bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of Lactic Fermentation in Ensuring the Safety and Extending the Shelf Life of African Indigenous Vegetables and Its Economic Potential
Authors: Lys Irakoze Marie 
Published: September 2024

ABSTRACTLactic fermentation is a traditional preservation method that has been pivotal in enhancing the safety and extending the shelf life of various food products particularly where other technologies are not affordable. The present review paper explores the role of lactic fermentation in African Indigenous vegetables, emphasizing its impact on food safety and shelf life extension. The paper systematically examines the biochemical mechanisms of lactic acid bacteria in suppressing pathogenic microorganisms and spoilage organisms, thereby improving the safety and shelf life of these vegetables. Additionally, it briefly addresses how lactic fermentation contributes to the nutritional and sensory qualities of Indigenous vegetables, which are crucial for their marketability. The review further delves into the economic implications of integrating lactic fermentation of African Indigenous vegetables practices into local agricultural and food systems, considering aspects such as cost‐effectiveness, market potential, and value addition of African Indigenous vegetables. By synthesizing the current research and practices, the paper highlights the dual benefits of lactic fermentation of African Indigenous vegetables in enhancing food security and creating economic opportunities in Africa. The findings suggest that leveraging traditional fermentation techniques could significantly bolster the shelf life, safety, and economic viability of African Indigenous vegetables, offering a sustainable approach to food preservation and economic development.
Post‐Estimation Shrinkage in Full and Selected Linear Regression Models in Low‐Dimensional Data Revisited
Authors: Kipruto Edwin , Sauerbrei Willi 
Published: September 2024

ABSTRACTThe fit of a regression model to new data is often worse due to overfitting. Analysts use variable selection techniques to develop parsimonious regression models, which may introduce bias into regression estimates. Shrinkage methods have been proposed to mitigate overfitting and reduce bias in estimates. Post‐estimation shrinkage is an alternative to penalized methods. This study evaluates effectiveness of post‐estimation shrinkage in improving prediction performance of full and selected models. Through a simulation study, results were compared with ordinary least squares (OLS) and ridge in full models, and best subset selection (BSS) and lasso in selected models. We focused on prediction errors and the number of selected variables. Additionally, we proposed a modified version of the parameter‐wise shrinkage (PWS) approach named non‐negative PWS (NPWS) to address weaknesses of PWS. Results showed that no method was superior in all scenarios. In full models, NPWS outperformed global shrinkage, whereas PWS was inferior to OLS. In low correlation with moderate‐to‐high signal‐to‐noise ratio (SNR), NPWS outperformed ridge, but ridge performed best in small sample sizes, high correlation, and low SNR. In selected models, all post‐estimation shrinkage performed similarly, with global shrinkage slightly inferior. Lasso outperformed BSS and post‐estimation shrinkage in small sample sizes, low SNR, and high correlation but was inferior when the opposite was true. Our study suggests that, with sufficient information, NPWS is more effective than global shrinkage in improving prediction accuracy of models. However, in high correlation, small sample sizes, and low SNR, penalized methods generally outperform post‐estimation shrinkage methods.
“Hey you!”: An extension of the speaker immersion protocol to recruit the attention of a listener
Authors: Verdun Victoria R. , Naresh Aparna , Kazee Amanda , Yosick Rachel 
Published: September 2024

AbstractThe speaker immersion protocol (SIP) is an intervention that attempts to increase the frequency and spontaneity of a child's spoken communication. SIP has demonstrated effectiveness with increasing mands and other verbal operants (Ross et al., 2006); however, prior investigations have not examined SIP in the context of needing to recruit the social attention of a communicative partner in the presence of an establishing operation. The current study sought to extend the literature on SIP by adding a recruitment for social attention component to the intervention with two children with Autism spectrum disorder and limited spontaneous language. Prior to intervention, both participants engaged in low levels of target‐requesting behavior even when a communication partner was readily available close by. After receiving an intervention designed to increase vocal requests, both participants demonstrated a significant increase in the number of vocal requests they emitted; however, that did not generalize to making appropriate bids for attention until recruitment for attention was embedded within SIP. Future studies should continue to examine the most effective and efficient ways to improve both the quantity and the quality of autistic children's social communication.
OSBPL10‐CNBP axis mediates hypoxia‐induced pancreatic cancer development
Authors: Huang Yishu , Zhang Ronghao , Fan Shuyang , Shi Minmin , Tang Xiaomei , Wang Xinjing , Deng Xiaxing 
Published: September 2024

