bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elastically Restrained Cantilever Oscillator: Nonlinear Transcendental Characteristic Equation and Vibration Characteristics in Free and Forced Vibrations
Authors: Babaei Alireza , Parker Johné , Moshaver Paria 
Published: June 2023

Abstract
The efficiency assessment of cantilever-based energy harvesters relies on vibrational analysis, which necessitates modifications aimed at enhancing efficiency. These modifications involve manipulating the fundamental frequency to lower values and encompassing a wider range of resonances within a specified bandwidth. Consequently, this paper introduces an original analytical-numerical exploration into the vibratory response of a cantilever with a novel boundary condition involving an elastically restrained oscillator-spring arrangement. At the beam's tip, an oscillator is elastically confined by a linear spring, resulting in a novel set of coupled governing equations and a distinct shearing boundary condition. During free vibration analysis, a previously unreported characteristic equation is derived. This nonlinear transcendental equation is numerically solved utilizing root-solver algorithms, such as those available in MATLAB. Significantly, it is discovered that the inclusion of a lumped oscillator with an elastic support induces a minimal (new) natural frequency. This finding carries vital implications as the efficiency of cantilever-based energy harvesters is directly contingent upon the resonance frequency. Notably, the oscillator mass and spring constant are two parameters that directly influence the vibratory response of the beam. When employing a stiffer spring, the minimal frequency converges toward the first frequency of the cantilever system. Conversely, the presence of oscillator inertial effects leads to lower minimal frequencies. In the context of forced vibrations, harmonic base excitation is considered as the input excitation, and the mechanical frequency response function is provided. The proposed system offers two distinct advantages for energy harvester systems: the creation of minimal resonance at lower values and the potential to manipulate the system's resonance toward a desired frequency.
Effect of Amhara Credit and Saving Institution (ACSI) to Improve Farmer’s Livelihood: Antsokia Gemza District, Ethiopia
Authors: name Kibret Beyene No family , famil Abebe Fentaw (Ph.D) No 
Published: June 2023

Abstract
The objective of the study was to analyze the effect of ACSI to improve farmers livelihood in Antsokia Gemza Woreda. The study also adopted a mixed research approach with multistage sampling technique to answer research questions from the total 240sampled households 129 of them were participant while 111 were non-participant respondents. Descriptive statistic logit model were used to analyze farmers living standard and factors affecting credit access. The PSM model was also used the effect/impact of ACSI program on beneficiary outcome variable livestock asset, non-livestock asset and annual income .The results of study indicated that ACSI have had a positive influence on the income growth asset accumulation and improvement farmer’s living standard, increase agricultural products, assets and number of livestock for their farmers’ clients. However, there are challenges farmers faced in taking credit from ACSI were high interest rate, size of loan, lending methods. Therefore, concerned body aimed to accelerate growth of farmers’ livelihood in the area could be fruitful. The ACSI should establish a strong and strategic alliance with other stakeholders, apply different incentive mechanisms, individuals may have access to ACSI credit without forming groups, minimizing the loan interest rate, revise regularly the size of loan, .
Atlantic-Pacific salinity contrast enhanced by winds and ocean warming
Authors: Lu Ying , Li Yuanlong , Lin Pengfei , Cheng Lijing , Liu Hailong , Duan Jing , Wang Fan 
Published: June 2023

AbstractBroad-scale salinity changes have been observed in oceans since the mid-20thcentury. One salient feature is the salinity increase of the Atlantic Ocean (AO) in contrast to the salinity decrease of the Pacific Ocean (PO). Our analysis of observational datasets suggests that this “saltier Atlantic-fresher Pacific” (SAFP) trend occurs primarily in the upper 800 m of the 45°S-45°N band, with notable impacts on regional sea level and ocean stratification. In addition to the surface freshwater fluxes stressed by existing studies, heat- and wind-driven oceanic processes have also vitally contributed to this pattern. Specifically, sea surface warming leads to poleward migration of outcrop zones of the thermocline, while changes in surface winds and overturning circulations cause upper-layer convergence in low- and mid-latitudes. These processes drive basin-scale salt redistribution that involves substantial salinity increases in the 45°S-45°N band of the AO but much weaker signatures in the PO. These effects are confirmed by sensitivity experiments of an ocean-sea ice model. Although climate models can broadly replicate the SAFP pattern, they tend to underestimate the AO salinity increase due to model biases in salinity climatology. This work highlights the essence of ocean processes in the response of ocean salinities to climate change and provides a benchmark for climate models.
Prediction of Lithium-ion Battery SOC Based on the Fusion of MHA and ConvolGRU
Authors: Tang Pei , Hua Jusen , Wang Pengchen , QU Zhonghui , Jiang Minnan 
Published: June 2023

