學術文獻🕵🏼♂️：研究前沿
研究前沿為研究領域內最新文獻；
01 資源與環境工程學院
1. Waste reclamation from municipal solid waste for the cost-efficient treatment of landfill leachate with a novel biological trickle reactor system
Abstracts：Mature landfill leachate (MLL) would be a tough nut to crack, how to realize waste reclamation while deal with the intractable by-products deserves for more considerations. In this study, a novel system, equipped with two biological trickle reactors developed by inert wastes and a connected organic feeder using waste-recycling rotten banana powder, was established for treating MLL. Results indicated that superior pollutant removal performance and long-term stabil-ity were achieved by this system, with only COD and TN concentrations slightly higher than the relevant standard limits. But the shortage about poor resistance to shock pollution loads, was underlined by the fluctuation of water qual-ity. Anaerobic condition and carbon source supplementation contributed to more microbial similarities but less com-munity richness and diversity among inert fillings, and the selective enrichment of denitrification and organic-degrading strains simultaneously occurred. The comparisons with common processes demonstrated that this system was a cost-efficient choice for MLL treatment🛌🏻。
詳情頁網址🌀：
https://www.webofscience.com/wos/woscc/full-record/WOS:000913669000001
2. Spatial and temporal variation of vegetation cover in the main mining area of Qibaoshan Town, China: Potential impacts from mining damage, solid waste discharge and land reclamation
Abstracts👨🏿🦳：The increasing frequency of mining activities in the world has led to many environmental pollution problems, such as mine wastewater discharge, mine solid waste dumps, and mine dust dispersion. These problems have negative implications for the environment and the public health of people living nearby the mining areas. Despite this, there are few methods to determine the state of mine pollution on a regional scale. Therefore, we applied remote sensing technologies to assess the mine pollution situation, especially the mine solid waste pollution, of a mining area, taking Qibaoshan Town, Liuyang City, Hunan Province, China, as an example. In our research, we have calculated the vegetation cover change of the Qibaoshan Town over the years (2000-2020), charted the vegetation coverage grade maps, and analysed the tendency of vegetation cover changes, to infer the mine pollution situation, the progress of pollution treatment and the efforts made by the local government and the mines on mine pollution disposal and the land reclamation. Additionally, mining damage can bring about geological hazards such as surface subsidence leading to vegetation destruction, while mining solid waste pollution and discharge can occupy a large amount of land and thus lead to vegetation reduction. As a result, this method of calculating FVC changes in a mining area is particularly suitable for assessing the extent of mining damage, the status of solid waste pollution and discharge, and the progress of land reclamation. In the abstract, we claim that this short communication article serves as a guide to start a conversation, and encourages experts and scholars to engage in this area of research.
詳情頁網址🤧🧑🎓：https://www.webofscience.com/wos/woscc/full-record/WOS:000898826700013
3.Remediation of chromium-contaminated soil in semi-arid areas by combined chemical reduction and stabilization
Abstracts：The indoor simulation remediation of chromium-contaminated soil in semi-arid areas with chemical reduction-stabilization method was conducted to study the effects of remediation agent types and dosage, water (mL)-soil (g) ratio and remediation time on reduction and stabilization efficiency of the chromium-contaminated soil. The results showed that FeSO4 was the most effective reduction agent for reduction of Cr(VI) in soil. The optimally combined chemical reduction-stabilization remediation conditions were 2.5 times theoretical reaction dosage FeSO4 and 8% of modified corn stover biochar (KBC), 50% of water-soil ratio, and 7 days remediation time. The total Cr and Cr(VI) leaching concentrations and Cr(VI) content in soil were reduced from 65.65 mg L-1, 61.98 mg L-1 and 1000.00 mg kg-1 without treatment to 0.114 mg L-1, 0.125 mg L-1 and 18.909 mg kg-1 after treatment, respectively. They were according with comprehensive wastewater discharge standards and construction land soil contamination risk control standards, respectively.
