bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthetic Meets Authentic: Leveraging Text-to-Image Generated Datasets for Apple Detection in Orchard Environments
Authors: Sapkota Ranjan , Ahmed Dawood , Karkee Manoj 
Published: March 2024

Abstract
Training machine learning (ML) models for computer vision-based object detection process typically requires large, labeled datasets, a process often burdened by significant human effort and high costs associated with imaging systems and image acquisition. This research aimed to simplify image data collection for object detection in orchards by avoiding traditional fieldwork with different imaging sensors. Utilizing OpenAI's DALLE, a large language model (LLM) for realistic image generation, we generated and annotated a cost effective dataset. This dataset, exclusively generated with text-to-image prompts/inputs, was then utilized to train a deep learning model, YOLOv8, for apple detection, which was then tested with real-world (outdoor orchard) images captured by a digital (Nikon D5100) camera as well as a machine vision camera (IntelRealsense D435i). The model achieved a training precision of 0.83, recall of 0.99, an F1 score of 0.92, and mAP@50 at 0.96. Validation tests against actual images collected over two different varieties of apples (Honeycrisp and Envy) in a commercial orchard environment showed a precision of 0.82 and 0.75, recall of 0.88 and 0.63, and mAP@50 of 0.92 and 0.70, each respectively. The inference time of the model was 0.015 seconds for the digital camera-based images and 0.012 seconds for the machine vision camera based images. This study presents a pathway for generating large image datasets in challenging agricultural fields with minimal or no labor-intensive efforts in field data-collection, which could accelerate the development and deployment of computer vision and robotic technologies in orchard environments.
Condition Assessment of Concrete Structures using Automated Crack Detection Method for Different Concrete Surface Types Based on Image Processing
Authors: Shalaby Yasmin M. , Badawy Mohamed , Ebrahim Gamal A. , Abdelalim Ahmed Mohammed 
Published: March 2024

Abstract
In the inspection and diagnosis of concrete construction, crack detection is highly recommended in the earliest phases to prevent any potential risks later. However, the flaws in concrete surfaces cannot be reliably and effectively identified using traditional crack detection techniques. The suggested algorithm is a supportive tool for agents or authorities to use in crack detection mechanisms to monitor and assess the current condition of buildings or bridges. The researchers aim to establish an intelligent model for automatic crack detection on different concrete surfaces based on image processing technology. Three different concrete surfaces—bridge decks, walls, and concrete cubes—are used to test the model. A subset of the public dataset of bridge decks and walls from SDNET (2018) and 150*150*150 mm of concrete cubes taken from the material laboratory of the faculty of engineering at Ain Shams University are applied to the model. The model F1-score measures are 98.87%, 97.43%, and 74.11% for detecting cracks in bridges, walls, and concrete cubes, respectively. The validation of the applicability of the suggested novel approach is based on a comparison with recent methods for crack recognition. The contribution of this study is that it could be applied efficiently to three different types of concrete surfaces. The proposed method is transparent in its workflow and has a lower computational cost compared with deep learning frameworks.
A Implementação dos Objetivos de Desenvolvimento Sustentável (ODS) nos Municípios Brasileiros: uma análise do projeto localizando os Objetivos de Desenvolvimento Sustentável (ODS) no Brasil
Authors: Eberhardt Fani Lúcia Martendal , Mantovaneli Junior Oklinger 
Published: March 2024

A agenda 2030 é o desafio em vigor, que no Brasil é compartilhado com os municípios, que precisam adequar os objetivos globais para a escala local. Pensando nisso, a CNM e ART Pnud firmaram parceria em 2016 para o desenvolvimento do projeto Localizando os Objetivos de Desenvolvimento Sustentável (ODS) no Brasil. O projeto gerou dois guias, uma página virtual, e a ferramenta Mandala. Este estudo mostra que as cooperações e parcerias entre diferentes atores e instituições, por meio da governança territorial, representam uma alternativa estratégica na implementação dos ODS. Com o intuito de verificar de que forma ocorreu o fomento a governança territorial no projeto Localizando os Objetivos de Desenvolvimento Sustentável no Brasil, tem-se como o objetivo geral: analisar o projeto Localizando os Objetivos de Desenvolvimento Sustentável no Brasil. Como específicos: contextualizar a atuação da CNM na implementação dos ODS nos municípios brasileiros, período 2016 a 2022; detalhar o projeto Localizando os Objetivos de Desenvolvimento Sustentável no Brasil; e identificar a indicação da governança territorial nos produtos do projeto em estudo. Essa pesquisa é um estudo de caso, que teve entrevistas semiestruturadas aplicadas com 13 pessoas, e interpretadas por meio da análise de conteúdo. Constatou-se que o projeto auxilia na implementação dos ODS nos municípios, com esclarecimentos, sugestão de metodologia, ferramenta de mensuração, entre outros. Identificou-se que nos dois guias há indicação do fomento a governança territorial para auxiliar na consecução dos ODS. Este artigo é a comunicação científica de resultados parciais da tese de doutoramento do autor1.
The Role of Traditional Chinese Medicine and Chinese Pharmacopoeia in the
Evaluation and Treatment of COVID-19
Authors: Gasmi Amin , Noor Sadaf , Dadar Maryam , Semenova Yuliya , Menzel Alain , Gasmi Benahmed Asma , Bjørklund Geir 
Published: March 2024

