Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Siberian fir terpenes extract Abisil on antioxidant activity, autophagy, transcriptome and proteome of human fibroblasts

Background: Abisil is an extract of Siberian fir terpenes with antimicrobial and wound healing activities. Previous studies revealed that Abisil has geroprotective, anti-tumorigenic, and anti-angiogenic effects. Abisil decreased the expression of cyclin D1, E1, A2, and increased the phosphorylation rate of AMPK. Objective: In the present study, we analyzed the effect of Abisil on autophagy, the mitochondrial potential of embryonic human lung fibroblasts. We evaluated its antioxidant activity and analyzed the transcriptomic and proteomic effects of Abisil treatment. Results: Abisil treatment resulted in activation of autophagy, reversal of rotenone-induced elevation of reactive oxygen species (ROS) levels and several-fold decrease of mitochondrial potential. Lower doses of Abisil (25 μg/ml) showed a better oxidative effect than high doses (50 or 125 μg/ml). Estimation of metabolic changes after treatment with 50 μg/ml has not shown any changes in oxygen consumption rate, but extracellular acidification rate decreased significantly. Abisil treatment (5 and 50 μg/ml) of MRC5-SV40 cells induced a strong transcriptomic shift spanning several thousand genes (predominantly, expression decrease). Among down-regulated genes, we noticed an over-representation of genes involved in cell cycle progression, oxidative phosphorylation, and fatty acid biosynthesis. Additionally, we observed predominant downregulation of genes encoding for kinases. Proteome profiling also revealed that the content of hundreds of proteins is altered after Abisil treatment (mainly, decreased). These proteins were involved in cell cycle regulation, intracellular transport, RNA processing, translation, mitochondrial organization. Conclusions: Abisil demonstrated antioxidant and autophagy stimulating activity. Treatment with Abisil results in the predominant downregulation of genes involved in the cell cycle and oxidative phosphorylation.
Predictors of the challenges faced by beginning teachers: Pre-service teacher education competency and professional commitment

The purpose of this study is to determine to what level beginning teachers' perceptions concerning the competency of pre-service teacher education and their professional commitment predict the challenges they face. This study was conducted with 942 beginning teachers working at İstanbul, Konya, Gaziantep and Van provinces in Turkey. The data were collected with the scale of challenges faced by beginning teachers, teachers' perceptions scale concerning the competency of preservice teacher education and teachers' professional commitment scale developed by the researchers. Descriptive statistics, MANOVA, Pearson Product-Moment Correlation Coefficient and stepwise regression analysis were used for data analysis. As a result of the study, it was found that beginning teachers face challenges at moderate level in their first year. Furthermore, it was found that three variables ("relations with students, colleagues, administrators, parents and society", "teaching planning and implementation " and "commitment to the profession") are significant predictors explaining approximately one third (%30.4) of the variance concerning the challenges faced by beginning teachers.
Characters, Spirals and Unit Dynamics by training neural network model

Deep learning is an integral part of machine learning by building a structure like the neural network in the human brain. Amounts of different neural network models have been emerged, improved, and transformed. This article will implement various neural network models for three different specific tasks (Japanese character recognition/double helix task/remote unit dynamics) and analyse the fine-tuning parameters process (different network layers, different types of network layers). The result is that generally, models with more layers would perform better. However, other parameter could have significant effects on the performance. For example, activation function, different numbers of hidden nodes, different initial weights, and different periods, etc.
Environmental impacts and resource use of urban agriculture: a systematic review and meta-analysis

