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1. Enterprise Benchmarks for Large Language Model Evaluation

Author

Zhang, Bing, Takeuchi, Mikio, Kawahara, Ryo, Asthana, Shubhi, Hossain, Md. Maruf, Ren, Guang-Jie, Soule, Kate, and Zhu, Yada

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science
Abstract

The advancement of large language models (LLMs) has led to a greater challenge of having a rigorous and systematic evaluation of complex tasks performed, especially in enterprise applications. Therefore, LLMs need to be able to benchmark enterprise datasets for various tasks. This work presents a systematic exploration of benchmarking strategies tailored to LLM evaluation, focusing on the utilization of domain-specific datasets and consisting of a variety of NLP tasks. The proposed evaluation framework encompasses 25 publicly available datasets from diverse enterprise domains like financial services, legal, cyber security, and climate and sustainability. The diverse performance of 13 models across different enterprise tasks highlights the importance of selecting the right model based on the specific requirements of each task. Code and prompts are available on GitHub.

Published
2024

6. Deformable Special-Shaped Projectile Impacting Basalt Target: Experiments and Analysis

Author

Ren, Guang, Wu, Haijun, Dong, Heng, Lv, Yingqing, Huang, Fenglei, Ceccarelli, Marco, Series Editor, Agrawal, Sunil K., Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, and Li, Shaofan, editor

Published
2024
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7. Machine Learning-Based Models for Predicting the Depth of Concrete Penetration

Author

Li, Meng, Wu, Haijun, Dong, Heng, Ren, Guang, Zhang, Peng, Huang, Fenglei, Ceccarelli, Marco, Series Editor, Agrawal, Sunil K., Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, and Li, Shaofan, editor

Published
2024
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14. Measurement of Br(n,γ) cross sections up to stellar s-process temperatures at the CSNS Back-n

Author

Yang, Gao-Le, An, Zhen-Dong, Jiang, Wei, Li, Xian-Kai, Qiu, Wei-Wei, Liao, Zheng-Fa, Zhuang, Zi-Yue, Zhang, Xiao-Ping, Chen, Sheng-Li, Guo, Chen-Chen, Xiao, Er-Xi, Fang, Xiao, Li, Xin-Xiang, Hu, Xin-Rong, Jiang, Bing, Wang, Jin-Cheng, Ren, Jie, Luo, Wen, Zhu, Zhi-Chao, Lan, Hao-Yang, Cao, Zong-Wei, Ma, Xu, Liu, Ying-Du, Wang, Pu-Sen, Yang, Yi, Su, Ping, Deng, Xian-Gai, He, Wan-Bing, Ma, Chun-Wang, Wang, Yu-Ting, Dai, Zhi-Tao, He, Peng-Qin, Tang, Ren-Guang, Zhou, Tao, Wang, Jing, Yi, Han, Zhang, Yue, Chen, Yong-Hao, Fan, Rui-Rui, Gao, Ke-Qing, Li, Qiang, Sun, Kang, Tan, Zhi-Xin, Gu, Min-Hao, Jing, Han-Tao, and Tang, Jing-Yu

Published
2023
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16. Effects of oat flour content on properties of potato and oat composite dough

Author

ZHANG Xi, WEI Xin-yu, ZHANG Rui, and REN Guang-yue

Subjects
potato, oat powder, dough characteristics, micro characteristics, Food processing and manufacture, TP368-456
Abstract

Objective: This study aimed to investigate the effect of adding oat flour on the characteristics of potato-oat compound dough and determine the appropriate ratio of oat flour and potato. Methods: Five different ratios of oat flour (15%, 20%, 25%, 30% and 35%) were selected and the color difference, microstructure, textural properties, rheological properties and pasting properties of the oat-potato composite dough were measured and sensory evaluation was carried out. Results: With the increase of oat flour, the color of compound dough gradually changed to red and dark. The internal microstructure of the composite dough was getting closer and closer, and hardness increased gradually; in the dynamic frequency scanning process, the elastic modulus and viscosity modulus of the compound dough with different addition amounts first increased, then decreased and then increased, and the loss factor first increased and then decreased. The initial gelatinization temperature, peak gelatinization temperature and end gelatinization temperature of compound dough decreased first and then increased. The sensory evaluation showed that the overall score of oat flour was higher than that of composite dough with other added amounts in the range of 20% ~ 25%, and it was more acceptable to consumers. Conclusion: The appropriate amount of oat flour to be added was between 20% and 25%.

