bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics of anal canal cancer in Japan
Authors: Yamada Kazutaka , Saiki Yasumitsu , Komori Koji , Shiomi Akio , Ueno Masashi , Ito Masaaki , Hida Koya , Yamamoto Seiichiro , Shiozawa Manabu , Ishihara Soichiro , Kanemitsu Yukihide , Ueno Hideki , Kinjo Tatsuya , Maeda Kotaro , Kawamura Junichiro , Fujita Fumihiko , Takahashi Keiichi , Mizushima Tsunekazu , Shimada Yasuhiro , Sasaki Shin , Sunami Eiji , Ishida Fumio , Hirata Keiji , Ohnuma Shinobu , Funahashi Kimihiko , Watanabe Jun , Kinugasa Yusuke , Yamaguchi Shigeki , Hashiguchi Yojiro , Ikeda Masataka , Sudo Takeshi , Komatsu Yoshito , Koda Keiji , Sakamoto Kazuhiro , Okajima Masazumi , Ishida Hideyuki , Hisamatsu Yuichi , Masuda Taiki , Mori Shinichiro , Minami Kazuhito , Hasegawa Seiji , Endo Shungo , Iwashita Akinori , Hamada Madoka , Ajioka Yoichi , Usuku Koichiro , Ikeda Tokunori , Sugihara Kenichi 
Published: March 2022

AbstractAnal canal cancer (ACC) has been reported to be an uncommon cancer in Japan, as in the USA, Europe, and Australia. This retrospective multi‐institutional study was conducted to clarify the characteristics of ACC in Japan. First, the histological ACC type cases treated between 1991 and 2015 were collected. A detailed analysis of the characteristics of anal canal squamous cell carcinoma (SCC) cases was then conducted. The results of the histological types revealed that of the 1781 ACC cases, 435 cases (24.4%) including seven cases of adenosquamous cell carcinomas were SCC and 1260 cases (70.7%) were adenocarcinoma. However, the most common histological type reported in the USA, Europe, and Australia is SCC. Most ACC cases are adenocarcinomas and there is a low incidence of SCC in Japan which is different from the above‐mentioned countries. Moreover, we reclassified T4 into the following two groups based on tumor size: T4a (tumor diameter of 5 cm or less) and T4b (tumor diameter of more than 5 cm). The results of the TNM classification of SCC revealed that the hazard ratio (HR) to T1 of T2, T3, T4a, and T4b was 2.45, 2.28, 2.89, and 4.97, respectively. As T4b cases had a worse prognosis than T4a cases, we propose that T4 for anal canal SCC in Japan be subclassified into T4a and T4b.
Comparison of sampling methods for next generation sequencing for patients with lung cancer
Authors: Kunimasa Kei , Matsumoto Shingo , Nishino Kazumi , Honma Keiichiro , Maeda Noboru , Kuhara Hanako , Tamiya Motohiro , Inoue Takako , Kawamura Takahisa , Kimura Toru , Maniwa Tomohiro , Okami Jiro , Goto Koichi , Kumagai Toru 
Published: March 2022

AbstractIntroductionSuccess of next generation sequencing (NGS) analysis is becoming indispensable in the treatment of advanced lung cancer. However, the advantages and disadvantages of each sampling method in the NGS analysis have not yet been clarified.MethodsWe compared the success rates of NGS analysis, and DNA and RNA yields for transbronchial biopsy (TBB), endobronchial ultrasound‐guided transbronchial needle aspiration (EBUS‐TBNA), computed tomography (CT)‐guided biopsy, fluid sample, and surgical biopsy for NGS analysis in patients through the lung cancer genomic screening project for individualized medicine (LC‐SCRUM)‐Asia, a nationwide NGS screening project. In case, sufficient samples could not be collected by TBB and EBUS‐TBNA, re‐biopsy (genome re‐biopsy) was performed.ResultsA total of 223 patients were enrolled and success rates of NGS analysis were not different between samples obtained through TBB, EBUS‐TBNA, and CT‐guided biopsy; however, success rates for fluid samples and surgical biopsy samples were significantly higher than those of other methods. The risk of genome re‐biopsy was higher with TBB for centrally located lesions. CT‐guided biopsy yielded more samples but had a lower success rate for analysis of RNA‐based NGS than TBB.ConclusionsTBB is the mainstay of sampling methods, but for centrally located lesions, EBUS‐TBNA may be a better strategy. For CT‐guided biopsy, the success rate of RNA‐based NGS analysis is low. Fluid samples are expected to yield successful results as surgical biopsy samples, but the latter are better for sample preservation. Determining the optimal method for genome biopsy for each case is important.
Power‐VR: Interactive 3D virtual environment to increase motivation levels of powerlifters during training sessions
Authors: Gulec Ulas , Isler Ilkin Sevgi , Doganay Mehmet Harun , Gokcen Muruvet , Gozcu Mert Ali , Nazligul Merve Denizci 
Published: March 2022