詳情頁網址🧑🏻🍼♻：https://www.webofscience.com/wos/woscc/full-record/WOS:000902420600001
4.Formulating Zwitterionic, Responsive Polymers for Designing Smart Soils
Abstracts🛴：The design of new remediation strategies and materials for treating saline-alkaline soils is of fundamental and practical importantance for many applications. Conventional soil remediation strategies mainly focus on the development of fertilizers or additives for water, nutrient, and heavy metal managements in soils, but they often overlook a soil sensing function for early detection of salinization/alkalization levels toward optimal and timely soil remediation. Here, new smart soils, structurally consisting of the upper signal soil and the bottom hygroscopic bed and chemically including zwitterionic, thermo-responsive poly(NIPAM-co-VPES) and poly(NIPAM-co-SBAA) aerogels in each soil layer are formulated. Upon salinization, the resultant smart soils exhibit multiple superior capacities for reducing the soil salinity and alkalinity through ion exchange, controlling the water cycling, modulating the degradation of pyridine-base ligands into water-soluble, nitrogenous salts-rich ingredients for soil fertility, and real-time monitoring salinized soils via pH-induced allochroic color changes. Further studies of plant growth in smart soils with or without salinization treatments confirm a synergy effect of soil remediation and soil sensing on facilitating the growth of plants and increasing the saline-alkaline tolerance of plants. The esign concept of smart soils can be further expanded for soil remediation and assessment.
詳情頁網址🦾：https://www.webofscience.com/wos/woscc/full-record/WOS:000842840100001
02 能源與材料學院：材料科學近10年高被引論文（前10）
1.Electronics and optoelectronics of two-dimensional transition metal dichalcogenides
Abstracts🈚️：The remarkable properties of graphene have renewed interest in inorganic, two-dimensional materials with unique electronic and optical attributes. Transition metal dichalcogenides (TMDCs) are layered materials with strong in-plane bonding and weak out-of-plane interactions enabling exfoliation into two-dimensional layers of single unit cell thickness. Although TMDCs have been studied for decades, recent advances in nanoscale materials characterization and device fabrication have opened up new opportunities for two-dimensional layers of thin TMDCs in nanoelectronics and optoelectronics. TMDCs such as MoS2, MoSe2, WS2 and WSe2 have sizable bandgaps that change from indirect to direct in single layers, allowing applications such as transistors, photodetectors and electroluminescent devices. We review the historical development of TMDCs, methods for preparing atomically thin layers, their electronic and optical properties, and prospects for future advances in electronics and optoelectronics.
2.Li-O-2 and Li-S batteries with high energy storage
摘要：Li-ion batteries have transformed portable electronics and will play a key role in the electrification of transport. However, the highest energy storage possible for Li-ion batteries is insufficient for the long-term needs of society, for example, extended-range electric vehicles. To go beyond the horizon of Li-ion batteries is a formidable challenge; there are few options. Here we consider two: Li-air (O-2) and Li-S. The energy that can be stored in Li-air (based on aqueous or non-aqueous electrolytes) and Li-S cells is compared with Li-ion; the operation of the cells is discussed, as are the significant hurdles that will have to be overcome if such batteries are to succeed. Fundamental scientific advances in understanding the reactions occurring in the cells as well as new materials are key to overcoming these obstacles. The potential benefits of Li-air and Li-S justify the continued research effort that will be needed.
3.Lead Iodide Perovskite Sensitized All-Solid-State Submicron Thin Film Mesoscopic Solar Cell with Efficiency Exceeding 9%
摘要：We report on solid-state mesoscopic heterojunction solar cells employing nanoparticles (NPs) of methyl ammonium lead iodide (CH3NH3)PbI3 as light harvesters. The perovskite NPs were produced by reaction of methylammonium iodide with PbI2 and deposited onto a submicron-thick mesoscopic TiO2 film, whose pores were infiltrated with the hole-conductor spiro-MeOTAD. Illumination with standard AM-1.5 sunlight generated large photocurrents (J(SC)) exceeding 17 mA/cm(2), an open circuit photovoltage (V-OC) of 0.888 V and a fill factor (FF) of 0.62 yielding a power conversion efficiency (PCE) of 9.7%, the highest reported to date for such cells. Femto second laser studies combined with photo-induced absorption measurements showed charge separation to proceed via hole injection from the excited (CH3NH3)PbI3 NPs into the spiro-MeOTAD followed by electron transfer to the mesoscopic TiO2 film. The use of a solid hole conductor dramatically improved the device stability compared to (CH3NH3)PbI3 -sensitized liquid junction cells.
4.Black phosphorus field-effect transistors
摘要🧘：Two-dimensional crystals have emerged as a class of materials that may impact future electronic technologies. Experimentally identifying and characterizing new functional two-dimensional materials is challenging, but also potentially rewarding. Here, we fabricate field-effect transistors based on few-layer black phosphorus crystals with thickness down to a few nanometres. Reliable transistor performance is achieved at room temperature in samples thinner than 7.5 nm, with drain current modulation on the order of 10(5) and well-developed current saturation in the I-V characteristics. The charge-carrier mobility is found to be thickness-dependent, with the highest values up to similar to 1,000 cm(2) V-1 s(-1) obtained for a thickness of similar to 10nm. Our results demonstrate the potential of black phosphorus thin crystals as a new two-dimensional material for applications in nanoelectronic devices.
