bluuebunny/crossref_metadata_2025_split huggingface dataset:
On Weak Flexibility in Planar Graphs
Authors: Lidický Bernard , Masařík Tomáš , Murphy Kyle , Zerbib Shira 
Published: October 2022

AbstractRecently, Dvořák, Norin, and Postle introduced flexibility as an extension of list coloring on graphs (J Graph Theory 92(3):191–206, 2019, https://doi.org/10.1002/jgt.22447). In this new setting, each vertex v in some subset of V(G) has a request for a certain color r(v) in its list of colors L(v). The goal is to find an L coloring satisfying many, but not necessarily all, of the requests. The main studied question is whether there exists a universal constant $$\varepsilon >0$$

ε
>
0

such that any graph G in some graph class $$\mathscr {C}$$
C
satisfies at least $$\varepsilon$$
ε
proportion of the requests. More formally, for $$k > 0$$

k
>
0

the goal is to prove that for any graph $$G \in \mathscr {C}$$

G
∈
C

on vertex set V, with any list assignment L of size k for each vertex, and for every $$R \subseteq V$$

R
⊆
V

and a request vector $$(r(v): v\in R, ~r(v) \in L(v))$$

(
r
(
v
)
:
v
∈
R
,

r
(
v
)
∈
L
(
v
)
)

, there exists an L-coloring of G satisfying at least $$\varepsilon |R|$$

ε
|
R
|

requests. If this is true, then $$\mathscr {C}$$
C
is called $$\varepsilon$$
ε
-flexible for lists of size k. Choi, Clemen, Ferrara, Horn, Ma, and Masařík (Discrete Appl Math 306:20–132, 2022, https://doi.org/10.1016/j.dam.2021.09.021) introduced the notion of weak flexibility, where $$R = V$$

R
=
V

. We further develop this direction by introducing a tool to handle weak flexibility. We demonstrate this new tool by showing that for every positive integer b there exists $$\varepsilon (b)>0$$

ε
(
b
)
>
0

so that the class of planar graphs without $$K_4, C_5 , C_6 , C_7, B_b$$

K
4

,

C
5

,

C
6

,

C
7

,

B
b

is weakly $$\varepsilon (b)$$

ε
(
b
)

-flexible for lists of size 4 (here $$K_n$$

K
n

, $$C_n$$

C
n

and $$B_n$$

B
n

are the complete graph, a cycle, and a book on n vertices, respectively). We also show that the class of planar graphs without $$K_4, C_5 , C_6 , C_7, B_5$$

K
4

,

C
5

,

C
6

,

C
7

,

B
5

is $$\varepsilon$$
ε
-flexible for lists of size 4. The results are tight as these graph classes are not even 3-colorable.
Comparative effect of stenting plus medical therapy vs medical therapy alone on the risk of stroke and death in patients with symptomatic intracranial stenosis: a systematic review and meta-analysis
Authors: Wu Xin , Li Jiaxuan , Wang Shixin , Zou Yu , Tang Liyan , Chen Zhouqing , Zhang Wei , Wang Zhong 
Published: October 2022

Abstract
Background
Recently, several randomized controlled trials (RCTs) of stenting plus medical therapy versus medical therapy alone have been successfully conducted for the treatment of patients with symptomatic intracranial stenosis. This study aimed to evaluate differences between these two therapies in the risk of stroke and death.

Methods
MEDLINE, EMBASE, the Cochrane Library, and ClinicalTrials.gov were systematically searched to identify relevant studies published before August 24, 2022. Review Manager 5.3 software was used to assess the data. The risk ratio (RR) was analysed and calculated with a random effect model or a fixed effects model.

Results
We pooled 921 participants from three RCTs. Compared to the medical therapy alone group, the stenting plus medical therapy group had a higher risk of 30-day death or stroke (RR = 2.69 [1.64–4.41], P < 0.0001, I2 = 0%). When the follow-up period exceeded 1 year (≥ 1 year), there was no significant difference in the risk of stroke or death between these two groups. The subgroup analysis showed that if the time from stroke onset to implantation was extended, additional stenting would have no effect on the risk of stroke or death, whether within 30 days or within 1 year (P = 0.16 and 0.78).

