Complexity Research Articles

Effect Of Application Of Multi Wall Carbon Nano-Tubes (Mwcnts) On Implant

Dental implants are the most predictable therapeutic option for replacement. partial or total missing teeth, however, there may be inherent factors the patient, implants or surgical technique that may increase the risk failure of implant treatment and that should be taken into consideration. The objective of this article is to carry out a review of the current literature with the in order to show the risk factors that can lead to the loss of implants dental and, therefore, the failure of implant treatment. The complexity of treatment with dental implants due to accumulated pathology, medications associated and various factors that may increase the risk of treatment failure should to be valued. By it, is important perform a Right diagnosis with he end of identify factors of risk what may drive to the failure of the implants with he end to achieve reestablish the Health, the esthetic and the function from our patients by Many years.

Capturing the complexity of COVID-19 in sub-Saharan Africa

Reports of low SARS-CoV-2 infection rates in sub-Saharan Africa underplay the huge variation in factors influencing outbreaks across the region. Reports of low SARS-CoV-2 infection rates in sub-Saharan Africa underplay the huge variation in factors influencing outbreaks across the region.

Evaluation of Underground Mineable Reserve in Presence of Grade and Commodity Price Uncertainties

The uncertainty-based mine evaluation and optimization have been regarded as a critical issue. However, it has received less attention in the underground mines than in the open-pit mines due to the diversity of the underground mining methods, and the underground mining parameters' complexity. The grade and commodity price uncertainties play essential roles in mining projects. Mine planning by not incorporating these uncertainties is accompanied by risks. The evaluation and risk assessment of the mine plans is possible through evaluating the mineable reserve in the presence of such uncertainties. In the present work, we evaluate the effects of grade and commodity price uncertainties on the underground mining stope optimization and the resultant mineable reserve. In this regard, the stope boundary is studied both deterministically and stochastically in the presence of the grade and price uncertainties. For this purpose, in this work, we implement the conditional simulation in order to generate equally probable ore reserve models. Furthermore, we optimize the stope boundary using the floating-stope algorithm in each realization. Several decision support criteria including the 'mineable reserve,' 'metal-content,' 'profit,' and 'value-at-risk' are defined to assist the decision-maker in uncertain conditions. Finally, a procedure is defined in order to consider two types of uncertainty sources simultaneously in underground mining. It will guide the decision-maker toward the most appropriate stope boundary that best fits the mining company's requirements. The procedure is implemented in a bauxite mine, and the optimal stope boundary is determined concerning the different criteria.

Gene effects for pod yield and horticultural traits of garden pea (Pisum sativum var. hortense L.) using Trigenic model of generation mean analysis

The inheritance of pod yield and related horticultural traits of garden pea using 12 generations was followed in three inter-varietal crosses. The non-fixable gene effects are higher than the fixable as a consequence of higher magnitude of epistatic interactions. Duplicate type of epistasis for different traits in three crosses in one or the other environment suggested to proceed with mild selection intensity in the early generations followed by intense in the later. The failure of the trigenic model for shelling (%), pods/plant, pod yield/ plant, pod length and seeds/ pod in all or in one of the crosses and environments revealed the complexity in the inheritance of these characters suggesting either presence of minor or modifier genes, and linkage rather than higher order interactions is responsible. The non-additive gene effects along with presence of non-allelic interactions for majority of the traits in respective crosses directed to adopt population improvement methods to break undesirable linkages through recombination or to defer selection in later generations following bulk pedigree or SSD methods with one or two inter-matings like recurrent selection.

Disseminated Nocardiosis: The Complexity of the Diagnosis

Nocardiosis is a rare infection in immunocompetent patients. Nocardia spp. is an uncommon cause of prostate abscesses and is responsible for only 1-2% of brain abscess. Hematogenous dissemination can occur, and presentation of abscesses in more than two locations is required to determine a disseminated nocardiosis. The microbiological diagnosis of this agent is still a challenge due to the complexity of its identification in regular laboratories. An early diagnosis and adequate treatment with effective antibiotics are critical for treating this entity. We report a case of a patient who presented with brain abscess with a previous medical history of prostate abscess to Nocardia spp. which evolved to disseminated nocardiosis. J Med Cases. 2021;12(5):205-208 doi: https://doi.org/10.14740/jmc3673

