bluuebunny/crossref_metadata_2025 huggingface dataset:
An evaluation of risk factors affecting amputation in patients with diabetic foot Infection
Authors: ALAY Handan , YILMAZ Sinan , KESMEZ CAN Fatma , PARLAK Mehmet
Published: January 2021

Introduction: Diabetic foot infections are one of the most common complications of diabetes and generally result in lower extremity amputations.
Aim: The purpose of this study is to investigate risk factors affecting amputation in patients diagnosed with diabetic foot ulcer.
Materials and Methods: This prospective cohort study involved 137 patients diagnosed with diabetic foot infection in a university hospital diabetic foot clinic.
Results: The mean age of the participants was 60.5±10.1 years, and 70.8% (n=97) were men. The majority of patients (62.0%) were educated to elementary or middle school level, while 26.3% were illiterate. Mean duration of diabetes was 13.3±6.2 years. Hypertension was present in 48.2% of patients, hypercholesterolemia in 31.4%, cardiovascular disease (CVD) in 38%, peripheral artery disease (PAD) in 21.2%, peripheral venous insufficiency in 10.2%, and polyneuropathy in 70.1%, and 9.5% were receiving hemodialysis. According to the Infectious Diseases Society of America classification, moderate foot ulcers were present in 60.6% of patients, mild ulcers in 34.3%, and severe ulcers in 5.1%. Forty-six percent of patients were diagnosed with osteomyelitis during follow-up. Amputation was present in 28.5% (n=39) of the patients followed-up due to foot ulcers. PAD increased the risk of amputation 2.7-fold (95% CI: 1.02-7.14), osteomyelitis 2.6-fold (95% CI: 1.10-6.16), and repeated hospitalizations 5.9-fold (95% CI: 2.25-15.33). Growth was observed in 72.6% of patients without amputation, 76.5% were polymicrobial, and 65.9% of antibiogram results were multidrug resistant. No significant difference was observed among the patients in terms of multidrug resistance (p=0.468).
Conclusion: PAD, osteomyelitis, and history of repeated hospitalizations are separate risk factors for amputation in patients with diabetic foot ulcers.
Is mean platelet volume better than other long-used non-invasive parameters in assessing severe fibrosis in patients with chronic hepatitis B?
Authors: AKAR Mustafa
Published: January 2021

Background & Aims: This study was aimed to investigating the correlation between the severity of hepatic fibrosis and mean platelet volume (MPV) and comparing the accuracy rate of MPV with that of other long-used non-invasive parameters in predicting severe hepatic fibrosis in patients with chronic hepatitis B (CHB).

Materials and Methods: Ninety-nine patients with CHB were enrolled. The patients were assigned to two groups, based on their hepatic fibrosis scores. Those with scores ranging from 0 to 3 (mild to moderate fibrosis) were assigned to Group 1, and those with scores ranging from 4 to 6 (severe fibrosis) were included in Group 2.

Results: The mean age of the patients was 4213, and 69 (70%) of them were male. Twenty two patients (22%) were in Group 2. Patients in Group 2 displayed significantly lower albumin and platelet count (p
The Glittre Activities of Daily Living Test in patients with acromegaly: Associations with hand function and health-related quality of life
Authors: de Alegria Samantha Gomes , Kasuki Leandro , Gadelha Monica , Lopes Agnaldo José
Published: January 2021

BACKGROUND: Musculoskeletal disorders in acromegaly compromise upper and lower limb activity. Corresponding changes can be better assessed by a functional capacity test incorporating multitasking, such as the Glittre Activities of Daily Living Test (GA-T). OBJECTIVES: To evaluate functional capacity in adults with acromegaly using the GA-T and to correlate functional capacity with hand function and health-related quality of life. METHODS: The GA-T was applied to 36 patients with acromegaly and an equal number of healthy individuals. Additionally, participants completed the Acromegaly Quality of Life (AcroQoL) questionnaire and underwent a chronic pain assessment using a map of the human body, a hand function evaluation using the Cochin Hand Functional Scale (CHFS), and a handgrip strength test. RESULTS: Relative to the comparison group, patients with acromegaly required more time to perform the GA-T, showed worse hand function, and reported that squatting to accomplish shelving tasks was the major difficulty. GA-T time was correlated with the AcroQoL global score, handgrip strength, and the CHFS (rs=-0.487, p= 0.002; rs=-0.369, p= 0.026; rs= 0.538, p= 0.0007, respectively). CONCLUSIONS: Patients with acromegaly exhibited a reduced functional capacity as assessed by the GA-T. Additionally, an association was identified between the total GA-T time and both hand function and quality of life.
Predictive factors of response in radial Extracorporeal Shock-waves Therapy for Myofascial and Articular Pain: A retrospective cohort study
Authors: Sugawara André Tadeu , Lima Moises da Cunha , Dias Cristiane Bitencourt
Published: January 2021

BACKGROUND: Myofascial Pain Syndrome causes disability in daily life activities and despite all efforts, it continues to be a challenge, perpetuating suffering, overloading services and costs. New treatment options need to be tested. OBJECTIVE: We aimed to quantify the rESWT short-term analgesic effect and identify the predictors of success through comparing results achieved in MPS and Articular Pain (AP). METHOD: Retrospective cohort study of 1,580 patients with Myofascial Pain Syndrome or Articular Pain underwent two weekly radial Extracorporeal Shock-wave Therapy sessions. The pain intensity was measured by Visual Analog Scale before and one week after the end of the treatment (3 weeks). RESULTS: The therapy decreases pain by 62.50% (p< 0.0001), with a high success rate (91.59%) and a low worsening of baseline conditions rate (2.1%). The best recommendation is for patients with intense myofascial pain (Visual Analog Scale ⩾ 70 mm), using high shock-wave frequency (⩾ 15 Hz). CONCLUSIONS: Two rESWT sessions promote pain relief, with a high success rate and low rates of treatment abandonment and worsening. The best results are obtained in myofascial pain patients with high pain intensity, treated with high-frequency dosage.
The factors of non-specific chronic low back pain in nurses: A meta-analysis
Authors: Sun Weige , Zhang Haijiao , Tang Limei , He Ying , Tian Suzhai
Published: January 2021

