bluuebunny/crossref_metadata_2025_split huggingface dataset:
Viewing Body Memory Awareness as Self-Reflection
Authors: Pratama I Putu Oka Surya 
Published: January 2025

The process of self-control abilities contained in a person requires an important role in interaction with other people and the environment in order to form a mature self-control process. This is necessary because researchers try to apply body reflexes to self-control to find an emotional identity that gives rise to awareness, processes a person’s physical, psychological and behavioral traits, in other words a series of processes that shape one’s identity. Demonstrate full awareness of the impact of every action taken to achieve balance and calm in self-control without strong external control. Researchers try to apply the concept of Balinese culture, namely Sad Ripu. The harmony referred to here is the relationship between the elements in a practice. Based on the main Sad Ripu (six enemies) that exist within humans themselves. Researchers try to present it as an entertainment space in the art of dance. Proses kemampuan pengendalian diri yang terdapat pada seseorang memerlukan peranan penting interaksi dengan orang lain dan lingkungannya agar membentuk proses pengendalian diri yang matang, hal tersebut dibutuhkan karena peneliti mencoba menerapkan refleks tubuh pada sebuah pengendalian diri untuk mencari sebuah jati diri terhadap emosional yang memunculkan sebuah kesadaran, proses fisik, psikologis, dan perilaku seseorang, dengan kata lain serangkaian proses yang membentuk jati diri. Memperlihatkan kesadaran penuh akan dampak dari setiap tindakan yang diambil untuk mencapai keseimbangan dan kedamaian dalam pengendalian diri tanpa kendali eksternal yang kuat. Peneliti mencoba menerapkan konsep kebudayaan Bali yakni Sad ripu. Keselarasan yang dimaksud disini adalah bagaimana hubungan antara unsur-unsur yang ada pada sebuah laku. Berdasarkan dari Sad Ripu (enam musuh) utama yang ada di dalam diri manusia itu sendiri. Peneliti mencoba menghadirkan sebagai ruang pertunjukan dalam seni tari.
Effect of Magnesium Sulfate (MgSO4) Administration on Nitric Oxide and Prostacyclin Levels in Preeclampsia
Authors: Pangkahila Evert , Kade Yudi Saspriyana  , Clara Amanda  , Winty Septiani  
Published: January 2025

Introduction : Preeclampsia is a pregnancy-related syndrome with significant maternal and neonatal risks, affecting 4.6% of pregnancies globally. Its pathophysiology, linked to an imbalance between prostacyclin (a vasodilator) and thromboxane (a vasoconstrictor), remains poorly understood. Magnesium sulfate (MgSO4) is widely used for seizure prophylaxis in preeclampsia, but its effect on nitric oxide (NO) and prostacyclin levels is still debated.
Methods: This quasi-experimental study included 30 pregnant women diagnosed with severe preeclampsia. Baseline serum levels of NO and prostacyclin were measured before MgSO4 administration and re-evaluated after 24 hours of treatment. Changes in biomarker levels were assessed using paired t-tests, with a significance threshold of p < 0.05.
Results: The mean NO level increased from 35.2 ± 5.6 µmol/L before treatment to 49.8 ± 6.3 µmol/L after MgSO4 administration, showing a statistically significant difference (p < 0.001). Similarly, prostacyclin levels rose from a baseline of 42.1 ± 4.8 pg/mL to 58.7 ± 5.2 pg/mL post-treatment (p < 0.001). These findings suggest a robust enhancement of vasodilatory activity, supporting the role of MgSO4 in improving vascular endothelial function.
Conclusion: MgSO4 administration significantly increases NO and prostacyclin levels, demonstrating its efficacy in reducing vascular resistance in preeclamptic pregnancies. These results reinforce its clinical utility, offering a mechanistic insight into its vasodilatory and anti-convulsive properties.
Keywords: Preeclampsia, magnesium sulfate, nitric oxide, prostacyclin, vascular biomarkers
Clinical Profiles and Outcomes of Patients With Placenta Accreta Spectrum at Dr. M. Djamil Hospital, Padang During 2019 –2022
Authors: Sriyanti Roza , Sri Rahayu MK  
Published: January 2025

