Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the toxicity profile of Bridelia ferruginea methanol stem bark extract

The present research was carried out to investigate the toxicity profile of Bridelia ferruginea methanol stem bark extract. Acute toxicity study was carried out in mice using the modified Lorke’s method to determine median lethal dose (LD50). For the subacute toxicity study, animals used were albino rats while extract was administered at dose levels of 100, 1000 and 2500 mg/kg daily for a period of 28 days. Blood samples were taken at the end of the study period for estimation of biochemical and haematological parameters. Histopathological examination of sections of the liver and kidney was also carried out. No mortality was recorded in acute toxicity study and also no any change in general behaviour of rats was observed up to dose of 5000 mg/kg. Similarly, daily administration of the stem bark extract for 28 days did not produce significant changes in body weight, haematological and biochemical parameters of treated rats across all doses except at dose of 2500 mg/kg where significant change was observed in the parameters studied when compared with values obtained from the control group. However, slight histopathological changes were observed in the liver and kidneys sections of rats treated with the methanol stem bark at dose of 1000 mg/kg and 2500 mg/kg. In conclusion, based on results of acute and subacute toxicity study studies, the methanol stem bark extract of Bridelia ferruginea may be considered safe for medicinal use especially at lower doses.
Measurement of Rings via Image Processing during and after Radial-Axial Ring Rolling

Seamless rings are used in several industrial sectors and are mainly produced by radial-axial ring rolling. To be able to detect process or form errors, which nowadays cannot be detected reliably by the conventional sensor technology of a radial-axial rolling machine, an image processing device has been mounted above the table of the ring rolling machine. This paper introduces the possibilities for measurements via image processing during and after radial-axial rolling of rings.
Preferential attachment network model with aging and initial attractiveness

In this paper, we generalize the growing network model with preferential attachment for new links to simultaneously include aging and initial attractiveness of nodes. The network evolves with the addition of a new node per unit time, and each new node has m new links that with probability Π i are connected to nodes i already present in the network. In our model, the preferential attachment probability Π i is proportional not only to k i + A, the sum of the old node i's degree k i and its initial attractiveness A, but also to the aging factor τi−α , where τ i is the age of the old node i. That is, Πi∝(ki+A)τi−α . Based on the continuum approximation, we present a mean-field analysis that predicts the degree dynamics of the network structure. We show that depending on the aging parameter α two different network topologies can emerge. For α < 1, the network exhibits scaling behavior with a power-law degree distribution P(k) ∝ k −γ for large k where the scaling exponent γ increases with the aging parameter α and is linearly correlated with the ratio A/m. Moreover, the average degree k(t i , t) at time t for any node i that is added into the network at time t i scales as k(ti,t)∝ti−β where 1/β is a linear function of A/m. For α > 1, such scaling behavior disappears and the degree distribution is exponential.
Dietary Inflammatory Potential in relation to General and Abdominal Obesity

Background/Aims: Limited data are available on the association of Dietary Inflammatory Potential (DIP) with general and abdominal obesity in developing countries. The aim of this study was to examine the association between DIP score with general and abdominal obesity among Iranian adults. Methods. This cross-sectional study was conducted among adults in Isfahan, Iran. Dietary intakes were assessed by using a validated, self-administrated, dish-based, semiquantitative food frequency questionnaire. DIP was calculated based on standard method. Data regarding height, weight, and waist circumference (WC) were collected using a self-reported questionnaire. Overweight or obesity was defined as body mass index (BMI) ≥25 kg/m2, and abdominal obesity was defined as WC ≥ 80 cm for women and ≥94 cm for men. Results. Mean age of study participants was 36.8 ± 8.08 years. The prevalence of general and abdominal obesity was 46.5% and 52.9%, respectively. We observed that higher DIP scores were significantly associated with a lower odds of general obesity (OR: 0.66; 95% CI: 0.58–0.74). Stratified by sex, this significant association was seen only for women (OR: 0.58; 95% CI: 0.46–0.72). In addition, no significant association was found between DIP scores and abdominal obesity. Conclusions. We found a significant inverse association between consumption of a proinflammatory diet and general obesity. In the gender-stratified analysis, this was seen in women, but not in men. There was no significant association between the DIP scores and abdominal obesity.
Miniaturized Dual-Band Dual-Mode TM-Mode Dielectric Filter in Planar Configuration

