bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new multipolar order: combined development, state forms and new business classes
Authors: Wijaya Trissia , Jayasuriya Kanishka 
Published: May 2024

Abstract
What are the key social forces and interests that underpin an emerging multipolar world? Existing research oscillates between the retreat of the liberal international order and the rise of the rest, which remains trapped in a form of geopolitical fetishism. These explanations tell us little about the kinds of forces that are driving a more fragmented and disordered global order. In this article, we suggest going beyond this by fleshing out the underlying social class relations that this new emerging order is based on. At the core of it is the emergence of a new business class—fraction of capital—that in turn sustains what we call competing regulatory geographies. The latter are internalized within state institutions and policies and have reconsolidated a combination of state and market-led industrial policy. Empirically, we also show how these dynamics unfold in key non-core states. In highlighting this particularly potent dynamic of the contemporary global order, this article calls for policy-makers to better recognize the internal contestation within states that shapes and is shaped by combined capitalist development.
Time-dependent Changes in Shrimp Armor and Escape Kinematics under Ocean Acidification and Warming
Authors: Taylor Jennifer R A , Astbury Mia , Childers Elizabeth C , Contractor Kanisha , Lin Xinyu , Mencarelli Jenna , Prohroff Elisa J , Tapia Kendra 
Published: May 2024

Synopsis
Pandalid shrimp use morphological and behavioral defenses against their numerous fish and invertebrate predators. Their rapid tail-flip escape and rigid exoskeleton armor may be sensitive to changes in ocean temperature and carbon chemistry in ways that alter their efficacy and impact mortality. Here we tested the hypothesis that ocean warming and acidification conditions affect the antipredator defenses of Pandalus gurneyi. To test this hypothesis, we exposed shrimp to a combination of pH (8.0, 7.7, 7.5) and temperature (13°C, 17°C) treatments and assessed their tail-flip escape and exoskeleton armor after short-term (2 weeks) and medium-term (3 months) exposure. Results revealed complex effects on escape kinematics, with changes in different variables explained by either pH, temperature, and/or their interaction; decreased pH, for instance, primarily explains reduced acceleration while cold temperature explains increased flexion duration. Carapace mineral content (Ca and Mg) was unaffected, but warmer temperatures primarily drove enhanced mechanical properties (increased hardness and stiffness). No effects were observed in the stiffness and strength of the rostrum. Furthermore, most of the observed effects were temporary, as they occurred after short-term exposure (2 weeks), but disappeared after longer exposure (3 months). This demonstrates that P. gurneyi defenses are affected by short-term exposure to temperature and pH variations; however, they can acclimate to these conditions over time. Nonetheless, changes in the tail-flip escape kinematics may be disadvantageous when trying to flee predators and the enhanced exoskeleton armor could make them more resistant to predation during short periods of environmental change.
Lung volume reduction surgery is safe and feasible after initial endobronchial valve treatment for emphysema patients
Authors: Van Dijk Marlies , Van De Wauwer Caroline , Koster T David , Klooster Karin , Slebos Dirk-Jan 
Published: May 2024

Abstract

OBJECTIVES
Bronchoscopic lung volume reduction with endobronchial valves is a guideline treatment leading to improved pulmonary function, exercise tolerance and quality of life, in patients with advanced emphysema, severe hyperinflation and no collateral ventilation. After valve treatment, loss of the initial lung volume reduction effect can occur, as well as local valve-induced complications such as persistent haemoptysis. In these cases, a surgical lobectomy can be considered to achieve similar efficacy outcomes. We evaluated the safety and feasibility of a video-assisted thoracoscopic surgery lobectomy after valve treatment.

METHODS
This single-centre retrospective study included patients who underwent an elective lobectomy after previous valve treatment. Data were evaluated for safety and efficacy for the additional surgical procedure.

RESULTS
Twenty-one patients [73% female, median age 67 (7) years, forced expiratory volume in 1 s 29 (7) %pred, and residual volume 223 (58) %pred] were included. There was no 90-day mortality and there were no postoperative intensive care admissions. Pulmonary infections (14%) and prolonged air leak (14%) were the most common complications. In patients who underwent surgery due to loss or lack of effect of valve treatment, a lobectomy led to a significant improvement in pulmonary function; median forced expiratory volume in 1 s +75 (193) ml (P &lt; 0.013), forced vital capacity +450 (572) ml (P = 0.001), residual volume –665 (715) ml (P = 0.005). In patients who underwent a lobectomy because of complications of valve treatment, all complications were resolved after surgery.

