The relationship between syntactic complexity and rhetorical move-steps in research article introductions: Variation among four social science and engineering disciplines
رابطه پیچیدگی نحوی و گامهای حرکت بلاغی در مقدمههای مقاله پژوهشی: تنوع در میان چهار رشته علوم اجتماعی و مهندسی-2021
This study investigates disciplinary variation in the relationship between syntactic complexity and rhetorical move-steps in research article (RA) introductions. Our data consisted of the introduction sections of 400 published RAs in two core social science disciplines, Anthropology and Sociology, and two core engineering disciplines, Chemical Engineering and Electrical Engineering. Each sample was manually annotated for rhetorical move-steps using an adapted version of Swales’ (2004) revised Create a Research Space model and assessed for syntactic complexity using multiple measures of global complexity, finite subordination, clausal elaboration, and phrasal complexity. Our results revealed significant disciplinary variation in terms of the syntactic complexity of sentences realizing each of six rhetorical move-steps commonly found in RA introductions. Our findings contribute to the emerging understanding of disciplinary variation in function-form mappings in RA writing and have useful implications for genre-based academic writing research and pedagogy.
Keywords: Academic writing | Disciplinary variation | Function-form mappings | Genre analysis | Linguistic features | Rhetorical goals
The architecture of accounting and the neoliberal betrayal of life
معماری حسابداری و خیانت نئولیبرالی از زندگی-2021
This paper identifies the way in which accounting practices reinforced the increasing influence of the intolerant financial emphasis of the market on the quality of social housing under neoliber- alism when successive British governments gave little importance to the impact of aesthetic and ethical qualities of social housing on the well-being of inhabitants. Social values, most especially safety and beauty, were able to be reinterpreted according to economic logic, thereby denying the need for them to be explicitly considered in any social housing decisions. The study emphasises the way in which the austerity and deregulation agenda of neoliberal policies that had a signif- icant impact on building and fire safety regulations were ultimately justified by financial criteria. The Grenfell Tower fire in 2017 belatedly exposed the way in which the financial and operational visibilities created by accounting practices had become crucial to the successful implementation of the economic logic of the neoliberal agenda and related market priorities of successive British governments, irrespective of the consequences. The paper demonstrates how the Grenfell Tower refurbishment was the apotheosis of neoliberalism; a toxic mix of austerity, outsourcing and deregulation. The focus on value for money in the refurbishment led ultimately to the betrayal of life of the residents.
keywords: حسابداری | برج گرنفل | مسکن اجتماعی | نئولیبرالیسم | فوکو | Accounting | Grenfell Tower | Social housing | Neoliberalism | Foucault
Three-month follow-up effects of a medication management program on nurses’ knowledge
اثرات پیگیری سه ماهه یک برنامه مدیریت دارو در دانش پرستاران-2021
This quasi-experimental study examined the effects of a medication management program on nurses knowledge of medication management, three months after program completion. Fifty-seven nurses took a multiple-choice test both immediately after the program and three months later. Changes in test performance were assessed using McNemar’s test and generalized estimating equations for binary outcomes. Test results were generally consistent from immediately post-program to three months later, though four items differed significantly. From immediately post-program to three months later, fewer nurses correctly answered the items: documenting no medication administration (98.2 vs 86.6, p = 0.04); documenting opioid administration (56.1 vs 33.3, p = 0.01); and observation after opioid administration (35.1 vs 19.3, p = 0.08. Significantly more nurses correctly answered the item concerning the pharmacology of medication administered with food (64.9 vs 77.2, p = 0.09). We recom- mend both continuous medication management training and focusing on the correspondence between theory- based knowledge and clinical practice routines.
keywords: پرستار بیمارستان | برنامه آموزشی | مدیریت دارو | دانش | Hospital nurse | Education program | Medication management | Knowledge
Person-identification using familiar-name auditory evoked potentials from frontal EEG electrodes
شناسایی فرد با استفاده از پتانسیل نام-آشنا شنوایی الکترودهای EEG جلو برانگیخته-2021
Electroencephalograph (EEG) based biometric identification has recently gained increased attention of re- searchers. However, state-of-the-art EEG-based biometric identification techniques use large number of EEG electrodes, which poses user inconvenience and consumes longer preparation time for practical applications. This work proposes a novel EEG-based biometric identification technique using auditory evoked potentials (AEPs) acquired from two EEG electrodes. The proposed method employs single-trial familiar-name AEPs extracted from the frontal electrodes Fp1 and F7, which facilitates faster and user-convenient data acquisition. The EEG signals recorded from twenty healthy individuals during four experiment trials are used in this study. Different com- binations of well-known neural network architectures are used for feature extraction and classification. The cascaded combinations of 1D-convolutional neural networks (1D-CNN) with long short-term memory (LSTM) and with gated recurrent unit (GRU) networks gave the person identification accuracies above 99 %. 1D-convolutional, LSTM network achieves the highest person identification accuracy of 99.53 % and a half total error rate (HTER) of 0.24 % using AEP signals from the two frontal electrodes. With the AEP signals from the single electrode Fp1, the same network achieves a person identification accuracy of 96.93 %. The use of familiar-name AEPs from frontal EEG electrodes that facilitates user convenient data acquisition with shorter preparation time is the novelty of this work.
