bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient Maximum Power Point Tracking Algorithm for Photovoltaic Systems under Partial Shading Conditions: Hybrid FSSO-HHO Approach with Hardware-in-Loop Validation
Authors: Senapati Manoj Kumar , Senapati Mrutyunjay , Panigrahi Pratap 
Published: June 2023

Abstract
Solar energy has attended an extensive acceptance for its ability to generate electricity and eco-friendly nature, which is beneficial to the environment and prevents harmful effects due to the use of fossil fuels. Power generation from solar resources is definitely a boon, but it is liable to its availability and variation due to changing factors such as irradiation, temperature, shading conditions, etc. The economic feasibility of this system is also dependent on its operating conditions. Maximum Power Point Tracking (MPPT) has been used in different ways to lessen the effect of atmospheric changes. Partial shading conditions (PSC) are one of the major causes of the MPP change in photovoltaic systems. There are utmost algorithms suggested to track the global peak, but due to certain factors, they are unable to track it successfully under PSCs. This conventional MPPT control technique has some crucial routine drawbacks, such as high tracking, settling times and oscillations at global maxima (GM) under PSC. This paper proposes a metaheuristic optimisation algorithm utilising hybrid FSSO (Flying Squirrel Search Optimisation) with HHO (Harris Hawks Optimizer) MPPT technique methods under different PSCs to ensure regulated, efficient power delivery, less complexity, cost effectiveness, easy hardware implementation, high accuracy, and almost zero oscillation near GM. The proposed algorithm is tested using Hard-ware-in-loop (HIL) setup. The proposed algorithm gives 99.99% tracking efficiency for all four partial shading conditions. The efficacy of the proposed algorithm is overall superior compared to other methods in terms of statistical analysis and tracking time.
Association of Dietary Inflammatory Index with Inflammatory Markers like C-Reactive Protein and Interleukin-6 in Women with and without Polycystic Ovarian Syndrome: A Comparative Case-Control Study
Authors: Azarbayjani Khadijeh , Sadatmahalleh Shahideh jahanian , Mottaghi Azadeh , Nasiri Maliheh 
Published: June 2023

Abstract
Background: Considering that interventions related to lifestyle, especially nutrition have been proposed as the first line of prevention and treatment of Polycystic Ovarian Syndrome (PCOS), and regarding the proven relationship between PCOS and inflammation, the present study was designed to find out the possible association of Diet Inflammatory Index (DII) with the inflammatory markers like C-reactive protein (CRP) and Interleukin-6, and compare the obtained results in women with and without PCOS.
Method: This case-control study was conducted on 45 PCOS women and 40 non-PCOS women. Food intake and DII were measured using a 147-item food frequency questionnaire. All participants were tested for the serum levels of Interleukin-6 and CRP. Finally, the obtained results were compared between the two groups of PCOS and non-PCOS women.
Results: Significant differences were observed between the two groups in terms of age, menstrual status and number of pregnancies (P<0.05). Comparison of DII value showed no significant difference between the two groups (P=0.68), but Interleukin-6 was significantly higher in the PCOS group than in the control group (4.94±1.97 vs. 3.48±1.77, P<0.001). Also in terms of CRP, no significant difference was observed between the two groups (P>0.05).
Conclusions: Although the difference of DII between the case and control groups and its association with PCOS was not significant in the current study, it seems that diet, especially consumption of more carbohydrates plays a role in causing chronic inflammation and occurrence and exacerbation of PCOS.
Job adjustment predictive factors of healthcare midwives in health system reform in Iran
Authors: moradali monireh rezaee , Hajian Sepideh , Majd Hamid Alavi , Rahbar Mohammadreza , Entezarmahdi Rasool 
Published: June 2023

