bluuebunny/crossref_metadata_2025_split huggingface dataset:
Herleitung der Forschungsfrage
Authors: Schlachter Sabrina 
Published: December 2024

ZusammenfassungIn diesem Kapitel wird die Forschungslücke herausgearbeitet und anschließend die Formulierung der Fragestellung der Dissertation erläutert. Zusammengefasst besteht die Forschungslücke darin, dass medienbezogene Bildungsprozesse bisher nicht in einem Interaktionsgefüge beforscht wurden und es bisher kaum Forschung zum allgemeinen Ablauf von der Mediennutzung bis hin zu medienbezogenen Bildungsprozessen gibt. Insofern wurde folgende Forschungsfrage formuliert, die ergebnisoffen gehalten ist sowie die rekonstruktive, auf subjektive Beschreibungen beruhende Herangehensweise der Erforschung von Bildungsprozesse beinhaltet: Inwieweit nehmen Paare medienbezogene Bildungsprozesse im Zusammenhang mit den Interaktionen ihrer Beziehung wahr?
Forschungsdesign
Authors: Schlachter Sabrina 
Published: December 2024

ZusammenfassungIn diesem Kapitel wird die konkrete Umsetzung der Datenerhebung und -auswertung beschrieben. Es werden die zur Erhebung genutzten Medientagebücher und leitfadengestützten Paarinterviews dargestellt und der Ablauf der Rekrutierung und Datenerhebung beschrieben. Darauf folgt die Darstellung des Samples und dessen Grenzen. Im Anschluss daran wird der Ablauf der Datenaufbereitung dargelegt. Es wird das Datenanalyseverfahren erläutert. Abschließend wird das Vorgehen in Bezug auf den Datenschutz ausgeführt.
“Fresh Start” Messaging, “Rebirth Associations,” and Consumers’ Environmentally Sustainable Actions
Authors: Strizhakova Yuliya , Coulter Robin A. , Price Linda L. 
Published: December 2024

AbstractWhat do consumers do with their used clothing, books, and children’s toys? In this research, we introduce metaphoric “fresh start” messaging as an effective tactic to encourage consumers to engage in environmentally sustainable actions of donating used products for remanufacture or reuse. Drawing on conceptual metaphor theory and construal theory, we contrast metaphoric “fresh start” messaging with dominant “reduce waste” and “recycle” non-metaphoric environmental messages. Across six experimental studies, metaphoric “fresh start” messaging is more effective in increasing environmentally sustainable actions, including used product donations and donation intentions. The effectiveness of metaphoric “fresh start” messaging is grounded in its activation of abstract thinking as “rebirth associations,” thoughts around new beginnings, renewal, and new life. We examine the effectiveness of metaphoric “fresh start” (vs. non-metaphoric environmental) messaging with the use of “fresh start” temporal landmarks (New Year’s Day and Earth Day) and find that metaphoric “fresh start” messaging, with or without these temporal landmarks, is more effective in triggering abstract thinking as “rebirth associations.” Our work substantiates the power of metaphoric “fresh start” messaging in encouraging consumers’ environmentally sustainable actions and has significant implications for the use of conceptual metaphors in marketing messages.
Verb-echo answers to a certain type of questions in Nanjing Mandarin
Authors: Tan Qinyi 
Published: December 2024

AbstractA verb-echo answer (VEA) is a short answer that repeats the verb from the preceding polar question. This study examines VEAs to a particular type of polar question in a Chinese dialect, Nanjing Mandarin (NM), and argues that VEAs are derived through head movement and clausal ellipsis. This paper provides various evidence to support this analysis by showing that VEAs are compatible with undroppable subjects and that idiom chunks are understood in VEAs. It also shows that VEAs allow real adjunct-including readings. In addition, this study presents a novel finding concerning the verb-initial construction in NM, suggesting that V-to-C movement is permissible. The analysis leads to two consequences concerning head movement: violations of Head Movement Constraint cannot be repaired by clausal ellipsis, and the instance of head movement observed in this paper is a syntactic operation.
Disagreeing softly: Supporting students in managing disagreement in peer critique
Authors: Zhou Jinzhi , Hmelo-Silver Cindy E. , Ryan Zach , Stiso Christina , Murphy Danielle , Danish Joshua , Chinn Clark A. , Duncan Ravit Golan 
Published: December 2024

