bluuebunny/crossref_metadata_2025 huggingface dataset:
The Perspective of Bureaucratic Reform (Kang Yoto's Leadership) in Bojonegoro
Authors: Aziz Fadian Nur , Roziqin Ali
Published: March 2021

The short article aims to discuss the bureaucratic reform by Kang Yoto during his leadership in Bojonegoro Regency. In the governance structure, the local government is a street level bureaucracy that must be responsive to community development. Using library analysis and focus group discussions, Authors also discuss with Kang Yoto as directly, when the process of entoring at the University of Muhammadiyah Malang. Authors analyze the bureaucratic reform movement carried out by Kang Yoto able to change people's stigma better towards bureaucracy. Some of the things done by Kang Yoto such as the bloated Friday, transforming public services and bureaucratic innovation succeeded in bringing a positive impact on development in Bojonegoro Regency. Needing this shows the success of bureaucratic reform in the regions needs strong commitment and leadership in the regions. This paper is expected to be able to provoke potential regional leaders who will fight in the simultaneous Regional Election in 2020.
Asymptotic analysis of a junction of hyperelastic rods
Authors: Hernández-Llanos Pedro
Published: March 2021

In this article we obtain a 1-dimensional asymptotic model for a junction of thin hyperelastic rods as the thickness goes to zero. We show, under appropriate hypotheses on the loads, that the deformations that minimize the total energy weakly converge in a Sobolev space towards the minimum of a [Formula: see text]-dimensional energy for elastic strings by using techniques from Γ-convergence.
Primary stromal sarcoma of breast: A case report and literature review
Authors: Al-Wiswasy Mohammad , Al-Balas Mahmoud , Al-Saffar Raith , Al-Balas Hamzeh
Published: March 2021

INTRODUCTION: Primary breast sarcoma (PBS) was first described in 1887 as a rare heterogeneous neoplasm arising from the mesenchymal tissue of the mammary gland accounting for less than 5% of all body soft-tissue sarcomas and less than 0.1% of all malignant tumors of the breast. CASE PRESENTATION: A 31-year old lady presented with left breast mass which she felt four years before during which the mass increased in size from 1 to 6 cm in the largest diameter, diagnosed clinically as a benign fibroadenoma without any further cytological or histopathological confirmation. Histopathological examination of the excised breast mass reveals undifferentiated, primary stromal sarcoma of the breast (PSSB), which was followed by mastectomy three weeks later with reconstructive breast surgery with a total duration of follow-up of 3 years thereafter. This is the first case of PSSB reported in Jordan. DISCUSSION/CONCLUSION: PSSB is the generic term given to malignant breast tumors thought to arise from the specialized mesenchymal stroma of the breast but lacking an epithelial component with a phylloides pattern. PSSB is difficult to diagnose preoperatively due to its rarity and inadequate imaging methods to establish an exact diagnosis. The histology of the patient mass may be the leading factor for the management of these tumors. Even in very young patients, a progressively growing breast mass should alert the clinician to investigate for malignancy and verify the results by biopsy. Surgery with adequate resection margins represents the only potentially curative modality with prognostic significance. Adjuvant chemotherapy and radiotherapy are not very beneficial. The prognosis is dismal for patients with lymph node involvement and the size of the tumor has a lesser bearing on the outcome.
Characteristics of ambulatory spine care visits in the United States, 2009–2016
Authors: Schneider Byron J. , Haring R. Sterling , Song Amos , Kim Peter , Ayers Gregory D. , Kennedy David J. , Jain Nitin B.
Published: March 2021

BACKGROUND: Back pain is a leading reason for seeking care in the United States (US), and is a major cause of morbidity. OBJECTIVE: To analyze demographic, patient, and visit characteristics of adult ambulatory spine clinic visits in the United States from 2009–2016. METHODS: Data from the National Ambulatory Medical Care Survey from 2009–2016 were used and were sample weighted. RESULTS: Most patients presenting for ambulatory spine care were 45–64 years (45%), were most commonly female (56.8%), and private insurance (45%) and Medicare (26%) were most common payors. The percentage of visits for spine care done at a primary care setting was 50.1% in 2009–2010 and 48.3% in 2014–2015. Approximately 15.5% were seen in orthopedic surgery clinics in 2009–2010 and 7.3% in 2015–2016. MRI was utilized in 11.7% in 2009–2010 and 11.0% in 2015–2016. Physical therapy was prescribed in 13.2% and narcotic analgesic medications were prescribed in 36.2% of patients in 2015–2016. CONCLUSIONS: MRI was used more frequently than guidelines recommended, and physical therapy was less frequently utilized despite evidence. A relatively high use of opiates in treatment of back pain was reported and is concerning. Although back pain represents a substantial public health burden in the United States, the delivery of care is not evidence-based.
Multi-task prediction model based on ConvLSTM and encoder-decoder
Authors: Luo Tao , Cao Xudong , Li Jin , Dong Kun , Zhang Rui , Wei Xueliang
Published: March 2021

The energy load data in the micro-energy network are a time series with sequential and nonlinear characteristics. This paper proposes a model based on the encode-decode architecture and ConvLSTM for multi-scale prediction of multi-energy loads in the micro-energy network. We apply ConvLSTM, LSTM, attention mechanism and multi-task learning concepts to construct a model specifically for processing the energy load forecasting of the micro-energy network. In this paper, ConvLSTM is used to encode the input time series. The attention mechanism is used to assign different weights to the features, which are subsequently decoded by the decoder LSTM layer. Finally, the fully connected layer interprets the output. This model is applied to forecast the multi-energy load data of the micro-energy network in a certain area of Northwest China. The test results prove that our model is convergent, and the evaluation index value of the model is better than that of the multi-task FC-LSTM and the single-task FC-LSTM. In particular, the application of the attention mechanism makes the model converge faster and with higher precision.
A robust anomaly detection algorithm based on principal component analysis
Authors: Huang Yingkun , Jin Weidong , Yu Zhibin , Li Bing
Published: March 2021

