bluuebunny/crossref_metadata_2025_split huggingface dataset:
A study on drill machining for Magnesium alloy using Taguchi method
Authors: Ibrahim G A , Burhanuddin Y , Emrijakto D 
Published: June 2020

Abstract
Magnesium is one the very important material light weight, especially in the field of the vehicle component, and the field of biomedical. Application of material magnesium and its alloy in the field of biomedical based on the magnesium characteristics which look very much like the nature of biocompatibility of bones in man and melted down within the body. Application material magnesium are also many developed by means of grown (implant). Magnesium alloy material has some of the more in the chemical nature and physics, but in the machining process a magnesium alloy known as combustible metal material type, especially during the machining process at high speed. The optimizing of machining process is necessary in order to maintain for not chip burning. In this research, the point angle, lubricant and drilling parameter were analysed to know their influence on the value of surface roughness, cylindricity and perpendicularity. On this research analysis support for new carried out using a Taguchi Method L18 consisting of 3 factors with 3 levels and 1 factors with 2 levels. The research results show that surface roughness is influenced by the significant contributions from the point angle 18.9 % and lubricant 14.5 %, where the point angle is 650 with lubricant of synthetic oil. The emergence of a nose radius tendency resulting in the increasing level subtlety. Cylindricity is influenced by an point angle 450 of the drilling process however, especially if there is an interactions of the feeding of 0.2 mm/rev and synthetic lubricant. The cutting edge accuracy led to a tangential force so that had an impact on their rotation stability and the cylindricity of drilling results. The value of perpendicularity of magnesium AZ31 in the drilling process however also carried out similar procedures are very much influenced by the cutting parameter of feeding that produces the significance of p = 0,044, while the strongest significance will be happened if there were an interaction between feeding of 0,1 mm and synthetic lubricant to p = 0.041.
Identification and plastic type and classification of PET, HDPE, and PP using RGB method
Authors: Yani I , Rosiliani D , Khona’ah B , Almahdini F A 
Published: June 2020

Abstract
Plastic is one of the most commonly used materials in daily life. The characteristics of the material that is light, durable, waterproof, and cheap become the main reason why plastic is chosen in the manufacture of ready to use goods. However, due to the increasing use of plastic materials, the amount of waste produced is significant, and tends to increase over time. Therefore, an effective process and recycling of plastic waste are needed. This paper will discuss a method of identifying and classifying plastic waste by type, that use three types of plastic, there are PET, HDPE and PP. The method used in this study is the RGB method, that based on the color value of the plastic.
Temperature distribution simulation on Aluminum incineration furnace using Autodesk simulation mechanical CFD 2018
Authors: Thamrin I , Yani I , Yusuf F H , Abidin Z , Maseko T 
Published: June 2020

Abstract
Used lubricating oil is one of the liquid wastes which is produced by an industrial machine or private vehicle machine. Lubricating oil is a waste that is produced by machines in both large industrial and private vehicle engines. This research aims to examine the process of manufacture and the system of oil-fueled crucible stoves, and simulated the temperature at aluminium melting furnace by doing some form of design testing; selection of furnace material using carbon steel, brick, plate; furnace modeling which has three parts of crucible, fireproof stone and lids where the three parts have different sizes and uses of each, then set the simulation as what we aim to such as the temperature distribution where the air temperature reached 40°C heat source from combustion 1200°C. From the combustion, the velocity value obtained is 0.5 in/s, distribution at crucible is 749°C. In conclusion, the used oil smelting furnace can melt used aluminium metal, so that the used metal oil melting furnace can be used in the home industry to recycle used aluminium metal.
Implications of automotive product sustainability on young customers’ purchase intention in developing countries: an experimental approach
Authors: Panuju A Y T , Ambarwati D A S , Susila M D 
Published: June 2020

