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A survey on causal inference for recommendation

The Innovation 2024年第2期5卷 130-144页

作者： Huishi Luo Fuzhen Zhuang Ruobing Xie Hengshu Zhu Deqing Wang zhulin an Yongjun Xu Institute of Artificial Intelligence Beihang UniversityBeijing 100191China Zhongguancun Laboratory Beijing 100094China WeChat Search Application Department TencentBeijing 100080China The Career Science Laboratory BOSS ZhipinBeijing 100028China SKLSDE School of Computer ScienceBeihang UniversityBeijing 100191China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China

Causal inference has recently garnered significant interest among recommender system(RS)researchers due to its ability to dissect cause-and-effect relationships and its broad applicability across multiple fields.It offers a framework to model the causality in RSs such as confounding effects and deal with counterfactual problems such as offline policy evaluation and data augmentation.Although there are already some valuable surveys on causal recommendations,they typically classify approaches based on the practical issues faced in RS,a classification that may disperse and fragment the uni-fied causal theories.Considering RS researchers’unfamiliarity with causality,it is necessary yet challenging to comprehensively review relevant studies from a coherent causal theoretical perspective,thereby facilitating a deeper integration of causal inference in RS.This survey provides a systematic review of up-to-date papers in this area from a causal theory standpoint and traces the evolutionary development of RS methods within the same causal strategy.First,we introduce the fundamental concepts of causal inference as the basis of the following review.Subsequently,we propose a novel theory-driven taxonomy,categorizing existing methods based on the causal theory employed,namely those based on the potential outcome framework,the structural causal model,and general counterfactuals.The review then delves into the technical details of how existing methods apply causal inference to address particular recommender issues.Finally,we highlight some promising directions for future research in this field.Representative papers and open-source resources will be progressively available at https://***/Chrissie-Law/Causal-Inference-forRecommendation.

关键词： survey details causal

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Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction for industrial domain

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Frontiers of Engineering Management 2024年第1期11卷 143-158页

作者： zhulin HAN Jian WANG College of Electronic and Information Engineering Tongji UniversityShanghai 200092China

With the escalating complexity in production scenarios, vast amounts of production information are retained within enterprises in the industrial domain. Probing questions of how to meticulously excavate value from complex document information and establish coherent information links arise. In this work, we present a framework for knowledge graph construction in the industrial domain, predicated on knowledge-enhanced document-level entity and relation extraction. This approach alleviates the shortage of annotated data in the industrial domain and models the interplay of industrial documents. To augment the accuracy of named entity recognition, domain-specific knowledge is incorporated into the initialization of the word embedding matrix within the bidirectional long short-term memory conditional random field (BiLSTM-CRF) framework. For relation extraction, this paper introduces the knowledge-enhanced graph inference (KEGI) network, a pioneering method designed for long paragraphs in the industrial domain. This method discerns intricate interactions among entities by constructing a document graph and innovatively integrates knowledge representation into both node construction and path inference through TransR. On the application stratum, BiLSTM-CRF and KEGI are utilized to craft a knowledge graph from a knowledge representation model and Chinese fault reports for a steel production line, specifically SPOnto and SPFRDoc. The F1 value for entity and relation extraction has been enhanced by 2% to 6%. The quality of the extracted knowledge graph complies with the requirements of real-world production environment applications. The results demonstrate that KEGI can profoundly delve into production reports, extracting a wealth of knowledge and patterns, thereby providing a comprehensive solution for production management.

关键词： knowledge graph construction industrial BiLSTM-CRF document-level relation extraction graph inference

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Experimental investigation on the gravity driven discharge of cohesive particles from a silo with two outlets

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Particuology 2024年第6期89卷 11-21页

作者： Li Dai zhulin Yuan Fengxian Fan Conghui Gu School of Energy and Power Engineering University of Shanghai for Science and TechnologyShanghai 200093China Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and EnvironmentSoutheast UniversityNanjing 210096China Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Energy and Power Jiangsu University of Science and TechnologyZhenjiang 212100China

An experimental study on the gravity driven discharge of cohesive particles from a silo with two outlets was performed.The discharge behaviors under the conditions that a single outlet was open and two outlets were open were investigated by varying the moisture content of the particles and the filling height of the particles in the silo.The results show that the discharge rate of the cohesive particles increases gradually at the beginning,then almost keeps constant,and finally drops obviously.The discharge rate in case of two openings is around 1.1–1.6 times that in case of a single opening.Larger filling height leads to lower discharge rate in case of a single opening but results in higher discharge rate in case of two openings.Furthermore,the avalanche dynamics in case of a single opening was examined,and the mixing behavior of the cohesive particles was evaluated.It is observed that the discharge flow is promoted by the avalanche phenomenon in the silo,generating a general trend that the normalized mass of discharge increases with the filling height at higher moisture contents.In case of a single opening,the transition from mass flow to funnel flow favors the particle mixing,resulting in an increasing mixing index as the moisture content increases.In general,a better performance of mixing can be achieved in case of a single opening compared with in case of two openings.This study provides vital information for fundamental understanding of the gravity driven discharge of cohesive particles from the silo with multiple outlets.

