bluuebunny/crossref_metadata_2025_split huggingface dataset:
MrFeed Pro50 FF supplementation improves growth of Largemouth Bass fed a diet containing 160-g/kg fish meal
Authors: Wang Li , Chen Zimo , Yu Anlan , Wang Yan , Barrows Frederick T. 
Published: October 2024

Abstract

Objective
This study aimed at evaluating the role of a novel commercial product, MrFeed Pro50 FF (MP50), as a functional ingredient with which to formulate low-fish-meal diets for Largemouth Bass Micropterus nigricans.

Methods
Seven test diets were examined. A reference diet (RD) contained 400-g/kg fish meal, and a control diet (C) was formulated by replacing 60% of the fish meal in RD with poultry by-product meal. The other five diets were formulated by adding MP50 to C at 5.0 (D50), 7.5 (D75), 10.0 (D100), 12.5 (D125), or 15.0 (D150) g/kg. Fish (initial body weight = 9.2 ± 0.1 g) were fed the test diets for 8 weeks.

Result
The MP50 supplementation level significantly affected weight gain, final body weight, carbon retention efficiency, energy retention efficiency (ERE), hepatosomatic index (HSI), viscerosomatic index (VSI), the ratio of fish meal consumption to fish production (RCP), and carbon waste. The weight gain of fish fed D50, D75, and D100 was greater than that of fish fed C and D150. The ERE was greater in fish fed D50 and D100 than in fish fed C and D75. The HSI and VSI were greater and nitrogen and carbon wastes were lower for fish fed D50 and D100 than in fish fed C. Fish fed D50, D75, and D100 exhibited greater weight gain and lower RCP values compared with fish fed RD. The weight gain of fish fed RD did not significantly differ from the weight gain of fish fed C, D125, and D150, confirming that the minimum fish meal level could be reduced to 160 g/kg.

Conclusion
This study indicates that MP50 at 5.0–10.0 g/kg can be used as a functional ingredient in low-fish-meal diets for Largemouth Bass.
Automated detection of motion artifacts in brain MR images using deep learning
Authors: Manso Jimeno Marina , Ravi Keerthi Sravan , Fung Maggie , Oyekunle Dotun , Ogbole Godwin , Vaughan John Thomas , Geethanath Sairam 
Published: October 2024

AbstractQuality assessment, including inspecting the images for artifacts, is a critical step during magnetic resonance imaging (MRI) data acquisition to ensure data quality and downstream analysis or interpretation success. This study demonstrates a deep learning (DL) model to detect rigid motion in T1‐weighted brain images. We leveraged a 2D convolutional neural network (CNN) trained on motion‐synthesized data for three‐class classification and tested it on publicly available retrospective and prospective datasets. Grad‐CAM heatmaps enabled the identification of failure modes and provided an interpretation of the model's results. The model achieved average precision and recall metrics of 85% and 80% on six motion‐simulated retrospective datasets. Additionally, the model's classifications on the prospective dataset showed 93% agreement with the labeling of a radiologist a strong inverse correlation (−0.84) compared to average edge strength, an image quality metric indicative of motion. This model is aimed at inline automatic detection of motion artifacts, accelerating part of the time‐consuming quality assessment (QA) process and augmenting expertise on‐site, particularly relevant in low‐resource settings where local MR knowledge is scarce.
Structural Variety in Transition Metal Complexes of Tripodal Ligands Containing Mixed Quinolyl and Pyridyl Donors
Authors: Carr Bronte , Christopher Timothy D. , Söhnel Tilo , Gahan Lawrence R. , Fleming Cassandra L. , Blackman Allan G. 
Published: October 2024

