bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of internal company dynamics on sustainable circular business development: Insights from circular startups
Authors: von Kolpinski Charleen , Yazan Devrim Murat , Fraccascia Luca 
Published: August 2022

AbstractThe circular economy is commonly acknowledged as a solution to ecological problems such as resource depletion and waste emissions. New economic opportunities emerge by transitioning from a linear to a circular economy and innovative business models are needed to translate these opportunities into business reality. In recent years, researchers have investigated a variety of approaches to circular business models, but few studies have been conducted associating internal company dynamics with sustainable circular business approaches. Consequently, the purpose of this study is to investigate the internal dynamics of young and small‐scale companies in Germany that adopt a sustainable circular business model. This study focuses on internal barriers, enablers, competences and drivers to sustainable circular business model implementation. A case‐based research design was applied, drawing on semi‐structured interviews with 12 founders of businesses and organisations with a sustainable circular business model. The study develops four strategies to overcome barriers to sustainable circular business model adoption in young and small‐scale companies: (1) human‐centeredness in all activities affected by circular business model adoption, (2) high commitment for circularity on the managerial level, (3) requirement of special skills and competences and (4) consideration of cultural aspects inside and outside the company. Further empirical research about established and international incumbents with a sustainable circular business model is needed to be able to compare the internal dynamics of big and small companies in international contexts.
Diving into the business strategy: The strategy tripod's influence on supply chain sustainability orientation
Authors: Ponte Roselene C. Del Vecchio , Viana Fernando Luiz E. , Silva Minelle E. 
Published: August 2022

AbstractFirm orientation is a key factor in the implementation of sustainability in supply chains (SCs). Although firms recognize the need to define strategies for success, they often overlook whatever strategies they do develop in their decision‐making process. To address this gap, we argue that the strategy tripod comprising the industry‐based view (IBV), resource‐based view (RBV), and institutional‐based view (INSBV) can influence SC orientation toward sustainability. This paper describes an investigation into this strategy tripod's impact on the cashew industry's SC sustainability orientation. Multiple case studies were conducted by gathering data from various cashew SC stakeholders. A deductive content analysis showed that, despite the existing influences from the three legs of the strategy tripod, emphasis was placed on the firm perspective (i.e., RBV), which affected SC sustainability orientation in that the industry‐ (i.e., IBV) and institutional‐ (i.e., INSBV) level views received less consideration in the creation of SC strategies. This research contributes to theory and practice by shedding light on under‐explored relations between business strategy and SC sustainability. Our results show that firms should move from pressure responsiveness to strategy management to implement sustainability‐oriented initiatives.
Development of a Novel Airlift Photobioreactor: Modeling, Particle Image Velocimetry Measurements, and Cultures
Authors: Feng Aiguo , Zhang Ting , Zhu Qiangui , Ye Xinyi , Liu Chunjiang 
Published: August 2022

AbstractMicroalgae are commonly cultivated using photobioreactors (PBRs). To investigate Chlorella vulgaris productivity, a 2.5‐L airlift photobioreactor (AL‐PBR) with vertical and incline baffles was newly developed using computational fluid dynamics (CFD), particle image velocimetry (PIV) methods, and dark/light cultures. A significant increase in cell density and lipid accumulation rate (LAR) in the AL‐PBR was observed. Hydrodynamic stresses including velocity fluctuation, pressure drop, looped bubble swarm, and vorticity magnitude were quantified in algae cultures, suggesting that microvortices induced light and CO2 distribution regulated the algae plastid metabolism in the exponential phase of growth. This study provides a fundamental practice to the scale‐up of bioreactors.
Numerical Investigation of the Cooling Behavior of Molded Chocolate Products
Authors: Lörcher Marc , Behrens Stefan , Böttger Arne , Lange Claudia , Schräer Christian , Luo Xing , Kabelac Stephan 
Published: August 2022