AbstractDisagreement is often perceived negatively, yet it can be beneficial for learning and scientific inquiry. However, students tend to avoid engaging in disagreement. Peer critique activities offer a promising way to encourage students to embrace disagreement, which supports learning as students articulate their ideas, making them available for discussion, revision, and refinement. This study aims to better understand how students express disagreement during peer critique within small groups and how that affects moving their inquiry forward. It explores 5th-grade students’ management of disagreement within a computer-supported collaborative modeling environment. Using conversation analysis, we identified various forms of disagreements employed by students when engaging with different audiences. We observed a tendency for students to disagree softly; that is, disagreement was implied and/or mitigated. Students’ resolution of both direct and soft disagreements effectively promoted their collective knowledge advancement, including building shared scientific understanding and improving their models, while maintaining a positive socio-emotional climate. These findings have implications for designing CSCL environments with respect to supporting students in providing and responding to peer critiques at the group level.
Diabetes Care Disparities in Deaf/Hard of Hearing and Blind/Low Vision Populations
Authors: Hughes Allyson S. , Mirus Karissa , Heydarian Nazanin M. , Litchman Michelle L. 
Published: December 2024

Abstract
Purpose of Review
Describe the connection between Deaf/hard of hearing (DHH) and diabetes, explain the bidirectional relationship of blind/low vision (BLV) and diabetes, characterize challenges DHH and BLV populations face when seeking healthcare regarding their diabetes management. Highlight the inaccessibility of diabetes technology in these populations. Provide best practices when communicating with DHH and BLV people in the clinical setting.

Recent Findings
Diabetes disparities exist in DHH and BLV populations due to systemic barriers to health equity related to access and communication. Structural barriers, risk factors, social determinants of health, and the U.S. healthcare system do not support the DHH and BLV communities. Importantly, healthcare professionals do not receive adequate training on communication and treatment of DHH and BLV populations. Together, social determinants of health, such as healthcare access and quality, education access and quality, and lack of adequate clinician training allow ableism to persist and drive health disparities in these communities.

Summary
Health disparities faced by DHH and BLV populations are driven by barriers to diabetes standards of care. These inequities must be rectified to improve and maintain high quality care.
Analysis and machine-learning-based prediction of beach accidents on a recreational beach in China
Authors: Li Yuan , Tang Jialin , Zhang Chi , Li Qinyi , Chi Shanhang , Zhang Yao , Qi Hongshuai , Zhang Chuang 
Published: December 2024

AbstractBeachgoers are sometimes exposed to coastal hazards, yet comprehensive analyses of characteristics and potential factors for beach accidents are rarely reported in China. In this study, information on beach accidents was collected on a recreational beach from 2004 to 2022 by searching the web or apps. The characteristics of beach accidents were therefore analysed in terms of age, gender, and activity of beachgoers. The potential factors were resolved in environmental aspects of meteorology, waves, tides, and beach morphology. Results show that beach accidents mainly occur in summer, with the highest occurrence in the afternoon and evening. The number of male beachgoers in accidents is five times higher than that of females. 90% of accidents occur when the beach is at a high-risk level for rip currents, providing evidence for the accuracy of the risk map built in a previous study. Three machine learning models, i.e., Support Vector Machine, Random Forest, and BP Neural Networks, are trained to predict beach accidents. The performances of these three machine learning algorithms are evaluated in terms of precision, recall, and F1 score. Support Vector Machine and BP Neural Networks significantly outperform Random Forest in terms of prediction. The accuracy in predicting "safe" and "dangerous" classes is approximately 80% of the Support Vector Machine model. This paper provides a preliminary study of machine learning based beach accident prediction for a specific tourist beach. In the future, machine learning will be applied to predict tourist beach accidents throughout mainland China.
RAD51 and RAD50 genetic polymorphisms from homologous recombination repair pathway are associated with disease outcomes and organ toxicities in AML
Authors: Mohseni Alireza , Toogeh Gholamreza , Rostami Shahrbano , Faranoush Mohammad , Sharifi Mohammad Jafar 
Published: December 2024

Abstract
Background
Acute myeloid leukemia (AML) is a heterogeneous malignancy that responds to various therapies. The sensitivity of leukemia cells to chemotherapy is affected by the DNA damage response (DDR). In this study, we examined the association between RAD51 rs1801320, XRCC3 rs861539, NBS1 rs1805794, MRE11 rs569143, and RAD50 rs2299014 variants of the homologous recombination repair (HRR) pathway and AML outcomes.

