Facilities Redesign of Stockroom at Elcon Precision

Elcon Precision is a company based out of San Jose, California specializing in the photochemical processing of materials and brazing of metals and ceramics for a variety of different industries. Three students from the Industrial Engineering Department at California Polytechnic State University, San Luis Obispo were contacted by Elcon Precision to help redesign their stockroom and inventory areas in their San Jose location in order to allow for the future growth of the company. Elcon asked the Cal Poly project team to help increase efficiencies throughout the stockroom by creating an alternative layout that best suited the company\u27s needs. This report will provide an in depth analysis of the Cal Poly project team\u27s approach to achieve a more efficient layout for the Elcon Precision stockroom

The accuracy of the MMSE in detecting cognitive impairment when administered by general practitioners: A prospective observational study

<p>Abstract</p> <p>Background</p> <p>The Mini-Mental State Examination (MMSE) has contributed to detecting cognitive impairment, yet few studies have evaluated its accuracy when used by general practitioners (GP) in an actual public-health setting.</p> <p>Objectives</p> <p>We evaluated the accuracy of MMSE scores obtained by GPs by comparing them to scores obtained by Alzheimer's Evaluation Units (UVA).</p> <p>Methods</p> <p>The study was observational in design and involved 59 voluntary GPs who, after having undergone training, administered the MMSE to patients with symptoms of cognitive disturbances. Individuals who scored ≤ 24 (adjusted by age and educational level) were referred to Alzheimer's Evaluation Units (UVA) for diagnosis (including the MMSE). UVAs were unblinded to the MMSE score of the GP. To measure interrater agreement, the weighted Kappa statistic was calculated. To evaluate factors associated with the magnitude of the difference between paired scores, a linear regression model was applied. To quantify the accuracy in discriminating no cognitive impairment from any cognitive impairment and from Alzheimer's disease (AD), the ROC curves (AUC) were calculated.</p> <p>Results</p> <p>For the 317 patients, the mean score obtained by GPs was significantly lower (15.8 vs. 17.4 for the UVAs; p < 0.01). However, overall concordance was good (Kappa = 0.86). Only the diagnosis made by the UVA was associated with the difference between paired scores: the adjusted mean difference was 3.1 for no cognitive impairment and 3.8 for mild cognitive impairment. The AUC of the scores for GPs was 0.80 (95%CI: 0.75–0.86) for discriminating between no impairment and any impairment and 0.89 (95%CI: 0.84–0.94) for distinguishing patients with AD, though the UVA scores discriminated better.</p> <p>Conclusion</p> <p>In a public-health setting involving patients with symptoms of cognitive disturbances, the MMSE used by the GPs was sufficiently accurate to detect patients with cognitive impairment, particularly those with dementia.</p

Change My Mind: how Syntax-based Hate Speech Recognizer can Uncover Hidden Motivations based on Different Viewpoints

Hate speech recognizers may mislabel sentences by not considering the different opinions that society has on selected topics. In this paper, we show how explainable machine learning models based on syntax can help to understand the motivations that induce a sentence to be offensive to a certain demographic group. To explore this hypothesis, we use several syntax-based neural networks, which are equipped with syntax heat analysis trees used as a post-hoc explanation of the classifications and a dataset annotated by two different groups having dissimilar cultural backgrounds. Using particular contrasting trees, we compared the results and showed the differences. The results show how the keywords that make a sentence offensive depend on the cultural background of the annotators and how this differs in different fields. In addition, the syntactic activations show how even the sub-trees are very relevant in the classification phase

Syntax and prejudice: ethically-charged biases of a syntax-based hate speech recognizer unveiled

Hate speech recognizers (HSRs) can be the panacea for containing hate in social media or can result in the biggest form of prejudice-based censorship hindering people to express their true selves. In this paper, we hypothesized how massive use of syntax can reduce the prejudice effect in HSRs. To explore this hypothesis, we propose Unintended-bias Visualizer based on Kermit modeling (KERM-HATE): a syntax-based HSR, which is endowed with syntax heat parse trees used as a post-hoc explanation of classifications. KERM-HATE significantly outperforms BERT-based, RoBERTa-based and XLNet-based HSR on standard datasets. Surprisingly this result is not sufficient. In fact, the post-hoc analysis on novel datasets on recent divisive topics shows that even KERM-HATE carries the prejudice distilled from the initial corpus. Therefore, although tests on standard datasets may show higher performance, syntax alone cannot drive the ‘‘attention“ of HSRs to ethically-unbiased features

Convegno "Centri storici solidali. Strategie e strumenti per un possibile ritorno."

CONVEGNO CONCLUSIVO DEL PROGETTO FARB 2016 DIPARTIMENTO DI ARCHITETTURA E STUDI URBANI, POLITECNICO DI MILANO: E/MIGRATE. CENTRI STORICI SOLIDALI. IL RECUPERO DEL PATRIMONIO CULTURALE PER UN’ACCOGLIENZA SOSTENIBIL

Every Time I Fire a Conversational Designer, the Performance of the Dialogue System Goes Down

Incorporating handwritten domain scripts into neural-based task-oriented dialogue systems may be an effective way to reduce the need for large sets of annotated dialogues. In this paper, we investigate how the use of domain scripts written by conversational designers affects the performance of neural-based dialogue systems. To support this investigation, we propose the Conversational-Logic-Injection-in-Neural-Network system (CLINN) where domain scripts are coded in semi-logical rules. By using CLINN, we evaluated semi-logical rules produced by a team of differently-skilled conversational designers. We experimented with the Restaurant domain of the MultiWOZ dataset. Results show that external knowledge is extremely important for reducing the need for annotated examples for conversational systems. In fact, rules from conversational designers used in CLINN significantly outperform a state-of-the-art neural-based dialogue system when trained with smaller sets of annotated dialogues

[Health and disability in the elderly: old paradigms and future prospects]

The projections regarding the ageing of the Italian population are cause for great concern; however, the ageing scenario may actually be interpreted in a more optimistic way. Theories formulated in the 80s envisaging a decline of mortality, morbidity and disability in the elderly are now confirmed and prefigure an unexpected decrease in disability rates in the elderly population. The aim of this review is to attempt to explain the reasons for this by analyzing the role played by the various determinants of health, in particular social isolation, which are likely to play an important role in the future as well

Salute e disabilità nell'anziano, tra vecchi paradigmi ed un nuovo sorprendente futuro

The projections regarding the ageing of the Italian population are cause for great concern; however, the ageing scenario may actually be interpreted in a more optimistic way. Theories formulated in the 80s envisaging a decline of mortality, morbidity and disability in the elderly are now confirmed and prefigure an unexpected decrease in disability rates in the elderly population. The aim of this review is to attempt to explain the reasons for this by analyzing the role played by the various determinants of health, in particular social isolation, which are likely to play an important role in the future as well

Prevenzione e controllo della tubercolosi nelle strutture ospedaliere: il nuovo protocollo operativo dell’azienda Policlinico “Umberto I”

Abstract The aim of this contribution is to explain a recent tubercolosis "prevention and control" program in health care workers. The same program was implemented in an university hospital since 2007, and revised in 2011 as a result of a new Mycobacterium tubercolosis exposure assessment in the different works environment