bluuebunny/crossref_metadata_2025_split huggingface dataset:
FLEKSIBILITAS ORGANISASI INTEGRATED CURRICULUM PADA MASA PANDEMI COVID-19 DI SEKOLAH DASAR
Authors: Imanulhaq Rela , Prastowo Andi 
Published: September 2024

Penelitan ini bertujuan untuk mendeskripsikan fleksibilitas integrated curriculum pada masa pandemi COVID-19 di sekolah dasar. Adanya kendala yang dialami oleh pendidik serta peserta didik dalam menerapkan integrated curriculum pada masa pandemi COVID-19 pada tingkat sekolah dasar menjadi latar belakang penelitian ini. Pendekatan yang digunakan yaitu kualitatf, dengan teknik wawancara dan dokumentasi, kemudian data tersebut dianalisis dan disajikan secara deskriptif. Teknik wawancara digunakan untuk mengetahui implementasi organisasi integrated curriculum di SD NU Darul Hikam.Terdapat dua informan yaitu wakil kepala sekolah yang juga bagian kurikulum, serta wali kelas 3 di SD NU Darul Hikam. Teknik dokumentasi dilakukan untuk mendapatkan data pendukung dalam pengimplementasian organisasi integrated curriculum di SD NU Darul Hikam. Hasil penelitan menunjukkan bahwa pengimplementasian organisasi integrated curriculum yang didampingi model kurikulum darurat pada masa pandemi covid-19 dapat mengatasi kendala yang ada dengan upaya-upaya pemerintah, satuan pendidikan serta lingkungan sekolah.
Systemic amyloidosis in a patient with acute heart failure
Authors: Shekhovtsova E. V. , Lukashik E. V. , Bogochanova O. A. , Kolonutov M. S. , Kudinova M. A. , Reznik E. V. 
Published: September 2024

Aim. To describe a clinical case of transthyretin amyloidosis, the first manifestation of which was an episode of acute heart failure.Materials and methods. Patient V., 58 years old, was taken to the intensive care unit for patients with myocardial infarction V.P. Demikhov State Clinical Hospital with a preliminary diagnosis: acute coronary syndrome without ST segment elevation, pulmonary edema. It is known from the anamnesis that the patient was disturbed for 3 months by a pronounced dry cough, hoarseness of voice, weakness with minor physical exertion.Results. The complexity of the diagnosis of postmortem diagnosis of systemic amyloidosis was explained by the absence of any clinical manifestations that made it possible to suspect a deadly disease before hospitalization for pulmonary edema. This clinical case demonstrates the rapid development of symptoms of systemic amyloidosis. From the moment of the first symptoms (persistent dry cough, hoarseness of voice) to death as a result of heart failure, about 3 months have passed. The addition of peripheral polyneuropathy to the clinical picture made it possible to suspect a systemic disease.Conclusion. This clinical case proves the relevance and importance of timely diagnosis of amyloidosis, as well as the need to raise awareness of doctors of various specialties about this disease.
Resolving the Variability Discrepancy between Peak Ground Acceleration and Spectral Stress Drop: Insight from Double-Corner-Frequency Spectra
Authors: Shimmoto Shota , Miyake Hiroe 
Published: September 2024

