bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis Roofing Quality Control Using Statistical Quality Control (SQC) (Case Study: XYZ Company)
Authors: Ishak Aulia , Siregar Khawarita , Ginting Rosnani , Manik Afrianti 
Published: December 2020

Abstract
Quality is a dynamic condition related to products, services, people, processes and the environment that satisfy or exceeds expectations. Quality is the main factor for consumers in choosing products. The quality of products by company determine based on certain sizes and characteristics. XYZ company is a company engaged in Baja Lembaran Lapis Seng (BJLS) which produces zinc roofing. In order to survive in competitive market, improving quality and productivity of product is must for any company. Based on production on 2019 showed that there were 49,660 defective products out of 824,574 total production meaning that there were 5.95% of defective products that exceeded the companys tolerance limit of 2%. many products that defective products that cause repeat activities and losses finished products cause harm to the company. This study reports the application of statistical quality control techniques to ensure roofing quality and to minimize the presence of defective products. the results of the analysis with the P control map show that all data on the number of defects are still in the control limit with a Cp value of 0.9410, which is low improvements the product or process so able to continue to improve the quality of its products.
The Fuzzy Failure Mode and Effect Analysis (FMEA) Method to Improve Roofing Product’s Quality (case study : XYZ Company)
Authors: Ishak Aulia , Siregar Khawarita , Ginting Rosnani , Manik Afrianti 
Published: December 2020

Abstract
Evaluation and improvement of production performance are things that must be considered in an effort to maintain and improve the quality of production results. One level in measuring production performance is smooth production. Good risk management can support and maintain the smooth production process in the company. This research was conducted at PT XYZ with the aim to reduce the risk of failure of zinc products and propose improvements to the risk of product failure to improve the quality of zinc products. The method used in this case is Fuzzy FMEA (Failure Mode and Effect Analysis). Fuzzy logic approach is preferred to eliminate this shortcoming in setting risk priorities number. The use of the Fuzzy FMEA method can generate priority figures for failure modes so that problems can be solved efficiently in an effort to improve production performance. The results of this study are failure modes. One of the rollers got the highest FRPN value of 880,289 so that failure due to incorrect grinding machine settings and the lack of operator accuracy in positioning zinc was recommended as a major improvement to minimize milling error failures in the production process.
Analysis of Obstacles in The Unloading Process with Failure Mode and Effect Analysis (FMEA) in PT. XYZ
Authors: Siregar Khawarita , Tarigan Ukurta , Spencer Richard 
Published: December 2020

Abstract
Distraction that occur can have a bad effect on time, financially and product quality. This disorder can be caused by various factors such as the influence of human factors, machinery and production equipment, work environment, and work methods. Based on preliminary observations, many obstacles occur during the unloading process both mechanically and electrically. Thus, an analysis is carried out on the process of unloading wheat from the ship to the silo with FMEA. Based on the analysis after calculating the RPN, the recommendation for problem on silo is to increase the number of silos so that the production process is more efficient. Based on the calculation of the RPN, obtained that resistance at PT. XYZ the weigher to be aware of is the sensor that is often damaged. Recommendations for improvement are regular checks on the sensors weigher. In the unloading process, there are some disturbances that occur so that it is not optimal.
Maritime inventory routing problem with undedicated compartments: A case study from the cement industry
Authors: Rusdianto M , Siswanto N 
Published: December 2020

Abstract
The cost of sea transportation in the cement industry located in an archipelago country has a large contribution of the overall cost because cement is a heavy product but the price is cheap and must be distributed to packing plants that are spread across several islands. The high level of competition among cement companies makes the issue of cost efficiency and inventory availability a major concern for companies. This paper proposed a solution to maritime inventory routing problems (MIRP) to minimize the cost of sea transportation faced by a cement company in the Indonesian archipelago in meeting the needs at the consumption port. Unlike other multi-product handling such as oil and other chemicals that require the use of special compartments on ships, undedicated ship compartments are generally used on multi-product cement carriers. To solve this problem, we developed a mixed-integer linear programming (MILP) model to minimize transportation costs with an inventory level that remains unfulfilled during the planning horizon period. The results of this optimization provide a global optimum with the total cost of transportation about IDR 3.69 billion for the second week period in October 2019 and maintained the availability of cement during this period.
Lean Hospital Approach for Improving The Process of Taking Drug Services in Outpatient Pharmacy Installations
Authors: Nina Y , Hakim I M 
Published: December 2020

