bluuebunny/crossref_metadata_2025 huggingface dataset:
The present scenario of artificial intelligence and machine learning in financial services: An empirical study
Authors: Khan Mohammed Arshad , Alhumoudi Hamad , Alakkas Abdullah , Minhaj Syed Mohd , Alhashem Mohammed
Published: October 2024

The financial services industry is experiencing a swift adoption of artificial intelligence (AI) and machine learning for a variety of applications. These technologies can be employed by both public and private sector entities to ensure adherence to regulatory requirements, monitor activities, evaluate data accuracy, and identify instances of fraudulent behavior. The utilization of artificial intelligence (AI) and machine learning (ML) has the potential to provide novel and unforeseen manifestations of interconnectivity within financial markets and institutions. This can be represented by the adoption of previously disparate data sources by diverse institutions. The researchers employed convenience sampling as the sampling method. The form was filled out over the period spanning from July 2023 to February 2024, and it was designed to be both anonymous and accessible through online and offline platforms. To assess the reliability and validity of the measurement scales and evaluate the structural model, we employed Partial Least Squares (PLS) for model validation. Specifically, we have used the software package Smart-PLS 3 with a bootstrapping of 5000 samples to estimate the significance of the parameters. The results indicate a positive and direct connection between artificial intelligence (AI) and either financial services or financial institutions. On the contrary, machine learning (ML) exhibits a strong and positive association among financial services and financial institutions. Similarly, there exists a positive and direct connection between AI and investors, as well as between ML and investors.
Impacts of the European Union deforestation regulation on Vietnam’s coffee supply chains
Authors: Mai Dang Hai
Published: October 2024

In June 2023, the European Union (EU) enacted the Regulation on Deforestation-Free Products (EUDR), which requires agricultural products to enter and leave its territory free from deforestation. The regulation applies to seven commodities: cattle, cocoa, coffee, oil palm, rubber, soya, wood, and their derivative products. The regulations apply to seven commodities: cattle, cocoa, coffee, oil palm, rubber, soya, wood, and their derivate products grown or raised on land subject to deforestation or forest degradation will be banned from entering the EU market. EUDR will have a significant impact on Vietnam’s Exports of Agricultural Products. Coffee, rubber, wood, and wood products are the main industries in Vietnam affected by this regulation, as the country exports a substantial portion of these products to EU markets. This article examines the impacts of the European Union Deforestation Regulation on Vietnam’s coffee supply chains, discusses possible unintended effects on coffee farmers and farming households, and explores strategies to mitigate these negative impacts while highlighting specific challenges that may arise. The results of this study contribute to a better understanding and management of Vietnam’s agricultural exports, particularly in the coffee sector. Additionally, the article gives some recommendations for improving Vietnam’s laws and policies on deforestation-free products.
Scientific knowledge in the 21st century on social and economic factors that influence mortality due to tuberculosis: A bibliometric review
Authors: Santisteban Samuel Collantes , Santisteban Luis Jaime Collantes , Alvarado Kelly Scarlett Collantes , Sosa Tomasa Vallejos , Lescano Luis Alberto Reyes , Pérez Bertha Beatriz Peña , Crisanto Carlos Ulices Vásquez
Published: October 2024

This research presents a bibliometric review of scientific production on the social and economic factors that influence mortality from tuberculosis between the years 2000 and 2024. The analysis covered 1742 documents from 848 sources, revealing an annual growth of 6% in scientific production with a notable increase starting in 2010, reaching a peak in 2021. This increase reflects growing concern about socioeconomic inequalities affecting tuberculosis mortality, exacerbated in part by the COVID-19 pandemic. The main authors identified in the study include Naghavi, Basu and Hay, whose works have had a significant impact on the field. The most prominent journals in the dissemination of this research are Plos One, International Journal of Tuberculosis and Lung Disease and The Lancet. The countries with the greatest scientific production include the United States, the United Kingdom, India and South Africa, highlighting a strong international contribution and a global approach to the problem. The semantic development of the research shows a concentration on terms such as “mortality rate”, “risk factors” and “public health”, with a thematic map highlighting driving themes such as “socioeconomic factors” and “developing countries”. The theoretical evolution reflects a growing interest in economic and social aspects to gender contexts and associated diseases. This study provides a comprehensive view of current scientific knowledge, identifying key trends and emerging areas for future research.
Ontología del impacto: una historia del futuro en Crash (David Cronenberg, 1996)
Authors: Gómez García Iván
Published: October 2024

David Cronenberg estrenó en 1996 la adaptación de Crash, una novela de J. G. Ballard publicada en 1973. El film retrataba un universo frío y distópico en donde los afectos quedaban sustituidos por las heridas y los accidentes de automóvil provocados. El propósito del artículo es analizar cómo el director adapta los plantea-mientos morales de Ballard a través de procedimientos narrativos que tratan de traducir en imágenes el ominoso mundo imaginado en la novela y cuál es el efecto de deter-minadas decisiones creativas adop-tadas en la cinta. También se pre-tende analizar cómo ese futuro distópico responde a la tradición de un subgénero que, en sus variantes más críticas, siempre se ha compor-tado como un termómetro de nues-tras inquietudes sociales y un aviso sobre nuestro irrenunciable futuro.
Hacer carne la palabra contaminante: David Cronenberg y El almuerzo desnudo de William Burroughs
Authors: Fernández Pérez Francisco Javier
Published: October 2024

