bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unconventional syntropic spin alignment at the interface between ferromagnetic and superconducting nitrides
Authors: Jin Qiao , Zhang Qinghua , Bai He , Yang Meng , Ga Yonglong , Chen Shengru , Hong Haitao , Cui Ting , Rong Dongke , Lin Ting , Wang Jiaou , Wang Can , Cao Yanwei , GU Lin , Song Guozhu , Wang Shanmin , Jiang Kun , Cheng Zhi Gang , Zhu Tao , Yang Hongxin , Jin Kuijuan , Guo Er-Jia 
Published: June 2023

Abstract
The magnetic correlations at the superconductor/ferromagnet (S/F) interfaces play a crucial role in realizing dissipation-less spin-based logic and memory technologies, such as triplet-supercurrent spin-valves and "π" Josephson junctions. Here we report the coexistence of an induced large magnetic moment and a cryptoferromagnetic state at high-quality nitride S/F interfaces. Using polarized neutron reflectometry and d. c. SQUID measurements, we quantitatively determined the magnetization profile of S/F bilayer and confirmed the induced magnetic moment in the adjacent superconductor only exists below TC. Interestingly, the direction of the induced moment in the superconductors was unexpectedly parallel to that in the ferromagnet, which contrasts with earlier findings in S/F heterostructures based on metals or oxides. First-principles calculations verified that the unusual interfacial spin texture observed in our study was caused by the Heisenberg direct exchange coupling with constant J ~ 4.28 meV through d-orbital overlapping and severe charge transfer across the interfaces. Our work establishes an incisive experimental probe for understanding the magnetic proximity behavior at S/F interfaces and provides a prototype epitaxial “building block” for superconducting spintronics.
Teaser: The superconducting nitrides exhibited an unexpectedly large magnetic moment and cryptoferromagnetism when brought into proximity with a strong ferromagnet.
Improving the prognostic prediction accuracy on breast cancer patients through comprehensive machine survival models
Authors: Kuang Qinjing , Zhang Jilin , Chen Xiaoping 
Published: June 2023

Abstract

BackgroundBreast cancer is known as one of the high-risk malignant tumors. Our previous studies have shown that computer-assisted quantification of large-scale tumor associated collagen signaling is an important prognostic indicator of breast cancer. However, the nonlinear relationship between the data has not been effectively mined, resulting in insufficient accuracy in prognosis prediction.MethodsIn this retrospective and multicenter study, we included 995 patients with invasive breast cancer and divided them into three cohorts, training cohort (N=438), internal validation cohort (N=293) and external validation cohort (N=264) respectively. Firstly, we used COX and random survival forest (SRF) to explore the significance of variables. And then we combined the survival models with machine learning into eight comprehensive machine survival models in order to improve the prognosis of breast cancer. Finally, 10 new survival indicators generated from the above models were used to classify patients into low risk and high risk under Kaplan-Meier method and Log-rank test.ResultThe baseline data and TACS of patients not only show their own non-linear, but also have a strong nonlinear complementary effect between them, and they even interact and promote each other. It is worth noting that the effect of the comprehensive machine survival models are better than that of the clinical model (CLI). Specifically, except SRF-2 does it best in the training cohort (AUC: 0.956 [0.904,0.973]), SRFNET has the best performance in the internal validation cohort (AUC: 0.961 [0.941,0.978]) and the external validation cohort (AUC: 0.935 [0.891,0.967]). Meanwhile, 10 new survival indicators generated from the above comprehensive machine survival models are not only significantly related to DFS, but also able to effectively distinguish high and low risk patients (P < 0.0001) based on the cutoff value of the 5-year time point.ConclusionThe comprehensive machine survival models proposed in this paper improve the recurrence prediction accuracy of breast cancer patients by mining the nonlinearity between patients’ characteristic, so that we will provide effective tools and reliable basis for doctors to carry out precise treatment.
Systematic identification of long noncoding RNAs during three key organogenesis stages in zebrafish
Authors: Zhou Chune , Li Mengting , Sun Yaoyi , Sultan Yousef , Li Xiaoyu 
Published: June 2023