AbstractMotivation is one of the important factors that increase the success of athletes, especially who lift weights. It increases not only the success of the athletes but also influences other notions such as increasing self‐confidence, decreasing anxiety, and improving endurance. Although motivation has a key role in the performance of athletes, most of the athletes may be fully motivated only in competition environments. However, being motivated only in competition environments is not enough for athletes since they spend most of their time in training. If they are motivated in training environments as motivated as in competition environments, they can increase their performance, however, being motivated during training sessions is not easy since there are not enough motivational factors, such as spectators, in training environments. In order to solve this problem, this study aims to increase the motivation levels of powerlifters during training sessions by developing a virtual competition environment. In this environment, the athletes experience a virtual competition environment by using HTC Vive. To understand the efficiency of the virtual environment, it was tested with 32 professional athletes. The findings illustrated that using VR technology was beneficial to increase the level of motivation of powerlifters during training sessions.
Nephrotic syndrome associated with metastatic melanoma: a case report
Authors: Bienes Fabiana Almeida Antonio , de Brito Germana Alves , Alves Joubert Araujo , Baptista Aline Lourenco , Andrade Luis André Silvestre , Imanishe Marina Harume , Pereira Benedito Jorge 
Published: March 2022

AbstractNephrotic syndrome (NS) may occur after or concomitantly with malignancy. The use of immunosuppressive approaches in patients with cancer and NS is controversial, especially when the association between the pathologies is unclear. The aim of this study was to report the case of a patient with metastatic melanoma who developed NS and to examine the association between NS and neoplasia. A 56‐year‐old woman diagnosed with right hallux melanoma, removed by marginal resection with no sign of metastasis, developed NS after 6 months without the detection of another associated disease. The histological diagnosis was focal and segmental glomerulosclerosis (FSGS). The patient was older than most patients with FSGS and was treated with immunosuppressive agents (prednisone and cyclosporine) concomitantly with melanoma treatment. Nephrotic syndrome was the first manifestation of metastatic melanoma recurrence in this patient. Proteinuria was controlled adequately after immunosuppression and melanoma treatment. Although NS has been associated with cancer, laboratory and histological markers correlating it with melanoma are needed.
Production of Styrene from Dehydrogenation of Ethylbenzene
Authors: Gupta Rahul , Uslu Hasan , Majumder Subhajit 
Published: March 2022

AbstractA pseudo‐homogeneous model based on intrinsic rate equations for dehydrogenation of ethylbenzene to styrene in an adiabatic fixed‐bed reactor is developed. Steam and ethylbenzene are the main reactants with styrene as the desired product, and benzene and toluene as by‐products. Styrene production is an endothermic reaction depends on various factors such as temperature, pressure, steam to ethylbenzene ratio, styrene to ethylbenzene ratio in feed. These factors affects the properties like styrene selectivity, ethylbenzene and by‐product conversion etc. The development of the mathematic model includes the application of mass balance, energy balance, and basic thermodynamic relations, momentum balance, Langmuir and Hinshelwood model, Ergun relation, etc. The effects of temperature as well as of the steam‐to‐ethylbenzene and styrene‐to‐ethylbenzene molar ratios in the feed on the selectivity for styrene, ethylbenzene conversion, and conversion to by‐products are also evaluated. The maximum selectivity for styrene can be achieved at increased steam‐to‐ethylbenzene feed ratio and a lower ethylbenzene conversion.
Near‐IR Intramolecular Charge Transfer in Strongly Interacting Diphenothiazene‐TCBD and Diphenothiazene‐DCNQ Push‐Pull Triads
Authors: Yadav Indresh S. , Jang Youngwoo , Rout Yogajivan , Thomas Michael B. , Misra Rajneesh , D'Souza Francis 
Published: March 2022

