Brodalumab: Six-Year US Pharmacovigilance Report by Mark G. Lebwohl, John Y. Koo, April W. Armstrong, Bruce E. Strober, Soo Han Yoon, Nicole N. Rawnsley, Earl L. Goehring, Gina D. Mangin, Abby A. Jacobson

“…In the USA, brodalumab has a boxed warning regarding suicidal ideation and behavior and is only available under a Risk Evaluation and Mitigation Strategy, but no causal association has been established. …”
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The transcription factor dFOXO controls the expression of insulin pathway genes and lipids content under heat stress in <i>Drosophila melanogaster</i> by M. A. Eremina, P. N. Menshanov, O. D. Shishkina, N. E. Gruntenko

“…To identify the properties of interaction of two key IIS pathway components under heat stress in D. melanogaster (the forkhead box O transcription factor (dFOXO) and insulin-like peptide 6 (DILP6), which intermediates the dFOXO signal sent from the fat body to the insulin-producing cells of the brain where DILPs1–5 are synthesized), we analysed the expression of the genes dilp6, dfoxo and insulin-like receptor gene (dInR) in females of strains carrying the hypomorphic mutation dilp641 and hypofunctional mutation foxoBG01018. …”
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Hybrid Analysis of Biochar Production from Pyrolysis of Agriculture Waste Using Statistical and Artificial Intelligent-Based Modeling Techniques by Hani Hussain Sait, Ramesh Kanthasamy, Bamidele Victor Ayodele

“…To determine how residence time, nitrogen flow rate, and pyrolysis temperature affected biochar production, a Box–Behnken experimental design was employed. The prediction of the biochar yield was modeled using four different models of ANNs: narrow, medium, wide, and optimum. …”
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Opportunities for the further development of the Safety Case for deep geological repositories by transdisciplinary research – FEP catalogs and scenario development by Marcel Ebeling, Martina Heiermann, Klaus-Jürgen Röhlig

“…There were also proposals for the use of a morphological box to achieve this goal and to be able to create scenarios from FEP. …”
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Identification of core biomarkers for tuberculosis progression through bioinformatics analysis and in vitro research by Zhanpeng Chen, Qiong Wang, Quan Ma, Jinyun Chen, Xingxing Kong, Yuqin Zeng, Lanlan Liu, Shuihua Lu, Xiaomin Wang

“…Subsequent Protein-protein interaction (PPI) analysis and Receiver Operating Characteristic (ROC) curve analysis identified four core genes closely associated with TB progression, namely Rac Family Small GTPase 1 (RAC1), Ring-Box 1 (RBX1), Mitochondrial Ribosomal Protein L33 (MRPL33), and ELAV Like RNA Binding Protein 1 (ELAVL1). …”
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Türkiye’deki İkinci El Konut Satışlarının Bulanık Mantık İlişkilere Dayalı Bulanık Zaman Serisi Yaklaşımı ile Öngörüsü by Cem Koçak, Taha Bahadır Saraç

“…Bu çalışmada öncelikle Türkiye’deki ikinci el konut satış verileri için klasik ARIMA(p,d,q) (Box ve Jenkıns, 1976) ile literatürde temel bulanık zaman serisi yöntemlerinden biri olan Chen (1996)’in bulanık mantık ilişkilere dayalı yöntemlerinin öngörü performansları karşılaştırılmıştır. …”
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Annotated image dataset with different stages of European pear rust for UAV-based automated symptom detection in orchardsMendeley Data by Virginia Maß, Pendar Alirezazadeh, Johannes Seidl-Schulz, Matthias Leipnitz, Eric Fritzsche, Rasheed Ali Adam Ibraheem, Martin Geyer, Michael Pflanz, Stefanie Reim

“…Each leaf with pear rust symptoms was annotated with the drawing method by two points (bounding boxes) using the Computer Vision Annotation Tool (CVAT, v1.1.0) [1] and presented in YOLO 1.1 file format (.txt files). …”
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Impact of Wildfire Smoke Events on Indoor Air Quality and Evaluation of a Low-cost Filtration Method by Nathaniel W. May, Clara Dixon, Daniel A. Jaffe

