bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ferrers graphs, D-permutations, and surjective staircases
Authors: Lazar Alexander 
Published: June 2022

AbstractWe introduce a new family of hyperplane arrangements inspired by the homogenized Linial arrangement (which was recently introduced by Hetyei), and show that the intersection lattices of these arrangements are isomorphic to the bond lattices of Ferrers graphs. Using recent work of Lazar and Wachs we are able to give combinatorial interpretations of the characteristic polynomials of these arrangements in terms of permutation enumeration. For certain infinite families of these hyperplane arrangements, we are able to give generating function formulas for their characteristic polynomials. To do so, we develop a generalization of Dumont’s surjective staircases, and introduce a polynomial which enumerates these generalized surjective staircases according to several statistics. We prove a recurrence for these polynomials and show that in certain special cases this recurrence can be solved explicitly to yield a generating function. We also prove refined versions of several of these results using the theory of complex hyperplane arrangements.
Generalized Poverty-gap Orderings
Authors: Bossert Walter , Cato Susumu , Kamaga Kohei 
Published: June 2022

AbstractThis paper provides a characterization of a new class of ordinal poverty measures that are defined by means of the aggregate generalized poverty gap. To be precise, we propose to use the sum of the differences between the transformed fixed poverty line and the transformed level of income of each person below the line as our measure. If the transformation is strictly concave, the resulting measure is strictly inequality averse with respect to the incomes of the poor. In analogy to some existing results on inequality measurement, we show that the only relative (scale-invariant) members of our class are based on strictly concave power functions or the natural logarithm. Moreover, we show that our measures allow for a useful decomposition that is akin to those examined in some earlier contributions. In an empirical analysis, we compare the logarithmic variant of our index to two well-established alternative orderings. Unlike numerous indices that appear in the earlier literature, ours do not explicitly depend on the number of poor or on the total population size, thereby ruling out any direct influence of the head-count ratio on poverty comparisons.
Hybrid manufacturing: influence of material properties during micro milling of different additively manufactured AISI 316L
Authors: Greco Sebastian , Schmidt Marc , Klauer Katja , Kirsch Benjamin , Aurich Jan C. 
Published: June 2022

AbstractAdditive manufacturing (AM) enables the production of components with a high degree of individualization at constant manufacturing effort, which is why additive manufacturing is increasingly applied in industrial processes. However, additively produced surfaces do not meet the requirements for functional surfaces, which is why subsequent machining is mandatory for most of AM-workpieces. Further, the performance of many functional surfaces can be enhanced by microstructuring. The combination of both AM and subtractive processes is referred to as hybrid manufacturing. In this paper, the hybrid manufacturing of AISI 316L is investigated. The two AM technologies laser-based powder bed fusion (L-PBF) and high-speed laser directed energy deposition (HS L-DED) are used to produce workpieces which are subsequently machined by micro milling (tool diameter d = 100 µm). The machining results were evaluated based on tool wear, burr formation, process forces and the generated topography. Those indicated differences in the machinability of materials produced by L-PBF and HS L-DED which were attributed to different microstructural properties.
Theoretical predictions of dynamic necking formability of ductile metallic sheets with evolving plastic anisotropy and tension-compression asymmetry
Authors: Kumar M. Anil , N’souglo K. E. , Hosseini N. , Jacques N. , Rodríguez-Martínez J. A. 
Published: June 2022

AbstractIn this paper, we have investigated necking formability of anisotropic and tension-compression asymmetric metallic sheets subjected to in-plane loading paths ranging from plane strain tension to near equibiaxial tension. For that purpose, we have used three different approaches: a linear stability analysis, a nonlinear two-zone model and unit-cell finite element calculations. We have considered three materials –AZ31-Mg alloy, high purity α-titanium and OFHC copper– whose mechanical behavior is described with an elastic-plastic constitutive model with yielding defined by the CPB06 criterion (15) which includes specific features to account for the evolution of plastic orthotropy and strength differential effect with accumulated plastic deformation (48). From a methodological standpoint, the main novelty of this paper with respect to the recent work of N’souglo et al. (42) –which investigated materials with yielding described by the orthotropic criterion of Hill (24)– is the extension of both stability analysis and nonlinear two-zone model to consider anisotropic and tension-compression asymmetric materials with distortional hardening. The results obtained with the stability analysis and the nonlinear two-zone model show reasonable qualitative and quantitative agreement with forming limit diagrams calculated with the finite element simulations, for the three materials considered, and for a wide range of loading rates varying from quasi-static loading up to 40000 s− 1, which makes apparent the capacity of the theoretical models to capture the mechanisms which control necking formability of metallic materials with complex plastic behavior. Special mention deserves the nonlinear two-zone model, as it does not need prior calibration –unlike the stability analysis– and it yields accurate predictions that rarely deviate more than 10% from the results obtained with the unit-cell calculations.
Evaluating the emotional bidding framework: new evidence from a decade of neurophysiology
Authors: Adam Marc T. P. , Krämer Jan 
Published: June 2022