Abstract
Lean is a method to reduce activities in the form of waste to increase efficiency in manufacturing or production lines and can be implemented in health services. This study analyse the flow of prescription services in BPJS Outpatient Pharmacy Installation as data for improvement. The results showed non-value added activities of 22%, value added activities of 74%, necessary non-value added activities of 4%, and process cycle efficiency of 74%. As for non-concoction drugs, non-value added activities are around 39%, value added is 61% and process cycle efficiency is 61%. The data shows that there is a process of non-value added and necessary non value added which causes the waiting time for outpatient pharmacy. Furthermore, using fishbone analysis to determine the cause of the problem and build improvements based on FMEA results. From the research results obtained that waste that often occurs is waiting that occurs in the taking of drugs. The recommended improvements are the addition of human resources in the collection and compounding of drugs, classifying and allocating types of drugs based on the speed of the drug and the implementation of 5S in BPJS outpatient pharmacy.
A condition-based maintenance policy for a system deteriorating with age and usage
Authors: Lubis Debby C , Iskandar Bermawi P 
Published: December 2020

Abstract
The rapid development of sensor and maintenance technologies support the implementation of a Condition-Based Maintenance (CBM) policy. The CBM policy is an effective way for reducing or even eliminating failure of a system and hence it will minimize the maintenance cost and increase the system’s availability and productivity. In this study, we propose a CBM policy with periodic inspection to control the system’s deterioration level. The deterioration is modelled by using a Gamma process with its shape parameter is assumed to be affected by the system’s age and usage. The maintenance action is imperfect in the sense that it restores the level of the deterioration to a fixed level that is not as-good-as-new condition. We use a simulation approach to simulate the deterioration process and the impact of maintenance action to the deterioration level, and to find an optimal inspection interval for a given preventive threshold, which minimizes the total maintenance cost.
Effect of Reaction Time on Biodiesel Production from Palm Fatty Acid Distillate by Using PTSA as a Catalyst
Authors: Burmana A D , Tambun R , Haryanto B , Alexander V 
Published: December 2020

Abstract
This study aims to determine the effect of reaction time on the production of biodiesel (methyl ester) from palm fatty acid distillate (PFAD) by using para-toluene sulphonic acid (PTSA) as a catalyst. The reaction carried out is the esterification reaction which reacts PFAD with methanol to produce methyl esters and water. In this study, the molar ratio of methanol to PFAD is 6:1 and the reaction is carried out at 65 °C. The amount of PTSA catalyst used is 5%, 10%, 15%, and 20% of the amount of fatty acids. Acid value observation is carried out at the reaction time of 60 minutes, 75 minutes, 90 minutes, 105 minutes, and 120 minutes. The results obtained indicate that the optimum conditions for producing biodiesel from PFAD are with a reaction time of 105 minutes and a catalyst amount of 15%. The acid value obtained does not decrease again or the amount of fatty acids converted to methyl esters does not increase again when the reaction time and the amount of catalyst are increased. The lowest acid value at this optimal condition is 13.37 mg KOH/g, and in this condition, 95.84% of the fatty acid is converted to methyl ester.
Dry turning of hard 2379 steel using a ZTA5Ce0.7La ceramic cutting insert: A study
Authors: Hakim Hassan Mohd Nor , Rejab Nik Akmar , Ishak Aulia , Baharuddin Abdullah Ahmad , Arifin Ahmad Zainal 
Published: December 2020

