Miracle-dz/UniFAR-FTUs huggingface dataset:
A new two-parameter lifetime distribution with decreasing, increasing or upside-down bathtub-shaped failure rate

ABSTRACT In this paper, we introduce a generalization of the Bilal distribution, where a new two-parameter distribution is presented. We show that its failure rate function can be upside-down bathtub shaped. The failure rate can also be decreasing or increasing. A comprehensive mathematical treatment of the new distribution is provided. The estimation by maximum likelihood is discussed, and a closed-form expression for Fisher’s information matrix is obtained. Asymptotic interval estimators for both of the two unknown parameters are also given. A simulation study is conducted and applications to real data sets are presented.
OPTIMISASI PEMBAYARAN TIKET BUS DI JABODETABEK MELALUI PENGELOMPOKAN TRANSAKSI DIGITAL MENGGUNAKAN ALGORITMA K-MEANS

Dalam era globalisasi, banyak hal mengalami modernisasi, termasuk sarana transportasi yang semakin berkembang. Salah satu transportasi umum yang banyak digunakan adalah Bus Trans Jabodetabek atau busway. Pembangunan ekonomi membutuhkan kendaraan yang cukup dan memadai, sehingga PT Transjabodetabek membuat kebijakan pembelian kartu uang elektronik dan penghilangan layanan loket isi ulang uang tunai di seluruh halte busway. Namun, belum ada pengelompokan model pembayaran tiket bus yang dapat menjadi dasar penentuan kelanjutan kerjasama dengan platform atau vendor bank yang bersangkutan. Oleh karena itu, penelitian ini menggunakan metode analisa data Knowledge Discovery in Database (KDD) dengan jumlah data transaksi sebanyak 11.916 pada tahun 2023 dari Dinas Perhubungan Jabodetabek. Hasil dari penelitian ini menggunakan analisis clustering dengan metode K-Means yang dapat membantu mengidentifikasi permasalahan yang ada. Uang elektronik atau e-money dianggap sebagai alternatif pembayaran non-tunai yang lebih efektif dan umumnya disimpan dalam dompet digital. Dalam penelitian ini, menghasilkan Davies Bouldin Index dari K = 2 sampai dengan K = 5, maka hasil cluster yang paling optimum adalah K = 4 dengan hasil Davies Bouldin Index sebesar 0.160.
Design and implementation of a tunable crystal-heater for spectral variation of entangled non-degenerate photon pairs generated by spontaneous parametric down-conversion

Efficient entangled photon pair sources are the main component for several applications based on quantum imaging. Specifically for ghost imaging, different wavelengths of signal (imaging photons) and idler (interaction with the object) photons are desired. An efficient and narrowband generation of entangled photons exploiting spontaneous parametric down-conversion using periodically poled (pp) nonlinear crystals is therefore a fundamental preliminary requirement to achieve (the process of) ghost imaging. This work presents the design and implementation of a precise and efficient crystalheater as a variable photon pair source and compares the achieved experimental values of the SPDC-wavelengths with theoretical calculations. A periodically poled nonlinear crystal from potassium titanyl phosphate (ppKTP) can generate various non-degenerate wavelengths from a pump radiation of 405 nm by temperature changes and satisfaction of energy conservation and quasi-phase-matching conditions. For this purpose, the crystal is securely housed in a custom-built mechanical mount. A computation and adjustment of various control parameters, as well as a precise determination of the current temperature via two temperature sensors allow the heater to set the target temperature with an accuracy of 0.1 °C±0.015 °C. A method for the theoretical determination of the temperature-dependent shift of the nondegenerate wavelengths, provides a foundation from which experimental verification of achievable wavelengths and intensities can be compared. By experimental verification, the efficiency and functionality of the photon pair source and SPDC-process is verified. These presented investigations and the design of the crystal-heater provide the basis for a precise and effective photon pair source, for subsequent studies in the field of ghost imaging.
Evaluating the Feedback of the Reservoir Methane Cycle to Climate Warming under Hydrological Uncertainty

Freshwater reservoirs are widely recognized as methane (CH4) emission hotspots. Existing research has shown that temperature and hydrological conditions significantly affect wetland CH4 cycling processes. However, the feedback of the CH4 cycle to climate warming remains unclear for deep reservoirs where seasonal water thermal stratification exists. This study combined a reservoir CH4 cycling model and a Statistical DownScaling Model (SDSM) to evaluate reservoir CH4 cycling feedbacks under multiple climate change scenarios while accounting for hydrological uncertainty. Daily air temperatures in 2100 were predicted by the combination of the CanESM5 model and a SDSM. To address hydrological uncertainty, we selected three representative hydrological years (i.e., wet, normal, and dry) to create hydrological scenarios. Results showed that annual sediment CH4 production increased with warming, ranging 323.1–413.7 × 103 t C year−1 among multiple scenarios. Meanwhile, the CH4 oxidation percentage decreased with warming, which meant warming promoted sediment CH4 release non-linearly; 67.8–84.6% of sediment ebullient flux was ultimately emitted to the atmosphere (51.3–137.7 × 103 t C year−1), which showed ebullition was the dominant emission pathway. Higher air temperatures and drier conditions generally promote reservoir emissions. This study is helpful for predicting reservoir emissions while directing decision-making for reservoir sustainability.
A Hybrid Symbiotic Organisms Search Algorithm with Variable Neighbourhood Search for Solving Symmetric and Asymmetric Traveling Salesman Problem

