bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the weighted Tchebycheff weight set decomposition for multiobjective discrete optimization problems
Authors: Helfrich Stephan , Perini Tyler , Halffmann Pascal , Boland Natashia , Ruzika Stefan 
Published: May 2023

AbstractScalarization is a common technique to transform a multiobjective optimization problem into a scalar-valued optimization problem. This article deals with the weighted Tchebycheff scalarization applied to multiobjective discrete optimization problems. This scalarization consists of minimizing the weighted maximum distance of the image of a feasible solution to some desirable reference point. By choosing a suitable weight, any Pareto optimal image can be obtained. In this article, we provide a comprehensive theory of this set of eligible weights. In particular, we analyze the polyhedral and combinatorial structure of the set of all weights yielding the same Pareto optimal solution as well as the decomposition of the weight set as a whole. The structural insights are linked to properties of the set of Pareto optimal solutions, thus providing a profound understanding of the weighted Tchebycheff scalarization method and, as a consequence, also of all methods for multiobjective optimization problems using this scalarization as a building block.
The future of rare disease drug development: the rare disease cures accelerator data analytics platform (RDCA-DAP)
Authors: Barrett Jeffrey S. , Betourne Alexandre , Walls Ramona L. , Lasater Kara , Russell Scott , Borens Amanda , Rohatagi Shlok , Roddy Will 
Published: May 2023

AbstractRare disease drug development is wrought with challenges not the least of which is access to the limited data currently available throughout the rare disease ecosystem where sharing of the available data is not guaranteed. Most pharmaceutical sponsors seeking to develop agents to treat rare diseases will initiate data landscaping efforts to identify various data sources that might be informative with respect to disease prevalence, patient selection and identification, disease progression and any data projecting likelihood of patient response to therapy including any genetic data. Such data are often difficult to come by for highly prevalent, mainstream disease populations let alone for the 8000 rare disease that make up the pooled patient population of rare disease patients. The future of rare disease drug development will hopefully rely on increased data sharing and collaboration among the entire rare disease ecosystem. One path to achieving this outcome has been the development of the rare disease cures accelerator, data analytics platform (RDCA-DAP) funded by the US FDA and operationalized by the Critical Path Institute. FDA intentions were clearly focused on improving the quality of rare disease regulatory applications by sponsors seeking to develop treatment options for various rare disease populations. As this initiative moves into its second year of operations it is envisioned that the increased connectivity to new and diverse data streams and tools will result in solutions that benefit the entire rare disease ecosystem and that the platform becomes a Collaboratory for engagement of this ecosystem that also includes patients and caregivers.
Synthesis and characterization PVA/plasma-functionalized MWCNTs nanocomposites films
Authors: Farag Omar F. , Abdel‑Fattah E. 
Published: May 2023

AbstractThin films of polyvinyl alcohol (PVA) loaded with various concentrations of (f-MWCNTs) were prepared via the regular casting method. The physicochemical characteristics of pure and PVA/f-MWCNTs films were investigated with various techniques; X-ray diffractometer (XRD), Fourier transform infrared (FTIR), X-ray photoelectron spectroscopy (XPS), UV-visible spectroscopy (UV-Vis), and thermogravimetric analysis (TGA). Moreover, the impact of loading ratios of f-MWCNTs on the dielectric constant and AC conductivity of the PVA/f-MWCNTs nanocomposite film was examined. XRD results suggest a possible improvement in the crystallinity of the PVA/f-MWCNTs composite film compared to a pristine one. Also, FTIR and XPS results confirm the formation of a hydrogen bond between PVA chains and f-MWCNTs. The optical band gaps of the PVA/f-MWCNTs composite film decrease, while the optical conductivity (σopt), dielectric constant (έ), and AC conductivity increase with increasing wt% of f-MWCNTs in the PVA matrix. Further, the thermal stability of PVA/f-MWCNTs films improved in comparison with that of PVA film.
Faster Riemannian Newton-type optimization by subsampling and cubic regularization
Authors: Deng Yian , Mu Tingting 
Published: May 2023

