Miracle-dz/UniFAR-FTUs huggingface dataset:
Trap rebuilding by Myrmeleon brasiliensis larvae (Neuroptera: Myrmeleontidae) in response to flooding: the effect of body size

Introduction: Immature forms of the antlion Myrmeleon brasiliensis (Neuroptera, Myrmeleontidae) build traps in dry sandy soil to capture prey. Objective: The aim of the present study was to investigate how the waterlogging of the soil due to rain affects the trap rebuilding and relocation behavior of M. brasiliensis of different sizes. Methods: The study was conducted between July and December 2019. Larvae M. brasiliensis were observed and collected from a forest reserve in the municipality of Aquidauana in the state of Mato Grosso do Sul, Brazil. Results: In the natural environment, most larvae rebuilt their traps in the same location seven days after the simulation of rain, with a smaller diameter than that observed prior to the simulation of rain. In the laboratory, the movements of M. brasiliensis larvae and rebuilding of the traps after the waterlogging of the soil was affected by body size. Larger larvae moved more and were more likely to rebuild their traps. Conclusions: The saturation of the soil affects the foraging of M. brasiliensis larvae, which are impeded from rebuilding their traps for a period. In situations of long periods of saturated soil, the mortality rate of the larvae is high and rebuilding of the traps occurs after the soil dries out, but with a smaller trap size. These data suggest that changes in the rainfall pattern can affect the population structure of M. brasiliensis larvae, with the selection of larger individuals in situations of more severe rains. In this process, the smaller larvae are more affected, as their foraging is impeded.
O-GlcNAcylation of Blimp-1 in lymphocytes inhibits its transcriptional function and is associated with migration and invasion of breast cancer cells.

Lymphocyte infiltration is an important feature of cancer. There is a complex network of chemokines that influence the degree and phenotype of lymphocyte infiltration, as well as the growth, survival, migration and angiogenesis of tumor cells. High heterogeneity metastasis is a major obstacle to the treatment of breast cancer. Herein, we showed that O-GlcNAcylation of B lymphocyte-induced maturation protein-1 (Blimp-1) in lymphocytes inhibited the migration and invasion of breast cancer cells. It was found that Blimp-1 O-GlcNAcylation at Ser448 and Ser472 in lymphocytes promoted its nuclear localization, and blocked the bindings to three regions upstream of the ccl3l1 promoter to inhibit its expression. Decreased expression of CCL3L1 in lymphocytes not only decreased CCR5 expression in breast cancer cells, but also inhibited the membrane localization and activation of CCR5, thus blocking the migration and invasion of breast cancer cells in vitro. Therefore, O-GlcNAcylation of Blimp-1 in lymphocytes may serve as a new target for the treatment of metastatic breast cancer. Implications: This study reveals a new mechanism by which the lymphatic system promotes breast cancer cell metastasis.
COMPARISON OF SELECTED PHYSICAL FITNESS VARIABLES AMONG BASKETBALL PLAYERS OF DIFFERENT PLAYING POSIT IONS

The purpose of this study was to examine physical famong male basketball players in relation to different playing positions i.e. guards, centers an d forwards. A sample of forty five (N = 45) male basketball players (mean ± SD: age 20.56 ± 1.79 yea rs, height 1.83 ± 4.35 m, weight 77.24 ± 5.08 kg, BMI 22.92 ± 1.25), which includes fifteen each guar ds, centers and forwards, who participated in inter - college competitions of Guru Nanak Dev University, Amritsar, India, was selected. All the participants were informed about aim and methodology of the stud y and they volunteered to participate in this study . The study was conducted on selected physical fitnes s variables i.e. power, speed, agility and co- ordination. One way Analysis of Variance (ANOVA) wa s applied to find out the significance of differences with regard to selected physical fitnes s variables among basketball players of different playing positions. Scheffe's post-hoc test (SPHT) w as applied to see the direction and significance of differences where 'F' value found statistically sig nificant. The level of significance was set at 0.05 . While comparing the means, it is revealed that centers ha d better power and speed than their counterparts; guards and forwards. It is also observed that forwa rds had better agility than their counterparts; gua rds and centers. However, guards showed better co-ordin ation than centers and forwards. Further, significant differences were found between basketba ll players of different playing positions with rega rd to power (p ˂ 0.05), speed (p ˂ 0.05), agility (p ˂ 0.05) and co-ordination (p ˂ 0.05) respectively.
A Phlorotanin, 6,6′‐bieckol from Ecklonia cava, Against Photoaging by Inhibiting MMP‐1, ‐3 and ‐9 Expression on UVB‐induced HaCaT Keratinocytes