Combinatorial optimization has been frequently used to solve both problems in science, engineering, and commercial applications. One combinatorial problems in the field of transportation is to find a shortest travel route that can be taken from the initial point of departure to point of destination, as well as minimizing travel costs and travel time. When the distance from one (initial) node to another (destination) node is the same with the distance to travel back from destination to initial, this problems known to the Traveling Salesman Problem (TSP), otherwise it call as an Asymmetric Traveling Salesman Problem (ATSP). The most recent optimization techniques is Symbiotic Organisms Search (SOS). This paper discuss how to hybrid the SOS algorithm with variable neighborhoods search (SOS-VNS) that can be applied to solve the ATSP problem. The proposed mechanism to add the variable neighborhoods search as a local search is to generate the better initial solution and then we modify the phase of parasites with adapting mechanism of mutation. After modification, the performance of the algorithm SOS-VNS is evaluated with several data sets and then the results is compared with the best known solution and some algorithm such PSO algorithm and SOS original algorithm. The SOS-VNS algorithm shows better results based on convergence, divergence and computing time.
Can mindfulness-based interventions improve outcomes in cognitive-behavioural therapy for chronic insomnia disorder in the general population? Systematic review and meta-analysis.

Cognitive-behavioural therapy for insomnia (CBT-I) is the recommended first-line therapy for adults with chronic insomnia disorder (ID), which is characterized by hyperarousal. Mindfulness-based interventions (MBIs) are protocols aimed at stress reduction based on non-judgmental attention control in the present moment. However, MBIs have been increasingly used without a clear scientific basis. The objective of this analysis was to examine if MBIs could be useful as a component of the CBT-I therapeutic system through a systematic review and meta-analysis of randomized controlled trials (RCTs) and non-randomized studies (NRS) searched in PubMed, PsycINFO, Cochrane and WoS. The Insomnia Severity Index (ISI) was the primary outcome, while the Pittsburgh Sleep Quality Index (PSQI) and a composite sleep variable (CSV) were secondary outcomes. Thirteen articles corresponding to nine studies (three pragmatic RCTs, three explanatory RCTs and three NRS) were included. The omnibus test found that MBIs had a small to medium effect size on ISI nearing signification when comparing active control groups in the pretest-posttest period [Δ = 0.44, p = 0.07], a medium, non-significant, effect size on PSQI [Δ = 0.52, p = 0.18], and a significant though small effect size on CSV [Δ = 0.05, p < 0.01]. No heterogeneity was found. The analysis could not demonstrate that MBIs, combined with CBT-I components in some studies, positively affected ID in the general adult population. This was probably due to the lack of pragmatic designs and suitable measuring instruments. Recommendations are made for designing further studies to address these issues.
T-S fuzzy modelling using advanced genetic algorithms

This paper introduces a soft-computing oriented approach to Takagi-Sugeno fuzzy modelling using the evolutionary principles. Genetic algorithms are applied to optimize fuzzy input variables space through genetic fuzzy clustering procedure and to identify the fuzzy model. Some advanced procedures e.g. individuals lifetime limitation and redundant genes application are used. The presented algorithm allows also the determination of the relevant inputs variables of fuzzy model from theirs potential candidates. To clarify the advantages of the proposed approaches the numerical example of modelling of fuzzy non-linear system is also introduced.
The Role of Lifestyle as a Mediator of The Influence of Financial Knowledge on Career Women’s Financial Behavior

Women's financial knowledge is lower than men's paying attention because women control 80% of financial management. How well behaved in managing finances is determined by the level of financial knowledge. This study aims to understand how financial behavior is influenced by the level of financial knowledge and the role of lifestyle. The study focused on career women. Methods of quantitative approach and primary data were used in the study—data collection techniques by distributing questionnaires. A purposive sampling technique determined the total sample of 120 career women in Surabaya. Data analysis test with Structural Equation Modelling (SEM) technique using Smart PLS analyst tool Version 3.0. After the data analysis test was carried out, the results proved that financial knowledge affects financial behavior, lifestyle affects financial behavior and the existence of intermediaries from the lifestyle on the influence of financial knowledge on financial behavior. This research implies that the higher the financial knowledge career women have, the better their financial behavior, and they can improve their lifestyles to form appropriate and directed financial behaviors. Keywords: Financial Behavior, Financial Knowledge, Lifestyle.
SPATIAL VARIABILITY OF POTATO YIELD BASED ON FOURIER TRANSFORM

