bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using DNA barcoding to relate cystacanths and adults of Corynosoma australe (Acanthocephala: Polymorphidae) of the Southeastern Pacific Ocean (Off Peru Coast)
Authors: Mondragón-Martínez Aarón , Dávila-Rios Martín , Martínez-Rojas Rosa , Cruz-Neyra Lidia , Gorbeña Juan C. Ramos , Dávila-Robles Miguel , Garcia-Candela Enrique , De-Los-Santos Estrellita Rojas , Delgado-Escalante Abraham , Sanchez-Venegas J.R , Pulido-Murillo Eduardo A. 
Published: January 2023

Abstract
The objective of this study is to use DNA barcoding to relate cystacanths and adults belonging to the acanthocephalans genus Corynosoma found in the southeastern Pacific Ocean off the coast of Peru. For this, we sampled three species of commercial fish (Paralichthys adspersus, Paralabrax humeralis and Cheilodactylus variegatus) and two South American sea lions Otaria byronia stranded on the beaches of the city of Huacho and Barranca, department of Lima. A total of 509 larvae were found in the body cavity of 95 fish (total prevalence 54.28%, total mean intensity 8.64), moreover, a total of 127 adults were found in the large intestine of two South American sea lion (P = 100%, MI = 63.5). We isolated 203 larvae of P. humeralis (P = 65.71%; MI = 8.83; MA = 5.8), 235 (P = 54.29%; MI = 12.37; MA = 6.71) of C. variegatus and 71 (P = 42.86%; MI = 4.73; MA = 2.03) of P. adspersus. All adult and larval specimens were morphologically identified as Corynosoma sp. We performed phylogenetic analysis and generated cytochrome c oxidase subunit 1 (cox1) gene sequences that were compared with sequences available from GenBank. Likewise, using maximum likelihood (ML) and Bayesian inference (BI) revealed that the 16 new sequences (four adults and twelve larvae) were grouped into a clade formed by Corynosoma australe. Therefore, our results contribute to broaden the range of paratenic hosts as well as to record the presence of C. australe in the definitive host. In addition, it is the first analysis that confirms the presence of C. australe using DNA barcoding, allowing its geographical distribution to be extended to the Southeast Pacific Ocean off the coast of Peru.
Restored UBE2C expression in islets promotes β-cell regeneration in mice by ubiquitinating PER1
Authors: Jiang Hemin , Zheng Shuai , Qian Yu , Zhou Yuncai , Dai Hao , Liang Yucheng , He Yunqiang , Gao Rui , Lv Hui , Zhang Jie , Xia Zhiqing , Bian Wenxuan , Yang Tao , Fu Qi 
Published: January 2023

Abstract
Background
The limited proliferation capacity of β-cells contributes to insulin insufficiency, which promotes the onset of diabetes. β-cells secrete multiple beneficial substances, except for insulin; therefore, the regeneration mechanism of β-cells requires further study. Previously, ubiquitin-binding enzyme 2C (UBE2C) was reported to be downstream of the key β-cell transcription factor NKX6.1, but the specific function and mechanism of UBE2C in pancreatic islets remain unknown.
Methods
We performed islet perfusion, immunofluorescence staining, and transmission electron microscopy (TEM) to examine the role of UBE2C in mice with a Cre-loxP-constructed β-cell-specific knockout (βUbe2cKO) or overexpression through lentivirus infusion within the pancreatic ducts. Single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq, tandem mass tag (TMT) quantification proteomics, immunoprecipitation, and immunoblotting were conducted to explore the mechanisms by which UBE2C regulates β-cell proliferation.
Results
We discovered that ubiquitin-conjugating enzyme E2C (UBE2C) was highly expressed in a β-cell subgroup, which exhibited active proliferation capacity. We confirmed that UBE2C promotes β-cell compensatory proliferation by activating cell cycle renewal during a high-fat diet (HFD) and weaning. Consequently, β-cell-specific Ube2c knockout (βUbe2cKO) mice developed typical type 2 diabetes owing to β-cell loss caused by insulin insufficiency. Mechanistically, UBE2C combines with CUL1 to regulate PER1 degradation through ubiquitination. Notably, restored Ube2c expression in islets activated β-cell regeneration in streptozotocin (STZ)-induced diabetic mice, and alleviated diabetic hyperglycaemia and glucose intolerance.
Conclusion
This study indicates that UBE2C positively regulates β-cell proliferation by promoting ubiquitination and degradation of the biological clock suppressor PER1. The UBE2C-mediated beneficial effects on β-cells suggest a promising application in the treatment of diabetic patients with β-cell deficiency.
Symmetry Broken Josephson Junctions and Superconducting Diodes in Magic Angle Twisted Bilayer Graphene
Authors: Efetov Dmitri , Díez-Mérida Jaime , Díez-Carlón Andres , Yang Shuoying , Xie Yingming , Gao Xue-Jian , Watanabe Kenji , Taniguchi Takashi , Senior Jorden , Higginbotham Andrew , Lu Xiaobo , Law Kam Tuen 
Published: January 2023

