Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnosis of Important Virus Diseases of Ornamental Anthurium in Screen- Houses in Tehran Province

Introduction: One of the limiting factors for Anthurium production is its infection with various viruses. During the year 2014- 2015, a total of 504 symptomatic ornamental Anthurium leaf samples with virus-like symptoms including leaf and flower blister, dwarfing, mosaic, yellowing, leaf marginal chlorosis, and deformity were collected from Varamin and Pakdasht (Tehran province) Screen-houses. Aim: Samples were tested for infection to Cucumber mosaic virus (CMV), Tomato spotted wilt virus (TSWV), Impatiens necrotic spot virus (INSV) and Dasheen mosaic viruses (DaMV). Method: Biological, serological (ELISA) and molecular methods (RT-PCR) were performed for the detection and analysis of the important viral agents infecting Anthurium ornamental plants. Results: According to ELISA test results the prevalence of CMV were (31.54%) followed by TSWV (25%) and DaMV (7.93%) viruses respectively. Results of mechanical inoculation and host range reaction of CMV, TSWV and DaMV isolates were also recorded (fig 2). Coat protein gene sequence of Iranian CMV isolate showed the highest similarity (97%) with a CMV isolate Cucurbit pepo (Acc. No.GU327368.1) from South Korea. DMV on ornamental Anthurium is reported for the first time in this research from Iran. Conclusion: Despite the detection of CMV, TSWV and DaMV in this study, viral pathogens are one of the most economically damaging agents in the ornamental Anthurium plant. Development of research methods for, the detection and study of different isolates of these agents from different hosts, and study of the characteristics of each of these isolates has always been a scientific need.
Focus of Professional Development on Teachers’ Felt Needs: A Paradigm Shift in Policy

A professional development that is often mandated is exclusionary, less motivating, and provides teachers with little or no improvement in their professional practice as well as student achievement. This necessitates a fundamental change in policy from prescribing professional development to addressing teachers’ self-identified felt needs. Hitherto, teachers are generally disenfranchised from specifying their felt needs for development, thus they feel uninterested, or enthusiastic to attend professional development programs that are prescribed for them by school leaders. When they do or are compelled to attend, they tend to be less attentive and are often indulged in reading newspapers, grading students’ test papers, texting, playing video games, or simply doing something unrelated to the professional development. This practice stifles teachers’ professional growth and student learning, hence it must not be allowed to continue unabated. Through a qualitative case study research design, using survey, interviews, and focus groups, this research brought to the fore, the debilitating effects of the current practice. Analysis of data yielded four major themes: choice, motivation, effectiveness, and satisfaction. The study proposed a paradigm shift in policy from mandating to granting teachers the autonomy to identify their own real or felt needs for professional development. Implications for practice, leadership, policy, and further research were also discussed.
Design and Synthesis of Novel Bis-Imidazolyl Phenyl Butadiyne Derivatives as HCV NS5A Inhibitors

In today’s global plan to completely eradicate hepatitis C virus (HCV), the essential list of medications used for HCV treatment are direct-acting antivirals (DAAs), as interferon-sparing regimens have become the standard-of-care (SOC) treatment. HCV nonstructural protein 5A (NS5A) inhibitors are a very common component of these regimens. Food and Drug Administration (FDA)-approved NS5A inhibitors, although very potent, do not have the same potency against all eight genotypes of HCV. Therefore, this study aims to synthesize NS5A inhibitor analogues with high potency pan-genotypic activity and high metabolic stability. Starting from an NS5A inhibitor scaffold previously identified by our research group, we made several modifications. Two series of compounds were created to test the effect of changing the length and spatial conformation (para-para vs. meta-meta-positioned bis-imidazole-proline-carbamate), replacing amide groups in the linker with imidazole groups, as well as different end-cap compositions and sizes. The frontrunner inhibits genotype 1b (Con1) replicon, with an EC50 value in the picomolar range, and showed high genotypic coverage with nanomolar range EC50 values against four more genotypes. This together with its high metabolic stability (t½ > 120 min) makes it a potential preclinical candidate.
Geospatial assessment of active tectonics using SRTM DEM-based morphometric approach for Meghalaya, India