BACKGROUND: Numerous studies have investigated factors for non-specific chronic low back pain (NSCLBP) in nurses, and have reached different conclusions. Evidence-based recommendations are required for the prevention and treatment of NSCLBP in nurses. OBJECTIVE: This meta-analysis aimed to systematically review and quantify the factors of NSCLBP in nurses. METHODS: Eleven databases were searched. The odds ratios (OR) with 95% confidence intervals (CIs) were pooled using meta-analysis, and either a fixed-effect or random-effect model was used based on heterogeneity across included studies. RESULTS: Eighteen publications including 11,752 nursing staff were included. Being female (pooled estimate [95% CI], 1.56 [1.24–1.96]; P< 0.001), married (1.89 [1.38–2.60]; P< 0.001), overweight (0.63 [0.43–0.93]; P= 0.02), working at least 10 years (0.65 [0.48–0.89]; P= 0.007), and working night shifts (2.19 [1.16–4.21]; P= 0.02) were positively related to NSCLBP. Junior college education (0.60 [0.47–0.77]; P< 0.001) and job satisfaction (0.58 [0.47–0.73]; P< 0.001) were negatively related. Age (0.80 [0.50–1.27]; P= 0.34) and physical exercise (0.99 [0.39–2.49]; P= 0.98) were not related. CONCLUSIONS: This is the first meta-analysis to quantify the risk factors for NSCLBP in nurses. Being female, married, working night shifts, overweight, working at least 10 years and dissatisfied with work are risk factors. High-quality prospective studies are required to validate the findings of this study.
Investigating the effects of combinations of irregularities on seismic ductility demands and mean response for four-span RC bridges considering displacement direction
Authors: Sajed Mohsen , Tehrani Payam
Published: January 2021

The effects of combinations of different types of irregularities have not been studied in details in the past and current seismic design codes do not address this issue appropriately. In this research, 76 regular and irregular bridges with irregularities in both superstructure and substructure were designed and evaluated to investigate the impact of combinations of irregularities on the seismic ductility demands. The irregularity parameters considered in this study include irregularities in span arrangement, different lengths of columns, different abutments support conditions and different stiffness of superstructure. The bridges were designed and checked according to AASHTO provisions. Inelastic time history analysis was conducted using OpenSees software and ductility demands in bridge columns for different bridge configurations were predicted. Predictions of ductility demands were based on the mean responses obtained using a number of ground motion records. Finally, the effect of considering displacement directions in predicting the mean bridge response (i.e., using different methods for predicting the mean response) for irregular and regular bridges was investigated. The results indicate that the combinations of irregularities can significantly increase the ductility demands in some cases compared to the case of regular bridges.
Undisclosed creators of digitalization: A critical analysis of representational practices
Authors: Gidlund Katarina L. , Sundberg Leif
Published: January 2021

The aim of this paper is to study over- and under representational practices in governmental expert advisory groups on digitalization to open up a dialogue on translations of digitalization. By uncovering how meanings converge and interpretations associated with technology are stabilized or maybe even closed, this research is positioned within a critical research tradition. The chosen analytical framework stretches from technological culture (i.e., how and where the myths and symbolic narratives are constructed), and a focus on the process of interpretation (i.e., the flexibility in how digitalization could be translated and attached to different political goals and values) to a dimension of firstness (addressing education, professional experiences and geographical position to explore dominance and power aspects). The results reveal a homogeneity that is potentially problematic and raises questions about the frames for interpreting what digitalization could and should be and do. We argue that the strong placement of digitalization in the knowledge base disclosed in this study hinders digitalization from being more knowledgeably translated.
Deep Brain Stimulation in Alzheimer’s Disease: Targeting the Nucleus Basalis of Meynert
Authors: Chen Yu-si , Shu Kai , Kang Hui-cong
Published: January 2021

Alzheimer’s disease (AD) is becoming a prevalent disease in the elderly population. Past decades have witnessed the development of drug therapies with varying targets. However, all drugs with a single molecular target fail to reverse or ameliorate AD progression, which ultimately results in cortical and subcortical network dysregulation. Deep brain stimulation (DBS) has been proven effective for the treatment of Parkinson’s disease, essential tremor, and other neurological diseases. As such, DBS has also been gradually acknowledged as a potential therapy for AD. The current review focuses on DBS of the nucleus basalis of Meynert (NBM). As a critical component of the cerebral cholinergic system and the Papez circuit in the basal ganglia, the NBM plays an indispensable role in the subcortical regulation of memory, attention, and arousal state, which makes the NBM a promising target for modulation of neural network dysfunction and AD treatment. We summarized the intricate projection relations and functionality of the NBM, current approaches for stereotactic localization and evaluation of the NBM, and the therapeutic effects of NBM-DBS both in patients and animal models. Furthermore, the current shortcomings of NBM-DBS, such as variations in cortical blood flow, increased temperature in the target area, and stimulation-related neural damage, were presented.
Putative Blood Somatic Mutations in Post-Traumatic Stress Disorder-Symptomatic Soldiers: High Impact of Cytoskeletal and Inflammatory Proteins
Authors: Sragovich Shlomo , Gershovits Michael , Lam Jacqueline C.K. , Li Victor O.K. , Gozes Illana
Published: January 2021

Background:

We recently discovered autism/intellectual disability somatic mutations in postmortem brains, presenting higher frequency in Alzheimer’s disease subjects, compared with the controls. We further revealed high impact cytoskeletal gene mutations, coupled with potential cytoskeleton-targeted repair mechanisms.