AbstractIn addition to taste and melting behavior, the gloss is an important quality criterion of chocolate products. Differences considering the gloss on products can be attributed to different causes in the production process. The chocolate which has been precrystallized by shearing and supercooling is further cooled, crystallized, and transported as a solid chocolate out of the cooling process. The cooling of the chocolate is largely unexplored in a paternoster refrigerator. Therefore, the resulting flow profile and temperature profile are numerically studied in this work.
Graphene Quantum Dot‐Doped PEDOT for Simultaneous Determination of Ascorbic Acid, Dopamine, and Uric Acid
Authors: Chul Lim Hong , Jang Seung‐Joo , Cho Yujin , Cho Hyunju , Venkata Prasad Gajapaneni , Venkatachalam Vinothkumar , Shin Ik‐Soo , Hyun Kim Tae 
Published: August 2022

AbstractInvited for this issue's Front Cover is the group of Prof. Dr. Tae Hyun Kim from Soonchunhyang University (South Korea). The cover picture illustrates poly(3,4‐ethylenedioxythiophene) (PEDOT) electrodeposited thin films (PEDOT‐GQD) doped with graphene quantum dots (GQD) as an electrode active material that has a high electrochemically active area and interfacial electron transport rate. As a result, PEDOT‐GQD will simultaneously detect ascorbic acid, dopamine, and uric acid with high selectivity and high sensitivity. Read the full text of the Research Article at 10.1002/celc.202200557.
A review of precision management for golf course turfgrass
Authors: Carlson Michael G. , Gaussoin Roch E. , Puntel Laila A. 
Published: August 2022

AbstractPrecision turfgrass management (PTM) is a combination of methods and technologies proposed to increase the resiliency of golf courses by improving input efficiency while maintaining the function and aesthetics of the playing surface. However, there is no recent review describing the status of precision management in turfgrass. The objectives of this review were to (a) summarize peer reviewed research on precision technology for turfgrass management, (b) describe adoption of PTM‐based tools, and (c) propose an agenda of research priorities to advance and promote PTM adoption. Of the articles reviewed, 94% documented the accuracy of sensors to detect turfgrass performance and stressors before or during visual symptoms. Only 6% of the research reviewed focused on developing models or decision support systems to quantify the relationship among reflectance, nitrogen uptake, visual quality, biomass production, and irrigation which are required for precision management by golf course superintendents. Efficacy or value of using PTM methods and technologies have not been reported. Golf course superintendents lack of knowledge about PTM, and lack of quantification of benefits of PTM pose limitations to promote adoption. Increasing the adoption of PTM will require research to focus additionally on automating sensor data processing; quantifying costs, benefits, and value of adopting PTM; and simplifying input applications in a PTM system. This review described the status of precision management in golf course turfgrass and shed light into the need for research to develop models and decision support tools for precision management of golf course turfgrass.
Detection of Reactive Oxygen and Nitrogen Species by Upconversion Nanoparticle‐Based Near‐Infrared Nanoprobes: Recent Progress and Perspectives
Authors: Yu Xiaokan , Ouyang Wenao , Qiu Hao , Zhang Zhijun , Wang Zhimin , Xing Bengang 
Published: August 2022

AbstractReactive oxygen species (ROS) and reactive nitrogen species (RNS) are essential oxidative metabolites of organisms, which are closely related to physiological, pathological and pharmacological processes. The accurate detection of ROS/RNS is important for the understanding of biological processes, monitoring of pharmacological effects, and predicting the course of disease. The recently developed NIR nanoprobes based on upconversion nanoparticles (UCNPs) hold great prospects in sensitive and deep‐tissue detection of ROS/RNS, and considerable progress has been achieved so far. In this review, we systematically summarize the up‐to‐date advances of UCNPs‐based near‐infrared (NIR) probes for ROS/RNS sensing, and the potential challenges and perspectives for further research are also highlighted. We envision that such a research field will have a bright future for modern biomedical applications.
Thiazole Boron Difluoride Dyes with Large Stokes Shift, Solid State Emission and Room‐Temperature Phosphorescence
Authors: Wang Wei , Tong Shuo , Wang Qi‐Qiang , Ao Yu‐Fei , Wang De‐Xian , Zhu Jieping 
Published: August 2022

