bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-assembled dendrimer polyamide nanofilms with enhanced effective pore area for ion separation
Authors: Yuan Bingbing , Zhang Yuhang , Qi Pengfei , Yang Dongxiao , Hu Ping , Zhao Siheng , Zhang Kaili , Zhang Xiaozhuan , You Meng , Cui Jiabao , Jiang Juhui , Lou Xiangdong , Niu Q. Jason 
Published: January 2024

AbstractMembrane technology using well-defined pore structure can achieve high ion purity and recovery. However, fine-tuning the inner pore structure of the separation nanofilm to be uniform and enhance the effective pore area is still challenging. Here, we report dendrimers with different peripheral groups that preferentially self-assemble in aqueous-phase amine solution to facilitate the formation of polyamide nanofilms with a well-defined effective pore range and uniform pore structure. The high permeabilities are maintained by forming asymmetric hollow nanostripe nanofilms, and their well-designed ion effective separation pore ranges show an enhancement, rationalized by molecular simulation. The self-assembled dendrimer polyamide membrane provides Cl–/SO42– selectivity more than 17 times that of its pristine polyamide counterparts, increasing from 167.9 to 2883.0. Furthermore, the designed membranes achieve higher Li purity and Li recovery compared to current state-of-the-art membranes. Such an approach provides a scalable strategy to fine-tune subnanometre structures in ion separation nanofilms.
In vivo assembly enhanced binding effect augments tumor specific ferroptosis therapy
Authors: Hou Da-Yong , Cheng Dong-Bing , Zhang Ni-Yuan , Wang Zhi-Jia , Hu Xing-Jie , Li Xin , Lv Mei-Yu , Li Xiang-Peng , Jian Ling-Rui , Ma Jin-Peng , Sun Taolei , Qiao Zeng-Ying , Xu Wanhai , Wang Hao 
Published: January 2024

AbstractEmerging evidence indicates that the activation of ferroptosis by glutathione peroxidase 4 (GPX4) inhibitors may be a prominent therapeutic strategy for tumor suppression. However, the wide application of GPX4 inhibitors in tumor therapy is hampered due to poor tumor delivery efficacy and the nonspecific activation of ferroptosis. Taking advantage of in vivo self-assembly, we develop a peptide-ferriporphyrin conjugate with tumor microenvironment specific activation to improve tumor penetration, endocytosis and GPX4 inhibition, ultimately enhancing its anticancer activity via ferroptosis. Briefly, a GPX4 inhibitory peptide is conjugated with an assembled peptide linker decorated with a pH-sensitive moiety and ferriporphyrin to produce the peptide-ferriporphyrin conjugate (Gi-F-CAA). Under the acidic microenvironment of the tumor, the Gi-F-CAA self-assembles into large nanoparticles (Gi-F) due to enhanced hydrophobic interaction after hydrolysis of CAA, improving tumor endocytosis efficiency. Importantly, Gi-F exhibits substantial inhibition of GPX4 activity by assembly enhanced binding (AEB) effect, augmenting the oxidative stress of ferriporphyrin-based Fenton reaction, ultimately enabling antitumor properties in multiple tumor models. Our findings suggest that this peptide-ferriporphyrin conjugate design with AEB effect can improve the therapeutic effect via induction of ferroptosis, providing an alternative strategy for overcoming chemoresistance.
Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial
Authors: Wolf Risa M. , Channa Roomasa , Liu T. Y. Alvin , Zehra Anum , Bromberger Lee , Patel Dhruva , Ananthakrishnan Ajaykarthik , Brown Elizabeth A. , Prichett Laura , Lehmann Harold P. , Abramoff Michael D. 
Published: January 2024