AbstractThree types of phenothiazines dimers (PTZ‐PTZ, 1–3), covalently linked with one or two acetylene linkers, were synthesized by copper‐mediated Eglinton and Pd‐catalyzed Sonogashira coupling reactions in excellent yields. The dimers 1–3 were further engaged in [2+2] cycloaddition‐retroelectrocyclization reactions with strong electron acceptors, tetracyanoethylene (TCNE) and 7,7,8,8‐tetracyanoquinodimethane (TCNQ) to yield tetracyanobutadiene (TCBD, 1 a–3 a), and dicyanoquinodimethane (DCNQ, 1 b–3 b) functionalized donor‐acceptor (D‐A) conjugates, respectively. The conjugates were examined by a series of spectral, computational, and electrochemical studies. Strong ground state polarization leading to new optical transitions was witnessed in both series of D‐A conjugates. In the case of DCNQ derived D‐A system 1 b, the optical coverage extended until 1200 nm in benzonitrile, making this a rare class of D‐A ICT system. Multiple redox processes were witnessed in these D‐A systems, and the frontier orbitals generated on DFT optimized structures further supported the ICT phenomenon. Photochemical studies performed using femtosecond pump‐probe studies confirmed solvent polarity dependent excited state charge transfer and separation in these novel multi‐modular D‐A conjugates. The charge‐separated states lasted up to 70 ps in benzonitrile while in toluene slightly prolonged lifetime of up to 100 ps was witnessed. The significance of phenothiazine dimer in wide‐band optical capture all the way into the near‐IR region and promoting ultrafast photoinduced charge transfer in the D‐A‐D configured multi‐modular systems, and the effect of donor‐acceptor distance and the solvent polarity was the direct outcome of the present study.
Organic Base Enabled Nickel‐Catalyzed Mono‐α‐Arylation of Feedstock Solvents
Authors: MacMillan Joshua W. M. , McGuire Ryan T. , Stradiotto Mark 
Published: March 2022

AbstractWe report on our successful development of the first metal‐catalyzed mono‐α‐arylation of carbonyl compounds employing a soluble organic base. The scope of these Ni/DalPhos‐catalyzed transformations encompasses a range of (hetero)aryl halides (Cl, Br, I) and phenol‐derived electrophiles (sulfonates, carbonates, carbamates, sulfamates), including active pharmaceutical ingredients (chloroquine, clozapine), in combination with the typically problematic feedstock small molecule substrates acetone, dimethylacetamide, and for the first time with any metal catalyst/base, ethyl acetate.
Optimal knee osteoarthritis diagnosis using hybrid deep belief network based on Salp swarm optimization method
Authors: Balasubramanian Kishore , Kishore Ramya , Krishnamoorthy Gayathri Devi 
Published: March 2022

AbstractOsteoarthritis (OA) damages the articular cartilage of the knee and is a severe degenerative joint condition. Currently, OA diagnosis is carried out by symptom analysis and progressive evaluation of the radiographs, although the method is subjective. This work presents a novel computer aided diagnostic system to diagnose the severity of the disease in its early stages. The proposed method comprises of stages that include image pre‐processing, extraction of features based on discrete wavelet decomposition, histogram, GLCM and texture features, and classification by stacked up‐RBM Deep Belief Networks (Hybrid DBN) finally. The performance of HDBN is improved by optimizing the hyper parameters with the Salp Swarm Optimization Algorithm (SSA). Experiments conducted on the Kaggle database consisting of 7503 images demonstrated an overall accuracy of 99.45% with 100% sensitivity and specificity. The impact on isolated and combined feature contributions is also analyzed using 10‐fold cross validation (CV). The robustness of the algorithm is tested on degraded images of salt‐pepper, Gaussian, and Poisson noise, which proved the effectiveness of the method. Comparison of the method proposed with similar techniques is done by employing different optimization algorithms and classifiers.
Virtual research environments co‐creation: The D4Science experience
Authors: Assante Massimiliano , Candela Leonardo , Castelli Donatella , Cirillo Roberto , Coro Gianpaolo , Dell'Amico Andrea , Frosini Luca , Lelii Lucio , Lettere Marco , Mangiacrapa Francesco , Pagano Pasquale , Panichi Giancarlo , Piccioli Tommaso , Sinibaldi Fabio 
Published: March 2022

