bluuebunny/crossref_metadata_2025_split huggingface dataset:
A configural model of analytics capabilities, ambidexterity, co‐opetition, and firm performance in the supply chain context
Authors: Shamout Mohamed Dawood 
Published: November 2022

AbstractLogistics and supply chain excellence has become increasingly important as a source of competitive differentiation. Firms' efforts to achieve supply chain excellence include developing supply chain ambidexterity, co‐opetition relationships, and analytical capabilities. This study draws on the co‐opetition theory to investigate the combined role of supply chain co‐opetition, ambidexterity, and analytical abilities in determining higher firm performance. Using field data from individuals occupying managerial positions in United Arab Emirates businesses (n = 151), we applied structural equation modeling (SEM) and fuzzy sets techniques to assess the research proposition. The SEM results suggest that (1) supply chain co‐opetition and analytical capabilities have significant effects on firm performance, but supply chain ambidexterity does not. Through fuzzy sets, we found that (2) supply chain co‐opetition, ambidexterity, and analytical capabilities are necessary causal conditions for high firm performance. We also discovered that (3) supply chain co‐opetition all by itself, and (4), supply chain ambidexterity and analytical capabilities are sufficient causal conditions for high firm performance. This study provides a novel comprehension of the benefits of supply chain co‐opetition and analytical capabilities during the COVID‐19 pandemic, offering several theoretical and managerial implications.
Biomimetic cell membrane‐coated poly(lactic‐co‐glycolic acid) nanoparticles for biomedical applications
Authors: Jan Nasrullah , Madni Asadullah , Khan Safiullah , Shah Hassan , Akram Faizan , Khan Arshad , Ertas Derya , Bostanudin Mohammad F. , Contag Christopher H. , Ashammakhi Nureddin , Ertas Yavuz Nuri 
Published: November 2022

AbstractPoly(lactic‐co‐glycolic acid) (PLGA) nanoparticles (NPs) are commonly used for drug delivery because of their favored biocompatibility and suitability for sustained and controlled drug release. To prolong NP circulation time, enable target‐specific drug delivery and overcome physiological barriers, NPs camouflaged in cell membranes have been developed and evaluated to improve drug delivery. Here, we discuss recent advances in cell membrane‐coated PLGA NPs, their preparation methods, and their application to cancer therapy, management of inflammation, treatment of cardiovascular disease and control of infection. We address the current challenges and highlight future research directions needed for effective use of cell membrane‐camouflaged NPs.
A shared‐transportation mobile app continuance model: The moderating effects of brand awareness
Authors: Park Jungkun , Le Hoang Tran Phuoc Mai 
Published: November 2022

AbstractIn light of the increasing development of technological innovation and information and communication technologies, features of mobile apps functions are also increasingly developed to meet people's needs and wants. Amongst the variety, shared transportation apps (STA) have emerged to optimize people's daily transportation needs. This study modified the expectation‐confirmation theory and the post‐acceptance model of information system continuance to examine the effects of customers' perceived STA performance (service performance, content provision, and system performance) and benefits (function, money worthiness, pleasure, and social interaction) on customer satisfaction with the usage of STA, which is expected to have a positive effect on customer retention on STA in a new theoretical framework, called the performance‐benefit of the STA continuance model (PBCM). Moreover, brand awareness was expected to be an essential moderator on the effect of perceived performance and perceived benefits on customer satisfaction. 397 respondents were recruited online through a convenient sampling technique in the Vietnam market. Results show that service performance, money worthiness, pleasure, and social interaction are four important determinants of customer satisfaction with STA. Moreover, brand awareness significantly moderates the effects of service performance, system performance, money worthiness, and social interaction on customer satisfaction. Findings also contribute rational strategies for e‐commerce managers in general and STA managers in particular.
Establishment of sand bluestem with the aid of pre‐emergence‐applied herbicides
Authors: Boerman Nicholas A. , Gillen Robert L. , Masters Robert A. 
Published: November 2022