Quantifying the abnormal degree of each instance within data sets to detect outlying instances, is an issue in unsupervised anomaly detection research. In this paper, we propose a robust anomaly detection method based on principal component analysis (PCA). Traditional PCA-based detection algorithms commonly obtain a high false alarm for the outliers. The main reason is that ignores the difference of location and scale to each component of the outlier score, this leads to the cumulated outlier score deviates from the true values. To address the issue, we introduce the median and the Median Absolute Deviation (MAD) to rescale each outlier score that mapped onto the corresponding principal direction. And then, the true outlier scores of instances can be obtained as the sum of weighted squares of the rescaled scores. Also, the issue that the assignment of the weight for each outlier score will be solved. The main advantage of our new approach is easy to build with unsupervised data and the recognition performance is better than the classical PCA-based methods. We compare our method to the five different anomaly detection techniques, including two traditional PCA-based methods, in our experiment analysis. The experimental results show that the proposed method has a good performance for effectiveness, efficiency, and robustness.
An adaptive node embedding framework for multiplex networks
Authors: Ning Nianwen , Yang Yilin , Song Chenguang , Wu Bin
Published: March 2021

Network Embedding (NE) has emerged as a powerful tool in many applications. Many real-world networks have multiple types of relations between the same entities, which are appropriate to be modeled as multiplex networks. However, at random walk-based embedding study for multiplex networks, very little attention has been paid to the problems of sampling bias and imbalanced relation types. In this paper, we propose an Adaptive Node Embedding Framework (ANEF) based on cross-layer sampling strategies of nodes for multiplex networks. ANEF is the first framework to focus on the bias issue of sampling strategies. Through metropolis hastings random walk (MHRW) and forest fire sampling (FFS), ANEF is less likely to be trapped in local structure with high degree nodes. We utilize a fixed-length queue to record previously visited layers, which can balance the edge distribution over different layers in sampled node sequence processes. In addition, to adaptively sample the cross-layer context of nodes, we also propose a node metric called Neighbors Partition Coefficient (NPC). Experiments on real-world networks in diverse fields show that our framework outperforms the state-of-the-art methods in application tasks such as cross-domain link prediction and mutual community detection.
A parametric approximation algorithm for spatial group keyword queries
Authors: Li Jincao , Xu Ming
Published: March 2021

With the application of big data, various queries arise for information retrieval. Spatial group keyword queries aim to find a set of spatial objects that cover the query keywords and minimize a goal function such as the total distance between the objects and the query point. This problem is widely found in database applications and is known to be NP-hard. Efficient algorithms for solving this problem can only provide approximate solutions, and most of these algorithms achieve a fixed approximation ratio (the upper bound of the ratio of an approximate goal value to the optimal goal value). Thus, to obtain a self-adjusting algorithm, we propose an approximation algorithm for achieving a parametric approximation ratio. The algorithm makes a trade-off between the approximation ratio and time consumption enabling the users to assign arbitrary query accuracy. Additionally, it runs in an on-the-fly manner, making it scalable to large-scale applications. The efficiency and scalability of the algorithm were further validated using benchmark datasets.
Similarity-based sales forecasting using improved ConvLSTM and prophet
Authors: Wan Yongquan , Chen Yizhou , Yan Cairong , Zhang Bofeng
Published: March 2021

Sales forecasting is an important part of e-commerce and is critical to smart business decisions. The traditional forecasting methods mainly focus on building a forecasting model, training the model through historical data, and then using it to forecast future sales. Such methods are feasible and effective for the products with rich historical data while they are not performing as well for the newly listed products with little or no historical data. In this paper, with the idea of collaborative filtering, a similarity-based sales forecasting (S-SF) method is proposed. The implementation framework of S-SF includes three modules in order. The similarity module is responsible for generating top-k similar products of a given new product. We calculate the similarity based on two data types: time series data of sales and text data such as product attributes. In the learning module, we propose an attention-based ConvLSTM model which we called AttConvLSTM, and optimize its loss function with the convex function information entropy. Then AttConvLSTM is integrated with Facebook Prophet model to forecast top-k similar products sales based on their historical data. The prediction results of all top-k similar products will be fused in the forecasting module through operations of alignment and scaling to forecast the target products sales. The experimental results show that the proposed S-SF method can simultaneously adapt to the sales forecasting of mature products and new products, which shows excellent diversity, and the forecasting idea based on similar products improves the accuracy of sales forecasting.
A model to estimate the Self-Organizing Maps grid dimension for Prototype Generation
Authors: Silva Leandro A. , de Vasconcelos Bruno P. , Del-Moral-Hernandez Emilio
Published: March 2021