ABSTRACT
This study addresses a challenge in ground-motion prediction, in which the observed variability of spectral stress drop Δσfc estimated from corner frequencies is significantly larger than the between-event variability of peak ground acceleration (PGA) supported by ground-motion prediction equations. To tackle this issue, we performed spectral ratio analyses on 34 crustal earthquakes with Mw 5.0–7.1 in Japan. Initially, we employed the standard spectral ratio method to estimate the corner frequencies fc and the spectral stress drops Δσfc. This method assumes the single-corner-frequency (SCF) spectral model. Next, we introduce a two-stage spectral ratio method to obtain the double-corner-frequency (DCF) spectra. This method first estimates the corner frequency of the small events in advance using further smaller events and the standard method. Then, it computes the spectra of the target event using the spectra of the small events predicted from the SCF model with the estimated corner frequency. We fit the SCF model to the observed spectra to estimate a high-frequency-fitted corner frequency fch and calculate the corresponding spectral stress drops Δσfch, called the stress parameter. Our analyses reveal that the variability of Δσfch aligns with the observed PGA variability, in contrast to the Δσfc variability, which is significantly larger and consistent with findings in previous corner-frequency studies. Thus, at least regarding the spectral ratio approach, the discrepancy between spectral stress drop and PGA variabilities primarily stems from the difference in the Δσfc and Δσfch variabilities, attributed to the diversity in source spectral shapes. This study demonstrates that although source spectra for Mw 5.0 align with the SCF model on average, deviations from the SCF model become increasingly pronounced with larger magnitudes. The results emphasize the significance of implementing the DCF model for improved ground-motion predictions.
A Novel Approach to Automatically Digitize Analog Seismograms
Authors: Wang Maofa , Yang Fengshan , Liao Xin , Wang Bin , Gao Ke , Zhang Lu , Guo Wenheng , Jiang Jun , Yan BingChen , Xu Yanlin , Wan Quan 
Published: September 2024

Abstract
Before the widespread adoption of the digital seismographs, seismic records were stored in analog form on paper and manually read by analysts. These analog seismograms contained various useful information and were crucial for seismic research. To meet the demands of the modern computational analysis, researchers must digitize historical analog seismograms and extract information. In this article, we present a novel approach to automatically digitize analog seismograms. Initially, Otsu threshold segmentation was applied to the analog seismograms to remove underlying noise and improve their clarity. Subsequently, a novel dynamic distributed seismic waveform onset-point-search algorithm was implemented, which automatically locates the onset point of each seismic waveform baseline in analog seismograms and accurately determines the total number of seismic waveform curves. To address the complexity and diversity of seismic waveforms, we implemented an innovative seismic waveform classification algorithm that can distinguish between complex waveforms and smooth waveforms, and further implemented a new smooth waveform removal method to eliminate interference from smooth waveforms during complex waveform extraction. Then, we used a YOLOv9s-based model to identify time markers within the seismic waveforms for removal. In addition, in the seismic waveform digitization extraction and reconstruction phase, we implemented a novel method for extracting significant seismic waveform features and geometric restoration for peak and trough feature extraction and geometric restoration, as well as vertical feature extraction of seismic waveforms. Finally, we implemented a new waveform sequence integration and time mapping model, which can effectively reconstruct seismic waveform data based on the extracted features and map arrival times to each waveform point. Experiments have verified the significant superiority and stability of the methods implemented in this article for digitizing analog seismograms.
Enhancing Digital Literacy in Village Government for Effective SID Program Implementation
Authors: Rodiyah Isnaini , Bolanitan Zeyromita Oversi 
Published: September 2024

This study investigates digital literacy among village government officials in Kalisogo Tambak during the implementation of the Village Information System (SID) Program. Employing a descriptive analysis with a quantitative approach, data was gathered through observations, interviews, and questionnaires. The research focused on seven aspects of digital literacy, including knowledge assembly, information presentation, material comprehension, awareness of media importance, network access awareness, information filtering, and comfort with communication and information dissemination. Results indicate an overall strong digital literacy index among the village government apparatus, with the highest score in feeling comfortable and having broad access (77%) and the lowest in awareness of the importance of conventional media and its connection to internet media (70%). The findings underscore the need for targeted interventions to improve awareness in this specific aspect, offering valuable insights for enhancing integrated digital-based public services.
Highlight :

Integrated Digital Services: The study evaluates the digital literacy of Kalisogo Tambak's village government apparatus, providing insights into their proficiency in utilizing the SID Program for delivering integrated digital-based public services.

Dimension-specific Insights: Results reveal a notable proficiency in aspects such as feeling comfortable and having a wide range of access, emphasizing the need for tailored interventions to enhance awareness regarding the importance of conventional media and its linkage to internet media.

