bluuebunny/crossref_metadata_2025_split huggingface dataset:
Controllilg Earth Quake Induced Torsional Irregularity and Lateral Displacement of Rc Building with Shear Wall
Authors: Banerjee Rajiv , Parashar Arun , Gupta Nakul , Srivas J. B. 
Published: May 2023

Abstract
Buildings with shear walls have substantially less sway in the direction of their orientation, which results in significantly less damage to the building. Additionally, shear walls keep the roof or floor from swaying to and from by providing lateral stiffness. Walls may be particularly effective in resisting lateral stresses from wind and earthquakes when they are placed in strategic locations within a building. In this study, we model and analyse the building with varying shear wall positions using ETAB Ver. 0.2 in an effort to discover the optimal site of the shear wall in an asymmetric, irregular, star-shaped G + 14 building in zone IV. Two models, one with a shear wall and one without, have been analysed. The bare frame model has been compared to analytical results for top story displacement, base shear, time period, static eccentricity, story drift, and torsional moment.
Pulsed Laser Ablation of Polymer-based Magnetic Nanocomposites for Oil Spill Remediation
Authors: Gera Tamás , Kondász Bence , Smausz Tomi , Kopniczky Judit , Szabó-Révész Piroska , Ambrus Rita , Hopp Béla , Csóka Ildikó 
Published: May 2023

Abstract
Oil spills pose a significant threat to marine life and finding cost-effective and environmentally friendly solutions is crucial. In this study, pulsed laser ablation (PLA) was applied to produce polymer-based magnetic nanocomposites for oil spill remediation. The selected polymers (polyvinylpyrrolidone, chitosan, and methyl cellulose) are known for their adsorptive removal of polluting residues from various oil species. PLA was performed on pressed tablets containing magnetite nanoparticles (NPs) and polymers, and the generated particles were collected using an external magnetic field. The chemical composition of the ablated products was analyzed using Fourier-transform infrared (FTIR) and Raman spectroscopy, while particle sizes were measured using Leica Image Processing and Analysis System. The study demonstrated that PLA is a single-step, green, and efficient technique for preparing magnetic nanocomposites for oil spill treatment. The average particle size of the composites was in the 1.5–4 µm range, considerably smaller than the initial size of the corresponding polymer. The oil/water separation process using these composites was demonstrated, with separation occurring ~ 1 s after applying the magnetic field. These findings suggest that PLA-generated magnetic nanocomposites have significant potential for oil spill remediation applications.
Hydraulic conductivity of the polymer modified bentonite -sand- phosphogypsum (PMB-S-PG) mixture under drying-wetting and freezing-thawing cycles
Authors: Yang Wei , Song Muyuan , Liu Xueying , Chen Wei 
Published: May 2023

Abstract
To improve the multi-path and multi-field exploitation of phosphogypsum (PG), a polymer modified bentonite-sand-phosphogypsum mixture is developed for application in anti-seepage of PG slag fields and roadbeds. In this research, the SEM tests, FSI tests, and hydraulic conductivity tests under different conditions are carried out. The PMB has a superior swell index (72 ml/2g) in water, but the PMB-S-PG0.5 mixture’s swell index is low (5.8 ml/2g) in water because the acidic PG. The SEM tests reveal that the PMB-S-PG0.5 mixture forms a dense honeycomb structure which can complicate the seepage channels and maintain the low hydraulic conductivity. Thus, the swell index is not an accurate indicator to hydraulic conductivity. The honeycomb structure in the PMB-S-PG0.5 mixture has elasticity, strength, and isotropy; it can effectively resist the effects of DW and FT cycles. During the DW cycles. The PMB-S-PG0.5 mixture has lower degree of crack development, superior crack self-healing properties and more tortuous seepage channels, resulting in lower hydraulic conductivity (4.14×10− 10 m/s) compared to the RB-S-PG0.5 mixture (6.90×10− 9 m/s) after 9 DW cycles. Due to the finer particles, the lower number of ice lenses, and the more seepage channels in PMB-S-PG0.5 mixture, the degree of ice nucleation in the PMB-S-PG0.5 mixture is lower than in the RB-S-PG0.5 mixture during the FT cycles. The PMB-S-PG0.5 mixture’s hydraulic conductivity was lower (9.72×10− 11 m/s) compared to the RB-S-PG0.5 mixture (3.26×10− 9 m/s) after 9 FT cycles. That is, the PMB-S-PG0.5 mixture is expected to be widely used to enable the resource reuse of PG.
A genome-wide survey of cnidarian Gcm-dependent genes suggests a neuronal origin of glial function
Authors: Sheloukhova Larisa , Watanabe Hiroshi 
Published: May 2023

