bluuebunny/crossref_metadata_2025 huggingface dataset:
The New Zealand Podiatry Profession – A Workforce in Crisis?
Authors: Carroll Matthew , Jepson Hannah , Molyneux Prue , Brenton-Rule Angela
Published: August 2020

BackgroundThis is the first study to explore workforce data from the Podiatrists Board of New Zealand. The study analysed data from an online survey, New Zealand podiatrists complete as part of their application for an Annual Practising Certificate.MethodsSurvey responses between 2015 and 2019 were analysed. Data was related to work setting, employment status, work hours, location, professional affiliations, and number of graduates entering practice. Survey data was downloaded by a second party who provide data security for the Podiatrists Board of New Zealand workforce data. All data supplied for analysis was deidentified and could not be re-linked to an individual practitioner.ResultsIn 2019 there were 430 podiatrists who held an Annual Practising Certificate. Eighty percent of New Zealand podiatrists work in private practice with 8% employed in the public health sector. Podiatrist’s work is a mix of general podiatry, diabetes care and sports medicine. The majority are self-employed (40%) or business owners (19%). Approximately 40% work between 31 to 40 hours per week and 46 to 50 weeks per year. The majority are female (67%) with most practising in the North Island (69%) and located in the Auckland region (33%). On average 76% of new graduates were issued an Annual Practising Certificate between 2015 and 2019.ConclusionThe New Zealand podiatry profession is small and growing at a slow rate, consequently there is evidence of a workforce shortage. To maintain a per-capita ratio of podiatrists approximate to Australia and the United Kingdom an additional 578 podiatrists are required in the New Zealand workforce. There are not enough new graduate practitioners entering the workforce and once practising, the majority enter private practice in the face of limited public health employment opportunities.
Mesenchymal stem cell enhances the function of MDSCs in experimental Sjögren syndrome mice
Authors: Tian Jie , Hong Yue , Zhu Qiugang , Zhou Huimin , Zhang Yidan , Shen Ziwei , Guo Hongye , Zhang Yue , Rui Ke , Xu Huaxi , Wang Shengjun
Published: August 2020

Background

Primary Sjögren’s syndrome (pSS) is a chronic systemic autoimmune disease characterized by lymphocytic infiltrates in exocrine glands. Mesenchymal stem cells (MSCs) have been proved to be effective in the treatment of different autoimmune diseases. Although MSC transplantation has been demonstrated to be an effective therapeutic approach to treat SS, the underlying mechanisms are still elusive. Our previous study has identified the reduced suppressive capacity of MDSCs advanced the progression of experimental Sjögren’s syndrome (ESS).
Methods

The ESS mouse model was induced with murine salivary glands proteins emulsified in an equal volume of Freund’s adjuvant. Both frequency and phenotype of MDSCs during ESS development in mice were analyzed by flow cytometry. The suppressive capacity of MDSCs was examined by CD4+ T cell proliferation test, CFSE-labelled CD4+ T cell was analyzed by flow cytometry. Both phenotype and function of MDSCs upon MSCs treatment were analyzed in vitro and in vivo. The function of MSCs in modulating the suppressive function of MDSCs was further evaluated by silencing TGF-β in MSCs.
Results

In this study, we found that BM-MSCs significantly enhanced the suppressive function of MDSCs (PMN-MDSCs/M-MDSCs) with high levels of Arginase and NO, decreased the levels of CD40, CD80, CD86 and MHC-II expression on MDSCs, thus attenuating the disease progression in ESS mice. Furthermore, the enhanced suppressive function of MDSCs was mediated by BM-MSC-secreted TGF-β, and the therapeutic effect of BM-MSCs in inhibiting ESS was almost abolished after silencing TGF-β in BM-MSCs.
Conclusions

Taken together, our results demonstrated that BM-MSCs alleviated the ESS progression by up-regulating the immunosuppressive effect of MDSCs through TGF-β/Smad pathway, offering a novel mechanism for MSCs in the treatment of pSS.
Graphdiyne-Based Ultra-Responsive Artificial Synapse with Multi-Ion Diffusive Dynamics for Mimicking Efferent Nerves
Authors: Wei Huanhuan , Shi Rongchao , Sun Lin , Yu Haiyang , Gong Jiangdong , Liu Chao , Xu Zhipeng , Ni Yao , Xu Jialiang , Xu Wentao
Published: August 2020

Somatosensory nerves require synapses to respond efficiently and in parallel for receving and transmiting biological signals. The gap between biological systems and conventional electronics needs ionotronics to bridge. However, the exploration of new materials and the systematic construction of ionotronics still pose challenges. Graphdiyne, a highly π-extended two-dimensional (2D) carbon allotrope, has demonstrated potential applications in ionic peripheral systems for its inherent network holes that can be used for rapid and selective transmission of diverse ions. Here, a graphdiyne-based artificial synapse (GAS), exhibiting intrinsic short-term plasticity, has been proposed to mimic the biological signal transmission behaviors. An record-breaking impulse responsiveness (±5 mV) that is an order of magnitude exceeding biological level has been realized for ultra-sensitive and power-efficient brain-inspired applications, with the lowest femtowatt-level consumption (~16.7 fW). Most importantly, GAS is capable of parallelly processing signals transmitted from multiple preneurons and therefore realizing dynamic logics and spatiotemporal rules. In a proof-of-concept demonstration, our artificial efferent nerve, connecting GAS with artificial muscles, completes the information integration of preneurons and the information output of motor neurons, which is advantageous for coalescing multiple sensory feedbacks (e.g., visual and tactile) and reacting to these events. Our synaptic element has potential applications in bioinspired peripheral nervous systems of soft electronics and neurorobotics.
Body Composition and Bioelectrical Impedance Analysis-Derived Raw Variables in Pole Dancers
Authors: Ballarin Giada , Scalfi Luca , Monfrecola Fabiana , Alicante Paola , Bianco Alessandro , Marra Maurizio , Sacco Anna Maria
Published: August 2020

