Marine ecological information prediction by using adjacent location spatiotemporal deep learning model with ensemble learning techniques by Yue-Shan Chang, Shu-Ting Huang, Basanta Haobijam, Satheesh Abimannan, Takayuki Kushida

“…Accurate prediction of sea surface temperature (SST) and tidal height (TH) is essential to address these challenges. Recently, many studies have used machine learning or deep learning to predict SST and TH. …”
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Reducing the dietary starch:protein ratios in low-protein diets enhanced the growth performance of goslings from 1 to 28 days of age by Xucheng Zheng, Qian Lu, Chunhui Huang, Usman Nazir, Zhi Yang, Haiming Yang, Zhiyue Wang

“…The results showed that: reducing the S: P ratio at the same dietary protein level increased weight gain (WG), average daily gain (ADG), and average daily feed intake (ADFI) of goslings (P < 0.05). …”
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The potential of supplementing compound organic trace elements at lower levels in Chinese yellow- feathered broiler diets, part II: Impacts on growth performance, gut health, intes... by Xiaoyan Nie, Fei Zhao, Yucheng Yin, Qi Lu, Yang Dai, Rui Wang, Yiwen Ji, Huihua Zhang, Cui Zhu

“…A total of 960 one day old male broilers were randomly assigned to 6 treatments, among which birds were fed with the basal diets (negative control, NC), or supplemented with 1,000 mg/kg (positive control, PC), 300, and 500 mg/kg ITM or OTM, respectively. …”
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Genetic determinants of skin ageing: a systematic review and meta-analysis of genome-wide association studies and candidate genes by Chloe Wong, Jun Yan Ng, Yang Yie Sio, Fook Tim Chew

“…Main body A total of 48 studies were included, revealing 30 loci that were confirmed to be associated with skin ageing by multiple studies (e.g., AFG3L1P: odds ratio 1.133 95% confidence interval [1.044, 1.222]; BPIFA3: 1.859 [1.567, 2.151]; CLPTML1: 1.164 [1.0.99, 1.229]; CPNE7: 0.905 [0.852–0.958]; DEF8: 1.186 [1.042, 1.331]; IRF4: 1.260 [1.025, 1.495]; MYO16: 2.303 [1.697, 2.908]; PRDM16: 1.105 [1.084, 1.127]; RORA: 1.391 [1.206, 1.577]; SPG7: 0.922 [0.897, 0.947]; SPON1: 2.214 [1.204, 3.225]; SPTLC1: 1.464 [1.432, 1.495]; TYR: 1.175 [1.007, 1.343]). …”
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Polydeoxynucleotide-Loaded Visible Light Photo-Crosslinked Gelatin Methacrylate Hydrogel: Approach to Accelerating Cartilage Regeneration by Sunjae Park, Youngjun Son, Jonggyu Park, Soyoon Lee, Na-Hyeon Kim, Se-Na Jang, Tae-Woong Kang, Jeong-Eun Song, Gilson Khang

“…They showed sustained PDRN release and biocompatibility, with the 14% gelMA-PDRN composition performing best. Glycosaminoglycan (GAG) activity was higher in PDRN-loaded hydrogels, indicating a positive effect on cartilage formation. …”
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Optimizing Flammulina velutipes residue use: impact on health metrics and performance in three-yellow chickens by Yuanxiao Li, Yuanxiao Li, Dan Liu, Wang Li, Wang Li, Longmei Zhao, Pinghua Cao, Yanbo Ma, Yanbo Ma, Ke Ding, Cai Zhang, Cai Zhang, Ning Liu

“…Additionally, serum interleukin-1 (IL-1) levels decreased, while immunoglobulin G (IgG), immunoglobulin A (IgA) and interleukin 10 (IL-10) levels significantly increased in the FVR groups. …”
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Virulence profile of carbapenem-resistant Klebsiella pneumoniae strains by an in vivo model of Galleria mellonella by María Guembe, Rama Hafian, Marta Díaz-Navarro, Andrés Visedo, Flavio De Maio, Fulvia Pimpinelli, Ilaria Cavallo, Mauro Truglio, Francesca Sivori, Enea Gino Di Domenico

“…Lethality curves were generated using the G. mellonella model, with survival monitored hourly from 16 to 48 hours. …”
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Impact of dietary mulberry (Morus alba) fruit extract on the growth performance, skin color, and immune response of fancy carp (Cyprinus carpio) by Wassana Prisingkorn, Prasoborn Rinthong, Narong Kamolrat, Pattama Wiriyapattanasub, Sutee Wongmaneeprateep, Jariyavadee Suriyaphan, Apichet Pholoeng, Eakapol Wangkahart

“…The results showed that fish fed Mull1 % exhibited improved growth performance (FBW, WG, ADG, FCR) compared to control and Mull2 % groups (P < 0.05), although survival rates did not differ significantly among groups (P > 0.05). …”
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Dietary Fe-Gly supplementation attenuates enterotoxigenic Escherichia coli (ETEC)-induced inflammation response and intestinal barrier dysfunction in piglets by Qing Gao, Qing Gao, Qing Gao, Yilong Zhang, Yabin Wu, Dianchao Gu, Junzhou Chen, Conghui Yin, Hao Wu, Dan Zhu, Daiwen Chen, Aimin Wu

