bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spin current driven by ultrafast magnetization of FeRh
Authors: Kang Kyuhwe , Omura Hiroki , Lee OukJae , Lee Kyung-Jin , Lee Hyun-Woo , Taniyama Tomoyasu , Choi Gyung-Min 
Published: September 2022

Abstract
Laser-induced ultrafast demagnetization is an important phenomenon that probes arguably ultimate limits of the angular momentum dynamics in solid. Unfortunately, many aspects of the dynamics remain unclear except that the demagnetization transfers the angular momentum eventually to the lattice. In particular, roles of electron-carried spin current are debated. Here we experimentally probe the spin current in the opposite phenomenon, i.e., laser-induced ultrafast magnetization of FeRh, where the laser pump pulse initiates the angular momentum build-up rather than its dissipation. Using the time-resolved magneto-optical Kerr effect, we directly measure the ultrafast-magnetization-driven spin current in a FeRh/Cu heterostructure. Strong correlation between the spin current and the net magnetization change rate of FeRh is found even though the spin filter effect is negligible in this opposite process. This result implies that the angular momentum build-up is achieved by an angular momentum transfer from the electron bath (supplier) to the magnon bath (receiver) and followed by the spatial transport of angular momentum (spin current) and dissipation of angular momentum to the phonon bath (spin relaxation).
Immortalized murine tenocyte cells – a novel and innovative tool for tendon research
Authors: Oreff Gil Lola , Maurer Barbara , Gerner Iris , Sexl Veronika , Jenner Florien 
Published: September 2022

Abstract
Primary tenocytes rapidly undergo senescence and a phenotypic drift upon in vitro monolayer culture, which limits tendon research. The Ink4a/Arf locus encodes the proteins p16Ink4a/Arf and p14ARF (p19ARF in mice) that regulate cell cycle progression and senescence. We here established an immortalized cell line using tenocytes isolated from Ink4a/Arf deficient mice (Ink4a/Arf-/-). These cells were investigated at three distinct time points, at low (2-5), intermediate (14-17) and high (35-44) passages. Wild-type cells at low passage (2-5) served as controls. Ink4a/Arf-/- tenocytes at all stages were comparable to wild-type cells regarding morphology, expression of tenogeneic genes (collagen type 1, 3 and 5, Scleraxis, Tenomodulin and Tenascin-C), and surface markers (CD29, CD44 and CD105) and form 3D tendon-like structures. Importantly, Ink4a/Arf-/- tenocytes maintained their phenotypic features and proliferation potential in culture for more than 40 passages and also following freeze-thaw cycles. In contrast, wild-type tenocytes underwent senescence starting in passage 6. These data define Ink4a/Arf-/- tenocytes as novel tool for in vitro tendon research and as valuable in vitro alternative to animal experiments.
Comparison of long-term outcomes in simultaneous pancreas-kidney transplant versus simultaneous deceased donor pancreas and living donor kidney transplant
Authors: Kim Jin-Myung , Ko Youngmin , Choi Minha , Kwon Hye Eun , Lee Jae Jun , Jung Joo Hee , Kwon Hyunwook , Kim Young Hoon , Shin Sung 
Published: September 2022

Abstract
Simultaneous deceased donor pancreas and living donor kidney transplant (SPLK) has certain advantages over conventional simultaneous pancreas-kidney transplant (SPK) and may be beneficial for overcoming the paucity of organs needed for diabetic patients with requiring transplant. We compared the clinical outcomes of diabetic patients with end-stage renal disease who underwent either SPK (n=149) or SPLK (n=46) in terms of pre- and post-transplantation variables, development of de novo DSA, occurrence of biopsy-proven acute rejection (BPAR), and graft survival rates. There were no significant differences in the baseline characteristics between the SPK and SPLK groups except for the shorter cold ischemic time of kidney grafts, shorter duration of diabetes, older age of pancreas graft-donors, and younger age of kidney graft-donors in the SPLK group. Ten years of follow-up data showed that the death-censored pancreas graft survival rate was lower in the SPLK group. In addition, the incidence of BPAR of the pancreas graft was higher in the SPLK group. There was no significant difference in the presence of de novo DSA and the rates of kidney graft failure, kidney BPAR, and mortality. Our results show that SPLK can be considered an alternative option for SPK in diabetic patients with ESRD.
Interfacial Nanobubbles’ Growth at the Initial Stage of Electrocatalytic Hydrogen Evolution
Authors: Yu Jinwen , Hu Kadi , Zhang Zhengyi , Luo Liang , Liu Yiwei , Zhou Daojin , Kuang Yun , Xu Haijun , Li Hui , Duan Haohong , Sun Xiaoming 
Published: September 2022

