Journal articles on the topic 'Stoplist'

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1

Weinberg, Bella Hass. "The history of stoplists: lists of words not indexed." Indexer 42, no. 1 (March 2024): 53–63. http://dx.doi.org/10.3828/index.2023.56.

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The concept of the stoplist – a list of the words not indexed – is related to indexable matter, to the arrangement of subentries in indexes, and to search engine optimization. Stoplists were thought to have been developed in the 1950s in conjunction with automatic indexing, but a fifteenth-century Hebrew concordance to the Bible, Me’ir Nativ , contains a stoplist that is very similar to modern ones, consisting of function words such as prepositions. Since the Hebrew concordance was modeled on the Latin biblical concordance of Arlottus, which does not contain a stoplist, Me’ir Nativ must be regarded as the first example of this structure. Although stopwords were omitted from the earliest Latin concordances (without listing them), subsequent theological debate about the meanings of Latin function words led to the compilation of special concordances of such words. Current research by the author focuses on the importance of similar small words to the Masoretes, who were concerned about preserving an accurate text of the Hebrew Bible, and may possibly have had an index of such words.
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2

Rintyarna, Bagus Setya, Wahyu Nurkholis Hadi Syahputra, Triawan Adi Cahyanto, and Riska Nur Maulida. "Assessing Technique For Mapping Public Response To DKI Jakarta Governor Policy In Handling COVID-19 Pandemic Using SVM BASED Sentiment Analysis." International Applied Science 1, no. 1 (January 30, 2022): 57–66. http://dx.doi.org/10.32528/ias.v1i1.50.

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Since the coronavirus outbreak or known as COVID-19 spread throughout the world, especially in Indonesia. The Governor of DKI Jakarta issued several policies to deal with the spread of COVID-19. However, this policy has become a conversation on social media such as Youtube. Through audience interaction in the comments column, giving lots of positive and negative sentiment comments, the audience response is classified using the sentiment analysis technique of comments to find out which sentiments are positive, negative, and neutral for each comment. In this study, the data were taken from news video comments. The method used is the Support Vector Machine and the selection feature uses the Term Frequency-Inverse Document Frequency (TF-IDF). The data used amounted to 945 Indonesian language comments. Accurate results obtained by using the addition of a stoplist at the preprocessing stage a.
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Mhamed, Mustafa, Richard Sutcliffe, Xia Sun, Jun Feng, Eiad Almekhlafi, and Ephrem Afele Retta. "Improving Arabic Sentiment Analysis Using CNN-Based Architectures and Text Preprocessing." Computational Intelligence and Neuroscience 2021 (September 6, 2021): 1–12. http://dx.doi.org/10.1155/2021/5538791.

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Sentiment analysis is an essential process which is important to many natural language applications. In this paper, we apply two models for Arabic sentiment analysis to the ASTD and ATDFS datasets, in both 2-class and multiclass forms. Model MC1 is a 2-layer CNN with global average pooling, followed by a dense layer. MC2 is a 2-layer CNN with max pooling, followed by a BiGRU and a dense layer. On the difficult ASTD 4-class task, we achieve 73.17%, compared to 65.58% reported by Attia et al., 2018. For the easier 2-class task, we achieve 90.06% with MC1 compared to 85.58% reported by Kwaik et al., 2019. We carry out experiments on various data splits, to match those used by other researchers. We also pay close attention to Arabic preprocessing and include novel steps not reported in other works. In an ablation study, we investigate the effect of two steps in particular, the processing of emoticons and the use of a custom stoplist. On the 4-class task, these can make a difference of up to 4.27% and 5.48%, respectively. On the 2-class task, the maximum improvements are 2.95% and 3.87%.
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4

Sujjada, Alun, and Anggun Fergina. "IMPLEMENTASI METODE VECTOR SPACE MODEL UNTUK DETEKSI EMOSI MENGGUNAKAN DATA TEKS TWITTER." Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer 3, no. 3 (June 30, 2022): 116–29. http://dx.doi.org/10.52005/restikom.v3i3.89.

