bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk Budgeting Allocation for Dynamic Risk Measures
Authors: Pesenti Silvana M. , Jaimungal Sebastian , Saporito Yuri F. , Targino Rodrigo S. 
Published: December 2024

Time-Consistent Diversified Portfolio Allocations Portfolio allocation problems typically involve diversification of risks, which can be achieved by risk budgeting strategies. Of additional importance is being time consistent—that is, ensuring that decisions about what to do in the future under certain outcomes remain optimal when those future outcomes are realized. In “Risk Budgeting Allocation for Dynamic Risk Measures,” Pesenti, Jaimungal, Saporito, and Targino develop time-consistent portfolio strategies, termed dynamic risk budgeting strategies, where the diversification is on the level of risk contribution of assets. The authors formalize the dynamic setting of risk budgeting strategies, recast dynamic risk budgeting strategies as solutions of sequences of convex optimization problems, and develop an efficient actor-critic deep reinforcement learning algorithm for estimating dynamic risk budgeting strategies. The algorithm and the dynamic risk budgeting strategies are illustrated on a complex simulation case study involving five assets and 12 time steps.
Characterizing Automatically Maintained Self-Injury With the Aberrant Behavior Checklist
Authors: King Hunter C. , Kurtz Patricia F. , Chin Michelle D. , Falligant John Michael 
Published: December 2024

Abstract
Multidimensional variables linked to repetitive behavior, hyperactivity, and mood dysregulation are correlated with the prevalence and severity of self-injurious behavior (SIB) in individuals with intellectual and developmental disabilities (IDD). The purpose of this exploratory study was to examine differences in Aberrant Behavior Checklist (ABC) subscales between individuals with socially maintained SIB and automatically maintained SIB (ASIB). Overall, there were not significant differences in ABC subscale elevations between the SIB and ASIB groups. However, when ASIB was stratified into distinct subtypes, notable differences in subscale elevations were observed. Our results indicate the ABC may have utility for further characterizing the neurobehavioral divergence among individuals with IDD who engage in self-injury.
Simulation study on ultra-wideband and ultra-narrowband switchable terahertz metamaterial absorbers based on deep neural networks
Authors: Yan Rui , Wang Kai , Luo Qi , Li Jing 
Published: December 2024

Supported by deep neural networks (DNNs), a simulation study on an ultra-wideband (UWB) to ultra-narrowband (UNB) switchable terahertz metamaterial absorbers (THz MAs) was designed and optimized. By leveraging the phase transition properties of vanadium dioxide (VO2), the device achieves nearly perfect absorption, switching between UWB and UNB modes. Finite element analysis was used to simulate and analyze the constructed model. Simulation results indicate that when VO2 is in its metallic state, the device functions as a UWB absorber with an absorption bandwidth of 11.54 THz over the 3.88–15.42 THz range, achieving an absorption rate exceeding 90% and a relative bandwidth (RBW) of 119.6%. When VO2 is in its insulating state, the device switches to a UNB absorber, reaching an absorption rate close to 100% at 13.927 THz. In this state, material detection was conducted, revealing that the device has a maximum refractive index sensitivity (S) of 0.33 THz/RIU and a corresponding quality factor (Q) of up to 515.8, enabling high sensing functionality. Its absorption performance is insensitive to TE and TM polarizations. Additionally, the effects of incident and polarization angles on the operating characteristics were studied. The proposed absorber demonstrates excellent polarization insensitivity, angle stability, and UWB and UNB advantages, offering valuable insights for new multifunctional THz device research. It holds significant application potential in short-range wireless THz communication, ultra-fast optical switching, sensing, transient spectroscopy, and electromagnetic stealth.
Self-Supervised, Experiment-Free Neural Network for Hologram Reconstruction Using Physics Consistency
Authors: Huang Luzhe , Chen Hanlong , Liu Tairan , Ozcan Aydogan 
Published: December 2024

We presented a self-supervised learning framework that leverages sythetic artificial training data and physics consistency loss, eliminating the need for capturing experimental data, and demonstrated its superior generalization to unseen real-world samples than competitve methods.
Full-text article not available; see video presentation
Second-line systemic treatment for metastatic colorectal cancer: A systematic review and Bayesian network meta-analysis based on RCT
Authors: Sun Chengyu , Fan Enguo , Huang Luqiao , Zhang Zhengguo 
Published: December 2024

Background
The optimal second-line systemic treatment for metastatic colorectal cancer (mCRC) is inconclusive.

