bluuebunny/crossref_metadata_2025_split huggingface dataset:
A designer Schiff based motif offered dual dynamic exchangeable bonds, faster curing and closed‐loop circularity in epoxy vitrimers
Authors: Tripathi Sandeep , H. Supriya , Bose Suryasarathi 
Published: December 2023

AbstractA fast‐curing epoxy with improved mechanical properties, self‐healing and re‐processability was designed using a tailored Schiff based motif that offered dual covalent adaptable network (CAN) in epoxy. The designer motif is a dynamic hardener with both acetal linkage and a Schiff base motif in the same molecule which allowed us to gain a mechanistic insight into the evolving transient network in epoxy vitrimers. The dynamic hardener besides offering a cross‐linked network in epoxy can facilitate rapid exchange reactions, resulting in a material with high tensile strength (74 MPa), high glass transition temperature (121°C), and that can be re‐purposed through solvent induced degradation. The proposed dynamic curing agent is suitable to be employed as a coating material on substrates to ensure excellent self‐healing and re‐processability ensuring chemical recyclability. Few carbon fiber‐based laminates were prepared using the epoxy vitrimer and the recovery of CF post laminate preparation clearly demonstrates the closed‐loop circularity in epoxy vitrimers.Highlights
A unique dynamic curing agent is designed consisting of an aldehyde (salicylaldehyde) and an amine and acetal containing species (amino acetaldehyde dimethyl acetal).
It facilitates imine and acetal exchange that can bond at temperatures <60°C and break at temperatures >105°C as evidenced by the vitrimer transition temperature.
Epoxies show high tensile strength (74 MPa), exceptional Tg (121°C), fast stress relaxation and an activation energy of 96.2 KJ/mol.
The imine‐acetal exchange system rendered the epoxies re‐processable, malleable and re‐usable.
The Second-Year Publication of the Open Access Book Series “Progress in Landslide Research and Technology”
Authors: Sassa Kyoji 
Published: December 2023

AbstractThe ICL new open-access book series “Progress in Landslide Research and Technology” was launched in 2022, and the founding issues, Vol.1, No.1 and No.2 2022 were successfully published by active authors, KLC2020 official promoters as well as voluntary volume editors. The starting point of this new book series is the publication of the journal “Landslides” of the ICL in 2004. Based on the experience and the assets of good editors and enthusiastic authors through these 18 years, the ICL and journal editors have been challenged to launch the Open Access Book Series “Progress in Landslide Research and Technology” in 2022.The book series provides a joint platform for the publication of recent progress in landslide research and technology for practical applications and the benefit for the society contributing to the Kyoto Landslide Commitment 2020, which is expected to continue until 2030 and beyond to globally promote the understanding and reduction of landslide disaster risk, as well as to address and help implementing the UN 2030 Agenda Sustainable Development Goals.This short article states firstly the financial management (Book Processing Charge: BPC), which is the most important for the sustainability of publishing an open access book series, and the selection of cover photo and the issue editors on the front cover. Number of issue editors were changed from 5 for Volume 1 Issue 1, to 9 for Volume 1 Issue 2 and 11 for Volume 2 Issue 1. Secondly, the creation of a new Award related to this book series, and the support of the core activities of the International Programme on Landslides (IPL): A Programme of the ICL for Landslide Disaster Risk Reduction through this book series are explained.The countries of the authors, and the number of pages and articles of eight categories were compared in the founding two issues and the first issue of the second year. Finally, the oral presentation opportunity on their results for the authors of P-RLT in 2023 is introduced. We had the first oral presentation opportunity at the ICL 20th Anniversary and IPL-KLC Symposium in November 2022. Authors obtained something different merits from printed publication as from oral presentation. We have a plan to offer the next opportunity for orally presenting the results in June and November, 2023.
The Modern Activity of the Buzulgan Landslide and Its Influence on the Debris Flow Hazard for the Tyrnyauz Town (Northern Caucasus, Russia)
Authors: Zerkal Oleg V. , Chernomorets Sergey S. , Iudina Viktoriia A. , Dokukin Mikhail D. , Krylenko Inna N. , Savernyuk Elena A. , Vinogradova Tatiana A. , Zaporozhchenko Eduard V. 
Published: December 2023

