bluuebunny/crossref_metadata_2025_split huggingface dataset:
Calculation of call option using trinomial tree method and black-scholes method case study of Microsoft Corporation
Authors: Lilyana D , Subartini B , Riaman  , Supriatna A K 
Published: January 2021

Abstract
Options are one of the most commonly known financial instrument used in financial market. Options are expected to minimize risk or even increase profits in stock trading. Therefore, it is important for options traders to take into account the contract price of options. This study discusses the determination of call option prices using the Trinomial Tree method and the Black-Scholes method with the data of Microsoft Corporation’s stock price and strike price. From the result of the calculations, a conclusion will be drawn from the comparison of the use of the two methods. In conclusion, the call option price using the trinomial tree method is close to the call option price using the Black-Scholes method. Therefore, the Trinomial tree method and the Black-Scholes method is worth using for the base calculation of option pricing.
Comparison of quadratic investment portfolio on five stocks of mining companies with risk free assets and without risk free assets
Authors: Pandiangan N. , Sukono  , Hasbullah E S 
Published: January 2021

Abstract
All types of investment have different risks. One way to avoid risk is to diversify the capital fund into several investment assets. The problem is determining the optimal differential weight for each asset. The purpose of this study is to determine the weight of the investment portfolio with risk free assets and without risk free assets. The method used in this study is a quadratic investment portfolio model. The optimization is done by using the Lagrangian Multiplier method. The assets analyzed used several mining stocks and deposits with an interest rate according to the Indonesian Bank rate. The expected results from this study are to obtain the optimal weight allocated to each asset in ordering an investment portfolio. Based on the results of the optimization, it can be used as a consideration for investors in making investments.
Premium estimation in the fire insurance through semiparametric bootstrap
Authors: Adnan W F , Pasaribu U S , Husniah H. 
Published: January 2021

Abstract
Along with the development of information, science and technology, there is a quite popular developing resampling method, namely bootstrapping. Bootstrap estimates asymptotically against its original value (observation). Thus, the greater bootstrap replication, the resample distribution will be normally distributed. It indicates that the bootstrap estimator gives better results. Based on the goodness-of-fit test by using Kolmogorov-Smirnov test, the severity on fire insurance data follow Weibull 2 parameter distribution. A case study is conducted on reinsurance company’s data for shopping centre’s fire. It is a big data. Since it is a reinsurance company’s data, the data completeness may be inadequate. It causes the severity claim to be processed using semiparametric bootstrap.
Forecasting the tuberculosis morbidity rate in Indonesia using temporal convolutional neural network and exponential smoothing
Authors: Kusuma A A A W , Mardiyati S , Lestari D 
Published: January 2021

Abstract
Tuberculosis (TB) morbidity rate in Indonesia shows the number of population in Indonesia who suffer from TB. The TB morbidity rate can be used by insurance companies to predict a person’s risk of TB so that insurance companies can determine the premiums that will be charged to insurance applicants based on the risks. Thus, the ability to estimate the TB morbidity rate accurately is essential for insurance companies to be able to determine the right premium amount while remaining competitive. This study compared two models that can be used to predict TB morbidity rate in Indonesia. The model was built using the temporal convolutional neural network (TCNN) and exponential smoothing methods. The data analyzed in this study are data obtained from the official website of the Ministry of Health of the Republic of Indonesia. Before the model was built, the data used in this study were compiled into training and validation datasets. The model is built using a training dataset and validated using the validation dataset. The results of the model’s validation are then evaluated and compared based on the value of the mean squared error (MSE). The result of this study shows that the TCNN model provides lower MSE compared to exponential smoothing.
Analysis of Hypothyroidism Development in Post-Radiotherapy Nasopharyngeal Cancer Patients using Survival Trees
Authors: George P M A , Abdullah S , Rachman A 
Published: January 2021