Abstract
In bilaterian central nervous systems, coordination of neurotransmission by glial cells enables highly sophisticated neural functions. However, it is unclear when glial cells became functional in metazoan evolution. Because cnidarians are the closest outgroup to the Bilateria, we analyzed the function of glial cells missing (Gcm), the core bilaterian gliogenic transcription factor (TF), in the anemone, Nematostella vectensis. siRNA-mediated knockdown of Nematostella Gcm altered expression of cell adhesion proteins, glutamate and GABA transporters, ion channels, metabolic enzymes, and zinc finger and Ets-related TFs. NvGcm and mRNAs of downstream genes are expressed in broad neural cell clusters. However, immunostaining of a NvGcm target protein, the glutamate transporter, NvEAAT1, visualized a novel class of neural cells with flat cell bodies and no clear neurite processes. Our study showed that Gcm drives expression of a glial gene set in N. vectensis, indicating that the evolutionarily conserved gliogenic program functions in cnidarian neurons. Together with the finding of unique morphological features of NvEAAT1-functioning cells, these data suggest that major glial functions, including extracellular glutamate metabolism, were already deployed downstream of Gcm in pre-bilaterian nervous systems.
A Novel Method for Solving Universum Twin Bounded Support Vector Machine in the Primal Space
Authors: Moosaei Hossein , Khosravi Saeed , Bazikar Fatemeh , Hladík Milan , Guarracino Mario Rosario 
Published: May 2023

Abstract
In supervised learning, the Universum, a third class that is not a part of either class in the classification task, has proven to be useful. In this study we propose (NUTBSVM), a Newton-based approach for solving in the primal space the
optimization problems related to Twin Bounded Support Vector Machines with Universum data (UTBSVM). In the UTBSVM, the constrained programming problems of UTBSVM are converted into unconstrained optimization problems, and a generalization of Newton's method for solving the unconstrained problems is introduced. Numerical experiments on synthetic, UCI, and NDC data sets show the ability and effectiveness of the proposed NUTBSVM. We apply the suggested method for gender detection from face images, and compare it with other methods.
Aberrant Brain Entropy in Posttraumatic Stress disorder Comorbid with Major Depressive Disorder during the Coronavirus Disease 2019 Pandemic
Authors: Fu Shishun , Liang Sipei , Lin Chulan , Wu Yunfan , Xie Shuangcong , Li Meng , Lei Qiang , Li Jianneng , Yu Kanghui , Yin Yi , Hua Kelei , Li Wuming , Wu Caojun , Ma Xiaofen , Jiang Guihua 
Published: May 2023

Abstract

AimPreviously, neuroimaging studies on comorbid Posttraumatic-Major depression disorder (PTSD-MDD) comorbidity found abnormalities in multiple brain regions among patients. Recent neuroimaging studies have revealed dynamic nature on human brain activity during resting state, and entropy as an indicator of dynamic regularity may provide a new perspective for studying abnormalities of brain function among PTSD-MDD patients. During the COVID-19 pandemic, there has been a significant increase in the number of patients with PTSD-MDD. We have decided to conduct research on resting-state brain functional activity of patients who developed PTSD-MDD during this period using entropy.Methods33 patients with PTSD-MDD and 36 matched TCs were recruited. PTSD and depression symptoms were assessed using multiple clinical scales. All subjects underwent functional magnetic resonance imaging (fMRI) scans. And the brain entropy (BEN) maps were calculated using the BEN mapping toolbox. A two-sample t-test was used to compare the differences in the brain entropy between the PTSD-MDD comorbidity group and TC group. Furthermore, correlation analysis was conducted between the BEN changes in patients with PTSD-MDD and clinical scales.ResultsCompared to the TCs, PTSD-MDD patients had a reduced BEN in the right middle frontal orbital gyrus (R_MFOG), left putamen, and right inferior frontal gyrus, opercular part (R_IFOG). Furthermore, a higher BEN in the R_MFOG was related to higher CAPS and HAMD-24 scores in the patients with PTSD-MDD.ConclusionThe results showed that the R_MFOG is a potential marker for showing the symptom severity of PTSD-MDD comorbidity. Consequently, PTSD-MDD may have reduced BEN in frontal and basal ganglia regions which are related to emotional dysregulation and cognitive deficits.
Microbial hitchhikers harbouring antimicrobial-resistance genes in the riverine plastisphere
Authors: Zadjelovic Vinko , Wright Robyn J. , Borsetto Chiara , Quartey Jeannelle , Cairns Tyler N. , Langille Morgan G. I. , Wellington Elizabeth M. H. , Christie-Oleza Joseph A. 
Published: May 2023

