Complex Program Research Articles

Results of the Implementation of a Comprehensive Socio-Psychological Program to Foster Professional Empathy Among Professionals in the Helping Professions

The article presents the results of research on the empathy of policemen, rescuers, doctors and psychologists, as the best representatives among helpers. It also describes the qualitative and quantitative changes in the levels of empathy among these specialists after the implementation of a comprehensive socio-psychological program. The goal is the approval of a complex socio-psychological program for the formation of professional empathy among specialists in helping professions, in particular, police officers, rescuers, doctors and psychologists. To conduct the research, the following methods were used: psychodiagnostic technique “Diagnostics of the empathic abilities level” by V. Boiko, content analysis, and Wilcoxon t-criteria to determine statistically significant shifts. The results. On the basis of the conducted research, it was established that empathy undergoes positive changes under the influence of the proposed comprehensive social-psychological program. As we can see the t-Wilcoxon results showed statistically significant shifts at the p<0.01 and p<0.001 levels. Positive changes occurred among representatives of all studied professions, however, the highest rates of change were found among psychologists and police officers. Conclusions. Theoretical analysis shows that empathy is mostly considered as an emotional component of the personality, which often appears in a negative way for specialists of some professions. However, the empathy of rescuers, police officers, doctors and psychologists manifests itself through a behavioral component and contributes to the emergence of empathic actions. Therefore, the positive results of the implementation of a complex socio-psychological program allow us to insist on the effectiveness and feasibility of its application for other specialists in the field of helping professions.

Mathematical Justification of the Sports Selection of Jumpers in the Water at the Stage of Initial Training

The relevance of the problem is determined by the fact that an athlete who possesses genetic and physiological abilities that were discovered in time can master a complex jumping program and execute it without error at a high technical level. Therefore, it is important to mathematically substantiate the criteria for selecting children in sports schools. The Purpose of the Study: To determine indicators affecting sports readiness, to calculate their prognostic significance and to form criteria for the selection of jumpers in the water at the stage of initial training. Material and Methods: The research was organized in three stages in the period from January 2020 to December 2021, with the determination of the normative assessment of technical readiness, the conduct of an ascertaining pedagogical experiment and factor analysis, the calculation of multiple regression equations relative to the total coefficient of difficulty of arbitrary jumps and the average coefficient of the complexity of jumps. 139 boys (10,98±0,1 years; range: 9–13 years) and 96 girls (11,02±0,1 years; range: 9–13 years) beginners (schoolchildren) took part in the study. The number of athletes is divided by age groups: boys – 9 years old (n=25); 10 years (n = 30); 11 years (n = 30); 12 years (n = 31); 13 years old (n = 23); girls – 9 years old (n=16); 10 years (n=23); 11 years (n=18); 12 years (n=21); 13 years old (n=18). The study was organized and carried out with athletes of the Junior High School (Lviv) and «Yantar» Junior High School (Novoyavorivsk). During the educational and training meetings, testing and measuring of anthropometric indicators, determination of the speed of a simple sensorimotor reaction and conscious self-regulation of sensorimotor activity, research of vestibular stability were carried out. All measurements were taken before training in the morning and in the afternoon at 9:00 and 15:00. Results: According to the results of the study, the indicators that have prognostic significance for the success of the sport's improvement of young jumpers at the stage of improving their sports training have been determined. To these indicators, we included: the total indicator of physical fitness, the amplitude of nystagmus during and after turning to the right, the speed of a simple motor reaction. The comprehensive assessment obtained by calculating multiple regression equations has a high prognostic value and is an effective method of predicting the success of the sport's improvement of young jumpers at the stage of initial sports training. Conclusions. It is proved that the comprehensive assessment obtained by calculating multiple regression equations has a high prognostic value and is an effective method of predicting the success of the sport's improvement of young jumpers at the stage of initial sports training.

