bluuebunny/crossref_metadata_2025_split huggingface dataset:
Androgen receptor and MYC transcriptomes are equilibrated in multilayer regulatory circuitries in prostate cancer
Authors: Fu Bin , Wang Liyang , Jia Tianwei , Wei Zhao , Nama Nuosu , Liang Jiaqian , Liao Xinghua , Liu XiaMing , Gao Yanfei , Liu Xiaoqiang , Mao Raymond S. , Wang Keshan , Guo Ju , Chen Shaoyong S. 
Published: August 2023

AbstractBackgroundThe discovery of androgen receptor (AR) having transrepression effects completes the circle of its functionalities as a typical transcription factor, which intrinsically bears dual functions of activation and repression linked to co‐factor competition and redistribution. Indeed, AR dual functions are exemplified by locus‐wide regulation of the oncogenic 8q24‐MYC region.MethodsRT‐qPCR assay and public RNA‐profiling datasets were used to assess MYC transcription in androgen‐sensitive cell lines. Public ChIP‐seq and RNA‐Seq datasets were computed to evaluate AR‐MYC direct and indirect signatures. Gene sets in typical MYC and AR pathways were monitored to validate their cross‐talks. Bio‐informatics and chromosome conformation capture (3C) assay were performed in the AR gene locus to examine androgen‐elicited distal regulation. Finally, co‐factor re‐distribution were globally tracked between AR and MYC binding sites.ResultsIn this report, we found MYC responded negatively to androgen with hypersensitivity, rivaling AR natural functions as an innate androgen effector. Furthermore, both direct and indirect AR and MYC transcriptional programs were actively in equilibration. With established androgen‐mediated versus MYC‐mediated gene subsets, we validated AR and MYC pathways were both bidirectional and extensively entangled. In addition, we determined that the AR gene locus resembled the MYC gene region and both loci were androgen‐repressed via epigenetics and chromatin architectural alterations. Significantly, transcriptional factor profiling along the prostate cancer (PCa) genome exposed that PCa transcriptomes were dynamically equilibrated between AR‐binding site and MYC‐binding site.ConclusionTogether, our findings stratified AR‐MYC interactions that are extensively wired and intricately organized to compensate for essential PCa transcriptional programs and neutralize excessive signaling.
Evaluation of cleaning and disinfection protocols for commercial farm equipment following a foreign animal disease outbreak
Authors: Boe Timothy , Calfee Worth , Lemieux Paul , Serre Shannon , Abdel‐Hady Ahmed , Monge Mariela , Aslett Denise , Akers Bruce , Howard John 
Published: August 2023

AbstractThis study evaluated the microbiocidal efficacy of a cleaning and disinfection (C&D) treatment using stainless‐steel coupons applied to three common types of animal mortality transport vehicles when exposed to agricultural conditions. Metal test coupons, inoculated with bacteriophage MS2, were affixed to the undercarriage of three types of animal mortality transport vehicles at various locations. Coupons were grimed by maneuvering the test vehicles down a series of wet dirt roads. Coupons were attached and extracted at various points to evaluate C&D performance with and without grime. C&D efficacy using a water‐supplied pressure washing system and a dilute sodium hypochlorite (NaOCl) solution was determined by comparing the difference in recovered viable virus between positive control coupons and test coupons. The results demonstrated a relatively high surface decontamination efficacy, with all but one location showing >5 log reduction of MS2. Coupons located on the roll‐off truck's inside‐back bumper contained the highest level of grime and resulted in a 4 log reduction of MS2. There was no significant difference in C&D efficacy across vehicle types, but locations impacted by grime and lack of accessibility achieved lower efficacies on average. These findings suggest that common C&D protocols, when applied to farm mortality transport vehicles, are effective. Hard‐to‐access locations containing high levels of grime may be candidates for additional targeted treatment.
Assessing channel geometry in response to land use disturbance in a low‐relief, glacially conditioned setting
Authors: Tetford Pamela E. , Desloges Joseph R. 
Published: August 2023

