Miracle-dz/UniFAR-FTUs huggingface dataset:
Geochronology and palaeoclimatic context of submerged siliciclastic beachrock formation in the western Mediterranean Sea

This article describes the geomorphological and petrological characteristics of 19 submerged beachrocks located on the north Catalan coast (western Mediterranean Sea). Their length ranges between 8 and 1039 m, their width between 1.5 and 86.5 m and their thickness between 0.4 and 3.25 m. They are siliciclastic beachrocks consisting of well-rounded gravels with a very coarse sand matrix, and they have a low proportion of bioclasts (<1%). Cementation occurred in the swash zone and adjacent foreshore due to the precipitation of high magnesium calcite. From absolute dates (14C and optically stimulated luminescence) and anthropic artifacts, three phases of formation attributable to the Late Holocene were identified. Phase I corresponds to the warm and humid Roman Period and was recorded at a level below -3.75 m mean sea level (MSL). Phase II corresponds to the warm and arid Medieval Climate Anomaly and was recorded at +0.25 m to -2.5 m MSL. Phase III corresponds to the Little Ice Age and Industrial Period and was recorded at levels ranging from +0.5 m to -3.0 m MSL. Good temporal correspondence between the chronology of the cementation phases and warm and/or dry palaeoclimatic conditions can be established.
Diet and Anxiety: A Scoping Review

Anxiety disorders are the most common group of mental disorders. There is mounting evidence demonstrating the importance of nutrition in the development and progression of mental disorders such as depression; however, less is known about the role of nutrition in anxiety disorders. This scoping review sought to systematically map the existing literature on anxiety disorders and nutrition in order to identify associations between dietary factors and anxiety symptoms or disorder prevalence as well as identify gaps and opportunities for further research. The review followed established methodological approaches for scoping reviews. Due to the large volume of results, an online program (Abstrackr) with artificial intelligence features was used. Studies reporting an association between a dietary constituent and anxiety symptoms or disorders were counted and presented in figures. A total of 55,914 unique results were identified. After a full-text review, 1541 articles met criteria for inclusion. Analysis revealed an association between less anxiety and more fruits and vegetables, omega-3 fatty acids, “healthy” dietary patterns, caloric restriction, breakfast consumption, ketogenic diet, broad-spectrum micronutrient supplementation, zinc, magnesium and selenium, probiotics, and a range of phytochemicals. Analysis revealed an association between higher levels of anxiety and high-fat diet, inadequate tryptophan and dietary protein, high intake of sugar and refined carbohydrates, and “unhealthy” dietary patterns. Results are limited by a large percentage of animal and observational studies. Only 10% of intervention studies involved participants with anxiety disorders, limiting the applicability of the findings. High quality intervention studies involving participants with anxiety disorders are warranted.
Contextualising Indonesia-Japan Economic Partnership Agreement (IJEPA) within Strategic Partnership Framework

Abstract This article explains Indonesia’s rationale to prolong its cooperation with Japan under Indonesia-Japan Economic Partnership Agreement (IJEPA). This article utilises Wilkin’s Strategic Partnership framework to analyse the phenomenon. Under the aforementioned trade framework, Indonesia is still at disadvantageous position due to non-tariff barriers that is imposed by Japan. This article argues that Indonesia’s decision to prolong the agreement is because Japan – Indonesia economic partnership is intertwined with both parties security and ideological partnership.
The Role of Breast Cancer Stem Cells in Chemoresistance and Metastasis in Triple-Negative Breast Cancer

