Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploration of Binding Interaction of Steroidal Drugs with HMG-CoA Reductase for the Treatment of Breast Cancer Patients who suffer with Cardiovascular Problems: In-silico Studies

Introduction: HMG-CoA reductase is widely used as a significant target to screen cardiovascular therapeutics molecules because of its involvement in cholesterol synthesis and cell proliferation. Steroidal drugs like anastrozole, exemestane, letrozole have been tested as potential inhibitors of cancer mediated aromatase enzyme and these could be inhibited to HMG-CoA reductase so that the link with cholesterol synthesis and cell proliferation can be utilized to control cancers in. Objective: To test the binding affinity and binding patterns using computational methods of these drugs and established them as a HMG-CoA reductase inhibitor due to the involvement of this enzyme with cholesterol synthesis and cell proliferation can be utilized to control the cancers. Materials and methods: Freely available docking tools like AutoDock and web resources like DrugBank and PDB were used to extract data and conduct the study. Results: The binding interaction of exemestane has shown significant docking interactions which are followed by anastrozole and letrozole. Exemestane has shown binding energy -8.74 kcal/mol, hydrogen bond length: 1.97513 A, and interacting amino acid was analyzed as A: ASN658:HD21-: UNK1: O6. The positive control statin was used in this study has shown significant binding interaction but it was less than tested exemestane.Conclusion: Thus, exemestane can potentially inhibit to HMG-CoA reductase enzyme even stronger than the clinically tested drug statin and would be a good choice for cancer patients. Thus, in vitro laboratory experimentation and in vivo research are necessary to put forward therapeutic repositioning of these drugs so they could be established as a broad spectrum potential anticancer drugs including breast cancer especially for the patient with cardiovascular complications.
Performance analysis of NOMA in pedestrian and vehicular environments

The ability to serve many users with high-speed transmission has made 5G as the promising candidate for the future generation of the wireless communication system. LTE could no longer support future demand with its current transmission rates. Various multiple access schemes have been proposed for 5G and NOMA as one of the candidates. Thus, this study has analysed the performance of NOMA in comparison to OMA in pedestrian and vehicular environments. To assure the Quality of Service (QoS), the metric of throughput is evaluated. The simulation was done using The Vienna 5G Link Level Simulator (LLS) and the result shows that NOMA cell centred user performed 50% better than OMA. Meanwhile, OMA outperformed NOMA in terms of cell edge user by 56%. The finding is in line with the characteristics of NOMA and OMA where NOMA users have to be in pair and share the same subcarrier while OMA users have their dedicated subcarrier for transmission.
NILAI-NILAI PENDIDIKAN KARAKTER DALAM BUDAYA NENGAH NYAPPUR

Lampung indigenous people have valuable local wisdom that has the values of character education. The purpose of this research is to form a form of support to the government that continues to campaign for character education as an effort to restore the original character of the moral Indonesian nation and this study also aims to discover how the values of character education in the local wisdom of Lampung indigenous people namely Nengah Nyappur. This research uses descriptive-qualitative method to explore various data with library research. Nengah Nyappur as one of the elements of the philosophy of life of the people of Lampung has a character value in the form of tolerance, courtesy, and cooperation. These three character values are rooted in the daily lives of the indigenous people of Lampung. Referring to the presidential regulation of the Republic of Indonesia Number 87 of 2017 concerning Strengthening Character Education, Education Units and School/Madrasah Committees consider the adequacy of educators and education personnel, availability of facilities and infrastructure, local wisdom and opinions of community leaders and or religious leaders outside the School/Madrasah Committee. The third point about local wisdom feels the need for writers to review as one of the bases of character education, the writer offers local wisdom of Lampung. The findings of this study are that the values contained in Nengah Nyappur are still very relevant until now and can be applied in the family environment, community environment, and school environment.
Influence of malic acid marination on characteristics of connective tissue and textural properties of beef Semitendinosus muscle

