bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of policy tools for energy efficiency improvement in public buildings in China—current situation, obstacles, and solutions
Authors: Zhou Hao , Tian Xin , Zhao Yang , Chang Chenchen , Lin Borong 
Published: March 2024

AbstractThe energy consumption from the building sector accounts for more than 21% of the total in China, where the energy-use intensity of public buildings could reach 3 times that of residential buildings. Energy efficiency improvement (EEI) is considered to be one of the most rapid and cost-effective means for the building sector to achieve carbon neutrality. The Chinese government has carried out a series of policy tool exploration to promote the energy efficiency improvement efforts by public building owners since over a decade ago, but encountered various problems and obstacles. This paper investigated and compared the current status challenges, and problems in the implementation of EEI policy tools in China and developed countries through literature review, field investigations and interviews with experts and stakeholders, and finally also put forward some possible coping strategies for Chinese government. Results indicated that energy grading and labeling, energy benchmarking, carbon-emission trading and energy-consumption quota management were the main 4 EEI policy tools designed based on measured energy consumption data, where the first 3 ones had been widely used over the developed countries but the last one was unique to China. Difficulty in large-scale collection of building energy-consumption data, lack of scientific methods on building energy-use level evaluation, limited data application and feedback, undesirable association between stakeholders, etc., were the main obstacles for achieving the long-term effectiveness of the EEI policy tools. Cooperating with energy supply enterprises to collect data, establishing an effective energy grading system and a closed loop of policy implementation, exploring a new model of building carbon-emission trading and a differential pricing mechanism, combined with innovative financial supports, might be the solutions. The main contribution of this study is that a comprehensive investigation and analysis on the current development status, obstacles, and possible solutions of the public building EEI policy tools in China was carried out, which is expected to provide a reference for the government of China and even the world.
Behavioral finance impacts on US stock market volatility: an analysis of market anomalies
Authors: Akin Isik , Akin Meryem 
Published: March 2024

Abstract
This study investigates the impacts of behavioral finance on stock market volatility. The primary aims are to explain the reasons behind changes in the S&P 500 price within the context of behavioral finance and to analyze investor behavior in response to these changes. To achieve this, the research employs time-series analysis over a 10-year period, focusing on the S&P 500, real interest rates, consumer confidence, market volatility and credit default swaps while considering the effects of behavioral biases. The findings reveal several significant correlations: rising real interest rates negatively affect stocks due to loss aversion and sentiment. Conversely, higher consumer confidence tends to positively influence the stock market, driven by herding behavior and optimism. Additionally, market volatility shows a negative correlation with the S&P 500, influenced by risk aversion, recency bias and herding behavior. Moreover, an increase in credit default swap rates leads to stock market declines, primarily influenced by risk perception, loss aversion and herding behavior.
A Cacophony of Classifications: Education and Identification in a Prenational Empire
Authors: Bernot Jan , Stergar Rok 
Published: March 2024

Abstract
The article seeks to fill a gap in existing scholarship on explicit and implicit linguistic, ethnic, and national classifications in Habsburg schools and their effects. It attempts to reconstruct the classifications that appeared in textbooks and other teaching materials as well as in daily practice, pupils’ exposure to them, and their engagement with these categories. Temporally, the study begins with the establishment of compulsory education (1774) and ends in the revolutionary period of 1848–49 and focuses on the Slavophone population of the Habsburg crownlands Carniola, Carinthia, Styria, and the Austrian Littoral. Our research suggests that systematic and uniform classification schemes were not yet in place in the school environment in the period under review. As a result, the influence of classificatory systems on identifications was limited. If anything, the schools inadvertently reproduced existing local and provincial identifications while the students’ limited internalization of emerging transregional identifications only happened through their personal relationships with a few teachers and peers. The transition from familiarization with emerging transregional ethnolinguistic identifications through personal networks to the systemic (and often completely unintentional) reproduction of nationalist ideology happened only after 1848.
Same Naira, More Possibilities! Assessing the Legal Status of the eNaira and Its Potential for Privacy and Inclusion
Authors: Omotubora Adekemi 
Published: March 2024