AbstractTen years ago the “emotional bidding framework” (Adam et al., Electronic Markets, 21(3), 197–207, 2011b) was published in this journal. It provided a conceptualization for the role of human emotion in electronic auctions along six propositions on how emotions emerge during the auction process and affect auction outcomes. While the framework emphasized the importance of immediate emotional responses and momentary changes in the bidders’ emotional state, the original article did not include an evaluation of its propositions given the limited data on how bidders experience emotions in the moment that they occur. Ten years on, advances in the growing research field of NeuroIS allow to evaluate the propositions based on neurophysiological evidence. As a rejoinder of the original article, the present paper synthesizes these insights, refines the framework further, and identifies fruitful areas for future research based on remaining gaps in the body of knowledge.
Apigenin impedes cell cycle progression at G2 phase in prostate cancer cells
Authors: Hnit Su Su Thae , Yao Mu , Xie Chanlu , Bi Ling , Wong Matthew , Liu Tao , De Souza Paul , Li Zhong , Dong Qihan 
Published: June 2022

AbstractAs a natural flavone, apigenin is abundantly present in vegetables, fruits, oregano, tea, chamomile, wheat sprout and is regarded as a major component of the Mediterranean diet. Apigenin is known to inhibit proliferation in different cancer cell lines by inducing G2/M arrest, but it is unclear whether this action is predominantly imposed on G2 or M phases. In this study, we demonstrate that apigenin arrests prostate cancer cells at G2 phase by flow cytometric analysis of prostate cancer cells co-stained for phospho-Histone H3 and DNA. Concurrently, apigenin also reduces the mRNA and protein levels of the key regulators that govern G2-M transition. Further analysis using chromatin immunoprecipitation (ChIP) confirmed the diminished transcriptional activities of the genes coding for these regulators. Unravelling the inhibitory effect of apigenin on G2-M transition in cancer cells provides the mechanistic understanding of its action and supports the potential for apigenin as an anti-cancer agent.
Graphical Abstract
Response to neoadjuvant chemotherapy in breast cancer: do microRNAs matter?
Authors: Ryspayeva Dinara , Halytskiy Volodymyr , Kobyliak Nazarii , Dosenko Iryna , Fedosov Artem , Inomistova Mariia , Drevytska Tetyana , Gurianov Vitalyi , Sulaieva Oksana 
Published: June 2022

Abstract
Background
Conventionally, breast cancer (BC) prognosis and prediction of response to therapy are based on TNM staging, histological and molecular subtype, as well as genetic alterations. The role of various epigenetic factors has been elucidated in carcinogenesis. However, it is still unknown to what extent miRNAs affect the response to neoadjuvant chemotherapy (NACT). This pilot study is focused on evaluating the role of miR-34a, miR-124a, miR-155, miR-137 and miR-373 in response to NACT.

Methods
That was a prospective study enrolling 34 patients with histologically confirmed BC of II-III stages. The median age of patients was 53 (47–59.8) years old, 70.6% of whom were HR-positive. MiRs levels were measured in the primary tumor before and after NACT. The response to therapy was assessed after surgery using the Miller-Payne scoring system. To establish the role of miRs in modulating response to NACT the Cox model was applied for analysis.

Results
BC demonstrated a great variability of miRs expression before and after NACT with no strong links to tumor stage and molecular subtype. Only miR-124a and miR-373 demonstrated differential expression between malignant and normal breast tissues before and after therapy though these distinctions did not impact response to NACT. Besides miR-124a and miR-137 levels after NACT were found to be dependent on HR status. While miR-124a levels increased (p = 0.021) in the tumor tissue, the expression of miR-137 was downregulated (p = 0.041) after NACT in HR positive BC.