Abstract
The simultaneous co-existence and gate-tuneability of the superconducting (SC), magnetic and topological orders in magic angle twisted bilayer graphene (MATBG) open up entirely new possibilities for the creation of complex hybrid Josephson junctions (JJ). Here we report on the creation of gate-defined, symmetry broken Josephson junctions in MATBG, where the weak link is gate-tuned close to the correlated state at a moiré filling factor of 𝛖 = -2. A highly unconventional Fraunhofer pattern emerges, in which supercurrent is carried by edge states, it is phase-shifted and asymmetric with respect to the current and magnetic field directions, and shows a pronounced magnetic hysteresis. Interestingly, our theoretical calculations of the JJ with a valley polarized υ = -2 with orbital magnetization as the weak link explain most of these unconventional features without fine tuning the parameters. While these unconventional Josephson effects persist up to the critical temperature Tc ~ 3.5 K of the superconducting state, at temperatures below T < 800 mK, we observed a pronounced magnetic hysteresis. We demonstrate how the combination of magnetization and its current induced magnetization switching in the MATBG JJ allows us to realize a programmable zero field superconducting diode, which represents a major building block for a new generation of superconducting quantum electronics.
Enabling endpoint development for interventional clinical trials in individuals with Angelman syndrome: a prospective, longitudinal, observational clinical study (FREESIAS)
Authors: Tjeertes Jorrit , Bacino Carlos A. , Bichell Terry Jo , Bird Lynne M. , Bustamante Mariana , Crean Rebecca , Jeste Shafali , Komorowski Robert W. , Krishnan Michelle L. , Miller Meghan T. , Nobbs David , Ochoa-Lubinoff Cesar , Parkerson Kimberly A. , Rotenberg Alexander , Sadhwani Anjali , Shen Mark D. , Squassante Lisa , Tan Wen-Hann , Vincenzi Brenda , Wheeler Anne C. , Hipp Joerg F. , Berry-Kravis Elizabeth 
Published: January 2023

Abstract
Background:
Angelman syndrome (AS) is a rare neurodevelopmental disorder with developmental, behavioral, and medical challenges caused by absence of functional UBE3A. AS has unmet treatment needs and no approved therapies address its underlying pathophysiology. To develop new therapies, comprehensive data are needed for identification of appropriate endpoints to assess meaningful improvements. The FREESIAS study evaluated the feasibility and utility of in-clinic and at-home measures of key AS symptoms, and potential biomarkers.
Methods:
Fifty-five individuals with AS (aged < 5 years: n = 16, 5–12 years: n = 27, ≥ 18 years: n = 12; deletion genotype: n = 40, nondeletion genotype: n = 15) and 20 typically developing children (aged 1–12 years) were enrolled across six USA sites. The study tested several clinical outcome assessments (COAs), overnight electroencephalography (EEG) with 19 leads and additional polysomnography (PSG) sensors, and several digital health technologies (DHTs). Assessments were planned for baseline (Clinic Visit 1) and 12 months later (Clinic Visit 2), and for intermittent home visits.
Results:
Most COAs had high completion rates, with 89–100% and 76–91% adherence at Clinic Visit 1 and Visit 2, respectively. Feasibility of and adherence to DHTs varied by assessment, and uptake of and/or adherence to some measures was impacted by COVID-19. Bayley-III results were comparable to available natural history data, which show similar scores between individuals aged > 18 and those aged 5–12 years. Better performance was observed on most COAs for participants without a deletion versus those with a deletion. PSG/EEG recordings at home visits were impacted by COVID-19 but otherwise feasible. The AS EEG phenotype of excess delta-band power measured here was consistent with prior reports.
Conclusions:
While feasible COAs and DHTs were identified based on adherence, improved measures to assess meaningful change in AS are needed. Remote assessment facilitated high adherence levels despite the COVID-19 pandemic and results suggested that at-home PSG/EEG may be a feasible alternative to in-clinic EEG assessments. These data support the selection of COAs for holistically assessing change in interventional clinical trials in AS. A combination of in-clinic and remote/at-home COAs, DHTs, and PSG/EEG can support protocol adherence, reduce patient burden, and optimize study outcomes in rare disease populations such as AS.
Smallest Scale Magnetic Field Compressions Generated by the Solar Wind Interaction with the Moon
Authors: Nakagawa Tomoko , Takahashi Futoshi , Saito Yoshifumi , Shimizu Hisayoshi 
Published: January 2023