5. Phonon coherences reveal the polaronic character of excitons in two-dimensional lead halide perovskites
摘要：Hybrid organic-inorganic semiconductors feature complex lattice dynamics due to the ionic character of the crystal and the softness arising from non-covalent bonds between molecular moieties and the inorganic network. Here we establish that such dynamic structural complexity in a prototypical two-dimensional lead iodide perovskite gives rise to the coexistence of diverse excitonic resonances, each with a distinct degree of polaronic character. By means of high-resolution resonant impulsive stimulated Raman spectroscopy, we identify vibrational wavepacket dynamics that evolve along different configurational coordinates for distinct excitons and photocarriers. Employing density functional theory calculations, we assign the observed coherent vibrational modes to various low-frequency (less than or similar to 50 cm(-1)) optical phonons involving motion in the lead iodide layers. We thus conclude that different excitons induce specific lattice reorganizations, which are signatures of polaronic binding. This insight into the energetic/configurational landscape involving globally neutral primary photoexcitations may be relevant to a broader class of emerging hybrid semiconductor materials.
6.Long-Range Balanced Electron- and Hole-Transport Lengths in Organic-Inorganic CH3NH3PbI3
摘要：Low-temperature solution-processed photovoltaics suffer from low efficiencies because of poor exciton or electron-hole diffusion lengths (typically about 10 nanometers). Recent reports of highly efficient CH3NH3PbI3-based solar cells in a broad range of configurations raise a compelling case for understanding the fundamental photophysical mechanisms in these materials. By applying femtosecond transient optical spectroscopy to bilayers that interface this perovskite with either selective-electron or selective-hole extraction materials, we have uncovered concrete evidence of balanced long-range electron-hole diffusion lengths of at least 100 nanometers in solution-processed CH3NH3PbI3. The high photoconversion efficiencies of these systems stem from the comparable optical absorption length and charge-carrier diffusion lengths, transcending the traditional constraints of solution-processed semiconductors.
7.Nanocrystals of Cesium Lead Halide Perovskites (CsPbX3, X = Cl, Br, and I): Novel Optoelectronic Materials Showing Bright Emission with Wide Color Gamut
摘要➝：Metal halides perovskites, such as hybrid organic-inorganic CH3NH3PbI3, are newcomer optoelectronic materials that have attracted enormous attention as solution-deposited absorbing layers in solar cells with power conversion efficiencies reaching 20%. Herein we demonstrate a new avenue for halide perovskites by designing highly luminescent perovskite-based colloidal quantum dot materials. We have synthesized monodisperse colloidal nanocubes (4-15 nm edge lengths) of fully inorganic cesium lead halide perovskites (CsPbX3, X = Cl, Br, and I or mixed halide systems Cl/Br and Br/I) using inexpensive commercial precursors. Through compositional modulations and quantum size-effects, the bandgap energies and emission spectra are readily tunable over the entire visible spectral region of 410-700 nm. The photoluminescence of CsPbX3 nanocrystals is characterized by narrow emission line-widths of 12-42 nm, wide color gamut covering up to 140% of the NTSC color standard, high quantum yields of up to 90%, and radiative lifetimes in the range of 1-29 ns. The compelling combination of enhanced optical properties and chemical robustness makes CsPbX3 nanocrystals appealing for optoelectronic applications, particularly for blue and green spectral regions (410-530 nm), where typical metal chalcogenide-based quantum dots suffer from photodegradation.
8. High-performance photovoltaic perovskite layers fabricated through intramolecular exchange
摘要：The band gap of formamidinium lead iodide (FAPbI(3)) perovskites allows broader absorption of the solar spectrum relative to conventional methylammonium lead iodide (MAPbI(3)). Because the optoelectronic properties of perovskite films are closely related to film quality, deposition of dense and uniform films is crucial for fabricating high-performance perovskite solar cells (PSCs). We report an approach for depositing high-quality FAPbI(3) films, involving FAPbI(3) crystallization by the direct intramolecular exchange of dimethylsulfoxide (DMSO) molecules intercalated in PbI2 with formamidinium iodide. This process produces FAPbI(3) films with (111)-preferred crystallographic orientation, large-grained dense microstructures, and flat surfaces without residual PbI2. Using films prepared by this technique, we fabricated FAPbI(3)-based PSCs with maximum power conversion efficiency greater than 20%
9.First principles phonon calculations in materials science
摘要：Phonon plays essential roles in dynamical behaviors and thermal properties, which are central topics in fundamental issues of materials science. The importance of first principles phonon calculations cannot be overly emphasized. Phonopy is an open source code for such calculations launched by the present authors, which has been world-widely used. Here we demonstrate phonon properties with fundamental equations and show examples how the phonon calculations are applied in materials science. (C) 2015 Acta Materialia Inc. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.orgilicenses/by/4.0/).
