bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical simulation of a metallurgical transformation furnace using residual mixtures of industrial and automotive oils with added maintenance solvents
Authors: Figueroa Martha Angélica Cano , Hugo Arcos Gutiérrez , Isaías Garduño , Raúl Pérez Bustamante , Moreno Juan R. 
Published: October 2024

Abstract

This article presents the exciting results of a numerical analysis of combustion and energy efficiency parameters in an IDR (adjustable direct injection) oscillating furnace, used in a combined metallurgical process and operated with a unique blend of automotive, industrial, and aggregate oils. The simulation process kicks off with the design of the real-world CAD (computer-aided design) environment, the programming in CFD (Computational Fluid Dynamics), and the validation in field-based PAT (Process Analytical Technology) experiments. This methodology was a total game-changer! It allowed us to predict the injection behavior of the mixture, as well as the temperature ranges, wind tunnel effects within combustion, pressures in the working zones, and heat release. We then compared the data with the experimental scenario, which was a great way to measure the efficiency and performance of the mixture, observe the thermal combustion behaviour within the oven, and compare the results with other fuels commonly used in this type of transformation. The experimental results were astounding! The thermal performance was found to be a whopping 73% higher than other fuels and combined cycles. The efficiency improvement was even more impressive, reaching 84.6%. That means the process is not only more efficient, but it's also 54.76% faster than traditional times with fossil fuels. And that's not all! The cost reduction was an incredible 76.43%. It also meant an affectation of 10.5% since these must be adjusted to the requirements of the process terms. The simulated and experimental results show the thermal ranges, fuel efficiency, percentage efficiency of the cycle, implications in the process tasks, costs and impact of migration by fuel type. The deviation between experimental and simulation values of process temperatures on a common fuel is diesel or gas, showed the advantages of using predictive tools in the use of reidual fuels and the importance of the conservation of the aggregates to the mixtures. The CFD analysis together with experimental studies proved to be an effective method to predict the process parameters inside the furnace operating with new energy sources fueled with waste blends.
From Sprouting to Senescence: Phenological Chronicles of Phytolacca acinosa Roxb. in the Himalayan Highlands
Authors: Magray Junaid A. , Wani Bilal A. , Islam Tajamul , Javid Hanan , Ganie Aijaz Hassan , Qadir Rouf Ul , Nawchoo Irshad A. 
Published: October 2024

Abstract

In the era of the Anthropocene, changes in the timing of plant life cycle events serve as prominent biological markers of global environmental shifts. Major of the studies dedicated to documenting and analyzing plant phenological changes are from North America and Europe. Although few studies are available from Himalayan regions, but there is a notable scarcity of comparable studies in the developing world, particularly in regions like the Himalaya. To fill this knowledge gap, the present study aims to attempt the reveal to attempt to unravel the vegetative and reproductive phenology of Phytolacca acinosa across Kashmir Himalaya. For this, we selected and tagged 10 healthy individuals for monitoring and documenting the onset and duration of different phenological events from sprouting to senescence. Further, flowering phenology was recorded using flowering variables such as moment, intensity and duration. Our results reveal that Phytolacca acinosa completes the entire life cycle within a period 7–8 months, and the timing of phenophases varied significantly across the selected sites. Our results also reveal that the plant populations at lower elevations exhibited a clear precedence of vegetative and reproductive phases in their life cycle as compared to those growing at higher elevations. We found that all the phenophases except senescence showed an overlap with the preceding phase. We also found that the flowering variables showed significant variation across the selected sites with the maximum values at low elevations, while minimum values at high elevations. Our study is the first attempt that provides useful insights into the phenology of P. acinosa across different habits along an elevation gradient in Kashmir Himalaya. Phenological adjustments, such as advancing or delaying reproductive phases, are crucial strategies for species to optimize reproductive success. Global climate change, characterized by rapid warming and disruptions, particularly during reproductive periods, has notably impacted species at higher elevations. Understanding phenological attributes is vital in contemporary conservation biology and the phenological data from this study will assist in formulating effective strategies for the restoration and conservation of the target species.
Gli1+ Inflamm-Stem Cells Engage Extracellular Vesicles to Prime Aberrant Neutrophils for Exacerbating Periodontal Immunopathology
Authors: Jin Yan , Cai Xin-Yue , Zheng Chen-Xi , Guo Hao , Fan Si-Yuan , Huang Xiao-Yao , Chen Ji , Liu Jie-Xi , Gao Yu-Ru , Liu An-QI , Liu Jia-Ning , Zhang Xiao-Hui , Ma Chao , Wang Hao , Fu Fei , Peng Peng , Xu Hao-Kun , Sui Bing-Dong , Xuan Kun 
Published: October 2024