Methods
We searched PubMed, Web of Science, EMBASE, and Cochrane Library for RCTs comparing second-line systemic treatments for mCRC from the inception of each database up to February 3, 2024. Markov Chain Monte Carlo (MCMC) technique was used in this network meta-analysis (NMA) to generate the direct and indirect comparison results among multiple treatments in progression-free survival (PFS), overall response rate (ORR), overall survival (OS), complete response (CR), partial response (PR), grade 3 and above adverse events (Grade ≥ 3AE), and any adverse events (Any AE). The surface under the cumulative ranking curve (SUCRA) was adopted to evaluate the probability of each treatment being the optimum intervention. Subgroup analyses were performed based on the RAS gene status.

Results
A total of 47 randomized controlled trials were included, involving 16,925 patients and 44 second-line systemic treatments. In improving OS, FOLFOX + Bevacizumab + Erlotinib exhibited significant superiority (SUCRA:92.7%). In improving PFS, Irinotecan + CMAB009 (SUCRA:86.4%) had advantages over other treatments. FOLFIRI + Trebananib (SUCRA:88.1%) had a significant advantage in improving ORR. Among multiple second-line treatments, the SUCRA values of FOLFOX + Bevacizumab in PFS, OS, ORR, and PR were 83.4%, 74.0%, 81.1%, and 86.1%, respectively, and the safety was not significantly different from other interventions. Subgroup analyses showed that FOLFIRI + Bevacizumab + panitumumab ranked among the top in survival outcomes in the RAS-mutant population (OS SUCRA: 87.9%; PFS SUCRA: 70.2%); whereas in the RAS-wild-type population, FOLFIRI + Bevacizumab significantly improved survival outcomes (OS SUCRA: 73.2%; PFS SUCRA: 65.1%).

Conclusion
For most people, FOLFOX + Bevacizumab may be the best second-line systemic treatment regimen for mCRC. For RAS-mutant populations, FOLFIRI + Bevacizumab + Panitumumab is recommended. However, the therapeutic effect may be affected by the patient’s physiological state, and clinicians should apply it based on actual conditions.
Comparative analysis of patient-reported outcomes in joint arthroplasty surgeries
Authors: Äärimaa Ville , Kohtala Karita , Mäkelä Keijo , Karvonen Mikko , Arimaa Anssi , Ryösä Anssi , Kostensalo Joel , Kaivonen Fanny , Laaksonen Inari 
Published: December 2024

Background
This study aims to report and analyze disease-specific patient-reported outcome measure (PROM) effect size (ES) variations, in patients undergoing major arthroplasty surgery.

Material and methods
All institution-based data of primary knee, hip, or shoulder arthroplasty patients at Turku University hospital (Finland) between January 2020 –December 2022 were collected, and treatment outcome assessed as a PROM difference between baseline and one-year follow-up. PROM ES were calculated for each patient and patient group separately, and patients with ES >0.5, were considered responders. Factors contributing to patient outcome and differences between patient groups were investigated using linear models and non-parametric methods.

Results
2580 patients were operated (complete follow-up data on 1828 patients). 1110 (61%) of the patients were female, and mean age was 69 years (SD 10). The mean ES across all patient groups was 2.64 (SD 1.29) and the biggest ES was observed in shoulder patients and the smallest in knee patients. Smaller ES was statistically significantly associated with higher preoperative PROM, higher ASA class, and old age. The percentage of responders was highest for shoulder patients (97.7%), followed by hip patients (96.8%), and lowest for knee patients (92.5%).

Conclusion
The observed ES for joint arthroplasty surgeries is high. However, there are significant disparities among patients with primary knee, hip, and shoulder joint arthroplasty surgery. These variations are mainly due to differences in preoperative PROM score and may be attributed to differences in patient selection. We recommend that prior to shared decision-making, preoperative scores are thoroughly reviewed with the patient, along with other patient specific factors that may influence the end result of the treatment.
Zbtb7b defines a compensatory mechanism in MASLD‐related HCC progression by suppressing H19‐mediated hepatic lipid deposition
Authors: Han Yinglin , Wu Kaimin , Peng Xin , Fu Yinkun , Li Wenyan , Ma Jing , Jiang He , Zhao Xu‐Yun 
Published: December 2024