This paper reports a new class of compact inline dual-band bandpass filters using TM-mode dielectric resonators in planar configuration. Thanks to the employment of the dielectric-loaded TM-mode waveguide configuration and the dual-mode TM120 and TM210 resonances, substantial size miniaturization and volume saving (>70%) can be obtained in comparison with conventional waveguide technology. Additionally, the planar topology of the presented concept offers highly desirable advantages for industry and mass production including the ease of manufacturing, assembly, and tuning. Furthermore, the resonating doublets and the nonresonating TM110 mode are effectively utilized to introduce and control both inter-band and outer-band transmission zeros, advantageously increasing the isolation between the two passbands and enhancing the outer-band rejection regions. The general design procedure of the proposed filter is discussed in detail. A three-pole C-band dual-band dual-mode TM-mode dielectric filter is designed, implemented, and measured to validate the proposed configuration.
Research on the Construction of Featured Database of University Library ——Take Minjiang University for Example

"The Featured Database Series for Minjiang University's Digital Resources" are made up of ten databases,its construction has much important significance of many aspects.Through forming a good team of database construction,collecting and sorting materials,checking,uploading and publishing them,this database series have been built and will be improved through expanding the scale,uniforming the standard,focusing on the development of secondary resources,promoting interlibrary sharing,strengthening research,and interacting with the users in the future.
The impact of COVID-19 on the international energy trade network centrality and community structures

ABSTRACT Global trade including energy trade is expected to suffer a significant contraction as a result of the COVID-19 pandemic. In this paper, we try to measure the impact of the COVID-19 pandemic on the national status and international energy trade patterns. We apply the networks theory to quantify the dynamic process of the international energy trade network in the year 2018–2020, deriving the centrality to capture both national economic status and its topologic characteristics. Under the COVID-19, multilateral energy trade was blocked, thereby some resource-exporting countries show a downward rank of the centrality, and the opposite situation is in higher levels of economic development. By using the community detection method, we also found that new small communities detached from communities that formed before the COVID-19, but geographical related patterns of international energy trade network communities were not affected by the COVID-19 pandemic.
Design and analysis of novel moving-coil linear compressor for air brake system in electric vehicles

This paper presents a novel direct-drive linear compressor for air brake system in electric vehicles. By integrating the free piston and mechanical springs into a moving-coil type electromagnetic linear oscillating actuator (EMLOA), the structure of the proposed linear compressor is increasing compact. Moreover, the novel features, such as high thrust force constant, better controllability, and high resonant frequency, enable the linear compressor to operate most efficiently at resonance. The thrust force constant is enhanced by employing quasi-Halbach array and is tested to be high (74 N/A) and unchanged over the whole stroke. Dynamic modeling and experiment validation are performed to analyze dynamic characteristics of the linear compressor. The experimental and simulated data agree well, by regulating the frequency and amplitude of the excitation current, the high efficiency of the EMLOA (91.7%) and the low energy volume ratio of the linear compressor (7.3 kW/(m 3 /min)) indicate that the proposed linear compressor is significant energy saving compared with conventional compressors.
Adapting to a Foggy Future Along Trans‐Arctic Shipping Routes

Rapid retreat of Arctic sea ice extends the area of open ocean for new trans‐Arctic shipping routes. However, the projected routes may be too optimistic in terms of savings in shipping costs from shortened trans‐Arctic distances as they do not consider the increased sea fog frequency (SFF) over areas of the retreating sea ice. We show that delays due to sea fog can be 1–4 days, about 23%–27% along the Northwest Passage and 4%–11% along the Northern Sea Route than previous estimated. We design a route based on the projected sea‐ice extent and SFF. The new route can reduce the sailing time by 0.3–1 day by detouring the routes with lighter impacts of sea fog. More importantly the new route will lower the risk of catastrophic accidents compared to the shortest route and saves the additional costs due to unscheduled port calls.
Research on EO/IR Environment Simulation in JMASE

