bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic expression of Mage-D1 in rat dental germs and potential role in mineralization of ectomesenchymal stem cells
Authors: Li Meng , Yu Xia , Luo Yuting , Yuan Hongyan , Zhang Yixing , Wen Xiujie , zhou Zhi 
Published: December 2022

AbstractMage-D1 (MAGE family member D1) is involved in a variety of cell biological effects. Recent studies have shown that Mage-D1 is closely related to tooth development, but its specific regulatory mechanism is unclear. The purpose of this study was to investigate the expression pattern of Mage-D1 in rat dental germ development and its differential mineralization ability to ectomesenchymal stem cells (EMSCs), and to explore its potential mechanism. Results showed that the expression of Mage-D1 during rat dental germ development was temporally and spatially specific. Mage-D1 promotes the proliferation ability of EMSCs but inhibits their migration ability. Under induction by mineralized culture medium, Mage-D1 promotes osteogenesis and tooth-forming ability. Furthermore, the expression pattern of Mage-D1 at E19.5 d rat dental germ is similar to p75 neurotrophin receptor (p75NTR), distal-less homeobox 1 (Dlx1) and msh homeobox 1 (Msx1). In addition, Mage-D1 is binding to p75NTR, Dlx1, and Msx1 in vitro. These findings indicate that Mage-D1 is play an important regulatory role in normal mineralization of teeth. p75NTR, Dlx1, and Msx1 seem to be closely related to the underlying mechanism of Mage-D1 action.
Analysis of factors influencing surface settlement during shield construction of a double-line tunnel in a mudstone area
Authors: Yuan Chengwang , Zhang Min , Ji Shengcai , Li Jiwei , Jin Lihaolin 
Published: December 2022

AbstractUrban rail transit is widely used in major cities worldwide due to its high efficiency, safety, and environmental friendliness. Shield construction has a fast excavation speed and a negligible impact on ground transportation; thus, it is the preferred construction method for urban rail transit tunnels. Mudstone is a widely distributed soft rock characterized by large deformation, low strength, and significant rheological differences in different areas. Mudstone causes problems in the design and construction of subways. This paper uses finite element analysis to establish a three-dimensional numerical model of a double-line tunnel in a weathered mudstone area and analyze the influence of the stratum, design, and construction parameters on surface settlement and deformation during asynchronous and simultaneous shield construction. The research results show that the lateral surface settlement curve obtained from the simulation is consistent with the measured data, demonstrating the reliability and feasibility of the three-dimensional numerical model. The surface settlement is affected by the deformation modulus, cohesion, and the angle of internal friction, and the deformation modulus has the most significant impact. The surface settlement decreases as the buried depth of the tunnel or the distance between the two center lines of the two tunnels increases. As the buried depth of the double-lane tunnel decreases or the distance between the two center lines of the two tunnels increases to a certain value, the lateral surface settlement curve exhibits two peaks. The surface settlement shows a decreasing trend with an increase in the thrust of the shield machine and an improvement in the grouting quality. However, excess grouting pressure causes surface uplift and a subsequent increase in surface subsidence.
DIA mass spectrometry characterizes urinary proteomics in neonatal and adult donkeys
Authors: Yu Feng , Chen Yifan , Liu Bo , Wang Tao , Ding Zhaoliang , Yi Ziwen , Zhu Yiping , Li Jing 
Published: December 2022