Environmental merits are a common motivation for many urban agriculture (UA) projects. One powerful way of quantifying environmental impacts is with life cycle assessment (LCA): a method that estimates the environmental impacts of producing, using, and disposing of a good. LCAs of UA have proliferated in recent years, evaluating a diverse range of UA systems and generating mixed conclusions about their environmental performance. To clarify the varied literature, we performed a systematic review of LCAs of UA to answer the following questions: What is the scope of available LCAs of UA (geographic, crop choice, system type)? What is the environmental performance and resource intensity of diverse forms of UA? How have these LCAs been done, and does the quality and consistency allow the evidence to support decision making? We searched for original, peer-reviewed LCAs of agricultural production at UA systems, and selected and evaluated 47 papers fitting our analysis criteria, covering 88 different farms and 259 production systems. Focusing on yield, water consumption, greenhouse gas emissions, and cumulative energy demand, using functional units based on mass of crops grown and land occupied, we found a wide range of results. We summarized baseline ranges, identified trends across UA profiles, and highlighted the most impactful parts of different systems. There were examples of all types of systems—across physical set up, crop type, and socio-economic orientation—achieving low and high impacts and yields, and performing better or worse than conventional agriculture. However, issues with the quality and consistency of the LCAs, the use of conventional agriculture data in UA settings, and the high variability in their results prevented us from drawing definitive conclusions about the environmental impacts and resource use of UA. We provided guidelines for improving LCAs of UA, and make a strong case that more research on this topic is necessary to improve our understanding of the environmental impacts and benefits of UA.
Data Preprocessing and Quality Evaluation for Building the Power Grid Supervision Knowledge Graph

In the process of constructing the power grid supervision knowledge graph, it is necessary to sort out and integrate structured and unstructured multi-source data for knowledge extraction and reasoning. In order to solve the quality problems of multi-source data redundancy and errors, this paper proposes a multi-source data quality evaluation system to achieve multi-dimensional quality evaluation of power grid supervision data such as maintenance, defect, measurement, alarm and oil chromatography. Data preprocessing methods are firstly adopted for text and numerical data separately to complete data noise reduction, data filtering, data filling, etc. According to the actual calculation example, the practicability and effectiveness of the data preprocessing method and data quality evaluation system are verified. Finally, the data value of the power grid supervision knowledge graph is significantly improved, which is helpful to comprehensively improve the equipment state perception ability.
Beneficial anti-inflammatory and anti-arthritic activities of Grape seed proanthocyanidin extract in Freund's Complete Adjuvant-induced Rheumatoid arthritis in rats

Beneficial anti-inflammatory and anti-arthritic activities of Grape seed proanthocyanidin extract in Freund's Complete Adjuvant-induced Rheumatoid arthritis in rats Samy A. Hussein, Samir A. Abdelal , Frahat F. Ali and Mona E. Elbahlol 1 Biochemistry Department, Fac. Vet. Med., Benha University, Egypt. 2 Animal Hygiene, Behavior and Management Department, Fac. Vet. Med., Benha University, Egypt. 3 Agricultural Biochemistry Department, Faculty of Agriculture, Benha University, Egypt
Molecular Docking and Molecular Dynamics Studies of Ectoine Drug and Polyamidoamine/Ectoine Conjugates With the 6twk Protein

The interactions of 6twk protein with Ectoine drug, Polyamidoamine (PAMAM) /Ectoine and histidine modified PAMAM/Ectoine were investigated using molecular docking and molecular dynamics simulation. Based on the results of molecular docking increasing of binding energy and the decreasing of inhibition constant of the compounds, increase their inhibitory activity. Protein stability in complex with these ligands was investigated using molecular dynamics simulation approach. Results molecular dynamics simulation displayed that histidine modified PAMAM/Ectoine with the lowest mean square displacement (MSD) is the better suitable to deliver the ectoine drug. This causes the most controlled/diffusion of ectoine drug molecule. So, histidine modified PAMAM/Ectoine conjugate can be introduced for further investigations on interaction of ectoine drug and 6twk protein.
Disintegrated Market Orientation and Firm Performance: Moderating Effect of Entrepreneurial Orientation

