bluuebunny/crossref_metadata_2025_split huggingface dataset:
In Situ Cocktail Nanovaccine for Cancer Immunotherapy
Authors: Liu Mohan , Xie Daoyuan , Hu Die , Zhang Rui , Wang Yusi , Tang Lin , Zhou Bailing , Zhao Binyan , Yang Li 
Published: September 2023

AbstractIn situ vaccination is a desirable strategy for cancer immunotherapy due to its convenience and capacity to target tumor antigens. Here, an in situ nanovaccine based on a cationic peptide with cholesterol‐modified, DP7‐C, for cancer immunotherapy is rationally designed, and developed a cancer nanovaccine that is easy to preparate. The nanovaccine includes cocktail small interfering RNAs (siRNAs) and immunologic adjuvant CpG ODNs, has synergistic effect in the cancer treatment. This nanovaccine can induce tumor cell death, promote antigen presentation and relieve immune suppression in the tumor microenvironment (TME). Moreover, this nanovaccine is administered to CT26 (hot) and B16F10 (cold) tumor model mice, in which it targeted the primary tumors and induced systemic antitumor immunity to inhibit metastasis. It is validated that the nanovaccine can convert cold tumors into hot tumors. Furthermore, the nanovaccine increased the immune response to anti‐PD‐1 therapy by modulating the TME in both CT26‐ and B16F10‐tumor‐bearing mice. The siRNA cocktail/CpG ODN/self‐assembling peptide nanovaccine is a simple and universal tool that can effectively generate specific tumor cell antigens and can be combined with immuno‐oncology agents to enhance antitumor immune activity. The versatile methodology provides an alternative approach for developing cancer nanovaccines.
Fundamental Limitation in Electrochemical Methane Oxidation to Alcohol: A Review and Theoretical Perspective on Overcoming It
Authors: Kishore M.R. Ashwin , Lee Sungwoo , Yoo Jong Suk 
Published: September 2023

AbstractThe direct conversion of gaseous methane to energy‐dense liquid derivatives such as methanol and ethanol is of profound importance for the more efficient utilization of natural gas. However, the thermo‐catalytic partial oxidation of this simple alkane has been a significant challenge due to the high C−H bond energy. Exploiting electrocatalysis for methane activation via active oxygen species generated on the catalyst surface through electrochemical water oxidation is generally considered as economically viable and environmentally benign compared to energy‐intensive thermo‐catalysis. Despite recent progress in electrochemical methane oxidation to alcohol, the competing oxygen evolution reaction (OER) still impedes achieving high faradaic efficiency and product selectivity. In this review, an overview of current progress in electrochemical methane oxidation, focusing on mechanistic insights on methane activation, catalyst design principles based on descriptors, and the effect of reaction conditions on catalytic performance are provided. Mechanistic requirements for high methanol selectivity, and limitations of using water as the oxidant are discussed, and present the perspective on how to overcome these limitations by employing carbonate ions as the oxidant.
Recent Progress in Flexible and Wearable All Organic Photoplethysmography Sensors for SpO2Monitoring
Authors: Dcosta Jostin Vinroy , Ochoa Daniel , Sanaur Sébastien 
Published: September 2023

AbstractFlexible and wearable biosensors are the next‐generation healthcare devices that can efficiently monitor human health conditions in day‐to‐day life. Moreover, the rapid growth and technological advancements in wearable optoelectronics have promoted the development of flexible organic photoplethysmography (PPG) biosensor systems that can be implanted directly onto the human body without any additional interface for efficient bio‐signal monitoring. As an example, the pulse oximeter utilizes PPG signals to monitor the oxygen saturation (SpO2) in the blood volume using two distinct wavelengths with organic light emitting diode (OLED) as light source and an organic photodiode (OPD) as light sensor. Utilizing the flexible and soft properties of organic semiconductors, pulse oximeter can be both flexible and conformal when fabricated on thin polymeric substrates. It can also provide highly efficient human‐machine interface systems that can allow for long‐time biological integration and flawless measurement of signal data. In this work, a clear and systematic overview of the latest progress and updates in flexible and wearable all‐organic pulse oximetry sensors for SpO2monitoring, including design and geometry, processing techniques and materials, encapsulation and various factors affecting the device performance, and limitations are provided. Finally, some of the research challenges and future opportunities in the field are mentioned.
Unlocking the Potential of CuAgZr Metallic Glasses: A Comprehensive Exploration with Combinatorial Synthesis, High‐Throughput Characterization, and Machine Learning
Authors: Wieczerzak Krzysztof , Groetsch Alexander , Pajor Krzysztof , Jain Manish , Müller Arnold M. , Vockenhuber Christof , Schwiedrzik Jakob , Sharma Amit , Klimashin Fedor F. , Michler Johann 
Published: September 2023