Abstract
Bubble evolution in electrolysis commonly initiates from nanobubbles (NBs), and their ultrasmall size induces unique high internal pressure and consequently high anti-potential, namely, the extra overpotential, which is of great significance but still remains rather vague. Herein, we employ the in situ electrochemical surface plasmon resonance imaging method as combined with atomic force microscopy measurement to track the formation and growth of interfacial NBs during initiative hydrogen evolution reaction. We find that NBs’ growth initiate from pancake shaped ones with increasing coverage and roughly pinned three-phase boundaries and increasing contact angle and height, but the coverage remains almost unchanged after reaching equilibrium state; Further increasing overpotential leads to the rise of NBs’ curvature (anti-potential), as well as higher gas outflux rate, namely, higher background current. As confirmed by molecular dynamics simulation, the “pin-rise” growth mode and the quantitative influence of NBs on the electrochemical performance has been revealed.
Added Value of Bias Adjusted and statistical downscaled ISIMIP Models in Simulating Extreme Precipitation Characteristics over West Africa
Authors: Ebiendele Precious Eromosele , Adigun Paul Ayodele , Ezekwe Laura Chinora , Rhaji Ibraheem Ayomide , Doko Hailemarim Mengistu 
Published: September 2022

Abstract
This paper evaluates the skill of five Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) models in simulating regional variability pattern of precipitation extreme characteristics over West Africa by comparing their simulation outputs with CHIRPS, which is a high resolution observation dataset from a 34 years reference period (1981 to 2014). Based on the findings, it was established that the bias-adjusted ISIMIP models were able to accurately replicate the geographical extent and annual year to year variability pattern of extreme precipitation characteristics over the study region. Moreover, the GCMs were able to captured extreme precipitation patterns over mountainous areas, indicating an added value skill of ISIMIP models over topographical features. The performance of ISIMIP models and their multimodel ensemble in capturing extreme precipitation characteristics was further evaluated using the normalized mean bias error, normalized root mean square error, Taylor skill metric and interannual variability skill score. Our result revealed that MPI-ESM1-2-HR and multi model ensemble mean were judged to be the most promising models for reproducing the extreme precipitation pattern over the two delineated sub regions (Guinea and Sahel) of west Africa and can therefore be used as a basis for selection of models for hydrological impact studies and adaption strategy.
Value of p53 sequencing in the prognostication of head and neck cancer: a systematic review and meta-analysis
Authors: Basyuni Shadi , Nugent Gareth , Ferro Ashley , Barker Eleanor , Reddin Ian , Jones Oliver , Lechner Matt , O’Leary Ben , Jones Terry , Masterson Liam , Fenton Tim , Schache Andrew 
Published: September 2022

