bluuebunny/crossref_metadata_2025 huggingface dataset:
Adeno-Associated Virus-Mediated Immunotherapy Based on Bispecific Tandem scFv for Alzheimer’s Disease
Authors: Qian Lin , Bian Wenjuan , Wang Diqi , Ming Zhuoqun , Zhang Yu , Zhang Linbo , Fu Lu
Published: April 2023

Background:

Patients with Alzheimer’s disease (AD) have considerably increased globally as a result of population aging, placing a significant burden on the global economy and the medical system. The outcome of clinical trials for AD immunotherapy that solely targeted amyloid-β (Aβ) or phosphorylated tau protein (p-Tau) was unsatisfactory. Therefore, blocking both Aβ and p-Tau’s pathological processes simultaneously while also preventing their interaction may be the key to developing an effective AD therapy.

Objective:

To develop a novel immunotherapy based on bispecific tandem scFv (TaFv) against AD.

Methods:

Bispecific single-chain antibody that targets both Aβ and p-Tau were obtained using E. coli expression system. Biological ability of TaFvs were determined by ELISA, SDS-PAGE, and immunohistochemical assay. Recombinant adeno-associated virus 9 (rAAV9) were packaged to create TaFv. The in vivo activity of rAAV9 were detected in mouse, using biophotonic imaging and frozen section methods.

Results:

The outcomes demonstrated that both Aβ and p-Tau had a high affinity for the bispecific TaFv. Additionally, it can bind to the amyloid plaques and neuronal tangles in the brain slices of an AD mouse model. Moreover, the rAAV9 could infect neuronal cells, transverse the blood-brain barrier, and express TaFv in the mouse brain.

Conclusion:

This novel immunotherapy offers a fresh concept for the immunotherapy of AD and successfully delivers the double target antibody into the brain, acting on both pathogenic substances Aβ and p-Tau.
Association Between Serum Cystatin C and Cognitive Decline Independently from Creatinine: Evidence from Two Nationally Representative Aging Cohorts
Authors: Ma Yanjun , Li Chenglong , Hua Rong , Yang Chao , Xie Wuxiang , Zhang Luxia
Published: April 2023

Background:

Studies on the association between cystatin C based estimated glomerular filtration rate (eGFRcys) and cognitive outcomes yielded inconsistent results.

Objective:

The present study aimed to examine the potential association of eGFRcys with subsequent cognitive decline rate.

Methods:

A total of 11,503 community-based participants were involved in our analyses, including 5,837 (aged 72.9±6.3; 58.6% women) in the Health and Retirement Study (HRS) from the US and 5,666 (aged 58.1±9.2; 49.0% women) in the China Health and Retirement Longitudinal Study (CHARLS). The association of eGFRcys with subsequent cognitive decline rate was evaluated by linear mixed models.

Results:

During 85,266 person-years of follow-up, both baseline elevated serum cystatin C (–0.048 standard deviation [SD]/year per mg/L; 95% confidence interval [CI], –0.060 to –0.036; p < 0.001) and decreased eGFRcys (0.026 SD/year per 30 mL/min/1.73m2; 95% CI, 0.020 to 0.032; p < 0.001) were associated with faster cognitive decline rate after full adjustment. Compared with those had eGFRcys ≥90 mL/min/1.73m2, participants with eGFRcys between 60 to 90 mL/min/1.73m2 (–0.012 SD/year; 95% CI, –0.020 to –0.004; p = 0.004) and those with eGFRcys <60 mL/min/1.73m2 (–0.048 SD/year; 95% CI, –0.058 to –0.039; p < 0.001) experienced statistically significantly faster cognitive decline after adjustment. The associations were independent from serum creatinine/eGFRcre (eGFR that was calculated from serum creatinine).

Conclusion:

Decreased eGFRcys are significantly associated with faster cognitive decline after full adjustment, independently from serum creatinine/eGFRcre. Serum cystatin C might be a risk factor or a prodromal biomarker of cognitive decline.
Supporting Huntington’s Disease Families Through the Ups and Downs of Clinical Trials
Authors: Andrew Kelly M. , Fox Leora M.
Published: April 2023

Recent years have been turbulent ones for the Huntington’s disease (HD) community. Three clinical trials for HD, including the first Phase 3 trial of a potentially disease modifying genetic therapy for HD, were all brought to a halt in March of 2021. 2022 brought more study roadblocks and an additional trial termination. As HD science progresses and larger scale trials become more frequent in the community, HD families are faced with the difficult reality that clinical research rarely results in a new drug hitting the market. To better understand how the HD community can be prepared for the ups and downs that accompany an expanding clinical research pipeline, the Huntington’s Disease Society of America (HDSA) spoke with members of the Huntington’s Disease Coalition for Patient Engagement (HD-COPE). This group of global advocates led by HDSA and the Huntington’s Society of Canada (HSC) collaborates with pharmaceutical companies to ensure that HD voices are represented in the planning of clinical trials. These conversations allowed HDSA to summarize how the HD community can be best supported through the clinical research process in three key areas: engagement, support, and education.
Deep neural fuzzy based fractional order PID controller for level control applications in quadruple tank system
Authors: Agitha T. , Sivarani T.S.
Published: April 2023

