bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of rice milling, washing, and cooking on reducing pesticide residues
Authors: Lee Hyesu , Cho Mihyun , Park Minsoo , Kim Myungheon , Seo Jung-A. , Kim Dong Hyun , Bae Subin , Kim Myeong Seok , Kim Jeong Ah , Lee Joon-Goo , Im Moo-Hyeog 
Published: June 2023

AbstractThe effects of milling, washing, and cooking on etofenprox, flubendiamide, and tebufenozide levels in brown and polished rice were investigated by HPLC using a UV detector. The reduction rates of etofenprox, flubendiamide, and tebufenozide after milling were 68.74–93.16%, 64.49–90.25%, and 69.74–92.58%, respectively, 11.64–41.44%, 31.36–65.37%, and 31.61–73.79%, respectively, after washing brown rice, and 30.85–82.08%, 52.13–83.05%, and 43.04–83.89%, respectively, after washing polished rice. The residue levels of the three pesticides in brown rice decreased after electric and pressure cooking by 56.49 and 54.41%, 75.80 and 73.42%, and 70.01 and 71.27%, respectively, and the corresponding levels in polished rice decreased after electric and pressure cooking by 85.58 and 85.82%, 86.70 and 87.06%, and 89.89 and 89.68%, respectively. In conclusion, various processing methods decrease the residual levels of etofenprox, flubendiamide, and tebufenozide in rice.
Multi-scale simulations of two dimensional material based devices: the NanoTCAD ViDES suite
Authors: Marian Damiano , Marin Enrique G. , Perucchini Marta , Iannaccone Giuseppe , Fiori Gianluca 
Published: June 2023

AbstractNanoTCAD ViDES (Versatile DEvice Simulator) is an open-source suite of computing codes aimed at assessing the operation and the performance of nanoelectronic devices. It has served the computational nanoelectronic community for almost two decades and it is freely available to researchers around the world in its website (http://vides.nanotcad.com), being employed in hundreds of works by many electronic device simulation groups worldwide. We revise the code structure and its main modules and we present the new features directed towards (i) multi-scale approaches exploiting ab-initio electron-structure calculations, aiming at the exploitation of new physics in electronic devices, (ii) the inclusion of arbitrary heterostructures of layered materials to devise original device architectures and operation, and (iii) the exploration of novel low-cost, green technologies in the mesoscopic scale, as, e.g. printed electronics.
Hybrid Work: Herausforderungen an das Change Management in Unternehmen
Authors: Hardwig Thomas , Boos Margarete 
Published: June 2023

ZusammenfassungHybrid Work als nicht zuletzt durch die COVID-Pandemie angestoßene Veränderung der Arbeitssituation vieler Beschäftigter – vor allem in wissensintensiven Berufen – fordert das Change Management von Organisationen heraus. Dieser Beitrag in der Zeitschrift „Gruppe. Interaktion. Organisation. (GIO)“ beschreibt drei Herausforderungen, denen sich Organisationen beim Übergang zu Hybrid Work stellen müssen: (1) Teameffektivität, (2) Teamzusammenhalt und organisationales Commitment, (3) räumliche und technische Infrastrukturen. Lösungsansätze für ein partizipatives Change Management im Hinblick auf eine humanorientierte Arbeitsgestaltung werden vorgestellt.
Cell Therapy for Androgenetic Alopecia: Elixir or Trick?
Authors: Mao Yongcui , Liu Pinyan , Wei Jiayun , Xie Ye , Zheng Qiuxia , Li Rui , Yao Jia 
Published: June 2023