Abstract:
The epidemic prompted by COVID-19 continues to spread, causing a great risk to the general population's
safety and health. There are still no drugs capable of curing it. Severe Acute Respiratory Syndrome
(SARS) and Middle East Respiratory Syndrome (MERS) are the two other diseases caused by coronaviruses.
Traditional Chinese Medicine (TCM) showed benefits in treating SARS and MERS by preventing the disease
early, substantially mitigating symptoms, shortening the treatment period, and minimizing risks and adverse
reactions caused by hormone therapy. Although several vaccines have been developed and are being used for
the treatment of COVID-19, existing vaccines cannot provide complete protection against the virus due to the
rapid evolution and mutation of the virus, as mutated viral epitopes evade the vaccine’s target and decrease
the efficacy of vaccines. Thus, there is a need to develop alternative options. TCM has demonstrated positive
effects in the treatment of COVID-19. Previous research studies on TCM showed broad-spectrum antiviral
activity, offering a range of possibilities for their potential use against COVID-19. This study shed some light
on common TCM used for SARS and MERS outbreaks and their effective use for COVID-19 management.
This study provides new insights into COVID-19 drug discovery.
Revolutionizing Cancer Treatment: Harnessing Cell-membrane Coated Nanoparticles for Precise Targeting and Therapy
Authors: Waghode Pranali , Rao G S N Koteswara , Deshpande Sanika , Budha Roja Rani , Alavala Rajasekhar Reddy , Kovvasu Surya 
Published: March 2024

Abstract:
Cancer is still a significant worldwide health issue that requires novel techniques for diagnosis
and treatment. The complications associated with cancer are explored in this article, which also
introduces the novel concept of biomimetic nanoparticles as potential breakthrough in the fight
against the disease. The introduction gives a general review of cancer, explaining its complexity and
the underlying mechanisms that give rise to it. Epidemiological findings highlight the impact of cancer
on the entire world and the most extensively found cancer driving the demand for innovative therapeutic
approaches. A comprehensive review of the various cancer types follows with emphasis on
unique traits, diagnostic methods, and treatment modalities, highlighting the variety of difficulties.
An achievable path forward for targeted cancer therapy is the emerging science of biomimetic nanoparticles.
A thorough review of their many varieties and applications follows their introduction. These
nanoparticles’ inventive nature, which was inspired by biological systems, is highlighted by the explanation
of how they were synthesized. The focus is on biomimetic nanoparticles based on cancer cell
membranes as a novel means of medication administration and targeted therapy. Their use in the treatment
of cancer is being investigated, with an emphasis on their potential to improve therapeutic efficacy
and lessen side effects. Particularly noteworthy are the in-depth discussions of the unique difficulties
encountered in treating lung, breast, prostate, colon, colorectal, ovarian, leukemia, lymphoma, melanoma,
pancreatic, bladder, oral, gastric, hepatic, perihilar cholangiocarcinoma, and cervical cancers. The
article also mentions the various challenges which may occur during this entire process.
Exploring the Functional Roles of lncRNA-HOTAIR in Glioma: Unraveling its Impact on Tumor Progression
Authors: Moftakhar Arya , Khoshnam Seyed Esmaeil , Dayer Dian , Farzaneh Maryam 
Published: March 2024

