Bag Of Terms Research Articles

Ready-to-Use Multichamber Bags in Home Parenteral Nutrition for Patients with Advanced Cancer: A Single-Center Prospective Study.

Home parenteral nutrition (HPN) is increasingly prescribed for patients with advanced cancer. This therapy improves free-fat mass, quality of life and survival, but it is not free from complications, especially catheter-related bloodstream infections (CRBSIs). The use of commercial multichamber bags in HPN has not been extensively explored in oncologic patients and their association with complications is not well known. In this prospective cohort study, we included 130 patients with advanced cancer and HPN. We compared the effects of individual compounded bags (n = 87) vs. commercial multichamber bags (n = 43) on complications. There were no differences in any complication, including thrombosis (p > 0.05). There were 0.28 episodes of CRBSI per 1000 catheter days in the individual compounded bag group and 0.21 in the multichamber bag group (p > 0.05). A total of 34 patients were weaned off HPN, 22 with individual bags and 12 with multichamber bags (p = 0.749). Regarding survival when on HPN, the group with individual bags showed a median of 98 days (95% CI of 49-147), whereas those with multichamber bags showed a median of 88 days (95% CI of 43-133 (p = 0.913)). In conclusion, commercial multichamber bags for HPN in patients with advanced cancer are non-inferior when compared to individual compounded bags in terms of complications.

Impact of different storage containers on seed quality parameters of eggplant (Solanum melongena) during storage

The present study was carried out at Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana to assess the impact of natural ageing and different storage containers on eggplant (Solanum melongena L.) seed quality during the 2020–21 and 2021–22 winter (rabi) seasons. Genetically pure seeds were used and stored in cloth and polythene bags. Seed quality parameters (germination, seedling length, seedling dry weight, and seed vigour) were monitored at various intervals (0, 3, 6, 9, 12, 15, 18 months). Freshly harvested seeds (control) exhibited superior quality, with higher germination rates, longer seedlings, greater seedling dry weight, and improved vigour indices compared to stored seeds over 18 months. Seed quality deteriorated with longer storage, reaching its lowest point at 18 months. Among storage containers, cloth bags showed a faster decline in seed quality compared to polythene bags (>700 gauge). In field experiments, one-year stored seeds from polythene bags outperformed those from cloth bags in terms of seed establishment percentage, mean emergence time, and germination speed. In conclusion, polythene bags maintained acceptable seed germination (meeting IMSCS standards) for up to 15 months, while cloth bags maintained it for up to 12 months. Therefore, polythene bags are a better choice for preserving eggplant seed quality during storage, particularly for longer durations.

