Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis and Designing Enterprise Architecture of PT. Adigas Jaya Pratama on Sales and Service Function Using TOGAF Framework

PT. Adigas Jaya Pratama is a company that distributes various products of Pertamina, which focus on delivering LPG (Liquefied Petroleum Gas) to the distributors. There are still various problems occurred in term of service level agreement (SLA), which in many case merely based on promise, while at the same time there are also the incapability of monitoring and checking for updating items in the inventory and the storages. Meanwhile, the process of handling customer complaints often causes the decreasing in the level of satisfaction and loyalty to the services provided. To overcome these problems, the solution made must take explicit concern to the harmony between business and information technology aspects. It is necessary to design an enterprise architecture (EA) with the TOGAF framework to provide a suitable blueprint for the development of sales and service function that can present respective ability for the company to have well performance leading to the growth and profit. This research provide the respective artefacts from every design stage including preliminary phase to the migration planning, which is expected to be applied in accordance with the business needs of the company to provide solutions for the existing problems.
P‐1.5: High‐Voltage characteristics of Top‐Gate Amorphous InGaZnO Thin‐Film Transistors

In this paper, we investigated high‐voltage characteristics of topgate amorphous InGaZnO thin‐film transistors. Results indicate that the saturation current decreases at high drain bias. Moreover, the threshold voltage (Vth) positive shift after device biased at the high drain voltage and the shift magnitude become larger at shorter channel length devices. These observations are attributed to the fact that hot electrons were produced due to the strong drain to source electric field and trapped in the gate insulator. The device performance was recovered after 1000‐s negative gate bias at 60 °C.
Chemical Composition and Assessment of Antimicrobial, Antioxidant and Antiproliferative Activities of Essential oil from Clinopodium sericeum, a Peruvian Medicinal Plant

Clinopodium sericeum is widely used in Peruvian folk medicine in the form of infusion to treat stomach distress, indigestion and antiflu. In this study, the essential oil from C. sericeum was obtained by hydrodistillation, analyzed by GC and GC/MS, and 73 compounds were identified. Major components of the oil were -germacrene-D (15%), -caryophyllene (13.8%), and sabinene (11.2%). Furthermore, we assessed the in vitro biological activities displayed by the oil obtained from the aerial parts of C. sericeum, namely the antioxidant, antimicrobial and antiproliferative activities. The antioxidant activities of the essential oil were evaluated by FRAP, CUPRAC, ABTS and DPPH radical scavenging activity. The essential oil displays antibacterial activity against Gram-negative and Gram-positive bacterial strains (MIC 50-200 μg/mL) in a dose-range close to standard antibiotics. Such activity may be related to the presence of terpene compounds. The antiproliferative activity of the essential oil was measured in vitro using the MTT colorimetric assay in healthy non-tumorigenic cells (HEK-293) and in three human cancer cell lines (T24, DU-145, and MCF-7). The calculated IC50 values were around 0.2 mg/mL. Since the essential oil was almost devoid of antioxidant activity, its anti-proliferative action is unlikely related to oxidative stress and relies on other unknown mechanisms.
Selection of Replacement Heifers in the Breeding Process for Disease Resistance