Abstract
Manufacturing of sustainable products is on a high demand in order to attain a global responsible consumption and production pattern. Among the emerging efforts of various manufacturing companies, production of sustainable vehicles takes a special attention due to its massive impacts to the world’s sustainability dimensions. Meanwhile, youngsters in developing countries are interesting prospective customers for automotive products because their misterious characteristics and potential to contribute to the future sustainability. The research investigated the connectivities between automotive products sustainable designs and young customers purchase intention in Indonesia, using an experimental workshop. Empirical results have shown that each dimension has a significant effect to the youngsters’ preferences, although with different levels.
Energetic and exergetic performance computation of coal-fired steam power plant using IAPWS IF-97 formulation for target variable datasets generation in machine learning based performance prediction
Authors: Risano A Y E , Prabowo A D 
Published: June 2020

Abstract
More than 50% of power plants in Indonesia are Coal-Fired Steam Power Plants. According to the Ministry of Energy and Mineral Resources of Indonesia, coal reserves in Indonesia will run out in 67 years. Fuel saving can be done by operating the system at the highest efficiency operating conditions. These conditions can be determined by analysing the operating history of the system along with the energetic and exergetic performance produced using machine learning algorithm. Unfortunately, energetic and exergetic performance calculation of the Coal-Fired Steam Power Plants system that is not easy results in lack of system performance target datasets generated from the history of the Coal-Fired Steam Power Plants operation, so that the Steam Powerplant performance data generation software written using the Python programming language is created in this paper to calculate the Coal-Fired Steam Power Plants energetic and exergetic performance using IAPWS IF-97 formulation quickly and accurately. Accuracy of the software written in this paper was tested using the Coal-Fired Steam Power Plants performance values calculated manually as a comparison and result difference between the two types of calculations below 1% and able to cut manual calculation time from 142.46 minutes to 14.34 minutes using the software which is feasible to generate target variable datasets needed for performance prediction using machine learning algorithm.
Influence of plasma remelting conditions on quantitative graphite dissolution and modified surface characteristics in 500-12 ductile iron
Authors: Jahun Falalu Rabiu , Benhua Zhang , Yuqiu Song , Ruili Wang , Siyao Liu 
Published: June 2020

Abstract
In this study, the influence of multi-pass plasma remelting conditions on quantitative graphite nodules dissolution, surface hardening and wear resistance of 500-12 ductile iron was evaluated. Surface remelting was carried out at various levels of heat inputs using high-temperature plasma beams. The graphite dissolution was uniquely quantified via image analysis approach, and then the remelted surface layer was characterized for phase transformation, microstructure, hardness and wear resistance. The remelting process parameters (arc current and scanning speed) showed significant (p < 0.01) influence, both on graphite nodules dissolution and surface hardening. Consequently, microstructure of the treated layer is modified and the surface exhibited a significant improvement in hardness and wear resistance. In addition, treatment conditions having slower scanning speed showed better surface modification. Therefore, the plasma remelting enhanced surface hardness and dry sliding wear resistance of 500-12 ferrictic ductile cast iron, which makes it suitable for application in a severe wear condition.
DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences
Authors: Li Jiawei , Pu Yuqian , Tang Jijun , Zou Quan , Guo Fei 
Published: June 2020

Abstract
Quantifying DNA properties is a challenging task in the broad field of human genomics. Since the vast majority of non-coding DNA is still poorly understood in terms of function, this task is particularly important to have enormous benefit for biology research. Various DNA sequences should have a great variety of representations, and specific functions may focus on corresponding features in the front part of learning model. Currently, however, for multi-class prediction of non-coding DNA regulatory functions, most powerful predictive models do not have appropriate feature extraction and selection approaches for specific functional effects, so that it is difficult to gain a better insight into their internal correlations. Hence, we design a category attention layer and category dense layer in order to select efficient features and distinguish different DNA functions. In this study, we propose a hybrid deep neural network method, called DeepATT, for identifying $919$ regulatory functions on nearly $5$ million DNA sequences. Our model has four built-in neural network constructions: convolution layer captures regulatory motifs, recurrent layer captures a regulatory grammar, category attention layer selects corresponding valid features for different functions and category dense layer classifies predictive labels with selected features of regulatory functions. Importantly, we compare our novel method, DeepATT, with existing outstanding prediction tools, DeepSEA and DanQ. DeepATT performs significantly better than other existing tools for identifying DNA functions, at least increasing $1.6\%$ area under precision recall. Furthermore, we can mine the important correlation among different DNA functions according to the category attention module. Moreover, our novel model can greatly reduce the number of parameters by the mechanism of attention and locally connected, on the basis of ensuring accuracy.
Phosphorylated tau interactome in the human Alzheimer’s disease brain
Authors: Drummond Eleanor , Pires Geoffrey , MacMurray Claire , Askenazi Manor , Nayak Shruti , Bourdon Marie , Safar Jiri , Ueberheide Beatrix , Wisniewski Thomas 
Published: June 2020

