Evaluating vision-language models long-chain reasoning ability with multiple ground truths by Setiadharma, Christopher Arif

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Revealing the existence of long-range liquid-liquid interfacial potential in phase-transfer processes by Ow, Matthew Jun Kit, Yeow, Edwin Kok Lee

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Manual laterality, grip types and tool use styles of andaman long-tailed macaques. by Tan, Say Hoon.

“…The relationship between handedness, grip type, food type, tool use style, tool sizes, and bout characteristics were examined amongst a group of Andaman long-tailed macaques. Coding from videotapes was done to obtain data. …”
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Nonverbal communication cues of bank CEOs and long term performance during financial crisis. by Goh, Le Min., Liang, Sihui., Lim, Shi Bin.

“…Standardised earnings surprise, amount of TARP money borrowed, duration of TARP money borrowed, as well as probability of getting into TARP, are used as long term performance measures to determine the predictability effect of each non-verbal observation on the financial performance of each company. …”
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Characterizing the spectrum of slip behavior at the Sumatran subduction zone with long-term geodetic records by Tsang, Louisa Lok Hang

“…First, from an ~1100-year-long paleogeodetic record at Simeulue Island, I discover that time-variable vertical deformation rates can be explained by changes in interseismic fault coupling over time. …”
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Screening for older inpatients at risk for long length of stay : which clinical tool to use? by Beauchet, Olivier, Fung, Shek, Launay, Cyrille P., Cooper-Brown, Liam Anders, Afilalo, Jonathan, Herbert, Paul, Afilalo, Marc, Chabot, Julia

“…Background: Screening for inpatients at risk for long length of stay (LOS) is the first step of an effective hospital care plan for older inpatients. …”
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The novel application of the lightning process to treat long COVID in primary care: case report by Finch, Fiona, Parker, Phil, Nollett, C., Burns, S.

“…As a result of the COVID-19 pandemic, Long COVID (LC) is now prevalent in many countries. …”
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Long-term outcomes in thoracic aortic surgery: 11 year single centre experience by Staniforth, E, Ttofi, I, Ttofi, J, Perinparajah, V, Vijjhalwar, R, Uberoi, R, Sideso, E, Dubey, S, Krasopoulos, G

Knocking down MEG3 long non-coding RNA to Counteract Necroptosis in vitro by Kemp, E

Global marine flyways identified for long-distance migrating seabirds from tracking data by Davies, T, Guilford, T

“…<p><strong>Aim:</strong> To identify the broad-scale oceanic migration routes (‘marine flyways’) used by multiple pelagic, long distance migratory seabirds based on a global compilation of tracking data.…”

A hidden lethal effect of long microplastic fibres on the coastal copepod Acartia erythraea by Takahashi, Kazutaka, Teh, Jun Chin

“…We investigated the lethal effects of a long fibrous microplastic (the range of lengths, widths, and thicknesses were 1.5–3.6 mm, 10–16 μm, and 7–8.5 μm, respectively) made of polyethylene terephthalate textile, on the marine copepod Acartia erythraea. …”
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Translating decoration and symbolism of Chinese architectural works in tourism texts : a case study of Nan Hai Ming Zhu Tian Fu Gong (Pearl of the South Seas——Thian Hock Keng) by Koh, Qiumei

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相声剧中的反思议题 ：以《东厂仅一位》为例 = Topics in stand-up comedy : a case study on “The Last One of Ming dynasty” by 杨凯威 Yeong, Hoi Wai

“…This thesis is a case study on Comedian Workshop’s work “The Last One of Ming Dynasty”, which performed on year 2001. It is one of the famous works by Comedian Workshop and being performed again as their first performance in China lately. …”
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Prediction of international rice production using long short- term memory and machine learning models by Arya, Suraj, Anju, ., Nor Azuana, Ramli

“…This paper proposes machine learning (ML) and deep learning (DL) models like linear regression, ridge regression, random forest (RF), adaptive boosting (AdaBoost), categorical boosting (CatBoost), extreme gradient boosting (XGBoost), gradient boosting, decision tree, and long short-term memory (LSTM) to predict international rice production. …”
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Design of a long-term memory genetic toggle switch inspired by chromatin modification circuits by Kwon, Ukjin, Huang, Hsin-Ho, Vecchio, Domitilla Del

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Simulation of dwell-to-penetration transition for SiC ceramics subjected to impact of tungsten long rods by Yuan, Jianming, Tan, Geoffrey Eng Beng, Goh, Wei Liang

“…For a ceramic armour impacted by a long rod projectile, increasing the dwell-to-penetration transition velocity significantly improves its ballistic performance, whereas it can be achieved by prestressing of the ceramic or placing a buffer over the impact surface. …”
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China's exchange rate system reform : two potential mistakes and the recommended long-term system by Yip, Paul Sau Leong

“…Further to the author's recommended transitory and medium-term exchange rate system reforms that was implemented in China since July 2005, this paper explains that: (1) a long-term reform towards a floating exchange rate system with free capital mobility will cause huge damages to the Chinese economy. …”
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Repeat expansion detection in neurodegenerative diseases with CRISPR/Cas9-targeted long read sequencing by Phua, Kimberly

“…I optimised a third-generation long read sequencing strategy by Oxford Nanopore Technologies for targeting the repeat expansion genes HTT, NOTCH2NLC, C9orf72 and RFC1 using CRISPR/Cas9 and applied this to eleven patient samples to determine repeat numbers across these genes. …”
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Spatial organization of long-term depression in mouse hippocampal schaffer collateral : CA1 synapses. by Chan, Jasmine Ee Teng.

“…Long-term depression (LTD) is a form of long-lasting synaptic plasticity that has been postulated to serve as a neural mechanism for memory and learning. …”
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Graph attention informer for long-term traffic flow prediction under the impact of sports events by Song, Yaofeng, Luo, Ruikang, Zhou, Tianchen, Zhou, Changgen, Su, Rong

“…However, due to the complexity of traffic maps and external factors, such as sports events, these models cannot perform well in long-term prediction. In order to enhance the accuracy and robustness of the model on long-term time series prediction, a Graph Attention Informer (GAT-Informer) structure is proposed by combining the graph attention layer and informer layer to capture the intrinsic features and external factors in spatial-temporal correlation. …”
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