AbstractBankfull stage, the highest flow elevation contained by a river channel before overbank flooding occurs, is the presumed threshold for channel morphological change. At bankfull, the channel boundary experiences the highest shear stress, producing somewhat predictable hydraulic relationships and a cross‐sectional form. However, land use and glacial conditioning can profoundly impact a channel's geomorphic responses. Two common methods characterize bankfull flow: one based on flow frequency and other based on channel form. This study considers a simplified approach to identify upstream land use relative to estimates of bankfull flow versus a channel's geometric form. The approach compares archived geomorphic surveys of 140 river reaches in southern Ontario, Canada, to 2‐year flood quantiles modelled from historical flood data of 207 gauge stations. Flood frequency analysis determines that annual maximum series (AMS) datasets, fitted to optimized probabilistic distributions, underestimate discharge for low‐magnitude, high‐frequency flood events compared to partial duration series (PDS) datasets. For smaller drainage areas (<100 km2) associated with an extensive agricultural activity and/or urbanization, the estimates of bankfull discharge (Qbf) generated by cross‐sectional channel geometry are greater than the gauge‐derived Q2 values. Channels impacted by high levels of upstream land use disturbance show statistically significant lower width‐to‐depth ratios (p < 0.001) and a trend towards a finer D50 bed material, suggesting enhanced surface runoff delivering more mobile finer sediments and channel confinement or incision. This research quantifies the formative bankfull stage to better understand the link between land use and a channel's ‘natural’ hydrogeomorphic response in a low‐relief, glacially conditioned setting.
Positive or negative? The effects of scientific inquiry on science achievement via attitudes toward science
Authors: Wan Zhi Hong , Zhan Ying , Zhang Yanan 
Published: August 2023

AbstractScience education researchers and curriculum documents have advocated scientific inquiry for more than six decades; however, inconsistent findings concerning its effects on students' learning outcomes have been revealed in recent analyses of large‐scale international assessment data (e.g., the Programme for International Student Assessment [PISA]). This has evoked considerable concern given the significant role that inquiry plays in science education. To unpack the complex influence of inquiry on science achievement, this study used the PISA 2015 data from eight Western or East Asian regions to explore the effects of inquiry on students' science achievement and the mediation of attitudes toward science. The results indicated that despite the negative effects that the investigation aspect of inquiry had on science achievement, the explanation aspect of inquiry had positive effects on science achievement for the Western, East Asian, and whole samples. When all of the effects of both the investigation and explanation aspects were integrated, the overall influence of inquiry on students' science achievement was found to be positive for the whole and East Asian samples and slightly negative for the Western sample. This study highlights the necessity of considering different facets of inquiry and different types of effects when investigating the effects of inquiry on science achievement and achieving a better balance between the investigation and explanation processes when implementing inquiry in school classrooms.
An Updated Overview on the Synthesis and Anticancer Evaluation of Quinazoline Derivatives
Authors: Kaur Jasneet , Kaur Sukhmeet , Anand Amit , Islam Nasarul , Singh Simrandeep , Singh Akshdeep 
Published: August 2023

AbstractCancer, a leading global cause of death, necessitates the exploration of safer and more effective anticancer drugs due to the adverse side effects associated with current cytotoxic treatments. Quinazoline and its derivatives have emerged as a promising class of drugs with demonstrated efficacy against diverse tumor types. In light of these advancements, this comprehensive review aims to outline recent developments in the utilization of quinazoline derivatives as anticancer agents. Additionally, the article offers valuable insights into the potential for novel quinazoline derivatives to serve as future anticancer drugs. By delving into the structure‐activity relationship study, this review equips researchers with a thorough understanding necessary for designing a substantial number of impactful quinazoline compounds, which hold great potential in the treatment of various life‐threatening disorders.
A General Synthesis of Crystal Phase Controllable Aerogels for Efficient Hydrogen Evolution
Authors: Deng Kai , Wang Wenxin , Lian Zilong , Yu Hongjie , Wang Ziqiang , Xu You , Wang Hongjing , Wang Liang 
Published: August 2023

