bluuebunny/crossref_metadata_2025 huggingface dataset:
From generation to collection – impact of deposition temperature on charge carrier dynamics of high-performance vacuum-processed organic solar cells
Authors: Pacalaj Richard Adam , Dong Yifan , Ramirez Ivan , MacKenzie Roderick C. I. , Hosseini Seyed Mehrdad , Bittrich Eva , Heger Julian Eliah , Kaienburg Pascal , Mukherjee Subhrangsu , Wu Jiaying , Riede Moritz , Ade Harald , Müller-Buschbaum Peter , Pfeiffer Martin , Durrant James Robert
Published: October 2024

Substrate heating during co-evaporation of bulk heterojunction organic solar cells aids phase separation and improves performance. While recombination remains unaffected, hole transport improves due to more crystalline donor domains.
Perspectives for sustainability analysis of scalable perovskite photovoltaics
Authors: Tian Xueyu , Stranks Samuel D. , Huang Jinsong , Fthenakis Vasilis M. , Yang Yang , You Fengqi
Published: October 2024

We propose a multi-scale analytics and modeling framework to fill the gap in integrating circular solar economy principles with ecosystem and climate commitments, enabling a holistic sustainability analysis of perovskite PVs.
Development, biological evaluation, and molecular modelling of some benzene-sulfonamide derivatives as protein tyrosine phosphatase-1B inhibitors for managing diabetes mellitus and associated metabolic disorders
Authors: Ghareb Nagat , Darwish Khaled M. , Nafie Mohamed S. , Elrayess Ranwa , Abourobe Noha M. , Fattah Shaimaa A. , Hazem Reem M. , Mehanna Eman T. , Elrayess Ranza
Published: October 2024

One benzene-sulfonamide derivative exhibited potent protein tyrosine phosphatase-1B inhibition for managing diabetes mellitus and associated metabolic disorders.
Fuel-influenced nanorod-to-nanosphere transformation of vanadium-doped ZnO and its performance in dye-sensitized solar cells
Authors: Kuppusamy Sasikumar , Mohan Theanmozhi , Gnana kumar G. , Gopinath Chinnakonda S. , Saha Arindam , Michael Robin Jude Vimal
Published: October 2024

PEG-400 fuel-induced morphology transformation of a ZnO–V5% semiconductor nanostructured material achieved 5.4% efficiency using commercial N719 as a dye sensitizer.
One-step synthesis of an organotin-functionalized polyoxometalate@ZIF-67 composite: an effective non-enzymatic colorimetric acetone sensor
Authors: Sun Yang , Su Fang , Zhu Hao-Tian , Li Meng-Xuan , Sang Xiao-Jing , Zhang Lan-Cui
Published: October 2024

One-step synthesis of an organotin-polyoxometalate@ZIF-67 composite as a peroxidase mimic for colorimetric detection of acetone.
Sulfonylcalix[4]arene-based Al4 clusters: three aluminum oxo clusters with different coordinated solvents for the CO2 cycloaddition reaction
Authors: Liu Xiao-Jie , Guo Long-Xue , Xu Wei , Wang Ya-Wen , Tian Yuan-Hang , Zhao Li-Xing , Li Xiao-Yu , Li Jin-Hua , Wang Guo-Ming
Published: October 2024

By using a macrocyclic H4BTC4A-SO2 ligand, we successfully synthesized three Al4 clusters with different solvents, which exhibit different potentials to expose metal active sites for the catalytic reaction. of cycloaddition of carbon dioxide.
Mechanistic insight into Ni(i)-catalyzed regioselective alkene hydroarylation: is it carbonickelation or hydronickelation?
Authors: Tong Wen-Yan , Chen Zhizheng , Qu Shuanglin , Wang Xiaotai
Published: October 2024

DFT calculations reveal a hydronickelation rather than carbonickelation mechanism for the Ni(i)-catalyzed alkene hydroarylation, demonstrating strong theoretical–experimental synergy.
Mechanistic insights into carbonic anhydrase IX inhibition by coumarins from Calendula officinalis: in vitro and in silico approaches
Authors: Alruhaimi Reem S. , Kamel Emadeldin M. , Alnasser Sulaiman M. , Alzoghaibi Mohammed A. , Lamsabhi Al Mokhtar , Mahmoud Ayman M.
Published: October 2024

Calendula officinalis is a valuable source of coumarins with potent carbonic anhydrase IX inhibitory activities.
Molecular engineering of donor–acceptor heptazine-based porous organic polymers for selective photoreduction of CO2 to CO under non-sacrificial conditions in water
Authors: Kumar Amit , Kumar Pravesh , Pandey Durgesh , Saini Neha , Dhingra Kirti , Ghosh Dibyajyoti , Kailasam Kamalakannan
Published: October 2024

This study reports a metal-free heptazine-based catalyst for photocatalytic reduction of CO2 to CO and oxidation of water to hydrogen peroxide in a CO2-saturated aqueous solution without any sacrificial agent.
Structure–performance relationships of lithium-ion battery cathodes revealed by contrast-variation small-angle neutron scattering
Authors: Liu Qingsong , Brenneis Willa , Nagy Gergely , Doucet Mathieu , Lopez Jeffrey , Richards Jeffrey J.
Published: October 2024

