bluuebunny/crossref_metadata_2025_split huggingface dataset:
Water lubrication of graphene oxide-based materials
Authors: Xue Shaoqing , Li Hanglin , Guo Yumei , Zhang Baohua , Li Jiusheng , Zeng Xiangqiong 
Published: August 2021

AbstractWater is as an economic, eco-friendly, and efficient lubricant that has gained widespread attention for manufacturing. Using graphene oxide (GO)-based materials can improve the lubricant efficacy of water lubrication due to their outstanding mechanical properties, water dispersibility, and broad application scenarios. In this review, we offer a brief introduction about the background of water lubrication and GO. Subsequently, the synthesis, structure, and lubrication theory of GO are analyzed. Particular attention is focused on the relationship between pH, concentration, and lubrication efficacy when discussing the tribology behaviors of pristine GO. By compounding or reacting GO with various modifiers, amounts of GO-composites are synthesized and applied as lubricant additives or into frictional pairs for different usage scenarios. These various strategies of GO-composite generate interesting effects on the tribology behaviors. Several application cases of GO-based materials are described in water lubrication, including metal processing and bio-lubrication. The advantages and drawbacks of GO-composites are then discussed. The development of GO-based materials for water lubrication is described including some challenges.
Il carcinoma familiare non midollare della tiroide non sindromico
Authors: Capezzone Marco , Castagna Maria Grazia 
Published: September 2021

SommarioIl carcinoma non midollare della tiroide (non medullary thyroid cancer, NMTC) è generalmente sporadico ma può presentarsi in forma familiare (familial non medullary thyroid cancer, FNMTC) in circa il 10% dei casi. Negli anni si sono accumulate evidenze a favore di una predisposizione genetica ereditaria del FNMTC, come la scoperta di alcuni loci di suscettibilità, la presenza di alterazioni molecolari a carico del complesso telomero-telomerasi e l’evidenza di polimorfismi a singolo nucleotide (SNPs) associati statisticamente al rischio di sviluppare la malattia. Molti studi clinici concordano nell’attribuire al FNMTC un fenotipo più aggressivo rispetto alla controparte sporadica, supportando l’ipotesi che esso rappresenti una entità a sé, clinicamente distinta dalla forma sporadica. Sebbene la presenza di possibile familiarità per carcinoma tiroideo debba essere sempre valutata attraverso un’accurata anamnesi familiare, le attuali linee guida non si esprimono a favore o contro lo screening ecografico nei pazienti con FNMTC non-sindromico. Tuttavia, alla luce delle più attuali conoscenze, sembrerebbe ragionevole raccomandare uno screening ecografico almeno nelle famiglie con tre o più membri affetti.
Optimal components selection based on fuzzy-intra coupling density for component-based software systems under build-or-buy scheme
Authors: Kalantari Samira , Motameni Homayun , Akbari Ebrahim , Rabbani Mohsen 
Published: August 2021

AbstractComponent-Based Software Engineering (CBSE) is an approach to building and developing software systems based on software components. In component-based software systems, there are various software components, including Commercial off the Shelf (COTS) and in-house components. Software developers can build their desired software component as in-house or COTS. The problem of deciding optimally between COTS and in-house components is one of the major challenges of software developers, which is known as the component selection problem. This can be resolved by evaluating the criteria for optimality in component selection and then solving the component selection problem by optimization techniques. In this paper, an attempt was made to optimize the component selection problem through the multi-objective optimization by maximizing the Fuzzy-Intra Coupling Density (Fuzzy-ICD) and functionality as objective functions, and also taking into account budget, delivery time, reliability, and Fuzzy-ICD as constraints of multi-objective problems. Fuzzy ICD is a more accurate criterion to calculate the relationship between Cohesion and Coupling of components, which is obtained through the fuzzy computing of each of them, based on the Meyers classification. Thus, after a two-criterion optimization model formulation, this optimization problem was solved by fuzzy multi objectives approach. Finally, the proposed method was evaluated by performing the case study of financial-accounting system. Comparison of the results showed that the proposed method could select optimal components with maximum functionality and Fuzzy-ICD and fewer rates of time and Budget (0.29, 0.43, 1.1 s, and 88$ were the improved rates of functionality, Fuzzy-ICD, time, and budget, respectively).
Hyper-heuristic approach: automatically designing adaptive mutation operators for evolutionary programming
Authors: Hong Libin , Woodward John R. , Özcan Ender , Liu Fuchang 
Published: August 2021

