bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association Between Diverse Cell Death Patterns Related Gene Signature and Prognosis, Drug Sensitivity, and Immune Microenvironment in Glioblastoma
Authors: Li Jian , Song Zhaoming , Chen Zhouqing , Gu Jingyu , Cai Yifan , Zhang Li , Wang Zhong 
Published: January 2024

AbstractGlioblastoma (GBM) is the most invasive type of glioma and is difficult to treat. Diverse programmed cell death (PCD) patterns have a significant association with tumor initiation and progression. A novel prognostic model based on PCD genes may serve as an effective tool to predict the prognosis of GBM. The study incorporated 11 PCD patterns, namely apoptosis, necroptosis, pyroptosis, ferroptosis, cuproptosis, entotic cell death, netotic cell death, parthanatos, lysosome-dependent cell death, autophagy-dependent cell death, alkaliptosis, and oxeiptosis, to develop the model. To construct and validate the model, both bulk and single-cell transcriptome data, along with corresponding clinical data from GBM cases, were obtained from the TCGA-GBM, REMBRANDT, CGGA, and GSE162631 datasets. A cell death-related signature containing 14 genes was constructed with the TCGA-GBM cohort and validated in the REMBRANDT and CGGA datasets. GBM patients with a higher cell death index (CDI) were significantly associated with poorer survival outcomes. Two separate clusters associated with clinical outcomes emerged from unsupervised analysis. A multivariate Cox regression analysis was conducted to examine the association of CDI with clinical characteristics, and a prognostic nomogram was developed. Drug sensitivity analysis revealed high-CDI GBM patients might be resistant to carmustine while sensitive to 5-fluorouracil. Less abundance of natural killer cells was found in GBM cases with high CDI and bulk transcriptome data. A cell death-related prognostic model that could predict the prognosis of GBM patients with good performance was established, which could discriminate between the prognosis and drug sensitivity of GBM.
Kinderschutz in der Schweiz
Authors: Gautschi Joel , Schnurr Stefan 
Published: January 2024

ZusammenfassungDieser Beitrag gibt einen Einblick in das Kinderschutzsystem der Schweiz. Er beschreibt die bundesrechtlichen Grundlagen, Aufgaben und Rolle der Kindes- und Erwachsenenschutzbehörden, sowie relevante Prozesse von der Meldung einer Gefährdung bis zur Entscheidung über Kinderschutzmaßnahmen. Der Artikel schließt mit der Erörterung aktueller Herausforderungen und Debatten.
Multiscale numerical modeling of large-format additive manufacturing processes using carbon fiber reinforced polymer for digital twin applications
Authors: Castelló-Pedrero Pablo , García-Gascón César , García-Manrique Juan A. 
Published: January 2024

AbstractLarge Format Additive Manufacturing (LFAM) has gained prominence in the aerospace and automotive industries, where topology optimization has become crucial. LFAM facilitates the layer-by-layer production of sizeable industrial components in carbon fiber (CF) reinforced polymers, however 3D printing at large scales results in warpage generation. Printed components are deformed as residual stresses generated due to thermal gradients between adjacent layers. This paper tackles the problem at two different scales: the micro and macroscale. Initially, the microstructure characterization of the thermoplastic ABS matrix composite material enriched with 20% short CF is used in the development of numerical models to understand the mechanical behavior of the studied material. Numerical modeling is performed simultaneously by means of Mean-Field (MF) homogenization methods and Finite Element Analysis (FEA). Outcomes validated with corrected experimental mechanical testing results show a discrepancy in the elastic modulus of 7.8% with respect to FE multi-layer analysis. Micro-level results are coupled with the a macroscopic approach to reproduce the LFAM process, demonstrating the feasibility of the tool in the development of a Digital Twin (DT).
The Spread of Jihadism in the Sahel. Part 2
Authors: Haidara Boubacar 
Published: January 2024

