Miracle-dz/UniFAR-FTUs huggingface dataset:
Antibacterial and antioxidant properties of phenolic-rich extracts from apple (Malus domestica cv. Gala)

Phytochemicals such as phenolic compounds have antimicrobial properties and are present in apples. In the present work, the antibacterial activity of apple extracts was evaluated against Escherichia coli, Listeria monocytogenes, Salmonella Typhimurium and Staphylococcus aureus. Initially, acetone-ethanol extracts of the Gala apple were purified and fractionated by solid phase extraction to obtain an unfractionated phenolic extract (UPE) and four phenolic fractions (PFs). The identification of phenolic compounds was performed by liquid chromatography-mass spectrometry. The antibacterial activity was determined through the disk diffusion method using the minimum inhibitory concentration and the minimum bactericidal concentration. The antioxidant activity was determined by 2,2-diphenyl-1-picrylhydrazyl, and the total phenolic content was estimated using the Folin-Ciocalteau reagent. The UPE and PF contained flavonoid derivatives including quercetin, rutin, epicatechin, malic acid, chlorogenic acid and phloretin. L. monocytogenes was susceptible to the UPE and to all PFs (except PF III), resulting in inhibition zones with diameters ranging from 3.75 mm to 14.68 mm. S. aureus was susceptible to nearly all PFs, except PF I and III. PF III effectively inhibited the growth of Gram-negative bacteria, which could be attributed to its prominent antioxidant activity (763.3 μg/mg fraction) and phenolic content (459.3 μg/mg fraction). However, PF IV produced inhibition zones that were similar in size but with higher antioxidant activity (1226.8 μg/mg) and phenolic content (620.6 μg/mg). All the fractions and the UPE exhibited high phenolic content and antioxidant activity. PF I, PF II, PF IV, and UPE showed strong activity against L. monocytogenes. Antibacterial activity was observed in all fractions, with fraction IV and the UPE having the broadest spectrum of action, as indicated by their ability to inhibit all Gram-positive bacteria tested. Therefore, the phenolic compounds detected in apples have the potential to be used as natural antibacterial agents and/or antioxidants in the food and pharmaceutical industry.
Conjugate Gradient ‎Method: A Developed Version to Resolve Unconstrained Optimization Problems

One of the important methods that are widely utilized to resolve ‎unconstrained ‎optimization problems is the Conjugate Gradient (CG) method. This paper aims to propose a new version of the CG method on the basis of Weak Wolfe-Powell (WWP) line search. The assumption is bounded below optimization problems with the Lipschitz continuous gradient. The new parameter obtains global convergence properties when the WWP line search is used. The descent condition is established without using any line search. The performance of the proposed CG method is tested by obtaining some unconstrained optimization problems from the CUTEst library. Testing results show that the proposed version of the CG method outperforms CG-DESCENT version 5.3 in terms of CPU time, function evaluations, gradient evaluations and number of iterations.
Ischemic stroke in Ukrainian population: possible involvement of the F2 G20210A, F5 G1691A and MTHFR C677T gene variants

Aim. To evaluate a possible involvement of the F2, F5, MTHFR gene variants into ischemic stroke pathogenesis in population of Ukraine. Methods. Polymorphic variants were analyzed in unrelated 183 stroke patients, 100 individuals from the general population of Ukraine and 88 healthy individuals elder than 65 years using PCR followed by RFLP analysis. Results. Unfavourable polymorphic variants F2 20210A, F5 1691A and MTHFR 677T were observed more frequently in patients with ischemic stroke comparing to control groups. Conclusions. F5 1691A and MTHFR 677T polymorphic variants are associated with the occurrence of ischemic stroke in women. F2 20210A is associated with the occurrence of ischemic stroke in men. Cumulative risk factor for stroke development is revealed in a combination of unfavorable polymorphic variants 20210A, 1691A and 677T of F2, F5 and MTHFR genes.
Gmunden Retreat on NeuroIS 2011