Abstract
Radiotherapy is one of the treatments for nasopharyngeal cancer (NPC). However, this treatment might produce an unfavorable effect on the thyroid gland, which eventually results in less production of thyroid hormone. This is condition is known as hypothyroidism. The development of hypothyroidism in each patient with post-radiative NPC differs according to several factors. This study aims to analyze the rate of development of hypothyroidism in post-radiated NPC patients. This aim is achieved by identifying subgroups of patients with different hazard rates of developing hypothyroidism, and further identify factors explaining hypothyroidism in each subgroup. Data on ninety-seven NPC post-radiation patients taken from one of the hospitals in Jakarta were analyzed. Survival tree with the relative risk tree algorithm was proposed to analyze the data. We identified three subgroups of patients with relatively slow, medium, and fast developing of hypothyroidism. For the slow subgroup, 26% of the patients developed hypothyroidism at 150+ weeks post-radiation, while it only took less than 30 weeks for those in fast-growing subgroup; and 70 until 130 weeks for the medium subgroup. We also found that sweat production and Zulewski’s total score were the important factors in explaining the development rate of hypothyroidism.
Identification of risk factors for impulse-control disorder symptoms in patients with Parkinson’s disease
Authors: Setianingsih D A , Abdullah S 
Published: January 2021

Abstract
Parkinson’s disease (PD) is one of the motoric neurodegenerative disorders that has the fastest-growing prevalence, disability, and death rate compared to other neurological disorders. Globally, from 1990 to 2015, the number of individuals with PD increased by 118%, up to around 6.2 million. There are several motor symptoms and non-motor symptoms that occur in Parkinson’s disease. One of the non-motor symptoms that occur is Impulse-Control Disorder (ICD). In PD, there are 4 main symptoms of ICD that often occur such as pathological gambling, binge-eating, compulsive buying, and compulsive sexual behaviour. ICD is often discovered when the treatment of PD begins, so this research focused on the incidence of ICD as a result of the treatment of PD. The purpose of this study is to identify risk factors for the type and number of ICD symptoms that occur in patients with PD. Both binary and multiclass classification tree methods were implemented to identify risk factors associated with the incidence of ICD for PD patients. Imbalance data problems that arose were handled with Synthetic Minority Over-sampling Technique (SMOTE). The results obtained show that the STAI-Trait total score is a risk factor that always appears for each type of, and the number of type of, ICD symptoms that appear. Moreover, risk factors that only appear in several symptoms are the length of education taken, STAI-State total score, age, duration of PD, SCOPA-AUT total score, MOCA total score, and MDS-UPDRS 3 total score. While, risk factors that only appear for a particular symptom are family history of PD, DAT binding ratio, and dopamine agonist treatment.
The approximation of GSTAR model for discrete cases through INAR model
Authors: Huda N M , Mukhaiyar U , Pasaribu U S 
Published: January 2021

Abstract
Modelling non-negative discrete valued for time series analysis was introduced by previous researchers, that is Integer-Valued Autoregressive (INAR) model. The model involves both the parameter index and state space are discrete. Various phenomena within the scope of discrete cases are not only affected by previous discrete observations, but also affected by the discrete observations at surrounding locations in previous time. As a result, this model involves two parameter indices namely time and space, and also state space which are discrete. In continuous cases, a model has been introduced to overcome this problem, namely Generalized Space Time Autoregressive (GSTAR) model (discrete parameter index and continuous state space). Using this model to solve the discrete case produces a continuous forecast value, so it needs a discretization process. In the time series model for discrete cases, thinning operators have been introduced as a substitute for discretization in a continuous time series. The thinning operator paradigm in the discrete time series will be developed in the space-time model proposed in this paper. This paper will also introduce a new model, namely a space-time model for cases related to discrete cases. This means that the index of time and location parameters, as well as the state space used is a discrete state space. The properties that apply to the model are adopted from the INAR model and the GSTAR model for continuous cases. The main focus of this paper is the development of thinning operators from time series to space-time models. This paper also provides a modeling procedure using the GSTAR model for discrete cases. The result of this paper is the formation of a GSTAR model with a discrete state space.
Influence of biomodified mineral fertilizers on sawing quality of spring barley
Authors: Adaev N L , Krylov V A , Zanilov A Kh , Amaeva A G , Adaev I N 
Published: January 2021

