER) and intraoperative clinical testing. However, technical advances in MR imaging and MRI-guided surgery raise the question whether MER and intraoperative clinical testing still have added value in DBS-surgery. Objective: To evaluate the added value of MER and intraoperative clinical testing to determine final lead position in awake MRI-guided and stereotactic CT-verified STN-DBS surgery for PD. Methods: 29 consecutive patients were analyzed retrospectively. Patients underwent awake bilateral STN-DBS with MER and intraoperative clinical testing. The role of MER and clinical testing in determining final lead position was evaluated. Furthermore, interobserver variability in determining the MRI-defined STN along the planned trajectory was investigated. Clinical improvement was evaluated at 12 months follow-up and adverse events were recorded. Results: 98% of final leads were placed in the central MER-track with an accuracy of 0.88±0.45 mm. Interobserver variability of the MRI-defined STN was 0.84±0.09. Compared to baseline, mean improvement in MDS-UPDRS-III, PDQ-39 and LEDD were 26.7±16.0 points (54%) (p < 0.001), 9.0±20.0 points (19%) (p = 0.025), and 794±434 mg/day (59%) (p < 0.001) respectively. There were 19 adverse events in 11 patients, one of which (lead malposition requiring immediate postoperative revision) was a serious adverse event. Conclusion: MER and intraoperative clinical testing had no additional value in determining final lead position. These results changed our daily clinical practice to an asleep MRI-guided and stereotactic CT-verified approach.
Optimization in synthesize of organic macrocyclic compounds in presence of nano copper chromite catalyst
Authors: Barekat Afsaneh , Hadavand Behzad Shirkavand , Rayatzadeh Ayeh , Badri Rashid
Published: March 2022

Nowadays, different structures of organic macrocyclic compounds are considered because of their attractive applications. One of the main problems in the synthesis of these materials is their long reaction time but low reaction yield. The use of catalysts can be effective in solving this problem. Among the catalysts, nano-copper chromite can be a good choice due to its good performance in the synthesis of organic compounds. In addition, the Response Surface Methodology was used to investigate the effective parameters in the synthesis more precisely. Based on the previous results of the synthesis and experiments, the catalyst content from 0% to 5% to raw material and reaction time between 24 and 96 h was chosen for the design of the experiment. After determining the reaction yield results, a suitable model was selected and its accuracy was evaluated. Results showed for yields above 95% with minimum catalyst (2.29%) the reaction time of 88 h and for minimum time (65 h), 3.85% of the catalyst is required. This yield with copper chromite nanocatalysts approximately compared to conventional methods for the synthesis of calix[4]resorcinarene was doubled.
Answer selection in community question answering exploiting knowledge graph and context information
Authors: Boroujeni Golshan Afzali , Faili Heshaam , Yaghoobzadeh Yadollah
Published: March 2022

With the increasing popularity of knowledge graph (KG), many applications such as sentiment analysis, trend prediction, and question answering use KG for better performance. Despite the obvious usefulness of commonsense and factual information in the KGs, to the best of our knowledge, KGs have been rarely integrated into the task of answer selection in community question answering (CQA). In this paper, we propose a novel answer selection method in CQA by using the knowledge embedded in KGs. We also learn a latent-variable model for learning the representations of the question and answer, jointly optimizing generative and discriminative objectives. It also uses the question category for producing context-aware representations for questions and answers. Moreover, the model uses variational autoencoders (VAE) in a multi-task learning process with a classifier to produce class-specific representations for answers. The experimental results on three widely used datasets demonstrate that our proposed method is effective and outperforms the existing baselines significantly.
Tab2KG: Semantic table interpretation with lightweight semantic profiles
Authors: Gottschalk Simon , Demidova Elena
Published: March 2022

Tabular data plays an essential role in many data analytics and machine learning tasks. Typically, tabular data does not possess any machine-readable semantics. In this context, semantic table interpretation is crucial for making data analytics workflows more robust and explainable. This article proposes Tab2KG – a novel method that targets at the interpretation of tables with previously unseen data and automatically infers their semantics to transform them into semantic data graphs. We introduce original lightweight semantic profiles that enrich a domain ontology’s concepts and relations and represent domain and table characteristics. We propose a one-shot learning approach that relies on these profiles to map a tabular dataset containing previously unseen instances to a domain ontology. In contrast to the existing semantic table interpretation approaches, Tab2KG relies on the semantic profiles only and does not require any instance lookup. This property makes Tab2KG particularly suitable in the data analytics context, in which data tables typically contain new instances. Our experimental evaluation on several real-world datasets from different application domains demonstrates that Tab2KG outperforms state-of-the-art semantic table interpretation baselines.
Proposal for a maintenance management system based on the lean philosophy and industry 4.0
Authors: Mendes David Samuel Fernandes Tavares , Navas Helena Victorovna Guitiss , Charrua-Santos Fernando Manuel Bigares
Published: March 2022

