bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of zeolite and irrigation treatments on grapevine leaves, an interdisciplinary approach
Authors: Cataldo Eleonora , Puccioni Sergio , Eichmeier Aleš , Natale Roberto , Gori Massimo , Biricolti Stefano , Mattii Giovan Battista 
Published: July 2024

Abstract
Aims
Global warming depicts a real challenge for viticulture. As found by PubMed results, a 90% increase in the abiotic stress publications number from 2015 onwards is registered. Soil and grapevine response interaction to abiotic stress is arbitrated by an intricate signal transduction network that determines adaptive changes and modifications in gene expression mediated by the transcription factors (WRKY proteins).
Briefly, (i) Does zeolite application affect canopy and biochemical leaf components? (ii) Is it possible to start a gene expression approach in an open-field vineyard, without fixed and stable external parameters obtaining an interconnected net of interdisciplinary data? (iii) Could the zeolite application be a corroborant tool to maintain a state of homeostasis in grapevine?

Methods
After a soil clinoptilolite treatment (the "Roca magica" well known as water moderator) and/or irrigation utilizing vines presented to drought and high sun exposure, we investigated leaf biochemical variations (proline, chlorophyll, and quercetins) and we analyzed with rt-PCR approach the expression of selected genes (VvWRKY47 and VvWRKY39).

Results
Lower water potential and leaf temperature were recorded in plants subjected to treatments against abiotic stress together with greater chlorophyll a, b, and less quercetin-3-O-glucoside. A down-regulation in VvWRKY47 gene and an up-regulation in VvWRKY39 gene were found. The VvWRKY47 showed interactions from the beginning with the zeolitic treatment.

Conclusion
The zeolite in our experiment acted as a water flywheel, mitigating the effects of climate change; plant-soil interactions were positively emphasized by clinoptilolite. Finally, results suggest that VvWRKY47 could be a valid candidate in the evaluation of drought and temperature stress in the open-field.
Political connections and credit access: evidence from small businesses and microenterprises in India
Authors: Hussain Malik Altaf , Tyagi Malvika 
Published: July 2024

Abstract
This paper examines the impact of political connections on credit access for small businesses and microenterprises (SBME) in India, utilizing data from the India Human Development Survey. While such connections can facilitate overcoming challenges like high transaction costs and incomplete credit markets, they may also impede equitable credit access. This study analyzes how political connections influence the loan amounts secured by households for business purposes in both rural and urban settings. It further dissects the broader impact of political connections, revealing their nuanced effects in relation to the nature of loan and income sources. Consequently, this research offers valuable insights for policymakers and practitioners, suggesting strategies that provide fair financial opportunities to ensure a level playing field for all SBMEs.

Plain English Summary
Empirical research shows political ties lead to inequitable loan opportunities for Indian small businesses. This research investigates the impact of political connections on securing loans for small businesses and microenterprises (SBMEs) in India. It finds that businesses with such ties are more likely to secure larger loans, creating an uneven playing field. It highlights the challenges in the credit markets of developing countries and emphasizes the importance of distributing loans equitably. The study calls for policies that ensure equal financial access for all SBMEs, promoting a balanced approach to overcome the complexities of political influence in credit access. It advocates for a fair and inclusive economic environment, supporting equitable growth and opportunity for all SBMEs.
Potato Consumption Forecasting Based on a Hybrid Stacked Deep Learning Model
Authors: Eed Marwa , Alhussan Amel Ali , Qenawy Al-Seyday T. , Osman Ahmed M. , Elshewey Ahmed M. , Arnous Reham 
Published: July 2024