AbstractAccumulation of phosphorylated tau is a key pathological feature of Alzheimer’s disease. Phosphorylated tau accumulation causes synaptic impairment, neuronal dysfunction and formation of neurofibrillary tangles. The pathological actions of phosphorylated tau are mediated by surrounding neuronal proteins; however, a comprehensive understanding of the proteins that phosphorylated tau interacts with in Alzheimer’s disease is surprisingly limited. Therefore, the aim of this study was to determine the phosphorylated tau interactome. To this end, we used two complementary proteomics approaches: (i) quantitative proteomics was performed on neurofibrillary tangles microdissected from patients with advanced Alzheimer’s disease; and (ii) affinity purification-mass spectrometry was used to identify which of these proteins specifically bound to phosphorylated tau. We identified 542 proteins in neurofibrillary tangles. This included the abundant detection of many proteins known to be present in neurofibrillary tangles such as tau, ubiquitin, neurofilament proteins and apolipoprotein E. Affinity purification-mass spectrometry confirmed that 75 proteins present in neurofibrillary tangles interacted with PHF1-immunoreactive phosphorylated tau. Twenty-nine of these proteins have been previously associated with phosphorylated tau, therefore validating our proteomic approach. More importantly, 34 proteins had previously been associated with total tau, but not yet linked directly to phosphorylated tau (e.g. synaptic protein VAMP2, vacuolar-ATPase subunit ATP6V0D1); therefore, we provide new evidence that they directly interact with phosphorylated tau in Alzheimer’s disease. In addition, we also identified 12 novel proteins, not previously known to be physiologically or pathologically associated with tau (e.g. RNA binding protein HNRNPA1). Network analysis showed that the phosphorylated tau interactome was enriched in proteins involved in the protein ubiquitination pathway and phagosome maturation. Importantly, we were able to pinpoint specific proteins that phosphorylated tau interacts with in these pathways for the first time, therefore providing novel potential pathogenic mechanisms that can be explored in future studies. Combined, our results reveal new potential drug targets for the treatment of tauopathies and provide insight into how phosphorylated tau mediates its toxicity in Alzheimer’s disease.
Connexins in neuromyelitis optica: a link between astrocytopathy and demyelination
Authors: Richard Chloé , Ruiz Anne , Cavagna Sylvie , Bigotte Maxime , Vukusic Sandra , Masaki Katsuhisa , Suenaga Toshihiko , Kira Jun-Ichi , Giraudon Pascale , Marignier Romain 
Published: June 2020

