bluuebunny/crossref_metadata_2025_split huggingface dataset:
AURKA Enhances the Glycolysis and Development of Ovarian Endometriosis Through ERβ
Authors: Sun Yujun , Zhang Shucai , Zhang Xiaohui , Li Guotao , Sun Fangyuan , Wang Mengxue , Ren Chune , Jiang Aifang , Yang Tingting 
Published: February 2024

Abstract
Ovarian endometriosis (EMs) is a benign, estrogen-dependent gynecological disorder. Estrogen receptor beta (ERβ), a nuclear receptor for estradiol, plays an important role in the development of ovarian EMs. Here, we investigated the biological significance of aurora kinase A (AURKA) in ovarian EMs and the mechanism by which it regulates ERβ. We used immunohistochemical assays to verify that AURKA and ERβ were highly expressed in ectopic endometrial tissues. Cell proliferation and colony formation assays were used to demonstrate that AURKA promoted the proliferation of EMs cells. Wound-healing assay, Transwell migration assay, and Matrigel invasion assay further showed that AURKA enhanced the ability of EMs cells to migrate and invade. In addition, AURKA was shown to stimulate glycolysis in EMs cells by measuring the concentration of glucose and lactate in the cell supernatants. Moreover, the AURKA inhibitor alisertib was found to inhibit the progression of ovarian EMs and glycolysis in a mouse model of EMs by measuring ectopic tissues as well as by testing the peritoneal fluid of mice. Furthermore, coimmunoprecipitation assay showed that AURKA interacted with ERβ. The rescue experiments confirmed that AURKA regulated the development and glycolysis of ovarian EMs in an ERβ-dependent manner. AURKA contributed to the development of ovarian EMs by upregulating of ERβ. AURKA may represent a new target for the treatment of ovarian EMs.
DEVELOPMENT OF A MULTICRITERIA MODEL OF DISTRIBUTION OF ADMISSION QUOTAS
Authors: Amirkhanyan Liana G. , Amirkhanyan Anna G. , Saraev Aleksey A. , Smirnov Andrey V. 
Published: February 2024

Objective. The main problem of higher education institutions is that there is a well-developed system of approval and distribution of admission control figures between educational organizations, but there is no unified system of distribution of budgetary and paid places within enlarged groups of directions and specialties (UGSS). In this regard, it is proposed to develop a multi-criteria model for the distribution of budgetary and paid places within the USGS, which will be a tool for analyzing the demand for certain directions among applicants and considering the risks of not filling the directions, which may be allocated more than the number of applicants.
Method or methodology of work. The research is based on multi-criteria optimization, data normalization, additive convolution, construction of the BCG matrix.
Results. The developed model makes it possible to compile the optimal distribution for the university, which can be used both for a specific USGS and for the whole university, which is ensured by multilevel optimization, which was used to solve the problem. Also the model allows to take into account the risks of not filling the places and minimize them.
Scope of application of the results. The results of the study can be applied in the field of enrollment forecasting.
Paraneoplastic pemphigus and reported, identified underlying diseases
Authors: Iwańczuk Paweł 
Published: February 2024

Introduction: Pemphigus is a rare group of autoimmune diseases that promote development of various skin eruptions, the most commonly it presents with blisters. The several types of pemphigus are: pemphigus vulgaris, pemphigus foliaceus, intraepidermal neutrophillic IgA dermatosis and especially rare type- paraneoplastic pemphigus, which is main topic of this publication. Paraneoplastic pemphigus is a disease which affects patients with developing carcinogenesis process. Usually it is a malignant process, but there are also some cases which describe paraneoplastic pemphigus associated with benign tumors. Because of its occurence our current level of knowledge about different aspects of paraneoplastic pemphigus is not final and as comprehensive as researchers and patients wish.

Aim of study: The main purpose of this publication is presentation a review of literature about paraneoplastic pemphigus- its epidemiology, physiopathology, pathomorfology, clinical features, and description of different types of benign or malignant processes which concomitence with paraneoplastic pemphigus.

State of knowledge: Paraneoplastic pemphigus is a rare autoimmune disease, which aspects are not widely described, but there are some reports about epidemiology, pathophysiology, histopathology, treatment and associated confirmed malignancies. The challenge for future is to formulate clear, formal, treatment protocols for paraneoplastic pemphigus.