Este artículo establece un análisis comparativo entre El almuerzo desnudo (1959) de William S. Burroughs y su adaptación cinematográfica Naked Lunch (1991), dirigida por David Cronenberg. El trabajo plantea un recorrido por la producción artística de ambos creadores, partiendo de una investigación de lo vírico en sus respectivas obras. A lo largo de este estudio se expondrán las convergencias y las divergencias entre el texto y las imágenes del padre de la Nueva Carne. Para ello acudiremos a distintos elementos dramáticos, narrativos e iconográficos que vertebran el universo de ambos creadores.
Editorial: Blurring Boundaries & Building Community through Critical Awareness, Collective Action, & Creative Pedagogies
Authors: Coats Cala , Alexander Amanda
Published: October 2024

What is the role of art education today; what should our preservice teachers know; what do we wish people outside of the field knew about us; how can we advocate for the importance of our work in the face of so much uncertainty in education broadly; how can our research speak to these questions; and how can we possibly tackle all of this with the amount of responsibilities we carry? Serving simultaneously as teachers, administrators, and researchers in our respective universities, we (Amanda and Cala) discuss these questions regularly. At times, it feels like too much, like we are navigating a cacophony of competing interests, tasks, and politics too accelerated to really be heard or to make a significant difference. But, together, we can be heard, and the articles in this issue provide an inspiring spectrum of approaches and examples of artists and educators engaged in active pedagogies for community connection and historical understanding on a local and global level.
Ethnomycology and Uses of Macrofungi in Brazil: a Bibliometric Review From 2014 to 2024
Authors: Silva Janete Barros da , Barros Flávio Bezerra , Rocha José de Ribamar de Sousa , Barros Roseli Farias Melo de
Published: October 2024

Objective: The objective of the study was to present an overview of ethnomycological publications in Brazil on the use of macrofungal species based on the analysis of their evolution between the years 2014 to July 2024.
 
Theoretical Framework: Ethnomycology is research field that goes beyond traditional and scientific knowledge and has the purpose of documenting the customs and the material and spiritual culture of different communities with respect to fungi.
 
Method: We conducted a bibliometric analysis with data obtained from four databases: Scielo, Google Scholar, ScienceDirect and PubMed. The Prisma 2020 method of meta-analyses was used.
 
Results and Discussion: The central sub-themes of the retrieved studies were related to Brazilian ethnomycology, perception of medicinal and/or edible use of macrofungi in Brazil, as well ethnomicological perception of macrofungi in schools in Brazil.  
 
Research Implications: The region with the highest number of publications was the Northeast (46.6%), with six studies, five of them in the state of Piauí, followed by the North, with four studies. The sub-theme "perception and uses of macrofungi" stood out (78%).
 
Originality/Value: The studies focused on rural and urban communities in Brazil. We conclude that more efforts are needed to disseminate Ethnomycology and the gaps between humans and fungi, especially considering the lack of studies in some states of Brazil.
Деятельность инновационной естественнонаучной педагогической площадки как связь между образованием и наукой
Authors: Шишлова Марина Александровна
Published: October 2024

Статья посвящена организации и деятельности инновационной площадки «Современные подходы к организации исследовательской деятельности школьников в естественнонаучном образовании». Данная площадка является особой формой организации совместной деятельности Школы педагогики Дальневосточного федерального университета и инновационно-активных образовательных учреждений Приморского края. Цель деятельности инновационной площадки – научное консультирование и методическое сопровождение разработки инновационных проектов, экспериментальная проверка нововведений, обобщение и распространение результатов, внедрение нововведений в практику образования. Деятельность площадки способствует выполнению исследовательских школьных проектов и решению экологических проблем региона.

The article is devoted to the organization and activity of the innovation platform «Modern approaches to the organization of research activities of schoolchildren in natural science education». This site is a special form of organizing joint activities of the School of Pedagogy of Far Eastern Federal University and innovative and active educational institutions of the Primorsky Territory. The purpose of the innovation platform is scientific consulting and methodological support for the development of innovative projects, experimental verification of innovations, generalization and dissemination of results, and the introduction of innovations into educational practice. The site's activities contribute to the implementation of research school projects and the solution of environmental problems in the region.
The struggle for an aesthetic monopoly in the early years of Soviet power
Authors:   Saint-Petersburg University of State Fire Service of EMERCOM of Russia named after Hero of the Russian Federation Army General E. N. Zinichev, RYABOV Aleksander V.
Published: October 2024

