bluuebunny/crossref_metadata_2025 huggingface dataset:
Toward Sustainable Mining: Repurposing Benguerir’s Phosphate Mine Waste Rock for Road Subgrade Construction
Authors: Inabi Omar , Khalil Abdessamad , Benzaazoua Mostafa , Taha Yassine
Published: January 2025

Natural aggregates are widely consumed worldwide by the road construction industry. Particularly in the phosphate sector, reducing industrial waste and conserving non-renewable natural resources can be achieved by utilizing unusual industrial wastes and by-products in road construction procedures. Road construction may find use for Phosphate Mine Waste Rocks (PMWR) as an alternate secondary raw material source. However, there are currently limitations on the use and valuation of these materials due to the Moroccan Guide for Road Earthworks (GMTR), which classifies them as waste products and so unsuitable for use in road building. Phosphate waste rocks are naturally existing sedimentary rocks that have mainly been mechanically fragmented, despite their designation. The purpose of this study is to assess PMWR’s essential characteristics for application in road construction. At the Moroccan phosphate mine location of Benguerir, samples have been collected from screening stockpiles. Then, using international testing standards, environmental and health behaviours, chemical, mineralogical, physical, and geotechnical behaviours, these samples were analysed. The materials’ suitability for use in subgrade layer was validated by laboratory and field experiments, hence allowing for their reclassification as conventional materials.
Internet of Things Technology for an Autonomous Photovoltaic Solar Energy System Monitoring
Authors: Mimouni Abdelmalek , Chahet Youssef , El Amrani Aumeur , El Amraoui Mohamed , Bejjit Lahcen
Published: January 2025

This work presents a Photovoltaic (PV) monitoring system using the Internet of Things (IoT). It provides a detailed overview of the key steps involved in designing the IoT-based PV monitoring system, examining the specific architectural components, including different system layers, potential software and hardware platforms, and communication network technologies used in the IoT-integrated PV system. Additionally, it discusses the existing challenges and issues of IoT-based PV monitoring systems. Furthermore, it proposes a low-cost monitoring system designed to monitor a PV system consisting of a PV module, a DC-DC boost converter, and a load.
Enhancing Crossdocking for a Green Supply Chain Based on IoT and AI
Authors: Raziq Ayoub , El Khaili Mohamed , Zamma Abdellah
Published: January 2025

In the realm of supply chain management, the integration of sustainable practices alongside competitive efficiency is increasingly crucial. This study explores the convergence of cross-docking methodologies with advanced technologies such as IoT and AI to enhance the sustainability of supply chains. Cross-docking, known for its direct transfer approach, minimizes storage duration and operational costs, potentially reducing environmental footprints associated with traditional logistics. Concurrently, IoT enables real-time monitoring of goods and environmental parameters, while AI-driven analytics optimize logistics operations with precision. This integrated approach not only enhances operational efficiency but also underscores the pivotal role of technological innovation in fostering sustainable supply chain practices. Insights from this study contribute to advancing sustainable logistics strategies tailored to contemporary environmental imperatives and industrial competitiveness.
Design of a photovoltaic fast-charging station for electric three wheelers vehicles in West Africa
Authors: Thiam Ababacar , Ndiaye Serigne Mourtalla , Ndiaye Mouhamadou Fadilou , Ka Ibrahima
Published: January 2025

Electric tricycles are one of the most promising options for reducing CO2 emissions in sub-Saharan Africa, with lower energy requirements. They are also suitable for transporting passengers and goods in rural areas of sub-Saharan Africa, where urbanization is rife. The lack of recharging infrastructure is holding back the development of tricycles. This paper proposes a methodology for the design of a photovoltaic (PV)-battery stand-alone fast charging station for electric tricycles in Thienaba, Senegal. An ultra-fast charging station powered by photovoltaic panels was designed, modelled and simulated using the Matlab/Simulink platform. The results of this work gave a photovoltaic array with a peak power equal to 45 kW. At least, eight tricycles can be charged between 11 am and 2 pm. At the same time, the storage system can be charged up to 70% of its total charge.
2D Motions Response Analysis of Floating Offshore Wind Turbine with Various Barge Shapes
Authors: Mahmuddin Faisal , Putra Nurhalim Dwi , Klara Syerly
Published: January 2025

Indonesia has the potential to develop floating wind turbines at sea. Therefore, its movement response needs to be analyzed to ensure that the turbine works properly. This research aims to determine the floating offshore wind turbine barge’s movement response with different floater shapes to regular waves from three different directions (0°, 45°, 90°). The movement response of the floating wind turbine was analyzed using the diffraction and radiation analysis methods in Ansys Aqwa. The research results include the RAO curve for the structure in a couple of two degrees of freedom (heave-pitch) combined with 2-dimensional analyses. The motion response of the floater cube has a maximum value heave motion 0.999 m/m and pitch motion 2.228 °/m, and, the cylindrical shape has a heave motion 1.132 m/m and pitch 10.050 °/m. Lastly, the octagonal has a heave motion 1.010 m/m and pitch 2.565 °/m. The shape and volume of each model affect the response value obtained. The simulation results in this paper can provide considerations in selecting the right floater shape to be used as a wind turbine floater foundation.
Adsorption of brilliant cresyl blue using NaOH-activated biochar derived from sewage sludge
Authors: Ben Ali Majda , Bakhtaoui Yassmina , Flayou Majda , El Hazzat Mouatamid , Sifou Aicha , Dahhou Mohammed , Kacimi Mohammed , Benzaouak Abdellah , El Hamidi Adnane
Published: January 2025