Using neutron scattering, we probed lithium-ion battery cathode nanoscale structural features that arise from calendering and solvent addition. We also correlated quantitative component-specific interfacial surface area to long-term performance.
Tuning the affinity of probes with transmembrane proteins by constructing peptide-conjugated cis/trans isomers based on molecular scaffolds
Authors: Hu Jing-Jing , Yang Juliang , Liu Yiheng , Lu Guangwen , Zhao Zujin , Xia Fan , Lou Xiaoding
Published: October 2024

Peptide-conjugated cis/trans isomers were designed. cis-RTP interacts more stably with cell membranes than trans-RTP, and it has shown more excellent properties in inhibiting cell migration and killing cells.
Zinc–iron (Zn–Fe) redox flow battery single to stack cells: a futuristic solution for high energy storage off-grid applications
Authors: Ulaganathan Mani
Published: October 2024

Decoupling of energy and power; depth of discharge; flexible in design; high safety; recyclable.
Enhanced composite controller for PV/PMSG/PEMFC and BESS‐based DC microgrids voltage regulation: Integrating integral terminal sliding mode controller and recursive backstepping controller
Authors: Islam Md. Saiful , Bushra Israt Jahan , Roy Tushar Kanti , Ghosh Subarto Kumar , Oo Amanullah Maung Than
Published: October 2024

The variability of renewable energy sources due to weather patterns often leads to a mismatch between power generation and consumption within microgrids (MGs). This challenge is exacerbated when integrating bio‐renewable units, complicating stability maintenance in MGs. This research work introduces a novel solution to address this issue: a composite controller merging an integral terminal sliding mode controller with a recursive backstepping controller for direct current MGs (DCMGs). The proposed DCMG incorporates solar photovoltaic units, wind farms based on permanent magnet synchronous generators, proton exchange membrane fuel cells fuelled by hydrogen gas, an electrolyser, battery energy storage systems, and DC loads. First, a comprehensive mathematical model for the components within the DCMG is developed to design the proposed composite controller. This controller not only overcomes the inherent limitations and convergence issues of conventional SMCs but also ensures stable DC‐bus voltage and maintains power balance across various operational conditions. Moreover, a fuzzy logic‐based energy management system is introduced to regulate power flow, considering factors like battery state of charge and renewable energy sources' total power output. The control Lyapunov function confirms the DCMG system's asymptotic stability. Finally, the proposed controller's effectiveness is validated through simulations on both MATLAB/Simulink and Arduino Mega 2650 processor‐in‐the‐loop platforms under various operational conditions. In both platforms, the proposed controller surpasses an existing controller in terms of settling time, overshoot, and tracking error of the DC‐bus voltage.
Hybrid switched‐capacitor‐based boost DC–DC converter with reduced voltage stress
Authors: Van Tan Luong , Nguyen Thanh Hai
Published: October 2024

This article presents the new hybrid switched‐capacitor (SC)‐based transformerless DC–DC converter with a high step‐up capability and common ground features. The proposed hybrid SC‐based converter provides low voltage stress across semiconductor devices to utilize MOSFETs with lower Rdson and low voltage ratings. In addition, the diodes in SC cells with low voltage stress can reduce the reverse recovery power loss of the converter. Thus, the overall efficiency of the proposed hybrid SC‐based converter can be increased. The converter circuit, operating principle, and design guidelines of the proposed hybrid SC‐based converter are discussed. To confirm the performance of the proposed hybrid SC‐based converter, a detailed comparison study with the conventional hybrid SC converter is also presented. Finally, a laboratory prototype with 200 W and 25 to 200 V is set up to verify the effectiveness of the proposed hybrid SC‐based converter.
Study on the Variation of Mechanical Properties of Residual Plastic Film Over Time
Authors: Zhang Dingguo , Song Zhe , Zhang Yaxin
Published: October 2024

The mechanical properties of residual plastic film determine the recovery rate of residual film. The mechanical properties of residual film with a thickness of 0.01mm commonly used in the semi-arid region of northeastern China were tested at different laying times. The experimental results show that the tensile strength of residual film is inversely proportional to the laying time. After crop harvesting, the longer the residual film is exposed in the field, the more significant the decrease in its mechanical properties. From the first autumn harvest to the second spring sowing, the reduction coefficient of the tensile strength of residual film is 0.35. The concept of residual film tensile strength coefficient k has been proposed, and experimental data shows that the minimum value of residual film tensile strength coefficient is 65% of the maximum value. The residual film tensile strength coefficient has a significant impact on the picking rate of residual film pickups. This study can provide reference for the design, structural improvement, and optimization of operating parameters of residual film recycling machines.
Analysis of the Subsidence Evolution Characteristics of Existing Railway Lines Due to Surface Subsidence from Salt Cavern Gas Storage Facilities
Authors: Qian Su , Yan Fenglin
Published: October 2024

The railway subgrade is a crucial component of the railway transportation system and serves as the foundation for the normal operation of the railway. Uneven subsidence of the railway subgrade is an important factor affecting the safety of train operations. In areas surrounding salt cavern gas storage facilities, subsidence caused by underground engineering can pose a threat to the safe operation of nearby railways. Through finite element numerical simulations, this study reveals the dynamic characteristics of cavity contraction and surface subsidence in salt cavern gas storage facilities under long-term operational conditions. These conclusions emphasize the complexity and long-term impacts of surface subsidence during the operation of salt cavern gas storage, providing important references for the safe operation of these facilities.
Does the Collaborative Agglomeration of Logistics and Manufacturing have an Inhibitory Effect on Carbon Emissions? Based on the Spatial Econometric Analysis of Panel Data of 30 Provinces in China
Authors: Lin Xiaofang , Li Yanshu , Zhang Siqiang , Sun Pan
Published: October 2024