Objective: Placenta accreta spectrum (PAS) is one of the severe obstetric complications which can cause serious morbidity and mortality to both maternal and neonatal. The incidence of PAS increases globally because of the increasing rate of cesarean deliveries (CS). The aim of this study was to describe the clinical profiles and outcomes of patients with PAS during 2019-2022 at Dr. M. Djamil Hospital, Padang.
Method: This study was a retrospective descriptive study that had women with PAS who gave birth and referred to Dr. M. Djamil Hospital Padang, from January 2019-December 2022 as study participants. This study described clinical profiles, PAI score and USG findings and maternal neonatal outcomes of patients with PAS.
Result: One hundred eighty-seven cases were involved in this study. Most women with PAS aged ≥ 35 years (45%), parity 2 (47%), previous CS (96%), ≥ 2 times CS history (59%). A PAI score ≥ 5 has the higher proportion (66%) than a PAI score <5. There were still 53 patients (28%) who were admitted in intrapartum and postpartum. Most of the participants underwent hysterectomy (74%).
Conclusion: Advanced maternal age, multiparity, previous CS, and placenta previa were risk factors for PAS. PAI score, which combines previous CH hostory and USG findings in antenatal care, can assist in determining whether pregnant women have a high risk of PAS. Antenatal diagnosis and proper perioperative management in PAS are needed to optimize maternal and neonatal outcomes.
Keywords: Placenta accreta spectrum, clinical profiles, Outcomes
Evaluation of Clinical Characteristics and Predictors for Outcomes of In-Hospital Cardiac Arrest
Authors: Polyak Alexander , Tacon Phillip Ryan , Krom Zachary , Friedman Oren , Mirocha James , Matusov Yuri 
Published: January 2025

Objectives:
In-hospital cardiac arrest (IHCA) is a common event for hospitalized patients with high rates of morbidity among survivors. The goal of this study was to evaluate clinical characteristics and compare expected versus observed outcomes of IHCA.

Material and Methods:
This was a retrospective study. Patient characteristics, IHCA outcome (return of spontaneous circulation [ROSC]), and neurologic outcomes (favorable outcome defined as cerebral performance category [CPC] score of 1 or 2 at discharge) were collected. The Good Outcomes Following Attempted Resuscitation (GO-FAR) score was applied retrospectively to patients preceding cardiac arrest and compared to actual outcomes.

Results:
There was a significant association between GO-FAR score and survival to discharge (P = 0.001) and GO-FAR score and CPC score (P = 0.0001). There was also an association of shorter IHCA duration and CPC score (P = 0.03). There was no association between GO-FAR score and likelihood of ROSC (P = 0.30).

Conclusion:
The GO-FAR score has an association with favorable outcomes after IHCA and may help inpatient physicians prognosticate expected outcomes before IHCA.
Implementasi Teknologi Blockchain dalam Digital Marketing
Authors: Solechan Achmad , Abidin Rohmad 
Published: January 2025

This research was conducted because many parties feel that their privacy has been invaded as marketers. collecting internet user data. Some respondents were concerned about their privacy on the use of digital marketing, especially the abuse of their privacy related to user data. The size of the blockchain technology market worldwide in 2018 to 2025, where it is estimated that in 2025, the blockchain technology market will have a size of $ 39.7 billion. The graph shows the blockchain market prediction which also shows the adoption of the use of blockchain technology. Therefore, this study aims to determine the implementation of blockchain in the world of digital marketing in a literature review study. This study uses a qualitative method with a literature review technique with the results discussing 26 published research articles relevant to this research. The research results show that blockchain has great potential in digital marketing, especially in increasing trust, transparency, and efficiency. However, the adoption of this technology faces challenges in the form of technological literacy and significant investment. A mature implementation strategy is needed to fully utilize the potential of blockchain in the digital marketing sector.
The Crack Propagation in Different Rock Types: A Comparative Seismic Simulation
Authors: Mughieda Omer , Kaiwaan Abdulhai , Azimi Sayed Javid , Namdar Abdoullah , Liu Yuyi , Alzaylaie Marwan 
Published: January 2025