No Pain No Gain: Standards mapping in Latimer Core development

Latimer Core (LtC) is a new proposed Biodiversity Information Standards (TDWG) data standard that supports the representation and discovery of natural science collections by structuring data about the groups of objects that those collections and their subcomponents encompass (Woodburn et al. 2022). It is designed to be applicable to a range of use cases that include high level collection registries, rich textual narratives and semantic networks of collections, as well as more granular, quantitative breakdowns of collections to aid collection discovery and digitisation planning. As a standard that is (in this first version) focused on natural science collections, LtC has significant intersections with existing data standards and models (Fig. 1) that represent individual natural science objects and occurrences and their associated data (e.g., Darwin Core (DwC), Access to Biological Collection Data (ABCD), Conceptual Reference Model of the International Committee on Documentation (CIDOC-CRM)). LtC’s scope also overlaps with standards for more generic concepts like metadata, organisations, people and activities (i.e., Dublin Core, World Wide Web Consortium (W3C) ORG Ontology and PROV Ontology, Schema.org). LtC represents just an element of this extended network of data standards for the natural sciences and related concepts. Mapping between LtC and intersecting standards is therefore crucial for avoiding duplication of effort in the standard development process, and ensuring that data stored using the different standards are as interoperable as possible in alignment with FAIR (Findable, Accessible, Interoperable, Reusable) principles. In particular, it is vital to make robust associations between records representing groups of objects in LtC and records (where available) that represent the objects within those groups. During LtC development, efforts were made to identify and align with relevant standards and vocabularies, and adopt existing terms from them where possible. During expert review, a more structured approach was proposed and implemented using the Simple Knowledge Organization System (SKOS) mappingRelation vocabulary. This exercise helped to better describe the nature of the mappings between new LtC terms and related terms in other standards, and to validate decisions around the borrowing of existing terms for LtC. A further exercise also used elements of the Simple Standard for Sharing Ontological Mappings (SSSOM) to start to develop a more comprehensive set of metadata around these mappings. At present, these mappings (Suppl. material 1 and Suppl. material 2) are provisional and not considered to be comprehensive, but should be further refined and expanded over time. Even with the support provided by the SKOS and SSSOM standards, the LtC experience has proven the mapping process to be far from straightforward. Different standards vary in how they are structured, for example, DwC is a ‘bag of terms’, with informal classes and no structural constraints, while more structured standards and ontologies like ABCD and PROV employ different approaches to how structure is defined and documented. The various standards use different metadata schemas and serialisations (e.g., Resource Description Framework (RDF), XML) for their documentation, and different approaches to providing persistent, resolvable identifiers for their terms. There are also many subtle nuances involved in assessing the alignment between the concepts that the source and target terms represent, particularly when assessing whether a match is exact enough to allow the existing term to be adopted. These factors make the mapping process quite manual and labour-intensive. Approaches and tools, such as developing decision trees (Fig. 2) to represent the logic involved and further exploration of the SSSOM standard, could help to streamline this process. In this presentation, we will discuss the LtC experience of the standard mapping process, the challenges faced and methods used, and the potential to contribute this experience to a collaborative standards mapping within the anticipated TDWG Standards Mapping Interest Group.

A deep 96-well plate RBC storage platform for high-throughput screening of novel storage solutions.

Background: Red blood cell (RBC) storage solutions, also known as additive solutions (ASs), first developed in the 1970s, enable extended storage of RBCs. Unfortunately, the advancements in this field have been limited, due to labor intensive and time-consuming serial in vitro and in vivo testing, coupled with very high commercialization hurdles. This study examines the utility of deep 96-well plates for preliminary screenings of novel ASs through comparison of RBC storage with the standard PVC bags in terms of hemolysis and ATP levels, under both normoxic (N) and hypoxic/hypocapnic (H) storage conditions. The necessity for the presence of DEHP, normally provided by PVC bags, is also examined. Materials and methods: A pool of 2 ABO compatible RBC units was split between a bag and a plate. Each plate well contained either 1, 2 or 0 PVC strips cut from standard storage bags to supply DEHP. The H bags and plates were processed in an anaerobic glovebox and stored in O2 barrier bags. Hemolysis and ATP were measured bi-weekly using standard methods. Results: Final ATP and hemolysis values for the plate-stored RBCs were comparable to the typical values observed for 6-week storage of leukoreduced AS-3 RBCs in PVC bags under both N and H conditions. Hemolysis was below FDA and EU benchmarks of 1% and 0.8%, respectively, and excluding DEHP from plates during storage, resulted in an inconsequential increase when compared to bag samples. Discussion: In combination with high-throughput metabolomics workflow, this platform provides a highly efficient preliminary screening platform to accelerate the initial testing and consequent development of novel RBC ASs.

Assessment of the Purdue Improved Crop Storage (PICS) bag for maize storage in Ghana

