bluuebunny/crossref_metadata_2025 huggingface dataset:
Intestinal Lipoma Acting as a Lead Point of Intussusception: A Case Series
Authors: Jian Mei-Ying , Luo Xiao-Yan , Luo Xiu-Qin , Jin Ai-Fang , Luo Zhe-Huang
Published: February 2025

Background:

Lipomas represent a rare benign etiology of intussusception in adults, affecting both the small intestine and the colon. Diagnosing intussusception
in adults can be challenging, and there are no reports on the use of positron emission tomography/CT (PET/CT) in the diagnosis of lipoma-induced
intussusception. This study aimed to preliminarily explore the potential diagnostic utility of 18F-FDG PET/CT in the diagnosis of intussusception
caused by lipomas.

Methods:

We conducted a retrospective review of the clinical characteristics and imaging findings of three patients diagnosed with lipoma-induced
intussusception using 18F-FDG PET/CT from 2019 to 2023 at our hospital.

Results:

The three cases presented with diverse clinical presentations and were diagnosed based on PET/CT imaging. Surgical confirmation was obtained in
two cases. Lipomas were identified in both the small intestine and the colon, with one case displaying increased metabolic activity on FDG uptake,
suggesting a possible link between FDG uptake and clinical severity.

Conclusion:

Lipoma is a benign cause of intussusception that can occur in both the small intestine and the colon. The symptoms of adult intussusception are
often atypical and variable. Imaging modalities, particularly PET/CT, are instrumental in diagnosing intussusception due to lipomas, differentiating
between benign and malignant causes, and assessing the severity to inform treatment strategies.
Mycophenolic Acid Derivatives from Vietnamese Marine Sponge-derived Penicillium sp. 1901NT-2.53.1 Strain and their Antiproliferative Activity
Authors: Khmel Olga O. , Trinh Phan Thi Hoai , Ngoc Ngo Thi Duy , Chingizova Ekaterina A. , Drozdov Konstantin A. , Popov Roman S. , Van Tran Thi Thanh , Khanh Huynh Hoang Nhu , Duc Thinh Pham , Yurchenko Ekaterina A. , Yurchenko Anton N.
Published: February 2025

Background:

Marine sponges and sponge-associated fungi are rich sources of bioactive
compounds with pharmacological potential. However, the secondary metabolites of Vietnamese
marine sponge-derived fungi have been poorly studied.

Objective:

The aim of this study was to investigate the low-molecular-weight compounds in the
extract of Penicillium sp. 1901NT-2.53.1 fungus isolated from the Vietnamese marine sponge
Cinachyrella sp., and the antiproliferative activity of the isolated compounds.

Methods:

The structures of isolated compounds were elucidated using spectroscopic methods.
The cell viability effects of the compounds were evaluated using MTT assay. Molecular docking
was performed using SwissDock.

Results:

UPLC-MS data suggested the presence of beauvericin, citreorosein, benzopyran and
chlorotetracycline derivatives, 2-chloro-1,3,8-trihydroxy-6-(hydroxymethyl)anthracene-9,10-
dione and ergosterol peroxide in the fungal extract. Chromatographic separation of the extract
resulted in the isolation of three derivatives of mycophenolic acid (MPA), namely penicacids G
and K and 4-hydroxy-MPA. Penicacid K was isolated from a natural source for the first time.
Penicacid G inhibited the viability of human normal HaCaT keratinocytes with IC50 of 88.3 μM
and 72.9 μM for 24 h and 48 h of treatment, respectively. Moreover, penicacid G arrested the proliferation
of HaCaT keratinocytes. Both penicacids K and G can interact with the active site of
IMPDH2, similar to other derivatives of MPA; however, the differences in their structures are
important.

Conclusion:

Due to the selective action on cancer cells and good druggability, penicacid G may
be interesting as an antiproliferative anticancer compound.
LC-MS Characterization and Antiviral Proficiency of Fish Mint (Houttuynia cordata) Aqueous Extract Against EV-A71
Authors: Hamidi Munira , Ong Kien Chai , Wong Kum Thong , Yap Yeannie Hui Yeng , Tan Soon Hao
Published: February 2025

Background and Objectives:

Enterovirus A71 (EV-A71), is a hand, foot and mouth disease
that has become one of the major health concerns in the Asia-Pacific region. Prior studies
have reported that Houttuynia cordata (H. cordata) extract may possess antiviral activity against
EV-A71. In this study, the chemical composition of H. cordata aqueous extract and its anti-
EV-A71 properties were studied.

Materials and Methods:

Anti-EV-A71 properties were studied according to different viral infection
stages using cell survivability and viral titration assay repeatability against different EV-A71
sub-genotypes and stability in human saliva and hydrochloric acid was also tested. The total carbohydrate
and protein content of the extract were estimated and active compounds were screened using
LC-MS analysis.

Results:

The H. cordata extract exhibits significant inhibition against EV-A71 at a concentration
of 1 mg/ml with minimal cytotoxicity. This antiviral effect is robust and resilient even in the presence
of human salivary enzymes and an acidic environment. Intriguingly, our study indicates that
the SCARB2 receptor does not seem to play a role in mediating the anti-EV-A71 activity. These
promising results extend to various sub-genotypes of EV-A71. The total carbohydrate and protein
content in the extract was 521.13 μg/ml and 21 μg/ml, respectively. LC-MS analysis unveiled the
presence of 4 known and 16 unknown compounds, expanding our understanding of its composition.

