bluuebunny/crossref_metadata_2025 huggingface dataset:
Recovery of Accidental Traumatic Brain Injury (TBI) in an Infant Bonnet Macaque (Macaca radiata) by Progesterone Therapy
Authors: Premalatha N. , Ramkumar P.K. , Sathishkumar S. , Tamileniyan E. , Saravanan M. , Veeraselvam M. , Senthilkumar S.
Published: September 2024

An infant male bonnet macaque with a history of accident and lateral recumbency presented to the Veterinary Clinical Complex, VCRI, Orathanadu. On examination he scored a 10 on the modified Glasgow Coma Scale (GCS), and the animal had racoon eyes. Immediately skull X-ray was taken and it revealed two radiating temporal bone fracture. These characteristics strongly pointed to a tentative diagnosis of Traumatic Brain Injury. In addition to supportive care, Progesterone, a neuroprotective steroid, was continuously administered to the animal at a dose rate of 0.2 mg per kg SID P.O. In order to manage and monitor the animal health, it was admitted to the critical care unit. On the tenth day, the animal showed slight improvement and had hemiparesis on the contralateral side of the cranial lesion. The animal's limb reflexes were fully restored by day 20. However cerebral and vestibular lesions persisted with signs of blindness, nystagmus, and circling. After 60 days of continuous treatment animal recovered uneventfully.
Deep Ocean Early-Career Researchers Dive into Data Management Training
Authors:   Woods Hole Oceanographic Institution, Beaulieu Stace , Smith Leslie , Stocks Karen
Published: September 2024

Open access to scientific data is increasingly recognized as critical to fostering scientific progress, trustworthy and reproducible science, global information equity, and evidence-based policymaking. It requires scientists to not only share their data, but to share in such a way that the data have high utility for later users. The FAIR data principles define a set of characteristics for making data “findable, accessible, interoperable, and reusable” (Wilkinson et al., 2016). Training scientists, particularly early-career scientists, on these principles can improve the volume and quality of open science data.
EFFECTS OF NON-OPERATING INCOME AND BANK SIZE ON PROFITABILITY AND LIQUIDITY; A STUDY ON SRI LANKAN COMMERCIAL BANKING SECTOR
Authors: Anupama  , Jayalath
Published: September 2024

The study explores the complex interplay between bank size, profitability, liquidity, and non-operating income (NOIM) in the context of Sri Lanka's commercial banking industry. Prior research has frequently disregarded NOIM and bank size as direct predictors of profitability and liquidity, despite their importance in financial success. Through an examination of the banking environment in Sri Lanka, this study seeks to clarify how NOIM and bank size have a unique bearing on profitability (as determined by ROA) and liquidity (as determined by liquidity ratio). This research uses secondary data and a positivist quantitative analysis to reveal the distinct roles that bank size and NOIM play in affecting the financial health of Sri Lanka's commercial banks. The findings are significant because they will help shape regulatory frameworks and strategic decision-making in the industry. In order to examine the relationship between NOIM, bank size, profitability, and liquidity, this study uses a deductive research methodology and a quantitative approach based on positivism. The relationships between these variables are investigated through the use of panel data regression analysis, correlational analysis, and descriptive statistics, all of which are performed using the statistical program SPSS. The findings of this analysis show that bank size is a strong predictor of liquidity but not profitability and that NOIM has no discernible effect on either profitability or liquidity. The study shows that, although bank size and NOIM have no bearing on profitability, bank size and NOIM have a significant impact on liquidity. These revelations offer significant implications for regulatory concerns and strategic management by deepening the grasp of the variables influencing financial performance and liquidity in the banking industry. The discussion was used to compare the findings of the present study with the findings of the existing studies. The impact of NOIM has a mixture of results some scholars found that there is a significant impact while in some studies there was not a significant impact. However, as the present study also found, the band size significantly determines the profitability and liquidity of banks.
THE INFLUENCE OF INTELLECTUAL CAPITAL ON FINANCIAL PERFORMANCE: EVIDENCE FROM LICENSED SPECIALIZED BANKS IN SRI LANKA
Authors: Kanishka
Published: September 2024

As the knowledge-based economy developed, businesses transformed their emphasis from physical to intellectual capital. Numerous studies have looked into how intellectual capital affects a company's value. The study's goal is to investigate, from 2010 to 2022, the connection between five licensed specialized banks' financial performance and their intellectual capital. The statements of comprehensive income and financial position for the pertinent years were the main sources of the data that were collected from the banks' annual reports available on their individual websites. The study's results were analysed and secondary quantitative data screened using EViews version 9 statistical software. The value-added intellectual coefficient method was used to measure the banks' performance based on their intellectual capital. The return on equity and return on assets are two indicators of the bank's performance. The value of intellectual capital was analyzed in three categories: structural, intellectual, and physical. Both simple and multiple regression techniques were used to assess the effect of intellectual capital on equity and assets. The study found a significant correlation between the value-added intellectual coefficient, its components, and financial performance. In both multiple regression models, the structural capital efficiency was statistically insignificant but positively correlated. Both multiple regression models showed statistical insignificance and negative correlation for the capital employed efficiency. Human capital efficiency was statistically significant and positively correlated in both multiple regression models. The most crucial value-added intellectual coefficient factor for generating value in Sri Lankan specialty banks operating in the banking industry is human capital efficiency. Additionally, this study will give stakeholders and possible investors some information to evaluate the value-creating potential of particular banks. The findings of the study help to increase decision-makers' understanding of the importance of intellectual capital as a crucial element that can enhance a business's ability to maintain its competitive position. This study is the first to examine the impact of intellectual capital on the financial performance of Sri Lankan licensed specialized banks through 2023. The study emphasizes how critical it is to investigate the relationship between intellectual capital and the banking industry's financial performance in greater detail.
THE IMPACT OF MICRO FINANCE SERVICES ON WOMEN'S ECONOMIC EMPOWERMENT; EVIDENCE FROM KURUNEGALA DISTRICT IN SRI LANKA
Authors: Kahanawita  , Lakmal
Published: September 2024