Abstract
This review aimed to examine the relationship between TP53 mutational status, as determined by genomic sequencing, and survival in squamous cell carcinoma of the head and neck.
The databases Medline, Embase, Web of Science (core collection), Scopus and Cochrane Library were searched from inception to April 2021 for studies assessing P53 status and survival. Qualitative analysis was carried out using the REMARK criteria. A meta-analyses was performed and statistical analysis was carried out to test the stability and reliability of results.
Twenty-five studies met the inclusion criteria, of which fifteen provided enough data for quantitative evaluation. TP53 mutation was associated with worse overall survival (HR 1.75 [95%CI 1.45–2.10], p < 0.001), disease-specific survival (HR 4.23 [95%CI 1.19–15.06], p = 0.03), and disease-free survival (HR 1.80 [95%CI 1.28-; 2.53], p < 0.001). Qualitative assessment identified room for improvement and the pooled analysis of all anatomical subsites leads to heterogeneity that may erode the validity of the observed overall effect and its subsequent extrapolation and application to individual patients.
Our systematic review and meta-analysis supports the utility of TP53 mutational as a prognostic factor for survival in head and neck squamous cell carcinoma. A well designed prospective, multi-centre trial is needed to definitively answer this question
Value of p53 sequencing in the prognostication of head and neck cancer: a systematic review and meta-analysis
Flexural strength, surface roughness, micro-CT analysis, and microbiological adhesion of a 3D-printed temporary crown material
Authors: Ribeiro Anne Kaline Claudino , Freitas Rodrigo Falcão Carvalho de Porto , de Carvalho Isabelle Helena Gurgel , de Miranda Larissa Mendonça , Silva Nathália Ramos da , Almeida Leopoldina de Fátima Dantas , Zhang Yu , Carreiro Adriana da Fonte Porto , Souza Rodrigo Othávio de Assunção e 
Published: September 2022

Abstract
Objective: To evaluate the thermocycling effect of 3D-printed resins on flexural strength, surface roughness, microbiological adhesion, and porosity.
Materials and methods: Specifically, 150 bar specimens (8 × 2 × 2 mm) and 100 blocks (8 × 8 × 2 mm) were made and divided among five groups, according to two factors: “material” (AR: acrylic resin, CR: composite resin, BIS: bis-acryl resin, CAD: CAD/CAM PMMA resin, and PRINT: 3D-printed resin) and “aging” (non-aged and aged – TC). Half of the samples from each group were subjected to thermocycling (10,000 thermocycles; 5–55 °C), and the rest were stored in water (37 ºC) for 24 h. The bars were then subjected to a mini flexural strength (σ) test (1 mm/min; 100kgF). All the blocks were subjected to roughness values (Ra, Rq, and Rz). The non-aged blocks were subjected to porosity analysis (micro-CT (n=5)) and fungal adherence (n=10). The data of σ (MPa) and Ra, Rq, and Rz(µm) were statistically analyzed using two-way ANOVA and Tukey’s test. Weibull analysis was performed to verify the reliability of the σ data. Fungal adhesion (log CFU/mL) data were analyzed using one-way ANOVA and Tukey’s test.
Results: For flexural strength, ANOVA showed that “material” and “aging” factors were statistically significant (p<0.0001). The mean flexural strength ranged from 49.87 MPa to 118.23 MPa between the experimental groups. The BIS group (118.23±16.26A) presented higher σ value than the AR group (89.60±9.38BC), whereas the PRINT group (49.87±7.55E) had the lowest mean of the flexural strength (Tukey, a=0.05). All groups showed a decrease in σ after thermocycling, except for the PRINT group, which showed significantly increased flexural strength after aging (PRINTTC:81.33±20.38CD). The Weibull modulus for the CRTC was significantly lower than those of the other groups. The AR group showed higher roughness values than the BIS group, regardless of age (p<0.0001). Porosity analyses revealed that the AR (1.369%) and BIS (6.339%) groups presented the highest porosity values among the experimental groups and that the CAD group (0.002%) had the lowest porosity. Cell adhesion was significantly different between the CR (6.81) and CAD (6.37) groups (p=0.036).
Conclusion: Thermocycling reduced the flexural strength of most provisional materials evaluated, except for 3D-printed resin. However, it did not influence the surface roughness of each material. Moreover, Candida albicans adherence and porosity varied among materials.
Clinical relevance: 3D-printed resins are promising materials for clinical applications because they have good mechanical properties and low fungal adhesion.
Development and External Validation of a Machine Learning Model to Predict Pathological Complete Response after Neoadjuvant Chemotherapy in Breast Cancer: model development using commonly available clinical and demographic variables
Authors: Jung Ji-Jung , Kim Eun-Kyu , Kang Eunyoung , Kim Jee Hyun , Kim Se Hyun , Suh Koung Jin , Kim Sun Mi , Jang Mijung , Yun Bo La , Park So Yeon , Lim Changjin , Han Wonshik , Shin Hee-Chul 
Published: September 2022

