bluuebunny/crossref_metadata_2025 huggingface dataset:
Lean thinking to improving access to cancer patients in a Public General Hospital
Authors: Pinto Carlos Frederico , Coelho Stela Maris , Marotta Evelin Araujo , Reis Sheila Vianna , Calado Robisom Damasceno , Silva Messias Borges
Published: November 2019

Unbalanced treatment scheduling and overcrowding is a common problem for cancer centers in Brazil, with huge access restrictions due to system inefficiencies and poor assistance design. The purpose of this report is to show how lean thinking can be applied to healthcare by using lean methods and production leveling. The case study / report presented was adopted in order to describe the approach, techniques and findings of this project, as part of a lean initiative. Lean Value Stream Mapping tools and leveling tools improved unit performance by increasing unit capacity freeing treatment slots by leveling and decrease of waiting time for cancer treatment .The process redesign also eliminated unnecessary movement and overtime.
THE RELATIONSHIP BETWEEN PERCEPTION OF RISK AND FEMALE STUDENTS’ DESIRE IN KEEPING MENSTRUAL HYGIENE AT SDN KAMONING SAMPANG
Authors: Badriyah Nurul Lailatul , Nurmala Ira
Published: November 2019

Maintaining menstrual hygiene is essential to avoid vulvar pruritus, irritation, swelling, vaginal secretions, reproductive tract infections, urinary tract infections, uterine cancer, etc. Sampang is the region with the highest maternal mortality rate in Madura, but recently, maternal mortality rate in Sampang continues to decline. One of the causes of maternal death is due to the lack of reproductive hygiene maintenance during menstruation, so that mothers are at risk of uterine cancer. The present study aimed to analyze the relationship between risk perception and female students’ desire in SDN Kamoning in maintaining menstrual hygiene. It was an observational analytic research using cross sectional research design. This study employed HAPA theory. Health Action Process Approach (HAPA) is a concept approach to change one's behavior by strengthening intention to become action. The variable of risk in HAPA theory can influence individual perception early in the motivation phase. The samples of the study were 32 people, and they were taken by total sampling because the number of samples was very small. Data were collected through questionnaire, and they were analyzed by using spearman correlation. The results showed that there was correlation between perception of risk (p = 0,000) and intention to maintain menstrual hygiene. Relationships obtained were not strong because some respondents did not agree with the statements in the questionnaire. It can be concluded that there is a relationship between risk perception and intention to maintain personal hygiene during menstruation. Although the relationship obtained showed a strong relationship, there were some female students that still had wrong perception about personal hygiene maintenance during menstruation.
Fertilizer Production Planning Optimization Using Particle Swarm Optimization-Genetic Algorithm
Authors: Rahmalia Dinita , Herlambang Teguh , Saputro Thomy Eko
Published: November 2019

Background: The applications of constrained optimization have been developed in many problems. One of them is production planning. Production planning is the important part for controlling the cost spent by the company.Objective: This research identifies about production planning optimization and algorithm to solve it in approaching. Production planning model is linear programming model with constraints : production, worker, and inventory.Methods: In this paper, we use heurisitic Particle Swarm Optimization-Genetic Algorithm (PSOGA) for solving production planning optimization. PSOGA is the algorithm combining Particle Swarm Optimization (PSO) and mutation operator of Genetic Algorithm (GA) to improve optimal solution resulted by PSO. Three simulations using three different mutation probabilies : 0, 0.01 and 0.7 are applied to PSOGA. Futhermore, some mutation probabilities in PSOGA will be simulated and percent of improvement will be computed.Results: From the simulations, PSOGA can improve optimal solution of PSO and the position of improvement is also determined by mutation probability. The small mutation probability gives smaller chance to the particle to explore and form new solution so that the position of improvement of small mutation probability is in middle of iteration. The large mutation probability gives larger chance to the particle to explore and form new solution so that the position of improvement of large mutation probability is in early of iteration.Conclusion: Overall, the simulations show that PSOGA can improve optimal solution resulted by PSO and therefore it can give optimal cost spent by the company for the  planning.Keywords: Constrained Optimization, Genetic Algorithm, Linear Programming, Particle Swarm Optimization, Production Planning
One-Pot Synthesis of Requirements Elicitation for Operational BI (OBI) System: in the Context of the Modern Business Environment
Authors: Sarma A.D.N.
Published: November 2019