Strategic Improvement Recommendations: The research suggests targeted strategies for improving digital literacy among village officials, aiming to bolster their capabilities and ensure more effective utilization of the SID Program for enhanced public service delivery.

Keywords: Digital Literacy, Village Government, SID Program, Information Technology, Public Services
Empowering Community Protection Units (SATLINMAS) for Ensuring Security, Peace, and Order
Authors: Bhaskara Gasti Dias , Mursyidah Lailul 
Published: September 2024

This descriptive qualitative study investigates the empowerment of the Community Protection Unit (SATLINMAS) in fostering security, peace, and order in Sidoarjo Regency. Employing purposive sampling, data collection includes interviews, observation, and documentation. Analysis involves data collection, reduction, study, and conclusion drawing. The findings reveal suboptimal empowerment of SATLINMAS, as evidenced by the absence of key indicators. This study underscores the need for enhanced empowerment strategies to strengthen SATLINMAS' role in creating a secure and peaceful environment in Sidoarjo Regency.
Highlight :

The study assesses the effectiveness of SATLINMAS empowerment in fostering security and peace in Sidoarjo Regency.
Data collection involves interviews, observation, and documentation, utilizing purposive sampling for information determination.
Findings reveal suboptimal SATLINMAS empowerment, emphasizing the need for enhanced strategies to strengthen its role in maintaining a secure and peaceful environment

Keywords: SATLINMAS, Empowerment, Security, Peace, Sidoarjo Regency
Effectiveness of Patient Health Services at IPKT RSUD.
Authors: Kartikasari Trisnaning , Mursyidah Lailul 
Published: September 2024

The study "Quality of Patient Health Services at the Integrated Cancer Service Installation" conducted at a district general hospital aimed to assess the health service quality for cancer patients. The researchers used a descriptive qualitative method, including observation and interviews, and employed the theory of effectiveness by Parasuraman, Zeithami, and Berry (1988) with indicators such as tangibles, reliability, responsiveness, assurance, and empathy. The results indicated a need to increase facilities, good performance by the officers, and positive findings in terms of responsiveness, assurance (5S implementation), and empathy. The implication of the study is to highlight areas for improvement in health service quality for cancer patients. The title for the scientific article could be "Enhancing Cancer Patient Care: A Quality Assessment of Health Services."
Highlight :

The field of quality assessment in cancer care is relatively new, and investigators are just beginning to identify meaningful indicators of quality for many aspects
Cancer centers must assist their patients and families to comprehend the overall prognosis, benefits of treatments, and possible harms fully
The ability to distinguish high-quality from low-quality care across oncology practices remains a challenge

Keywords: cancer, health service quality, assessment, improvement, patients.
Nuclear Energy's Environmental Imperatives A Global Perspective
Authors: Nishonov Abdulloh Ubaydulloh o’g’li 
Published: September 2024

This study explores the requirements and prospects of utilizing nuclear energy amid the global energy crisis, focusing on environmental considerations, regulatory frameworks, and sustainable deployment strategies. Drawing on multidisciplinary approaches and insights from renowned scientists, it examines the environmental impact assessment measures, international agreements, and development prospects associated with nuclear energy. The findings underscore the importance of stringent environmental standards and sustainable deployment strategies for ensuring the viability of nuclear energy as a crucial component of the global energy mix, offering valuable insights for policymakers and stakeholders in the energy sector.
Highlights:

Comprehensive analysis of nuclear energy's environmental requirements.
Examination of international agreements regulating atomic energy.
Importance of sustainable deployment strategies amidst the global energy crisis.