Structure and properties of fibrin/polyvinyl alcohol interpenetrating polymer network hydrogel as a modifying coating for small-diameter vascular grafts

Background: Interpenetrating polymer network (IPN) hybrid hydrogels enable regulating their properties by varying the composition and concentration of their components. Fibrin is an available natural polymer with ideal biological properties but low strength and tendency to retraction. Polyvinyl alcohol hydrogels are stable, comparable in strength to biological tissues but bioinert. Fibrin/polyvinyl alcohol (F/PVA) IPN can overcome the shortcomings of each component and create an improved material for tissue engineering.Objective: To assess the possibility of and conditions for obtaining a homogeneous IPN by subsequent fibrin polymerization and polyvinyl alcohol cryostructuring while preserving as much as possible mechanical and biological properties beneficial for tissue engineering.Methods: F/PVA IPN was obtained by subsequent fibrin polymerization (30 mg/mL) and polyvinyl alcohol cryostructuring (15, 30, and 60 mg/mL). We studied the structure using a scanning electron microscope, histology, infrared spectroscopy, and X-ray diffraction analysis. We tested mechanical properties and shrinkage of the samples. Biological features were assessed in vitro in terms of viability, cell count, proliferative and metabolic activity of EA.hy926 endothelial cell culture.Results: Our study found the maximum amount of fibrin on the surface of F30PVA15 IPN and its minimum amount on the surface of F30PVA60. These results were supported by the high biological appeal of F30PVA15 compared with F30PVA30 and F30PVA60. F30PVA60 hydrogels demonstrated shrinkage resistance compared to the template; F30PVA30 and F30PVA15 samples decreased by 1.4 and 2.5 times, respectively. Although the mechanical strength of all monocomponent hydrogels and IPN samples did not compare to that of the internal thoracic vein, F30PVA30 and F30PVA60 demonstrated better results than F30PVA15 and fibrin alone.Conclusion: Our method allows obtaining shrink-resistant IPN hydrogels with improved mechanical and tolerable biological properties at polyvinyl alcohol concentrations of > 15 mg/mL and < 60 mg/mL. However, the insufficient strength of this material limits its use in vascular engineering to a modifying coating. Received 25 January 2023. Revised 17 March 2023. Accepted 29 March 2023. Funding: This research was funded by the complex program of basic research under the Siberian Branch of the Russian Academy of Sciences within the basic research topic of Research Institute for Complex Issues of Cardiovascular Diseases No. 0419-2022-0001 “Molecular, cellular and biomechanical mechanisms of the pathogenesis of cardiovascular diseases in the development of new treatment methods based on personalized pharmacotherapy, minimally invasive medical devices, biomaterials and tissue-engineered implants”. Conflict of interest: The authors declare no conflict of interest. Contribution of the authorsConception and study design: V.G. Matveeva, M.A. RezvovaData collection and analysis: V.G. Matveeva, M.A. Rezvova, T.V. Glushkova, E.O. Krivkina, A.V. SergeevaStatistical analysis: V.G. Matveeva, M.A. Rezvova, T.V. Glushkova, A.V. SergeevaDrafting the article: V.G. MatveevaCritical revision of the article: V.G. Matveeva, M.A. Rezvova, L.V. Antonova, L.S. BarbarashFinal approval of the version to be published: V.G. Matveeva, M.A. Rezvova, T.V. Glushkova, A.V. Sergeeva, E.O. Krivkina, L.V. Antonova, L.S. Barbarash

Features of craniological signs of <i>Myodes glareolus</i> Schreber in the Kostroma Region

As part of the comprehensive monitoring of the state of the ecosystems of the Reserve Kologrivsky Les, studies of the Myodes glareolus Schreber population organization were conducted for eleven years (20122022). To compare the values of craniological signs of the control population, similar measurements were considered in rodents living on the territory of Minskoe forestry in the Kostroma Region (20212022). The paper provides data on the size and proportions of the skull of this species. Osteological indices characterizing the nutrition ecology of the studied populations and their craniometric appearance were calculated. The variability and correlation of 17 craniometric signs of Myodes glareolus was analyzed in order to diagnose the degree of optimality of conditions for the existence of this species populations, as well as to assess the state of the environment in complex biological monitoring programs. Data were obtained on the patterns of variability of metric and nonmetric features of the skull in a number of years, and the influence of the sex structure of the population, the dynamics of its population, weather and climatic factors on the determinism of craniological measurements was studied. Sexual dimorphism according to these parameters was expressed slightly. There was a positive correlation of signs in rodents living on the territory of the biosphere reserve as the most optimal habitat in comparison with the territory of Minskoe forestry in the Kostroma Region, where a negative correlation was predominantly revealed. A strong correlation was established between some craniometric features characterizing the specifics of nutrition, population density, average precipitation and average air temperature. In addition, weak correlations between the body weight of individuals and the dimensions of the skull were revealed. When studying the fluctuating asymmetry of non-metric features of the left and right sides of the upper and lower jaw, a low level of the FAnm coefficient was found in the studied populations. Dynamic changes in the level of fluctuating asymmetry of rodents were insignificant. A weak negative correlation of the fluctuating asymmetry and the values of the average precipitation during the study periods were established. No significant correlation was established for the other factors. The results of the presented comprehensive study of the craniometric features of Myodes glareolus on the territory of the Kostroma Region indicate a stable state of populations in the considered environmental conditions.