AbstractIn this work, the CuAgZr metallic glasses (MGs) are investigated, a promising material for biomedical applications due to their high strength, corrosion resistance, and antibacterial activity. Using an integrated approach of combinatorial synthesis, high‐throughput characterization, and machine learning (ML), the mechanical properties of CuAgZr MGs are efficiently explored. The investigation find that post‐deposition oxidation in inter‐columnar regions with looser packing causes high oxygen content in Cu‐rich regions, significantly affecting the alloys' mechanical behavior. The study also reveals that nanoscale structural features greatly impact plastic yielding and flow in the alloys. ML algorithms are tested, and the multi‐layer perceptron algorithm produced satisfactory predictions for the alloys' hardness of untested alloys, providing valuable clues for future research. The work demonstrates the potential of using combinatorial synthesis, high‐throughput characterization, and ML techniques to facilitate the development of new MGs with improved strength and economic feasibility.
Metaverse Wearables for Immersive Digital Healthcare: A Review
Authors: Kim Kisoo , Yang Hyosill , Lee Jihun , Lee Won Gu 
Published: September 2023

AbstractThe recent exponential growth of metaverse technology has been instrumental in reshaping a myriad of sectors, not least digital healthcare. This comprehensive review critically examines the landscape and future applications of metaverse wearables toward immersive digital healthcare. The key technologies and advancements that have spearheaded the metamorphosis of metaverse wearables are categorized, encapsulating all‐encompassed extended reality, such as virtual reality, augmented reality, mixed reality, and other haptic feedback systems. Moreover, the fundamentals of their deployment in assistive healthcare (especially for rehabilitation), medical and nursing education, and remote patient management and treatment are investigated. The potential benefits of integrating metaverse wearables into healthcare paradigms are multifold, encompassing improved patient prognosis, enhanced accessibility to high‐quality care, and high standards of practitioner instruction. Nevertheless, these technologies are not without their inherent challenges and untapped opportunities, which span privacy protection, data safeguarding, and innovation in artificial intelligence. In summary, future research trajectories and potential advancements to circumvent these hurdles are also discussed, further augmenting the incorporation of metaverse wearables within healthcare infrastructures in the post‐pandemic era.
Machine Learning‐Enabled Tactile Sensor Design for Dynamic Touch Decoding
Authors: Lu Yuyao , Kong Depeng , Yang Geng , Wang Ruohan , Pang Gaoyang , Luo Huayu , Yang Huayong , Xu Kaichen 
Published: September 2023

AbstractSkin‐like flexible sensors play vital roles in healthcare and human–machine interactions. However, general goals focus on pursuing intrinsic static and dynamic performance of skin‐like sensors themselves accompanied with diverse trial‐and‐error attempts. Such a forward strategy almost isolates the design of sensors from resulting applications. Here, a machine learning (ML)‐guided design of flexible tactile sensor system is reported, enabling a high classification accuracy (≈99.58%) of tactile perception in six dynamic touch modalities. Different from the intuition‐driven sensor design, such ML‐guided performance optimization is realized by introducing a support vector machine‐based ML algorithm along with specific statistical criteria for fabrication parameters selection to excavate features deeply concealed in raw sensing data. This inverse design merges the statistical learning criteria into the design phase of sensing hardware, bridging the gap between the device structures and algorithms. Using the optimized tactile sensor, the high‐quality recognizable signals in handwriting applications are obtained. Besides, with the additional data processing, a robot hand assembled with the sensor is able to complete real‐time touch‐decoding of an 11‐digit braille phone number with high accuracy.
Regulation of Ion Homeostasis for Enhanced Tumor Radio‐Immunotherapy
Authors: Qian Rui , Yi Xuan , Liu Teng , Chen Hua , Wang Yuhong , Hu Lin , Guo Lingchuan , Yang Kai , Deng Haijun 
Published: September 2023