ABSTRACT Meghalaya, situated over the Shillong Plateau in the northeastern region of India, is considered a seismo-tectonically active region because of the Indian-Eurasian convergence and rising since the Cenozoic era. The present study aims to identify active deformation zones due to tectonic activity following a morphometric approach. Based on DEM data and GIS techniques, morphometry parameters along with geomorphic indices are obtained which allows the analysis of geomorphic processes responsible for the region’s landscape evolution, and indices of relative active tectonics (IRAT) are calculated by combining them. High drainage density, larger ruggedness number, intermediate to high hypsometric integral values with S/convex-type hypsometric curve, lower valley floor width-to-height ratio and stream sinuosity index values suggesting the region is tectonically active and according to IRAT, the Khasi and Jaintia Hills region (the central and eastern part) of the Meghalaya possesses relatively higher tectonic levels. The variation of tectonic activity is not uniform in the same structural feature and is found to be lower in the western portion and higher towards the east along the same Dauki Fault.
Design, Cytotoxicity and Antiproliferative Activity of 4-Amino-5-methyl-thieno[2,3-d]pyrimidine-6-carboxylates against MFC-7 and MDA-MB-231 Breast Cancer Cell Lines

Novel 4-amino-thieno[2,3-d]pyrimidine-6-carboxylates substituted at the second position were prepared by cyclocondensation of 2-amino-3-cyano-thiophene and aryl nitriles in an acidic medium. The design of the target compounds was based on structural optimization. The derivatives thus obtained were tested in vitro against human and mouse cell lines. The examination of the compound effects on BLAB 3T3 and MFC-10A cells showed that they are safe, making them suitable for subsequent experiments to establish their antitumor activity. The photoirritancy factor of the compounds was calculated. Using the MTT test, the antiproliferative activity to MCF-10A, MCF-7 and MDA-MB-231 cell lines was estimated. The best antiproliferative effect in respect to the MCF-7 cell line revealed compound 2 with IC50 4.3 ± 0.11 µg/mL (0.013 µM). The highest selective index with respect to MCF-7 cells was shown by compound 3 (SI = 19.3), and to MDA-MB-231 cells by compound 2 (SI = 3.7). Based on energy analysis, the most stable conformers were selected and optimized by means of density functional theory (DFT). Ligand efficiency, ligand lipophilicity efficiency and the physicochemical parameters of the target 4-amino-thienopyrimidines were determined. The data obtained indicated that the lead compound among the tested substances is compound 2.
An Approach Towards Parametric Optimisation of Construction Frames for Cartesian Industrial Robots

The paper presents an approach to parametric optimization with response surface methodology. This process was performed based on the design of a construction frame for a Cartesian industrial robot. The presented installation is dedicated to the real industrial pick-and-place application. Firstly, the case study was described with relevant information about the components involved. Then, the finite element model with constraints and loads, as well as the settings of the response surface optimization were discussed. The simulation was presented to the reader within all the stages with necessary details. Into consideration were taken six methods of creating response surfaces. Influence on the final optimization result and prediction accuracy of each one was presented. In the end, to validate the outcomes of the process, the static structural analysis of the setup was computed.The paper compares the impact of applying different methods of response surface generation on the results of parametric optimization. Moreover, it indicates the most vulnerable fragments of dynamically loaded elements made of construction profiles. Its results may be used to select appropriate settings in similar applications, mainly for frame structures.
STATISTICAL PREDICTION OF RUMEN VOLUME IN FRIESIAN BULLS USING FOUR DIFFERENT MARKERS AND LIVE BODY WEIGHT

