bluuebunny/crossref_metadata_2025_split huggingface dataset:
BRD4-specific PROTAC inhibits basal-like breast cancer partially through downregulating KLF5 expression
Authors: Chen Ceshi , Kong Yanjie , Lan Tianlong , Wang Luzhen , Huang Haihui , Lv Wenxing , Zhou Chengang , Sun Xiuyun , Weng Xin , Cai Chang , Peng Wenfeng , Zhang Meng , Jiang Dewei , Yang Chuanyu , Liu Xia , Rao Yu 
Published: January 2024

Abstract

Interest in the use of proteolysis-targeting chimeras (PROTACs) in cancer therapy has increased in recent years. Targeting bromodomain and extra terminal domain (BET) proteins, especially bromodomain-containing protein 4 (BRD4), has shown inhibitory effects on basal-like breast cancer (BLBC). However, the bioavailability of BRD4 PROTACs is restricted by their non-selective biodegradabilityand low tumor-targeting ability. We demonstrated that 6b (BRD4 PROTAC) suppresses BLBC cell growth by targeting BRD4, but not BRD2 and BRD3, for cereblon (CRBN)-mediated ubiquitination and proteasomal degradation. Compound 6b also inhibited expression of Krüppel-like factor 5 (KLF5) transcription factor, a key oncoprotein in BLBC, controlled by BRD4-mediated super-enhancers. Moreover, 6b inhibited HCC1806 tumor growth in a xenograft mouse model. The combination of 6b and KLF5 inhibitors showed additive effects on BLBC. These results suggest that BRD4-specific PROTAC can effectively inhibit BLBC by downregulating KLF5, and that 6b has potential as a novel therapeutic drug for BLBC.
Studies on Intersubgeneric Hybridization ability between Evergreen Rhododendron varieties and native Rhododendron decorum Franch.
Authors: Hao Ziyao , Guan Wenling , Yang Yingying , Song Jie , Meng Jing , Li Yefang 
Published: January 2024

Abstract

The horticultural varieties of the evergreen Rhododendron 'Sima,' 'Yin Taohong' and 'Little Taohong' were used as the maternal lines, and the wild Rhododendron decorum Franch. was used as the paternal line for intergeneric crosses. Moreover, the horticultural varieties within the evergreen Rhododendron were also used as controls to study the effect of different pollination methods on hybrid compatibility. After the pollination, the rates of ovary swelling and fruit bearing, numbers of capsule seed, 1,000 seed weight of hybrid seeds, and the rates of germination and green seedlings were examined to comprehensively evaluate the degree of hybrid ability. Simultaneously, the pollen tube growth, fertilization, and hybrid embryo growth and development through the pollen tube were observed by fluorescence microscopy and paraffin sectioning to study the compatibility and histological mechanism of intersubgeneric hybridization between horticultural varieties of the evergreen Rhododendron and Rhododendron decorum Franch. This study provided a scientific basis for intergeneric hybridization breeding between the evergreen Rhododendron and the Rhododendron decorum Franch..
Multi-photon 3-Stage QKD for Practical Quantum Networks
Authors: Jha Nitin , Parakh Abhishek , Subramaniam Mahadevan 
Published: January 2024

Abstract

Quantum key distribution (QKD) will most likely be an integral part of any practical quantum network setup in the future. However, not all QKD protocols can be used in today's networks because of the lack of single photon emitters and noisy intermediate quantum hardware. Attenuated photon transmission typically used to simulate single photon emitters severely limits the achievable transmission distances and the integration of QKD into existing classical networks that use tens of thousands of photons per bit of transmission. Furthermore, it has been found that different protocols perform differently in different network topologies. In order to remove the reliance of QKD on single photon emitters and increase transmission distances, it is worthwhile exploring QKD protocols that do not rely on single-photon transmissions for security, such as the 3-stage QKD protocol; the 3-stage protocol can tolerate multiple photons in each burst without leakage of information. This paper compares and contrasts the 3-stage QKD protocol and its efficiency in different network topologies and conditions. Further, we establish a mathematical relationship between achievable key rates for increasing transmission distances in various topologies. Our results provide insight to a network engineer in designing QKD networks of the future.
Excavation-induced damage zoning of the underground powerhouse with high geostress based on multiple monitoring methods.
Authors: Dong Linlu , Xu Nuwen , Xiao Peiwei , Li Biao , Li Peng , Li Yonghong , Zhao Tieshuan 
Published: January 2024