“…A low-cost PM2.5 filtration method consisting of a Minimum Efficiency Rating Value-13 (MERV-13) filter attached to a box fan is evaluated as an alternative for improving IAQ during wildland fire smoke events. …”
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Prediction and verification of the influence of the rs367781716 SN P on the interaction of ТАТА -binding protein with the promoter of the human АВСА9 gene by O. V. Arkova, I. A. Drachkova, T. V. Arshinova, D. A. Rasskazov, V. V. Suslov, P. M. Ponomarenko, M. P. Ponomarenko, N. A. Kolchanov, L. K. Savinkova

“…We calculated the empirical value of the change in the equilibrium constant of dissociation (KD = kd /ka), which characterizes binding affinity of TBP for a promoter containing the ТАТА box. This empirical value matched the value predicted by SNP_ТАТА _Comparator within the margin of error of the measurements and calculations. …”
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On-farm hatching and contact with adult hen post hatch induce sex-dependent effects on performance, health and robustness in broiler chickens by Guilloteau, Laurence A, Bertin, Aline, Crochet, Sabine, Bagnard, Charlotte, Hondelatte, Alice, Ravon, Laure, Schouler, Catherine, Germain, Karine, Collin, Anne

“…To challenge the robustness of chickens, they were exposed on D27 to suboptimal rearing conditions by combining for 4 h transport in boxes in a new room at a lower temperature and fasting. …”
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Machine Learning-Based Relative Performance Analysis of Monocrystalline and Polycrystalline Grid-Tied PV Systems by Asfand Yar, Muhammad Yousaf Arshad, Faran Asghar, Waseem Amjad, Furqan Asghar, Muhammad Imtiaz Hussain, Gwi Hyun Lee, Faisal Mahmood

“…In this research study, the design and performance evaluation of grid-tied photovoltaic systems has been carried out through experimentation, HelioScope simulation, and black-box machine learning methods for data-driven artificial intelligence system performance assessment and validation. …”
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Parametric and non-parametric estimation of reference intervals for routine laboratory tests: an analysis of health check-up data for 260 889 young men in the South Korean military by Taeyun Kim, Hyunji Choi, Sun Min Lee

“…In the parametric approach, maximum likelihood estimation was applied to measure the Box-Cox transformation parameter and the values at the 2.5th and 97.5th percentiles were recalculated. …”
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AI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses by Saram Abbas, Rishad Shafik, Naeem Soomro, Rakesh Heer, Rakesh Heer, Kabita Adhikari

“…However, challenges include limited generalisability due to small datasets and the "black-box" nature of advanced models. Efforts to enhance explainability, such as SHapley Additive ExPlanations (SHAP), show promise but require refinement for clinical use.ConclusionThis review illuminates the nuances, complexities and contexts that influence the real-world advancement and adoption of these AI-driven techniques in precision oncology. …”
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Microleakage Evaluation of Two Methacrylate-Based Composites (GC Kalore and Luna SDI) in Class II Restorations: A Laboratory Study by Kooshan Moradi, Sadaf Sadat Mahmoudinezhad, Mehran Mapar

“…Similar class II cavities (box only) were prepared on all teeth and restored with two different composites. …”
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A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques by Abdulmumin Ahmed Shuaibu, Zhiping Zeng, Ibrahim Hayatu Hassan, Wang Weidong, Hassan Suleiman Otuoze, Suleiman Abdulhakeem, Bushrah Baba Abdulrahman

“…The temperature data were filtered to remove noise and normalized based on the Log-Pearson Type III outlier detection method and Box-Cox transformation, respectively, before being used to develop temperature-dependent models for sleeper deformation. …”
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Adversarial examples defense method based on multi-dimensional feature maps knowledge distillation by Baolin QIU, Ping YI

