Proper Order Research Articles

Interprofessional work in the network for social intervention. Possibilities and limitations (El trabajo interprofesional en red para la intervención social. Posibilidades y limitaciones)

ABSTRACT Coordinated work among the professionals involved is increasingly necessary in response to the social-educational needs of a region. This contribution analyses the case of an interprofessional network (XAFIR) of more than 130 professionals in the city of Barcelona, working to improve social and educational assistance to children and their families. A simple instrumental-type case study is used to identify the determining factors for the proper working order of a network of this type. The analysis covers 52 questionnaires, 16 interviews and two focus groups, gathering information from professionals, users and policymakers. The results show that an interprofessional network endures over time when it has established common objectives, has a formal organizational structure and working order and when backed by the institutional commitment of the services and entities that form part of it. The challenge is to establish shared workspaces where knowledge can be generated and that can have an influence on the improvement of the actions of the professionals of the network.

SEMI-MARKOV RELIABILITY MODELS

Traditional technologies for reliability analysis of semi-Markov systems are limited to obtaining a stationary state probability distribution. However, when solving practical control problems in such systems, the study of transient processes is of considerable interest. This implies the subject of research - the analysis of the laws of distribution of the system states probabilities. The goal of the work is to obtain the desired distribution at any time. The complexity of the problem solving is determined by the need to obtain a result for arbitrary distribution laws of the duration of the system's stay in each state before leaving. An easy-to-implement method for the analysis of semi-Markov reliability models has been suggested. The method is based on the possibility of approximating probability-theoretic descriptions of failure and recovery flows in the system using the Erlang distribution laws of the proper order. The developed computational scheme uses the most important property of Erlang flows, which are formed as a result of sieving the simplest Poisson flow. In this case, the semi-Markov model is reduced to the Markov one, which radically simplifies the analysis of real systems.

Deep linear graph attention model for attributed graph clustering

Attributed graph clustering is an important task for grouping the nodes in a graph. In recent years, the algorithms based on graph convolutional networks (GCN) have achieved promising performance. However, almost all existing methods ignore that the nonlinearity between two consecutive GCN layers is unnecessary for improving the performance of attributed graph clustering, and may even harm the efficiency of the model. In this paper, we propose a novel deep linear graph attention model for attributed graph clustering (DLGAMC), which consists of an attention-based aggregation module and a similarity preserve module. Specifically, we simply exploit cosine similarity to construct the attention for aggregation, which does not need to learn extra attention parameters. It is worth noting that the attention we designed not only explicitly considers the similarity of attribute information, but also implicitly takes into account the local graph structure. To select the proper order of aggregation, we propose an adaptive strategy to evaluate the smoothness of node representations, where intra-cluster distance and inter-cluster distance are the key indicators in this process. To learn node representations for clustering, we design a similarity preserve module to preserve local similarity and global dissimilarity of the smooth features obtained by multiple aggregations, which is different from the ideas in reconstruction-based methods. Finally, k-means is performed on the learned representations to obtain the cluster partition. Experiments on several datasets show that our algorithm achieves great performance in attributed graph clustering tasks.

The Bible as Holy Scripture

The modern era has brought new elements to bear on the Doctrine of Holy Scripture: the centrality of Revelation and the character of the Bible as narrative. The first and second Vatican Councils exhibit these traits as much as do Karl Barth and Post-liberal theologians. This essay argues that the governing motif for a Doctrine of Scripture should be writing rather than speaking or disclosing, and Instruction rather than story. The pressure exerted by these modernist preoccupations has re-centered and deformed the proper weight and ordering of Scripture, diminishing Torah, elevating the Prophetic (historical) books, and bringing a Messianic reading of Scripture into sole possession of canonical interpretation. Paying close heed to Scripture's own self-identification as writing, as Book, brings the Five Books of Moses (the Pentateuch) to its proper place as head of the Scriptures, and places the New Testament as written text as proper complement to the Old.