Abstract
Background
The widespread nature of plastic pollution has given rise to wide scientific and social concern regarding the capacity of these materials to serve as vectors for pathogenic bacteria and reservoirs for Antimicrobial Resistance Genes (ARG). In- and ex-situ were used to characterise the riverine plastisphere taxonomically and functionally in order to determine whether antibiotics within the water influenced the ARG profiles in these microbiomes and how these compared to those on natural surfaces such as wood and their planktonic counterparts.
Results
We show that plastics support a taxonomically distinct microbiome containing potential pathogens and ARGs. While the plastisphere was similar to those biofilms that grew on wood, they were distinct from the surrounding water microbiome. Hence, whilst potential opportunistic pathogens (i.e. Pseudomonas aeruginosa, Acinetobacter and Aeromonas) and ARG subtypes (i.e. those that confer resistance to macrolides/lincosamides, rifamycin, sulfonamides, disinfecting agents and glycopeptides) were predominant in all surface-related microbiomes, especially on weathered plastics, a completely different set of potential pathogens (i.e. Escherichia, Salmonella, Klebsiella and Streptococcus) and ARGs (i.e. aminoglycosides, tetracycline, aminocoumarin, fluoroquinolones, nitroimidazole, oxazolidinone and fosfomycin) dominated in the planktonic compartment. Our genome-centric analysis allowed the assembly of 215 Metagenome Assembled Genomes (MAGs), linking ARGs and other virulence-related genes to their host. Interestingly, a MAG belonging to Escherichia –that clearly predominated in water– harboured more ARGs and virulence factors than any other MAG, emphasising the potential virulent nature of these pathogenic-related groups. Finally, ex-situ incubations using environmentally-relevant concentrations of antibiotics increased the prevalence of their corresponding ARGs, but different riverine compartments –including plastispheres– were affected differently by each antibiotic.
Conclusions
Our results provide insights into the capacity of the riverine plastisphere to harbour a distinct set of potentially pathogenic bacteria and function as a reservoir of ARGs. The environmental impact that plastics pose if they act as a reservoir for either pathogenic bacteria or ARGs is aggravated by the persistence of plastics in the environment due to their recalcitrance and buoyancy. Nevertheless, the high similarities with microbiomes growing on natural co-occurring materials and even more worrisome microbiome observed in the surrounding water highlights the urgent need to integrate the analysis of all environmental compartments when assessing risks and exposure to pathogens and ARGs in anthropogenically-impacted ecosystems.
Life cycle of gullies: A susceptibility assessment in the Southern Main Ethiopian Rift
Authors: Belayneh Liuelsegad , Kervyn Matthieu , Gulie Guchie , Poesen Jean , Stal Cornelis , Kasaye Alemayehu , Endale Tizita , Sekajugo John , Dewitte Olivier 
Published: May 2023

Abstract
Gullies experience varying states of activity during their life cycle. For example, their highest growth rates are commonly observed in the period that follows their initiation, whereas they are less active when reaching stability. Understanding the environmental conditions under which gullies initiate, expand, and stabilize is therefore vital to mitigate their impacts. Data-driven susceptibility assessments are key approaches to understanding these conditions at the catchment scale. However, such assessments commonly focus, at best, only on one part of the problem (e.g., on the gully heads) and do not cast a critical eye on the significance of the processes they would highlight. So far, no study has attempted to explicitly model the life cycle of gullies. Here we address this research gap through modelling separately the location where new gullies initiate and where they stabilize using both gully initiation points and gully heads. More specifically, we study over 4400 active and inactive gullies in the Southern Main Ethiopian Rift. Using logistic regression models, we assess the susceptibility to gully initiation points derived from slope-drainage area (S-A) thresholds. This is then compared with the susceptibility of active or inactive gully heads at the level of four catchments considered together and separately. Highly susceptible areas for gully initiation are mainly located in rejuvenated landscapes downslope of rifting-associated knickpoints, where steep hillslopes are more recent than those of the surrounding relict landscapes. Concave slopes with a higher surface runoff concentration favour initiation of gullies. In contrast, gullies stabilize in convex slopes with a more diffusive characteristic. The resulting susceptibility models are a step towards contributing to the decisionmaking process on the optimized locations of soil and water conservation measures during several stages of the life cycle of gullies.
Implementation of a Structured Robotic Colorectal Curriculum for General Surgery Residents
Authors: Unruh Kenley , Stovall Stephanie , Chang Lily , Deal Shanley , Kaplan Jennifer , Moonka Ravi , Simianu Vlad V 
Published: May 2023

