1,721,430 research outputs found
Data Set for Consumer Electronics MFA in Althaf et al 2020 JIE manuscript
No full textThis data set includes all the data used in the MFA model and the figures presented in JIE manuscript ' The evolution of consumer electronic waste in the U.S' by Althaf et al (2020)
Shahana-Althaf/Comprehensive-Material-Flow-Model-For-Electronics-: Baseline Material Flow Model For Electronics- Version 1.0.0
No full textA comprehensive MFA model to estimate consumption and waste flows of electronic products and associated materials from past to present
Analisis Pendapatan USAha Abon Ikan Tenggiri Pada Industri Rumah Tangga “Althaf Food”di Kota Palu
Get PDFFish is quickly undergoing spoiled. Therefore the community process fish to several alternatives forms such as fish floss. Home industry “Althaf Food” produces fish floss from mackerel. Located in ulujadi sub-district Palu City.The purpose of this study was to analyse the income of “Althaf Food”. The owner and employee from the production department were selected as respondents. The income was analysed from the interview data. The study showed that the “Althaf Food” produces fish floss got income amounting to 1,638,612 IDR in four times of a month
Physics-informed neural network for damage identification in railroad bridges
No full textSubmission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-05-01The student, Shaik Althaf Veluthedath Shajihan, accepted the attached license on 2024-04-15 at 12:19.The student, Shaik Althaf Veluthedath Shajihan, submitted this Thesis for approval on 2024-04-15 at 12:55.This Thesis was approved for publication on 2024-04-25 at 14:21.DSpace SAF Submission Ingestion Package generated from Vireo submission #20410 on 2024-09-16 at 00:49:21Railroad bridges are a crucial component of the U.S. freight rail system which accounts for moving more than 40 percent of freight in the country, playing a critical role in the U.S. economy. The aging infrastructure coupled with the increasing train traffic poses a safety hazard and risks disruption of services. While identifying damages and performing holistic assessments of railroad bridges remain challenging tasks. This research proposes a physics-informed neural network (PINN) based approach for damage identification and model updating of truss railroad bridges. The proposed framework adopts an unsupervised learning method, leveraging train wheel loads and measured responses at bridge nodes as inputs. The PINN model explicitly incorporates the governing differential equations of system dynamics using a recurrent neural network (RNN) based architecture with a custom Runge-Kutta 4th order (RK-4) integrator cell. This approach enables the identification of damage ratios and localization of damaged members in the bridge. To validate the performance of the proposed approach, a case study is conducted on the Calumet bridge in Chicago, utilizing a simplified 2D model with simulated damage scenarios. The results demonstrate the model’s ability to accurately identify and quantify damage under various conditions while maintaining low false-positive rates. Furthermore, the proposed updating pipeline is designed to seamlessly incorporate prior knowledge gathered from site inspections and drone surveys, enabling a context-aware updating and assessment of bridge’s condition
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
PENGARUH RECREATION BENEFIT DAN RECREATION EXPERIENCE TERHADAP REVISIT INTENTION (Survei pada partisipan Rafting di Gravity Adventure)
Get PDFDimas Fikri Kusshofwan Althaf (1607703) “Pengaruh Recreation Benefit Dan Recreation Experience Terhadap Revisit Intention” (Survei pada partisipan Rafting di Gravity Adventure) di bawah bimbingan Dr. Vanessa Gaffar, SE.Ak.,MBA dan Oce Ridwanudin, S.E., MM. Penelitian ini bertujuan untuk menganalisis adanya pengaruh recreation benefit yang terdiri atas relaxation, excitement, dan social benefit serta recreation experience yang terdiri atas self-esteem, concentration, calmness, dan anxiety terhadap revisit intention di Gravity Adventure. Metode yang digunakan dalam penelitian ini adalah explanatory survey dengan pendekatan cross sectional method. Penelitian ini dilakukan dengan menyebarkan kuisioner online dan offline kepada partisipan yang sudah pernah rafting menggunakan jasa Gravity Adventure. Sebanyak 112 sampel yang dikumpulkan. Teknik analisis data yang digunakan adalah regresi linear berganda. Hasil penelitian menunjukkan bahwa Recreation Benefit dan Recreation Experience memiliki pengaruh yang signifikan terhadap revisit intention. Pengaruh terbesar pada revisit intention di Gravity Adventure adalah Recreation Benefit. Pengaruh terendah pada revisit intention adalah Recreation Experience. Salah satu aspek yang perlu ditingkatkan adalah edukasi pemahaman jalur pada partisipan. Dimas Fikri Kusshofwan Althaf (1607703) "The Influence of Recreation Benefit and Recreation Experience on Revisit Intention” (Survey on Rafting participants in Gravity Adventure) under the guidance of Dr. Vanessa Gaffar, SE.Ak., MBA and Oce Ridwanudin, S.E., MM. This study aims to analyze the influence of recreation benefits consisting of relaxation, excitement and social benefits as well as recreation experience which consists of self-esteem, concentration, calmness, and anxiety on revisit intention in Gravity Adventure. The method used in this research is explanatory survey with cross sectional method approach. This research was conducted by distributing online and offline questionnaires to participants who had rafting using Gravity Adventure services. A total of 112 samples were collected. The data analysis technique used is multiple linear regression. The results showed that Recreation Benefit and Recreation Experience had a significant influence on revisit intention. The biggest influence on revisit intention in Gravity Adventure is Recreation Benefit. The lowest effect on revisit intention is the Recreation Experience. One aspect that needs to be improved is rafting pathway education to participants
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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