bluuebunny/crossref_metadata_2025_split huggingface dataset:
‘S16‐7922C’: A semi‐determinate maturity group IV conventional soybean cultivar with high yield and broad disease resistance
Authors: Chen Pengyin , Shannon J. Grover , Lee Dongho , Vieira Caio Canella , Ali Md Liakat , Scaboo Andrew , Crisel Melissa , Smothers Scotty , Clubb Michael , Selves Stewart , Nguyen Henry , Li Zenglu , Mitchum Melissa Goellner , Bond Jason P. , Meinhardt Clinton G. , Usovsky Mariola , Li Shuxian , Gillen Anne M. , Mengistu Alemu , Zhang Bo , Mozzoni Leandro Angel , Robbins Robert T. , Moseley David 
Published: April 2022

Abstract‘S16‐7922C’ (Reg. no. CV‐545, PI 699902) is a semi‐determinate maturity group IV (relative maturity: 4.9) conventional (nontransgenic) soybean [Glycine max (L.) Merr.] cultivar developed and released by the University of Missouri–Fisher Delta Research Center. S16‐7922C was derived from a cross of ‘S11‐16653C’ × ‘S11‐20124C’ designed to meet the growing demand for nontransgenic, high‐yielding soybean cultivars with resistance to yield‐limiting diseases. S16‐7922C contains seed protein and oil concentrations of 403 and 226 g kg−1, respectively, on a dry weight basis. S16‐7922C is resistant to southern root‐knot nematode, peanut root‐knot nematode, charcoal rot, frogeye leaf spot, and stem canker and moderately resistant to soybean cyst nematode and reniform nematode. It is tolerant to saline soil and moderately tolerant to waterlogging stress. S16‐7922C demonstrated excellent yield potential and adaptability in a total of 110 environments across 12 southern states in 2017–2020. As a high‐yielding soybean cultivar with a broad disease resistance package and high oil concentration, S16‐7922C may be suitable for soybean growers interested in a maturity group IV late nontransgenic soybean cultivar.
Parallel‐reaction monitoring revealed altered expression of a number of epitranscriptomic reader, writer, and eraser proteins accompanied with colorectal cancer metastasis
Authors: Qi Tianyu F. , Tang Feng , Yin Jiekai , Miao Weili , Wang Yinsheng 
Published: April 2022

AbstractRNA contains more than 170 types of chemical modifications, and these modified nucleosides are recognized, installed and removed by their reader, writer, and eraser (RWE) proteins, respectively. Here, we employed a parallel‐reaction monitoring (PRM)‐based targeted proteomic method, in conjunction with stable isotope labeling by amino acids in cell culture (SILAC), to examine comprehensively the differential expression of epitranscriptomic RWE proteins in a matched pair of primary/metastatic colorectal cancer (CRC) cells, namely SW480/SW620. We were able to quantify 113 nonredundant epitranscriptomic RWE proteins; among them, 48 and 5 were up‐ and down‐regulated by >1.5‐fold in SW620 over SW480 cells, respectively. Some of those proteins with marked up‐regulation in metastatic CRC cells, including NAT10, hnRNPC, and DKC1, were documented to assume important roles in the metastasis of CRC and other types of cancer. Interrogation of the Clinical Proteomic Tumor Analysis Consortium data revealed the involvement of DUS1L in the initiation and metastatic transformation of CRC. It can be envisaged that the PRM method can be utilized, in the future, to identify epitranscriptomic RWE proteins involved in the metastatic transformations of other types of cancer.
The aging athlete
Authors: Catapano Michael , Ahmed Marwa , Breslow Rebecca G. , Borg‐Stein Joanne 
Published: April 2022

AbstractAging athletes, those 60 years and older, are a growing population of mature, active individuals who value sports and exercise participation throughout their lifespan. Although recommendations for younger and masters athletes have been extrapolated to this population, there remains a paucity of specific guidelines, treatment algorithms, and considerations for aging athletes. The benefits of living an active lifestyle must be weighed against the risks for unique cardiovascular, metabolic, and musculoskeletal injuries requiring diagnostic and therapeutic interventions. In this article, we review the unique cardiovascular and muscular physiology of aging athletes and how it influences the risk of specific medical conditions. We also discuss general prevention and treatment strategies. Finally, we identify areas of future research priorities and emerging treatments.
Unveiling the effect ofWithania somniferaon neuronal cytoarchitecture and synaptogenesis: A combinedin vitroand network pharmacology approach
Authors: Mitra Sarmistha , Munni Yeasmin Akter , Dash Raju , Sultana Armin , Moon Il Soo 
Published: April 2022

