Miracle-dz/UniFAR-FTUs huggingface dataset:
Functional and Physical Interaction between Human Lactate Dehydrogenase B and Na+/H+ Exchanger Isoform 1

Abstract The ubiquitous plasma membrane Na+/H+ exchanger 1 (NHE1) is rapidly activated in response to various extracellular stimuli and maintains normal cytoplasmic pH. Yeast two‐hybrid screening was used in order to identify proteins interacting with NHE1 using its cytoplasmic domain as a bait from HeLa cDNA library. One of the interacting cDNA clones was human Lactate dehydrogenase B (LDHB). In vitro translated LDHB was pulled down together with GST‐NHE1.cd protein in the GST pull down assay, confirming the interaction in vitro. LDHB antibody immuno‐precipitated endogenous LDHB together with NHE1 from H9c2 cells, validating cellular interaction between NHE1 and LDHB. Subsequent analysis revealed that the overexpression of LDHB increased intracellular PH, implying opening of the NHE1 transporter. Moreover, overexpression of LDHB activated caspase 3 and induced cell death, consistent with the expected phenotype of hyper‐activation of NHE1. Collectively, our data indicate that LDHB modulates NHE1 activity via physical interaction.
Genetic Diversity Analysis for Some Desi Type Chickpea (Cicer arietinum L.) Advanced Lines

The present study was conducted in 100 promising chickpea (Cicer arietinum L.) genotypes using Mahalanobis D 2 Statistics. The divergence (D 2 ) analysis revealed that the 100 chickpea genotypes were grouped into nine significant clusters. The intra-cluster distance values were ranged from 5.3 (cluster IV) to 77.8 (cluster VIII). The highest inter cluster distance were observed between genotypes of cluster I and cluster VIII (874.5) followed by cluster I and cluster II (837.4), cluster I and cluster V (759.3), cluster I and cluster III (480.4), cluster I and cluster VII (413.7), cluster IV and cluster VIII (390.9), cluster II and cluster IV (377.5) and Cluster II and cluster VI (309.4), cluster I and cluster IX (300.4), cluster I and cluster IV (295.2), cluster IV and cluster V (287.2). The lowest inter cluster distance (81.6) were found between cluster VI and cluster IX followed by cluster II and cluster VII (81.8), cluster III and cluster VII (87.4), cluster IV and cluster VI (90.6), cluster II and cluster III (93.6), indicating existence of closer proximity between these clusters. Based on inter cluster distances and Per se performance, hybridization among the genotypes from these clusters which showed maximum distance might produce high yielding varieties having broad genetic base. In general the genotypes JV-11, IE-16-059/1, iccx-090013-f2-p215-BP, DZ-2012CX-0028, iccx-060045-f3-p5-BP, iccx-060039-f3-p182-BP may serve as potential parents for grain yield. IE-16-109/2, iccx0900013-f2-p107-BP, icc-6279, JG-62, icc-15614, IE-16-059/2 can be also a parental line for earliness, while iccx-090013-f2p265-BP, iccx-090013-f2-p107-BP, iccx-090013-f2-p103-BP, iccx-090013-f2-p215-BP for hundred seed weight. IE-16-109/2, icc-14778, icc-510, DZ-2012-CK-0253, icc-5135 also be a potential parental line for quality character of crude protein. Generally genotypes listed above may serve as a parental lines for hybridization program in the improvement of chickpea grain yield and its contributing trait.
Fauxtoshop: Modeling Image Editing Operations with Kernel Prediction Networks and Parameter Blocks

This work explores various way of building a proxy function for image editing software. We introduce parameter blocks that can be used with kernel prediction network as a highly eﬀective proxy model. We show it is critical to disentangle predicting the operations and applying them on images. Speciﬁcally, we show with various experiments that our model is 1) more eﬀective and more robust than other models 2) more interpretable with explicitly predicted operations to be applied on images 3) using less parameters than other models. This work also serves as an important early exploration in building a framework for transferring between image editing software while preserving non-destructive edits through parameter mapping.
MODELLING CAPSULE STABILITY ACCOUNTING FOR SHAPE CHANGE