ABSTRACT Semitendinosus muscle marinated in 0.5% acid showed a significant decrease in the shear force. To explore the possible reasons responsible for tenderness of acid-treated beef, the changes in intramuscular connective tissue (IMCT) were taken into consideration. The thicknesses of primary perimysium (PP) and secondary perimysium (SP) decreased to 19.86 and 34.99 μm, respectively. Denaturations of IMCT were exhibited by decreased onset (To) and peak (Tp) temperature, and by the increase in collagen heat solubility. A significant increase in intensity ratios between 3 and 24 h group (p < 0.05) meant that the dissociation of decorin (DCN) enhanced gradually along with marinating time. Meanwhile, limited transitions between 310-helix, anti aggregated strands, and turn were observed, especially a significant decrease (p < 0.05) in turn. The dissociation of DCN and the changes in second structures could partially contribute to the initial denaturation of collagen and reduce TO and TP, resulting in the decrease in shear force.
Regulation of Oikopleura dioica's alternative cell cycle modes

The eukaryotic cell cycle is one of the most studied biological processes. However, variations of the canonical cell cycle have been discovered and found to be more predominant than previously expected. Endoreplication and endocycling two such variants produce polyploid cells, conferring advantages in growth and genotoxic stress. Although some of the regulatory principles of these cycles are being discovered, little is known about how cells can transition from a mitotic cell cycle to them. Recently, it has been proposed that methylation of histone 3 lysine 79 (H3K79me) might have a function distinct from most histone modifications a timer for a cell’s age -, for methylation of all H3K79 states is performed in a distributive fashion (unlike all other methylated lysines in histones) by Dot1 and no demethylase is known. Functional studies on Dot1 have shown aberrant patterns of replication, linking it directly to a cell’s ability to regulate its cell cycle. This project aims to study the mechanisms of transition between different cell cycle modes in Oikopleura dioica a marine chordate employing endocycling extensively through its life cycle. We performed ChIP-seq on two antagonist transcription factors (E2F1 and E2F7) involved in the control of cell cycle progression that have been shown to have differential patterns of regulation in mitotic and endocycling cell cycle modes. Results reveal a high degree of spatial and temporal occupancy of both transcription factors in close proximity to transcription start sites, regulating genes with a function highly enriched for the control of replication and cell cycle. We set ourselves to perform an initial functional study of H3K79me in Oikopleura though Dot1 inhibition in developmental stages employing different cell cycle modes. This caused deregulation of proliferation patterns in different ways in the different cell cycle modes, highlighting a contribution of H3K79me to their regulation in Oikopleura.
A Crown Width-Diameter Model for Natural Even-Aged Black Pine Forest Management

Crown size estimations are of vital importance in forest management practice. This paper presents nonlinear models that were developed for crown width prediction of Black pine (Pinus nigra Arn.) natural, pure, even-aged stands in Olympus Mountain, central Greece. Using a number of measured characteristics at tree and plot level from 66 sample plots as independent variables, an attempt was made to predict crown width accurately, initially based on Least Square Analysis. At the second stage, nonlinear mixed effect modeling was performed in order to increase the fitting ability of the proposed models and to deal with the lack of between observations independence error assumption. Based on the same form, a generalized crown width model was developed by including six main regressors, such as the diameter at breast height, the total height, the canopy base height, the basal area, the relative spacing index and the diameter to quadratic mean diameter ratio, while at the final stage, the same model was expanded to mixed-effect. The proposed models were evaluated against independent crown width sample observations that were also obtained from the study area. The results showed that the two types of mixed-effect models performed equally well and, therefore, we propose those for use in forestry practice. Furthermore, the exact contribution of each inherent variable in crown width allometry was evaluated, thus providing a framework to facilitate field measurements for forest management predictions.
A Low Cost, Rapid Impedance Measurement Technique Suitable for Li-ion Health Diagnosis in Battery Energy Storage Systems