Abstract

The primary factor restricting the construction of deeply buried underground projects is the imprecise identification of the surrounding rock damage zone. This study examines the Shuangjiangkou underground powerhouse to investigate damage zoning in the surrounding rock mass. The temporal and spatial characteristics of deep rock mass deformation evolution are studied by multipoint extensometers, microseismic (MS) monitoring, acoustic wave testing and borehole TV. Subsequently, a quantitative analysis delineating damage zones is executed by evaluating alterations in displacement, wave velocity volatility, and the distribution of MS events within the surrounding rock mass. The excavation zone of the surrounding rock mass is segmented into distinct sectors: highly-damaged zones (HDZs), excavation-damaged zones (EDZs) and excavation-disturbed zones (EdZs). Additionally, the energy ratio of S-waves to P-waves (Es/Ep) and the moment tensor inversion (MTI) are introduced to reveal the failure mechanism of the surrounding rock mass in each damage zone. The results show that the rock mass fracture around the Shuangjiangkou underground powerhouse presents remarkable zonation characteristics. The spatial depth ranges for the HDZs, EDZs, and EdZs, determined quantitatively based on multivariate monitoring data, are 0–5 m, 5–10 m, and 10–20 m, respectively. The failure mechanisms of surrounding rock mass differ across various damage zones: the HDZ primarily exhibits tensile failure, while the EDZ is mainly characterized by shear failure. The research provides a valuable reference for evaluating the stability of surrounding rock during the excavation of underground caverns of Shuangjiangkou hydropower station.
A novel lattice model considering traffic flow gradient estimation information on curved road in CPS environment
Authors: Kang Yi-Rong , Tian Chuan 
Published: January 2024

Abstract

In order to explore the mechanism that a driver’s anticipation effect in cyber-physical systems (CPS) environment has on the traffic flow on a curved road, a parameter for flow gradient is introduced to characterize the driver's anticipation of the variation trend of traffic flow on curved road ahead. On this basis, combined with the mechanical characteristics of curved road, an improved lattice model for curved road is proposed. The effect of anticipation information of flow gradient on the stability of traffic flow on curved road is analyzed by linear stability theory, and corresponding stability criterion is obtained. Through the perturbation reduction method, the spatiotemporal evolution mechanisms of traffic congestion in the stable flow region, unstable region, and metastable region of the curved road traffic flow were explored, and corresponding descriptive equations and density wave solutions were obtained. Numerical simulations were conducted to validate the theoretical analysis of the model, and the results indicated that the stability of the macroscopic traffic flow in the curve increased with the increase of road radian under the condition of the same initial density. Furthermore, the effect of the traffic gradient estimation information enhanced the control stability and alleviated traffic congestion in curved road traffic flow.
AI-Driven Aging Pattern Analysis for Improving 0.2% Proof Stress in Binary Ni-Al Alloys with γ – γ' Two-Phase Structure
Authors: Nandal Vickey , Dieb Sae , Bulgarevich Dmitry S. , Osada Toshio , Koyama Toshiyuki , Minamoto Satoshi , Demura Masahiko 
Published: January 2024

Abstract

This study presents the comprehensive analysis of flexible non-isothermal aging (NIA) patterns discovered through artificial intelligence (AI) to improve the mechanical strength (0.2% proof stress) in γ – γ' two-phase, binary Ni-Al alloys. In our recent investigation, we found that the AI algorithm could propose aging patterns with superior strength compared to conventional isothermal aging. In this current study, we continued our extensive exploration of AI methodologies, uncovering diverse patterns that also surpassed the isothermal aging benchmark. Remarkably, out of 2823 NIA schedules, we found 173 ones outperforming the isothermal aging benchmark. Furthermore, we conducted a detailed analysis of newly AI-discovered patterns. We identified two critical factors for strength improvement: exposure at 700 ℃ and the number of consecutive 700 ℃ exposures (optimally set at two), alongside non-consecutive steps (up to five). The insights gained from these findings may demonstrate the potential of AI-driven approaches to yield ideas on how to achieve improved strength in Ni-Al alloys.
Incremental dynamic analysis method application in the seismic vulnerability of infilled wall frame structures
Authors: Ma Weini 
Published: January 2024