CONCLUSIONS
We demonstrate that an elective lobectomy after an initial valve treatment is safe and feasible and restores the lung volume reduction effect.
CRONOSOJA: a daily time-step hierarchical model predicting soybean development across maturity groups in the Southern Cone
Authors: Severini Alan D , Álvarez-Prado Santiago , Otegui María E , Kavanová Monika , Vega Claudia R C , Zuil Sebastián , Ceretta Sergio , Acreche Martín , Amarilla Fidencia , Cicchino Mariano , Fernández-Long María E , Crespo Aníbal , Serrago Román , Miralles Daniel J 
Published: May 2024

Abstract
Abstract. Accurate prediction of phenology is the most critical aspect for the development of models aimed at estimating seed yield, particularly in species that exhibit variable sensitivity to environmental factors throughout the cycle and among genotypes. With this purpose, we evaluated the phenology of 34 soybean varieties in field experiments located in Argentina, Uruguay and Paraguay. Experiments covered a broad range of maturity group (MG)s (2.2–6.8), sowing dates (SDs) (from spring to summer) and latitude range (24.9–35.6 °S), thus ensuring a wide range of thermo-photoperiodic conditions during the growing season. Based on the observed data, daily time-step models were developed and tested, first for each genotype, and then across MGs. We identified base temperatures specific for different developmental phases and an extra parameter for calculating the photoperiod effect after the R1 stage (flowering). Also, an optimum photoperiod length for each MG was found. Model selection showed that the determinants of phenology across MGs were mainly affecting the duration of vegetative and early reproductive phases. Even so, early phases of development were better predicted than later ones, particularly in locations with cool growing seasons, where the model tended to overestimate their duration. In summary, we have constructed a soybean phenology model that simulates phenology accurately across various geographic locations and sowing dates. The model’s process-based approach has resulted in root mean square errors ranging from 5.8 to 9.5 days for different developmental stages. The final model was made available at http://cronosoja.agro.uba.ar.
The parasitic louse genusMyrsidea(Amblycera: Menoponidae): a comprehensive review and world checklist
Authors: Kolencik Stanislav , Sychra Oldrich , Johnson Kevin P , Weckstein Jason D , Sallam Mohamed F , Allen Julie M 
Published: May 2024

AbstractMyrsidea Waterston, 1915 (Phthiraptera: Menoponidae) is the most diverse genus of avian chewing lice. Myrsidea has a global distribution, is thought to be highly host-specific, and parasitizes mostly passerine birds. However, the rate of taxonomic studies describing new species is relatively low, and it is thought that much of the diversity of Myrsidea is yet to be discovered. This low rate of taxonomic description for this genus, and many others, may be related to the time-consuming nature of morphological species description and a lack of expertise in louse taxonomy. Furthermore, most of the taxonomic revisions and reviews have focused on specific host families, and no comprehensive review of the morphology and molecular work of Myrsidea has been completed in the last 20 years. Here, we review the taxonomy and systematics of Myrsidea to (i) describe this chewing louse genus and its biological importance; (ii) describe current problems with its taxonomy; (iii) simplify and summarize morphological descriptions; (iv) summarize molecular data; and (v) provide a comprehensive checklist of the Myrsidea species, with all publications and localities of occurrence included. Together, we hope that this information will provide researchers with a single source of information on the genus Myrsidea, making it easier for work to proceed on its taxonomy, systematics, ecology, and evolution. Importantly, our work highlights important gaps in our knowledge of Myrsidea, providing guideposts on where future work on Myrsidea is needed.
Needle bacterial community structure across the species range of limber pine
Authors: Carper Dana L , Lawrence Travis J , Quiroz Dianne , Kueppers Lara M , Frank A Carolin 
Published: May 2024