Women's economic empowerment has become one of the most pressing concerns in the world as empowering women economically, can make a significant contribution to the expansion of the economy and their immediate families to maintain a sustainable way of life. The concept of microfinance has developed as a tool to obtain both financial and non-financial support for poor people's self-empowerment. Women who come from low-income families are given the ability to make a valuable contribution to the economy through the use of microfinance. In the Sri Lankan context, female labor force participation is comparatively at a lower level, and thus more women are economically inactive. Therefore, microfinance services are vital to low-income women in both rural and urban areas. Due to the vitality of this aspect, this research aims to examine the impact of microcredit, micro saving, financial training, and advisory services on women's economic empowerment in Sri Lanka. The population used in this research is microfinance women beneficiaries in Kurunegala District, and the researcher selected 380 microfinance women beneficiaries as the sample size of this study using random sampling technique. Data collection was conducted using structured, self-administered, web-based questionnaires and personal interviews, where the data set was analyzed using multiple linear regression analysis. The results of this research show that microcredit, micro savings, financial training, and advisory services significantly and positively impact women's economic empowerment. Accordingly, the researcher recommends microfinance institutions to increase the granting of microcredit facilities to poor women in the Kurunagala district, as these institutions have given less loan amounts than applied. Also, it is recommended to reduce interest rates and increase payback periods, as high interest rates are an additional burden on the customers. Furthermore, the government should pay more attention to these low-income women and conduct some programs to improve their knowledge and careers. Meanwhile, microfinance institutions should improve their management capacity and strive to reach out to women in need to enhance their economic empowerment and improve their contribution to the workforce and economy.
Pengaruh Kewajiban Pemenuhan Modal Minimum terhadap Kinerja Perusahaan: Peran Risiko Kredit sebagai Variabel Moderasi
Authors: Bagiana I Kadek
Published: September 2024

Penelitian ini bertujuan untuk menganalisis pengaruh Capital Adequacy Ratio (CAR) terhadap Price Book Value (PBV) perusahaan perbankan dengan mempertimbangkan peran Non-Performing Loan (NPL) sebagai variabel moderasi. Menggunakan data panel dari 47 perusahaan perbankan yang terdaftar di Bursa Efek Indonesia selama periode 2021-2023, penelitian ini menerapkan analisis regresi moderasi untuk memahami interaksi antara kecukupan modal dan risiko kredit. Hasil penelitian menunjukkan bahwa CAR berpengaruh positif signifikan terhadap PBV dengan nilai koefisien sebesar 0.086, dengan standar error 0.013 dan t-statistik 6.569 yang memiliki signifikansi 0.000. Sedangkan NPL tidak berpengaruh signifikan dengan koefisien 0.348 dengan standar error 0.350, t-statistik 0.993, dan signifikansi 0.323 . Selanjutnya, ditemukan bahwa NPL memperlemah hubungan antara CAR dan PBV dengan koefisien -0.014 dengan standar error 0.005, t-statistik -2.936, dan signifikansi 0.004, yang menunjukkan bahwa NPL memiliki efek moderasi yang signifikan dan negatif, di mana peningkatan NPL mengurangi pengaruh positif CAR terhadap PBV. Temuan ini menekankan pentingnya pengelolaan risiko kredit yang efektif untuk memaksimalkan manfaat dari kecukupan modal dalam meningkatkan nilai pasar perusahaan.
Frei Manoel Calado entre católicos e calvinistas:
Authors: Costa Regina de Carvalho Ribeiro da
Published: September 2024

Atuação singular no contexto da dominação neerlandesa nas capitanias açucareiras da América portuguesa foi a de Frei Manoel Calado, popularmente conhecido como Frei Manoel dos Óculos. Perseguido pelo bispo D. Pedro da Silva e Sampaio, foram os contatos do religioso com os holandeses, e não propriamente sua prática missionária, mas sobretudo, sua amizade com o governador Conde de Nassau, que levantaram as suspeitas do bispo da Bahia, ex-Inquisidor português. Investigar as tramas deste frade que é mais conhecido pelo seu papel de cronista no contexto do Brasil holandês que conseguiu escapar das malhas inquisitoriais, por meio da análise das acusações registradas nos Cadernos do Promotor da Inquisição de Lisboa é o objetivo central do presente artigo que acaba por revelar, também, o confuso modus operandi próprio do tribunal, articulado através da ação do bispo da diocese. O artigo parte de uma breve discussão historiográfica sobre a caracterização do ambiente do Brasil holandês como tempo de liberdade ou de intolerância religiosa; avança sobre a análise das fontes que apontam como o frei se tornou suspeito entre os católicos e foi perseguido entre os calvinistas; e conclui demonstrando a importância da prática missionária deste religioso para a manutenção do catolicismo na região.
Fuṣūṣ al-ḥikam y los desafíos filosóficos de un libro visionario
Authors: Diego González Antonio de
Published: September 2024