AbstractIntra/extracellular ion content affects the growth and metastasis of tumor cells, as well as the efficacy of various antitumor therapies. Herein, a carbonic anhydrase inhibitor (CAI) is loaded onto pH‐responsive calcium carbonate (CaCO3) nanoparticles and then modify theses nanoparticles with liposomes to obtain biocompatible CaCO3/CAI@Lipsome (CCL) for enhance tumor radio‐immunotherapy. CCL can specially decompose in tumor microenvironment, releasing calcium ion (Ca2+) and CAI, as well as increasing the pH value of extracellular fluid. CAI restrains the flow of hydrogen ion (H+) inside and outside the tumor cells, resulting in the reversal of tumor acidic microenvironment and the increase of intracellular H+, both of which can improve the sensitivity of tumor to radiotherapy. Afterward, the increased intracellular H+ together with radiotherapy‐causes reactive oxygen species promotes calcium influx, leading to cellular calcium overload. Moreover, the CCL‐tailored content of H+ and Ca2+ strengthens radiotherapy‐induced immunogenic cell death and dendritic cell maturation, amplifying systemic anti‐tumor adaptive immunity. Meanwhile, macrophages in the CCL‐treated tumors are polarized from pro‐tumor M2 to anti‐tumor M1 under X‐ray exposure, owing to the neutralization of tumor acidic microenvironment and enhances Ca2+ content. Therefore, multi‐directional regulation of the intra/extra tumor cell pH/calcium by simple nano‐preparation would provide a powerful way to improve the efficacy of radio‐immunotherapy.
Micellar Solubilization for High‐Energy‐Density Aqueous Organic Redox Flow Batteries
Authors: Kim Youngsu , Kwon Giyun , Park Sung‐O , Kim Heechan , Kim Jihyeon , Kim Kyoungoh , Yoo Jaekyun , Lee Donghwan , Kang Kisuk 
Published: September 2023

AbstractHigh solubility of active materials is crucial for achieving a high‐energy‐density catholyte/anolyte in redox flow batteries. However, solubility largely depends on the compatibility with electrolyte, limiting the types of redox‐active materials that can be used in aqueous electrolytes. Herein, a universal strategy is introduced to attain a high solubility of active materials regardless of the compatibility with aqueous electrolytes while preserving their intrinsic redox activity via micellar solubilization. Leveraging the amphiphilic nature of surfactant molecules, insoluble redox‐active materials are encapsulated by surfactants to be dissolvable with significant solubility. As a demonstration, it is showed that an order‐of‐magnitude solubility enhancement can be achieved for (2,2,6,6‐tetramethylpiperidin‐1‐yl)oxyl (TEMPO) in aqueous catholyte (≈0.8 m). Consequently, the catholyte performance of TEMPO is fully harnessed, leading to an energy density enhancement of more than ten times compared to that in bare electrolyte. It is also observed that micellar solubilization unexpectedly improves the cycle stability, attributed to the mitigation of intermolecular side reactions and reduced crossover. Finally, the fundamental electrochemical reaction mechanism of micelle‐encapsulated TEMPO is discussed. This strategy offers a new insight regarding the solubility and stability of the catholyte/anolyte, and is expected to be applicable to other redox‐active molecules, opening up an unexplored micellar chemistry in redox flow batteries.
Ultra‐Stable Zinc Metal Anodes Enabled by Uniform Zn Deposition on A Preferential Crystal Plane
Authors: Zeng Wei , Wei Pingdong , Chen Juner , Wang Guangzhao , Yan Yu , Yu Huihuang , Yang Chunyang , Zhang Guanhua , Jiang Hanqing 
Published: September 2023

AbstractThe unsatisfactory electrochemical performance of Zn metal batteries (ZMBs) caused by uncontrollable Zn dendrite growth and detrimental parasitic reactions has significantly hindered their large‐scale applications. Herein, periodic hemispherical structures with a preferential exposure of Cu (100) crystal plane are designed and obtained using facile photolithography, which is followed by wet etching treatment. An exposed zincophilic Cu (100) crystal plane with low nucleation barriers acts as the preferred deposition site to induce homogeneous Zn deposition. Additionally, the periodic hemispherical structure with an enlarged surface area not only suppresses the Zn dendrite growth by reducing the local current density, but also synergistically buffers the volume expansion during the cycling process. As a result, the as‐prepared faceted Cu hemispherical electrodes achieve ultra‐stable Coulombic efficiency of over 99.9% for 1500 cycles at a current density of 5 mA cm−2. This work has significant potential for the rational design of dendrite‐free Zn anodes to boost their potential for practical applications.
Reevaluation of the degree day base 60°F concept in US cotton (Gossypium hirsutumL.) production
Authors: Raper Tyson B. , Ward Rebecca , Rushing Cheyenne , Brown Steve , Sandlin Tyler , Norton Randy , Hutmacher Bob , Snider John L. , Fromme Dan , Dodds Darrin , Jones Michael , Edmisten Keith , Collins Guy , Byrd Seth , Griffin James , Maeda Murilo , Frame Hunter , Pieralisi Brian , Meeks Calvin , Whitaker Jared , Nichols Robert L. , Morgan Gaylon 
Published: September 2023

