Miracle-dz/UniFAR-FTUs huggingface dataset:
Abundance distribution patterns of intertidal bivalves Macoma balthica and Cerastoderma edule at the Murman coast tidal flats (the Barents Sea)

Density distribution of the common infaunal bivalves, Macoma balthica and Cerastoderma edule, was studied along the Murman Coast of the Barents Sea during 2002–2010. In both species, abundance was generally higher in West Murman in contrast to East Murman. Highest density of Macoma balthica reaching 1535 ind. m−2 was observed in the Kola Inlet. Cerastoderma edule was less abundant; its density rarely exceeded 10 ind. m−2 in all but one site, where 282 ind. m−2 was registered. Reconstruction of abundance distribution across the European geographic range of Macoma balthica revealed that it does not match an ‘abundant-centre’ pattern, having features of ramped north. On the other hand, distribution of Cerastoderma edule abundance across the range generally follows an ‘abundant-centre’ pattern but southern edge populations show relatively higher abundances as compared with those at the north edge (the Barents Sea).
Functional identification of genes involved in heme uptake and utilization in B. Henselae

Bartonellae are hemotropic bacteria, agents responsible for emerging zoonoses. These Alphaproteobacteria are heme auxotroph which must import heme for supporting their growth, as they cannot synthesize it. Therefore, Bartonella genome encodes for a complete heme uptake system allowing the transportation of this compound in the cytoplasm. Heme has also been shown to be used as an iron source for Bartonella. Similarly to other bacteria which use heme as an iron source, Bartonellae must degrade it to allow the release of iron. For Bartonella, the genes cluster devoted to the heme uptake system contains a gene encoding for a polypeptide that shares homologies with heme trafficking or degrading enzymes. Using complementation of an E. coli mutant strain impaired in heme degradation, we demonstrated that HemS from Bartonella henselae allows the release of iron from heme. Recombinant HemS of B. henselae binds heme and can degrade it in the presence of a suitable electron donor. Knocking down the expression of HemS in B. henselae reduces B. henselae ability to face H2O2 exposure. Bartonellae encode for four or five outer membrane Heme binding proteins. The structural genes of these highly homologous proteins are expressed differently according to oxygen, temperature, and heme concentration. These proteins were hypothesized to be involved in various cellular processes according to their ability to bind heme and their regulation profile. In this report, we investigated the roles of the four Heme binding proteins of Bartonella henselae. We show that these proteins are involved in the defense against oxidative stress, colonization of endothelial cells and survival inside the flea
Are kernels the mustard? Data from global positioning system (GPS) collars suggests problems for kernel home- range analyses with least-squares cross-validation

1. Kernel-density estimation (KDE) is one of the most widely used home-range estimators in ecology. The recommended implementation uses least squares cross-validation (LSCV) to calculate the smoothing factor (h) which has a considerable influence on the home-range estimate. 2. We tested the performance of least squares cross-validated kernel-density estimation (LSCV KDE) using data from global positioning system (GPS)-collared lions subsampled to simulate the effects of hypothetical radio-tracking strategies. 3. LSCV produced variable results and a 7% failure rate for fewer than 100 locations (H = 2069) and a 61% failure rate above 100 points (n = 1220). Patterns of failure and variation were not consistent among lions, reflecting different individual space use patterns. 4. Intensive use of core areas and site fidelity by animals caused LSCV to fail more often than anticipated from studies that used computer-simulated data. 5. LSCV failures at large sample sizes and variation at small sample sizes, limits the applicability of LSCV KDE to fewer situations than the literature suggests, and casts doubts over the method's reliability and comparability as a home-range estimator. © 2005 British Ecological Society.
Research of shopping recommendation system based on improved wide-depth network