Conclusion
Medical therapy alone has a lower risk of stroke and death in the short term than stenting plus medical therapy, while no difference exists in the long term. More studies are still needed to further explore the precision strategy of stent implantation for symptomatic intracranial stenosis patients.
The value of intraoperative indocyanine green angiography in microvascular decompression for hemifacial spasm to avoid brainstem ischemia
Authors: Al Menabbawy Ahmed , Refaee Ehab El , Shoubash Loay , Matthes Marc , Schroeder Henry W. S. 
Published: October 2022

Abstract
Purpose
Despite being rarely reported, ischemic insults resulting from compromising small brainstem perforators following microvascular decompression (MVD) remain a potential devastating complication. To avoid this complication, we have been using indocyanine green (ICG) angiography intraoperatively to check the flow within the small brainstem perforators. We aim to evaluate the safety and usefulness of ICG videoangiography in MVD.

Methods
We extracted retrospective data of patients who received ICG videoangiography from our prospectively maintained database for microvascular decompression. We noted relevant data including demographics, offending vessels, operative technique, outcome, and complications.

Results
Out of the 438 patients, 15 patients with a mean age (SD) of 53 ± 10.5 years underwent intraoperative ICG angiography. Male:female was 1:1.14. The mean disease duration prior to surgery was 7.7 ± 5.3 years. The mean follow-up (SD) was 50.7 ± 42.0 months. In 14 patients, the offending vessel was an artery, and in one patient, a vein. Intraoperative readjustment of the Teflon pledget or sling was required in 20% (3/15) of the cases. No patient had any sort of brainstem ischemia. Eighty percent of the patients (12/15) experienced complete resolution of the spasms. 86.7% (13/15) of the patients reported a satisfactory outcome with marked improvement of the spasms. Three patients experienced slight hearing affection after surgery, which improved in two patients later. There was no facial or lower cranial nerve affection.

Conclusion
Intraoperative ICG is a safe tool for evaluating the flow within the brain stem perforators and avoiding brainstem ischemia in MVD for hemifacial spasm.
Two-epoch centimeter-level PPP-RTK without external atmospheric corrections using best integer-equivariant estimation
Authors: Brack Andreas , Männel Benjamin , Schuh Harald 
Published: October 2022

AbstractAmbiguity resolution enabled precise point positioning (PPP-AR or PPP-RTK) without atmospheric corrections requires the user to estimate tropospheric and ionospheric delay parameters. The presence of the unconstrained ionosphere parameters impedes fast and reliable ambiguity resolution, so a time-to-first-fix of around 30 min for GPS-only solutions is generally reported, which can, to some extent, be reduced when combining multiple GNSS. In this contribution, we investigate the capabilities of almost instantaneous PPP-RTK, using only a few observation epochs at a sampling interval of 30 s, with the ionosphere-float model. The considered key elements are (a) the MSE-optimal best integer-equivariant estimator, (b) a combination of dual-frequency GPS, Galileo, BDS, and QZSS, (c) an area with good visibility of BDS and QZSS, and (d) a proper weighting of the PPP-RTK corrections. We provide a formal and simulation-based analysis of kinematic and static PPP-RTK with perfect, i.e., deterministic, clock and bias corrections as well as corrections computed from only a single reference station. The results indicate that, on average, one can expect centimeter-level positioning results with just slightly more than two epochs already with single-station corrections. This is confirmed with real four-system GNSS data, for which the availability of two-epoch centimeter-level horizontal positioning results is 99.7% during an exemplary day.
The All-Stakeholders-Considered Case for Corporate Beneficence
Authors: de los Reyes Gastón 
Published: October 2022