Abstract

Periodontitis is a prevalent and progressive detrimental disease which is characterized by chronic inflammation, the immunopathological mechanisms being not yet fully understood. Mesenchymal stem cells (MSCs) play crucial roles as immunoregulators and maintain tissue homeostasis and regeneration, but their in vivo function in immunopathology and periodontal tissue deterioration is still unclear. Here, we utilized multiple transgenic mouse models to specifically mark, ablate and modulate Gli1+ cells, a critical and representative subset of MSCs in the periodontium, to explore their specific role in periodontal immunopathology. We reveal that Gli1+ cells, upon challenging by an inflammatory microenvironment, significantly induce rapid trafficking and aberrant activation of neutrophils thus exacerbating alveolar bone resorption. Mechanistically, extracellular vesicles (EVs) released by Gli1+ cells act as crucial immune regulators in the periodontal tissue, mediating the recruitment and activation of neutrophils through increased generation of reactive oxygen species and trigger of the nuclear factor kappa-B signaling. Importantly, specific inhibition of EV release from Gli1+ cells or pharmacological therapy using GANT61 ameliorates periodontal inflammation and alveolar bone loss. Collectively, our findings identify previously unrecognized roles of Gli1+ cells in orchestrating infiltration and priming aberrant activation of neutrophils under inflammation, which provide pathological insights and potential therapeutic targets for periodontitis.
NCAPH promotes glucose metabolism reprogramming and cell stemness in ovarian cancer cells through the MEK/ERK/PD-L1 pathway
Authors: Qi Yingying , Chen Wei , Wang Aiping , Chen Silin 
Published: October 2024

Abstract

Backgrounds:
Ovarian cancer is a prevalent malignant tumors affecting the female reproductive organs with the characteristic of high heterogeneity. Non-structural maintenance of chromosomes condensin I complex subunit H (NCAPH) has been implicated in a variety of cancers.
Methods
The expression of NCAPH before or after transfection was detected using RT-qPCR and western blot. Cell stemness was assessed with spheroid formation assay. The extracellular acidification rate (ECAR) of ovarian cancer cells was appraised utilizing Seahorse Glycolysis Stress Test Assay while oxygen consumption rate (OCR) was estimated with Seahorse Mito Stress Test Assay. Lactate production and glucose consumption were evaluated with corresponding assay kits. Western blot was adopted to evaluate the contents of stem cell markers, glycolysis- and MEK/ERK/PD-L1 signaling pathway-related proteins. In vivo, the tumor size and weight were measured and KI67 expression in tumor tissues of nude mice was appraised utilizing immunohistochemical staining.
Results
It was found that NCAPH expression was upregulated in ovarian cancer cells. After silencing NCAPH expression, the stemness and glucose metabolism reprogramming were repressed. The MEK/ERK/PD-L1 signaling pathway was inhibited by NCAPH knockdown both in vitro and in vivo. NCAPH depletion was also discovered to suppress tumor growth in mice.
Conclusion
Collectively, NCAPH silence impeded the malignant progression of OC through the MEK/ERK/PD-L1 pathway.
Downstream metabolites of (+)-cis-12-oxo-phytodienoic acid function as noncanonical bioactive jasmonates in Arabidopsis thaliana.
Authors: Ueda Minoru , Saito Rina , Nishizato Yuho , Kitajima Tsumugi , Kato Nobuki 
Published: October 2024

