bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of prognostic indicators, diagnostic markers, and possible therapeutic targets among LIM homeobox transcription factors in breast cancer
Authors: Gao Pingping , Sun Na , Zhao Tingting , Sun Yuanyuan , Gu Jing , Ma Dandan , Tian Hao , Peng Zaihui , Zhang Yi , Han Fei , Qi Xiaowei 
Published: September 2022

AbstractBackgroundBreast cancer (BRCA) is the most common malignant tumor among women worldwide. Despite advances in treatment, many patients still die from a lack of effective diagnostic and prognostic markers and powerful therapeutic targets. LIM homeobox genes (LHXs) play vital roles in regulating the development of various organisms. However, there are limited reports regarding their roles in the diagnosis, prognosis, and treatment of BRCA.MethodsUALCAN, Kaplan–Meier plotter, cBioPortal, GeneMANIA, STRING, DAVID 6.8, TRRUST v2, LinkedOmics, and TIMER were utilized to analyze differential expression, prognostic value, genetic alteration, neighbor gene network, transcription factor targets, kinase targets, and immune cell infiltration of LHXs in BRCA patients.ResultsLHX gene expression patterns are clear in BRCA and its different subtypes. Further analyses indicated that this altered expression is possibly affected by genetic and/or epigenetic changes. The prognostic and diagnostic values of certain LHXs are unique to different BRCA subtypes. LHXs are mainly involved in the regulation of differentiation and development, and their neighbor genes are primarily involved in cancer‐related pathways. Moreover, most LHXs are closely correlated with immune cell infiltration. Furthermore, LHXs may exert their functions by regulating a series of transcription factor and kinase targets.ConclusionsLHXs are unique diagnostic and prognostic markers and participate in cancer through different signaling pathways and/or regulatory mechanisms in BRCA. This study provides potential applications of LHXs for the diagnosis, prognosis, and treatment of BRCA and its different subtypes.
Biomarkers for pancreatic cancer based on tissue and serum metabolomics analysis in a multicenter study
Authors: Zhao Rui , Ren Shuai , Li Changyin , Guo Kai , Lu Zipeng , Tian Lei , He Jian , Zhang Kai , Cao Yingying , Liu Shijia , Li Donghui , Wang Zhongqiu 
Published: September 2022

AbstractBackgroundEarly detection of pancreatic ductal adenocarcinoma (PDAC) may improve the prognosis of patients. This study was to identify metabolic features of PDAC and to discover early detection biomarkers for PDAC by tissue and serum metabolomics analysis.MethodsWe conducted nontargeted metabolomics analysis in tissue samples of 51 PDAC tumors, 40 noncancerous pancreatic tissues (NT), and 14 benign pancreatic neoplasms (BP) as well as serum samples from 80 patients with PDAC, 36 with BP, and 48 healthy controls (Ctr). The candidate metabolites identified from the initial analysis were further quantified using targeted analysis in serum samples of an independent cohort of 22 early stage PDAC, 27 BP, and 27 Ctr subjects. Unconditional binary logistic regression analysis was used to construct the optimal model for PDAC diagnosis.ResultsUpregulated levels of fatty acids and lipids and downregulated amino acids were observed in tissue and serum samples of PDAC patients. Proline, creatine, and palmitic acid were identified as a panel of potential biomarkers to distinguish PDAC from BP and Ctr (odds ratio = 2.17, [95% confidence interval 1.34–3.53]). The three markers showed area under the receiver‐operating characteristic curves (AUCs) of 0.854 and 0.865, respectively, for the comparison of PDAC versus Ctr and PDAC versus BP. The AUCs were 0.830 and 0.852 in the validation set and were improved to 0.949 and 0.909 when serum carbohydrate antigen 19‐9 (CA19‐9) was added to the model.ConclusionThe novel metabolite biomarker panel identified in this study exhibited promising performance in distinguishing PDAC from BP or Ctr, especially in combination with CA19‐9.
Porous Metal Organic Frameworks as Multifunctional Catalysts for Cyclohexane Oxidation
Authors: Dhakshinamoorthy Amarajothi , López‐Francés Anton , Navalon Sergio , Garcia Hermenegildo 
Published: September 2022