The treatment of sewage wastewater generates a substantial amount of sludge, which poses significant ecotoxicological and environmental challenges. Managing this sludge is critical, as traditional disposal methods carry risks: agricultural use can lead to environmental contamination, while landfill disposal raises concerns about solid waste management and the preservation of landfill sites. Our research focuses on converting this urban sludge into activated carbon. We employed various techniques to characterize NaOH-activated biochar, including infrared (IR) analysis. BET analysis revealed a specific surface area of 62.35 m2/g. We also assessed NaOH-activated biochar for its effectiveness in adsorbing brilliant cresyl bleu (BCB). The SSE error calculations indicated a first-order adsorption, while the isotherms suggested a better fit with the Sips model, indicating heterogeneous adsorption with an ns value of 0.95. Our study highlights the effectiveness of biochar in adsorbing dyes such as brilliant cresyl bleu BCB.
Automatic Transfer Switch (ATS) for Floating Lift Net Powered by Hybrid Energy Source
Authors: Hariyanto Surya , Lobo’ Darmin , Mahmuddin Faisal , Klara Syerly
Published: January 2025

The increasing demand for renewable energy as an alternative to fossil fuels has driven innovations in hybrid power systems. This study focuses on optimizing a hybrid energy system for a floating lift net utilizing solar panels (photovoltaic) and a backup generator managed by an Automatic Transfer Switch (ATS). The ATS system is designed to automatically switch to the backup generator when the primary photovoltaic system drops below a preset voltage threshold of 10V. Additionally, a Visual Basic monitoring system was developed to track key parameters, including battery capacity and the output voltage from both the main and backup systems. The results show significant fuel savings and reliable energy supply using the hybrid system on a floating lift net.
Hybrid Cryptography Based on Planets: Phobos & Deimos
Authors: Kraicha Ayoub , Touil Hamza , El Akkad Nabil
Published: January 2025

Data protection is now a top priority for organizations, especially with the evolution of information systems and the challenges posed by modern technology. Remote access has become essential for business continuity but also introduces significant security risks. To address these issues, it is crucial to innovate in cryptography, the backbone of data security. This document presents the Phobos and Deimos encryption method, inspired by Mars’ moons. By using the unique orbital properties of Phobos and Deimos, this method creates a dynamic encryption algorithm. The approach involves dividing the alphabet into groups and applying shifting techniques based on Deimos’ positions, enhancing data security through increased complexity. The Phobos and Deimos encryption method aims to provide a robust solution for safeguarding sensitive information, ensuring confidentiality, integrity, and authenticity in today’s digital landscape.
Creating Semantic Learner Groups in Distance Education Using the GraphSAGE approach
Authors: Chetoui Ismail , El Bachari Essaid , Ait Lahcen Yassine
Published: January 2025

In this article, we present a novel approach for creating semantic groups of learners in an educational platform using Graph Neural Networks (GNN) and GraphSAGE. The increasing availability of educational data necessitates advanced methodologies to enhance personalized learning experiences. Traditional techniques often fall short in capturing the complex relationships inherent in such data. To address this, we leverage GraphSAGE, an inductive framework, to generate meaningful embeddings that represent the diverse attributes and interactions of learners within the educational network. By sampling and aggregating information from the local neighborhoods of each learner, GraphSAGE effectively captures both individual and group-level learning patterns. These embeddings are then utilized to form semantic groups of learners, facilitating personalized recommendations, collaborative learning, and targeted interventions. Our approach demonstrates significant improvements in the ability to identify and cluster learners with similar learning behaviors and needs, thereby enhancing the overall educational experience. The results, evaluated on a comprehensive educational dataset, underscore the potential of GraphSAGE in transforming educational data into actionable insights for semantic group creation.
Evaluating Summer Neutral Temperature and Land Surface Temperature Trends Over Three Decades in Tetuan, Morocco Using Thermal Comfort Questionnaires
Authors: Ahsissene Safae , Rhziel Fatima Zahrae , Raissouni Naoufal
Published: January 2025

This study investigates the evolution of summer neutral temperatures and land surface temperature (LST) trends in Tetuan, Morocco, over three decades using data from thermal comfort questionnaires. Integrating subjective assessments with objective temperature data, we identify significant shifts in neutral temperatures influenced by climate change. Analysis of thermal sensation votes from 423 respondents relative to recorded temperatures has allowed for the development of neutral temperature thresholds. These findings contribute to a comprehensive model of urban thermal dynamics, highlighting the impact of temperature variability on urban planning and public health strategies. The unique juxtaposition of subjective thermal perceptions and objective data not only maps the adaptability of urban populations to changing climates but also aids in formulating strategies to enhance thermal comfort in Mediterranean urban settings.
Evaluation of critical factors for typhoon-triggered landslide and subsequent debris flow in the Philippines using physically based models
Authors: Christian Gaviola John , Chieh Chao Kuo , Bencure Jannet
Published: January 2025