Fuṣūṣ al-ḥikam es una de las obras más importantes del místico y pensador andalusí Muḥyī l-dīn Ibn ‘Arabī (1165-1240). Este texto, uno de los más bellos ejemplos del pensamiento medieval, constituye un auténtico repositorio simbólico del saber de la tradición abrahámica. Al mismo tiempo, el maestro murciano atribuye esta obra a una experiencia visionaria en forma de conocimiento descendido de la que él se sintió un mero transcriptor. Este trabajo propone analizar simbólicamente los desafíos de un libro visionario y, por otra parte, los recursos que este utiliza: los profetas como arquetipos para justificar la antropología trascendental del ser humano perfecto (al-insān al-kāmil) y la metodología de la “cadena engarzada” para legitimar un saber más allá de la razón.
Rumi:
Authors: Werneck Mário
Published: September 2024

O presente trabalho busca mostrar o processo de criação sob o ponto de vista da poesia mística de Rumi. Portanto, procura demonstrar como Rumi dá vida, em seus escritos, ao máximo ato vivificador, à beleza com a qual ele entende e transporta, pelas palavras, o conhecimento do ato criador divino. Trata-se, portanto, de mostrar o processo de criação pelo qual as criaturas recebem a filiação do Criador, e como esse elo primordial com a transcendência é então capaz de inspirar todo movimento observado pelo místico em direção ao processo de união, que no caso de Rumi, remete ao movimento de influxo do amor. É pelo amor que as criaturas são chamadas a reconhecer, no mundo e no cosmos os atributos de Deus, dos quais elas participam por filiação.
Teses sobre método
Authors: Lincoln Bruce , Rocha Daniel , Caldeira Henrique Rodrigues
Published: September 2024

Tradução de: LINCOLN, Bruce. Theses on Method. In Theory and Method in the Study of Religion. Leiden, Brill, 2013. Disponível em: http://doi.org/10.1163/9789004257573_017. A presente tradução foi publicada com a autorização do autor e da editora Brill.
Statistical Analysis for Variate Relationships in the South African ECD System
Authors: Venter Lieschen
Published: September 2024

The comprehensive mapping of the South African early childhood development (ECD) system necessitates extensive statistical analysis to identify and quantify key factors within the country’s unique context. This study employs statistical techniques to analyze data from the 2022 General Household Survey, focusing on children aged newborn to 6 years. Factor analysis, multilevel regression, and structural equation modeling were used to identify five person-level factors (i.e., child health, ECD quality, family structure, welfare income, ECD attendance) and four household-level factors (i.e., food insecurity, home assets, home utilities, housing quality). The final structural equation model demonstrates an excellent fit and explains substantial variance in key outcomes. The findings reveal strong associations between child health and ECD attendance with attendance positively influencing ECD quality. Family structure showed a significant positive association with home assets while welfare income emerged as a significant predictor of multiple outcomes. This nuanced understanding of the South African ECD system highlights the interconnected nature of individual and contextual factors, underscoring the need for holistic approaches to ECD that address both educational and socioeconomic aspects.
Human Tails and Whole Exome Sequencing Findings: Is There any Association? A Case Report
Authors: Soleimani Zahra , Soleimani Azam , Khafaei Mostafa , Ghalandarpoor-Attar Seyedeh Noushin , Ghalandarpoor-Attar Seyedeh Mojgan
Published: September 2024

Introduction: The human tail is a rare congenital condition characterized by a caudal cutaneous appendage, primarily located in the lumbosacral region. These tails are often associated with other congenital malformations, most notably spinal dysraphism. Case Presentation: A 3-week-old male neonate was referred to the Baqiyatallah Pediatric Clinic in Tehran, Iran, due to a 12-cm-long congenital tail-like appendage in his lumbosacral region, which contained only soft tissue upon palpation. There was no apparent neurological deficit on physical examination or magnetic resonance imaging. No other concomitant malformations were present. The parents were consanguineous, and a previous pregnancy had been terminated at 18 weeks of gestation due to a prenatal diagnosis of a neural tube defect. As a result, genetic consultation and whole exome sequencing were performed. Some phenotype-related variants of uncertain significance were detected, and the baby was also found to be heterozygous for oculocutaneous albinism. Conclusions: Although some genetic variants of uncertain significance and a pathogenic variant associated with albinism were identified in this case, the absence of other manifestations beyond the tail and the lack of literature on this topic make the clinical implications of genetic testing in human tails unclear. Further investigation is required to understand these implications.
Reservoirs of Antimicrobial Resistance
Authors:   Parliamentary Office of Science and Technology, Dowling Alana , Border Peter
Published: September 2024