AbstractThe small Stokes shift and weak emission in the solid state are two main shortcomings associated with the boron‐dipyrromethene (BODIPY) family of dyes. This study presents the design, synthesis and luminescent properties of boron difluoro complexes of 2‐aryl‐5‐alkylamino‐4‐alkylaminocarbonylthiazoles. These dyes display Stokes shifts (Δλ, 77–101 nm) with quantum yields (ϕFL) up to 64.9 and 34.7 % in toluene solution and in solid state, respectively. Some of these compounds exhibit dual fluorescence and room‐temperature phosphorescence (RTP) emission properties with modulable phosphorescence quantum yields (ϕPL) and lifetime (τp up to 251 μs). The presence of intramolecular H‐bonds and negligible π‐π stacking revealed by X‐ray crystal structure might account for the observed large Stokes shift and significant solid‐state emission of these fluorophores, while the enhanced spin‐orbit coupling (SOC) of iodine and the self‐assembly driven by halogen bonding, π‐π and C−H…π interactions could be responsible for the observed RTP of iodine containing phosphors.
Synthesis, Design, and Structure‐Activity Relationship of a Benzenesulfonylpiperazine Series againstTrypanosoma cruzi
Authors: Cassiano Martinho Ana Clara , de Melo Resende Daniela , Landin Emanuelly Silva , Dit Lapierre Thibault Joseph William Jacques , Bernardes Talita Cristina Diniz , Martins Luan Carvalho , Ferreira Rafaela Salgado , Murta Silvane Maria Fonseca , de Oliveira Rezende Júnior Celso 
Published: August 2022

AbstractChagas disease is a neglected tropical disease, endemic in Latin America and caused by the protozoan parasiteTrypanosoma cruzi. Available treatments show low cure efficacy during the chronic phase of the disease and cause a series of side effects, reinforcing the need to develop new drugs against Chagas disease. In this work, we describe the optimization of a trypanocidal hit compound recently reported in phenotypic high‐throughput screening studies againstTrypanosoma cruzi. A hit‐to‐lead process was initiated and a structure‐activity relationship againstTrypanosoma cruziwas obtained after the synthesis and biological evaluation of 22 new benzenesulfonylpiperazine derivatives. From this structure‐activity relationship study, we identified three compounds with a promising predicted ADMET profile and potency comparable to the reference drug benznidazole, which are candidates for further development towards therapies for Chagas disease.
Boat‐, Cuboid‐, and Dumbbell‐Shaped Hierarchical Morphology of Cerium (IV) Hydroxidophosphate Materials for Oxidative Coupling Reaction
Authors: Sarkar Sunny , Sarkar Soumita , Patra Astam K. 
Published: August 2022

AbstractA simple hydrothermal approach was used to obtain boat‐, cuboid‐, and dumbbell‐shaped hierarchical morphology of cerium (IV) hydroxidophosphate materials. The period of the reactions, pH, and types of bases play crucial roles in tuning the morphology of the material. PXRD, FE‐SEM, HR‐TEM, FT‐IR, XPS, EDX, and EPR spectroscopies were used to analyze the materials. FE‐SEM and HR‐TEM analysis show that the materials have hierarchical morphology. According to XPS and EPR analysis, the materials comprise a redox‐active Ce3+/Ce4+ couple. The thiol to disulfide oxidative coupling reaction is synergistically boosted by the hierarchical morphology and redox‐active Ce3+/Ce4+ couple. The catalyst has excellent catalytic activity both in aqueous as well as protic organic solvents. However, the catalyst exhibited no reactivity in common organic solvents such as CH3CN, DCM, and THF. The catalytic reaction was thoroughly investigated in the presence of various solvents, catalyst amounts, oxidising agents, and substrates. In the presence of H2O2, the yield is 99%, whereas in the presence of air, it is 79%. We found high yields for several aromatic thiols but aliphatic thiols exhibited relatively poor yields under identical conditions.
PreF: Predicting job failure on supercomputers with job path and user behavior
Authors: Xian Gang , Zhang Xiaorong , Yu Jie , Wang Guijuan , Yang Wenxiang , Zhou Longfang , Wu Yadong , Li Xuejun , He Xin 
Published: August 2022