The new scientific discipline Neuro-Information-Systems (NeuroIS) brings together the fields of Information Systems (IS) and Neuroscience. Traditionally, IS studies the development and use of information and communication technologies in organizations and society. In the same way as economic research has identified the use of approaches from Cognitive Neuroscience resulting in the birth of Neuroeconomics, also NeuroIS is interested in the role of the brain for human decision making and information processing. Until now the predominant techniques used are magnetic resonance imaging (MRI) and electroencephalography (EEG) relating brain activity and structural differences in brain anatomy to behavior. However, the use of MRI and EEG is currently limited to laboratory settings, whereas genetic studies that are used very seldom until now are not. Thus, the ecological
Research on Graphical Interfaces to Perform Anatomical Queries on Large Collections of Gene Expression Images

How to ﬁnd the most interesting image when tens of thousands are involved? How to present relevant information to help users gain a deeper understanding of this data? As image information is increasing sharply, searching and presenting of images in large databases became more and more important in image management. In this paper, we focus on large neuro-anatomical image collections of Drosophila (fruit ﬂy) brains. Our goal is to propose a de-sign for optimizing a graphical query interface for anatomical search to present more valuable information behind the images and also improve the usability. In order to achieve this, we ﬁrst investigated different relevant web-sites such as “Fly Circuit”, “Fly Light” and “Allen Mouse Brain Atlas” and also image management programs such as PivotViewer and Zegami, analyze and compare these websites and programs with different perspectives, and try to deﬁnes guidelines for best practices out of them. Based on our ﬁndings we propose several mockups for neuro-anatomical query interfaces.
Seasonally Evolving Dominant Interannual Variability Modes of East Asian Climate*

A season-reliant empirical orthogonal function (S-EOF) analysis is applied to seasonal mean precipitation over East Asia for the period of 1979–2004. The first two dominant modes account for 44% of the total interannual variance, corresponding to post-ENSO and ENSO turnabout years, respectively. The first mode indicates that in El Niño decaying summer, an anomalous anticyclone appears over the western North Pacific (WNP). This anticyclone is associated with strong positive precipitation anomalies from central China to southern Japan. In the following fall, enhanced convection appears over the WNP as a result of the underlying warm SST anomalies caused by the increase of the shortwave radiative flux in the preceding summer. A dry condition appears over southeastern China. The anomalous precipitation pattern persists throughout the subsequent winter and spring. The second mode shows that during the El Niño developing summer the anomalous heating over the equatorial central Pacific forces a cyclonic vorticity over the WNP. This strengthens the WNP monsoon. Meanwhile, an anomalous anticyclone develops in the northern Indian Ocean and moves eastward to the South China Sea and the WNP in the subsequent fall and winter. This leads to the increase of precipitation over southeastern China. The anticyclone and precipitation anomalies are maintained in the following spring through local air–sea interactions. The diagnosis of upper-level velocity potential and midlevel vertical motion fields reveals a seasondependent Indian Ocean forcing scenario. The Indian Ocean basinwide warming during the El Niño mature winter and the subsequent spring does not have a significant impact on anomalous circulation in the WNP, because convection over the tropical Indian Ocean is suppressed by the remote forcing from the equatorial central-eastern Pacific. The basinwide warming plays an active role in impacting the WNP anomalous anticyclone during the ENSO decaying summer through atmospheric Kelvin waves or Hadley circulation.
MORPHO -HISTOLOGICAL STUDY OF SKULL BONES DEVELOPMENT IN INDIGENOUS GOOSE EMBRYO( ANSER ANSER DOMESTICUS )

Morphogenesis of bones of the skull in an indigenous goose embryo including the morphological(anatomical) and histological changes accompanied the process of bone creation, and transitional changes of the chondrofication, ossification and growth patterns of bones of different parts of the skull were investigated and analyzed to enable assessment of the developmental status and evaluation of the experimental effects on bone development (Teratological studies) and skeletal mutations, which leads to appear deformities . Observations of most of elements of different parts of the skull performed under continuous serial pursuit to evaluate sequence of the developmental changes were occurred, with special attention to the timing of chondrofi cation and ossification of bones. Serial histological feature of the developmental sequences fortified these observations by study of the structural and transitional changes occurred during bone formation.Some of the chondral skull elements start showing b lue staining at interval between 9 -15 days and start ossifying at interval between 14 -24 days, and other membranous skull elements showed direct red staining at interval between 11 -20 days of incubation. Almost all components of the hyoid apparatus remaine d cartilaginous except the ceratobranchial at hatching.
LemmaChase: A Lemmatizer

