bluuebunny/crossref_metadata_2025 huggingface dataset:
TRANSFORMASI KELAS: KEKUATAN LITERASI MEDIA DALAM PENDIDIKAN SEKOLAH DASAR DAN MENENGAH
Authors: Setijadi Naniek
Published: January 2025

Di era digital, literasi media telah muncul sebagai komponen penting dalam pendidikan, Artikel ini mengeksplorasi dampak transformatif dari pengintegrasian literasi media ke dalam kelas, menekankan peran penting guru dalam mendorong analisis kritis, evaluasi, dan pembuatan konten media di kalangan siswa. Hal ini disampaikan dalam program bina guru sekolah Yayasan Pendidikan Kristen Indonesia di Magelang, yang merupakan program peningkatan kualitas professionalisme bagi para guru. Melalui program ini, guru dapat mengembangkan keterampilan berpikir kritis, menjadi mahir dalam membimbing siswa sebagai warga digital yang bertanggung jawab, dan memfasilitasi keterlibatan yang lebih mendalam dengan kurikulum. Artikel ini memaparkan bagaimana literasi media menumbuhkan kreativitas, kolaborasi, dan keterampilan komunikasi yang penting untuk menavigasi lanskap digital dan mempersiapkan siswa untuk karir masa depan. Program ini mempromosikan empati dan inklusivitas dengan mengatasi bias dan perspektif dalam media, sehingga meningkatkan pengalaman belajar. Strategi praktis untuk integrasi kurikulum dan pengembangan profesional guru juga disoroti, menggarisbawahi pentingnya pendidik dalam merevolusi metode pengajaran tradisional dan membekali siswa dengan keterampilan penting abad ke-21.
A Random Oversampling and BERT-based Model Approach for Handling Imbalanced Data in Essay Answer Correction
Authors: Sani Dian Ahkam
Published: January 2025

The task of automated essay scoring has long been plagued by the challenge of imbalanced datasets, where the distribution of scores or labels is skewed towards certain categories. This imbalance can lead to poor performance of machine learning models, as they tend to be biased towards the majority class. One potential solution to this problem is the use of oversampling techniques, which aim to balance the dataset by increasing the representation of the minority class. In this paper, we propose a novel approach that combines random oversampling with a BERT-base uncased model for essay answer correction. This research explores various scenario of text pre-processing techniques to optimize model accuracy. Using a dataset of essay answers obtained from eighth-grade middle school students in Indonesian language, our approach demonstrates good performance in terms of precision, recall, F1-score and accuracy compared to traditional methods such as Backpropagation Neural Network, Naïve Bayes and Random Forest Classifier using FastText word embedding with Wikipedia 300 vector size pretrained model. The best performance was obtained using the BERT-base uncased model with 2e-5 learning rate and a simplified pre-processing approach. By retaining punctuation, numbers, and stop words, the model achieved a precision of 0.9463, recall of 0.9377, F1-score of 0.9346, and an accuracy of 94%.
Solar Radiation Prediction using Long Short-Term Memory with Handling of Missing Values and Outliers
Authors: Syahab Alfin Syarifuddin , Achamd MS Hendriyawan
Published: January 2025

The pyranometer sensor is an instrument for measuring Global Horizontal Irradiance (GHI) which is used as parameter for analyzing and predicting weather. GHI data which is processed into prediction model for photovoltaics is useful for determining the performance of solar power generation systems in distributed energy operations. However, GHI sensor data has weaknesses in missing values and outliers due to measurement errors. The research designed a GHI sensor data prediction model using data preprocessing by the imputation of missing values using linear, polynomial, and Piecewise Cubic Hermite Interpolating Polynomials (PCHIP) interpolation and eliminating outliers using Random Sample Consensus (RANSAC) on the dataset. Previous researches show that Long Short-Time Memory (LSTM) can improve the performance of predictions compared to machine learning. This research designs an LSTM prediction model with data preprocessing and without data preprocessing. The results of the imputation of missing values obtained the best performance in PCHIP with Mean Absolute Error (MAE) 39.708 W/m2, Root Mean Absolute Error (RMSE) 76.224 W/m2, Normalized Root Mean Absolute Error (NRMSE) 0.433, and Coefficient Determination (R2) 0.903 then imputation from outlier elimination obtained MAE 44.377 W/m2, RMSE 86.738 W/m2, NRMSE 0.500, and R2 0.886. RANSAC testing succeeded in eliminating 100% outliers. The results of LSTM with data preprocessing obtained better performance with the best evaluations on MAE, RMSE, NRMSE, and R2 for test data of 42.863 W/m2, 82.396 W/m2, 0.396 and 0.918. This study contributes to GHI prediction model that can handle missing values ​​and outliers from sensors to support solar power plants.
La guerre inévitable : transgressions avortées dans Les Soirées de Médan
Authors: Poirier Étienne
Published: January 2025

