Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Characterization of Echinococcus granulosus Isolates Found in Cattle, Buffaloes, Sheep and Goats in Afyonkarahisar, Turkey

Bu calisma, Afyonkarahisar yoresinde yetistirilen sigir, manda, koyun ve kecilerde bulunan Echinococcus granulosus kistlerinin genotiplerinin belirlenmesi amaciyla yapilmistir. Arastirmada, hidatik kistle enfekte 65 keci, 71 koyun, 119 sigir ve 3 manda olmak uzere toplam 258 hayvanin ic organlarindan kistler toplanmistir. Enfekte hayvanlardaki E. granulosus genotiplerini belirlemek amaciyla kistlerden cikarilan germinal membran ve protoskolekslerden toplam 78 kistten DNA izole edilmistir. ND1 gen bolgesi Hin6I ve StuI restriksiyon enzimleri kullanilarak PCR-RFLP yapilmis ve tum izolatlarda polimorfizm belirlenememistir. COX1 gen bolgesi analizinde sigir, manda, koyun ve kecilerden elde edilen izolatlarin tumunde evcil koyun susu olarak bilinen G1 susu ve 18 farkli haplotip bulunmustur. Sonuc olarak, Afyonkarahisar yoresinde yetistirilen sigir, manda, koyun ve kecilerde bulunan izolatlarin COX1 geninde yapilan genetik analizler sonucunda tum izolatlarin G1 susu oldugu kanisina varilmistir.
Genome-wide scanning for QTL: mapping methodology and detected QTL in cattle

The availability of highly polymorphic microsatellite DNA markers on genetic maps in different livestock species and their association with phenotypes now gives geneticists and breeders an effective tool for the detection of quantitative trait loci (QTL) affecting traits of interest. This paper reviews QTL detection methodology with emphasis on multi-point interval mapping in half-sib populations. It also summarises published reports on QTLs detected by researchers in the bovine genome and suggests the way forward for QTL mapping in Japanese Black cattle.
A New Description of Transverse Momentum Spectra of Identified Particles Produced in Proton-Proton Collisions at High Energies

The transverse momentum spectra of identified particles produced in high energy proton-proton ($p+p$) collisions are empirically described by a new method with the framework of participant quark model or the multisource model at the quark level, in which the source itself is exactly the participant quark. Each participant (constituent) quark contributes to the transverse momentum spectrum, which is described by the TP-like function, a revised Tsallis--Pareto-type function. The transverse momentum spectrum of the hadron is the convolution of two or more TP-like functions. For a lepton, the transverse momentum spectrum is the convolution of two TP-like functions due to two participant quarks, e.g. projectile and target quarks, taking part in the collisions. A discussed theoretical approach seems to describe the $p+p$ collisions data at center-of-mass energy $\sqrt{s}=200$ GeV, 2.76 TeV, and 13 TeV very well.
Improving the productivity of mechanised harvesting systems using remote sensing

Summary Mechanised harvesting operations are popular in Australia because of their productivity and efficiency, improved worker safety and reduced cost of operations. Most research has found that the productivity and efficiency of a mechanised harvesting system is affected by a number of factors such as forest stand characteristics, terrain variables, operator skill and machinery limitations. However, current studies did not quantify these factors sufficiently to evaluate the productivity and efficiency effects that can guide allocation of different harvesting equipment. This article reviews the literature on how major forest stand characteristics such as tree size and undergrowth affect the productivity and efficiency of a harvesting machine and/or system in clearfelling operations, and explores the application of remote sensing technology including multi-spectral imagery and LiDAR (light detection and ranging) to identify and quantify these characteristics to allow for better harvest planning and harvest system allocation. It is concluded that by evaluating the interactions between each of these factors and different types of harvesting equipment, an empirical model could be developed to optimise the use of current harvesting systems and assist the selection of more cost-effective harvesting machinery, using remote sensing.
A Multiple Adaptive Neuro-Fuzzy Inference System for Predicting ERP Implementation Success

