Dynamics of soil fertility and rice productivity in irrigated rice fields under different cropping patterns by Rufaidah Qonita Muslim, Agus Suprihatin, Anden Siti Fatimah, Waluyo Waluyo, Suparwoto Suparwoto, Jumakir Jumakir, Yustisia Yustisia, Niluh Putu Sri Ratmini, Budi Raharjo

“…These differences in cropping patterns will affect the soil's nutrient dynamics and rice productivity. …”
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Food consumption patterns in different regions of the Kingdom of Saudi Arabia: Household cross- sectional study by Randah M. Alqurashi, Samar M. Abdalla, Albandari Bin Ammar, Israa M. Shatwan, Abdulrahman A. Alsayegh, Aseel N. Alnasser, Jewaher T. Alfadhliah, Ghadir A. Fallata, Omar A. Alhumaidan, Nahla M. Bawazeer

“…This study investigated food consumption patterns in the Kingdom of Saudi Arabia by categorizing them into ten primary food groups. …”
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Growing-Related Changes in Arterial Properties of Healthy Children, Adolescents, and Young Adults Nonexposed to Cardiovascular Risk Factors: Analysis of Gender-Related Differences by S. Curcio, V. García-Espinosa, M. Arana, I. Farro, P. Chiesa, G. Giachetto, Y. Zócalo, D. Bia

“…Conclusion. Gender-related differences in arterial characteristics of adults can be explained on the basis of different growing-related patterns between boys and girls, with no existing differences in prepubertal ages.…”
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INTELLECT DEVELOPMENT IN THE GROWING-UP PROCESS by E. M. Revenko

“…As a result, the obvious differences in students’ intellect capacities in the secondary and high school become less evident at the university level.The author points out the novelty of differentiated analysis of intellectual indices dynamics, substantiating the assumption of individual typical patterns of intellect development.The research outcomes make a foundation for the theory of individual and typological options (trajectories) of intellect development, and guarantee a differentiated approach to students’ education according to the rate and tempo specifics of intellectual maturity.…”
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Different nitrogen uptake patterns of plant and soil microorganisms in the forest-grassland transition zone on the Loess Plateau by Lina Wang, Xu Deng, Ying Zhou, Xueqi Geng, Zeling Zhang, Yakun Tang

“…IntroductionIt is unclear whether plants and microorganisms achieve niche complementarity by taking up different inorganic nitrogen (N) forms to alleviate N competition, particularly in N–limited regions.MethodsThis paper conducted a 15-day 15N tracer study (15NH4NO3 or 15NH4NO3) in situ to quantitatively calculate the uptake rates of plants and microorganisms in four stands (pure Hippophae rhamnoides L, pure Pinus tabuliformis Carrière, mixed H. rhamnoides–P. tabuliformis, and Artemisia gmelinii Weber ex Stechm grassland) in the forest–grassland transition zone on the Loess Plateau during the growing season. …”
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The difference in cultivated land soil quality: a comparison between the north and south sides of the Tianshan Mountains by Yumeng Zheng, Yunxia Li, Wenxin Liu, Hong Chen, Mengjie Liu, Tianjiang Duan, Fei Liang

“…Abstract There are significant regional disparities between the northern and southern sides of the Tianshan Mountains, which the cultivated land soil quality shows different characteristics. In order to further understand the soil quality difference of the northern and southern sides of the Tianshan Mountains, we analyzed the influences of long-term drip irrigation (DI) in northern Xinjiang (NX) and drip irrigation during the growth season combined with flood irrigation in the non-growing season (DF) in southern Xinjiang (SX) on soil physical and chemical properties. …”
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The histological growth patterns in liver metastases from colorectal cancer display differences in lymphoid, myeloid, and mesenchymal cells by Gemma Garcia‐Vicién, Núria Ruiz, Patrick Micke, José Carlos Ruffinelli, Kristel Mils, María Bañuls, Natalia Molina, Miguel A. Pardo, Laura Lladó, Artur Mezheyeuski, David G. Molleví

“…Abstract Colorectal liver metastases grow following different histologic growth patterns (HGPs), classified as desmoplastic and nondesmoplastic (dHGP, non‐dHGP), being the latter associated with worst prognosis. …”
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Profitability Analysis of Tree Growing in the Southern Highlands of Tanzania by Leopold Pascal Lusambo, Suzana Samson Nyanda, David Gongwe Mhando

