bluuebunny/crossref_metadata_2025 huggingface dataset:
INOVAÇÕES TERAPÊUTICAS NO TRATAMENTO DA ENDOMETRIOSE E SEUS EFEITOS NA PRESERVAÇÃO DA FERTILIDADE FEMININA
Authors: SANTANA ELISABETE SOARES DE , GRACIA MARIA LUCILENE PEREIRA , MARQUES ISABELA SILVA , CASTRO LUCAS DA CRUZ , SILVA VICTOR HUGO DA , BERTOLDO SABRINA GABRIELLY CORREIA , SILVA JARRENY ALVES DA , SILVA SANDEYVISON OLIVEIRA DA , SOUSA LAYCE DOS SANTOS , RIBEIRO KALLY DA SILVA CAVALCANTE
Published: October 2024

Introdução: A endometriose é uma condição ginecológica complexa que afeta uma proporção significativa de
mulheres em idade fértil, caracterizada pela presença de tecido endometrial fora da cavidade uterina, o que pode
levar a dor crônica, disfunção e, em muitos casos, infertilidade. Segundo a Organização Mundial da Saúde
(OMS), a endometriose afeta cerca de 10% das mulheres em idade reprodutiva, o que a torna uma preocupação
de saúde pública significativa. Nos últimos anos, diversas abordagens inovadoras têm sido exploradas no
tratamento da endometriose. Terapias hormonais, como o uso de contraceptivos orais combinados e
progestagênios, continuam sendo comuns, mas novas opções, como moduladores seletivos do receptor de
progesterona e agentes anti-inflamatórios, estão sendo introduzidas. Objetivo: Este trabalho visa analisar as
inovações terapêuticas no tratamento da endometriose e seus efeitos na preservação da fertilidade feminina,
destacando novas abordagens médicas e cirúrgicas. Metodologia: Realizou-se uma revisão sistemática da
literatura, utilizando bases de dados como CAPES e PubMed, com descritores como “Endometriose”,
“Fertilidade” e “Inovações Terapêuticas”. Foram selecionados artigos publicados nos últimos cinco anos,
totalizando 1.564 estudos, dos quais 12 foram analisados em profundidade. Resultados e Discussão: A terapia
hormonal, incluindo contraceptivos orais e agonistas do GnRH, tem sido eficaz no controle da dor e na
preservação da função ovariana. A laparoscopia e outras técnicas cirúrgicas minimamente invasivas também
demonstram resultados positivos na remoção de lesões e na melhoria das taxas de gravidez. Além disso, agentes
biológicos e medicamentos dirigidos apresentam novas abordagens promissoras. Técnicas de reprodução
assistida, como a fertilização in vitro (FIV), oferecem opções viáveis para mulheres com endometriose que
desejam engravidar, com taxas de sucesso encorajadoras. Considerações finais: As inovações terapêuticas no
tratamento da endometriose têm avançado, proporcionando melhores resultados na preservação da fertilidade e
na qualidade de vida das mulheres. A abordagem holística, que considera tanto os aspectos físicos quanto
emocionais, é crucial para o manejo eficaz da endometriose.
IMPACTOS DA TERAPIA HORMONAL EM MULHERES JOVENS MENOPAUSADAS POR INSUFIÊNCIA OVARIANA PRIMÁRIA: UMA REVISÃO INTEGRATIVA
Authors: SHARON MARINNA LUNA , FERRAZ GISELE GOMINHO ROSA DE SÁ , BARBOSA ISADORA FERREIRA , BARREIRO MIRTIS LUÍS DE SOUSA , OLIVEIRA JENNIFER SILVA DE , JOHNSON MARIA EDUARDA LIMA , MELO PAULO SHARON DE
Published: October 2024

Introdução: A insuficiência ovariana prematura (IOP) é caracterizada por níveis elevados de FSH e
irregularidade ou ausência dos ciclos, devido causas como alterações constitutivas, hereditárias ou adquiridas,
ou seja, em situações de dano ao tecido ovariano, processo autoimune ou por disgenesia ou agenesia gonadal.
Objetivo: Avaliar as evidências disponíveis sobre os efeitos da Terapias de Reposição Hormonal (TRH) nos
desfechos clínicos em mulheres menopausadas por IOP. Metodologia: Trata-se de uma Revisão Integrativa da
Literatura, na qual os buscadores eletrônicos BVS e PUBMED foram consultados para levantamento de artigos
publicados nos últimos 10 anos. A pesquisa foi centrada nos Descritores em Ciências da Saúde (DeCs): sendo
empregados como critérios de exclusão: Primary Ovarian Insufficiency, Menopause, Premature, Hormone
Replacement Therapy. Foram empregados como critérios de exclusão: textos não completos, artigos anteriores
à 2013, repetidos em mais de um buscador e que não respondiam à pergunta norteadora. Após, a aplicação dos
critérios de inclusão e exclusão foram totalizados 8 artigos para estudo. Resultados: Dentre os documentos,
prevaleceram os artigos publicados no ano de 2020 e 2022 com predominância da base de dados Publisher
Medline (PubMed). Quanto aos periódicos, não houve prevalência. A população alvo são mulheres com
Insufiência Ovariariana Primária e que receberam Terapia Hormonal, dentre os principais achados, o TRH foi
eficaz na diminuição das complicações do hipoestrogenismo. Discussão: Uma menopausa muito precoce tem
um efeito potencialmente devastador na saúde óssea a longo prazo. A administração de terapia hormonal nos
primeiros 10 anos após a menopausa diminui a taxa de progressão da aterosclerose carotídea, a incidência de
doença coronariana (DCC), melhora a composição da gordura corporal, aumenta a sensibilidade à insulina, além
disso, a TRH melhora a densidade mineral óssea (DMO) e diminui o risco de fraturas mais tarde na vida.
Conclusão: Estudos mostram que essas pacientes devem receber terapia de reposição hormonal, pelos seus
desfechos positivos no prognóstico e qualidade de vida paciente, como benefícios na manutenção do trofismo
dos tecidos do trato reprodutivo, os ciclos menstruais, a prevenção da perda de massa óssea, neuropsíquicos e
redução do risco cardiovascular.
The Pores of Kohn, an Overlooked Pulmonary Structure: A Review
Authors: Aboubacar Kaka , Frederisck Merchant
Published: October 2024