: Text Mining is a discovery or technique through which interesting information and hidden knowledge is automatically extracted from un-structured or semi-structured text. The critical part of understanding the textual data and giving an appropriate output as per the user requirement needs an initial important task of text pre-processing. Amongst the different pre-processing steps is an important one called Stemming. An improvisation to Stemming is Lemmatizing. This paper proposes a Lemmatization model which attempts to eliminate the shortcomings of the currently available popular Lemmatizers like the Stanford LemmaProcessor, Spacy Lemmatizer, LemmaGen, MorphAdorner etc. This model takes into account the nominalised/derived words for which correct lemmas are currently not generated by any available Lemmatizer. To develop a lemmatizer, the foremost challenge lies in understanding the morphological structure of any input English word and especially comprehending the derivational word’s structure. Another important challenging task for a lemmatizer is identification of derivational suffix from morphed words and then extraction of dictionary base word from that derived word. Existing famous and popular lemmatizers are not handling such derivative words to extract their base words. The proposed lemmatizer – LemmaChase, extracts the base word correctly considering the pre-requisite knowledge of the word’s Part of Speech, different class of suffix rules and efficiently implementing the recoding rules using the WordNet Dictionary. LemmaChase successfully generates the base word form from all its derivational / nominalized word forms available in any standard English dictionary.
Performance Improvement of Air Traffic Flow Management Ground Delay Program using Machine-learning and Mixed Integer Linear Programming based Algorithm

: In India, one of the tools used by Central Air Traffic Flow Management (C-ATFM) to resolve demand-capacity imbalances is to impose ground delays on flights using Collaborative Decision-Making(CDM) measures, commonly known as Ground Delay Program (GDP). This paper proposes a new method which uses machine learning to predict estimated landing time and allocate landing slots in Ground Delay Program (GDP). The performance of a GDP in demand capacity balance depends not only on optimal planning but also on the effectiveness of the intended execution of the scenario in the tactical phase. So the accurate prediction practical capacity and demand during the hours of operation is challenging task, especially when the compliance rate of existing GDP measure in Indian FIR is less than 60 %. Here we propose a combination of machine learning and Mixed Integer Linear Programming (MILP) based algorithm to minimize ground delay and optimise the arrival sequence
SISTEM PERSAMAAN LINEAR MAX-PLUS DAN TERAPANNYA PADA SISTEM JARINGAN KERETA API ( MAX-PLUS LINEAR EQUATION SYSTEM AND ITS APPLICATION ON RAILWAY NETWORK SYSTEM)

Max-Plus algebra is the set of R ∪ {−∞} with R is the set of all real numbers that are equipped with maximum operation and addition. Max-Plus algebra is able to model several types of Discrete Event System (DES) which are nonlinear in conventional algebra to be linear in Max-Plus algebra, so we can do further analysis of the system. Types of DES will be linear in the form of Max-Plus algebra which only synchronizes without any concurrency such as railway network systems, production systems, traﬃc lights, etc. This research discusses the application of the linear Max-Plus equation in the train schedules and involves synchronization between trains. The result of this study are obtained DAOP VI Yogyakarta rail network system model in the form of ˜ x ( k + 1) = ˜ A ⊗ ˜ x ( k ) which is then used to determine the departure period and the time of initial train departure. The departure period is obtained from the eigenvalue ( λ ) from the ˜ A matrix and the initial departure is obtained from the eigenvector corresponding to λ . The calculation shows that the train departure period is T = 588 minutes.
Baseline Susceptibility of Brown Planthopper, Nilaparvata lugens (Stål) to Mesoionic Insecticide Triflumezopyrim of Some Rice Areas in West and Central Java of Indonesia

