Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of the epidermis enhancer element in positive and negative transcriptional regulation of ebony in Drosophila melanogaster

Abstract The spatiotemporal regulation of gene expression is essential to ensure robust phenotypic outcomes. Pigmentation patterns in Drosophila are determined by pigments biosynthesized in the developing epidermis and the cis-regulatory elements of the genes involved in this process are well-characterized. Here, we report that the known primary epidermal enhancer is dispensable for the transcriptional activation of ebony (involved in light-colored pigment synthesis) in the developing epidermis of Drosophila melanogaster. The evidence was obtained by introducing an approximately 1 kbp deletion at the primary epidermal enhancer by genome editing. The effect of the primary epidermal enhancer deletion on pigmentation and on the endogenous expression pattern of a mCherry-fused ebony allele was examined in the abdomen. The expression levels of the mCherry-fused ebony in the primary epidermal enhancer-deleted strains were slightly higher than that of the control strain, indicating that the sequences outside the primary epidermal enhancer have an ability to drive an expression of this gene in the epidermis. Interestingly, the primary epidermal enhancer deletion resulted in a derepression of this gene in the dorsal midline of the abdominal tergites, where dark pigmentation is present in the wild-type individuals. This indicated that the primary epidermal enhancer fragment contains a silencer. Furthermore, the endogenous expression pattern of ebony in the 2 additional strains with partially deleted primary epidermal enhancer revealed that the silencer resides within a 351-bp fragment in the 5' portion of the primary epidermal enhancer. These results demonstrated that deletion assays combined with reporter assays are highly effective in detecting the presence of positively and negatively regulating sequences within and outside the focal cis-regulatory elements.
High-Mobility Group AT-Hook 1 Served as a Prognosis Biomarker and Associated with Immune Infiltrate in Hepatocellular Carcinoma

Background The protein high-mobility group AT-hook 1 (HMGA1) has been demonstrated that modulated cellular proliferation, invasion, and apoptosis with a poor prognosis in miscellaneous carcinomas. However, the mechanism of circumstantial carcinogenesis and association with the immune microenvironment of HMGA1 in hepatocellular carcinoma (HCC) had not been extensively explored. Methods The gene expression, clinicopathological correlation, and prognosis analysis were performed in the data obtained from TCGA. The results were further validated by ICGC and GEO database and external validation cohort from Guangxi. The HMGA1 protein expression was further examined in the HPA database. Biological function analyses were conducted by GSEA, STRING database, and Coexpedia online tool. Using TIMER and CIBERSORT method, the relationship between immune infiltrate and HMGA1 was investigated. Results In HCC, HMGA1 had much higher transcriptional and proteomic expression than in corresponding paraneoplastic tissue. Patients with high HMGA1 expression had a poor prognosis and unpromising clinicopathological features. High HMGA1 expression was closely related to the cell cycle, tumorigenesis, substance metabolism, and immune processes by regulating complex signaling pathways. Notably, HMGA1 may be associated with TP53 mutational carcinogenesis. Moreover, increased HMGA1 expression may lead to an increase in immune infiltration and a decrease in tumor purity in HCC. CIBERSORT analysis elucidated that the amount of B cell naive, B cell memory, T cells gamma delta, macrophages M2, and mast cell resting decreased when HMGA1 expression was high, whereas T cells follicular helper, macrophages M0, and Dendritic cells resting increased. Conclusion In conclusions, HMGA1 is a potent prognostic biomarker and a sign of immune infiltration in HCC, which may be a potential immunotherapy target for HCC.
Non‐random distribution of ungulate salt licks relative to distance from North American oceanic margins

Terrestrial deposition of aerosol marine sodium declines with distance from coastlines. Salt deprivation in vertebrate herbivores and salt‐seeking behaviours should hence increase with distance inland. We analyse published geospatial data on ungulate‐patronized salt licks to test whether they are non‐randomly distributed relative to distance from oceans and elevation.
Impact of Soil Moisture on Afternoon Convection Triggering Over the Tibetan Plateau Based on 1‐D Boundary Layer Model