AbstractPotato consumption forecasting is crucial for several stakeholders in the food market. Due to the market flexibility, the farmers can manipulate the volumes planted for a given type of produce to reduce costs and improve revenue. Consequently, it means that establishing optimal inventories or inventory levels is possible and critical in that sense for the sellers to avoid either inadequate inventory or excessive inventories that may lead to wastage. In addition, governments can predict future food deficits and put measures in place to guarantee that they have a steady supply of food some of the time, especially in regions that involve the use of potatoes. Increased potato-eating anticipation has advantages for the sellers and buyers of the potatoes. The experiments of this study employed various machine learning and deep learning (DL) models that comprise stacked long short-term memory (Stacked LSTM), convolutional neural network (CNN), random forest (RF), support vector regressor (SVR), K-nearest neighbour regressor (KNN), bagging regressor (BR), and dummy regressor (DR). During the study, it was discovered that the Stacked LSTM model had superior performance compared to the other models. The Stacked LSTM model achieved a mean squared error (MSE) of 0.0081, a mean absolute error (MAE) of 0.0801, a median absolute error (MedAE) of 0.0755, and a coefficient of determination (R2) value of 98.90%. These results demonstrate that our algorithms can reliably forecast global potato consumption until the year 2030.
Comprehensive Assessment of STGSA Generated Skeletal Mechanism for the Application in Flame-Wall Interaction and Flame-Flow Interaction
Authors: Yu Chunkan , Yang Bin 
Published: July 2024

AbstractIn this study, we conduct a thorough evaluation of the STGSA-generated skeletal mechanism for C2H4/air. Two STGSA-reduced mechanisms are taken into account, incorporating basic combustion models such as the homogeneous reactor model, one-dimensional flat premixed flame, and non-premixed counterflow flame. Subsequently, these models are applied to more complex combustion systems, considering factors like flame-flow interaction and flame-wall interaction. These considerations take into account additional physical parameters and processes such as mixing frequency and quenching. The results indicate that the skeletal mechanism adeptly captures the behavior of these complex combustion systems. However, it is suggested to incorporate strain rate considerations in generating the skeletal mechanism, especially when the combustion system operates under high turbulent intensity.
Effect of vegetation cover and soil moisture on water repellency persistence of drained peat soils
Authors: Szatyłowicz Jan , Papierowska Ewa , Gnatowski Tomasz , Szejba Daniel , Łachacz Andrzej 
Published: July 2024

AbstractPeatlands play an essential role in the environment and their conservation requires knowledge of water-related processes. Their hydrophobicity is an important factor influencing the flow of water in soils. Drainage of fens and adapting them for agricultural production have contributed to the degradation of peat soils. The main goal of this study was to evaluate the effect of vegetation cover (meadows, alder swamp and birch forest) of drained peat soils on the persistence of their water repellency as a function of their moisture content. Soil samples (Rheic Fibric Histosol and Rheic Murshic Hemic Histosol) were collected from four sites in the Biebrza Wetlands (Poland). The sites include extensive meadows, intensive meadows, alder swamp forest, and secondary birch forest. The study used the Water Drop Penetration Time (WDPT) to assess the persistence of soil water repellency during the drying of soil samples in laboratory conditions. The study proposed a three-straight lines model to describe the relationship between WDPT and soil moisture content. Results revealed that the peat soils in intensive meadows showed the highest WDPT, followed by the secondary birch and alder swamp forest. and then by semi-natural meadows, which has the lowest WDPT.
Successive association of adaptive/maladaptive response styles to depressive mood and decentering: a preliminary study of Japanese university students
Authors: Ishikawa Haruyuki , Mieda Takahiro , Oshio Atsushi , Koshikawa Fusako 
Published: July 2024