Abstract
Background
Having sensitive duties and multiple responsibilities in the country's health system, especially after the implementation of the health reform in Iran, midwives need to be able to perform their duties optimally in their new job position as healthcare providers. However, it is not clear to what extent the midwives have adjusted to their new roles and related duties since the implementation of this plan in the country. The aim of the present study was to determine the predictive factors of job adjustment of healthcare midwives in Iran.
Methods
In this cross-sectional analytical study, 310 midwives were selected from 209 health centers of West Azarbaijan province in Iran and entered the study by census method to answer the research questionnaires. Data were collected using job adjustment, job satisfaction and organizational commitment scales. For data analysis, SPSS software version 25 was used to calculate coefficients of ANOVA and multiple linear regression tests. Moreover, to determine predictive variables, path analysis was used by AMOS software.
Results
The mean age of the participants was 37.67 ± 7.1 years. Most of the participants (35.5%) were interested in their occupation as a midwife, and mostly had a medium to high tendency (76.1%) to stay in their new profession. Additionally, 58.1% of the participants had moderate job adjustment. "Desire to stay in the midwifery profession" and "organizational commitment" were important predictors of job adjustment for healthcare midwives. “Desire to stay in the midwifery profession”, with a direct effect, and “interest in the new profession” with an indirect effect affected the job adjustment of midwives. Moreover, “adequacy of income to expenses”, “job satisfaction” and “organizational commitment” through the mediating role of the “desire to stay in the profession” can directly and indirectly affect their job adjustment.
Conclusion
Based on the results of this study, in order to make midwives more adjusted to their role as healthcare provider midwife, organizational managers should focus their efforts and planning mainly on providing incentives to increase the longevity of staying in the profession of midwifery in order to increase job adjustment, job satisfaction and organizational commitment, thereby, improving the quality-of-service delivery.
Extended Nucleic Acid (exNA): A Novel, Biologically Compatible Backbone that Significantly Enhances Oligonucleotide Efficacy in vivo
Authors: Hariharan Vignesh Narayan , Caiazzi Jillian , Miller Rachael , Ferguson Chantal , Sapp Ellen , Fakih Hassan , Tang Qi , Yamada Nozomi , Furgal Raymond , Paquette Joseph , Bramato Brianna , McHugh Nicholas , Summers Ashley , Lochmann Clemens , Godinho Bruno , Hildebrand Samuel , Echeverria Dimas , Hassler Matthew , Alterman Julia , DiFiglia Marian , Aronin Neil , Khvorova Anastasia , Yamada Ken 
Published: June 2023

Abstract

Metabolic stabilization of therapeutic oligonucleotides requires both sugar and backbone modifications, where phosphorothioate (PS) is the only backbone chemistry used in the clinic. Here, we describe the discovery, synthesis, and characterization of a novel biologically compatible backbone, extended nucleic acid (exNA). Upon exNA precursor scale up, exNA incorporation is fully compatible with common nucleic acid synthetic protocols. The novel backbone is orthogonal to PS and shows profound stabilization against 3'- and 5'-exonucleases. Using small interfering RNAs (siRNAs) as an example, we show exNA is tolerated at most nucleotide positions and profoundly improves in vivo efficacy. A combined exNA-PS backbone enhances siRNA resistance to serum 3'-exonuclease by ~ 32-fold over PS backbone and > 1000-fold over the natural phosphodiester backbone, thereby enhancing tissue exposure (~ 6-fold), tissues accumulation (4- to 20-fold), and potency both systemically and in brain. The improved potency and durability imparted by exNA opens more tissues and indications to oligonucleotide-driven therapeutic interventions.
The experience of nutrition impact symptoms during chemotherapy for lung cancer patients : A qualitative study
Authors: Zhu Pingting , Ding Yinwen , Shi Guanghui , Wang Wen , Xu Huiwen , Qian Meiyan , Gu Xinyue , Zhang Hui 
Published: June 2023

Abstract
Purpose This study comprehend the perspective of lung cancer patients who encounter nutrition impact symptoms during chemotherapy and investigate how these symptoms manifest in lung cancer patients and the physical and psychological impacts they have.Method Semi-structured interviews with 31 lung cancer patients from a hospital in Jiangsu Province, China, were conducted using a phenomenological technique. The interviews were taped, verbatim and sentence-for-sentence, and then subjected to Colaizzi's seven-step analysis procedure.Results The data analysis produced the following two major themes: "nutrition impact symptoms" and "the psychosocial effects of nutrition impact symptoms." Patients with lung cancer who underwent chemotherapy frequently experienced mouth ulcers, xerostomia, and lack of appetite. "Lose the pleasure of eating," "persistent depression," "feeling of helplessness," and "social restriction" are among the sub-themes under the second major theme.Conclusion This study emphasizes the negative impacts of nutrition on the physical and mental aspects of lung cancer patients' chemo-induced symptoms. Lung cancer patients continue to encounter physical discomfort, unfavorable mood swings, and even social limitations throughout chemotherapy as a result of nutrition-related illnesses. Patients with lung cancer may experience long-lasting nutrition impact symptoms during the early stages of chemotherapy, which can have a significant impact on quality of life and the outcome of the subsequent course of treatment.
A mixed strategy improved dung beetle optimization algorithm and its application
Authors: Chang Zhanyou , Luo Jun , Zhang Yifan , Teng Zhaobo 
Published: June 2023

