bluuebunny/crossref_metadata_2025_split huggingface dataset:
Senescence, brain inflammation, and oligomeric tau drive cognitive decline in Alzheimer's disease: Evidence from clinical and preclinical studies
Authors: Gaikwad Sagar , Senapati Sudipta , Haque Md. Anzarul , Kayed Rakez 
Published: October 2023

AbstractAging, tau pathology, and chronic inflammation in the brain play crucial roles in synaptic loss, neurodegeneration, and cognitive decline in tauopathies, including Alzheimer's disease. Senescent cells accumulate in the aging brain, accelerate the aging process, and promote tauopathy progression through their abnormal inflammatory secretome known as the senescence‐associated secretory phenotype (SASP). Tau oligomers (TauO)—the most neurotoxic tau species—are known to induce senescence and the SASP, which subsequently promote neuropathology, inflammation, oxidative stress, synaptic dysfunction, neuronal death, and cognitive dysfunction. TauO, brain inflammation, and senescence are associated with heterogeneity in tauopathy progression and cognitive decline. However, the underlying mechanisms driving the disease heterogeneity remain largely unknown, impeding the development of therapies for tauopathies. Based on clinical and preclinical evidence, this review highlights the critical role of TauO and senescence in neurodegeneration. We discuss key knowledge gaps and potential strategies for targeting senescence and TauO to treat tauopathies.Highlights
Senescence, oligomeric Tau (TauO), and brain inflammation accelerate the aging process and promote the progression of tauopathies, including Alzheimer's disease.
We discuss their role in contributing to heterogeneity in tauopathy and cognitive decline.
We highlight strategies to target senescence and TauO to treat tauopathies while addressing key knowledge gaps.
Hydrophobic natural deep eutectic solvents for marine lipid extraction
Authors: Topal Taylan , Card Asli , Mackenzie Andrew D. , Lagutin Kirill , Marshall Susan N. , Cumming Adam H. , Killeen Daniel P. 
Published: October 2023

Abstract‘Type V' natural deep eutectic solvents (TV NADES) are a novel class of solvent media with many potential ‘green chemistry’ applications. Here, we assess the potential of two TV NADES: menthol:carvacrol (M:C) and menthol:thymol (M:T), and a single terpenoid extraction media carvacrol (C), as media from total lipid extraction of three compositionally diverse, freeze‐dried marine tissues: hoki (Macruronus novaezelandaiae), jack mackerel (Trachurus declivis) and green‐lipped mussel (kuku, Perna canaliculus). Room temperature extraction yields into these media were benchmarked relative to lipid yields from chloroform‐methanol‐water extractions. Relative extraction yields using the M:C and M:T media were (both) 87% for jack mackerel, 85%–87% for hoki, and 43%–47% for green‐lipped mussels. Comprehensive chemical analyses of TV NADES lipid extracts suggested that neutral lipids were extracted in greater yield than phospholipids, and that phosphatidylinositol, lysophospholipids and (in the case of mussels) ceramideaminoethylphosphonates were particularly resistant to extraction into C, M:C and M:T. C—a thymol isomer that, unlike menthol and thymol is a liquid at room temperature—appeared to perform (marginally) better than M:C and M:T systems, implying there may be no advantage to using the TV NADES over a single terpenoid with similar chemistry for total lipid extraction.
Process simulation and economic assessments for biodiesel production catalyzed by green Nanocatalysts
Authors: Qian Liow Ke , Huey Sim Jia 
Published: October 2023