Conclusion: Paraneoplastic pemphigus is a very fascinating disease for researchers because there are still very limited reports and statistics about this very rare disorder. Nonetheless year by year our level of knowledge about pathogenesis, clinical features, associated malignant and benign processes is growing and it can affect more personalized, effective treatment methods and protocoles.
Pseudometric spaces: From minimality to maximality in the groups of combinatorial self-similarities
Authors: Bilet Viktoriia , Dovgoshey Oleksiy 
Published: February 2024

Abstract
The group of combinatorial self-similarities of a pseudometric space

(

X
,
d

)

\left(X,d)

is the maximal subgroup of the symmetric group

Sym

(

X

)

{\rm{Sym}}\left(X)

whose elements preserve the four-point equality

d

(

x
,
y

)

=
d

(

u
,
v

)

d\left(x,y)=d\left(u,v)

. Let us denote by

ℐP

{\mathcal{ {\mathcal I} P}}

the class of all pseudometric spaces

(

X
,
d

)

\left(X,d)

for which every combinatorial self-similarity

Φ
:
X
→
X

\Phi :X\to X

satisfies the equality

d

(

x
,
Φ

(

x

)

)

=
0
,

d\left(x,\Phi \left(x))=0,

but all permutations of metric reflection of

(

X
,
d

)

\left(X,d)

are combinatorial self-similarities of this reflection. The structure of

ℐP

{\mathcal{ {\mathcal I} P}}

-spaces is fully described.
Human Capital Investments and Family Size in Italy: IV Estimates Using Twin Births as an Instrument
Authors: Ponzo Michela , Scoppa Vincenzo 
Published: February 2024

Abstract
Human capital investments at an early age appear crucial for individual outcomes. Family size might affect these investments influencing parental time and economic resources invested in children’s education. This feature is related to the children quantity-quality trade-off proposed by Becker that has been investigated only for a few countries because of data limitations. We investigate this issue for Italy – even in the absence of Census data relating family of origin to children’s educational outcomes – using many waves of the Survey on Household Income and Wealth of the Bank of Italy and focusing on the educational attainments of 19–23 years old. We use twin births as an instrumental variable to identify exogenous variations in family size. In contrast with the results from other developed countries, we find a significant negative effect of family size on children’s education, probably related to the low quality of education in some regions of the country and to the poor public assistance of families with children. We show that these findings are robust to a number of checks. The effects appear stronger for women, Southern regions, low-income families and when spacing between births is limited, suggesting that both time and financial constraints are mechanisms at work. We also find strong birth order effects.
The optimal allocation of thyristor-controlled series compensators for enhancement HVAC transmission lines Iraqi super grid by using seeker optimization algorithm
Authors: Jawad Ihsan Mousa , Abdulrasool Ali Qasim , Mohammed Abbas Q. , Majeed Wafaa Said , Salim ALRikabi Haider TH. 
Published: February 2024

AbstractMeta-heuristic approaches evaluate the optimum size and position of flexible alternative current transmission systems power systems. The seeker optimization algorithm (SOA) technique was used to solve power engineering optimization problems with better performance than traditional approaches. This article shows the application of SOA for optimal setting and allocation of thyristor-controlled series compensators (TCSCs) in a transmission line. TCSC devices are used to improve transmission systems’ capacity and voltage profile by controlling the transmission line reactance. The IEEE 30 bus system, as well as the Iraqi Super Grid 400 kV system, is used as a test system to illustrate the technique used. Results showed that the installation of TCSC unites the aims to reduce the voltage deviation, reduce the losses of active/reactive power, and increase transmission line reserves over thermal limits. TCSC devices are very effective for the better use of existing installations without sacrificing the stability margin. SOA is intended to identify the best location and size of TCSC devices that resolve the technological difficulties of reducing the TCSC devices’ costs.
Gain enhancement of ultra-wideband hexagonal slot antenna using tessellated rhombic loops based reflector
Authors: Verma Ashish Kumar , Singhal Rahul 
Published: February 2024