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Makin maraknya penggunaan jejaring sosial dalam hal ini adalah Twitter, maka menjadikan aplikasi tersebut sebagai big data atau kumpulan data yang sangat besar. Secara tidak langsung penggunaan Twitter akan memberikan dampak, baik itu dampak positif maupun negatif. Salah satu dampak negatif yang terjadi adalah penyalahgunaan dari pengguna, dimana yang awal mulanya digunakan untuk ajang saling berbagi aktivitas keseharian, sekarang berganti untuk promosi kegiatan prostitusi yang berakhir dengan sebuah kejahatan pembunuhan, sehingga muncul penelitian tentang Twitter Forensic untuk menyelidiki kasus seseorang berdasarkan data-data yang terdapat pada Twitter. Penelitian ini adalah sangat penting, karena dengan mengetahui emosi seseorang berdasarkan data posting yang ada di akun Twitter nya, sehingga dapat menambahkan data penunjang untuk kegiatan Twitter Forensic yang memang belum dilakukan sampai saat ini. Beberapa jenis emosi yang dipergunakan pada penelitian ini adalah senang, sedih, dan marah. Salah satu cara untuk mengetahui emosi adalah dengan memanfaatkan kumpulan data Twitter sebagai data latih dan data uji untuk mengklasifikasi emosi pengguna yang dilihat dari status atau tweet yang dipublikasikan menggunakan text mining. Sistem dibuat untuk mengklasifikasikan tweet berdasarkan jenis emosinya. Sebelum mempelajari tweet untuk membentuk model pembelajaran, tweet melalui tahap pemrosesan awal (preproccessing) yang terdiri dari case folding (pengubahan huruf besar menjadi kecil), tokenizing (pemisahan per-kata), dan filtering (karakter dan stoplist). Kemudian menghitung bobot tiap kata dengan metode TF-IDF(Term Frequency- Inverse Document Frequency), serta mengukur tingkat similaritas menggunakan metode VSM (Vector Space Model). Tiga kali pengujian dilakukan dengan total data latih 225 tweet, sebanyak 45 data latih pada pengujian tahap pertama, 75 data latih tahap kedua, dan 105 data latih untuk tahap ketiga. Hasilnya menunjukkan akurasi klasifikasi emosi tweet berkisar antara 65% – 75%.
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5

Rahutomo, Faisal, and Ariadi Retno Tri Hayati Ririd. "Evaluasi Daftar Stopword Bahasa Indonesia." Jurnal Teknologi Informasi dan Ilmu Komputer 6, no. 1 (January 16, 2019): 41. http://dx.doi.org/10.25126/jtiik.2019611226.

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<p class="Abstrak">Pada sistem temu kembali informasi berbentuk teks maupun <em>text mining</em>, terdapat proses pengindeksan. Teks diproses dengan tujuan mengintisarikan informasi berbentuk teks tersebut. Salah satu proses yang dilakukan adalah <em>stopword filtering</em>,<em> </em> beberapa kata yang tidak layak diindeks diabaikan berdasar sebuah daftar. Di dalam sistem berbahasa Indonesia, terdapat beberapa versi daftar <em>stopword</em> yang tersedia bebas. Penelitian ini bertujuan mengevaluasi daftar yang telah tersedia tersebut. Tujuan akhir dari penelitian ini adalah telaah daftar yang tersedia berdasarkan tata bahasa Indonesia, cara penyusunan, dan kebiasaan perambah internet. Dari hasil telaah diperoleh fakta bahwa daftar yang tersedia dibangun dengan analisis frekuensi kemunculan kata pada sebuah korpus (<em>corpus</em>) teks, tanpa memperhatikan jenis kata ataupun kebiasaan pengguna internet. Hasil lain penelitian ini adalah beberapa rekomendasi lebih lanjut bagi para peneliti di bidang ini ketika membutuhkan daftar <em>stopword </em>bahasa Indonesia, yaitu daftar yang memperhatikan jenis kata dan kebiasaan pengguna internet melalui mesin perambah yang tersedia.</p><p class="Abstract"><em><strong>Abstract</strong></em></p><p class="Abstract"><em>Most of text-based information retrieval system uses indexing process. The system processes the texts in order to obtain the information essence. One of the process is stopword filtering, several words are being ignored based on a stopword list. Several Indonesian stopword list are available openly. Therefore, this paper evaluates the available lists based on Indonesian formal grammar, its preparation technique, and internet surfer habit. The results show all of the list are developed by term frequency analysis based on a text corpus. This paper also provides several recommendations for researcher both in text mining and text-based information retrieval field, developing stoplist by the word type and internet surfer habit.</em></p>
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6

Ernst, Pam. "Stoplight Grid." JONA: The Journal of Nursing Administration 19, no. 2 (February 1989): 23???27. http://dx.doi.org/10.1097/00005110-198902010-00005.

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7

Malhas, Laith, and Ki Jinn Chin. "“Stop at the Stoplight." Regional Anesthesia and Pain Medicine 42, no. 1 (2017): 120–21. http://dx.doi.org/10.1097/aap.0000000000000528.

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8

Easton, D. "The stoplight dilemma revisited." Physics Teacher 25, no. 1 (January 1987): 36–37. http://dx.doi.org/10.1119/1.2342143.

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9

Nary, Dorothy E., and Kim Bruns. "Development and Evaluation of the Stoplight Healthy Living Program." Inclusion 7, no. 3 (September 1, 2019): 177–87. http://dx.doi.org/10.1352/2326-6988-7.3.177.

