Challenges of Engineering Skillsets Essential for Driving Circularity of Smart Cities by Benjamin Neale, Sakdirat Kaewunruen, Dan Li, Ayfer Donmez Cavdar, Rand Askar, Tatjana Tambovceva, Diana Bajare

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A next-generation Fab library platform directly yielding drug-like antibodies with high affinity, diversity, and developability by Fortunato Ferrara, Adeline Fanni, Andre A. R. Teixeira, Esteban Molina, Camila Leal-Lopes, Ashley DeAguero, Sara D’Angelo, M. Frank Erasmus, Laura Spector, Luis Antonio Rodriguez Carnero, Jianquan Li, Thomas J. Pohl, Nikolai Suslov, Klervi Desrumeaux, Conor McMahon, Sagar Kathuria, Andrew R. M. Bradbury

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Increments in cytokines and matrix metalloproteinases in skeletal muscle after injection of tissue-damaging toxins from the venom of the snake Bothrops asper by Alexandra Rucavado, Teresa Escalante, Catarina F. P. Teixeira, Cristina María Fernándes, Cecilia Díaz, José María Gutiérrez

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Carthamin yellow-loaded glycyrrhetinic acid liposomes alleviate interstitial fibrosis in diabetic nephropathy by Yifei Wang, Wenfang He, Peiyao Ren, Li Zhao, Danna Zheng, Juan Jin

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Characteristics of climate resource utilization and economic benefits in new planting pattern for fresh faba bean and fresh maize in Yangtze River Delta by Bo Li, Qingming Ren, Xiaoxu Shi, Wenyuan Shen, Yafeng Wei, Fei Xiong

“…The faba bean/maize-maize triple-crop planting pattern increased the annual radiation production efficiency by 0.18 g·MJ−1 to 0.31 g·MJ−1, the annual temperature production efficiency by 2.70 kg·hm−2·°C−1 to 3.78 kg·hm−2·°C−1, and the annual precipitation production efficiency by 4.55 kg·mm−1·hm−2 to 7.20 kg·mm−1·hm−2. …”
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Identification of serum tRNA-derived small RNAs biosignature for diagnosis of tuberculosis by Zikun Huang, Qing Luo, Cuifen Xiong, Haiyan Zhu, Chao Yu, Jianqing Xu, Yiping Peng, Junming Li, Aiping Le

“…The accuracy of the three-tsRNA biosignature for TB diagnosis was evaluated in the training (n = 289), test (n = 124), and prediction (n = 292) groups. By utilizing cross-validation with a random forest algorithm approach, the training cohort achieved a sensitivity of 100% and specificity of 100%. …”
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FTO attenuates TNF-α-induced damage of proximal tubular epithelial cells in acute pancreatitis-induced acute kidney injury via targeting AQP3 in an N6-methyladenosine-dependent man... by Xinghui Li, Qi Liang, Lu Liu, Shujun Chen, Yong Li, Yu Pu

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Ni-kshay Poshan Yojana: receipt and utilization among persons with TB notified under the National TB Elimination Program in India, 2022 by Kathiresan Jeyashree, Jeromie W V Thangaraj, Devika Shanmugasundaram, G Sri Lakshmi Priya, Sumit Pandey, Venkateshprabhu Janagaraj, Prema Shanmugasundaram, Sabarinathan Ramasamy, Joshua Chadwick, Sivavallinathan Arunachalam, Rahul Sharma, Vaibhav Shah, Aniket Chowdhury, Swati Iyer, Raghuram Rao, Sanjay K Mattoo, Manoj V Murhekar, NPY Evaluation Group

“…The median (IQR) time to receipt of first instalment was 105 (60,174) days. Non-receipt was significantly higher among PwTB from states with low TB score (aPR = 2.34; 95%CI 1.51, 3.62), who do not have bank account (aPR = 2.48; 95%CI 1.93, 3.19) and with unknown/missing diabetic status (aPR = 1.69; 95%CI 1.11, 2.55). …”
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Addition of PARP1-inhibition enhances chemoradiotherapy and thermoradiotherapy when treating cervical cancer in an in vivo mouse model by Marloes IJff, Xionge Mei, Enzo M. Scutigliani, Hans M. Rodermond, Gregor G. W. van Bochove, Przemek M. Krawczyk, Nicolaas A. P. Franken, Lukas J. A. Stalpers, Johannes Crezee, Arlene L. Oei

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Prognostic Factors for COVID-19 Hospitalized Patients with Preexisting Type 2 Diabetes by Yuanyuan Fu, Ling Hu, Hong-Wei Ren, Yi Zuo, Shaoqiu Chen, Qiu-Shi Zhang, Chen Shao, Yao Ma, Lin Wu, Jun-Jie Hao, Chuan-Zhen Wang, Zhanwei Wang, Richard Yanagihara, Youping Deng

