Miracle-dz/UniFAR-FTUs huggingface dataset:
time to express remoteness in space : A corpus-based study of distance representations for motion medium in the National Corpus of Polish

Entanglement of space and time in the human mind is among the most intensely pursued topics in contemporary cognitive science. A linguistic area that seems to be particularly suited to researching this problem is the domain of motion events because in this context expressions of distance can take both spatial and temporal representations. his study demonstrates a proportion between spatial and temporal expressions of distance for the semantic attribute of motion medium based on objectively veriiable frequencies of language patterns found in the National Corpus of Polish. Data obtained in this research show that in this semantic context Polish speakers tend to render distance both in spatial and temporal terms, with spatial representations being used more frequently, but not by a large margin. he results indicate that in the framework of motion events space and time act as complementary to each other, which suggests that they are correlated metonymically, rather than being asymmetrically dependent.
Reaction of Some Soybean Seed Coat Colors to Rhizoctonia Root Rot and Other Damping – Off Disease Agents, Yield and Yield Components

Laboratory, pot and field experiments using two soybean cultivars had yellow colored seed coats namely Giza 111 and Toano in addition to two promising breeding genotypes had black and brown colored seed coats; naturally mutated from Toano[ NMT] (black) and L159 L2 (brown), were carried out during two successive seasons 2014 and 2015 at Etay El-Baroud Agricultural Research Station, El-Beheira Governorate. Data of the laboratory experiment showed that there is a reversible relationship between seed coat extract concentrations, and Rhizoctonia solani growth diameter after 4 days, since the reduction was 18.89, 45.22 and 50.78% for the concentrations of 25, 50 and 75%, respectively for the black seed coat extract. In case of the brown seed coat extract concentrations, the same trend cleared where the fungal growth reductions were 22.56, 28.11 and 31.44%, respectively. The least reduction effect was observed with the yellow seed coat extract, where it was 11.44, 19.67 and 25.22% with the same concentrations mentioned above, respectively. Results of pot experiment showed that pre-emergence damping-off caused by R. solani was the least with the seedlings of black seed coat (NMT), followed by that of brown seed coat (L159 L2) and finally with that had yellow seed coat (Toano) with averages of 22.00, 23.35 and 26.77%, respectively. Removing seed coats (uncoated seeds) increased pre-emergence damping-off to 46.67, 50.00 and 66.67%, respectively. Also, disease severity showed the same trend with coated and uncoated colored seed coat genotypes. Under field conditions, at the first season the least pre-emergence damping-off was observed with Toano (yellow) followed by L159 L2 (brown), NMT (black) and Giza 111 (yellow) with averages of 15.67, 21.33, 29.00 and 32.00%, respectively. The same trend cleared in case of the post-emergence damping-off, where Toano had the least value followed by L159 L2, NMT and Giza 111 with averages of 4.35, 6.33, 6.61 and 12.68%, respectively. Data of the second season was parallel with that of the first one but with light differences in the arrangement. Soybean seed yield components at the first season showed that Giza 111 had the highest values in case of the number of pods/plant, number of seeds/plant, seed weight/plant (g), 100 seed weight (g), seed yield/plot (kg) and seed yield /feddan (ton) followed by L159 L2 and NMT, respectively. Also, data obtained in the second season were closed with that of the first season.
Multi-Level Adaptive Speech Activity Detector for Speech in Naturalistic Environments

Speech activity detection (SAD) is a part of many speech processing applications. The traditional SAD approaches use signal energy as the evidence to identify the speech regions. However, such methods perform poorly under uncontrolled environments. In this work, we propose a novel SAD approach using a multi-level decision with signal knowledge in an adaptive manner. The multi-level evidence considered are modulation spectrum and smoothed Hilbert envelope of linear prediction (LP) residual. Modulation spectrum has compelling parallels to the dynamics of speech production and captures information only for the speech component. Contrarily, Hilbert envelope of LP residual captures excitation source aspect of speech. Under uncontrolled scenario, these evidence are found to be robust towards the signal distortions and thus expected to work well. In view of different levels of interference present in the signal, we propose to use a quality factor to control the speech/nonspeech decision in an adaptive manner. We refer this method as multi-level adaptive SAD and evaluate on Fearless Steps corpus that is collected during Apollo-11 Mission in naturalistic environments. We achieve a detection cost function of 7.35% with the proposed multi-level adaptive SAD on the evaluation set of Fearless Steps 2019 challenge corpus.
Identifying Distinctive Acoustic and Spectral Features in Parkinson's Disease

