bluuebunny/crossref_metadata_2025_split huggingface dataset:
Al2O3‐Coated, Single Crystal Zr/Y co‐Doped High‐Ni NCM Cathode Materials for High‐Performance Lithium‐Ion Batteries
Authors: Zhou Guishu , Wei Yanwei , Li Hanwen , Wang Changyao , Huang Xianwu , Yang Dong 
Published: May 2022

AbstractHigh Ni‐layered oxides are promising cathode candidates for lithium‐ion batteries (LIBs) owing to their high‐specific capacity, high energy density, and low cost. However, their thermal and cycling performances often suffer from the inevitable interfacial reactions, oxygen loss, transition metal dissolution, and irreversible H2‐H3 lattice distortion. Herein, small doses of Zr/Y co‐doped and Al2O3 coated single‐crystal high‐Ni NCM (LiNi0.83Co0.12Mn0.05O2) materials (ZrY‐NCM@Al) are synthesized via a facile high‐temperature solid‐state reaction. The Al2O3 surface coating works as a protective layer to inhibit the side reaction on the interface between electrodes and electrolytes. The Zr/Y co‐doping improves the structural stability of the NCM and suppresses the irreversible structure transition from H2 to H3. When ZrY‐NCM@Al is used as a cathode, the square‐aluminum‐shell full battery with artificial graphite anode exhibits a high capacity of 50 Ah and a high energy density of 230 Wh kg−1. After 1000 cycles at 45 °C and 1 C constant current and constant voltage (CCCV), the battery retained 89.2% of its capacity and an energy density of 204 Wh kg−1, demonstrating excellent thermal and cycling performances. This study paves a novel route to the fabrication of high‐Ni cathode materials for LIBs with excellent cycling and thermal stability.
Well‐Paired‐Seq: A Size‐Exclusion and Locally Quasi‐Static Hydrodynamic Microwell Chip for Single‐Cell RNA‐Seq
Authors: Yin Kun , Zhao Meijuan , Lin Li , Chen Yingwen , Huang Shanqing , Zhu Chun , Liang Xuan , Lin Fanghe , Wei Haopai , Zeng Huimin , Zhu Zhi , Song Jia , Yang Chaoyong 
Published: May 2022

AbstractSingle‐cell RNA sequencing (scRNA‐seq) is a powerful technology for revealing the heterogeneity of cellular states. However, existing scRNA‐seq platforms that utilize bead‐based technologies suffer from a large number of empty microreactors and a low cell/bead capture efficiency. Here, Well‐paired‐seq is presented, which consists of thousands of size exclusion and quasi‐static hydrodynamic dual wells to address these limitations. The size‐exclusion principle allows one cell and one bead to be trapped in the bottom well (cell‐capture‐well) and the top well (bead‐capture‐well), respectively, while the quasi‐static hydrodynamic principle ensures that the trapped cells are difficult to escape from cell‐capture‐wells, achieving cumulative capture of cells and effective buffer exchange. By the integration of quasi‐static hydrodynamic and size‐exclusion principles, the dual wells ensure single cells/beads pairing with high density, achieving excellent efficiency of cell capture (≈91%), cell/bead pairing (≈82%), and cell‐free RNA removal. The high utilization of microreactors and single cells/beads enable to achieve a high throughput (≈105 cells) with low collision rates. The technical performance of Well‐paired‐seq is demonstrated by collecting transcriptome data from around 200 000 cells across 21 samples, successfully revealing the heterogeneity of single cells and showing the wide applicability of Well‐paired‐seq for basic and clinical research.
Cooperation bias in regional policy: Is competition neglected?
Authors: Reiner Christian , Benner Maximilian 
Published: May 2022

AbstractRising market power across the OECD countries raises the question how industrial policies address the role of competition, including on the regional level. Based on a multifaceted understanding of competition and cooperation between firms in the conceptual literature, this article examines the role of competition-enhancing interventions in regional innovation policies under the smart specialisation approach. Drawing on quantitative and qualitative analysis of the strategic orientation of smart specialisation strategies in 18 European regions, the article finds that regional policies apply a range of competition-enhancing interventions but still fall short of seizing the ample room for encouraging intraregional interfirm competition. While theory suggests that competition and cooperation are complements in promoting regional innovation, the limited focus of regional policies on interfirm competition might imply a bias in favour of cooperation at the expense of the productivity-enhancing role of interfirm competition. Hence, we argue that regional policies could benefit from a rebalancing by considering the use of more competition-enhancing interventions. This finding is particularly relevant for the process of smart specialisation since balancing competition and cooperation provides an additional rationale for calls in the literature to prevent rent-seeking by incumbent firms in the policymaking process.
A generic asset model for implementing product digital twins in smart remanufacturing
Authors: Kerin Mairi , Pham Duc Truong , Huang Jun , Hadall Jeremy 
Published: May 2022

