bluuebunny/crossref_metadata_2025_split huggingface dataset:
Potential scattering radiation exposure for radiation workers on eye in the cath lab room
Authors: Arifin Z , Setiawati E , Putri A , Hidayanto E , Heriyani  , Reskianto A D , Rusmanto  
Published: July 2021

Abstract
The scattering radiation of radiation workers especially the eyes on fluoroscopy examination relatively large. Therefore, the potential for receiving radiation exposure for radiation workers needs further evaluation and analysis. This study aims to evaluate the potential of scattering radiation received by radiation workers on the eye. The method was placing the surveyor with a variation of height 150, 160, 170 cm from the floor in a position representing such a doctor (radiation worker) when performing catheter surgery. Irradiation includes 3 modes namely cine, 1-minute, and 4-minutes fluoroscopy. The results of scattering radiation exposure at an altitude of 150 cm at 10-seconds mode cine, 1-minute, and 4-minutes mode fluoroscopy is 6.18-18.96 µSv, 1.10-16.73 µSv, 6.03-15.12 µSv, respectively. The results of scattering radiation exposure at an altitude of 160 cm at 10-seconds mode cine, 1-minute, and 4-minutes mode fluoroscopy is 1.52-69.18 µSv, 2.97-58.49 µSv, 11.23-14.36 µSv, respectively. The results of scattering radiation exposure at an altitude of 170 cm at 10-seconds mode cine, 1-minute, and 4-minutes mode fluoroscopy is 0.91-1.06 µSv, 2.97-58.49 µSv, 7.28-68.14 µSv, respectively. In conclusion, the use of cine mode at 160 cm height from the floor was the best setting for radiation workers (doctors).
Molecular genetics of osteogenesis imperfecta
Authors: Moekti R S , Hanafi M G S , Jazaldi F , Gultom F P , Auerkari E I 
Published: July 2021

Abstract
Osteogenesis imperfecta (OI) or imperfect formation of bone, is a disorder that affects the bone genetically. The range of clinical presentation of osteogenesis imperfecta lies widely from first trimester intrauterine day to later in life. Depends on the clinical features, it’s hard to distinguish OI fractures from other causes of fractures, like genetic, non-genetic, and non-accidental injury. OI is a group of genetically heterogeneous bone-related genetic disorders, characterized, by bone fragility, frequent fractures, deformities of the spine and limbs, with just minimal trauma, this disease is also known as “brittle bone disease”. Many recent studies identified molecular genetic defects underlying Osteogenesis Imperfecta. Osteogenesis imperfecta has a prevalence of 1 in 15-20,000 newborns. Gene signaling events of osteogenesis or collagenases pathobiology will give use another approach for the treatment of Osteogenesis Imperfecta in recent days. Osteogenesis imperfecta is a disorder related to the bone with a broad description of characteristics. Most of the individuals with Osteogenesis Imperfecta are caused by correlating gene mutation in collagenogenesis encoding gene, which is COLIA1 and COL1A2, but in recent years, many other genetic causes have been known as the lead of this disease, such as mutation of such genes, LEPRE, SERPIN, WNT, BMP, IFITM. These genes are known as the correlated gene in the collagenogenesis and the other correlates to bone formation and maturation.
The growth rate of inulinolytic yeast isolates from yum (Pachyrhizus erosus L.) and their inulinase production capability
Authors: Wijanarka  , Rukmi I , Purwantisari S 
Published: July 2021