Abstract
The aim of this work is to evaluate the dry turning ability of zirconia toughened alumina reinforced with 5 wt.% CeO2 and 0.7 wt.% La2O3 (ZTA5Ce0.7La) ceramics as cutting insert in turning of 2379 steel with hardness of 43 HRC. Triangular cutting inserts were fabricated using this material composition via powder metallurgy route. Results of the cutting insert were measured based on the average width of flank wear and surface finish of machined workpiece. Results show that the tool was able to machine tool steel and good surface finishes were obtained for most of the cutting speeds used in the machining test, except for the highest cutting speed of 237.5 m/min. The longest life (12.5 minutes) of the cutting inserts according to the measured flank wear for the turning at cutting speed of 87.1 m/min with considerably good surface finish (Ra of 0.778 μm). Therefore, this ZTA5CeO0.7La cutting inserts is possible to be used as a successful dry turning process of 2379 steel.
Fast and accurate robotic optical detection of exfoliated graphene and hexagonal boron nitride by deep neural networks
Authors: Shin Young Jae , Shin Wheemyung , Taniguchi Takashi , Watanabe Kenji , Kim Philip , Bae Sung-Ho 
Published: December 2020

Abstract
Van der Waals (vdW) heterostructure constructed from atomically thin layered materials provides quantum material platforms with emergent physical phenomena and novel device applications. While stacking atomically thin vdW layers in combination with automate machine vision identification and semi-automated stacking have been demonstrated, a combination of machine learning based automatic detection/identification assembly capability is necessary to further advance vdW heterostructure fabrication. Here, we developed a new automatic optical detection technique with a deep neural network (DNN) incorporated into a motorized microscope that automatically scans entire silicon wafers to detect and identify two-dimensional (2D) materials. We demonstrated the automated combination on an optical microscope (OM) with a DNN algorithm that enables identification and classification of graphene with different sizes, shapes and thicknesses. For this purpose, we trained a representative DNN for object detection with approximately 1000 OM images, resulting in high accuracy in detection and classification. We further verified the effectiveness of graphene trained DNN (GT-DNN) in practice, by confirming the yield of flakes depending on exfoliation method. In addition, we also showed the transferability of our method to other 2D materials. Our pre-trained GT-DNN was used to train a detection model for hexagonal boron nitride with only a few samples, resulting in further improvement of the accuracy of DNN-based detection. Our experimental method can effectively be extended to automatic detection and assembly of a plethora of 2D materials.
Effect of heat treatment on microstructure and mechanical properties of low-alloy wear-resistant steel NM450
Authors: Liang Liang , Lixin Yan , Guanghui Li , Yi Cao , Xiangtao Deng , Zhaodong Wang 
Published: December 2020

Abstract
In this study, we investigated the effects of the quenching and tempering temperatures on the microstructure and mechanical properties of low-alloy wear-resistant steel NM450. The quenching temperatures were 870 °C–1200 °C, and held for 36 min. After quenching with 910 °C, the tempering temperatures were 200 °C–600 °C for 60 min. The results showed that as the quenching temperature increasing, the original austenite grain size increased and the proportion of high-angle grain boundaries gradually decreased, which was detrimental to the toughness of the steel. The inter-lamellar-retained austenite remaining in the martensite lath during quenching satisfied the Kurdjumov-Saches relationship with martensite. At the tempering temperatures lower than 250 °C, carbon atoms precipitated in the form of fine carbides, which improved the yield strength of the steel. With the increasing of the tempering temperature, the activity of the carbon atoms increased, the size of the carbides increased, the effects of solid solution strengthening and precipitation strengthening weakened, so the tensile and yield strengths of the steel decreased. The low-alloy wear-resistant steel tempering at 250 °C exhibited the satisfactory combination of properties. The quasi-cleavage fracture occurred mainly over the tempering temperature range of 300 °C–400 °C, and the fracture mechanism turned into ductile fracture when the tempering temperature was higher than 500 °C.
Single-step synthesis of hierarchical flower-like silver structures with assistance of gallic acid
Authors: Mei Linyu , Li Sha , Shao Yunpeng , Zhang Congyun , Wang Junyuan 
Published: December 2020