Battery energy storage is becoming a vital part of green energy systems. Prediction of the state of health of energy storage systems is difficult as it relies on a number of parameters. Pseudo Random Binary Sequence (PRBS) excitation of energy storage batteries has been shown to be a valid method of battery parameter identification for lead acid batteries [1]. The purpose of this work is to validate PRBS test data from a 3Ah LiFePO4 cell forming part of an EV battery-pack cell against Electrochemical Impedance Spectroscopy (EIS) data obtained from an industry-standard potentiostat (Solartron 1480). PRBS results are obtained in under 200 seconds on easily reproducible equipment which can be built into a green energy battery management system, while the EIS process takes over two hours on prohibitively expensive laboratory equipment. This work validates PRBS as a fast and portable method of obtaining the impedance spectrum of Lithium Ion cells, which can then be used to obtain information about SoH of the BESS.
Physical effect of cloud seeding revealed by NOAA satellite imagery

From 0615 to 0749 UTC, 14 March 2000, a precipitation enhancement operation with AgI using an aircraft was conducted at the middle part of Shaanxi Province, China. 80 min after cloud seeding (0735 UTC), NOAA-14 satellite data showed a vivid zigzag cloud track on the satellite image. Its length is 301 km, and its average and maximum width are 8.3 and 11 km. The cloud track is very similar in shape with, but different in position and width from that of cloud seeding line. In order to determine that the cloud track is indeed caused by cloud seeding, a three-dimensional numerical model of transport and diffusion of seeding material is used to simulate the shape of seeding material concentration distribution, the turning points, width and length of seeding line. The simulated results are compared with the features of cloud track at 0735 UTC. Every segment of the cloud track is consistent with the transport and diffusion of every segment of seeding line. The transport position, length, width and the variation trend of seeding line agree with those of cloud track. All suggest that the cloud track is the direct physical reflection of cloud seeding effect on the cloud top, which can respond to the transport and diffusion of seeding material. For this study case, the main effecting duration for every segment of seeding line is from 20 to 80 min, the time for each segment of seeding line diffusing to the maximum width is from about 50 to 70 min. This time is obtained from the appearing and disappearing time, width variation of the cloud track segments and simulated results. Also, the comparisons demonstrate that the numerical model of transport and diffusion can simulate the main characteristics of transport and diffusion of seeding material, and the simulating results are sound and trustworthy.
Determination of In vitro Anti-inflammatory Activity of Marine Microalgae: Nannochloropsis sp.

Objectives: To determine the in vitro anti-inflammatory activity of solvent extract of the marine microalgae, Nannochloropsis sp. Materials and methods: The preliminary assays for antiinflammatory activity such as protein denaturation inhibition and membrane stabilization were evaluated in the various solvent extracts (petroleum ether, aqueous, isopropanol, methanol, ethyl acetate) of the microalgae, Nannochloropsis sp. and in vitro antiinflammatory effect was determined in ethyl acetate extract against murine macrophage (RAW 264.7) cells. The compounds present in the extract were analyzed through GCMS. Results: The ethyl acetate extract exhibited good protection against protein denaturation at an inhibition rate of 72.66 ± 0.46% and provides significant membrane stabilization by inhibiting hemolysis by 92.02 ± 0.10 %. The in vitro anti-inflammatory activity was found to be dose dependent by inhibiting the inflammatory mediators such as COX (62.08 ± 0.035%), LOX (65.84 ± 0.19%) and also reduced production of the MPO (0.000797 ± 0.00003 IU/ml) and iNOS (90.44 ± 0.19%) thereby cellular nitrite level to 342.54 ± 0.49 μg/ml. The GCMS analysis for bioactive compounds showed a total of 16 compounds in which phenols and lipids are the major components. Application: The result suggests that the microalgae contain potential antiinflammatory compounds which can be explored in therapeutics against inflammation induced diseases.
Diversity and abundance of lepidopteran stem borers and their host plants in Ethiopia