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Abstract To address health disparities of adults with intellectual disability (ID), the Kansas Disability and Health Program developed the Stoplight Healthy Living program to promote good nutrition and increased physical activity. The program is based in part on the Stoplight Diet, which uses a color-coded system to teach healthy food choices. The Stoplight Healthy Living program was tested with two groups recruited through a local disability service provider in Kansas. Evaluation results suggested increases in daily fruit and vegetable consumption after participation in the program as well as increased purchases of healthy foods, reduction in soda consumption, and increased knowledge of healthier fast food meal choices. The program was well-received by participants, and shows promise in supporting good nutrition and health of adults with ID.
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10

Shwetz, S., E. Morrison, A. Drendel, M. Yaskina, M. Rajagopal, A. Estey, and S. Ali. "MP42: Validation of the Stoplight Pain Scale tool in the Canadian emergency setting." CJEM 20, S1 (May 2018): S55—S56. http://dx.doi.org/10.1017/cem.2018.196.

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Introduction: Introduction: A variety of pain assessment tools exist for children, however none of the current scales were created specifically for family use. Further, none provide direct guidance with regards to pain treatment threshold. This study aimed to validate a novel, three faced, coloured coded (red, yellow, green), family-friendly pain tool, the Stoplight Pain Scale, by comparing it to the widely accepted and validated Faces Pain Scale-Revised (FPS-R). This novel tool has the capability to guide families with regards to treatment, as well as measure pain. Methods: Methods: A prospective observational cohort study was conducted at the Stollery Childrens Hospital emergency department (ED) (Edmonton, Alberta) from November, 2014 to February, 2017. Demographic information was collected, and patients (3-12 years) and their caregivers were asked to rate their pain using the novel Stoplight Pain Scale as well as the FPS-R. Pain was measured at presentation to the ED, immediately following painful procedures, and thirty minutes after analgesia administration. Patients and their caregivers also indicated their preferred scale for assessing pain. Results: Results: A purposeful random sample of 227 patients were included for analyses; 61/227 (26.9%) of patients were 3-5 years old and 166/227 (73.1%)were 6-12 years old. 53/227 (23.3%) of patients had been previously hospitalized. Correlation between the two pain scales was consistently fair to moderate; using Kappa Statistics, a baseline correlation for Stoplight and FPS-R was fair for both caregivers (0.38, 95% CI 0.28 0.48) and patients (0.36 95% CI 0.27-0.45). The Stoplight Pain Scale had fair to moderate correlation between caregiver and patient scores, (0.37, 95% CI 0.27-0.47), compared to FPS-R which showed poor to fair agreement between caregiver and child scores (0.20, 95% CI 0.12-0.29). Regardless of age or hospitalization status, 64% of patients (139/218) and 54% caregivers (118/220) preferred the Stoplight Pain scale (p=0.001). Conclusion: Conclusions: The Stoplight Pain Scale correlates moderately well with FPS-R, a validated pain assessment tool for children and shows good correlation between patients and caregivers assessment of reported pain. The Stoplight Pain Scale is a simple, easy to administer tool that may have a role in empowering family involvement in ED pain management. Future research should focus on at-home study of the tool.
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11

Setiawan, Ito. "Risk Management SIMRS using OCTAVE-S Method and ISO/EIC 27001 Control Standards." JATISI (Jurnal Teknik Informatika dan Sistem Informasi) 7, no. 3 (December 18, 2020): 593–600. http://dx.doi.org/10.35957/jatisi.v7i3.336.

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Rumah sakit Wishnu Husada Banyumas sudah menerapakan teknologi informasi dalam proses pelayanan namun permasalah yang muncul dalam penerapan sistem informasi sering terjadi seperti human error, server bermasalah dan risiko lainya. Kurangnya dokumentasi dalam penanganan risiko mengakibatkan risiko yang sama sering terulang kembali dikemudian hari. Tujuan dari penelitian ini adalah melakukan evaluasi risiko menggunakan metode OCTAVE-S dan standar pengendalian mengacu pada ISO 27001 pada Rumah sakit. Penelitian ini adalah penelitian kualitatif dengan menggunakan pendekatan studi kasus. Metode pengumpulan data menggunakan studi literatur dan studi lapangan. Hasil yang dicapai dari penelitian ini yaitu mengetahui aset kritis sistem informasi berupa database server dan juga SIMRS, mengetahui ancaman terhadap aset kritis berupa belum adanya beberapa standar prosedur di 6 bagian praktek keamanan. Terdapat 6 praktek keamanan yang mendapat stoplight warna merah, 9 praktek keamanan stoplight warna kuning dan 1 praktek keamanan stoplight warna hijau mengacu pada metode OCTAVE-S. Rencana mitigasi risiko mengacu pada ISO 27001 untuk membantu pihak rumah sakit memetakan sesuai dengan penilaian praktek keamanan yang telah dilakukan
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12

Martin, Robert L. "“The stoplight on the freeway”." Hearing Journal 57, no. 4 (April 2004): 60. http://dx.doi.org/10.1097/01.hj.0000292422.45244.45.

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13

Laband, David N. "Stoplight sales and sidewalk solicitations." Journal of Economic Behavior & Organization 7, no. 4 (December 1986): 403–14. http://dx.doi.org/10.1016/0167-2681(86)90013-2.