Keywords: Atom Energy, Radiation Problems, Disaster, Harmful Emissions
Comparative Assessment of U-Net-Based Deep Learning Models for Segmenting Microfractures and Pore Spaces in Digital Rocks
Authors: Wang Hongsheng , Guo Ruichang , Dalton Laura E. , Crandall Dustin , Hosseini Seyyed A. , Fan Ming , Chen Cheng 
Published: September 2024

Summary
Segmentation of high-resolution X-ray microcomputed tomography (µCT) images is crucial in digital rock physics (DRP), affecting the characterization and analysis of microscale phenomena in the porous media. The complexity of geological structures and nonideal scanning conditions pose significant challenges to conventional image segmentation approaches. Motivated by the recent increasing popularity of deep learning (DL) techniques in image processing, this work undertakes a comparative study of DL models, specifically U-Net and its variants, for segmenting multiple targets with distinguished features in digital rocks, including discrete fracture networks (DFNs), pore spaces, and solid rock. Particularly, DFNs have a smaller volumetric fraction over others, bringing in a substantial challenge of imbalanced segmentation. The primary focus is to evaluate the architecture and feature enhancement strategies of various DL models, including U-Net, attention U-Net, residual U-Net, U-Net++, and residual U-Net++. The models were designed as 2.5D, utilizing a central 2D image and its two adjacent upper and lower 2D images as input to provide a pseudo-3D context. In addition, because the ground truth of segmentation was unknown for real-world digital rocks, we created a benchmark data set following the inverse operations of segmentation. The data synthesis started from the label images (i.e., solid rock, pore spaces, and DFNs), followed by simulating partial volume blurring, adding random background noise, and introducing ring artifacts to mimic real raw X-ray µCT images. The data set, which included various rock types (i.e., sandstone and artificial data), scanning resolution, and magnitudes of noise and artifacts, was divided into training and testing data sets with a 90% and 10% ratio, respectively. Moreover, in addition to the conventional pixel-wise evaluation metrics, the physics-based metric of the lattice-Boltzmann method (LBM) simulated permeability provided more comprehensive assessments. The results demonstrated that the residual connections, nested architectures, and redesigned skip connections contribute to the model performance and give the residual U-Net++ the highest accuracy. The improvements were mainly on the boundaries and small targets, especially the DFNs, which dominate the interconnectivity and therefore affect the permeability greatly. This study also rigorously evaluated the efficiency and generalization of each model, demonstrating that the sophisticated architectures achieved excellent practicability and maintained robust performance on completely unseen data, ensuring their suitability for diverse and challenging DRP applications.
The Impact of Axillary Lymph Node Dissection on the Prognosis of Breast Cancer Patients Undergoing Mastectomy with Sentinel Lymph Node Micrometastases
Authors: Ye Dengfeng , Ruan Guodong , Lin Yingli , Zhu Jianming , Li Zhian , Tu Chuanjian , DING WU 
Published: September 2024

Abstract

Introduction:
Traditionally, completion axillary lymph node dissection (ALND) has been standard for breast cancer patients with positive sentinel lymph nodes (SLNs). However, ALND poses risks of morbidity. Recent trials suggest omission of ALND may be safe in selected cases. Controversy exists regarding ALND omission in mastectomy patients with micrometastases.
Methods:
A retrospective study analyzed data from two databases: Shanghai Jiao Tong University Breast Cancer Data Base (SJTUBCDB) and the Surveillance, Epidemiology, and End Results (SEER) database. Patients with T1-2 breast cancer and SLN micrometastases undergoing mastectomy were included. Patients were stratified into Non-ALND and ALND groups. Clinicopathological factors and outcomes were compared.
Results:
Among 118 SJTUBCDB patients and 4,884 SEER patients, Non-ALND group exhibited non-inferiority in terms of recurrence-free survival (RFS), locoregional recurrence-free survival (LRFS), breast cancer-specific survival (BCSS), and overall survival (OS) compared to ALND group. Multivariable analysis identified predictors of survival outcomes.
Conclusion:
This study supports the omission of ALND in T1-2N1mi breast cancer patients undergoing mastectomy, demonstrating comparable survival outcomes to those undergoing ALND. Proper patient selection is essential for tailored treatment strategies.
Allergic bronchopulmonary mycosis due to Talaromyces marneffei: The first case report
Authors: Wang Xidong , Zhan Yangqing , Li Shaoqiang , Wan Yan , Liu Hongling , Sun Lan , Li Zhengtu , Qiu Ye , Ye Feng 
Published: September 2024