To reasonably evaluate the overall seismic performance of infilled wall frames, a corresponding nonlinear analysis model is constructed with infilled wall frames as the research object. It quantifies the failure levels of structural and non-structural components and proposes a method for extracting structural overall performance indicators. The vulnerability of the case frame structure is analyzed using the Incremental Dynamic Analysis (IDA) method. The results showed that the seismic performance of the infilled wall frame and the ordinary frame met the seismic fortification requirements, and the seismic capacity of the infilled wall frame was better. After implementing a 7-degree seismic fortification, the cumulative probability of basic integrity, minor damage, and moderate damage for infill wall frames reached 99.15 %, surpassing the fortification target of 1.5 g. However, the seismic capacity of ordinary frames was overestimated, as their cumulative probability of basic intact, minor damage, and moderate damage under a 7-degree seismic fortification was 99.7 %. Neglecting its impact, ordinary frames exhibited lower seismic performance compared to other structures, with a basic intact probability of only 48.49 % under frequent earthquake actions at 7 degrees. The research utilizes effective methods for evaluating the seismic vulnerability of infilled wall frames.
A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China
Authors: Fang Jinjie , Yang Linshan , Wen Xiaohu , Li Weide , Yu Haijiao , Zhou Ting 
Published: January 2024

Abstract

Accurate streamflow prediction is crucial for effective water resource management. However, reliable prediction remains a considerable challenge because of the highly complex, non-stationary, and non-linear processes that contribute to streamflow at various spatial and temporal scales. In this study, we utilized a convolutional neural network (CNN)–Transformer–long short-term memory (LSTM) (CTL) model for streamflow prediction, which replaced the embedding layer with a CNN layer to extract partial hidden features, and added an LSTM layer to extract correlations on a temporal scale. The CTL model incorporated Transformer's ability to extract global information, CNN's ability to extract hidden features, and LSTM's ability to capture temporal correlations. To validate its effectiveness, we applied it for streamflow prediction in the Shule River basin in northwest China across 1-, 3-, and 6-month horizons and compared its performance with Transformer, CNN, LSTM, CNN–Transformer, and Transformer–LSTM. The results demonstrated that CTL outperformed all other models in terms of predictive accuracy with Nash–Sutcliffe coefficient (NSE) values of 0.964, 0.912, and 0.856 for 1-, 3-, 6-month ahead prediction. The best results among the five comparative models were 0.908, 0.824, and 0.778, respectively. This indicated that CTL is an outstanding alternative technique for streamflow prediction where surface data are limited.
Impact of abattoirs and local textile (Adire and Kampala) effluents on Yemoja River in Abeokuta, Nigeria
Authors: Ogundairo Emmanuel Sanu , Folarin Gbolahan Muyiwa , Awomeso Julius Awonusi , Taiwo Adewale Matthew 
Published: January 2024

Abstract
Discharge of untreated wastewater into water bodies pollutes the receiving waters. This study assessed the impact of abattoir and Kampala designers' effluent discharge on the water quality of the Yemoja River in Abeokuta, Nigeria. Twenty-seven water samples collected at three points, covering 180 m length, for 6 months were assessed for physicochemical parameters and metals and compared with the World Health Organization (WHO) and Standard Organization of Nigeria (SON) permissible standards. Most discharge point levels were found to be higher than their corresponding upstream and downstream values. Temperature, turbidity, magnesium, alkalinity, DO, TSS, phosphate, lead, BOD and potassium were found to be higher than normal levels for river water as prescribed by the WHO and SON while parameters like TDS, TS, calcium, chloride, nitrate, sulphate, iron and COD were lower than the standards. The total coliform values were higher than both national and international permissible limits, indicating contamination by human sewage or animal droppings. The water quality index indicated polluted water that is unfit for consumption. Findings from this research indicate that butchering and tie-and-dye activities have impacted river Yemoja water quality. Therefore, wastewater from the abattoir and textile industries be treated before discharge into water bodies.
Pemanfaatan Data Hujan Satelit dalam Pembuatan Peta Spasial Hujan Rancangan di DAS Welang Kabupaten Pasuruan
Authors: Azizah Salma , Harisuseno Donny , Wahyuni Sri 
Published: January 2024

