bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of the metabolic pathways and hepatic macrophage subsets in mouse models of MASH
Authors: Xia Erzhuo , Zhang Miao , Li Chongxiao , Li Bo , Ma Shuoyi , Fan Qingling , Hu Yinan , Tian Siyuan , Zhou Xia , Su Rui , Ma Gang , Zheng Xiaohong , Han Ying , Wang Jingbo 
Published: November 2024

Abstract

Background
Metabolic dysfunction-associated steatohepatitis (MASH), a more severe subtype of Metabolic dysfunction-associated steatotic liver disease (MASLD), can lead to cirrhosis and hepatocellular carcinoma. Monocyte-derived macrophages (MDMs) play a central role in NASH. Single-cell and spatial transcriptomic technologies have revealed that MDMs react to niche-specific and inflammatory signals to differentiate into Monocyte-derived Kupffer cells (MoKCs) or hepatic lipid-associated macrophages (LAMs)/CCR2+ lipid-associated macrophages (C-LAMs). However, we still lack further descriptions of specific subsets of hepatic macrophages in different MASH models.
Methods
Two MASH models were established by either giving a methionine-choline-deficient (MCD) diet for 4 weeks or a high-fat‒fructose‒cholesterol (HFFC) diet for 16 weeks. Liver tissues were collected for pathological analyses with hematoxylin and eosin, Oil Red O and F4/80 staining. The expression of lipid metabolism enzymes and inflammatory cytokines were detected using quantitative reverse transcription-polymerase chain reaction (RT‒qPCR). Flow cytometry was utilized to analyze the composition of isolated hepatic macrophages.
Results
Our study revealed that after a HFFC diet or MCD diet feeding, two MASH models presented opposite changes in the FFA synthesis pathway. The MCD and HFFC diets induce the same alternation in the composition of hepatic macrophages characterized by a decrease in Embryo-derived Kupffer cells (EmKCs) and a concomitant increase in MDMs. However, the composition of the KC pool differed between MCD- and HFFC-fed mice. The MCD diet induced a greater loss of EmKCs, accompanied by more recruited monocytes. HFFC-fed mice contain more MoKCs than MCD-fed mice, whereas MCD-fed mice have more C-LAMs and LAMs than HFFC-fed mice.
Conclusions
MCD- and HFFC-fed mice have a different composition of KC pool
Olaparib reverses prostate cancer resistance to Rapamycin by promoting macrophage polarization towards the M1 phenotype
Authors: Ye Kai , Shi Gang , Xu Jian , Qiao Kunyan , Dai Qinghai , Huo Zhixiao , Cao Yu , Liu Wei , Hu Yue , Yan Lihua , Zhu Yu , Li Ping , Su Rui , Xu Liang , Mi Yuqiang 
Published: November 2024

Abstract

Prostate cancer (PCa) is the most common non-cutaneous malignancy and the second leading cause of cancer-related death in men. Despite its prevalence, treatment outcomes are often unsatisfactory, necessitating the search for more effective therapeutic approaches. mTOR inhibitor Rapamycin (RAPA) has shown promise in managing PCa, but the emergence of resistance often undermines its long-term effectiveness. Recent studies suggest that PARP inhibitor Olaparib (OLP) may overcome drug resistance in various tumor types. This study aims to assess the efficacy of OLP in treating RAPA-resistant PCa, with a specific focus on elucidating its underlying molecular mechanisms. This study utilized drug exposure and concentration escalation experiments to establish human RAPA-resistant PCa cell line (PC-3R) based on the human PCa cell line (PC-3). PC-3R cell lines were screened through a cloning assay. The efficacy of OLP in RAPA-resistant PCa, as well as its regulatory impact on tumor-associated macrophages (TAMs), was evaluated through a combination of real-time PCR, ELISA, immunohistochemistry, and fluorescence experiments. This study unveiled that the combination of OLP and RAPA effectively suppressed the proliferation, stemness, invasion, angiogenesis, apoptosis resistance, and anti-oxidative stress capacity of RAPA-resistant PCa. Additionally, it demonstrated the capacity of OLP to regulate macrophage polarization within the tumor microenvironment and reverse drug resistance to RAPA in PCa. The findings of this study lay a theoretical foundation for the potential utilization of OLP in the treatment of RAPA-resistant PCa, offering substantial academic significance and promising application prospects.
Flexible Monolithic 2-terminal Kesterite Cu2ZnSnSe4 /Perovskite Tandem Solar Cells
Authors: Rehan Muhammad , Tran Hung , Jeong Inyoung , Cho Ara , Ahn Sejin , Hong Sungjun , Kim Junho , Kim Kihwan , Yun Jae Ho , Gwak Jihye , Shin Donghyeop 
Published: November 2024

