Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

“…Dimensionality reduction methods, such as Principal Component Analysis, can reduce computational resources but may alter the original feature structure, leading to a loss of some detailed information in the dataset. To address this issue, a gradient boosting decision tree (GBDT) model for gas emission prediction was developed. …”
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Modeling the micro-acceleration field in the protected zone of vibration-proof devices for implementation of gravity-sensitive processes on board a small technological spacecraft by A. V. Sedelnikov, A. S. Taneeva

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Frameworks for measuring population health: A scoping review. by Sze Ling Chan, Clement Zhong Hao Ho, Nang Ei Ei Khaing, Ezra Ho, Candelyn Pong, Jia Sheng Guan, Calida Chua, Zongbin Li, Trudi Lim, Sean Shao Wei Lam, Lian Leng Low, Choon How How

“…The results in this review serve as a useful resource for governments and healthcare organizations for informing their population health measurement efforts.…”
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Knowledge and attitude towards ankle sprain management among primary care physicians in the department of family medicine, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia by Abdullah A. Alzahrani, Norah A. AlQarni, Fahad S. Alghamdi, Tariq A. Alghamdi

“…A total of 55 (62.5%) of the study physicians utilize the Ottawa Ankle Rules to guide the need for X-ray imaging in ankle sprains, and 52 (59.1%) routinely provide information on preventive measures to patients diagnosed with an ankle sprain. …”
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Dynamic Analysis, Circuit Design, and Synchronization of a Novel 6D Memristive Four-Wing Hyperchaotic System with Multiple Coexisting Attractors by Fei Yu, Li Liu, Hui Shen, Zinan Zhang, Yuanyuan Huang, Changqiong Shi, Shuo Cai, Xianming Wu, Sichun Du, Qiuzhen Wan

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Capable design or designing capabilities? An exploration of service design as an emerging organizational capability in Telenor – Martinkenaite by Ieva Martinkenaite, Karl Joachim Breunig, Annita Fjuk

“…This study thus contributes by informing how service design can evolve into an organizational capability, as well as by bridging the emerging literature on service design and design thinking with established strategy theory. …”
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Research on network risk assessment based on attack graph of expected benefits-rate by Wenfu LIU, Jianmin PANG, Xin ZHOU, Nan LI, Feng YUE

“…As Internet applications and services become more and more extensive, the endless network attacks lead to great risks and challenges to the security of information systems.As a model-based network security risk analysis technology, attack graph is helpful to find the vulnerability between network nodes and the harm of being attacked.It has been proved to be an effective method to find and prevent network security risks.Attack graph is mainly divided into state-based attack graph and attribute-based attack graph.Due to the problem of state explosion in state-based attack graph, most researchers prefer the attribute-based attack graph for network risk assessment.In view of the existing researches on attribute-based attack graph, they excessively rely on the vulnerability of network nodes and the essential attributes of atomic attack.However, they ignore that rational attackers usually choose specific attack paths by maximizing attack benefits.Then, a network risk assessment framework and a quantification method of attack benefits-rate based on expected benefits-rate attack graph were proposed.The network risk assessment framework took the open vulnerability resource database, the new vulnerabilities found by the vulnerability mining system and the big data related to network attack and defense as the basic data source.The network risk assessment framework also took the open source big data platform as the analysis tool to mine and calculate the elements related to attack cost and attack benefit.Using the concepts of cost, benefit and benefit-rate in economics, the calculation model of expected benefit-rate of atomic attack was constructed.By constructing the attribute-based attack graph of the target network, the expected benefit-rate of atomic attack on the attack path was calculated, and the expected benefit-rate list of all possible attack paths was generated.Furthermore, taking the expected goal as the starting point, the search was carried out according to the specific optimization strategy (backtracking method, greedy algorithm, dynamic programming).And the complete attack path with the maximum benefit-rate was obtained, which provided the basis for network risk assessment.The simulation results show the effectiveness and rationality of the proposed expected benefit-rate attack graph network risk assessment method, which can provide support for discovering and preventing network security problems.…”
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ESD-YOLOv8: An Efficient Solar Cell Fault Detection Model Based on YOLOv8 by Lingyun Zhang, Xu Wu, Zihan Liu, Panlin Yu, Mingfen Yang