Abstract
Nowadays, the ability to demonstrate the achievement of Russian spring barley selection is significantly limited. The reason for this is the poor use on the fields of agricultural enterprises of the possibility of increasing productivity by improving sowing qualities.
Comparative analysis of species of the genus Rosa L. on the territory of the Eastern European Plain
Authors: Ryabinina Z N , Lyavdanskaya O A , Bastaeva G T , Lebedev S V , Kalyakina R G , Ryabuhina M V 
Published: January 2021

Abstract
The methods of gel electrophoresis with some modification have been developed on the types of rose hips. Identification of a species, as well as determining the degree of its intraspecific polymorphism, includes analysis of individual seeds taken from a random sample of different populations. For identification and analysis of the purity of the composition of the seeds of cultivars, an analysis of at least 100–150 seeds of each cultivar is recommended. Spectra were recorded using a special digital (large-scale) scale, which allows fixing the position (“addresses”) of individual polypeptide components at positions from 1 to 122. Components of low intensity were taken for 1 point, and strong ones (bright) for 2 points. The high sensitivity of the polyacrylamide gel electrophoresis (PAGE) method in the presence of sodium dodecyl sulfate (DS-Na, SDS) and 2-mercaptoethanol to genetic differences at the level of small taxa is clearly manifested in rosehip species. The research results allow us to clarify the taxonomy of the genus Rosa.
Changing of the composition of the rumen microflora to improve the efficiency of feed use by ruminants
Authors: Duskaev G K , Nurzhanov B S , Rysaev A F , Rahmatulin Sh G 
Published: January 2021

Abstract
Ruminant animals use their symbiotic microorganisms in the rumen to hydrolyze plant fibers and generate energy and other nutrients, while the eukaryotic community (fungi) makes up about half of the total microbial biomass and plays a critical role in the effectiveness of use of lignocellulosic particles of feed components. The aim of the study was to develop a way to increase the efficiency of feed use by ruminants through the introduction of a composition of promising substances into the diet. The assessment of biodiversity included the following: sampling, outflow, purification, measurement of DNA concentrations, PCR, validation and normalization of libraries, followed by sequencing on the platform of high-performance sequencer MiSeq Illumina (USA). Introduction of new substances in the diet of cattle contributes to a change in the eukaryotic composition of the rumen microflora towards an increase in Ascomycota and Neocallimastigomycota phylums (when used together with Quercus cortex extract), which have cellulose and ligninolytic properties, more active development of Chytridiomycota (separate use of substances).
Technology for detecting highly productive animals based on elemental status assessment
Authors: Kharlamov A V , Frolov A N , Zavyalov O A 
Published: January 2021

Abstract
The studies were conducted on bull-calves of the Kalmyk breed (n = 100), age 12 months, live weight 326.4 ± 6.4 kg. In the course of the research, we performed a sampling of animal biosubstrates. The article studies a single nucleotide polymorphism of the growth hormone gene (rs135322669). The elemental composition of biosubstrates was determined by 25 indicators, by atomic emission and mass spectrometry (AES-ICP and MS-ICP). It was found that the frequency of occurrence of CC alleles in the sample was 62.0 %, CG – 26.0 and GG – 12.0 %, χ2Эмп=39.924,2 test – 5.99. Evaluation of the elemental status of calf bull revealed significant differences depending on the polymorphism in the bovine growth hormone gene. In bulls with the CC genotype, the exchange pool Ca, K, Na, Co, Cr, Cu, J, Se, B, Si, Li, V was significantly higher compared to the CG genotype; and Ca, K, Na, J, Se, B, Li in comparison with the GG genotype. CC genotypes to GG were characterized by the accumulation of toxic elements: Al, Pb, Hg, Cd. Consequently, under the same ecological conditions of breeding in calf bull with the CC genotype, the detoxification mechanisms are higher, which is reflected in the reduced concentration of toxic elements in the wool. A technology for identifying highly productive animals is proposed based on the selection of bulls by the level of toxic elements in wool, calculated on the basis of the sum of moles: Al, Cd, Hg, Pb, Sn, Sr at 8 months of age, which allows increasing productivity by 9.4-15.6%. It was concluded that there is a need to continue the research with the obligatory safety assessment of the toxic elements of the resulting meat products.
Assessment of the population structure of horses of the Priobskaya breed based on modern technologies
Authors: Zaitcev A M , Gavrilicheva I S , Blohina N V , Khrabrova L A , Kokorina N V 
Published: January 2021