Bien que le recueil des Soirées de Médan (1880) se présente comme un manifeste du naturalisme, il est à première vue difficile de voir dans quelle mesure les actions des personnages sont déterminées par le contexte de guerre. Il est plus fréquent de les considérer comme transgressives en ce qu’elles heurtent les normes sociales au moment de leur publication. Si les personnages semblent d’abord se réfugier dans des espaces où il leur est possible d’échapper à la guerre, le conflit s’y immisce néanmoins. Leurs actions peuvent ainsi être interprétées comme des gestes attribuables au contexte dans lequel ils évoluent plutôt que comme des actes transgressifs. En cela, le recueil respecte la logique déterministe de l’esthétique naturaliste et présente des personnages qui agissent en fonction du milieu et des circonstances dans lesquels ils se trouvent, selon les lois naturelles présentées dans la théorie zolienne.
(Ré)intentionnaliser l’Histoire : lieux souterrains de transgression et de pouvoir chez Élie Berthet, Alexandre Dumas et Paul Féval
Authors: Gauthier Nicolas
Published: January 2025

Cet article est consacré à exposer comment la mise en scène d’espaces transgressifs dans les romans Les Catacombes de Paris (1832 et 1854) d’Élie Berthet, Les Mystères de Londres (1843-1844) de Paul Féval et Les Mohicans de Paris (1854-1859) d’Alexandre Dumas dépasse largement le cadre de l’illégalité. L’analyse, effectuée notamment au moyen de la lentille que constitue l’hétérotopie, vise à exposer comment ces œuvres complexifient et problématisent d’une manière fort révélatrice des récits historiques supposément bien connus et acceptés, leur donnant une signification neuve en les inscrivant dans un ensemble cohérent d’événements inconnus (et fictionnels). Les espaces de transgression mis à l’honneur dans ces romans sont au cœur de ce processus qui, dans la fiction, refaçonne l’organisation du pouvoir dans la ville (Paris ou Londres) et qui revisite et réécrit en partie l’Histoire.
3d(Fe)-5d(W) diatomic hybrid oxygen electrocatalysts enables ultra-stable operation of rechargeable zinc-air batteries for over 10,000 h
Authors: Li Zhi , Li Yifan , Zhang Hao , Chen Chang , Xie Xuesong , Yang Yang , Tan Xuehai , Jiang Keren , Chen Ning , Wang Hanlin
Published: January 2025

Durable and highly active oxygen electrocatalysts are crucial to the large-scale application of rechargeable zinc-air batteries. In this work, we utilized the N4 unit in Pc molecule to trap the tungsten atoms scratched off from the tungsten carbide milling balls and placed the obtained W-N4 unit close adjacent to the Fe-N4 units in FePc, resulting in highly active Fe-N4/W-N4 diatomic sites with well-pronounced 3d-5d hybrid for efficient and durable oxygen electrocatalysis. The electron distribution of the Fe-N4 site is optimized by the neighboring W-N4 site, which facilitates the O2 activation and the desorption of *OH and enhances the catalytic activity of the Fe-N4 site. Meanwhile, the unsaturated 5d orbitals and tunable valence of the W atoms could modulate the electronic state of the Fe species, prevent leaching, and further enhance the catalytic stability. The resulting zinc-air battery with Fe,W-N-C air cathode exhibited unprecedented cycling stability and repeatability for over 10,000 hours. This remarkable stability improvement not only provides new perspectives for the commercialization of ultra-stable zinc-air batteries but also highlights the critical step in developing 5d metal-boosted 3d metal active sites to fabricate efficient oxygen electrocatalysts.
Arginase 1 promotes hepatic lipogenesis by regulating ERK2/PPARγ signaling in a non-canonical manner
Authors: Shi Yujun , Shao Mingyang , Cao Xiaoyue , Chen Yuwei , Zhu Zhiqi , Shu Yuke , Tao Qing , Xu Qing , Ma Tingting , Wu Zhenru , Chen Menglin , Zhou Yongjie , Yao Rong , Gong Junhua , Yang Jiayin
Published: January 2025

The global incidence of obesity and its metabolic sequelae, notably metabolic dysfunction-associated steatohepatitis (MASLD), has escalated to epidemic levels. We unveil a previously unknown moonlighting role for arginase 1 (Arg1) in facilitating hepatic lipogenesis. Mice lacking hepatic Arg1 exhibited diminished lipid accumulation in both liver and adipocytes, an effect mirrored in genetically- or diet-induced obesity models following Arg1 inhibitor treatment. Mechanistically, Arg1 competes with RSK2 and Elk1 for binding to the substrate-binding pocket of extracellular signal-regulated kinase 2 (ERK2) via its S-shaped motif, thereby enhancing ERK2 ubiquitination and degradation and upregulating the AKT/mTOR/PPARγ and Elk1/c-Fos/PPARγ cascades, ultimately augmenting lipogenesis. Peptides designed to mimic the ERK2 substrate-binding pocket disrupted the Arg1-ERK2 interaction and improved metabolic profiles in obesity and MASLD models. Our findings implicate Arg1 regulates hepatic lipid metabolism via its physical interaction with ERK2, highlighting the Arg1-ERK2 interaction as a promising therapeutic target for obesity and related metabolic disorders.
Readiness-to-Change and Treatment Outcomes among Individuals with Substance Use Disorders at Post-Incarceration
Authors: Watterson Kelsey , Nelon Jordan , Grove-Paul Linda , Fillmore Jennifer , Placek Caitlyn
Published: January 2025

