Miracle-dz/UniFAR-FTUs huggingface dataset:
Landauer Principle: Re-Formulation of the Second Thermodynamics Law or a Step to Great Unification?

The Landauer principle supplies the estimation of the minimal mass of a particle which is capable to record/erase information within a thermal bath at the temperature of T. Particles lighter than m ˜ 0 = k B Tln2 c 2 will not transform the information to the surrounding bodies and are well expected to be undetectable. The relation of the Landauer principle to the problem of “dark matter” is discussed. The maximal informational content of a particle at rest, estimated as I max = m 0 c 2 k B Tkn2 is introduced. The Landauer principle also allows the estimation of minimal energy of the field which is capable to record/erase 1 bit of information in the surrounding at the temperature of T. The relativistic aspects of the Landauer principle and its relation to the relativistic transformation of temperature are addressed.
Cultivar Classification of Single Sweet Corn Seed Using Fourier Transform Near-Infrared Spectroscopy Combined with Discriminant Analysis

Seed purity is a key indicator of crop seed quality. The conventional methods for cultivar identification are time-consuming, expensive, and destructive. Fourier transform near-infrared (FT-NIR) spectroscopy combined with discriminant analyses, was studied as a rapid and nondestructive technique to classify the cultivars of sweet corn seeds. Spectra with a range of 1000–2500 nm collected from 760 seeds of two cultivars were used for the discriminant analyses. Thereafter, 126 feature wavelengths were identified from 1557 wavelengths using a genetic algorithm (GA) to build simplified classification models. Four classification algorithms, namely K-nearest neighbor (KNN), soft independent method of class analogy (SIMCA), partial least-squares discriminant analysis (PLS-DA), and support vector machine discriminant analysis (SVM-DA) were tested on full-range wavelengths and feature wavelengths, respectively. With the full-range wavelengths, all four algorithms achieved a high classification accuracy range from 97.56% to 99.59%, and the SVM-DA worked better than other models. From the feature wavelengths, no significant decline in accuracies was observed in most of the models and a high accuracy of 99.19% was still obtained by the PLS-DA model. This study demonstrated that using the FT-NIR technique with discriminant analyses could be a feasible way to classify sweet corn seed cultivars and the proper classification model could be embedded in seed sorting machinery to select high-purity seeds.
Pengaruh Kualitas Kehidupan Kerja, Disiplin Kerja Dan Kompensasi Terhadap Produktivitas Kerja Pegawai Pada Kantor Dinas Lingkungan Hidup Provinsi Sulawesi Utara

Keberhasilan suatu kantor tergantung dari kualitas sumber daya manusia yang berada didalamnya. Oleh karena itu, kantor berusaha meningkatkan produktivitas pegawainya agar lebih disiplin kerja dalam melakukan tugas dan tanggung jawab, tentunya mempunyai suatu tujuan yang sama yakni mengharapkan hasil pekerjaan yang baik dan memuaskan sesuai apa yang ditentukan dalam instansi/organisasi. Tujuan penelitian ini adalah untuk mengetahui apakah Kualitas Kehidupan Kerja, Disiplin Kerja dan Kompensasi berpengaruh terhadap Produktivitas Kerja Pegawai Kantor Dinas Lingkungan Hidup Provinsi SULUT. Metode yang digunakan adalah analisis regresi linear berganda. Populasi penelitian sebanyak 75 pegawai dan sampel yang digunakan sebanyak 62 responden. Hasil penelitian menunjukkan Kualitas Kehidupan Kerja, Disiplin Kerja dan Kompensasi berpengaruh baik secara simultan maupun parsial terhadap Produktivitas Kerja Pegawai. Pimpinan Kantor Dinas Lingkungan Hidup Provinsi SULUT sebaiknya memperhatikan variabel kualitas kehidupan kerja, disiplin kerja dan kompensasi karena memiliki pengaruh terhadap produktivitas kerja pegawai sehingga dapat meningkatkan produktivitas kerja pegawai serta dapat mencapai tujuan dari instansi/organisasi.
Modulating function‐based fast convergent observer and output feedback control for a class of non‐linear systems