AbstractDiabetic retinopathy can be prevented with screening and early detection. We hypothesized that autonomous artificial intelligence (AI) diabetic eye exams at the point-of-care would increase diabetic eye exam completion rates in a racially and ethnically diverse youth population. AI for Children’s diabetiC Eye ExamS (NCT05131451) is a parallel randomized controlled trial that randomized youth (ages 8-21 years) with type 1 and type 2 diabetes to intervention (autonomous artificial intelligence diabetic eye exam at the point of care), or control (scripted eye care provider referral and education) in an academic pediatric diabetes center. The primary outcome was diabetic eye exam completion rate within 6 months. The secondary outcome was the proportion of participants who completed follow-through with an eye care provider if deemed appropriate. Diabetic eye exam completion rate was significantly higher (100%, 95%CI: 95.5%, 100%) in the intervention group (n = 81) than the control group (n = 83) (22%, 95%CI: 14.2%, 32.4%)(p < 0.001). In the intervention arm, 25/81 participants had an abnormal result, of whom 64% (16/25) completed follow-through with an eye care provider, compared to 22% in the control arm (p < 0.001). Autonomous AI increases diabetic eye exam completion rates in youth with diabetes.
Low-temperature grapho-epitaxial La-substituted BiFeO3 on metallic perovskite
Authors: Husain Sajid , Harris Isaac , Gao Guanhui , Li Xinyan , Meisenheimer Peter , Shi Chuqiao , Kavle Pravin , Choi Chi Hun , Kim Tae Yeon , Kang Deokyoung , Behera Piush , Perrodin Didier , Guo Hua , M. Tour James , Han Yimo , Martin Lane W. , Yao Zhi , Ramesh Ramamoorthy 
Published: January 2024

AbstractBismuth ferrite has garnered considerable attention as a promising candidate for magnetoelectric spin-orbit coupled logic-in-memory. As model systems, epitaxial BiFeO3 thin films have typically been deposited at relatively high temperatures (650–800 °C), higher than allowed for direct integration with silicon-CMOS platforms. Here, we circumvent this problem by growing lanthanum-substituted BiFeO3 at 450 °C (which is reasonably compatible with silicon-CMOS integration) on epitaxial BaPb0.75Bi0.25O3 electrodes. Notwithstanding the large lattice mismatch between the La-BiFeO3, BaPb0.75Bi0.25O3, and SrTiO3 (001) substrates, all the layers in the heterostructures are well ordered with a [001] texture. Polarization mapping using atomic resolution STEM imaging and vector mapping established the short-range polarization ordering in the low temperature grown La-BiFeO3. Current-voltage, pulsed-switching, fatigue, and retention measurements follow the characteristic behavior of high-temperature grown La-BiFeO3, where SrRuO3 typically serves as the metallic electrode. These results provide a possible route for realizing epitaxial multiferroics on complex-oxide buffer layers at low temperatures and opens the door for potential silicon-CMOS integration.
A transcriptome based molecular classification scheme for cholangiocarcinoma and subtype-derived prognostic biomarker
Authors: Fan Zhongqi , Zou Xinchen , Wang Guangyi , Liu Yahui , Jiang Yanfang , Wang Haoyan , Zhang Ping , Wei Feng , Du Xiaohong , Wang Meng , Sun Xiaodong , Ji Bai , Hu Xintong , Chen Liguo , Zhou Peiwen , Wang Duo , Bai Jing , Xiao Xiao , Zuo Lijiao , Xia Xuefeng , Yi Xin , Lv Guoyue 
Published: January 2024

AbstractPrevious studies on the molecular classification of cholangiocarcinoma (CCA) focused on certain anatomical sites, and disregarded tissue contamination biases in transcriptomic profiles. We aim to provide universal molecular classification scheme and prognostic biomarker of CCAs across anatomical locations. Comprehensive bioinformatics analysis is performed on transcriptomic data from 438 CCA cases across various anatomical locations. After excluding CCA tumors showing normal tissue expression patterns, we identify two universal molecular subtypes across anatomical subtypes, explore the molecular, clinical, and microenvironmental features of each class. Subsequently, a 30-gene classifier and a biomarker (called “CORE-37”) are developed to predict the molecular subtype of CCA and prognosis, respectively. Two subtypes display distinct molecular characteristics and survival outcomes. Key findings are validated in external cohorts regardless of the stage and anatomical location. Our study provides a CCA classification scheme that complements the conventional anatomy-based classification and presents a promising prognostic biomarker for clinical application.
Weyl metallic state induced by helical magnetic order
Authors: Soh Jian-Rui , Sánchez-Ramírez Irián , Yang Xupeng , Sun Jinzhao , Zivkovic Ivica , Rodríguez-Velamazán J. Alberto , Fabelo Oscar , Stunault Anne , Bombardi Alessandro , Balz Christian , Le Manh Duc , Walker Helen C. , Dil J. Hugo , Prabhakaran Dharmalingam , Rønnow Henrik M. , de Juan Fernando , Vergniory Maia G. , Boothroyd Andrew T. 
Published: January 2024

