bluuebunny/crossref_metadata_2025_split huggingface dataset:
New ABL1 Kinase Domain Mutations in BCR::ABL1‐Positive Acute Lymphoblastic Leukemia
Authors: Li Zixuan , Peng Danyue , Deng Jun , Xiong Lv , Yin Ping , Hu Jing , Qian Chenjing , Yao Lan , Yin Hua , Hong Mei , Wu Qiuling 
Published: October 2024

ABSTRACTBackgroundSince the development of the first‐generation Tyrosine Kinase Inhibitor (TKI), it has played a crucial role in the treatment of BCR::ABL1‐positive acute lymphoblastic leukemia (ALL) and chronic myeloid leukemia (CML). However, ABL1 kinase domain (ABL1 KD) mutations confer resistance to several TKIs. These mutations have been extensively studied in chronic myeloid leukemia (CML) but less so in BCR::ABL1‐positive acute lymphoblastic leukemia (ALL).MethodsOur study aimed to analyze the the ABL1 KD mutations in 97 consecutive newly‐diagnosed adults with BCR::ABL1‐positive ALL before therapy, in cytogenetic complete remission and at relapse with next generation sequencing (NGS). The relationship between ABL1 KD mutations and TKI selection was also analyzed.ResultsPreviously unreported ABL1 KD mutations R239G, F401V/L, R516L and K262T were the most prevalent in pre‐therapy and cytogenetic remission samples, whereas T315I/P and P‐loop mutations were most prevalent in relapse samples. R239G, F401V/L, R516L and K262T are related to the BCR::ABL1 structure, whereas T315I/P and P‐loop mutations directly alter kinase activity. BaF3 cells transfected with ABL1 KD F401V, K262T, R239G, or R516L mutations were resistant to imatinib but strongly inhibited by olverembatinib with IC50 values of 0.73 to 1.52nM. Meanwhile, olverembatinib had advantages in increasing complete molecular response (CMR) and good prognosis.ConclusionOverall, our findings indicate the prevalence and impact of new ABL1 KD mutations in BCR::ABL1‐positive ALL patients, highlighting the necessity for effective therapies targetingthese mutations.
Coupling Conversion of CO2 and High‐Carbon Alkane to CO and Gasoline
Authors: Tao Shenghui , Liu Shimin , Zhang Liping , Li Teng , Qiu Bowen , Li Guomin , Shi Feng , Cui Xinjiang 
Published: October 2024

AbstractCatalytic conversion of CO2 to valuable products is a promising way to reduce anthropogenic CO2 emission. Herein, a strategy for coupling conversion of CO2 and high‐carbon alkane to CO and gasoline is developed, which is a feasible choice for the combination of CO2 recycling and petroleum refining. The CO2 conversion reaches 2.6% under mild condition (270 °C), and the selectivity of gasoline in the cracking products exceeds 70 wt%. Additionally, the introduction of CO2 improves the selectivity of aromatic hydrocarbons and increases the octane number of gasoline. Mechanism studies indicate that synergistic effect between Brønsted acid centers and Ni sites on the Beta zeolite supported Ni (20 wt%) catalyst (20Ni/β) plays the key role in alkane cracking and CO2 reduction. Notably, 13CO2 isotopic experiments show that the hydrogen produced during the aromatization can be captured by CO2, inhibiting undesired hydrogen transfer pathways and enhanced the yield of aromatics, while CO2 is converted into valuable CO.
Transition Metal (Co, Ni, Fe) Selenides by Selenization of Gallic Acid based MOFs used as Na‐Ion Battery Anodes
Authors: Aydin Meral , Devic Thomas , Şems Ahsen Ali , Gautier Nicolas , Demir‐Cakan Rezan 
Published: October 2024