Abstract

(+)-cis-12-oxo-phytodienoic acid (cis-OPDA) is a biosynthetic precursor of the plant hormone (+)-7-iso-jasmonoyl-L-isoleucine (JA-Ile). It functions as an endogenous chemical signal independent of the JA-Ile receptor COI1-JAZ in Arabidopsis thaliana. The bioactive form of cis-OPDA that induces COI1-JAZ-independent gene expression remains unknown.
In this study, we demonstrated that the genuine bioactive forms of cis-OPDA are the downstream metabolites of b-oxidation, which upregulate the expression of the OPDA marker genes such as ZAT10and ERF5 in a COI1- or JA-Ile-independent manner. These downstream metabolites function independently of the JA-Ile-COI1-JAZ-MYCs canonical jasmonate signaling module, and their electrophilic nature is essential for their bioactivity.
Mobility Infrastructure Optimization via Stochastic Relaxation the Traffic Flow Reconstruction
Authors: Bilotta Stefano , Collini Enrico , Fanfani Marco , Nesi Paolo 
Published: October 2024

Abstract

Urban traffic congestion and pollution represent critical challenges for sustainable city development. In this paper, we presents a novel approach to optimizing urban mobility infrastructure using a stochastic relaxation algorithm. The method is designed to address the growing challenges of traffic congestion, fuel consumption, and CO2 emissions in rapidly urbanizing cities. The system automates the generation and evaluation of road network modifications, drastically reducing the time and effort required for traditional simulation-based approaches. By utilizing real-time traffic data and traffic flow reconstruction algorithms within the Snap4City platform, the proposed system allows for the efficient exploration of "what-if" scenarios, optimizing key performance indicators such as travel time, fuel use, and emissions. A case study conducted in Florence, Italy, demonstrates significant improvements in traffic conditions, fuel efficiency, and emissions reduction, underscoring the system's potential to enhance urban mobility in a sustainable manner. This system has been developed exploiting the Snap4City platform Scenario Editor and platform.
Heterogeneity of depression and anxiety among college students and related risk and protective factors: a network model
Authors: Niu Chunjuan , Jiang Yaye , Li Yihui , Wang Xudong , Zhao Huiyuan , Cheng Zhengshu , Li Xiaoran , Zhang Xu , Liu Zhiwei , Yu Xiaoyu , Peng Yan 
Published: October 2024

Abstract

Background
Comorbidity of depression and anxiety is common among adolescents and can lead to adverse outcomes. However, there is limited understanding of the latent characteristics and mechanisms governing these disorders and their interactions. Moreover, few studies have examined the impacts of relevant risk and protective factors.
Methods
This cross-sectional study involved 1,719 students. Mplus 8.0 software was used to conduct latent profile analysis to explore the potential categories of depression and anxiety comorbidities. R4.3.2 software was used to explore the network of core depression and anxiety symptoms, bridge these disorders, and evaluate the effects of risk and protective factors.
Results
Three categories were established: “healthy” (57.8%), “mild depression-mild anxiety” (36.6%), and “moderately severe depression-moderate anxiety” (5.6%). “Depressed mood”, “nervousness”, and "difficulty relaxing" were core symptoms in both the depression-anxiety comorbidity network and the network of risk and protective factors. Stress perception and neuroticism serve as bridging nodes connecting some symptoms of depression and anxiety and are thus considered the most prominent risk factors.
Conclusions
According to the core and bridging symptoms identified in this study, targeted intervention and treatment can be provided to groups with comorbid depression and anxiety, thereby reducing the risk of these comorbidities in adolescents.
Meeting climate target with realistic demand-side policies in the residential sector
Authors: VIVIER Lucas , Mastrucci Alessio , Ruijven Bastiaan van 
Published: October 2024

Abstract

The EU has established an ambitious policy framework for demand-side mitigation in buildings towards net-zero targets. Here, we conduct a comprehensive quantitative assessment of 384 demand-side policy combinations for residential space heating that complement supply-side decarbonization efforts. We show that the implementation of EU Emissions Trading System 2, even when combined with deep decarbonization of energy supply, falls short of climate targets. Beyond ETS 2, we emphasize the need for ambitious subsidies for heat pumps as a critical component of a successful strategy. Conversely, a large-scale generic ‘Renovation Wave’ modestly contributes to decarbonization, is not a cost-effective strategy at the EU level and requires significant increases in public spending. We advocate for the implementation of a carbon tax, paired with substantial subsidies for heat pumps and targeted incentives for home insulation by country and building. This approach supports the decarbonization of the residential sector, limits the strain on the electricity grid, and alleviates energy poverty.
The increased effect of spring leaf unfolding on autumn senescence in the northern and southern hemispheres
Authors: Deng Jianming , Tang Dong , Xie Shubin , Peng Jie , Sun Ying , Degen Abraham Allan , Sun Yuan , Hu Weigang , Dong Longwei , Hou Qingqing , Dong Xiaobing , Zhang Liang , Luo Jiali , Ran Jinzhi , Fu Yongshuo 
Published: October 2024