In this paper, panel data from 30 provinces in the Chinese Mainland (excluding Tibet, Hong Kong, Macao, and Taiwan) spanning from 2006 to 2022 is utilized to investigate the relationship between logistics industry agglomeration, manufacturing industry agglomeration, and carbon emissions using spatial econometric analysis methodologies. Specifically, the study focuses on investigating the relationship between the synergistic agglomeration of the logistics and manufacturing industry, and their impact on carbon emissions using the Spatial Durbin Model. The research findings indicate that an increase in manufacturing industry agglomeration significantly reduces carbon emissions, an increase in logistics industry agglomeration result in higher carbon emissions, and the synergistic agglomeration of the two industries plays a significant role in mitigating regional carbon emissions through spatial and geographical mechanisms. Robustness tests, which include the control of additional variables and the use of alternative spatial weight matrices, further support the above conclusions.
Bridging Gaps in Carbon Emission Assessment: Optimization Strategies for Industrial Parks
Authors: Huang Junzhong , Tao Xuejun
Published: October 2024

Global climate change necessitates urgent carbon emission reductions, with industrial parks (IP) being significant contributors. Existing evaluation methods often underestimate emissions by overlooking direct industrial processes. This study develops advanced quantification strategies and data-driven models to accurately assess and optimize emissions in IP. Key findings highlight the role of renewable energy integration, smart management, and enhanced policy support. The study offers actionable recommendations, emphasizing technological innovation and international cooperation for effective low-carbon transformation.
High order recovery of geometric interfaces from cell-average data
Authors: Cohen Albert , Somacal Agustin , Mula Olga
Published: October 2024

We consider the problem of recovering multivariate characteristic functions u := χΩ from cell-average data on a coarse grid, motivated in particular by the accurate treatment of interfaces in finite volume schemes. While linear recovery methods are known to perform poorly, nonlinear strategies based on local reconstructions of the jump interface Γ := ∂Ω by geometrically simpler interfaces may offer significant improvements. We study two main families of local reconstruction schemes the first one based on nonlinear least-squares fitting, the second one based on the explicit computation of a polynomial-shaped curve fitting the data, which yields simpler numerical computations and high order geometric fitting. For each of them, we derive a general theoretical framework which allows us to control the recovery error by the error of best approximation up to a fixed multiplicative constant. Numerical tests in 2d illustrate the expected approximation order of these strategies. Several extensions are discussed, in particular the treatment of piecewise smooth interfaces with corners.
ANN-based predictive modelling of the effect of abrasive water-jet parameters on the surface roughness of AZ31 Mg alloy
Authors: Doreswamy Deepak , Bhat Subraya Krishna , K. Raghunandana , Hiremath Pavan , Sai Shreyas Donga , Bongale Anupkumar
Published: October 2024

In today's world, there is an acute need to increase the usage of ecologically sustainable materials like AZ31 magnesium (Mg) alloy, possessing high strength-to-weight ratio and biocompatibility. However, its machinability through conventional machining techniques remains a challenge due to its high flammability. AWJM of Mg alloys is a promising method in this scenario. The present study investigated the effects of three important operating parameters, viz., stand-off distance (SOD), feed rate, and number of passes on the surface roughness parameters (Ra, Rq and Rz). Experiments were conducted based on Taguchi's L9 orthogonal array, and the effects of parameters on Ra, Rq and Rz were analysed statistically using analysis of variance (ANOVA). The results demonstrated that SOD and number of passes together have significant influence on the surface roughness (between 60% and 80% contribution). The individual and interaction results effects of parameters revealed that, SOD of 1–2 mm, feed rate of 130 mm/min and two cutting passes resulted in the best surface quality with least roughness (Ra, Rq < 3 μm and Rz < 12 μm). Finally, an artificial neural network model was developed with 7 neurons in the hidden layer, which simultaneously predicted Ra, Rq and Rz with high accuracy (R > 0.99).
The Necessary Core Competitiveness Training of College Graduates in the Workplace
Authors: Xu Yandi
Published: October 2024

The difficulty of college graduates in finding jobs has been widely discussed, but there are still many problems in how to prevent college graduates from being unable to find suitable jobs. This analyzes the specific difficulties of college students looking for jobs and the core competitiveness that needs to be improved. Through the research and investigation of the market, it is found that the problem of fresh graduates surviving in finding a job is not only that there are too many applicants in the market objectively, but also subjectively reflects that in the process of linking the school and the market, students do not acquire the corresponding ability to show themselves. Based on such an analysis, this essay analyzes and concludes that learning ability, practical ability, irreplaceability, and positive attitude towards work are very key elements and proposes to integrate these four elements into the education process during undergraduate study.
The influence of short videos on elementary school students’ English reading ability: Taking WeChat channels as an example
Authors: Yi Meiyun
Published: October 2024