AbstractA digital twin is a “live” virtual replica of a sensorised component, product, process, human, or system. It accurately copies the entity being modelled by capturing information in real time, or near real time, from the entity, through embedded sensors and the Internet-of-Things. Many applications of digital twins in the manufacturing industry have been investigated. This article focuses on, and contributes to, the development of product digital twins to reduce the impact of quantity, quality, and demand uncertainties in remanufacturing. Starting from issues specific to remanufacturing, the article derives the functional requirements for a product digital twin for remanufacturing and proposes a Unified Modelling Language (UML) model of a generic asset to be remanufactured. The model is used in an example which highlights the need to translate existing knowledge and data into an integrated system to realise a product digital twin, capable of supporting remanufacturing process planning.
The effects of revealing the prosecution of political corruption on local finances
Authors: Artés Joaquín , Jiménez Juan Luis , Perdiguero Jordi 
Published: May 2022

AbstractThis paper analyzes the financial implications on local public budgets of disseminating information about the prosecution of political corruption at the local level. We build a database from a wave of corruption scandals in Spain to use a quasi-experimental design and find that after corruption is revealed, both local public revenues and expenditures decrease significantly (approximately by 7 and 5%, respectively) in corruption-ridden municipalities. The effect lasts for a period of time equivalent to a full electoral term and comes mostly from other economic agents’ unwillingness to fund or start new projects in municipalities where the prosecution of corruption has been revealed. These results imply that if one of the consequences of corruption is the inefficient allocation of funds to areas where corrupt politicians can extract more rents, the revelation of the corruption scandal frees up resources that can be used to fund activities with a higher social return.
Flavobacterium hungaricum sp. nov. a novel soil inhabitant, cellulolytic bacterium isolated from plough field
Authors: Máté Rózsa , Kutasi József , Bata-Vidács Ildikó , Kosztik Judit , Kukolya József , Tóth Erika , Bóka Károly , Táncsics András , Kovács Gábor , Nagy István , Tóth Ákos 
Published: May 2022

AbstractA Gram-negative bacterial strain, named Kb82, was isolated from agricultural soil and a polyphasic approach was used for characterisation and to determine its taxonomic position. Based on 16S rRNA gene sequence analysis, the highest similarity was found with Flavobacterium artemisiae SYP-B1015 (98.2%). The highest ANI (83.3%) and dDDH (26.5%) values were found with Flavobacterium ginsenosidimutans THG 01 and Flavobacterium fluviale HYN0086T, respectively. The isolate is aerobic with rod-shaped cells, positive for catalase and negative for oxidase tests. The DNA G+C content is 34.7 mol%. The only isoprenoid quinone is menaquinone 6 (MK-6). The major fatty acids are iso-C15:0, summed feature 3 (C16:1ω7c/C16:1ω6c) and iso-C17:0 3OH. The major polar lipid is phosphatidylethanolamine. On the bases of phenotypic characteristics and analysis of 16S rRNA gene sequences, it is concluded that strain Kb82T represents a novel species in the Flavobacterium genus, for which the name Flavobacterium hungaricum sp. nov. is proposed. The type strain of the species is strain Kb82T (= LMG 31576T = NCAIM B.02635T).
Glycerol-bound oxidized fatty acids: formation and occurrence in peanuts
Authors: Störmer Lars , Globisch Martin , Henle Thomas 
Published: May 2022