Background: Pole dance is a type of functional training whose effects on body composition have been only poorly explored. Bioelectrical impedance analysis (BIA)is a field method to estimate fat-free mass (FFM), fat mass (FM), etc. In addition, of particular interest for athletes, raw BIA variables such as impedance ratio =IR (between impedance-Z at high frequencies and Z at low frequencies) and phase angle=PhA may be considered as promising markers of muscle quality since they arerelated to body cell mass (BCM) and the ratio between extracellular water and intracellular water.The aim of the study was to evaluate the effect of pole dancing training on body composition and especially on IR and PhA of the whole body, upper limbs and lower limbs. Methods: Forty female pole dancers (age 27.4±5.1 years, body weight 57.0±6.9 kg, body mass index-BMI 22.2±2.3 kg/m²) and fifty-nine control young women (26.8±4.7 years, 58.6±6.4 kg, BMI 22.3±1.8 kg/m²) participated in the study.BIA was performed on the whole body, upper limbs and lower limbs at 5-50-100-250 kHz. FFM, FFM index, FMand percentage of FM were then predicted. Raw BIA variables were also considered: IR and PhA, and also bioelectrical impedance indexes (stature²/Z, related to body water compartments). Arm muscle area (AMA) and arm fat area (AFA) were calculated from triceps skinfold and arm circumference. Results: Compared to controls pole dancers exhibited higher FFM index and BI indexes at low and high frequencies as well as lower percentage of FM. Whole-body BI indexes correlated with AMA but not with AFA. PhA was greater and IRs were smaller in pole dancers than controls for the whole body and more markedly for upper limbs, whereas there were no differences for lower limbs. When considering training level, professional and amateur pole dancers did not differ with respect to body weight and BMI. After adjusting for weight, FFM and FFMI were greater in the more trained than in the less trained group, while FM and %FM were smaller. Whole-body PhA and IRs as well as BI indexes tended to be higher in the professionalsthan amateurs, with much more significant differences in upper limb PhA and IRs. Conclusions: Pole dance training has a significant effect, possibly depending also on training level, not only on FFM and FM, but also on those raw BIA variables that may be considered as markers of muscle quality.
Working Memory Deficits in Schizophrenia Are Associated With the Rs34884856 Variant and Expression Levels of the NR4A2 Gene in a Sample Mexican Population: A Case Control Study
Authors: Ruiz-Sánchez Elizabeth , Jiménez-Genchi Janet , Alcántara-Flores Yessica M. , Castañeda-González Carlos J. , Aviña-Cervantes Carlos L. , Yescas Petra , González-Valadez María del Socorro , Martínez-Rodríguez Nancy , Ríos-Ortiz Antonio , González-González Martha , López-Navarro María E. , ROJAS PATRICIA
Published: August 2020

Background
Cognitive functions represent useful endophenotypes to identify the association between genetic variants and schizophrenia. In this sense, the NR4A2 gene has been implicated in schizophrenia and cognition in different animal models and clinical trials. We hypothesized that the NR4A2 gene is associated with working memory performance in schizophrenia. This study aimed to analyze two variants and the expression levels of the NR4A2 gene with susceptibility to schizophrenia, as well as to evaluate whether possession of NR4A2 variants influence the possible correlation between gene expression and working memory performance in schizophrenia.
Methods
The current study included 187 schizophrenia patients and 227 controls genotyped for two of the most studied NR4A2 genetic variants in neurological and neuropsychiatric diseases. Genotyping was performed using High Resolution Melt and sequencing techniques. In addition, mRNA expression of NR4A2 was performed in peripheral mononuclear cells of 112 patients and 118 controls. A group of these participants, 54 patients and 87 controls, performed the working memory index of the WAIS III test.
Results
Both genotypic frequencies of the two variants and expression levels of the NR4A2 gene showed no significant difference when in patients versus controls. However, patients homozygous for the rs34884856 promoter variant showed a positive correlation between expression levels and auditory working memory. In these patients, a decrease of NR4A2 mRNA expression was related to working memory impairment.
Conclusions
Our finding suggested that changes in expression levels of the NR4A2 gene could be associated with working memory in schizophrenia depending on patients´ genotype in a sample from a Mexican population.
A novel prognostic model predicts overall survival in patients with nasopharyngeal carcinoma based on clinical features and blood biomarkers
Authors: Lai Changchun , Zhang Chunning , Lv Hualiang , Huang Hanqing , Ke Xia , Zhou Chuchan , Chen Hao , Chen Shulin , Zhou Lei
Published: August 2020