The article analyzes cultural development in the first post-revolutionary years. It examines a short but extremely meaningful period when, in an atmosphere of revolutionary enthusiasm, nihilists from art try to destroy the pillars of realism and create new, proletarian art. In the context of the revolution rejection and the emigration of the creative intelligentsia of tsarist Russia, as well as due to the involvement of RCP(b) leadership in the fronts of the civil war, the struggle for an aesthetic monopoly unfolds among artists of leftist movements.
The All-Russian physical culture and sports complex “Ready for labor and defense” (GTO) as means for assessing EMERCOM of Russia employees’ physical fitness
Authors:   State Fire Academy of EMERCOM of Russia, ELTEMEROV Aksar A. , RAZNITSYN Vitaly A. ,   State Fire Academy of EMERCOM of Russia, SEDUNOV Mark A. ,   State Fire Academy of EMERCOM of Russia, KUREPKINA Anna A. ,   State Fire Academy of EMERCOM of Russia
Published: October 2024

The article proposes a hypothesis for using the GTO as an alternative means for assessing EMERCOM of Russia employees’ physical fitness. The purpose of the research is to confirm the proposed hypothesis. In the research a comparative analysis of criteria for assessing physical qualities through control physical exercises by age categories of the GTO and EMERCOM of Russia has been conducted; high level of requirements for the standards of the All-Russian Physical Culture and Sports Complex “Ready for Labor and Defense” (GTO) has been identified, which corresponds to approving the proposed hypothesis; the need to amend regulations governing assessment criteria for the personnel of Federal Fire Service of State Fire Service of EMERCOM of Russia has been substantiated. As a result of the study, it has been perceived that the fact of receiving the “golden badge” of the GTO should be verified when passing tests assessing the level of physical fitness of EMERCOM of Russia employees.
Training in fire rescue operations using a fire rescue rope: problems and prospects
Authors:   State Fire Academy of EMERCOM of Russia, BONDARENKO Mikhail V. , KHARITONOV Aleksander V. ,   State Fire Academy of EMERCOM of Russia
Published: October 2024

The article examines issues related to the specifics of the professional training process within the framework of mastering professional training exercises in carrying out rescue operations at height using a fire rescue rope. Possible means of rescuing people in a fire are considered. Using 25 years of observation experience and having conducted pedagogical monitoring of the educational process in terms of the disciplines of professional cycle: fire marching drill and smoke divers training, the authors focus on the problems and prospects of training in the use of a fire rescue rope when carrying out rescue operations in a fire. The results of the study of the training process for two basic exercises of professional training are presented.
Digital compass: ethics, security, and empathy on the Internet
Authors:   Saint-Petersburg University of State Fire Service of EMERCOM of Russia named after  Hero of the Russian Federation Army General E. N. Zinichev, SHLYAPNIKOV Viktor V.
Published: October 2024

The article analyzes current issues of responsible behavior in the digital space. It is claimed that digital ethics is a necessary adjustment of ethical ideas with risks and opportunities of the Internet taken into account in order to make the digital world safer and more inclusive. The importance of collective efforts to ensure ethical behavior on the Internet and develop strategies to combat online harassment is emphasized. The conclusion is made that developing empathy in the digital environment contributes to more effective emotional online interaction and creation of a positive online culture.
Aquisição da morfologia de aspeto gramatical em português por falantes bilingues de chinês e português: dados de compreensão
Authors: Bragança Bruna
Published: October 2024

O presente estudo visa investigar como as crianças bilingues de chinês e português compreendem o progressivo (imperfetivo) e o pretérito perfeito (perfetivo) em diferentes contextos em português. Pretende-se também compreender se os fatores extralinguísticos, como a experiência linguística e a idade de início de exposição regular ao português, influenciam a aquisição e a compreensão da morfologia aspetual. Assim, elaborámos uma tarefa de seleção de imagem, realizada por 43 falantes bilingues de chinês e português e 43 falantes nativos de português, entre os 6 e os 12 anos. Dos resultados obtidos observámos que estes falantes adquirem as propriedades aspetuais numa determinada sequência, começando por associar o perfetivo aos predicados télicos (accomplishments e achievements) e o progressivo a predicados durativos (atividades e accomplishments), verificando-se as principais dificuldades nos itens de achievements no progressivo, como prediz a Hipótese da Primazia do Aspeto. Embora os fatores extralinguísticos mostrem correlação com o nível de escolaridade dos falantes, não parecem influenciar significativamente a compreensão destas propriedades aspetuais.
Capturing and labeling CO2 in a jar: Mechanochemical 17O-Enrichment and ssNMR study of Sodium and Potassium (bi)carbonate Salts
Authors: Peach Austin , Fabregue Nicolas , Erre Celia , Métro Thomas-Xavier , Gajan David , Mentink-Vigier Frédéric , Scott Faith , Trébosc Julien , Voron Florian , Patris Nicolas , Gervais Christel , Laurencin Danielle
Published: October 2024