In this study, a new observer for a class of non-linear single input/single output systems is proposed. This observer is based on a modulating function with time/output dependent coordinates transformation which transforms the original system into a like-type observer canonical form. In the new coordinates, the initial conditions are annihilated. This property permits to construct a fast convergent deadbeat observer activated after an time delay chosen in order to avoid the singularity of the transformation at the initial time t = t 0 . The finite-time convergence of the observer is established, i.e. it is shown that the estimation error is bounded in finite time. The proposed observer is used in an output feedback controller design. Using the already established results on the output feedback stabilisation of non-linear input-affine systems, the separation principle is addressed here and the authors show that output feedback controller guarantees under certain conditions the stability of the closed-loop system. Two numerical examples are given to illustrate the effectiveness of the proposed observer-based output feedback controller.
Niat Adopsi Petani Dalam Menggunakan Teknologi Combine Harvester

Kelangkaan tenaga kerja panen padi menyebabkan jadwal panen tertunda atau tidak tepat waktu. Keterlambatan panen dapat menyebabkan menurunnya kualitas maupun kuantitas hasil produksi. Salah satu jenis mesin pertanian dalam pengembangan pertanian modern saat ini adalah alat panen menggunakan Combine Harvester . Tujuan penelitian ini adalah untuk mengetahui sikap, norma subjektif dan kontrol perilaku terhadap niat adopsi petani dalam menggunakan teknologi Combine Harvester. Rancangan / metodologi / pendekatan responden yang dipilih sebagai sampel adalah petani yang mengetahui atau menerapkan Combine Harvester di Kecamatan Jetis, Kabupaten Mojokerto. Metode penelitian menggunakan probability dengan teknik simple random sampling . Teknik analisis data yang digunakan adalah Structural Equation Modelling (SEM) - Partial Least Suare (PLS) dengan 80 responden. Hasil penelitian yang diperoleh dari ketiga faktor adalah sikap, norma subjektif , dan kontrol prilaku berpengaruh positif terhadap niat petani dalam menggunakan teknologi Combine Harvester . Faktor norma subjektif adalah prediktor utama dalam mempengaruhi niat adopsi petani dalam menggunakan teknologi. Kemudian dilanjutkan oleh sikap petani dan kontrol perilaku.
The Analysis of the Readability Levels of The Reading Texts in Textbook Entitled “Fast Tract to English” for the Third Year Students of SMA Based on Raygor Readability Estimate

The objectives of this research are to know the readability levels of the reading texts in the textbook and want to know whether or not the reading texts are suitable linguistically for the third year students of SMA. The method used in writing this research was the descriptive method. There were the 38 reading texts analyzed which were taken from an English textbook entitled “Fast Tract to English”. The data were collected through the documentation technique. Those reading texts were analyzed by using Raygor Readability Estimate. There are five findings in this research. First, on the whole, the readability of the textbook is 11. It means the textbook is not suitable lingustically for the third year students of SMA because in general, the students have been studying English for nine years. Second, the writer found four reading texts that their readability levels are under Level 9. Based on Raygor Readability Estimate (RRE), those reading texts are not suitable linguistically for the third year students of SMA because they are predicted as too easy texts for them. Conversely, those reading texts can be linguistically suitable for those who have been studying English since first year of Junior High School or for less than 9 years. Third, there are seven reading texts that are considered as readable texts. The readability level of those reading texts is 9. Based on RRE, those texts are suitable linguistically for the third year students of SMA because level 9 is predicted as suitable readability level for them. However, those texts cannot be suitable linguistically for them if they have been studying English for under or over nine years. Fourth, most of the readability levels of the reading texts in the textbook are over Level 9 namely twenty-six reading texts. Based on (RRE), those reading texts are not linguistically suitable for the students who have been studying English since they were in fourth grade of Elementary school. Those reading texts can be suitable linguistically for those who have been studying English formally for over nine years. Fifth, among 38 reading texts, there is only one reading text that its readability level is in Invalid Level. This text is considered as not readable text. It means, this text cannot be read and learnt. It is predicted, the students might have difficulties in understanding this reading text. The reading text entitled “Non-Aligned Movement”. Keywords: Readability Levels, Reading Texts, Textbook.
Regulation of Feeding and Metabolism by Neuropeptide F and Short Neuropeptide F in Invertebrates

