bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trends in public procurement and innovation: a bibliometric analysis and future research agenda
Authors: Changalima Ismail Abdi , Mchopa Alban Dismas 
Published: October 2024

Purpose
In recent years, there has been a growing academic interest in incorporating innovation into the public procurement practices. Nevertheless, a noticeable scarcity of current bibliometric studies in this particular field exists. To fill this gap, the study analyzes trends in public procurement and innovation.

Design/methodology/approach
The study conducts a bibliometric analysis on data from 354 journal articles and reviews retrieved from the Scopus database. Specifically, performance analysis was conducted to gain an overview of the field in terms of research productivity, while science mapping was performed to analyze the relationship networks between concepts through co-word analysis.

Findings
The initial part of the analysis focused on publication trends and compiled a list of the most influential journals that delve into the field. Generally, the findings indicate an increase in research on public procurement and innovation since 2012, despite fluctuations in the number of publications over the years. The geographical distribution highlighted that countries from Europe have been the most prolific contributors to this field, with limited representation of developing countries especially from Africa. A co-word analysis through VOSviewer identified 11 key clusters that present relevant knowledge themes and future research agenda in the field. The themes revolve around aspects such as sustiainability, development strategies, efficiency in construction industry, societal and regional development, small and medium-sized enterprises' involvement, sustainable public procurement, and tendering.

Originality/value
This study contributes to the body of knowledge by uniquely presenting the trends on publications related to public procurement and innovation, considering recent developments in the field. It identifies key research themes and delves into the identified clusters, concluding with a discussion on potential avenues for future research.
Absolute emissions targets and voluntary carbon disclosure: an international empirical survey
Authors: Mateo-Márquez Antonio J. , González-González José M. , Zamora-Ramírez Constancio 
Published: October 2024

Purpose
This paper aims to analyze the influence of organizational and contextual factors on companies’ decisions to set absolute emissions targets and science-based targets (SBTs).

Design/methodology/approach
This study uses a sample of 23,166 observations across 69 countries from 2016 to 2020 to analyze the likelihood of firms to establish absolute emissions targets and SBTs.

Findings
The results show that firm size, governance, climate-related regulation and moral acceptance in the country in question positively influence companies’ decisions on these matters. Furthermore, while profitability has a positive influence on the participation of companies in the SBT initiative (SBTi), both the financial risk involved and sector emissions intensity can discourage companies from participating in the SBTi or from establishing absolute emissions targets.

Practical implications
This study may allow regulators and policymakers to encourage carbon information disclosure with a greater focus on aspects that specifically contribute to evaluating ways of promoting effective behavior on the part of companies in the fight against climate change.

Social implications
The results of this study serve to support the demands of civil society, as well as to guide regulators in the design of measures in the fight against climate change and steer the decision-making of investors in moving toward a low carbon economy.

Originality/value
To the best of the authors’ knowledge, this study is the first to examine whether organizational and contextual factors affect companies’ propensity to set absolute emissions targets and SBTs.
Zooming in on the temporal dimensions of plant–soil feedback: Plant sensitivity and microbial dynamics
Authors: Liu Xiangyu , Steinauer Katja , van der Veen‐van Wijk Karin , Bezemer Thiemo Martijn 
Published: October 2024

Abstract

The magnitude of plant–soil feedback (PSF) can depend on the time of conditioning as well as the length of feedback. Understanding the temporal variation in PSF requires insight in the response of both soil characteristics and the plant.

We examined how conspecific PSF varies with the length of conditioning and the size of the response plant using Jacobaea vulgaris, a species known to experience negative conspecific PSF. Together with reanalysis of an existing microbial sequence dataset, we tested whether the temporal variation in PSF is due to size‐dependent plant sensitivity to conditioned soil or due to compositional changes in microbial communities of conditioned soil. Further, by reanalysing another existing dataset, we examined temporal dynamics of the relative growth rates (RGR) of J. vulgaris during the feedback phase.

Testing varying conditioning lengths, uncovered that J. vulgaris exhibited the strongest negative PSF at 5 weeks of conditioning, after which PSF gradually attenuated. Plant sensitivity to conditioned soil decreased with increasing plant age/size of the response plant. In the feedback phase, the RGR of J. vulgaris was first higher, then lower and at the end similar in ‘away’ soil compared to ‘home’ soil.

