bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy of short-term intensive home-based cognitive training combined with physical exercise in older adults: a single-arm trial
Authors: Lim Ikhyun , Shin Seyoung , Baek Hongseok , Park EunYoung , Hong Jeong Min , Kim Jong Moon , Kim MinYoung 
Published: February 2024

Abstract
Background Previous studies note the significant effects of Cognitive Training (CT) on older adults, but achieving consensus on optimal dosage is challenging due to intervention protocol heterogeneity. Short-term training seems preferable for clinical use due to potential elderly dropout during long-term intervention
Aims To evaluate the efficacy of 4-week intensive home-based cognitive and physical training on personal function in older adults.
Methods This prospective single-arm intervention study enrolled older adults aged ≥65 years who were capable of independently performing activities of daily living. Adults with a Mini-Mental Status Examination (MMSE) score of <24 points, a history of any brain injury, or difficulty in continuing the intervention were excluded. The training program comprised 1–2-hour cognitive tasks and 1-hour physical exercise for 5 days per week for 4 consecutive weeks. The MMSE, Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), Berg Balance Scale (BBS), and modified Barthel Index (MBI) scores were assessed before and after the intervention. Functional outcomes were analyzed according to compliance level.
Results Twenty-five participants were enrolled and completed the trial. After the intervention, functional improvements were observed, along with significantly increased MMSE, RBANS-attention, BBS, and MBI scores (Ps<0.05). The high-compliance group showed greater increment in RBANS-memory and BBS scores than the low-compliance group (Ps<0.05).
Discussion The intervention in this study might have contributed to ADL in ambulation and bathing by enhancing the balance function
Conclusion Short-term intensive cognitive training combined with physical exercise seems to be effective in enhancing multifaceted functional status in older adults.
Evaluation of Settlement Development and Future Challenges in The Tsunami Disaster Risk Area Case Study: Banda Aceh Coastal Areas
Authors: Soviana Widya , Achmad Ashfa , Syamsidik Syamsidik , Rachman Firmansyah , Munirwansyah Munirwansyah 
Published: February 2024

Abstract

The cataclysmic tsunami in 2004 profoundly impacted the city of Banda Aceh, resulting in significant redevelopment efforts in the coastal areas. This research examines the spatial development of settlements in these regions, mainly focusing on their vulnerability to future tsunami hazards. Surveys, literature reviews, and Geographic Information System analyses assessed how current urban growth aligns with the directives outlined in the Regional Spatial Layout Plan and disaster mitigation strategies. The findings reveal a notable escalation in settlement development within Banda Aceh City, with a 73.70% increase in directed sites. However, establishing sufficient tsunami rescue facilities has yet to accompany this growth adequately. Only 3.4% of the population has access to vertical evacuation infrastructure, highlighting inadequacies in the city's preparedness for future tsunami events. This deficiency in safety infrastructure poses an elevated risk to the expanding population residing in these areas. The study underscores the need to reassess urban planning and disaster mitigation strategies comprehensively. We emphasize the urgent requirement for the government to implement policies regulating urban expansion in high-risk coastal areas and enhancing the availability and distribution of vertical evacuation facilities. These measures are of utmost importance in safeguarding the lives of Banda Aceh's residents against potential future tsunamis, thereby contributing to the city's sustainable urban development and resilience. The study also provides valuable insights and recommendations for government policymaking in urban planning, focusing on prioritizing the safety and well-being of coastal communities in regions prone to tsunamis.
Multipartite entanglement in the XXZ model with Dzyaloshinskii-Moriya interaction and external fields
Authors: LIMA LEONARDO DOS 
Published: February 2024

Abstract
In this paper, we investigate the quantum entanglement on spin-1/2 one-dimensional XXZ chain with Dzyaloshinskii-Moriya interaction (DMI) together with staggered and uniform magnetic fields on x and z directions, respectively. We use the well known mapping of this model on the sine-Gordon theory to calculate the quantum entanglement quantifiers as von Neumann entropy and entanglement negativity, which provides a useful framework for studying the emergence of quantum correlation in this model. How the behavior of the spin velocity implies in a significant impact on energy of elementary spinons excitations carrying spin S z = ±1/2, since that the DMI interaction and external fields generate a large effect on behavior of the spin velocity, we get a large influence of these coupling on quantum correlation what implies in an effect on development of quantum technologies based on this spin system.
Disentangling apricot genetic diversity in the Algerian semiarid agrosystem: Impact of graft-propagated autochthonous and introduced cultivars in a traditional seed-propagated system
Authors: Atek Younes , Egea Jose A. , Nicolás-Almansa María , Salazar Juan A. , Bahlouli Fayçal , Gómez Pedro Martínez 
Published: February 2024