Published
2023
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17. Structure, working principle and application of mechanical shell breaker

Author

HE Ting, ZHANG Rui, REN Guang-yue, DUAN Xu, LI Cai-yun, and LI Ya-chun

Subjects
shell material, nut, shelling machinery, shelling rate, Food processing and manufacture, TP368-456
Abstract

Shelling rate and kernel breaking rate are the two key indicators of shelled materials, and mechanical shelling is one of the important methods to improve these key indicators. In this paper, the common mechanical shelling methods, mechanical shelling types, mechanical shelling principles and development status of shelling materials were analyzed. The advantages and disadvantages of mechanical hulling equipment were summarized, and suggestions were made for the problems existing in the current application of mechanical hulling.

Published
2023
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21. Understanding Customer Requirements : An Enterprise Knowledge Graph Approach

Author

Shbita, Basel, Gentile, Anna Lisa, Li, Pengyuan, DeLuca, Chad, Ren, Guang-Jie, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Pesquita, Catia, editor, Jimenez-Ruiz, Ernesto, editor, McCusker, Jamie, editor, Faria, Daniel, editor, Dragoni, Mauro, editor, Dimou, Anastasia, editor, Troncy, Raphael, editor, and Hertling, Sven, editor

Published
2023
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23. Topic Detection and Summarization of User Reviews

Author

Li, Pengyuan, Huang, Lei, and Ren, Guang-jie

Subjects
Computer Science - Computation and Language
Abstract

A massive amount of reviews are generated daily from various platforms. It is impossible for people to read through tons of reviews and to obtain useful information. Automatic summarizing customer reviews thus is important for identifying and extracting the essential information to help users to obtain the gist of the data. However, as customer reviews are typically short, informal, and multifaceted, it is extremely challenging to generate topic-wise summarization.While there are several studies aims to solve this issue, they are heuristic methods that are developed only utilizing customer reviews. Unlike existing method, we propose an effective new summarization method by analyzing both reviews and summaries.To do that, we first segment reviews and summaries into individual sentiments. As the sentiments are typically short, we combine sentiments talking about the same aspect into a single document and apply topic modeling method to identify hidden topics among customer reviews and summaries. Sentiment analysis is employed to distinguish positive and negative opinions among each detected topic. A classifier is also introduced to distinguish the writing pattern of summaries and that of customer reviews. Finally, sentiments are selected to generate the summarization based on their topic relevance, sentiment analysis score and the writing pattern. To test our method, a new dataset comprising product reviews and summaries about 1028 products are collected from Amazon and CNET. Experimental results show the effectiveness of our method compared with other methods.

Published
2020

25. Study on the applicability of two numerical models for simulation of infrared turbulent spouted bed

Author

HOU Zhi-yun, DUAN Xu, REN Guang-yue, LI Lin-lin, and XU Yi-ming

Subjects
infrared spouted bed, dry, turbulence model, hydrodynamic performance, flow field characteristics, numerical simulation, Food processing and manufacture, TP368-456
Abstract

Objective： This study aimed to obtain suitable turbulence model for simulation infrared combined spouted bed numerical valued. Methods: Two equation models (SST k-ε and Realizable k-ε) were used for numerical simulation to obtain the performance parameters of the infrared spouted bed and the velocity, temperature and particle concentration distribution of the flow field in the drying chamber under different working conditions. The particle drying experiment of the infrared spouted bed was carried out. Results: When under the working conditions of air inlet velocity of infrared spouted bed drying chamber of 8 m/s and a temperature of 50 ℃, the values obtained by Realizable k-ε simulation are similar to those obtained by SST k-ε. The particle volume fraction distribution, velocity distribution and temperature distribution in the fluid domain of the drying chamber obtained by numerical simulation with the two turbulence models were similar, and the overall effect is good, which showed that the application of the two turbulence models to the equipment is feasible. The turbulence model of Realizable k-ε converged faster, but the stability of SST k-ε was better. Conclusion: The Realizable k-ε turbulence model is more reasonable to describe three-dimensional flow field of infrared spouted bed.