Jawad Hussain, Palwasha Bibi, 3 Ashfaq Ahmad, Hazrat Bilal Associate Professor, Department of Commerce and Management Sciences, University of Malakand, Pakistan, jawadhussain79@gmail.com Assistant Professor, Centre for Management and Commerce, University of swat, Pakistan, Dr.palwashabibi@gmail.com Assistant Professor, Centre for Management and Commerce, University of swat, Pakistan, Ashfaqahmad79@outlook.com Assistant Professor, Centre for Management and Commerce, University of swat, Pakistan, hbilal@uswat.edu. pk ARTICLE DETAILS ABSTRACT History Revised format: February 2021 Available Online: March 2021 The interplay between strategic orientations has received limited attention in manufacturing small and medium enterprises (SMEs). The existing studies have repeatedly called for investigating the impacts of multiple strategic orientations on organizational performance. Moreover, prior research called for disintegrating the strategic orientation and assessing their effects on organizational performance. Thus, this study is the first of its nature – disintegrating the market orientation (MO) construct and using data from 213 SMEs of Pakistan, collected through survey method, which reports on how the deployment of entrepreneurial orientation (EO) as moderator produces synergistic effect and strengthens the MO dimensions –organizational performance links. The results indicate that the MO dimensions are positively and significantly related to organizational performance. Moreover, EO significantly and positively moderates the MO dimensions and organizational performance relationships. The study provides avenues for future research.
The influence of compost and arbuscular mycorrhizal fungi on sugarcane growth and nutrient uptake

Compost and Arbuscular mycorrhizal fungi are environmentally sustainable and low-cost materials that can benefit tropical soils with high phosphorus fixation and low organic matter content. This study investigated the effects of Arbuscular mycorrhizal fungi (AMF) and compost on the growth and nutrient uptake efficiency of sugarcane (Saccharum officinarum) seedlings. The experimental design was a completely randomized factorial design, where factor A (n = 5) was the compost doses (0, 15, 30, 60 and 120 t ha) and B (n = 3) the AMF inoculum (Rhizophagus clarus, Gigaspora margarita, and non-inoculated). At 30 and 90 d, seedlings’ diameter and height were measured. Mycorrhizal colonization rate, biomass production, nutrient uptake (P and N), and mycorrhizal dependency were assessed at the end of the experiment. The AMF and compost doses affected the colonization rate, initial growth, biomass production, and nutrient uptake of sugarcane seedlings. Overall, the AMF benefited plant growth at lower doses of compost. R. clarus had a higher impact on the shoot diameter of sugarcane seedlings. Mycorrhizal colonization increased with compost addition only in seedlings inoculated with G. margarita. There was no clear trend among AMF treatments for nutrient uptake. In general, sugarcane seedlings dependency on mycorrhizal condition to produce growth was higher at lower compost doses.
The Growth of Interdisciplinarity in Engineering Education in the 21st Century

Dr. Roy earned her Doctoral degree from Columbia University, NY, MS from The Cooper Union, NY, and BS from Jadavpur University, India. She has a joint appointment in Civil and Environmental Engineering Department and Management & Engineering for Manufacturing Program (a collaboration between School of Engineering and Business) as an Assistant Professor in Residence in University of Connecticut. Her research interests include interdisciplinarity in Automation, Industry 4.0, Humanitarian Engineering and Sustainability.
Evaluation of the posterior airway space following orthopaedic treatment of mandibular deficient Class II malocclusion – a pilot study