AbstractLarge numbers of jobs are executed on supercomputers almost every day. Unfortunately, many jobs would fail for various reasons, resulting in the waste of resources and the prolonged waiting time for queuing jobs. Job failure prediction can guide adjustment measures in advance, which is vital to the system's overall execution efficiency and reliability. Aiming at the problem that the existing job failure prediction methods are single, the collection of job features is complex and challenging to apply. This article strives to study whether these failed jobs can be predicted with known and synthetic features. We perform a comprehensive analysis of large amounts of historical data and various features and find that two novel features (running path and retry count) can predict job failure well. The running path indicates the application type a job belongs to, and the retry count reflects the user's behavior when the job fails. We propose a job failure prediction framework called PreF on supercomputers using machine learning based on the novel features. The experimental results show that PreF can correctly identify over 89% of jobs, outperforming the latest related methods on the comprehensive evaluation indicator (S_score) by around 4%.
Synthesis of Scyllatoxin‐Based BH3 Domain Mimetics with Diverse Patterns of Native Disulfide Bonds
Authors: Vince Matthew J. K. , Holub Justin M. 
Published: August 2022

AbstractThis article outlines the design and development of scyllatoxin (ScTx)–based BH3 domain mimetics with diverse patterns of native disulfide bonds. More specifically, this method summarizes the total chemical synthesis of ScTx‐based peptides that contain zero, one, two, or three disulfide linkages, including techniques to generate variants with any combination of native disulfides. Each peptide reported herein is generated on solid‐phase support using microwave‐assisted coupling procedures, and all reaction parameters related to the peptide synthesis are described in detail. The various disulfide patterns of the ScTx‐based constructs are established during peptide synthesis and are ultimately verified by mass analysis of trypsin‐digested fragments. The BH3 domain mimetics developed herein were generated by transposing residues from the helical BH3 domain of the pro‐apoptotic BCL2 protein Bax to the α‐helix of wild‐type ScTx. Interestingly, we found that the relative binding affinities of ScTx‐Bax peptides for the anti‐apoptotic BCL2 protein Bcl‐2 (proper) were heavily influenced by the number and position of disulfide linkages within the ScTx‐Bax sequence. As a consequence, we were able to utilize ScTx‐Bax BH3 domain mimetics with varied patterns of disulfide bonds to survey how structural rigidity within the helical Bax BH3 domain affects binding to promiscuous anti‐apoptotic BCL2 proteins. More broadly, the ability to generate ScTx‐based molecules that contain any combination of native disulfide bonds expands the utility of such constructs as tools to study the molecular nature of protein‐protein interactions. © 2022 Wiley Periodicals LLC.Basic Protocol 1: Synthesis and characterization of ScTx‐based Bax BH3 domain mimeticsBasic Protocol 2: Oxidation of ScTx‐Bax BH3 domain mimetics containing one, two, or three disulfide linkagesSupport Protocol: Mapping of disulfide linkages in oxidized ScTx‐Bax BH3 domain mimetics
FFPE‐ATAC: A Highly Sensitive Method for Profiling Chromatin Accessibility in Formalin‐Fixed Paraffin‐Embedded Samples
Authors: Yadav Ram Prakash , Polavarapu Vamsi Krishna , Xing Pengwei , Chen Xingqi 
Published: August 2022