AbstractHepatocellular carcinoma (HCC) is a widely prevalent type of primary liver cancer. However, strategies for pretumor intervention are still limited. In this study, a liver‐specific Zbtb7b knockout mouse model was used to evaluate the role of Zbtb7b in metabolic dysfunction‐associated steatotic liver disease (MASLD)‐related HCC development. We revealed that Zbtb7b was compensatively increased and restricted lipid deposition in the liver during MASLD progression, which protects against MASLD‐related HCC initiation. Mechanistically, Zbtb7b suppresses the expression of the long noncoding RNA H19 to attenuate hepatic de novo lipogenesis and increase fatty acid oxidation, thereby preventing lipid accumulation in hepatocytes. As a result, the proliferation and migration abilities of HCC cells are reduced. Overall, we demonstrated that Zbtb7b serves as a tumor suppressor at an early stage of HCC, thus providing a promising target for the treatment of HCC at a premalignant stage.
High-performance breast cancer diagnosis method using hybrid feature selection method
Authors: Moradi Mohammad , Rezai Abdalhossein 
Published: December 2024

Abstract

Objectives
One of the primary causes of the women death is breast cancer. Accurate and early breast cancer diagnosis plays an essential role in its treatment. Computer Aided Diagnosis (CAD) system can be used to help doctors in the diagnosis process. This study presents an efficient method to performance improvement of the breast cancer diagnosis CAD system using thermal images.

Methods
The research strategy in the proposed CAD system is using efficient algorithms in feature extraction and classification phases, and new efficient feature selection algorithm. In the feature extraction phase, the Segmentation Fractal Texture Analysis (SFTA) algorithm that is a texture analysis algorithm is used.This algorithm utilizes two-threshold binary decomposition. In the feature selection phase, the developed feature selection algorithm, which is hybrid of binary grey wolf optimization algorithm and firefly optimization algorithm, is applied to extracted features. Then, the kNN, SVM, and DTree classification techniques are applied to check whether the selected features are efficiently discriminated the group successfully with minimal misclassifications.

Results
The DMR database is utilized for performance evaluation of the proposed method. The results indicate that the obtained accuracy, specificity, sensitivity, and MCC are 97, 96, 98, and 94.17 %, respectively.

Conclusions
The developed breast cancer diagnosis method has advantages compared to other breast cancer diagnosis using thermal images.
Mechanical behavior of designed AH32 steel specimens under tensile loading at low temperatures: Strength and failure assessments based on experimentally verified FE modeling and analysis
Authors: Arfandi Ahzhan Muhammad Fauzan , Suryanto Suryanto , Prabowo Aditya Rio , Muttaqie Teguh , Do Quang Thang , Santoso Budi , Laksono Fajar Budi , Nubli Haris 
Published: December 2024

Abstract
This research investigates the mechanical behavior and performance of AH32 steel when subjected to low temperatures, particularly in the context of ship hull structures operating in cryogenic environments. The study uses experimental procedures and advanced numerical simulations through ABAQUS CAE to evaluate vital mechanical properties such as Young’s modulus, yield stress, ultimate tensile strength, and fracture toughness across temperatures ranging from 20 to −160°C. The results reveal a consistent trend of increasing strength and decreasing ductility at lower temperatures, with validation achieved through an error margin of less than 10%. The findings underscore the material’s suitability for cryogenic applications but highlight the potential for brittle fracture, necessitating careful design considerations in Arctic or liquefied natural gas transport conditions. However, the study is limited to specific geometric configurations and loading conditions, suggesting that future research should explore additional geometries, fatigue behavior, and long-term performance under varying environmental conditions to assess the material’s viability in extreme environments fully.
The Evolution of Job Displacement in the Age of AI and Automation: A Bibliometric Review (1984–2024)
Authors: Subaveerapandiyan A. , Shimray Somipam R. 
Published: December 2024