This research work focus on level control in quadruple tank systems based on proposed Deep Neural Fuzzy based Fractional Order Proportional Integral Derivative (DN-FFOPID) controller system. This is used for controlling the liquid level in these non- linear cylindrical systems. These model helps in identifying the dynamics of the tank system which gives the control signal feed forwarded from the reference liquid level. But, it fails to minimize the error and the system is also subjected to external disturbances. Hence, to minimize this drawback a novel controller must be introduced in it. The proposed Deep Neural model is a six layered network which are optimized with the back-propagation algorithm. It effectively trains the system thus reducing the steady state error, offset model errors and unmeasured disturbances. This neural intelligent system maintains the liquid level which fulfils the required design criteria like time constant, no overshoot, less rise time and less settling time, which can be applied to various fields. MATLAB/simulink at FOMCON toolbox is used to perform the simulation. Real time liquid control experimental results and simulation results are demonstrated which proves the effectiveness and feasibility of the proposed methods for the quadruple tank system which finds applications in effluent treatment, petrochemical, pharmaceutical and aerospace fields.
Cloud computing and machine learning for analysis of health care data based on neuro fuzzy logistic regression
Authors: Dhiyanesh B. , Rameshkumar M. , Karthick K. , Radha R.
Published: April 2023

Healthcare data is the most sensitive information for processing through machine learning and cloud computing in the various healthcare organizations. Electronic Health Record (EHR) manipulation are now on the rise, and we need to focus on using the data generated by the healthcare applications. Many sensitive data are associated with various health care domains, particularly neurology and cardiology. Previous approaches, such as manual data records, had significant disadvantages, and hence disease prediction based on the above records was found ineffective resulting with improper diagnosis on the patients. These data records require special attention, and current frameworks focused on these areas must implement sophisticated technologies to predict specific patterns. To address the above concerns, the proposed work incorporates the integration of Neuro Fuzzy Logistic Regression (NFLR) machine learning algorithm and cloud computing storage management to solve these problems. The usage of cloud storage reduces data duplication while handling the storage of EHRs where the proposed ML algorithm accurately predict the disease. In the proposed research, the features are extracted using a specific algorithm –Self-organizing Clustering (SOC) which forms a clustered data with highest weight. To select the maximum number of features, and to predict the disease risk factors, the S2NO algorithm and NFLR algorithms are used in this work. Further, the database storage estimation with fuzzy rules, logistic analysis, and other benefits such as experimental learning of different ML tools, data privacy constraints related to healthcare are considered in this paper.
Hesitant fuzzy β-covering ( T , I ) rough set models: An application to multi-attribute decision-making
Authors: Fu Chao , Qin Keyun , Yang Lei , Hu Qian
Published: April 2023

Covering rough sets have been successfully applied to decision analysis because of the strong representing capability for uncertain information. As a research hotspot in decision analysis, hesitant fuzzy multi-attribute decision-making (HFMADM) has received increasing attention. However, the existing covering rough sets cannot handle hesitant fuzzy information, which limits its application. To tackle this problem, we set forth hesitant fuzzy β-covering rough set models and discuss their application to HFMADM. Specifically, we first construct four types of hesitant fuzzy β-covering ( T , I ) rough set models via hesitant fuzzy logic operators and hesitant fuzzy β-neighborhoods, which can handle hesitant fuzzy information without requiring any prior knowledge other than the data sets. Then, some intriguing properties of these models and their relationships are also discussed. In addition, we design a new method to deal with HFMADM problems by combining the merits of the proposed models and the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. In this method, we not only consider the risk preferences of decision-makers, but also present a new hesitant fuzzy similarity measure expressed by hesitant fuzzy elements to measure the degree of closeness between two alternatives. Finally, an enterprise project investment problem is applied to illustrate the feasibility of our proposed method. Meanwhile, the stability and effectiveness of our proposed method are also verified by sensitivity and comparative analyses.
StynMedGAN: Medical images augmentation using a new GAN model for improved diagnosis of diseases
Authors: Wali Aamir , Ahmad Muzammil , Naseer Asma , Tamoor Maria , Gilani S.A.M.
Published: April 2023

Deep networks require a considerable amount of training data otherwise these networks generalize poorly. Data Augmentation techniques help the network generalize better by providing more variety in the training data. Standard data augmentation techniques such as flipping, and scaling, produce new data that is a modified version of the original data. Generative Adversarial networks (GANs) have been designed to generate new data that can be exploited. In this paper, we propose a new GAN model, named StynMedGAN for synthetically generating medical images to improve the performance of classification models.  StynMedGAN builds upon the state-of-the-art styleGANv2 that has produced remarkable results generating all kinds of natural images. We introduce a regularization term that is a normalized loss factor in the existing discriminator loss of styleGANv2. It is used to force the generator to produce normalized images and penalize it if it fails. Medical imaging modalities, such as X-Rays, CT-Scans, and MRIs are different in nature, we show that the proposed GAN extends the capacity of styleGANv2 to handle medical images in a better way. This new GAN model (StynMedGAN) is applied to three types of medical imaging: X-Rays, CT scans, and MRI to produce more data for the classification tasks. To validate the effectiveness of the proposed model for the classification, 3 classifiers (CNN, DenseNet121, and VGG-16) are used. Results show that the classifiers trained with StynMedGAN-augmented data outperform other methods that only used the original data. The proposed model achieved 100%, 99.6%, and 100% for chest X-Ray, Chest CT-Scans, and Brain MRI respectively. The results are promising and favor a potentially important resource that can be used by practitioners and radiologists to diagnose different diseases.
Information extraction from Visually Rich Documents using graph convolutional network
Authors: Nguyen-Trong Khanh , Trinh Thinh
Published: April 2023