With the development of e-commerce, there are more and more commodities. How to recommend the commodities that users are interested in quickly and accurately has become an important research topic in the field of e-commerce.we propose a product recommendation algorithm based on DeepFM network. Firstly, we embed the user’s purchased products, and transform the sparse feature into the low-dimensional dense feature, while the user’s personal attribute features can express the user’s purchase intention to a certain extent, and also use embedded coding to transform the features.DeepFM considers both wide and deep (i.e. low-level and high-level) at the same time to further improve the generalization ability of the model. So we use DeepFM to predict the interest of users in purchasing goods.Learning the expression of user’s interest from user’s purchase and personal preference, so as to accurately predict user’s purchase behavior.Finally, we use the real record data set purchased by online users to evaluate the effect of the model, and compare it with other models to verify the effectiveness of the model.
A reference model in BPMN for conceptual modelling of master planning schedule

Companies are progressively investing in practices aimed at improving the quality of management, with the main purpose of enabling them to operate competitively in the present market. For this, it is necessary to document the activities and information of the existing business processes in the organization, aiming at reducing time and cost in the elaboration of the particular model. In this context, the objective of this work is to develop a reference model of the Master Production Schedule (MPS) processes, an important module of production planning and control (PPC). The research methodology used in this work was divided into the following stages: study of MPS and business process modeling, definition of reference model processes, choice of methodology and process modeling tool, development of reference model and prototype of the software and, finally, analysis of results. The modeling notation used was the BPMN, since it is considered a standard language in the field of process modeling. The prototype was developed through the Delphi interface in order to apply the model to support the implementation of business management programs. As results, from a formal documentation, the model proved to be a useful mechanism in the understanding of the processes raised and appropriate in the support to the implantation of production management tools.
Genetics, Genomics and Breeding of Stone Fruits

Basic Information on the Stone Fruit Crops Daniel Potter Traditional Genetics and Breeding Thomas M. Gradziel Diversity Analysis Maria Jose Aranzana, Teresa Barreneche, and Pere Arus Molecular Linkage Maps: Strategies, Resources and Achievements Elisabeth Dirlewanger, EudaldIlla, and Werner Howad Mapping and Tagging of Simply Inherited Traits Jose Miguel Soriano and Maria Luisa Badenes Molecular Mapping of Complex Traits Bode A.Olukolu and Chittaranjan Kole Molecular Breeding Daniel Esmenjaud and Chinnathambi Srinivasan Map-based Cloning in Stone Fruits Renate Horn, Osama Sajer, Daniel Esmenjaud, Michel Claverie, and Elisabeth Dirlewanger Genome Sequencing Initiative Ignazio Verde, Elisa Vendramin, Sabrina Micali, Maria Teresa Dettori, and Bryon Sosinski Comparative Genetics and Genomics Initiatives D. J. Sargent, S. Jung, and D. Main Functional Genomics: Transcriptomics LivioTrainotti, Stefano Cagnin, Claudio Forcato, Claudio Bonghi, Amit Dhingra, Tyson Koepke, Loreto Prat, Jonathan Maldonado, and Herman Silva Proteomics and Metabolomics Maria V. Lara and Maria F. Drincovich Bioinformatics as a Tool for Stone Fruit Research S. Jung and D. Main Retrospect and Prospects Albert G. Abbott
Determination of Turkish First Robotics Competition (FRC) participants’ perceptions towards FRC via metaphors and construction of a novel mind map

In this study, it is aimed to investigate Turkish First Robotics Competition (FRC) participants’ perceptions towards the concept of FRC with the help of metaphors and to construct a novel mind map. The study is expected to contribute to FRC research and development studies by presenting local information from the point of Turkey. Also, the study will allow the researchers to compare the findings obtained from Turkey with FRC core values. For this reason, a qualitative study in the design of phenomenology was conducted with 282 Turkish FRC participants in fall, 2018. Data were collected with the help of a questionnaire consisting of two questions. The findings showed that participants mostly perceived FRC as family, school of life and addictive matter. Also, most of the participants mentioned robot and teamwork among their initial responses when they heard the word, FRC. As a result, the study indicated the excitement of Turkish participants towards FRC by relating their perceptions to the FRC core values and philosophy. So, it is thought that establishing cooperation with universities might be beneficial for future studies in Turkey.
EVALUATION OF RISK FACTORS FOR BREAST CANCER IN PAKISTANI WOMEN

