bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing Early Growth of Laminaria hyperborea in Controlled Settings: A Pathway to Improved Restoration Efforts
Authors: Chemello Sílvia , Coutinho Ana , Sá M. Francisca , Borges Débora , Arenas Francisco , Sousa-Pinto Isabel , Costa Isabel
Published: January 2025

Laminaria hyperborea, a key species in marine forest ecosystems, is experiencing pressure at its southern distribution limit in northern Portugal due to climate change and human-induced stressors. The ongoing degradation of marine forests highlights the need for effective restoration strategies to protect biodiversity and maintain the essential services provided by these habitats. Cultivation of juvenile kelps in laboratory settings is a common approach shared across multiple strategies aimed at supporting reforestation efforts; however, the specific cultivation process for L. hyperborea remains largely underexplored. In this study, we tested two seeding densities to optimize the production of L. hyperborea recruits for reforestation initiatives. We assessed the effects of seeding density on juvenile development by measuring both area coverage and length. Our findings revealed that higher seeding density initially promoted greater area coverage (e.g., 8.69 ± 0.38 cm2 vs. 3.35 ± 0.27 cm2) but reduced the length of individual recruits over time (e.g., 0.26 ± 0.0026 cm vs. 0.39 ± 0.003 cm at T3). This suggests that increased competition for resources at high densities limits individual growth. In contrast, lower densities produced larger, more robust individuals (e.g., 0.50 ± 0.004 cm vs. 0.262 ± 0.003 cm at T4), which may enhance post-transplantation survival in challenging environmental conditions. This suggests that utilizing lower seeding densities may improve individual growth while decreasing overall resource use and maintenance needs, promoting a more sustainable cultivation process and minimizing impacts on donor populations. However, further research is essential to refine the cultivation protocols and fully understand the variables influencing juvenile kelp development. Improving all phases of the restoration process, from laboratory cultivation to field deployment, will be critical for reducing costs, streamlining logistics, and ensuring the scalability of future kelp restoration efforts.
Exploring the Optoelectronic Properties and Solar Cell Performance of Cs2SnI6−xBrx Lead-Free Double Perovskites: Combined DFT and SCAPS Simulation
Authors: Rezini B. , Seddik T. , Batouche M. , Abdallah H. Ben , Ouerghui W. , Salah Mostafa M. , Ahsan Muhammad , Shaker Ahmed , Al-Muhimeed Tahani I. , Saeed Ahmed , Mousa Mohamed
Published: January 2025

This paper presents detailed results regarding the physical behavior of Cs2SnI6−xBrx alloys for their potential use in photovoltaic applications. Numerical computations based on density functional theory (DFT) revealed that Br substitution at I sites significantly influenced the electronic structure of Cs2SnI6, resulting in an increase in bandgap values from 1.33 eV to 2.24 eV. Additionally, we analyzed the optical properties, including the absorption coefficient, which exhibited high values in the visible light region, highlighting the material’s excellent light-trapping abilities. Moreover, Cs2SnI6−xBrx compounds were employed as absorber materials in an fluorine-doped tin oxide (FTO) TiO2/Cs2SnI6/P3HT/Ag perovskite solar cell (PSC) to investigate its performance. The simulation process consisted of two interconnected steps: (i) the DFT calculations to derive the material properties and (ii) the SCAPS–1D (one-dimensional (1D) solar cell capacity simulator) simulation to model device performance. To ensure reliability, the SCAPS–1D simulation was calibrated against experimental data. Following this, Cs2SnI6−xBrx compound with various ratios of Br content, ranging from 0 to 6, was investigated to propose an efficient solar cell design. Furthermore, the cell structure was optimized, resulting in a development in the power conversion efficiency (PCE) from 0.47% to 3.07%.
Impact of Polystyrene Microplastics on Soil Properties, Microbial Diversity and Solanum lycopersicum L. Growth in Meadow Soils
Authors: Liu Shuming , Suo Yan , Wang Jinghuizi , Chen Binglin , Wang Kaili , Yang Xiaoyu , Zhu Yaokun , Zhang Jiaxing , Lu Mengchu , Liu Yunqing
Published: January 2025