Visually rich documents, such as forms, invoices, receipts, and ID cards, are ubiquitous in daily business and life. Various methods have been used to convey such diverse information, including text, layout, font size, or text position. Combining these elements in information extraction can improve the result performance. However, previous works have not effectively utilized the cooperation between these rich information sources. Text detection and recognition have been performed without semantic supervision (e.g., entity name annotation), and text information extraction has been performed using only serialized plain text, ignoring rich visual information. This paper presents a method for extracting information from such documents, which integrates textual, non-spatial, and spatial visual features. The method consists of two main steps and uses three deep neural networks. The first step, Text Reading, employs two CNN models (Lightweight DB and C-PREN) for OCR tasks, based on the state-of-the-art models DB and PREN, with two improvements. These improvements include reducing noise by removing the SE block of DB and integrating both context and position features in PREN. The second step, Text Information Extraction, uses a graph convolutional network, RGCN, for name entity recognition. Experiments on self-collected and two public datasets have demonstrated that our method improves the performance of the original models and outperforms other state-of-the-art methods.
Saliency map in image visual quality assessment and processing
Authors: Lukin Vladimir , Bataeva Ekaterina , Abramov Sergey
Published: April 2023

Images are mainly viewed and analyzed by humans. Because of this, in the characterization of image quality and effectiveness of image processing, it is necessary to take into account the peculiarities of the human vision system and cognition that are very complex. Saliency maps as well as priority and meaning maps introduced recently are the attempts to incorporate specific features of human vision into image analysis and processing fields. Many authors that consider the aforementioned maps consider them from different viewpoints. Thus, the basic subject of this paper is the factors that influence and determine these maps. Among such factors, there are low-level features as well as social and psychological ones such as emotions, age, and life values. The main goal of this paper is to give a brief survey of these factors and to consider how maps are already used in image quality assessment and processing as well as how they can be employed in the future. The tasks of the paper are to provide a definition of saliency, priority, and meaning maps, to analyze the factors that influence these maps, and to evaluate what improvement can be obtained due to taking maps into account in the assessment of image visual quality and such image processing operations as quality assessment, denoising, and lossy compression. The main result is that, by taking saliency maps into account, image quality assessment and processing efficiency can be sufficiently improved, especially for applications oriented on image viewing and analysis by observers or customers. This can be done by the simple weighting of local estimates of a given metric with further aggregation as well as by approaches based on neural networks. Using different quantitative criteria, we show what positive results can be got due to incorporating maps into quality assessment and image processing. As conclusion, we present possible directions of future research that are mainly related to an adaptation of denoising and lossy compression parameters to peculiarities of human attention.
Autonomous flight insurance method of unmanned aerial vehicles Parot Mambo using semantic segmentation data
Authors: Naso David , Pohudina Olha , Pohudin Andrii , Yashin Sergiy , Bartolo Rossella
Published: April 2023

Autonomous navigation of unmanned aerial vehicles (UAVs) has become in the past decade an extremely attracting topic, also due to the increasing availability of affordable equipment and open-source control and processing software environments. This demand has also raised a strong interest in developing accessible experimental platforms to train engineering students in the rapidly evolving area of autonomous navigation. In this paper, we describe a platform based on low-cost off-the-shelf hardware that takes advantage of the Matlab/Simulink programming environment to tackle most of the problems related to UAV autonomous navigation. More specifically, the subject of this paper is the autonomous control of the flight of a small UAV, which must explore and patrol an indoor unknown environment. Objectives: to analyse the existing hardware platforms for autonomous flight indoors, choose a flight exploration scenario of unknown premises, to formalize the procedure for obtaining a model of knowledge for semantic classification of premises, to formalize obtaining distance to obstacles using data camera horizontally employment and building on its barrier map. Namely, we use the method of image segmentation based on the brightness threshold, a method of training the semantic segmentation network, and computer algorithms in probabilistic robotics for mobile robots. We consider both the case of navigation guided by structural visual information placed in the environment, e.g., contrast markers for flight (such as path marked by a red tape), and the case of navigation based on unstructured information such as recognizable objects or human gestures. Basing on preliminary tests, the most suitable method for autonomous in-door navigation is by using\ object classification and segmentation, so that the UAV gradually analyses the surrounding objects in the room and makes decisions on path planning. The result of our investigation is a method that is suitable to allow the autonomous flight of a UAV with a frontal video camera. Conclusions. The scientific novelty of the obtained results is as follows: we have improved the method of autonomous flight of small UAVs by using the semantic network model and determining the purpose of flight only at a given altitude to minimize the computational costs of limited autopilot capabilities for low-cost small UAV models. The results of our study can be further extended by means of a campaign of experiments in different environments.
Psycholinguistic Paradigm of Transformational Model of English-Ukrainian Translation
Authors:   Rivne State University of the Humanities, Ivashkevych Ernest
Published: April 2023