Background: To develop and validate a novel prognostic model to estimate overall survival (OS) in nasopharyngeal carcinoma (NPC) patients based on clinical features and blood biomarkers. And assess its incremental value to TNM staging system, clinical treatment, and Epstein-Barr virus DNA (EBV DNA) for individual OS estimation.Methods: We retrospectively analyzed 519 consecutive NPC. A prognostic model was generated by using the Lasso regression model in training cohort (n = 346). Then comparison of predictive accuracy between the novel prognostic model, TNM staging, clinical treatment, and EBV DNA using concordance index (C-index), time-dependent ROC (tdROC), and decision curve analysis (DCA). Subsequently, a nomogram for OS incorporating the prognostic model, TNM staging and clinical treatment was built. Finally, we stratified patients into high- risk and low-risk groups according to the model risk score, and the survival time of these two groups was analyzed using Kaplan–Meier survival plots. All the results were validated in the independent validation cohort (n = 173).Results: Using the Lasso regression, a prognostic model was established consisting of 13 variables with respect to patient prognosis. The C-index, tdROC and DCA all showed the prognostic model had good predictive accuracy and discriminatory power than TNM staging, clinical treatment and EBV DNA in training cohort. Nomogram consisting of the prognostic model, TNM staging, clinical treatment and EBV DNA shown some superior net benefit. According to the model risk score, we split the patients into two subgroups: low- risk (risk score ≤ -1.423) and high-risk (risk score > -1.423). There had significant differences in OS between the two subgroups of patients. In the validation cohort, similar results were obtained.Conclusions: The proposed novel prognostic model based on clinical features and serological markers represents a promising signature for estimating OS in NPC patients.
Auricular Acupuncture for Preoperative Anxiety - Protocol of Systematic Review and Meta-Analysis of Randomized Controlled Clinical Trials.
Authors: Dietzel Joanna , Cummings Mike , Hua Kevin , Hahnenkamp Klaus , Brinkhaus Benno , Usichenko Taras
Published: August 2020

Background: Preoperative anxiety causes a profound psychological and physiological reactions, that may lead to a worse postoperative recovery, higher intensity of acute and persistent postsurgical pain and impaired quality of life in the postoperative period. Previous randomized controlled trials (RCTs) suggest that auricular acupuncture (AA) is safe and effective in treatment of preoperative anxiety; a systematic evidence on this topic is missing. Therefore, this protocol was developed following the PRISMA guidelines to adequately evaluate the existing literature regarding the value of AA for the reduction of anxiety in patients in a preoperative setting, compared to other forms of acupuncture or pharmacological or no control interventions and measured with questionnaires regarding anxiety and fear. Methods and analysis: The following databases will be searched: MEDLINE (PubMed), EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL), ISI Web of Science, Scopus Database and Google search. RCTs will be included if an abstract is available in English. Data collection and analysis will be conducted by 2 reviewers independently. Quality and risk assessment of included studies will be done using the Cochrane 5.1.0 handbook criteria and meta-analysis of effectiveness and symptom scores will be conducted using the statistical software RevMan V.5.3.Ethics and dissemination: This systematic review will evaluate the efficacy and safety of AA for preoperative anxiety. Since all data used in this systematic review and meta-analysis have been published, this review does not require ethical approval. The results may be published in a peer-reviewed journal or be presented in relevant conferences.Registration number: PROSPERO ID CRD42020184795
Effects of Three Plantation Coniferous Species on Plant-Soil Feedbacks and Soil Physical and Chemical Properties in Semi-Arid Mountain Ecosystems
Authors: Han Chun , Liu Yongjing , Zhang Cankun , Li Yage , Zhou Tairan , Khan Salman , Chen Ning , Zhao Changming
Published: August 2020

Background: Large-scale afforestation can significantly change ground cover and soil physicochemical properties, especially the soil fertility maintenance and water conservation function of artificial forest is very important in semi-arid mountain ecosystems. To better understand the effects of different tree growth on soil nutrient and soil physicochemical properties following afforestation to determine the best plantation tree species for improving soil fertility and water conservation functions. Methods: This study investigated the soil nutrient contents for three different tree species (Larix principis-rupprechtii, Picea crassifolia, Pinus tabuliformis), soils and plant-soil feedbacks, as well as the interaction between soil physicochemical properties. Results: The results revealed that the leaf and litter layer strongly influences soil nutrient availability through biogeochemical processes: P. tabuliformis has higher organic carbon, C:N and C:P in the leaves and litter layer than L. principis-rupprechtii or P. crassifolia, suggesting that higher C:N and C:P hinder litter decomposition. As a result, the L. principis-rupprechtii and P. crassifolia plantation forests significantly improve soil nutrients and clay component than P. tabuliformis plantation forest. Furthermore, the the L. principis-rupprechtii and P. crassifolia plantation forests significantly improved the soil capacity, soil total porosity and capillary porosity, decreased soil bulk density, and enhanced water storage capacity than P. tabuliformis plantation forest. In conclusion, the results of this study show that the strong link between plants and soil is tightly coupled to C:N and C:P, and there had strong correlation between soil particle size distribution and soil physicochemical properties. Conclusions: Therefore, our results recommend planting the L. principis-rupprechtii and P. crassifolia as the preferred tree species to enhance the soil fertility and water conservation functions, especially in semi-arid regions mountain forest ecosystems.
Impact of factors on fair value accounting: empirical study in Vietnam
Authors: Thi Ngoc Bui
Published: August 2020

