bluuebunny/crossref_metadata_2025 huggingface dataset:
Sjögren’s Syndrome and Ankylosing Spondylitis Association: A Case-Based Review
Authors: Slouma Maroua , Mehmli Takwa , Hannech Emna , Dhahri Rim , Mejri Islam , Affes Meriem , Gharsallah Imen
Published: November 2024

Introduction:

Unlike restrictive pulmonary function and apical fibrobullous disease, diffuse
interstitial lung disease is scarce in patients with ankylosing spondylitis (AS). We present a
systematic review of the association between AS and SS. We also report a new case of SS revealed
by interstitial lung disease in AS patients treated with tumor necrosis factor (TNF) inhibitors.

Materials and methods:

The systematic review was performed according to the Preferred Reporting
Items for Systematic Reviews and Meta-Analyses guideline using the MEDLINE and SCOPUS
databases and included case reports and case series describing the association between AS
and SS.

Results:

There were sixty-three patients, including our case: 16 males and 47 females. The mean
age was 49.2 years. The mean SpA duration was 14.1 years. The mean delay between SpA and SS
was 12.8 years (0-27). SS was diagnosed after SpA in 62% of cases (n=39). It preceded SpA in
36.5% (n=23) and was concomitant with SpA in 1 case. All patients had sicca symptoms. MSGB
showed focal sialadenitis grade III or grade IV in the Chisholm classification in 20 patients. Anti-
nuclear antibody was positive in 75.8% of cases. Among them, anti-SSA and anti-SSB were positive
in 44.4% and 35.3% of cases. Except for our patient, no patient had interstitial lung disease.
SS extra glandular manifestations were reported in 12 cases.

Conclusion:

The occurrence of Sjögren’s syndrome is uncommon in patients with ankylosing
spondylitis. This association has been reported in the literature, suggesting a pathogenetic link between
these two diseases. This association should be considered in ankylosing spondylitis patients
with diffuse interstitial lung disease. Knowing this association is necessary for therapeutic adjustment.
Our study has some limitations. Publication bias was the major bias in our study. Indeed, we only
included case reports and case series describing the association between SpA and SS. We did not
search for unpublished work. Moreover, the follow-up was not specified in most included articles.
Amide Functionalized Novel Pyrrolo-pyrimidine Derivative as Anticancer Agents: Synthesis, Characterization and Molecular Docking Studies
Authors: Bandaru Praveen Kumar , Nidasanametla Satya Kameswara Rao , Shyamala Pulipaka
Published: November 2024

Background:

The development of new therapies targeting crucial kinases involved in cancer progression
is a promising area of research. Pyrazolo pyrimidine derivatives have emerged as potential candidates for
this purpose.

Objective:

This study aims to synthesize pyrazolo pyrimidine derivatives (5a-5r), evaluate their molecular docking
against key kinases, and assess their anticancer activity.

Methods:

The synthesis involved a multi-step procedure starting with the cyclization of 6-amino-2-
methylpyrimidin-4(3H)-one (1) to form 2-methyl-4,7-dihydro-3H-pyrrolo[2,3-d]pyrimidin-4-ol (2). This was
followed by chlorination to yield 4-chloro-2-methyl-4,7-dihydro-3H-pyrrolo[2,3-d]pyrimidine (3) and nucleophilic
substitution to produce 2-methyl-4,7-dihydro-3H-pyrrolo[2,3-d]pyrimidin-4-amine (4). The final derivatives
(5a-5r) were synthesized through amide bond formation with various carboxylic acids using DCC and
DMAP. Structural elucidation was confirmed via NMR, mass spectrometry, and HRMS. Molecular docking
studies were conducted against Janus kinase 1 (JAK1), Janus kinase 2 (JAK2), and cyclin-dependent kinase 4
(CDK4). Anticancer activity was evaluated against MCF-7, SET-2, and HCT-116 cell lines.

Results:

Structural elucidation confirmed the successful synthesis of the derivatives. Molecular docking studies
revealed promising binding affinities for selected derivatives, particularly those with heterocyclic substitutions.
Anticancer activity evaluation showed diverse potency profiles, with several derivatives demonstrating IC50
values comparable to the reference drug, doxorubicin. Derivatives featuring nitro and heterocyclic moieties exhibited
significant anticancer activity.

Conclusion:

The synthesized pyrazolo pyrimidine derivatives showed potential as lead compounds for further
development due to their promising binding affinities and significant anticancer activity, particularly those with
nitro and heterocyclic moieties.
Serum microRNA Biomarker Expression in HIV and TB: A Concise Overview
Authors: Kushwaha Shweta , Goel Anjana , Singh Ajay Vir
Published: November 2024

