Sustainable reference methodology for energy end-use efficiency data in the EU

One of the most important goals of the European energy policy involves the implementation of energy-efficiency measures in large scale so as to promote sustainable development in the European Union (EU) level. The multidimensional character of energy end-use efficiency (EEE) necessitates the collection of a number of related data, apart from the performance and system parameters data, such as socio-economic (e.g., employment, turnover) and Research and Development (R&D) expenditures. Moreover, improved co-ordination of EEE programmes and policies of the community and the member states so as a unified acceptable system to be developed for the monitoring of the EEE data with respect to the existing targets is of significant importance. Even though data-gathering efforts have been implemented, a lot of fragmented data and deduced findings are currently available, which sometimes lack consistency and verification. In this context, the main aim of the paper is to present a sustainable reference methodology for validating EEE data in EU, through the review of existing approaches and methods, defining of most relevant inconsistencies and gaps and provision of recommendations for improvements in EEE data aggregation and statistical interpretation, taking into consideration the related analysis of statisticians, energy technology experts and energy socio-economists.     

Evaluation of dispatching rules for cellular manufacturing

In this paper, the effects of various dispatching rules on the operation and performance of cellular manufacturing systems (CMS) are evaluated. When the study of a CMS considers the automated material handling, it is crucial to reduce the gridlock probability (i.e., the probability of an unsuccessful load transfer attempt occurring in the interface point between the intercell and intracell handling system). Preventing an unsuccessful load transfer is critical for the operation of the entire system as a blockage between the automated guided vehicle (AGV) and the overloaded cell results in a total system shutdown. The gridlock probability is influenced by the dispatching rule used to schedule the load transfers in the system. Therefore, in order to reduce this probability it is necessary to use a dispatching rule that will decrease the number of waiting loads in the transfer spurs. The main objective of the paper presented herein is to identify a dispatching rule that maintains the system operational at all times. A group of dispatching rules, including the first come first served (FCFS), shortest imminent operation (SI), longest imminent operation (LI), most remaining operations (MRO), shortest processing time (SPT), shortest remaining process time (SR), and a newly developed rule proposed by the authors, loads with the minimum number of processing first (MNP), are tested and evaluated with respect to whether the capacity of the transfer spurs of the cells is exceeded. This paper presents a simulation model of a cellular manufacturing system, which is used to further explore the effects of the dispatching rules on the system performance. The results show superior performance of the newly proposed MNP rule.     

NLCQ-1, a novel hypoxic cytotoxin: potentiation of melphalan, cisDDP and cyclophosphamide in vivo

PURPOSE: To investigate in vivo interactions between the recently developed bioreductive agent 4-[3-(2-nitroimidazolyl)-propylamino]-7-chloroquinoline hydrochloride (NLCQ-1) and the chemotherapeutic agents melphalan (L-PAM), cis-platin (cisDDP) and cyclophosphamide (CPM). METHODS AND MATERIALS: EMT6 and FSaIIC tumor cells were inoculated (subcutaneously) into the leg(s) of female Balb/c and male C3H mice, respectively. Treatment was initiated at 10 mm (EMT6) and 5 mm (FSaIIC) mean tumor diameter. The in vivo-in vitro and tumor regrowth assays were used, respectively, as endpoints. Bone marrow toxicity studies were also performed when the in vivo-in vitro assay was used. Drugs were given by i.p. injection. Tumors were excised 18-h after chemotherapeutic drug administration (Balb/c mice) or measured daily until three times their original size (C3H mice). The optimum administration schedule for potentiation between NLCQ-1 and each chemotherapeutic drug, as well as dose modification factors (DMF) at the optimum time, were determined with the in vivo-in vitro assay. When the tumor regrowth assay was used, each chemotherapeutic agent was given either as a single dose or as a split dose over two consecutive days at the optimum administration time after a 10 mg/kg NLCQ-1 i.p. injection. RESULTS: NLCQ-1 (at 0.33 times MTD), strongly potentiated the antitumor effect of L-PAM, cisDDP and CPM without concurrent enhancement in bone marrow toxicity. Potentiation was strictly schedule dependent and the optimum effect (1.5 to 2 logs killing beyond additivity) was observed when NLCQ-1 was given 60-, 45-, and 110-min before L-PAM, cisDDP, and CPM, respectively. The DMF values at 30% survival were 2.5, 1.9, and 3.8 for L-PAM, cisDDP, and CPM, respectively. DMF values for bone marrow toxicity at 50% survival were ca. 1 for all chemotherapeutic drugs. Pretreatment with NLCQ-1 resulted in 4-12 days extra delay in the regrowth of FSaIIC tumors. CONCLUSIONS: These results support the clinical investigation of NLCQ-1 as a chemosensitizer.     

Wireless beyond 3G: managing services and network resources

Wireless beyond 3G is a new concept that envisions cellular, BFWA, and DVB systems cooperating in a composite radio infrastructure. In this scheme, instead of rejecting users or degrading their quality of service levels, a network provider can direct them to an alternate radio technology that meets certain environmental, cost, and QoS criteria. To achieve such a system requires upgrading service and network resource management (SNRM). We present work areas for a new SNRM approach that comprises the Universal Mobile Telecommunications System (UMTS), high-performance wireless local area network (HiperLAN 2) technology, and terrestrial DVB (DVB-T) systems.     

