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There is a problem of capacity mismatch between different companies in the current market. In this paper, we propose a dual-channel capacity sharing supply chain consisting of two competing manufacturers (i.e. a capacity seller and a capacity buyer) and one platform. Considering the gap of matching success rates, we investigate whether the buyer and seller can benefit from capacity sharing and how the different matching success rates influence the manufacturers’ decisions on spontaneously match through a platform. Through numerical simulation, we find that (1) the seller can always benefit from capacity sharing even when the match fails, while the buyer benefits from capacity sharing only when the capacity constraint is relatively severe; (2) both the buyer and seller prefer to participate through the platform when the platform has a sufficiently high advantage in matching success rates; (3) if the capacity constraint is much severe, the capacity buyer may turn to self-match rather than capacity sharing. Besides, we also study the sustainability of the capacity-sharing system and show how the platform can improve sustainability by forgoing accumulated profits.

Agilent Technologies supports Professor's work developing transformative NMR applications for structural biology.

Alchemia announces multi-target drug discovery collaboration with AstraZeneca on VAST discovery platform.

DSM and DecImmune Therapeutics sign agreement to develop N2 pathway blocking antibody.

Novel technology from Columbia University for Neurobiological Research.

A new EU-funded industry-academia drug discovery partnership targets challenging kinases.

Avian Influenza A (H7N9) threatens, GenScript supports researchers in impending battle.

Infinitus Establishes Three Additional Scientific Research Platforms to Facilitate Its Product Innovation.

BGI Partners with NRGene to Provide Broadest Genomic Analysis Available.

CHINA AID - A Platform for Chinese Senior Care Industry.

Modern Biotechnological Tools Contribute to Biodiversity Conservation.

Older Adults Use Brain Regions Involved in Speaking to Compensate for Bad Hearing.

Chinese Scientists Discover Molecules to Repair Organs.

CAS Sits Atop of Nature Index 2016 Rising Star List.

Chinese Researchers to Develop 3D Skin Printing Technology.

Varian Chosen to Equip First Government Owned Proton Centre in China.

HONG KONG NEWS – Amgen Launches Commercial Office in Hong Kong.

From Home to Hospital: Digitisation of Healthcare.

Microsoft with RingMD, Oneview Healthcare, Vital Images, Aruba, and Clinic to Cloud: The Ecosystem of Healthcare Solutions Providers in Asia.

Data Helps in Improving Nursing Practice, Making Better Decisions.

Launch of Asian Branch for QuintilesIMS Institute.

Tissue elasticity and viscosity are always associated with pathological changes. As a new imaging method, ultrasound vibro-acoustic imaging is developed for quantitatively measuring tissue elasticity and viscosity which have important significance in early diagnosis of cancer. This paper developed an ultrasound vibro-acoustic imaging research platform mainly consisting of excitation part and detection part. The excitation transducer was focused at one location within the medium to generate harmonic vibration and shear wave propagation, and the detection transducer was applied to detect shear wave at other locations along shear wave propagation path using pulse-echo method. The received echoes were amplified, filtered, digitized and then processed by Kalman filter to estimate the vibration phase. According to the phase changes between different propagation locations, we estimated the shear wave speed, and then used it to calculate the tissue elasticity and viscosity. Preliminary phantom experiments based on this platform show results of phantom elasticity and viscosity close to literature values. Upcoming experiments are now in progress to obtain quantitative elasticity and viscosity in vitro tissue.

With the emergence of the electronic patient record, the scene of stacks of patient records, common in hospitals and clinics, will become eradicated. Computerized patient records can facilitate patients' queries and requests for diagnosis. Personal patient records entailing prior hospital or clinic visits can be readily retrieved through contemporary storage devices (such as integrated circuit card, radio-frequency identification, etc.) thereby enabling physicians to efficiently determine a patient's past medical history in order to accurately assess his/her medical condition. The gradual development of the electronic patient record with direct connection to the hospital will enable physicians to use a handheld electronic patient record platform for queries and study as well as to diagnose a patient's condition, even while making out-of-town visits.

This not only can serve patients located at remote areas, but also lessen the difficulties experienced in out-of-town diagnosis and treatment. While focusing on the methods for designing a handheld electronic patient record, this thesis applies unified modeling language (UML) to describe the acquired functions of such a platform; in essence, it applies the characteristics of UML to provide the designer with clarified understanding for the architecture as well as the operational movements. Through this approach, a highly reliable product could be designed in the shortest period of time.