AbstractGenetic programming (GP) automatically designs programs. Evolutionary programming (EP) is a real-valued global optimisation method. EP uses a probability distribution as a mutation operator, such as Gaussian, Cauchy, or Lévy distribution. This study proposes a hyper-heuristic approach that employs GP to automatically design different mutation operators for EP. At each generation, the EP algorithm can adaptively explore the search space according to historical information. The experimental results demonstrate that the EP with adaptive mutation operators, designed by the proposed hyper-heuristics, exhibits improved performance over other EP versions (both manually and automatically designed). Many researchers in evolutionary computation advocate adaptive search operators (which do adapt over time) over non-adaptive operators (which do not alter over time). The core motive of this study is that we can automatically design adaptive mutation operators that outperform automatically designed non-adaptive mutation operators.
Applying Artificial Intelligence (AI) Techniques to Implement a Practical Smart Cage Aquaculture Management System
Authors: Chang Chung-Cheng , Wang Jung-Hua , Wu Jenq-Lang , Hsieh Yi-Zeng , Wu Tzong-Dar , Cheng Shyi-Chy , Chang Chin-Chun , Juang Jih-Gau , Liou Chyng-Hwa , Hsu Te-Hua , Huang Yii-Shing , Huang Cheng-Ting , Lin Chen-Chou , Peng Yan-Tsung , Huang Ren-Jie , Jhang Jia-Yao , Liao Yen-Hsiang , Lin Chin-Yang 
Published: September 2021

Abstract
Purpose
This paper presents our team’s results to establish an AIoT smart cage culture management system.

Methods
According to the built system, the farmed field information is transmitted to the data platform of Ocean Cloud, and all collected data and analysis results can be applied to the cage culture field after the bigdata analysis.

Results
This management system successfully integrates AI and IoT technologies and is applied in cage culture. Using underwater biological analysis images and AI feeding as examples, this paper explains how the system integrates AI and IoT into a feasible framework that can constantly acquire information about the health status of fish, survival rate of fish, as well as the feed residuals.

Conclusion
The results of our research enable the aquaculture operators or owners to efficiently reduce the feed residual, monitor the growth of fish, and increase fish survival rate, thereby increasing the feed conversion rate.
Understanding the growth of the Fediverse through the lens of Mastodon
Authors: La Cava Lucio , Greco Sergio , Tagarelli Andrea 
Published: September 2021

AbstractOpen-source, Decentralized Online Social Networks (DOSNs) are emerging as alternatives to the popular yet centralized and profit-driven platforms like Facebook or Twitter. In DOSNs, users can set up their own server, or instance, while they can actually interact with users of other instances. Moreover, by adopting the same communication protocol, DOSNs become part of a massive social network, namely theFediverse. Mastodon is the most relevant platform in the Fediverse to date, and also the one that has attracted attention from the research community. Existing studies are however limited to an analysis of a relatively outdated sample of Mastodon focusing on few aspects at a user level, while several open questions have not been answered yet, especially at the instance level. In this work, we aim at pushing forward our understanding of the Fediverse by leveraging the primary role of Mastodon therein. Our first contribution is the building of an up-to-date and highly representative dataset of Mastodon. Upon this new data, we have defined a network model over Mastodon instances and exploited it to investigate three major aspects: the structural features of the Mastodon network of instances from a macroscopic as well as a mesoscopic perspective, to unveil the distinguishing traits of the underlying federative mechanism; the backbone of the network, to discover the essential interrelations between the instances; and the growth of Mastodon, to understand how the shape of the instance network has evolved during the last few years, also when broading the scope to account for instances belonging to other platforms. Our extensive analysis of the above aspects has provided a number of findings that reveal distinguishing features of Mastodon and that can be used as a starting point for the discovery of all the DOSN Fediverse.
The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match
Authors: Fishkind Donniell E. , Parker Felix , Sawczuk Hamilton , Meng Lingyao , Bridgeford Eric , Athreya Avanti , Priebe Carey , Lyzinski Vince 
Published: August 2021