Background: Requirement elicitation is the first step for any project. The available BI requirement elicitation approaches are focused more towards: the top pyramid of the management, less focus on the business aspect of an organization, historical in nature, emphasis on data mining and data warehousing aspects, no clear separation between requirements, and lack of proper linkage between the requirements.  The demand of BI shifts towards the operational front for last couple of years. The use of Operational BI is gaining more popularity among industry and business communities because of increased demand of real time BI.  It provides a powerful analysis of both operational and business information in current time for all levels of the users in the organization.Objective: In the modern business environment, the business operates on networks that demands multi-level decision-making capabilities as compared to the traditional business approaches. Operational BI is one of the business information systems that support the modern business environment and provides timely decision-making information to all the users in the organization. The requirement elicitation methodology for Operational BI system is found open for research. A new approach for requirement elicitation for an Operational BI system is presented in this paper, which highly suits to the organizations in the modern business environment.Methods: A top down technique is employed in the proposed requirements methodology that focuses on the business context of an organization. The proposed requirement elicitation approach is highly suited for the organizations that operate in the modern business environment. This approach overcomes several limitations in the existing BI requirement approaches. A case study is presented to support the proposed requirement elicitation approach for OBI system.Conclusion: This approach has several advantages like fast development, clear definition, classification of various types of requirements and proper linkage between the requirements without any loss or missing of gathering requirements. Finally, it is to conclude that the proposed approach acts as a one-pot synthesis of requirements elicitation for Operational BI system.Keywords: Business Context, Business, Intelligence, Business Networks, Protocols, Modern Business, Environment, Operational Business, Intelligence    Requirement,  Elicitation, Requirement, Methodology
Untethering the Queue based on Multi Channel Access (MCA) Technology at Hospital Radiology Section
Authors: Dyatmika Dharma , Sudana Oka , Putri Gusti Agung A.
Published: November 2019

Background: Information technology is developing rapidly over time, but there are many companies do not make use of it to support their operational activities. One example is the queue system in the Radiology Section of Sanglah Hospital, which operates the conventional queue system.Objective: The problem occurs in this queue system is inefficient waiting time because the patients must come early and wait in line in the hospital waiting rooms. Many patients thereafter decide going home first or doing other activities. Another problem is it triggers double costs of transportation. The purpose of this study is to improve patients comfort while waiting in queue by applying untethering the queue. Untethering the queue is a service that allows people to be in a queue even though they are not in the waiting room.Methods: The system applies the FCFS (First Come First Serve) algorithm to manage patients’ queue and integrates this queue system with Telegram and SMS gateway. It makes patients easier to take queue numbers and receive notification of health service time from the Radiology Section of Sanglah Hospital.Result:  As a result of this study is an untethering the queue application which is web-based queue system integrated to Telegram and SMS gateway. The daily queue services in the Radiology Section of Hospital can be improved through this application.Conclusion: Patients can only come to the hospital when the queue numbers obtained nearly the health service time so that it leads to time efficient and comfort while waiting in queue.Keywords:First Come First Serve, Multi Channel Access, SMS, Telegram, Untethering the Queue
Process Discovery of Business Processes Using Temporal Causal Relation
Authors: Effendi Yutika Amelia , Nuzulita Nania
Published: November 2019

Background: Nowadays, enterprise computing manages business processes which has grown up rapidly. This situation triggers the production of a massive event log. One type of event log is double timestamp event log. The double timestamp has a start time and complete time of each activity executed in the business process. It also has a close relationship with temporal causal relation. The temporal causal relation is a pattern of event log that occurs from each activity performed in the process.Objective: In this paper, seven types of temporal causal relation between activities were presented as an extended version of relations used in the double timestamp event log. Since the event log was not always executed sequentially, therefore using temporal causal relation, the event log was divided into several small groups to determine the relations of activities and to mine the business process.Methods: In these experiments, the temporal causal relation based on time interval which were presented in Gantt chart also determined whether each case could be classified as sequential or parallel relations. Then to obtain the business process, each temporal causal relation was combined into one business process based on the timestamp of activity in the event log.Results: The experimental results, which were implemented in two real-life event logs, showed that using temporal causal relation and double timestamp event log could discover business process models.Conclusion: Considering the findings, this study concludes that business process models and their sequential and parallel AND, OR, XOR relations can be discovered by using temporal causal relation and double timestamp event log.Keywords:Business Process, Process Discovery, Process Mining, Temporal Causal Relation, Double Timestamp Event Log
Hybrid Mobile Executive Information (m-EIS) System Using Quasar Framework for Indonesia Financial Service Authority
Authors: Murad Dina Fitria , Widjaya Wirianto , Noviani Dwi Rahmania , Fitriyyah Nur , Saputri Liany Minarni
Published: November 2019