Abstract
Short-period magnetic enhancements were detected by the MAP-LMAG magnetometer onboard Kaguya orbiting the moon in solar wind at an altitude of 100 km. The duration was typically 10 seconds, which corresponds to 0.5 degrees in latitude along the Kaguya orbit and a scale size of 15 km. The magnitude of the magnetic field was enhanced up to 1.5 to 3.6 times as large as that of the preceding quiet periods. No such magnetic enhancements were found in the upstream solar wind magnetic field. The short-period magnetic enhancements were categorized into 2 groups. One is the smallest scale limb compression detected at the terminator region of the moon in a nearly constant solar wind magnetic field. The magnetic field flared away from the moon consistently with the previously known limb compressions. It was detected in a low dynamic pressure of the solar wind, which is a favorable condition for the detection of limb compressions, with no recurrence. No intense local magnetic field was identified at the foot of the magnetic field line of the limb compression. The scale size deduced from the duration was as small as 11 km, 85 times as small as that of previously reported limb compressions. The other types of magnetic enhancements appeared at the magnetic discontinuities of the solar wind magnetic field, similar to the hot flow anomalies observed at the Earth’s bow shock. A similar high-pressure structure that compresses the ambient magnetic field can be generated by the solar wind ions reflected at the moon channeled back along the current sheet of a tangential discontinuity when the motional electric field points toward the current sheet. The hot ions themselves were not detected on the nightside of the moon, while the magnetic field compressed by the expanding region can penetrate through the moon to be detected as magnetic field enhancements on the nightside of the moon.
Rapid uptake of gold ions by sulfonated humic acid-derived phenolic resin composite with high adsorption capacity and selectivity
Authors: Hou Kun , Xu Xinshuai , Xiang Yong , Chen Xiangmeng , Lam Su Shiung , Ge Shengbo 
Published: January 2023

Abstract
Adsorption capacity, selectivity and adsorption rate are all important indicators to judge the performance of an adsorbent. At present, most of the studies on gold recovery with adsorbents have weakened the consideration of adsorption efficiency. Therefore, there is a need to develop an adsorbent with fast adsorption rate for gold ions to ensure high adsorption capacity and selectivity. Here, we report two humic acid-derived sulfonated resins (SHAR and NSHAR) using sulfuric acid and sodium sulfite as sulfonating agents respectively, which were prepared by a simple two-step method using water as solvent. They can recover Au(III) quickly and efficiently from mixed metals (Fe(III), Mn(Ⅱ), Cu(Ⅱ), Cr(III), Mg(Ⅱ), Ni(Ⅱ), Sn(Ⅱ), Co(Ⅱ), Pb(Ⅱ) and Zn(Ⅱ)). Adsorption behavior and mechanism of Au(III) on SHAR and NSHAR were studied. The Freundlich isotherm model and the Pseudo-second-order kinetic model are suitably for the description of Au(III) behavior meaning that the process belongs to multi-molecular chemical adsorption. Furthermore, adsorption thermodynamic study indicates that the adsorption of Au(III) on SHAR and NSHAR is endothermic and spontaneous. Different from conventional adsorbents, Au(III) are reduced to element gold and deposited on the adsorbent. NSHAR takes only 10 min to reach adsorption equilibrium, and the adsorption capacity is up to 927 mg·g− 1 (SHAR needs 50 min with capacity of 1440 mg·g− 1). This research provides a new scheme and idea for quickly and efficiently recovering gold.
Machine-learning predicts time-series prognosis factors in metastatic prostate cancer patients treated with androgen deprivation therapy
Authors: Saito Shinpei , Sakamoto Shinichi , Higuchi Kosuke , Sato Kodai , Zhao Xue , Wakai Ken , Kanesaka Manato , Kamada Shuhei , Takeuchi Nobuyoshi , Sazuka Tomokazu , Imamura Yusuke , Anzai Naohiko , Ichikawa Tomohiko , Kawakami Eiryo 
Published: January 2023

