Is noxious stimulus-evoked electroencephalography response a reliable, valid, and interpretable outcome measure to assess analgesic efficacy in neonates? A systematic review and in... by Luke Baxter, Marianne van der Vaart, Maria M. Cobo, Patricia Y. Gunawan, Karel Allegaert, Jonathan M. Davis, Mark Turner, Robert M. Ward, Edress Darsey, James P. Sheppard, Aomesh Bhatt, John van den Anker, An N. Massaro, Ramona L. Walls, Laura S. Song, Kanwaljit Singh, INC Pain Working Group, Rebeccah Slater

“…Abstract Background There are several major challenges limiting our ability to test analgesic efficacy for treatment of neonatal pain, and progress in analgesic drug studies in neonates has stalled. …”
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Screening of drought resistance indices and evaluation of drought resistance in cotton (Gossypium hirsutum L.) by Jie ZOU, Wei HU, Yu-xia LI, Jia-qi HE, Hong-hai ZHU, Zhi-guo ZHOU

“…Moreover, the 16 cotton cultivars were divided into four types: drought sensitive, drought weak sensitive, moderate drought resistant, and drought resistant types. The resistance ability of two selected cotton cultivars (drought resistant cultivar, Dexiamian 1; drought sensitive cultivar, Yuzaomian 9110) with contrasting drought sensitivities were further verified by pot experiment. …”
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Drought monitoring using the Climate Hazards InfraRed Precipitation with Stations (CHIRPS) in Ethiopia by Birhan Getachew Tikuye, Ram L. Ray, Busnur Manjunatha, Gebrekidan Worku Tefera, Sanjita Gurau

“…The performance of CHIRPS data was evaluated compared to gauging stations using the coefficient of determination (R2), root means square error (RMSE), and mean absolute error (MAE) and showed a good agreement was reached. …”
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Investigation of the physical properties and pressure-induced band gap tuning of Sr3ZBr3 (Z=As, Sb) for optoelectronic and thermoelectric applications: A DFT - GGA and mBJ studies by Md. Adil Hossain, Asif Hosen, Heider A. Abdulhussein, Ahmad A. Mousa, Md. Muneef Hasan, Istiak Ahmed Ovi, Md. Riazul Islam, Redi Kristian Pingak, Mohammed S. Abu-Jafar

“…The thermodynamic properties indicate their ability to withstand and perform well at high temperatures and pressures. …”
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Comparison of CT-like MRI sequences for preoperative planning of cochlear implantation using super-high-resolution CT as a reference by Ulysse Puel, Achille Beysang, Gabriella Hossu, Michael Eliezer, Bouchra Assabah, Khalid Ambarki, Pedro Augusto Gondim Teixeira, Alain Blum, Cécile Parietti-Winkler, Romain Gillet

“…Two radiologists evaluated accuracy based on preimplantation metrics and the ability to identify various anatomical structures, particularly the facial recess and round window. …”
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Validity and reliability study of the Turkish version of the autism spectrum knowledge scale by Ayten Doğan Keskin, Nuray Öztürk, Nazan Kaytez, Neriman Aral, Fatma Elibol

“…Item Response Theory analysis confirmed the scale's psychometric strength, with difficulty parameters ranging from −1.095 to 2.252 and a marginal reliability coefficient of 0.84. The scale provides precise measurement at moderate ability levels. …”
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Psychometric validation of the Chronic Ocular Pain Questionnaire (COP-Q) by Amy Findley, Brigitte J. Sloesen, Nicola Hodson, Agkreta Leventi, Ben Pascoe, Rob Arbuckle, Paul O’Brien, Christel Naujoks, Michela Montecchi-Palmer, Diana Plaza, Paul M. Karpecki, Pedram Hamrah

“…Paired t-tests, coefficient of determination (CoD) and concordance correlation coefficients (CCC) showed statistically significant differences between the two recall period versions of the Symptom Module, although the magnitude of the difference was small, and each version shares a high level of reproducibility in scores. …”
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Skin Hydration Monitoring Using a Microwave Sensor: Design, Fabrication, and In Vivo Analysis by Shabbir Chowdhury, Amir Ebrahimi, Kamran Ghorbani, Francisco Tovar-Lopez

“…Experimental in vivo measurements confirmed the sensor’s ability to distinguish between four hydration conditions: wet skin, skin treated with moisturizer, untreated dry skin, and skin treated with Vaseline, by measuring the resonance frequencies of the sensor. …”
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Development and validation of AI-based automatic segmentation and measurement of thymus on chest CT scans by Yusheng Guo, Bingxin Gong, Guowei Jiang, Wang Du, Shuangfeng Dai, Qi Wan, Dongyong Zhu, Chanyuan Liu, Yi Li, Qing Sun, Qianqian Fan, Bo Liang, Lian Yang, Chuansheng Zheng

“…Spearman correlation analysis and intraclass correlation coefficient (ICC) were used to evaluate the correlation and reliability of the automatic measurement results. …”
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Nomogram Predictive Model for Vaginal Birth after One Prior Cesarean Section: A Retrospective Study by Fangyuan Zheng, Yangfang Sun, Xuening Liang, Jinying Zhou, Yun Chen

“…The bootstrap internal validation showed that our predictive model maintained high overall accuracy and specificity, but exhibited low sensitivity and a low Kappa coefficient. Compared to the Grobman model and Jiaming Rao et al. model, our developed prediction model possesses the strongest discriminatory ability and the highest net benefit, followed by the model by Jiaming Rao et al. …”
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Silent magnetic resonance angiography diagnostic value of intracranial unruptured aneurysms by Bin Lv, Tingyang Zhang, Ning Wang, Lu Liu, Mingyu Li, Meng Li, Mingguang Sun, Xiao Zang, Xinfeng Liu, Rongju Zhang, Xiangyu Cao, Zhihua Du, Jun Wang, Jinhao Lyu, Xueyang Wang, Qi Duan, Fangfang Guo, Xin Lou, Chenglin Tian