Objective:

The current study was aimed at further discerning if somatic mutations in brain diseases are presented only in the most affected tissue (the brain), or if blood samples phenocopy the brain, toward potential diagnostics.

Methods:

Variant calling analyses on an RNA-seq database including peripheral blood samples from 85 soldiers (58 controls and 27 with symptoms of post-traumatic stress disorder, PTSD) was performed.

Results:

High (e.g., protein truncating) as well as moderate impact (e.g., single amino acid change) germline and putative somatic mutations in thousands of genes were found. Further crossing the mutated genes with autism, intellectual disability, cytoskeleton, inflammation, and DNA repair databases, identified the highest number of cytoskeletal-mutated genes (187 high and 442 moderate impact). Most of the mutated genes were shared and only when crossed with the inflammation database, more putative high impact mutated genes specific to the PTSD-symptom cohorts versus the controls (14 versus 13) were revealed, highlighting tumor necrosis factor specifically in the PTSD-symptom cohorts.

Conclusion:

With microtubules and neuro-immune interactions playing essential roles in brain neuroprotection and Alzheimer-related neurodegeneration, the current mutation discoveries contribute to mechanistic understanding of PTSD and brain protection, as well as provide future diagnostics toward personalized military deployment strategies and drug design.
From venture capital towards venture firm innovation performance: evidence from SMEs of China
Authors: Ma Yanran , Cai Jianfeng , Wang Yiqi , Farooq Sahibzada Umar
Published: January 2021

Based on information asymmetry, agency theory and resource-based view (RBV), this study investigates the impact of venture capital (VC) on venture firm innovation performance, ascertains the extent to which VC affects venture firm innovation performance and finds the mediating effect of management incentives. Constructing a sample of a novel panel dataset of firms listed on the SME Board of China, we examined a sample of 927 start-ups between 2008 and 2017, showing a notable negative relationship between VC and Patent, and a positive relationship between VC and total factor productivity (TFP), providing stable evidence that VC could not spur firm patent directly, but facilitate the commercialization of innovation. Moreover, it shows that management equity incentives (MEI) and management cash incentives (MCI) playing significant positive mediating role between VC and TFP, while there is no mediating effect between VC and Patent. Findings of this study strengthen the experience of VC and suggest how practitioners of SMEs to enhance the commercialization of innovation, considerably extends our understanding of the impact of VC on venture firm innovation performance.
Research on big data audit based on financial sharing service model using fuzzy AHP
Authors: Jiang Sai
Published: January 2021

With the rapid development of artificial intelligence and big data technology, the traditional audit method has been constantly impacted by big data. In the era of big data, enterprises actively explore and build a financial sharing service model, and through this model, build audit methods based on big data. In this paper, based on the financial sharing service model, we elaborate the preprocessing process of big data collection, clarity and storage, and build the simulation process framework of big data audit under the service model. Evaluation model is developed based on fuzzy analytic hierarchy process (AHP) and methodology for order estimation by similarity of solution. Finally, on the basis of the implementation process framework, the specific content of each link of big data audit is briefly given. Under the financial sharing service mode, it provides theoretical guidance and practical significance for the implementation of big data audit
Development characteristics of public-private partnership projects using fuzzy approach in China during 2016–2018
Authors: Chen Shu , Xiang Lei , Jin Lianghai
Published: January 2021

Public-Private Partnership (PPP) has been adopted extensively in public infrastructures in China. Numerous studies have explored development patterns for future PPP projects success based on either literature review or case studies. This paper aims to probe into the spatiotemporal dynamics of China’s PPP and clarify regional differentiation by frequency analysis, coefficient of variation and cluster analysis. The result shows that the implementation rate has a slight increase along with time series although PPP projects gradually return to rational development. The fuzzy set is utilized to handle with ambiguity in some linguistic risk allocation criteria to lower the fuzziness and bias in knowledge expert which is qualitative that handles real time decision making. The municipal sector has been occupied the largest share of PPP projects while state-owned enterprises still dominate the biggest PPP marketed components. Local governments prefer viability gap subsidies although central government encourages user payment. Spatial difference coefficient is so high reflecting obvious regional differentiation of provincial PPP development. Recommendations are ultimately put forward to enhance China’s future PPP promotion, which will provide a valuable direction for government to make PPP customized policies.
A novel 3-DOF translational parallel robot and its fuzzy controller design
Authors: Li Tianxu , Gong Mingde , Hu Kongming , Zhao Lijuan , Zhao Baoqiang
Published: January 2021

In this paper, a novel three-degrees-of-freedom (3-DOF) parallel robot is designed, which can only move in three translational directions. It avoids the difficulty in the solution for forward kinematics of the parallel robot. The robot containing only lower pairs (P and R) has a simple mechanism. The characteristic that the parallel robot has only three translational degrees of freedom can be proved by the screw theory and the DOF can be got by the formula of calculating the DOF of space mechanism. The kinematics and workspace of the parallel robot is analyzed through calculation and simulation. In order to obtain better servo control performance, the PMSM fuzzy controller is designed. The analysis and simulation results show that the mechanism design of the parallel robot is reasonable, and the effect of fuzzy controller is better than the ordinary PID controller.
The research and application of intuitionistic fuzzy decision making
Authors: Zheng Leina , Wang Junwei , Liu Meiling , Liu Jun , Pan Tiejun , Xu Haojie
Published: January 2021

