Miracle-dz/UniFAR-FTUs huggingface dataset:
Physiological function of FUS: An RNA binding protein in motor neuron disease

OF DISSERTATION FUS is an RNA binding protein implicated in the motor neuron disease— amyotrophic lateral sclerosis (ALS, also called Lou Gehrig’s disease). ALS is a fatal neurodegenerative disease characterized by progressive motor neuron death. Mutations in the FUS gene cause about 4% of familial ALS (FUS ALS). Mutated FUS protein mislocalizes from the motor neuron nucleus to the cytoplasm and forms inclusions in the cytoplasm. It is unclear how FUS mislocalization induces motor neuron dysfunction and degeneration. This dissertation research was designed to investigate the physiological functions of FUS in the nucleus, with a purpose to shed light on the pathogenesis of FUS ALS. Using biochemical and cell biology approaches, we revealed that there are two functionally distinct pools of FUS inside the nucleus. A portion of FUS is bound to active chromatin domains and is involved in gene transcription regulation. ALS mutations significantly decrease FUS chromatin binding. We further discovered chromatin binding requires FUS oligomerization, which is mediated by an intrinsically disordered QGSY (glutamine-glycine-serine-tyrosine) -rich region in FUS. Using confocal microscopy and an in vitro FUS oligomerization assay, we identified chromatin-associated nuclear RNAs as the trigger of FUS oligomerization. We further discovered that the RNA binding ability of FUS is also required for the cytoplasmic inclusion formation, which does not require the QGSY-rich region. By exchanging localizations of wild-type FUS and mutant FUS, we demonstrated that subcellular localization and RNAs play a more important role than ALS mutations in determining distinct FUS distribution and organization in different cellular compartments. By knocking down protein arginine methyltransferase gene and using methylation inhibitor treatment, we found that a post-translational modification of FUS—arginine PHYSIOLOGICAL FUNCTION OF FUS: AN RNA BINDING PROTEIN IN MOTOR NEURON DISEASE
Biophysical and pharmacological characterisations of Pannexin 1

The ATP-gated P2X7 receptors (P2X7Rs) play a key role in the release of pro-inflammatory cytokines in response to immunological challenges. Pannexin 1 (Panx1), conventionally described as a hemichannel forming protein, was suggested to be involved in the formation of the P2X7 large pore, which provides a conduit for large molecules such as fluorescent dyes. Firstly, this thesis demonstrated that the P2X7R-mediated dye uptake, a phenomenon attributed to the activation of Panx1, was suppressed by acidic pH and this inhibition was abolished in a P2X7 mutant (aspartic acid 197 to alanine) that was insensitive to extracellular pH. Then, the functional properties of human or mouse Panx1 in HEK293 cells were analysed in the absence of P2X7. The Panx1 currents were not affected by extracellular/intracellular calcium, but were reversibly inhibited by adenosine triphosphate (ATP) and non-specific anion channel blockers. Ion substitution experiments showed that Panx1 was permeable only to monovalent anions and single channel studies revealed a medium sized unitary conductance of Panx1 (~65 pS). Based on the evidence, this thesis concluded that Panx1 is an anion channel but not a hemichannel as originally proposed.
Raptor research and management techniques/ edited by David M. Bird and Keith L. Bildstein

Preface The Raptor Literature Raptor Identification, Ageing, and Sexing Systematics Study Design, Data Management, Analysis, and Presentation Survey Techniques Migration Counts and Monitoring Behavioral Studies Food Habits Habitat Sampling Accessing Nests Assessing Nesting Success and Productivity Capture Techniques Marking Techniques Spatial Tracking - Radio Tracking Satellite Tracking Stable Isotopes and Trace Elements Energetics Physiology Gastrointestinal Hematological Reproductive Pathology Disease Ectoparasites Endoparasites Toxicology Reducing Management and Research Disturbance Mitigation Captive Breeding Augmenting Wild Populations and Food Resources Rehabilitation Public Education Legal Considerations Index.
Parameter estimation for stochastic Lotka-Volterra model driven by small Lévy noises from discrete observations