Abstract

Plant phenology, the timing of periodic events in plant development, is an indicator for detecting climate-vegetation dynamics. Although the importance of vegetation growth carryover (VGC) on phenology was recognized in the Northern Hemisphere (NH), it is unclear how VGC and climatic factors contribute to phenology and how these contributions evolve at a global scale. Utilizing two sets of satellite NDVI data, we explored the impacts of climate change and VGC on start-of-season (SOS) and end-of-season (EOS) plant phenology during the past four decades. Here we show that, globally, advanced SOS resulted primarily from the increasing temperature and radiation, whereas delayed EOS was mainly attributed to the increasing temperature and VGC in SOS (VGCSOS). VGCSOS was the main driver of EOS in the southern hemisphere (SH), whereas it was temperature in the NH. Furthermore, the contribution of VGCSOS to EOS displayed increasing trends over the past four decades in both hemispheres, which was particularly significant in NH. These differences were due primarily to the more evident "warming and drying" trends in the SH than NH, which weaken VGCSOS's impact on vegetation EOS. We conclude that VGCSOS contributes substantially to EOS in both hemispheres, offering insights for accurate predictions of vegetation growth and carbon sequestration under future global warming scenarios.
Exploring Mechanistic Insights and Apoptotic Gene Expression Induced by Myricetin Through In-Vitro and In-Silico Approaches
Authors: Nishad Khushbu , Usha Talambedu , Kumar H.P. Prashanth , Hemavathi K.N. , Joseph Albin , Ramesh N. , Middha Sushil Kumar 
Published: October 2024

Abstract

Myricetin demonstrates considerable potential in the area of anticancer research. It is known to be recognized as a rich natural polyphenolic flavonoid found abundantly in diverse dietary sources. This study investigates the impact of myricetin on cellular processes, including cell death, cell cycle regulation, and the expression of apoptotic genes in MCF-7 breast cancer cells. The cytotoxicity of myricetin was assessed using the MTT assay and cell cycle analysis on MCF-7 cells. Propidium iodide or Annexin V flow cytometric analysis was used to confirm apoptosis. Quantitative real-time PCR was used to measure the gene expression linked to apoptosis in MCF-7 cells following a 24-hour myricetin administration. Molecular docking was employed to probe the binding of myricetin to BCL-2. The cytotoxicity of myricetin revealed an IC50 of 5.06 µg/100 µl at 24 hours. Myricetin induced apoptosis in the Sub G0/G1 phase (10.38%). The findings showed up-regulation of the antiapoptotic gene BCL-2, along with elevated expression of caspase-9 and caspase-7, while the caspase-3 gene exhibited down-regulation. In silico analysis further confirmed the efficient binding of myricetin to BCL-2. The findings suggest that Myricetin exhibits a potent apoptotic effect by inhibiting cell cycle progression, however, further in-vivo investigations are necessary to understand the complexity of this molecule.
NINJ1 regulates plasma membrane fragility under mechanical tension
Authors: Xu Jie , Zhu Yunfeng , Xiao Fang , Wang Yiling , Wang Yufang , Li Jialin , Zhong Dongmei , Huang Zhilei , Yu Miao , Wang Zhirong , Barbara Joshua , Plunkett Christopher , Zeng Mengxue , Song Yiyan , Wang Zhongxing , Cai Changjie , Guan Xiangdong , Hammack Scott , Zhang Liang , Shao Feng , Shi Zheng , Xiang Fu-li 
Published: October 2024