In this paper we try to identify spectral and acoustic features that are distinctive of Parkinson’s disease patients’ speech. We investigate the contribution of several features’ families to a simple classification task that distinguishes between two balanced groups – patients with Parkinson’s disease and their age and gender matched group of Healthy Controls, both uttering sustained vowels. We achieve over 75% correct classification using a combination of acoustic and spectral features. We show that combining a few statistical functionals of these features yields very good results. This can be explained by two reasons: the first is that the statistics of Parkinson’s disease patients’ speech defer from those of Healthy people’s speech; the second and more important one is the gradual nature of the Parkinsonian speech that is manifested by the changes within an utterance. We speculate that the feature families that most contribute to the classification task are the most distinctive for detecting the disease and suggest testing this hypothesis by performing long-term analysis of both patient and healthy control subjects. Similar accuracy is obtained when analyzing spontaneous speech where each utterance is represented by a single normalized i-vector.
Moderating Effects of Dietary Oregano Extract ( Origanum vulgare ) on the Toxicity Induced by Organophosphate Pesticide, Diazinon in Rainbow Trout, Oncorhynchus mykiss : Metabolic Hormones, Histology and Growth Parameters

The present study was carried out to evaluate the moderating properties of oregano (Origanum vulgare) (ORG) extract on the toxic effects of organophosphate pesticide, diazinon on growth and some metabolism associated components of rainbow trout, Oncorhynchus mykiss. In non-diazinon-exposed fish, the triiodothyronine (T3) levels in serum and body weight index (BWI %) and specific growth rate (SGR) values were higher in fish supplemented with 2, 6 and 10 g ORG/kg diet compared to control (nonORG-supplemented fish) and fish fed 14 g ORG/kg diet after 60 days feeding trial (P<0.05). Furthermore, the serum thyroxine (T4) levels increased in fish fed 6 and 10 g ORG/kg diet compared to control and those supplemented with 2 and 14 g ORG/kg diet (P<0.05). Fish supplemented with 14 g/kg ORG diet showed the lowest BWI %, SGR and serum thyroid hormones (P<0.05). The lowest FCR values were observed in fish supplemented with 6 and 10 g ORG/kg diet (P<0.05). In diazinon exposed fish, thyroid hormones, BWI % and SGR significantly declined during 60 days exposure to diazinon in control and ORG-supplemented fish (P<0.05). However, these parameters were found to be higher in fish supplemented with 6 and 10 g ORG/kg diet compared to other exposed fish (P<0.05). FCR values significantly increased in control and fish supplemented with 2, 6 and 14 g ORG/kg diet after exposure (P<0.05). The levels of cortisol significantly elevated during exposure to diazinon in control and fish supplemented with 2 and 14 g ORG/kg diet (P<0.05). The glucose levels significantly increased in fish fed 6 and 10 g ORG/kg diet (P<0.5). During exposure period, diazinon induced ranges of histological lesions in liver, which the severity of theses lesions was lower in ORG-supplemented fish (P<0.05). In conclusion, ORG at optimum dietary levels (6-10 g/kg diet) could moderate the growth suppressing effects, stress and tissue lesions induced by diazinon. In addition, ORG at high dietary levels had toxic effects on
Masking Estimation with Phase Restoration of Clean Speech for Monaural Speech Enhancement

