Miracle-dz/UniFAR-FTUs huggingface dataset:
otal phenolic content , antioxidant activity and toxicity of aqueous xtracts from selected Greek medicinal and aromatic plants

In this study, the total phenolic content, the antioxidant activity and toxicity of selected Greek medicinal aromatic namely Melissa officinalis L. , Origanum vulgare L. , Origanum dictamnus L. , Salvia officinalis L. and Hyssopus officinalis L. , were investigated under three different extraction processes. Among the plants studied, Melissa officinalis L. showed the highest values in total phenolic content (0.985 ± 0.001 mg caffeic acid/mL) and antioxidant activity (6.61 ± 0.04 mol Trolox/mL) independently of the extraction process. Toxicity evaluation of the infusions prepared in concentrations contained in commercial portions showed
Toward comparative polycentricity scores: Assessing variations in regional delineation and subcenter identification

Urban spatial structure is increasingly characterized by polycentricity, the presence of multiple interconnected centers of similar size. Polycentricity indicators, which influence research and policies related to urban development, rely on three phases of analysis: (a) delineating regions, (b) identifying subcenters within these regions, and (c) operationalizing polycentricity; and each phase contains decision points for analysts. This paper argues that polycentricity methodologies should be thought of in terms of pathways, then systematically applies 15 such pathways to the case of German regional polycentricity and compares the results. Findings suggest that questions of polycentricity are more robustly measured by comparing across multiple regional delineation methods and selection of subcenters, then looking for signs of agreement or disagreement. When possible, constructing regions from larger areas through bottom-up methods tends to avoid the biases of administratively defined regions. When this is not possible, statistical approaches to subcenter identification can serve as a check to avoid forced selection of subcenters in poorly defined regions.
Progressive Visual Analytics for Designing Deep Neural Networks

Deep neural networks are now rivaling human accuracy in several pattern recognition problems. Compared to traditional classifiers, where features are handcrafted, neural networks learn increasingly complex features directly from the data. Instead of handcrafting the features, it is now the network architecture that is manually engineered. The network architecture parameters such as the number of layers or the number of filters per layer and their interconnections are essential for good performance. Even though basic design guidelines exist, designing a neural network is an iterative trial-and-error process that takes days or even weeks to perform due to the large datasets used for training. In this paper, we present DeepEyes, a Progressive Visual Analytics system that supports the design of neural networks during training. We present novel visualizations, supporting the identification of layers that learned a stable set of patterns and, therefore, are of interest for a detailed analysis. The system facilitates the identification of problems, such as superfluous filters or layers, and information that is not being captured by the network. We demonstrate the effectiveness of our system through multiple use cases, showing how a trained network can be compressed, reshaped and adapted to different problems.
Accurate measurement of electrical bulk resistivity and surface leakage of CdZnTe radiation detector crystals

A classical method for the accurate measurement of the bulk resistivity and a quantitative separation of bulk and surface leakage currents in semi-insulating CdZnTe radiation detectors is evaluated. We performed an extensive set of experiments on CdZnTe single-crystal test devices to confirm the reliability and reproducibility of the measurements and the validity of the underlying assumptions for data analysis and parameter extraction. The experiments included temperature dependent dual current-voltage measurements on devices with guard electrodes as a function of device thickness, surface preparation, surface passivation, and electrode deposition conditions. We also evaluated the temperature dependence of the bulk resistivity and implemented a general temperature normalization routine to allow a reliable comparison between various crystal samples.
Stress , resource allocation , and mortality

We model the optimal allocation of limited resources of an animal during a transient stressful event such as a cold spell or the presence of a predator. The animal allocates resources between the competing demands of combating the stressor and bodily maintenance. Increased allocation to combating the stressor decreases the mortality rate from the stressor, but if too few resources are allocated to maintenance, damage builds up. A second source of mortality is associated with high levels of damage. Thus, the animal faces a trade-off between the immediate risk of mortality from the stressor and the risk of delayed mortality due to the build up of damage. We analyze how the optimal allocation of the animal depends on the mean and predictability of the length of the stressful period, the level of danger of the stressor for a given level of allocation, and the mortality consequences of damage. We also analyze the resultant levels of mortality from the stressor, from damage during the stressful event, and from damage during recovery after the stressful event ceases. Our results highlight circumstances in which most mortality occurs after the removal of the stressor. The results also highlight the importance of the predictability of the duration of the stressor and the potential importance of small detrimental drops in condition. Surprisingly, making the consequences of damage accumulation less dangerous can lead to a reallocation that allows damage to build up by so much that the level of mortality caused by damage build up is increased. Similarly, because of the dependence of allocation on the dangerousness of the stressor, making the stressor more dangerous for a given level of allocation can decrease the proportion of mortality that it causes, while the proportion of mortality caused by damage to condition increases. These results are discussed in relation to biological phenomena.
Employeeship concept: An interactive model of work relationships focused on leader and follower behaviors