Non-coding RNAs (ncRNAs), specifically MicroRNAs or miRNAs, are now under-stood to be essential regulators in the complex field of gene expression. By selectively bind-ing to certain mRNA targets, these tiny RNA molecules control the expression of genes., leading to mRNA degradation or translational repression. The discovery of miRNAs has sig-nificantly advanced biomedical research, particularly in elucidating the molecular mecha-nisms underlying various diseases and exploring innovative therapeutic approaches. Recent progress in miRNA research has provided insights into their biogenesis, functional roles, and potential clinical applications. Despite the absence of established methodologies for clinical implementation, miRNAs show great promise as diagnostic and therapeutic agents for a wide array of diseases. Their distinctive attributes, such as high specificity, sensitivity, and accessibility, position them as ideal candidates for biomarker development and targeted therapy. Achieving a comprehensive understanding of miRNA biology and functionality is crucial to fully harnessing their potential in medicine. Ongoing research efforts aim to un-ravel the intricate mechanisms of miRNA-mediated gene regulation and to develop novel approaches for utilizing miRNAs in disease diagnosis, prognosis, and treatment. This review provides a comprehensive analysis of current knowledge on miRNAs, focusing on their bio-genesis, regulatory mechanisms, and potential clinical applications. By synthesizing existing evidence and highlighting key research findings, this review aims to inspire further explora-tion into the diverse roles of miRNAs in health and disease. Ultimately, this endeavour could result in the development of innovative miRNA-based diagnostic and therapeutic strategies.
New Insights into Colorectal Cancer through the Lens of Precision Oncology and Personalized Medicine: Multi-Omics Helps Aging of Predisposed People
Authors: Bayat Amir , Sharafshah Alireza , Sefat Farshid , Rahimzadegan Milad , Raad Mohammad , Lewandrowski Kai-Uwe
Published: November 2024

Background:

Recently, there has been a significant evolution in our understanding of
the molecular pathways causing the genesis and progression of cancer via the inter-individual
variations. Thus, one-size-fits-all methods for cancer treatment have been replaced by precision
oncology (PO) targeting individual cancer symptoms, offering increased effectiveness, and decreased
safety concerns and cost load.

Objective:

The identification of novel actionable indications, rapid, precise, and comprehensive
detection of complex phenotypes in every individual, pioneering clinical trial projects with enhanced
response feedback, and widespread availability of innovative targeted anticancer management
for every patient are vital for the effective implementation of next-generation precision
oncology. Additionally, the emergence of precision medicine has altered the perspective of oncologic
biomarkers, drug discovery, drug development, and, improvements for cancer patients.

Method:

This paper narratively reviewed to identify actionable abnormalities, Genomic profiling
of tumors employing clinical next-generation sequencing (NGS) from both tumor tissues and
liquid biopsies along with the multi-omics strategies as the key component of PO.

Results:

Our increasing information on tumor biology, specifically microenvironment and heterogeneity-
associated data, would improve our understanding of the resistance of targeted drugs
and specific mechanisms of action, as well as help enhance existing metastatic colorectal cancer
(mCRC) treatment strategies.

Conclusion:

Collectively, this paper indicated the current and innovative strategies for prognosis,
diagnosis, and treatment of various cancer types based on PO overview with a groundbreaking
emphasis on CRC suggesting the integrations of multi-omics, highlighting Genomics, and
utilizing AL and ML algorithms with targeted therapies. Notably, these findings can help improve
the life-span and ageing of the predisposed people.
Readiness for Southern Africa to Employ Forensic Investigative Genetic Genealogy
Authors: Smith Johannes , Horne Juanida
Published: November 2024

Background:

Forensic investigative genetic genealogy (FIGG) has garnered significant
interest in solving cold criminal casework and has proven to be the solution to numerous
unidentified human remains (UHR). Forensic samples can be subjected to a private genomic
database where whole-genome sequencing (WGS) technique to retrieve genome-wide singlenucleotide
polymorphism (SNP) genotype data is performed. After conducting bioinformatics
analysis, the data can be compared with the data of other users on the genomic database to identify
distant relatives.

Objective:

The article aims to explore FIGG in investigating criminal casework and identifying
human remains. Moreover, it aims to create awareness among Southern Africans and advocate
for a comprehensive approach involving all key stakeholders and practitioners to ensure the ethical
and privacy-conscious establishment of FIGG, with a particular focus on Southern Africa.

Method:

The study employed a qualitative technique, including a literature scan on FIGG. Interviews
were done with various stakeholders, including SAPS detectives, forensic examiners, and
overseas specialists.

Results:

FIGG is gaining popularity in many countries as a supplement to existing investigative
tools. It is labour-intensive and requires increased participation of Southern Africans in private
genetic genealogy databases. Specific resources and dedication are required before FIGG can be
successfully implemented in the region as a routine investigative tool to solve cold cases and
identify unidentified human remains.

Conclusion:

Implementing FIGG in the Southern African region is not imminent but may be
considered.
Combining a Risk Factor Score Designed From Electronic Health Records With a Digital Cytology Image Scoring System to Improve Bladder Cancer Detection: Proof-of-Concept Study
Authors: Cabon Sandie , Brihi Sarra , Fezzani Riadh , Pierre-Jean Morgane , Cuggia Marc , Bouzillé Guillaume
Published: November 2024

Background

To reduce the mortality related to bladder cancer, efforts need to be concentrated on early detection of the disease for more effective therapeutic intervention. Strong risk factors (eg, smoking status, age, professional exposure) have been identified, and some diagnostic tools (eg, by way of cystoscopy) have been proposed. However, to date, no fully satisfactory (noninvasive, inexpensive, high-performance) solution for widespread deployment has been proposed. Some new models based on cytology image classification were recently developed and bring good perspectives, but there are still avenues to explore to improve their performance.