Abstract:
Gliomas, a heterogeneous class of brain cancers, pose significant challenges as they are
considered incurable. They represent the most recurrent primary intracranial cancer and exhibit distinct
clinical and biological characteristics. Traditional treatment options for glioma include radiotherapy,
chemotherapy, and surgery; however, the emergence of molecular-targeted therapy has provided
a new avenue for improved therapeutic responses. One intriguing oncogene type of long noncoding
RNAs (lncRNAs) in glioma is the HOX Transcript Antisense RNA, commonly referred to as
HOTAIR. HOTAIR is characterized by its overexpression in various cancers and is situated in the
intergenic region between HOXC12 and HOXC11 of the HOXC cluster on chromosome 12. Its upregulation
in glioma has been found to be associated with tumor grade and plays a significant role in
disease progression. HOTAIR exerts vital functions in glioma, including promoting angiogenesis,
modulating glutamine catabolism, and influencing sensitivity to temozolomide (TMZ), a commonly
used chemotherapy drug. Knockdown of HOTAIR has been shown to suppress cell invasion, migration,
and proliferation, while inducing apoptosis, ultimately leading to tumor repression. HOTAIR
achieves its biological effects, by targeting specific microRNAs (miRNAs). In this review study, we
have summarized several signaling pathways that are intricately linked to HOTAIR in the context of
glioma. Understanding the mechanisms and interactions involving HOTAIR and these signaling
pathways may provide valuable insights for the development of targeted therapies and improved
management strategies for glioma. This review provides a summary of the potential roles of HOTAIR
in glioma, encompassing its effects in commercial cell lines, patient-derived cell lines, animal studies,
and clinical trials.
Deep Learning-based Thigh Muscle Investigation Using MRI For Prosthetic
Development for Patients Undergoing Total Knee Replacement (TKR)
Authors: Arunachalam Vinod , N Kumareshan 
Published: March 2024

Background:
A prosthetic device is designed based on the quantitative analysis of muscle MRI which will improve the muscle control achieved with functional
electrical stimulation/ guided robotic exoskeletons. Electromyography (EMG) provides muscle functionality information while MRI provides the
physiological and functionality of muscles. The sensor feedbacks were used for the bionic prosthesis, but the length of muscle using image
processing was not correlated

Objective:
To investigate and perform qualitative and quantitative assessment of thigh muscle using MRI. The objective of the work is to improve the existing
VAG signal classification method to diagnose abnormality using MRI for patients undergoing Total knee replacement (TKR).

Methods:
A deep learning method for qualitative and quantitative assessment of thigh muscle is done using MRI. In existing prosthetic devices, electrical
measurements of a person’s muscles are obtained using surface or implantable electrodes. Several methods were used for the classification and
diagnostic processes. The existing methods have drawbacks in feature extraction and require experts to design the system. This work combines
medical image processing and orthopaedic prosthetics to develop a therapeutic method.

Results & Discussion:
This design provides much more precise control of prosthetic limbs using the image processing technique. The hybrid CNN swarm-based method
measures the muscle structure and functions. Along with the sensor readings, these details are combined for prosthetic control. The implementation
was carried out in MATLAB, Sketchuppro, and Arduino IDE.

Conclusion:
A combined swarm intelligence and deep learning method were proposed for qualitative and quantitative assessment of thigh muscle. The
prosthetic device choice was done from the scanned MRI image like Humerus-T prosthetics, segmental prosthesis and arthrodesis prosthesis. The
investigation was done for the Total knee replacement (TKR) approach
Recurrent Pneumothorax in a Patient with Post-Tuberculosis Sequelae: A Case Report
Authors: Brama Bagus , Putra Wayan 
Published: March 2024