The implementation of modern ERP solutions has introduced tremendous opportunities as well as challenges into the realm of intensely competent businesses. The ERP implementation phase is a very costly and time-consuming process. The failure of the implementation may result in the entire business to fail or to become incompetent. This fact along with the complexity of data streams has led the researchers to develop a hierarchical multi-level predictive solution to automatically predict the implementation success of ERP solution. This study exploits the strength and precision of the Adaptive Neuro-Fuzzy Inference System (ANFIS) for predicting the implementation success of ERP solutions before the initiation of the implementation phase. This capability is obtained by training the ANFIS system with a data set containing a large number of ERP implementation efforts that have led to success, failure, or a mid-range implementation. In the initial section of the paper, a brief review of the recent ERP solutions as well as ANFIS architecture and validation procedure is provided. After that, the major factors of ERP implementation success are deeply studied and extracted from the previous literature. The major influential implementation factors in the businesses are titled as Change Orchestration (CO), Implementation Guide (IG), and Requirements Coverage (RC). The factors represent the major elements that guide the implementation project to a final success or to a possible failure if mismanaged. Accordingly, three initial ANFIS models are designed, trained, and validated for the factors. The models are developed by gathering data from 414 SMEs located in the Islamic Republic of Iran during a three-year period. Each model is capable of identifying the weaknesses and predicting the successful implementation of major factors. After this step, a final ANFIS model is developed that integrates the outputs of three initial ANFIS models into a final fuzzy inference system, which predicts the overall success of the ERP implementation project before the initiation phase. This model provides the opportunity of embedding the previous precious experiences into a unified system that can reduce the heavy burden of implementation failure.
Association Between Social Networks and Subjective Well-Being in Adolescents: A Systematic Review

Social networks are ubiquitous in the lives of adolescents. This work systematically reviewed all studies which investigated the relationship between subjective well-being and the social networks of adolescents. Twenty-nine articles (out of 1,204 hits) were included within the review. Offline social networks have a positive association between the mood, self-esteem, and loneliness of adolescents but not body image. Nine of the studies investigating online social networks found a positive association on mood, life satisfaction, and loneliness through support seeking and receiving positive feedback. Fifteen of the studies found a negative association between online social networks and mood, self-esteem, life satisfaction, body image, and overall subjective well-being through high investment, passive use, receiving negative feedback, and social media ostracism. There is a need for intervention programs and education for young people, educators, and parents to address the risks to subjective well-being brought about by online social networks.
Internal Model Control Tuned Proportional Integral Derivative for Quadrotor Unmanned Aerial Vehicle Dynamic Model

In recent times, there are has been growing substantive attention to the quadrotor Unmanned Aerial Vehicle (UAV) stability control. However, inherent nonlinearity is a major challenge with this control technique, this paper, therefore, developed a PID based Internal Model Control (IMC) method for the dynamic model of quadrotor UAV. The versatility and simplicity of the Proportional-Integral-Derivative (PID) controller enable it to enjoy wide usage and acceptability as stability control methods for the unmanned aerial vehicles. The aim of this paper is to use the PID controller with IMC to control a UAV. The proposed approach - IMC-PID control method -was simulated using MATLAB software and X-plane flight simulator. Thereafter, a comparative analysis of the IMC-PID control method with Chien-Hrones-Reswick, Cohen-coon, and Ziegler Nichols based PID Controllers was done using pitch and altitude as performance metrics. Keywords: Internal Model Control,MATLAB/Simulink , Proportional Integral Derivative, Quadrotor, Unmanned Aerial Vehicle (UAV),X-Plane, DOI: 10.7176/CTI/9-01 Publication date: April 30 th 2020
Enhancement by Arginine Vasopressinof the L-Type Ca2+ Current in Guinea PigVentricular Myocytes