AbstractThe valley of the Gerkhozhan-Su River (a tributary of the Baksan River) in the Norther Caucasus is one of the most debris flow-prone areas in Russia. Large-scale debris flows here have occurred in 1937, 1960, 1961, 1962, 1977, 1999, 2000, 2002, 2011, 2017. The Tyrnyauz town is located in the impact zone of the debris flows. A significant impact on the debris flow hazard in the Gerkhozhan-Su River valley is exerted by the Buzulgan landslide, which was formed on the right side of the valley with a height of about 350 m and an average steepness of 23–25°. The area where the Buzulgan landslide was formed is located within the Pshekish-Tyrnyauz suture zone, which is a 2–3 km wide belt of the intensive tectonic fragmentation. The modern landslide activity began in March 2020. The main phase of the landslide displacement occurred in August 2020. The total volume of the landslide is estimated as 7.0–7.2 × 106 m3. It formed a dam that blocked the Gerkhozhan-Su River valley. No large lake was impounded upstream, as the river has eroded a new channel near the left side of the valley in a short time. A landslide dam, composed of disintegrated deposits, increases the debris flow hazard. The occurrence of debris flows in the river valleys upstream the dam site will rise the landslide-damned lake level, which rapid breakthrough may cause a catastrophic debris flow surge downstream. In this study the influence of Buzulgan landslide on the debris flows passage was identified. The method of complex modeling was applied: the transport-shift model (the FLOVI program) for the zone of the potential debris flow—landslide interaction and the FLO-2D hydrodynamic model for the valley zoning. Modeling of the alluvial fan inundation was carried out for the case of the channel blockage at the Tyrnyauz bridge by debris flow deposits or bridge collapse. The difference between inundation zones using the various rheological parameters was ~10%. The distinction between inundation zones for this case and in the absence of the bridge blockage was about 26%. Residential buildings, buildings of the Elbrus district administration, several schools, and a kindergarten are located in the flood prone zone.
Landslide Risk Assessment in the Tropical Zone of Vietnam as a Contribution to the Mitigation of Natural Disaster Vulnerability
Authors: Van Tien Dinh , Thanh Nguyen Kim , Quang Lam Huu , Ha Do Ngoc , Sassa Kyoji , Miyagi Toyohiko , Abe Shinro 
Published: December 2023

AbstractLandslide risk assessment is considered an important objective in minimizing damage caused by this extreme event. The biggest challenge of assessing landslide risk is predicting the likelihood of a catastrophic event. To evaluate this possibility, studies have focused on building integrated maps of assessment, using predictive models such as testings, scale models, numerical models, and actual field observations. This article summarizes the research achievements and applications achieved in the past ten years of the Institute of Transport Science and Technology in the landslide risk assessment in Vietnam.
Digital Terrain Models Derived from Unmanned Aerial Vehicles and Landslide Susceptibility
Authors: Paulín Gabriel Legorreta , Parrot Jean-François , Castro-Miguel Rutilio , Arana-Salinas Lilia , Quesada Fernando Aceves 
Published: December 2023

AbstractDigital Terrain Models (DTMs) are among the most important spatial information tools used in geomorphological landslide assessment because they allow the extraction of crucial attributes, such as landslide geometry, slope, terrain curvature, etc. However, at a local scale, the assessment of remote volcanic terrains is difficult because the DTMs have poor spatial and temporal representation. Worldwide, geomorphological analysis of landslides processes in mountainous terrains with difficult access has benefited with virtual topography representations using high-resolution Digital Surface Models (DSMs) generated by imagery captured by unmanned aerial vehicles (UAV). These DSMs include not only the ground topography, but also other landscape elements such as vegetation, buildings, cars, etc. These natural and anthropogenic elements are considered as non-relevant information or noise to obtain only the ground information. Photogrammetric post-processing of the DSM is required to derive a DTM that represent only ground topography. This research uses a Canopy Height Model (CHM), an altimetric selection mask, weights, a low-pass filter, and specific algorithms to generate a DTM from a high-resolution DSM derived from the UAVs and a DTM of a 1:50,000 map. With the DTM thus obtained, landslide susceptibility assessment was then conducted. The assessment completed by means of multiple logistic regression (MLR) in the study area. The Cerro de la Miel in Tepoztlán, State of Morelos, Mexico, is selected to exemplify this method. The study area was affected by rockfalls and shallow landslides during the earthquake on September 19, 2017. The results show an adequate representation of the ground topography, and eliminating most of the noise coming from the high-resolution DSM allowed us to define the landslide susceptibility. For the calculated landslide susceptibility, there is a 76% match between the model and the landslide inventory.
Impact of Input Data on the Quality of the Landslide Susceptibility Large-Scale Maps: A Case Study from NW Croatia
Authors: Krkač Martin , Bernat Gazibara Sanja , Sinčić Marko , Lukačić Hrvoje , Šarić Gabrijela , Mihalić Arbanas Snježana 
Published: December 2023