关键词： Cohesive particles Moisture content Discharge rate Avalanche Mixing

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Edaravone-loaded poly(amino acid) nanogel inhibits ferroptosis for neuroprotection in cerebral ischemia injury

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Asian Journal of Pharmaceutical Sciences 2024年第2期19卷 89-101页

作者： Yunhan Zhang zhulin Zou Shuang Liu Fangfang Chen Minglu Li Haoyang Zou Haiyan Liu Jianxun Ding Key Laboratory of Pathobiology Ministry of Education Department of AnatomyCollege of Basic Medical SciencesJilin UniversityChangchun 130061China Key Laboratory of Polymer Ecomaterials Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China Department of Gastrointestinal Colorectaland Anal SurgeryChina-Japan Union Hospital of Jilin UniversityChangchun 130033China

Neurological injury caused by ischemic stroke is a major cause of permanent disability and death. The currently available neuroprotective drugs fail to achieve desired therapeutic efficacy mainly due to short circulation half-life and poor blood−brain barrier (BBB) permeability. For that, an edaravone-loaded pH/glutathione (pH/GSH) dual-responsive poly(amino acid) nanogel (NG/EDA) was developed to improve the neuroprotection of EDA. The nanogel was triggered by acidic and EDA-induced high-level GSH microenvironments, which enabled the selective and sustained release of EDA at the site of ischemic injury. NG/EDA exhibited a uniform sub-spherical morphology with a mean hydrodynamic diameter of 112.3 ± 8.2 nm. NG/EDA efficiently accumulated at the cerebral ischemic injury site of permanent middle cerebral artery occlusion (pMCAO) mice, showing an efficient BBB crossing feature. Notably, NG/EDA with 50 µM EDA significantly increased neuron survival (29.3%) following oxygen and glucose deprivation by inhibiting ferroptosis. In addition, administering NG/EDA for 7 d significantly reduced infarct volume to 22.2% ± 7.2% and decreased neurobehavioral scores from 9.0 ± 0.6 to 2.0 ± 0.8. Such a pH/GSH dual-responsive nanoplatform might provide a unique and promising modality for neuroprotection in ischemic stroke and other central nervous system diseases.

关键词： Poly(amino acid)nanogel Controlled drug delivery Inhibition of ferroptosis Neuroprotection Cerebral ischenia injury therapy

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Numerical analysis on the transport properties and residence time distribution of ribbon biomass particles in a riser reactor based on CFD-DEM approach

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Particuology 2024年第4期87卷 133-146页

作者： Haichao Zhao Conghui Gu Bingyang Xu Yuan Liu Mingpu Du Kaiyuan Deng Jingyu Zhu Iana Voronina zhulin Yuan School of Energy and Power Jiangsu University of Science and TechnologyZhenjiang212100China China Tobacco Jiangxi Industrial Co.Ltd. Nanchang330096China Institute of Mechanics and Power Engineering Ogarev Mordovia State UniversitySaransk430005Russia Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and EnvironmentSoutheast UniversityNanjing210096China

A bended ribbon biomass particle model was developed to explore the dynamic transport properties inside a riser reactor.Residence time distribution(RTD)of the particles was analyzed by using the Eulerian-Lagrange method.The effects of sampling height,particle density,particle size and gas-to-solid mass ratio on RTD were investigated.The coupled Computational Fluid Dynamics and Discrete Element Method(CFD-DEM)model was verified firstly by experimental data on pressure drop and residence time distribution density function.The simulation results demonstrated that the ribbon biomass particles display a typical annular-core spatial distribution during transportation.The RTD of particles exhibit an approximate single-peaked normal distribution.The mean residence time(MRT)can reach up to 0.7 s when the particle density is 1200 kg/m^(3).Particle with higher density has longer mean residence time.The flow patterns are closer to plug flow if particle length over 12 mm.The particle flow pattern is not sensitive to changes in particle density and size,while the gas-to-material mass ratio has a significant impact on it.

关键词： Riser Gas-solids two-phase flow Ribbon biomass particles Residence time distribution CFD-DEM

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Artificial intelligence for science-bridging data to wisdom

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The Innovation 2023年第6期4卷 21-22页

作者： Yongjun Xu Fei Wang zhulin an Qi Wang Zhao Zhang Institute of Computing Technology Chinese Academy of SciencesBejjing 100190China

INTRODUCTION.Throughout the scientific discoveries of human history,research paradigms have undergone profound changes.'As shown in Figure 1,from the empirical paradigm,which relies on experimental observation,to the theoretical paradigm,which is based on theoretical deduction,and further to the computational para-digm,which is associated with simulation and emulation,and finally to the data-driven paradigm,which is grounded in human-machine object integration,every transformation of scientific paradigm has brought about a major leap in science and technology.