Abstrak: Salah satu prioritas penanganan di DAS Welang yaitu permasalahan banjir yang masih terjadi terutama pada bagian hilir setiap tahunnya, hal ini tidak terlepas dengan siklus hidrologi yang mengalami perubahan. Untuk mengatasi permasalahan minimnya ketersediaan data hujan, maka alternatif yang dapat digunakan adalah menggunakan curah hujan satelit. Dengan menggunakan teknologi penginderaan jauh, curah hujan satelit memungkinkan mendapatkan akses cepat, gratis, cakupan yang luas, dan dalam data near real time. Studi ini menggunakan data satelit jenis CHIRPS dengan resolusi 0,05 x 0,05 arc degrees sebagai data pendukung untuk membuat peta spasial. Data hujan pengamatan disesuaikan dengan data satelit yang telah dikalibrasi. Peta interpolasi spasial dibuat menggunakan distribusi Gumbel dan Log Pearson III dengan kala ulang 2, 5, 10, 25, 50, dan 100 tahun. Hasil peta hujan rancangan divalidasi dengan membandingkannya dengan hasil analisis distribusi dan peta stasiun hujan pengamatan. Validasi dengan NSE dan RSR menunjukkan hasil yang sangat baik dan perbandingan dengan peta stasiun hujan pengamatan menunjukkan hasil yang sangat baik terhadap analisis distribusi. Selanjutnya, peta tersebut dibandingkan dengan peta hujan rancangan yang diterbitkan oleh Kementerian Pekerjaan Umum Perumahan Rakyat hasilnya menunjukkan kesesuaian sebesar 10%.
The Impact of Wireless Emergency Alerts on a Floating Population in Seoul, South Korea: Panel Data Analysis
Authors: Yoon Sungwook , Lim Hyungsoo , Park Sungho 
Published: January 2024

Background
Wireless emergency alerts (WEAs), which deliver disaster information directly to individuals’ mobile phones, have been widely used to provide information related to COVID-19 and to encourage compliance with social distancing guidelines during the COVID-19 pandemic. The floating population refers to the number of people temporarily staying in a specific area, and this demographic data can be a useful indicator to understand the level of social distancing people are complying with during the COVID-19 pandemic.

Objective
This study aimed to empirically analyze the impact of WEAs on the floating population where WEAs were transmitted in the early stages of the COVID-19 pandemic. As most WEA messages focus on compliance with the government’s social distancing guidelines, one of the goals of transmitting WEAs during the COVID-19 pandemic is to control the floating population at an appropriate level.

Methods
We investigated the empirical impact of WEAs on the floating population across 25 districts in Seoul by estimating a panel regression model at the district-hour level with a series of fixed effects. The main independent variables were the number of instant WEAs, the daily cumulative number of WEAs, the total cumulative number of WEAs, and information extracted from WEAs by natural language processing at the district-hour level. The data set provided a highly informative empirical setting as WEAs were sent by different local governments with various identifiable district-hour–level data.

Results
The estimates of the impact of WEAs on the floating population were significantly negative (–0.013, P=.02 to –0.014, P=.01) across all specifications, implying that an additional WEA issuance reduced the floating population by 1.3% (=100(1–e–0.013)) to 1.4% (=100(1–e–0.014)). Although the coefficients of DCN (the daily cumulative number of WEAs) were also negative (–0.0034, P=.34 to –0.0052, P=.15) across all models, they were not significant. The impact of WEAs on the floating population doubled (–0.025, P=.02 to –0.033, P=.005) when the first 82 days of observations were used as subsamples to reduce the possibility of people blocking WEAs.