Background: Given the digital transformation in currently emerging digital era in Financial Service Industry; marked by the rise of Fintech; Financial Service Authority (FSA) is challenged to mitigate new type of risks that are introduced by it. As first step, Indonesia FSA seeks for an effective and efficient way to present up-to-date Strategic Information to its Top Executive Leaders to enable informed strategic decision making.Objective: This study aimed to find the solution to provide information strategic information to Indonesia FSA executives at any-time any-where. The researchers hypothesize that mobile Executive Information System could effectively serve the purpose.Methods: The research activities are laid out based on the Unified Process (UP) Methodology and use Unified Modelling Language (UML) diagrams to communicate the design. At the end of the study, a survey-based on TAM2 is conducted to confirm the study result. The survey is tested to measure its validity, reliability and correlation analysis using SPSS.Results: The study produce mobile executive information system (m-EIS) geared with the latest UI technology framework; Quasar; and microservice pattern. The m-EIS is deployed and implemented. The survey result shows the overall users’ acceptance of the implementation.Conclusion: The study recommends the further enhancement of m-EIS and highlights limitation of the current study for which future study could address and improve.Keywords:Executive Information System, Financial Service Authority, Financial Service Industry, Hybrid Mobile Application, Unified Modelling Language, Unified Process
Discovery and Development of Safe-in-Man Broad-Spectrum Antiviral Agents
Authors: Andersen Petter I. , Ianevski Aleksandr , Lysvand Hilde , Vitkauskiene Astra , Oksenych Valentyn , Bjoras Magnar , Telling Kaidi , Lutsar Irja , Dumpis Uga , Irie Yasuhiko , Tenson Tanel , Kantele Anu , Kainov Denis E.
Published: November 2019

Viral diseases are one of the leading causes of morbidity and mortality in the world. Broad-spectrum antiviral agents (BSAAs) are key players in control of human viral diseases. Here, we reviewed the discovery and development process of BSAAs, focusing on compounds with available safety profiles in human. In addition, we summarized the information on approved, investigational and experimental safe-in-man BSAAs in freely accessible database at https://drugvirus.info/. The number of approved BSAAs will be increased as well as their spectrum of indications will be expanded pending the results of further pre-clinical and clinical studies. This will ultimately reinforce the arsenal of available antiviral options and provide better protection of general population from emerging and re-emerging viral diseases.
Comparison among Different Fiber Coatings on the Concrete Shrinkage Test for Distributed Optical Strain Measurements based on Rayleigh Backscattering
Authors: Weisbrich Martin , Holschemacher Klaus , Bier Thomas
Published: November 2019

The fiber optic strain measurement based on Rayleigh scattering has recently become increasingly popular in automotive or mechanical engineering for strain monitoring and in the construction industry in general, especially structural health monitoring. This technology enables the monitoring of strain along the entire fiber length. Several publications have been published, particularly on the applications to the structural component. This article addresses integrating optical fibers of different coatings into the concrete matrix to measure the shrinkage deformations. In this context, three different coating types were investigated regarding their strain transfer. The fibers were integrated into fine-grained concrete prisms, and the shrinkage strain was compared with a precise dial gauge. The analysis shows a high correlation between the reference method and the fiber measurement, especially with the Ormocer coating. The used acrylate coating is also consistent in the middle area of the specimen but requires a certain strain introduction length to indicate the actual strain. The main result of this study is a recommendation for fiber coatings for shrinkage measurement in fine grain concretes using the distributed fiber optic strain measurement. In addition, the advantages and disadvantages of the measurement method are presented.
Risk-based Active Power Redispatch Optimization
Authors: Wawrzyniak Karol , Urresti Padrón Endika , Jaworski Wojciech , Korab Roman
Published: November 2019

Risk-based redispatch optimization is proposed as a methodology to support the Transmission System Operator (TSO) with preventive remedial actions obtained by extending the security constrained unit commitment/economic dispatch with constraints resulting from the risk assessed for the power system. Although being heuristic, the methodology is based on comprehensive dynamic security assessment as time-domain simulations are used, allowing to express the degree of all types of instabilities, e.g., caused by contingencies, in monetary terms. Therefore, the risk is assessed as the expected value of the cost incurred by the TSO. Such approach forms a new pathway to including risk in planning procedures already used by TSOs. Results obtained for the IEEE39 dynamic power system, with costs assigned to load shedding and generator tripping due to single transmission lines short-circuits, are shown as a reference case.
Comparing Milk Microbial Quality and Hygiene between Milk Processed at Home and Milk Processed by Industries in Kicukiro District, Kigali City-Rwanda
Authors: Ugochukwu Onuike Godwin , Niyibizi Jean Baptiste
Published: November 2019