Introduction: Tuberculosis and its complications could lead to a condition with a high mortality and morbidity in which those complications include hemoptysis, pleural effusions, post tubercular lung disease and spontaneous pneumothorax. Pneumothorax in one possible complication in pulmonary tuberculosis with an incidence rate up to 1.5%.
Case: A 46 years old man came to emergency room due to shortness of breath that had been felt since one week before and worsened after lifting some weight things 30 minutes prior the admission, the shortness of breath was described as heavy sensation whenever patient breaths, this complaint was accompanied by pain in the right lung, he has a history of lung tuberculosis and had completed his treatment, radiology examination showed right pneumothorax and later patient was hospitalized for a week with Water Seal Drainage (WSD) placed in his right lung. One month later, patient came back to emergency room with the same symptoms and was hospitalized again, but this time, pleurodesis was done.
Discussion: Tuberculosis causes damage to lung structure, and disturb its function leaving a sequelae and causing disability called post-tuberculosis lung disease (PTLD). Secondary spontaneous pneumothorax is pneumothorax that occurring in a setting of underlying lung disease. Patients with SSP tolerate pneumothorax less well and display heavier symptoms, even if the pneumothorax is relatively small in size.
Conclusions: The inflammation and fibrosis process on Tuberculosis infection leaves a sequelae damage and increased the vulnerability of someone lung’s that could lead to many complications such as pneumothorax.
Key words: Pneumothorax, Post-Tuberculosis Sequelae, Recurrent.
Sixty Years of UGM Forestry Faculty’s Work in Preserving Indonesia’s Forests and Environment
Authors: Sunarta Sigit , Kaharuddin Kaharuddin , Budi Permadi Dwiko , Widiyatno Widiyatno , Widyorini Ragil , Dewi Greitta Kusuma , Susanti Ari , Mahayani Ni Putu Diana 
Published: March 2024

Given a mandate to preserve the Indonesia tropical forest through its education, research, and community service activities, the Faculty of Forestry Universitas Gadjah Mada (FoF UGM) has reached broad stakeholders to support sustainable forest management and climate mitigation (SDG 13 and 17). FoF UGM supports basic and applied research contributing to forestry industrialization (SDG 9), such as improved planting materials for Tectona grandis and Eucalyptus sp. In collaboration with the community (SDG 1 and 2), FoF UGM also diversifies kajuput essential oil produced in Wanagama and UGM teaching forests. Technology innovations such as glue and cross-laminated timber, biodiesel, information systems, and drone technologies for land rehabilitation and carbon accounting represent the institution's commitment to improving Indonesia's forest, forestry, community, and national economy (SDG 13 and 15).
DETERMINAN AKUNTABILITAS PENGELOLAAN DANA DESA DENGAN ASA TRI PANTANGAN SEBAGAI VARIABEL MODERASI
Authors: Ayem Sri , Suyanto Suyanto , Pratama Yhoga Heru , Oktaviani Rita 
Published: March 2024

Penelitian ini bertujuan untuk mengetahui pengaruh pemahaman akuntansi, pemahaman undang-undang dan sistem pengandalian internal desa terhadap akuntabilitas pengelolaan dana desa dengan asas tri pantangan sebagai variabel moderasi. Penelitian ini mengunkan metode deskriptif kuantitatif dan data primer dengan menggunakan kuesioner yang dibagikan secara langsung pada responden. Jumlah sampel dalam penelitian ini sebanyak 94 sampel dari 12 kantor desa di Kecamatan Salam Kabupaten Magelang. Pengambilan sampel menggunakan teknik purposive sampling yaitu teknik pengambilan sampel berdasarkan pertimvangan sasaran tertentu. Penelitian ini mendapat hasil bahwa pemahaman akuntansi tidak berpegaruh terhadap akuntabilitas sedangakan untuk pemahaman undang-undang dan sistem pengendalian internal berpengaruh positif terhadap akuntabilitas pengelolaan dana desa. Asas tri pantangan tidak dapat memoderasi pemahaman akuntansi, pemahaman undang-undang dan sistem pengendalian terhadap akuntabilitas pengelolaan dana desa.
ANALISA PENGARUH GAJI, LINGKUNGAN KERJA, PELATIHAN DAN PENGEMBANGAN TERHADAP KEPUASAN KARYAWAN PADA TONYS VILLAS & RESORT, SEMINYAK-BALI
Authors: Adiguna I Made Angga , Handoko Yunus , Maskan Moh 
Published: March 2024