Impact of Educational Intervention on The Knowledge of Epidemiology, Prevention and Control of Rabies Among Paramedical Students, Taxilla

Objective: To assess the knowledge of epidemiology, transmission, prevention and control of rabies and to find the effect of an educational intervention in paramedical students of HITEC-IMS, Taxilla.
 Study Design: Quasi-experimental study.
 Place and Duration of Study: HITEC-IMS, Taxilla, from Mar to Sep 2019.
 Methodology: Study was carried out among paramedical students enrolled in 2 years diploma course in HITEC-IMS, Taxilla. Students were included by non-probability consecutive sampling.
 Results: Out of the total of 89 participants, the fatality of rabies was identified by 63 (70.8%) respondents in pre-test and by 84 (94.4%) respondents in post-test (p<0.001). Less than half of the participants knew about bats as a reservoir of rabies (22, 24.7%) in pre-test that raised to 59 participants (66.3%) in post-test (p<0.001). The proper sequence of protocol for postexposure prophylaxis (PEP) in un-vaccinated persons was identified by 42 (47.2%) respondents with an improvement of 27% in post-test (p<0.001). Proper order of rabies post-exposure prophylaxis (PEP) vaccine schedule in humans were identified by 16 (18.0%) respondents with an improvement of 6% in post-test (p=0.031).
 Conclusion: Knowledge of reservoir, mode of transmission, prevention and control of rabies after educational intervention showed a significant increase in the students.

Spectres of Clock Evolution: Past, Present, and Yet to Come.

Circadian clocks are phylogenetically widespread biological oscillators that allow organisms to entrain to environmental cycles and use their steady-state phase relationship to anticipate predictable daily phenomena – such as the light-dark transitions of a day – and prepare accordingly. Present from cyanobacteria to mammals, circadian clocks are evolutionarily ancient and are thought to increase the fitness of the organisms that possess them by allowing for better resource usage and/or proper internal temporal order. Here, we review literature with respect to the ecology and evolution of circadian clocks, with a special focus on cyanobacteria as model organisms. We first discuss what can be inferred about future clock evolution in response to climate change, based on data from latitudinal clines and domestication. We then address our current understanding of the role that circadian clocks might be contributing to the adaptive fitness of cyanobacteria at the present time. Lastly, we discuss what is currently known about the oldest known circadian clock, and the early Earth conditions that could have led to its evolution.

Gurdjieff Theologos

G. I. Gurdjieff (1877[?]–1949) left a system of integrated ideas and practices which can provide promising fresh perspectives on stubborn theological conundrums, including teachings on God and the devil, angelic orders, creation, the soul, life-after-death, reincarnation and recurrence, free-will and determinism, the proper order of human life, and divine justice. Here I focus on Gurdjieff’s ideas on suffering. Radically reframing the standard position, for Gurdjieff, God is not omnipotent, rather, the meaning of human life found in the possibility of helping God in the maintenance of the universe by transforming suffering. Thus, independently of the will of God, suffering is ineluctable; hence God and humanity are involved in the struggle with it. I then consider the practical aspects of his ideas on suffering: suffering providentially demands a response; a conscious response then transforms suffering, to the benefit of the sufferer and of the Creation.

Phase synchronization and measure of criticality in a network of neural mass models

Synchronization has an important role in neural networks dynamics that is mostly accompanied by cognitive activities such as memory, learning, and perception. These activities arise from collective neural behaviors and are not totally understood yet. This paper aims to investigate a cortical model from this perspective. Historically, epilepsy has been regarded as a functional brain disorder associated with excessive synchronization of large neural populations. Epilepsy is believed to arise as a result of complex interactions between neural networks characterized by dynamic synchronization. In this paper, we investigated a network of neural populations in a way the dynamics of each node corresponded to the Jansen–Rit neural mass model. First, we study a one-column Jansen–Rit neural mass model for four different input levels. Then, we considered a Watts–Strogatz network of Jansen–Rit oscillators. We observed an epileptic activity in the weak input level. The network is considered to change various parameters. The detailed results including the mean time series, phase spaces, and power spectrum revealed a wide range of different behaviors such as epilepsy, healthy, and a transition between synchrony and asynchrony states. In some points of coupling coefficients, there is an abrupt change in the order parameters. Since the critical state is a dynamic candidate for healthy brains, we considered some measures of criticality and investigated them at these points. According to our study, some markers of criticality can occur at these points, while others may not. This occurrence is a result of the nature of the specific order parameter selected to observe these markers. In fact, The definition of a proper order parameter is key and must be defined properly. Our view is that the critical points exhibit clear characteristics and invariance of scale, instead of some types of markers. As a result, these phase transition points are not critical as they show no evidence of scaling invariance.