Deep neural network (DNN) has become a popular means for separating target speech from noisy speech due to its good performance for learning a mapping relationship between the training target and noisy speech. For the DNN-based methods, the time-frequency (T-F) mask commonly used as the training target has a significant impact on the performance of speech restoration. However, the T-F mask generally modifies magnitude spectrum of noisy speech and leaves phase spectrum unchanged in enhancing process. The recent studies have revealed that incorporating phase spectrum information into the T-F mask can effectively improve perceptual quality of the enhanced speech. So, in this paper, we present two T-F masks to simultaneously enhance magnitude and phase of speech spectrum based on non-correlation assumption of real part and imaginary part about speech spectrum, and use them as the training target of the DNN model. Experimental results show that, in comparison with the reference methods, the proposed method can obtain an effective improvement in speech quality for different signal to noise ratio (SNR) conditions.
MORPHOLOGICAL CHANGES IN HUMAN FETAL SPLEEN AT DIFFERENT GESTATIONAL AGES

Address for Correspondence: Dr Sonali Thomas, Assistant Professor, Department of Anatomy, Sri Ram Murti Smarak Institute of Medical sciences (SRMS IMS), Bhojipura, DistrictBareilly (Uttar Pradesh-India). Pin code243002. E-Mail: sonathomas0017@gmail.com. Background: The purpose of the study was desired to investigate and observe the variations in the morphology of spleen in human fetuses. The spleen is the largest secondary lymphoid organ, in the fetal stage it also performs the role of haematopoiesis. It acts as a blood filter, and also acts as storage site for iron, erythrocytes, and platelets. Materials and Methods: This study has been carried out on spleen of 40 formalin preserved human fetuses (19 males and 21 females) of different gestational ages, in the Department of Anatomy, Government Medical College, Haldwani over a period of two years (i.e. 20142016), with due regards on ethical grounds. Various gross parameters of spleen such as its location, shape, relations, notches & fissures and ligaments were observed and the results were statistically analyzed. Results: Spleens in all the fetuses was located in the left hypochondrium. 60% of the fetal spleens were wedge shaped. While stomach was related to the spleen in all the gestational ages, kidney and left colic flexure were not related to the spleen in the early age of the fetus. Liver and left adrenal gland also showed relations with the fetal spleen. Maximum number of notches was present in the superior border followed by inferior border and lateral pole. Fissures were also seen in 11 spleens. Conclusion: Knowledge about prenatal ontogenesis of the spleen will help to understand the mechanisms of pathology in the organ and create methods of diagnosis and prevention.
Genre-Oriented Web Content Extraction with Deep Convolutional Neural Networks and Statistical Methods

Extracting clean textual content from the Web is the ﬁrst and an essential step to resolve most of down-stream natural language processing tasks. Previous works in web content extraction focus mainly on web pages with a single main block of textual content, such as news articles and blog posts. They employ techniques that rely largely on the HTML structure of the page to extract the main content. Little attention has been paid to recognizing different genres of web pages, which can have a tremendous impact on the accuracy of the content extraction algorithms. In this paper, we propose Genre-Oriented Content Extraction (GOCE), a novel content extraction framework consisting of two steps: web genre classiﬁcation and content extraction algorithms based on the detected genre. GOCE ﬁrst employs state-of-the-art convolutional neural network models to classify the genre of the web page given a rendered image of the page. Then it applies content extraction algorithm utilizing the genre information for a more robust and accurate textual content extraction. Experiments show that GOCE achieves promising results in both web genre classiﬁcation and the end-to-end content extraction task. Furthermore, GOCE greatly improves from a well-cited competitive baseline. We will also publish our dataset which contains annotations of both the
University and Industrial Sector Collaboration : The Key Factors Affecting Knowledge Transfer

The purpose of this documentary research was to study factors associated with university and industrial sector collaboration of knowledge transfer: project management, organizational culture, communication, motivation, social networks and firm characteristics. The relations of the two organizations were based on resource dependence theory which was considered considerably important factors towards both the existence and development of the organization through the resource exchange with certain external organizations, however, the organization will not survive if it is unable to respond to those changes of external surroundings.
End-to-End Articulatory Attribute Modeling for Low-Resource Multilingual Speech Recognition