Earth return missions or exploration missions use mostly capsule-like shapes, which enter the atmosphere at very high velocities. Some of these missions, like sample return, do not use any parachute or other stabilizing aerodynamic or RCS devices. Therefore, the capsule stability has to be guaranteed solely by the spacecraft configuration from hypersonic conditions down to the subsonic regime at landing. This task is very challenging and requires reliable design tools. However, both experimental and numerical tools still have shortcomings in full simulation or modelling of the flight environment. Therefore, further improvement of these tools by means of complementary application is essential. Most of the exploration missions use an ablative thermal protection system, which experiences shape changes during the hypersonic flight regime. This may lead to a change of the pressure distribution and movement of the center of gravity of the vehicle. Since the vehicle does not have control devices, it can lose its aerodynamic stability and the situation may become critical. The prediction of the Thermal Protection System (TPS) recession over the complete surface with the existing tools is not possible. Therefore, the aerodynamic design should consider it in the margin policy and the flight qualities and risk analysis need to be performed accordingly. The ESA TRP MODSHAPE (Modelling Capsule Stability accounting for Shape Change) addresses the aforementioned challenges and this paper gives an overview of the planned activities and summarizes the main challenges and goals.
Seed longevity and recruitment of seedlings in xerothermic grassland

The aim of the study was to check which of the xerothermic grassland species create persistent seed bank and what type of germination characteristics they exhibit. The following features of diaspores and the seed bank were taken into consideration: 1) relation between the annual seed production and the seed bank; 2) keeping the germination ability longer than one year, despite the soil samples being kept in the conditions promoting germination; 3) presence in the deeper layers of soil; 4) permanent abundance in soil, also between seed germination and seed shedding time. Carex flacca Schreb. , C. transsilvanica Schur, Linum flavum L. , Origanum vulgare L. and Scabiosa ochroleuca L. create persistent seed bank, Senecio macrophyllus M. Bieb. , Aster amellus L. and Brachypodium pinnatum (L.) Beauv. have the transient type of the bank. Germination time for the grassland species is spring and additionally, in a few cases, early autumn when the most favourable temperature and moisture conditions prevail in the studied plant community. Taking into consideration the changes in the percentage of germinating seeds during the year we can distinguish three types of annual dormancy cycle: Linum flavum pattern – germination occurs exclusively in spring; Salvia verticillata L. pattern – the germination peak in spring; yet, the seedlings are detected during the rest of the season; Senecio macrophyllus pattern – the species with two germination peaks: one in spring, the other in autumn.
Hydro & Engineering Geological Implications of Extracting the Salty Deep Groundwater on the Mobilization of Fresh Water Resources in the Lower Zarqa River Area, Jordan

Extractions of deep salty groundwater from the Triassic and Jurassic rocks in the lower reaches of Zarqa River have lead to mobilizing overlying fresh groundand surface water bodies to replace the extracted salty water leading herewith to the dissolution of evaporates from the rock matrix. This has, in turn, lead to the formation of small (Decimeter) underground cavities which widened with time to form huge underground cavities many 10s of meters), which ceilings collapsed and created sink holes at ground surface. This article discusses the geology, hydrogeology and hydrochemistry of the area of lower Zarqa River and quantifies the effects of the pumping of salty groundwater on the mobilization of fresh water, which is leading to the formation of underground cavities and sink holes at ground surface. The study shows that understanding the groundwater recharge, flow and discharge regime and the effects of disturbing that regime must be clarified before deciding to implement projects which may lead to damage to the groundwater system and become fiasco projects. The study concluded that pumping water from the deep salty Triassic and Jurassic rocks is equivalent to extracting water from Zarqa River itself, because the extracted water is being substituted by the Zarqa River water.
Sepiolite is recommended for the remediation of Cd-contaminated paddy soil

