Miracle-dz/UniFAR-FTUs huggingface dataset:
DECISIONAL TREE MODELS FOR LAND COVER MAPPING AND CHANGE DETECTION BASED ON PHENOLOGICAL BEHAVIORS. APPLICATION CASE: LOCALIZATION OF NON-FULLY-EXPLOITED AGRICULTURAL SURFACES IN THE EASTERN PART OF THE HAOUZ PLAIN IN THE SEMI-ARID CENTRAL MOROCCO

Abstract. Great effort has been recently employed for the development of a modern and competitive agriculture in Morocco, growth in the agricultural sector is determined largely through the realization of thousands of new projects, and the support of the smallholder farmers at a national scale. Modernization of irrigation systems, and enlargement of the extent and spatial distribution of irrigated areas holds the key to increase annual productions. In this context, we established a unique procedure for monitoring the agricultural surfaces not fully exploited in terms of potential and production, in the semi-arid zone of the Haouz plain, central Morocco. We derived Normalized Difference Vegetation Index (NDVI) time series from Sentinel-2 (S2) and Landsat 8 (L8) high spatial resolution satellite images from 2016 to 2018. Seasonal phenological changes and land-cover dynamics, in addition to elevation models and landscape slopes, helped determine periods and thresholds suitable for classes separability, and establish a set of rules to be implemented in a Decision tree classifier model for a detailed land-cover mapping of the last three years. The agricultural zone was successfully separated from mountains and hills, and the derived maps of the three years yielded satisfying result with an OAthat reached above 91% for quite detailed landscape-type information. The outputs of this work hold promise to provide valuable information for planners, decision-makers and regional offices, to help smallholder farmers. Although this approach has been developed at regional-scale, it holds the potential to be adapted to larger scales, with the appropriate selection of land-cover types, and carful adjustment in the threshold values.
Patients with heart failure and a LVEF less than 40% present an overall lower health related quality of life than those with LVEF between 40% and 60%: a multinational real-world survey in EU

Heart Failure (HF) is associated with symptoms such as dyspnoea and fatigue which can impact patients' health related quality of life (HRQoL). This study aimed to characterize and assess the HRQoL of patients with HF and left-ventricular ejection fraction (LVEF) <40% versus those with ≥40%-60%. A cross-sectional study of patients with HF was conducted in France, Germany, Italy, Spain and United Kingdom. Patient record forms (PRFs) were completed by 257 cardiologists and 158 general practitioners (GPs) for consecutively consulting patients. The same patients were invited to provide patient-reported outcomes including self-completion questionnaires, Minnesota Living with Heart Failure Questionnaire (MLHFQ) and EQ-5D-5L VAS. 204 HF patients with LVEF <40% (mean age 67.7 years) and 600 patients with LVEF ≥40–60% (mean age 68.9 years) were included. Proportion of males was significantly higher in the lower LVEF group (73.5% vs. 61.2%, p=0.0017). Overall, the patients with lower LVEF more frequently presented with comorbidities than those with LVEF ≥40–60% (p<0.05, Figure 1). NYHA stage III/IV (35.8%/7.4% vs. 15.3%/0.8%) as well as self-reported HF symptoms were more frequently reported in the lower LVEF group (p<0.05, Figure 1). Similarly, patients with LVEF <40% reported statistically significantly worse HRQoL compared to those with LVEF ≥40–60% (Table 1). The HRQoL of all HF patients with LVEF ≤60% appears impacted, while those with LVEF <40% had significantly worse HRQoL than those with LVEF ≥40–60%. These differences in HRQoL may not only be related to the LVEF but also to the overall characteristics of these patients. Addressing the HRQoL burden for patients should be a key aspect of HF management strategies for all HF patients. Type of funding source: Private company. Main funding source(s): Novartis Pharma AG
A Critical Review of Aqueous Solubilities, Vapor Pressures, Henry’s Law Constants, and Octanol–Water Partition Coefficients of the Polychlorinated Biphenyls

Relationships between the environmentally relevant physical chemical properties of the polychlorinated biphenyls, namely, aqueous solubility, vapor pressure, Henry’s law constant, and octanol–water partition coefficient are discussed. Reported experimental data are tabulated and critically reviewed. Recommended values are given for 42 of the 209 congeners; however, procedures are suggested for estimating the properties of the other congeners. Properties of mixtures are not treated.
Entrepreneurial universities and innovative behavior: the impact of gender diversity