Pasteurized milks are still causing food borne illness. Milk contamination can occur at any stage from its way from cow to our tables. Usually milk is pure and sterile when produced in udder of a healthy cow. Like humans, cow are reservoirs of bacteria which are harmless to humans and some cows can harbour few bacteria that are harmful to humans even though they are not harmful to the cow. Milk can be contaminated during or after milking. Also, cow feeds can be contaminated with mycotoxins such as aflatoxins produced by the fungi, Aspergillus flavus. Four types of aflatoxins are known which are; aflatoxin B1, B2, G1, G2. Cows comsuming feeds contaminated with aflatoxin B1 leads to secretion in the milk of aflatoxin M1 and M2 causing aflatoxicosis. Microbial contamination of milk and dairy products is a universal problem and foodborne infections accounting for 20 million cases annually in the world have been identified as an important public health and economic problem in developed as well as developing nations. The main objective of this study is to determine milk microbial quality in Kicukiro district. The specific objectives are to identify bacteria pathogens in milk collected in Kicukiro district, to compare milk quality among sectors of Kicukiro district, to compare milk processed by industries and home-processed milk. The methodology employed in this research was cross-sectional and experimental as the study began with collection of raw data and went through laboratory analysis from July – August, 2018. The expected results from this study will be beneficial to four groups; one is to me as this research will help me to put into practice what I have been learning throughout my years in the school and help me acquire the basic knowledge practically in the laboratory, two is to the masses as this research when published, will help people know where to buy quality and healthy milk products, three is to the government as this research with aid the government to monitor milk processors and promulgate a law that will seek to restrict person who process commercial milk in unhygienic environment, four is to the researchers as this research will serve as basis and background knowledge in their subsequent researches. The findings showed that 59.56% of the milk fell within Grade I – Grade III (< 200,000 ≤ 2,000,000 cfu/ml) and 40.42 % of the milk samples were not within the acceptable limit of total count quality as per COMESA and EAS, non-lactobacilli and fungi were present in most samples as examined through microscope and no Staphylococcus aureus was present in any sample as examined by catalase and coagulase tests.
Modelling of Metallic Particle Binders for Increased Part Density in Binder Jet Printed Components
Authors: Roberts Joseph , Green Peter , Black Kate , Sutcliffe Christopher
Published: November 2019

Binder jet printed components typically have low overall density in the green state and high shrinkage and deformation after heat treatment. It has previously been demonstrated that, by including nanoparticles of the same material in the binder, these properties can be improved as the nanoparticles can fill the interstices and pore throats between the bed particles. The beneficial effects from using these additive binder particles can be improved by maximising the binder particle size, enabling the space within the powder bed to be filled with a higher packing efficiency. The selection of maximum particle size for a binder requires detailed knowledge of the pores and pore throats between the powder bed particles. In this paper, a raindrop model is developed to determine the critical radius at which binder particles can pass between pores and penetrate the bed. The model is validated against helium pycnometry measurements and binder particle drop tests. It is found that the critical radius can be predicted, with acceptable accuracy, using a linear function of the mean and standard deviation of the particle radii. Percolation theory concepts have been employed in order to generalise the results for powder beds that have different mean particle sizes and size distributions. The results of this work can be employed to inform the selection of particle sizes required for binder formulations, to optimise density and reduce shrinkage in printed binder jet components.
Rethinking the Way of Doing Business: A Reframe of Management Structures for Developing Corporate Sustainability
Authors: Nunhes Thaís Vieira , Bernardo Merce , Oliveira Otávio José
Published: November 2019

Corporate Sustainability (CS) literature has gone through a period of intense development. The moment is favorable to gathering these contributions to consistently advance the state of the art in CS and, also, discuss them to apply in real contexts. The main objective of the paper is to systematize, through a systematic literature review using content analysis of the 30 most cited articles from 2007 to 2017, the guiding pillars of CS management. The systematic search for papers was carried out in Scopus and Web of Science and the initial screening of the papers was assisted by the coding software MAXQDA 2018, through which the authors structured and analyzed their main insights, contributions and conclusions. After getting acquainted with the sample, an in-depth reading of the texts was conducted and 60 CS elements were identified. The elements cited in the relevant literature were grouped into 6 pillars related to Corporate sustainability strategy; Corporate governance; Human resources management; Knowledge and innovation management; Measurement, disclosure and independent assurance; and Management systems and Integrated management systems. The discussion of CS management pillars presented in this study provides understanding to researchers and managers on the main aspects that make up the integration of this construct in the companies, especially from a management point of view.
Structural Analysis, Molecular Modelling and Preliminary Competition Binding Studies of AM-DAN as a NMDA Receptor PCP-Site Fluorescent Ligand
Authors: Ndzibongwana Sethu , Ngobese Samukelo , Sayed Ahmad , Shongwe Ciniso , White-Phillips Simon , Joubert Jacques
Published: November 2019

Excitotoxicity related to the dysfunction of the N-methyl-d-aspartate receptor (NMDAR) has been indicated to play an integral role in the pathophysiology of multiple disease states, including neurodegenerative disorders such as Parkinson’s disease. There is a notable gap in the market for novel NMDAR antagonists, however current methods to analyze potential antagonists rely on indirect measurements of calcium flux and hazardous radioligand binding assays. Recently, a fluorescent NMDAR ligand, N-adamantan-1-yl-dimethylamino-1-naphthalenesulfonic acid, known as AM-DAN was developed by our group. Additional studies on this ligand is necessary to evaluate its potential as a biological tool in NMDAR research. Therefore, this study was aimed at conducting structural analyses, fluorescence experiments, high-accuracy NMDAR molecular modelling and NMDAR phencyclidine (PCP) site competition binding studies using AM-DAN. Results revealed that AM-DAN has appropriate structural properties, significant fluorescent ability in various solvents and is able to bind selectively and compete for the PCP-binding site of the NMDAR. Therefore, AM-DAN holds promise as a novel fluorescent ligand to measure the affinity of prospective drugs binding at the NMDAR PCP-site and may circumvent the use of radioligands.
Gridded Population Survey Sampling: A Review of the Field and Strategic Research Agenda
Authors: Thomson Dana R. , Rhoda Dale A. , Tatem Andrew J. , Castro Marcia C.
Published: November 2019