Simple Summary Triple negative breast cancer lacks targeted therapies and has poor prognosis; chemotherapy is currently the main treatment modality. Growing evidence has shown that breast cancer stem cells are associated with tumor initiation and metastasis and may play a critical role in chemoresistance. Multiple targets against breast cancer stem cells are now under investigation. Recent advances in the role of breast cancer stem cells in triple negative breast cancer and the identification of cancer stem cell biomarkers have paved the way for the development of new targeted therapies. The discovery of potential molecular signaling pathways targeting breast cancer stem cells to overcome chemoresistance and prevent metastasis will improve the overall survival of patients with triple negative breast cancer. Abstract Triple negative breast cancer (TNBC) remains an aggressive disease due to the lack of targeted therapies and low rate of response to chemotherapy that is currently the main treatment modality for TNBC. Breast cancer stem cells (BCSCs) are a small subpopulation of breast tumors and recognized as drivers of tumorigenesis. TNBC tumors are characterized as being enriched for BCSCs. Studies have demonstrated the role of BCSCs as the source of metastatic disease and chemoresistance in TNBC. Multiple targets against BCSCs are now under investigation, with the considerations of either selectively targeting BCSCs or co-targeting BCSCs and non-BCSCs (majority of tumor cells). This review article provides a comprehensive overview of recent advances in the role of BCSCs in TNBC and the identification of cancer stem cell biomarkers, paving the way for the development of new targeted therapies. The review also highlights the resultant discovery of cancer stem cell targets in TNBC and the ongoing clinical trials treating chemoresistant breast cancer. We aim to provide insights into better understanding the mutational landscape of BCSCs and exploring potential molecular signaling pathways targeting BCSCs to overcome chemoresistance and prevent metastasis in TNBC, ultimately to improve the overall survival of patients with this devastating disease.
Reconfigurations in brain networks upon awakening from slow wave sleep: Interventions and implications in neural communication

Sleep inertia is the brief period of impaired alertness and performance experienced immediately after waking. While the neurobehavioral symptoms of sleep inertia are well-described, less is known about the neural mechanisms underlying this phenomenon. A better understanding of the neural processes during sleep inertia may offer insight into the cognitive impairments observed and the awakening process generally. We observed brain activity following abrupt awakening from slow wave sleep during the biological night. Using electroencephalography (EEG) and a network science approach, we evaluated power, clustering coefficient, and path length across frequency bands under both a control condition and a blue-enriched light intervention condition in a within-subject design. We found that under control conditions, the awakening brain is typified by an immediate reduction in global theta, alpha, and beta power. Simultaneously, we observed a decrease in the clustering coefficient and an increase in path length within the delta band. Exposure to blue-enriched light immediately after awakening ameliorated these changes, but only for clustering. Our results suggest that long-range network communication within the brain is crucial to the waking process and that the brain may prioritize these long-range connections during this transitional state. Our study highlights a novel neurophysiological signature of the awakening brain and provides a potential mechanistic explanation for the effect of light in improving performance after waking. One sentence summary Blue-enriched light partially accelerates the rapid prioritization of long-range communication within the human brain that characterizes sleep inertia
Adoption Model of Mobile Payment Use in Non-Metro Area

Until 2020, mobile payments in Indonesia, especially m-wallet, are growing, with the frequency of m-Wallet transactions increasing from 18% before COVID-19 to 25% after COVID-19. Supported by the growth in the number of new digital consumers in Indonesia with an increase of 37%, 56% of the number came from non-metro areas, penetration opportunities in non-metro areas are highly increasing. Despite this development, research on the behavior of mobile payment users in the non-metro area is still minimal. Therefore, this research aims at studying the behavior of mobile payments usage, especially m-wallet in the non-metro area. The variables studied will be based on the UTAUT2 model. This study uses a mix-method method where qualitative data is processed and analyzed using content analysis, and quantitative data from the model will be tested using PLS-SEM in order to explain the relationship between variables. The results obtained indicate that facilitating conditions, habit, and price value significantly and positively affect behavioral intention. Meanwhile, the variable that influences usage behavior with a positive significance is only the facilitating condition variable. Therefore, it can be concluded that facilitating conditions or the availability of facilities and knowledge are significant factors to predict the behavior of using m-wallet in non-metro areas.
A fully analytical treatment of heat release in diesel engines

