Multi-scale adversarial diffusion network for image super-resolution by Yanli Shi, Xianhe Zhang, Yi Jia, Jinxing Zhao

“…Furthermore, to mitigate blurring artifacts introduced during the denoising process, a high-frequency loss function is proposed, targeting the residuals of high-frequency features between images. …”
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Joint Resource Allocation for V2X Sensing and Communication Based on MADDPG by Zhiyong Zhong, Zhangyou Peng

“…However, this also demands a more intelligent and efficient resource allocation framework for next-generation vehicular networks. …”
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Optimizing Dendritic Cell-Based Immunotherapy: Tackling the Complexity of Different Arms of the Immune System by Ilse Van Brussel, Zwi N. Berneman, Nathalie Cools

“…A better insight in DC immunobiology and function has stimulated many new ideas regarding the potential ways forward to improve DC therapy in a more fundamental way. …”
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Modern problems of artificial reproduction of sturgeon in the Volga‐Caspian basin by L. M. Vasilyeva, N. I. Rabazanov

“…It is necessary to increase funding for research into the reproductive function of females and for artificial generation, as well as for the maintenance of production herds – a golden fund for restoring natural reserves. …”
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ELTD1 inhibits differentiation of hemogenic endothelium progenitors from human embryonic stem cells through the HPIP–Wnt pathway by Qian Luo, Yijin Chen, Honghu Li, Yan Long, Wei Shan, Xiangjun Zeng, Shuyang Cai, Ye Meng, Cong Wei, Yulin Xu, Ruxiu Tie, Yi Luo, Pengxu Qian, Meng Zhang, He Huang

“…We then investigate the impact of ELTD1 on the hematopoietic differentiation of hESCs via gain- and loss-of-function experiments. Knockdown or deletion of ELTD1 mediates hESC hematopoiesis by specifically facilitating the generation of HEPs, thus promoting endothelial-to-hematopoietic transition to generate more hematopoietic cells. …”
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Biotechnology Advances in Natural Food Colorant Acylated Anthocyanin Production by Shaohua Zeng, Shuang Lin, Rong Jiang, Jinrong Wei, Ying Wang

“…ABSTRACT The food application of natural blue colorants such as acylated anthocyanin is becoming increasingly popular due to their safety, nutritional value, organoleptic attributes, and more pH/thermo‐stable properties compared to nonacylated anthocyanins. …”
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Metastable Reprogramming State of Single Transcription Factor-Derived Induced Hepatocyte-Like Cells by Seon In Hwang, Tae Hwan Kwak, Ji Hyun Kang, Jonghun Kim, Hyunseong Lee, Kee-Pyo Kim, Kinarm Ko, Hans R. Schöler, Dong Wook Han

“…These iHeps represent a hepatic state that is more mature compared with iHeps generated with multiple hepatic factors. …”
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A Transient Photoelectric Spiking Neuron Based on a Highly Robust MgO Composite Threshold Switching Memristor for Selective UV Perception by Yaxiong Cao, Rui Wang, Saisai Wang, Tonglong Zeng, Wanlin Zhang, Jing Sun, Xiaohua Ma, Hong Wang, Yue Hao

“…The transient memristor with a MgO:Mg resistive layer implemented by the co‐sputtering process of MgO and Mg targets shows highly robust TS performance, while the ZnO‐based transient photodetector can selectively detect UV light at power densities below 10 mW cm−2. More interestingly, the frequency of the firing spikes generated by artificial photoelectric spiking neuron increases with the enhancement of UV light intensity. …”
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Improved CAR internalization and recycling through transmembrane domain optimization reduces CAR-T cytokine release and exhaustion by Shufeng Xie, Shufeng Xie, Jinlan Long, Ruiheng Wang, Ruiheng Wang, Rufang Xiang, Rufang Xiang, Huajian Xian, Yixin Wang, Weiyu Dou, Wenjie Zhang, Dan Li, Ting Kang, Zhihong Chen, Zhihong Chen, Chunjun Zhao, Zhenshu Xu, Han Liu

“…In this study, we aim to enhance CAR-T cell function by focusing on the solely transmembrane domain design.MethodsUtilizing plasmid construction and lentivirus generation, we get two different transmembrane CAR-T cells [19CAR-T(1a) and 19CAR-T(8α)]. …”
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C-, N-, S-, and F-Doped Anatase TiO2 (101) with Oxygen Vacancies: Photocatalysts Active in the Visible Region by Julio César González-Torres, Enrique Poulain, Víctor Domínguez-Soria, Raúl García-Cruz, Oscar Olvera-Neria

“…The second mechanism, and more efficient for activating the anatase, is to generate localized states in the gap: N-doping creates localized empty states in the bandgap. …”
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Mechanisms of γ-ray irradiation induced oxidation corrosion in SnBi eutectic solder joints: Insights from first-principles calculations by Qilong Guan, Shengli Li, Kai Li, Xuan Li, Ruiqi Wang, Xiaojiu Tang, Chunjin Hang