Abstract
Purpose
Several predictive models have been developed to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC), but few of them are broadly applicable due to radiologic complexity and institution-specific clinical variables, and none have been externally validated. The purpose of this study was to develop and externally validate a machine learning model that predicts pCR following NAC in breast cancer patients using routinely collected clinical and demographic variables.
Methods
Electronic medical record data of patients with advanced breast cancer who received NAC prior to surgical resection from January 2017 to December 2020 were reviewed. Patient data from Hospital A was split into training and internal validation cohort. Five machine learning techniques including gradient boosting machine, support vector machine, random forest, decision tree and neural network were used to build predictive models and area under the receiver-operating characteristic curve (AUC) were compared to select the best model. Finally, the model was further validated in an independent cohort from Hospital B.
Results
A total of 1003 patients were included in the study: 287 in the training cohort, 71 in the internal validation cohort, and 645 in the external validation cohort. Overall, 36.3% of patients achieved pCR. Among the five machine learning models, gradient boosting machine showed the highest AUC for pCR prediction (AUC 0.903, 95% CI 0.833–0.972). External validation confirmed AUC of 0.833 (95% CI 0.800-0.865).
Conclusion
We used commonly available clinical and demographic variables to develop a machine learning model to predict pCR following NAC. External validation of the model demonstrated good discrimination power, which showed that routinely collected variables are sufficient to build a good prediction model.
Etiology and Management of Binocular Diplopia after Cataract Surgery
Authors: Shi Minghua , Ye Yingjia , Qin Aijiao , Cheng Jing , Ren Hongxing , Chen Simin , Xing Yiqiao 
Published: September 2022

AbstractPURPOSE To explore the causes, treatment results, and possible preventive measures of binocular diplopia after cataract surgery METHODS We collected and analyzed the medical history of patients with binocular diplopia after cataract surgery from September 2011 to September 2021in our hospital, including operation type, cause of diplopia, and treatment results. RESULTS We studied 12 patients (average age, 73.7 ± 7.32 years) having developed diplopia after cataract surgery. Diplopia was explained in six cases by fusion weakness, three cases by incomplete extraocular paralysis, two cases by acquired central fusion disruption caused by perceptual exotropia, and one case by sensory fusion disruption. According to different etiologies, convergence exercises, hormone and vitamin therapy, and strabismus surgery were the approaches taken. Six cases (50%) recovered from diplopia, two (16.6%) showed improvement, and four (33.3%) showed treatment failure. CONCLUSION Decompensation of preexisting asymptomatic strabismus has become the main cause of binocular diplopia after cataract surgery. Improving the understanding of these diseases and their careful examination and reasonable treatment can reduce the extent of diplopia after cataract surgery to a certain extent, but it is difficult to completely eliminate it.
Multi-gene models for survival prognosis of colorectal cancer patients
Authors: Lu Zheng-Min , Zhang Huai-Yu , Zhang Ying-Hui , Yuan Wen-Li , Yan Ting-Ting , Shang xue qin 
Published: September 2022

