Miracle-dz/UniFAR-FTUs huggingface dataset:
Agricultural Greenhouse Gas Emissions: Ukrainian Involvement in the Global Ecological Challenge

Greenhouse gas emission is a global ecological challenge since it affects climate change and complicates providing food security. Each country ought to care about mitigating Greenhouse gas emissions including CH4 and N2O originated from agriculture. In this context, first, the performed research focused on Ukrainian ranking among the world Greenhouse gas emitters offering a multi-criteria evaluation of total Greenhouse gas quantities in CO2 equivalent, those ones per capita and per km2 of countries’ land territories. These indictors were also applied to visual comparing involvement of Ukrainian economy and its agriculture in the international Greenhouse gas emissions. Second, to explore agricultural Greenhouse gas emission at the domestic level we studied regional contributions by basic source categories such as enteric fermentation, manure management, and synthetic fertilizers. The proposed horizontal and vertical analyses allow clarifying regional management priorities in reducing Greenhouse gas emissions. Third, for this purpose the conducted investigation specified the EU Member States which match Ukrainian condition by shares of Greenhouse gas emissions and outputs in animal and crop sectors. The found patterns will be the most reliable vectors of adopting effective agricultural practices beneficial for the environment protection and mitigating influence over climate change.
Design and Implementation of a Tri-Band Miniaturized Planar Inverted-F Antenna with Double Resonator for GPS Application

In this paper, a new planar inverted-F antenna is presented for GNSS applications and the DCS band. The proposed antenna structure is based on capacitive slots that achieve multiband behavior. The antenna has two resonators of dimensions (31mm×17mm×0.35mm) and (20.5mm×17.5mm× 0.35mm), a ground plane (60mm×17.5mm×0.35mm) and 6.5mm height. A prototype was implemented and good agreement was noticed between the simulation and test results, indicating three resonant frequencies, namely 1.176GHz, 1.8GHz and 2.8GHz. Radiation characteristics and diversity performance of the proposed structure is presented with detail.
MARKET REACTION ON SWITCHING TO INDUSTRY EXPERT AUDITOR: EVIDENCE FROM THE UK

Penelitian ini bertujuan untuk menguji apakah terdapat sebuah hubungan positif antara cumulative abnormal returns (CAR) dan keputusan perusahaan untuk menggunakan auditor spesialis industri. Dari 2.097 populasi perusahaan yang terdaftar di London Stock Exchange selama tahun 2003 2013, terdapat 118 sampel perusahaan non-keuangan yang mengganti auditornya dan memiliki data lengkap. Metodologi studi peristiwa digunakan atas data sekunder dari laporan keuangan, database Nexis dan Thomson Reuters Spreadsheet Link. Hasil penelitian menunjukkan bahwa tidak terdapat respon pasar modal yang signifikan ketika perusahaan mengganti auditornya dari non-spesialis industri ke spesialis industri. Akan tetapi, uji t atas CAR menunjukkan bahwa secara umum pasar modal bereaksi secara signifikan terhadap pengumuman pergantian auditor. Hasil ini bermanfaat bagi manajemen dengan mengindikasikan bahwa investor peduli dengan pergantian auditor itu sendiri namun tidak mempertimbangkan spesialisasi industri auditor yang baru. Sehingga manajemen perusahaan harus memberikan perhatian kepada aspek lain yang lebih firm-specific.
Ruled Based Text Summarizer for History Documents

A summary is the concise text conveys the most important information from the source document. Summary of the text can be generated from a single document or from multiple documents. In digital era lot of information available on web. To search the required information search engine takes more time and gives excess data or information ,Automatic text summarization resolves this problem. In our rule based summarizer system we are generating summary by extracting most important sentences from the text document using some features like named entity, numerical data, title word . This system is mostly useful in history text document. History text document is so lengthy and boring to Read, by this summarizer we can generate important sentences so that user can read it in short time with better understanding.
Exploring the Potential of Local and Exotic Sweet Potato Leaves as Vegetables