Background: Breast cancer is one of the leading causes of morbidity and mortility in females of pakistan. We conducted this study to evaluate risk factors for developing breast cancer in Pakistani women. Methods: An observational/ cross sectional study was conducted at Dr. Ruth Pfau K. M Civil Hospital Karachi, Oncology Ward, from May 2017 to February 2018. A total of 80 patients of biopsy positive cases of breast cancer in Pakistani females were included who were admitted for chemotherapy. By taking the histories, their risk factors were evaluated, weight, height recorded and BMI calculated. Results: In this study 80 females were included to evaluate the risk factors for cancer of breast. Age was 40-59 years in 46.3% and 32.5% were of 24-39 year. Out of total, 98.8% were married, 1.3% was unmarried. Family history of breast cancer was 17.5%, early menarche 7.5%, late menopause 11.8%. Nulliparity was 10% and multiparity was 90%. Age at first full-term pregnancy above 35 years was 1.3%. Breast-feeding was in 77.5% and oral contraceptive pills use 18.8%. HRT was absent 100%. Dietary intake of high fat 40%, lack of exercise 95%, raised BMI 78.8% and use of hair dye in 58.8%. Synthetic dye use was reported in 4% and Henna was used in 96%. Frequency of hair dye use, ranged from occasional (4-5 times/year) 4.2%, to twice a month 4.2% and monthly 91.6%. Duration of hair dye use reported was for 2 years (4%), 5 years (7%), 7 years (11%), 10 years (14%), 15 years (20%) and 20 years (28%). Conclusion: The risk factors for cancer of breast have a different implication on Pakistani women than their western counterparts. Genetic and hormonal factors play a smaller role while life style factors play a major role including a recently associated risk factor of the use of hair dye.
Compensating Nonlinearities in Voltage Transformers for Enhanced Harmonic Measurements: The Simplified Volterra Approach

The number of nonlinear devices in distribution grids has rapidly grown in the last years, and this trend is likely to increase in a near future. In this scenario, power quality monitoring and identification of disturbance sources are critical aspects. Inductive transformers are often employed for this purpose, although their metrological performances are guaranteed only near rated frequency. Secondary voltage harmonics are affected by the filtering behavior of the transformer, but also by nonlinearities due to the iron core that may have remarkable impact. In this work a novel post-processing technique allowing to dramatically reduce the detrimental effects of nonlinearities is proposed and discussed. After explaining the methodology, it has been applied to enhance the harmonic measurement accuracy that can be obtained by using an inductive medium voltage instrument transformer. Experimental tests carried out in laboratory show the significant performance improvement achieved thanks to the proposed approach.
Characterization of exosomes from glioma cells under hypoxia

Exosomes are cell-secreted nanosized (30-200 nm) membrane vesicles that contain cytosol proteins and nucleic acids (mRNA, miRNA and mDNA). They have been characterized to be released by most cell types and thus, represent an important part of cell-cell communication. Especially they might play an important role in cell adaptation processes to stress conditions such as hypoxia or oxidative stress. The main difficulty in studying exosomes is however their purification and characterization process which is still a major challenge in the field of exosome research. In this study, we set up the method for isolation of exosomes with differential centrifugation and two characterization techniques nanoparticle tracking analysis (NTA) and bicinchoninic acid assay (BCA). With the latter techniques we studied whether glioma cells exposed to stress conditions produce more exosomes as communication messengers compared to standard environment. The study so far did not answer this question, our data nevertheless show the initial evidence that exosomes reflect the inner metabolic status of cells.
Controlled Reservoir Drawdown—Challenges for Sediment Management and Integrative Monitoring: An Austrian Case Study—Part B: Local Scale

