bluuebunny/crossref_metadata_2025_split huggingface dataset:
Planning preclinical confirmatory multicenter trials to strengthen translation from basic to clinical research – a multi-stakeholder workshop report
Authors: Drude Natascha , Martinez-Gamboa Lorena , Danziger Meggie , Collazo Anja , Kniffert Silke , Wiebach Janine , Nilsonne Gustav , Konietschke Frank , Piper Sophie , Pawel Samuel , Micheloud Charlotte , Held Leonhard , Frommlet Florian , Segelcke Daniel , Pogatzki-Zahn Esther , Voelkl Bernhard , Friede Tim , Brunner Edgar , Dempfle Astrid , Haller Bernhard , Jung Marie Juliane , Riecken Lars Björn , Kuhn Georg , Tenbusch Matthias , Higuita Lina Maria Serna , Remarque Edmond J. , Grüninger Servan , Manske Katrin , Kobold Sebastian , Rivalan Marion , Wedekind Lisa , Wilcke Juliane C. , Boulesteix Anne-Laure , Meinhardt Marcus W. , Spanagel Rainer , Hettmer Simone , von Lüttichau Irene , Regina Carla , Dirnagl Ulrich , Toelch Ulf 
Published: July 2022

Abstract
Clinical translation from bench to bedside often remains challenging even despite promising preclinical evidence. Among many drivers like biological complexity or poorly understood disease pathology, preclinical evidence often lacks desired robustness. Reasons include low sample sizes, selective reporting, publication bias, and consequently inflated effect sizes. In this context, there is growing consensus that confirmatory multicenter studies -by weeding out false positives- represent an important step in strengthening and generating preclinical evidence before moving on to clinical research. However, there is little guidance on what such a preclinical confirmatory study entails and when it should be conducted in the research trajectory. To close this gap, we organized a workshop to bring together statisticians, clinicians, preclinical scientists, and meta-researcher to discuss and develop recommendations that are solution-oriented and feasible for practitioners. Herein, we summarize and review current approaches and outline strategies that provide decision-critical guidance on when to start and subsequently how to plan a confirmatory study. We define a set of minimum criteria and strategies to strengthen validity before engaging in a confirmatory preclinical trial, including sample size considerations that take the inherent uncertainty of initial (exploratory) studies into account. Beyond this specific guidance, we highlight knowledge gaps that require further research and discuss the role of confirmatory studies in translational biomedical research. In conclusion, this workshop report highlights the need for close interaction and open and honest debate between statisticians, preclinical scientists, meta-researchers (that conduct research on research), and clinicians already at an early stage of a given preclinical research trajectory.
Nomogram for predicting food allergy in infants with feeding problems and malnutrition
Authors: Yang Fan , Zhou Chunyan , Wang Xirui , Wang Bin , Hu Yabin , Zhang Yue , Chen Chen , Li Juan , Li Luanluan , Yu Xiaodan 
Published: July 2022

Abstract

BACKGROUND: It is difficult to diagnose food allergy in infants in General Outpatient Department of Pediatrics as oral food challenge (OFC) cannot be performed routinely.OBJECTIVE: To construct a nomogram to screen for a high probability of food allergy in infants with feeding problems and malnutrition. METHODS: From August 2018 to December 2021, 289 infants with feeding problems and malnutrition from 7 hospitals in Shanghai, China were recruited. Food allergy was defined as positive response of skin prick test or OFC with gastrointestinal, dermatologic, or respiratory symptoms. Demographic characteristics, the cow's milk-related symptom scores (CoMiSS) and blood eosinophils (EOS) were obtained for evaluating their correlation with food allergy. Variables identified by multivariate logistic regression were included to develop the nomogram model with the bootstrapped-concordance index as an assess index.RESULTS: Altogether, 249 of 289 infants with feeding problems and malnutrition had food allergy (86.2%). After analyzing, feeding pattern (Odds ratio (OR) = 5.284; 95% confidence interval (CI): 2.133-13.086), family history of allergy (OR=1.793; 95%CI: 0.713-4.508), CoMiSS score (OR=1.450; 95%CI: 1.187-1.771) and EOS percentage (OR=1.332; 95%CI: 1.111-1.598) were included to develop the model, which had a good performance with an area under the curve of 0.868 (95% CI: 0.792-0.944) and a bootstrapped-concordance index of 0.868. Among them, EOS percentage was the strongest factor producing a highly probability in the model. CONCLUSION: Nomogram model can be a useful tool to screen infants with high probability of food allergy among infants with feeding problems and malnutrition for further food allergy diagnosis.
Ectopic over-expression of HaFT-1, a 14-3-3 Protein from Haloxylon ammodendron, leads to enhanced acquired thermotolerance of transgenic Arabidopsis
Authors: Pan Rong , Ren Wenjing , Zhang Hua , Deng Xin , Wang Bo 
Published: July 2022

