bluuebunny/crossref_metadata_2025_split huggingface dataset:
The LTAR Cropland Common Experiment in the Lower Mississippi River Basin
Authors: Locke Martin A. , Witthaus Lindsey M. , Lizotte Richard E. , Heintzman Lucas J. , Moore Matthew T. , O'Reilly Andrew , Wells Robert R. , Langendoen Eddy J. , Bingner Ronald L. , Gholson Drew M. , Taylor Jason M. , Johnson Frank E. 
Published: May 2024

AbstractThe Lower Mississippi River Basin Long‐Term Agroecosystem Research Site (LMRB‐LTAR) encompasses six states from Missouri to the Gulf of Mexico and is coordinated by the USDA‐ARS National Sedimentation Laboratory, Oxford, MS. The overarching goal of LTAR is to assess regionally diverse and geographically scalable farming practices for enhanced sustainability of agroecosystem goods and services under changing environment and resource‐use conditions. The LMRB‐LTAR overall goal is to assess sustainable row crop agricultural production systems that integrate regional environmental and socioeconomic needs. Primary row crops in the region include soybeans, corn, cotton, rice, and sugarcane with crop rotations influenced by commodity crop price and other factors. The field‐scale common experiment (CE) includes four row crop farms (26–101 ha) established in 2021 and 2023. Three fields are managed with alternative practices, including reduced tillage, cover crops, and automated prescription irrigation, and three fields are managed with prevailing farming practices, consisting of conventional tillage, no cover crop, and nonprescription irrigation. Treatment effects on crop productivity, soil quality, water use efficiency, water quality, and carbon storage are assessed. Research from the LMRB CE will deliver outcomes linked to overarching LTAR network goals, including innovative agricultural systems, strengthened partnerships, data management technologies, and precision environmental tools.
No difference was found between double‐bundle and single‐bundle anterior cruciate ligament reconstructions in terms of osteoarthritis at 15‐year follow‐up
Authors: Seppänen Arttu , Kiekara Tommi , Suomalainen Piia , Mäenpää Heikki , Huhtala Heini , Järvelä Timo 
Published: May 2024

AbstractPurposeThe purpose of the study was to determine whether the grade of osteoarthritis (OA) is higher with single‐bundle (SB) or double‐bundle (DB) anterior cruciate ligament (ACL) reconstruction. The hypothesis was that there will be no difference in the grade of OA between the techniques.MethodsThis study was a randomised controlled trial (RCT) with a follow‐up period of 15 years. Patients were randomly assigned to either the SB group (n = 78) or the DB group (n = 75). Surgical techniques were anatomic, and the rehabilitation protocol was standardised. Evaluation included Kellgren–Lawrence (KL) difference and absolute OA results. OA was defined as a KL grade of at least 2.ResultsAt 15‐year follow‐up, information was available on 101 patients (66%), of whom 56 (37%) were accepted in the final statistical analysis. No difference was found between the SB and DB techniques in terms of KL difference or absolute OA results. Significantly less OA was found in the contralateral knee (21%) than in the reconstructed knee (59%) (p < 0.001). Patients with meniscal tears who underwent partial meniscal resection during ACL reconstruction had a significantly higher rate of OA changes (82%) compared with patients with isolated ACL tears (33%) (p < 0.001). A longer delay between initial injury and surgery did not appear to affect the severity of the KL classification.ConclusionAt 15‐year follow‐up, no difference was found between the DB and SB techniques in terms of OA.Level of EvidenceLevel I.
Genetically Predicted Sleep Traits and Sensorineural Hearing Loss: A Mendelian Randomization Study
Authors: Gao Yan , Qiu Yuanzheng , Lu Shanhong 
Published: May 2024