Abstract This study aimed to assess the extractability of cadmium (Cd) and Cd uptake by rice after applying soil amendments of lime (Ca(OH)2) and sepiolite. A rice (Oryza sativa) cultivation experiment was conducted in a Cd-contaminated paddy field. After applying lime, sepiolite, and a mixture of the two as soil amendments, soil pH showed a significant increase (p<0.05), and Cd in soil extracted with NaNO3, CaCl2, and DTPA, was reduced by 61–100%, 52–98%, and 12–15%, respectively (p<0.05). The amount of exchangeable Cd showed a significant decrease in all treatments (p<0.05), and we found increases in the proportion of forms of carbonate-bound, Fe/Mn oxide-bound, and residual Cd in the soils, as measured by a sequential extraction method. The grain or rice straw biomass was neither significantly influenced by any amendment in the experiment, while the uptake of Cd by rice significantly decreased in all treatments (p<0.05). The results reveal no advantage in applying a mixture of sepiolite and lime compared with applying sepiolite alone in immobilizing Cd in the soil. The use of sepiolite or sepiolite mixed with lime was more effective than the use of lime alone in the immobilization of Cd in the soil. We therefore recommend sepiolite as a soil amendment to remediate Cd-contaminated paddy soil.
Factors Influencing The Acceptance Of Routine Immunization Among Ebira People In Selected Areas Of Ado Ekiti, Ekiti State, Nigeria

Background: Despite government actions and policy to scale up routine immunization in Nigeria, the uptake in Nigeria and many Africa nations remains low when compared with more advanced countries. This study aimed at examining factors influencing acceptability of routine immunization among married Ebira women in selected communities of Ekiti State. Material and Methods: The study is a descriptive research and it employed cross-sectional design. Data was gathered from 361 women who had a minimum of two year-old children as at the time of survey, from selected communities in Ado Local Government such as Erinfun, Ukewo and Ago corner. Ethical approval was sought for from Research and Ethic Committee, Babcock University, Ilishan-Remo Ogun State. In addition, respondents were consented for full participation. Result: The study found that majority (96%) of the respondents utilized routine immunization for their children. It was also revealed that a substantial number (97%) of husbands accepted the immunization to be administered to their children. Again, place of birth is significant (χ2=15.307, p<0.05) in determining routine utilization. Moreover, husband’s support (χ2=39.726, p<0.05) and knowledge about availability of routine immunization at the health centre is statistically significant (χ2=4.127, p<0.05) in influencing the acceptance. Conclusion: The study concludes that larger number of Ebira women did not only accepted the routine immunization but they also utilized them. The study therefore, recommends that government should continue with the awareness campaign on the importance of routine immunization so that no single mother will be left out. Also, all government and state hospital should ensure that all the immunization commodities should be available and accessible for uptake.
Blood and seminal plasma enzyme values of Persian sturgeon, Acipenser persicus (Chordata: Osteichthyes)

Abstract An important aspect in the management and protection of endangered species from extinction is the determination of normal physiological values, including the blood and seminal plasma properties. This study was undertaken to establish a reference range for six important blood and seminal plasma enzymes. Samples of 20 Acipenser persicus Borodin, 1897 (10 female and 10 male) were analyzed. The reference ranges for the total samples and also for each sex were determined. The activities of measured enzymes in blood and semen were: alkaline phosphatase (ALP, 363.2 ± 25.24 and 12.23 ± 3.66 IU/L), acid phosphatase (ACP, 4.98 ± 0.39 and 1.86 ± 0.71 IU/L), lactate dehydrogenase (LDH, 1978.8 ± 176.5 and 472 ± 138.7 IU/L), creatine kinase (CK, 1149.6 ± 110 and 553.8 ± 119.9 IU/L), aspartate aminotransferase (AST, 51.12 ± 3.5 and 2.29 ± 1.34 IU/L) and alanine aminotransferase (ALT, 14.7 ± 0.89 and 6.9 ± 2.5 IU/L), respectively. There were significant differences between male and female fish in terms of LDH, CK and ALT activity (P < 0.05). To detect relationships among investigated parameters we used the Pearson correlation coefficient; no significant correlations were observed between these parameters in either blood or seminal plasma.
Growing‐Season Microclimatic Gradients from Clearcut Edges into Old‐Growth Douglas‐Fir Forests

