bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term variations (1970–2020) and spatial patterns of nitrogen and phosphorus soil budgets and fates in Indian agriculture
Authors: Elsayed Hamdy , Beusen Arthur , Prusty Ashisa K. , Bouwman Lex 
Published: October 2024

AbstractThe Green Revolution rapidly increased India’s food production since the 1960s, but excessive synthetic fertilizer use caused severe environmental problems. Our spatially explicit analysis for 1970–2020 indicates an uneven distribution of the dramatic increase of surpluses of India’s soil N (4.3 to 21.6 Tg N/year) and P budget (0.4 to 3.3 Tg P/year): with high surpluses in e.g., Green Revolution (GR) and South-West (SW) regions, lower surpluses in e.g., North-West (NW) and even local deficits within some other states Nutrient surpluses were growing primarily through increased use of synthetic fertilizers, which resulted in declining nutrient use efficiency, high N and P losses and soil P accumulation, with large regional heterogeneity. Total N loss is determined by the surplus, through “holes in the pipe”, whereby the holes (loss pathways) differ in diameter, as determined by climate, crop, soil, terrain and management. Ammonia volatilization ranged from 16% of the N surplus (NC) to 45% (GR states), and denitrification losses from 50% (NC and SW) to 38% (GR) and 28% (NE). N loss via leaching ranged from 46% (NE), to 22–26% (GR and NC), and 16% (SW), and surface runoff losses between 2% (GR) and 9% (NC). In the period 1970-2020, our estimated soil P accumulation across India amounts to 290 kg P/ha, highest in SW followed by NE and GR states and lowest in NC. The SW region also has the highest surface runoff P loss (40% of its regional budget), followed by NC (53%), NE (34%), and GR (26%). Addressing these regional differences can help developing effective, targeted and region-specific nutrient management strategies while meeting India’s rising food demand.
Higher Education Teaching Quality in the Aftermath of the Double Disruption
Authors: Lundberg Adrian , Stigmar Martin 
Published: October 2024

AbstractThe pandemic (first disruption) eventually led to a forced digital transformation (second disruption) in higher education. Consequently, university educators had to re-navigate their academic teacher identity. This study’s purpose is to contribute new knowledge about how teaching quality in current, post-pandemic, higher education might have been affected by these structural changes. To identify consensus and patterns of disagreement regarding subjectively perceived changes, rather than investigating an objective reality, Q methodology was selected. Forty-three university educators shared their views by rank-ordering a set of teaching quality aspects. Q method analysis allowed the emergence of three statistically distinct factors (F1-F3), which were interpreted. More openness concerning new teaching methods and technological innovations and increased accessibility of teaching were seen as positive changes by all factors. Different areas of change regarding teaching quality were most prominent in the three factors: promising change concerning educators’ use of visualizations and their pedagogic knowledge and skills (F1); a loss of support for and facilitation of students’ learning processes (F2); aspects connected to their own mental health and their awareness of what makes them happy before and during classes (F3). Additionally, results illustrate that in post-pandemic higher education, some university educators might distinguish between mode of delivery and content of teaching when discussing teaching quality. In conclusion, data shows that the disruptive time, despite its unfortunate origin, seems to have triggered both positive changes and revealed new areas of academic development. It remains to be seen how permanent some of the subjectively perceived changes are.
Towards AI driven surface roughness evaluation in manufacturing: a prospective study
Authors: Ghosh Sourish , Knoblauch Ricardo , El Mansori Mohamed , Corleto Cosimi 
Published: October 2024