Purpose: Develop a new model that combines the concepts of Maintenance, Lean Philosophy, and Industry 4.0 to improve maintenance management. Methodology/Approach: For the elaboration the following methodology was used: Bibliographic review of the existing models of joint application: Maintenance, Lean Philosophy, and Industry 4.0. Critical analysis of the existing models of joint application of the three concepts. Preparation of the model proposal and analysis of the results. Findings: The model developed is easy to apply, flexible and inexpensive, being a useful tool for both the maintenance and production areas, in any size and industrial area. Research Limitation/implication: One of the limitations is the distance between the devices that make up the system, as it can influence their performance. The implementation of Total Productive Maintenance can present some challenges within companies. Originality/Value of paper: The study presents a new model to improve maintenance management, being unique since the existing models are mostly focused on predictive maintenance. The system also allows the introduction of the monitoring of other important parameters such as vibrations, temperature among others.
Student's Errors in Contructing Passive Voice
Authors: Husni Rauldatul
Published: March 2022

There are many aspects discussed in English Grammar, one of them is passive voice, Students usually found the difficulties when they are learning passive voice, such as lack of vocabulary, less of simple past tense understanding and also they got hard time to distinguish between active and passive voice because they did not know the basic tenses mainly in simple past tense form, so when they were shown the formula of passive voices, especially in simple past tense, they barely understood and confused. This researcher used qualitative method, the design of the research was case study. Researcher analyzed and described the data from the output of the test by using qualitative method. Then,researcher analyzed the students’ errors in transforming the passive voice, and to find out the type of errors, that the students made most in their test in transforming voice of simple past tense, and also to know in terms of verb “be”,correct verb, transformation active sentence into passive sentence and transformation passive sentence into active sentence. The results of this researcher are concludes that the types of error that were made by the in transforming the passive voice from the highest percentage to the lowest are error of misformation, error of omission, and error of misordering. Researcher found that the commonest errors made by the students were the errors of misformation which take up 108 errors or 57%. It i s followed by errors in omission with percentage 23%, and errors in misordering with percentage 20%.
Avaliação do Letramento em Saúde em Pacientes com Câncer Hematológico Submetidos ao Transplante de Células-Tronco Hematopoiéticas
Authors: Rodrigues Brena Custódio , Sales Andressa Eslayne Caldas , Rodrigues Bruna Custódio , Mendonça Priscila da Silva
Published: March 2022

Introdução: Pacientes com câncer hematológico, candidatos a transplante de células-tronco hematopoiéticas (TCTH), requerem um autocuidado extenso, com tratamentos complexos e comportamentos de saúde adequados que são considerados fator-chave. Frente a essas complexidades, surge a importância do letramento em saúde. Objetivo: Descrever o nível de letramento e avaliar as inter-relações existentes entre letramento em saúde, estado nutricional, condições sociodemográficas e clínicas nos pacientes com câncer hematológicos e candidatos a TCTH em um hospital universitário terciário de Fortaleza-CE. Método: Estudo de caráter transversal realizado com 69 pacientes candidatos a TCHT, atendidos nesse hospital, que responderam à versão validada e traduzida do Newest Vital Sign (NVS-Br). Os dados clínicos e sociodemográficos foram coletados por meio da análise dos prontuários. O estado nutricional foi avaliado pelo índice de massa corporal (IMC), circunferência da cintura (CC) e CC associada à relação cintura-quadril (RCQ). Resultados: O letramento inadequado foi encontrado em 78,3% dos pacientes. Os fatores foram associados à idade (p=0,024), à baixa renda (p=0,005) e a menos anos de estudo (p=0,047). Conclusão: O estudo aponta para a necessidade de se melhorar o grau de letramento em saúde dos pacientes, a fim de obter melhores resultados no tratamento, principalmente naqueles que apresentam idade mais avançada, baixa renda e menor escolaridade.
Il disagio infrastrutturale nelle scuole italiane: contesto europeo e caratterizzazione territoriale
Authors: Gasperoni Giancarlo
Published: March 2022