The end-to-end (E2E) model allows for training of automatic speech recognition (ASR) systems without the hand-designed language-speciﬁc pronunciation lexicons. However, constructing the multilingual low-resource E2E ASR system is still challenging due to the vast number of symbols (e.g., words and characters). In this paper, we investigate an efﬁcient method of encoding multilingual transcriptions for training E2E ASR systems. We directly encode the symbols of multilingual writing systems to universal articulatory representations, which is much more compact than characters and words. Compared with traditional multilingual modeling methods, we directly build a single acoustic-articulatory within recent transformer-based E2E framework for ASR tasks. The speech recognition results of our proposed method signiﬁcantly outperform the conventional word-based and character-based E2E models.
GREENHOUSE-GROWN MAIZE RESPONSE TO SULPHUR IN TWO SOILS OF PUEBLA STATE, MÉXICO

En un estudio de invernadero, se evaluó el efecto de siete combinaciones de materiales fertilizantes en el cultivo de maíz ( Zea mays L.) en dos Cambisoles del Agrosistema 5 del Plan Puebla, con el propósito de entender porqué el S contribuye a incrementar los rendimientos de maíz de esta región. Se establecieron dos experimentos en macetas: el primero, con plantas de maíz para evaluar la producción de materia seca y el efecto de los fertilizantes y el pH sobre la disponibilidad y absorción de N, P, S, Fe, Cu, Mn y Zn, a 50 días de la siembra. El segundo experimento, sin plantas, se realizó para evaluar la pérdida de N por volatilización de NH3. Las plantas fertilizadas con sulfato de amonio y superfosfato de calcio simple registraron la mayor producción de materia seca, así como una mejor nutrición con N, P, S, Fe, Mn y Zn. Una concentración de SO4 en el suelo £9 mg kg-1 extraído con Ca(H2PO4)2, representa condiciones de deficiencia de S para este cultivo. Las combinaciones de fertilizantes que incluyeron urea, sales amoniacales y HNO3 + H3PO4 produjeron una reacción ácida; en cambio, la aplicación de NaNO3+(NH4)2HPO4 fue alcalinizante. La pérdida de N por volatilización de NH3 fue insignificante (<0.1%). En conclusión, se observó que los efectos principales del S son su función nutricional per se y el abatimiento del pH del suelo, lo que incrementó la disponibilidad de micronutrimentos, especialmente Fe y Mn.
Traumatic Experiences and Juvenile Delinquency Relationship as Moderated by Sociodemographic Factors

The aim of this study was to explore the relationship between previous traumatic experiences of juvenile delinquents and their crimes against their sociodemographic backdrop. A representative sample of incarcerated male juveniles was surveyed. A sociodemographic questionnaire and the Life Events Checklist were administered. Moderating effects of sociodemographic factors on the link between previous trauma experiences and crime types were examined. Repeated physical assault was the most common traumatic event reported. Trauma experience level differentiated between crimes against life and crimes against property. Deliberate human caused trauma was significantly associated with serious delinquency. Moderating effects of sociodemographics was negligible. Largely, delinquents were above the age of 16 and were from low-income households in which they lived together with their parents and numerous siblings. Findings support social learning and social control theories in explanation of the liaison between early traumatic experiences and later criminal behavior.
Contributions of Scientific Production to Improve Nursing Practice in Compliance with Cardiopulmonary stop Intra-hospital

Cardiac arrest is a serious breakdown or termination of electrical and mechanical activity of the heart, resulting in loss of consciousness almost instantaneous and requires action within seconds to minutes of collapse to prevent death and disability of the individual [2]. Every minute of delay in assistance may also decrease the survival time, increase the chances of irreversible sequelae [3]. Defined by the sudden cessation of efficient ventricular activity and breathing, cardiac arrest is divided into four modes: Asystole, ventricular fibrillation, pulseless ventricular tachycardia and pulseless electrical activity [4]. According to the stop mode, the service requires specific actions guided by guidelines established by scientific evidence that is reviewed regularly by a scientific event hosted by the American Heart Association (AHA).
Effects of irrigation and fertilization on the growth of juniper seedlings