AbstractIn the rapidly expanding field of topological materials there is growing interest in systems whose topological electronic band features can be induced or controlled by magnetism. Magnetic Weyl semimetals, which contain linear band crossings near the Fermi level, are of particular interest owing to their exotic charge and spin transport properties. Up to now, the majority of magnetic Weyl semimetals have been realized in ferro- or ferrimagnetically ordered compounds, but a disadvantage of these materials for practical use is their stray magnetic field which limits the minimum size of devices. Here we show that Weyl nodes can be induced by a helical spin configuration, in which the magnetization is fully compensated. Using a combination of neutron diffraction and resonant elastic x-ray scattering, we find that below TN = 14.5 K the Eu spins in EuCuAs develop a planar helical structure which induces two quadratic Weyl nodes with Chern numbers C = ±2 at the A point in the Brillouin zone.
Emerging topological bound states in Haldane model zigzag nanoribbons
Authors: Traverso Simone , Sassetti Maura , Traverso Ziani Niccolò 
Published: January 2024

AbstractZigzag nanoribbons hosting the Haldane Chern insulator model are considered. In this context, a reentrant topological phase, characterized by the emergence of quasi zero dimensional in-gap states, is discussed. The bound states, which reside in the gap opened by the hybridization of the counter-propagating edge modes of the Haldane phase, are localized at the ends of the strip and are found to be robust against on-site disorder. These findings are supported by the behavior of the Zak phase over the parameter space, which exhibits jumps of π in correspondence to the phase transitions between the trivial and the non-trivial phases. The effective mass inversion leading to the jumps in the Zak phase is interpreted in a low energy framework. Setups with non-uniform parameters also show topological bound states via the Jackiw-Rebbi mechanism. All the properties reported are shown to be extremely sensitive to the strip width.
The effect of light intensity on microalgae biofilm structures and physiology under continuous illumination
Authors: Gao Yan , Bernard Olivier , Fanesi Andrea , Perré Patrick , Lopes Filipa 
Published: January 2024

AbstractThe interest by biofilm-based microalgae technologies has increased lately due to productivity improvement, energy consumption reduction and easy harvesting. However, the effect of light, one key factor for system’s operation, received less attention than for planktonic cultures. This work assessed the impact of Photon Flux Density (PFD) on Chlorella vulgaris biofilm dynamics (structure, physiology, activity). Microalgae biofilms were cultivated in a flow-cell system with PFD from 100 to 500 $${\upmu {\textrm{mol}} \, \textrm{m}^{-2} \, \textrm{s}^{-1}}$$

μ
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m

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. In the first stage of biofilm development, uniform cell distribution was observed on the substratum exposed to 100 $${\upmu \textrm{mol} \, \textrm{m}^{-2} \, \textrm{s}^{-1}}$$

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while cell clusters were formed under 500 $${\upmu \textrm{mol} \, \textrm{m}^{-2} \, \textrm{s}^{-1}}$$

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. Though similar specific growth rate in exponential phase (ca. 0.3 $${\textrm{d}^{-1}}$$

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) was obtained under all light intensities, biofilm cells at 500 $${\upmu \textrm{mol} \, \textrm{m}^{-2} \, \textrm{s}^{-1}}$$

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seem to be ultimately photoinhibited (lower final cell density). Data confirm that Chlorella vulgaris showed a remarkable capability to cope with high light. This was marked for sessile cells at 300 $${\upmu \textrm{mol} \, \textrm{m}^{-2} \, \textrm{s}^{-1}}$$

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, which reduce very rapidly (in 2 days) their chlorophyll-a content, most probably to reduce photodamage, while maintaining a high final cell density. Besides cellular physiological adjustments, our data demonstrate that cellular spatial organization is light-dependent.
Landmark-based registration of a cochlear model to a human cochlea using conventional CT scans
Authors: Stritzel Jenny , Ebrahimzadeh Amir Hossein , Büchner Andreas , Lanfermann Heinrich , Marschollek Michael , Wolff Dominik 
Published: January 2024