AbstractFollowing the occupation of northern Mali by jihadist groups in 2012, the national and international military response failed to counter their influence. Having spread to neighbouring countries of Burkina Faso and Niger, jihadism is now on the doorstep of some countries in the Gulf of Guinea, such as Togo and Benin. This article analyses in three parts the main factors that have been exploited (instrumentalised) by these jihadist groups in the Sahel, a strategy that they could replicate in the countries mentioned above.
Sandpack flooding of microwave absorbent nanofluids under electromagnetic radiation: an experimental study
Authors: Gharibshahi Reza , Omidkhah Mohammadreza , Jafari Arezou 
Published: January 2024

AbstractElectromagnetic (EM) radiation has long been recognized as an effective method for enhancing the quality and recovery of heavy and extra-heavy crude oil. The incorporation of EM absorbers, particularly nanoparticles, has demonstrated significant potential to boost efficiency and expand the stimulated reservoir volume. However, the application of simultaneous EM radiation and nanofluid injection in a natural porous medium, which is critical for the successful implementation of this approach in field-scale operations, remains an underexplored frontier. In this context, this research represents a pioneering endeavor, aiming to bridge this knowledge gap through a comprehensive statistical and optimization study. The primary objective was to unravel the intricate interplay between five distinct types of magnetic nanoparticles and their concentrations within the base fluid to improve oil production. Notably, it focused on iron oxide (Fe3O4) magnetic nanoparticles and their innovative hybridization with multi-walled carbon nanotubes (MWCNT) and nickel oxide (NiO) nanomaterial. A newly designed glass sandpack was employed as the porous medium, thus mirroring real reservoir conditions more accurately. Then, a rigorous full factorial design scrutinized the multifaceted effects of nanoparticle type and concentration when introduced into deionized water during this process. The results showed that microwave radiation, applied at 400 W, dramatically improved oil recovery, catapulting it from a baseline of 19% to an impressive 39.5% during water injection. The addition of magnetic nanoparticles to the base fluid enhances efficiency. However, the specific type of nanoparticle exerts varying effects on oil recovery rates. Notably, the synthesis of Fe3O4–MWCNT nanoparticles had a substantial impact on the ultimate oil recovery factor, achieving approximately 69%. Furthermore, the hybridization of Fe3O4 nanoparticles with MWCNT and NiO nanoparticles leads to reduced consumption (using low weight percentages) while achieving the highest oil recovery rates during the injection process. Finally, the optimization analysis demonstrated that employing 0.34 wt.% of Fe3O4–MWCNT nanoparticles under 400 W of microwave radiation represents the optimal condition for achieving the highest oil production in a sandpack porous medium. Under these conditions, the oil recovery factor can increase to 78%.
Experiencing the diagnosis of pancreatic cancer as an acute threat: a grounded theory study on the diagnostic process of people with pancreatic adenocarcinoma
Authors: Ristau Patrick , Oetting-Roß Claudia , Büscher Andreas 
Published: January 2024

Abstract
Background
Pancreatic cancer is usually diagnosed late and at an advanced stage. Thus, cure is not possible in most cases and the prognosis is often poor.

Objective
This article explores how people with pancreatic cancer experience their diagnostic process.

Methods
Twenty problem-centered interviews with people diagnosed with pancreatic cancer were conducted and analyzed using grounded theory methodology.

Results
We identified a multicausal central phenomenon: people experience the diagnosis of pancreatic cancer as an acute (life) threat. Communication of the diagnosis initiates a process of consideration, self-reflection, and negotiation. It leads to either being unable to handle the diagnosis or to its acceptance, questioning, or rejection. Prognostically unfavorable findings are not accepted as such at first. This process results in rapid treatment initiation or in seeking a second medical opinion.

Conclusion
This paper provides a model of the diagnostic experience of people with pancreatic cancer. In the early phase after diagnosis, neither shared decision-making nor best supportive care strategies appear to be effective. In the future, this knowledge may be used to develop targeted interventions which could be applied during the diagnostic process and support patients.
Climate Change Adaptation Methods for Public Health Prevention in Australia: an Integrative Review
Authors: Walter Tony G. , Bricknell Lisa K. , Preston Robyn G. , Crawford Elise G. C. 
Published: January 2024

Abstract
Purpose of Review
Climate change poses a serious threat to human health and well-being. Australia is not immune to the public health impacts and continues to be underprepared, putting the population health at risk. However, there is a dearth in knowledge about how the Australian public health system will address the impacts of climate change.