AbstractIn ways accentuated by the global coronavirus pandemic, corporations constitute vital instruments of the acts of beneficence needed by the people of the world to make progress in public health and increase collective and individual well-being. This article contributes to understanding the variety of moral forces that may lead corporations to commit acts of beneficence, including Friedman’s business case for corporate beneficence, the duty of beneficence as developed by business ethicists, and Dunfee’s social contract account of corporate obligation. Whereas Mejia recently contributed to scholarship on corporate beneficence by expressly adopting shareholder primacy’s conception of corporate governance, this article embraces a stakeholder-oriented, managerialist picture of corporate governance. I extend the literature on beneficence by incorporating what I argue is the intuition underlying Dunfee’s contractualist formula of minimal contribution, namely that management’s duty to do good is awakened and unshackled to the extent management judges the corporation can afford to commit acts of beneficence, all stakeholders considered. The all-stakeholders-considered case for corporate beneficence compels management to act, I argue, when inaction would undermine the moral integrity of managers personally committed to promoting the well-being of humanity.
Influence of an industrial discharge on long-term dynamics of abiotic and biotic resources in Lavaca Bay, Texas, USA
Authors: Harris Elizabeth K. , Montagna Paul A. , Douglas Audrey R. , Vitale Lisa , Buzan David 
Published: October 2022

AbstractThe current study seeks to identify possible anthropogenic and/or natural environmental stressors that may account for the long-term decline of ecosystem health in Lavaca Bay, Texas, USA. The Formosa Plastics Corporation instituted monitoring of an industrial discharge into the bay with 16 fixed point stations and quarterly sampling from 1993 to 2020. Comprehensive measurements included organic and inorganic solutes in surface water, porewater and sediment, sediment content, plankton, nekton, and infaunal benthos. All parameter trends changed over time due to climate, freshwater inflow events, and/or seasonal changes. Biological community structure and sediment changed with distance from the discharge site. Dominance characterized community structure because three to four taxa comprised > 70% of individuals for nekton (trawl and gill net), phytoplankton, zooplankton, and ichthyoplankton samples. Sediment became sandier over time (48 to 75%) and away from the discharge. Surface water and porewater at reference (R) stations and stations near the discharge site had similar hydrographical and biological trends over time, indicating no long-term impact due to the discharge. However, 99.9% of 424,671 measurements of organic contaminants were non-detectable because the methods were insensitive to ambient concentrations. Thus, it is still not known if contaminants play a role in the long-term decline of ecosystem health in Lavaca Bay. Furthermore, only four R stations were sampled and were all 3810 m from the discharge site, so it is possible that trends in R stations do not represent the natural background. Future studies should include more R stations and lower detection limits for contaminants.
The market–society–policy nexus in sustainable agriculture
Authors: Díaz-Siefer Pablo , Fontúrbel Francisco E. , Berasaluce Maite , Huenchuleo Carlos , Lal Rattan , Mondaca Pedro , Celis-Diez Juan L. 
Published: October 2022

AbstractIntensive agriculture has led to several environmental impacts, such as soil erosion, water scarcity, and pesticide pollution. Despite the increasing research advocating greener agriculture, the transition into sustainable agriculture practices has been slower than expected. Then, why are we stuck in this transition? In this scientific essay, we aimed to answer this question not only by analyzing agricultural systems but also by the associated actors. Specifically, this scientific essay analyzed and discussed how agricultural systems integrate with the surrounding market, society, and policies. We made a literature review of the impacts of intensive agriculture on global change and an analysis of greener agricultural systems. Then, we analyzed how the market, society, and policies can influence the transition from intensive agriculture to greener agricultural systems. In addition, we complement that literature review with a survey made in Chile. Our analysis highlighted ecological intensification (EI) as the most promising production system in terms of sustainability. However, the most sustainable was not necessarily the most supported by the market and society. We found a disconnection between consumers' environmental concerns and what they support when buying foodstuff. Our survey showed that most people are aware of soil degradation and high-water consumption, but above all, they want pesticide-free and organic food attributes. The literature review and survey results suggested how policies can break the status quo of intensive agriculture predominance. Thus, we propose a market–society–policy nexus to promote sustainable agriculture. Our suggestions are: (1) Policies should support sustainable agricultural systems at the landscape level to safeguard the ecological processes involved in agricultural production. (2) Markets should standardize eco-labels, improve clarity in foodstuff information, and relate environmental benefits to consumer benefits. (3) A subsidy on sustainable food is needed to keep the regular market prices and attract new consumers, at least in the early stages.
Outer Approximation for Mixed-Integer Nonlinear Robust Optimization
Authors: Kuchlbauer Martina , Liers Frauke , Stingl Michael 
Published: October 2022