An experiment was conducted at farmer’s field of Dashpara village of Sylhet Sadar upazila during 2016-2017 to find out nutritional status of the leaves of four local and four exotic lines of sweet potato. d. The lines and variety were Local-1, Local-2, Local-5, Local-8, Exotic-1, Exotic2, Exotic-3, Exotic-4 and BARI SP-4.The experiment was conducted by in a Randomized Complete Block Design. Crude protein, crude fat, crude fiber, total ash, moisture and carbohydrate were determined by proximate analysis whereas elemental nutrients, total sugar, starch, vitamin C, phenolic compounds and tannins were determined by the procedure outlined by Association of Analytical Chemists’ (AOAC). Ninety days old fresh leaves were collected from the experimental field for chemical analysis. Results revealed that the highest percent of carbohydrate (by difference), crude protein, crude fat, total ash and energy were in Exotic2 (65.47), Local-2 (26.59), Local-5 (3.63), BARI SP-4 (8.35) and Local-1 (370.4 Kcal 100 g), respectively. The highest percent of crude fiber, total sugar and starch were recorded in Local-8 (17.79), Local-2 (5.63) and Local-8 (36.42), respectively. The Local-1 contained the highest amount of phenolic compounds and tannins while vitamin C was in Local-5 and Local-8. It was also observed that sweet potato leaves of Local-1, Local-5 and Local-8 contained appreciable levels of iron, zinc, calcium, magnesium, potassium and phosphorus. It can be concluded that the leaves of Local-1, Local-5, Local-8, Exotic-1 and Exotic-2 could be suitable for vegetables and can be included as supplement our daily nutrient requirements.
Inverse Fisher Discriminant Ratio based Training Set Selection for Optimal Classification Accuracy

Traditionally, the Fisher Discriminant Ratio (FDR) has been used to check the inter-cluster and intra-cluster distance in data points. The larger the FDR, the better the separability of data, enabling a relatively simpler classifier to perform the task with significant accuracy. In this paper, a novel Inverse Fisher Discriminant Ratio (IFDR)-based approach was used to find the optimal performance of a classifier or classifier ensemble for classification of Igneous rock into Volcanic and Plutonic Rock subfamilies. K-Nearest Neighborhood, Radial Basis Function SVM and AdaBoost with SVM as a weak classifier were used for the classification. Random training datasets were generated out of the variety of Volcanic and Plutonic rock microstructure images. To comply with the broad need to have a training dataset that is uniformly distributed in the feature set, IFDR was calculated for each such set. Consistent with the larger IFDR, for training datasets with diverse representation from feature space, maximum accuracy was reported. This was consistent observation, in case of all classifiers and classifier ensemble. Thus, the IFDR-based approach also provided an estimate of maximum classification accuracy that can be obtained using Classifiers and classifier Ensemble. Better performance is reported for AdaBoost Classifier. The causal relation reported between IFDR for testing the diversity of Training set and optimal accuracy for any classifier, can be used for variety of databases.
Impact of intellectual capital on financial vulnerability of pharmaceuticals sector in Pakistan

Generally, Intellectual capital (IC) is recognized as a strategic asset of a company and used for value creation to sustain the competitive advantage. Value can be created by intangibles that are not always depicted in annual reports but are helpful to face financial shocks. The purpose of this study is to identify the impact of IC on financial vulnerability (FV) of pharmaceutical sector in Pakistan. Quantitative data collected from the annual reports of listed pharmaceutical sector in Pakistan to test the study empirically. Data is examined by using PLS-Graph version 3. IC efficiency is measured through value added intellectual coefficient (VAIC) model developed by Pulic (2000, 2004). FV is measured by using the vulnerability model introduced by Tuckman and Chang (1991). Results show consistency with expectations moreover, IC efficiency of pharmaceutical firms has significant impact on FV. This study extends the literature of FV with the combination of IC.
Group fairness equilibria Equilibrios de justicia de grupo

n Abstract: In this paper we extend Rabin’s (1993) model of fairness equilibria to groups of individuals and define a new solution concept we name “group-fairness equilibria. ” We model two games with two players, where each player in each game belongs to one of two groups. We analyze how the outcome of one game may affect the outcome of the other and how the existence of one individual with a particular grudge or liking towards the player she is playing with can impact the outcome of both games. We analyze some applications of our model.
The roles of intra-household gendered dominance in unmet need for family planning across Myanmar

