Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrated Strategy of UHPLC-Q-TOF-MS and Molecular Networking for Identification of Diterpenoids from Euphorbia fischeriana Steud. and Prediction of the Anti-Breast-Cancer Mechanism by the Network Pharmacological Method

Breast cancer is one of the most common malignancies in women worldwide. Traditional Chinese medicine has been used as adjunctive or complementary therapy for breast cancer. Diterpenoids from Euphorbia fischeriana Steud. have been demonstrated to possess anti-breast-cancer activity. This research was aimed to systematically explore the diterpenoids from E. fischeriana and study the multiple mechanisms on breast cancer. The structures of diterpenoids were identified by the integrated strategy of UHPLC-Q-TOF-MS and molecular networking. A total of 177 diterpenoids belonging to 13 types were collected. In silico ADME analysis was performed on these compounds. It indicated that 130 of 177 diterpenoids completely adjusted to Lipinski's rule. The targets of compounds were obtained from PharmMapper. The targets of breast cancer were collected from GeneCards. Then, 197 compounds-related targets and 544 breast cancer-related targets were identified. After the intersection process, 58 overlapping targets between compounds-related targets and breast cancer-related targets were acquired. The STRING database was applied to predict the protein-protein interactions. The GO and KEGG pathway enrichment analysis were performed by using the KOBAS database. It indicated that these predicted pathways were closely related to breast cancer. The treatment effect of E. fischeriana on breast cancer might be performed through signaling pathways, such as IL-17 signaling pathway, MAPK signaling pathway, and PI3K-Akt signaling pathway. The predicted top genes such as EGFR, ESR, MAPK, SRC, CASP3, CDK2, and KDR were involved in cell proliferation, gene transcription, apoptosis, signal transduction, DNA damage and repair, tumor differentiation, metastasis, and cell cycle, which indicated that E. fischeriana might treat breast cancer comprehensively. A compounds-KEGG pathways-related targets network was built by using cytoHubba to analyze the hub compounds and targets. It concluded that E. fischeriana treated breast cancer not only by the main components but also by the microconstituents, which reflected the overall regulatory role of multicomponents treating breast cancer. To estimate the binding affinities, binding sites, and binding postures, molecular docking simulations between 177 diterpenoids and top 19 targets were carried out. The results are basically in line with expectations. In conclusion, these results can serve as references for researchers studying potential targets of diterpenoids from E. fischeriana on breast cancer in the future.
High burden and seasonal variation of paediatric scabies and pyoderma prevalence in The Gambia: A cross-sectional study

Background Scabies is a WHO neglected tropical disease common in children in low-and middle-income countries. Excoriation of scabies lesions can lead to secondary pyoderma infection, most commonly by Staphyloccocus aureus and Streptococcus pyogenes (group A streptococcus, GAS), with the latter linked to acute post-streptococcal glomerulonephritis (APSGN) and potentially rheumatic heart disease (RHD). There is a paucity of data on the prevalence of these skin infections and their bacterial aetiology from Africa. Materials/methods A cross-sectional study, conducted over a four-month period that included the dry and rainy season, was conducted to determine the prevalence of common skin infections in Sukuta, a peri-urban settlement in western Gambia, in children <5 years. Swabs from pyoderma lesions were cultured for S. aureus and GAS. Results Of 1441 children examined, 15.9% had scabies (95% CI 12.2-20.4), 17.4% had pyoderma (95% CI 10.4-27.7) and 9.7% had fungal infections (95% CI 6.6-14.0). Scabies were significantly associated with pyoderma (aOR 2.74, 95% CI 1.61-4.67). Of 250 pyoderma swabs, 80.8% were culture-positive for S. aureus, and 50.8% for GAS. Participants examined after the first rains were significantly more likely to have pyoderma than those examined before (aRR 2.42, 95% CI 1.38-4.23), whereas no difference in scabies prevalence was seen (aRR 1.08, 95% CI 0.70-1.67). Swab positivity was not affected by the season. Conclusions High prevalence of scabies and pyoderma were observed. Pyoderma increased significantly during rainy season. Given the high prevalence of GAS pyoderma among children, further research on the association with RHD in West Africa is warranted. Summary This cross-sectional study of skin infections in The Gambia revealed prevalence of scabies, pyoderma and fungal infections in children <5 years of 15.9%, 17.4% and 9.7% respectively, with increased bacterial skin infections in the rainy season.
Composting process design computer model