Many studies from the early 20th century on the significance of the pores of Kohn were assessed based on the pathogenesis and pathology of pneumococci pneumonia occurring in man. The pneumococci were carried in the edema fluid directly from alveolus to alveolus through the pores of Kohn and from bronchiole to bronchiole as a result of repeated aspirations, aided by breathing, coughing, and gravity. With the emerging minimally invasive and non-invasive techniques experimentations and the current medications; tackling exacerbations and improving the pulmonary function in various lung diseases remains a dilemma for clinicians and researchers. In this article, we aim to review specifically the pores of Kohn as this is the portal for the spread of infection but also lung recruitment during breathing.
Load impedance of electrically small receiving antenna providing minimal group delay time irregularity
Authors:   Siberian Federal University  660074, Russia, Krasnoyarsk, st. Kirenskogo, 28, Knyazeva K.V. , Panko V.S ,   Siberian Federal University  660074, Russia, Krasnoyarsk, st. Kirenskogo, 28, Erokhin A.A. ,   Siberian Federal University  660074, Russia, Krasnoyarsk, st. Kirenskogo, 28, Andreev A.G. ,   Siberian Federal University  660074, Russia, Krasnoyarsk, st. Kirenskogo, 28, Kosolapov A.V. ,   Joint Stock Company “Scientific production enterprise “Radiosviaz”  660021, Russia, Krasnoyarsk, st. Dekabristov, 19, Nelipa S.B. ,   Joint Stock Company “Scientific production enterprise “Radiosviaz”  660021, Russia, Krasnoyarsk, st. Dekabristov, 19
Published: October 2024

The accuracy of determining coordinates in terrestrial radio navigation systems (RNS) depends on the receiving antenna frequency response irregularity: received signal power and group delay time (GD). Due to the limited space on the carrier, the RNS receiving antennas are small and cannot be effectively matched with feeder over the entire operating frequency band. The paper considers two options for the RNS receiver input circuit. First is a classical matching scheme and second is direct connection of the antenna to the receiver input. It is shown that the most uniform frequency characteristics are achieved when the antenna is connected directly to reciever. In this case, the maximum received signal power occurs when the antenna input resistance module and the load resistance are equal. At the same time, high load resistance increases the frequency response irregularity. Therefore, the choice of load resistance should be made compromising manner, taking into account signal level, available input amplifier gain and the allowed frequency response irregularity.
Оценка антигипоксического действия метил 6-арил-5-ароил-4-гидрокси(метокси)-2-оксо(тиоксо)- гексагидропиримидин-4-карбоксилатов
Authors: Замараева Т. М. , Бузмакова Надежда Альбертовна , Подчезерцева К. В. , Горгопина Е. В.
Published: October 2024

Проведена оценка антигипоксического действия новых 4,4,5,6-тетразамещенных гексагидропиримидин-2-онов(тионов) на модели нормобарической гипоксии с гиперкапнией in vivo. Обнаружено одно соединение, антигипоксическая активность которого оказалась на уровне активности янтарной кислоты, на фоне его действия у экспериментальных животных продолжительность жизни увеличилась на 26 %. Доказана перспективность поиска биологически активных веществ с антигипоксической активностью в ряду метил 6-арил-5-ароил-4-гидрокси(метокси)-2-тиоксогексагидропиримидин-4-карбоксилатов.
Видовой состав возбудителей септориоза на пшенице на территории России и факторы, его определяющие
Authors: Пахолкова Елена В. , Сальникова Н. Н.
Published: October 2024

Проведен многолетний (1986 – 2023 гг.) мониторинг видового состава возбудителей септориоза пшеницы на территории 9 регионов России. Проанализировано более 3500 образцов разных сортов пшеницы, на которых обнаружены 3 основных вида септории: Z. tritici, P. nodorum и P. avenae triticea. Выявлено, что в Северо-Кавказском, Центрально-Черноземном, Поволжском регионах и Калининградской области доминирует вид Z. tritici с частотой встречаемости от 61,6 до 83,5 %. В Центральном, Волго-Вятском и Северо-Западном регионах соотношение видов Z. tritici и P. nodorum близко к 1:1. В Северо-Восточных регионах (Уральском и Западно-Сибирском) превалирует вид P. nodorum (63,2 – 65,4 %). Во всех регионах на долю вида P. avenae triticea приходится не более 25,9 %. На европейской территории России отмечена тенденция нарастания представленности Z. tritici в связи с потеплением климата и расширением озимого клина в другие регионы. Приуроченность возбудителя Z. tritici к озимой пшенице объясняется благоприятными условиями для развития этого вида гриба на озимых посевах в осенне-весенний период и возможностью сохранения инфекционного начала на живых растениях в период перезимовки. Показана также приуроченность возбудителей септориоза к определенным фазам онтогенеза растений, и этот факт следует учитывать при сборе образцов для мониторинга их видового состава.
Агроэкологическая адаптированная система интегрированной защиты льна в России
Authors: Кудрявцев Николай Александрович
Published: October 2024