The presence of a preexisting crack in a rock can affect its stability during seismic events, leading to reduced strength and stiffness. This study, which aims to examine how different types of preexisting fracture angles and the mechanical properties of the rock impact real-time cracking propagation modes and crack propagation shape, has practical implications. The researchers used ABAQUS software to apply simulated seismic loading to their model and studied crack propagation using the extended finite element method (XFEM). They found that the crack propagation shape and real-time cracking propagation vary based on the preexisting fracture angles and the mechanical properties of the rock. Additionally, they observed a significant relationship between strain leading to nonlinear deformations and the mechanical properties and fracture seismic toughness mechanism. These findings can be applied to improve the prediction of failure mechanisms in rocks with different crack shapes and could potentially enhance seismic response simulation and geotechnical earthquake engineering codes. The numerical simulation results were validated and compared to existing literature, further highlighting the practical applications of this study's findings. Doi: 10.28991/CEJ-2025-011-01-01 Full Text: PDF
Shaking-Table Test on a Multi-Story Continuous Vibration-Control System Employing Pulley Amplification Mechanism
Authors: Majima Ryo , Yamasaki Yasuo , Saito Taiki 
Published: January 2025

This study proposes an innovative passive vibration-control system, named the Pulley Damper Multi-story System (PDMAS), which incorporates pulley tackles installed at multiple stories in the successive stories to amplify inter-story displacement. This configuration significantly enhances the energy absorption efficiency of the linked dampers at the middle of the cable by utilizing the cumulatively amplified story displacements via a continuously stretched cable across the entire structure. The proposed system shows notable potential for controlling responses induced by higher vibration modes by customizing the wire installation layout. The aim of this study is to introduce PDMAS and to investigate its seismic-mitigation effectiveness. As a primary investigation of this new system, comparative experimental studies were conducted through shaking-table tests on nine specimens featuring various cable layouts optimized for the first and second structural vibration modes, with or without dampers, under harmonic waves, white-noise waves, and simulated seismic waves. The experimental results demonstrate that the PDMAS effectively accommodates the cumulative amplified story displacement across the structure to match theoretical damper values. Furthermore, the specimens employing PDMAS with a wire layout optimized for the first structural mode reduced both acceleration and displacement by nearly half compared to specimens without PDMAS. Doi: 10.28991/CEJ-2025-011-01-02 Full Text: PDF
A Novel Steel Lazy Wave Riser Configuration for Ultra-Deepwater
Authors: Haoran Chen , Karuppanan Saravanan , Perumal Veeradasan , Ovinis Mark , Lim Frank , Kumar Suria Devi Vijaya 
Published: January 2025

A steel lazy wave riser (SLWR) configuration combines buoyancy modules with a traditional steel catenary riser (SCR). The buoyancy section at the riser separates the floater's motion and acts as a damper toward the critical area in the touchdown point, improving the strength and fatigue performance. In ultra-deepwater environments, the substantial payload of risers due to extreme riser length imposes considerable tension and stress, challenging the limits of traditional configurations such as SLWR and SCR. The effective tension, maximum stress, and minimum bend radius at ultra-deep depths of these conventional risers would exceed the allowable limits, leading to potential structural failure. To address these limitations, this study proposes a novel riser configuration, the shaped steel lazy wave riser (SSLWR), specifically for ultra-deepwater conditions. By introducing an additional buoy section, SSLWR effectively reduces the effective tension while ensuring allowable stress distribution across the riser length, enhancing structural reliability and operational feasibility over traditional risers. OrcaFlex, a fully 3D non-linear finite element software widely used in maritime structure analysis, was used to simulate the effective tension, maximum stress, and minimum bend radius of the SCR, SLWR, and SSLWR configurations at 3000 m depth. The SSLWR shows a maximum effective tension that is less than half of that observed in the SCR, and it remains consistently lower than SCR and SLWR, suggesting that SSLWR holds promise as a robust alternative for ultra-deepwater applications. This study offers new insights into how modifying riser shape and buoy placement can effectively balance tension reduction with stress distribution, providing an alternative to traditional riser designs. The SSLWR's specific responses to buoy placements and varying currents expand an understanding of riser performance under varying conditions, guiding future advancements in offshore riser engineering. Doi: 10.28991/CEJ-2025-011-01-03 Full Text: PDF
Assessment for Evaluation of Local Roads Based on Infrastructure Data and Budget Allocation
Authors: Meriana Desi , Subagio Bambang S. , Najid . 
Published: January 2025