Numerous neuropeptide systems have been implicated to coordinately control energy homeostasis, both centrally and peripherally. However, the vertebrate neuropeptide Y (NPY) system has emerged as the best described one regarding this biological process. The protostomian ortholog of NPY is neuropeptide F, characterized by an RXRF(Y)amide carboxyterminal motif. A second neuropeptide system is short NPF, characterized by an M/T/L/FRF(W)amide carboxyterminal motif. Although both short and long NPF neuropeptide systems display carboxyterminal sequence similarities, they are evolutionary distant and likely already arose as separate signaling systems in the common ancestor of deuterostomes and protostomes, indicating the functional importance of both. Both NPF and short-NPF systems seem to have roles in the coordination of feeding across bilaterian species, but during chordate evolution, the short NPF system appears to have been lost or evolved into the prolactin releasing peptide signaling system, which regulates feeding and has been suggested to be orthologous to sNPF. Here we review the roles of both NPF and sNPF systems in the regulation of feeding and metabolism in invertebrates.
IMPLEMENTASI PEMBELAJARAN PROJECT BASED LEARNING UNTUK ANAK USIA DINI

Project Based Learning adalah pendekatan pengajaran yang dikembangkan berdasarkan prinsip contructivis, problem solving, inquiri riset, integrated studies dan menekankan pada aspek kajian teoritis dan aplikasi. Model pembelajaran yang diawali dengan tahapan mengumpulkan informasi berupa gagasan dan pertanyaan anak-anak sesuai dengantopik yang dipilih lalu dikembangkan menjadi kegiatan belajar dan eksplorasi. Pembelajaran menggunakan metode Project Based Learning siswa mengembangkan suatu proyek baik secara individu ataupun secara kelompok untuk menghasilkan suatu produk. Topik dalam pendekatan proyek harus konkret, dekat dengan pengalaman pribadi anak, menarik, memiliki potensial secara emosional dan intelektual. Implementasi Project Based Learning pada anak usia dini, dibagai menjadi 3 diantaranya adalah: pembelajarran proyek total,pembelajaran proyek parsial dan pembelajaran proyek okasional Kata kunci: pembelajaran berbasis proyek, pendidikan anak usia dini
Precision Determination of the Light Quark Masses from QCD Finite Energy Sum Rules

The light quark masses are determined from a QCD finite energy sum rule, using the pseudoscalar correlator to six-loop order in perturbative QCD, with the leading vacuum condensates and higher order quark mass corrections included. Both the fixed order perturbation theory (FOPT) method and contour improved perturbation theory (CIPT) method are explored. The results in the latter framework exhibit good convergence and stability in the window s 0 = 3.0 5.0 GeV2 for the strange quark and s0 = 1.5 4.0 GeV2 for the up and down quarks; where s 0 is the radius of the integration contour in the complex s-plane. The results are: m ¯ s ( 2 GeV ) = 91.8 ± 9.9 MeV , m ¯ u ( 2 GeV ) = 2.6 ± 0.4 MeV , m ¯ d ( 2 GeV ) = 5.3 ± 0.4 MeV , and the sum m ¯ u d ≡ ( m ¯ u + m ¯ d ) / 2 is m ¯ u d ( 2 GeV ) = 3.9 ± 0.3 MeV . These proceedings critically explore how the current results - computed precisely in a modern computer language, Mathematica compare to past determinations in literature.
Infection-Induced Resistance to Experimental Cerebral Malaria Is Dependent Upon Secreted Antibody-Mediated Inhibition of Pathogenic CD8+ T Cell Responses

Cerebral malaria (CM) is one of the most severe complications of Plasmodium falciparum infection. There is evidence that repeated parasite exposure promotes resistance against CM. However, the immunological basis of this infection-induced resistance remains poorly understood. Here, utilizing the Plasmodium berghei ANKA (PbA) model of experimental cerebral malaria (ECM), we show that three rounds of infection and drug-cure protects against the development of ECM during a subsequent fourth (4X) infection. Exposure-induced resistance was associated with specific suppression of CD8+ T cell activation and CTL-related pathways, which corresponded with the development of heterogeneous atypical B cell populations as well as the gradual infection-induced generation and maintenance of high levels of anti-parasite IgG. Mechanistically, transfer of high-titer anti-parasite IgG did not protect 1X infected mice against ECM and depletion of atypical and regulatory B cells during 4X infection failed to abrogate infection-induced resistance to ECM. However, IgMi mice that were unable to produce secreted antibody, or undergo class switching, during the repeated rounds of infection failed to develop resistance against ECM. The failure of infection-induced protection in IgMi mice was associated with impaired development of atypical B cell populations and the inability to suppress pathogenic CD8+ T cell responses. Our results, therefore, suggest the importance of anti-parasite antibody responses, gradually acquired, and maintained through repeated Plasmodium infections, for modulating the B cell compartment and eventually suppressing memory CD8+ T cell reactivation to establish infection-induced resistance to ECM.
2018 International Atmospheric Rivers Conference: Multi‐disciplinary studies and high‐impact applications of atmospheric rivers