Abstract
Overcharge and overdischarge of the battery can be avoided if the state of charge of lithium-ion battery is predicted accurately. A prediction method combined with convolution layer, gated cycle unit and multi-heads attention mechanism is proposed in this paper in order to improve the prediction accuracy of SOC. The data set uses the data of battery charging and discharging under FUDS conditions and DST conditions from the University of Maryland. The window sliding technology is used in the data preprocessing part. Finally, the prediction effect of the fusion model proposed in this paper is verified by Pycharm simulation. The average absolute error, root mean square error and maximum prediction error of the model are 0.53%, 0.67% and 0.4% respectively, which proves that the SOC can be predicted accurately by this model.
A novel mobility model adapted to multi-obstacle scenarios: obstacle avoidance and smooth motion
Authors: Shi Feiyang , Wang Wei , Zhang Yiguo 
Published: June 2023

Abstract
Most of the existing mobility models use simple, linear motion to describe node movement, and there are few studies on curve movement patterns based on multiple obstacles in real scenes. How to describe the avoidance and curve movement patterns of nodes in multivariate obstacle scenes has become a key difficulty in mobility modeling. To address this, this paper proposes a mobility model based on Hermite curves, which fills the gap in curve mobility models for complex, multivariate obstacle scenes in mobility modeling. Firstly, the paper analyzes the demands of mobile patterns in real scenes, and then theoretically models the Hermite curve direction, combining node movement with Hermite curves to achieve curve movement, and adding perception parameters to avoid obstacles. To study the model's performance in practical scenes, this paper researches the spatial probability distribution of nodes and the spatio-temporal dynamic characteristics of network topology under the model's action, and defines the evaluation indicators of the model. To demonstrate the model's application performance, it is compared with the curve mobility model SRMM and the classic RWPM model. The results show that the model not only adapts to the obstacle avoidance application scenes with multiple obstacles, but also has a more uniform spatial probability distribution of nodes, better spatial coverage, and better spatio-temporal dynamic characteristics of the network topology composed of nodes than the SRMM and RWPM models. This model can provide a more realistic application scenes for the simulation of MANET.
Effects of sodium acetate and ammonium acetate on the growth and production of cellular components by Chlorella vulgaris 31
Authors: Peng Shuting , Cao Yueqin , Xie Zijian , Zhang Xiaoyun , Ma Saimai , Kong Weibao 
Published: June 2023

Abstract
Mixotrophic cultivation using organic carbon sources has become increasingly important for large-scale production and application of microalgae, as it can overcome the current commercial bottleneck of low yield and high cost associated with photoautotrophic and heterotrophic cultivation. In this study, we investigated the effects of adding two acetates, sodium acetate (NaAc) and ammonium acetate (NH4Ac), at different concentrations (2, 4, 6, 8, 10 and 12 g L-1) on the biomass, biochemical components content (pigments, proteins, soluble sugars and lipids) and fatty acid composition of Chlorella vulgaris 31 (Cv-31) under mixotrophic cultures. Our results showed that the addition of NaAc significantly increased the biomass and lipid content of microalgae compared with NH4Ac, with 10 g L-1 NaAc having the best effect on the growth and lipid synthesis. Furthermore, only 2 and 4 g L-1 NaAc promoted the synthesis of pigments in algal cells, while all different concentrations of NH4Ac were inhibitory. In contrast to pigments, the effect of two acetates on protein synthesis was opposite, which was promoted by low concentrations of NH4Ac. Both acetates had a "low concentration promotion, high concentration inhibition" effect on the synthesis of soluble sugars. Moreover, the percentage of saturated fatty acids in the fatty acid profile increased with the amount of NaAc supplementation, while stearic acid and oleic acid appeared. Our findings suggest that regulating the type and concentration of acetate can improve the biomass and lipid yield of Cv-31 to promote the microalgal biomass production.
Propagation wave solutions with non-local nonlinearityfor stochastic NLSE
Authors: Alhojilan Yazid , Samir Islam 
Published: June 2023