The purpose is to present a theoretical model of the concept employeeship. Employeeship concerns all employees and covers the vertical perspective of work behaviors and relationships between formal leaders and followers, and the horizontal perspective between co-workers on all organizational levels. This enables the study of both formal and informal leadership, authentically recognizing that all employees are possible leaders and that leadership emerges in the relationship between one leading and one following. Employeeship attempts to bridge some of the gap in the literature between leader and follower perspectives and is defined as the behavior that constitutes the dynamic process of mutual work relationships between two or more employees based on task and social abilities. The Employee-Leader-Relationship Model illustrates the reciprocity between the employee perspective in employeeship, depicted on a continuum from low to highly developed task and social abilities, and the leader perspective in employeeship, depicted as task- and relation-oriented leadership. The operationalization of the Model measures expected leader and peer-employee behaviors as two discrete factors, and interactive leader-follower behaviors which is a factor based on the responses from both formal leaders and followers. Hence, there are two measures but three perspectives: top-down leader, bottom-up follower-employee, and horizontal peer-employee, and three factors important for the employeeship concept: leader, peer-employee, and the congruence of leader-follower behaviors. Dependent of the analysis made the employee measure is labeled peer-employee in the discrete factor and follower-employee in the leader-follower factor due to the shifting perspectives. Theoretical and practical contributions are discussed. (Less)
Rare events statistics of random walks on networks: localisation and other dynamical phase transitions

Rare event statistics for random walks on complex networks are investigated using the large deviation formalism. Within this formalism, rare events are realised as typical events in a suitably deformed path-ensemble, and their statistics can be studied in terms of spectral properties of a deformed Markov transition matrix. We observe two different types of phase transition in such systems: (i) rare events which are singled out for sufficiently large values of the deformation parameter may correspond to localised modes of the deformed transition matrix; (ii) ‘mode-switching transitions’ may occur as the deformation parameter is varied. Details depend on the nature of the observable for which the rare event statistics is studied, as well as on the underlying graph ensemble. In the present paper we report results on rare events statistics for path averages of random walks in Erdős–Rényi and scale free networks. Large deviation rate functions and localisation properties are studied numerically. For observables of the type considered here, we also derive an analytical approximation for the Legendre transform of the large deviation rate function, which is valid in the large connectivity limit. It is found to agree well with simulations.
Developing a Framework for Analyzing Heterogeneous Data from Social Networks

Due to the rapid growth of internet technologies, at present online social networks have become a part of people’s everyday life. People shares their thoughts, feelings, likings, disliking and many other issues at social networks by posting messages, videos, images and commenting on these. It is a great source of heterogeneous data. Heterogeneous data is a kind of unstructured data which comes in a variety of forms with an uncertain speed. In this paper, we develop a framework to collect and analyze a significant amount of heterogeneous data obtained from the social network to understand the behavioural patterns of the people at the social networks. In our framework, at first we crawl data from a well-known social network through Graph API that contains post, comments, images and videos. We compute keywords from the users’ comments and posts and separate keywords as noun, verb, and adjective with the help of an XML based parts of speech tagger. We analyze images related to each user to find out how a user like to move. For this purpose, we count the number of users in an image using frontal face detection classifier. We also analyze video files of the users to find the categories of videos. For this purpose, we divide each video into frames and measure the RGB properties, speed, duration, frame’s height and width. Finally, for each user we combine information from text, images and videos and based on the combined information we develop the profile of the user. Then, we generate recommendations for each user based on activities of the user and cosine similarity between users. We perform several experiments to show the effectiveness of our developed system. From the experimental evaluation, we can say that our framework can generate results up to a satisfactory level.
Impact of feed optimization and extension intervention on productive and reproductive performance in commercial dairy farms of urban areas in the eastern region of Ethiopia

