bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiple and Nodal Solutions for Parametric Dirichlet Equations Driven by the Double Phase Differential Operator
Authors: Cai Li , Papageorgiou Nikolaos S. , Rădulescu Vicenţiu D. 
Published: June 2023

AbstractWe consider a nonlinear parametric Dirichlet problem driven by the double phase differential operator. Using variational tools combined with critical groups, we show that for all small values of the parameter, the problem has at least three nontrivial bounded solutions which are ordered and we provide the sign information for all of them. Two solutions are of constant sign and the third one is nodal. Finally, we determine the asymptotic behavior of the nodal solution as the parameter converges to zero.
Impact of the gall-inducing fly Polymorphomyia basilica Snow (Diptera: Tephritidae) on the growth and reproduction of Chromolaena odorata (L.) R.M.King & H.Rob (Asteraceae) in the laboratory
Authors: Mahlobo Thandeka , Dube Nontembeko , Zachariades Costas , Munyai Thinandavha Caswell 
Published: June 2023

AbstractGall-inducing insects are a classic example of how insects can impact the morphology and physiology of their host plants by forming galls which act as nutrient sinks. An 8-months laboratory study was conducted to determine the impact of the galls induced by Polymorphomyia basilica oviposition and or the subsequent larval feedingon the growth and reproduction of Chromolaena odorata. Three treatment levels were used, viz. control: 0% of the shoots were exposed, low infestation: 50% of shoots were exposed, and high infestation, where 100% of the shoots were exposed for P. basilica to oviposit for 48 h each month. Results showed that P. basilica oviposition and or the subsequent feeding by larvae reduced the height and flower production of C. odorata plants but promoted lateral growth by increasing the number of shoot tips. Basal stem diameter was not affected by the presence of the galls. The presence of galls also decreased the leaf and root dry biomass on the treated plants but had no significant impact on stem biomass. The difference between the low- and high-infestation treatments was only significant for root biomass, suggesting that more galls are required for the roots to be affected. Overall, the study showed that P. basilica meets the requirements of an effective biocontrol agent against C. odorata in South Africa. Its release should complement the already released agents in reducing the fitness and productivity of C. odorata.
Micro-coopetition: conceptualizing and operationalizing coopetitive managerial decision-making over time—a game theoretic approach
Authors: Gelei Andrea , Dobos Imre 
Published: June 2023

AbstractThe purpose of the paper is to provide a conceptualization and an aligned game-theoretic operationalization of the dynamic coopetitive managerial decision-making process. The proposed two-step sequential game uses existing game theoretical constructs but combines them in a unique way. One of its important positive features is its capacity to make the performance implications of all potential coopetitive decisions in a relationship episode explicit, together with the interplay among them. The lack of such a feature has been recognized as a severe limitation of extant literature, hampering further theoretical and methodological development. The proposed solution gives insights into how moment-by-moment managerial decisions unfold over time and possibly result in disequilibrium states, generating tension. Managerial attributes play a key role in effectively managing such moments, it is suggested. Based on the proposed operationalization, behavioral experiments can be designed through which future empirical research can develop appropriate data sets and test the widely hypothesized roles of these attributes, which can result in more reliable and generalizable research results. Besides the theoretical and empirical value of the proposed conceptualization and operationalization, the paper is of value to decision makers, as it makes the internal complexity of the coopetitive strategizing and its inherent interdependencies explicit, providing practical insights into this complex phenomenon.
Emergency Medical Management of Aneurysmal Subarachnoid Hemorrhage
Authors: Vergouwen Mervyn D. I. , Rinkel Gabriel J. E. 
Published: June 2023