With the rapid increase in temperatures around the planet, the need to develop efficient means to reduce CO2 emissions has become one of the greatest challenges of the scientific community. Many different strategies are being studied worldwide, one of which consists in trapping the gas into porous materials, either for its short- or long-term capture and storage, or its re-use for the production of value-added compounds. Yet, to further the development of such systems, there is a real need to fully understand their structure and properties, including at the molecular-level following the physisorption and/or chemisorption of CO2 (which can lead to various species, including carbonate and bicarbonate ions). In this context, 17O NMR naturally appears as the analytical tool of choice, because of its exquisite sensitivity to probe subtle differences in oxygen bonding environments. To date, it has scarcely been used, due to the very low natural abundance of 17O (0.04%), and the absence of commercially available 17O-labeled compounds adapted to such investigations (e.g., 17O-CO2(g), or 17O-enriched Na- and K- (bi)carbonate salts, which can be readily transformed into CO2). Herein, we demonstrate how, using mechanochemistry, it is possible to enrich with 17O a variety of Na- and K- (bi)carbonate salts in a fast, economical, scalable, and user-friendly way. The high enrichment levels enabled recording the first high-resolution 17O ssNMR spectra of these phases at different temperatures and magnetic fields. From these, the typical spectral signatures of (bi)carbonate ions could be obtained, showing their strong sensitivity to local dynamics. Lastly, we show how thanks to the selective 17O-labeling, singular aspects of the reactivity of carbonates in materials can be unveiled using in-situ 17O ssNMR. In the long run, it is expected that this work will open the way to more profound investigations of the structure and properties of carbon capture and storage systems, and, more generally speaking, of functional materials containing carbonates.
Visible Light Mediated Click Reactions of Diazoenals: Direct Access to Bicyclo[4.1.0]heptane-Fused Polycycles with Potential Application as Insulin Aggregation Inhibitors
Authors: Chatterjee Saikat , Mahata Kamakshya Prasad , Khan Mohd Shavan , Das Anirban , Yadav Jyoti , Saraogi Ishu , Katukojvala Sreenivas
Published: October 2024

Visible light-induced photoclick chemistry is a powerful synthetic tool, combining the precision of photochemistry with the modularity of click reactions. Herein, we report a novel class of bench-stable acceptor-acceptor diazo compounds diazoenals, that enable visible light-mediated photoclick reactions with vinyl arenes, generating cyclopropane-fused tetralin, decalin, and tetrahydrophenanthrene motifs having up to five stereocenters with excellent yield and diastereoselectivity, under aqueous conditions. These diazoenals exhibit enhanced photophysical properties, absorbing in the visible region, and upon irradiation, generate free enalcarbene intermediates that facilitate a selective mode of reactivity. Notably, these new class of photoclick products were found to be effective inhibitors of insulin aggregation, and the enal-tethered cyclopropylcarbazole completely rescued HEK293T cells from insulin fibril-mediated toxicity, highlighting the bioactive and biocompatible nature of this molecule. This work underscores the versatility of diazoenals in visible light-driven transformations, particularly in photoclick reactions, offering a sustainable and biocompatible synthetic platform for complex molecular architectures with potential bio-applications.
Regulating hydrogel mechanical properties with an electric field
Authors: Cai Hongyi , Tepermeister Max , Yuan Chenyun , Silberstein Meredith N.
Published: October 2024

Stimuli-responsive polymeric materials have attracted significant attention due to their ability to change properties in response to various external stimuli. Using an electric field as the stimulus is of particular interest as it possesses the potential for seamless integration of materials with electronic systems. While many materials with electric field responsive actuation have an associated mechanical property change, it is beneficial to develop materials that exhibit mechanical property changes without accompanying significant shape deformation. To address this challenge, here we designed a semi-interpenetrating polymer network (semi-IPN) hydrogel system containing both polyelectrolytes and salt ions, which enables electric field induced changes in mechanical properties while minimizing actuation. We first successfully verified the viability of our design by removing salt ions through a diffusion-only method where we witnessed the stiffness increased to 4.5 times the initial value while still being highly deformable. After this, we applied an electric field to transport the salt ions out of the hydrogel, as shown by both Raman spectroscopy and scanning electron microscopy. We were able to show a time-dependent stiffness increase, the maximum of which was 5 times the original stiffness. We quantified ion transport and water-splitting in the hydrogel by both experiments and simulations. Finally, we showed functional system reversibility by reversing the direction of the current to reinject salt ions into the semi-IPN hydrogel and reducing its stiffness to below the initial value. It's worth noting that our simulations enable us to understand the governing mechanisms behind ion generation and salt transport that leads to mechanical property changes. This research can possibly find applications in soft robotics and also inspire the development of bio-compatible electronics related devices.
Integration of Transferable Prediction of Retention Index and Universal Library Search Enhances Exposome Identification Probability in RPLC/HRMS-Based Non-Targeted Analysis
Authors: NGAN Hiu Lok , Turkina Viktoriia , van Herwerden Denice , Yan Hong , Cai Zongwei , Samanipour Saer
Published: October 2024

