bluuebunny/crossref_metadata_2025_split huggingface dataset:
Information technology capabilities: a bibliometric vision of the conceptual and intellectual structures and the past and future research directions
Authors: Marchiori Danilo Magno , Rodrigues Ricardo José de Ascensão Gouveia , Mainardes Emerson Wagner , Popadiuk Silvio 
Published: October 2024

Purpose
Scientific production on the topic of information technology (IT) capabilities grows each year, leading researchers working in the field into difficulties to keep abreast of the new research flows, as well as to know the intellectual and conceptual structures that sustain the area. Thus, this study aims to present the result of the application of a quantitative approach on the international scientific production on the subject.

Design/methodology/approach
Several complementary bibliometric techniques were combined, such as keywords co-occurrence, bibliographic coupling and cocitation analysis. Considering that the bibliometric research support software currently available to the academic community has strengths and weaknesses, the present study uses three recent tools of analysis (VOSviewer, SciMAT and Bibliometrix), to explore the best that each can offer.

Findings
The authors analyzed 219 scientific papers available on the Web of Science. The authors identify the origins of the current literature on IT capabilities, as well as its foundations and main intellectual and conceptual structures, including a longitudinal view of the development of the theme. The paper also presents the main research fronts in the field, as well as several opportunities that can contribute to the advancement of research involving IT capabilities.

Originality/value
The fundamental themes for structuring the whole of the scientific production on IT capabilities, which had a higher level of development and connection with external research flows, are organizational performance, strategic management, resource and value-based view. Thus, future researchers will find underlying literature on IT capabilities in the context of business a rich and varied literature involving these major themes.
Time‐lapse inversion of self‐potential data through particle filtering
Authors: Cui Yi‐An , Peng Yuankang , Xie Jing 
Published: October 2024

AbstractIn environmental sciences, comprehending the movement of subsurface contaminants is crucial for formulating effective remediation measures. The self‐potential (SP) method has become a common tool for delineating landfill contamination plumes. Contaminant diffusion or migration represents dynamic processes, with corresponding SP responses evolving over time. However, conventional SP interpretation approaches have predominantly relied on static single‐frame inversion, overlooking the temporal correlation in time‐series SP data and resulting in cumulative errors. To tackle this challenge, we introduce a novel method for time‐lapse inversion of SP data leveraging particle filtering. This approach recursively refines the priori state model through posteriori observations to achieve precise estimations of dynamic models. Specifically, a spherical polarization model is deployed to establish the state equations of underground contaminant diffusion and transport models, whereas the observation model is derived through forward modeling. The proposed method is validated using two synthetic examples and one lab‐measured dataset. The findings demonstrate the efficacy of the time‐lapse inversion algorithm in precisely estimating dynamic models, outperforming static single‐frame inversion based on the particle swarm optimization algorithm. The posteriori distribution of particles approximates a bell‐shaped distribution, with the true state closely positioned near the peak probability. Therefore, we affirm that conducting time‐lapse inversion of time‐series SP data through particle filtering is an effective and dependable approach for accurately estimating dynamic model states.
Mapping pathogenic fungi in decayed Norway spruce stands: Insights from harvester positional data
Authors: Lara Wilson , Astrup Rasmus , Hietala Ari M. , Maleki Kobra , Belbo Helmer , Antón‐Fernández Clara 
Published: October 2024

Abstract

Root and butt rot caused by pathogenic fungi in the genera Heterobasidion and Armillaria is a pressing issue in managed Norway spruce forests. The disease results in financial losses for the forest owners and reduces the volume of wood that can be used in long‐lived products. Pathogenic wood decay fungi spread either with the aid of airborne spores or via mycelial growth among neighbouring trees, the latter leading to clustering (tendency of decayed trees to be in close proximity relative to their neighbouring trees) of decay‐affected trees in forests. Understanding the spatial patterns of the decay‐affected trees at the forest stand level is vital for designing management strategies to address this problem.

We examined decay clustering in 273 clear‐cut Norway spruce stands in Norway using harvester‐recorded data on spatial occurrence of decayed and healthy Norway spruce trees. We tested clustering using three global‐cluster tests that account for population density and distribution, evaluating clustering without identifying specific cluster locations.

