bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bloodstream infections in neutropenic and non-neutropenic patients with haematological malignancies: epidemiological trends and clinical outcomes in Queensland, Australia over the last 20 years
Authors: Peri Anna Maria , Edwards Felicity , Henden Andrea , Harris Patrick N. A. , Chatfield Mark D. , Paterson David L. , Laupland Kevin B. 
Published: October 2023

AbstractKnowledge of the epidemiology of bloodstream infection (BSI) in haematology patients is essential to guide patient management. We investigated the epidemiology of BSI in patients with haematological malignancies in Queensland over the last 20 years (2000–2019), including all episodes diagnosed by the state-wide microbiology service. We identified 7749 BSI in 5159 patients, 58% associated with neutropenia. Gram-negatives were the main causative pathogens (58.3%), more frequent in neutropenic than non-neutropenic patients (3308/5309, 62.3% vs 1932/3678, 52.5%, p < 0.001). Amongst 8987 isolates the most common were E.coli (15.4%) and Pseudomonas spp. (14.2%). Pseudomonas spp. (16.6% vs 10.7%, p < 0.001), Klebsiella spp. (11.6% vs 6.8%, p < 0.001), viridans-group streptococci (4.4% vs 1.2%, p < 0.001) and E.faecium (2.4% vs 0.9%, p < 0.001) were more common in neutropenic than non-neutropenic patients, while S.aureus was less common (5.9% vs 15.6%, p < 0.001). Several antimicrobial resistance rates increased over time and had higher prevalence in neutropenic than non-neutropenic patients, including ciprofloxacin-resistant E.coli (94/758, 12.4% vs 42/506, 8.3%, p = 0.021), trimethoprim-sulfamethoxazole-resistant E.coli (366/764, 47.9% vs 191/517, 36.9%, p < 0.001), penicillin-resistant streptococci (51/236, 21.6% vs 28/260, 10.8%, p < 0.001) and vancomycin-resistant enterococci (46/250, 18.4% vs 9/144, 6.3%, p < 0.001). Carbapenem-resistant Pseudomonas spp. (OR 7.32, 95%CI 2.78–19.32) and fungi, including yeasts and moulds (OR 3.33, 95%CI 2.02–5.48) were associated to the highest odds of 30-day case-fatality at a multivariable logistic regression analysis. Neutropenia was associated with survival (OR 0.66, 95%CI 0.55–0.78). Differences were observed in the BSI epidemiology according to neutropenic status, with an overall increase of resistance over time associated to adverse outcome.
Energy efficient power cap configurations through Pareto front analysis and machine learning categorization
Authors: Cabrera Alberto , Almeida Francisco , Castellanos-Nieves Dagoberto , Oleksiak Ariel , Blanco Vicente 
Published: October 2023

AbstractThe growing demand for more computing resources has increased the overall energy consumption of computer systems. To support this increasing demand, power and energy consumption must be considered as a constraint on software execution. Modern architectures provide tools for managing the power constraints of a system directly. The Intel Power Cap is a relatively new tool developed to give users fine-grained control over power usage at the central processing unit (CPU) level. The complexity of these tools, in addition to the high variety of modern heterogeneous architectures, hinders predictions of the energy consumption and the performance of any target software. The application of power capping technologies usually leads to the bi-objective optimization problem for energy efficiency and execution time but optimal power constraints could also produce exceeding performance losses. Thus, methods and tools are needed to calculate the proper parameters for power capping technologies, and to optimize energy efficiency. We propose a methodology to analyze the performance and the energy efficiency trade-offs using this power cap technology for a given application. A Pareto front is extracted for the multi-objective performance and energy problem, which represents multiple feasible configurations for both objectives. An extensive experimentation is carried out to categorize the different applications to determine the overall optimal power cap configurations. We propose the use of machine learning (ML) clustering techniques to categorize each application in the target architecture. The use of ML allows us to automate the process and simplifies the effort required to solve the optimization problem. A practical case is presented where we categorize the applications using ML techniques, with the possibility of adding a new application into an existing categorization.
Calabi–Yau operators of degree two
Authors: Almkvist Gert , van Straten Duco 
Published: October 2023