Atmospheric rivers (ARs) play a vital role in shaping the hydroclimate of many regions globally, and can substantially impact water resource management, emergency response planning, and other socioeconomic entities. The second International Atmospheric Rivers Conference took place at the Scripps Institution of Oceanography, University of California, San Diego, during 25–28 June, 2018, in La Jolla, California, USA. It was sponsored by the Center for Western Weather and Water Extremes (CW3E). A total of 120 people attended the Conference with 94 abstracts submitted and 30 participating students. In addition to the conference, the Student Forecasting Workshop was organised in the same week. During this workshop, students were exposed to AR forecasting tools, and learned examples of how these tools could be used to make decisions for various applications. The main goals of this conference were to bring together experts from across the fields of hydrology, atmospheric, oceanic, and polar sciences, as well as water management, civil engineering, and ecology to advance the state of AR science and to explore the future directions for the field. The conference was organised into traditional oral and poster presentations, along with panel discussions and Breakout Groups. This format allowed enhanced interaction between participants, driving progress within the scientific community and the enhanced communication of societal needs by various stakeholders. Several emerging topics of research were highlighted, including subseasonal‐to‐seasonal (S2S) prediction of ARs and an overview of the AR Reconnaissance campaign. In addition to providing a forum to disseminate and debate new results from scientific talks and posters, the conference was equally effective and useful in linking scientists to users and decision‐makers that require improved knowledge on ARs to manage resources and prepare for hazards.
On the pth moment integral input‐to‐state stability and input‐to‐state stability criteria for impulsive stochastic functional differential equations

In this paper, several new Razumikhin‐type theorems for impulsive stochastic functional differential equations are studied by applying stochastic analysis techniques and Razumikhin stability approach. By developing a new comparison principle for stochastic version, some novel criteria of the pth moment integral input‐to‐state stability and input‐to‐state stability are derived for the related systems. The feature of the criteria shows that time‐derivatives of the Razumikhin functions are allowed to be indefinite, even unbounded, which can loosen the constraints of the existing results. Finally, some examples are given to illustrate the usefulness and significance of the theoretical results.
Sistem Informasi Geografis Monitoring Kkn Posdaya Universitas Ahmad Dahlan Berbasis Google Maps Api

Posdaya (Pos Pemberdayaan Keluarga) adalah lembaga masyarakat yang bertujuan untuk pemberdayaan keluarga. Pemrakarsa Posdaya adalah Yayasan Damandiri dengan pelaksana teknis Lembaga Pengabdian Masyarakat (LPM) berbagai perguruan tinggi melalui kegiatan Kuliah Kerja Nyata (KKN), salah satunya Universitas Ahmad Dahlan. Selama ini hasil KKN Posdaya UAD masih berupa laporan tertulis sehingga menyulitkan LPM dalam melakukan Monitoring dan pencarian lokasi posko. Pemanfaatan teknologi informasi dan Internet serta integrasi dengan sisi geografis dapat menjadi solusi yang memberikan kemudahan pertukaran data serta visualisasi yang dinamis. Penanganan sisi geografis menggunakan Google Maps Api yaitu sebuah jasa penyedia peta dunia secara gratis dan online yang di sediakan oleh google. Sedangkan model proses pembangun perangkat lunak yang dipakai adalah waterfall model. Dari hasil penelitian ini dihasilkan sebuah sistem yang mampu menampilkan informasi lokasi dari KKN Posdaya UAD beserta data yang ada secara periodik. Dengan SIG ini, LPM dapat melihat dan memonitoring perkembangan Posdaya secara keseluruhan, serta dapat membantu mahasiswa KKN apabila kegiatan mulai tidak berjalan. Kata Kunci : Sistem Informasi Geografis , Posdaya, Google Maps Api
OPTIMIZATION BY FULL FACTORIAL DESIGN OF LEAD ADSORPTION CONDITIONS ON ACTIVATED CARBONS FROM COCONUT SHELLS.