This paper studies intuitionistic fuzzy (IF) decision making problems using an integrated approach. Firstly, an IF induced generalized ordered weighted averaging distance (IFIGOWAD) operator is introduced, that covers numerous IF aggregations distance operators. Then, two more generalized operators named IF quasi induced OWAD (Quasi-IFIOWAD) and IF induced generalized hybrid average distance (IFIGHAD) operator are presented. Furthermore, a new method using above operators is introduced to IF decision making problem and online trade systems. Finally, two real cases are present to show the effect of the method.
Design of distributed WSNs fire remote monitoring system based on fuzzy algorithm
Authors: Li Hao , Yang Jie
Published: January 2021

The traditional distributed WSNs fire remote monitoring system has single monitoring variables and incomplete fire detection data, which leads to large monitoring error and long delay. A distributed WSNs fire remote monitoring system based on fuzzy algorithm is designed. The hardware part of the system consists of distributed WSNs fire remote monitor, air temperature and humidity parameters acquisition, LCD unit and system power supply unit. The remote fire monitor is designed by using microprocessor C8051F060, and the centralized monitoring of information is realized by using distributed WSNs. Based on this, the fuzzy algorithm is introduced to standardize the fire detection data, and the fuzzy similar matrix is established. According to the improved similarity coefficient, the matrix is solved, the fuzzy equivalent matrix is calculated, and the optimal threshold value of fuzzy monitoring is determined. The fuzzy language monitoring rules are set by using three fuzzy variables of current, temperature and smoke to complete the design of distributed WSNs fire remote monitoring system. The simulation results show that: compared with the traditional fire monitoring system, the system designed in this paper has higher throughput limit, shorter delay, and the accuracy rate of monitoring and alarm is higher than 95%. The experimental results show that the system has good generalization ability and is suitable for large-scale high-rise buildings and large-scale networks.
Image development in the framework of ξ – complex fuzzy morphisms
Authors: Imtiaz Aneeza , Shuaib Umer , Razaq Abdul , Gulistan Muhammad
Published: January 2021

The study of complex fuzzy sets defined over the meet operator (ξ – CFS) is a useful mathematical tool in which range of degrees is extended from [0, 1] to complex plane with unit disk. These particular complex fuzzy sets plays a significant role in solving various decision making problems as these particular sets are powerful extensions of classical fuzzy sets. In this paper, we define ξ – CFS and propose the notion of complex fuzzy subgroups defined over ξ – CFS (ξ – CFSG) along with their various fundamental algebraic characteristics. We extend the study of this idea by defining the concepts of ξ – complex fuzzy homomorphism and ξ – complex fuzzy isomorphism between any two ξ – complex fuzzy subgroups and establish fundamental theorems of ξ – complex fuzzy morphisms. In addition, we effectively apply the idea of ξ – complex fuzzy homomorphism to refine the corrupted homomorphic image by eliminating its distortions in order to obtain its original form. Moreover, to view the true advantage of ξ – complex fuzzy homomorphism, we present a comparative analysis with the existing knowledge of complex fuzzy homomorphism which enables us to choose this particular approach to solve many decision-making problems.
Neural network classifier for automatic course-keeping based on fuzzy logic
Authors: Sedova Nelly , Sedov Viktor , Bazhenov Ruslan , Bogatenkov Sergey
Published: January 2021

The authors continued their research on the development of an intelligent automatic ships pilot containing a controller based on fuzzy logic. Its features are determined by the optimizer based on a genetic algorithm. It also contains a modular unit of neural network models of ship navigation paths, as well as a neural network classifier. This paper is devoted to the description of a neural network classifier designed to classify the movement patterns of marine vessels to identify the peculiarities of the ship depending on its type and sailing conditions. The introduction of such classifier to an autopilot allows for more precise consideration of multivariate and difficult to formalize factors affecting the vessel while operating, such as varying weather conditions, irregular waves, hydrodynamic characteristics of the vessel, draft, water under the keel, rate of the vessel sailing, etc. The article outlines the technique concerning the development of a neural network classifier and the results of its computer modelling on the example of a refrigerated transport vessel type. The authors used such methods for obtaining and processing findings as spectral estimation, machine learning methods, in particular, neural network technology and computer or simulation modelling.
Integrated security for data transfer and access control using authentication and cryptography technique for Internet of things
Authors: Sharma Santosh Kumar , Khuntia Bonomali
Published: January 2021

The entire world is running behind the smart technology to accomplish the daily needs in a smart way such as smart farming, smart irrigation system, smart transportation system, smart medical management, handling of smart home appliances, smart security, etc. Smart technology is the soul property of internet services and accessing data from virtual servers, which raises the alarm of security vulnerability and threats. In recommended system we have focused on application layer security which are concerned with application interface and queue manager for service exchange. As application layer is the closest to end user and produces the big threat to the application platform it motivates us to recommend strong multilevel security system to identify the different activity of handlers and identify their roles to enroute of accessing confidential data services. Subsequently, our work is to assure that every user should have an authentication key with specific privileges to get the desired information. In focus, we see the security management by integrating the Kerberos authentication protocol with honey encryption technique to provide strong multilevel security system.
A fuzzy gaussian rank aggregation ensemble feature selection method for microarray data
Authors: Venkatesh B. , Anuradha J.
Published: January 2021

