Assessment of the attractiveness of a region for coffee production: the case of Karo Regency by Syahbudin Hasibuan, Zulkarnain Lubis, Sri Ariani Safitri, Zahraturrahmi Zahraturrahmi, Marizha Nurcahyani

Get full text

The Effect of Sowing Date on Yield and Quality Characteristics of Autumn Sugar Beet (Beta vulgaris L.) Cultivars in Gonbad Kavous by E Paserakloo, A Biabani, S Yarahamdi, A Saberi, M Naeemi, F Taliei

Get full text

CADTrans: A code tree-guided CAD generative transformer model with regularized discrete codebooks by Xufei Guo, Xiao Dong, Juan Cao, Zhonggui Chen

“…Firstly, three regularized discrete codebooks are extracted through vector quantized adversarial learning, with each codebook respectively representing the features of Loop, Profile, and Solid. …”
Get full text

Achievements and Requirements of Teachers' Guild-Political Activism (2010s) by Heidar Shahriari, ehsan balaghi inanloo

“…Their most important requirements have been, also, strategic unity, promotion of the civil-legal trainings of their activism, the continuity of their guild membership process, making the educational system accountable and education policies more efficient. Among 8 items of their guild-political achievements, the approval of rating plan with 4.16% is the highest average and the improvement of living conditions is the lowest average with 1.3%. …”
Get full text

PopART-IBM, a highly efficient stochastic individual-based simulation model of generalised HIV epidemics developed in the context of the HPTN 071 (PopART) trial. by Michael Pickles, Anne Cori, William J M Probert, Rafael Sauter, Robert Hinch, Sarah Fidler, Helen Ayles, Peter Bock, Deborah Donnell, Ethan Wilson, Estelle Piwowar-Manning, Sian Floyd, Richard J Hayes, Christophe Fraser, HPTN 071 (PopART) Study Team

“…Mathematical models are powerful tools in HIV epidemiology, producing quantitative projections of key indicators such as HIV incidence and prevalence. …”
Get full text

From Emulsions to Films: The Role of Polysaccharide Matrices in Essential Oil Retention Within Active Packaging Films by Elisa Othero Nahas, Guilherme F. Furtado, Melina S. Lopes, Eric Keven Silva

Get full text

Characteristics and driving factors of power generation performance in microbial fuel cells: an analysis based on the CNKI database by Ruikai Zhang, Wentao Dai, Hongyong Xiang, Hongyong Xiang, Hongyong Xiang, Jie Chen, Jie Chen, Jie Chen, Ting Yi, Jiayi Li, Jiebin Zhang, Qiuxi Yang, Rui Xiao, Xiang Li

“…Our results showed that (1) the power density, voltage, and reaction duration were significantly lower (~25%) in this study, while the coulombic efficiency and ambient temperature were significantly higher (13.4–33.1%) than those reported in other meta-analyses or review papers; (2) reaction chamber volume and cathode surface area were stronger predictors for the majority of power generation performance indices than other device configuration indices, especially cathode chamber volume, which explained >70% of the variances in power density and coulombic efficiency; (3) ambient temperature, external resistance, and reaction duration had greater effects on power generation performance than other reaction conditions; and (4) substrates with pre-treatment, especially with biological treatment, showed 10–40% higher values for the majority of power generation performance indices compared to pre-treatment with physical and chemical methods, and solid substrates showed better power generation performance than liquid and fluid substrates for the majority of indices. …”
Get full text

Two-dimensional modeling of nitrate transport in canola field under Moistube irrigation using HYDRUS 2D/3D by Tinashe Lindel Dirwai, Tinashe Lindel Dirwai, Aidan Senzanje, Aidan Senzanje, Tafadzwanashe Mabhaudhi, Tafadzwanashe Mabhaudhi, Tafadzwanashe Mabhaudhi, Tafadzwanashe Mabhaudhi

“…IntroductionUnderstanding nitrate distribution and leaching under various irrigation strategies is critical for optimizing nitrogen use efficiency and minimizing environmental losses. While previous studies have explored wetting patterns under Moistube Irrigation (MTI) and discussed qualitative nitrate retention, few have quantitatively simulated nitrate transport through variably saturated zones with fine temporal-spatial resolution.MethodsA field experiment was conducted in a 20 m × 8 m naturally ventilated greenhouse using three irrigation regimes: (i) full irrigation (100% ETc), (ii) optimal deficit irrigation (75% ETc), and (iii) extreme deficit irrigation (55% ETc). …”
Get full text

A dual-method approach integrating dynamic QCA and LightGBM-SHAP algorithms to uncover the configuration paths and key drivers of water resource green efficiency in China by Naiming He, Rijia Ding

“…This study presents three key innovations: (1) It applies the super-efficiency epsilon-based measurement and global Malmquist–Luenberger index (Super-EBM-GML) model from the perspective of high-quality economic development to analyze the spatiotemporal characteristics of WRGE across 30 Chinese provinces from 2014 to 2022. (2) It uses the Technology-Organization-Environment (TOE) framework and dynamic qualitative comparative analysis (QCA) model to identify the key drivers of WRGE and regional variations. (3) It integrates machine learning (light gradient-boosting machine with Shapley additive explanations; LightGBM-SHAP) with QCA to quantify the impact of variables, combining qualitative and quantitative analysis. …”
Get full text