Effects of arginine-vasopressin (AVP) on the cardiac L-type Ca2+ current (ICa,L) were investigated in single ventricular cells of guinea pig hearts by the conventional and nystatin-perforated patch clamp methods. Using the conventional whole-cell clamp method, AVP (0.01–1 μmol/l) appeared to have little effect on ICa,L, but the same concentrations of AVP consistently increased ICa,L using the nystatin-perforated patch clamp mode. The stimulatory effect was blocked by either OPC-21268 (8 μmol/l), a selective V1 receptor antagonist, or staurosporine (10 nmol/l), an inhibitor of protein kinases. AVP further increased the amplitude of ICa,L previously augmented maximally by isoprenaline (1 μmol/l). When myocytes were pretreated with ryanodine (2 μmol/l) or cyclopiazonic acid (3 μmol/l), the increase in ICa,L by AVP was partially reduced. The present results indicate that protein kinase C might be involved in the AVP-induced increase of ICa,L. The AVP-induced increase in ICa,L may require intracellular constituents, which might be washed out during the use of the conventional whole-cell patch clamp method.
ANALISIS DAYA SAING ANTARA BANK BUMN DENGAN BANK NON BUMN INDONESIA

AbstrakSektor perbankan dalam perekonomian suatu Negara memiliki peranan yang sangat penting dalam kehidupan masyarakat saat ini yang sebagian besar melibatkan jasa dari sektor perbankan. Saat ini berbagai strategi dilakukan oleh pihak bank dalam rangka menarik minat masyarakat untuk menjadikan nasabahnya. Penyedia layanan jasa transaksi ekonomi seperti bank semakin berlomba-lomba untuk memberikan pelayanan yang baik kepada masyarakat. Penelitian ini bertujuan untuk mengetahui daya saing antara bank BUMN dengan bank Non BUMN di Indonesia. Jenis penelitian yang dilakukan menggunakan metode penelitian kuantitatif. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari lembaga-lembaga atau instansi - instansi antara lain Bank Indonesia (BI), Otoritas Jasa Keuangan (OJK) dan laporan keuangan bank tahun 2014 - 2016. Sedangkan metode analisis data yang digunakan adalah metode analisis RCA (Revealed Comparative Advantage). Hasil analisis data menunjukkan bahwa Bank BNI merupakan bank yang memiliki keunggulan komparatif yang tinggi (nilai RCA) pada sektor pendapatan operasional dibandingkan bank lainnya. Dan bank BTN memiliki keunggulan komparatif yang tinggi (nilai RCA) pada sektor pendapatan bunga dibandingkan bank lainnya. serta Kondisi Keuangan pada masing-masing kelompok bank bahwa kelompok Bank BUMN adalah lebih baik dari pada kelompok Bank Non BUMN. Kata kunci: Daya Saing, Perbankan, Keunggulan Komparatif. �AbstractThe banking sector in the economy of a State has a very important role in the life of the community today that mostly involves services from the banking sector. �Currently, various strategies are conducted by the bank in order to attract public interest to make its customers. �Providers of economic transaction services such as banks are increasingly vying to provide good service to the community. �This study aims to determine the competitiveness of indonesia�s state bank and private bank. �The type of research conducted using quantitative research methods. �The data used in this study are secondary data obtained from institutions or agencies such as Bank Indonesia (BI), Financial Services Authority (OJK) and Financial statements of banks on 2014-2016. �While the method of data analysis is the method of analysis of RCA (Revealed Comparative�Advantage). �The result of data analysis shows that Bank BNI is a bank that has a high comparative advantage (RCA value) in the sector of operating income compared to other banks. And the BTN bank has a high comparative advantage (RCA value) in the interest income sector compared to other banks. Keywords: Competitiveness, Bank, Comparative Advantage
The examination of Educational System at the Industry 4.0 among lecrurers

The Industry 4.0 is no longer fiction, it is reality nowadays. Although in recent years several measures, government activities, projects and increased R&D resources have motivated and assisted companies in their innovation activities. This resource will be not enough to the transition because the main resources, the qualified employees, are lacking from the system. The education shows a strong fallback compared to Industry 4.0. The primary research examines the education system from Industry 4.0 point of viewA primary research was carried out among lecturers at the campuses of the Eszterhazy Karoly University in Hungary in 2018, which focused on the education system from the point of view of Industry 4.0. The research applied the face – to – face one -on -one in-depth interview method. According to the opinion of the interviewed lecturers, communication is much faster and more effective today than before, and they agreed that the development of technology and digitalisation requires new challenges, modern and pragmatic knowledge, the development of new skills and abilities. However, the current technologies in the education has some deficiencies and the education system is not necessarily capable of preparing students with the expectations of the fourth industrial revolution. More opportunities are mainly in the field of engineering and IT.
Mobil Kitle Algılamada Mesaj Gecikme Zamanı Üzerine Bir Araştırma