Skin is the outmost layer of human and sustains most of the external UVB irradiation, which possibly causes the skin photoaging. As a natural antioxidant, marine natural products have been paid more and more attention to their positive effects on photoaging. 6,6′‐bieckol is a phlorotanin isolated from Ecklonia cava, while its antiphotoaging bioactivity and mechanism have not been clear yet. This study proves that 6,6′‐bieckol enhances cells viability and decreases the level of ROS in UVB‐induced human immortalized keratinocytes (HaCaT) cells. It also resulted in significant downregulation of matrix metalloproteinases (MMPs), p‐c‐Fos, phosphorylated JNK, p38, IκB and p65. In addition, molecular docking also showed that 6,6′‐bieckol could bind to MMP‐1, MMP‐3 and MMP‐9. Finally, it was proved that 6,6′‐bieckol acts on MMPs through the MAPK/AP‐1 and NF‐κB pathways to reduce UVB‐induced oxidative stress damage in HaCaT cells. Therefore, 6,6′‐bieckol is a functional food and skin care ingredient with great potential in preventing photoaging.
Juggler System: Hybrid Model and Implementation

Several juggling systems have been developed in order to control the dynamics of a bouncing element. This system is useful to show the behavior of elements due to impacts, as well as to have control of the trajectory followed by them based on physical principles. In this article, the description of the physical implementation of a juggler system is presented, including its movement control to achieve a specific objective. A hybrid model to analyze and predict the behavior of both the platform and the ball is studied and implemented. Finally, a multi-agent implementation is proposed to synchronize its movements and show how a group of oscillating systems are able to reach a common work point.Copyright © 2015 by ASME
Coupled Layerwise Analysis of Composite Beams with Embedded Piezoelectric Sensors and Actuators

Unified mechanics are developed with the capability to model both sensory and active composite laminates with embedded piezoelectric layers. Two discretelayer (or layerwise) formulations enable analysis of both global and local electromechanical response. The first assumes constant through-the-thickness displacement, while the second permits piecewise continuous variation. The mechanics include the contributions from elastic, piezoelectric and dielectric components. The incorporation of electric potential into the state variables permits representation of general electromechanical boundary conditions. Approximate finite element solutions for the static and freevibration analysis of beams are presented. Applications on composite beams demonstrate the capability to represent either sensory or active structures, and to model the complicated stressstrain fields, the interactions between passive/active layers and interfacial phenomena between sensors and composite plies. The capability to predict the dynamic characteristics under various electrical boundary conditions is demonstrated. Some advantages of the variable transverse displacement formulation on the freevibration response of sensory structures are also shown.
Circular fringe center location based on local gradient direction estimation

A method based on the local gradient direction information is proposed to locate the center of circular fringe. The new method is developed which based on the idea that the normal directions of any point on the circular fringe are always pointing towards the center. Besides, the local gradient direction of fringe is related to the normal line of fringe. We deduce theoretically the principle of local gradient direction estimation. Then a new circular fringe center location algorithm is developed with the help of digital image processing technology and statistical ideas. The simulation results show that new method can locate accurately the center of different types of circular fringes with less or without filtering. It also holds good robustness and can meet the requirements of actual engineering application.
The SlHB8 Acts as a Negative Regulator in Stem Development and Lignin Biosynthesis