Objective: In low- and middle-income countries (LMICs), household survey data are a main source of information for planning, evaluation, and decision-making. Standard surveys are based on censuses, however, for many LMICs it has been more than ten years since their last census and they face high urban growth rates. Over the last decade, survey designers have begun to use modelled gridded population estimates as sample frames. We summarize the state of the emerging field of gridded population survey sampling, focussing on LMICs. Methods: We performed a systematic review and identified 23 national and sub-national gridded population-based household surveys implemented across 18 LMICs. Findings: Gridded population surveys used automated and manual approaches to derive clusters from WorldPop and LandScan gridded population estimates. After sampling, many surveys interviewed all households in each cluster or segment, though some sampled households from larger clusters. Tools to select gridded population survey clusters include the GridSample R package, Geo-sampling tool, and GridSample.org. In the field, gridded population surveys generally relied on geographically accurate maps based on satellite imagery or OpenStreetMap, and a tablet or GPS technology for navigation. Conclusions: For gridded population survey sampling to be adopted more widely, several strategic questions need answering regarding cell-level accuracy and uncertainty of gridded population estimates, the methods used to group/split cells into sample frame units, design effects of new sample designs, and feasibility of tools and methods to implement surveys across diverse settings.
Beyond Traditional Covariates in Medical Informatics
Authors: Kartoun Uri
Published: November 2019

Deep behavioral covariates (DBCs) introduced in this perspective form a new class of covariates that have the potential to enhance the performance of predictive models and improve analytics in clinical decision support applications. DBCs can measure how engaged a patient tends to be and how he or she tends to respond to events, and they may be highly predictive of the patient’s outcomes for a planned treatment. DBCs may potentially serve as a standard to measure patient engagement and activation and may form highly efficient mechanisms for improving patient outcomes.
Multidimensional Structural Characterization is Required to Detect and Differentiate Among Moderate Disturbance Agents
Authors: Atkins Jeff W. , Bond-Lamberty Ben , Fahey Robert T. , Hardiman Brady S. , Haber Lisa , Stuart-Haëntjens Ellen , LaRue Elizabeth , McNeil Brenden , Orwig David A. , Stovall Atticus E. S. , Tallant Jason , Walter Jonathan A. , Gough Christopher M.
Published: November 2019

The study of vegetation community and structural change has been central to ecology for over a century, yet how disturbances reshape the physical structure of forest canopies remains relatively unknown. Moderate severity disturbance including fire, ice storms, insect and pathogen outbreaks, affects different canopy strata and plant species, which may give rise to variable structural outcomes and ecological consequences. Terrestrial lidar (light detection and ranging) offers an unprecedented view of the interior arrangement and distribution of canopy elements, permitting the derivation of multidimensional measures of canopy structure that describe several canopy structural traits with known linkages to ecosystem functioning. We used lidar-derived canopy structural measured within a machine learning framework to detect and differentiate among various disturbance agents, including moderate severity fire, ice storm damage, age-related senescence, hemlock woolly adelgid, beech bark disease, and chronic acidification. We found that disturbance agents such as fire and ice storms primarily affected the amount and position of vegetation within canopies, while acidification, pathogen and insect infestation, and senescence altered canopy arrangement and complexity. Only two of the six disturbance agents significantly reduced leaf area, indicating that this commonly quantified canopy feature is insufficient to characterize many moderate severity disturbances. Rather, measures of canopy structure, including those that describe multidimensional change, are needed to characterize disturbance at moderate severities because structural changes from these events are spatially and quantitatively variable. Our findings suggest that standard disturbance detection methods, such as optical based remote sensing platforms, may currently be limited in their ability to detect, differentiate, and characterize disturbance. Further, we conclude that a more broadly inclusive definition of ecological disturbance that incorporates multiple aspects of canopy structure change will improve the modeling, detection, and prediction of functional implications of moderate severity disturbance.
The Dorsal Column Nuclei Neuroanatomy Reveals A Complex Sensorimotor Integration and Distribution Hub
Authors: Loutit Alastair J. , Vickery Richard M. , Potas Jason R.
Published: November 2019