Conclusion:

These results underscore the potential of H. cordata aqueous extract and its constituents
as promising candidates for the development of novel antiviral agents. Furthermore, our
findings contribute to the broader field of antiviral research and highlight the potential of traditional
Chinese medicine in combating viral infections.
Quantification of [11C]ABP688 Binding to mGluR5 in Human Brain using Cerebellum as Reference Region: Biological Interpretation and Limitations
Authors: Milella Michele S. , Minuzzi Luciano , Benkelfat Chawki , Soucy Jean-Paul , Kirlow Alexandre , Schirrmacher Esther , Angle Mark , Verhaeghe Jeroen A.J. , Massarweh Gassan , Reader Andrew J. , Aliaga Antonio , Peixoto-Santos Jose Eduardo , Guiot Marie-Christine , Kobayashi Eliane , Rosa-Neto Pedro , Leyton Marco
Published: February 2025

Introduction:

In vitro data from primates provide conflicting evidence about the suitability
of the cerebellum as a reference region for quantifying type 5 metabotropic glutamate receptor
(mGluR5) binding parameters with positron emission tomography (PET).

Methods:

We first measured mGluR5 density in postmortem human cerebellum using [3H]ABP688
autoradiography (n=5) and immunohistochemistry (n=6). Next, in vivo experiments were conducted in
healthy volunteers (n=6) using a high-resolution PET scanner (HRRT) to compare [11C]ABP688 binding
potential (BPND) values obtained with reference tissue methods and the two-tissue compartment
model vs. metabolite-corrected arterial input function.

Results:

The postmortem data showed that, relative to the hippocampus, the cerebellum had 35% less
mGluR5 immunoreactivity and 94% fewer [3H]ABP688 binding sites. In vivo brain regional
[11C]ABP688 BPND values using the cerebellum as a reference region were highly correlated with
BPND values and distribution volumes derived by arterial input methods (R2 > 0.9).

Conclusion:

The scarce availability of cerebellar allosteric binding sites at autoradiography, compared
to immunohistochemistry results, might reflect the presence of distinct mGluR5 isoforms or conformational
state. Together with our PET data, these data support the proposition that [11C]ABP688 BPND
using the cerebellum as a reference region provides accurate quantification of mGluR5 allosteric binding
in vivo. Studies relying on this method could, therefore, be used in clinical populations, providing
that stronger initial assumptions are met.
Analysis of Causative Factors, Clinical Course, and Diagnosis of Secretory Otitis Media in Adults
Authors: Orishchak Ostap , Orishchak Diana , Vasyliuk Nataliia
Published: February 2025

Abstract. The paper assessed and systematized the primary causative factors, clinical progression, and diagnosis of secretory otitis media in adults through bibliographic and structural-logical analyses. The global significance of this issue has been assessed based on international and national research.
The study aimed to analyze the primary causative factors, clinical course, and diagnosis of secretory otitis media in adults, as well as their significance in selecting the most effective treatment methods.
Material and Methods. Bibliographic and structural-logical analyses were used to investigate secretory otitis media in adults as a medical and social issue.
Results. Recent studies have challenged previous beliefs of a single etiology for secretory otitis media, identifying multiple potential causes and variations in disease progression influenced by their combination and predominance.
 Conclusions. The analysis revealed that, despite the wealth of data available on the etiology, pathogenesis, diagnosis, and treatment of SOM, it remains one of the leading causes of hearing loss in adults. Ongoing research into the causative factors and their systematization will enable improved functional outcomes and reduced recurrence rates by applying pathogenetically-based treatments.
Keywords: Secretory Otitis Media; Etiology; Pathogenesis; Diagnosis; Hearing Los
Management of Fluid Therapy in Acute Alcoholic Pancreatitis
Authors: Feshovets Nazar , Pyptiuk Oleksandr
Published: February 2025

Abstract. Acute alcoholic pancreatitis (AAP) represents a significant cause of hospitalizations in surgical departments, with severe cases leading to multi-organ failure and high mortality rates, up to 30%. Effective management of AAP requires accurate patient condition assessment, which directly influences treatment strategies, including fluid resuscitation, pain relief, nutritional support, and antibiotic use. A key factor in AAP outcomes is the development of hypovolemia, caused by fluid loss into the peritoneal and retroperitoneal spaces, exacerbating systemic and local hypoperfusion, tissue ischemia, and pancreatic necrosis. Proper fluid therapy is essential to prevent both hypovolemia-related complications and fluid overload, which may lead to pleural effusion, cerebral edema, and cardiovascular dysfunction. Current guidelines for fluid therapy in AAP focus on maintaining specific physiological parameters such as mean arterial pressure, heart rate, central venous pressure, urine output, and hematocrit levels. However, the use of non-invasive methods like bioimpedance analysis, which measures tissue resistance to determine fluid distribution, may offer more precise insights into the patient's fluid status, enabling better management of infusion therapy.
The aim to optimize fluid management in patients with moderate to severe AAP and reduce infectious complications through the use of bioimpedance analysis.
Materials  and  methods. A total of 110 patients were enrolled, including 101 men and 9 women. The patients were divided into two groups: one treated with standard fluid therapy using Ringer's lactate solution and the other receiving Sterofundin ISO solution, with infusion volumes adjusted according to bioimpedance measurements. Laboratory tests, including procalcitonin levels and the Limulus amebocyte lysate (LAL) test, were used to monitor inflammatory markers and endotoxin levels, while bioimpedance measurements were conducted on days 1, 3, 5, 8, 11, and 14 to dynamically assess fluid balance.
The results showed that patients treated with Sterofundin ISO and bioimpedance-guided fluid management experienced a significant reduction in extracellular fluid volume deviations and infectious complications compared to those receiving standard treatment. In the second group, the incidence of infectious complications in patients with moderate AAP decreased from 35.9% to 21.62%, and in severe cases, from 81.3% to 44.45%..
Key words: acute alcoholic pancreatitis, LAL-test, bioimpedance measurement, infusion, infectious complications
Germination of cloud forest native shrubs with potential for restoration in central Veracruz, Mexico
Authors: Ortíz-Hernández J. Manuel , Vovides Andrew P. , Diaz-Toribio Milton H.
Published: February 2025