Abstract The paper details a wholly analytical approach to heat release modelling. The approach is based on the diffusion combustion process which is specific to diesel engines operating under very high injection pressures. The combustion is subsequently controlled mainly by two items, the instantaneous fuel mass present in the cylinder charge and the local density of turbulent kinetic energy. Analytical solutions are developed for each. An extensive test series was undertaken, covering the limiting torque curve (LTC) between 1250 and 4000 r/min and utilizing a high-pressure common rail diesel engine to generate the necessary validation data. The validation exercise has shown the flexibility of this heat release modelling approach to be extremely accurate and suitable for further development.
E-Key: An EEG-Based Biometric Authentication and Driving Fatigue Detection System

Due to the increasing number of fatal traffic accidents, there are strong desire for more effective and convenient techniques for driving fatigue detection. Here, we propose a unified framework – <italic>E-Key</italic> to simultaneously perform personal identification (PI) and driving fatigue detection using a convolutional neural network and attention (CNN-Attention) structure. The performance was assessed using EEG data collected through a wearable dry-sensor system from 31 healthy subjects undergoing a 90-min simulated driving task. In comparison with three widely-used competitive models (including CNN, CNN-LSTM, and Attention), the proposed scheme achieved the best (p <inline-formula><tex-math notation="LaTeX">$<$</tex-math><alternatives><mml:math><mml:mo><</mml:mo></mml:math><inline-graphic xlink:href="sun-ieq1-3133443.gif"/></alternatives></inline-formula> 0.01) performance in both PI (98.5%) and fatigue detection (97.8%). Besides, the spatial-temporal structure of the proposed framework exhibits an optimal balance between classification performance and computational efficiency. Additional validation analyses were conducted to assess the reliability and practicability of the model via re-configuring the kernel size and manipulating the input data, showing that it can achieve a satisfactory performance using a subset of the input data. In sum, these findings would pave the way for further practical implementation of in-vehicle expert system, showing great potential in autonomous driving and car-sharing where currently monitoring of PI and driving fatigue are of particular interest.
Dietary plasticity in an invasive species and implications for management: the case of the monk parakeet in a Mediterranean city

Behavioural flexibility may play a relevant role during invasion of a new habitat. A typical example of behavioural flexibility favouring invasion success refers to changes in foraging behaviour. Here we provide data on changes in the foraging strategies of monk parakeets Myiopsitta monachus over a period of 17 years (2001–2017) in Barcelona city. During this time, consumption of food on the ground increased by more than 25 % and the consumption of anthropogenic food increased by 8 %. Detailed information about the food consumed is provided. Feeding on the ground and consumption of low plants allow parakeets to reach not only anthropogenic food but also crops, thereby increasing the risk of crop damage as the invasion evolves. Early detection of damage to crops is crucial in order to prevent further harm, and makes the precautionary principle highly relevant.
Transverse-Tined and Longitudinal Diamond-Ground Texturing for Newly Constructed Concrete Pavement: A Comparison

The purpose of this study is to provide a comparison of longitudinal diamond-ground and transverse-tined pavement surface texturing for newly constructed portland cement concrete pavement (PCCP). The study area is located along a test section of I-190 in Buffalo, New York. The two PCCP surface treatment types under evaluation are compared based on safety, noise, construction cost, service life, rideability, handling, and maintenance requirements. The initial evaluation is documented, as is the analysis of follow-up noise and skid resistance measurements conducted approximately 1 year later. Analysis of the initial testing indicates that the relative skid resistance of the experimental longitudinal diamond-ground surface is as good or better than that of the transverse-tined surface. The results of the noise analysis indicate that the longitudinal diamond-ground surface is 2 to 5 dB quieter depending primarily on the traffic vehicle mix. Noise and skid resistance measurements conducted 1 year later showed little change. Although less construction time was required for the transverse-tined pavement compared with that for the diamond-ground pavement, the actual cost difference is not quantifiable. However, a higher initial cost for longitudinal diamond grinding would likely be partially offset by an extended service life.
A decade of supply chain collaboration and directions for future research