The dissimilarity in bacterial and fungal communities in ‘home’ and ‘away’ soil significantly decreased during the feedback phase. When J. vulgaris grew in ‘away’ soil, the relative abundance of 10 (out of 80) bacterial OTUs that positively correlated with plant growth decreased over time, while 5 (out of 86) OTUs that negatively correlated with plant growth the relative abundance increased over time. Additionally, only one (out of 10) fungal OTU that negatively associated with plant growth increased over time in ‘away’ soil.

Synthesis. Our findings illustrate that PSF varies with the duration of soil conditioning and of the feedback phase. During the feedback phase, changes in PSF can be attributed to both the size‐dependent plant sensitivity to conditioned soil and temporal changes in the microbial community of conditioned soil. This highlights the importance of considering the reconditioning of soil microbial communities by the test plants during the feedback phase for understanding temporal variation in PSF.
Emotions in the aisles: Unpacking the use of emotive language in the UK House of Commons
Authors: YILDIRIM TEVFIK MURAT 
Published: October 2024

AbstractThe use of emotive rhetoric in legislative debates has attracted increasing scholarly attention in political science research. Building on recent scholarship, I examine the conditions under which emotive rhetoric dominates legislative speeches in the UK House of Commons between 2001 and 2015. By coding nearly half a million legislative speeches according to Ekman's six basic emotions – anger, disgust, fear, joy, sadness and surprise – I argue that members of parliament (MPs) strategically use emotions in their speeches to maximize their influence and visibility. The findings reveal modest but discernible effects related to electoral safety, seniority and party status. Specifically, the results show that speeches by electorally vulnerable, junior and opposition MPs contain higher levels of emotive language compared to those by other MPs. Notably, despite considerable similarity in the correlates of individual emotion categories, there are also significant differences. For example, opposition MPs and electorally vulnerable MPs rely more heavily on negative emotions such as anger, disgust, fear and sadness than government MPs and electorally safer MPs. While junior MPs use fear, sadness and surprise at higher rates compared to their senior counterparts, they are statistically indistinguishable from senior MPs in their use of anger, disgust and joy. Overall, these results underscore the need for greater scholarly attention to the communication styles of representatives in legislatures and emphasize the importance of examining the nuanced strategies behind the use of different types of emotions.
Persistent tissue‐specific resident microbiota in oysters across a broad geographical range
Authors: Unzueta‐Martínez Andrea , Bowen Jennifer 
Published: October 2024

AbstractMarine animals often harbour complex microbial communities that influence their physiology. However, strong evidence for resident microbiomes in marine bivalves is lacking, despite their contribution to estuarine habitats and coastal economies. We investigated whether marine bivalves harbour stable, resident microorganisms in specific tissues or if their microbiomes primarily consist of transient members reflecting the environmental microbial pool. Conducting a latitudinal study of wild eastern oysters (Crassostrea virginica) along the East Coast of the United States, we aimed to identify resident microorganisms that persist across a wide geographical range. Our results revealed that microbial communities in seawater and sediment samples followed latitudinal diversity patterns driven by geographic location. In contrast, oyster‐associated microbiomes were distinct from their surrounding environments and exhibited tissue‐specific compositions. Notably, oyster microbiomes showed greater similarity within the same tissue type across different geographic locations than among different tissue types within the same location. This indicates the presence of tissue‐specific resident microbes that persist across large geographical ranges. We identified a persistent set of resident microbiome members for each tissue type, with key microbial members consistent across all locations. These findings underscore the oyster host's role in selecting its microbiome and highlight the importance of tissue‐specific microbial communities in understanding bivalve‐associated microbiomes.
Plugging biologging into animal welfare: An opportunity for advancing wild animal welfare science
Authors: Beaulieu Michaël , Masilkova Michaela 
Published: October 2024

Abstract

Animal welfare science is currently expanding beyond its traditional boundaries, from captive animals to those living in the wild. This current development is conceptually and methodologically challenging, but it could benefit from adjacent and more established research fields. Among these fields, biologging appears to be a strong candidate, as most intrinsic, location and environmental variables collected through biologging approaches could be used to assess animal welfare in the wild.

