bluuebunny/crossref_metadata_2025_split huggingface dataset:
Advancing Anti‐Biofilm Strategies: Innovations to Combat Biofilm‐Related Challenges and Enhance Efficacy
Authors: Javanmard Zahra , Pourhajibagher Maryam , Bahador Abbas 
Published: October 2024

ABSTRACTBiofilms are complex communities of microorganisms that can cause significant challenges in various settings, including industrial processes, environmental systems, and human health. The protective nature of biofilms makes them resistant to traditional anti‐biofilm strategies, such as chemical agents, mechanical interventions, and surface modifications. To address the limitations of conventional anti‐biofilm methods, researchers have explored emerging strategies that encompass the use of natural compounds, nanotechnology‐based methods, quorum‐sensing inhibition, enzymatic degradation, and antimicrobial photodynamic/sonodynamic therapy. There is an increasing focus on combining multiple anti‐biofilm strategies to combat resistance and enhance effectiveness. Researchers are continuously investigating the mechanisms of biofilm formation and developing innovative approaches to overcome the limitations of conventional anti‐biofilm methods. These efforts aim to improve the management of biofilms and prevent infections while preserving the environment. This study provides a comprehensive overview of the latest advancements in anti‐biofilm strategies. Given the dynamic nature of this field, exploring new approaches is essential to stimulate further research and development initiatives. The effective management of biofilms is crucial for maintaining the health of industrial processes, environmental systems, and human populations.
Lamellar liquid crystals in commercial polyether‐modified polydimetilsiloxanes for coating applications: Structure, rheology and cross‐linking
Authors: Rokni Fatemeh Soleimani , Vilchez Susana , Rodríguez‐Abreu Carlos 
Published: October 2024

AbstractWe have constructed the phase diagrams in water of two commercial additives for coatings consisting of polyether‐modified polydimethylsiloxanes. These aqueous systems form a liquid crystal mesophase (LC) at copolymer concentrations higher than 60 wt%. At low copolymer concentrations, this LC coexists with a diluted aqueous phase. Small angle x‐ray scattering (SAXS) measurements and polarized optical microscope observations indicate that the structure of the mesophase is lamellar, with an interlayer spacing that increases linearly with the concentration of water in the system. The lamellar liquid crystals display temperature‐dependent viscoelastic behavior, with the copolymer with longer spacing showing a much lower elastic modulus. Since one of the copolymer has terminal acryl groups, its lamellar phase can be crosslinked to produce gelled liquid crystals. Other cross‐linked self‐assembled structures, such as bicontinuous microemulsions, are envisaged.
Rhizosphere microbial community assembly as influenced by reductive soil disinfestation to resist successive cropping obstacle
Authors: Qingshan Li , Ruizhe Yang , Lingying Xu , Yulong Peng , Qianyuan Duan , Xian Wu , Yue Luo , Yongbo Xu , Xingwang Wu , Mengqian Xu 
Published: October 2024

AbstractBackgroundReductive soil disinfestation (RSD), which involves creating anaerobic conditions and incorporating large amounts of organic materials into the soil, has been identified as a reliable strategy for reducing soilborne diseases in successive cropping systems. However, limited research exists on the connections between soil microorganism composition and plant diseases under various types of organic material applications. This study aimed to evaluate the effects of distinct RSD strategies (control without soil amendment; RSD with 1500 kg ha−1 molasses powder; RSD with 3000 kg ha−1 molasses powder; RSD with 3000 kg ha−1 molasses powder and 37.5–41.3 kg ha−1 microbial agent) on the plant disease index, bacterial community composition and network structure in rhizosphere soil.ResultsRSD treatments significantly reduced the occurrence of black shank disease in tobacco and increased soil bacterial diversity. High amounts of molasses powder in RSD treatments further enhanced disease inhibition and reduced fungal abundance and Shannon index. RSD also increased the relative abundance of bacterial phylum Firmicutes and fungal phylum Ascomycota, while decreasing the relative abundance of bacterial phyla Chloroflexi and Acidobacteriota and fungal phylum Basidiomycota in rhizosphere soil. A multiple regression model identified bacterial positive cohesion as the primary factor influencing the plant disease index, with a greater impact than bacterial negative cohesion and community stability. The competition among beneficial bacteria for creating a healthy rhizosphere environment is likely a key factor in the success of RSD in reducing plant disease risk.ConclusionRSD, especially with higher rates of molasses powder, is a viable strategy for controlling black shank disease in tobacco and promoting soil health by fostering beneficial microbial communities. This study provides guidelines for soil management and plant disease prevention. © 2024 Society of Chemical Industry.
The TDG Barometer: A Self‐Assessment Tool to Integrate Quality in the Measurement of Tourism Destination Governance
Authors: Bono i Gispert Octavi , Anton Clavé Salvador , Casadesús Fa Martí 
Published: October 2024