The pervasive presence of microplastics (MPs) in agroecosystems poses a significant threat to soil health and plant growth. This study investigates the effects of varying concentrations and sizes of polystyrene microplastics (PS-MPs) on the Solanum lycopersicum L.’s height, dry weight, antioxidant enzyme activities, soil physicochemical properties, and rhizosphere microbial communities. The results showed that the PS0510 treatment significantly increased plant height (93.70 cm, +40.83%) and dry weight (2.98 g, +100%). Additionally, antioxidant enzyme activities improved across treatments for S. lycopersicum L. roots. Physicochemical analyses revealed enhanced soil organic matter and nutrient levels, including ammonium nitrogen, phosphorus, and effective potassium. Using 16S rRNA sequencing and molecular ecological network techniques, we found that PS-MPs altered the structure and function of the rhizosphere microbial community associated with S. lycopersicum L. The PS1005 treatment notably increased microbial diversity and displayed the most complex ecological network, while PS1010 led to reduced network complexity and more negative interactions. Linear discriminant analysis effect size (LEfSe) analysis identified biomarkers at various taxonomic levels, reflecting the impact of PS-MPs on microbial community structure. Mantel tests indicated positive correlations between microbial diversity and soil antioxidant enzyme activity, as well as relationships between soil physicochemical properties and enzyme activity. Predictions of gene function revealed that PS-MP treatments modified carbon and nitrogen cycling pathways, with PS1005 enhancing methanogenesis genes (mcrABG) and PS1010 negatively affecting denitrification genes (nirK, nirS). This study provides evidence of the complex effects of PS-MPs on soil health and agroecosystem functioning, highlighting their potential to alter soil properties and microbial communities, thereby affecting plant growth.
Exploring the Potential of Selenium-Containing Amine (Se-AMA) to Enhance Photosynthesis and Leaf Water Content: New Avenues for Carbonic Anhydrase Modulation in Arabidopsis thaliana
Authors: Beltrami Sara , Alderotti Francesca , Capperucci Antonella , Tanini Damiano , Brunetti Cecilia , Ferrini Francesco , Lo Piccolo Ermes , Gori Antonella
Published: January 2025

Global changes and growing demands have led to the development of new molecular approaches to improve crop physiological performances. Carbonic anhydrase (CA) enzymes, ubiquitous across various life kingdoms, stand out for their critical roles in plant photosynthesis and water relations. We hypothesize that the modulators of human CAs could affect plant physiology. Our research demonstrated that foliar treatments with a synthetic selenium-containing CA activator (Se-AMA) influenced the physiological performances of Arabidopsis thaliana. Se-AMA increased net photosynthesis (A + 31.7%) and stomatal conductance (gs + 48.2%) at 100 µM, with the most notable effects after 10 days of treatment. Se-AMA at 300 µM proved to be even more effective, boosting A and gs by 19.9% and 55.3%, respectively, already after 3 days of application. Morning treatment with Se-AMA at 300 µM enhanced photosynthetic performances throughout the day, suggesting that the positive effect of Se-AMA lasted for several hours. Additionally, Se-AMA increased water content in plants by 17.1%, suggesting that Se-AMA treatment may have improved plant water absorption and resource management. This effect might be linked to Se-AMA’s role in modulating specific CA isoforms working with aquaporins. Although preliminary, these findings suggest that Se-AMA could enhance plant physiological performances under the conditions of non-limiting water availability.
The Impact of High-Speed Crushing Process of Fibrous Polytetrafluoroethylene on Pyrolyzed Carbon Black/Natural Rubber Composites
Authors: Gong Zheng , Xiao Yao , Zhou Yukun , Zhu Donglin , Dai Baochang , Wang Ziyang , Wang Chuansheng , Bian Huiguang
Published: January 2025

This study employed a high-speed rotating crushing process to modify pyrolyzed carbon black (CBp) using self-lubricating and low-friction polytetrafluoroethylene (PTFE). The effects of PTFE content on the dispersion, mechanical properties, wear resistance, and thermal stability of modified PTFE-CBp/natural rubber (NR) composites were investigated. The rotating crushing process from the high-speed grinder altered the physical structure of PTFE, forming tiny fibrous structures that interspersed among the CBp particles. This arrangement encouraged the alignment of CBp particles in specific directions and improved the surface activity of CBp, enhancing the dispersion of CBp within the NR matrix and consequently improving wear resistance. The experimental results indicated that as the amount of PTFE fibers increased, the hardness, wear resistance, and thermal stability of the PTFE-CBp/NR composite significantly improved. Compared to untreated CBp/NR composites, the hardness, modulus at 300%, and wear resistance of the 3 phr PTFE-CBp/NR composites increased by 20%, 24%, 21%, respectively, achieving the preparation of highly wear-resistant CBp/NR composites.
Evaluating Oil Palm Trunk Biochar and Palm Oil as Environmentally Friendly Sustainable Additives in Green Natural Rubber Composites
Authors: Chueangchayaphan Narong , Tarasin Manop , Phonjon Wimonwan , Chueangchayaphan Wannarat
Published: January 2025

This research examines the possibility of palm oil and oil palm trunk biochar (OPTB) from pyrolysis effectively serving as alternative processing oils and fillers, substituting petroleum-based counterparts in natural rubber (NR) composites. Chemical, elemental, surface and morphological analyses were used to characterize both carbon black (CB) and OPTB, by using Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Brunauer–Emmett–Teller (BET) gas porosimetry, and scanning electron microscopy (SEM). The influences of OPTB contents from 0 to 100 parts per hundred rubber (phr) on thermal, dielectric, dynamic mechanical, and cure characteristics, and the key mechanical properties of particulate NR-composites were investigated. OPTB enhanced the characteristics of the composites, as demonstrated by a rise in dielectric constant, thermal stability, storage modulus, glass transition temperature (Tg), hardness and modulus at 300% elongation, along with a decrease in the loss tangent (tan δ). Tear strength exhibited an increase with OPTB content up to a specific threshold, whereas tensile strength and elongation at break declined. This implies a compromise between the various mechanical properties when incorporating OPTB as a filler. This work supports the potential application of OPTB as a renewable substitute for CB in the rubber industry, particularly in tire production and other industrial rubber applications, which would also bring environmental, sustainability, and economic benefits for the palm oil-related industry.
Synthesis of Cellulose-Based Fluorescent Carbon Dots for the Detection of Fe(III) in Aqueous Solutions
Authors: Magagula Lindokuhle P. , Masemola Clinton M. , Motaung Tshwafo E. , Moloto Nosipho , Linganiso-Dziike Ella C.
Published: January 2025