The stem is an important organ in supporting plant body, transporting nutrients and communicating signals for plant growing. However, studies on the regulation of stem development in tomato are rather limited. In our study, we demonstrated that SlHB8 negatively regulated tomato stem development. SlHB8 belongs to homeo domain-leucine zipper Class III gene family transcription factors and expressed in all the organs examined including root, stem, leaves, flower, and fruit. Among these tissues, SlHB8 showed stable high expression level during tomato stem development. Overexpression of SlHB8 gene decreased stem diameter with inhibited xylem width and xylem cell layers, while loss of function of SlHB8 gene increased the stem diameter and xylem width. The contents of lignin were decreased both in leaves and stems of SlHB8 overexpression plants. RNA-seq analysis on the stems of wild type and SlHB8 transgenic plants showed that the 116 DEGs (differential expressed genes) with reversible expression profiles in SlHB8-ox and SlHB8-cr plants were significantly enriched in the phenylpropanoid biosynthesis pathway and plant-pathogen pathway which were related to lignin biosynthesis and disease resistance. Meanwhile, the key genes involved in the lignin biosynthesis pathway such as SlCCR (cinnamoyl-CoA reductase), SlCYP73A14/C4H (cinnamate 4-hydroxylase), SlC3H (coumarate 3-hydroxylase) and SlCAD (cinnamoyl alcohol dehydrogenase) were down-regulated in both stem and leaves of SlHB8 overexpression plants, indicating a negative regulatory role of SlHB8 in the lignin biosynthesis and stem development.
District-level forecast of northeast monsoon rainfall over Tamilnadu using Indian Ocean dipole mode index

The northeast monsoon season (October-December) contributes a substantial percentage of annual rainfall over Tamilnadu. The present paper describes a method for prediction of northeast monsoon rainfall (NEMR) over Tamilnadu on smaller spatial scale, i.e., district-level with sufficient lead time. Tamilnadu has been divided into ten homogeneous clusters of districts and the predictions are made for each cluster with lead times of two and one months using Indian Ocean dipole mode (IODM) index. A stronger western pole of IODM during August-September is associated with enhanced northeast monsoon activity over most of the districts of Tamilnadu. The predictions on the basis of regressions developed from NEMR and IODM index data have been validated for six years from 1997-2002. For many districts the mean errors between actual (realized) and predicted rainfall are within ±10%. Hence, using IODM index, it is possible to predict the NEMR activity over most of the districts of Tamilnadu with a lead time of two months, with only exception of NEMR over Kanyakumari which is not significantly correlated to IODM phenomenon.
New farming systems for sugarcane production.

Mechanisation of the Australian industry has contributed to its high efficiency but has also led to farming practices that optimise neither crop production nor the use of machinery. The current system contributes significantly to increasing soil compaction, declining soil health, poor weed control plus crop loss and stool damage during the harvestlhaulout operation. It is time to redress these deficiencies by developing new farming systems. Recent research has shown that narrow row spacings significantly increase yields and can therefore provide the economic engine to drive the adoption of best practices in improved farming systems. A sequence of systems based on dual, triple and quadruple row spacings is proposed. These systems overcome the constraints of light and water interception, soil compaction and soil health, weed control, and water use efficiency, and avoid crop loss and stool damage during harvest. The two closer row spacings cannot be managed with current machinery; they require modifications to existing equipment or new multi-row equipment designed to suit the system. Consequently, evaluation and implementation of the new systems will involve the establishment of model farms by large growers and/or progressive plantings by cooperatives or groups of smaller growers to rationalise the cost and use of narrow row equipment.
Design of Ground‐Water Monitoring Networks Using the Monitoring Efficiency Model (MEMO)

An analytical Monitoring Efficiency Model (MEMO) has been developed to assist in the design of monitoring well networks. The method simulates the migration of hypothetical contaminant plumes from a site and quantifies the efficiency of alternative well network designs in detecting the plumes. The computed detection efficiency provides a basis for optimizing the design. Maps of the site showing areas from which releases would or would not be detected by a given well network are produced, providing insight into the benefits of adding, deleting, or moving specific wells.
Bullied after Blowing the Whistle: An Integrative Literature Review