In Microarray Data, it is complicated to achieve more classification accuracy due to the presence of high dimensions, irrelevant and noisy data. And also It had more gene expression data and fewer samples. To increase the classification accuracy and the processing speed of the model, an optimal number of features need to extract, this can be achieved by applying the feature selection method. In this paper, we propose a hybrid ensemble feature selection method. The proposed method has two phases, filter and wrapper phase in filter phase ensemble technique is used for aggregating the feature ranks of the Relief, minimum redundancy Maximum Relevance (mRMR), and Feature Correlation (FC) filter feature selection methods. This paper uses the Fuzzy Gaussian membership function ordering for aggregating the ranks. In wrapper phase, Improved Binary Particle Swarm Optimization (IBPSO) is used for selecting the optimal features, and the RBF Kernel-based Support Vector Machine (SVM) classifier is used as an evaluator. The performance of the proposed model are compared with state of art feature selection methods using five benchmark datasets. For evaluation various performance metrics such as Accuracy, Recall, Precision, and F1-Score are used. Furthermore, the experimental results show that the performance of the proposed method outperforms the other feature selection methods.
An approach for bibliographic citation sentiment analysis using deep learning
Authors: Muppidi Satish , Gorripati Satya Keerthi , Kishore B.
Published: January 2021

Sentiment analysis of scientific citations is a novel and remarkable research area. Most of the work on opinion or sentiment analysis has been suggested on social platforms such as Blogs, Twitter, and Facebook. Nevertheless, when it comes to recognizing sentiments from scientific citation papers, investigators used to face difficulties due to the implied and unseen natures of sentiments or opinions. As the citation references are reflected implicitly positive in opinion, famous ranking and indexing prototypes frequently disregard the sentiment existence while citing. Hence, in the proposed framework the paper emphasizes the issue of classifying positive and negative polarity of reference sentiments in scientific research papers. First, the paper scraps the PDF articles from arxiv.org under the computer science group consisting of articles that are comprised of ‘autism’ in their title, then the paper extracted cited references and assigns polarity scores to each cited reference. The paper uses a supervised classifier with a combination of significant feature sets and compared the performance of the models. Experimental results show that a combined CNN-LSTM deep neural network model results in 85% of accuracy while traditional models result in less accuracy.
A four-bar knee joint measurement walking system for prosthesis design
Authors: Zhang Yibin , Cao Wujing , Yu Hongliu , Meng Qiaoling , Lv Jie
Published: January 2021

BACKGROUND: Gait analysis is important for the lower limb prosthesis design. Simulating the natural motion of the human knee in different terrains is useful for the design and performance assessment of the prosthetic knee. OBJECTIVE: This study aimed to propose a four-bar knee joint measurement system which can simulate the natural knee motions to collect the kinetic parameters precisely and analyze the walking characteristics under different terrain conditions. METHODS: A low-cost four-bar knee joint mechanism was proposed and gait characteristics were assessed on level ground, ascending and descending stairs, and ascending and descending ramp. RESULTS: The initial knee flexion angle during stair ascent at heel strike is obviously larger than in other walking scenes. The stance phase accounts for 53% of a single gait cycle during stair descent, which is slightly lower than other walking scenarios. The period that both the hindfoot and forefoot contact the ground in ramp descent accounts for 18%, which is less than for the others. While the forefoot contacts the ground in ramp ascent, the maximum vertical ground reaction force of the forefoot occurs when the hindfoot and forefoot simultaneously contact the ground, whereas in other scenarios the forefoot contacts the ground solely. CONCLUSIONS: The four-bar knee joint can simulate the natural motion of the human knee accurately. The gait characteristics analysis of different walking scenarios indicated that the low-cost four-bar knee joint exoskeleton was suitable for human knee joint simulation.
OPEN GOVERNMENT PARTNERSHIP: LABORATÓRIO TEÓRICO COM A ANTROPOLOGIA DA TECNOLOGIA E A TEORIA ATOR-REDE
Authors: Souza Santos Matheus Henrique , Pavan Serafim Milena
Published: January 2021

O objetivo deste trabalho é analisar, no campo teórico, a elaboração do conceito de ator dentro dos estudos de Science, Technology and Society (STS) para entendimento da Open Government Partnership (OGP). A Parceria para Governo Aberto (OGP) é uma iniciativa política global fundada por sete países e que, atualmente, já consta com a participação de mais de 100 nações, sendo seu objetivo ressignificar as administrações públicas pelo fortalecimento da participação social, do combate à corrupção, com atuação mais eficiente e efetiva dos serviços e políticas públicas, ao passo que implementa novas tecnologias de informação e comunicação. Para tanto, esta reflexão teórica, busca responder à duas reflexões: (i) reconhecer e estudar a OGP como o ator e a (ii) importância da rede de atores para sua implementação nos países participantes. Para tanto, se opta pela abordagem dos estudos de STS no âmbito da antropologia da tecnologia e, em seguida, compreendendo o método científico Ator-Rede ou Semiótica Material. Nessa área de conhecimento, com seus conceitos e abordagens, é possível optarmos por uma análise descritiva da implementação da Open Government Partnership nas nações escolhidas (Brasil e México) entendendo que a própria OGP é ator principal que incide sobre a (s) rede (s) de outros atores, ao passo que estes também têm certa liberdade para adequarem segundo as necessidades, peculiaridades, objetivos e conjunturas que estão submetidos. Por essa razão, compreendemos ser este um caminho promissor de sequência da pesquisa de doutorado, somado a outros instrumentos e conceitos em formulação.
APRESENTAÇÃO DO DOSSIÊ DESDEMOCRACIA, NEOLIBERALISMO E PRECARIEDADE
Authors: Oliveira João Manuel de , Prado Marco Aurélio Máximo
Published: January 2021