© Abstract: This study aimed at assessing the husbandry practices and evaluating the impact of feed optimization on productive performances and reproductive disorders of dairy cows. The study was conducted on purposefully selected 76 and 16 dairy farms for pre-and post-intervention study, respectively, from Harar and Dire Dawa cities. Data were collected by semi-structured questionnaires and focused group discussion starting from October 2018 to September 2020. Commonly used feeds were standardized to the cows’ requirement. Milk yield was recorded every day for four consecutive months while milk composition was evaluated every month. Data analysis was done by SPSS, one-way ANOVA, and t-Test. The pre-intervention results showed that farmers from the small, medium, and large-scale farms fed cows on low concentrate quantity of 3.76, 4.61, and 5.84Kg/day, respectively. The quantity of concentrate supplementation per cow per day was significantly different (p<0.0001) among farm-scales. Cows maintained under different farm-scales produced low milk yields (9.57-13.07 litter). Cows from large-scale farms significantly produced milk with lower fat (P<0.0006) whereas small-scale farms produced milk with lower protein and milk urea (P<0.0001). All milking cows maintained in small, medium, and large farm-scales were highly affected by anestrus (44.45%), placenta retention (35.19%), and repeat breeding (20.37%). The technical intervention of feed optimization boosted daily milk yield from 17.64 to 27.44%, enhanced most milk components except fat and milk urea, and reduced the incidence of anestrus (11.11%), retention of the placenta (5.56-11.11%), repeat breeding (11.11-22.22), dystocia (5.56-11.11%) and prolapse (5.56%). Finally, this study concluded that regular technical advice and feed optimization improved milk production and reduced reproductive disorders of dairy farmers in all farm
Indigenous Seeds, Seed Selection and Seed Bank for Sustainable Agriculture

Indigenous seeds are grown by the farmers over the years with a strong influence from local natural factors. Such seeds have a higher level of intrapopulation variations and the capacity of buffering the adverse factors. Understanding indigenous seeds along with their diversity are useful to diversify their uses, to assess conservation status, to know the factors making farming areas red zone, and to improve their performance. Selection is the simplest and most common method for the improvement of crop varieties. The variation must be created and maintained to impose selection. Different types of selection can be considered depending on the mode of reproduction of crops. Response to selection and correlated response are estimated to make the selection process more effective. Many different selection approaches can target either developing monomorphic or polymorphic varieties. There are five selection units and can be applied in five crop stages. Farmers’ criteria need to be considered during selection process. Based on the genotypic classes, there are three types of selection namely stabilizing selection, directional selection, and disruptive selection. The most simple and common selection methods are pure lines, mass selection, and class-bulking selection. Orthodox seeds in short, medium, and long-term storage facilities are conserved as a seed bank. Major types are household seed banks, community seed banks, national seeds, natural seed banks, and global seed banks. A seed bank is for assuring the availability of crop diversity for research, study, and production. The common works in seed banks are diversity collection, regeneration, characterization, multiplication, and distribution along with online database management.
WHEN AND WHERE TO FIND A PITVIPER : ACTIVITY PATTERNS AND HABITAT USE OF THE LANCEHEAD , BOTHROPS ATROX , IN CENTRAL AMAZONIA , BRAZIL

Activity and habitat use in Bothrops atrox are described from central Amazonia using three methods: time constrained search (TCS, in swamp forest in a stream valley and terra firme forest on a plateau), occasional sightings (OS; both in primary forest), and snakes brought to a hospital (IMTM). Results for OS and IMTM indicate that B. atrox is significantly less active during the dry season. The monthly number of snakes found with OS and brought to the IMTM were both correlated with rainfall and relative humidity, but not with temperature. Monthly number of individuals found with TCS did not differ from expectation and was correlated with rainfall but not with humidity or temperature. Encounter rate at night was much higher than by day. Most snakes found at night were hunting in a coiled posture, whereas most snakes found by day were moving. Juveniles were found more frequently on vegetation than adults. The higher incidence of snakebites by B. atrox in summer in the Manaus region may reflect this increase in activity. Unimodal seasonal activity and primarily nocturnal habits are widespread in Bothrops. Ontogenetic shift in microhabitat use is also common in semiarboreal lanceheads and may be related to food availability and perhaps a higher predation pressure at the ground level.
An assessment of lattice Boltzmann methods for coating flow simulation

The lattice Boltzmann method (LBM) is a rapidly developing alternative fluid flow simulation method based on kinetic theory rather than continuum mechanics. This paper presents a brief summary of a simple LBM model, which is subsequently used to simulate the spreading of a droplet on a surface with a wettability gradient. Results are compared with a corresponding simulation based on lubrication theory, and show that the LBM can capture the main physical effect (i.e. spreading) but its quantitative predictions of droplet shape are rather different from those found from the continuum-based simulation. The reasons for this difference are discussed, along with potential means of improving agreement.
An Analysis of The Effects of Total Quality Management (TQM) on Patient Satisfaction in Hospital: A Scoping Review