AbstractSodium‐ion batteries (NIBs) are gaining momentum, thanks to the increasing demand for energy storage devices and the abundant reserves and low sodium cost. Transition metals are well‐established materials due to their high conductivity and electrochemical activity. In this work, metal selenides (MSex) (M: Ni, Co, Fe) are obtained by facile selenization in a single step of transition gallic acid based metal organic frameworks (MOFs) under Ar flow at 600 °C. As the powders undergo selenization, the resulting MSex particles are encapsulated within the amorphous carbon network formed by the decomposition of the gallate ligand. The microstructures are examined by HR‐TEM analyses and the characteristic interplanar spacing of each transition metal selenide is measured and found to coincide with the XRD pattern. Meanwhile, the specific surface areas were measured as 121, 152, and 155 m2/g for CoSe2, NiSe and FeSe, respectively. The resulting NiSe/C, CoSe2/C and FeSe/C nanomaterials are tested as NIB negative electrodes and are shown to have a capacity of 315, 312, and 363 mAh/g, respectively, after 100 cycles at a current density of 100 mA/g while Na‐ion diffusion coefficients (DNa+) are calculated in the range of 10−10–10−7 cm2/s by galvanostatic intermittent titration (GITT) technique.
Theoretical and Experimental Insights into Dendrite Growth in Lithium‐Metal Electrode
Authors: Choobar Behnam Ghalami , Hamed Hamid , Yari Saeed , Safari Mohammadhosein 
Published: October 2024

AbstractA stable lithium‐metal electrode can enable the shift from the Li‐ion batteries to the next generation chemistries such as Li−S and Li−O2 with significant gains in the energy density and sustainability. This transition, however, is hindered by the dendrite formation, high chemical reactivity, and volume changes of the Li electrode. Although recent advancements in computational and experimental research have deepened our understanding of these issues, the primary obstacles to the commercialization of the lithium‐metal batteries (LMBs) still persist. To address these challenges, a synergistic approach that combines computational and experimental strategies shows great promise. In this regard, this paper reviews the current experimental and theoretical understanding of the lithium‐metal electrodes in view of the initiation and growth mechanisms of the lithium dendrites and interface instability. Leveraging the strengths of both approaches can offer a holistic insight into the LMB performance and guide the development of innovative designs for electrolytes and electrodes that can enhance the stability and performance of the LMBs.
Interface and doping engineering of V2C‐MXene‐based electrocatalysts for enhanced electrocatalysis of overall water splitting
Authors: Wu Yousen , Li Jinlong , Sui Guozhe , Chai Dong‐Feng , Li Yue , Guo Dongxuan , Chu Dawei , Liang Kun 
Published: October 2024

AbstractThe restacking and oxidizable nature of vanadium‐based carbon/nitride (V2C‐MXene) poses a significant challenge. Herein, tellurium (Te)‐doped V2C/V2O3 electrocatalyst is constructed via mild H2O2 oxidation and calcination treatments. Especially, this work rationally exploits the inherent easy oxidation characteristic associated with MXene to alter the interfacial information, thereby obtaining stable self‐generated vanadium‐based heterointerfaces. Meanwhile, the microetching effect of H2O2 creates numerous pores to address the restacking issues. Besides, Te element doping settles the issue of awkward levels of absorption/desorption ability of intermediates. The electrocatalyst obtains an unparalleled hydrogen evolution reaction and oxygen evolution reaction with the overpotential of 83.5 and 279.8 mV at −10 and 10 mA cm−2, respectively. In addition, the overall water‐splitting device demonstrates a low cell voltage of 1.41 V to obtain 10 mA cm−2. Overall, the inherent drawbacks of MXene can be turned into benefits based on the planning strategy to create these electrocatalysts with desirable reaction kinetics.
Carboxyl‐Group‐Bearing Metal Corroles of Cobalt, Manganese and Copper for Electrocatalytic Hydrogen Evolution
Authors: Chen Feng , Wu Ling‐Wei , Liu Zhen‐Wu , Yan Qiao‐Wei , Si Li‐Ping , Zhan Shu‐Zhong , Liu Hai‐Yang 
Published: October 2024

Abstract5,15‐bis(perfluorophenyl)‐10‐(4‐carboxyphenyl) corrole and its Co(III), Mn(III), and Cu(III) corrole complexes were synthesized. The electrocatalytic hydrogen evolution reaction (HER) of these metal corrole complexes was investigated using different proton sources (AcOH, trifluoroacetic acid, and TsOH) in an organic dimethylformamide solvent. The electrocatalytic HER may proceed through EECC, EECEC, or EEECEC pathways (where E represents electron transfer and C represents proton binding) depending on the acidity and concentration of the proton source used. The Co corrole complex exhibits remarkable hydrogen production performance, achieving a turnover frequency of 201 s−1 and a catalytic efficiency of 1.00. The examined metal corrole complexes also exhibit good HER activity in aqueous solution, with their catalytic activity following an order of 1‐Co>1‐Cu>1‐Mn in both organic and aqueous phases.
Electricity‐Driven Strain‐Release Cascade Cyclization of Bicyclo[1.1.0]butane (BCB): Stereoselective Synthesis of Functionalized Spirocyclobutyl Oxindoles
Authors: Maity Rajib , Paul Sudipta , Sen Anupam , Garain Sukla , Maji Biplab 
Published: October 2024

