bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the Nexus of Distance Learning Satisfaction: Perspectives from Accounting Students in Serbian Public Universities During the Pandemic
Authors: Fedajev Aleksandra , Jovanović Dejan , Janković-Perić Marina , Radulescu Magdalena 
Published: June 2024

AbstractAmid the COVID-19 pandemic, teachers globally transitioned to distance learning, presenting significant challenges, particularly in developing countries. In that sense, the study investigates the usefulness and satisfaction (US) of distance learning (DL) among accounting students in Serbian public universities during the COVID-19 pandemic. The research focuses on three key factors affecting perceived US derived from existing literature, including teaching process quality (TPQ), technical qualities of distance learning platforms (TQ), and compatibility with social and pandemic conditions (CSPC). The developed theoretical model is predominantly based on the user satisfaction model. Data from 373 surveyed students, gathered through a validated questionnaire, underwent analysis using the partial least squares structural equation model (PLS-SEM). Results reveal that CSPC and TPQ significantly impact the US, whereas TQ has a minor and statistically insignificant effect. The R2 value indicates these three constructs explain a significant portion of the variance for the US, with moderate effects of CSPC and TPQ and a small effect of TQ, indicated by f2 values. Moreover, the model is found to be significantly predictive, according to the Q2 value. Besides theoretical implications, the study suggests important practical implications for university management, emphasizing regular student surveys, continuous improvement of DL systems, and effective and continuous teacher training as the vital measures for enhancing teaching quality. Improving TPQ and TQ also impacts the Serbian economy by fostering workforce development, enhancing digital transformation, stimulating telecommunication industry growth, driving digital information sector development, attracting investment and innovation, boosting global competitiveness, and promoting lifelong learning.
Public interest in drug-related problems reflected in information search trends: an infodemiological study
Authors: Martínez-Aguilar Laura , Sanz-Lorente María , Martínez-Martínez Fernando , Faus María J. , Sanz-Valero Javier 
Published: June 2024

Abstract
Background
The analysis of how people search and “navigate” the internet to obtain health-related information and how they communicate and share this information can provide valuable knowledge about the disease patterns behaviour and health habits of populations.

Objective
To determine the population’s interest in drug-related problems through information search trends.

Method
A descriptive ecological correlational study, based on obtaining Google Trends data. Variables studied: relative search volume (RSV), evolution over time, milestones and seasonality.

Results
The most searched topic was drug overdose, with mean RSV of 56.25 ± 0.65. The highest increase occurred in the contraindication topic (R2 = 0.87, p < 0.001). The main milestone was observed in the drug overdose topic in July 2018 (RSV = 100). A very close relationship was found between adverse drug reaction and contraindication (R = 0.89, p < 0.001). Slight seasonality was noted in the adverse drug reaction (augmented Dickey–Fuller test [ADF] = −1.96), contraindication (ADF = −2.66) and drug interaction (ADF = −1.67) topics, but did not show an epidemiological trend.

Conclusions
The greatest public interest was found in the drug overdose and contraindication topics, which showed a stronger upward trend, although the seasonality study did not show any very notable data or demonstrate epidemiological information search behaviour. The main milestone observed was due to media factors related to the consumption of narcotics. There was a clear difference in English-speaking countries in the use of the drug overdose topic. A correlation between the adverse drug reaction and contraindication topics was confirmed.

Graphical Abstract
Empowering Mexican Women in Behavior Analysis
Authors: Arroyo Rosalinda , Camacho Isaac 
Published: June 2024

AbstractConsidering empowerment as a circumstance under which power is extended, this article describes the elements of a metacontingency that allow such a function transfer to occur. Particular interest is placed on the empowerment of Mexican women in higher education and its unsatisfactory state. Mentoring is proposed as a tool for the empowerment of women in behavior analysis. In particular, the article presents an outline of a 2-year mentoring program that will promote interlocked behavioral contingencies and their products, which can be selected by the proper academic environment. This program also promotes the development of the mentee's agency and a set of data related to the products being created. Finally, this article highlights the possibility that such a mentorship program can empower female behavior analysts in Mexico and begin to change the cultural practices that uphold inequality for women.
Comprehensive comparisons of gradient-based multi-label adversarial attacks
Authors: Chen Zhijian , Luo Wenjian , Naseem Muhammad Luqman , Kong Linghao , Yang Xiangkai 
Published: June 2024