AbstractThe biodiesel production catalyzed by naturally derived catalysts such as calcium oxide (CaO) and sulfonated carbon catalysts achieved high biodiesel yield at moderate operating conditions. However, very few studies were conducted to evaluate the economic feasibility of industrial‐scale production of biodiesel catalyzed by both green catalysts of CaO and sulfonated carbon catalysts. The current study aims to assess the technical competency and economic feasibility of industrial‐scale production of biodiesel catalyzed by two processes 1.) CaO catalyst and 2.) sulfonated carbon catalyst. Process simulations via Aspen Hysys were carried out to perform material and energy balances for both process configurations designed earlier with respect to the base catalyst (CaO) and acid catalyst (sulfonated carbon) used. Economic analysis was initiated after the equipment sizing and costing had been carried out. Total capital investment, total manufacturing cost, and key performances of the rate of return, payback time, breakeven point, and net profit after‐tax rate were calculated for each process. Based on the economic analysis, the computed return on investment (ROI) is 105.36%, and it has a low payback period of 0.94 year to offset its original investment. The discounted cumulative profit (NPV) analysis shows that breakeven was achieved in the 3rd year. On the other hand, for the plant that utilizes sulfonated carbon in the transesterification reaction, the computed ROI is 14.02% with a payback period of 7.13 years, and the breakeven was achieved in the 9th year. In conclusion, the manufacturing plant of transesterification reaction catalyzed by CaO catalyst appeared as the most promising pathway either technically or economically.
Highly Efficient Spin Transport in a Paramagnetic Insulator at Room Temperature
Authors: Zhu Zhaozhao , Bai He , Li Zhuolin , Gao Yang , Ke Jintao , Li Guansong , Bi Linzhu , Zhu Tao , Cai Jian‐Wang , Zhang Ying 
Published: October 2023

AbstractThe exploration of new materials exhibiting excellent spin transport properties, particularly those capable of efficiently transmitting pure spin currents at room temperature, is a crucial aspect of spintronics. This work reports the observation of room‐temperature spin transport in a paramagnetic insulator Gd3Ga5O12 (GGG). By measuring the longitudinal spin Seebeck voltage, spin Hall magnetoresistance, and anomalous Hall resistance in a Y3Fe5O12 (YIG)/GGG/Pt heterostructure at room temperature, the spin current is found to propagate in GGG up to a distance of 7 nm through the paramagnons, which are the collective excitations of the local spin within the paramagnet. Remarkably, this spin propagation phenomenon occurs at a small magnetic field and irrespective of whether the spin current injected into GGG is thermally induced from YIG or electrically generated through the spin Hall effect of Pt. Moreover, the inclusion of a thin GGG spacer layer increases the thermal spin current from YIG to Pt by 31%. Calculations based on the diffusive magnon transport model indicate high spin conductance at the GGG/Pt interface. These findings highlight the potential of a wide range of paramagnetic materials in facilitating spin transport and advancing the development of spintronic devices.
Fusion proteins development strategies and their role as cancer therapeutic agents
Authors: Aslam Shakira , Zulfiqar Faisal , Hameed Warda , Qureshi Shahnila , Zaroon  , Bashir Hamid 
Published: October 2023

AbstractCancer continues to be leading cause of morbidity and mortality despite decades of research and advancement in chemotherapy. Most tumors can be reduced via standard oncology treatments, such as chemotherapy, radiotherapy, and surgical resection, and they frequently recur. Significant progress has been made since targeted cancer therapy inception in creation of medications that exhibit improved tumor‐selective action. Particularly in preclinical and clinical investigations, fusion proteins have shown strong activity and improved treatment outcomes for a number of human cancers. Synergistically combining many proteins into one complex allows the creation of synthetic fusion proteins with enhanced characteristics or new capabilities. Signal transduction pathways are important for onset, development, and spread of cancer. As result, signaling molecules are desirable targets for cancer therapies, and significant effort has been made into developing fusion proteins that would act as inhibitors of these pathways. A wide range of biotechnological and medicinal applications are made possible by fusion of protein domains that improves bioactivities or creates new functional combinations. Such proteins may function as immune effectors cell recruiters to tumors or as decoy receptors for various ligands. In this review article, we have outlined the standard methods for creating fusion proteins and covered the applications of fusion proteins in treatment of cancer. This article also highlights the role of fusion proteins in targeting the signaling pathways involved in cancer for effective treatment.
A metabolism‐based study of the mechanism of action of Scrophularia ningpoensis Hemsl. on nephrogenic edema
Authors: Dong WanRu , Xing BeiYu , Yu JiaMin , Li Wei , Wang Yu , Zhong LuYang , Liu Ying , Wang Yi , Shu ZunPeng , Liu ShuMin 
Published: October 2023