AbstractIn the era of Industry 4.0 and the digital transformation of the manufacturing sector, this article explores the significant potential of machine learning (ML) and deep learning (DL) techniques in evaluating surface roughness—a critical metric of product quality. The integration of edge computing with current computational resources and intelligent sensors has revolutionized the application of AI-driven algorithms in smart manufacturing. It provides real-time data analysis and decision-making capabilities that were unattainable only a decade ago. The research effort intends to improve data-driven decision-making for product quality evaluation by leveraging data integration from manufacturing operations and surface quality measurements. Although a substantial amount of research has been conducted in the related fields, it is still difficult to comprehend and compile all the data on surface roughness research predictive assessment in the form of a process pipeline. This thorough systematic analysis examines scholarly articles published between 2014 and 2024 focusing on surface roughness assessment in precision manufacturing settings. The article is thoroughly classified based on the manufacturing processes, datasets, and ML models used, giving light on the present status, prominent approaches, and existing issues in this sector. A table summarizing the relevant works in this domain providing an easy access to the current trends have been provided. The article not only compiles essential findings and identifies research gaps and similarities in existing methodologies, but it also discusses future research directions and open issues in AI-aided surface roughness evaluation. The critical analysis of the literature reveals a scientific gaps which includes consistent development of benchmarked datasets and making the AI models more explainable using the state-of-the-art explainable AI (XAI) algorithms. The ultimate objective of the article is not only to provide a guide for the practitioners in either of the three domains of AI, manufacturing or surface metrology but also to pave the path for more robust, efficient, and accurate surface quality evaluation processes in production.
Recovery and Recidivism: The Aftermath of Helping the Organization Unethically
Authors: Yan Hongmin , Okimoto Tyler G. , Solnet David 
Published: October 2024

AbstractThis research draws from moral self-regulation and moral disengagement theories to examine how employees react to their own unethical pro-organizational behavior (UPB). We hypothesize that UPB will elicit mixed moral-based cognitive responses among employees that promote both recovery and recidivism. Results of two studies show that, on the one hand, engaging in UPB damaged perpetrators' moral self-concept, captured by an increase in perceived loss of moral credits; this prompted them to perform customer-directed helping behaviors to recover their damaged moral self-concept; on the other hand, UPB also elicited a cognitive justification process, which was related to an increase in subsequent UPB. This nuanced reaction helps explain why individuals' moral self-regulation does not necessarily remedy for moral failings, while also suggesting practical steps that leaders can take to prevent a "slippery slope" pattern of UPB from taking hold in the organization.
Crop mixtures: yield responses to climate and management and impacts on seed and soil chemical composition in a Scottish-based study
Authors: Brooker R. , Pakeman R. J. , Hewison R. L. , Mitchell C. , Newton A. C. , Neilson R. , Raubach S. , Shaw P. D. , Verrall S. , Karley A. J. 
Published: October 2024

Abstract
Introduction
Crop mixtures can be an important part of the toolkit for maintaining crop production while addressing the climate and nature crises. However, uncertainties around some issues may prevent their uptake.

Research question
This study addressed several uncertainties, specifically the response of mixture yields to climate and management, and the impacts of mixed cropping on seed chemical composition, soil carbon and nutrients.

Materials and methods
We undertook 32 intercropping trials between 2020 and 2022 on both commercial and research farms. These varied in design, management and crop combinations, with mixture choice often determined by farmers. We assessed multiple responses including yield, weed cover, and seed and soil chemical composition.

Results and conclusions
When compared to monocultures, yield gains from growing a crop mixture were roughly 20% based on Crop Performance Ratio (CPR). We found limited impacts of mixture diversity and composition on seed chemical composition, influences of management on weed control, and enhanced crop mixture performance under cooler conditions with lower rainfall. We also found varying mixture performance depending on mixture composition. Importantly, irrespective of management, climate, and composition effects, crop mixtures always performed at least as well as expectations based on monocultures. Even without further refinement from, for example, targeted breeding, crop mixtures provide reliable crops without yield losses or (for parameters tested) substantial changes in seed chemistry. However, detected reductions in organic matter in upper soil layers indicate a priority for future research is understanding crop mixture impacts on soil carbon dynamics in both shallow and deep soils.
A pilot cross-sectional investigation of symptom clusters and associations with patient-reported outcomes in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Post COVID-19 Condition
Authors: Weigel Breanna , Eaton-Fitch Natalie , Thapaliya Kiran , Marshall-Gradisnik Sonya 
Published: October 2024

Abstract
Background
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is associated with long-term disability and poor quality of life (QoL). Cardinal ME/CFS symptoms (including post-exertional malaise, cognitive dysfunction and sleep disturbances) have been observed in Post COVID-19 Condition (PCC). To gain further insight into the potential role of ME/CFS as a post-COVID-19 sequela, this study investigates associations between symptoms and patient-reported outcomes, as well as symptom clusters.