Abstract
In this research article, the stochastic nonlinear Schr¨odinger equation (NLSE) with non-local nonlinearity is considered. This model is used to mimic the wave propagation through optical fibers. Theintegration technique of the improved modified extended tanh scheme is implemented to handle theinvestigated model. Many stochastic solutions are raised such as bright solitons, dark and singular solitons. 3D and 2D visualizations are introduced with different noise intensities to show the robust of theextracted solutions against the noise.
PMM2 controls ERα levels and cell proliferation in ESR1 Y537S variant expressing breast cancer cells
Authors: Cipolletti Manuela , Acconcia Filippo 
Published: June 2023

Abstract
Purpose:
Metabolic reprogramming in breast cancer (BC) subtypes offers potential personalized treatment targets. Estrogen receptor α (ERα)-positive BC patients undergoing endocrine therapy (ET) can develop ET-resistant metastatic disease. Specific mutations, like Y537S in ERα, drive uncontrolled metastatic cell proliferation. Targeting mutant receptor levels shows promise for inhibiting growth in metastatic BC expressing ERα variants. Additionally, metabolic reprogramming occurs in ERα Y537S mutant cells. Consequently, we conducted a screen to identify metabolic proteins reducing intracellular levels of ERα Y537S and inhibiting cell proliferation.
Methods:
Nine metabolic proteins were identified in a siRNA-based screen, with phosphomannose mutase 2 (PMM2) showing the most promise. We measured the impact of PMM2 depletion on ERα stability and cell proliferation in ERα Y537S mutant cells. Additionally, we tested the effect of PMM2 reduction on the hyperactive phenotype of the mutant and its proliferation when combined with metastatic BC treatment drugs.
Results:
PMM2 emerged as a significant target due to its correlation with better relapse-free survival, overexpression in ERα-positive tumors, and its elevation in ERα Y537S-expressing cells. Depletion of PMM2 induces degradation of ERα Y537S, inhibits cell proliferation, and reduces ERα signaling. Notably, reducing PMM2 levels re-sensitizes ERα Y537S-expressing cells to certain ET drugs and CDK4/CDK6 inhibitors. Mechanistically, depletion of PMM2 leads to a reduction in ESR1 mRNA levels, resulting in decreased ERα receptor protein expression. Furthermore, reduction of PMM2 decreases FOXA1 levels, which plays a crucial role in ERα regulation.
Conclusions:
Our findings establish PMM2 as an innovative therapeutic target for metastatic BC expressing the ERα Y537S variant, offering alternative strategies for managing and treating this disease.
Longitudinal Trajectory of Spontaneous Brain Activity Changes in Breast Cancer Patients Following One Circle and the Completion of Neoadjuvant Chemotherapy-a preliminary prospective study
Authors: Hu Yixin , Yu Hong , Lai Yong , Liu Jiang , Tan Yong , Lei Weiwei , Zhang Jing , Zhou Xiaoyu , Cao Ying , Tang Yu , Liu Daihong , Zhang Jiuquan 
Published: June 2023

Abstract
There is growing evidence that brain activity changes in breast cancer patients after chemotherapy. However, the longitudinal changes in brain function during chemotherapy are unclear and not studied before. To assess trajectory of brain activity changes during chemotherapy, we prospectively enrolled 36 breast cancer patients and longitudinally compared amplitude of low-frequency fluctuation (ALFF) and neuropsychological tests at three time points including before neoadjuvant chemotherapy (NAC) (time point 0, TP0), before the second cycle of NAC (time point 1, TP1), and after NAC (pre-operation, time point 2, TP2). Compared with TP0, ALFF values of right orbital part of inferior frontal gyrus, left medial orbital part of the superior frontal gyrus, right insula, left medial part of superior frontal gyrus and right middle frontal gyrus decreased significantly at TP1 and TP2. Besides, the score of Functional Assessment of Cancer Therapy-Cognitive Function (FACT-Cog) decreased significantly at both TP1 and TP2. The scores of Self-Rating Anxiety Scale and Perceived Cognitive Abilities have a significant decrease at TP1 and TP2, respectively. There was no statistically significant difference found between the scores on the neuropsychological tests at TP1 and TP2. And aberrant ALFF values were correlated with neuropsychological tests scores at TP0. We conclude that brain activity of breast cancer patients treated with NAC changed significantly after the first cycle of NAC and lasted until the end of chemotherapy, along with the cognitive function deterioration. Most brain regions with ALFF changes were located in the frontal lobe, which is involved in the higher-order of cognitive function.
High-Content Small Molecule Screen Identifies a Novel Compound That Restores AP-4-Dependent Protein Trafficking in Neuronal Models of AP-4-Associated Hereditary Spastic Paraplegia
Authors: Saffari Afshin , Brechmann Barbara , Boeger Cedric , Saber Wardiya Afshar , jumo Hellen , Whye Dosh , Wood Delaney , Wahlster Lara , Alecu Julian , Ziegler Marvin , Scheffold Marlene , Winden Kellen , Hubbs Jed , Buttermore Elizabeth , Barrett Lee , Borner Georg , Davies Alexandra , Sahin Mustafa , Ebrahimi-Fakhari Darius 
Published: June 2023