Long non-coding RNA mitophagy and ALK-negative anaplastic lymphoma-associated transcript: a novel regulator of mitophagy in T-cell lymphoma.

Long non-coding RNA (lncRNA) are emerging as powerful and versatile regulators of transcriptional programs and distinctive biomarkers of progression of T-cell lymphoma. Their role in the aggressive anaplastic lymphoma kinase-negative (ALK-) subtype of anaplastic large cell lymphoma (ALCL) has been elucidated only in part. Starting from our previously identified ALCL-associated lncRNA signature and performing digital gene expression profiling of a retrospective cohort of ALCL, we defined an 11 lncRNA signature able to discriminate among ALCL subtypes. We selected a not previously characterized lncRNA, MTAAT, with preferential expression in ALK- ALCL, for molecular and functional studies. We demonstrated that lncRNA MTAAT contributes to an aberrant mitochondrial turnover restraining mitophagy and promoting cellular proliferation. Functionally, lncRNA MTAAT acts as a repressor of a set of genes related to mitochondrial quality control via chromatin reorganization. Collectively, our work demonstrates the transcriptional role of lncRNA MTAAT in orchestrating a complex transcriptional program sustaining the progression of ALK- ALCL.

Update of the federal governmental statistical surveillance form № 3-DOZ “Data on patient doses from medical X-ray examinations”. Perquisites for the update

Analysis of levels of exposure of public of the Russian Federation by sources of ionizing exposure is one of main parts of the activities conducted by the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing. Data on the doses of public of the Russian Federation from medical exposure on facility, regional and federal levels is collected using the form of federal governmental statistical surveillance № 3-DOZ “Data on patient doses from medical X-ray examinations”, that is active since 2000. For the last 20 years there were no significant updates of the form № 3-DOZ. According to the decision of the Board of the Rospotrebnadzor from 11.09.2020, a complex program on update and modernization of form № 3-DOZ was initiated, that has resulted in the approvement of new form № 3-DOZ by the order of Rosstat № 880. The form has been significantly changed to reflect the modern condition of X-ray diagnostics in the Russian Federation. The aim of the current study was to analyze main components of medical exposure dose data collection system that required update and modernization. The study was performed based on the results of assessment of the forms № 3-DOZ from different medical facilities and regions in 2015-2020. The results of the study allowed developing main approaches to the update of the form № 3-DOZ that were implemented in a new edition of the form.

A Simple Approach to Incorporating STATCOM into a Newton-Based Power Flow and Optimal Power Flow Algorithms

Incorporating STATCOM into existing power flow (PF) or optimal power flow (OPF) algorithm usually requires the development of complex program codes to represent associated derivatives introduced by STATCOM power flow models. This procedure is time consuming as it may require various corrections of errors before having a suitable program that effectively solves the problem. To avoid this stress, an efficient way of incorporating STATCOM’s power flow models into an existing Newton-based PF and OPF algorithm is presented in this paper. These models introduce the magnitude and angle of the STATCOM’s source converter’s voltage as a state variable into the PF and OPF problem formulations. This work simply treats the STATCOM as a PV-bus with zero real power in existing PF and OPF algorithms. The proposed procedures were applied to a 5-bus test system and the results obtained were validated with similar works available in open literature. After a satisfactory performance, it was further applied to the 30-bus and 57-bus IEEE test systems. The results obtained show the effectiveness of the proposed procedures in voltage profile improvement. For example, the PF results show that the voltage magnitudes of the two buses with STATCOM in the 30-bus system were improved from 0.9881 pu and 0.9702 pu to 1.027 pu and 1.041 pu, respectively. Also, the OPF results show that the voltage magnitudes of the three buses with STATCOM in the 57-bus system were improved from 1.063 pu, 0.90 pu and 0.9683 pu to 1.039 pu, 0.9796 pu and 1.0144 pu, respectively.