Background and Aims: Seed germination studies are of great importance in conservation biology, restoration ecology, and the development of efficient propagation techniques. The use of native shrub species in restoration activities is scarce owing to lack of information on propagation, establishment, and general management. For this study, we assess the germination of eight shrub species native to the cloud forest by comparing seeds subjected to a pre-germinative treatment (imbibition) and seeds without treatment, under two germination conditions: greenhouse and germination chamber. We expect that under constant temperature conditions and exposure to a pre-germinative treatment, seeds will germinate more quickly and in higher proportions than seeds, exposed to temperature variations and without any pre-germinative treatment.
Methods: We setup a randomized experimental design consisting of 10 petri dishes containing 30 seeds per treatment (i.e., imbibition or control) in each germination condition (i.e., greenhouse or germination chamber). We recorded germination percentage, the number of days for initiation of germination, and t50.
Key results: Our results showed an important difference in the germination response between both germination conditions of the eight species evaluated. The optimal conditions for germination for most species were constant light and temperature of 25°C provided by the germination chamber, as this was associated with high rates of germination.
Conclusions: Understanding the seed germination process can provide valuable insights into the specific environmental conditions required for the successful propagation of the studied species. Furthermore, a thorough understanding of germination requirements can guide the development of more effective restoration techniques, as well as to inform conservation efforts by allowing managers to create strategies for optimal seed storage and handling and improve germination rates.
Evaluation of the Quality of Delirium Website Content for Patient and Family Education: Cross-Sectional Study
Authors: Krewulak Karla , Strayer Kathryn , Jaworska Natalia , Spence Krista , Foster Nadine , Kupsch Scotty , Sauro Khara , Fiest Kirsten M
Published: February 2025

Background

Patients and families who have experienced delirium may seek information about delirium online, but the quality and reliability of online delirium-related websites are unknown.

Objective

This study aimed to identify and evaluate online delirium-related websites that could be used for patient and family education.

Methods

We searched Microsoft Bing, Google, and Yahoo using the keywords “delirium” and the misspelled “delerium” to identify delirium-related websites created to inform patients, families, and members of the public about delirium. The quality of identified delirium-related website content was evaluated by 2 authors using the validated DISCERN tool and the JAMA (Journal of the American Medical Association) benchmark criteria. Readability was assessed with the Simple Measure of Gobbledygook, the Flesch Reading Ease score, and the Flesch Kincaid grade level. Each piece of website content was assessed for its delirium-related information using a checklist of items co-designed by a working group, which included patients, families, researchers, and clinicians.

Results

We identified 106 websites targeted toward patients and families, with most hospital-affiliated (21/106, 20%) from commercial websites (20/106, 19%), government-affiliated organizations (19/106, 18%), or from a foundation or advocacy group (16/106, 15%). The median time since the last content update was 3 (IQR 2-5) years. Most websites’ content (101/106, 95%) was written at a reading level higher than the recommended grade 6 level. The median DISCERN total score was 42 (IQR 33-50), with scores ranging from 20 (very poor quality) to 78 (excellent quality). The median delirium-related content score was 8 (IQR 6-9), with scores ranging from 1 to 12. Many websites lacked information on the short- and long-term outcomes of delirium as well as how common it is. The median JAMA benchmark score was 1 (IQR 1-3), indicating the quality of the websites’ content had poor transparency.

Conclusions

We identified high-quality websites that could be used to educate patients, families, or the public about delirium. While most delirium-related website content generally meets quality standards based on DISCERN and JAMA benchmark criteria, high scores do not always ensure patient and family-friendliness. Many of the top-rated delirium content were text-heavy and complex in layout, which could be overwhelming for users seeking clear, concise information. Future efforts should prioritize the development of websites with patients and families, considering usability, accessibility, and cultural relevance to ensure they are truly effective for delirium education.
Mengkaji Dampak Sosial Pengembangan Desa Wisata Karangrejo dan Karanganyar, Borobudur, Jawa Tengah
Authors: Anggraeni Anna Rizky , Prastika Silviana , Lathiif M. Izza , Tri J. Sausan Adelia Galuh , Dean Neta Harmisa , N. Rifka Nafilatun
Published: February 2025