The present case study deals with a controlled drawdown beyond the operational level of the Gepatsch reservoir (Austria). Based on the awareness of potential ecological consequences, an advanced set of measures was conducted and an integrative monitoring design was implemented. This pre- and post-event monitoring included measurements regarding the cross sectional variability and habitat-related turbidity, freeze-core sampling to obtain knowledge on fine sediment infiltration and an evaluation of the macroinvertebrate communities as well as fish egg development (salmonid incubation). The results of the sedimentological as well as biological investigations show a negligible impact on the downstream located aquatic system due to the controlled drawdown of the Gepatsch reservoir. In addition, recommendations based on the findings from this study regarding possible methods for local scale monitoring can be given.
FAKTOR YANG BERPENGARUH TERHADAP MATERNAL - FETAL ATTACHMENT

Background: Pregnancy, childbirth and postpartum is a transition period for a woman and is a complex life event that affects the biological, psychological, and social life experienced by the mother. Therefore the need to cultivate an inner bond between mother and baby or known as maternal fetal attachment (MFA). Objective: Aim of this study was to find factors that influence MFA in pregnant women. Methods: cross sectional study. The study was conducted at PKU Muhammadiyah Yogyakarta. Population is pregnant women routine ANC visits at the obstetric clinic. 100 respondents determined by the method of consecutive sampling. Inclusion criteria of pregnant women with a gestational age of 20-38 weeks, do not have high risk of pregnancy, no complications in pregnancy, and willing to become respondents. Exclusion criteria mothers who were not willing to become respondents. Data collection used a questionnaire consisting of basic data questionnaires for pregnant women, Socio demographic data, reproductive history, Pregnancy, PAI questionnaire , SSQ questionnaire. Results: The planned pregnancy had an effect on the MFA with indigo p <0.05 OR 6, 44 which means that the planned pregnancy had an effect of 6.44 times on the MFA score. while age, education, parity, occupation has no effect on the MFA score Conclusion: Planed pregnacy had an effect on MFA score in PKU Muhammadiyah Yogyakarta
Psychological maladjustment mediates the relation between recollections of parental rejection in childhood and adults’ fear of intimacy in Italy

Grounded in interpersonal acceptance–rejection theory, this study examined the relation between recollections of parental rejection during childhood and fear of intimacy (FOI) in adulthood, as mediated by adults’ psychological maladjustment. In Study 1, the Fear of Intimacy Scale (FIS) was adapted for use in Italy. Its psychometric properties were investigated in a sample of 635 adults (51% women; 18–35 years). Confirmatory factor analysis, reliability analysis, and measurement invariance analysis showed that the Italian version of the FIS is a valid, reliable, and gender invariant scale. In Study 2, the relations among adults’ recollections of maternal and paternal rejection in childhood, current psychological maladjustment, and self-reported general FOI were investigated in a sample of 360 Italian adults (51% women; 18–35 years). Path analysis showed that the association between recollections of parental rejection during childhood and FOI in adulthood is fully mediated by psychological maladjustment, particularly emotional unresponsiveness, negative self-esteem, and dependency. This model was not moderated by gender. These results provide useful indications for the design of interventions aimed at reducing FOI.
Simple Rules for a Complex World with Arti�?cial Intelligence

Can articial intelligence, in particular, machine learning algorithms, replace the idea of simple rules, such as ? rst possession and voluntary exchange in free markets, as a foundation for public policy? This paper argues that the preponderance of the evidence sides with the interpretation that while arti? cial intelligence will help public policy along important aspects, simple rules will remain the fundamental guideline for the design of institutions and legal environments where markets operate. “Digital socialism” might be a hipster thing to talk about in Williamsburg or Shoreditch, but it is as much of a chimera as “analog socialism. ”
Development and Assessment of a Sensor-Based Orientation and Positioning Approach for Decreasing Variation in Camera Viewpoints and Image Transformations at Construction Sites