По результатам 42-летних (с 1981 по 2023 г.) исследований дано фитосанитарно-аналитическое обоснование эффективной реализации новых элементов агроэкологической адаптированной системы интегрированной защиты льна от болезней, вредителей и сорняков в России. Система защиты льна включает элементы, которые в качестве взаимосвязанных задач требуется модернизировать: фитосанитарный мониторинг; прогноз проявления болезней, вредителей и сорняков; применение селекционного (иммуногенетического), агротехнологического, химического и биологического методов защиты растений; экологизированные способы обработки семян протравителями и защитно-стимулирующими препаратами; опрыскивания посевов композициями химических и биологических пестицидов. Агроэкологическая адаптированная система интегрированной защиты льна от болезней, вредителей и сорняков широко реализуется в производстве. Некоторые ее элементы (например, инкрустирование семян отечественным инсектофунгицидным и удобряющим препаратом, обработка посевов отечественными гербицидами в сниженных нормах применения) в 1990 – 2000 гг. внедрены на суммарной площади посевов льна более 5 млн га с беспрецедентным хозяйственно-экономическим, природоохранным и санитарно-гигиеническим эффектом. В результате исследований 2019 – 2023 гг. уточнены наименования и симптомы проявления инфекционных и неинфекционных болезней, уровни вредоносности фитофагов и сорняков льна; проведены оперативные учеты их распространенности в некоторых регионах РФ.
Сортовая специфика реакции яровой пшеницы на воздействие наночастиц железа
Authors: Новикова Антонина Александровна , Подласова Екатерина Юрьевна , Глущенко Наталья Николаевна
Published: October 2024

Пшеница твердая — уникальная культура. Выращивать ее сложнее, чем мягкую, при этом урожая она дает меньше в среднем на 3 – 4 ц/га, но потребность рынка зерна твердой пшеницы с учетом экспорта ежегодно увеличивается. Одним из основных путей повышения её урожайности является применение нанотехнологий. Наночастицы считаются экологически безопасным удобрением для зерновых культур. Однако спектр их действия сильно различается в зависимости от типа наночастиц, их концентрации и вида растения, начиная от стимуляции роста и заканчивая токсичностью. Изучено влияние предпосевной обработки семян наночастицами железа (Fe НЧ) на прорастание и показатели роста яровой твердой пшеницы 6 сортов: Целинница, Оренбургская 21, Меляна, Бурбон, Безенчукская золотистая, Луч 25. Эксперимент включал 5 вариантов опыта: контроль (обработка семян дистиллированной водой) и обработка семян Fe НЧ в 4 концентрациях (10–4, 10–5, 10–6 и 10–7 %) с последующей оценкой энергии прорастания через 4 дня и морфометрических показателей проростков через 8 дней. Результаты исследования показали, что обработка семян Fe НЧ увеличивала длину побегов и корневой системы растений, а также стимулировала накопление биомассы проростков. Этот эффект зависел от концентрации металла в составе полимерной композиции и сорта.
Enhancing integration testing efficiency through AI-driven combined structural and textual class coupling metric
Authors: Alazzam Iyad , AlSobeh Anas Mohammad Ramadan , Bani Melhem Basil
Published: October 2024

Integration testing, a critical and resource-intensive phase in the software development lifecycle, can account for up to a high percentage of the total testing cost. Identifying classes with high coupling is crucial for efficient integration testing, as these classes are more susceptible to the impact of maintenance-related changes. This research introduces a novel metric called combined structural and textual class coupling (CSTCC), which harnesses the power of artificial intelligence (AI) techniques to predict and rank the most critical classes in an object-oriented software system. CSTCC integrates structural coupling metrics with latent semantic indexing (LSI)-based textual coupling, providing a comprehensive measure of class coupling. LSI, an information retrieval technique, analyses the semantic relationships between classes based on their textual content, enabling CSTCC to capture both structural and conceptual dependencies, resulting in a more accurate identification of high-risk classes. The effectiveness of the proposed approach is rigorously evaluated using mutation testing on four Java open-source projects, and the results demonstrate that test cases developed based on CSTCC achieve high mutation scores, indicating their ability to detect a significant percentage of integration faults. By focusing testing efforts on high-coupling classes identified by CSTCC, developers can potentially save time and cost during integration testing. The results demonstrate that test cases developed based on CSTCC achieve high mutation scores, ranging from 98% to 100%, indicating their ability to detect a significant percentage of integration faults. Additionally, the approach results in substantial efficiency gains, with a notable reduction in the number of test cases needed, saving up to 33.3% of the testing effort in some cases. By focusing testing efforts on high-coupling classes identified by CSTCC, developers can potentially save time and cost during integration testing. The CSTCC metric provides a novel and effective approach to prioritize testing resources and improve the efficiency of integration testing in object-oriented software systems.
Anticipating the Side Effects of Educational Reform Using System Dynamics Modeling
Authors: Keith David R. , Yadama Aishwarya , O’Neill Ellen , Chung Saras
Published: October 2024