The proportions of clustered and non‐clustered stands differed depending on the statistical test used for clustering assessment, resulting in overall agreement of 32.8% for clustered and 36.9% for non‐clustered. Clustered stands exhibited a median cluster distance (maximum distance between the decay‐affected trees within a cluster) of 12 m (Inter‐Quantile Range, IQR, 6–20 m) and a median of 6 (IQR 3–16) nearest neighbour trees (number of decayed trees forming a cluster), estimates comparable with prior studies focused on assessment of trees infected by mycelial spread of the same fungal individual. The decay incidence in the clustered stands was 16.24%, while the non‐clustered stands had a butt‐rot incidence of 20.97%. In clustered stands the average number of trees per hectare was higher (693) than in non‐clustered stands (553).

Synthesis and applications: Our study demonstrates that Norway spruce stands display a diverse range of spatial patterns of butt rotted trees. We found that higher densities of Norway spruce trees probably facilitate the vegetative spread of pathogenic wood decay fungi, leading to clustering of decay‐affected trees. To disrupt the spread of decay fungi between tree generations, precision planting of trees other than Norway spruce around infested stumps of prior generation trees has been recommended by earlier studies. We discussed the potential of using harvester‐derived geoposition data for butt‐rotted trees upon planning and execution of forest regeneration.
Climate change and exotic pathogens shift carbon allocation in Mediterranean mixed forests
Authors: Gaytán Álvaro , Matías Luis , Godoy Óscar , Pérez‐Ramos Ignacio M. , Homet Pablo , Moreira Xoaquín , Gómez‐Aparicio Lorena 
Published: October 2024

Abstract

Forecasting the effects of global change drivers on ecosystems is one of the most pressing challenges for scientists worldwide. Particularly, climate change and exotic pathogens might have a large impact on plant community dynamics and ecosystem functioning through changes in carbon uptake and sinks. Nevertheless, we still have a poor understanding of the combined effects of these two drivers on plant communities.

Here, we explored the impact of rainfall reduction and exotic pathogens on the carbon balance of Mediterranean tree species. For this, we performed a 3‐year field experiment taking advantage of rainfall exclusion infrastructures (30% exclusion) installed in the southernmost European oak forests invaded by the aggressive exotic pathogen Phytophthora cinnamomi. We measured a set of 10 variables representative of tree carbon sources (photosynthetic rates) and sinks (primary production, reproduction, defence, and reserves) in adult trees of three species in two forest types: closed forests of Quercus suber and Q. canariensis, and open woodlands of Q. suber and Olea europaea.

We found a large variability in the sensitivity of the different carbon sources and sinks to the effects of drought and pathogens, from variables highly sensitive to both factors (carbon fixation and reproduction, root chemistry) to variables only responsive to drought (litter production) or totally unresponsive (tree trunk, leaf chemistry). Although negative effects predominated, positive effects of rainfall exclusion were also detected in wet years, likely due to a reduction of pathogen abundance in drier soil. Trade‐offs between carbon sinks appeared in all tree species, but rainfall exclusion only modified trade‐offs in Q. suber, the species most susceptible to P. cinnamomi.

Synthesis. We provide evidence on the complexity of the combined effects of abiotic (drought) and biotic (pathogens) global change drivers on carbon source and sinks of adult trees, including both negative direct effects and positive indirect effects. Our results showed that these effects varied among co‐existing species, particularly for carbon sinks directly related to tree demography (reproduction). Therefore, long‐term changes in the structure of Mediterranean mixed forests might be expected towards the dominance of species highly resistant to both drought and pathogens.
Value‐added utilization technologies for seaweed processing waste in a circular economy: Developing a sustainable modern seaweed industry
Authors: Liu Chunhui , Gao Jiale , Jiang Hong , Sun Jianan , Gao Xin , Mao Xiangzhao 
Published: October 2024