AbstractThis work is on constrained large-scale non-convex optimization where the constraint set implies a manifold structure. Solving such problems is important in a multitude of fundamental machine learning tasks. Recent advances on Riemannian optimization have enabled the convenient recovery of solutions by adapting unconstrained optimization algorithms over manifolds. However, it remains challenging to scale up and meanwhile maintain stable convergence rates and handle saddle points. We propose a new second-order Riemannian optimization algorithm, aiming at improving convergence rate and reducing computational cost. It enhances the Riemannian trust-region algorithm that explores curvature information to escape saddle points through a mixture of subsampling and cubic regularization techniques. We conduct rigorous analysis to study the convergence behavior of the proposed algorithm. We also perform extensive experiments to evaluate it based on two general machine learning tasks using multiple datasets. The proposed algorithm exhibits improved computational speed, e.g., a speed improvement from $$12\% \:\text {to} \:227\%$$

12
%

to

227
%

, and improved convergence behavior, e.g., an iteration number reduction from $$\mathcal{O}\left(\max\left(\epsilon_g^{-2}\epsilon_H^{-1},\epsilon_H^{-3}\right)\right) \,\text {to}\: \mathcal{O}\left(\max\left(\epsilon_g^{-2},\epsilon_H^{-3}\right)\right)$$

O

max

ϵ
g

-
2

ϵ
H

-
1

,

ϵ
H

-
3

to

O

max

ϵ
g

-
2

,

ϵ
H

-
3

, compared to a large set of state-of-the-art Riemannian optimization algorithms.
Corporate governance from colonial Ceylon to post-civil war Sri Lanka
Authors: Nazliben Kamil K. , Renneboog Luc , Uduwalage Emil 
Published: May 2023

AbstractThis paper examines the corporate governance mechanisms in Sri Lanka, a country that only a little more than a decade ago emerged from a 30-year long civil war. We focus on the evolution of Sri Lanka’s corporate governance from historical, sociocultural, and institutional perspectives. Taking Sri Lanka as a case where inclusiveness and reconciliation at the board level is important, we aim to diagnose the key corporate governance issues which we then broaden towards other South Asia developing countries and provide a research agenda. Many Sri Lankan firms suffer from typical Asian-style agency problems; conflicts of interest between (i) minority and majority shareholders, (ii) shareholders and debtholders, and (iii) shareholders and stakeholders. The most prevalent agency problem is the expropriation of minority shareholders’ rights through ownership pyramids, cross-holdings, or intermediate private firms. Although creditor protection laws limit the expropriation of debtholders’ rights, firms’ widespread use of political connections forces banks to grant cheap credit at favorable terms. Poor stakeholder management creates agency problems following window dressing of ESG disclosures, corporate opacity, and ethnicity-and gender-based discrimination in the workplace. This study shows that social norms and ethical values play a non-negligible role in the functioning of the corporate governance regulation and in corporate culture in Sri Lanka.
Subcritical water extraction of Equisetum arvense biomass withdraws cell wall fractions that trigger plant immune responses and disease resistance
Authors: Rebaque Diego , López Gemma , Sanz Yolanda , Vilaplana Francisco , Brunner Frèderic , Mélida Hugo , Molina Antonio 
Published: May 2023

AbstractPlant cell walls are complex structures mainly made up of carbohydrate and phenolic polymers. In addition to their structural roles, cell walls function as external barriers against pathogens and are also reservoirs of glycan structures that can be perceived by plant receptors, activating Pattern-Triggered Immunity (PTI). Since these PTI-active glycans are usually released upon plant cell wall degradation, they are classified as Damage Associated Molecular Patterns (DAMPs). Identification of DAMPs imply their extraction from plant cell walls by using multistep methodologies and hazardous chemicals. Subcritical water extraction (SWE) has been shown to be an environmentally sustainable alternative and a simplified methodology for the generation of glycan-enriched fractions from different cell wall sources, since it only involves the use of water. Starting from Equisetum arvense cell walls, we have explored two different SWE sequential extractions (isothermal at 160 ºC and using a ramp of temperature from 100 to 160 ºC) to obtain glycans-enriched fractions, and we have compared them with those generated with a standard chemical-based wall extraction. We obtained SWE fractions enriched in pectins that triggered PTI hallmarks in Arabidopsis thaliana such as calcium influxes, reactive oxygen species production, phosphorylation of mitogen activated protein kinases and overexpression of immune-related genes. Notably, application of selected SWE fractions to pepper plants enhanced their disease resistance against the fungal pathogen Sclerotinia sclerotiorum. These data support the potential of SWE technology in extracting PTI-active fractions from plant cell wall biomass containing DAMPs and the use of SWE fractions in sustainable crop production.
Towards precision medicine in bariatric surgery prescription
Authors: Pereira Sofia S. , Guimarães Marta , Monteiro Mariana P. 
Published: May 2023