Abstract This paper is concerned with the problem of parameter estimation for stochastic Lotka-Volterra model driven by small Lévy noises from discrete observations. The least squares method is used to obtain the parameter estimators and the explicit formula of the estimation error is given. The consistency of the estimators are derived when a small dispersion coefficient and simultaneously by using Cauchy-Schwarz inequality, Gronwall’s inequality, Markov inequality and dominated convergence. The asymptotic distribution of the estimation error is shown as well. Moreover, the simulation is made to verify the effectiveness of the least squares estimators.
Ultra Dense Edge Caching Networks With Arbitrary User Spatial Density

Cache-enabled small cells can be an effective solution to deliver contents to mobile users with much lower power and latency. While the trend for getting smaller and denser cells is clear, interference will soon become unmanageable and an obstacle when the number of content requests is massive. Moreover, content request is seldom a spatially homogeneous process due to physical impediments (e.g., buidings) and social activities, which makes resource allocation for content delivery more challenging. In this paper, we consider an ultra-dense network (UDN) in which content requests are served by cache-enabled access nodes which can either be active for delivering contents to users, or inactive to reduce interference and network energy consumption. Our aim is to devise an approach that can locally adapt the caching node density and content caching probabilities to accommodate any arbitrary user density and content request for maximizing the network’s successful content delivery probability (SCDP). With a non-homogeneous spatial distribution for user equipments (UEs), we find that user-load, a parameter at the access node, plays a major role in the overall optimization. Simulation results illustrate that the proposed method can obtain superior performance against the considered benchmarks, with up to 150-160% increase, and our optimized solutions effectively adapt to the spatial-dependent user density.
An Analysis of Catchment for the Archipelagic Area within Mainland-dominated Local Government

 Abstract This study found that there was dis-catchment in the archipelagic area within Sumenep Regency. The regency has two separated areas while the capital is located in the mainland area. Imbalanced development exists between these two areas: a more developed mainland and underdeveloped archipelago. This study was conducted at the end of 2017 in Kangean Islands that consists of three districts, Kangean, Kangayan, and Sapeken. Secondary data in the form of Developing Village Index (DVI) and Village Development Index (VDI) was confirmed through interviews and observations employing a data interactive model. By combining Developing Village Index and Village Development Index, the archipelagic area fell into the category of a deprived region. The mean of the two indexes for Sumenep Regency was lower than the mean for East Java Province; lower indexes of villages within the archipelagic area contributed to this. Lower indexes represent people who live in poverty as well as poor facilities and infrastructure. Lack of governmental capacity is the main problem for public service and development administration. Separation of local government should be implemented to overcome the problem; in other words, the archipelagic area or the islands should have its own government because it has different characteristics from the mainland for and for VDI. The results VDI and DVI
Dynamic Performance Improving Sliding-Mode Control-Based Feedback Linearization for PV System Under LVRT Condition

The low-voltage ride through condition (LVRT) attracts wider attention with the increased power of central grid-connected photovoltaic (PV) systems. The conventional double-loop-based control strategy designed for the nominal voltage is slow and potentially unstable under the LVRT operation. In this article, a novel sliding-mode control-based feedback linearization is proposed to improve response speed of the PV system under LVRT condition. To increase the robustness of the control to parameter variations, sliding-mode control is combined with the feedback linearization in this article. Further, the complete linearization of the PV system can be achieved over the whole operating range. Moreover, the dc-link voltage operating point of the PV panel can be dynamically adjusted based on the drop depth of the grid voltage, which will reduce the load changes during the LVRT and subsequently ensure the ac current levels to stay within the design limits in any fault situation and enhance the LVRT capability of the central grid-connected PV system. Finally, a 100-kW PV inverter is built to validate the feasibility and effectiveness of the proposed strategy for LVRT.
Mechanics and Physiology of Animal Swimming: The biology of fish swimming