EO/IR environment refers to EO/IR radiance environment with various targets in battleground,including solar radiation,target's radiation,and background radiation.JMASE(joint modeling and simulation environment) is used to build digital system models of engineering and engagement-level simulations for testing and analysis.JMASE provides a suite of tools to support the model development and a set of services to simplify model development,which promotes the reuse and interoperability of models and simulations.This paper researches the principle of the EO/IR environment simulation system in JMASE.Finally,the design and development method and the preliminary application of the EO/IR environment simulation system are presented.
Log characteristics and basic density of four common Mongolian softwoods

Log characteristics and basic density were evaluated in four common Mongolian softwoods, Pinus sylvestris L. , Pinus sibirica Du Tour, Picea obovata Ledeb. , and Larix sibirica Ledeb. by developing the linear or nonlinear mixed-effects models for longitudinal and radial variations of measured characteristics. Total of 19 trees from four species were used in this study. Log taper and juvenile wood percentage increased from base to treetop in all species, except for log taper in Pinus sylvestris. Dynamic young's modulus of logs decreased from base to treetop, and the mean values were 7.81, 5.74, 7.12, and 8.78 GPa for Pinus sylvestris, Pinus sibirica, Picea obovata, and Larix sibirica, respectively. Basic density increased (Pinus sylvestris and Larix sibirica) or decreased (Pinus sibirica and Picea obovata) and then became stable values. The estimated whole tree values of basic density in juvenile wood significantly differed from those in mature wood for all species.
Spreading Awareness of Attenuating Vehicular Speed After Lifting of Covid-19 Lockdown Using Web-Based Estimation of Visual Reaction Time for Primary Prevention of Road Traffic Collision

Objectives- Attenuating the vehicular speed after lifting of lockdown during Covid-19, by employing visual reaction time (RT) as a tool to prime citizens for creating decorum of driving and checking the road traffic fatalities.Background- It is indispensable to curb the driving speed post lockdown to avoid accidents. Even though, the impact of inactivity on RT has been well established, an insight into the new method can deal with the gross issue of road traffic casualty worldwide. Method- Using a web-based platform (http://physicsiology.com), RT was derived by visual stimulation test. Of which, the slowest and the fastest RT were obtained. Using these and prefeed average vehicular speed before lockdown in the website the post lockdown vehicular speed were quantified for the participant. Apart from spreading awareness the website has also collected data for age and days of lockdown.Results- Compared to pre lockdown vehicular speed, reduced post lockdown speed was well calculated and suggested. Furthermore, from 643 participants, there was a correlation between RT, age, and days of lockdown.Conclusion- Containment of speed can be achieved through RT to prime people for prevention of road traffic collision after lifting of Covid-19 lockdown.
Mental Health and Health-Related Quality of Life in German Adolescents after the Third Wave of the COVID-19 Pandemic

Evaluations after the first and second waves of the COVID-19 pandemic in Germany showed an increase in mental health problems and a reduction in health-related quality of life (HRQoL). The aim of the study was to assess those aspects after the third wave of COVID-19 in adolescents who decided to receive a vaccination. In students aged 12–17 years recruited from schools in one German region, mental health (by the strengths and difficulties questionnaire, SDQ) and HRQoL (by KIDSCREEN-10) were assessed by both a self- and parental report. Data from 1412 adolescents (mean age 14.3 years, SD = 1.64) and 908 parents were collected. The mean self-reported HRQoL was T = 53.7 (SD = 11.2), significantly higher in boys than in girls and higher in younger (12–14 years) than in older (15–17 years) adolescents. In total, 18.7% of adolescents reported clinically relevant psychological symptoms, especially peer problems (23.5%), emotional problems (17.4%), and hyperactivity (17.1%). Comparing the present data to evaluations after the first and second waves of COVID-19, adolescents rated a higher HRQoL and reported less mental health problems after the third wave. After 1.5 years of living with the pandemic, adolescents have adapted to the changes in everyday life. Further, the relaxation of restrictions, better school organization, and the prospect of the vaccination may have increased optimism, wellbeing, and contentment, leading to declining but still alarming rates of psychological symptoms.
Potential of a sphingosine 1-phosphate receptor antagonist and sphingosine kinase inhibitors as targets for multiple myeloma treatment

