bluuebunny/crossref_metadata_2025_split huggingface dataset:
Global Greenhouse Gas Emissions From Agriculture: Pathways to Sustainable Reductions
Authors: Li Lidong , Awada Tala , Shi Yeyin , Jin Virginia L. , Kaiser Michael 
Published: December 2024

ABSTRACTAgriculture serves as both a source and a sink of global greenhouse gases (GHGs), with agricultural intensification continuing to contribute to GHG emissions. Climate‐smart agriculture, encompassing both nature‐ and technology‐based actions, offers promising solutions to mitigate GHG emissions. We synthesized global data, between 1990 and 2021, from the Food and Agriculture Organization (FAO) of the United Nations to analyze the impacts of agricultural activities on global GHG emissions from agricultural land, using structural equation modeling. We then obtained predictive estimates of agricultural GHG emissions for the future period of 2022–2050 using deep‐learning models. The FAO data show that, from 1990 to 2021, global livestock numbers, inorganic nitrogen (N) fertilizer use, crop residue, and irrigation area increased by 27%, 47%, 49%, and 37%, respectively. The increased livestock numbers contributed to the increases in CH4 and N2O emissions, while inorganic N fertilizer, crop residue, and irrigation mainly contributed to the increases in N2O emissions. Emissions of CO2 decreased because of a 29% reduction in net forest loss. As a result of the reduced deforestation emissions, the overall agricultural GHG emissions declined from 11.50 to 10.89 GtCO2eq from 1990 to 2021 despite the increases in livestock numbers, inorganic N fertilizer, crop residue, and irrigation. Looking ahead, our model predicts that if current agricultural trends persist, GHG emissions will rise to 11.82 ± 0.07 GtCO2eq in 2050. However, maintaining agricultural GHG emissions at the 2021 level through 2050 is possible if the rate of reduction in net forest loss is doubled. Furthermore, if the rate is tripled, agricultural GHG emissions can be limited to 9.85 ± 0.07 GtCO2eq in 2050. Our findings suggest that reductions in agricultural GHG emissions, alongside sustainable agricultural intensification and climate‐smart agricultural practices, can be achieved through parallel efforts emphasizing accelerated forest conservation.
Vestibular Migraine Patient Assessment Tool and Handicap Inventory (VM‐PATHI) : A narrative review
Authors: Sharifi Alireza , Kouhi Ali , Steenerson Kristen K. , Sharon Jeffrey D. 
Published: December 2024

AbstractBackgroundVestibular migraine (VM) has a wide range of clinical presentations that can have a significant negative impact on quality of life. Currently, there is no objective test available to confirm the diagnosis or measure the severity of VM. The only available tools for assessing disease severity are patient‐reported outcome measures (PROMs), such as the Dizziness Handicap Inventory (DHI).ObjectiveThis manuscript aims to summarize the current knowledge about a newly developed PROM called the Vestibular Migraine Patient Assessment Tool and Handicap Inventory (VM‐PATHI).MethodsA comprehensive search was conducted across the Web of Science, Scopus, PubMed, and Google Scholar databases up to February 2024, using the keywords “Vestibular migraine,” “VM‐PATHI,” and “Patient‐Reported Outcome Measure.” Only studies involving human participants were included, and no additional restrictions were applied. The reference lists of included studies were also reviewed to identify other eligible studies. The main outcome of interest was the evaluation of VM‐PATHI in patients with VM.ResultsThe VM‐PATHI is a 25‐item questionnaire divided into six sections: headache equivalents, motion sensitivity, anxiety, cognition, disequilibrium/central audiovestibular disturbance, and emotion/sense of being overwhelmed. This tool has demonstrated good face and content validity, discriminant validity, responsiveness, test–retest reliability, and internal reliability (Cronbach's α: 0.92). Patients with VM are likely to show clinical improvement in symptoms if their VM‐PATHI scores decrease by ≥6 points. Additionally, VM‐PATHI has shown a good correlation with clinical improvement across various treatment modalities.ConclusionThe VM‐PATHI may provide advantages over other PROMs by measuring a wider spectrum of disease‐specific effects of VM. Scores are correlated with the DHI, dizzy days per month, and other quality of life metrics.
Association of periodontitis and periodontal parameters with migraine and mortality in people with migraine disease: A nationally representative observational study
Authors: Yan Lingjun , Huang Yu , Xie Bingqin , Liu Zilin , Luo Lan , He Baochang , Ding Chenyu , Fang Wenhua , Lin Yuanxiang , Kang Dezhi , Chen Fa 
Published: December 2024