AbstractNephrogenic edema (NE) is a type of edema with hypoproteinemia and water and sodium retention as a result of renal injury. Traditional Chinese medicine has proved that Scrophularia ningpoensis Hemsl. has an effect on NE, but its mechanism is not clear. In this study, the main components and blood components of S. ningpoensis were identified using ultra‐high‐performance liquid chromatography‐quadrupole‐time‐of‐flight‐mass spectrometry (UPLC‐Q‐TOF‐MS). Pathological section and blood biochemical analysis were used to estimate the therapeutic effect of S. ningpoensis on NE. Network pharmacology was used to predict the potential pathways of S. ningpoensis. The metabolomics method was used to study the changes in small‐molecule metabolites in the body. The results showed that S. ningpoensis could relieve NE by regulating relative to renal function and body edema, and its mechanism may be related to the regulation of energy metabolism, recovery of renal injury, and reduction in inflammation. The active component harpagoside may be one of the important compounds of S. ningpoensis in the treatment of NE. We confirmed that S. ningpoensis has a therapeutic effect on NE, which provides a solid scientific research basis for the clinical application of S. ningpoensis.
Investigation of differences in xenophobia, prosociality level, and sociodemographic characteristics in nursing students
Authors: Korkmaz Aslan Tuba , Sönmezer Öcal Hacer 
Published: October 2023

AbstractAimsThis study aimed to examine differences in xenophobia, prosocial behavior tendency, and sociodemographic characteristics among nursing students.Materials & MethodsThe participants were 227 nursing students (29.1% male, 70.9% female) attending the nursing department in the spring semester of the 2019–2020 academic year. We used a personal identification form, xenophobia scale, and prosocial behavior tendency scale to collect the data.ResultsAmong the participants, 24.7% were in first year, 30.4% were in second year, 21.6% were in third year, and 23.3% were in fourth year. Female students had higher prosocial behavior disposition, altruistic, and submissive scores than their male counterparts. The second‐year students’ prosocial behavior scores were higher than those of the third‐year students. The male students’ hatred, humiliation, and xenophobia scores were higher than those of the female students.DiscussionThe xenophobia scores were higher in those with two living parents and lower in those whose mothers had secondary education. We used the Kolmogorov–Smirnov test, Shapiro–Wilk test, and graphical assessments to test the quantitative data's compliance with normal distribution. We also employed the Student's t‐test and one‐way analysis of variance for data showing a normal distribution and Mann–Whitney U and Kruskal–Wallis tests for data showing non‐normal distribution. To evaluate the relationships among variables, we used the Pearson correlation analysis for normally distributed variables and Spearman's correlation analysis for non‐normally distributed variables.ConclusionWomen's prosocial behavior tendency total score was higher than men's, and men's xenophobia total score was higher than women's. There was a weak negative correlation between the positive behavior tendency and xenophobia total scores.
Association between salivary mature brain‐derived neurotrophic factor and psychological distress in healthcare workers
Authors: Ikenouchi Atsuko , Okamoto Naomichi , Hamada Shinsuke , Chibaatar Enkhmurun , Fujii Rintaro , Konishi Yuki , Igata Ryohei , Tesen Hirofumi , Yoshimura Reiji 
Published: October 2023