AbstractThe syntheses of the tripodal tetraamine ligands 2‐(pyridin‐2‐yl)‐N,N‐bis(quinolin‐2‐ylmethyl)ethan‐1‐amine (DQPEA), N‐(pyridin‐2‐ylmethyl)‐2‐(quinolin‐2‐yl)‐N‐(2‐(quinolin‐2‐yl)ethyl)ethan‐1‐amine (DQEPMA), 2‐(pyridin‐2‐yl)‐N,N‐bis(2‐(quinolin‐2‐yl)ethyl)ethan‐1‐amine (DQEPEA), N,N‐bis(pyridin‐2‐ylmethyl)‐2‐(quinolin‐2‐yl)ethan‐1‐amine (QEDPMA), and 2‐(pyridin‐2‐yl)‐N‐(2‐(pyridin‐2‐yl)ethyl)‐N‐(2‐(quinolin‐2‐yl)ethyl)ethan‐1‐amine (QEDPEA) containing mixed quinolyl and pyridyl moieties are reported, with 2‐vinylquinoline being used to attach quinolylethyl arms to the aliphatic N atom. X‐ray crystal structures of [(Mn(DQPEA))2O2](ClO4)2 ⋅ (CH3CN)2, [Cu(DQPEA)NCCH3](ClO4)2, [Zn(DQPEA)NCCH3](ClO4)2, [Pd(DQEPEA)Cl]Cl ⋅ 11H2O are detailed, with four, five, and six‐coordination observed. In addition, the dimeric complex [(DPEA)Co(μ‐OH)3Co(DPEA)](ClO4)3 ⋅ 0.5H2O ⋅ MeCN containing the tridentate DPEA ligand formed by N‐dealkylation of QEDPEA is reported. Calculations suggest that the very short Co…Co distance of 2.5946(6) Å in this complex is unlikely to be due to a Co−Co bond.
Influence of carbon nanotubes on the absorption performance and mechanical behavior of basalt fiber composite materials
Authors: Wu Jiangxing , Gao Yantao , Hu Wenfeng , Lu Zan 
Published: October 2024

AbstractBasalt fibers (BF) are widely used in shipbuilding due to their excellent corrosion resistance. However, basalt fibers do not possess good electromagnetic wave absorption properties, failing to meet the stealth performance requirements of ships. Therefore, this study focuses on basalt fiber composite materials, modifying the matrix by adding different amounts of carbon nanotubes (CNTs). Carbon nanotube‐basalt fiber‐epoxy resin absorptive composite materials are prepared using Vacuum Assisted Resin Transfer Molding (VARTM) technique to investigate the influence of CNT content on the materials. Samples with added CNTs can effectively absorb electromagnetic waves in the low‐frequency range, reducing surface reflectivity. In the high‐frequency range, the impedance matching value of the samples initially increases slowly. When the CNT content reaches 1.5 wt%, at a thickness of 2.5 mm and a frequency of 9.6 GHz, the minimum reflection loss of the sample is −14.40 dB, with an effective absorption bandwidth of 0.7 GHz. Also, CNTs can enhance the mechanical properties of composite materials. With increasing CNT content, both the bending strength and tensile strength of the composite materials are improved. When the CNT content reaches 1.5 wt%, the average tensile fracture strength of the material increases by 21%, and the bending strength increases by 9%.Highlights
Enhanced low‐frequency electromagnetic wave absorption from CNTs and reduced polarization.
Improved impedance matching and attenuation at high frequencies with CNTs.
Significant enhancement in flexural and tensile strength due to CNTs and basalt fibers.
Dielectric, low‐frequency noise and mechanical properties of hybrid carbon nanotubes/graphene nanoplatelets epoxy composites
Authors: Mireckas F. , Pralgauskaitė S. , Korzhenevskaya M. , Matukas J. , Plyushch A. , Banys J. , Selskis A. , Macutkevič J. , Bleija M. , Platnieks O. , Gaidukovs S. 
Published: October 2024

AbstractThis study analyzes the electrical, microwave (26–37 GHz), low‐frequency (20 Hz–10 kHz) noise, and mechanical properties of epoxy hybrid composites filled with multi‐walled carbon nanotubes (MWCNT) and graphene nanoplatelets (GNP). The system's percolation threshold was around 0.25 vol.% MWCNT, while the electromagnetic properties were almost independent of GNP concentration. The composites are shown to be suitable for electromagnetic shielding in the 26–37 GHz range, with microwave absorption increasing as the total nanocarbon concentration rises. The electrical transport in these composites is governed by one‐dimensional Mott hopping at low temperatures (below 245 K) and redistribution effects above room temperature. The low‐frequency voltage noise spectra of the composites are predominant of the 1/f component, with noise spectral density proportional to Ub, where the exponent b is close to 2, indicating noise caused by resistance fluctuations. The optimal electromagnetic properties are near 0.5 vol.% MWCNT and 0.25 vol.% GNP concentrations. The tensile elastic modulus and yield strength showed the highest increases at 0.25/0.25 loading, with gains of 40.43% and 16.77%, respectively, compared to neat epoxy. Fracture toughness and energy release rate increased with adding 0.25 vol.% GNP, while Charpy impact strength improved with higher MWCNT loading.Highlights
Percolation threshold in hybrid MWCNT/GNP composites is close to 0.25 vol.% MWCNT
Low‐frequency voltage noise spectra of the composites are 1/f type
Quasi static and dynamic energy absorption characteristics of silicon carbide reinforced resin based on triply periodic minimal surface structures
Authors: Xu Sanqiang , Xu Wang , Tang Danna 
Published: October 2024