This study evaluated stages of change and treatment outcomes among 146 adults who participated in a reentry and recovery program for substance use disorders post-incarceration, an understudied population regarding treatment outcomes. Data were collected at three time points. Bivariate analyses and logistic regression were used to analyze the data. Using the constructs Readiness-to-Change (RTC) and Committed Action (CA), results indicated that baseline CA scores were significantly and positively associated with treatment outcomes. Individuals who scored higher in baseline RTC stages and who completed supervision had greater odds of program success. These findings can inform future interventions with correctional populations, such that individuals with lower RTC and CA at baseline might need additional support.
Synergistic Effect of Hybrid Filler Networks on Morphology and Enhanced Properties of Hydrogenated Styrene Butadiene Rubber for Tyre Tread Application
Authors: Dolui Tuhin , Chanda Jagannath , Ghosh Prasenjit , Mukhopadhyay Rabindra , Banerjee Shib Shankar
Published: January 2025

The influence of hybrid filler systems on performance properties of regular tyre tread rubbers is well-explored by the researchers, but is quite new for the case of modified styrene butadiene rubbers like hydrogenated styrene butadiene rubber (HSBR). In this work, the synergistic effect of hybrid filler systems viz. Graphene Oxide/Silica (GO/SiO2), Carbon Nanotube/Silica (CNT/SiO2) and Graphene Oxide/ Carbon Nanotube/Silica (GO/CNT/SiO2) on (HSBR) compound in the context of modulus, rolling resistance, dry and wet traction, abrasion resistance and fatigue resistance properties were extensively investigated with particular reference to tyre tread compound. From the study, it was revealed that CNT/SiO2 based HSBR composites exhibited superior performance properties as compared to the other hybrid filler systems. The modulus at 100% and 300% modulus of the CNT/SiO2 filled composites improved by 72% and 17% respectively as compared to the only silica filled compound. Whereas; the enhancement in dynamic stiffness at 0°C (wet traction indicator) and 300 C (dry traction indicator) as well as abrasion resistance property were found to be 57%, 45% and 75% respectively. However, the fatigue crack growth rates of the experimental compounds were slightly inferior to the reference one. Thus, it can be a potential candidate for application in high performance tyre tread compound and this research may open up enormous opportunities in the field of advanced tyre composites.
Neuroplasticity of pain processing mechanisms with long-term meditation: Insights from pain-related EEG oscillations
Authors: Yordanova Juliana
Published: January 2025

The experience of pain is a combined product of bottom-up and top-down influences mediated by attentional and emotional factors. Meditation states and traits are characterized by enhanced attention/emotion regulation and expanded self-awareness that can be expected to modify pain processing. The main objective of the present study was to explore the effects of long-term meditation on neural mechanisms of pain processing. EEG pain-related oscillations (PROs) were analyzed in highly experienced practitioners and novices during a non-meditative resting state with respect to (a) local frequency-specific and temporal synchronizing characteristics to reflect mainly bottom-up mechanisms, (b) spatial synchronizing patterns to reflect the neural communication of noxious information, (c) pre-stimulus oscillations to reflect top-down mechanisms during pain expectancy, and (d) the P3b component of the pain-related potential to compare the emotional/cognitive reappraisal of pain events by expert and novice meditators. Main results demonstrated that in experienced (long-term) meditators as compared to non-experienced (short-term) meditators (1) the temporal and spatial synchronizations of multispectral (from theta-alpha to gamma) PROs were substantially suppressed at primary and secondary somatosensory regions contra-lateral to pain stimulation within 200 ms after noxious stimulus; (2) pre-stimulus alpha activity was significantly increased at the same regions, which predicted the suppressed synchronization of PROs in long-term meditators; (3) the decrease of the P3b component was non-significant. These novel observations provide evidence that even when subjected to pain outside of meditation, experienced meditators exhibit a pro-active top-down inhibition of somatosensory areas resulting in suppressed processing and communication of sensory information at early stages of painful input. The emotional/cognitive appraisal of pain is reduced but remains preserved revealing a capacity of experienced meditators to dissociate pro-active and reactive top-down processes during pain control.
Nesting biology, growth and survival of the Slender-Billed Inezia: Insights into the life history of the South America’s smallest passerine
Authors: Lara Carlos Esteban , Rambaut Jesus David , Gámez Ángel Ramiro
Published: January 2025

The Slender-bill Inezia (Inezia tenuirostris) is notable as the lightest passerine bird in South America. This species is endemic to the lowlands of northwestern Venezuela and northeastern Colombia, where it inhabits seasonal dry and hot environments. Until now, little was known about its reproductive biology. In this study, we described and evaluate key aspects of the nesting biology of I. tenuirostris. To achieve this, we monitored 43 nests located in forest patches within a very dry forest in an early successional stage. The nests were tiny “ventilated” cups constructed from fine woody stems. Clutch size consisted of two immaculate white eggs, which were incubated for an average of 12.5 days. At hatching, nestlings had black skin with sparse whitish down on the dorsal area and fledged after 11.6 days. The growth rate of the nestlings K was 0.42, with the maximum growth rate occurring after 3.73 days post-hatching, reaching 0.49 grams/day. Survival analysis revealed a sharp decline in nest survival during incubation (a 47% reduction) and a steady decline during chick-rearing (a 23% reduction), resulting in an overall low nesting survival rate of 30%. Our findings suggest potentially intriguing adaptations in I. tenuirostris for surviving in harsh environments, including: (1) the ventilated cup-shaped nest, which likely reduces water absorption and/or mitigates overheating; (2) the black skin of nestlings, which may provide photoprotection against harmful UV radiation; and (3) the accelerated growth rate of nestlings is potentially an evolutionary response to the persistent risk of nest predation.
University Students' Motives for Using TikTok and Its Impact on Their Social Values: An Applied Study at Taif University
Authors: Aljohani obaidalah H , Hussein Mohamed G , Alajlan Sarah M
Published: January 2025