DOI: 10.21276/sjavs.2017. 4.12. 9 Abstract: Issues inability of neonicotinoid and others insecticides to control of brown planthopper (BPH), Nilaparvata lugens (Stål) was suspected due to BPH had been resistant to those insecticides. To response this issues was carried out the research to evaluate rice BPH from 6 districts of West and Central Java against mesoionic triflumezopyrim (TFM) and neonicotinoid imidacloprid (IMI). The research used topical application method with probit analysis by POLO-PC. The result showed that the probits analysis of BPH to TFM and IMI were accepted to determined LD50, fiducial limit, and accurate for making probit regression model base on natural response, t-ratio, g-value and heterogeneity. Responce BPH from Subang was highly susceptible category to TFM with LD50 was 0.103 ng/g body weight and resistance ratio (RRcalculate) was 0.15-fold. BPH from Indramayu, Klaten, and Pati tend to decreased susceptibility to TFM with LD50 were 1.46-1.840 ng/g body weight and RRcalculate were 2.15-2.70-fold. BPH from Pemalang was decreased susceptibility category to TFM with LD50 was 2.687 ng/g body weight with RRcalculate was 3.95-fold. BPH from Karawang was low resistance category to TFM with LD50 was 3.730 ng/g and RRcalculate was 5.48 fold. BPH from Indramayu and Pemalang were highly susceptible to IMI with the LD50 were 91.450 and 101.346 ng/g body weight, whereas the RRcalculate were 0.83 and 0.92-fold respectively. BPH from Karawang, Subang, and Klaten tend to susceptible category to IMI with LD50 were 149.293-195.638 ng/g body weight and RRcalculate were 1.35-1.77-fold. BPH from Pati tend to decreased susceptibility to IMI with LD50 was 313.243 ng/g body weight and RRcalculate was 2.84fold. TFM provide a low LD50 and this insecticide can be used as complementary insecticide in the field and to solve the problem BPH that had been resistant to other insecticides by a sequential release method in IPM strategies.
Psychotherapy in the Dream: A Phenomenological Exploration

Post-materialist ontologies offer a transformed worldview whose implications point toward the illusory nature of the separate self, or ego. Aligned with the literature of mysticism and perennialist spiritual models, this portends a significantly altered backdrop for the practice and discipline of psychotherapy, the underlying premises of which assume a strict existential dichotomy between therapist and patient. Kenneth Warnock, preeminent scholar of the twentiethcentury spiritual document of A Course in Miracles, provides a relevant model toward integrating spiritually-based, ego-negative states within psychotherapy practice. The author studied the lived experiences of eight psychotherapists, both practicing and retired, who practice according to this method. Participants revealed that removing identification with the ego and joining spiritually with clients was the task of primary importance in the psychotherapeutic interaction. This included developing a relationship with the ‘Self’ beyond ego, symbolized as living, inner presence of transcendental love which animated the treatment process and significantly altered therapists’ view of clients, themselves and the ultimate purpose of psychotherapy. These findings potentiate the inclusion of a broadened, spiritually-integrated framework within the therapist-client interaction, in congruence with post-materialist ontologies.
Options for a Lexicographic Treatment of Negation in Zulu

Dictionaries of today should offer much more than just knowledge about single words, they should rather be regarded as language information tools. However, in most electronic dictionaries of today, complex morphological constructions are not considered, thus users of dictionaries are usually expected to analyse such complex words themselves and to query base forms. With such a task, language learners, especially beginners, are often out of their depth. The question arising now, in particular with regard to learners' dictionaries, is whether and how can we enable an electronic dictionary to analyse complex constructions providing information on their structure and on their meaning? Taking Zulu negation as an example of a complex morphological construction, we first examined the frequency of this phenomenon in the corpora available and found an impressive number of them. So in the latter part of this paper, we try to find options for a practical implementation in electronic dictionaries.
Remote sensing of american maple in alluvial forests: a case study in an island complex of the Loire valley (France)