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Decode Brain System: A Dynamic Adaptive Convolutional Quorum Voting Approach for Variable-Length EEG Data by Tao Xu, Yun Zhou, Zekai Hou, Wenlan Zhang

“…However, current approaches either fix the length of EEG recordings in each trial which would lose information hidden in the data or use the sliding window which would consume large computation on overlapped parts of slices. …”
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A universal panel of STR loci for the study of polymorphism of the species <i>Canis lupus</i> and forensic identification of dog and wolf by A. E. Hrebianchuk, I. S. Tsybovsky

“…Commercial panels of microsatellite (STR) loci are intended for DNA analysis of the domestic dog (Canis lupus familiaris) and, therefore, when genotyping the Grey wolf (Canis lupus lupus), most markers reveal significant deviations from the Hardy–Weinberg equilibrium and have a low informative value, which complicates their use in a forensic examination. …”
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An observation-based method to estimate carbonate system variations in the Labrador Sea by Claire Boteler, Michael Dowd, Eric C. J. Oliver, Douglas W. R. Wallace

“…Interior ocean observations are minimal for some of these variables, however, connections between the variables rooted in chemistry were used to create pseudo-observations using CO2SYS, increasing the information available. A state space model was designed that combined GLODAP and SOCAT observations along with pseudo-observations in a time series estimate of the carbonate system. …”
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A Miniaturized Broadband and High Gain Planar Vivaldi Antenna for Future Wireless Communication Applications by Permanand Soothar, Hao Wang, Chunyan Xu, Yu Quan, Zaheer Ahmed Dayo, Muhammad Aamir, Badar Muneer

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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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Challenges for funders in monitoring compliance with policies on clinical trials registration and reporting: analysis of funding and registry data in the UK by Rachel L Knowles, Frances Rawle, Kam Pou Ha, Julia Mueller, Rosa Parker

“…Identifying trials from grant management and grant monitoring systems was challenging therefore funders should ensure investigators reliably provide trial registries with information and regularly update entries with details of trial publications and protocols.…”
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Ability of pulse oximetry-derived indices to predict hypotension after spinal anesthesia for cesarean delivery: A systematic review and meta-analysis. by Yuriko Kondo, Eishin Nakamura, Hisashi Noma, Sayuri Shimizu, Takahisa Goto, Takahiro Mihara

“…We searched MEDLINE, Embase, Web of Science, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, ClinicalTrials.gov, European Union Clinical Trials Register, World Health Organization International Clinical Trials Registry Platform, and University Hospital Medical Information Network Clinical Trials Registry databases from inception until June 15, 2023. …”
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Multimodal fluorescence-optoacoustic in vivo imaging of the near-infrared calcium ion indicator NIR-GECO2G by Sarah F. Shaykevich, Justin P. Little, Yong Qian, Marie-Eve Paquet, Robert E. Campbell, Daniel Razansky, Shy Shoham

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Identification and characterization of CONSTANS-like (COL) gene family in upland cotton (Gossypium hirsutum L.). by Darun Cai, Hui Liu, Na Sang, Xianzhong Huang

“…Flowering time in wild cotton (Gossypium spp.) has strict photoperiod sensitivity, but domesticated cotton is day-neutral. Information on the molecular characterization of the CO and CO-like (COL) genes in cotton is very limited. …”
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Heat exchange processes in volume of fire-tube boiler with non-water heat transfer fluid by A. G. Mikhailov, O. V. Vdovin, E. N. Slobodina

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The analysis of operability of dilatometric microthruster with polymer working components by M. V. Smagin, E. E. Kolyagin, I. S. Vavilov

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Previous Intestinal Resection Is Associated with Postoperative Complications in Crohn’s Disease: A Cohort Study by Yantao Duan, Yifan Liu, Yousheng Li

“…Data on patients with CD undergoing surgery in our department from January 2016 through December 2019 were retrospectively reviewed. Information collected included demographic details, surgical data, and postoperative outcome. …”
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