bluuebunny/crossref_metadata_2025 huggingface dataset:
SOCIOLOGIA POLÍTICA E GOVERNANÇA DIGITAL: perfil de recrutamento dos conselheiros indicados pelo governo ao Comitê Gestor da Internet (2004-2020)
Authors: De Souza Fanfa Mauricio , Coelho Martins de Albuquerque Mateus
Published: April 2024

O Comitê Gestor da Internet (CGIbr) é o órgão responsável pela governança da Internet no Brasil, isto é, a regulamentação de seus elementos administrativos e estruturais. É formado por 21 membros e, destes, 8 são indicados pelo governo. Este trabalho tem por objetivo analisar, através do método prosopográfico, os perfis dos indicados entre os anos de 2004 e 2020. Foram analisadas as trajetórias de carreira profissional e educacional dos conselheiros. Além de analisar padrões de indicação, o trabalho também busca averiguar se há mudança nestes perfis entre os governos. Foi possível identificar que enquanto as primeiras formações, no governo Lula, apresentavam certa heterogeneidade de perfis, com presença de acadêmicos, a partir do governo Dilma se estabelece um padrão de homogeneização dos indicados, com destaque a burocratas da administração federal pós-graduados.
O ADJETIVO 'MILITAR' NO AULETE DIGITAL:uma análise discursiva de ferramentas tecnológicas de instrumentalização linguística
Authors: Ramos Ghiraldelli Paula , Barbosa Soares Thiago
Published: April 2024

Este estudo analisou, sob a luz da Análise do Discurso Francesa, a descrição do adjetivo ‘militar’, disposta nas versões de 1980 e 2007 do dicionário Caldas Aulete. O delineamento dos conceitos teórico metodológicos da AD nas materialidades discursivas, demonstrou que estão inseridas em uma Formação ideológica pró-militar e conservadora; e em uma Formação discursiva institucional na qual o dicionário é o detentor dos dizeres. Sobre as diferenças entre os objetos, destaca-se a mudança de ambientação dos exemplos, relativa à concepção de língua e norma.
AS NARRATIVAS ENVOLVIDAS NO PROCESSO DE MIGRAÇÃO AM/FM EM EMISSORAS DA REGIÃO METROPOLITANA DE CURITIBA/PR
Authors: Cubas Martins Joao , Fernandes José Carlos
Published: April 2024

A mudança de faixa das emissoras de rádio AM para FM desenha uma nova configuração para o cenário radiofônico brasileiro. Este artigo propõe uma análise da migração das rádios da faixa AM para FM em emissoras de Curitiba e Região Metropolitana, por meio de entrevistas e análise crítica da narrativa de seis gestores. Em meio às incertezas, essa mudança é esperada pelos entrevistados, tendo em vista as dificuldades enfrentadas pelas emissoras para se manter no ar, em um contexto em que a convergência propicia múltiplos concorrentes a este meio centenário.
MAPEAMENTO E CARTOGRAFIA : um estudo sobre a aplicação dessas metodologias na Comunicação
Authors: Assunção Reis Thays , Cristina Bueno Thaisa , Alves da Silva Marcelli
Published: April 2024

Este estudo busca entender como pesquisadores tem se apropriado dos modelos metodológicos da Cartografia e Mapeamento no campo da Comunicação. Para isso, este artigo buscou no Catálogo de Teses e Dissertações listadas na Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) as pesquisas que indicavam fazer uso de uma das duas metodologias e estavam disponíveis para o público até 2022, sem a data de ponto de partida. Conclusivamente a pesquisa mostrou, dentre outros, que de forma geral as terminologias mapeamento e cartografia, não são utilizadas como sinônimos e a predominante é a da cartografia.
APROPRIAÇÃO DAS MÍDIAS POR COMUNIDADES LOCAIS E GRUPOS POPULARES: análise de conteúdo da cartilha do curso prático de midiativismo pela CONTAG
Authors: Andrade Jhone Ricardo , Hergesel João Paulo
Published: April 2024

Este artigo objetiva discorrer sobre a apropriação das mídias por parte de comunidades populares com base em cartilha do curso de midiativismo da CONTAG. Fez-se uso da análise de conteúdo (Franco, 2012), com embasamento nos conceitos de ressignificação das mídias, globalização e formação do sujeito contemporâneo (Thompson, 2008; Silverstone, 2005; Santos, 1997; Giddens, 2002). Por fim, pôde-se verificar que, por meio do midiativismo, comunidades em condição vulnerável são capazes de se apropriar das novas tecnologias, explorando suas potencialidades conforme suas necessidades no enfrentamento à opressão do capital globalizado.
Participation of older adults in the digital co-creation of long-term care services with the SoCaTel platform
Authors: Deusdad Blanca , Djurdjevic Marija , Hall Karen A.E.
Published: April 2024

Although the European Commission has promoted the use of co-creation methodology for social services, this innovative practice has not yet been uniformly introduced in Europe. The SoCaTel platform was released with open access to promote and implement a digital co-creation platform involving all stakeholders, especially older adults and their carers, in long-term care. Using an innovative methodology applied in four European sites (Spain, Finland, Ireland and Hungary), in this article, we investigate the acceptance of this technology among older adults, its effectivity as a virtual support tool in the context of COVID-19 and its potential for developing digital repertoires.
Quantitative evaluation of the impact of variation of optical parameters on the estimation of blood hematocrit and oxygen saturation for dual-wavelength photoacoustics
Authors: Paul Subhadip , Patel Hari Shankar , Saha Ratan K.
Published: April 2024