This chapter explores the ways fish swim from zero speeds in station-holding and hovering, through cruising and sprint, to fast starts. The range of power required to swim over such a range is formidable. Effective swimming is achieved by performance range fractionation using gaits. Gaits are defined by the use of various combinations of propulsor type (median and paired fin or body/caudal fin propulsors), propulsor kinematics (station-holding, hovering, steady swimming and fast starts, muscle (red, pink and white), and locomotor behaviour (continuous and burst-and-coast swimming). The number of gaits expressed within lineages, and presumably locomotor performance range, has generally increased over evolutionary time. At any given evolutionary level, radiations have been common, often enhancing certain gaits but reducing performance in others (gait suppression). The range of gaits expressed during ontogeny also increases. Environmental influences tend to reduce metabolic scope so that successive gaits tend to be recruited at lower speeds (gait compression). Directions for future research include use of computational models better to model pressure distributions and forces during swimming. Problems especially of manoeuvrability, agility and stability have been neglected by traditional interest in maximum speed and acceleration. INTRODUCTION Fish are famed for their swimming prowess. But many species also walk over the aquatic and terrestrial substratum (Grobecker & Pietsch, 1979; Gans et al ., 1994) and others glide through the air (Fish, 1990). Fish swimming immediately suggests flashing fins, but some move by jet propulsion (Fish, 1987). Thus fish employ all axial and appendicular propulsor organs, their attendant muscles, and several behaviours in a wide variety of locomotor modes (Webb & Blake, 1985; Webb, 1993, 1994a).
Cassava breeding and agronomy in Asia: 50 years of history and future directions

In Asia, cassava (Manihot esculenta) is cultivated by more than 8 million farmers, driving the rural economy of many countries. The International Center for Tropical Agriculture (CIAT), in partnership with national agricultural research institutes (NARIs), instigated breeding and agronomic research in Asia, 1983. The breeding program has successfully released high-yielding cultivars resulting in an average yield increase from 13.0 t ha–1 in 1996 to 21.3 t ha–1 in 2016, with significant economic benefits. Following the success in increasing yields, cassava breeding has turned its focus to higher-value traits, such as waxy cassava, to reach new market niches. More recently, building resistance to invasive pests and diseases has become a top priority due to the emergent threat of cassava mosaic disease (CMD). The agronomic research involves driving profitability with advanced technologies focusing on better agronomic management practices thereby maintaining sustainable production systems. Remote sensing technologies are being tested for trait discovery and large-scale field evaluation of cassava. In summary, cassava breeding in Asia is driven by a combination of food and market demand with technological innovations to increase the productivity. Further, exploration in the potential of data-driven agriculture is needed to empower researchers and producers for sustainable advancement.
Construction of a CXC Chemokine-Based Prediction Model for the Prognosis of Colon Cancer

Colon cancer is the third most common cancer, with a high incidence and mortality. Construction of a specific and sensitive prediction model for prognosis is urgently needed. In this study, profiles of patients with colon cancer with clinical and gene expression data were downloaded from Gene Expression Omnibus and The Cancer Genome Atlas (TCGA). CXC chemokines in patients with colon cancer were investigated by differential expression gene analysis, overall survival analysis, receiver operating characteristic analysis, gene set enrichment analysis (GSEA), and weighted gene coexpression network analysis. CXCL1, CXCL2, CXCL3, and CXCL11 were upregulated in patients with colon cancer and significantly correlated with prognosis. The area under curve (AUC) of the multigene forecast model of CXCL1, CXCL11, CXCL2, and CXCL3 was 0.705 in the GSE41258 dataset and 0.624 in TCGA. The prediction model was constructed using the risk score of the multigene model and three clinicopathological risk factors and exhibited 92.6% and 91.8% accuracy in predicting 3-year and 5-year overall survival of patients with colon cancer, respectively. In addition, by GSEA, expression of CXCL1, CXCL11, CXCL2, and CXCL3 was correlated with several signaling pathways, including NOD-like receptor, oxidative phosphorylation, mTORC1, interferon-gamma response, and IL6/JAK/STAT3 pathways. Patients with colon cancer will benefit from this prediction model for prognosis, and this will pave the way to improve the survival rate and optimize treatment for colon cancer.
Is there Always a Positive Relationship Between Workplace Diversity and Organizational Performance, or Does Diversity Fatigue Imply a Suppressing Effect?

