bluuebunny/crossref_metadata_2025_split huggingface dataset:
Velocities of Hippocampal Traveling Waves Proportional to Their Coherence Frequency
Authors: Goelman Gadi , Benoliel Tal , Israel Zvi , Heymann Sami , Leon Juan , Ekstein Dana 
Published: July 2024

AbstractCortical traveling waves, characterized by their spatial, temporal, and frequency attributes, offer insights into active regions, timing, frequency, and the direction of activity propagation. Recent evidence suggests that these waves’ directionality and spatiotemporal extent encode cognitive processes, yet the encoding mechanism related to their frequency remains unclear.We explore the hypothesis that coherence frequency dictates the velocity of wave propagation. Using nonlinear coherence analysis to compute propagation pathways among four local-field-potential signals collected along the human hippocampus’s long axis, we present evidence that the coherence frequency of traveling waves encodes temporal communication aspects. Unlike linear analyses, which may overestimate velocities due to bidirectional flow when considering multiple pair coherences, nonlinear analysis treats pathways as holistic units with affectively unidirectional flow, making it more suitable for calculating wave velocities. Our findings reveal that propagation velocities along the hippocampus at low frequencies (<∼35Hz) demonstrate a linear dependency on frequency, with an increased slope at higher frequencies, suggesting different underlying mechanisms. Although observed within the hippocampus, these findings capture a dependency between frequency and velocity of traveling waves which may be applicable to other cortical areas as well.
Enhancing Precision Drug Therapy and build pharmacokinetic model in Pregnant Women: PBPK Modeling of Antiviral drugs
Authors: Abdulsamed Mohamed , Naass Ashraf. A. , AEswani Mohamed. S. , Bashir Sedigh 
Published: July 2024

AbstractPBPK/PD modeling is essential in modern drug development. Traditional drug development methods frequently rely on trial and error, which can be time-consuming, costly, and could be risky. Predicting pharmacokinetics (PK) of drugs in pregnant women, encompassing the intricate aspect of placental drug transfer, remains a complex task. This study was to compare of simulated or predicted and observed (previously published approaches) pharmacokinetic parameters among the four antiviral drugs in pregnant and non-pregnant women. In addition, this investigation endeavors to construct and assess physiologically-based pharmacokinetic (PBPK) models specific to maternal-fetal interactions for four antiviral drugs, Acyclovir, Emtricitabine, Dolutegravir (DTG) and Raltegravir (RAL). PBPK models were built with the Open Systems Pharmacology software suite (PK-Sim/MoBi). Different approaches to inform placental drug transfer were applied and compared. Model performance was evaluated using in vivo all 4 a forementioned antiviral maternal plasma concentrations during the 2nd and 3rd trimesters and umbilical vein concentrations at delivery. All clinical in vivo data were obtained from the International Maternal paediatric and Adolescent AIDS Clinical Trials (IMPAACT) Network P1026s study. The PBPK models successfully predicted plasma concentration-time profiles of four antiviral drugs in the 2nd and 3rd trimesters and most predicted PK parameters fell within a 1.33-fold error range. Predicted umbilical vein concentrations of DTG among others were in reasonable agreement with in vivo data but were sensitive to changes in the placental partition coefficient and transplacental clearance. Maternal-fetal PBPK modeling reliably predicted maternal PK of previously mentioned antiviral during pregnancy. For the fetal PK, data on the unbound fraction of highly protein-bound DTG has proven to be important to adequately capture changes in total clearance in silico. More research efforts, along with clinical data, are needed to verify the predictions of fetal PK of antiviral. In conclusion, the findings suggest the feasibility of employing physiologically-based pharmacokinetic (PBPK) models to assess the disposition of antiviral drugs in pregnant women and their fetuses.
A novel bifunctional peptide VAMP mined from hemp seed protein hydrolysates improves glucose homeostasis by inhibiting intestinal DPP-IV and increasing the abundance ofAkkermansia muciniphila
Authors: Chen Haihong , Li Wei , Hu Wei , Xu Bing , Wang Yi , Liu Junyu , Zhang Chong , Zhang Canyang , Zhang Xizhen , Nie Qixing , Xing Xinhui 
Published: July 2024