AbstractWithania somnifera(WS), is known for its remarkable contribution in herbal medicine and Ayurveda, which is therapeutically applied to improve memory and anxiety in patients. However, the pharmacological details of this plant on memory boosting yet remained undefined. This study provides mechanistic insights on the effect of ethanol solution extract of the whole plant of WS (WSEE) on neuritogenesis by combiningin vitroandin siliconetwork pharmacology approaches. WSEE promoted significant neuronal growth through early differentiation, axodendritic arborization, and synaptogenesis on primary hippocampal neurons. The network pharmacological study confirmed that the neuritogenic activity is potentially mediated by modulating the neurotrophin signaling pathway, where NRTK1 (TrkA) was revealed as the primary target of WS secondary metabolites. This neurotrophic activity of WSEE was significantly stifled by the presence of TrkA inhibitor, which further confirms the TrkA‐dependent activity of WSEE. In addition, a molecular docking study suggested steroidal lactones present in the WS might act as nerve growth factor (NGF)‐mimetics, activating TrkA by binding to the NGF‐binding domain. As a whole, the findings of the study suggest a significant role of WSEE on neuritogenesis and its potential to function as a therapeutic agent and in drug designing for the prevention and treatment of memory‐related neurological disorders.
The effects of differences in trophectoderm biopsy techniques and the number of cells collected for biopsy on next‐generation sequencing results
Authors: Mizobe Yamato , Kuwatsuru Yukari , Kuroki Yuko , Fukumoto Yumiko , Tokudome Mari , Moewaki Harue , Watanabe Mia , Iwakawa Tokiko , Takeuchi Kazuhiro 
Published: April 2022

AbstractPurposeTo examine how differences in trophectoderm biopsy techniques affect the frequency of mosaic embryos and sequencing results.MethodsWe examined differences in next‐generation sequencing (NGS) analysis results among operators or according to biopsy technique. Additionally, we determined the cut‐off for the number of collected cells to predict the occurrence of mosaicism. We collected cells according to the cut‐off value and examined whether there was a difference in the NGS analysis results between the pulling and flicking methods.ResultsThere was no difference in the NGS analysis results among the operators. Regarding re‐biopsy, changes in the mosaic were observed in all specimens. The cut‐off value for the number of collected cells was five, and when more than five cells were collected, there was no difference in the NGS analysis results between the two methods.ConclusionsWe demonstrated that if trophectoderm biopsy techniques and NGS are stable, the cell collection location has a greater effect on NGS results than the biopsy technique.
Input‐to‐state stability of discrete‐time switched delayed systems with delay‐dependent impulses: Admissible edge‐dependent average impulsive interval
Authors: Gao Lijun , Liu Huiying , Park Ju H. , Cao Zhengbao 
Published: April 2022

AbstractThis article addresses the input‐to‐state stability (ISS) problem for general discrete‐time impulsive and switched delayed systems coupled by delay‐dependent impulses. In our studied systems, the impulsive signal has a large degree of freedom, that is, the impulse effect can occur simultaneously with or different from the switching effect. A new Lyapunov–Krasovskii functional is proposed to deal with the delay effect of switching signal and impulsive jump, which is divided into the delay‐independent part and delay‐dependent part. A new concept named admissible edge‐dependent average impulsive interval (AED‐AII) is set up to characterize the impulse sequence relative to the admissible edge‐dependent average dwell time (AED‐ADT) concept of the switching signal. Based on AED‐ADT approach and AED‐AII technique, some improved sufficient outcomes guaranteeing ISS of discrete‐time impulsive and switched delayed systems are presented, respectively, for stabilizing and destabilizing delay‐dependent impulses. Meanwhile, the relationship among AED‐AII, AED‐ADT, the jump amplitude of switching signal and impulse signal at their respective discrete points, the decay rate of Lyapunov functional for system dynamics is connected to pursue ISS of the whole system. Compared with previous works, our setups enjoy the following characteristics: it thoroughly digs the influence of time delay existing in impulses and system dynamics on the function part of L‐K functional, which are less conservative relative to other works; the proposed AED‐ADT switching signals and AED‐AII jump signals cover a large set of hybrid systems. Two numerical examples are given to illustrate the effectiveness and less conservativeness of the obtained results.
Dissipativity theory for discrete‐time nonlinear stochastic dynamical systems
Authors: Haddad Wassim M. , Lanchares Manuel 
Published: April 2022