Lepidopteran stem borers are among the most important insect pests of maize, sorghum and sugarcane in sub‐Saharan Africa. Except for Chilo partellus, the other stem borer pests in Ethiopia are indigenous to Africa and are assumed to have coevolved with some native grasses and sedges in the natural habitat. In addition to pest species, natural habitats harbour diverse non‐economic stem borer species, some of which are new to science. However, with the growing threats to natural habitats, some non‐economic stem borer species may switch or expand their host ranges to include cultivated crops and evolve as “new” pests. Besides host switch, some of the unknown species currently limited to natural habitats may disappear. We examined the diversity, abundance and interactions of lepidopteran stem borers and their wild host plants in five different vegetation mosaics in Ethiopia. The stem borer species diversity varied among vegetation mosaics and host plants. Forty‐four stem borer species belonging to 14 different genera in the families of Noctuidae, Crambidae, Pyralidae and Tortricidae were recorded from 34 wild host plants and through light trap. Among these families, Noctuidae was the highest in species richness in which 31 species were identified, out of which 15 species and two genera were new to science. This paper discusses the ecological interpretation of host plant–stem borer species interactions, particularly in relation to habitat disturbances.
Characterization of the whole plastid genome sequence of Abies chensiensis (Pinaceae), an endangered endemic conifer in China

Abstract Abies chensiensis Van Tiegh. (Pinaceae) is a rare and endangered endemic conifer in China. In this study, using the Illumina sequencing platform, we firstly characterized its whole plastid genome sequence. Our study revealed that A. chensiensis have a typical plastid genome of 121,498 bp in length, comprised of a large single copy region of 76,484 bp, a small single copy region of 42,654 bp and two inverted repeat regions of 1180 bp. A total of 113 genes, 74 protein-coding genes, 35 tRNA, and 4 rRNA genes were identified. The phylogenetic analysis indicated that A. chensiensis was placed as a sister to the congeneric A. sibirica.
Differential effects of TbSec24 isoforms on Golgi protein localization

Trotz intensiver Erforschung des Golgi Apparates konnte der genaue Mechanismus fur dessen Biogenese und Duplizierung sowie fur dessen Vererbung an die Tochterzellen noch nicht vollstandig entschlusselt werden. Bisherige Untersuchungen am einzelligen Parasiten Trypanosoma brucei haben ergeben, das in diesem Organismus die Komponenten des neuen Golgi sowohl vom bereits bestehenden Golgi, als auch von der neu gebildeten ER Austrittsstelle abstammen. Die einzelnen Golgi-Bestandteile lagern sich dabei geordnet an jener Stelle zusammen, an welcher der neue Golgi gebildet werden soll. Die vorliegende Arbeit soll weitere Aspekte der Synthese und Vererbung des Golgi Apparates in der prozyklischen Form von T. brucei aufzeigen. Im Speziellen wird hier untersucht, ob verschiedene Golgi-Komponenten selektiv fur ihren Transport zum Golgi ausgewahlt werden. Der Transport vom Endoplasmatischen Retikulum zum Golgi erfolgt mittels COPII Transportvesikel. Ein wesentlicher Bestandteil dieser Vesikel ist das Protein Sec24, von dem T. brucei zwei Isoformen, namlich TbSec24.1 und TbSec24.2, besitzt. In dieser Studie wird jeweils eine der beiden TbSec24 Isoformen mittels RNA-Interferenz ausgeschaltet. Es zeigt sich, das sowohl das Fehlen von TbSec24.1, als auch von TbSec24.2, zu einer verlangsamten Zellteilung, bis hin zu einem kompletten Arrest des Zellzyklus fuhrt. Dabei kommt es jedoch zu keinerlei Abnormitaten in Bezug auf die einzelnen Stadien des Zellzyklus. Mittels Immunfluoreszenz-Mikroskopie wird klar, das beide TbSec24 Isoformen einen selektiven Einflus auf die Rekrutierung der Golgi Proteine TbGRIP70, Tbe-COP und TbGRASP zum Golgi Komplex ausuben. Eine Abnahme von TbSec24.1 in der Zelle fuhrt dazu, das TbGRASP nicht mehr am Golgi Apparat detektiert werden kann. Umgekehrt jedoch zeigt eine verminderte Expression von TbSec24.2 keinerlei derartigen Auswirkungen. Die Untersuchung des Aufenthaltsortes der Golgi Marker TbGRIP70 und Tbe-COP ergibt keine Veranderung, weder nach beeintrachtigter Expression von TbSec24.1, noch von TbSec24.2. Eine Detektion von TbGRIP70 ist nach verminderter TbSec24.1 Expression allerdings nur noch an jenen Golgi Apparaten moglich, welche mit einer kurzlich entdecken ‚Bilobe‘-formigen Struktur assoziiert vorliegen. Zusatzlich zeigen wir noch die Reversibilitat samtlicher aufgetretener Phanotypen nach dem Abschalten der RNA-Interferenz.
A DATA-DRIVEN APPROACH FOR CREATIVE CONCEPT GENERATION AND EVALUATION