A user-friendly computer package, COMPOST, was developed as a design, management, and educational tool to assess composting system requirements. The user enters ingredient characteristics along with critical operational parameters. Output includes the quantity of amendment required to supply the energy needed, the quantity of recycled compost required to adjust the initial moisture content, the mixture moisture content, and the carbon-to-nitrogen ratio of the mixture. The volume required for active composting and curing is calculated along with air flow rates for oxygen supply, moisture removal, and temperature control. The calculations in COMPOST are based on the assumption of a continuous, completely mixed system where ingredients are continuously added and product is continuously removed. However, calculations for mixtures of residue, amendment, and recycled compost and water also apply to batch systems. Peak air flow is calculated to reflect the requirement for a batch system.
Biogeography based optimization (BBO) algorithm to minimise non-productive time during hole-making process

Tool path optimization in today’s manufacturing systems is one of the crucial issues in holes-making machining. This paper presents an evolutionary optimization algorithm based on geographic distribution of biological organism to deal with hole-making process problem. The proposed approach tackles the sequencing problem when several holes must be drilled by means of different tools to reach their desired size. The aim of this study is to minimise the non-productive time, including tool travelling time and tool switching time, by employing biogeography based optimization algorithm, since the problem is considered as NP-hard. The performance of proposed algorithm is evaluated based on various test problems adopted from the literature. The obtained results demonstrate that the proposed algorithm can efficiently improve the solution quality in terms of minimising non-productive time.
Architectural and Structural Modelling for the Conservation of Cathedrals

Abstract Accurate documentation and study of architectural heritage is the first essential step in the design and implementation of effective conservation strategies. This paper presents a methodology for the survey and retrieval of information concerning cathedrals, as applied to the scissors arches and central tower of Wells Cathedral. The survey makes use of advanced technological tools, such as electronic distance measurement and close-range photogrammetry, together with direct inspection techniques on relevant parts of the structure. The survey data is stored electronically and used to build an updateable detailed three- dimensional (3-D) computer model, to be used for conservation monitoring. This model is integrated into an object-oriented hierarchical database, used as an interactive logbook for future conservation management of the Cathedral central crossing. The paper discusses the relevance of this work within the current trends in conservation, highlights the reason for choosing the central crossing of Wells Cathedral, and presents the methodology followed for the development of the 3-D model.
The Use of the λ Bacteriophage to Neutralize the Pathogenic Effects of Shiga Toxins from Escherichia Coli to Combat Antimicrobial Resistance: A Research Protocol

Introduction : Resistance to antibiotics is becoming a global health crisis. Certain strains of Escherichia coli bacteria are resistant to antibiotic drugs and thrive without competition. Pathogenic effects of E. coli are caused by Shiga toxins they produce. Instead of attempting to kill the pathogens, we propose altering the bacterial genome of E. coli , causing the expression of globotriaosylceramide (Gb 3 ) receptors, effectively neutralizing produced toxins. Methods : Phages are introduced to cultured E. coli cells and incorporate their DNA into the bacterial genome. Mutation vectors are transformed into E. coli cells using electroporation, causing expression of Gb 3 receptors and preventing the lysing of the cell. Next, exposure to UV light causes phages to enter the lytic cycle, and mutated phages can be collected. Then, E. coli cells will be administered to 28 Wistar rats, and phage treatments causing expression of Gb 3 receptors on E. coli cells will be administered to the treatment group. Rats in both groups will be monitored for symptomatology of E. coli poisoning, and stool samples will be collected and analyzed for quantities of Shiga toxins.
UNDERSTANDING THE FACTORS THAT AFFECT THE SUSTAINED USE OF CHATBOTS WITHIN ORGANIZATIONS

Conversational user interfaces also known as chatbots have become widely adopted within the banking sector, as they present numerous advantages such as cost reduction, increased efficiency and quicker servicing of customers. However, these benefits only materialize if organizations ensure the sustained use of these technologies. Hence, identifying the main factors that drive the sustained use of these services is critical to assess new technology adoption given that a very high number of IT implementations fail. Researchers have relied on technology acceptance models to analyze the adoption of these new technologies within organizations; however, little is known about the factors that ensure their sustained use. The concept of sustained use is considered by researchers not simply as an extension of adoption behavior, but rather as having a long-term focus and as being determined by different sets of antecedents. Using a qualitative methodology based on in-depth interviews with employees of a leading bank operating in a number of developing economies, this research addresses the gap in the literature by investigating the factors that contribute to the sustained use of conversational user interfaces. Findings reveal that eight main internal and external factors are essential to promote the sustained use of chatbots, the most prominent of which are: a positive human-technology relationship, a favorable corporate culture, an adequate regulatory framework and the technology’s high perceived efficiency.
Easily adaptable head-free training system of macaques for tasks requiring precise measurements of eye position