Edge is an important landscape feature of fragmented forest landscapes in the Pacific Northwest, USA. Our primary objective of this study is to characterize the changes in microclimatic variables from recent clearcut edges into the old-growth Douglas- fir forests as influenced by edge exposures and local weather conditions. Microclimatic gradients are described along transects extending from recently clearcut edges 240 m into stands of old-growth Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) forest west of the Cascade Range in the U.S. Pacific Northwest. Data for air temperature, soil temperature, relative humidity, short-wave radiation, and wind speed were collected over the course of the day from 16 different edges representing a range of edge orientations and local weather conditions over two growing seasons (1989-1990). Data for soil moisture were collected over three consecutive days in September 1990. Two indices, significance of edge influence (SEI) and depth of edge influence (DEI), were used to evaluate the effects of edges on microclimatic variables. Edge effects typically extended 30 to >240 m into the forest. From the edge into the forest, air temperatures decreased during the day and increased at night; the reversal produced mid-morning and late-afternoon periods when a gradient was absent. Changes in soil temperature from the edge into the forest were comparable to those for air temperature, except that edge effects did not extend as deeply into the forest. The gradient for relative humidity increased from the edge and was steepest in mid-afternoon. Humidity effects sometimes extended >240 m into the forest. Short-wave radiation decreased rapidly with distance from the edge, reaching interior forest levels by 30-60 m. Wind speed de- creased exponentially from the edge into the forest, depending on the relationship of edge orientation to wind direction; stronger winds influenced conditions deeper inside the forest, sometimes >240 m from the edge. Edge orientation played a critical role for all variables; for air and soil temperature and humidity, it affected the times of day at which maximum and minimum values peaked. Influence of local weather conditions on gradients was highly variable. Overall, however, gradients generally were longest and steepest on partially clear, warm, dry days, at southwest-facing edges, and for air temperature, soil temperature, and relative humidity. SEI and DEI were found to be necessary measurements for evaluating edge effects on microclimatic variables, which responded differently depending on time of day, edge orientation, and local weather. No single value could be calculated for DEI. Because many ecological features near edges, such as tree stocking and regeneration, dis- persal of flying insects, and decomposition of woody debris, seem related to microclimatic gradients, forest management to protect interior conditions should shift from the traditional charge ("create as much edge as possible") to a new charge in which the amount of edge is reduced at both the stand and landscape levels.
A CONVOLUTIONAL NEURAL NETWORK APPROACH TO ROAD CLASSIFICATION FROM SATELLITE IMAGES

The significance of extracting roads from a satellite image of high resolution can help in road navigation, update geographic information systems, emergency rescue system that requires instantaneous maps. The difficulty lies in identifying and differentiating a road from its background. To overcome this difficulty more and more research is being conducted for devising efficient methods that can extract a road from a satellite image. The large presence of buildings and manmade structures along the roads or the presence of trees or the acquisition properties of the sensor can cause difficulties in identifying a road from a satellite image. The conventional way of identifying a road was using semi-automated approaches which is not feasible as well as consumed large amounts of time. A high accuracy technique for road extraction is needed. Also when compared with extraction from aerial images the extraction from satellite images is a challenging domain. The reason for that is satellite images have a resolution that is low and the presence of noise contents in any given image is quite high. This work deals with extracting a road network from high resolution satellite images. This work deals with estimating if a pixel in a satellite image is part of a road or not using Convolutional Neural Network. The advent of Tensor flow library has made this work feasible. The work proposes a new approach for making data sets for this complex problem and has concluded with a feasible solution for the problem.
EFFECTIVE SEMANTIC TEXT SIMILARITY METRIC USING NORMALIZED ROOT MEAN SCALED SQUARE ERROR

