bluuebunny/crossref_metadata_2025_split huggingface dataset:
Outage analysis of cooperative NOMA system with imperfect successive interference cancellation and channel state information over Rayleigh fading channel
Authors: K Srinivasarao , Maruthu Surendar 
Published: July 2022

SummaryCooperative communication is a significant technology for fifth generation (5G) and beyond wireless communication to improve the quality of service (QoS) in massive networks. In addition, it serves as a promising candidate along with non‐orthogonal multiple access (NOMA) scheme to increase the spectral efficiency. Conventionally, cooperative‐NOMA (C‐NOMA) systems are analysed by assuming perfect successive interference cancellation (SIC) and imperfect SIC (I‐SIC) over Rayleigh, Rican,
Hoyt fading channels, and so on. In this paper, near–far relay (NFR) C‐NOMA system is analysed aiding perfect SIC, perfect channel state information (CSI), imperfect (I‐CSI) and (I‐SIC) over Rayleigh fading channel. Initially, we derive analytical expressions of outage probability (OP) by considering I‐SIC and I‐CSI for NFR‐C‐NOMA system. The accuracy of analytical results is verified through Monte Carlo (MC) simulations. Interpretation of the results conveys that I‐CSI and I‐SIC have a substantial impact on OP in NFR‐C‐NOMA scheme and existing schemes. Later, we examined impact on OP in NFR‐C‐NOMA by varying relay position, target rate of users and jointly considering the I‐SIC, I‐CSI. Further, it is also observed that the NFR‐C‐NOMA scheme shows better outage performance than state‐of‐the‐art schemes.
Energy‐efficient compressive sensing for multi‐target tracking in wireless visual sensor networks
Authors: Najimi Maryam , Sadeghi Vahideh Sadat 
Published: July 2022

SummaryWireless visual sensor networks (WVSN) have vital roles in surveillance applications. In these networks, wireless visual sensors include camera and transceiver module and collect visual information. However, energy consumption and coverage of the tracked targets are important challenges in WVSNs since increasing the coverage leads to increasing energy consumption. Therefore, energy optimization and satisfying the quality of experience (QoE) of the tracked targets are essential issues in these networks. In fact, the appropriate focal length setting leads to increasing the target coverage and quality of the captured targets' images and energy consumption. Therefore, selection of the suitable visual sensors and setting their focal length can overcome the energy consumption challenges and improve QoE of the tracked targets. In this case, compressive sensing is also expected to overcome the battery constraints of the WVSN resources. In this paper, the problem is to minimize the energy consumption of the multi‐target tracking with high reliability, while the coverage and also the quality of the received image of the targets are satisfied by selection of the proper visual sensors and the focal length adjustment. The convex optimization method is used to solve the problem. Also, based on the Karush‐Kuhn‐Tucker conditions, the optimal solution for the problem is obtained. Simulation results validate the efficiency of the proposed method in comparison with the other bench mark algorithms.
Biogeographic features mediate marine subsidies to island food webs
Authors: Obrist Debora S. , Hanly Patrick J. , Brown Norah E. M. , Ernst Christopher M. , Wickham Sara B. , Fitzpatrick Owen T. , Kennedy Jeremiah C. , Nijland Wiebe , Reshitnyk Luba Y. , Darimont Chris T. , Starzomski Brian M. , Reynolds John D. 
Published: July 2022

AbstractAlthough marine subsidies often enrich terrestrial ecosystems, their influence is known to be context‐dependent. Additionally, the multitrophic impact of marine subsidies has not been traced through food webs across physically diverse islands. Here, we test predictions about how island characteristics can affect marine enrichment of food web constituents and how nutrients flow through island food webs. To evaluate enrichment and trace marine nutrients across food webs, we used stable isotopes of soil, flora, and fauna (n = 4752 samples) collected from 97 islands in British Columbia, Canada. Island area was the strongest predictor of enrichment across taxa; we found that samples were more 15N‐rich on smaller islands. Enrichment declined with distance from shore but less so on small islands, implying a higher per‐unit‐area subsidy effect. These area and distance‐to‐shore effects were taxon‐specific, and nearly twice as strong in basal food web groups. We also found that increases in δ15N correlated with increases in %N in basal trophic groups, as well as in songbirds, implying biologically relevant uptake of a potentially limiting nutrient. Path analysis demonstrated that subsidies in soil flow through plants and detritivores, and into upper‐level consumers. Our results reveal an interplay between island biogeography and marine subsidies in shaping island food webs through bottom‐up processes.
Wildfire extends the shelf life of elk nutritional resources regardless of fire severity
Authors: Snobl Lauren A. , Proffitt Kelly M. , Millspaugh Joshua J. 
Published: July 2022