The widespread use of antimicrobials, particularly antibiotics, has accelerated the spread of antimicrobial resistance (AMR) in microbes. A recent report by the Health and Social Care Committee called for AMR to be a 'top five policy priority'. This POSTnote evaluates the main reservoirs of AMR microbes arising from the use of antimicrobials in both humans and animals.
Monitoring of GFRP pipelines in Power Plants using acoustic emission testing
Authors:   Fraunhofer Institute for Ceramic Technologies and Systems IKTS, Schubert Lars ,   Fraunhofer Institute for Ceramic Technologies and Systems IKTS, Stephan Mareike ,   Fraunhofer Institute for Ceramic Technologies and Systems IKTS, Schulze Eberhard ,   Fraunhofer Institute for Ceramic Technologies and Systems IKTS, Pietzsch Alexander ,   Fraunhofer Institute for Ceramic Technologies and Systems IKTS, Kruska Carsten ,   RWE Power AG, Waldmann Barbara ,   RWE Power AG, Maun André
Published: September 2024

In coal-fired power plants, the flue gas is transported through fibreglassreinforced pipelines to cooling towers during the combustion of the respective raw material, which often serve as a marker for a power plant in the landscape. These glass-fibre reinforced pipelines are located at great heights and can have very large diameters. Up to now, testing has been carried out as part of inspections during planned shutdowns and is associated with corresponding costs. The article discusses the use of acoustic measurement methods based on a 4-month installation at the Niederaußem power plant. Measurement results based on the acoustic emission analysis were shown. For the acoustic emission measurements, a repaired site was instrumented and different parameters like hit/event rates, acoustic energies as well as weighted peak frequencies of the acoustic signals were recorded over the monitoring period of 4 months at power plant Niederaußem. In a second power plant Neurath a 5-month AE monitoring were carried out. This measurement results were discussed as well.
Continuous acoustic data mining from a scattering network
Authors:   University of Grenoble (UJF)-Alpes, de la Selle Théotime ,   National Institute of Applied Science ( INSA-Lyon)- University of Lyon, Deschanel Stéphanie ,   University of Grenoble (UJF)-Alpes, Weiss Jérome
Published: September 2024

In order to address the challenge of exploring new signals and
recognizing sources based on both statistics and physics, a relevant time series
representation tool, known as a deep scattering network, has been developed. A deep
scattering network is a deep convolutional neural network that implements a cascade
of convolutions with wavelet filters, a modulus function, and pooling operations.
The advantage for unsupervised classification of time series is that deep scattering
spectra are locally invariant to translation and preserve transient phenomena such as
attack and amplitude modulation.
We show that an AE adapted scattering network, combined with reduction model
and clustering algorithm, is an efficient tool to perform unsupervised investigation
of continuous acoustic data by applying our method on AE streaming recorded
during fatigue testing: low amplitude acoustic multiplets non registered by common
AE procedure has been clustered successfully and the content of the continuous
acoustic background can be automatically grouped into classes of similar physical
mechanisms, e.g. frictions, plasticity or electronic and mechanical noise.
Speech recognition inspired features for acoustic emission
Authors:   University of Augsburg, Luong Quy R. ,   University of Augsburg, Schlech Thomas ,   University of Augsburg, Sause Markus G. R.
Published: September 2024

For the application of acoustic emission methods in the field of condition monitoring, extracting meaningful information out of signals is an essential step in signal processing and mandatory for machine learning. However, when dealing with acoustic emission signals, the computational intensity of extracting features is becoming more important due to its large amount of data. The methodology in this study, hence, investigates established methods from descriptive statistics as typically used in acoustic emission and techniques commonly employed in speech recognition. Thereby, the objective is to improve the feature extraction of acoustic emission signals, emphasizing the synergies between the methods of both approaches. Extracting traditional acoustic emission features based on descriptive statistics alone usually yields robust features capturing the significant patterns within the time and frequency domain. However, traditional acoustic emission features may neglect more detailed information present in the signals due to averaging or mere evaluation of extreme values. To address this limitation, the methodology is extended by incorporating techniques from the field of speech recognition, such as applying window functions and digital filter banks to calculate the so-called cepstral coefficients. When comparing machine learning models that incorporate these cepstral coefficients alongside those that do not, this approach demonstrates that speech recognition techniques can result in more effective models. Here, the basic concept for speech recognition-based feature extraction and its implementation are presented, and necessary considerations and techniques are discussed, which are crucial for performant signal processing, particularly for real-time monitoring applications. The methodology is demonstrated, using acoustic emission signals derived from industrial-scale processes , such as e.g. milling, drilling or friction stir welding.
Research of Acoustic Emission Characteristics and Applicability of Artificial Intelligence for Source Localization
Authors:   Technische Hochschule Mittelhessen (THM), Bulut Erbil-Batur ,   Technische Hochschule Mittelhessen (THM), Manthei Gerd ,   Technische Hochschule Mittelhessen (THM), Sirbu Ivan ,   Technische Hochschule Mittelhessen (THM), Guckert Michael
Published: September 2024

