bluuebunny/crossref_metadata_2025 huggingface dataset:
Hierarchical genetic optimization of convolutional neural models for diabetic retinopathy classification
Authors: Cordero-Martínez Rodrigo , Sánchez Daniela , Melin Patricia
Published: April 2022

Diabetic retinopathy (DR) is one of the worse conditions caused by diabetes mellitus (DM). DR can leave the patient completely blind because it may have no symptoms in its initial stages. Expert physicians have been developing technologies for early detection and classification of DR to prevent the increasing number of patients. Some authors have used convolutional neural networks for this purpose. Pre-processing methods for database are important to increase the accuracy detection of CNN, and the use for an optimization algorithm can further increase that accuracy. In this work, four pre-processing methods are presented to compare them and select the best one. Then the use of a hierarchical genetic algorithm (HGA) with the pre-processing method is done with the intention of increasing the classification accuracy of a new CNN model. Using the HGA increases the accuracies obtained by the pre-processing methods and outperforms the results obtained by other authors. In the binary study case (detection of DR) a 0.9781 in the highest accuracy was achieved, a 0.9650 in mean accuracy and 0.007665 in standard deviation. In the multi-class study case (classification of DR) a 0.7762 in the highest accuracy, 0.7596 in mean accuracy and 0.009948 in standard deviation.
Sparse non-negative matrix factorization for uncertain data clustering
Authors: Chen Danyang , Wang Xiangyu , Xu Xiu , Zhong Cheng , Xu Jinhui
Published: April 2022

We consider the problem of clustering a set of uncertain data, where each data consists of a point-set indicating its possible locations. The objective is to identify the representative for each uncertain data and group them into k clusters so as to minimize the total clustering cost. Different from other models, our model does not assume that there is a probability distribution for each uncertain data. Thus, all possible locations need to be considered to determine the representative. Existing methods for this problem are either impractical or have difficulty to handle large-scale datasets due to their pairwise-distance based global search strategy and expensive optimization computation. In this paper, we propose a novel sparse Non-negative Matrix Factorization (NMF) method which measures the similarity of uncertain data by their most commonly shared features. A divide-and-conquer approach is adopted to remarkably improve the efficiency. A novel diagonal l0-constraint and its l1 relaxation are proposed to overcome the challenge of determining the representatives. We give a detailed analysis to show the correctness of our method, and provide an effective initialization and peeling strategy to enhance the ability of processing large-scale datasets. Experimental results on some benchmark datasets confirm the effectiveness of our method.
ORBoost: An Orthogonal AdaBoost
Authors: Bostanian Zohreh , Boostani Reza , Sabeti Malihe , Mohammadi Mokhtar
Published: April 2022

Ensemble learners and deep neural networks are state-of-the-art schemes for classification applications. However, deep networks suffer from complex structure, need large amount of samples and also require plenty of time to be converged. In contrast, ensemble learners (especially AdaBoost) are fast to be trained, can work with small and large datasets and also benefit strong mathematical background. In this paper, we have developed a new orthogonal version of AdaBoost, termed as ORBoost, in order to desensitize its performance against noisy samples as well as exploiting low number of weak learners. In ORBoost, after reweighting the distribution of each learner, the Gram-Schmidt rule updates those weights to make a new samples’ distribution to be orthogonal to the former distributions. In contrast in AdaBoost, there is no orthogonality constraint even between two successive weak learners while there is a similarity between the distributions of samples in different learners. To assess the performance of ORBoost, 16 UCI-Repository datasets along with six big datasets are deployed. The performance of ORBoost is compared to the standard AdaBoost, LogitBoost and AveBoost-II over the selected datasets. The achieved results support the significant superiority of ORBoost to the counterparts in terms of accuracy, robustness, number of exploited weak learners and generalization on most of the datasets.
Modeling data with observers
Authors: Meghdouri Fares , Iglesias Vázquez Félix , Zseby Tanja
Published: April 2022

Compact data models have become relevant due to the massive, ever-increasing generation of data. We propose Observers-based Data Modeling (ODM), a lightweight algorithm to extract low density data models (aka coresets) that are suitable for both static and stream data analysis. ODM coresets keep data internal structures while alleviating computational costs of machine learning during evaluation phases accounting for a O(n log n) worst-case complexity. We compare ODM with previous proposals in classification, clustering, and outlier detection. Results show the preponderance of ODM for obtaining the best trade-off in accuracy, versatility, and speed.
Extended clustering algorithm based on cluster shape boundary
Authors: Li Peng , Xie Haibin , Shi Yifei , Xu Xin
Published: April 2022

Based on the shape characteristics of the sample distribution in the clustering problem, this paper proposes an extended clustering algorithm based on cluster shape boundary (ECBSB). The algorithm automatically determines the number of clusters and classification discrimination boundaries by finding the boundary closures of the clusters from a global perspective of the sample distribution. Since ECBSB is insensitive to local features of the sample distribution, it can accurately identify clusters on complex shape and uneven density distribution. ECBSB first detects the shape boundary points of the cluster in the sample set with edge noise points eliminated, and then generates boundary closures around the cluster based on the boundary points. Finally, the cluster labels of the boundary are propagated to the entire sample set by a nearest neighbor search. The proposed method is evaluated on multiple benchmark datasets. Exhaustive experimental results show that the proposed method achieves highly accurate and robust clustering results, and is superior to the classical clustering baselines on most of the test data.
Multi-class WHMBoost: An ensemble algorithm for multi-class imbalanced data
Authors: Zhao Jiakun , Jin Ju , Zhang Yibo , Zhang Ruifeng , Chen Si
Published: April 2022