AbstractDiscovery of new dipeptidyl peptidase IV (DPP-IV) inhibitory peptides from natural protein resources capable of regulating glucose metabolism in type 2 diabetic populations has been a significant challenge. In this study, we constructed a molecular docking- and machine learning-aided DPP-IV inhibitory peptide library and combined a functional screening approach based on intestinal organoids to discover efficient and new DPP-IV-inhibiting peptides from hemp seed protein hydrolysates. A novel tetrapeptide, VAMP, was then identified to strongly inhibit DPP-IV (IC50=1.00 μMin vitro), which competitively binds to DPP-IV and improves glucose metabolismin vivowith high safety by increasing active glucagon-like peptide-1 (GLP-1) levels in obese mouse models. Interestingly, VAMP specifically promoted the growth and abundance of intestinalAkkermansia muciniphila in vivo, at the same time, which was responsible for the improved intestinal barrier function and insulin resistance. Our study demonstrated that the novel bifunctional VAMP can effectively target the DPP-IV-GLP-1 axis and simultaneously regulate the abundance of the gut microbialA. muciniphila, to regulate glucose homeostasis, providing a promising nutraceutical and therapeutic tetrapeptide for hyperglycaemia treatment by targeting the gut-microbiata axis.TeaserVAMP improves glucose metabolism by increasing the active GLP-1 level and promoting the growth ofA. muciniphilato improve intestinal barrier function.
Patterns of Ongoing Thought in the Real World and Their Links to Mental Health and Well-Being
Authors: Mulholland Bridget , Chitiz Louis , Wallace Raven , Mckeown Brontë , Milham Michael , Klein Arno , Leech Robert , Jefferies Elizabeth , Poerio Giulia , Wammes Jeffery , Stewart Jeremy , Hardikar Samyogita , Smallwood Jonathan 
Published: July 2024

AbstractThe thoughts we experience in daily life have implications for our mental health and well-being. However, it is often difficult to measure thought patterns outside of laboratory conditions due to concerns about the voracity of measurements taken in daily life. To address this gap in the literature, our study set out to measure patterns of thought as they occur in daily life and assess the robustness of these measures and their associations with trait measurements of mental health and well-being. A sample of undergraduate participants completed multi-dimensional experience sampling surveys eight times per day for five days as they went around their normal lives. Principal component analysis reduced these data to identify the dimensions that explained the patterns of thought reported by our participants. We used linear modelling to map how these thought patterns related to the activities taking place at the time of the probe, highlighting good consistency within the sample, as well as substantial overlap with prior work. Multiple regression was used to examine associations between patterns of ongoing thought and aspects of mental health and well-being, highlighting a pattern of “Intrusive Distraction” that had a positive association with anxiety, and a negative association with social well-being. Notably, this thought pattern tended to be most prevalent in solo activities and was relatively suppressed when interacting with other people (either in person or virtually). Our study, therefore, highlights the use of multi-dimensional experience sampling as a tool to understand how ongoing thoughts in daily life impact on our mental health and well-being, and establishes the important role social connectedness plays in the etiology of intrusive thinking.
How does green trust mediate the relationship between environmental concern and green brand knowledge during green purchases?
Authors: S. Vinoth , Srivastava Nidhi , Mittal Amit 
Published: July 2024

Purpose
This paper aims to examine the influence of environmental concerns and consumers’ knowledge of green brands on their purchasing decisions of green products, utilising green trust as a mediator.

Design/methodology/approach
Responses from 383 Indian consumers were collected, which was analysed using descriptive and inferential statistics. The causal relationships between latent variables and mediating effect of green trust were investigated by performing Structural Equation modelling.