Recent Findings
This integrative review synthesises tools, frameworks, and guidance material suitable for climate change adaptation from a preventive public health perspective. The literature search was conducted in electronic databases MEDLINE, PubMed, CINAHL, and Web of Science. Of 4507 articles identified, 19 articles met the inclusion criteria that focused on operational methods in public health and excluded the clinical context and reactive disaster response approaches.

Summary
This review revealed that Australia is ill-prepared to manage climate change adverse health impacts due to ineffective adaptation strategies. The review highlights that Australia urgently requires effective adaptation strategies such as undertaking a National Adaptation Plan process and an improved understanding in managing complex health risks. Taking this action will strengthen the public health system and build health resilience especially for vulnerable populations. These findings will help understand and develop of the necessary adaptive strategies in Australia.
Integrating Levels of Hierarchical Organization in Porous Organic Molecular Materials
Authors: Ferrando-Soria Jesus , Fernandez Antonio 
Published: January 2024

AbstractPorous organic molecular materials (POMMs) are an emergent class of molecular-based materials characterized by the formation of extended porous frameworks, mainly held by non-covalent interactions. POMMs represent a variety of chemical families, such as hydrogen-bonded organic frameworks, porous organic salts, porous organic cages, C − H⋅⋅⋅π microporous crystals, supramolecular organic frameworks, π-organic frameworks, halogen-bonded organic framework, and intrinsically porous molecular materials. In some porous materials such as zeolites and metal organic frameworks, the integration of multiscale has been adopted to build materials with multifunctionality and optimized properties. Therefore, considering the significant role of hierarchy in porous materials and the growing importance of POMMs in the realm of synthetic porous materials, we consider it appropriate to dedicate for the first time a critical review covering both topics. Herein, we will provide a summary of literature examples showcasing hierarchical POMMs, with a focus on their main synthetic approaches, applications, and the advantages brought forth by introducing hierarchy.
Construction of a High-Performance Composite Solid Electrolyte Through In-Situ Polymerization within a Self-Supported Porous Garnet Framework
Authors: Nguyen An-Giang , Lee Min-Ho , Kim Jaekook , Park Chan-Jin 
Published: January 2024

AbstractComposite solid electrolytes (CSEs) have emerged as promising candidates for safe and high-energy–density solid-state lithium metal batteries (SSLMBs). However, concurrently achieving exceptional ionic conductivity and interface compatibility between the electrolyte and electrode presents a significant challenge in the development of high-performance CSEs for SSLMBs. To overcome these challenges, we present a method involving the in-situ polymerization of a monomer within a self-supported porous Li6.4La3Zr1.4Ta0.6O12 (LLZT) to produce the CSE. The synergy of the continuous conductive LLZT network, well-organized polymer, and their interface can enhance the ionic conductivity of the CSE at room temperature. Furthermore, the in-situ polymerization process can also construct the integration and compatibility of the solid electrolyte–solid electrode interface. The synthesized CSE exhibited a high ionic conductivity of 1.117 mS cm−1, a significant lithium transference number of 0.627, and exhibited electrochemical stability up to 5.06 V vs. Li/Li+ at 30 °C. Moreover, the Li|CSE|LiNi0.8Co0.1Mn0.1O2 cell delivered a discharge capacity of 105.1 mAh g−1 after 400 cycles at 0.5 C and 30 °C, corresponding to a capacity retention of 61%. This methodology could be extended to a variety of ceramic, polymer electrolytes, or battery systems, thereby offering a viable strategy to improve the electrochemical properties of CSEs for high-energy–density SSLMBs.
3D-Printed Carbon-Based Conformal Electromagnetic Interference Shielding Module for Integrated Electronics
Authors: Shi Shaohong , Jiang Yuheng , Ren Hao , Deng Siwen , Sun Jianping , Cheng Fangchao , Jing Jingjing , Chen Yinghong 
Published: January 2024

