Article
Computer Science, Artificial Intelligence
Shengju Qian, Yi Zhu, Wenbo Li, Mu Li, Jiaya Jia
Summary: This work investigates the importance of good tokenizers in computer vision from an information trade-off perspective. The proposed Modulation across Tokens (MoTo) and TokenProp regularization objective provide better design strategies, leading to improved performance and intriguing properties with negligible computational overhead. These findings emphasize the commonly-omitted designs of tokenizers in vision transformer.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Biodiversity Conservation
Anne-Maarit Hekkala, Mari Jonsson, Simon Karvemo, Joachim Strengbom, Jorgen Sjogrena
Summary: Reliable assessment measures are crucial for tracking changes in biodiversity and for evaluating its state. Habitat heterogeneity and resource amount are important drivers of biodiversity. Assessing forest stand heterogeneity and quantifying resource amount and quality can effectively predict the number and abundance of species of conservation concern.
ECOLOGICAL INDICATORS
(2023)
Review
Biology
Helena Korpelainen, Maria Pietilainen
Summary: We explored various traits that promote plant invasions, such as life history traits, genetic variation patterns, competitive and dispersal abilities, phenotypic plasticity, resistance, tolerance, and allelopathic interactions. External factors, including abiotic and biotic constraints, also play a significant role in invasion success. The introduction of invasive species is often associated with human activities, and their adaptation may not be reflected in their geographical distribution. However, repeated introductions and novel mutations can compensate for a lack of adaptation. As a case study, we used data from the Global Invasive Species Database to identify factors contributing to invasiveness, such as human-assisted dispersal, preference for disturbed habitats, and being used as ornamentals. We found that invasive species commonly have mixed reproduction systems, providing flexibility for spreading and establishment.
Article
Neurosciences
Qian Yang, Yan Hong, Ting Zhao, Hongjun Song, Guo-Li Ming
Summary: Human neurogenesis mainly occurs in embryonic, fetal, and neonatal stages, generating diverse neural cell types that form the human nervous system. Brain organoids derived from human pluripotent stem cells can recapitulate major developmental processes during neurogenesis and exhibit human-specific features, offering unprecedented opportunities for studying human neurodevelopment.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Biodiversity Conservation
Maxence Martin, Nicole J. Fenton, Hubert Morin
Summary: This study investigated the dynamics of TreM and deadwood abundance and diversity in boreal old-growth forests, revealing different characteristics in forests at different stages, emphasizing the importance of considering old-growth forests as dynamic rather than static ecosystems.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Christopher William Smith, Santosh K. Panda, Uma Suren Bhatt, Franz J. Meyer
Summary: This study utilized high spatial and spectral resolution AVIRIS-NG hyperspectral data to generate more accurate fire fuel maps compared to those generated using low resolution Landsat 8 data. The accuracy was significantly higher and more vegetation classes were identified, demonstrating the value of AVIRIS-NG for providing decision-support information to fire managers.
Article
Forestry
Zoljargal Purevdorj, Munkhbaatar Munkhbayar, Woon Kee Paek, Onolragchaa Ganbold, Ariunbold Jargalsaikhan, Erdenetushig Purevee, Tuvshinlkhagva Amartuvshin, Uranchimeg Genenjamba, Batbayar Nyam, Joon Woo Lee
Summary: This study investigated bird assemblages in different forest habitats in the Khentii Mountain region of Northern Mongolia and found significant relationships between bird assemblages and forest habitat types, canopy height, and ground cover vegetation structure. These findings indicate that maintaining diverse forest habitats or restoring forests is crucial for bird conservation and sustainable forest management.
Article
Geriatrics & Gerontology
Anna Nivestam, Albert Westergren, Maria Haak
Summary: This study aimed to explore older adults' views on what makes them feel good. Through qualitative and quantitative research design, it was found that leisure activities were most frequently mentioned, followed by productivity activities, and self-care activities were seldom reported. There were significant differences in the activities reported as making them feel good based on gender, marital status, and health status.
AGING CLINICAL AND EXPERIMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Emiliano Agrillo, Federico Filipponi, Alice Pezzarossa, Laura Casella, Daniela Smiraglia, Arianna Orasi, Fabio Attorre, Andrea Taramelli
Summary: This paper presents a novel approach for spatially explicit habitat mapping in Italy at a national scale, utilizing a supervised machine learning model combined with vegetation plot database and spectral/environmental predictors. The results classify 24 forest habitats accurately, demonstrating the potential of this method for habitat monitoring and assessment.
Article
Multidisciplinary Sciences
Janos Abonyi, Adam Ipkovich, Gyula Dorgo, Karoly Heberger
Summary: Non-negative matrix factorization (NMF) efficiently reduces high dimensionality for many-objective ranking problems. The key idea is that NMF aggregates the objectives so that the Pareto front can be applied, while the Sum of Ranking Differences (SRD) method selects the objectives that have a detrimental effect on the aggregation, and validates the findings. The results illustrate that PCA incorporates negatively correlated objectives into the same principal component, while NMF only allows non-negative correlations, which enable the proper use of the Pareto front.