Values ​​are significantly involved in the organization of society, its activities and its differentiation from other societies. However, it should be noted that social media services, especially TikTok, have become so successful recently due to their localized features and simplicity, allowing young users to create content freely. The aim of this study was to identify the reasons that motivate university students to use TikTok and its influence on their social values. The research employed a quantitative design using a questionnaire aimed at a sample of 3270 students of Taif University. The results showed that the reasons students gave for using Tiktok were quite high and included entertainment, social interaction, and self-expression. The study also found that TikTok led to a significant change in students' social values, with both positive changes such as better communication skills and negative changes including less family interaction and time-consuming activities. The study suggests raising awareness about the negative aspects of using TikTok and instead highlighting the beneficial uses and students' engagement to solve the problems, improve their social values ​​and fulfill their positive role in society.
Document-level causal event extraction enhanced by temporal relation using dual-channel neural network
Authors: Liu Zishu , Liang Yongquan , Ni Weijian
Published: January 2025

Event-event causal relation extraction (ECRE) represents a critical yet challenging task in natural language processing. Existing studies primarily focus on extracting causal sentences and events, despite the use of joint extraction methods for both tasks. However, both pipeline methods and joint extraction approaches often overlook the impact of document-level event temporal sequences on causal relationships. To address this limitation, we propose a model that incorporates document-level event temporal order information to enhance the extraction of implicit event causal relations. The proposed model comprises two channels: Event-event causal relation extraction channel (ECC) and event-event temporal relation extraction channel (ETC). Temporal features provide critical support for modeling node weights in the causal graph, thereby improving the accuracy of causal reasoning. Association link network (ALN) is introduced to construct event causality graph (ECG), incorporating an innovative design that computes node weights using Kullback-Leibler divergence and Gaussian kernels. Experimental results indicate that our model significantly outperforms baseline models in terms of accuracy and weighted average F1 scores.
Incorporation of straw from maize and early rice differentiated sequestration and stability of soil organic carbon---A field incubation of 13C-labelled straw under maize -rice and double rice cropping
Authors: Zhan Ming , Qin Mingguang , Fang Xuedong , Traore Moussa , Cao Yingjian , Li Chengfang
Published: January 2025

Background and aims The impact of straw incorporation on the transformation and stability of soil organic carbon (SOC) has not been fully understood with the changes in cropping systems. To address this issue, we investigated how return of straw from different preceding crops of rice-based double croppings affects retention and allocation of straw-C and intrinsic SOC across SOC fractions in paddy soil.
Methods An 816-day field incubation of 13C-enriched maize straw from maize-late rice cropping (MR-SM) and early rice straw from double rice cropping (RR-ER) were conducted in the respective rice-based cropping plots.
Results Compared to RR-ER incubation, MR-SM treatment demonstrated a significantly lower retention percentage of straw-C and intrinsic SOC by the conclusion of 816 days, had a lower sequestration rate of straw-derived C and a higher loss rate of the intrinsic SOC over this period, resulting in 5.49% reduction in TOC than that of RR-ER treatment. Meanwhile, MR-SM treatment showed significantly higher contributions of straw-C in the intra-microaggregate particulate fraction (iPOC) and the mineral-associated fraction (MAOC), but it contributed lower straw-C to the microbial biomass carbon (MBC). In contrast to RR-ER treatment, MR-SM treatment partitioned more SOC within iPOC but less SOC in MAOC, thus it had a higher index of the carbon quality, indicating a decline in SOC stability in the MR cropping despite a notable increase in TOC over the incubation period.
Conclusion MR cropping presents a lowerr potential for sequestration of newly added straw-C and the maintenance of SOC stability compared to RR cropping.
Age is Just a Number? Unveiling How Perceptions of Age Influence Safety and Motivation in the Workplace
Authors: Mariani Marco Giovanni , Mazzetti Greta , Piccolo Elena Lo , Guglielmi Dina , Hera Carlos Maria Alcover De La
Published: January 2025

Purpose
This study explores the dynamics of workplace safety, specifically examining how both objective and subjective age moderate the relationships between safety climate, safety motivation, compliance, and participation. It aims to understand how subjective age perceptions shape safety attitudes and behaviors, underscoring the importance of psychological and environmental factors in promoting workplace safety.
Method
A cross-sectional survey was conducted with 333 Italian employees from various sectors, using an online questionnaire to collect data.
Results
The findings reveal that a positive safety climate significantly enhances motivation for safety compliance, with motivation acting as a key mediator in this process. Subjective age interacts in complex ways with both safety climate and motivation, indirectly influencing safety behaviors. Notably, the impact of subjective age on safety outcomes is mediated through safety motivation, rather than exerting a direct effect.
Original Value:
By incorporating the concept of subjective age into the study of workplace safety, this research provides new insights into the intersection of psychological states and safety behaviors. This approach addresses the increasing age diversity in the workforce, contributing to the occupational safety and health literature with a deeper understanding of how age-related perceptions shape safety practices.
Quantifying the relationship between third sector size and political polarization
Authors: MacKay Kelsey J. , Schiltz Fritz , Avis Amy , Sauvé Conrad , Vandekerckhove Philippe
Published: January 2025