Due to the high accuracy of the K nearest neighbor algorithm in different problems, KNN is one of the most important classifiers used in data mining applications and is recognized in the literature as a benchmark algorithm. Despite its high accuracy, KNN has some weaknesses, such as the time taken by the classification process, which is a disadvantage in many problems, particularly in those that involve a large dataset. The literature presents some approaches to reduce the classification time of KNN by selecting only the most important dataset examples. One of these methods is called Prototype Generation (PG) and the idea is to represent the dataset examples in prototypes. Thus, the classification process occurs in two steps; the first is based on prototypes and the second on the examples represented by the nearest prototypes. The main problem of this approach is a lack of definition about the ideal number of prototypes. This study proposes a model that allows the best grid dimension of Self-Organizing Maps and the ideal number of prototypes to be estimated using the number of dataset examples as a parameter. The approach is contrasted with other PG methods from the literature based on artificial intelligence that propose to automatically define the number of prototypes. The main advantage of the proposed method tested here using eighteen public datasets is that it allows a better relationship between a reduced number of prototypes and accuracy, providing a sufficient number that does not degrade KNN classification performance.
Do Cardiovascular Risk Factors and Cardiovascular Disease Explain Sex Differences in Cognitive Functioning in Old Age?
Authors: van Zutphen Elisabeth Maria , Rijnhart Judith Johanna Maria , Rhebergen Didericke , Muller Majon , Huisman Martijn , Beekman Aartjan , Kok Almar , Appelman Yolande
Published: March 2021

Background: Sex differences in cognitive functioning in old age are known to exist yet are still poorly understood. Objective: This study examines to what extent differences in cardiovascular risk factors and cardiovascular disease between men and women explain sex differences in cognitive functioning. Methods: Data from 2,724 older adults from the Longitudinal Aging Study Amsterdam were used. Information processing speed and episodic memory, measured three times during six years of follow-up, served as outcomes. The mediating role of cardiovascular risk factors and cardiovascular disease was examined in single and multiple mediator models. Determinant-mediator effects were estimated using linear or logistic regression, and determinant-outcome and mediator-outcome effects were estimated using linear mixed models. Indirect effects were estimated using the product-of-coefficients estimator. Results: Women scored 1.58 points higher on information processing speed and 1.53 points higher on episodic memory. Several cardiovascular risk factors had small mediating effects. The sex difference in information processing speed was mediated by smoking, depressive symptoms, obesity, and systolic blood pressure. The sex difference in episodic memory was mediated by smoking, physical activity, and depressive symptoms. Effects of smoking, LDL cholesterol, and diabetes mellitus on information processing speed differed between men and women. Conclusion: Differences in cardiovascular risk factors between women and men partially explained why women had better cognitive functioning. A healthy cardiovascular lifestyle seems beneficial for cognition and sex-specific strategies may be important to preserve cognitive functioning at older age.
Interactions Between Handgrip Strength and Serum Folate and Homocysteine Levels on Cognitive Function in the Elderly Chinese Population
Authors: Chen Yongjie , Du Yue , Sun Zhuoyu , Liu Qian , Sun Changqing , Lin Hongyan , Jin Mengdi , Fu Jingzhu , Ma Fei , Li Wen , Liu Huan , Zhang Xumei , Wang Guangshun , Huang Guowei
Published: March 2021

Background: Handgrip strength (HGS) and serum folate and homocysteine (Hcy) levels were associated with cognitive function. However, little was known whether there were interactions between HGS and serum folate and Hcy levels on cognitive function. Objective: To examine the interactions between HGS and serum folate and Hcy levels on cognitive function. Methods: This study analyzed the baseline data of the Tianjin Elderly Nutrition and Cognition Cohort study. All participants aged ≥60 years were potential eligible. HGS was measured using a grip strength dynamometer. Serum folate and Hcy levels were assayed using standard laboratory protocol. A Mini-Mental State Examination was used to assess cognitive function. Linear regressions were employed to examine the interactions between HGS and serum folate and Hcy levels on cognitive function. Results: 4,484 participants were included in this study. There were interactions between HGS and serum folate and Hcy levels on cognitive function. Furthermore, subjects with strong HGS and sufficient folate level had the best cognitive function (β= 2.018), sequentially followed by those with strong HGS and insufficient folate level (β= 1.698) and with poor HGS and sufficient folate level (β= 0.873). Similarly, cognitive function was ranked in the descending order of subjects with strong HGS and normal Hcy level (β= 1.971), strong HGS and high Hcy level (β= 1.467), and poor HGS and normal Hcy level (β= 0.657). Conclusion: There were interactions between HGS and serum folate and Hcy levels on cognitive function. However, the temporal associations cannot be examined in a cross-sectional study. Further cohort study should be conducted to confirm these associations in the future.
Is the Frontal Lobe the Primary Target of SARS-CoV-2?
Authors: Toniolo Sofia , Di Lorenzo Francesco , Scarioni Marta , Frederiksen Kristian Steen , Nobili Flavio
Published: March 2021

Acute delirium and other neuropsychiatric symptoms have frequently been reported in COVID-19 patients and are variably referred to as acute encephalopathy, COVID-19 encephalopathy, SARS-CoV-2 encephalitis, or steroid-responsive encephalitis. COVID-19 specific biomarkers of cognitive impairment are currently lacking, but there is some evidence that SARS-CoV-2 could preferentially and directly target the frontal lobes, as suggested by behavioral and dysexecutive symptoms, fronto-temporal hypoperfusion on MRI, EEG slowing in frontal regions, and frontal hypometabolism on 18F-FDG-PET imaging. We suggest that an inflammatory parainfectious process targeting preferentially the frontal lobes (and/or frontal networks) could be the underlying cause of these shared clinical, neurophysiological, and imaging findings in COVID-19 patients. We explore the biological mechanisms and the clinical biomarkers that might underlie such disruption of frontal circuits and highlight the need of standardized diagnostic procedures to be applied when investigating patients with these clinical findings. We also suggest the use of a unique label, to increase comparability across studies.
Digital financial inclusion risk prevention based on machine learning and neural network algorithms
Authors: Gu Ning
Published: March 2021