Abstract
Haloxylon ammodendron, an important shrub for desert afforestation, can adapt to harsh ecological environments such as drought, saline and extreme high temperature. Therefore, the study of H. ammodendron stress adaptation mechanism is of great practical significance for ecological improvement in desert areas. Previously, a heat stress (HS) responsive H. ammodendron 14-3-3 protein gene HaFT-1 with HS memory characteristics found in transcriptome was cloned and its transgenic Arabidopsis lines were obtained. In this study, its role in HS tolerance was further investigated. qRT-PCR analysis showed that HS priming enhanced the expression of HaFT-1 under the second HS and subsequent recovery treatment, indicating expression of HaFT-1 had transcriptional memory to HS. Subcellular localization showed that YFP-HaFT-1 fusion protein located in the cytoplasm of protoplasts. The survival rates of HaFT-1 overexpression seedlings were higher than that of WT after priming-and-triggering and non-primed control treatments. Cell death staining showed that cell death in HaFT-1 overexpression lines was more significantly inhibited than that in WT seedlings when treated with HS. Transcriptome analysis showed that energy generation, protein metabolism, signal transduction, biosynthesis, proline metabolism, autophagy, chlorophyll metabolism, and peroxisome were related to resistance of HaFT-1 transgenic plants to the second HS. Growth physiology analysis showed that priming-and-triggering treatment in HaFT-1 overexpression Arabidopsis promoted regulation on proline content and strengthened reactive oxygen species (ROS) scavenging activity. These results demonstrated that overexpression of HaFT-1 strengthened not only HS priming but also tolerance to the second HS of transgenic Arabidopsis, suggesting HaFT-1 as a positive regulator in acquired thermotolerance.
LncRNA NALT1 promotes colorectal cancer progression via targeting PEG10 by sponging microRNA-574-5p
Authors: Ye Menling , Zhao Lu , Zhang Lu , Wu Siyi , Li Zhao , Qin Yi , Lin Fei , Pan Linghui 
Published: July 2022

Abstract
Colorectal cancer (CRC) is currently one of the commonest tumors and the main reason of cancer-related deaths worldwide. It has been reported that long non-coding RNA (lncRNA) acts as important indicators and regulators in various cancers. New lncRNA biomarkers in CRC need to be discover urgently, as well as their functions and molecular mechanisms. NALT1 has been implicated in the occurrence of gastric cancer (GC). However, the detailed function and mechanism of NALT1 in CRC progress has not been reported. In this study, RT-qPCR was conducted to detect the expression of NALT1 in 76 CRC patients ranging from stages I through IV. To assess the biological function of NALT1, loss- and gain-of-function experiments were conducted both in vivo and in vitro. Moreover, RNA-seq, bioinformatics analysis, RNA pulldown assay, dual-luciferase reporter, Ago2-RIP, quantitative PCR, Western blot assays, and rescue experiments were performed to reveal the molecular mechanisms of competitive endogenous RNAs (ceRNAs). It was observed that high expression of NALT1 was markedly correlated with advanced cancer stage in clinic. Functionally, NALT1 downregulation inhibited cell proliferation and migration, whereas NALT1 overexpression exhibited an opposite trend both in vivo and in vitro. Bioinformatics analysis, RNA pulldown, Ago2-RIP, and luciferase reporter assays demonstrated that miRNA-574-5p was a direct target of NALT1. Additionally, dual-luciferase reporter assays, Ago2-RIP, and rescue experiments indicated that miRNA-574-5p could target the PEG10 gene directly. Our results indicated that NALT1 promoted CRC proliferation and migration by sponging miRNA-574-5p to upregulate PEG10 expression, and implied that NALT1 might act as a promising biomarker and therapeutic target for CRC.
The quantified analysis of the impact of medical humanities courses on medical student’s performance
Authors: Ho Chao-Chung , Chu Yeong-Ruey , Wu Jr-Wei , Huang Shiau‑Shian , Yang Ying-Ying 
Published: July 2022