This study employs physically based modeling techniques to evaluate factors that triggered the catastrophic landslide that occurred in Kantagnos Village, Baybay City, Leyte, Philippines, during Typhoon Megi in 2022. The TRIGRS and DEBRIS-2D models simulated transient infiltration effects from four days of continuous rainfall, assessing pore water pressure changes and delineating hazard zones. Parametric analyses on critical parameters—such as fstrength characteristics, soil thickness, and water table conditions—were conducted to predict spatiotemporal changes in the factor of safety. The results of the analyses indicated that the accuracy of the model could reach up to 79.23%, as evaluated by receiver operating characteristic analysis, with area zoning based on bedding plane orientation improving this by 8.23%. DEBRIS-2D effectively simulated debris flow motion and deposition areas validated against field observations. The combined use of TRIGRS and DEBRIS-2D delineated hazard zones, with 93.97% of the area within the actual debris flow boundary predicted. Key parameters, including slope geometry, material yield stress, and the quality of the digital terrain model, are crucial for predicting debris flow distance and velocity. These findings offer a valuable benchmark for developing a framework for slope disaster analysis and risk management in the region.
AHP-based geospatial analysis for landslide susceptibility zonation in Wayanad District
Authors: Irshad Tharayil , T Harikrishnan , Bose Mahalingam , Kurniati Titi
Published: January 2025

Landslide susceptibility zonation mapping is a decision-making process that entirely depends upon the land use and land cover changes from one point to another. The accuracy and precision of the study related to the quality of the parameters used to determine the occurrence and intensity of the landslides. This study acquired secondary data from Landsat-8 satellite images and GSI (Geological Survey of India). The landslide conditioning factor was assigned with the help of the semi-quantitative Analytical Hierarchy Process (AHP) Technique. In this current study, 13 parameters were analyzed. Each parameter is responsible for landslides in a low or high influence grade. Each parameter was designed to have a particular weight based on its influence on landslide occurrence. Rainfall is the prime factor for the landslides in the Wayanad district. The final landslide susceptibility zonation map was validated using appropriate mathematical treatment to check their correctness with the help of landslide inventory points.
Banda Bekali and local knowledge in flood management: 100 years of social and environmental interaction in Padang City
Authors: Handrian Ginting Jonson , Afrida  , Arifin Zainal
Published: January 2025

Floods have plagued Padang City for centuries, with severe events recorded almost annually between 1890 and the early 20th century, peaking in 1904. The damages during that period reportedly reached two million guilders. In response, the Dutch East Indies colonial government constructed the Banda Bekali canal system to mitigate flood risks. While the canal has reduced the severity of flooding, it remains a persistent issue in the city. This study, marking over 100 years since Banda Bekali’s establishment, examines the canal’s role in flood management. Using a qualitative-descriptive approach, the research focuses on the canal’s sections in Padang, selecting informants through purposive sampling based on age, gender, and societal roles. Data collection includes observations, in-depth interviews, and literature reviews. The study aims to understand the community’s interaction with the canal and the local knowledge surrounding flood control. It explores the Minangkabau people’s flood and disaster management systems and reflects on the 100-year history of Banda Bekali as a mitigation strategy. Through triangulation, this research hopes to contribute to improved flood disaster management strategies in Padang, drawing on both historical analysis and contemporary local knowledge.
Minangkabau local wisdom: The philosophy of
aua jo tabiang sanda basanda in disaster mitigation along the watershed (DAS)
Authors: Abbas Ardi , Maideliza Tesri , Alfitri  , Agus Syahputra Fendi
Published: January 2025

The number of events and losses due to disasters along the West Sumatra Watershed in 2022 is large. Damage to roads, bridges and other buildings has caused many material and non-material losses. If material losses can be calculated clearly, carefully, the components of the loss and set the numbers. Non- material losses tend to be greater because many aspects of life are interrelated. Data on the number of rivers in regencies and cities in West Sumatra are also numerous and further increase the potential for disaster damage. Meanwhile, Minangkabau local wisdom, known as the philosophy of aua jo tabiang sanda basanda or translated as bamboo and river cliffs lean on each other, complement and strengthen from river water scouring. This local wisdom has been understood, applied and proven over a long period of time. This paper would like to discuss this Minangkabau local wisdom as a scour barrier along the watershed. In many cases it has been shown that bamboo piles are more economical, compared to concrete and modular piles. In addition to being more economical, they also provide additional income for the surrounding community. Isn’t prevention better than repair?
Innovative capacity building strategies for sustainable disaster risk management: A systematic review, conceptual framework, and future research directions
Authors: Saputra Nika , Ekha Putera Roni , Zetra Aidinil , Azwar
Published: January 2025