There have been countless efforts to improve academic achievement in public schools across the United States, especially in urban school districts. Few efforts, however, use rigorous analytic modeling tools to anticipate and prevent the potential side effects of change. This chapter proposes the application of system dynamics on educational reform efforts by offering a conceptual model, literature review, and research agenda to identify and mitigate the potential side effects of reform. The model is based on interviews and workshops with public school leaders, teachers, and parents in a midsized midwestern urban city. We identify a “capability trap” that may lead to policy resistance with educational reforms. Limitations to this approach are noted, and future areas of research are identified.
School Governance Through Performance-Based Accountability: A Comparative Analysis of Its Side Effects Across Different Regulatory Regimes
Authors: Levatino Antonina , Verger Antoni , Camphuijsen Marjolein , Termes Andreu , Parcerisa Lluís
Published: October 2024

Performance-based accountability (PBA) has gained popularity worldwide due to its promise to strengthen the effectiveness and equity of educational systems. Nonetheless, its implementation does not always generate the expected reactions within schools. Through a configurative review, we systematically reviewed 133 empirical studies focusing on PBA side effects. We provide novel insights into the literature on PBA side effects, generating a better understanding of how and under what circumstances they are more likely to occur and through which mechanisms. In contrast to existing reviews, our research includes country contexts where accountability designs are predominantly low-stakes and challenges dichotomous ways of thinking about PBA systems. It uncovers side effects across diverse accountability frameworks and investigates differences and similarities in the mechanisms driving them.
Advancing Equity and Access: Addressing the Side Effects of Broadening Participation in Computer Science K–12 Education
Authors: Childs Joshua , Zarch Rebecca , Dunton Sarah , Madkins Tia c. , Trautmann Katelin , Taylor Z. W. , Jacobson Miriam , Ozturk Sonnur , Ottenbreit-Leftwich Anne
Published: October 2024

Over the past 20 years, there has been a concentrated effort on expanding K–12 pathways, experiences, and access in computer science education (CSEd). Computer science (CS) is a multifaceted discipline within education, and the current emphasis in education policy has focused on how to expand access for K–12 students in CSEd that will lead to increased innovation and bring new participants into the United States labor economy. Industry partners have advocated for policies and incentives to increase pathways to CS opportunities. This chapter interrogates the side effects of CSEd and offers a framework for considering how side effects impact CS teaching and learning. We highlight the barriers that exist within CS and CSEd and how broadening participation in computing efforts could address longstanding equity and disparity issues.
Mechanisms of change: what explains shifts in online immigration discourse after terror attacks?
Authors: Hurtado Bodell Miriam , Menshikova Anastasia
Published: October 2024

In this paper, we discuss and test the mechanisms that produce changes in online debates following unexpected events. In particular, we analyze how the Swedish online discourse on immigration changes in the wake of Jihadist terrorist attacks in Europe. We test the role of two mechanisms that may drive shifts in online discussions: changes in (1) how individuals talk about immigration (within-individual change) and (2) the composition of individuals who participate in debates (compositional change). In order to evaluate the contribution of these two mechanisms, we analyze a corpus of 664k immigration-related texts posted on Sweden’s largest discussion forum, Flashback, between 2010 and 2020 and study the impact of 37 terrorist attacks in Sweden and other Western European countries. Using a seeded topic modeling approach, we compare the relative salience of different themes in discussions about immigration before and after the attacks. Whereas aggregate-level analyses of social media data often interpret shifts as being due to individual-level changes, we show that the change in the composition of discussants also contributes to shifts. Our findings highlight the necessity of individual-level text data as a means of differentiating two separate mechanisms that can produce similar shifts in aggregate measures of discourse.
Information Theory of Gravity
Authors: Abanto Jeffrey Alloy Q.
Published: October 2024

A new model of gravity is presented here that is similar to MOND and Chameleontheory but uses an Entropic Gravity approach that is not based fundamentally on theFirst Law of Thermodynamics. Instead, the Second Law of Thermodynamics will bemainly used here as it was applied in Black Hole Physics via the Area Theorem and theHolographic Principle. The Area Theorem was considered here to imply, not only thatthe total area of the event horizon will never shrink when entropy increases, but also thatthe mass or energy content within the black hole will always be greater than the originalmass-energy input, though not necessarily violating the energy conservation law. Thisblack hole property will be extended to include even a non-black hole setting. Moreover,the approach does not use the Equipartition Theorem to relate energy to temperature(E = NkbT), instead we used Vopson’s Energy-Mass-Information Equivalence Principle(E = kbT ln(Ω)). The theory uses E = NEp, for the total energy of a massive objectwhere Ep is the Planck Energy and N is the number of Planck Energy to represent theamount of information within the limit set at the Planck scale. It is shown here thatgravity emerges whenever information is updated within a given volume of space witha magnitude that is defined not only by the gravitating matter but also by the energygenerated in space within the vicinity of the gravitating matter. The model is the firstto consider the role of both spacetime and matter as a medium to store information andapply it to describe gravity in a fundamental way.
Can within-individual consistency in episodic recall be used to retrospectively estimate eyewitness memory?
Authors: Tsao Hsin-Hui , Tseng Philip
Published: October 2024