Abstract
Background
There is increasing demand for colorectal robotic training for general surgery residents. We implemented a robotic colorectal surgery curriculum expecting that it would increase resident exposure to the robotic platform and would increase the number of graduating general surgery residents obtaining a robotic equivalency certificate.
Methods
Our curriculum started in 2019 and consists of didactics, simulation, and clinical performance. Objectives are specified for both junior residents (post-graduate years [PGY]1-2) and senior residents (PGY3-5). The robotic colorectal surgical experience was characterized by comparing robotic to non-robotic operations, differences in robotic operations across post-graduate year, and percentage of graduates achieving an equivalency certificate. Robotic operations are tracked using case log annotation.
Results
From 2017-2021, 25 residents logged 681 major operations on the colorectal service (PGY1 mean = 7.6 ± 4.6, PGY4 mean = 29.7 ± 14.4, PGY5 mean = 29.8 ± 14.8). Robotic colorectal operations made up 24% of PGY1 (49% laparoscopic, 27% open), 35% of PGY4 (35% laparoscopic, 29% open) and 41% of PGY5 (44% laparoscopic, 15% open) major colorectal operations. Robotic bedside experience is primarily during PGY1 (PGY1 mean 2.0 ± 2.0 bedside operations vs 1.4 ± 1.6 and 0.2 ± 0.4 for PGY4 and 5, respectively). Most PGY4 and 5 robotic experience is on the console (PGY4 mean 9.1 ± 7.7 console operations, PGY5 mean 12.0 ± 4.8 console operations). Rates of robotic certification for graduating chief residents increased from 0% for E-2013 to 100% for E-2018.
Conclusions
Our study was limited by being retrospective and its limited ability to compare robotic experience between resident cohorts. Regardless, our robotic colorectal curriculum for general surgery residents has facilitated earlier and increased robotic experience for residents and increased robotic certification for our graduates.
Prospecting during egg laying informs incubation recess movements of eastern wild turkeys
Authors: BAKNER NICHOLAS W. , ULREY ERIN E. , COLLIER BRET A. , CHAMBERLAIN MICHAEL J. 
Published: May 2023

Abstract
Background Central place foragers must acquire resources and return to the central location after foraging bouts. During the egg laying (hereafter laying) period, females become constrained to a nesting location, and it is postulated that females familiarize themselves with resources available within their incubation ranges. Prospecting behavior allows individuals to obtain knowledge to determine profitable (e.g., resource rich) locations on the landscape.Methods Using GPS data collected from female eastern wild turkeys (Meleagris gallopavo silvestris) across the southeastern United States, we determined if prospecting behaviors were occurring during laying and what environmental factors influenced prospecting. We quantified prospecting using movements of females during incubation recesses to locations visited during laying.Results The average proportion of recess movements to previously visited locations was 56.9%. Nest fate was positively influenced by the number of patches (90-m radius buffer around a laying location) a female visited during incubation recesses. Females selected for areas closer to the nest site, secondary roads, hardwood forest, mixed pine-hardwood forest, water, and shrub/scrub, whereas they avoided pine forest and open-treeless areas.Conclusions Our findings suggest that having a diverse suite of patches available to support incubation recesses within an incubation range are impactful to nest fate. This research suggest prospecting could be important to other phenological periods during reproduction. Furthermore, research should evaluate how prospecting for brood-rearing habitat may occur prior to or during the incubation period.
Recruitment dynamics of Hiatella arctica within a high Arctic site (Young Sound Fjord, NE Greenland)
Authors: Veillard Delphine , Tremblay Réjean , Sejr Mikael K. , Chauvaud Laurent , Cam Emmanuelle , Olivier Frédéric 
Published: May 2023