Sphingosine 1-phosphate (S1P) is a bioactive lipid involved in cancer progression through its binding to S1P receptors (S1PRs). However, the association between multiple myeloma (MM) and S1P is unclear. The current study aimed to investigate the potential anti-cancer effects of fingolimod and sphingosine kinase (SK) inhibitors in myeloma cells and the effects of S1P-induced chemoresistance and neovascularization on MM cell proliferation. MM cell lines were treated with the S1PR1 antagonist fingolimod and the SK inhibitors ABC294640 and SK1-I, after which cell proliferation was measured. Protein expression was also assessed under each condition using immunoblotting. Serum S1P levels in patients with MM, monoclonal gammopathy of undetermined significance and healthy volunteers were assessed. Human umbilical vessel cells (HUVECs) were co-cultured with anti-S1P agents to assess the effect on cell migration. All treatments suppressed myeloma cell proliferation and caspase-3-mediated apoptosis by suppressing S1P activity. These findings suggest that S1P activation is associated with proliferation and survival for MM cells. S1P attenuated the proteosome inhibitor (PI) effect, while the anti-S1P agents recovered the effect. In addition, S1P promoted the migration and proliferation of HUVECs, whereas the S1P inhibitors reduced the influence of S1P. This study highlights the therapeutic potential of anti-S1P agents for MM treatment. Inhibition of S1P function may overcome resistance to PI developed by myeloma cells and inhibit the changes to the bone marrow microenvironment via neovascularization.
VISUAL PERCEPTION OF URBAN GREENING IN PUBLIC PARKS: EVIDENCE FROM TRABZON CITY, TURKEY

Urban parks are of the most important components of green infrastructure in cities. Number and size of green areas decrease especially due to increase in population and urbanization. Urban parks rank first among green areas that increase and improve the quality of life in cities. Urban parks are places where people can commune with nature and spend their free time for leisure. Accessibility of urban parks, their recreational facilities and space identity are very effective on satisfaction of users. This study is about EYOF Park in Trabzon city. Visual perception analysis carried out using landscape quality criteria. User satisfaction was analyzed with statistical analyses. As a result of analysis, the highest correlations were found between “color” and “texture” (r = 0.790). The most important reasons of park visit was found to be for “relaxing” purposes, moreover “lack of car park” was stated as the most important problem for the park.
Long-Term Stability Prediction for Developability Assessment of Biopharmaceutics Using Advanced Kinetic Modeling

A crucial aspect of pharmaceutical development is the demonstration of long-term stability of the drug product. Biopharmaceuticals, such as proteins or peptides in liquid formulation, are typically administered via parental routes and should be stable over the shelf life, which generally includes a storing period (e.g., two years at 5 °C) and optionally an in-use period (e.g., 28 days at 30 °C). Herein, we present a case study where chemical degradation of SAR441255, a therapeutic peptide, in different formulations in combination with primary packaging materials was analyzed under accelerated conditions to derive long-term stability predictions for the recommended storing conditions (two years at 5 °C plus 28 days at 30 °C) using advanced kinetic modeling. These predictions served as a crucial decision parameter for the entry into clinical development. Comparison with analytical data measured under long-term conditions during the subsequent development phase demonstrated a high prediction accuracy. These predictions provided stability insights within weeks that would otherwise take years using measurements under long-term stability conditions only. To our knowledge, such in silico studies on stability predictions of a therapeutic peptide using accelerated chemical degradation data and advanced kinetic modeling with comparisons to subsequently measured real-life long-term stability data have not been described in literature before.
A Systematic Review of T Cell Epitopes Defined from the Proteome of Hepatitis B Virus