Abstract
Inulinase (EC. 3.2.1.7) is a hydrolytic enzyme that hydrolyze inulin into fructose. This enzyme was very important in the high fructose syrup industry. Microbes producing inulinase can be isolated from various sources, among others from various types of tuber that contain inulin. The isolation of inulinolytic yeast from yum (Pachyrhizus erosus L.) obtained two potential isolates. Research on the growth rate of the two potential yeast isolates in producing inulinase is necessary to understand the pattern of the yeast growth and its ability to produce inulinase. The parameters observed in this study were specific growth rate (µ), generation time (g) and inulinase activity of two selected yeast isolates B2 and B3. The results showed that the specific growth rate (µ) of B2 isolate was 0.11 hours with generation time (g) 6.12 hours, whereas for B3 isolates the specific growth rate (µ ) was 0.21 hour and generation time 3.29 hours. The inulinase activity from yeast isolates B2 and B3 were 0.294 IU and 0.235 IU, respectively.
The Genetic, Epigenetic, and Environmental Factors of Dental Abnormalities Development: Literature Review
Authors: Hendrik Y C , Langit K S , Auerkari E I 
Published: July 2021

Abstract
Proper anamnesis of clinical practice in giving clear diagnosis is important for specific possible dental care. Disturbance in tooth development by any aetiological factors result in dental anomalies. The variation aetiologies of the dental anomaly are diverse but mainly caused by three main factors which are genetic, epigenetic, and environmental. From genetic mechanisms, where parents or siblings have a specific pattern of tooth, a bigger probability for an individual to have the same tooth pattern with his relatives, included gender differences. Based on epigenetic mechanisms, environmental chemicals, pharmaceuticals, aging, and dietary intake are a few factors that made up a tooth pattern. Repeated signaling molecules which received by protein receptor and induced by transcription factors between epithelial and mesenchyme in tooth development stages are relayed to transcript continued process of tooth development and become tooth anomalies. Orthodontists can be the ones to first diagnose and aware of the etiology and related characteristics with dental anomalies and further can cause malocclusion. An optimal and efficient integrated treatment plan of these anomalies should include the genetic profile of an individual to understand the developmental process and the aetiological factors for specific possible dental care. This paper aims to inform about the genetic, epigenetic, and environmental factors that involve in dental abnormalities development.
Bitemark pathobiology
Authors: Harismanto  , Hanafi M G S , Auerkari E I 
Published: July 2021

Abstract
Forensic odontology is one branch of forensic science that plays a role in the process of individual identification. Cases that often require a review from the perspective of forensic odontology are bitemark cases. Bitemark cases are often found in acts of violence or sexual violence, both to the victim and to the suspect. However, today bitemark analysis often experiences problems due to the many distortions that can occur. For this reason, it is important to know the pathobiology of bitemark in the healing process because by doing this analysis, it can be estimated when the bitemark is carried out, so that it can lead to an adequate identification process. This manuscript is a preliminary text for research on the pathobiology of post-bite tissue carried out.
A Review of campomelic dysplasia syndrome
Authors: Larasati N , Zahra P K , Auerkari E I 
Published: July 2021

Abstract
Campomelic dysplasia (CD) is a rare autosomal dominant genetic disorder and severe skeletal dysplasia. It is characterized by a variable relationship between skeletal and extra-skeletal abnormalities: congenital tightness and long bone arches, pelvic and chest abnormalities, eleven pairs of ribs instead of the usual twelve, facial deformities, cracks and sexual ambiguity. The appearance of pelvic joints, horseshoe inversion, pulmonary hypoplasia, abnormalities of the neck and cervical spine, as well as heart and kidney abnormalities also indicate this syndrome. Other findings of the CD include sexual reversals, in which males have chromosomes, but in some individuals have female genitalia and reproductive systems. The CD is caused by a de novo mutation in the SRY box containing gene 9 (SOX9), which is the main regulator of the development of the cartilage skeleton. It plays an important role in the selection and differentiation of mesenic cells of the chondrocyte lineage of all components of the cartilage skeleton. Most affected individuals have recognizable mutations. It has been reported that heterozigosity involves mutations involving missene, meaningless mutations, deletions in the coding area, and mutations that sometimes interfere with the reorganity of chromosomes in the SOX9 regulatory area. Loss or loss of control over this regulatory area around SOX9 may explain the level of craniophaasial defects described in CD syndrome. We outline the clinical picture, treatment and spectrum of mutations involved in CD syndrome. However, more research is needed to determine the effects of SOX9 on the binding of other genes that function well or are unknown on cartilage.
The challenges of paleolimnology Indonesia
Authors: Soeprobowati T R 
Published: July 2021