The need for eco-friendly, cost-effective, and scalable methods to synthesize carbon quantum dots (CQDs) remains a critical goal in nanotechnology. In this work, nitrogen-doped carbon quantum dots (N-CQDs) were successfully synthesized using cellulose nanocrystals (CNCs) derived from microcrystalline cellulose (MCC) and urea through a rapid one-step microwave-assisted method. The use of renewable cellulose as a precursor aligns with sustainable practices, offering a pathway to transform agricultural waste into valuable nanomaterials. Characterized by TEM, XRD, Raman, XPS, and PL spectroscopy, the N-CQDs demonstrated outstanding optical properties, including strong excitation-dependent fluorescence with an emission maximum at 420 nm. The N-CQDs exhibited exceptional selectivity and sensitivity toward Fe3+, achieving a detection limit of 75 nM. Additionally, the pH-dependent fluorescence and stability in diverse conditions highlight the N-CQDs’ versatility in environmental monitoring. This study establishes a foundation for using agricultural waste to produce high-performance nanostructures for sensing applications, advancing green nanotechnology and environmental solutions.
Dynamic Decoupled Current Control for Smooth Torque of the Open-Winding Variable Flux Reluctance Motor Using Integrated Torque Harmonic Extended State Observer
Authors: Aouiche El Moundher , Liu Xu , Aouiche Abdelaziz , Hassan Mustafa Alrayah , Aguida Mohammed Echarif , Khan Junaid Ali , Cao Yang
Published: January 2025

Variable Flux Reluctance Machines (VFRMs) face multiple interconnected challenges that limit their performance, particularly in high-performance applications such as electric vehicles (EVs), where smooth torque output and robust operation are critical. Chief among these challenges are complex inter-axis couplings, including cross-coupling in the dq-axis, differential term coupling in the d0-axis, and disturbances propagating from the 0-axis to the q-axis. Additionally, harmonic disturbances associated with torque ripple exacerbate performance issues, resulting in degraded dynamic behavior. These challenges hinder current loop controllers, preventing effective management of winding impedance voltage drops and inter-axis coupling terms without advanced decoupling strategies. To address these challenges, this paper proposes a novel integrated torque harmonic extended state observer (ITHESO) within a decoupled current control designed to ensure fast and accurate current tracking, system stability, and torque ripple reduction. The ITHESO identifies and compensates for total current disturbances, including harmonic components, through feed-forward compensation within the current loop. Furthermore, the influence of control parameters and the effects of parameter mismatches on stability, torque ripple reduction, and disturbance rejection are thoroughly analyzed. Experimental validations demonstrate that the proposed strategy significantly enhances torque dynamics and reduces torque ripple, outperforming the conventional Active Disturbance Rejection Control (ADRC), which does not explicitly address disturbances associated with torque ripple. These advancements position the VFRM with the ITHESO as a competitive option for high-performance EV propulsion systems, offering smooth operation, noise reduction, and reliable performance under varying speeds and loads.
Steam Generator Maintenance Robot Design and Obstacle Avoidance Path Planning
Authors: Yuan Fengwei , Ren Gengzhen , Deng Qian , Wang Xiangjiang
Published: January 2025

To solve the issue of inconvenient and dangerous manual operation during the installation and removal of the main pipe plugging plate in the steam generator in nuclear power plants, a ten-degree-of-freedom plugging robot was designed in the present study that includes a collaborative robotic arm coupled with a servo electric cylinder. By establishing a joint coordinate system for the robot model, a D-H parameter model for the plate plugging robot was established, and the forward and inverse kinematics were solved. The volume level approximate convex decomposition algorithm was used to fit the steam generator model with a convex packet, and an experimental simulation platform was constructed. Lastly, path planning was carried out by using the RRT algorithm, with the paths divided into three phases for analysis. The simulation results show that the path in the first stage is relatively smooth, and the parameter changes in each joint are relatively stable. The path in the second stage exhibits zigzagging, with the parameter change curve of joint 9 being particularly evident, and the path in the third stage still exhibits zigzagging—the parameter change curves of joints 3 and 10 are particularly evident. The results of the present study show that, although the paths show a certain degree of zigzagging in complex environments, the plate plugging robot is still able to automatically complete the plate plugging task while avoiding obstacles, which greatly reduces the risk posed to the operator when exposed to a high-radiation environment, in addition to having certain research and application value.
An Improved Speed Sensing Method for Drive Control
Authors: Arahal Manuel R. , Satué Manuel G. , Martínez-Heredia Juana M. , Colodro Francisco
Published: January 2025