AbstractAdversarial examples which mislead deep neural networks by adding well-crafted perturbations have become a major threat to classification models. Gradient-based white-box attack algorithms have been widely used to generate adversarial examples. However, most of them are designed for multi-class models, and only a few gradient-based adversarial attack algorithms specifically designed for multi-label classification models. Due to the correlation between multiple labels, the performance of these gradient-based algorithms in generating adversarial examples for multi-label classification is worthy of analyzing and evaluating comprehensively. In this paper, we first transplant five typical gradient-based adversarial attack algorithms in the multi-class environment to the multi-label environment. Secondly, we comprehensively compared the performance of these five attack algorithms and the other four existing multi-label adversarial attack algorithms by experiments on six different attack types, and evaluated the transferability of adversarial examples generated by all algorithms under two attack types. Experimental results show that, among different attack types, the majority of multi-step attack algorithms have higher attack success rates compared to one-step attack algorithms. Additionally, these gradient-based algorithms face greater difficulty in augmenting labels than in hiding them. For transfer experimental results, the adversarial examples generated by all attack algorithms exhibit weaker transferability when attacking other different models.
Polymer Fiber Rigid Network with High Glass Transition Temperature Reinforces Stability of Organic Photovoltaics
Authors: Zhou Qiao , Yan Cenqi , Li Hongxiang , Zhu Zhendong , Gao Yujie , Xiong Jie , Tang Hua , Zhu Can , Yu Hailin , Lopez Sandra P. Gonzalez , Wang Jiayu , Qin Meng , Li Jianshu , Luo Longbo , Liu Xiangyang , Qin Jiaqiang , Lu Shirong , Meng Lei , Laquai Frédéric , Li Yongfang , Cheng Pei 
Published: June 2024

AbstractOrganic photovoltaics (OPVs) need to overcome limitations such as insufficient thermal stability to be commercialized. The reported approaches to improve stability either rely on the development of new materials or on tailoring the donor/acceptor morphology, however, exhibiting limited applicability. Therefore, it is timely to develop an easy method to enhance thermal stability without having to develop new donor/acceptor materials or donor–acceptor compatibilizers, or by introducing another third component. Herein, a unique approach is presented, based on constructing a polymer fiber rigid network with a high glass transition temperature (Tg) to impede the movement of acceptor and donor molecules, to immobilize the active layer morphology, and thereby to improve thermal stability. A high-Tg one-dimensional aramid nanofiber (ANF) is utilized for network construction. Inverted OPVs with ANF network yield superior thermal stability compared to the ANF-free counterpart. The ANF network-incorporated active layer demonstrates significantly more stable morphology than the ANF-free counterpart, thereby leaving fundamental processes such as charge separation, transport, and collection, determining the device efficiency, largely unaltered. This strategy is also successfully applied to other photovoltaic systems. The strategy of incorporating a polymer fiber rigid network with high Tg offers a distinct perspective addressing the challenge of thermal instability with simplicity and universality.
Factor Structure and Psychometric Properties of the L2 Savoring Beliefs Inventory
Authors: Elahi Shirvan Majid , Taherian Tahereh , Kruk Mariusz , Pawlak Mirosław 
Published: June 2024

AbstractThe rise of positive psychology (PP) in applied linguistics has led to a focus on the role of positive emotional functioning in second language (L2) learning and teaching. This field has identified key constructs from PP to understand how to replace negative emotions with positive ones in L2 learning. Despite these advancements, there is a need for a specific framework and scale to foster and measure positive emotions in this context. The concept of savoring, which involves recognizing and embracing positive emotions, addresses this need. The paper investigates the factorial structure and psychometric properties of the Language-Specific Savoring Beliefs Inventory (L2SBI) through exploratory structural equation modeling (ESEM). The results revealed that the bifactor ESEM solution is the most suitable model for assessing L2SBI. In other words, the L2SBI can be better represented by a comprehensive general component of L2 savoring beliefs, distinct from the three specific factors of anticipating progress in learning English, savoring the moment while learning English, and reminiscing about experiences in learning English. The study confirms the consistency of the L2SBI across genders and language levels, offering insights into varying belief patterns among learners and explaining differences in positive learning outcomes.
Contextualizing urban road network hierarchy and its role for sustainable transport futures: A systematic literature review using bibliometric analysis and content analysis tools
Authors: Tsigdinos Stefanos , Nikitas Alexandros , Bakogiannis Efthimios 
Published: June 2024

