A note on “A mixed integer programming model for advanced planning and scheduling (APS)”

In a recent paper, Chen and Ji [Chen, K., Ji, P., 2007. A mixed integer programming model for advanced planning and scheduling (APS). European Journal of Operational Research 181, 515–522] develop a mixed integer programming model for advanced planning and scheduling problem that considers capacity constraints and precedence relations between the operations. The orders require processing of several operations on eligible machines. The model presented in the above paper works for the case where each operation can be processed on only one machine. However, machine eligibility means that only a subset of machines are capable of processing a job and this subset may include more than one machine. We provide a general model for advanced planning and scheduling problems with machine eligibility. Our model can be used for problems where there are alternative machines that an operation can be assigned to.     

Near-infrared dyes,nanomaterials and proteins

Taking the advantage of reduced scattering and low autofluorescence background, the NIR fluorescence probes, such as fluorescence proteins, organic molecules and nanoparticles, not only hold the promise of in vivo imaging of biological processes in physiology and pathology with high signal-to-noise ratio, but also for clinical diagnosis. In this review, we provide an overview of the recent progress on NIR probes, focusing on fundamental mechanisms of NIR dyes and nanoparticles, and protein engineering strategies for NIR proteins.     

Nanodiamonds for advanced optical bioimaging and beyond

Nanodiamond (ND) has emerged as an intriguing material in recent years both industrially and in research. During the last decade, ND has furthered its way into the biomedical field, mainly due to its inherent photoluminescent properties. In parallel, the development of advanced biomedical imaging methods and techniques has faced a steep upswing, making these two a ‘perfect match’. The optical and physical properties of ND can be tuned, rendering them highly interesting as versatile biomedical imaging probes. In this short review, we will cover a few of the most recently emerged applications of NDs in biomedical imaging and contemplate on current challenges and future directions.     

Engineering nanostructures of CuO-based photocatalysts for water treatment: Current progress and future challenges

Nowadays, increasing extortions regarding environmental problems and energy scarcity have stuck the development and endurance of human society. The issue of inorganic and organic pollutants that exist in water from agricultural, domestic, and industrial activities has directed the development of advanced technologies to address the challenges of water scarcity efficiently. To solve this major issue, various scientists and researchers are looking for novel and effective technologies that can efficiently remove pollutants from wastewater. Nanoscale metal oxide materials have been proposed due to their distinctive size, physical and chemical properties along with promising applications. Cupric Oxide (CuO) is one of the most commonly used benchmark photocatalysts in photodegradation owing to the fact that they are cost-effective, non-toxic, and more efficient in absorption across a significant fraction of solar spectrum. In this review, we have summarized synthetic strategies of CuO fabrication, modification methods with applications for water treatment purposes. Moreover, an elaborative discussion on feasible strategies includes; binary and ternary heterojunction formation, Z-scheme based photocatalytic system, incorporation of rare earth/transition metal ions as dopants, and carbonaceous materials serving as a support system. The mechanistic insight inferring photo-induced charge separation and transfer, the functional reactive radical species involved in a photocatalytic reaction, have been successfully featured and examined. Finally, a conclusive remark regarding current studies and unresolved challenges related to CuO are put forth for future perspectives.     

Metal-Organic Frameworks for Photocatalytic Water Splitting and CO2 Reduction

Photocatalytic water splitting and carbon dioxide (CO₂) reduction provide promising solutions to global energy and environmental issues. In recent years, metal-organic frameworks (MOFs), a class of crystalline porous solids featuring well-defined and tailorable structures as well as high surface areas, have captured great interest toward photocatalytic water splitting and CO₂ reduction. In this review, the semiconductor-like behavior of MOFs is first discussed. We then summarize the recent advances in photocatalytic water splitting and CO₂ reduction over MOF-based materials and focus on the unique advantage of MOFs for clarifying the structure-property relationship in photocatalysis. In addition, some representative characterization techniques have been presented to unveil the photocatalytic kinetics and reaction intermediates in MOF-based systems. Finally, the challenges, and perspectives for future directions are proposed.     

大学化学先修课程的实践与思考

中国大学先修课程是国内在基础教育阶段探索人才培养的一种新模式,同时也是高校探索通过综合评价选拔人才的途径之一。在连续3个轮次教学实践的基础上,北京师范大学第二附属中学对大学化学课程的目标定位、课程内容、实施方式以及资源建设等方面进行了系统的总结,讨论了目前大学先修课程实施过程中所面临的若干问题。     

含多滞量的非线性中立型差分方程的振动准则

本文研究了较为一般的含有多个滞量的非线性中立型差分方程的振动性,得到了该类方程振动的一个充要条件．     

OSCILLATIONS OF SYSTEMS OF PARABOLICEQUATIONS WITH CONTINUOUSDISTRIBUTED ARGUMENTS

1IntroductionNowadaysoneobservesanexpandinginterestt'owardthestudyofinitialvalueproblemsforpartialdifferentialequations11-6].Butonly[4]publishedtheoscillationtheoryofparabolicequationswithcontinuousdistributeddeviatingarguments.Inthispaper,westudytheoscillationstoasystemofparabolicequationswithcontinuousdistributeddeviatingargumentsoftheformwherefiisaboundeddomaininR"withpiecewisesmoothboundaryoff,nbistheLaplacianinEuclideann-spaceR",Am(x,t)=ZM,andtheT=lrintegralin(1)isaStieltjesintegral.S…     

Condition monitoring of a single-stage gearbox with artificially induced gear cracks utilizing on-line vibration and acoustic emission measurements

The condition monitoring of a lab-scale, single stage, gearbox using different non-destructive inspection methodologies and the processing of the acquired waveforms with advanced signal processing techniques is the aim of the present work. Acoustic emission (AE) and vibration measurements were utilized for this purpose. The experimental setup and the instrumentation of each monitoring methodology are presented in detail. Emphasis is given on the signal processing of the acquired vibration and acoustic emission signals in order to extract conventional as well as novel parameters-features of potential diagnostic value from the monitored waveforms. Innovative wavelet-based parameters-features are proposed utilizing the discrete wavelet transform. The evolution of selected parameters/features versus test time is provided, evaluated and the parameters with the most interesting diagnostic behaviour are highlighted. The differences in the parameters evolution of each NDT technique are discussed and the superiority of AE over vibration recordings for the early diagnosis of natural wear in gear systems is concluded.