ABSTRACTDespite the significance of governance, few instruments are available to assess its practices in tourist destinations. This research endeavors to address that gap by proposing the tourist destination governance barometer (TDG barometer), a measurement tool that includes all governance dimensions. The objective is to provide destination authorities with a self‐assessment instrument that will enhance their understanding of governance practices and ultimately lead to improved management. The TDG barometer encompasses seven governance dimensions: participation, coherence, openness, effectiveness, responsibility, know‐how/quality, and simplicity. Comprising 31 attributes, the model is designed to be consistent, holistic, intensive, weighted, referable, comparable, and easy to apply. The final version of the TDG barometer has undergone rigorous evaluation by a panel of experts. It has been tested in a national organization evaluated with the EFQM excellence management model. Notably, the TDG barometer can be integrated with the EFQM model, enhancing its utility and effectiveness in destination management.
Unveiling the Aggressiveness of Cholesteatoma: Associating MERI with miRNA‐21 & IL‐6 Expression
Authors: M Karthikeyan , Mohan Vishudh , Purohit Purvi , Sharma Vidhu , Soni Kapil , Choudhury Bikram , Banerjee Mithu , Elhence Poonam , Goyal Amit 
Published: October 2024

BackgroundCholesteatoma, a destructive middle ear condition, poses challenges due to its variable clinical presentation and propensity for recurrence. Understanding its molecular underpinnings could enhance prognostication and guide therapeutic interventions. This study investigates the association between cholesteatoma aggressiveness, as assessed by the Middle Ear Risk Index (MERI), and the expression of miRNA‐21 and IL‐6 genes.MethodsA cross‐sectional observational study involving 30 patients with cholesteatoma undergoing tympanomastoid exploration was conducted. MERI scores were calculated preoperatively, and cholesteatoma tissue was analyzed for miRNA‐21 and IL‐6 gene expression using RT‐PCR. Statistical analysis was performed to correlate MERI scores with gene expression levels.ResultsThe majority (80%) of patients exhibited severe MERI scores, correlating with extensive middle ear pathology and necessitating canal wall‐down (CWD) mastoidectomy. Higher miRNA‐21 and IL‐6 gene expression levels were observed in cholesteatoma tissues, indicating local aggressiveness and inflammatory activity. Significant moderate correlations were found between MERI scores and miRNA‐21 (Pearson correlation = 0.579, p = 0.001) and IL‐6 gene expression (Pearson correlation = 0.388, p = 0.034). Patients with severe MERI scores had elevated miRNA‐21 and IL‐6 levels, suggesting a more aggressive disease phenotype.ConclusionMERI scores demonstrated utility in predicting cholesteatoma aggressiveness, with higher scores correlating with elevated miRNA‐21 and IL‐6 expression. These findings suggest a potential role for MERI in guiding surgical decision‐making and prognostication. Future research on targeted therapies based on molecular mechanisms holds promise for improving cholesteatoma management.Level of Evidence3 Laryngoscope, 2024
Grassland or Cropland? Land Use Dilemma and Ecological Solutions in Inner Mongolia
Authors: Liu Licheng , Hu Xintao , Li Lexin , Zhang Qian 
Published: October 2024