Article
Environmental Sciences
Anushree Badola, Santosh K. Panda, Dar A. Roberts, Christine F. Waigl, Uma S. Bhatt, Christopher W. Smith, Randi R. Jandt
Summary: The study simulated hyperspectral data from Sentinel-2 multispectral data using the spectral response function of the AVIRIS-NG sensor, achieving a high classification accuracy of 89% for tree species classification. The simulated hyperspectral data showed a high correlation with real AVIRIS-NG data and outperformed Sentinel-2 data in terms of accuracy. The study demonstrated the potential of generating low-cost and high-quality hyperspectral data from Sentinel-2 data for improved land cover and vegetation mapping in boreal forests.
Article
Management
Shunyuan Zhang, Dokyun Lee, Param Vir Singh, Kannan Srinivasan
Summary: The study reveals an increase in Airbnb property occupancy after the acquisition of verified images, indicating the importance of good images in boosting property demand. By analyzing various image attributes, differences between verified and unverified images were identified, offering insights for Airbnb photographers and hosts on image optimization.
MANAGEMENT SCIENCE
(2022)
Review
Parasitology
Martin K. Nielsen
Summary: Fecal egg counting techniques have been essential in parasitology research and clinical practice for over a century, but current issues such as lack of consensus on diagnostic parameters evaluation and confusing use of terminology exist. Clear guidelines are needed for validating fecal egg counting techniques in veterinary parasitology, emphasizing what should be evaluated, how studies could be designed, and how to appropriately analyze data.
VETERINARY PARASITOLOGY
(2021)
Review
Hospitality, Leisure, Sport & Tourism
Lan Xue, Xi Y. Leung, Shihan (David) Ma
Summary: The purpose of this study is to explore the characteristics of being a good guest from the perspective of Airbnb hosts. The study analyzed 10,068 reviews posted by Airbnb hosts using a mixed method approach. A framework was developed to summarize the characteristics of being a good guest at different levels. The findings suggest that Airbnb is considered a consumption space that emphasizes effective interaction between hosts and guests.
ANNALS OF TOURISM RESEARCH
(2022)
Article
Education & Educational Research
Berry M. O'Donovan, Birgit den Outer, Margaret Price, Andy Lloyd
Summary: The study identified attributes of good feedback from the perspective of recipients through 32 interviews with student participants. The findings highlighted the complex interdependency and contextual nature of key influences on students' perspectives, emphasizing the importance of considering factors beyond technical aspects for increasing student engagement and satisfaction with feedback.
STUDIES IN HIGHER EDUCATION
(2021)
Article
Environmental Sciences
Sofie Sandstrom, Sirkku Juhola, Aleksi Rasanen
Article
Remote Sensing
Aleksi Rasanen, Julia Wagner, Gustaf Hugelius, Tarmo Virtanen
Summary: The study found significant differences in vegetation composition in treeless landscapes in the north, with remote sensing data able to detect biomass patterns, although regression performance varies between sites and important predictors differ.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Ecology
Aleksi Rasanen, Terhikki Manninen, Mika Korkiakoski, Annalea Lohila, Tarmo Virtanen
Summary: CH4 fluxes in northern boreal peatland landscapes can be accurately predicted with multi-source remote sensing, which helps to reduce uncertainties related to CH4 fluxes and their spatial patterns.
Article
Geosciences, Multidisciplinary
Maija Nikkanen, Aleksi Rasanen, Sirkku Juhola
Summary: This study examined storm preparedness and impacts in Finland, finding that factors such as education level or employment status are not directly correlated with preparedness and impacts. However, type of residential property and recent experience of storm-related harm do play a role in preparedness and impact. The study suggests that socio-demographic factors may have minimal influence on storm preparedness and impacts in Finland, potentially due to the relatively equal distribution of well-being among the population.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Geosciences, Multidisciplinary
Aleksi Rasanen
Summary: The study found that administrative cooperation in flood preparedness has been effective in Rovaniemi, Finland, but there has been a persistent conflict over flood defense measures. There have been minimal changes in local residents' approaches to flood risk management, although administrative actors have recently emphasized communication and self-preparedness.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Environmental Sciences
Armand Landreau, Sirkku Juhola, Alexandra Jurgilevich, Aleksi Rasanen
Summary: This study projected heat risks for Finland using different vulnerability scenarios and found that the impact of scenarios on vulnerability was small. It highlighted the significant impact of vulnerability projections on future heat-related risks in climate risk assessments, emphasizing the importance of integrating long-term climatic and socio-economic projections.
Article
Geography, Physical
Minna Valiranta, Maija E. Marushchak, Juha-Pekka Tuovinen, Annalea Lohila, Christina Biasi, Carolina Voigt, Hui Zhang, Sanna Piilo, Tarmo Virtanen, Aleksi Rasanen, Dmitry Kaverin, Alexander Pastukhov, A. Britta K. Sannel, Eeva-Stiina Tuittila, Atte Korhola, Pertti J. Martikainen
Summary: The study found that permafrost aggradation can lead to greenhouse gas emissions, as well as positive radiative forcing and short-term climate warming feedback. The current sporadic bare peat surfaces in subarctic regions are likely remnants of more extensive bare peat areas formed during permafrost initiation.