To provide an objective view of the suitability of biologging to assess wild animal welfare, biologging was evaluated against the criteria that are currently recommended to assess animal welfare. This evaluation shows that biologging approaches could enhance animal welfare assessments in terms of completeness, informativeness and feasibility in the wild. However, their full implementation may be complicated by limitations in terms of validity, representativeness and disturbance, and by the different welfare perspectives taken by wildlife biologists using biologging approaches and animal welfare biologists.

To exploit the full potential that biologging approaches could offer to assess wild animal welfare, their current limitations need to be overcome. Towards this end, recommendations are explicitly provided to enhance the validity and the representativeness of biologging measurements as welfare indicators, while reducing disturbance. To increase the visibility and the impact of biologging studies examining wild animal welfare, we also encourage wildlife biologists using biologging approaches to adopt the same language and perspectives as those used by animal welfare biologists.

If current limitations are overcome, biologging is likely to be instrumental for the future study of animal welfare in the wild. Reciprocally, integrating animal welfare in biologging studies is expected to have a great impact on the whole biologging field by extending its current scope to a new and promising research area.
Time‐restricted feeding mediated modulation of microbiota leads to changes in muscle physiology in Drosophila obesity models
Authors: Livelo Christopher , Guo Yiming , Madhanagopal Jagathnarayan , Morrow Casey , Melkani Girish C. 
Published: October 2024

AbstractRecent research has highlighted the essential role of the microbiome in maintaining skeletal muscle physiology. The microbiota influences muscle health by regulating lipid metabolism, protein synthesis, and insulin sensitivity. However, metabolic disturbances such as obesity can lead to dysbiosis, impairing muscle function. Time‐restricted feeding (TRF) has been shown to mitigate obesity‐related muscle dysfunction, but its effects on restoring healthy microbiomes remain poorly understood. This study utilizes 16S microbiome analysis and bacterial supplementation to investigate the bacterial communities influenced by TRF that may benefit skeletal muscle physiology. In wild‐type and obese Drosophila models (axenic models devoid of natural microbial communities), the absence of microbiota influence muscle performance and metabolism differently. Specifically, axenic wild‐type Drosophila exhibited reduced muscle performance, higher glucose levels, insulin resistance, ectopic lipid accumulation, and decreased ATP levels. Interestingly, in obese Drosophila (induced by a high‐fat diet or predisposed obesity mutant Sk2), the absence of microbiota improved muscle performance, lowered glucose levels, reduced insulin resistance, and increased ATP levels. TRF was found to modulate microbiota composition, notably increasing Acetobacter pasteurianus (AP) and decreasing Staphylococcus aureus (SA) in both obesity models. Supplementation with AP improved muscle performance and reduced glucose and insulin resistance, while SA supplementation had the opposite effect. This study provides novel insights into the complex interactions between TRF, microbiota, and skeletal muscle physiology in different Drosophila models.
CIC/ATXN1‐rearranged tumors in the central nervous system are mainly represented by sarcomas: A comprehensive clinicopathological and epigenetic series
Authors: Tauziède‐Espariat Arnault , Ebrahimi Azadeh , Boddaert Nathalie , Pietsch Torsten , Grajkowska Wieslawa , Blau Tobias , Koch Arend , Sievers Philipp , Guillemot Delphine , Pierron Gaëlle , Uro‐Coste Emmanuelle , Nicaise Yvan , Siegfried Aurore , Gilles Adam , Bielle Franck , Mokhtari Karima , Cazals‐Hatem Dominique , Iakovlev Gueorgui , Lhermitte Benoît , Entz‐Werle Natacha , Csanyi Marie , Maurage Claude‐Alain , Legrand Victor , Boutonnat Jean , Godfraind Catherine , McLeer Anne , Hasty Lauren , Métais Alice , Aboubakr Oumaima , Blauwblomme Thomas , Beccaria Kévin , Dangouloff‐Ros Volodia , Varlet Pascale ,   The RENOCLIP‐LOC
Published: October 2024