Political polarization affects our daily lives. Previous research identified trust in others, income inequality, and social media use as determinants of political polarization while third sector size is a potential, yet unexamined factor (Grechyna, 2016; Gu & Wang, 2022; Kubin & von Sikorski, 2021; Mintzberg, 2015). Using available data on third sector size (Schiltz et al., 2024) and political polarization (Coppedge et al., 2023), a significant linear regression showed countries with a larger third sector size had lower political polarization in 120 countries. Exploratory mediation analyses of high and upper-middle income countries found that trust in others and one-person households partially mediated the relationship between third sector size and political polarization, while income inequality and social media use did not. The results suggest that the third sector is related to political polarization within a country, which is particularly relevant for policy makers who have the aim to reduce political polarization.
Proactive Detection of Cyber-Physical Grid Attacks: A Pre-Attack Phase Identification and Analysis Using Anomaly-Based Machine Learning Models
Authors: Kabir Shaharier , Chowdhury Mehnaz , Zishan Md. Saniat Rahman
Published: January 2025

Cyber-physical power systems (CPPS), such as smart grids, are increasingly vital to modern infrastructure but are also highly vulnerable to sophisticated cyber-attacks. Traditional security measures often detect these attacks only after significant damage has occurred, highlighting the need for proactive approaches that can identify potential threats before they fully manifest. This research presents a comprehensive investigation into the use of machine learning models for the early detection of cyber-attacks in a smart grid environment, with a particular focus on identifying pre-attack phases. We employed several unsupervised learning algorithms, including Isolation Forest, K-Means Clustering, DBSCAN, and One-Class SVM, to analyze a time series dataset that simulates normal operations and various attack scenarios. Among these models, Isolation Forest demonstrated superior performance, achieving an Area Under Curve (AUC) score of 1.0, accuracy of 100%, and a sensitivity of 100% in detecting anomalies. DBSCAN also performed well, with an AUC of 0.79 and accuracy of 97.3%, although it exhibited a slightly higher false positive rate compared to Isolation Forest. To detect pre-attack phases, we focused on the anomaly scores generated by the Isolation Forest model. By adjusting the sensitivity threshold, we identified periods of abnormal behavior that precede actual attacks. A threshold of 0.3 for anomaly scores provided a balanced detection, revealing multiple pre-attack phases while maintaining a low false positive rate. However, a higher threshold of 0.97, while reducing false positives, resulted in the detection of fewer pre-attack phases, indicating that the attacks may occur more abruptly without significant pre-attack indicators. These findings underscore the potential of machine learning models in enhancing the security of cyber-physical systems by not only detecting attacks but also providing early warnings through the identification of pre-attack phases. This proactive approach could significantly mitigate the impact of cyber-attacks on critical infrastructure, offering a valuable tool for cybersecurity professionals in safeguarding these systems.
Camelot: a Computer Automated Micro Extensometer with Low-cost Optical Tracking
Authors: Trozzi Nicola , Wodniok Wiktoria , Kelly-Bellow Robert , Meraviglia Andrea , Chételat Aurore , Adkins Nova , Smith Richard S , Kwiatkowska Dorota , Majda Mateusz
Published: January 2025

Background: Plant growth and morphogenesis is a mechanical process controlled by genetic and molecular networks. Measuring mechanical properties at various scales is necessary to understand how these processes interact. However, obtaining a device to perform the measurements on plant samples of choice poses technical challenges and is often limited by high cost and availability of specialized components, the adequacy of which needs to be verified. Developing software to control and integrate the different pieces of equipment can be a complex task.
Results: To overcome these challenges, we have developed a computer automated micro-extensometer combined with low-cost optical tracking (Camelot) that facilitates measurements of elasticity, creep, and yield stress. It consists of three primary components: a force sensor with a sample attachment point, an actuator with a second attachment point, and a camera. To monitor force, we use a parallel beam sensor, commonly used in digital weighing scales. To stretch the sample, we use a stepper motor with a screw mechanism moving a stage along linear rail. To monitor sample deformation, a compact digital microscope or a microscope camera are used. The system is controlled by MorphoRobotX, an integrated open-source software environment for mechanical experimentation. We first tested the basic Camelot setup, equipped with a digital microscope to track landmarks on the sample surface. We demonstrate that the system has sufficient precision to measure the stiffness in delicate plant samples, the etiolated hypocotyls of Arabidopsis, and were able to measure stiffness differences between wild type and a xyloglucan-deficient mutant. Next, we placed Camelot on an inverted microscope and used C-mount microscope camera to track displacement of cell junctions. We stretched onion epidermal peels in longitudinal and transverse directions and obtained results similar to those previously published. Finally, we used the setup coupled with an upright confocal microscope and measured anisotropic deformation of individual epidermal cells during stretching of an Arabidopsisleaf.
Conclusions: The portability and suitability of Camelot for high-resolution optical tracking under a microscope make it an ideal tool for researchers in resource-limited settings or those pursuing exploratory biomechanics work.
Mucosite por Metotrexato em Paciente com Artrite Reumatoide: Relato de Caso
Authors: Rocha Lara Silva da , Moss Olívia Breda , Cabral Lioney Nobre , Pinheiro Tiago Novaes
Published: January 2025