Abstract
Obesity is a complex, multifactorial and chronic disease. Bariatric surgery is a safe and effective treatment intervention for obesity and obesity-related diseases. However, weight loss after surgery can be highly heterogeneous and is not entirely predictable, particularly in the long-term after intervention. In this review, we present and discuss the available data on patient-related and procedure-related factors that were previously appointed as putative predictors of bariatric surgery outcomes. In addition, we present a critical appraisal of the available evidence on which factors could be taken into account when recommending and deciding which bariatric procedure to perform. Several patient-related features were identified as having a potential impact on weight loss after bariatric surgery, including age, gender, anthropometrics, obesity co-morbidities, eating behavior, genetic background, circulating biomarkers (microRNAs, metabolites and hormones), psychological and socioeconomic factors. However, none of these factors are sufficiently robust to be used as predictive factors. Overall, there is no doubt that before we long for precision medicine, there is the unmet need for a better understanding of the socio-biological drivers of weight gain, weight loss failure and weight-regain after bariatric interventions. Machine learning models targeting preoperative factors and effectiveness measurements of specific bariatric surgery interventions, would enable a more precise identification of the causal links between determinants of weight gain and weight loss. Artificial intelligence algorithms to be used in clinical practice to predict the response to bariatric surgery interventions could then be created, which would ultimately allow to move forward into precision medicine in bariatric surgery prescription.
The influence of structural isomerism on luminescence properties of [Re(CO)2(dppv)(pbi)] complexes containing cis-1,2-bis(diphenylphosphino)-ethene and 2-(2-pyridyl)benzimidazole ligands
Authors: Kamecka Anna , Kapturkiewicz Andrzej , Shova Sergiu , Suwińska Kinga 
Published: May 2023

AbstractSimple reaction procedure, boiling of an equimolar mixture of [Re(Cl)(CO)3(dppv)] (dppv—cis-1,2-bis(diphenylphosphino)-ethene), 2-(2-pyridyl)benzimidazole (pbi), and TlClO4 in o-dichlorobenzene solution, leads to two, chromatographically separable, isomers of [Re(CO)2(dppv)(pbi)] complex. The obtained species, the yellow-emissive [OC-6–54] and the orange-emissive [OC-6–53] isomers, have been identified using FT-IR, 1H NMR, and 31P NMR spectroscopy and their structures confirmed by means of X-ray investigations. According to obtained crystallography results, the investigated isomers differ mainly in the arrangement of the 2-(2-pyridyl)benzimidazole anion in their structures. Diverse arrangement of the dppv and pbi ligand around the central cis-[Re(CO)2]+ core results in well-pronounced changes in luminescence properties of the studied luminophores. According to results from performed DFT and TDA-DFT computations, the [OC-6–54] isomer emission occurs from the intra-ligand excitation localized mainly within the pbi ligand. In contrary to that, the [OC-6–53] isomer emission indicates some metal-to-ligand charge-transfer character associated with the charge transfer from the Re(CO)2(dppv)+ fragment to the pbi ligand. Moreover, both isomers exhibit different character of their emission decays, mono-exponential and bi-exponential for the [OC-6–54] and [OC-6–53] ones, respectively. In the view of obtained DFT/TDA-DFT results, this has been explained by the presence of an additional excited dark state, operative only in the case of the [OC-6–53] isomer and associated with the charge transfer from the Re(CO)2(pbi) fragment to the dppv ligand.
Intuitionistic Logic is a Connexive Logic
Authors: Fazio Davide , Ledda Antonio , Paoli Francesco 
Published: May 2023