AbstractThe study presents analyses of input data impact on the quality of the landslide susceptibility large-scale maps. For comparison, two input data sets were used to produce two landslide susceptibility maps. The first input data set included free-available, small-scale data with low spatial accuracy, while the second set included high-resolution remote sensing data. The same nine types of landslide causal factors were derived and used for susceptibility analyses. Furthermore, LiDAR-based landslide inventory and bivariate statistical method, i.e. Information Value method, were used for susceptibility modelling. The resulting landslide susceptibility maps were compared with ROC curves. Success and prediction rates showed that the landslide susceptibility model based on causal factors derived from high-resolution remote sensing data is approximately 10% more accurate than the model based on causal factors derived from small-scale input data. Furthermore, based on the conducted research, it can be concluded that susceptibility modelling based on small-scale data and LiDAR-based inventories enables reliable landslide susceptibility assessments at the regional level.
Landslide Warning Systems in High-Income Countries: Past Accomplishments and Expected Endeavours
Authors: Alcántara-Ayala Irasema , Garnica-Peña Ricardo J. 
Published: December 2023

AbstractSpecial emphasis has been given to the role Early Warning Systems (EWSs) can play as mechanisms for disaster risk reduction (DRR) around the globe. Along this line, the International Consortium on Landslides (ICL) has promoted several efforts to create regional and global network initiatives that include, among other relevant activities, landslides early warning systems (LEWSs). This task has actively involved the ICL community in supporting the implementation of the Sendai Framework for Disaster Risk Reduction (SFDRR) in all the nations included as members.Despite the advances in the development of LEWSs, their successful implementation worldwide remains a challenge to be addressed. Building on earlier efforts, an overview of the diverse dimensions of LEWSs in High-Income Countries (HICs) is provided in this chapter.Insights derived from a systematic literature review, are included in this document and organized into five sections. The introductory part focuses on the relevance of LEWSs in HICs and outlines the structure of the chapter. It is followed by a general reflection on hazard knowledge-based LEWSs. Details on the methodology used for this analysis are provided in the third section. The outcomes of the literature review are presented in the fourth section, while key messages are included at the end of the chapter.Technology development for potential LEWSs, hazard analysis for LEWSs, and models and prototypes for LEWSs are the main thematic focus of research in the analyzed publications.
Mathematical and Numerical Modeling of Slope Stability for the Mong Sen Landslide Event in the Trung Chai Commune, Sapa, Vietnam
Authors: Van Duong Binh , Fomenko Igor K. , Nguyen Lan Chau , Nguyen Kien Trung , Do Tuan-Nghia , Gorobtsov Denis N. , Zerkal Oleg V. , Dinh Hien The 
Published: December 2023

AbstractThe northern mountainous region of Vietnam is particularly susceptible to sediment-related disasters, such as landslides, during the rainy season. This paper presents slope stability modeling results for a landslide event triggered by heavy rainfall in Trung Chai commune, Sapa, Vietnam. Stability simulations were conducted using input data, including 1-m DEM, the distribution and characteristics of slope materials, and the change of pore pressure ratio. The behavior of slopes under the impact of rainfall was analyzed using the limit equilibrium method and the finite element method, which are integrated into the programs of Rocscience Inc. In addition, since the Trung Chai commune is located in a seismically active region, single earthquakes or the combination of earthquakes and rainfall may trigger landslides. As a result, the study determined the relationship between seismic loading and pore water pressure for the studied slope. The study results showed that both limit equilibrium and the finite element methods have high efficacy in modeling slope stability in this study. Therefore, this study recommended that these methods may be employed for slope stability studies in other regions of Vietnam or other regions of the world with similar geological conditions.
A Computationally Efficient Method to Determine the Probability of Rainfall-Triggered Cut Slope Failure Accounting for Upslope Hydrological Conditions
Authors: Robson Ellen , Milledge David , Utili Stefano , Dattola Giuseppe 
Published: December 2023