Objective

Our team aimed to evaluate the benefit of combining the reuse of massive clinical data to build a risk factor model and a digital cytology image–based model (VisioCyt) for bladder cancer detection.

Methods

The first step relied on designing a predictive model based on clinical data (ie, risk factors identified in the literature) extracted from the clinical data warehouse of the Rennes Hospital and machine learning algorithms (logistic regression, random forest, and support vector machine). It provides a score corresponding to the risk of developing bladder cancer based on the patient’s clinical profile. Second, we investigated 3 strategies (logistic regression, decision tree, and a custom strategy based on score interpretation) to combine the model’s score with the score from an image-based model to produce a robust bladder cancer scoring system.

Results

We collected 2 data sets. The first set, including clinical data for 5422 patients extracted from the clinical data warehouse, was used to design the risk factor–based model. The second set was used to measure the models’ performances and was composed of data for 620 patients from a clinical trial for which cytology images and clinicobiological features were collected. With this second data set, the combination of both models obtained areas under the curve of 0.82 on the training set and 0.83 on the test set, demonstrating the value of combining risk factor–based and image-based models. This combination offers a higher associated risk of cancer than VisioCyt alone for all classes, especially for low-grade bladder cancer.

Conclusions

These results demonstrate the value of combining clinical and biological information, especially to improve detection of low-grade bladder cancer. Some improvements will need to be made to the automatic extraction of clinical features to make the risk factor–based model more robust. However, as of now, the results support the assumption that this type of approach will be of benefit to patients.
The Application of the Rabin-Karp Algorithm with the Synonym Recognition Approach to Detect Plagiarism in Student Assignments
Authors: Handayani Irma , Waluyo Anita Fira
Published: November 2024

Kemajuan teknologi yang pesat telah mempermudah segala hal, termasuk dalam bidang pendidikan. Namun, kecanggihan tersebut juga mengakibatkan penyalahgunaan teknologi, terutama dalam hal duplikasi atau plagiarisme. Masalah ini tidak hanya terjadi pada tugas esai tetapi juga pada kode program. Untuk mengatasi hal tersebut, telah dilakukan penelitian untuk mendeteksi plagiarisme pada tugas mahasiswa dengan menggunakan metode Rabin-Karp dan pendekatan Synonym Recognition. Penelitian ini menemukan bahwa tingkat kesamaan terkecil adalah 20%, sedangkan yang terbesar adalah 76%. Penelitian ini bertujuan untuk memberikan solusi yang cepat dan akurat untuk mencegah maraknya aktivitas plagiarisme di bidang akademik.
Smart Product Recommendations in Web E-Commerce: Leveraging Apriori Algorithm for Market Basket Analysis
Authors: Hendra Hendra , Hermawan Aditiya , Edy Edy
Published: November 2024

The world of online commerce is becoming increasingly competitive, and to succeed in this field, it is not enough to showcase products to potential buyers. It is crucial to offer various products and keep product recommendations up-to-date, especially for customers who buy multiple items. To address this challenge, an intelligent system is needed that can automatically generate trending product recommendations based on sales data. In this research, the Market Basket Analysis (MBA) method analyzes consumer transaction data and identifies products often purchased together. The apriori algorithm is applied to generate association rules, and the Lift Ratio parameter is used to evaluate the strength of these rules. This research is implemented on an e-commerce website, and the generated association rules will be applied to provide automatic product recommendations based on recent sales trends. The results show that the automatic product recommendation system developed for the e-commerce website significantly helps users enhance their online shopping experience. Using the Lift Ratio parameter in validating association rules provides strong evidence of the relevance and accuracy of the generated product recommendations, which can increase customer satisfaction and sales potential.
Analysis and Prediction of the Occurrence of an Earthquake Using ARIMA and Statistical Tests
Authors: Kumoro Rabbani Nur , Fattima Audrey Shafira , Susatyo William Hilmy , Fudholi Dzikri Rahadian
Published: November 2024

Earthquakes present significant risks to both human safety and infrastructure, emphasizing the need for precise prediction models to minimize their adverse effects. This study seeks to tackle the challenge of accurately forecasting the occurrence time of earthquakes by utilizing the LANL Earthquake dataset, which comprises seismic signals from a laboratory model emulating tectonic faults. In this study, we employed the ARIMA model and compared it with Linear Regression to predict earthquake occurrences. Our findings demonstrate that the ARIMA (1,1,1) model surpasses other models, achieving the lowest MAE of 0.110628. The validity of the model's assumptions is confirmed through the Ljung-Box and Jarque-Bera tests, which verify the absence of autocorrelation and the normal distribution of residuals, respectively.
HOSPITAL MANAGEMENT INFORMATION SYSTEM EVALUATION AT GRHA PERMATA IBU DEPOK
Authors: Yanti Layli Hardi , Umniati Naeli
Published: November 2024

