bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rheumatoid arthritis and pericardial effusion – a unique major manifestation
Authors: Cruz Isabel , Bragança Bruno , Lopes Rafaela , Santos Rui , Andrade Aurora 
Published: January 2024

Introduction: Pericardial effusion is common in the setting of rheumatoid arthritis (RA); however, it is rarely its first manifestation. Case description: An 82-year-old male presented with abdominal pain, vomiting and fever. Blood analysis revealed elevated systemic inflammatory markers, and an abdominal computed tomography scan revealed non-specific alveolar condensation of the right pulmonary base and pericardial effusion subsequently quantified as medium size by transthoracic echocardiography. A large aetiological panel was requested, with the autoimmunity study revealing high levels of rheumatoid factor (RF) and anti-citrullinated cyclic peptide (anti-CCP) antibodies. Since the patient did not present articular involvement, the initial hypothesis was pericardial effusion due to pneumonia and no specific treatment for RA was started. At follow-up, the pericardial effusion recurred and a pericardiocentesis was performed. The pericardial fluid analysis was sterile, and no malignant cells were identified. A new serological study confirmed high levels of RF and anti-CCP antibodies, and immunomodulatory treatment was initiated. After one year, the pericardial effusion recurred due to non-compliance with immunomodulatory therapy. A surgical pleuro-pericardial window was performed, and the cytological study of the pericardial patch revealed submesothelial thickening and foci of perivascular lymphocytic infiltrate. The patient remained asymptomatic. Discussion: After exclusion of a large spectrum of infectious and non-infectious causes and the relapse after suspension of immunomodulatory treatment, the most probable aetiology for the pericardial effusion remains RA. Conclusion: Pericardial syndromes can be the first manifestation of AR even in the absence of articular symptoms and this disease must be considered in the aetiological investigation.
Transponder-type laser interferometer prototype for spaceborne gravitational wave detectors
Authors: Mu Henglin , Xu Xin , Le Taoran , Tan Yidong , Wei Haoyun , Li Yan 
Published: January 2024

Transponder-type laser interferometry is essential in spaceborne gravitational wave detection missions. This paper presents a transponder-type laser interferometer prototype for potential noise calibration of spaceborne gravitational wave detectors. Using a digital optical phase-locked loop, we successfully locked the phase of the slave laser to the master laser (∼200pW). Once the link between the master laser and the slave laser is established, the two satellites (essentially two lasers) form a transponder-type laser interferometer. We carefully analyze the measurement stability and noise characteristics of the interferometer, and the results show that the Allan deviation of the zero drift can reach 243.2 pm at t=0.429s, while the noise spectral density has a typical 1/f line shape with a floor of 21pm/Hz1/2 at 1 Hz. The coherence analysis shows that the temperature drift is an important factor limiting the performance of the interferometer below 2 mHz, while the frequency noise of the master laser is not dominant in the experiment. Transponder-type laser interferometers have a wide range of applications in intersatellite communication and measurement. Our design can serve as a valuable reference for gravitational wave detection missions such as LISA.
Theory and experiment on the terahertz vibrational spectrum of ferulic acid
Authors: Chang Tianying , Liang Jie , Wei Dongshan , Cui Hong-Liang 
Published: January 2024

Ferulic acid (FA, C10H10O4), a type of hydroxycinnamic acid derivative, has beneficial pharmacological effects and biological activities and is known for its high application value in medicine, health care, and cosmetic products. The vibration spectrum of FA ranging from 0.3 THz to 2.0 THz has been investigated by terahertz time-domain spectroscopy. The characteristic absorption peaks located at 0.937, 1.159, 1.464, 1.694, and 1.910 THz are obtained experimentally. To understand the origin of the characteristic absorption peaks of FA, density functional theory calculations based on isolated molecule and crystalline structure are separately performed to differentiate the intramolecular and intermolecular vibrational modes. Combined analysis of the experimental and theoretical results informs that the characteristic absorption peak at 1.464 THz comes from intramolecular interaction, and the ones at 0.937, 1.159, 1.694, and 1.910 THz originate from intermolecular collective vibrational modes.
Development of a self-test for undergraduate chemistry students: how do students solve tasks on basic content knowledge?
Authors: Keller David , Hermanns Jolanda 
Published: January 2024