AbstractSpirocyclobutyl oxindoles, characterized by their unique three‐dimensional structures, are valuable building blocks for many pharmacophores and drug units. However, stereoselective synthetic strategies for these scaffolds remain underdeveloped, with most existing methods relying on transition metal catalysts and stoichiometric redox reagents. In this work, we introduce an electrochemical strain‐release driven cascade spirocyclization of bicyclo[1.1.0]butane (BCB) derivatives for the stereoselective synthesis of functionalized spirocyclobutyl oxindoles. Tetrabutylammonium bromide serves a dual purpose as both a supporting electrolyte and brominating agent. The method offers a broad substrate scope, high atom economy, and excellent diastereoselectivity. The stereoselectivity of the product is controlled by minimizing the dipolar repulsion between the amide C=O and the C−Br bonds. We also explored the methodology′s versatility by applying it to various functionalizations and demonstrated its scalability for practical use. The efficient derivatization of the products allowed for the rapid creation of a diverse library of functionalized spirocyclobutyl oxindoles.
Optimized beamforming vector and antenna selection using autoencoder with Bayesian RNN and hybrid heuristic algorithm for MIMO systems
Authors: Thirupathi Sivakumar , Ranganathan Kavitha Krishnasamy 
Published: October 2024

SummaryWireless communication systems depend on channel state information (CSI). However, the CSI collection is a significant barrier to achieving high performance. Present wireless communication models mainly rely on many antennas and related signal dispensation for increasing effectiveness. User mobility, the usage of greater frequencies, and a better number of antennas contribute to beamforming and beam management in these networks. Therefore, an improved hybrid heuristic algorithm is proposed here for providing optimized Joint beam forming and antenna selection (JBAS) in a multi‐input multi‐output (MIMO) model. The major novelty of the research work is to jointly perform the beam forming and antenna selection in MIMO that effectively enhanced the performance of the wireless transmission system. The major intention of this paper is to optimize the beamforming vectors and antennae by using the designed algorithm, where the spectral efficiency gets maximized. Initially, the data is collected by varying the number of users, locations, and sampling points, which is optimally selected by developing the hybrid reptile search‐based lion optimization algorithm (HRS‐LOA). Once it is collected, the relevant CSI is considered. This state of information is fed as input to the Auto Encoder with Bayesian Recurrent Neural Network (AE‐BRNN). Finally, through the network, the optimized value of the beamforming vector and antenna is obtained, which is useful to increase the sum rate/spectral efficiency. From the numerical results, the recommended model attained a spectral efficiency of 30 bits/s/Hz, which is higher than the BWO‐AE‐BRNN with 13%, RSO‐AE‐BRNN with 16%, RSA‐AE‐BRNN with 17%, and LA‐AE‐BRNN with 40% respectively.
Smartphone automated motor and speech analysis for early detection of Alzheimer's disease and Parkinson's disease: Validation of TapTalk across 20 different devices
Authors: Li Renjie , Huang Guan , Wang Xinyi , Lawler Katherine , Goldberg Lynette R. , Roccati Eddy , St George Rebecca J. , Aiyede Mimieveshiofuo , King Anna E. , Bindoff Aidan D. , Vickers James C. , Bai Quan , Alty Jane 
Published: October 2024