Adsorption of heavy metals on activated carbons is influenced by various factors that must be controlled. This study investigates the optimal conditions for removal lead on activated carbon using experimental designs. Thus, influence of three parameters (pH, lead concentration and activated carbon) on adsorption rate was studied. Activated carbons was prepared from coconuts shells of Côte d’Ivoire by using chemical activation method. pH, lead concentration and coal nature are the factors considered in the two-level complete factorial plan used for optimization. values of lead elimination rate are between 87 % and 96 % thus indicating pertinence of choice of the experimental domain. Moreover, two of the three factors; pH and lead concentration have a significant influence on the lead removal rate. Also, interactions between carbon type and lead concentration and those between pH and concentration have a significant influence on adsorption. Thus, the optimal adsorption conditions of 50 mL of lead at 150 mg / L of concentration are obtained with 0.3 g of activated carbon, at pH 6 and at a temperature of 25 ° C. Experimental designs therefore make it possible to optimize lead removal conditions from wastewater.
A New Extended Analytical Hierarchy Process Technique with Incomplete Interval-valued Information for Risk Assessment in IT Outsourcing

Information technology (IT) outsourcing has been recognized as a new methodology in many organizations. Yet making an appropriate decision with regard to selection and use of these methodologies may impose uncertainties and risks. Estimating the occurrence probability of risks and their impacts organizations goals may reduce their threats. In this study, an extended analytical hierarchical process method is tailored based on interval-valued hesitant fuzzy information to assess the risks in IT outsourcing. In the proposed approach, the weight of each decision maker is implemented in process of the proposed method by considering the concept of simple additive weighting method to decrease the judgment errors. In addition, the opinions of each decision maker about the risks of IT outsourcing under the conflicted attributes are aggregated in final step of the proposed procedure to reduce the data loss. Indeed, this paper proposes a new extended interval-valued hesitant fuzzy final aggregation analytical hierarchical process by considering the decision makers' importance. Finally, an adopted case study in ISACO corporation as the largest spare parts deliverer in Iran is considered to indicate the process implementation of the proposed approach. In this respect, the risks and their factors in the domain of IT outsourcing are identified based on experts’ judgments. Therefore, the achieved ranking results indicate that the proposed approach could deal with group decision-making problem as a reliable manner.
On the nonlinear performance of a tuned sloshing damper under small amplitude excitation

This paper explores the potential of a tuned sloshing damper (TSD) in the control of small amplitude vibrations, which is often important from serviceability considerations, through the use of a relatively small mass ratio of the damper liquid. To investigate the nonlinear behavior of the TSD, real-time hybrid testing is conducted in which a single rectangular tank containing water constitutes the prototype TSD. The structure is modeled as a multi-degree-of-freedom system. Two different base input motions, namely harmonic and synthetically generated broad-banded input, are considered. The sensitivity of the TSD performance to tuning ratio vis-à-vis low mass ratio is studied. The experimental results are compared with those obtained from a numerical study carried out using the shallow water wave theory-based nonlinear, semi-empirical model, for the simulation of the sloshing motion of the TSD liquid (water). Results indicate that in the tuned condition, even with a low mass ratio, the TSD is highly effective in the suppression of the small amplitude vibrations, which is underestimated by the simulation model.
Some interval‐valued q‐rung orthopair weighted averaging operators and their applications to multiple‐attribute decision making

Q‐rung orthopair fuzzy sets (q‐ROFSs), initially proposed by Yager, are a new way to reflect uncertain information. The existing intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets are special cases of the q‐ROFSs. However, due to insufficiency in available information, it is difficult for decision makers to exactly express the membership and nonmembership degrees by crisp numbers, and interval membership degree and interval nonmembership degree are good choices. In this paper, we propose the concept of interval‐valued q‐rung orthopair fuzzy set (IVq‐ROFS) based on the ideas of q‐ROFSs and some operational laws of q‐rung orthopair fuzzy numbers (q‐ROFNs). Then, some interval‐valued q‐rung orthopair weighted averaging operators are presented based on the given operational laws of q‐ROFNs. Further, based on these operators, we develop a novel approach to solve multiple‐attribute decision making (MADM) problems under interval‐valued q‐rung orthopair fuzzy environment. Finally, a numerical example is provided to illustrate the application of the proposed method, and the sensitivity analysis is further carried out for the parameters.