Local community involvement is one of the main focuses of the concept of sustainable tourism. By emphasizing Community-Based Tourism (CBT), this study examines the impact of tourism on the social conditions of the community in Karangrejo Village and Karanganyar Village, Borobudur District, Magelang Regency, Central Java Province. This study uses a qualitative approach so that data collection can be carried out through interviews and direct observation. Tourism activists such as local business owners and community coordinators in Karangrejo Village and Karanganyar Village are key informants in revealing the socio-community and socio-economic aspects as an impact of tourism. The findings show that tourism has an impact on at least five aspects, namely population, employment, health, education, and community inclusiveness. Serious attention to the importance of inclusive policies is crucial to ensure fair participation for the community in sustainable tourism development practices.
Strategi Peningkatan Daya Dukung Wisata di Kawasan Wisata Lembang
Authors: Labibah Fairuz , Khainur Puti Nailatulfarihah I. , Furqan Alhilal
Published: February 2025

Commonly used tourism carrying capacity assessment methods currently have shortcomings because they still use indicators that cannot be measured, making it difficult to be understood and applied in the form of policies by relevant parties. In addition, some indicators are not collected at all by authorities because they are not considered important or are only relevant for one type of destination and not for other destinations. So ESPON conducted research to develop a new method for assessing the carrying capacity of tourist areas that was implemented in four destinations in Slovenia and Italy. The method was then adapted to be implemented in the Lembang tourism area, and has several stages, namely an overview of tourist destinations, a review of tourist destinations from the point of view of sustainable development and tourism development, data collection of tourist destinations, identification of strengths, weaknesses, opportunities, and threats (SWOT), and strategy formulation. Some of the resulting strategies are utilizing natural and cultural wealth wisely to improve the economy and welfare of the community around the tourist area, involving all parties (managers, government, community and tourists) in maintaining public facilities of tourist attractions, making bad reviews of tourists as an evaluation for tourist attraction managers, especially those related to improving public facilities, protecting natural wealth by giving strict sanctions to people who damage nature in tourist areas, and empowering the community in developing all existing tourist attractions.
Stm32-based Mask-assisted Respirator - Portable Ventilated and Scented Masks
Authors: Deng Hongtao
Published: February 2025

The STM32-based portable ventilated and scented mask is an innovative respiratory aid designed to enhance the comfort and breathing efficiency of the wearer. Adopting independent separated design, the core components include air dispenser and air inlet to realize intelligent air control. The air dispenser detects breathing speed and frequency, and the air inlet adjusts the air flow according to the analyzed results to ensure smooth breathing. The device adopts a multi-layer structure to provide multiple protection: the filter cover is used to initially block dust, the filter mesh enhances the filtration effect, and the intelligent fan adjusts the wind speed to realize auxiliary air exchange. The housing is equipped with an indicator light to show the status of the device, a lithium battery to provide long-lasting power, a circuit board that integrates a variety of intelligent functions, and a connector to ensure air circulation. The device is lightweight and the snap-on design makes installation quick and easy, taking less than 10 seconds. Compared with other smart masks, this product is affordable and aims to let more people enjoy the convenience of technology. The design not only improves wearing comfort, but also potentially extends wearing time. With the intelligent wind control function realized by STM32 microcontroller, the device is equipped with efficient computing power and stability performance. The power management system is optimized to provide powerful functionality while keeping power consumption low. With significant advantages in design, functionality and affordability, the device will provide users with an efficient, comfortable and intelligent breathing assistance solution.
Characteristics of Traditional Costume of Muong Women in Thanh Hoa Province, Vietnam
Authors: Hang Bui Thi
Published: February 2025

After experiencing numerous ups and downs throughout history, the 54 ethnic groups of Vietnam have created, preserved, and maintained their own rich and diverse cultural heritage. Throughout history, clothing has been an essential element in shaping the cultural identity of a community, an ethnic group, or a nation. Each ethnic group's clothing has its own distinctive features, reflecting everything from the structure to the decorative patterns on each part of the garment. Through the lines, colors, patterns, and shapes of each component of the clothing, the customs, lifestyle, habits, and aesthetic essence of that ethnic group are also expressed. The traditional clothing of Mường women in Thanh Hóa has very prominent distinctive features in its structure; the garments are bright in color, creating a striking and unique impression. The decorative patterns on the clothing are intricate, showcasing the skill and delicacy of Mường women.
Heart Disease Prediction Using R
Authors: J Gowri
Published: February 2025

Heart disease is one of the leading causes of mortality worldwide, making early detection and prevention critical for
improving healthcare outcomes. This project focuses on leveraging machine learning techniques in R to develop predictive
models for heart disease based on a dataset comprising demographic, behavioral, and medical risk factors. The dataset includes
features such as BMI, smoking status, alcohol consumption, physical activity, mental and physical health conditions, and other
indicators. The project explores and compares the performance of multiple machine learning algorithms, includ- ing Logistic
Regression, Decision Trees, Random Forests, and Gradient Boosting (XGBoost), for predicting the likelihood of heart disease.
Extensive data preprocessing, feature engineering, and model evaluation techniques are applied to ensure the accuracy and
reliability of predictions. The models are evaluated using metrics such as accuracy, precision, recall, and F1 score, and
visualization techniques are employed to interpret model performance and feature importance. The best-performing model
achieves high accuracy, demonstrating its potential foridentifying individuals at risk of heart disease. Additionally, the project includes a user-friendly prediction function that accepts individual patient data as input and provides risk predictions, facilitating
clinical decision-making. By combining statistical rigor with machine learning, this project provides a data-driven approach to
heart disease prediction, aiming to enhance early intervention strategies, reduce healthcare costs, and ultimately save lives
Export Promotion of Small and Medium Sized Enterprises in India
Authors: Irshad Izhan
Published: February 2025