AbstractIntroductionPrevious studies have suggested association between brain‐derived neurotrophic factor (BDNF) and the stress level of workers. However, no studies have investigated the potential of salivary mature BDNF (mBDNF) level as a noninvasive biomarker for psychological distress. This study aimed to explore the reliability of salivary mBDNF as a biomarker for psychological distress in healthcare workers. Furthermore, we examined the relationship between salivary and plasma mBDNF levels and their correlation with age, sex, body mass index (BMI), and exercise habits.MethodsFifty‐one healthy healthcare workers (26 men) from the University of Occupational and Environmental Health, Japan, participated in this study. In this cross‐sectional study, participants provided demographic information. Psychological distress was assessed using the Kessler 6 (K6). Saliva and blood samples were collected, and mBDNF was measured by ELISA. Spearman's rank correlation coefficient was performed to analyze the relationship between mBDNF (saliva and plasma) and K6. Statistical analyses were conducted using Stata 17.0, and a significance level of p < .05 was applied.ResultsThe median K6 score was 1 (interquartile range [IQR]: 0–3). The median (IQR) salivary mBDNF was 1.36 (1.12–1.96) pg/mL, whereas the mean (standard deviation) plasma mBDNF was 1261.11 (242.98) pg/mL. No correlation was observed between salivary and plasma mBDNF concentrations or with the K6 score. Additionally, there were no associations between salivary or plasma mBDNF concentrations and age, sex, or exercise habits. Finally, an association between plasma mBDNF concentration and BMI was found only in univariate analysis.ConclusionOur findings indicate that salivary mBDNF can be accurately measured noninvasively in healthcare workers. Within our study sample, salivary mBDNF did not demonstrate any correlation with K6 and plasma mBDNF. Future studies with a larger study sample and a diverse study population consisting of healthy participants and patients with psychiatric disorders are warranted.
Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring
Authors: Tan Lisi , Yang Zhuodong , Irfan Muhammad , Ding Chante Jian , Hu Mingjun , Hu Jin 
Published: October 2023

AbstractLow‐carbon sustainable development is considered an essential strategy for achieving economic growth and environmental protection, requiring a fundamental transformation of the industrial structure, including developing clean technologies, promoting energy efficiency, and adopting sustainable production and consumption patterns. Simultaneously, the evolving digital economy is acknowledged as an essential driver in optimizing the industrial structure. Therefore, can digital economy development reshape the industrial structure and lead to low‐carbon sustainable development? The main purpose of this paper is to examine the mediating role of industrial structure upgrading in the relationship between the digital economy and low‐carbon development. Its ultimate purpose is to explore more possible paths to achieve low‐carbon development. This paper builds a regression model based on the data of cities. We found that digital economic development can directly promote low‐carbon sustainable development, a conclusion that still holds after endogeneity discussion and robustness testing. Additionally, digital economy development can promote industrial structure upgrading and thus promote low‐carbon sustainable development, meaning that industrial structure upgrading is an effective mechanism for digital economy development to promote low‐carbon sustainable development. This paper provides empirical evidence for the positive environmental externalities of digital economic development and establishes a basic research framework of “digital economic development → industrial structure upgrading → low‐carbon sustainable development.”
A prognostic nomogram that includes MPV in esophageal squamous cell carcinoma
Authors: He Qiao , Luo Zhenglian , Zou Haiming , Ye Bo , Wu Lichun , Deng Yao , Yang Mu , Wang Dongsheng , Wang Qifeng , Zhang Kaijiong 
Published: October 2023

AbstractBackgroundMean platelet volume (MPV), as a marker of platelet activity, has been shown to be an efficient prognostic biomarker in several types of cancer. Using MPV, this study aimed to create and validate a prognostic nomogram to the overall survival in esophageal squamous cell carcinoma (ESCC) patients.MethodsThe nomogram was constructed and tested using data from a retrospective study of 1893 patients who were randomly assigned to the training and testing cohorts with a 7:3 randomization. In order to screen out the optimal predictors for overall survival (OS), we conducted the LASSO‐cox regression, univariate, and multivariate cox regression analyses. Subsequently, the predictive accuracy of the nomogram was validated in both the training and the testing cohorts. Finally, decision curve analysis (DCA) was used to confirm clinical validity.ResultsAge, MPV, nerve invasion, T stage, and N stage were found as independent prognostic variables for OS and were further developed into a nomogram. The nomogram's prediction accuracy for 1‐, 3‐, and 5‐year OS was 0.736, 0.749, 0.774, and 0.724, 0.719, 0.704 in the training and testing cohorts, respectively. Furthermore, DCA results indicated that nomograms outperformed the AJCC 8th and conventional T, N staging systems in both the training and testing cohorts.ConclusionsThe nomogram, in conjunction with MPV and standard clinicopathological markers, could improve the accuracy of prediction of OS in ESCC patients.
Have I purchased the right product? Consumer behavior under corporate greenwash behavior
Authors: Hung Cheng‐Ze , Chang Tai‐Wei 
Published: October 2023