Abstract
Paleolimnology had increased sharply as an approach for lake management, but most of the paleontological studies have been carried out in temperate and high-latitude regions. 40% of lakes lie within tropical areas, which represent 32% of surface global water bodies. Paleolimnology is a study of the physical, chemical, and biological features of the lakes in the past. Find the future from the past, prediction of the future condition can be developed from the reconstruction of past condition, based on the fossil preserved in the sediment. Ecosystem services of the lakes are hydroelectricity power, source of drinking water, irrigation, fisheries, tourism, socio-economic religious activities. Those functions have been deteriorated due to sedimentation, pollution, and eutrophication. Water security becomes a problem. Lake sediments as archives that record the climatic and environmental changes in the catchment area. VosViewer had been applied to construct and visualize bibliometric publications indexing by Scopus with the keywords paleolimnology, water resource, renewable energy, climate change, and food security. The result shows that there is a strong relationship between paleolimnology, climate change, and food security. Paleolimnology contributed to SDGs number 6(water security and sanitation) has an important role in the achievement of SDGs number 2 of food security through adaptation and mitigation of climate change (SDGs number 13), and terrestrial ecosystem, including lakes. This paper will discuss a paleolimnological approach to reconstruct past environmental changes and their challenges in Indonesia.
Proposed technical activity on requirement engineering process
Authors: Widodo A P , Kusumaningrum R , Endah S N , Adhi S 
Published: July 2021

Abstract
Requirement Engineering (RE) aims to provide assurance that a software product can meet user needs. The RE phase is a stage that is carried out early in the software development phase of the System Development Life Cycles (SDLC). The main problem in software development is the accuracy of the requirements specifications generated in the RE phase. Problems due to non-conforming specifications can result in software become of poor quality, development time become longer, and development costs become high. To minimize the obstacles that occur, in this article will be given about the techniques carried out in the RE process including elicitation, analysis, documentation, validation, and management. The techniques are given focus more on the implementation of technical activities and artifacts that are used (if any) in each RE process. Artifacts in the RE process can be used as a tool to simplify the verification process and validation of conformity between the requirements specifications produced with the expectations desired by the user. The resulting artifacts are using UML notation which consists of flow modelling using activity diagrams and prototype modelling using use case diagrams. Based on the proposed technical activities, the RE process can improve the quality of the software, the development time is according to the planned schedule, and the development costs according to the budgeted.
Image segmentation of skin cancer using MobileNet as an encoder and linknet as a decoder
Authors: Widiansyah M , Rasyid S , Wisnu P , Wibowo A 
Published: July 2021

Abstract
Cancer causes many deaths in the world. One of the most dangerous types of cancer is skin cancer caused by cancer cells that grow and spread uncontrollably in the skin layers. There are an estimated that 100,000 new cases of skin cancer will occur in the United States, which will cause around 6000 deaths by 2020. The survival rate of people with skin cancer can increase if successfully treated at an early stage. Examination of the lesion or dermoscopy images takes a long time and is prone to errors due to differences of opinion by doctors. A computer program for image processing was developed to improve accuracy and efficiency that helps doctors diagnose and evaluate. The most crucial stage in the diagnosis process is the segmentation of skin lesions. Wrong segmentation results will affect accuracy at the classification stage. This study developed a segmentation model for a skin cancer image that uses the MobileNet model as an encoder block and Linknet model for a decoder block by selecting the best hyper-parameter value from several training scenarios. MobileNet encoder and Linknet as a decoder are known to have the same ability, which is to overcome the problem of computational efficiency without compromising accuracy. Four hyper-parameters used are learning rate, the number of epochs, image size, and using pre-trained or not. Besides, there is a performance comparison scenario between the MobileNetV1 and MobileNetV2 encoder blocks. The model trained using the 2017 ISIC Challenge dataset consisting of 2000 training data, 150 validation data, and 600 test data. The Intersection over Union score obtained was 71.5% from models trained with a hyper-parameter learning rate of 0.001, 50 epochs, with an image size of 256 × 256 × 3, using a pre-trained model, and using a MobileNetV1 encoder block. The mask image that is the result of the segmentation of skin cancer images using the MobileNet encoder model and Linknet decoder is accurate enough to be used in the process at a later stage.
Bounded variation functions and some properties on metric spaces
Authors: Murdianingsih I D , Hariyanto S , Udjiani T , Sumanto Y D 
Published: July 2021