This dissertation focuses on the effectiveness of export promotion policies and innovation for Indian SMEs in
enhancing the international competitiveness and revenues. SMEs are a critical sector for the economic growth of India, but
constraints including restricted credit, increase in regulatory issues, and lack of technology negatively affect their market in the
global marketplace. These challenges are assessed in relation to important government measures, such as the Merchandise
Exports from India Scheme (MEIS), Market Access Initiative (MAI), and Export Credit Guarantee Corporation (ECGC).
Through a method of qualitative research and secondary data collection and analysis, the paper finds that although, medium
sized enterprises benefit from these policies, the small ones encounter challenges of access to these policies and support
structures due to administrative drawbacks. The results indicate the necessity of strengthening policy accessibility for more
effective sustainable and balanced development and for the promotion of innovative approaches. Proposals are on enhancing
policy communication to emerging SMEs, incorporating support for innovation, and synchronizing export campaigns with the
nation’s economic development objectives.
INTEGRASI KEBIJAKAN MAKROPRUDENSIAL DAN MONETER TERHADAP RESILIENSI BANK SYARIAH DI INDONESIA
Authors: Zuhroh Idah , Anindyntha Firdha Aksari , Rusdianasari Fitri
Published: February 2025

The Covid-19 pandemic has caused economic contraction and uncertainty in global financial markets, impacting both conventional and sharia financial sectors. Indonesia's dual banking system showed positive sharia banking performance during the crisis, highlighting its potential for financial stability. This study examines the impact of macroprudential and monetary policy synergy, along with macroeconomic and internal banking factors, on the resilience of sharia banks in Indonesia. This condition is of concern to researchers considering that a resilient sharia financial industry has the potential to maintain financial stability amidst global economic turmoil. This study examines the impact of macroprudential and monetary policy synergy, along with macroeconomic and internal banking factors, on the resilience of sharia banks in Indonesia, in terms of the stability and performance of sharia bank credit distribution in Indonesia. The method used is the Generalized Method of Moments with quarterly data from 2012 to 2022. The findings show that macroprudential and internal bank factors significantly affect stability, while credit distribution is influenced by macroprudential policies, monetary instruments, and macroeconomic fundamentals. Therefore, strengthening macroprudential policies and aligning monetary policies with the characteristics of Islamic banking are very important to increase the resilience of sharia banks in Indonesia.
Evaluating Deep Learning Models for Effective Weed Classification in Agricultural Images
Authors: Panacho Ferreira Bianca , Henrique Campos Moreira Pedro , Silva Leandro Henrique Furtado Pinto , Mari João Fernando
Published: February 2025

Effective weed management is crucial for maximizing agricultural productivity and minimizing crop losses. Traditional methods for weed detection and classification often suffer from errors and delays, particularly in the absence of specialists. Deep learning technologies offer a promising alternative for automating these tasks, potentially enhancing both accuracy and efficiency. This study compares three advanced deep learning architectures, ResNet-50, EfficientNet V2, and Vision Transformers (ViT), for classifying weed species using the DeepWeeds dataset. We explore the effects of data augmentation on model performance, evaluating each model based on accuracy, precision, recall, and F1 score. Our results demonstrate that data augmentation significantly improves model performance. EfficientNet V2 achieved the highest performance across all metrics, with a peak accuracy of 0.9703. This research provides valuable insights into selecting effective architectures and training strategies for more accurate weed detection in agricultural applications.
Analyzing Bee Behavior Through Video Tracking Using Computer Vision Techniques
Authors: Lima Ian Carlos Rocha , Roberto Ortoncelli André , Potrich Michele , Marcon Marlon
Published: February 2025

Bees are responsible for a large part of the pollination of plant species and act as bioindicators in evaluating phytosanitary products. Research on bee behavior and mortality can be carried out in laboratories with a controlled environment. Still, even so, behavioral assessment, when performed visually by an expert, becomes time-consuming and susceptible to failures, which justifies the creation of automated systems for this purpose. This article presents a tool based on Computer Vision to support this activity. The YOLO/Darknet architecture was used to detect bees in videos, and experiments were carried out with eight pre-trained models, obtaining adequate results of insect detection, which were used to develop an interface that provides graphs and reports: heat maps, walking maps, the percentage of the area explored, the time spent moving, and the speed at which individuals move. Experts can interpret the information produced by the proposed tool to understand bee behavior.
Deep Learning-Based Segmentation of Nanomaterial Images Acquired via Scanning Electron Microscopy
Authors: Lucinda De Donato Ivânia Maria , Do Nascimento Lunz Juliana , Davi Marques Fernanda , Soares Archanjo Bráulio , Pereira Lopes Francisco José , Antônio Giraldi Gilson
Published: February 2025