The GRHA Permata Ibu Hospital in Depok has been implementing the Hospital Management Information System (HMIS) since 2013 to support all hospital service processes. An evaluation of the HMIS is necessary to understand the actual state of the information system implementation. The objective is to examine and assess the HMIS at GRHA Permata Ibu Hospital to achieve results that are comparable using specific benchmarks. The goal is to obtain performance outcomes that support better, effective, and efficient services, and to identify the system's current condition for further action planning to improve its performance. The research follows a quantitative method with an online survey approach using Google Forms. The HOT-Fit evaluation model is used to assess the readiness level for utilizing an information system, focusing on the crucial components of Human, Organization, Technology, and Net Benefits. The study's results reveal that out of the 13 developed hypotheses, 6 hypotheses were accepted, while 7 hypotheses were rejected. Therefore, the research proves that not all proposed hypotheses are empirically supported. Based on the test results, several recommendations are provided to enhance the success rate of the HMIS implementation at GRHA Permata Ibu Hospital in Depok.
Optimal Feature Selection in Diabetes Classification Using the MLP Algorithm
Authors: Jogo Samodro Maulana Muhamammad , Biddinika Muhammad Kunta , Fadlil Abdul
Published: November 2024

In 2021, approximately 531 million people worldwide were affected by diabetes, with 90% diagnosed as type 2. Diabetes often coexists as a comorbidity with other conditions such as kidney and heart disease. The research aims to employ machine learning for diabetes classification, with the Multilayer Perceptron (MLP) algorithm being a key component in the early detection process. The experiments utilized data from the UCI database of Sylhet hospitals, featuring 16 attributes and 2 classes indicating positive and negative diabetes cases. Performance testing using the MLP algorithm involved varying the number of neurons in the hidden layer. The research architecture is denoted as n:p:m, where n represents 16 neurons based on the attributes, m signifies 2 neurons based on the number of classes, and p undergoes variations. The machine learning tool employed in this research is Weka. Within the Weka tool, MLP offers types of hidden layer neuron configurations: 'a', 't', 'i', and 'o'. The test results, conducted with 520 training data and testing on the same dataset, yielded accuracies of 98.85%, 98.85%, 99.42%, and 98.46% for types 'a', 't', 'i', and 'o', respectively.
Measurement and Analysis of Detecting Fish Freshness Levels Using Deep Learning Method
Authors: Anas Dhea Fajriati , Jaya Indra , Herdiyeni Yeni
Published: November 2024

Subjective and objective tests used to determine the fish deterioration process require specialized skills and time, making them inefficient for use by the general public in markets. The quality of fish products in markets is not always guaranteed, so consumers must determine their suitability. Deep learning can be used to analyze images and automatically and accurately detect the freshness of fish. This study aims to evaluate the efficiency of deep learning models in detecting fish freshness and implementing them into an Android application for public use. "Image datasets and pH tests were collected as references for the postmortem phase over a 24-hour period, with hourly checks on three fish species (Rachycentron canadum, Trachinotus blochi, and Lates calcarifer). Data were classified into three classes, pre-rigor/fresh, rigor mortis/semi-fresh, and post-rigor/not fresh. The dataset was divided using the 10-fold cross-validation method and analyzed using YOLOv5 and Faster R-CNN algorithms. The study results showed that YOLOv5 had higher average values for each metric compared to Faster R-CNN. Dataset 8 in YOLOv5 showed precision of 99.4%, recall of 98.1%, f1-score of 98.7%, accuracy of 99.3%, and mAP of 99.3%. The YOLOv5 model for dataset 8 was selected for implementation in the Android application due to its high metric values. This application effectively provides information on fish freshness detection and confidence scores.
APPLICATION OF DATA MINING USING THE C4.5 ALGORITHM AND THE K-NEAREST NEIGHBOR (KNN)
Authors: Nurmayanti Nurmayanti , Supriyanto Supriyanto , Parida Merri , Sartika Sartika
Published: November 2024

Direct cash assistance is a governmental or social institution intervention that provides financial aid directly to individuals or families in need. To streamline this process, a system is necessary to convert data into predictive information regarding eligibility for direct cash assistance. This research utilizes the C4.5 algorithm and the K-Nearest Neighbor algorithm for predicting eligibility based on factors such as housing status, employment, income, and eligibility status. Using the C4.5 algorithm, Microsoft Excel calculations identified 238 individuals as eligible and predicted 62 as ineligible who were eligible, out of a total of 300 recipients. The accuracy rate from RapidMiner calculations was 93.00%. Regarding the K-Nearest Neighbor method, Microsoft Excel calculations identified 226 eligible and 74 ineligible recipients out of 300. RapidMiner analysis showed an accuracy rate of 76.55% for the 226 eligible recipients and 98.23% for the 74 ineligible recipients.
A Review of Researches on English for Specific Purposes and the Implications for Its Development in China
Authors: Chen Meisong , Zhao Xia , Zhang Jiegen
Published: November 2024