Eyewitness testimony is widely used in forensic scenarios and plays a crucial role for jurors in convictions. However, in the absence of ground truth for the crime, sometimes it is difficult for investigators to assess the accuracy of a particular eyewitness’ testimony. In this study, we investigated whether it is possible to retrospectively assess an eyewitness’ memory accuracy for the crime event (which presumably has no ground truth), with another staged mock event (that has ground truth). This possibility hinges upon the assumption that individuals are consistent in their memory performances across different episodic events. To test this assumption, our participants first witnessed a burglary theft on video, and were asked to recall details of the crime 24 hours later. After one week, participants witnessed another burglary theft (i.e., the probe event) that were either visually dissimilar (Experiment 1) or highly similar (Experiment 2) as the target crime, and were tested on their memory accuracy 24 hours later. In both experiments, we observed significant correlation between memory accuracies of the crime and the probe event, and such correlation seemed to be mostly driven by participants’ memory for details that are central to the crime rather than peripheral details. Importantly, Experiment 2 not only replicated findings from Experiment 1, but also showed stronger correlation, suggesting that highly similar probe event may be desired for field use. These results demonstrate that individual differences, as well as its consistency across multiple events, can be capitalized for eyewitness screening.
Ransomware Detection through Dynamic Behavior-Based Profiling Using Real-Time Crypto-Anomaly Filtering
Authors: Landril Eric , Valente Samuel , Andersen Gregory , Schneider Christopher
Published: October 2024

The proliferation of ransomware has demonstrated a critical need for innovative detection methods that surpass the limitations of traditional static and signature-based models, which often fail to identify emerging ransomware threats effectively. Crypto-Anomaly Filtering presents a novel approach that utilizes real-time monitoring of encryption anomalies to identify ransomware activity through dynamic analysis rather than reliance on predefined signatures. The system architecture combines encryption profiling, behavioral tracking, and machine learning-driven scoring to create a robust detection framework that adapts to various encryption techniques, offering early detection across both symmetric and asymmetric encryption schemes. Rigorous testing demonstrated that Crypto-Anomaly Filtering maintains a high detection accuracy, achieving a 98\% detection rate with minimal false positives, highlighting its utility in high-demand and resource-constrained environments. Its multi-threaded scalability ensures efficient processing of extensive datasets, while temporal analysis of encryption patterns enables rapid detection, crucial for mitigating data loss in ransomware incidents. The system’s efficacy in diverse scenarios, combined with its capacity to scale efficiently, illustrates its significant contributions to advancing real-time cybersecurity protections against evolving ransomware threats.
Mechanisms for Dealing With the Unexpected in Small-Scale Contracting Using Smart Contracts
Authors: Fukuzawa Mathew , Kay Michael , McConnell Brandon , Thoney-Barletta Kristin , Warsing Donald
Published: October 2024

Purpose - Demonstrate proof-of-concept for an expanded blockchain smart contract based small-scale contracting process that includes an internally managed arbitration service to manage disputes.
Design/Methodology/Approach - Using Ethereum smart contracts, we model a small-scale general contracting scenario with disruptions. Execution is demonstrated with the Remix Integrated Development Environment (IDE).
Findings - We show the feasibility of managing general contracting disputes with an internal arbitration service, completely encompassed within blockchain smart contracts.
Originality/value - This research continues an original effort to model the small-scale general contracting scenario on a blockchain network.
Research limitations/implications - Further work is required to expand the scope of dispute management and account for additional external factors. Also, full-scale decentralized application is not explored here.
Practical implications - This process expands the scope of current practices and tools, such as Angi, in a decentralized manner with blockchain.
Social Implications - Full-scale adoption at the small scale is likely difficult due to disbelief in technology, cost, and resistance to change.
The Influence of Top-Down Interpretations on the Full-Body Illusion: An Examination of the Relationship Between the Observer-Self and Self-Body
Authors: Yamamoto Kazuki , Sakamoto Ren , Nakao Takashi
Published: October 2024

The full-body illusion (FBI) demonstrates the malleability of the sense of body ownership through multisensory integration. Although the impact of bottom-up processes in the FBI is well documented, the role of top-down factors remains unclear. This study investigated how different interpretations of the relationship between the observer-self and a virtual body, considered the self-body in a third-person FBI, influence the occurrence and strength of the FBI. The study is guided by predictive coding theory. We employed a virtual-reality-based third-person perspective FBI paradigm with 66 healthy participants. Participants were randomly assigned to two interpretation conditions: an integration condition (instructed to view the virtual body as their own) and a separation condition (instructed to view the virtual body as a separate body that exists in virtual reality, distinct from their current physical self-body). Both conditions included synchronous and asynchronous visuo-tactile stimulation. The strength of the FBI was measured objectively via skin conductance response (SCR) to a threat stimulus and subjectively using an illusion questionnaire. The results showed that the integration condition experienced a significant occurrence of the FBI, as indicated by a higher SCR in the synchronous versus asynchronous stimulation. Conversely, the separation condition showed no significant difference in SCR, suggesting the absence of the FBI. A comparison of the strength of the FBI between conditions revealed significantly stronger illusions in the integration condition than in the separation condition, supporting the influence of top-down interpretation on the FBI. Our findings provide empirical evidence of the role of top-down interpretations in modulating FBI, extending the predictive coding framework of body ownership. This study contributes to our understanding of body ownership as a complex interplay between sensory inputs and cognitive predictions rather than a purely bottom-up process.
Emphasizing herd immunity in vaccine advocacy: A systematic review and three-level meta-analysis
Authors: Reiter Leonhard , Voracek Martin , Betsch Cornelia , Böhm Robert
Published: October 2024