AbstractOn 25 October 2021, Nigeria became the second country in the world, and the first in Africa, to launch a central bank digital currency. Launched with the tag line “Same Naira. More possibilities”, the Central Bank of Nigeria publicized the eNaira as having the capability to deepen financial inclusion, reduce the cost of financial transactions and support a more efficient payment system. However, more than one year after its launch, its usage is yet to gain a critical mass. This article identifies the significant challenges that make the eNaira unacceptable and potentially ineffective. First, its status as legal tender is questionable; secondly, it undermines privacy, a critical component of physical cash. Thirdly, it is incapable of wide acceptance by individuals and entities across Nigeria. The article explains each of these challenges and proposes a roadmap to the eNaira's acceptance and effectiveness.
Reconstruction of 3D DPR Observations Using GMI Radiances
Authors: Yang Yunfan , Han Wei , Sun Haofei , Xie Hejun , Gao Zhiqiu 
Published: March 2024

AbstractThree‐dimensional global precipitation observation is crucial for understanding climate and weather dynamics. While spaceborne precipitation radars provide precise but limited observations, passive microwave imagers are available much more frequently. In this study, we propose a deep learning approach to reconstruct active radar observations using passive microwave radiances. We introduce the Hybrid Deep Neural Network (HDNN) model, which utilizes reflectivity profiles from the Dual‐frequency Precipitation Radar (DPR) onboard the Global Precipitation Measurement (GPM) Core Observatory Satellite as the “target” and combines radiances from the GPM Microwave Imager (GMI) with supplementary reanalysis data to serve as the “features.” Results underscore the HDNN's exemplary performance, with a root mean square error below 4 dBZ across all altitude levels, and a consistent accuracy across different precipitation types. Its efficacy is further illustrated when applied to typhoon cases of Haishen and Khanun, emerging as a superior tool for capturing 3D structures of expansive precipitation systems.
Thin Current Sheets in the Magnetotail at Lunar Distances: Statistics of ARTEMIS Observations
Authors: Kamaletdinov S. R. , Artemyev A. V. , Runov A. , Angelopoulos V. 
Published: March 2024

AbstractThe magnetotail current sheet's (CSs) spatial configuration and stability control the onset of magnetic reconnection ‐ the driving process for magnetospheric substorms. The near‐Earth CS has been thoroughly investigated by numerous missions, whereas the midtail CS has not been adequately explored. This is especially the case for the long‐term variation of its configuration in response to the solar wind. We present a statistical analysis of 1261 magnetotail CS crossings by the Acceleration, Reconnection, Turbulence and Electrodynamics of Moon's Interaction with the Sun (ARTEMIS) mission orbiting the moon (X ∼ −60 RE), collected during the entirety of Solar Cycle 24. We demonstrate that the magnetotail CS typically remains extremely thin, with a characteristic thickness comparable to the thermal ion gyroradius, even at large distances from Earth's dipole. We also find that a substantial fraction (∼one quarter) of the observed CSs have a partially force‐free magnetic field configuration, with a significant contribution of the magnetic field shear component to the pressure balance. Further, we quantify the impact of the changing solar wind driving conditions on the properties of the midtail around the lunar orbit. During active solar wind driving conditions, we observe an increase in the occurrence rate of thin CSs, whereas quiet solar wind driving conditions seem to favor the formation of partially force‐free CSs.
Long‐ and Short‐Term Effects of Seismic Waves and Coseismic Pressure Changes on Fractured Aquifers
Authors: Zhang Yan , Manga Michael , Fu Li‐Yun , Zhang Huai , Huang Tianming , Yang Qiuye , Cui Zhen‐Dong , Qi Shengwen , Huang Yuan 
Published: March 2024

AbstractTwo adjacent groundwater wells on the North China Platform are used to study how earthquakes impacted aquifers. We use the response of water level to solid Earth tides to document changes after earthquakes and how aquifer and fracture properties recovered to pre‐earthquake properties. We consider two models for the phase and amplitude of water level response to the lunar diurnal (O1) and semidiurnal (M2) tides: a leaky aquifer model, and a model in which fracture orientation determines the response. In the leaky aquifer model, changes arise from changes in permeability and storage; in the fracture model, changes are due to changes in apparent orientation of transmissive fractures. Responses in one well are best explained by the leaky aquifer model, and can explain the large amplitude coseismic water level and permeability changes and the non‐recoverable changes after the largest earthquake. Responses in the other well are consistent with the fracture model and show little coseismic change in water level but changes in apparent fracture orientation. Larger ground motions lead to larger coseismic water level changes and longer recovery times. We propose that the well in the more permeable and shallow aquifer has less variable pore‐pressures around the well. Larger coseismic strains from water level changes may enable longer‐lasting changes in aquifer properties. We conclude that relatively high permeability aquifers are less susceptible to impacts from seismic waves, and thus have small changes in water levels and hydrogeological properties.
Laboratory Investigation of Energy Dissipation and Turbulent Mixing During Internal Solitary Wave Breaking on the Rough Shelf Slope
Authors: Yuan Yeping , Luo Yuanye , Wang Yixin , Lin Ying‐Tien , Liu Qian , Song Jinbao 
Published: March 2024

