bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reliability of Various Predictors for Preoperative Diagnosis of Infraclavicular Brachial Plexus Lesions with Shoulder and/or Elbow Paresis
Authors: Qiu Shan Shan , Chang Tommy Nai-Jen , Lu Johnny Chuieng-Yi , Chuang David Chwei-Chin 
Published: March 2020

Abstract
Background The distinction between supraclavicular and infraclavicular acute brachial plexus injuries (BPIs) could be challenging in cases of combined shoulder and elbow paresis. The reliability of several preoperative predictors was investigated to avoid unnecessary dissection, prolonged operation time, increased postoperative morbidity, and long scars.
Methods Between 2004 and 2013, 75 patients, who sustained acute BPI and presented with motor paresis of shoulder and elbow with preservation of hand function, were included and studied retrospectively. Various predictors including muscles function, sensation, fractures, Tinel's sign and nerve conduction velocity (NCV) studies were reviewed.
Results The highest odds ratio (OR) values for infraclavicular BPI were healthy clavicular head of pectoralis major and biceps, presenting with OR = 36.5 and 31.76, respectively, which were identified the most important predictors.
Conclusion A combination of functioning pectoralis major or biceps, scapular fracture, an infraclavicular Tinel's sign, and normal NCV in the musculocutaneous nerve was highly predictive of an infraclavicular level.
Childhood-Onset Systemic Lupus Erythematosus: How Is It Associated with Breastfeeding and Mode of Delivery?
Authors: Sadeghi Banafsheh , Rayzan Elham , Tahghighi Fatemeh , Shariat Mamak , Nayeri Fatemeh , Ziaee Vahid 
Published: March 2020

AbstractBreast milk is a rich source of infants' nutrition and also known to be a source of immune-enhancing molecules. The perinatal factors might have long-term effects on the immune system and also, breastfeeding may have an important role. Systemic lupus erythematosus (SLE) is a multisystemic autoimmune disease that leads to various organ damages. This idiopathic disease is characterized by high levels of autoantibodies in the circulation. In this case–control study, we have evaluated the association between the breastfeeding and mode of delivery and SLE incidence. In this case–control study, SLE cases were identified in Children's Medical Center and Imam Khomeini Hospital Complex between 2011 and 2017. The control group was chosen from the schools of Tehran and Sari cities. The questionnaires were completed by one of the parents. Seventy-nine cases and 301 controls were included. There was no association among breastfeeding, duration of breastfeeding or exclusive breastfeeding and SLE, the age of diagnosis, or its major organ involvements (p > 0.05). The cesarean section (C-section) method was significantly associated with higher disease incidence (p < 0.005). The feeding method during infancy had no significant impact on SLE incidence and onset, while the C-section method increased the incident rate.
Multicenter Experience with Neurally Adjusted Ventilatory Assist in Infants with Severe Bronchopulmonary Dysplasia
Authors: McKinney Robin L. , Keszler Martin , Truog William E. , Norberg Michael , Sindelar Richard , Wallström Linda , Schulman Bruce , Gien Jason , Abman Steven H. ,   on behalf of the Bronchopulmonary Dysplasia Collaborative
Published: March 2020

Abstract
Objective The aim of this study is to determine patterns of neurally adjusted ventilatory assist (NAVA) use in ventilator-dependent preterm infants with evolving or established severe bronchopulmonary dysplasia (sBPD) among centers of the BPD Collaborative, including indications for its initiation, discontinuation, and outcomes.
Study Design Retrospective review of infants with developing or established sBPD who were placed on NAVA after ≥4 weeks of mechanical ventilation and were ≥ 30 weeks of postmenstrual age (PMA).
Results Among the 13 sites of the BPD collaborative, only four centers (31%) used NAVA in the management of infants with evolving or established BPD. A total of 112 patients met inclusion criteria from these four centers. PMA, weight at the start of NAVA and median number of days on NAVA, were different among the four centers. The impact of NAVA therapy was assessed as being successful in 67% of infants, as defined by the ability to achieve respiratory stability at a lower level of ventilator support, including extubation to noninvasive positive pressure ventilation or support with a home ventilator. In total 87% (range: 78–100%) of patients survived until discharge.
Conclusion We conclude that NAVA can be used safely and effectively in selective infants with sBPD. Indications and current strategies for the application of NAVA in infants with evolving or established BPD, however, are highly variable between centers. Although this pilot study suggests that NAVA may be successfully used for the management of infants with BPD, sufficient experience and well-designed clinical studies are needed to establish standards of care for defining the role of NAVA in the care of infants with sBPD.
Population aging, migration, and productivity in Europe
Authors: Marois Guillaume , Bélanger Alain , Lutz Wolfgang 
Published: March 2020