Material and methods
PCR–RFLP was applied for the genotyping of 67 newly diagnosed cases. We performed Sanger sequencing to confirm the results of RFLP genotyping. Outcomes and organ toxicities were collected and χ2 testing was performed for association analysis.

Results
RAD50 variant allele carriers were protected from renal and hepatic toxicities (p = 0.024 and p = 0.045, respectively), and were associated with resistant disease (p = 0.001). RAD51 variant alleles were protected from liver toxicity (p = 0.031) and correlated with disease resistance (p = 0.012).

Conclusion
RAD50 rs2299014 and RAD51 rs1801320 polymorphisms may be useful for drug adjustment in AML.
On the Relationship Between Traveling Atmospheric Disturbances and Traveling Ionospheric Disturbances
Authors: Liu Bowei , Liu Jing , Liu Xuanqing , Li Shuhan , Liu Libo 
Published: December 2024

AbstractAs the typical thermospheric/ionospheric wave, traveling atmospheric disturbances (TADs)/traveling ionospheric disturbances (TIDs) always carry and transfer a large amount of energy and momentum during geomagnetic storms. In this study, we conducted a model simulation to explore the relationship between TADs and TIDs. Our term analysis indicates that neutral wind transport plays an essential role in coupling TIDs with TADs. Meanwhile, ambipolar diffusion and photochemical processes act as dissipative mechanisms at relatively high and low altitudes, respectively. Further analysis along the tracks of TADs shows that the two manifestations of TIDs, the peak height and density of the F2 layer ( and ) perturbations, are anti‐correlated. This anticorrelation is driven by neutral wind transport caused by plasma density gradients near . When TIDs manifest as Total Electron Content (TEC) perturbations, neutral wind perturbations (TADs) modulate TIDs through photochemical processes by raising and lowering the ionosphere. Finally, we discuss how TADs modulate TIDs at different altitudes, latitudes, and hemispheres. We demonstrate that the hemispheric asymmetry of the O/N2 ratio leads to a corresponding hemispheric asymmetry in TIDs. Our findings enhance the understanding of how the thermosphere and ionosphere are coupled through waves and how energy and momentum are exchanged in the thermosphere‐ionosphere system via these waves.
Mobile photon counting detector CT with multi material decomposition methods for neuroimaging of patients in intensive care unit
Authors: Park Su-Jin , Han Kwanhee , Park Junyoung , Min Jonghwan , Wu Dufan , Kim Doil , Kang Kyutae , Lee Duhgoon , Gupta Rajiv , Jung Jinwook 
Published: December 2024

AbstractThe photon-counting detector computed tomography (PCD-CT) is a promising new technology that provides more spectral information in medical imaging. PCD-CT enables bedside imaging in the neuro intensive care unit (neuro ICU) for patients with life-threatening conditions such as brain hemorrhage and ischemic stroke. The primary purpose of this study is to evaluate a multi-material decomposition algorithm available on PCD-CT, dubbed MD Plus, to differentiate between contrast agent and hemorrhage in hyperdense lesions. A certified multi-energy phantom was used to validate its performance with various x-ray exposure conditions and locations of contrast agent. The results from the quantitative analysis of multi-energy phantoms and the clinical cases of patients in the ICU demonstrated that MD Plus can accurately differentiate between the contrast agent and the hemorrhage. The extended MD Plus algorithm, including virtual non-contrast (VNC) and bone removal, was also validated for various clinical applications.
Tephra fallout hazard assessment for a hydrovolcanic eruptive scenario in Mayotte
Authors: Michaud-Dubuy Audrey , Komorowski Jean-Christophe , Lacombe Tristan , Gurioli Lucia 
Published: December 2024

AbstractThe new submarine volcano Fani Maoré offshore Mayotte (Comoros archipelago) discovered in 2019 has raised the awareness of a possible future eruption in Petite-Terre island, located on the same 60 km-long volcanic chain. In this context of a renewal of the volcanic activity, we present here the first volcanic hazard assessment in Mayotte, focusing on the potential reactivation of the Petite-Terre eruptive centers. Using the 2-D tephra dispersal model HAZMAP and the 1979 $$-$$ 2021 meteorological ERA-5 database, we first identify single eruptive scenarios of various impacts for the population of Mayotte. Even when considering the least impacting scenario, we show that ~ 30,000 people could be threatened by a future explosive eruption in the highly densely populated island of Petite-Terre. We then use a Monte Carlo approach to sample a series of eruptive scenarios and produce a probabilistic map allowing a long-term vision of the tephra fallout hazard in Mayotte. Finally, we discuss the probability of the different eruptive scenarios based on new field data and show that both Mamoudzou (Grande-Terre) and Petite-Terre could be impacted by at least 5 to 40 cm of tephra. These crucial results will be included in Mayotte’s first volcano emergency plan.
Similarity based task timely termination method for image based intelligent agents
Authors: Jie Sheng , Huang Xing , Jing Chengxi , Jiang Xian , Dong Ligang 
Published: December 2024