Evaluation of full-order method for extreme wind effect estimation considering directionality

The estimation of the extreme wind load (effect) under a mean recurrence interval (MRI) is an important task in the wind-resistant design for the structure. It can be predicted by either first-order method or full-order method, depending on the accuracy and complexity requirement. Although the first-order method with the consideration of wind directionality has been proposed, less work has been done on the full-order method, especially with the wind directionality. In this study, the full-order method considering the wind directionality is proposed based on multivariate joint probability distribution. Meanwhile, considering two wind directions, the difference of the corresponding results based on the first-order method and full-order method is analyzed. Finally, based on the measured wind speed data, the discrepancy between these two methods is investigated. Results show that the difference between two approaches is not obvious under larger MRIs while the underestimation caused by the first-order method can be larger than 15% under smaller MRIs. Overall, the first-order method is sufficient to estimate the extreme wind load (effect).

Adventuring into Complexity by Exploring Data: From Complicity to Sustainability

Adventuring into Complexity by Exploring Data: From Complicity to Sustainability

ES13.06 Developing a Care Board

Interprofessional supportive care improves patient’s quality of life and might even impact overall survival In the Department of Oncology at Lausanne University Hospital (CHUV) we developed and introduced an interprofessional board called “Care-Board” during early treatment phase that is organized in parallel to the Tumor-Board The aim of the Care-Board is to facilitate a standardised interprofessional consensus process and agreement on supportive care recommendations for patients Between 2017-2018, we piloted the Care-Board targeted on patients diagnosed with lung cancer This pilot study showed promising results for the feasibility and acceptability of the Care-Board Indeed all participating health care professionals declared to be favorable to continue the Care-Board in the future and integrate this model in the usual care for lung cancer patients It was also found that the goal of the Care-Board needed clarification and clear inclusion criteria evaluating the complexity of patients’ supportive care needs was recommended It was also recommended to open the Care Board to other patient groups and to increase the frequency of Care Boards to allow a rapid action to address problems and needs In 2020 we introduced a new model of the Care Board open to all cancer patients fulfilling the following inclusion criteria: clinical evidence of moderate / high distress (score >4 on the NCCN distress thermometer) and/or a high number of problems on the problem checklist, and/ or management by the oncology team and available resources / referral to specialist does not sufficiently allow to address the distress / problems The Care Board is led by an oncology nurse (Care Board Coordinator) and includes oncologists, oncology nurses, oncology APNs, palliative care specialists, psycho-oncologists, integrative medicine, social worker, nutritionists, spiritual care They meet weekly for one hour, each member can refer patients to the board Between February and November 2020 we held 29 care boards (main reason for missed care-boards: 1st wave of COVID-19 (n=10), lack of referred cases (n=9) The average time duration of weekly Care Board was 50 min and on average one new patient was discussed per Care Board, in total 33 new patients were discussed Of these, 48% (n=16) were previously screened with the NCCN Distress Thermometer These screened patients showed a mean distress score of 4 and indicated on average 15 problems on the problem checklist Most cases were referred by oncology nurses (n=11;33%) and oncology APNs (n=17;55%) 55% of referred patient situations were lung cancer patients, followed by brain tumor patients (15%) and gastro-intestinal cancer patients (12%) The main supportive care areas discussed in the Care Board were psychological problems (anxiety, fear, worry, nervousness, isolation) physical problems (fatigue, nausea, loss of appetite, sleep disorders) and financial problems These early results show that the Care Board is feasible and is accepted by health care professionals caring for lung cancer patients Early feasibility results for other patient groups are promising We continue the development and have the intention to conduct research to enable the development of an evidence based Care Board model

A review on aquatic ecosystem mesocosms.

Aquatic ecosystem mesocosm refers to an artificially constructed near-natural simulation facility in aquatic ecosystem. With aquatic ecosystem mesocosms, experiments on the responses of biological communities can be conducted by controlling physical, chemical and other habitat conditions. Mesocosm experiments can bridge the gap between laboratory experiments and field experiments. Laboratory experiment can only simulate a small number of simple factors, whereas field experimental systems are complex and difficult to conduct controlled experiments. By resear-ching into global long-term mesocosms, we classified them into four types, i.e. flowing type mesocosm, enclosure, land-based simulation pool and mobile experimental tank. The meoscosms gene-rally include physical-biological simulation system, automatic control system, monitoring and analysis system, and central control system. In recent years, aquatic ecosystem research in China has gradually changed from a single environmental factor to the whole ecosystem. We suggest that the construction of the mesocosms in China's aquatic ecosystem should increase the structural complexity and be combined with field in situ monitoring to support large scale simulation.