AbstractIn basic and translational cancer research, the majority of biopsies are stored in formalin‐fixed paraffin‐embedded (FFPE) samples. Chromatin accessibility reflects the degree to which nuclear macromolecules can physically interact with chromatinized DNA and plays a key role in gene regulation in different physiological conditions. As such, the profiling of chromatin accessibility in archived FFPE tissue can be critical to understanding gene regulation in health and disease. Due to the high degree of DNA damage in FFPE samples, accurate mapping of chromatin accessibility in these specimens is extremely difficult. To address this issue, we recently established FFPE‐ATAC, a highly sensitive method based on T7‐Tn5‐mediated transposition followed by in vitro transcription (IVT), to generate high‐quality chromatin accessibility profiles with 500–50,000 nuclei from a single FFPE tissue section. In FFPE‐ATAC, which we describe here, the T7‐Tn5 adaptors are inserted into the genome after FFPE sample preparation and are unlikely to sustain the DNA breakage that occurs during reverse cross‐linking of these samples. It should, therefore, remain at the ends of broken accessible chromatin sites after reverse cross‐linking. IVT is then used to convert the two ends of the broken DNA fragments to RNA molecules before making sequencing libraries from the IVT RNAs and further decoding Tn5 adaptor insertion sites in the genome. Through this strategy, users can decode the flanking sequences of the accessible chromatin even if there are breaks between adjacent pairs of T7‐T5 adaptor insertion sites. This method is applicable to dissecting chromatin profiles of a small section of the tissue sample, characterizing stage and region‐specific gene regulation and disease‐associated chromatin regulation in FFPE tissues. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC.Basic Protocol 1: Nuclei isolation from FFPE tissue samplesBasic Protocol 2: T7‐Tn5 transposase tagmentation, reverse‐crosslinking, and in vitro transcriptionBasic Protocol 3: Preparation of libraries for high‐throughput sequencing
Trans Z‐source‐based half‐bridge inverter: A method for achieving high voltage gain
Authors: Aalami Mohammadamin , Babaei Ebrahim , Ghassem Zadeh Saeid , Iqbal Atif 
Published: August 2022

AbstractThis article offers a modified trans Z‐source‐based half‐bridge inverter topology. A suitable pulse width modulation (PWM)‐based control method is applied on the proposed inverter. Regarding this control technique, the state of switches in each of the operational states is obtained, and their equivalent control circuits are demonstrated and examined in depth. With the help of the results of these analyses, the boost factor for the proposed structure can be calculated. Additionally, the necessary equations for designing the passive components, as well as the power ratings of the active components, are found. Then, in order to evaluate the advantages and disadvantages of the proposed topology, a comparative study is conducted in several aspects, including the boost factor, the voltage stresses on capacitors, and the voltage stresses on passive devices. This comparison demonstrates that the proposed topology provides a high boost factor while minimizing voltage stresses on the devices, resulting in a smaller volume and size and a lower cost. Once the proposed topology has been thoroughly analyzed, the total power losses and the percentages of power losses consumed by each component device are calculated to obtain efficiency. Finally, an experimental prototype based on the equations for passive and active components is developed. Experiments are used to verify the validity of the proposed topology and the accuracy of the equations.
A novel generalized fractional‐order memristor model with fully explicit memory description
Authors: Banchuin Rawid 
Published: August 2022

AbstractIn this work, a novel generalized mathematical model of fractional‐order memristor with fully explicit memory description has been proposed. For obtaining such full explicit memory description, the Atangana‐Baleanu fractional derivative in Liouville‐Caputo sense, which employs a nonsingular kernel, has been adopted as the mathematical basis. The proposed model has been derived without regarding to any specific conventional memristor. A comparison with the singular kernel fractional derivative‐based model has been made. The behavioral analysis of the fractional‐order memristor based on the proposed model has been performed, where both DC and AC stimuli have been considered. In addition, its application to the practical fractional‐order memristor‐based circuit and its extension to the fractional‐order memreactance have also been shown. Unlike the singular kernel fractional derivative‐based model, a fully explicit memory description can be obtained by ours. Many other interesting results that are contradict to the previous singular kernel fractional derivative‐based ones, e.g., the fractional‐order memristor that can be locally active, have been demonstrated. The abovementioned extension can be conveniently performed. In summary, this is the first time that a nonsingular kernel fractional derivative has been applied to the fractional‐order memristor modeling and the resulting model with a fully explicit memory description has been proposed. The proposed model is also highly generic, applicable to the practical circuit, and extendable to the fractional‐order memreactance.