Background: Unmet need for family planning in Myanmar (estimated 15.8% by the UN in 2017) is relatively high compared to other South East Asia countries. Moreover, Social Institutions and Gender Index in Myanmar is very high and cultural norms promote childbearing. Thus, this paper was conducted to examine role of intra-household gendered dominance (IHGD) in unmet need for family planning across Myanmar to set more effective intervention for family planning. Methods: The study utilized secondary data from 2015–2016 MDHS. Total 7,652 married women in reproductive age (MWRA) were included and 16% of them had unmet need for family planning. Binary Logistic Regression Analysis was conducted to examine the association of each explanatory variables with outcomes variables. Results: IHGD factors which are decision on women’s health and women’s attitude towards wife beating are significantly associated with unmet need. Moreover, socio-economic factors which are place of residence and women’s education level have significant impact on unmet need as well. Conclusion: Based on the findings of this study, the government of Myanmar should address dominance of social and cultural gender norms by conducting gender equality awareness campaign and family planning program should target to reach rural and uneducated women.
A Computational Method for the Analysis of Musical Improvisations by Young Children and Psychiatric Patients with No Musical Background

Improvisation is a common form of musical practice and yet remains the least studied or understood from a music analysis point of view. When populations with no musical background engage in musical improvisation (such as young children or patients in therapy settings) the analysis of the musical aspects becomes more challenging: The possible lack of common learned musical schemata and related technical skills requires the introduction of methods of analysis which can deal with these peculiarities. In this paper we propose a computational method for analysing such types of improvisations and apply it to the analysis of a small number of case studies. The analytical method is a type of semiotic analysis, where repetition, variation and transformation are brought forward. Musical parameters have to be defined, and a computational tool is built to reveal interesting patterns that repeat within the various musical parameters. The method is applied to the improvisations of six eightyear old children and two psychiatric patients with psychotic syndromes. For their improvisations they use the machine-learning based system MIROR-IMPRO, developed within the FP7 European Project MIROR, which can respond interactively, by using and rephrasing the user's own material. The results point towards the usefulness of more abstract types of representations and bring forward several general common features across these types of improvisations, which can be related to gestures.
Análises histopatológicas: porque demoram os resultados (Histopathological analysis: reasons for delayed results)

When the specimen received and the accompanying consultation request meet the laboratory's minimum standards, they may then enter the laboratory processing routine, initiating a complex series of events that culminates in the issuance of the final report. The authors describe and highlight the main events of the routine work associated with veterinary pathology wich includes gross and microscopic examination.
Evaluation of Sperm Quality and Serum Parameters in Sertraline-Exposed Mice and Protective Role of Vitamin E

J Babol Univ Med Sci; 22; 2020; PP: 1-8 Received: Feb 16 2019, Revised: Jun 3 2019, Accepted: Jun 23 2019. ABSTRACT BACKGROUND AND OBJECTIVE: Sertraline is one of the antidepressants whose effects on the reproductive system has faced controversial reports. This study was performed to evaluate the efficacy of vitamin E against sertraline-induced injuries on serum and sperm parameters. METHODS: In this experimental study, 40 adult male mice were divided into eight groups of 5. Four groups of mice received vitamin E at 100 international units per kg body weight via gavage for 42 days. In three of the above groups, sertraline was administered orally at 5, 10 and 20 mg/kg body weight four hours after receiving vitamin E. One group was considered as the control group. Twenty-four hours after the final treatment, blood samples were collected from the heart and sperm quality parameters including count, motility, viability, chromatin density, abnormal forms, and sperm DNA damage were measured. FINDINGS: Sertraline significantly increased abnormal sperm (25.8±2.04) and significantly decreased the count (30.2±2.77), motility (68.30±2.94), viability (75.4±3.20) and maturation (84.0±1.58) of sperm compared to control group (10.4±1.14, 39.6±2.07, 89.37±1.87, 92.6±3.71, and 97.4±1.14, respectively) (P<0.05). Vitamin E administration significantly improved abnormal sperm (17.8±2.28), count (37.2±1.92), motility (78.27±2.10), viability (83.2±2.38) and maturation (83.4±1.81) of sperm (p<0.05). CONCLUSION: The results of this study showed that vitamin E decreases the reproductive toxicity of sertraline in mice by improving serum and sperm parameters.
Antibacterial Properties of Ethanolic Extracts Obtained from Leaves of Some Thymus L. (Lamiaceae) Representatives Against Acinetobacter Baumannii