Due to the ongoing process of globalization, enterprises need to provide financial statements in accordance with international practices, in which information about assets and liabilities should be presented at fair values rather than at original prices. Fair value is supported by the International Accounting Standards Board and the Financial Accounting Standards Board. The purpose of this study is to evaluate the adoption of fair value accounting in Vietnam and the impact of factors on the adoption of fair value. The paper used the analytical framework of previous studies to identify factors affecting the adoption of fair value. Additionally, this study applied quantitative research methods and collected data by sending questionnaires to 127 accountants and directors of listed companies. Particularly, binary logistic regression was conducted to investigate the extent of the impact of each factor on the adoption of fair value. The results have shown that human resources have the strongest and positive impact on the adoption of fair value, and this is followed by the benefits of fair value. Difficulties and markets negatively affect the use of fair value. Furthermore, the control variables that affect the use of fair value are sector, size and length of operation with different levels of impact. The accuracy rate of the overall predictive model is 85.8%. The findings provide guidance of the application of fair value accounting in companies and give recommendations to policy makers in establishing a legal accounting framework in Vietnam.
DA CAPACIDADE DA PESSOA COM DEFICIÊNCIA PARA O EXERCÍCIO DO DIREITO À FAMÍLIA E SUAS SINGULARIDADES NO BRASIL
Authors: Santos Alcineia Rodrigues dos , Silva Aurélia Carla Queiroga da , Melo Mariana Albuquerque
Published: August 2020

A Constituição Federal de 1988 possui por fundamento a dignidade humana e, nesta perspectiva, garante a cada um a proteção à personalidade jurídica individual, da qual emanam os atos negociais e existenciais próprios. Com a Lei n. 13.146/2015, as pessoas com deficiência passam a ser consideradas plenamente capazes de fato, na área do Direito Civil. Busca-se analisar, pelo método dedutivo, as inovações legais em prol da difusão dos direitos fundamentais da pessoa com deficiência, sobretudo, no que concerne ao exercício do direito à família e à afetividade. Do exposto, verifica-se que as recentes alterações normativas estimulam a cultura inclusiva e atuam decisivamente na concretização da atuação cidadã das pessoas com deficiência, pela realização autônoma das atividades cotidianas simples e complexas, com repercussões nas realidades jurídica e prática.
Formation of the Power Structures and Policies in Crimea During the Transition Period: 2014 – 2016
Authors: Demydova Viktoriia
Published: August 2020

In March 2014 following the military intervention of the Russian troops into the Autonomous Republic of Crimea, the latter announced its independence and, through the illegal referendum, declared its entrance into the Russian Federation. The period between 2014 and 2016 this article concentrates on is considered as transitional period insofar as the most important issues were to be solved. Among them, one can name the formation of the institutions and legal framework, new appointments and political elites. This article argues that the main objective of Kremlin during the mentioned period was rapid and unobstructed inclusion of Crimea into the Russian Federation after the military invasion and annexation. While Moscow aimed at accelerated creation of the institutions and legislative base in Crimea, it filled Crimea with the Russian elites removing all local professionals. At the same time, Moscow not only neglected the issues of the human rights and rights of minorities but tried to prevent the emergence of the opposition voices. Author employs analysis of the legislation related to the transition period as well as the media coverage of the issues.
Analysis of Management Approaches in terms of Human Resources Strategies to realize Healthy and Successful Organizations
Authors: Tiftik Canan
Published: August 2020

Organizations that may want to have a healthy work environment and success can be able to realize that through having proper human resources management. The objective of the study was thus to investigate the management approaches that can be adopted by healthy and successful organizations in terms of human resources management strategies. The methodology of the study involved the use of secondary data to analyze the human resources management approaches and success of organizations in the long run. The specific areas that were analyzed involved the management of employees, the leadership approach, and organization structure. The findings showed that Walmart adequately managed its employees through its recruiting, training, and development of employees. The findings also revealed that a visionary and transformative leadership and a hierarchical functional organizational structure can result in a healthy and successful organization. The healthcare industry was also investigated to determine the critical factors that could result in a successful organization. From the analysis, it was also revealed that management of employees through training and a leadership that emphasized on emotional intelligence and transformational leadership was critical to realize a successful organization.
Regulatory Sandboxes: A Cure for mHealth Pilotitis?
Authors: Bhatia Abhishek , Matthan Rahul , Khanna Tarun , Balsari Satchit
Published: August 2020

Mobile health (mHealth) and related digital health interventions in the past decade have not always scaled globally as anticipated earlier despite large investments by governments and philanthropic foundations. The implementation of digital health tools has suffered from 2 limitations: (1) the interventions commonly ignore the “law of amplification” that states that technology is most likely to succeed when it seeks to augment and not alter human behavior; and (2) end-user needs and clinical gaps are often poorly understood while designing solutions, contributing to a substantial decrease in usage, referred to as the “law of attrition” in eHealth. The COVID-19 pandemic has addressed the first of the 2 problems—technology solutions, such as telemedicine, that were struggling to find traction are now closely aligned with health-seeking behavior. The second problem (poorly designed solutions) persists, as demonstrated by a plethora of poorly designed epidemic prediction tools and digital contact-tracing apps, which were deployed at scale, around the world, with little validation. The pandemic has accelerated the Indian state’s desire to build the nation’s digital health ecosystem. We call for the inclusion of regulatory sandboxes, as successfully done in the fintech sector, to provide a real-world testing environment for mHealth solutions before deploying them at scale.
Conversational Agents in Health Care: Scoping Review and Conceptual Analysis (Preprint)
Authors: Tudor Car Lorainne , Dhinagaran Dhakshenya Ardhithy , Kyaw Bhone Myint , Kowatsch Tobias , Joty Shafiq , Theng Yin-Leng , Atun Rifat
Published: August 2020

BACKGROUND

Conversational agents, also known as chatbots, are computer programs designed to simulate human text or verbal conversations. They are increasingly used in a range of fields, including health care. By enabling better accessibility, personalization, and efficiency, conversational agents have the potential to improve patient care.