In recent years, China has increased its investment in science and technology, and digital technologies such as mobile Internet, big data, and cloud computing have continuously made breakthroughs. The integration with the modern financial industry has stimulated online lending, third-party payment, digital insurance, and New financial forms such as digital wealth management are booming. With the rapid development of digital financial inclusion, the development of traditional financial industry has broken through time and geographical constraints, allowing more groups excluded from the traditional financial system to participate in financial activities and enjoy more convenient and faster personalized financial products and services, meet their financial needs and improve the reach of financial services. While the development of digital financial inclusion has benefited more groups, it has not changed the original risks of the financial industry. It has also brought about some negative external effects of financial technology, which poses greater challenges to the protection of financial consumers’ rights and interests. Therefore, this research aims at the digital inclusive risk prediction of financial institutions and personal risk prediction respectively, and proposes a financial risk prediction method based on the adaptive fusion of multi-source heterogeneous data, which can improve the effect of financial risk prediction through the effective use of multi-source data. purpose.
Soft topological hyperstructure
Authors: Oguz Gulay , Davvaz Bijan
Published: March 2021

Molodtsov proposed the theory of soft sets which can be considered as a recent mathematical tool to deal with uncertainties. The main purpose of this paper is to give the definition of soft topological hypergrupoid by examining the concept of hypergrupoid which is one of the hyperystructures with soft set theory from the topological point of view. Also, the relation between soft topological hypergroupoids and soft hypergroupoids is examined and some theoretical results are obtained. By introducing the concept of soft good topological homomorphism, the category of soft topological hypergrupoids is constructed. At last, the definition of soft topological subhypergrupoid is presented and some related properties are studied.
Multilevel AHP approach with interval type-2 fuzzy sets to portfolio selection problem
Authors: Meniz Busra , Bas Sema Akin , Ozkok Beyza Ahlatcioglu , Tiryaki Fatma
Published: March 2021

Decision making (DM) is an important process encountered in every moment of life. Since it is difficult to interpret life depending on a single criterion, Multi-Criteria Decision Making (MCDM) enables to make decisions easier by creating appropriate choice in situations of uncertainty, complexity, and conflicting objectives. Therefore, we have studied the Analytic Hierarchy Process (AHP) which is one of the MCDM methods based on binary comparison logic. When uncertainties concerning the nature of life are considered, the solution procedure of AHP has been addressed by using Interval Type-2 Fuzzy Numbers (IT2FN)s to obtain more realistic results. The usability of AHP with IT2FN is increased by amplifying hierarchy with sub-levels. Since sub-criterion may also need to be evaluated on sub-criteria in some cases of real multi-criteria problems, it is explicitly essential that each of sub-sub-criterion is included in the hierarchy at the own level in the real sense. In this paper, a new multilevel type-2 fuzzy AHP method is expanded by adding sub-criteria to the Interval Type-2 Fuzzy AHP (IT2FAHP) method developed by Kahraman et al. [C. Kahraman, B. Öztayşi, İ. Sarı and B. Turanoğlu, Fuzzy analytic hierarchy process with interval type-2 fuzzy sets, Knowledge-Based Systems 59 (2014), 48–57.]. Thanks to the extended method, another aim is to ensure that even complex situations that have multiple levels can be solved simply. Also, the proposed method is illustrated with a portfolio selection problem. Thus, the AHP method with type-2 fuzzy sets is carried out to the portfolio selection problem, which is in the scope of finance theory, for the first time in the literature.
Evaluating single web service trust employing a three-level neuro-fuzzy system considering k-means clustering
Authors: Shakeri Aski Baharak , Toroghi Haghighat Abolfazl , Mohsenzadeh Mehran
Published: March 2021

Using Web services to assess data in a distributed configuration, apart from different hardware and software platforms for employing standard criteria, is practical because of development in the Internet and network infrastructure. Distributed applications can transfer data using web services. Trust is the main criterion to select the appropriate web service. Neuro-fuzzy systems including clustering are applied to assess the trust of single web services. This paper considers nine criteria including quality of service, subjective perspectives, user preference, credibility of raters, objective perspectives, dynamic computing, bootstrapping, independency and security. To obtain a neuro-fuzzy system with high prediction accuracy, the paper considers eight neuro-fuzzy membership functions (i.e., trapmf, gbellmf, trimf, gaussmf, dsigmf, psigmf, gauss2mf, pimf) using the k-means clustering. Also, to increase the speed and reduce the fuzzy rules, a three-level neuro-fuzzy system (13 neuro-fuzzy) is investigated. The main target of this paper is evaluating the trust of single web services using the nine aforementioned criteria, as web services selection is a main issue which is still absorbing researchers to conduct research works on this field and analyze it. Ultimately, the results show reasonable root mean square error (RMSE) amount, precision value, recall value, and F-score value. In comparison to previous research works, this study obtained the lower amounts of errors and presents the more accurate trust of single web services.
Fuzzy double controlled metric spaces and related results
Authors: Saleem Naeem , Işık Hüseyin , Furqan Salman , Park Choonkil
Published: March 2021

In this paper, we introduce the concept of fuzzy double controlled metric space that can be regarded as the generalization of fuzzy b-metric space, extended fuzzy b-metric space and controlled fuzzy metric space. We use two non-comparable functions α and β in the triangular inequality as: M q ( x , z , t α ( x , y ) + s β ( y , z ) ) ≥ M q ( x , y , t ) ∗ M q ( y , z , s ) . We prove Banach contraction principle in fuzzy double controlled metric space and generalize the Banach contraction principle in aforementioned spaces. We give some examples to support our main results. An application to existence and uniqueness of solution for an integral equation is also presented in this work.
Continuous in-home walking speed monitoring in older people with a low-cost ambient sensor: Results of a feasibility study
Authors: Joddrell Phil , Potter Stephen , de Witte Luc P. , Hawley Mark S.
Published: March 2021

BACKGROUND:

Walking speed predicts important clinical outcomes in older adults and is one of the most significant indicators of frailty.