Abstrak
Kemajuan dan keberlangsungan organisasi sangatlah ditentukan oleh unsur Sumber Daya Manusia. Karena Sumber Daya Manusia merupakan inti dari sebuah organisasi. Tujuan dari penelitian ini adalah untuk mengetahui apakah 1) Gaji berpengaruh secara parsial terhadap Kepuasan Karyawan, 2) Lingkungan Kerja berpengaruh secara parsial terhadap Kepuasan Karyawan, 3) Pelatihan dan pengembangan berpengaruh secara parsial terhadap Kepuasan Karyawan serta 4) apakah Gaji, Lingkungan Kerja, Pelatihan dan pengembangan berpengaruh secara simultan terhadap Kepuasan Karyawan pada Tonys Villas & Resort, Seminyak-Bali Penelitian ini menggunakan pendekatan deskriptif kuantitatif terhadap karyawan Tonys Villas & Resort, Seminyak-Bali. Populasi penelitian adalah karyawan kontrak Tonys Villas & Resort, Seminyak-Bali dengan sampel penelitian sebanyak 80 responden dengan menggunakan metode sensus atau sampel jenuh. Teknik analisis statistik inferensial menggunakan analisis regresi linier berganda dengan bantuan software SPSS.25.0. Instrumen tes yang digunakan adalah uji validitas dan reliabilitas dengan menggunakan pendekatan korelasi bivariate, analisis korelasi indikator terhadap konstruk menggunakan analisis konformatori faktor dan uji hipotesis. Hasil penelitian menunjukkan bahwa gaji, lingkungan kerja serta pelatihan dan pengembangan berpengaruh simultan terhadap kepuasan kerja karyawan, selanjutnya secara parsial ditemukan bahwa gaji serta pelatihan dan pengembangan berpengaruh terhadap kepuasan karyawan namun lingkungan kerja tidak berpengaruh terhadap kepuasan kerja karyawan pada Tonys Villas & Resort, Seminyak-Bali.
ANALISIS PREDIKSI FINANCIAL DISTRESS DENGAN MENGGUNAKAN MODEL ALTMAN Z-SCORE PADA UMKM DI PAMEKASAN
Authors: Romaniyah  , Alfian Nurul 
Published: March 2024

Perbuatan kecurangan (fraud) memiliki kaitan dengan kebangkrutan sebuah perusahaan. Manajemen akan terdorong untuk melakukan kecurangan laporan keuangan saat mengetahui bahwa perusahaan yang dikelola sedang mengalami financial distress. Tujuan dari penelitian ini untuk memprediksi kebangkrutan UMKM dengan menggunakan Model Altman Z-Score untuk memprediksi. Populasi pada penelitian ini adalah laporan keuangan seluruh UMKM di Pamekasan.sampel yang diambil dari populasi harus betul-betul representative (mewakili). UMKM yang terdaftar yang sesuai dengan kriteria yang dibuat merupakan sampel dalam penelitian ini. Teknik pengambilan sampel yang digunakan adalah purposive sampling. Hasil penelitian Model Altman Z-Score mampu memprediksi keadaan keuangan UMKM yang menjadi sampel pada penelitian ini. Tahun 2021 terdapat 7 UMKM yang diprediksi aman, 5 UMKM berada pada posisi abu-abu, dan 3 UMKM diprediksi akan mengalami kebangkrutan. Pada tahun 2021 dari total sampel 15 UMKM terdapat 12 UMKM yang tidak melakukan kecurangan atau fraud, hal ini menunjukkan bahwa perusahaan telah mampu menyajikan laporan keuangan tanpa membuat stakeholder megambil keputusan yang salah, artinya perusahaan tidak mementingkan keuntungan pribadinya melainkan menyampaikannya dengan sebenar-benarnya. pengukuran kedua variabel yaitu model Almant Z-Score Modifikasi dan model F-Score kemudian dapat dihubungkan apakah terdapat perusahaan yang terprediksi masuk dalam kategori zona bahaya (distress finance), yang berpotensi kemungkinan melakukan kecurangan laporan keuangan (fraudulent). Pada tahun 2021 menunjukkan dimana perusahaan dengan kode UPS, FCS dan UTPD juga masuk dalam zona bahaya dan masuk dalam indikasi kemungkinan melakukan kecurangan laporan keuangan (fraudulent).
Kata Kunci: Financial Distress, Altman Z-Score, UMKM
O Regime de Historicidade Distópico: tempo e natureza em Não Verás País Nenhum de Ignácio de Loyola Brandão
Authors: Lopes Alfredo Ricardo Silva , Silva Franco Santos Alves da 
Published: March 2024

O romance distópico Não Verás País Nenhum de Ignácio de Loyola Brandão representa de uma nova forma tempo e natureza no contexto da crise ambiental do final do século XX. Com base no Materialismo Histórico, a distopia é vinculada ao seu contexto de criação e representa de forma pessimista os medos e inseguranças de um determinado momento histórico. Assim, diante da atual crise ambiental e da percepção da finitude dos recursos naturais uma forma regressiva de compreender a passagem do tempo surge no final do século XX, o regime de historicidade distópico ambiental.