AbstractCurrently, few approaches are available for mixed-integer nonlinear robust optimization. Those that do exist typically either require restrictive assumptions on the problem structure or do not guarantee robust protection. In this work, we develop an algorithm for convex mixed-integer nonlinear robust optimization problems where a key feature is that the method does not rely on a specific structure of the inner worst-case (adversarial) problem and allows the latter to be non-convex. A major challenge of such a general nonlinear setting is ensuring robust protection, as this calls for a global solution of the non-convex adversarial problem. Our method is able to achieve this up to a tolerance, by requiring worst-case evaluations only up to a certain precision. For example, the necessary assumptions can be met by approximating a non-convex adversarial via piecewise relaxations and solving the resulting problem up to any requested error as a mixed-integer linear problem.In our approach, we model a robust optimization problem as a nonsmooth mixed-integer nonlinear problem and tackle it by an outer approximation method that requires only inexact function values and subgradients. To deal with the arising nonlinear subproblems, we render an adaptive bundle method applicable to this setting and extend it to generate cutting planes, which are valid up to a known precision. Relying on its convergence to approximate critical points, we prove, as a consequence, finite convergence of the outer approximation algorithm.As an application, we study the gas transport problem under uncertainties in demand and physical parameters on realistic instances and provide computational results demonstrating the efficiency of our method.
The emerging importance of immunophilins in fibrosis development
Authors: Alqudah Abdelrahim , AbuDalo Rawan , Qnais Esam , Wedyan Mohammed , Oqal Muna , McClements Lana 
Published: October 2022

AbstractImmunophilins are a family of proteins encompassing FK506-binding proteins (FKBPs) and cyclophilins (Cyps). FKBPs and Cyps exert peptidyl-prolyl cis-trans isomerase (PPIase) activity, which facilitates diverse protein folding assembly, or disassembly. In addition, they bind to immunosuppressant medications where FKBPs bind to tacrolimus (FK506) and rapamycin, whereas cyclophilins bind to cyclosporin. Some large immunophilins have domains other than PPIase referred to as tetratricopeptide (TPR) domain, which is involved in heat shock protein 90 (Hsp90) and heat shock protein 70 (Hsp 70) chaperone interaction. The TPR domain confers immunophilins’ pleotropic actions to mediate various physiological and biochemical processes. So far, immunophilins have been implicated to play an important role in pathophysiology of inflammation, cancer and neurodegenerative disorders. However, their importance in the development of fibrosis has not yet been elucidated. In this review we focus on the pivotal functional and mechanistic roles of different immunophilins in fibrosis establishment affecting various organs. The vast majority of the studies reported that cyclophilin A, FKBP12 and FKBP10 likely induce organ fibrosis through the calcineurin or TGF-β pathways. FKBP51 demonstrated a role in myelofibrosis development through calcineurin-dependant pathway, STAT5 or NF-κB pathways. Inhibition of these specific immunophilins has been shown to decrease the extent of fibrosis suggesting that immunophilins could be a novel promising therapeutic target to prevent or reverse fibrosis.
Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets
Authors: Qureshi Aqsa Saeed , Roos Teemu 
Published: October 2022

AbstractEarly diagnosis plays a key role in prevention and treatment of skin cancer. Several machine learning techniques for accurate detection of skin cancer from medical images have been reported. Many of these techniques are based on pre-trained convolutional neural networks (CNNs), which enable training the models based on limited amounts of training data. However, the classification accuracy of these models still tends to be severely limited by the scarcity of representative images from malignant tumours. We propose a novel ensemble-based convolutional neural network (CNN) architecture where multiple CNN models, some of which are pre-trained and some are trained only on the data at hand, along with auxiliary data in the form of metadata associated with the input images, are combined using a meta-learner. The proposed approach improves the model’s ability to handle limited and imbalanced data. We demonstrate the benefits of the proposed technique using a dataset with 33,126 dermoscopic images from 2056 patients. We evaluate the performance of the proposed technique in terms of the F1-measure, area under the ROC curve (AUC-ROC), and area under the PR-curve (AUC-PR), and compare it with that of seven different benchmark methods, including two recent CNN-based techniques. The proposed technique compares favourably in terms of all the evaluation metrics.
Comparison of Cycling High Temperature Corrosion at 650°C in the Presence of NaCl of Various Austenitic Stainless Steels
Authors: Bajt Leban Mirjam , Vončina Maja , Kosec Tadeja , Tisu Robert , Barborič Matevž , Medved Jožef 
Published: October 2022