AbstractIn this paper, we develop stochastic dissipativity theory for discrete‐time nonlinear dynamical systems expressed by Itô‐type difference equations using basic state properties. Specifically, a stochastic version of dissipativity and losslessness using a state dissipation inequality in expectation for controlled Markov chains is presented. The results are then used to derive extended Kalman–Yakubovich–Popov conditions for characterizing stochastic dissipativity and losslessness in terms of the nonlinear system functions using continuous storage functions. Finally, feedback interconnection stability in probability results are developed generalizing the small gain and positivity theorems to discrete‐time stochastic systems.
Delay effects on the mean‐square stabilization of stochastic systems with input delay
Authors: Sun Xinxin , Li Lin , Liu Mengliang , Wang Hongxia , Hou Jialin 
Published: April 2022

AbstractThis paper studies delay effects on the mean‐square stabilization of stochastic systems with a single input delay. Both continuous‐ and discrete‐time systems are investigated. A continuous‐time system is described by a stochastic differential equation with high‐dimensional Brownian motion. Two conclusions are proved: (1) Once a system is unstabilizable for some value of delay, it will be unstabilizable for any larger delay; (2) If a system is stabilizable for some value of delay, it will be stabilizable in a small neighborhood of that delay. Hence, by excluding the trivial cases that the system is unstabilizable with zero delay and is stabilizable for any delay, there always exists a finite and positive number CM such that the system is stabilizable if and only if the delay is less than CM. Upper bounds of CM are presented. In a special case, an upper bound is given analytically in terms of eigenvalues of the matrix in the drift coefficient before the state. In general cases, upper bounds are given via LMI optimization problems. Two cases in which CM can be computed are studied. In the case that the system has no state‐dependent noise, CM is presented via an LMI optimization problem. In the case that both the state and the control of the system are scalars, CM is expressed analytically. All the above results have counterparts in discrete‐time system.
Population connectivity of aquatic insects in a dam‐regulated, desert river
Authors: Abernethy Erin F. , Muehlbauer Jeffrey D. , Kennedy Theodore A. , Dziedzic Katherine E. , Elder Holland , Burke Molly K. , Lytle David A. 
Published: April 2022

AbstractHumans have exaggerated natural habitat fragmentation, negatively impacting species dispersal and reducing population connectivity. Habitat fragmentation can be especially detrimental in freshwater populations, whose dispersal is already constrained by the river network structure. Aquatic insects, for instance, are generally limited to two primary modes of dispersal: downstream drift in the aquatic juvenile life stages and flight during the terrestrial winged adult stage. Yet the impacts of large hydropower dams can make rivers uninhabitable for incoming (drifting) juvenile insects, with remaining refugia found only in tributaries. The ability of adult aquatic insects to traverse such river stretches in search of suitable tributary habitat likely depends on factors such as species‐specific dispersal ability and distance between tributaries. To explore the intersection of natural and human‐induced habitat fragmentation on aquatic insect dispersal ability, we quantified population genetics of three taxa with varying dispersal abilities, a caddisfly (Hydropsychidae, Hydropsyche oslari), a mayfly (Baetidae: Fallceon quilleri), and a water strider (Veliidae: Rhagovelia distincta), throughout tributaries of the Colorado River in the Grand Canyon, Arizona, USA. Using 2bRAD reduced genome sequencing and landscape genetics analyses, we revealed a strong pattern of isolation by distance among mayfly populations. This contrasts with caddisfly and water strider populations, which were largely panmictic. Analysis of thousands of informative single nucleotide polymorphisms showed that realized dispersal ability may not be accurately predicted by species traits for these widespread species. Principal components analysis revealed a strong division between caddisfly populations upstream and downstream of Havasu Creek (279 km through the 390 km study reach), suggesting that the geography of the Grand Canyon imposes a dispersal barrier for this species. Our use of genetic tools in the Grand Canyon to understand population structure has enabled us to elucidate dispersal barriers for aquatic insects. Ultimately, these data may be useful in informing effective conservation management plans for understudied organisms of conservation interest.
Mixing times of Markov chains for self‐organizing lists and biased permutations
Authors: Bhakta Prateek , Miracle Sarah , Randall Dana , Streib Amanda Pascoe 
Published: April 2022