AbstractResponse styles to depressive mood, which are ruminative or distractive responses, have both adaptive and maladaptive forms. The adaptiveness of ruminative/distractive responses is associated with decentering. However, whether decentering increases using adaptive response styles or adaptive (maladaptive) response styles heighten (lower) decentering levels remains unclear. This short-term longitudinal survey examined the sequential influence of decentering on response styles and the indirect effect of decentering on depression through response styles. One hundred twenty-six Japanese undergraduates completed questionnaires on response styles, decentering, and depressive symptoms at two points in time, four weeks apart. Cross-lagged panel analyses indicated that decentering predicted lower maladaptive ruminative and distractive responses and a higher adaptive ruminative response. Adaptive ruminative response predicted higher decentering. Furthermore, mediation analyses showed that decentering influenced depression through adaptive/maladaptive ruminative responses. Results suggest that an individual’s decentering level partly determines which response style is likely to be used when an initial depressive mood is experienced.
Animal exploitation by the last hunter-gatherers in the Mediterranean Iberia. New data from the Mesolithic groups from Cocina cave (Valencia, Eastern Iberia)
Authors: Real Cristina , Sanchis Alfred , Monroe Shayla , García-Puchol Oreto , Ripoll Manuel Pérez , McClure Sarah B. 
Published: July 2024

AbstractMesolithic groups in Mediterranean Iberia lived during a period of bioclimatic and cultural changes. Thus, their economic behaviour and the availability of plant and animal resources show some interesting variation compared to previous periods that indicate changes in mobility patterns and social connectivity networks. This paper presents information on patterns of animal exploitation of the last hunter-gatherers in this region through zooarchaeological and taphonomic analyses of faunal remains from one of the key sites of the Iberian Peninsular Mesolithic, Cocina cave. This site is located in a mountainous woodland region with a rich Late Mesolithic archaeological record. Results indicate that Iberian ibex, red deer, and rabbits were the most hunted species, but that a diversity of other taxa were also present. The comparison to other Mediterranean sites suggests that Late Mesolithic foragers had common animal exploitation patterns with an increased taxonomic diversification and a clear connection to coastal areas. We suggest these foragers practiced a logistic pattern of food procurement, combining long-term with short-term camps including hunting spots, and in some cases evidence for broad scale social interactions. We hypothesize that Cocina cave may have served as a nexus of social and subsistence activities.
Event Identification for Supply Chain Risk Management Through News Analysis by Using Large Language Models
Authors: Shahsavari Maryam , Hussain Omar Khadeer , Saberi Morteza , Sharma Pankaj 
Published: July 2024

AbstractEvent identification is important in many areas of the business world. In the supply chain risk management domain, the timely identification of risk events is vital to ensure the success of supply chain operations. One of the important sources of real-time information from across the world is news sources. However, the analysis of large amounts of daily news cannot be done manually by humans. On the other hand, extracting related news depends on the query or the keyword used in the search engine and the news content. Recent advancements in artificial intelligence have opened up opportunities to leverage intelligent techniques to automate this analysis. This paper introduces the LUEI framework, a lightweight framework that, with only the event’s name as input, can autonomously learn all the related phrases associated with that event. It then employs these phrases to search for relevant news and presents the search engine results with a label indicating their relevance. Hence, by conducting this analysis, the LUEI framework is able to identify the occurrence of the event in the real world. The framework’s novel contribution lies in its ability to identify those events (termed as the Contributing Events (CEs)) that contribute to the occurrence of a risk event, offering a proactive approach to risk management in supply chains. Pinpointing CEs from vast news data gives supply chain managers actionable insights to mitigate risks before they escalate.
Datafeudalism: The Domination of Modern Societies by Big Tech Companies
Authors: Saura García Carlos 
Published: July 2024

AbstractThis article critically examines the domination exerted by big digital companies on the current social, economic, and political context of modern societies, with a particular focus on the implications for the proper functioning of democracy. The objective of this article is to introduce and develop the concept of datafeudalism, expose its emergence for the proper functioning of modern societies and democracy, and to propose courses of action to reverse this situation. To achieve this purpose, firstly, the evolution from surveillance capitalism to datafeudalism will be discussed. Secondly, the structures and operating logic of data feudalism will be analyzed. Thirdly, the harmful impacts of datafeudalism on the proper functioning of the democratic systems of the European Union will be examined. Finally, an attempt will be made to outline courses of action that will make it possible to reverse the situation of economic, social and political tyranny exercised by big digital companies through datafeudalism.
Why bother with arts education in schools?
Authors: Thomson Pat 
Published: July 2024