Abstract
Background
A high-quality medical humanities education program is essential to developing a successful medical practitioner and can influence clinical performance. It is also vital to improve the evaluation of medical humanities education to restore harmonious mutual relationships in medical care. The study aimed to assess the impact of the quantity of medical humanities courses (MHC) on medical students’ academic and clinical performance.
Methods
The study included six- and seven-year medical school students (n = 354) at National Yang-Ming University who graduated between 2012 and 2014. We analyzed the correlation between these students’ performance in medical humanities courses and academic performance.
Results
Based on multivariable regression analyses and after controlling for confounding factors (gender, residential area, age at enrollment, type of administration, and length of schooling), the number of adjusted MHCs was significantly correlated with the weighted average mark (p < 0.001), performance in clinical courses (p < 0.05), and clerkship performance (p < 0.001).
Conclusion
An appropriate number of better-quality medical humanities courses were related to medical students' clinical and academic performance.
Clamping Force Model Application on the Aircraft Structural Assembly
Authors: de Mello Joao Marcos Gomes , TRABASSO Luís Gonzaga , Silva André Vinícius Santos , de Oliveira Wesley Rodrigues 
Published: July 2022

Abstract
The aeronautic manufacturing industry has been seeking to enhance competitiveness and product quality by applying the Industry 4.0´s technologies. Particularly, on the roadmap of the digital twin era, a way to achieve a reduction in manufacturing time and thus production cost is to obtain prediction models of the main elementary assembly operations and functions within aircraft manufacturing process, such as the clamping force applied by the temporary fasteners on the aircraft's structural parts. Besides being a mandatory operation, it affects multiple tasks along the product's assembly lifecycle. This work focuses on the role of the clamping force in the assembly process, establishing its functional model by means of an experimental approach based upon resources used on a real shop floor of a major aircraft manufacturer. To evince the main requirements that the clamping force tools can achieve, this work employs the Taguchi Design method, Design of Experiments and process capability analysis. The model resulted from the aforementioned methods and tools allows the assembly behavior prediction and thus the control of the manufacturing process, ultimately yielding a better geometry quality.
Coal Country Supports Climate Policy in Exchange for Transition Assistance∗
Authors: Gazmararian Alexander 
Published: July 2022

Abstract
Decarbonization to mitigate climate change will require a reduction in fossil fuel consumption. The economic effects of moving away from fossil fuels motivates communities that produce coal, oil and gas to obstruct climate policy. How could climate policy be designed to win support for decarbonization in fossil fuel communities? Answering this question requires public opinion data from these crucial regions, but national surveys often fail to recruit respondents from these areas. To overcome this limitation, we deploy a novel sampling strategy -- fielding surveys at Appalachian county fairs -- to access this hard-to reach population (N=248). Employing a multi-attribute policy experiment, we find that policies reducing transition costs, such as investments in worker healthcare and pensions and income compensation, increase support for transition assistance. In turn, respondents report willingness to back climate policy coupled with assistance for workers and community members. The findings suggest that smart policy design can build climate coalitions for decarbonization, even in the places most impacted by moving away from fossil fuels.
System identification of photovoltaic system based on fractional-order model
Authors: ebead rabiaa , Abou-Zalam Belal , Nabil Essam 
Published: July 2022

Abstract
A fractional-order model of a photovoltaic (PV) system is proposed in this paper. The system identification method is used to construct an accurate dynamical model for a PV system, a real PV module and boost converter are used to collect experimentally input-output data for the identification process. A black box modeling is considered for system identification to obtain a transfer function, without needing to make mathematical analysis. the input-output data which is measured is fitted by the least-square curve fitting method, and the parameters of the curve fitting are optimized by the Levenberg-Marquardt algorithm. the proposed fractional-order model is employed with the MATLAB and Simulink software to obtain a fractional order PID controller, which is used to extract maximum power from the PV system.
Hybrid Optical Diffractive Neural Networks (HODNNs) for Speckle Reconstruction and Physical Auto-encoding
Authors: Xiang Peng , Huang Zihao , Lan Botian , Wang Hao , Wang Yangyundou 
Published: July 2022