The rapid popularity of short video platforms has provided new ways for the dissemination of educational content. This study aims to explore the impact of WeChat channels on primary school students’ English reading ability. Technology has expedited the growth of online education and video-based learning, with WeChat channels becoming one of the most widely used venues for students in China to share videos. With the assistance of parents, teachers, schools, and government education sectors, WeChat channels have the potential to play a more significant and positive role in the English learning field in the current era. The research results show that WeChat channels have developed into a vital video platform for students to find helpful English learning materials. The purpose of this study is to examine the effects, both good and negative, of the quickly evolving video platforms on primary school students’ English reading abilities in order to provide a basis for further research.
Behind Zara’s success: An analysis of brand marketing and management in fast fashion
Authors: Zhang Ercen
Published: October 2024

This paper focuses on an in-depth analysis of the fashion retail brand Zara, starting with a detailed introduction of its brand background, history, and main features. Zara, a brand of the Inditex Group, is known for its quick response to market trends and for offering high-quality and fashionable clothing products. This article explores how Zara has had a significant impact on the global fashion industry with its unique brand positioning. In addition, the thesis delves into its market positioning and its strategies to stand out in the global fashion market through its fast fashion model. It focuses on Zara’s supply chain management, design innovation, marketing strategy, etc., as well as an in-depth study of its target consumer groups and market environment. In addition, it analyses how Zara has increased its brand awareness and influence in the digital age through brand communication, social media marketing, and online-offline integration. Taking Zara, one of the world’s most famous fast fashion brands, as an example, this article analyses Zara’s successful experience in brand management and marketing strategy, which provides a useful reference and inspiration for the development of fashion retail brands.
Fashion media as a precipitant of anxiety disorders in women
Authors: Zhong Yuejun
Published: October 2024

In the contemporary period of swift advancements in media and entertainment consumption, women are not only the focus of media attention but also the subject of extensive consumer consumption. The article examines the detrimental effects that fashion media's regular exposure to the public eye has on the physical and mental well-being of its target demographic, which mostly consists of adolescents, young adults, and middle-aged women. This article examines the causes behind its emergence, including the impact of historical, economic, cultural, and other variables, in addition to beginning with the female subject. There is also the distinct aesthetic of Chinese entertainment culture, which is centered around youthful and slender shows that appear to be exclusively feminine but are actually loaded with masculine gaze and consumerism traps. In order to help modern women overcome body anxiety and eating disorders that are influenced by the media, this study offers further references and solutions based on identifying the source of the issue and summarizing prior experiences.
The Influence of Brand Culture and Effects on Consumer Behavior
Authors: Xue Junnuo
Published: October 2024

With the development of the market economy, and the improvement of people's consumption level, the types of commodities, forms of consumption and brands become more and more. Consumers' consumption concepts have changed, and at the same time, the enterprise's operation, entrepreneurship, marketing strategy has also been optimized with the change. In the red sea market with serious homogenization, consumers use the brand to screen the goods, and brand culture as the core value of the brand, the key image, and the brand effect produced by the brand plays a vital role in influencing the consumer's behavior. In order to specifically study the relationship between the two, and its impact on the specific behavior of consumers, psychology. This paper reviews the existing literature, collects it, integrates its ideas and then uses a questionnaire to enquire about consumers' preferences when choosing similar products. At the same time, research on the acceptance range of brand premium, the reasons for brand loyalty, recognition of the brand culture, love of the underlying factors and so on. The data analysis revealed multiple complexities of brand culture and effects on consumer behavior, but an overall positive influence.
User Attitudes and Preferences Towards Real-Time Interactive Gamified Movie Experiences
Authors: Liu Dongqi
Published: October 2024

This study explores user attitudes and preferences towards real-time interactive gamified movie experiences, combining elements of traditional cinema with interactive gaming and advanced technologies like augmented reality (AR) and virtual reality (VR). The integration of these technologies aims to enhance audience engagement, emotional connection, and overall satisfaction. The research employs a mixed-methods approach, using both qualitative and quantitative data collected through surveys, interviews, and focus groups to analyze user preferences, engagement levels, and the impact of personalized interactive elements. Findings reveal a strong preference for interactive and gamified features, with users desiring more control over storylines and appreciating personalized content tailored to their preferences. Additionally, immersive technologies and real-time feedback significantly enhance user engagement and emotional responses. However, challenges such as technological limitations, accessibility issues, and ethical concerns regarding data privacy were also identified. The study concludes that while interactive and gamified movie experiences hold great potential for transforming the entertainment industry, addressing these challenges is crucial for their successful adoption and widespread appeal. Future research should focus on exploring new technologies, ensuring inclusivity, and developing ethical guidelines for data use.
The Impact of Different Forms of Advertisements on User Behavior: A Study Based on Audience Feedback on Chinese Streaming Platforms
Authors: Chen Qingyang
Published: October 2024