Abstract Performance of employees has been a vital matter for all organizations regardless of their sector. As organizations become more diverse, maintaining high performance becomes a challenge. This study examines the relationship between workforce diversity and organizational performance in educational sector of Cyprus through moderating effect of diversity fatigue. Mixed Method is used for the purposes of this study to analyze data from university academic staff, through survey and senior-level interviews (semi-structured). Qualitative measures were used to develop dimensions for diversity fatigue, which further were tested through quantitative approach. Results imply that extent of diversity fatigue can suppress the relationship between overall performance and workforce diversity, which is positive and significant prior to interaction of fatigue. Furthermore, our study expands the literature regarding the topic within educational sector. Managers can have an enhanced decision-making process regarding diverse workforce and degree of fatigue, which yields in a higher performance level for the firm.
Enhancing the efficacy of viral vector blood-stage malaria vaccines

1 ACKNOWLEDGEMENTS.2 TABLE OF CONTENTS.5 TABLE OF FIGURES . 13 LIST OF TABLES . 17 ABBREVIATIONS . 18 1 INTRODUCTION.24 1.1 MALARIA.24 1.2 PLASMODIUM FALCIPARUM LIFE CYCLE.24 1.3 MALARIA PATHOGENESIS . 28 1.4 THE RATIONALE FOR A VACCINE AGAINST MALARIA.28 1.4. 1 DO WE NEED A VACCINE? 28 1.4. 2 MALARIA VACCINE STRATEGIES.30 1.4. 3 IS A MALARIA VACCINE FEASIBLE? 34 1.5 MOUSE MODELS OF MALARIA.35 1.5. 1 PLASMODIUM BERGHEI . 35 1.5. 2 PLASMODIUM YOELII . 36 1.5. 3 PLASMODIUM CHABAUDI . 37 1.5. 4 TRANSGENIC RODENT MALARIAS . 37 1.6 ANTIGENIC TARGETS FOR MALARIA VACCINE DEVELOPMENT.40 1.6. 1 CIRCUMSPOROZOITE PROTEIN (CSP). 42 1.6. 2 MEROZOITE SURFACE PROTEIN 1 (MSP1) . 43 1.6. 3 MEROZOITE SURFACE PROTEIN 9 (MSP9) . 44
Survey on Fraud Detection in banking using Novel Strategy

Abstract — Now a day’s online payment gaining popularity because of easy and convenience use of ecommerce. It became very easy mode of payment. People choose online payment and e-shopping; because of time convenience, transport convenience, etc. As the result of huge amount of e-commerce use, there is a vast increment in credit card fraud also. Machine Learning has been successfully applied to finance databases to automate analysis of huge volumes of complex data. Machine Learning has also played a salient role in the detection of credit card fraud in online transactions. Fraud detection in credit card is a big problem, it becomes challenging due to two major reasons–first, the profiles of normal and fraudulent behaviors change frequently and secondly due to reason that credit card fraud data sets are highly skewed.
Lung tumor segmentation using coupling-net with shape-focused prior on chest CT images of non-small cell lung cancer patients

Volumetric lung tumor segmentation is essential for monitoring tumor response to treatment by tracking lung tumor changes. However, it is difficult to segment due to the diversity of size, shape, location as well as types such as solid, subsolid and necrosis of lung tumor and it is difficult to distinguish between the tumor and the nearby structures because of their low contrast in case of tumors attached to chest wall or mediastinum. In this study, we propose a coupling-net with shape-focused prior that focuses on segmentation of various types of lung tumor and prevent leakage into nearby structures. First, to extract shape information, 2D-Net is trained in each axial, coronal, and sagittal planes. Second, to generate the shape-focused prior including suspicious area of the lung tumor, the prediction maps are integrated with maximum voting, and shape-focused prior was made by applying the narrow-band distance propagation. Finally, to prevent leakage due to low contrast between lung tumor and adjacent structures and give the constraint using shape-focused prior, a 3D-Net is trained using shape-focused prior. To validate segmentation performance, we divide into four types according to the tumor location characteristics: non-attached tumor (Type 1), chest wall-attached tumor (Type 2), mediastinum-attached tumor (Type 3), and surrounded-tumor by chest wall, or liver in apex and base in the lung (Type 4). Our proposed network showed best segmentation performance without a leak to adjacent structures due to considering shape-focused prior.
Soft Tissue Evaluation of an Immediate Esthetic Zone Single Implant with a Stereolithographic Guide Using 3D Reconstruction and a CAD/CAM Customized Titanium Anatomic Abutment