The imbalanced data problem is widespread in the real world. In the process of training machine learning models, ignoring imbalanced data problems will cause the performance of the model to deteriorate. At present, researchers have proposed many methods to deal with the imbalanced data problems, but these methods mainly focus on the imbalanced data problems in two-class classification tasks. Learning from multi-class imbalanced data sets is still an open problem. In this paper, an ensemble method for classifying multi-class imbalanced data sets is put forward, called multi-class WHMBoost. It is an extension of WHMBoost that we proposed earlier. We do not use the algorithm used in WHMBoost to process the data, but use random balance based on average size so as to balance the data distribution. The weak classifiers we use in the boosting algorithm are support vector machine and decision tree classifier. In the process of training the model, they participate in training with given weights in order to complement each other’s advantages. On 18 multi-class imbalanced data sets, we compared the performance of multi-class WHMBoost with state of the art ensemble algorithms using MAUC, MG-mean and MMCC as evaluation criteria. The results demonstrate that it has obvious advantages compared with state of the art ensemble algorithms and can effectively deal with multi-class imbalanced data sets.
An integrated model based on feedforward neural network and Taylor expansion for indicator correlation elimination
Authors: Guo Wei , Qiu Han , Liu Zimian , Zhu Junhu , Wang Qingxian
Published: April 2022

Existing correlation processing strategies make up for the defect that most evaluation algorithms do not consider the independence between indicators. However, these solutions may change the indicator system’s internal connection, affecting the final evaluation result’s interpretability and accuracy. Besides, traditional independent analysis methods cannot accurately describe the complex multivariate correlation based on the linear relationship. Aimed at these problems, we propose an indicators correlation elimination algorithm based on the feedforward neural network and Taylor expansion (NNTE). Firstly, we propose a generalized n-power correlation and a feedforward neural network to express the relationship between indicators quantitatively. Secondly, the low-order Taylor expression expanded at every sample is pointed to eliminate nonlinear relationships. Finally, to control the expansions’ accuracy, the layer-by-layer stripping method is presented to reduce the dimensionality of the correlations among multiple indicators gradually. This procedure continues to iterate until there are all simple two-dimensional correlations, eliminating multiple variables’ correlations. To compare the elimination efficiency, the ranking accuracy is proposed to measure the distance of the resulting sequence to the benchmark sequence. Under Cleveland and KDD99 two datasets, the ranking accuracy of the NNTE method is 71.64% and 96.41%, respectively. Compared with other seven common elimination methods, our proposed method’s average increase is 13.67% and 25.13%, respectively.
Media users’ and professionals’ responses to personal data receipts: A mixed methods study
Authors: Buggenhout Natasja Van , den Broeck Wendy Van
Published: April 2022

European General Data Protection Regulation requires organisations to request the data subject’s consent for personal data processing. Data controllers must be able to demonstrate valid consent was obtained (‘transparency’). Media often struggle to meet GDPR requirements in practice. We identified several issues with existing consent procedures amongst which a need for trustworthy approaches to record and track consent. In this article, we evaluate a specific transparency initiative: a Personal Data Receipt (PDR) for news personalisation. We investigated how European media users and media professionals evaluated the PDR. We conducted qualitative surveys and interviews to explore and describe individuals’ viewpoints on/responses to the PDR. The main strengths highlighted in this study are: GDPR compliance and improved data processing transparency which leads to more control and user trust. PDR weaknesses are mainly related to users not reading the receipt, lack/overload of information, and design issues. Based on our findings, we identified missing elements and formulated recommendations for PDR improvement to optimise consent strategies. By examining how individuals responded to this specific transparency tool, and rhetorical tactics connected to it (placation, diversion, jargon, and misnaming), our study provides informed suggestions for ways out of digital resignation (Draper & Turow, 2019).
Responsible application of artificial intelligence to surveillance: What prospects?1
Authors: Clarke Roger
Published: April 2022

Artificial Intelligence (AI) is one of the most significant of the information and communications technologies being applied to surveillance. AI’s proponents argue that its promise is great, and that successes have been achieved, whereas its detractors draw attention to the many threats embodied in it, some of which are much more problematic than those arising from earlier data analytical tools. This article considers the full gamut of regulatory mechanisms. The scope extends from natural and infrastructural regulatory mechanisms, via self-regulation, including the recently-popular field of ‘ethical principles’, to co-regulatory and formal approaches. An evaluation is provided of the adequacy or otherwise of the world’s first proposal for formal regulation of AI practices and systems, by the European Commission. To lay the groundwork for the analysis, an overview is provided of the nature of AI. The conclusion reached is that, despite the threats inherent in the deployment of AI, the current safeguards are seriously inadequate, and the prospects for near-future improvement are far from good. To avoid undue harm from AI applications to surveillance, it is necessary to rapidly enhance existing, already-inadequate safeguards and establish additional protections.
An example of pricing in competitive supply chain using association rule mining algorithm based on interval concept lattice
Authors: Li Mingxia , Chen Kebing , Liu Baoxiang
Published: April 2022