Abstract

Currently, perovskite/Si tandem record cell exceeded 33% efficiency which is higher than a theoretical Si single-junction cell. Given poor flexible Si cells and high demands on BIPV, fabrication of high-efficiency flexible solar cells is essential. Earth-abundant kesterite photovoltaics attract strong attention due to high flexibility and low fabrication cost. Nevertheless, challenges to realize high-efficiency flexible kesterite solar cells remain because of high-growth temperature and rough surface. In this work, the Ag incorporation in CZTSe film addresses aforementioned material and process issues. The highest efficiency of 7.3% has been achieved among flexible CZTSe single-junction cells on polyimide substrate. Moreover, we successfully demonstrated a CZTSe/perovskite tandem solar cell with 16.4% (on glass) and 11.35% (on flexible PI). These results imply that Ag incorporation is a universal method to offer a promising approach to produce flexible chalcogenide solar cells and tandem device applications.
Research on olive mill waste: Insights from patent citations
Authors: Mhamdi Ridha 
Published: November 2024

Abstract

Olive mill waste (OMW), a byproduct of olive oil production, presents significant environmental challenges but offers potential for valorization. This study investigates the technological impact of research on OMW from 1996 to 2023 by analyzing patent citations. Using a dataset of 2,448 publications from Scopus, we identified 151 papers cited by patents (around 7%), including research articles, reviews, and conference papers. Patent citations were analyzed using the SciVal and Espacenet databases, focusing on key technological advancements. The results show a moderate correlation between academic and patent citations, with publications in lower quartiles rarely cited in patents. Notably, 89% of patent citations were attributed to research articles, with reviews and conference papers showing a lower global patent impact. The most cited papers by patents frequently overlap with the most cited works in scientific literature, underscoring their significant influence on both domains. Key research topics include the recovery of valuable compounds, bioenergy production, and innovative wastewater treatment methods. The citing patents reflect a strong emphasis on sustainable processes, circular economy principles, and the transformation of agricultural waste into high-value products. The study highlights disparities between the most influential countries in terms of authorship of cited publications and ownership of citing patents. While Mediterranean countries like Spain and Italy lead in OMW research output, the United States dominates patent ownership, reflecting a gap between research production and technological application. Encouraging international collaboration, particularly between research-producing and patent-owning countries, is crucial for enhancing the technological impact of OMW research.
«Белые пятна» имажинарной этногеографии «Повести временных лет»: Методологические и полемические заметки о локализации общностей дулебов, дреговичей, радимичей, тиверцев и хорватов
Authors: А.С. Щавелев 
Published: November 2024