“…The study found that adding 50 mg of Fe-Gly to the diet significantly increased ADFI and ADG by 30.6 and 35.3%, respectively (p &lt; 0.05), and alleviated the issues of diarrhea and reduced growth performance caused by ETEC infection. …”
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Interleukin‐37 promotes DMBA/TPA skin cancer through SIGIRR‐mediated inhibition of glycolysis in CD103+DC cells by Fan‐lian Zeng, Xiao‐yan Wang, Ya‐wen Hu, Zhen Wang, Ya Li, Jing Hu, Jia‐dong Yu, Pei Zhou, Xiu Teng, Hong Zhou, Hua‐ping Zheng, Fu‐lei Zhao, Lin‐na Gu, Cheng‐cheng Yue, Shu‐wen Chen, Juan Cheng, Yan Hao, Qi‐xiang Zhao, Chen Zhang, Song Zou, Zhong‐lan Hu, Xiao‐qiong Wei, Xiao Liu, Guo‐lin Li, Nong‐yu Huang, Wen‐ling Wu, Yi‐fan Zhou, Wei Li, Kaijun Cui, Jiong Li

“…Here, we report that IL‐37b‐transgenic mice (IL‐37tg) treated with the carcinogenic 7,12‐dimethylbenzoanthracene (DMBA)/12‐o‐tetradecylphorbol‐13‐acetate (TPA) exhibited enhanced skin cancer and increased tumor burden in the skin by inhibiting the function of CD103+ dendritic cells (DCs). …”
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A low-protein soybean-free diet improves carcass traits and meat quality and modulates the colonic microbiota in Daweizi pigs by Haohua Fu, Taoming Yang, Hengjia Ni, Hengjia Ni, Jing Li, Fenfen Liu, Jingbo Liu, Yulong Yin, Yulong Yin

Subjects: “…fatty-type pig…”
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Effects of organic acid blends on the growth performance, intestinal morphology, microbiota, and serum lipid parameters of broiler chickens by Swapnali Waghmare, Mahesh Gupta, K.B. Bahiram, J.P. Korde, Rekha Bhat, Yashwant Datar, Pushpendra Rajora, M.M. Kadam, Megha Kaore, N.V. Kurkure

“…Each group was further divided into 3 replicates, and each further divided into three replicates of ten bird. The birds in Group 1 (T1) were fed a basal diet supplemented with plain drinking water, those in Group 2 (T2) received basal feed supplemented with Acidapure powder (1 kg/MT feed) and plain drinking water, those in Group 3 (T3) received basal feed supplemented with Acidapure liquid in the drinking water (0.2 ml/l water), and those in Group 4 (T4) received basal feed supplemented with Acidapure powder (1 kg/MT feed) and Acidapure liquid in the drinking water (0.2 ml/l water). …”
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Identification of novel serum lipid metabolism potential markers and metabolic pathways for oral cancer: a population-based study by Na Wang, Yujia Chen, Jianli Lin, Yulan Lin, Haoyuan Song, Weihai Huang, Liling Shen, Fa Chen, Fengqiong Liu, Jing Wang, Yu Qiu, Bin Shi, Ling Li, Lisong Lin, Lizhen Pan, Baochang He

“…Methods A total of 41 OC patients and 41 controls were recruited from a hospital in Southeast China to examine the serum lipidomics by Ultra-high Performance Liquid Chromatography Q Exactive Mass Spectrometry (UHPLC-QE-MS). Results The total serum lipid profile showed that triglycerides accounted for the highest proportion of total metabolites, reaching 35.90% of the total. …”
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Small emission sources in aggregate disproportionately account for a large majority of total methane emissions from the US oil and gas sector by J. P. Williams, J. P. Williams, M. Omara, M. Omara, A. Himmelberger, D. Zavala-Araiza, K. MacKay, K. MacKay, J. Benmergui, J. Benmergui, J. Benmergui, M. Sargent, S. C. Wofsy, S. P. Hamburg, S. P. Hamburg, R. Gautam, R. Gautam

“…We find that of the total 14.6 (12.7–16.8) <span class="inline-formula">Tg yr⁻¹</span> oil–gas methane emissions in the CONUS for the year 2021, 70 % (95 % confidence intervals: 61 %–81 %) originate from facilities emitting <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>&lt;</mo><mn mathvariant="normal">100</mn><mspace width="0.125em" linebreak="nobreak"/><mrow class="unit"><mi mathvariant="normal">kg</mi><mspace linebreak="nobreak" width="0.125em"/><msup><mi mathvariant="normal">h</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="61pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="19fcbf30880ac03389a7071bd56f55a2"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-1513-2025-ie00001.svg" width="61pt" height="15pt" src="acp-25-1513-2025-ie00001.png"/></svg:svg></span></span> and 30 % (26 %–34 %) and <span class="inline-formula">∼80 %</span> (68 %–90 %) originate from facilities emitting <span class="inline-formula">&lt;10</span> and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M5" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>&lt;</mo><mn mathvariant="normal">200</mn><mspace linebreak="nobreak" width="0.125em"/><mrow class="unit"><mi mathvariant="normal">kg</mi><mspace linebreak="nobreak" width="0.125em"/><msup><mi mathvariant="normal">h</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="61pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="08f24a8bb4b8ec74d183291f532cf7c9"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-1513-2025-ie00002.svg" width="61pt" height="15pt" src="acp-25-1513-2025-ie00002.png"/></svg:svg></span></span>, respectively. …”
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Growth performance of neonatal Holstein heifers fed acidified waste milk containing essential oil blend and encapsulated butyrate alone or in combination by Ting Liu, Zhihao Luo, Peng Li, Shuru Cheng, Jianping Zhu, David.P. Casper

“…Heifer birth weight was a significant covariate with heifers fed EO, C4, and E4, demonstrating greater BW (42.4, 47.0, 46.6, and 48.0 kg for CON, EO, C4, and E4, respectively) gains and ADG (605.0,672.5, 665.7, and 686.7 g/d, respectively) compared with heifers fed CON. …”
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