The aim of the research was to develop criteria for the selection of replacement heifers in the breeding process for disease resistance. The development was carried out on the basis of research results for 5 years (2015 - 2019) on a herd of Holsteinized black-and-white cattle of the agricultural production co-operative “Beregovoy” breeding farm. The research was carried out in stages. At the first stage, it was established that the selection of heifers should be carried out taking into account characteristics of breeding bulls, assessed by the quality of the offspring as improvers, with a high genetic potential, resistant to diseases, from mothers with a duration of productive use of more than 3 lactations and belonging to a family with a milk production of offspring of at least 6000 kg for 305 days of lactation. At the second stage, it was revealed that when selecting replacement heifers, it is necessary to take into account the duration of embryonic development, which should be at least 270 days. The optimal parameters for the development of heifers for creating breeding herds should be on average: at birth at least 36 kg, at 1 month - 69 kg, at 3 - 117 kg, at 6 - 178 kg, at 10 - 302 kg, at 12 - 360 kg and at 15 months - 437 kg; insemination of heifers should be carried out at 15-16 months when the live weight is at least 418 kg. To be selected for the selection base of the herd, replacement heifers must have a strong constitution, a pronounced dairy type, be without physical defects and defects of the exterior, have a strong constitution and resistant to diseases. Based on the results, selection criteria have been developed that make it possible to obtain replacement heifers with a high growth rate, capable of reaching fruitful insemination period at live weight by 10.2 times more than their birth weight, while maintaining good health and high rates of natural resistance.
Influences of hydrogen ion irradiation on NcVsi − formation in 4H-silicon carbide

Nitrogen-vacancy (NCVSi −) center in 4H-SiC is spin defect with near-infrared luminescence at room temperature and a promising candidate for quantum technologies. This paper reports on NCVSi − center formation in N-doped 4H-SiCs by hydrogen ion irradiation and subsequent thermal annealing. It is revealed photoluminescence for NCVSi − centers suddenly appears above the fluence of 5.0 × 1015 cm−2 when annealed at 1000 °C. Appearance of a threshold fluence for their formation and/or activation has not been observed for other energetic particle irradiations. The possible mechanism is discussed based on the kinetics of hydrogen-related complexes and the majority carrier depletion caused by irradiation induced damage.
Environmental and Economic Optimization of a Conventional Concrete Building Foundation: Selecting the Best of 28 Alternatives by Applying the Pareto Front

This research optimizes the environmental impact of a conventional building foundation in Northern Europe while considering the economic cost. The foundation is composed of piles and ground beams. Calculations are performed following relevant building Eurocodes and using life cycle assessment methodology. Concrete and steel accounted for the majority of the environmental impact of foundation alternatives; in particular, steel on piles has a significant influence. Selecting small sections of precast piles or low-reinforcement vibro-piles instead of continuous-flight auger piles can reduce the environmental impacts and economic costs of a foundation by 55% and 40%, respectively. However, using precast beams rather than building them on site can increase the global warming potential (GWP) by up to 10%. Increasing the concrete strength in vibro-piles can reduce the eco-costs, ReCiPe indicator, and cumulated energy demand (CED) by up to 30%; the GWP by 25%; and the economic costs by up to 15%. Designing three piles instead of four piles per beam reduces the eco-costs and ReCiPe by 20–30%, the GWP by 15–20%, the CED by 15–25%, and the costs by 12%. A Pareto analysis was used to select the best foundation alternatives in terms of the combination of costs and eco-burdens, which are those with vibro-piles with higher concrete strengths (low reinforcement), cast in situ or prefabricated beams and four piles per beam.
Fully Hydrogenated and Fluorinated Bigraphenes–Diamanes: Theoretical and Experimental Studies

Diamanes are 2D diamond-like films that are nanometers in thickness. Diamanes can exist as bilayer or multilayer graphene with various modes of stacking and interlayer covalent sp3 bonds. The term “diamane” is used broadly for a variety of diamond-like materials at the nanoscale, from individual diamond clusters to nanocrystal films. A short overview of recent progress in the investigation of diamanes, starting from the first theoretical predictions to practical realization, is presented. The results of both theoretical and experimental studies on diamanes with various atomic structures and types of functionalization are considered. It is shown that diamanes are stronger than graphene and graphane and have wide bandgaps ranging from 3.1 to 4.5 eV depending on the structure. Diamane-like structures have been obtained using different experimental techniques, and their structures have been determined by Raman spectroscopy. The potential applications of these carbon nanostructures are briefly reviewed.
Survival Analysis of Cancer Patients at Teaching Hospitals in Ethiopia