The substitutability between products or the intensity of market competition is the key parameter affecting the supplier’s pricing decision. However, the parameter cannot be accurately measured in real life. This paper provides a method based on prior information to solve this issue. First, compared to classical concept lattice theory, the interval concept lattice theory can deal with uncertain information more accurately. It is used to extract the objects within the interval parameters [α, β], and then interval concepts and lattice structure are built. Second, based on the interval concepts and lattice structure, the association rule mining algorithm is designed to further extract the association rules under different interval parameters. Third, to obtain the effective association degree between two objects, the rule optimization algorithm is put forward by comparing the update of rules. Finally, the association degree can indirectly reflect the substitutability between products. Then the price of a new product can be determined. Our paper provides some implication on pricing for suppliers in competitive supply chain.
Modified fuzzy C-means and K-means clustering based spectrum sensing using cooperative spectrum for cognitive radio networks applications
Authors: Parimala V. , Devarajan K.
Published: April 2022

The recent decade has seen a rapid evolution of communication technologies and standards with the ultimate goal of providing global users with seamless connectivity a data access. Conventional methods of communication have been completely replaced by state-of-the-art hand-held gadgets and portable devices that enable users to communicate at high transmission rates. However, as high-end devices and gadgets become more popular and their demand for operating frequency which is essentially the Radio Frequency (RF) band in the EM (Electro Magnetic) spectrum tends to force the limits to the higher end of the RF spectrum. Due to the limitation of RF band availability, a spectrum is constructed for the requesting user for promising solution, and a difficult task. The emerging cognitive radio networks are a set of intelligent tools and scheme of identify the vacant spots in the band through effective sensing and allocating the spectrum to the requesting users. A modified cluster-based model has been proposed as part of extensive research on spectrum sensing. In the proposed work, a two-phase clustering model in the form of modified Fuzzy C-Means (FCM), and K-Means clustering is used, in which FCM is used as a training module on the channel features. K-Means is effectively used as an unsupervised classifier model. The proposed classification model was tested in a densely populated cognitive radio network compared to standard methods such as SVM (Support Vector Machine), FCM, and K-Means. Superior performance in terms of quality metrics like 90% classification accuracy, 91% spectral utility 90% are notable findings of this research work.
RETRACTED: Multi-criteria large group model based on consensus measure and subgroup leader mechanism for smart cities evaluation with hesitant information
Authors: Wu Yan , Wang Ling-ying , Fang Yiling
Published: April 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Characterizing community behavior in OSNs: Modeling and forecasting activity on Facebook using the SARIMA model
Authors: Idrais Jaafar , El Abassi Rida , El Moudene Yassine , Sabour Abderrahim
Published: April 2022

Online social networks (OSNs) occupy an important part in users’ daily life as they maintain the flow of interaction and information exchange on all local, national, and global scales.This work develops a time series model of interactions on Facebook using the SARIMA (seasonal autoregressive integrated moving average) time series modeling technique based on empiricism with the theoretical model of regular user behavior. A case study of the Moroccan community, which has a high rate of interactions, is carried out to test the conformity of the model with the measurements. The results show that the SARIMA model is better suited to modeling the flow of interactions. The application of the SNR method on the signal energies has allowed to measure the usage damping in the users. The multitude of applied approaches have allowed to extract some main characteristics of this large and complex network.
Polygamy in Islam: Cultural Pressures and Religious Justifications in Pakistan
Authors: Farooq-e-Azam  , Iram Rubab  , Salahuddin Ambreen , Ahmed Usman
Published: April 2022

Polygamy is socially accepted and religiously allowed in most parts of the world. Polygamy is practiced by males, particularly for various justifiable reasons. The current study aims to analyze the interplay of culture and religion to describe the existing practice of polygamy in Punjab, Pakistan. It is further interested in analyzing the male perspective regarding the practice of polygamy. The study is theoretically grounded in the patriarchal theory and Agarwal’s concept of bargaining in gender relations. In Pakistan, like many other Muslim countries, religion is the major support taken by men for practicing polygamy along with other cultural justifications. Wife’s infertility or inability to produce the male offspring and forced marriage practices are amongst the major justifications of polygamy found in the current study. During this phenomenological research, the researchers included the male perspective only by targeting 5 polygamous marital unions from the various parts of the Punjab province. The findings include forced marriages, cousin marriages, age difference in first marriage, first wife’s infertility and inability to produce the male offspring, and the absence of male successor in case of landowning families as major causes for males being polygamous. The study also found males from different socioeconomic backgrounds living in polygamous marital unions. This study suggests that the patriarchal interpretation of religion and culture needs to be defined and the prevalent justification of polygamous marriages needs to be revisited. Similarly, the true Islamic intent for marrying multiple women and of equality and justice amongst wives needs to be explored through scholarly research.
Understanding the Argument of Atheists in Pakistan (An Analytical Survey of University Students)
Authors: Faysal Muhammad Adnan , Dr Rashidah binti Mamat  , Dr Shukri  Ahmad
Published: April 2022