Abstract
Neuromyelitis optica, a rare neuroinflammatory demyelinating disease of the CNS, is characterized by the presence of specific pathogenic autoantibodies directed against the astrocytic water channel aquaporin 4 (AQP4) and is now considered as an astrocytopathy associated either with complement-dependent astrocyte death or with astrocyte dysfunction. However, the link between astrocyte dysfunction and demyelination remains unclear. We propose glial intercellular communication, supported by connexin hemichannels and gap junctions, to be involved in demyelination process in neuromyelitis optica. Using mature myelinated cultures, we demonstrate that a treatment of 1 h to 48 h with immunoglobulins purified from patients with neuromyelitis optica (NMO-IgG) is responsible for a complement independent demyelination, compared to healthy donors’ immunoglobulins (P &lt; 0.001). In parallel, patients’ immunoglobulins induce an alteration of connexin expression characterized by a rapid loss of astrocytic connexins at the membrane followed by an increased size of gap junction plaques (+60%; P &lt; 0.01). This was co-observed with connexin dysfunction with gap junction disruption (−57%; P &lt; 0.001) and increased hemichannel opening (+17%; P &lt; 0.001), associated with glutamate release. Blocking connexin 43 hemichannels with a specific peptide was able to prevent demyelination in co-treatment with patients compared to healthy donors’ immunoglobulins. By contrast, the blockade of connexin 43 gap junctions with another peptide was detrimental for myelin (myelin density −48%; P &lt; 0.001). Overall, our results suggest that dysregulation of connexins would play a pathogenetic role in neuromyelitis optica. The further identification of mechanisms leading to connexin dysfunction and soluble factors implicated, would provide interesting therapeutic strategies for demyelinating disorders.
Guidelines on multidisciplinary approaches for the prevention and management of diabetic foot disease (2020 edition)
Authors: Wang Aiping , Lv Guozhong , Cheng Xingbo , Ma Xianghua , Wang Wei , Gui Jianchao , Hu Ji , Lu Meng , Chu Guoping , Chen Jin’an , Zhang Hao , Jiang Yiqiu , Chen Yuedong , Yang Wengbo , Jiang Lin , Geng Houfa , Zheng Rendong , Li Yihui , Feng Wei , Johnson Boey , Wang Wenjuan , Zhu Dalong , Hu Yin 
Published: June 2020

AbstractIn recent years, as living standards have continued to improve, the number of diabetes patients in China, along with the incidence of complications associated with the disease, has been increasing. Among these complications, diabetic foot disease is one of the main causes of disability and death in diabetic patients. Due to the differences in economy, culture, religion and level of medical care available across different regions, preventive and treatment methods and curative results for diabetic foot vary greatly. In multidisciplinary models built around diabetic foot, the timely assessment and diagnosis of wounds and appropriate methods of prevention and treatment with internal and external surgery are key to clinical practice for this pathology. In 2019, under the leadership of the Jiangsu Medical Association and Chinese Diabetes Society, the writing group for the Guidelines on multidisciplinary approaches for the prevention and management of diabetic foot disease (2020 edition) was established with the participation of scholars from the specialist areas of endocrinology, burn injury, vascular surgery, orthopedics, foot and ankle surgery and cardiology. Drawing lessons from diabetic foot guidelines from other countries, this guide analyses clinical practices for diabetic foot, queries the theoretical basis and grades and gives recommendations based on the characteristics of the pathology in China. This paper begins with assessments and diagnoses of diabetic foot, then describes treatments for diabetic foot in detail, and ends with protections for high-risk feet and the prevention of ulcers. This manuscript covers the disciplines of internal medicine, surgical, nursing and rehabilitation and describes a total of 50 recommendations that we hope will provide procedures and protocols for clinicians dealing with diabetic foot.Registry number: IPGRP-2020cn124
Smaller Volume in Left-Lateralized Brain Structures Correlates with Greater Experience of Negative Non-target Emotions in Neurodegenerative Diseases
Authors: Chen Kuan-Hua , Hua Alice Y , Lwi Sandy J , Haase Claudia M , Rosen Howard J , Miller Bruce L , Levenson Robert W 
Published: June 2020