Survival analysis today is widely implemented in the fields of medical and biological sciences. The basic principle behind the survival analysis implies to a statistical approach designed to take into account the amount of time utilized for a study period, or the study of time between entry into observation and a subsequent event. The event of interest pertains to death and the analysis consists of following the subject until death. This study aims to analysis the survival status of cancer patients, to identify the main cancer in women at study area and to determine the survival time of women with cancer after undergoing certain treatments in the selected teaching hospital(s). A random sample of 460 cancer patients was selected using purposive sampling from the study area, in 2016 to 2018. Parametric and non-parametric models, Logistic regression models, Statistical distributions and tests methods of data analysis were used in this study. The demographic information: age, educational level, treatments, economic level, marital status and stages of cancer were included and Comparisons were made among major cancers in patients. The findings of the study suggest that among major types of cancer in patients, breast cancer was the highly affecting the females in the study area. There are 62.15 % survival and 37.35 % of not survived patients in the data and the majority of patients (about 88 %) are diagnosed when they are in stages 1 and 2 and very few (about 8 %) of them are diagnosed in advanced stage of cancer. It also reveals that the average tumor sizes are significantly different for all ages and stages. By Original Research Article Fufa; JPRI, 32(45): 53-63, 2020; Article no.JPRI. 64688 54 grouping ages into groups of 5, I also stratified the number of patients diagnosed with cancer in different stages and the diagnoses at different stages were different. Finally, Results of survival time shows that the surviving of cancer patient were different at different ages and treatments level.
An Optimized Approach for Intra-Class Fruit Classification Using Deep Convolutional Neural Network

Fruits classification is one of the influential applications of computer vision. Traditional classification models are trained by considering various features such as color, shape, texture, etc. These features are common for different varieties of the same fruit. Therefore, a new set of features is required to classify the fruits belonging to the same class. In this paper, we have proposed an optimized method to classify intra-class fruits using deep convolutional layers. The proposed architecture is capable of solving the challenges of a commercial tray-based system in the supermarket. As the research in intra-class classification is still in its infancy, there are challenges that have not been tackled. So, the proposed method is specifically designed to overcome the challenges related to intra-class fruits classification. The proposed method showcases an impressive performance for intra-class classification, which is achieved using a few parameters than the existing methods. The proposed model consists of Inception block, Residual connections and various other layers in very precise order. To validate its performance, the proposed method is compared with state-of-the-art models and performs best in terms of accuracy, loss, parameters, and depth.
Crystallographic Structure of Human yThrombin

of another autolysis product, p-thrombin (first two cleavages onl~). ~ The final structure has an R-factor of 0.156 for 7.0-2.5-A data, and includes 186 water molecules. A comparison of y-thrombin with the thrombin structure in the a-thrombin-hirugen complex reve+ed that the two structures agreed well (r.m.s.A = 0.39 A for main chain atoms). These structures possess uninhibited active sites where the disposition of the catalytic triad residues is nearly identical. The electron density in the vicinity of the y-thrombin cleavage regions is poor, and only becomes well-defined several residues prior to and after the actual cleavage sites. The extensive disorder evoked by P-cleavage(s) in the Ly~~~-Glu~ loop region indicates that this part of the molecule is severely disrupted by autolysis and is the reason exosite functions are dramatically impaired in
Enteric methane emission and growth rate of three different breeds of beef cattle fed on oil palm frond or grass basal diet

Enteric methane emission in ruminants is affected by the feed quality. The study aimed to evaluate the performance and enteric methane emission of three beef cattle breeds fed on grass or oil palm frond basal diet. The study used three cattle breed, namely Bali, Ongole crossbred, and PO crossbred. The cattle were fed on grass or oil palm frond (OPF) basal diet and supplemented with concentrate based on palm kernel cake (PKC). Diet was fed in total mixed ration contained 12% crude protein. The study was conducted in a randomized block design in a 3x2 factorial arrangement. Results showed that the growth rate, dry matter digestibility, and enteric methane emission were not affected (P>0.05) by the interaction of cattle breed and basal diet type. No main factor affected (P>0.05) on the parameter observed. The average values of dry matter digestibility, average daily gain (ADG), methane emission, and methane intensity of the cattle were 63.38%, 359 g day−1, 91. L day-1, and 177.32 gCH4 kg ADG−1, respectively. The study indicates that OPF could be used as a basal diet of beef cattle without affecting its performance. Cattle breeds had similar performance either fed on grass or OPF basal diet.
Vehicle Classification Based on CCTV Video Recording Using Histogram of Oriented Gradients, Local Binary Patterns, and Hierarchical Multi-SVM