the purpose of our research is: 1) to show the main psychological cha­racteristics of oral translation activity; 2) to organize the ascertainment study and to analyze the results of it according to the selected criteria, such as: a) the level of students’ communicative and speaking activity; b) the level of personal and situational anxiety; c) the language hearing level; 3) to propose Transfor-mational Model of English­Ukrainian Translation, using English phraseological units, and to describe it.methods of the research. The following theoretical methods of the research were used to solve the tasks formulated in the article: the categorical method, structural and functional methods, the methods of the analysis, systematization, modeling, generalization. The empirical method is ascertaining research.the results of the research. We think that the data of psycholinguistic ob-servations are the means of modifying existing models of implementation of translation activities. We propose a universal Transformational Model of Eng-lish­Ukrainian Translation as the most possible translation model. We believe that this model includes three stages: 1) the analysis, during which the surface structure in language A is reduced to a set of grammatical transformations (the analysis taking into account grammatical relations and meanings of linguistic units); 2) transferring the analyzed material from language A to language B; 3) the reconstruction or final adaptation of the final message taking into account the norms of the language having been used to translate the text.conclusions. We proved that grammatical transformations were one of the methods of semantic analysis of the original text and one of the ways of con-structing the final statement. However, reducing the translation to only gram-matical transformations somewhat simplifies the real process of translation, since it uses both lexical­syntactic paraphrasing and semantic modifications due to situational­pragmatic factors, etc. As a result, the translation itself is con-sidered by us as a combination of three components: on the one hand, it is a product, on the other one, it is a certain number of technologies, and on the third hand, it is a process of combining (for the translator) a certain set of signs (the original text) and taking into account the effectiveness of semantic perception by the recipient of a set of signs offered to him/her by the translator.
Organization of distance education in the subject “Аnimal physiology” with using the electronic learning platform MOODLE and YouTube video hosting
Authors: Vodopianova L. A. , Denisova O. M. , Zhukova I. O. , Bobrytska O. M. , Ulizko P. Y.
Published: April 2023

The current development level in IT contributes to the introduction of computer technology and other technologies in the learning process at various levels of education. Informatization of education is a process that provides the education sector with methodology and practice for the development and optimal use of modern information and communication technologies focused on implementing the psychological and pedagogical goals of education and training. Education institutions face the challenge of preparing a new generation of teachers to use the new learning tools in teaching practices effectively. Information technologies allow the university teacher to prepare and conduct practical classes and lectures and control activities effectively and at a new level. This article highlights the experience of organizing the educational process in a distance format using information computer technologies. It analyzes the work of the most common online distance learning platforms, with the help of which the educational process takes place at the State University of Biotechnology. The authors investigated the possibilities of the electronic learning platform MOODLE (Modular Object-Oriented Dynamic Learning Environment) for students of the Veterinary medicine and biotechnology faculties. An analysis of the advantages of the MOODLE distance learning platform and ways to eliminate its shortcomings was carried out, the main of which, according to the authors, is the need to adapt the teaching of one of the essential fundamental disciplines to the video format and provide the combination of visualization of the classroom performance of laboratory and practical work with the possibility of independent, remote work if available access to the Internet. It is claimed that the MOODLE platform can use a wide range of video files, but this is not enough for a perfect study of the discipline “Animal Physiology”. Due to the limitation of specific technical characteristics of the MOODLE platform, the authors introduced files from YouTube video hosting into the educational process, which required creating their content. In the article, the authors presented their views on the creation of a single virtual, informational environment that combines all available technological functions of the system of professional training of future doctors of veterinary medicine.
Inclusion of vermiculture biomass grown on a substrate of accelerated fermentation into combined feeds for broiler chickens
Authors: Osipenko I. S. , Merzlov S. V.
Published: April 2023

