Miracle-dz/UniFAR-FTUs huggingface dataset:
Diuretic Activity of Some Known Medicinal Plants: A Review

Diuretics are one of the important class of drugs, act within the kidney and promote the loss of fluid from the body. Mechanism behind diuretics is compound interfere with the reabsorption of electrolytes their by promote sodium, potassium, chloride excretion in the body. Now adays herbal medicine use becoming popular due to toxicity and side effects of allopathic medicines. Diuretic activity study mainly conducted in animals. Most commonly preferred in vivo method is Lipschitz method. Rats or mice are the most commonly used animals. Diuretic activity study concluded that majority of plant extract possess diuretic activity similar to standard drugs like furosemide and hydrochlorothiazide. Diuretic activity determined by measuring urine volume, osmolarity, concentration of electrolytes, and pH. This review summarizes the herbal medicine used as diuretics and their botanical characteristics, ethnobotany, distribution and diuretic activity study. This review provide knowledge regarding surrounding herbal medicine used as diuretic and their significance in quality of life.
The bar and spiral arms in the Milky Way: structure and kinematics

The Milky Way is a spiral galaxy with the Schechter characteristic luminosity L*, thus an important anchor point of the Hubble sequence of all spiral galaxies. Yet the true appearance of the Milky Way has remained elusive for centuries. We review the current best understanding of the structure and kinematics of our home galaxy, and present an updated scientifically accurate visualization of the Milky Way structure with almost all components of the spiral arms, along with the COBE image in the solar perspective. The Milky Way contains a strong bar, four major spiral arms, and an additional arm segment (the Local arm) that may be longer than previously thought. The Galactic boxy bulge that we observe is mostly the peanut-shaped central bar viewed nearly end-on with a bar angle of ∼ 25° – 30° from the Sun-Galactic center line. The bar transitions smoothly from a central peanut-shaped structure to an extended thin part that ends around R ∼ 5 kpc. The Galactic bulge/bar contains ∼ 30% – 40% of the total stellar mass in the Galaxy. Dynamical modelling of both the stellar and gas kinematics yields a bar pattern rotation speed of ∼ 35 – 40 km s−1kpc −1, corresponding to a bar rotation period of ∼ 160 – 180 Myr. From a galaxy formation point of view, our Milky Way is probably a pure-disk galaxy with little room for a significant merger-made, “classical” spheroidal bulge, and we give a number of reasons why this is the case.
Experimental study of nanocrystals as single photon sources

Les nanocristaux colloidaux synthetises par voie chimique sont des emetteurs de photons uniques tres prometteurs a temperature ambiante, grâce au fort confinement quantique induit par leur petite taille. Toutefois, leurs applications ont ete jusqu'ici limitees par deux problems: le scintillement de leur photo-luminescence et l’emission non polarisee. Ce manuscrit est consacre a l'etude des proprietes optiques d'un nouveau type de nanocristaux colloidaux, appeles dots-in-rod (DR), dans lequels un cœur spherique de CdSe est entoure par une coquille de CdS en forme de cylindre. Nous demontrons pour la premiere fois une suppression du scintillement dans des DRs a la coquille epaisse. Contrairement aux nanocristaux spheriques, nous montrons que cette suppression peut etre obtenue tout en conservant une bonne qualite de l'emission de photons uniques et un degre de polarisation lineaire tres eleve. Une caracterisation complete des proprietes optiques et optique quantique des DRs est realisee a temperature ambiante pour differents parametres geometriques. En particulier, nous avons developpe une technique originale pour evaluer la qualite d'un echantillon de nanocristaux comme sources de photons uniques, basee sur une mesure de photo-luminescence d'ensemble. Grâce a une etude en microscopie confocale des DRs a l'echelle individuelle, nous avons analyse l'influence de la taille du cœur et de l'epaisseur de la coquille et de sa longueur sur les proprietes de degroupement des photons, de duree de vie radiative et de polarisation de l'emission. Cette etude systematique apporte une contribution a la comprehension des processus d'interaction entre les porteurs confines dans les nanocristaux semi-conducteurs. L'interaction entre les recombinaisons radiative et non radiative et, en particulier, le role de l'effet Auger dans le scintillement de la photo-luminescence et dans l'emission de lumiere non-classique sont etudies en detail.
Peer bullying in students aged 11 to 13 with and without special educational needs in Extremadura (Spain)