Twenty four Friesian bulls with a mean live body weight of 450±32 Kg, belonging to Sakha experimentral farms were used in the present study under the same dietary regime. The rumen volume and flow rate were estimated from the rate of decline in concenteration of a marker in the rumen fluid following a single ruminal injection. The results of several determination methods of rumen volume using different markers ( lithium sulphate, polyethelienglycol, Cr-EDTA and Cr 2 O 3 ) gave similar values with differences ranging from 6 to 18%. Rumen volumes as determined by different methods are significantly (p<0.01) correlated with live body wieght. The correlation coefficient values ranged from 0.60 to 0.79. The direct determination of rumen volum were done by substituting rumen content by water ( physical volume) gave rumen volume values ranged from 30 to 36% higher than that estimated by using marker methodes. The flow rate of rumen contentes was affected significantly (p<0.05) according markers.The values of flow rate ranged from 3.5% to 4.9% from the total volume per houre. This values equipoise disharge rate ranged from . 84 to 1.25 times per day. Using Polyethyleneglycole gave the nearst estemated value to the true rumen volume (Physical volume) r =0.92 comparing with the rest used markers.
A GoldenBraid-Compatible Virus-Based Vector System for Transient Expression of Heterologous Proteins in Plants

We have developed a Potato virus X (PVX)-based vector system compatible with the GoldenBraid 2.0 (GB) cloning strategy to transiently express heterologous proteins or peptides in plants for biotechnological purposes. This vector system consists of three domestication vectors carrying three GB parts—the cauliflower mosaic virus (CaMV) 35S promoter with PVX upstream of the second subgenomic promoter of the PVX coat protein (PVX CP SGP), nopaline synthase (NOS) terminator with PVX downstream of the first PVX CP SGP and the gene of interest (GOI). The full-length PVX clone carrying the sequence encoding a green fluorescent protein (GFP) as GOI was incorporated into the binary GB vector in a one-step reaction of three GB parts using the four-nucleotide GB standard syntax. We investigated whether the obtained vector named GFP/pGBX enables systemic PVX infection and expression of GFP in Nicotiana benthamiana plants. We show that this GB-compatible vector system can be used for simple and efficient assembly of PVX-based expression constructs and that it meets the current need for interchange of standard biological parts used in different expression systems.
Predicting compressive strength of green concrete using hybrid artificial neural network with genetic algorithm

With the growing usage of supplementary cementitious materials (silica fume, fly ash, and ground blast furnace slag, etc.) in concrete, accurate prediction of green concrete compressive strength (CS) has become an issue worth investigating. In this paper, a green concrete CS prediction model was developed using hybrid artificial neural network with genetic algorithm (GA‐ANN) based on 2479 green concrete CS experiment results. Also two prediction models based on support vector regression (SVR) and ANN algorithm were developed for comparison. Five new parameters were constructed based on the original nine influencing parameters of CS, taking all 14 parameters as input variables, the influence of the constructed parameters on the model performance was studied. Feature selection was then performed based on the maximum information correlation (MIC) and sensitivity analysis results, which could improve the model by deleting several parameters. The results showed that the prediction performance of the SVR, ANN, and GA‐ANN models were improved after adding new parameters, the GA‐ANN model has the best prediction performance. The accuracy and robustness of the GA‐ANN model were effectively improved by deleting the input variables with lower MIC and sensitivity values.
Cost effectiveness analysis of adopting Gene-Xpert® (GX) for the Diagnosis of Tuberculosis in Egypt