AbstractAmorphous/crystalline (a/c) hetero‐phase structures are considered as a class of efficient electrocatalysts for hydrogen evolution reaction (HER), but it remains a substantial challenge to obtain the specific phase by phase‐selective synthesis. In this work, a general route for the preparation of various heterogeneous aerogels (RuB, PtB, PdB, and RhB) consisting of amorphous and crystalline phases is presented through a controlled NaBH4 reduction method. The prepared a/c‐RuB aerogel exhibits better HER performance due to their desirable compositional and structural advantages such as more exposed active sites, optimized electronic structure, and interfacial synergistic effects. It requires only a low overpotential of 39 mV to reach a density of 10 mA cm−2 and also exhibits excellent stability. This work provides a new phase‐selective synthesis strategy for the design and development of advanced hetero‐phase electrocatalysts.
Interphase Modulated Early‐Stage Zn Electrodeposition Mechanism
Authors: Zhao Jin , Lv Zhizhen , Wang Shijie , Chen Zhihui , Meng Zeyi , Li Guoxin , Guo Congshan , Liu Tingting , Hui Jingshu 
Published: August 2023

AbstractZn electrodeposition mechanism is a cornerstone of dendritic issue exploration in Zn‐ion battery. Investigation of the inherent early‐stage Zn plating kinetics and its dependence on the reactivity of anode‐electrolyte interphase is crucial. Herein, the kinetic evolution of Zn plating on three characteristic substrates is quantified: fresh Zn, commercial Zn foil, and Zn foil with spontaneously generated solid‐electrolyte interphase (SEI). Using scanning electrochemical microscopy analysis, the original interphase regulation of Zn deposit orientation and the competitive reaction between Zn deposition and SEI passivation are studied in situ. Furthermore, the SEI layer can suppress the dendrite growth at initial state by guiding the horizontal alignment of Zn flakes and promote Zn plating process. This approach provided a feasible consideration into interphase engineering of various metal anodes.
Interactions between job search and housing decisions: A structural estimation
Authors: Rendon Sílvio , Quella‐Isla Núria 
Published: August 2023

AbstractHousing and financial market shocks affect frictional labor markets. We structurally estimate a model of job search with accumulation of liquid and residential wealth and randomly persistent house prices. Using NLSY data from 1978 to 2000, we show that reservation wages and nonemployment increase in total wealth and respond to the composition of wealth, home prices and financial markets' tightness. We cluster counties of residence by HPI growth and find a residential wealth effect on labor markets that erodes with fast home price growth. When we counterfactually fix downpayment rates above observed trajectories, nonemployment becomes one percentage point higher in counties of average or fast home price growth and 1.2 percentage points lower where home prices are stagnant. Fixing interest rates at 2% generates a 0.5 percentage point decline in nonemployment in counties with no home price growth, but no changes where price growth is average or fast.
Joint Offering Evaluation Framework for Assessing the Feasibility and Business Value of a Digital Twin Use Case
Authors: Saari Leila , Räikkönen Minna , Hytönen Eemeli , Valkokari Katri 
Published: August 2023

AbstractThe complexity of industrial challenges is emerging together with the exponentially developing information and communication technologies (ICT) that provide several implementation approaches for systems engineering. It is difficult for a single company to follow technological development and remain a pioneer in every topic. Still, the industrial challenges require experts in each technology. Therefore, collaboration among technology providers is an opportunity to gather all resources and competences needed for full delivery. A joint offering (JO) is a solution, that is, co‐created in collaboration between two or more actors that usually have complementary technological skills or value‐creation logics. A JO has several doubts relating to the use case (UC) in hand, the feasibility of the joint solution to be co‐created, the resources and skills needed to deliver the joint solution, the partners, the business value creation, the elements of the contract and the ownership of the outcome, just to mention a few. The Joint Offering Evaluation Framework (JOEF) uncovers these issues and supports decision‐making before the development of a JO starts. The JOEF comprises the Joint Offering Playbook and the Business Value Toolset (BVT). The Playbook offers seven viewpoints with checklists and tools for IT solution providers considering collaboration and co‐creation for a solution that they cannot deliver or sell alone. The BVT evaluates and illustrates the business value of a JO from the viewpoints of both creation and delivery, together with value capture and assessment. The JOEF was piloted with a digital twin (DT) UC from the pulp and paper industry.
CircCRIM1/microRNA‐141‐3p/thioredoxin‐binding protein axis mediates neuronal apoptosis after cerebral ischemia‐reperfusion
Authors: Hu Teng , Li Di , Fan TiePing , Zhao XuSheng , Chen ZhongJun 
Published: August 2023