ObjectiveObservational studies suggest a potential association between sleep characteristics, sensorineural hearing loss (SNHL), and sudden SNHL (SSNHL), but causal evidence is scarce. We sought to clarify this issue using two‐sample Mendelian randomization analysis.MethodsThe inverse‐variance weighted (IVW) method was performed as primary analysis to assess bidirectional causal associations between sleep traits (chronotype, sleep duration, insomnia, daytime sleepiness, and snoring) and SNHL/SSNHL using publicly available Genome‐Wide Association Studies summary data from two large consortia (UK Biobank and FinnGen). Sensitivity analyses, including Mendelian randomization (MR)‐Egger, Mendelian randomization pleiotropy residual sum and outlier, weight median, Cochran's Q test, leave‐one‐out analysis, and potential pleiotropy analysis, were conducted to ensure robustness.ResultsIVW analysis found suggestive associations of morning chronotype (odds ratio [OR] = 1.08, 95% confidence interval [CI] = 1.01–1.16, p = 0.031) and daytime sleepiness (OR = 1.88, 95% CI = 1.24–2.87, p = 0.003) with SNHL onset. Additionally, morning chronotype was nominally associated with SSNHL onset using IVW method (OR = 1.37, 95% CI = 1.10–1.71, p = 0.006). However, there was no evidence for the causal effect of SNHL and SSNHL on different sleep traits (all p > 0.05). Sensitivity analysis showed that the results were stable.ConclusionWithin the MR limitations, morning chronotype and daytime sleepiness were underlying causal contributors to the burden of SNHL, indicating that optimal sleep might facilitate the prevention and development of SNHL.Level of Evidence3 Laryngoscope, 134:4723–4729, 2024
Deep learning‐based magnetic resonance imaging analysis for chronic cerebral hypoperfusion risk
Authors: Yang Meiyi , Yang Lili , Zhang Qi , Xu Lifeng , Yang Bo , Li Yingjie , Cheng Xudong , Zhang Feng , Liu Ming , Yu Nengwei 
Published: May 2024

AbstractBackgroundChronic cerebral hypoperfusion (CCH) is a frequently encountered clinical condition that poses a diagnostic challenge due to its nonspecific symptoms.PurposeTo enhance the diagnosis of CCH and non‐CCH through Magnetic Resonance Imaging (MRI), offering support in clinical decision‐making and recommendations to ultimately elevate diagnostic accuracy and optimize patient treatment outcomes.MethodsIn the retrospective research, we collected 204 routine brain magnetic resonance imaging (MRI) from March 1 to September 10 2022, as training and testing cohorts. And a validation cohort with 108 samples was collected from November 14 2022 to August 4 2023. MRI sequences were processed to obtain T1‐weighted (T1WI) and T2‐weighted (T2WI) sequence images for each patient. We propose CCH‐Network (CCHNet), an end‐to‐end deep learning model, integrating convolution and Transformer modules to capture local and global structural information. Our novel adversarial training method improves feature knowledge capture, enhancing both generalization ability and efficiency in predicting CCH risk. We assessed the classification performance of the proposed model CCHNet by comparing it with existing state‐of‐the‐art deep learning algorithms, including ResNet34, DenseNet121, VGG16, Convnext, ViT, Coat, and TransFG. To better validate model performance, we compared the results of the proposed model with eight neurologists to evaluate their consistency.ResultsCCHNet achieved an AUC of 91.6% (95% CI: 86.8–99.1), with an accuracy (ACC) of 85.0% (95% CI: 75.6–95.2). It demonstrated a sensitivity (SE) of 80.0% (95% CI: 71.6–95.6) and a specificity (SP) of 90.0% (95% CI: 82.3–97.8) in the testing cohort. In the validation cohort, the model demonstrated an AUC of 86.0% (95% CI: 80.3–93.0), an ACC of 84.2% (95% CI: 70.2–93.6), a SE of 83.3% (95% CI: 68.3–95.5), and a SP of 84.7% (95% CI: 70.3–96.8).ConclusionsThe model improved the diagnostic performance of MRI with high SE and SP, providing a promising method for the diagnosis of CCH.
The efficiency of micellar solubilization of naphthalene from aqueous solutions using rhamnolipid as a biological surfactant according to NMR diffusometry
Authors: Arkhipov Victor P. , Arkhipov Ruslan V. , Filippov Andrei 
Published: May 2024

AbstractThe micellar solubilization of naphthalene from its saturated aqueous solutions using the biosurfactant rhamnolipid was studied. Using the NMR diffusion method, selective measurements of the self‐diffusion coefficients of molecules of all components of the solution—naphthalene, rhamnolipid, and water—were carried out at various rhamnolipid concentrations from 0.06 to 100 g/L. Based on the results of diffusometry, the distribution of naphthalene molecules between the states free in solution and states bound by micelles was found. With an increase in the concentration of rhamnolipids, the proportion of bound naphthalene molecules increases from 50% at CRL = 2 g/L to 100% at CRL ≥ 50 g/L. The micelle‐water partition coefficient Km and the molar solubilization ratio MSR were calculated.
Through‐space H‐F coupling in a series of 4‐substituted‐1H‐1,2,3‐triazoles
Authors: Kempton Robert J. , Bradley Saige , Bozarth Seth August , Wheatcroft Gabriel , Onorato Amber J. , Hare Patrick M. 
Published: May 2024