AbstractLarge‐scale, high‐severity wildfires are increasingly frequent across the western United States. Fire severity affects the amount of vegetation removed and helps dictate what, where, and how many plants regenerate postfire, potentially altering the available habitat and nutritional landscape for wildlife. To evaluate the effects of fire severity on summer nutritional resources for elk (Cervus canadensis), we collected field data and remotely sensed information in Years 2 and 3 after a large‐scale wildfire to compare forage quality and quantity across forest types and fire severities within the summer range of one elk population in west‐central Montana. To understand the landscape‐level effects of fire severity on nutritional resources, we developed predictive forage quality and quantity models. We used these models to predict nutritional resources across the landscape for four landscape scenarios representing different fire severity patterns (i.e., an unburned landscape, a landscape burned only at low severity, a landscape burned only at high severity, and the observed landscape burned at mixed severity). Shortly after the wildfire, summer forage quality and herbaceous forage quantity increased in both burned mesic and dry mixed‐conifer forests regardless of fire severity. Summer shrub forage quantity was greater in unburned mesic and dry forests, and there was no difference between fire severities in dry forests. Low‐severity burned mesic forests had significantly greater shrub forage quantity compared with high‐severity burned mesic forests. The three predicted burned landscape scenarios had the highest percentage of the summer range with adequate forage quality, which increased throughout the summer. By contrast, the predicted unburned landscape had the lowest percentage of summer range with adequate forage quality, which decreased throughout the summer. Wildfire extended the duration in which elk can access high‐quality forage in the summer in Years 2 and 3 postfire. Therefore, shortly after a large‐scale wildfire, elk may be better able to meet their nutritional requirements, which may positively impact elk body condition, reproductive performance, and survival.
Three Proton‐Conductors Based on Keggin‐Type Polyoxometalates Well‐Arranged in the Networks of Dinuclear‐Cu(II)‐Mixed‐Organic‐Ligand Clusters
Authors: Zhang Guang‐Guang , Duan Xian‐Ying , Zhao Yan , Wei Mei‐Lin 
Published: July 2022

AbstractThree proton‐conductors, [Cu(5‐H2L)(IN)(H2O)]2H2[SiW12O40] ⋅ 2CH3CN ⋅ 2.5H2O (1), [Cu(4‐HL)(HIN)(H2O)]2H2[SiW12O40] ⋅ 7H2O (2) and [Cu(4‐HL)(HIN)(CH3CN)]2[HIN]2H4[PMo12O40]2 ⋅ 2CH3CN ⋅ 12H2O (3) (where 5‐H2L/4‐H2L is 5,5’/4,4’‐bis(hydroxymethyl)‐2,2’‐bipyridine and HIN is isonicotinic acid), were synthesized at room temperature. Interestingly, three dinuclear‐Cu(II)‐mixed‐organic‐ligand clusters, [Cu(5‐H2L)(IN)(H2O)]22+ cluster for 1, [Cu(4‐HL)(HIN)(H2O)]22+ for 2 and [Cu(4‐HL)(HIN)(CH3CN)]22+ for 3, are in situ synthesized under the coexistence of Keggin‐type polyoxometalates. More interestingly, in 1–3, the global Keggin‐type anions are well‐arranged in the hydrogen‐bonding networks of double‐Cu(II)‐mixed‐organic‐ligand clusters to give different spatial arrangement patterns. The [SiW12O40]4− anions in 1 display two dimensional layer pattern. The [SiW12O40]4− anions in 2 act as single bidentate O,O bridge ligands. The [PMo12O40]3− anions in 3 form the pair pattern. The AC impedance measurement results reveal 3 gives a high conductivity value over 10−3∼10−2 S ⋅ cm−1 in a wide temperature range from 25 to 100 °C under a wide relative humidity range from 35 to 98 %, while 1 and 2 give a middle conductivity value over 10−5∼10−4 S ⋅ cm−1 under the same conditions.
Polyazaacene and Cyclazaacene Precursors Synthesized by Dehydration Condensation from a Versatile Bis‐α‐diketone Unit Having an Anthracene Skeleton
Authors: Chan Yee Seng , Hayashi Hironobu , Sato Shizuka , Kasahara Shoma , Matsuo Kyohei , Aratani Naoki , Yamada Hiroko 
Published: July 2022