AbstractWe show that the solutions to the equations, defining the so-called Calabi–Yau condition for fourth-order operators of degree two, define a variety that consists of ten irreducible components. These can be described completely in parametric form, but only two of the components seem to admit arithmetically interesting operators. We include a description of the 69 essentially distinct fourth-order Calabi–Yau operators of degree two that are presently known to us.
An ontology for defining and characterizing demonstration environments
Authors: Nie Wei , De Vita Katharina , Masood Tariq 
Published: October 2023

AbstractDemonstration Environments (DEs) are essential tools for testing and demonstrating new technologies, products, and services, and reducing uncertainties and risks in the innovation process. However, the terminology used to describe these environments is inconsistent, leading to heterogeneity in defining and characterizing them. This makes it difficult to establish a universal understanding of DEs and to differentiate between the different types of DEs, including testbeds, pilot-plants, and living labs. Moreover, existing literature lacks a holistic view of DEs, with studies focusing on specific types of DEs and not offering an integrated perspective on their characteristics and applicability in different contexts. This study proposes an ontology for knowledge representation related to DEs to address this gap. Using an ontology learning approach analyzing 3621 peer-reviewed journal articles, we develop a standardized framework for defining and characterizing DEs, providing a holistic view of these environments. The resulting ontology allows innovation managers and practitioners to select appropriate DEs for achieving their innovation goals, based on the characteristics and capabilities of the specific type of DE. The contributions of this study are significant in advancing the understanding and application of DEs in innovation processes. The proposed ontology provides a standardized approach for defining and characterizing DEs, reducing inconsistencies in terminology and establishing a common understanding of these environments. This enables innovation managers and practitioners to select appropriate DEs for their specific innovation goals, facilitating more efficient and effective innovation processes. Overall, this study provides a valuable resource for researchers, practitioners, and policymakers interested in the effective use of DEs in innovation.
A mixed-integer approximation of robust optimization problems with mixed-integer adjustments
Authors: Kronqvist Jan , Li Boda , Rolfes Jan 
Published: October 2023

AbstractIn the present article we propose a mixed-integer approximation of adjustable-robust optimization problems, that have both, continuous and discrete variables on the lowest level. As these trilevel problems are notoriously hard to solve, we restrict ourselves to weakly-connected instances. Our approach allows us to approximate, and in some cases exactly represent, the trilevel problem as a single-level mixed-integer problem. This allows us to leverage the computational efficiency of state-of-the-art mixed-integer programming solvers. We demonstrate the value of this approach by applying it to the optimization of power systems, particularly to the control of smart converters.
State-of-the-art in the accumulation of lipids and other bioproducts from sustainable sources by Yarrowia lipolytica
Authors: Naveira-Pazos Cecilia , Robles-Iglesias Raúl , Fernández-Blanco Carla , Veiga María C. , Kennes Christian 
Published: October 2023

AbstractEnergy and environmental issues related to conventional fossil-derived products and fuels have led researchers to focus on alternative, more environmentally-friendly processes, such as the production of microbial oils from renewable feedstocks or even pollutants as sustainable sources of biofuels, allowing to progressively move away from the use of fossil fuels. Among the oleaginous yeasts, Yarrowia lipolytica is a highly promising cell factory and microbial oil producer because of its high capacity to accumulate lipids for subsequent biofuel production. Y. lipolytica also stands out for its ability to assimilate various carbon sources, even at low cost, reaching lipid concentrations of at least 30% by weight with non-genetically modified strains, and even much higher values with engineered organisms. Among others, fatty acids have attracted recent interest as substrates for their lower cost and possible production from pollutants compared to sugars. This review pays special attention to some of those emerging carbon sources, i.e., carboxylic acids and even greenhouse gases. Besides, another focus is to provide detailed up to date information on the main characteristics and factors that most influence the fermentation process of this yeast, with the ultimate aim of optimising the bioconversion process and the synthesis of useful metabolites. Besides, the reader will find comprehensive information on the industrial applicability of the synthesised lipids, in addition to the production of biofuels. Apart from lipids, other metabolites of interest that can be synthesised by Y. lipolytica are also discussed.
Is Lack of Literature Engagement a Reason for Rejecting a Paper in Philosophy?
Authors: Lundgren Björn 
Published: October 2023