Si esplora la qualità dell'infrastruttura delle scuole italiane percepita dai dirigenti scolastici, secondo dati tratti dall'edizione 2018 del Programme for International Student Assessment (PISA). Indici di "disagio" (riferiti a infrastrutture, docenti, personale non docente e materiali didattici) mostrano che in Italia le criticità infra-strutturali sono più avvertite rispetto sia ad altri paesi europei sia agli altri ambiti indagati, ma senza una forte differenziazione territoriale interna.
La scuola di prossimità. Alleanze territoriali per la realizzazione di nuove forme educative nella piccola scuola
Authors: Rita Giuseppina , Mangione Jose , Cannella Giuseppina
Published: March 2022

Le riflessioni presenti in questo saggio derivano da indagini sui territori e da un lavoro di analisi condotto dai ricercatori INDIRE in collaborazione con un hub virtuale di piccole scuole costituito spontaneamente durante il periodo pandemico. Richiamando il dibattito pedagogico sul tema del rapporto tra la piccola scuola e il territorio, vengono presentati alcuni casi paradigmatici frutto di un lavoro di tema-tizzazione di forme di scuola diffusa in cui è l'istituzione educativa a divenire un agente di cambiamento.
Ripensare il sistema dell'istruzione a partire dai territori: l'esperienza della Puglia
Authors: Lamacchia Maria Raffaella , Pastore Rocco
Published: March 2022

Nell'epoca del downsizing demografico è necessario ripensare obiettivi e strumenti per il riparto delle risorse e le regole per l'organizzazione dell'edilizia e della rete scolastica, a partire da solide conoscenze e lungimiranti strategie urbane e territo-riali. A partire da pratiche innovative messe in campo da Regione Puglia, si propo-ne una riflessione sul ruolo delle scuole quali spazi di apprendimento e attori stra-tegici di cambiamento nella città contemporanea.
Spanish North African Enclaves and Urban Networks in the Western Mediterranean in the Early Sixteenth Century
Authors: Liang Gen
Published: March 2022

Starting in 1497, Spain conquered towns in North Africa including Oran, Melilla, and Bugía. Scholars focusing on military and political history have emphasized the Christian outposts' isolation from the Muslim hinterland and the Spain itself. This article takes a different direction by examining the enclaves as urban centres. Spanish officials conceptualized Maghribi space as a series of towns. Iberian campaigns often seized a sequence of settlements, rather than just one site or broad territories. Once conquered, these ‘plaças' formed infrastructure and demographic centres that concentrated power, consumption, and exchange. They served as entry points for Spaniards in the area and as contact points for North Africans with Europeans. Overall, the enclaves participated in a network of western Mediterranean towns. A focus on Oran-Tlemcen relations in the 1520-1530s helps illustrate such interaction, as well as the competition and unmet expectations that also limited connections.
Capital cities, peripheral courts
Authors: Cremonini Cinzia
Published: March 2022

The central role of the city in European history has been studied from a vast number of perspectives using multiple methodologies. In the centuries of the old regime, the Spanish Monarchy relied heavily on its cities to govern and control its vast territories in Europe and in the New World. In the second half of the 17th century, the work by Alonso Nuñez de Castro, Solo Madrid es corte, enjoyed great success and was published in several editions. The analysis of this text (in light of the contemporary European political events, of the shifting power balance from the Spanish to the imperial branch of the Habsburg dynasty, and of the new needs related to the problem of the Spanish succession) allows us to suggest some hypotheses for the interpretation of concepts such as ‘composite monarchy' and ‘polycentric monarchy' that have recently characterized the historiographical debate.
Prima di tutto le relazioni industriali
Authors: Carrieri Mimmo
Published: March 2022

L'Autore, in dialogo con Lauralba Bellardi, riflette sul recente andamento della contrattazione decentrata. Le difficoltà che questo livello trova nell'affermarsi possono essere superate attra-verso una rinnovata sinergia tra contrattazione, relazioni industriali e politiche pubbliche.
Contrattazione collettiva e politiche attive del lavoro
Authors: Ciucciovino Silvia
Published: March 2022

