Produksi Gas Hidrogen Dari Limbah Alumunium Dan Uji Daya Listrik Dengan Fuel Cell

Teknologi Fuel Cell adalah teknologi masa depan yang ramah lingkungan. Bahan baku untuk fuel cell adalah hidrogen. Produksi hidrogen dari limbah alumunium dan storage telah dilakukan. Penelitian ini bertujuan untuk memanfaatkan limbah alumunium (alumunium foil dan kaleng minuman) yang direaksikan dengan larutan beralkalin untuk menghasilkan hidrogen. Hidrogen yang dihasilkan sebanding dengan tekanan yang terukur yang diukur dengan CASSY LAB Version 1.41. Hasilnya adalah: a. Semakin tinggi konsentrasi NaOH (5 %, 10 % dan 15 %) semakin cepat reaksi produksi hidrogen berlangsung. b. Jumlah limbah alumunium yang berbeda (0,01 g, 0,05 g dan 0,10 g) kurang berpengaruh terhadap waktu reaksi jika konsentrasi NaOHnya sama. c. Temperatur yang dihasilkan berkisar antara 27 oC - 33,7 oC, semakin banyak jumlah alumunium yang direaksikan semakin tinggi temperatur yang dihasilkan. d. Daya listrik yang dihasilkan dari 0,10 gram alumunium foil adalah sebesar 45-51 watt dengan daya rata-rata 0,08 watt per detik. e. Daya listrik yang dihasilkan dengan kaleng Coca Cola adalah sebesar 12,13 watt dengan daya rata-rata 0,009 watt per detik

IV Estimation of Panels with Factor Residuals

This paper proposes a new instrumental variables approach for consistent and asymptotically effi cient estimation of panel data models with weakly exogenous or endogenous regressors and residuals generated by a multifactor error structure. In this case, the standard dynamic panel estimators fail to provide consistent estimates of the parameters. The novelty of our approach is that we introduce new parameters to represent the unobserved covariances between the instruments and the factor component of the residual; these parameters are estimable when N is large. Some important estimation and identi cation issues are studied in detail. The fi nite sample performance of the proposed estimators is investigated using simulated data. The results show that the method produces reliable estimates of the parameters over several parametrisations

The role of inclusions in ALS pathogenesis

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease that primarily afflicts motor neurons, leading to paralysis and death within 3 to 5 years after diagnosis. Genetic studies have uncovered multiple genetic defects causing familial forms of ALS and mutations occurring in proteins with a variety of functions, including RNA metabolism (TDP43, FUS) and oxygen free radical homeostasis (SOD1). A commonality among all ALS forms is the presence of intracellular inclusions that primarily consist of insoluble protein aggregates. These inclusions indicate that protein aggregation is a central pathogenic event shared by multiple ALS forms. The research of the present thesis focuses on the role of protein aggregation and inclusion formation in two types of ALS: 1) ALS caused by mutations in the superoxide dismutase 1 (SOD1) gene (ALS1); and 2) ALS caused by mutations in the vesicle-associated membrane protein (VAMP)-associated protein B (VAPB) gene (ALS8)

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images.

Alzheimer's Disease (AD) is a progressive neurodegenerative disease where biomarkers for disease based on pathophysiology may be able to provide objective measures for disease diagnosis and staging. Neuroimaging scans acquired from MRI and metabolism images obtained by FDG-PET provide in-vivo measurements of structure and function (glucose metabolism) in a living brain. It is hypothesized that combining multiple different image modalities providing complementary information could help improve early diagnosis of AD. In this paper, we propose a novel deep-learning-based framework to discriminate individuals with AD utilizing a multimodal and multiscale deep neural network. Our method delivers 82.4% accuracy in identifying the individuals with mild cognitive impairment (MCI) who will convert to AD at 3 years prior to conversion (86.4% combined accuracy for conversion within 1-3 years), a 94.23% sensitivity in classifying individuals with clinical diagnosis of probable AD, and a 86.3% specificity in classifying non-demented controls improving upon results in published literature

Анализ влияния теории информационных каскадов и стадного поведения агентов на формирование финансовых пузырей

Розглянуто питання формування фінансових бульбашок на основі ірраціональної поведінки економічних агентів та теорії інформаційних каскадів. Наведено базову модель інформаційних каскадів, характеристику та етапи утворення фінансових бульбашок. Ключові слова: прийняття рішень, стадна поведінка, фінансові ринки, інформаційний каскад, фінансові бульбашки.Рассмотрены вопросы формирования финансовых пузырей на основе иррациональных подходов стадного поведения экономических агентов и теории информационных каскадов. Приведена базовая модель информационных каскадов, характеристика и этапы образования финансовых пузырей. Ключевые слова: принятие решений, стадное поведение, финансовые рынки, информационный каскад, финансовые пузыри.The paper deals with formation of bubbles on the basis of irrational approaches of herd behaviour of the economic agents and the theory of information cascades. A basic model of information cascades is presented, as well as characteristics and stages in formation of financial bubbles. Keywords: decision making, herd bahaviour, financial markets, information cascade, financial bubbles

Airway dimensions and pathologies of trumpet players vs. non-trumpet players.