AbstractAlthough philosophy cites less than most other academic subjects, many scholars still take a lack of reference to and engagement with the relevant literature as a reason to reject a paper in philosophy. Here I argue against that idea. Literature requests should only in rare circumstances be an absolute requirement, and a lack of (engagement with) references is not a good reason to reject a paper. Lastly, I briefly discuss whether an author has reasons to provide references, and I argue that although there are special circumstances in which we ought to avoid referencing papers, there are strong reasons in favor of engaging with the literature. Hence there is an asymmetry between what the author has a reason to do in writing a paper and how reviewers and editors ought to evaluate it.
Difference-Making Conditionals and Connexivity
Authors: Rott Hans 
Published: October 2023

AbstractToday there is a wealth of fascinating studies of connexive logical systems. But sometimes it looks as if connexive logic is still in search of a convincing interpretation that explains in intuitive terms why the connexive principles should be valid. In this paper I argue that difference-making conditionals as presented in Rott (Review of Symbolic Logic 15, 2022) offer one principled way of interpreting connexive principles. From a philosophical point of view, the idea of difference-making demands full, unrestricted connexivity, because neither logical truths nor contradictions or other absurdities can ever ‘make a difference’ (i.e., be relevantly connected) to anything. However, difference-making conditionals have so far been only partially connexive. I show how the existing analysis of difference-making conditionals can be reshaped to obtain full connexivity. The classical AGM belief revision model is replaced by a conceivability-limited revision model that serves as the semantic base for the analysis. The key point of the latter is that the agent should never accept any absurdities.
Protectionism and Cross-Border Mergers and Acquisitions Undertaken by US Multinational Enterprises: The Moderating Role of Intellectual Property Rights Protection
Authors: Arslan Ahmad , Bazel-Shoham Ofra , Imes Matthew , Lee Sang Mook , Shoham Amir 
Published: October 2023

AbstractThis paper examines the impact of protectionism and intellectual property right (IPR) protection in host markets on cross-border mergers and acquisitions (CB M&As). CB M&As have become important vehicles for firms to expand into foreign markets and acquire strategic assets. In recent years, the topic has attracted significant scholarly interest. Recently, many countries have enacted protectionist measures to protect local firms and jobs. Consequently, the impact such measures have on economic activities is under debate in the literature. This study leverages the vital context of CB M&As undertaken by US multinational enterprises (MNEs) between 2011 and 2017 in 49 host countries. The findings indicate that host country IPR protection has a much more substantial and positive impact on CB M&A activities undertaken by USA MNEs than the protectionist policies of the host country by itself. The findings further suggest that, although local protectionism, by itself, does not play a significant role in CB M&As, its presence strengthens the positive effect of IPR protection on CB M&A activities in the host country, thereby supporting the contingent role of such protection. These findings have important implications for research, practice, and policy.
Outcomes of totally robotic Roux-en-Y gastric bypass in patients with BMI ≥ 50 kg/m2: can the robot level out “traditional” risk factors?
Authors: Kauffels Anne , Reichert Martin , Sauerbier Lisa , Hauenschild Annette , Hecker Andreas , Strowitzki Moritz J. , Sprenger Thilo 
Published: October 2023