A artrite reumatoide é uma doença caracterizada pela presença de poliartrite periférica simétrica causada pela destruição das articulações devido a erosões ósseas, o que leva a deformidade das regiões. Um dos tratamentos de base para a doença é o uso do medicamento Metotrexato, um tipo de DMCD (droga modificadora do curso da doença), responsável por reduzir os sinais e sintomas da atividade da artrite reumatoide. Neste relato, será abordado a efeito da fototerapia de baixa intensidade no tratamento da mucosite oral em uma paciente de 67 anos de idade, do sexo feminino, com Artrite Reumatoide, com queixa de sintomatologia dolorosa e dificuldade para se alimentar, com lesão cujo aspecto era ulcerativo, sangrante, apresentando edema, eritema e pseudomembranas, ocupando quase todo o lábio inferior e parte do lábio superior. Foi feito o tratamento da lesão com Laserterapia de baixa intensidade vermelha, que é opção quando se trata de mucosites, pois tem funções anti-inflamatórias e de analgesia. Após quatro sessões, foi observada a cicatrização total das lesões, proporcionando à paciente melhora nas funções orais básicas e melhora da qualidade de vida consequentemente.
Abordagem Multidisciplinar na Recuperação Estética e Funcional Do Sorriso: Relato de Caso Clínico
Authors: Vieira Rayanne Rodrigues , Holanda Júlia Kiara da Nóbrega , Dantas da Silva Maria Luiza , Souza Lara Danúbia Galvão de , Costa Aliny Thaisy Araujo , Custódio Lorena Layanne Pereira , Ribeiro Rodrigo Alves , Rodrigues Rachel de Queiroz Ferreira , Sousa João Nilton Lopes de
Published: January 2025

Introdução: A interação entre as disciplinas odontológicas está se tornando progressivamente comum na resolução de casos com envolvimento estético e funcional. Objetivo: Relatar um caso clínico de restabelecimento da harmonia do sorriso, através de cirurgia periodontal e facetas de resina composta. Relato de caso: A paciente tinha 25 anos e referia insatisfação com a estética do seu sorriso, devido ao excesso de exposição gengival e presença de diastemas interdentais. Previamente ao tratamento foi feito um planejamento, que direcionava quanto deveria ser removido de tecido gengival e deveria ser acrescentado de resina composta, dando uma maior previsibilidade do resultado final. Posteriormente, foi confeccionado o enceramento diagnóstico, que auxiliou nos guias de desgaste e restaurações de resina composta. O procedimento cirúrgico escolhido foi Gengivectomia em bisel interno e Osteotomia, que objetivava diminuir a faixa de exposição gengival da paciente ao sorrir. Após completo reparo do tecido periodontal, foi planejada a confecção das facetas de resina composta, usou-se o enceramento diagnóstico como guia. Resultado: Foi satisfatório com diminuição da exposição gengival ao sorrir e reanatomização dos elementos dentais com resina composta. Conclusão: A interdisciplinaridade odontológica tem significativa relevância no restabelecimento harmônico-funcional de um sorriso.
PECULIARITIES OF REPRESENTATION OF THE CONCEPT OF “ART” IN THE NOVEL “THE PICTURE OF DORIAN GRAY” BY O. WILDE
Authors: Khairulina Nailia , Dmytrenko Victoriia
Published: January 2025

he article under consideration presents the perspective of hypertrophied self-reflection of artists, which was realized in the works of representatives of different cultural epochs based on the specifics of the presentation of the concept of “art.” The primary focus is analyzing the peculiarities of interpreting this concept in the novel “The Picture of Dorian Gray” by the English writer Oscar Wilde, which became the key to realizing the author’s main idea. The modeling of the text of the work takes place through the implementation of this concept, which is a priority in the work. This happens through the portrait. The article suggests that the author’s use of a portrait is not accidental because, in our opinion, a picture is a kind of portal that connects the artist and the person depicted on the canvas, and in the case of the novel – three: the writer, the artist and the person depicted on it. The portrait is the materialization of the concept, and it focuses on all the variants of the specifics of its manifestation. Wilde considers art the highest form of being, as it is both a source of pleasure and destructive power. The focus is on the relationship between aestheticism, morality, and philosophical ideas that determine the behavior of the characters, in particular Dorian Gray. The article also analyses the symbolic role of the portrait, which appears not only as an artistic work but also as a personification of the hero's soul and moral state. The study has shown that the novel's concept of “art” is a key tool for revealing the central conflict between aesthetic pleasure and ethical principles. The main conclusion is that art in the novel is not a neutral category but has the ability to influence a person’s moral choice, emphasizing the inextricable link between beauty and responsibility.
O que faz uma Empresa de Microfinança Focar no Público Feminino? Evidência de uma Amostra Global
Authors: Ferreira de Lima Michael , Moreira Pessanha José Francisco , De Oliveira Leite Rodrigo , Dos Santos Alves Francisco José
Published: January 2025