Hospitals are an integral part of the health care system. They are accountable for delivering proper health care to very sensitive patients, including all essential difficult medical procedures. Recognizing the wants and aspirations of customers, in this instance patients, is critical for patient happiness. To achieve patient satisfaction, businesses or hospitals must develop and manage a system for acquiring new patients as well as the capacity to keep existing ones. In respect to the quality management system, one instrument that is believed to be capable of assisting organizations in improving their performance and achieving their objectives is Total Quality Management (TQM). As a result, Total Quality Management (TQM) might be one of the strategies adopted. This research technique is referred to as a scoping review. According to the findings of a literature search on the impact of ten TQM components on patient happiness at home, the Focus on Patient factor has the greatest influence on patient satisfaction in hospitals.
THE ROLE OF METACOGNITION STRATEGY TO ENHANCE READING COMPREHENSION

Metacognitive strategy is a learning strategy based on the metacognitive concept put forward by John Flavell that defines Metacognitive as the ability of individuals to manage their cognitive processes independently. By applying metacognitive strategies in the learning process, students are trained to get used to planning, controlling, and evaluating their thought processes in learning so that they are increasingly honed critical thinking skills as well as creative thinking skills. This ability is important to master so that students can have a sense of responsibility towards their own learning. This metacognitive reading framework should be familiar to teachers who integrate the process before reading, at the time of reading, and after reading on the process when teaching learners effective understanding strategies. Teachers are also encouraged to use metacognitive strategy models, as students can learn how to use them independently. In this article, the data were obtained from literature of study review and from other document analysis. Based on the study, metacognitive strategies help learners to use the right strategies in solving problems in reading and help students to stop their dependency using a dictionary. Metacognitive strategies train a person in learning by putting forward Higher Order Thinking Skills in reflective learning schemes
A Case Series of Acute Painless Bilateral Foot Drop Without Cauda Equina Syndrome

Introduction: Acute painless bilateral foot drop without bowel/bladder involvement is a very rare presentation of lumbar degenerative disorders. Only a few cases have been published on it in the literature. An early intervention could prove to be very helpful for the neurological recovery. Case Report: We present three cases where patients developed acute onset bilateral foot drop without radiculopathy and without bowel/bladder involvement. The first case was due to acute lumbar disc herniation, the second was caused by acute disc prolapse in a pre-existing asymptomatic lumbar canal stenosis, and the third one precipitated in a progressive degenerative severe lumbar spinal stenosis. Two cases (case reports 1 and 3) underwent minimal invasive decompression while the other case (case report 2) underwent instrumentation+ decompression + fusion. Case 1 and 2 with a short duration of symptoms showed good neurological recovery, whileereas Case 3 with longer duration of complaints did not improve. Conclusion: Patients presenting with painless bilateral foot drop without cauda equine syndrome should be evaluated for spinal causes besides central nervous systemCNS, peripheral nerve, metabolic and autoimmune causes. Any finding in support of lumbar degenerative disease as the cause after excluding other causes should prompt for surgical decompression of the spine as an early intervention might help patient recover back to a normal and active lifestyle.
ANTIMICROBIAL RESISTANCE (AMR)-FORECAST FOR 30 COUNTRIES IN EUROPE

Antimicrobial resistance (AMR) has emerged among the most serious public health issues, prompting the creation of worldwide implementation strategies. In this study, the application of seasonal or time-series approaches was suggested for forecasting the unknown percentages of resistance towards other microbial groups for seven microorganisms. Annual data between 2012 and 2019 were acquired from European Centre for Disease Prevention, and Control (ECDC) reports. Microsoft Excel’s function, ‘FORECAST.ETS’, was used for prediction purposes. Then, a brief analysis was done on the forecasted results. Forecasting AMR’s percentage makes it possible to develop a strategy for dealing with any situation that may emerge.
Genom e-wide stud ies of von Willebrand Factor Propeptide I dentify Loci Contributing to Variation in Propeptide Levels and von Willebrand Factor

Background: Previous studies identified common variants at the ABO and VWF loci and unknown variants in a chromosome 2q12 linkage interval that contributed to the variation of plasma von Willebrand factor levels (VWF). While the association with ABO haplotypes can be explained by differential VWF clearance, little is known about the mechanisms underlying the association with VWF SNPs or with variants in the chromosome 2 linkage interval. VWF propeptide (VWFpp) and mature VWF are synthesized from the VWF gene and secreted at the same rate but have different plasma half-lives. Therefore, comparison of VWFpp and VWF association signals can be used to assess if the variants are primarily affecting synthesis/secretion or clearance. Methods: We measured plasma VWFpp levels and performed genome-wide linkage and A u th o r M a n u s c ri p t