OBJECTIVE:

To test whether it is feasible to measure walking speed frequently and unobtrusively in the home.

METHODS:

A longitudinal feasibility study was conducted comprising the installation and monitoring of continuous measurement walking speed sensors in twenty frail older adults’ homes for a period of twelve weeks (eighteen participants completed the study). Manual walking speed, frailty level and health status were measured at four-weekly intervals. Qualitative interviews were conducted at the end of the study to assess participants’ attitudes to the sensors and to the concept of continuous in-home walking speed measurement.

RESULTS:

There was a high degree of variance to the number of walking speed measurements recorded by each participant’s sensor (median 1942.39, range 2-3617). Participants indicated acceptability of both the sensor within the home and the concept of in-home walking speed measurement.

CONCLUSIONS:

Where regular measurement was achieved, the results indicate that walking speed might be better viewed as a distribution rather than a single figure, taking into account the natural variation to walking speed in daily life. This study demonstrates the feasibility of continuous ambient in-home walking speed monitoring of older adults with a low-cost, easily deployed device.
Open space office: A review of the literature and Hong Kong case studies
Authors: Lai Lawrence W.C. , Chau K.W. , Davies Stephen N.G. , Kwan Locinda M.L.
Published: March 2021

BACKGROUND: Open plan or open space office has become increasingly popular but those who promote the concept seldom refer to health studies or workers’ perceptions of a change in office layout towards an open space arrangement. OBJECTIVE: To review the literature on open plan or open space office layouts in terms of facilities management (FM) with users’ perceptions in mind and to obtain opinions of users of open space offices for a better appreciation of the FM issues. METHODS: A literature search of research papers from 2007 in journals using the keywords “open plan office” and “open space office” plus “health”, first in the titles then in the text, was carried out. Thirty-two of those papers, accessible by the authors’ institutions, were consulted together with 5 other works in the Harvard Business Review. The review consulted but excluded papers and reports published or sponsored by commercial firms that were in favour of open space layouts. Case studies were conducted by face to face meetings in confidence with workers in the middle managements of twelve Hong Kong organisations known as friends to two of the authors. Problems as seen by staff are reported and discussed. RESULTS: The literature review reveals that apart from writing that promotes the use of an open plan office layout, a host of scientific works point to the problems of perceived dissatisfaction with such a layout, the nature of the dissatisfaction tending to depend on the actual design. Most workers interviewed disliked the new style open plan layouts, which points to the necessity of consulting workers when such changes are contemplated, as well as monitoring the results of the change once it is in place whether against workers’ wishes or with their support. There is a need for a number of facility arrangements in making a change to open plan that ensures that worker needs for proper lighting, privacy, and indoor health will be met. CONCLUSIONS: If the aim of a change to an open plan arrangement is to promote collegial communications in office, the study sheds light on the extent to which such arrangements may not in practice be suitable for achieving the aim. It follows that further, more specifically sociological studies of workers’ job satisfaction and emotional health in open plan office settings would be worth doing.
Interaction modeling and classification scheme for augmenting the response accuracy of human-robot interaction systems
Authors: Tao Hai , Rahman Md Arafatur , Jing Wang , Li Yafeng , Li Jing , Al-Saffar Ahmed , Zhang Renrui , Salih Sinan Q.
Published: March 2021

BACKGROUND: Human-robot interaction (HRI) is becoming a current research field for providing granular real-time applications and services through physical observation. Robotic systems are designed to handle the roles of humans and assist them through intrinsic sensing and commutative interactions. These systems handle inputs from multiple sources, process them, and deliver reliable responses to the users without delay. Input analysis and processing is the prime concern for the robotic systems to understand and resolve the queries of the users. OBJECTIVES: In this manuscript, the Interaction Modeling and Classification Scheme (IMCS) is introduced to improve the accuracy of HRI. This scheme consists of two phases, namely error classification and input mapping. In the error classification process, the input is analyzed for its events and conditional discrepancies to assign appropriate responses in the input mapping phase. The joint process is aided by a linear learning model to analyze the different conditions in the event and input detection. RESULTS: The performance of the proposed scheme shows that it is capable of improving the interaction accuracy by reducing the ratio of errors and interaction response by leveraging the information extraction from the discrete and successive human inputs. CONCLUSION: The fetched data are analyzed by classifying the errors at the initial stage to achieve reliable responses.
Quantitative evaluation of bone marrow infiltration using dual-energy spectral computed tomography in patients with multiple myeloma
Authors: Hu Chunhong , Zhang Yu , Xiong Xing , Meng Qian , Yao Feirong , Ye Aihua , Hao Zhengmei
Published: March 2021

OBJECTIVE:

To explore the potential value of quantitative parameters derived from dual-energy spectral computed tomography (DESCT) as comparing to the parameters derived from magnetic resonance imaging (MRI) in detecting bone marrow (BM) infiltration and distinguishing different patterns of BM infiltration in patients diagnosed with Multiple myeloma (MM).