Technical criteria are one of the determining factors in calculating the technical index amount of the allocation budget for road infrastructure. The technical criteria include pavement deterioration, bridge condition, road performance, local budget allocation for road capital expenditure, allocation of local budget government for routine maintenance of roads, e-monitoring reporting, and SHP map reporting. Evaluation is required to determine the influence of each of these criteria and highlight the importance of comprehensive and continuous data testing to provide an overview of road infrastructure data and budget allocations. This study aims to analyze the influence of each technical criterion based on infrastructure data and the allocation of funding for local road maintenance in Indonesia. Two regression methods, Multiple Linear Regression with Dummy (MLRD) and Binary Logistic Regression (BLR), were used to identify and evaluate each variable and the potential of the resulting criteria. The results show that pavement deterioration (PD) and road performance (RP) are the criteria that significantly influence the assessment of infrastructure data and are the best models. This finding highlights the need for comprehensive data testing to provide an accurate overview of local road infrastructure from the data submitted by local governments to the central government. Doi: 10.28991/CEJ-2025-011-01-04 Full Text: PDF
Assessment of Urban Changes at the Residential Neighbourhood Level Based on Satellite Imageries
Authors: Kadhim Nada , Salih Nabil M. 
Published: January 2025

Ongoing urban expansion leads to the steady loss of green spaces. Residential units' gardens and green open spaces are a vital part of city life, contributing considerably to urban green infrastructure and ecological services. However, these areas are diverse, making it difficult to assess their changes over time to take advantage of their benefits and contribution to sustainable urban development. This study proposes a new methodology that combines survey data with high-resolution image analysis to construct maps and statistics of change in two residential neighbourhood areas in the Iraqi city of Baqubah. Three change detection techniques utilising very high-resolution multispectral Pléiades images were used to evaluate the changes: pixel value differencing, band index differencing, and categorical change detection. Then, a unique strategy employing geo-processing processes by the ModelBuilder tool was applied to the evaluation outcomes to assess the changes in a final manner. In addition to survey data that supported the final change detection outcomes, study validation was conducted through field verification, and the mean accuracy was 93%. The final results indicated that open or green spaces decreased over a period of seven years at rates of 24% and 14% of the total of both areas assessed. Policymakers and urban planners see such privately owned land as difficult to affect. However, reducing vegetative cover areas and turning them into impermeable surfaces may result in the areas becoming inefficient in the development of urban sustainability. Our developed method demonstrates the capability of utilising Very High Resolution (VHR) imagery with local survey data to accurately infer changes in urban vegetation within residential neighbourhood regions. Doi: 10.28991/CEJ-2025-011-01-05 Full Text: PDF
Benchmarking Classical and Deep Machine Learning Models for Predicting Hot Mix Asphalt Dynamic Modulus
Authors: Zeiada Waleed , Obaid Lubna , El-Badawy Sherif , Abd El-Hakim Ragaa , Awed Ahmed 
Published: January 2025

The dynamic modulus (|E*|) of hot-mix asphalt (HMA) is a crucial mechanistic characteristic essential in defining the strain response of asphalt concrete (AC) mixtures under varying loading rates and temperatures. This paper aims to conduct a comprehensive investigation of classical machine learning (ML) and deep learning (DL) algorithms as applied to the prediction of |E*| and compare their performance with renowned |E*| regression models (Witczak NCHRP 1-37A, Witczak NCHRP 1-40D, and Hirsch). Eight state-of-the-art ML and DL algorithms are attempted with diverse structures, including multiple linear regression (MLR), decision trees (DT), support vector regression (SVR), ensemble trees (ET), Gaussian process regression (GPR), artificial neural networks (ANN), recurrent neural networks (RNN), and convolutional neural networks (CNN). A comprehensive database was assembled, incorporating 50 AC mixtures, of which 25 were from the Kingdom of Saudi Arabia and 25 were from the state of Idaho, USA. This database encompasses an extensive dataset of 3,720 |E*| measurements, associated with thirteen input features representing the proposed AC mixtures’ aggregate gradations, binder characteristics, and volumetric properties. This pioneering study surpasses existing research by examining various algorithms to predict |E*| on the same dataset, applying them with different structures and individual optimization to achieve optimal performance. The developed models are evaluated based on multi-stage assessment criteria, including the accuracy and complexity performance measures and rationality based on a sensitivity analysis. The multi-stage comparative analysis results reveal that the bagging ETs, GPR with exponential kernel, and DT record the highest prediction accuracy; however, only the bagging ETs yield the highest accuracy, lowest training and testing complexity, and rational trends throughout the sensitivity analysis. The research outcome has the potential to provide pavement engineers with advanced tools for predicting |E*| and, therefore, optimizing pavement designs and rehabilitations. Doi: 10.28991/CEJ-2025-011-01-06 Full Text: PDF
Interaction of Life Cycle Assessment (LCA) and BIM in a Construction Project to Reduce the Environmental Footprint
Authors: Osorio-Gómez Cristian C. , Alzate-Buitrago Alejandro , Amariles-López Cristhian C. , Aristizábal-Torres Daniel , Mancilla-Rico Edwin A. 
Published: January 2025