AbstractFor peanuts, roasted at 170 °C, the formation of selected glycerol-bound oxidized fatty acids (GOFAs), namely 9-oxononanoic acid (9-ONA), azelaic acid (AZA) and octanoic acid, was observed by GC-MS (EI). The content of octanoic acid as well as AZA increased with continuous roasting time (from 59 mg/kg peanut oil to 101 mg/kg peanut oil and from not detectable to 8 mg/kg peanut oil, respectively), whereas the content of 9-ONA initially decreased from 25 mg/kg peanut oil to 8 mg/kg peanut oil (20 min) and increased again up to 37 mg/kg peanut oil following roasting for 40 min. Due to its aldehyde function, 9-ONA could contribute to amino acid side chain modifications as a result of lipation, which could directly influence the functional properties of peanut proteins. Both 9-ONA and octanoic acid are potential markers of thermal processes. Furthermore, in model experiments using methyl linoleate and methyl oleate, up to 18 oxidized fatty acids could be identified as methyl esters, 9-ONA as well as octanoic acid as major components and a faster formation of GOFAs under roasting conditions (170 °C, 20 min). In addition, 9-ONA contributes to the formation of AZA and octanoic acid in both free and bound form as a result of oxidative subsequent reactions in presence of iron (III).
Dark halo, a new biomarker in macular neovascularization: comparison between OCT angiography and ICGA—a pilot prospective study
Authors: Fossataro Federica , Cennamo Gilda , Montorio Daniela , Clemente Lidia , Costagliola Ciro 
Published: May 2022

Abstract
Purpose
To compare optical coherence tomography angiography (OCTA) and indocyanine green angiography (ICGA) in terms of reliability in detecting dark halo in patients affected by age-related macular degeneration (AMD) complicated with type 1 macular neovascularization (MNV).

Methods
Eighty-nine eyes of 89 patients were analyzed at the University of Naples Federico II between January 2018 and October 2021. Each patient underwent a complete ophthalmological evaluation including fluorescein angiography, ICGA, spectral domain optical coherence tomography (SD-OCT), and OCTA. OCTA and ICGA images of dark halo were compared. The paired Student’s test and intraclass correlation coefficients were used to evaluate the differences in dark halo measurements between OCTA and ICGA images.

Results
Thirty-six eyes of 36 patients were included in this prospective study. Dark halo area was significantly larger in OCTA than in ICGA (1.49 ± 1.8 mm2 vs. 0.54 ± 0.5 mm2; p = 0.001). Moreover, the agreement between the two types of devices for measuring dark halo areas was poor, with a low intraclass coefficient correlation (0.397).

Conclusion
OCTA could be a useful and necessary tool to investigate dark halo in neovascular AMD due to its ability to visualize the areas of reduced vessel density around MNV in greater detail compared to ICGA.

Clinical trial registration
ClinicalTrials.gov Identifier: NCT05108285
Cerebrovascular function and its association with systemic artery function and stiffness in older adults with and without mild cognitive impairment
Authors: Bailey Tom G. , Klein Timo , Meneses Annelise L. , Stefanidis Kayla B. , Ruediger Stefanie , Green Daniel J. , Stuckenschneider Tim , Schneider Stefan , Askew Christopher D. 
Published: May 2022

Abstract
Purpose
Our aim was to compare cerebrovascular and systemic vascular function between older adults with and without mild cognitive impairment (MCI), and to determine which measures of vascular function best predict the presence of MCI.

Methods
In 41 adults with MCI and 33 adults without MCI (control) we compared middle cerebral artery velocity (MCAv) and cerebrovascular pulsatility index (PI) at rest, cerebrovascular reactivity to CO2, and responsiveness to changes in blood pressure (%∆MCAv/%∆MAP). Systemic vascular function was assessed by flow-mediated dilation (FMD) and stiffness by pulse wave velocity (PWV).

Results
Cerebrovascular PI was higher in MCI compared with control (mean ± SD: 1.17 ± 0.27 vs. 1.04 ± 0.21), and MCI exhibited a lower %∆MCAv/%∆MAP (1.26 ± 0.44 vs. 1.50 ± 0.55%). Absolute (p = 0.76) and relative cerebrovascular reactivity to CO2 (p = 0.34) was similar between MCI and control. When age was included as a covariate the significant difference in cerebral PI between groups was lost. PWV was higher (13.2 ± 2.2 vs. 11.3 ± 2.5 m s−1) and FMD% (4.41 ± 1.70 vs. 5.43 ± 2.15%) was lower in MCI compared with control. FMD% was positively associated with PI across the cohort. Logistic regression analysis indicated that FMD and PWV significantly discriminated between MCI and controls, independent of age, whereas the inclusion of cerebrovascular measures did not improve the predictive accuracy of the model.