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14

Kim-Spoon, Jungmeen, Rachel Kahn, Kirby Deater-Deckard, Pearl Chiu, Laurence Steinberg, and Brooks King-Casas. "Risky decision making in a laboratory driving task is associated with health risk behaviors during late adolescence but not adulthood." International Journal of Behavioral Development 40, no. 1 (March 24, 2015): 58–63. http://dx.doi.org/10.1177/0165025415577825.

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Adolescence is characterized by increasing incidence of health risk behaviors, including experimentation with drugs and alcohol. To fill the gap in our understanding of the associations between risky decision-making and health risk behaviors, we investigated associations between laboratory-based risky decision-making using the Stoplight task and self-reported health risk behaviors. Given that there has been no examination of potential age differences in the associations between risky decision-making and health risk behaviors, we also examined whether the association of risky decision-making with health risk behaviors is consistent across adolescence and adulthood using two-group structural equation modeling (SEM). The results indicated significant differences across the two age groups: adolescents (17–20 year olds) who took more risks on the Stoplight task reported greater frequency and earlier onset of substance use, whereas stoplight performance was not associated with substance use frequency or onset among adults (31–61 year olds). Our findings suggest that a laboratory-based measure of risky decision-making is significantly related to health risk behaviors among adolescents but not among adults.
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Lempke, Landon Bryce, Robert Lynall, Nicole Hoffman, Hannes Devos, and Julianne Schmidt. "Driving Reaction Time Versus Computerized Reaction Time Deficits Following Concussion: Implications for Return to Driving Recommendations." Neurology 95, no. 20 Supplement 1 (November 16, 2020): S5.1—S5. http://dx.doi.org/10.1212/01.wnl.0000719904.59469.7c.

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ObjectiveTo compare simulated driving reaction time (RT) between concussed and control individuals and examine Driving-RTs relationship with computerized neurocognitive testing RT (CNT-RT).BackgroundConcussed patients have impaired RT and neurocognition following injury that may linger and impair driving performance. Limited research has used direct methods to assess driving-RT post-concussion.Design/MethodsWe employed a cross-sectional laboratory study among 14 concussed and 14 healthy age, sex, and driving experience-matched controls (female: 60%; Age: 20.3 ± 1.1 years). Participants completed driving-RT and CNT-RT (CNS Vital Signs) within 48 hours of asymptomatic (15.9 ± 9.8 days post-concussion). Driving-RT consisted of two simulated driving scenarios: Stoplight (green to yellow stoplight change) and Pedestrian (child running in front of vehicle). CNT-RT outcomes included: simple-, complex-, Stroop-, and composite-RT. Independent t-tests and Hedges' g effect sizes assessed between-group RT differences (seconds), and Pearson correlation coefficients examined relationships between driving-RT and CNT-RT (a = 0.05) outcomes.ResultsConcussed participants demonstrated slower complex-RT than controls (mean difference: 0.06 s; 95% CI: 0.11–0.01; p = 0.03; g = 0.86). No other driving- or CNT-RT outcomes were statistically significant (p = 0.06), but Stoplight- (p = 0.13; g = 0.61) and Pedestrian-RT (p = 0.40; g = 0.36) demonstrated low-to high-magnitude effects for concussed deficits. Complex-, Stroop-, and composite-RT moderately correlated with Stoplight-RT (p 0.05; r range: −0.19 to 0.05).ConclusionsPost-concussion driving- and CNT-RT outcomes overall normalized once asymptomatic, but complex-RT and large magnitude effects may indicate lingering deficits. Driving- and CNT-RT measures moderately correlated with each other, but a lack of strong correlation likely indicates driving responsiveness is not thoroughly assessed using traditional CNT post-concussion, which may have vital driving safety implications.
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Williams, Edith, Christy Heckman, and Liz Millnamow. "“Stoplight for safety” fall prevention program." Geriatric Nursing 25, no. 1 (January 2004): 53–54. http://dx.doi.org/10.1016/j.gerinurse.2003.12.005.

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17

Wadjas, Yann, and Peter G. Furth. "Transit Signal Priority Along Arterials Using Advanced Detection." Transportation Research Record: Journal of the Transportation Research Board 1856, no. 1 (January 2003): 220–30. http://dx.doi.org/10.3141/1856-24.

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This research developed and tested the concept of advanced detection and cycle length adaptation as a strategy for providing priority for transit vehicles. In a departure from control strategies that rely on detection only a few seconds in advance of the stopline, a control algorithm was developed in which transit vehicles are detected two to three cycles in advance of their arrival at an intersection stopline, and phase lengths were then constrained so that the transit-serving phase was green for a 40-s predicted arrival window. Methods were developed for selecting whether to extend or compress phase lengths to shift a green period to cover the arrival window. Adaptive control was combined with actuated control using traffic density and queue length estimation, transit stopline actuation, and peer-to-peer communication for coordination in the peak travel direction. The method was applied by simulation to Boston, Massachusetts’ Huntington Avenue corridor, which is served by a light-rail line running partly in mixed traffic and partly in a median reservation. The prediction/adaptation algorithm resulted in 82% of the trains arriving during the green phase. This control strategy resulted in substantial improvements to transit travel time and regularity with negligible impacts on private traffic and pedestrians, and was found to be more effective than simple preemption.
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Bagdonaite, Laura, and Andrew R. Pearson. "Early Experience with the StopLoss Jones Tube." Orbit 34, no. 3 (April 22, 2015): 132–36. http://dx.doi.org/10.3109/01676830.2015.1014507.