Photoacoustic (PA) spectroscopy is considered to be one of the most effective ways to measure the levels of hematocrit (H) and oxygenation saturation (SO2) of blood, which are essential for diagnosing blood-related illnesses. This simulation study aims to investigate the impact of individual optical parameters, i.e., optical absorption coefficient (μ
a
), scattering coefficient (μ
s
), and anisotropy factor (g), on the accuracy of this technique in estimating the blood properties. We first performed the Monte Carlo simulations, using realistic optical parameters, to obtain the fluence maps for various samples. The wavelengths of the incident light were chosen to be 532, 700, 1000, and 1064 nm. Thereafter, the k-Wave simulations were executed, incorporating those fluence maps to generate the PA signals. The blood properties were obtained using the PA signals. We introduced variations in μ
a
, μ
s
, and g ranging from −10% to +10%, −10% to +10%, and −5% to +1%, respectively, at 700 and 1000 nm wavelengths. One parameter, at both wavelengths, was changed at a time, keeping others fixed. Subsequently, we examined how accurately the blood parameters could be determined at physiological hematocrit levels. A 10% variation in μ
a
induces a 10% change in H estimation but no change in SO2 determination. Almost no change has been seen for μ
s
variation. However, a 5% (−5% to 0%) variation in the g factor resulted in approximately 160% and 115% changes in the PA signal amplitudes at 700 and 1000 nm, respectively, leading to ≈125% error in hematocrit estimation and ≈14% deviation in SO2 assessment when nominal SO2=70%. It is clear from this study that the scattering anisotropy factor is a very sensitive parameter and a small change in its value can result in large errors in the PA estimation of blood properties. In the future, in vitro experiments with pathological blood (inducing variation in the g parameter) will be performed, and accordingly, the accuracy of the PA technique in quantifying blood H and SO2 will be evaluated.
Influence of adhesion layers on optical losses in THz quantum cascade lasers
Authors: Ushakov D. V. , Afonenko A. A. , Khabibullin R. A. , Gavrilenko V. I. , Dubinov A. A.
Published: April 2024

For a GaAs/AlGaAs terahertz (THz) quantum cascade laser (QCL) with a double metal waveguide (DMWG) based on Au and Cu metal plates and Ti and Ta adhesion layers, the dumping parameters and THz mode loss spectra were calculated. It has been shown that to minimize losses in high-temperature DMWG QCL designs, it is advisable to use Ti less than 5 nm thick or Ta less than 10 nm thick as adhesion layers for Au. The use of the proposed waveguide with a thickness of 20 µm will lead to the creation of a room temperature THz QCL.
Enhanced spontaneous radiation of quantum dots based on modulated anapole states in dielectric metamaterial
Authors: Xiong Jing , Wang Junqiao , Liu Xiangpeng , Zhang Hao , Wang Qiaoqiao , Sun Jingyi , Zhang Baolin
Published: April 2024

Dielectric nanostructures exhibit low-loss electrical and magnetic resonance, making them ideal for quantum information processing. In this study, the periodic double-groove silicon nanodisk (DGSND) is used to support the anapole state. Based on the distribution properties of the electromagnetic field in anapole states, the anapoles are manipulated by cutting the dielectric metamaterial. Quantum dots (QDs) are used to stimulate the anapole and control the amplification of the photoluminescence signal within the QDs. By opening symmetrical holes in the long axis of the nanodisk in the dielectric metamaterial, the current distribution of Mie resonance can be adjusted. As a result, the toroidal dipole moment is altered, leading to an enhanced electric field (E-field) and Purcell factor. When the dielectric metamaterial is deposited on the Ag substrate separated by the silicon dioxide (SiO2) layer, the structure exhibits ultra-narrow perfect absorption with even higher E-field and Purcell factor enhancement compared to silicon (Si) nanodisks.
Innovative rapid liquid concentration measurement based on thermal lens effect and machine learning
Authors: Cai Yuyao , Xu Zefeng , Cui Fenping , Pei Shixin , Wei Lili , Weng ZongHeng , Li Le
Published: April 2024

This study addresses the critical need for rapid and online measurement of liquid concentrations in industrial applications. Although the thermal lens effect (TLE) is extensively explored in laser systems for determining thermal lens focal lengths, its application in quantifying solution concentrations remains underexplored. This research explores the relationship between various liquid concentrations and the interference fringes induced by the TLE. A novel approach is introduced, utilizing TLE to measure solution concentrations, with integration of image processing and discrete Fourier transform (DFT) techniques for feature extraction from interference rings. Further, machine learning, specifically backpropagation artificial neural network (BP-ANN), is employed to model concentration measurement. The model demonstrates high accuracy, evidenced by low root mean square error (RMSE) values of 3.055 and 5.396 for the training and test sets, respectively. This enables precise, real-time determination of soy sauce concentration, offering significant implications for industrial testing, environmental monitoring, and other related fields.
Multiplexable all-optical nonlinear activator for optical computing
Authors: Teng Caihong , Zhang Xuhao , Tang Jindao , Ren Aobo , Deng Guangwei , Wu Jiang , Wang Zhiming
Published: April 2024