AbstractWe present a new computationally efficient methodology to estimate the probability of rainfall-induced slope failure based on mechanical probabilistic slope stability analyses coupled with a hydrogeological model of the upslope area. The model accounts for: (1) uncertainty of geotechnical and hydrogeological parameters; (2) rainfall precipitation recorded over a period of time; and (3) the effect of upslope topography. The methodology provides two key outputs: (1) time-varying conditional probability of slope failure; and (2) an estimate of the absolute frequency of slope failure over any time period of interest. The methodology consists of the following steps: first, characterising the uncertainty of the slope geomaterial strength parameters; second, performing limit equilibrium method stability analyses for the realisations of the geomaterial strength parameters required to calculate the slope probability of failure by a Monte Carlo Simulation. The stability analyses are performed for various phreatic surface heights. These phreatic surfaces are then matched to a phreatic surface time series obtained from the 1D Hillslope-Storage Boussinesq model run for the upslope area to generate Factor of Safety (FoS) time series. A time-varying conditional probability of failure and an absolute frequency of slope failure can then be estimated from these FoS time series. We demonstrate this methodology on a road slope cutting in Nepal where geotechnical tests are not readily conducted. We believe this methodology improves the reliability of slope safety estimates where site investigation is not possible. Also, the methodology enables practitioners to avoid making unrealistic assumptions on the hydrological input. Finally, we find that the time-varying failure probability shows marked variations over time as a result of the monsoon wet–dry weather.
Decreased bone mineral density is associated with an increased number of teeth with periodontitis progression: a 5-year retrospective cohort study
Authors: Khunthananithi Phanthapha , Lertpimonchai Attawood , Sritara Chanika , Srithanyarat Supreda Suphanantachat , Thienpramuk Lalitsara , Mongkornkarn Sanutm 
Published: December 2023

Abstract
Objective
Longitudinal studies on the systemic bone loss-periodontitis relationship are limited with disparate results. The aim of this study was to investigate the association between bone mineral density (BMD) and periodontitis progression, controlling for other covariables in a Thai population.

Materials and methods
In 2,418 participants, BMD values of the lumbar spine, femoral neck, and total hip were measured with dual-energy X-ray absorptiometry at baseline. Each participant’s BMD status was classified as normal, osteopenia, or osteoporosis. Full mouth periodontal examinations on 6 sites/tooth were performed at baseline and 5-year follow-up visits. Periodontitis progression was defined as a tooth presenting an additional proximal CAL loss of ≥ 3 mm or an additional lost tooth with a baseline CAL ≥ 5 mm. The risk effects of BMD status on the number of teeth with periodontitis progression were analyzed using multivariate Poisson regression.

Results
Baseline BMD status of osteoporosis was associated with an increased number of teeth with periodontitis progression in the subgroups of postmenopausal women, non-smokers, and participants with periodontitis stage III/IV with adjusted risk ratios of 1.31 (95% CI = 1.09–1.58), 1.19 (95% CI = 1.04–1.36), and 1.13 (95% CI = 1.00–1.28), respectively.

Conclusion
Baseline BMD in the osteoporosis range increased the risk of having a greater number of teeth with periodontitis progression in specific participant subgroups.