As the population increases, the problem of meat production will grow. An alternative method of solving this problem is growing broiler chickens; however, with this technology, the question of protein content and available amino acids in poultry feed remains open. Vermiculture biomass can be an inexhaustible source of protein for broiler chickens feeding. Under the vivarium of the Bila Tserkva National Agrarian University, worms were grown on a substrate containing poultry droppings with litter fermented by an accelerated method with the participation of a destructor. Therefore, the work aims to establish the effect of such vermiculture biomass on productivity and protein metabolism in the body of broiler chickens. For this purpose, the broiler chickens of the research groups were fed with compound feed with a content of 1.5, 3.0, and 4.5 % of vermiculture biomass. Poultry compound feed from the control group did not contain worm biomass. At the end of the experiment, the bird's body weight was recorded, the absolute and average daily gains were determined, and the indicators of protein accounting in the liver of broiler chickens were determined. It has been established that the body weight of broiler chickens varies depending on the content of vermiculture biomass in compound feed. Using a low dose of worms in the feed did not make it possible to obtain a statistically significant increase in the body weight of broiler chickens. By adding 3.0 and 4.5 % vermiculture biomass to the compound feed, the body weight of broilers increases by 3.5 and 3.7 % compared to the index of birds that were not fed worms. It was found that the absolute and average daily growth of broiler chickens that consumed compound feed containing 3.0 and 4.5 % vermiculture biomass increased by a statistically significant amount. It has been proven that using vermiculture biomass affects the protein metabolism indicators in broiler chickens' livers. In the liver of broiler chickens, which were fed with compound feed with a content of 3.0 and 4.5 % of vermiculture biomass, a tendency to an increase in the total protein content and a statistically significant increase in the activity of aspartate aminotransferase and alanine aminotransferase was established. In the liver of broilers, which were fed with compound feed with a content of 3.0 and 4.5 % of worm biomass, a tendency to increase the content of total and protein total groups was revealed.
НАРОДНОПІСЕННЕ ВИКОНАВСТВО У СУЧАСНОМУ НАЦІОНАЛЬНОМУ МУЗИКОЛОГІЧНОМУ ДИСКУРСІ
Authors: КАРЧОВА Юлія
Published: April 2023

Народнопісенне виконавство – атрибутивний маркер українського художнього простору, феноменологічна та онтологічна специфіка якого завжди була у фокусі уваги музикологічного знання. Мета статті – виявлення провідних концептуальних спрямувань у музикологічному дискурсі щодо питань народнопісенного виконавства. Методологія дослідження має основою засади системного підходу, аналізу та синтезу. Наукова новизна полягає у систематизації та окресленні новітніх спрямувань сучасного музикологічного знання, спрямованих на висвітлення феноменологічної та онтологічної специфіки народнопісенного мистецтва. Висновки. У статті на ґрунті аналізу сучасних досліджень із широкого кола питань народнопісенного виконавства висвітлено специфіку таких провідних дослідницьких модусів, як: феноменологічний, орієнтований виявлення специфіки виконавського фольклоризму та аматорства як культурного феномену; культурологічний, у межах якого конструюється новітнє осмислення народнопісенного мистецтва як художнього відбиття генного коду та менталітету нації, чинника ідентичності та буття традиційної етнокультури; регіональний, який вирізняється поглибленим дослідженням історії та виконавської специфіки народнопісенного виконавства, зокрема і в контексті діяльності української діаспори; методичний, у межах якого постають нові питання педагогіки, пов’язані з потребою посилення значущості українознавчого фундаменту сучасної фахової підготовки виконавця народної пісні, регіонально маркованих навичок виконавства та емоційної компоненти народнопісенного мистецтва, його режисерського оформлення та синтезу з маркерами мистецтва естради; персональний, позначений спрямованістю на виявлення специфіки інтерпретування народнопісенної виконавської парадигми у творчості видатних виконавиць народної пісні; термінологічний, який характеризується тенденцією розширення термінологічного апарату з питань народнопісенного виконавства, активізацією обігу понять «етноестетика», «народнопісенне амплуа»; функціональний, орієнтований на висвітлення проблем буття народнопісенного мистецтва у художньому просторі сучасності.
МУЗИЧНА МОВА ЯК ВЛАСТИВІСТЬ МУЗИЧНОГО МИСЛЕННЯ (СТРУКТУРНИЙ АНАЛІЗ МУЗИЧНО-СЛУХОВИХ УЯВЛЕНЬ)
Authors: МИГОВИЧ Микола , ПОЛЮГА Вікторія
Published: April 2023

Мета роботи полягає у визначенні особливостей та структурно-аналітичних характеристик музичної мови як властивості музичного мислення, адже проблема осмислення музичного мислення багатогранна й різнопланова. Методологія дослідження апелює до застосування ряду взаємозалежних методів та підходів: психологічного, педагогічного та мистецтвознавчого. Наукова новизна полягає в новому погляді на усталені наукові дослідження властивостей музичного мислення, а саме – музичної мови у її окремих концептах, таких як музично-слухові уявлення. Висновки. В статті представлено проблему музичного мислення, що не є прерогативою виключно професійних музикантів. Зазначено, що музичність є вродженою здатністю людини, і фактично кожен, незалежно від того, спеціалізується він в області музики чи ні, є носієм музичного мислення, несвідомо чи свідомо сприймаючи музичну мову через соціальну комунікативність. Звертаючись до осмислення музично-слухових уявлень, констатуємо, що музичні уявлення – це складний комплекс слухових, моторно-зорових образів, що утворюються на основі чуттєвого і когнітивного досвіду особистості у процесі музичної діяльності, яка здійснюється у певних соціокультурних умовах. Сутність музично-слухових уявлень виявляється в інтонації, яка є смисловим центром художньо-образного змісту музичних творів і відображає розвиток колективної свідомості певних соціокультурних спільнот. Аналізуючи музично-слухові уявлення як основну форму музичного мислення, нами окреслено складну природу цих утворень та подано їх характерні особливості з точки зору музичної діяльності особистості. Розглядаючи музично-слухові уявлення як результат цієї діяльності, ми підкреслюємо їх важливість у становленні музиканта-виконавця. Отже, музичне мислення – це до певного рівня мимовільний процес, який залежить від природних, соціокультурних та наслідкових характеристик особистості, її комунікативного оточення і виховання. Формуючись в конкретному соціально-культурному середовищі, кожен індивід отримує певний музично-мовний словник, який дозволяє йому орієнтуватися у потоці музичних вражень.
Vuoti domestici nello spazio abitativo pubblico a Venezia. Una lettura del patrimonio dell'Agenzia Territoriale per l'Edilizia Residenziale di Venezia
Authors: Curtoni Andrea
Published: April 2023