Abstract
All-optical Diffractive Deep Neural Network (D2NN) architecture can learn to implement various functions after the deep learning-based design of passive diffractive layers. D2NN offers unique advantages for parallel processing, speed of light processing, and low power consumption. Here, we extend by proposing Hybrid Optical Diffractive Neural Networks (HODNNs) for speckle reconstruction and physical auto-encoding. HODNNs include an all-optical Diffractive Deep Neural Network (D2NN) for light-speed, energy-efficient phase information extractions and electrical convolutional neural networks (CNNs) for high-performance feature extraction with less hardware complexity. The performance of HODNNs for speckle reconstruction and lens imaging is very comparative with NPCC, SSIM, and PSNR reach -0.98, 0.98, and 27dB, respectively. In the future, the presented frameworks can be used for deep tissue imaging and lensless microscopic imaging.
Enhancement of human bladder carcinoma cell chemosensitivity to Mitomycin C through quasi-monochromatic blue light (λ=453 nm)
Authors: Hegmann Lisa , Sturm Sofia , Niegisch Günter , Windolf Joachim , Suschek Christoph V. 
Published: July 2022

Abstract
Human urothelial bladder carcinoma (uBC) is the second most tumor entity of the urogenital tract. As far as possible, therapy for non-muscle invasive uBC takes place as resection of the tumor tissue, followed by intravesical chemotherapy or immunotherapy. Because of the high recurrence rate of uBC, there is a need for improved efficiency in the treatment. In the present in vitro study we have evaluated a new approach to enhance the cytotoxic efficiency of Mitomycin C (MMC), which is commonly used for intravesical treatment of uBC on the relevant urothelial cancer cell line RT112. For that we used quasi-monochromatic blue light (453±10 nm) at non-toxic dose of 110 J/cm2 as an additive stimulus to enhance the therapeutic efficiency of MMC (10 µg/ml). We found, that blue light exposure of RT112 cells led to a very strong increase in intracellular production of reactive oxygen species (ROS) and to a significant reduction of all function parameters of mitochondrial respiration, including basal activity and ATP production. Although not being toxic when used as a single impact, together with MMC blue light strongly enhanced the therapeutic efficiency of MMC in the form of significantly enhanced cytotoxicity via apoptosis and secondary necrosis. Our results clearly show that blue light, most likely due to its ability to increase intracellular ROS production and reduce mitochondrial respiration, increased the cytotoxic efficiency of MMC and therefore might represent an effective, low-side-effect, and success-enhancing therapy option in the local treatment of bladder cancer.
Design of intelligent decorative bracelet based on the concept of bionic design
Authors: liu yajuan , chen yanling 
Published: July 2022

Abstract
Objective Committed to the development of a new type of bracelet that integrates bionics , intelligence and decoration , to fill the vacancy of the current smart bracelet decoration function is not strong, to relieve the pressure of traditional bracelets due to accurate time, and to enhance the audience's happiness index. Method By analyzing the bionic design concept , simplify and optimize the 24 flowers that open at different times of the day as the decoration of the bracelet dial , learn from the composition techniques of Chinese paintings , and refer to the design interface of Tai Chi Yin-Yang Diagram to convey the design concept of advocating nature and returning to nature ; the lights are on to indicate the time The connection method adopts an improved tenon-and-mortise structure; the circuit uses the PADS software to design the circuit schematic diagram, and the Rhino software to construct the three-dimensional model of the product ; the product evaluation system is designed by the analytic hierarchy process and the network questionnaire survey is carried out to make the data more scientific and effective. Conclusion Through the design and research of this bracelet, the audience can get rid of the precise time limit, get time service and achieve the effect of relaxation.
QUARE: Towards a Question-Answering Model for Requirements Elicitation
Authors: Calle Johnathan , Zapata Carlos 
Published: July 2022