This systematic review examines innovative strategies for capacity building in sustainable disaster risk management (DRM). A review of 63 peer-reviewed articles, published between 2010 and 2024, was conducted using Scopus. The articles were analyzed to identify key themes related to technological innovations, community initiatives, and interdisciplinary approaches. Findings show that advancements in machine learning, Geographic Information Systems (GIS), and Information and Communication Technologies (ICT) significantly enhance DRM, particularly in risk assessment, early warning systems, and disaster response. Policy frameworks and institutional support were identified as critical to scaling and sustaining capacity-building programs. Community engagement, leveraging local knowledge, was also vital for ensuring the relevance and sustainability of these efforts. Interdisciplinary collaboration across government, NGOs, and the private sector further improved the effectiveness of these strategies. The study concludes that these efforts contribute to better disaster preparedness, increased resilience, and support sustainable development. This framework offers valuable insights for policymakers and practitioners looking to implement and scale innovative capacity-building strategies to improve global disaster resilience.
Optimization of Penta helix in disaster risk reduction at disaster risk reduction forum F-PRB West Sumatra Province
Authors: Yulivestra Malse , Novalinda
Published: January 2025

This paper explains the efforts of F-PRB of West Sumatra Province in optimizing the role of actors using the Penta Helix concept. This study applied descriptive qualitative methods and data collection methods are interviews, and documentation. The conclusions of this study showed that The Penta Helix concept is the right concept to be applied in the context of disaster mitigation by F-PRB. Then the second conclusion is that implementing the Penta helix concept in F-PRB is still not optimal. It can be seen from one of the involvement of stakeholders that it is still not balanced and also not representative in terms of the number of each element. The third is collaboration process with these five stakeholders is quite optimal. There are Several recommendations need to be considered form this research. The first is that F-PRB and stakeholders in each element must increase the number of members involved and join the forum to be representative. F-PRB also needs to embrace and involve elements of society at the village level to be involved and join the membership of this forum. Then, there needs to be more intense collaboration activities related to disaster mitigation creating a resilience society.
Prediction of flood peak-discharges in the Raman Watershed, North Raman, Central Lampung
Authors: Rossi Farli , Musa Sabariah , Mera Mas , Kastamto  , Susarman  , Februarman
Published: January 2025

The Raman Watershed which is located in Pekalongan District covers an area of approximately 4,375 hectares of technically irrigated rice-field. The area was repeatedly hit by extreme flooding during the rainy season. The largest recorded flood occurred in December 2021, with an average daily maximum rainfall of 153 mm. This flood caused serious damage to the primary canal of the North-Raman Irrigation- Area. This research objective is to predict the flood peak-discharge in the Raman Watershed in the rainy season in December 2021. Flood discharge is calculated for various return periods based on daily rainfall- data from 2012 to 2021 obtained from BMKG Central Lampung. Hydrological analysis includes: 1) assessment of annual average rainfall-depth using the Thiessen method; 2) analysis of rainfall distribution and predictions of design rainfall using three common probability distributions; and 3) flood discharges are predicted using the Nakayasu method. Distribution analysis shows that LPT3 is the most suitable distribution. The average daily maximum rainfall recorded in December 2021 (153 mm), is in very good agreement with the design rainfall for the 25-year return period (152.58 mm). Thus, the flood peak-discharge in the Raman Watershed with average daily maximum rainfall of 153 mm is estimated at 23.27 m3/s.
The performance of the weather research & forecasting model (WRF) using ensemble method to predict weather parameters
Authors: Pratama Alvin , Oktaviana Ade A. , Kombara Prawira Y. , Isnaenda Ikhsan Muhammad
Published: January 2025

The performance of the WRF model is evaluated using different physical options for the Riau Province. There are 12 members, and the ensemble mean method is used to evaluate the temperature, humidity, wind direction, and wind speed. The primary purpose of this study is to determine the appropriate parameterization for the study area. In this study, two nested domains have been used for performance analysis, with the resolution of the coarser domain set at 9 km and the inner domain set at 3 km. The model was run for five days in 2019 during a forest fire episode in Riau Province. The analysis was carried out by looking at the values of the correlation coefficient, root mean square error (RMSE), and bias. From the weather forecast, WRF, with the sixth parameterization member, produces a better value than the others. RRTM and Dudhia parameterization gave better results for temperature parameters. Meanwhile, the parameterization of Yonsei University (YSU) produces better results for the parameters of wind direction and wind speed.
Liquefaction potential analysis using the Tsuchida method and correlation of Relative Density (Dr) − D50 at Padang Beach
Authors: Andriani  , Afifa Mifta , Yoriadi Didi , Shubhi Nurul Hadie Muhammad , Ahmad Fauziah
Published: January 2025

Indonesia’s seismic activity necessitates careful consideration of earthquake risks in construction projects, as seen in the 2009 Padang’s Earthquake with high sand content and water table near the coast. The test was carried out based on the gradation of soil grains through sieve analysis testing using the Tsuchida boundary and relative density testing by analyzing the correlation value between Dr and D50. The accelerations used in this test are 0.3g and 0.6g. Soil classification according to the AASHTO (American Association of State Highway and Transportation Officials) system, the type of sand on the beach is A-3 (fine sand), and according to the USCS (Unified Soil Classification System) system, all samples are classified as SP (Poorly-graded sand). With Cc (Coefficient Curvature) 2.436-1.975 and Cc (Coefficient Uniformity) 1.106-0.939. 0.3g Relative density ranges between 7-59%, and 0.6g ranges between 5-41%. Diameter passes 50% ranges between 0.187-0.408 mm. The Tsuchida boundary analysis and the Dr-D50 correlation retrieved similar results. Tsuchida analyses grain gradation, while Dr-D50 examines cyclic load and settlement for specific grain size, affecting liquefaction potential. One sample liquefied at 0.3g, while all samples liquefied at 0.6g. Due to a smaller diameter at 50% pass, it was indicating higher liquefaction potential.
Point-of-Use technology for clean water treatment in disaster areas: Effectiveness of LDH plate in eliminating pathogenic bacteria
Authors: Ihsan Taufiq , Afrianita Reri , Ilfan Freddy
Published: January 2025