AbstractCotton (Gossypium hirsutumL.) management decisions to abet early growth, fruit set, boll maturation, and harvest preparation are often facilitated by prediction of the date when critical developmental stages are reached. In the United States, growing degree days calculated with a base 60°F (DD60s) are commonly used to predict cotton development. Observations suggest development of modern cultivars differs from previously established guidelines. The objectives were to (1) reevaluate DD60s required for an early, mid‐maturing and late maturing cultivar to reach key growth stages across the US Cotton Belt; and (2) determine if predictions of growth stages are strengthened by optimizing base temperature or including an upper threshold by growth stage. During 2018 and 2019, 22 field trials were established in 10 states. Plant growth stages were monitored weekly and air temperature was computed from interpolated surface observations weighted by a physical, geographic model. Observed DD60s to reach growth stages varied slightly by cultivar and region (≤85 DD60s and ≤130 DD60s, respectively). Required DD60s to reach growth stages exceeded most published ranges. Optimization of base temperature and inclusion of an upper threshold by growth stage did not substantially decrease errors in predicting date of growth stage occurrence. The DD55 and DD55 with an upper threshold of 86°F calculations resulted in slightly lower errors in predicting date of growth stage occurrence than the DD60 calculation. Although guidelines should be updated, it is unlikely slight modification in base temperature or upper thresholds will drastically increase the predictive ability over the DD60 calculation.
Environmental clusters defining breeding zones for tropical irrigated rice in Brazil
Authors: Costa‐Neto Germano , Matta David Henriques da , Fernandes Igor Kuivjogi , Stone Luís Fernando , Heinemann Alexandre Bryan 
Published: September 2023

AbstractGeographic and seasonal effects are important in driving selection decisions in rice breeding research. Adopting new strategies for characterizing environmental–phenotype associations is critical to understanding these effects, and the outcomes of their study could reflect the benefits of developing locally adapted cultivars. This study aimed to characterize Brazil's tropical irrigated rice (IR) environment, Latin America's largest rice production system. We integrated unsupervised (K‐means clustering) and supervised (decision tree classifier) algorithms to identify environmental clusters (EC) based on historical yield data. The data set included 31 locations and 471 genotypes from 1982 to 2017. We used environmental features (EF), such as weather and geography, as input variables for our analysis, assuming the model as EC ∼ f (EF). Results indicate that the tropical IR production region can be divided into four primary breeding zones, with temperature emerging as a significant factor in the study area. After employing a linear mixed model analysis, we observed that the current relationship between genetics (G), environmental variation (E), and their interaction (G×E) in Brazil's tropical IR has a 1:6:2 ratio. However, when introducing our data‐driven model based on EC, we reduced this ratio to 1:5:1. Therefore, the selection for local adaptability across a large region became more reliable. Our approach successfully identified EC in Brazil's tropical production region of IR, providing valuable insights for defining breeding zones and identifying more productive and stable seed production fields.
Growth charts in DYRK1A syndrome
Authors: Lanvin Pierre‐Louis , Goronflot Thomas , Isidor Bertrand , Nizon Mathilde , Durand Benjamin , El Chehadeh Salima , Geneviève David , Ruault Valentin , Fradin Mélanie , Pasquier Laurent , Thévenon Julien , Delobel Bruno , Burglen Lydie , Afenjar Alexandra , Faivre Laurence , Francannet Christine , Guerrot Anne‐Marie , Goldenberg Alice , Mercier Sandra , Héron Delphine , Lehalle Daphné , Mignot Cyril , Marey Isabelle , Charles Perrine , Moutton Sébastien , Bézieau Stéphane , Bayat Allan , Piton Amélie , Willems Marjolaine , Vincent Marie 
Published: September 2023