Intensity and regimes changing of hydrodynamic cavitation considering temperature effects

Venturi-type cavitation reactors still appear as the most promising candidates for industrial-scale production due to their cheapness and ease of construction, scaling, and replicability. The effects of temperature on hydrodynamic cavitating flows in a Venturi section are investigated to find the optimum reacting conditions enhancing cavitating treatment intensity. The flow conditions are varied with 4 different flow rates and a wide range of temperatures between 28 ℃ to 63 ℃. Results show that both the cavitation length and the transition between sheet and cloud cavitation regimes are influenced by a combination of the pressure drop (indicated by the cavitation number σ), the inertial/viscous effects (controlled by the Reynolds number Re), and the thermal effect (indicated by the thermodynamic parameter Σ). As the temperature is elevated, both the cavitation length and thickness increase first, and then decrease. The cavitation intensity peaks at a transition temperature of 58 ℃. With the increase of cavitation length and thickness, the regimes tend to switch earlier from the attached sheet cavity to periodical cloud shedding, and the shedding frequency decreases accordingly. When the temperature is progressively increased, the changing of cavitating flow structures is illustrated through Proper Order Decomposition analysis. This study allows us to understand the instability, size evolution, shedding regime transition of partial cavities considering thermodynamic effects. Recommendations are provided to beer-brewing, biodiesel production, or water treatment industries that working under a 55 ℃ to 60 ℃ temperature range will attain the highest cavitation intensity.

Improvised multi-factor user authentication mechanism using defense in depth strategy with integration of passphrase and keystroke dynamics

As the technology has emerged, the need for computer systems and computer networks has increased, and so has the requirement for authentication been escalated. Multi-Factor Authentication has been used since the past decade and still is the best type of authentication available to us today. The only disadvantage is the type of factors being used in the multi factor architecture and mechanism. If better and complex factors are not engaged in proper order or sequence in any multi-factor authentication, it can jeopardize the information systems and result in data, especially the digital identity of user, being compromised. On the note for improving authentication systems, the proposed work introduces a 3 factor authentication system with 3 levels of security. Each level being more secure than the last one, thus implementing a defense in depth strategy. Every level uses different factor for the purpose of authentication. The factors being used in the mechanism include a 4 digit passcode, passphrase, and keystroke dynamics. These factors are considered to be economical and easy to integrate in multi factor authentication. Further, the proposed work’s security strength has been evaluated with the help of Shannon’s entropy theory and is compared with other recent works on multi factor authentication. The proposed work is sought to provide a multi factor authentication mechanism which is economical and provides robust security in this emerging technological era.

A Study of Multicast Routing Protocols Based MOSPE and DVMRP

Today’s networks are designed to reliably transmit traffic such as data from point to point i.e., unicasting, or from point to multipoint i.e., broadcasting. Multimedia places further demands on the network. First of all, multimedia traffic, such as audio or video, cannot tolerate delays in delivery like those tolerable by plain data transfer applications. Multimedia requires that data packets arrive on time and in the proper order at the client-side. Real-time protocols and quality of service guarantees addresses this issue. Furthermore, multimedia requires transmitting a large amount of traffic over the network and thus uses far more of the network’s bandwidth than in the case of those basic network operations. Multicasting offers a far more efficient way of transmitting such traffic over the Internet than unicasting or broadcasting ever would. The subject of this paper addresses the issue of efficient routing of such multicast traffic.