AbstractWhen internal solitary waves (ISW) propagate to the continental shelf, they typically runup and break on the forereef. This process might lead to periodic temperature drops at the reef slope, which has potential to protect coral reefs from bleaching threats. A series of laboratory experiments were conducted to investigate turbulence characteristics and energy dissipation during the ISW breaking events on the shelf slope with different bottom roughness to mimic the forereef environment. Particle image velocimetry (PIV) and planar laser‐induced fluorescence (PLIF) were coupled to obtain simultaneous high‐resolution velocity and density fields, based on which we then calculate the energy budget and turbulent dissipation rate. We found that the ISW breaking can be divided into two turbulent processes, the production of shear instability and coherent structures. Ratio of energy loss is weakened with the increase of bottom roughness and the collapse height, while the rough structure substantially enhanced the turbulent dissipation rate. The mixing efficiency is between 0.1 and 0.3, close to its maximal rate at 0.25. Our results reveal that the bottom roughness has impact on the mixing efficiency and turbulent process during the ISW breaking events. We found that rough structures at the shelf slope inhibit the mixing efficiency, especially in cases with small amplitude incline ISW. This finding may help us to better understand the reef damage and coral reef decline and support the management of coral protection strategy.
Clinical decision support for bipolar depression using large language models
Authors: Perlis Roy H. , Goldberg Joseph F. , Ostacher Michael J. , Schneck Christopher D. 
Published: March 2024

AbstractManagement of depressive episodes in bipolar disorder remains challenging for clinicians despite the availability of treatment guidelines. In other contexts, large language models have yielded promising results for supporting clinical decisionmaking. We developed 50 sets of clinical vignettes reflecting bipolar depression and presented them to experts in bipolar disorder, who were asked to identify 5 optimal next-step pharmacotherapies and 5 poor or contraindicated choices. The same vignettes were then presented to a large language model (GPT4-turbo; gpt-4-1106-preview), with or without augmentation by prompting with recent bipolar treatment guidelines, and asked to identify the optimal next-step pharmacotherapy. Overlap between model output and gold standard was estimated. The augmented model prioritized the expert-designated optimal choice for 508/1000 vignettes (50.8%, 95% CI 47.7–53.9%; Cohen’s kappa = 0.31, 95% CI 0.28–0.35). For 120 vignettes (12.0%), at least one model choice was among the poor or contraindicated treatments. Results were not meaningfully different when gender or race of the vignette was permuted to examine risk for bias. By comparison, an un-augmented model identified the optimal treatment for 234 (23.0%, 95% CI 20.8–26.0%; McNemar’s p < 0.001 versus augmented model) of the vignettes. A sample of community clinicians scoring the same vignettes identified the optimal choice for 23.1% (95% CI 15.7–30.5%) of vignettes, on average; McNemar’s p < 0.001 versus augmented model. Large language models prompted with evidence-based guidelines represent a promising, scalable strategy for clinical decision support. In addition to prospective studies of efficacy, strategies to avoid clinician overreliance on such models, and address the possibility of bias, will be needed.
Anti-integrin αvβ6 autoantibodies are a potential biomarker for ulcerative colitis-like immune checkpoint inhibitor-induced colitis
Authors: Yokode Masataka , Shiokawa Masahiro , Kawakami Hisato , Kuwada Takeshi , Nishikawa Yoshihiro , Muramoto Yuya , Kitamoto Hiroki , Okabe Makoto , Yamazaki Hajime , Okamoto Norihiro , Morita Toshihiro , Ohno Kazuya , Nakanishi Risa , Takimoto Ikuhisa , Yasuda Muneji , Chikugo Koki , Matsumoto Shimpei , Yoshida Hiroyuki , Ota Sakiko , Nakamura Takeharu , Okada Hirokazu , Hirano Tomonori , Kakiuchi Nobuyuki , Matsumori Tomoaki , Yamamoto Shuji , Uza Norimitsu , Ooi Makoto , Kodama Yuzo , Chiba Tsutomu , Hayashi Hidetoshi , Seno Hiroshi 
Published: March 2024