OBJECTIVE

This study aimed to review the current applications, gaps, and challenges in the literature on conversational agents in health care and provide recommendations for their future research, design, and application.

METHODS

We performed a scoping review. A broad literature search was performed in MEDLINE (Medical Literature Analysis and Retrieval System Online; Ovid), EMBASE (Excerpta Medica database; Ovid), PubMed, Scopus, and Cochrane Central with the search terms “conversational agents,” “conversational AI,” “chatbots,” and associated synonyms. We also searched the gray literature using sources such as the OCLC (Online Computer Library Center) WorldCat database and ResearchGate in April 2019. Reference lists of relevant articles were checked for further articles. Screening and data extraction were performed in parallel by 2 reviewers. The included evidence was analyzed narratively by employing the principles of thematic analysis.

RESULTS

The literature search yielded 47 study reports (45 articles and 2 ongoing clinical trials) that matched the inclusion criteria. The identified conversational agents were largely delivered via smartphone apps (n=23) and used free text only as the main input (n=19) and output (n=30) modality. Case studies describing chatbot development (n=18) were the most prevalent, and only 11 randomized controlled trials were identified. The 3 most commonly reported conversational agent applications in the literature were treatment and monitoring, health care service support, and patient education.

CONCLUSIONS

The literature on conversational agents in health care is largely descriptive and aimed at treatment and monitoring and health service support. It mostly reports on text-based, artificial intelligence–driven, and smartphone app–delivered conversational agents. There is an urgent need for a robust evaluation of diverse health care conversational agents’ formats, focusing on their acceptability, safety, and effectiveness.
Dynamic Interactive Social Cognition Training in Virtual Reality (DiSCoVR) for People With a Psychotic Disorder: Single-Group Feasibility and Acceptability Study (Preprint)
Authors: Nijman Saskia Anne , Veling Wim , Greaves-Lord Kirstin , Vos Maarten , Zandee Catharina Elizabeth Regina , Aan het Rot Marije , Geraets Chris Neeltje Wil , Pijnenborg Gerdina Hendrika Maria
Published: August 2020

BACKGROUND

People with a psychotic disorder commonly experience problems in social cognition and functioning. Social cognition training (SCT) improves social cognition, but may inadequately simulate real-life social interactions. Virtual reality (VR) provides a realistic, interactive, customizable, and controllable training environment, which could facilitate the application of skills in daily life.

OBJECTIVE

We developed a 16-session immersive VR SCT (Dynamic Interactive Social Cognition Training in Virtual Reality [DiSCoVR]) and conducted a single-group feasibility pilot study.

METHODS

A total of 22 people with a psychotic disorder and reported problems in social cognition participated. Feasibility and acceptability were assessed using a survey for participants and therapists, and by examining relevant parameters (eg, dropouts). We analyzed preliminary treatment effects on social cognition, neurocognition, and psychiatric symptoms.

RESULTS

A total of 17 participants completed the study. Participants enjoyed DiSCoVR (mean 7.25, SD 2.05; range 3-10), thought it was useful for daily social activities (mean 7.00, SD 2.05; range 3-10), and enjoyed the combination of VR and a therapist (mean 7.85, SD 2.11; range 3-10). The most frequently mentioned strength of DiSCoVR was the opportunity to practice with personalized social situations (14/20, 70%). A significant improvement of emotion perception was observed (Ekman 60 Faces; t16=–4.79, P<.001, d=–0.67), but no significant change was found in other measures of social cognition, neurocognition, psychiatric symptoms, or self-esteem.

CONCLUSIONS

DiSCoVR was feasible and acceptable to participants and therapists, and may improve emotion perception.
Enterprise Architecture for Accounting and Finance Transformation: Using Strategy Maps to Develop High-Performance Finance
Authors: O'Leary Daniel E.
Published: August 2020

Enterprise architecture has received limited attention in the accounting information systems literature. However, enterprise architecture can provide an important approach for transforming an organization and bringing strategy into organizations. Recently, The Hartford implemented an approach that used Kaplan and Norton's (2004) well known “strategy maps” as part of the enterprise architecture process to transform the finance department and embed strategy into accounting and finance. The process generated a creative future state that included a linear flow of information that mirrored the information life cycle, while providing a “single source of truth” archive for financial information. This paper reviews and analyzes The Hartford's unique use of strategy maps to redesign the finance function in order to attain “high performance finance.” In so doing, the paper investigates a unique approach, an “innovative practice,” that allows grounding accounting and financial information systems in an organization's strategy formulation process.
Prototype Solar Tracker Dua Sumbu Berbasis Microcontroller Arduino Nano dengan Sensor LDR
Authors: Asmi Jhefri , Candra Oriza
Published: August 2020