This paper provides a comprehensive review of English for Specific Purposes research, comparing the characteristics and trends of both international and Chinese studies. Drawing on a selection of papers from English for Specific Journal, the internationally leading ESP journal, and Chinese Social Sciences Citation Index (CSSCI) publications, the analysis reveals several key findings. Internationally, ESP research is characterized by a focus on the use of English as a lingua franca, the development and application of English for Academic Purposes (EAP), and English for Occupational Purposes (EOP). Studies delve into the complexities of language use across diverse fields, examining the impact of cultural differences, communication challenges, and the evolving nature of ESP teaching and learning. In China, ESP research has evolved to emphasize the need for localized approaches tailored to the country’s specific educational context. There is a clearer orientation in EAP and EOP related studies, and a rapid development of studies on classroom teaching. Research in China also highlights the role of information technology in transforming ESP teaching, with a growing emphasis on the integration of digital tools and platforms. The paper identifies several implications for ESP research in China. Firstly, there is a need for greater investment in research, both in terms of quantity and quality, to address the increasing demand for ESP expertise. Secondly, Chinese scholars should continue to explore teaching and research models that are contextually relevant, particularly in the context of the “Belt and Road” initiative. Thirdly, greater engagement with the international academic community is crucial for promoting Chinese perspectives and contributing to global ESP discourse. Finally, research methods should be enhanced, with a greater emphasis on empirical studies and the use of quantitative and qualitative approaches.
Fitzgerald’s Inheritance of Keats and His Writing on the Reality of America
Authors: Xinyu ZHU , Dan CUI
Published: November 2024

This paper probes into F. Scott Fitzgerald’s inheritance and transcendence of the artistic heritage of 19th century British romantic poet John Keats in his literary creation, especially focusing on Fitzgerald’s absorption and innovation of Keats’s literary elements in Tender is the Night and The Great Gatsby. By comparing and analyzing the similarities and differences between the two literary giants in nature depiction, aesthetic pursuit, chivalry reproduction and social reality criticism, this paper reveals how Fitzgerald inherited Keats’s romantic feelings and artistic expression techniques, combined with the unique social background of the “Jazz Age” in the United States in the 20th century to achieve a profound insight and unique expression of American reality writing. In nature depiction, Keats, with his delicate emotion and rich imagination, integrates natural elements into his poems to create a unique atmosphere. Fitzgerald also uses this technique, but his depiction of nature is more complex and multidimensional, which not only shows the beauty of nature, but also profoundly reflects the changes in the inner world of the characters and the hypocrisy of social reality. In aesthetic pursuit, Fitzgerald inherited Keats’s persistent pursuit of beauty and transformed it into the emotion and behavioral motivation of the characters in the novel. On the reappearance of chivalry, Fitzgerald reconstructed and criticized the knight image in Keats’s works. Finally, in the aspect of social reality criticism, Fitzgerald analyzed materialism and consumerism in capitalist society more directly and profoundly than Keats. Through Tender Is the Night and The Great Gatsby, Fitzgerald exposed the social impetuosity and moral decay behind the economic prosperity of the “Jazz Age” in the United States in the 1920s, and criticized the social phenomenon of materialism and spiritual emptiness. This kind of profound realistic criticism not only surpasses Keats’s obscure social satire, but also provides valuable ideological resources for later literature. To sum up, this paper holds that while inheriting the literary tradition of Keats, Fitzgerald, with his keen insight and unique artistic talent, successfully realized the innovation and transcendence of American reality writing, and contributed a series of landmark works to American literature and even world literature.
El perfil emprendedor en la región de Coquimbo
Authors: Soria-Barreto Karla
Published: November 2024

El Banco Interamericano de Desarrollo realizó un estudio sobre el proceso de creación y desarrollo de empresas dinámicas en América latina y Este de Asia, enfocando la investigación a los factores claves que inciden sobre la conducta de los fundadores y de las empresas dinámicas durante las fases de desarrollo de dicho proceso: gestación del proyecto, puesta en marcha y desarrollo inicial de la empresa. La investigación se llevó a cabo sobre alrededor de 700 empresas de Argentina, Brasil, Perú, México y Costa Rica en América latina y otras 600 empresas en Japón, Taiwán, Corea y Singapur en Asia. Entre los aspectos comunes que se encontró fue posible destacar que la experiencia laboral, las competencias empresariales y las redes personales de los emprendedores se convierten en los factores que originan una idea de negocio. El sistema educativo desempeña un papel mucho más limitado, destacándose el aporte de la universidad en la adquisición de conocimiento técnico.
X-RAY ANALYSIS OF SEYFERT 1 GALAXIES WITH OPTICAL POLARIZATION: A TEST FOR UNIFICATION MODELS
Authors: Gudiño M. , Jiménez-Bailón E. , Longinotti A. L. , Guainazzi M. , Cerviño M. , Robleto-Orús A. C.
Published: November 2024

In accordance with the AGN Unified Model, observed polarization can be related to the orientation of the line of sight with respect to the torus. AGN X-ray emission arises from the central region and carries the imprints of the obscuring material. We aim to test a unified scheme based on optical polarization using X-ray absorption. Using the XMM-Newton data of 19, optically polarized Seyfert 1 sources, we develop a systematic analysis by fitting a baseline model to test the presence of X-ray neutral or ionized (warm) absorption. We find that 100% of the polar-polarized sources show the presence of absorption, with 70% favoring the presence of a warm absorber. In contrast, the equatorial-polarized sources show a fraction of absorbed spectra of 75%, with only 50% consistent with the presence of a warm absorber.
RADIO PROPER MOTIONS AND A SEARCH FOR THE ORIGIN OF PSR B1849+00
Authors: Rodríguez L. F. , Dzib S. A. , Zapata L. A. , Loinard L.
Published: November 2024