The dorsal column nuclei (DCN) are organised by both somatotopy and modality, and have a diverse range of afferent inputs and projection targets. The functional organisation and connectivity of the DCN implicate them in a variety of sensorimotor functions, beyond their commonly accepted role in processing and transmitting somatosensory information to the thalamus, yet this is largely underappreciated in the literature. In this review, we examine the morphology, organisation, and connectivity of the DCN and their associated nuclei, to improve understanding of their sensorimotor functions. First, we briefly discuss the receptors, afferent fibres, and pathways involved in conveying tactile and proprioceptive information to the DCN. Next, we review the modality and somatotopic arrangements of the constituents of the dorsal column nuclei complex (DCN-complex), which includes the gracile, cuneate, external cuneate, X, and Z nuclei, and Bischoff’s nucleus. Finally, we examine and discuss the functional implications of the myriad of DCN-complex projection targets throughout the midbrain, and hindbrain, in addition to their modulatory inputs from the cortex. The organisation and connectivity of the DCN-complex suggest that these nuclei should be considered a complex integration and distribution hub for sensorimotor information.
Systematic Review of Research in Second Language Acquisition: A Snapshot of the Past Ten Years (2009 – September 2019)
Authors: Karami Amirreza
Published: November 2019

The purpose of this systematic review is to provide second language acquisition (SLA) researchers with an overview of research trends in this field in the last ten years (2009-2019). In doing so, three international peer-reviewed journals, Studies in Second Language Acquisition, Language Teaching Research, and The Modern Language Journal, were selected. 150 articles were systematically selected and analyzed. The analysis of data resulted in identifying six descriptive themes. Results showed that some areas of second language acquisition still need further exploration while some areas are of great interest for researchers. Some suggestions for future research as well as implications of the study were discussed in detail.
PEMANFAATAN PISANG KEPOK (MUSAPARADISIACA FORMATYPICA) DAN TERUNG BELANDA (SOLANUM BETACEUM CAV.) PADA PEMBUATAN FRUIT LEATHER
Authors: Tahir Mulyati M. , Tawali Abu Bakar , Andriana Ferty Desy
Published: November 2019

Kepok banana (Musaparadisiaca formatypica) is one fruit that contains enough digestive fiber for the body. Kepok banana (Musaparadisiaca formatypica) is usually processed by  frying or steaming, bananas have a short shelf life and easily damaged. Therefore, to extend the shelf life of bananas, fruit will be processed into fruit leather products. However, because the color of bananas are less attractive, the color addition will make the product preferred by consumers. Terung belanda (Solanum betaceum cav. has a bright color and has enough fiber content so well processed into fruit leather. The objective of this research was to find the best treatment combination between kepok banana (Musaparadisiaca formatypica) and terung belanda (Solanum betaceum cav.) sugar concentration to produce a good physical and chemical properties and favored by consumers. The research was also to find out the effect of sugar concentration addition to physical, chemical and organoleptic fruit leather banana and terung belanda (Solanum betaceum cav.). Treatment applied was A1: kepok banana (Musaparadisiaca formatypica) mashed 50%: terung belanda ((Solanum betaceum cav) mashed 45%: sugar 5%; A2: 45%: 40%: 15%; A3: 40%: 35%: 25%. Fruit leather is then tested organoleptically including color, flavor, taste and texture and was chemically tested including moisture content, total acid, pH, anthocyanin and fiber. The result of the research shows that A1 treatment: 50% banana porridge: terung belanda porridge 45%: 5% sugar produces the best fruit leather product in terms of water content, total acid, pH, anthocyanin, fiber, aroma, taste, and texture.
PENGARUH FERMENTASI MENGGUNAKAN BAKTERI ASAM LAKTAT YOGHURT TERHADAP CITARASA KOPI ROBUSTA (COFFEA ROBUSTA)
Authors: Tawali Abu Bakar , Abdullah Nurlailah , Wiranata Benny Suhardi
Published: November 2019

Coffee plants ( coffea sp ) is one type of biodiversity in Indonesia.Coffee is one of the most popular drink in the world.The high caffeine content in coffee has bad effect for health.One kind of coffee used in this research was Robusta, because caffeine content in robusta coffee is higher than arabica coffee, otherwise the type of arabica contain more sugar and volatile oil.To improve the quality of coffee then one of the process that need attention is on the process in the past harvest.One technology in the post harvested to fix tastes coffee is by fermentation using lactic acid bacteria ( BAL ).This research aimed to produce coffee with the caffeine levels lower by fermentation using BAL on yoghurt. Parameter this research include caffeine level, ph level, the water level, the ashes level and testing the like parameter of organolepticflavor, aroma, and colour of the coffee. The best experiment resulting from research coffee fermented with isolate yogurt for 48 hours, it had caffeine content of 1,09 % ,Ph of 4.73, water contentof 2.34, ashes content of 3.16, flavor parameter scored of 3.08, aroma parameter scored of 3, and color parameter scored of 2.09.
PENGARUH PEMANASAN BERULANG (TYNDALISASI) SAUS SPAGHETTI IKAN TUNA TERHADAP DAYA TERIMA DAN PENDUGAAN UMUR SIMPAN DENGAN METODE AKSELERASI MODEL PERSAMAAN ARRHENIUS
Authors: Bilang Maryati , Dirpan Andi , Sakinah Nur
Published: November 2019