AbstractWe show that intuitionistic logic is deductively equivalent to Connexive Heyting Logic ($$\textrm{CHL}$$
CHL
), hereby introduced as an example of a strongly connexive logic with an intuitive semantics. We use the reverse algebraisation paradigm: $$\textrm{CHL}$$
CHL
is presented as the assertional logic of a point regular variety (whose structure theory is examined in detail) that turns out to be term equivalent to the variety of Heyting algebras. We provide Hilbert-style and Gentzen-style proof systems for $$\textrm{CHL}$$
CHL
; moreover, we suggest a possible computational interpretation of its connexive conditional, and we revisit Kapsner’s idea of superconnexivity.
Surface Roughness-Induced Stress Concentration
Authors: Persson B. N. J. 
Published: May 2023

AbstractWhen a body is exposed to external forces large local stresses may occur at the surface because of surface roughness. Surface stress concentration is important for many application and in particular for fatigue due to pulsating external forces. For randomly rough surfaces, I calculate the probability distribution of surface stress in response to a uniform external tensile stress with the displacement vector field parallel to the rough surface. I present numerical simulation results for the stress distribution $$\sigma (x,y)$$

σ
(
x
,
y
)

and show that in a typical case the maximum local tensile stress may be $$\sim 10$$

∼
10

times bigger than the applied stress. I discuss the role of the stress concentration on plastic deformation and surface crack generation and propagation.
Graphical Abstract
Chemical and cytotoxicity profiles of 11 pink pepper (Schinus spp.) samples via non-targeted hyphenated high-performance thin-layer chromatography
Authors: Mügge Fernanda L. B. , Morlock Gertrud E. 
Published: May 2023

Abstract
Introduction
Pink pepper is a worldwide used spice that corresponds to the berries of two species, Schinus terebinthifolia Raddi or S. molle L. (Anacardiaceae). Toxic and allergic reactions by ingestion or contact with these plants were reported, and classical in vitro studies have highlighted the cytotoxic properties of apolar extracts from the fruits.

Objectives
Perform a non-targeted screening of 11 pink pepper samples for the detection and identification of individual cytotoxic substances.

Methods
After reversed-phase high-performance thin-layer chromatography (RP-HPTLC) separation of the extracts and multi-imaging (UV/Vis/FLD), cytotoxic compounds were detected by bioluminescence reduction from luciferase reporter cells (HEK 293 T-CMV-ELuc) applied directly on the adsorbent surface, followed by elution of detected cytotoxic substance into atmospheric-pressure chemical ionization high-resolution mass spectrometry (APCI-HRMS).

Results
Separations for mid-polar and non-polar fruit extracts demonstrated the selectivity of the method to different substance classes. One cytotoxic substance zone was tentatively assigned as moronic acid, a pentacyclic triterpenoid acid.

Conclusion
The developed non-targeted hyphenated RP-HPTLC–UV/Vis/FLD–bioluminescent cytotoxicity bioassay–FIA–APCI-HRMS method was successfully demonstrated for cytotoxicity screening (bioprofiling) and respective cytotoxin assignment.
„Erbe des Kulturkampfs“ oder „Folge programmatischer Verschiebung“? Die katholischen Wähler und die AfD – eine Replikationsstudie
Authors: Manow Philip , Flügel Dominik 
Published: May 2023

ZusammenfassungDiese Research Note unternimmt eine Replikation des 2022 erschienenen Artikels von Lukas Haffert The Long-Term Effects of Oppression: Prussia, Political Catholicism, and the Alternative für Deutschland und überprüft die in diesem Artikel aufgestellte These von den Langfrist-Effekten des Kulturkampfs auf heutiges Wahlverhalten katholischer Wähler und Wählerinnen. Wir bieten eine alternative Erklärung für den Befund, dass das Wahlverhalten von Katholiken bezüglich der Alternative für Deutschland regional nach ehemals preußischen und ehemals nichtpreußischen Gebiet variiert. Unsere Erklärung stellt auf die Unterschiede in der programmatisch-ideologischen Position von Bundes-CDU und Landesverbänden der Union beziehungsweise CSU in den Bundestagswahlen 2017 und 2021 ab. Wir finden empirische Evidenz im Einklang mit dieser alternativen Erklärung, während die „Kulturkampf-These“ bei näherer Überprüfung nicht bestätigt wird.
Behavioral and biologic characteristics of cancer-related cognitive impairment biotypes
Authors: Mulholland Michele M. , Prinsloo Sarah , Kvale Elizabeth , Dula Adrienne N. , Palesh Oxana , Kesler Shelli R. 
Published: May 2023