AbstractThe alignment strength of a graph matching is a quantity that gives the practitioner a measure of the correlation of the two graphs, and it can also give the practitioner a sense for whether the graph matching algorithm found the true matching. Unfortunately, when a graph matching algorithm fails to find the truth because of weak signal, there may be “phantom alignment strength” from meaningless matchings that, by random noise, have fewer disagreements than average (sometimes substantially fewer); this alignment strength may give the misleading appearance of significance. A practitioner needs to know what level of alignment strength may be phantom alignment strength and what level indicates that the graph matching algorithm obtained the true matching and is a meaningful measure of the graph correlation. The Phantom Alignment Strength Conjecture introduced here provides a principled and practical means to approach this issue. We provide empirical evidence for the conjecture, and explore its consequences.
Structure evolution of suspensions under time-dependent electric or magnetic field
Authors: Manikas Konstantinos , Hütter Markus , Anderson Patrick D. 
Published: August 2021

AbstractThe effect of time-dependent external fields on the structures formed by particles with induced dipoles dispersed in a viscous fluid is investigated by means of Brownian Dynamics simulations. The physical effects accounted for are thermal fluctuations, dipole-dipole and excluded volume interactions. The emerging structures are characterised in terms of particle clusters (orientation, size, anisotropy and percolation) and network structure. The strength of the external field is increased in one direction and then kept constant for a certain amount of time, with the structure formation being influenced by the slope of the field-strength increase. This effect can be partially rationalized by inhomogeneous time re-scaling with respect to the field strength, however, the presence of thermal fluctuations makes the scaling at low field strength inappropriate. After the re-scaling, one can observe that the lower the slope of the field increase, the more network-like and the thicker the structure is. In the second part of the study the field is also rotated instantaneously by a certain angle, and the effect of this transition on the structure is studied. For small rotation angles ($$\theta \le 20^{{\circ }}$$

θ
≤

20
∘

) the clusters rotate but stay largely intact, while for large rotation angles ($$\theta \ge 80^{{\circ }}$$

θ
≥

80
∘

) the structure disintegrates and then reforms, due to the nature of the interactions (parallel dipoles with perpendicular inter-particle vector repel each other). For intermediate angles ($$20<\theta <80^{{\circ }}$$

20
<
θ
<

80
∘

), it seems that, during rotation, the structure is altered towards a more network-like state, as a result of cluster fusion (larger clusters). The details provided in this paper concern an electric field, however, all results can be projected into the case of a magnetic field and paramagnetic particles.
Scaling of an Aviation Hydrogen Micromix Injector Design for Industrial GT Combustion Applications
Authors: Berger Johannes 
Published: August 2021

AbstractDecarbonising the energy grid through renewable energy requires a grid firming technology to harmonize supply and demand. Hydrogen-fired gas turbine power plants offer a closed loop by burning green hydrogen produced with excess power from renewable energy. Conventional dry low NOx (DLN) combustors have been optimized for strict emission limits. A higher flame temperature of hydrogen drives higher NOx emissions and faster flame speed alters the combustion behavior significantly. Micromix combustion offers potential for low NOx emissions and optimized conditions for hydrogen combustion. Many small channels, so-called airgates, accelerate the airflow followed by a jet-in-crossflow injection of hydrogen. This leads to short-diffusion flames following the principle of maximized mixing intensity and minimized mixing scales. This paper shows the challenges and the potential of an economical micromix application for an aero-derivative industrial gas turbine with a high-pressure ratio. A technology transfer based on the micromix combustion research in the ENABLEH2 project is carried out. The driving parameter for ground use adaption is an increased fuel orifice diameter from 0.3 mm to 1.0 mm to reduce cost and complexity. Increasing the fuel supply mass flow leads to larger flames and higher emissions. The impact was studied through RANS simulation and trends for key design parameters were shown. Increased velocity in the airgates leads to a higher pressure drop and reduced emissions through faster mixing. Altering the penetration depth shows potential for emission reduction without compromising on pressure loss. Two improved designs are found, and their performance is discussed.
Pediatric vascular reconstruction after trauma and malignancy; a single centere case series
Authors: Baram Aram , Ahmad Bnar Jalal , Izac Ashur Y. , Falah Fitoon , Sherzad Hiwa 
Published: September 2021