Abstract
Background
Thousands of lncRNAs have been found in zebrafish embryogenesis and adult tissues, but their identification and organogenesis-related function have not elucidated.
Results
In this study, high-throughput sequencing was performed at three different organogenesis stages of zebrafish embryos, which were important for zebrafish muscle development. The three stages were 10 hpf (hours post fertilization) (T1), 24 hpf (T2) and 36 hpf (T3). LncRNA gas5 associated with muscle development was screened out as the next research target by high-throughput sequencing and qPCR validation. The spatiotemporal expression of lncRNA gas5 in zebrafish embryonic muscle development was studied by qPCR and in situ hybridization, and functional analysis was conducted using CRISPR/Cas9 (Clustered regularly interspaced short palindromic repeats/Cas9, CRISPR/Cas9). The results were as follows: 1) A total of 1486 differentially expressed lncRNAs were identified between 24 hpf (T2) and 10 hpf (T1), among which 843 lncRNAs were upregulated and 643 were downregulated. Compared with 36 hpf (T3) and 24 hpf (T2), a total of 844 differentially expressed lncRNAs were screened, among which 482 lncRNAs were upregulated and 362 lncRNAs were downregulated. Compared with 36 hpf (T3) and 10 hpf (T1), a total of 2137 differentially expressed lncRNAs were screened, among which 1148 lncRNAs were upregulated and 989 lncRNAs were downregulated, including lncRNA gas5, which was selected as the target gene. 2) The result of spatiotemporal expression analysis showed that lncRNA gas5 was expressed in almost all detected embryos of different developmental stages (0, 2, 6, 10, 16, 24, 36, 48, 72, 96 hpf) and detected tissues of adult zebra fish. 3) After lncRNA gas5 knockout using CRISPR/Cas9 technology, the expression levels of detected genes related to muscle development and adjacent to lncRNA gas5 were affected in the knockout group compared with the control group, suggesting that lncRNA gas5 may play a role in embryonic muscle development in zebrafish.
Conclusion
The result of this study provide an experimental basis for further study on the role of lncRNA gas5 in zebrafish embryonic muscle development.
Effect of Patient Education on Postoperative Healthcare Resource Utilization and Patient Satisfaction for Patients Receiving Peripheral Nerve Blockade: A Pragmatic Prospective Study
Authors: Zuo Leila W. , Ivie Ryan , Tully Brian , Cheng Diana , Martiszus Briana , Srika Priya , Nguyen Anthony , Achilike Immaculeta , Woodworth Glenn 
Published: June 2023

Abstract
Background
Peripheral nerve block (PNB) is associated with high satisfaction but increased postoperative healthcare resource utilization, perhaps due to inadequate communication of expected PNB behavior to patients. We hypothesized pragmatic multimedia education for patients undergoing PNB would decrease unplanned, postoperative PNB-related healthcare resource utilization.
Methods
This single-center, prospective, before-after, non-randomized study enrolled 600 ambulatory orthopedic surgery patients receiving PNB. In this original research Group 1 (n = 300) received standard education and Group 2 (n = 300) received multimedia education including handouts and videos. The primary outcome was unplanned, PNB-related postoperative healthcare resource utilization (unplanned visit to physician's office or emergency department, or unplanned phone call, relating to pain or problems with the PNB); secondary outcomes included knowledge of PNB. Data analysis used two-sample t-test, Pearson’s chi-square test, or Fisher’s exact test.
Results
We enrolled 300 patients in each group (N = 600). Follow-up response rates were 76% (Group 1, n = 229) and 82% (Group 2, n = 246). Our main findings indicate there was no significant difference in seeking unplanned PNB-related care in the first 4 days after surgery between Group 1 and Group 2 (14.4% vs 15.5%, respectively, p = 0.75). There was no difference in satisfaction with postoperative pain management and PNB information received between groups (p = 0.37). 90.4% (N = 207/229) in Group 1 and 87.8% (N = 216/246) in Group 2 were satisfied or very satisfied with post op pain management. Mean knowledge test scores were 7.8 (± 1.9) in Group 1 and 8.7 (± 1.3) in Group 2 (p < 0.0001; n = 149 in Group 1 and n = 115 in Group 2).
Conclusions
Pragmatic multimedia education for PNB did not change rates of unplanned, postoperative PNB-related healthcare resource utilization or satisfaction, although it improved patient knowledge. Further research will be necessary to investigate if the benefits of comprehensive multimedia education provided in the days prior to surgery will outweigh the costs of decreased production throughput and increased resource input in coordination of this patient education program.
Super-stretchable and negative-Poisson-ratio meta-aerogels
Authors: Zhang Xiaoyu , Sun Qi , Liang Xing , Gu Puzhong , Hu Zhenyu , Yang Xiao , Liu Muxiang , Sun Zejun , Huang Jia , Wu Guangming , Zu Guoqing 
Published: June 2023