DOSSIÊ DESDEMOCRACIA, NEOLIBERALISMO E PRECARIEDADE
AGÊNCIA, GÊNERO E SEXUALIDADE DISSIDENTES NA ESCOLA: EXPERIÊNCIAS DE JOVENS E PROFESSORES/AS EM MATO GROSSO DO SUL
Authors: Antunes Fabricio Pupo , Duque Tiago
Published: January 2021

O objetivo desse artigo é analisar as experiências positivas em relação a gênero e sexualidade dissidentes nas escolas de Mato Grosso do Sul. A metodologia utilizada foi a coleta de relatos de diferentes jovens e professores/as de instituições públicas e privadas por meio de um blog divulgado em atividades educativas e mídias sociais. Teoricamente as análises foram feitas a partir das teorias pós-críticas em educação. Mesmo em uma realidade demarcada pela heteronormatividade, os resultados apontam para as possibilidades de agência dos/as participantes em diferentes contextos escolares, especialmente em cidades do interior do estado.
Rating Scale Data and its Utility: Additional Evidence to be Explored in the Medical Education Continuum
Authors: Tendhar Chosang
Published: January 2021

The purposes of this study are to assess the utility of self-appraisals and ratings of program directors (PDs) and to introduce new ways to use self-assessed and rating scale data. The data for this study was collected from graduates of our school who were enrolled in different residency programs around the country. The interns and PDs completed a similar set of questions. The correlation between the ratings of the two group was .21. The Cronbach’s alpha of interns and PD surveys were .89 and .97, respectively. The interns consistently rated themselves lower compared to ratings the PDs assigned them. The two groups agreed on the areas of strengths and weaknesses based on their mean ratings and rank-ordering of competencies. This study proposes that lowest mean ratings of measures that appear at the bottom in the rank-ordering be considered as areas that deserve special attention. The results of this study brought validity evidence to the utility of self-appraisals and PD’s ratings of interns.
Higher Education Music Teacher Educators and Assessment: Their Understandings, Efficacy, and Satisfaction
Authors: Parkes Kelly Anne , Rawlings Jared Robert
Published: January 2021

In this study, we report what music teacher educators (MTEs, N = 149) in higher education understand about assessment. We include their assessment pedagogy, their levels of assessment pedagogy efficacy (APE) at both programmatic (unit level) and personal levels (ProAPE and PeAPE respectively), and the relationship this efficacy has with their (MTEs) satisfaction of assessment pedagogies within their institutions. This mixed-methods study uses a convergent parallel design, with qualitative inductive coding and quantitative factor analyses, correlational analyses, and non-parametric tests. We determine that MTEs report some misunderstanding of the assessment lexicon nevertheless they hold mostly high levels of both personal and programmatic assessment pedagogy efficacy. Differences were observed between MTEs that graduated after 2008 than those who graduated prior to 2008. Findings center on higher education faculty comfort with assessment in higher education with implications for professional development and continued research in the area.
CONTROL OF ADULT AND LARVAL AEDES ALBOPICTUS WITH ATTRACTIVE TOXIC SUGAR BAITS (ACTIVE INGREDIENT: CINNAMON-SESAME OIL) IN NORTHEASTERN FLORIDA
Authors: Traore Mohamed M.
Published: January 2021

Because traditional methods of mosquito control using insecticides has produced resistance, new methods that are environmentally friendly, sustainable and cost effective have been sought. One method, attractive toxic sugar baits (ATSB), uses the biological requirements, ecology, and behavior of mosquitoes to attract and kill them. In this study, the efficacy of a new ATSB active ingredient, microencapsulated cinnamon oil-plus-sesame oil, was tested in the laboratory and field against Aedes albopictus (Skuse) and the effect on non-target organisms was evaluated. The average mortality among groups of 20 third instar larvae after exposure to microencapsulated cinnamon-sesame oil ATSB in the laboratory for 48 h was high. Mortality at 10% and 1% ATSB concentration was 95.8% and 90.0% respectively and began to drop off (to 65%) at 0.1%. After application of the ATSB in the field, on day 11 of the study, the adult Ae. albopictus populations at the experimental site dropped significantly compared to pre-treatment levels and to the untreated control population. The differences between the control and the treated sites remained significant until the end of the study period on day 28. If used in accordance with label instructions and applied on non-flowering green vegetation, the potential impact on non-target populations was negligible with the exception of non-biting midges (Chironomidae). The synergistic effect of the attracting and killing adult mosquitoes as well as wash-off into part of the breeding sites with larvicidal cinnamon oil-plus-sesame oil product likely explains the high mortality of this ATSB formulation.
LABORATORY TOXICITY OF MOSQUITO ADULTICIDES TO THE ASIAN TIGER MOSQUITOES, AEDES ALBOPICTUS AND THE HONEY BEES, APIS MELLIFERA
Authors: Sanchez-Arroyo Hussein
Published: January 2021