Abstract
Enrolments in school arts subjects are falling in both England and Australia. There are various arguments made in an attempt to reverse the situation. The arts are said to be vital for the economy, linked to success in core school subjects, are educationally inclusive and important for their disciplinary knowledges. In this paper, based on my Radford lecture, I canvass these arguments, concluding that arts education, like the arts themselves, are complex and refuse simple reductions. I speculate about what this might mean for the arts and broader education research community.
Comparison of drying methods for biochemical composition, energy aspects, and color properties of alfalfa hay
Authors: Kaplan Mahmut , Çetin Necati , Çiftci Beyza , Karpuzcu Serkan 
Published: July 2024

AbstractAlfalfa is a crucial feed source for livestock, necessitating proper drying to achieve optimal moisture levels before consumption. This study aims to reveal alfalfa's drying characteristics and quality properties, defined as the queen of feed, by drying it under different drying conditions. Alfalfa samples were dried using different drying techniques: Open-sun, shade, greenhouse, hybrid (microwave-air-convective), air-convective, microwave, and freeze-drying. The influence of drying techniques on the drying kinetics, energy aspects, biochemical properties, mineral composition, fatty acids, carotene, and color attributes of alfalfa were investigated. Present findings revealed that shade and high-temperature drying conditions increased the crude fiber content (23.18%) of alfalfa samples. The highest protein values were found in open-sun drying (22.01%) and 60 °C air-convective drying (22.10%). The highest values for mineral composition were determined in freeze drying, and the greatest Zn (33.68 ppm) and Fe (135.45 ppm) contents were determined in 100 °C air-convective drying. The highest saturated fatty acids open-sun (21.27%) and freeze dryer (21.07%), unsaturated fatty acids at 60 °C (84.51%) and 80 °C (84.26%), poly unsaturated fatty acids at 60 °C (78.36%), 80 °C (78.14%) and 100 °C (77.74%) were obtained. The drying kinetics of alfalfa were best modeled with the Jena&Das, and in terms of a* (greenness) values, the hybrid drying yielded the best results. The lowest total energy consumption (54.00 kWh) was seen in 200W + 80 °C hybrid drying and the highest (324.72 kWh) in 100 °C air-convective drying. The color attributes and energy consumption findings showed that hybrid drying could efficiently be used for alfalfa drying. In addition, freeze drying was determined to be the best drying method in terms of nutrient preservation.
Breaking barriers: female and Hispanic undergraduate students experience gains in self-confidence and tolerance for obstacles during a sustainability-centered internship program in the USA
Authors: Murray M. , Spinks H. , Besen-Cassino Y. , Emery E. , Johnson B. , Perez E. Nunez , Wang Y. , Lopatto D. , Goodey N. M. , Tuininga A. R. 
Published: July 2024

AbstractPrevious research has shown that female and Hispanic students who are underrepresented in science, technology, engineering and mathematics (STEM) face more educational barriers than their non-Hispanic, male peers. However, little research has been conducted on the effects of intersectional identities in the STEM space. In an effort to bridge the gap in underrepresented students' experience, the PSEG Institute for Sustainability Studies organizes a paid, interdisciplinary, team-based, experiential learning and internship program called the Green Teams that occurs during 10 weeks of the summer. The Green Teams Program strives to provide undergraduate students from all backgrounds–academically, economically, and demographically–an opportunity to develop their abilities in STEM fields and prepare them to enter the professional world. Based upon a survey given post-internship, self-reported learning gains for all students were analyzed to determine if the program had a significantly greater impact on students who are from groups traditionally underrepresented in STEM in their STEM-related learning gains and their confidence in STEM disciplines. Through t-tests, a Principal Component Analysis (PCA), and a 2-way factorial Analysis of Variance (ANOVA), Hispanic and female participants were found to report significantly higher learning gains than their counterparts in multiple STEM areas from increased tolerance for obstacles to gains in self confidence. The results of the study suggest Hispanic and female students benefit from paid work experiences in STEM with diverse peers and intentional, supportive mentoring. This research on the Green Teams Program provides insight into how this approach positively impacts STEM education of individuals from traditionally underrepresented groups in STEM. The findings may help to further guide the development of the Green Teams Program and the adoption of paid, interdisciplinary, team-based, experiential learning and internship experiences in additional academic STEM settings.
Psychosocial Determinants Conferring Resilience after TBI: Current Understanding
Authors: Semanision Kara , Williams Rebecca , Moran Eileen , Rabinowitz Amanda 
Published: July 2024