AbstractThe high temperature corrosion at 650°C in the presence of NaCl at atmospheric pressure of AISI 304L, AISI 309, AISI 310S, AISI 314 and AISI 321 austenitic stainless steel was studied. The specimens were cyclically heated in the furnace and immersed in a 3.5% aqueous NaCl solution after cooling for 15 min. After each cycle, the change in mass of the samples was measured. The corroded samples were analysed by SEM /EDX, and the corrosion products were analysed by XRD. The chloride ions react with the steel surface to form porous and poorly adherent oxides and metal chlorides. After the mass increase during the first exposure cycles, spalling of the oxides occurred. The high temperature austenitic stainless steels (AISI 309, AISI 310S, AISI 314) showed less mass loss than conventional austenitic steels (AISI 304L). Surprisingly, the stainless steel AISI 321 showed a similar low weight loss after the cyclic test as AISI 309, but a detailed analysis of the exposed surfaces after the test showed a similar corrosion attack as for AISI 304. After the cyclic test at high temperature in the presence of NaCl, a higher concentration of Cr and Ni definitely improves the corrosion resistance under the present conditions, but a certain addition of Si is even more obvious.

Graphical Abstract
Understanding models understanding language
Authors: Søgaard Anders 
Published: October 2022

AbstractLandgrebe and Smith (Synthese 198(March):2061–2081, 2021) present an unflattering diagnosis of recent advances in what they call language-centric artificial intelligence—perhaps more widely known as natural language processing: The models that are currently employed do not have sufficient expressivity, will not generalize, and are fundamentally unable to induce linguistic semantics, they say. The diagnosis is mainly derived from an analysis of the widely used Transformer architecture. Here I address a number of misunderstandings in their analysis, and present what I take to be a more adequate analysis of the ability of Transformer models to learn natural language semantics. To avoid confusion, I distinguish between inferential and referential semantics. Landgrebe and Smith (2021)’s analysis of the Transformer architecture’s expressivity and generalization concerns inferential semantics. This part of their diagnosis is shown to rely on misunderstandings of technical properties of Transformers. Landgrebe and Smith (2021) also claim that referential semantics is unobtainable for Transformer models. In response, I present a non-technical discussion of techniques for grounding Transformer models, giving them referential semantics, even in the absence of supervision. I also present a simple thought experiment to highlight the mechanisms that would lead to referential semantics, and discuss in what sense models that are grounded in this way, can be said to understand language. Finally, I discuss the approach Landgrebe and Smith (2021) advocate for, namely manual specification of formal grammars that associate linguistic expressions with logical form.
Identification and genomic characterization of a novel HIV-1 unique recombinant form (CRF01_AE/CRF07_BC) in Zhejiang Province, China
Authors: Fan Qin , Liu Jing , Chai Chengliang , Zhu Shuying , Fang Qionglou , Guo Zhihong , Xia Yan , Ding Xiaobei , Zhang Jiafeng 
Published: October 2022

AbstractMutation and recombination are important mechanisms leading to the frequent evolution and genetic diversity of viruses as HIV-1. In this study, we identified the near full-length genomic characterization of a novel HIV-1 unique recombinant form (URF) strain (Sample ID: ZJ20202195/ZJ/CHN/2020, hereafter referred to as ZJ20202195) isolated during the HIV-1 molecular surveillance in 2020 in Zhejiang Province, China, through different recombination analysis tools and phylogenetic analysis. Our results amply proved that the near full-length genome (NFLG) sequence of ZJ20202195 was a novel HIV-1 unique recombinant form (URF) consisting of CRF01_AE and CRF07_BC subtype, and delimited three recombinant segments, of which the Segment I (HXB2:776–5559 nucleotide (nt)) and Segment III (HXB2:6224–9412 nt) were mainly originated from CRF01_AE cluster g4a strains prevalent in China and Segment II (HXB2:5560–6223 nt) was from CRF07_BC subtype. Overall, our findings provide insight and a scientific basis in the genetic diversity and accurate determination of HIV-1 recombinant strains in China.