AbstractExtensive research on corporate greenwash behavior has been conducted within sustainable consumption, yet aware of green product information asymmetry remains largely unexplored. Drawn upon value‐attitude‐behavior hierarchy, this study investigates the impact of corporate greenwash behavior on green purchase behavior among customers in Taiwan, with a particular focus on the mediating role of green trust and environmental attitudes and on the moderating role of green product information asymmetry. Customers purchasing green products in northern Taiwan were surveyed using an online questionnaire. Data were gathered on two distinct occasions via a survey, yielding responses from 390 consumers in Taiwan. Our findings reveal that green trust mediates the relationship between corporate greenwash behavior and environmental attitudes and environmental attitudes mediates the relationship between green trust and green purchase behavior. Interestingly, while an green product information asymmetry weakens the negative relationship between corporate greenwash behavior and green trust, and strengthens the positive relationship between environmental attitudes and green purchase behavior. Our study contributes new insights into the relationship between corporate greenwash behavior on green purchase behavior within the unique context SDG 12 for responsible consumption and production goals, highlighting the complex interplay of green product information asymmetry to green trust and green purchase behavior.
Environmental values and sustainability: Mediating role of nature connectedness, and love for nature toward vegan food consumption
Authors: Kautish Pradeep , Thaichon Park , Soni Pavleen 
Published: October 2023

AbstractThe study aims to ascertain the mediating influence of nature connectedness and love for nature in the association of terminal and instrumental values with stated buying behavior in the vegan food context. Drawing theoretical underpinning from Value‐Belief‐Norm (VBN) in terms of value dichotomy and the Biophilia Hypothesis for sustainable consumption, the research hypotheses were tested using covariance‐driven structural equation modeling. Cross‐sectional data of 524 participants was collected through an online agency from an emerging market (India). Although the results suggest that improved terminal and instrumental values contribute to stated buying behavior, this effect transpires only through the love for nature. Furthermore, the role of love for nature as a mediating construct in the relationship between the terminal and instrumental values and the corresponding influence on stated buying behavior has been confirmed. Thus, the present study empirically corroborates the rationality of Value‐Belief‐Norm as well as the Biophilia Hypothesis as its novel theoretical contributions. Marketers of vegan food products should formulate terminal and instrumental value‐oriented strategies that reinforce nature connectedness and love for nature, which are anticipated to exert a significant stated buying behavior‐enhancing influence.
Kinetic Modeling to Explain the Release of Medicine from Drug Delivery Systems
Authors: Askarizadeh Mahshid , Esfandiari Nadia , Honarvar Bizhan , Sajadian Seyed Ali , Azdarpour Amin 
Published: October 2023

AbstractProper medication dissolution must be ensured when developing or manufacturing a new solid dosage form. Quantitative analyses performed in dissolution or release tests become simpler when applying mathematical formulae which represent dissolution outcomes as a function of several dosage form properties. Methodologies utilized to examine the kinetics of drug release from controlled‐release formulations are reviewed. The analysis of variance was conducted using statistical, model‐independent, and ‐dependent techniques for the dissolution profile comparison and fitting, respectively. Model equations, including zero‐ and first‐order, Hixson‐Crowell, Weibull, Higuchi, Korsmeyer‐Peppas, Baker‐Lonsdale, Hopfenberg, etc., were employed to match the experimental data. Additional release parameters were taken to illustrate the drug release patterns. Using correlation factors and the Akaike information criterion (AIC), the best‐fitting model was discovered, as were the transport phenomena affecting the behavior of the recognized formulations.
Wraparound services: Urban and rural college promise case studies
Authors: Bray Nathaniel J. 
Published: October 2023

AbstractThe chapter considers the importance of wraparound services for college students, and their use with College Promise programs in particular. Beginning with how the student debt crisis arose, the chapter explains various College Promise models and funding structures and how they link to and work with Pell grants. First‐dollar, last‐dollar, and middle‐ or last‐dollar‐plus programs are explained. The chapter then addresses what constitutes wraparound services, and why they are critical for students in College Promise programs or receiving Pell grant funding. The chapter then provides some specific examples from both rural (for example Kalamazoo) and urban (such as Baltimore) settings to highlight key elements of College Promise goals, structures, and outcomes.