Il saggio approfondisce il ruolo dei diversi soggetti, pubblici e privati, chiamati a realizzare le politiche attive del lavoro, evidenziando come nel contesto attuale prevalga una concezione prettamente pubblicistica delle politiche attive con un ruolo marginale degli attori privati e dell'autonomia collettiva. L'Autrice propone una innovativa rilettura dei fondamenti costitu-zionali della materia e della normativa vigente, per passare a rivalutare il ruolo regolativo autonomo diretto dello Stato nella materia, superando l'eccessiva regionalizzazione delle politiche attive, e per argomentare un più forte protagonismo delle parti collettive e dei fondi interpro-fessionali nell'assunzione di responsabilità in questa materia. Viene altresì criticata la prevalen-te impostazione rimediale e posticipata delle politiche attive rispetto all'evento disoccupazione e proposto un impulso maggiore alle misure di prevenzione della disoccupazione e della margi-nalità lavorativa, dove il ruolo della bilateralità e delle parti sociali appare di centrale importan-za.
Santa Sede, Italia, Austria e la questione dei nuovi confini della diocesi di Bressanone (1920-1925).
Authors: Esposito Assunta
Published: March 2022

Nel primo dopoguerra alla S. Sede toccò il difficile compito di rivedere i confini della diocesi di Bressanone, sancendo in via ecclesiastica quanto politicamente era stato disposto dai trattati di pace con il passaggio all'Italia del Tirolo meridionale tedesco (Deutsches Südtirol). La diocesi, estesa sui due versanti delle Alpi, si trovava ora divisa in due dal nuovo confine statale del Brennero. Non poteva essere ignorata dalla S. Sede la richiesta italiana di procedere ad una separazione completa della parte italiana da quella austriaca della diocesi, così come non poteva rimanere inascoltato il desiderio austriaco di mantenere in essere il legame ecclesiastico di lunga data. Collegata al nuovo assetto di Bressanone si trovava pure la questione dei decanati tedeschi della diocesi di Trento, dove clero e fedeli, in contrasto da tempo per questioni nazionali con il vescovo italiano Endrici, chiedevano per i buoni uffici del vescovo Waitz di essere sottratti a quella giurisdizione e di unirsi alla diocesi tutta tedesca di Bressanone. Il saggio ricostruisce sulla base di una documentazione archivistica inedita le alterne fasi di una procedura particolarmente laboriosa rimasta finora ignota, che si concluse con la soluzione provvisoria varata nel 1925. Una soluzione destinata in realtà a rimanere in vigore fino alla metà degli anni Sessanta.
Documenti: Progetto di implementazione degli interventi per la salute mentale in epoca pandemica e post-pandemica
Authors:   Coordinamento Nazionale Scuole Psicoterapia (CNSP),   Federazione Italiana delle Associazioni di Psicoterapia (FIAP),   Società Italiana di Psicoterapia (SIPSIC)
Published: March 2022

La pandemia di COVID-19 ha messo in evidenza le gravi difficoltà che da tempo attraversa il campo della salute mentale a causa dei progressivi tagli di personale e della sofferenza che pesa sulla popolazione e sugli stessi operatori. Le tre associazioni CNSP, FIAP e SIPSIC, che rappresentano la maggioranza degli psicoterapeuti italiani dei diversi orientamenti, richiedono interventi mirati, tra cui vi sono i seguenti: il rispetto e l'aggiornamento dei Livelli Essenziali di Assistenza (LEA) nei Servizi; l'aumento del numero degli psicoterapeuti; il riconoscimento della necessità di interventi psicoterapeutici mirati alle diverse forme di disagio e fasi del ciclo vitale; convenzioni o protocolli di intesa tra il Servizio Sanitario Nazionale e i Centri clinici delle Scuole di psicoterapia legate ad associazioni scientifiche.
Interventi: Alfred Adler e la Psicologia Individuale tra semplificazioni e complessità
Authors: Mazzoli Giansecondo
Published: March 2022

Questo commento sull'articolo di Cesare Romano (2022) costituisce una integrazione a questo testo che presenta in modo corretto, ma parziale, la relazione tra le vicende biografiche della vita di Alfred Adler e l'ideazione di costrutti psicologici che hanno concorso a dare struttura all'impianto teorico della Psicologia Individuale. Pur nella sua sinteticità, il commento integra quanto non pro-posto nell'articolo; ma è anche occasione per lasciar intravvedere la più significativa articolazione della teoria di Alfred Adler. Viene ripercorso, in poche righe, il topos che ha spesso accompagna-to l'interpretazione della Psicologia Individuale: di essere una teoria semplice, facilmente descrivi-bile con il ricorso ad alcuni concetti cardine. In realtà è una teoria che apre numerose prospettive per la comprensione della complessità del funzionamento mentale che, nel presente commento, è in parte descritta e in parte lasciata solo intendere.
L'irrappresentabile ombelico del trauma. Sul dibattito scaturito dall'articolo di Howard B. Levine
Authors: Giglio Francesco
Published: March 2022