Abstract
Bacteria on and inside leaves can influence forest tree health and resilience. The distribution and limits of a tree species’ range can be influenced by various factors, with biological interactions among the most significant. We investigated the processes shaping the bacterial needle community across the species distribution of limber pine, a widespread Western conifer inhabiting a range of extreme habitats. We tested four hypotheses: (i) Needle community structure varies across sites, with site-specific factors more important to microbial assembly than host species selection; (ii) dispersal limitation structures foliar communities across the range of limber pine; (iii) the relative significance of dispersal and selection differs across sites in the tree species range; and (iv) needle age structures bacterial communities. We characterized needle communities from the needle surface and tissue of limber pine and co-occurring conifers across 16 sites in the limber pine distribution. Our findings confirmed that site characteristics shape the assembly of bacterial communities across the host species range and showed that these patterns are not driven by dispersal limitation. Furthermore, the strength of selection by the host varied by site, possibly due to differences in available microbes. Our study, by focusing on trees in their natural setting, reveals real needle bacterial dynamics in forests, which is key to understanding the balance between stochastic and deterministic processes in shaping forest tree-microbe interactions. Such understanding will be necessary to predict or manipulate these interactions to support forest ecosystem productivity or assist plant migration and adaptation in the face of global change.
Mixed waste contamination selects for a mobile genetic element population enriched in multiple heavy metal resistance genes
Authors: Goff Jennifer L , Lui Lauren M , Nielsen Torben N , Poole Farris L , Smith Heidi J , Walker Kathleen F , Hazen Terry C , Fields Matthew W , Arkin Adam P , Adams Michael W W 
Published: May 2024

Abstract
Mobile genetic elements (MGEs) like plasmids, viruses, and transposable elements can provide fitness benefits to their hosts for survival in the presence of environmental stressors. Heavy metal resistance genes (HMRGs) are frequently observed on MGEs, suggesting that MGEs may be an important driver of adaptive evolution in environments contaminated with heavy metals. Here, we report the meta-mobilome of the heavy metal-contaminated regions of the Oak Ridge Reservation subsurface. This meta-mobilome was compared with one derived from samples collected from unimpacted regions of the Oak Ridge Reservation subsurface. We assembled 1615 unique circularized DNA elements that we propose to be MGEs. The circular elements from the highly contaminated subsurface were enriched in HMRG clusters relative to those from the nearby unimpacted regions. Additionally, we found that these HMRGs were associated with Gamma and Betaproteobacteria hosts in the contaminated subsurface and potentially facilitate the persistence and dominance of these taxa in this region. Finally, the HMRGs were associated with conjugative elements, suggesting their potential for future lateral transfer. We demonstrate how our understanding of MGE ecology, evolution, and function can be enhanced through the genomic context provided by completed MGE assemblies.
Swarm and UNOISE outperform DADA2 and Deblur for denoising high-diversity marine seafloor samples
Authors: Nilsen Tonje , Snipen Lars-Gustav , Angell Inga Leena , Keeley Nigel Brian , Majaneva Sanna , Pettersen Ragnhild , Rudi Knut 
Published: May 2024

Abstract
The performance of sequence variant resolution analytic tools for metabarcoding has not yet been adequately benchmarked for high-diversity environmental samples. We therefore evaluated the sequence variant tools DADA2, Deblur, Swarm, and UNOISE, using high-diversity seafloor samples, resulting in comparisons of 1800 sequence variant tables. The evaluation was based on 30 sediment grab samples, for which 3 replica samples were collected. Each replica sample was extracted using 5 common DNA extraction kits, resulting in 450 DNA extracts which were 16S rRNA gene sequenced (V3–V4), using Illumina. Assessments included variation across replica samples, extraction kits, and denoising methods, in addition to applying prior knowledge about alpha diversity correlations toward the cosmopolitan marine archaeon Nitrosopumilus with high diversity and the sulfide oxidizing Sulfurovum with low diversity. DADA2 displayed the highest variance between replicates (Manhattan distance 1.14), while Swarm showed the lowest variance (Manhattan distance 0.93). For the analysis based on prior biological knowledge, UNOISE displayed the highest alpha diversity (Simpson’s D) correlation toward Nitrosopumilus (Spearman rho = 0.85), while DADA2 showed the lowest (Spearman rho = 0.10). Deblur completely eliminated Nitrosopumilus from the dataset. For Sulfurovum, on the other hand, all the methods showed comparable results. In conclusion, our evaluations show that Swarm and UNOISE performed better than DADA2 and Deblur for high-diversity seafloor samples.
Using Machine Learning and miRNA for the Diagnosis of Esophageal Cancer
Authors: Aravind Vishnu A , Kouznetsova Valentina L , Kesari Santosh , Tsigelny Igor F 
Published: May 2024