AbstractIn the 1H‐NMR spectra of a series of N‐1 substituted 4‐substituted‐1H‐1,2,3‐triazoles that have been prepared, the lone heterocyclic ring hydrogen (H‐5) appears as a singlet in all cases except those compounds that contain a 2‐fluorophenyl moiety at Position 4. In those cases, H‐5 is a doublet with J ~3.7 Hz. Based on computational chemistry results and geometric considerations, we attribute this splitting to through‐space H‐F coupling.
Improving MR axon radius estimation in human white matter using spiral acquisition and field monitoring
Authors: Veldmann Marten , Edwards Luke J. , Pine Kerrin J. , Ehses Philipp , Ferreira Mónica , Weiskopf Nikolaus , Stoecker Tony 
Published: May 2024

AbstractPurposeTo compare MR axon radius estimation in human white matter using a multiband spiral sequence combined with field monitoring to the current state‐of‐the‐art echo‐planar imaging (EPI)‐based approach.MethodsA custom multiband spiral sequence was used for diffusion‐weighted imaging at ultra‐high ‐values. Field monitoring and higher order image reconstruction were employed to greatly reduce artifacts in spiral images. Diffusion weighting parameters were chosen to match a state‐of‐the art EPI‐based axon radius mapping protocol. The spiral approach was compared to the EPI approach by comparing the image signal‐to‐noise ratio (SNR) and performing a test–retest study to assess the respective variability and repeatability of axon radius mapping. Effective axon radius estimates were compared over white matter voxels and along the left corticospinal tract.ResultsIncreased SNR and reduced artifacts in spiral images led to reduced variability in resulting axon radius maps, especially in low‐SNR regions. Test–retest variability was reduced by a factor of approximately 1.5 using the spiral approach. Reduced repeatability due to significant bias was found for some subjects in both spiral and EPI approaches, and attributed to scanner instability, pointing to a previously unknown limitation of the state‐of‐the‐art approach.ConclusionCombining spiral readouts with field monitoring improved mapping of the effective axon radius compared to the conventional EPI approach.
Structured replacement policies for a system subject to random mission types
Authors: Zheng Rui 
Published: May 2024

AbstractThis paper optimizes condition‐based replacement policies for a mission‐oriented system. The key challenge in our problem is that the system does not work under a fixed mission type but is subject to an infinite sequence of random types of missions assigned in a Markovian manner, which is realistic in many practical situations. The mission process modulates the deterioration process. Taking advantage of the opportunities when missions are switched, condition monitoring is conducted to support replacement decision‐making. This paper considers two practical scenarios in which the type of the next mission is either available or unavailable at each decision epoch. The objective is to determine the optimal replacement decisions for both scenarios that minimize their long‐run expected average cost rates. The optimization problems are analyzed in the framework of the Markov decision process. The optimal decisions of both scenarios are proven to be of partially monotone control‐limit forms. Near‐optimal policies with multilevel thresholds are provided for more convenient decision‐making. The policy iteration algorithm is modified for efficient optimization. A numerical example is used to demonstrate the feasibility of the proposed approach.
Bridging the public administration‐AI divide: A skills perspective
Authors: Trajkovski Goran 
Published: May 2024