ABSTRACT Bullying occurs in all countries where it has been studied, causing negative effects on victims such as anxiety, low self-esteem and even depressive pictures that hinder their integration into the school environment. In Spain, one of the first studies to address peer abuse as violent behaviour in the school context was that of the Ombudsman in 1999. This study has sought to address the incidence of bullying in students with and without SEN, from the perspective of victims, witnesses and aggressors, and has also sought to reveal the most relevant characteristics of bullying situations. To this end, a questionnaire adapted from the Ombudsman-UNICEF Questionnaire (2007) was used. The sample consisted of 1077 participants (51% of boys and 49% of girls) between 11 and 13 years of 34 compulsory education centres in the Autonomous Community of Extremadura (Spain). The Chi-Square test and the Mann–Whitney U test were used to analyse the difference for meanings below 0.05. The results confirm that students with SEN are more vulnerable to bullying by their peers.
Modeling and Hierarchical Structure Based Model Predictive Control of Cascaded Flying Capacitor Bridge Multilevel Converter for Active Front-End Rectifier in Solid-State Transformer

This paper introduces modeling and control of a cascaded flying capacitor bridge (CFCB) multilevel converter for a solid-state transformer. The finite control set-model predictive control (FCS-MPC) is easy and simple to implement for many applications. However, the computational complexity increases with the increase in the number of switches. Furthermore, as the number of control variables increases, the weighting factors also increase. Thus, it is difficult to apply to a system with a large number of switches and variables to be controlled similar to a CFCB multilevel converter. In this paper, the proposed method divides variables such as current, dc-link voltage, and flying capacitor voltage into layers. The proposed method reduces the number of states to be considered in the control, which shortens the computational time and simplifies expansion of the flying capacitor bridge. In addition, since weighting factors are not used, there is no tradeoff between current quality and voltage quality, and there is no difficulty in selecting weighting factors. Algorithms that include a method for compensating for the distortion caused by the delay of the digital control system are also described. The effectiveness of the proposed method is verified via experiments using a two-cell CFCB multilevel converter.
Der selbstoptimierende Fermenter basierend auf HPLC-Technologie

Das vorgestellte Projekt befasst sich mit der Entwicklung eines automatisch regulierten Bioreaktors. Dazu wurde eine UHPLC uber ein eigens entwickeltes Probenahmesystem an einen Bioreaktor gekoppelt. Die erfassten Analysendaten werden zusammen mit den Messdaten wie pH und pO2 zur Interpretation und Steuerung des Fermentationsprozesses ausgewertet. Nach einer „Anlernphase“ kann der Fermenter somit eigenstandig die Futterungssteuerung anpassen bzw. Induktionsprozesse starten. Als Beispielapplikation fur die Systementwicklung wurde Bacillus subtilis in Fed-Batch Kultivierungen gewahlt. Unter ungunstigen Milieubedingungen oder hoher Zelldichte findet die Bildung von Endosporen als Uberdauerungsform statt. Die Bildung der Endosporen soll mit dem entwickelten System kontrolliert und gezielt induziert werden.
ORGANIZATIONAL AND INFORMATIONAL SUPPORT FOR THE INTELLECTUAL CAPITAL MANAGEMENT MECHANISM OF MACHINE-BUILDING ENTERPRISES

1 Doctor of Science (Economics), Professor, Professor of the Management Department, Lviv State University of Internal Affairs, Lviv, Ukraine, e-mail: professor2007@ukr.net, ORCID: http://orcid.org/0000-00024045-669X 2 Ph.D. (Technical Sciences), Associate Professor Associate Professor of Computer Information Technology, Donbass State Machine-Building Academy, e-mail: getman_irina@ukr.net , ORCID: http://orcid.org/00000003-1835-4256 3 Ph.D. ( Economics), Lecturer of the Department of Medical Physics and Information Technologies, Donetsk National Medical University, e-mail: marina_d. a@ukr.net, ORCID: https://orcid.org/0000-0002-9952-4992 4 Teacher of Foreign Languages and Military Translation Department, Hetman Petro Sahaidachny National Army Academy; postgraduate of the Management Department, Lviv State University of Internal Affairs, Lviv, Ukraine, e-mail: liliia_kukharska@ukr.net; ORCID ID 0000-0002-8957-6983
The Activity of Fatty Acids Desaturases in Mild and Moderate ASTHMA