Image matching techniques offer valuable opportunities for the construction industry. Image matching, a fundamental process in computer vision, is required for different purposes such as object and scene recognition, video data mining, reconstruction of three-dimensional (3D) objects, etc. During the image matching process, two images that are randomly (i.e., from different position and orientation) captured from a scene are compared using image matching algorithms in order to identify their similarity. However, this process is very complex and error prone, because pictures that are randomly captured from a scene vary in viewpoints. Therefore, some main features in images such as position, orientation, and scale of objects are transformed. Sometimes, these image matching algorithms cannot correctly identify the similarity between these images. Logically, if these features remain unchanged during the picture capturing process, then image transformations are reduced, similarity increases, and consequently, the chances of algorithms successfully conducting the image matching process increase. One way to improve these chances is to hold the camera at a fixed viewpoint. However, in messy, dusty, and temporary locations such as construction sites, holding the camera at a fixed viewpoint is not always feasible. Is there any way to repeat and retrieve the camera’s viewpoints during different captures at locations such as construction sites? This study developed and evaluated an orientation and positioning approach that decreased the variation in camera viewpoints and image transformation on construction sites. The results showed that images captured while using this approach had less image transformation in contrast to images not captured using this approach.
Enhancement of the Interface of Cell phone for an Active Learning with High sophistication Engrossment

—our previous work suggested an Improvement learning process, which uses the students’ study records in order to improve the students’ learning and the self-learning time. To improve the progress speed of a lecture and excitement the efficiency of the Self-learning, we proposed an Active Learning System (ALS) using Cell phone. we suggested the group Convention system of Active learning System. However, the previous interfaces for interactive learning had limited adequacy in maintaining participants' Engrossment when their skill levels vary. To solve this problem, we propose the interface of Cell phone on our Active learning System to improve the learning endorsement. In this paper, we describe the flow of the interactive lecture. Moreover, this paper indicates the interface of the mobile device on the Innovative lecture.
Homogenization of Geostationary Infrared Imager Channels for Cold Cloud Studies Using Megha-Tropiques/ScaRaB

Infrared (IR) observations from the fleet of multiagencies meteorological geostationary satellites have a great potential to support scientific and operational investigations at a quasi-global scale. In particular, such a data record, defined as the GEOring data set, is well suited to document the tropical convective systems life cycles by applying cloud tracking algorithms. Yet, this GEOring data set is far from being homogeneous, preventing the realization of its potential. A number of sources of inhomogeneities are identified ranging from spatiotemporal resolutions to spectral characteristics of the IR channels and calibration methodologies. While previous efforts have attempted to correct such issues, the adjustment of the cold part of the IR spectrum remains unfit for cold cloud studies. Here, a processing method is introduced to minimize the inhomogeneities against a reference observational data set from the Scanner for Radiation Budget (ScaRaB) instrument onboard the Megha-Tropiques satellite. The method relies on the collocations between the geostationary observations and the reference. The techniques exhibit significant sensitivity to the selection of the relevant pairs of observations requiring a dedicated filtering of the data. A second effort is then proposed to account for the limb-darkening effect and a method is developed to correct the brightness temperature (BT) dependence on the geostationary viewing zenith angle (VZA). Overall, results show a residual after the processing of 0 K between any of the geostationary data and the ScaRaB reference. The final calibrated and limb-adjusted IR observations are then homogeneous for cold BT lower than 240 K with a standard deviation lower than 1.5 K throughout the GEOring.
Evolutionary Genomics of microRNAs and Their Relatives

Andrea Tanzera,d Markus Riester,a Jana Hertel,a Clara Isabel Bermudez-Santana,a,b Jan Gorodkin,c Ivo L. Hofacker,d Peter F. Stadler,a,d,e, f aBioinformatics Group, Department of Computer Science; and Interdisciplinary Center for Bioinformatics, University of Leipzig, Hartelstrasse 16-18, D-01407, Leipzig, Germany bDepartment of Biology, Universidad Nacional de Colombia, Tr. 38 40-01, Bogota, D.C., Colombia cDivision of Genetics and Bioinformatics, IBHV, University of Copenhagen, Gronnegardsvej 3, DK-1870 Frederiksberg, Denmark d Institute for Theoretical Chemistry, University of Vienna, Wahringerstrase 17, A-1090 Wien, Austria eFraunhofer Institute for Cell Therapy und Immunology, Deutscher Platz 5e, D-04103 Leipzig, Germany f Santa Fe Institute, 1399 Hyde Park Rd., Santa Fe, NM 87501, USA