Methods
Participants included Australian residents aged between 18 and 65 years formally diagnosed with ME/CFS fulfilling the Canadian or International Consensus Criteria or PCC meeting the World Health Organization case definition. Validated, self-administered questionnaires collected participants’ sociodemographic and illness characteristics, symptoms, QoL and functional capacity. Associations between symptoms and patient-reported outcomes were investigated with multivariate linear regression models. Hierarchical cluster analysis was performed to identify symptom clusters.

Results
Most people with ME/CFS (pwME/CFS) and people with PCC (pwPCC) were female (n = 48/60, 80.0% and n = 19/30, 63.3%, respectively; p = 0.12). PwME/CFS were significantly younger (x̄=41.75, s = 12.91 years) than pwPCC (x̄=48.13, s =10.05 years; p =0.017). Autonomic symptoms (notably dyspnoea) were associated with poorer scores in most patient-reported outcome domains for both cohorts. None of the four symptom clusters identified were unique to ME/CFS or PCC. Clusters were largely delineated by the presence of gastrointestinal and neurosensory symptoms, illness duration, ME/CFS criteria met and total symptoms.

Conclusions
Illness duration may explain differences in symptom burden between pwME/CFS and pwPCC. PCC diagnostic criteria must be refined to distinguish pwPCC at risk of long-term ME/CFS-like illness and subsequently deliver necessary care and support.
Financial performance of new circular economy companies in rural settings
Authors: Magdalena Adriana Serrano , Fernández Beatriz Cuellar , Callén Yolanda Fuertes 
Published: October 2024

AbstractThis study examines how rural conditions affect the establishment and performance of new circular economy (CE) companies—those that reduce, reuse, recycle, and recover materials in their processes—focusing on their longevity, financial performance, and distribution of economic value to stakeholders. We hypothesize that while rural conditions generally lead to fewer business establishments, the liability of rurality is less severe for CE companies than for others. We also anticipate that new CE companies will grow more slowly but achieve better performance, resulting in higher survival rates compared to those in other sectors. Our empirical analysis includes all CE companies established in Spain over the past decade. The results indicate that rural CE companies have higher survival rates than their urban counterparts, even after controlling for factors like subsidies and personnel costs. Although rural CE companies exhibit slower growth, they achieve greater profitability. Thus, the CE sector in rural areas demonstrates sustainability not only through its circular practices but also in financial terms, offering significant implications for investors seeking sustainable ventures.
Algebraic Semantics for a Mixed Type Fragment of IPC
Authors: Lipka Eryk , Słomczyńska Katarzyna 
Published: October 2024

AbstractWe investigate algebraically the fragment of the intuitionistic propositional calculus consisting of equivalence together with conjunction on the intuitionistic regularizations. We find that this fragment is strongly algebraizable with the equivalent algebraic semantics being the variety of equivalential algebras with an additional binary operation that can be interpreted as the meet on regular elements. We give a finite equational base for this variety, and investigate its properties, in particular the commutator. As applications, we prove that the fragment is hereditarily structurally complete and we describe the top of the lattice of its axiomatic extensions.
Applied static analysis and specialization of cross-core syscalls for multi-core AUTOSAR OS
Authors: Entrup Gerion , Kässens Andreas , Fiedler Björn , Lohmann Daniel 
Published: October 2024

AbstractThe development of static real-time control systems often follows a closed-world assumption, allowing extensive RTOS-aware whole-program optimization. For single-core systems, previous work could show the high potential of control-flow-aware static system-call tailoring. However, due to an exponential state explosion in the analysis phase, it cannot simply be extended to a multi-core setting, since the core’s relative timing to each other is undetermined. In this work, we present MultiSSE, a multi-core capable and RTOS-aware static whole-system optimization. First, MultiSSE analyzes the system by determining the relative positions of multiple cores only when necessary. For that, it exploits structural control flow and optionally timing information to handle each core separately as much as possible. Based on the analysis result, a synthesis applies lock elision and system-call optimization to generate specialized multi-core real-time systems for AUTOSAR OS. To enable a static prediction of the run-time reduction, we additionally provide cost models for the optimized cross-core system calls and evaluate the approach with synthetic benchmarks and a real-world quadrotor application. MultiSSE was able to optimize or even completely elide costly cross-core system calls and system objects leading to a reduction of up to 14% of a task’s execution time. In this extended version of a conference publication (Entrup et al. 2023), we provide an advanced description, new cost models, and an end-to-end measurement by developing a synthesis complementing the analysis.
The effect of Vachellia eriolaba leaf meal inclusion on growth performance, blood parameters and methane gas emission in lambs fed diets containing ammoniated maize stover
Authors: Chelopo G. M. , Marume U. 
Published: October 2024

