bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of mitogenomes of three Petalocephala species (Hemiptera: Cicadellidae: Ledrinae) and their phylogenetic analysis
Authors: Wang Xian‐Yi , Li De‐Fang , Li Hu , Wang Jia‐Jia , Li Yu‐Jian , Dai Ren‐Huai 
Published: April 2022

AbstractLedrinae is a unique group of leafhoppers with a distinct appearance. Petalocephala is the largest Ledrinae genus that is difficult to identify except by dissecting the male genitals. To date, research on Ledrinae is relatively less compared with other leafhoppers. Therefore, to better understand this group, we sequenced and analyzed three complete Petalocephala mitochondrial genomes. We comparatively analyzed these general Petalocephala genomic features (including size, AT content, AT/GC skew, 13 protein‐coding gene nucleotide compositions, etc.), and predicted 22 transfer RNA secondary structures. We obtained highly consistent phylogenetic results within Cicadellidae based on mitogenomic data using the maximum likelihood and Bayesian methods. Our results showed that all subfamilies were monophyletic and had a high node support rate, and there was a sister group relationship between Ledrinae and all other leafhopper groups. Furthermore, treehoppers were found to originate from leafhoppers and showed sister group relationships with Megophthalminae. Within Ledrinae, all phylogenetic trees supporting phylogenetic relationships were as follows: ([P. dicondylica + P. gongshanensis] + [Tituria pyramidata + [Ledra auditura + P. gongshanensis]]) Based on the complete mitogenome phylogenetic analysis and the comparison of morphological characteristics, we propose that Petalocephala is not monophyletic.
Protonation‐Induced Antiaromaticity in Octaaza[8]circulenes: Cyclooctatetraene Scaffolds Constrained with Four Amidine Moieties
Authors: Akahori Shuhei , Kaga Atsushi , Kim Jinseok , Yorimitsu Hideki , Kim Dongho , Shinokubo Hiroshi , Miyake Yoshihiro 
Published: April 2022

AbstractThe switching of cyclic π‐conjugation pathways using external stimuli is an attractive research topic in the field of organic chemistry. Here, we synthesized C4h‐symmetric octaaza[8]circulenes with four peripherally arranged amidine moieties that exhibit enhanced antiaromaticity upon protonation. Titration experiments with methanesulfonic acid revealed the formation of the tetraprotonated forms of the octaaza[8]circulenes in solution. Single‐crystal X‐ray diffraction analyses and theoretical calculations indicated that the contribution of the 8π antiaromatic character of the octaaza[8]circulenes is enhanced by the delocalization of charge through the protonation of the pyridine rings.
Does green brand positioning translate into green purchase intention?: A mediation–moderation model
Authors: Mehraj Danish , Qureshi Ishtiaq Hussain 
Published: April 2022

AbstractThe purpose of this paper is to develop a comprehensive model and investigate the relationship between identified factors of green marketing strategies and green consumer behavior, such as green brand positioning (GBP), green brand knowledge (GBK), attitude toward green brands (ATGB), willingness to pay (WTP) a premium, and green purchase intention (GPI). A questionnaire survey was deployed to collect data from the young consumers, from 600 students studying at nine state universities of India by employing stratified random sampling method. The results of the study suggest that a firm's green marketing strategies had an impact on green consumer behavior. The study found that GBP and GBK affect consumers green brand attitudes separately. Similarly, consumers green brand attitudes influence GPI. Meanwhile, WTP premium significantly moderates relationship between attitude toward green brand and GPI. The findings of this study suggest that marketing managers should consider a firm's GBP strategy as an important component in developing promotional messages that generate positive customer responses to the firm's green initiatives. A well‐implemented GBP strategy can lead to a more favorable GBK among consumers. As a result, it would assist in the development and promotion of green brands for businesses.
Analyzing the drivers of smart sustainable circular supply chain for sustainable development goals through stakeholder theory
Authors: Kayikci Yasanur , Kazancoglu Yigit , Gozacan‐Chase Nazlican , Lafci Cisem 
Published: April 2022