AbstractPancreatic ductal adenocarcinoma (PDAC) is one of malignancies with worst outcomes among digestive system tumors. Identification of novel biomarkers is of great significance for treatment researches and prognosis prediction of pancreatic cancer patients. Due to OSBPL10 known involvement in oncogenic activity in other tumors, we elucidated the mechanism underlying its contribution to pancreatic cancer progression. We employed data from the Gene Expression Omnibus database to detect the expression of OSBPL10 in normal and pancreatic cancer tissues. A series of assays were conducted to assess the impact of OSBPL10 on the proliferation and metastatic capacities of pancreatic cancer cells and the influence of OSBPL10 on macrophages were evaluated by Flow cytometry. In addition, Co‐immunoprecipitation, mass spectrometry, and western blot assays were utilized to investigate the potential mechanisms of OSBPL10 activity. From our study, OSBPL10 is revealed to be upregulated in pancreatic cancer, with poor prognosis. The overexpression promotes malignant behaviors of pancreatic cancer cells and has an impact on tumor immune microenvironment by stimulating the transformation M1 macrophages into M2 macrophages. Mechanistically, hypoxia induces the expression of OSBPL10 through interaction between hypoxia‐inducible factor 1‐α and the promoter region of OSBPL10. Additionally, OSBPL10 directly bound to CNBP, mediating CNBP expression and ultimately regulating the proliferation and metastasis capacity of pancreatic cancer cells, as well as influencing macrophage polarization. The research emphasized the oncogenic role of OSBPL10 in pancreatic cancer, uncovering key mechanisms involving hypoxia, HIF‐1α, and CNBP. The finding suggests that OSBPL10 is a novel biomarker in pancreatic cancer, making it a potential therapeutic target for intervention in this malignancy.
Stability‐indicating RP‐HPLC method development and validation for the quantification of amlodipine besylate and valsartan tablets in solid oral dosage form
Authors: Kamireddy Teja , Sambu Pranitha , Lankalapalli Prasanna Kumar , Myneni Rama Krishna , Divadari Hareesh 
Published: September 2024

AbstractThe present study discusses the development of simple, rapid, specific, precision, accuracy, stability indicating the HPLC method for the analysis of amlodipine besylate and valsartan tablet dosage form. The chromatographic separation was achieved using phosphate buffer with 1% triethyl amine (pH 3.0) as mobile phase‐A and mixed Methanol and buffer in the ratio of (65:35)(v/v) as mobile phase‐B. The detection of components was made at 237 nm for amlodipine besylate and valsartan. Analytical techniques should enrich sensitivity and specificity for the estimation of pharmaceutical drug products. Evaluated stress studies under different types of ICH conditions. The optimized HPLC method was validated as per the current ICH guidelines. The validated HPLC method was obtained highly specific with linearity ranging between 25 and 200 μgmL−1 of amlodipine besylate and 40–320 μgmL−1 of valsartan and both components correlation coefficient was > 0.999. The method showed high accuracy more than 97%. In stress studies, amlodipine besylate and valsartan were found to be sensitive to acid stress conditions and oxidation stress conditions. The method was found to be suitable for the quality control of amlodipine besylate and valsartan in the tablet as well as in stability‐indicating studies. The method was applied to the analysis of stability samples.
Synthesis of Novel 3,4‐Dihydropyrimidine Derivatives, Cytotoxic Activity Evaluation, Apoptosis, Molecular Docking Studies, and MD Simulations
Authors: Faeze Mortazavi Seyyede , Ebadi Ahmad , Navid Mohammadian Mohammad , Mojaddami Ayyub , Toolabi Mahsa 
Published: September 2024