METHODS:

This study involved 35MM patients and 15 healthy control subjects who had undergone spinal DESCT and MRI. Pattern assignment was based on visual assessment of MR images, and the regions of interest were defined on both DESCT and apparent diffusion coefficient maps. Quantitative values of DESCT parameters were measured and compared between infiltrated and healthy bone marrow. Receiver operating characteristic (ROC) analysis was performed to determine potential utility of DESCT parameters in identifying BM infiltration and different patterns defined by MRI. Sensitivity and specificity under the optimal thresholds determined by the Youden Index were also calculated.

RSULTS:

Statistical differences were observed between the DESCT parameters including Ca(Water), Water(Ca), HAP(Fat), Fat(HAP) and Effective atomic number (Eff-Z) but not for the 70-keV CT value between the infiltrated and healthy BM (all P < 0.001). The 70keV CT value and Ca(Water), HAP(Fat) and Eff-Z values were also found to be statistically different in comparing different infiltration patterns (all P < 0.05). Performance of the model-based parameter Ca/Water was superior in differentiating between infiltrated and healthy BM in which the area under ROC curve, AUC = 0.856 [95% CI, 81.4–89.1%] with sensitivity = 0.841 and specificity = 0.768, as well as between MM patients and control subjects (AUC = 0.910 [95% CI, 79.5–97.3%], sensitivity = 0.829 and specificity = 1.000).

CONCLUSIONS:

Analysis of DESCT offers potential as a quantitative method to detect infiltrated BM and evaluate infiltration patterns of BM in patients diagnosed with MM.
The modified optical part of a pyrometer used for calibrating tungsten-rhenium thermocouples
Authors: Bityukov Vladimir K. , Gorbunov Ruslan A. , Simachkov Denis S. , Ulanovskiy Anatoly A. , Frunze Alexandr V.
Published: March 2021

The provision of technological processes with modern techniques for measuring temperature is a challenging issue. For solving this problem there need to be formulated specific requirements for the optical part of the pyrometer, intended for measuring the temperature in the measurement cavity of the installation used for calibrating tungsten-rhenium thermocouples up to a temperature of 2,200 °С. In accordance with these requirements, in mass produced “Termokont” pyrometer, its optical part has been modified and experimentally investigated.
ANALISIS EFEKTIVITAS MESIN PRESSING PH-1400 DENGAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE) DI PT. SURYA SIAM KERAMIK
Authors: Atmaja Lingga Tiyas , Supriyadi Edi , Utaminingsih Sri
Published: March 2021

ABSTRAKPT. Surya Siam Keramik adalah sebuah perusahaan swasta yang bergerak dibidang keramik lantai dan keramik dinding. Pada penelitian ini penulis membahas tentang mesin yang memproduksi keramik lantai yaitu mesin pressing PH-1400. Penulis menganalisa efektifitas mesin pressing yang digunakan untuk memproduksi dalam periode Januari 2016 sampai dengan Desember 2016. Metode yang digunakan oleh penulis adalah Overall Equipment Effectiveness (OEE). Dari hasil analisa selama periode Januari 2016 sampai dengan Desember 2016 nilai OEE berkisar antara 71.55%-92.00% dengan rata-rata nilai 83.56%. Hasil perhitungan nilai availability rate berkisar antara 84.32%-93.00% dengan rata-rata nilai 89.28%, nilai perfomance rate berkisar antara 77.18%-99.73% dengan rata-rata nilai 94.01%, dan nilai quality rate berkisar antara 99.53%-99.73% dengan rata-rata nilai 99.65%. Nilai OEE masih berada dibawah standar kelas OEE yaitu 85%. Penulis memberikan usulan perbaikan melalui perawatan pada mesin yang baik seperti inspeksi dan preventive maintenance secara berkala atau dengan cara mengganti mesin pressing dengan yang baru. Hasil perhitungan biaya perawatan lebih murah yaitu sebesar IDR 2,142,866,208.46,- dibandingkan dengan biaya pembelian mesin baru sebesar IDR 5,476,266,340.08,-. Kata kunci: Proses Produksi, Overall Equipment Effectiveness, Biaya Perawatan.
ANALISIS FAKTOR YANG MEMPENGARUHI KONSUMEN MEMBELI PRODUK MAKANAN PENDAMPING AIR SUSU IBU (MP-ASI) INSTAN
Authors: Nurselvi Nurselvi
Published: March 2021

Pada umumnya pada usia 6 bulan bayi memerlukan makanan pendamping air susu ibu (MPASI) karena pada fase ini bayi memerlukan banyak energi untuk berkembang dan nutrisinya tidak hanya bisa didapat hanya dari ASI saja. Penelitian ini bertujuan untuk menganalisis faktor apa saja yang mempengaruhi konsumen saat akan membeli MPASI instan. Faktor yang digunakan dalam penelitian ini adalah mutu yang melekat pada produk MPASI yaitu bentuk, tekstur, warna, aroma, rasa, kandungan nutrisi, bahan baku utama, bahan tambahan lain, kadaluarsa, harga, kemasan, hiegine produk dan keamanan produk.. Dari faktor tersebut didapat bahwa nutrisi, hiegine dan keamanan produk faktor yang mempengaruhi konsumen dalam membeli MPASI Instan.
OPTIMASI PREVENTIF MAINTENANCE MENGGUNAKAN METODE RELIABILITY CENTERED MAINTENNACE
Authors: Candra Adi
Published: March 2021