AbstractThe advent of Artificial Intelligence (AI) is set to revolutionize governance and public administration, presenting both opportunities and challenges. This paper provides a roadmap for public agencies, detailing steps from preparation to mainstream AI implementation. It proposes a skills framework encompassing technical, ethical, legal, and management aspects, supplemented by continuous training recommendations. Emphasizing a human‐centric and ethical approach, it aims to foster innovative and responsible governance. Collaboration is highlighted as vital for accelerating AI adoption and equipping administrators with tools to navigate this complex yet promising landscape. The paper also addresses the equality and inclusion challenges posed by AI, particularly in bridging the divide between the Global North and Global South, using international examples from both developed and developing countries. These insights ensure a comprehensive perspective on AI integration in public administration, promoting a holistic and nuanced approach to addressing these challenges.
Atmospheric Pressure Enhanced Self‐Sealing Rotation‐SlipChip with Programmable Concentration Gradient Generation for Microbiological Applications
Authors: Wan Chao , Yi Longyu , Yuan Huijuan , Li Shunji , Wang Xin , Shu Yuxiao , Xie Han , Lei Mengcheng , Miao Zeyu , Du Wei , Feng Xiaojun , Li Yiwei , Chen Peng , Liu Bi‐Feng 
Published: May 2024

AbstractIn microbiological research, traditional methods for bacterial screening and antibiotic susceptibility testing are resource‐intensive. Microfluidics offers an efficient alternative with rapid results and minimal sample consumption, but the demand for cost‐effective, user‐friendly platforms persists in communities and hospitals. Inspired by the Magdeburg hemispheres, the strategy adapts to local conditions, leveraging omnipresent atmospheric pressure for self‐sealing of Rotation‐SlipChip (RSC) equipped with a 3D circular Christmas tree‐like microfluidic concentration gradient generator. This innovative approach provides an accessible and adaptable platform for microbiological research and testing in diverse settings. The RSC can avoid leakage concerns during multiple concentration gradient generation, chip‐rotating, and final long‐term incubation reaction (≥24 h). Furtherly, RSC subtypes adapted to different reactions can be fabricated in less than 15 min with cost less than $1, the result can be read through designated observational windows by naked‐eye. Moreover, the RSC demonstrates its capability for evaluating bacterial biomarker activity, enabling the rapid assessment of β‐galactosidase concentration and enzyme activity within 30 min, and the limit of detection can be reduced by 10‐fold. It also rapidly determines the minimum antibiotic inhibitory concentration and antibiotic combined medications results within 4 h. Overall, these low‐cost and user‐friendly RSC make them invaluable tools in determinations at previously impractical environment.
Influence of ground motion characteristics on the heating effect of lead‐rubber bearings in base‐isolated structures
Authors: Xue Bin , Lu Wensheng , Yang Yongqiang , Ren Xiangxiang 
Published: May 2024

AbstractUnder earthquake excitations, the lead core inside the lead‐rubber bearing (LRB) generates heat, causing the mechanical degradation of LRBs. However, the heating effect is not commonly considered in the seismic analysis and design of base‐isolated structures with LRBs, which may underestimate the seismic response of structures, especially under ground motions with certain specific characteristics. This paper aims to reveal the influence of ground motion characteristics on the heating effect and provide useful references for the seismic analysis and design. In this study, the validated LRB model considering heating effect was employed in a base‐isolated building calibrated by testing data. Ground motion characteristics including amplitude, duration, and frequency content were separated by spectrally equivalent and different records. The results indicate that the rate and peak of the lead core temperature rise are strongly correlated to ground motion characteristics. Seismic responses ignoring the heating effect are underestimated, and this underestimate varies as the amplitude, duration, and frequency content change and reaches up to 60% in the studied case. Note that seismic responses of the isolation system are more affected by heating effects than the superstructure, and the duration shows a more significant influence on the stiffness degradation of LRBs than the frequency content. It is strongly recommended that the required duration of ground motions should be raised and the low stories of the superstructure should be reinforced for isolated structures with LRBs. The significant duration indicator DS5–95 is more reasonable than DS5–75 in the analysis of the heating effect.
Greek Consumers’ Perceptions of Traceability in the Food Supply Chain
Authors: Nanos Ioannis , Kotzaivazoglou Iordanis , Papaioannou Eugenia , Assimakopoulos Costas , Fragidis Garyfallos 
Published: May 2024