Prospects for applying a theory of change model to the use of research evidence in autism education

Educators and educational researchers show continued interest in how schools can best make use of research evidence in bringing about change in practice in schools. A number of models have been developed to support schools in this challenge, such as research learning communities and lesson study. However, questions remain about the effectiveness of such models, their fit to the particular needs of schools and the extent to which they contribute meaningfully to the body of evidence used to inform changes to practice within the field of education. This issue is of particular relevance when considering the inclusion of autistic children in the classroom partly because of the large body of research being undertaken on autism across a range of domains with varying epistemological perspectives (e.g., neuroscience, psychology, pedagogy) and partly due to the widespread need to support autistic children in the classroom. Questions have also been raised about the evidence policy “agenda,” particularly in terms of reliance on positivist models centered on randomized controlled trials. These concerns focus on the extent to which performative or neoliberal perspectives on effectiveness might mask the complexity of how practice and knowledge (or evidence) are related in models of teacher professional working. One particular approach that could have potential in addressing these is that of Theory of Change (ToC). ToC models come from the field of theory-driven evaluation and draw on frameworks for relating practice to knowledge such as realist evaluations whereby the evaluation focuses on understanding how complex programs work in specific contexts by examining the mechanisms that lead to particular outcomes. ToC models consider under what conditions, for whom, and for what reasons or aims a given activity will achieve its intended outcomes. This paper considers the scope for the application of ToC models by reviewing a selected case from a completed study on the implementation of models for developing evidence informed practice in schools for autism education. By applying a ToC lens to what did happen in this case, we will “re-imagine” this case from a ToC perspective. This approach will serve to illustrate the possibilities for how ToC models could be used in future practice to advance evidence-informed practice in autism education.

Transcriptome profiling research in urothelial cell carcinoma

AbstractUrothelial cell carcinoma (UCC) is the ninth most common cancer that accounts for 4.7% of all new cancer cases globally. UCC development and progression are due to complex and stochastic genetic programs. To study the cascades of molecular events underlying the poor prognosis that may lead to limited treatment options for advanced disease and resistance to conventional therapies in UCC, transcriptomics technology (RNA‐Seq), a method of analyzing the RNA content of a sample using modern high‐throughput sequencing platforms has been employed. Here, we review the principles of RNA‐Seq technology and summarize recent studies on human bladder cancer that employed this technique to unravel the pathogenesis of the disease, identify biomarkers, discover pathways and classify the disease state. We list the commonly used computational platforms and software that are publicly available for RNA‐Seq analysis. Moreover, we discussed the future perspectives for RNA‐Seq studies on bladder cancer and recommended the application of a new technology called single‐cell sequencing to further understand the disease.

Energy-Efficient Data Transmission for Underwater Wireless Sensor Networks: A Novel Hierarchical Underwater Wireless Sensor Transmission Framework

The complexity of the underwater environment enables significant energy consumption of sensor nodes for communication with base stations in underwater wireless sensor networks (UWSNs), and the energy consumption of nodes in different water depths is unbalanced. How to improve the energy efficiency of sensor nodes and meanwhile balance the energy consumption of nodes in different water depths in UWSNs are thus urgent concerns. Therefore, in this paper, we first propose a novel hierarchical underwater wireless sensor transmission (HUWST) framework. We then propose a game-based, energy-efficient underwater communication mechanism in the presented HUWST. It improves the energy efficiency of the underwater sensors personalized according to the various water depth layers of sensor locations. In particular, we integrate the economic game theory in our mechanism to trade off variations in communication energy consumption due to sensors in different water depth layers. Mathematically, the optimal mechanism is formulated as a complex nonlinear integer programming (NIP) problem. A new energy-efficient distributed data transmission mode decision algorithm (E-DDTMD) based on the alternating direction method of multipliers (ADMM) is thus further proposed to tackle this sophisticated NIP problem. The systematic simulation results demonstrate the effectiveness of our mechanism in improving the energy efficiency of UWSNs. Moreover, our presented E-DDTMD algorithm achieves significantly superior performance to the baseline schemes.