ABSTRACTInner Mongolia plays a critical role in both ecological conservation and food provision in China. However, some researchers have argued that focusing on and improving only one side of the equation necessarily threatens the functionality of the opposite side. To address this problem, we compared a “business‐as‐usual” scenario (BAU) with a “sustainable land use planning” scenario (SLU) constructed by simulating spatiotemporal changes in croplands and grasslands in Inner Mongolia from 2020 to 2030. Additionally, we analyzed the changes in ecosystem services and protein supply associated with changes in land use. We found that, in the BAU scenario, grasslands would decrease by 1.85% over the simulation period, while croplands would increase by 9.94%, with ecosystem services decreasing under both land uses. In contrast, land use changes over the same period in the SLU scenario are more significant, with increases of 11.33% and 2.78% in grassland and cropland, respectively, but, in this case, with ecosystem services increasing under both land uses. Moreover, protein supply increased under both scenarios, but SLU scenario can provide 33% more protein than the BAU scenario. The interconversion of cropland and grassland is the main type of land conversion in the study region, while cropland, grassland, and bare land show a triangular cycle of conversion. In addition, the implementation of scenario planning can realize multiple dividend for cultivation, livestock, and ecology in Inner Mongolia.
Data‐driven prediction of prolonged air leak after video‐assisted thoracoscopic surgery for lung cancer: Development and validation of machine‐learning‐based models using real‐world data through the ePath system
Authors: Tou Saori , Matsumoto Koutarou , Hashinokuchi Asato , Kinoshita Fumihiko , Nakaguma Hideki , Kozuma Yukio , Sugeta Rui , Nohara Yasunobu , Yamashita Takanori , Wakata Yoshifumi , Takenaka Tomoyoshi , Iwatani Kazunori , Soejima Hidehisa , Yoshizumi Tomoharu , Nakashima Naoki , Kamouchi Masahiro 
Published: October 2024

AbstractIntroductionThe reliability of data‐driven predictions in real‐world scenarios remains uncertain. This study aimed to develop and validate a machine‐learning‐based model for predicting clinical outcomes using real‐world data from an electronic clinical pathway (ePath) system.MethodsAll available data were collected from patients with lung cancer who underwent video‐assisted thoracoscopic surgery at two independent hospitals utilizing the ePath system. The primary clinical outcome of interest was prolonged air leak (PAL), defined as drainage removal more than 2 days post‐surgery. Data‐driven prediction models were developed in a cohort of 314 patients from a university hospital applying sparse linear regression models (least absolute shrinkage and selection operator, ridge, and elastic net) and decision tree ensemble models (random forest and extreme gradient boosting). Model performance was then validated in a cohort of 154 patients from a tertiary hospital using the area under the receiver operating characteristic curve (AUROC) and calibration plots.ResultsTo mitigate bias, variables with missing data related to PAL or those with high rates of missing data were excluded from the dataset. Fivefold cross‐validation indicated improved AUROCs when utilizing key variables, even post‐imputation of missing data. Dichotomizing continuous variables enhanced performance, particularly when fewer variables were employed in the decision tree ensemble models. Consequently, regression models incorporating seven key variables in complete case analysis demonstrated superior discriminatory ability for both internal (AUROCs: 0.77–0.84) and external cohorts (AUROCs: 0.75–0.84). These models exhibited satisfactory calibration in both cohorts.ConclusionsThe data‐driven prediction model implementing the ePath system exhibited adequate performance in predicting PAL post‐video‐assisted thoracoscopic surgery, optimizing variables and considering population characteristics in a real‐world setting.
On the differential geometry of smooth ruled surfaces in 4‐space
Authors: Deolindo‐Silva Jorge Luiz 
Published: October 2024

AbstractA smooth ruled surface in 4‐space has only parabolic points or inflection points of the real type. We show, by means of contact with transverse planes, that at a parabolic point, there exist two tangent directions determining two planes along which the parallel projection exhibits ‐singularities of type butterfly or worse. In particular, such parabolic points can be classified as butterfly hyperbolic, parabolic, or elliptic points depending on the value of the discriminant of a binary differential equation (BDE). Also, whenever such discriminant is positive, we ensure that the integral curves of these directions form a pair of foliations on the ruled surface. Moreover, the set of points that nullify the discriminant is a regular curve transverse to the regular curve formed by inflection points of the real type. Finally, using a particular projective transformation, we obtain a simple parametrization of the ruled surface such that the moduli of its 5‐jet identify a butterfly hyperbolic/parabolic/elliptic point, as well as we get the stable configurations of the solutions of BDE in the discriminant curve.
Different roles, different strokes: Disseminating e‐WOM in industrial Internet platform through multi‐actor value co‐creation
Authors: Liu Yue , Zhu Xiumei , Zhang Mengyao , Fu Jiaying , Yan Chaonan , Wang Yichuan , Zhai Yunkai 
Published: October 2024