This research paper is an attempt to examine Atheist’s arguments in the context of Pakistan. Atheism is a growing phenomenon across the world; however, the factors which led the atheists to adopt atheism as their identity vary from context to context. Consequently, the goal of this research paper is to explore major factors which led the Muslim youth towards atheism in Pakistani context. This research is important, firstly to understand the arguments normally given to alienate the youth form their religion, and secondly to initiate a way forward to counter the arguments so the people of Pakistan remained intact to their inherited religion—Islam. This study focuses on answering two basic questions. How does one become atheist? What are the factors which lead towards atheism? Semi-structured qualitative interviews are used as a method of this study and 19 self-identified atheists from different universities have been interviewed on the bases of comprehensive open-ended questionnaire ranging from their diverse educational, institutional and their peer groups. A non-probability snow-ball sampling technique is used to find participants for interviews. Each interview is recorded and later coded and analysed the data in search of understanding the argument in the participants’ responses. This research concludes that there are both similarities and differences across countries in the way atheists conceptualize atheistic ideology and their evaluation of the arguments on atheism. The results also suggest that the debate of atheism is highly contextual and adaptation of research methodologies from country to country should be done.
Portrayal of women issues by Pakistani and Indian English elite newspapers
Authors: Nawaz Muhammad ahmad , Sumaira Malik
Published: April 2022

This research investigates the portrayal of women issues by Daily The News International and Daily Times of India during January 2019 to December 2020. It is basically a comparative study of portrayal of women by Pakistani and Indian English elite newspapers.  It is a census study conducted by caring out content analysis of 17 editorials of Daily The News International and 25 editorials of Daily Times of India. All editorial sentences are divided into 19 categories according to the nature of data. The researcher used two communication theories (framing and feminism) and concluded that media frame women issues factual based in news and negative in editorials. The study finds out that both newspapers given 21.05% positive, 56.62% negative & 22.32% neutral editorial coverage, so overall coverage remained positive. The researcher finds out that both newspapers (Daily The News International & Daily Times of India) highlight variety of women issues like; murder, honor killing, suicide, kidnapping, torture, sexual harassment, rape, molestation, domestic violence, battering, marriage issues, acid attack, misbehave, fire burning, hurts, lack of political participation, domestic abuse and eloping. The researcher also has given some suggestions for the solution of these kinds of issue.

Key Words: Women portrayal, elite press, Indian press, women issue
A Critical Discourse Analysis of Representation of Women in Selected South Asian Songs
Authors: Qazalbash Farwa
Published: April 2022

This paper analyzed how women are represented through derogatory use of language in the lyrics of the songs by men. This research is qualitative in its nature, different approaches of Critical Discourse Analysis as research tools, have been used to analyze the data. For a comprehensive analysis triangulated approach by Van Dijk (2006), Referential strategies by Reisigl and Wodak (2009), and schema of discursive reproduction of power by Dijk (2015) along with seven building tasks of language by (Gee, 2010) are used. The findings reveal that women are being portrayed as rapacious creature, as they tend to knee on just wealth and wealthiest, materialists, disloyal and liars, valueless as compared to men and as an object for sexual comfort for men, through different Punjabi songs. This study was focused only on the negative representation of women through Punjabi songs in South Asian countries, it can be analyzed how such representation of women in songs is affecting the thoughts of young generation. 

Key words: Punjabi songs, Lyrics, CDA, Gender stereotypes, Women’s representation
Open access week 2021 at the University of Eastern Finland Library
Authors: Ovaska Tuulevi
Published: April 2022

International Open Access Week is a global event that many institutions and organisations take part in annually. Often the libraries of academic institutions are eager to participate. The level of participation can vary from simply sharing knowledge about the week to, for example, organising events. In 2021, the University of Eastern Finland library decided to put more effort to the week than before, since it has a role as an active promoter of open science.

Medical Subject Headings: Anniversaries and Special Events; Awards and Prizes; Blogging; Libraries; Open Access Publishing
Aproximación a la eficacia de la música en la publicidad: audio branding y recuerdo de marca
Authors: Jiménez-Marín Gloria , Bellido-Pérez Elena , Ruda Ferrete Cristina
Published: April 2022

A la hora de elegir la música para los anuncios de televisión, los profesionales publicitarios se ven condicionados por una serie de factores como los objetivos de la campaña publicitaria: recuerdo, reconocimiento, notoriedad, ventas… Este artículo realiza un estudio de la música usada en publicidad y sus efectos, buscando identificar las cualidades de los temas musicales publicitarios que influyen en la audiencia y conocer la tipología de música más eficaz para conseguir los objetivos de campaña. Para ello se utilizó una metodología cuantitativa consistente en la combinación de preguntas y audios relacionando dichas cuestiones, dirigidos a un público de entre 18 y 60 años. En el artículo se analizan un total de 12 anuncios. Los resultados del estudio confirman que el uso de música preexistente favorece el recuerdo del anuncio por encima del uso de jingles.
Posverdad, medios de comunicación y poder. Un problema para las humanidades
Authors: Navarro Alberto
Published: April 2022

El artículo explora el concepto de posverdad, su definición y relación con los medios de comunicación y las redes sociales como categoría discursiva y cognitiva, así como el impacto y su traducción en los ámbitos epistemológico, comunicacional y ético-político; y, las consecuencias que tiene para la democracia y la ciudadanía. Se analiza la relación de la posverdad con las emociones, la posmodernidad y el relativismo, en oposición al pensamiento crítico y lógico-racional, facilitados por la economía neoliberal desarticuladora de la ciudadanía y la necesidad ético-política de recuperación de la verdad para el sano funcionamiento del tejido social y la democracia.
Del teatro al cine: análisis de la creación de los personajes de la obra Tío Vanía y su traslación al cine en Vania en la calle 42
Authors: Caffarel Rodríguez Bárbara , Zaharía Ana María
Published: April 2022