With the continuous development of the Internet and social media platforms, the changes in advertising communication methods have not only altered the presentation of advertisements but also profoundly influenced consumer behavioral feedback. In order to more effectively capture the attention of the target audience and enhance the effectiveness of advertising, it has become important to study the relationship between advertising formats and consumer feedback. This study utilizes questionnaire surveys and semi-structured interviews to explore the impact and relationship between advertising and consumer behavior through data analysis. The study indicated that different advertisements have varying effectiveness across three dimensions of advertising communication, and broadcast advertising unexpectedly presented a surprising result and discovery in this process. Furthermore, the cultural background of the audience is a significant factor in the dimensions of the audience, affecting the dissemination and effectiveness of advertising. This sheds light for businesses and advertising decision-makers on the influence mechanisms of different advertising formats on consumer cognition, attitudes, and behaviors, providing new empirical support for relevant theories.
The Susceptibility of Young Chinese Users of Information Cocoon on the Xiaohongshu Platform
Authors: Sun Yuang
Published: October 2024

The Xiaohongshu platform is a recently developed powerful online media platform in China. Its primary method of using algorithms to push information encourages the formation of the information cocoon. Based on the similar researches of selective exposure and echo chamber, this study has developed the exposure and acceptance mechanism of information. Using the platform's young Chinese users as a representative, this research aimed to test the users' susceptibility using the new information cocoon susceptibility scale. The scale was divided into six dimensions including information content, information channel, information attitude stability, information intervention, social network, and algorithmic literacy. By recovering and analyzing the questionnaires, this study found that the Chinese young users' susceptibility to the Xiaohongshu platform is generally significant. Specific manifestations may include exposure to information content homogenized, lack of diversity of information channels, tending to be influenced by information and long-term communication with a fixed group, and low personal algorithmic literacy. The outcome probably indicates that the Xiaohongshu users are less resistant to the information cocoon and are deeply affected by it.
Music and social change during the Baroque period
Authors: Zhang Xinyue
Published: October 2024

In a wide range of music history fields, the Baroque period has a prominent and unique position. This paper presents a comprehensive and detailed examination of the different musical features of the Baroque era. It explores the intricate harmony and counterpoint, the rich characteristic decorative elements, and the strong emotional expression that it conveys. At the same time, it also deeply discusses the profound influence of music in this period on social life. Through the detailed analysis of the specific musical works, it clearly and vividly expounds that Baroque music not only reflects the social changes at that time but also has a significant and far-reaching influence. Meanwhile, the broad influence of Baroque music on subsequent periods was investigated, and its unique and unparalleled value in the annals of Western music. The findings and insights presented in this paper provide a comprehensive and in-depth understanding and appreciation of the musical nature and far-reaching influence of the Baroque period.
Metaphor of Disease and Its Psychopathological Analysis in Eileen Chang's Novels
Authors: Xiong Ziyan
Published: October 2024

In modern Chinese novels, disease is a common theme, and different works also show different flavors. This paper mainly studies the metaphors behind the characters' diseases and the characters' morbid psychology in Eileen Chang's three representative works Flowers Wither, Golden Lock and Red Rose and White Roses. Through the research, the author can find that Eileen Chang's disease writing is related to her personal loveless family life experience, her love for tragic aesthetics and the aesthetic tendency of morbid things, and the popularity of medical treatment in society at that time. At the same time, this paper analyzes the cruel living situation of women revealed in the female diseases in his works. Whether it is arranged marriage or new-style marriage, women have lost the right to choice and autonomy in marriage, so the unhappiness of their marriage life is also the main reason for the disease. Finally, through the analysis of specific characters' diseases, the article shows the pathological psychological state of the characters' hearts under the disease in detail, and analyzes the relationship between them. Through the study, the author can find that the disease in Eileen Chang's works is not only as simple as the disease itself, but also shows a social style and the pathological state and psychology of the characters living in it.
The Development of Modern Chinese Mythological Poetry from Western References and Rewriting of Eastern Mythological Elements in Guo Moruo's The Goddess
Authors: Yu Xinkai
Published: October 2024

Guo Moruo (1892-1978) was a Chinese literary scholar, historian, and social activist. Guo Moruo has been criticized in different ways, but when it comes to literature and poetry, thanks to his study in Japan, his works have been influenced by many Western literary works, and he has written about gods and goddesses in both eastern and western styles, with passionate and romantic phrases; and he has brought these changes back to China, which has brought special nourishment to the pursuit of literary and poetic innovation in the country at that time. Therefore, this paper will analyze Guo Moruo's new collection of poems, The Goddess, in terms of the quotation of Western mythological elements and the rewriting of Eastern mythological elements, and use a few Western poems to demonstrate the similarity between the May Fourth New Culture Movement and the development of Western literature and art, and thus to show the development of modern mythological poetry in China.
Le numérique en ETP : une révolution en marche
Authors: Cohen Jean-David
Published: October 2024

Le numérique en ETP revêt différentes formes comme l’autonomie par la technologie du patient diabétique et va au-delà de la réalisation par les équipes de programmes en distanciel. La téléETP qui monopolise pourtant quelque peu les débats se matérialise d’ailleurs par l’existence de parcours d’ETP entièrement numériques proposés par des entreprises. Cette offre se décline aussi avec la mise en contact de patients experts au service de pairs. À un autre pôle, c’est la parole du patient qui est au centre du numérique et se trouve écoutée, précieusement analysée. Aussi, l’étendue de la e-ETP nécessite d’être explorée et, afin d’y voir plus clair et de façon dynamique quant à la finalité des outils numériques, une cartographie pourrait être la solution. L’e-ETP est en effet un tournant à appréhender dans la relation de soins. Dans ce contexte, il est également légitime de se poser la question de la place du soignant et d’un lien possiblement fragilisé, l’irruption de l’IA ne faisant qu’amplifier ces interrogations. La technologie doit cependant être maîtrisée et non nous diriger et, à cet instant, l’idée d’une autonomie du patient potentiellement renforcée, voire « débridée » doit nous satisfaire.
Hydrotherapie bei Spannungskopfschmerzen und Migräne – ein Update
Authors: Gündling Peter W.
Published: October 2024