Significance
Migration is one of the most controversial political topics in industrialized countries. One important aspect is population aging and the prospects of a shrinking labor force in case of low or no immigration. We address this aspect systematically through multidimensional microsimulations for all European Union (EU) member states. The outcome variables considered go beyond the conventional old-age dependency ratios by also studying labor-force dependency ratios and the introduced productivity-weighted labor-force dependency ratio. We consider a wide range of future migration scenarios differing by volume, educational selectivity of migrants, and labor market integration efforts. Combined with alternative scenarios of labor-force participation for the EU-born population, the findings provide scientific insights for future migration and labor policies in Europe.
Compartmentalized processing of catechols during mussel byssus fabrication determines the destiny of DOPA
Authors: Priemel Tobias , Palia Ranveer , Babych Margaryta , Thibodeaux Christopher J. , Bourgault Steve , Harrington Matthew J. 
Published: March 2020

Significance
Catechol chemistry has emerged as a cornerstone of bioinspired polymers and adhesives due to its versatility in creating diverse covalent and dynamic noncovalent interactions (including metal coordination). The concept initially arose from the discovery that mussels use catechol moieties of 3,4-dihydroxyphenylalanine (DOPA) to mediate robust surface adhesion in seawater and to reinforce tough and self-healing biopolymer fibers. Currently, difficulties controlling DOPA redox chemistry limit its synthetic application; yet, mussels overcome this challenge daily through apparent physical and chemical process control. Here, we reveal that mussels employ several different processing pathways that predetermine the cross-linking fate of DOPA-containing proteins via spatiotemporal control of microenvironments in secretory vesicles and later in mature threads—with key significance for advanced polymer design.
More than playfulness
Authors: Zhang Yiqiong , Wang Min , Li Ying 
Published: March 2020

AbstractThis study aims to uncover the complexity of emoji usage on Chinese social media. We investigate emoji usage in comments on push notifications from the WeChat official account ofGuokr, which was chosen as a representative for an open forum for public communication. The data includes 2,552 comments from 90 articles pushed by the account. The analysis adopts a discourse-pragmatic perspective within the framework of intercultural pragmatics (Kecskes 2014), taking into account both the local discourse environment and the cultural context. It is found that Chinese WeChat users show a preference for using emojis that are unique to the WeChat platform. Qualitative analyses were carried out on selected WeChat emojis used in comments fulfilling the speech acts of self-disclosure, self-praise, humor and complaining. Emojis are found to be used to perform and reinforce a sense of playfulness in social media, but underlying this playfulness there is a discursive conformity to social norms in real life. The use of emojis resolves the tension between the openness and freedom in social media and the conservative, constraint-bounded nature of established social norms.
Data integration for accelerated materials design via preference learning
Authors: Sun Xiaolin , Hou Zhufeng , Sumita Masato , Ishihara Shinsuke , Tamura Ryo , Tsuda Koji 
Published: March 2020

Abstract
Machine learning applications in materials science are often hampered by shortage of experimental data. Integration with external datasets from past experiments is a viable way to solve the problem. But complex calibration is often necessary to use the data obtained under different conditions. In this paper, we present a novel calibration-free strategy to enhance the performance of Bayesian optimization with preference learning. The entire learning process is solely based on pairwise comparison of quantities (i.e., higher or lower) in the same dataset, and experimental design can be done without comparing quantities in different datasets. We demonstrate that Bayesian optimization is significantly enhanced via data integration for organic molecules and inorganic solid-state materials. Our method increases the chance that public datasets are reused and may encourage data sharing in various fields of physics.
A Side-Channel Attack Resistive ECDSA
Authors: Samir Abo-Taleb A. , Shalaby M. , Nabil M. , Elramly Salwa 
Published: March 2020

