Understanding Indexing Efficiency for Approximate Nearest Neighbor Search in High-dimensional Vector Databases by Qin, Yuting

“…Due to massive data scale in practice, Approximate Nearest-Neighbor (ANN), which builds a search index offline to accelerate search online, is often used instead. …”
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Coupled polymer microfiber lasers for single mode operation and enhanced refractive index sensing by Ta, Van Duong, Chen, Rui, Sun, Handong

“…This coupled structure offers a significant improvement in sensitivity (∼400 nm/refractive index unit) for refractive index sensing compared to a single cavity. …”
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Real-time measurement of single bacterium's refractive index using optofluidic immersion refractometry by Liu, P. Y., Chin, Lip Ket, Ser, Wee, Ayi, T. C., Yap, P. H., Bourouina, T., Leprince-Wang, Y.

“…In this paper, an optofluidic immersion refractometer is developed to measure three biophysical parameters, i.e. size, shape and refractive index. The refractive index of a single bacterium is measured in high sensitivity of 0.005 RIU. …”
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Influence of no-core fiber on the focusing performance of an ultra-small gradient-index fiber probe by Bi, Shubo, Wang, Chi, Zhu, Jun, Yuan, Zhiwen, Yu, Yingjie, Valyukh, Sergiy, Asundi, Anand

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The Global Multidimensional Poverty Index 2024: harmonised level estimates and their changes over time by Alkire, S, Kanagaratnam, U, Suppa, N

“…<p>This Database provides estimates of the global Multidimensional Poverty Index (MPI) an international measure of acute poverty. …”

The Global Multidimensional Poverty Index 2021: harmonised level estimates and their changes over time by Alkire, S, Kanagaratnam, U, Suppa, N

“…<p>This Database provides estimates of the global Multidimensional Poverty Index (MPI) an international measure of acute poverty. …”

The Global Multidimensional Poverty Index 2022: harmonised level estimates and their changes over time by Alkire, S, Kanagaratnam, U, Suppa, N

“…<p>This Database provides estimates of the global Multidimensional Poverty Index (MPI) an international measure of acute poverty. …”

A topic recommendation control method based on topic relevancy and R-tree index by Yu, Jing, Lu, Zhixing, Li, Xianghua, Wu, Bin, Zhang, Shunli, Cui, Zongmin

“…To improve efficiency, an R-tree topic index is constructed to organize topics across different regions hierarchically. …”
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Basis risk reduction in weather index insurance for rice production in North-West Malaysia by Abdi, Mukhtar Jibril, Zulkafli, Zed, Raffar, Nurfarhana, Khairudin, Nurulhuda

“…Weather index insurance allows small-scale farmers to secure income fluctuations caused by adverse weather conditions. …”

Developing a new CMBS hedging tool : a property price index-based synthetic by Chirathivat, Juthatham Bo

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Moisture modulated refractive index difference of engineered pore interface for indoor temperature and humidity regulation by Guo, Yang, Wei, Jiaqi, Yu, Ziwei, Wang, Jiaying, Chen, Xiaodong, Wang, Juan

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Food insecurity and coping strategies index among low-income households in Klang Valley, Malaysia by Ahmad Azuddin, Ainatul Husna, Ramli, Nurul Nadia, Shamsudin, Mad Nasir, Buda, Mark

“…Four dimensions namely; dietary change, shortterm measures to increase household food availability, short-term measures to reduce the number of people to feed, and rationing strategies were use to establish the Coping Strategies Index (CSI). The findings of this study suggested that 11.36%, 43.21%, 38.75% and 6.68% of the respondents were using low, mildly, moderately and severely coping strategies, respectively. …”
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Developing a Household Flood Vulnerability Index for Managing the Risk of Flood Disasters (S/O 13584) by Hassan, Sallahuddin, Abu Bakar, Arpah, Othman, Zalila, Khalid, Mohamad Sukeri, Abu Talib, Mansor

“…Following from the 2014’s major floods, this study proposes the use of household flood vulnerability index (FVI), which follows the methodological approach of Balica and Wright (2010), to assess vulnerability levels to floods among affected households in the worst-hit districts of Kota Bharu, Kuala Krai, Kuala Terengganu, Kemaman, Kuantan and Temerloh in Kelantan, Terengganu and Pahang. …”
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PLATON: top-down R-tree packing with learned partition policy by Yang, Jingyi, Cong, Gao

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Analyzing Remote Sensing-Derived Normal Difference Vegetation Index to Predict Coastal Protection by Spartina alterniflora by Garber, Samantha C.

“…For sixteen 1m x 1m test plots, Normalized Difference Vegetation Index (NDVI) extracted from drone multispectral imagery was compared to measured stem count and estimated biomass. …”
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Examining the factor structure of the Pittsburgh Sleep Quality Index in a multi-ethnic working population in Singapore by Dunleavy, Gerard, Bajpai, Ram, Tonon, André Comiran, Chua, Ai Ping, Cheung, Kei Long, Soh, Chee Kiong, Christopoulos, Georgios I., de Vries, Hein, Car, Josip

“…The Pittsburgh Sleep Quality Index (PSQI) is a widely used measure for assessing sleep impairment. …”
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Multi-carrier M-ary DCSK system with code index modulation : an efficient solution for chaotic communications by Cai, Guofa, Fang, Yi, Wen, Jinming, Mumtaz, Shahid, Song, Yang, Frascolla, Valerio

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Body frame dimensions are related to obesity and fatness: Lean trunk size, skinfolds, and body mass index by Henneberg, M, Ulijaszek, SJ

Spatial mapping of the seismic vulnerability index in Kathmandu Valley: insight from dominant frequency and amplification factor by Poudyal, Dibyashree, Nordin, Norhaiza, Roslan, Siti Nur Aliaa, Dahal, Bhim Kumar

“…This study aimed to spatially map the dominant frequency, amplification factor, and vulnerability index map of Kathmandu Valley, Nepal using ArcGIS. …”
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Risk analysis of work posture and body mass index to musculoskeletal disorders among librarians at Universitas Airlangga by Nugraha, Adellian, Widajati, Noeroel, Guan, Ng Yee, Febriyanto, Eka Cahya, Oktavia, Nurul Dewi

“…This study aims to determine the correlation between work posture and body mass index (BMI) with MSDs complaints among librarians at Universitas Airlangga. …”
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