ABSTRACT Whereas the impact of entrepreneurial universities is rather well understood, the underlying mechanisms that foster and accelerate university innovation outcomes are much less clear. Besides institutional factors, especially individual characteristics of scientists may decisively influence the quality of university outcomes. The purpose of this paper is to investigate the impact of gender diversity on university innovation outcomes across all three university missions, i.e. teaching, research and the commercialization of knowledge. The results of this study suggest that gender diversity positively affects university innovation outcomes in the context of universities’ mission implementation, yet follows an inverted U-shape. Whereas a higher share of female scientists seems to be particularly conducive for innovative behavior with regard to teaching and research activities, male scientists seem to be better able to produce radical innovations, i.e. transfer new knowledge from academia towards the market. The findings further suggest that there seems to be a certain threshold in that a minimum level of gender diversity is necessary to drive augmented innovative behavior within universities. Based on these findings, recommendations for university managers and policy makers are derived as well as future avenues of research are outlined.
Biopesticides in Sustainable Agriculture: Current Status and Future Prospects

Intensive application of synthetic pesticides was the routine practice of commercial agriculture during the Green Revolution to boost agricultural productivity to meet global food demand. Alongside this, the application of chemical pesticides caused adverse effects on the environment and its ecoreceptors including human health. Negative externalities arising from conventional farming instigated the call for sustainable development during the sixties to promote and balance the nexus between socially acceptable economic growth and environmental protection. Consequently, a blueprint of 17 Sustainable Development Goals (SDGs) and 169 targets including ecological stewardship and food security was drafted. Eight out of the 17 SDGs are directly linked to sustainable agriculture based on the direct impact of agriculture, judicious use of critical resources and conservation and the Principles of green chemistry. As a green chemical agent, biopesticides have been shown to have the potentials to substitute chemical pesticides with equal agricultural productivity. The adoption of bio-based pesticides via integrated pest management (IPM) has proven to be the most effective option to influence most dimensions of sustainable agriculture. Therefore, biopesticide-driven IPM if utilized with requisite education, skills and research would boost sustainable agriculture. This chapter reviews the prospects, importance, and limitations of biopesticides to sustainable agriculture and how sustainable agriculture is connected to sustainable development, Green Chemistry, and integrated pest management.
Assessing the Change and Continuity in the Social Organization and Practices among the Kore of Southwestern Ethiopia

This study was aimed at assessing the change and continuity in the social organization in Ethiopia taking an example of Kore society, among the Amaro of southwestern Ethiopia. Qualitative research methodology was applied to describe the issue under consideration. The researcher tried to define social organization features and several of its associated components and their linkages. The study examines the way conquest and modernization deteriorated the social organization of the indigenous communities of Kore. It also tries to see the role of other factors like the missionary activities and the adherence of socialism by Ethiopian state as contributors.
Mental Disorder Detection via Social Media Mining using Deep Learning

Mental disorders are a disease that cannot be physically seen, so diagnosing someone with a mental disorder is not easy. Due to the imperceptible nature of mental disorders, diagnosing a patient with a mental disorder is a challenging task. Therefore, detection in people with mental disorders can be done by looking at the symptoms they experience. One symptom in patients with mental disorders is solitude. Patients with mental disorders feel indifferent to their environment and focus on what is happening to them. Therefore, the patient looks for a place that can accommodate his feelings. Twitter is one of the most widely used media in measuring one's personality through everyday statements. The symptoms as suggested by psychologists can be explored more broadly using Natural Languages Processing. In this case, it takes a lexicon containing keywords that can show symptoms of depression. This study uses five criteria as a measure of mental health in a statement: sentiment, basic emotions, the use of personal pronouns, absolutist words, and negative words. The results show that the use of sentiments, emotions, and negative words in a statement is very influential in determining the level of depression. A depressed person more often uses negative words that indicate his self-despair, prolonged sadness, even suicidal thoughts (e.g. "sadly”, “scared”, “die”, “suicide”). In the classification process, using LSTM Deep Learning obtained an accuracy of 70.89%; precision of 50.24%; recall 70.89%.
Entamoeba Histolytica Cohabiting Colonic carcinoma -A rare case report