Purpose This paper aims to conduct a systematic review of the literature on supply chain collaboration published over a 10-year period from 2005 to 2014. It explores the nature and extent of research undertaken to identify key themes emerging in the field and gaps that need to be addressed. Design/methodology/approach The authors review a sample of 207 articles from 69 journals, after using an iterative cycle of defining appropriate search keywords, searching the literature and conducting the analysis. Findings Key themes include the meaning of collaboration; considerations for supply chain collaboration theory; emerging areas in collaboration for sustainability, technology-enabled supply chains and humanitarian supply chains; and the need for a more holistic approach, multi-tier perspectives and research into B2C collaborations. Research limitations/implications The paper provides discussion and scope for future research into the area which would contribute to the field tremendously. Originality/value There have been very few reviews in the past on supply chain collaboration, and this is one of the first extensive reviews conducted to address how well the body of knowledge on supply chain collaboration corresponds with our contemporary society.
Protection against Covid-19 by BNT162b2 Booster across Age Groups

Abstract Background After promising initial results from the administration of a third (booster) dose of the BNT162b2 messenger RNA vaccine (Pfizer–BioNTech) to persons 60 years of age or older, the booster campaign in Israel was gradually expanded to persons in younger age groups who had received a second dose at least 5 months earlier. Methods We extracted data for the period from July 30 to October 10, 2021, from the Israel Ministry of Health database regarding 4,696,865 persons 16 years of age or older who had received two doses of BNT162b2 at least 5 months earlier. In the primary analysis, we compared the rates of confirmed coronavirus disease 2019 (Covid-19), severe illness, and death among those who had received a booster dose at least 12 days earlier (booster group) with the rates among those who had not received a booster (nonbooster group). In a secondary analysis, we compared the rates in the booster group with the rates among those who had received a booster 3 to 7 days earlier (early postbooster group). We used Poisson regression models to estimate rate ratios after adjusting for possible confounding factors. Results The rate of confirmed infection was lower in the booster group than in the nonbooster group by a factor of approximately 10 (range across five age groups, 9.0 to 17.2) and was lower in the booster group than in the early postbooster group by a factor of 4.9 to 10.8. The adjusted rate difference ranged from 57.0 to 89.5 infections per 100,000 person-days in the primary analysis and from 34.4 to 38.3 in the secondary analysis. The rates of severe illness in the primary and secondary analyses were lower in the booster group by a factor of 17.9 (95% confidence interval [CI], 15.1 to 21.2) and 6.5 (95% CI, 5.1 to 8.2), respectively, among those 60 years of age or older and by a factor of 21.7 (95% CI, 10.6 to 44.2) and 3.7 (95% CI, 1.3 to 10.2) among those 40 to 59 years of age. The adjusted rate difference in the primary and secondary analyses was 5.4 and 1.9 cases of severe illness per 100,000 person-days among those 60 years of age or older and 0.6 and 0.1 among those 40 to 59 years of age. Among those 60 years of age or older, mortality was lower by a factor of 14.7 (95% CI, 10.0 to 21.4) in the primary analysis and 4.9 (95% CI, 3.1 to 7.9) in the secondary analysis. The adjusted rate difference in the primary and secondary analyses was 2.1 and 0.8 deaths per 100,000 person-days. Conclusions Across the age groups studied, rates of confirmed Covid-19 and severe illness were substantially lower among participants who received a booster dose of the BNT162b2 vaccine than among those who did not.
Seismic Performance Evaluation of RC Beam-Column Connections in Special and Intermediate Moment Frames