AbstractA simple technique for gain enhancement of irregular hexagonal shaped ultra-wide band (UWB) slot antenna by inclusion of closely packed tessellated rhombic loop (TRL) based FSS is presented in this paper. The slot antenna is designed to cover entire UWB (3.1–10.6 GHz) frequency range with stable bi-directional radiation pattern. Also, it exhibits non-uniform boresight gain in zenith (θ = 0°) and nadir (θ = 180°) directions. The slot antenna is further loaded with TRL FSS at both slot and feed side separately to study distinct configurations of antenna integrated with FSS and evaluate the impact of the configurations of FSS on antenna performance. Later, an antenna and antenna loaded with TRL FSS prototype are developed for experimental validations. Through measurements it is found that the slot antenna covers entire UWB frequency band and provides a maximum of 4.31 dB gain in zenith direction while 4 dB gain in nadir direction. A gain enhancement of 2.44 dB in zenith and 3.8 dB in nadir directions are achieved when the slot antenna is integrated with TRL FSS along feed side and slot side separately. The measured results confirm the simulated results well.
On the property-denoting clitic ne and the determiner de/di: a comparative analysis of Catalan and Italian
Authors: Espinal M.Teresa , Giusti Giuliana 
Published: February 2024

Abstract
The clitic pronoun ne and the functional element de introducing nominal constituents have many nominal and prepositional functions across Romance languages. In this article, we focus on the nominal functions, singling out three different bundles of semantic features that characterize both ne and de. They can denote properties of individual entities, properties of kinds, or predicate properties. The article shows that Catalan ne and de display the three types of denotation, while Italian ne and de only display the first one. This article further supports the hypothesis that the indefinite determiner de can be overt or silent, thereby unifying de-phrases (and the Italian partitive article) with bare nouns. The analysis of de as an indefinite determiner is then extended to adjectival de, which is claimed to mark concord features on adjectives in both Catalan and Italian.
Theoretical study of a highly fault-tolerant and scalable adaptive radiative cooler
Authors: Li Bin , Hu Jiaqi , Chen Changhao , Hu Hengren , Zhong Yetao , Song Ruichen , Cao Boyu , Peng Yunqi , Xia Xusheng , Chen Kai , Xia Zhilin 
Published: February 2024

Abstract
Conventional static radiative coolers have an unadjustable cooling capacity, which often results in overcooling in low temperature environment. Therefore, there is a great need for an adaptive dynamic radiative cooler. However, such adaptive coolers usually require complex preparation processes. This paper proposes an adaptive radiative cooler based on a Fabry–Perot resonant cavity. By optimizing the structural parameters of the radiative cooler, this adaptive radiative cooler achieves a modulation rate of 0.909 in the atmospheric window band. The net radiative cooling performance difference between low and high temperatures is nearly eight times. Meanwhile, the device is easily prepared, has a high tolerance, and can effectively prevent W–VO2 oxidation. This study provides new insights into adaptive radiative cooling with potential for large-scale applications.
A review of ternary polymer nanocomposites containing clay and calcium carbonate and their biomedical applications
Authors: Mohammadpour-Haratbar Ali , Zare Yasser , Munir Muhammad Tajammal , Rhee Kyong Yop , Park Soo-Jin 
Published: February 2024

Abstract
Patchy interactions and heterogeneous charge distribution make nanoclay (NC) a promising biomaterial to interact with different biomolecules, polymers, and biological components. Many researchers have studied the polymer/clay nanocomposites in recent years. However, some deficiencies, such as poor impact strength, limit the application of polymer/clay nanocomposites in different fields. As a result, many attempts have been made to resolve this problem. Also, researchers have developed calcium carbonate (CaCO3) nanoparticles as biomedical materials. The nontoxic properties and biocompatibility of both CaCO3 and NC make their nanocomposites ideal for biomedical applications. In this article, a detailed review of the ternary polymer nanocomposites containing NC and CaCO3 is presented. The morphological, thermal, mechanical, and rheological characteristics, in addition to the modeling of behavior and foam properties, are studied in this article. In addition, the potential challenges for ternary nanocomposites and their biomedical applications are discussed.
Numerical analysis of thermophoretic particle deposition in a magneto-Marangoni convective dusty tangent hyperbolic nanofluid flow – Thermal and magnetic features
Authors: Li Shuguang , Ali Kashif , Algarni Salem , Alqahtani Talal , Ahmad Sohail , ElSeabee Fayza Abdel Aziz , Ullah Hameed , Jamshed Wasim , Irshad Kashif 
Published: February 2024