“…For aneurysm height, the intraclass correlation coefficient (ICC) was 0.977 (P < 0.001) between S-MRA and DSA, and 0.908 (P < 0.001) between 3D-TOF MRA and DSA. …”
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Development and application of a curcumin-cinnamon essential oil nanoemulsion agent against mycobacteria by Zhihui Lei, Zhihui Lei, Zhihui Lei, Yixuan Ren, Jinyao Wang, Haisu Shi, Hu Lin, Hong Chen, Lijun Bi, Lijun Bi, Yutang Wang, Hongtai Zhang, Hongtai Zhang, Hongtai Zhang

“…The nanoemulsion demonstrated high encapsulation efficiency (90.2%) and stability, with a stability coefficient of 0.984. Structural analysis revealed a dense network structure of the nanoemulsion and amorphous forms of Cur and CEO, enhanced by hydrogen bonding and electrostatic interactions, which improved solubility and bioavailability. …”
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Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling by WANG Zixuan, OU Bin, CHEN Dehui, YANG Shiyong, ZHAO Dingzhu, FU Shuyan

“…【Result】Case analysis demonstrates that, compared to traditional prediction models, the proposed model achieves a root mean square error (RMSE) of 0.031 9 mm, mean absolute error (MAE) of 0.015 3 mm, mean absolute percentage error (MAPE) of 2.51%, and determination coefficient (R2) of 0.971 2.【Conclusion】 The results verify that the proposed model captures and simulates the dam deformation process more accurately, exhibiting higher prediction accuracy and stronger generalization ability.…”
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Vital Sign and Biochemical Data Collection Using Non-contact Photoplethysmography and the Comestai Mobile Health App: Protocol for an Observational Study by Gianvincenzo Zuccotti, Paolo Osvaldo Agnelli, Lucia Labati, Erika Cordaro, Davide Braghieri, Simone Balconi, Marco Xodo, Fabrizio Losurdo, Cesare Celeste Federico Berra, Roberto Franco Enrico Pedretti, Paolo Fiorina, Sergio Maria De Pasquale, Valeria Calcaterra

“…Sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and likelihood ratios will be calculated to determine the ability of the new app to accurately measure vital signs. …”
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Fiber-Optic Sensor Spectrum Noise Reduction Based on a Generative Adversarial Network by Yujie Lu, Qingbin Du, Ruijia Zhang, Bo Wang, Zigeng Liu, Qizhe Tang, Pan Dai, Xiangxiang Fan, Chun Huang

“…The pre-trained algorithm demonstrates the ability to effectively denoise various spectrum types and noise profiles. …”
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GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity by Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, Sivanesan Dakshanamurthy

“…During external validation with the DUDE-Z v.2023.06.20 dataset, GNNSeq attained an average area under the curve (AUC) of 0.74, demonstrating its ability to distinguish active ligands from decoys across diverse ligand–receptor pairs. …”
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A deep learning based ultrasound diagnostic tool driven by 3D visualization of thyroid nodules by Yahan Zhou, Chen Chen, Jincao Yao, Jiabin Yu, Bojian Feng, Lin Sui, Yuqi Yan, Xiayi Chen, Yuanzhen Liu, Xiao Zhang, Hui Wang, Qianmeng Pan, Weijie Zou, Qi Zhang, Lu Lin, Chenke Xu, Shengxing Yuan, Qingquan He, Xiaofan Ding, Ping Liang, Vicky Yang Wang, Dong Xu

“…TNVis achieved a Dice similarity coefficient of 0.90 after internal testing. For the external validation, TNVis significantly improved radiologists’ performance, reaching an AUC of 0.79, compared to their diagnostic performance without the use of TNVis (AUC: 0.66; p < 0.001) and those with partial assistance (AUC: 0.72; p < 0.001). …”
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Psychological peculiarities of professional development in late adulthood by E. F. Zeer, E. E. Symanyuk, A. A. Ryabukhina, G. I. Borisov

“…The Mann-Whitney U-test, Spearman rank correlation coefficient were used for statistical analysis of the obtained data. …”
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Psychometric evaluation of the Chinese version of the BENEFITS-CCCSAT based on CTT and IRT: a cross-sectional design translation and validation study by Chuang Li, Chuang Li, Youbei Lin, Betul Tosun, Pin Wang, Hong Ye Guo, Cheng Rong Ling, Ran Qi, Qing Yue Luo, Yan Wang, Fang Huang, Jiaqi Wang, Shu Hui Ma, Dan Feng Xu, Shu Zhen Wu, Lan Zhang

“…A combined approach of classical test theory (CTT) and item response theory (IRT) was then used for multidimensional validation.ResultsThe CTT analysis showed that the C-BENEFITS-CCCSAT had a Cronbach’s α coefficient of 0.80, dimension reliability values ranging from 0.700 to 0.905, a test–retest reliability value of 0.881, and a scale-level content validity index (S-CVI) value of 0.928. …”
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Dysphagia is a risk factor of malnutrition in X-linked Dystonia-Parkinsonism by Tabitha H. Kao, Perman Gochyyev, Nutan Sharma, Jan K. de Guzman, Melanie Supnet Wells, Patrick Acuna, Shasha Li, Hannah P. Rowe, Bridget J. Perry

“…Spearman’s rank order correlation coefficient was used to determine an association between baseline EAT-10 total scores and 12-month malnutrition status, and multiple linear regression to evaluate the predictive ability of the EAT-10. …”
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