Abstract
Requirements elicitation is a stakeholder-centered approach; therefore, natural language remains an effective way of documenting and validating requirements. As the scope of the software domain grows, software analysts process a higher number of requirements documents, generating delays and errors while characterizing the software domain. Natural language processing is key in such a process, allowing software analysts for speeding up the requirements elicitation process and mitigating the impact of the ambiguity and misinterpretations coming from natural-language-based requirements documents. However, natural-language-processing-based proposals for requirements elicitation are mainly focused on specific domains and still fail for understanding several requirements writing styles. In this paper, we present QUARE, a question-answering model for requirements elicitation. The QUARE model comprises a meta-ontology for requirements elicitation, easing the generation of requirements-elicitation-related questions and the initial structuration of any software domain. In addition, the QUARE model includes a named entity recognition and relation extraction system focused on requirements elicitation, allowing software analysts for processing several requirements writing styles. Although software analysts address a software domain at a time, they use the same kind of questions for identifying and characterizing requirements abstractions such as actors, concepts, and actions from a software domain. Such a process may be framed into the QUARE model workflow. We validate our proposal by using an experimental process including real-world requirements documents coming from several software domains and requirements writing styles. The QUARE model is a novel proposal aimed at supporting software analysts in the requirements elicitation process.CCS CONCEPTS • Information systems~Information retrieval~Retrieval tasks and goals~Question answering • Software and its engineering~Software creation and management~Designing software~Requirements analysis • Information systems~Information retrieval~Retrieval tasks and goals~Information extraction
Reliability analysis of dynamic accuracy for the heavy-duty machine tool segmented beam
Authors: Tian Yang , Cheng Qian , Sun Yong 
Published: July 2022

Abstract
The dynamic reliability of heavy-duty CNC machine tool beam is directly related to the machining accuracy which is challenging to maintain because of the gantry machine structure. It is important to evaluate the reliability and accuracy of gantry machine components, especially the tool beam. This research investigated the dynamic accuracy of a segmented beam of gantry heavy machine tool by studying the surface morphology of the joint surface. The mechanical model of a single asperity is established based on the finite element method. The elastic and the plastic stage deformation boundary values are obtained, and the contact model of the full joint surface is established by using the Gaussian distribution characteristics. The finite element model of the sectional beam is developed by transforming the contact parameters of the joint surface. The accuracy of the model is verified by the field modal experiment. Additionally, the proposed model is used to analyze the impact of vibration on machining accuracy. The results revealed that the proposed model is highly reliable.
Point of Care Platelet Function Testing for Guided Transfusion in Neurosurgical Management of Intracranial Hemorrhage: A Systematic Review
Authors: Xu Flora Wen Xin , Lim Nicole-Ann , Sim Ming Ann , Lean Lyn Li , Loh Ne-Hooi Will , Ng Ka Ting , Chua Vanessa Tze Yuh , Chew Sophia Tsong Huey , Ti Lian Kah 
Published: July 2022

Abstract
Given the rising prevalence of antiplatelet therapy, rapid preoperative identification of patients with bleeding diathesis is necessary for the guidance of blood product administration. This is especially relevant in neurosurgery for intracranial hemorrhage (ICH), where indiscriminate transfusions may lead to further hemorrhagic or thromboembolic injury. Point-of-care (POC) testing of platelet function is a promising solution to this dilemma, as it has been proven effective in cardiac surgery. However, to date, POC platelet function testing in neurosurgery has not been extensively evaluated. This systematic review appraises the use of POC platelet function test (PFT) in emergency neurosurgery in terms of its impact on patient outcomes. A comprehensive search was conducted on four electronic databases (Pubmed, MEDLINE, Embase, and Cochrane) for relevant English language articles from their respective inceptions until 1 June 2022. We included all randomized controlled trials and cohort studies that met the following inclusion criteria: (i) involved adult patients undergoing neurosurgery for ICH; (ii) evaluated platelet function via POC PFT; (iii) reported a change in perioperative blood loss; and/or (iv) reported data on treatment-related adverse events and mortality. Assessment of study quality was conducted using the Newcastle Ottawa Quality Assessment Scale for Cohort Studies and Case-Control Studies, and the JBI Critical Appraisal Checklist for Case Series. The search yielded 2,835 studies, of which seven observational studies comprising 849 patients met the inclusion criteria for this review. Overall, there is evidence that the use of POC PFT to assess bleeding risk reduced bleeding events, thromboembolic adverse outcomes, and the length of hospitalization. However, there is currently insufficient evidence to suggest that using POC PFT improves blood product use, functional outcomes or mortality.