“…Bi incorporation lowers the work function of the Sn-based solid solution than Bi-based solid solution, making Sn more susceptible to oxidation. …”
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Dissecting the genetic basis of fruiting efficiency for genetic enhancement of harvest index, grain number, and yield in wheat by Dipendra Shahi, Jia Guo, Md Ali Babar, Sumit Pradhan, Muhsin AVCI, Jordan McBreen, Zhao Liu, Guihua Bai, Paul St. Amand, Amy Bernardo, Matthew Reynolds, Gemma Molero, Sivakumar Sukumaran, John Foulkes, Jahangir Khan

“…Fruiting efficiency (FE) is a key trait for increasing GN by making more spike assimilates available to reproductive structures. …”
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Construction of a Dataset for All Expressed Transcripts for Alzheimer’s Disease Research by Zhenyu Huang, Bocheng Shi, Xuechen Mu, Siyu Qiao, Gangyi Xiao, Yan Wang, Ying Xu

“…Accurate identification and functional annotation of splicing isoforms and non-coding RNAs (lncRNAs), alongside full-length protein-encoding transcripts, are critical for understanding gene (mis)regulation and metabolic reprogramming in Alzheimer’s disease (AD). …”
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A Novel Method for Preparing Uniform Micro-Sized Dry Powder Formulations, Including Aggregation-Controlled VHH by Tatsuru Moritani, Hidekazu Masaki, Ryo Yonehara, Takeru Suzuki, Hidenao Arai, Masayuki Tsuchiya, Naoto Nemoto

“…However, this process degraded VHHs or inactivated their function, and ultimately, only about 30% of the original VHHs were functional, whereas the remaining VHHs that were not degraded showed little loss of functionality, even after storage at room temperature for more than two years. …”
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Machine learning-based prediction of FeNi nanoparticle magnetization by Federico Williamson, Nadhir Naciff, Carlos Catania, Gonzalo dos Santos, Nicolás Amigo, Eduardo M. Bringa

“…More than 1600 NPs were created and split into training and testing sets (70%–30% split), with features including the number of Ni/Fe surface and core atoms, potential energy distributions, pair correlation functions, and coordination distributions. …”
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EMG-based body–machine interface for targeted trunk muscle activation by Carolina Correia, Andrea Bandini, Silvestro Micera, Sara Moccia

“…The system utilizes machine learning to generate personalized trunk motion trajectories based on predefined EMG profiles. …”
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Carbon and water footprints within an environmental laboratory: Water, energy, and packaging management strategies by María F. Manobanda-Lisintuña, Cristina A. Villamar-Ayala

“…Environmental laboratories can be spaces where water, energy, and resources can be used more efficiently. The objective of this study is to evaluate the carbon and water footprints present in an environmental laboratory based on water, energy, and resource (packaging) management. …”
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Uncovering soil compaction: performance of electrical and electromagnetic geophysical methods by A. Carrera, A. Carrera, L. Peruzzo, M. Longo, G. Cassiani, F. Morari

“…</p> <p>In this study, we compared the ability of electric and electromagnetic geophysical methods, i.e., electrical resistivity tomography (ERT) and frequency-domain electromagnetic (FDEM) method, to assess the effects caused by both heavy plastic soil deformations generated by a super-heavy vehicle and the more common tractor tramlines on silty-loam soils. …”
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FADA-SMOTE-Ms: Fuzzy Adaptative Smote-Based Methods by Roudani Mohammed, El Moutaouakil Karim

“…In this regard, the <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE is chosen in such a way that the synthetic data is as far as possible from the two closest majority data. More precisely, this method processes into six steps: (a) clustering minority class into <italic>k</italic> groups (b) selecting a safe region (c) selecting random two minority data, (d) finding the M closest majority data to these minority data using original membership functions based on Fuzzy mean and flirting results, (e) finding the <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE producing a synthetic data as close as possible to the minority class and as far as possible from the M majority data by solving a very simple multi-objective mathematical optimization model, and (f) using SMOTE to generate synthetic samples using optimal <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE. …”
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235 Root cause analysis of barriers and facilitators to accrual to a pragmatic, EHR-embedded clinical trial by Lindsay Lennox, Bethany M Kwan, Adit A Ginde, Thomas W. Flaig, Sarah V Kautz, Matthew Mimnall, Andrew Nicklwsky, Goldie Komaie, Christine Velez, Aaron Babour, Laurie Blmberg-Romero, Cecilia C. Low Wang

“…We summarized data from the EHR by eligibility, provider encounters, and alerts, and generated CONSORT diagrams and tables to trace the enrollment pathway. …”
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