Freud, pur passando dall'ipotesi del trauma psichico accaduto a quella della mera interpretazione soggettiva, manterrà sempre la tesi di eziopatogenesi traumatica delle nevrosi. Da qui l'importanza del trauma, concetto rispetto al quale Howard Levine (2021) segnala un'esigenza psicoanalitica condivisa di maggiore coerenza. Simile necessità, insieme clinica e teorica, passa dalla rinnovata attenzione al registro simbolico, al trauma del linguaggio e alle dolorose parole originarie che han-no generato il soggetto. Fuori dalle sterili contrapposizioni immaginarie fra trauma davvero acca-duto o solo interpretato dal soggetto, oppure tra affetti, corpo e parole, un trauma è reso tale dall'esito distruttivo sulla trama simbolica. Il ritorno del trauma infantile nella forma di avveni-menti attuali rinvia all'inadeguato trattamento simbolico della vicenda traumatica. Occorre allora che il lavoro clinico, ove possibile, si concentri sulle parole, pur dense di affetti, affinché l'antica vicenda cessi di ripetersi per diventare definitivamente passato.
Il respiro del Sahel. Rappresentazioni di uno spazio in movimento
Authors: Pase Andrea , Gianoli Federico , De Felice Luca , Bertoncin Marina , Cherlet Michael , Kronenburg García Angela
Published: March 2022

Il Sahel è un'area geografica che, nel tempo, è stato oggetto di molteplici definizioni, climatico-botaniche e politiche: i suoi limiti sono stati disegnati in modi molto diversi. Non mancano posizioni di aperta contestazione del senso stesso di questa denominazione e della relativa delimitazione. Il lavoro proposto prova a immaginare una cartografia capace di rappresentare il movimento incessante di condizioni, limiti e possibilità che caratterizza questa fascia posta fra il Sahara e le umide regioni sudanesi, rendendo la definizione areale del Sahel – allo stesso tempo – possibile e fluida. Si tratta però di ripensare dalle fondamenta, dal loro ‘dato per scontato', alcuni attrezzi usuali della rappresentazione cartografica, ad esempio il concetto di ‘isoieta' per identificare le aree climatiche o di ‘confine' per racchiudere giurisdizioni politiche. Conoscenze provenienti dal fieldwork e competenze nell'elaborazione di dati satellitari e georeferenziati convergono in questo percorso di analisi e di rappresentazione.
Calogero Muscarà(1929-2020)
Authors: Scaramellini Guglielmo , Muscarà Luca
Published: March 2022

Il 5 novembre 2020, a novantun'anni, il professor Calogero Muscarà è mancato per una polmonite interstiziale, nonostante avesse superato l'infezione da Covid-19. Egli stava ancora lavorando, con la passione e la lucidità che Gli erano sempre state proprie, sui temi ai quali si era dedicato fin dai primi anni di studio: Venezia, la sua storia e il suo presente; il sistema politico-amministrativo italiano dall'Unità a oggi e i suoi rapporti con l'evoluzione socio-economica-culturale del Paese in chiave territoriale; il concetto di megalopoli e la sua possibile applicazione all'Italia, tema cui era dedito dagli anni Settanta. Solo poche settimane prima aveva infatti licenziato l'articolo "Compartimentazione amministrativa dello Stato italiano e processi di formazione di una megalopoli nel Nord Italia", l'ultimo che abbia dato alle stampe e che uscirà quest'anno in un volume collettaneo a lui dedicato (Scaramellini, a cura di, 2022). Non Gli è stato possibile invece completare un altro saggio, più approfondito e articolato, sul medesimo tema e in gestazione da lungo tempo, a causa di un incidente informatico, ma soprattutto per l'incalzare del tempo e forse il presentimento che la pandemia lo attendesse al varco. Tale saggio, già steso a grandi linee ma ancora senza titolo, ripercorreva un tema sempre a Lui caro, fin dal suo esordio nella Geografia italiana: la storia dei rapporti intercorsi fra il mutare dell'ordinamento politico-amministrativo del Paese dopo l'Unità e il non sempre convergente sviluppo sociale, culturale, economico, in una parola, civico del sistema-Paese Italia e delle sue partizioni ‘regionali' (secondo i tratti delineati da Pietro Maestri nel 1868 e sostanzialmente confermate nelle successive vicende politiche, istituzionali, sociali, culturali, economiche, fino ai giorni nostri). Professore emerito della Sapienza, presidente della World Society for Ekistics, membro onorario della Société de Géographie de Paris e della Società geografica italiana di Roma, Calogero Muscarà è stato protagonista del rinnovamento della geografia italiana nel periodo del ‘miracolo economico', affrontando nei decenni successivi l'analisi dei profondi cambiamenti avvenuti nell'organizzazione del territorio italiano dalla fine della seconda guerra mondiale e le conseguenti problematiche ambientali, economiche, regionali, urbane e culturali, e contribuendo alla diffusione della geografia francese in Italia e alla conoscenza della geografia italiananel mondo francofono.
Impact of green walls on the performance of a building in a Mediterranean climate
Authors: Campiotti Carlo Alberto , Scibetta Carlo , Caltabellotta Noemi , Giagnacovo Germina , Jotautiene Eglè
Published: March 2022