AbstractIn this study, twelve 3,4‐dihydropyrimidines derivatives were synthesized through Biginelli multi‐component reaction. The efficacy of these compounds against MCF‐7, A549, and HeLa cells was evaluated using the MTT method. The results showed that designed derivatives were more effective against A549 cancer cells than MCF‐7 and HeLa cells. Compound 5l (bearing 4‐Cl‐phenyl at C4 of 3, 4‐dihydropyrimidin‐2(1H)‐one ring) was the most potent analogue (A549: 18.65±1.87 μM, HeLa: 26.59±2.71 μM, MCF‐7: 31.82±2.64 μM). The presence of an electron‐withdrawing group with optimum lipophilicity at the C4 position of the phenyl ring increased the cytotoxic effect. The flow cytometry findings indicated that compound 5l induced apoptosis in A549 cancer cells in a dose‐dependent manner. Eg5 and AKT1 were selected as molecular modeling target by applying pharmacology network analyses. The molecular docking results indicated that both enantiomers of compound 5l had significant interactions with key residues in both Eg5 (Gly117 and Glu116) and AKT1 (Ala123 and Glu121) active sites. However, MD simulation revealed that the R enantiomer had a more stable complex and a higher binding affinity to the Eg5 enzyme active site than the S‐enantiomer. The affinity of 5l (R enantiomer) to Eg5 was predicted more than AKT1.
The Role of Pyruvate Kinase M2 Posttranslational Modification in the Occurrence and Development of Hepatocellular Carcinoma
Authors: Chunlian Zhao , Qi Wan , Rui Zhao 
Published: September 2024

ABSTRACTHepatocellular carcinoma (HCC) is one of the deadly malignant tumors that directly leads to the death of nearly one million people worldwide every year, causing a serious burden on society. In the presence of sufficient oxygen, HCC cells rapidly generate energy through aerobic glycolysis, which promotes tumor cell proliferation, immune evasion, metastasis, angiogenesis, and drug resistance. Pyruvate kinase M2 (PKM2) is a key rate‐limiting enzyme in glycolysis. In recent years, studies have found that PKM2 not only exerts pyruvate kinase activity in the process of glucose metabolism, but also exerts protein kinase activity in non‐metabolic pathways to affect tumor cell processes, and its activity is flexibly regulated by various posttranslational modifications such as acetylation, phosphorylation, lactylation, ubiquitination, SUMOylation, and so forth. This review summarizes the role of posttranslational modifications of PKM2‐related sites in the development of HCC.
Chiral Pd(II) Nanofiber Promoting Electron Transfer of g‐C3N4 for Efficient Photocatalytic Hydrogen Production
Authors: Zhou Xiaoqin , Miao Wangen , Xu Limei , Luo Jin , Fan Xuliang , Ning Xiaomei , Zhou Xunfu , Zhou Xiaosong 
Published: September 2024

AbstractThe rapid transfer and separation of photogenerated electrons is very important for the improvement of photocatalytic efficiency. Here, chiral induced spin selectivity effect (CISS effect) was developed to accelerate electron transfer for efficient photocatalytic hydrogen production. A chiral and achiral racemic supramolecular Pd(II) complex nanofiber was fabricated via supramolecular self‐assembly of chiral L−Py or its racemes with Pd(II) and used to modify carbon nitride (g‐C3N4). The obtained chiral photocatalyst L−Py−Pd/g‐C3N4‐4 and achiral photocatalyst Rac‐Pd/g‐C3N4‐4, show enhanced photocatalytic activities with hydrogen evolution rates of 2476 and 1339 μmol g−1 h−1, respectively, while that of pure g‐C3N4 is 30.5 μmol g−1 h−1. Chiral photocatalyst has 85 % higher activity than achiral one and is 82.5‐fold of pure g‐C3N4, due to better suppression of the recombination of photogenerated electron‐hole pairs in the interface of g‐C3N4 contact with chiral molecule. Spectral tests and photoelectrochemical tests proved that the chiral supramolecular Pd(II) complex can act both as an electron spin filter and hydrogen reduction catalytic center to enhance photocatalytic efficiency. This work offers a new route to facilitate electron transfer by the CISS effect for photocatalytic hydrogen evolution.
Dual Centrifugation‐Based Screening for pH‐Responsive Liposomes
Authors: Gleue Lukas , Graefen Barbara , Voigt Matthias , Schupp Jonathan , Schneider Dirk , Fichter Michael , Kuske Michael , Mailaender Volker , Tuettenberg Andrea , Helm Mark 
Published: September 2024