10.Phosphorene: An Unexplored 2D Semiconductor with a High Hole Mobility
摘要：We introduce the 2D counterpart of layered black phosphorus, which we call phosphorene, as an unexplored p-type semiconducting material. Same as graphene and MoS2, single-layer phosphorene is flexible and can be mechanically exfoliated. We find phosphorene to be stable and, unlike graphene, to have an inherent, direct, and appreciable band gap. Our ab initio calculations indicate that the band gap is direct, depends on the number of layers and the in-layer strain, and is significantly larger than the bulk value of 0.31-036 eV. The observed photoluminescence peak of single-layer phosphorene in the visible optical range confirms that the band gap is larger than that of the bulk system. Our transport studies indicate a hole mobility that reflects the structural anisotropy of phosphorene and complements n-type MoS2. At room temperature, our few-layer phosphorene field-effect transistors with 1.0 mu m channel length display a high on-current of 194 mA/mm, a high hole field-effect mobility of 286 cm(2) N.s, and an on/off ratio of up to 10(4). We demonstrate the possibility of phosphorene integration by constructing a 2D CMOS inverter consisting of phosphorene PMOS and MoS2 NMOS transistors.
03 智能製造與控製工程學院
1.Heterogeneous Network Access and Fusion in Smart Factory: A Survey
Abstracts：With the continuous expansion of the Industrial Internet of Things (IIoT) and the increasing connectivity among the various intelligent devices or systems, the control of access and fusion in smart factory networks has significantly gained importance. However, the contradiction between the high Quality of Service (QoS) requirements of massive data and the limited network bandwidth and the heterogeneous network is becoming deeper and deeper. The heterogeneity of smart factory networks brings many challenges to unified access and fusion, real-time transmission, and centralized control and management. This article provides a survey on heterogeneous networks in smart factories. We first study and discuss the heterogeneity of smart factory networks, and then discuss the existing mainstream wired and wireless network technologies, as well as promising future technologies, including 5G, OLE for Process Control Unified Architecture (OPC UA), and Time-Sensitive Networking (TSN). In addition, we also analyze current heterogeneous network fusion architecture and discuss the enabling technologies of heterogeneous network fusion in view of the shortcoming of the current solutions. Finally, we conclude with a discussion of open challenges and future research directions towards the effective realization of the smart factory.
詳情頁網址：https://www.webofscience.com/wos/woscc/full-record/WOS:000893245700005
2.Applying MAPE-K control loops for adaptive workflow management in smart factories
Abstracts：Monitoring the state of currently running processes and reacting to ad-hoc situations during runtime is a key challenge in Business Process Management (BPM). This is especially the case in cyber-physical environments that are characterized by high context sensitivity. MAPE-K control loops are widely used for self-management in these environments and describe four phases for approaching this challenge: Monitor, Analyze, Plan, and Execute. In this paper, we present an architectural solution as well as implementation proposals for using MAPE-K control loops for adaptive workflow management in smart factories. We use Complex Event Processing (CEP) techniques and the process execution states of a Workflow Management System (WfMS) in the monitoring phase. In addition, we apply automated planning techniques to resolve detected exceptional situations and to continue process execution. The experimental evaluation with a physical smart factory shows the potential of the developed approach that is able to detect failures by using IoT sensor data and to resolve them autonomously in near real time with considerable results.
詳情頁網址：https://www.webofscience.com/wos/woscc/full-record/WOS:000920607900001
3.Real-Time Charging Scheduling of Automated Guided Vehicles in Cyber-Physical Smart Factories Using Feature-Based Reinforcement Learning
Abstracts：In smart factories, a variety of automated guided vehicles (AGVs) communicate with cyber-physical systems (CPSs) to autonomously deliver raw materials and workpieces among smart production facilities. In practice, instead of acquiring more costly AGVs to cause congestion in existing working space, most factories develop rule-based and model-based approaches to improve the AGV utilization rate and further the production efficiency. However, these charging strategies require predefined rules or models for estimating the internal information of batteries, so that they lead to huge computational costs and estimation errors. As a consequence, this work creates a Markov decision process problem for real-time charging scheduling of AGVs to fulfill uncertain AGV dispatching requests from the CPS for production lines, in which four bounds for charging heterogeneous AGVs are considered from practical experiences for increasing the AGV utilization rate. This work further improves a feature-based reinforcement learning approach, in which the state and action space can be effectively reduced through approximating the state-value function by five feature functions, including the estimated revenue for improving the utilization time, the total AGV charging cost, the cost of penalizing unfulfilled dispatching requests, the priority of charging newer batteries, and the priority of charging the batteries close to be fully charged, respectively. Experimental results show that the proposed algorithm obtains better benefits than the current practical approach, and improves the AGV utilization rate.