Persaingan industri saat ini semakin ketat, setiap perusahaan dituntut untuk selalu meningkatkan produktfitas  agar bisa bersaing dalam industri. Produktifitas dalam memanfaatkan mesin produksi menjadi salah satu target untuk mendukung terpenuinya kebutuhan dan keinginkan pelanggan. Agar produktifitas mesin tercapai maka salah satu yang perlu dipertimbangkan ialah adanya strategi penerencanaan perawatan pada setiap mesin / peralatan produksi, diantara teknik atau cara merencanakan optimasi pada mesin atau peralatan metode Reliability Centered Maintennace (RCM) bisa diaplikasikan. RCM ialah suatu teknik  maintenance yang  memanfaatkan  informasi   berkenan dengan  keandalan  suatu  komponen,  untuk mendapatkan  strategi  perawatan  yang  efektif, efisien dan  mudah  untuk  dilakukan.  PT. XYZ merupakan perusahaan yang bergerak dalam bidang garmen. Selama ini untuk perawatan mesin di perusahaan tersebut dijadwalkan pada satu tahun sekali, jika melihat dari histori kerusakan kondisi tersebut belum cukup baik untuk menjaga mesin agar tetap beroprasi. Untuk kelancaran proses produksi, perusahaan bergantung pada tingkat ketersediaan meisn atau peralatan penunjang produksi, dikarenakan ketika mesin terjadi kerusakan atau kegagalan pada saat beroperasi maka proses produksi akan terhenti dan tidak tercapainya target produksi yang diinginkan. Adapun tujuan dari penelitian ini, peneliti bermaksud untuk merencanakan strategi perawatan yang optimal dengan menggunakan cara mengidentifikasi penyebab kerusakan mesin dengan metode Failure Mode and Effect Analisis (FMEA) dan dengan  metode RCM untuk dapat mengetahui interval waktu penggantian suatu part atau komponen. Berdasarakan hasil pengumpulan data dilapangan maka peneliti melakukan anlisisi pengolahan data didapatkan hasil penyebab kerusakan dengan metode FMEA yaitu, Jarum patah, Benang putus, Spul putus benang , Sekoci kusut benang, Rotari macet tidak berputar, Faktor kegagalan ataupun kerusakan disebabkan karna belum adanya tindakan perawatan pada mesin yang disebabkan karna belum adanya jadwal perawatan dan pengecekan pada mesin. Kemudian usulan Interval waktu perawatan berdasarkan hasil dengan metode RCM yaitu, jarum interval 1 hari, benang 5 hari, spul interval 12 hari, sekoci interval 10 hari. Untuk kegagalan yang tidak dapat diprediksi maka dilakukan upaya tindakan Condition Monitoring yaitu seperti melakukan pemberian pelumas pada bagian tiang jarum, guna mengurangi terjadi gangguan-gangguan yang menghambat proses produksi.
PERENCANAAN DAN PENGENDALIAN PERSEDIAAN ALUMINIUM SULFAT CAIR DENGAN METODE EOQ STUDI KASUS PADA PDAM TIRTA MAYANG KOTA JAMBI
Authors: Dewi Diana Chandra
Published: March 2021

Penelitian ini bertujuan untuk mengetahui bagaimana Perencanan Dan Pengendalian Aluminium Sulfat Cair  pada PDAM Tirta Mayang Kota Jambi  dengan menggunakan metode EOQ perusahaan dapat menghasilkan biaya yang lebih murah ketika disandingkan dengan teknik yang diterapkan perusahaan selama ini.  Penghematan  yang  didapatkan  jika  metode  EOQ  diaplikasikan  pada perusahaan pada tahun 2019 yaitu senilai Rp 12.039.812,- . Berdasarkan hasil peneltian, persediaan material dengan menggunakan metode Economic Order Quantity dan total biaya persediaan bahan baku dengan metode EOQ hasil yang didapatkan telah efisien sehingga perusahaan dapat mempertimbangkan untuk menggunakan metode EOQ  dalam mengadakan persediaan bahan baku aluminium sulfat cair.
CLOWN, ESE OTRO POETA. GABRIEL CHAMÉ BUENDÍA, UN VIAJE PEDAGÓGICO
Authors:   Instituto de Artes del Espectáculo— FFyL—UBA, Di Lello Lydia
Published: March 2021

La risa rasga el orden, desordena, instaura un mundo. El descubrimiento de que hacía reír fue el punto de inflexión de la bús- queda artística de Gabriel Chamé Buendía. Actor, director, investiga- dor y pedagogo, este artista es una de las figuras más destacadas de la renovación del teatro argentino de postdictadura en los años ochenta. Teatrista de dimensiones nacionales e internacionales, como docente es formador de actores en múltiples ciudades americanas y europeas. Este ensayo pone el foco específicamente en su praxis docente. Este es un método acaso poco usual, pero particularmente productivo para acceder a su poética. Esta perspectiva surge como resultado de mi participación como investigadora—oyente en varios seminarios intensivos de clown dictados por el artista entre los años 2013 a 2016, en Buenos Aires. En ese período le hice varias entrevistas personales de modo de completar algunas de las cuestiones teóricas planteadas en su técnica docente. La presentación incluye información relevada en reportajes periodísticos y textos académicos sobre el arte del clown.
REPRESENTACIONES DE LO JUDÍO EN EL TEATRO ARGENTINO CONTEMPORÁNEO: LA DRAMATURGIA DE SEBASTIÁN KIRSZNER
Authors:   CONICET-Universidad de Buenos Aires, Ansaldo Paula
Published: March 2021