AbstractObjectiveTo investigate the association of periodontitis and clinical periodontal parameters with migraine as well as mortality among people with migraine disease.BackgroundPeriodontitis has been shown to increase the systemic inflammatory burden thereby promoting various systemic health outcomes; however, the evidence regarding the relationship between periodontitis and migraine is scarce.MethodsA cross‐sectional study was performed, and it included 13,108 participants from the National Health and Nutrition Examination Survey (1999–2004). Weighted logistic regression analysis was used to evaluate the association between periodontitis/clinical periodontal parameters and migraine. Mediation analysis was performed to explore the potential mediating role of inflammatory response. A cohort study including 1909 participants with migraine disease was further conducted to assess the associations between periodontitis/clinical periodontal parameters and mortality from all causes, cardiovascular disease (CVD), and cancer in participants with migraine disease using Cox proportional hazards models. Death outcomes were ascertained by linkage to National Death Index records through December 31, 2018.ResultsPeriodontitis was positively associated with migraine (odds ratio [OR] 1.29, 95% confidence interval [CI] 1.01–1.65). Each 1‐unit rise in attachment loss and pocket depth was linked to a 17.5% (OR 1.18, 95% CI 1.08–1.29) and 28.1% (OR 1.28, 95% CI 1.08–1.51) increase in migraine risk, respectively. Mediation analyses revealed that leukocyte, monocyte, and lymphocyte counts mediated 17.9%, 7.3%, and 20.1%, respectively, of the association between periodontitis and migraine. During a median follow‐up of 17.7 years among 1909 participants with migraine disease, periodontitis was associated with greater all‐cause mortality (hazard ratio 1.82, 95% CI 1.25–2.66), but was not significantly associated with mortality from CVD or cancer among participants with migraine disease. Similar association patterns were also observed for attachment loss and pocket depth.ConclusionsThis study provides evidence that periodontitis and clinical periodontal parameters were significantly associated with migraine as well as all‐cause mortality in people with migraine disease. These findings underscore the importance of considering periodontal health in the prevention and management strategies for migraine disease.
Patient‐Centricity in the Pharmaceutical Industry: A Review and Research Agenda
Authors: Fleissig Jordan , Delcourt Cécile , Steils Nadia 
Published: December 2024

ABSTRACTThe concept of patient‐centricity has gained much attention in the healthcare ecosystem in the past few decades. While most healthcare stakeholders have embraced this model of placing the patient at the center of their focus, pharmaceutical companies have only started to adopt patient‐centricity more recently. To date, the literature on patient‐centricity in the pharmaceutical industry has focused on isolated initiatives, departments, or processes, leading to a fragmented view of the concept. To address this gap, this article conducts a systematic literature review of 46 peer‐reviewed articles from the Scopus database. This study uses the “Theory, Context, and Methodology” and “Antecedents, Decisions, and Outcomes” frameworks to organize and structure the literature review. This article offers a comprehensive framework and definition of the concept of patient‐centricity in the pharmaceutical industry and concludes with a research agenda to address the gaps. This study provides a unified understanding of patient‐centricity and guides future research to develop it further while providing practitioners from the pharmaceutical industry with a framework of initiatives to shift toward patient‐centricity.
Electroencephalography Studies on Marketing Stimuli: A Literature Review and Future Research Agenda
Authors: Alsharif Ahmed H. , Isa Salmi Mohd 
Published: December 2024