AbstractCatalysis drives the conversion of substrates to the wanted products under amenable reaction conditions. In this context, one reaction that is particularly important from the industrial point of view is cyclohexane aerobic oxidation to a mixture of the corresponding cyclohexanone and cyclohexanol. This industrial oxidation is key for the production of Nylon 6 and Nylon 6,6, two polyamides of growing production. The industrial process is clearly unsatisfactory since it is run at low cyclohexane conversions to avoid the formation of complex mixtures, difficult to isolate. The present review shows the progress made in the use of metal‐organic frameworks as solid catalysts for this important reaction, with emphasis in the intrinsic activity of metal nodes, tuning of the polarity of the internal voids or incorporation of active metal nanoparticles. It is shown that using MOFs as catalysts, it is possible to reach high cyclohexane conversions, while the combined alcohol+ketone selectivity still close to the 90 % limit.
Evaluation and Optimization of an Export Gas Compressor in a Natural Gas Project
Authors: Noaman Abdelaziz A. 
Published: September 2022

AbstractThe possibility of removing the export gas compressor from the central process facilities (CPF) in a gas project and enlarging the size of the gas export pipeline from the CPF to reduce the total capital expenditure (CAPEX) and operating expenditure (OPEX) is evaluated. Adding the export gas compressor to the CPF will increase the carbon footprint of the CPF, the power requirements of the CPF, and the emission of greenhouse gases. The CPF equipment would be designed for a lower operating pressure which leads to larger equipment sizes. PIPESIM and HYSYS software were used to simulate the CPF and different sizes of the export gas pipeline. With an export gas pipeline size smaller than 24”, an export gas compressor is required for the CPF, and as the pipeline size is reduced, the compressor power requirement will rise. CAPEX and OPEX comparisons were conducted between adding the export gas compressor or enlarge the size of the export gas pipeline. CAPEX and OPEX decline with larger pipeline size.
Atomic‐level insight of sulfidation‐engineered Aurivillius‐related Bi2O2SiO3 nanosheets enabling visible light low‐concentration CO2 conversion
Authors: Wang Kai , Du Yue , Li Yuan , Wu Xiaoyong , Hu Haiyan , Wang Guohong , Xiao Yao , Chou Shulei , Zhang Gaoke 
Published: September 2022

AbstractUnraveling atomic‐level active sites of layered photocatalyst towards low‐concentration CO2 conversion is still challenging. Herein, the yield and selectivity of photocatalytic CO2 reduction of the Aurivillius‐related oxide semiconductor Bi2O2SiO3 nanosheet (BOSO) were largely improved using a surface sulfidation strategy. The experiment and theoretical calculation confirmed that surface sulfidation of the Bi2O2SiO3 nanosheet (S‐BOSO, 6.28 nm) redistributed the charge‐enriched Bi sites, extended the solar spectrum absorption to the whole visible range, and considerably enhanced the charge separation, in addition to creating new reaction active sites, as compared to pristine BOSO. Subsequently, surface sulfidation played a switchable role, wherein S‐BOSO showed a very high CH3OH generation rate (12.78 µmol g−1 for 4 h, 78.6% selectivity) from low‐concentration CO2 (1000 ppm) under visible light irradiation, which outperforms most of the state‐of‐the‐art photocatalysts under similar conditions. This study presents an atomic‐level modification protocol for engineering reactive sites and charge behaviors to promote solar‐to‐energy conversion.
Prediction of asphaltene adsorption capacity of clay minerals using machine learning
Authors: Ghasemi Mehdi , Tatar Afshin , Shafiei Ali , Ivakhnenko Oleksandr P. 
Published: September 2022

AbstractA thorough understanding of asphaltene adsorption on clay minerals is particularly important in oil production and contaminated soil remediation using clay‐based adsorbents. In this paper, we introduced a machine learning approach as a reliable alternative for commonly used adsorption isotherms that suffer from inherent limitations in the prediction of asphaltene adsorption onto clay minerals. Machine learning (ML) models, namely multilayer perceptron (MLP), support vector machine (SVM), decision tree (DT), random forest (RF), and committee machine intelligent system (CMIS) combined with two optimizers were used. Experimental data (142 data points for six different clay minerals) was used for the modelling. To improve the accuracy of the smart models, a comprehensive data preparation such as outlier removal and feature selection was carried out. The results showed that relatively all the proposed models predict asphaltene adsorption on clay minerals with acceptable precision. Nevertheless, the MLP model showed superior performance compared with other models in which the overall root mean square error (RMSE) and coefficient of determination (R2) values of 6.72 and 0.93 were obtained, respectively. Finally, the developed MLP model was compared with the well‐known adsorption isotherms of Langmuir and Freundlich and exhibited superior performance.
Convenient Synthesis of Thioester‐Substituted Oxindoles by Palladium‐Catalyzed Thiocarbonylative Cyclization with Sulfonyl Chlorides as the Sulfur Source
Authors: Xu Ren‐Rui , Fang Xiuyu , Qi Xinxin , Wu Xiao‐Feng 
Published: September 2022