Abstract
Despite the apricot cultivars introduced from Spain and France are displacing the autochthonous Algerian cultivars in each area, there are a lot of local cultivars that still have a great interest and they are cultivated in the orchards from the Algerian arid agrosystem. This study addresses the agronomical and molecular characterization of autochthonous (Algerian and Tunisian cultivars) and introduced (Spanish and French) graft-propagated apricot cultivars in a traditional seed-propagated system. Sixty-five apricot cultivated autochthonous and introduced accessions from the provinces of Batna (slightly arid area) and M´Sila (semiarid area) in Algeria have been evaluated. These cultivated accessions included autochthonous Algerian cultivars (graft and seed propagated) selected over the years for its adaptation to warm Mediterranean climate and Spanish and French introduced cultivars (graft propagated). In these materials and agronomical evaluation of phenological (budburst, flowering and ripening date), pomological (fruit weight and yield per tree) and fruit quality (firmness and acidity) traits were performed together with a molecular characterization of the genetic diversity using SSR marks. Results showed the great diversity at agronomical and molecular level of this Algerian apricot germplasm. The seed-propagated autochthonous cultivars showed a lower yield per tree and fruit weight. Seed-propagated autochthonous also showed a longer fruit development and ripening cycle in comparison with the grafted cultivars with a later ripening date. Regarding fruit quality seed-propagated autochthonous cultivars present low firmness and high acidity compared with the rest. Results also showed the effectiveness of SSRs by the correct identification, detecting some synonymies and suggesting the origin of some autochthonous cultivars. These results will provide more in-depth information to develop a strategy for in-situ conservation of cultivars and to reduce gene flow from introduced material to ancient orchards. These materials would be interesting to modify some quality traits such as the acidity or firmness and drought resistance in apricot breeding programs.
Ovarian cancer derived extracellular vesicles promote the metastasis and angiogenesis by mediating M2 macrophages polarization
Authors: Tang Xue , Ma Chengbin , Wu Qiongwei , Yu Meng 
Published: February 2024

Abstract

Background
Extracellular vesicles involve in the interplay between the cancer cells and other cells (including tumor associated macrophages) surrounding the tumor microenvironment, to remodel the tumor microenvironment and subsequently regulate the tumor progression. However, the underlying molecular mechanism of these complicated crosstalk are still unclear.
Methods
Firstly, we explored the effect of tumor-associated macrophages (TAM) on the survival prognosis among patients with ovarian cancer. Then we isolated the extracellular vesicles derived from ovarian cancer cells (OV-EVs) through ultra-centrifugation, and then analyzed the effect of OV-EVs on regulating macrophages polarization in ovarian tumor and in whole peripheral blood. Meanwhile, we explored the roles of the OV-EVs induced macrophages in tumor progression through in vitro assay and in vivo assays.
Results
OV-EVs could be encapsulated by the macrophages and could induce macrophages into M2 phenotype. Meanwhile, the OV-EVs induced-M2 macrophage could promote the angiogenesis as well as the cancer metastasis in vitro and in vivo. In addition, OV-EVs induced macrophage could stimulate the angiogenesis in vivo through increasing the expression level of VEGF and the expression level of VEGFR in tumor.
Conclusions
The present study demonstrated that OV-EVs could induce the macrophages into M2 polarization and promote the metastasis of ovarian cancer. The study provides a new insight to understand the mechanism in ovarian cancer progression.
Retrospective survival analysis of intrathecal chemotherapy for meningeal carcinomatosis
Authors: Bai Ge , Bai Ying , Wang Yan , Zou Yueli 
Published: February 2024