This work investigates the application of deep learning techniques to analyze nanomaterial images acquired by scanning electron microscopy (SEM). The main objective is to improve the segmentation of zinc oxide (ZnO) nanoparticles and graphene oxide (GO) nanosheets. For this purpose, we developed a dedicated database for the supervised training of deep neural networks, using the U-Net architecture. Given the high spatial resolution of the original images, we investigated two approaches for image subdivision during the training and testing stages. Due to the high cost of acquiring and annotating SEM images of nanomaterials, we applied transfer learning through fine-tuning, adapting the network previously trained on ZnO images to segment GO images. The results were promising, with accuracies and recalls exceeding 95% for both ZnO and GO images.
Automatic Detection and Counting of Tuta Absoluta Insect in Trap Images
Authors: De Souza Gabriel Santos , Corrêa Vargas Camila , Hamerski Jean Carlo
Published: February 2025

The integration of artificial intelligence (AI) into agriculture offers solutions to challenges such as pest control. AI can improve productivity and sustainability through precision agriculture. This paper presents an automatic system for identifying and counting Tuta absoluta pests in trap images, integrated into a monitoring platform. The platform uses a biological defensive system for sustained pest control. The solution employs ImageAI deep learning algorithms to detect and classify pests, using YOLOv3 and TinyYOLOv3 models. We provide assessments of the performance and resource consumption of the evaluated models. YOLOv3 achieved a detection precision of 95.28% in images with 10-50 insects, decreasing to 87.51% for around 100 insects. Despite YOLOv3 demonstrating higher precision in the detection of the number of insects, the Tiny YOLOv3 model was shown to be 4.5 times faster in the training process and occupies almost 8 times less storage space.
Artificial Intelligence for Gas Leak Detection with Thermal Cameras and Metal Oxide Semiconductor Sensors
Authors: Sanches Edmilson , Augusto Fábio , Silveira Pauline , Feijó Junqueira Bernardo , A. M. Lemes Dimas , Picolo José , Ribeiro Sales Guilherme , Corso Valentino , S. Bezerra Cides
Published: February 2025

Early detection of gas leaks is crucial for safety and efficiency in oil platforms and refineries. The presence of various hazardous gases, often imperceptible to human senses, poses significant risks. AI-powered solutions can effectively monitor for gas leaks, improving safety and ensuring efficient operations. In this work we proposed a modular architecture effectively combines tabular data from gas sensors and spatial information from thermal images using a variety of backbones, including MobileNet. By employing dense layers and an optimized training strategy, we achieved state-of-the-art performance, with 100% accuracy, demonstrating the effectiveness of our approach for gas leakage detection.
How Misleading Can The Analysis of Human Eye Movements Be? Experiments on Dominante Eye and Cognitive Visual Perception
Authors: Pinto Alisson Moriyasu , Macedo Romera João Vitor , Thomaz Carlos Eduardo
Published: February 2025

Research on the human dominant eye has existed for over 100 years, yet no consistent methodology uses dominant eye data to analyze eye movements in eye-tracking studies. This is concerning, as eye-tracking technology is increasingly important for understanding human visual perception, especially in healthcare decision-making. The aim of this project is to develop an approach for analyzing the dominant eye using Tobii TX300 eye-tracking equipment. The specific objectives are: (1) to create a fast, non-invasive test to determine the dominant eye; (2) to develop a signal acquisition system with various stimuli and pattern recognition; and (3) to analyze results based on dominant eye outcomes. Initial results show divergence between the eyes, but the mean of fixation points from both eyes provides the most accurate mathematical metric with the lowest quadratic errors compared to theoretical fixation points.
A Novel Brazilian Dataset for Automatic Detection of Psyllid Attacksin Guava
Authors: Magalhães de Mesquita Iago , Ferreira Rodrigues Moreira Larissa , Da Silva Nunes Rhuan , Cavalcante de Paula Júnior Iális
Published: February 2025

Guava, a fruit native to America, plays a crucial role in the Brazilian economy, with production reaching 564,000 tons by 2022. It is widely used in culinary dishes and herbal remedies, and is exported to numerous countries. However, guava is also susceptible to pests and diseases. Among these, Psyllid Triozoda Limbata is particularly problematic, attacking young leaves and leading to reduced fruit yields and impaired plant development. To address this issue and assist producers in detecting pest infestations, this study introduces a novel dataset comprising images from Brazil. By leveraging Artificial Intelligence and Computer Vision techniques, this dataset provides a foundation for developing pest detection systems. We evaluated various object detection architectures including different versions of YOLO and Vision Transformer (ViT). The experiments indicated that YOLO V5 achieved promising results, with a precision of 93.14%. Moreover, the availability of this dataset opens new opportunities for enhancing pest management strategies, improving crop protection, and increasing the overall productivity in the guava industry.
YOLO and CNN for Cat Detection and Recognition
Authors: Xavier Lemos Dayllon Vinícius , Jose Longo Humberto , Rodrigues Cappelle Santana Márcia , Dourado Ximenes de Sena Santos Mariana , Oliveira de Macedo Sanderson , Martins da Costa Ronaldo
Published: February 2025

This paper proposes a processing architecture for recognizing domestic felines in videos and images based on facial features. Some photos of the cats to be identified in the videos and images need to be collected in advance. A key aspect of this study is avoiding the need to retrain the model whenever the set of cats to be identified changes. The architecture involves five processing stages: video processing, YOLOv8 for cat detection, InceptionV3 for feature extraction, KNN for database searching, and voting process to improve classification. Transfer learning and fine-tuning techniques are employed to improve performance. The proposed method achieves high accuracy, offering a scalable and non-invasive solution for cat recognition, which can contribute to urban management, cat loss prevention, and medical insurance control for domestic cats, among other applications.
Paradigms of EU New Pact on Migration and Asylum
Authors: Casanova Villela Stephanie
Published: February 2025