Abstract
Priobskaya horse belongs to the group of northern forest breed and is located in Khanty-Mansi Autonomous Region along Ob River and its tributaries. Among other local horse breeds of Siberia this breed stands out for its endurance and resistance to mosquitoes and other insects. The aim of our work was to study the features of the population structure of Priobskaya horses by 17 distinctive markers: VHL20, HTG4, AHT4, HMS7, HTG6, AHT5, HMS6, ASB23, ASB2, HTG10, HTG7, HMS3, HMS2, ASB17, LEX3, HMS1 and CA425. The results of biotechnological DNA typing of 25 Priobskaya horses by STR loci show that gene pool of the studied population is represented by 121 alleles, typical of local horse breeds. Horses of this breed had a number of rare alleles, including unique variant HMS1R, which was not found in horses of European origin (Van de Goor et al., 2010). The breed had fairly high rates of genetic diversity, the mean number of alleles per loci (MNA) reached 7.12, the effective number of alleles (Ae) – 4.16. The analysis demonstrated good compliance between the observed (Ho=0.741) and the expected (He=0.731) heterozygosity level and the absence of population inbreeding (Fis=-0.017). Analysis of the phylogenetic relations between local horse breeds showed that Priobskaya breed has the highest coefficient of genetic similarity with Tuvinskaya (0.845) and Narymskaya (0.844) horses. Cluster analysis confirmed genetic uniqueness of Priobskaya.
The effect of the new probiotic feed additive rhodofen on blood indicators of gobies during fattening
Authors: Fenchenko N G , Kilmetova I R , Khairullina N I , Sabitov M T , Shamsutdinov D Kh , Aminova A L , Shagaliev F M , Farkhutdinova A R 
Published: January 2021

Abstract
This article is devoted to the study of the effect of the new probiotic feed additive rhodofen, containing live spore-forming microorganisms of the genus Bacillus – Bacillus subtilis and Bacillus licheniformis, on the morphological and biochemical blood parameters of Hereford bulls fed. The introduction of a probiotic feed additive rhodofen into the diet at a dose of 1.5 kg per ton of feed does not lead to pathological and inflammatory processes, and contributes to a more intense metabolism in the body.
Increasing the efficiency of beef production by means of correcting cicatricial digestion with a mineral complex and plant extract
Authors: Makaeva A M , Atlanderova κ N , Sizova E A , Duskaev G K 
Published: January 2021

Abstract
The study presents the results of evaluating the effect of oak bark extract (OBE) and FeCo alloy mineral complex (MC) on digestion processes in the rumen of cattle, in particular, digestibility, hydrogen index and microbiome. The use of FeCo alloy mineral complex with OBE leads to an increase in digestibility of dry matter of the feed by 12.0 % as compared to the control. Changes in the hydrogen ions concentration were in the range of 7.0–8.10 pH. It was revealed during the experiment that both individual and joint introduction of OBE and FeCo mineral complex affects quantitative content of ciliates and bacteria. 6 hours after feeding, the number of ciliates increased with introduction of OBE by 20.4 % relative to the control and protozoa mass with the addition of FeCo mineral complex increased by 111 % (p≤0.01). The data obtained when introducing combination of OBE and FeCo alloy mineral complex indicate an increase in ruminal digestion through the synergistic effect of the mineral complex and FeCo alloy. The studied substances can be used in the industrial production of animal feed.
The effect of silicon-containing substances on the digestibility of feed and energy exchange in the body of poultry
Authors: Mustafina A S , Rakhmatullin S G 
Published: January 2021