The inflammation is a key mechanism for the development of asthma. The initiation and the resolution of inflammation are mediated by n-3 and n-6 polyunsaturated fatty acids (PUFAs) and their metabolites. The violation of PUFA metabolism is accompanied by an imbalance in the regulatory mechanisms of the inflammatory process and contributes to its chronicity. The desaturase enzymes are of great importance in the chemical structure and functions of PUFAs. There are ∆5 desaturase (D5D or FADS1) and ∆6 desaturase (D6D or FADS2). It is known that the influence of desaturase enzymes on fatty acids is an essential factors in many diseases. The aim is to evaluate FADS1 and FADS2 activity in the blood in patients with mild and moderate asthma. Methods. This study included 19 patients with mild asthma, 21 patients with moderate asthma and 24 healthy people. PUFA levels were quantified by liquid chromatography-mass spectrometry. The enzyme activities were estimated as the product-to-substrate ratio: 20:4n-6/20:3n-6 for FADS1; 18:3n-6/18:2n-6 for FADS2. Results. A decrease in FADS1 and FADS2 activities in mild and moderate asthma patients has been shown. In mild asthma, FADS1 and FADS2 activities were 1.36 and 2 times lower, than in the control group. In moderate asthma, FADS1 and FADS2 activities were decreased in 1.8 and 4 times. Conclusion. Thus, asthma progression is accompanied by the decrease in the activity of FADS1 and FADS2. It may be a cause of the violation of PUFA metabolism and pro-resolving lipid mediator synthesis. One of the reasons of the reduction in desaturase activity may be FADS1 and FADS2 gene polymorphism. Further detailed research, including the gene studies, is needed.
Adsorption Characteristics of Chromium(VI) Ions onto Fe(III)-Coordinated Amino-Functionalized Poly(glycidylmethacrylate)-Grafted TiO2-Densified Cellulose

An investigation was conducted with a newly developed adsorbent, iron(III)- coordinated amino-functionalized poly(glycidylmethacrylate)-grafted TiO2-densified cellulose (Fe(III)-AM-PGDC) on the removal of chromium(VI) from aqueous solution. Batch experiments were performed under various conditions of time, pH, concentration, dose, ionic strength, and temperature. Adsorption of Cr(VI) on Fe(III)-AM-PGDC was dominated by ion exchange or outer-sphere complexation. The maximum adsorption capacity was found to be 109.76 mg g−1. Thermodynamic study showed that adsorption of Cr(VI) onto Fe(III)-AM-PGDC is more favored. The complete removal of Cr(VI) from electroplating wastewater was achieved by the adsorbent. The adsorbent did not lose its adsorption capacity even after the fourth regeneration.
EVALUATION STUDY OF LANTHANUM HALIDE DETECTORS (LABR3:CE , LACL3:CE, NAI(TL), (HPGE)

Through the use of thesources spectrums Na (S311.PH), Co (S297.PH), Ba (S295.PH), Cs (S296.PH) and Eu (S285.PH) the properties of Lanthanum Tri-Bromide (LaBr3:Ce) and Lanthanum Tri-Chloride (LaCl3:Ce) scintillation detectors were compared against Sodium Iodide (NaI(Tl)) scintillation and Hyper Pure Germanium (HPGe) semiconductor detectors. In all instances the HPGe detector was found to be superior, So, Hyper Pure Germanium detectors (HPGe) are outstanding devices for radioactivity spectroscopy. In addition the LaBr3:Ce and LaCl3:Ce detectors were always found to be superior to the NaI(Tl) detector.
Can Big Data Analytics Enhance Performance Measurement Systems?