AbstractThe global seaweed industry annually consumes approximately 600,000 tons of dried algal biomass to produce algal hydrocolloids, yet only 15–30% of this biomass is utilized, with the remaining 70–85% discarded or released as scum or wastewater during the hydrocolloid extraction process. This residual biomass is often treated as waste and not considered for further commercial use, which contradicts the principles of sustainable development. In reality, the residual algal biomass could be employed to extract additional biochemical components, such as pigments, proteins, and cellulose, and these ingredients have important application prospects in the food sector. According to the biorefinery concept, recycling various products alongside the principal product enhances overall biomass utilization. Transitioning from traditional single‐product processes to multi‐product biorefineries, however, raises operating costs, presenting a significant challenge. Alternatively, developing value‐added utilization technologies that target seaweed waste without altering existing processes is gaining traction among industry practitioners. Current advancements include methods such as separation and extraction of residual biomass, anaerobic digestion, thermochemical conversion, enzymatic treatment, functionalized modification of algal scum, and efficient utilization through metabolic engineering. These technologies hold promise for converting seaweed waste into alternative proteins, dietary supplements, and bioplastics for food packaging. Combining multiple technologies may offer the most effective strategy for future seaweed waste treatment. Nonetheless, most research on value‐added waste utilization remains at the laboratory scale, necessitating further investigation at pilot and commercial scales.
Innovative omics strategies in fermented fruits and vegetables: Unveiling nutritional profiles, microbial diversity, and future prospects
Authors: Li Yuhao , He Weiwei , Liu Shuai , Hu Xiaoyi , He Yuxing , Song Xiaoxiao , Yin Junyi , Nie Shaoping , Xie Mingyong 
Published: October 2024

AbstractFermented fruits and vegetables (FFVs) are not only rich in essential nutrients but also contain distinctive flavors, prebiotics, and metabolites. Although omics techniques have gained widespread recognition as an analytical strategy for FFVs, its application still encounters several challenges due to the intricacies of biological systems. This review systematically summarizes the advances, obstacles and prospects of genomics, transcriptomics, proteomics, metabolomics, and multi‐omics strategies in FFVs. It is evident that beyond traditional applications, such as the exploration of microbial diversity, protein expression, and metabolic pathways, omics techniques exhibit innovative potential in deciphering stress response mechanisms and uncovering spoilage microorganisms. The adoption of multi‐omics strategies is paramount to acquire a multidimensional network fusion, thereby mitigating the limitations of single omics strategies. Although substantial progress has been made, this review underscores the necessity for a comprehensive repository of omics data and the establishment of universal databases to ensure precision in predictions. Furthermore, multidisciplinary integration with other physical or biochemical approaches is imperative, as it enriches our comprehension of this intricate process.
Ultra‐processed vegan foods: Healthy alternatives to animal‐source foods or avoidable junk?
Authors: Estévez Mario , Arjona A. , Sánchez‐Terrón G. , Molina‐Infante J. , Martínez R. 
Published: October 2024

AbstractAnimal‐source foods (ASFs), namely, meat, milk, eggs, and derived products, are crucial components of a well‐balanced diet owing to their contribution with multiple essential nutrients. The benefits of the consumption of ASFs in terms of hedonic responses, emotional well‐being, and mood are also widely documented. However, an increasing share of consumers decide to exclude ASFs from their diets. Some of these vegan consumers are inclined to consume so‐called “meat” and/or “dairy analogs,” which are produced from plant materials (soy, wheat, and oat, among others). In order to simulate appearance, texture, and flavor of ASFs, these industrial vegan foods are designed using an intricate formulation and industrial processing, which justifies their identification as ultraprocessed foods (UPFs). While the introduction of these processed vegan products is becoming popular in developed countries, the consequences of the sustained intake of these products on human health are mostly ignored. Contrarily to common belief, which emphasizes their role as “healthy” alternatives to ASFs, these plant‐based UPFs may enclose certain threats, which are reviewed in the present paper. The remarkable differences between vegan UPFs and the genuine ASFs (meat/dairy products) from sensory, nutritional, hedonic, or health perspectives precludes the designation of the former as analogs of the latter. Understanding the basis of these differences would contribute to (i) providing consumers with grounds to make reasoned decisions to consume meat/dairy products and/or the vegan alternatives and (ii) providing food companies with strategies to produce more appealing, nutritive, and healthy industrially processed vegan products.
Bidirectional associations between sleep and cannabis and alcohol (co‐)use in daily life
Authors: Wycoff Andrea M. , Miller Mary Beth , Trull Timothy J. 
Published: October 2024