In non-targeted analysis, spectral matching is one of the most commonly used approaches for annotation or identification of the chemicals of emerging concern in complex samples via high-resolution mass spectrometry (HRMS). Conventional confidence assessment systems struggle to resolve multiple hits during library searches, resulting in ambiguities in identification. In this study, a combination of information extracted from the MS/MS spectra and calibrate-free predicted retention indices (RIs) yielded the probability of true positive (TP) for each hit by machine learning (ML), including a pre-trained molecular fingerprint (MF)-to-retention index (RI) model, a cumulative neutral loss (CNL)-to-RI model trained by 693,681 spectra, and a binary classification model that incorporated 5 significant features from the universal library search algorithm and the difference between the predicted RIs from both RI models. Our results demonstrated a high correlation (R2 = 0.96 and 0.88) between MF-derived and CNL-derived RI values for the model training and testing datasets, respectively, suggesting reduced RI error for TP annotations. When applied to pesticides-spiked samples, the k-nearest neighbors algorithm achieved a weighted F1 score of 0.65 and a Matthews correlation coefficient of 0.30. Integrating ML with reference spectral match enhanced the identification probability of exposome by half in a proof-of-concept study in pesticide contaminants in black tea. This study highlights the potential of integrating ML with reference library matching to enhance the identification probability of contaminants.
Biofuels flash point modelling using neural networks
Authors: Prado De Omena Souza Maurício , Costa do Nascimento Débora , Tavares Volpatto Diego , Gondran Ribeiro Gustavo , Marinho Barbosa Neto Antonio , Conceição da Costa Mariana
Published: October 2024

Currently, there is an intense effort to find new renewable energy resources able to reduce the dependence on fossil fuels. This search is motivated by several factors, such as environmental hazards caused by petroleum derivatives, price fluctuations, and primarily because fossil fuels are less sustainable when compared to other energy sources. For instance, in the Brazilian energy matrix, biodiesel and bioethanol are established renewable fuels. In addition, other biofuels, such as butanol, have shown potential as alternative energy resources, driving a growing demand for research into their safety and efficiency. To characterize the flammability of liquid fuels, the Flash Point (FP) is an important property and its assessment plays a relevant role in safety and combustion process design. However, its experimental measurement takes time, and resources, making the development of mathematical models for predicting this property a compelling approach. The usage of artificial neural networks (ANNs) for predicting thermodynamic properties has been explored in recent years, posing them as feasible data-driven alternatives to estimate FP values for a range of physical conditions. In this context, the main goal of this work is to evaluate the ANN predictive capacity of FP for biofuels and their respective blends. For this purpose, 456 experimental points from the literature were used for different systems involving esters, alcohols, and hydrocarbons, along with 34 newly acquired experimental points. Accordingly, a robust model was developed using an 80/20 train-test splitting strategy during a cross-validation loop. The model relied exclusively on three crucial input features: the mixture's average molar mass, the vapor pressure natural logarithm and the experimental method. The final architecture featured three hidden layers, with 16, 32 and 16 neurons, in which the Rectified Linear Unit (ReLU) activation function is employed. This model resulted in Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) values of 4.22 K and 3.09 K, respectively, for 98 unknown values, i.e., those not used during model training. Despite the simplicity, the model achieved a satisfactory level of accuracy, with the best and worst MAE values of 1.51 K and 3.63 K. The model also performed decently when compared to thermodynamical models that utilizes UNIFAC activity coefficient model. This fact demonstrates the approach's potential, considering that with almost 500 experimental points, the ANN algorithm obtained a generalized model for most of the analyzed data.
Fisetin as a Blueprint for Senotherapeutic Agents — Elucidating Geroprotective and Senolytic Properties with Molecular Modeling
Authors: Spiegel Maciej
Published: October 2024

Targeting senescent cells and the factors that accelerate this pathological state has recently emerged as a novel field in medicinal chemistry. As attention shifts to synthetic substances, studies on natural agents are often overlooked. In this paper, we present a detailed computational modeling study that encompasses quantum mechanics and molecular dynamics to elucidate the senotherapeutic activity of fisetin. The mitochondrial environment, serving as a proxy for senescence, received special attention. Throughout the study, fisetin’s outstanding geroprotective properties—exhibiting significant potential against •OOH, O2•–, and •OH radicals, surpassing those of Trolox or ascorbate—were identified. Furthermore, fisetin demonstrated a high capacity to restore oxidatively damaged biomolecules to their pristine forms, thereby renewing the functionality of proteins and amino acids. The senolytic properties were examined in terms of Bcl–2 and Bcl–xL inhibition. The results indicated that fisetin not only binds effectively to these proteins but also, with appropriate modifications, may exhibit specific selectivity toward either target. This study highlights fisetin’s remarkable activity in these areas and provides a molecular description of the underlying processes, paving the way for future research.
Highly Strained Tricyclic Oxanorbornenes with Uncommon Reactivity Enable Rapid ROMP for High-Performance Polyenes
Authors: Grabbet Björn , Taiem Abdullah , Cioc Răzvan , Bruijnincx Pieter , Thevenon Arnaud
Published: October 2024