Published
2023
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27. Fungal diversity notes 1512–1610: taxonomic and phylogenetic contributions on genera and species of fungal taxa

Author

Jayawardena, Ruvishika S., Hyde, Kevin D., Wang, Song, Sun, Ya-Ru, Suwannarach, Nakarin, Sysouphanthong, Phongeun, Abdel-Wahab, Mohamed A., Abdel-Aziz, Faten A., Abeywickrama, Pranami D., Abreu, Vanessa P., Armand, Alireza, Aptroot, André, Bao, Dan-Feng, Begerow, Dominik, Bellanger, Jean-Michel, Bezerra, Jadson D. P., Bundhun, Digvijayini, Calabon, Mark S., Cao, Ting, Cantillo, Taimy, Carvalho, João L. V. R., Chaiwan, Napalai, Chen, Che-Chih, Courtecuisse, Régis, Cui, Bao-Kai, Damm, Ulrike, Denchev, Cvetomir M., Denchev, Teodor T., Deng, Chun Y., Devadatha, Bandarupalli, de Silva, Nimali I., dos Santos, Lidiane A., Dubey, Nawal K., Dumez, Sylvain, Ferdinandez, Himashi S., Firmino, André L., Gafforov, Yusufjon, Gajanayake, Achala J., Gomdola, Deecksha, Gunaseelan, Sugantha, Shucheng-He, Htet, Zin H., Kaliyaperumal, Malarvizhi, Kemler, Martin, Kezo, Kezhocuyi, Kularathnage, Nuwan D., Leonardi, Marco, Li, Ji-Peng, Liao, Chunfang, Liu, Shun, Loizides, Michael, Luangharn, Thatsanee, Ma, Jian, Madrid, Hugo, Mahadevakumar, S., Maharachchikumbura, Sajeewa S. N., Manamgoda, Dimuthu S., Martín, María P., Mekala, Niranjan, Moreau, Pierre-Arthur, Mu, Yan-Hong, Pahoua, Pasouvang, Pem, Dhandevi, Pereira, Olinto L., Phonrob, Wiphawanee, Phukhamsakda, Chayanard, Raza, Mubashar, Ren, Guang-Cong, Rinaldi, Andrea C., Rossi, Walter, Samarakoon, Binu C., Samarakoon, Milan C., Sarma, Vemuri V., Senanayake, Indunil C., Singh, Archana, Souza, Maria F., Souza-Motta, Cristina M., Spielmann, Adriano A., Su, Wenxin, Tang, Xia, Tian, XingGuo, Thambugala, Kasun M., Thongklang, Naritsada, Tennakoon, Danushka S., Wannathes, Nopparat, Wei, DingPeng, Welti, Stéphane, Wijesinghe, Subodini N., Yang, Hongde, Yang, Yunhui, Yuan, Hai-Sheng, Zhang, Huang, Zhang, Jingyi, Balasuriya, Abhaya, Bhunjun, Chitrabhanu S., Bulgakov, Timur S., Cai, Lei, Camporesi, Erio, Chomnunti, Putarak, Deepika, Y. S., Doilom, Mingkwan, Duan, Wei-Jun, Han, Shi-Ling, Huanraluek, Naruemon, Jones, E. B. Gareth, Lakshmidevi, N., Li, Yu, Lumyong, Saisamorn, Luo, Zong-Long, Khuna, Surapong, Kumla, Jaturong, Manawasinghe, Ishara S., Mapook, Ausana, Punyaboon, Wilawan, Tibpromma, Saowaluck, Lu, Yong-Zhong, Yan, JiYe, and Wang, Yong

Published
2022
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35. Progress on Schistosomiasis Research in China

Author

Zhang, Jian-feng, Xu, Jing, Wen, Li-yong, Zhao, Zheng-yuan, Zhu, Yong-hui, Wang, Hui-lan, Ren, Guang-hui, Guan, Wei, Qian, Ying-jun, Yang, Guo-jing, Sun, Le-ping, Hong, Qing-biao, Wang, Wei, Li, Shi-zhu, Zhou, Xiao-nong, Li, Liming, Section Editor, and Zhou, Xiao-Nong, editor

Published
2022
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38. Summer marine heatwaves in the South China Sea: Trend, variability and possible causes

Author

Hong-Jian Tan, Rong-Shuo Cai, and Ren-Guang Wu

Subjects
Marine heatwaves, South China Sea, El niño, Northwestern pacific anticyclone, Meteorology. Climatology, QC851-999, Social sciences (General), H1-99
Abstract