Vania en la calle 42 (Malle, 1994) es la adaptación de la obra de Tío Vania (1899) de Antón Chéjov representada como si se tratara de un ensayo teatral. Su arranque en forma de documental en seguida se transforma en ficción, lo que nos permitirá determinar nuestro objetivo que es analizar el método con el que trabajan los actores, buscando analogías y características propias del sistema Stanislavski, pero enmarca-das en el medio cinematográfico. Para alcanzar nuestro propósito estudiaremos la narrativa seguida por Malle para crear esta adaptación de la obra de Chéjov, así como la construcción de personajes bajo el sistema Stanislavski. La investigación se realizará a partir del uso de la película como fuente principal, seguido por fuentes bibliográficas elaboradas por Stanislavski, así como otros documentos científicos. A través del análisis realizado se puede constatar el trabajo de los intérpretes siguiendo el sistema Stanislavski y su adaptación al trabajo ante la cámara.
Synthesis of Algorithms and Procedures for Real-Time Internal Calibration of Receiving Channels in Digital Phased Antenna Arrays
Authors: Tran V. H. , Hoang M. Th. , Nguyen V. B. , Phung B. N.
Published: April 2022

Introduction. Real-time calibration is essential for maintaining the performance of modern digital phased antenna array (DPAA) systems. Previous papers have proposed a method of real-time internal calibration for all receiving channels. This method uses a calibration signal (CalSig) of the same frequency spectrum as the received signal, modulated in phase and amplitude by the binary phase-shift keying (BPSK) and on–off keying (OOK) codes, respectively. With the purpose of improving the method, we propose an algorithm for estimating the phase and amplitude parameters of each receiving channel on the basis of continuous phase correlation accumulation of CalSig samples.Aim. Synthesis of algorithms and procedures for real-time internal calibration of receiving channels in digital phased antenna arrays.Materials and methods. Calibration algorithms and calibration procedure were analyzed and synthesized using the methods of systems analysis. In addition, the methods of systems engineering and technology, digital processing of radar signals and synthesis of building test models close to actual requirements were applied.Results. The advantage of the proposed calibration algorithm and calibration procedure consists in using CalSig modulated by the BPSK and OOK codes. The results obtained on a small DPAA system with four receiving channels gave the error of phase and amplitude lower than 0.3° and 0.05 dB, and the error of main beam direction lower than 0.2°. The results of testing the developed DPAA model confirmed the simplicity and high calibration accuracy of the approach under study.Conclusion. The proposed calibration algorithm and calibration procedure have the advantage over those proposed in previous research in terms of simplicity and resource efficiency. This fact determines the prospects for using the obtained results.
Rezultati arheoloških radova uz poligonalnu kulu u Carrarinoj ulici u Puli 2021. godine
Authors: Gergeta Sotončić Kristina
Published: April 2022

U veljači 2021. arheološki je istražen prostor u polovici širine poligonalne kule uz ulaz u tunel Zerostrasse i ulazni dio tunela u Carrarinoj ulici u Puli. Povod tomu bila je zamjena kabelskoga voda za dizalo koje će povezivati mrežu podzemnih tunela i utvrdu Kaštel. Istraživanjem je utvrđena fazna izgrađenost kule: kasnoantička kula poligonalnoga oblika, čija je struktura vidljiva u današnjoj hodnoj razini, nalegla je na antičku kulu kružnoga oblika, koja je temeljena na četvrtastoj kuli iz najranije faze formiranja pulskoga gradskog obrambenog sustava. Na samom ulazu u tunel otkriveni su ostaci kasnoantičkoga bedema. Istraživanjem je utvrđen način spoja kasnoantičkoga bedema na poligonalnu kulu: preslojavanjem četvrtaste kule i sloja popločenja te oslanjanjem na okruglu kulu koja je pridodana potezu najranijega gradskog bedema.
Preteče i uzori Franciskanskoga katastra Istre
Authors: Altić Mirela
Published: April 2022

Zemljišne evidencije na području Istre imaju vrlo dugu tradiciju, a najstarije međunjima sežu u 15. stoljeće. Iako u vrijeme mletačke uprave, osobito tijekom 18. stoljeća, nastaje sve veći broj katastika pojedinačnih posjeda javne, crkvene i privatne naravi, mletačke vlasti nikada nisu provele sustavnu zemljišnu izmjeru Istre niti su sastavile cjelovit katastar zemljišta. To će se dogoditi tek uspostavom austrijske vlasti početkom 19. stoljeća. Prva sustavna katastarska izmjera Austrijskoga Carstva, koja je započela Naredbom o uvođenju stabilnoga katastra 23. prosinca 1817., u sklopu koje je 1817. – 1820. i Istra dobila svoj prvi potpuni katastar, označava važnu prekretnicu u povijesti zemljišnih evidencija na području čitave središnje Europe. Uspješnost projekta provođenja sustavne katastarske izmjere te formiranja Franciskanskoga katastra za sve zemlje Austrijskoga Carstva temeljila se na stoljeće dugom iskustvu zemljišnih izmjera i formiranja zemljišnih evidencija koje su austrijske vlasti provodile u pojedinim zemljama pod svojom vlašću. U radu su razmatrani preteče i uzori Franciskanskoga katastra Istre s težištem na njegovu metodološkom ishodištu u milanskom Censimentu te principima izmjere i kartiranja koje je uspostavio Johann Jakob Marinoni. Analiziran je i utjecaj Terezijanskoga (1747. – 1756.), Jozefinskoga (1785. – 1790.) i Bavarskoga katastra (1808. – 1867.), koji su također imali odjeke ne samo na razvoj i formiranje Franciskanskoga katastra već i na sam sustav modernizacije države i njezina poreznoga sustava.
Stanovništvo župe Svetvinčenat 1909. – 1918.: mirnodopsko vs. ratno vrijeme
Authors: Kliman Grabar Gordana
Published: April 2022