AbstractWe study the mixing time of a Markov chain on biased permutations, a problem related to self‐organizing lists. We are given probabilities for all such that . The chain iteratively chooses two adjacent elements and , and swaps them with probability . It has been conjectured that is rapidly mixing whenever the set of probabilities are “positively biased,” that is, for all . We define two general classes and give the first proofs that is rapidly mixing for both. We also demonstrate that the chain can have exponential mixing time, disproving the most general version of this conjecture.
Some Bayesian biclustering methods: Modeling and inference
Authors: Chakraborty Abhishek , Vardeman Stephen B. 
Published: April 2022

AbstractStandard one‐way clustering methods form homogeneous groups in a set of objects. Biclustering (or, two‐way clustering) methods simultaneously cluster rows and columns of a rectangular data array in such a way that responses are homogeneous for all row‐cluster by column‐cluster cells. We propose a Bayes methodology for biclustering and corresponding MCMC algorithms. Our method not only identifies homogeneous biclusters, but also provides posterior probabilities that particular instances or features are clustered together. We further extend our proposal to address the biclustering problem under the commonly occurring situation of incomplete datasets. In addition to identifying homogeneous sets of rows and sets of columns, as in the complete data scenario, our approach also generates plausible predictions for missing/unobserved entries in the rectangular data array. Performances of our methodology are illustrated through simulation studies and applications to real datasets.
All Transition Metal Selenide Composed High‐Energy Solid‐State Hybrid Supercapacitor
Authors: Shinde Pragati A. , Chodankar Nilesh R. , Abdelkareem Mohammad Ali , Patil Swati J. , Han Young‐Kyu , Elsaid Khaled , Olabi Abdul Ghani 
Published: April 2022

AbstractTransition metal selenides (TMSs) have enthused snowballing research and industrial attention due to their exclusive conductivity and redox activity features, holding them as great candidates for emerging electrochemical devices. However, the real‐life utility of TMSs remains challenging owing to their convoluted synthesis process. Herein, a versatile in situ approach to design nanostructured TMSs for high‐energy solid‐state hybrid supercapacitors (HSCs) is demonstrated. Initially, the rose‐nanopetal‐like NiSe@Cu2Se (NiCuSe) positive electrode and FeSe nanoparticles negative electrode are directly anchored on Cu foam via in situ conversion reactions. The complementary potential windows of NiCuSe and FeSe electrodes in aqueous electrolytes associated with the excellent electrical conductivity results in superior electrochemical features. The solid‐state HSCs cell manages to work in a high voltage range of 0–1.6 V, delivers a high specific energy density of 87.6 Wh kg−1 at a specific power density of 914.3 W kg−1 and excellent cycle lifetime (91.3% over 10 000 cycles). The innovative insights and electrode design for high conductivity holds great pledge in inspiring material synthesis strategies. This work offers a feasible route to develop high‐energy battery‐type electrodes for next‐generation hybrid energy storage systems.
Pendulum vibration absorber with a nonlinear viscous damping mechanism
Authors: Fallahpasand Sam , Dardel Morteza , Pashaei Mohammad Hadi 
Published: April 2022

SummarySimple pendulum vibration absorbers, as one of the most common models of absorbers, experience nonlinear behaviors in the large amplitude of oscillations, and under such conditions, they are not effective enough and are more prone to lose their stability. To overcome some of these drawbacks, a complementary damping mechanism including two nonlinear elements is introduced. Alongside the ordinary linear viscous damper, a damping mechanism is also utilized to control the oscillations of the dynamic structure exposed to the excitation forces more intense than the ones considered in the optimization. In other words, they make this system more robust and stable in the face of excitations stronger than the presupposed conditions. The complementary elements of this mechanism are proposed to offer an appropriate approximation of various likely models which can be used as practical nonlinear damping mechanisms. The steady‐state solutions of the nonlinear governing equations are achieved with pinpoint precision with the help of the harmonic balance method and more precise approximations of trigonometric functions. To enhance the impacts of this mechanism, optimization is performed for a compound objective function in addition to the conventional one. This study explains how such mechanisms are capable of contributing to the higher robustness and stability of pendulum vibration absorbers under a wider range of excitation intensities. The performance of this absorber is also studied for an N‐story shear structure as a multidegree of freedom (MDOF) system.
SOSTDC1 acts as a tumor inhibitor in acute myeloid leukemia by downregulating the Wnt/β‐catenin pathway
Authors: Li Chengliang , Wang Minjuan , Shi Yingpeng , Xin Hong 
Published: April 2022