AbstractPrior research has primarily focused on electronic Word of Mouth (e‐WOM) in consumer markets, lacking in‐depth exploration of its dynamics within B2B contexts. Addressing this gap, our study investigates e‐WOM in B2B markets on industrial internet platforms. Specifically, we examine how digital platform capabilities can be leveraged to create positive e‐WOM through multi‐actor value co‐creation processes. Utilizing a case study approach, we analyze heterogeneous data from multiple sources to understand how digital platform capabilities—such as digital ecological capability, digital coordination capability, and digital innovation capability—promote multi‐actor value co‐creation (including intrapreneurship within the focal firm, support for complementary products or services, and users' reciprocal participation), thereby disseminating positive e‐WOM in B2B markets. Our findings provide insights into e‐WOM in B2B markets and reveal the mechanisms of multi‐actor value co‐creation through which digital platform capabilities activate e‐WOM. This study enriches the theoretical framework of e‐WOM in B2B contexts and underscores the significance of digital transformation in enhancing interaction and collaboration among multiple actors on industrial internet platforms.
Policies for Selecting the Advance Selling Mode in a Supply Chain Considering Network Externalities
Authors: Han Mei , Lyu Qi , Feng Guoliang 
Published: October 2024

ABSTRACTThe marketing strategy of advance selling new products through e‐commerce channels is becoming increasingly popular among merchants and users. In advance selling on e‐commerce platforms, network externalities and the probability of consumer satisfaction with products are important factors affecting consumers' strategic behavior. This study considers network externalities and the probability of consumer satisfaction with products in the advance selling decision‐making problem in the supply chain. Using game theory and prospect theory, three scenario models—advance selling considering network externalities, advance selling without considering network externalities, and nonadvance selling—are designed to construct theoretical models for supply chain decision‐making. The optimal decision‐making problem of supply chain members is discussed. Furthermore, through a comparison of pricing, demand and profits, the impacts of advance selling with or without considering network externalities on the decisions of retailers and manufacturers are analyzed. By comparing the differences in decision‐making between manufacturers and retailers, the feasible area for advance selling under network externalities is obtained. Furthermore, through numerical experiments, the impacts of the strength of network externalities, and the probability of consumer satisfaction with products on the decision‐making of supply chains are analyzed.
Exploitation and catch and release of salmonids in Idaho high mountain lakes
Authors: Meyer Kevin A. , Chiaramonte Luciano V. , High Brett , Heckel John W. , Thiessen Joseph D. , Cassinelli John D. , Camacho Carlos A. , Messner Jordan S. , Lipple Brock A. 
Published: October 2024

Abstract

Objective
Historically, most high mountain lakes in western North America were devoid of fish, but during the past century, many have been stocked with salmonids to diversify angling opportunities. Basic information on harvest and catch and release (C–R) for high mountain lake fisheries is lacking, as is information on factors influencing catch in such settings; our objectives were to fill these knowledge gaps.

Methods
Using angling gear, we captured and implanted T-bar anchor tags into 1163 salmonids of various species (fish of wild origin or hatchery fish stocked as fry; they could not be distinguished) in 103 high mountain lakes scattered across Idaho. Angler-reported tag returns were used to estimate annual rates of exploitation and C–R, and a model selection approach was used to investigate factors influencing the angler catch of tagged fish.

Result
Anglers reported the catch of 125 tagged fish from 52 different lakes. The mean number of days at large for reported fish was 318 days, with a range of 1 to 1465 days. Annual exploitation was 5.8 ± 7.1% (mean ± 90% confidence interval), the annual C–R rate was 8.5 ± 8.5%, and total annual catch (i.e., exploitation plus C–R) was 14.2 ± 11.0%. Of the predictive factors that we investigated, the likelihood of a fish being caught by an angler was negatively associated with hiking distance and positively associated with shoreline development index and fish length.