“…Older age (HR = 1.076, 95% CI = 1.014–1.143, p=0.016), elevated glucose level (HR = 1.153, 95% CI = 1.038–1.28, p=0.0079), increased serum amyloid A (SAA) (HR = 1.007, 95% CI = 1.001–1.014, p=0.022), diabetes treatment with only oral diabetes medication (HR = 0.152, 95%CI = 0.032–0.73, p=0.0036), and oral medication plus insulin (HR = 0.095, 95%CI = 0.019–0.462, p=0.019) were independent prognostic factors. …”
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Clinical analysis and risk factors associated with poor prognosis in nontuberculous mycobacterial infection by Jinjing Chai, Sujie Zhang, Chong Ma, Qimin Mei, Tao Liu, Jihai Liu, Yecheng Liu, Huadong Zhu

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Office BP measurement using conical cuffs in children and adolescents with obesity by Kleo Evripidou, Julio Alvarez-Pitti, Ana De Blas-Zapata, Athanasia Chainoglou, Ioannis Goulas, Karel Herberigs, Gilad Hamdani, Stella Stabouli

“…Arm circumference AC was measured in all participants, and the appropriate cuff size was selected for both conical and cylindrical cuffs.Results Mean participants’ age was 11.8[Formula: see text]2.5 years, mean BMI was 28.8[Formula: see text]3.4 kg/m2, mean BMI z-score was 2.12[Formula: see text]0.32, and mean AC was 30.0[Formula: see text]3.6 cm. …”
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Revealing the fireworks-set-off pattern of spatial multi-function expansion across cities leveraging big geodata – a case of the Greater Bay Area, China by Ku Gao, Xiaomei Yang, Zhihua Wang, Yueming Liu, Huifang Zhang, Xiaoliang Liu, Qingyang Zhang

“…In this study, we mapped urban land use with fine functions leveraging big geodata for the Greater Bay Area (GBA), China, during 1980–2020, and identified across-cities SMFE pattern and its ecological effects. …”
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Impact of the COVID-19 pandemic on type 2 diabetes care and factors associated with care disruption in Kenya and Tanzania by Richard E. Sanya, Caroline H. Karugu, Peter Binyaruka, Shukri F. Mohamed, Lyagamula Kisia, Peter Kibe, Irene Mashasi, Grace Mhalu, Christopher Bunn, Manuela Deidda, Frances S. Mair, Eleanor Grieve, Cindy M. Gray, Sally Mtenga, Gershim Asiki

“…Tanzania had a lower likelihood of severe disruption among insured patients (aOR, 0.51[95%CI, 0.33–0.79]; p = 0.003) but higher likelihood among patients with low economic status (aOR, 1.81[95%CI, 1.14–2.88]; p = 0.011). Conclusions COVID-19 disrupted diabetes care more in Kenya than Tanzania. …”
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miR-16-5p aggravates sepsis-associated acute kidney injury by inducing apoptosis by Han Li, Junyan Duan, Tongtong Zhang, Yingjie Fu, Yue Xu, Hongjun Miao, Xuhua Ge

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Changes in PD-1 expression on T lymphocyte subsets and related immune indicators before and after definitive chemoradiotherapy for esophageal squamous cell carcinoma by Xueling Shi, Hongyu Zhao, Jiaqi Yu, Peng Cai, Shixiang Zhou, Ning Yang, Duojie Li

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Role of microvascular pericyte dysfunction in antibody-mediated rejection following kidney transplantation by Jie Xu, Junyan Pu, Hao Chen, Li Sun, Shuang Fei, Zhijian Han, Jun Tao, Xiaobing Ju, Zijie Wang, Ruoyun Tan, Min Gu

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AhR Activation Transcriptionally Induces Anti-Microbial Peptide Alpha-Defensin 1 Leading to Reversal of Gut Microbiota Dysbiosis and Colitis by Manikandan Palrasu, Khadija Kakar, Amarnath Marudamuthu, Hamida Hamida, Shruthi Thada, Yin Zhong, Shanieka Staley, Philip Brandon Busbee, Jie Li, Monica Garcia-Buitrago, Mitzi Nagarkatti, Prakash Nagarkatti

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Vaccination and Infection as Causative Factors in Japanese Patients With Rasmussen Syndrome: Molecular Mimicry and HLA Class I by Yukitoshi Takahashi, Kazumi Matsuda, Yuko Kubota, Jiro Shimomura, Etsuko Yamasaki, Tatsuya Kudo, Katsuyuki Fukushima, Hitoshi Osaka, Noriyuki Akasaka, Atsushi Imamura, Shinji Yamada, Naomi Kondo, Tateki Fujiwara

“…The relative risks of HLA class I genotypes for Rasmussen syndrome are 6.1 (A*2402), 6.4 (A*0201), 6.3 (A*2601) and 11.4 (B*4601). The relative risks of HLA class I-A and B haplotypes are infinity (A*2601+B*5401), 21.1 (A*2402+B*1501), 13.3 (A*2402+B*4801) and 5.1 (A*2402+B*5201). …”
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Antibodies Against β2-Glycoprotein I Complexed With an Oxidised Lipoprotein Relate to Intima Thickening of Carotid Arteries in Primary Antiphospholipid Syndrome by P. R. J. Ames, J. Delgado Alves, L. R. Lopez, F. Gentile, A. Margarita, L. Pizzella, J. Batuca, G. Scenna, V. Brancaccio, E. Matsuura

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