Abstract
Background
No specific biomarker for immune checkpoint inhibitor (ICI)-induced colitis has been established. Previously, we identified anti-integrin αvβ6 autoantibodies in >90% of patients with ulcerative colitis (UC). Given that a subset of ICI-induced colitis is similar to UC, we aimed to clarify the relationship between such autoantibodies and ICI-induced colitis.

Methods
Serum anti-integrin αvβ6 autoantibody levels were compared between 26 patients with ICI-induced colitis and 157 controls. Endoscopic images of ICI-induced colitis were centrally reviewed. Characteristics of anti-integrin αvβ6 autoantibodies in the ICI-induced colitis patients were compared with those of UC patients.

Results
Anti-integrin αvβ6 autoantibodies were found in 8/26 (30.8%) patients with ICI-induced colitis and 3/157 (1.9%) controls (P < 0.001). Patients with anti-integrin αvβ6 autoantibodies had significantly more typical UC endoscopic features than those without the autoantibodies (P < 0.001). Anti-integrin αvβ6 autoantibodies in ICI-induced colitis patients were associated with grade ≥3 colitis (P = 0.001) and steroid resistance (P = 0.005). Anti-integrin αvβ6 autoantibody titers correlated with ICI-induced colitis disease activity. Anti-integrin αvβ6 autoantibodies of ICI-induced colitis exhibited similar characteristics to those of UC.

Conclusions
Anti-integrin αvβ6 autoantibodies may serve as potential biomarkers for the diagnosis, classification, risk management, and monitoring the disease activity, of ICI-induced colitis.
Antibiotics treatment promotes vasculogenesis in the brain of glioma-bearing mice
Authors: Rosito Maria , Maqbool Javeria , Reccagni Alice , Giampaoli Ottavia , Sciubba Fabio , Antonangeli Fabrizio , Scavizzi Ferdinando , Raspa Marcello , Cordella Federica , Tondo Lucrezia , Di Angelantonio Silvia , Trettel Flavia , Miccheli Alfredo , D’Alessandro Giuseppina , Limatola Cristina 
Published: March 2024

AbstractIn recent years, several studies described the close relationship between the composition of gut microbiota and brain functions, highlighting the importance of gut-derived metabolites in mediating neuronal and glial cells cross-talk in physiological and pathological condition. Gut dysbiosis may affects cerebral tumors growth and progression, but the specific metabolites involved in this modulation have not been identified yet. Using a syngeneic mouse model of glioma, we have investigated the role of dysbiosis induced by the administration of non-absorbable antibiotics on mouse metabolome and on tumor microenvironment. We report that antibiotics treatment induced: (1) alteration of the gut and brain metabolome profiles; (2) modeling of tumor microenvironment toward a pro-angiogenic phenotype in which microglia and glioma cells are actively involved; (3) increased glioma stemness; (4) trans-differentiation of glioma cells into endothelial precursor cells, thus increasing vasculogenesis. We propose glycine as a metabolite that, in ABX-induced dysbiosis, shapes brain microenvironment and contributes to glioma growth and progression.
Neoadjuvant–adjuvant pertuzumab in HER2-positive early breast cancer: final analysis of the randomized phase III PEONY trial
Authors: Huang Liang , Pang Da , Yang Hongjian , Li Wei , Wang Shusen , Cui Shude , Liao Ning , Wang Yongsheng , Wang Chuan , Chang Yuan-Ching , Wang Hwei-Chung , Kang Seok Yun , Seo Jae Hong , Shen Kunwei , Laohawiriyakamol Suphawat , Jiang Zefei , Wang Haiyan , Lamour François , Song Grace , Curran Michelle , Duan Chunzhe , Lysbet de Haas Sanne , Restuccia Eleonora , Shao Zhimin 
Published: March 2024