Kopfschmerzen sind eines der häufigsten Krankheitssymptome und Beschwerden von Menschen überhaupt. Ob als Begleiterscheinung von Erkältungen und Infektionen oder als Folge von Stress, Wetterwechsel oder anderen Ursachen. Als meist funktionelle Störungen sind sie stark von der Lebensweise der Betroffenen abhängig und können daher gut mit natürlichen Maßnahmen behandelt werden. Hydrotherapie kann bei Spannungskopfschmerzen und Migräne durch die Anwendung von Wasser in verschiedenen Formen, wie warmen oder kalten Güssen, Wickeln, Bädern oder Duschen, Linderung verschaffen. Die Wärme fördert die Durchblutung und entspannt verspannte Muskulatur, während Kälte Entzündungen reduzieren und Schmerzen betäuben kann. Zudem kann die Hydrotherapie Stress abbauen und das allgemeine Wohlbefinden steigern, was ebenfalls zur Verringerung der Häufigkeit und Intensität von Kopfschmerzattacken beitragen kann.
Neue Tumormarker bei Hodentumoren – im hier und jetzt und in der Zukunft
Authors: Schoch Justine , Schmelz Hans , Dieckmann Klaus-Peter , Nestler Tim
Published: October 2024

Keimzelltumore sind die häufigsten Tumorentitäten bei jungen Männern. Seit der Einführung
der platinbasierten Chemotherapie in den 1970er-Jahren können die meisten Patienten trotz der
Aggressivität der Keimzelltumoren kurativ behandelt werden. Für Diagnostik, Therapiemonitoring
und Nachsorge werden möglichst optimale Serumtumormarker benötigt, an die hohe Anforderungen
gestellt werden. Die konventionellen Hodentumormarker humanes Choriongonadotropin (hCG),
Alpha-Fetoprotein (AFP) und Laktatdehydrogenase (LDH) werden diesen Anforderungen nur mit
einer unzureichenden Sensitivität gerecht (30–70%). Die in den letzten Jahrzehnten
untersuchten Marker wie PLAP, CEA und NSE haben sich nicht durchgesetzt. Aktuell wird
besonders die miRNA-371 erforscht. Gesicherte Erkenntnisse liegen vor für das initiale Staging
mit deutlich besseren Spezifitäten der miRNA-371 im Vergleich zu den konventionellen
Tumormarkern. Für weitere mögliche klinische Einsatzgebiete wie der Nachsorge, dem
Therapiemonitoring oder bei Residualtumoren erfolgen weitere prospektive Studien, um auch hier
das revolutionäre Potenzial der miRNA-371 zu untersuchen. Weiterhin wird aktuell an
zirkulierenden Tumorzellen (CTCs) und zellfreier DNA (cfNA) in verschiedenen
Anwendungsgebieten geforscht. In Bezug auf Keimzelltumore des Hodens stehen diese Analysen
jedoch noch am Anfang, aber man erhofft sich hiervon eine weitere suffiziente Möglichkeit
Serumtumormarker einzusetzen.
Economic and Environmental Pollutant Impact of Maternal–Fetal Telemedicine
Authors: Li Valverde Valeria M. , Althaus Elizabeth , Horton Lauren , La Rosa Mauricio F. , Haeri Sina
Published: October 2024

Objective The global issue of greenhouse gas emissions has significant implications for the environment and human health. Telemedicine provides a valuable tool for delivering health care while reducing gas emissions by limiting the need for patient travel. However, the environmental effects of telemedicine in high-risk pregnancy populations remain unassessed. The aim of this study was to estimate the economic and environmental impact of an outpatient teleMFM program.

Study Design This retrospective cohort study examined all visits at three teleMFM clinics more than 90 miles away from the nearest in-person MFM office between October 1, 2021, and May 1, 2022. Travel distances and times were calculated for each appointment between the patient's home, telemedicine clinic, and nearest in-person clinics, using zip code data and Google Maps web-based map calculator tools. Travel cost savings and environmental impact were calculated by determining differences in mileage reimbursement rate and emissions between those incurred in attending telemedicine appointments and those that would have been incurred if in-person using inflation-adjusted Internal Revenue Service annual standard mileage reimbursement rate ($0.58 per mile), and the U.S. Environmental Protection Agency Office of Transportation and Air Quality's average annual emissions and fuel consumption for gasoline-fueled passenger vehicles.

Results During the study period, a total number of 2,712 appointments were scheduled, of which 2,454 were kept (cancellations removed) and analyzed. Visiting a teleMFM clinic resulted in 204 miles, 200 minutes, and $118.32 saved per patient visit compared with visiting the nearest in-person clinic. Over a 7-month period, a total of 96.6 metric tons of emissions were saved.

Conclusion This study demonstrates the positive economic and environmental impact of teleMFM utilization in communities remote from in-person care. Given the contribution of greenhouse gas emissions to climate change, such findings may provide strategies for our specialty to make informed policy, advocacy, and business decisions.