Marine heatwaves (MHWs) have been frequently observed worldwide, causing devastating impacts on marine organisms and ecosystems, but the trend of MHWs is still unclear in the South China Sea (SCS). Here, the long-term trend and inter-annual variability of the summer SCS MHW events are investigated based on the high-resolution daily satellite data. The results revealed remarkable increases in the duration, intensity, coverage, and severity during 1982–2019, indicating that the SCS MHW events have become more frequent, intense, extensive, and serious. The probability ratio of SCS MHW events is four times during the 2010s of that during the 1980s. The increasing trend can be largely attributed to the long-term increase in the mean SCS temperature. The inter-annual variability of the SCS MHWs is linked closely to the El Niño and Southern Oscillation, with more/less MHW events occurring during the following summer after the El Niño/La Niña events. A diagnosis of synoptic-scale heat budget suggests that the extreme SCS warming can be explained by the combined effects of positive surface heat flux largely due to the enhanced shortwave radiation and convergence of oceanic advection in association with an anomalous upper-ocean anticyclone. The effect of surface heat flux seems to be predominant over the large spatial coverage, whereas oceanic heat transport is also important in some specific regions. The large-scale anticyclonic circulation anomalies over the northwestern Pacific accompanying the westward-extending western Pacific subtropical high during the El Niño decay summers play an essential role in the building-up and persistence of the extreme warming, which has important implications for the prediction of the SCS MHWs.

Published
2022
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45. Unveiling fungi associated with Castanopsis woody litter in Yunnan Province, China: Insights into Pleosporales (Dothideomycetes) species.

Author

Ren, Guang-Cong, Tibpromma, Saowaluck, Dong, Kai-Xuan, Gao, Chen-Xi, Zhang, Chao-Shan, Karunarathna, Samantha C., Elgorban, Abdallah M., and Gui, Heng

Subjects
*SPECIES, *FUNGI, *MICROFUNGI, *PROVINCES, *TWIGS
Abstract

During a survey of the diversity of lignicolous fungi in Yunnan Province, China, we collected and identified five microfungi species from dead woody litters of Castanopsis trees in terrestrial habitats. Through both morphological comparisons and phylogenetic analyses of multi-gene sequences, we identified two taxa as new species and three collections as new host records within Pleosporales. Pseudolophiostoma lincangense sp. nov. is introduced as a sexual morph in Lophiostomataceae, Pleopunctum baoshanense sp. nov. is introduced as a hyphomycetous fungi in Phaeoseptaceae, and Paraphoma aquatica as a first report of sexual morph in Paraphoma. In addition, Occultibambusa kunmingensis and Pleopunctum megalosporum were isolated for the first time from the dead twigs of Castanopsis delavayi and C. calathiformis, respectively. Comprehensive morphological descriptions, illustrations, and phylogenetic analysis results are provided for the above-mentioned species. [ABSTRACT FROM AUTHOR]

Published
2024
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46. What is a Fog Node A Tutorial on Current Concepts towards a Common Definition

Author

Tordera, Eva Marin, Masip-Bruin, Xavi, Garcia-Alminana, Jordi, Jukan, Admela, Ren, Guang-Jie, Zhu, Jiafeng, and Farre, Josep

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Fog computing has emerged as a promising technology that can bring the cloud applications closer to the physical IoT devices at the network edge. While it is widely known what cloud computing is, and how data centers can build the cloud infrastructure and how applications can make use of this infrastructure, there is no common picture on what fog computing and a fog node, as its main building block, really is. One of the first attempts to define a fog node was made by Cisco, qualifying a fog computing system as a mini-cloud, located at the edge of the network and implemented through a variety of edge devices, interconnected by a variety, mostly wireless, communication technologies. Thus, a fog node would be the infrastructure implementing the said mini-cloud. Other proposals have their own definition of what a fog node is, usually in relation to a specific edge device, a specific use case or an application. In this paper, we first survey the state of the art in technologies for fog computing nodes as building blocks of fog computing, paying special attention to the contributions that analyze the role edge devices play in the fog node definition. We summarize and compare the concepts, lessons learned from their implementation, and show how a conceptual framework is emerging towards a unifying fog node definition. We focus on core functionalities of a fog node as well as in the accompanying opportunities and challenges towards their practical realization in the near future.