AbstractThe concept of sustainable development is becoming incomprehensible and complex in global supply networks, especially in low‐ and middle‐income countries (LMIC) that are most affected by ever‐changing industry challenges and standards. Smart technologies emerged by Industry 4.0, sustainability, and circular economy (CE) connection, which remain unexplored, can be integrated into the supply chain as a business strategy to increase collaboration and cooperation between different tiers of the supply chain to achieve sustainable development goals (SDGs) according to LMIC. Therefore, the main objective of this paper is to discover the drivers of a smart sustainable circular supply chain (SSCSC) in achieving the SDGs in LMIC through stakeholder theory. First, a systematic review is employed to identify the drivers of the SSCSC to achieve the SDGs in the LMIC incorporating existing literature on the subject. Second, the Best‐Worst Method (BWM) is applied to analyze the identified drivers, and then the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to analyze the SDGs. The applicability of the solution methodology was illustrated by providing a numerical example. The results of the study are twofold: firstly, drivers are analyzed by implementation of BWM. The results of the BWM reveal that economic sustainability is the best key driver among the eight driversin achieving the SDGs, meaning that without financial assistance and support achieving the SDGs becomes ineffective. Secondly, the TOPSIS analysis reveals that SDG 16 (peace, justice, and strong institutions) is the SDG most supported by drivers.
The influence of changes in clinical factors on high‐security forensic custody dispositions
Authors: Hilton N. Zoe , Ham Elke , Kim Soyeon 
Published: April 2022

AbstractThe demand for forensic psychiatric beds is increasing, while many individuals are “stuck” in the system. Index offense severity and other legal considerations are associated with longer forensic stays but factors amenable to change such as symptoms of mental illness and aggression may also influence forensic decisions. We examined forensic review board decisions over time among 89 men admitted to a high‐security forensic hospital. Almost half received a disposition to remain at their first hearing. Overall, dispositions were not associated with violence risk. The odds of a disposition to remain were higher for men with more in‐hospital assaults and higher scores on a measure of clinical factors. Dispositions changed over time and this change was sensitive to clinical factors. We conclude that decisions were consistent with a cascading system of loosening security over time. Further longitudinal research following large samples through the forensic system is recommended.
Multienzyme Biocatalytic Cascade Systems in Porous Organic Frameworks for Biosensing
Authors: Gao Rui , Zhong Ningyi , Huang Siming , Li Shuocong , Chen Guosheng , Ouyang Gangfeng 
Published: April 2022

AbstractMultienzyme biocatalytic cascade systems (MBCS) have attracted widespread research in the field of biosensing due to selective substrate transformations and signal amplification function. However, the poor stability of enzymes significantly restricts their effectiveness in practical applications. The spatial organization of MBCS within porous organic frameworks (POFs), such as metal–organic frameworks, covalent organic frameworks, and hydrogen‐bonded organic frameworks, is regarded as a promising strategy to overcome these challenges. This advanced biotechnology sets up a POFs microenvironment for enzymes immobilization, and thus make it possible to shield the enzyme from the external stimulus by POFs‐guided structural confinement. Simultaneously, the tailorable porous structure of POFs shell allows for the selective transport of substrates into interior enzymes, thereby accelerating the sensing process. Herein, we present the concept of this POFs‐confined MBCS, wherein enzymes were completely encapsulated into, rather than adsorption onto, the POFs. We highlight the new strategies for MBCS spatial organization through rational POFs support, and describe how this new bio‐nanosystem that integrates framework and enzymes functions can be designed as a versatile biosensing platform. In addition, the challenges and outlooks are also discussed.
Size Effects of the Anions in the Ionothermal Synthesis of Carbon Nitride Materials
Authors: Burmeister David , Müller Johannes , Plaickner Julian , Kochovski Zdravko , List‐Kratochvil Emil J. W. , Bojdys Michael J. 
Published: April 2022