Abstract
Unbiased phenotypic screens in patient-relevant disease models offer the potential to detect novel therapeutic targets for rare diseases. In this study, we developed a high-throughput screening assay to identify molecules that correct aberrant protein trafficking in adaptor protein complex 4 (AP-4) deficiency, a rare but prototypical form of childhood-onset hereditary spastic paraplegia, characterized by mislocalization of the autophagy protein ATG9A. Using high-content microscopy and an automated image analysis pipeline, we screened a diversity library of 28,864 small molecules and identified a lead compound, C-01, that restored ATG9A pathology in multiple disease models, including patient-derived fibroblasts and induced pluripotent stem cell-derived neurons. We used multiparametric orthogonal strategies and integrated transcriptomic and proteomic approaches to delineate putative molecular targets of C-01 and potential mechanisms of action. Our results define molecular regulators of intracellular ATG9A trafficking and characterize a lead compound for the treatment of AP-4 deficiency, providing important proof-of-concept data for future Investigational New Drug (IND)-enabling studies.
Investigating the continuous usage intention of app-based ride-sourcing services: An Extended Expectation–Confirmation Model
Authors: Elnadi Moustafa , Gheith Mohamed Hani 
Published: June 2023

Abstract
Despite the existence of several studies that focus on ride-sourcing services, most of them have concentrated on exploring users' pre-usage behaviour. This is one of the earliest studies that focused on exploring users’ post-usage behaviour. This paper aims to identify the significant factors that may affect existing consumers’ intentions to continue using of app-based ride-sourcing services in Egypt. Three robust models, namely the Expectation-Confirmation Model (ECM), the Technology Acceptance Model (TAM), and the Technology Readiness Model (TRM) were integrated and used as the theoretical framework for this study to accomplish this goal. An online questionnaire was used to collect the empirical data needed to test the hypotheses. The partial least squares structural equation modelling (PLS-SEM) technique has been used to evaluate the postulated relationships using data from 381 respondents. The results demonstrated the essential role that optimism, innovativeness, discomfort, and insecurity play in shaping users’ perceptions of ride-sourcing apps’ usefulness. The findings also showed that perceived ease of use was determined only by innovativeness and discomfort. Additionally, the findings confirmed that the continuance usage intention of ride-sourcing apps is significantly associated with users’ satisfaction level, perceived usefulness, and perceived ease of use. The results of this study will aid service providers in comprehending the variables influencing users' decisions to continue using ride-sourcing apps. Therefore, service providers can discover how to retain and satisfy their current users.
Identification of Lactate-Related Subgroups and Prognostic Model in Triple-Negative Breast Cancer
Authors: Huang ShanShan , Wu LinYu , Qiu Yu , Xie Yi , Wu Hao , Li YingQing , Xie XinHua 
Published: June 2023