Performance measurement systems are a critical element of managing performance. Despite the potential of big data analytics (BDA) to improve performance measurement systems (PMSs), its real impact is still not entirely clear. This paper investigates the potential of BDA to enhance PMSs. We use two short case studies to investigate such impact. The results show that descriptive and predictive analytics boost performance analysis. The use of external non-structured data challenges the companies regarding the data veracity. Business and operations management professionals should pay attention to both the employees’ capability in data science and data management. They are critical issues when seeking to enhance PMS using BDA.
Generation System of Dispatching Order Sheet for Distribution Network with Self Checking Function Based on Generative Countermeasure Network

Although the recent wave of artificial intelligence research led by deep learning has achieved very good results in the field of supervised learning. Unsupervised learning, as a method that can truly allow computers to learn from unlabeled real data from the real world, can avoid tedious and unavoidable data labeling work in supervised learning. If you want a computer to better understand the complex real world, the best way is to let the computer generate a representation of the real world in a certain way. The first thing needed to accomplish the above goals is the generative model. The most outstanding performance in generative models in recent years is the variational autoencoder and generative confrontation network introduced in this article. As an extension of the autoencoder, the former is a good combination of deep learning ideas and statistical learning. The high-dimensional distribution of the image can be reduced through the encoder network, and then the decoder network can be used to achieve low-dimensional Data distribution automatically generates an image similar to the original image. Therefore, in the subsequent improvement, the researchers took the advantages of combining the variational autoencoder and the generative confrontation network. The experimental results show that this paper has jointly trained VAE and GAN and achieved good results. However, due to the inherent shortcomings of the original generative adversarial network, the combination of the two still cannot achieve very good results.
Earnings Management and Managerial Honesty: The Investors’ Perspectives

Extant research shows that CEO characteristics and moral preferences affect earnings management. This paper studies how investors infer CEOs’ moral preferences from earnings management and how this perception – in conjunction with their own social and moral preferences – shapes their investment choices. We conduct two laboratory experiments simulating investment choices. Our results show that participants perceive a CEO to be more committed to honesty when they infer that the CEO engaged less in earnings management. For investment decisions, a one standard deviation increase in a CEO's perceived commitment to honesty compared to another CEO reduces the relevance of differences in the CEOs’ claimed future returns by 40%. This effect is most prominent among investors with a proself value orientation. To prosocial investors, their own honesty values and those attributed to the CEO matter directly, while returns play a secondary role. Overall, perceived CEO honesty matters to different investors for distinct reasons.
Emotion Recognition from Speech: An Unsupervised Learning Approach

Speech processing is quickly shifting toward affective computing, that requires handling emotions and modeling expressive speech synthesis and recognition. The latter task has been so far achieved by supervised classifiers. This implies a prior labeling and data preprocessing, with a cost that increases with the size of the database, in addition to the risk of committing errors. A typical emotion recognition corpus therefore has a relatively limited number of instances. To avoid the cost of labeling, and at the same time to reduce the risk of overfitting due to lack of data, unsupervised learning seems a suitable alternative to recognize emotions from speech. The recent advances in clustering techniques make it possible to reach good performances, comparable to that obtained by classifiers, with much less preprocessing load and even with generalization guarantees. This paper presents a novel approach for emotion recognition from speech signal, based on some variants of fuzzy clustering, such as probabilistic, possibilistic and graded-possibilistic fuzzy c-means. Experiments indicate that this approach (a) is effective in recognition, with in-corpus performances comparable to other proposals in the literature but with the added value of complexity control and (b) allows an innovative way to analyze emotions conveyed by speech using possibilistic membership degrees.
The Papanicolaou Society of Cytopathology Classification for Pulmonary Specimens : Application in Exfoliative Respiratory Cytology