AbstractSemiconducting carbon nitride polymers are used in metal‐free photocatalysts and in opto‐electronic devices. Conventionally, they are obtained using thermal and ionothermal syntheses in inscrutable, closed systems and therefore, their condensation behavior is poorly understood. Here, the synthetic protocols and properties are compared for two types of carbon nitride materials – 2D layered poly(triazine imide) (PTI) and hydrogen‐bonded melem hydrate – obtained from three low‐melting salt eutectics taken from the systematic series of the alkali metal halides: LiCl/KCl, LiBr/KBr, and LiI/KI. The size of the anion plays a significant role in the formation process of the condensed carbon nitride polymers, and it suggests a strong templating effect. The smaller anions (chloride and bromide) become incorporated into triazine (C3N3)‐based PTI frameworks. The larger iodide does not stabilize the formation of a triazine‐based polymer, but instead it leads to the formation of the heptazine (C6N7)‐based hydrogen‐bonded melem hydrate as the main crystalline phase. Melem hydrate, obtained as single‐crystalline powders, was compared with PTI in photocatalytic hydrogen evolution from water and in an OLED device. Further, the emergence of each carbon nitride species from its corresponding salt eutectic was rationalized via density functional theory calculations. This study highlights the possibilities to further tailor the properties of eutectic salt melts for ionothermal synthesis of organic functional materials.
Toward an artificial intelligence‐assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response
Authors: Ahmadian Hossein , Mageswaran Prasath , Walter Benjamin A. , Blakaj Dukagjin M. , Bourekas Eric C. , Mendel Ehud , Marras William S. , Soghrati Soheil 
Published: April 2022

AbstractThis article presents an effort toward building an artificial intelligence (AI) assisted framework, coined ReconGAN, for creating a realistic digital twin of the human vertebra and predicting the risk of vertebral fracture (VF). ReconGAN consists of a deep convolutional generative adversarial network (DCGAN), image‐processing steps, and finite element (FE) based shape optimization to reconstruct the vertebra model. This DCGAN model is trained using a set of quantitative micro‐computed tomography (micro‐QCT) images of the trabecular bone obtained from cadaveric samples. The quality of synthetic trabecular models generated using DCGAN are verified by comparing a set of its statistical microstructural descriptors with those of the imaging data. The synthesized trabecular microstructure is then infused into the vertebra cortical shell extracted from the patient's diagnostic CT scans using an FE‐based shape optimization approach to achieve a smooth transition between trabecular to cortical regions. The final geometrical model of the vertebra is converted into a high‐fidelity FE model to simulate the VF response using a continuum damage model under compression and flexion loading conditions. A feasibility study is presented to demonstrate the applicability of digital twins generated using this AI‐assisted framework to predict the risk of VF in a cancer patient with spinal metastasis.
Analysis of automated guided vehicle use in health care by simulation: A case study in a university hospital
Authors: Demir Alparslan Serhat , Mumcu Ebru 
Published: April 2022

AbstractAutomated guided vehicles (AGV), which are frequently used to reduce the workload of employees in production systems, are now being used in service systems. AGV has been widely used in the field of healthcare and is well suited to transporting. This study aims to provide AGV is being used in different areas of healthcare today within the scope of Industry 4.0. In recent years, the use of AGV has started to increase to reduce the workload and contamination risk of healthcare workers. In this study, it was aimed that AGVs would distribute autonomous drugs by processing patient information such as age, drug type, frequency of use and so forth. The information obtained from the internal diseases department of a university hospital was transferred to a computer simulation environment and the current situation and the proposed situation were analyzed separately, and the results were compared. The statistically verified results show that an autonomous AGV that will process patient information and distribute drugs reduced the workload of nurses by 14% in approximately a month.
Metastatic hepatocellular carcinoma to the bone diagnosed by fine needle aspiration in a veteran population
Authors: Ramani Nisha S. , Green Linda K. 
Published: April 2022