Conclusions
The study revealed differences in miR-124a and miR-373 expression after NACT in primary BC tissues. Although miRs levels did not impact the response to NACT, we found miR-124a and miR-137 levels to be related to hormonal sensitivity of BC.
Machine Learning–Based Identification of Target Groups for Thrombectomy in Acute Stroke
Authors: Quandt Fanny , Flottmann Fabian , Madai Vince I. , Alegiani Anna , Küpper Clemens , Kellert Lars , Hilbert Adam , Frey Dietmar , Liebig Thomas , Fiehler Jens , Goyal Mayank , Saver Jeffrey L. , Gerloff Christian , Thomalla Götz , Tiedt Steffen ,   the GSR investigators and the VISTA-Endovascular Collaborators, Berrouschot J. , Bormann A. , Bohner G. , Nolte C. H. , Siebert E. , Zweynert S. , Dorn F. , Petzold G. C. , Keil F. , Pfeilschifter W. , Hamann G. F. , Braun M. , Eckert B. , Röther J. , Alegiani A. , Fiehler J. , Gerloff C. , Thomalla G. , Kraemer C. , Gröschel K. , Uphaus T. , Kellert L. , Tiedt S. , Trumm C. , Boeckh-Behrens T. , Wunderlich S. , Ludolph A. , Petersen M. , Stögbauer F. , Ernemann U. , Poli S. , Khatri P. , Bendszuz M. , Bracard S. , Broderick J. , Campbell B. , Ciccone A. , Davalos A. , Davis S. , Demchuk A. , Diener H. C. , Dippel D. , Donnan G. A. , Ducrocq X. , Fiehler J. , Fiorella D. , Ford G. , Goyal M. , Hacke W. , Hill M. , Jahan R. , Jauch E. , Jovin T. , Kidwell C. , Lees K. R. , Liebeskind D. S. , Majoie C. B. , Martins S. , Mitchell P. , Mocco J. , Muir K. , Nogueira R. G. , Saver J. L. , Schonewille W. J. , Siddiqui A. H. , Thomalla G. , Tomsick T. A. , Turk A. S. , van Zwam W. H. , White P. , Yoshimura S. , Zaidat O. O. 
Published: June 2022

Abstract
Whether endovascular thrombectomy (EVT) improves functional outcome in patients with large-vessel occlusion (LVO) stroke that do not comply with inclusion criteria of randomized controlled trials (RCTs) but that are considered for EVT in clinical practice is uncertain. We aimed to systematically identify patients with LVO stroke underrepresented in RCTs who might benefit from EVT. Following the premises that (i) patients without reperfusion after EVT represent a non-treated control group and (ii) the level of reperfusion affects outcome in patients with benefit from EVT but not in patients without treatment benefit, we systematically assessed the importance of reperfusion level on functional outcome prediction using machine learning in patients with LVO stroke treated with EVT in clinical practice (N = 5235, German-Stroke-Registry) and in patients treated with EVT or best medical management from RCTs (N = 1488, Virtual-International-Stroke-Trials-Archive). The importance of reperfusion level on outcome prediction in an RCT-like real-world cohort equaled the importance of EVT treatment allocation for outcome prediction in RCT data and was higher compared to an unselected real-world population. The importance of reperfusion level was magnified in patient groups underrepresented in RCTs, including patients with lower NIHSS scores (0–10), M2 occlusions, and lower ASPECTS (0–5 and 6–8). Reperfusion level was equally important in patients with vertebrobasilar as with anterior LVO stroke. The importance of reperfusion level for outcome prediction identifies patient target groups who likely benefit from EVT, including vertebrobasilar stroke patients and among patients underrepresented in RCT patients with low NIHSS scores, low ASPECTS, and M2 occlusions.
Quantitative John–Nirenberg inequalities at different scales
Authors: Martínez-Perales Javier C. , Rela Ezequiel , Rivera-Ríos Israel P. 
Published: June 2022

AbstractGiven a family $${\mathcal {Z}}=\{\Vert \cdot \Vert _{Z_Q}\}$$

Z
=
{
‖
·

‖

Z
Q

}

of norms or quasi-norms with uniformly bounded triangle inequality constants, where each Q is a cube in $${\mathbb {R}}^n$$