AbstractAndrogenetic alopecia is the most common cause of hair loss aggravated by increased life pressure, tension, and anxiety. Although androgenetic alopecia (AGA) does not significantly effect physical health, it can have serious negative impact on the mental health and quality of life of the patient. Currently, the effect of medical treatment for AGA is not idealistic, stem cell-based regenerative medicine has shown potential for hair regrowth and follicle repair, but the long-term effect and mechanism of stem cell therapy is not quite explicit. In this review, we summarize the methods, efficacy, mechanism, and clinical progress of stem cell therapies for AGA by now, hope it will present a more comprehensive view in this topic.
Graphical Abstract
SDH mutations, as potential predictor of chemotherapy prognosis in small cell lung cancer patients
Authors: Zeng Ran , Fan Xiaoyun , Yang Jin , Fang Chen , Li Jieyi , Wen Wei , Liu Jing , Lv Mengchen , Feng Xiangran , Zhao XiaoKai , Yu Hongjie , Zhang Yuhuan , Sun Xianwen , Bao Zhiyao , Zhou Jun , Ni Lei , Wang Xiaofei , Cheng Qijian , Gao Beili , Gong Ziying , Zhang Daoyun , Dong Yuchao , Xiang Yi 
Published: June 2023

Abstract
Purpose
Small cell lung cancer (SCLC) is an aggressive and rapidly progressive malignant tumor characterized by a poor prognosis. Chemotherapy remains the primary treatment in clinical practice; however, reliable biomarkers for predicting chemotherapy outcomes are scarce.

Methods
In this study, 78 SCLC patients were stratified into “good” or “poor” prognosis cohorts based on their overall survival (OS) following surgery and chemotherapeutic treatment. Next-generation sequencing was employed to analyze the mutation status of 315 tumorigenesis-associated genes in tumor tissues obtained from the patients. The random forest (RF) method, validated by the support vector machine (SVM), was utilized to identify single nucleotide mutations (SNVs) with predictive power. To verify the prognosis effect of SNVs, samples from the cbioportal database were utilized.

Results
The SVM and RF methods confirmed that 20 genes positively contributed to prognosis prediction, displaying an area under the validation curve with a value of 0.89. In the corresponding OS analysis, all patients with SDH, STAT3 and PDCD1LG2 mutations were in the poor prognosis cohort (15/15, 100%). Analysis of public databases further confirms that SDH mutations are significantly associated with worse OS.

Conclusion
Our results provide a potential stratification of chemotherapy prognosis in SCLC patients, and have certain guiding significance for subsequent precise targeted therapy.
Low-cycle fatigue behavior of differently matched welded joints of quenched and tempered steel
Authors: Gáspár M. , Dobosy Á. , Meilinger Á. , Nagy Gy. 
Published: June 2023

AbstractThe appropriate matching of base and filler material is a complex task, where yield strength matching is the most general aspect. As the strength properties of structural steels have significantly improved in the past decades, the matching problem has become more relevant today. The mismatch phenomenon significantly affects the behavior of welded joints under dynamic and cyclic loading. Among cyclic loading, low-cycle fatigue (LCF) often occurs in welded steel constructions; furthermore, the LCF resistance of these advanced steels and their welded joints is limitedly known. In this paper, welding experiments are presented for the analysis of the LCF behavior of differently matched butt-welded joints made from two grades of quenched and tempered (Q + T) high-strength steels. For S690QL steel, matched and overmatched consumables were applied, while for S960QL steel, matched and undermatched filler materials were used. Material tests were performed to determine the mechanical properties of the different welded joints. In both examined steel grades, the welded joints tolerated a smaller number of cycles until failure than the base materials. In the case of S690QL, the LCF resistance of the matched welded joints was higher than the overmatched filler material. At S960QL in the higher strain amplitude range, the number of cycles to failure was higher at the same total and plastic strain amplitudes when undermatched filler material was used; however, an opposite ratio can be observed at lower strain values, compared to the matching filler material.
A novel fractional-order flocking algorithm for large-scale UAV swarms
Authors: Chen Haotian , He Ming , Liu Jintao , Xu Peng , Cao Xianghui , Han Wei , Yuan Guodong 
Published: June 2023