詳情頁網址：https://www.webofscience.com/wos/woscc/full-record/WOS:000915760300001
04 計算機與信息工程學院
1.AUC Maximization in the Era of Big Data and AI: A Survey
Abstracts：Area under the ROC curve, a.k.a. AUC, is a measure of choice for assessing the performance of a classifier for imbalanced data. AUC maximization refers to a learning paradigm that learns a predictive model by directly maximizing its AUC score. It has been studied for more than two decades dating back to late 90s, and a huge amount of work has been devoted to AUC maximization since then. Recently, stochastic AUC maximization for big data and deep AUC maximization (DAM) for deep learning have received increasing attention and yielded dramatic impact for solving real-world problems. However, to the best our knowledge, there is no comprehensive survey of related works for AUC maximization. This article aims to address the gap by reviewing the literature in the past two decades. We not only give a holistic view of the literature but also present detailed explanations and comparisons of different papers from formulations to algorithms and theoretical guarantees. We also identify and discuss remaining and emerging issues for DAM and provide suggestions on topics for future work.
詳情頁網址：https://www.webofscience.com/wos/woscc/full-record/WOS:000905475300020
2.K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data
Abstracts：Advances in recent techniques for scientific data collection in the era of big data allow for the systematic accumulation of large quantities of data at various data-capturing sites. Similarly, exponential growth in the development of different data analysis approaches has been reported in the literature, amongst which the K-means algorithm remains the most popular and straightforward clustering algorithm. The broad applicability of the algo-rithm in many clustering application areas can be attributed to its implementation simplic-ity and low computational complexity. However, the K-means algorithm has many challenges that negatively affect its clustering performance. In the algorithm's initialization process, users must specify the number of clusters in a given dataset apriori while the ini-tial cluster centers are randomly selected. Furthermore, the algorithm's performance is susceptible to the selection of this initial cluster and for large datasets, determining the optimal number of clusters to start with becomes complex and is a very challenging task. Moreover, the random selection of the initial cluster centers sometimes results in minimal local convergence due to its greedy nature. A further limitation is that certain data object features are used in determining their similarity by using the Euclidean distance metric as a similarity measure, but this limits the algorithm's robustness in detecting other cluster shapes and poses a great challenge in detecting overlapping clusters. Many research efforts have been conducted and reported in literature with regard to improving the K-means algorithm's performance and robustness. The current work presents an overview and tax-onomy of the K-means clustering algorithm and its variants. The history of the K-means, current trends, open issues and challenges, and recommended future research perspectives are also discussed.(c) 2022 Elsevier Inc. All rights reserved.
詳情頁網址：https://www.webofscience.com/wos/woscc/full-record/WOS:000900752000012
3.Optimal design of electromagnetic metamaterial electronic device sensor with specific performance based on multivariate big data fusion
Abstracts：As the basic unit structure of electromagnetic metamaterial, the structure size of open resonant ring directly determines the constitutive parameters of SRR (dielectric constant epsilon and permeability mu). In order to improve the energy exchange efficiency of the electromagnetic acoustic transducer, the coil backplane of the electromagnetic ultrasonic shear wave sensor was optimized. First, the influence of the thickness of the coil backplane on the ultrasonic signal is studied by the experimental method, and then, the magnetic field distribution of the coil backplane is simulated by the finite element simulation software. Finally, the SNR and lift distance of the shear wave sensor before and after the coil backplane optimization are compared by experiments. In this article, a multi-hypothesis data fusion method in distributed detection system is proposed, which extends the multi-sensor data fusion rules to more general cases. The results show that the optimum thickness of the coil back plate in the electromagnetic ultrasonic transverse wave sensor is 1.5-2.0 mm. Using iron powder with the same length and width as the working area of the coil as the coil backplane can significantly increase the magnetic field strength in the working area of the sensor. Compared with the coil backplane made of non-magnetic materials, the optimized backplane can increase the signal-to-noise ratio of the sensor by about one time and the lift-off distance by about 1 mm.
