ASPECTS OF FINANCIAL EQUILIBRIUM ANALYSIS AND ITS IMPLICATIONS IN MANAGEMENT DECISIONS

Considering the impact of risk factors in the economic environment, this study provides to all users of financial information a possible pattern for analyzing the financial equilibrium, designed to clarify the importance of dynamic analysis of indicators characterizing the financial equilibrium of an enterprise, expressed on absolute values, especially for managers in decision-making on future work, aimed at achieving pre-established strategic and tactical objectives. Practice has shown that the management cannot be based on intuition and routine but on a scientific analysis, on a thorough knowledge of the existing situation, as well as on the identification of vulnerabilities and opportunities for development. In order to promote a rational policy concerning business growth and achieving economic and financial satisfactory results, the company’s management grants a special importance to the financial diagnosis. The support of financial analysis is the balance sheet that allows developing financial diagnosis on the financial equilibrium conditions and creditworthiness, objectives that allow the evaluation of the independence of the firm and its market value

eXamine: a Cytoscape app for exploring annotated modules in networks

Background. Biological networks have growing importance for the interpretation of high-throughput "omics" data. Statistical and combinatorial methods allow to obtain mechanistic insights through the extraction of smaller subnetwork modules. Further enrichment analyses provide set-based annotations of these modules. Results. We present eXamine, a set-oriented visual analysis approach for annotated modules that displays set membership as contours on top of a node-link layout. Our approach extends upon Self Organizing Maps to simultaneously lay out nodes, links, and set contours. Conclusions. We implemented eXamine as a freely available Cytoscape app. Using eXamine we study a module that is activated by the virally-encoded G-protein coupled receptor US28 and formulate a novel hypothesis about its functioning

Expressing high-level scientific claims with formal semantics

The use of semantic technologies is gaining significant traction in science communication with a wide array of applications in disciplines including the life sciences, computer science, and the social sciences. Languages like RDF, OWL, and other formalisms based on formal logic are applied to make scientific knowledge accessible not only to human readers but also to automated systems. These approaches have mostly focused on the structure of scientific publications themselves, on the used scientific methods and equipment, or on the structure of the used datasets. The core claims or hypotheses of scientific work have only been covered in a shallow manner, such as by linking mentioned entities to established identifiers. In this research, we therefore want to find out whether we can use existing semantic formalisms to fully express the content of high-level scientific claims using formal semantics in a systematic way. Analyzing the main claims from a sample of scientific articles from all disciplines, we find that their semantics are more complex than what a straight-forward application of formalisms like RDF or OWL account for, but we managed to elicit a clear semantic pattern which we call the "super-pattern''. We show here how the instantiation of the five slots of this super-pattern leads to a strictly defined statement in higher-order logic. We successfully applied this super-pattern to an enlarged sample of scientific claims. We show that knowledge representation experts, when instructed to independently instantiate the super-pattern with given scientific claims, show a high degree of consistency and convergence given the complexity of the task and the subject. These results therefore open the door on the longer run for allowing researchers to express their high-level scientific findings in a manner they can be automatically interpreted. This in turn will allow for automated consistency checking, question answering, aggregation, and much more

Periodontal Medicine: Impact of Periodontal Status on Pregnancy Outcomes and Carcinogenesis

Periodontal medicine is a broad term commonly used to define the relationship between periodontitis and systemic health. Periodontitis is a highly prevalent, chronic multifactorial infectious disease, induced by the dysbiotic biofilm that triggers a persistent systemic inflammation and recurrent bacteremia. There is a growing body of scientific evidence that suggests the potential implication of periodontitis in the causation and progression of various systemic disease and conditions, such as diabetes, cardiovascular disease, pulmonary disease, adverse pregnancy outcomes and cancer. Some studies consider periodontitis as an independent risk factor for preterm birth, growth restriction, low birth-weight and pre-eclampsia. However not all studies support the association. Despite sparse scientific data, some studies indicate that individuals with periodontitis are at increased risk for cancer development, due to the increased inflammatory burden sustained by the presence of periodontal pathogens. This chapter emphasis the relationship between periodontitis and adverse pregnancy outcomes and the underlying mechanisms that link peridontitis to oral carcinogenesis

Periodontitis and Heart Disease: Current Perspectives on the Associative Relationships and Preventive Impact