This study tackles the clean water crisis in West Sumatra, often exacerbated by natural disasters such as flash floods and landslides, by proposing an innovative point-of-use water treatment method. The method employs layered double hydroxide (LDH) synthesized on aluminum plates, created by soaking these plates in a solution of seawater and magnesium hydroxide. The X-ray diffraction analyses proved the formation of LDH. Experiments demonstrated that this method is suitable for water contaminated with E. coli. For the LDH plates, this removal rate of E. coli reached 100% with continuous stirring and 91% with occasional stirring within 24 hours. Stirring did enhance contact between LDH and water, thus improving the rate of removal of the bacterium. The process is low-cost and simple, with all materials easily available, so this offers a very reproducible solution to deliver clean water in disaster zones. Further studies shall be conducted for its performance against different bacterial strains and in more complex water matrices. This work substantially expands current knowledge of POU/HWT technologies and delivers a real-life solution for providing clean water in disaster situations.
Catch-up immunisation for children in earthquake-affected areas of West Pasaman, Indonesia
Authors: Syawqi Rahmat , Fitry Yani Finny , Asrawati  , Mariko Rinang
Published: January 2025

Children are a particularly vulnerable population when exposed to natural disasters and experience increased problems related to physical health, mental health and post-disaster learning. The conditions of displacement during a disaster will cause an increased risk of morbidity to mortality of infectious diseases and even potential outbreaks. The success of immunisation efforts at the scene of a disaster is a successful effort to reduce the mortality rate due to Immunisation Preventable Diseases. However, in emergency or disaster situations, there can be significant disruption or reduction in routine immunisation services, delays or temporary suspension of immunisation programmes. Immunisation achievements in West Pasaman Regency, especially in Kenagarian Kajai, still have not reached the target of forming herd immunity. The Covid 19 pandemic is one of the causes of low immunisation achievements and the earthquake could further reduce it. Efforts to achieve immunisation targets must also be made in a disaster situation, one of which is in the form of an immunisation catch-up program. We collaborated with various parties in Kenagarian Kajai, West Pasaman to conduct catch up immunisation through posyandu as an effort to ensure children in disaster locations still have the opportunity to get immunised according to the recommended immunisation schedule.
Infant and young children’s mother profile related to breastfeeding practices during and after the flash floods disaster in Agam, West Sumatra, 2024
Authors: Rahmi Nitari , Amelin Fitrisia
Published: January 2025

Flash floods from Mount Marapi on May 24, 2024 occurred in Agam Regency, West Sumatra. BNPB reported distribution of vulnerable categories among refugees are baby which is increased infection, breastfeeding can reduce the risk of infectious diseases in disaster. One of the efforts is relactation. This cross-sectional study was conducted on 19 babies’ refugee of the Agam flash floods on May 2024. Data were collected using questionnaire during and after disaster. A total of 21 babies that 0-2 years old participated in the study that four mothers (21.3%) still had enough breast milk for their babies, nine mother (47.4%) breast milk production was reduced, and six mothers (31.6%) had difficulties and no longer had breast milk. Several problems occur in mothers during disaster are anxiety (89.5%), lack of sleep (68.4%), no appetite (63.1) fatigue and stress (57.9%). Fatigue and stress (p-value 0.039), lack of sleep (p-value 0.036), no appetite (p-value 0.048), and anxiety (p-value 0.002) were statistically significant correlates. Relactation practice needed but only four respondents relactated. Breastfeeding during disaster is important to reduce any disease, but fatigue, stress, lack of sleep, loss of appetite and anxiety has statistically significant correlate with decrease of breastmilk production.
Role of oral and maxillofacial surgeon in disaster management
Authors: Anggraini Santi , Nismal Harfindo , Akmal Fauzan , Rizqina Nurul , Apipi Muzaffar
Published: January 2025

This comprehensive review explores the role of oral surgery in disaster management, highlighting its various phases of disaster response. The study uses a qualitative literature review to analyze current practices, challenges, and future directions in integrating oral surgical expertise into disaster preparedness and response frameworks. Findings reveal that oral surgeons contribute significantly to patient care in disaster scenarios. Integrating oral surgery in disaster management remains inconsistent globally, including oral surgeons in response teams. It identifies inadequate specialized training, limited awareness among disaster planning authorities, and logistical difficulties in deploying oral surgical resources. Technological advancements offer promising solutions to enhance the reach and effectiveness of oral surgical care in disaster settings. It underscores the psychological impact of oral and maxillofacial injuries on disaster survivors, emphasizing the importance of timely interventions for mental health and social reintegration. Ethical considerations surrounding resource allocation in disaster scenarios are examined. The review concludes by proposing recommendations for policy development, training enhancement, interdisciplinary collaboration, and technology adoption to improve oral surgery in disaster management. This research contributes to a growing body of evidence supporting the essential role of oral surgery in comprehensive disaster response strategies and advocates for its fuller incorporation into global disaster management frameworks.
Trauma healing for children affected by the Pasaman, West Pasaman earthquake
Authors: Elfendi Rudi , Asrawati
Published: January 2025