Key Points
An Analysis Regarding the Ultimate Outcome of Abstracts Presented at the European Paediatric Surgeons' Association Congress
Authors: Gerçel Gonca , Durakbaşa Çiğdem Ulukaya
Published: October 2024

Introduction The objective of this study is to analyze the conversion rate of abstracts presented at the European Paediatric Surgeons' Association (EUPSA) congress into full-text publications and to conduct a thorough analysis of the attributes and quality of the papers published.

Materials and Methods Abstract books including the years 2017 to 2022 were reviewed. Searches on PubMed and Google Scholar, utilizing keywords from the titles and the author names, were conducted to trace subsequent full-text publications. A categorical analysis detected variations and trends, with a significance threshold of p < 0.05. Quantitative data were presented as means ± standard deviations, whereas categorical data were represented as counts (n) and percentages (%).

Results A total of 2,139 abstracts were presented at the EUPSA annual meetings during five consecutive congresses. The average number of presented abstracts was 427.6 ± 20.4 per year from across 63 different countries. European countries contributed the majority (71%). The presentations included both oral (n = 817, 38.2%) and poster presentations (n = 1,322, 61.8%). They predominantly focused on clinical topics (90.6%). Single-center retrospective studies were the most common study design (43.7%). Out of all abstracts presented, 1,033 (48.3%) were published within an average time interval of 1.39 ± 1.19 years after presentation. Most journals had an impact factor (IF) between 1 and 5 (74.5%). There was no significant year-to-year variation in publication rates (p = 1). Basic science studies were published in journals with significantly higher IF compared with clinical studies (p < 0.001).

Conclusions The publication rate of abstracts presented at the EUPSA annual congress stands at 48.3%, aligning with the rates observed in other similar studies. This suggests that abstracts submitted to the EUPSA congresses were evaluated and scored rigorously, adhering to international selection criteria. Furthermore, the majority of these abstracts were published in journals with moderate to high IFs, providing quantitative evidence of the scientific quality of research within the field of pediatric surgery.
HBV Biomarkers and Their Role in Guiding Treatment Decisions
Authors: Mak Lung-Yi , Boettler Tobias , Gill Upkar S.
Published: October 2024

Over 300 million individuals worldwide are chronically infected with hepatitis B virus and at risk for progressive liver disease. Due to the lack of a therapy that reliably achieves viral elimination and the variability of liver disease progression, treatment decisions are guided by the degree of liver disease and viral biomarkers as the viral life-cycle is well characterized and largely conserved between individuals. In contrast, the immunological landscape is much more heterogeneous and diverse and the measurement of its components is less well standardized. Due to the lack of a universal and easily measurable set of biomarkers, clinical practice guidelines remain controversial, aiming for a balance between simplifying treatment decisions by reducing biomarker requirements and using all available biomarkers to avoid overtreatment of patients with low risk for disease progression. While approved therapies such as nucleos(t)ide analogs improve patient outcomes, the inability to achieve a complete cure highlights the need for novel therapies. Since no treatment candidate has demonstrated universal efficacy, biomarkers will remain important for treatment stratification. Here, we summarize the current knowledge on virological and immunological biomarkers with a specific focus on how they might be beneficial in guiding treatment decisions in chronic hepatitis B.
Utility of Flexible Bronchoscopy as an Interventional Tool in Children: A Single-Center Cross-Sectional Study
Authors: Bhat Javeed Iqbal , Tramboo Zubair Mushtaq , Zargar Shahan Iqbal , Maqsood Shadab , Charoo Bashir Ahmad
Published: October 2024

The aim of this study was to study the utility of pediatric flexible bronchoscopy as an interventional tool. This is a prospective study conducted in a tertiary care hospital. The studied patients underwent flexible bronchoscopy for various diagnostic and therapeutic reasons. The endpoint was to document the type of therapeutic procedure done in a patient, success rate, and any procedural complications encountered. During the 7-year period, a total of 824 different bronchoscopic procedures were conducted. The majority of procedures were for diagnostic reasons. A total of 68 therapeutic procedures were performed successfully, which included foreign body retrieval in 46 patients, bronchoscopic intubation in 5 patients, transbronchial needle aspiration (TBNA) in 4 patients, dilatation of tracheal stenosis in 4 patients, mucus plug removal in 3 patients for lung collapse, postoperative hydatid membrane removal in 3 patients, whole lung lavage in 2 patients, and transbronchial needle biopsy (TBNB) for suspected fibrosing mediastinitis in 1 patient. The 7-year audit of therapeutic role of flexible bronchoscopy (FB) in children revealed that the procedure is safe and can be utilized for many therapeutic procedures in children, including removal of aspirated foreign bodies, bronchoscopic intubation, dilatation of tracheal stenosis, treatment of atelectasis, and collection of biopsy specimens from the mediastinum. The procedure is safe and carried no major complication rate.
Systemic Inflammatory Indices as Predictors of Lung Maturation in Preterm Infants Born Before 32 Weeks of Gestation
Authors: Akin Mustafa Senol , Akyol Ozhan , Okman Esin , Yazici Aybuke , Sari Fatma Nur , Dizdar Evrim Alyamac
Published: October 2024