Abstract
Highly stretchable aerogels are promising for flexible electronics but their fabrication is a great challenge. Herein, several kinds of unprecedented intrinsically super-stretchable conductive aerogels with low or negative Poisson’s ratios are achieved by uniaxial, biaxial, and triaxial hot-pressing strategies. The highly elastic reduced graphene oxide/polymer nanocomposite aerogels with folded porous structures obtained by uniaxial hot pressing exhibit record-high stretchability up to 1200% strain, significantly surpassing all those of the reported intrinsically stretchable aerogels. Furthermore, the never-before-realized meta-aerogels with reentrant porous structures combining high biaxial (or triaxial) stretchability and negative Poisson’s ratios have been achieved by biaxial (or triaxial) hot pressing. The resulting aerogel-based wearable strain sensors exhibit a record-wide response range (0-1200%). In addition, they can be applied for smart thermal management and electromagnetic interference shielding, which are achieved by regulating the porous microstructures via stretching. This work provides a versatile strategy to highly stretchable and negative-Poisson-ratio porous materials promising for various applications including but not limited to flexible electronics, thermal management, electromagnetic shielding, and energy storage.
Biogenic potentiality of cationic peptides isolated from mangrove Streptomyces albogriseolus
Authors: J Akshatha S. , Kalyani Manjula Ishwara , Adhoni Shakeel Ahmed 
Published: June 2023

Abstract
Streptomyces albogriseolus from mangrove soil was isolated from the coastal region of Mangalore and had morphologically different aerial and substrate mycelium as well as diffusible coloration. The cylindrical sporiangiophore of Streptomyces albogriseolus was visible in the scanning electron microscope image together with tightly packed open spiral filaments. Streptomyces albogriseolus was grown in ISP2 media to test the intracellular peptides' potential for antibacterial action. The collected biomass was pH 7.2 sodium phosphate buffer homogenized. Streptomyces albogriseolus's peptides demonstrated notable anti-oxidant, anti-inflammatory, and anti-biofilm capabilities. The intracellular peptides were subjected to ion exchange chromatography separation using CM-cellulose column after the antibacterial activity was confirmed. Using BSA as a reference, Lowry's technique was used to estimate the peptide fraction. Based on reverse phase HPLC and LCMS analysis of peptides with molecular masses of 28.61 kDa, the CM cellulose pk 5 fraction was further divided. The ability of a peptide to permeate membranes was evaluated in an aliquot with an estimated concentration of 3.75g in 10µl. By using a field-emission scanning electron microscope, it was discovered that the Streptomyces albogriseolus peptide had a membrane permeabilization effect on Klebsiella pneumoniae, causing pore formation and membrane disintegration. Acridine orange/ethidium bromide labelling and flow cytometric measurement for PI cell uptake were used to further demonstrate this influence on membrane activity. By submitting the N-terminal amino acid sequence to the SWISS-Prot database and using the taxonomy of the 28.61 kDa peptide from Streptomyces albogriseolus, which belongs to the family "Imidazoleglycerol-phosphate dehydratase," to determine the structure of the peptide complex. Additional research was done to examine the anticancer properties of the Streptomyces albogriseolus peptide, and it was shown that MCF-7 breast cancer cells significantly displayed cytotoxicity and DNA damage.
Rare variants in PLA2G7 are associated with the age of onset and disease burden of asthma
Authors: Nordang Gry , Busk Øyvind , Klepaker Geir , Page Christian , LeBlanc Marissa , Aspelin Trude , Hertel Jens , Holla Øystein , Fell Anne 
Published: June 2023