AbstractSilicon carbide (SiC)‐resin composites with porous structures exhibit excellent energy absorption characteristics. In this study, three types of triply periodic minimal surface (TPMS) structures (Schwarz primitive, Schwarz diamond, and Schwarz I‐graph‐wrapped (IWP)) were fabricated using the digital light processing (DLP) technique. Under static compression, the TPMS structures mainly fracture at the four ends of the X crossband. The SiC‐reinforced resin exhibited superior specific energy absorption in quasistatic compression performance compared with the same structure constructed of metal at the same density. Moreover, the transient impacts under dynamic strain rates did not cause significant irregular or asymmetric shear damage to the structure. The dynamic energy absorption of SiC‐reinforced resin with a primitive structure was relatively superior to that of the IWP and diamond structures. Therefore, the TPMS structure of the 5 wt.% SiC‐resin composite possesses significant energy absorption characteristics and can be extended for applications in aerospace.Highlights
SiC reinforced resin exhibits superior specific absorption energy in quasi‐static compression performance.
The yield strength of the static compression of the primitive structure is averaging nearly 17 MPa.
The dynamic energy absorption of SiC reinforced resin with primitive structure is relatively superior between 65.68 and 71.63 J/g.
The TPMS structure of 5 wt.% SiC/resin possesses significant energy absorption characteristics.
Mindfulness affected post‐traumatic stress symptoms and post‐traumatic growth: Adaptive and maladaptive sides through trauma‐related shame and guilt
Authors: Chen Dongzheng , Wang Peizhong , Liu Luming , Wu Xinchun , Wang Wenchao 
Published: October 2024

AbstractMindfulness plays an important role in reducing post‐traumatic stress symptoms (PTSS) and promoting posttraumatic growth (PTG) among traumatized populations. However, the mechanism at the emotional level has not been fully examined. Thus, we aimed to investigate the possible mediating roles of trauma‐related shame and guilt. A total of 814 college students (Mage = 19.55, SD = 1.89) with traumatic experiences in China were recruited. Traumatic experiences, mindfulness, trauma‐related shame, and trauma‐related guilt were assessed in the first survey. Six months later, PTSS and PTG were assessed in the second survey. Structural equation modeling (SEM) analysis indicated that mindfulness was associated with less PTSS through shame and guilt. However, though directly associated with more PTG, mindfulness could also negatively predict PTG by evoking less guilt. Mindfulness can be a way to cope with traumatic experiences and related psychological consequences. However, although mindfulness can reduce PTSS by suppressing negative trauma‐related shame and guilt, it can also limit the realization of PTG by inhibiting the adaptive sides of these emotions.
The Association of Prenatal Alcohol Exposure With Brain Development During the First 1000 Days of Life: A Systematic Review
Authors: Pielage Marin , Rousian Melek , van Heteren Sem , Groenenberg Irene A. L. , Hillegers Manon H. J. , Steegers Eric A. P. , Marroun Hanan El 
Published: October 2024

ABSTRACTPrenatal exposure to alcohol (PAE) can impact short‐ and long‐term offspring health. However, knowledge on PAE and brain development in early life is limited. This systematic review investigated associations between PAE and brain development during the first 1000 days of life, and was registered in PROSPERO at CRD42022355144. The literature search was performed from inception until February 2024 in EMBASE, MEDLINE, Web of Science, PsycINFO, and the Cochrane Library. Studies investigating PAE and brain development during the first 1000 days using ultrasound, magnetic resonance imaging (MRI) or diffusion tensor imaging (DTI) were included. Our search initially identified 3618 articles, of which 16 were included. The findings suggest inconsistent associations between PAE and early brain development. Ultrasound studies on PAE and brain size report no clear relationship. Some postnatal MRI studies reported smaller thalami, amygdalae and hippocampi in alcohol exposed neonates. Postnatal DTI studies (n = 5) examining network integrity and connectivity reported bidirectional results in multiple brain networks. Our results highlight the need for further research on first trimester brain development, timing and quantity of alcohol exposure using a core set of validated instruments. Longitudinal assessments and standardized procedures for neuroimaging are crucial to understand the impact of PAE on early brain development.
Improvement of Visual Hallucinations With Donepezil in Charles Bonnet Syndrome Secondary to Vascular Pathology
Authors: Farooq Humza , Malik Nauman 
Published: October 2024