Conclusion
Our results indicate that exploitation of salmonids in Idaho high mountain lakes is low even with liberal (six-fish daily bag limit) harvest regulations. Consequently, angler harvest is unlikely to be substantively affecting the abundance or size structure of salmonid populations in these lakes. Continued tagging would improve the precision of exploitation and C–R estimates, especially for comparisons among species.
A metaheuristic algorithm for large maximum weight independent set problems
Authors: Dong Yuanyuan , Goldberg Andrew V. , Noe Alexander , Parotsidis Nikos , Resende Mauricio G. C. , Spaen Quico 
Published: October 2024

AbstractMotivated by a real‐world vehicle routing application, we consider the maximum‐weight independent set problem: given a node‐weighted graph, find a set of independent (mutually nonadjacent) nodes whose node‐weight sum is maximum. Some of the graphs airsing in this application are large, having hundreds of thousands of nodes and hundreds of millions of edges. To solve instances of this size, we develop a new local search algorithm, which is a metaheuristic in the greedy randomized adaptive search framework. This algorithm, which we call METAMIS, uses a wider range of simple local search operations than previously described in the literature. We introduce data structures that make these operations efficient. A new variant of path‐relinking is introduced to escape local optima and so is a new alternating augmenting‐path local search move that improves algorithm performance. We compare an implementation of our algorithm with a state‐of‐the‐art openly available code on public benchmark sets, including some large instances with hundreds of millions of vertices. Our algorithm is, in general, competitive and outperforms this openly available code on large vehicle routing instances. We hope that our results will lead to even better MWIS algorithms.
The Potential of Tele‐Ultrasound, Handheld and Self‐Operated Ultrasound in Pregnancy Care: A Systematic Review
Authors: Kariman Shariva S. , van den Heuvel Josephus F. M. , Adriaanse Bauke M. E. , Oepkes Dick , Bekker Mireille N. 
Published: October 2024

ABSTRACTObjectiveTo explore the use of tele‐ultrasound and handheld or self‐operated ultrasound in pregnancy.MethodsA systematic search provided 31 studies. The risk of bias for each study was assessed. Results were analyzed and presented in a narrative overview in four domains: tele‐ultrasound, patient‐operated ultrasound, handheld devices and low‐ and middle‐income countries (LMIC).ResultsThe quality of studies was generally low or fair based on the NIH Quality Assessment Tools. Fetal tele‐ultrasound services (11 studies) are feasible and especially helpful in rural areas or with increased centralization of specialist care. Three studies with patient‐operated ultrasound concluded its feasibility with good‐to‐high experiences. The use of handheld devices in pregnancy (eight studies) showed similar ultrasound results when compared to standard devices. In LMICs, innovative use of ultrasound (nine studies) can facilitate access to obstetric care performed by trained as well as unskilled caregivers combined with remote evaluation by an expert.ConclusionsInnovations in ultrasound in pregnancy care have shown promising results for application. Although most studies demonstrated benefits for pregnant women or care providers, high‐level evidence is scarce. High‐quality studies on innovations are needed to assess medical outcomes, patient and provider experiences and costs.
Outpatient clinical care for bronchopulmonary dysplasia: A survey of the BPD collaborative
Authors: Moore Paul E. , Hayden Lystra P. , Villafranco Natalie M. , Toprak Demet , Rice Jessica L. , Rhein Lawrence M. , Popova Antonia P. , McKinney Robin L. , Manimtim Winston M. , Levin Jonathan C. , Lai Khanh V. , Gage Susan C. , Bansal Manvi , Baker Christopher D. , Austin Eric D. , Agarwal Amit , McGrath‐Morrow Sharon A. , Collaco Joseph M. 
Published: October 2024

AbstractBackgroundBronchopulmonary dysplasia, a sequela of preterm birth, is the most common chronic respiratory disorder in infancy, and the second most common in children. Despite this, clinical care remains highly variable with guidelines supported by limited evidence, and do not provide specific guidance for timing of clinical follow‐up, echocardiography, modalities of pulmonary function testing, etc.Objective/methodsTo further our understanding of care delivery for BPD, we sought to describe outpatient care patterns at tertiary care centers through survey data from 27 well‐established BPD programs.ResultsWe observed variability in referral patterns to outpatient BPD clinics, ancillary services provided, indications for follow‐up echocardiograms, availability of lung function testing, and criteria for discharge from care.ConclusionMore comprehensive and detailed clinical guidelines similar to other pulmonary diseases such as asthma and cystic fibrosis should be developed to help standardize care and may improve long term outcomes.