P09.34 Curating Online Journal Clubs to Advance Global Oncology Lung Cancer Care

Introduction: Osler developed the 1st journal club in 1875 to reduce financial barriers to keeping up with global medical progress Journal clubs have since become a widely accessible tool to improve patient safety & quality care However, maintaining competence today is limited by exponentially increasing complexity & volume while resources stay siloed In response the “#RadOnc” Twitter journal club was created in 2014 to accelerate knowledge translation across boundaries Its lung cancer projects have included discussions on globally relevant articles, dual hashtags, & crowdsourced summaries to enhance to enhance clinical knowledge, online communication, & critical appraisal Methods: We reviewed data from the journal club since 2014 The format included free article access, a weekend-long asynchronous chat, & a live hour including article authors Targeted invitations were sent prior with introductions posted to a blog Curated open-access summaries were created using Wakelet to facilitate discussions & allow future referencing Dual hashtags (#RadOnc #jc) were tested in 2020 Single & dual hashtag data from January & February was analyzed and compared against chat transcripts to determine if dual hashtags appropriately focused content Selected chats of immediate relevance were thematically analyzed for publication to guide local standards of practice Results: Fifteen chats (37% ) had direct relevance to lung cancer (including palliative/supportive care, SCLC, & NSCLC) with all attended by article authors The most recent lung cancer chat had 496 tweets & 2 9 million impressions Altmetric scores ranged from 15 to 227 (top 5%) We identified 1853 tweets with “# RadOnc” and 1256 (68%) used “#RadOnc #jc” Dual hashtags were used by 122/558 (22%) Participants spanned 13 countries (radiation oncologists (54/122, 44%), trainees (15/122, 12%), other physicians (9/122, 7%), patients (5/122, 4%), physicists (2/122, 2%), & radiation therapists (1/122, 1%)) Chats averaged 19 dual hashtag tweets/hr compared to 9 other “#radonc” tweets/hr (p=0 036) Most dual hashtag content was related to the journal club (542/542 for January & 713/714 for February) Two recent chats resulted in publications in academic journals Conclusion: #RadOnc #jc has overcome limitations of traditional journal clubs & remained at the forefront of changing online practices to sustainably facilitate active global lung cancer discussions This includes use of dual hashtags that are feasible to filter conversations & enable a chat within the hashtag of a growing community of practice It has nurtured diverse perspectives including multidisciplinary experts, patients, & trainees from HICs & LMICs for rich digitized peer review & discussion This informed the publication of the first crowdsourced global oncology guidelines for the COVID19 pandemic & emerging standard techniques for SCLC Aggregation through Wakelet summaries may further reduce the reading burden Together, #RadOnc #jc is becoming a platform for rapid knowledge translation & creation by encouraging & amplifying the voices of the global oncology community through crowdsourcing, rapid review, and open-access publication We continue to assess its outcomes for quality improvement including reviewing our lung cancer specific data, chat metrics, author & article impact, & engagement including feedback from all stakeholders working towards improving cancer care Keywords: Social Media, global oncology, Medical Education

Connection stiffness reduction analysis in steel bridge via deep CNN and modal experimental data

This study devises a novel approach, namely quadruple 1D convolutional neural network, for detecting connection stiffness reduction in steel truss bridge structure using experimental and numerical modal data. The method is developed based on expertise in two domains: firstly, in Structural Health Monitoring, the mode shapes and its high-order derivatives, including second, third, and fourth derivatives, are accurate indicators in assessing damages. Secondly, in the Machine Learning literature, the deep convolutional neural networks are able to extract relevant features from input data, then perform classification tasks with high accuracy and reduced time complexity. The efficacy and effectiveness of the present method are supported through an extensive case study with the railway Nam O bridge. It delivers highly accurate results in assessing damage localization and damage severity for single as well as multiple damage scenarios. In addition, the robustness of this method is tested with the presence of white noise reflecting unavoidable uncertainties in signal processing and modeling in reality. The proposed approach is able to provide stable results with data corrupted by noise up to 10%.