Abstract
Bounded variation functions of a single variable were first introduced by Camille Jordan (1881). Bounded variation functions or 𝐵𝑉 functions is a function with the total variation is finite. The variation in a function aims to measure how much increase and decline occure in the function. In this paper, we generalize this function in the metric space. Let (𝑋, 𝑑) be a complete metric space and 𝛾: 𝑆 → ℝ is a function, where 𝑆 is a closed and bounded subset of 𝑋. The function 𝛾 is of bounded variation on 𝑆 if 𝑉(𝛾, 𝑆) is finite, i.e 𝑉(𝛾, 𝑆) < ∞. The result of this paper is the definition and properties algebraic of bounded variation function on metric spaces. Some properties of this function is multiplication with scalar, sum of two functions, and product of two functions. The function of bounded variation to 𝑆 are also bounded variation to each subspace from 𝑆. If 𝛾 is a bounded variation function on 𝑆 then 𝛾 is bounded on 𝑆. We also consider the related topic it is absolute continuity. If a function 𝛾 is absolutely continuous on 𝑆 then 𝛾 is of bounded variation on 𝑆.
Forecasting model of Covid-19 cases using fuzzy time series using persentage change
Authors: Husain A A , Surarso B , Farikhin  , Irawanto B 
Published: July 2021

Abstract
The pandemic caused by the novel corona virus (covid-19) has affected various aspects of life throughout the world. Indonesia is one of the country with a daily high number of Covid-19-19 spread cases. This study aims to obtain a forecasting model of Covid-19 cases that can be used to predict Covid-19 cases daily and it can increase the readiness of Covid-19 health protocols system. In this study, we get a very good model for Covid-19 forecasting in Indonesia obtained by the fuzzy time series method using frequency density-based partitioning. The universe of this method is the percentage of case changes from day to day. The percentage change as a universe in fuzzy time series forecasting method makes the results of comparison of actual data and predictions increasingly similar. We use data of the Covid 19 cases taken from the Nasional Kompas website during June 2020. Forecast results show very good with MSE value of 457,83 and small AFER value of 0,0425138%.
Analysis of a mathematical model in the spread of tuberculosis epidemic with vaccination and relapse effect
Authors: Ifati A N , Sutimin  , Herdiana R , Utomo R H S , Permatasari A H 
Published: July 2021

Abstract
Tuberculosis (TB) is a contagious disease that still exists in a community. A mathematical model incorporating vaccinated treatment and the effect of relapse of the disease is studied. This research is modified with vaccinated to reduce the rate of transmission and relapse condition in a healing period. The model is analysed to verify the dynamical behaviour of the equilibriums. The nonendemic equilibrium (NE) state is determined by Castillo-Chaves theorem for the stability of global and the endemic equilibrium (EE) state using Lyapunov method. The existence of EE is determined by reproductive number (ℛ0) that derived by next generation matrix. When the ℛ0 less than one, NE state is stable. Then EE is stable if ℛ0 exceed unity. The simulation result is presented to describe the dynamic of TB spread in a long time.
Primitive function of the Dunford integral
Authors: Aziz A , Solikhin  , Sumanto Y D , Heri R S U 
Published: July 2021