Abstract
This study presents a comprehensive bibliometric analysis of the scientific literature about artificial intelligence (AI), automation, and job displacement from 1984 to 2024. Utilizing the Scopus database, 225 relevant documents were retrieved and analysed using R Studio and VOSviewer. The analysis reveals significant trends in publication growth, citation metrics, and collaborative networks among researchers and institutions. Notable findings indicate a marked increase in research output during key technological advancements, highlighting the evolving discourse surrounding the implications of AI and automation on the workforce. This study identifies prevailing themes within the literature through keyword analysis and explores the interconnectedness of research contributions across various domains. This bibliometric review aims to provide a foundational understanding of the current landscape and future directions in studying AI, automation, and job displacement.
Täler tief, Berge hoch
Authors: Koslowski Stefan , Vuilleumier Julien 
Published: December 2024

Abstract
Aus kulturpolitischer Perspektive ist die UNESCO Convention for the Safeguarding of the Intangible Cultural Heritage ein globaler Gewinner. Sie ist eines der erfolgreichsten internationalen Übereinkommen im Kulturbereich. Dennoch glauben die Autoren, dass diese Konvention – zumindest in der Schweiz – in der Kulturpolitik oft unterschätzt und insbesondere immer noch nicht adäquat umgesetzt wird. Daher bleiben die Stärken und die Dynamik des grundlegenden Bottom-up-Ansatzes der Konvention großenteils ungenutzt. In ihrer Analyse werden sich die Autoren auf verschiedene Schlüsselentscheidungen beziehen, die für die Umsetzung der Konvention in der Schweiz getroffen wurden. Besonderes Augenmerk wird gelegt auf die Erstellung des Verzeichnisses und der UNESCO-Bewerbungen, die Einbeziehung der Traditionsträger sowie die zur Wahrung des immateriellen kulturellen Erbes getroffenen Maßnahmen.
Images of Living Culture
Authors: Simonigh Chiara 
Published: December 2024

Abstract
The search for a possible unity in cultural multiplicity, or in other words, for an anthropologically sharable meaning, can arise from pluralistic dialogue in the aesthetic sphere that involves sensible knowledge or understanding. Since the audiovisual puts concrete acts and specific gestures into an aesthetic form, it offers the possibility of an empirical exchange with otherness, mobilising the sensorium in the perception and understanding of our diversity and at the same time our similarity to the other. In the audiovisual, observing the practices of the intangible cultural heritage of others can potentially raise awareness of, interest in, and give value to that which is not identical, contributing to the development of a pluralist paradigm of thought, open to diversity. Audiovisual works that artistically represent cultural heritage practices related to manual agricultural labour can amplify our understanding of the other, even of those marginalised by globalization.
Lignin charcoal/preparation of chitosan composite membrane and H2S adsorption properties
Authors: Yang Dongdong , Yang Ying , Li Fen , Zheng Menglong , Chen Huiyu , Wang Ruiying , Li Qiushuang 
Published: December 2024

Abstract
In this study, chitosan was first used as the raw material for filmmaking, and the film-forming conditions were optimized to prepare six kinds of chitosan-based membranes, and then charcoal composite membrane materials were prepared by adding different amounts of lignin charcoal to fill in the base membranes; the adsorption performance of the composite membrane was analyzed using H2S as the target, and the mechanical properties and structure of the composite membrane were explored using various testing techniques. The experimental results showed that the chitosan-based membrane could adsorb a certain amount of H2S due to its hydroxyl-rich surface. When lignin carbon was added to it, and with the increase of the content of lignin carbon, the performance of the membrane adsorption of H2S was improved, but the mechanical properties decreased, and in a comprehensive comparison of the adsorption performance and mechanical properties of the composite membrane, which had a better adsorption length of H2S adsorption of 84 min and the tensile strength of 1.65 MPa. The pore structure in the composite membrane due to microphase separation and the exposure of oxygen-containing functional groups on the surface of the base membrane and charcoal were the main reasons for the effective retention of H2S.
Probability evaluation of the ternary polymerization and reactivity ratio of bio-based PA5T/56
Authors: Meng Chihan , Zhang Feng , Zhong Jiachun , Pu Zejun , Wu Wenhui , Yang Yuhao 
Published: December 2024