QUATERNARY SCIENCE REVIEWS
(2021)
Article
Environmental Sciences
Alexandra Jurgilevich, Aleksi Rasanen, Sirkku Juhola
Summary: The study utilizes a mixed methods approach to investigate the development of future climate vulnerability, focusing on the impact of urban risk assets and population concentration. Through empirical research in Helsinki, the results provide valuable insights for urban policy and planning.
ENVIRONMENTAL SCIENCE & POLICY
(2021)
Article
Geochemistry & Geophysics
Terhikki Manninen, Emmihenna Jaaskelainen, Annalea Lohila, Mika Korkiakoski, Aleksi Rasanen, Tarmo Virtanen, Filip Muhic, Hannu Marttila, Pertti Ala-Aho, Mira Markovaara-Koivisto, Pauliina Liwata-Kenttala, Raimo Sutinen, Pekka Hanninen
Summary: A soil moisture estimation method has been developed for Sentinel-1 SAR data, utilizing PIMSAR nonlocal mean filtering and GBT machine learning for algorithm development, with successful results.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Dan Kou, Tarmo Virtanen, Claire C. Treat, Juha-Pekka Tuovinen, Aleksi Rasanen, Sari Juutinen, Juha Mikola, Mika Aurela, Lauri Heiskanen, Maija Heikkila, Jan Weckstrom, Teemu Juselius, Sanna R. Piilo, Jia Deng, Yu Zhang, Nitin Chaudhary, Conghong Huang, Minna Valiranta, Christina Biasi, Xiangyu Liu, Mingyang Guo, Qianlai Zhuang, Atte Korhola, Narasinha J. Shurpali
Summary: This study investigated the atmosphere-ecosystem carbon fluxes and radiative effects in a boreal landscape in northern Finland, showing that peatlands played a significant role in the variability of CH4 flux and the combined radiative effect of CO2 and CH4 exchanges over a 25-year time span.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Article
Geography, Physical
Yuwen Pang, Aleksi Rasanen, Viivi Lindholm, Mika Aurela, Tarmo Virtanen
Summary: This study investigated the impact of temporal and spectral resolution on the detection of vegetation patterns in peatlands. The findings demonstrate the importance of using multi-temporal data and highlight the different optimal time windows for vegetation detection at different sites. Additionally, the study suggests that a spectral sampling interval between 1 to 10 nm yields the best regression performance for most vegetation characteristics.
GISCIENCE & REMOTE SENSING
(2022)
Article
Ecology
Lauri Heiskanen, Juha-Pekka Tuovinen, Henriikka Vekuri, Aleksi Rasanen, Tarmo Virtanen, Sari Juutinen, Annalea Lohila, Juha Mikola, Mika Aurela
Summary: The subarctic landscape in northern Finland consists of forests, peatlands, and aquatic ecosystems. Carbon exchange between these ecosystems and the atmosphere, in the form of carbon dioxide and methane fluxes, varies spatially and temporally. Forests are the largest contributors to carbon dioxide absorption, while peatlands are the main source of methane emissions. Lakes within the landscape release carbon dioxide and methane. Climate change has different effects on carbon balance in different ecosystems.
Article
Environmental Studies
Adrienne Gret-Regamey, Michal Switalski, Nora Fagerholm, Silviya Korpilo, Sirkku Juhola, Marketta Kytta, Niina Kaeyhkoe, Timon McPhearson, Markus Nollert, Tiina Rinne, Niko Soininen, Tuuli Toivonen, Aleksi Rasanen, Elias Willberg, Christopher M. Raymond
Summary: The massive development of geospatial sensing systems in recent years has not been effectively informing urban sustainability transformations. By drawing on global urban case examples, it is proposed that passive and active sensing systems should be harnessed to achieve inclusive, sustainable, and resilient urban transformations. Key principles for stakeholders include iterative dialogue, new modes of governance, consideration of data biases, and a commitment to high ethical standards, including open data sharing.
NPJ URBAN SUSTAINABILITY
(2021)
Article
Ecology
Lauri Heiskanen, Juha-Pekka Tuovinen, Aleksi Rasanen, Tarmo Virtanen, Sari Juutinen, Annalea Lohila, Timo Penttila, Maiju Linkosalmi, Juha Mikola, Tuomas Laurila, Mika Aurela
Summary: The patterned microtopography of subarctic mires creates varied environmental conditions, leading to spatial variation in carbon dynamics, including CO2 and CH4 exchange, among different plant community types (PCTs). The CO2 and CH4 emissions from different PCTs show strong spatial variation, influenced by water table level and vegetation composition. Overall, the carbon balance of the fen tends to remain stable despite variations in CO2 and CH4 emissions from different PCTs and years.
Article
Ecology
Hui Zhang, Eeva-Stiina Tuittila, Aino Korrensalo, Aleksi Rasanen, Tarmo Virtanen, Mika Aurela, Timo Penttila, Tuomas Laurila, Stephanie Gerin, Viivi Lindholm, Annalea Lohila