ABSTRACTThere is a lack of high‐quality evidence for pharmacological treatment options for Charles Bonnet syndrome and guidelines do not recommend any particular pharmacological option. Here, a case is presented of an older age male who developed complex visual hallucinations following stroke and central retinal artery occlusion (one after the other leading to loss of vision in both eyes), thus indicative of CBS secondary to vascular pathology. This case demonstrates a sustained progressive improvement in hallucinations in CBS following the initiation of acetylcholinesterase inhibitor, donepezil.
Composition of Sodium Alginate Films Containing Copper Oxide Nanoparticles Synthesized Using Aqueous Extract of Turnera subulata Sm and Evaluation of Their Healing Potential In Vivo
Authors: Alves Batista Felipe , Raulino Maia Maria Luiza , Martins Maia Filho Antônio Luiz , Filgueiras Lívia Alves , Figueredo‐Silva José , de Araujo‐Nobre Alyne Rodrigues , Mendes Anderson Nogueira 
Published: October 2024

ABSTRACTSodium alginate is used in wound care because of its hydrogel‐forming properties and ability to protect the wound. Copper nanoparticles have properties that inhibit the growth of microorganisms and mediate the production of essential biomolecules for the healing process, making them an excellent choice for constructing nanocomposites for wound treatment. This work aimed to synthesize copper nanoparticles using an aqueous extract of Turnera subulata Sm. and incorporate them into sodium alginate to obtain films with healing potential. The proposed system was characterized by ultraviolet–visible spectroscopy (UV–vis), Fourier‐transform infrared (FTIR), dynamic light scattering (DLS), atomic force microscopy (AFM), x‐ray crystallography, and biocompatibility verified by hemolysis test. The UV–vis analysis showed that CuO NPs absorb at 280 and 404 nm. The FTIR spectra revealed stretching and folding modes of the functional groups present in the aqueous extract of T. subulata responsible for the reduction/stabilization of the copper ion, as well as signals at 780 and 618 cm−1 originating from the CuO bond. Size estimation using DLS revealed 564.5 and 394.2 nm. AFM data showed that adding copper oxide nanoparticles (CuO NPs) changed alginate roughness, and surface imaging revealed a material with a uniform appearance. The hemolysis test showed hemocompatibility of CuO NPs at all tested concentrations. Histology showed that CuONP‐loaded alginate films accelerated the healing process.
Validity and Reliability of a Simplified Chinese Version of Cancer Survivors' Unmet Needs Scale (CaSUN)
Authors: Xu Xiaojingyuan , Liang Xiaoyun , Yin Shiquan 
Published: October 2024

ABSTRACTObjectiveTo translate Cancer Survivors' Unmet Needs scale (CaSUN) into Simplified Chinese, and to assess the validity and reliability of this translated version among Chinese cancer survivors.MethodsFollowing the cross‐cultural adaptation guidelines, the original CaSUN scale was translated from English into Simplified Chinese. To enhance the readability and comprehension of each item, a pilot study involving 40 cancer patients was carried out. Subsequently, 324 cancer survivors participating in follow‐up appointments at a cancer hospital in Beijing, China completed the Simplified Chinese version of the CaSUN. The scale's validity was assessed through factor analysis. Indices including Satorra–Bentler scaled chi‐square to degree of freedom ratio (χ2/df), comparative fit index (CFI), root mean square error of approximation (RMSEA), and standardized root mean squared residual (SRMR) were employed for construct validity. Average variance extracted (AVE) of each category reflected the convergent validity. Reliability was confirmed with both Cronbach'sαand Guttman split‐half coefficient.ResultsFactor analysis suggested that a three‐level hierarchical structure of the CaSUN with four first‐order factors, nine second‐order factors and all the 35 items assessing unmet need could fit our data well (χ2/df = 2.833, CFI = 0.902, RMSEA = 0.076, SRMR = 0.066), indicating sufficient construct validity for this model. For convergent validity, AVE of each second‐order category were greater than 0.5. Regarding reliability, Cronbach'sαof the 35 items was 0.968, and the Guttman split‐half coefficient was 0.984. Both of these coefficients were higher than 0.8.ConclusionsThe present Simplified Chinese version of CaSUN had good cultural adaptability, appropriate validity and reliability for assessing unmet needs in different cancer survivor groups in Chinese mainland. This Simplified Chinese version of CaSUN can assist health professionals in addressing individual survivor needs and bridge the gap between patients' experiences and their expectations, thereby improving the quality of cancer survivorship care.
dUTP pyrophosphatases from hyperthermophilic eubacterium and archaeon: Structural and functional examinations on the suitability for PCR application
Authors: Fukui Kenji , Kondo Naoyuki , Murakawa Takeshi , Baba Seiki , Kumasaka Takashi , Yano Takato 
Published: October 2024