Aedes albopictus and Apis mellifera were exposed to six insecticide active ingredients and five commercial insecticide formulations by topical application and insecticide-impregnated paper strips respectively to determine the differential toxicity and the potential use of the two methods in insecticide resistance monitoring surveys. By topical application deltamethrin was the most toxic active ingredient (LD 50 = 0.018 µg/g) for Ae. albopictus whereas chlorpyrifos was the least toxic (LD 50 = 0.499 µg/g). For Apis mellifera, the most toxic active ingredients were bifenthrin (LD 50 = 0.047 µg/g) and deltamethrin (LD 50 = 0.055 µg/g) while chlorpyrifos (LD 50 = 0.215 µg/g) and permethrin (LD 50 = 0.287 µg/g) had comparatively low toxicity. When the insecticide-impregnated method was used, Mosquito Mist (a.i. chlorpyrifos) was the most toxic commercial formulation for both Ae. albopictus (LC50 = 0.028 µg/cm2 ) and A. mellifera (LC50 = 0.059 µg/ cm2 ). Duet and DeltaGard showed the least toxicity (LC50 = 2.429 µg/cm 2 and LC50 = 0.491 µg/cm 2 respectively) for Ae. albopictus and DeltaGard was the least toxic to A. mellifera (LC50 = 18.09 µg/cm2 ).

When using the topical application method with insecticide active ingredients, more than 3 times permethrin and deltamethrin were required to obtain the same mortality rate in A. mellifera as in Ae. albopictus. However, chlorpyrifos was more toxic for A. mellifera than for Ae. albopictus. In the insecticide-impregnated paper-strip method with commercial insecticide formulations, more than 36 times of DeltaGard was required to obtain the same mortality rate in A. mellifera as in Ae. albopictus. Even though the Mosquito Mist is the most toxic commercial formulation for both insect species, A. mellifera were more than 2 times tolerant to this insecticide compared to Ae. albopictus.

The study concludes the active ingredient deltamethrin or its commercial formulation DeltaGard is the best among tested insecticides to control Ae. albopictus with minimal effects to A. mellifera.
EFFECT OF THE COMBINED NOZZLE ORIENTATION AND TRUCK SPEED ON EFFICACY OF ULTRA-LOW-VOLUME SPRAY AGAINST CAGED AEDES ALBOPICTUS IN URBAN GAINESVILLE, FLORIDA
Authors: Xiang Yongjing
Published: January 2021

A field study was conducted to evaluate the combined effect of nozzle orientation and vehicle travel speed on droplet dispersion and mosquito mortality of an adulticide applied from a truck mounted ULV sprayer in the City of Gainesville, Florida. Three multi-block areas with dense, medium, and sparse vegetation were selected for the study. Aqua-Reslin ® was applied in each area in the following treatment combinations: a) horizontal nozzle at 24 km/h travel speed, b) 45° upward orientation (standard) at 16 km/h, and c) 22.5° upward orientation at 24 km/h. Caged, three to five day old Aedes albopictus females were used in all evaluations. Spray deposition was determined at various locations inside each application area using Florida Latham Bonds droplet impingers. There was a significant difference in 24-h mortality among the 3 nozzle angle and speed treatment combinations, but not in the interaction between those combinations and application distance. The 22.5° nozzle combination resulted in the greatest mosquito mortality (88.3%) while the 45° combination resulted in the least mortality (63.1%). A significant difference in 24-h mortality among the 3 vegetation densities and application distances occurred with no significant interaction among these two parameters. The greatest Ae. albopictus mortality was recorded in the sparse (91.4%) and the lowest in the medium vegetation area (72.2%) at the maximum rate of 0.0015 lb./acre. Adulticide deposition was not significantly different among vegetation levels, but was significantly different among the distances and interactions of those parameters.
CHARACTERIZATION AND EFFICACY OF VECTOBAC ® WDG APPLICATIONS TARGETING CONTAINER-INHABITING MOSQUITOES USING AN UNMANNED AERIAL VEHICLE
Authors: Lucas Keira J.
Published: January 2021

Application of Bacillus thuringiensis israelensis (Bti)-based liquid larvicide for the control of container inhabiting mosquito species, such as Aedes aegypti, is typically performed through the use of portable sprayers, truck-mounted mist systems, or manned fixed and rotary-wing aircraft. Recently, unmanned aerial vehicles (UAV) have provided a new avenue for control material applications. Here we report the characterization and efficacy of Wide Area Larvicide Sprays (WALS™) applications of Vectobac® WDG using UAV technology. Collier Mosquito Control District’s PrecisionVision 13 UAV was outfitted with the PrecisionVision Liquid Application System using four flat-fan TeeJet nozzles capable of producing fine/extra fine droplets for WALS applications of Vectobac WDG at a rate of 0.5 lb/A. Droplet characterization and mortality assays indicated that we achieved nearly 100% efficacy within 30-40 ft swaths. Furthermore, semi-field tests indicated delivery of the control material with six to seven adjacent swaths of 30 ft to open bioassay containers at the desired application rate within a 1 A treatment block, which was supported by reduction of natural populations of container inhabiting mosquitoes in the treatment area.
Aliran Fluida Laminer Pada Pipa Non Horizontal
Authors: Basuki Imam , Susanto Fredy
Published: January 2021

aliran fluida dalam pipa nonhorizontal merupakan aliran dalam koordinat silindrikal merupakan aliran yang berkembang secara penuh dalam arah subu z.  dengan menerapkan prinsip-prinsip hokum kekekalan masa dan momentum, serta berpendekatan pada teorema gauss serta menentukan kondisi batas teoritisnya, maka aplikasi persamaan navier stoke menghasilkan gambaran nilai laju arah aliran fluida berkembang penuh dalam pipa, profile aliran berupa profil aliran hiperbolik dalam pipa alir, dan laju rata-rata volume fluida yang memiliki kekuatan laju dalam nilai kuadrat 4 nilai jari-jari pipa alirnya (a^4 ).
PENGARUH DUA HORMON PERTUMBUHAN DAN TIGA PUPUK KENDANG FORMULA PADA VARIETAS PAPAYA (CARICA PAPAYA L.) DI SIMPANG KIRI, KECAMATAN PELANGIRAN
Authors: Tedi Susilo, Mulono Apriyanto
Published: January 2021