The Thymus L. is one of the most widely used genera in folk medicine, where it is popular for its stimulatory action on all organism functions. The purpose of this study was to evaluate the antimicrobial effects of five ethanolic extracts obtained from leaves of some Thymus L. representatives (Thymus serpyllum L., Th. pannonicus All., Th. × porcii Borbas, Th. pulegioides L., Th. alpestris Tausch ex A. Kern.) against Acinetobacter baumannii complex isolate, resistant to gentamicin and ciprofloxacin (specimen 3680, UK NEQAS). Freshly leaves were washed, weighed, crushed, and homogenized in 96 % ethanol (in proportion 1:19) at room temperature. The extracts were then filtered and investigated for their antimicrobial activity. Antimicrobial activity was determined using the agar disk diffusion assay. The present study has shown that ethanolic extracts obtained from leaves of Thymus species inhibited mild activity against A. baumannii. The mean diameter of inhibition zone for Th. serpyllum was (10.45 ±0.81) mm, for Th. pannonicus (10.82 ±0.63) mm, for Thymus x porcii (9.57 ±0.75) mm, for Th. pulegioides (10.54 ±0.52) mm, and for Th. alpestris (10.62 ±0.54) mm. It should be noted that the most antimicrobially effective plant against Acinetobacter baumannii was Thymus pannonicus. The present study lays the basis for future research, to validate the possible use of Thymus species as a candidate in the treatment of bacterial infections. The knowledge about the chemical profile of the extract will help in explaining the observed activity and designing experiments for activity fractionation for isolation of the active principle. The identification of precise molecular mechanisms addressing how these extracts inhibit bacterial growth needs to be explored.
Fabrication and characterization of vapor grown carbon nanofiber reinforced flexible polymer composites

Article history: Received 31 Jan 2019 Revised 08 Aug 2019 Accepted 13 Sep 2019 In this study, highly flexible polymer nanocomposites that can be stretched more than 9 times their original length were successfully fabricated by using poly [styrene-b-(ethylene-co-butylene)-b-styrene] (SEBS) and vapor grown carbon nanofibers (VGCNFs). Two different polymers were used in order to investigate the effects of the polymer molecular weight on viscosity, morphological and mechanical properties of the samples. Mixing was carried out by a planetary high shear mixer for various levels of VGCNFs and SEBS. Nanocomposites were prepared by the combination of solvent casting and compression molding. Viscosity measurements were carried out as a function of filler ratio for both polymers. Higher molecular weight and higher filler ratio led to higher viscosity. Morphological analysis showed homogeneous filler dispersion without any dominant filler orientation throughout the composites with good filler-matrix interface and absence of any pores or voids. Filler content and matrix molecular weight were found significant for mechanical properties. The mechanical strength and elastic modulus of the nanocomposites increased by the addition of VGCNF regardless of the polymer molecular weight. Nanocomposites fabricated by using higher molecular weight polymer showed better mechanical properties. Above mentioned attributes those belong to both polymer composites meet the requirements of flexible electronics and can be used for many applications including micro-electro-mechanical systems, conductive coatings, electromagnetic shielding applications, polymeric sensors and actuators.
Predicting the morphology of ice particles in deep convection using the super-droplet method: development and evaluation of SCALE-SDM 0.2.5-2.2.0/2.2.1

Abstract. The super-droplet method (SDM) is a particle-based numerical scheme that enables accurate cloud microphysics simulation with lower computational demand than multi-dimensional bin schemes. Using SDM, a detailed numerical model of mixed-phase clouds is developed in which ice morphologies are explicitly predicted without assuming ice categories or mass-dimension relationships. Ice particles are approximated using porous spheroids. The elementary cloud microphysics processes considered are advection and sedimentation; immersion/condensation and homogeneous freezing; melting; condensation and evaporation including cloud condensation nuclei activation and deactivation; deposition and sublimation; collision-coalescence, -riming, and -aggregation. To evaluate the model's performance, a 2D large-eddy simulation of a cumulonimbus was conducted, and the results well capture characteristics of a real cumulonimbus. The mass-dimension and velocity-dimension relationships the model predicted show a reasonable agreement with existing formulas. Numerical convergence is achieved at a super-particle number concentration as low as 128/cell, which consumes 30 times more computational time than a two-moment bulk model. Although the model still has room for improvement, these results strongly support the efficacy of the particle-based modeling methodology to simulate mixed-phase clouds.
NDT_A_202418 1605..1627