Abstract
Machine learning technology is expected to support diagnosis and prognosis prediction in medicine. We used machine learning to construct a new prognostic prediction model for prostate cancer patients based on longitudinal data obtained from age at diagnosis, peripheral blood and urine tests of 340 prostate cancer patients. Random survival forest (RSF) and survival tree were used for machine learning. In the time-series prognostic prediction model for metastatic prostate cancer patients, the RSF model showed better prediction accuracy than the conventional Cox proportional hazards model for almost all time periods of progression-free survival (PFS), overall survival (OS) and cancer-specific survival (CSS). Based on the RSF model, we created a clinically applicable prognostic prediction model using survival trees for OS and CSS by combining the values of lactate dehydrogenase (LDH) before starting treatment and alkaline phosphatase (ALP) at 120 days after treatment. Machine learning provides useful information for predicting the prognosis of metastatic prostate cancer prior to treatment intervention by considering the nonlinear and combined impacts of multiple features. The addition of data after the start of treatment would allow for more precise prognostic risk assessment of patients and would be beneficial for subsequent treatment selection.
"God is my psychologist": How explanatory models of mental health influence healthcare-seeking behaviour among first generation East-African migrants in Belgium
Authors: Apers Hanne , Praag Lore Van , Nöstlinger Christiana , de Velde Sarah Van 
Published: January 2023

Abstract

Background: Explanatory models of mental health are culturally and socially defined and influence mental healthcare-seeking behaviour. This qualitative study explores the explanatory models of mental health among first-generation East-African migrants in Belgium and how these models influence their mental healthcare-seeking behaviour.
Methods: Thirty in-depth interviews were conducted and analysed in a reflexive, thematical manner.
Results: Results show that participants perceived discrepancies in how mental health is conceptualised between their region of origin and Belgium. In their cultures of origin, mental health is associated with 'craziness', and causes are rather sought in social, religious, or supernatural contexts. Participants also experienced differences in the openness to discuss mental health. Most participants held on to the mental healthcare-seeking behaviour of their country of origin: they relied on informal social and religious support systems and did not seek conventional mental healthcare. Participants who were more familiar with the prevailing explanatory models within Belgium, were more likely to use conventional mental health services.
Conclusions: Participants generally hold on to help-seeking strategies as applied in their countries of origin, but are more prone towards using conventional services if they are more familiar with or are positively oriented towards adopting aspects of the dominant explanatory model of mental health. Further research is needed to study the link between integration processes and mental healthcare-seeking behaviour.
Anti-Alzheimers molecular mechanism of icariin: Insights from gut microbiota and metabolome combined network pharmacology
Authors: Liu Yuqing , Li Hongli , Wang Xiaowei , Huang Jianghua , Zhao Di , Tan Yejun , Zhang Zheyu , Zhang Zhen , Zhu Lemei , Wu Beibei , Chen Zhibao , Peng Weijun 
Published: January 2023

Abstract
Background
Icariin (ICA), an active ingredient extracted from a natural plant called Epimedii, has shown a broad application prospect in the treatment of Alzheimer's disease (AD). Nevertheless, its potential therapeutic mechanism remains largely unknown.The present study aims to investigate the therapeutic effect and the underlying mechanism of ICA on AD by an integrated analysis of gut microbiota and metabolomics.
Methods
The cognitive impairment of mice was measured using the Morris Water Maze. Hematoxylin and eosin staining was used to identify the AD-induced pathologic change. 16S rRNA sequencing and multi-metabolomics were performed to analyze the alterations in microbiota and serum/fecal metabolism.
Results
Our results demonstrated that ICA intervention could markedly improve cognitive dysfunction in APP/PS1 mice and typical AD pathologies in the hippocampus of APP/PS1 mice. Gut microbiota analysis showed that ICA administration could reverse the imbalance of gut microbes in APP/PS1 mice by elevating the proportion of Akkermansia and reducing the proportion of Alistipe. Metabolomic analysis revealed AD-induced metabolic disorder was improved by ICA via glycerophospholipid metabolism and sphingolipid metabolism. Correlation analysis suggested that these were closely related to the abundance of Alistipe and Akkermansia.
Conclusion
These findings indicated that ICA may serve as a promising therapeutic approach for AD, and that the ICA-mediated protective effects were associated with the amelioration of microbiota disturbance and metabolic disorder.
Fusion of multi-regression models based on the histogram information for blood glucose estimation
Authors: Wei Yiting , Guo Weizhi , Ling Bingo Wing-Kuen , Dai Yuheng , Liu Qing 
Published: January 2023