AbstractBackgroundHepatocellular carcinoma (HCC) is one of the most common cancers worldwide and it may present initially with extrahepatic spread in 5%–15% cases. It most commonly metastasizes to lungs, lymph nodes and adrenal glands. Skeletal metastases from HCC are uncommon and carry a very poor prognosis.MethodsWe retrospectively reviewed all fine needle aspiration (FNA) specimens of metastatic HCC at our institution from January 1994 to March 2021 using the SNOMED search computer option. Relevant clinical information was obtained from the review of patient's electronic medical records.ResultsThere were 36 FNAs of metastatic HCC over a period of 27 years. Six patients (16.7%) were found to have skeletal metastases. All six patients were males with a median age of 59 years (54–71 years) and their lesions were osteolytic. The most common site of metastases was vertebra (3/50%). Most patients (67%) had bone metastases as an initial presentation, without prior history of HCC. The mean survival after the diagnosis of skeletal metastases was only 8 months.ConclusionDetection of extrahepatic HCC to bone is important to avoid any unwanted surgical intervention. In our patient population, the most common site of skeletal metastases from HCC was vertebra, therefore in FNAs of vertebral lytic masses, metastatic HCC should be considered. On FNA, extrahepatic metastases of HCC can mimic other poorly differentiated tumors. They behave in an aggressive fashion, resulting in a grim prognosis. Cytological substrates can be used for future molecular testing, if needed.
Malignant gastrointestinal neuroectodermal tumor presenting with small intestinal obstruction: A case report
Authors: Sasaki Makiko , Tanaka Mamoru , Asukai Koki , Koguchi Hiroki , Inoue Yusuke , Moriyama Mizuki , Tsukahara Tetsuo , Kawahara Takeo , Hayashi Eiji , Hattori Yukinori , Hasegawa Izumi , Kataoka Hiromi 
Published: April 2022

AbstractMalignant gastrointestinal neuroectodermal tumors (GNETs) are rare malignant mesenchymal neoplasms. To our knowledge, only 99 cases have been reported worldwide. The tumor has an aggressive malignancy, with a rapid progression. The histological features of GNET overlap with those of clear cell sarcoma, which contain Ewing sarcoma breakpoint region 1 mutation. GNETs lack melanocyte‐specific markers, while clear cell sarcoma exhibits melanocytic differentiation. Various symptoms have been reported previously, and the most reported lesion is in the small bowel. The patient was a 69‐year‐old man who presented with abdominal pain and vomiting. Computed tomography revealed a nodule in the small bowel, which induced small intestinal obstruction. Enteroscopic images revealed a submucosal tumor. Surgery was performed, and the patient was diagnosed with GNET. Only two patients whose primary lesions were in the small intestine, including the patient in this report, have undergone enteroscopy before surgery. This is a rare case of GNET in which a patient underwent enteroscopy before surgical treatment.
Application of solid‐phase extraction: High‐resolution mass spectrometry analysis strategy in the characterization and quantification of amide herbicides in aquatic products
Authors: Gao Lei , Wang Peng , Chen Zhongxiang , Hao Qirui , Bai Shuyan , Du Ningning , Li Chenhui , Huang Xiaoli , Qin Dongli 
Published: April 2022

AbstractIn this study, we developed a new method combining thin‐layer ultrasonic extraction, efficient SPE purification, ultra‐performance liquid chromatography separation, and high‐resolution mass spectrometry characterization for seven amide herbicides in fishery products. In sample preparation, to rapidly increase the contact area between the fish meat and the extractant, the fish meat was smeared on a glass slide. This process resulted in quickly reaching the extraction equilibrium and relatively high extraction efficiency. In data analysis, a strategy for characterization and qualitative analysis was constructed by analyzing the fragmentation of amide herbicides using product ion scans. Isomeric pretilachlor and butachlor were separated chromatographically, while the coeluting isomers, alachlor and acetochlor, could be separated by differences in the fragmentation of their selected precursor ions. This method overcame the challenge of poor dispersion in the extractant caused by the high viscosity of fish meat, and the challenge of separation and characterization for isomers. Compared with other methods, the extraction efficiency was improved and the amide herbicides in aquatic products was characterized and quantified rapidly and accurately. Moreover, the qualitative information was much greater and provided an additional strategy for analytes identification. This rapid and accurate method will benefit workers involved in monitoring fishery.
Effect of dietary probiotics supplementation on meat quality, volatile flavor compounds, muscle fiber characteristics, and antioxidant capacity in lambs
Authors: Liu Chang , Hou Yanru , Su Rina , Luo Yulong , Dou Lu , Yang Zhihao , Yao Duo , Wang Bohui , Zhao Lihua , Su Lin , Jin Ye 
Published: April 2022

