bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining the Impact of Intellectual Capital Performance on Financial Performance in Islamic Banks
Authors: Asutay Mehmet , Ubaidillah  
Published: February 2023

Abstract
This study explores the intellectual capital (IC) performance of Islamic banks (IBs) and examines the impact of intellectual capital on financial performance in terms of profitability and productivity in IBs. The IC features are also examined individually to identify the primary driver of IC performance and their individual impact on the IBs’ financial performance. A quantitative method using multi regression analysis is utilised to examine the nexus between IC and the IBs’ financial performance indicators. The measurement of IC uses Modified Value-Added Intellectual Coefficient (MVAIC™) which is an extended model of VAIC™. The data were drawn from 49 IBs from 2014 to 2018. The empirical findings indicate that IC is positively significant in impacting IBs’ financial performance measures, especially profitability, but inconclusively related to productivity. Furthermore, when the components were analysed separately, the nexus between these components and IBs’ financial performance indicators show lesser uniform results. Capital employed efficiency and human capital efficiency are found to be the most influential features of IC in this study, while structural capital efficiency does not show an impact on financial performance. Evidence also demonstrates that all IC components are not significantly related to IBs’ productivity indicator. The study offers an extended understanding of IC and its role in IBs and may provide guidance to different stakeholders including regulators and management of IBs to formulate and structure relevant strategies to create, utilize, and maintain IC for the more resilient banking sector, as extensive practical implications are provided for this purpose.
Cross-caps, triple points and a linking invariant for finitely determined germs
Authors: Pintér Gergő , Sándor András 
Published: February 2023

AbstractIt was recently proved that for finitely determined germs $$ \Phi : ( \mathbb C^2, 0) \rightarrow ( \mathbb C^3, 0) $$

Φ
:

(

C
2

,
0
)

→

(

C
3

,
0
)

the number $$C(\Phi )$$

C
(
Φ
)

of Whitney umbrella points and the number $$T(\Phi )$$

T
(
Φ
)

of triple values of a stable deformation are topological invariants. The proof uses the fact that the combination $$C(\Phi )-3T(\Phi )$$

C
(
Φ
)
-
3
T
(
Φ
)

is topological since it equals the linking invariant of the associated immersion $$S^3 \looparrowright S^5$$

S
3

↬

S
5

introduced by Ekholm and Szűcs. We provide a new, direct proof for this equality. We also clarify the relation between various definitions of the linking invariant.
New insight of metabolomics in ocular diseases in the context of 3P medicine
Authors: Zhang Quyan , Wang Nan , Rui Yuhua , Xia Yang , Xiong Siqi , Xia Xiaobo 
Published: February 2023

AbstractMetabolomics refers to the high-through untargeted or targeted screening of metabolites in biofluids, cells, and tissues. Metabolome reflects the functional states of cells and organs of an individual, influenced by genes, RNA, proteins, and environment. Metabolomic analyses help to understand the interaction between metabolism and phenotype and reveal biomarkers for diseases. Advanced ocular diseases can lead to vision loss and blindness, reducing patients’ quality of life and aggravating socio-economic burden. Contextually, the transition from reactive medicine to the predictive, preventive, and personalized (PPPM / 3P) medicine is needed. Clinicians and researchers dedicate a lot of efforts to explore effective ways for disease prevention, biomarkers for disease prediction, and personalized treatments, by taking advantages of metabolomics. In this way, metabolomics has great clinical utility in the primary and secondary care. In this review, we summarized much progress achieved by applying metabolomics to ocular diseases and pointed out potential biomarkers and metabolic pathways involved to promote 3P medicine approach in healthcare.
Critical Analysis of the Use of Semiempirical Models on the Dehydration of Thin-Layer Foods Based on Two Study Cases
Authors: Vega-Castro O. , Osorio-Arias J. , Duarte-Correa Y. , Jaques A. , Ramírez C. , Núñez H. , Simpson R. 
Published: February 2023