AbstractCochlear implants can provide an advanced treatment option to restore hearing. In standard pre-implant procedures, many factors are already considered, but it seems that not all underlying factors have been identified yet. One reason is the low quality of the conventional computed tomography images taken before implantation, making it difficult to assess these parameters. A novel method is presented that uses the Pietsch Model, a well-established model of the human cochlea, as well as landmark-based registration to address these challenges. Different landmark numbers and placements are investigated by visually comparing the mean error per landmark and the registrations’ results. The landmarks on the first cochlear turn and the apex are difficult to discern on a low-resolution CT scan. It was possible to achieve a mean error markedly smaller than the image resolution while achieving a good visual fit on a cochlear segment and directly in the conventional computed tomography image. The employed cochlear model adjusts image resolution problems, while the effort of setting landmarks is markedly less than the segmentation of the whole cochlea. As a next step, the specific parameters of the patient could be extracted from the adapted model, which enables a more personalized implantation with a presumably better outcome.
Alcohol-related cancer morbidity and mortality are stratified using modified albumin platelet product
Authors: Fujita Koji , Morishita Asahiro , Oura Kyoko , Ono Masafumi , Himoto Takashi , Masaki Tsutomu 
Published: January 2024

AbstractAlcohol abuse is associated with several diseases, such as hepatocellular carcinoma, cirrhosis, and extrahepatic malignancies. Recently, we reported albumin platelet product (APP) and modified APP (mAPP) as novel indices of liver fibrosis staging and prognosis in patients without alcoholic liver diseases. This retrospective cohort study aimed to extend application of APP and mAPP in prognosis prediction of patients with alcoholic liver diseases. We enrolled 222 patients with alcoholic liver diseases based on their medical records. Cut-off values of APP = 4.349 and mAPP = 2.484 were adopted based on a past report. Hazard ratios of APP and mAPP were compared to those of albumin-bilirubin score and fibrosis-4 index. The primary and secondary endpoints were carcinogenesis and death, respectively. Thus, APP = 4.349 and mAPP = 2.484 significantly differentiated cancer-free survival and overall survival in univariate analysis. Hazard ratios of mAPP = 2.484 were greater than those of the albumin-bilirubin score of -2.270 and fibrosis-4 index of 3.25. Multivariate analysis revealed mAPP = 2.484 as an independent risk factor for carcinogenesis and overall death. In conclusion, mAPP is a simple index to stratify patient’s risk for carcinogenesis and death.
Unbalanced regularized optimal mass transport with applications to fluid flows in the brain
Authors: Chen Xinan , Benveniste Helene , Tannenbaum Allen R. 
Published: January 2024

AbstractAs a generalization of the optimal mass transport (OMT) approach of Benamou and Brenier’s, the regularized optimal mass transport (rOMT) formulates a transport problem from an initial mass configuration to another with the optimality defined by the total kinetic energy, but subject to an advection-diffusion constraint equation. Both rOMT and the Benamou and Brenier’s formulation require the total initial and final masses to be equal; mass is preserved during the entire transport process. However, for many applications, e.g., in dynamic image tracking, this constraint is rarely if ever satisfied. Therefore, we propose to employ an unbalanced version of rOMT to remove this constraint together with a detailed numerical solution procedure and applications to analyzing fluid flows in the brain.
Modeling the potential distribution of the energy tree species Triadica sebifera in response to climate change in China
Authors: Liu Mei , Yang Liyong , Su Miaomiao , Gong Wei , Liu Yibo , Yang Jingxuan , Huang Yi , Zhao Cong 
Published: January 2024

AbstractAs an important woody oilseed species in China, Triadica sebifera is not only concerned with the substitution of traditional energy sources, but also plays a considerable role in coping with energy shortages. Accurately predicting the potential geographic distribution of Triadica sebifera in China and understanding its ecological needs are crucial for alleviating the energy crisis and effectively implementing energy substitution strategies. In this study, the potential geographic distribution of Triadica sebifera in China at contemporary and future periods was predicted based on the distribution data of Triadica sebifera in China and the environmental factor variables by Maxent model and ArcGIS software. The combination of important factors governing the potential geographic distribution of Triadica sebifera was assessed by the contribution of environmental factor variables. The accuracy of Maxent model's predictions was assessed by AUC values, TSS values and Kappa statistics. The results show that: High AUC and TSS values indicate high accuracy and performance of the model. The crucial environmental factors limiting the potential geographic distribution of Triadica sebifera are the temperature factor (mean air temperature of the driest quarter), precipitation factor (precipitation of the coldest quarter, precipitation of the wettest month), and the intensity of human activities (hf). The total suitable area for Triadica sebifera is 233.64 × 104 km2, primarily located in Yunnan, Sichuan, Hubei, Guizhou, Jiangxi, Guangdong province and Guangxi Zhuang Autonomous Region; its high suitability area is 30.89 × 104 km2, accounting for 13.22% of the total suitable area, mainly distributed in Jiangxi, Sichuan and Hunan provinces in the shape of a cake. Under the four typical greenhouse gas emission concentration patterns in the 2050s and 2070s, the areas of high and medium suitable areas for Triadica sebifera will increase, while the area of its low suitable area will decrease. However, the total suitable area will remain relatively unchanged. Its potential suitable habitats show a trend of shifting towards lower latitudes and southeast regions. The study predicted the pattern of Triadica sebifera under different climate change conditions, which can provide guidance for future cultivation of Triadica sebifera as well as for biofuel development and utilization.
Influence of certified perioperative nurses on the establishment of preoperative outpatient clinic and rate of preoperative assessment in Japan
Authors: Hara Kentaro , Yamamoto Chie , Mills Shigeko , Osaki Kengo , Tokuyama Kaoru , Inoue Takahiro 
Published: January 2024