Variable-speed electrical drive control typically relies upon a two-loop scheme, one for torque/speed and another for stator current control. In modern drive control methods, the actual mechanical speed is needed for both loops. In practical applications, the speed is often acquired by incremental rotary encoders. The most used method derives speed from an encoder pulse count during a fixed amount of time. It is known that this sensing method produces time delay in the speed feedback loop as well as fluctuations in the speed measurements. Time lags produce phase loss that has potentially negative effects on the overall drive performance. Nevertheless, the pulse counting method is favored in most cases due to its simplicity and existing support for its use in digital signal processors. In this paper, a new speed sensing method is proposed to reduce time lag without incurring increased fluctuations. The proposal uses a novel transient detector to determine the actual operational regime of the drive: transient or stationary. Transient detection is not based on measured speeds but works directly with the train of incoming encoder pulses. The method is designed to work well with established digital signal processor routines. The proposal is assessed through experimentation on a real five-phase induction motor.
Spectrum Sensing in Very Low SNR Environment Using Multi-Scale Temporal Correlation Perception with Residual Attention
Authors: Hong Song , Xu Weiqiang
Published: January 2025

Spectrum sensing is recognized as a viable strategy to alleviate the scarcity of spectrum resources and to optimize their usage. In this paper, considering the time-varying characteristics and the dependence on various timescales within a time series of samples composed of in-phase (I) and quadrature (Q) component signals, we propose a multi-scale time-correlated perceptual attention model named MSTC-PANet. The model consists of multiple parallel temporal correlation perceptual attention (TCPA) modules, enabling us to extract features at different timescales and identify dependencies among features across various timescales. Our simulations show that MSTC-PANet significantly improves the detection of channel occupancy at low signal-to-noise ratios (SNR), particularly in untrained scenarios with lower SNR conditions and modulation uncertainties. The analysis of the ROC curve indicates that at an SNR of -20 dB, the proposed MSTC-PANet achieves a detection rate of 98% with a false alarm rate of 10%. Furthermore, MSTC-PANet, which has been trained using digital modulation techniques, also demonstrates applicability to analog modulation.
The Role of Autophagy in Copper-Induced Apoptosis and Developmental Neurotoxicity in SH-SY5Y Cells
Authors: Lu Lu , Zhang Ying , Shi Wei , Zhou Qian , Lai Zhuoqi , Pu Yuepu , Yin Lihong
Published: January 2025

Copper (Cu) is a global environmental pollutant that poses a serious threat to humans and ecosystems. Copper induces developmental neurotoxicity, but the underlying molecular mechanisms are unknown. Neurons are nonrenewable, and they are unable to mitigate the excessive accumulation of pathological proteins and organelles in cells, which can be ameliorated by autophagic degradation. In this study, we established an in vitro model of Cu2+-exposed (0, 15, 30, 60 and 120 μM) SH-SY5Y cells to explore the role of autophagy in copper-induced developmental neurotoxicity. The results showed that copper resulted in the reduction and shortening of neural synapses in differentiated cultured SH-SY5Y cells, a downregulated Wnt signaling pathway, and nuclear translocation of β-catenin. Exposure to Cu2+ increased autophagosome accumulation and autophagic flux blockage in terms of increased sequestosome 1 (p62/SQSTM1) and microtubule-associated protein 1 light chain 3B (LC3B) II/LC3BI expressions and inhibition of the phosphatidylinositol 3-kinase (PI3K)/Akt/mTOR pathway. Furthermore, copper induced apoptosis, characterized by increased expressions of Bcl2 X protein (Bax), caspase 3, and Poly (ADP-ribose) polymerase (PARP) and decreased expression of B-cell lymphoma 2 (Bcl2). Compared with the 120 μM Cu2+ exposure group alone, autophagy activator rapamycin pretreatment increased expression of Wnt and β-catenin nuclear translocation, decreased expression of LC3BII/LC3BI and p62, as well as upregulated expression of Bcl2 and downregulated expressions of caspase 3 and PARP. In contrast, after autophagy inhibitor chloroquine pretreatment, expressions of Wnt and β-catenin nuclear translocation were decreased, expression levels of LC3BII/LC3BI and p62 were upregulated, expression of Bcl2 was decreased, while expression levels of caspase 3, Bax, and PARP were increased. In conclusion, the study demonstrated that autophagosome accumulation and autophagic flux blockage were associated with copper-induced developmental neurotoxicity via the Wnt signaling pathway, which might deepen the understanding of the developmental neurotoxicity mechanism of environmental copper exposure.
Updated Nematocyst Types in Tentacle of Venomous Box Jellyfish, Chironex indrasaksajiae (Sucharitakul, 2017) and Chiropsoides buitendijki (Horst, 1907) (Cnidaria, Cubozoa) in Thai Waters
Authors: Yasanga Thippawan , Wunnapuk Klintean , Phuackchantuck Rochana , Thaikruea Lakkana , Achalawitkun Thunyaporn , Rungraung Purinat , Santidherakul Sineenart
Published: January 2025