Study on mechanical behaviors of loose mortise-tenon joint with neighbouring gap

The neighbouring gaps at the mortise-tenon joint in traditional timber structure, which leads to the complexity of the joint, are considered to impair the mechanical performance of the joint. In this paper, numerical simulation of loose joint was conducted to examine the deformation states, stress distributions, and bearing capacities, which was verified by full-scale test. On the basis of the experimental and numerical results, a simplified mechanics model with gaps has been proposed to present the bending capacity of the loose joint. Besides, the gap effects and parameter studies on the influences of tenon height, friction coefficient, elastic modulus and axial load were also investigated. As a result, the estimated relationship between moment and rotation angle of loose joint showed the agreement with the numerical results, demonstrating validity of the proposed model; The bending bearing capacity and rotational stiffness of loose joint had a certain drop with the increasing of gaps; and the tenon height may be the most important factor affecting the mechanical behaviors of the joint when it is subjected to repeated load; Research results can provide important references on the condition assessments of the existing mortise-tenon joint.

Reconciling complexity and clarity in revolution studies

Reconciling complexity and clarity in revolution studies

Target tracking algorithm based on YOLOv3 and ASMS

In order to solve the problem of loss when the target encounters occlusion or the speed is too fast during the automatic tracking process, a target tracking algorithm based on YOLOv3 and ASMS is proposed. Firstly, the target is detected by the YOLOv3 algorithm and the initial target area to be tracked is determined. After that, the ASMS algorithm is used for tracking. The tracking effect of the target is detected and judged in real time. Reposi-tioning is achieved by quadratic fitting positioning and the YOLOv3 algorithm when the target is lost. Finally, in order to further improve the efficiency of the algorithm, the incremental pruning method is used to compress the algorithm model. Compared with the mainstream algorithms, experimental results show that the proposed algorithm can solve the lost problem when the tracking target is occluded, improving the accuracy of target detection and tracking. It also has advantages of low computational complexity, time-consuming, and high real-time performance.

A new MMP-mediated prodomain cleavage mechanism to activate bone morphogenetic proteins from the extracellular matrix.

Since their discovery as pluripotent cytokines extractable from bone matrix, it has been speculated how bone morphogenetic proteins (BMPs) become released and activated from the extracellular matrix (ECM). In contrast to TGF-βs, most investigated BMPs are secreted as bioactive prodomain (PD)-growth factor (GF) complexes (CPLXs). Recently, we demonstrated that PD-dependent targeting of BMP-7 CPLXs to the extracellular fibrillin microfibril (FMF) components fibrillin-1 and -2 represents a BMP sequestration mechanism by rendering the GF latent. Understanding how BMPs become activated from ECM scaffolds such as FMF is crucial to elucidate pathomechanisms characterized by aberrant BMP activation and ECM destruction. Here, we describe a new MMP-dependent BMP-7 activation mechanism from ECM-targeted pools via specific PD degradation. Using Edman sequencing and mutagenesis, we identified a new and conserved MMP-13 cleavage site within the BMP-7 PD. A degradation screen with different BMP family PDs and representative MMP family members suggested utilization of the identified site in a general MMP-driven BMP activation mechanism. Furthermore, sandwich ELISA and solid phase cleavage studies in combination with bioactivity assays, single particle TEM, and in silico molecular docking experiments provided evidence that PD cleavage by MMP-13 leads to BMP-7 CPLX disintegration and bioactive GF release.