ABSTRACTThis study aims to explore the application of electroencephalography (EEG) tools in examining latent consumer behavior, emphasizing emotions, attention, preferences, memory, and decision‐making in response to various marketing stimuli (e.g., products, pricing, branding, and advertising). This study adopts a thematic review approach, employing a systematic literature review methodology (e.g., Preferred Reporting Items for Systematic Reviews and Meta‐Analyses [PRISMA] protocol). Our investigation unearthed 155 articles from the Scopus and Web of Science databases, spanning 2010–2023. The findings reveal a marked increase in EEG‐related research, underscoring its effectiveness in examining consumers' reactions to marketing stimuli. This rise reflects a growing recognition among researchers of EEG's ability to address marketing research challenges, particularly in advertising, product development, branding, and pricing. EEG research predominantly targets advertising, followed by products, branding, and pricing, and delves deeply into consumer behavior aspects such as emotional, cognitive, and decision‐making processes. The study further highlights EEG's cutting‐edge potential to predict ad success, optimize product features, and refine pricing strategies with unprecedented accuracy. Specifically, emotion‐based ads profoundly influence decision‐making, offering novel insights into consumers' emotional engagement. This study emphasizes EEG's groundbreaking role in minimizing verbal biases and revealing consumer behavior, which is increasingly recognized as critical for developing more effective marketing strategies. This review underscores EEG's theoretical and practical contributions and offers pioneering insights into marketing effectiveness and consumer engagement. Future research should expand on these findings, exploring product neurodesign and social neuroscience to push the frontiers of consumer behavior analysis.
Interactions of NK Cells and Macrophages: From Infections to Cancer Therapeutics
Authors: Hooda Vishakha , Sharma Alpana 
Published: December 2024

ABSTRACTThe interaction between immune cells brings a consequence either on their role and functioning or the functioning of the other immune cells, modulating the whole mechanistic pathway. The interaction between natural killer (NK) cells and macrophages is one such interaction which is relatively less explored amongst diseased conditions. Their significance comes from their innate nature and secretion of large proportions of cytokines and chemokines which results in influencing adaptive immune responses. Their interplay can lead to several functional outcomes such as NK cell activation/inhibition, increased cytotoxicity and IFNγ release by NK cells, inhibition of macrophage function, etc. This paper delves into the interaction amongst NK cells and macrophages via different receptor‐ligands and cytokines, particularly emphasising microbial infections and tumours. The review has the potential to uncover new insights and approaches that could lead to the development of innovative therapeutic tools and targets.
Biophysical and Structural Features of αβT‐Cell Receptor Mechanosensing: A Paradigmatic Shift in Understanding T‐Cell Activation
Authors: Mallis Robert J. , Brazin Kristine N. , Duke‐Cohan Jonathan S. , Akitsu Aoi , Stephens Hanna M. , Chang‐Gonzalez Ana C. , Masi Daniel J. , Kirkpatrick Evan H. , Holliday Elizabeth L. , Feng Yinnian , Zienkiewicz Katarzyna J. , Lee Jonathan J. , Cinella Vincenzo , Uberoy Kaveri I. , Tan Kemin , Wagner Gerhard , Arthanari Haribabu , Hwang Wonmuk , Lang Matthew J. , Reinherz Ellis L. 
Published: December 2024

ABSTRACTαβT cells protect vertebrates against many diseases, optimizing surveillance using mechanical force to distinguish between pathophysiologic cellular alterations and normal self‐constituents. The multi‐subunit αβT‐cell receptor (TCR) operates outside of thermal equilibrium, harvesting energy via physical forces generated by T‐cell motility and actin‐myosin machinery. When a peptide‐bound major histocompatibility complex molecule (pMHC) on an antigen presenting cell is ligated, the αβTCR on the T cell leverages force to form a catch bond, prolonging bond lifetime, and enhancing antigen discrimination. Under load, the αβTCR undergoes reversible structural transitions involving partial unfolding of its clonotypic immunoglobulin‐like (Ig) domains and coupled rearrangements of associated CD3 subunits and structural elements. We postulate that transitions provide critical energy to initiate the signaling cascade via induction of αβTCR quaternary structural rearrangements, associated membrane perturbations, exposure of CD3 ITAMs to phosphorylation by non‐receptor tyrosine kinases, and phase separation of signaling molecules. Understanding force‐mediated signaling by the αβTCR clarifies long‐standing questions regarding αβTCR antigen recognition, specificity and affinity, providing a basis for continued investigation. Future directions include examining atomistic mechanisms of αβTCR signal initiation, performance quality, tissue compliance adaptability, and T‐cell memory fate. The mechanotransduction paradigm will foster improved rational design of T‐cell based vaccines, CAR‐Ts, and adoptive therapies.
The latency location routing problem with split deliveries: mathematical formulation and metaheuristic algorithm
Authors: Nucamendi‐Guillén Samuel , Gómez‐Rocha José Emmanuel , Camacho‐Vallejo José‐Fernando , Pardo Javier A. Moraga , González‐Ramírez Rosa G. 
Published: December 2024