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Creehan, Suzanne M., and Tod C. Brindle. "Stoplight system for pressure ulcer risk assessment." Nursing 41, no. 9 (September 2011): 67. http://dx.doi.org/10.1097/01.nurse.0000403275.14170.4b.

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20

Salvia, Anthony A. "AOQ and AOQL for Stoplight Acceptance Sampling." Journal of Quality Technology 20, no. 3 (July 1988): 157–61. http://dx.doi.org/10.1080/00224065.1988.11979101.

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21

Kremer, Erhard. "Extrapolating the loading of a stoploss treaty." Blätter der DGVFM 23, no. 4 (October 1998): 623–24. http://dx.doi.org/10.1007/bf02808368.

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22

Cowell, Raquel A., Elizabeth R. Paitel, and Sierra Peters. "The Context of Caution: An Examination of Age, Social Context, and Sex on Measures of Inhibitory Control and Risky Decision-Making." International Journal of Aging and Human Development 90, no. 1 (April 1, 2019): 84–103. http://dx.doi.org/10.1177/0091415019836100.

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Understanding how older adults successfully navigate complex choices like driving requires the consideration of processing speed, inhibitory control, attentional processes, and risk management, and the context within which these decisions occur. The current study employed the Flanker task, the Stoplight task, and a personality inventory with 43 younger adults and 49 older adults either while they were alone or being observed by two same-sex, similarly aged peers. On the Flanker task, older adults performed more slowly, but with comparable accuracy. On the Stoplight task, there was a significant main effect of Context, and an Age-Group by Sex interaction, even after controlling for response time: All groups had a greater number of crashes when alone, and young adult males had significantly more crashes than any other group. These results emphasize the importance of considering the broader context of decision-making.
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Mahr, Angela, and Dirk Wentura. "Does a “stoplight!” improve processing a stoplight? Cross-modal influences of time-compressed spoken denotations on automotive icon classification." Journal of Experimental Psychology: Applied 24, no. 1 (March 2018): 92–107. http://dx.doi.org/10.1037/xap0000158.

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Defoe, Ivy N., Judith Semon Dubas, Edwin S. Dalmaijer, and Marcel A. G. van Aken. "Is the Peer Presence Effect on Heightened Adolescent Risky Decision-Making only Present in Males?" Journal of Youth and Adolescence 49, no. 3 (December 20, 2019): 693–705. http://dx.doi.org/10.1007/s10964-019-01179-9.

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AbstractSocial neurodevelopmental imbalance models posit that peer presence causes heightened adolescent risk-taking particularly during early adolescence. Evolutionary theory suggests that these effects would be most pronounced in males. However, the small but growing number of experimental studies on peer presence effects in adolescent risky decision-making showed mixed findings, and the vast majority of such studies did not test for the above-described gender and adolescent phase moderation effects. Moreover, most of those studies did not assess the criterion validity of the employed risky decision-making tasks. The current study was designed to investigate the abovementioned hypotheses among a sample of 327 ethnically-diverse Dutch early and mid-adolescents (49.80% female; Mage = 13.61). No main effect of peer presence on the employed risky-decision making task (i.e., the stoplight game) was found. However, the results showed a gender by peer presence moderation effect. Namely, whereas boys and girls engaged in equal levels of risks when they completed the stoplight game alone, boys engaged in more risk-taking than girls when they completed this task together with two same-sex peers. In contrast, adolescent phase did not moderate peer presence effects on risk-taking. Finally, the results showed that performance on the stoplight game predicted self-reported real-world risky traffic behavior, alcohol use and delinquency. Taken together, using a validated task, the present findings demonstrate that individual differences (i.e., gender) can determine whether the social environment (i.e., peer presence) affect risk-taking in early- and mid-adolescents. The finding that performance on a laboratory risky decision-making task can perhaps help identify adolescents that are vulnerable to diverse types of heightened risk behaviors is an important finding for science as well as prevention and intervention efforts.
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Denisen, Ervin L·. "‘Clare’ Strawberry." HortScience 24, no. 6 (December 1989): 1046. http://dx.doi.org/10.21273/hortsci.24.6.1046.