Due to world crises and economic difficulties, several migratory waves have occurred in recent years. One of the main destinations for migrants was Europe. Burden of responsibility, lack of resources on the part of the Member States that received these immigrants and refugees were some of the consequences that mass immigration caused. In this way, to migrate these problems, the European Union decided to establish a New Pact for Migration and Asylum, where it divided the responsibility among all Member States, seeking a better redistribution of obligations. None of the States of the European Union are obliged to be adherents of this new pact, as they all have their sovereignty, however, if they refuse, they will be financially penalized by the European bloc. The present work intends to approach the aspects that were established by this new pact and also to talk about the benefits and harms of the migratory waves, the challenges addressed by the European Union and how it intended to solve it with the new legislation.
Guerra à Paz:
Authors: Menescal Gastão
Published: February 2025

O presente trabalho tem por objetivo a análise das relações bilaterais entre o Reino da Itália e a República do Brasil durante os anos da Primeira Guerra Mundial, contemplando as  bases destes vínculos diplomáticos e seus impactos para os dois países. O artigo fará  uso de pesquisa bibliográfica tendo como referências artigos e livros sobre o tema, buscando examinar acuradamente as fontes históricas de língua italiana e portuguesa.  É compreensível que o fenômeno da Grande Guerra resultou no desmantelamento da ordem internacional herdada do Congresso de Viena. O conflito afetou profundamente as relações entre os componentes do sistema, impulsionando movimentos migratórios, alianças  imprevistas e novas controvérsias internacionais. Através da pesquisa documental, conclui-se que a colaboração no contexto da Tríplice Entente foi propulsora dos laços entre Roma e o Rio de Janeiro, proporcionado um grandioso salto qualitativo em seus contatos bilaterais com consequências expressivas para o longo e inquieto século XX.
"As bucetas não têm pra onde ir"
Authors: Vieira da Silva Fabio Junio
Published: February 2025

O presente artigo aborda os fenômenos literários do riso e do gozo, tendo o discurso do narrador como ponto de partida, no romance Pornopopéia (2009), obra da literatura brasileira contemporânea, do escritor Reinaldo Moraes. A narrativa em questão assume um enredo dinâmico, com um texto que exprime uma força descomunal na configuração de personagens que tem, na rotina da cidade e seus becos meretrícios, um lugar onde se pode sanar seus suplícios e desejos. Moraes é feliz ao produzir uma narrativa bastante rápida em que mistura a densidade narrativa, poemas improvisados e uma linguagem marginal, repleta de neologismos, que introduz o leitor em um mundo totalmente suburbano e, de certa forma, violento. Nesse sentido, para tratar do riso enquanto constitutivo essencialmente humano, acionamos as teorias de Minois (2003) e Eagleton (2020); esse último que se utilizada das ideias de Bakhtin, de modo a traçar um paralelo entre o riso carnavalesco e sua relação com o baixo corporal, isto é, uma relação que se estabelece entre o riso e o erótico.
RAINHA DO IGNOTO, DE EMÍLIA FREITAS, E AS BRUMAS DE AVALON, DE MARION ZIMMER BRADLEY
Authors: Sousa Santa Paixão Ribeiro de , Câmara Yls Rabelo
Published: February 2025

A Rainha do Ignoto, publicado no Brasil em 1899, e As Brumas de Avalon, nos Estados Unidos, em 1979, são dois romances pioneiros, duas utopias que enaltecem mulheres que vivem em comunidades míticas formadas por elas em ilhas mágicas, crescendo em conjunto, praticando a sororidade e a solidariedade e prescindindo dos homens – que inclusive depreciam seu estilo de vida evoluído espiritualmente, mas não o conseguem superar. Ambas as obras romperam paradigmas e estabeleceram uma nova ordem: a primeira, inaugurou a Literatura Fantástica no Brasil; a segunda, inverteu a releitura da lenda arturiana para sempre. Não poderiam sair impunes. Rechaço, silenciamento e apagamento foram algumas das muitas consequências para suas autoras, Emília Freitas e Marion Zimmer Bradley, respectivamente. Neste artigo, uma revisão de literatura, uma pesquisa básica e de objetivo exploratório, tratamos dessas questões baseando-nos em estudiosas e estudiosos da área como Câmara (2016); Castro (2021); Catrib, Paula e Câmara (2023); Oliveira (2007) e Sousa (2022), dentre outras e outros. Concluímos que o repúdio e o ostracismo que o presente dossiê trata, canalizando o escopo para as escritoras nordestinas solapadas pelo nosso Cânone Literário, extrapola esta fronteira e deságua em terras outras, mas com o mesmo problema: a misoginia no meio literário.
DORES DE NORDESTINAS E SERTANEJAS ESPELHADAS NA CIRANDA DE MULHERES EM NADA DE NOVO SOB O SOL, DE LÚCIA MARTINS
Authors: Pereira Michelle Andrade , Marques Rodrigo de Albuquerque
Published: February 2025