Despite the recent introduction of improved grain storage methods and technologies, many smallholder maize farmers in Ghana still use traditional storage practices and structures for storing their maize grains after harvest. This practice contributes to the high post-harvest losses in maize grain at the smallholder level largely due to insect pest infestation. Hermetic bag storage is a proven technology effective in reducing grain damage and losses from insect pests. In this study, the efficacy of the Purdue Improved Crop Storage (PICS) bag was compared with a polypropylene (PP) bag stored with maize treated with Betallic Super EC chemical and PP bag stored with maize without Betallic treatment (Control) during a 6-month storage period. Data on grain moisture content (MC), number of live insects, insect damaged kernels (IDK) and maize weight loss were collected monthly for analysis. Grain viability and nutrient analysis were also conducted before and after storage. The results showed initial grain moisture content of 11.4% was not significantly affected in the PICS bags but increased by 1-2% in the PP bags. Purdue Improved Crop Storage (PICS) bags and Betallic treatment significantly reduced insect damage grains with mean weight loss of < 5% and 6.35 % respectively compared to the control (PP bag without Betallic) treatment with mean weight loss of 21 % over the 6-month storage period. Germination rate of sampled seeds after storage in the PICS bags (75 %) was not significantly different to the initial germination rate (78 %) compared to the control (PP bag without Betallic) treatment of 56 %. Overall, maize grains stored in the PICS bags showed no signs of deterioration as compared to grains in the PP bags. The PICS bags were superior to the PP bags in terms of other grain quality metrics assessed and the nutrient characterization such as protein and carbohydrate which had no significant difference (p<0.05) between the initial and the three treatments. The results showed that PICS bags can be effective in protecting maize grains during storage. Smallholder farmers are therefore encouraged to consider this technology especially for controlling insect pests of stored maize. Key words: Insect pests, Polypropylene, Smallholder farmers, Purdue Improved Crop Storage bag

Technical note: Unresolved aspects of the direct vapor equilibration method for stable isotope analysis (<i>δ</i><sup>18</sup>O, <i>δ</i><sup>2</sup>H) of matrix-bound water: unifying protocols through empirical and mathematical scrutiny

Abstract. The direct vapor equilibration laser spectrometry (DVE-LS) method has been developed for obtaining matrix-bound water stable isotope data in soils, the critical zone, and bedrock, deriving therefrom subsurface water flow and transport processes and, ultimately, characterizing, for example, groundwater recharge and vulnerability. Recently, DVE-LS has been increasingly adopted due to its possible high sample throughput, relative simplicity, and cost-efficiency. However, this has come at the cost of a non-unified standard operation protocol (SOP), and several contradictory suggestions regarding protocol details do exist which have not been resolved to date. Particularly, sample container material and equilibration times have not yet been agreed upon. Beside practical constraints, this often limits DVE-LS applicability to interpreting relative isotope dynamics instead of absolute values. It also prevents data comparability among studies or laboratories, and several previous comparisons of DVE-LS with other, more traditional approaches of water extraction and subsequent stable isotope analysis yielded significant discrepancies for various sample matrices and physical states. In a series of empirical tests, we scrutinized the controversial DVE-LS protocol details. Specifically, we tested 10 different easily available and cost-efficient inflatable bags previously employed or potentially suitable for DVE-LS sample collection and equilibration. In storage tests similar to the DVE-LS equilibration process but lasting several weeks, we quickly found heat-sealed bags made of laminated aluminum (Al) sheets to be superior by several orders of magnitude over more frequently used freezer bags in terms of evaporation safety and accompanying adverse isotope effects. For the first time, Al-laminated bags allow the applied equilibration time to be adapted exclusively to sample requirements instead of accepting reduced data quality in a trade-off with material shortcomings. Based on detailed physical considerations, we further describe how to calculate the minimum available container headspace and sample-contained liquid water volume and how their ratio affects analytical precision and accuracy. We are confident that these guidelines will expand DVE-LS applicability and improve data quality and comparability among studies and laboratories by contributing to a more unified, physically well-founded SOP based on more appropriate components.

Traditional Woven Bags from Hakkâri Province

Until the 1970s, when village roads were just beginning to open in the rural areas of Hakkâri, carrying was mainly reliant on animal and human power. Sacks, some types of saddlebags, sacks and ‘têr’ were used for carrying loads by horse or mule while bags, some types of saddlebag and ‘parzun’ were used for carrying goods using manpower. Traditional ethnographic artifacts from thirty-two settlements in Hakkâri province were investigated within the scope of this field study. Besides decoration and material, we can see various types of woven bags in terms of function. Namely, they can be listed as shepherds’ (farmhands) bags, shepherds’ salt bags, wheat seed bags, scythe sharpening tools bags, women’s back packs, women’s shoulder bags and ornamental bags. There are around six thousand certificated and approximately four thousand with no certificate weavers in Hakkâri province; however, there have been almost no attempts to motivate them to make weavings in response to today’s consumers’ desires and demands. The aim of this study is to contribute to the scientific studies carried out in the field and to promote the economy of the locals while protecting traditional crafts of the region thus preserving the art works of Hakkâri province for future generations.

Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark

Person reidentification (Re-ID) benefits greatly from the accurate annotations of existing data sets (e.g., CUHK03 and Market-1501), which are quite expensive because each image in these data sets has to be assigned with a proper label. In this work, we ease the annotation of Re-ID by replacing the accurate annotation with inaccurate annotation, i.e., we group the images into bags in terms of time and assign a bag-level label for each bag. This greatly reduces the annotation effort and leads to the creation of a large-scale Re-ID benchmark called SYSU- 30k . The new benchmark contains 30k individuals, which is about 20 times larger than CUHK03 (1.3k individuals) and Market-1501 (1.5k individuals), and 30 times larger than ImageNet (1k categories). It sums up to 29606918 images. Learning a Re-ID model with bag-level annotation is called the weakly supervised Re-ID problem. To solve this problem, we introduce a differentiable graphical model to capture the dependencies from all images in a bag and generate a reliable pseudolabel for each person's image. The pseudolabel is further used to supervise the learning of the Re-ID model. Compared with the fully supervised Re-ID models, our method achieves state-of-the-art performance on SYSU- 30k and other data sets. The code, data set, and pretrained model will be available at https://github.com/wanggrun/SYSU-30k.

Storage of Maize in Purdue Improved Crop Storage (PICS) Bags.

Interest in using hermetic technologies as a pest management solution for stored grain has risen in recent years. One hermetic approach, Purdue Improved Crop Storage (PICS) bags, has proven successful in controlling the postharvest pests of cowpea. This success encouraged farmers to use of PICS bags for storing other crops including maize. To assess whether maize can be safely stored in PICS bags without loss of quality, we carried out laboratory studies of maize grain infested with Sitophilus zeamais (Motshulsky) and stored in PICS triple bags or in woven polypropylene bags. Over an eight month observation period, temperatures in the bags correlated with ambient temperature for all treatments. Relative humidity inside PICS bags remained constant over this period despite the large changes that occurred in the surrounding environment. Relative humidity in the woven bags followed ambient humidity closely. PICS bags containing S. zeamais-infested grain saw a significant decline in oxygen compared to the other treatments. Grain moisture content declined in woven bags, but remained high in PICS bags. Seed germination was not significantly affected over the first six months in all treatments, but declined after eight months of storage when infested grain was held in woven bags. Relative damage was low across treatments and not significantly different between treatments. Overall, maize showed no signs of deterioration in PICS bags versus the woven bags and PICS bags were superior to woven bags in terms of specific metrics of grain quality.

Search of Web Service based on Weighted Association Rule

The rapid growth of web services need efficiently discovering the desired web services for the users. Web service interfaces are defined with WSDL that is described by a bag of terms. Many similarity metrics are proposed to solve this problem, it is hardly to resolve the problem that only few pairs of terms between two services have high semantic distance, the semantic distance of other terms between two services are low. Using traditional keyword search metrics may acquire a wrong result that these two web services are similar, in addition, semantics of the web services is hardly to exploit. In this work the authors firstly help the request service to find the services that belong to the same class, and then they use association rule to find terms that are often appear together and find the most similar terms. The authors weaken the weight of the most similar term contained in an association rule and enhance the other terms' weight contained in an association rule to solve the situation above. The experiments show that our approach outperforms some searching methods.