AbstractHealth monitoring is critical for newborn animals due to their vulnerability to diseases. Urine can be not only a useful and non-invasive tool (free-catch samples) to reflect the physiological status of animals but also to help monitor the progression of diseases. Proteomics involves the study of the whole complement of proteins and peptides, including structure, quantities, functions, variations and interactions. In this study, urinary proteomics of neonatal donkeys were characterized and compared to the profiles of adult donkeys to provide a reference database for healthy neonatal donkeys. The urine samples were collected from male neonatal donkeys on their sixth to tenth days of life (group N) and male adult donkeys aging 4–6 years old (group A). Library-free data-independent acquisition (direct DIA) mass spectrometry-based proteomics were applied to analyze the urinary protein profiles. Total 2179 urinary proteins were identified, and 411 proteins were differentially expressed (P < 0.05) between the two groups. 104 proteins were exclusively expressed in group N including alpha fetoprotein (AFP), peptidase-mitochondrial processing data unit (PMPCB), and upper zone of growth plate and cartilage matrix associated (UCMA), which might be used to monitor the health status of neonatal donkeys. In functional analysis, some differentially expressed proteins were identified related to immune system pathways, which might provide more insight in the immature immunity of neonatal donkeys. To the best of our knowledge, this is the first time to report donkey urinary proteome and our results might provide reference for urinary biomarker discovery used to monitor and evaluate health status of neonatal donkeys.
Communities' awareness of afforestation and its contribution to the conservation of lizards in Dodoma, Tanzania
Authors: Ngongolo Kelvin , Kilonzo Mhuji 
Published: December 2022

AbstractAfforestation is providing the remedy for deforestation, which is among the greatest challenges of biodiversity conservation in Tanzania. Efforts for afforestation are taking place in Dodoma, which are anticipated to have social and ecological positive effects. This study provides information on the perception of local communities towards afforestation and how afforestation can harbor other wildlife species like lizards. A semi-structured questionnaire was used to collect information from respondents who were chosen at random in the afforestation area. Pitfalls and direct observation under constrained time intervals were used to sample lizards in two categories of vegetation (afforested and non-afforested areas; n = 1040 samples). Awareness of afforestation was significantly affected by age group (P < 0.005) and nature of course taking. In this case, those who studied natural courses like biology, forest, and aquatic science were more aware of afforestation and they had a likelihood of being involved in afforestation programs (P < 0.05). Eight species of lizards were identified in the study area where seven species were found in afforested areas while three were found in non-afforested areas, whereAgama lionotuswas the dominant species.The diversity of lizards was higher in afforested areas (Shannon Weiner index H = 1.37) than in non-afforested areas (Shannon Weiner index H = 0.99). More afforestation program awareness and conservation education are required to ensure the sustainability of afforestation efforts in Dodoma. Afforestation showed a significant contribution to the conservation of lizards. Lizards can be used as good indicator species to understand and monitor the success of afforestation.
The clinical utility of integrative genomics in childhood cancer extends beyond targetable mutations
Authors: Villani Anita , Davidson Scott , Kanwar Nisha , Lo Winnie W. , Li Yisu , Cohen-Gogo Sarah , Fuligni Fabio , Edward Lisa-Monique , Light Nicholas , Layeghifard Mehdi , Harripaul Ricardo , Waldman Larissa , Gallinger Bailey , Comitani Federico , Brunga Ledia , Hayes Reid , Anderson Nathaniel D. , Ramani Arun K. , Yuki Kyoko E. , Blay Sasha , Johnstone Brittney , Inglese Cara , Hammad Rawan , Goudie Catherine , Shuen Andrew , Wasserman Jonathan D. , Venier Rosemarie E. , Eliou Marianne , Lorenti Miranda , Ryan Carol Ann , Braga Michael , Gloven-Brown Meagan , Han Jianan , Montero Maria , Spatare Famida , Whitlock James A. , Scherer Stephen W. , Chun Kathy , Somerville Martin J. , Hawkins Cynthia , Abdelhaleem Mohamed , Ramaswamy Vijay , Somers Gino R. , Kyriakopoulou Lianna , Hitzler Johann , Shago Mary , Morgenstern Daniel A. , Tabori Uri , Meyn Stephen , Irwin Meredith S. , Malkin David , Shlien Adam 
Published: December 2022