AbstractControlling competition with weeds is critical to successful native perennial grass establishment. Our objective was to determine the potential of several pre‐emergence‐applied herbicides to control annual weeds and aid sand bluestem (Andropogon hallii Hack.) establishment. Sand bluestem was seeded at one site in two adjacent areas during the end of March 2002 and 2003 in Woodward, OK, and at one site during the end of March 2004 near Fort Supply, OK, at 14.4 lb pure live seed acre−1 each year. Herbicides were applied within a few days of seeding and were watered in with ∼0.75 inch irrigation water within 1 wk of application at the Woodward sites whereas no irrigation water was supplied at the site near Fort Supply. Response variables measured were sand bluestem stand frequency 13 mo after seeding and forage production 16 mo after seeding. Thiazopyr prevented germination of sand bluestem in all plots, and atrazine + acetochlor produced stands significantly lower than the untreated controls in both locations. Imazapic produced stands of sand bluestem that were significantly greater than the untreated plots in both locations. Forage production of sand bluestem was significantly greater when imazapic was applied within 7 d after seeding than in untreated plots at both locations. Over all three sites, sand bluestem forage production averaged 3,202 lb acre−1 where imazapic was applied compared with only 1,663 lb acre−1 in plots not treated with herbicide. Sand bluestem forage production was consistently increased where imazapic was applied shortly after planting.
Red Shift in Optical Excitations on Layered Copper Perovskites under Pressure: Role of the Orthorhombic Instability
Authors: Carrasco‐Busturia David , Sánchez‐Movellán Inés , Tygesen Alexander Sougaard , Bhowmik Arghya , García‐Lastra Juan María , Aramburu José Antonio , Moreno Miguel 
Published: November 2022

AbstractThe red shift under pressure in optical transitions of layered compounds with CuCl64− units is explored through first‐principles calculations and the analysis of available experimental data. The results on Cu2+‐doped (C2H5NH3)2CdCl4, that is taken as a guide, show the existence of a highly anisotropic response to pressure related to a structural instability, driven by a negative force constant, that leads to an orthorhombic geometry of CuCl64− units but with a hole displaying a dominant 3z2‐r2 character (z being the direction perpendicular to the layer plane). As a result of such an instability, a pressure of only 3 GPa reduces by 0.21 Å the longest Cu2+‐Cl− distance, lying in the layer plane, while leaving unmodified the two other metal‐ligand distances. Owing to this fact, it is shown that the lowest d‐d transition would experience a red shift of 0.34 eV while the first allowed charge transfer transition is also found to be red shifted but only by 0.11 eV that reasonably concurs with the experimental value. The parallel study on Jahn‐Teller systems CdCl2:Cu2+ and NaCl:Cu2+ involving tetragonal elongated CuCl64− units shows that the reduction of the long axis by a pressure of 3 GPa is three times smaller than that for the layered (C2H5NH3)2CdCl4:Cu2+ compound. Accordingly, the optical transitions of such systems, which involve a positive force constant, are much less sensitive to pressure than in layered compounds. The origin of the red shift under pressure undergone by the lowest d‐d and charge transfer transitions of (C2H5NH3)2CdCl4:Cu2+ is discussed in detail.
Comparation of quality of life in Chinese patients undergoing leadless versus conventional pacemaker implantation
Authors: Yu Miao , Li Yue P. , Shi Dong M. , Zhou Yu J. 
Published: November 2022

AbstractBackgroundLeadless pacemakers are widely used, but the quality of life assessment of patients with leadless pacemakers is still unclear.HypothesisAssume that leadless pacemakers can improve the patients' quality of life.MethodsTotal of 119 patients who received pacemaker implantation at Beijing Anzhen Hospital from January 2020 to March 2022 were selected, including 35 leadless pacemakers and 84 conventional pacemakers. The SF‐36 questionnaire was used to evaluate quality of life at baseline, 1 month and 3 months after surgery. We also used a questionnaire consisted of 4 specific questions related to the implant procedure to assess the surgery.ResultsThere were no differences in baseline characteristics between the two groups, except for age and oral anticoagulant treatment. There was no difference in baseline SF‐36 scores. At the 3‐month follow‐up, patients in leadless pacemakers group were significantly better at physical function (63.63 vs 47.50,p= .000), role physical (60.20 vs 40.23,p= .000), bodily pain (65.57 vs. 61.69,p= .042), physical component summary (61.25 vs. 50.57,p= .000), vitality (56.26 vs 49.57,p= .001), social function (80.14 vs 74.70,p= .004), role emotional (76.14 vs. 71.42,p= .015), mental health (75.46 vs. 68.18,p= .000), mental component summary (72.00 vs. 65.97,p= .000), even after adjusting for clinical baseline and SF‐36 baseline. Pacemaker‐related discomfort and mobility limitations were significantly reduced in leadless pacemakers group.ConclusionsLeadless pacemakers is associated with better quality of life with less activity limitations due to surgical discomfort and less emotional distress. However, current use of leadless pacemakers in China is limited due to the high cost.
Treatment of Integrated Steel Plant Wastewater Using Conventional and Advanced Techniques
Authors: Kumar Manukonda Suresh , Gopinath Ashitha , Ranjith Nenthramkunnath , Ummar Safar , Nidheesh Puthiya Veetil 
Published: November 2022