This study focuses on trauma healing interventions for children affected by the Pasaman earthquake in February 2022, which led to significant psychological issues such as trauma, stress, and sleep disturbances. The research involved direct observations and interventions in several evacuation camps. A team from the Department of Pediatrics, Faculty of Medicine, Andalas University, conducted trauma healing sessions, including cognitive behavioral therapy (CBT) and play therapy, in affected areas. The intervention programs targeted children aged 3 to 18 years and were complemented by educational efforts for parents on how to provide at-home trauma healing support. The study highlights the importance of early psychological interventions, such as CBT, to prevent the long-term effects of post-traumatic stress disorder (PTSD), depression, and anxiety in children. Observational data revealed that about 57.9% of the children experienced sleep disturbances post-earthquake, with significant improvements following the trauma healing activities. Additionally, parent-child engagement during therapy sessions helped strengthen family support systems, which are crucial in the psychological recovery process. These findings underline the necessity of including psychosocial support in post-disaster recovery plans and stress the need for further research and implementation of trauma-informed care in affected communities to support both immediate and long-term psychological recovery for children.
A case study on risk analysis of machine breakdown using the FMEA method
Authors: Fithri Prima , Hasan Alizar , Wisnel  , Sultan Fauzi Kesogihan R.
Published: January 2025

This study addresses the frequent disruptions in PT X, the first cement factory in Indonesia, which affect its productivity and quality. The main problem involves the frequent stoppages of key machinery such as raw mills, kilns, cement mills, and especially coal mills, which are crucial for combustion processes. In 2021, the 6K1 coal mill experienced 384 hours and 38 minutes of downtime, with the Rotary 6K1A03 component being the most problematic, causing 205 out of 359 total disruptions. The Failure Mode and Effect Analysis (FMEA) method was employed to analyze these disturbances. The analysis revealed a critical Risk Priority Number (RPN) value of 5.148, with eight factors exceeding this threshold, including the high current in Rotary 6K1A03, with RPN values of 90, 35, 25, 24, 9, 8, and 6. These critical factors are prioritized for intervention. Consequently, it is imperative to implement management and risk mitigation strategies to address these issues and enhance the operational efficiency of the factory.
Enhanced subsurface investigation utilizing electrical resistivity tomography and precise positioning tools (study case: Rongga landslide)
Authors: Hilmi Zaenal Putra Moch , Tohari Adrin , Soebowo Eko , Sudrajat Yayat , Amar  , Wahyudin  , Wardhana Dadan Dani
Published: January 2025

This study presents an enhanced approach for subsurface investigation using Electrical Resistivity Tomography (ERT) coupled with precise positioning tools, focusing on the Rongga Landslide in Indonesia. ERT is widely recognized for its ability to map subsurface conditions by detecting resistivity contrasts associated with geological structures and water content, especially in landslide-prone areas. The study combines GPS and digital waterpass altimeter with ERT to improve the precision of subsurface anomaly detection. Important information regarding moisture distribution, graben structures, and sliding surfaces was revealed by the generation of two ERT profiles. Our research indicates that a number of factors, including lithological characteristics, erosion along riverbanks, and tectonic activity—specifically, a nearby fault structure—may have contributed to the Rongga landslide These findings highlight the usefulness of ERT to evaluate the risk of landslides and offer useful data for geotechnical research in tectonically active areas.
Seismic performance evaluation of the Central Laboratory Universitas Andalas building with expansion joints
Authors: Fauzan  , Aryo Agista Geby , Al Jauhari Zev
Published: January 2025

The laboratory supports students’ education and provides space for practice and research. One of the laboratories is the Central Laboratory Building of Universitas Andalas, located in Padang City, which has building expansion joints. Since Padang City is an earthquake-prone area, the planning of laboratory buildings must consider earthquake safety. An expansion joint is needed to ensure earthquake safety as a boundary for building structures. It is designed so that if a major earthquake occurs, the buildings are planned not to be damaged due to pounding so that potential losses can be minimized. This study evaluates the seismic performance of buildings with expansion joints based on the current Indonesian seismic codes. The study results show that the maximum displacement of the buildings (zones A, B, C, and D) does not exceed the distance between expansion joints. It prevents contact between them (pounding) during any seismic event, allowing the building to be declared safe during an earthquake. Additionally, the seismic performance of buildings complies with current Indonesian earthquake regulations, specifically regarding dynamic characteristics, inter-story drift, horizontal irregularity, and vertical irregularity.
Seismic vulnerability assessment of a hospital building with and without retrofitting using RC shear walls
Authors: Fauzan  , Aryo Agista Geby , Syandriaji Diva , Al Jauhari Zev , Bima Suwarso Deara
Published: January 2025