AbstractAneurysmal subarachnoid hemorrhage is a medical emergency that necessitates direct transfer to a tertiary referral center specialized in the diagnosis and treatment of this condition. The initial hours after aneurysmal rupture are critical for patients with aneurysmal subarachnoid hemorrhage, both in terms of rebleeding and combating the effect of early brain injury. No good treatment options are available to reduce the risk of rebleeding before aneurysm occlusion. Lowering the blood pressure may reduce the risk of rebleeding but carries a risk of inducing delayed cerebral ischemia or aggravating the consequences of early brain injury. Early brain injury after aneurysmal rupture has an important effect on final clinical outcome. Proper cerebral perfusion is pivotal in these initial hours after aneurysmal rupture but threatened by complications such as neurogenic pulmonary edema and cardiac stunning, or by acute hydrocephalus, which may necessitate early drainage of cerebrospinal fluid.
Fallopian Canal Meningocele Causing Cerebrospinal Fluid Rhinorrhoea
Authors: Saro-Buendía Miguel , Torres-García Lidia , Almanzo Santiago , Mora Aristizabal Daniel Felipe , de Paula Vernetta Carlos , Armengot Carceller Miguel 
Published: June 2023

AbstractFallopian canal meningocele is an extremely rare cause of cerebrospinal fluid rhinorrhoea. Also, due to complex anatomical relations and a lack of experience, its management remains a challenge. Here we report a case focusing on its clinical course, radiological features, and management.
Relapsed Acute Lymphoblastic Leukemia
Authors: Sidhu Jasmeet , Gogoi Manash Pratim , Krishnan Shekhar , Saha Vaskar 
Published: June 2023

AbstractOutcomes for children with acute lymphoblastic leukemia (ALL) have improved worldwide to >85%. For those who relapse, outcomes have remained static at ~50% making relapsed acute lymphoblastic leukemia one of the leading causes of death in childhood cancers. Those relapsing within 18 mo in the bone marrow have a particularly dismal outcome. The mainstay of treatment is chemotherapy, local radiotherapy with or without hematopoietic stem cell transplantation (HSCT). Improved biological understanding of mechanisms of relapse and drug resistance, use of innovative strategies to identify the most effective and least toxic treatment regimens and global partnerships are needed to improve outcomes in these patients. Over the last decade, new therapeutic options and strategies have been developed for relapsed ALL including immunotherapies and cellular therapies. It is imperative to understand how and when to use these newer approaches in relapsed ALL. Increasingly, integrated precision oncology strategies are being used to individualize treatment of patients with relapsed ALL, especially in patients with poor response disease.
An integrated analysis of microRNAs regulating DNA damage response in triple-negative breast cancer
Authors: Kuthethur Raviprasad , Jerome Maria Sona , Subbannayya Yashwanth , Chakrabarty Sanjiban 
Published: June 2023

Abstract
Background
Triple-negative breast cancer (TNBC) remains a clinical challenge due to its aggressive phenotype and limited treatment options for the patients. Many TNBC patients show an inherent defect in the DNA repair capacity primarily by acquiring germline mutations in BRCA1 and BRCA2 genes leading to Homologous Recombination Deficiency (HRD). Epigenetic modifications such as BRCA1 promoter methylation and miRNA expression targeting DNA repair pathway genes have contributed to the HRD phenotype in TNBC. Hence, we aimed to identify microRNAs that are associated with HRD status in the TCGA-BRCA project.

Materials and methods
We implemented a miRNA prediction strategy for identifying miRNAs targeting HR pathway genes using an in silico predicted and experimentally validated list from published literature for their association with genomic instability and factors affecting HRD. In silico analysis was performed to study miRNA expression patterns regulated by DNA methylation and TMB status in the TNBC patients from TCGA-BRCA project. Finally, we analysed selected miRNA expression with immune cell infiltration pattern in the TNBC patient cohort.

Results
Our study identified miRNAs associated with HRD, tumour mutation burden (TMB), and immune cell infiltration. Identified miRNA signatures were associated with the miR-17 ~ 92 cluster, miR-106b ~ 25 cluster, and miR-200b ~ 429 cluster. Pathway analysis of selected miRNAs suggested their association with altered immune cell infiltration in TNBC.