AbstractThe study evaluated the effect of Vachellia erioloba leaf meal in diets containing ammoniated maize stove on growth performance, methane emission and heath of growing lambs. Thirty-two female lambs were allocated to the following four dietary treatments: total mixed ration (TMR, control), 20% inclusion of untreated maize stover (UMS), 20% inclusion of ammoniated maize stover (AMS), and combined inclusion of 10% ammoniated maize stover and 10% Vachellia erioloba leaves (AMSVL). Each treatment was replicated 8 times and a lamb in an individual pen was regarded as an experimental unit in a completely randomized design. Feed intake was higher (P < 0.05) in lambs fed the AMS and AMSVL diets compared to those fed UMS. Final body weights were higher in lambs fed the AMS and AMSVL diets. Both average daily gain (ADG) and feed convention ratio (FCR) were not affected by diet. In comparison with the AMS and AMSVL diets, the lambs fed the UMS diet had the highest (P < 0.05) methane emission. Overall, lambs fed the control diets had the lowest (P < 0.05) methane gas emission. Blood hematological values were affected by diet with the AMSVL fed lambs having the highest (P < 0.05) mean platelet volume (MPV) and procalcitonin (PCT) values. Furthermore, total albumin, amylase and total bilirubin were the highest (P < 0.05) in lambs fed on the AMSVL diet. Lambs fed on AMS diet had the highest (P < 0.05) serum urea levels. It can be concluded that combined inclusion of ammoniated maize stover and Vachellia leaves improved feed value and lamb performance when compared to the individual inclusion of both UMS and AMS.
Effect of orange pulp with or without zeolite on productive performance, nitrogen utilization, and antioxidative status of growing rabbits
Authors: Ghoneem Wafaa Mostafa Ali , Rahmy Hassan Awny Fouad , El-Tanany Reham Roshdi Ali 
Published: October 2024

AbstractThe current study was designed to investigate the effect of dried orange pulp inclusion (OP diet), natural zeolite addition (Z diet), or both (OPZ diet) compared to control (CON diet) on digestibility, growth performance, nitrogen utilization, blood biochemical, antioxidative status, and cecum microbiota of growing rabbits. Seventy-two V-line male rabbits (6 weeks old) were divided into 4 balanced experimental groups. Results showed that administration of dried orange pulp or zeolite especially the OPZ diet significantly improved nutrient digestibility and nutritive values. Rabbits fed the experimental diets (OP, Z, or OPZ) recorded significantly higher values of average daily gain, N-retention, and N-balance compared with those fed the CON diet. Data on blood biochemical, showed non-significant differences in globulin concentrations, and significant decreases in levels of cholesterol, LDL (low-density lipoproteins), triglycerides, and MDA (malondialdehyde) as an antioxidant biomarker with OP, Z, or OPZ diets. Moreover, the incorporation of orange pulp or zeolite in diets significantly decreased the cecal count of E. coli, with no significant difference in total bacterial count among the experimental groups. It could be concluded that a combination between dried orange pulp and natural zeolite in the diet can enhance the growth performance, antioxidant and health status of rabbits.
Assessing variability among culturable phylloplane basidiomycetous yeasts from Italian agroecosystems
Authors: Ferluga Matteo , Avesani Michele , Lorenzini Marilinda , Zapparoli Giacomo 
Published: October 2024