Abstract Background The use of Twin Block therapy is a well-accepted functional treatment option for the correction of a Class II malocclusion. In addition to skeletal and dental changes, its use may also promote changes in airway structure and dimension, including the size of the posterior airway space (PAS). This may be of importance in reducing the risk of developing obstructive sleep apnoea syndrome (OSAS). Materials and methods Sixteen (16) subjects (eight females and eight males) underwent treatment of a Class II division 1 malocclusion via the use of a Sydney Bonded Twin Block (SBTB) appliance followed by full fixed orthodontic therapy (FFOA). Pretreatment (T1), post-twin block (T2) and post-fixed appliance (T3) lateral cephalograms were taken and skeletal and soft tissue landmarks were hand traced. A pairwise comparison was used to assess whether there were any significant differences in the cephalometric variables between each phase of treatment (T1, T2, T3). Results The skeletal variables SNB and ANB revealed a significant change between T1-T2 (p < 0.01). The sagittal size of the nasopharynx (RPAS) also recorded a significant change between T1-T3 (p < 0.05). There was no significant change in the PAS at any stage of treatment. There was an average reduction in the ANB angle of 2° (p < 0.01) between T1-T3. Conclusions There was no significant change in the size of the PAS following SBTB treatment. However, an increase in RPAS was recorded following SBTB treatment which continued to improve during FFOA therapy.
DYNAMIC ANALYSIS OF ECONOMIC GROWTH, MONEY SUPPLY, INFLATION AND EXCHANGE RATES: USING OLS AND VAR METHODS

This study aims to analyze the influence of Money Supply, Inflation and Exchange Rate on economic growth in the quarterly period, using Ordinary Least Square and Vector Autoregressive analysis methods. The results of multiple regression tests of the Ordinary Least Square method indicate an invalid model due to the unbreakable assumptions of multicolineritas. Vector Autoregressive Stationary testing shows that all three DLNGDP, DLNCPI and DLNER variables are stationer at the first difference level. Vector Autoregressive estimates show that the impact of CPI and ER in short-term (Lag_1) is significantly positive on changes in economic growth (DLNGDP). But in the longer term (Lag_2) weakened because the influence is significantly negative. The influence of DLNGDP inaction is both negative, both DLNGDP_1, and DLNGDP_2. Gives an indication that economic growth is more determined by economic growth in the past. The Impulse Respond Function shows movement that is increasingly away from the equilibrium point, so the shock leaves a permanent influence on the variable. Variance Decomp [osition] test results show all three variables, DLNGDP, DLNCPI and DLNER are endogenous variables. Forecasting of model obtained is quite accurate because errors are getting closer to zero.
A Self-adjusting Online Map Matching Method

With the rapid development of intelligent transportation systems (ITS) and location-based services (LBS), it is more important to match the original trajectory sequence generated by users/vehicles to the actual road network. Most of the existing online map matching algorithms are based on the idea of local processing, or require richer data input and more mathematical models to ensure matching accuracy. This paper presents a simple and effective map matching method, called self-adjusting online map matching (AOMM). The algorithm is developed based on hidden Markov model (HMM). Considering the topological and geometric properties of the road network, the emission probability and transition probability calculation formulas of HMM are defined. And three adjustment strategies are provided to deal with trajectory noise points, dense trajectory points, and offset trajectory points. The algorithm only needs latitude and longitude information of trajectory points, and can match point by point. Experimental results on open trajectory data show that the algorithm has high matching accuracy and low output delay, and can meet the requirements of general online map matching tasks.
TODA Passive location for UAV based on chicken swarm algorithm

Accurate positioning of drones is one of the key technologies for drone management and security. Aiming at the characteristics of the active emission of electronic radiation signals during the operation of UAVs, the passive positioning method based on multi-station time difference of arrival (TDOA) is studied, and the problem of solving the nonlinear equation of time difference of arrival passive location is transformed into an optimization problem of seeking the extreme value of the time difference likelihood function. The chicken swarm algorithm is used to search for the best positioning coordinates. The simulation results show that the chicken swarm algorithm can quickly and stably converge to the target position in time difference of arrival passive location system.
Test-Retest Reliability of a 6DoF Marker Set for Gait Analysis in Cerebral Palsy Children