Vehicle classification is a crucial element in a dynamic traffic management system. The system is needed since the number of vehicles gradually increase every year. There are many methods for vehicle classification, one of those is the use of CCTV camera. As it is multifunction and cheaper than other types of camera, the government tend to use the CCTV camera as monitoring equipment of vehicles on the road. Hence, an accurate vehicle classification system from CCTV records is needed for traffic management system as well as other systems. In this study, the method contains four steps: object detection using Gaussian Mixture Model, features extraction using Histogram of Oriented Gradients and Local Binary Patterns, model training and classification using Hierarchical Multi-SVM. The experimental results show that our proposed method works well with the accuracy of 80.28%, precision of 94.27%, recall of 73.79%, and F-measure of 82.76%.
How Delightful is Indian Wellness Tourism? A Netnographic Study

The growing number of wellness care facilities in India has raised concern over the service quality that is being provided to the tourists. This research targets to explore the dimensions of wellness tourism service quality based on customers’ quality perception. Social media platforms such as Google reviews and hotel review blogs/websites were used to gather 400 public reviews. A Naïve Bayes machine learning Sentiment Analysis approach was used to identify critical areas to improve service delivery, customer relationship, and hospitality management in wellness resorts. Tangibility was identified as the most important dimension followed by empathy, assurance, reliability, and responsiveness. Assurance, empathy, and reliability have the most negative sentiments shared by tourists. Food quality, rooms and accommodation facilities, safety and security, attitude towards customer complaints, the behaviour of the staff, error-free services, and proper training are areas upon which Indian wellness resorts should focus. This study intends to identify additional constructs in future research and build robust models to actively rank the important factors for better customer engagement. Research findings may support managers and policymakers to identify areas of improvement to help them develop the wellness resorts in India. 1 Address correspondence to Dibya Nandan MISHRA, School of Management, National Institute of Technology Rourkela, Rourkela, Odisha, INDIA. E-mail: dibyanandanmishra@gmail.com
Roles of Si and SiNPs in Improving Thermotolerance of Wheat Photosynthetic Machinery via Upregulation of PsbH, PsbB and PsbD Genes Encoding PSII Core Proteins

Photosystem II is extremely susceptible to environmental alterations, particularly high temperatures. The maintenance of an efficient photosynthetic system under stress conditions is one of the main issues for plants to attain their required energy. Nowadays, searching for stress alleviators is the main goal for maintaining photosynthetic system productivity and, thereby, crop yield under global climate change. Potassium silicate (K2SiO3, 1.5 mM) and silicon dioxide nanoparticles (SiO2NPs, 1.66 mM) were used to mitigate the negative impacts of heat stress (45 °C, 5 h) on wheat (Triticum aestivum L.) cv. (Shandawelly) seedlings. The results showed that K2SiO3 and SiO2NPs diminished leaf rolling symptoms and electrolyte leakage (EL) of heat-stressed wheat leaves. Furthermore, the maximum quantum yield of photosystem II (Fv/Fm) and the performance index (PIabs), as well as the photosynthetic pigments and organic solutes including soluble sugars, sucrose, and proline accumulation, were increased in K2SiO3 and SiO2NPs stressed leaves. At the molecular level, RT-PCR analysis showed that K2SiO3 and SiO2NPs treatments stimulated the overexpression of PsbH, PsbB, and PsbD genes. Notably, this investigation indicated that K2SiO3 was more effective in improving wheat thermotolerance compared to SiO2NPs. The application of K2SiO3 and SiO2NPs may be one of the proposed approaches to improve crop growth and productivity to tolerate climatic change.
Adjusting the credit sales using CVaR-based robust possibilistic programming approach