Analysis and optimization of a typical quasi-zero stiffness vibration isolator

To isolate vibration at a low-frequency range and at the same time to provide sufficient loading support to the isolated structure impose a challenge in vibration isolation. Quasi-zero stiffness (QZS) vibration isolator, as a potential solution to the challenge, has been widely investigated due to its unique property of high-static & low-dynamic stiffness. This paper provides an in-depth analysis and potential optimization of a typical QZS vibration isolator to illustrate the complexity and importance of design optimization. By carefully examining the governing fundamentals of the QZS vibration isolator, a simplified approximation of force and stiffness relationship is derived to enable the characteristic analysis of the QZS vibration isolator. The explicit formulae of the amplitude-frequency response (AFR) and transmissibility of the QZS vibration isolator are obtained by employing the Harmonic Balance Method. The transmissibility curves under force excitation with different values of nonlinear coefficient, damping ratio, and amplitude of excitation are further investigated. As the result, an optimization of the structural parameter has been demonstrated using a comprehensive objective function with considering multiple dynamic characteristic parameters simultaneously. Finally, the genetic algorithm (GA) is adopted to minimise the objective function to obtain the optimal stiffness ratios under different conditions. General recommendations are provided and discussed in the end.

Corpo e ciência do conhecimento disciplinar à visão plural

Neste breve ensaio, procuramos refletir sobre como a razão consagrou a divisão do homem em corpo e alma e sobre como essa dualidade se revelou na tradição hierárquica de estratificação do saber e do conhecimento científico, servindo para justificar dicotomias com alto e poderoso capital simbólico (teoria e prática). Mais do que refutar uma educação do corpo baseada no conhecimento disciplinar ou na ciência cartesiana, que, aparentemente, só reconhecem um ponto de vista sobre ele - como se a pessoa fosse apenas uma dimensão -, desejamos ousadamente, a partir dessa herança histórica, argumentar, embora de forma breve, que, através do movimento do corpo, ao longo dos tempos, podemos compreender o movimento da própria ciência como resultado de nossa visão sobre corpo e mundo. Nessa construção foram utilizados contributos teóricos que dissertam sobre epistemologia científica (ARDOINO, 1998), teoria da complexidade (MORIN, 2003), corpo (NIETZSCHE, 2012a, 2012b, 2013, 2014, 2015).

Spatial Planning for Urban Resilience in the Face of the Flood Risk: Institutional Actions, Opportunities and Challenges

The research was inspired by the increasing impact of extreme weather events and changing climate patterns on flood-prone regions and cities, and the consequent human and economic costs. Despite global efforts for flood resilience and climate adaptation involving climate analysts, economists, social scientists, politicians, hydrological engineers, spatial planners, and policymakers, it is only partially clear how best to construct resilience measures and implement concrete initiatives. The complexity of institutions is a key factor that is often neglected, and which needs further investigation. The thesis examines the institutional arrangements that determine the role of spatial planning in managing flood risk, through an in-depth case study of Guangzhou, one of the most vulnerable cities in China and globally. The thesis employs theories of historical institutionalism, planning procedure and planning tools, policy framing and collaborative governance, to explore the mechanisms and factors that influence the creative planning and design process. Content analysis, GIS-based mapping, stakeholder analysis and TOWS analysis are used to investigate data from official policy documents, grey literature, geo-information data and interview scripts. The findings indicate that institutional arrangements, such as long-established planning traditions, formal planning procedures and tools, policy framing patterns and contextual organisational factors, determine spatial planning’s role in managing flood risk. They do this through (1) the extent of the changeability of an established planning system towards expanded flood resilience measures; (2) the performance of cross-level communication and boundary-spanning work between planning and water management; (3) the legal framework that planners and hydrological engineers follow; and (4) the capacities of planning and water management institutions to work on flood issues. This research shows how to apply knowledge from policy science, political science, institutional science and administration, to analyse the nature of the planning process in tackling the urgent challenge of flood risk and climate change.

Diagnósticos de Enfermagem identificados entre usuários do Centro de Atenção Psicossocial Álcool e Outras Drogas do Município de Caucaia-CE