AbstractThe integrated steel industry is considered as one of the important industrial sectors, and its outputs are inputs for other sectors including construction, engineering, medical and scientific equipment, and defence. Massive production, consumption, and export of steel signify a country's economic index. This review outlines the World's steel production quantities, the processes involved, and wastewater generation from the industry and its treatment. Wastewater generated from steel plants is highly complex and requires intensive treatment before discharge into natural water bodies. Technologies adopted for treating wastewater generated from steel industries are deliberated, focusing on coking wastewater treatment. Microbial mediated processes provide an effective means of degrading the contaminants, but the toxicity of certain compounds during higher pollutant load inhibits its further treatment. However, these processes can be integrated with either electrochemical technologies or advanced oxidation processes (AOPs), which can reduce the toxicity level. Hence, when a highly concentrated and complex mixture of contaminants is considered, an integrated approach is a resourceful option in terms of cost‐effectiveness and treatment efficiency.
Continuous self‐adaptation of control policies in automatic cloud management
Authors: Funika Włodzimierz , Koperek Paweł , Kitowski Jacek 
Published: November 2022

SummaryDeep reinforcement learning has been recently a very active field of research. The policies generated with the use of this class of training algorithms are flexible and thus have many practical applications. In this article we present the results of our attempt to use the recent advancements in reinforcement learning to automate the management of resources in a compute cloud environment. We describe a new approach to self‐adaptation of autonomous management, which uses a digital clone of the managed infrastructure to continuously update the control policy. We present the architecture of our system and discuss the results of evaluation which includes autonomous management of a sample application deployed to Amazon Web Services cloud. We also provide the details of the training of the management policy using the Proximal Policy Optimization algorithm. Finally, we discuss the feasibility to extend the presented approach to further scenarios.
A novel framework approach for intrusion detection based on improved critical feature selection in Internet of Things networks
Authors: Siddharthan Hariprasad , Thangavel Deepa 
Published: November 2022

SummaryWith the convergence of the Internet of Things (IoT), 5G, and artificial intelligence, the number of security violations and disturbances on IoT devices and networks has increased. Traditional intrusion detection systems (IDS) are inadequate to handle and detect attacks. This article proposes an improved critical feature selection (ICFS) algorithm with an ensemble learning (EL) for IDS in IoT‐Message queuing telemetry transport (MQTT) network. The proposed framework includes four major parts: (i) The RPIMQTTSET dataset is created using three raspberry pi devices for generating the regular and attack features. (ii) An ICFS algorithm is proposed to select the optimized features from the original dataset, and the optimized features have been validated with the help of the Tanimoto coefficient. (iii) SMOTETomek is applied for balancing the dataset to improve the detection rate of attacks. (iv) Generation of a K‐fold cross‐validated attack detection model utilizing an EL method such as K‐nearest neighbor, eXtreme Gradient Boosting, and random forest. Experimental results show less computational complexity in selecting features, training, and testing the dataset in the proposed network. The proposed model has training accuracy over 99% and testing accuracy over 92%, and it uses fewer redundant features than previous state‐of‐the‐art methodologies.
Learning successful implementation of Chatbots in businesses from B2B customer experience perspective
Authors: Kaushal Vaishali , Yadav Rajan 
Published: November 2022