Abstract

Background and Objectives: Leptomeningeal metastasis, also known as leptomeningeal carcinomatosis (LMC), a rare metastatic tumor in the central nervous system, has seen an increasing incidence in recent years. This rise is attributed to improved survival rates in patients with malignant tumors. However, the treatment of LMC remains a global challenge. Intrathecal chemotherapy, the primary treatment approach, lacks standardized guidelines. This study aims to assess the efficacy, safety, and prognosis of intrathecal methotrexate, cytarabine, and pemetrexed in treating LMC. Methods This retrospective analysis encompassed clinical data and cerebrospinal fluid (CSF) laboratory tests from 66 patients with LMC. The study also examined the adverse effects and prognosis following intracranial chemotherapy. Results Of the patients treated, 73.4% experienced clinical symptomatic relief, 73.5% showed normalization of intracranial pressure, and 52.8% had negative CSF cytology results. Moreover, 64.8% reported no discomfort, while 22.2% experienced mild adverse effects. Intrathecal chemotherapy significantly reduced CSF leukocytes and tumor cell counts, as well as protein levels, in patients with LMC. Notably, a median survival of 9.6 months was observed. Factors such as age, gender, and pre-treatment intracranial pressure did not influence survival in patients receiving intrathecal chemotherapy. However, patients receiving ≥ 10 times of intrathecal chemotherapy showed a significant prolongation of survival, with a P value < 0.05. Conclusion Intrathecal chemotherapy can improve clinical symptoms, decrease elevated intracranial pressure, and markedly reduce CSF tumor cells and meningeal damage in patients with LMC. Additionally, a comprehensive course of intrathecal chemotherapy can substantially improve survival rates, with a low incidence of serious adverse effects.
Sustainable Symbiosis: Navigating Green Energy Purchase Intentions and Consumer Comfort with Remotely Controlled Energy Management
Authors: Clark Melissa , Doll Jessica 
Published: February 2024

Abstract
Green energy is at the forefront of many discussions. Renewable energy sources and smart devices are options for those wishing to lessen their reliance on fossil fuels. This study considers consumer perceptions of green energy when offered from an energy provider. Based on the theory of planned behavior (TPB), it is proposed that several variables such as environmental attitude, environmental self-identity, green history, subjective norms, and perceived behavioral control will lead to positive purchase intentions. The study also considers the variables’ effects on remotely controlled energy use (RCEU). The results indicate that environmental attitude, environmental identity, green history, and perceived behavioral control are all positively related to purchase intentions. Additionally, environmental attitude, green norms, and perceived behavioral control are positively related to RCEU. The results could have important implications for practitioners in the energy sector and citizens interested in environmental issues.
Hepatic Sirt6 protects against cholestatic liver disease primarily via inhibiting bile acid synthesis rather than antioxidation or triggering mitochondrial biogenesis
Authors: Zhang Wen , Wang Jiahui , Yang Luyao , Shao Yuyun , Peng Hongjun , Jiang Longfeng , Sheng Liang 
Published: February 2024

Abstract
Cholestatic liver disease, caused by accumulation of hazardous bile acids in the liver, may result in cirrhosis, fibrosis, or liver failure. Activation of Sirt6 prevents cholestasis-associated pathological events such as oxidative stress and mitochondrial biogenesis disorders and inhibits bile acid synthesis to alleviate cholestatic liver injury. However, it is still uncertain which route is responsible for the therapeutic effect of Sirt6 in reducing cholestasis. For this reason, we administered liver-specific Sirt6 knockout mice with N-Acetylcysteine, Keap1-Nrf2-IN-1 or acadesine to remove oxidative stress and/or trigger mitochondrial biogenesis after cholestatic liver disease modeling, but these measures did not significantly improve cholestatic symptoms. Unlike the antioxidant or triggers of mitochondrial biogenesis, MDL801, a Sirt6 agonist suppressing CYP7A1 expression and down-regulating serum bile acid levels, exhibited favorable therapeutic effects. It suggests that inhibition of hepatic bile acid synthesis is the main pathway by which Sirt6 alleviates cholestatic liver disease. These findings provide a solid basis for the possible application of Sirt6 agonists in the treatment of cholestatic liver disease.
Economic cost of mortality risks: a comparison between COVID-19 and air pollution
Authors: Reis Lara Aleluia , Emmerling Johannes , Tavoni Massimo 
Published: February 2024