AbstractIntegrating location and routing into a unified decision‐making framework offers a more comprehensive reflection of real‐world scenarios where different facility layouts directly influence routing plans. Consequently, addressing the issue holistically becomes imperative, especially when considering service level metrics like customer waiting times. In this paper, we address the latency location routing problem with opening costs and split deliveries (LLRP‐OCSD). This complex problem involves optimizing the design of a supply chain network by determining depot locations, assigning vehicles and demand nodes to these depots, and designing routes. This must be done while accommodating split deliveries and prioritizing minimizing waiting times for demand nodes. We formulate a mathematical model and propose an iterated local search (ILS) algorithm to solve the problem. To validate the performance of our approach, we adapted a set of benchmark instances previously used for LLRP‐OC without considering split deliveries. Computational results demonstrate that the proposed model is able to optimally solve only 2 out of the 38 tested instances within a 2‐hour timeframe. On the other hand, the proposed ILS algorithm is able to find good‐quality solutions in significantly less computational time for the LLRP‐OCSD. Extensive experimentation on larger instances (up to 200 nodes) yields consistent results within reasonable computational limits. In summary, our findings highlight how split deliveries enhance vehicle utilization, enabling the use of smaller vehicles and creating balanced routes with minimal increases in latency costs.
Impact of Melatonin Application on Wheat Agronomic Traits Under Abiotic Stress: A Meta‐Analysis
Authors: Fahad Shah , Muhammad Ihsan , Zhang Shaohong , Alwahibi Mona S. , Elshikh Mohamed S. , Wang Jun 
Published: December 2024

ABSTRACTThis meta‐analysis assesses the effects of melatonin (Mel) on various wheat agronomic traits, revealing significant heterogeneity and potential publication bias. This comprehensive analysis highlights the variability across studies (I2 > 98% for overall, leaf area, root and shoot weight), indicating a potential for selective reporting in the analysed studies. Grain yield and root weight showed I2 values of 93.78% and 99.54%, respectively, confirming the complex nature of melatonin's impact, which necessitates the use of random‐effects models. Notably, the study uncovers significant heterogeneity in wheat traits (p < 0.05). Mel increased grain yield by 33.50% and positively influenced root and shoot weights compared to control (no melatonin; nMel). However, the effects varied across different Mel concentration, application method and environmental stressors. Grain yield significantly increased with Mel application, particularly in foliar spray by 41.40%, compared to nMel. Mel consistently enhanced the overall response ratio (lnRR) of grain yield, grain weight, root length, shoot length, leaf area, plant height, shoot weight and root weight by 33.50%, 24.01%, 21.28%, 32.99%, 36.33%, 15.94%, 22.14% and 20.86% compared to nMel. Compared to nMel, the most pronounced grain yield was observed in Mel under salt stress conditions. The benefits of Mel were more pronounced in Egypt, where grain yield increased by 52.91%, suggesting that local environmental factors significantly influence its efficacy. Its impact varied across different cultivars, with Jimai_22 increased root length by 70.83% and Sids_14 by 56.39% compared to nMel, emphasising the importance of genetic factors. Mel application under salt and Cd stress conditions increased root weight by 336% and 470%, respectively, while decreased by 87% under waterlogging compared to no stress conditions. This indicates that Mel greatly increased plant resistance to abiotic stresses by modulating stress‐responsive pathways and improving agronomic traits.
Contributing Factors to the Rise in Adolescent Anxiety and Associated Mental Health Disorders: A Narrative Review of Current Literature
Authors: Anderson Thea L. , Valiauga Rasa , Tallo Christian , Hong Catriona Blythe , Manoranjithan Shaminy , Domingo Catherine , Paudel Manasvi , Untaroiu Ana , Barr Samantha , Goldhaber Kate 
Published: December 2024