詳情頁網址：https://www.webofscience.com/wos/woscc/full-record/WOS:000924803900001
05 經濟與管理學院
1. Circular supply chain management: a bibliometric analysis-based literature review
Abstracts⛹🏽♂️：Purpose - Supply chain management (SCM) research has contributed to the transition to a circular economy (CE). Still, confusions exist on the related terms, and no review has mapped out the development trends in the domain. This research clarifies the boundaries of the relevant concepts. Then, it conducts a comprehensive review of the circular SCM (CSCM) literature and identifies opportunities for future research.Design/methodology/approach - Using relevant keywords, 1,130 journal articles published in December 31, 2021 were identified. Unlike the published reviews, which mainly relied on content analysis, this review uses bibliometric analysis tools, including citation analysis, co-citation analysis and cluster analysis. The review identifies general trends, influential researchers, high-impact publications, citation patterns and established and emergent research themes.Findings - The extant CSCM literature includes five prominent clusters: (1) reverse channel optimization; (2) CSCM review and empirical studies; (3) closed-loop supply chain (CLSC) and consumers; (4) CLSC and inventory management and (5) CLSC and reverse logistics (RL). Significant research gaps exist in the use of secondary and longitudinal data, a wider range of theories, mixed-methods, multi-method, action research and behavioral experiment. The least researched topics include zero waste, industrial symbiosis, circular product design, sourcing and supply management and reuse.Originality/value - This is the first bibliometric analysis-based literature review on CSCM. It clarifies the interrelated supply chain sustainability terms and thus reduces related confusion. It offers insights into the patterns in the CSCM literature and suggests important research directions.Key words🧃：Dynamic capability; Logistics capability; Supply chain; Supply chain disruption; Supply chain resilience; Supply chain risk.
網址💅：https://www.webofscience.com/wos/woscc/full-record/WOS:000917282900001
2. Optimization Approaches for Multiple Conflicting Objectives in Sustainable Green Supply Chain Management
Abstracts🤘🏽：Over the years, the global supply chain has evolved into a more extensive interconnected complex network with multiple suppliers, manufacturers, and customers. Since environmental issues have become a burning question in recent years, the focus has shifted to attaining sustainability in supply chain management. The green supply chain or sustainable network is a concept to reduce environmental impacts in the life cycle of a product. However, green supply chain management is often challenged with additional operating costs and difficulty monitoring the implications within the complex network system. Additionally, many stakeholders are unaware of the importance of sustainability analysis, which eventually complicates adopting green cultures in actual applications. Since green supply chain management deals with multiple aspects, such as cost and carbon emission, the multiobjective optimization method is widely