Objetivo: identificar os principais Diagnósticos de Enfermagem entre os usuários de um Centro de Atenção Psicossocial aos Usuários de Álcool e Outras Drogas do Município de Caucaia-CE. Metodologia: estudo exploratório-descritivo, documental, quantitativo realizado no CAPS AD de Caucaia-CE. Dentre os 1020 prontuários ativos, após o cálculo amostral, elegeram-se 200 prontuários para análise. Os dados foram coletados entre dezembro de 2019 e abril de 2020, por meio de instrumento previamente elaborado, analisados por estatística descritiva simples e com base na NANDA-I (2018-2020) para a identificação dos principais Diagnósticos de Enfermagem; e discutidos com base na literatura pertinente. Resultados: O perfil dos usuários registrados era majoritariamente masculino, de adultos jovens, solteiros, com ensino fundamental incompleto, desempenhando algum tipo de ocupação, sendo o álcool a substância de preferência. Foram identificados 37 diagnósticos de Enfermagem com predominância dos com foco no problema, seguido dos de promoção da saúde. Com relação à análise dos diagnósticos de risco e com foco no problema, emergiram três subcategorias: 1) Problemas de enfrentamento e na autopercepção; 2) Problemas autodirigidos; e 3) Problemas biológicos, físicos, psicológicos e sociais. O abuso de substância despontou como elemento relacionado ou de risco para grande parte desses enunciados. Conclusão: Tendo em vista a complexidade que envolve o cuidado de Enfermagem no âmbito da Saúde Mental, aponta-se que o levantamento dos Diagnósticos de Enfermagem nesse cenário é uma ferramenta primordial para entender os indivíduos em suas singularidades e delinear intervenções alinhadas às suas necessidades de cuidado.

BIOLOGY EDUCATION STUDENTS’ ANALYSIS OF REASONING ON PLANT TAXONOMY COURSEWHITE RASCH MODEL

ANALISIS PENALARAN MAHASISWA PENDIDIKAN BIOLOGI PADA MATA KULIAH TAKSONOMI TUMBUHAN DENGAN MODEL RASCHAbstractThe reasoning is the stage of thinking that tries to connect facts or evidence to reach conclusions. The reasoning includes thinking and reasoning skills that support the formation and modification of concepts. The complexity of learning stages and reasoning gives results in inequality or low levels of reasoning owned by students. This study aimed to analyze the reasoning of students in the Plant Taxonomy course. This research used a descriptive quantitative design. This research used a test instrument administered on 36 students of Biology Education of UIN Raden Fatah Palembang with data collected using questions with indicators based on Toulmin's assessment (2003). The data analysis was conducted by analyzing the level of individual ability (person measure) to determine students' reasoning ability. The data analysis showed that one student had a logit person score of +3.05, namely student number 02, with a high reasoning category. There were twenty-four students, with a medium reasoning category. Two students have the lowest logit person score, namely students 08 and 14, with a logit person score of -0.49. The results indicated that generally, students had difficulty finding plant taxonomy concepts; therefore, thinking needed to be taught more in-depth, so students could manage the information received and conduct a good reasoning analysis in problem-solving.AbstrakPenalaran merupakan tahap berpikir yang mencoba menghubungkan fakta atau evidensi untuk mencapai kesimpulan. Penalaran mencakup keterampilan berpikir dan bernalar yang mendukung pembentukan dan modifikasi konsep. Kompleksnya tahapan belajar hingga pada tahap penalaran, mengakibatkan adanya ketidakmerataan atau rendahnya tingkat penalaran yang dimiliki oleh mahasiswa. Penelitian ini bertujuan untuk menganalisis penalaran mahasiswa pada Mata kuliah Taksonomi Tumbuhan. Jenis penelitian adalah deskriptif kuantitatif. Penelitian menggunakan instrumen tes yang dilaksanakan pada 36 mahasiswa Pendidikan Biologi UIN Raden Fatah Palembang. Data dikumpulkan menggunakan soal dengan indikator berdasarkan asesmen Toulmin (2003). Analisis data dengan menganalisis tingkat abilitas individu (person measure) untuk melihat kemampuan penalaran mahasiswa. Hasil analisis menunjukkan bahwa terdapat satu mahasiswa yang memiliki nilai logit person +3,05 yaitu mahasiswa nomor 02, dengan kategori penalaran tinggi. Terdapat dua puluh empat mahasiswa, dengan kategori penalaran sedang. Terdapat dua mahasiswa yang memiliki nilai logit person paling rendah, yaitu mahasiswa 08 dan 14 dengan nilai logit person -0,49. Hasil penelitian menunjukkan bahwa, secara umum mahasiswa banyak mengalami kesulitan dalam menemukan konsep taksonomi tumbuhan sehingga perlu lebih dalam mengajarkan cara berpikir mahasiswa, sehingga mahasiswa dapat mengelola informasi yang diterima dan melakukan analisis penalaran yang baik dalam memecahkan masalah.