AbstractAzaacenes are acene analogs containing nitrogen atoms in their carbon‐based molecular skeletons and are attracting significant attention because of their potential application in organic electronics. However, polyazaacenes have solubility and stability issues. In this study, we report a modular approach employing 8,11‐dihydro‐1,4 : 8,11‐diethanopentacene‐2,3,9,10(1H,4H)‐tetraone (1) as a key compound for π‐extension with commercially available materials to synthesize a series of polytetraazaacene thermal precursors. Exploiting this strategy, tetraazaheptacene, tetraazanonacene, and tetraazaundecacene precursors were successfully synthesized. Thermogravimetric analysis revealed that the tetraazanonacene precursor can be converted to its corresponding tetraazanonacene in a nitrogen atmosphere. To extend the applicability of this method, compound1was also used to synthesize the cyclazaacene precursor at 0.8 % yield. This approach provides a new perspective for exploring the synthesis of polyazaacene and cyclazaacene precursors by using a crucial key compound via dehydration condensation reactions.
Visible‐Light‐Mediated Photocatalytic Synthesis of 2‐Substituted Oxazole‐5‐carbaldehydes Promoted by Benzeneseleninic Acid
Authors: Abenante Laura , Quadros Gabriela Trisch , Perin Gelson , Santi Claudio , Penteado Filipe , Lenardão Eder João 
Published: July 2022

AbstractBenzeneseleninic acid was used under visible light irradiation (white LEDs) to promote the oxidative cyclization of N‐propargyl amides to the respective 2‐substituted oxazole‐5‐carbaldehydes. A total of twelve 2‐aryl oxazole‐5‐carbaldehydes, six of them so far unprecedented, were prepared in 30–90 % yield in just 1 hour of reaction at room temperature. No metal catalysts, nor strong oxidants or heating were necessary, making this a mild method to access a valuable class of compounds. The only co‐products are water and diphenyl diselenide, that can be recovered and converted to new benzeneseleninic acid for a new reaction.
Performance enhancement of constructed wetlands for wastewater remediation by modifications and integration of technologies: A review
Authors: Patyal Vandana , Jaspal Dipika , Khare Kanchan 
Published: July 2022

AbstractConstructed wetland (CW) has gained popularity as an eco‐friendly technology for ease of operation and maintenance. This article critically reviews and summarizes the research carried out to date on several approaches for integration of CW with other methods of treatment, exploring several novel modes of operation and factors, to improve the remediation capacity of the CW system. The study shows that the use of different modes of aeration, recirculation of the effluent, hydraulic retention time, and organic loading rate not only improves the removal efficiency of the treatment system but also helps in reducing the surface area required for the system in the treatment of emerging contaminants. The integrated approach analysis gives an insight into the different technologies, which can be coupled with CW for fast, sustainable, and eco‐efficient treatment systems for different types of wastewater. Anaerobic technologies and microbial fuel cell (MFC) have the added advantage of energy generation apart from wastewater treatment, which helps in reducing carbon footprints. Optimization of pollutant treatment in wastewater and electricity generation by CW‐MFC has emerged to be an upcoming area of research. The study disseminates knowledge about the latest developments in the field of intensified CW technology with a focus on modifications and integrated systems, which help in identifying the potential areas of research worth addressing in the future.
Seismic reliability assessment of bridge networks considering travel time and connectivity reliabilities
Authors: Chen Mengdie , Mangalathu Sujith , Jeon Jong‐Su 
Published: July 2022

AbstractTransportation networks play a vital role in transporting goods and casualties immediately after an earthquake. Thus, identifying the most reliable and shortest path is critical for ensuring efficient emergency response and recovery after an earthquake; consequently, it is important to compute the reliability of transportation networks by simultaneously accounting for connectivity and travel time. In this regard, this paper proposes a novel seismic reliability indicator termed as the travel time and connectivity reliability (TTCR), which combines the travel time and connectivity reliabilities. Additionally, a novel framework for computing theTTCRof transportation networks is proposed. The proposed methodology is applied to a bridge network in California. Furthermore, a retrofit plan based on theTTCRis proposed to help risk managers make appropriate and timely decisions for reducing the seismic risk of transportation networks.
Bioaccumulation Screening of Neutral Hydrophobic Organic Chemicals in Air-Breathing Organisms Using In Vitro Rat Liver S9 Biotransformation Assays
Authors: Lee Yung-Shan , Cole Talia R. , Jhutty Manpreet S. , Cantu Mark A. , Chee Beatrice , Stelmaschuk Stephanie C. , Gobas Frank A. P. C. 
Published: July 2022

