Optimal Scheduling of Energy Storage Systems with Private Ownership Based on a Stochastic-Robust Hybrid Optimization Model in Energy and Ancillary Services Markets by Mohammad Farahani, Abouzar Samimi, Hossein Shateri

“…The proposed formulation based on the Mixed Integer Nonlinear Programming (MINLP) model is implemented in the GAMS software environment and the results demonstrate the maximum profitability of BES in EM (21% more) and also show participation in providing ancillary services, such as reserve to provide security in incidents and reactive power to maintain stability and reduce cost and losses, despite the decrease in profit, leads to neutralizing the negative impact of uncertainties in the BES profit..…”
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E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review by Abed Mutemi, Fernando Bacao

“…The e-commerce industry’s rapid growth, accelerated by the COVID-19 pandemic, has led to an alarming increase in digital fraud and associated losses. To establish a healthy e-commerce ecosystem, robust cyber security and anti-fraud measures are crucial. …”
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UV-C light irradiation effects on two rose cultivars infected with Botrytis cinerea by Eduardo Espejel-Maycotte, Ma de Lourdes Arevalo-Galarza, Jose Alfredo Carrillo-Salazar, José Refugio Lomelí-Flores, Victoria Ayala-Escobar, Luis Francisco Salomé-Abarca

“….: Fr) is one of the most important diseases that cause great economic losses in cut roses. Chemical fungicides are widely used for disease management. …”
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Application of Energy Saving and Environmental Protection Materials in Architectural Design by Zixiang Yan

“…However, when the mass ratio of the phase change energy storage material contained in the wall is greater than 15%, the phenomenon of wetting and leakage will occur, which will cause greater losses when added to the wall. Therefore, it is not suitable for application and building walls. …”
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Climate change-driven shifts in the global distribution of tomato and potato crops and their associated bacterial pathogens by Muhammad Hubab, Niloufar Lorestani, Rogayah Akram Mheisin Al-Awabdeh, Farzin Shabani

“…Future efforts should focus on vulnerable areas to prevent significant economic losses and ensure food security.…”
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Polymorphism of the <i>Rca2</i> anthracnose resistance gene in strawberry cultivars (<i>Fragaria × ananassa</i>) by A. S. Lyzhin, I. V. Lukyanchuk, E. V. Zhbanova

“…Anthracnose, caused by phytopathogenic fungi of the genus Colletotrichum, is one of the most important strawberry diseases. Strawberry yield losses from anthracnose lesions can reach 80%. Most strawberry cultivars are susceptible to anthracnose. …”
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Impacts of tropical cyclones on extreme precipitation and flooding in a humid subtropical inland basin of China by Huishan Chen, Longfei Han, Yuying Tang, Juan Chen, Chaogui Lei, Xichun Li

“…Study focus: Tropical Cyclones (TCs) usually cause extreme precipitation events (EPEs) and flooding in both coastal and inland areas, resulting in severe economic losses. However, TC impacts in inland regions were seldom investigated. …”
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Heat accumulator with aerogel-based thermal insulation material by A. V. Fedyukhin, V. A. Karasevich, M. S. Povernov, O. V. Afanas’eva

“…Despite the complexity and high cost of creating thermal insulating materials based on aerogel, its use as part of a thermal accumulator will help avoid many problems associated with aging, destruction and frequent replacement of thermal insulation, reduce the load on thermal insulation structures and significantly increase the economic efficiency of thermal power systems, reducing losses during production and transfer of thermal energy.…”
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Demise of Kreutz Sungrazing Comet C/2024 S1 (ATLAS) by David Jewitt, Jane Luu, Jing Li

“…We consider processes operating to destroy the nucleus when near perihelion, concluding that rotational instability and sublimation losses work together toward this end, even before entry of the comet into the Roche lobe of the Sun.…”
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Flexible, Front-Facing Luminescent Solar Concentrators Fabricated from Lumogen F Red 305 and Polydimethylsiloxane by Ian A. Carbone, Katelynn R. Frawley, Melissa K. McCann

“…Thin-film devices demonstrated less light collection than bulk-doped devices further from the device centers possibly due to quenching and self-absorption losses at higher dye concentrations. Light collection was minimally impacted by moderate bending in both LSC designs, suggesting that flexible, front-facing devices could be effectively deployed on curved and uneven surfaces. …”
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International Organizations: the Main Factors of Emergence and Development by L. S. Voronkov

