Results 161 to 170 of about 2,332 (268)

How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang, Lena Kuhn, Hang Xiong, Zhanli Sun, Thomas Glauben   +4 more
wiley   +1 more source

[Research in university ENT departments-results of a Germany-wide survey on motivation, barriers, and structural conditions]. [PDF]

HNO
Kürten CHL, Boosfeld L, Holtmann L, Hansen S, Daser A, Stähr K, Mattheis S, Deitmer T, Stöver T, Hoffmann TK, Lang S.   +10 more
europepmc   +1 more source

Farmers' Participation in Messenger‐Based Social Groups And Its Effects on Performance in Irrigated Areas of Kazakhstan and Uzbekistan

Agribusiness, EarlyView.
ABSTRACT The penetration of information and communication technologies (ICTs) in farming communities is increasing the use of smartphone‐based instant messaging apps. Despite this, the reasons behind participation and the impact on farm productivity in developing countries remain unexplored.
Zafar Kurbanov, Abdusame Tadjiev, Nodir Djanibekov, Ajit Govind, Akmal Akramkhanov   +4 more
wiley   +1 more source

[Science and practice in public health services: experiences from Saxony-Anhalt and perspectives for sustainable public health services]. [PDF]

Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz
Wolff D, Apfelbacher C, Pohl R, Swart E, Niering M.   +4 more
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Beyond circulating cGMP: revisiting compartmentalized signaling in HFrEF. [PDF]

Int J Cardiol Heart Vasc
Pütz R, Herwig M, Delalat S, Sultana I, Akin I, Hamdani N, El-Battrawy I.   +6 more
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Early ventricular tachyarrhythmia after myocardial infarction in patients using a wearable cardioverter defibrillator. [PDF]

Europace
Rips J, El-Battrawy I, Basha MM, Lapp H, Zietzer A, Knappe V, Funken M, Gestrich C, Kratz T, Wloch L, Koepsel K, Klein N, Kuntz T, Mügge A, Aweimer A, Weth C, Custodis F, Schehab W, Hoffmann LM, Abumayyaleh M, Akin I, Hamdani N, Nickenig G, Beiert T.   +23 more
europepmc   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Small Subset, Big Impact: Regulatory Function of γδ T Cells in Arteriogenesis. [PDF]

Cells
Wimmer KS, Baur C, Kübler M, Arnholdt C, Kumaraswami K, Heim F, Elbs K, Rohrmoser MR, Merkus D, Deindl E.   +9 more
europepmc   +1 more source