Published
2016

47. Fungal diversity notes 1387–1511: taxonomic and phylogenetic contributions on genera and species of fungal taxa

Author

Boonmee, Saranyaphat, Wanasinghe, Dhanushka N., Calabon, Mark S., Huanraluek, Naruemon, Chandrasiri, Sajini K. U., Jones, Gareth E. B., Rossi, Walter, Leonardi, Marco, Singh, Sanjay K., Rana, Shiwali, Singh, Paras N., Maurya, Deepak K., Lagashetti, Ajay C., Choudhary, Deepika, Dai, Yu-Cheng, Zhao, Chang-Lin, Mu, Yan-Hong, Yuan, Hai-Sheng, He, Shuang-Hui, Phookamsak, Rungtiwa, Jiang, Hong-Bo, Martín, María P., Dueñas, Margarita, Telleria, M. Teresa, Kałucka, Izabela L., Jagodziński, Andrzej M., Liimatainen, Kare, Pereira, Diana S., Phillips, Alan J. L., Suwannarach, Nakarin, Kumla, Jaturong, Khuna, Surapong, Lumyong, Saisamorn, Potter, Tarynn B., Shivas, Roger G., Sparks, Adam H., Vaghefi, Niloofar, Abdel-Wahab, Mohamed A., Abdel-Aziz, Faten A., Li, Guo-Jie, Lin, Wen-Fei, Singh, Upendra, Bhatt, Rajendra P., Lee, Hyang Burm, Nguyen, Thuong T. T., Kirk, Paul M., Dutta, Arun Kumar, Acharya, Krishnendu, Sarma, V. Venkateswara, Niranjan, M., Rajeshkumar, Kunhiraman C., Ashtekar, Nikhil, Lad, Sneha, Wijayawardene, Nalin N., Bhat, Darbe J., Xu, Rong-Ju, Wijesinghe, Subodini N., Shen, Hong-Wei, Luo, Zong-Long, Zhang, Jing-Yi, Sysouphanthong, Phongeun, Thongklang, Naritsada, Bao, Dan-Feng, Aluthmuhandiram, Janith V. S., Abdollahzadeh, Jafar, Javadi, Alireza, Dovana, Francesco, Usman, Muhammad, Khalid, Abdul Nasir, Dissanayake, Asha J., Telagathoti, Anusha, Probst, Maraike, Peintner, Ursula, Garrido-Benavent, Isaac, Bóna, Lilla, Merényi, Zsolt, Boros, Lajos, Zoltán, Bratek, Stielow, J. Benjamin, Jiang, Ning, Tian, Cheng-Ming, Shams, Esmaeil, Dehghanizadeh, Farzaneh, Pordel, Adel, Javan-Nikkhah, Mohammad, Denchev, Teodor T., Denchev, Cvetomir M., Kemler, Martin, Begerow, Dominik, Deng, Chun-Ying, Harrower, Emma, Bozorov, Tohir, Kholmuradova, Tutigul, Gafforov, Yusufjon, Abdurazakov, Aziz, Xu, Jian-Chu, Mortimer, Peter E., Ren, Guang-Cong, Jeewon, Rajesh, Maharachchikumbura, Sajeewa S. N., Phukhamsakda, Chayanard, Mapook, Ausana, and Hyde, Kevin D.

Published
2021
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48. Effect of spray drying on the functional properties of egg yolk powder

Author

ANG Yuan, DUAN Xu, CAO Wei-wei, REN Guang-yue, WANG Zhe, and LI Lin-lin

Subjects
immunoglobulin of yolk, egg yolk powder, spray drying, antibody, Food processing and manufacture, TP368-456
Abstract

Objective: This study aimed to develop the application of egg yolk powder in the field of feed, functional food and biopharmaceuticals. Methods: Using fresh eggs as raw materials, yolk powder was prepared by spray drying, and the effects of different parameters on the content of yolk antibody (IgY), protein structure and functional properties of egg yolk powder were analyzed. Results: Considering the antibody content, physicochemical properties and functional properties of egg yolk powder comprehensively, when the inlet air temperature was 140 ℃ and the feed flow rate was 600 mL/h, the IgY content of egg yolk powder was 17.71 mg/g, and the solubility was 61.97% respectively. The powdery rate and water content was 36.46% and 3.8% respectively, and the surface hydrophobicity, water holding capacity and oil holding capacity was 106.67 μg, 3.63 g/g and 3.03 g/g respectively. The emulsifying property was 27.15%, and the emulsifying stability was 24.48%. The overall quality isoptimum. Conclusion: Changing the spray drying parameters can keep the structure of egg yolk powder intact and improve the physicochemical and functional properties of egg yolk powder, as well as ensure the high IgY content.

Published
2022
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