AbstractTraceability is an issue of major importance and is related to the provision, sharing and tracking of information about products in every part of the food supply chain. However, traceability faces issues and challenges that eventually lead to increased consumers’ concerns. This paper examines Greek consumers’ perceptions of traceability in the food supply chain. The research was based on the Theory of Planned Behavior, as modified and used on previous studies, and was conducted with a structured questionnaire between April and May 2023, in a sample of 222 respondents. Findings indicate that consumers’ perceptions about traceability influence their intention and behavior in buying traceable food. Attitude, subjective norm, trust and perceived behavioral control influence positively-but rather weakly-the intention to buy traceable food, whereas the perceived behavioral control affects the Greek customers’ behavior in buying traceable food. Finally, consumers’ intention to buy traceable food influences their behavior in buying traceable food. The results can be used by academics in order to explore food traceability in a national context or validate results from similar studies in international context. They may also help food sector managers to better understand consumers’ perceptions about food traceability and formulate their strategy accordingly.
“In Search of an ‘I’ and a ‘We’ in ‘Team’”: A Group-Analytic Tool for Teaching Teamwork
Authors: Katsiveli Stamatina 
Published: May 2024

AbstractThe centrality of teamwork in today’s marketplace is undeniable and well-researched. Its numerous benefits are accompanied by various challenges which make teamwork a valuable aspect of the soft skills that students need to acquire in communication courses. This paper proposes a tool for teaching teamwork in the classroom as well as for maximizing team performance in organizational settings, drawing on Group Analysis, i.e., a group-focused approach to psychotherapy which explores the simultaneous individual and social development of members of a group. The tool in question follows the SPeCS acronym, which relies on two interrelated dimensions, namely Self-Perception of each member and Communication Style he/she adopts. Contrary to common conceptualizations of teamwork as a soft skill on its own, the paper argues that, in order to perform in team settings, members need to work in parallel on multiple interpersonal communication skills (e.g., audience-centered design of message, listening skills) and on their combined, simultaneous perception of themselves from an ‘I’ and a ‘we’ perspective. SPeCS may be used by both students and future professionals as a self-reflective tool which promotes critical thinking as well as engaging and fruitful collaborations.
Artificial Intelligence’s Revolutionary Role in Search Engine Optimization
Authors: Ziakis Christos , Vlachopoulou Maro 
Published: May 2024

AbstractIn recent years the digital landscape has been rapidly evolving as the application of artificial intelligence (AI) becomes increasingly important in shaping search engine optimization (SEO) strategies and revolutionizing the way websites are optimized for search engines. This research aims to explore the influence of AI in the field of SEO through a literature review that is conducted using the PRISMA framework. The study delves into how AI capabilities such as generative AI and natural language processing (NLP) are leveraged to boost SEO. These techniques in turn allow search engines to provide more accurate, user-centric results, highlighting the importance of semantic search, where search engines understand the context and intent of a user’s search query, ensuring a more personalized and effective search experience. On the other hand, AI and its tools are used by digital marketers to implement SEO strategies such as automatic keyword research, content optimization, and backlink analysis. The automation offered by AI not only enhances efficiency but also heralds a new era of precision in SEO strategy. The application of AI in SEO paves the way for more targeted SEO campaigns that attract more organic visits to business websites. However, relying on AI in SEO also poses challenges and considerations. The evolving nature of AI algorithms requires constant adaptation by businesses and SEO professionals, while the black-box nature of these algorithms can lead to the opaque and unpredictable evolution of SEO results. Furthermore, the power of AI to shape online content and visibility raises questions about equality, control, and manipulation in the digital environment. The insights gained from this study could inform future developments in SEO strategies, ensuring a more robust, fair, and user-centric digital search landscape.
Work Integration Social Enterprises (WISEs) in Public Sector
Authors: Chronopoulos Vasilis I. , Sepetis Anastasios , Pierrakos George 
Published: May 2024

AbstractWork Integration Social Enterprises (WISEs) are one of the leading forms of Social Enterprises in Europe. The analogy of the Public Procurements that Greek Work Integration Social Enterprises (WISEs) acquire on the total monetary resources of the WISE, was connected to the ability of the WISE to develop job positions that are sufficient to keep the employ above the monetary poverty line and bring it closer to the concept of a full-time job. A response rate of 62.50% resulted in primary data from 51.47% of the population of WISEs in Greece. Ordinal Regression Analysis showed that WISEs that relied heavily on Public Procurements had low performance in developing job positions that were sufficient to keep the employee above the monetary poverty line, and low performance in creating job positions that are close to the concept of a full-time job. There is evidence that Greek WISEs should reinvent their entrepreneurial nature and act more as innovative challengers and less as adjustable followers. Policymakers could consider relating the amount of public procurements that a WISE acquires to the open market share of the WISE, at least after the initial state of the WISE’s development.