AbstractMoisture transport during food drying can be phenomenologically described by Fick’s second law and by the so-called anomalous diffusion model. However, in the literature, many studies have shown the extensive use of empirical/semiempirical models (EMs/SEMs) to adjust experimental data for the drying of thin-layer foods. This research aims to perform a critical analysis of the most commonly used EMs/SEMs and compare them with Fick’s second law and an anomalous diffusion model using two different sets of hot-air drying data. Two waste byproducts from the food industry, spent coffee grounds and passion fruit peels, were selected for analysis. The selected EMs/SEMs were found to be mathematically interrelated (i.e., some are a subset of others), and their appropriateness was incorrectly justified mainly by their statistical goodness-of-fit. As shown, it is highly recommended that researchers start analyzing drying data with phenomenological models. The extensive use of EMs and SEMs can be replaced by the anomalous diffusion model, which has a high capacity to adjust empirical data and a sound phenomenological description of the process.
Synergetic Effect of Fe2O3 Doped-CeO2 Nanocomposites Prepared via Different Techniques on Photocatalytic Desulfurization of Heavy Gas Oil
Authors: Radwan Manar S. , Aboutaleb Wael A. , El Naggar Ahmed M. A. , Medany Shymaa S. , Shehata Mohamed R. 
Published: February 2023

AbstractThe photocatalytic performances of three Fe2O3–CeO2 nanocomposites were investigated toward the sulfur removal from a petroleum heavy gas oil (HGO) sample. The three composites were prepared by three different routes namely; auto-combustion, post-precipitation and precipitation. The physio-chemical features and optical properties of the presented composites were determined via proper analytical techniques. Formation of Fe2O3–CeO2 solid solution in all the prepared composites was verified via XRD analysis. These composites were then employed in photo-desulfurization of HGO and their activities were investigated at several operating conditions. The highest photocatalytic desulfurization exploit (91.5%) could be detected for the composite which was prepared via auto-combustion technique, denoted as (Fe20Ce80)ac. This maximum percentage of sulfur removal could be obtained under visible light irradiation at the following optimum operating conditions: 15 g/L (as photocatalyst dose), time of 6 h and 2:1 of H2O2 to oil ratio. The subsequent implementation of a solvent extraction step using N-methyl pyrrolidone was needed to attain the deepest desulfurization of HGO. The efficiencies of the presented composites against the process of sulfur removal were discussed in spot of their textural and optical characteristics as well as the available oxygen vacancies through their lattices structures.
Radiatiecystitis en de behandeling ervan in het bijzonder met hyperbare zuurstof: een overzicht
Authors: Gerbrandy-Schreuders Lara Constance 
Published: February 2023

SamenvattingRadiatieschade van de blaas kan optreden na therapeutische bestraling van een orgaan in het bekkengebied, zoals blaas, prostaat of cervix. Deze behandeling kan acute (voorbijgaande) blaasproblemen geven, maar ook pas jaren later, met het ontwikkelen van chronische radiatiecystitis. Dit veroorzaakt hinderlijke symptomen, zoals frequente mictie, aandrangklachten, urine-incontinentie, chronische pijn en/of macroscopische hematurie. Dit laatste kan bij sommige patiënten tot meerdere spoedopnames in de kliniek leiden. Bij refractaire hemorragische cystitis kan een overzichtelijk stappenplan als leidraad gebruikt worden voor het bepalen van de optimale vervolgbehandeling. Met name bij milde tot matige macrohematurie kan hyperbare zuurstoftherapie (HBOT) overwogen worden. De mogelijkheden hiervoor zijn de laatste jaren toegenomen, HBOT is veilig en lijkt effectief.
Case report. Blokkade van de plexus hypogastricus superior en het ganglion impar bij urologische patiënten met pijn in de blaasregio
Authors: van den Brink Luna , Peeters Marthe C. M. , Glas Afina S. , van der Vegt Rien M. H. , Almaç Emre , van der Stroom Elizabeth M. C. , Schout Barbara M. A. 
Published: February 2023

SamenvattingPijn in de blaasregio kan een grote impact hebben op de kwaliteit van leven van de patiënt. Wanneer patiënten geen baat hebben bij medicamenteuze of intravesicale behandelingen kan plexusblokkade door de pijnspecialist een oplossing zijn ter acute verlichting van de pijn. Dit case report bespreekt twee casus waarbij blokkade van de plexus hypogastricus superior of het ganglion impar uitkomst heeft geboden. Ondanks het gebrek aan bewijs pleiten het relatief weinig-invasieve karakter van de ingreep en het lage risico op complicaties ervan, vóór het toepassen van plexusblokkades ter verlichting van pijn in de blaasregio.
Impact of Oats on Appetite Hormones and Body Weight Management: A Review
Authors: Shehzad Amna , Rabail Roshina , Munir Seemal , Jan Hamza , Fernández-Lázaro Diego , Aadil Rana Muhammad 
Published: February 2023

Abstract
Purpose of Review
This study aims to review the hunger hormones in obesity management and the impact of oats in regulating these hormones for hunger suppression and body weight management. In this review, the impact of various edible forms of oats like whole, naked, sprouted, or supplemented has been investigated for their appetite hormones regulation and weight management.