Abstract
Diabetes is a chronic disease that severely degrades the human health. Hence, the blood glucose estimation plays an important role for monitoring the diabetic condition. In order to better estimate the blood glucose values, the multi-regression models are employed. It is worth noting that increasing the total number of the regression models would decrease the regression error. Therefore, this paper proposes a method for fusing the various regression models together based on the histogram information of the blood glucose values in the training set. The computer numerical simulation results show that the regression error yielded by our proposed method is significantly lower than those yielded by the existing methods. Also, our proposed method is also applicable for other regression applications.
Bio-synthesis of lead oxide nanoparticles using Chinese Mahogany plant extract (CMPE@LO) for photocatalytic and antimicrobial activities
Authors: Sharma Arush , Kumar Ajay , Gautam Manjula , Kumari Swati , Thakur Manita 
Published: January 2023

Abstract
The current study describes the plant-mediated synthesis of lead oxide nanoparticles using a plant extract from Chinese Mahogany. The prepared nanoparticles were characterized using techniques like Fourier transform infrared spectrogram (FTIR), X-ray diffractometer (XRD), field emission scanning electron microscope (FESEM), high resolution transmission electron microscope (HRTEM) and thermo-gravimetric analysis (TGA). XRD results confirmed the crystalline nature of the nanoparticles. The Chinese Mahogany plant extract-lead oxide (CMPE@LO) nanoparticles were used to evaluate photocatalytic behavior against fast green (FG). It was observed that 90.22 % of fast green (FG) has been removed within 3 hours. The various operating parameters such as effect of time, concentration of fast green and photo catalyst amount were also studied and optimized for maximum removal. The kinetic study was investigated using pseudo-first model having good value of regression coefficient (R2). The antibacterial properties of the prepared nanoparticle against several bacteria including B. subtilis, S. aureus, and E. coli, were also investigated. The synthesized CMPE@LO nanoparticles shows higher zone of inhibition as compared to inorganic or organic moiety.
The five-item modified frailty index predicts long-term outcomes in elderly patients undergoing colorectal cancer surgery
Authors: Ogata Toshiro , Sadakari Yoshihiko , Nakane Hiroyuki , Koikawa Kazuhiro , Kanno Hiroki , Kohata Ryo , Endo Kayoko , Tsukahara Takao , Shimonaga Koichiro , Kaneshiro Kazuhisa , Hirokata Gentaro , Aoyagi Takeshi , Tsutsumi Chiyo , Taniguchi Masahiko 
Published: January 2023

AbstractBackground.Frailty has been globally recognized as a predictor of adverse postoperative outcome. A frailty assessment using the five-factor modified frailty index (5-mFI) has recently gained traction; however, long-term outcomes are largely unknown in colorectal cancer (CRC) surgery. This study aimed to investigate whether the 5-mFI predicted long-term survival and cause of death based on severity of frailty in elderly patients with CRC surgery, as well as to determine risk factors for mortality.Methods.299 patients underwent CRC surgery with curative intent between January 2013 and December 2017. Patients were divided into three groups based on their 5-mFI score: group 1 (5-mFI: 0, 1; n=164) with no frailty, group 2 (5-mFI: 2; n=91) with moderate frailty, and group 3 (5-mFI≧3; n=44) with severe frailty. Clinicopathological variables including comorbidity, 5-mFI, prognostic nutrition index (PNI), operative/postoperative data, and outcome including cause of death were compared among three groups. To identify factors associated with death from CRC and non-CRC-related causes, univariate and multivariate analyses using the Cox regression model were performed.Results.Immediate postoperativemorbidity of patients with Clavien-Dindo grades of III or greater (9.1%) in group 3 were not statistically different from that in group 1 (9.1%) or group 2 (14.3%); however, the 30-day mortality rate (4.5%) in group 3 was significantly higher. Long-term disease-free survival was similar among frailty groups, suggesting CRC surgery provides oncological benefit to patients irrespective of frailty. The 5-year survival in groups 1, 2, and 3 were 83.5%, 71.2%, and 47.9%, respectively, showing a significantly lower survival rate as frailty advances. Sixty percent of deaths in frail patients were primarily from respiratory failure and cardiovascular diseases. Multivariate analysis demonstrated that advanced age, higher 5-mFI, and longer postoperative hospital stay were risk factors for mortality unrelated to CRC. Multivariate analysis also revealed that advanced tumor stage, CEA>5 ng/ml, undifferentiated tumorand R1 resection were risk factors for CRC death.Conclusion.The 5-mFI can be a predictor of postoperative short- and long- term outcomes and risk factors for mortality unrelated to CRC. In addition, long-term survival was shown to be negatively associated with the 5-mFI score.