Background: Cytologic examination of specimens obtained from the respiratory tract is the primary and frequently used diagnostic technique in patients with respiratory symptoms or in those presenting with a pulmonary abnormality. Lung carcinoma is the leading cause of mortality in India. Hence, early diagnosis and effective treatment are keys to prolong the survival of lung cancer patients. Methods:100 consecutive samples were taken which included 66 samples of bronchial wash, 27 samples of brush and 7 samples of bronchoalveolar lavage. These were viewed independently by two pathologists to study the ease of applicability, reproducibility and role of Papanicolaou Society of Cytopathology classification for pulmonary specimens. Result: The classification and terminology scheme recommend a six-tiered system comprising of non-diagnostic, negative, atypical, neoplastic (benign and neoplasms of low malignant potential), suspicious and positive for malignancy. In our study 43% were non-diagnostic, 33% were negative, 10% were atypical, 6% were suspicious for malignancy and 8% were malignant. Conclusion: This classification system of respiratory cytology is easy to apply and interpret with minimal inter-observer variation. Standardized classification and terminology system provide a framework for consistent inter-intra departmental and inter institutional communication of diagnostic, prognostic and management information needed for consistent and optimal patient care.
Finding a Single Molecule in a Haystack : Optical-Detection and Spectroscopy of Single Absorbers in Solids

Optical detection and spectroscopy of single tons in vacuum confined in electromagnetic traps1 have led to novel measurements that test our understanding of quantum physics. The detection and spectroscopy of a single absorber in a solid [single molecule detection (SMD)] would provide a useful tool for the study of local host- absorber interactions where the absorbing center is at rest, confined by the host lattice, and where the normal averaging over many equivalent centers is removed.
Effects of germination and cooking for enhanced in vitro iron, calcium and zinc bioaccessibility from faba bean, azuki bean and mung bean sprouts

To optimize germination time and heat treatments for enhanced availability of iron from leguminous sprouts, three legumes, namely faba, azuki bean and mung bean, were germinated for three periods followed by cooking of sprouts by two cooking methods, i.e. pressure cooking and microwaving. The optimized germination times were 36, 48 and 60 h for faba bean; 16, 20 and 24 h for azuki bean and 12, 16 and 20 h for mung bean. Soaking and germination significantly reduced the phytate in all three legumes, the percentage reduction being 13.7 to 14.8% during soaking and 45.2 to 50.1% during germination. The study concluded that the longer germination periods, i.e. 60 h for faba bean, 24 h for azuki bean and 20 h for mung bean, followed by pressure cooking for optimized times, resulted in better iron availability.
Chitosan films and chitosan/pectin polyelectrolyte complexes encapsulating silver sulfadiazine for wound healing

Background and Aims: The use of natural polymers as wound dressings is attracting more interest due to their favoured properties such as biodegradability and biocompatibility. With this background, chitosan films and chitosan/pectin polyelectrolyte complex films encapsulating silver sulfadiazine were fabricated as novel wound dressings. Methods: Films were fabricated, and the surface topography and the surface roughness of the films were characterised by atomic force microscopy. Swelling and hydrolytic degradation behaviours of the films were monitored, and surface chemistry analysis was carried out. Following drug release studies, release kinetics were studied to evaluate the films for drug delivery. Results: Results suggest that the characteristic crystalline structure of chitosan films disappears after complexation with pectin. Polyelectrolyte complex films were found to be more durable than chitosan films due to their improved resistance to hydrolytic degradation. No incompatibilities amongst formulation components were detected. In vitro drug release studies indicated a rapid release of the drug from chitosan films compared to polyelectrolyte complex films. Conclusion: The overall results suggest that chitosan/pectin polyelectrolyte complex films have improved properties in terms of durability compared to chitosan films. Both films could be a promising candidate for wound healing applications considering the specific needs of different types of wounds.
Research on Application Value of Computer Software Development in Java Programming Language

After the industrial revolution, the level of productivity has greatly improved, and the social economy has developed rapidly. At the same time, science and technology have also made rapid progress under the economic drive. As a product of modern science and technology, the Internet has made an indelible contribution to human society. In this context, the Java programming language based on computer software development has also entered people’s field of vision, and has received widespread attention. This article is to briefly introduce some of the origins, characteristics and main applications of the Java programming language in people’s production and life.
Blow-Up for a Periodic Two-Component Camassa-Holm Equation with Generalized Weakly Dissipation

In this paper we study a periodic two-component Camassa-Holm equation with generalized weakly dissipation. The local well-posedness of Cauchy problem is investigated by utilizing Kato’s theorem. The blow-up criteria and the blow-up rate are established by applying monotonicity. Finally, the global existence results for solutions to the Cauchy problem of equation are proved by structuring functions.