AbstractNumerous studies have indicated enrichment of circular RNA (circRNA) in the brain takes on a momentous role in cerebral ischemia‐reperfusion (CIR) injury. A recent study discovered a novel circCRIM1, was highly expressed in the middle cerebral artery occlusion‐reperfusion (MCAO/R) model. Nevertheless, its specific biological function remained unknown. The study was to explore circCRIM1 in CIR‐induced neuronal apoptosis. As measured, circCRIM1 and TXNIP were up‐regulated, while miR‐141‐3p was down‐regulated in MCAO/R mouse model and OGD/R SH‐SY5Y cells. Depleting circCRIM1 reduced the number of apoptotic neurons in MCAO/R rats, increased the number of Nissl bodies, prevented reactive oxygen species production and oxidative stress imbalance in brain tissues, repressed cleaved caspase‐3, Bax, and Cyto C protein levels and increased Bcl‐2 levels. Overexpression of circCRIM1 further repressed neuronal activity and accelerated apoptosis in OGD/R model, disrupted redox balance. Depleting circCRIM1 had the opposite effect in OGD/R model. Knocking down miR‐141‐3p or TXNIP weakened the effects of knocking down circCRIM1 or overexpressing circCRIM1, separately. Mechanistically, circCRIM1 exerted an active role in CIR injury via miR‐141‐3p to mediate TXNIP. All in all, the circCRIM1/miR‐141‐3p/TXNIP axis might be a latent therapeutic target for CIR injury.
Assessing the double‐edged of extracellular signal‐regulated kinase/CCAAT‐enhancer‐binding protein beta signaling pathway in arsenic‐induced skin damage and its potential foodborne interventions
Authors: Yang Fan , Hu Dexiu , Du Sufei , Wu Liping , Gong Maoyuan , Zhang Yuhong , Yang Xingcan , Yang Yang , Chen Ruobi , Xu Yuyan , Zeng Qibing 
Published: August 2023

AbstractArsenic exposure is a major environmental public health challenge worldwide. As typical manifestations for arsenic exposure, the pathogenesis of arsenic‐induced skin lesions has not been fully elucidated, as well as the lack of effective control measures. In this study, we first determined the short‐term and high‐dose arsenic exposure can increase the apoptosis rates, while long‐term low‐dose arsenic exposure decrease the apoptosis rates. Then, the HaCaT cells with knockdown and overexpression of CCAAT‐enhancer‐binding protein β (CEBPB) and extracellular signal‐regulated kinase (ERK) were constructed. The results demonstrate that knockdown of CEBPB and ERK can reduce NaAsO2‐induced cell apoptosis by inhibiting ERK/CEBPB signaling pathway and vice versa. Further cells were treated with Kaji‐Ichigoside F1 (KF1). The results clearly show that KF1 can decrease the arsenic‐induced cell apoptosis rates and the expression of ERK/CEBPB signaling pathway‐related genes. These results provide evidence that ERK/CEBPB signaling pathway acts as a double‐edged sword in arsenic‐induced skin damage. Another interesting finding was that KF1 can alleviate arsenic‐induced skin cell apoptosis by inhibiting the ERK/CEBPB signaling pathway. This study will contribute to a deeper understanding of the mechanisms of arsenic‐induced skin cell apoptosis, and our findings will help to identify a potential food‐borne intervention in arsenic detoxification.
Effects and possible mechanisms of combined exposure to noise and carbon monoxide on male reproductive system in rats
Authors: Li Yingqing , Zhang Zhonghao , Wang Jiankang , Liu Chang , Liu Yang , Jiang Xiao , Chen Qing , Ao Lin , Cao Jia , Sun Lei , Han Fei , Liu Jinyi 
Published: August 2023