AbstractThe rate of convergence is a vital factor in determining the outcome of the mission execution of unmanned aerial vehicle (UAV) swarms. However, the difficulty of developing a rapid convergence strategy increases dramatically with the growth of swarm scale. In the present work, a novel fractional-order flocking algorithm (FOFA) is proposed for large-scale UAV swarms. First, based on the interaction rules of repulsion, attraction and alignment among swarm individuals, fractional calculus is introduced to replace traditional integer-order velocity updating, which enables UAVs to utilize historical information during flight. Subsequently, the convergence of the algorithm is theoretically analyzed. Some sufficient convergence conditions for the FOFA are presented by exploiting graph theory. Finally, the simulation results validate that our proposed FOFA performs much better than traditional flocking algorithms in terms of convergence rate. Meanwhile, the relationships between the fractional order of the FOFA and the convergence time of the UAV swarm are discussed. We find that under certain conditions, the fractional order is strongly correlated with the convergence rate of the UAV swarm; that is, a small fractional order (more consideration of historical information) leads to better performance. Moreover, the fractional order can be used as an important parameter to control the convergence rate of a large-scale UAV swarm.
Multi-task evolutionary optimization of multi-echelon location routing problems via a hierarchical fuzzy graph
Authors: Yan Xueming , Jin Yaochu , Ke Xiaohua , Hao Zhifeng 
Published: June 2023

AbstractMulti-echelon location-routing problems (ME-LRPs) deal with determining the location of facilities and the routes of vehicles on multi-echelon routing tasks. Since the assignment relationship in multi-echelon routing tasks is uncertain and varying, ME-LRPs are very challenging to solve, especially when the number of the echelons increases. In this study, the ME-LRP is formulated as a hierarchical fuzzy graph, in which high-order fuzzy sets are constructed to represent the uncertain assignment relationship as different routing tasks and cross-task operators are used for routing task selection. Then, an evolutionary multi-tasking optimization algorithm is designed to simultaneously solve the multiple routing tasks. To alleviate negative transfer between the different routing tasks, multi-echelon assignment information is considered together with associated routing task selection in multi-tasking evolution optimization. The experimental results on multi-echelon routing benchmark problems demonstrate the competitiveness of the proposed method.
A pairwise ranking estimation model for surrogate-assisted evolutionary algorithms
Authors: Harada Tomohiro 
Published: June 2023

AbstractSurrogate-assisted evolutionary algorithms (SAEAs) have attracted considerable attention for reducing the computation time required by an EA on computationally expensive optimization problems. In such algorithms, a surrogate model estimates the solution evaluation with a low computing cost and is used to obtain promising solutions to which the accurate evaluation with an expensive computation cost is then applied. This study proposes a novel pairwise ranking surrogate model called the Extreme Learning-machine-based DirectRanker (ELDR). ELDR integrates two machine learning models: extreme learning machine (ELM) and DirectRanker (DR). ELM is a single-layer neural network capable of fast learning, whereas DR uses pairwise learning to rank using a neural network developed mainly for information retrieval. To investigate the effectiveness of the proposed surrogate model, this study first examined the estimation accuracy of ELDR. Subsequently, ELDR was incorporated into a state-of-the-art SAEA and compared with existing SAEAs on well-known real-valued optimization benchmark problems. The experimental results revealed that ELDR has a high estimation accuracy even on high-dimensional problems with a small amount of training data. In addition, the SAEA using ELDR exhibited a high search performance compared with other existing SAEAs, especially on high-dimensional problems.
Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability
Authors: S. S. Júnior Jorge , Mendes Jérôme , Souza Francisco , Premebida Cristiano 
Published: June 2023