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Abstract ‘Clare’ is a descendant of ‘Stoplight’, ‘Surecrop’, and ‘Sunrise’ (Fig. 1). Selection Ia. 7-75065, made in 1977, was named ‘Clare’ for my daughter Mary Clare and her grandmother, Clare Peyton. County Clare, Ireland, where I visited in 1985 exploring for breeding material, is an additional reason for the use of Clare.
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Firdaus, Nova Nadia, and Budi Santoso. "ANALISA PRODUKTIVITAS PADA PRODUK STOPLES PLASTIK DENGAN METODE AMERICAN PRODUCTIVITY CENTER (APC) DI PT. XYZ." JUMINTEN 2, no. 2 (March 31, 2021): 60–71. http://dx.doi.org/10.33005/juminten.v2i2.232.

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XYZ merupakan perusahaan yang bergerak di bidang industri stoples plastik yang diantaranya menghasilkan stoples plastik tipe SPR 255 D dan tipe SPR 505 D. Permasalahan yang ada di PT. XYZ mengalami kendala terjadi penyebab pembatasan dalam penggunaan sumber daya input ini meliputi penggunaan bahan baku, jumlah tenaga kerja, penggunaan utilitas energi, serta jumlah output produk yang dihasilkan tersebut kurang baik. Berdasarkan penjelasan diatas maka metode APC (American Productivity Center) diperlukan untuk mengetahui tingkat produktivitas serta memantau produktivitas pada produksi stoples plastik tipe SPR 255 D dan SPR 505 D. Maka hasil penelitian ditunjukkan tingkat produktivitas periode tahun 2018 terhadap tahun 2019 mengalami penurunan perubahan indeks produktivitas total diperoleh sebesar -3,36%. Pada tahun 2020 mengalami penurunan diperoleh sebesar -5,88%. Hasil tingkat profitabilitas periode tahun 2018 terhadap tahun 2019 mengalami peningkatan perubahan indeks profitabilitas total diperoleh sebesar 33,3% Pada tahun 2020 mengalami penurunan diperoleh sebesar -10,68%. Sedangkan hasil tingkat indeks perbaikan harga total periode tahun 2018 terhadap tahun 2019 mengalami peningkatan diperoleh sebesar 1,38. Pada tahun 2020 mengalami penurunan diperoleh sebesar 0,95. Evaluasi Produktivitas ini didapatkan faktor atau penyebab yang mempengaruhi perkembangan tingkat nilai produktivitas diantaranya dari faktor bahan baku disebabkan adanya pemborosan penggunaan bahan baku dan mengalami riject raw material¸ faktor tenaga kerja disebabkan adanya pekerja yang terbatas, kurang disiplinnya karyawan serta operator yang mengalami kelelahan saat bekerja, faktor energi disebabkan adanya konsumsi listrik yang meningkat, faktor modal disebabkan adanya terbatasnya modal yang dikeluarkan oleh perusahaan dan faktor usia mesin yang sering mengalami kerusakan. Kata Kunci: American Productivity Center (APC), Analisa Produktivitas, Evaluasi Produtivitas.
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Paddack, M. J., S. Sponaugle, and R. K. Cowen. "Small-scale demographic variation in the stoplight parrotfishSparisoma viride." Journal of Fish Biology 75, no. 10 (December 2009): 2509–26. http://dx.doi.org/10.1111/j.1095-8649.2009.02451.x.

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28

Berg, Lucretia A. "A red stoplight response to Novak and Honan (2019)." Australian Occupational Therapy Journal 67, no. 2 (April 2020): 195. http://dx.doi.org/10.1111/1440-1630.12640.

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Drees, Holger. "Erhard Kremer: Einführung in die Risikotheorie des Stoploss-Vertrags." Blätter der DGVFM 31, no. 2 (October 2010): 427–28. http://dx.doi.org/10.1007/s11857-010-0111-5.

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30

Castro-Sanguino, Carolina, and Juan A. Sánchez. "Dispersal of Symbiodinium by the stoplight parrotfish Sparisoma viride." Biology Letters 8, no. 2 (September 28, 2011): 282–86. http://dx.doi.org/10.1098/rsbl.2011.0836.

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Environmental reservoirs of zooxanthellae are essential for coral larvae settlement; understanding where they occur and how they are maintained is important for coral reef ecology. This study investigated the dispersal of Symbiodinium spp. by the stoplight parrotfish Sparisoma viride , which had high mean densities of viable and cultivable Symbiodinium (3207–8900 cells ml −1 ) in faeces. Clades A, B and G were detected using amplified chloroplast ribosomal sequences (cp23S-HVR), and corresponded with diet preferences of fish and the environmental Symbiodinium diversity of the region. Cells are constantly dispersed in the water column and deposited in the substrate at a local level (86 ± 17.8 m 2 ), demonstrating that parrotfishes are vectors for short-distance dispersal of zooxanthellae. Such dispersal could constitute a key role in the maintenance of environmental Symbiodinium reservoirs.
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Rivera Hernandez, Jesus M., and Virginia R. Shervette. "Puzzling parrotfishes: Radiocarbon age validation and updated longevity estimates for western Atlantic species in support of sustainable fisheries management." PLOS ONE 19, no. 5 (May 9, 2024): e0302854. http://dx.doi.org/10.1371/journal.pone.0302854.