Within this research, the deployment of artificial intelligence for the localization of acoustic emissions (AE) is being investigated. In detail, series of experiments were conducted on a plate of granite with homogeneous and isotropic material behavior. Acoustic emissions could be generated by the breaking of pencil leads, as well as the impact of rice grains and steel balls on 81 specific positions with a distance of 50 mm in both horizontal axes to each other. The response of the system was recorded using 16 acoustic emission sensors, of which 8 sensors were positioned on each surface side of the plate. In further steps the data could be processed, so that the resulting characteristic signal features could be translated into spec-trograms and furthermore being used as input for the artificial intelligence. Additionally, the corresponding source locations appeared as labels. Both, the signal features as well as the labels, could be implemented in the process of supervised learning using a convolutional neural network (CNN). The results of this network indicated a validation accuracy of over 99% as well as a low loss value by classifying the inserted features to the right labels. Thus demonstrates the excellent applicability of artificial intelligence for the source localization of acoustic emission (AE).
Application of the Acousto-ultrasonics technique to bridge cables in their anchorages.
Authors:   Université Gustave Eiffel, Johannes Raphaël ,   National Institute of Applied Science ( INSA-Lyon)- University of Lyon, Godin Nathalie ,   Université Gustave Eiffel, Gaillet Laurent
Published: September 2024

The objective of this research is to evaluate the state of health of civil engineering cable structures using the acousto-ultrasonics method. More specifically, the element to be examined is the cable in its non-accessible part inside the anchor base. Cables in anchor caps are sensitive areas subject to various types of damage, such as water infiltration, which causes corrosion inside the anchor, or fretting fatigue. Such degradation cannot currently be assessed using NDT techniques.
A number of challenges need to be overcome, including the complex geometry of the anchors, which limits the installation of sensors, the diversity of damage that may be present, the sensitivity to the defects being sought and the reproducibility of the measurements.
Once the acoustic signals have been acquired, data analysis is crucial, requiring the use of unsupervised or supervised techniques such as principal component analysis, or more advanced techniques such as decision tree forests. These approaches aim to determine the state of health of anchor caps from the analysis of acoustic signals, providing a reliable diagnostic for the assessment of these parts of engineering structures.
This development could have major implications for the preventive maintenance and sustainability of cable infrastructures, by giving us a reliable and accurate method for assessing cable state.
Explainable AI based Predictions for Workpiece Quality
Authors:   Technische Hochschule Mittelhessen (THM), Straub Timm ,   Technische Hochschule Mittelhessen (THM), Guckert Michael ,   Technische Hochschule Mittelhessen (THM), Fiedler Udo ,   Technische Hochschule Mittelhessen (THM), Strauch Simon
Published: September 2024

It is well known that sound emissions of drilling and milling machines can be used to predict process and work piece quality. Deep Learning models have successfully been applied for that task. However, artificial neural networks are perceived as black boxes as the inference mechanisms of the network are not transparent.

In this paper we present a Convolutional Neural Network trained on audio data with which process and product quality of a milling process can be controlled. The model was trained on 10-second audio snippets recorded from a milling machine that were converted into spectrograms. The trained model classifies the drilling process and predicts the expected workpiece quality. Additionally, rough estimates of the center rough and average roughness depth values are predicted. Moreover, we apply the Explainable AI methods that produce explanations by highlighting sections of the spectrogram that were relevant for the prediction. The spectrograms enriched with the explanations provide insights into the decision making process of the deep learning model in a human interpretable form. Patterns of how and why of a prediction become visible. Areas considered relevant by the model can be compared to the expectations of the human user. Through this explanation component, the model is not only able to make predictions but also to increase trust in the system which is an important aspect of acceptance of AI based quality assurance.
Optical fiber sensors for acoustic emission monitoring
Authors:   University Paris-Saclay, Recoquillay Arnaud ,   University Paris-Saclay, Gallet Antoine ,   University Paris-Saclay, Roussel Nicolas ,   University Paris-Saclay, Albertini Julien ,   University Paris-Saclay, Duval Théo ,   University Paris-Saclay, Pénicaud Maël ,   University Paris-Saclay, Chapuis Bastien ,   University Paris-Saclay, Laffont Guillaume
Published: September 2024

Acoustic emission sensors are most of the time based on piezoelectric sensors, which may not be suited for harsh environments or be too bulky to integrate a large number of them. We present here a system based on Fiber Bragg gratings on optical fibers to measure acoustic emission events. The use of such sensors enables a low intrusivity and measurements in extreme environments. The system is designed to enable measurements under varying environmental conditions, enabling its use in real applications.
AE based crack size estimates from delamination propagation in fiber reinforced thermoset composites
Authors:   Montan Universität (University of Leoben), Gfrerrer Maria ,   Montan Universität (University of Leoben), Koss Veronika ,   Montan Universität (University of Leoben), Pinter Gerald ,   Empa, Swiss Federal Laboratories for Materials Science and Technology, Brunner Andreas J.
Published: September 2024