AbstractDeep learning (DL) has captured the attention of the community with an increasing number of recent papers in regression applications, including surveys and reviews. Despite the efficiency and good accuracy in systems with high-dimensional data, many DL methodologies have complex structures that are not readily transparent to human users. Accessing the interpretability of these models is an essential factor for addressing problems in sensitive areas such as cyber-security systems, medical, financial surveillance, and industrial processes. Fuzzy logic systems (FLS) are inherently interpretable models capable of using nonlinear representations for complex systems through linguistic terms with membership degrees mimicking human thought. This paper aims to investigate the state-of-the-art of existing deep fuzzy systems (DFS) for regression, i.e., methods that combine DL and FLS with the aim of achieving good accuracy and good interpretability. Within the concept of explainable artificial intelligence (XAI), it is essential to contemplate interpretability in the development of intelligent models and not only seek to promote explanations after learning (post hoc methods), which is currently well established in the literature. Therefore, this work presents DFS for regression applications as the leading point of discussion of this topic that is not sufficiently explored in the literature and thus deserves a comprehensive survey.
Hydrologic modeling of the Aliakmon River in Greece using HEC–HMS and open data
Authors: Frysali Dimitra , Mallios Zisis , Theodossiou Nicolaos 
Published: June 2023

AbstractIn recent years, the sharp increase in demand for fresh water and climate change, especially in the Mediterranean region, have increased the need for effective tools that can provide management alternatives enabling the more efficient use of available water resources. Hydrologic models which simulate the rainfall–runoff process are crucial for the formulation of such management tools and can be used to evaluate the performance of systems and, therefore, to formulate alternative management strategies that can lead to more efficient performance. In this paper, an attempt is made to form a hydrologic model with the aim of using it as a basis for the formulation of management tools for the Aliakmon River in Greece. This model could be useful for formulating sustainable production and consumption patterns related to the use of Aliakmon River water. The model is built in HEC–HMS using data that are freely available online. The results indicate that the model shows excellent performance in terms of simulating the changes that occur in the flow regime of the studied river, and can therefore can be used as a basis for the formulation of management tools for the reservoirs present on the river, energy production, water supply, as well as flood forecasting.
Writing on the world beyond the page: medieval inscriptions as facta and ficta
Authors: Kumler Aden 
Published: June 2023

AbstractFrom the twelfth to the fifteenth centuries texts proliferated upon the surfaces of objects, monuments and architecture, ensuring that medieval people lived with texts, even if they never turned a page. Examining a series of inscribed objects, monuments, and buildings, this article focuses upon three constitutive features of this large-scale dynamic: epigraphic prosopopoeia, the use and effects of deixis in medieval inscriptions, and the device of the banderole. It concludes by examining the twelfth-century Bridekirk baptismal font: an epigraphic monument in which all three devices are skillfully deployed, to remarkably self-reflexive ends. The article aims to show how the design of epigraphic texts added not only new textual-material facts to the world, but also textual-visual ficta or fictions.
Religion and secularity as supersessionist categories
Authors: Svenungsson Jayne 
Published: June 2023

AbstractThis article argues that the Christian ambivalence towards the Jews throughout history lies at the heart of the difficulties liberal societies are having today in accommodating religious diversity, but also more broadly, in discussing issues pertaining to religion and secularity in a nuanced way. After a brief summary of the characteristics of Christian supersessionism, the article first explores the modern concept of religion as a product of Protestant Christianity and thus as a category that inherently privileges a Christian perspective. Although the specific associations to Christians versus Jews have become less pronounced, the inherited dichotomies (archaic/enlightened, material/spiritual, particular/universal, etc.) live on and continue to shape attitudes towards what is perceived as more and less desirable forms of religion in contemporary Western societies – as mirrored in the widespread political rhetoric claiming that Islam is not ‘compatible’ with Western culture. However, to understand the full dimensions of the mechanisms guiding the public discourse on religion post-9/11, it is important also to recognize the extent to which not only the modern concept of religion but also of secularity is based on a supersessionary logic. Hence the second part of the article explores how the religious and the secular today jointly serve to uphold a hierarchical cultural order, where certain practices and values gain the upper hand by being associated with terms such as ‘rational’, ‘progressive’ or ‘Human Rights’, while other practices and values are framed as incompatible with these terms.
Hyperlipidämie und Osteoporose
Authors: Leutner Michael 
Published: June 2023