Whistle-blowing and bullying at work appear widely in research literature in a variety of disciplines. This paper intends to give directions for future researchers by connecting the two academic fields of whistle-blowing and bullying at work together. This article also discusses bullying at work as a repercussion of whistle-blowing from a Sri Lankan legal perspective. The paper ex-plains empirical research on the connection between whistle-blowing and bullying at work, and elaborates the extent to which Sri Lankan legal system could be utilized to protect those from getting bullied for blowing the whistle. Empirical research has documented the link between whistle-blowing and bullying at work. However, the review also found that a concise definition for whistle-blowing and bullying at work place was not available in the literature. Also, from a legal perspective while the existing legal regime in Sri Lanka may offer some form of protection for the whistle-blowers under the Witnesses protection scheme, it is insufficient to protect whistle-blowers from bullying at workplace. Implications for practice are as follows: first, to provide clear examples of organizational wrongdoing which considered under whis-tle-blowing and second, to strengthen existing legal framework in Sri Lanka which can be utilized to safeguard the whistle-blowers from possible retaliation of bulling at work. Future studies on bullying at work are encouraged to be aware of the link to potential previous whistle-blowing. This paper provides valuable information for researchers and practitioners in the field of workplace behavior in general and in the field of management and legal in particular.
Repowering Potential of Wind Farm in India

This document represent the powering potential need of wind farm in the Indian power sector. This is done by creating the repowering potential analysis for small and big size of the wind farm generator. The analysis was done based on the key factor associated with feed-in-tariff and also the regulation of Indian. The need of new policy is required for making the repowering easy and makes the growth in the prompt rate with the world power market. The policy regulation and law has to be made by the Indian government to support the wind farm generator and attract the developer in this area.
Big data based analytic model to predict and classify breast cancer using improved fractional rough fuzzy K‐means clustering and labeled ensemble classifier algorithm

Breast cancer is a very dangerous disease that mainly affects women. It is a deadliest disease that highly affects the women's life. Therefore, it is necessary to predict and classify this deadly disease for early diagnosis. There exist numerous data mining techniques for early prediction and classification of this disease. The big data based analytical model provides the better solution for storing, manipulating, and analyzing a great number of mammographic images. In this article, a new improved fractional rough fuzzy K‐means clustering strategy is considered for disease prediction. Then, a new Tunicate Swarm Algorithm (TSA) is introduced to optimize the weight parameters. TSA is a bio‐inspired metaheuristic optimization approach. Finally, the labeled ensemble classifier (LEC) is utilized for classifying the stages of breast cancer as malignant and benign. Here, the data is randomly generated from breast cancer Wisconsin dataset (diagnosis) obtainable on UCI machine learning repository. The proposed strategy is compared with different existing strategies, like Logistic Regression Classifier, Random Forest Classifier. From the analysis, it is observed that the proposed big data based analytical model using LEC provides 99.3% accuracy that is very high when compared to the accuracy of existing approaches.
CellSys: An open‐source tool for building initial structures for bio‐membranes and drug‐delivery systems

Since phospholipids are the most important components in the structure of biomembranes, they deserve to be considered with a lot of attention in both experimental and computational theoretical studies using molecular simulation methods related to the research in the fields of drug design and drug delivery where they involve knowledge about the interactions of drug molecules with cell membranes. To employ the molecular simulation approach for this purpose the essential requirement is having information about the initial structure of phospholipids and how they interact with the drugs. Therefore in this article, we introduce an open‐source software package in Python programming language for utilizing data manipulation for generation and developing the initial structure of biomolecular cells to provide the needed information for investigation in drug delivery systems. In addition, the proposed software package can be used for the efficient storage of membrane structural data to be exploited in designing new drug delivery systems. To verify the performance of the code and the results of the simulations, several analyses have been done, such as the calculation of area per lipid and self‐diffusion coefficient, in addition to lipid order parameter. The results were in complete agreement with the references.
Antibacterial Activity and Identification of Active Compounds of Seaweed Extract Sargassum sp., Halimeda opuntia and Halymenia sp. from Lae-Lae Island of South Sulawesi