AbstractWe conducted integrative somatic–germline analyses by deeply sequencing 864 cancer-associated genes, complete genomes and transcriptomes for 300 mostly previously treated children and adolescents/young adults with cancer of poor prognosis or with rare tumors enrolled in the SickKids Cancer Sequencing (KiCS) program. Clinically actionable variants were identified in 56% of patients. Improved diagnostic accuracy led to modified management in a subset. Therapeutically targetable variants (54% of patients) were of unanticipated timing and type, with over 20% derived from the germline. Corroborating mutational signatures (SBS3/BRCAness) in patients with germline homologous recombination defects demonstrates the potential utility of PARP inhibitors. Mutational burden was significantly elevated in 9% of patients. Sequential sampling identified changes in therapeutically targetable drivers in over one-third of patients, suggesting benefit from rebiopsy for genomic analysis at the time of relapse. Comprehensive cancer genomic profiling is useful at multiple points in the care trajectory for children and adolescents/young adults with cancer, supporting its integration into early clinical management.
Multiomics in primary and metastatic breast tumors from the AURORA US network finds microenvironment and epigenetic drivers of metastasis
Authors: Garcia-Recio Susana , Hinoue Toshinori , Wheeler Gregory L. , Kelly Benjamin J. , Garrido-Castro Ana C. , Pascual Tomas , De Cubas Aguirre A. , Xia Youli , Felsheim Brooke M. , McClure Marni B. , Rajkovic Andrei , Karaesmen Ezgi , Smith Markia A. , Fan Cheng , Ericsson Paula I. Gonzalez , Sanders Melinda E. , Creighton Chad J. , Bowen Jay , Leraas Kristen , Burns Robyn T. , Coppens Sara , Wheless Amy , Rezk Salma , Garrett Amy L. , Parker Joel S. , Foy Kelly K. , Shen Hui , Park Ben H. , Krop Ian , Anders Carey , Gastier-Foster Julie , Rimawi Mothaffar F. , Nanda Rita , Lin Nancy U. , Isaacs Claudine , Marcom P. Kelly , Storniolo Anna Maria , Couch Fergus J. , Chandran Uma , Davis Michael , Silverstein Jonathan , Ropelewski Alexander , Liu Minetta C. , Hilsenbeck Susan G. , Norton Larry , Richardson Andrea L. , Symmans W. Fraser , Wolff Antonio C. , Davidson Nancy E. , Carey Lisa A. , Lee Adrian V. , Balko Justin M. , Hoadley Katherine A. , Laird Peter W. , Mardis Elaine R. , King Tari A. ,   AURORA US Network, De Cubas Aguirre A. , Perou Charles M. 
Published: December 2022

AbstractThe AURORA US Metastasis Project was established with the goal to identify molecular features associated with metastasis. We assayed 55 females with metastatic breast cancer (51 primary cancers and 102 metastases) by RNA sequencing, tumor/germline DNA exome and low-pass whole-genome sequencing and global DNA methylation microarrays. Expression subtype changes were observed in ~30% of samples and were coincident with DNA clonality shifts, especially involving HER2. Downregulation of estrogen receptor (ER)-mediated cell–cell adhesion genes through DNA methylation mechanisms was observed in metastases. Microenvironment differences varied according to tumor subtype; the ER+/luminal subtype had lower fibroblast and endothelial content, while triple-negative breast cancer/basal metastases showed a decrease in B and T cells. In 17% of metastases, DNA hypermethylation and/or focal deletions were identified nearHLA-Aand were associated with reduced expression and lower immune cell infiltrates, especially in brain and liver metastases. These findings could have implications for treating individuals with metastatic breast cancer with immune- and HER2-targeting therapies.
Harnessing low dimensionality to visualize the antibody–virus landscape for influenza
Authors: Einav Tal , Creanga Adrian , Andrews Sarah F. , McDermott Adrian B. , Kanekiyo Masaru 
Published: December 2022

AbstractAntibodies constitute a key line of defense against the diverse pathogens we encounter in our lives. Although the interactions between a single antibody and a single virus are routinely characterized in exquisite detail, the inherent tradeoffs between attributes such as potency and breadth remain unclear. Moreover, there is a wide gap between the discrete interactions of single antibodies and the collective behavior of antibody mixtures. Here we develop a form of antigenic cartography called a ‘neutralization landscape’ that visualizes and quantifies antibody–virus interactions for antibodies targeting the influenza hemagglutinin stem. This landscape transforms the potency–breadth tradeoff into a readily solvable geometry problem. With it, we decompose the collective neutralization from multiple antibodies to characterize the composition and functional properties of the stem antibodies within. Looking forward, this framework can leverage the serological assays routinely performed for influenza surveillance to analyze how an individual’s antibody repertoire evolves after vaccination or infection.
A machine learning route between band mapping and band structure
Authors: Xian R. Patrick , Stimper Vincent , Zacharias Marios , Dendzik Maciej , Dong Shuo , Beaulieu Samuel , Schölkopf Bernhard , Wolf Martin , Rettig Laurenz , Carbogno Christian , Bauer Stefan , Ernstorfer Ralph 
Published: December 2022