Juniper has recently become one of the most common species in forest nurseries throughout Turkey; however, issues related to cultural treatments have not been fully resolved yet. This project was implemented to determine the growth and nutritional responses of containerized Crimean juniper (Juniperus excelsa Bieb.) seedlings to irrigation (full vs. limited irrigation) and fertilization (unfertilized vs. fertilized) treatments. Results showed that the fertilization treatment significantly increased above-ground development in terms of height, root collar diameter, shoot and total dry weight but didn’t affect root dry weight. Consequently, shoot/root and height/diameter ratios also increased. Moreover, both shoot and root N and shoot 1 Süleyman Demirel University, Faculty of Forestry, 32260 Isparta, Turkey; nevzatgurlevik@sdu.edu. tr 2 Süleyman Demirel University, Faculty of Forestry, 32260 Isparta, Turkey; aysedeligoz@sdu.edu. tr 3 Süleyman Demirel University, Faculty of Forestry, 32260 Isparta, Turkey; dilekyildiz@sdu.edu. tr Corresponding author: Nevzat Gürlevik; E-Mail: nevzatgurlevik@sdu.edu. tr, Tel. : +90-246-211-3941; Fax: +90-246-2371810 Seite 172 Nevzat Gürlevik, Ayse Deligöz, Dilek Yıldız chlorophyll concentrations were also increased by fertilization. The effects of fertilization were either absent or very limited on other nutrients. Irrigation, on the other hand, had no effect on most seedling attributes. However, the amount of leachate increased significantly as a result of full irrigation. Similarly, EC and nitrate concentration increased in leachate in the fertilized treatments. Therefore, loss of nitrate in leachate was greatly elevated when full irrigation is combined with fertilization. These findings indicated that over-irrigation might lead to loss of nutrients and didn’t necessarily produce larger or healthier seedling; therefore, limited irrigation with fertilization may be more beneficial for juniper production.
Chapter 5 Novel Techniques in the Surgical Management of Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is the most common primary liver malignancy with cirrhosis preceding its development in most cases. Surgical resection remains the primary therapeutic option despite the recent emergence of locoregional therapies. Novel surgical techniques are being proposed to overcome the limitations of traditional anatomical open liver resection. Laparoscopic resection is a safe and effective alternative to open liver resection, especially for left lateral or peripheral segment tumors. It is associated with less postoperative morbidity, intraoperative blood loss, and medial hospital stay with no difference in oncological outcomes. Robotic-assisted liver resection overcomes the technically difficult resection of tumors located at the posterosuperior segments with similar outcomes to laparoscopic resection. Associated liver partition and portal vein ligation for staged hepatectomy (ALPPS) procedure allows resection in patients with HCC, and associated major vascular resection or small future liver remnant (FLR) with long-term results yet to be announced. For patients with small solitary tumors or poor liver function, nonanatomical liver resection is a feasible therapeutic option due to minimal postoperative morbidity and similar oncological results of anatomical resection.
Feature Classification and Outlier Detection to Increased Accuracy in Intrusion Detection System

The day by day targeted network attacks is steadily increasing and evolving, forcing businesses to revamp their network security systems due to possible data and capital losses. Intrusion Detection Systems is a very important element for almost any security system. The key feature of IDS is the active detection of unauthorized access that tries to compromise the confidentiality, availability and Integrity of computer or computer networks. Many researchers have already developed security and advanced techniques to explore technologies to detect cyber attacks with all DARPA 1998 dataset for Intrusion Detection and improved versions of this KDD Cup'99, NSL-KDD Cup and GureKDDcup data set. In this research, we evaluate the use of five ML classification algorithm to deal with the attack classification problem. They are SVM, Naive Bayes, KNN and the Decision Tree based C4.5 (J48) and Random Forest Algorithm. The project objective is to compare if some of the newer dataset and the most advanced, such as NSL-KDD and GurKDDcup dataset, could be much better candidates than older and overused DARPA KDD Cup 1999. The exact number of available features in a dataset clearly shows the relevance of detecting specific types of attacks. Another objective of this research, is to provide a suitable way to reduce the intricacies of the developed classification models in the first phase by reducing the features domain.