A nomogram to predict postoperative new-onset cerebral infarction after revascularization of moyamoya disease in adults and its validation: a retrospective study by Zhen Wang, Jiacheng Yu, Yu Zhang, Jiaping Ruan, Xiaojie Liu, Sijia Ma, Jun Xie, Mimi Wu, Jinhua Bo, Yu’e Sun, Yu’e Sun

“…Its performance to predict POCI after revascularization of adult MMD was validated by calculating the area under the curve (AUC) and the decision curve analysis.ResultsUnivariate and multivariate logistic regression analyses showed that preoperative cerebral infarction (OR 2.548, 95% CI 1.357–4.787; p = 0.004), posterior cerebral artery anomalies (OR 2.106, 95% CI 1.157–3.834; p = 0.015), post-transit arterial development (OR 2.983, 95% CI 1.336–6.661; p = 0.008), pre-anesthesia mean arterial pressure > 102.830 mmHg (OR 3.329, 95% CI 1.938–5.721; p < 0.001), total operating time > 212.500 min (OR 2.256, 95% CI 1.239–4.140; p = 0.008), preoperative fibrinogen level > 2.750 g/L (OR 1.852, 95% CI 1.072–3.200; p = 0.027), and mean corpuscular hemoglobin concentration (OR 1.021, 95% CI 1.001–1.040; p = 0.038) were independent risk factors of POCI after revascularization of adult MMD. …”
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Gender related outcome differences in off-pump coronary artery bypass grafting by Riswan Akram, Friedrich Sobik, Tim Knochenhauer, Sebastian A. Philipp, Jens Brickwedel, Xiaoqin Hua, Beate Reiter, Svante Zipfel, Yvonne Schneeberger, Evaldas Girdauskas, Evaldas Girdauskas, Hermann Reichenspurner, Bjoern Sill, Andreas Schaefer

“…Investigation of gender related outcome differences comprises of different operative strategies potentially hampering interpretation of data. …”
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Comparison of polygenic risk scores for type 2 diabetes developed from different ancestry groups by Takuma Furukawa, Megumi Hara, Yuichiro Nishida, Keitaro Tanaka, Chisato Shimanoe, Chiharu Iwasaka, Jun Otonari, Hiroaki Ikezaki, Mako Nagayoshi, Takashi Tamura, Yudai Tamada, Rieko Okada, Isao Oze, Hidemi Ito, Nobuaki Michihata, Yohko Nakamura, Shiroh Tanoue, Chihaya Koriyama, Sadao Suzuki, Takahiro Otani, Isao Watanabe, Satomi Tomida, Kiyonori Kuriki, Naoyuki Takashima, Aya Kadota, Masashi Ishizu, Takeshi Watanabe, Masahiro Nakatochi, Yukihide Momozawa, Kenji Wakai, Keitaro Matsuo, for the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study Group

“…This study aimed to compare the classification accuracy of PRSs for type 2 diabetes (T2D-PRS) developed from different ancestry groups using genotype data from 14,083 Japanese participants. Participants’ scores were calculated using T2D-PRS models, and logistic regression analysis and receiver operating characteristic curves were assessed. …”
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A Nomogram for Predicting Overall Survival in Primary Central Nervous System Lymphoma: A Retrospective Study by Ling Y, Miao X, Zhou X, Ma J, Lin Z, Li Q, Zhang M, Ma Y, Chen B

“…The least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression analysis were used to identify the risk factors for overall survival (OS) and construct a nomogram. …”
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Screening biomarkers related to cholesterol metabolism in osteoarthritis based on transcriptomics by ChenDeng Lao, Wei Wei, JianWen Cheng, ShiJie Liao, XiaoLin Luo, Qian Huang, HengZhen Huang, JinMin Zhao

“…In this study, two OA datasets, GSE55457 and GSE55235, were applied, which contained the transcriptome data of 10 OA samples and 10 control samples (synovial tissue) respectively. …”
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Scientific and Technical Tools for Enhancement of Special Treatment Devices by V. V. Mahniboroda, A. A. Gorjachev, A. E. Krasnov

“…The analysis of key performance parameters for on-board special treatment devices, employed for armaments and military and special purpose equipment that are operated by the Armed Forces of the Russian Federation and its foreign counterparts has confirmed that either the existing special treatment sets should be improved or a new (unified) on-board special treatment device (set) should be developed which can provide a full special treatment of armaments and military and special purpose equipment with water-based, solvent and foam solutions as well as their sanitizing in summer, autumn and spring.Conclusions. …”
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LC-MS-based conventional metabolomics combined with machine learning models to identify metabolic markers for the diagnosis of type I diabetes by Muhadasi Tuerxunyiming, Muhadasi Tuerxunyiming, Qing Zhao, Qiaosheng Hu, Ping Zhu, Shiting Zhu

“…BackgroundChanges in certain metabolites are linked to an increased risk of type I diabetes (T1D), making metabolite analysis a valuable tool for T1D diagnosis and treatment. …”
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Relationship between the autoantibody and expression of β3-adrenoceptor in lung and heart. by Guobin Miao, Zhe Chen, Xiangyang Fang, Miaobing Liu, Gang Hao, Huiling An, Zhiyong Zhang, Lingqiao Lu, Jian Zhang, Lin Zhang