Kebutuhan masyarakat akan listrik semakin tinggi, sehingga sumber energi alternatif seperti panas matahari diperlukan untuk menggantikan sumber energi yang berasal dari bahan bakar fosil dalam memenuhi kebutuhan listrik. Dalam tulisan ini kami membuat desain pelacak surya dua sumbu dengan sensor LDR. Penelitian ini membahas Prototipe Sistem Pelacakan Matahari dalam Sistem Pembangkit Listrik Tenaga Surya Berbasis Arduino untuk mendapatkan energi surya maksimum. Sistem ini akan membuat panel surya bergerak mengikuti gerakan matahari, sehingga penyerapan sinar matahari dapat dimaksimalkan. Agar panel surya dapat bergerak mengikuti sinar matahari, maka kita membutuhkan sistem kontrol otomatis. Kontrol utama menggunakan Arduino nano yang mendapat nilai input dari sensor LDR kemudian diproses ke sistem output. Dengan metode sistem kontrol secara otomatis dapat terlihat perbedaan hasil panel surya tetap dengan panel surya dengan tracker, dari perbandingan panel surya dengan tracker lebih optimal dalam menerima sinar matahari dibandingkan dengan panel surya tetap.
HOW IS THE SHOCK OF THE MACRO ECONOMICS VARIABLES AND WORLD OIL PRICE EFFECTED THE YIELD OF INDONESIA GOVERNMENT BOND INDEX (INDOBEXGB)?
Authors: Rahmatika Nurlia
Published: August 2020

This study aims to measure how is the shock of the macro economics variables and world oil price effected the yield of indonesia government bond index (INDOBEXGB). The research methodology used is quantitative method uses time series data. The source of the data derived with monthly data and secondary data from Bank Indonesia (BI), Central Bureau of Statistics (BPS), Indonesia Bond Pricing Agency (IBPA) and Bloomberg. This research is analyzed by using Vector Error Correction Model (VECM) since there is cointegrated variables which could be seen in Trace Statistic and Max-Eigenvalues Statistic is greater than Critical Value. The result of the analysis shows that the shock of macro economics variables money supply and forex reserves give a negative and significant effect to yield on Indonesia Government Bond Index (INDOBEXGB). Whereas the shock of macro economics variables consumer price index, BI rate, exchange rate, and world oil prices each give a positive and significant effect to Indonesia Government Bond Index (INDOBEXGB).
Android Mobile Application for Promotion of Pangandaran Leading Tourism in Augmented Reality Technology
Authors: Kurniawan Ady Purna , Octaviany Vany , Intani Putri Danica Rani , Ikhsan Budi , Adianto Dimas
Published: August 2020

The use of smartphone devices has become a part of people's lives in finding the information they need, including finding tourist locations that suit their desires. The problem is when tourism site managers cannot keep up with technological developments needed by the community, where most still use conventional paper media marketing methods such as brochures and travel pocketbooks. Therefore, the development of tourism promotion applications is needed to support the marketing of tourist destinations such as in Pangandaran, West Java. This application's development uses the Prototype method, which only focuses on functionality needs, which uses video media that is displayed with Augmented Reality technology. The results of the development of this application can only display 7 (seven) superior tourism location videos in Pangandaran, West Java.
Design and Realization of Wideband Printed Monopole Antenna with Tel-U Logo Patch
Authors: Siahaan Macho Revelino , Nur Levi Olivia , Anwar Radial
Published: August 2020

One of the challenges of antenna development for wireless communication systems is to create an antenna that casn be operated in wide frequency so that a single antenna can be used in various wireless communication technologies. This paper discussed the wideband antenna with Telkom University Logo-shaped patch, using Fr-4 (?r = 4.3) substrate with 1.6 mm thickness. The antenna can be operated in the frequency range of 760 MHz – 13.75 GHz. The gain performance at the working frequency is still above 0 dBi. Hence, the antenna design to work properly for wireless communication systems which require relatively long distances. The Defected Ground Substrate (DGS) method is applied to achieve that bandwidth. Measurement shows the logo-shaped patch antenna achieves 12.994 GHz bandwidth with 1.33 VSWR and gain 2.85 at 921.5 MHz frequency.
Utilization of Service Oriented Architecture to Customize Accounting Business Process in Open ERP System for Smart SME’s
Authors: Muhardi Saputra  , Sanny Putra Hendarsyah  , R. Wahjoe Witjaksono
Published: August 2020

Small and medium enterprises or commonly referred to as SMEs in Indonesia are business activities that are in great demand after the economic crisis which resulted in the termination of employment (PHK) experienced by most companies. The role of SMEs in the Indonesian economy has now been recognized by the wider community. However, many SMEs in Indonesia are still running their business processes separately, especially in the accounting system, so that the business processes are running poorly, financial transactions that are still recorded and reported manually and separately, sales/purchase account items that are still recorded manually, and there's no system that supports the accounting process for SMEs.The output from this research is an Open Source ERP-based Smart SME system design in the accounting module by embedding the "smart" feature, namely analytic accounting. This design expected to be the standard and best practice in the SME accounting system so that SME's actors can create and get more structured financial reports and can design an integrated system that supports a real-time data management system.The research method used in this research uses the Service Oriented Architecture (SOA) approach. This method also refers to certain services on one platform such as services for making payments, transferring payments, and checking the status of a bank account in one application. In general, all the research processes carried out refer to the step by step of SOA and there must be input and output in designing the business model. This method is used to design business process models and services based on the accounting system problems experienced by SMEs.
Selecting Benchmarking Partners Using Analytical Hierarchy Process Approach
Authors: Sari Wulandari  , Ardian Cahya Utama  , Muhammad Arfidh
Published: August 2020