Conclusion
Our study identified 6 ‘HRD associated miRNAs’ such as miR-106b, miR-93, miR-17, miR-20a, miR-200b, and miR-429 as novel miRNA-based signatures associated with HR deficiency in TNBC.
Optimal segmented efficiency in hydrosystem area equivalents to capture real production peaks
Authors: Blom Evelin , Söder Lennart 
Published: June 2023

AbstractModeling large energy systems requires different forms of simplifications and aggregations. This is especially true for large hydropower systems. One way to simplify the modeling of hydropower as a part of large scale energy systems is to utilize so-called Equivalent models. The hydropower Equivalent model is a simplified hydropower area model with only one (or a few stations) which aims to mimic the behavior of an Original more detailed model containing all stations in a specific area. However, one drawback has been that the Equivalent model fails to match the highest production peaks of the real Original system. Methods to increase the maximum peaks in the Equivalent model have so far resulted in overall lower performance, where the production during lower peaks instead would be overestimated. Thus, in this paper, a method for computing hydrosystem area Equivalent models that not only have good average performance but also can capture the production peaks of the real hydropower system is developed. The new method allows for optimal partition and efficiency of different segments in the hydropower marginal production function.
A review of how we study coastal and marine conflicts: is social science taking a broad enough view?
Authors: Dahlet Lol Iana , Selim Samiya A. , van Putten Ingrid 
Published: June 2023

AbstractConflict in the marine environment is of increasing relevance as blue growth boundaries are pushed and resource access and use are in dispute. Social science disciplines have a long history and a wide range of approaches for studying conflict. However, understanding the approaches used to study marine conflict is challenging since the literature is large, broad, difficult to navigate, and there is little connection between conflict themes and the associated methods used to analyze these conflicts. In the present study, we take a first step to address this by systematically reviewing 109 peer-reviewed articles that employ empirical social science methods to study marine conflict. We find that studies on marine conflicts have centered on disputed space, mainly at local scale, and natural resources, such as fish. The main parties at the center of the conflicts are small-scale fisheries and public authorities, although with a growing presence of blue growth sectors. Most studies employed qualitative approaches to study marine conflicts. Current gaps in the understanding of marine conflict include gaps in understanding relational interactions and historical causal events. The need for social science research into marine conflict and the application of multiple social science methods is ongoing as different constellations of conflict actors emerge and as disputed ocean spaces expand beyond EEZs, to include polar regions, and the sea floor.
Competitiveness Through Development of Strategic Talent Management and Agile Management Ecosystems
Authors: Rožman Maja , Tominc Polona , Štrukelj Tjaša 
Published: June 2023

AbstractOrganizations thrive on attaining and sustaining competitiveness because of the turbulent, rapidly changing business environment. The research shows that it is possible to improve organizations’ competitiveness by considering the multidimensional model viewpoints, which include the strategic talent management ecosystem viewpoints and the strategic agile management ecosystem viewpoints. The multidimensional model includes the essential constructs for developing strategic talent management, i.e., acquiring talented employees, target development of talented employees, designing talent teams, and talent leadership, as well as the following essential constructs for developing strategic agile management, i.e., designing agile teams, agile leadership, and support agile management culture. The research was implemented on 532 owners/managers in organizations. Structural equation modeling was used to test the hypotheses. Results show that developing a strategic talent management ecosystem positively affects developing a strategic agile management ecosystem and leads to higher organization competitiveness. A developed multidimensional model will help owners and managers comprehensively embrace and implement agility in their organization to increase competitiveness.
Forward Action to Stabilize multiple Time-Delays MIMO Systems
Authors: Bucolo Maide , Buscarino Arturo , Fortuna Luigi , Frasca Mattia 
Published: June 2023

AbstractIn this paper, the problem of closed-loop stability of linear time-invariant systems with multiple time-delays is studied. We prove that stability of closed-loop configurations of such systems with unitary feedback can be guaranteed by means of a forward control action. The case of single-input single-output (SISO) systems is first considered, and then, an extension to the more general case of multi-input multi-output (MIMO) systems with multiple time-delays is dealt with. Numerical examples illustrating the theoretical results are also discussed.
Autobiographical memory specificity and restrained eating: examining the influence of priming with images of healthy and unhealthy foods
Authors: Wallis Deborah J. , Moss Jessica , Varnam Bethany , Dritschel Barbara , Ridout Nathan 
Published: June 2023

Abstract
Background
Dietary restraint has been linked to deficits in the ability to recall detailed memories of personally experienced events (referred to as autobiographical memory specificity). As priming with healthy foods increases the salience of restraint it would be expected to lead to greater deficits in memory specificity.