R

n

, we provide an abstract estimate of the form $$\begin{aligned} \Vert f-f_{Q,\mu }\Vert _{Z_Q}\le c(\mu )\psi ({\mathcal {Z}})\Vert f\Vert _{\mathrm {BMO}(\mathrm {d}\mu )} \end{aligned}$$

‖
f
-

f

Q
,
μ

‖

Z
Q

≤
c

(
μ
)

ψ

(
Z
)

‖
f
‖

BMO
(
d
μ
)

for every function $$f\in \mathrm {BMO}(\mathrm {d}\mu )$$

f
∈
BMO
(
d
μ
)

, where $$\mu $$
μ
is a doubling measure in $${\mathbb {R}}^n$$

R

n

and $$c(\mu )$$

c
(
μ
)

and $$\psi ({\mathcal {Z}})$$

ψ
(
Z
)

are positive constants depending on $$\mu $$
μ
and $${\mathcal {Z}}$$
Z
, respectively. That abstract scheme allows us to recover the sharp estimate $$\begin{aligned} \Vert f-f_{Q,\mu }\Vert _{L^p \left( Q,\frac{\mathrm {d}\mu (x)}{\mu (Q)}\right) }\le c(\mu )p\Vert f\Vert _{\mathrm {BMO}(\mathrm {d}\mu )}, \qquad p\ge 1 \end{aligned}$$

‖
f
-

f

Q
,
μ

‖

L
p

Q
,

d
μ
(
x
)

μ
(
Q
)

≤
c

(
μ
)

p

‖
f
‖

BMO
(
d
μ
)

,

p
≥
1

for every cube Q and every $$f\in \mathrm {BMO}(\mathrm {d}\mu )$$

f
∈
BMO
(
d
μ
)

, which is known to be equivalent to the John–Nirenberg inequality, and also enables us to obtain quantitative counterparts when $$L^p$$

L
p

is replaced by suitable strong and weak Orlicz spaces and $$L^{p(\cdot )}$$

L

p
(
·
)

spaces. Besides the aforementioned results we also generalize [(Ombrosi in Isr J Math 238:571-591, 2020), Theorem 1.2] to the setting of doubling measures and obtain a new characterization of Muckenhoupt’s $$A_\infty $$

A
∞

weights.
Identifying lexical change in negative word-of-mouth on social media
Authors: Strathern Wienke , Ghawi Raji , Schönfeld Mirco , Pfeffer Jürgen 
Published: June 2022

AbstractNegative word-of-mouth is a strong consumer and user response to dissatisfaction. Moral outrages can create an excessive collective aggressiveness against one single argument, one single word, or one action of a person resulting in hateful speech. In this work, we examine the change of vocabulary to explore the outbreak of online firestorms on Twitter. The sudden change of an emotional state can be captured in language. It reveals how people connect with each other to form outrage. We find that when users turn their outrage against somebody, the occurrence of self-referencing pronouns like ‘I’ and ‘me’ reduces significantly. Using data from Twitter, we derive such linguistic features together with features based on retweets and mention networks to use them as indicators for negative word-of-mouth dynamics in social media networks. Based on these features, we build three classification models that can predict the outbreak of a firestorm with high accuracy.
Stochastic model describing evolution of microstructural parameters during hot rolling of steel plates and strips
Authors: Szeliga Danuta , Czyżewska Natalia , Klimczak Konrad , Kusiak Jan , Kuziak Roman , Morkisz Paweł , Oprocha Piotr , Pietrzyk Maciej , Poloczek Łukasz , Przybyłowicz Paweł 
Published: June 2022

AbstractEnhancing strength-ductility synergy of materials has been for decades an objective of research on structural metallic materials. It has been shown by many researchers that significant improvement of this synergy can be obtained by tailoring heterogeneous multiphase microstructures. Since large gradients of properties in these microstructures cause a decrease of the local fracture resistance, the objective of research is to obtain smoother gradients of properties by control of the manufacturing process. Advanced material models are needed to design such microstructures with smooth gradients. These models should supply information about distributions of various microstructural features, instead of their average values. Models based on stochastic internal variables meet this requirement. Our objective was to account for the random character of the recrystallization and to transfer this randomness into equations describing the evolution of dislocations and grain size during hot deformation and during interpass times. The idea of this stochastic model is described in the paper. Experiments composed of uniaxial compression tests were performed to supply data for the identification and verification of the model in the hot deformation and static recrystallization parts. Histograms of the grain size were measured after hot deformation and at different times after the end of deformation. Identification and validation of the model were performed. The validated model, which predicts evolution of heterogeneous multiphase microstructure, is the main output of our work. The model was implemented in the finite element program for hot rolling of plates and sheets and simulations of these processes were performed. The model’s capability to compare and evaluate various rolling strategies are demonstrated in the paper.
Review of the state of the art in autonomous artificial intelligence
Authors: Radanliev Petar , De Roure David 
Published: June 2022