AbstractThis study aimed to investigate the influence of certified perioperative nurses on preoperative outpatient clinic and preoperative assessments. The study was conducted from February 2021 to September 2022; data were collected and analyzed using a questionnaire at 247 hospitals in Japan. To analyze the factors affecting the rate of preoperative assessment with the primary endpoint of preoperative outpatient care and preoperative nursing visits, we performed multiple linear regression analysis of facility characteristics, perioperative nurse background, and the presence or absence of certified perioperative nurses. Regarding the presence or absence of a preoperative outpatient clinic, patients from 68 (52.3%) and 41 (35.0%) institutions in the enrolled and nonenrolled groups. Respectively, underwent a preoperative assessment; the rate of preoperative assessments in the enrolled group was significantly higher than that in the nonenrolled group. Multivariate analysis of factors influencing the preoperative assessment rate revealed a significant association with certified perioperative nurse attendance. Facilities with certified perioperative nurses have a significantly higher prevalence of preoperative outpatient clinic and significantly higher rates of preoperative assessments than facilities without certified perioperative nurses. Enrollment of certified perioperative nurses may lead to the improvement of the quality of preoperative nursing interventions.
Characteristics of multi-absorption bands in near IR based on a 1D photonic crystal comprising two composite metamaterials
Authors: Medhat Mai , Mehaney Ahmed , Al-Dossari M. , Aly Arafa H. , Elsayed Hussein A. 
Published: January 2024

AbstractThe Matlab program has been utilized in this study to examine the absorption spectral properties of a one-dimensional photonic crystal (1DPCs) comprising two composite metamaterials through near IR wavelengths. The composite metamaterials are designed from Ag of a gyroidal geometry (layer A) and hyperbolic metamaterial (layer B). Therefore, the introduced design is labeled as $${[A{B}^{n}]}^{m}$$

[
A

B

n

]

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with n and m to define the periodicity of the hyperbolic metamaterial and the whole structure, respectively. The numerical findings have been introduced in the vicinity of the effective medium theory, transfer matrix method and the Drude model as well. In this regard, the numerical results demonstrate the appearance of some spectral absorption bands ranging from 0.7 µm to 3 µm for both TM and TE polarizations. Additionally, these bands are almost insensitive to the changes in the angle of incidence. Interestingly, we have considered the role played by some parameters such as the permittivities and thicknesses of both layers on the introduced absorption bands. Finally, we believe that the investigated results could be promising through many applications such as wavelength selective absorbers, solar energy, and smart windows as well.
Unravelling individual rhythmic abilities using machine learning
Authors: Dalla Bella Simone , Janaqi Stefan , Benoit Charles-Etienne , Farrugia Nicolas , Bégel Valentin , Verga Laura , Harding Eleanor E. , Kotz Sonja A. 
Published: January 2024

AbstractHumans can easily extract the rhythm of a complex sound, like music, and move to its regular beat, like in dance. These abilities are modulated by musical training and vary significantly in untrained individuals. The causes of this variability are multidimensional and typically hard to grasp in single tasks. To date we lack a comprehensive model capturing the rhythmic fingerprints of both musicians and non-musicians. Here we harnessed machine learning to extract a parsimonious model of rhythmic abilities, based on behavioral testing (with perceptual and motor tasks) of individuals with and without formal musical training (n = 79). We demonstrate that variability in rhythmic abilities and their link with formal and informal music experience can be successfully captured by profiles including a minimal set of behavioral measures. These findings highlight that machine learning techniques can be employed successfully to distill profiles of rhythmic abilities, and ultimately shed light on individual variability and its relationship with both formal musical training and informal musical experiences.