Abstract

Allergic bronchopulmonary mycosis (ABPM) is a hypersensitivity disease of the lower airways caused by environmental fungi. While Aspergillus fumigatus is the most common pathogen, there has been a gradual increase in the occurrence of ABPM caused by other fungi in the past 20 years. This case report presents the first case of ABPM associated with Talaromyces marneffei (TM). The patient had positive TM results on bronchoalveolar lavage fluid (BALF) culture and multiple metagenomic next-generation sequencing (mNGS), a total IgE level of 1155 IU/ml, an IgG antibody to Aspergillus level (> 500 AU/ml) that was considerably higher than normal, and CT with central bronchiectasis and mucous embolus. Combined with the patient's clinical symptoms, the diagnosis was TM-related ABPM. Subsequently, the patient achieved favourable therapeutic effects through oral corticosteroid treatment. This case shows us the possibility of noninvasive infection of TM in the lower respiratory tract, improves our understanding of ABPM, and provides a reference for the clinical diagnosis and treatment of the disease.
Factors Associated With the Intubation of Patients With Acute Respiratory Failure and Their Impact on Mortality: a Retrospective Cohort Study
Authors: Hohmann Fabio , Midega Thais , Treml Ricardo , Galindo Vinicius , Veiga Gabriele , Machado Isabelle , Kraft Maria Regina , Custódio Sávio , Paolinelli Eduardo , Galdino Felipe , Silva João Manoel 
Published: September 2024

Abstract

Introduction:
Severe respiratory failure often requires intubation and invasive mechanical ventilation. Identifying the factors that lead to this need is crucial, but there are few studies on the evolution of these factors from the onset of symptoms to respiratory failure. This study aims to identify risk factors for invasive mechanical ventilation as well as clinical outcomes in patients with acute respiratory failure considering the time from the onset of symptoms to respiratory failure.
Methods
Retrospective cohort study with patients hospitalized between May 1, 2020 and May 1, 2021. Patients over 18 years of age admitted to Intermediate and Intensive Care Units with positive polymerase chain reaction for SARS-CoV-2, chest computed tomography and inflammatory markers performed within 72 hours of admission were included. Patients with chronic obstructive pulmonary disease using home oxygen, intubation not related to Covid-19, heart failure, previous tracheostomy and hospitalization of less than 24 hours were excluded. The main outcome was to identify the factors that determined tracheal intubation and the evolution of these patients.
Results
Of the 852 patients treated, 302 were excluded, leaving 550, of which 346 required intubation. Intubated patients had a higher body mass index (p = 0.02), a higher SAPS-3 (p < 0.001) and a shorter time from symptom onset to hospitalization (p < 0.001). Until the eighth day of hospitalization, these patients had higher levels of C-Reactive Protein (p < 0.001), Interleukin-6 (p = 0.003) and D-dimer (p < 0.001). Chest computed tomography scans revealed a larger area of ​​lung injury since admission. In the Cox model, SAPS-3 (HR = 1.028, 95%CI 1.002–1.055, p = 0.038) and time to intubation (HR = 1.118, 95%CI 1.021–1.224, p = 0.016) were independent risk factors for mortality. Patients intubated 15 days after the onset of symptoms had a higher risk of mortality (OR = 2.13, 95% CI 1.07–4.23). At intubation, the average respiratory rate was 27.5 breaths per minute, with 85% of FiO2 and ROX index of 4.37. The use of non-invasive ventilatory support was longer in the quartile with more than 15 days until intubation (median of 5 [3–7] days) and the use of a high-flow nasal cannula was associated with a longer time to decide to intubate (p = 0.002).
Conclusion
In patients with Covid-19 and acute respiratory failure, later intubation was associated with higher mortality. Non-invasive ventilatory support strategies can be used as long as there is no delay in using an invasive strategy when necessary.