В статье поставлена задача проанализировать сложные случаи локализации отдельных славянских общностей Xвека. В большинстве случаев эта сложность обусловлена дефицитом информации, невозможностью реконструировать изначальный текст того или иного известия и сложностями интерпретации и отождествления ономастических единиц, которые являются географическими маркерами. В статье обосновывается невозможность точной локализации дреговичей, радимичей и тиверцев. Упоминания дулебов в Повести временных лет является анахронизмом, эта общность уже не существовала в Xвеке. Общности хорватов на границах Руси никогда не было, акнязь Владимир Святославич ходил походом на Хорватию на Балканах.
The paper sets the task of analyzing complex cases of localization of some Slavic communities of the 10th century. In most cases, this complexity is due to a lack of information, the inability to reconstruct the original text of a particular text-item, and the difficulties of interpreting and identifying onomastic units, which are geographical markers. The paper proves the impossibility of the exact localization of Dregovichi, Radimichi and Tivertsy. The mention of Dulebes in the Primary Chronicle is an anachronism this community no longer existed in the 10th century. There was never a community of Croats on the borders of Rus, and Prince Vladimir Sviatoslavich went on a campaign against Croatia in the Balkans.
XIII конференция по цифровым подходам к изучению картографического наследия (Мадрид, 18–20 апреля 2018 года)
Authors: И.Г. Коновалова , А.А. Фролов 
Published: November 2024

Обзор XIII конференции по цифровым подходам к изучению картографического наследия, состоявшейся в Мадриде с 18 по 20 апреля 2018 г.
Review of the 16th International conference of historical geographers held in London from 5 to 10 July of 2015.
Integrated machine learning models for enhancing tropical rainfall prediction using NASA POWER meteorological data
Authors: Saleh Azlan , Tan Mou Leong , Yaseen Zaher Mundher , Zhang Fei 
Published: November 2024

ABSTRACT

This research evaluates the performance of deep learning (DL) models in predicting rainfall in George Town, Penang, utilizing the open-source NASA POWER meteorological data, which includes variables such as rainfall, dew point, solar radiation, wind speed, relative humidity, and temperature. This study introduces a newly developed hybrid DL based on the integration of a 2D convolutional neural network (CNN2D) with a bidirectional recurrent neural network (BRNN) and a bidirectional gated recurrent unit (BGRU). The proposed models, CNN2D–BGRU and BRNN–BGRU, were compared against standalone models CNN2D, BRNN, and BGRU. The results indicate that the BRNN–BGRU model is the most effective, with a root mean square error (RMSE) value of 2.59, a mean absolute error (MAE) value of 1.97, a Pearson correlation coefficient (PCC) value of 0.79, and a Willmott index (WI) value of 0.88. In a 3-day prediction, the BRNN–BGRU model also performed the best, with a test WI value of 0.83, a PCC value of 0.69, a RMSE value of 3.02, and MAE value of 2.34. The hybrid BRNN–BGRU model consistently excels in predicting multi-step rainfall in tropical regions using the NASA POWER dataset. These findings can contribute to the development of advanced rainfall-predicting systems for more effective management of water resources and flooding in urban areas.
Development and implementation of a leak detection model with the genetic algorithm
Authors: Boztaş Furkan , Firat Mahmut 
Published: November 2024

ABSTRACT

The aim of this study is to propose a two-step solution methodology based on hydraulic modeling and optimization algorithms using pressure residuals for leak detection water distribution networks (WDNs). In the first step, a leakage detection model is created by performing a series of hydraulic simulations. In the second step, the leak detection problem is defined in accordance with an leakage detection model (LDM)-based solution and a method that will perform the leak detection in WDNs faster and more precisely. The model was tested on a hypothetical network designed for this study and the well-known Hanoi network, a widely used benchmark in hydraulic studies, frequently employed for performance comparison in leak detection research. The cumulative correct result rate is 92%. In the hypothetical network, the most marked node matched with the real leakage location after running the algorithm for a maximum of five times. The method may reduce economic losses by shortening detection times.
Groundwater salinization and suitability assessment in the coastal aquifer of the Thiruvallur district, India
Authors: A Vijayakumar , G Kumar , S Selvakumar 
Published: November 2024