Abstract
In this paper we describe the development of a self-test on content knowledge as one element of a digital learning environment. The self-test on prior knowledge consists of tasks in the categories Periodic Table of Elements, chemical bonding, chemical formulas, and chemical reactions (reaction equations and reaction mechanisms). For the study, tasks from all topics have been used in a paper-pencil multiple-choice and multiple response test on the task at hand and an accompanying questionnaire with closed and open items. The results of the study show that the students rated the tasks as suitable. Comments for improving the tasks regarding the wording or the design were implemented. Because of students’ lack of understanding regarding some of the technical terms, a glossary and games will be added to the digital learning environment. Many students overestimated their knowledge and their competences, therefore the self-test in the learning environment will include feedback to ensure that the students can improve their content knowledge and its application.
New LMI constraint-based settling-time estimation for finite-time stability of fractional-order neural networks
Authors: Muthu Shafiya , Gnaneswaran Nagamani 
Published: January 2024

Abstract
This study aims to analyze the finite-time stability performance of both non-delayed and delayed fractional-order neural networks. Our primary aim is to investigate the finite-time stability characteristics by introducing a novel inequality designed for estimating the settling time. This fresh inequality serves as the foundation for establishing sufficient criteria, formulated as linear matrix inequalities, which guarantee the finite-time stability of both non-delayed and delayed fractional-order neural networks. Additionally, we underscore the importance of incorporating comprehensive information regarding the lower and upper bounds of the activation function, especially in the context of the proposed non-delayed model. Unlike the previous works, in this paper, the linear matrix inequality technique has been adopted towards the finite-time stability behavior of the proposed model. At last, some numerical examples are examined to validate the efficacy and conservatism of the presented approach and established theoretical results over the existing literature.
Challenging the clichés: How recent scholarship refreshes the interpretation of Adam Smith’s oeuvre
Authors: Horn Karen 
Published: January 2024

Abstract
Adam Smith was born 300 years ago, in June 1723. The son of a Scottish lawyer and customs commissioner grew to become a great Enlightenment thinker who gained global fame for his writings in moral philosophy and political economy. His second major work, the “Wealth of Nations” (1776), enabled economics to establish itself as a separate academic discipline. In numerous countries, the book had not only a theoretical but also a practical policy impact. Yet many distortions crept into the reception history of Smith’s oeuvre. For some years now, an interdisciplinary group of Smith scholars has taken on the received wisdom to challenge the clichés. In this survey written on the occasion of the Adam Smith tricentenary, Karen Horn presents some insights from recent Smith scholarship and shows just how inspiring and fruitful an engagement with the great Scot continues to be – even for economists, who are so far remarkably underrepresented in this activity.
Las concepciones crítico-alternativas de los derechos humanos: un espacio a la emancipación y la utopía
Authors: Chacón Mata Alfonso 
Published: January 2024

In this paper, we will discuss three positions that, from our perspective, represent critical-alternative conceptions of human rights. Specifically, in the context of critical theory, decolonialism, and legal pluralism, we will discover shared elements to consider their affinity in proposing spaces of vision intricately intertwined to struggle, the construction of viable alternatives, and, consequently, the consolidation of utopian horizons. The Latin American sociopolitical experience is pivotal to this conception that we undertake to review.
The Influence of Acid and Cooking Methods on The Quality of Fish Meal Processed from by-products of Catfish Fillet Processing
Authors: Suryaningrum Theresia Dwi , Ellya Ellya , Fateha Fateha , Setiawati Natalia Prodiana , Mardiyana Indri , Supriyanto Agus , Nurhayati Nurhayati , Giyatmi Giyatmi 
Published: January 2024