Abstract
Recruitment dynamics including what determines success or failure of Arctic benthic invertebrates are poorly known despite their important role for population dynamics. The main objective of this study was to assess the potential influence of extreme seasonal/physical constraints, in particular freshwater discharge, on the recruitment of a dominant bivalve Hiatella arctica within a High Arctic fjord. We collected young recruits over several sampling periods from 2016 to 2018 at two contrasting sites (inner vs middle fjord) for 5-weeks to 12-months and measured their abundance, size at metamorphosis and lipid class composition. Young stages of H. arctica settled from June to the end of October, when trophic conditions are optimal. We hypothesize that growth stops during winter due to poor trophic conditions. Data suggest that abundance of recruits, their total lipid concentration and composition of lipid classes are similar in both sites. By contrast, analyses of size-class show differing temporal and spatial patterns with 6 cohorts detected in middle fjord and only one at the inner station, which can be attributed to discrete spawning events and possible secondary migration. Based on an assessment of their potential age, we hypothesize that spat batches recruiting earlier in the summer exhibit better growth performance probably because of higher food quality and availability.
Determination of Groundwater Potential Zone using AHP based on GIS for Konya, Türkiye
Authors: Baykal Tahsin , Taylan E. Dilek , Terzi Özlem 
Published: May 2023

Abstract
Groundwater provides most of the freshwater needs such as drinking, irrigation and industry. As a result of increasing population, urbanization and industrialization, groundwater resources are faced with the risk of decreasing and pollution. For this reason, Konya in Türkiye, having a lot of agricultural activities, was chosen as the study area. This research utilized the analytical hierarchy process (AHP), a type of multi-criteria decision-making analysis, to assess the groundwater potential in Konya, Türkiye. For this purpose, land use, slope, rainfall, topographic wetness index, drainage density, elevation, plan curvature, profile curvature and stream power index thematic maps were created, and their weights were determined with AHP. Groundwater potential map (GWPM) was produced by overlay analysis in GIS environment. The GWPM was validated by comparing it with the groundwater zones (GWZ) map given in the report of “Konya Closed Basin Management Plan” project. As a result of the validation process, the accuracy value was found to be 0.87.
An object detection method for the work of an unmanned sweeper in a noisy environment on an improved YOLO algorithm
Authors: Huo JunLiang , Shi BaiJun , Zhang YiHuai 
Published: May 2023

Abstract
Efficient and accurate object detection is crucial for the widespread use of low-cost unmanned sweepers. This paper focuses on the low-cost sweeper in practical working scenarios and proposes a traffic participant detection method based on an enhanced YOLO-v5 model. To train the model on noise knowledge, three types of noise were added to the data set based on the mathematical model's vibration response. The loss function was optimized to balance detection accuracy and real-time performance while focusing on traffic participant detection using YOLO-v5. CTDS and BFSA modules were proposed based on the attention mechanism to enhance the YOLO-v5 model. Comparative experiments demonstrated the effectiveness of the proposed method, with the enhanced YOLO-v5 model achieving a 4.5% higher mean average precision than the traditional YOLO-v5 network. Moreover, the proposed method can process images at a frame per second (FPS) of 89 while ensuring real-time performance, meeting the object detection requirements of actual sweeper.
The Cut-/Stab-Resistance of Protective Composite Textiles Reinforced with Particle Additives
Authors: Mao Lizhou , Yu Hang , Yao Lu , Shen Yue , Yan Xuefeng , Ma Yan 
Published: May 2023

Abstract
This study prepared a soft-rigid unified structure (SRUS) textile composed of inorganic powder (IP) reinforced epoxy resin block (EIPB) array and a soft textile substrate via a pattern-controllable integrated molding method. The effects of IP content and alumina particle size on the cutting and puncture resistance of the resulting SRUS textile were evaluated. The anti-puncture and anti-cutting mechanisms of the SRUS textile were assessed based on the damage morphology and process. The experimental results demonstrated a significant enhancement in the puncture and cut resistance of the SRUS textile after the addition of IP. Moreover, the cut/stab resistance of the SRUS textile increased with the increase of IP content and the size of Al2O3, and the optimal cut/stab resistance was observed at 60 mesh-50 wt.%. The maximum stab and cut resistance of the SRUS textile increased by approximately 19.2% and 62.1%, respectively, reaching the highest protection level when compared to pure SRUS textile. Additionally, the hard passivation at the EIPB and the friction self-locking at the interval were considered to be the anti-puncture mechanism of the SRUS textile, while the anti-cutting mechanism was attributed to the reverse cutting of hard particles on the blade.