Hepatitis B virus (HBV) infection remains a worldwide health problem and no eradicative therapy is currently available. Host T cell immune responses have crucial influences on the outcome of HBV infection, however the development of therapeutic vaccines, T cell therapies and the clinical evaluation of HBV-specific T cell responses are hampered markedly by the lack of validated T cell epitopes. This review presented a map of T cell epitopes functionally validated from HBV antigens during the past 33 years; the human leukocyte antigen (HLA) supertypes to present these epitopes, and the methods to screen and identify T cell epitopes. To the best of our knowledge, a total of 205 CD8+ T cell epitopes and 79 CD4+ T cell epitopes have been defined from HBV antigens by cellular functional experiments thus far, but most are restricted to several common HLA supertypes, such as HLA-A0201, A2402, B0702, DR04, and DR12 molecules. Therefore, the currently defined T cell epitope repertoire cannot cover the major populations with HLA diversity in an indicated geographic region. More researches are needed to dissect a more comprehensive map of T cell epitopes, which covers overall HBV proteome and global patients.
Background noise adaptive energy-efficient keywords recognition processor with reusable DNN and reconfigurable architecture

This paper proposes a background noise adaptive energy-efficient keywords recognition processor with Reusable DNN (RDNN) and reconfigurable architecture. To reduce power consumption while maintaining the recognition accuracy of different background noises, the SNR prediction module determines whether the computing mode is low power consumption mode (LPM) or high performance mode (HPM). In LPM, DNN-shift (shift-based deep neural network) is used to achieve high recognition accuracy in a low background noise environment; in HPM, DNN-8bit (8bit weighted deep neural network) is used to achieve low power consumption in a high background noise environment. And the two modes share most of the hardware, and approximate computing is introduced to further reduce power consumption. Evaluated under 22nm process technology, this work can support up to 10 keywords recognition with the power consumption of 11. 2μW for high background noise and 7. 3μW for low background noise.
Formation mechanism of deep cracks in the left bank slope of Jinping-i hydropower station

The Jinping-I hydropower station sits in the west of Great River Bend of Yalongjiang River. Deep cracks are well developed in the slope of the hydropower station. This study is focused on formation mechanism of deep cracks in the left bank slope of Jinping-I hydropower station. Characteristics of in-situ stress in the dam site and the development law of deep cracks in the slope of Jinping-I hydropower station are analyzed. Finally, development of the river valley of Jinping-I hydropower station is simulated by adopting three dimensional distinct element code (3DEC) and variation of stress field as well as distribution of deformation and unloading in different stages of the river valley erosion are discussed. Based on the results and basic law of deformation and in-situ stress of the slope valley, it can be indicated that deep cracks developed in the left bank slope of Jinping-I hydropower station resulting from failure of rock masses which are controlled by the original dominated tectonic fractures. The failure is caused by the regional concentrated stress at the elevation of (EL.) 1700 similar to 1850 m in the slope during the process of valley erosion leaded by fast crust uplift and quick river erosion.
A deep trajectory clustering method based on sequence‐to‐sequence autoencoder model

Most existing trajectory clustering methods use point matching similarity measurement strategies to compare trajectory objects; however, such methods have poor similarity measurement accuracy, which reduces clustering quality. To address this research gap, this article considers a combination of trajectory‐feature learning and clustering. A deep trajectory clustering (DTC) method toward clustering‐friendly spaces is proposed to simultaneously learn trajectory representations (i.e., low‐dimensional vectors are used to represent trajectories) and cluster centroids, and further acquire the cluster assignments end to end. We first use a sequence‐to‐sequence autoencoder network for pretraining to obtain preliminary trajectory vectors, and then jointly optimize the learned representations and cluster centroids under the same framework. The effectiveness of DTC is demonstrated in synthetic datasets, and the learned representations in the real world can be used to identify hot routes in cities.