Small and medium enterprises in regions - empirical and quantitative approach by Ladislav Mura, Zuzana Hajduová

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Enhancing Nowcasting With Multi‐Resolution Inputs Using Deep Learning: Exploring Model Decision Mechanisms by Yuan Cao, Lei Chen, Junjing Wu, Jie Feng

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Morphological characterization of bushy cells and their inputs in the laboratory mouse (Mus musculus) anteroventral cochlear nucleus. by Amanda M Lauer, Catherine J Connelly, Heather Graham, David K Ryugo

“…We conducted a systematic investigation of mouse bushy cells along the rostral-caudal axis in an effort to understand the morphological variation that gives rise to reported response properties in mice. We combined quantitative light and electron microscopy to investigate variations in cell morphology, immunostaining, and the distribution of primary and non-primary synaptic inputs along the rostral-caudal axis. …”
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Development of an input-output CGE model for collaborative management of water pollution reduction and carbon mitigation by Jia Wang, Jun Li, Yupeng Fu, Jie Sun, Yueqing Yang, Shuai Su, Mengyu Zhai

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The effect of input modality on German as a FL learners’ provision of recasts in oral peer interactions by Natalie Kirchhoff, Raúl Dávila-Romero

“…Audio recordings and full written transcripts of learners’ oral peer interactions in the two groups were made and the frequency and nature of recasts were analysed quantitatively in order to examine the effect of input modality on the production of this corrective feedback type. …”
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Evaluation of Online Learning Program during the Covid 19 Pandemic at SMKN I Koto XI Tarusan by Suci Andri, Ambiyar Ambiyar

“…This study aims to evaluate online learning programs during the covid 19 pandemic at SMKN I Koto XI Tarusan as seen from  inputs, activities (processes), outputs  and  outcomes. …”
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Physics-informed deep generative learning for quantitative assessment of the retina by Emmeline E. Brown, Andrew A. Guy, Natalie A. Holroyd, Paul W. Sweeney, Lucie Gourmet, Hannah Coleman, Claire Walsh, Athina E. Markaki, Rebecca Shipley, Ranjan Rajendram, Simon Walker-Samuel

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Application of Wavelet in Quantitative Evaluation of Gait Events of Parkinson’s Disease by Noore Zahra

“…Data from the acceleration sensor is taken as input. After preprocessing, discrete wavelet transform (DWT) is applied on the data which shows its entire frequency spectrum. …”
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Quantitative analysis of gait parameters in Parkinson’s disease and the clinical significance by Wenchao Yin, Hong Gao, Beichen Liang, Ruichen Liu, Yue Liu, Chenxin Shen, Xiaohui Niu, Cui Wang

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Combining nanobody labeling with STED microscopy reveals input-specific and layer-specific organization of neocortical synapses. by Yeasmin Akter, Grace Jones, Grant J Daskivich, Victoria Shifflett, Karina J Vargas, Martin Hruska

“…We focused on thalamocortical (TC) and corticocortical (CC) synapses along the apical-basal axis of layer five pyramidal neurons as models of functionally diverse glutamatergic synapses in the brain. Spines receiving TC input were larger than those receiving CC input in all layers examined. …”
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Importance of coarse‐mode nitrate produced via sea salt as atmospheric input to East Asian oceans by Syuichi Itahashi, Hiroshi Hayami, Itsushi Uno, Xiaole Pan, Mitsuo Uematsu

“…Abstract The atmospheric input of anthropogenic total reactive oxygenated nitrogen (NOy) to ocean regions in East Asia during 2002–2004 was revisited with an updated regional chemical transport model and the latest emissions inventory. …”
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Quantitative organization of GABAergic synapses in the molecular layer of the mouse cerebellar cortex. by Federica Briatore, Annarita Patrizi, Laura Viltono, Marco Sassoè-Pognetto, Peer Wulff

“…In the cerebellar cortex, interneurons of the molecular layer (stellate and basket cells) provide GABAergic input to Purkinje cells, as well as to each other and possibly to other interneurons. …”
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Quantitative Assessment of Data Volume Requirements for Reliable Machine Learning Analysis by Xukuan Xu, Jinghou Bi, Michael Moeckel, Hajo Wiemer, Steffen Ihlenfeldt

“…The results indicate that the relevant aspects are the ratio of data volume to the number of input features, the complexity of the involved data correlations and the applied definition of the small data regime. …”
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ChatGPT based method for obtaining repeatable and quantitative colorimetric measurements by Morena Xaba, Sivuyisiwe Mapukata, Teboho Mokhena

“…., that generates human-like dialogue and responses from the user input.• ChatGPT can be used to determine colorimetric values for the assessment of environmental pollutants such as congo red (CR) and coomassie brilliant blue (CBB) and prove its ability for consistent reproducibility.• Several color models have been developed such as CIE Lab, RGB, and Xyz to quantify colors.• We used ChatGPT, in conjunction with Color Grab which is an Android app, to quantitatively determine the RGB values of the pollutant solutions, and investigated the color difference ΔE, as well as the hue and chroma that facilitates the color absorption of the pollutants.• The results from ChatGPT and Color Grab were confirmed with the well-established ultra-violet visible (UV–Vis) spectrophotometer.…”
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Color as a High-Value Quantitative Tool for PET/CT Imaging by Michail Marinis, Sofia Chatziioannou, Maria Kallergi

“…It should be noted that the output .png files contained all the raw values and may be treated as raw DICOM input data.…”
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Comparative Analysis of Chemical Distribution Models for Quantitative In Vitro to In Vivo Extrapolation by Hsing-Chieh Lin, Lucie C. Ford, Ivan Rusyn, Weihsueh A. Chiu

“…Quantitative in vitro to in vivo extrapolation (QIVIVE) utilizes in vitro data to predict in vivo toxicity. …”
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Research on the Structural Characteristics of Entertainment Industrial Correlation in China: Based on Dual Perspective of Input-Output and Network Analysis by Yang Xun, Wensheng Shi, Tianyu Liu

“…Through the input-output analysis of industrial correlation characteristic indicators and construction of an industrial correlation network, we conduct a systematic and quantitative study on the entertainment industrial correlation characteristics and structural characteristics of the industrial correlation network in China. …”
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Quantitative and qualitative investigation of shunt failure in an in vitro hemorrhagic hydrocephalus model by Shaheer Ajaz, Ahmad Faryami, Ayman Suhrawardy, Carolyn A. Harris

“…Saline was utilized to dilute heparinized whole porcine blood to prepare blood-saline solutions at two concentrations of 0.05 and 0.5 volume percent (v/v%). The bulk input flow rate was set at 0.3 mLmin for all samples except where the flow rate was intentionally varied. …”
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Impact of Input Image Resolution on Deep Learning Performance for Side-Scan Sonar Classification: An Accuracy–Efficiency Analysis by Xing Du, Yongfu Sun, Yupeng Song, Wanqing Chi, Lifeng Dong, Xiaolong Zhao

“…This work provides a quantitative framework for navigating this trade-off and underscores the need for developing SSS-specific architectures for future advancements.…”
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Evaluation of English for Banking Purposes (EBP) Courses Using Stufflebeam’s Context, Input, Process and Product (CIPP) Model by Shiva Kaivanpanah, Mohammad Zarrin

“…The data were analyzed using quantitative and qualitative methods. Employees’ language learning and communicative needs were assessed by identifying their workplace routine tasks performed in English, qualitatively, and measuring the frequency and priority of identified tasks, quantitatively. …”
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