Abstract
In the current study, we focus on the Magneto-Marangoni convective flow of dusty tangent hyperbolic nanofluid (TiO2 – kerosene oil) over a sheet in the presence of thermophoresis particles deposition and gyrotactic microorganisms. Along with activation energy, heat source, variable viscosity, and thermal conductivity, the Dufour-Soret effects are taken into consideration. Variable surface tension gradients are used to identify Marangoni convection. Melting of drying wafers, coating flow technology, wielding, crystals, soap film stabilization, and microfluidics all depend on Marangoni driven flow. This study’s major objective is to ascertain the thermal mobility of nanoparticles in a fluid with a kerosene oil base. To improve mass transfer phenomena, we inserted microorganisms into the base fluid. By using similarity transformations, the resulting system of nonlinear partial differential equations is converted into nonlinear ordinary differential equations. Using a shooting technique based on RKF-45th order, the numerical answers are obtained. For various values of the physical parameters, the local density of motile microorganisms, Nusselt number, skin friction, and Sherwood number are calculated. The findings demonstrated that as the Marangoni convection parameter is raised, the velocity profiles of the dust and fluid phases increase, but the microorganisms, concentration, and temperature profiles degrade in both phases.
Yield performance and stability analysis of three cultivars of Gayo Arabica coffee across six different environments
Authors: Wardiana Edi , Randriani Enny , Dani  , Izzah Nur Kholilatul , Ibrahim Meynarti Sari Dewi , Sasmita Kurnia Dewi , Saefudin  , Pranowo Dibyo , Herman Maman , Supriadi Handi , Aunillah Asif , Purwanto Eko Heri , Listyati Dewi 
Published: February 2024

Abstract
The three cultivars of Gayo Arabica coffee (GAC) are distributed widely in the Gayo Highlands, Aceh Province, Indonesia, between 900 and 1,700 m above sea level (masl). The difference in altitude affects the yield and quality of coffee, and Arabica coffee has biennial bearing characteristics, so there are always annual yield fluctuations. This study aimed to determine the yield performance and stability level of the three GAC cultivars, Gayo 1, Gayo 2, and Gayo 3 (G3), across six different environments. The study used a randomized complete block design with three replications. The six environmental conditions are the combinations of two altitudes (900 and 1,500 masl) and 3 years of production (2019, 2020, and 2021). The estimation of coffee yields is based on the fruit value, which is calculated by the number of productive branches per tree, nodes per branch, berries per node, and the weight of a single cherry. An investigation of the genotype-by-environmental interaction using a combined analysis of variance and the yield performance and stability analysis performed using the Eberhart and Russell method, AMMI (additive main effects and multiplicative interaction) and GGE (genotype + genotype × environment) biplot analysis. Results showed that the yield performance of GAC was significantly affected by the interaction between genotype and environment. G3 was an ideal cultivar because it had high yield performance, was stable, and could adapt to broader environments in Gayo Highland. Therefore, G3 deserves high priority for Arabica coffee development in that region.
A new tool for studying seasonality and spatio-temporal structure of ENSO cycles in data and ESM simulations
Authors: Mukhin Dmitry , Safonov Semen , Gavrilov Andrey , Gritsun Andrey , Feigin Alexander 
Published: February 2024

Abstract
In this work, we present a new diagnostic tool for El Niño Southern Oscillation (ENSO) simulations in Earth System Models (ESMs) based on the analysis of upper ocean heat content data. It allows us to identify the seasonally dependent structure of temperature anomalies in the equatorial Pacific Ocean in the form of a dominant spatio-temporal pattern. We demonstrate the results of applying a tool to analysis of real data as well as climate simulations in two versions of the Institute of Numerical Mathematics ESM. We find that the latest version of the model, with improved parameterizations of clouds, large-scale condensation, and aerosols, provides significantly better reproduction of ENSO-related structure of anomalies, as well as the phase locking of ENSO to the annual cycle. We recommend to use the tool for diagnostic analysis of ESMs regarding simulation of climate phenomena with strong seasonality.
Integrating Risk into the Analysis
Authors: Saretz Benedikt , Friedli Thomas 
Published: February 2024

Abstract
In times of global turbulence, risk management is key to ensuring competitiveness. For the management of manufacturing networks, the analysis of country risks is crucial. Operations managers must identify and manage risks arising from adverse country developments at an early stage. This paper presents a framework to map these risks and their impact on the manufacturing network. Two industry examples show how operations managers can use the approach to analyze and mitigate country-level risks.
Nachhaltige Produktionsoptimierung
Authors: Werner Andreas , Raidt Nicolai , Barwasser Adrian , Werner Matthias , Zimmermann Nikolas 
Published: February 2024