AbstractCIC fusions have been described in two different central nervous system (CNS) tumor entities. On one hand, fusions of CIC or ATXN1 genes belonging to the same complex of transcriptional repressors, were reported in the CIC‐rearranged, sarcoma (SARC‐CIC). The diagnosis of this tumor type, which was recently added to the World Health Organization (WHO) Classification of CNS tumors, is difficult mainly because the data concerning its histopathology (as compared to its soft tissue counterpart), immunoprofile, and clinical as well as radiological characteristics are scarce in the literature. On the other hand, a recent study, based on DNA‐methylation profiling, has identified a novel high‐grade neuroepithelial tumor characterized by recurrent CIC fusions (HGNET‐CIC). The aim of this multicentric study was to characterize a cohort of 15 primary CNS tumors harboring a CIC or ATXN1 fusion in terms of clinical, radiological, histopathological, immunophenotypical, and epigenetic characteristics. According to the integrated diagnoses, 14/15 tumors corresponded to SARC‐CIC, and only one to HGNET‐CIC. The tumors showed similar clinical (mainly pediatric), radiological (mostly supratentorial, cystic, and contrast enhancing), immunophenotypical (common expression of glioneuronal markers), and genetic (similar spectrum of fusions) profiles but their histopathological appearance was clearly distinct. Moreover, we found a novel fusion transcript (CIC::EWSR1) in a SARC‐CIC. Most DNA methylation profiles using the Heidelberg Brain Tumor Classifier (v12.8) annotated the samples to the methylation class “SARC‐CIC” (9/14 tumors with available data). By using uniform manifold approximation and projection analysis, four other samples were classified as SARC‐CIC and another clustered within the methylation class of HGNET‐CIC. Our findings confirm that CNS CIC‐fused tumors do not represent a single molecular tumor entity. Further analyses are needed to characterize HGNET‐CIC in more detail. These results may help to refine the essential diagnostic criteria for SARC‐CIC and their terminology (with a suggested consensual name of sarcoma, CIC/ATXN1‐complex rearranged).
Tropisetron, an Antiemetic Drug, Exerts an Anti‐Epileptic Effect Through the Activation of α7nAChRs in a Rat Model of Temporal Lobe Epilepsy
Authors: Qian Xu , Sheng Xinwen , Ding Jiqiang , Yiming Zulipiya , Zheng Jingjun , Zhong Jiagui , Zhang Tengyue , Li Xuemei , He Shuqiao , Li Wei , Zhang Mei 
Published: October 2024

ABSTRACTBackgroundTemporal lobe epilepsy (TLE), a prevalent chronic neurological disorder, affects millions of individuals and is often resistant to anti‐epileptic drugs. Increasing evidence has shown that acetylcholine (ACh) and cholinergic neurotransmission play a role in the pathophysiology of epilepsy. Tropisetron, an antiemetic drug used for chemotherapy in clinic, has displayed potential in the treatment of Alzheimer's disease, depression, and schizophrenia in animal models. However, as a partial agonist of α7 nicotinic acetylcholine receptors (α7nAChRs), whether tropisetron possesses the therapeutic potential for TLE has not yet been determined.MethodsIn this study, tropisetron was intraperitoneally injected into pilocarpine‐induced epileptic rats for 3 weeks. Alpha‐bungarotoxin (α‐bgt), a specific α7nAChR antagonist, was applied to investigate the mechanism of tropisetron. Rats were assessed for spontaneous recurrent seizures (SRS) and cognitive function using video surveillance and Morris's water maze testing. Hippocampal impairment and synaptic structure were evaluated by Nissl staining, immunohistochemistry, and Golgi staining. Additionally, the levels of glutamate, γ‐aminobutyric acid (GABA), ACh, α7nAChRs, neuroinflammatory cytokines, glucocorticoids and their receptors, as well as synapse‐associated protein (F‐actin, cofilin‐1) were quantified.ResultsThe results showed that tropisetron significantly reduced SRS, improved cognitive function, alleviated hippocampal sclerosis, and concurrently suppressed synaptic remodeling and the m6A modification of cofilin‐1 in TLE rats. Furthermore, tropisetron lowered glutamate levels without affecting GABA levels, reduced neuroinflammation, and increased ACh levels and α7nAChR expression in the hippocampi of TLE rats. The effects of tropisetron treatment were counteracted by α‐bgt.ConclusionIn summary, these findings indicate that tropisetron exhibits an anti‐epileptic effect and provides neuroprotection in TLE rats through the activation of α7nAChRs. The potential mechanism may involve the reduction of glutamate levels, enhancement of cholinergic transmission, and suppression of synaptic remodeling. Consequently, the present study not only highlights the potential of tropisetron as an anti‐epileptic drug but also identifies α7nAChRs as a promising therapeutic target for the treatment of TLE.
Differential Nasal Recolonization and Microbial Profiles in Chronic Rhinosinusitis With Nasal Polyps Patients After Endoscopic Sinus Surgery or Dupilumab Treatment: A Prospective Observational Study
Authors: Maniaci Antonino , Vertillo Aluisio Gaia , Stefani Stefania , Cocuzza Salvatore , Lechien Jerome Rene , Radulesco Thomas , Michel Justin , Santagati Maria , La Mantia Ignazio 
Published: October 2024