Background: Cerebral palsy (CP) is a complex pathology that describes a group of motor disorders with different presentations and functional levels. Three-dimensional gait analysis is widely used in the assessment of CP children to assist in clinical decision making. Thus, it is crucial to assess the repeatability of gait measurements to evaluate the progress of the rehabilitation process. The purpose of the study is to evaluate test-retest reliability of a six-degree-of-freedom (6DoF) marker set in key points of gait kinematics, kinetics, and time-distance parameters in children with CP. Methods: trials were performed on two different days within a period of 7.5 ± 1.4 day. Motion capture data was collected with 14 infrared, high-speed cameras at a frequency rate of 100 Hz, synchronized in time and space with two force plates. Intraclass correlation coefficients considering the two-way mixed model, and absolute agreement (ICC[A,k]) were calculated for anthropometric, time–distance, kinematic and kinetic parameters of both lower limbs. Results: the majority of gait parameters demonstrated a good ICC, and the lowest values were in the kinematic variables. Conclusions: this study indicates wide-ranging reliability values for lower limb joint angles and joint moments of force during gait, especially for frontal and transverse planes. Although the use of a 6DoF-CAST in CP children was shown to be a feasible method, the gait variation that can be observed between sessions in CP children seems to be related not only to the extrinsic factors but also to their different gait patterns and affected sides.
Autophagic flux in cancer cells at the invasive front in the tumor-stroma border

Cancer cells at the invasive front directly interact with stromal tissue that provides a microenvironment with mechanical, nutrient, and oxygen supply characteristics distinct from those of intratumoral tissues. It has long been known that cancer cells at the invasive front and cancer cells inside the tumor body exhibit highly differentiated functions and behaviors. However, it is unknown whether cancer cells at different locations exhibit a variety of autophagic flux, an important catabolic process to maintain cellular homeostasis in response to environmental changes. Here, using transmission electron microscopy (TEM), we found that invading cancer cells at the invasive front, which show mesenchymal transcriptomic traits, exhibit higher autophagic flux than cancer cells inside the tumor body in human primary non-small cell lung cancer (NSCLC) tissues. This autophagic feature was further confirmed by a live cell autophagic flux monitoring system combined with a 3D organotypic invasion coculture system. Additionally, the increased autophagic flux endows cancer cells with invasive behavior and positively correlates with the advanced tumor stages and the reduced survival period of lung cancer patients. These findings expand the understanding of autophagic dynamics during cancer invasion.
Open the SterivexTM casing: An easy and effective way to improve DNA extraction yields

We describe an inexpensive, reliable, and easily executed improvement for the extraction of DNA from SterivexTM filter units, that involves the separation of the SterivexTM filter from its casing. Our study demonstrates that our modification of the original extraction protocol significantly increased DNA yields, with an average increase of 4.1‐fold more DNA than with the standard approach. A comparison of the diversity after Illumina MiSeq sequencing of bacterial communities extracted with both the standard approach and the proposed one indicated that our modified protocol has no or little impact on the results. This protocol provides a relatively straight forward means to achieve higher yields of DNA from the extraction of SterivexTM cartridges without altering the community composition and will likely be of interest to a wide range of scientists that use techniques based on the recovery of DNA from filters.
Engineered production of pyridoxal 5′-phosphate in Escherichia coli BL21

Abstract Pyridoxal 5′-phosphate (PLP) is the coenzyme of more than 140 enzymes and is widely used in various fields. In this study, to enhance the production of PLP in Escherichia coli BL21, the recombinant strain E. coli BL21/pETDuet-1-pdxj-zwf-dxs was constructed. The concentration of PLP in this strain was 82.69 mg/L, which was increased by 1.38-fold as compared to that in E. coli BL21. Glucose, yeast extract, and pH had an obvious impact on the concentration of PLP, and their optimal levels were 34.89 g/L, 31.17 g/L, and 10.07, respectively. The concentration of PLP under the optimal condition reached 2.23 g/L. The time-course analysis showed that the highest concentration of PLP was 2.32 g/L in recombinant strain after the induction for 12 h by 0.1 mM IPTG in a 1 L shake flask, which was increased by 38.76-fold as compared to that in E. coli BL21. This study provides a good basis for the efficient production of PLP in E. coli BL21.