ABSTRACT

Background:
Pediatric vascular reconstructions (PVRs) are rare and technically difficult operations. The combination of a technically difficult condition, with little established protocol and potentially devastating outcomes makes PVRs an important issue.

Patients and methods:
Retrospective analysis of a prospectively collected data, in a single tertiary academic centere.From January 2010 to January 2020, all children who had arterial reconstructions for trauma and malignancy are included.

Results:
The vascular injury patients were 34 and the tumor group were 8 (total = 42). Twenty patients repaired by end to end anastomosis, 12 patients repaired by using ipsilateral great saphenous vein graft used, 4 patients repaired by lateral arteriorrhaphy, 3 patients only fasciotomy, one patient ligation of the artery and one patient nephrectomy and lateral repair of IVC, one patient only application of papaverine. Early postoperative period showed that 34 patients had positive distal pulses and 8 had negative distal pulses. Long-term follow-up showed that 35 patients (83.3%) had no significant complications, normal growth and no discrepancy in length

Conclusions:
Early and in-time PVR could save life and leads normal limb growth and preventing permanent handicap. Vascular reconstruction malignancy may enhance long-term survival.

Highlights
A pitfall in the diagnosis of acute abdomen causing by mesenteric lipoma
Authors: Mouna Cherif , Dhafer Hadded , Meryam Mesbahi , khedhiri Nizar , Benzarti Yazid , Anis Ben Maamer 
Published: August 2021

ABSTRACT

Introduction:
Mesenteric lipoma is an uncommon disease, infrequently reported in the literature.

Presentation of case:
We present the clinical data and imaging findings of a symptomatic case with mesenteric lipoma causing acute abdominal symptoms. On CT scan the lesion was imaged as a mass of Lipomatous appearance in connection with the mesentery, with fat infiltration and a medium-abundance effusion. Exploratory laparotomy revealed a 4 cm necrotic and pedunculated mass, in the mesentery of the ileum, with a spiral turn around its axis. Resection of the affected segment of the ileum and end to end ileal anastomosis were carried out. Anatomopathological examination confirmed the mesenteric lipoma. The post-operative outcome was uneventful.

Discussion:
Mesenteric lipoma is an uncommon tumor that can be asymptomatic or complicated by obstruction or volvulus leading to acute abdomen. Its diagnosis is challenging and is rarely made pre operatively.

Conclusion:
Mesenteric lipoma should always be considered as a differential diagnosis in a patient with recurrent features of abdominal symptoms and a mobile abdominal mass.

Highlights
Observations of the creep of polar firn
Authors: Li Yuan , Baker Ian 
Published: September 2021

AbstractConstant-load creep tests were performed at −10°C at various compressive stresses from 0.05 to 0.75 MPa on specimens taken every 10 m along a firn core extracted at Summit, Greenland in June 2017. The microstructures before and after creep testing were examined using both X-ray microtomography (micro-CT) and optical images from thin sections. An Andrade-like equation was used to describe the primary creep behavior and yielded the time exponentkof 0.17–0.76. The onset of secondary creep occurred at strains of ~0.5–3% but was sometimes not observed at all in shallow firn specimens and at stresses ⩽0.43 MPa even for strain up to 32%. For the 50–80 m firn crept at stresses ⩾0.55 MPa, secondary creep occurred at strains of 2.6 ± 0.28%, and the stress exponent,n, in Glen's law, was found to range from 4.1 to 4.6, similar to those observed for fully dense ice. Micro-CT observations of crept specimens showed that in most cases, the specific surface area, the total porosity and the structure model index decreased, while the structure thickness increased with increasing density. These microstructural characteristics are consistent with the densification of the firn. Optical images from thin sections showed that recrystallization occurred in some specimens that had undergone secondary creep.
Effect of resveratrol administration on ovarian morphology, determined by transvaginal ultrasound for the women with polycystic ovary syndrome (PCOS)
Authors: Hashemi Taheri Amir Pejman , Moradi Behnaz , Radmard Amir Reza , Sanginabadi Milad , Qorbani Mostafa , Mohajeri-Tehrani Mohammad Reza , Shirzad Nooshin , Hosseini Saeed , Hekmatdoost Azita , Asadi Sedigheh , Samadi Majid , Mansour Asieh 
Published: September 2021