Maria Lúcia Fernandes Martins era a voz feminina do Grupo Clã, o Clube de Literatura e Arte Moderna. Porém, mesmo com seu protagonismo nas letras cearenses, publicando romances como Destinos cruzados (1953), A face marcada (1955) e Nada de novo sob o sol (1967), a escritora sofreu um processo de apagamento, sendo esquecida tanto no meio regional como no nacional. O romance Nada de novo sob o sol traz em sua constituição a voz de uma narradora e protagonista mulher, sertaneja e idosa. Além desse aspecto, nota-se a presença de uma ciranda de personagens femininas que compõem a narrativa da escritora, denunciando a opressão atrelada à condição da mulher, a deslegitimação, a violência sistêmica e o silenciamento feminino, dentre outros temas ligados à realidade da mulher no Nordeste, em especial da mulher sertaneja. Para amparar esta pesquisa bibliográfica, fundamentamo-nos em investigadoras/es basilares como Azevedo (1975), Câmara e Câmara (2015), Câmara, Câmara e Soutullo (2015), Del Priori (2022) e Moraes (2012; 2004), dentre outras e outros. Concluímos que trabalhos como este são impreteríveis para trazer a lume a vida, a obra e a fortuna crítica desta escritora ímpar que foi ostracizada, mas que paulatinamente vem sendo resgatada.
PERCURSOS E PERCALÇOS NA TRAJETÓRIA DA HISTÓRIA DAS MULHERES BRASILEIRAS
Authors: Duarte Constância Lima
Published: February 2025

Relato de Experiência.
Battle of the Stores: OH! SOME vs MINISO, Explorasi Pengaruh Store Atmosphere terhadap Minat Beli Konsumen di Solo Paragon
Authors: Anggraini Astri Sabrina , Rizki Nurhidayah
Published: February 2025

Store atmosphere telah lama menjadi salah satu aspek krusial yang memengaruhi minat beli konsumen. Elemen seperti color design dan display toko memiliki peran besar dalam menciptakan pengalaman belanja yang menarik. Dengan demikian, penelitian ini dilakukan untuk mengungkap apakah color design dan display toko berpengaruh terhadap minat beli konsumen di dua ritel besar, OH! SOME yang baru hadir pada 2023 dan MINISO yang telah beroperasi sejak 2017 di Solo Paragon. Selain itu, penelitian ini juga mengkaji kemungkinan adanya perbedaan rata-rata minat beli konsumen di kedua toko. Studi ini memanfaatkan pendekatan kuantitatif. Analisis regresi linier berganda, uji F, serta uji independent samples test diterapkan untuk menguji hipotesis. Selain itu, metode non-probability sampling pada teknik purposive sampling digunakan dalam penelitian ini. Jumlah sampel yang digunakan penelitian ini berdasarkan desain causal-comparative adalah 120 sampel. Hasil penelitian menunjukkan bahwa display toko memiliki pengaruh signifikan terhadap minat beli konsumen, sementara color design secara individu tidak menunjukkan pengaruh yang signifikan. Namun, secara simultan, kedua variabel ini berkontribusi dalam menciptakan daya tarik visual yang memengaruhi keputusan pembelian. Selain itu, tidak terdapat perbedaan signifikan dalam rata-rata minat beli konsumen di OH! SOME dan MINISO, menunjukkan bahwa strategi visual keduanya memiliki efektivitas yang seimbang. Penelitian ini memberikan kontribusi baru dengan menegaskan pentingnya optimalisasi display toko sebagai strategi utama dalam menarik perhatian konsumen dan mendorong minat beli, terutama dalam industri ritel yang semakin kompetitif.
Analisis Pengaruh Faktor Eksternal: Tingkat Inflasi, Suku Bunga BI, dan Pertumbuhan Ekonomi (GDP) terhadap Risiko Kredit Pada Bank Syariah (NPF)
Authors: Sucik lestari  , Khoiriyah Rahmawati
Published: February 2025

This research aims to analyze the influence of inflation, BI interest rates, and economic growth (GDP) on NPF (Non-performing Financing). This study was conducted on Sharia Banks registered with Sharia Commercial Banks (BUS) in 2018-2022. The data used is secondary data from the annual reports of Sharia Banks. The sampling technique was purposive sampling, obtaining a research sample of 55 data. The research method used is a quantitative research method using data analysis techniques, namely panel data regression analysis, while data processing uses the Eviews 10 program. The research results show that the BI interest rate has a positive effect on NPF (Non-performing financing). Meanwhile, inflation and economic growth (GDP) has a negative effect on NPF (Non-performing financing).
Pengaruh Relationship Marketing, Kualitas Produk, dan Kepuasan Pelanggan Terhadap Loyalitas Pelanggan
Authors: Ummah Inayatul , Walyoto Sri
Published: February 2025

This research aims to determine the influence of relationship marketing, product quality, and customer satisfaction on customer loyalty in the Twenty Five Florist home industry in Boyolali District. This type of research in quantitative research. The number of samples used in this research was 129 respondents taken from each sub-district in Boyolali District. The sampling technique uses purposive sampling with the sample collection method via Google Form and distributing questionnaires offline. Data analysis techniques use SPSS 21. The research results show that the relationship marketing variable partially has no effect on customer loyalty. Product quality has a positive and significant effect on customer loyalty. Customer satisfaction has a positive and significant effect on customer loyalty. Then simultaneously relationship marketing, product quality, and customer satisfaction influence customer Loyalty in the Twenty Five Florist home industry in Boyolali.