This article presents the results of a research project aimed at investigating the seismic performance criteria of beam-column connections in reinforced concrete (RC) moment frames. A total of 112 RC beam-column connection tests were examined in detail. All the test specimens were qualified as either special moment frame (SMF) or intermediate moment frame (IMF) connections, based on the design and detailing requirements of ACI 318-08 [2008, Ch. 21]. The performance acceptance criteria, originally defined for steel moment frame connections in the 1997 edition of the AISC Seismic Provisions, were employed to evaluate the seismic performance of the RC connection specimens. Most of the specimens that satisfied the ACI 318 design requirements applying for SMFs were found to be ductile up to a plastic drift of 3% without any major degradation in strength, which satisfied the AISC performance acceptance criteria. This is most likely attributed to the stringent ACI 318-08 requirements for joints in SMFs. On the other hand, more than 40% of the IMF connections were not satisfactory based on the AISC criteria applying for steel IMF connections. Joint shear stress level showed more significant effect on their seismic performance than the column-to-beam flexural strength ratio. It is believed that inadequate joint detailing prevented these connections from developing their full beam flexural capacity, which resulted in premature strength deterioration and subsequent failure. Based on the findings, it is recommended that design requirements for beam-column connections in RC IMFs should be revisited and enhanced; otherwise, the R-factor assigned for RC IMFs should be somewhat reduced to accommodate their smaller ductility than intended by the ACI 318 requirements.
Board Monitoring and the Wall Street Rule

The “Wall Street Rule” (WSR) has long been viewed as a “cut-and-run” strategy adopted by disillusioned institutional investors to express their dissatisfaction with the management. In this study, I show that WSR, far from being a passive way of protesting, is in fact a potent weapon to improve corporate governance. I present empirical evidence that WSR, a form of institutional investor monitoring, is positively associated with board monitoring (measured by board independence) when the firm is endowed with a strong board (outsider-dominated) in the first place. The results are robust to the pre-SOX and post-SOX periods, the inclusion of firm fixed effects, and also hold after taking into account endogeneity issues, which are pervasive in corporate finance research. This suggests that the WSR improves stock price informativeness, providing the board with an additional source of information so that it may monitor more effectively.
Co-Creating an Occupational Health Intervention within the Construction Industry in Sweden: Stakeholder Perceptions of the Process and Output

One way to prevent work-related stress, is to implement primary occupational health interventions aimed at improving the psychosocial work environment. However, such interventions have shown a limited effect, often due to implementation failure and poor contextual fit. Co-creation, where researchers, together with end-users and other relevant stakeholders, develop the intervention is increasingly encouraged. However, few studies have evaluated the effects of co-created interventions, and participants’ experience of the co-creation process. This is one of the first studies evaluating stakeholder perceptions of co-creating an occupational health intervention. We applied a thematic analysis, with data from 12 semi-structured interviews with stakeholders involved in the co-creation. Our results show that the respondents, in general, were satisfied with engaging in the co-creation, and they reported an increased awareness regarding risk factors of stress and how these should be handled. Additionally, the respondents described trust in the intervention activities and a good fit into the context. The study indicates that co-creating occupational health interventions can enhance the implementation and the contextual fit.
Trade Integration in West Africa: Does the Quality of Institutions Matter?

When asked why the level of intra-regional trade in West Africa is low despite regional integration efforts, the literature highlights the poorly diversified structure of economies, the non-application of community arrangements, the inconsistency or mismanagement of trade policies, supply constraints, and inadequate transport infrastructure. Without calling into question the relevance of these factors, this paper investigates the contribution of institutional variables to the explanation of trade flows in West Africa over the period from 1996 to 2018. Using a gravity model, the study shows that institutional quality matters. The quality of institutions in the Economic Community of West African States (ECOWAS) countries influences bilateral trade. Political stability is an essential component of the quality of the institutions that determine trade in the ECOWAS zone. These results suggest that more than trade liberalization is needed to deepen trade integration and that institutional reforms and harmonization in West Africa are required. © 2021 African Export-Import Bank . Publishing services by Atlantis Press International B.V. This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).