Il presente contributo indaga il tema dei "vuoti domestici" nello spazio abitati- vo pubblico dell'ATER di Venezia attraverso una lettura dell'andamento storico del fenomeno delle abitazioni non occupate nel Comune di Venezia e la presa in esame del caso di Cannaregio ed il complesso delle case sane ed economiche ai Gesuiti. Le conclusioni cercano di tratteggiare un quadro delle risorse abitative pubbliche in disuso quale elemento di supporto nell'elaborazione di strategie abi- tative innovative di riuso.
Giusta transizione ecologica e diseguaglianze: il ruolo del diritto
Authors: Barbera Marzia
Published: April 2023

L'articolo esplora il rapporto che corre fra crisi climatica e diseguaglianze, esamina le politiche che dovrebbero accompagnare la giusta transizione e analizza il ruolo che il diritto può giocare nella lotta agli aspetti distorsivi e agli squilibri sociali connessi ai cambia-menti climatici. Vengono valutati, in particolare, alcuni significativi esempi di climate change litigation e il ricorso al diritto rimediale e al diritto antidiscriminatorio.
Accomodamenti ragionevoli e discriminazioni per motivi religiosi sul luogo di lavoro
Authors: Marinelli Francesca , Dolazza Laura
Published: April 2023

Il saggio principia, da un lato, mostrando attraverso i dati l'importanza crescente nel nostro Paese del tema delle discriminazioni religiose e, dall'altro, dando conto, attraverso una rapida panoramica della casistica giurisprudenziale proveniente da "ambienti" per tradizione mag-giormente multietnici rispetto al nostro, di quanto sia ampio il ventaglio di situazioni di poten-ziale "frizione" religiosa sui luoghi di lavoro, per poi soffermarsi sull'originale operazione recentemente posta in essere dalle Sezioni Unite della Corte di Cassazione italiana. Prendendo spunto - per ammissione della stessa Corte - dalla giurisprudenza straniera, le Sezioni Unite hanno infatti "traslato" nell'ambito delle discriminazioni religiose uno strumento sinora accor-dato dal legislatore solo alle discriminazioni per ragioni di disabilità e, cioè, quello dei c.d. ac-comodamenti ragionevoli. Dopo una panoramica della giurisprudenza straniera (e, in particola-re, nord-americana) che ha influito sulla decisione in parola, nell'ultima parte del lavoro, le Autrici si interrogano sulla correttezza dal punto di vista giuridico di tale operazione interpretativa.
Breaking Free of Conceptual Frameworks and Learning how to Learn
Authors: Jacobs Garry , Ramanathan Janani
Published: April 2023

There has been no challenge, crisis or disaster in human history that has not left behind it ben-eficial results and accomplishments that would otherwise not have been possible. Whether a crisis continues to persist and remain a source of grief, or is overcome successfully and even converted into an opportunity depends on how we respond to it. The COVID-19 pandemic has disrupted life around the world for nearly three years. As we pick ourselves up and learn our lessons, this is the best time to use the pressure of the challenge to discard encrusted struc-tures and rigid mindsets, reinvent ourselves, and usher in a new paradigm of thought that results in a new paradigm of social development and human security. This paper studies the pos-itive and negative developments in the past three years and posits that deep and creative thinking, a future-ready education for our youth and a global, values-based leadership for the 21st century will support humanity in this endeavour.
The storm of creative destruction. Understanding the "damage-remedy" logic of capitalism in times of pandemics
Authors: Iannone Roberta , Iannuzzi Ilaria
Published: April 2023

This essay aims at investigating what role capitalism, in its ideal-typical logic, plays in times of pandemic crisis. The research hypothesis consists in abandoning a one-sided idea of capital-ism, which is the dominant one in the neoliberal version, to recover, instead, that of "creative destruction", as the most constitutive logic of the phenomenon from its origins and also the most promising for scientifically explaining the relationship between capitalism and pandem-ics. Attempts will be made to demonstrate the scientific inconsistency of a reading that rigidly and dogmatically sets antithetical interpretations of capitalism against each other, and to con-struct, instead, one that combines the possibility of divergences. Finally, the question will arise as to what implications can be drawn from this incidence of the logic of creative destruction in capitalism and whether this is such as to impose deterministic results, as well as supposedly at the level of common sense or generalization, or whether there is still room for manoeuvre and guidance by science and politics in particular.
From criticism of protocols to criticism of the diagnostic practice. The sociological contribution to psychiatric practice in an age of mental illness epidemics
Authors: Caniglia Enrico
Published: April 2023