As an alternative solution to surpass electronic neural networks, optical neural networks (ONNs) offer significant advantages in terms of energy consumption and computing speed. Despite the optical hardware platform could provide an efficient approach to realizing neural network algorithms than traditional hardware, the lack of optical nonlinearity limits the development of ONNs. Here, we proposed and experimentally demonstrated an all-optical nonlinear activator based on the stimulated Brillouin scattering (SBS). Utilizing the exceptional carrier dynamics of SBS, our activator supports two types of nonlinear functions, saturable absorption and rectified linear unit (Relu) models. Moreover, the proposed activator exhibits large dynamic response bandwidth (∼11.24 GHz), low nonlinear threshold (∼2.29 mW), high stability, and wavelength division multiplexing identities. These features have potential advantages for the physical realization of optical nonlinearities. As a proof of concept, we verify the performance of the proposed activator as an ONN nonlinear mapping unit via numerical simulations. Simulation shows that our approach achieves comparable performance to the activation functions commonly used in computers. The proposed approach provides support for the realization of all-optical neural networks.
Dual-key-based adaptive watermark embedding for light field 3D images
Authors: Wu Qiming , Guo Junfeng , Kou Yu , Liu Shouxin , Shang Changjian , Li Xiaowei
Published: April 2024

The existing methods fail to effectively utilize the viewpoint information of light field 3D images for watermark embedding which results in a serious decrease in both invisibility and robustness of the watermark. Therefore, we propose a novel, to the best of our knowledge, light field 3D dual-key-based watermarking network (3D-DKWN). Our method employs a pixel mapping algorithm to obtain the disparity sub-image of the light field 3D image and generates an encoding key (EK). Adaptive watermark embedding is then performed on the disparity sub-image and a steganographic key (SK) is generated. Finally, the light field 3D image with the embedded watermark is reconstructed. Compared with previous approaches, our method reasonably utilizes the viewpoint information of light field 3D images, resulting in the significant improvement of invisibility and robustness of the watermark.
Receiver in-phase and quadrature skew tolerant baud-rate timing recovery scheme for short-reach coherent optical interconnection
Authors: Gong Siyu , Yang Yanfu , Xiang Qian , Fan Linsheng , Cheng Chen , Zhang Qun , Zuo Tianjian
Published: April 2024

A baud-rate sampling timing recovery (TR) scheme with receiver IQ skew tolerance is proposed and experimentally demonstrated. The proposed scheme performs independent TR for the in-phase and quadrature (IQ) tributary signals, thereby tracking the sampling phase error while naturally compensating for receiver IQ skew. The robustness of the IQ-independent TR to frequency offset (FO) and phase noise is theoretically analyzed. To address IQ misalignment caused by the IQ-independent TR, the use of pseudo-noise (PN) sequences for IQ frame synchronization is proposed. The proposed scheme achieves accurate timing recovery with hardware-efficient baud-rate sampling in the presence of receiver IQ skew, laying the foundation for stable performance of subsequent baud-rate equalization. The performance of the scheme is validated in a 56 GBaud polarization division multiplexed (PDM) 16QAM coherent experimental system. Experimental results demonstrate that the proposed scheme achieves similar BER performance to the modified Gardner + real-valued multiple-input multiple-output (RVMIMO) (@2 SPS) scheme. Moreover, the proposed scheme exhibits robustness to arbitrary IQ skew compared to the ABSPD + RVMIMO (@1 SPS) scheme.
Efficient wideband tunable RF-optical signal conversion via triply-resonant active-passive photonic molecules
Authors: SINGH MANUJ KUMAR , Zhang Xinchang , Zhang Bohan , Onural Deniz , Gevorgyan Hayk , Wang Ruocheng , Stojanovic Vladimir , Popovic Milos
Published: April 2024

Electro-optic (EO) transduction of weak radio-frequency (RF) and millimeter-wave signals, such as those received by an antenna, onto laser sidebands for processing in the optical domain requires efficient EO modulators. Microrings offer spatial density and efficiency advantages over Mach-Zehnder modulators, but conventional single-ring modulators suffer a fundamental trade-off between resonantly-enhanced conversion efficiency and the RF carrier frequency that it can accommodate. Dual-cavity ``photonic molecule'' modulators resolve this trade-off, allowing high efficiency independent of the RF carrier frequency by providing separate resonant supermodes to enhance the laser local oscillator (LO) and the narrowband RF-detuned sideband. However, the RF frequency is fixed at design time by geometry, with efficiency dropping quickly for RF carriers away from the design value. We propose a novel, triple-cavity configuration with an off-resonant middle ring acting as an effective tunable coupler between two active modulator cavities. This configuration provides wideband tunability of the target RF carrier while maintaining efficient sideband conversion. When the middle ring is passive (high Q), this configuration provides wide RF tunability with no efficiency penalty over the fixed dual-cavity case, and could become an important building block for future RF/mm-wave photonic integrated circuits.
High capacity, low power, short reach integrated silicon photonic interconnects
Authors: Netherton Andrew , Dumont Mario , Nelson Zachary , Koo Jahyun , Jhonsa Jinesh , Mo Alice , McCarthy David , Deckoff-Jones Skylar , Gao Yun , Pestana Noah , Goldstein Jordan , Shiue Ren-Jye , Poulton Christopher , Kennedy M. J. , Harrington Mark , Dong Bozhang , Bovington Jock , Frankel Michael , Theogarajan Luke , Watts Michael , Blumenthal Daniel , Bowers John E.
Published: April 2024