WebMRI: Brain extraction and linear registration in the web browser

AbstractBackground and AimSince the initial release of the World Wide Web, the capabilities of web browsers have grown from presenting formatted documents to running complex programs, such as 3D game engines. The medical imaging community started to adopt technologies that came with the fifth major version of the HyperText Markup Language (HTML5). It led to the creation of various web-based radiological applications such as cornerstone.js or BrainBrowser. BrainBrowser supports both 3D and 2D rendering of neuroimaging data. However, it cannot run important image processing algorithms, such as brain extraction and linear registration, which are essential in most neuroimaging workflows. The most commonly used library that supports these algorithms is the FMRIB Software Library (FSL). We aim to build a web-based cross-platform neuroimaging platform that combines data visualization with image processing.MethodsWe built our system as an extension of BrainBrowser. We developed WebMRI in JavaScript and designed the user interface using HTML, CSS, and Bootstrap. We used Emscripten to port the brain extraction and linear registration tools of FSL to the web.ResultsWe built WebMRI, a fully web-based extensible neuroimaging platform that combines the visualization capabilities of BrainBrowser with the brain extraction and linear registration tools of FSL by porting them from C++ to WebAssembly. We extended BrainBrowser with a plugin system that makes it easy to bring other processing algorithms into the platform. We released the WebMRI source code on Github: https://github.com/wpmed92/WebMRI.ConclusionsWe developed and released WebMRI, a web-based cross-platform open-source neuroimaging platform.

The effect on computational thinking and identified learning aspects: Comparing unplugged smartGames with SRA-Programming with tangible or On-screen output

Learning basic concepts of programming resulting in a development on computational thinking (CT) can be reached by means of digital programming environments. As a counterpart, the application of unplugged programming activities seems also to have promising potential regarding the impact on CT. The main characteristic of unplugged programming is that it comprises activities without the use of information and communication technologies (ICT). Since previous research has shown that the application of sense-reason-act (SRA) programming with different types of output demonstrated a better understanding of underlying complex programming concepts with an impact on CT, our research investigates whether the application of unplugged programming, offered via SmartGames, can also generate such a distinctive impact on developing CT. To capture the effects of the different interventions applied, a mixed-methods study was conducted among primary school students aged ten to twelve. Research data were obtained by means of a pretest–posttest questionnaire survey using the validated Computational Thinking Test (CTt), and by conducting interviews to determine the effects of CT and to ascertain identifiable learning effects. Our research indicates that unplugged programming by applying SmartGames can be a consummate regarding the development of CT, similar to SRA-programming using either robotics with tangible output or robot simulations with on-screen output. The research findings identified support our claim that the application of unplugged SmartGames shows equivalent development on CT sub-characteristics in comparison with plugged-in SRA-programming with tangible or on-screen output. A better understanding of complex programming concepts and positive identified learning effects could only be partly demonstrated.

PHYSICO-CHEMICAL STUDIES OF RAW MATERIALS FOR OBTAINING PHOSPHORUS-CONTAINING FERTILIZERS

To date, accumulated industrial waste creates serious environmental problems in the regions. Therefore, their processing in order to obtain valuable products is an urgent task. As a result of the reduction electric smelting of phosphorite raw materials in the Novo-Dzhambul phosphorus plant, about 150-160 kg of cuttrel dust is formed per 1 ton of yellow phosphorus. The resulting cuttrel dust is considered as a secondary raw material, it can be used to obtain phosphoruscontaining mineral fertilizers, since the boiler dust contains a proportion of phosphorus and other useful components. The purpose of this work is the processing of phosphorus production waste - cuttrel dust with the use of sulfuric acid to obtain phosphorus-containing mineral fertilizers. Methodology. For the processing of cuttrel dust under experimental conditions, instrumental test methods were chosen using a scanning electron microscope (SEM) of the Jeol JSM-6490l V brand, a multi-parameter portable cyberscanner (PCD 650 Eutech) and a Q-1500 Derivatograph. Results. According to the results of microscopic studies, it was determined that the content of the main useful component in the cuttrel dust P2O5 in the range of 30-31%. The thermodynamic regularities of the process of decomposition of cuttrel dust with the help of a solution of sulfuric acid have been studied. The standard thermal effects of changes in the enthalpy, entropy and the value of the Gibbs energy of the system at a temperature of 333–363K were determined using the HSC-6 complex program. The methods of mathematical processing are considered in order to determine the reliability of the results of the experimental work. The optimal technological parameters of this process have been established and determined. Conclusion. A technology has been developed for obtaining phosphorus-containing monocalcium phosphate based cuttrel dust from the waste of the Novo-Dzhambul phosphorus plant using sulfuric acid solutions. The advantage of the resulting phosphorus-containing component is that it has a high solubility and absorption of phosphorus to plants. They are also characterized by a high content of phosphorus-containing substances, which ensure the growth and productivity of agricultural plants and plant resistance to environmental stress factors.