“…Two aged rat models were constructed based on aortic banding and sham-operation. The expression of β3-AR mRNA and protein in the lung and heart was measured in intervention and non-intervention groups by Western blot analysis at the baseline, 5(th), 7(th), 9(th) and 11(th) week, respectively.…”
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Systemic immune-inflammatory complex index as a novel predictor of sepsis prognosis: a retrospective cohort study using MIMIC-IV by Xueqing Wang, Yingxin Lin, Sheng Zhang, Junshi Wang, Bin Huang, Hua Luo, Lei Huang

“…Herein, we proposed a novel index, the systemic immune-inflammatory complex index (SIICI), defined as (neutrophil × monocyte count) × 103/(platelet × lymphocyte count), to predict illness severity, and we verified its prognostic value.MethodsAll data were extracted from the Medical Information Mart for Intensive Care database IV (MIMIC-IV). …”
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Entrepreneurship and Creative Destruction by Cathleen Johnson, Robert Lusch, David Schmidtz

“…The study deals with reasons for the inefficient operation of the business sector in the economy through the analysis of the relationship between disruptive innovation and creative destruction. …”
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Distinctive Contribution of Sound Spectral Features in Enhancing Vibration-Based Multi-Component Fault Classification Under Non-Stationary Speed Conditions by S. Sowmya, M. Saimurugan, Naveen Venkatesh

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Investigating mental defeat in individuals with chronic pain: Protocol for a longitudinal experience sampling study by Shyam Balasubramanian, Nicole K Y Tang, Sakari Lemola, Kristy Themelis, Swaran Preet Singh, Jenna L Gillett, Paige Karadag, Yu-Mei Li

“…The study is being conducted in adherence with the Declaration of Helsinki, Warwick Standard Operating Procedures and applicable UK legislation.…”
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MATHEMATICAL MODELS FOR DETERMINING THE PARETO FRONT FOR BUILDING TECHNOLOGICAL PROCESSES OPTIONS UNDER THE CONDITIONS OF INTERVAL PRESENTATION OF LOCAL CRITERIA by Vladimir Beskorovainyi, Lyudmyla Kolesnyk, Dr. Chinwi Mgbere

“…The practical use of mathematical models will allow to increase the degree of automation of design or control processes, to reduce the time of decision-making in conditions of incomplete certainty of input data and to guarantee their quality by selecting them only from a subset of effective ones. …”
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ECONOMIC DILLEMMAS OF SMART GRID DEVELOPMENT: ILLUSIONS, REALITIES AND PROSPECTS by I. V. Danilin

“…Purpose: the purpose of this work is to systematize data on the economic effects of Smart Grids, classify these effects, identify the challenges associated with their implementation, elaborate approaches and conditions under which Smart Grids can maximize returns for business entities, the economy and society.Methods: the work is based on the analysis of scientific and analytical materials devoted to the research problem, including those prepared on the basis of surveys of industry actors, as well as systematic materials on implemented pilot and industrial projects in the field of Smart Grids.Results: two groups of economic effects of Smart Grids are considered: optimization ones (related to the operating and investment costs reductions of industry actors) and innovative (related to the implementation of the prospective functionality of Smart Grids). …”
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Clinical study of 3D-printed personalized prostheses for the treatment of traumatic metacarpophalangeal joint defects by Hao Zheng, Yuan Cao, Yunqing Wang, Zhuqing Jia, Yong Liu

“…Methods A retrospective analysis was conducted on 7 cases of 3D printed MCP joint prostheses replacement surgeries performed by the same surgeon. …”
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Return to driving following rotator cuff repair: 23%, 70% and 99% at 1, 2 and 6 months by Maxime Antoni, Mohamed Zaibi, ReSurg, Florent Baldairon

“…Most patients had a superior tear (53%) and had their right side operated (69%). The authors noted patient demographics, surgical data, and pre‐ and postoperative driving details, as well as the Constant score, American Shoulder and Elbow Surgeons (ASES) score, and Subjective Shoulder Value (SSV) at 6 and 12 months. …”
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Optimization of a preeclampsia early warning model driven by psychosocial factors: a five-year cohort study and its clinical impact by Rumin Wang, Qinkan Xu, Xiaodi Wang, Caiqiu Li, Huihui Hu

“…A preeclampsia early warning model incorporating multiple clinical indicators, including psychosocial factors (Modified Pregnancy Stress Scale-Revised [MPSS-R] scores and social support), was constructed through multivariable logistic regression analysis, and its predictive performance was evaluated via receiver operating characteristic (ROC) curves.Results A total of 173 preeclampsia patients and 346 controls were included. …”
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POSTOPERATIVE INFECTIOUS COMPLICATIONS IN PATIENTS WITH URINARY DISEASE by A. Ch. Usupbaev, B. A. Kabaev, A. S. Imankulova, N. Zh. Sadyrbekov, K. S. Cholponbaev, A. A. Usupbaeva

“…As an object of research we used a medical card 232 of the operated patients with urolithiasis, which were copied out in individual registration card. …”
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Optimizing Healthcare Expenditure for Spinal Cord Stimulation in Italy: The Value of Battery Longevity Improvement and a Direct-to-Implant Approach by Federica Tito, Gianfranco Sindaco, Simon Eggington, Elisa Tacconi, Francesca Borghetti, Mara Corbo, Gilberto Pari

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Improving the reliability of the forecast of the quality of carbonate raw materials by К. V. Repina

“…Selective mining of non-metallic raw materials provides the possibility of shortening the chain of processing and beneficiation operations, while reducing mining waste. Geological and technological mapping facilitates implementation of this approach for many types of raw materials. …”
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