Until now it has not been possible to obtain the proper motion of PSR B1849+00 with timing techniques or VLBI imaging, given the enhanced interstellar scattering along its line of sight. We present an analysis of archive Very Large Array observations at epochs from 2012 to 2022 that indicates a total proper motion of 23.9±5.5 mas yr-1 toward the southwest. After correction for the proper motions produced by galactic rotation, we find a peculiar transverse velocity of ≃740 km s-1. We searched unsuccessfully along the past trajectory of the pulsar for an associated supernova remnant. In particular, W44 is in this trajectory but its distance is different from that of PSR B1849+00.
Linking Road to Logistic Progress in Kerala: An Analysis of the Influence of National Highway Development on Supply Chain and Logistics
Authors: Praveen Dr. MV. , Salim KC. Muhammed , Aghilesh M.
Published: November 2024

Abstract: This paper examines the effects of national highways developmental schemes toward logistics and supply chain management in Kerala. As seen in the geographical structure and economy dependency on transportation channels in the case of Kerala the establishment of high-standard highways plays an important role in efficiency in the logistics activities. Therefore, this study adopted secondary data from government bodies and industry publications to assess how current advancements in highways, including the extension of the National Highway 66, affects transit time, logistics cost and general supply chain performance on various products. The results indicate a rapid and consistent increase in transportation time, and decrease in the cost and delivery reliability thus promoting Kerala’s economic development. From these outcomes it is clear that additional investments in physical capital are still necessary to sustain a favourable transport logistics position.
A FLEXIBILIDADE PSICOLÓGICA E A DIFICULDADE NA REGULAÇÃO EMOCIONAL EM ESTUDANTES UNIVERSITÁRIOS DA PARAÍBA
Authors: Cipriano João Pedro dos Santos , Ferreira Olívia Dayse Leite , Medeiros Rafhael Barros , Ferreira Maria Denise Leite , Vieira Kay Francis Leal
Published: November 2024

The present study aimed to evaluate the association between measures of psychological flexibility and emotional deregulation in university students from the State of Paraíba. A cross-sectional, quantitative, descriptive field study was conducted, applied online, through a form generated by Google Forms. The data were analyzed using SPSS software (version 21.0), with Pearson's correlational analysis, Student's t-test and descriptive statistics of the means. The instruments used were the AAQ-II, the Emotional Regulation Difficulty Scale (DERS), and a sociodemographic questionnaire. The sample consisted of 288 participants, of both genders with a mean age of 25.4 years. The results showed that the students presented moderate levels for both Psychological Flexibility factor and Emotional Regulation, moreover, strong and positive correlations were observed between Psychological Inflexibility and Difficulty in Emotional Regulation, indicating the possibility of functionality of such transdiagnostic mechanisms in the maintenance of psychological distress. The group that reported having a psychiatric diagnosis showed higher scores on the measures of inflexibility and emotion dysregulation. Therefore, the relevance of strategies to maintain psychological flexibility and emotion regulation in the mental health of college students from Paraiba is perceived.
Limites que se empujan. La epopeya del migrante
Authors: Morales Quiñonez Antonio , Valido Tejeiro Víctor Manuel
Published: November 2024

Al migrar cargamos con la nación, la cultura y el pasado, el migrante hace uso de sus conocimientos para intentar integrarse a las sociedades de acogida, pero se ve obligado a reaprender lo elemental, en su búsqueda de la tierra prometida es forzado a transitar por el inframundo y sortear pruebas, estos obstáculos no existirían si no hubiera un encuentro con el otro, pues es el nativo quien pone las reglas de su territorio.
Destellos del pasado: Un análisis del concepto Merleau-Pontiano de animalidad a través del caso de las máscaras originarias de los Inuit
Authors: Pérez Gamboa María Soledad
Published: November 2024

El presente trabajo pretende explorar el tratamiento de la cuestión animal tal y como se presenta en dos obras tardías de Maurice Merleau-Ponty, específicamente en La Nature Notes. Course du Collège de France (1995), y Le visible et l' invisible. Suivi de notes de travail (1964). Dado que en su obra tardía asistimos a una restitución ontológica de la vida sensible, observamos tanto un desplazamiento de la temporalidad desde un plano existencial hacia una concepción más plenamente ontológica, como un replanteo de la cuestión animal en términos de una relación de entrelazamiento humano-animal, tendiente a integrar y superar el tratamiento llevado a cabo por el autor desde La Structure du Comportement  publicado en 1942. En el marco de este análisis, la idea de una temporalidad quiásmica alcanza inevitablemente a la concepción de animalidad. Intentaremos elucidar este alcance tomando como punto de partida la referencia merleau-pontiana a las máscaras Inuit en N: la máscara, es al mismo tiempo testimonio de nuestra humanidad con su anverso animal y signo de un pasado vertical. En este sentido el ejemplo nos servirá de guía para comprender que ese reverso es al mismo tiempo presente y pasado, la máscara testimonio de lo que somos y de lo nunca hemos dejado de ser; testimonio de lo invisible en lo visible y expresión de una cierta dimensión mítica.
Teoría social e intervención construccionista. La reconstrucción social de mujeres cuidadoras de niños con discapacidad
Authors: Bruno Fernando , Ramírez Salazar Víctor
Published: November 2024