AbstractThis study analysed basidiomycetous yeasts isolated from the phylloplane of crops and spontaneous plants in Italian agroecosystems. A total of 25 species belonging to 17 genera were recognized by analysing 83 isolates from vineyards and orchards, that are not treated with synthetic fungicides, and adjacent natural areas. Rhodotorula graminis and Filobasidium magnum were the most frequent species but 13 others were represented by a single isolate (e.g., Buckleyzyma salicina, Pseudozyma prolifica, and Moniliella megachiliensis). Preliminary analysis of (GTG)5-PCR fingerprinting revealed high genetic intraspecific heterogeneity. All isolates were characterized by their production of extracellular hydrolytic enzymes and their sensitivity to six commercial fungicides used in Italy. The isolates displayed great variability in these phenotypic traits, which play an important role in the survival of yeast populations in agroecosystems. Most of them exhibited lipolytic, proteolytic, β-glucosidase and pectinolytic activities, but only three (F. magnum, Kwoniella mangroviensis and Ps. prolifica) also had cellulolytic and amylolytic activity. Most isolates were sensitive to four fungicides, and one R. graminis isolate was resistant to all six. This heterogeneity was not related to the geographical origin of the isolates. The lack of selective factors (i.e. pesticide treatments) in the sampling fields and the presence of adjacent natural areas may have favored the maintenance of an elevated level of strain diversity. This study provides new information on phylloplane basidiomycetous yeasts in agroecosystems and opens the way to further investigations into the impact of agricultural practices on the microbial diversity of these natural habitats.
Pilot study on neonicotinoids in Finnish waterbirds: no detectable concentrations in common goldeneye (Bucephala clangula) plasma
Authors: Ask Amalie V. , Gómez-Ramírez Pilar , Jaspers Veerle L. B. , Fenoll José , Cava Juana , Vakili Farshad S. , Lemesle Prescillia , Eeva Tapio , Davranche Aurélie , Koivisto Sanna , Hansen Martin , Arzel Céline 
Published: October 2024

AbstractNeonicotinoids have been detected in farmland-associated birds and exposure to these insecticides has been linked to adverse effects. Even though neonicotinoids are mobile and persistent and have been detected in surface waters and aquatic invertebrates, there is a considerable lack of knowledge on their occurrence in waterbirds. Here we investigated the occurrence of seven neonicotinoids and some of their transformation products (imidacloprid, thiacloprid, thiamethoxam, acetamiprid, clothianidin, dinotefuran, nitenpyram, 6-chloronicotinic acid, hydroxy-imidacloprid, imidacloprid-urea, imidacloprid-olefin, thiamethoxam-urea, thiacloprid-amide, acetamiprid-acetate, and acetamiprid-desmethyl) in blood plasma of 51 incubating female common goldeneyes (Bucephala clangula). We collected samples from five different regions from southern to northern Finland encompassing rural and urban settings in coastal and inland areas. Surprisingly, none of the targeted neonicotinoids was found above the limit of detection in any of the samples. As neonicotinoid concentrations in wild birds can be very low, a likely reason for the nil results is that the LODs were too high; this and other possible reasons for the lack of detection of neonicotinoids in the goldeneyes are discussed. Our results suggest that neonicotinoid exposure in their breeding areas is currently not of major concern to female goldeneyes in Finland. Even though this study did not find any immediate danger of neonicotinoids to goldeneyes, further studies including surface water, aquatic invertebrates, and other bird species could elucidate potential indirect food chain effects.
Cities, Inequalities and the Geography of Societal Discontent in European Regions
Authors: Lenzi Camilla , Perucca Giovanni 
Published: October 2024

AbstractThe “urban wellbeing paradox” is a recurring theme in research examining the differences in life satisfaction across settlements of varying sizes, suggesting that large cities are consistently associated with higher levels of dissatisfaction due to disproportionately high interpersonal income inequalities. This paper re-evaluates that conclusion by analysing the relationship between individual dissatisfaction, conditions of personal disadvantage, and income inequality in large cities. Our extensive study, based on self-reported dissatisfaction from over 760,000 citizens living in EU and UK NUTS2 regions between 2013 and 2018, reveals that individuals facing occupational and economic disadvantages are the most negatively affected by living in urban areas. However, urbanization economies partially offset these negative effects, particularly for those individuals in disadvantaged conditions.