AbstractINTRODUCTIONSmartphones are proving useful in assessing movement and speech function in Alzheimer's disease and other neurodegenerative conditions. Valid outcomes across different smartphones are needed before population‐level tests are deployed. This study introduces the TapTalk protocol, a novel app designed to capture hand and speech function and validate it in smartphones against gold‐standard measures.METHODSTwenty different smartphones collected video data from motor tests and audio data from speech tests. Features were extracted using Google Mediapipe (movement) and Python audio analysis packages (speech). Electromagnetic sensors (60 Hz) and a microphone acquired simultaneous movement and voice data, respectively.RESULTSTapTalk video and audio outcomes were comparable to gold‐standard data: 90.3% of video, and 98.3% of audio, data recorded tapping/speech frequencies within ± 1 Hz of the gold‐standard measures.DISCUSSIONValidation of TapTalk across a range of devices is an important step in the development of smartphone‐based telemedicine and was achieved in this study.Highlights
TapTalk evaluates hand motor and speech functions across a wide range of smartphones.
Data showed 90.3% motor and 98.3% speech accuracy within +/–1 Hz of gold standards.
Validation advances smartphone‐based telemedicine for neurodegenerative diseases.
ATN blood biomarkers are related to digital cognitive assessment in type 1 diabetes
Authors: Fonseca Luciana Mascarenhas , Beeri Michal Schnaider , Hawks Zoë W. , Jung Lanee , Cleveland Michael , Delgado Nikki , Bulger Jane , Grinspoon Elizabeth , Janess Kamille , Sliwinski Martin J. , Weinstock Ruth S. , Chhatwal Jasmeer P. , Kivisäkk Pia , Germine Laura Thi , Chaytor Naomi S. 
Published: October 2024

AbstractINTRODUCTIONAssociations between amyloid‐tau‐neurodegeneration (ATN) plasma biomarkers and cognition have not been characterized in adults with type 1 diabetes (T1D).METHODSUsing data from participants in the Glycemic Variability and Fluctuations in Cognitive Status in Adults with T1D (GluCog) study (N = 114), we evaluated associations between phosphorylated tau (pTau)181, pTau217, β‐amyloid 42/40 ratio, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) and self‐administered digital cognitive tests, adjusting for age, sex, education, comorbidities (e.g., kidney disease), and glycemic indices.RESULTSHigher concentrations of pTau181 and GFAP were associated with slower responses on working memory tasks (pTau181: β = 0.261; p = 0.007; GFAP: β = 0.175, p = 0.036), and higher β‐amyloid 42/40 ratio was associated with better vocabulary (β = 0.260, p = 0.009).DiscussionDigital cognitive performance was associated with several ATN plasma biomarkers in T1D adults. Prospective studies are needed to understand the utility of these biomarkers in T1D.Highlights
There is an increase in life expectancy for individuals with type 1 diabetes (T1D).
Few studies investigate the relationship between T1D and neurodegeneration.
We characterize the relation between ATN plasma biomarkers and cognitive function.
Digital cognitive performance was associated with plasma biomarkers in T1D adults.
Comparison of GARP and MaxEnt in Modeling Current and Future Geographic Distribution of Ceracris nigricornis Walker (Acrididae, Orthoptera) in China
Authors: Fu Chun , Wen Xuanye , Huang Tingting , Wang Yanli , Liu Xiu , Jiang Na , Wang Rulin , Zhao Jinpeng 
Published: October 2024

ABSTRACTCeracris nigricornis Walker is an insect of the Acrididae, which can harm bamboo, rice, corn, sorghum and other crops, and can cause serious economic losses. In this study, based on 234 occurrence sites of C. nigricornis obtained from the Global Biodiversity Information Facility and literature, and data of three future climate scenarios presented by CMIP6, two niche models (GARP, MaxEnt) were used to predict the suitable area of C. nigricornis in China. The result shows that the main environmental factors affecting the distribution of C. nigricornis are min temperature of coldest month (bio6), mean temperature of coldest quarter (bio11), precipitation of driest month (bio14) and precipitation of wettest quarter (bio16). From the result of MaxEnt model, it can be seen that the suitable area of C. nigricornis in China is 128.91 × 104 km2 under current scenario. It will decrease by 3.19% in the 2050s and then increase by 12.04% in the 2090s under the SSP1‐2.6 scenario, increase by 5.79% in the 2050s and then decrease by 7.53% in the 2090s under the SSP2‐4.5 scenario, and increase by 33.03% in 2050s and then decrease by 23.31% in the 2090s under SSP5‐8.5 scenario. From the result of GARP model, it can be seen that the suitable area of C. nigricornis in China is 166.09 × 104 km2 under current scenario. It will increase by 8.41% in 2050s and then continue to increase by 6.11% in 2090s under SSP1‐2.6 scenario, increase by 23.84% in the 2050s and then decrease by 0.88% in the 2090s under the SSP2‐4.5 scenario, and increase by 34.37% in 2050s and then decrease by 1.75% in 2090s under SSP5‐8.5 scenario. The boundaries of suitable areas will expand to the north and southwest of China under future climate change scenarios, specially in Sichuan, Chongqing and Yunnan. Local forestry authorities should strengthen the monitoring of bamboo forests to prevent the damage caused by the introduction of C. nigricornis.
Comparative Analyses of Lycodon rufozonatus and Lycodon rosozonatus Gut Microbiota in Different Regions
Authors: Zhu Fei , Sun Ke , Zhang He , Lu Jing , Guo Peng , Zhang Jiaqi , Xu Yu , Lyu Bing 
Published: October 2024