Revisions to building regulations in Indonesia necessitate assessing building structures, especially hospital buildings. A structural assessment using the current building codes and vulnerability analysis is necessary to ensure the building’s strength against the working loads. In this study, an assessment of the Third-Class Inpatient Building at the Sijunjung Regional General Hospital was carried out using the finite element method (ETABS V21). The structural assessment of the existing hospital building revealed that the inter-story drift values exceed the drift limit, and column and beam structural elements cannot withstand the working loads. The recommendation for retrofitting the building structure is to add RC shear walls to the existing building. The retrofitted building shows an increase in its structural capacity, and the inter-story drift and the strength of the structural elements have met the requirements based on the current Indonesian building codes. Furthermore, structural fragility curves of the hospital building were developed with and without retrofitting against earthquake loads. The vulnerability analysis results indicated that retrofitting the hospital building with shear walls reduces the probability of building damage due to earthquake loads by 52.69% at the level of extensive damage at a PGA of 0.60 g.
Accurate Cerebral Blood Flow Simulations Compared to Real Data
Authors: Mollo Pierre , Dollé Guillaume , Salmon Stéphanie , Balédent Olivier
Published: January 2025

In this work, we develop models of cerebral venous blood flows in realistic 3D geometries and run accurate numerical 3D simulations leveraging real data. These data come from Magnetic Resonance Imaging measures and provide both morphological and physiological information on the same subject. It allows to calibrate a subject specific simulation and improve its reliability. We present the complete pipeline going from data pre-processing to the integration in the simulation framework. The 3D Finite Element simulations in the main cerebral venous vessels are coupled with Windkessel reduced models, whose parameters are chosen according to the data, to take into account the neglected network. First results are discussed and compared with literature data, opening the way to obtain reliable information difficult or even impossible to obtain in vivo in a non-invasive way. All codes are in-house openly developed ones to ensure reproducibility.
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Growth Hormone Treatment Response: Associated Factors and Stimulated
Growth Hormone Secretion Indices in Prepubertal Children with Idiopathic GH
Deficiency
Authors: Giannakopoulos Aristeidis , Kallimani Eleni , Efthymiadou Alexandra , Chrysis Dionisios
Published: January 2025

Introduction This study aimed to examine the correlation between the
growth response in prepubertal children with idiopathic growth hormone (GH)
deficiency after 1 year of treatment with GH to the initial clinical and
biochemical parameters. Additionally, the secretion dynamics of GH was also
studied by analyzing the GH stimulation test profiles in relation to the GH
treatment response.

Methods This retrospective study included 84 prepubertal children (47
males and 37 females) with a definitive diagnosis of GH deficiency. The GH
secretory indexes GHmax, GH secretion rate, and GH secretion volume
were analyzed in relation to the response to recombinant human growth hormone
(rhGH) treatment as defined by the index of responsiveness (IoR). Correlation
and regression models were used to identify the best clinical and biochemical
predictors to rhGH treatment. ResultsIoR was negatively correlated with the age
(r=–0.607, p<0.01) and positively with the distance of child’s height from
its midparental height (MPH) r=0.466 (p<0.01) and pretreatment growth
velocity (r=0.247, p<0.05). GH secretory indexes were correlated, and the
highest association was observed between GHmax and GH secretion
volume (r=0.883, p<0.01). Among the GH secretory indexes, GHmax
was the best predictor of IoR (β coef. = –0.514, p<0.001) followed by the GH
secretion volume (β coef. = –0.47, p<0.001) and GH secretion rate (β coef. =
–0.367 p<0.001).

Conclusions The age and the distance of child’s height from its MPH are
major predictors of GH treatment response in children with idiopathic GH
deficiency. The calculation of the other GH secretory indexes GHSR and GHSV are
not better predictors of response to GH than GHmax. The combination
of clinical and biochemical indexes may improve the pretreatment assessment of
response to rhGH treatment.
Nutzung öffentlicher Qualitätsinformationen durch ältere Menschen:
Können dadurch Qualitätsverbesserungen in Pflegeheimen erreicht
werden?
Authors: Kast Kristina , Pöthe Soufian , Schöffski Oliver
Published: January 2025

Zielsetzung Die Zielsetzung der Studie bestand darin, die Nutzung
öffentlicher Qualitätsberichterstattung durch ältere Pflegeheimsuchende zu
beurteilen und zu klären, ob diese mittels ihres Auswahlverhaltens zu
Qualitätsverbesserungen in Pflegeheimen beitragen können.

Methodik Es fand eine schriftliche Befragung von 57 älteren Menschen in 3
Pflegeheimen in Baden-Württemberg statt. Die Fragen bezogen sich auf
Soziodemografie, die Kenntnis und Nutzung von Informationen von
Internetvergleichsportalen sowie auf das Auswahlverhalten der Teilnehmenden.

Ergebnisse Insgesamt wussten 66,7% der Teilnehmenden nicht, dass man sich
online über Qualität informieren kann, 57,9% würden solchen Informationen nicht
trauen und 21,1% würden ihre Entscheidung auf Basis von Internetinformationen
überdenken.