The multiple-tentacle box jellyfish, Chironex indrasaksajiae (Sucharitakul, 2017) and Chiropsoides buitendijki (Horst, 1907), are venomous species found in Thai waters. They are responsible for numerous envenomations through their stinging organelles, nematocysts. These specialized microscopic structures discharge venom, yet detailed knowledge of their types and morphology in these species remains limited. This study updates the characterization of nematocyst types and features in C. indrasaksajiae and C. buitendijki using light and scanning electron microscopy for detailed examination. Four distinct nematocyst types were identified: banana-shaped microbasic p-mastigophores, oval-shaped microbasic p-rhopaloids, sub-spherical microbasic p-rhopaloids, and rod-shaped isorhizas. In C. indrasaksajiae, banana-shaped microbasic p-mastigophores exhibited significant intraspecific variability, ranging from 30.26 µm to 102.56 µm in length and 6.42 µm to 17.01 µm in width. Conversely, C. buitendijki showed a narrower size range, 72.17 µm to 98.37 µm in length and 10.73 µm to 16.48 µm in width, based on multiple individuals. The size ranges for the other nematocyst types were consistent across both species. This study enhances the understanding of nematocyst morphology in these box jellyfish, providing a foundation for further research on venom delivery mechanisms and improved management of jellyfish envenomations in Thai waters.
Dynamic Roles of RNA and RNA Epigenetics in HTLV-1 Biology
Authors: King Emily M. , Panfil Amanda R.
Published: January 2025

Since the discovery of RNA in the early 1900s, scientific understanding of RNA form and function has evolved beyond protein coding. Viruses, particularly retroviruses like human T-cell leukemia virus type 1 (HTLV-1), rely heavily on RNA and RNA post-transcriptional modifications to regulate the viral lifecycle, pathogenesis, and evasion of host immune responses. With the emergence of new sequencing technologies in the last decade, our ability to dissect the intricacies of RNA has flourished. The ability to study RNA epigenetic modifications and splice variants has become more feasible with the recent development of third-generation sequencing technologies, such as Oxford nanopore sequencing. This review will highlight the dynamic roles of known RNA and post-transcriptional RNA epigenetic modifications within HTLV-1 biology, including viral hbz, long noncoding RNAs, microRNAs (miRNAs), transfer RNAs (tRNAs), R-loops, N6-methyladenosine (m6A) modifications, and RNA-based therapeutics and vaccines.
Addressing the Scientific Gaps Between Life Cycle Thinking and Multi-Criteria Decision Analysis for the Sustainability Assessment of Electric Vehicles’ Lithium-Ion Batteries
Authors: Tournaviti Maria , Vlachokostas Christos , Michailidou Alexandra V. , Savva Christodoulos , Achillas Charisios
Published: January 2025

Electric vehicles can substantially lower the overall carbon footprint of the transportation sector, and their batteries become key enablers of widespread electrification. Although high capacity and efficiency are essential for providing sufficient range and performance in electric vehicles, they can be compromised by the need to lower costs and environmental impacts and retain valuable materials. In the present work, multi-criteria decision analysis was adopted to assess the sustainability of different lithium-ion batteries. Life cycle carbon emissions and toxicity, material criticality, life cycle costs, specific energy, safety, and durability were considered in the analysis as key parameters of the transition to electric mobility. A subjective approach was chosen for the weight attribution of the criteria. Although certain alternatives, like lithium nickel cobalt manganese oxide (NCM) and lithium nickel cobalt aluminum oxide (NCA), outweigh others in specific energy, they lack in terms of safety, material preservation, and environmental impact. Addressing cost-related challenges is also important for making certain solutions competitive and largely accessible. Overall, while technical parameters are crucial for the development of lithium-ion batteries, it is equally important to consider the environmental burden, resource availability, and economic factors in the design process, alongside social aspects such as the ethical sourcing of materials to ensure their sustainability.
Efektivitas Kerjasama China dan Brazil: Studi Kasus Ketenagakerjaan Brazil di Belo Monte
Authors: Bernad Katherina Nikita , Dewi Elisabeth
Published: January 2025

China, sebagai negara maju, menjalin kerjasama bilateral dengan Brazil melalui investasi di proyek Belo Monte. Artikel jurnal ini membahas lebih lanjut mengenai keefektifan proyek Belo Monte hasil garapan kerjasama antara China dan Brazil. Berlandaskan teori konstruktivis, kerjasama ini tidak hanya didasarkan pada kepentingan kedua negara, tetapi juga melibatkan penerapan aturan dan norma yang mengakui isu-isu seperti kekerasan, konflik, dan permasalahan ras. Penilaian terhadap proyek Belo Monte, yang mengikuti kriteria dari World Bank Group mencakup aspek seperti upah, durasi kerja, kejelasan kontrak, beban kerja, dan keselamatan tenaga kerja ini menunjukkan bahwa proyek Belo Monte ini berhasil dalam mengelola aspek-aspek yang diberikan oleh World Bank Group ini. Proyek Belo Monte melalui teori konstruktivis dinilai cukup efektif dan mampu memenuhi serta melindungi hak asasi individu yang terlibat di dalam proyeknya serta sejalan dengan prinsip-prinsip konstruktivisme yang diterapkan dalam kerjasama bilateral antara China dan Brazil. Kata kunci — Belo Monte, Brazil, China, kerja sama, tenaga kerja
Strategi Komunikasi Visual Melalui Media Sosial
Authors: Kristanti Agnes Indah Suciani , Buntaran Louis Cahyo Kumolo
Published: January 2025