SummaryArtificial intelligence empowered Chatbots are altering the nature of service interfaces which has further resulted in raised expectations from Chatbots to understand customer's social interactions and respond them within the turnaround time. To close this research gap, we conduct an exploratory study in two phases‐industry's perspective and B2B customer's perspective and analyze results with the help of NVIVO 12 plus and Leximancer. The findings reveal perceived risk with respect to Chatbots is high, complex pricing structure along with nonavailability of testing options makes the pre purchase more complex. Moreover, interactive speed, customization especially with respect to language issues, integration with other platforms is some of the major themes which influence customer experience. Advancements in AI, natural language processing and more testing at all phases will bring efficiency, automation first strategies. Further, our findings suggest Chatbots must provide more personalization, scalability and omni channel engagement and focus on delivering more enhanced customer experience. Chatbots must offer a grievance management dashboard where the customer can see live queries, resolved queries, present queries status and so on to get transparency. Chatbots streamline the lead qualification process, greatly improve, and speed up the data collection therefore, enhancing customer experience.
An online workflow scheduling algorithm considering license limitation in heterogeneous environment
Authors: Qiao Qihang , Chen Lan , Cai Hong , Zhang He , Yao Zhenjie 
Published: November 2022

AbstractWith the development of the IC industry, electronic design automation (EDA) tools are also developing. Currently, EDA tools have been migrating to high‐performance computing clusters (HPC) or the cloud to meet increasing computing and storage requirements. EDA tasks are scientific workflows, whose scheduling is a well‐known NP‐hard problem. In this paper, we propose a novel workflow scheduling algorithm HEWS, which achieves better performance through a novel hierarchical sorting method. We conducted a series of simulation experiments in different environments, and the experimental results show that our HEWS scheduling algorithm achieves better scheduling performance compared to several conventional scheduling methods, the waiting time and makespan of workflow are significantly reduced.
Local Ancestry‐Informed Candidate Pathway Analysis of Warfarin Stable Dose in Latino Populations
Authors: Steiner Heidi E. , Carrion Kelvin Carrasquillo , Giles Jason B. , Lima Abiel Roche , Yee Kevin , Sun Xiaoxiao , Cavallari Larisa H. , Perera Minoli A. , Duconge Jorge , Karnes Jason H. 
Published: November 2022

Accuracy of warfarin dose prediction algorithms may be improved by including data from diverse populations in genetic studies of dose variability. Here, we surveyed single nucleotide polymorphisms in vitamin K‐related genetic pathways for association with warfarin dose requirements in two admixed Latino populations in standard‐principal component adjusted and contemporary‐local ancestry adjusted regression models. A total of five variants from vitamin K‐related genes/pathways were associated with warfarin dose in both cohorts (P < 0.0125) in standard models. Local ancestry‐adjusted analysis unveiled 35 associated variants with absolute effects ranging from β = 9.04 ( ±2.23) to 39.18 ( ±10.89) per ancestral allele in the discovery cohort and β = 6.47 (± 2.02) to 17.82 (± 6.83) in the replication cohort. Importantly, we demonstrate the technical validity of the Tractor model in cohorts with admixed ancestry from three founder populations and bring attention to the technical hurdles obstructing the inclusion of diverse, especially admixed, populations in pharmacogenomic research.
Heptazine‐Based Ordered‐Distorted Copolymers with Enhanced Visible‐Light Absorption for Photocatalytic Hydrogen Production
Authors: Zhang Jian , Ye Gui , Zhang Chao , Pan Zhiming , Wang Sibo , Zhang Guigang , Wang Xinchen 
Published: November 2022

AbstractPoly(heptazine imide) (PHI), one of the attractive allotropes of polymeric carbon nitride, has recently received extensive attention in photocatalysis due to its extended conjugation for fast separation and transfer of the charges. However, pristine PHI bears an intrinsic optical absorption band edge at 460 nm, which largely restrains the visible light utilization. Herein, the narrow‐bandgap PHI (N‐PHI) with an ordered‐distorted interface was fabricated from polycondensation of the mixture of NaSCN, cyanuric chloride, and LiCl. Results revealed that the enhanced optical absorption and the promoted separation and transfer of the charge carriers at the interface greatly improved the photocatalytic performance, which endowed N‐PHI with an apparent quantum yield of 20 % for hydrogen production at 450 nm.
Transformer differential protection scheme based on self‐adaptive biased characteristic curve and considering cross‐country faults
Authors: Shahbazi Nassim , Bagheri Sajad , Gharehpetian Gevork B. 
Published: November 2022