“…The possible explanation of this situation could be that tree growers have not invested much the benefits they get from tree growing into asset endowment. ANOVA results on household income revealed a similar pattern except in Njombe DC where there was a statistical significant difference in household income between tree growers and non-tree growers (F (1, 64) = 5.989, P=0.017). …”
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Gene expression in uterine leiomyoma from tumors likely to be growing (from black women over 35) and tumors likely to be non-growing (from white women over 35). by Barbara J Davis, John I Risinger, Gadisetti V R Chandramouli, Pierre R Bushel, Donna Day Baird, Shyamal D Peddada

“…Growth rates for leiomyoma were on average much higher from older black women than for older white women, and we now report gene expression pattern differences in tumors from these two groups of study participants. …”
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Radiological Features of Changes in the Lungs Caused by Fast- or Slow-Growing Nontuberculous Mycobacteria by R. B. Amansakhedov, L. I. Dmitrieva, T. G. Smirnova, A. A. Veshkin, A. E. Ergeshov

“…Despite the similarities of clinical and radiological patterns of NTM, we established some distinguished features for slow-growing and fast-growing types.…”
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Quantitative Comparison of Age‐Related Development of Oral Functions During Growing Age by Kiichiro Mizokami, Syunnosuke Tohyama, Hiroyuki Kanzaki, Yoji Sasaki, Mao Katayama, Minami Seki, Haruna Rikitake, Syoutaro Ueda, Toshiko Sekiya, Hiroshi Tomonari

“…Our findings provide valuable insights into the developmental patterns of oral functions during the growing years.…”
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Biflavonoid Profiling of <i>Juniperus</i> Species: The Influence of Plant Part and Growing Location by Barbara Medvedec, Iva Jurčević Šangut, Armin Macanović, Erna Karalija, Dunja Šamec

“…In order to determinate the influence of growing location, we also analyzed <i>J. communis</i> samples collected from different locations. …”
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Increased Contribution of Extended Vegetation Growing Season to Boreal Terrestrial Ecosystem GPP Enhancement by Meng Yu, Yunfeng Cao, Jiaxin Tian, Boyu Ren

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Peri-urbanisation in Surakarta City and Economic Transformation in the Fast-Growing Region of Sukoharjo Regency by Wisnu Pradoto, Budi Setiyono, Hadi Wahyono, Mack Joong Choi

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Efficiency of growing various soybeans varieties, depending on the effect of micronutrient fertilizers and growth regulators by М. П. Байда

“…The article presents the results of studying the efficiency of growing different varieties of soybeans. It was found that in the cultivar ‘Ustia’ the best values of assimilation of photosynthetically active radiation were obtained for the applications of Yara Vita Mono Molitrak in the budding phase (0.25 l/ha) with growth regulator Radostym, and Yara Vita Mono Molitrak in the budding phase (0.25 l/ha) + in the flowering phase (0.25 l/ha) with two studied growth regulators. …”
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Emotional Experience and Consequences of Growing Up in a Family with Alcoholism in Adult Children of Alcoholics by Barbara Simonič, Elżbieta Osewska

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Unveiling the Impact of LED Light on Growing Carrot Taproots: A Novel Hydroponic Cultivation System by Masaru Sakamoto, Ayuhiko Funaki, Fumiya Sakagami, Taichi Kaida, Takahiro Suzuki

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Planting System and Cultivar Influence Olive Key-Pests Infestation in an Olive-Growing Vocated Area by Michele Cutrone, Francesco Maldera, Francesco Nicolì, Eustachio Tarasco, Juan F. Hermoso, Agustí Romero, Salvatore Camposeo

“…Additional research will be necessary to deepen the understanding of these key pests and their interactions within different olive-growing systems.…”
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Mineral Content of Four Mexican Edible Flowers Growing in Natural Conditions and Backyards from Indigenous Communities by Rubí Marcos-Gómez, Araceli M. Vera-Guzmán, Mónica L. Pérez-Ochoa, Laura Martínez-Martínez, Sanjuana Hernández-Delgado, David Martínez-Sánchez, José L. Chávez-Servia

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Change in Fractional Vegetation Cover and Its Prediction during the Growing Season Based on Machine Learning in Southwest China by Xiehui Li, Yuting Liu, Lei Wang

“…Next, we constructed four machine learning models—light gradient boosting machine (LightGBM), support vector regression (SVR), <i>k</i>-nearest neighbor (KNN), and ridge regression (RR)—along with a weighted average heterogeneous ensemble model (WAHEM) to predict growing-season FVC in SWC from 2000 to 2023. Finally, the performance of the different ML models was comprehensively evaluated using tenfold cross-validation and multiple performance metrics. …”
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