ABSTRACT

This study was conducted to assess the groundwater suitability for drinking and irrigation and to recognize the comprehensive controls of groundwater salinization in the coastal regions of the Thiruvallur district. For this purpose, groundwater from 54 dug and bore wells at locations covering most of the coastal aquifer within 10 km was sampled and analyzed for various physicochemical parameters. The analytical results expose that the groundwater in the study area is slightly alkaline to alkaline, moderately fresh to highly saline, and very high in hardness. The dominance of significant ion concentrations was found in the following order: Na+ &gt; Ca2+ &gt; Mg2+ &gt; K+ = Cl− &gt; HCO3− &gt; SO42− &gt; NO3− &gt;PO43− &gt; F–. The Water Quality Index (WQI) map shows that 70% of the groundwater samples are unsuitable for drinking due to the enhanced levels of TDS, salinity, and significant major ionic concentrations. However, the rest of the groundwater samples are in excellent to good condition. The Hydrochemical Facies Evaluation Diagram (HFE-D) reveals that many samples show the overlapping in the mixing line between fresh groundwater and saltwater caused by seawater intrusion.
Public Preference and Priorities for Including Vaccines in China’s National Immunization Program: Discrete Choice Experiment
Authors: Zhang Lingli , Li Xin , Chen Jiali , Wang Xiaoye , Sun Yuyang 
Published: November 2024

Abstract

Background
Several important vaccines, such as the Haemophilus influenzae type b vaccine, rotavirus vaccine, pneumococcal conjugate vaccine, and influenza vaccine, have not been included in China’s National Immunization Program (NIP) due to a prolonged absence of updates and limited resources. Public engagement could identify concerns that require attention and foster trust to ensure continuous support for immunization.

Objective
This study aimed to identify public preferences for vaccine inclusion in the NIP and to determine the desired vaccine funding priorities in the Chinese population.

Methods
A dual-response discrete choice experiment was utilized to estimate the relative importance of 6 attributes, including incidence of vaccine-preventable diseases, mortality of vaccine-preventable diseases, vaccine effectiveness, vaccine cost, vaccinated group, and vaccine coverage. Participants were recruited through the Wenjuanxing platform using a census-based quota sample of the nationwide population aged 18 years and older. A mixed logit model was used to estimate the coefficient of attribute preferences and predict the selection probability. Subgroups and interaction effects were analyzed to examine the heterogeneity in preferences.

Results
In total, 1258 participants completed the survey, of which 880 were involved in the main analysis and 1166 in the sensitivity analysis. The relative importance and model estimates of 2 attributes, vaccine cost and vaccination group, varied between the unforced- and forced-choice settings. All 6 vaccine attributes significantly influenced the preferences for vaccine inclusion, with vaccine effectiveness and coverage as the most important factors, followed by the vaccinated group and mortality of vaccine-preventable diseases in the unforced-choice settings. The top vaccines recommended for China’s NIP included the varicella vaccine, Haemophilus influenzae type b vaccine, enterovirus 71 vaccine, and influenza vaccine for preschoolers and school-aged children. The current analysis also revealed distinct preference patterns among different subgroups, such as gender, age, education, and income. The interaction analysis indicated that the region and health status of participants contribute to preference heterogeneity.

Conclusions
Public preferences for including vaccines in the NIP were primarily influenced by vaccine effectiveness and coverage. The varicella vaccine should be prioritized for inclusion in the NIP. The public preferences could provide valuable insights when incorporating new vaccines in the NIP.
Using a Mobile Health App (ColonClean) to Enhance the Effectiveness of Bowel Preparation: Development and Usability Study
Authors: Chen Hui-Yu , Tu Ming-Hsiang , Chen Miao-Yen 
Published: November 2024

Abstract

Background
Colonoscopy is the standard diagnostic method for colorectal cancer. Patients usually receive written and verbal instructions for bowel preparation (BP) before the procedure. Failure to understand the importance of BP can lead to inadequate BP in 25%-30% of patients. The quality of BP impacts the success of colonoscopy in diagnostic yield and adenoma detection. We developed the “ColonClean” mobile health (mHealth) app for Android devices. It incorporates visual representations of dietary guidelines, steps for using bowel cleansing agents, and observations of the last bowel movement. We used the Technology Acceptance Model to investigate whether the use of the ColonClean mHealth app can improve users’ attitudes and behaviors toward BP.