Abstract
In diesem Beitrag wird ein Konzept zur flexiblen Produktionsplanung und -steuerung vorgestellt, welches sich an der dezentral erzeugten und wetterabhängig fluktuierenden verfügbaren Solarenergie orientiert. Damit soll insbesondere produzierenden kleinen und mittleren Unternehmen eine Hilfestellung gegeben werden, wie sie die ökologische Nachhaltigkeit ihrer Produktion optimieren können. Der Ansatz wurde gemeinsam mit der Firma Haller-Jauch GmbH, einem Hersteller von Mikrodrehteilen und Federn, erprobt, prototypisch umgesetzt und validiert.
Geschäftsmodellentwicklung für Kreislaufwirtschaft und Nachhaltigkeit
Authors: Gellert Benjamin , Buxmann Henry Nicolai , Orth Ronald 
Published: February 2024

Abstract
Die Transformation zur klimafreundlichen Produktion erfordert neben der Reduktion von Treibhausgasemissionen auch eine verstärkte Anwendung von Kreislaufwirtschaftsprinzipien. Bisher liegt dabei der Fokus meist auf technologischen Lösungen. Dieser Beitrag zeigt, wie Zirkularität strategisch auf der Ebene von Geschäftsmodellen implementiert werden kann. Ziel ist, durch eine systematische Vorgehensweise und die Nutzung eines Geschäftsmodellmusterkatalogs, Potenziale zur Förderung der Kreislaufwirtschaft in Unternehmen zu identifizieren und diese auszuschöpfen.
Substitution von energieintensiven Primärmaterialien
Authors: Wallrapp Tobias , Vogt Elias Gebhard , Meyer Christian , Rössinger Markus , Juraschek Max , Herrmann Christoph 
Published: February 2024

Abstract
Als Beitrag zur nachhaltigen Automobilproduktion wird im Folgenden die Substitution mit umweltverträglichen Werkstoffen in Form von Holz und CO2-reduziertem Stahl im Karosserieanlagenbau evaluiert. Hierzu werden mittels einer Fallstudie bei einem Betriebsmittel des Anlagenbaus die Potenziale analysiert und resultierende Zielkonflikte identifiziert. Aus dieser geht hervor, dass die Werkstoffsubstitution eine wirksame Methode zur Reduzierung der Umweltwirkungen ist.
Integration eines ChatGPT-gestützten Part Vectorizers in das Trichter-Sieb-Modell
Authors: Hartig Sascha , Fette Marc , Wulfsberg Jens P. 
Published: February 2024

Abstract
Der ChatGPT-basierte Part Vectorizer transformiert durch Nutzerinteraktion physische Bauteileigenschaften in Komplexitätsvektoren, die für rechnergestützte Planungstools in Additiver Fertigung essenziell sind. Die Erweiterung des Trichter-Modells um ein Komplexitätssieb bildet das Kernstück des Trichter-Sieb-Modells, wodurch eine präzise Produktionssteuerung innerhalb eines Level-Systems ermöglicht wird. Dieser Ansatz kombiniert Künstliche Intelligenz (KI) mit fortgeschrittenen Planungsmodellen, um die Anpassungsfähigkeit an wechselnde Anforderungen in zeitweise autarken Systemen zu verbessern.
Learning and metacognition under volatility in GD: Lower learning rates and distorted coupling between action and confidence
Authors: Hoven Monja , Luigjes Judy , van Holst Ruth J. 
Published: February 2024

AbstractBackground and aimsDecisions and learning processes are under metacognitive control, where confidence in one's actions guides future behaviour. Indeed, studies have shown that being more confident results in less action updating and learning, and vice versa. This coupling between action and confidence can be disrupted, as has been found in individuals with high compulsivity symptoms. Patients with Gambling Disorder (GD) have been shown to exhibit both higher confidence and deficits in learning.MethodsIn this study, we tested the hypotheses that patients with GD display increased confidence, reduced action updating and lower learning rates. Additionally, we investigated whether the action-confidence coupling was distorted in patients with GD. To address this, 27 patients with GD and 30 control participants performed a predictive inference task designed to assess action and confidence dynamics during learning under volatility. Action-updating, confidence and their coupling were assessed and computational modeling estimated parameters for learning rates, error sensitivity, and sensitivity to environmental changes.ResultsContrary to our expectations, results revealed no significant group differences in action updating or confidence levels. Nevertheless, GD patients exhibited a weakened coupling between confidence and action, as well as lower learning rates.Discussion and conclusionsThis suggests that patients with GD may underutilize confidence when steering future behavioral choices. Ultimately, these findings point to a disruption of metacognitive control in GD, without a general overconfidence bias in neutral, non-incentivized volatile learning contexts.