AbstractEnvironmental hazards are an increasing concern due to the rapid pace of industrialization. Among these hazards, noise and carbon monoxide (CO) are common risk factors and have been shown to cause serious health problems. However, existing studies focused on the individual effects of noise and CO exposure and the combined effects of these two factors remain poorly understood. Our study aimed to examine the combined effects of noise and CO exposure on testicular function by constructing individual and combined exposure models. Our findings indicated that combined exposure to noise and CO was associated with a higher risk of testicular damage and male reproductive damage when compared to exposure alone. This was evidenced by poorer semen quality and more severe pathological damage to the testis. This combined exposure led to higher levels of oxidative stress and apoptosis in the testes, with bioinformatics analyses suggesting the signaling pathways involved in these responses. Specifically, activation of the P53 signaling pathway was found to contribute to the testicular damage caused by the combined exposure. Encouragingly, pterostilbene (PTE), a novel phytochemical, alleviated combined exposure‐induced testicular damage by reducing oxidative stress and germ cell apoptosis. Overall, we identified joint reproductive toxicity resulting from the exposure to noise and CO, and found that PTE is a promising potential treatment for injuries caused by these factors.The cover image is based on the Research Article Effects and possible mechanisms of combined exposure to noise and carbon monoxide on male reproductive system in rats by Yingqing Li et al., https://doi.org/10.1002/tox.23927.
Indoor Thermal Comfort Controller Integrating Human Interaction in the Control-Loop as a Live Component
Authors: Segovia Edgar , van Schaik Paul , Vukovic Vladimir 
Published: August 2023

AbstractThis research integrates the human component as a living part of the control loop, using preferences to optimise energy consumption. This paper presents an outline of a temperature controller, which is based on the theory of thermal comfort and uses fuzzy logic to optimise comfort and reduce energy consumption. The controller allows multiple-inputs, from more than one single user to set a temperature-setpoint. The control-logic was developed in MATLAB using the Simulink tool in the simulations, energy use is optimized, reducing energy consumption between 22 and 31%. The controller was tested in an office to improve the average thermal sensation of the participants between 14 and 17%. In future works increase the sample size and evaluate the non-energy impacts of the energy efficiency on thermal comfort.
The Analysis of Sensory Data from Smart Office Environment Towards the Development of an Intelligent System
Authors: Hall Jack , Shakmak Bubaker , Al-Habaibeh Amin , Kanjo Eiman 
Published: August 2023

AbstractWith the increase in energy prices and the drive to reduce carbon emission, this paper presents an investigation of the use of smart office environments to monitor and evaluate the sustainability and behaviour of employees and the utilisation of space and resources. This paper presents analysis of data in an office environment in a company in Derby city to attempt to understand the behaviour of employees, pattern of work, power consumption and performance of heating and air-conditioning systems. Data from occupancy, room temperature, CO2, humidity, lighting, air temperature, windows status are all collected and analysed. The data also included external environmental conditions. The results indicate some correlation between CO2 levels and the number of employees. They also show correlation between outside and inside environmental conditions. In addition, the utilisation of space was also monitored, and the results demonstrate low utilisation during most days, this was due to Covid-19 and to working from home and off-site patterns. However, the data is found useful to inform future decisions about the actual space needed for normal working conditions.
Using Machine Learning to Predict Synthetic Fuel Spray Penetration from Limited Experimental Data Without Computational Fluid Dynamics
Authors: Richards Bryn , Emekwuru Nwabueze 
Published: August 2023

AbstractMachine Learning (ML) is increasingly used to predict fuel spray characteristics, but ML conventionally requires large datasets for training. There is a problem of limited training data in the field of synthetic fuel sprays. One solution is to reproduce experimental results using Computational Fluid Dynamics (CFD) and then to augment or replace experimental data with more abundant CFD output data. However, this approach can obscure the relationship of the neural network to the training data by introducing new factors, such as CFD grid design, turbulence model, near-wall treatment, and the particle tracking approach. This paper argues that CFD can be eliminated as a data augmentation tool in favour of a systematic treatment of the uncertainty in the neural network training. Confidence intervals are calculated for neural network outputs, and these encompass both (1) uncertainty due to errors in experimental measurements of the neural networks’ training data and (2) uncertainty due to under-training the neural networks with limited experimental data. This approach potentially improves the usefulness of artificial neural networks for predicting the behaviour of sprays in engineering applications. Confidence intervals represent a more rigorous and trustworthy measure of the reliability of a neural network’s predictions than a conventional validation exercise. Furthermore, when data are limited, the best use of all available data is to improve the training of a neural network and our confidence in that training, rather than to reserve data for ad-hoc testing, which exercise can only at best approximate a confidence interval.