Objective
To determine if priming word cues with images of healthy or unhealthy foods would influence the specificity of memory retrieval, and if deficits in memory specificity would be more evident in those reporting higher levels of dietary restraint, or currently dieting.

Methods
Sixty female undergraduates self-reported if they were currently dieting and completed measures of mood, restraint, and disinhibition, and a modified version of the autobiographical memory task. Participants were presented with positive and negative words (unrelated to eating concerns) and asked to retrieve a specific memory in response to each cue. A food image was shown prior to each word cue; half of the participants were primed with images of healthy foods and half with images of unhealthy foods.

Results
As expected, participants primed with healthy foods retrieved fewer specific memories than did those primed with unhealthy foods. However, neither restraint nor current dieting behaviour was associated with memory specificity.

Conclusions
Differences in memory specificity between the priming conditions cannot be explained in terms of increased salience of restraint. However, it is plausible that unhealthy images led to an increase in positive affect, which in turn improved memory specificity.

Level of evidence
Level I: Evidence obtained from: at least one properly designed experimental study.
Relationship between monounsaturated fatty acids and sarcopenia: a systematic review and meta-analysis of observational studies
Authors: Ali Sawan , Corbi Graziamaria , Medoro Alessandro , Intrieri Mariano , Scapagnini Giovanni , Davinelli Sergio 
Published: June 2023

AbstractAccumulating evidence suggests that fatty acids (FAs) play an essential role in regulating skeletal muscle mass and function throughout life. This systematic review and meta-analysis aimed to examine the relationship between dietary or circulatory levels of monounsaturated FAs (MUFAs) and sarcopenia in observational studies. A comprehensive literature search was performed in three databases (PubMed, Scopus, and Web of Science) from inception until August 2022. Of 414 records, a total of 12 observational studies were identified for this review. Ten studies were meta-analysed, comprising a total of 3704 participants. The results revealed that MUFA intake is inversely associated with sarcopenia (standardized mean difference = − 0.28, 95% CI − 0.46 to − 0.11; p < 0.01). Despite the limited number of studies, our results suggest that lower MUFA intake is associated with a higher risk of sarcopenia. However, the available evidence is still insufficient and further investigations are needed to demonstrate this relationship.
Impact-Pose Estimation Using ArUco Markers in Structural Dynamics
Authors: Čepon G. , Ocepek D. , Kodrič M. , Demšar M. , Bregar T. , Boltežar M. 
Published: June 2023

AbstractIn structural dynamics a structure’s dynamic properties are often determined from its frequency-response functions (FRFs). Commonly, FRFs are determined by measuring a structure’s response while it is subjected to controlled excitation. Impact excitation performed by hand is a popular way to perform this step, as it enables rapid FRF acquisition for each individual excitation location. On the other hand, the precise location of impacts performed by hand is difficult to estimate and relies mainly on the experimentalist’s skills. Furthermore, deviations in the impact’s location and direction affect the FRFs across the entire frequency range. This paper proposes the use of ArUco markers for an impact-pose estimation for the use in FRF acquisition campaign. The approach relies on two dodecahedrons with markers on each face, one mounted on the impact hammer and another at a known location on the structure. An experimental setup with an analog trigger is suggested, recording an image at the exact time of the impact. A camera with a fixed aperture is used to capture the images, from which the impact pose is estimated in the structure’s coordinate system. Finally, a procedure to compensate for the location error is presented. This relies on the linear dependency of the FRFs in relation to the impact offset.
Towards Improving Motor Imagery Brain–Computer Interface Using Multimodal Speech Imagery
Authors: Tong Jigang , Xing Zhengxing , Wei Xiaoying , Yue Chao , Dong Enzeng , Du Shengzhi , Sun Zhe , Solé-Casals Jordi , Caiafa Cesar F. 
Published: June 2023

Abstract
Purpose
The brain–computer interface (BCI) based on motor imagery (MI) has attracted extensive interest due to its spontaneity and convenience. However, the traditional MI paradigm is limited by weak features in evoked EEG signal, which often leads to lower classification performance.