Schlussfolgerung Ältere Menschen alleine nutzen die Qualitätsinformationen
nicht. Das Ziel einer Qualitätsverbesserung kann damit nicht erreicht werden.
Sensibilisierung weiterer Zielgruppen für die Vorteile der
Qualitätsberichterstattung und die Wichtigkeit einer gemeinsamen Pflegeheimsuche
ist notwendig.
Synthetic Patellar Ligament Prosthesis for Treatment of Patellar Fracture in a Dog
Authors: Knight Jennifer Maree , Kudnig Simon Timothy , Shaw Tania , Ng Jiaying
Published: January 2025

The aim of this report was to describe the clinical use of a synthetic ligament prosthesis for surgical treatment of a comminuted patellar fracture with disruption of the quadriceps mechanism in a dog. A 17 kg, 3-year-old, female spayed Kelpie was presented with a nonweight-bearing right pelvic limb lameness, after sustaining an acute traumatic comminuted fracture of the patella. The patellar fragments were left in situ and the patellar ligament was replaced with a prosthetic implant to restore continuity of the quadriceps mechanism. The dog showed excellent recovery at 2 and 6 weeks postoperatively and showed no evidence of lameness at both 10 weeks and 5 months postoperatively. This case report describes the clinical use of a commercially available prosthesis for the repair of a disrupted quadriceps mechanism with excellent outcomes despite nonunion of the patellar fracture.
Hospital Health Information Exchange Network Density and Predictors Across U.S. Hospital Referral Regions
Authors: Lin Sunny C. , Joynt Maddox Karen , Lew Daphne , Adler-Milstein Julia , Kannampallil Thomas
Published: January 2025

Objective
To develop a measure of Health Information Exchange (HIE) for characterizing the density of inter-hospital HIE connections and identify regional characteristics associated with HIE network density

Materials and Methods
HIE network density was measured as the proportion of hospital pairs within a region that are connected through HIE. The 2022 American Hospital Association’s Information Technology Supplement survey was used to calculate HIE network density for US hospital referral regions (HRRs). Bivariate tests and multivariable regression were used to characterize hospital, electronic health record (EHR) vendor, and resident characteristics associated with HIE network density.

Results
Data on 2,509 hospitals across 274 HRRs were included in the study, with 92% of hospitals participating in at least 1 HIE. On average, hospitals participated in two HIEs and there were 7 HIEs present in each region. HIE network density ranged from 0.0 to 1.0, with a median of 0.78 and an interquartile range of 0.51 to 1.00. Hospital and vendor characteristics associated with greater HIE network density include: more HIEs per hospital, a higher proportion of non-profit hospitals, greater Epic marketshare, and more concentrated hospital and EHR vendor markets. Resident characteristics associated with greater HIE network density include: higher home values, more educated residents, and higher median household incomes.

Conclusion
We found that, on average, 7 out of 10 hospital-pairs within a given hospital referral regions are connected via at least one HIE, with lower HIE network density in regions with lower socioeconomic status. This measure can be used to track the impact of the Trusted Exchange Framework and Common Agreement on area-level interoperability.
EDA complexation of two donor molecules initiating radical cation cyclizations
Authors: Kürschner Julian , Utikal Martin , Lezius Lena , Jeyaseelan Rubaishan , Næsborg Line Dahl
Published: January 2025

We present a catalyst-free EDA complexation of two donor molecules using an acidic solvent. The electron-rich aromatic compound E-anethole is slowly protonated by the solvent hexafluoroisopropanol (HFIP), leading to the rapid formation of a photoactive EDA complex between a protonated E-anethole and another E-anethole molecule. This resulting EDA complex initiates radical chain cyclization reactions under green light irradiation.
Surgical Treatment of Obstetric Plexus Lesions by Direct Coaptation Compared to Sural Nerve Graft Interposition
Authors: Mai Justus , Raak Christa Kunigunde , Ostermann Thomas , Bahm Jörg , Scharbrodt Wolfram
Published: January 2025

Background To date, there are no uniform guidelines for the treatment of obstetric plexus lesions in German-speaking countries. An end-to-end direct suture after resection of trunk neuroma is recommended for surgical treatment if tension-free coaptation is possible, whereas the use of autologous nerve grafts bridging the gap between the adaptation margins is advised by consensus if tension-free coaptation is impossible.

Objective The aim of the study was to investigate which reconstruction strategy may provide a better recovery of motor function for patients after obstetric brachial plexus lesion.

Methods This study compared postoperative functional outcome after obstetric brachial plexus palsy from a patient collective including a total of 43 children. The surgical techniques of plexus reconstruction by end-to-end coaptation versus the use of sural nerve interposition graft have been analyzed. Therefore, the degrees of active motion of abduction and external rotation in the shoulder joint, and flexion in the elbow joint were assessed using the neutral zero method.

Results For abduction in the shoulder joint, significantly better motor function was found in the group with direct sutures (p = 0.033). For external rotation in the shoulder joint and flexion in the elbow joint, there was no statistically significant difference between the groups (p = 0.284 and p = 0.270, respectively).

Conclusions This study could not demonstrate absolute superiority of either reconstruction method. Slight evidence was found for a better functional outcome for plexus reconstruction by direct coaptation. Further arguments support a better suitability of plexus reconstruction by direct suture if its use is justifiable.