Comprehensive SummaryA general and straightforward strategy for the synthesis of thioester‐substituted oxindoles via a palladium‐catalyzed thiocarbonylative cyclization process has been developed. With sulfonyl chlorides as promising sulfur source, a wide range of thioester‐substituted oxindoles were obtained in moderate to high yields. Both aryl and alkyl sulfonyl chlorides were well tolerated, and Mo(CO)6 played a dual role as both a CO source and a reductant in this approach.
Sustainable Synthesis of Highly Functionalized Activated Carbon using Plasma Technology
Authors: Jayasinghe Sehan , Pasan Siriwardena Dumindu , Munaweera Imalka , Perera Chandani , Kottegoda Nilwala 
Published: September 2022

AbstractSurface functionalized activated carbon (SFAC) has been used for several applications, including adsorption, catalysis and energy storage materials. Existing chemical and physical activation methods for surface functionalization are mostly identified as expensive, inefficient, and non‐green methods. Plasma, known as the fourth state of matter, has recently been recognized as an attractive and sustainable method for introducing a higher degree of surface functionality to activated carbon. It also improves the bulk chemical structure and the properties of SFAC. The surface functionalization process is governed by discharge gas, discharge source, discharge efficiency and discharge time. The majority of researchers have utilized oxygen plasma as the discharge gas. However, ammonia, carbon dioxide, atmospheric air, specific gases such as chlorine and hydrogen sulfide, and neutral gases such as nitrogen and argon have also been used as the discharge gas. These plasma activations were conducted under different power conditions (W to kW) and varying treatment times (seconds to hours) using different plasma sources such as dielectric barrier discharge (DBD), arc, radio frequency (RF) and microwave (MW) for the surface functionalization. Most of the researchers have experienced both positive and negative co‐relationships between principal parameters and surface functional groups (SFGs), surface area, porosity and other surface features such as roughness and hydrophilicity. However, a comprehensive review on the effects of these parameters on the final material properties is lacking. Therefore, this Review focuses on the recent developments in the utilization of plasma as a surface activation technique for activated carbon. Furthermore, an in‐depth analysis of the relationship between experimental parameters and the resultant surface features of activated carbon is carried out and discussed. The functionalization mechanisms related to plasma activation have also been illustrated. The aging effect, which negatively impacts surface functionalized activated carbon, is also emphasized. Finally, the recent advances in applications of SFAC, challenges and future perspectives are discussed in detail.
Assessment of photodynamic therapy as a salvage treatment for local failure after chemoradiotherapy or radiotherapy for esophageal cancer in patients aged 80 years or older
Authors: Nishikawa Michiko , Yamamoto Yoshinobu , Kushida Saeko , Hirabayashi Taku , Tanaka Syunta , Takegawa Naoki , Mimura Takuya , Tsumura Hidetaka , Miki Ikuya , Tsuda Masahiro 
Published: September 2022

AbstractObjectivesChemoradiotherapy (CRT) or radiotherapy (RT) alone is often the treatment of choice for elderly patients with esophageal cancer with the expectation of organ preservation. However, salvage treatment remains a problem when endoscopic resection is not indicated for local failure after CRT/RT. Photodynamic therapy (PDT) is indicated for local failure after CRT/RT, but there are few reports on its efficacy and safety in elderly patients. This study aimed to assess the outcome of PDT for local failure after CRT/RT for esophageal cancer in elderly patients.MethodsThis retrospective single‐center study included 42 patients who first underwent PDT between April 2013 and June 2021. Patients aged ≥80 and <80 years were classified into the elderly and nonelderly groups, respectively. Local complete response rate, overall survival, progression‐free survival, and incidence of adverse events related to PDT were compared retrospectively between the groups.ResultsThe local complete response rate was 93.3% in the elderly group and 85.7 in the non‐elderly group. The 2‐year overall survival rate was 68.6% and 72.5%, and the 2‐year progression‐free survival rate was 49.5% and 70.0% in the elderly and nonelderly groups, respectively. There was no significant difference in any of these outcomes between the groups. In terms of adverse events, pneumonia and delirium tended to occur more frequently in the elderly group, but there were no serious adverse events in either group.ConclusionThe outcome of salvage PDT in the local control was comparable between the elderly and nonelderly patients for local failure after CRT/RT for esophageal cancer.
Diagnostic performance of microRNAs in the detection of heart failure with reduced or preserved ejection fraction: a systematic review and meta‐analysis
Authors: Parvan Reza , Hosseinpour Milad , Moradi Yousef , Devaux Yvan , Cataliotti Alessandro , da Silva Gustavo J.J. 
Published: September 2022