Abstract
Background Triple-negative breast cancer (TNBC) is a highly aggressive subtype of breast cancer that exhibits elevated glycolytic capacity. Lactate, as a byproduct of glycolysis, is considered a major oncometabolite that plays an important role in oncogenesis and remodeling of the tumor microenvironment. However, the potential roles of lactate in TNBC are not yet fully understood. In this study, our goal was to identify prognosis-related lactate genes (PLGs) and construct a lactate-related prognostic model (LRPM) for TNBC.Methods First, we applied lactate-related genes to classify TNBC samples using hierarchical clustering algorithm. Then, we performed the log-rank analysis and the least absolute shrinkage and selection operator (LASSO) analysis to screen PLGs and construct the LRPM. The biological functions of the identified PLGs in TNBC were inverstigated using CCK8 assay and clone formation assay. Finally, we constructed a nomogram based on the lactate-risk score (LRS) and tumor clinical stage. We used operating characteristic (ROC) curve and decision curve analysis (DCA) to evaluate the predictive capability of the nomogram.Results Our results showed that the TNBC samples could be classified into two subgroups with different survival probabilities. Three genes (NDUFAF3, CARS2 and FH), which can suppress TNBC cell proliferation, were identified as PLGs. Moreover, the LRPM and nomogram exhibited excellent predictive performance for TNBC patient prognosis.Conclusion we have developed a novel LRPM that enables risk stratification and identification of poor molecular subtypes in TNBC patients, showing great potential in clinical practice.
Tobacco and Menthol flavored electronic cigarettes induced inflammation and dysregulated repair in lung fibroblast and epithelium
Authors: Wang Qixin , Lucas Joseph H , Pang Cortney , Zhao Ruogang , Rahman Irfan 
Published: June 2023

Abstract
Background
Electronic cigarette (e-cig) vaping has increased in the past decade in the US, and e-cig use is misleadingly marketed as a safe cessation for quitting smoking. The main constituents in e-liquid are humectants, such as propylene glycol (PG) and vegetable glycerine (VG), but different flavoring chemicals are also used. However, the toxicology profile of flavored e-cigs in the pulmonary tract is lacking. We hypothesized that menthol and tobacco-flavored e-cig (nicotine-free) exposure results in inflammatory responses and dysregulated repair in lung fibroblast and epithelium.
Method
We exposed lung fibroblast (HFL-1) and epithelium (BEAS-2B) to Air, PG/VG, menthol flavored, or tobacco-flavored e-cig, and determined the cytotoxicity, inflammation, and wound healing ability of the cells in a microtissue chip model.
Results
After exposure, HFL-1 showed decreased cell number with increased IL-8 levels in the tobacco flavor group compared to air. BEAS-2B also showed increased IL-8 secretion after PG/VG and tobacco flavor exposure, while menthol flavor exposure showed no change. Both menthol and tobacco-flavored e-cig exposure showed decreased protein abundance of type 1 collagen (COL1A1), α-smooth-muscle actin (αSMA), and fibronectin as well as decreased gene expression level of αSMA (Acta2) in HFL-1. After tobacco flavor e-cig exposure, HFL-1 mediated wound healing and tissue contractility were inhibited. Furthermore, BEAS-2B exposed to menthol flavor showed significantly decreased gene expression of CDH1, OCLN, and TJP1.
Conclusion
Overall, tobacco-flavored e-cig exposure induces inflammation in both epithelium and fibroblasts, and tobacco-flavored e-cig inhibits wound healing ability in fibroblast.
Soil microbial dark matter explored from genome-resolved metagenomics
Authors: Lu Caiyu , Wang Yiling , Yu Jingwen , Zhao Kankan , Xue Ran , Ren Hao , Lv Xiaofei , Pan Ronghui , Zhang Jia-Bao , Zhu Yong-Guan , Xu Jianming , Ma Bin 
Published: June 2023

Abstract
Soil contains a vast number of unidentified microbes, known as soil microbial dark matter. This is an important source of microbial biodiversity and genetic resources1,2, but has yet to be fully explored. In this study, we conducted the first large-scale excavation of soil microbial dark matter by reconstructing 40,039 metagenome-assembled genome bins (the SMAG catalog) from 2,990 soil metagenomes. We identified 16,530 of 21,077 species-level genome bins (SGBs) as unknown SGBs (uSGBs), which greatly expand archaeal and bacterial diversity across the tree of life. The uSGBs identified substantially increased the functional landscape and intra-species genome diversity of the soil microbiome, and provided large proportions of the 43,169 biosynthetic gene clusters and 8,544 CRISPR-Cas genes mined from the SMAG catalog. This suggests their potential for genetic resource exploitation. In addition, we determined that uSGBs contributed 84.6% of novel viral-host associations identified from the SMAG catalog. Our results demonstrate the richness of microbial dark matter in soil and highlight its potential in inspiring new avenues of research in the field of soil microbiology. We believe that the SMAG catalog will be of great value and interest to the broad readership, and will serve as a valuable genomic database to drive significant advances in understanding soil microbial biodiversity and exploiting novel genetic resources.