*These authors contributed equally to this work Background: Diagnosis of schizophrenia (SCZ) is made exclusively clinically, since specific biomarkers that can predict the disease accurately remain unknown. Machine learning (ML) represents a promising approach that could support clinicians in the diagnosis of mental disorders. Objectives: A systematic review, according to the PRISMA statement, was conducted to evaluate its accuracy to distinguish SCZ patients from healthy controls. Methods: We systematically searched PubMed, Embase, MEDLINE, PsychINFO and the Cochrane Library through December 2018 using generic terms for ML techniques and SCZ without language or time restriction. Thirty-five studies were included in this review: eight of them used structural neuroimaging, twenty-six used functional neuroimaging and one both, with a minimum accuracy >60% (most of them 75–90%). Sensitivity, Specificity and accuracy were extracted from each publication or obtained directly from authors. Results: Support vector machine, the most frequent technique, if associated with other ML techniques achieved accuracy close to 100%. The prefrontal and temporal cortices appeared to be the most useful brain regions for the diagnosis of SCZ. ML analysis can efficiently detect significantly altered brain connectivity in patients with SCZ (eg, default mode network, visual network, sensorimotor network, frontoparietal network and salience network). Conclusion: The greater accuracy demonstrated by these predictive models and the new models resulting from the integration of multiple ML techniques will be increasingly decisive for early diagnosis and evaluation of the treatment response and to establish the prognosis of patients with SCZ. To achieve a real benefit for patients, the future challenge is to reach an accurate diagnosis not only through clinical evaluation but also with the aid of ML algorithms.
OUTAGE PROBABILITY OF SELECTION COMBINING IN AN EXPONENTIALLY CORRELATED LOGNORMAL

Outage probability of selection combining (SC) in a correlated lognormal shadowing environment is studied. The uplink scenario is addressed and the shadowed signals at the base stations are assumed to be exponentially correlated. The result presented for such a correlation model is limited to three base stations. The effect of correlation on the outage probability is studied and the numerical results show that the outage probability is sensitive to the variations of the correlation coefficient in its entire range (0 ≤ ρ ≤ 1). The difference in the system performance from the outage probability perspective at the two limiting cases of zero and full correlation is up to two order of magnitude. Finally, the outage probability of SC diversity systems with two and three antennas are compared for different scenarios of practical interest.
3D Numerical Investigation of Ground Settlements Induced by Construction of Istanbul Twin Metro Tunnels with Special Focus on Tunnel Spacing

One of the most important considerations of tunneling in urban areas is controlling the amount of surface settlement that occurs during construction stages. The goal of this paper is to investigate the effect of spacing of Istanbul Twin Metro Tunnels on the surface settlement excavated by NATM method in YENIKAPI-UNKAPANI metro line. For this purpose, the focus has been placed on the effect of longitudinal and transversal spacing between tunnels supported by an umbrella arch protecting method. (FLAC3D) was implemented to simulate the excavation sequence. According to the analysis, the amount of settlement by numerical approach was about 23.5 mm which was in good agreement with the field monitoring results that was 26.5 mm. Moreover, the interaction between twin tunnels by the increase in spacing between twin tunnels in the direction perpendicular to tunnel axis decreases and becomes less effective at the location about 3 times of the tunnel diameter. Similarly, the interaction between twin tunnels in the direction parallel to tunnel axis decreases as the spacing increases. In other words, by increasing the distance between tunnel faces in longitudinal direction at a distance about 3 times of the tunnel diameter, there is still interaction between tunnels and it doesn’t disappear completely. Therefore, it is recommended to keep this distance at about more than 2.5 times of tunnel diameter so that settlement can stay within acceptable range.