Chief Consultant Gastroenterologist, SR Kalla Memorial Gastro and General Hospital, Jaipur, India Cheif Consultant Histopathologist, SR Kalla Memorial Gastro and General Hospital, Jaipur, India Consultant Pathologist, SR Kalla Memorial Gastro and General Hospital, Jaipur, India Consultant Gastroenterologist, SR Kalla Memorial Gastro and General Hospital, Jaipur, India Consultant Radiologist, SR Kalla Memorial General Hospital, Jaipur, India Consultant Anesthesiologist, SR Kalla Memorial Gastro and General Hospital, Jaipur, India Gastro Surgeon, SR Kalla Memorial Gastro and General Hospital, Jaipur, India
Antimicrobial activity of essential oils from Lippia sidoides, Ocimum gratissimum and Zingiber officinale against Aeromonas spp.

ABSTRACT The aim of this study was to evaluate the antimicrobial activity of Lippia sidoides, Ocimum gratissimum and Zingiber officinale‘s essential oils against Aeromonas spp. isolates from Colossoma macropomum, and to determine their chemical composition. Essential oils were obtained through hydrodistillation and their chemical composition analyzed using gas chromatography coupled to mass spectrometry. The antimicrobial activity of the oils was evaluated by minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC). The major compounds were thymol (76.6%), p-cymene (6.3%) and (E)- β-caryophyllene (5.0%) in L. sidoides; eugenol (43.3%), 1,8-cineole (28.2%) and β-selinene (5.5%) in O. gratissimum; and geranial (23.2%), neral (16.7%) and 1,8-cineole (15.8%) in Z. officinale. All the essential oils evaluated showed bactericidal action against isolates of Aeromonas spp. , with MIC and MBC ranging from 625 to 5,000 μg mL−1. We highlight the L. sidoides oil with the best antimicrobial activity (MIC and MBC ranging from 625 to 1,250 μg mL−1).
Diffusion in CO2 up to 150‐Atmospheres Pressure

Diffusion coefficients have been obtained for the system CO2–C14O2 up to 150 atmospheres pressure and from 0°‐45°C. The coefficients are consistent with theory up to a density of 0.067 g/cc. In the range from 0.067–0.70 g/cc the coefficients are higher than predicted by theory. This may be attributed to a reduced collision diameter due to orientation of the nonspherical molecules. At higher densities the experimental coefficients are lower than the theoretical ones. This is expected as the theory breaks down at these high densities. At densities above 0.65 g/cc no measurable temperature coefficient of D was obtained. This may be explained by increased orientation at lower temperatures and in the liquid state.
Child Right- Based Approach Dalam Peningkatan Self- Esteem Anak Usia Sekolah Dasar

This study aims to determine the Child-Right Based Approach in increasing Self-Esteem of elementary school aged children. This research is a qualitative research which is literature study or library research. Child Right-Based Approach in increasing self-esteem of elementary school age children: a) non-discrimination; the shortcomings of the child do not make the child lose his / her rights; b) the right to survival and development; c) the child's right to participate in decision making can increase children's self-esteem; 4) child-friendly laws
Noise Modeling to Build Training Sets for Robust Speech Enhancement

The performance of Deep Neural Network (DNN)-based speech enhancement models degrades significantly in real recordings because the synthetic training sets are mismatched with real test sets. To solve this problem, we propose a new Generative Adversarial Network framework for Noise Modeling (NM-GAN) that can build training sets by imitating real noise distribution. The framework combines a novel U-Net with two bidirectional Long Short-Term Memory (LSTM) layers that act as a generator to construct complex noise. The Gaussian distribution is adapted and used as conditional information to direct the noise generation. A discriminator then learns to determine whether a noise sample is from the model distribution or from a real noise distribution. By adversarial and alternate training, NM-GAN can generate enough recall (diversity) and precision (quality of noise) in its samples for it to look like real noise. Afterwards, realistic-looking paired training sets are composed. Extensive experiments were carried out and qualitative and quantitative evaluation of the generated noise samples and training sets demonstrate that potential of the framework. An Speech enhancement model trained on our synthetic training sets and on real training sets was found to be capable of good noise suppression for real speech-related noise.
Genome-wide identification of sucrose nonfermenting-1-related protein kinase (SnRK) genes in barley and RNA-seq analyses of their expression in response to ABA treatment