AbstractVirtual research environments are systems called to serve the needs of their designated communities of practice. Every community of practice is a group of people dynamically aggregated by the willingness to collaborate to address a given research question. The virtual research environment provides its users with seamless access to the resources of interest (namely, data and services) no matter what and where they are. Developing a virtual research environment thus to guarantee its uptake from the community of practice is a challenging task. In this article, we advocate how the co‐creation driven approach promoted by D4Science has proven to be effective. In particular, we present the co‐creation options supported, discuss how diverse communities of practice have exploited these options, and give some usage indicators on the created VREs.
Gel‐Based and Gel‐Free Phosphoproteomics to Measure and Characterize Mitochondrial Phosphoproteins
Authors: Thongboonkerd Visith , Chaiyarit Sakdithep 
Published: March 2022

AbstractThe mitochondrion is a key intracellular organelle regulating metabolic processes, oxidative stress, energy production, calcium homeostasis, and cell survival. Protein phosphorylation plays an important role in regulating mitochondrial functions and cellular signaling pathways. Dysregulation of protein phosphorylation status can cause protein malfunction and abnormal signal transduction, leading to organ dysfunction and disease. Investigating the mitochondrial phosphoproteins is therefore crucial to better understand the molecular and pathogenic mechanisms of many metabolic disorders. Conventional analyses of phosphoproteins, for instance, via western blotting, can be done only for proteins for which specific antibodies to their phosphorylated forms are available. Moreover, such an approach is not suitable for large‐scale study of phosphoproteins. Currently, proteomics represents an important tool for large‐scale analysis of proteins and their post‐translational modifications, including phosphorylation. Here, we provide step‐by‐step protocols for the proteomics analysis of mitochondrial phosphoproteins (the phosphoproteome), using renal tubular cells as an example. These protocols include methods to effectively isolate mitochondria and to validate the efficacy of mitochondrial enrichment as well as its purity. We also provide detailed protocols for performing both gel‐based and gel‐free phosphoproteome analyses. The gel‐based analysis involves two‐dimensional gel electrophoresis and phosphoprotein‐specific staining, followed by protein identification via mass spectrometry, whereas the gel‐free approach is based on in‐solution mass spectrometric identification of specific phosphorylation sites and residues. In all, these approaches allow large‐scale analyses of mitochondrial phosphoproteins that can be applied to other cells and tissues of interest. © 2022 Wiley Periodicals LLC.Basic Protocol 1: Mitochondrial isolation/purification from renal tubular cellsSupport Protocol: Validation of enrichment efficacy and purity of mitochondrial isolationBasic Protocol 2: Gel‐based phosphoproteome analysisBasic Protocol 3: Gel‐free phosphoproteome analysis
Association of chronic heart failure with mortality in old intensive care patients suffering from Covid‐19
Authors: Bruno Raphael Romano , Wernly Bernhard , Wolff Georg , Fjølner Jesper , Artigas Antonio , Bollen Pinto Bernardo , Schefold Joerg C. , Kindgen‐Milles Detlef , Baldia Philipp Heinrich , Kelm Malte , Beil Michael , Sviri Sigal , van Heerden Peter Vernon , Szczeklik Wojciech , Topeli Arzu , Elhadi Muhammed , Joannidis Michael , Oeyen Sandra , Kondili Eumorfia , Marsh Brian , Andersen Finn H. , Moreno Rui , Leaver Susannah , Boumendil Ariane , De Lange Dylan W. , Guidet Bertrand , Flaatten Hans , Jung Christian ,   COVIP study group
Published: March 2022