The impact of soil moisture conditions on the triggering of afternoon convection over the Tibetan Plateau (TP) was investigated by applying the convective triggering potential (CTP) and humidity index framework developed by Findell and Eltahir (2003a, https://doi.org/10.1175/1525-7541(2003)004<0552:acosml>2.0. co;2, 2003b, https://doi.org/10.1175/1525-7541(2003)004<0570:acosml>2.0. co;2) using a slab model. Atmospheric sounding observations from May to September from 2015 to 2019 from 16 sites were used for the diagnosis. The results showed that the thresholds of CTP and humidity index in the lower‐layer atmosphere (HIlow) are distinct from other regions such as the United States and India, suggesting an easier triggering potential for the TP due to its high altitude induced lower air density and higher buoyancy. The convection over the TP is mainly affected by the atmospheric background. The percentages of soil moisture‐controlled cases is close to 50% mainly located in the broadly central TP. In addition, the positive feedback is mainly located in the center of the TP. Negative feedback appears in the southwest of the TP. Soil moisture is the most critical factor for precipitation triggering in soil moisture‐precipitation feedback, while wind speed can also have certain influences. The impact of soil moisture on different outcomes has no significant correlation with land surface elevation differences. Negative feedback in the southwest of the TP appeals to a necessary enhancement requirement for sounding observations in the western TP.
Presbycusis and the Aging of Eye Movement: Common Attention Mechanisms

Presbycusis, physiological age-related hearing loss, is a major health problem because it is the most common cause of hearing impairment, and its impact will grow in the coming years with the aging population. Besides auditory consequences, the literature recently found an association between hearing loss and cognitive decline over the last two decades, emphasizing the importance of the early detection of presbycusis. However, the current hearing tests are not sufficient to detect presbycusis in some cases. Furthermore, the underlying mechanisms of this association are still under discussion, calling for a new field of research on that topic. In that context, this study investigates for the first time the interaction between presbycusis, eye movement latency and Stroop scores for a normal aging population. Hearing abilities, eye movement latency and the Stroop Victoria test were measured for 69 elderly (mean 66.7 ± 8.4) and 30 young (mean 25.3 ± 2.7) participants. The results indicated a significant relationship between saccade latency and speech audiometry in the silence score, independently from age. These promising results suggest common attentional mechanisms between speech processing and saccade latency. The results are discussed regarding the relationship between hearing and cognition, and regarding the perspective of expanding new tools for presbycusis diagnosis.
Metagenomic Profiles of the Intestinal Virome of Long-Livers

The microbial community of the human intestine is important for maintaining human health. It has been reported that the gut microbiome changes with age, and it can be enrichedwith certain beneficial bacteria while also losing certain commensal bacteria.Little is known about the gut virome of long-livers. Our research aimed to extract, sequence and analyze the viral fraction of long-livers’ gut microbiota in comparison with those of young adults and the elderly. We were thereby able to characterize the gut virome profiles and viral diversity of three age groups. Keywords: aging, gut microbiome, viral metagenomics, bacteriophages
BIO-MEDICAL MINING AND SUMMARIZATION USING KEA-MEANS AND LEXICAL ANALYSIS

: Medical Documents are of crucial importance for all. And the documents related to medical analysis are too lengthy and if these documents get summarized then easy going analysis can be done. If the medical reports can be summarized it will save a lot of time of the doctor so it will also help doctor to see more number of patients. Summarizing the documents also involves the gathering the related lines and portion of the document, for which we have taken the concept of the Kea-Means for the clustering of the medical documents. We have used the concept of the WordNet Library to hold as the major dictionary for us for validating the words in the documents and using the concept of the lexical chains we have formulated the summary after evaluating the significance and the utility of the lexical chains. And for validating the creditability of the summary of the medical documents generated we have compared it with manually summarized medical documents to calculate the matching percentage known as recall.
FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline

Streamflow prediction from meteorological observations provides the basic information for the management of water resources systems. The amount and magnitude of streamflow has long term consequences on human lives and the environment. Various approaches have been proposed to simulate streamflow records, ranging from physically based models to conceptual and fully data-driven models. However, the quality of streamflow prediction can be more reliable with intelligence-based data-driven models that handle nonlinear hydrological processes. We propose FlowDyn, a dynamic web based streamflow prediction pipeline to intelligently simulate and forecast global streamflow time series data. In this research a number of data driven deep learning (DL) models including multi-layer perception (MLP), long short-term memory (LSTM) and a hybrid network of convolutional neural network and LSTM (CNN-LSTM) have been implemented as a pipeline to analyze and forecast sequential streamflow values that are embedded within a web-based application for visualization. To improve the quality of streamflow forecast a set of climate and flow influencing factors were obtained from weather stations belonging to different countries across the globe. This study has focused on the effects of input data characteristics on model performance; therefore, the amount of input data and data correlation have been considered. Datasets are gathered from different databases including CAMELS [1], [2], NCDC and GRDC. To impute the missing values and pre-process the available data, several methods have been used and a reliable dataset was generated for models in the pipeline to run prediction tasks on. The developed prediction models were validated and tested using NSE (Nash–Sutcliffe efficiency), KGE (Kling-Gupta efficiency), Normalized Mutual Information (NMI), and Root Mean Squared Error (RMSE) indices. A JavaScript (JS) based web application was provided with the pipeline for users to view flow prediction and variabilities over any station at any watershed system and region. Through the findings of this paper, we advocate the merit of applying data-driven neural models in the field of rainfall-runoff prediction and prove it with global hydrological and weather data.
Molecular phylogeny and taxonomy of the Hydrangeaserrata complex (Hydrangeaceae) in western Japan, including a new subspecies of H.acuminata from Yakushima

﻿Abstract According to the contemporary classification of Hydrangea native to Japan, H.serrata is a polymorphic species including six varieties. We discovered a plant identified as H.serrata, but morphologically distinct from previously known varieties, in Yakushima island where approximately 50 endemic species are known. To determine the relationship of this plant with previously known varieties, we examined morphology and constructed a highly resolved phylogeny of H.serrata and its relatives using three chloroplast genomic regions, rbcL, trnL intron, psbA-trnH, and two nuclear genomic regions, ITS1 and ITS2, and Multiplex ISSR genotyping by sequencing (MIG-seq). Based on these morphological and phylogenetic observations, we describe Hydrangeaacuminatasubsp.yakushimensissubsp. nov. as a newly discovered lineage in Yakushima, Japan and propose Hydrangeaminamitaniistat. nov. and Hydrangeaacuminatasubsp.australisstat. nov. which were previously treated as varieties of H.serrata.
SURVEY ON VM SCHEDULING ALGORITHMS FOR CLOUD DATA CENTERS

: Now a day’s Cloud Computing is rapidly increase technology, moving of more and more applications on cloud and demand of clients for more services and better results, load balancing in Cloud has become a very interesting and important research area. The primary aim of Cloud Computing is to provide efficient access to remote and geographically distributed resources with the help of Virtualization in Infrastructure as a Service (IaaS). In cloud computing, multiple computers are allowed to run as virtual machines in a single physical computer is called virtual machine scheduling. For virtual machine scheduling Large amount of requests are scheduled by cloud providers, so cloud provider require an efficient scheduling algorithm for VM scheduling. In this paper, we has been discusses different type of algorithm s for VM scheduling.
Electromyographic Determination of Jump Landing Sequence and Pre-activation Times During One-foot Landing