Recent Findings
The onset of obesity has been greatly associated with the appetite-regulating hormones that control, regulate, and suppress hunger, satiety, or energy expenditure. Many observational and clinical studies prove that oats have a positive effect on anthropometric measures like BMI, waist circumference, waist-to-hip ratio, lipid profile, total cholesterol, weight, appetite, and blood pressure. Many studies support the concept that oats are rich in protein, fiber, healthy fats, Fe, Zn, Mg, Mn, free phenolics, ß-glucan, ferulic acid, avenanthramides, and many more. Beta-glucan is the most important bioactive component that lowers cholesterol levels and supports the defense system of the body to prevent infections. Hence, several clinical studies supported oats utilization against obesity, appetite hormones, and energy regulation but still, some studies have shown no or little significance on appetite.

Summary
Results of various studies revealed the therapeutic potentials of oats for body weight management, appetite control, strengthening the immune system, lowering serum cholesterol, and gut microbiota promotion by increased production of short-chain fatty acids.
Effects of a vegetarian diet combined with aerobic exercise on glycemic control, insulin resistance, and body composition: a systematic review and meta-analysis
Authors: Long Yi , Ye Hua , Yang Jiaming , Tao Xi , Xie Huiyong , Zhang Jiahong , Zhong Yanbiao , Wang Maoyuan 
Published: February 2023

Abstract
Background
Vegetarian diets and aerobic exercise are increasingly accepted as a common way to improve lifestyle. Several studies have shown that vegetarian diets combined with aerobic exercise interventions have a significant effect on preventing and reducing the risk of metabolic diseases.

Methods
A search of the PubMed, EBSCO, Embase, CENTRAL, and Web of Science databases was conducted for comparative studies of pre- and post-vegetarian diet adoption combined with aerobic exercise interventions on glycemic control and body composition. Qualitative reviews and meta-analyses of fixed and random effects were conducted to pool available data. The results were validated by sensitivity analysis.

Results
A total of 27 studies were selected for meta-analysis. Combining the studies included in the meta-analysis showed a mean difference for homeostasis model assessment of insulin resistance of − 0.75 (− 1.08 to − 0.42), fasting plasma glucose of − 0.27(− 0.30 to − 0.23), waist circumference of − 1.10 (− 5.06 to 2.86) and body mass index of − 0.70 (− 1.38 to − 0.01).

Conclusion
In summary, our findings suggest that participants who adopted a vegetarian diet combined with aerobic exercise intervention had significantly lower fasting plasma glucose and insulin levels and improved body composition compared to preintervention participants.

Level of evidence
Level I, systematic review and meta-analysis.
Robust tracking control of unknown models for space in-cabin robots with a pneumatic continuum arm
Authors: Wang Hui , Ma Ke , Wu Sihuan , Li Minghao , Lian Xiaobin , Zhang Jinxiu 
Published: February 2023

AbstractThe service robots of space station in-cabin have attracted more and more attention. The space in-cabin robot with a pneumatic continuum arm is studied in this paper. It could be safer, more efficient and more flexible than the space rigid robot. However, the coupling motion of the moving base and the pneumatic continuum continuous arm brings a new challenge for controlling the end-effector to track the desired path. In this paper, a new control method based on the zeroing neural network (ZNN) is developed to solve the high-precision kinematics trajectory tracking control problem of unknown models. The real-time Jacobian matrix of the in-cabin robots with a pneumatic continuum arm is estimated by the input–output information when the parameter and the structure of the kinematic model are unknown. Moreover, this paper also employs a modified activation function power-sigmoid activation function (PSAF) to improve the robustness. In addition, it is proved through the Lyapunov stability theory that the proposed control approach is convergent and stable. Finally, the simulation results are given to show the effectiveness and robustness of the proposed control method for space in-cabin robots with a pneumatic continuum arm.
Machine Learning-Enhanced Flexible Mechanical Sensing
Authors: Wang Yuejiao , Adam Mukhtar Lawan , Zhao Yunlong , Zheng Weihao , Gao Libo , Yin Zongyou , Zhao Haitao 
Published: February 2023