used to evaluate supply chain performance. This paper intensively reviews the state-of-the-art literature on applying multiobjective optimization techniques in green supply chain management. The study highlights aspects of green supply chain structures, model formulation techniques considering multiple objectives simultaneously, and solution methods for multiobjective optimization problems. Finally, a conclusion is drawn with the scope of the potential research opportunities for integrating economic and environmental considerations in sustainable supply chain management practice.
網址：https://www.webofscience.com/wos/woscc/full-record/WOS:000867397800001
06 高等職業技術（國際）學院
1.數字第一屏幕”與“算法分屏”——視聽流媒體的屏幕形式、機製與文化
摘要：本文以當前流媒體的屏幕形式為研究對象，從安妮·弗雷伯格的“虛擬視窗”理論入手，分析當前流媒體的屏幕形式、機製與媒介文化，探討屏幕的變化為電影生產👈🏽、美學與文化帶來哪些影響，以此回應“電影是窗”還是“電影是夢”的理論問題。
2.基於協同訓練與Boosting的協同過濾算法
摘要：協同過濾（CF）算法基於物品之間或用戶之間的相似度實現個性化推薦，然而數據稀疏性一直是CF面臨的挑戰之一。針對用戶-物品評分稀疏問題，為使預測更加準確，提出基於協同訓練與Boosting的協同過濾算法（CFCTB），所提算法利用協同訓練將兩種CF集成於一個框架，互相添加置信度高的偽標記樣本到對方的訓練集中，並利用Boosting加權訓練數據輔助協同訓練；其次🍺，采用加權集成進行最終的用戶評分預測💫，有效避免了偽標記樣本所產生的噪聲累加，進一步提高了推薦性能🧝🏻。在4個公開數據集上的實驗結果表明，所提算法的準確率優於單模型🧏🏼；在稀疏度最高的CiaoDVD數據集上，與全局局部核模型（GLocal-K）相比，所提算法的平均絕對誤差（MAE）提高了4.287%🍽；與EcoRec算法相比，所提算法的均方根誤差（RMSE）提高了6.807%，驗證了所提算法的有效性。
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3.雲環境條件下智能決策支持系統理論研究
摘要：隨著具有智能化特征的信息化戰爭形態的出現，軍事智能決策已發展成為能夠影響戰爭勝負的關鍵環節👩🏼🔬。在介紹基於專家系統和人工神經網絡的智能決策支持系統的基礎上，對二者的優缺點進行了對比分析，提出了在雲環境下，通過采取並行結構模式，將專家系統和人工神經網絡集成的智能決策支持系統🏊♀️，並對該新型決策支持系統的工作原理和推理過程進行了分析，為軍事智能決策支持系統的研究提供了一種新的思路和方法。
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4.基於自適應粒子群優化的WSNs非均勻分簇路由算法
摘要🫸🏼：針對無線傳感器網絡(WSNs)中存在的能量空洞問題📍，提出了一種基於自適應粒子群優化(PSO)的WSNs非均勻分簇路由(APSO-NUCR)算法↪️。在簇首選舉階段，引入一個能量閾值從網絡中篩選出候選簇首，候選簇首根據競爭半徑構造規模大小不一的簇🕒👩🌾。引入PSO算法來確定簇首，建立基於節點能量和位置的適應度函數，根據適應度值來確定最終簇首。根據粒子當前適應度值計算慣性權重和學習因子，更新速度和位置😚，平衡算法的全局和局部搜索能力。在數據傳輸階段，簇內采用單跳傳輸方式，簇間數據傳輸基於Prim最小生成樹的最優多跳路徑。仿真結果表明：APSO-NUCR算法在利用能量和均衡網絡能耗方面有良好的性能，延長了網絡壽命🧌。
詳情頁鏈接📋：
07 國際交流學院
1.漢語國際教育研究熱點主題分析與發展趨勢——基於CSSCI計量統計和知識圖譜分析
摘要：漢語國際教育是面向海外母語非漢語者的漢語教學🪷。它的發展既服務於國家大外交戰略🎥，亦是國家軟實力的重要體現🫏。作為一門新的學科，從發軔到發展都受到學界的關註和研究🍰，且成果頗豐🤟🏿🕵🏿♀️，為準確把握階段性研究動態和發展趨勢👩🎓，文章采用可視化分析軟件（CiteSpace）對CSSCI數據庫相關論文進行計量研究和知識圖譜分析，對近20年該領域研究演進路徑呈現3️⃣：初步發展期、快速發展期和緩慢回落期；研究熱點主題為以教學為意昂2、以孔子學院為研究重鎮⛲️、以文化軟實力為依托📕；研究結論是熱點主題多視角、研究成果來源機構和期刊相對集中，研究過程階段性波動；研究趨勢是跨學科和文化◽️、順應時代發展、加強國內外合作以及與新技術緊密結合等，以期為未來漢語國際教育研究提供思路和借鑒。
詳情頁鏈接🤱🏿：
2.對外漢語教學參考語法書系編撰的幾個理論問題
摘要：對外漢語教學參考語法書系是國家社會科學基金重大項目“對外漢語教學語法大綱研製和教學參考語法書系（多卷本）”的主要研究內容之一🕠。怎樣編撰好參考語法書系，可資參考的書和經驗較少🙆🏻♂️🫔，本文是書系編撰過程中的一些理論思考，主要討論以下幾個問題，即書系的編撰背景、編撰特點🈚️、編撰原則和編撰體例。這些理論思考直接保障了書系編撰的質量，有助於厘清許多存疑的問題和難以解決的問題👌🏻🪫。
詳情頁鏈接：
3.國際留學生教育研究發展與特征——基於國際權威期刊文本的分析
摘要：留學生教育是高等教育國際合作與交流的重要組成部分🚵🏽♂️，是衡量高等教育國際化發展程度的重要指標🏄🏼。掌握留學生教育研究前沿發展動態對於提升留學生教育質量、促進留學教育良性循環具有重要現實意義🧖🏻♀️。通過梳理2007年至2017年SSCI收錄的6份國際知名高等教育學期刊相關文獻，從留學生教育研究主題🚶🏻➡️、研究視角🧓、研究方法🏋🏿♂️、研究對象與研究主體等五個方面對已有研究進行歸納和分析，可以發現，國際留學生教育研究發展呈現研究取向多元化🈺⏸、研究理論與框架跨學科化🕵🏻♀️🩹、研究主體合作化、研究方法混合化發展趨勢；國際留學生教育研究逐漸從流動過程研究向流動結果轉向，留學生教育質量研究持續向微觀領域深入👮♂️；亞洲留學生，尤其是STEM留學生受到廣泛關註；國際留學生教育研究主體仍主要來自留學教育發達國家和機構，國際學者對來華留學生的關註不足，國內學者對留學教育研究的深度和廣度仍有待加強，在留學生教育研究的國際舞臺上，亟需更多的“中國案例”與“中國聲音”。
詳情頁鏈接：
4.想象的中國與跨國教育流動——全球南方視角下發展中國家青年來華學醫研究