Tirtoid merupakan salah satu platform berita yang telah beroperasi sejak tahun 2016 dan berhasil menyasar pasar pembaca usia 20 hingga 30 tahun, dengan menyajikan berita-berita terkini dengan lebih ringan dan menyenangkan yang dikemas dalam bentuk infographic menarik. Artikel Tirtoid cenderung menggunakan gaya bahasa yang ringan dan sering menggunakan istilah-istilah kekinian. Penelitian ini berfokus pada strategi komunikasi yang digunakan oleh platform penyedia berita Tirtoid dalam mengemas berita untuk pasar generasi muda, dengan metode observasi yang dilakukan terhadap 11 konten infographic Tirtoid mulai dari tanggal 1 Januari hingga 7 Januari 2023, dan paper review. Melalui penelitian ini diketahui bahwa standarisasi dalam bentuk manajemen konten merupakan strategi komunikasi yang efektif untuk menjaga konsistensi dan berhubungan pada koneksi (relate), hubungan positif serta kepercayaan (engagement) dan keberhasilan (success) dalam penyampaian pesan secara efektif kepada target sasaran.
Analisis Elemen Visual Pada Desain Kemasan Makanan Ringan Nyam Nyam Bubble Puff
Authors: Mufida Iklima Nur , Sishertanto Tytton
Published: January 2025

Kemasan dalam penggunaannya pada produk memainkan peran penting dalam industri produksi. Fungsi dari kemasan telah berkembang menjadi alat pencipta nilai merek dari suatu produk khususnya pada produk kemasan makanan ringan. Oleh karena itu, penelitian ini menarik perhatian penulis untuk mengkaji tentang kemasan makanan ringan Nyam Nyam Bubble Puff, yang dipilih karena popularitasnya yang masih terus populer sampai saat ini terhadap makanan ringan anak di kalangan konsumen. Penelitian ini menggunakan metode kualitatif deskriptif berdasarkan teori desain. Analisis ini difokuskan pada elemen-elemen visual grafis dalam kemasan makanan ringan Nyam Nyam Bubble Puff, yang dapat mempengaruhi seperti apa keputusan konsumen. Elemen-elemen visual yang dianalisis meliputi logo atau merek, warna, ilustrasi, bentuk, tata letak, dan tipografi. Pemilihan elemen desain yang tepat dan efektif pada kemasan dapat menarik calon konsumen untuk membeli produk seperti pada makanan ringan Nyam Nyam Bubble Puff. Penelitian ini diharapkan dapat membantu produsen dan UMKM yang sedang memproduksi produk baru untuk menerapkan pendekatan desain kemasan yang kreatif dan strategis agar lebih meningkatkan minat konsumen dari waktu ke waktu.
The renewal of the ethical-political conception of historical studies
Authors: Trotta Marco
Published: January 2025

This essay proposes to analyse aspects and issues of the ethical-political paradigm of historical studies, starting from the teaching of Benedetto Croce in the early twentieth century up to the developments of the Italian historiographical panorama in the twenty-first century.
Navigating the dual-edged sword of generative AI in cybersecurity
Authors: Silva Flavio Ambrosio da
Published: January 2025

Generative Artificial Intelligence (genai) is significantly impacting the field of cybersecurity by presenting both opportunities and challenges. On one hand, technologies like large language models (llms), exemplified by openai's chatgpt and Google deepmind's Gemini, enhance operational security through their ability to analyze vast amounts of data, identify malicious activities, and automate threat responses. Genai can generate real-time alerts, assist in vulnerability testing, and facilitate training in cybersecurity through simulations and tutorials. However, its capabilities also pose serious risks, as malicious actors can leverage these same tools to execute sophisticated attacks, such as highly personalized phishing schemes and the automation of malware creation. Research studies highlight the implications of genai's evolution in cybersecurity. Gupta et al. (2023) and Neupane et al. (2023) explore how the misuse of genai can lead to new cyber threats, including deepfakes and misinformation, necessitating a proactive response. Strategies like the Cyber Kill Chain (CKC) model can help understand attack cycles and strengthen defenses against these threats. Furthermore, Barrett et al. (2023) discuss the dual-use dilemma of genai, stressing the need for ethical considerations in its development and use. As genai technologies continue to advance, the need for comprehensive regulatory frameworks and integrated security measures becomes increasingly critical. Collaboration among stakeholders—including tech companies, policymakers, and researchers—is essential for maximizing the benefits of genai while minimizing its exploitation. The ongoing discourse surrounding genai’s impact on cybersecurity is vital for addressing emerging challenges and preparing for a future where technology enhances security without compromising ethical standards.
Lophomoníase em paciente portadora de sequela de tuberculose pulmonar em Ribeirão Preto – relato de caso
Authors: Vega Nelson de Araújo , Britto Juliana de Carvalho , Balduino Bruna Ferreira , Mendes Bruno Vinícius de Aquino , Ubida Camila Caldeira , Firmino Igor Ricardo Carneiro , Nechar Mickaella Baldao , Cruz Tamires do Carmo
Published: January 2025