Abstract
Elliptic curve plays an important role in securing critical software applications as it is one of the most powerful and widely utilized encryption algorithms. It is used in many applications such as digital signature schemes. Elliptic curve algorithms are hard to break, however, attackers find another indirect and more efficient methods to estimate secret information behind any secured systems with the help of information leakages so that they can successfully reconstruct critical objects like private keys. These methods are called side- channel attacks. In this paper we propose a software implementation of ECDSA which can counteract cache memory side-channel attack using three techniques, namely, “Fisher Yates” algorithm, volatile memory objects, and thread locking.
Evaluating IT Governance Structure Implementation in the Gulf Cooperation Council Region
Authors: Nicho Mathew , Muamaar Suadad 
Published: March 2020

AbstractIT governance (ITG) implementations in organizations started to gain momentum during the turn of the twenty first century mainly due to (but not limited to) the need for IT business alignment, better return of investment, effective utilization of IT and for a strategic direction of IT. This initially mandates to establish and implement a set of ITG structures in the organization to initiate, adopt, and implement relevant ITG frameworks to set in the motion of successful ITG implementation. While researchers have stated twelve relevant ITG structures that needs to be set in place, two questions remain in terms of the two factors namely ‘ease of implementation/use’ and ‘effectiveness’ of these ITG structures. With scant research in this domain, we explore the relationship of these two factors on the twelve ITG structures through a survey of senior managers involved in ITG domain in the Gulf Cooperation Council (GCC) region. With diverse board and executive level cultures evident in different regions of the world, the adoption of these ITG frameworks and standards depend on the ITG practices being followed in each cultural context. The results thus assist organisations and ITG consultants in the GCC region to know the level of effectiveness of relevant ITG structures as well as the implementation effort required for these.
Hybrid Signature Scheme Integrating Elliptic Curve Cryptosystem with Ong, Schnorr, and Shamir Digital Signature Scheme
Authors: Eltaib Hisham A. , AbdelRassoul Roshdy , Ieee SM , Zaghloul Mohamed Saad 
Published: March 2020

Abstract
Transmitting data over unsecured Channels is one of the most indispensable issues which motivates researchers to study. In this paper, a new hybrid digital signature approach is going to be proposed which integrates the elliptic curve cryptosystem (ECC) into Ong, Schnorr, and Shamir signature (OSS). A self-invertible 8×8 key matrix will be utilized as a portion of the OSS digital signature. The strength of the proposed technique relies on combining couple of fundamental mathematical problems namely the discrete logarithm problem (DLP) and integer factorization problem (IFP). Elaborated results regarding security and time rendering analysis have been measured and confirmed its durability against diverse patterns of attacks. The submitted technique can be applied as a substitutional protocol if all the familiar systems are executed.
A MIP Model for Experimental Courses Scheduling
Authors: Zhu Yuhan , Jing Jielin , Liu Jiawen , Wang Xiaoshan , Luo Yong 
Published: March 2020

Abstract
In this paper, we propose a mixed integer programming (MIP) model to solve the experimental courses scheduling problem. And we use the experimental courses historical data in our information systems to solve the MIP model. The results of the numerical example demonstrate that the proposed model can reach an optimal solution in a short period of time. The MIP model can provide the decision-making support for the experimental courses arrangement.
Core Topics Discovery in Sustainable Supply Chain Literature: An Automatic Approach
Authors: Montenegro Carlos , Loza-Aguirre Edison , Segura Marco , Yanez Eddie 
Published: March 2020