摘要：跨國教育流動主要是從南方國家到北方國家的垂直流動🈷️。隨著一些新興經濟體崛起，來自經濟較為落後的發展中國家青年開始在南南區域內尋求接受高等教育的機會。中國作為亞洲最大的留學目的國，是全球教育流動景觀中的重要場域。中國快速持續的發展💆🏼♂️，使其他南方國家青年產生了對中國的新想象，並萌發出將自身教育流動經歷🏟，與其家庭乃至生源國發展,與中國相關聯的思考與行動😷。新思考推動國際青年源源不斷地來到中國接受專業的醫學教育🛢，探索新的成長路徑。來華學醫景觀形成了獨特的平民化、區域化特征。大部分國際醫學生來自南方國家較貧困的家庭📧，他們在華獲得更高性價比的醫學教育資源🤾🏼♀️，探索出更多的發展可能性🦯。面對各式各樣的人生選擇，許多國際青年畢業後打算歸國就業或者從事無國界醫生🤦♀️，這將可能實現南方國家醫學人才從流失向回流的轉變🧛🏿♀️，甚至形成南南區域內部的醫學人才環流。從全球南方視角分析來華學醫景觀的形成及其意義🚴🏽♀️，有利於了解南南教育流動新趨勢，更加全面公正地評價中國的對外醫學教育✂️🎬。
詳情頁鏈接：
08 外語與文化傳播學院
1.Towards industrial robots as a service (IRaaS): Flexibility, usability, safety and business mod
Abstracts： Industrial robots form an integral part of today's manufacturing industry, due to their high versatility, precision, and fatigue proof nature. Yet, many small and medium sized enterprises (SMEs) still predominantly rely on manual labor. The main barriers that prevent SMEs from utilizing robots to a larger degree are described to be the large initial investment, uncertainty about costs (total cost of ownership), and lack of expertise. An opportunity to eliminate these barriers can be found in servitisation. While paradigms such as software as a service (SaaS) or Robot as a Service (RaaS) already exist, these focus mostly on software (functionality) via cloud computing. In this paper, a new paradigm based on software and hardware is proposed as Industrial Robots as a Service (IRaaS), which is composed of four elements: Flexibility (Plug and Produce, mobility), Usability (Easy Programming, Intuitive Interaction), Safety (Standards, Strategies), and Business Models (Time-based, Usagebased). To provide an overview of the current state-of-the-art a scoping survey is performed on each of the four key elements from an IRaaS perspective.
詳情網址：
https://www.webofscience.com/wos/woscc/full-record/WOS:000903720900005
2. Word-of-mouth in business-to-business marketing: a systematic review and future research directions
Abstracts🧑🚀：Purpose - The purpose of this study is to review and analyze the status of word-of-mouth (WOM) research in the business-to-business (B2B) context and discuss and identify new possible future directions. Design/methodology/approach - A systematic review was conducted and 36 articles on B2B WOM were collected to evaluate the current state of the literature and clarify possible future research directions. Findings - This thematic analysis categorize these articles into three themes: WOM generation, WOM usage and reference marketing. Under each theme, the authors reveal research findings unique to B2B research and different from business-to-consumer (B2C) WOM research. This study identifies several research questions that should be addressed by future research. Originality/value - Both academic researchers and business practitioners recognize that WOM plays an essential role in B2B marketing. However, no review paper focuses on WOM in the B2B context. Findings in the B2C WOM literature suggest that WOM substantially influences firms' performance, but that managers cannot simply attempt to extrapolate B2C findings to the B2B arena. By synthesizing and assessing prior research on WOM in the B2B context, this study contributes to a better understanding of the B2B WOM phenomenon and facilitates future research on this topic.
詳情網址：
https://www.webofscience.com/wos/woscc/full-record/WOS:000919177700002