In previous research it has been shown that micro-crack sizes estimated from acoustic emission (AE) data recorded during Mode I interlaminar delamination propagation in a carbon fiber reinforced PEEK and micro-crack sizes seen in video recordings from simultaneously performed X-ray projection radiography with a contrast agent indicate reasonable agreement. Now the approach of estimating crack sizes from AE data is extended to a carbon and a glass fiber reinforced epoxy laminate, using the same matrix. In a first step sensitivity of the AE measurement is estimated based on recorded AE data and estimated delamination area. Different signal filtering approaches are applied to AE data resulting in different estimated sensitivities. Furthermore, assumed delamination area affects sensitivity. Optical microscopy is used to account for roughness of the delamination area. Depending on the assumed sensitivity, average crack size diameters are either slightly below or above 100 µm in both investigated laminates.
Preliminary characterization of glycerin, gelatin, propylene glycol, and cellulose based substrates for application in green microelectronics
Authors: Synkiewicz-Musialska Beata , Välimäki Marja , Väisänen Kaisa-Leena , Cichocki Radosław , Uppuluri Kiranmai , Sikora Bartłomiej
Published: September 2024

In this study, the potential of biopolymer-based films for printed electronics was investigated. Three different tapes were prepared using a modified tape casting method, with compositions including glycerin, propylene glycol, and cellulose combined with gelatin. The films were evaluated for their temperature resistance, dielectric properties, and water absorption. The results indicated that the film with propylene glycol exhibited the highest temperature resistance, making it suitable for further application in electronic devices. Additionally, the dielectric properties were stable across the tested frequency range, and further research on biopolymer based biodegradable substrates is recommended for environmentally friendly electronics.
Walk the Line. Pascal on Meaning, Rules and Skepticism
Authors: Qian-Laurent Yoen ,   Zeta Books
Published: September 2024

The relation of Pascal’s philosophy to language is well-known. Pascal’s rhetorical considerations, his reflections on the language of “honnêteté”, and the analysis of definition in De l’Esprit géométrique have been the focus of many commentaries. But the epistemological interest of these texts remains undetermined, in the context of a more general reflection on the nature of meaning, truth, and language. In this article, I show how Pascal’s reflection is confronted with a particular challenge regarding the meaning of words. This problem can be restated with the help of the concept of rule and involves our ability to assess what it means to follow a rule. I trace Pascal’s evolution in the face of this problem, adopting successively a dogmatist position, a skeptical position and finally a position which I describe as both anthropological and pragmatist. This evolution demonstrates both the continuity and discursive progress of Pascal’s reflection on human knowledge from De l’Esprit géométrique to the Pensées.
«Miscuit cum eis» (s. 232,3)
Authors: D’Andrea Bruno N. ,   Order of Augustinian Recollects
Published: September 2024

The article presents the main aspects of the art of accompaniment inspired by the augustinian exegesis of Lk 24:13-35, not without resorting, when necessary, to other relevant texts of the Bishop of Hippo. For this purpose, after a brief introduction which shows the actuality of the theme in the ecclesial sphere, it is briefly presented how Augustine interprets the life of the human being based on the metaphor of the journey and the pilgrimage, and how he conceives them to be a time and a path of harmonious growth. This serves as a framework to offer Augustinian orientations for the art of accompaniment based on his interpretation of Lk 24:13-35. It is shown that Augustine has been little explored as a relevant figure for the Christian tradition of accompaniment.
Columbarios en bienes inmuebles eclesiásticos. ¿Cuál contrato es el adecuado en su ofrecimiento a los fieles?
Authors: Espinosa Pino Tonatiuh ,   Order of Augustinian Recollects
Published: September 2024

The construction and provision of niches in columbaria for the deposit of arid or cremated human remains has spread in the Catholic Church, even in areas that previously did not customarily incinerate the mortal remains of human beings and were It has become an alternative to “burial” in large cities because it is more economical than burial and in a certain sense more practical when remembering the deceased. As a pastoral answer to this practice, the Church has established canonical and liturgical norms that, added to the civil norms, allow these uses and the subsequent treatment of the ashes. In the civil sphere, this matter has remained in a legal “limbo” and that is the origin of the concern to determine the most appropriate contract for this contractual relationship between the faithful and the administrators of ecclesiastical real estate that offer a solution to an increasingly need.
Biosensors: Definition, Design, Development and Applications
Authors: Pandey Dr. Bhawana
Published: September 2024

Biosensors is an analytical devices that combine a biological component with a physicochemical detector to measure the presence of specific substance. These devices leverage the specificity of biological molecules,like enzymes, antibodies and nucleic acids, to detect specify analytes. The interaction between the biological component and the analyte generates a signal, typically electrical, optical, or thermal, then it is converted into a measurable output with the help of transducer.
Introduction to Free Radicals
Authors: Ruksaar Mrs. Saba
Published: September 2024