Abstract Conceptual design, as an early phase of the design process, is known to have the highest impact on determining the innovation level of design results. Although many tools exist to support designers in conceptual design, additional knowledge, especially knowledge related to emerging technologies, is still often needed. In this paper the authors aim to propose a data-driven creative concept generation and evaluation approach to support designers in incorporating emerging technologies in the new product early development stage. The approach is demonstrated by means of an illustrated example.
Effect of roasting on properties of walnuts

The objective of this study was to compare properties of walnuts roasted at different technological parameters. Effects of roasting temperature (100-180oC), the roasting time (5-30 min) as well as the type of heating medium (hot air or boiled vegetable oil) on sensory and physical characteristics were determined. Experiment was conducted according to Response Surface Methodology. Nuts were analyzed for moisture content, colour, texture parameters, FFA and PV and sensory attributes. It has been stated that properties of walnuts were dependent on temperature and time of roasting. As roasting temperature and time increased nuts moisture decreased. Nuts roasted in oil showed darker colour than the samples treated in hot air. The colour changed and was getting darker together with higher roasting temperature and longer roasting time. Nuts roasted in oil exhibited harder texture than those roasted in hot air. As roasting temperature and time increased nuts texture was more crispy and delicate, independently on type of roasting. Roasting influenced the quality of nuts oil fraction – in all analysed samples FFA content increased, however PV increased mainly in nuts roasted in oil. Samples roasted at 130-150oC for 15-20 min exhibited the best sensory properties in both methods. Nuts roasted at lower temperatures showed too hard texture, light colour and taste and flavour typical of fresh nuts. Nuts roasted at the highest temperatures and for longer time were too dark and exhibited burned taste and flavour.
Development of a Mushroom Growth Measurement System Applying Deep Learning for Image Recognition

In Taiwan, mushrooms are an agricultural product with high nutritional value and economic benefit. However, global warming and climate change have affected plant quality. As a result, technological greenhouses are replacing traditional tin houses as locations for mushroom planting. These greenhouses feature several complex parameters. If we can reduce the complexity such greenhouses and improve the efficiency of their production management using intelligent schemes, technological greenhouses could become the expert assistants of farmers. In this paper, the main goal of the developed system is to measure the mushroom size and to count the amount of mushrooms. According to the results of each measurement, the growth rate of the mushrooms can be estimated. The proposed system also records the data of the mushrooms and broadcasts them to the mobile phone of the farmer. This improves the effectiveness of the production management. The proposed system is based on the convolutional neural network of deep learning, which is used to localize the mushrooms in the image. A positioning correction method is also proposed to modify the localization result. The experiments show that the proposed system has a good performance concerning the image measurement of mushrooms.
A Human Target Infrared Image Segmentation Approach Based on Convolution Neural Network

In order to effectively segment the human target under complex background constraints, we present an infrared target segmentation method based on deep convolution neural network, and proposes the loss function based on the intersection-over-union for network optimization. Firstly, we design the network architecture which consists of a contracting path to capture the feature content and a symmetric expanding path that enables precise localization. And then rely on the powerful data amplification technology to effectively train the available sample data. The experimental results show that the network can make full use of the prior information of the data to study the characteristics of the human target, which can use less training data for end-to-end training in the human body target infrared image segmentation. And segmentation effect is superior to the traditional image segmentation algorithm. In addition, the network segmentation speed is very fast, 320 ×256 size image segmentation takes less than 0.2 seconds, to meet the human body target image segmentation of the effectiveness and real-time needs.