Abstract

Plasma membrane integrity is vital not only for cell survival but also nearly all aspects of cell functioning. Mechanical stress can cause plasma membrane damage, but it is not known whether there are large molecules (proteins) that control plasma membrane integrity. Here we constructed a 384-well cellular stretch system that delivers precise, reproducible mechanical strain to adherent cells. Using the system, we screened 10,843 siRNAs targeting 2,726 multi-pass transmembrane proteins for stretch-induced membrane permeability changes. The screen identified NINJ1, a protein recently proposed to regulate pyroptosis and other lytic cell death, as the top hit. We demonstrate that NINJ1 is a critical regulator for mechanical force-induced plasma membrane rupture (PMR), without the need of stimulating any cell death programs. Low NINJ1 expression renders the membrane more resistant to stretching, while high expression of NINJ1 lowers the threshold of PMR under mechanical strain. NINJ1 level on the plasma membrane is inversely correlated to tension required to rupture the membrane. In the pyroptosis context, NINJ1 on its own is not sufficient to fully rupture the membrane, and additional mechanical stress is required for full PMR. Our work establishes that NINJ1 functions as a bona fide determinant of membrane biomechanical properties. Our study also suggests that PMR across tissues of distinct mechanical environments is subjected to fine tuning by differences in NINJ1 expression and external mechanical forces.
Unsupervised Multi-Source Domain Adaptation Person Re-Identification Methods Based on Transformer and Graph Convolutional Neural Network
Authors: Li Hao , Jia Minghui , Yu Jiexiao , Zhao Xin , Zhang Tao 
Published: October 2024

Abstract

The Person Re-Identification expects to retrieve the unique pedestrians across multiple non-overlapping cameras. Mainstream unsupervised person Re-Identification methods generate pseudo-labels by clustering in single-source and single-target domain scenarios. Although convolution neural network (CNN)-based methods have achieved promising progress, existing methods loss some feature information during convolution and downsampling operators. Moreover, due to the dramatic disparities between different source datasets, the model trained on the multi-source domain directly will lead to poor performance. To overcome these limitations, we propose a unsupervised multi-source domain adaptation person Re-Identification method based on transformer and graph convolutional neural network. Firstly, we introduce a pure transformer framework for Re-ID task to improve the model's feature representation capability. Secondly, we suggest using domain information fusion module based on graph convolutional neural network to minimize the gap among the source domains, and employ a feature enhancer based on Gaussian distribution to reduce domain-specific characteristics and increase the distinctiveness of person features. Finally, extensive experiments on four benchmark datasets show that the proposed method outperforms most of the current unsupervised domain adaptation person Re-Identification methods.
WITHDRAWN: Relationship Between Glycemic Control, Psychological Health, and Lower Extremity Functional Impairments in Post-stroke Diabetic Patients
Authors: Rauf Tooba , Shabbir Fatima , Tariq Aatika , Eman Kanzul , Jahan Saira , Ghous Misbah 
Published: October 2024

Abstract

Background
Understanding the interplay of the psychological and physical challenges faced by post-stroke diabetic patients is essential for developing comprehensive treatment strategies to improve their overall well-being and quality of life. Limited studies examine the association between the variables hence, our study aims to determine the relationship between glycemic control, psychological health, and lower extremity functional impairments in post-stroke diabetic patients.
Methods
A correlational study was conducted involving 214 post-stroke diabetic participants including both genders aged 50 years and above, recruited in the rehabilitation department of hospitals in the twin cities of Islamabad and Rawalpindi. The data collected from the patients included glycemic control (HbA1c, BSR, and BSF), psychological health assessment using DASS-21, and lower extremity functionality assessment using FMA-LE. Correlation and multiple regression were performed between the variables using IBM Statistics SPSS v 25.0.
Results
Out of 214 participants, the frequency of males was n = 119 (55.6%), and females was n = 95 (44.5%). The mean HbA1c calculated was 10.88 ± 1.37 mmol/mol. A positive and significant (p < 0.05) correlation between glycemic control and psychological health was depicted except for BSR with stress. Similarly, a negative and significant (p < 0.05) correlation was found between glycemic control and lower extremity functionality except for BSF with sensation. The correlation between glycemic control and lower extremity functionality showed a negative and significant (p < 0.05) relationship except for anxiety with sensation and passive joint motion, and stress with motor function. Additionally, a strong association was observed between glycemic control with anxiety, stress, and sensation, and between depression and lower extremity.
Conclusion
This study reveals a complex interaction between glycemic control, lower extremity functionality, and psychological health. Findings indicate that poor glycemic control is associated with increased psychological distress and impaired lower extremity function. Lower extremity impairments can eventually lead to poor psychological health in post-stroke diabetic patients.