AbstractIntake of resveratrol has been associated with improved ovarian morphology under in vitro and in the animal models; however, this finding has not been confirmed in trials. The aim of our study was, therefore, to use a placebo-controlled approach with the detailed assessment of the ovarian morphology by applying transvaginal ultrasound to examine the effectiveness of this therapeutic approach in this group of women. The mean age of all participants was 28·61 (sd 4·99) years, with the mean BMI of 28·26 (sd 5·62) kg/m2. Resveratrol therapy, as compared with placebo, was associated with a significantly higher rate of improvement in the ovarian morphology (P = 0·02). Women who received resveratrol had a more dominant follicle than those getting placebo, with a significant reduction in the ovarian volume (P < 0·05). However, the number of follicle count per ovary (FNPO), stromal area (SA), ovarian echogenicity and distribution of follicles were not significantly altered (P > 0·05). Forty-one women with polycystic ovary syndrome (PCOS) were randomly assigned (1:1) to 3 months of daily 1000 mg resveratrol or placebo. Random assignment was done by blocked randomisation. Our primary endpoints were the change in the ovarian volume, SA and antral FNPO from the baseline to 3 months. Secondary endpoints were improvement in the distribution of follicles and ovarian echogenicity. Differences between the resveratrol and control groups were evaluated by Chi-square, Fisher’s exact test and repeated-measures ANOVA. Treatment with resveratrol significantly reduced the ovarian volume and polycystic ovarian morphology, thus suggesting a disease-modifying effect in PCOS.
Cardiometabolic traits mediated the relationship from early life famine exposure to adulthood nonalcoholic fatty liver disease risk
Authors: Han Xu , Wang Jing , Li Yaru , Hu Dongsheng , He Meian 
Published: September 2021

AbstractEarly life exposure to famine was associated with adulthood metabolic syndrome and nonalcoholic fatty liver disease (NAFLD), and NAFLD was also affected by cardiometabolic traits. However, the role of cardiometabolic traits in the associations from famine exposure to NAFLD was largely unknown. This study aimed to investigate whether the relationship between early life famine exposure and adulthood NAFLD risk was mediated by cardiometabolic traits. Overall, 7578 subjects aged 56·0 (sd 3·7) years in the Dongfeng–Tongji cohort were included and classified into late-exposed (1952–1954), middle-exposed (1954–1956), early-childhood-exposed (1956–1958), fetal-exposed (1959–1961) and non-exposed (1962–1966, reference) group according to the birth year. NAFLD was diagnosed by experienced physicians via abdominal B-type ultrasound inspection. Mediation analysis was used to evaluate the mediating effects of cardiometabolic traits. Compared with those non-exposed, after multivariable adjustment, participants in fetal-exposed group (OR: 1·37; 95 % CI 1·08, 1·73) had 37 % higher risk to develop NAFLD, and the overall childhood-exposed group had marginally significant association with NAFLD (OR: 1·39; 95 % CI 0·99, 1·94). Stratification analysis found the famine–NAFLD associations more evident in women and those born in areas severely affected by famine. Mediation analysis showed that cardiometabolic traits such as total cholesterol, TAG glucose index, γ-glutamyl transpeptidase, alkaline phosphatase and alanine aminotransferase mediated 6·7–22·2 % of the relation from famine exposure to higher NAFLD risk. Early life exposure to famine was related to increased adulthood NAFLD risk, and this relationship was partly mediated by cardiometabolic traits.