AbstractBackgroundPoor sleep is common in the context of cannabis use, but experimental and daily‐life studies provide mixed evidence for whether cannabis use helps or disturbs same‐night sleep. Despite a high prevalence of co‐use of alcohol and cannabis, most studies of cannabis use and sleep do not consider alcohol use. We sought to add to this literature by examining associations between cannabis and sleep in the context of alcohol co‐use and to examine these associations bidirectionally using ecological momentary assessment.MethodsParticipants were 88 adults reporting cannabis use at least 3×/week and simultaneous alcohol and cannabis use at least 2×/week. For 14 days, participants completed morning surveys assessing hours slept and perceived sleep quality from the night before. In morning surveys, random surveys, and substance‐specific surveys, participants also reported on alcohol and cannabis craving, use, and amounts.ResultsPrimary results from multilevel models demonstrated that cannabis use was not independently associated with sleep (duration or quality). However, cannabis use attenuated alcohol's negative effects on sleep quality.ConclusionsResults question the utility of cannabis use to improve sleep but highlight the attenuated negative effects of alcohol as a potential reinforcer of alcohol‐cannabis co‐use. Future work should continue to consider polysubstance use and integrate additional self‐report and objective measures of sleep health to further clarify how cannabis use affects sleep.
The risk of diabetes and HbA1c deterioration during antipsychotic drug treatment: A Danish two‐cohort study among patients with first‐episode schizophrenia
Authors: Madsen Nanna M. , Sørensen Marc A. , Danielsen Andreas A. , Højlund Mikkel , Rohde Christopher , Köhler‐Forsberg Ole 
Published: October 2024

AbstractBackgroundAntipsychotics increase the risk of developing diabetes, but clinical trials are not generalizable with short follow‐up, while observational studies often lack important information, particularly hemoglobin A1c (HbA1c).MethodsWe followed two Danish cohorts with schizophrenia. First, using Danish nationwide registers, we identified all individuals diagnosed with first‐episode schizophrenia (FES) between 1999 and 2019 (n = 31,856). Exposure was a redeemed prescription for an antipsychotic, and the outcome was diabetes, defined via hospital‐based diagnosis and redeemed prescriptions for glucose‐lowering drugs. Adjusted Cox regression calculated hazard rate ratios (HRR). Second, using data from the Central Denmark Region, we identified all individuals diagnosed with FES from October 2016 to September 2022 (n = 2671). Using a within‐subject design, we analyzed the change in HbA1c during the 2 years after initiation of specific antipsychotics compared to the 2 years before.ResultsIn the nationwide cohort, 2543 (8.0%) individuals developed diabetes (incidence rate = 9.39 [95% CI = 9.03–9.76] per 1000 person‐years). Antipsychotics, compared to periods without, were associated with an increased risk of developing diabetes (HRR = 2.04, 95% CI = 1.75–2.38). We found a dose–response association, particularly for second‐generation antipsychotics, and different risk rates for specific antipsychotics. In the Central Denmark Region cohort, a total of 9.2% developed diabetes but mean HbA1c levels remained stable at 37 mmol/mol during the 2 years after initiation of antipsychotic medication.ConclusionThis comprehensive real‐world two‐cohort study emphasizes that diabetes affects almost 10% of patients with FES. Antipsychotics increase this risk, while HbA1c deterioration requires longer treatment. These findings are important for clinicians and young patients with FES.
The glucagon‐like peptide‐1 and other endocrine responses to alcohol ingestion in women with versus without metabolic surgery
Authors: Molina‐Castro Mariel , Seyedsadjadi Neda , Nieto Danisa , Leggio Lorenzo , Rowitz Blair , Pepino Marta Yanina 
Published: October 2024