Abstract
A mixed strategy improved dung beetle optimization (MSDBO) algorithm is proposed to address the problems of slow convergence speed, easy falling into local optimum, and insufficient search accuracy of the dung beetle optimization algorithm. Firstly, the good point set strategy is introduced to initialize the population and improve the population diversity. Then, the spiral search strategy is combined with the whale optimization algorithm to improve the location update of dung beetle reproduction and foraging behavior, balancing the local exploitation and global search ability of the algorithm, and improving the convergence ability of the algorithm. Finally, the Levy flight strategy is used to improve the location update of dung beetle stealing behavior and improve the algorithm's ability to jump out of the local the ability of the algorithm to jump out of local optimality. The results, tested with 12 benchmark functions and validated using the Wilcoxon rank sum test, show that the improved algorithm has significant advantages in terms of convergence speed, stability, and solution accuracy. In addition, we also applied the MSDBO algorithm to a two-dimensional maximum entropy image segmentation task, and the experimental results show that the MSDBO algorithm has good performance in image segmentation.
Vaccarin suppresses renal fibrosis in diabetic nephropathy through inhibiting EGFR signaling pathway
Authors: Zhu Xuexue , Du Xinyao , Ma Xinyu , Meng Xinyu , Zhao Chenyang , Li Taiyue , Yu Xiaoyi , Zhu Xuerui , Wen Yuanyuan , Zhang Shijie , Hou Bao , Cai Weiwei , Xu Fei , Qiu Liying 
Published: June 2023

Abstract
Diabetic nephropathy (DN), one of the common chronic complications of diabetes, is the leading cause of end-stage renal disease. Vaccarin, a highly active Chinese medicinal monomer isolated from vaccariae semen, confers protective effects against type 2 diabetes mellitus (T2DM). However, the effects of vaccarin on kidney injury in diabetic nephropathy remain unknown. Our study showed that vaccarin ameliorated renal dysfunction and histological damage in diabetic kidneys through inhibiting renal fibrosis, overproduction of inflammation cytokine and reactive oxygen species (ROS). Additionally, vaccarin treatment significantly suppressed the process of epithelial-to-mesenchymal transition (EMT) in high glucose (HG)-induced HK-2 cells. In the mechanism, the network pharmacology analysis and molecular docking revealed that epidermal growth factor receptor (EGFR) may be the potential target of vaccarin. Furthermore, the phosphorylation of EGFR as well as EKR1/2 were abrogated by vaccarin in diabetic nephropathy and HG-treated HK-2 cells. In conclusion, our results reveal that vaccarin attenuates diabetic renal fibrosis via inactivation of EGFR signaling. Vaccarin might be a potential drug to alleviate diabetic nephropathy.
No consistency in the mechanism of assembly and potential effects on the host of various dimensions of Eucommia ulmoides rhizosphere microbiota
Authors: Dong Chunbo , Shao Qiuyu , Ran Qingsong , Li Xu , Han Yanfeng 
Published: June 2023

AbstractBackground and AimsRhizosphere microbiota is regarded as the second genome of plants and can promote plant growth, development and metabolism. However, little is known about the dominant microbial genera, diversity, and mechanisms of assembly of co-occurrence networks of the plant rhizosphere microbiota and their effects on host secondary metabolites.Methods: Using 33Eucommia ulmoidesrhizosphere soil samples from 11 regions of China, the dominant microbial genera, α-diversity, and co-occurrence networks of the rhizosphere microbiota were determined. Their responses to environmental factors (soil and climatic variables) and effects on the host secondary metabolites (assessed by LC-QTOF MS/MS) were then analyzed.Results: The dominant fungal genus and bacterial genus in theE. ulmoidesrhizosphere microbiota wereEremothecium(relative abundance, 50.54%) andSphingomonas(8.33%), respectively. The dominant microbial genera, α-diversity, and co-occurrence network properties significantly differed by region. The three dimensions of the rhizosphere microbiota (dominant microbial genera, α-diversity, and co-occurrence networks) clearly responded inconsistently to environmental factors, with total and available nitrogen having key effects on dominant microbial genera, total nitrogen and rainfall having key effects on α-diversity, and soil organic matter and temperature having key effects on co-occurrence network properties. There were also inconsistent effects on secondary metabolites, with the co-occurrence network properties being significantly correlated with pinoresinol diglucoside, and dominant bacteria genera (Bradyrhizobium,Streptomyces,Burkholderia, andMortierella) being significantly correlated with aucubin.Conclusion: This study provides a new theoretical basis regarding the mechanisms underlying rhizosphere microbiota assembly, and the microbiota effects on host secondary metabolites.
Altruistic behavior and International Environmental Agreements: A Differential Game Approach
Authors: Sacco Armando 
Published: June 2023