AbstractIn liposomal drug delivery development, the delicate balance of membrane stability is a major challenge to prevent leakage (during shelf‐life and blood circulation), and to ensure efficient payload release at the therapeutic destination. Our composite screening approach uses the processing by dual centrifugation technique to speed up the identification of de novo formulations of intermediate membrane stability. By screening binary lipid combinations at systemically varied ratios we highlight liposomal formulations of intermediate stability, what we termed „the edge of stability“, requiring moderate stimuli for destabilization. Supplementation with a pH‐sensitive cholesterol derivative (to obtain acid labile liposomes) and renewed assessment with cargo load led to the discovery of three formulations with sufficient shelf‐life stability, acceptable cargo retention and efficient pH‐responsive cargo release in vitro. The “lead candidates” exhibited promising in cellulo uptake with increased intracellular cargo release and revealed in vivo performance advantages compared to a control liposome. Our approach filters lipid compositions on “the edge of stability” that were introduced with a pH‐sensitive cholesterol derivate leading pH‐responsive liposomes, out of a multidimensional parameter space. Their discovery by rational approaches would have been highly unlikely, thus highlighting the potential of our screening approach.
Mode identification method of long span steel bridge based on CEEMDAN and SSI algorithm
Authors: Zhang Dan , Wang Yunfei , Zhu Tianhao , Ma Guowei 
Published: September 2024

AbstractStochastic subspace identification (SSI) stands as one of the most extensively employed algorithms for modal parameter identification within the domain of bridge structural health monitoring. However, when confronted with nonstationary signals, it often generates numerous false modes in the stability graph, consequently impeding the accuracy of modal parameter identification. To address this challenge, an algorithm combining the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and covariance‐driven SSI (COV‐SSI) has been proposed in this research, referred to as the CEEMDAN‐SSI algorithm. The CEEMDAN‐SSI algorithm first decomposes the structural vibration acceleration into intrinsic mode functions (IMFs) and then selects the pertinent IMF component for signal reconstruction using the Pearson correlation coefficient. Subsequently, the reconstructed signal undergoes analysis using the COV‐SSI algorithm, effectively mitigating the occurrence of false modes. Furthermore, the research focuses on a large‐span continuous rigid frame bridge with elevated piers situated in Toutunhe, Xinjiang Province, currently under construction. Modal parameters of the rigid frame bridge under various wind speed conditions are compared and analyzed using both COV‐SSI and CEEMDAN‐SSI algorithms. The findings reveal that the CEEMDAN‐SSI algorithm markedly diminishes false modes while enhancing the strength of stability axes for each mode, thus affirming the feasibility and robustness of the CEEMDAN‐SSI algorithm.
An efficient and accurate method of added mass for evaluating the seismic hydrodynamic effect of deep‐water piers
Authors: Yang Ji , Huai Chenzi , Pang Yutao , Luo Qin , Yang Lei , Wang Hui 
Published: September 2024