AbstractAimsChronic heart failure (CHF) is a major risk factor for mortality in coronavirus disease 2019 (COVID‐19). This prospective international multicentre study investigates the role of pre‐existing CHF on clinical outcomes of critically ill old (≥70 years) intensive care patients with COVID‐19.Methods and resultsPatients with pre‐existing CHF were subclassified as having ischaemic or non‐ischaemic cardiac disease; patients with a documented ejection fraction (EF) were subclassified according to heart failure EF: reduced (HFrEF, n = 132), mild (HFmrEF, n = 91), or preserved (HFpEF, n = 103). Associations of heart failure characteristics with the 30 day mortality were analysed in univariate and multivariate logistic regression analyses. Pre‐existing CHF was reported in 566 of 3917 patients (14%). Patients with CHF were older, frailer, and had significantly higher SOFA scores on admission. CHF patients showed significantly higher crude 30 day mortality [60% vs. 48%, P < 0.001; odds ratio 1.87, 95% confidence interval (CI) 1.5–2.3] and 3 month mortality (69% vs. 56%, P < 0.001). After multivariate adjustment for confounders (SOFA, age, sex, and frailty), no independent association of CHF with mortality remained [adjusted odds ratio (aOR) 1.2, 95% CI 0.5–1.5; P = 0.137]. More patients suffered from pre‐existing ischaemic than from non‐ischaemic disease [233 vs. 328 patients (n = 5 unknown aetiology)]. There were no differences in baseline characteristics between ischaemic and non‐ischaemic disease or between HFrEF, HFmrEF, and HFpEF. Crude 30 day mortality was significantly higher in HFrEF compared with HFpEF (64% vs. 48%, P = 0.042). EF as a continuous variable was not independently associated with 30 day mortality (aOR 0.98, 95% CI 0.9–1.0; P = 0.128).ConclusionsIn critically ill older COVID‐19 patients, pre‐existing CHF was not independently associated with 30 day mortality.Trial registration number: NCT04321265.
Oxidation‐resistant Cu‐based metallisation for Si solar cells
Authors: Son Hyung Jin , Hong Kuen Kee , Ju Byeong‐Kwon , Kim Sung Hyun 
Published: March 2022

AbstractHerein, the oxidation resistance effect of B on the high‐temperature sintering of Cu‐based metallisation for crystalline Si solar cells is described. Atmospheric sintering of B‐containing Cu–Ag core‐shell paste printed on a Si wafer is performed at high temperatures (up to 800°C). The oxidation of Cu is effectively prevented by B, affording a brown bulky Cu–Ag film with low electrical resistivity (order of 10−6 Ω cm). The Cu–Ag film formation is monitored via microscopic and crystallographic analyses. The Cu–Ag film exhibits increased electrical conductivity with increasing B content from 0 to 5 wt.%. X‐ray photoelectron spectroscopy data reveal that the B2O3 formed on the Cu–Ag film surface prevents external oxygen diffusion into the bulk. The developed paste is applied to a crystalline Si solar cell, affording a maximum efficiency of 17.55%. These results show the practical applicability of Cu‐based electrodes in the solar cell industry.
Enhanced social network search algorithm with powerful exploitation strategy for PV parameters estimation
Authors: Shaheen A. M. , Elsayed A. M. , Ginidi A. R. , El‐Sehiemy R. A. , Elattar E. 
Published: March 2022

AbstractIn this paper, an enhanced social network search algorithm (ESNSA) has been proposed to model the solar photovoltaic (PV) modules accurately and efficiently. The proposed algorithm is introduced to minimize the least root‐mean‐square error (RMSE) between the calculated and experimental data for the single, double, and triple diode models of Kyocera KC200GT, STM6(40/36), and Photowatt‐PWP201 modules. The original SNSA was inspired by users on social networks and their many moods, including imitation, conversation, disputation, and innovation mood. Two strategies are presented for the ESNSA. The first strategy is the powerful exploitation strategy (PES), which is intended to increase the SNSA's performance by boosting searching around the best view of all users. The second strategy is to suggest an adaptable parameter to aid in the exploitation of iterations in the end. Diverse comparisons and statistical analyses for validation purposes are carried out for mono‐crystalline STM6(40/36), multicrystalline KC200GT, and polycrystalline photowatt‐PWP201 modules. The comparative studies and statistical measures show the consistency and accurateness of the proposed ESNSA. As a numerical application, for the mono‐crystalline STM6(40/36) PV module, the proposed ESNSA achieves the least RMSE of 1.751631E−3, 1.769953E−3, and 1.696504E−3, respectively for the three models. Also, it shows high robustness compared to the original SNSA as it acquires the least standard errors for the three models of 2.56E−18, 1.76E−6, and 1.24E−5, respectively. Moreover, the proposed ESNSA provides a higher convergence speed where it is approximately reached to the least RMSE in less than 60%, 50%, and 60% of the iterations for the three models, respectively. Nevertheless, the proposed ESNSA provides better performance than miscellaneous published approaches in minimizing the RMSE, with high robust indices.