AbstractRoux-en-Y gastric bypass (RYGB) in patients with body mass index (BMI) ≥ 50 kg/m2 is a challenging procedure and BMI ≥ 50 kg/m2 has been identified as independent risk factor for postoperative complications and increased morbidity in previous studies. The objective of the present study was to assess whether a BMI ≥ 50 kg/m2 and various established risk factors maintain their significance in patients undergoing fully robotic RYGB (rRYGB). A single-center analysis of prospectively collected data of 113 consecutive patients undergoing standardized rRYGB with robotic stapling technique and hand-sewn gastrojejunostomy using the daVinci Xi system. Surgical outcomes were analyzed considering a number of individual perioperative risk factors including BMI ≥ 50 kg/m2. The mean BMI of the total cohort was 50.6 ± 5.5 kg/m2 and 63.7% of patients had a BMI ≥ 50 kg/m2. There were no major surgical and perioperative complications in patients with BMI ≥ 50 kg/m2 as well as in those with BMI < 50 kg/m2 after rRYGB. We identified female sex and surgeon experience but neither body weight, BMI, metabolic disorders, ASA nor EOSS scores as independent factors for shorter operation times (OT) in multivariate analyses. Complication rates and length of hospital stay (LOS) did not significantly differ between patients with potential risk factors and those without. rRYGB is a safe procedure in both, patients with BMI ≥ 50 kg/m2 and with BMI < 50 kg/m2. Higher body weight and BMI did affect neither OT nor LOS. A fully robotic approach for RYGB might help to overcome “traditional” risk factors identified in conventional laparoscopic bariatric surgery. However, larger and prospective studies are necessary to confirm these results.
Epilogue: Chicken or Egg? The Role of Newcomer Migrants in the Revitalization of ‘Left-Behind’ Areas
Authors: Zoomers Annelies 
Published: October 2023

Abstract
This contribution questions the common assumptions and practices concerning the hosting of newcomers in depopulated, remote and disinvested places in order to revitalize these places. While newcomers can contribute to new socioeconomic vitality in marginalised areas, they should not be taken as the only or main solution. Drawing on the debate surrounding the migration–development nexus, which has mainly been applied in global South contexts, I advocate demigrantizing our thinking and debunking the divide between newcomers and locals. Rather than focusing on the integration of migrants, emphasis should be put on how diverse members of these changing communities, regardless of their length of residence, can attract the right (e.g. sustainable and inclusive) projects and investors. I argue that the reallocation of public funding, new (translocal) solidarities and people-based investment plans are imperative if we are to solve the problem of growing poverty and inequality in Europe.
Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes
Authors: Zhu Chengcun , Sun Zhou , Wang Jie , Meng Xiangdi , Ma Zhaosen , Guo Rui , Niu Jiqiang , Tran Lisa Jia , Zhang Jing , Jiang Tianxiao , Liu Yunfei , Ye Fangdie , Ma Baoluo 
Published: October 2023

AbstractG protein-coupled receptors (GPCRs) are a class of receptors on cell membranes that regulate various biological processes in cells, such as cell proliferation, differentiation, migration, apoptosis, and metabolism, by interacting with G proteins. However, the role of G protein-coupled receptors in predicting the prognosis of renal clear cell carcinoma is still unknown. The transcriptome data and clinical profiles of renal clear cell carcinoma patients, were downloaded from TCGA databases, and the validation group data were downloaded from number GSE167573, including 63 tumor samples and 14 normal samples. Single-cell RNA sequencing data were downloaded from the GEO database, No. GSE152938 and selected samples were used for GSEA enrichment analysis, WGCNA subgroup analysis, single-cell data analysis, and mutation analysis to explore the role of G protein-coupled receptor-related genes in the diagnosis and prognosis of renal clear cell carcinoma and to verify their reliability with cellular experiments. Finally, this study establishes a disease model based on G protein-coupled receptor-related genes, which may help to propose targeted therapeutic regimens in different strata of renal cell carcinoma patients.Author names: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author: Given name [Lisa Jia] Last name [Tran].It's ok!
Relation between increasing attachment security and weight gain: a clinical study of adolescents and their parents at an outpatient ward
Authors: Gezelius Christina M. E. , Wahlund Björn A. , Wiberg Britt M. 
Published: October 2023

Abstract
Purpose
We wanted to evaluate the impact of a relational focus in the treatment of adolescent ED-patients and their parents at an intensive outpatient ward, based on attachment theory, combined with a family approach and psychodynamic principles. Our aim was to investigate the distribution of different attachment styles among the adolescent ED-patients and their parents, and to find out if they could change by the treatment.

Methods
Swedish adolescents (n = 33; 3 boys, 30 girls) and their parents (n = 60; 34 mothers, 26 fathers) participated. Measures: Attachment Style Questionnaire (ASQ), Body Mass Index (BMI) and Children’s Global Assessment Scale (CGAS) before and after treatment.