AbstractSubjective emotional experience that is congruent with a given situation (i.e., target emotions) is critical for human survival (e.g., feeling disgusted in response to contaminated food motivates withdrawal behaviors). Neurodegenerative diseases including frontotemporal dementia and Alzheimer’s disease affect brain regions critical for cognitive and emotional functioning, resulting in increased experience of emotions incongruent with the situation (i.e., non-target emotions, such as feeling happy when seeing someone grieving). We examined neuroanatomical correlates of subjective experience of non-target emotions in 147 patients with neurodegenerative diseases and 26 healthy individuals. Participants watched three films intended to elicit particular target emotions and rated their experience of negative and positive target and non-target emotions after watching each film. We found that smaller volume in left hemisphere regions (e.g., caudate, putamen, and dorsal anterior insula) was associated with greater experience of negative non-target emotions. Follow-up analyses confirmed that these effects were left-lateralized. No correlates emerged for positive non-target emotions. These findings suggest that volume loss in left-hemisphere regions produces a more diffuse, incongruent experience of non-target emotions. These findings provide a potential neuroanatomical basis for understanding how subjective emotional experience is constructed in the brain and how this can be disrupted in neurodegenerative disease.
Novel Coronavirus 2019 Transmission Risk in Educational Settings
Authors: Yung Chee Fu , Kam Kai-qian , Nadua Karen Donceras , Chong Chia Yin , Tan Natalie Woon Hui , Li Jiahui , Lee Khai Pin , Chan Yoke Hwee , Thoon Koh Cheng , Ng Kee Chong 
Published: June 2020

Abstract
Transmission risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in schools is unknown. Our investigations, especially in preschools, could not detect SARS-CoV-2 transmission despite screening of symptomatic and asymptomatic children. The data suggest that children are not the primary drivers of SARS-CoV-2 transmission in schools and could help inform exit strategies for lifting of lockdowns.
Geographic Core Areas of Coinfections in Washington, District of Columbia: Recommendations for Planning Prevention-Intervention to Mitigate Human Immunodeficiency Virus Burden
Authors: Das Suparna , Allston Adam , Opoku Jenevieve , Kharfen Michael 
Published: June 2020

Abstract

Background
Research suggests that human immunodeficiency virus (HIV)–positive individuals with a sexually transmitted infection (STI) may be at increased risk of transmitting HIV to someone else through unprotected sex. The primary aim of the analysis is to identify the high-risk geographic areas of transmission of coinfections and factors that may be associated with poor outcomes of viral suppression within these higher-risk geographic areas, thus important in transmission prevention.

Methods
We used surveillance data reported by all providers and laboratories in the District of Columbia (DC). Applied discrete Poisson scan model in SaTScan to identify the geographic areas. The relative risk (RR) for the scan statistic was calculated based on events inside the cluster, and P values evaluated statistical significance. We used multinomial logistical regression to explore care and demographical characteristics associated with being virally unsuppressed within and outside the geographic areas.

Results
The coinfected areas (RR, &gt;1; P &lt; .001) were located in the tracts of central and southern DC. Black population (RR, 3.154 [95% confidence interval {CI}, 1.736–5.729]), age 13–19 years (RR, 4.598 [95% CI, 3.176–6.657]), repeat STIs (RR, 1.387 [95% CI, 1.096–1.754]), and not retained in care (RR, 2.546 [95% CI, 1.997–3.245]) were found to be at higher risk of being virally unsuppressed within the coinfected clusters. Those with unknown linkages were found to be at higher risk of being virally unsuppressed outside the coinfected clusters (RR, 5.162 [95% CI, 2.289–11.640]).

Conclusions
This is DC’s first effort to identify the geographic core areas of coinfections and factors that may be sustaining them. These results will be used by the health department to plan for prevention-intervention strategies. This model be replicated by any local jurisdiction similar.
Identifying present bias and time preferences with an application to land-lease-contract data1
Authors: Gautier Pieter A , van Vuuren Aico 
Published: June 2020

SummaryWhat can contracts—traded and priced in a competitive market and featuring a pre-specified system of future payments—teach us about time preferences and present bias? We first show that identification of present bias requires assumptions on the felicity function and that agents must have credit constraints on consumption expenditure. Moreover, when there is heterogeneity in present bias, identification requires that agents with the same present bias parameter buy houses with different contracts. We illustrate our findings with observational land-lease-contract data from Amsterdam.