Catfish fillet processing produces a by-product dominated by heads (25- 28%) and bones (11-13%). This study aims to process fish meal from by- products of catfish using different treatments, namely soaking in a 4% formic acid solution (F) and a 4% hydrochloric acid solution (H), as well as cooking techniques involving boiling (R) and steaming (K). Observations were made on the yield, pH, proximate analysis, calcium content, NPN (non-protein nitrogen), TBA (thiobarbituric acid), microbiological tests, sensory evaluation, and amino acid profiles. The research showed that soaking in acid caused a decrease in pH, protein content, and TBA and increased the fat content of the resulting fish meal. The optimal treatment for the highest quality fish meal is steaming without acid treatment. In this treatment, the protein content meet the requirements of the SNI 01.2725.01.2013 as grade 3 fish meal, with a yield of 22.83%, a pH of 6.86, a moisture content of 6.2 ± 0.3%, an ash content of 27.33 ± 0.7%, and a protein content of 45.5 ± 1.3%. Analysis of the amino acid profile of fish meal from that treatment showed a better amino acid composition compared to commercial fish meal. The fish meal contained essential amino acids in sufficient quantities, with higher levels compared to the amino acid standards set by FAO/WHO 2013 for human nutritional needs, and met the requirements as a nutritional ingredient for fish and livestock feed.
Spatio-Seasonal Habitat Suitability Model of Anisakis spp. in Chub Mackerel (Scomber Japonicus) as a Scientific-Based Approach to Provide Safety Assessment Policy of Fisheries Product in Indonesia
Authors: Hidayah Izhamil , Sutomo Sutomo , Pujiono Eko , Saputra Muhammad Hadi , Humaida Nida , Januar Hedi Indra , Anggraeni Yusnita Mirna , Puspasari Herti Windya , Triwibowo Radestya , Rachmawati Novalia , Iswani Sri , Yennie Yusma , Santoso Agung 
Published: January 2024

The infestation of Anisakis spp. in Chub mackerel (Scomber japonicus) may have significant health and socioeconomic implications. Understanding the spatio-seasonal occurrence of Anisakis spp. in its host, S. japonicus, is crucial ecologically and for effective management. This research aimed to develop a predictive map (spatial-seasonal patterns) for Anisakis’s infestation in S. japonicus using the maximum entropy (MaxEnt) algorithm. Anisakis spp. and S. japonicus occurrences were obtained through a comprehensive Bibliographic analysis of the Scopus database (2017-2022) and the Ocean Biodiversity Information System (OBIS) database to collect the necessary data. Environmental predictors were sourced from the Global Marine Environment Data. The resulting model demonstrated a reliable performance, as indicated by an Area Under Curve (AUC) value on the Receiver Operating Characteristic (ROC) chart exceeding 0.8. The findings of this study revealed that the infestation of Anisakis spp. in S. japonicus is projected to be more prevalent during the fourth quarter of each year. Furthermore, the environmental factors influencing the infestation were identified as diffuse attenuation, water depth, and distance from the coast. These research outcomes can be a foundational reference for developing an effective control system for inspecting fresh or frozen fish within the quarantine department. By utilizing the spatial-seasonal patterns and environmental predictors identified in this study, authorities can implement targeted measures to prevent and mitigate the infestation of Anisakis spp. in S. japonicus, safeguarding public health and maintaining the quality of fish products.
Salinity Induced the Growth and Proximate Composition of Euglena sp., Local Strain from Dieng, Indonesia
Authors: Amelia Ria , Budiman Arief , Nugroho Andhika Puspito , Suyono Dr. Eko Agus 
Published: January 2024

AbstractHigh salinity is a challenging environmental stress for organisms to overcome. This study studied the effect of NaCl and KCl with various concentrations (0, 100 mM and 200 mM) for 13 days to explore the physiological, morphological and proximate composition of Euglena sp. Euglena sp. exhibited a significant decrease in growth rate, photosynthetic pigment, and increasing salinity. Meanwhile, the highest biomass, protein and carbohydrate content were found in KCl 100 mM with values; of 0.586 mg/mL, 0.050 μg/mL and 904.589 mg/mL, respectively. The highest lipid content was found in treatment with 200 mM NaCl with 0.42 mg/mL. Euglena sp. treated with salt type NaCl and KCl with a concentration of 200 mM showed an increase in SFA content but a decrease in PUFA content. PUFA content shows many variations of fatty acids. Still, the number of fatty acids like methyl linoleate and methyl linolenate does not exceed the limit of 12% (wt) of the European B100 biodiesel standard. It shows that the salt stress approach with salt type NaCl and KCl effectively increases biofuel production in Euglena sp. Therefore, Euglena sp. is suitable for high-salinity cultivation and biofuel production.
Deductive Thinking at the Preparatory stage Students.
Authors: Et. al. Yasmine M. Hamad, 
Published: January 2024