ABSTRACTIntroductionThe role of microbial profiles in Chronic Rhinosinusitis with Nasal Polyps (CRSwNP) pathogenesis is increasingly recognised, with microbial imbalances perpetuating inflammation. We performed this study to associate the different nasal microbiological profile changes with the response to surgical or monoclonal treatment.MethodsThis prospective observational study evaluated changes in the nasal microbial profiles of 44 patients (22 dupilumab, 22 surgery) over 6 months. Clinical assessments were performed at baseline and follow‐ups, including Sino‐Nasal Outcome Test‐22 (SNOT‐22) scores and Sniffin Sticks‐Identification (SS‐I) olfactory testing. Microbial profiling of nasal swabs was carried out by microbial culture and subsequent molecular identification by Polymerase chain reaction (PCR) and sequencing.ResultsBaseline characteristics of 44 patients (22 dupilumab, 22 surgery) enrolled in this study were similar between groups. In the dupilumab group, Staphylococcus epidermidis prevalence rose from 37.03% to 59.25%, while Pseudomonas aeruginosa was eradicated. Moreover, dupilumab stabilised Staphylococcus aureus at 63.64%, while its prevalence increased in the surgery group (from 22.72% to 50%). When bacterial groups were associated with clinical scores, P. aeruginosa carriers had worse SNOT‐22 (21.00 ± 1.41) and SS‐I (5.50 ± 0.71) scores. Instead, S. epidermidis‐colonised patients exhibited significantly lower mean SNOT‐22 (15.39 ± 8.54) and greater SS‐I scores (8.39 ± 3.77). The best outcomes were found in the subgroup of S. epidermidis carriers undergoing the dupilumab treatment.ConclusionThe two treatments modulated the microbial profiles differently, and, most importantly, clinical responses might depend on the association between treatment and the dominant bacterial species colonising the nasal cavity. Further investigation into microbial‐restorative strategies could enhance outcomes for better treatment of CRS.
Comprehensive analysis of feature‐algorithm interactions for fall detection across age groups via machine learning
Authors: Kavuncuoğlu Erhan 
Published: October 2024

AbstractFall detection in daily activities hinges on both feature selection and algorithm choice. This study delves into their intricate interplay using the Sisfall dataset, testing 10 machine learning algorithms on 26 features encompassing diverse falls and age groups. Individual feature analysis yields key insights. RFC with the autocorrelation feature outperformed the other classifiers, achieving 97.94% accuracy and 97.51% sensitivity (surpassing F3‐SVM at 96.18% and F17‐LightGBM at 95.79%). The F3‐SVM exhibited exceptional specificity (98.72%) for distinguishing daily activities. Time‐series features employed by SVM achieved a peak accuracy of 98.60% on unseen data, exceeding motion, basic statistical, and frequency domain features. Feature combinations further excel: the Quintuple approach, fusing top‐performing features, reaches 98.69% accuracy, 98.28% sensitivity, and 99.08% specificity with the ETC, demonstrating notable sensitivity owing to its adaptability. This study underscores the crucial interplay of features and algorithms, with the Quintuple‐ETC approach emerging as the most effective. Rigorous hyperparameter tuning strengthens its performance in real‐world fall‐detection applications. Furthermore, the study investigates algorithm transferability, training models on young participants' data and applying them to the elderly—a significant challenge in machine learning. This highlights the importance of understanding the data transfer between age groups in healthcare, aging management, and medical diagnostics.