We describe a modified system for training macaque monkeys without invasive head immobilization on visuomotor tasks requiring the control of eye-movements. The system combines a conventional primate chair, a chair-mounted infrared camera for measuring eye-movements and a custom-made concave reward-delivery spout firmly attached to the chair. The animal was seated head-free inside the chair but the concavity of the spout stabilized its head during task performance. Training on visual fixation and discrimination tasks was successfully performed with this system. Eye-measurements, such as fixation-precision, pupil size as well as micro-saccades were comparable to those obtained using conventional invasive head-fixation methods. The system is inexpensive (∼$40 USD material cost), easy to fabricate in a workshop (technical drawings are included), and readily adjustable between animals without the need to immobilize or sedate them for these adjustments. Highlights We developed an approach to train macaque monkeys head-free on visuomotor tasks requiring measurements of eye position The setup is inexpensive, easy to build, and readily adjusted to the animal without the need for sedation The system was tested for training on a visual fixation and a visual discrimination task Eye measurements (fixation precision, pupil size, microsaccades) were comparable to those from head-fixed animals
Urban Functional Zone Mapping With a Bibranch Neural Network via Fusing Remote Sensing and Social Sensing Data

Urban functional zones (UFZs) are the urban spaces divided by various functional activities and are the basic units of daily human activities. UFZ mapping, which identifies the UFZ categories in different spatial areas of a city, is of considerable significance to urban management, design, and sustainable development. Various deep learning-based (DL-based) methods, which achieved remarkable results in an end-to-end supervised process, were proposed for UFZ mapping. However, the excellent performance of DL-based models relies heavily on a large number of well-annotated samples, which is impossible to obtain in practical UFZ mapping scenarios. Obtaining these well-annotated samples requires a lot of manual costs, which greatly limits the outcome of these methods in practical UFZ mapping tasks. In this article, we proposed a UFZ mapping method using OpenStreetMap-based (OSM-based) sample generation and the bi-branch neural network (BibNet). By adopting the idea of OSM-based sample generation, the proposed method utilized large-scale crowdsourcing labeled data (source domain) in OSM to generate a UFZ dataset (target domain) from OSM using remote sensing and social sensing data. Considering the inconsistent response of UFZ to various data observations, it is difficult to fully reflect the characteristics of UFZs using only remote sensing or social sensing data. We further proposed the BibNet, which utilizes two different deep neural network branches to comprehensively harness remote sensing images and social sensing data to map the UFZ. Experiments were conducted in Shenzhen City and Hong Kong City (Yau Tsim Mong District, Sham Shui Po District and Kowloon City District). The proposed method achieved an overall accuracy (OA) of 94.46% in the testing set of Shenzhen City and OA of 91.90% in the testing set of Hong Kong City.
Potential of two indigenous strains of entomopathogenic nematodes, (Steinernema feltiae and Heterorhabditis bacteriophora) against the tomato leafminer (TLM), Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae), under laboratory and greenhouse environmental bioassay

The tomato leafminer (Tuta Absoluta) is an important pest of tomato crops which have features like; high reproductive potential, Invasive species are major threats to agronomic and natural ecosystems. Based on the pathogenicity of strains, only two isolates effectively show larvicidal activity. The native isolate was obtained from soil samples, collected from Rajgarh, Hamachi Pradesh, India. Petri dish bioassay use nematodes S. feltiae HR1 and H. bacteriophora HR2 species dose (0, 10, 20, 40, 80, 160/ IJs/cm2). The (%) 1st instar larval mortality was ranged from 24.15 to 85.38 %. 2nd instar from 29.87 to 90.00 %. 3rd instar from 24.15 to 90.00 %. 4th instar from 31.53 to 90.00 % and pupae stage mortality was ranged from 31.53 to 85.38 %. Larvicidal activity after 48- and 72-hours exposure, the S. feltiae and H. bacteriophora (1.0, 1.30, 1.60, 1.90, 2.20/IJs/cm2) showed potent larvicidal activity with LC50, LC75 and LC90 of all instars and pupa show high mortality. The strain inhibits the larval and pupal development 48 to 72 hr exposer time with LC50 range from 05.42 to 23.67, LC75 20.29 to 83.12, LC90 16.52 to 98.89. Green house test is using the seam isolate of EPNs (HR1, HR2) on foliar application it caused by significant mortality results. These studies demonstrate the challenge for invasive species. The local indigenous strains of EPNs (S. feltiae HR1, H. bacteriophora HR2) as a good biocontrol agent against invasive pest of T. absoluta.
A product cost estimation for the early design of sedans using neural networks

Reducing the product cost at the early design stage is rarely implemented among Chinese automakers due to the lack of an effective cost estimation tool. In this paper, a Back Propagation (BP) neural networks-based cost estimation method is proposed for designers and managers. The product cost differences that are caused by design changes could be evaluated and the market position of a new sedan could be targeted. To avoid the inaccessibility of the confidential cost data, the product costs are calculated backward from retail prices with product cost ratios. Instead of introducing pilot data, real-world data are adopted in this study. The prices and specifications of sedans are retrieved through an authentic automobile website, while the product cost ratio is estimated by a panel of experts with the Delphi method. The neural networks are trained with the data to estimate the product cost. The application of this method for new sedan development in a Chinese automotive company is also presented.
Some Studies on Forming Optimization with Genetic Algorithm