Results
The adolescents were high on Need for Approval (ASQ4) of the Insecure/Anxious scale before treatment (in contrast to the parents). The patients had a significant decrease in ASQ4 after treatment, which correlated inversely to the increase in BMI but not to CGAS. The mothers showed features of the Secure/Confident style, fathers of the Insecure/Avoidant with elevated Relationships as Secondary (ASQ2).

Conclusions
Treatment with a relational and a family focus has impact on attachment insecurity in adolescent ED-patients and outcomes in terms of BMI. It is important to engage the parents, who need to help the adolescents to separate at that developmental stage. A secure therapeutic context, which enables mentalizations and allows new relational experiences, is essential. The ASQ-instrument is useful in indicating how the treatment of ED-adolescents is proceeding.

Level of evidence
Level IV: evidence obtained from multiple time series with the intervention.
A prefrontal cortex alpha/delta switch controls the transition from positive to negative affective states
Authors: Burgdorf Jeffrey S. , Moskal Joseph R. 
Published: October 2023

AbstractPositive and negative emotional states in rats can be studied by investigating ultrasonic vocalizations (USVs). Positive affect in rats is indexed by 50 kHz hedonic USVs, and negative affect is indexed by 22 kHz aversive calls. We examined the relationship of emotional states in rats using medial prefrontal cortex (MPFC) quantitative electroencephalograms (qEEG) and found that hedonic USVs were associated with active wake qEEG (high alpha/low delta power), and aversive USVs occurred with groggy wake qEEG (low alpha/high delta). Further, alpha frequency electrical stimulation of the MPFC induces hedonic calls and reward-seeking behavior, whereas delta frequency stimulation produces aversive calls and avoidance behavior. The brain region responsible for generating motor output for USVs, the periaqueductal gray (PAG), shows a motor-evoked potential that is temporally locked to the alpha (hedonic) and delta (aversive) motor-evoked potential. Closed-loop alpha frequency electrical stimulation could prevent delta qEEG and aversive USVs. At the neuronal circuit level, the alpha rhythm was associated with synaptic long-term potentiation (LTP) in the cortex, whereas the delta rhythm was associated with synaptic depotentiation (LTD) in the cortex. At the pharmacological level, NMDAR and growth factor modulation regulated these forms of neuroplasticity. At the single neuron level, excitatory neurons show increased activity in response to alpha frequencies and decreased activity during delta frequencies. In humans, the feeling of joy increased alpha and decreased delta power in frontal scalp qEEG, and the opposite response was seen for sadness. Thus, the synchronization of alpha/delta oscillations through the neuronal circuit responsible for emotional expression coordinates emotional behavior, and the switch between active wake/positive affect and groggy wake/negative affect is under the control of an LTP- LTD synaptic plasticity mechanism.
The spatial linkage of Taobao Villages in Haining City based on the operation process
Authors: Zhu Chasong , Wang Xin , Wang De , Zhong Weijing 
Published: October 2023

AbstractAs an industrial phenomenon with rich Chinese characteristics, Taobao Villages have formed a complete industrial chain from production to sale and core goods to supporting industries, bringing extensive spatial linkage and profound influence. Through questionnaire surveys and interviews, the paper obtained first-hand data on Taobao Village stores in Haining City and explored the spatial linkage characteristics of Taobao Village’s industrial chain from the operation process perspective. The results revealed that the operation process of online stores can be divided into four core parts: research & development or sampling, production or purchasing, online sale, and delivery. The main operation parts of self-production and sales stores and local-dependent online market-oriented stores were in Haining City, forming close industrial linkages, whereas for nonlocal-dependent online market-oriented stores, only a few parts of the operation process were in Haining. Accordingly, Taobao Villages and Haining City undertook all parts of the operation, becoming a complex space and also the main area realizing a strong spatial linkage among Taobao Villages. The area outside Jiaxing City is mainly a sales market (Hangzhou City provides a sales platform), and their connection with Taobao Village relies primarily on the Internet. To form a more extensive spatial linkage and play a leading role, Haining City should encourage the self-production and sales stores and local-dependent online market-oriented stores to create a locally-rooted production system or industrial cluster.