<i>StMAPKK1</i> Enhances Thermotolerance in Potato (<i>Solanum tuberosum</i> L.) by Enhancing Antioxidant Defense and Photosynthetic Efficiency Under Heat Stress by Xi Zhu, Yasir Majeed, Kaitong Wang, Xiaoqin Duan, Nengkang Guan, Junfu Luo, Haifei Zheng, Huafen Zou, Hui Jin, Zhuo Chen, Yu Zhang

“…Downregulation of antioxidant-related genes impaired ROS scavenging capacity and declines in photosynthetic efficiency, growth, and biomass, accompanied by elevated H₂O₂ and MDA accumulation, highlighting the essential role of <i>StMAPKK1</i> in heat stress adaptation. …”
Get full text

Quantitative analysis of mammalian translation initiation sites by FACS‐seq by William L Noderer, Ross J Flockhart, Aparna Bhaduri, Alexander J Diaz de Arce, Jiajing Zhang, Paul A Khavari, Clifford L Wang

“…Abstract An approach combining fluorescence‐activated cell sorting and high‐throughput DNA sequencing (FACS‐seq) was employed to determine the efficiency of start codon recognition for all possible translation initiation sites (TIS) utilizing AUG start codons. …”
Get full text

Polysomnographic evaluation of sleep quality and quantitative variables in patients of hypothyroidism by Manogna Ghantasala, Nitin A. John, Madhuri Taranikanti, Prafull Kamble, Madhusudan Umesh, Archana Gaur, M. Kalpana, Vandana S. Daulatabad, Anish Singhal, Vidya Ganji, Jyoti John, Naveen A. Ravi, Estelle H. Earl, Harkrishna Dadi

“…Objectives: To evaluate sleep quality and quantitative variables in patients of clinical and subclinical hypothyroidism. …”
Get full text

The intersectional implications of a quantitative epistemology in pain care and research by Michelle Charette, Gabi Schaffzin

“…The method does not exist in a vacuum but along a historical trajectory that we believe to be worth unpacking.Aims We seek to highlight (1) the problematics associated with a systemic reliance on quantitative tools that are themselves validated via statistical methods; (2) what alternatives already exist, regardless of their logistical shortcomings; and (3) the actual and possible consequences of continuing a trajectory of data-based pain rating.Methods We present historical and contemporary case studies through theoretical frames that help the reader understand the social construction of pain as a phenomenon whose quantification has been justified with statistical approaches.Results Relying on quantitative data for a pain rating that is perceived as more valid, reliable, and efficient—a triad that has come to represent the ideal pain measurement instrument—risks entrenching both patient/participant and clinician/researcher in systems of computation and control. …”
Get full text

The Evaluation and Quantitation of Dihydrogen Metabolism Using Deuterium Isotope in Rats. by Radomir Hyspler, Alena Ticha, Henk Schierbeek, Alexander Galkin, Zdenek Zadak

“…<h4>Principal conclusions</h4>According to our findings, hydrogen may be an efficient, non-toxic, highly bioavailable and low-cost antioxidant supplement for patients with pathological conditions involving ROS-induced oxidative stress.…”
Get full text

Qualitative and Quantitative Analysis of Graphene-Based Adsorbents in Wastewater Treatment by P. Jayakaran, G. S. Nirmala, L. Govindarajan

Get full text

Deep learning classification of lipid droplets in quantitative phase images. by Luke Sheneman, Gregory Stephanopoulos, Andreas E Vasdekis

“…We report the application of supervised machine learning to the automated classification of lipid droplets in label-free, quantitative-phase images. By comparing various machine learning methods commonly used in biomedical imaging and remote sensing, we found convolutional neural networks to outperform others, both quantitatively and qualitatively. …”
Get full text

Quantitative prediction of optical static refractive index in complex oxides by Lan Yang, Xiao Zhou, Xudong Ni, Li Huang, Lianduan Zeng, Zhongyang Wang, Jun Song, Tongxiang Fan

Get full text

Approaches to Quantitative Estimation of Intellectual Capital in Highly-Technological Companies by V. V. Sokolyanskiy, V. N. Kovnir, N. A. Hveckovics

“…The ability to use intellectual assets effectively predetermines competitiveness and efficiency of highly-technological companies. Thus key stakeholders face the problem of estimating quantitative parameters of intellectual capital (IC) in the process of setting-up such enterprises, especially for managing the company value. …”
Get full text

Quantitative Analysis of the Determinants of NBA Player Performance and Market Value by Lin Chuhao

Get full text

InDel polymorphisms in quantitative posttransplant chi merism evaluation by I. M. Barkhatov, A. I. Shakirova, A. V. Evdokimov, D. E. Ershov, O. G. Smykova, L. S. Zubarovskaya, B. V. Afanasyev

Get full text