Bio-derived monomers, readily available from biomass via atom- and redox-efficient processes, will need to play a major role in the development of sustainable polymeric materials. Here, we show that a family of tricyclic monomers, efficiently made from bio-based furans via Diels-Alder chemistry, allows the production of polyenes with diverse thermo/physical properties through Ring Opening Metathesis Polymerization (ROMP). Via small structure variations, we offer insight into the intricacies of monomer design and implications for polymerization. Notably, the thermostable polyenes all show very similarly high Head-to-Tail regioregularities, trans-linkage isomerism distributions and narrow dispersities. In addition, the monomers exhibit rare reactivity with ethyl vinyl ether, which can be used chain transfer agent, making telechelic polyenes accessible. The monomers do differ substantially in polymerization rate, spanning two orders of magnitude, in extent of molecular weight control and in the properties of the resulting amorphous polymers. With glass transition temperatures ranging from 116 to 217 °C and degradation temperatures succeeding 350 °C, these materials are among the highest performing biobased homopolymers reported. We elucidate these variations, demonstrating that ROMP is profoundly influenced by subtle structural changes in the monomers.
Localized Boron Sites in Large Pore Borosilicate Zeolite EMM-59 Determined by Electron Crystallography
Authors: Cho Jung , Kapaca Elina , Wang Bin , Mabon Ross , Vroman Hilda B , Zou Xiaodong , Burton Allen W , Willhammar Tom
Published: October 2024

The structure of a novel large pore borosilicate zeolite EMM-59 (|C19H42N2|8[B5.2Si218.8O448]) with localized framework boron sites was determined using three-dimensional electron diffraction (3D ED) and scanning transmission electron microscopy (STEM) imaging. EMM-59 was synthesized using 2,2-(cyclopentane-1,1-diyl)bis(N,N-diethyl-N-methylethan-1-aminium) as an organic structure-directing agent (OSDA). The framework has a three-dimensional intersecting channel system delimited by 12 × 10 × 10-ring openings and contains 28 T and 60 oxygen atoms in the asymmetric unit, making it the most complex monoclinic zeolite. The 3D ED data collected from as-made EMM-59 under cryogenic conditions revealed three symmetry-independent locations of the OSDAs and STEM imaging showed that the OSDAs are flexible and adopt different molecular conformations in channels with identical structural environments. The framework boron atoms were exclusively found in T-sites of 4-rings, especially those shared by multiple 4-rings. The tetrahedral BO4 with the highest boron content (38.6%) was transformed into a trigonal BO3 after the OSDAs were removed upon calcination. Its location and the boron content could also be identified by STEM imaging.
Morphology determination of luminescent carbon nanotubes by analytical super-resolution microscopy approaches
Authors: Lambert Benjamin , Kerkhof Hadrien , Flavel Ben , Cognet Laurent
Published: October 2024

The ability to determine the precise structure of nano-objects is essential for a multitude of applications. This is particularly true of single-walled carbon nanotubes (SWCNTs), which are produced as heterogeneous samples. Current techniques used for their characterization require sophisticated instrumentation, such as atomic force microscopy (AFM), or a compromise on accuracy. In this paper, we propose to use super-resolution microscopy (SRM) to accurately determine the morphology (orientation, length and shape) of individual luminescent SWCNTs. We generate super-resolved images using three recently published SRM analytical software packages (DPR, eSRRF and MSSR) and metrologically compare their performance to determine the morphological properties of SWCNTs. For this, ground-truth information on nanotube morphologies were obtained using polarization measurements and AFM to directly correlate the results from SRM at the single particle level. We show a more than 4-fold improvement in resolution over standard photoluminescence imaging, revealing hidden morphologies as efficiently as AFM. We finally demonstrate that DPR, and eventually eSRRF, can effectively assess SWCNT length distribution in a much faster and more accessible way than AFM. We believe that this approach can be generalized to other types of luminescent nanostructures and thus become a standard for rapid and accurate characterization of samples.
3D2SMILES: Translating Physical Molecular Models into Digital DeepSMILES Notations Using Deep Learning
Authors: Guo Wenqi , Du Yiyang , Shehata Mohamed
Published: October 2024

Physical molecular models are widely used in educational settings for teaching organic and other branches of chemistry, offering an intuitive understanding of molecular structures. Conversely, while less intuitive, virtual models provide additional functionalities, such as retrieving molecular names and other properties. Currently, to the best of our knowledge, there is a gap between 3D molecular models and their digital counterparts. This paper introduces a computer vision model designed to bridge this gap by converting images of physical molecular models into their digital DeepSMILES representations. This conversion facilitates further information retrieval, enhancing educational utility. We developed synthetic and real datasets to train our model and evaluated its performance across various dataset combinations. Additionally, we attempted to improve the model’s accuracy by multi-image input and beam search. We achieved 62.0% top1 accuracy and 80.3% top-3 accuracy with beam search and multi-image input on our validation set. We also explored the model’s characteristics, such as explainability by saliency maps, and examined its calibration. We also discussed the model’s limitations and directions for future research.
Sleep Quality in School-Aged Children: The Role of Environmental Factors and Screen Time
Authors: Pasupathy Dr. Sowntharya , Anantharaaman Dr. Kalaivani , Garg Dr. Manasi , P Dr.  Soundararajan , Sugumaran Dr.  Arun
Published: October 2024