Conclusion
These findings raise the possibility that early changes in systemic vascular stiffness and endothelial function may contribute to altered cerebrovascular haemodynamics and impaired cognitive function, and present potential targets for prevention and treatment strategies in people with MCI.
Two-cavities approach for resection of pediatric abdominal neuroblastic tumors: experience of a national reference pediatric onco-surgical center
Authors: Urla Cristian , Warmann Steven W. , Schmidt Andreas , Mayer Benjamin , Handgretinger Rupert , Neunhoeffer Felix , Schäfer Jürgen , Fuchs Jörg 
Published: May 2022

Abstract
Purpose
Surgery of complex neuroblastic tumors often requires additional procedures, especially in the situation of tumor extension within thorax and impossibility of securing the aorta above the tumor. These situations prompt the opening of the thoracic cavity. The concern regarding increased operative trauma and morbidity associated with this approach make surgeons reluctant regarding this technique. The aim of this study was to evaluate the efficacy of two-cavities approach based on our experience in a reference pediatric onco-surgical center.

Methods
Between 2003 and 2021, we operated on 232 neuroblastic tumors. 31/232 patients with complex, advanced-stage neuroblastic tumors underwent tumor resection through a two-cavities approach. A retrospective review of patient’s records was performed.

Results
The median age at operation was 48 months (5–180). 23/31 patients presented image-defined risk factors (IDRF). The approach most commonly used was the transverse laparotomy with incision of the diaphragm (n = 14), followed by the thoraco-abdominal incision (n = 10). Gross total resection (GTR) was achieved in 24 patients, a near-GTR in 4 cases, and an incomplete resection in 3 cases. Median duration of surgery was 288 min (99–900) and median duration of mechanical ventilation was 22 h (0–336). Postoperative complications occurred in 10 patients, 6/10 required surgical reintervention. The 5-year overall survival (OS) was 90% and the 5-year event-free survival (EFS) was 50%.

Conclusions
The two-cavities approach for resection of abdominal neuroblastoma in children is a safe technique with no added morbidity.
A stochastic simulation model for assessing the masking effects of road noise for wildlife, outdoor recreation, and bioacoustic monitoring
Authors: Toth Cory A. , Pauli Benjamin P. , McClure Christopher J. W. , Francis Clinton D. , Newman Peter , Barber Jesse R. , Fristrup Kurt 
Published: May 2022

AbstractTraffic noise is one of the leading causes of reductions in animal abundances near roads. Acoustic masking of conspecific signals and adventitious cues is one mechanism that likely causes animals to abandon loud areas. However, masking effects can be difficult to document in situ and the effects of infrequent noise events may be impractical to study. Here, we present the Soundscapes model, a stochastic individual-based model that dynamically models the listening areas of animals searching for acoustic resources (“searchers"). The model also studies the masking effects of noise for human detections of the searchers. The model is set in a landscape adjacent to a road. Noise produced by vehicles traveling on that road is represented by calibrated spectra that vary with speed. Noise propagation is implemented using ISO-9613 procedures. We present demonstration simulations that quantify declines in searcher efficiency and human detection of searchers at relatively low traffic volumes, fewer than 50 vehicles per hour. Traffic noise is pervasive, and the Soundscapes model offers an extensible tool to study the effects of noise on bioacoustics monitoring, point-count surveys, the restorative value of natural soundscapes, and auditory performance in an ecological context.
Machine learning model prediction of 6-month functional outcome in elderly patients with intracerebral hemorrhage
Authors: Trevisi Gianluca , Caccavella Valerio Maria , Scerrati Alba , Signorelli Francesco , Salamone Giuseppe Giovanni , Orsini Klizia , Fasciani Christian , D’Arrigo Sonia , Auricchio Anna Maria , D’Onofrio Ginevra , Salomi Francesco , Albanese Alessio , De Bonis Pasquale , Mangiola Annunziato , Sturiale Carmelo Lucio 
Published: May 2022