Blood pressure reduction in difficult-to-control patients and the effect of a nurse-led program in Bulgaria

Hypertension is a major contributor to cardiovascular morbidity and mortality. Although there has been significant improvement in blood pressure (BP) control during the last decades, it is still far from optimal. Several strategies for hypertension management have been proposed, and among all – nurse-led programs seem encouraging. AimTo evaluate the effect of a complex nurse program aiming to reduce BP in patients with uncontrolled hypertension. Patients and MethodsIn a cardiologist's office, a trained nurse included patients with uncontrolled hypertension and newly referred patients with high BP in a program for hypertension management. It consisted of patient education, assessment of quality of life, lifestyle advice, medication improvement and adherence stimulation. All patients were followed for 6 months and their BP, lifestyle indicators, and quality of life measurements were recorded. Statistical analyses included two- and one sample t-tests, chi-square test, correlation and multivariate linear regression. ResultsOverall, 47 patients, presenting with uncontrolled hypertension and with BP>140/90 mm Hg were included in this research. Their BP was reduced within 6 months by mean 30 /11 mm Hg and after 6 months, from 162/88 to 133/77 mm Hg. The drop of BP values was present at the first month with mean BP 140/82 mm Hg. Control of hypertension improved from 2% to 55% at the 1st month mark and to 79% at the 6th month, p<0.0001. The decrease in SBP was positively correlated to decrease in waist circumference, p = 0.47, p = 0.009. In multivariate linear regression analysis, the difference in BP was significantly related to self-assessment health scoring and marginally significant with renal impairment. ConclusionsThe development of a complex nurse-led program, tailored to patients with uncontrolled hypertension, leads to significant positive effect on BP decrease and improves hypertension control in primary care. This may be cost effective and improve BP control in low- to middle-income countries.

Simplified evaluation of the ultimate strength of RC circular members subjected to axial force, bending moment and shear force

The paper proposes a simple analytical tool for the evaluation of the shear strength of reinforced concrete circular, solid or hollow, slender columns endowed with shear reinforcement and subjected to axial force, bending moment and shear force. The proposed method considers the sole beam action by means of simplified stress fields and simultaneously satisfies the equilibrium under the above combined internal forces. The paper identifies basic points in the N-M-V ultimate interaction curve and describes the procedures for the evaluation of the internal forces of these points as well as the procedures for the evaluation of the internal forces of the points in between. The method is first applied to a set of circular solid columns with different geometric and mechanical properties and a comparison is drawn between the shear resistance resulting from the simplified method and that from a more complex non-linear mathematical programming problem proposed in the past by one of the authors. Then, to demonstrate the value of the method and define the field of its accurate application, the proposed method is applied to circular (solid or hollow) columns tested in laboratory by other researchers. Finally, the results of the proposed method are compared with those of some code formulations.

Promising Markers of Inflammatory and Gut Dysbiosis in Patients with Post-COVID-19 Syndrome.

Post-COVID-19 syndrome is a complex of different symptoms, which results in a multisystemic impairment after the suffering from COVID-19 infection. The aim of the study was to reveal the clinical, laboratory, and gut disorders in patients with post-COVID-19 syndrome (n = 39) before and after taking part in the 14-day complex program of rehabilitation. A complete blood count, coagulation test, blood chemistry, biomarkers, and metabolites in serum samples, and gut dysbiosis were revealed in patients on the day of admission and after 14-day rehabilitation, in comparison with the variables of healthy volunteers (n = 48) or with reference ranges. On the day of discharge, patients noted an improvement in respiratory function, general well-being, and mood. At the same time, the levels of some metabolic (4-hydroxybenzoic, succinic, fumaric acids) and inflammatory (interleukin-6) variables, which were increased on admission, did not reach the level of healthy people during the rehabilitation program. Taxonomy disbalance was observed in patients' feces, namely, a high level of total bacterial mass, a decrease in the number of Lactobacillus spp., and an increase in pro-inflammatory microorganisms. The authors suggest that the post-COVID-19 rehabilitation program should be personalized, considering the patient's state together with not only the baseline levels of biomarkers, but also with the individual taxonomy of the gut microbiota.