Abstract

Background
Esophageal cancer (EC) remains a global health challenge, often diagnosed at advanced stages, leading to high mortality rates. Current diagnostic tools for EC are limited in their efficacy. This study aims to harness the potential of microRNAs (miRNAs) as novel, noninvasive diagnostic biomarkers for EC. Our objective was to determine the diagnostic accuracy of miRNAs, particularly in distinguishing miRNAs associated with EC from control miRNAs.

Methods
We applied machine learning (ML) techniques in WEKA (Waikato Environment for Knowledge Analysis) and TensorFlow Keras to a dataset of miRNA sequences and gene targets, assessing the predictive power of several classifiers: naïve Bayes, multilayer perceptron, Hoeffding tree, random forest, and random tree. The data were further subjected to InfoGain feature selection to identify the most informative miRNA sequence and gene target descriptors. The ML models’ abilities to distinguish between miRNA implicated in EC and control group miRNA was then tested.

Results
Of the tested WEKA classifiers, the top 3 performing ones were random forest, Hoeffding tree, and naïve Bayes. The TensorFlow Keras neural network model was subsequently trained and tested, the model’s predictive power was further validated using an independent dataset. The TensorFlow Keras gave an accuracy 0.91. The WEKA best algorithm (naïve Bayes) model yielded an accuracy of 0.94.

Conclusions
The results demonstrate the potential of ML-based miRNA classifiers in diagnosing EC. However, further studies are necessary to validate these findings and explore the full clinical potential of this approach.
Soybean molasses increases subcutaneous fat deposition while reducing lipid oxidation in the meat of castrated lambs
Authors: Pereira-Junior Sérgio A G , Costa Rayanne V , Rodrigues Julia L , Torrecilhas Juliana A , Chiaratti Marcos R , Lanna Dante P D , das Chagas Julia C , Nociti Ricardo P , Meirelles Flavio V , Ferraz José Bento S , Fernandes Márcia H M R , Almeida Marco Túlio C , Ezequiel Jane M B 
Published: May 2024

Abstract
This study aimed to evaluate the effect of including soybean molasses (SM) on performance, blood parameters, carcass traits, meat quality, fatty acid, and muscle (longissimus thoracis) transcriptomic profiles of castrated lambs. Twenty Dorper × Santa Inês lambs (20.06 ± 0.76 kg body weight [BW]) were assigned to a randomized block design, stratified by BW, with the following treatments: CON: 0 g/kg of SM and SM20: 200 g/kg of SM on dry matter basis, allocated in individual pens. The diet consisted of 840 g/kg concentrate and 160 g/kg corn silage for 76 d, with the first 12 d as an adaptation period and the remaining 64 d on the finishing diet. The SM20 diet increased blood urea concentration (P = 0.03) while reduced glucose concentration (P = 0.04). Lambs fed SM showed higher subcutaneous fat deposition (P = 0.04) and higher subcutaneous adipocyte diameter (P &lt; 0.01), in addition to reduced meat lipid oxidation (P &lt; 0.01). SM reduced the quantity of branched-chain fatty acids in longissimus thoracis (P = 0.05) and increased the quantity of saturated fatty acids (P = 0.01). In the transcriptomic analysis, 294 genes were identified as differentially expressed, which belong to pathways such as oxidative phosphorylation, citric acid cycle, and monosaccharide metabolic process. In conclusion, diet with SM increased carcass fat deposition, reduced lipid oxidation, and changed the energy metabolism, supporting its use in ruminant nutrition.
Improving broiler health through cecal microbiota transplantation: a comprehensive study on growth, immunity, and microbial diversity
Authors: Khalid Anam , Huang Zhengxuan , Khan Ibrar Muhammad , Khalid Fatima , Nassar Nourhan , Jiang Xinyu , Cheng Maoji , Zhan Kai , Wang Zaigui 
Published: May 2024