AbstractThe electronic band structure and crystal structure are the two complementary identifiers of solid-state materials. Although convenient instruments and reconstruction algorithms have made large, empirical, crystal structure databases possible, extracting the quasiparticle dispersion (closely related to band structure) from photoemission band mapping data is currently limited by the available computational methods. To cope with the growing size and scale of photoemission data, here we develop a pipeline including probabilistic machine learning and the associated data processing, optimization and evaluation methods for band-structure reconstruction, leveraging theoretical calculations. The pipeline reconstructs all 14 valence bands of a semiconductor and shows excellent performance on benchmarks and other materials datasets. The reconstruction uncovers previously inaccessible momentum-space structural information on both global and local scales, while realizing a path towards integration with materials science databases. Our approach illustrates the potential of combining machine learning and domain knowledge for scalable feature extraction in multidimensional data.
Real‐time transmission switching with neural networks
Authors: Bugaje Al‐Amin B. , Cremer Jochen L. , Strbac Goran 
Published: December 2022

AbstractThe classical formulation of the transmission switching problem as a mixed‐integer problem is intractable for large systems in real‐time control settings. Several heuristics have been proposed in the past to speed up the computation time, which only limits the number of switchable lines. In this paper, a real‐time switching heuristic based on neural networks that provides almost instantaneous switching actions, are presented. The findings are shown on case studies of the IEEE 118‐bus test system, and the results show that the proposed heuristic is robust to out of distribution data. Additionally, the proposed heuristic has significant computational savings while all other performance metrics like accuracy are similar to state‐of‐the‐art machine learning methods proposed for transmission switching.
Gas production mechanism of Irgamet 39 and its long‐term corrosion resistance
Authors: Xiang Huiying , Yuan Yuan , Liu Guoyong , Gao Xue , Zhang Cheng , Zhou Jiang , Liao Ruijin 
Published: December 2022

AbstractThe phenomenon of transformer failure caused by oil‐sulphur corrosion of oil₋paper insulation system has always been concerned by scholars. Irgamet 39 is the most used metal passivator for inhibiting sulphur corrosion. However, Irgamet 39 causes abnormal dissolved gas in oil during the process of exerting anti‐corrosion effect. Herein, the gas production mechanism of Irgamet 39 and its long‐term corrosion resistance were investigated. Compared with other metal passivators, the Irgamet 39 produces more dissolved gases in oil, especially H2, CO and CO2. The main sources of free radicals in the gas production process are from the branched chains of the Irgamet 39 structure (−CH2N(C8H17)2 and −CH3). Furthermore, the ageing products of insulating paper and oil promote the cleavage of the chain in the Irgamet 39 molecule, which then causes Irgamet 39 to generate more dissolved gases. Irgamet 39 exhibits excellent long‐term corrosion inhibition properties,while it also leads to abnormal gases in the oil, which can affect the interpretation of the dissolved gas analysis data and thus interfere with the diagnosis. This work provides useful information for the practical application of Irgamet 39 and helps electrical workers make reasonable predictions for transformer problems.
Distributed coordinated control method with multiple objectives optimization algorithm for wind farms
Authors: Bai Guan , Feng Yaojing , Huang Sheng , Wang Pengda 
Published: December 2022