AbstractDeoxyuridine triphosphate pyrophosphatase (DUT) suppresses incorporation of uracil into genomic DNA during replication. Thermostable DUTs from hyperthermophilic archaea such as Thermococcus pacificus enhance PCR amplification by preventing misincorporation of dUTP generated by spontaneous deamination of dCTP. However, it is necessary to elucidate whether DUTs do not cause dNTP imbalances during PCR by unwanted side activity. Moreover, it has been unknown what structural features define the thermostability of those DUTs. Here, DUT from a hyperthermophilic eubacterium, Aquifex aeolicus (Aa‐DUT), was characterized together with those from T. pacificus (Tp‐DUT). Aa‐DUT was as thermostable as Tp‐DUT up to at least 95°C. The crystal structures of the two thermostable enzymes were determined, which revealed that the structures of Aa‐DUT and Tp‐DUT resembled those of monofunctional and bifunctional DUTs, respectively. Generally, bifunctional DUTs harbor the dCTP deaminase activity in addition to the DUT activity. However, not only Aa‐DUT but also Tp‐DUT showed poor activity towards dCTP, indicating both enzymes are monofunctional. We further examined eight types of parameters related to thermostability of protein structure and found that the thermostability of Aa‐DUT and Tp‐DUT might be accomplished by increased numbers of ion pairs on the protein surface. Finally, we verified that Aa‐DUT promoted PCR amplification with Pfu DNA polymerase to the same extent as Tp‐DUT. Collectively, we conclude that both DUTs from hyperthermophiles maintain the enzymatic activity at high temperatures without consuming dCTP due to the lack of the deaminate activity.
Initiation of prefrontal convection within a Northeast China cold vortex: The roles of elevated front and dry air intrusion
Authors: Fan Ziqi , Xue Ming , Zhu Kefeng , Wang Hong , Yao Dan 
Published: October 2024

AbstractConvective initiation ahead of a surface cold front within the Northeast China cold vortex of June 1, 2021, is investigated using observations and a convection‐permitting simulation. The initiation of the convection is elevated without identifiable surface mesoscale forcing. Air feeding the initial convective cells originates from at least 1 km above the ground where parcel‐based convective available potential energy is sufficiently large. An elevated front with large equivalent potential temperature gradient and flow convergence across is primarily responsible for the initiation of elevated convection and later organization into a deep convective line. The elevated front is similar to the upper cold front within extratropic cyclones studied elsewhere, but its altitude is lower in this case. Backward‐trajectory analysis of air parcels on the cold side of the elevated front shows that dry air intrusion reinforces the elevated front by increasing the equivalent potential temperature gradient and moment convergence across the front. The convergence forcing combined with access to convective unstable air at the leading edge of the westerly flows east of the elevated front causes the initiation of convection. The development and spreading of a surface cold pool help push the convective line eastward away from the surface cold front located to the west. Orographic gravity waves provide additional forcing so that convection cells are initiated first at the upward branches of the gravity waves, but the overall organization of initial cells into a solid convective line is controlled mainly by mesoscale structures associated with the elevated front.
Fast Iterative Sample Transfer Identification Method for Dynamic Systems Under Non‐identical Distribution
Authors: Huang Yan , Luan Xiaoli , Ping Xiaojing , Ding Feng , Liu Fei 
Published: October 2024

ABSTRACTThis paper proposes a method to improve the identification performance of linear dynamic systems by utilizing knowledge from samples of non‐identical distribution systems. Traditional identification methods heavily rely on the quality of the dataset, such as sample length and noise level, which constrains their performance due to the assumption of identical distribution. Motivated by the concept of sample‐based transfer learning, we propose a sample transfer identification method and derive the condition to avoid negative transfer. We develop a fast iterative transfer identification method for low storage costs, considering the computational burden imposed by the sample size from the source system. Additionally, based on the fast iterative transfer identification method, considering the need to update the current measurement data model in real time, a fast iterative online sample transfer identification method is explored. Through simulations, we validate the effectiveness and superiority of the proposed methods. The results show that sample transfer identification is superior to non‐transfer identification and fast iterative sample transfer identification effectively reduces the calculation amount when dealing with low quality measurement data.