Abstract
Background
The lack of effective prognostic models for colorectal cancer (CRC) makes it crucial to establish a reliable prognostic model for colorectal cancer. The aim of this study was to develop a reliable prognostic model in CRC. Using CRC samples from the TCGA database, a multi-gene combination model was screened for prognosis in CRC patients and the prognostic power of the multi-gene combination model was validated. We screened a multi-gene combination model for risk stratification and prognosis of CRC patients, which is important for individualised clinical treatment and long-term management of colorectal cancer patients.
Results
To solve these questions, we used data from colorectal cancer patients in the TCGA database to uncover differential genes, screened variables using one-way COX analysis and LASSO regression analysis, and then screened for the polygenic combination most associated with colorectal cancer and assessed its significance on survival events using multi-factor COX analysis and ROC curves to assess polygenic combinations. Finally, using gene enrichment analysis, the polygenic combinations were found to be associated with tRNA biosynthesis, homologous recombination, nucleotide excision repair, ribosome biogenesis in eukaryotes and DNA replication.
Conclusions
The multi-gene combination (FCGBP, GSTM1, IGLV4-69, IGSF9 and PCOLCE2) model screened in this study is capable of prognosticating colorectal cancer, and the findings of this study could shed new light on the prognosis of colorectal cancer in the clinical setting.
Plant and native microorganisms amplify the positive effects of microbial inoculant
Authors: Li Chong , Jia Zhaohui , Ma Shilin , Müller Christoph , Liu Xin , Zhang Jinchi 
Published: September 2022

Abstract
Aims: Microbial inoculants can be used to restore abandoned mines because of their positive effects on plant growth and soil nutrients. Currently, soils in greenhouse pot studies are routinely sterilized to eradicate microorganisms, allowing for better inoculant colonization. Large-scale field sterilization of abandoned mining site soils for restoration is difficult, though. In addition, microbial inoculants have an impact on plants. Plants also have an impact on local microbes. The interactions between microbial inoculants, native microorganisms, and plants, however, have not been studied.
Methods: We created a pot experiment utilizing the soil and microbial inoculant from a previous experiment because it promoted plant growth in that experiment. To evaluate the effects of the plant, native microorganisms, and microbial inoculants, we assessed several indicators related to soil elemental cycling and integrated them into the soil multifunctionality index.
Results: The addition of microbial inoculant and sterilizing treatment had a significant impact on alfalfa's growth. When exposed to microbial inoculant treatments, the plant and sterilization treatments displayed radically different functional characteristics, where most of the unsterilized plant treatment indices were higher than those of the others. The addition of microbial inoculant significantly increased soil multifunctionality in plant treatments, particularly in the unsterilization-plant treatment, where the increase in soil multifunctionality was 260%. The effect size result showed that the positive effect of microbial inoculant on soil multifunctionality and unsterilization-plant treatment had the most significant promotion effect.
Conclusion: Plant and native microorganisms amplify the positive effects of microbial inoculant.
Evaluation of Polyhydroxyalkanoate (PHA) Synthesis by Pichia Sp. TSLS24 Yeast Isolated in Vietnam
Authors: Thu Nguyen Thi Tam , Hoang Le Huy , Cuong Pham Kien , Viet-Linh Nguyen , Nga Tran Thi Huyen , Kim Dang Dinh , Leong Yoong Kit , Nhi-Cong Le Thi 
Published: September 2022

Abstract
Nowadays, polyhydroxyalkanoates (PHAs) is of great interest by scientists and biodegradable polymer market due to their outstanding properties such as high biodegradability in various conditions and processing flexibility. Many PHAs-synthesizing microorganisms, including normal and halophilic bacteria, and algae, were investigated. However, to the best of our knowledge, there is still little studies on PHAs-producing marine yeast. In the present study, a halophilic yeast strain isolated from Spratly Island in Vietnam were investigated for synthesis of PHA by growing the yeast in a specific medium containing Nile red dye. The strain was identified by 26S rDNA analysis as Pichia kudriavzevii TSLS24 and registered at Genbank database under code OL757724. The amount of PHA synthesized was quantified by measuring the intracellular materials (predicted as PHA) by gravimetric method, subsequently confirmed by Fourier transform infrared spectroscopic and nuclear magnetic resonance spectroscopic analyses. Under optimal growth conditions of 35 oC and pH 7 with supplementation of glucose and yeast extract at 20 and 10 g/L, the strain isolated achieved PHA content and concentration of 43.4% and 1.8 g/L. Degradation rate of PHA produced was 28% after 28 days of incubation in sea water.