This paper discusses the role that sociological reflection can play in learning and improving knowledge in the field of mental health care. Two different positions within sociology will be discussed. The first one, taken from a constructionist perspective, interprets the role of sociology as a critical instance and highlights how the adoption of rigid formal protocols in psychiatry has hindered and endangered the autonomy and necessary discretion of clinicians at the moment of diagnosis. The second position, which takes an ethnomethodological point of view, holds instead that it is pointless to focus on formal protocols because concrete diagnostic practice consists of other procedures, not at all comparable to the official ones described by the DSM. For ethnomethodology, the contribution of sociology is not to add sociological knowledge to psychiatric knowledge, but to make the real resources and competences of clinical work explicit.
Risk communication in calamity society
Authors: Petroccia Sara
Published: April 2023

The aim of this study is to offer a sociological communication's reflection in calamity society, divided into two closely integrated and mutually consequential parts. The first part will consid-er why a sociological approach to cyclical disasters is appropriate, and the possible application of this approach will then be outlined, leading us to the second section of this work. The sec-ond part of the essay dwells on issues concerning risk communication, considering that communicative processes play a priority role in the selection of risks, through a slow process of social construction that begins with what Beck calls the staging of risk through a metamorphic process. In this context, a decisive role is played by communication, intended here as a phenomenon affecting the risk management process.
Emergency and Deservingness: Young People in the Italian Pandemic Debate
Authors: Martelli Alessandro , Pitti Ilaria , Volturo Stella
Published: April 2023

Even before the Covid-19 pandemic, young people had a peculiar position in Italian public and institutional discourses. On the one hand, their complex living conditions nourished preoccu-pations and calls for intervention to save an "endangered" social group. On the other hand, young people's behaviours were constantly placed under scrutiny as potentially dangerous for themselves and society. Through an analysis of public and institutional discourses on youth and youth policies elaborated during the pandemic, the article analyses the interplay of these competing narratives in political and policy choices during the Covid-19 emergency exploring how young people's (un)deservingness has been framed. In doing so, the article asks what understanding of youth sustains recent institutional choices in terms of resources distribution and what institutions have learnt on (and from) young people during the pandemic.
La mesure et l'exemple: l'exemplarité morale dans l'éthique d'Aristote
Authors: Morel Pierre-­Marie
Published: April 2023

In this article, it is argued that: 1) Aristotle's use of moral exemplars is not a mere practical empiricism;; 2) moral exemplarity counts as a legitimate tool for practical knowledge. At first glance, the moral exemplar looks like a mere empirical substitute for a scientific knowledge of the Good, which, strictly speaking, would be impossible. In that respect, the exemplar looks like a particular case, by contrast with real practical norms. Consequently, Aristotle's exemplarism seems, at best, to lead to a sort of relativistic particularism. However, Aristotle's use of examples and exemplars have a significant part in moral conduct, where the virtuous person stands for the human standard of good action. Moreover, Aristotle puts the emphasis on the notion of "measure" (metron). By doing so, he constructs a consistent conception of moral exemplarity. The wise person is the ‘measure' of moral conduct, and this means that he is neither an absolute model to be imitated, nor a mere particular case to be consider.
The exemplary and the right. Contemporary virtue ethics, action guidance, and action assessment
Authors: Silvia Vaccarezza Maria
Published: April 2023

In this paper, I will account for the importance of the notion of exemplarity within the contemporary virtue-­ethical debate, both in its classic formulation (e.g., Hursthouse 1999) and in the recent exemplarist moral theory advanced by Linda T. Zagzebski (2015;; 2017). Despite their differences, which I will discuss extensively, both theories are centered on a characterization of an exemplary virtuous agent that serves as a standard for determining what, in a given situation, is right, wrong, dutiful and forbidden. The first two sections will be devoted to an assessment of the strengths and weaknesses of these two approaches. In the third, I will propose a different role of radical (i.e., exceptional) individuals, i.e., saints and heroes, within a virtue-ethical theory of right action.
Identification and conservation application of signal, noise, and taxonomic effects in diversity patterns
Authors:   Stanford Univ., Stanford, CA, USA, Fleishman E.
Published: April 2023

Ongoing research on butterflies and birds in the Great Basin has identified biogeographic patterns while elucidating how dynamic measures of diversity (species richness and turnover) affect inferences for conservation planning and adaptive management. Nested subsets analyses suggested that processes influencing predictability of assemblage composition differ among taxonomic groups, and the relative importance of those processes may vary spatially within a taxonomic group. There may be a time lag between deterministic environmental changes and a detectable faunal response, even for taxonomic groups that are known to be sensitive to changes in climate and land cover. Measures of beta diversity were sensitive to correlations between sampling resolution and local environmental heterogeneity. Temporal and spatial variation in species composition indicated that spatially extensive sampling is more effective for drawing inferences about biodiversity responses to environmental change than intensive sampling at relatively few, smaller sites.
Preferencias de hábitat, densidad y diversidad de las comunidades de aves en Tenerife (Islas Canarias)
Authors:   Museo Nacional de Ciencias Naturales–CSIC, Madrid, Spain, Carrascal L. M. , Palomino D. ,   Museo Nacional de Ciencias Naturales–CSIC, Madrid, Spain
Published: April 2023