AbstractThe differential protection of transformers sometimes does not have reliable performance facing some faults and events such as saturation of current transformers (CTs) during internal and external faults, inrush currents, and cross‐country faults (CCFs). In this paper, a new transformer differential protection scheme based on the self‐adaptive biased characteristic curve and considering CCFs and various disturbances are used. First, the maximum overlap discrete wavelet transform (MODWT) was used to extract the superior characteristics of sampled differential current of the transformer at different levels. Then, by calculating the duty cycle (D) values of energy coefficients extracted in each periodicity by MATLAB software, a new self‐adaptive biased characteristic curve will be obtained in different operating conditions. Finally, the percentage differential protection operation is adjusted based on the new adaptive characteristic curve zones. Differential current sampling under different operating conditions was performed on a real three‐phase transformer in EMTP software. The simulation results show that the proposed adaptive differential protection scheme can accurately detect various faults and events occurring in the transformer and increase system reliability.
Scrub encroachment promotes biodiversity in temperate European wetlands under eutrophic conditions
Authors: Brunbjerg Ane Kirstine , Fløjgaard Camilla , Frøslev Tobias Guldberg , Andersen Dagmar Kappel , Bruun Hans Henrik , Dalby Lars , Goldberg Irina , Lehmann Louise Juhl , Moeslund Jesper Erenskjold , Ejrnæs Rasmus 
Published: November 2022

AbstractWetlands are important habitats, often threatened by drainage, eutrophication, and suppression of grazing. In many countries, considerable resources are spent combatting scrub encroachment. Here, we hypothesize that encroachment may benefit biodiversity—especially under eutrophic conditions where asymmetric competition among plants compromises conservation targets. We studied the effects of scrub cover, nutrient levels, and soil moisture on the richness of vascular plants, bryophytes, soil fungi, and microbes in open and overgrown wetlands. We also tested the effect of encroachment, eutrophication, and soil moisture on indicators of conservation value (red‐listed species, indicator species, and uniqueness). Plant and bryophyte species richness peaked at low soil fertility, whereas soil fertility promoted soil microbes. Soil fungi responded negatively to increasing soil moisture. Lidar‐derived variables reflecting the degree of scrub cover had predominantly positive effects on species richness measures. Conservation value indicators had a negative relationship to soil fertility and a positive to encroachment. For plant indicator species, the negative effect of high nutrient levels was offset by encroachment, supporting our hypothesis of competitive release under shade. The positive effect of soil moisture on indicator species was strong in open habitats only. Nutrient‐poor mires and meadows host many rare species and require conservation management by grazing and natural hydrology. On former agricultural lands, where restoration of infertile conditions is unfeasible, we recommend rewilding with opportunities for encroachment toward semi‐open willow scrub and swamp forest, with the prospect of high species richness in bryophytes, fungi, and soil microbes and competitive release in the herb layer.
Environmental stress influences Malesian Lamiaceae distributions
Authors: Trethowan Liam A. , Arvidsson Camilla , Bramley Gemma L. C. 
Published: November 2022

AbstractDual effects of spatial distance and environment shape archipelagic floras. In Malesia, there are multiple environmental stressors associated with increasing uplands, drought, and metal‐rich ultramafic soils. Here, we examine the contrasting impacts of multifactorial environmental stress and spatial distance upon Lamiaceae species distributions. We used a phylogenetic generalized mixed effects model of species occurrence across Malesia's taxonomic database working group areas from Peninsular Malaysia to New Guinea. Predictor variables were environmental stress, spatial distance between areas and two trait principal component axes responsible for increasing fruit and leaf size and a negative correlation between flower size and plant height. We found that Lamiaceae species with smaller fruits and leaves are more likely to tolerate environmental stress and become widely distributed across megadiverse Malesian islands. How global species distribution and diversification are shaped by multifactorial environmental stress requires further examination.