AbstractGlucagon‐like peptide‐1 (GLP‐1)‐based therapies, effective in treating obesity and type 2 diabetes, hold potential for reducing alcohol‐seeking behaviour. However, the understanding of how alcohol consumption affects endogenous GLP‐1 responses—important for understanding GLP‐1‐based therapies' potential in addressing alcohol misuse—is limited, given the absence of placebo‐controlled studies examining these effects. This study aimed to determine the acute effects of alcohol ingestion on GLP‐1 and other peptides and evaluate whether metabolic surgery, which increases GLP‐1 responses, blood alcohol concentrations (BAC) and alcohol misuse risk, influences this effect. Additionally, we assessed the acute effects of alcohol on plasma glucose and insulin concentrations. Using a placebo‐controlled crossover study, we examined hormonal and glucose responses after oral alcohol consumption (0.5 g/kg of fat‐free mass) versus placebo drinks in 18 women who underwent metabolic surgery <5 years ago and in 14 non‐operated controls (equivalent in age, body mass index [BMI], race and alcohol consumption patterns). Women had a mean (SD) age of 41 (10) years and a BMI of 33 (5) kg/m2. Compared with the control group, the surgery group exhibited a higher peak BAC (0.99 [0.20] g/L vs. 0.75 [0.16] g/L; P < 0.005). Alcohol decreased GLP‐1 by 34% (95% CI, 16%–52%) in both groups and decreased ghrelin more in the control (27%) than in the surgery group (13%). Alcohol modestly decreased plasma glucose and transiently increased insulin secretion in both groups (P < 0.05). However, alcohol lowered blood glucose concentrations to the hypoglycaemic range in 28% of the women in the surgery group versus none in the control group. These findings provide compelling evidence that acute alcohol consumption decreases GLP‐1, a satiation signal, elucidating alcohol's ‘apéritif’ effect. This study also highlights the potential increase in alcohol‐related hypoglycaemic effects after metabolic surgery.
Genetic analyses of a large consanguineous south Indian family reveal novel variants in NAGPA and four hitherto unreported genes in developmental stuttering
Authors: Nandhini Devi G. , Yadav Navneesh , Jayashankaran Chandru , Margret Jeffrey Justin , Krishnamoorthy Mathuravalli , Lakshmi A Sorna , Sundaram Chandralekha Meenakshi , Karthikeyan N. P. , Thelma B. K. , Srisailapathy C. R. Srikumari 
Published: October 2024

AbstractBackgroundDevelopmental stuttering, a multifactorial speech disorder with remarkable rate of spontaneous recovery pose challenges for gene discoveries. Exonic variants in GNPTAB, GNPTG, and NAGPA involved in lysosomal pathway and AP4E1, IFNAR1, and ARMC3‐signaling genes reported till date explain only ∼2.1% – 3.7% of persistent stuttering cases.AimWe aimed to identify additional genetic determinants of stuttering in a multiplex family by exome sequencing (n = 27) and further validation on additional extended family members (n = 21).Materials & MethodsWe employed hypothesis‐free and pathway‐based analyses.ResultsA novel heterozygous exonic variant NM_016256.4:c.322G > A in NAGPA with reduced penetrance and predicted pathogenicity segregated with the phenotype in a large subset of the family. Reanalysis to identify additional disease‐causing variant(s) revealed exonic heterozygous variants each in RIMS2 and XYLT1 in severely affected members; and IGF2R variant in a small subset of the family. Furthermore, pathway‐based analysis uncovered NM_022089.4:c.3529G > A in ATP13A2 (PARK9) in affected members; and variants in GNPTAB and GNPTG of minor significance in a few affected members.DiscussionGenotype–phenotype correlation efforts suggest that the combined effect of gene variants at multiple loci or variants in a single gene in different subsets of the pedigree (genetic heterogeneity) may be contributing to stuttering in this family. More importantly, variants identified in ATP13A2, a Parkinson's disease gene also implicated in lysosomal dysfunction, and RIMS2 suggests for the first time a likely role of dopamine signaling in stuttering.ConclusionScreening for these variants in independent stuttering cohorts would be astute.