关键词： technology. Figure bridging

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重写《异秉》与改革开放初期的“致富”想象

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当代作家评论 2024年第3期 64-69页

作者：张柱林广西民族大学文学院

汪曾祺在1970年代末重新走上小说创作道路时,一开始写的《骑兵列传》《塞下人物传》《黄油烙饼》等小说,都是反映新中国的各类人物命运,或所谓极左路线对人民生活的危害,与当时的主流思潮如“伤痕文学”并无二致。但他很快就改弦易辙,... 详细信息

汪曾祺在1970年代末重新走上小说创作道路时,一开始写的《骑兵列传》《塞下人物传》《黄油烙饼》等小说,都是反映新中国的各类人物命运,或所谓极左路线对人民生活的危害,与当时的主流思潮如“伤痕文学”并无二致。但他很快就改弦易辙,回头写起旧时代的生活,并获得巨大的成功,声名鹊起。一般的文学史著述在介绍汪曾祺时,提及的作品主要是《受戒》和《大淖记事》,特别是前者受到更多关注,论者也就常常由此归纳出作家的创作主题和风格特征。

关键词：汪曾祺《受戒》《大淖记事》创作主题人物命运伤痕文学极左路线改革开放初期

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广西国有六万林场油茶种植及病虫害防治技术

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南方农业 2024年第2期18卷 243-245页

作者：龙柱林广西壮族自治区国有六万林场广西玉林537000

油茶属于经济型树种,在各地区经济发展中发挥着重要作用,已被广泛种植于我国南方地区。为提升油茶种植产量及品质,基于广西国有六万林场油茶产业情况,分析包括选地与整地、品种选择、种植与补植、抚育管理等内容的油茶种植技术与病虫害... 详细信息

油茶属于经济型树种,在各地区经济发展中发挥着重要作用,已被广泛种植于我国南方地区。为提升油茶种植产量及品质,基于广西国有六万林场油茶产业情况,分析包括选地与整地、品种选择、种植与补植、抚育管理等内容的油茶种植技术与病虫害防治技术。

关键词：油茶种植病虫害防治广西国有六万林场

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梁启超的“涉日”阅读史与“新文体”的生成

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写作 2024年第3期44卷 30-41页

作者：石珠林暨南大学文学院

书面语言范式及文体变革,在近代中国文学转型中具有标志性意义。在这一过程中,处于时代舞台中央的梁启超及其文学实践具有开风气之先的历史性意义。梁氏“流质多变”的转型期文化品格,与其不断“遭遇”新知识、新思想、新文化相关。在... 详细信息

书面语言范式及文体变革,在近代中国文学转型中具有标志性意义。在这一过程中,处于时代舞台中央的梁启超及其文学实践具有开风气之先的历史性意义。梁氏“流质多变”的转型期文化品格,与其不断“遭遇”新知识、新思想、新文化相关。在“西学东渐”的时代背景下,梁氏广泛阅读古今中西各种典籍,并通过报章宣传实践,“更新”着既定的文体。梁启超的“新文体”与他阅读与日本相关的书籍,特别是戊戌东渡旅日期间阅读日本书籍的启发以及相关的模仿实践有着莫大联系。新文体关联着“知识”,而又在“情感”层面别具魔力,而它的消亡,亦来自这种特点本身。在近代中日“文”之传统演变的进程中理解“新文体”,可以管窥由“改良文言”到“改良白话”的历史进程。

关键词：梁启超 “涉日”阅读史 “新文体” 文体革新文章传统

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用好专业社会工作“金钥匙”开启“一小一老”幸福之门

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社会与公益 2024年第1期 49-51页

作者：王竹琳青岛市市南区民政局

青岛市市南区地处政治、经济、文化核心区域,区内60岁及以上人口占比高达25.92%,困境儿童人数较多,“一小一老”的获得感、幸福感直接决定了城区的幸福和谐指数。近年来,市南区民政局扎实落实民政部“为民解忧办实事”,对标省民政厅“... 详细信息

青岛市市南区地处政治、经济、文化核心区域,区内60岁及以上人口占比高达25.92%,困境儿童人数较多,“一小一老”的获得感、幸福感直接决定了城区的幸福和谐指数。近年来,市南区民政局扎实落实民政部“为民解忧办实事”,对标省民政厅“六个民政”,以专业社会工作解锁“一小一老”服务难题,逐步形成“体制化推进、专业化引领、品牌化发展”的市南路径,奋力书写“幼有优养、弱有众扶、老有颐养、民政爱民”的市南答卷。

关键词：困境儿童市南区专业社会工作品牌化发展民政金钥匙幸福感体制化

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