Abstract
The study of Sustainable Supply Chain (SSC) has evolved and expanded over the last two decades. This study uses text mining and machine learning methods for automatically identify and classify the topics that permeate a collection of documents. The topics of SSC research were identified, using the Latent Dirichlet Allocation model, from 684 articles published between 2001 and 2017 in 13 top journals. Then, we explored trends by examining changes in the classification of topics in different periods and by identifying the hot and cold topics of SSC research. The relationships of these topics with the journals were also determined. Finally, applying the Competitive Neural Network learning model, the topics were classified according to the Elkington’s Triple Bottom Line precepts. The findings of this study are expected to provide clues for researchers and policymakers in the field of SSC.
Insulator Recognition and Fault Detection Using Deep Learning Approach
Authors: Antwi-Bekoe Eldad , Zhan Qiugang , Xie Xiurui , Liu Guisong 
Published: March 2020

Abstract
Uninterrupted power supply to electric power consumers has increasingly become a global necessity. Monitoring the health of distribution network is crucial to provide quality service. Traditional monitoring methods based on on-site patrols to detect faults have increasingly become labor-intensive and time-consuming, raising demand for new and more efficient techniques. To address this issue, we propose faster-RCNN by MXNet for both detection and classification tasks. We utilize convolutional neural network (CNN) for detecting and classifying both insulator components and faulty insulator discs from images captured on overhead electric power transmission systems. Using a dataset of images acquired through UAV (unmanned aerial vehicle) captures, detection and classification is dealt with by dividing the picture content of the training set into three classes: background, insulator and the defective part of insulator. We achieve target insulator recognition and positioning with impressive precision compared to other traditional technologies. Our work could have practical integrated implementation solutions for automated inspection of overhead transmission power line insulators. The code used can be found at https://github.com/QgZhan/Insulator-Defect-Detection.
Visual Recognition and Localization of Printed Circuit Board
Authors: Zhang Yi , Zhou Zhifeng , Zheng Lei , Zhu Zina , Xiao Peng 
Published: March 2020

Abstract
Precise positioning is one of the key steps in defect detection for printed circuit boards. This paper proposes a method to evaluate the roundness of printed circuit board image by least squares method and determine the position of the target circle by area sorting and screening method to realize the accurate extraction of the positioning parameters of the circular reference point (positioning circle). The CCD camera is used to capture images of the printed circuit board, and the median filtering is used for image preprocessing. The printed circuit board is separated from the image background by the gray projection segmentation technique, and the object in the image smaller than the positioning circle area is hidden. After comparing the circularity of the graphic in the printed circuit board image, two positioning circles are found according to the size of the graphic area to determine the coordinates of the center of the circle. The experimental results show that the positioning circle detection result of this method is accurate and requires less time than the traditional Hough transform detection circle.
Region and forecasting of banana commodity in seroja agropolitan area lumajang
Authors: Zahrosa D B , Soetriono  , Soejono D , Maharani A D , Baihaqi Y , Amam  
Published: March 2020

Abstract
Banana commodity has a crucial role in supporting the economic growth of Lumajang Regency, especially in Seroja Agropolitan Area. One aspect that must be observed in the development of banana commodity is how to pay attention to regional conditions, bearing in mind that each region has different characteristics. The objectives of this study are to find out that Seroja, the Agropolitan area, is a banana commodity production base area and the forecast of banana commodity production in the next five years. The locations of the study are Senduro and Pasrujambe Subdistricts, with the consideration that the sub-district is the Seroja Agropolitan area Lumajang Regency. The research method applies an analytical approach. The data collection method uses secondary data, in which the available statistical data has been published by BPS. The data analysis method used is base and non-base sector analysis Location Quotient and Box-Jenkins Model (ARIMA) analysis. The results show that out of 21 districts in Lumajang Regency there are Pasrujambe and Senduro. The LQ value of Pasrujambe is 2.02 and Senduro is 2.01. This means that Pasrujambe and Senduro Subdistricts in the Seroja Agropolitan Area are centers of banana potential and must be managed as continuously as possible. The banana production forecast for 2018-2027 tends to be constant and decrease. This is consistent with the previous year of fluctuating production data and tends to decline.
A potency of ELF magnetic field utilization to the process of milkfish preservation (chanos chanos)
Authors: Sudarti  , Supriadi B , Subiki  , Harijanto A , Nurhasanah  , Ridlo Z R 
Published: March 2020