ABSTRACTThe interactions between hosts and the gut microbiota are intricate and can significantly affect the ecology and evolution of both parties. Various host traits, including taxonomy, diet, social behaviour, and external factors such as prey availability and the local environment, all play an important role in shaping composition and diversity of the gut microbiogta. In this study, we explored the impact of intestinal microorganisms on the host in adapting to their respective ecological niches in two species of snakes. We collected feces from Lycodon rufozonatus and Lycodon rosozonatus from different geographical locations and used 16S rRNA gene sequencing technology to sequence the v3‐v4 region. The results revealed that there was no significant difference in the alpha diversity of intestinal microorganisms between L. rufozonatus and L. rosozonatus. The gut microbiota of all individuals comprised four main phyla: Pseudomonadota, Bacteroidota, Bacillota, and Actinomycetota. At the genus level, the genus Salmonella dominated the enterobacterial microbiota in the samples from Hainan, while there was no obvious dominant genus in the enterobacterial microbiota of the samples from the other four localities. Comparative analysis of enzyme families annotated to the gut microbiota between L. rufozonatus and L. rosozonatus from the four sampling regions by CAZy carbohydrate annotation revealed that nine enzyme families differed significantly in terms of glycoside hydrolases (GHs). In addition, we compared the composition of gut microbial communities between L. rufozonatus and L. rosozonatus and investigated the impact of the differences on their functions. Our results will provide insights into the coevolution of host and gut microbes.
Climate and management changes over 40 years drove more stress‐tolerant and less ruderal weed communities in vineyards
Authors: Bopp Marie‐Charlotte , Kazakou Elena , Metay Aurélie , Maillet Jacques , Quidoz Marie‐Claude , Genty Léa , Fried Guillaume 
Published: October 2024

AbstractSpontaneous plant communities have undergone considerable constraints due to human‐mediated changes. Understanding how plant communities are shifting in response to land management and climate changes is necessary to predict future ecosystem functioning and improve the resilience of managed ecosystems, such as agroecosystems. Using Mediterranean weed communities as models of managed plant communities in a climate change hotspot, we quantified the extent to which they have shifted from the 1980s to the 2020s in response to climate and management changes in vineyards. The weed communities of the same 40 vineyards in the Montpellier region were surveyed using the same protocol in spring, summer, and autumn, for two years, with a 40‐year interval (1978–1979 vs. 2020–2021). In four decades, the annual range of temperatures (i.e., the difference between the warmest month's and the coldest month's mean temperatures) increased by 1.2°C and the summer temperatures by 2°C. Weed management diversified over time with the adoption of mowing that replaced the chemical weeding of interrows. Chemical weeding is now mostly limited to the area under the row. Current weed communities were 41% more abundant, 24% more diverse, and with a less even distribution of abundance across species than the 1980s communities at the vineyard level. Modern communities were composed of more annual species (57% of annual species in the 1980s vs. 80% in the 2020s) with lower community‐weighted seed mass and were composed of fewer C4 species. They had higher community‐weighted specific leaf area, higher leaf dry matter content, and lower leaf area than the 1980s weed communities. At the community level, the onset of flowering was earlier and the duration of flowering was longer in the 2020s. Climate change induced more stress‐tolerant communities in the 2020s while the diversification of weed management practices favored less ruderal communities. This study shows that plant communities are shifting in response to climate change and that land management is a strong lever for action to model more diverse and eventually more desirable weed communities in the future.