Measure chain for exhaled breath collection and analysis: A novel approach suitable for frail respiratory patients

Exhaled breath analysis, a non-invasive diagnostic procedure, is based upon a sampling device for breath collection, an apparatus for the sample delivery into the measure chamber and a gas sensor array. Here a novel approach for the design and realization of these three components is presented. The volatile mixture composing the exhaled breath is entrapped onto an adsorbing cartridge via an innovative device able to collect exhaled breath from an individual normally breathing into a mouthpiece for three minutes. This procedure is very simple and cartridges outperform sampling bags in terms of preservation and transportability. Moreover, a thermal desorption process of the volatiles adsorbed on the cartridge can partially separate them by a given temperature profile. This separation, performed by the desorbing apparatus, improves sensor resolution via a preconcentration strategy. This method improves sensor resolution. The gas sensor array employed in this work is composed by a set of eight Quartz Micro Balances (QMB) coated by eight different anthocyanins. The Pneumopipe, the innovative breath collecting device, is described and tested in a proof of concept study involving all the measure chain: two small groups of Chronic Obstructive Pulmonary Disease (COPD) patients and control individuals have been perfectly discriminated and repeated measures on the same individuals showed an optimal reproducibility as verified by calculation of the relative standard deviation.

Potential for production of ‘mini-mussels’ in Great Belt (Denmark) evaluated on basis of actual and modeled growth of young mussels Mytilus edulis

The present study is a first step towards evaluation of the potential for line-mussel production in the Great Belt region between the Kattegat and Baltic Sea, Denmark. We present experimental results for actual growth rates of juvenile/adult mussels Mytilus edulis in suspended net bags in terms of shell length and dry weight of soft parts during extended periods (27–80 days) in the productive season in the first 6 series of field experiments, including 4 sites in Great Belt and 2 sites in Limfjorden, Denmark. Data were correlated and interpreted in terms of specific growth rate (μ, % day−1) as a function of dry weight of soft parts (W, g) by a previously developed simple bioenergetic growth model μ = aW −0.34. Results were generally in good agreement with the model which assumes the prevailing average chlorophyll a concentration at field sites to essentially account for the nutrition. Our studies have shown that M. edulis can grow from settlement in spring to 30 mm in shell length in November. We therefore suggest line farming of 30 mm ‘mini-mussels’ during one growth season, recovering all equipment at the time of harvest and re-establishing it with a new population of settled mussel larvae at the beginning of the next season, thus protecting the equipment from the damaging weather of the Danish winter season. The growth behavior during the fall–winter season was recorded in an additional 7th series of mussel growth experiments on farm-ropes to show the disadvantage of this period.

Margin-based ordered aggregation for ensemble pruning

Ensemble methods have been successfully used as a classification scheme. The reduction of the complexity of this popular learning paradigm motivated the appearance of ensemble pruning algorithms. This paper presents a new ensemble pruning method which highly reduces the complexity of ensemble methods and performs better than complete bagging in terms of classification accuracy. More importantly, it is a very fast algorithm. It consists in ordering all base classifiers with respect to a new criterion which exploits an unsupervised ensemble margin. This method highlights the major influence of low margin instances on the performance of the pruning task and, more generally, the potential of low margin instances for the design of better ensembles. Comparison to both the naive approach of randomly pruning base classifiers and another ordering-based pruning algorithm is carried out in an extensive empirical analysis.

Supervised subspace projections for constructing ensembles of classifiers

We present a method for constructing ensembles of classifiers using supervised projections of random subspaces. The method combines the philosophy of boosting, focusing on difficult instances, with the improved accuracy achieved by supervised projection methods to obtain very good results in terms of testing error. To achieve both accuracy and diversity, random subspaces are created at each step, and within each random subspace, a supervised projection is obtained using only the misclassified instances. The next classifier is trained using all available examples, in the space given by the supervised projections.The method is compared with AdaBoost and other ensemble methods, showing improved performance on a set of 32 problems from the UCI Machine Learning Repository. In terms of testing error, it obtains results that are significantly better than AdaBoost and random subspace method, using a decision tree as base learner. Furthermore, the robustness of the method in the presence of class label noise is above the results obtained with AdaBoost. A study performed using κ-error diagrams shows that the proposed method improves the results of boosting by obtaining diverse and more accurate classifiers. The decomposition of testing error into bias and variance terms shows that our method performs better than Bagging in terms of reducing the bias term of the error, and better than AdaBoost in terms of reducing the variance term of the error.