Objective: The objective of this retrospective, 3-dimensional cone beam computed tomography study was to determine if there is a significant difference between the most constricted area of the airway, the prevertebral soft tissue thickness and airway dimensions (length and volume) of the nasal cavity, nasopharynx, oropharynx, and maxillary sinuses of university trumpet players versus non-trumpet playing controls. The second objective was to determine significant differences in the prevalence of airway pathologies between university trumpet players and controls. Method: Following IRB approval and consent and reliability studies, measurements of airway parameters and pathology were compared between 66 Caucasian trumpeters and 22 ethnicmatched controls. An analysis of covariance, with age and sex included as covariates, was used to compare the airway measures. Since there was a significant difference in gender and age, comparisons between groups for the presence of any airway pathologies was made using logistic regression including age and sex as covariates. A 5% significance level was used for all comparisons. Result: The trumpet players had significantly smaller nasal cavity volume (18028 + 595 mm3 vs. 25266 + 1116 mm3; p<0.0001) and significantly greater soft tissue thickness at CV2ia (3.29 + 0.10 mm vs 2.70 + 0.10 mm; p=0.03) and CV3sa (4.55 + 0.13 mm vs 3.74 + 0.14 mm; p=0.005) than the controls. No other airway measure demonstrated a significant difference between the two groups. Trumpeters had significantly (p=0.002) more airway pathology (n=33; 50%) than the controls (n=4; 18%). Antral pseudocysts or polyps composed 52% of trumpeter pathologies as compared with 0% controls. Conclusion: The only significant differences in airway dimensions between trumpet players and controls were decreased nasal cavity volume and some areas of prevertebral soft tissue thickness. Trumpeters were almost three times as likely to exhibit airway pathology when compared with controls. Funding: IUPUI Signature Center Initiative – 3D Imaging of the Craniofacial Complex Center and the Joseph and Aida Jarabak Endowed Professorship

Effect of Mixing Fine Sand on the Drained Shear Strength of Completely Decomposed Granite Soil.

Experimental test results presented in this paper were from a series of triaxial compression tests studied under drained conditions for Completely Decomposed Granite (CDG) soil mixed with fine sand content of (0, 10, 20, 30, and 40%). The CDG soil showed high compressibility during isotropic consolidation, probably due to the use of the moist tamping method and the effect of weathering degree on the soil structure. The tests results produced a unique Critical State Line (CSL) in the e-lnp&#61602; plane, and these lines were parallel for each mixture and moved downward with increasing fine sand content. The fine sand content, at which the intergranular void ratio of the CDG-fine sand mixture became equal to emax for plain CDG soil, was named as Transition Fine Sand Content (TFSC), which occurred at 20-30% fine sand content. Normalization of the critical state stresses showed that for the samples with low P&#61602;/P&#61602;c between 0.58 and 0.65 (i.e. the CDG soil mixed with fine sand), the stress paths moved directly towards the critical state without passing through the boundary surface of the soil mixture, which revealed the impact of the fine sand addition to the CDG soil structure, reflecting an improvement in the soil strength behavior by developing a strong interlocking among the particles of the mixture. It was also observed that a small portion of stress paths could pass through the boundary of Hvorslev surface in the case of low fine sand content (&#8804; 10 %) and the boundary of Hvorslev surface observed clearly in the case of plain CDG soil. The friction angle increased at steady state from 28&#61616;- 32.6&#61616;, and the cohesion decreased from 15 to 8.3 kN/m2 with increasing fine sand content. A comparison of critical state parameters and strength properties between weathered granite CDG soil from Malaysia and Hong Kong were also made and summarized in this study

Occurrence of Eimeria species parasites on small-scale commercial chicken farms in Africa and indication of economic profitability.

Small-scale commercial poultry production is emerging as an important form of livestock production in Africa, providing sources of income and animal protein to many poor households, yet the occurrence and impact of coccidiosis on this relatively new production system remains unknown. The primary objective of this study was to examine Eimeria parasite occurrence on small-scale commercial poultry farms in Ghana, Tanzania and Zambia. Additionally, farm economic viability was measured by calculating the farm gross margin and enterprise budget. Using these economic measures as global assessments of farm productivity, encompassing the diversity present in regional husbandry systems with a measure of fundamental local relevance, we investigated the detection of specific Eimeria species as indicators of farm profitability. Faecal samples and data on production parameters were collected from small-scale (less than 2,000 birds per batch) intensive broiler and layer farms in peri-urban Ghana, Tanzania and Zambia. All seven Eimeria species recognised to infect the chicken were detected in each country. Furthermore, two of the three genetic variants (operational taxonomic units) identified previously in Australia have been described outside of Australia for the first time. Detection of the most pathogenic Eimeria species associated with decreased farm profitability and may be considered as an indicator of likely farm performance. While a causal link remains to be demonstrated, the presence of highly pathogenic enteric parasites may pose a threat to profitable, sustainable small-scale poultry enterprises in Africa