Introduction: Monopodal jumping is a common gesture in daily life and sports. In the Landing Phase (LF), potential energy is absorbed from the tridimensional stability of the Lower Limb (LH). This stability depends on neuromuscular strategies that include factors such as Muscle Preactivation Times (MAT) and the Sequence of Participation (SP) of the muscle groups. The alteration of TPA has been pointed out as a factor of possible injury. The aim of this study was to determine the preactivation times and participation sequence of the gluteus medius, adductor magnus, rectus femoris, vastus medialis quadriceps, biceps femoris longus, semimembranosus and soleus muscles during the monopodal jump landing in university students. At the same time, we sought to determine the existence or not of significant differences between men and women. Materials and methods: Twenty-six young adults, 16 women and 10 men, participated. An inertial sensor and 7 surface electrodes were used to collect electromyographic data in the gluteus medius, rectus femoris and vastus medialis quadriceps, semimembranosus, biceps femoris long head, soleus and adductor magnus muscles. Results: The general activation sequence was Vastus medialis -Biceps femoris longus Adductor magnus Gluteus medius Rectus femoris -Semimembranosus and soleus. The data obtained reflects the activation prior to ground contact of all the muscles studied. There were differences between genders. Women presented a previous activation in all muscles with the exception of the gluteus medius. The muscles with the greatest variability were the adductor magnus in men and the rectus femoris in women. Conclusion: The significant differences found between men and women show that there are trends that can be the beginning to better understand the risk factors for injury generation. The TPA data presented a great variability which could reflect the existence of different activation patterns and not a unique behavior of the MMII musculature. Citation: Gabriel W, Lucila DV, Manuel CJ, Franco T (2021) Electromyographic Determination of Jump Landing Sequence and Pre-activation Times During One-foot Landing. J Orthop Res Physiother 7: 057.
Ameliorating the Effect of Mycotoxins in Poultry Feeds Using Plant Extracts

Mycotoxins are toxic secondary metabolites of fungal origin that tends to contaminate agricultural commodities before or under post-harvest conditions. They are mainly produced by fungi in the genera, Aspergillus sp. (Aspergillaceae: Eurotiales), Penicillium sp. (Trichocomaceae; Eurotiales) and Fusarium sp. (Nectriaceae: Hypocreales). When ingested, inhaled or absorbed through the skin, mycotoxins causes sickness or death in humans and animals. Natural substances that can prevent AFB1 toxicity to human and animal health with minimal cost will be a great advantage. Traditional medicinal plants are currently used for their antifungal, anti-aflatoxigenic and antioxidant activity. Aspergillus parasiticus strain NRRL 2999 was used to produce Aflatoxin, as it is one of the highly toxigenic fungus available. Inhibitory activity of ethanol extracts of plants was enhanced upon gradual increase in their concentrations. Among them, the ethanol extracts of Trachyspermum ammi (Apiaceae: Apiales) completely arrested the fungal growth and inhibited the growth significantly, even at lower concentrations (1%) in comparison with other extracts and the negative control. Hence, the present work has been carried out to find the aflatoxin antifungal activity of the plant extracts Albizia lebbeck (Fabaceae: Fabales), Syzgium aromaticum (Myrtaceae: Myrtales) and Trachyspermum ammi (Apiaceae: Apiales) against aflatoxin contaminated poultry feed. In conclusion, the present study serves as a base and arises a futuristic need for efficient cost effective sampling and analytical methods that can be used for detection and control of mycotoxins in poultry feed. Original Research Article Varalakshmi et al.; JPRI, 33(59A): 334-348, 2021; Article no.JPRI. 79804 335
MULTIPATH ROUTING IN WIRELESS SENSOR NETWORKS: A SURVEY AND ENERGY CONSUMPTION ANALYSIS

: A Wireless Sensor Network (WSN) is group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. Wireless sensor networks are deployed in an unattended environment in which energy replenishment is very difficult. Due to the restricted communication range and high density of sensor nodes, packet forwarding in sensor networks is usually performed through multi-hop data transmission. Therefore, routing in wireless sensor networks has been considered an important field of research over the past decade. Nowadays, multipath routing approach is widely used in wireless sensor networks to improve network performance through efficient utilization of available network resources. Accordingly, the main aim of this survey is to present the concept of the multipath routing approach and its fundamental challenges, as well as the basic motivations for utilizing this technique in wireless sensor networks. In addition to this, an energy consumption analysis of various multipath routing protocols is performed.
High 3 He/ 4 He in central Panama reveals a distal connection to the Gal (cid:1) apagos plume