Penelitian ini dilakukan di SMK Bakti Agro Plantation Kecamatan Pelangiran untuk menilai pertumbuhan dan produksi pepaya solo (Carica pepaya L., 2n = 18) di Kabupaten Indragiri Hilir serta pengaruh pemberian hormon dan pupuk kendang rumus. Perangkat plot terpisah, terdiri dari 2 faktor dengan masing-masing 3 tingkat variasi, digunakan. Utama Faktornya adalah hormon yang diwakili oleh asam giberelat (GA3) dan auksin sintetis Trichloro asam asetat fenoxi (2-4-5-T). Faktor sekunder adalah pupuk kandang yang terdiri dari bahan organic pupuk kandang (OF); pupuk organik + mineral (FOM) dan pupuk cair (FL). Tes ini ditandai dengan 9 pemeliharaan (GA3 + FO, GA3 + FOM (pupuk organik dan mineral), GA + FL (pupuk cair); 2-4-5-T + FO, 2-4-5-T + FOM, 2-4-5-T + FL; SH (tanpa hormon) + FO (pupuk organik); SH + FOM dan SH + FL). Bahwa dilakukan pada tanah hidromorfik tropis yang banyak mengandung besi dengan permukaan air yang kuat. Setiap perlakuan diaplikasikan pada 3 baris dari 4 tanaman. Dilihat dari penelitian aplikasinya kombinasi hormon (GA3 + 2-4-5-T) dan pupuk organik + formula pupuk kendang merangsang pertumbuhan dan aplikasi hormon (GA3 dan 2-4-5-T) pada pohon papaya mungkin untuk mengurangi penanaman - siklus pembungaan dan pengaturan awal buah.
PENGARUH PEMBERIAN ABU JANJANG KELAPA SAWIT TERHADAP PERTUMBUHAN DAN PRODUKSI JAGUNG MANIS (Zea mays saccharata sturt) DI LAHAN GAMBUT
Authors: Marlina
Published: January 2021

Penelitian dengan judul  Pengaruh Pemberian Abu Janjang Kelapa Sawit (AJKS) Terhadap Pertumbuhan dan Produksi Jagung Manis di Lahan Gambut  ini dilaksanakan dari  Bulan Oktober 2017 sampai Bulan Maret 2018 di parit 3 Kelurahan Tembilahan Hulu, Kecamatan Tembilahan Hulu Kabupaten Indragiri Hilir, analisis tanah dan AJKS dilakukan di Laboratorium Institut Pertanian Bogor. Tujuan dari Penelitian ini untuk mengetahui Pengaruh Pemberian AJKS Terhadap Pertumbuhan Dan Produksi Tanaman Jagung Manis (Zea mays saccharata sturt)) Di Lahan Gambut. Rancangan yang digunakan adalah Rancangan Acak Kelompok Non Faktorial yang terdiri dari 4 perlakuan dengan tiga kelompok/ulangan. Perlakuan yang diberikan adalah AJKS yang terdiri dari 4 taraf, yaitu:  : A0: 0 kg/ha, A1: 500 kg/ha, A2: 1000 kg/ha, A3: 1500 kg/ha. Berdasarkan hasil penelitian yang telah dilakukan,  terjadi  pengaruh nyata antara perlakuan pemberian AJKS terhadap semua parameter yang diamati kecuali pada jumlah tongkol pertanaman. Pemberian AJKS 1500 kg/ha memberikan hasil tertinggi pada semua parameter yang diamati kecuali pada jumlah tongkol.
PEMUPUKAN PADA TANAMAN KARET (Havea Brasiliesis) DI INSTALASI BENIH PERKEBUNAN KUALU PROVINSI RIAU
Authors: Kailani
Published: January 2021

Karet merupakan salah satu komoditi pertanian yang sangat penting, baik sebagi sumber pendapatan, kesempatan kerja, dan sumber devisa Negara. Indonesia merupakan Negara dengan luas areal perkebunan karet terbesar di dunia 3,4 hektar di ikuti Thailand 2,6 juta hektar dan Malaysia 1,02 juta hektar. Penelitian ini dilakukan Tempat dan waktu Penelitian/magang dilaksanakandi lahan instansi Benih Perkebunan Kualu Nenas , Kab Kamapr. Dilakukan pada tangal 08 Januari sampai dengan 08 Februari 2020 di Pekanbaru. Metode pelaksanaan Pada pelaksanaan kegiatan magang,penulis diberi kesempatan berkerja secara langsung dilapangan sebagai karyawan harian lepas dan mengikuti semua kegiatan selama 1  bulan. Pemupukan menurut pengertian khusus ialah pemberian bahan yang dimaksudkan untuk menyediakan hara bagi tanaman. Umum nya pupuk diberikan dalam bentuk padat ataupun cair melalui tanah yang di serap oleh akar tanaman. pemupukan yang dianjurkan oleh Balai Penelitian Karet Sembawa (2003), yaitu dengan dosis : Urea: 175 gram ph -1 aplikasi -1 , SP-36 : 130 gram ph -1 aplikasi -1 , dan KCl: 150 gram ph -1 aplikasi -1 .