Abstract
The article discusses results of studying effects of various doses of ultrafine particles of silicon dioxide (SiO2) on the body of broiler chickens, the dynamics of their live weight, digestibility of nutrients in their diet and the transformation of energy and protein of the feed into the body of an experimental bird. It is established that the use of ultrafine silicon in feeding broilers will increase live weight of the experimental poultry by 3.3–3.5 %, reduce feed intake by 0.7–2.1 %, increase the digestibility of dry matter of growth compound feed by 0.8–1.2 %, raw fat – by 0.2–1.0 %, crude protein – by 0.2–0.5 %, and also increase the net growth energy in MJ per head by 3.5–3.9 %, as a percentage of gross energy – by 8.7–14.3 %, while reducing feed energy loss by 4.0 % and 2.4 %. Therefore, our data reflect the productive effect of highly dispersed silicon oxide on poultry.
Influence of technological manipulations on the parameters of equine semen quality
Authors: Naumenkova V A , Atroshchenko M M , Shirokova O V 
Published: January 2021

Abstract
The aim of the work was to determine the influence of traditional technological manipulation (vaccination of stallions) performed when housing animals, on the quality indicators of spermatozoa. As a result of the experiment, it was discovered that vaccination did not affect the potency of stallions. The time and the number of jumps on the mare were the same before and after vaccination. There were no changes in the number of spermatozoas in the ejaculate in the first and subsequent weeks after vaccination. The study of sperm indicators showed a decrease in mobility (P>0.95) and survival (P>0.99) of freshly obtained and cooled sperm. Control of frozen-thawed sperm showed an even more dramatic decrease in the quality of sperm after vaccination. So in the first two weeks after vaccination, sperm motility after thawing fell by an average of 40 % (P>0.99), survival – by 44–49 % (P>0.99). The number of whole membranes decreased (unreliably) only by the end of the second week after vaccination within 15 %. Changes in the morphological composition of germ cells were observed in the second half of observations as result of influence on spermatogenesis processes. An identical picture was observed after revaccination, carried out 4 months later. A very characteristic drop in sperm motility and survival occurred in the first two weeks after vaccination. By the end of the third week, these indicators began to recover, but before the end of observations (day 55), recovery occurred in the range of 80–92 %, which is important to consider when conducting cryopreservation of sperm.
Change of hematological indices from acclimatization period of cattle of milk direction
Authors: Shishkin V V , Tatarenko I Yu , Shulzhenko E A , Shishkina G Yu 
Published: January 2021

Abstract
The article presents the results of a study of the leukocyte composition dependence of the blood of cows of red-motley breed on their ability to acclimatize. Getting into new climatic conditions, animals undergo profound physiological changes. Acclimatization is one of the stress factors for cows. Determination of the presence of stress in cattle can be determined by establishing the dependence of the leukocyte composition of the blood of cows on their ability to adapt. On this basis, it is possible to carry out productive work to reduce the impact of stress on the animal’s body. In the process of research, hematological parameters were studied in dynamics in two groups of animals in the joint-stock company “Luch” in the Ivanovo district of the Amur region. The control group consisted of local cows of the red-motley breed, which are already adapted to the living conditions. An experimental group is a livestock imported from the Krasnoyarsk Territory. The change in blood leukogram indicators from the degree of acclimatization of cattle of the Red-motley breed was reliably established. The obtained research results confirm the possibility of analyzing the degree of adaptation of animals using a comparative analysis of leukograms of imported and local cattle. The results can be the basis for the development of methods for determining the degree of acclimatization and stress in animals. The technique is necessary for research aimed at developing ways and tools to reduce the effects of stress and combat its negative impact on the animal’s body. Farm specialists, in the presence of a control group not subject to stress, carried out the study under production conditions.