The architecture and component technology of a low power, high capacity, short reach optical interconnect are detailed. Measurements from high-performance 300 mm silicon photonics components that comprise the system are shown, along with a quantum-dot mode-locked laser 20-channel comb source with free space wall plug efficiencies up to 17%, advanced packaging techniques for 3D silicon photonic-electronic integration, and schematics for integrated electronics that control the photonic integrated circuits. Techniques for operating such a system in the presence of changing ambient temperature are addressed. Experiments on a 1 Tbps design are conducted with an optical link experiment indicating sub-picojoule/bit energy consumption at scale.
Spectral-interferometry-based diff-iteration for high-precision micro-dispersion measurement
Authors: Du Wei , Huang Jingsheng , Wang Yang , Zhao Maozhong , Li Juan , He Juntao , Wang Jindong , Zhang Wenfu , Zhu Tao
Published: April 2024

Precise measurement of micro-dispersion for optical devices (optical fiber, lenses, etc.) holds paramount significance across domains such as optical fiber communication and dispersion interference ranging. However, due to its complex system, complicated process, and low reliability, the traditional dispersion measurement methods (interference, phase shift, or time delay methods) are not suitable for the accurate measurement of micro-dispersion in a wide spectral range. Here, we propose a spectral-interferometry-based diff-iteration (SiDi) method for achieving accurate wide-band micro-dispersion measurements. Using an optical frequency comb, based on the phase demodulation of the dispersion interference spectrum, we employ the carefully designed SiDi method to solve the dispersion curve at any position and any order. Our approach is proficient in precisely measuring micro-dispersion across a broadband spectrum, without the need for cumbersome wavelength scanning processes or reliance on complex high-repetition-rate combs, while enabling adjustable resolution. The efficacy of the proposed method is validated through simulations and experiments. We employed a chip-scaled soliton microcomb (SMC) to compute the dispersion curves of a 14 m single-mode fiber (SMF) and a 0.05 m glass. Compared to a laser interferometer or the theoretical value given by manufacturers, the average relative error of refractive index measurement for single-mode fiber (SMF) reaches 2.8×10−6 and for glass reaches 3.8×10−6. The approach ensures high precision, while maintaining a simple system structure, with realizing adjustable resolution, thereby propelling the practical implementation of precise measurement and control-dispersion.
Temperature-driven coordination of circadian transcriptional regulation
Authors: Xu Bingxian , Hwangbo Dae-Sung , Saurabh Sumit , Rosensweig Clark , Allada Ravi , Kath William L. , Braun Rosemary
Published: April 2024

The circadian clock is an evolutionarily-conserved molecular oscillator that enables species to anticipate rhythmic changes in their environment. At a molecular level, the core clock genes induce circadian oscillations in thousands of genes in a tissue–specific manner, orchestrating myriad biological processes. While previous studies have investigated how the core clock circuit responds to environmental perturbations such as temperature, the downstream effects of such perturbations on circadian regulation remain poorly understood. By analyzing bulk-RNA sequencing ofDrosophilafat bodies harvested from flies subjected to different environmental conditions, we demonstrate a highly condition-specific circadian transcriptome: genes are cycling in a temperature-specific manner, and the distributions of their phases also differ between the two conditions. Further employing a reference-based gene regulatory network (Reactome), we find evidence of increased gene-gene coordination at low temperatures and synchronization of rhythmic genes that are network neighbors. We report that the phase differences between cycling genes increase as a function of geodesic distance in the low temperature condition, suggesting increased coordination of cycling on the gene regulatory network. Our results suggest a potential mechanism whereby the circadian clock mediates the fly’s response to seasonal changes in temperature.
Tumor-associated macrophage subtypes on cancer immunity along with prognostic analysis and SPP1-mediated interactions between tumor cells and macrophages
Authors: Xu Liu , Chen Yibing , Liu Lingling , Hu Xinyu , He Chengsi , Zhou Yuan , Ding Xinyi , Luo Minhua , Yan Jiajing , Liu Quentin , Li Hongsheng , Lai Dongming , Zou Zhengzhi
Published: April 2024

Tumor-associated macrophages (TAM) subtypes have been shown to impact cancer prognosis and resistance to immunotherapy. However, there is still a lack of systematic investigation into their molecular characteristics and clinical relevance in different cancer types. Single-cell RNA sequencing data from three different tumor types were used to cluster and type macrophages. Functional analysis and communication of TAM subpopulations were performed by Gene Ontology-Biological Process and CellChat respectively. Differential expression of characteristic genes in subpopulations was calculated using zscore as well as edgeR and Wilcoxon rank sum tests, and subsequently gene enrichment analysis of characteristic genes and anti-PD-1 resistance was performed by the REACTOME database. We revealed the heterogeneity of TAM, and identified eleven subtypes and their impact on prognosis. These subtypes expressed different molecular functions respectively, such as being involved in T cell activation, apoptosis and differentiation, or regulating viral bioprocesses or responses to viruses. The SPP1 pathway was identified as a critical mediator of communication between TAM subpopulations, as well as between TAM and epithelial cells. Macrophages with high expression of SPP1 resulted in poorer survival. By in vitro study, we showed SPP1 mediated the interactions between TAM clusters and between TAM and tumor cells. SPP1 promoted the tumor-promoting ability of TAM, and increased PDL1 expression and stemness of tumor cells. Inhibition of SPP1 attenuated N-cadherin and β-catenin expression and the activation of AKT and STAT3 pathway in tumor cells. Additionally, we found that several subpopulations could decrease the sensitivity of anti-PD-1 therapy in melanoma. SPP1 signal was a critical pathway of communication between macrophage subtypes. Some specific macrophage subtypes were associated with immunotherapy resistance and prognosis in some cancer types.
Serum brain-derived neurotrophic factor levels in type 2 diabetes mellitus patients and its association with cognitive impairment: A meta-analysis
Authors: He Wan-li , Chang Fei-xia , Wang Tao , Sun Bi-xia , Chen Rui-rong , Zhao Lian-ping
Published: April 2024

Objective

To compare the serum levels of brain-derived neurotrophic factor (BDNF) in type 2 diabetes mellitus (T2DM) patients with healthy controls (HC) and evaluate the BDNF levels in T2DM patients with/without cognitive impairment.