Timing Aspects in Causality Analysis with Multilevel Flow Modelling

Temporal aspects of multilevel flow modelling (MFM) are important for reasoning about causes and consequences. In particular real time reasoning about sensor data are dependent on proper temporal ordering of events in order to cope with plant dynamics. The purpose of the present paper is to contribute to the further development of the temporal aspects of MFM by explaining how time stamps associated to the measured signals can be used to enhance the causality analysis and infer the possible causes of a sequence of alarms.

Multiobjective Parallel Algorithms for Solving Biobjective Open Shop Scheduling Problem

Open Shop Scheduling Problem (OSSP) is one of the most important scheduling problems in the field of engineering and industry. This kind of problem includes m machines and n jobs, each job contains a certain number of operations, and each operation has a predetermined processing time on its corresponding machine. The order of processing of these operations affects the completion times of all jobs. Therefore, the purpose of OSSP is to achieve a proper order of processing of jobs using specified machines, so that the completion time of all jobs is minimized. In this paper, the strengths and limitations of three methods are evaluated by comparing the results of solving the OSSP in large‐scale and small‐scale benchmarks. In this case, the minimized completion time and total tardiness are considered the objective functions of the adapted methods. To solve small‐scale problems, we adapt a mathematical model called Multiobjective Mixed Linear Programming (MOMILP). To solve large‐scale problems, two metaheuristic algorithms including Multiobjective Parallel Genetic Algorithm (MOPGA) and Multiobjective Parallel Simulated Annealing (MOPSA) are adapted. In experimental results, we randomly generated small‐scale problems to compare MOMILP with the Genetic Algorithm (GA) and Simulate Annealing (SA). To compare MOPSA and MOPGA with the state of the art and show their strengths and limitations, we use a standard large‐scale benchmark. The simulation results of the proposed algorithms show that although the MOPSA algorithm is faster, the MOPGA algorithm is more efficient in achieving optimal solutions for large‐scale problems compared with other methods.

Fratelli tutti: Toward a Community of Fraternity with the Wounded Women

This article expands on Pope Francis’s vision of a community of fraternity. This community is one in which people support each other, identify with each other’s vulnerability, bear one another’s burdens, and embrace collective salvation. Although Francis takes steps forward in considering violence against women, a proper order to which a community of fraternity must turn requires that one draw much more from local narratives of injustice against women. This task can guide the Church’s orthopraxis on women’s suffering, which should consider how psychological or sociopolitical factors doubly wound women, especially in contexts of war and conflict. The effects of these wounds should inform the idea of imputability and responsibility for action regarding absolute moral laws. The article includes narratives affirming Francis’s call for mercy to be put first in accompanying wounded women, who become the locus theologicus on the suffering Christ.

A Historical Review on Theories of Sequential Learning in Music and Related Documents for Textbooks from Late Qing Dynasty to 1970’s Reform in China

It has been an appealing topic in the academic and practical fields pertaining music education that music learning should obey a proper sequence in regard of contents and skills so that children will be allowed to learn music in the way suitable to their mental and physical growth without abrupt encounters causing frustration and extra difficulty. This means that sequential learning in music involves two facets, requiring music educators to be careful when dealing with curriculum and textbooks. One is to pay attention to the general logic of music to be learned as a school subject – from the easy to the difficult, from the near to the remote, from the surface to the inner sophisticated, from the sensational experiences to the intellectual understanding or abstract thinking, etc. Since early ages of human endeavors, educators have been expressing opinions about this issue; some were concerned with general orientations while others provided specific strategies which might be applied to the learning of school subjects. Among these giant people, Confucius expressed his conclusions about the former, and with latter pertaining to music, the learning sequence seemed to be cared in two lines. One was practical exploration in real setting doing curriculum design for schooling, while the theoretical construction was carried out systematically by a few scholars among whom Edwin Gordon stood out as the most eminent. This article touched these two lines of work by tracing back from ancient Chinese classics to the “<i>Great Didactic</i>” established by Comenius, the founder of modern theory for school teaching. All these men contributed significantly to the ideas and conceptions for a proper order or sequence for learning, including learning in music to certain extend. In addition to the early ideas and modern theories on this topic, this article found that from late Qing dynasty (1904) to early Reform time (1979) in China, a practical endeavor pursuing sequential learning in music was consistently carried out and written by generations of music educators in more than a dozen of official education documents in the forms of national standards or syllabus for school music. Because sequential learning is a strong factor which inevitably influences the logical layout of music textbooks and the way of teaching and learning thereafter, a historical review seems necessary to run through these education documents to depict some experiences and lessons for the national curriculum design and textbook development of today.