Due to the important advancement and the accumulation of new evidence on the periodontitis-cardiovascular disease (CVD) relationship as well as the major medical, economic and social burden caused by both diseases this chapter aims to review existing epidemiological and pathogenetic links related to this topic. Also, this chapter aims to highlight the impact of the periodontitis-CVD relationships on clinical practice and on the preventive approaches targeting to decrease the impact of periodontitis on CVD. Periodontitis is an infectious disease eliciting local and general inflammation, which leads to periodontal destruction and systemic involvement. Several pathways could explain the link between periodontitis and CVD such as bacteraemia, chronic persistent systemic inflammation and oxidative stress. The first step in the treatment of periodontitis addresses the elimination of microbial components, which lead to a decrease in local and systemic inflammation. Periodontal therapy seems to positively impact CVD. Specialists should inform patients with CVD on the negative impact of periodontitis on their systemic status and refer patients to the periodontist for an extensive examination as routine management of CVD. Some possible risks of periodontal therapy should be considered in patients undergoing antithrombotic medication

VALUE OF THE NET TREASURY AND ITS IMPLICATIONS ON THE FINANCIAL STABILITY OF THE COMPANY

Practice proved that the management process cannot be based on routine and intuition, but on scientific analysis, on deep knowledge of the actual situation, as well as on identifying the vulnerabilities and the development opportunities. The economic and financial analysis performed by means the net treasury has the role of using the information supplied by accounting, based on which conclusions will be drawn on the efficiency of the activity performed within an entity. The importance of the net treasury arises from the fact that it shows the amount of liquid assets of an entity at a certain moment in time, being connected to the short-term financial operations, the purpose of which is to ensure the resources necessary to finance the company’s economic activity. The net treasury synthetically reflects the method of achieving financial stability within the company on long and short term. Our endeavour ends by determining the strengths and the weaknesses in the activity of a trading company, as well as the measures that are to be applied on short and on long term in order to achieve the present objectives

METODE DISKUSI DALAM PEMEBELAJARAN KITAB KUNING KLASIK DALAM PENINGKATAN KETERAMPILAN MEMBACA

AbstracDiscussion Method On Learning Classical Books to Improving ReadingSkills. Essay. Muhammad AhsanulHusna. The yellow book is a classic bookthat written by scholars' salaf, and use arabic language, without harakat(punctuation), without a description of the local language.Compiled inbrownish yellow sheets, containing various scientific disciplines, bothreligious and non-religious, among boarding schools. The method mostclsssical of yellow book learning is known as the Bandongan term, which isto sharpen the yellow text with a beard meaning and written by Arabic Pegonas a local language. Kyai told directly to students, and satri wrote what wassaid by the Kyai. This learning system is a monologue, there is no directdialogue with the santri, except the explanation of Kyai that related with theyellow book that is being read.Key words: Learning Classic Books, Improving Reading SkillsAbstrakMetode Diskusi Dalam Pemebelajaran Kitab Kuning Klasik DalamPeningkatan Keterampilan Membaca. Essay. Muhammad Ahsanul Husna.Kitab kuning adalah kitab klasik yang ditulis oleh para ulama’ salaf, yangdituangkan dalam bahasa Arab, tanpa harakat (tanda baca), tanpa keteranganbahasa lokal. Disusun dalam lembaran-lembaran berwarna kuningkecokelatan, berisi berbagai disiplin ilmu pengetahuan, baik keagamaanmaupun non keagamaan, diajarkan dikalangan pondok pesantren. Medotepembelajaran kitab kuning paling klasik dikenal dengan istilahBandongan,yaitu mengasahi teks kitab kuning dengan makna jenggot bertuliskan ArabPegon dalam ejaan bahasa lokal setempat. Disampaikan secara langsung olehKyai dihadapan para santri, yang menulis apa yang diucapkan oleh Kyai.Sistem pembelajaran ini monolog, tidak terjadi dialog dengan santri secaralangsung, kecuali penjelasan Kyai yang berhubungan dengan teks kitabkuning yang sedang dibaca.Kata Kunci: Pemebelajaran kitab kuning Klasik, Keterampilan Membac

Linkflows Model for fine-grained reviewing

An ontology for granular and semantic reviewing

Claims dataset

This repository contains the scientific claims that make up dataset A (50 claims) and dataset B (25 claims) from randomly selected articles from Semantic Scholar. These are used in the Expressing High-Level Claims with Formal Semantics article