Background: Sucrose nonfermenting-1 (SNF1)-related protein kinases (SnRKs) play important roles in regulating metabolism and stress responses in plants, providing a conduit for crosstalk between metabolic and stress signalling, in some cases involving the stress hormone, abscisic acid (ABA). The burgeoning and divergence of the plant gene family has led to the evolution of three subfamilies, SnRK1, SnRK2 and SnRK3, of which SnRK2 and SnRK3 are unique to plants. Therefore, the study of SnRKs in crops may lead to the development of strategies for breeding crop varieties that are more resilient under stress conditions. In the present study we describe the SnRK gene family of barley (Hordeum vulgare), the widespread cultivation of which can be attributed to its good adaptation to different environmentsResults: The barley HvSnRK gene family was elucidated in its entirety from publicly-available genome data and found to comprise 50 genes. Phylogenetic analyses assigned six of the genes to the HvSnRK1 subfamily, 10 to HvSnRK2 and 34 to HvSnRK3. The search was validated by applying it to Arabidopsis (Arabidopsis thaliana) and rice (Oryza sativa) genome data, identifying 50 SnRK genes in rice (four OsSnRK1, 11 OsSnRK2 and 35 OsSnRK3) and 39 in Arabidopsis (three AtSnRK1, 10 AtSnRK2 and 26 AtSnRK3). Specific motifs were identified in the encoded barley proteins, and multiple putative regulatory elements were found in the gene promoters, with light-regulated elements (LRE), ABA response elements (ABRE) and methyl jasmonate response elements (MeJa) the most common. RNA-seq analysis of the roots of seedlings grown with and without ABA treatment showed that many of the genes responded to ABA, some positively, some negatively and some with complex time-dependent responses.Conclusions: The barley HvSnRK gene family is large, comprising 50 members, subdivided into HvSnRK1 (6 members), HvSnRK2 (10 members) and SnRK3 (34 members), showing differential positive and negative responses to ABA.
Carabus Population Response to Drought in Lowland Oak Hornbeam Forest

Forest management practices and droughts affect the assemblages of carabid species, and these are the most important factors in terms of influencing short- and long-term population changes. During 2017 and 2018, the occurrences and seasonal dynamics of five carabid species (Carabus coriaceus, C. ulrichii, C. violaceus, C. nemoralis and C. scheidleri) in four oak hornbeam forest stands were evaluated using the method of pitfall trapping. The climate water balance values were cumulatively calculated here as cumulative water balance in monthly steps. The cumulative water balance was used to identify the onset and duration of drought. The number of Carabus species individuals was more than three times higher in 2018 than in 2017. Spring activity was influenced by temperature. The extremely warm April in 2018 accelerated spring population dynamics; however, low night temperatures in April in 2017 slowed the spring activity of nocturnal species. Drought negatively influenced population abundance, and the effect of a drought is likely to be expressed with a two-year delay. In our investigation, a drought in 2015 started in May and lasted eight months; however, the drought was not recorded in 2016, and 2016 was evaluated as a humid year. The meteorological conditions in the year influenced seasonal activity patterns and the timings of peaks of abundance for both spring breeding and autumn breeding Carabus species.
LABORATORY DIAGNOSTIC CRITERIA OF RENAL IMPAIRMENT IN PREMATURE NEWBORNS WITH SEVERE PERINATAL PATHOLOGY