The replacement of an unrestorable tooth with a single implant-supported prosthesis is a treatment with predictable and successful outcomes. The anterior maxilla region is a complicated site for such treatment, due to its esthetic, functional, and physiological sensitivity. The purpose of this study was to evaluate the changes in the soft tissue following an immediate implant procedure using guided surgery in combination with a computer-aided design and computer-aided manufacturing (CAD/CAM) customized titanium anatomic abutment in the esthetic zone. A total of 13 patients who had been treated with an immediate post-extraction implant placement and an immediate provisional restoration were included in the study. The changes in the soft tissue dimension, interdental papilla, and esthetic score were evaluated with a follow-up of at least one year. There was no significant change in the midfacial mucosal status when compared to the pre-treatment situation. The recession of the mesial papillary height was 0.32 mm and the distal papillary height was 0.10 mm. The mean horizontal change in the labial mucosa was 0.32 ± 0.83 mm. There was no significant difference between the mesial papilla index and the distal papilla index. The pink esthetic score value prior to treatment was 11.16, and at one-year follow-up, 10.25. Within the limitations of this study, the immediate post-extraction implant placement procedure with a stereolithographic guide and a provisionalization with a CAD/CAM customized titanium anatomic abutment may be a treatment option with predictable outcomes for the replacement of teeth in the esthetic zone.
Utilization of Prickly Pear for Preparation of Fruit Dessert

Prickly pear, an underutilized fruit in India is known for its functional benefits such as it boosts immunity, builds strong bones and teeth, maintains digestive health, enhances heart health, anti-carcinogenic effects, antioxidant potential, weight loss effects and suppresses inflammation. Gelatine based dessert was prepared using cactus pear juice and was compared with pectin based jellies prepared from the same juice. The loss in quality parameters was found lesser in gelatine based dessert than that in pectin jelly. Ascorbic acid analysis showed that the gelatine based dessert had more amount of ascorbic acid content as compared to pectin based jelly. The sensory evaluation was carried out to compare the consumer acceptance of gelatine based dessert and was observed that gelatine based dessert was sensorially superior than the pectin based jelly.
The complete mitochondrial genome of a nursery-web spider Dolomedes angustivirgatus (Araneae: Pisauridae)

Abstract The complete mitochondrial genome of a nursery-web spider Dolomedes angustivirgatus is 14,783 bp in length and contains a standard set of 37 genes including 13 protein-coding genes, 22 transfer RNAs, 2 ribosomal RNAs and a putative control region. The A + T content of the major strand is 77.0%. All the protein-coding genes are initiated by typical ATN codons, except for COII and COIII, which use a special start codon TTG. The truncated stop codon (T) occurs in ND4L, whereas the rest 12 genes end with the canonical stop codon (TAA and TAG). 15 tRNAs cannot be folded into typical cloverleaf-shaped secondary structure. The control region is 1084 bp in length and contains a long tandem repeat region. The result of phylogenetic analysis show that D. angustivirgatus is nested within Lycosoidea and recovered as sister to the cluster of three wolf spiders (Lycosidae).
Zooplankton communities in a river downstream from a lake restored with hypolimnetic withdrawal

Restoring lakes with hypolimnetic withdrawal can severely threaten water quality and biocenosis downstream. The objective of this study was to evaluate the effect of lake restoration on riverine zooplankton during a period of intense hypolimnion water inflow. Zooplankton density and biomass were determined in water samples. The water samples were also analyzed to determine the following physicochemical parameters: flow rate, dissolved oxygen, hydrogen sulphide, sulphate, ammonium nitrogen, nitrate nitrogen, total phosphorous, soluble reactive phosphorus, total organic carbon, and temperature. The results of multiple regression indicated that water flow was the most significant variable and was the best predictor of total zooplankton and rotifer density. Soluble reactive phosphorous was the main predictor of copepod biomass and density. Our study showed that hypolimnetic withdrawal disturbed the natural process of planktic community transformation, which was linked to the environmental shift from lacustrine to riverine. During the study, zooplankton density and biomass were low, but not as low as when the pipeline was operating at maximum output. At present, this lake restoration method has become more sustainable, because the adverse effects of hypolimnetic withdrawal on the recipient river have been minimized and limited to several weeks.