ZusammenfassungDie aktuelle Datenlage zeigt auf, dass es einen Zusammenhang zwischen Hyperlipidämien und dem Knochenstoffwechsel gibt. Dieser Zusammenhang scheint auch abhängig von den Konzentrationen der Lipidparameter zu sein. Klare Evidenz dafür, dass Statine einen osteoprotektiven Effekt auf den Knochenstoffwechsel haben, gibt es bisher nicht. Rezente Entwicklungen zeigen, dass es hier dosisabhängige Zusammenhänge von verschieden potenten Statinen mit dem Knochenstoffwechsel geben könnte. Insgesamt gilt es zu untersuchen, ob der Zusammenhang von Hyperlipidämien mit dem Knochenstoffwechsel durch direkte Statineffekte und/oder durch die Konzentrationen der verschiedenen Lipidparameter gesteuert wird.
This tree is on fire: a review on the ecology of Erwinia amylovora, the causal agent of fire blight disease
Authors: Pedroncelli Anna , Puopolo Gerardo 
Published: June 2023

AbstractFire blight represents a great threat to apple and pear production worldwide. The ability of its causal agent, Erwinia amylovora, to spread rapidly in the host plants makes this devastating disease difficult to manage. Copper and antibiotics are still the most effective solutions to control fire blight, although their application contribute to environmental pollution and to the development of E. amylovora resistant populations. Thus, there is an urgent need to find new alternatives to such plant protection products. In this review, we summarized what is known on E. amylovora biology, as the knowledge of the plant pathogen biology is essential to develop eco-friendly management strategies. Notably, the presence of E. amylovora alone does not necessarily result in the disease development as it is the final outcome of multiple interactions established between E. amylovora cells, flower microbiota, plant host, insect vectors and environment. For instance, specific humidity and temperature create the suitable conditions for E. amylovora to grow and reach the specific cell density needed for plant infection. Once fire blight develops, insects act as potential vectors of E. amylovora, playing a role in the dispersal of the disease. The host plant represents an important factor as its susceptibility varies among the species belonging to the Rosaceae family. Recent studies showed apple flower microbiota might promote or hinder the infection progress, thus representing a possible source of new biocontrol agents effective in controlling E. amylovora.
Determining the (A)symmetric Role of Business–Consumer Confidence in Outward–Inward Tourism in Russia: A Competitiveness Perspective
Authors: Alola Uju Violet , Baeva Darya , Alola Andrew Adewale 
Published: June 2023

AbstractTourism activities in Russia, prior to the coronavirus pandemic and the Ukraine–Russia conflict, reportedly recorded a desirable boost, thus prompting the formulation of the country’s new Tourism Development Strategy for 2035. Considering this observation, the current study examines the determinants of the Russia’s inbound and outbound tourism, but especially from the perspective of linear and nonlinearity role of market—business and consumer—confidence over the quarterly period 2010Q1–2020Q4. The result shows that negative and positive shock in business confidence and consumer price index positively affects international arrivals to Russia in the short and long run, but with a negative shock in business confidence showing a larger effect. A shock (irrespective of the direction) in the consumer leading indicator leads to decline in international arrivals in the short and long run. We also found that a shock (mostly negative) in the consumer confidence reduces the numbers of Russian travellers to foreign tourist destinations in the short- and long-term period. However, a negative shock in business confidence encourages Russians to embark on touristic visit to destinations, while there is no significant effect arising from the shock in the consumer price index. Moreover, for symmetric evidence, there is a significant two-way Granger causality from BCI to outbound tourism, and from CLI to outbound tourism especially in the medium term, while a one-way causality exists from CPI to outbound tourism in the short and medium term.