AbstractPsychiatric diagnosis is moving away from symptom-based classification and towards multi-dimensional, biologically-based characterization, or biotyping. We previously identified three biotypes of chemotherapy-related cognitive impairment based on functional brain connectivity. In this follow-up study of 80 chemotherapy-treated breast cancer survivors and 80 non-cancer controls, we evaluated additional factors to help explain biotype expression: neurofunctional stability, brain age, apolipoprotein (APOE) genotype, and psychoneurologic symptoms. We also compared the discriminative ability of a traditional, symptom-based cognitive impairment definition with that of biotypes. We found significant differences in cortical brain age (F = 10.50, p < 0.001), neurofunctional stability (F = 2.83, p = 0.041), APOE e4 genotype (X2 = 7.68, p = 0.050), and psychoneurological symptoms (Pillai = 0.378, p < 0.001) across the three biotypes. The more resilient Biotype 2 demonstrated significantly higher neurofunctional stability compared to the other biotypes. Symptom-based classification of cognitive impairment did not differentiate biologic or other behavioral variables, suggesting that traditional categorization of cancer-related cognitive effects may miss important characteristics which could inform targeted treatment strategies. Additionally, biotyping, but not symptom-typing, was able to distinguish survivors with cognitive versus psychological effects. Our results suggest that Biotype 1 survivors might benefit from first addressing symptoms of anxiety and fatigue, Biotype 3 might benefit from a treatment plan which includes sleep hygiene, and Biotype 2 might benefit most from cognitive skills training or rehabilitation. Future research should include additional demographic and clinical information to further investigate biotype expression related to risk and resilience and examine integration of more clinically feasible imaging approaches.
Posttraumatic Stress Disorder as a Consequence of Acute Cardiovascular Disease
Authors: Princip Mary , Ledermann Katharina , von Känel Roland 
Published: May 2023

Abstract
Purpose of Review
To provide an update of the current evidence of cardiac disease–induced posttraumatic stress disorder (CDI-PTSD) with a focus on acute coronary events.

Recent Findings
A cardiovascular disease, particularly a life-threatening cardiac event is often a highly stressful experience that can induce PTSD in patients and their caregivers, taking a chronic course if left untreated. There are several features distinguishing CDI-PTSD from “traditional” PTSD induced by external trauma, namely enduring somatic threat, inability to avoid trauma-related cues and hyperarousal with internal body sensations leading to constant fear of recurrent cardiac events. An increased risk of recurrent CVD events may be explained by pathophysiological changes, an unhealthy lifestyle and non-adherence to cardiac treatment. A trauma-focused approach might be useful to treat CDI-PTSD.

Summary
Treatment options for patients and caregivers as well as long-term effects of trauma-focused interventions on physical and mental health outcomes should be future research directions.
Hemobilia in the setting of cystic artery pseudoaneurysm secondary to type I Mirizzi syndrome
Authors: Williams Thomas , Maher Adrian , Redmond Kendal , Yeung Shinn , Ko Bong Suk 
Published: May 2023

AbstractHemobilia is an uncommon diagnosis and is often not suspected in the absence of recent hepatobiliary intervention or trauma. Hemobilia in the setting of cystic artery pseudoaneurysm secondary to type I Mirizzi syndrome is a rare occurrence. We report the case of a 61-year-old male who presented with epigastric pain and vomiting. Blood tests demonstrated hyperbilirubinemia with elevated inflammatory markers. Magnetic resonance cholangiopancreatography revealed type I Mirizzi syndrome in the presence of a 21 mm cystic duct stone. During endoscopic retrograde cholangiopancreatography, hemobilia was identified. Subsequent triple phase computed tomography imaging identified a 12 mm cystic artery pseudoaneurysm. Angiography with successful coiling of the cystic artery was accomplished. Cholecystectomy was performed, confirming type I Mirizzi syndrome. This case demonstrates the importance of considering ruptured pseudoaneurysm in patients presenting with evidence of upper gastrointestinal bleeding in the setting of biliary stone disease. Transarterial embolization, followed by surgical management, is effective in both the diagnosis and management of ruptured cystic artery pseudoaneurysm with associated hemobilia.