La revisión de la literatura permitió construir una problemática sobre la incorporación de los roles de cuidadoras de niños con discapacidad y la vivencia en soledad de una función socialmente no valorizada. Aunque la temática había sido abordada, generar un espacio de reflexión e intervención durante la investigación, resulto novedoso.
Esta investigación tuvo el objetivo de realizar un aporte al campo de las ciencias sociales desde el construccionismo social y un modelo de intervención generado a partir de las narrativas de mujeres cuidadoras de niños con discapacidad.
A partir de la naturaleza cualitativa de nuestra indagación, tomamos el método de grupos de discusión, como herramienta para recabar información y al mismo tiempo, generar el espacio para trabajar las narrativas por medio de un modelo de intervención social.
En este contexto, el trabajo colaborativo que se planteó logró la deconstrucción de los discursos impactando en la reinterpretación de la experiencia, así como en la reconstrucción los roles de las mujeres. En conjunto, espacio generado y el modelo diseñado, potenció la cohesión del grupo a partir de vivencias comunes que guiaron un aprendizaje valioso, valorizando sus funciones y generando herramientas para afrontar la cotidianeidad en mejores condiciones de vida.
Por lo tanto, la fase de investigación y la intervención consecuente resultaron adecuadas para realizar el cambio con mujeres cuidadoras de niños con discapacidad. El modelo de intervención a partir del construccionismo social impactó en el desarrollo de su entendimiento, abriendo esquemas grupales para la solución de un problema social.
¿Para qué noción de ser humano comunicamos? Análisis y discusión del Plan de Estudios de la Licenciatura en Comunicación Audiovisual de la UNPA UACO
Authors: KSYBALA Nadia , PÉREZ TORO Facundo
Published: November 2024

El presente escrito se desprende de la investigación que se lleva adelante para la obtención del título de grado de la Licenciatura en Comunicación Audiovisual que se dicta en la Unidad Académica Caleta Olivia de la Universidad Nacional de la Patagonia Austral. Se parte de la suposición de que la accesibilidad comunicacional se encuentra condicionada por una mirada capacitista, a la luz de los hallazgos preliminares del trabajo de campo realizado, en un proceso que busca analizar la formación del estudiantado de la Licenciatura en Comunicación Audiovisual perteneciente a la oferta académica que brinda la sede referida en herramientas que propicien dicha accesibilidad comunicacional. Sostenida en las perspectivas teóricas más cercanas al llamado modelo social respecto de la definición de discapacidad y en el desplazamiento epistemológico acaecido en el campo de la comunicación en favor de la apropiación y recreación de los discursos, esta investigación privilegia un enfoque cualitativo. Así, mediante la interpretación y comprensión hermenéutica se busca poner en tensión la normativa existente en materia de equiparación de oportunidades y derechos humanos presentes en el Programa Integral de Accesibilidad Académica en las Universidades Públicas al que la casa de altos estudios adhiere, la Convención Internacional sobre los Derechos de las Personas con Discapacidad y la Ley N°26.522 de Servicios de Comunicación Audiovisual, y la letra presente en la Fundamentación de la Creación y el Plan de Estudios de la mencionada carrera, a los fines de desentramar las razones que subyacen a la aparente vacancia en materia de accesibilidad comunicacional.
Phase-space negativity as a computational resource for quantum kernel methods
Authors: Chabaud Ulysse , Ghobadi Roohollah , Beigi Salman , Rahimi-Keshari Saleh
Published: November 2024

Quantum kernel methods are a proposal for achieving quantum computational advantage in machine learning. They are based on a hybrid classical-quantum computation where a function called the quantum kernel is estimated by a quantum device while the rest of computation is performed classically. Quantum advantages may be achieved through this method only if the quantum kernel function cannot be estimated efficiently on a classical computer. In this paper, we provide sufficient conditions for the efficient classical estimation of quantum kernel functions for bosonic systems. These conditions are based on phase-space properties of data-encoding quantum states associated with the quantum kernels: negative volume, non-classical depth, and excess range, which are shown to be three signatures of phase-space negativity. We consider quantum optical examples involving linear-optical networks with and without adaptive non-Gaussian measurements, and investigate the effects of loss on the efficiency of the classical simulation. Our results underpin the role of the negativity in phase-space quasi-probability distributions as an essential resource in quantum machine learning based on kernel methods.
Dynamics of Primary School Pupils’ Orientation to Moral Growth: A Longitudinal Study
Authors:   University of Latvia, Scientific Institute of Pedagogy, Faculty of Education Sciences and Psychology, Fernández González Manuel Joaquín , Surikova Svetlana , Balandīna Beāte
Published: November 2024