AbstractElectromagnetic interference shielding (EMI SE) modules are the core component of modern electronics. However, the traditional metal-based SE modules always take up indispensable three-dimensional space inside electronics, posing a major obstacle to the integration of electronics. The innovation of integrating 3D-printed conformal shielding (c-SE) modules with packaging materials onto core electronics offers infinite possibilities to satisfy ideal SE function without occupying additional space. Herein, the 3D printable carbon-based inks with various proportions of graphene and carbon nanotube nanoparticles are well-formulated by manipulating their rheological peculiarity. Accordingly, the free-constructed architectures with arbitrarily-customized structure and multifunctionality are created via 3D printing. In particular, the SE performance of 3D-printed frame is up to 61.4 dB, simultaneously accompanied with an ultralight architecture of 0.076 g cm−3 and a superhigh specific shielding of 802.4 dB cm3 g−1. Moreover, as a proof-of-concept, the 3D-printed c-SE module is in situ integrated into core electronics, successfully replacing the traditional metal-based module to afford multiple functions for electromagnetic compatibility and thermal dissipation. Thus, this scientific innovation completely makes up the blank for assembling carbon-based c-SE modules and sheds a brilliant light on developing the next generation of high-performance shielding materials with arbitrarily-customized structure for integrated electronics.
Image Classification and Restoration of Ancient Textiles Based on Convolutional Neural Network
Authors: Sha Sha , Li Yi , Wei Wantong , Liu Yating , Chi Cheng , Jiang Xuewei , Deng Zhongmin , Luo Lei 
Published: January 2024

AbstractAncient textile images have a variety of styles and themes, and the classification of different types of textiles provides a reliable reference for the protection and restoration of cultural relics. Due to the low efficiency of traditional classification methods and the low accuracy of classification, the image restoration of textiles takes longer and the repair effect is poor. Therefore, this paper takes ancient textile images as the research object and selects YOLOv4–ViT collaborative identification network (YOLOv4–ViT network) and generative adversarial networks (GAN) restoration model from a variety of network models to classify and restore ancient textile images. In this work, YOLOv4–ViT network is used to recognize and classify pattern elements in ancient textile images. Then, according to the classification results, restoration training of ancient textiles was carried out using an improved GAN restoration model, for which the final classification accuracy reached 92.78% and the repair result even took only 1.5 s. On this basis, a reliable retrieval and restoration system is designed to realize the repair of damaged textile images, reduce the difficulty of repair, and help users retrieve and browse different categories of ancient textile images, thus solve the problems of slow retrieval speed in traditional retrieval methods and poor restoration effect of ancient textile images.
Predicting Day-Ahead Electricity Market Prices through the Integration of Macroeconomic Factors and Machine Learning Techniques
Authors: Bâra Adela , Oprea Simona-Vasilica 
Published: January 2024

AbstractSeveral events in the last years changed to some extent the common understanding of the electricity day-ahead market (DAM). The shape of the electricity price curve has been altered as some factors that underpinned the electricity price forecast (EPF) lost their importance and new influential factors emerged. In this paper, we aim to showcase the changes in EPF, understand the effects of uncertainties and propose a forecasting method using machine learning (ML) algorithms to cope with random events such as COVID-19 pandemic and the conflict in Black Sea region. By adjusting the training period according to the standard deviation that reflects the price volatility, feature engineering and by using two regressors for weighing the results, significant improvements in the performance of the EPF are achieved. One of the contributions of the proposed method consists in adjusting the training period considering the price variation. Thus, we introduce a rule-based approach given an empirical observation that for days with a higher growth in prices the training interval should be shortened, capturing the sharp variations of prices. The results of several cutting-edge ML algorithms represent the input for a predictive meta-model to obtain the best forecasting solution. The input dataset spans from Jan. 2019 to Aug. 2022, testing the proposed EPF method for both stable and more tumultuous intervals and proving its robustness. This analysis provides decision makers with an understanding of the price trends and suggests measures to combat spikes. Numerical findings indicate that on average mean absolute error (MAE) improved by 48% and root mean squared error (RMSE) improved by 44% compared to the baseline model (without feature engineering/adjusting training). When the output of the ML algorithms is weighted using the proposed meta-model, MAE further improved by 2.3% in 2020 and 5.14% in 2022. Less errors are recorded in stable years like 2019 and 2020 (MAE = 6.71, RMSE = 14.67) compared to 2021 and 2022 (MAE = 9.45, RMSE = 20.64).
A Scoping Review on Malaria Prevention and Control Intervention in Fragile and Conflict-Affected States (FCAS): A Need for Renewed Focus to Enhance International Cooperation
Authors: Pattanshetty Sanjay , Dsouza Viola Savy , Shekharappa Anupama , Yagantigari Maheswara , Raj Rohit , Inamdar Aniruddha , Alsamara Issam , Rajvanshi Harsh , Brand Helmut 
Published: January 2024