AbstractThe randomized, multicenter, double-blind, placebo-controlled, phase III PEONY trial (NCT02586025) demonstrated significantly improved total pathologic complete response (primary endpoint) with dual HER2 blockade in HER2-positive early/locally advanced breast cancer, as previously reported. Here, we present the final, long-term efficacy (secondary endpoints: event-free survival, disease-free survival, overall survival) and safety analysis (62.9 months’ median follow-up). Patients (female; n = 329; randomized 2:1) received neoadjuvant pertuzumab/placebo with trastuzumab and docetaxel, followed by adjuvant 5-fluorouracil, epirubicin, and cyclophosphamide, then pertuzumab/placebo with trastuzumab until disease recurrence or unacceptable toxicity, for up to 1 year. Five-year event-free survival estimates are 84.8% with pertuzumab and 73.7% with placebo (hazard ratio 0.53; 95% confidence interval 0.32–0.89); 5-year disease-free survival rates are 86.0% and 75.0%, respectively (hazard ratio 0.52; 95% confidence interval 0.30–0.88). Safety data are consistent with the known pertuzumab safety profile and generally comparable between arms, except for diarrhea. Limitations include the lack of ado-trastuzumab emtansine as an option for patients with residual disease and the descriptive nature of the secondary, long-term efficacy endpoints. PEONY confirms the positive benefit:risk ratio of neoadjuvant/adjuvant pertuzumab, trastuzumab, and docetaxel treatment in this patient population.
Inhalation of ACE2-expressing lung exosomes provides prophylactic protection against SARS-CoV-2
Authors: Wang Zhenzhen , Hu Shiqi , Popowski Kristen D. , Liu Shuo , Zhu Dashuai , Mei Xuan , Li Junlang , Hu Yilan , Dinh Phuong-Uyen C. , Wang Xiaojie , Cheng Ke 
Published: March 2024

AbstractContinued emergence of SARS-CoV-2 variants of concern that are capable of escaping vaccine-induced immunity highlights the urgency of developing new COVID-19 therapeutics. An essential mechanism for SARS-CoV-2 infection begins with the viral spike protein binding to the human ACE2. Consequently, inhibiting this interaction becomes a highly promising therapeutic strategy against COVID-19. Herein, we demonstrate that ACE2-expressing human lung spheroid cells (LSC)-derived exosomes (LSC-Exo) could function as a prophylactic agent to bind and neutralize SARS-CoV-2, protecting the host against SARS-CoV-2 infection. Inhalation of LSC-Exo facilitates its deposition and biodistribution throughout the whole lung in a female mouse model. We show that LSC-Exo blocks the interaction of SARS-CoV-2 with host cells in vitro and in vivo by neutralizing the virus. LSC-Exo treatment protects hamsters from SARS-CoV-2-induced disease and reduced viral loads. Furthermore, LSC-Exo intercepts the entry of multiple SARS-CoV-2 variant pseudoviruses in female mice and shows comparable or equal potency against the wild-type strain, demonstrating that LSC-Exo may act as a broad-spectrum protectant against existing and emerging virus variants.
Marine heatwaves disrupt ecosystem structure and function via altered food webs and energy flux
Authors: Gomes Dylan G. E. , Ruzicka James J. , Crozier Lisa G. , Huff David D. , Brodeur Richard D. , Stewart Joshua D. 
Published: March 2024

AbstractThe prevalence and intensity of marine heatwaves is increasing globally, disrupting local environmental conditions. The individual and population-level impacts of prolonged heatwaves on marine species have recently been demonstrated, yet whole-ecosystem consequences remain unexplored. We leveraged time series abundance data of 361 taxa, grouped into 86 functional groups, from six long-term surveys, diet information from a new diet database, and previous modeling efforts, to build two food web networks using an extension of the popular Ecopath ecosystem modeling framework, Ecotran. We compare ecosystem models parameterized before and after the onset of recent marine heatwaves to evaluate the cascading effects on ecosystem structure and function in the Northeast Pacific Ocean. While the ecosystem-level contribution (prey) and demand (predators) of most functional groups changed following the heatwaves, gelatinous taxa experienced the largest transformations, underscored by the arrival of northward-expanding pyrosomes. We show altered trophic relationships and energy flux have potentially profound consequences for ecosystem structure and function, and raise concerns for populations of threatened and harvested species.