Abstract
Air pollution is Europe's foremost environmental health threat, as highlighted by the European Environmental Agency. The COVID-19 pandemic has underscored the serious implications of air pollution and its potential to exacerbate diseases, including COVID-19, which could increase mortality rates. Both air pollution and COVID-19 disproportionately affect the elderly and those with pre-existing respiratory conditions. Despite this similarity, governments have been more effective in addressing COVID-19 mortality than air pollution. This discrepancy may be due to the perceived risk of COVID-19 being much higher than that of air pollution, even though air pollution may cause twice as many deaths annually. With projections estimating over 9 million deaths by 2050 due to air pollution, and considering the long-term impacts of climate change, urgent action is needed. The COVID-19 crisis has demonstrated the possibility of swift policy response with long-term economic considerations, presenting a critical opportunity for green policy initiatives. As the pandemic wanes, the urgency to leverage this momentum for environmental policy, particularly to combat air pollution and climate change, becomes more pressing, underscoring the significant health benefits of such actions.
Molecular classification of geriatric breast cancer displays distinct senescent subgroups of prognostic significance.
Authors: Wu Xia , Che Mengxin , Liu Kang , Wu Yixin , Feng Yun , Fu Shiting , Xu Huaimeng , Zhao Yongqi , Lin Feilong , Lin Liang , Ye Shihui , Lin Junqiang , Xiao Taiping , Li Wenhao , Lou Meng , Lv Hongyu , Qiu Ye , Yu Ruifan , Chen Wenyan , Li Mengyuan , Feng Xu , Luo Zhongbing , Guo Lu , Zhao Limin , Ke Hao 
Published: February 2024

Abstract
Elderly breast cancer presents distinct biological characteristics and clinical treatment responses compared to younger counterparts. According to National Comprehensive Cancer Network (NCCN) guidelines, a Comprehensive Geriatric Assessment (CGA) is recommended to develop specialized treatment plans and evaluate treatment efficacy in elderly cancer patients, based on physiological classification. However, the investigation into molecular classification in older cancer patients, which contributes to predict prognosis and guide therapeutic responses, is still lacking. In this study, we identify two subgroups displaying distinct senescent clusters among geriatric breast cancer patients through multi-omics analysis. Utilizing various machine learning algorithms to classify these two senescent clusters, we develop a comprehensive scoring model called 'Sene_Signature'. This model exhibits a better prognosis prediction for geriatric breast cancer patients than other established methods. For clinical therapeutic response prediction, Sene_Signature is shown to be correlated with tumor immune cell infiltration, which is supported by single-cell transcriptomics, and our RNA sequencing and pathological data. Furthermore, we identify increased drug responsiveness in patients with a high Sene_Signature to treatments targeting the EGFR and cell cycle pathways. Additionally, we establish a user-friendly web platform (http://zhaoliminlab.cn:8080/GBC/index.jsp) facilitating investigators in assessing potential patient Sene_Signature and treatment responses for elderly breast cancer patients based on their own sequencing data. In conclusion, we introduce a novel Sene_Signature as a means to evaluate prognosis and therapeutic response in elderly breast cancer patients. This offers a potential molecular classification that aids in the pre-treatment assessment of geriatric breast cancer.
The footprint of nuclear saturation properties on the neutron star f mode oscillation frequencies: a machine learning approach
Authors: Kumar Deepak , Malik Tuhin , Mishra Hiranmaya 
Published: February 2024

Abstract
We investigate the intricate relationships between the non-radial f mode oscillation frequencies of neutron stars (NS)s and the corresponding nuclear matter equation of state (EOS) using a machine learning (ML) approach within the ambit of the relativistic mean field (RMF) framework for nuclear matter. With two distinct parameterizations of the Walecka model, namely, (1) with non-linear self interactions of the scalar field (NL) and, (2) a density dependent Bayesian model (DDB), we perform a thorough examination of the f mode frequency in relation to various nuclear saturation properties. The correlations between the f mode frequencies and nuclear saturation properties reveal, through various analytical and ML methods, the complex nature of NSs and their potential as the cosmic laboratory for studying extreme states of matter. A principal component analysis (PCA) has been performed using mixed datasets from DDB and NL models to discriminate the relative importance of the different components of the EOS on the f mode frequencies. Additionally, a Random forest feature importance analysis also elucidates the distinct roles of these properties in determining the f mode frequency across a spectrum of NS masses. Our findings are further supported by symbolic regression searches, yielding high-accuracy relations with strong Pearson coefficients and minimal errors. These relations suggest new methodologies for probing NS core characteristics, such as energy density, pressure, and speed of sound from observations of non-radial f mode oscillations of NSs.
Dexmedetomidine impacts IDO1 and CHRM3 in breast cancer
Authors: Luo Jie , Cao Hong 
Published: February 2024