AbstractUrban road networks play a crucial role in transport and urban planning and have the potential to contribute to more sustainable futures if their hierarchy is properly understood. However, the concept of the urban road network hierarchy, which refers to street classification and prioritization, is not well defined within the domain of transport engineering management, leaving many questions unanswered. Is it simply a planning tool, or does it extend to defining the essence of cities? Is it a qualitative or quantitative concept? Does it emerge organically or require proactive planning? Given the lack of comprehensive answers to these questions, this research aims to provide a contextual understanding of the urban road network hierarchy through the lens of sustainable transport futures. To this purpose, we conducted a systematic literature review, which is an effective method for consolidating knowledge on a specific topic. A total of 42 articles were analyzed using both quantitative bibliometric analysis and qualitative content analysis. Our work demonstrates that the road network hierarchy consists of 16 sub-concepts. Four main research trends were identified and discussed: a) road morphology and structure, b) advanced algorithms for street classification, c) integrated street classification planning, and d) the social dimension of street classification. Recent literature indicates a shift toward alternative road network hierarchy approaches that prioritize sustainable mobility over car-centric models. In conclusion, our analysis reveals that the urban road network hierarchy is a multifaceted yet under researched “vehicle for change,” which, if utilized effectively, offers opportunities to reimagine urban road environments.
Energy intensity convergence among Chinese provinces: a Theil index decomposition analysis
Authors: Wang Yifan , Li Wei , Doytch Nadia 
Published: June 2024

AbstractChina, the world’s largest carbon emitter, has one of the most stringent provincial emissions reduction programs, incorporated into its Five-Year National Plan to reduce carbon emissions. However, the widening energy intensity gap between provinces poses a great challenge for carbon reduction. In this study, we analyze the convergence of Energy intensity (EIC), i.e., the time-dependent decrease of differences among regional energy intensity over time focusing on a data set of 30 Chinese provinces from 2000 to 2015. Our goal is to identify the provinces that are responsible for the observed divergence in energy intensity and identify the factors causing that divergence in each individual case. The Theil index is used to capture inter-provincial energy inequality. We use the LMDI decomposition analysis to identify the drivers of energy inequality (energy consumption structure, energy efficiency, and industrial structure). The results suggest that reducing energy intensity in Inner Mongolia, Xinjiang, and Hebei is the key to solving China's increasing energy intensity “gap” dilemma. The factors causing the energy intensity divergence in Inner Mongolia and Xinjiang are related to lagging economic growth and low energy efficiency, which impedes carbon emission reductions significantly. The factors causing the divergence of energy intensity in Hebei are rooted in its heavy industrial structure. Our findings are directly applicable to crafting regional energy policy with more targeted and practical emission reduction programs.
Synthesis of 1H-isoindolin-1-ones via a simple photodecarboxylative addition of carboxylates to phthalimides and evaluation of their antibiotic activity
Authors: Kemp Aiden , Durand Marine , Wall Daniel , Szieber Peter , Hermanns M. Iris , Oelgemöller Michael 
Published: June 2024

AbstractA variety of 3-hydroxy-isoindolin-1-one derivatives were synthesized using the photodecarboxylative addition of carboxylates to phthalimide derivatives in aqueous media. Subsequent acid-catalyzed dehydration furnished 3-(alkyl and aryl)methyleneisoindolin-1-ones with variable E-diastereoselectivity in good to excellent overall yields. Noteworthy, the parent 3-phenylmethyleneisoindolin-1-one underwent isomerization and oxidative decomposition when exposed to light and air. Selected 3-hydroxy-isoindolin-1-one and 3-(alkyl and aryl)methyleneisoindolin-1-one derivatives showed moderate antibacterial activity that justifies future elaboration and study of these important bioactive scaffolds.
Graphical abstract
Pliocene–Pleistocene Paleomagnetic Secular Variation and Time‐Averaged Field From the Northern Volcanic Zone of the Andes, Colombia
Authors: Sánchez‐Duque A. , Mejia V. , Torres M. P. , Pinilla A. 
Published: June 2024