Benchmarking is a method to improve performance and improve company competitiveness. Thismethod has been commonly practiced by large companies and has recently been extended tosmall and medium enterprises (SMEs). However, the implementation between large and SMEsis very different. These differences are debated as an impact of company characteristics,specifically differences in the ability to develop and improve business. Typical SMEs face toughchallenges to overcome their resource constraints. This limitation affects the decisions of SMEsin choosing their comparison partners. This research was conducted to fill the research gapregarding the use of the Benchmarking method and the AHP approach to SMEs, especially indetermining Benchmark partners using the AHP approach. The use of benchmarking and AHPis illustrated by using SME objects that are engaged in the fashion sector, namely UKMCotton.Go. The problem faced by UKM Cotton.Go is marketing communication that is noteffective in creating sales so it needs to be determined benchmarking partner in makingimprovements to marketing communication. The use of AHP in determining benchmark partnershelps SMEs to find out which benchmark partners have the best marketing communicationperformance.
How to Create E-Purchasing Based on Open ERP for Integrated Hospital Service System Using QuickStart Methodology
Authors: Nesya Irianis  , Warih Puspitasari  , Muhardi Saputra
Published: August 2020

In this research, the researcher carries out the health Industry of public hospitals in Indonesia.One of the main processes in company business processes is the purchasing of goods. One ofthe problems in purchasing is the absence of the system that Integrates business processesbetween the Inventory Department and the Purchasing Department. Hence, interfere with dailyoperational in RSUD XYZ like due to notification’s update delay of the goods causesunavailability stock in the warehouse, so will affect the late purchase of goods at RSUD XYZ.Odoo is a software of Enterprise Resource Planning opensource used by various types ofcompanies. Odoo provides solutions package for Purchase Management to overcome theproblem in the company. The researcher used the QuickStart Methodology to implement ERPsystems. Odoo implementation with QuickStart needs through five main stages. The result ofthis research is the design of a planning model for Enterprise Resource Planning system ofpurchasing in RSUD XYZ. Moreover, Odoo makes business processes in the RSUD XYZ canbe automated with real-time information, this automation and real-time data will support theRSUD XYZ to make better decision in the future
Synthesis and styrene copolymerization of novel oxy ring-disubstituted isobutyl phenylcyanoacrylates
Authors: Bailey Megan , Barcinski Margaret A. , Galloway Adrian L. , Guzman Alyssa M. , Hussaini Syed , Khatib Naimah A. , Parisi Elli D.R. , Tuff Tripp , Williams Brockton D. , Rocus Sara M. , Schjerven William S. , Kharas Gregory
Published: August 2020

Novel oxy ring-disubstituted isobutyl phenylcyanoacrylates, RPhCH=C(CN)CO2CH2CH(CH3)2 (where R is 4-methoxy-2-methyl, 4-methoxy-3-methyl, 3-ethoxy-4-methoxy, 4-ethoxy-3-methoxy, 3,4-dibenzyloxy, 2-benzyloxy-3-methoxy, 3-benzyloxy-4-methoxy, 2,3-methylenedioxy) were synthesized by the piperidine catalyzed Knoevenagel condensation of ring-disubstituted benzaldehydes and isobutyl cyanoacetate and characterized by CHN analysis, IR, 1H and 13C NMR. The acrylates were copolymerized with styrene in solution with radical initiation (ABCN) at 70C. The compositions of the copolymers were calculated from nitrogen analysis and the structures were analyzed by FTIR, 1H and 13C NMR.
Mapping of Charge Delocalization Domain in Fluctuating DNA
Authors: Li Zhongwei , Han Keli
Published: August 2020

In this manuscript, we presented a theoretical method which allows one to gain the snapshot of the transient charge delocalization structure of the fluctuating DNA. It avoided the subjective observation on the graphical representations of charge density or molecular orbital. Instead, it is formulaic and programmable. By virtue of it, we built a model for the concept of the so-called delocalized domain, which has been proposed by different experimental scientists so as to interpret the confusing non-monotonic distance dependence of DNA-mediated charge transfer events. We reproduced the non-monotonicity in terms of the delocalized domain and revealed its origin. Importantly, the model is not complicated at all. One who has basic quantum chemistry knowledge could understand it without difficulty. This makes it easy to be applied on other π-stack systems besides DNA
Accelerated Computation of Free Energy Profile at Ab Initio QM/MM Accuracy via a Semi-Empirical Reference-Potential. IV. Adaptive QM/MM
Authors: Wang Jia-Ning , Liu Wei , Li Pengfei , Mo Yan , Hu Wenxin , Zheng Jun , Pan Xiaoliang , Shao Yihan , Mei Ye
Published: August 2020

In this work, we developed a novel adaptive QM/MM scheme and applied it to a study of the nucleophilic addition reaction. In this approach, the simulation was performed with a small QM region (without solvent molecules), and the thermodynamic properties under other potential energy functions with larger QM regions (with a different number of solvent molecules and/or different level of QM theory) are computed via the reference-potential method. The results show that this reweighting process is numerically stable, at least for the case studied in this work. Furthermore, this method also offers an inexpensive way to examine the convergence of the QM/MM calculation with respect to the size of the QM region.
Spin Diffusion Transfer Difference (SDTD) NMR: An Advanced Method for the Characterisation of Water Structuration Within Particle Networks
Authors: Gabrielli Valeria , Kuraite Agne , Alves da Silva Marcelo , Edler Karen J. , Angulo Jesús , Nepravishta Ridvan , Muñoz-García Juan C. , Khimyak Yaroslav
Published: August 2020