Keywords: Auditory evoked potential | Biometrics | Deep learning | Electroencephalogram | Familiar-name | Person identification
Optimizing the electrical conductivity of polyacrylonitrile/polyaniline with nickel nanoparticles for the enhanced electrostimulation of Schwann cells proliferation
بهینه سازی رسانایی الکتریکی پلی اکریلونیتریل/پلی آنیلین با نانوذرات نیکل برای تحریک الکتریکی افزایش یافته تکثیر سلول های شوان-2021
Tissue engineering scaffolds made of biocompatible polymers are promising alternatives for nerve reparation. For this application, cell proliferation will be speeded up by electrostimulation, which required electrically-conductive materials. Here, a biomimicking scaffold with optimized conductivity was developed from electrospun polyacrylonitrile/electrically-conductive polyaniline (PAN/PANI) nanofibers doped with Ni nanoparticles. PAN/PANI/Ni was biocompatible for Schwann cells and exhibited a suitable tensile strength and wettability for cell proliferation. When compared with unmodified PAN/PANI, the electrical conductivity of PAN/PANI/Ni was 6.4 fold higher. Without electrostimulation, PAN/PANI and PAN/PANI/Ni exhibited similar Schwann cells’ proliferation rates. Upon electrostimulation at 100 mV cm1 for one hour per day over five days, PAN/PANI/Ni accelerated Schwann cells’ proliferation 2.1 times compared to PAN/PANI. These results demonstrate the importance of expanding the electrical conductivity of the tissue engineering scaffold to ensure optimal electrostimulation of nerve cell growth. Additionally, this study describes a straightforward approach to modulate the electrical conductivity of polymeric materials via the addition of Ni nanoparticles that can be applied to different biomimicking scaffolds for nerve healing.
Keywords: Nerve tissue engineering | Electrospinning | PAN/PANI | Ni nanoparticles | Schwann cells
Critical reflections of accounting and social impact (Part I)
بازتاب انتقادی حسابداری و تأثیر اجتماعی-2021
This special issue on Accounting and Social Impact consists of two parts that will be hosted in separate issues of the journal. Here in part I we introduce the concepts and themes of social impact, before analyzing how the exposure of researchers to impact assessment regimes introduces pressures on researchers to seek specific kinds of impact. We go on to discuss the various contributions included in this issue that cover themes of accountability, sustainability, control and gender in a diverse range of organizational forms that sit in the spheres of the public, private and third sectors. The second part, in a later issue, will examine how accountability, power and control issues create impacts in non-governmental and other not-for-profit organizations.
Comparative educational outcomes of an active versus passive learning continuing professional development activity on self-management support for respiratory educators: A non-randomized controlled mixed-methods study
نتایج آموزشی مقایسهای فعالیت توسعه حرفهای مستمر یادگیری فعال در مقابل غیرفعال بر حمایت خودمدیریتی از مربیان تنفسی: یک مطالعه با روشهای ترکیبی کنترلشده غیرتصادفی-2021
Aim: We compared educational outcomes associated with an active vs. passive continuing professional development activity on self-management support for respiratory educators. Background: There is a need to identify learning activities associated with the most successful continuing professional development programs for respiratory educators. Design: This was a non-randomized controlled mixed-methods study recruiting respiratory educators attending a continuing professional development activity on self-management support. Methods: In the experimental group, active learning methods (role-play simulations) were employed, whereas passive learning methods (lecture) were used in the comparison group. Educators were allocated to the comparison group (first 15 months of the study), then to the experimental group (last 17 months). Educators filled questionnaires measuring pre-/post-activity knowledge about self-management support (score 0–25) and selfreported competence (score 1–10). Scores were compared using mixed-effect models. Interviews with educators were conducted and content analysis was performed. Results: We recruited 94/94 educators (active: n = 51; passive: n = 43). Knowledge scores increased to a greater extent in the active vs. passive learning group (adjusted difference-in-difference [aDID]=2.01; 95% confidence interval [95%CI]: 0.14–3.88), although competence scores increased to a greater extent in the passive learning group (aDID=− 0.38; 95%CI: − 1.56 to − 0.04). Reflecting on their competence, educators of the active learning group identified the need to further improve their self-management support skills, whereas educators of the passive learning group did not. Conclusions: Our results show that an active learning continuing professional development activity on selfmanagement support could help educators to better apply knowledge and appears to engage them in a process of reflection on action.