Abstract: Due to their particular topographic position between land and river, riparian forests are ecosystems rich in biodiversity. In France, along the Middle Loire (from Nevers to Angers), Black poplar (Populus nigra L.) forests are often in mixtures with the American maple (Acer negundo L.), introduced into the country in the 18th century. We tested the detectability of American maple by LiDAR and very high-resolution multispectral imagery on an island complex. We found that coupling the point cloud height standard deviation with a vegetation index in the red, green and blue spectrums discriminated American maple with a success rate of more than 90%.
PEDESTRIAN DETECTION AND TRACKING IN SPARSE MLS POINT CLOUDS USING A NEURAL NETWORK AND VOTING-BASED APPROACH

Abstract. This paper presents and extends an approach for the detection of pedestrians in unstructured point clouds resulting from single MLS (mobile laser scanning) scans. The approach is based on a neural network and a subsequent voting process. The neural network processes point clouds subdivided into local point neighborhoods. The member points of these neighborhoods are directly processed by the network, hence a conversion in a structured representation of the data is not needed. The network also uses meta information of the neighborhoods themselves to improve the results, like their distance to the ground plane. It decides if the neighborhood is part of an object of interest and estimates the center of said object. This information is then used in a voting process. By searching for maxima in the voting space, the discrimination between an actual object and incorrectly classified neighborhoods is made. Since a single labeled object can be subdivided into multiple local neighborhoods, we are able to train the neural network with comparatively low amounts of labeled data. Considerations are made to deal with the varying and sparse point density that is typical for single MLS scans. We supplement the detection with a 3D tracking which, although straightforward, allows us to deal with objects which are occluded for short periods of time to improve the quality of the results. Overall, our approach performs reasonably well for the detection and tracking of pedestrians in single MLS scans as long as the local point density is not too low. Given the LiDAR sensor we used, this is the case up to distances of 22 m.
Succession of Gut Microbial Structure in Twin Giant Pandas During the Dietary Change Stage and Its Role in Polysaccharide Metabolism

Adaptation to a bamboo diet is an essential process for giant panda growth, and gut microbes play an important role in the digestion of the polysaccharides in bamboo. The dietary transition in giant panda cubs is particularly complex, but it is an ideal period in which to study the effects of gut microbes on polysaccharide use because their main food changes from milk to bamboo (together with some bamboo shoot and coarse pastry). Here, we used 16S rDNA and internal transcribed spacer 1 (ITS1) DNA sequencing and metagenomic sequencing analysis to investigate the succession of the gut microbial structure in feces sampled from twin giant panda cubs during the completely dietary transition and determine the abundances of polysaccharide-metabolizing genes and their corresponding microbes to better understand the degradation of bamboo polysaccharides. Successive changes in the gut microbial diversity and structure were apparent in the growth of pandas during dietary shift process. Microbial diversity increased after the introduction of supplementary foods and then varied in a complex way for 1.5–2 years as bamboo and complex food components were introduced. They then stabilized after 2 years, when the cubs consumed a specialized bamboo diet. The microbes had more potential to metabolize the cellulose in bamboo than the hemicellulose, providing genes encoding cellulase systems corresponding to glycoside hydrolases (GHs; such as GH1, GH3, GH5, GH8, GH9, GH74, and GH94). The cellulose-metabolizing species (or genes) of gut bacteria was more abundant than that of gut fungi. Although cellulose-metabolizing species did not predominate in the gut bacterial community, microbial interactions allowed the giant pandas to achieve the necessary dietary shift and ultimately adapt to a bamboo diet.
Governance for Social Purpose: Negotiating Complex Governance Practice

Social purpose initiatives rarely take place in only one sector or policy domain. They are likely to cross sector, community, local, and national interests and, in so doing, require alternative governance arrangements that are responsive and sustainable. This article focuses on the process of forging such governance processes drawing on a case study characterized by complex cross-sector demands. The subject of the case study is a paradigm-breaking primary health and well-being initiative for a region of New Zealand with longstanding healthcare challenges, but contemporary possibilities. We were invited by the creators of this initiative to record and reflect on the challenges and successes and, from this, to identify what might be possible for future innovations. In doing so, we draw on the adaptive governance literature to frame the governance challenges and offer five paradoxes requiring collective navigation. We conclude with a series of recommendations on how such paradoxes are navigated for those needing to build governance practice in innovative social purpose initiatives and recognize the importance of engaging with indigenous scholarship in future analyses.