Methods
In this paper, a novel paradigm is proposed to improve the BCI performance, by the speech imaginary combined with silent reading (SR) and writing imagery (WI), instead of imagining the body movements. In this multimodal (imaginary voices and movements) paradigm, the subjects silently read Chinese Pinyin (pronunciation) and imaginarily write the Chinese characters, according to a cue.

Results
Eight subjects participated in binary classification tasks, by carrying out the traditional MI and the proposed paradigm in different experiments for comparison. 77.03% average classification accuracy was obtained by the new paradigm versus 68.96% by the traditional paradigm.

Conclusion
The results of experiments show that the proposed paradigm evokes stronger features, which benefits the classification. This work opens a new view on evoking stronger EEG features by multimodal activities/stimuli using specific paradigms for BCI.
The effect of climate change on groundwater resources availability: a case study in the city of Brescia, northern Italy
Authors: Faquseh Hamzah , Grossi Giovanna 
Published: June 2023

AbstractThe impact of climate change on water availability is alarming, both globally and locally. The city of Brescia has a large reserve of water deriving from the aquifer, the presence of springs and numerous streams, for a water supply system serving 200,000 inhabitants. The aim of this study was to project Brescia’s spring discharge for two future periods 2040–2060 and 2080–2100. Observed climate components of precipitation and temperature for 20 years 2000–2020 with future data from regional climate model RCM runs on CORDEX database for three Representative Concentration Pathway RCP (RCP2.6, RCP4.5, RCP8.5) were analyzed. The future scenarios show an increment of temperature with an increment of winter’s precipitation and a decrement for summer’s precipitation. This future change in climate components will impact the water balance that impacts the runoff, evapotranspiration, and groundwater recharge. The two main springs of the city of Brescia are Mompiano and Cogozzo used to supply 50% of the water demand of the city in the past while it is occupied about 14% now. This drop was due to the growth of water needs, urbanization that affects the groundwater recharge and climate change. In the future, based on the study carried out, the results show a few impacts on water discharge from Mompiano and Cogozzo springs for the two periods and its clearer under RCP4.5 for period 2040–2060 that shows a decrease of about 7.8% and 3.94% respectively. This shows the importance of having a proper water resources management system to satisfy the water demand.
Differential network analysis between sex of the genes related to comorbidities of type 2 mellitus diabetes
Authors: Guzzi Pietro Hiram , Cortese Francesca , Mannino Gaia Chiara , Pedace Elisabetta , Succurro Elena , Andreozzi Francesco , Veltri Pierangelo 
Published: June 2023

AbstractBackgroundSome phenotypical changes may be related to changes in the associations among genes. The set of such associations is referred to as gene interaction (or association) networks. An association network represents the set of associations among genes in a given condition. Given two experimental conditions, Differential network analysis (DNA) algorithms analyse these differences by deriving a novel network representing the differences. Such algorithms receive as input experimental gene-expression data of two different conditions (e.g. healthy vs. diseased), then they derive experimental networks of associations among genes and, finally, they analyse differences among networks using statistical approaches. We explore the possibility to study possible rewiring due to sex factors, differently from classical approaches.MethodsWe apply DNA methods to evidence possible sex based differences on genes responsible for comorbidities of type 2 diabetes mellitus.ResultsOur analysis evidences the presence of differential networks in tissues that may explain the difference in the insurgence of comorbidities between males and females.ConclusionMain contributions of this work are (1) the definition of a novel framework of analysis able to shed light on the differences between males and females; (2) the identification of differential networks related to diabetes comorbidities.