AbstractDue to the effects of complex fluid‐structure interaction, deep‐water bridges are more prone to damage under strong earthquakes. Quantification of seismic fluid‐structure interaction can be crucial for evaluating the seismic performance of deep‐water bridges. Currently, there is a lack of suitable methods for rapidly calculating hydrodynamic added mass for deep‐water piers with complex cross‐sectional shapes in the seismic performance assessment of deep‐water bridges. In light of this, the present paper proposed an efficient and accurate method for calculating the hydrodynamic added mass of piers with different cross‐sectional shapes. Taking circular, rectangular, and dumbbell‐shaped piers as examples, the proposed method was employed to calculate the hydrodynamic added mass for deep‐water bridge piers. Comparison of the seismic responses obtained from the analytical formula, fluid‐structure coupling refined numerical model and the proposed method in this paper validated the accuracy of the proposed method. Finally, the hydrodynamic coupling effects of deep‐water bridge piers were also investigated. It was concluded that the proposed method can be efficient and accurate for obtaining the added mass of deep‐water piers.
Multiscale characterization of splays produced by a historic, rain‐on‐snow flood on a large braided stream (Platte River, Central USA)
Authors: Korus Jesse T. , Joeckel R. Matthew , Mittelstet Aaron R. , Shrestha Nawaraj 
Published: September 2024

AbstractSplays—fan‐shaped depositional landforms produced by overbank deposition by unconfined flows—can damage structures, degrade arable land and incur substantial mitigation costs. Splay‐related hazards along many rivers are likely to worsen with the increasing magnitude and frequency of major floods. The highly incomplete understanding of splays on braided streams is a conspicuous knowledge gap in a changing world with more frequent and intense floods. The largest recorded flood on the braided, sand‐dominated lower Platte River (eastern Nebraska, USA) in March 2019 resulted from the rapid melting of a deep, moist snowpack during an extreme rain‐on‐snow, bomb‐cyclone event. This flood produced 32 large (as much as 234 ha) splays that buried structures and cropland under sand. A total of 1,438 ha of row crop was buried, equating to 1.2 million dollars in lost revenue. These splays diverged from the channel by 14° to 104° along a 122 km reach. The topography of preexisting abandoned channels strongly controlled the shape and orientation of most splays, although forested areas tended to trap or divert sediment. The flood eroded 2.2 to 202 m2 m−1 of the streambank at 11 of the splays. The five largest splays (>100 ha) deposited as much as 2.4 m of sand. Ground‐penetrating radar profiles of the largest splay indicate that it consisted almost entirely of overbank deposits exhibiting simple downstream accretion that buried the pre‐flood soil under ≤ 1 m or less of sand. Locally, however, this soil was eroded during the flood. Climate models predict increasing winter precipitation in the Platte River basin; therefore, the frequency of major floods should increase, making splays recurrent hazards. Our geomorphic assessment of the splays on the lower Platte River illustrates the need for future hazard and mitigation planning.
Dynamic transient brain states in preschoolers mirror parental report of behavior and emotion regulation
Authors: Toffoli Lisa , Zdorovtsova Natalia , Epihova Gabriela , Duma Gian Marco , Del Popolo Cristaldi Fiorella , Pastore Massimiliano , Astle Duncan E. , Mento Giovanni 
Published: September 2024

AbstractThe temporal dynamics of resting‐state networks may represent an intrinsic functional repertoire supporting cognitive control performance across the lifespan. However, little is known about brain dynamics during the preschool period, which is a sensitive time window for cognitive control development. The fast timescale of synchronization and switching characterizing cortical network functional organization gives rise to quasi‐stable patterns (i.e., brain states) that recur over time. These can be inferred at the whole‐brain level using hidden Markov models (HMMs), an unsupervised machine learning technique that allows the identification of rapid oscillatory patterns at the macroscale of cortical networks. The present study used an HMM technique to investigate dynamic neural reconfigurations and their associations with behavioral (i.e., parental questionnaires) and cognitive (i.e., neuropsychological tests) measures in typically developing preschoolers (4–6 years old). We used high‐density EEG to better capture the fast reconfiguration patterns of the HMM‐derived metrics (i.e., switching rates, entropy rates, transition probabilities and fractional occupancies). Our results revealed that the HMM‐derived metrics were reliable indices of individual neural variability and differed between boys and girls. However, only brain state transition patterns toward prefrontal and default‐mode brain states, predicted differences on parental‐report questionnaire scores. Overall, these findings support the importance of resting‐state brain dynamics as functional scaffolds for behavior and cognition. Brain state transitions may be crucial markers of individual differences in cognitive control development in preschoolers.