Forming is a compression-tension process involving wide spectrum of operations and flow conditions. The result of the process depends on the large number of parameters and their interdependence. The selection of various parameters is still based on trial and error methods. In this paper the authors presents a new approach to optimize the geometry parameters of circular components, process parameters such as blank holder pressure and coefficient of friction etc. The optimization problem has been formulated with the objective of optimizing the maximum forming load required in Forming. Genetic algorithm is used for the optimization purpose to minimize the drawing load and to optimize the process parameters. A finite element analysis simulation software Fast Form Advanced is used for the validations of the results after optimization.
Degradation in Gas Turbine Systems

Any prime mover exhibits the effects of wear and tear over time. The problem of predicting the effects of wear and tear on the performance of any engine is still a matter of discussion. Because the function of a gas turbine is the result of the fine-tuned cooperation of many different components, the emphasis of this paper is on the gas turbine and its driven equipment (compressor or pump) as a system, rather than on isolated components. We will discuss the effect of degradation on the package as part of a complex system (e.g., a pipeline, a reinjection station, etc.). Treating the gas turbine package as a system reveals the effects of degradation on the match of the components as well as on the match with the driven equipment. This article will contribute insights into the problem of gas turbine systent degradation. Based on some detailed studies on the mechanisms that cause engine degradation, namely, changes in blade surfaces due to erosion or fouling, and the effect on the blade aerodynamics; changes in seal geometries and clearances, and the effect on parasitic flows; and changes in the combustion system (e.g., which result in different pattern factors), the effects of degradation will be discussed. The study includes a methodology to simulate the effects of engine and driven equipment degradation. With a relatively simple set of equations that describe the engine behavior, and a number of linear deviation factors which can easily be obtained from engine maps or test data, the equipment behavior for various degrees of degradation will be studied. A second model, using a stage by stage model for the engine compressor, is used to model the compressor deterioration. The authors have avoided to present figures about the speed of degradation, because it is subject to a variety of operational and design factors that typically cannot be controlled entirely.
Design of a small, low‐profile print antenna using a Peano line

This article describes a small, low‐profile linear antenna that is fed at the tip of a half‐wavelength element to maintain the input impedance high with a metallic reflector at a position near the antenna. A CPW‐like port at one end of a linear element yields a capacitive coupling with the metallic reflector resulting in a resistance of 50 Ω at the serial resonant frequency. Using this feed structure, a low‐profile electrically small antenna using a Peano line antenna is presented. The antenna gain and radiation efficiency of this antenna is compared with those of a meander antenna with the same dimensions and feed structure. The radiation efficiency of the Peano line antenna increases by ∼2 dB compared with that of the meander line at the 1‐GHz band. Finally, the polarization parameters are presented. © 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 1833–1838, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24511
Users’ satisfaction survey on building maintenance in public housing

Purpose – A building maintenance scheme introduced by the Hong Kong Housing Authority in January 2006 employed contractors and public housing owner's frontline representatives to provide inspection in the public rental housing tenants’ units and arrange corresponding repair works. This study aims to base on the public rental housing (PRH) tenants’ perceptions to measure maintenance contractor service quality performance.Design/methodology/approach – Questionnaire is used as the assessment tool which is derived based on the SERVQUAL approach to measure public rental housing tenants’ expectations and perceptions on maintenance contractor performance.Findings – The findings illustrate that dimensions of “tangible” and “reliability” have the largest discrepancy between expectation level and perception level. They are mainly related to the concern of disturbance to PRH tenants brought by maintenance contractors in respect of manpower arrangement. These findings support that there is a need for maintenance cont.
The Impact Of Employer Brand On Retaining The Knowledge Employees In The Telecommunication Sector In Sri Lanka

The research aims to find out the impact of employer brand on retaining the knowledge employees in the telecommunication sector in Sri Lanka. By using the primary data, the researcher tends to find the factors which make the knowledge employees more attractive and to identify the impact of employer brand on retaining the knowledge employees with identifying the mediating effect of Job satisfaction. Based on this findings telecommunication sector’s brand has significant impact on knowledge employee retention. Also it was found that there is a mediating effect of job satisfaction in between employer brand and employee retention. Multiple regression revealed that dimensions of employer brand such as economic value, social value, interest value and reputation value significantly affect the knowledge employee retention but the dimensions of development value, application value and personal value are not significant. Furthermore, a simple regression analysis showed that there is a significant impact employer brand on job satisfaction and knowledge employee retention.