Abstract

In the last three decades International Environmental Agreements (IEAs) has been widely analyzed. Classical models predict that only coalitions formed by few countries can be stable, generating a rich literature devoted to solve the small coalition puzzle. The fundamental idea behind the great part of the literature is that players are selfish: to achieve a large stable coalition it is necessary to design an agreement that includes a credible system of incentives or punishments.
The aim of this model is to study the effects, on equilibrium strategies and on the stability of an IEA, of players that do not look at their on interests only, but they take care of the wellness of the other players in coalition. Following the approach of the Paris Agreement in 2015, countries that join the coalition do not decide the emission collectively, but each of them sets its own emission. The model is the usual two-step game: first the players have to choose whether they want to join the coalition or not, in the second step they solve a Nash differential game to find the optimal emissions. The stability of the coalition is studied in two cases: i) with the classic internal and external stability, ii) defining an altruistic stability condition.
Plasma p-tau231 increases at one-year intervals in cognitively unimpaired subjects
Authors: Martínez-Dubarbie Francisco , López-García Sara , Lage-Martínez Carmen , Molfetta Guglielmo Di , Fernández-Matarrubia Marta , Pozueta-Cantudo Ana , García-Martínez María , Corrales-Pardo Andrea , Bravo María , Jiménez-Bonilla Julio , Quirce Remedios , de Lucas Enrique Marco , Drake-Pérez Marta , López-Hoyos Marcos , Irure-Ventura Juan , Blennow Kag , J.Ashton Nicholas , Zetterberg Henrik , Rodríguez-Rodríguez Eloy , Sánchez-Juan Pascual 
Published: June 2023

Abstract
BACKGROUND: Plasma biomarkers indicative of Alzheimer's disease pathology constitute a non-invasive tool for diagnosing and classifying the disease. They are altered even in preclinical stages. Nonetheless, it is necessary to better understand their properties so they can be helpful in a clinical context.
METHODS: We have evaluated plasma phosphorylated (p)-tau231 in a group of 146 cognitively unimpaired subjects in sequential visits and correlated their levels with different phenotypic traits. ATN status was defined based on CSF biomarkers.
RESULTS: P-tau231 levels increase sequentially at intervals close to one year. This increase occurs even in A-T-N- subjects. Basal levels of p-tau231 correlate negatively with memory tests only in subjects with a sufficient amyloid load.
CONCLUSIONS: P-tau231 is a sensitive marker for detecting early signs of neuronal network impairment by amyloid. Longer-term studies are needed to characterize better p-tau231 evolution and its relationship with the different phases of the disease.
Anillin(ANLN) promoting melanoma malignant progression via miR-200b-3p/ANLN/CDK1/p53 signaling axis
Authors: Zhao Jinglin , Yun Fang , Zhang Ruopan , Wu Liuli , Yang Jinghong , Wei Yan , Jia Xiongfei , Mao Xiaoqin 
Published: June 2023