AimChronic heart failure (CHF) can be classified as heart failure with preserved ejection fraction (HFpEF) or with reduced ejection fraction (HFrEF). Currently, there is an unmet need for a minimally invasive diagnostic tool for different forms of CHF. We aimed to investigate the diagnostic potential of circulating microRNAs (miRNAs) for the detection of different CHF forms via a systematic review and meta‐analysis approach.Methods and resultsComprehensive search on Medline, Web of Science, Scopus, and EMBASE identified 45 relevant studies which were used for qualitative assessment. Out of these, 29 studies were used for qualitative and quantitative assessment and allowed to identify a miRNA panel able to detect HFrEF and HFpEF with areas under the curve (AUC) of 0.86 and 0.79, respectively. A panel of eight miRNAs (hsa‐miR‐18b‐3p, hsa‐miR‐21‐5p, hsa‐miR‐22‐3p, hsa‐miR‐92b‐3p, hsa‐miR‐129‐5p, hsa‐miR‐320a‐5p, hsa‐miR‐423‐5p, and hsa‐miR‐675‐5p) detected HFrEF cases with a sensitivity of 0.85, specificity of 0.88 and AUC of 0.91. A panel of seven miRNAs (hsa‐miR‐19b‐3p, hsa‐miR‐30c‐5p, hsa‐miR‐206, hsa‐miR‐221‐3p, hsa‐miR‐328‐5p, hsa‐miR‐375‐3p, and hsa‐miR‐424‐5p) identified HFpEF cases with a sensitivity of 0.82 and a specificity of 0.61.ConclusionsAlthough conventional biomarkers (N‐terminal pro‐B‐type natriuretic peptide and B‐type natriuretic peptide) presented a better performance in detecting CHF patients, the results presented here pointed towards specific miRNA panels with potential additive values to circulating natriuretic peptides in the diagnosis of different classes of CHF. Equally important, miRNAs alone showed a reasonable capacity for ‘ruling out’ patients with HFrEF or HFpEF. Additional studies with large populations are required to confirm the diagnostic potential of miRNAs for sub‐classes of CHF.
Boosted by closure! Regulatory focus predicts motivation and task persistence in the aftermath of task‐unrelated goal closure
Authors: Lalot Fanny , Gollwitzer Peter M. , Quiamzade Alain , Oettingen Gabriele 
Published: September 2022

AbstractPast research has found that regulatory closure, that is, successful goal striving regulated either under a promotion or prevention focus, has important consequences in terms of motivational activation and mobilisation of cognitive resources in subsequent tasks, but it mostly investigated motivation in the same or similar tasks to the one for which closure was achieved. Drawing from an energisation‐deactivation hypothesis, we investigated the effect of closure on performance and persistence in unrelated subsequent cognitive tasks. Across four studies, we found that promotion closure had an energising effect leading to: quicker decision times in lexical tasks (Studies 1–2), increased persistence and greater originality (Study 3), and greater visuospatial memory performance (Study 4). In contrast, prevention closure had a deactivating effect leading to reduced performance and persistence. No systematic differences arose in situations of non‐closure. We discuss results and implications with respect to both regulatory closure and regulatory fit theoretical approaches.
Analysis and experimental investigation on passive direct methanol fuel cell current collectors with taper cylindrical openings
Authors: Raghavaiah N. V. , Srinivasulu G. Naga 
Published: September 2022

AbstractAnalysis of buoyancy effect on the evaluation of carbon dioxide gas from passive direct methanol fuel cell current collectors’ (CCs’) openings is carried out. Two types of setups are chosen for the analysis, one with taper cylindrical openings and the other with uniform cylindrical openings. The analysis shows that buoyancy is more effective in taper cylindrical openings due to the accommodation of a larger bubble volume compared to that bubble volume in a uniform cylindrical opening. In this experimental study, SS‐316L has been selected as the CC material. During the experiment, it is observed that the CO2 is getting expelled more easily. The best power density (PD) obtained using taper cylindrical openings at a methanol concentration of 3 M is 7.056 mW cm−2, whereas it is 5.219 mW cm−2 in the case of uniform cylindrical openings at the same 3‐M methanol concentration. Hence, the taper cylindrical openings are found to perform better at 3‐M concentration than cylindrical openings by 35.19% at its best PD point and further, the weight of the CCs is also reduced leading to gravitational PD improvement. Analysis of charge density over the tapered surface is also carried out.
Segregation, integration and balance in resting‐state brain functional networks associated with bipolar disorder symptoms
Authors: Chang Zhao , Wang Xinrui , Wu Ying , Lin Pan , Wang Rong 
Published: September 2022