AbstractDue to the hallucination of the underlying large language model(LLMs) or the unclear description of the task’s ultimate goal, the agents have become somewhat confused. Despite having completed tasks, they have not ceased working, leading to a waste of resource. We propose similarity-based task timely termination method for image-based intelligent agents, This method involves recording the scenario state after the completion of each sub-task and comparing it with the fully completed task scenario state using a structural similarity method. The result is quantified and standardized into a structural similarity index, which is used to judge whether the task has been completed. Moreover, we categorize the types of agents based on model and created an image-based agent task dataset. In experimental results, the image-based agents using this method showed an average reduction of 1.94 steps in the number of steps to complete 20 task tests, a $$44.1\%$$ reduction in time costs, and a $$47.3\%$$ reduction in token costs. This method can effectively reduce the negative actions of image-based agents when they experience hallucinations, ensuring their tasks are completed excellently, and it can effectively reduce the waste of resources such as time, tokens, and hardware. Our project can be found at GitHub.
Exploring purine analogues as inhibitors against Katanin, a microtubule severing enzyme using molecular modeling approach
Authors: Saxena Vibhuti , Patil Pruthanka , Khodke Purva , Kumbhar Bajarang Vasant 
Published: December 2024

AbstractKatanin, a key protein in cellular architecture, plays a crucial role in severing microtubules, which are vital components of the cytoskeleton. Given its central involvement in cell division and proliferation, katanin represents a promising target for therapeutic intervention, particularly in cancer treatment. Inhibiting katanin’s function could potentially hinder the uncontrolled growth of cancerous cells, making it an attractive target for novel anti-cancer therapies. Previous studies have shown that purine-based compounds exhibit a strong affinity for microtubule-severing enzymes. In this study, we aim to identify potential purine-type inhibitors of katanin using molecular modeling techniques. A total of 276,280 purine-type compounds from the PubChem database were subjected to structure-based high-throughput virtual screening, followed by ADME prediction, PASS analysis, and molecular docking studies. These efforts led to the identification of two potent compounds: PubChem CID 122589735 and 123629569, which demonstrated strong binding interactions with katanin. Molecular dynamics simulations further revealed that these compounds effectively altered katanin’s conformation when compared to ATP. Additionally, binding energy calculations indicated that PubChem CID 122589735 exhibited the strongest binding affinity for katanin, with the binding free energy ranking as follows: 122589735 > 123629569 > ATP. Our findings suggest that the screened compounds, particularly PubChem CID 122589735, hold promise as potential katanin inhibitor. These compounds could play a significant role in the development of new anti-cancer therapies targeting a variety of carcinoma. Future research, including in vitro and in vivo studies, is essential to assess the efficacy and safety of these inhibitors, paving the way for innovative cancer treatments.
LLFormer4D: LiDAR‐based lane detection method by temporal feature fusion and sparse transformer
Authors: Hu Jun , Feng Chaolu , Jie Haoxiang , Ning Zuotao , Zuo Xinyi , Liu Wei , Wei Xiangyu 
Published: December 2024

AbstractLane detection is a fundamental problem in autonomous driving, which provides vehicles with essential road information. Despite the attention from scholars and engineers, lane detection based on LiDAR meets challenges such as unsatisfactory detection accuracy and significant computation overhead. In this paper, the authors propose LLFormer4D to overcome these technical challenges by leveraging the strengths of both Convolutional Neural Network and Transformer networks. Specifically, the Temporal Feature Fusion module is introduced to enhance accuracy and robustness by integrating features from multi‐frame point clouds. In addition, a sparse Transformer decoder based on Lane Key‐point Query is designed, which introduces key‐point supervision for each lane line to streamline the post‐processing. The authors conduct experiments and evaluate the proposed method on the K‐Lane and nuScenes map datasets respectively. The results demonstrate the effectiveness of the presented method, achieving second place with an F1 score of 82.39 and a processing speed of 16.03 Frames Per Seconds on the K‐Lane dataset. Furthermore, this algorithm attains the best mAP of 70.66 for lane detection on the nuScenes map dataset.
The measure transfer for subshifts induced by a morphism of free monoids
Authors: Bédaride Nicolas , Hilion Arnaud , Lustig Martin 
Published: December 2024