AbstractThis article presents a new design for autonomous artificial intelligence (AI), based on the state-of-the-art algorithms, and describes a new autonomous AI system called ‘AutoAI’. The methodology is used to assemble the design founded on self-improved algorithms that use new and emerging sources of data (NEFD). The objective of the article is to conceptualise the design of a novel AutoAI algorithm. The conceptual approach is used to advance into building new and improved algorithms. The article integrates and consolidates the findings from existing literature and advances the AutoAI design into (1) using new and emerging sources of data for teaching and training AI algorithms and (2) enabling AI algorithms to use automated tools for training new and improved algorithms. This approach is going beyond the state-of-the-art in AI algorithms and suggests a design that enables autonomous algorithms to self-optimise and self-adapt, and on a higher level, be capable to self-procreate.
Son preference and low birth weight for girls
Authors: Cho Hyunkuk 
Published: June 2022

AbstractWhile previous studies have confirmed the negative effects of son preference on the prenatal care received by girls, few have examined its effect on birth outcomes. This study contributes to the literature on son preference by examining this relationship. The degree of son preference is measured by the sex ratio at birth, and the data were obtained from the birth registry of South Korea, which has a long history of strong son preference. We find that girls are more likely to be born with low birth weight when son preference is stronger. In addition, when son preference is stronger, girls are more likely to be born outside hospitals, which implies that mothers conceiving girls make fewer prenatal visits to the hospital when their son preference is stronger.
Pharmacist gender and physician acceptance of antibiotic stewardship recommendations: An analysis of the reducing overuse of antibiotics at discharge home intervention
Authors: Vaughn Valerie M. , Giesler Daniel L. , Mashrah Daraoun , Brancaccio Adamo , Sandison Katie , Spivak Emily S. , Szymczak Julia E. , Wu Chaorong , Horowitz Jennifer K. , Bashaw Linda , Hersh Adam L. 
Published: June 2022

AbstractObjective:To assess association of pharmacist gender with acceptance of antibiotic stewardship recommendations.Design:A retrospective evaluation of the Reducing Overuse of Antibiotics at Discharge (ROAD) Home intervention.Setting:The study was conducted from May to October 2019 in a single academic medical center.Participants:The study included patients receiving antibiotics on a hospitalist service who were nearing discharge.Methods:During the intervention, clinical pharmacists (none who had specialist postgraduate infectious disease residency training) reviewed patients on antibiotics and led an antibiotic timeout (ie, structured conversation) prior to discharge to improve discharge antibiotic prescribing. We assessed the association of pharmacist gender with acceptance of timeout recommendations by hospitalists using logistic regression controlling for patient characteristics.Results:Over 6 months, pharmacists conducted 295 timeouts: 158 timeouts (53.6%) were conducted by 12 women, 137 (46.4%) were conducted by 8 men. Pharmacists recommended an antibiotic change in 82 timeouts (27.8%), of which 51 (62.2%) were accepted. Compared to male pharmacists, female pharmacists were less likely to recommend a discharge antibiotic change: 30 (19.0%) of 158 versus 52 (38.0%) of 137 (P < .001). Female pharmacists were also less likely to have a recommendation accepted: 10 (33.3%) of 30 versus 41 (8.8%) of 52 (P < .001). Thus, timeouts conducted by female versus male pharmacists were less likely to result in an antibiotic change: 10 (6.3%) of 158 versus 41 (29.9%) of 137 (P < .001). After adjustments, pharmacist gender remained significantly associated with whether recommended changes were accepted (adjusted odds ratio [aOR], 0.10; 95%confidence interval [CI], 0.03–0.36 for female versus male pharmacists).Conclusions:Antibiotic stewardship recommendations made by female clinical pharmacists were less likely to be accepted by hospitalists. Gender bias may play a role in the acceptance of clinical pharmacist recommendations, which could affect patient care and outcomes.