AbstractBipolar disorder (BD) is a serious mental disorder involving widespread abnormal interactions between brain regions, and it is believed to be associated with imbalanced functions in the brain. However, how this brain imbalance underlies distinct BD symptoms remains poorly understood. Here, we used a nested‐spectral partition (NSP) method to study the segregation, integration, and balance in resting‐state brain functional networks in BD patients and healthy controls (HCs). We first confirmed that there was a high deviation in the brain functional network toward more segregation in BD patients than in HCs and that the limbic system had the largest alteration. Second, we demonstrated a network balance of segregation and integration that corresponded to lower anxiety in BD patients but was not related to other symptoms. Subsequently, based on a machine‐learning approach, we identified different system‐level mechanisms underlying distinct BD symptoms and found that the features related to the brain network balance could predict BD symptoms better than graph theory analyses. Finally, we studied attention‐deficit/hyperactivity disorder (ADHD) symptoms in BD patients and identified specific patterns that distinctly predicted ADHD and BD scores, as well as their shared common domains. Our findings supported an association of brain imbalance with anxiety symptom in BD patients and provided a potential network signature for diagnosing BD. These results contribute to further understanding the neuropathology of BD and to screening ADHD in BD patients.
Magnetic resonance imaging‐based radiomics model for predicting radiation‐induced temporal lobe injury in nasopharyngeal carcinoma after intensity‐modulated radiotherapy
Authors: Bao Dan , Zhao Yanfeng , Liu Zhou , Xu Haijun , Zhang Ya , Yuan Meng , Li Lin , Lin Meng , Zhao Xinming , Luo Dehong 
Published: September 2022

AbstractBackgroundTo develop a model based on magnetic resonance imaging (MRI) radiomics and clinical features for predicting radiation‐induced temporal lobe injury (RTLI) in patients with nasopharyngeal carcinoma (NPC) after intensity‐modulated radiotherapy (IMRT).MethodsTwo hundred and sixteen patients with NPC were retrospectively included. Radiomics features were extracted and selected. The logistic regression analysis was performed for prediction models construction. The area under the receiver operating characteristic curve (AUC) was calculated for performance evaluation.ResultsThree radiomics features were selected to construct the radiomics signature (AUC of 0.94 and 0.92). The clinical‐radiomics model, integrating radiomics signature with T classification, achieved higher predictive performance in the training and validation cohorts (AUC of 0.95 and 0.93), as well as improved accuracy of the classification of RTLI outcomes (net reclassification improvement: 0.711; 95% CI: 0.57–0.86; p < 0.001).ConclusionsThe clinical‐radiomics model and radiomics signature both showed great performance in predicting RTLI in patients with NPC.
The computer‐aided design margin: Ex vivo 3D specimen mapping to improve communication between surgeons and pathologists
Authors: Sharif Kayvon F. , Lewis James S. , Ely Kim A. , Mehrad Mitra , Pruthi Sumit , Netterville James L. , Rohde Sarah L. , Langerman Alexander , Mannion Kyle , Sinard Robert J. , Rosenthal Eben L. , Topf Michael C. 
Published: September 2022

AbstractBackgroundNumerous challenges exist in determining surgical margin status. Communication between surgeons and pathologists is crucial for specimen orientation and accurate margin assessment.MethodsA prospective study to determine feasibility of incorporating three‐dimensional (3D) scanning into surgical pathology workflow was performed. A structured‐light 3D scanner captured the photorealistic surface topography of fresh surgical specimens. Computer‐aided design (CAD) software was used to document sites of margin sampling and sectioning. Surveys were distributed among faculty and staff stakeholders to assess feasibility.ResultsA series of 40 cases were 3D‐scanned. Median image acquisition time was 8 min. The majority of respondents agreed that the experimental 3D system helped achieve clearer communication. 3D specimen maps assisted in the communication of a focally positive or close margin in 4 of 17 cases.ConclusionsRoutine 3D scanning and specimen mapping is feasible and represents an innovative approach to intraoperative and final pathology documentation, margin analysis, and surgeon–pathologist communication.