keywords: Chronic obstructive pulmonary disease | Continuing education | Mixed methods | Patient education as topic | Self-management support
Managing micro and small enterprise supply chains: A multi-level approach to sustainability, resilience and regional development
مدیریت زنجیره تأمین شرکت های خرد و کوچک: رویکردی چند سطح برای پایداری ، انعطاف پذیری و توسعه منطقه ای-2021
Amidst the high number of frameworks associated with supply chain sustainability (SCS), proper consideration to the role and importance of micro and small enterprises (MSEs) has been missing in the literature. To address this research gap, this paper investigates the driving factors that support MSE supply chains to achieve sustainability. We employ institutional and complexity theories to broaden our understanding of the dynamics behind neglected supply chain structures, especially the ones predominantly formed by MSEs. An in-depth nested case study is carried out in a MSE supply chain in an emerging economy, where 33 supply chain players were involved in the data collection. Using a combination of deductive and inductive approaches to analyze the data, we find that to truly implement SCS, research and practice should consider not only the strategic, structural and process levels, but also the contextual level, which is critical dimension to SCS dynamics. Results show that MSE supply chains contribute significantly to regional socio-economic development due to their local roots and regional history. Also, findings demonstrate that MSE supply chains have enhanced resilience to crises (e.g., economic, political and other disruptions) because they are often focused on long-standing economic activities within the regional ecosystems. This paper contributes to theory by arguing that SCS is a much more complex phenomenon in practice than the current theory implies. Therefore, incorporating the diversity from reality and the peculiarities of MSE supply chains into the SCS debate helps the literature to get closer to the SCS practice.
Keywords: Supply chain sustainability | Micro and small enterprise supply chains | Supply chain resilience | Regional development | Emerging economy
A novel multi-lead ECG personal recognition based on signals functional and structural dependencies using time-frequency representation and evolutionary morphological CNN
تشخیص شخصی نوار قلب ECG مبتنی بر وابستگی های عملکردی و ساختاری سیگنالها با استفاده از نمایش فرکانس زمان و CNN مورفولوژیکی تکاملی-2021
Biometric recognition systems have been employed in many aspects of life such as security technologies, data protection, and remote access. Physiological signals, e.g. electrocardiogram (ECG), can potentially be used in biometric recognition. From a medical standpoint, ECG leads have structural and functional dependencies. In fact, precordial ECG leads view the heart from different axial angles, whereas limb leads view it from various coronal angles. This study aimed to design a personal biometric recognition system based on ECG signals by estimating these latent medical variables. To estimate functional dependencies, within-correlation and cross- correlation in time-frequency domain between ECG leads were calculated and represented in the form of extended adjacency matrices. CNN trees were then introduced through genetic programming for the automated estimation of structural dependencies in extended adjacency matrices. CNN trees perform the deep feature learning process by using structural morphology operators. The proposed system was designed for both closed-set identification and verification. It was then tested on two datasets, i.e. PTB and CYBHi, for performance evaluation. Compared with the state-of-the-art methods, the proposed method outperformed all of them.
Keywords: Biometrics | Electrocardiogram | Functional dependencies | Structural dependencies | Genetic programming | Convolutional neural networks
Chemical adsorption on 2D dielectric nanosheets for matrix free nanocomposites with ultrahigh electrical energy storage
جذب شیمیایی روی نانوصفحات دی الکتریک دوبعدی برای نانوکامپوزیت های بدون ماتریس با ذخیره انرژی الکتریکی فوق العاده بالا-2021
Relaxor ferroelectric polymers display great potential in capacitor dielectric applications because of their excellent flexibility, light weight, and high dielectric constant. However, their electrical energy storage capacity is limited by their high conduction losses and low dielectric strength, which primarily originates from the impact-ionization-induced electron multiplication, low mechanical modulus, and low thermal conductivity of the dielectric polymers. Here a matrix free strategy is developed to effectively suppress electron multiplication effects and to enhance mechanical modulus and thermal conductivity of a dielectric polymer, which involves the chemical adsorption of an electron barrier layer on boron nitride nanosheet surfaces by chemically adsorbing an amino-containing polymer. A dramatic decrease of leakage current (from 2.4 106 to 1.1 107 A cm2 at 100 MV m1) and a substantial increase of breakdown strength (from 340 to 742 MV m1) were achieved in the nanocompostes, which result in a remarkable increase of discharge energy density (from 5.2 to 31.8 J cm3). Moreover, the dielectric strength of the nanocomposites suffering an electrical breakdown could be restored to 88% of the original value. This study demonstrates a rational design for fabricating dielectric polymer nanocomposites with greatly enhanced electric energy storage capacity.
Keywords: Boron nitride nanosheets | Electron barrier layer | Relaxor ferroelectric polymers | Nanocomposites | Electrical energy storage