Akilli telefonlar ve giyilebilir cihazlar gibi akilli cihazlarin yayginligi, insan hareketliliginin yani sira, mobil kitle algilamasi (MKA) araciligiyla daha genis bir olcekte faydali bilgilerin toplanmasini saglamistir. Yerlesik sensorlerin ve bu tur cihazlarda kablosuz iletisim yeteneklerinin mevcudiyeti, yalnizca cevresel kosullari izlemek icin bir arac saglamakla kalmaz, ayni zamanda mobilite ve veriyi onbellege almayi kaldirarak baska bir sekilde bagli olmayan dugumlere aralikli baglanti sunar. Esi gorulmemis firsatlarin mevcut olmasina ragmen, MKA ayrica toplanan verilerin azligi gibi ele alinmasi gereken cesitli zorluklar da ortaya koymaktadir. Toplanan veriler seyrekse, veri toplama alanindaki bazi bolgeler ele alinmayabilir. Ote yandan, eger veri azsa, kasitli olarak verileri degistirebilecek kotu niyetli katilimcilari veya kalibre edilmemis sensorler nedeniyle yanlis veri gonderebilecek dostu katilimcilari dikkate alarak toplanan verileri dogrulamak daha zor olacaktir. Bu calismada, uc rastgele mobilite varlik modeli icin mesajin bagli dugumlerden baz dugume gecme gecikmeleri arastirilmistir.
Promoting Children’s Creativity through Drama in Education

Under the background of economic globalization, human creativity and imagination are key resources in a world dominated by technological innovations. Creative talents have become the pressing needs of the country. Promoting children’s creativity has also been one of the research interests in school education. This thesis aims to research the relationship between Drama in Education and the cultivation of children’s creativity and explore the feasibility of promoting children’s creativity through DIE in English teaching. The study employs a qualitative method utilizing classroom observation method and interview method to examine the effectiveness of children’s creativity promotion in the practical English DIE class. The findings show that the main elements of drama in education are consistent with theories proposed by some of today’s best-known scholars in the area of creativity studies and the use of DIE for English teaching has helped stimulate children’s creativity. It is hoped that the findings of this thesis will have a significance in promoting children’s creativity through DIE and provide some inspiration for teachers and researchers.
Aflatoxins evaluation on in-shell and shelled dry Brazil nuts for export analysed by LC-MS/MS - 2006 and 2007 harvests.

Dry in-shell and shelled Brazil nuts from two different harvests were evaluated for aflatoxins by LC-tandem mass spectrometry with atmospheric pressure chemical ionisation in the positive mode. A total of 171 samples of Brazil nuts for export, comprising 108 in-shell and 63 shelled (large, medium and small sizes) were collected in a factory located at Manaus city, State of Amazonas, in the Brazilian Amazon. They were collected from big bags (in-shell nuts) and sorting tables after size classification (shelled nuts), immediately after processing, from April to May of 2006 and 2007. Samples also had their moisture content (mc) and water activity (aw) analysed and the out- and in-door environmental conditions (relative humidity (RH) and temperature) were monitored during the sampling period. From all the samples analysed from both harvests, only 8.7% (14) of the nuts contained aflatoxin at levels >4 µg/kg (EU maximum level). This corresponded to a total number of 11 and 3 for the in-shell and shelled nuts, r.
Nutrientes foliares de espécies arbóreas de três estádios sucessionais de floresta ombrófila densa no sul do Brasil

We investigated the leaf nutrient content of trees species from three distinct successional stages (early, intermediate, late) of a lowland rain forest located near the coast of Parana State, Brazil. This forest grows on sandy soil with low nutrient content. We collected mature leaves from five different individuals of each sucessional stages of the most important tree species of each successional stage (four of the early; eight of the intermediate and 11 of the late stages) for chemical analysis of following elements: N, P, K, Ca, Mg, C, Zn, Fe, Cu e Mn. The species from early sucessional stage have lower contents of N, P, K, Zn, Fe, and higher contents of Mg. These concentrations are statistically different (p 25:1), despite of the tendency to decrease as succession advances. The increment of concentration of the most studied foliar nutrients along the successional gradient is probably related to the accumulation of litter above the soil that provides a more adequate environment for efficient nutrient cycling and higher nutrient concentration in the soil.
Rapid, specific, defined substrate technology for the simultaneous detection of total coliforms and Escherichia coli