Abstract
Background
As the most invasive breast cancer (BrCa), triple-negative BrCa (TNBC) has the worst survival. The use of dexmedetomidine potentially affected BrCa surgery and dexmedetomidine was reported to have direct effects on TNBC cells. The objective of this study is to explore the mechanisms underlying the effect of dexmedetomidine on TNBC.
Methods
Dexmedetomidine targets were predicted using The Cancer Genome Atlas data SwissTargetPrediction. Cell lines MDA-MB-231, MCF7, and MCF10A were used to validate the targets in TNBC with both clinical samples and cell lines. Cancer cell lines and normal breast cell lines were grouped in cancer and normal groups respectively. Both groups were exposed to dexmedetomidine treatment. Cell Counting Kit-8 was used to determine the effect of dexmedetomidine on cells with target silencing. The binding model of the candidate targets was docked and critical amino acids were mutated to validate the binding model.
Results
Dexmedetomidine selectively inhibits cancer cells. Catalytic subunit of the DNA-dependent protein kinase (PRKDC), indoleamine 2,3-dioxygenase 1 (IDO1), opioid receptor kappa 1 (OPRK1), glutaminyl-peptide cyclotransferase (QPCT), macrophage migration inhibitory factor (MIF), potassium voltage-gated channel, subfamily H (Eag-related), member 2 (KCNH2), cholinergic receptor, muscarinic 3 (CHRM3), and potassium intermediate/small conductance calcium-activated channel, subfamily N, member 4 (KCNN4) were identified as dexmedetomidine targets in TNBC. The expression levels of PRKDC, IDO1, MIF, KCNH2, CHRM3, and KCNN4 were found to be upregulated in TNBC tissues compared to non-TNBC tissues(p < 0.05). Silencing of these genes was found to reduce the sensitivity of TNBC cells to dexmedetomidine(p < 0.05). This effect was counteracted when the silenced genes were overexpressed, resulting in an increase in the sensitivity of cells to dexmedetomidine (p < 0.05). Furthermore, a direct interaction between dexmedetomidine and IDO1 and CHRM3 was observed, which regulated the sensitivity of cells to dexmedetomidine(p < 0.05).
Conclusion
IDO1 and CHRM3 are direct targets of dexmedetomidine in TNBC.
High-resolution SIMS U-Th-Pb geochronology of small-size (&lt;5 μm) monazite: Constraints on the timing of Qiuling sediment-hosted gold deposit, South Qinling Orogen, central China
Authors: Chen Lei , Hofstra Albert H. , Li Xian-Hua , Li Qiu-Li , Liu Yu , Ling Xiao-Xiao , Liu Xiao-Yan , Jian Wei 
Published: February 2024

Abstract
Accurately determining the timing of hydrothermal mineralization for sediment-hosted disseminated gold (SHDG) deposits is difficult because of a lack of both suitable chronometers and in situ techniques with the required spatial resolution and precision. The lack of precise age determinations on gold deposits has hindered understanding of their genesis and relation to the geodynamic setting. The Qiuling-Jinlongshan deposit is a typical SHDG deposit located in the eastern South Qinling Orogen (SQO), with 109 t Au at an average grade of 6.17 g/t. Devonian and Carboniferous metasedimentary rocks host structurally controlled gold mineralization, which is associated with silica-carbonate alteration. Pyrite, arsenopyrite, and arsenian pyrite are major gold carriers, and gold also occurs as native gold grains and invisible gold in the sulfides. In this study, the well-defined hydrothermal overgrowth rims (~2 μm) of single monazite grains, associated with disseminated auriferous arsenian pyrite and arsenopyrite in low-grade metasedimentary rocks, yield U-Pb ages of 239 ± 13 Ma (2σ) by high spatial resolution secondary ion mass spectrometry (SIMS). The hydrothermal monazites are cogenetic to the primary gold mineralization where they are closely associated with gold-bearing sulfides. This new age implies that the early to middle Triassic mineralization event in the eastern SQO was related to the Triassic tectonic transition from compression to transpression in the Qinling Orogen after the closure of the Mianlue Ocean. This study highlights the 2-μm high spatial resolution SIMS monazite U-Th-Pb dating method as a powerful tool for determining the timing of SHDG deposits worldwide. It is crucial to examine monazite textures and their link to hydrothermal alteration before carrying out the isotopic dating of monazite.