Towards co-sintering of oxide-based inorganic solid-state batteries. Understanding and overcoming thetemperature barriers.

220 p.All inorganic solid-state batteries (SSBs) are considered the batteries of the future because of their superior energy density and safety. Their commercialization is in its infancy since further understanding of the materials and processing aspects is still required. Here we propose an oxide-based SSB model comprising NMC+LATP+carbon composite cathode, LATP solid electrolyte, and Li metal anode able to potentially convey an energy density of >300 Wh/kg and >700 Wh/l. A review of existing processing techniques of the selected materials indicates the necessity of very high densification temperatures to assure sufficient ionic conductivity and mechanical stability. The electrode and electrolyte need to be co-densified to avoid interfacial contact resistance, but the components of the composite cathode react at these elevated temperatures. In this work, the composite cathode thermal compatibility is first studied to determine the tolerance of the system under temperature, considering also the heating atmosphere and the decomposition reaction mechanism. In a second step, mitigation strategies to overcome the threshold limits identified have been examined, such as the selection of the carbon conducting additive and the impact of other additives. On the other hand, the realization that the threshold temperature is much lower than the conventional processing temperature requires the exploration of alternative low-temperature densification techniques. Hence a high-pressure low-temperature (HPLT) technique has been identified and initially investigated for oxide-based ceramic solid electrolyte densification. Our results show that this technique enables a significant reduction of the processing temperature and time compared to conventional sintering. Finally, preliminary investigations indicate that with further exploration of the HPLT technique, the realization of the proposed SSB model should be possible, resulting in significant gains of processing consumed energy.energiGUN

Gender in Shakespeare: Automatic Stylistics Gender Character Classification Using Syntactic, Lexical and Lemma Features

For a variety of text types, methods for automatically determining the gender of a document’s author can now reliably achieve accuracy of at least 70-80%. Our aim here is to extend this research, to examine determining the gender of literary characters from the author’s differing word use between characters of different genders. Here we describe results showing how Shakespeare used language differently for his male and female characters, and we have studied the top discriminating features from characters of both genders. We used Sequential Minimal Optimization (SMO) to classify of gender character, based on various lexical and syntactic features to analyze the language Shakespeare used for gendering characters. Our methods achieve classification accuracy as high as 82 % for classifying character gender. We further observe several interesting patterns in the most distinguishing features, including the fact that some constellations of features match well to previous reports of features that distinguish between male and female authors.

Stylistic text classification using functional lexical features

Most text analysis and retrieval work to date has focused on determining the topic of a text, what it is about. However, a text also contains much useful information in its style, or how it is written. This includes information about its author, its purpose, feelings it is meant to evoke, and more. This paper addresses the problem of classifying texts by style (along several different dimensions), developing a new type of lexical feature based on taxonomies of various semantic functions of different lexical items (words or phrases). We show the usefulness of such features for text classification by author, author personality, gender of literary characters, sentiment (positive/negative feeling), and scientific rhetorical styles. We further show how the use of such functional features aids in gaining insight about stylistic differences between texts. ∗ Casey Whitelaw was a visiting scholar at the IIT Linguistic Cognition Laboratory during November 2004. 1

The impact of 68Gallium DOTA PET/CT in managing patients with sporadic and familial pancreatic neuroendocrine tumours

OBJECTIVE: Pancreatic neuroendocrine tumours (panNETs) arise sporadically or as part of a genetic predisposition syndrome. CT/MRI, endoscopic ultrasonography and functional imaging using Octreoscan localise and stage disease. This study aimed to evaluate the complementary role of (68)Gallium ((68)Ga)-DOTA PET/CT in managing patients with panNETs. DESIGN: A retrospective study conducted across three tertiary UK NET referral centres. METHODS: Demographic, clinical, biochemical, cross-sectional and functional imaging data were collected from patients who had undergone a (68)Ga-DOTA PET/CT scan for a suspected panNET. RESULTS: We collected data for 183 patients (97 male): median (SD) age 63 (14.9) years, 89.1 vs. 9.3% (n=163 vs. 17) alive vs. dead (3 data missing), 141 sporadic vs. 42 familial (MEN1, n=36; 85.7%) panNETs. Non-functional vs. functional tumours comprised 73.2 vs. 21.3% (n=134 vs. 39) (10 missing). Histological confirmation was available in 89% of individuals (n=163) but tumour grading (Ki67 classiifcation) was technically possible only in a smaller cohort (n=143): grade 1, 50.3% (n=72); grade 2, 46.2% (n=66) and grade 3, 3.5% (n=5) (40 histopathological classification either not technically feasible or biopsy not perfomed). 60.1% (n=110) were localised, 14.2% (n=26) locally advanced and 23.5% (n=43) metastatic (4 missing). 224 (68)Ga-DOTA PET/CT scans were performed in total for: diagnosis/staging 40% (n=88), post-operative assessment/clinical surveillance 53% (n=117) and consideration of peptide receptor radionuclide therapy (PRRT) 8% (n=17) (2 missing). PET/CT results confirmed other imaging findings (53%), identified new disease sites (28.5%) and excluded suspected disease (5%). Overall, (68)Ga-DOTA PET/CT imaging findings provided additional information in 119 (54%) patients and influenced management in 85 (39%) cases. CONCLUSION: (68)Ga-DOTA PET/CT imaging more accurately stages and guides treatment in patients with sporadic/familial panNETs with newly diagnosed/recurrent disease