POSSIBILITIES FOR IMPROVEMENT OF RISK MANAGEMENT PRACTICES IN THE COAL MINING INDUSTRY OF THE FEDERATION OF BOSNIA AND HERZEGOVINA by Safet Kozarević, Adil Kurtić, Emira Kozarević

“…This particularly affects the coal industry, where risk exposure is rather evident and makes risk management one of the key management issues in general. A central point of the analysis includes companies in the coal industry of the Federation of Bosnia and Herzegovina (F BiH), where the management needs to be greatly concerned about protection against risks that affect this industry much more than other industries, in particular pure risks (those that involve only the possibility of loss and no possibility of gain). …”
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Optimal Power Flow using An Optimally Tuned Pattern Search Algorithm by Firmansyah Nur Budiman, Taufal Hidayat, Rudi Uswarman

“…The tuning process, performed using the classical interior point method (IPM), provides optimal initial control variable values for the standard pattern search (PS) algorithm. …”
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Motor Neuron Disease: The Contribution of TAR-43 Gene in Amyotrophic Lateral Sclerosis by Gorky Guha

“…Hyperphosphorylated and ubiquitinated TDP-43 deposits function as inclusion bodies in the brain and spinal cord which causes ALS. …”
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Systems-level analysis of NalD mutation, a recurrent driver of rapid drug resistance in acute Pseudomonas aeruginosa infection. by Jinyuan Yan, Henri Estanbouli, Chen Liao, Wook Kim, Jonathan M Monk, Rayees Rahman, Mini Kamboj, Bernhard O Palsson, Weigang Qiu, Joao B Xavier

“…A detailed analysis of one patient's timeline shows how this mutation can emerge in vivo and drive rapid evolution of resistance while the patient received cancer treatment, a bone marrow transplantation, and antibiotics up to the point of causing the patient's death. Transcriptomics analysis confirmed the primary mechanism of NalD action-a loss-of-function mutation that caused constitutive overexpression of the MexAB-OprM efflux system-which lead to aztreonam resistance but, surprisingly, had no fitness cost in the absence of the antibiotic. …”
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Building Change Detection Network Based on Multilevel Geometric Representation Optimization Using Frame Fields by Fachuan He, Hao Chen, Shuting Yang, Zhixiang Guo

“…Furthermore, a discriminative loss function is constructed through multi-task learning to optimize the polygonal structured information of the building targets. …”
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Generative adversarial local density-based unsupervised anomaly detection. by Xinliang Li, Jianmin Peng, Wenjing Li, Zhiping Song, Xusheng Du

“…First, by utilizing the adversarial process of GANs, including the loss function and the rarity of anomaly objects, we constrain the generator to primarily fit the probability distribution of normal objects during the unsupervised training process; Subsequently, a synthetic dataset is sampled from the generator, and the local synthetic density, which is defined by measuring the inverse of the sum of distances between a data point and all objects in its synthetic neighborhood, is calculated; Finally, the objects that show substantial density deviations from the synthetic data are classified as anomaly objects. …”
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Polymerization and flanking domains of the bactofilin BacA collectively regulate stalk formation in Asticcacaulis biprosthecum. by Maxime Jacq, Paul D Caccamo, Yves V Brun

“…We then show that loss of these terminal domains leads to cells with severe morphological abnormalities, typically presenting a pseudostalk phenotype. …”
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Neglected Chronically Dislocated Hip in a Prader-Willi Child: A Case Report and Literature Review by Aakarsh Aggarwal, Prateek Behera, Dibya Ranjan Sahoo, Vimal Prakash, John A Santoshi, Kuldeep Singh

“…Introduction: Prader-Willi syndrome (PWS) is an uncommon genetic disorder resulting from the loss of function of genes in the paternal copy of chromosome 15q11.2-q13. …”
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Video Analysis and Frame Prediction Based on Improved Object Detection and ConvGRU by Xijuan Wang, Ru Chen

“…The loss function and average accuracy mean have been improved, with a maximum detection accuracy of 0.947. …”
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The background of mitochondrial DNA haplogroup J increases the sensitivity of Leber's hereditary optic neuropathy cells to 2,5-hexanedione toxicity. by Anna Ghelli, Anna Maria Porcelli, Claudia Zanna, Sara Vidoni, Stefano Mattioli, Anna Barbieri, Luisa Iommarini, Maria Pala, Alessandro Achilli, Antonio Torroni, Michela Rugolo, Valerio Carelli