The aim of the current research is to identify the extent of possessing deductive thinking among middle school students, and the researchers chose the descriptive approach.
The sample consisted of (400) male and female students of the fourth scientific grade from (9) schools (preparatory and secondary) in the three directorates of al-Karkh education (first, second, and third) who were chosen by random stratification method, by (154) males and (246). Females.
The researchers prepared the research tool: the deductive reasoning test that consisted of (24) items. Second, the psychometric properties of the apparent and constructive validity and reliability were verified by the internal consistency method. The following statistical methods were used: (Chi-square, the equation of difficulty and ease, the discrimination equation, the T-test for one sample, the T-test for two independent samples, the point bilateral correlation coefficient, the Pearson correlation coefficient, the Keoder Richardson equation 20, the Alpha Cronbach equation. (Middle school students have a high degree of deductive reasoning.)
Algorithm For Nonlinear Transformations Of Local Contrasts
Authors: Et. al. D. T. Muhamadiyeva, 
Published: January 2024

Enhancing contrast is one of the important tasks of image processing, pattern recognition and machine vision. The solution to this problem directly related to an increase in the likelihood of correct image perception. The paper presents fuzzy methods for improving images, which based on nonlinear transformations of local contrasts, taking into account the peculiarities of human vision.
Feature Selection Based Enhancement Of The Accuracy Of Classificationalgorithms
Authors: Et. al. A. Adhiselvam, 
Published: January 2024

Feature selection is played vital role for classification algorithmsin the machine learning. In real time data mining process, irrelevant features which are available in the dataset may decrease the accuracy level of the classification algorithms. The selection ofthe appropriateand relevant features of the dataset in classification problems is the important role in data mining. The aim of the research work is to increase accuracy level of the classification algorithmsusing feature selection technique with different domain datasets.This paper also comparesaccuracy of different classification algorithms with and without feature selection method. The classification algorithms such as Bayesian Net, Naïve Bayes, Multi Layer Perception, logistic regression, J48 and Random Forestare used with feature selection methodusing different domain datasetssuch as Breast Cancer, Glass, Iris and Weather for comparison.This experiment is done with the help of Weka tool and datasetsin the machine learning repository. Feature selectiontechniques are effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy and improving result comprehensibility. However, the recent increase of dimensionality of data poses severe challenge to many existing feature selection techniques with respect to efficiency and effectiveness.
Deep Learning Strategy to Recognize Kannada Named Entities
Authors: Et. al. M. Pushpalatha, 
Published: January 2024

Entity representatives are useful in understanding the natural language tasks including the semantics of the Kannada sentences into various entities. In this paper, we have come up with new pertained tag based representative learning of words and entities based on the bidirectional parsing. The proposed research works on segmenting the sentences of Kannada words into various taken, where every token makes various contributions in understanding the semantics of Kannada Sentences which treats words and entities in a given text as independent tokens, and outputs tagged entities based on representative learning mechanism. The research also has focused its attention towards achieving the results of good classification accuracy while recognizing the entities are through the tagging mechanism that is an extension of the general self-tagging mechanism of the Supervised Machine Learning Technique, and considers the types of tokens (words or entities) when computing attention scores. The erected research work has given its significant contribution in terms of good results over a standard benchmark datasets. In particular, it obtains state-of-the-art results on five well-known datasets: Open Entity (entity typing), TACRED (relation classification), CoNLL-2003 (named entity recognition), ReCoRD (cloze-style question answering), and SQuAD 1.1 (extractive question answering) as well as Kannada Named Entity Recognition of Central Institute of Indian Languages.
New Stability Results of Multiplicative Inverse Quartic Functional Equations
Authors: Et. al. Beri V. Senthil Kumar, 
Published: January 2024