Emphasizing herd immunity may increase or decrease vaccination motivation through prosocial or selfish motivations or have no effect at all. Despite extensive research, a quantitative synthesis of evidence is lacking. We conducted a systematic review and three- level meta-analysis regarding the impact of emphasizing herd immunity on vaccination motivation, synthesizing over a decade of experimental research. The synthesis utilized forward and backward citation searches, examining literature up to May 2024 across databases such as CINAHL, Google Scholar, PubMed, PsycINFO, Scopus, The Cochrane Library, and Web of Science. No language or formal exclusion criteria were applied. Studies were excluded if non-experimental or if they did not assess vaccination motivation. Risk of bias was evaluated using JBI checklists. The synthesis is preregistered on PROSPERO (CRD42024540536). The search identified 5,863 records; 3,935 were screened, and 281 full- text records assessed. Ultimately, 41 eligible studies (65 effect sizes) with 100,678 participants (50,826 intervention, 49,852 control) were included. The pooled effect size (Hedges g = 0.13, 95% CI [0.08, 0.18], p < 0.001) indicated a small positive effect of emphasizing herd immunity on vaccination motivation, with large between-study heterogeneity (I2 = 91.2%). Experiential communication methods (e.g., VR, simulations) showed stronger effects, with no evidence of publication bias and sufficient study quality. In conclusion, emphasizing herd immunityenhances vaccination motivation, particularly with experiential communication methods.
Registered Report: Distinguishing Personality Functioning, Normal-Range Traits, and Maladaptive Traits in Offenders
Authors: Liu Yuping
Published: October 2024

Ideally, clinical personality assessment models would be comprehensive enough to describe the whole person but non-redundant to be efficient. Concerns about redundancy between personality functioning and maladaptive traits has preoccupied research on the Alternative Model of Personality Disorders (AMPD). This work has mainly been conducted in cross-sectional studies from Western convenience samples. This registered report will examine the relationships and distinctions between personality functioning, normal-range traits, and maladaptive traits in two large Chinese offender samples (N1 = 1359 and N2 = 1034 at T1, respectively) using four waves of data over one year. We propose to test eleven specific hypotheses and conduct one exploratory analysis (i.e., gender differences) about redundancies and distinctions in each set of variables, providing the most comprehensive test of this question to date and extending the literature to a unique, non-Western sample in which personality assessment may have particular value.
Behavioural Intention to Adoption of Digital Wallets in Nepal: An Application Using the UTAUT Model
Authors: Sanita Mastran  , Bindu Bhandari
Published: October 2024

Digital wallets in Nepal have expanded beyond just basic financial transactions. They are utilized for online purchases, utility bill payments, tax payments, renewal services, and many more. With the rapid growth of technology and the digital economy, digital wallet users are also growing (27.86%) within a year. Digital wallet users are self-assured to become a vital instrument in enhancing the quality of life for Nepali citizens and promoting financial inclusion. They are fast becoming an indispensable component of the country's financial ecosystem. The purpose of this research was to examine the elements that influence behavioral intention to adopt digital wallets. Data was gathered from a group of 150 individuals from various regions of Nepal. The study relied on five independent variables (Performance expectancy, effort expectancy, social influence, facilitating condition, and trust) derived from the UTAUT model. Convenience sampling was used to gather the information. The result shows that the facilitating condition was not relevant in the adoption of digital wallets in Nepal. Similarly, the age factor of the users was more associated than the gender of the respondents with performance expectancy in the Nepalese context.
Research on the Theoretical Basis and Experimental Pathway of Music Therapy Based on Artificial Intelligence Technology
Authors: Ge Meng
Published: October 2024

This study aims to explore the theoretical underpinnings and experimental frameworks of music therapy, particularly when augmented by artificial intelligence (AI) technology. The increasing integration of AI in various scientific domains and daily life prompts its consideration in medical and musical applications. The primary objective is to assess the efficacy of AI-generated music in music therapy settings. To achieve this, a multi-faceted approach combining synthesis, analysis, induction, deduction, and descriptive methods is employed. Additionally, the historical-genetic method is utilized to trace the genesis and evolution of the music therapy-AI intersection. The practical implications of this research are profound, as the findings can inform the development of music therapy practices that incorporate AI. Initial findings suggest that AI enables a more individualized approach in music therapy, which is advantageous. Furthermore, AI-assisted melody creation for therapeutic purposes is significantly faster than traditional methods relying solely on human composition. Consequently, this study underscores the novelty and significance of AI in music therapy research.
Spontaneous recovery of postsurgical progressive cervical spine kyphosis following intramedullary spinal cord tumor resection in a 4-year-old boy: illustrative case
Authors: Michaud Eve , Bokhari Rakan , Saint-Martin Christine , Saran Neil , Dudley Roy W. R
Published: October 2024

BACKGROUND

Postsurgical kyphosis is relatively common in children who have undergone resection of intramedullary spinal cord tumors. Progressive kyphosis almost always requires instrumentation and fusion surgery, which can delay or interfere with adjuvant oncological treatments and can deleteriously impact the long-term performance status of the patient.

OBSERVATIONS

Here, the authors report a case of near-complete spontaneous recovery (i.e., without spinal fusion surgery) of postsurgical progressive cervical spine kyphosis following intramedullary spinal cord tumor resection and discuss the potential factors that may have contributed to this positive outcome.

LESSONS

This case serves as a reminder that spontaneous recovery from postsurgical progressive cervical spine kyphosis can occur and that some patients (i.e., those without neurological deficits) can be monitored closely, with a watch-and-wait approach, before subjecting them to additional surgical risks, delays in other treatments, and potential morbidity.

https://thejns.org/doi/10.3171/CASE24187
Use of extracorporeal membrane oxygenation during a decompressive hemicraniectomy for severe traumatic brain injury: illustrative case
Authors: Draytsel Dan Y , Oh Justin , Tanski Christopher T , Oliver Otite Fadar , Burke Ethan , Ali Syed , Li Fenghua , Beutler Timothy
Published: October 2024

BACKGROUND

Decompressive hemicraniectomy (DHC) can be a life-saving treatment for patients with severe traumatic brain injury (TBI) with a focal mass lesion who develop refractory elevated intracranial pressure (ICP). Nonetheless, successful completion of this procedure requires maintaining hemodynamic and respiratory stability. Extracorporeal membrane oxygenation (ECMO) use in patients with respiratory or cardiac failure is well described in the literature and has become routinely used in patients with refractory hypoxia unresponsive to traditional mechanical ventilation strategies, but few cases of its use have been reported in the neurosurgical literature.