This article presents the dynamics of primary school pupils’ orientation to moral growth in Latvia between 2022 and 2023. Within a longitudinal study, in spring 2022, 518 pupils in grade 2 participated in the 1st measurement in all regions of Latvia. A repeated measure was done in spring 2023 with 451 pupils in grade 3. This study used a questionnaire consisting of 25 scale items, organized into four sections related to the key components of the moral growth process: (A) understanding (cognitive-emotional perception of the moral character development process); (B) purposefulness (voluntarily and consciously committing to moral growth); (C) moral crafting (engaging practically in moral growth activities); and (D) moral identity (experiencing joy and support throughout the process of moral development). Quantitative data were analysed to identify the differences between both measurements. The component “Understanding of the moral growth process” had the highest scores, while the lowest scores were related to the component “pupils’ moral identity”. Comparing the two measurements, a positive (increasing) dynamic was observed in pupils’ rating of their understanding of moral character development (component A) and of their involvement in moral crafting (component C). On the other hand, slightly negative trends were observed in the indicators “Purposefulness” and “Moral identity” of moral growth, which could indicate a certain instability in pupils’ perception of their commitment to moral development, alongside a still fragile and emerging moral identity, as well as an increase in demanding attitudes towards oneself and others. The results of the study could be useful for parents, educators, and school administrators willing to nurture moral growth in middle childhood.
An Empirical Study on the Use and Transitions of Representations in Primary Math Lessons
Authors:   University of Latvia, Čakāne Ildze , France Ilze
Published: November 2024

The goal of mathematics education is no longer the fast production of correct computations that technology can do more precisely and quicker than a human. An important goal today is to develop the ability to see the use of mathematical concepts as problem-solving tools. To be able to use mathematical ideas creatively one must first understand them. To foster conceptual understanding of mathematics one needs to make connections among concepts. For that, instructional content should incorporate diverse representations of mathematical ideas, and students should be given opportunities to link these representations together. This study aims to explore the use of representations and the connections between them in elementary math classrooms. Participants were 11 teachers from Latvia, Sweden and Norway. The data gathering was self-reflective. Teachers recorded the representations and transitions they used in their mathematics lessons. Beforehand, a consensus on the understanding of five representations (visual, math symbols, language, real-world and manipulatives) was gained via workshops and discussions. Closer understanding of transitions was achieved by collectively watching and analyzing a lesson video recording and agreeing on the transitions seen. The results show that manipulative and real-world situations are the least used in the lessons and the most used transitions were from visual to math symbols and from language to math symbols. While the importance of representation use is generally acknowledged in elementary math education, our study reveals a noticeable gap in the integration of concrete objects and real-life situations in everyday lessons. This raises a question about bridging the gap between research insights and actual teacher practices. Identifying strategies to enhance the incorporation of manipulatives and real-world scenarios in classrooms becomes imperative for fostering a deeper conceptual understanding of mathematics among students.
Students’ Motivation in Choosing to Study Less Commonly Taught Language at a Global University
Authors:   Latvian Language Institute, University of Latvia, Burr Solvita ,   Department of Scandinavian Studies, University of Washington
Published: November 2024

The article examines the motivational factors that have the greatest and least influence on students’ choice to study less commonly taught language(s) at the University of Washington. In 2023, a five-part online questionnaire was used to collect 88 students’ responses. The main part of the questionnaire consists of 46 motivational factors grouped into five thematic groups: Advertisements of language courses and language learning; prior knowledge of the learning process of the target language; positive previous experience in learning languages and prior knowledge of/about the target language; language speakers, their communities in the US and worldwide; the use of language, its functionality; future perspective. Students were asked to measure the importance of each factor on a five-point scale. In addition, 26 students in the course “Latvian Literary and Cultural History” were surveyed, using open-ended questions to find out their language knowledge, language-learning experience, and beliefs about the value of language knowledge and learning at the university level. The factors rated as extremely important in choosing to study a language were Interest in languages (63% of 88 responses), Traveling, studying, or living in places where the target language is spoken (57%), and Learning about other people and their culture (41%). In turn, the factors least influential in students’ choice to study language(s) were Regular posts about the course / language on social media (51% of respondents), Communication with relatives in their native / heritage language (46%), and Option to choose the number of credits (e.g., 3 or 5) (46%). Such results indicate that students’ intrinsic motivation has higher influence on their choice to study a language.
Flipped, Blended, and Experiential: Insights from Teaching English to University Faculty
Authors:   University of Latvia, Ginzburg Tatiana
Published: November 2024

Most research data on online, blended, and flipped classroom come separately from students and teachers. In continuing teacher development programs, most courses are focused on the methodology of teaching a specific subject, and course participants are also subject experts. Training in general topics is often planned based on experiential learning and focuses on developing subject-related activities or using learning technology. This applied small-scale research uses the data from semi-structured interviews with nine university professors who were students in an English language training project. As the result of the COVID-19 pandemic, the same course was delivered in face-to-face, online, and blended modality, and a new format to teach English to adults was developed and piloted. Reflections of educators learning a subject outside their field of expertise add valuable information on different teaching modalities. Moreover, accidental experiential learning related to the use of flipped, online, and blended classroom took place for some participants. Thus, a professional development program based on a subject universally interesting to teachers may be feasible. Results also support the claim that blended learning is “the best of all worlds” and incorporating flipped classroom adds value to adult students’ experience.