Ovaj rad bavi se istraživanjem prirodnoga kretanja stanovništva i utjecaja modernizacijskih procesa na socijalnodemografske odrednice stanovništva župe Svetvinčenat od 1909. do 1918. godine. Glavni dio rada, podijeljen na tri glavna sadržajna dijela, predstavljaju podaci dobiveni analizom podataka matičnih knjiga krštenih, vjenčanih i umrlih.
U razmatranom desetljeću analiziraju se usporedni podaci mirnodopskoga razdoblja (1909. – 1913.) i razdoblja Prvoga svjetskog rata (1914. – 1918.), tijekom kojega su, uz novačenje i rekviziciju uroda i stoke, župljani Svetvinčenta u svibnju 1915. obuhvaćeni i naredbom o evakuaciji
stanovništva. Uz to, Istru je, a time i župu Svetvinčenat, 1917. pogodila jedna od najtežih suša 20. stoljeća. U radu se – uz analiziranje utjecaja i dinamike promjena u prirodnom kretanju stanovništva pod utjecajem nepovoljnih, izvanrednih okolnosti – analiziraju i osobitosti na razini mikrolokacija (naselja) župe. Istraživanje se temelji na matičnim knjigama krštenih, vjenčanih i umrlih, knjizi Status animarum iz 1910. župe Svetvinčenat te periodičnoj
publikaciji austro-ugarskoga Ministarstva rata Popis gubitaka (Verlustliste).
Philosophical Poetry in Metal Music (with Focus on Bands From Central Slovakia)
Authors: Baďurová Barbora
Published: April 2022

Metal music is a quite popular subculture in Slovakia. Although
heavy metal music simply noise for some, it is not so shallow and there are
deeper meanings. There have been many metal bands that have addressed
social concerns, as well as ethical and philosophical questions. Metal music
uses various metaphors and other tropes to express philosophical ideas;
not only in lyrics, but also in its use of melody. The focus here will be on
several influential contemporary metal bands from Central Slovakia, and
the philosophical and ethical aspects of their metal poetry.
Romantismo, saudade, sentimento da raza e da terra en Pastor Díaz, Rosalía Castro e Pondal
Authors: Otero Pedrayo Ramón , Risco Vicente
Published: April 2022

Discurso lido no acto da súa recepción polo ilustrísimo señor don Ramón Otero Pedrayo e resposta do excelentísimo señor don Vicente Risco. O solemne acto académico no que foron lidos os dous discursos recolleitos no presente volume celebrouse o día 9 de decembro de 1929 no Salón de actos da Reunión de Artesáns da Coruña.
Queixumes dos pinos y poesías inéditas de Eduardo Pondal
Authors: Pondal Eduardo
Published: April 2022

2ª edición da obra de Eduardo Pondal preparada pola Real Academia Galega co gallo do centenario do seu nacemento. Incorpora un apartado titulado “Poesías inéditas”, que reúne trinta e sete poemas pertencentes ao legado que o poeta deixou na Academia. Abre o volume o bosquexo biográfico que Murguía recolleu na súa obra Los precursores e como ramo inclúe un traballo de Manuel Lugrís.
A crisis da universidade europea
Authors: Vidal Abascal Enrique , Otero Pedrayo Ramón
Published: April 2022

Discurso lido no acto da súa recepción polo ilustrísimo señor don Enrique Vidal Abascal e resposta do excelentísimo señor don Ramón Otero Pedrayo. O solemne acto académico no que foron lidos os dous discursos recolleitos no presente volume celebrouse o día 27 de marzo de 1971 no Salón de actos da Reunión de Artesáns da Coruña.
Algunos temas gallegos (v.II)
Authors: Martínez Salazar Andrés
Published: April 2022

O presente volume, segundo da colectánea de traballos de don Andrés Martínez Salazar referentes a Galicia, intitulada Algunos temas gallegos, cumpre a promesa feita pola Real Academia Galega ao final do volume primeiro da mesma obra, editado para conmemorar o centenario do nacemento do seu ilustre autor, de recoller posteriormente noutro os restantes traballos publicados en revistas científicas e na prensa periódica. Esta segunda colectánea aparece en conmemoración do cincuentenario do falecemento do autor.
ФІЗИЧНЕ ВИХОВАННЯ У ЗБЕРЕЖЕННІ ЗДОРОВ’Я ФАХІВЦІВ ВОДНОГО ТРАНСПОРТУ
Authors: Годлевський П. М. , Спринь О. Б.
Published: April 2022