O segmento de microfinanças é considerado um mecanismo capaz de proporcionar a inclusão financeira dos mais pobres, geralmente excluídos do sistema financeiro tradicional e, dessa forma, permitir que estes possam empreender e desenvolver atividades autônomas que gerem renda. As microfinanças podem ser consideradas especialmente importantes para o público feminino, uma vez que essa modalidade consegue promover o empoderamento das mulheres. Nesse cenário, faz sentido conhecer quais são as características das Instituições de Microfinanças (IMFs) que privilegiam o acesso das mulheres aos seus serviços. Assim, o objetivo deste trabalho é identificar as variáveis que influenciam o acesso das mulheres a empréstimos em IMFs. Para esse fim, esta pesquisa analisou uma amostra composta por 59 IMFs de todo o mundo com o emprego do Modelo de Regressão Beta (MRB) para dados em painel. Os resultados indicam que a proporção de mulheres gerentes, o tamanho da instituição e a proporção de crédito solidário estão positivamente associados à proporção de mutuários do gênero feminino, enquanto a proporção de mulheres no conselho, modelo de governança e o tamanho médio dos empréstimos apresentam uma relação oposta. Os resultados obtidos neste trabalho podem ser utilizados para instrumentalizar o controle gerencial das IMFs que possuam o compromisso institucional de atender as mulheres.
Conformal line defects at finite temperature
Authors: Barrat Julien , Fiol Bartomeu , Marchetto Enrico , Miscioscia Alessio , Pomoni Elli
Published: January 2025

We study conformal field theories at finite temperature in the presence of a temporal conformal line defect, wrapping the thermal circle, akin to a Polyakov loop in gauge theories. Although several symmetries of the conformal group are broken, the model can still be highly constrained from its features at zero temperature. In this work we show that the defect and bulk one and two-point correlators can be written as functions of zero-temperature data and thermal one-point functions (defect and bulk). The defect one-point functions are new data and they are induced by thermal effects of the bulk. For this new set of data we derive novel sum rules and establish a bootstrap problem for the thermal defect one-point functions from the KMS condition. We also comment on the behaviour of operators with large scaling dimensions. Additionally, we relate the free energy and entropy density to the OPE data through the one-point function of the stress-energy tensor. Our formalism is validated through analytical computations in generalized free scalar field theory, and we present new predictions for the O(N)O(N) model with a magnetic impurity in the \varepsilonε-expansion and the large NN limit.
EXAMINING BOARD CHARACTERISTICS AND INTEGRATED REPORTING QUALITY: INSIGHT FROM ESG-FOCUSED FIRMS IN INDONESIA
Authors: Butar-butar Dea Tiara Monalisa , Pangestu Krisnawati Yeni , Itan Iskandar
Published: January 2025

This research aims to look at Indonesian firms and see whether there's a connection between board traits and the quality of their integrated reporting. This study analyzes 52 listed firms from the environmental, social, and governance (ESG) index between 2019 and 2022 using linear regression with panel data to test its assumptions. The data was acquired from annual reports of Indonesian corporations. The acquired empirical data clearly shows that gender diversity appears to significantly improve the integrated reporting quality. Also noteworthy is that board size, independence, and CEO duality are not significantly related. This study has several practical implications in addition to its theoretical implications. Managers, shareholders, and policymakers should take note of these findings, as they are particularly relevant. Therefore, stakeholders should evaluate the precision of disclosure when deciding on the best reporting approach. A more accurate assessment of risk, less stock volatility, more long-term value for shareholders, and an improved company reputation are all outcomes of this. Corporate social responsibility and sustainability literature is lacking, which this article seeks to remedy. It fills a gap in the literature by providing more information about ESG company-specific integrated reporting and corporate governance. This study has important implications for professionals and practitioners who want to raise the bar on the quality of their integrated reports.
Construction materials obtained by valorising mineral waste of red mud and mining tailings - performance and impact
Authors:   National Research and Development Institute for Industrial Ecology ECOIND Bucharest, Cuciureanu Adriana , Stanescu Bogdan Adrian ,   National Research and Development Institute for Industrial Ecology ECOIND Bucharest, Cernica Georgiana ,   National Research and Development Institute for Industrial Ecology ECOIND Bucharest, Sebanescu Gheorghe Cristian ,   National Research and Development Institute for Industrial Ecology ECOIND Bucharest
Published: January 2025

The actions undertaken by Romania, as an active participant in the sustainable policies of the European Union in the field of waste management, aim to permanently minimize the amount of waste generated, recycling, reuse and higher valorisation to ensure a sustainable management of resources and environmental protection. Increasing the degree of valorisation and obtaining secondary raw materials through the management of waste resulting from mining and metallurgical activities, recognized by very large quantities generated and stored, is the objective of extensive research activities. This paper presents the results of the research carried out in order to valorise red mud and mine tailings wastes by incorporation into construction materials with the main aim of reducing the polluting effect of the waste but also the partial substitution of the basic raw materials from the classic construction materials (cement, clay). The new construction materials (mortars, respectively ceramic materials), by substituting the silico-aluminous component from the basic raw material of the classic construction materials were obtained. The properties of the new construction materials are similarly to the classic materials. The specific pollutants presents in the wastes was retained, which leads to the reduction of the impact on the environment. The impact generated by the implementation of the optimal technological solution was analysed, compared to the impact on the environment due to the storage of the two wastes and the impact produced during the manufacture of classic materials.
Oral Administration of Hydrogen-rich Water: Biomedical Activities, Potential Mechanisms, and Clinical Applications
Authors: Meng Fanxianzi , Liu Zhichao , Qin Shucun , Liu Boyan
Published: January 2025