ABSTRACTBackgroundThe prevalence of anxiety among adolescents has seen a notable increase in recent years, becoming a significant public health concern. In fact, anxiety is substantially more prevalent in Generation Z (individuals born between 1997 and 2012) than in any of the past three generations. We aimed to examine what factors contribute to the increased prevalence in teen anxiety and identify points of intervention.MethodsThis study employed a narrative review method. We performed a literature search of the PubMed, ScienceDirect, and Medline databases and identified original research and review articles discussing increased anxiety and other mental health disorders in Generation Z.ResultsWe provide a comprehensive overview of the factors contributing to the increased rates of adolescent anxiety, including academic pressures, social media influence, family dynamics, and broader societal stressors.ConclusionsIn this narrative review, we examine the multifaceted nature of adolescent anxiety, identifying contributing factors. Additionally, we discuss potential clinical, educational, and community‐based interventions to prevent and treat adolescent anxiety. By understanding and addressing the underlying causes of anxiety, it is possible to mitigate its impact and promote healthier developmental trajectories for young individuals.
Translucency of Enamel and Dentin: A Biomimetic Target for Esthetic Dental Materials
Authors: Paravina Rade D. , Cevik Pinar , Ontiveros Joe C. , Johnston William M. 
Published: December 2024

ABSTRACTObjectiveThis study aimed to assess the relative translucency parameter (RTP) of human enamel and dentin and set target RTP values for dental material development. Additionally, it seeks to validate the spectral RTP concept as supplementary quantitative information.Materials and MethodsSlides of extracted human teeth, 1 and 2 mm thick enamel or dentin slides, were evaluated. RTP was calculated using CIEDE2000 (RTP00) and CIELAB (RTPab) color difference formulas. Spectral RTP (SPECTRAL RTP) curves were also generated from differences between spectral reflectance values obtained against white and black backgrounds. Statistical analyses included multifactorial ANOVAs for each RTP and spectral RTP, and Pearson correlations between RTP and spectral RTP.ResultsSignificant correlations were observed between the RTP and spectral RTP values (p < 0.001) at all studied wavelengths. RTP00 and RTPab values were significantly different (p < 0.001). Enamel showed more translucency than dentin (p < 0.001), and 1 mm slices were more translucent than 2 mm slices (p < 0.001).ConclusionsSpectral RTP values were influenced by the type of tissue (enamel, dentin), thickness (1 mm, 2 mm), and color difference formula (CIELAB2000, CIELAB). RTP curve values were influenced by tissue type, thickness, and wavelength. Spectral RTP and RTP curve values were correlated.
Morphological diversity of the genus Telmatochromis from the Lake Tanganyika drainage with the description of a new riverine species and the generic reassignment of the Malagarasi River lamprologine
Authors: Indermaur Adrian , Schedel Frederic D. B. , Ronco Fabrizia 
Published: December 2024

AbstractThe lamprologine cichlid genus Telmatochromis was long considered primarily lacustrine and endemic to Lake Tanganyika until an undescribed Telmatochromis species was reported from the Lufubu River (Lake Tanganyika drainage, Zambia). A phylogenomic study in 2021 confirmed the association of Telmatochromis sp. “lufubu” with Telmatochromis along with another riverine species, Neolamprologus devosi (Malagarasi drainage, Tanzania). Here, we quantify the morphological diversity of the genus Telmatochromis and the two associated riverine species using a multivariate dataset combining geometric and classical morphometrics, as well as meristics. We identify three distinct morphological clusters: the “Telmatochromis vittatus complex” with highly elongated bodies and short heads, the “Telmatochromis temporalis complex” with deeper bodies, and the two riverine species with intermediate body elongation and large heads. Further, we formally describe the species endemic to the lower Lufubu River as Telmatochromis salzburgeri sp. nov. and reassign N. devosi to Telmatochromis. Telmatochromis devosi comb. nov. differs from all congeners by the absence of bi‐ and tricuspid teeth in the inner tooth rows of the oral dentition. T. salzburgeri sp. nov. can be distinguished from all other Telmatochromis species by a prominent orange stripe along the base of the dorsal fin and from T. devosi comb. nov. by the relatively smaller size of the lower pharyngeal jaw. Both riverine species differ from all lacustrine Telmatochromis by a lower number of dorsal‐fin spines. Additionally, the riverine species can be distinguished from the T. vittatus complex by having larger heads and longer oral jaws, and from the T. temporalis complex by their lower relative body depth. With the inclusion of new riverine members, the genus Telmatochromis is revealed to be more morphologically and ecologically diverse than previously recognized.