AbstractPaleomagnetic results obtained from 38 Pliocene—Pleistocene volcanic flows from the Knot of the Pastos and surroundings of Puracé volcano and Popayán (southwestern Colombia) are presented. Using stringent quality criteria and excluding sites that classify as representatives of transitional states of Earth's field, a selected group of 27 sites (16 with normal polarity and 11 with reversed polarity) was obtained with a mean direction (Dec = 357.8°, Inc = 6.4°, α95 = 7.5° and κ = 15) that coincides with the geocentric axial dipole field (GAD: Dec = 0o, Inc = 3.2o) and, unlike similar studies at similar latitudes, does not coincide with the GAD plus a 5% axial quadrupolar component (Dec = 0°, Inc = −1.08°). However, when serial correlation (SC) among several sites with high inclination anomalies is taken into consideration, the mean direction of two resulting groups of sites shows greater consistency with a field that includes a quadrupolar component. It is interpreted that the sites treated for SC record states of the field similar to today's field in the area of study, which is being affected by the South Atlantic Anomaly.
Northbound Transport of the Mediterranean Outflow and the Role of Time‐Dependent Chaotic Advection
Authors: Saporta‐Katz Ori , Mantel Nadav , Liran Rotem , Rom‐Kedar Vered , Gildor Hezi 
Published: June 2024

AbstractThe Mediterranean Sea releases approximately 1 Sv of water into the North Atlantic through the Gibraltar Straits, forming the saline Mediterranean Outflow Water (MOW). Its impact on large‐scale flow and specifically its northbound Lagrangian pathways are widely debated, yet a comprehensive overview of MOW pathways over recent decades is lacking. We calculate and analyze synthetic Lagrangian trajectories in 1980–2020 reanalysis velocity data. Sixteen percent of the MOW follow a direct northbound path to the sub‐polar gyre, reaching a 1,000 m depth crossing window at the southern tip of Rockall Ridge in about 10 years. Surprisingly, time‐dependent chaotic advection, not steady currents, drives over half of the northbound transport. Our results suggest a potential 15–20 years predictability in the direct northbound transport. Additionally, monthly variability appears more significant than inter‐annual variability in Lagrangian mixing and spreading the MOW.
Quasi 16‐Day Wave Signatures in the Interhemispheric Field Aligned Currents: A New Perspective Toward Atmosphere‐Ionosphere Coupling
Authors: Jadhav Ashish P. , Yamazaki Yosuke , Gurubaran S. , Stolle Claudia , Conte J. Federico , Batista Paulo P. , Buriti Ricardo A. 
Published: June 2024

AbstractQuasi 16‐day waves (Q16DWs) are a prominent and recurrent phenomenon in the middle atmosphere, typically observed over winter mid and high latitudes. This study investigates the intense Q16DW event during the 2018–2019 Northern Hemisphere (NH) winter, and explores its propagation in the middle atmosphere and its notable influence on the E‐region ionosphere. Long‐term geopotential height estimates of Aura Microwave Limb Sounder (MLS) reveal that the wave activity under consideration exhibited the largest amplitudes in the mesosphere for past 16 years. An analysis of wind data obtained from medium frequency (MF) and meteor radars, as well as from Modern‐Era Retrospective analysis for Research and Applications, Version 2 (MERRA‐2) reanalysis, reveals the presence of a westward‐propagating Q16DW with zonal wavenumber 1 exhibiting notable asymmetry about the equator, with the majority of the wave activity being confined to the NH. The prominently large amplitudes and vertical wavelengths of the wave suggest potential for the wave propagation to extend deep into the E‐region ionosphere. Swarm satellite observations reveal concurrent ∼16‐day oscillations in the eastward component of the geomagnetic field at low latitudes. These oscillations can be attributed to the periodic variations in interhemispheric field‐aligned currents (IHFACs). The ∼16‐day oscillations in the IHFACs are likely a consequence of asymmetric wind‐dynamo action, which is directly or indirectly associated with the Q16DW. These findings suggest that planetary waves originating in the middle atmosphere can cause interhemispheric coupling in the ionosphere.
Composition and Bioreactivity of Dissolved Organic Matter Leachates From End Members in a Mountain to Prairie Transitional River Valley
Authors: Zhou Xingzi , Logozzo Laura A. , Johnston Sarah Ellen , Zink Lauren , Amerila Armi‐Lee , Bogard Matthew J. 
Published: June 2024