AbstractThis study investigated the effects of probiotics on growth performance, meat quality, muscle fiber characteristics, volatile compounds, and antioxidant capacity in lambs. A total of 24 Sunit lambs were randomly allocated into two groups, each consisting of three replicates of four lambs. Throughout the experiment period, the lambs were fed with based diet (CON) and 10 g probiotics/d supplemented diet (PRO). Compared with the CON group, the number of lactic acid bacteria in fecal samples of PRO group was significantly increased (p < .05) and the coliforms were significantly decreased (p < .05). Dietary probiotics supplementation decreased pH24h, L*, and shear force (p < .05). The muscle fibers were switched from type IIB to type I, with a decrease in the mean cross‐sectional area (CSA) (p < .05) of longissimus thoracis (LT) muscle. Also, probiotics altered the composition of meat volatile flavor compounds, such as nonanal, undecanal, 1‐pentanol, 1‐hexanol, and 2,3‐octanedione. In addition, probiotics increased the total antioxidative capacity (T‐AOC) and catalase (CAT) activity of LT muscle, while it decreased superoxide dismutase (SOD) activity (p < .05). Overall, these results indicated that probiotics could be used as an effective feed additive by improving meat tenderness and flavor.
Effects of different antioxidants and their combinations on the oxidative stability of DHA algae oil and walnut oil
Authors: Pei Xue‐Chen , Yin Fa‐Wen , Zhong Xu , Liu Hui‐Lin , Song Liang , Zhao Guan‐Hua , Wang Yong‐Fu , Zhou Da‐Yong 
Published: April 2022

AbstractThrough monitoring Rancimat induction time (RIT), peroxide value (POV), and thiobarbituric acid‐reactive substances (TBARS) of docosahexaenoic acid (DHA) algae oil and walnut oil during accelerated storage, the effects of the single and the combinations of seven kinds of antioxidants involving ascorbyl palmitate (AP), phytic acid (PA), vitamin E (VE), antioxidant of bamboo leaves (AOB), rosemary extract, tea polyphenols (TP), and tea polyphenol palmitate (TPP) against lipid oxidation were evaluated. RIT, POV, and TBARS results showed that the DHA algae oil sample containing 600 mg/kg TPP revealed the strongest stability and the walnut oil sample containing 450 mg/kg TPP and 100 mg/kg TP revealed the strongest stability. Then, the shelf lives of two oils were predicted from the extrapolation of the linear regression model between Log RIT and temperature. Our results indicated that the optimal antioxidant could prolong the shelf lives of DHA algae oil and walnut oil by 2.31‐ and 7.74‐fold, respectively.
Norwegian tunnel excavation: Increasing digitalisation in all operations
Authors: Ka Yi Chiu Jessica , Hansen Tom F. , Wetlesen Thorvald 
Published: April 2022

AbstractIn the past decades, Norwegian tunnelling has undertaken a major digital development in all operations from planning to the excavation phase. The breakthrough is driven by digital contract requirements from forward‐leaning clients and innovative industrial stakeholders, aiming for ever more efficient, quality‐oriented and risk‐reducing operations. A formal milestone documenting this development was the publication of Digitalisation in Norwegian Tunnelling in 2019. From 2019, most contracts of new infrastructure tunnels must deliver a level 3 Building Information Modeling (BIM) model. Control systems for drilling jumbos are fully digitalised. All drilling must be monitored and documented with Measurement While Drilling techniques. Via cloud servers, the drilling information is interpreted and delivered live to face engineers for decision support. Sensors are used to monitor rock grouting flow and pressure in each drill hole. Digital electronic detonators with exact delay time are used for blasting. Geotechnical mapping is carried out on field tablets. High‐resolution scans with RGB imaging must be carried out on the exposed rock surface and after rock support/linings. The next step is to utilise all the collected data to a higher degree by advanced analysis with machine learning (ML) and similar techniques for automation and optimisation. This study reviews and exemplifies the digital focus and achievements in core operations in Norwegian tunnel excavation.