Spaghetti sauce of tuna is a processed product of tomato (Lycopersicum esculentum) with the addition of tuna and added some seasoning. It has a typical taste and as a complement to eat spaghetti. This research was divided into two stages, the preliminary research stage aimed to find out the best treatment of tuna spaghetti sauce which was treated with recurrent heating 1 to 3 times of heating wherein interval 24 hours for each time of heating, with the criteria was organoleptic test results (color, flavor, and flavour) and total microbes. From the preliminary research results obtained the best spaghetti sauce treatment has A2 treatment with 2 times heating. The main research in this study aimed to determine the shelf life of the best sample by using the Arrhenius model acceleration method. The product has stored in 3 different temperatures at 31oC, 38oC and 45oC. Analyzes and parameters used were pH measurement, total microbes, total titrated acids, color and organoleptic brightness levels that include aroma and taste. The result of microbial analysis was TPC as the key parameter, the shelf life of tuna spaghetti sauce was 78 days or 2.6 months while from physical analysis (organoleptic) that has the flavor as the key parameter, the age of tuna spaghetti sauce was 267 days or 8.9 months.
KARAKTERISTIK DAN MUTU BERAS LOKAL KABUPATEN BULUNGAN KALIMANTAN UTARA
Authors: Pangerang Fitrah Pangerang , Rusyanti Nila
Published: November 2019

The quality of rice determines rice prices and consumer tastes. This study aims to identify the characteristics and quality of local rice based on SNI 01-6128-2015 standards. This research was conducted by exploration method. The amount of rice taken is 1 kg. Each local rice is observed for its physical properties and quality. Physical properties include white degree, clarity, shape and size of rice while the quality of rice is adjusted to the standard quality SNI 01-6128-2015. The results show that the physical properties of local rice have white degrees which vary between 58.8 - 54.6%. Where the type of krayan rice and rice taro shows the highest white degree. The value of clarity of local rice shows in the range of 1.70 - 2.57%. The level of rice clarity affects the level of consumer preference. The size of local rice has a long and medium sized category. Long-term rice is Puy, Ikang, Angga and Red rice which are cultivated with traditional lowland rice farming systems with a length (6.5-7) mm. While medium-sized rice is the type of krayan rice and taro rice which are cultivated organically with traditional rice farming systems by the people of the highlands with a length (5.5-5.6) mm. The form of local rice has the form of lean rice (2.8-3.5) and the form of medium rice (2.2-2.8). Ikang rice, Angga and krayan have a slim shape while Puih, Keladi and Merah have medium forms. Judging from the rice quality requirements of the SNI standard (2015), it can be seen that the local rice in Bulungan meets the requirements for quality standards for rice III, IV and V. Ikang and Krayan rice meets III quality. Puy, Angga and Keladi rice meets the quality of rice IV. While brown rice fulfills the quality of rice V. This shows that the local rice in Bulungan definitely needs better postharvest handling to improve the quality of rice so that the rice produced is able to compete in the market. Conclusion Bulungan local rice has characteristics with the size and shape of lean and medium rice with a relatively low quality
A Primer on Clinically Important Outcome Values
Authors: Cepeda Nicholas A. , Polascik Breanna A. , Ling Daphne I.
Published: November 2019

➤ Clinically important outcome values allow physicians to provide patients with more realistic expectations regarding their treatment that are based on their specific demographics.

➤ Clinically important outcome values can vary for the same procedure or population depending on the method of calculation used, which raises the need for uniform ways to calculate and compare these values across populations and procedures.

➤ A shift in approach from focusing solely on significant outcomes, or p values, to considering both clinically important and significant outcomes will allow clinicians to provide more efficient care, in line with recent trends toward a value-based health-care system.
A New Design of Low Salinity-CO2-Different Chemical Matters
Authors: Al-Saedi Hasan N. , Al-Jaberi Soura K. , Flori Ralph E. , Al-Bazzaz Waleed , Long Yifu
Published: November 2019

In this study, we proposed a new EOR method by combining low salinity (LS) water, alkaline, Surfactant, and CO2. Generally, injecting CO2 into oil reservoirs is a fruitful EOR technique that improves oil recovery, but injecting CO2 accompanied with technical in situ problems such as early breakthrough, viscous fingering, and gravity override. This prompted to find a solution to improve the gas sweep efficiency to prevent the mentioned problems from happening. Water was proposed to be alternated with CO2 for this purpose, and the outcome was promising. LS water was used instead of the regular water, which resulted in higher oil recoveries than the regular water. We proposed to inject surfactant-CO2 and LS water with foam which provided the most top results (28.35% OOIP). In this work, we presented a new method to inject Alkaline-Surfactant-CO2-LS water successively. The tertiary oil recovery can reach ~34% of the OOIP for all the cores in this study. The new process can improve the sweep efficiency as well as increasing oil recovery up to 20.1% OOIP. The oil recovery due to this new method is higher than mixing alkaline and foam together by a factor of 2 and more than this factor for WAG and CO2 injection. Coupling LS water with alkaline, Surfactant, and CO2 is a novel idea which takes advantage of the relative strengths of all processes and prevents the precipitation that could affect the performance of alkaline-foam EOR process. We proposed a new procedure to avoid this surfactant precipitation by injecting an LS water slug in between alkaline and foam flooding.
Compressor Package: Failure Analysis & Reliability Enhancement
Authors: Khalaf Adel , Barsoum Imad , Kobbia Ibrahim , Toubar Ashraf
Published: November 2019