Background: Tuberculosis is one of the most devastating infectious diseases worldwide. It constitutes a major global health problem infecting millions of people each year, with a particular heavier burden on the developing world. Objective : evaluating the cost effectiveness of incorporating Gene Xpert to sputum microscopy compared to sputum microscopy and culture for diagnosis of tuberculosis and multidrug-resistant (MDR) tuberculosis in low- to middle-prevalence settings like Egypt. Design : An economic evaluation study was conducted using a decision analysis model representing the diagnostic process starting with tuberculosis suspects, continuing to tuberculosis cases, and ending with treatment. The model outcome was the incremental cost per incremental DALYs (Disability Adjusted Live Years) averted between the new GX algorithms incorporated with smear microscopy versus the standard algorithm for detection of suspect TB case. Results : Xpert testing is estimated to result in additional costs (EGP 2,320) per each DALY averted compared to sputum microscopy and culture. Conclusion : The results of this study advocate that GXpert is a cost-effective method of TB diagnosis, compared to a base case of smear microscopy and clinical diagnosis with its ability to substantial increase in case finding. It has also important potential for improving tuberculosis diagnosis and disease control.
Workplace Bullying in Academia: A Conditional Process Model

Guided by the job demand-control-support model of workplace strain, this study tested a theoretical model of academic work environments to explain workplace bullying in academia. College professors (N = 503) completed a questionnaire about working in academia and experiencing bullying at work. Results of a conditional process analysis revealed that psychological job demands affected workplace bullying incidents directly, and indirectly through increased occupational stress; however, the mediated effect depended on how supportive the supervisor was and how much control professors had over their job duties (moderated moderated mediation). In departments where supervisors provided low to average social support to faculty, the indirect effect on bullying was weakened when professors had more decision authority over how they completed their job demands (moderated mediation). However, in departments where supervisors were highly supportive, there was no indirect effect of demands on workplace bullying through stress, despite how much or little decision authority professors had in doing their jobs (no moderated mediation). These findings speak to the importance of appointing a chairperson who will encourage professors’ autonomy in completing their work, and, more crucially, provide social support to discourage faculty bullying in response to job stressors.
Advances in Electrochemical Techniques for the Detection and Analysis of Genetically Modified Organisms: An Analysis Based on Bibliometrics

Since the first successful transgenic plants obtained in 1983, dozens of plants have been tested. On the one hand, genetically modified plants solve the problems of agricultural production. However, due to exogenous genes of transgenic plants, such as its seeds or pollen drift, diffusion between populations will likely lead to superweeds or affect the original traits. The detection technology of transgenic plants and their products have received considerable attention. Electrochemical sensing technology is a fast, low-cost, and portable analysis technology. This review interprets the application of electrochemical technology in the analysis and detection of transgenic products through bibliometrics. A total of 83 research articles were analyzed, spanning 2001 to 2021. We described the different stages in the development history of the subject and the contributions of countries and institutions to the topic. Although there were more annual publications in some years, there was no explosive growth in any period. The lack of breakthroughs in this technology is a significant factor in the lack of experts from other fields cross-examining the subject. Through keyword co-occurrence analysis, different research directions on this topic were discussed. The use of nanomaterials with excellent electrical conductivity allows for more sensitive detection of GM crops by electrochemical sensors. Furthermore, co-citation analysis was used to interpret the most popular reports on the topic. In the end, we predict the future development of this topic according to the analysis results.
Analysis of the Lifecycle of Mechanical Engineering Products

Principal phases of the lifecycle of mechanical engineering products are analyzed in the paper. The authors have developed methods and procedures to improve designing, manufacturing, operating and recycling of the machine. It has been revealed that economic lifecycle of the product is a base for appropriate organization of mechanical engineering production. This lifecycle is calculated as a minimal sum total of consumer and producer costs. The machine construction and its manufacturing technology are interrelated through a maximal possible company profit. The products are to be recycled by their producer. Recycling should be considered as a feedback phase, necessary to make the whole lifecycle of the product a constantly functioning self-organizing system. The principles, outlined in this paper can be used as fundamentals to develop an automated PLM-system.
Recent Advancements in Microneedle Technology for Multifaceted Biomedical Applications