The use of a passive dissipation system on a building reduces energy consumption and improves energy efficiency. This technology is important considering that in the EU more than 40% of primary energy consumption for heating and cooling derive by the construction sector. This article reports the effects of a green wall, spaced 60 cm from the building wall, placed on a demonstration building at the ENEA Casaccia Research Center. The values of global solar radiation parameters, wall surface temperature, relative humidity inside and outside the interspace between the green wall and the building were detected. The results show that plant greening on the building reduces heat flux into the building, by reducing air temperature of building wall, especially in summer.
A Case of Nasopharyngeal Tuberculosis Which Was Difficult to Differentiate From Sarcoidosis
Authors: Jang Dong Hyuk , Kim Ho Chan , Hong Young Ok , Kim Ji Sun
Published: March 2022

Nasopharyngeal mass is a disease that can cause unilateral or bilateral nasal obstruction. Common diseases that can cause nasal obstruction include antrochoanal polyp, adenoid remnants, juvenile nasopharyngeal angiofibroma, and nasopharyngeal carcinoma. Nasopharyngeal tuberculosis and nasopharyngeal sarcoidosis are two rare diseases that involve the nasopharynx and manifest as nasopharyngeal mass, and they share common histopathologic findings of granulomatous inflammation. We report a case where a patient complaining of nasal obstruction was found with nasopharyngeal mass with smooth surface, which was difficult to differentiate nasopharyngeal tuberculosis from nasopharyngeal sarcoidosis due to similar clinical manifestations and histopathologic findings.
Two Cases of Cochlear Implantation in Patients With Unilateral Profound Hearing Loss Due to Intralabyrinthine Schwannoma
Authors: Ha Seung Cheol , Choi Ji Won , Chung Jong Woo
Published: March 2022

When vestibular schwannoma originates from the segment within the labyrinth of the vestibulocochlear nerve, it is termed intralabyrinthine schwannoma (ILS). As most of the cases are presented with profound sensorineural hearing loss on the affected side, for auditory rehabilitation, cochlear implantation can be considered simultaneously as the tumor removal. Successful results of cochlear implantation were reported in patients with ILS even after partial resection of the mass. In this study, we report the cases of two patients with ILS with unilateral deafness. In one patient, a mass found in the basal turn of cochlea was removed totally and a cochlear implantation electrode was fully inserted. In the other patient, a mass found in the basal turn and vestibule was partially removed and an electrode was inserted. Postoperatively, hearing was improved and tinnitus was reduced.
As grandes pandemias que assolaram o Brasil
Authors: Kleinschmitt Maria Helena , Martins Wesley
Published: March 2022

Realizar um levantamento da literatura nacional e internacional a respeito das principais epidemias e pandemias que ocorreram no Brasil e no mundo.  Para isto, utilizou-se como método um scoping review, a partir de uma abordagem qualitativa historiográfica, trazendo uma discussão organizada historicamente das principais pandemias que atingiram a humanidade.  Como resultado, elencou-se a convergência entre os campos da saúde pública, políticas públicas e a necessidade de criação de estruturas para a prevenção e combate às pandemias, sendo elas: A peste bubônica, cólera, varíola, gripe espanhola, H1N1, SARS e COVID-19. Conclui-se que os ciclos pandêmicos enfrentados pela humanidade interferem fortemente em diversas questões sociais, desacelerando o ritmo de vida das pessoas e de toda humanidade, gerando mudanças estruturais e políticas nos sistemas de saúde e econômicos.