AbstractDYRK1A Syndrome (OMIM #614104) is caused by pathogenic variations in the DYRK1A gene located on 21q22. Haploinsufficiency of DYRK1A causes a syndrome with global psychomotor delay and intellectual disability. Low birth weight, growth restriction with feeding difficulties, stature insufficiency, and microcephaly are frequently reported. This study aims to create specific growth charts for individuals with DYRK1A Syndrome and identify parameters for size prognosis. Growth parameters were obtained for 92 individuals with DYRK1A Syndrome (49 males vs. 43 females). The data were obtained from pediatric records, parent reporting, and scientific literature. Growth charts for height, weight, body mass index (BMI), and occipitofrontal circumference (OFC) were generated using generalized additive models through R package gamlss. The growth curves include height, weight, and OFC measurements for patients aged 0–5 years. In accordance with the literature, the charts show that individuals are more likely to present intrauterine growth restriction with low birth weight and microcephaly. The growth is then characterized by severe microcephaly, low weight, and short stature. This study proposes growth charts for widespread use in the management of patients with DYRK1A syndrome.
Investigation of sex differences in mutation carriers of the Dominantly Inherited Alzheimer Network
Authors: Wagemann Olivia , Li Yan , Hassenstab Jason , Aschenbrenner Andrew J. , McKay Nicole S. , Gordon Brian A. , Benzinger Tammie L. S. , Xiong Chengjie , Cruchaga Carlos , Renton Alan E. , Perrin Richard J. , Berman Sarah B. , Chhatwal Jasmeer P. , Farlow Martin R. , Day Gregory S. , Ikeuchi Takeshi , Jucker Mathias , Lopera Francisco , Mori Hiroshi , Noble James M. , Sánchez‐Valle Raquel , Schofield Peter R. , Morris John C. , Daniels Alisha , Levin Johannes , Bateman Randall J. , McDade Eric , Llibre‐Guerra Jorge J. ,   the Dominantly Inherited Alzheimer Network
Published: September 2023

AbstractINTRODUCTIONStudies suggest distinct differences in the development, presentation, progression, and response to treatment of Alzheimer's disease (AD) between females and males. We investigated sex differences in cognition, neuroimaging, and fluid biomarkers in dominantly inherited AD (DIAD).METHODSThree hundred twenty‐five mutation carriers (55% female) and one hundred eighty‐six non‐carriers (58% female) of the Dominantly Inherited Alzheimer Network Observational Study were analyzed. Linear mixed models and Spearman's correlation explored cross‐sectional sex differences in cognition, cerebrospinal fluid (CSF) biomarkers, Pittsburgh compound B positron emission tomography (11C‐PiB PET) and structural magnetic resonance imaging (MRI).RESULTSFemale carriers performed better than males on delayed recall and processing speed despite similar hippocampal volumes. As the disease progressed, symptomatic females revealed higher increases in MRI markers of neurodegeneration and memory impairment. PiB PET and established CSF AD markers revealed no sex differences.DISCUSSIONOur findings suggest an initial cognitive reserve in female carriers followed by a pronounced increase in neurodegeneration coupled with worse performance on delayed recall at later stages of DIAD.
Comparing the efficacy and safety of low, medium, and high dosages of selexipag for treating pulmonary hypertension: A systematic review and meta‐analysis
Authors: Wang Shang , Yan Yi , Zhang Jian , Yuan Ping , Luo Ci‐Jun , Qiu Hong‐Ling , Li Hui‐Ting , Xu Jian , Wang Lan , Li Tian‐Lan , Jiang Rong 
Published: September 2023

AbstractBackgroundThe maintenance dosage of selexipag is categorized as low, medium or high. In order to assess the efficacy and safety of different dosages of selexipag for the risk stratification of pulmonary arterial hypertension (PAH), we performed a systematic review and meta‐analysis.MethodsStudies assessing PAH risk stratification indices, such as the World Health Organization functional class (WHO‐FC), six‐minute walk distance (6MWD), N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP) level, right atrial pressure (RAP), cardiac index (CI) and mixed venous oxygen saturation (SvO2), were included.ResultsThirteen studies were included. Selexipag led to improvements in the 6MWD (MD: 24.20 m, 95% CI: 10.74–37.67), NT‐proBNP (SMD: −0.41, 95% CI: −0.79–0.04), CI (MD: 0.47 L/min/m2, 95% CI: 0.17–0.77) and WHO‐FC (OR: 0.564, 95% CI: 0.457–0.697). Subgroup analysis demonstrated that all three dosages improved the 6MWD. A moderate dosage led to improvements in the CI (MD: 0.30 L/min/m2, 95% CI: 0.15–0.46) and WHO‐FC (OR: 0.589, 95% CI: 0.376–0.922). Within 6 months of treatment, only the WHO‐FC and CI were significantly improved (OR: 0.614, 95% CI: 0.380–0.993; MD: 0.30 L/min/m2, 95% CI: 0.16–0.45, respectively). More than 6 months of treatment significantly improved the 6MWD, WHO‐FC and NT‐proBNP (MD: 40.87 m, 95% CI: 10.97–70.77; OR: 0.557, 95% CI: 0.440–0.705; SMD: −0.61, 95% CI: −1.17–0.05, respectively).ConclusionsLow, medium, and high dosages of selexipag all exhibited good effects. When treatment lasted for more than 6 months, selexipag exerted obvious effects, even in the low‐dosage group. This finding is important for guiding individualized treatments.