Abstract
Purpose of review
Traumatic Brain Injury (TBI) is a complex condition, with outcomes ranging from profound disability to remarkable recovery. Considerable variability in outcomes is observed, even among those with similar injury mechanisms, severity and neuropathological pattern. This indicates a need to explore resilience factors influencing TBI recovery.

Recent findings
This narrative review synthesizes existing literature, focusing on individual, social, and community factors impacting resilience post-TBI. Recent research highlights how individual factors such as personality traits, coping strategies, and premorbid psychiatric history, as well as social and contextual factors, like social support and social determinants of health (SDoH) all impact TBI recovery. We also discuss clinical applications of resilience-focused interventions to promote health and wellbeing after TBI.

Summary
An improved understanding of resilience factors and pathways to recovery post-TBI is crucial for optimizing outcomes. Future research should focus on developing comprehensive interventions addressing individual, social, and community-level factors to foster resilience and enhance TBI recovery.
Formulation and development of composite materials for thermally driven and storage-integrated cooling technologies: a review
Authors: Borri Emiliano , Ushak Svetlana , Li Yongliang , Frazzica Andrea , Zhang Yannan , Milian Yanio E. , Grageda Mario , Li Dacheng , Cabeza Luisa F. , Brancato Vincenza 
Published: July 2024

AbstractThe energy consumption for cooling takes up 50% of all the consumed final energy in Europe, which still highly depends on the utilization of fossil fuels. Thus, it is required to propose and develop new technologies for cooling driven by renewable energy. Also, thermal energy storage is an emerging technology to relocate intermittent low-grade heat source, like solar thermal energy and industrial waste heat as well as to exploit off-peak electricity, for cooling applications. This review aims to summarize the recent advances in thermally driven cooling and cold storage technologies, focusing on the formation and fabrication of adopted composites materials, including sorption materials, phase change materials, and slurries. Herein, first the classifications, selection criteria, and properties for these three types of materials is discussed. Then, the application potentials of all the materials are prospected in terms of economic analysis and sustainability.
LONEStar: The Lunar Flashlight Optical Navigation Experiment
Authors: Krause Michael , Thrasher Ava , Soni Priyal , Smego Liam , Isaac Reuben , Nolan Jennifer , Pledger Micah , Lightsey E. Glenn , Ready W. Jud , Christian John 
Published: July 2024

AbstractThis paper documents the results from the highly successful Lunar flashlight Optical Navigation Experiment with a Star tracker (LONEStar). Launched in December 2022, Lunar Flashlight (LF) was a NASA-funded technology demonstration mission. After a propulsion system anomaly prevented capture in lunar orbit, LF was ejected from the Earth-Moon system and into heliocentric space. NASA subsequently transferred ownership of LF to Georgia Tech to conduct an unfunded extended mission to demonstrate further advanced technology objectives, including LONEStar. From August to December 2023, the LONEStar team performed on-orbit calibration of the optical instrument and a number of different OPNAV experiments. This campaign included the processing of nearly 400 images of star fields, Earth and Moon, and four other planets (Mercury, Mars, Jupiter, and Saturn). LONEStar provided the first on-orbit demonstrations of heliocentric navigation using only optical observations of planets. Of special note is the successful in-flight demonstration of (1) instantaneous triangulation with simultaneous sightings of two planets with the LOST algorithm and (2) dynamic triangulation with sequential sightings of multiple planets.