Abstract
Understanding of the contributions of rare genetic variants in asthma is limited. In this study, we investigated this contribution in 121 asthma-associated genes to the age of onset and disease burden using targeted next-generation sequencing in 576 cases of asthma. The Sequence Kernel Association Test (SKAT) was used for cumulative rare variant association analysis, with asthma onset as the outcome. The median age of onset was 12 years (IQR 5–21) and 65% of the patients developed asthma before age 16. Ninety-two genes with ≥ 10 rare variants (MAF ≤ 1%) were available for the SKAT analysis. We found a cumulative effect (p = 0.015, uncorrected for multiple testing) of rare variants of PLA2G7 (phospholipase A2, group VII) and asthma onset. PLA2G7 rare variant carriers showed higher levels of FeNO than PLA2G7 non-carriers (18 ppb (IQR 14–30) vs. 13 ppb (IQR 8–21), p = 0.013). Furthermore, FEV1 was reduced in the PLA2G7 carriers compared to the non-carriers (87.6% (12.3) vs. 96.0% (13.6), p = 0.018). In conclusion, we found an association between the PLA2G2 locus and the age of onset in a population of Norwegian patients with asthma. Furthermore, increased FeNO and reduced FEV1 were observed among the PLA2G7 carriers.
Artificial intelligence for automated thoracic aorta diameter measurement using different computed tomography protocols
Authors: Portugal Maria Fernanda Cassino , Pinheiro Lucas Lembrança , Lee Henrique Min Ho , Vieira Henrique Cursino , Oliveira Lariza Laura , Valle Matheus , Miyoshi Newton Shydeo Brandão , Oliveira-Ciabati Livia , Baroni Ronaldo , Szarf Gilberto , Wolosker Nelson 
Published: June 2023

Abstract

This study aimed to develop an automated 3-dimensional (3D) segmentation method for measuring the diameter of the thoracic aorta using different computed tomography (CT) protocols. A total of 587 CT scans were retrospectively analysed, and a manual slice-by-slice segmentation of the thoracic aorta was performed by three specialists. The segmented images were used to train convolutional neural network (CNN) models for automated segmentation. The models achieved high accuracy, with an average Dice Score Coefficient (DSC) of 0.8708. Four different methods for thoracic aorta diameter measurement were compared: manual measuring, semi-automatic measuring, automatic measuring using PyRadiomics, and automatic measuring using a made-to-measure algorithm. The results showed that the automatic measuring methods had similar accuracy to the manual and semi-automatic methods. The mean thoracic aorta diameter varied between 3.3 cm and 4.95 cm. These findings demonstrate the feasibility and accuracy of using artificial intelligence algorithms for automated thoracic aorta diameter measurement, which can aid in the assessment and management of aortic diseases.
Patient Values in Patient-Provider Communication about Participation in Early Phase Clinical Cancer Trials: a Qualitative Analysis before and after Implementation of an Online Value Clarification Tool Intervention
Authors: Lent Liza G.G. van , Ham Mirte van der , de Jonge Maja J.A. , Gort Eelke H. , Mil Marjolein van , Hasselaar Jeroen , Rijt Carin C.D. van der , Gurp Jelle van , Weert Julia C.M. van 
Published: June 2023