AbstractSclerostin domain–containing 1 (SOSTDC1) has been documented as a key tumor‐associated protein that is differentially expressed in multiple malignancies. However, the function of SOSTDC1 in acute myeloid leukemia (AML) is unexplored. The goal of this work was to assess the possible role of SOSTDC1 in AML. Our data showed decreased SOSTDC1 level in bone marrow from AML patients, and patients with low levels of SOSTDC1 had a reduced survival rate. SOSTC1 upregulation restrained the proliferative ability and promoted the apoptotic rate of AML cells. SOSTDC1 suppressed the activation of the Wnt/β‐catenin pathway in AML cells. Reactivation of the Wnt/β‐catenin pathway reversed SOSTDC1‐mediated antitumor effects. SOSTDC1 upregulation weakened the tumorigenicity of AML cells in vivo. Collectively, our work demonstrates that SOSTDC1 has a tumor‐inhibiting role in AML via downregulation of the Wnt/β‐catenin pathway. This work underscores a key function for the SOSTDC1/Wnt/β‐catenin pathway in AML.
Suppression of rhomboid domain‐containing 1 produces anticancer effects in pancreatic adenocarcinoma through affection of the AKT/GSK‐3β/β‐catenin pathway
Authors: Jiang Jiong , Cheng Yan , Dai Shejiao , Zou Baicang , Guo Xiaoyan 
Published: April 2022

AbstractThe protumor role of rhomboid domain‐containing 1 (RHBDD1) has been observed in multiple cancers. However, the relationship between RHBDD1 and pancreatic adenocarcinoma has not been addressed. This project focused on the potential relevance of RHBDD1 in pancreatic adenocarcinoma. Bioinformatic analysis by publicly available data revealed that RHBDD1 was abundantly expressed in pancreatic adenocarcinoma. We further verified that RHBDD1 was expressed highly in clinical specimens of pancreatic adenocarcinoma. The Kaplan–Meier curve demonstrated that high‐RHBDD1 expression was associated with poor prognosis in pancreatic adenocarcinoma patients. The functional studies revealed that depletion of RHBDD1 produced in vitro anticancer effects in pancreatic adenocarcinoma cells, including retardation of proliferation, reduction of metastatic potential, and induction of cell‐cycle arrest at the G0/G1 phase and apoptosis. Mechanistic studies indicated that loss of RHBDD1 affected the activation of β‐catenin via regulation of AKT. Forced expression of β‐catenin reversed the RHBDD1‐loss‐induced anticancer effects in pancreatic adenocarcinoma cells. Crucially, depletion of RHBDD1 retarded the growth of pancreatic adenocarcinoma xenografts in vivo, a phenomenon associated with the AKT/β‐catenin pathway. Collectively, these findings delineated that restraint of RHBDD1 displayed remarkable anticancer effects in pancreatic adenocarcinoma by affecting the AKT/β‐catenin pathway. Our work unveils a pivotal role of RHBDD1 in pancreatic adenocarcinoma and proposes it as a novel candidate target for anticancer therapy of pancreatic adenocarcinoma.
Questionnaire survey on the usage of antiseizure drugs for dogs and cats in Japanese veterinary hospitals (2020)
Authors: Mizuno Satoshi , Asada Rikako , Hasegawa Daisuke 
Published: April 2022

AbstractEpilepsy is the most common neurological disorder in veterinary medicine. Recently, evidence‐based recommendations or systematic reviews for using antiseizure drugs (ASDs) in dogs and cats have been published, but there are many differences in economic, geographical, and historical backgrounds and/or the availability of each ASD between countries. In the present study, we conducted a questionnaire survey on the usage of ASDs in 511 veterinary hospitals in Japan in 2020. As a result, zonisamide (ZNS) was the most commonly prescribed drug for idiopathic (83%) and structural epilepsy (76%) in dogs. In cats, phenobarbital was the most frequently prescribed drug for idiopathic (48%) and structural epilepsy (51%), but ZNS was also commonly prescribed (41% and 36%, respectively). Additionally, ZNS was the most frequently used ASD in combination therapy for canine idiopathic epilepsy. We also surveyed the frequency of measuring ASD blood levels; however, a relatively high percentage of hospitals (22%) did not perform such measurements. Although the evidence level for ZNS is still poor for both species, it is generally used as the first‐line ASD in Japan. A large‐scale and higher evidential study for ZNS and the education of practitioners for adequate antiseizure medication are required.