“…The neural network approach has been commonly used in computer vision tasks.However, adversarial examples are able to make a neural network generate a false prediction.Adversarial training has been shown to be an effective approach to defend against the impact of adversarial examples.Nevertheless, it requires high computing power and long training time thus limiting its application scenarios.An adversarial examples defense method based on knowledge distillation was proposed, reusing the defense experience from the large datasets to new classification tasks.During distillation, teacher model has the same structure as student model and the feature map vector was used to transfer experience, and clean samples were used for training.Multi-dimensional feature maps were utilized to enhance the semantic information.Furthermore, an attention mechanism based on feature map was proposed, which boosted the effect of distillation by assigning weights to features according to their importance.Experiments were conducted over cifar100 and cifar10 open-source dataset.And various white-box attack algorithms such as FGSM (fast gradient sign method), PGD (project gradient descent) and C＆amp;W (Carlini-Wagner attack) were applied to test the experimental results.The accuracy of the proposed method on Cifar10 clean samples exceeds that of adversarial training and is close to the accuracy of the model trained on clean samples.Under the PGD attack of L2 distance, the efficiency of the proposed method is close to that of adversarial training, which is significantly higher than that of normal training.Moreover, the proposed method is a light-weight adversarial defense method with low learning cost.The computing power requirement is far less than that of adversarial training even if optimization schemes such as attention mechanism and multi-dimensional feature map are added.Knowledge distillation can learn the decision-making experience of normal samples and extract robust features as a neural network learning scheme.It uses a small amount of data to generate accurate and robust models, improves generalization, and reduces the cost of adversarial training.…”
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Computational model for mammalian circadian oscillator: interacting with NAD+/SIRT1 pathway and age-related changes in gene expression of circadian oscillator by N. L. Podkolodnyy, N. N. Tverdokhleb, O. A. Podkolodnaya

“…In particular, the effects of SIRT1 in circadian oscillator are the gain of degradation of protein Per2, increasing of the gene Bmal1 transcription, deacetylation of chromatin in regulatory regions of circadian oscillator genes in the E-boxes area with subsequent suppression of transcription. …”
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Comparison of two techniques of administering the Valsalva manoeuvre in patients under general anaesthesia: A randomised controlled study by Shagun B. Shah, Vineet Chaudhary, Rajiv Chawla, Uma Hariharan, Neha Ghiloria, Jitendra Kumar Dubey

“…Results are expressed as mean (standard deviation), mean difference (95% confidence interval), dotted box–whisker plots and trendlines. P <0.05 is considered statistically significant. …”
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Effects of the Stanford Chronic Conditions Model on Behavioral and Clinical Indicators in Saudi Arabia: A Prospective Quasi-Experimental Study by Bahari G, Kerari A, Alsadoun A, Alnassar M

“…Ghareeb Bahari,1 Ali Kerari,1 Ahmed Alsadoun,2 Muhanna Alnassar2 1Nursing Administration and Education Department, College of Nursing, King Saud University, Riyadh, Saudi Arabia; 2Medical Surgical Department, College of Nursing, King Saud University, Riyadh, Saudi ArabiaCorrespondence: Ghareeb Bahari, Nursing Administration and Education Department, College of Nursing, King Saud University, P.O. Box 642, Riyadh, 11421, Saudi Arabia, Tel +966118054381, Email gbahari@ksu.edu.saPurpose: This study aimed to evaluate the 6-month impact of the Chronic Disease Self-Management Program based on the Stanford chronic condition model on behavioral and clinical indicators in individuals with chronic illnesses.Patients and Methods: This prospective, quasi-experimental study was conducted in primary healthcare centers located in Riyadh, Saudi Arabia. …”
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Effect of Footwear Versus Barefoot on Double-Leg Jump-Landing and Jump Height Measures: A Randomized Cross-Over Study by Kim Hébert-Losier, Caleb Boswell-Smith, Ivana Hanzlíková

“… # Methods Eighty healthy individuals (55% male) completed the LESS following standard procedures (i.e., land from a 30-cm box to a distance of 50% of body height and then jump upwards maximally). …”
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