AbstractSpontaneous intracerebral hemorrhage (ICH) has an increasing incidence and a worse outcome in elderly patients. The ability to predict the functional outcome in these patients can be helpful in supporting treatment decisions and establishing prognostic expectations. We evaluated the performance of a machine learning (ML) model to predict the 6-month functional status in elderly patients with ICH leveraging the predictive value of the clinical characteristics at hospital admission. Data were extracted by a retrospective multicentric database of patients ≥ 70 years of age consecutively admitted for the management of spontaneous ICH between January 1, 2014 and December 31, 2019. Relevant demographic, clinical, and radiological variables were selected by a feature selection algorithm (Boruta) and used to build a ML model. Outcome was determined according to the Glasgow Outcome Scale (GOS) at 6 months from ICH: dead (GOS 1), poor outcome (GOS 2–3: vegetative status/severe disability), and good outcome (GOS 4–5: moderate disability/good recovery). Ten features were selected by Boruta with the following relative importance order in the ML model: Glasgow Coma Scale, Charlson Comorbidity Index, ICH score, ICH volume, pupillary status, brainstem location, age, anticoagulant/antiplatelet agents, intraventricular hemorrhage, and cerebellar location. Random forest prediction model, evaluated on the hold-out test set, achieved an AUC of 0.96 (0.94–0.98), 0.89 (0.86–0.93), and 0.93 (0.90–0.95) for dead, poor, and good outcome classes, respectively, demonstrating high discriminative ability. A random forest classifier was successfully trained and internally validated to stratify elderly patients with spontaneous ICH into prognostic subclasses. The predictive value is enhanced by the ability of ML model to identify synergy among variables.
Poverty after Birth: How Mothers Experience and Navigate U.S. Safety Net Programs to Address Family Needs
Authors: Marti-Castaner Maria , Pavlenko Tonya , Engel Ruby , Sanchez Karen , Crawford Allyson E. , Brooks-Gunn Jeanne , Wimer Christopher 
Published: May 2022

AbstractAlthough pregnancy and the first year of life are sensitive windows for child development, we know very little about the lived experiences of mothers living in poverty or near poverty during the perinatal period; specifically, how they perceive and use public resources to support themselves and their newborn. In this qualitative study, we explore how predominantly Black and Latinx mothers with infants living in or near poverty and engaged in public assistance manage to meet their family’s needs with available resources from safety net programs and social supports. We conducted 20 qualitative interviews with mothers living in (85%) or near poverty in New York City (NYC). All participants (mean age = 24) had an 11-month-old infant at the time of the interview. Using thematic analysis, we identified five main themes reflecting how mothers experience and navigate living with very low incomes while engaging in public assistance programs: (1) experiencing cascading effects of hardships during pregnancy, (2) relying on food assistance and informal supports amid scarcity, (3) waiting for limited affordable housing: ‘life on hold’, (4) finding pathways towards stability after the baby’s birth, (5) making it work: efforts to look forward. Results describe how the current focus on “work first” of existing federal and state policies adds a layer of stress and burden on the lives of single mothers experiencing low incomes and entangled hardships during pregnancy and after birth. We document how mothers experience coverage gaps and implementation challenges navigating the patchwork of public assistance programs, yet how the support of flexible caseworkers accessing, using, and coordinating assistance has the potential to help mothers plan for longer-term goals.
Replicability of experimental tool evaluations in model-based software and systems engineering with MATLAB/Simulink
Authors: Boll Alexander , Vieregg Nicole , Kehrer Timo 
Published: May 2022

AbstractResearch on novel tools for model-based development differs from a mere engineering task by not only developing a new tool, but by providing some form of evidence that it is effective. This is typically achieved by experimental evaluations. Following principles of good scientific practice, both the tool and the models used in the experiments should be made available along with a paper, aiming at the replicability of experimental results. We investigate to which degree recent research reporting on novel methods, techniques, or algorithms supporting model-based development with MATLAB/Simulink meets the requirements for replicability of experimental results. Our results from studying 65 research papers obtained through a systematic literature search are rather unsatisfactory. In a nutshell, we found that only 31% of the tools and 22% of the models used as experimental subjects are accessible. Given that both artifacts are needed for a replication study, only 9% of the tool evaluations presented in the examined papers can be classified to be replicable in principle. We found none of the experimental results presented in these papers to be fully replicable, and 6% partially replicable. Given that tools are still being listed among the major obstacles of a more widespread adoption of model-based principles in practice, we see this as an alarming signal. While we are convinced that this situation can only be improved as a community effort, this paper is meant to serve as starting point for discussion, based on the lessons learnt from our study.