bluuebunny/crossref_metadata_2025_split huggingface dataset:
Alumina supported highly dispersed platinum-copper nanocatalyst with good dehydrogenation performance for perhydromonobenzyltoluene as a hydrogen carrier
Authors: Ding Qiuyue , Zhang Yixuan , Wei Huijie , Li Qing , Xi Yanyan , Hu Songqing , Lin Xufeng 
Published: October 2024

Abstract

Precious metal catalysts are widely used in the field of heterogeneous catalysis in general and the dehydrogenation process for liquid organic hydrogen carrier (LOHC) in particular. However, their catalytic activity and selectivity are difficult to improve simultaneously due to the characteristics of transition metals. This study developed a Pt2.5Cu0.1/Al2O3-H2 catalyst that can break the negative correlation between catalytic activity and selectivity, improving its common performance and reducing costs. This method achieved highly dispersed nanoparticles (NPs) and co-localization to form the unique PtCux alloy with reduced Pt electron density by anchoring very little Cu doped Pt based alumina catalyst. And it also suppressed strong metal support interaction (SMSI), as confirmed by characterization results such as XPS and HRTEM. These made it exhibit excellent bimetallic synergistic catalytic dehydrogenation activity and selectivity in perhydromonobenzyltoluene (12H-MBT), compared to Pt2.6/Al2O3-H2. The reaction energy barrier of 12H-MBT dehydrogenation was measured to be relative low (~ 94 kJ/mol), and the rate determined step of the whole catalytic dehydrogenation was also identified to be 4H-MBT → MBT.
Erianin suppresses the development of acute myeloid leukemia via PPARɑ and regulating PI3K/AKT signaling pathways
Authors: Deng Ying , Zhong Liang , Zhao Yi , Wan Peng , Zhang Ying , Liao Yang , Zhang Hongyan , Liu Beizhong 
Published: October 2024

Abstract

Acute myelogenous leukemia is a highly invasiveness hematological malignancies that mainly relies on chemotherapy to improve survival rate at present.Up to now,the application of natural products has been widely accepted as an alternative compared with conventional chemotherapeutic agents due to their relative safety.In our research,we attempted to explore the anti-AML capacity and the potential mechanism of Erianin(Eri), a natural component from Chinese herbal medicine Dendrobium flaviflorum.We verified that Erianin inhibited the proliferation of AML cells and induced their apoptosis.Erianin can block cell cycle of AML cells at G2/M phase thourgh regulation of cell cycle-related proteins and P21,P27,P53 mRNA expression.Mechanistically, we firstly filtered and locked PPARɑ and PIK3R1 through network pharmacology analysis, protein-protein interaction (PPI) network, GO and KEGG pathway enrichment analysis, and further confirmed their good binding with Erianin by molecular docking.Specifically,Erianin inhibited the transcriptional level of PIK3R1 by activating the protein level of PPARɑ, thereby inhibiting the PI3K/AKT pathway.The inhibitory ability of Erianin on AML cells was partially neutralized by GW6471,an inhibitor of PPARɑ.It was also worth noting that Erianin revealed vigoroso coordinate repression with LY294002 on AML cells. Overall, these evidences indicated that Erianin exerted an influence on AML cells at least partially through PPARɑ to regulate PI3K/AKT signaling pathways.In summarize, we demonstrated the potent anti-AML effect and the potential mechanisms of Erianin, which suggested a hopeful strategy that Erianin has the capacity to be developed into a novel anti-AML drug.
Effects of THC-rich Cannabis sativa extract on Biochemical Parameters in Obesity
Authors: Costa Ana Beatriz , Fernandes Bruna Barros , Turatti Cristini da Rosa , Souza Thalya Seifer , de Jesus Thais Medeiros , Silva Larissa Espindola da , de Oliveira Mariana Pacheco , Silva Mariella Reinol da , Engel Nicole Alessandra , Salla Daniéle Hendler , Dias Willian Sá , Becker Isabel Borges , Damiani Adriani Paganini , Zanette Larissa Barbosa , Longaretti Luiza Martins , Vilela Thais Ceresér , Leal Renan Konig , Fernandes Millena , Prophiro Josiane Somariva , de Andrade Vanessa Moraes , de Bitencourt Rafael Mariano , Rezin Gislaine Tezza 
Published: October 2024