Covid-19: The Nexus Between Community Lockdown and Upsurge in Crime in Nigeria

COVID-19 pandemic has been responsible for the current phase of social existence which is characterized with the need for lockdown, social distancing, regular washing of hands and ensuring proper hygiene. Globally, social lives have been adjusted and various measures have been enacted to curb the spread of the virus. Nigeria is not an exception; governments at various levels have put in place measures to avert the spread of the COVID 19 virus. Some of these measures are apparent in the community lockdown and stay at home order instituted. The intention has been to control the spread of the virus and to support the health practitioners in their fight against the spread of the coronavirus pandemic and importantly, to ensure a proper social order. However, Criminals have been exploring the period of the community lockdown to exhibit their latest modus of operandi, thereby engaging in various criminal activities. The instituted community lockdown, which is geared towards containing the spread of the virus, seems to have been hijacked by the criminals and turned into an opportunity to cause civil unrest. Nigeria as a nation has witnessed an increase in the reports of rape cases; kidnapping; armed banditry as well as other security challenges during the lockdown. The increase in the rate of crime and social vices seems to have subverted the fundamental intentions of the government. This paper demonstrates the nexus between community lockdown and upsurge in crimes. Crimes, which should have declined during the lockdown, took another dimension. The lockdown was primarily geared toward reducing criminal activities, however, the mode only changed but the crime did not only continue but increases.

A Methodological Note: An Introduction to Autoregressive Models.

The autoregressive model is a useful tool to analyze longitudinal data. It is particularly suitable for gerontological research as autoregressive models can be used to establish the causal relationship within a single variable over time as well as the causal ordering between two or more variables (e.g., physical health and psychological well-being) over time through bivariate autoregressive cross-lagged or contemporaneous models. Specifically, bivariate autoregressive models can explore the cross-lagged effects between two variables over time to determine the proper causal ordering between these variables. The advantage of analyzing cross-lagged effects is to test for the strength of prediction between two variables controlling for each variable's previous time score as well as the autoregressive component of the model. Bivariate autoregressive contemporaneous models can also be used to determine causal ordering within the same time point when compared to cross-lagged effects. Since the technique uses structural equation modeling, models are also adjusted for measurement error. This paper will present an introduction to setting up models and a step-by-step approach to analyzing univariate simplex autoregressive models, bivariate autoregressive cross-lagged models, and bivariate autoregressive contemporaneous models.

Sungmoon Kim’s Democracy After Virtue

Sungmoon Kim’s <i>Democracy After Virtue</i>

Declaration of assets by public officers: when breach of duty to declare assets is a technical offence in Nigeria

The Code of Conduct Bureau and Tribunal Act 1991 established the Code of Conduct Bureau and the Code of Conduct Tribunal, primarily for the purpose of tracking assets owned by public officers as a mechanism against corrupt enrichment. Section 15 of the Act mandates public officers to declare their assets at various times in the course of employment. Though the Act criminalises failure to declare assets, the proviso to section 3 thereof however restrains the Bureau from referring cases of non-compliance to the Tribunal if a public officer admits his breach in writing. This makes such infraction a mere technical offence for which no blame can be ascribed to an ‘offender’ who admits his breach. Therefore, initiating criminal proceedings where the law absolves public officers from liability seems to violate the object of the law. It also undermines the right not to be tried for offences that are unknown to law. To give effect to the object of the Act, this paper proposes that the proper order the Tribunal should make, where cases covered by the proviso to section 3 of the Act are referred to it, is to dismiss the action in limine or strike out same for lack of jurisdiction.

Chasing Methuselah: Theology, the Body, and Slowing Human Aging

Chasing Methuselah: Theology, the Body, and Slowing Human Aging