Abstract
To advance methods for bioaccumulation assessment of organic substances in air-breathing organisms, the present study developed an in vitro approach for screening neutral hydrophobic organic substances for their bioaccumulation potential in air-breathing organisms consisting of (1) depletion assays for chemicals in rat liver S9 subcellular fractions, (2) in vitro–in vivo extrapolation, and (3) whole-organism bioaccumulation modeling to assess the biomagnification potential of neutral organic substances in the rat. Testing of the in vitro method on 14 test chemicals of potentially biomagnifying substances showed that the bioassays could be conducted with a high level of reproducibility and that in vitro–derived elimination rate constants were in good agreement with in vivo–determined elimination rate constants in the rat. Exploring the potential of the in vitro approach for screening organic chemicals for bioaccumulation in air-breathing organisms indicated that chemical substances that exhibit a depletion rate constant in the S9 in vitro bioassay ≥0.3 h−1 are not expected to biomagnify in rats independent of their octanol–water partitioning coefficient (KOW) or octanol–air partitioning coefficient (KOA). The high level of reproducibility achieved in the test, combined with the good agreement between in vitro–derived and in vivo–determined depuration rates, suggests that the in vitro approach in combination with a KOA- and KOW-based screening approach has good potential for screening chemicals in commerce for their bioaccumulation potential in air-breathing organisms in a cost-effective and expedient manner, especially if the bioassay can be automated. Environ Toxicol Chem 2022;41:2565–2579. © 2022 SETAC
The role of textual analysis in oil futures price forecasting based on machine learning approach
Authors: Gong Xu , Guan Keqin , Chen Qiyang 
Published: July 2022

AbstractThis paper offers an innovative approach to capture the trend of oil futures prices based on the text‐based news. By adopting natural language processing techniques, the text features obtained from online oil news catch more hidden information, improving the forecasting accuracy of oil futures prices. We find that the textual features are complementary in improving forecasting performance, both for LightGBM and benchmark models. Besides, event studies verify the asymmetric impact of positive and negative emotional shocks on oil futures prices. The generated text‐based news features robustly reduce forecasting errors, and the reduction can be maximized by incorporating all features.
The Early Permian assembly of the Jiamusi Massif and Khanka Massif: Evidence from sediment sources
Authors: Xu Zhong Jie , Sun Ning Chen , Zhou Jian Bo , Kong Jin Tao , Cheng Ri Hui , Li Zhang 
Published: July 2022

The Jiamusi‐Khanka Massif is an important tectonic unit of the Central Asian Orogenic Belt in North‐east China. Its Late Palaeozoic tectonic properties and the timing of assembly have restricted the understanding of the tectonic evolution process at the eastern segment of the Central Asian Orogenic Belt for a long time. Based on the study of clastic rock petrology and zircon U–Pb chronology of the Early Permian Erlongshan Formation in Mishan, it is clear that the zircon age of the Early Permian Erlongshan Formation in Mishan is mainly Late Palaeozoic, with a major age peak at 300 ± 3 Ma and secondary age peaks at 356 ± 7 Ma and 475 ± 10 Ma. The provenance mainly comes from the magmatic arc source area, and Early Palaeozoic (500–420 Ma) detrital zircons mainly come from the south‐east margin of Jiamusi Massif, Late Palaeozoic (400–270 Ma) detrital zircons mainly come from the eastern margin of Jiamusi Massif and the northern margin of Khanka Massif. Among them, detrital zircons of a special age group 330–310 Ma come from the north of Khanka Massif, while 490–470 Ma detrital zircons which are common in the Early‐Middle Permian strata of Khanka Massif come from Jiamusi Massif. Combined with the evidence of petrology and palaeontology, this paper believes that the Early Permian Jiamusi Massif and Khanka Massif should be a unified Massif, that is, Jiamusi‐Khanka Massif.
Effects of an essential amino acid mixture on behavioral and psychological symptoms of dementia and executive function in patients with Alzheimer's disease: A double‐blind, randomized, placebo‐controlled exploratory clinical trial
Authors: Takada Michihiro , Tanaka Shin , Tanaka Koh , Tsukie Tamao , Tsukamoto‐Yasui Masako , Suzuki Katsuya , Noguchi Yasushi , Imaizumi Akira , Ishii Makoto , Ikeuchi Takeshi 
Published: July 2022