Methods

PubMed, EMBASE, and the Cochrane Library databases were searched for the published English literature on BDNF in T2DM patients from inception to December 2022. The BDNF data in the T2DM and HC groups were extracted, and the study quality was evaluated using the Agency for Healthcare Research and Quality. A meta-analysis of the pooled data was conducted using Review Manager 5.3 and Stata 12.0 software.

Results

A total of 18 English articles fulfilled with inclusion criteria. The standard mean difference of the serum BDNF level was significantly lower in T2DM than that in the HC group (SMD: -2.04, z = 11.19, P <0.001). Besides, T2DM cognitive impairment group had a slightly lower serum BDNF level compared to the non-cognitive impairment group (SMD: -2.59, z = 1.87, P = 0.06).

Conclusion

BDNF might be involved in the neuropathophysiology of cerebral damage in T2DM, especially cognitive impairment in T2DM.
Stochastic portfolio optimization: A regret-based approach on volatility risk measures: An empirical evidence from The New York stock market
Authors: Larni-Fooeik AmirMohammad , Sadjadi Seyed Jafar , Mohammadi Emran
Published: April 2024

Portfolio optimization involves finding the ideal combination of securities and shares to reduce risk and increase profit in an investment. To assess the impact of risk in portfolio optimization, we utilize a significant volatility risk measure series. Behavioral finance biases play a critical role in portfolio optimization and the efficient allocation of stocks. Regret, within the realm of behavioral finance, is the feeling of remorse that causes hesitation in making significant decisions and avoiding actions that could lead to poor investment choices. This behavior often leads investors to hold onto losing investments for extended periods, refusing to acknowledge mistakes and accept losses. Ironically, by evading regret, investors may miss out on potential opportunities. in this paper, our purpose is to compare investment scenarios in the decision-making process and calculate the amount of regret obtained in each scenario. To accomplish this, we consider volatility risk metrics and utilize stochastic optimization to identify the most suitable scenario that not only maximizes yield in the investment portfolio and minimizes risk, but also minimizes resulting regret. To convert each multi-objective model into a single objective, we employ the augmented epsilon constraint (AEC) method to establish the Pareto efficiency frontier. As a means of validating the solution of this method, we analyze data spanning 20, 50, and 100 weeks from 150 selected stocks in the New York market based on fundamental analysis. The results show that the selection of the mad risk measure in the time horizon of 100 weeks with a regret rate of 0.104 is the most appropriate research scenario. this article recommended that investors diversify their portfolios by investing in a variety of assets. This can help reduce risk and increase overall returns and improve financial literacy among investors.
Enhancing early autism diagnosis through machine learning: Exploring raw motion data for classification
Authors: Luongo Maria , Simeoli Roberta , Marocco Davide , Milano Nicola , Ponticorvo Michela
Published: April 2024

In recent years, research has been demonstrating that movement analysis, utilizing machine learning methods, can be a promising aid for clinicians in supporting autism diagnostic process. Within this field of research, we aim to explore new models and delve into the detailed observation of certain features that previous literature has identified as prominent in the classification process. Our study employs a game-based tablet application to collect motor data. We use artificial neural networks to analyze raw trajectories in a "drag and drop" task. We compare a two-features model (utilizing only raw coordinates) with a four-features model (including velocities and accelerations). The aim is to assess the effectiveness of raw data analysis and determine the impact of acceleration on autism classification. Our results revealed that both models demonstrate promising accuracy in classifying motor trajectories. The four-features model consistently outperforms the two-features model, as evidenced by accuracy values (0.90 vs. 0.76). However, our findings support the potential of raw data analysis in objectively assessing motor behaviors related to autism. While the four-features model excels, the two-features model still achieves reasonable accuracy. Addressing limitations related to sample size and noise is essential for future research. Our study emphasizes the importance of integrating intelligent solutions to enhance and assist autism traditional diagnostic process and intervention, paving the way for more effective tools in assessing motor skills.
The Philadelphia story: Jams and battles in Olympic shadows
Authors: Dodds Sherril , Wong Mark ‘Metal’
Published: April 2024

As breaking moves to the Olympic stage, we anticipate that the dance will succumb to increased regulation, standardization and homogenization. The modifications that occur as dance migrates from a vernacular practice to a competition framework have been well identified in dance scholarship and are evident from existing international breaking contests that feature elite dancers who tactically train for these events. Undoubtedly, its presence in the Olympics will award breaking an unprecedented degree of international visibility, funding and sponsorship, and hyper-athleticism within this sporting domain. As breaking transforms into a global spectacle for a mass audience, many of whom will be unfamiliar with its history and culture, we look to Philadelphia as an exemplar of a collectively articulated and self-regulated breaking community to question what will be erased and no longer legible. We examine the diversity of participants, the myriad of styles and abilities, dancing in shitty spaces, the intimate presence of the crowd, and unregulated behaviours to consider what might be marginalized and why that matters.
A critical inquiry into the discourses of war and occupation in the wake of the wars in Ukraine and Gaza
Authors: Barkho Leon
Published: April 2024