Instrument Air (IA) compression system is a critical utility system that is responsible to deliver filtered and dry air to various process stations within the plant. The compressed air is used to manipulate valves that are crucial for plant control and emergency shutdown systems. Inadequate operation of the IA compression package leads to reduced system availability, which introduces safety hazard and leads to serious operational interruption. This paper analyzes a case study of frequent system tripping due to hot air recirculation phenomenon (HAR), using actual field measurements and computational fluid dynamics (CFD) simulations, to propose solutions for maximized system reliability.

This research work presents a case study of HAR at oil and gas offshore plant that reduced the performance of an air-cooled IA compression package. This in turn caused the system to experience repeated and frequent trips due to increased temperature within the package. Therefore, the need for exhaust hot air dispersion analysis of discharged air from air-cooled heat exchangers is becoming of great importance. A detailed three-dimensional CFD model, that represents different installation arrangements of the compressor unit area, was built to simulate the HAR and its influence on the overall performance of the compressor unit. Actual site measurements were collected, analyzed and compared to CFD predictions. The effect of wind speed and direction with relative to the compressor package installation location on the platform was analyzed and discussed. Recommendations and mitigation measures to avoid frequent system outings and exhaust HAR are provided based on CFD outcomes.

The results of the analysis showed that HAR was the main reason of the frequent system tripping which is directly associated with the installation location of the compressor package. The CFD predictions calculated the flow and temperature distribution in the compressor area, and results were compared with actual site measurements, taking the site weather conditions, wind speed and direction into account. Excellent agreement between CFD results and field measurements was observed. In order to prevent system break-offs from happening, a short-term mitigation of installing a ventilation blower inside the package while introducing additional suction louvers in the enclosure was made to enhance heat transfer. Moreover, a long-term solution to install exhaust ducting to route the exhaust hot air away from the air-cooler intake of the compression package is proposed. Both mitigation measures were implemented and the frequent tripping was eliminated.

The influence of HAR on air-cooled compression packages is not well recognized in oil and gas industry. This study utilizes in-depth engineering analysis techniques to enhance the air compression system reliability using advanced engineering simulations.
Predicting Horizontal Shear Slowness- A Machine Learning Approach
Authors: Hussain Syed Aaquib , Chatterjee Chandreyi , Sarkar Sujit Kumar , Reyes Allan , Majumdar Chandan , Das Ritwika
Published: November 2019

The Spraberry trend area is part of a larger oil-producing region within the Midland basin in United States. The main targets, Spraberry, Dean and Wolfcamp, are reservoirs of shales interbedded with clastic formations. Thus, the reservoirs exhibit TIV (transverse isotropy vertical) anisotropy due to thin laminations. A pilot well was drilled vertically in the complex lithology and logged with the advanced acoustics measurements. Shallow penetration of Stoneley energy into the formation raised concerns about the depth resolution of the inverted shear slowness derived from it. It is very difficult to get a reliable horizontal shear slowness from Stoneley when the borehole condition is rugose, there is a complex mud rheology and gas influx inside the borehole.

A machine learning based approach integrating the advanced acoustics measurements and petrophysical interpretation is adopted to provide the solution to get the lithology-based horizontal shear slowness. To eliminate the variability of getting the horizontal shear slowness from Stoneley wave, to process for an advanced geomechanics product like for TIV anisotropy analysis, two machine learning algorithms are used. First one is a very commonly used linear supervised learning algorithm multi-linear regression (MLR) and second is random forest (RF) a nonlinear supervised learning algorithm. These algorithms take inputs from formation evaluation and advanced acoustics to predict the horizontal shear slowness. The random forest algorithm being an ensemble learning method have greater predictive capabilities compared with any linear supervised learning models and many of the non-linear supervised learning algorithms. The inputs for RF and MLR regressions are values of dry weight fractions of calcite, dolomite, quartz, illite, total porosity, permeability, gamma ray, compressional slowness and fast shear slowness. These values are obtained for the entire depth of interest from advance logging tools and interpretation techniques. To check the performance of the model, standard machine learning techniques such as the error evaluation metrics of the mean squared error and the coefficient of determination (R-squared or R2) were considered. The model has been trained over 90% of data and 10% of the data was used to cross-validate the model.

Hyperparameter tuning of the RF model has been done to improve upon the prediction accuracy. After the parameters are tuned, the mean squared error and R2 value of the training dataset are 1.77 and 0.98; while that for the testing dataset, they are 13.26 and 0.89 respectively. The closeness of the R2 value for both the training and testing dataset to 1, implies that the RF model is successfully able to explain the variance of the given data.