Abstract

The excessive fat accumulation is the cause of obesity that leads to systemic inflammation, compromising the functioning of the brain. Therefore, it is necessary to investigate new effective therapeutic approaches to control fat accumulation. Due to Cannabis sativa anti-inflammatory properties, the use of this plant may be a promising strategy. The objective of this study was to evaluate the effects of THC-rich Cannabis sativa extract (CSE) on the biochemical parameters of obese mice brain. Forty-eight male Swiss mice were used; they were fed a normal-fat or high-fat diet for 10 weeks. On the eighth week of the study, those mice were paired into 4 groups: control+vehicle, control+CSE, obesity+vehicle, obesity+CSE; they received 1mL/kg/day of CSE or olive oil until the end of the study. Body weight was assessed weekly. At the end of the experiment, the mesenteric fat was removed and weighed, and the brain structures were collected for biochemical analyses. The outcome of our study demonstrated that obesity led to mitochondrial and deoxyribonucleic acid (DNA) damage, and that treatment with CSE demonstrated to be effective in reversing this damage. This outcome showed an increase in complex I activity in the hypothalamus and complex II in the prefrontal cortex, but the CSE reversed the damage caused by obesity. Furthermore, a reversion of DNA damage caused by obesity in the mice cortex was observed. It was concluded that despite the need for additional investigations, CSE can be a promising alternative for the treatment of obesity and its consequences.
A new approach to automatic information extraction from speech for production disturbance management
Authors: Macioł Andrzej , Macioł Piotr , Gumienny Grzegorz , Wrzała Konrad 
Published: October 2024

Abstract

The goal of our research was to formulate an original set of Artificial Intelligence tools to extract knowledge from sources not intended for this purpose. The sources of knowledge in our analysis were records of production meetings, focused on production disturbance (PD) management. We used NLP tools and a procedure for transforming speeches into a knowledge model, both supported by domain ontologies. We found that using commonly available ontologies in such a case is not always possible. The solution we developed consists of an expert-defined specific ontology, based on the pre-processed speeches. At this stage, a lexicon (Vocabulary) is also created, supporting transformation of the processed speeches into interpretable texts. The model ontology formulated this way is then used to analyze consecutively provided meetings’ records and thus update the operational ontology. In our research, we used the materials provided to us in the form of records of production meetings from a medium-sized pressure foundry. Thanks to the developed algorithms, it was possible to identify events related to the individual production cells, their nature, and the basic relationships between the events, the products, and the devices. The obtained results confirm that the adopted knowledge model and the algorithms might be successfully utilized to solve real-world manufacturing problems.
Different Effects of KRAS Gene on Recurrence for Right- and Left-sided Colorectal Liver Metastases Undergoing Radiofrequency Ablation
Authors: Jiang binbin , Wang Jichen , Yan Kun , Zhang Zhongyi , Wang Song , Wu Wei , Yang Wei , Chen Minhua 
Published: October 2024

Abstract

Objective: To investigate the association of KRAS mutations with recurrence in patients with colorectal liver metastases (CLM) undergoing radiofrequency ablation (RFA) according to the primary tumor location.
Methods: CLM patients with a known KRAS gene status who underwent RFA were enrolled from January 1, 2012 to December 31, 2018. Clinicopathological data, recurrence, and survival dates were evaluated retrospectively.
Results: 164 patients (mean age: 58.0+9.8 years, range: 34–83) who underwent percutaneous RFA of 325 CLM (mean sizes: 2.2+1.0 cm, range: 0.7–5.0) were included in the study; Patients (30.7%) in the KRAS mutation group had LTP, which was significantly higher than in patients with KRAS wild-type (14.6%) (p = 0.013). Of the 126 (76.8%) patients with recurrence after RFA, 101 (61.6%) had intrahepatic recurrence, while 88 (53.7%) had extrahepatic recurrence. Among patients with left-sided colorectal cancer (CRC), intrahepatic recurrence rates were higher among patients with KRAS mutation than among patients with the wild type KRAS (77.2% vs 52.5%, p=0.003); the median intrahepatic recurrence-free survival (RFS) was worse in KRAS mutation patients (25 vs 15 months, P=0.007). In patients with right-sided CRC, there was no significant difference in intrahepatic recurrence between the KRAS wild-type and KRAS mutation groups (P＞0.05).
Conclusions: KRAS status is associated with recurrence of CLM after RFA depending on primary tumor location.
Advances in knowledge: KRAS mutation had worse intrahepatic recurrence-free survival after RFA of CLM among patients with left-sided CRC, but was not significantly different in recurrence among patients with right-sided CRC.
Successively Pruned Q-Learning: Using Self Q-function to Reduce the Overestimation
Authors: He Li , Xue Zhaolin , Gan Zhongxue , Zhang Lihua , Dong Zhiyan 
Published: October 2024