La inmigración masiva de judíos que llegaron a la Argentina desde finales del siglo XIX, provocó que lo judío apareciera represen- tado en el teatro argentino ya muy tempranamente. Sin embargo, si bien no se trata de una temática nueva, en los últimos años la cartelera teatral porteña experimentó un estadillo de obras que abordan problemáticas judías. Este trabajo se centra específicamente en la dramaturgia de Se- bastián Kirszner, un autor que ha desarrollado una poética teatral alre- dedor de lo judío, y que pertenece a la nueva generación de autores que han sido un importante factor en el gran crecimiento experimentado por el campo teatral de Buenos Aires en los últimos años.
https://www.resad.com/Acotaciones.new/index.php/ACT/article/view/393/649
Authors:   Instituto de Artes del Espectáculo. Facultad de Filosofía y Letras. UBA, Lía Sormani Nora
Published: March 2021

En este artículo proponemos una mirada profunda sobre la obra del gran dramaturgo y director argentino Hugo Midón. Para ello analizamos su poética explícita, donde el mismo creador describe sus ideas y propósitos estéticos. La fuente para este trabajo es un artículo que en el año 2003 encargamos a Midón, junto con Jorge Dubatti, di- rector de la Revista Palos y Piedras. Los pensamientos de Midón sobre su obra fueron publicados en la sección «Nuevas praxis, nuevas teorías» bajo el título «El laberinto de la creación. Ficción y realidad en el juego teatral» .
HACIA UN ANÁLISIS DE LA FUNCIÓN DRAMATÚRGICA DE LA VIDEOESCENA
Authors:   UCM, Teira Alcaraz José Manuel
Published: March 2021

The videostage is the field of design in the stage arts that rai- ses from the incorporated technology to the staging, and hence joins the scenography, illumination, costume design, makeup, sound design and graphic design as a part of the stage plastic and the stage sound. Thanks to the experimentation and the increasingly developed and accessible te- chnology, multiple creators have incorporated the videostage into their spectacles, establishing different relations with the scene. This paper studies the state of the art about such relations as generators of contrasts and harmonies depending on their juxtaposition or super- position, which creates a specific theatrical event whose characteristics are not able to exist separately on stage or in the video. Following the premise that a dramaturgical logic must integrate the vi- deostage into the global proposal of the sense of a production, this paper proposes and develops a classification of dramaturgical functions with which the videostage can be used in the theatre. Each of them is exem- plified with spectacles in which they are used. The contemporary uses are also related to the first practices with the audiovisual on stage. The objective is to create an advance in the, for the moment, few methodolo- gical tools which enable an analysis of spectacles with videostage.
Bestätigte Fälle von Malaria in Brasilien zwischen 2011 und 2015
Authors: Almeida Hellen Karine Santos , Fecury Amanda Alves , Oliveira Euzébio , Dendasck Carla Viana , Dias Claudio Alberto Gellis de Mattos
Published: March 2021

Malaria ist eine weltweite Krankheit, die eine hohe Anzahl von Todesfällen verursacht. Es wird durch den Stich der Anopholes Mücke verursacht, die mit dem parasitären Protozoon der Gattung Plasmodium infiziert ist. In diesem Artikel wird die Anzahl der bestätigten Fälle von Malaria in Brasilien in Bezug auf die Jahre der Bestätigung, die Altersgruppe und die Meldung angegeben Region, zwischen 2011 und 2015. Daten aus der SUS-IT-Abteilung, DATASUS und aus Artikeln. Die Anzahl der genannten Personen, Personen zwischen 20 und 39 Jahren, ging zurück, gefolgt von der Gruppe zwischen 49 und 59 Jahren. Die meisten Fälle traten bei Personen des männlichen Geschlechts auf, die meisten Fälle traten bei Menschen weißer Rasse auf, gefolgt von Braunen. Die höchste Anzahl von Fällen pro Schulbildung ist unbekannt, wenn die Schulbildung bekannt ist. Die meisten Fälle treten bei Personen auf, die die Highschool abgeschlossen haben, gefolgt von Menschen mit vollständiger Hochschulbildung In einem städtischen Gebiet weist die südöstliche Region die höchste Anzahl bestätigter Malariafälle im Zeitraum auf, die höchste Anzahl von Fällen trat im Bundesstaat Rondônia auf. Es wird der Schluss gezogen, dass Kampagnen einen Einfluss auf die Gesellschaft hatten und mit der Verringerung der Anzahl übertragbarer Krankheiten wie Malaria zusammenarbeiteten. Männer arbeiten in Gebieten mit einem höheren Kontaminationsrisiko und an Orten mit Vektorproliferation, sodass sie stärker Gebieten mit Mückenproliferation und -ansteckung ausgesetzt sind. In Brasilien wird die Mehrheit der Bevölkerung als weiß bzw. braun anerkannt, daher zeigen die Zahlen, dass diese Ethnien am stärksten infiziert sind. Die Mücke scheint sich an Orten, an denen vom Menschen verursachte Veränderungen stattgefunden haben, leichter zu vermehren. Die städtische Umgebung, da es sich um einen extrem veränderten Ort handelt, verursacht aufgrund der größeren Verfügbarkeit von Brutstätten eine größere Anzahl von Fällen. Es wird angenommen, dass aus diesem Grund die südöstliche Region eine größere Anzahl von Fällen aufweist und dass es auch eine der Regionen des Landes ist, die die meisten Veränderungen durch den Menschen erlitten hat. Die Öffnung von Autobahnen und die Zunahme von Siedlungen erleichtern den Kontakt zwischen Mücken und Menschen. Der Bundesstaat Rondônia verfügt über eine große Anzahl von Siedlungen und Abholzungen, um den Fortschritten Rechnung zu tragen.