Findings
Green trust served as a crucial factor in mediating the relationship between environmental concern and green purchase decision. Trust in eco-friendly products significantly influenced the consumers’ decisions to make green purchases. The study further validated that environmental concern significantly influences individuals’ decisions to make green purchases.

Research limitations/implications
The study employed a cross-sectional research design to elucidate the relationship among the factors. However, a longitudinal research design is recommended for further study to ascertain the actual purchase decision and evaluate the reliability of the results.

Practical implications
Marketers can use the study findings to understand consumer knowledge better and trust in green and sustainable products. The proposed model will support marketers and policymakers in developing appropriate marketing strategies as well as facilitate educating consumers about the nuances of green products and the habit of buying eco-friendly products.

Originality/value
Study’s novel contribution is mediation between environmental concern and green purchase decision through green trust.
Impact of organizational politics on organizational performance: the mediating role of individual performance
Authors: Al-Okaily Manaf , Tarhini Ali , Albloush Ahmad , Alharafsheh Malek 
Published: July 2024

Purpose
The purpose of this paper is to examine mediating role of individual performance between the association of organizational politics and organizational performance in Jordanian public sector.

Design/methodology/approach
The partial least squares–structural equation modeling was conducted to test the suggested hypotheses.

Findings
The findings revealed that organizational performance is significantly and negatively influenced by organizational politics and positively influenced by individual performance. In addition, the results also revealed that individual performance is significantly and negatively influenced by organizational politics. Finally, the results show that individual performance has mediated the association between organizational politics and organizational performance, and hence last hypothesis was accepted.

Originality/value
The current study provides several recommendations to the decision-makers in the Jordanian public sector, including enhancing transparency and publishing policies and regulations in a general and easily accessible manner.
The push and pull between culture and integrity in the workplace: an ethical decision-making context
Authors: Ellestad Andrew I. , Winton Bradley Gene 
Published: July 2024

Purpose
Multinational corporations encounter numerous challenges in making ethical decisions as they navigate diverse factors in every country where they conduct business. To the best of the authors’ knowledge, no research has been committed to investigating the effects of one’s cultural perspectives and moral virtue. Building on a theoretical foundation recently laid out in the literature (i.e. the culture-influenced value-specific model), this study aims to investigate the relationship between components of national culture (i.e. power distance, individualism, uncertainty avoidance and masculinity) and the moral virtue of integrity.

Design/methodology/approach
This paper uses a quantitative analysis methodology conducted among 160 US-based workers to test a direct effect model of the relationship between national culture and integrity. The hypothesized relationships are examined using linear regression. Additional analysis includes reliability and representativeness analyses.

Findings
Direct effects support the hypotheses that a worker’s cultural perspectives affect integrity. Specifically, this study found that a worker’s cultural aspects of power distance, individualism and masculinity are negatively and significantly related to an individual’s level of integrity. Additionally, an individual’s level of uncertainty avoidance is positively related to integrity.

Originality/value
This study contributes to the literature and practice by demonstrating how the culture in which one resides has an impact on the level of integrity one holds and potentially exhibits in the workplace. These findings are significant in that they are among the first to consider culture and moral virtue in an ethical decision-making model. Furthermore, these findings open an additional pathway for research concerning ethical behavior in the workplace.
ESG performance and analyst recommendations: evidence from sustainability analysts in the Chinese market
Authors: Chen Shiqiang , Cheng Mian , Luo Yonggen , Tsang Albert 
Published: July 2024