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For management efforts to succeed in Caribbean fisheries, local fishers must support and be willing to comply with fishing regulations. This is more likely when fishers are included in a stock assessment process that utilizes robust scientific evidence, collected in collaboration with fishers, to evaluate the health of fish stocks. Caribbean parrotfishes are important contributors to coral reef ecosystem health while also contributing to local fisheries. Scientifically robust stock assessments require regional species-specific information on age-based key life history parameters, derived from fish age estimates. Evaluation of the accuracy of age estimation methods for fish species is a critical initial step in managing species for long-term sustainable harvest. The current study resulted from a collaborative research program between fish biologists and local fishers investigating age, growth, and reproductive biology of the seven parrotfish species landed in U.S. Caribbean fisheries; specifically, we validated age estimation for stoplight parrotfish Sparisoma viride and queen parrotfish Scarus vetula. This is the first study to directly validate age estimation for any parrotfish species through analysis of Δ14C from eye lens cores. Our age estimation validation results show that enumeration of opaque zones from thin sections of sagittal otoliths for a Sparisoma and a Scarus species provides accurate age estimates. The oldest stoplight parrotfish and queen parrotfish in the Δ14C age estimation validation series were 14 y and 16 y; while the oldest stoplight parrotfish and queen parrotfish we aged to-date using the Δ14C validated age estimation method were 20 y and 21 y, respectively. Fish longevity (maximum age attained/life span) is a key life history parameter used for estimation of natural mortality, survivorship, and lifetime reproductive output. Past reviews on parrotfishes from the Pacific and Atlantic concluded that most Caribbean/western Atlantic parrotfish species are relatively short-lived with estimated maximum ages ranging from 3–9 y. However, information from our collaborative research in the U.S. Caribbean combined with recently published age estimates for Brazilian parrotfish species indicate that many western Atlantic parrotfishes are relatively long-lived with several species attaining maximum ages in excess of 20 y.
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32

Hadden, Kristie. "The Stoplight Method: A Qualitative Approach for Health Literacy Research." HLRP: Health Literacy Research and Practice 1, no. 2 (April 1, 2017): e18-e22. http://dx.doi.org/10.3928/24748307-20170328-02.

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Novak, Iona, and Ingrid Honan. "Novak and Honan reply to Foley: A red stoplight response." Australian Occupational Therapy Journal 67, no. 3 (April 29, 2020): 281–82. http://dx.doi.org/10.1111/1440-1630.12665.

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34

Chen, Joseph C. "Multi-dimensional Pokayoke-Stoplight Control system in unmanned manufacturing cells." International Journal of Advanced Manufacturing Technology 12, no. 6 (November 1996): 432–41. http://dx.doi.org/10.1007/bf01186932.

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35

Kremer, Erhard. "An Elementary Upper Bound for the Loading of a Stoploss Cover." Scandinavian Actuarial Journal 1990, no. 2-3 (May 1990): 105–8. http://dx.doi.org/10.1080/03461238.1990.10413875.

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36

Kloepper, Kathryn D. "Stoplight Quizzes: A Multilevel Assessment Strategy for Lecture and Laboratory Courses." Journal of Chemical Education 92, no. 3 (December 19, 2014): 509–11. http://dx.doi.org/10.1021/ed500512u.

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37

Nowak, Rafal. "Management of inferior dislocation of a StopLoss Jones tube after conjunctivodacryocystorhinostomy." BMJ Case Reports 13, no. 11 (November 2020): e236003. http://dx.doi.org/10.1136/bcr-2020-236003.

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Persistent epiphora significantly worsens one’s quality of life. A commonly known method of treatment of complete obstruction of the lacrimal canaliculi is conjunctivodacryocystorhinostomy with placement of a glass Jones tube. Unfortunately, the use of such a prosthesis of the lacrimal tract often results in certain complications, the most frequent of which include extrusion or superior and inferior migration. For the last several years, a modified version of the Jones tube—the StopLoss Jones tube (SLJT)—has been available. It almost eliminates the possibility of extrusion. However, inferior migration still remains an important problem. When that happens, it is necessary to proceed surgically. In this paper, we describe an endoscopically-guided technique of management of an inferiorly dislocated SLJT.
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38

Reilly, Mark P., Mark K. Greenwald, and Chris-Ellyn Johanson. "The Stoplight Task: A Procedure for Assessing Risk Taking in Humans." Psychological Record 56, no. 2 (April 2006): 191–203. http://dx.doi.org/10.1007/bf03395544.

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39

Choat, JH, DR Robertson, JL Ackerman, and JM Posada. "An age-based demographic analysis of the Caribbean stoplight parrotfish Sparisoma viride." Marine Ecology Progress Series 246 (2003): 265–77. http://dx.doi.org/10.3354/meps246265.