Abstract
In this paper, Dunford integrals and their primitive functions are discussed. We discuss its properties related to absolutely continuous, strictly absolutely continuous, bounded variation function, strictly bounded variation function and their generalizations. The result is obtained that for each function which integrated Dunford, then the primitive function is a continuous, absolutely continuous, and bounded variation function. Furthermore, its generalized absolutely continuous and generalized bounded variation function.
Optimal decision under fuzzy uncertainty for order allocation planning with uncertain parameters: single period case
Authors: Widowati W , Sutrisno  , Tjahjana R H 
Published: July 2021

Abstract
Inventory management on manufacturer and retail industries is commonly containing some uncertain parameters like future cost and future demand value where the decision-maker has to execute the optimal decision under these parameter’s uncertainty. While the data is available then these uncertain parameters can be assigned as a random variable and a probabilistic approach can be used to solve. But, if there is no data available for these uncertain parameters, then a fuzzy uncertainty approach can be used to solve this problem that is discussed in this paper. We have developed a mathematical model that can be used to calculate the optimal decision under fuzzy uncertainty where the decision is calculated and executed before the uncertain parameters are revealed. Numerical experiment results show that the problem was solved by using the proposed mathematical model, the optimal decision was achieved i.e. the optimal procurement volume product type and the optimal stored product volume in the inventory.
Mathematical modeling and analysis of COVID-19 transmission dynamics in Central Java Province, Indonesia
Authors: Fitriani U A , Widowati  , Sutimin  , Sasongko P S 
Published: July 2021

Abstract
Covid-19 is currently a pandemic that is considered as the biggest global threat that classified as the human-to-human transmissionable disease. This pandemic has affected practically all world countries. The aim of this paper is to construct a mathematical model for the spread of the Covid-19 outbreak and analyze its stability. The proposed mathematical model is STQIR (Susceptible, Traced, Quarantine, Infectious, Recovered) model. The form of the model is a nonlinear differential system with five variables. The step of the method i.e., compute the variables positifity, boundedness of solutions, and the basic reproduction number that computed using next generation matrix. Then the basic reproduction number will be used for testing the local stability of the disease free equilibrium using Routh Hurwitz criteria to examine its epidemiological relevance. This work also investigate the sensivity of the model with respect to the variation of each one of its parameters and is tested in application to the recent data on Covid-19 outbreak in Central Java Province, Indonesia.
Study of factors caused diabetes mellitus and stroke diseases toward gender
Authors: Sudarno  , Widiharih T 
Published: July 2021

AbstractGender consists of female and male. Diabetes mellitus is a chronic disease characterized by high levels of sugar in the blood. Glucose is controlled by the hormone insulin which is produced by the pancreas. In diabetics, the pancreas is unable to produce insulin according to the body’s needs. Blood sugar tests can be done to find out someone has diabetes. This method by a time blood sugar test and fasting blood sugar test. Stroke is a condition that occurs when the blood supply to the brain is interrupted or reduced due to a blockage (ischemic stroke) or rupture of a blood vessel (hemorrhagic stroke). We can use the proportional hazards regression and the stratified proportional hazards model to determine the factors causing diabetes mellitus and stroke. The significant covariate could be seen as a factor causing disease. Significant covariate also yields hazard ratio. If the event time assumed has loglogistics distribution. Some of the functions discussed in this paper, namely the cumulative distribution function, survival function, hazard rate function, and cumulative hazard function. These functions are useful for prediction tools provided the event time is known. The purpose of this study was to find the factors that cause diabetes mellitus and stroke in the gender strata and making functions of random variables with the logistic distribution. The results obtained from this study are the factors that influence a person at risk of stroke namely the type of stroke, hypertension, systolic blood pressure, diastolic blood pressure, and diabetes mellitus. The factors that affect a person at risk of stroke according to gender are the type of stroke, hypertension, systolic blood pressure. If the sample includes all women who have had a stroke, it is primarily affected by the type of stroke. If the sample consists of all men who have had a stroke, it is concluded that the significant covariates are type of stroke, hypertension, systolic blood pressure, and diabetes mellitus. Men have a higher rate of stroke than women.