Abstract

It’s well-known that the Q-learning algorithm suffers the overestimation owingto using the maximum state-action value as an approximation of the maximumexpected state-action value. Double Q-learning and other algorithms have beenproposed as efficient solutions to alleviate the overestimation. However, theseproposed methods intend to utilize multiple Q-functions to reduce the overes-timation and ignore the information of single Q-function. In this paper, 1) wereinterpret the update process of Q-learning, build a more precise model compat-ible with previous model. 2) We propose a novel and simple method to controlthe maximum bias by employing the information of single Q-function. 3) Ourmethod not only balances between the overestimation and the underestimation,but also attains the minimum bias under proper hyper-parameters. 4) Moreover,it can be naturally generalized to the discrete control domain and continuouscontrol tasks. We reveal that our algorithms outperform Double DQN and otheralgorithms on some representative games. Additionally, classical off-policy actor-critic algorithms also gain benefits from our method.Ultimately, we have extendedour algorithm to multi-agent reinforcement learning algorithms.
Validity and power of the case-only approach in prospective cohort and case- cohort studies with time-to-event endpoints: a simulation study
Authors: Freitag-Wolf Sandra , Akinloye Mercy , Dempfle Astrid 
Published: October 2024

Abstract

Objective
The powerful case-only (CO) approach has been extended for examining statistical interactions for time-to-event outcomes in the context of randomized clinical trials (RCT), but has not yet been investigated in prospective observational data.
Methods
In our simulation study, we explore the CO approach for time-to-event outcomes in scenarios with main effects of different strength and compare its results with classical Cox proportional hazard and logistic regression models.
Results
In the cohort settings it was consistently valid and had a similar power as the benchmark analyses. In contrast, in the case-cohort design, the CO approach was valid and more powerful only in the scenario with just one main effect. However, in the presence of two moderate main effects, estimators may be biased, with a moderately inflated type I error rate. In a real-world example of a cohort study, the CO design represents an efficient approach that can be applied at an early follow-up time.
Conclusion
Under a variety of circumstances, the CO approach is always as powerful, and in some situations even more powerful than the standard models for time-to-event data, but can be biased in the presence of two main effects in the case-cohort framework.
Depositional and diagenetic drivers of a heterogeneous reservoir quality in the Neogene strata of the Red Sea (Egypt)
Authors: Ali Ahmed , Abdelhady Ahmed A. , Mohamed Ramadan S.A. , Fathy Douaa , Hashem Mohamed , Ahmed Mohamed S. , Aboueldahab Sherif M. , Khalil Mahmoud M. , Farag Mohamed H. 
Published: October 2024

Abstract

Petrophysical analyses is the most important, but sophisticated, method for assessing reservoir potential. Herein, we analyzed the Neogene sediments that extend along the Red Sea coast between Wadi Khasheir to Ras Honkorab on South Egypt to evaluate their hydrocarbon potential and to characterize factors behind their evolution. A total of 311 rock samples were collected from 32 measured sections. One hundred and fifty thin sections were made for microfacies analyses. The petrophysical measurements were performed on 185 plug samples representing the different formations. A high porosity was recorded within the conglomerate and greywacke petrofacies of the Miocene Ranga Formation, with an average of 14.5% and have permeability up to 3806 and 3516 mD, respectively. Furthermore, the boundstone microfacies of the Miocene Um Mahara Formation have the highest porosity values with an average of 22.2% and permeability up to 1190 mD. The diagenetic pathways were influenced by the depositional characteristics such as composition in greywacke and feldspathic arenite petrofacies, texture in boundstone microfacies, and the primary porosity as well. The presence of felspars and interparticle pores enhanced the secondary porosity and pore throat size via dissolution. The presence of bitumen as pores-filling material in the Pliocene-Pleistocene sediments reveals their importance as hydrocarbon reservoirs in the subsurface. This tectonic configuration of different sub-basins have controlled the sedimentation and the digenesis processes.
Comparing in vitro protein aggregation modelling using strategies relevant to neuropathologies
Authors: Nadais André , Trigo Diogo , Henriques Ana Gabriela , Silva Odete AB da Cruz e 
Published: October 2024