The effect of different packaging materials on proteolysis, sensory scores and gross composition of tulum cheese

In this study, tulum cheese was manufactured using raw ewe’s milk and was ripened in goat’s skin and plastic bags. The effect of ripening materials (skin bag or plastic) on proteolysis was investigated during 120 days of ripening. In addition, sensory scores of the cheeses were assessed at the 90th and 120th days. The gross composition was also determined at the initial stage of ripening. The results showed that, some significant differences were noted between cheeses ripened in goat’s skin and plastic bags in terms of gross composition due to the porous structure of skin bag, which causes moisture loses during ripening. Significant differences were observed in proteolysis indices including water, 12% tricholoroacetic acid and 5% phosphotungstic acid-soluble nitrogen fractions among the cheese samples during ripening. Proteolysis levels were higher in tulum cheeses ripened in goat’s skin. Key words: Tulum cheese, packaging material, sensory analysis, ripening, proteolysis.

Feature-subspace aggregating: ensembles for stable and unstable learners

This paper introduces a new ensemble approach, Feature-Subspace Aggregating (Feating), which builds local models instead of global models. Feating is a generic ensemble approach that can enhance the predictive performance of both stable and unstable learners. In contrast, most existing ensemble approaches can improve the predictive performance of unstable learners only. Our analysis shows that the new approach reduces the execution time to generate a model in an ensemble through an increased level of localisation in Feating. Our empirical evaluation shows that Feating performs significantly better than Boosting, Random Subspace and Bagging in terms of predictive accuracy, when a stable learner SVM is used as the base learner. The speed up achieved by Feating makes feasible SVM ensembles that would otherwise be infeasible for large data sets. When SVM is the preferred base learner, we show that Feating SVM performs better than Boosting decision trees and Random Forests. We further demonstrate that Feating also substantially reduces the error of another stable learner, k-nearest neighbour, and an unstable learner, decision tree.

Carbon footprint of shopping (grocery) bags in China, Hong Kong and India

Carbon footprint has become a term often used by the media in recent days. The human carbon footprint is professed to be a very serious global threat and every nation is looking at the possible options to reduce it since its consequences are alarming. A carbon footprint is a measure of the impact of human activities on earth and in particular on the environment; more specifically it relates to climate change and to the total amount of greenhouse gases produced, measured in units of carbon dioxide emitted. Effort of individuals in minimizing the carbon footprint is vital to save our planet. This article reports a study of the carbon footprint of various types of shopping bags (plastic, paper, non-woven and woven) using life cycle impact assessment (LCIA) technique in two stages. The first stage (baseline study), comprised the study of the impact of different types of shopping bags in the manufacturing phase, without considering their usage and disposal phases (cradle to gate stage). The LCIA was accomplished by the IPCC 2007 method, developed by the Inter Panel on Climate Change in SIMAPRO 7.2. The GWP (Global Warming Potential) values calculated by the IPCC 2007 method for 100 years were considered as a directive to compare the carbon footprint made by the different types of shopping bags under consideration. The next stage was the study of the carbon footprint of these bags including their usage and disposal phases (cradle to grave stage) and the results derived were compared with the results derived from the baseline study, which is the major focus of this research work. The values for usage and end-of-life phases were obtained from the survey questionnaire performed amongst different user groups of shopping bags in China, Hong Kong and India. The results show that the impact of different types of shopping bags in terms of their carbon footprint potential is very high if no usage and disposal options were provided. When the carbon footprint values from different disposal options were compared, the carbon footprint values were lower in the case where a higher percentage of reuse is preferred to recycling and disposing to landfill. The results indicate that a higher percentage of reuse could significantly scale down the carbon footprint. Once the shopping bags reached the point where they can no longer be reused, they must be forwarded to recycling options, rather than being disposed to landfill. At this juncture, consumer’s perceptions and behaviours in connection with the respective government’s policies in promoting & facilitating recycling systems could be critical in reducing the carbon footprint of various shopping bags.