Мета – визначити вплив фізичного навантаження на функціональний стан абітурієнтів протягомсеместру. Матеріал і методи. У дослідженні були задіяні 116 майбутніх фахівців водного транспор-ту. КГ – 58 здобувачів вищої освіти факультету «Судноводії» I курсу (навчались за звичайною про-грамою фізичного виховання); ЕГ – 58 здобувачів вищої освіти I курсу ХДМА факультету «Судноваенергетика» – 6 годин (4 год факультатив) на тиждень за спеціально розробленою методикою (доякої були включені вправи атлетичної гімнастики, настільний теніс, спортивний бадмінтон, теоре-тичний матеріал про вплив фізичної активності). Використовувалися такі методи дослідження, як:аналіз літературних джерел, визначення функціонально-резервних можливостей серцево-судинноїсистеми (проба Руф’є), математичний аналіз. Результати. Здоров’я можна розглядати з позиції здат-ності організму адаптуватися до умов навколишнього середовища. Процес адаптації спрямованийна збереження гомеостазу (стійкості). Разом із тим адаптація в життєдіяльності фахівця водноготранспорту, на відміну від простого пристосування, розуміється як його активна взаємодія із профе-сійними чинниками та соціальним середовищем екіпажу з метою досягнення оптимальних рівніввзаємодії за принципом гомеостазу. У ході дослідження використано визначення функціонально-резервних можливостей серцево-судинної системи (проба Руф’є). Дані переконливо свідчать прозростання рівня фізичної працездатності в ЕГ: 10 % – добрий рівень (на початку експерименту – 0);67,6 % – задовільний рівень (60 %); поганий – 20 %, залишився без змін; 2,4 – незадовільний рівень(20 %). Незначне зростання показників рівня фізичної працездатності в КГ: добре – із 7,1 % зріс до8 %; задовільно – із 42,9 % до 43 %; погано – із 42,9 % до 43,8 %; незадовільно – із 7,1 % зменшивсядо 5,2 %. Власне, проба Руф’є дає можливість оцінити не тільки фізичну працездатність, стан тре-нованості організму та функціональний резерв серця, але й надає важливу інформацію про перебігпристосувальних процесів у разі адаптації до фізичного навантаження.Висновки. Під час проведення дослідження виявлено позитивний вплив рухової активності наздоров’я ЗВО. Рівень фізичної працездатності в ЕГ зріс: 10 % – добрий рівень (на початку експери-менту – 0); 67,6 % – задовільний рівень (60 %); поганий – 20 %, залишився без змін; 2,4 – незадо-вільний рівень (20 %). Незначне зростання показників рівня фізичної працездатності в КГ: добре –із 7,1 % зріс до 8 %; задовільно – із 42,9 % до 43 %; погано – із 42,9 % до 43,8 %; незадовільно – із7,1 % зменшився до 5,2 %. Таким чином, можна констатувати, що рухова активність має вирішальнезначення, формуючи життєву компетентність студентської молоді у контексті теорії життєдіяльнос-ті. Обмеження спеціально організованої рухової активності є одним із провідних чинників знижен-ня фізичної підготовленості студентської молоді та резервів її здоров’я.
THE IMPACT OF NUTRITION OF PRIMARY SCHOOL CHILDREN ON THE DEVELOPMENT OF PHYSICAL QUALITIES
Authors: Babak S. V. , Yakubchik M. I.
Published: April 2022

Primary school plays an extremely important role in laying the foundations for the developmentof a holistic personality. Motor activity is a necessary condition for maintaining the normal functioningof the human body. School physical education has a significant impact on a person’s biological develop-ment, as well as on one’s healthy lifestyle.Early school age is an important period in the development of basic body functions, as well as physicalqualities that not only reflect the level of physical fitness of students, but also contribute to the adaptiveproperties of the body. Education of physical qualities contributes to the formation of physical and mentalcapacity, fuller realization of the potential of students. Physical development of primary school children isextremely important in the development of physical body and mental abilities. Compliance with the rel-evant standards is evidence of the normal development of motor activity of the student. Few people havestudied the dependence of a child’s physical activity and compliance with standards of one’s diet.Research was conducted on physical fitness of children 7–9 years old, namely: in physical educa-tion classes determined compliance with standards of exercise (according to the curriculum for secondaryschools) that reflect such physical qualities as speed, agility, strength, flexibility and endurance. The datawere then compared with each child’s exercise and diet.According to our research, it can be affirmed that children who eat properly are able to comply withphysical standards of physical fitness. Children who eat irrationally cannot meet the standards sufficiently.That is, nutrition affects physical fitness, which is an important basis for a child’s health.
Factores que impactan la competitividad de las pymes
Authors: Aguilera Enríquez Luis , González Adame Martha , Rodríguez Camacho Rodrigo
Published: April 2022

A pesar de la reducida dimensión territorial y de población del estado de Aguascalientes, los indicadores de competitividad y la posición a nivel nacional lo ubican como uno de los principales actores en el desarrollo de actividades productivas en el país. Se analizan los factores que inciden en las pymes con base en el modelo de competitividad (Aguilera, 2008). Se aplicó encuesta a 105 pymes de sectores estratégicos sobre aspectos de tecnología, financieros y de crecimiento, factor humano, costos, procesos productivos, innovación y sistemas de información, así como de mercadotecnia. Los resultados indican que las tecnologías de información no tienen un peso específico estadísticamente diferente para pequeñas y medianas empresas, mientras que se favorece más el comportamiento innovador en las pequeñas empresas. Independientemente del tamaño de la empresa, la experiencia gerencial tiene mayor importancia que la preparación gerencial, el factor de calidad es más apreciado en las empresas medianas que en las pequeñas
Evaluación de la gestión del conocimiento a nivel operacional en las pequeñas y medianas empresas (pymes)
Authors: Ochoa Ruiz Josefina , Verdugo Tapial Ma. Leticia , Parada Ruiz Elva Leticia
Published: April 2022