Abstract
We synthesize hierarchical flower-like silver microspheres with tunable size and shape, using ascorbic acid as reducing agent and gallic acid as structure-directing agent. The chemical nature of the gallic acid plays a vital role in the process of assembling silver particles into Chinese rose hierarchical structures. By changing the amount of gallic acid or silver nitrate solution (AgNO3), it is easy to adjust the anisotropic morphologies of as-synthesized silver structures and promote the preferential growth, resulting in a complete, clear, and stable multi-layered floral silver structure. This single-step wet-chemical synthesis method provides a new synthetic strategy for the anisotropic growth and morphology control of flower-like silver particles.
Structural and electrical properties of La3+ ions substituted MnFe2O4 ferrite nanoparticles synthesized via cost-effective reverse micelles strategy
Authors: Baig Mirza Mahmood , Yousuf Muhammad Asif , Zulfiqar Sonia , Safeer Affan , Agboola Philips O , Shakir Imran , Warsi Muhammad Farooq 
Published: December 2020

Abstract
La3+ ions substituted manganese ferrite (MnFe2-x
La
x
O4) nanoparticles via reverse micelles strategy were synthesized and their structural and electrical properties are discussed in this article. Using low-cost precursors, mono-dispersed, and well crystalline MnFe2-x
La
x
O4 nanoparticles were prepared at low temperature. X-ray diffraction (XRD) explored cubic spinel structure with minute secondary phase as LaFeO3. The crystallite size of MnFe2-x
La
x
O4 was found to increase from 12.82 nm to 15.95 nm with increased La3+ ions contents. The room temperature Fourier transform infrared (FTIR) spectra were recorded in the wavenumber range 1000–400 cm−1 that showed the vibrational bands of octahedral and tetrahedral complexes. These bands are the fingerprints of spinel ferrites. Surface morphology characterized by field emission scanning electron microscopy (FESEM) revealed the relative spherical morphology of prepared spinel ferrite particles. The elemental composition analysis from Energy-dispersive x-ray (EDX) spectroscopy confirmed the presence of expected elements in the samples. The modification in resistivity and the enhancement in the dielectric parameters suggested the possible utilization of these soft ferrite nanoparticles in advanced electronics, especially the devices that are required to operate at high frequencies.
Neutralizing antibodies against SARS-CoV-2: current understanding, challenge and perspective
Authors: Huang Yang , Sun Hui , Yu Hai , Li Shaowei , Zheng Qingbing , Xia Ningshao 
Published: December 2020

Abstract
The rapid emergence of Coronavirus disease-2019 (COVID-19) caused by severe acute respiratory syndrome 2 coronavirus (SARS-CoV-2) as a pandemic that presents an urgent human health crisis. Many SARS-CoV-2 neutralizing antibodies (NAbs) were developed with efficient therapeutic potential. NAbs-based therapeutics against SARS-CoV-2 are being expedited to preclinical and clinical studies with two antibody drugs, LY3819253 (LY-CoV555) and REGN-COV2 (REGN10933 and REGN10987), approved by the US Food and Drug Administration for emergency use authorization for treating COVID-19. In this review, we provide a systemic overview of SARS-CoV-2 specific or cross-reactive NAbs and discuss their structures, functions and neutralization mechanisms. We provide insight into how these NAbs specific recognize the spike protein of SARS-CoV-2 or cross-react to other CoVs. We also summarize the challenges of NAbs therapeutics such as antibody-dependent enhancement and viral escape mutations. Such evidence is urgently needed to the development of antibody therapeutic interventions that are likely required to reduce the global burden of COVID-19.
A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian Randomization or Transcriptome Analysis
Authors: Jiang Lai , Xu Shujing , Mancuso Nicholas , Newcombe Paul J , Conti David V 
Published: December 2020