OBSERVATIONS

Herein, the authors describe a unique case in which a man presented after an unwitnessed fall that caused severe TBI without a focal mass lesion. The patient subsequently developed medically refractory elevated ICP secondary to traumatic cerebral edema. He required DHC, but the procedure could only be completed safely with the utilization of intraoperative ECMO.

LESSONS

As more is learned about the techniques and pitfalls of ECMO, its indications are rapidly expanding. The case presented describes the safe use of ECMO during a major neurosurgical procedure, showing that the technique can be completed safely and offering a therapeutic option for effectively addressing refractory hypoxia and hypercarbia in patients with severe TBI who require urgent or emergency neurosurgical procedures.

https://thejns.org/doi/10.3171/CASE24264
Emergency microsurgical trapping, decompression, and revascularization of a middle cerebral artery dissecting aneurysm using a minipterional approach in a pediatric patient: illustrative case
Authors: Albiña-Palmarola Pablo , Díaz-Peregrino Roberto , Muñoz Sebastian , Lopez Eduardo , Henkes Hans , Mura Jorge
Published: October 2024

BACKGROUND

Pediatric intracranial aneurysms present unique diagnostic and therapeutic challenges due to their rarity and their distinct anatomical and physiological considerations compared with those of adult intracranial aneurysms. The authors present the case of a symptomatic pediatric patient who required emergency microsurgical treatment after a thrombosed dissecting aneurysm was identified in the right M1 segment of the middle cerebral artery.

OBSERVATIONS

The lesion completely occluded its parent vessel, although distal blood flow was reconstituted through leptomeningeal collaterals. However, aneurysm wall contrast enhancement and signs of early perfusion changes were noticed, which prompted emergency treatment consisting of microsurgical aneurysm trapping, decompression, and extracranial/intracranial revascularization to be successfully performed through a minipterional craniotomy. After 1 year, the bypass occluded, although the patient remained asymptomatic. A slight enlargement of the ipsilateral anterior cerebral artery suggested the possibility of a benign hemodynamic rearrangement.

LESSONS

Emergency treatment may be necessary when signs of lesion instability or hemodynamic compromise are present; however, a comprehensive multidisciplinary evaluation is required. Treatment of complex vascular lesions using a minipterional approach is feasible even in pediatric patients, and delayed bypass occlusion may be a benign phenomenon reflecting gradual blood flow reorganization.

https://thejns.org/doi/10.3171/CASE24484
ПІДХІД ДО ОЦІНКИ ІНСТРУМЕНТІВ ФОРМУВАННЯ ВАЛОВОГО ЗОВНІШНЬОГО БОРГУ
Authors: РАЗІНЬКОВА Міла
Published: October 2024

У статті розглянуто підхід до оцінювання інструментів формування валового зовнішнього боргу з метою диверсифікації рівня економічної безпеки державної складової запозичень. Проаналізовано дані про структуру загального зовнішнього боргу України. Наголошено доцільність запровадження ефективної політики управління державним боргом. Визначено, що основними причинами нестабільної боргової ситуації в Україні є хронічний дефіцит державного бюджету та неефективне використання позикових коштів.
Exploring the Relationship between Dispute Resolution and Organizational Performance: An Empirical Study on the Impact of Communication Climate
Authors: Rahman Mohammad Masudur , Newaz H. T. M. Quader , Khan Mokbul Ahmed , Abdul Jalil Mohammad , Tanya Rabeya Khatun
Published: October 2024

Ineffective communication is a dominant source of instability and significant worker dissatisfaction in the manufacturing industry, including the readymade clothing sector. Workers’ dissatisfaction at the workplace creates labor unrest. Consequently, productivity may be significantly affected by labor unrest, which is an inevitable component of any industrial operation. A harmonious work environment, free from conflicts among employees, should be a focus for every successful organization. This research suggests that the communication climate be implemented as a resolution technique for workplace disputes. Data was collected through structured questionnaire surveys and random sampling in this quantitative research. Data was obtained from the readymade garment factories in Bangladesh. One hundred twenty employees participated in the survey. Statistical Package for the Social Sciences (SPSS) was used to analyze the data. According to the research, the primary cause of poor business performance at the workplace in the sector is due to inadequate communication. Additionally, the investigation assessed the industry's employees' perspectives regarding the advantages of communication climate in dispute resolution. This study finds a positive correlation between dispute resolution techniques and the communication climate. Pluralist theory served as the theoretical foundation for the investigation in order to substantiate the notion that it provides resources such as knowledge, constructive criticism, and opportunities for growth of the sector.
Leichte Behördensprache. Entwicklung eines Konzepts zur Stärkung einer inklusiven Gesellschaft
Authors: Abend Sonja
Published: October 2024