Molecular hydrogen (H2) is considered a biological antioxidant. Hydrogen-rich Water (HRW) is
regular water that contains dissolved H2 and has become more widely used in recent years. This review summarizes
the basic research and clinical applications of HRW consumption to support its use for daily health
and clinical treatment. The biological effects of HRW include reducing oxidative stress, exerting antiinflammatory
effects, regulating glucose and lipid metabolism, protecting mitochondrial function, and regulating
apoptosis. Hypotheses about the mechanisms of H2 include the direct scavenging of toxic free radicals, the
Fe-porphyrin biosensor hypothesis, the effect of H2 on biological enzymes, the lipoprotein regulation of H2,
and H2 acting on the intestinal barrier. Clinically, HRW has been used for adjuvant treatment, disease prevention,
and quality of life improvement. In the future, more in-depth studies and large-scale clinical trials are
needed.
Mechanism of Qilong Capsule against Myocardial Ischemia-Reperfusion Injury Based on Network Pharmacology and Experimental Validation
Authors: Li Lingxu , Ye Jingxue , Zhou Jiahui , Wang Zhihui , Li Ruoyun , Wang Min , Sun Guibo
Published: January 2025

Introduction:

Qilong capsule (QC) has been used clinically to treat ischemic stroke in
China. This study evaluated the therapeutic effects of QC on myocardial ischemia-reperfusion
injury (MIRI) and its potential mechanisms.

Method:

The components and candidate targets of QC against MIRI were predicted by network
pharmacology via relevant databases such as TCMSP, BATMAN-TCM, GeneCards. The potential
mechanisms were predicted by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and
Genomes (KEGG) pathway enrichment analyses and verified by enzyme-linked immunosorbent
assay (ELISA) and Western blot.

Results:

Network pharmacology analysis indicated that the cardioprotective effect of QC
against MIRI was associated with inflammatory pathways. We further confirmed that QC effectively
decreased the levels of inflammatory factors, including hs-CRP and MCP-1, and suppressed
the expression of TNF-α and the phosphorylation of STAT3.

Conclusion:

This study provides evidence for further clinical applications of QC for MIRI therapy.

conclusion:

This study provides evidence for further clinical applications of QC for MIRI therapy.
Recent Development in Hydantoins, Thiohydantoins, and Selenohydantoins as Anticancer Agents: Structure-activity Relationship and Design Strategies
Authors: Gupta Ajay Kumar , Thakur Gajendra Singh , Jain Sanmati Kumar
Published: January 2025

Hydantoin, a five-membered heterocyclic scaffold, is regarded as a crucial scaffold in
medicinal chemistry. Hydantoins have been useful in synthesizing medicines like nilutamide, enzalutamide,
and apalutamide. Thiohydantoin and selenohydantoin have been discovered as two separate
types of hydantoin. There are two hydrogen bond donors, two hydrogen bond acceptors, and
four substitution sites. These characteristics have led to the design, synthesis, and expansion of hydantoin
derivatives' biological and pharmacological effects against numerous types of malignancies.
This study reviews the recent contributions of hydantoin and its isosteric variants to medicinal
chemistry. To emphasize their significance, certain significant compounds based on hydantoins and
their structure activity relationships (SAR) are briefly discussed. We thoroughly analyzed each scaffolds'
structural characteristics and SAR, and these scaffolds may one day show potential anticancer
activities.
In silico Investigation of Coumarin-based Compounds Targeting Keap1-Nrf2 Pathway Involved in the Development of Alzheimer’s Disease
Authors: Gote Sharmila , Dubey Sonal , Nargund Shachindra L. , Thapa Shankar
Published: January 2025

Background:

The Nrf2-Keap1 pathway holds great significance in antioxidant defense
mechanisms. This pathway has emerged as a pivotal clinical target for the development of highly
potent therapeutic agents for neurodegenerative diseases. The Keap1-Nrf2 inhibitors covalently bind
to the Keap1 protein, leading to modifications in cysteine residues. This computational study focused
on the investigation of coumarin derivatives through in silico methods.

Objective:

The aim of this study was to conduct an in silico exploration of coumarin derivatives as
potential Keap1 inhibitors in the context of Alzheimer's disease.

Methods:

Coumarin derivatives were obtained from the ZINC 15 database in the sdf (simple dimension
file) format. The docking process utilized the crystal structure of the Keap1 protein (PDB ID:
4XMB), which was sourced from the RCSB Protein Data Bank (https://www.rcsb.org/). Molecular
docking was conducted using the AutoDock Vina1.5.7 software. Following this, the top ten coumarin
derivatives with the highest binding energy underwent an ADME study, SAR study, toxicity
study, and medicinal chemistry score study. In the in silico study, resveratrol was employed as the
standard drug.

Results:

We sourced ligand molecules from the ZINC 15 database in pdf format, while the Keap1
protein, identified by its PDB ID: 4XMB, was obtained from the RCSB website
(https://www.rcsb.org/) in pdb format. We used resveratrol as the standard drug for the molecular
docking analysis. The in silico molecular docking procedures were conducted using Autodock Vina
1.5.7 software.

Conclusion:

Among the 75 coumarin derivatives assessed, 9 exhibited the most favourable binding
energies towards Keap1. The top 9 derivatives of coumarin were further scrutinized in terms of their
pharmacokinetic profiling and evaluation of bioactivity. Both compounds S1 and S2 exhibited noteworthy
docking scores of -7.44 and -7.52 Kcal/mol, respectively. Our investigation revealed that all
nine derivatives of coumarin exhibited properties characteristic of drug-like compounds. The investigation
conducted suggested the potential development of coumarin derivatives as effective Keap1-
Nrf2 inhibitors. Further validation of the computational findings requires both in vivo and in vitro
studies.