The purpose of this study is to develop a dairy global supply chain planning model in which operational and financial dimensions are appropriately integrated in order to adjust the credit sale strategy. In order to evaluate the financial performance of the dairy supply chain, economic value-added index and some financial ratios are used. The proposed model is compared to traditional approaches, which usually use the profit maximization as an objective function. Also, the amount of credit sales is considered as a decision variable for the first time in this research. The developed model utilized a new risk measure, i.e., the fuzzy CVaR, to cope with the uncertainty of the exchange rate and the quality and quantity of returned products. The effectiveness and efficiency of the proposed model are analyzed and assessed using the data of a real dairy supply chain. The analysis of results obtained from the developed fuzzy mathematical model shows an increase in profit and a reduction in semi-variance compared to previously developed models. Also, some numerical experiments analyses index and the impact of credit sales strategy.
Width of attached gingiva an important consideration for periodontium- A case report and literature review

Reduced width can cause inflammation more frequently leading to recession. Increase in width of attached gingiva can be done by free gingival grafts, connective tissue grafts, guided tissue regeneration or acellular dermal matrix (ADM). Though, ADM has advantage that it doesnot create a donor site but, it is costly and shrinkage is more in comparison to connective tissue graft. The present case report is of female patient with reduced width of attached gingiva which causes blanching and sensitivity of teeth. Keywords: Attached gingiva, Periodontium, Periodontitis.
Analysis of Current-Voltage Characteristics on Inhomogeneous Zn/p-Si (1 0 0) Schottky Contacts

The current-voltage ( I-V ) characteristics of inhomogeneous Zn/ p -Si Schottky contacts determined in the temperature range 300-400 K. The electronic properties were investigated recording in current-voltage characteristics. The current-voltage characteristics of a Schottky contacts containing barrier inhomogeneities have been used thermionic emission-diffusion theory and assuming a Gaussian distribution of barrier heights. It is shown that the occurrence of a Gaussian distribution of then barrier heights is responsible for the decrease of the apparent barrier height F b , increase ideality factor n and linearity in the activation energy plot at high linearity. F b versus 1/ T plot was drawn to obtain evidence of a Gaussian distribution of the barrier heights, and values of =1.51 eV and s o = 0.201 V for the mean barrier height and zero-bias standard deviation have been obtained from this plot, respectively. Thus, a modified versus 1/T plot gives (T=0) and A * as 1.51 eV and 32.61 A cm -2 K -2 , respectively.
Mathematical Modeling of Heat Transper in Agricultural Drying Machine Room (Box Dryer)

Differential equations arise in many fields of science and technology, when the deterministic relationships involving a continuously changing quantity (modeled by a mathematical function) and its rate of change (expressed as a derivative) are known or postulated. This can be seen for example in the problem of heat transfer. The problems raised in this study are how to model the heat equation and how to solve the heat equation model. The research was conducted to find a model of the heating equation in a rice dryer and solve the heat equation using the variable separation method. This discussion is carried out in two conditions, namely the steady state (constant time) and unsteady (changing time).
Stieltjes and Hamburger Reduced Moment Problem When MaxEnt Solution Does Not Exist

For a given set of moments whose predetermined values represent the available information, we consider the case where the Maximum Entropy (MaxEnt) solutions for Stieltjes and Hamburger reduced moment problems do not exist. Genuinely relying upon MaxEnt rationale we find the distribution with largest entropy and we prove that this distribution gives the best approximation of the true but unknown underlying distribution. Despite the nice properties just listed, the suggested approximation suffers from some numerical drawbacks and we will discuss this aspect in detail in the paper.