Abstract
Background
Melanoma is a highly malignant tumor originating from melanocytes, characterized by its aggressive invasion, metastasis, and poor prognosis. Anillin (ANLN), a multi-domain protein, plays a crucial role in cell division. Evidence suggests that abnormal ANLN expression leads to irregular cell division, promoting tumor proliferation, migration, and invasion. However, its role in melanoma remains unexplored.
Methods
Bioinformatics, quantitative PCR, and Western blot were employed to detect ANLN mRNA and protein expression levels in both normal and cancer cells. The dual-luciferase reporter assay was utilized to identify the interaction between ANLN and the upstream target microRNA. The invasion and metastasis of A875 and SK-MEL-28 cells were examined using Transwell assays. Flow cytometry was employed to analyze cell cycle and apoptosis. The role of ANLN in the initiation and development of melanoma was further assessed in a mouse model.
Results
ANLN was highly expressed in melanoma samples and cells. Biofunctional assays confirmed that ANLN promoted the proliferation, invasion, and metastasis of melanoma cells in vitro in nude mice. The dual-luciferase report revealed that the upstream target microRNA of ANLN, miR-200b-3p, negatively regulated ANLN expression and influenced the malignant progression of melanoma. Protein-protein interaction analysis suggested that ANLN might positively regulate CDK1 expression and impact the P53 signaling pathway, modulating melanoma proliferation, migration, and invasion.
Conclusion
ANLN is associated with the malignant progression of melanoma and regulates the melanoma cell cycle through the miR-200b-3p/ANLN/CDK1 axis. This interaction further influences the P53 signaling pathway, promoting melanoma development and progression.
Synthesis and Biological Studies of Cationic Organoiron Star-Shaped Dendrimers Attached with Ketoprofen and Mefenamic Acid at the Peripheries
Authors: Gauthier Marcus J. , Rasouli Rahimeh , Abd-El-Aziz Alaa S. , Ahmed Marya , Abdelghani Amani A. 
Published: June 2023

Abstract
The design of new star-shaped dendrimers with ketoprofen and mefenamic acid at the periphery was achieved using the divergent method. The use of cationic cyclopentadienyliron moieties coupled with the introduction of ketoprofen and mefenamic acid to the dendrimer allowed to produce dendrimeric materials that possess antimicrobial and anti-inflammatory activities. The dendrimers' compositions were analyzed through FT-IR, 1H-NMR, and 13C-NMR spectroscopic techniques. Furthermore, all synthesized dendrimers exhibited exceptional thermal stability within the 300 – 350oC range, with the cationic iron moieties breaking down at around 200oC. The surface morphology of the dendrimers was examined using Scanning Electron Micrographs (SEM) with no significant change between the three generations in the morphology. In addition, the electrochemical properties were also analyzed by Cyclic voltammetry (CV). The redox wave intensity and broadness showed changes as the dendrimer generation increased. These dendrimers were tested for their in vitro toxicities in mammalian cell lines, antimicrobial and anti-inflammatory activities and displayed positive results.
WITHDRAWN: Associations of cognitive decline, peripheral inflammatory factors and hippocampal subregions volume in knee osteoarthritis - a longitudinal MRI study
Authors: Wang Yajun , Cai Guiyan , Li Ming , Chen Ruilin , Zeng Peiling , Zhao Baoru , Tao Jing , Liu Jiao 
Published: June 2023

Abstract
Knee osteoarthritis (KOA) patients often suffer from cognitive decline. This study aims to investigate the relationship between cognitive decline, hippocampal subregions, and serum inflammatory cytokines levels in KOA. Their correlation and mediating effects were analyzed. Cognitive function declined at follow-up, and the decline was more pronounced in the AD8>1 group. The fimbria volume decreased in the AD8>1 group, while increased in the AD8≤1 group. The fimbria volume was correlated with cognitive performance in both group. Brain-derived neurotrophic factor (BDNF) levels were negatively correlated with the Montreal Cognitive Assessment_Language (MoCA_Language) subscore change in the AD8≤1 group and Recombinant Cannabinoid Receptor 2 (CNR2) levels were negatively correlated with the Wechsler Memory Scale – Chinese Revision_1-100 (WMS-CR_1-100) subscore change in the AD8>1 group. In addition, the serum Interferon-gamma (IFN-γ) level was a protective factor against cognitive decline and the fimbria volume played a mediating role between pain, T cell immunoglobulin domain and mucin domain 3 (TIM3) /IFN-γ levels, and the WMS-CR_1-100 subscore. Our results suggested that the fimbria was an important mediator of cognitive decline in KOA, and CNR1, CNR2, and BDNF were strongly associated with cognitive decline while IFN-γ levels may be a protective factor against cognitive progression in KOA.
Clinical trial registration number: ChiCTR-IOR-16009308
The Impact of Pillar Two Rules on China's Tax Incentive Policies
Authors: Li Ziyang 
Published: June 2023

Abstract
Considering the rapid aggravation of tax base erosion and profit shifting, the Organization for Economic Cooperation and Development (OECD) provided specific guidelines regarding the design of key elements of Pillar Two rules in 2021, which means a new competition pattern of international tax among countries may be forming. This paper analysis the above taxation rules, especially focus on Qualified Domestic Minimum Top-up tax rule and Substance-based Income Exclusion rule, and analysis the further path of domestic tax incentives in China.