AbstractMalaria is a major public health problem in developing countries. The burden of malaria in fragile and conflict-affected states (FCAS) is increasing year by year. Moreover, the population living in FCAS is often the most vulnerable and at high risk of malaria due to factors, such as deteriorating healthcare system, mass relocations, and reduced resilience to shocks. Therefore, this scoping review aims to map the interventions that are conducted at the FCAS on malaria prevention among the general population. In addition, this review can help policy-makers and international health bodies, providing a comprehensive overview that can lead to more targeted, effective, and context-specific interventions. Databases, such as PubMed, EBSCO-CINAHL, Web of Science, ProQuest, and Cochrane Central Register of Controlled Trials, were searched using specified search terms. A total of 3601 studies were retrieved from the search. After screening, 62 studies were included in the synthesis that met the eligibility criteria. Narrative analysis of the findings was done. The results revealed that in fragile countries, interventions for children below 5 years of age included IPTi, TDA, and ACT. In conflicted countries, interventions for children below 5 years of age included TDA, LLINs, SMC, drug trials, and vaccination. Similar interventions were reported for other age groups and populations. Despite ongoing conflicts, malaria interventions have been maintained in these countries, but a persistent high burden of malaria remains. To achieve the goals of malaria elimination, the results of the review highlight the need for continued research and evaluation of malaria control interventions to assess their effectiveness and impact. Strengthening health systems, building partnerships, utilizing digital health technologies, and conducting context-specific research are recommended to improve healthcare access and reduce the burden of malaria in FCAS.
A Survey of How Archaeological Repositories Are Managing Digital Associated Records and Data
Authors: Rivers Cofield Sara , Childs S. Terry , Majewski Teresita 
Published: January 2024

ABSTRACTArchaeologists are taught about the importance of professional recordation and our ethical obligations to those associated records and data. These teachings imply that practitioners are meeting a professional standard of recordation that will stand the test of time, but the ongoing digital revolution is changing the way records and data are created and preserved. Best practices for the management and use of digital archaeological records have been published, and devoted digital archives offer these services. However, the ability of traditional archaeological repositories to adopt best practices or pay for digital curation is poorly understood. This article presents the results of a survey asking how the flood of digital records and data has impacted the ability of archaeological repositories to collect, manage, preserve, use, and make accessible digital archaeological records and data. Are repositories adopting the best practices that have been outlined? What kinds of challenges do repositories face regarding digital records and data? Are they being overcome successfully? The survey results offer a snapshot of current practice and point to future directions that should be pursued to ensure that the discipline is meeting its professional obligations.
Working Ethically with Ancient DNA from Composites in the United States
Authors: Johnson Taryn , Thakar Heather B. , Watkins Joe , Linderholm Anna 
Published: January 2024

AbstractThis article discusses ethical frameworks for planning and implementing composite research in the United States. Composites, defined here as archaeological materials with multiple genetic sources, include materials such as sediment, coprolites, birch pitch, and dental calculus. Although composites are increasingly used in genetic research, the ethical considerations of their use in ancient DNA studies have not been widely discussed. Here, we consider how composites’ compositions, contexts, and potential to act as proxies can affect research plans and offer an overview of the primary ethical concerns of ancient DNA research. It is our view that ethical principles established for analyses of Ancestral remains and related materials can be used to inform research plans when working with composite evidence. This work also provides a guide to archaeologists unfamiliar with genetics analyses in planning research when using composite evidence from the United States with a focus on collaboration, having a clear research plan, and using lab methods that provide the desired data with minimal destruction. Following the principles discussed in this article and others allows for engaging in composite research while creating and maintaining positive relationships with stakeholders.