Abstract
This research aims to prove that Extremely Low Frequency (ELF) magnetic field radiation can be used in the process of milkfish preservation. The sampling consists of three groups, the first group is exposed by ELF magnetic field of 750 μT, the second group is exposed by ELF magnetic field of 900 μT, and these groups are exposed in 2x 30 minutes and 2x 45 minutes. The third group is the control, which does not need to be exposed by the ELF magnetic field. The research finding shows that the ELF magnetic field radiation exposure of 730-μT intensity during 2x30 minutes in the fresh milkfish has been proven to reduce bacterial growth up to 73% and the exposure of 880μT ELF magnetic field radiation can reduce the bacterial growth up to 62% in the fifth hour after the exposure than the control. Meanwhile, the ELF magnetic field exposure by the intensity of 730μT or 880μT during 2 x 45 minutes significantly shows the stability of bacteria number than the control. Therefore, the ELF magnetic field radiation in more than 700μT intensity in 2 x 30 minutes has the potential to be applied in the process of milkfish preservation.
The molecular phylogenetic of payangga (G. margaritacea), manggabai (G. giuris) and hulu’u from Limboto Lake based on cytochrome B sequences
Authors: Nuha U , Amin M , Lestari U 
Published: March 2020

AbstractPayangga (G. margaritacea), manggabai (G. giuris), and hulu’u are native fishes that live in Limboto Lake, Gorontalo. The aim of this research was to describe the molecular phylogenetic of payangga (G. margaritacea), manggabai (G. giuris), and hulu’u based oncytochrome bsequences. The phylogenetic three was reconstructed using MEGA 6.0 with Neighbour Joining (NJ) and Minimum Evolution (ME) methods. The result indicated that hulu’u was included in the same cluster with three comparable species, namelyP. microps, P. minutus, andC. chanos, whileG. giurisbelongs to the same cluster asG. margaritacea.
Diversity of freshwater shrimp (decapoda) from bandealit rivers meru betiri national park, East Java, Indonesia
Authors: Susilo V E , Suratno  , Fadillah N , Narulita E , Wowor D 
Published: March 2020

Abstract
Freshwater ecosystems are habitat for macroinvertebrate, fish and reptile groups. One of the macroinvertebrates that can be found in freshwater habitat is shrimp which belongs to the class of Crustaceae, order of Decapoda. This study aims to determine diversity and the abiotic conditions of freshwater shrimp habitat. Determination of sampling locations was done by purposive sampling based on the habitat type of freshwater shrimp and followed by road sampling that takes the straight path from the designated sampling location. The tools used to catch freshwater shrimp are traps and tray nett. The results obtained in the Bandealit river of Meru Betiri National Park were five species of freshwater shrimp consisting of 2 families. The diversity index of freshwater shrimp in the Bandealit river was classified as moderate by the analysis of diversity index. Meru Betiri National Park has ideal abiotic conditions for freshwater shrimp life.
Optimizing lactobacillus growth in the fermentation process of artificial civet coffee using extremely- low frequency (ELF) magnetic field
Authors: Sudarti  , Bektiarso S , Prastowo S H B , Prihandono T , Maryani  , Handayani R D 
Published: March 2020

Abstract
This study aimed to analyze the fermentation process of Civet Coffee through Extremely Low Frequency (ELF) magnetic field radiation. The research method used a Completely Randomized Design (CRD) experimental. The sample of high quality pulped coffee that fermented by adding α- amylase and is grouped in seven. The six groups are exposed by ELF magnetic field in 100 μT and 300μT for 15 minutes, 30 minutes, and 45 minutes, and one group is served as the control. The result indicated that the population of Lactobacillus in the experiment groups increases significantly compared to the control. The exposed sample achieves the highest population in 300 μT intensity for 45 minutes. Also, the total of pH during the fermentation process did not show any significant changes. ELF magnetic field exposure in 300 μT optimized Lactobacillus proliferation drastically in the fermentation process of artificial Civet coffee. This research can contribute to developing fermentation technology based on ELF magnetic field radiation as well as improving the quality of artificial Civet coffee.