The purpose of this investigation is to introduce different forms of multiplicative inverse functional equations, to solve them and to establish the stability results of them in the framework of matrix normed spaces. A suitable counter-example is also provided to prove the instability of the results for a singular case. The applications of the equations dealt in this study are discussed with the fluid resistances of blood vessels and also an important concept in Raman spectroscopy.
2010 Mathematics Subject Classification. 39B82, 39B72.
Computational Analysis Of 2d Aerospike Nozzle With Base Bleed At Different Altitudes
Authors: Et. al. Santhosh Kumar, 
Published: January 2024

In the present-day scenario, several nozzles are being developed to achieve better efficiency. Among them, the aerospike is one such nozzle. The aerospike nozzles are yet to be utilized in the aerospace sector but are believed to exhibit better performance than the conventional bell-shaped nozzles that are currently in service. The geometry of the aerospike nozzle enables it to adjust to its environment by modifying its outer jet boundary thus, making it more efficient than the other types of nozzles.
Simple approximation method is used to get the coordinates of the nozzle contour using MATLAB. To compare the performance characteristics, both full and truncated spike nozzles were designed using SOLIDWORKS. In order to improve the performance of the truncated aerospike nozzles, they are provided with base bleeds. The flow behaviour was analysed using Computational Fluid Dynamics (CFD) software – ANSYS. These designs were simulated for different pressure outlet conditions, to compare the performance of full length, truncated spike with and without base bleed, at different altitudes.
Study of Mechanical properties of Sand extracted from Overburden of WCL Mines – the Effective Sustainable Sand Solution
Authors: Et. al. B.V.Bahoria, 
Published: January 2024

Ecological environment concerns are being raised against exploitation of natural resources. The lack of consensus are mostly related to preserve soil beds from erosion and the fact of having natural sand as a filter media for ground water. For a period of time, coal industry in India is facing shortage of river sand due to new mining laws and its increasing demand in infrastructure expansion. The present study concentrates on study of extraction of sand from the overburdens of opencast mines of Coal fields and its feasibility as a fine aggregate in concrete. The surcharge soil spread over in mines needs to be removed for separation of coal to an external dump till ample space is produced for back filling by obtaining of land nearby coal carrying area. Moreover surcharge waste needs to be managed at the time of closure of mine for land acquisition. In present project study of physical properties of extracted sand from overburden and natural sand from river bed is compared and effort is made to utilize the waste generated in tones into sustainable sand solution.
Consumers’ Willingness to Pay For Organic Beef In Cagayan Valley
Authors: Et. al. Imelda R. Lucero, 
Published: January 2024

This study on “Consumers’ willingness to pay for organic beef in Cagayan Valley region” aimed to analyze the consumers’ willingness to pay premium for organic beef in Isabela, Quirino, Nueva Vizcaya and Cagayan.
Data was obtained through “face to face” interview with 407 sample respondents using semi-structured questionnaire adopting “Contingent Valuation Methodology” (CVM) and subjected to multivariate Logistic Regression analysis. Descriptive statistics like arithmetic mean, standard deviation, percentages, and ranking were employed to describe the socio-economic characteristics of the respondents. Five level Likert Scale and the Chi-Square test were used to depict the consumers’ awareness of organic products and to measure the goodness of fit of the data, respectively.
Majority of the respondents were females, married, with an average age of 47.22, and belonged to household size of 4.7. The respondents were predominantly Roman Catholics, Ilocanos, and had attended formal school. Most of them were government employees earning Php20,000–Php24,999 per month and a quarter belonged to various categories of occupation.
Analysis of the consumers’ perception regarding conventional and organic beef in consideration of the given variables revealed that the perceived attributes are significant.
Given the price choice scenario, majority favored the minimum price of Php340/kg. The respondents are willing to pay premium for organic beef if they feel that the price is reasonable and that they get value for their money.
The most important attributes of organic products that have greater influence to consumers’ WTP premium for organic beef are price, quality, health factor, and use of synthetic chemicals.