Conclusions
Our results suggest that issuing WEAs and distributing information related to COVID-19 to a specific district was associated with a decrease in the floating population of that district. Furthermore, among the various types of information in the WEAs, location information was the only significant type of information that was related to a decrease in the floating population. This study makes important contributions. First, this study measured the impact of WEAs in a highly informative empirical setting. Second, this study adds to the existing literature on the mechanisms by which WEAs can affect public response. Lastly, this study has important implications for making optimal WEAs and suggests that location information should be included.
Investigating the Roles and Responsibilities of Institutional Signing Officials After Data Sharing Policy Reform for Federally Funded Research in the United States: National Survey
Authors: Baek Jinyoung , Lawson Jonathan , Rahimzadeh Vasiliki 
Published: January 2024

Background
New federal policies along with rapid growth in data generation, storage, and analysis tools are together driving scientific data sharing in the United States. At the same, triangulating human research data from diverse sources can also create situations where data are used for future research in ways that individuals and communities may consider objectionable. Institutional gatekeepers, namely, signing officials (SOs), are therefore at the helm of compliant management and sharing of human data for research. Of those with data governance responsibilities, SOs most often serve as signatories for investigators who deposit, access, and share research data between institutions. Although SOs play important leadership roles in compliant data sharing, we know surprisingly little about their scope of work, roles, and oversight responsibilities.

Objective
The purpose of this study was to describe existing institutional policies and practices of US SOs who manage human genomic data access, as well as how these may change in the wake of new Data Management and Sharing requirements for National Institutes of Health–funded research in the United States.

Methods
We administered an anonymous survey to institutional SOs recruited from biomedical research institutions across the United States. Survey items probed where data generated from extramurally funded research are deposited, how researchers outside the institution access these data, and what happens to these data after extramural funding ends.

Results
In total, 56 institutional SOs participated in the survey. We found that SOs frequently approve duplicate data deposits and impose stricter access controls when data use limitations are unclear or unspecified. In addition, 21% (n=12) of SOs knew where data from federally funded projects are deposited after project funding sunsets. As a consequence, most investigators deposit their scientific data into “a National Institutes of Health–funded repository” to meet the Data Management and Sharing requirements but also within the “institution’s own repository” or a third-party repository.

Conclusions
Our findings inform 5 policy recommendations and best practices for US SOs to improve coordination and develop comprehensive and consistent data governance policies that balance the need for scientific progress with effective human data protections.
Implementing a Sodium-Glucose Cotransporter 2 Inhibitor Module With a Software Tool (Future Health Today): Qualitative Study
Authors: Suen Matthew , Manski-Nankervis Jo-Anne , McBride Caroline , Lumsden Natalie , Hunter Barbara 
Published: January 2024

Background
Primary care plays a key role in the management of type 2 diabetes. Sodium-glucose cotransporter 2 (SGLT2) inhibitors have been demonstrated to reduce hospitalization and cardiac and renal complications. Tools that optimize management, including appropriate prescribing, are a priority for treating chronic diseases. Future Health Today (FHT) is software that facilitates clinical decision support and quality improvement. FHT applies algorithms to data stored in electronic medical records in general practice to identify patients who are at risk of a chronic disease or who have a chronic disease that may benefit from intensification of management. The platform continues to evolve because of rigorous evaluation, continuous improvement, and expansion of the conditions hosted on the platform. FHT currently displays recommendations for the identification and management of chronic kidney disease, cardiovascular disease, type 2 diabetes, and cancer risk. A new module will be introduced to FHT focusing on SGLT2 inhibitors in patients with type 2 diabetes who have chronic kidney diseases, cardiovascular diseases, or risk factors for cardiovascular disease.

Objective
The study aims to explore the barriers and enablers to the implementation of an SGLT2 inhibitor module within the Future Health Today software.

Methods
Clinic staff were recruited to participate in interviews on their experience in their use of a tool to improve prescribing behavior for SGLT2 inhibitors. Thematic analysis was guided by Clinical Performance Feedback Intervention Theory.

Results
In total, 16 interviews were completed. Identified enablers of use included workflow alignment, clinical appropriateness, and active delivery of the module. Key barriers to use were competing priorities, staff engagement, and knowledge of the clinical topic.

Conclusions
There is a recognized benefit to the use of a clinical decision support tool to support type 2 diabetes management, but barriers were identified that impeded the usability and actionability of the module. Successful and effective implementation of this tool could support the optimization of patient management of type 2 diabetes in primary care.