Free radicals are highly reactive molecules with unpaired electrons, generated naturally within the body during metabolic processes. These molecules, particularly reactive oxygen species (ROS), are byproducts of oxygen metabolism and can cause significant damage to cellular components if not properly managed. The production of free radicals occurs in cells primarily through processes such as mitochondrial respiration, immune responses, and environmental exposures like pollution and radiation. Free radicals are notorious for initiating damaging reactions in vital biomolecules. They can attack lipids, leading to lipid peroxidation, which compromises cell membrane integrity. Proteins can undergo oxidative modifications, resulting in loss of function and structural alterations. Carbohydrates may be oxidized, impacting energy metabolism and cellular communication. Nucleic acids are particularly vulnerable, with free radicals causing mutations and breaks in DNA strands, potentially leading to cancer and other genetic disorders. To combat these damaging effects, dietary fibers and complex carbohydrates serve as functional food ingredients with protective roles. These components not only promote gut health but also act as antioxidants, neutralizing free radicals and reducing oxidative stress. By incorporating these functional foods into the diet, individuals can enhance their defense against oxidative damage, supporting overall health and reducing the risk of chronic diseases linked to free radical damage
Development of Android-Based Interactive Learning Media on Nahwu Subjects in Class XI Madrasah Aliyah Ibnu Taimiyah Bogor
Authors: Budiarjo Anthon , Arief Zainal Abidin , Hartono Rudi
Published: September 2024

In Nahwu Class XI Madrasah Aliyah Ibnu Taimiyah Bogor in Chapter Khobar Muqoddam Mumtada' Muakhor, the study intends to: 1) ascertain the process for developing Android-based Interactive Learning Media; 2) ascertain the viability of developing Android-based Interactive Learning Media in Nahwu Class XI Madrasah Aliyah Ibnu Taimiyah Bogor in Chapter Khobar Muqoddam Mumtada' Muakhor; and 3) ascertain the efficacy of developing Android-based Interactive Learning Media in Nahwu Class XI Madrasah Aliyah Ibnu Taimiyah Bogor in Chapter Khobar Muqoddam Mumtada' Muakhor. This study employs the research and development methodology (Research and Development). The results of the hypothesis test indicate that there is a significant difference between the pretest and posttest data for nahwu learning outcomes, with a significance value of 0.000 <0.05.
The Effect of Cooperative Learning Model and Discipline on History Learning Achievement
Authors: Asmirna Nora , Riyanto  , Risdianto Eko
Published: September 2024

The study aims to ascertain three things: (1) the difference in learning achievement in history between students using the Jigsaw cooperative learning model and students using the Studen Teams Achievement Divisions (STAD) model; (2) the impact of high and low discipline on learning achievement; and (3) the possibility of an interaction between cooperative learning models and discipline on history learning achievement. This study employed experimental research as its research methodology. The 2023–2024 academic year saw the conducting of this study at SMAN 11 North Bengkulu and SMAN 13 North Bengkulu. The XI social studies classes made up the study's population. Two groups were chosen at random to serve as research samples: one was the treatment group, which I taught using Jigsaw-style instruction, and the other used Studen Teams Achievement Divisions (STAD) instruction. This study employed a 2x2 factorial ANOVA research design. The application of Jigsaw and Studen Teams Achievement Divisions (STAD) has an impact on student learning achievement. High and low discipline have an impact on history learning achievement. Cooperative learning models and discipline have an impact on history learning achievement. These are the study's findings.
α-Lipoic Acid Mitigates Heat Stress and Oxidative Damage in Broiler Chickens
Authors: Adum Aluor , Ademu Lawrence
Published: September 2024

Introduction: Heat stress has become a significant concern for the global poultry industry as a result of climate change. This condition can adversely affect growth, gut health, immune function, production levels, and reproductive performance, and can lead to lipid peroxidation in poultry. Therefore, this study aimed to evaluate Interleukin 6 and 10 immune responses, anti-oxidant indices, serum biochemistry, and hepatic and splenic histopathology of heat-stressed broiler chickens supplemented with α-lipoic acid (α-LA) in their diet.
Materials and methods: A total of two hundred and four unsexed day-old Arbor acre broiler chicks were randomly divided into four treatment groups and replicated three times to receive α-LA at 0, 50, 100, and 200 mg/kg, respectively in a completely randomized design for 42 days after a one-week adjustment period. The average temperature in the morning and afternoon was 27.9℃ and 35.1℃, respectively, while the morning and afternoon humidity was 73.1% and 44.1% respectively. Feed and water were provided ad libitum. At the end of the feeding trial, samples were taken for cytokines (interleukin-6 and 10), anti-oxidant, serum biochemistry, and hepatic and splenic histopathology analyses. 
Results: An inverse relationship was observed between pro-inflammatory (IL-6) and anti-inflammatory (IL-10) cytokines whereby, IL-6 levels decreased while IL-10 levels increased relative to increasing α-LA levels in treatment groups. The treatment groups also indicated an increasing trend with rising levels of α-LA for superoxide dismutase, catalase, glutathione, and total antioxidant capacity. The α-LA significantly influenced malondialdehyde production, showing its reduction with rising levels of α-LA. A decrease in serum glucose and low-density lipoproteins was observed with increasing levels of α-LA, while high-density lipoproteins increased with increasing levels of α-LA. Cholesterol, triglycerides, very low-density lipoproteins, aspartate transaminase, alanine transaminase, and alkaline phosphate remained unchanged across the treatment groups.
Conclusion: α-LA supplementation at 200mg/kg in diet had the highest effects on immune responses of interleukin 6 and 10, antioxidant, serum biochemical indices, and histopathology of heat-stressed broiler chickens.
Perceived Language Proficiency and Autonomous Motivation as Predictors to Perceived Communicative Competence in English
Authors: Ghasemi Afsaneh
Published: September 2024