Abstract

Although protein aggregation is involved in physiological ageing-related processes, it is also remarkably associated with several neuropathologies, including Alzheimer´s (AD) and Parkinson´s disease (PD). The first is characterized by hyperphosphorylated tau protein and Aβ peptide deposition, thus forming intracellular neurofibrillary tangles and extracellular senile plaques, respectively; while, in PD, α-synuclein aggregates and deposits as Lewy bodies. Considerable research has focused on developing protein aggregation models to be explored as research tools. In the present work, four alternative models for studying protein aggregation were explored and compared, namely treatment with: the toxic Aβ peptide, the isoflavone rotenone, the ATP synthase inhibitor oligomycin, and the proteosome inhibitor MG-132. All treatments result in aggregation-relevant events in a human neuronal cell line, but significant model-dependent differences were observed. In terms of promoting aggregate formation, Aβ and MG-132 provoked the greatest effect, but only MG-132 was associated with an increase in the HSP-70 chaperone. In fact, the type of aggregates formed appear to be dependent on the treatment employed, and supports the hypothesis that Aβ exposure is a relevant AD model, and rotenone is in fact a good model for PD. Furthermore, the results revealed that protein phosphorylation is relevant to aggregate formation and as expected, tau co-localized to the deposits formed in the Aβ peptide aggregate induction cell model. In summary, different molecular processes can be induced by using distinct aggregation modelling strategies, and these can be used to study different protein-aggregation related processes associated with distinct neuropathologies.
Conferring Drought Tolerance in Rice Landraces Using Seedling Indices
Authors: B.K. Bibas , Dahal Sneha , Pradhan Nirmala 
Published: October 2024

Abstract

Landraces are a vital source of genetic diversity in crops, offering a rich pool of allelic variation that plant breeders can utilize for developing new cultivars. Although, Nepal has a huge diversity for rice landraces but their actual potentiality hasn’t been sufficiently explored yet. In this study, 25 rice landraces were tested to evaluate the drought tolerance level in completely randomized design (CRD) in 250 ml disposable cup at seedling stage. The rice landraces were tested under 60% FC, 100% FC, and saturated condition for ten quantitative traits. The analysis of variance suggested that there is a significant difference among the landraces for different root and shoot traits as well as in different moisture conditions. Correlation analysis showed that root length has significant positive correlation with shoot length, root: shoot ratio, and fresh root weight under drought condition with 60% FC. Similarly, negative correlation was observed between root: shoot ratio and root number under drought condition. However, germination percentage didn’t show discrimination over any moisture conditions. Principal component analysis showed positive connection of root length and root: shoot ratio towards 60% FC. While strong connection was observed between shoot length, fresh weight, dry weight and root number towards 100% FC and saturated condition. It was found that, Manamurey showed better performance under all studied traits but more insightful result can be obtained by further assessing at vegetative and reproductive stage respectively.
Activated mature B cells undergo enforced Sµ-3'RRrec in the λ-c-MYC mouse model
Authors: Peron Sophie , Guiyedi Kenza , Parquet Milène , Jamal Israa Al , Ouk Catherine , Teteau Ophelie , Vincent-Fabert Christelle , Aoufouchi Said , Roubinet Maxime , Faumont Nathalie , Marchiol Tiffany , Boulin Mélanie , Rizzo David , Chauzeix Jasmine , Feuillard Jean , Gachard Nathalie 
Published: October 2024

Abstract

The Sµ-3'RR recombination (Sµ-3'RRrec) in B cells, a genomic rearrangement occurring within the immunoglobulin heavy chain (IGH) locus is believed to lead to B cell receptor (BCR) loss. Its increased frequency in patients with chronic lymphocytic leukemia (CLL), especially those with high MYC expression, suggests c-MYC contribute to genetic instability during oncogenesis To explore c-MYC's role in enhancing Sµ-3'RRrec, the study used a λ-c-MYC transgenic (Tg) mouse model overexpressing MYC specifically in B cells, along with wild-type (WT) and activation-induced cytidine deaminase knockout (AIDKO) mice. The results show that MYC overexpression leads to a higher proportion of BCR− B cells, which undergo Sµ-3'RRrec. These BCR− B cells are sensitive to apoptosis and represent activated mature B cells that likely originate outside the germinal center (GC). Further analysis demonstrated that Sµ-3'RRrec occurs more frequently in BCR− B cells than BCR+ B cells. These BCR− cells also display a polyclonal IGHV repertoire, indicating their diverse origins. Additionally, we observed changes in the class switch recombination (CSR) junctions in BCR− B cells, hinting at DNA repair differences.
Tricked by Edge Cases: Can Current Approaches Lead to Accurate Prediction of T-Cell Specificity with Machine Learning?
Authors: Orlova Darya , Culka Martin 
Published: October 2024