AbstractThis paper proposes a distributed coordinated control (DCC) method. The DCC method concentrates on improving the performances of fatigue load minimization and voltage regulation of WFs. The active and reactive power outputs of the wind turbines (WTs) inside WFs are coordinated while the power flow of WF collection system and capacity of each WT are considered by using DistFlow model. With the consensus ADMM‐based framework, the WTs inside the WF are operated in fully distributed manner while meeting the requirement of the dispatch command of the transmission system operator (TSO). The WF can track the dispatch command from the TSO accurately without the coordination of central unit. Moreover, it is more scalable and lower computation‐burden than conventional centralized optimal control. A wind farm consisting of 20 WTs is used in case study to verify the effectiveness of the proposed control method.
Electronic Medical Record–Based Electronic Messaging Among Patients with Breast Cancer: A Systematic Review
Authors: Conroy Meghan , Powell Miracle , Suelzer Elizabeth , Pamulapati Saagar , Min Heun , Wright Tamiah , Kamaraju Sailaja 
Published: December 2022

Abstract
Background Electronic medical record (EMR) systems and electronic messages are an increasingly common conduit between physicians and patients. Clear benefits of this type of communication have been established, especially among cancer patients. Studies suggest that patient portals and electronic messaging platforms can help with care coordination between oncology providers and facilitate asynchronous patient-provider communication. Despite the many benefits, there is little research regarding EMR and secure messaging use, particularly among patients with breast cancer.
Objectives The objective of this systematic review was to examine the evidence supporting the use of EMR-based messaging systems in patients with breast cancer.
Methods A systematic literature search of Ovid MEDLINE, PubMed, Scopus, Web of Science CINAHL, and Cochrane Library was conducted. Studies were required to be published between 2005 and 2022 and report data on demographic information and electronic messaging between patients and providers. Studies were excluded if they reported insufficient data, did not include breast cancer patients, or were not published in English.
Results This study identified 10 articles that met inclusion criteria. The resulting studies investigated topics such as: patterns of messaging and medication adherence, cancer screening, messaging as a predictor of behavior or outcomes, and symptom management. The literature indicates that electronic messaging with providers was associated with clinical benefits for breast cancer patients and improved screening behaviors.
Conclusion This review uncovered multiple areas to focus future research on, including ideal volume of electronic messages sent and their relation to prescription adherence, studies focusing solely on the breast cancer population, racial disparities in electronic messaging, and provider perceptions of electronic messaging. It is vital that more work be done to understand barriers and gaps in EMR usage to ensure that all individuals can access this increasingly essential medical service while minimizing physician workload and burnout.
Historical Profiling of Dry Eye Patients – Potential Trigger Factors and Comorbidities
Authors: Posa Andreas , Sel Saadettin , Dietz Richard , Sander Ralph , Paulsen Friedrich , Bräuer Lars , Hammer Christian 
Published: December 2022

Abstract
Purpose Dry eye syndrome (DES) is one of the most common diseases of the ocular surface. Affected persons suffer from different subjective complaints, with sometimes severe
impairment in the quality of life. The aetiology and pathogenesis are multifactorial, multifaceted, and not yet fully understood. The present study is intended to provide deeper insights
into possible triggering factors and correlating comorbidities.
Materials and Methods In German ophthalmological practices, 306 persons (174 women, 132 men, age: 18 – 87 years) were interviewed by questionnaire on concomitant diseases and
possible further triggering factors. DES was diagnosed by an ophthalmologist in 170 cases. The statistical comparative analysis between persons with and without DES was carried out using the
chi-squared test (SPSS statistical software).
Results DES occurred with significantly (p < 0.05) increased frequency in women over 40 years of age, as well as in persons exposed to screen work, air conditioning, persons with
chronic ocular inflammation, myomas (hysterectomy), dry skin, arterial hypertonicity in need of medication, cardiac arrhythmias, fatty liver, gastric ulcer, appendicitis, cholecystectomy,
depression, hyperlipidaemia, hyperuricaemia, osteoporosis, and nephrolithiasis.
Conclusion Some of the known comorbidities and DES risk factors, e.g., computer work or depression, were confirmed. In contrast, the higher prevalence of hyperlipidaemia,
hyperuricaemia, osteoporosis, nephrolithiasis, and fibroids among DES patients has not previously been reported. Additional studies should be performed on causal connections between DES and
specific comorbidities.