Sleep plays a vital role in the optimal functioning of our body and is crucial for overall well-being. However, many parents are unaware of the negative consequences of sleep deprivation in children. This study examines factors affecting sleep in children and their correlation with screen time. The aim is to evaluate the relationship between screen time and environmental factors impacting sleep quality among school-aged children.A cross-sectional observational study was conducted on children aged 6 to 12 years. Sleep quality was assessed using a 22-item, pre-validated, parent-administered Children’s Sleep Habits Questionnaire (CSHQ). Contributing factors, including a screen time questionnaire, were gathered from parents. Children with pre-existing sleep disorders, neurobehavioral disorders, and chronic illnesses were excluded. A CSHQ score above 41 was considered abnormal, indicating a sleep problem. Data were analyzed using the Chi-square test with SPSS version 20.0.In this study, 40.3% of children experienced sleep disturbances. The total mean sleep score was 39.56 ± 14.84, with private school children showing greater disruptions (41.78 ± 12.96) compared to public school children (37.14 ± 16.33; p = 0.001). Significant correlations were found between sleep quality, screen time exposure, and environmental factors such as lower socio-economic status, bed sharing, and room sharing.This study highlights that both excessive screen time and adverse environmental conditions negatively impact children's sleep quality. Efforts to increase awareness among parents, educators, and healthcare providers are needed to reduce sleep disturbances.
Multi-faceted traditional and ritual resources of africa
Authors: Amal J. Eronimus , Mary Vanaja
Published: October 2024

People who wrote about Africa had western-mindedness pushing their history back from the real stories all through the years till the twentieth century. The Africans were mentioned by the earlier writers as barbarians and animals. The real history of the black continent is unearthed by African historians and scholars with proper proof and authentication. The bias notion on the African ancient races could be washed off by the significant documents produced from archeological and historical evidence. The objective of this paper is to display the historically hidden treasures of African tradition and the rituals practiced in African regions that could play a different role in rethinking the study of the African continent.
Factors of negative psychic state, anxiety, and depression of waterlogged farmers in Bangladesh: A farming disaster
Authors: Md. Ripul Kabir , Md. Rabiul Islam
Published: October 2024

Farmers undergo severe mental pressure due to socioeconomic crises during waterlogging. This study explores the factors of mental agonies of waterlogged farmers. It was a quantitative study, and a survey research design was employed. Data were collected from 480 waterlogged farmers from March to May 2023 based on simple random sampling. A five-point Likert scale for negative psychic states and a four-point Likert scale for anxiety and depression were used to understand the measurement of the mental health state of the farmers. Data were analyzed with descriptive and inferential statistics such as the Mann-Whitney U and the Kruskal-Wallis H tests to indicate the differences in negative psychic state, anxiety, and depression of the waterlogged farmers. The study revealed that 99% of the farmers were worried, nearly 72% were anxious about heavy rainfall, and more than 81% fell asleep while working during waterlogging. The negative psychic state of the farmers was moderate (19-29), anxiety was high (12≥), and depression was mild (≤7). Aged farmers were more nervous (z = -5.93) and tired (z = -5.08). Farmers living in Kaccha houses were found to be more restless (H = 15.89). Anxiety with heavy rainfall (z = -9.23) was more prevalent among those farmers who suffered from waterlogging for 6 months a year. Farmers who suffered ≤6 months of waterlogging (z = -5.41) were more depressed with poor appetite. Different types of psychosocial health problems (i.e., anxiety and depression) were prevalent among the waterlogged farmers, and heavy rainfall, living houses, and duration of waterlogging assisted these. The opportunities for employment and arrangements for medical treatment during waterlogging should be available for them. GO-NGO intervention can alleviate the waterlogged farmers' vulnerable situations.
Exploring the Role of CDKN2A in Human Cancers Using an Integrative Pan-Cancer Approach
Authors: Raza Syed Hussain , Ali Akbar
Published: October 2024

This study aims to investigate the expression variation, biological significance, and prognostic value of cyclin-dependent kinase inhibitor 2A (CDKN2A) as a common biomarker across 33 malignancies. Various bioinformatics tools, including UALCAN, GEPIA2, OncoDB, cBioPortal, TIMER2, STRING, DAVID, and the GSCA database, were employed for this pan-cancer analysis. The results revealed significant up-regulation of CDKN2A in 24 major human cancer subtypes (P < 0.05). This up-regulation was strongly associated with poor overall survival and tumor dissemination, particularly in uterine corpus endometrial carcinoma (UCEC), colon adenocarcinoma (COAD), and liver hepatocellular carcinoma (LIHC), highlighting its potential as a prognostic biomarker. Moreover, CDKN2A overexpression was linked to diverse clinicopathological characteristics of patients. Genetic alterations recorded via cBioPortal indicated minimal mutation rates in COAD, LIHC, and UCEC. Additionally, promoter methylation, drug sensitivity, and enrichment analyses were performed to explore associations with CDKN2A expression. Overall, the findings emphasize the potential of CDKN2A as a shared diagnostic and prognostic biomarker, as well as a therapeutic target in COAD, LIHC, and UCEC, particularly in patients with varied clinicopathological traits.
Clinical Efficacy of Transconjunctival Lower Eyelid Blepharoplasty for Treating Lower Eye Bags
Authors: Wang Guanghui
Published: October 2024