Context Sensitivity without Contexts: A Cut-Shortcut Approach to Fast and Precise Pointer Analysis

Over the past decades, context sensitivity has been considered as one of the most effective ideas for improving the precision of pointer analysis for Java. Different from the extremely fast context-insensitivity approach, context sensitivity requires every program method to be analyzed under different contexts for separating the static abstractions of different dynamic instantiations of the method’s variables and heap objects, and thus reducing spurious object flows introduced by method calls. However, despite great precision benefits, as each method is equivalently cloned and analyzed under each context, context sensitivity brings heavy efficiency costs. Recently, numerous selective context-sensitive approaches have been put forth for scaling pointer analysis to large and complex Java programs by applying contexts only to the selected methods while analyzing the remaining ones context-insensitively; however, because the selective approaches do not fundamentally alter the primary methodology of context sensitivity (and do not thus remove its efficiency bottleneck), they produce much improved but still limited results. In this work, we present a fundamentally different approach called Cut-Shortcut for fast and precise pointer analysis for Java. Its insight is simple: the main effect of cloning methods under different contexts is to filter spurious object flows that have been merged inside a callee method; from the view of a typical pointer flow graph (PFG), such effect can be simulated by cutting off (Cut) the edges that introduce precision loss to certain pointers and adding Shortcut edges directly from source pointers to the target ones circumventing the method on PFG. As a result, we can achieve the effect of context sensitivity without contexts. We identify three general program patterns and develop algorithms based on them to safely cut off and add shortcut edges on PFG, formalize them and formally prove the soundness. To comprehensively validate Cut-Shortcut’s effectiveness, we implement two versions of Cut-Shortcut for two state-of-the-art pointer analysis frameworks for Java, one in Datalog for the declarative Doop and the other in Java for the imperative Tai-e, and we consider all the large and complex programs used in recent literatures that meet the experimental requirements. The evaluation results are extremely promising: Cut-Shortcut is even able to run faster than context insensitivity for most evaluated programs while obtaining high precision that is comparable to context sensitivity (if scalable) in both frameworks. This is for the first time that we have been able to achieve such a good efficiency and precision trade-off for those hard-to-analyze programs, and we hope Cut-Shortcut could offer new perspectives for developing more effective pointer analysis for Java in the future.

Hypothesizing an algorithm from one example: the role of specificity.

Statistical machine learning usually achieves high-accuracy models by employing tens of thousands of examples. By contrast, both children and adult humans typically learn new concepts from either one or a small number of instances. The high data efficiency of human learning is not easily explained in terms of standard formal frameworks for machine learning, including Gold's learning-in-the-limit framework and Valiant's probably approximately correct (PAC) model. This paper explores ways in which this apparent disparity between human and machine learning can be reconciled by considering algorithms involving a preference for specificity combined with program minimality. It is shown how this can be efficiently enacted using hierarchical search based on identification of certificates and push-down automata to support hypothesizing compactly expressed maximal efficiency algorithms. Early results of a new system called DeepLog indicate that such approaches can support efficient top-down construction of relatively complex logic programs from a single example. This article is part of a discussion meeting issue 'Cognitive artificial intelligence'.

Networking in Academic Medicine: Keeping an Eye on Equity.

Networking in Academic Medicine: Keeping an Eye on Equity.

A SURVEY ON AUTOMATIC CODE GENERATION USING IMAGE MOCK-UPS

The idea is to use mock-ups as a way of designing the user interface of a complex program. The most complicated part of the software project is arguably writing the code to model the mock-up. So rather than spending time coming up with an algorithm to take care of the details, we use automatic code generation based on an action, objects relation, an optional default screen view. Deep learning models which transform image mock-ups of graphical user interface (GUI) to a program. It taken place by four steps object detection, object cropping, object recognition, program builder. This are used to build the websites, mobile application and software for the particular use. While in the stage of object identification the cropped components are labeled by CNN trained model.