Saturation transfer difference (STD) NMR spectroscopy is a well‑known ligand‑based solution NMR technique used extensively for ligand epitope mapping, the identification of the nature of ligand binding sites, and the determination of ligand binding affinity. Recently, we have shown that STD NMR can be also applied to monitor changes in bound water during gelation of particulate dispersions. However, this technique is strongly dependent on gelator and solvent concentrations and does not report on the degree of organisation of the solvent within the particle network. This obscures the detailed understanding of the role of the solvent on gelation and precludes the comparison of solvation properties between dispersions prepared under different experimental conditions. In this work we report a novel STD NMR method to characterise the degree of solvent structuration in carbohydrate-based particulate dispersions by demonstrating for the first time that, for solvents interacting with large particles, the spin diffusion transfer build‑up curves can be modelled by the general one‑dimensional diffusion equation. Our novel approach, called Spin Diffusion Transfer Difference (SDTD) NMR, is independent of the gelator and solvent concentrations, allowing to monitor and compare the degree of solvent structuration in different gel networks. In addition, the simulation of SDTD build-up curves report on minimum distances (r) and spin diffusion rates (D) at the particle‑solvent interface. As a case study, we have characterised the degree of structuration of water and low molecular weight alcohols during the alcohol‑induced gelation of TEMPO-oxidised cellulose hydrogels by SDTD NMR, demonstrating the key role of water structuration on gel properties. SDTD NMR is a fast, robust and easy-to-implement solution NMR protocol that overcomes some of the limitations of the classical STD NMR approach when applied to the study of solvation. This technique can be readily extended to characterise the solvent(s) organisation in any type of particulate gels. Hence, the SDTD NMR method provides key insights on the role of water in the mechanism of gelation and the macroscopic properties of particulate gels, of fundamental importance for the design of soft matter materials with tuneable properties.
Erosión ética en el trato con la inteligencia artificial
Authors: Torres Lozano Desireé
Published: August 2020

ResumenEl presente artículo tiene como finalidad definir la IA y poner en discusión su injerencia social, así como las consecuencias éticas que esto conlleva, ya que la construcción del hombre contemporáneo debe tener en cuenta el trato con estos sistemas. Definiremos qué es la inteligencia, cómo es que se le ha llamado inteligencia a los procesos de las máquinas y podremos establecer un diálogo entre la influencia ética que conlleva el trato con las mismas.

Palabras clave Inteligencia artificial; Ética; Sistemas; Tecnología; Hombre

Referencias

Aristóteles, De Anima, Madrid: Gredos, 2000.

___, Ética a Nicómaco, Madrid: Gredos, 2000.

___, Política, Madrid, Gredos, 2003.

Aspe, V. Nuevos sentidos mimesis en la Poética de Aristóteles, en Tópicos, Revista de filosofía, México: Tópicos, 2005.

Bellman, Richard, An Introduction To Artificial Intelligence, San Francisco: Boyd and Fraser Publishing Company, 1978.

Büchner et al, Discovering Internet Marketing Intelligence through Web Log Mining, Antrin, Mine it, Newtownabbey: University of Ulster Shore Road, 1998.

Corominas, Pascual, Diccionario Crítico Etimológico Castellano e Hispánico, Madrid, Gredos, 2002.

Descartes, Meditaciones Metafísicas, Gredos, Madrid, 2000.

Elaine Rich, Kevin Knight, Artificial Intelligence, New Delhi: McGraw-Hill, 1991.

Bude, Gesellschaft der Angst, Hamburgo: Hamburger Edition HIS, 2014.

Heidegger, Platon: Sophistes, Frankfurt: Vittorio Klostermann, 1992.

___, Über den Humanismus, Frankfurt: Vittorio Klostermann, 1949.

___, Was heisst denken?, Frankfurt Am Main: Vittorio Klostermann, 2002.

Hickock, Gregory, The Myth of Mirror Neurons. The Real Neuroscience of communication and cognition, Nueva York: W. W. Norton & ­Company, 2014. J. Haugeland, Artificial Intelligence: The very idea, Cambridge: MIT Press, 1985.

Kirk, G.S. y Raven, J. E., Los filósofos presocráticos, Madrid: Gredos, 1970.

Kurzweil Raymond, The Age of Intelligent Machines, Cambridge: MIT Press, 1990.

Mariarosaria Taddeo, Luciano Floridi, How AI can be a force for good, en Science, Vol. 361, Issue 6404, Oxford: Oxford University, 2018.

Nils Johan Nilsson, Artificial Intelligence: A new synthesis, USA: Morgan Kaufmann, 1998.

Platón, Cratilo, Madrid, Gredos, 2004.

Poole David et al, Computational Intelligence, a Logical Approach, Oxford: Oxford University, 1998.

Press, Gill, A Very Short History Of Artificial Intelligence (AI), USA: Forbes, 2016.

Russell, Norvig, Artificial Intelligence, A Modern Approach, New Jersey, Pearson, 2010.

Armstrong, S., & K. Sotala, ​How we​’re predicting AI​ or failing to,​ Beyond Artificial Intelligence, Machine Intelligence Research Institute, Pilsen: University of West Bohemia,2015.

Turing Alan, MIND, Computing Machinery and Intelligence, Cambridge: A Quarterly Review of Psychology and Philosophy, 1950.

Winston Patrick Henry, Artificial intelligence, USA: Addison Wesley, Publishing Company, 1992.