Objective: To analyze the clinical effect of transconjunctival lower eyelid blepharoplasty for the treatment of lower eye bags. Methods: Retrospective analysis was done on 50 cases of patients with lower eye bags admitted to the hospital from August 2022 to August 2023. The control group received transcutaneous lower eyelid blepharoplasty, while the observation group received transconjunctival lower eyelid blepharoplasty. The efficacy, surgical indexes, and the difference in complications of the two groups were compared. Results: The efficacy of the observation group was higher than that of the control group (P < 0.05); the surgical time and postoperative skin recovery time of the observation group were shorter than that of the control group (P < 0.05); the rate of postoperative complications after blepharoplasty in the observation group was lower than that in the control group (P < 0.05). Conclusion: Transconjunctival lower eyelid blepharoplasty for the treatment of lower eye bags is safe and effective, which is favorable to the recovery of patients’ skin appearance.
Construction and Practice of Teaching Evaluation System Based on Data Mining
Authors: Zong Yanfang
Published: October 2024

The teaching quality evaluation system based on data mining technology can accurately and fairly identify the core driving factors to improve teaching quality. This method adopts the analysis of big data correlation rules, including data collection and processing preparation steps, builds the data warehouse of association rules, and then generates an educational quality evaluation framework using the principle of data mining. Based on this, this paper analyzes the construction design and method of the teaching evaluation system under data mining, hoping to provide help for the improvement of the teaching evaluation system and the improvement of teaching quality.
Research on the Application of New Energy Photovoltaic Power Generation Technology
Authors: Liu Weimin , Qi Yue
Published: October 2024

With the rapid development of technology and economy, the demand for energy in society is increasing. People are gradually realizing that fossil energy is limited, and the development of new energy may also face situations where it cannot meet social needs. The problem of resource shortage is gradually exposed to people. Therefore, the development of usable new energy has become an urgent problem for society to solve. At present, electricity is the most widely used energy source worldwide and photovoltaic power generation technology is gradually becoming well-known. As an emerging industry, the development of photovoltaic power generation still requires continuous promotion by national and social policies to be extended to various industries and ensure the stability of its energy supply. This article mainly outlines the principles, characteristics, and advantages of photovoltaic power generation, and briefly explains the current technology types and application aspects of photovoltaic power generation to contribute to its promotion and better serve all aspects of social life with new energy.
Innovative Scientific Discoveries: The Role of Intelligent Computing in the Fifth Paradigm Shift
Authors: Liu Zhiyi
Published: October 2024

This article explores the key role of intelligent computing in driving the paradigm shift of scientific discovery. The article first outlines the five paradigms of scientific discovery, from empirical observation to theoretical models, then to computational simulation and data intensive science, and finally introduces intelligent computing as the core of the fifth paradigm. Intelligent computing enhances the ability to understand, predict, and automate scientific discoveries of complex systems through technologies such as deep learning and machine learning. The article further analyzes the applications of intelligent computing in fields such as bioinformatics, astronomy, climate science, materials science, and medical image analysis, demonstrating its practical utility in solving scientific problems and promoting knowledge development. Finally, the article predicts that intelligent computing will play a more critical role in future scientific research, promoting interdisciplinary integration, open science, and collaboration, providing new solutions for solving complex problems.
Considerations for Planning Charging Stations on College Campuses: A Focus on Safety and Economy
Authors: Liang Qihong , Lai Ying
Published: October 2024

As intelligent networked cars become increasingly integrated into people’s lives, the charging infrastructure of new energy vehicles is becoming a significant factor in the development of the new energy vehicle market. In light of the rapid growth of this market, the problem of charging stations is gradually becoming apparent. This paper puts forward a charging station planning idea. Firstly, a forecast of the charging demand must be made. Subsequently, the economic viability, safety, ease of use for faculty and staff, and the rapid development of new automotive technology must be taken into account. Finally, research and analysis of the actual data must be carried out following the requirements of the different college campuses.
Research on Heterogeneous Information Network Link Prediction Based on Representation Learning
Authors: Zhao Yan , Rao Weifeng , Hu Zihui , Zheng Qi
Published: October 2024

A heterogeneous information network, which is composed of various types of nodes and edges, has a complex structure and rich information content, and is widely used in social networks, academic networks, e-commerce, and other fields. Link prediction, as a key task to reveal the unobserved relationships in the network, is of great significance in heterogeneous information networks. This paper reviews the application of presentation-based learning methods in link prediction of heterogeneous information networks. This paper introduces the basic concepts of heterogeneous information networks, and the theoretical basis of representation learning, and discusses the specific application of the deep learning model in node embedding learning and link prediction in detail. The effectiveness and superiority of these methods on multiple real data sets are demonstrated by experimental verification.