PurposeIn this study, we examine the influence of a firm’s environmental, social, and governance (ESG) performance on analysts’ stock recommendations and earnings forecast accuracy in the Chinese context.Design/methodology/approachWe take a textual analysis approach to analyst research reports issued between 2010 and 2019, and differentiate between two distinct analyst categories: “sustainability analysts,” which refer to those more inclined to incorporate ESG information into their analyses, and “other analysts.”FindingsOur evidence indicates that sustainability analysts tend to be significantly more likely than others to provide positive stock recommendations and demonstrate enhanced accuracy in forecasting earnings for companies with superior ESG performance. Our additional analyses reveal that this finding is particularly prominent for analysts who graduated from institutions emphasizing the protection of the environment, those recognized as star analysts, those affiliated with ESG-oriented brokerages, and forecasts made by analysts in the later part of the sample period. Our findings further indicate that sustainability analysts exhibit a more pronounced negative response when confronted with a negative ESG event.Originality/valueIn general, the evidence from this study reveals the interplay between ESG factors and analyst behavior, offering valuable implications for both financial analysts and sustainable investment strategies.
Diversity’s (in)visibility at two Hispanic Serving Institutions: how the whiteness of higher education constrains racially diversifying the K-12 teaching force
Authors: Schwitzman-Gerst Tara 
Published: July 2024

Purpose
Most research about combating the whiteness of teacher education neglects to analyze the whiteness of the higher education institutional contexts housing teacher preparation programs. This gap also holds true within research exploring Minority Serving Institutions’ potential to graduate large numbers of teachers of color. Consequently, this paper aims to argue that without strong institutional commitments to dismantle the whiteness of higher education, Hispanic Serving Institutions (a type of Minority Serving Institution) compromise their potential to robustly prepare and graduate K-12 teachers of color.

Design/methodology/approach
Drawing on an inductive qualitative analysis of interviews with teacher educators of color and students and a deductive qualitative analysis of publicly available data at two Hispanic Serving Institutions, this paper uses Critical Race Theory tenets of lived experience and intersectionality.

Findings
Both institutions enacted diversity commitments. However, findings demonstrated that institutional support neglected the multiple oppressive systems impacting students of color. Additionally, prioritizing (White) research norms invisibilized faculty of color in higher ranked professorial roles and compromised faculty pedagogy.

Originality/value
Findings address lesser known analyses of how the intersections between institutional climate, teacher education programs and the unique Hispanic Serving Institutional context impact student/preservice teacher and faculty/teacher educator racial diversity, demonstrate the necessity of using an intersectional lens when analyzing preservice teacher and teacher educator of color experiences, and demonstrate how racially diverse, multicultural higher education contexts can still invisibilize diversity.
EduChatbot: Implementing educational Chatbot for assisting the teaching-learning process by NLP-based hybrid heuristic adopted deep learning framework
Authors: Maheswari B. , Nagarajan Rajganesh 
Published: July 2024

Purpose A new Chatbot system is implemented to provide both voice-based and textual-based communication to address student queries without any delay. Initially, the input texts are gathered from the chat and then the gathered text is fed to pre-processing techniques like tokenization, stemming of words and removal of stop words. Then, the pre-processed data are given to the Natural Learning Process (NLP) for extracting the features, where the XLnet and Bidirectional Encoder Representations from Transformers (BERT) are utilized to extract the features. From these extracted features, the target-based fused feature pools are obtained. Then, the intent detection is carried out to extract the answers related to the user queries via Enhanced 1D-Convolutional Neural Networks with Long Short Term Memory (E1DCNN-LSTM) where the parameters are optimized using Position Averaging of Binary Emperor Penguin Optimizer with Colony Predation Algorithm (PA-BEPOCPA). Finally, the answers are extracted based on the intent of a particular student’s teaching materials like video, image or text. The implementation results are analyzed through different recently developed Chatbot detection models to validate the effectiveness of the newly developed model.Design/methodology/approach A smart model for the NLP is developed to help education-related institutions for an easy way of interaction between students and teachers with high prediction of accurate data for the given query. This research work aims to design a new educational Chatbot to assist the teaching-learning process with the NLP. The input data are gathered from the user through chats and given to the pre-processing stage, where tokenization, steaming of words and removal of stop words are used. The output data from the pre-processing stage is given to the feature extraction phase where XLnet and BERT are used. In this feature extraction, the optimal features are extracted using hybrid PA-BEPOCPA to maximize the correlation coefficient. The features from XLnet and features from BERT were given to target-based features fused pool to produce optimal features. Here, the best features are optimally selected using developed PA-BEPOCPA for maximizing the correlation among coefficients. The output of selected features is given to E1DCNN-LSTM for implementation of educational Chatbot with high accuracy and precision.Findings The investigation result shows that the implemented model achieves maximum accuracy of 57% more than Bidirectional long short-term memory (BiLSTM), 58% more than One Dimansional Convolutional Neural Network (1DCNN), 59% more than LSTM and 62% more than Ensemble for the given dataset.Originality/value The prediction accuracy was high in this proposed deep learning-based educational Chatbot system when compared with various baseline works.
Integrating social media technology for the awareness of ancient manuscript preservation
Authors: Rachman Yeni Budi 
Published: July 2024