Abstract
Every non-erasing monoid morphism

σ
:

A

∗

→

B

∗

induces a measure transfer map

σ
X

M

:

M

(
X
)
→

M

(
σ
(
X
)
)

between the measure cones

M

(
X
)

and

M

(
σ
(
X
)
)

, associated to any subshift

X
⊆

A

Z

and its image subshift

σ
(
X
)
⊆

B

Z

respectively. We define and study this map in detail and show that it is continuous, linear and functorial. It also turns out to be surjective (Bédaride et al 2024 Ergod. Theor. Dynam. Syst.
44 3120–54). Furthermore, an efficient technique to compute the value of the transferred measure

σ
X

M

(
μ
)

on any cylinder

[w]

(for

w
∈

B

∗

) is presented.

Theorem.
If a non-erasing morphism

σ
:

A

∗

→

B

∗

is injective on the shift-orbits of some subshift

X
⊆

A

Z

, then

σ
X

M

is injective.

The assumption on σ that it is ‘injective on the shift-orbits of X’ is strictly weaker than ‘recognizable in X’, and strictly stronger than ‘recognizable for aperiodic points in X’. The last assumption does in general not suffice to obtain the injectivity of the measure transfer map

σ
X

M

.
Low-Temperature Slurry Aluminizing: Investigating the Influence of Aluminizing Time on the Corrosion Performance of Aluminide Coating on 304 SS
Authors: Owolabi Ambali Ibrahim , Seman Anasyida Abu , Abdullah Tuti Katrina 
Published: December 2024

Abstract
The surface of austenitic stainless steel (304 SS) was modified with aluminium and alumina powders using a slurry aluminizing route to enhance its lifespan at high temperatures. The substrate was subjected to low heat treatment temperature (680°C) at various aluminizing times (4, 6, 8, and 10 hours). The corrosion resistance of the aluminide coating was evaluated by exposing them to a mixture of molten solar salt containing 60 wt.% NaNO3 and 40 wt.% KNO3 at 600°C for 100 hours. The coatings were characterized using FESEM, EDX, and XRD. Coating thickness, hardness, multi-layered phases, and corrosion products were determined before and after corrosion. The results indicated that a dense and continuous inner layer made up of FeAl-based intermetallic improved the corrosion resistance of 304SS. Coating thickness increased with increasing aluminizing time, with a maximum thickness of 75.12 µm observed for samples with 10 hours of aluminizing. The highest coating hardness of 1060 HV was observed on Fe2Al5 of aluminide layer heat treated at 10 hours. The corrosion product found on the aluminide layer was NaAlO2 and the sample heat treated for 6 hours exhibited the lowest corrosion rate of 0.21 mm/year.
Effect of Anodization Parameter on the Formation of Anodic Nb2O5 in Fluorinated Glycerol
Authors: Alias Nurhaswani , Rosli Siti Azlina , Hussain Zuhailawati , Tan Wai Kian , Kawamura Go , Matsuda Atsunori , Lockman Zainovia 
Published: December 2024

Abstract
Niobium (Nb) anodization in buffered electrolyte has certain disadvantages because the oxide that was formed had a low thickness. Therefore, Niobium pentoxide (Nb2O5) was prepared by anodization of Nb in a fluorinated glycerol added to it 15 ml H2O. To investigate the impact of these parameters on the morphology of film production, variations were made to the NH4F concentration, applied voltage, and electrolyte temperature bath. Since a compact oxide was developed in the absence of NHF4, fluoride is necessary to create the oxide structure of nanopores. The surface morphology of the Nb2O5 film was greatly influenced by the applied voltage and electrolyte temperature. The length of the oxide layer decreased and the pore size widened as the applied voltage was increased. On the other hand, the preferential dissolution of the amorphous layer and the crystallization of Nb2O5 in a high temperature (>50 °C) and high voltage (60 V) bath cause the morphology to change from a porous to a microcone shape. The weakly crystalline Nb2O5 peak was confirmed to have formed by the XRD and Raman data.