Introduction: The current study, following a sequential mixed-methods design, mainly aimed at investigating the possible predictors of perceived communicative competence (PCC) in English in perceived language proficiency (PLP) and autonomous motivation to learn English.
Methodology: In doing so, 204 homogeneous university English-major students participated in this study based on convenience sampling, and a pool of six students joined the interview sessions based on purposive sampling. The Pearson product-moment correlation coefficient and the multiple regression were conducted to analyze the data.
Results: The results obtained from the Pearson product-moment correlation coefficient confirmed that there was a medium, positive correlation between PLP and PCC in English, and also between autonomous motivation to learn English and PCC in English. Moreover, it was found that PLP was the best predictor of PCC in English. Following inter-coder reliability, the commonalities emerged from the students’ responses to the interviews yielded seven common themes, entailing good sense, desire to learn, participation, engagement, disengagement, teacher support, and ability to communicate fluently.
Conclusion: The study yielded deeper insight into the effective role of factors, such as good sense, desire to learn, participation, and engagement in enriching their PLP and PCC. At the end, some practical implications are suggested for EFL learner and teachers.
EDUCAÇÃO AMBIENTAL: CONSIDERAÇÕES SOBRE O USO DO SOLO PARA DESCARTE DE RESÍDUO NO LIXÃO DA CIDADE DE TABATINGA/AM
Authors: Monteiro Elane
Published: September 2024

Vivemos num momento em que a Crise Ambiental só tem aumentado e as consequências em todos e são sentida na pele. O século XXI expõe uma triste realidade que a sociedade tem vivenciado, a qual diariamente tem modificado a vida e o cotidiano no meio ambiente em sua fauna e flora, o ar, o modo de vida e a saúde humana. O presente trabalho foi pensado após discussões sobre este tema e assim foi desenvolvido através do levantamento de informações a respeito do lixão do município de Tabatinga/AM, com o objetivo de identificar os problemas referentes ao descarte de lixo no meio urbano. Assim, como objetivos específicos: apresentar as diversas formas de degradação ambiental que o acumulo de lixo vem causando ao local; destacar os graves riscos à saúde que os lixões infligem as pessoas e descrever as consequências do lixão a céu aberto para o meio ambiente e a sociedade. Os levantamentos de dados e informações foram realizados em algumas etapas: foram realizadas algumas visitas para observar, coletar algumas informações sobre o lixão da cidade de Tabatinga/AM e os principais impactos causados no solo. As visitas também permitiram um diálogo aberto com alguns catadores que ficam neste local, momento que possibilitou perceber outros problemas sociais (desemprego, crianças analfabetas). Este trabalho focou os impactos negativos, dando maior destaque, no uso do solo em função da pressão crescente.
ANÁLISE DAS LEIS DE NEWTON ENFATIZANDO OS MODELOS MATEMÁTICOS UTILIZADOS
Authors: Lima Luciana
Published: September 2024

As dificuldades que se apresentam tanto na formação quanto na atualização dos conhecimentos dos alunos nas matérias de Matemática e Física é uma dificuldade que não só se enfrenta no Brasil, mais também na maioria dos países de todo o mundo. Frequentemente muitos alunos se perguntam o quão profundamente devem estudar Matemática para compreender melhor a Física. Na verdade, não existe uma noção de que há um limite de conhecimento matemático necessário, para se compreender melhor a Física. A Modelagem Matemática tem a sua fundamental importância para proporcionar a construção e manipulação de modelos dinâmicos qualitativos matematicamente, de modo que estes possam ser analisados de forma mais clara e concisa. O presente trabalho aqui descrito é resultado de pesquisas bibliográficas dentro de uma sequência didática, a partir de uma situação problema que permitiu a abordagem sobre o tema escolhido. Essa pesquisa foi feita com alunos, sendo utilizado também principalmente a internet, livros e trabalhos já feitos abordando o referido tema. Com o objetivo de desenvolver a criatividade, a habilidade e o pensamento logico dos alunos, a referida pesquisa se realizou com a turma do 9o ano do ensino fundamental, da Escola Estadual Marechal Rondon, do turno vespertino, numa amostra de 28 alunos, tendo o seu direcionamento na problemática em questão para assim encontrar falhas no ensino aprendizagem, para com isso poder levantar hipóteses para o melhoramento do mesmo. Embora o contexto em que se insere a Física seja outro, a Matemática é uma constante ferramenta de ajuda, sobretudo na resolução que culminam em modelos matemáticos. Dessa maneira, o cotidiano possibilita fornecer diversas situações para um trabalho dinâmico em modelagem matemática dentro de sala de aula, sobretudo pelo fato de que os alunos podem analisar e observar o mundo que os cerca e modelar os fenômenos físicos, implicando numa abordagem interdisciplinar entre Física e Matemática.