“…The article presents the main factors that in later stages of internationalization and development of contemporary international relations gave the impetus to emergence and development of international organizations, including the military-technological revolution, that gave birth to mass destruction weapons and avalanche-like growth of the number of human and material losses during wars and military conflicts, the Cold War between world communism and world capitalism, the collapse of the colonial system and formation ofa new main contradiction of the world politics between the "Club of rich countries" and states of the "global periphery", beginning of development of regional integration processes and, finally, the emergence of global problems. …”
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Resistance of modern spring barley cultivars to harmful organisms by A. G. Semenova, A. V. Anisimova, O. N. Kovaleva

“…Diseases and pests cause great damage to barley stands and harvests. Harvest losses from harmful organisms reach 25–30%.Materials and methods. …”
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Zoning and assessing the potential for landslide in the Shidri Chach basin using the ANP model by aghail madadi, ebrahim beheshti javid, nazfar aghazadeh

“…During the last years, following an increase in damages due to occurrence of landslides, human has decided to reduce such losses. Therefore, identifying regions susceptible to landslide and classifying them can partly help man to prevent from happening above phenomena. …”
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Collaborative security assessment of cloud-edge-device distributed systems based on order parameters by FAN Qigang, JIANG Zhongyuan, LI Xinghua, MA Jianfeng

“…However, in recent years, frequent attacks on cloud-edge-device systems have resulted in serious security risks and significant economic losses for users. The defense mechanisms of cloud-edge-device systems have been found to operate independently, leading to major differences in the ability to resist risks, which makes it difficult to eliminate global security risks. …”
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Late blight resistance of wild potato species under field conditions in the Northwest of Russia by N. M. Zoteyeva

“…Despite the great efforts made by breeders, late blight remains a paramount cause of significant potato harvest losses. Introgression of various resistance genes from wild Solanum L. species is the main method to increase the resistance in potato cultivars. …”
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CAT-RFE: ensemble detection framework for click fraud by Yixiang LU, Guanggang GENG, Zhiwei YAN, Xiaomin ZHU, Xinchang ZHANG

“…Click fraud is one of the most common methods of cybercrime in recent years, and the Internet advertising industry suffers huge losses every year because of click fraud.In order to effectively detect fraudulent clicks within massive clicks, a variety of features that fully combine the relationship between advertising clicks and time attributes were constructed.Besides, an ensemble learning framework for click fraud detection was proposed, namely CAT-RFE ensemble learning framework.The CAT-RFE ensemble learning framework consisted of three parts: base classifier, recursive feature elimination (RFE) and voting ensemble learning.Among them, the gradient boosting model suitable for category features-CatBoost was used as the base classifier.RFE was a feature selection method based on greedy strategy, which can select a better feature combination from multiple sets of features.Voting ensemble learning was a learning method that combined the results of multiple base classifiers by voting.The framework obtained multiple sets of optimal feature combinations in the feature space through CatBoost and RFE, and then integrated the training results under these feature combinations through voting to obtain integrated click fraud detection results.The framework adopted the same base classifier and ensemble learning method, which not only overcame the problem of unsatisfactory integrated results due to the mutual constraints of different classifiers, but also overcame the tendency of RFE to fall into a local optimal solution when selecting features, so that it had better detection ability.The performance evaluation and comparative experimental results on the actual Internet click fraud dataset show that the click fraud detection ability of the CAT-RFE ensemble learning framework exceeds that of the CatBoost method, the combined method of CatBoost and RFE, and other machine learning methods, proving that the framework has good competitiveness.The proposed framework provides a feasible solution for Internet advertising click fraud detection.…”
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Selenium nanoparticles and maize: Understanding the impact on seed germination, growth, and nutrient interactions by Ezequiel García-Locascio, Edgardo I. Valenzuela, Pabel Cervantes-Avilés

“…This study reveals that while Se NPs can enhance maize germination and growth at specific concentrations, excessive exposure can severely affect the development of maize seeds and seedlings, potentially leading to significant economic losses.…”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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Mapping of Flood and Landslide Prone Areas using Composite Mapping Analysis Method Based on Geographic Information System in East Aceh by Maya Maulita, Nurdin Nurdin, Taufiq Taufiq

“…Disaster is an event that causes great losses to the community. Disasters are destructive, very detrimental, and require a long time to recover. …”
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Predicting changes in agricultural yields under climate change scenarios and their implications for global food security by Christine Li, James Camac, Andrew Robinson, Tom Kompas

“…Based on our analysis, the use of pooled OLS may underestimate yield losses. We also use a block-bootstrapping approach to quantify uncertainty across multiple dimensions, including modeler choices, climate projections from the sixth Coupled Model Intercomparison Project (CMIP6), and emissions scenarios from Shared Socioeconomic Pathways (SSP). …”
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