The aim of this article is to use one central assumption of Wittgenstein’s philosophy – language games – to review some important aspects of communication and language issues that typically have arisen in the aftermath of the wars in Ukraine and Gaza. I draw specifically on a critical inquiry of purposefully selected samples of discursive and linguistic practices accompanying the war in Ukraine and the occupation of its territory by Russia, and the war in Gaza and the occupation of Palestinian territories by Israel. References will also be made to the types of language games used by mainstream western media to categorize other wars and occupations discursively and socially, such as those of Iraq, Yemen and Afghanistan. I argue that the use of language is crucial for the understanding and representation of these wars and occupations, and a cause of failure in intercultural interaction. The central argument is as follows: While language games have different senses and not all people attach the same meaning to them, in case of conflict and controversy, those with power attach additional or different interpretations to them in a way they think is reasonable to change or at least rearrange their meanings. According to Wittgenstein’s deliberations of language games, the meaning of each of the various linguistic utterances, like words, sentences or symbols, is defined in terms of its setting and use. To unravel how and why certain linguistic practices are reinforced, and others are thwarted, the article supplements Wittgenstein’s deliberations of language with Hollihan and Baaskes’ definition of rhetorical source credibility, Thomas Hobbes’ ‘Leviathan discourse’ and Foucault’s notion of discourse and power.
A multispecies cinema of apprehension
Authors: Ghosh Bishnupriya
Published: April 2024

This essay theorizes the cinematic experience of apprehension accompanying representations of multispecies relations in the age of global pandemics. Globally synchronous experiences of cascading epidemics in the late twentieth- and early twenty-first centuries have made spectators aware of the microbes that inhabit ‘us’, the animals that carry ‘them’ and the mediums (water, air, soils) that sustain all these forms of life. In this historical situation, cinematic zoonoses generate fear, anxiety and foreboding alongside creative prehensions of living as multispecies: this is the ‘pandemic viewing condition’. I elaborate the claim in three films – Prateek Vats’s first fiction film Eeb, Allay, Ooo! (2020), Amit Datta’s artistic Saatvin Sair (The Seventh Walk) (2013) and Shaunak Sen’s documentary All That Breathes (2023) – that articulate multispecies encounters as spatial experiences. On the one hand, aesthetic compositions of cinematic zoonoses lure spectators into textured cinematic milieus of multispecies encounters, even as the protective cinematic frame provides the comfort of distance; on the other, the historical contingencies of spectatorship induce projections of cinematic surrounds where the multispecies continuum surfaces sensorily, affectively and intuitively. Together the cinematic milieu and cinematic surrounds orient spectators towards their actual living milieu, an unsettling space where neither bodily integrities nor species distinctions hold any longer.
A INTELIGÊNCIA ARTIFICIAL: novo martelo de Thor ou musa descontrolada?
Authors: Marin Davi Junqueira
Published: April 2024

A tecnologia desperta uma questão que parece sempre justificar a sua continuidade dadas as possibilidades de seu uso na programação discursiva de sua necessidade, desde sua origem nas narrativas de ficção até os últimos lançamentos da indústria de aplicativos e softwares, passando pela robótica industrial e automação de serviços. Sem definirmos uma opinião, o presente artigo pretende apenas evidenciar a questão: ao rever autores da comunicação e da sociologia, o campo da produção audiovisual também vive esse dilema, que permanece preso à mesma dialética de sempre: popularização da técnica ou a garantia de direitos para as elites do trabalho?
WAYFINDER: UMA VIAGEM ANIMADA PELA TERRA DA POESIA GERADA PELA INTELIGÊNCIA ARTIFICIAL
Authors: Capper Maria Gabriela , Viana Pedro Luis Alves de Souza
Published: April 2024

O desenvolvimento tecnológico acelerado está remodelando diversos aspectos da vida contemporânea, desafiando a sociedade a integrar o mundo físico e o digital. No campo do cinema e do audiovisual, as tecnologias digitais têm impulsionado a criação de formas cinemáticas diversas e interativas. Autores como Jeffrey Shaw destacam a interatividade digital como uma nova dimensão no processo criativo. A relação entre cinema e jogos digitais é evidente, com influências mútuas ao longo do tempo. O artigo analisa o art game Wayfinder, explorando como a inteligência artificial foi empregada em sua criação, conectando os conceitos de cinema digitalmente expandido e artemídia, e investiga seu potencial no campo da educação. Wayfinder, inspirado no haikai japonês, convida os jogadores a restaurar o equilíbrio da natureza, oferecendo uma experiência única e imersiva. Utilizando algoritmos generativos, inteligência artificial e mineração de dados, o jogo é uma ferramenta educativa envolvente, capaz de despertar reflexões sobre o meio ambiente através de poesia. Considerando o potencial transformador da ludicidade na educação, Wayfinder emerge como uma ferramenta pedagógica inovadora, promovendo uma aprendizagem significativa e interdisciplinar.
AUDIOVISUAL E INTELIGÊNCIA ARTIFICIAL: FERRAMENTAS AUTÔNOMAS NA PRODUÇÃO DE CONTEÚDO
Authors: Médola Ana Silvia Lopes Davi , Oliveira Vinicius Laureto de , Pereira Henrique da Silva
Published: April 2024