AbstractRiver organic matter transformations impact the cycling of energy, carbon, and nutrients. The delivery of distinct dissolved organic matter (DOM) sources can alter aquatic DOM cycling and associated biogeochemical processes. Yet DOM source and reactivity are not well‐defined for many river systems, including in western Canada. Here, we explore DOM cycling in the mainstem of the Oldman River (stream order 6–7), a heavily regulated river network in southern Alberta (Canada). We compared seasonal river DOM content, composition, and bioavailability with nine endmember leachates from the river valley using optical properties and incubations to estimate biodegradable dissolved organic carbon (BDOC). River DOM composition was most similar to terrestrial soil leachates, followed by autochthonous DOM leachates. River DOM bioavailability was low (BDOC = 0%–16.6%, mean of 7.1%). Endmember leachate bioavailability increased from soils (BDOC = 23.9%–53.7%), to autochthonous sources (fish excretion, macrophytes, biofilm; BDOC = 49.9%–80.0%), to terrestrial vegetation (leaves, shrubs, grass; BDOC > 80%), scaling positively with protein‐like DOM content and amount of leachable dissolved organic carbon (DOC), and negatively with aromaticity. Seasonally, DOC concentrations changed little despite >15‐fold increases in discharge during spring. River DOM composition shifted modestly toward soil‐like endmembers in spring and more bioavailable autochthonous end members in autumn and winter. Low DOM bioavailability in the river mainstem and low DOC yields shown in previous work point to limited internal processing of DOM and limited bioavailable DOM delivery to downstream habitats, possibly due to upstream flow regulation. Our observations provide important insights into the functioning of western Canadian aquatic networks.
Mapping Lava Flows on Venus Using SAR and InSAR: Hawaiʻi Case Study
Authors: Brandin M. C. , Sandwell D. T. , Johnson C. L. , Russell M. B. 
Published: June 2024

AbstractWe explore the potential for repeat‐pass SAR Interferometry (InSAR) correlation to track volcanic activity on Venus' surface motivated by future SAR missions to Earth's sister planet. We use Hawai'i as a natural laboratory to test whether InSAR can detect lava flows assuming orbital and instrument parameters similar to that of a Venus mission. Hawai'i was chosen because lava flows are frequent, and well documented by the United States Geological Survey, and because Hawai'i is a SAR supersite, where space agencies have offered open radar data sets for analysis. These data sets have different wavelengths (L, C, and X bands), bandwidths, polarizations, look angles, and a variety of orbital baselines, giving opportunity to assess the suitability of parameters for detecting lava flows. We analyze data from ALOS‐2 (L‐band), Sentinel‐1 (C‐band), and COSMO‐SkyMed (X‐band) spanning 2018 and 2022. We perform SAR amplitude and InSAR correlation analysis over temporal baselines and perpendicular baselines similar to those of a Venus mission. Fresh lava flows create a sharp, noticeable decrease in InSAR correlation that persists indefinitely for images spanning the event. The same lava flows are not always visible in the corresponding amplitude images. Moreover, noticeable decorrelation persists in image pairs acquired months after the events due to post‐emplacement contraction of flows. Post‐emplacement effects are hypothesized to last longer on the Venusian surface, increasing the likelihood of detecting Venus lava flows using InSAR. We argue for further focus on repeat‐pass InSAR capabilities in upcoming Venus missions, to detect and quantify volcanic activity on Earth's hotter twin.