Abstract
Previous research has demonstrated the usefulness of hierarchical modeling for incorporating a flexible array of prior information in genetic association studies. When this prior information consists of estimates from association analyses of single-nucleotide polymorphisms (SNP)-intermediate or SNP-gene expression, a hierarchical model is equivalent to a 2-stage instrumental or transcriptome-wide association study (TWAS) analysis, respectively. We propose to extend our previous approach for the joint analysis of marginal summary statistics to incorporate prior information via a hierarchical model (hJAM). In this framework, the use of appropriate estimates as prior information yields an analysis similar to Mendelian randomization (MR) and TWAS approaches. hJAM is applicable to multiple correlated SNPs and intermediates to yield conditional estimates for the intermediates on the outcome, thus providing advantages over alternative approaches. We investigated the performance of hJAM in comparison with existing MR and TWAS approaches and demonstrated that hJAM yields an unbiased estimate, maintains correct type-I error, and has increased power across extensive simulations. We applied hJAM to 2 examples: estimating the causal effects of body mass index (GIANT Consortium) and type 2 diabetes (DIAGRAM data set, GERA Cohort, and UK Biobank) on myocardial infarction (UK Biobank) and estimating the causal effects of the expressions of the genes for nuclear casein kinase and cyclin dependent kinase substrate 1 and peptidase M20 domain containing 1 on the risk of prostate cancer (PRACTICAL and GTEx).
Serological Responses to Toxoplasma gondii and Matrix Antigen 1 Predict the Risk of Subsequent Toxoplasmic Encephalitis in People Living With Human Immunodeficiency Virus (HIV)
Authors: Xiao Jianchun , Bhondoekhan Fiona , Seaberg Eric C , Yang Otto , Stosor Valentina , Margolick Joseph B , Yolken Robert H , Viscidi Raphael P 
Published: December 2020

Abstract

Background
Clinically useful predictors for fatal toxoplasmosis are lacking. We investigated the value of serological assays for antibodies to whole Toxoplasma antigens and to peptide antigens of the Toxoplasma cyst matrix antigen 1 (MAG1), for predicting incident toxoplasmic encephalitis (TE) in people living with human immunodeficiency virus (HIV; PLWH).

Methods
We performed a nested case control study, conducted within the Multicenter AIDS Cohort Study (MACS), using serum samples obtained 2 years prior to diagnosis of TE from 28 cases, and 37 HIV disease-matched Toxoplasma seropositive controls at matched time-points. Sera were tested for Toxoplasma antibodies using a commercial assay and for antibodies to MAG1_4.2 and MAG1_5.2 peptides in enzyme-linked immunosorbent assay (ELISA).

Results
Two years prior to clinical diagnosis, 68% of TE cases were MAG1_4.2 seropositive compared with 16% of controls (odds ratio [OR] 25.0, 95% confidence interval [CI] 3.14–199.18). Corresponding results for MAG1_5.2 seropositivity were 36% and 14% (OR 3.6, 95% CI .95–13.42). Higher levels of antibody to MAG1_4.2 (OR 18.5 per doubling of the optical density [OD] value, 95% CI 1.41–242) and to Toxoplasma (OR 2.91 for each OD unit increase, 95% CI 1.48–5.72) were also associated with the risk of TE. When seropositivity was defined as the presence of MAG1 antibody or relatively high levels of Toxoplasma antibody, the sensitivity was 89% and specificity was 68% for subsequent TE.

Conclusions
Antibodies to MAG1 showed predictive value on the occurrence of TE in PLWH, and the predictive performance was further improved by adding the levels of Toxoplasma antibody. These measures could be clinically useful for predicting subsequent diseases in multiple at-risk populations.
A proposed framework for cloud-aware multimodal multimedia big data analysis toward optimal resource allocation
Authors: Sasikala S , Gomathi S , Geetha V , Murali L 
Published: December 2020

Abstract
The main goal of this paper is to demonstrate the structural design of Multimodal Multimedia Services in Cloud Platform (MMSCP). Thus, our proposed MMSCP architecture is built of three levels such as, Service Platform, Execution Platform and Structural platform. The functionality of service platform is to gather different forms of video files generated by the media creators and to store these files on the local platform. The second execution platform integrates both the Hadoop and Mapreduce functionalities. Finally, QoS based cloud computing functionalities (i.e. load balancing, security, resource allocation and network traffic management) is employed at the third structural platform. Likely, we introduced the Crow Search Algorithm (CSA) in structural platform for optimal allocation of resources. We adapt a Hadoop cluster to perform the experiment. Also, to conduct the resource allocation experiment we used some of the conventional optimization algorithms such as, ABC, GA and PSO for comparison with our proposed CSA algorithm imposed on the structural platform. However, to evaluate the performance of the algorithms we configured the CloudAnalyst tool. The simulation results illustrate that the proposed algorithm can allocate the virtual machine (VM) optimally to attain a minimal response time.