“…Leber's hereditary optic neuropathy (LHON) is a maternally inherited blinding disease due to mitochondrial DNA (mtDNA) point mutations in complex I subunit genes, whose incomplete penetrance has been attributed to both genetic and environmental factors. …”
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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…We articulate the mathematical characteristics of feature selection driven by NAM, delineate the convergence attributes of the loss function, and present measures of explainability through Shapley Additive Explanations (SHAP). …”
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SGSNet: a lightweight deep learning model for strawberry growth stage detection by Zhiyu Li, Jianping Wang, Guohong Gao, Yufeng Lei, Chenping Zhao, Yan Wang, Haofan Bai, Yuqing Liu, Xiaojuan Guo, Qian Li

“…Finally, the Inner-IoU optimization loss function is applied to accelerate model convergence and enhance detection accuracy.ResultsTesting results indicate that SGSNet performs exceptionally well across key metrics, achieving 98.83% precision, 99.45% recall, 99.14% F1 score, 99.50% mAP@0.5, and a loss value of 0.3534. …”
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Statistical Analysis of Inverse Weibull based on Step-Stress Partially Accelerated Life Tests with Unified Hybrid Censoring Data by Amal Soliman Hassan, Abd ELwahab Hagag, Nader Metwally, Omar Hussein Sery

“…For the purpose of estimating the model parameters and acceleration factor, the maximum likelihood approach is applied along with the maximum product of the spacing procedure to generate point and interval estimates. The squared error loss function is used to calculate the Bayes point estimates based on the assumption of independent gamma priors. …”
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Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data by Zhibin Zhang, Zhewei Zhang, Zhaoxiang Peng, Yihong Dong

“…The other part is the weight network, which calculates the weights of different nodes of different classes to assign weights to the objective function through the GCN model. The main body of the final objective function is the weighted cross-entropy loss function, while the logits of the model output are adjusted and a regularisation term is added to the objective function in order to deal with the discrete points in the data. …”
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“Effect of post-kidney transplant diabetes mellitus on long-term outcomes in a cohort of pediatric kidney transplant recipients from 2005 to 2022.” Survival analysis by Lina Maria Serna-Higuita, Maria Alejandra Calvo-Herrera, Angelica Maria Serna-Campuzano, María Carolina Isaza-Lopez, Esteban Villegas-Arbeláez, Luisa Fernanda Rojas-Rosas, Carolina Lucia Ochoa-García

“…Patients with PTDM/iCHO also exhibited significantly worse eGFR at all time points compared with patients without PTDM/iCHO (p=0.036)Conclusion Patients with PTDM and iCHO had a higher risk of graft loss and lower renal function in paediatric kidney transplant recipients. …”
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Convergence Analysis of the Approximation Problems for Solving Stochastic Vector Variational Inequality Problems by Meiju Luo, Kun Zhang

“…For solving this problem, we employ the regularized gap function of SVVIP to the loss function and then give a low-risk conditional value-at-risk (CVaR) model. …”
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Joint neural denoising and consolidation for portable handheld laser scan by T. Zhang, S. Filin

“…We demonstrate how the commonly used <em>L</em>₂-driven loss functions generate non-smooth output and volume shrinkage, and alleviate this by ones that mitigate the noisy outcome, repair voids, and improve point density distributions. …”
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The level of the transcription factor Pax6 is essential for controlling the balance between neural stem cell self-renewal and neurogenesis. by Stephen N Sansom, Dean S Griffiths, Andrea Faedo, Dirk-Jan Kleinjan, Youlin Ruan, James Smith, Veronica van Heyningen, John L Rubenstein, Frederick J Livesey

“…Analyses of the biological function of Pax6 in neural stem cells through phenotypic analyses of Pax6 gain- and loss-of-function mutant cortices demonstrated that the Pax6-regulated networks operating in neural stem cells are highly dosage sensitive. …”
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Knockout of AMPA receptor binding protein Neuron-specific gene 2 (NSG2) enhances associative learning and cognitive flexibility by Amber J. Zimmerman, Antonio Serrano-Rodriguez, Melody Sun, Sandy J. Wilson, David N. Linsenbardt, Jonathan L. Brigman, Jason P. Weick

“…Abstract The vast majority of gene mutations and/or gene knockouts result in either no observable changes, or significant deficits in molecular, cellular, or organismal function. However, in a small number of cases, mutant animal models display enhancements in specific behaviors such as learning and memory. …”
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Using Nearest-Neighbor Distributions to Quantify Machine Learning of Materials’ Microstructures by Jeffrey M. Rickman, Katayun Barmak, Matthew J. Patrick, Godfred Adomako Mensah

“…Such approaches are typically based on the minimization of a binary cross-entropy loss function that compares constructed images to a ground truth at the pixel level over many epochs. …”
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