Abstract
Background
Patients with advanced cancer who have no standard treatment options anymore can sometimes decide to participate in early phase clinical trials (i.e. experimental treatments with uncertain outcomes). Shared decision-making models consider discussing patient values essential, but such communication is often limited in this context and may require new interventions. Correspondingly, the OnVaCT intervention was previously developed consisting of a preparatory online value clarification tool (OnVaCT) for patients and communication training for oncologists. This study aimed to qualitatively explore which and how patient values are discussed (in context with each other) between patients and oncologists during consultations about potential early phase clinical trial participation before and after implementation of the OnVaCT intervention.
Methods
This study had a between-subjects design: pre-test patients received usual care, while post-test patients additionally received the OnVaCT. Oncologists participated in the communication training between study phases. Patients’ initial consultation on potential early phase clinical trial participation was recorded and transcribed verbatim. Applying a directed approach, two independent coders analysed the transcripts using an initial codebook based on previous studies. Steps of continuous evaluation and revision were repeated until data saturation was reached.
Results
Data saturation was reached after 32 patient-oncologist consultations (i.e. 17 pre-test and 15 post-test). These revealed the values hope, perseverance, quality or quantity of life, risk tolerance, trust in the healthcare system/professionals, autonomy, social adherence, altruism, corporeality, accepting one’s fate, and humanity. Pre-test patients mostly expressed values shortly and spontaneously, e.g. while responding to information. Oncologists acknowledged the importance of patient values, but generally only described ‘opposite’ examples why some accept and others decline trial participation, without asking further questions. In the post-test, many oncologists referred to the OnVaCT and/or asked probing questions, while patients used longer phrases connecting multiple values.
Conclusions
While all values could be recognized in both study phases, our analysis has pointed to the different patterns surrounding patient values in communication on potential early phase clinical trial participation before and after implementation of the OnVaCT intervention. This study thereby suggests that the OnVaCT intervention may support patients and oncologists in discussing their values.
Trial registration
Netherlands Trial Registry: NL7335, registered on July 17, 2018
Validation of effectiveness factor correlations for steam methane reforming in Ni-based washcoat catalyst layers using commercial computational fluid dynamics software
Authors: Oh Yun Seok , Oh Hyun-Joo , Nam Jin Hyun 
Published: June 2023

Abstract

In this study, the effectiveness factor correlations proposed for steam methane reforming (SMR) in Ni-based washcoat catalyst layers were numerically validated using the commercial computational fluid dynamics (CFD) software, ANSYS Fluent. The SMR process in an exemplary microchannel reformer was simulated, once by fully considering the reaction and diffusion process inside the washcoat catalyst layer and again by simplifying the process calculation using the effectiveness factor correlations. It was shown that the proposed effectiveness factor correlations could successfully capture the SMR characteristics in washcoat catalyst layers, which is essential for reliably predicting the steam reformer operation using CFD software packages with lower computational costs. In addition, this paper also addressed a possible numerical error in the Fluent calculation identified during the present simulation.
Network-based hub biomarker discovery for glaucoma
Authors: Zhang Xueli , Ma Shuo , Shang Xianwen , Zhang Xiayin , Kong Lingcong , Jason Ha , Huang Yu , Zhu Zhuoting , Liu Shunming , Kiburg Katerina , Shi Danli , Wang Yueye , Bao Yining , Lai Hao , Wang Wei , Hu Yijun , Zhao Ke , Hu Guang , Liang Huiying , Yu Honghua , Zhang Lei , He Mingguang 
Published: June 2023

Abstract
Purpose Glaucoma is an optic neuropathy, and the leading cause of irreversible blindness worldwide. However, the early detection of glaucoma remains challenging as chronic forms of glaucoma remain largely asymptomatic until considerable irreversible visual field deficits have ensued. Thus, biomarkers that facilitate early diagnosis and treatment for glaucoma patients with a high risk of progression are pressing.
Methods Human disease-biomarker interactions network (HDBIN) and Human disease-target-drug interactions network (HDTDIN) were first constructed based on multi-omics data. The greedy search algorithm was utilized to search for the hub biomarkers and drug targets for glaucoma. Genome-wide association studies (GWAS) and epidemiological data from the UK Biobank (UKB) were used to verify our results. Biological network and function analysis was conducted to find common network features and pathways for hub biomarkers and drug targets for glaucoma.
Results We identified 10 hub biomarkers/drug targets for the diagnosis, treatment and prognosis for glaucoma. These results were verified by text-mining and genomic/epidemiology data. We also predicted the new application of BMP1 and MMP9 to diagnose glaucoma and confirm the theory of hub biomarkers with multiple clinical applications. Further, relevant pivotal pathways for these hub biomolecules were discovered, which may be foundations for future biomarker and drug target prediction for glaucoma.
Conclusions Based on complex networks, hub biomolecules, essential pathways, and close diseases were identified for glaucoma in diagnosis, treatment and prognosis.
Translational Relevance Our network approach could be a new way to identify important biomarkers and drug targets for glaucoma or other complex eye diseases.