The Pearson correlation is a performance measure that indicates the extent to which two variables are linearly related. When Pearson is applied to the semantic similarity domain, it shows the degree of correlation between scores of dataset test-pairs, the human and the observed similarity scores. However, the Pearson correlation is sensitive to outliers of benchmark datasets. Although many works have tackled the outlier problem, little research has focused on the internal distribution of the benchmark dataset’s bins . A representative and well-distributed text benchmark dataset embody a wide range of similarity scores values; therefore, the benchmark dataset could be considered a cross-sectional dataset. Although a perfect text similarity method could report a high Pearson correlation, the standard Pearson correlation is unaware of correlated individual text pairs in a single dataset’s cross-section due to outliers. Therefore, this paper proposes the normalized mean scaled square error method, inferred from the standard scaled error to eliminate the outliers. The newly proposed metric was applied to five benchmark datasets. Results showed that the metric is interpretable, robust to outliers, and competitive to other related metrics.
Data Mining Based Approach for Evaluation of EEG Signals for Epilepsy Detection

The objective of this proposed research is to come up with a general methodology for classification of time series events, and to apply that methodology to the analysis of physiological signals recorded from epileptic patients for seizure analysis depending on EEG signal. In contrast to previous works, this research considered an alternative formulation of seizure analysis as a detection problem. This approach offers a good treatment of seizure detection
Effect of Different Particle Sizes and Oil Inclusion in Pre-Starter and Starter Broilers Diets

The size of particles of feed and ingredients is important in the regulation of food intake and consequently the performance of broilers. Similarly the presence of oil in the diet can stimulate feed intake and improve the productive characteristics of birds. It was studied the influence of texture (DGM) of the diet (360 μm, 473 μm, or 768 μm) and levels of inclusion of soybean oil in the diets (0 or 3%) in breeding performance at 7, 14, 21 and 28 days of age. The same diets were given to 15 birds housed individually in metabolic cages, and in each cage was provided to 6 treatments to evaluate the feeding preference of birds by means of feed intake at 7, 14 and 21 days of age. Diets with higher DGM resulted in higher feed intake at 7, 14, 21 and 28 days of age. More over, increasing the texture of the diet improved feed conversion at 14, 21 days and 28 days of age. The birds fed diets with lower DGM showed lower weight gain at 14, 21 and 28 days of age. The inclusion of oil in the diet promoted increased feed intake at 21 days of age, higher weight gain at 14, 21 and 28 days, and better feed conversion, 7, 14, 21 and 28 days of age. When the 6 treatments provided the birds preferred the diet with higher DGM at 7, 14 and 21 days, and those with addition of oil at 21 days of age. Increasing the size of rations and the use of oil improves the performance of broilers in the first weeks of age, however, the fat used to be high quality.
Register Linear Based Model for Question Classification Using Costa Level Questions

: Question classification module of a Question Answering System plays a very important role in identifying and providing results according to the user expectations. Different methods are involved in the classification that can be applied to all kinds of domains like machine learning and lexical database. Identifying the relevant approach for question classification for a specific domain is one of the foremost tasks. A study on different levels of questions including Blooms taxonomy and Costa taxonomy made the researchers to focus more on different categories of questions. To overcome these issues, we employ a question classifier using Register Linear (RL) models for a specific domain. The Register Linear (RL) Classification Model classifies the complex questions in a linear manner where each input is assigned to only one class. The RL classification model identifies the role of semantics provided in the input space which is divided into decision regions with the decision surfaces to be of linear functions of input x (sentence) for different set of classes. Initially, the Register Linear model identifies the role of semantics in a sentence, and with these roles being identified, statistical relations between the concepts in the sentence are derived that produce a probability distribution over different set of classes. With these classifications, the exact answer type is identified. The model proposed gives better results in terms of execution time (time taken to categorize the queries), classification accuracy and result analyzing efficiency.
Review on Efficient Approach for Web Search Engine Using Page Level Keyword

Web has become integral part of our lives and search engines plays an important role in making user search the contents online using textual queries. A search engine provides services too. With amount of information available on web, it is important to verify whether search engines satisfy all the requirements of users by their search results. So it becomes necessary to evaluate search engines based on user’s point of view. Evaluation of search engines is a method of determining how search engines meet the user’s needed information. All Web search engine is a computer program that allows user to search and retrieve web documents with queries for their information needs. Page level keywords are the keywords occur in individual pages of websites. page level keyword measures paper relevancy of search engines results. So this can be a basis to provide more relevant Search results to the users. This paper proposes a model for dynamic construction of a resultant page from various results fetched by the search engine.