As ferramentas digitais com recursos baseados em análises de dados e inteligência artificial abrem perspectivas de transformações no âmbito do audiovisual. Com o objetivo de refletir sobre experiências na utilização da inteligência artificial na produção de conteúdos audiovisuais o presente trabalho analisa projetos derivados, total ou parcialmente, da geração de textos autônomos, por meio de processamento de linguagem natural e recursos de visão computacional. No estágio das experiências analisadas observou-se limitações importantes no processo de tratamento de dados não estruturados e identificação de padrões por ferramentas de análise de texto e imagem. Com base na semiótica discursiva, o artigo aponta que embora a produção de sentido nesses conteúdos apresente lacunas não compromete o contrato de comunicação.
Iparpolitika Közép-Európában – geopolitikai lehetőségek a rendszerváltozás tanulságainak tükrében – Kerekasztal-beszélgetés Artner Annamária professzorral, Gracjan Cimek professzorral, Dragana Mitrovic professzorral, Bruno Drweski professzorral és Kovács Eszterrel
Authors: Világpolitika és Közgazdaságtan  , Artner Annamária , Cimek Gracjan , Mitrovic Dragana , Drweski Bruno
Published: April 2024

Az iparpolitika formálásában és az ezt megalapozó elméleti megközelítésekben a neoliberális gondolkodásmód egyre inkább háttérbe kerül, miközben a közép-európai országok fontos, az iparpolitikát és a hosszú távú gazdaságpolitikát érintő fordulat előtt állnak. Hozzájárulva a globális folyamatok és benne régiónk, a V4, a Baltikum és a Nyugat-Balkán térségében zajló folyamatok feltárásához, valamint a jelenlegi kihívásoknak megfelelő elméleti háttér bemutatásához, a Köz-Gazdaság Folyóirat 2023 novemberében egy iparpolitikai kerekasztal-beszélgetést rendezett a közép-európai régió neves szakértőivel. Az alábbi írás ennek a beszélgetésnek az egyszerűsített leiratát tartalmazza.
A gazdaságpolitika oktatásának elsorvadásáról – Mit tehetünk?
Authors: Veress József
Published: April 2024

A gazdaságpolitika oktatásának térvesztése szembetűnő. Kötelező stúdiumként alig néhány képzési helyen maradt meg a gazdasági és kereskedelmi felsőoktatásban. A tárgy ismeretkörének komplex volta, pontosabban a vonatkozó tananyag ismerete nagymértékben segíthetné a közgazdász hallgatók értelmiséggé válását. A magyar gazdasági tárgyú belpolitikai viták többsége az egyes gazdaságpolitikai iskolák, modellek meg nem értéséből fakad. Politikai preferenciájuktól függetlenül a gazdaságpolitikailag képzett hallgatók sokkal jobban el tudnak igazodni a világpolitika mindennapjaiban, mint a többiek. A gazdaságpolitika oktatási súlyának növekedését több tényező akadályozza.
CHANGES IN PHYSIOLOGICAL PROPERTIES OF

ACER CAMPESTRE WITH RISING HEAT IN 2022
Authors: Khan Ramla
Published: April 2024

In 2022 UK saw very hot seaon and I was lucky enough to collect physiology data that year on eight experimental trees on site of Open University. That data was instrumental in observing the change onmicroscopic level inside the leaf during three major heatwave events.
Effect of Temperature Variation on Maximum Fluorescence (Fm) in Acer Campestre
Authors: Khan Ramla
Published: April 2024

This poster is about the controlled exxperiment I performed inside the lab by manipulating the temperature values for the plant samples inside a water bath and observing their Fv/Fm values. The pupose of this work was to evaluate the heat tolerence utilizingchlorophyll a fluorescence, Leaf impairment is gauged either through the temperature-sensitive augmentation of the reduction in the variable to maximum fluorescence ratio (Fv/Fm), indicative of potential photosystem II (PSII) efficiency. Chlorophyll a fluorescence emission is influenced not solely by the physiochemical characteristics of PSII but also by leaf optical properties, including light absorption levels by leaves and PSII reaction centres. In instances where a stressor impacts leaf optical properties independently of physiochemical traits, such as under high temperatures (Takahashi and Badger, 2011), the utilization of fluorescence ratios (Fv/Fm) over absolute values (F0) is recommended, as ratios are prone to nullify potential inaccuracies (Baker, 2008).
Exploring the Root of Educational Transformation: A Genealogical Study of Embedded Technology in Teaching and Learning.
Authors: Alamu Mariam
Published: April 2024

This study analyzes the evolution of technology in education, beginning with simple instruments and theories that are used to determine how far technology has progressed in teaching. This study investigates the history of teaching, accessibility, and student engagement through the use of technology. A thorough historical examination shows that embedded technology has transformed teaching and learning. Education has evolved from audio-visual aids to digital technologies that are now ubiquitous. This study aims to discuss numerous methods for educating students. The goal of this project is to trace the evolution of technology in education to more inclusive and successful educational practices for the present era.As such, the findings and implications will enhancedebate on future directions in educational technologies among educators, policy makers and academics.

Keywords: Digital innovation; learner participation; historical analysis; pedagogical change; educational technology
Cross-cultural examination of 3D modelling and 3D printing in STEAM education: comparing results from teachers in Montenegro and Austria
Authors: Ulbrich Eva , Da Cruz Marjorie , Anđić Branko , Tejera Mathias , Dana-Picard Noah Thierry , Lavicza Zsolt
Published: April 2024