Diarrheic shellfish poisoning due to toxic mussel consumption: The first recorded outbreak in Greece

During the week of 14-20 January 2000, 120 people visited the Emergency Departments of hospitals in Thessaloniki, northern Greece, complaining of acute gastrointestinal illness after eating mussels (Mytilus galloprovincialis). The symptoms indicated diarrhoeic shellfish poisoning, and the toxicity of mussels harvested from Thermaikos Gulf in Thessaloniki during the outbreak was investigated using mouse bioassays. The bioassays revealed toxicity to mice by the mussel samples; while high numbers of toxic algae Dinophysis acuminata were identified in water samples from Thermaikos Gulf. The harvesting of mussels was immediately suspended and a monitoring programme for algal blooms was established from then onwards. During a follow-up of the mussels' toxicity from January 2000 to January 2005, two more mussel samples were found positive for diarrheic shellfish poisoning: one harvested in March 2001 from the area of the outbreak (Thermaikos Gulf) and the other harvested in January 2001 from Amvrakikos Gulf in north-western Greece. However, no sporadic cases or outbreaks were reported during this period.     

TCP-Aware Call Admission Control in High Altitude Platforms Using Cross-Layer Design

In this paper, a new cross-layer design is proposed employing the predictability of rain faded channels to guarantee QoS requirements in High Altitude Platform (HAP) networks. Both a centralized and a distributed scheme are proposed for call admission control of packet-switched HAP wireless networks using a cross-layer approach aiming at keeping the call dropping probability below a predefined threshold. In both schemes, a new call is accepted if there are sufficient resources for the ongoing calls and for the new one to guarantee their QoS requirements for their whole connection. The performance of the proposed schemes is investigated using markov chain analysis and bounds of the call blocking probability are determined analytically.     

Design,characterisation and drug release study of polymeric,drug‐eluting single layer thin films on the surface of intraocular lenses

To design, develop and study a novel drug delivery system for intraocular applications. The spin coating technique was applied to develop a polymeric, drug‐eluting thin film consisting of a blend of organic polymers [poly (D, L lactide coglycolide) lactide: glycolide 75: 25, PLGA and polycaprolactone, PCL] and dexamethasone on the surface of intraocular lenses (IOLs). The initial durability of the IOLs during spinning was assessed. Information about the structural and optical properties of the modified IOLs was extracted using atomic force microscopy, scanning electron microscopy and spectroscopic ellipsometry. A drug release study was conducted for 8 weeks. The IOLs were durable in spinning speeds higher than the ones used to develop thin films. Single‐layer thin films were successfully developed on the optics and the haptics of the lenses. The films formed nanopores with encapsulated aggregates of dexamethasone. The spectroscopic ellipsometry showed an acceptable optical transparency of the lenses regardless of the deposition of the drug‐eluting films on their surface. The drug release study demonstrated gradual dexamethasone release over the selected period. In conclusion, the novel drug‐eluting IOL system exhibited desired properties regarding its transparency and drug release rate. Further research is necessary to assess their suitability as an intraocular drug delivery system.Inspec keywords: ellipsometry, encapsulation, nanoporous materials, spin coating, polymer blends, biodegradable materials, surface treatment, polymer films, atomic force microscopy, transparency, nanomedicine, durability, scanning electron microscopy, drug delivery systemsOther keywords: drug release, intraocular lenses, intraocular applications, spin coating technique, modified IOLs, spectroscopic ellipsometry, dexamethasone release, transparency, drug release rate, intraocular drug delivery system, drug‐eluting IOL system, polymeric drug‐eluting single‐layer thin films, optical properties, structural properties     

Contribution of Fourier transform infrared (FTIR) spectroscopy data on the quantitative determination of minced pork meat spoilage

The aim of this work was to investigate the feasibility of Fourier transform infrared (FTIR) spectroscopy to quantify biochemical changes occurring in fresh minced pork meat in the attempt to monitor spoilage. For this reason, partial least squares (PLS) models were constructed to correlate spectral data from FTIR with minced pork meat spoilage during aerobic storage of meat samples at different storage temperatures (0, 5, 10, and 15 °C). Spectral data were collected from the surface of meat samples in parallel with microbiological analysis to enumerate the population of total viable counts, Pseudomonas spp., Brochothrix thermosphacta, lactic acid bacteria and Enterobacteriaceae. Qualitative interpretation of spectral data was based on sensory evaluation, using a three point hedonic scale, discriminating meat samples in three quality classes, namely fresh, semi-fresh and spoiled. The purpose of the developed models was to classify minced pork samples in the respective quality class, and also to correlate the population dynamics of the microbial association with FTIR spectra. The obtained results demonstrated good performance in classifying meat samples in one of the three pre-defined sensory classes. The overall correct classification rate for the three sensory classes was 94.0% and 88.1% during model calibration and validation, respectively. Furthermore, PLS regression models were also employed to provide quantitative estimations of microbial counts during meat storage. The performance was based on graphical plots and statistical indices (bias factor, accuracy factor, standard error of calibration, standard error of prediction, and correlation coefficient). The values of the bias factor were close to unity for all microbial groups indicating no systematic bias of the models. Moreover, the calculated values of the accuracy factor showed that the average deviation between predictions and observations was 7.5% and 7.9% for total viable counts and Pseudomonas spp. and 10.7% and 11.3% for lactic acid bacteria and B. thermosphacta. Finally, correlations above 0.80 between observed and estimated counts were observed for both training and test data sets.