Microneedle (MNs) technology is a recent advancement in biomedical science across the globe. The current limitations of drug delivery, like poor absorption, low bioavailability, inadequate skin permeation, and poor biodistribution, can be overcome by MN-based drug delivery. Nanotechnology made significant changes in fabrication techniques for microneedles (MNs) and design shifted from conventional to novel, using various types of natural and synthetic materials and their combinations. Nowadays, MNs technology has gained popularity worldwide in biomedical research and drug delivery technology due to its multifaceted and broad-spectrum applications. This review broadly discusses MN’s types, fabrication methods, composition, characterization, applications, recent advancements, and global intellectual scenarios.
Healthy humans can be a source of antibodies countering COVID-19

ABSTRACT Here, we describe the isolation of 18 unique anti SARS-CoV-2 human single-chain antibodies from an antibody library derived from healthy donors. The selection used a combination of phage and yeast display technologies and included counter-selection strategies meant to direct the selection of the receptor-binding motif (RBM) of SARS-CoV-2 spike protein’s receptor binding domain (RBD2). Selected antibodies were characterized in various formats including IgG, using flow cytometry, ELISA, high throughput SPR, and fluorescence microscopy. We report antibodies’ RBD2 recognition specificity, binding affinity, and epitope diversity, as well as ability to block RBD2 binding to the human receptor angiotensin-converting enzyme 2 (ACE2) and to neutralize authentic SARS-CoV-2 virus infection in vitro. We present evidence supporting that: 1) most of our antibodies (16 out of 18) selectively recognize RBD2; 2) the best performing 8 antibodies target eight different epitopes of RBD2; 3) one of the pairs tested in sandwich assays detects RBD2 with sub-picomolar sensitivity; and 4) two antibody pairs inhibit SARS-CoV-2 infection at low nanomolar half neutralization titers. Based on these results, we conclude that our antibodies have high potential for therapeutic and diagnostic applications. Importantly, our results indicate that readily available non immune (naïve) antibody libraries obtained from healthy donors can be used to select high-quality monoclonal antibodies, bypassing the need for blood of infected patients, and offering a widely accessible and low-cost alternative to more sophisticated and expensive antibody selection approaches (e.g. single B cell analysis and natural evolution in humanized mice). Graphical Abstract
Exploration on the Application Path of College English MOOCS Teaching under the Background of Internet of Things

While the development of information and communication technology has brought great changes to social industrial structure and economic development, it has also reshaped people's cognition and thinking modes to a great extent and has paid attention to the field of education under the guidance of technology. The reform of education is taking place. According to the background of the Internet of things, the teaching quality evaluation index is reconstructed with the help of principal component analysis, support vector machine, and fuzzy algorithms, and the application performance and practical results of the improved teaching path are analyzed. The results show that the evaluation accuracy of the improved hybrid algorithm for teaching quality reaches more than 90%, and its evaluation time is far less than that of the SVM algorithm (10.23 s), and it has a good application effect on the evaluation of teaching quality. The increase of students' satisfaction with the improved teaching quality has reached 5.8%, and their professional skills have improved by 6–25 points. After expert evaluation, it is found that the maximum satisfaction frequency of teaching content and teaching effect can reach 96.7% and 91.3%, respectively. Reconstructing the index system of the English path under the background of the Internet of things can better grasp students' learning needs and integrate multiple methods to provide new research ideas for follow-up English teaching.
Casimir effect between spherical objects: Proximity-force approximation and beyond using plane waves

For the Casimir interaction between two nearby objects, the plane-wave basis proves convenient for numerical calculations as well as for analytical considerations leading to an optical interpretation of the relevant scattering processes of electromagnetic waves. We review work on the proximity-force approximation (PFA) and corrections to it within the plane-wave basis for systems involving spherical objects. Previous work is extended by allowing for polarization mixing during the reflection at a sphere. In particular, explicit results are presented for perfect electromagnetic conductors. Furthermore, for perfect electric conductors at zero temperature, it is demonstrated that beyond the leading-order correction to the PFA, terms of half-integer order in the distance between the sphere surfaces appear.