AbstractBackgroundThe increasing number of dementia patients has become a global social problem. Amino acids are known to be used as precursors of neurotransmitters in the brain. Amino acid mixtures as a supplement may be used as a solution to Alzheimer's symptoms. This exploratory study evaluated the efficacy and safety of a mixture containing nine essential amino acids on behavioral and psychological symptoms of dementia (BPSD) and cognitive function in patients with Alzheimer's disease (AD).DesignWe conducted a double‐blind, randomized, placebo‐controlled trial to evaluate the intervention effects of nine essential amino acid mixture for 28 days. A total of 36 patients with AD were enrolled in Japan. BPSD and cognitive function were evaluated by the Neuropsychiatric Inventory‐12 item (NPI‐12; the primary endpoint), Mini‐Mental State Examination (MMSE), Trail Making Test A (TMT‐A), Trail Making Test B (TMT‐B), Frontal Assessment Battery (FAB), and Clinical Dementia Rating Scale (CDR).ResultsCompared with placebo, the amino acid mixture did not improve NPI‐12, MMSE, TMT‐A and B or CDR scores. However, the analysis of covariance revealed improved FAB scores in the amino acid mixture group as a secondary endpoint. There were four subjects with adverse events in each group.ConclusionsOur results did not show a beneficial effect of the mixture containing nine essential amino acids on BPSD as a primary endpoint; however, it may improve executive function in patients with AD.
Brain microstructural alterations of depression in Parkinson's disease: A systematic review of diffusion tensor imaging studies
Authors: Salehi Mohammad Amin , Mohammadi Soheil , Gouravani Mahdi , Javidi Arian , Dager Stephen R. 
Published: July 2022

AbstractDepression, a leading cause of disability worldwide, is also the most prevalent psychiatric problem among Parkinson disease patients. Both depression and Parkinson disease are associated with microstructural anomalies in the brain. Diffusion tensor imaging techniques have been developed to characterize the abnormalities in cerebral tissue. We included 11 studies investigating brain microstructural abnormalities in depressed Parkinson's disease patients. The included studies found alterations to essential brain structural networks, including impaired network integrity for specific cortical regions, such as the temporal and frontal cortices. Additionally, findings indicate that microstructural changes in specific limbic structures, such as the prefronto‐temporal regions and connecting white matter pathways, are altered in depressed Parkinson's disease compared to non‐depressed Parkinson's disease and healthy controls. There remain inconsistencies between studies reporting DTI measures and depression severity in Parkinson disease participants. Additional research evaluating underlying neurobiological relationships between major depression, depressed Parkinson's disease, and non‐depressed Parkinson's disease is required to disentangle further mechanisms that underlie depression and related somatic symptoms, in Parkinson disease.
Multimodal fusion analysis of functional, cerebrovascular and structural neuroimaging in healthy aging subjects
Authors: Liu Xulin , Tyler Lorraine K. ,   Cam‐CAN, Rowe James B. , Tsvetanov Kamen A. 
Published: July 2022

AbstractBrain aging is a complex process that requires a multimodal approach. Neuroimaging can provide insights into brain morphology, functional organization, and vascular dynamics. However, most neuroimaging studies of aging have focused on each imaging modality separately, limiting the understanding of interrelations between processes identified by different modalities and their relevance to cognitive decline in aging. Here, we used a data‐driven multimodal approach, linked independent component analysis (ICA), to jointly analyze magnetic resonance imaging (MRI) of grey matter volume, cerebrovascular, and functional network topographies in relation to measures of fluid intelligence. Neuroimaging and cognitive data from the Cambridge Centre for Ageing and Neuroscience study were used, with healthy participants aged 18–88 years (main dataset n = 215 and secondary dataset n = 433). Using linked ICA, functional network activities were characterized in independent components but not captured in the same component as structural and cerebrovascular patterns. Split‐sample (n = 108/107) and out‐of‐sample (n = 433) validation analyses using linked ICA were also performed. Global grey matter volume with regional cerebrovascular changes and the right frontoparietal network activity were correlated with age‐related and individual differences in fluid intelligence. This study presents the insights from linked ICA to bring together measurements from multiple imaging modalities, with independent and additive information. We propose that integrating multiple neuroimaging modalities allows better characterization of brain pattern variability and changes associated with healthy aging.