Species–specific habitat preferences, density and species richness of bird communities in Teneriffe (Canary Islands) Bird distribution and abundance are described and analyzed in Teneriffe (Canary Islands). Inter–habitat differences in density, diversity and species richness are shown in table 1. Figure 2 shows the main determinants of bird species richness in Teneriffe, and tables 2 and 3 and figure 3 show the species–specific patterns of spatial variation abundance (more detailed for Anthus berthelotii, Fringilla coelebs canariensis, Fringilla teydea, Parus caeruleus teneriffae, Phylloscopus canariensis, Regulus teneriffae, Serinus canarius and Turdus merula cabrerae). Deeply transformed environments due to human impact (urban habitats, agricultural mosaics, banana plantations) have high bird densities and species richness, even higher than those measured in native, unmodified habitats such as laurel forests or mature pinewoods. Urban environments in Teneriffe are very permeable to native bird fauna, as they have been occupied by many widespread endemic species/subspecies. Many of the endemic, well defined species or subspecies of island birds have high population densities within native, untransformed habitats. Density compensation and niche expansion is not a common phenomenon in the avifauna of Teneriffe. Nevertheless, all species/subspecies broadening the inter–habitat or altitudinal distribution are endemic of the Canary Islands.
Conservation implications of wild animal biomass extractions in Northeast India
Authors:   World Pheasant Association, South Asia Field Office, Gurgaon, India, Hilaluddin R. K. , Ghose D. ,   World Pheasant Association, South Asia Field Office, Gurgaon, India
Published: April 2023

We investigated the patterns of wild meat extraction and consumption by indigenous communities in Northeast India. Our respondents hunted at least 134 species of wild animals over the previous year in the villages surveyed and continued to harvest and use wild meat as their cash income increased. These indigenous communities of Northeast India showed an average of 32 to 59% dependency on the forestry sector. Wild meat contributed significantly (up to 25%) to their economies, suggesting previous assessments of dependence on the forestry sector should be reviewed. All sections of the society exploited wild meat equally. As education seems to play a role in reducing wild meat extractions, increased awareness in conservation of natural resources should be promoted.
Taguchi-Grey Relational Analysis Method for Parameter Tuning of Multi-objective Pareto Ant Colony System Algorithm
Authors: Muthana Shatha Abdulhadi , Ku-Mahamud Ku Ruhana
Published: April 2023

In any metaheuristic, the parameter values strongly affect the efficiency of an algorithm’s search. This research aims to find the optimal parameter values for the Pareto Ant Colony System (PACS) algorithm, which is used to obtain solutions for the generator maintenance scheduling problem. For optimal maintenance scheduling with low cost, high reliability, and low violation, the parameter values of the PACS algorithm were tuned using the Taguchi and Grey Relational Analysis (Taguchi-GRA) method through search-based approach. The new parameter values were tested on two systems. i.e., 26- and 36-unit systems for window with operational hours [3000-5000]. The grey relational grade (GRG) performance metric and the Friedman test were used to evaluate the algorithm’s performance. The Taguchi-GRA method that produced the new values for the algorithm’s parameters was shown to be able to provide a better multi-objective generator maintenance scheduling (GMS) solution. These values can be benchmarked in solving multi-objective GMS problems using the multi-objective PACS algorithm and its variants.
Improving Visual Style Classification in Digital Games Using Intercoder Reliability Assessment
Authors: Jamal Jazmi Izwan , Mohd Yusof Mohd Hafizuddin , Lim Kok Yoong , Jamal Jamia Azdina
Published: April 2023

The digital gaming community appreciates visual style information in digital games as it facilitates information seeking. Nevertheless, learned scholars have discovered that the digital game visual style classification is inconsistent and easily modified, potentially limiting the information and leading to inaccurate visual terminologies during information discovery. Therefore, this cross-sectional study was performed to assess multiple visual style classification terms and their definitions among Malaysian game developers using the closed card sorting exercise. A total of seven professional game developers participated in an online survey that comprised thirty-five digital game case studies using a card sorting technique. They were asked to classify nineteen visual style classification terms, including psychedelic, text, illusionism, photorealism, televisualism, handicraft, caricature, celshaded, comic book (anime), watercolour, Lego, minimalism, pixel art, silhouette, bright, dark, maplike, colourful, and black and white. The Fleiss’ kappa intercoder reliability assessment was performed to measure the coders’ agreement on visual style classification, followed by the think-aloud protocol descriptive analysis to gather assessment insights into the visual style descriptions. The intercoder reliability test achieved a significantly moderate agreement based on the results. The professional game developers agreed on eighteen visual styles and rejected the bright visual style classification due to its overlapping description with the colourful visual style. The definition of ten visual style classifications was improved from the existing Video Game Metadata Schema (VGMS) description, contributing to the digital game’s coherence and consistency. This improvement will enhance visual style classification information for machine-learning-based recommendation systems for digital game distribution platforms and digital archiving.