AbstractTo realize a hyperconnected smart society with high productivity, advances in flexible sensing technology are highly needed. Nowadays, flexible sensing technology has witnessed improvements in both the hardware performances of sensor devices and the data processing capabilities of the device’s software. Significant research efforts have been devoted to improving materials, sensing mechanism, and configurations of flexible sensing systems in a quest to fulfill the requirements of future technology. Meanwhile, advanced data analysis methods are being developed to extract useful information from increasingly complicated data collected by a single sensor or network of sensors. Machine learning (ML) as an important branch of artificial intelligence can efficiently handle such complex data, which can be multi-dimensional and multi-faceted, thus providing a powerful tool for easy interpretation of sensing data. In this review, the fundamental working mechanisms and common types of flexible mechanical sensors are firstly presented. Then how ML-assisted data interpretation improves the applications of flexible mechanical sensors and other closely-related sensors in various areas is elaborated, which includes health monitoring, human–machine interfaces, object/surface recognition, pressure prediction, and human posture/motion identification. Finally, the advantages, challenges, and future perspectives associated with the fusion of flexible mechanical sensing technology and ML algorithms are discussed. These will give significant insights to enable the advancement of next-generation artificial flexible mechanical sensing.
Cyberbullying Roles and the Use of Psychoactive Substances: A Systematic Review
Authors: Biagioni Silvia , Baroni Marina , Melis Francesca , Baldini Federica , Menicucci Danilo , Potente Roberta , Molinaro Sabrina 
Published: February 2023

AbstractCyberbullying and psychoactive substance use are two common risky behaviors among adolescents, and a growing body of documents observe associations between these two phenomena. The present systematic review aims to clarify this association, analyzing the use of both legal and illegal psychoactive substances and all cyberbullying roles. To this purpose, a systematic search on PubMed, Scopus and PsycInfo databases was conducted, focusing on adolescents aged between 10 and 20 years old. The review was carried out following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, and it includes a total of fifty original articles. The majority of them observed a positive association between cyberbullying involvement and the use of psychoactive substances, especially tobacco and alcohol. Regarding moderator factors, some studies observed the aforementioned association only among girls. Moreover, controlling for gender, delinquent friends and low parental support, this association became not significant. Nevertheless, there was a lack of information about the role of those who witnessed cyberbullying, and the included articles showed mixed results regarding illegal substance use. The findings highlighted the need for further research in order to better clarify the association between cyberbullying and substance use, and equally explore all cyberbullying roles and substance types.
Size effect of anisotropic rock joint with two-order roughness
Authors: Huang Man , Liu Dan , Weng Hanqian , Hong Chenjie , Tao Zhigang , Huang Yixiao 
Published: February 2023

AbstractThe primary objective of this work is to improve the understanding of the characteristics of the joint anisotropy in two-order morphology and its variations in size. In this respect, the wavelet analysis method is applied to isolate waviness from unevenness in three lithological natural joints. The 3D parameter $$\theta_{\max }^{ * } /(C + 1)$$

θ

max

∗

/

(
C
+
1
)

is utilized to characterize the roughness of the two-order morphology in 36 directions, while the anisotropy behavior is quantified based on the anisotropic variation coefficient (AVC). The anisotropic distribution of two-order roughness in large-sized joint surfaces indicates that the first-order roughness mainly reflects the anisotropy of the total roughness, while the second-order roughness is mainly isotropic. Further analysis of the size effect of AVC values and the stable sizes of slate, tuff and limestone are determined to be 200 mm, 700 mm and 500 mm, respectively. Furthermore, the contribution rate of the two-order roughness to the total roughness is estimated in 36 directions based on the functional relationship between them, while the size effect of the contribution rate is utilized to explore the influence mechanism of the two-order roughness with size. These results provide a theoretical basis for exploring the size effect mechanism of the anisotropy of shear strength in two-order morphology.
A DEM–CFD coupling method for modelling two-hole synchronous hydraulic fracturing
Authors: Yang Wendong , Lv Xianxian , Wang Lige , Peng Di , Chen Xizhong 
Published: February 2023