— In addition to containing primary metabolites, seaweed also contains secondary metabolites in the form of active compounds that function as antimicrobial and anticancer. Some species of seaweed include brown seaweed from the genus of Sargassum, green seaweed from the genus of Halimeda and red seaweed from the genus of Halymenia. The waters around Makassar City found species of Sargassum sp. , Halimeda opuntia and Halymenia sp. , which is abundant especially on Lae-Lae Island, but studies on its potential bioactivity are still very limited. This research aims to determine the bioactivity and identification of the active compound groups of the extracts of Sargassum sp. , Halimeda opuntia and Halymenia sp. The research was carried out in December – April 2021. Samples were extracted using the meseration method. Antibacterial activity test used agar diffusion method and phytochemical test used Thin Layer Chromatography (TLC). The yield of methanol extract and seaweed hexane of Sargassum sp. respectively 2.4 and 2.3% and Halimeda opuntia of 0.53 and 1.15% and Halymenia sp. of 2.42 and 0.89%. The six seaweed extracts had no activity against E. coli bacteria. Hexane extract of Sargassum sp. had the highest activity against the bacteria of S. typhi with an average diameter of 25.67 mm and the highest level against the bacteria of A. hydrophila with an average diameter of 18.2 mm with methanol as solvent. The same activity was shown by methanol extracts of Sargassum sp. and Halymenia sp. against the bacteria of V. harveyi with an average zone diameter of 18.04 mm. However, only the methanol extract of Halimeda opuntia had activity against the bacteria of P. aeruginosa with an average diameter of 8.63 mm. An important finding that was found from the results of this research was the extract of Sargassum sp. showed the highest activity against S. typhi, A. hydrophila and V. harveyi with a higher diameter inhibition zone than the commercial antibiotic activity of ciprofloxacin as a positive comparison. This shows that the extract of Sargassum sp. has a great potential as a source of new antibiotics, especially against S. typhi. The extracts of methanol and hexane of Halimeda opuntia and methanol of Sargassum sp. contains 5 active compounds namely, alkaloids, flavonoids, tannins, triterpenonids and saponins. While the seaweed hexane extracts of Sargassum sp. , only contains 3 active compounds namely, alkaloids, tannins and saponins. The methanol extracts of Halimeda opuntia contains 4 active compounds namely, flavonoids, tannins, triterpenonids and saponins, while the hexane extracts contain alkalaoids, flavonoids, tannins and saponins.
Activity-based framework for cost savings through the implementation of an ERP system

Although enterprise resource planning (ERP) has been widely adopted since its first appearance in the early 1990s, there is a lack of research regarding ERP investment justification and performance evaluation. In this paper, based on an activity-based costing (ABC) analysis, we propose a framework to quantify the cost savings that the implementation of an ERP system should achieve in order to make the investment justifiable. Exploiting the ability of ABC to trace costs to activities and products, ERP resource costs and activities are identified and the cost structure of products is analysed. It is also shown that the ABC approach can enhance the visibility of business processes with various activities and cost drivers and provide information about actions to be taken to raise profits by cost savings or increased revenues. Finally, a numerical example is used to demonstrate how an ERP system is utilized on activities and how it affects the cost of products. An extensive analysis follows to address how the results can be used to direct process improvement toward corporate goals.
Business model performance Reflections from three studies of mobile data services

The main research problem raised in this paper is whether strategic choices in the business model of mobile service providers have performance implications for mobile data services. The research model applied is based on the proposition that structural market conditions constrain the decision options under which the service providers can design their service offerings that ultimately provide values to end-users. This chain of causality is explored via three separate empirical studies of mobile data services in Norway. A final discussion on the research framework used and the main industry and research implications are included. The paper identifies paths of influence from business model decisions through service attributes to perceived customer value. Particular attention should be paid to the mobile specificity of the service providers´ value propositions in order to gain customer value. Another important conclusion is that the influence of business model choices is service category dependent.