Increased inflammation in premature infants in the prenatal period reduces respiratory distress syndrome (RDS). Several systemic inflammatory indices have been used to evaluate inflammatory responses in different pathologies. Our study aimed to determine the systemic inflammatory indices as predictors of lung maturation in preterm infants born before 32 weeks of gestation. In this study, preterm infants born before 32 weeks of gestation were enrolled and categorized based on the diagnosis of RDS. At birth, infants were assessed for various systemic inflammatory indices, including the systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV), systemic inflammation response index (SIRI), and the monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR). The study included 365 infants, of whom 211 had RDS. The median gestational ages (GA) were 27 (range: 25–29) and 30 (range: 29–31) weeks, and the median birth weights were 850 (range: 660–1,360) and 1,375 (1,090–1,600) g in the RDS and control groups, respectively. Infants in the RDS group had significantly lower MLR, NLR, PIV, SII, and SIRI values (p = 0.001) compared to the control group. The cutoff values for predicting RDS in the whole group were 239 for SII, 0.44 for SIRI, and 78 for PIV. For the group of preterm infants born at ≤28 weeks of gestation, values of 171, 0.5, and 87 for SII, SIRI and PIV, respectively, provided the best ability to predict RDS. For the whole cohort, SII level ≥239 was associated with a reduced risk of RDS, as revealed by multivariate analyses (p = 0.001). To account for GA, we performed regression analyses for infants born at ≤28 weeks. SII ≥171 (odds ratio [OR]: 0.12; 95% confidence interval [CI]: 0.05–0.3), PIV ≥87 (OR: 0.08; 95% CI: 0.03–0.21), and SIRI ≥0.5 (OR: 0.08; 95% CI: 0.03–0.2) were associated with a reduced risk of RDS. Inflammation in the perinatal period may reduce the frequency of RDS in premature infants.
Optics equation provides approximation of gravitational lenses for students
Authors: Liebendorfer Adam
Published: October 2024

Straighforward ray trajectory equation uses trigonometric and hyperbolic functions to model curves in space-time, including Einstein rings and fatal attraction near black holes.
Moyal deformation of the classical arrival time
Authors: Pablico Dean Alvin L. , Galapon Eric A.
Published: October 2024

The quantum time of arrival (TOA) problem requires the statistics of measured arrival times given only the initial state of a particle. Following the standard framework of quantum theory, the problem translates into finding an appropriate quantum image of the classical arrival time TC(q,p), usually in operator form T̂. In this paper, we consider the problem anew within the phase space formulation of quantum mechanics. The resulting quantum image is a real-valued and time-reversal symmetric function TM(q,p) in formal series of ℏ2 with the classical arrival time as the leading term. It is obtained directly from the Moyal bracket relation with the system Hamiltonian and is hence interpreted as a Moyal deformation of the classical TOA. We investigate its properties and discuss how it bypasses the known obstructions to quantization by showing the isomorphism between TM(q,p) and the rigged Hilbert space TOA operator constructed in Pablico and Galapon [Eur. Phys. J. Plus 138, 153 (2023)], which always satisfy the time-energy canonical commutation relation for arbitrary analytic potentials. We then examine TOA problems for a free particle and a quartic oscillator potential as examples.
Casimir energy of hyperbolic orbifolds with conical singularities
Authors: Fedosova Ksenia , Rowlett Julie , Zhang Genkai
Published: October 2024

In this article, we obtain the explicit expression of the Casimir energy for compact hyperbolic orbifold surfaces in terms of the geometrical data of the surfaces with the help of zeta-regularization techniques. The orbifolds may have finitely many conical singularities. In computing the contribution to the energy from a conical singularity, we derive an expression of an elliptic orbital integral as an infinite sum of special functions. We prove that this sum converges exponentially fast. Additionally, we show that under a natural assumption known to hold asymptotically on the growth of the lengths of primitive closed geodesics of the (2, 3, 7)-triangle group orbifold, its Casimir energy is positive (repulsive).
Medium-term wind power prediction based on LSTM classification aided Pelt-Neuralprophet HHO-SVM
Authors: Jia Kaining , Xia Jing , Sun Chengyu , Li Peng
Published: October 2024

The precision of wind power prediction plays a vital role in ensuring the stable operation of wind power systems. To elevate this accuracy and enhance the real-time performance, this paper proposes a hybrid Support Vector Machine (SVM) method, with using the Long Short-Term Memory Network (LSTM) to categorize the wind data based on the statistical features and feedback to the trained SVM model. The hybrid Harris Hawk Optimization (HHO) SVM method adopts the Neuralprophet algorithm to model the seasonality of wind power data and then uses the Pelt technique to the LSTM aided Pelt-Neuralprophet HHO-SVM (i.e., PN-HHO-SVM) scheme, which can utilize the seasonal fluctuations inherent in wind power data. The Neuralprophet algorithm is employed to formulate the seasonal regression model of wind power data. Then, the Pelt technique is used to process the modeled data to locate the change points, so as to classify the time series with similar statistical properties. Furthermore, to tune the SVM hyperparameters for each identified cluster, the HHO algorithm is adopted. Consequently, the LSTM aided PN-HHO-SVM is achieved. The real data sourced from the National Renewable Energy Laboratory (NREL) are used for validation case studies, demonstrating the superiorities of the prediction performance, especially in distinguishing and discriminating the seasonal dynamics of wind power data characters.