Clinical Relevance
Decreased BMD is a potential factor affecting periodontitis progression risk in some individuals. Multidisciplinary approaches in educating and maintaining patients’ bone-oral health may help improve their quality of life.
Oncological outcomes of conversion therapy in gastric cancer patients with peritoneal metastasis: a large-scale retrospective cohort study
Authors: Yang Zhongyin , Lu Sheng , Shi Min , Yuan Hong , Wang Zhenqiang , Ni Zhentian , He Changyu , Zheng Yanan , Zhu Zhenglun , Liu Wentao , Yao Xuexin , Zhang Jun , Li Chen , Yan Min , Yan Chao , Zhu Zhenggang 
Published: December 2023

Abstract
Background
Data on the long-term oncological outcomes of patients who undergo conversion surgery (CS) in gastric cancer (GC) patients with peritoneal metastasis (PM) are limited.

Methods
GC patients with PM who received intraperitoneal (ip) and systemic chemotherapy between April 2015 and January 2021 were enrolled. Multivariate analysis was performed to identify risk factors associated with survival. Clinicopathological and survival outcomes were compared between those with CS and those without CS (NCS). The paclitaxel (PTX) plus tegafur–gimeracil–oteracil potassium capsules (S-1) (PS) + ip PTX and oxaliplatin plus S-1 (SOX) + ip PTX groups were matched in a 1:1 ratio using propensity score matching. Oncological and survival data were collected and analyzed.

Results
A total of 540 patients who received ip chemotherapy via subcutaneous port and systemic chemotherapy were analyzed and 268 patients were enrolled, including 113 who underwent CS and 155 who did not. Overall survival (OS) were 27.0 months and 11.8 months in the CS and NCS groups (P < 0.0001), respectively. R0 resection was an independent prognostic factor for patients who underwent CS. The OS of patients with or without ovariectomy was 21.3 or 12.0 months (P < 0.0001). No difference of clinicopathological and survival outcomes was found between the PS + ip PTX and SOX + ip PTX groups.

Conclusion
Conversion therapy is safe and adverse events were manageable. CS improves the survival of GC patients with PM after ip and systemic chemotherapy. R0 is an important prognostic factor. Furthermore, outcomes are comparable between the PS + ip PTX and SOX + ip PTX groups.
Machine learning assisted feature identification and prediction of hemodynamic endpoints using computed tomography in patients with CTEPH
Authors: Gawlitza Joshua , Endres Sophie , Fries Peter , Graf Markus , Wilkens Heinrike , Stroeder Jonas , Buecker Arno , Massmann Alexander , Ziegelmayer Sebastian 
Published: December 2023

AbstractChronic thromboembolic pulmonary hypertension (CTEPH) is a rare but potentially curable cause of pulmonary hypertension (PH). Currently PH is diagnosed by right heart catheterisation. Computed tomography (CT) is used for ruling out other causes and operative planning. This study aims to evaluate importance of different quantitative/qualitative imaging features and develop a supervised machine learning (ML) model to predict hemodynamic risk groups. 127 Patients with diagnosed CTEPH who received preoperative right heart catheterization and thoracic CTA examinations (39 ECG-gated; 88 non-ECG gated) were included. 19 qualitative/quantitative imaging features and 3 hemodynamic parameters [mean pulmonary artery pressure, right atrial pressure (RAP), pulmonary artery oxygen saturation (PA SaO2)] were gathered. Diameter-based CT features were measured in axial and adjusted multiplane reconstructions (MPR). Univariate analysis was performed for qualitative and quantitative features. A random forest algorithm was trained on imaging features to predict hemodynamic risk groups. Feature importance was calculated for all models. Qualitative and quantitative parameters showed no significant differences between ECG and non-ECG gated CTs. Depending on reconstruction plane, five quantitative features were significantly different, but mean absolute difference between parameters (MPR vs. axial) was 0.3 mm with no difference in correlation with hemodynamic parameters. Univariate analysis showed moderate to strong correlation for multiple imaging features with hemodynamic parameters. The model achieved an AUC score of 0.82 for the mPAP based risk stratification and 0.74 for the PA SaO2 risk stratification. Contrast agent retention in hepatic vein, mosaic attenuation pattern and the ratio right atrium/left ventricle were the most important features among other parameters. Quantitative and qualitative imaging features of reconstructions correlate with hemodynamic parameters in preoperative CTEPH patients—regardless of MPR adaption. Machine learning based analysis of preoperative imaging features can be used for non-invasive risk stratification. Qualitative features seem to be more important than previously anticipated.