Abstract

The ability to predict T-cell receptor (TCR) specificity computationally could revolutionize personalized immunotherapies, vaccine development, and the understanding of immunology and autoimmune diseases. While progress depends on obtaining training data that represent the vast range of possible TCR-ligand pairs, systematic assessment of modeling assumptions is equally important and can begin with existing data. We illustrate this by evaluating two ideas currently present in the field: treating TCR specificity and T cell activation as distinct modeling tasks, and using unsupervised models based on sequence similarity for TCR specificity prediction. Although presented as general strategies, we argue these are exceptions rather than universally applicable principles.
Economic Policy Uncertainty, Institutional Quality and Renewable Energy Transitioning in Nigeria
Authors: Iormom Bruce Iortile , Jato Terungwa Paul , Ishola Akinwale , Diyoke Kenneth 
Published: October 2024

Abstract

This study examines the influence of economic policy uncertainty as well as the strength of institutions and sustainable policies on renewable energy adoption in Nigeria. Findings reveal heterogeneous effects of short-term economic uncertainty on renewable energy adoption. However, strong institutions and sustainable policies are revealed to consistently promote renewable energy use across the spectrum, same as economic size. Again, multinational corporations exert limited but positive impact on renewable energy transition.
Kata Kerja Ambitransitif dalam Bahasa Melayu: Suatu Analisis Minimalis
Authors: Ahmad Syafiq Amir Abdullah Zawawi  , Fazal Mohamed Mohamed Sultan  , Azhar Jaludin  
Published: October 2024

This study aims to explore the transitivity of Malay verbs, which has been understudied in previous research that only focused on four categories: transitive, bitransitive, unaccusative and uncausative. The previous studies claimed that each verb can only support one transitivity feature. However, this study aims to fill the gap by providing a syntactic explanation of verbs that have more than one transitivity feature in Malay, namely ambitransitive verb. The study focuses on one lexical item “ada”, which functions as a verb. The data was collected from the Dewan Bahasa dan Pustaka corpus and analysed in two types of sentences, possession sentences in FN-ada-FN structure and existential sentences in FN-ada structure. The results showed that “ada” has a monotransitive characteristic in possession sentences FN-ada-FN, but it has an unaccusative characteristic in existential sentences in FN-ada. This study contributes to the understanding of lexical items with multiple transitivity properties and provides evidence that ambitransitive verbs do exist and are used logically in Malay.
Kajian lepas berkaitan transitiviti kata kerja bahasa Melayu hanya tertumpu kepada empat kategori sahaja, iaitu transitif, dwitransitif, tak akusatif dan tak kausatif. Kajian lepas juga mendakwa setiap kata kerja (KK) hanya boleh mendukung satu ciri transitiviti sahaja. Namun, tiada penjelasan tuntas berkaitan leksikal yang dianggap ambitransitif, iaitu leksikal yang boleh mendukung lebih daripada satu sifat transitiviti. Maka, kajian ini bertujuan mengemukakan penjelasan sintaksis terhadap KK yang memiliki lebih daripada satu ciri transitiviti dari perspektif minimalis. Kajian ini mengehadkan satu leksis sahaja untuk dianalisis, iaitu “ada” yang berfungsi sebagai KK. Data kajian ini pula diperoleh daripada janaan korpus Dewan Bahasa dan Pustaka. Kajian ini menganalisis “ada” yang hadir dalam dua jenis ayat, iaitu ayat milik dalam struktur frasa nama (FN)-ada-FN dan ayat kewujudan dalam struktur FN-ada. Kajian ini mendapati dalam struktur milik FN-ada- FN, “ada” berciri KK monotransitif kerana mensubkategorisasikan satu argumen dalaman, iaitu FN sebagai komplemennya. Namun begitu, hal berbeza diperlihatkan dalam struktur kewujudan FN-ada apabila “ada” memiliki ciri sebagai KK tak akusatif. Kajian ini memberi impak terhadap penemuan leksis yang memiliki lebih daripada satu sifat transitiviti dan membuktikan bahawa KK ambitransitif sememangnya wujud dan digunakan secara nalar dalam bahasa Melayu.