The construction sector is experiencing rapid growth in response to the increasing demand for new projects that address societal needs, making it one of the most significant contributors to greenhouse gas emissions. Therefore, it is essential to develop more sustainable and efficient construction processes that reduce the environmental impact in the sector. This study focuses on assessing the environmental footprint of a residential project in Colombia, based on the implementation of Building Information Modeling (BIM) with a sustainability focus. A Life Cycle Assessment (LCA) was performed using the "One Click LCA" software, where the characteristics of the building over a 50-year period were inserted and evaluated. The study determined the building’s environmental impacts and direct pollutant emissions, including global warming (CO2e), acidification (SO2e), eutrophication (PO4e), and ozone depletion (CFC), among others. The results were analyzed by evaluating their magnitude and criticality. One of the main findings was the emission of 1.49E+06 kg of CO2, which directly impacts global warming significantly. This LCA-BIM approach provides a transparent methodology for construction companies in Latin America to implement projects with a lower environmental impact, promoting sustainable practices within the industry. Doi: 10.28991/CEJ-2025-011-01-08 Full Text: PDF
Editorial
Authors: Waras Nurcholis  
Published: January 2025

Puji dan syukur kami panjatkan kepada Tuhan Yang Maha Esa atas rahmat dan hidayahNya, Jurnal Jamu Indonesia Volume 7 No 3 tahun 2022 dapat diterbitkan. Jurnal Jamu Indonesia merupakan media untuk diseminasi hasil penelitian yang berkaitan dengan jamu di Indonesia. Jamu telah dikenal lama penduduk Indonesia sebagai salah satu pengobatan. Berbagai tanaman di Indonesia sangat berpotensi sebagai jamu. Penelitian tanaman obat dari bagian daun, batang, dan rimpang tanaman telah banyak dilakukan dan terus berkembang.
Jurnal Jamu Indonesia pada Volume 7 No 3 Tahun 2022 terdiri atas 5 naskah. Naskah diterbitkan memiliki tema beragam, meliputi: Identifikasi Pemalsuan Kumis Kucing Dari Babadotan Dan Tekelan Menggunakan Machine Learning; Kapasitas Antioksidan, Kadar Fenolik, dan Flavonoid Total Ekstrak Air dan Etanol Kumis Kucing (Orthosiphon aristatus); Program Pemanfaatan Lahan Kosong Fasilitas Umum untuk Taman Terapi Mandiri Diabetes Mellitus di Desa Benteng Kabupaten Bogor; Skrining Fitokimia, Antioksidan, dan Antibakteri Ekstrak Daun Orthosiphon stamineus Dua Fenotipe dan Aktivitas Antidiabetes Ekstrak Kulit Buah Salak Manonjaya dengan Ikan Zebra (Danio rerio) Sebagai Hewan Model.
Redaksi mengucapkan terima kasih kepada seluruh penulis atas partisipasinya dalam berbagi hasil penelitiannya melalui publikasi di Jurnal Jamu Indonesia. Redaksi juga mengucapkan terima kasih kepada seluruh reviewer atas partisipasinya dalam meningkatkan kualitas tulisan naskah jurnal di edisi ini. Semua hasil karya tersebut akan diarsipkan sebagai dokumentasi berharga demi terjaganya informasi yang dapat menjadi sumber pengembangan ilmu pengetahuan di masa depan. Kontribusi publikasi peneliti-peneliti dan pejuang Jamu Indonesia terus kami harapkan untuk dapat disampaikan di dalam Jurnal Jamu Indonesia ini. Peningkatan kontribusi jumlah dan kualitas tulisan yang telah dan akan dimasukkan akan dapat membantu pengembangan jurnal ini, dan pada saatnya diharapkan juga dapat menjadikan Jurnal Jamu Indonesia menjadi referensi baik secara nasional, maupun internasional.

Desember 2022Waras NurcholisWakil Ketua Dewan Redaksi