Introduction: Critically ill neonates are at high risk of developing renal impairment (RI), including acute kidney injury (AKI), which is associated with short- and long-term pathological outcomes and increased mortality. The incidence of acute kidney injury varied by gestational age (GA) group. Aim: Identify laboratory diagnostic criteria of RI in premature newborns (PNs) with different GA who had severe heterogeneous perinatal pathology. Methods: The study was a prospective cohort of patients admitted electively to the III level Neonatal Intensive Care Unit at the Clinical Maternity Hospital 2 (Chernivtsi, Ukraine) between December 2015 and January 2018. One hundred sixty three PNs were treated at the hospital, from which a total of 68 patients were recruited into the study. Inclusion criteria: the GA is more than 24 weeks and less than 37 weeks; birth body weight is more than 500 g and less than 2500 g; presence of clinical signs of severe perinatal pathology. The severity of the perinatal pathology was classified on the basis of the neonatal Therapeutic Intervention Scoring System. The PNs were divided into three groups according to the GA: Group I consisted of 25 newborns born at the GA of 24-31 weeks, Group II – 25 newborns born at the GA 32-33 weeks, Group III – 18 newborns were born in a GA of 34-36 weeks. The levels of sodium, potassium, calcium and chlorine, alanine aminopeptidase, and aspartate aminopeptidase were measured in serum. The levels of creatinine and urea were measured in serum and urine. The concentration of total protein, albumin, α1-microglobulin, and β2-microglobulin was measured in urine. Findings and results: All PNs had signs of severe perinatal pathology and a neonatal Therapeutic Intervention Scoring System score of 10 or higher during the early neonatal period. There was no statistically significant difference in most serum biochemical parameters between groups of the study, excluding the level of serum chlorine. Our results demonstrated no significant difference in levels of urinary total protein and albumin between groups of the study, but showed a progressive increase the level of urinary creatinine and urea with increasing GA. The maximum level of urinary β2-microglobulin was found in “Late-Preterm” newborns who were born at 34-36 weeks, the minimal level of urinary α1-microglobulin was detected in patients with GA 32-33 weeks. Conclusions: Our results demonstrated that most PNs with severe perinatal pathology have some aspects of impaired tubular and glomerular functions. This is evidenced by changes in urinary new biomarkers. We found direct correlations between GA and serum creatinine (r=0.31, p<0.05), urinary creatinine (r=0.40, p<0.05), urinary α1-microglobulin (r=0.37, p<0.05), and urinary β2-microglobulin (r=0.51, p<0.05). Longer longitudinal cohort studies on PNs are required to determine the prognostic and diagnostic criteria of RI in these patients.
Clinical Pharmacology and Therapeutics of Antiepileptic Drugs

This article describes clinical antiepileptic drugs (AEDs) that are available for treatment of epilepsy. Epilepsy is characterized by repeated occurrence of seizures. Epileptic seizures are classified into focal onset (partial) and generalized onset (generalized) types. Around two-dozen AEDs are available for treating epilepsy. AEDs act on diverse molecular targets to selectively modify the abnormal excitability of neurons by reducing the focal seizure discharges or preventing spread of excitation. AEDs suppress seizures by blocking the voltage-gated sodium channels (phenytoin, carbamazepine, valproate, lamotrigine, oxcarbazepine, topiramate), voltage-activated calcium channels (ethosuximide, gabapentin), potentiation of GABA inhibition (barbiturates, benzodiazepines, tiagabine), and reduction of glutamate excitation (felbamate, parampanel). Carbamazepine, phenytoin, and valproate are the first-line agents for partial onset seizures and generalized onset seizures. Ethosuximide is the drug of choice for absence seizures. AEDs are orally-active and show unique PK features. Some AEDs cause enzyme induction and hence produce drug-drug interactions. Newer AEDs such as gabapentin, levetiracetam, tiagabine, and pregabalin do not cause enzyme induction. Despite many advances in AEDs, nearly 30% of people with epilepsy have drug-resistant or intractable seizures. Presently, there is no cure for epilepsy. Thus, newer and better AEDs that can better prevent refractory seizures and modify the disease are needed for curing epilepsy.
Analysis of Emotional Evolution of Emergent Events Network Based on Spatial Measurement

I study the temporal and spatial evolution of network emotions in emergencies, and provide decision support for public opinion guidance. This paper uses python to compile a crawler to obtain the comment information of Weibo, calculates its network sentiment value based on the naive Bayes classifier, uses spatial analysis methods and the SAAR spatial measurement model system, and analyzes the temporal and spatial pattern evolution and spatial agglomeration of network sentiment Characteristics, and further reveals its influencing factors and complex spatial correlation. At the same time, there is a spatial spillover effect of online emotions, and the intensity of comments and public opinion has a promoting effect on it, while geographical distance has an obvious inhibitory effect on it. Online emotions have regional differences. Disaster management departments can use this difference to more efficiently identify emotionally hot areas from social media data, so as to take timely response measures.