AbstractThis work introduced a novel numerical approach for modelling hydraulic fracturing processes. The Edinburgh bonded particle model was employed to establish the discrete element model of the rock samples, and it was further coupled with computational fluid dynamics to simulate the hydraulic fracturing. The fracture propagation law was taken into account under various principal stress differences to confirm the viability of the model. In addition, the model was used to investigate the fracture propagation mechanism of two-hole synchronous hydraulic fracturing. The results indicate that the arrangement and spacing of two holes will affect the complexity of hydraulic fractures. The principal stress difference becomes more prominent in the direction of hydraulic fracture propagation with the increase in the principal stress difference.
Distributed Identification of Central Nodes with Less Communication
Authors: Masakuna Jordan F. , Kafunda Pierre K. 
Published: February 2023

AbstractThis paper is concerned with distributed detection of central nodes in complex networks using closeness centrality. Closeness centrality plays an essential role in network analysis. Distributed tasks such as leader election can make effective use of centrality information for highly central nodes, but complete network information is not locally available. Evaluating closeness centrality exactly requires complete knowledge of the network; for large networks, this may be inefficient, so closeness centrality should be approximated. Here, situations for decentralised network view construction where a node has zero knowledge about other nodes on the network at initial and there is no central node to coordinate evaluations of node closeness centrality are considered. Unlike centralized methods for detection of central nodes, in decentralized methods an approximated view of the network must be available at each node, then each node can evaluate its own closeness centrality before it can share it with others when applicable. Based on our knowledge, there is no much work done under this setting where the leading approach consists of running the breadth-first search Skiena (1998) on each node with a limited number of iterations (which is less than the diameter of the graph into consideration), as done by You et al. (2017), Wehmuth and Ziviani (2012), before each node evaluates its centrality. Running the breadth-first search on each node in a decentralized fashion requires high cost in terms of communication. Our contribution is to consider a better way of constructing network view in a decentralised manner with less communication cost. This paper refines a distributed centrality computation algorithm by You et al. (2017) by pruning nodes which are almost certainly not most central. For example, in a large network, leave nodes can not play a central role. This leads to a reduction in the number of messages exchanged to determine the centrality of the remaining nodes. Our results show that our approach reduces the number of messages for networks which contain many prunable nodes. Our results also show that reducing the number of messages may have a positive impact on running time and memory size.
Refresher: „ESHRE guidelines“ zum Management der POI
Authors: Blickenstorfer Kerstin 
Published: February 2023

ZusammenfassungBei der prämaturen Ovarialinsuffizienz (POI) kommt es zu einem Versiegen der ovariellen Funktion vor dem 40. Lebensjahr. Die Prävalenz liegt bei ca. 1 %. Klinisch präsentieren sich diese Patientinnen mit einer Oligo‑/Amenorrhö von mindestens vier Monaten, meist kombiniert mit diversen Östrogenmangelsymptomen. Diagnostisch zeigen sich hypergonadotrope Hormonwerte (FSH > 25 pmol/l), die in zwei Messungen im Abstand von mindestens vier Wochen bestimmt worden sein sollten. Bei nichtiatrogener POI sollten neben möglichen genetischen Ursachen auch autoimmunologische Ursachen ausgeschlossen werden. Bleiben alle Abklärungen unauffällig, spricht man von einer idiopathischen POI. Zunehmend ist die Anzahl der Patientinnen mit iatrogener POI, nach erfolgter Radiotherapie, Chemotherapie oder Operationen im Bereich von Ovarien und Uterus. Da aufgrund des Östrogenmangels bei POI neben diversen Östrogenmangelsymptomen auch ein erhöhtes Risiko für kardiovaskuläre Erkrankungen, Osteoporose sowie zunehmende kognitive Einschränkungen und eine erhöhte Gesamtmortalität bestehen, sollte bei diesen Patientinnen eine Hormonersatztherapie (HRT) initiiert und bis zum physiologischen Menopausenalter fortgeführt werden. Die Fertilität ist bei diesen Patientinnen deutlich reduziert. Bei spontan eingetretener POI liegt die Schwangerschaftschance bei maximal 5 %, sodass häufig nur der Weg der Eizellspende verbleibt. Patientinnen vor gonadotoxischen Therapien sollten vorgängig über die fertilitätserhaltenden Möglichkeiten an entsprechenden Zentren informiert und nachfolgend behandelt werden.