La presente investigación es un estudio exploratorio con el objetivo de valorar la gestión del conocimiento a nivel operacional entre las pequeñas y medianas empresas (pymes). Con base en investigaciones previas y tomando en cuenta las características propias de las pymes de Hermosillo, Sonora, México, se elaboró un instrumento para evaluar la gestión del conocimiento nivel operativo en las fases de adquisición, de distribución y almacenamiento, y de utilización, el cual se aplicó de modo aleatorio en las pymes del escenario de estudio, y se encontró que aunque algunas están trabajando fuertemente en este tema, la mayoría de las empresas apenas están incursionando en la gestión del conocimiento. También se encontró que los administradores de las pymes consideran que los aspectos de mayor interés para la utilización de la gestión del conocimiento son sus clientes, seguidos de la innovación de productos y servicios y la toma de decisiones.
Predicción del precio de acciones en la Bolsa Mexicana de Valores utilizando la “Simulación Monte Carlo"
Authors: Vera Castillo José Luis , Rosado Muñoz Yolanda Leonor
Published: April 2022

Esta investigación combina las bondades de la “Simulación Monte Carlo” en el análisis de riesgos, con la incertidumbre prevaleciente en el mercado accionario, obteniendo como resultado un modelo que si bien está en una etapa muy temprana de su desarrollo, promete ser de utilidad para inversionistas reales y potenciales en la toma de decisiones de compra y venta de acciones en el contexto actual de la BMV, considerando en tal tarea aquellas variables económicas, corporativas y de mercado de mayor infl uencia en el precio de las acciones. La investigación describe en detalle el proceso de concepción y diseño de este complejo modelo, explicando cada etapa importante en su creación, como la selección bibliográfi ca de las variables, el análisis cualitativo que llevó a escoger a Consorcio Ara para efectuar la predicción, el análisis de los resultados y la semejanza de éstos con el comportamiento real del precio de las acciones.
Estudio de la satisfacción del usuario de hoteles cinco estrellas de la ZMG: una aplicación del instrumento Servqual
Authors: Sánchez Rojas Leonardo Daniel , Sánchez Gutiérrez José , Hernández Cotón Silvio Genaro
Published: April 2022

Actualmente las empresas de hospedaje están enfocando sus esfuerzos mercadológicos hacia la satisfacción del consumidor con el fi n de formar consumidores leales. En esta investigación se evalúan las expectativas de los consumidores versus las percepciones generadas por hoteles cinco estrellas localizados en la zona metropolitana de la ciudad de Guadalajara, para determinar la calidad del servicio, tomado como medida para llegar a la satisfacción de los consumidores. Para ello utilizamos una versión modificada del modelo Servqual para lograr una mayor efectividad en su aplicación. El estudio contiene una muestra inicial de 105 usuarios ubicados en dos hoteles, los cuales fueron examinados a través de un análisis estadístico multivariante. Se concluyó que los usuarios evalúan la calidad del servicio positivamente; a pesar de que existen diferencias entre la percepción de los usuarios en ambos hoteles, al fi nal la calidad del servicio en ambos resulta ser muy similar.
El papel de la energía renovable en la competitividad un bosquejo de México
Authors: Laurent Martínez Laura Leticia , Loza López Jorge , Abaid Abraham Elena
Published: April 2022

La relación entre la energía y el desarrollo parece incuestionable. Entre más energía y más requerimientos tecnológicos haya que poner en juego para producirla, más avanzados se consideran los países. Sin embargo, los criterios están cambiando aceleradamente, aunque sin las repercusiones esperadas por los defensores de la competitividad.En este artículo se presenta un panorama global del bienestar de los seres vivos mediante la sustitución de las energías provenientes de los fósiles y de la fisión nuclear por energía renovable (er). Se prosigue con una serie de argumentaciones sobre el papel que desempeñan las energías renovables en la competitividad sustentable en relación con la competitividad efímera. Finalizamos con una breve descripción de la posición de México en el renglón de la er, la cual ofrece un marco para una reflexión crítica de las restricciones de la sustentabilidad en México
Cultura emprendedora en las pymes
Authors: Bojórquez Gutiérrez Fernando , Bojórquez Gutiérrez Alberto
Published: April 2022

El propósito de este trabajo es identificar la cultura corporativa imperante en las pymes localizadas en Sinaloa y particularmente determinar el nivel de cultura emprendedora. La gerencia de la pymes no es capaz de identificar con precisión la modalidad de cultura organizacional imperante en su empresa, ni el nivel de cultura emprendedora en la misma. Esta situación contribuye a no seleccionar la estrategia competitiva adecuada, lo que resulta en no maximizar los resultados o alcanzar logros potenciales. Por otra parte, se busca conocer la relación estadística significativa entre el estilo directivo observable, el nivel de cultura emprendedora y la estrategia competitiva de las empresas. Por el lado del ámbito académico, se observa una imprecisión y desconocimiento de factores o variables para explicar la cultura corporativa y sus modalidades, así como los elementos de la cultura emprendedora