It is well established that mantle plumes are the main conduits for upwelling geochemically enriched material from Earth's deep inte-rior. The fashion and extent to which lateral ﬂ ow processes at shallow depths may disperse enriched mantle material far ( > 1,000 km) from vertical plume conduits, however, remain poorly constrained. Here, we report He and C isotope data from 65 hydrothermal ﬂ uids from the southern Central America Margin (CAM) which reveal strikingly high 3 He/ 4 He (up to 8.9R A ) in low-temperature ( ≤ 50 ° C) geothermal springs of central Panama that are not associated with active volcanism. Following radiogenic correction, these data imply a mantle source 3 He/ 4 He > 10.3R A (and potentially up to 26R A , similar to Gal (cid:1) apagos hotspot lavas) markedly greater than the upper mantle range (8 ± 1R A ). Lava geochemistry (Pb isotopes, Nb/U, and Ce/Pb) and geophysical constraints show that high 3 He/ 4 He values in central Panama are likely derived from the in ﬁ ltration of a Gal (cid:1) apagos plume – like mantle through a slab window that opened ∼ 8 Mya. Two potential transport mechanisms can explain the connection between the Gal (cid:1) apagos plume and the slab window: 1) sublithospheric transport of Gal (cid:1) apagos plume material channeled by lithosphere thinning along the Panama Fracture Zone or 2) active upwelling of Gal (cid:1) apagos plume material blown by a “ mantle wind ” toward the CAM. We present a model of global mantle ﬂ ow that supports the second mechanism, whereby most of the east- ward transport of Gal (cid:1) apagos plume material occurs in the shallow asthenosphere. These ﬁ ndings underscore the potential for lateral mantle ﬂ ow to transport mantle geochemical heterogeneities thousands of kilometers away from plume conduits.
A NOVEL DATASET FOR TIME-DEPENDENT HARMONIC SIMILARITY BETWEEN CHORD SEQUENCES

State-of-the-art algorithms in many music information retrieval (MIR) tasks such as chord recognition, multip-itch estimation, or instrument recognition rely on deep learning algorithms, which require large amounts of data to be trained and evaluated. In this paper, we present the IDMT-SMT-CHORD-SEQUENCES dataset, which is a novel synthetic dataset of 15,000 chord progressions played on 45 different musical instruments. The dataset is organized in a triplet fashion and each triplet includes one “anchor” chord sequence as well as one corresponding similar and dissimilar chord progression. The audio ﬁles are synthesized from MIDI data using FluidSynth with a selected sound font. Furthermore, we conducted a benchmark experiment on time-dependent harmonic similarity based on learnt embedding representations. The results show that a convolutional neural network (CNN), which considers the temporal context of a chord progression, out-performs a simpler approach based on temporal averaging of input features.
Application of the Internet of Things Based on ZigBee Technology in High-rise Building Fire Rescue

The ZigBee technology and internet of things core technology are introduced in the high-rise building fire rescue.The positioning system of the internet of things technology based on ZigBee in high-rise building fire rescue is discussed,according to the status quo of the characteristics of high-rise building fire and rescue difficulties,and puts forward a reference scenario in order to reduce casualties and rescue trapped personnel faster and more efficiently.
Structural Modal Analysis of 4-Cylinder Engine Block

The three dimensional model of a in line four cylinder diesel engine block with constraint at the bottom is established with the Pro/Engineer software,and then the modal analysis of the engine block is carried out using finite element method in the case of constrained model.Through the analysis,the inherent frequencies and mode shapes of the first 20 order modes are obtained respectively,and then are contrasted with the results of free modal analysis accomplished previously.The results show the relative distribution of the vibration magnitude in the whole block and reveals the characteristics of modes in various frequency bands.Meanwhile,it is concluded that not only the natural frequencies but also the mode shapes are remarkably different from that of free modes.So it is very necessary to carry out constrained modal analysis for revealing the dynamic characteristics of engine block.