A Theoretical Analysis of Bagging as a Linear Combination of Classifiers

We apply an analytical framework for the analysis of linearly combined classifiers to ensembles generated by bagging. This provides an analytical model of bagging misclassification probability as a function of the ensemble size, which is a novel result in the literature. Experimental results on real data sets confirm the theoretical predictions. This allows us to derive a novel and theoretically grounded guideline for choosing bagging ensemble size. Furthermore, our results are consistent with explanations of bagging in terms of classifier instability and variance reduction, support the optimality of the simple average over the weighted average combining rule for ensembles generated by bagging, and apply to other randomization-based methods for constructing classifier ensembles. Although our results do not allow to compare bagging misclassification probability with the one of an individual classifier trained on the original training set, we discuss how the considered theoretical framework could be exploited to this aim.

Retronectin®-assisted retroviral transduction of primary human T lymphocytes under good manufacturing practice conditions: tissue culture bag critically determines cell yield

For our clinical immunogene therapy study for the treatment of renal cell carcinoma (RCC) patients, we had developed a protocol for gene transduction and expansion of human T cells in compliance with good manufacturing practice (GMP) criteria. Critical to our successful clinical-scale transductions of patient T cells was the use of Retronectin in combination with Lifecell X-foldtrade mark cell culture bags. In our current study, we evaluated two alternative types of bags for the Retronectin-mediated retroviral transduction of human T cells: the Miltenyi DC-generation bag and the Takara CultiLife Spin bag. In static transductions, but not in spinoculation, the DC-generation bags and CultiLife Spin bags performed as well as Lifecell X-foldtrade mark bags in Retronectin-assisted retroviral transduction of human T cells with respect to transduction efficiency, lymphocyte subset composition and lymphocyte function. However, both types of bags performed less well than Lifecell X-foldtrade mark cell culture bags in terms of cell yield. Adjusted numbers of cells at the start of transduction should be used when using the Miltenyi or Takara bags in order to compensate for the lower cell yield following transduction.

Influence of ripening container on the lactic acid bacteria population in Tulum cheese

The objective of the present study was to investigate the influence of container material (plastic or goat-skin bag) on the growth of lactic acid bacteria in Tulum cheese during 9 months of ripening. The lactic acid bacteria in Tulum cheeses were periodically counted on MRS and M17 agars throughout ripening. Results showed that the highest counts of lactic acid bacteria on MRS or M17 were observed at the beginning of ripening and their counts decreased during later stages of ripening. The cheese samples ripened in plastic bags exhibited higher numbers of LAB on MRS and M-17 agars than those ripened in goat-skin bags. A total of 112 strains of lactic acid bacteria were isolated from Tulum cheeses ripened in plastic or goat-skin bags during ripening. The lactic acid bacteria present in the cheese were classified by Microbial Identification System (MIS) based on a comparison of the fatty acid methyl ester profiles. Different species including Enteroccocus, Lactobacillus, Streptococcus, Lactococcus and Pediococcus genera were found in unripened cheese. As ripening proceeded, the species Streptococcus and Lactococcus disappeared and the percentages of the species Enterococcus was unchanged in both containers. There were slight differences between the cheeses ripened in plastic or goat-skin bags in terms of the profiles of lactic acid bacteria isolated. Some species including L. brevis, L. mesenteroides subsp. dextranicum, P. damnosus and E. mundtii were isolated only in the cheeses ripened in plastic bags; however, L. coryniformis and L. malafermentans were isolated only in the cheeses ripened in goat-skin bags at 6 or 9 months of ripening. Also the numbers of E. faecalis isolates were higher in the cheeses ripened in plastic containers than cheeses ripened goat-skin bags at the 6 or 9 months of ripening. The results showed that Lactobacillus and Enterococcus were the predominant species in matured Tulum cheeses in both ripening containers. It seemed possible to produce Tulum cheese with similar characteristics from both the containers used.