Objective
This study aims to validate the effectiveness of the ColonClean app in enhancing user behavior and improving BP, providing safe and cost-effective outpatient colonoscopy guidance.

Methods
This study uses a structured questionnaire to assess perceived usefulness, perceived ease of use, and users’ attitudes and behaviors toward BP regarding the ColonClean mHealth app. A total of 40 outpatients who were physically and mentally healthy and proficient in Chinese were randomly chosen for this study. The data were analyzed using SPSS 25.0, and we used Pearson product-moment correlation and simple regression analysis to predict the perception of ColonClean.

Results
The results showed that 75% (30/40) of participants achieved an “excellent” or “good” level of BP according to the Aronchick Bowel Preparation Scale. Perceived usefulness and perceived ease of use of the ColonClean mHealth app were positively correlated with users’ attitudes and behaviors (P<.05).

Conclusions
The ColonClean mHealth app serves as an educational reference and enhances the effectiveness of BP. Users expressed their willingness to use the app again in the future and recommend it to family and friends, highlighting its effectiveness as an educational guide for BP.
An Ecological Momentary Assessment and Intervention Tool for Memory in Chronic Traumatic Brain Injury: Development and Usability of Memory Ecological Momentary Intervention
Authors: Morrow Emily L , Nelson Lyndsay A , Duff Melissa C , Mayberry Lindsay S 
Published: November 2024

Abstract

Background
Memory and learning deficits are among the most impactful and longest-lasting symptoms experienced by people with chronic traumatic brain injury (TBI). Despite the persistence of post-TBI memory deficits and their implications for community reintegration, memory rehabilitation is restricted to short-term care within structured therapy sessions. Technology shows promise to extend memory rehabilitation into daily life and to increase the number and contextual diversity of learning opportunities. Ecological momentary assessment and intervention frameworks leverage mobile phone technology to assess and support individuals’ behaviors across contexts and have shown benefits in other chronic conditions. However, few studies have used regular outreach via text messaging for adults with chronic TBI, and none have done so to assess and support memory.

Objective
This study aimed to develop and test the usability of memory ecological momentary intervention (MEMI), a text message–based assessment and intervention tool for memory in daily life. MEMI is designed to introduce new information, cue retrieval of the information, and assess learning across time and contexts. We tested MEMI via an iterative, user-centered design process to ready it for a future trial.

Methods
We developed MEMI by leveraging automated text messages for prompts using a REDCap (Research Electronic Data Capture)/Twilio interface linking to the Gorilla web-based behavioral experimental platform. We recruited 14 adults with chronic, moderate-severe TBI from the Vanderbilt Brain Injury Patient Registry to participate in 3 rounds of usability testing: one round of ThinkAloud sessions using the platform and providing real-time feedback to an experimenter (n=4) and 2 rounds of real-world usability testing in which participants used MEMI in their daily lives for a week and provided feedback (n=5/round). We analyzed engagement and quantitative and qualitative user feedback to assess MEMI’s usability and acceptability.

Results
Participants were highly engaged with MEMI, completing an average of 11.8 out of 12 (98%) possible sessions. They rated MEMI as highly usable, with scores on the System Usability Scale across all rounds equivalent to an A+ on a standardized scale. In semistructured interviews, they stated that MEMI was simple and easy to use, that daily retrieval sessions were not burdensome, and that they perceived MEMI as helpful for memory. We identified a few small issues (eg, instruction wording) and made improvements between usability testing rounds.

Conclusions
Testing MEMI with adults with chronic TBI revealed that this technology is highly usable and favorably rated for this population. We incorporated feedback regarding users’ preferences and plan to test the efficacy of this tool in a future clinical trial.