Abstract
Cecal microbiota has emerged as a prominent intervention target for improving the production and welfare of poultry. This is essential for the overall health and performance of broiler chickens. The current study focused on investigating the effect of cecal microbiota transplantation (CMT) from healthy donor chickens on the growth performance, immunity, and microbial composition of newly hatched chicks and evaluated the effect of sample storage on the microbial diversity of the cecal samples. A healthy “Wannan Yellow Chicken line” was selected as the donor, and 180 1-d-old chicks from the same line were used as recipients for a 60-d feed trial. The chicks were randomly allocated to three groups (60 birds per group) with three replicates in each group. The three treatment groups were CMT-0 (control, normal saline solution), CMT-I (1:12 cecal content, normal saline supplemented with 10% glycerol), and CMT-II (1:6 cecal content, normal saline supplemented with 10% glycerol). The results of weight gain and absolute organ weight showed significant improvements in the CMT-II group compared with the CMT-0 group. Serum IgG level was significantly improved (P &lt; 0.05) in CMT-I compared with that in the CMT-0. However, IL-6 levels increased in CMT-I and then significantly decreased in CMT-II. The cecal microbial diversity of CMT treatment was compared between two groups, fresh samples (FS) and stored samples at−80 °C (SS). The results showed that beneficial taxa, such as Firmicutes and Verrucomicrobiota, were substantially more abundant in both CMT-I and CMT-II than in CMT-0 in both FS and SS. Microbial function analysis at levels 1, 2, and 3 showed improved metabolism, genetic information processing, cellular processes, environmental information processing, and organismal systems in CMT-I and CMT-II for both FS and SS groups. However, the SS group showed decreased microbial diversity and function. To conclude, cecal microbiota transplantation is a promising strategy for enhancing the productivity and health of broiler chickens.
Monarch butterfly optimization-based genetic algorithm operators for nonlinear constrained optimization and design of engineering problems
Authors: El-Shorbagy M A , Alhadbani Taghreed Hamdi 
Published: May 2024

Abstract
This paper aims to present a hybrid method to solve nonlinear constrained optimization problems and engineering design problems (EDPs). The hybrid method is a combination of monarch butterfly optimization (MBO) with the cross-over and mutation operators of the genetic algorithm (GA). It is called a hybrid monarch butterfly optimization with genetic algorithm operators (MBO-GAO). Combining MBO and GA operators is meant to overcome the drawbacks of both algorithms while merging their advantages. The self-adaptive cross-over and the real-valued mutation are the GA operators that are used in MBO-GAO. These operators are merged in a distinctive way within MBO processes to improve the variety of solutions in the later stages of the search process, speed up the convergence process, keep the search from getting stuck in local optima, and achieve a balance between the tendencies of exploration and exploitation. In addition, the greedy approach is presented in both the migration operator and the butterfly adjusting operator, which can only accept offspring of the monarch butterfly groups who are fitter than their parents. Finally, popular test problems, including a set of 19 benchmark problems, are used to test the proposed hybrid algorithm, MBO-GAO. The findings obtained provide evidence supporting the higher performance of MBO-GAO compared with other search techniques. Additionally, the performance of the MBO-GAO is examined for several EDPs. The computational results show that the MBO-GAO method exhibits competitiveness and superiority over other optimization algorithms employed for the resolution of EDPs.
International knowledge connectivity and the increasing concentration of innovation in major global cities
Authors: Cantwell John , Zaman Salma 
Published: May 2024

Abstract
We argue that trans-local knowledge connections positively impact local epistemic inventor communities in global cities, using patent citations as an indicator of global knowledge connectivity. Patented inventions have become more concentrated in the most internationally connected global cities, increasing inter-regional inequality. We identify two dimensions of knowledge connectivity: the compatibility of connections between similar profiles of technological knowledge, and the geographical diversity of knowledge connections between differently specialized global cities. We suggest that interaction between local and international inventor epistemic communities is now a vital driver of local innovation in global cities, and interregional inequality between these and other cities.