The Autoanalysis Colilert (AC) test is a modification of the defined substrate technology designed to enumerate specific target microbe(s) from a mixture. All ingredients are present in the tube or vessel in powdered form. The AC test is simple to perform—a measured amount of water is added to test tubes (for the most probable number test) or vessel [Presence/Absence (P/A) test]. After incubation, the development of a yellow color is specific for total coliforms. Fluorescence in the same tube(s) is specific for Escherichia coli. No confirmatory or completed tests need be performed. A national United States evaluation covering all sources and processing of water was conducted. The AC test was compared to multiple tube fermentation (quantitative) and P/A (qualitative) Standard Methods procedures. Testing protocol was that of the U.S. Environmental Protection Agency's Environmental Monitoring and Support Laboratory for establishing equivalency between methods. The quantitative comparison showed that the AC test was slightly more sensitive than MTF. For two of five sites it was more precise; for the other three it was equal. For the qualitative P/A the AC and Standard Methods analysis agreed 94%. Specificity of the AC method was established by subculturing a species of total coliform or E. coli from positives. The AC test was easy to use, can be performed by large and small utilities, and is less expensive than current methods. It can simultaneously, specifically enumerate total coliforms and E. coli without the need for confirmatory tests.
Reproductive Value and Rank Relations Among Macaque Sisters

The ontogeny of social dominance relations among female macaques follows a highly predictable sequence. Females rank just below their mothers. By the time a female attains 4 yr of age, she surpasses older sisters in rank. Thus, as adults, rank among sisters is inversely correlated with age. Such regularity cannot be attributed to phenotypic differences in individual prowess. We believe that asymmetries in the network of agonistic support confer rank and that the inverse correlation of rank with age among adult sisters may in part be a consequence of mothers favoring daughters with the highest reproductive value which are always the youngest among adult daughters. Reproductive values are computed from a macaque life table and the predictions of our model are discussed with respect to existing data on the allocation of parental investment and the generated reproductive value curve.
Adaptive Neural Sliding Mode Control of Markov Jump Systems Subject to Malicious Attacks

This article investigates the problem of adaptive neural sliding mode control for Markov jump systems. The transition probabilities of the Markov process are partly unknown. The cyber layer, which is vulnerable to the adversary, is deployed to broadcast the control signal to the actuator. The attacker can inject malicious information to the control signal to deteriorate the system performance. A sliding mode controller is designed to stabilize the system. Then, sufficient conditions that ensure the stability of the closed-loop system are given in the framework of the Lyapunov theory. In the end, two simulation examples are applied to illustrate the effectiveness and feasibility of the proposed methodology.
A survey of image semantics-based visual simultaneous localization and mapping: Application-oriented solutions to autonomous navigation of mobile robots

As one of the typical application-oriented solutions to robot autonomous navigation, visual simultaneous localization and mapping is essentially restricted to simplex environmental understanding based on geometric features of images. By contrast, the semantic simultaneous localization and mapping that is characterized by high-level environmental perception has apparently opened the door to apply image semantics to efficiently estimate poses, detect loop closures, build 3D maps, and so on. This article presents a detailed review of recent advances in semantic simultaneous localization and mapping, which mainly covers the treatments in terms of perception, robustness, and accuracy. Specifically, the concept of “semantic extractor” and the framework of “modern visual simultaneous localization and mapping” are initially presented. As the challenges associated with perception, robustness, and accuracy are being stated, we further discuss some open problems from a macroscopic view and attempt to find answers. We argue that multiscaled map representation, object simultaneous localization and mapping system, and deep neural network-based simultaneous localization and mapping pipeline design could be effective solutions to image semantics-fused visual simultaneous localization and mapping.