Integrating 3D modelling and printing in STEAM education presents opportunities and challenges for teachers, particularly those in some European countries where its adoption in schools still needs to be improved. This article presents findings from a cross-cultural examination of 3D modelling and printing in STEAM education, showing results from teachers in Montenegro and Austria. The study aimed to gather insights into teachers’ perceptions of 3D modelling and printing, ideas for its implementation and the challenges teachers face. Data were collected through questionnaires, interviews and examples of 3D modelling and printing use. They were subsequently analysed to identify similarities and differences in the impressions and use of the technology. The findings indicate that teachers in both Montenegro and Austria expressed interest in using 3D modelling and printing for STEAM teaching purposes and saw potential for connecting to subjects, such as digital literacy. However, they also identified software-related challenges, time constraints and training and financial difficulties when adopting 3D modelling and printing. The slow adoption of 3D modelling and printing in schools suggests that teachers should be better supported in using this technology, considering external and internal influences such as teacher training, local culture and availability of technology. Furthermore, the study highlights the need for suitable measures for teacher training and ensuring access to technologies necessary for 3D modelling and printing.
Reproductive medicine news. Digest of publications for 2023, issue 2
Authors: Barmina I. I.
Published: April 2024

This issue of reproductive medicine news presents the second part of most relevant meta-analyses, reviews, prospective researches data, as well as innovative methods in the treatment of diseases of the reproductive system, presented in leading international periodicals in 2023. The briefly formulated list of topics contains such actual problems as: influence of active growing intramural myoma on IVF outcomes; birth rate after treatment of cancer and haemopoietic stem cell transplantation; chromosomal, gestational and neonatal outcomes of mosaic embryos with verified aneuploidy; artificial intelligence using in process of sperm selection for assisted reproductive technologies and personalized probiotic therapy of vaginal dysbiosis.
CINCA/NOMID is a rare autoinflammatory syndrome in rheumatological practice. Experience of diagnosis, management and therapy with interleukin-1 inhibitors
Authors: Salugina S. O. , Fedoro E. S. , Torgashina A. V.
Published: April 2024

Objective: to present the experience of diagnosis, management and therapy with interleukin-1 inhibitors (iIL1) in patients with Chronic Infantile Onset Neurologic Cutaneous Articular/Neonatal Onset Multisystem Inflammatory Disease (CINCA/NOMID) according to the Russian Federal Rheumatological Center data.

Material and methods. From 2007 to 2023, eight patients were included in the study (7 men) aged 10 months to 33 years, including 3 with a disease duration of more than 10 years (13, 17 and 33 years). Genetic testing was performed in all patients and mutations in the NLRP3 gene were identified in 6 cases.

Results and discussion. The age of onset of the disease ranged from 0 to 6 months. The delay in diagnosis and prescription of therapy ranged from 10 months to 33 years. All patients had the classic manifestations of CINCA/NOMID, including fever, rash, central nervous system (CNS) involvement, elevated ESR and CRP levels, 6 patients had articular manifestations, 7 had ocular manifestations and 6 had sensorineural hearing loss. Amyloidosis was detected in 1 case. All patients were prescribed iIL1. Anakinra was used in 6 patients (in 5 as the first line, in 1 as the second line therapy) with a positive response; subsequently 2 of these patients were switched to canakinumab once every 4 weeks (1 patient deteriorated and was readministered anakinra). Five patients received canakinumab (3 as first-line therapy, 2 as second-line therapy), 1 patient was switched to anakinra due to insufficient CNS response. The response to iIL1 therapy was positive in all patients, but incomplete in some of them due to the severity of the manifestations and the presence of irreversible organ damage.

Conclusion. Patients with CINCA/NOMID have a severe disease and a poor prognosis. In this context, early administration of iIL1 is necessary. In the case of CNS involvement, the use of anakinra is preferable, as it is characterized by better penetration of the blood-brain barrier and is therefore more effective. Later it is possible to switch the patient to canakinumab, however, to achieve a complete response, it is sometimes necessary to increase the dose of the drug and reduce the interval between doses.
Comparative analysis of the efficacy of seniprutug (BCD-180) and adalimumab in the treatment of active radiographic axial spondyloarthritis: results of a systematic review and matching-adjusted indirect comparison
Authors: Lila A. M. , Dubinina T. V. , Tolkacheva D.  G. , Sapozhnikov K. V. , Sableva N. A. , Morozova M. A. , Pukhtinskaia P. S.
Published: April 2024

Objective: to compare the clinical efficacy of seniprutug (BCD-180) and adalimumab (ADA) in the treatment of adults with active radiographic axial spondyloarthritis (r-axSpA).

Materials and methods. Based on the results of a previously conducted systematic review, an unanchored matching-adjusted indirect comparison (MAIC) was performed, adjusting for confounding factors. The analysis was based on the results of randomized placebo-controlled clinical trials of seniprutug (BCD-180-2/ELEFTA, NCT05445076) and ADA (ATLAS, NCT00085644) that met the selection criteria. We chose ASAS40 and ASAS20 measurements at week 24 as efficacy outcomes. Initial BASDAI and BASFI indices, proportion of women in the study population, time from disease onset, and baseline C-reactive protein (CRP) levels were considered as confounders.

Results and discussion. The MAIC showed a statistically significant advantage in the clinical efficacy of seniprutug (BCD-180) over ADA. When adjusted, the odds ratios (OR) with 95% confidence intervals (CI) for seniprutug (BCD-180)/ADA were 1.86 (1.15; 3.02) and 2.21 (1.34; 3.72) for ASAS40 and ASAS20, respectively, at week 24.

Conclusion. The MAIC demonstrated statistically significant superiority of seniprutug (BCD-180) over ADA on the key efficacy endpoints ASAS40 and ASAS20 at week 24 in adults with active r-axSpA. The inclusion of the innovative domestic drug seniprutug into treatment paradigm of active r-axSpA will potentially reduce the socio-economic burden of this disease by providing an affordable, effective and safe therapy while optimizing healthcare costs