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40

Moon, Myeong Hee, Hansun Kwon, and Ilyong Park. "Stopless Separation of Proteins by Frit-Inlet Asymmetrical Flow Field-Flow Fractionation." Journal of Liquid Chromatography & Related Technologies 20, no. 16-17 (September 1997): 2803–14. http://dx.doi.org/10.1080/10826079708005593.

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41

Mullen, Joellan, Kayla McKechnie, Christian Niedzwecki, Charlene Baize, Susan Gammon, Brenna Giovannetti, Pamela Lathem, et al. "Stoplight Mobility Alert System (SMAS): Communication of Mobility Status for Falls Prevention." Archives of Physical Medicine and Rehabilitation 96, no. 10 (October 2015): e34. http://dx.doi.org/10.1016/j.apmr.2015.08.109.

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42

Guo, Yongwei, Konrad R. Koch, and Ludwig M. Heindl. "Transcaruncular laser-assisted StopLoss Lester Jones tube surgery for lacrimal canalicular obstructions." Graefe's Archive for Clinical and Experimental Ophthalmology 257, no. 7 (May 1, 2019): 1569–70. http://dx.doi.org/10.1007/s00417-019-04331-0.

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43

Anggola Eriyana, Rivaldho, and Ahmad Zul Afafa. "RANCANG BANGUN ALAT PUBLIC ANNOUNCER DAN SENSOR LASER GUNA MENGURANGI PELANGGARAN MARKA STOPLINE." RISTEK : Jurnal Riset, Inovasi dan Teknologi Kabupaten Batang 5, no. 1 (November 5, 2020): 50–64. http://dx.doi.org/10.55686/ristek.v5i1.90.

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Kecelakaan lalu lintas merupakan suatu peristiwa di jalan yang tidak diduga dan tidakdisengaja melibatkan korban manusia dan/atau kerugian harta benda, Faktor paling utamaterjadinya kecelakaan lalu lintas di Indonesia yaitu karena manusia atau berupa pelanggaranlalu lintas. Salah satu pelanggaran yang sering terjadi yaitu pelanggaran marka, khususnyamarka stopline.alat public announcer yang dilengkapi dengan sensor laser dirancang untuk mendeteksipelanggaran marka stopline sehingga harapannya Ketika diterapkan nanti dapa membantumengurangi jumlah angka pelanggaran lalu lintas khususnya marka stopline.Metode Research and Development atau penelitian dan pengembangan adalah metodepenelitian digunakan untuk menghasilkan produk dan dan penyempurnakan produk.Menguji keaktifan produk yang dapat digunakan penelitian bersifat analisis kebutuhan.Pengembangan dari alat public announcer yang dilengkapi dengan sensor laser harus perludilakukan supaya alat ini bisa mengimplementasikan isi dari UU Nomor 22 Tahun 2009untuk memberikan sanksi maupun denda kepada para pelanggar marka khususnya markastopline.
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Moon, Myeong Hee, Hansun Kwon, and Ilyong Park. "Stopless Flow Injection in Asymmetrical Flow Field-Flow Fractionation Using a Frit Inlet." Analytical Chemistry 69, no. 7 (April 1997): 1436–40. http://dx.doi.org/10.1021/ac960897b.

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45

Lee, Seungho, Marcus N. Myers, and J. Calvin Giddings. "Hydrodynamic relaxation using stopless flow injection in split inlet sedimentation field-flow fractionation." Analytical Chemistry 61, no. 21 (November 1989): 2439–44. http://dx.doi.org/10.1021/ac00196a023.

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46

Chen, Joseph C., and J. T. Black. "A fuzzy logic based approach for pokayoke stoplight control in unmanned manufacturing cells." Journal of Manufacturing Systems 15, no. 1 (January 1996): 33–42. http://dx.doi.org/10.1016/0278-6125(96)84213-0.

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47

Cardwell, J. R., and N. R. Liley. "Hormonal control of sex and color change in the stoplight parrotfish, Sparisoma viride." General and Comparative Endocrinology 81, no. 1 (January 1991): 7–20. http://dx.doi.org/10.1016/0016-6480(91)90120-u.

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48

Yang, Yvonne S., and Thomas E. Hughes. "Cre Stoplight: A Red/Green Fluorescent Reporter of Cre Recombinase Expression in Living Cells." BioTechniques 31, no. 5 (November 2001): 1036–41. http://dx.doi.org/10.2144/01315st03.

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49

Tanner, Lynn, Susan Sencer, and Mary C. Hooke. "The Stoplight Program: A Proactive Physical Therapy Intervention for Children With Acute Lymphoblastic Leukemia." Journal of Pediatric Oncology Nursing 34, no. 5 (April 29, 2017): 347–57. http://dx.doi.org/10.1177/1043454217698093.

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50

Moon, Myeong Hee, Marcus N. Myers, and J. Calvin Giddings. "Evaluation of pinched inlet channel for stopless flow injection in steric field-flow fractionation." Journal of Chromatography A 517 (September 1990): 423–33. http://dx.doi.org/10.1016/s0021-9673(01)95738-3.

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