A Lophomoniose pulmonar é uma doença causada por um protozoário do  gênero Lophomonas sp, a qual, está frequentemente relacionada a condições de higiene  precária e a pacientes imunossuprimidos. As manifestações da doença são diversas e  inespecíficas, tornando o diagnóstico desafiador. No presente relato de caso, a hemoptise  foi o primeiro sinal que deu início à investigação do quadro. Devido às alterações  clínicas e aos achados de exames de imagem, a paciente foi submetida à broncoscopia  com lavado broncoalveolar, no qual foi detectado a presença do protozoário Lophomonas  sp. Objetiva-se portanto, relatar e relacionar o caso clínico com os dados epidemiológicos e sociais,  bem como a relevância do diagnóstico precoce. Este relato reforça a importância da análise diagnóstica ampla, considerando  as diversas possibilidades etiológicas nos casos de infecção do trato respiratório que não  respondem ao tratamento convencional das pneumonias bacterianas e fúngicas.
The Paradox of Social Media: Loneliness and Fear of Missing Out in University Students
Authors: Doktorova Dominika , El Mghari Souad
Published: January 2025

The increasing prevalence of social media use among university students has raised important questions about its relationship with psychological well-being, particularly regarding experiences of loneliness and Fear of Missing Out (FoMO). This study investigated gender differences in social media engagement, FoMO, and loneliness among university students, examining three key hypotheses concerning gender variations in these dimensions. Data were collected from 450 students across Slovak universities using standardized instruments: the UCLA Loneliness Scale, Social Media Engagement Questionnaire (SMEQ), and FoMO Scale. Statistical analyses revealed significant gender differences in both social media use and FoMO, with female students demonstrating higher levels in both dimensions. Notably, while female participants showed more intensive social media engagement and higher FoMO scores, no significant gender-based differences emerged in loneliness levels. These findings suggest a complex relationship between digital engagement and psychological well-being that varies by gender. The study contributes to the growing body of research on digital behaviour and mental health among young adults, highlighting the need for gender-specific interventions to promote healthier social media usage patterns. Furthermore, the results emphasize the importance of developing targeted support strategies for university students navigating the challenges of digital social connection.
Evaluation and Comparison of the Online Brand Identity of the Top Banks in the USA
Authors: Gombos Nóra Julianna
Published: January 2025

The banking sector faces the challenge of distinguishing itself from competitors in an ever-changing online environment and in online communication. Effective brand building and brand management can provide support in this endeavour. For consumers, it is crucial to access reliable information through appropriate online platforms. The research focuses on the brand identity of U.S. banks accessible to consumers. The aim of the study is to analyse and evaluate the brand identity of the websites of 20 USA banks, based on academic literature and methodologies. The research offers insights into the elements of online brand identity and brand building currently employed in the banking sector, derived from the evaluation of these websites. The analysis and assessment of the websites are conducted through a primary qualitative research methodology. The findings can be effectively used for online brand strategy planning by banks. Conclusions drawn from the results will help identify future research directions and potential areas for development.
The Current Development of Robotic Journalism and Its Impact on Media Reporting
Authors: Oprala Branislav
Published: January 2025

The rapid advancement of AI and automation has turned robotic journalism into a fundamental aspect of modern media methods. This article explores the latest technological advances in robotic and automated journalism and highlights how it can improve the efficiency and speed of news content production by leveraging AI algorithms and generative systems such as GPT-4 and many others. The integration of these technologies enables the exploration of complex data collections and the tailoring of messages to different audiences. However, this change brings moral and social issues such as transparency, accountability and maintaining high standards of journalism. This article shows how AI tools are used in various ways in Slovak and Czech media, from automated reporting in ČTK to creative audience engagement projects in Rádio Slovensko. At the same time, the contribution, based on the international research Worlds of Journalism Study, publishes a completely new and interesting partial research on whether Slovak media workers currently already use robotic and automated journalism in their editorial practice.
Comparative Analysis of the Top Frameworks of Digital Transformation
Authors: Reiter Miroslav
Published: January 2025

Digital transformation is a critical factor for the long-term development and competitiveness of organizations in areas such as IT, marketing, and education. This study conducts a comparative analysis of 12 key digital transformation frameworks, including ITIL, TOGAF, and BIZBOK, evaluating their application across industries and their ability to address challenges associated with digital transformation. The analysis considers several factors, such as the complexity, flexibility, implementation costs, and the level of support each framework provides to organizations during the transformation process. Findings show that no single framework is universally applicable. Instead, the effectiveness of each framework depends on the specific context of the organization, its technological maturity, and its ability to adapt to dynamic changes. This study particularly highlights the relevance of digital transformation frameworks in marketing and education, where adaptability and customer-focused strategies are key. The conclusions offer practical recommendations for organizations considering the adoption of a digital transformation framework, emphasizing the importance of aligning the chosen framework with the organization’s unique needs and goals.
AI-Driven Innovation in Audio Post-Production
Authors: Višváder Matúš , Proner Ján
Published: January 2025