Purpose
This paper aims to explore opportunities for using social media technology to support the awareness in the digital environment of ancient manuscript preservation, as well as to share Indonesian libraries’ experiences in leveraging those media.

Design/methodology/approach
This paper relies on a literature review to discuss the implementation of social media platforms for preserving and raising awareness of cultural heritage in the form of ancient manuscripts. This paper also observes how some Indonesian libraries use their social media accounts to preserve and raise awareness of ancient manuscript collections.

Findings
Social media technology provides opportunities for libraries to help perform their cultural heritage preservation function in various and interesting ways. Multiple Indonesian libraries rely on social media technology to preserve and raise awareness of their ancient manuscript collections. Some of those interesting strategies are uploading posts related to the libraries’ ancient manuscript collections; posting “snapshots” of sections of ancient manuscripts; documenting ancient manuscript conservation practices; documenting the involvement of communities in preserving ancient manuscripts; announcing upcoming events and activities related to ancient manuscript studies; and posting interesting news, information and updates about ancient manuscript collections.

Originality/value
This paper contributes to the existing literature and empirical studies by providing insights into the adoption of social media technology to help preservation and raise awareness of ancient manuscripts in the digital environment. This paper can help those libraries wanting to use their social media accounts to increase and develop their preservation efforts, especially when it comes to ancient manuscript collections.
The multipurpose utilization of inorganic materials in adsorption treatment of wastewater and core-modification of color index pigment red 57:1
Authors: Fei Xuening , Li Yuanyuan , Li Shuai , Cao Lingyun , Xing Dajie , Cheng Bingyang , Li Meitong , Zhao Hongbin 
Published: July 2024

Purpose
This study aims to realize the multipurpose use of inorganic materials in adsorption treatment of pigment wastewater and preparation of core-modified Color Index Pigment Red 57:1 (C.I. Pigment Red 57:1, PR 57:1).

Design/methodology/approach
In this paper, the inorganic materials (sepiolite and SiO2·nH2O) were used in both PR 57:1 production wastewater treatment and its core-modification. The inorganic material firstly adsorbed 3-hydroxy-2-naphthoic acid (bon acid) in the pigment wastewater to reduce chemical oxygen demand. Then, the inorganic material adsorbed with bon acid was reused to prepare core-modified PR 57:1.

Findings
In the pigment wastewater adsorption experiment, it was found that under pH = 3, the adsorption percentage of bon acid by inorganic material can reached up to 46.00%. The pigment characterization results showed that the core-modified PR 57:1 had a core-shell structure. Under UV light irradiation for 1 h, the core-modified PR 57:1 prepared with sepiolite and SiO2·nH2O showed total color difference ΔE value of 1.43 and 2.05, respectively, which was lower than that of unmodified PR 57:1 (ΔE = 2.89). In addition, the transmittance of pigment water suspension test results showed that the core-modified PR 57:1 showed better water dispersibility.

Originality/value
This paper attempts to develop a synergistic strategy based on the multipurpose use of inorganic materials in adsorption treatment of pigment wastewater and preparation of core-modified PR 57:1.