Leichte Sprache gewinnt zunehmend an Bedeutung. Behörden sind gesetzlich dazu verpflichtet, Informationen in Leichter Sprache bereitzustellen, um Menschen mit geistigen oder seelischen Behinderungen eine barrierefreie Kommunikation zu ermöglichen. Sonja Abend untersucht die Sichtweisen von Behördenmitarbeitenden, die rechtlichen Rahmenbedingungen und vergleicht Leichte Sprache mit bürgernaher Verwaltungssprache. Daraus entwickelt sie das Konzept der Leichten Behördensprache.
Zur curricularen Verankerung diversitätsbezogener Begriffe. Eine Analyse erziehungs- und bildungswissenschaftlicher Studiengänge
Authors: Biehl Annalisa , Besa Kris-Stephen , Gesang Johanna , Schmitt Caroline
Published: October 2024

Diversität wird in der erziehungs- bzw. bildungswissenschaftlichen Forschung sehr breit diskutiert, allerdings ist bislang weitestgehend unklar, inwiefern Studierende pädagogischer Studiengänge für Diversität sensibilisiert werden und wie und in welchem Maße eine Behandlung von Diversität als Thema in universitären Lehrveranstaltungen curricular verankert ist. Angesichts dessen sollen einerseits die Modulhandbücher entsprechender Studiengänge sowie andererseits die Denominationen der in diesen Studiengängen lehrenden Professuren im Hinblick auf die Verankerung diversitätsbezogener Begriffe analysiert werden, um einen (ersten) Überblick über die Auseinandersetzung an den entsprechenden Hochschulstandorten zu bekommen.
A CNNbased energy management strategy for a Hybrid energy storage system in electric vehicles
Authors: Katkar Vaishali Abhijeet , Goswami Prerna , Yashwante Meghna Ranjit
Published: October 2024

When approaching a large-scale performance, the choice, size, and administration of an Energy Storage System (ESS) for an Electric Vehicle (EV) are crucial. As the peak-to-average power demand ratio is relatively large, particularly for an urban ride that is frequently marked by rapid deceleration as well as acceleration, the complementary characteristics of the battery and Ultra-Capacitor (UC)render this arrangement a viable Hybrid energy storage system (HESS) for EV. Enhanced dynamic responsiveness, increased miles per charge, and extended battery life provided by the HESS increase the Electric Vehicle (EV’s) effectiveness. The primary objective of the study that has been suggested is to create a smart Energy Management Strategy (EMS) for EVs. A battery package and a properly sized Ultra-Capacitor (UC) together give the required high power along with energy density. This research proposes a CNN-based power management technique to aid in efficient EMS. Additionally, by adjusting the Convolution Neural Network (CNN) classifier’s weights through Improved Honey Badger Optimization (IHBO), the adaptive approach of the Standard HBO Algorithm, the performance of the classifier is improved. In MATLAB, the suggested CNN-based model for BESS EM is simulated and experimental assessment and analysis are done in terms of converter current and battery SoC. By contrasting the suggested approach against several standardized models, the performance analysis of the proposed work is assessed to validate its performance.
Reply to Comment on “Neutrino Oscillations Originate from Virtual Excitation of Z Bosons” and “Neutrinos Produced from β Decays of Neutrons Cannot Be in Coherent Superpositions of Different Mass Eigenstates”
Authors: Zheng Shi-Biao
Published: October 2024

In this reply, I point out that the comment by Cline[1] on my manusripts[2][3] has overlooked the critical fact that the quantum en- tanglement between the neutrino’s mass and other degrees of freedom would destroy the quantum coherence between the mass eigenstates.
Sanat Eğitiminde Orff Çalgılarının Masallarda Kullanımına İlişkin Bir Uygulama
Authors: Bilen Gülgün , Teker Emine
Published: October 2024

Sanat eğitimi, kişilerin yaratıcılık potansiyelini ortaya çıkarmak, sosyal ilişkilerini ayarlamasını sağlayıp özgüvenli bireyler yetiştirmek ve bu sayede üretken insanlara dönüştürmeyi becerebilen en önemli insan yetiştirme disiplinlerinden biridir. Bu araştırmanın amacı, Sanat Eğitiminde Orff çalgılarının masallarda kullanımına ilişkin özgün bir uygulama ile öğrenci görüşlerini ortaya çıkarmak ve onların algılarıyla Orff çalgılarının kullanımına yönelik neler yapıldığını belirlemektir. Araştırma; konusu bakımından nitel, desen bakımından fenomenolojik (olgubilim) bir çalışmadır. Araştırmanın çalışma grubunu; Harran Üniversitesi, Müzik Eğitimi Anabilim Dalı 4. sınıfta öğrenim görmekte olan 29 öğrenci oluşturmaktadır. Araştırma sonucunda, uygulamaya katılan öğrencilerin görüşleri doğrultusunda; sanat eğitiminde Orff çalgılarının masallarda kullanımı, hayal gücü, yaratıcılık ve sosyalleşmenin gerçekleştiği eğlenceli bir öğrenme ortamı oluşturduğu tespit edilmiştir. Masallar, sadece çocukların dünyasında değil, büyüklerin dünyasında da yani insan ilişkilerinin oluşumunda önemli bir yere sahip olduğu bu uygulamayla vurgulanmıştır. Bu bağlamda, masallardaki hayal gücünün Orff enstrümanlarıyla birleşerek eğlenceli bir öğrenme ortamı oluşturduğu, Orff çalgılarını tanıma ve kullanma konusunda yeterli bilgi edinilmesini sağladığı belirlenmiştir. Ayrıca, bu uygulamanın heyecan kontrolü, iletişim becerileri, birlikte iş yapma keyfi, problem çözme becerisi, yaratıcılık ve topluluk önünde yer alma gibi alanlarda öğrencilerin özgüvenlerini geliştirerek olumlu değişikliklere neden olduğu düşünülmektedir.