Abstract
Bio-based PA5T/56 was successfully prepared by a self-developed and novel modulated polymerization on this condition when the relationship between temperature and pressure was strictly controlled during the process to render the reactivity ratio of each monomers basically the same. In this case, the obtained PA5T/56, with approximately alternating copolymerization structure, possesses better physical and chemical performance and melt flowing properties. Meanwhile, the real-time sampling and testing was operated during the process to get the experimental values of reactivity ratio. Furthermore, the chain growth process of the ternary polymerization reaction was also calculated and simulated by referring to the Mayo-Lewis formula as well as using the Monte Carlo method, and a probabilistic statistical treatment for estimating the reactivity ratio was given. Finally, by comparing the results, it could be found that the experimental values of the reactivity ratio in general accord in the calculated values with reference to the Mayo–Lewis formula and the simulated values of the mathematical model, the values of r
12 and r
13 are basically the same, which confirmed the successful synthesis of the bio-based PA5T/56 with approximately alternating copolymerization structure, and that the established mathematical model for estimating the reactivity ratio is relatively accurate and is applicable to the ternary polymerization.
A Scoping Review of Interventions Aimed at Reducing Fear of Falling in Older Adults With Orthopedic Conditions
Authors: Johari Sahar , MacDermid Joy , Parikh Pulak , Grewal Ruby 
Published: December 2024

Background and Purpose:
Fear of falling (FoF) is a persistent anxiety regarding the risk of falling, which can even impact individuals without a history of falls. Fear of falling has been associated with decreased physical functioning and increased risk of falls. Most interventions have focused on reducing FoF in healthy older adults. This study aimed to review the literature’s scope, nature, and content related to FoF interventions in older adults with orthopedic conditions.

Methods:
A scoping literature review was conducted. The method steps included identifying the research question, identifying relevant studies, selecting the studies, charting the data, and synthesizing, summarizing, and reporting the results. Cochrane Library, Medline, PsycINFO, Embase, ProQuest, and Google Scholar were searched. The search strategy used a set of key concepts, including “Fear of Falling,” “Orthopedic conditions,” “Interventions,” and “Older adults.”

Results and Discussion:
Out of the 33 articles that fulfilled the inclusion criteria, 21 were randomized control trials (RCTs), 5 were RCT protocols, 3 were quasi-experimental studies, 2 employed pre-post designs, 1 was a prospective cohort study, and 1 was an experimental study. The review revealed 7 distinct categories of interventions: exercise training, cognitive behavioral therapy, enhanced occupational or physical therapy (OT or PT), motivational interviews, interdisciplinary interventions, education, and mind-body intervention. The Falls Efficacy Scale (FES) was the most frequently used outcome measure for assessing FoF. Other measures were the Fear of Falling Questionnaire (FoFQ), the International Physical Activity Questionnaire (IPAQ), and the Perceived Ability to Manage Fall (PAMF). The studies varied in their reasoning, content, and how they reported findings, posing challenges for healthcare professionals in choosing and applying FoF intervention programs specific to various orthopedic conditions.

Conclusion:
This review highlighted the need for adopting more comprehensive approaches for assessing and addressing FoF in older adults with orthopedic conditions.
ALGUMAS REFLEXÕES ACERCA DA HISTÓRIA E DA CULTURA AFRO-BRASILEIRA NO MUNICÍPIO DO RIO GRANDE
Authors: Burgert Schiavon Carmem 
Published: December 2024

Resumo: O presente texto visa apresentar algumas reflexões acerca dos resultados – parciais – do Projeto de Extensão intitulado “Mapeamento, análise e universalização de políticas afirmativas voltadas à inserção curricular da História e da Cultura Afro-Brasileira no Município do Rio Grande”, financiado pelo Programa de Extensão Universitária (ProExt) do Ministério da Educação, o qual objetiva o mapeamento sobre a institucionalização da Lei 10.639/2003 em nível municipal, com vistas a diagnosticar os avanços e limitações da implantação destas políticas nas escolas municipais locais, de forma a trazer subsídios para os órgãos competentes no que se refere à adoção de medidas necessárias à redução das desigualdades, dos silêncios e do preconceito com as comunidades remanescentes da cultura afro-brasileira.Abstract: This paper aims to provide some thoughts about the results - partial - Extension project titled "Mapping, analysis and universalize focused on curriculum integration of history and Afro-Brazilian Culture in Rio Grande affirmative action", funded by the Program University Extension (PROEXT) of the Ministry of Education, which aims at mapping on the institutionalization of Law 10.639/2003 at the municipal level, in order to diagnose the advances and limitations of the implementation of these policies in the local public schools in order to provide support to the relevant bodies with regard to the adoption of measures necessary to reduce inequalities, silences and prejudice to the remaining communities african-Brazilian culture.