This article examines the innovative tools used in audio post-production, focusing on Adobe Premiere Pro and third-party extensions enriched by advanced artificial intelligence technologies. It provides a historical overview of the evolution of audio post-production techniques and assesses the current applications of AI in streamlining workflows and enhancing audio output quality. Key AI-driven features, such as automatic audio editing, content analysis, and enhancement algorithms, are explored in detail, emphasizing their transformative impact on efficiency and creative possibilities. By combining theoretical analysis with hands-on testing, the study evaluates the practical implications of these advancements for professionals and amateur content creators alike. Special attention is given to the democratizing effect of AI, which has made professional-grade tools accessible to a wider audience, bridging the gap between expertise and entry-level users. The article highlights how these innovations are not only redefining industry standards but also reshaping creative practices, demonstrating the potential of AI technologies to revolutionize the future of audio post-production.
Digital Games and AI: Education, Ethics and Culture
Authors: Jukić Dinko
Published: January 2025

Artificial intelligence (AI) plays a crucial role in shaping users’ experiences in digital games, especially in the action-adventure genre. This study research how AI in digital games can enhance education and raise cultural awareness. By analysing various digital games, it demonstrates how AI technology creates dynamic and interactive educational experiences that promote critical thinking, media literacy, ethical values, and cultural awareness. Integrating AI technology makes digital games a powerful medium for education and cultural promotion. In this study, a conceptual model for AI application in the digital gaming industry is introduced. AI in digital games has the potential not only for entertainment but also for significant contributions to education and cultural awareness. Digital games are viewed as cultural artifacts with educational, ethical, cultural, and pragmatic potential. This study provides a theoretical framework on digital games, AI, culture, and ethics. It also explores how AI complements human creativity in digital games, creating richer educational experiences and discussing the ethical implications, emphasizing the importance of maintaining human values and cultural integrity in an AI-driven world. A problematic question arises regarding the application of AI in the context of ethics, education, and culture. It is concluded that digital games which effectively integrate AI techniques for development and optimization, along with elements of player engagement, can achieve high quality and significantly impact players. Additionally, it considers how AI can transform educational and cultural domains.
Virtual Utopia, Artificial Adventure and Digital Games Industry in Spielberg’s Ready Player One
Authors: Radošinská Jana
Published: January 2025

Cinematic portrayals of virtual reality are extremely financially demanding and technologically complex simulacra which define the nature of today’s science-fiction film. The mainstream film audiences, especially teenagers tend to perceive these spectacles as escapist utopias which are more convincing and immersive than images of the real world. The paper works with the assumption that Steven Spielberg’s Ready Player One is a prominent example of contemporary cinema’s ability to create escapist virtual utopias that are based on aesthetics of digital games, highly immersive and yet able to address the social meanings which outline the human/artificial binarity we are experiencing nowadays. The main goal of the paper is to critically discuss the social meanings present in the movie Ready Player One to better understand why virtual utopias and artificial gaming worlds are so attractive for media audiences, based on the definition of the theoretical framework of the given topic and subsequent discourse analysis focused on the given film story.
Digital Games Industry, Politcal Correctness, and Artificial Intelligence
Authors: Ungerová Magdaléna
Published: January 2025

The phenomenon of political correctness has been present in all types of media for several decades, while having an impact on various aspects of social life. Since it is so widely spread not only in nearly all media types and media outputs, the field of gaming and digital games industry, along with artificial intellience, could not have escaped its reach and influence, either. The paper deals with the reasons and consequences of the phenomenon of wokeness being implemented not only into the language, but also into the topics and settings of the games. As this issue is rather complex as such, while being highly controversial for various reasons in its essence, the same can be stated about its existence in current gaming and digital games industry, its future associated with AI, including the reactions of game creators, and gamers themselves. We offer an analysis of several examples from the contemporary gaming industry showing how political correctness and monetizing may (not) work well together.
Provisão de plano de saúde pelo empregador e a decisão de permanecer no mercado de trabalho: uma análise utilizando dados da PNAD 2008
Authors: Campêlo Ana Katarina
Published: January 2025

Este trabalho tem como finalidade examinar o efeito da oferta de plano de saúde pelo empregador na decisão dos agentes em não permanecer - se aposentar - ou continuar no mercado de trabalho. Também são apresentadas as principais pesquisas na literatura que avalizam e norteiam esta pesquisa, mostrando o plano de saúde como um fator relevante para ser estudado nas decisões dos agentes no que tange o mercado de trabalho. Utilizou-se como base de dados a Pesquisa Nacional por Amostra de Domicílios (PNAD) de 2008, mais especificamente o suplemento desta, denominado Panorama de Saúde no Brasil, acesso e utilização dos serviços, condições de saúde e fatores de risco e proteção à saúde. Ademais, foi utilizado o modelo probit para estimação do impacto da provisão do plano de saúde, esse tipo de estimação é ideal para pesquisas que trabalham com variáveis dependentes dicotômicas. O resultado encontrado mostra um impacto positivo entre as variáveis que representam as firmas ofertarem plano de saúde com pagamento sob responsabilidade total ou parcial do valor do plano e a permanência do empregado na empresa, mesmo após ter a idade de aposentadoria alcançada.