The influence of soil properties on spatial yield variability of potato ( Solanum tuberosum L.) can be employed as a foundation for site-specific soil management. It is challenging to understand the mechanism of crop yield spatial variation. In this study, a Fourier transform-based spatial variation analysis method is proposed for potato yield. The current work investigated the relationship of soil properties (including texture, moisture, and nitrate-nitrogen) to the variability of potato yield on 28 ha center-pivot irrigated fields located in northwest China from 2015 to 2017. Statistics and geostatistics are applied to evaluate the spatial variability of potato yield and soil properties; correlation analysis, partial least squares regression (PLSR) and the Fourier transform-based spatial variation analysis method are applied to explore the driving factors of the spatial variability of potato yield. Compared with other soil factors, soil moisture content and potato yield had more similar spatial structure, with similar semi-variance model and parameters. A negative correlation between soil moisture content and yield has been found in the first two years. According to partial least squares regression (PLSR), soil properties can only explain 24%, 25%, and 3% of the potato yield variation in 2015, 2016, and 2017. However, the Fourier transform-based spatial variation analysis method indicated that about 80% of potato yield variation has been explained by soil texture (49%), soil moisture (30%), soil nitrate-nitrogen (10%), and other factors (10%). The contribution of multiple factors to yield spatial variation has been decomposed by the method based on Fourier transform. This method can be considered a new approach for studying spatial variation and a theoretical basis for precise field management.
Theory of high-dimensional liquids and glasses

The dynamics of liquids, regarded as strongly-interacting classical particle systems, remains a field where theoretical descriptions are limited. So far, there is no microscopic theory starting from first principles and using controlled approximations. At the thermodynamic level, static equilibrium properties are well understood in simple liquids only far from glassy regimes. Here we derive, from first principles, the dynamics of liquids and glasses using the limit of large spatial dimension, which provides a well-defined mean-field approximation with a clear small parameter. In parallel, we recover their thermodynamics through an analogy between dynamics and statics. This gives a unifying and consistent view of the phase diagram of these systems. We show that this mean-field solution to the structural glass problem is an example of the Random First-Order Transition scenario, as conjectured thirty years ago, based on the solution of mean-field spin glasses. These results allow to show that an approximate scale invariance of the system, relevant to finite-dimensional experiments and simulations, becomes exact in this limit.
Aptamer-Conjugated Gold Nanoparticles Targeting Human Epidermal Growth Factor Receptor 2 (HER2) for Cancer Theranostic, In Vitro Assays

: The human epidermal growth factor receptor 2 (HER2) is a transmembrane glycoprotein overexpressed in several solid tumors, including breast and prostate cancer. HER2 has been associated with aggressiveness, poor prognosis, resistance to therapy, and accelerated tumor growth. Recent advances in nanomedicine have shown potential for application in cancer detection. In this study, we designed a nanosystem (NS) based on gold nanoparticles (AuNPs) conjugated with a fluorescent HER2-specific aptamer to detect and treat HER2-positive cancer cells. The conjugate formation was characterized by UV-Visible spectroscopy, dynamic light scattering (DLS), and transmission electron microscopy (TEM). Then we evaluated the hemocompatibility and compared the cytotoxic effect between NS and trastuzumab in different cell lines. Fluorescence detection suggests that NS can specifically bind to cells with high HER2 expression. This preliminary study reveals the potential of aptamer-functionalized AuNPs as a theranostic tool in HER2 overexpressing cancer cells.
Approximation of random invariant manifolds for a stochastic Swift-Hohenberg equation

Random invariant manifolds are considered for a stochastic Swift-Hohenberg equation with multiplicative noise in the Stratonovich sense. Using a stochastic transformation and a technique of cut-off function, existence of random invariant manifolds and attracting property of the corresponding random dynamical system are obtained by Lyaponov-Perron method. Then in the sense of large probability, an approximation of invariant manifolds has been investigated and this is further used to describe the geometric shape of the invariant manifolds.
Enhancement of the Catalytic Effect on the Electrochemical Conversion of CO2 to Formic Acid Using MXene (Ti3C2Tx)-Modified Boron-Doped Diamond Electrode

The rising concentration of carbon dioxide (CO2) as one of the greenhouse gases in the atmosphere is a major source of worry. Electrochemical reduction of CO2 is one of many ways to convert CO2 gas into usable compounds. An electrochemical technique was applied in this study to reduce CO2 using a boron-doped diamond (BDD) working electrode modified with MXene (Ti3C2Tx) material to improve electrode performance. MXene concentrations of 0.5 mg/mL (MXene-BDD 0.5), 1.0 mg/mL (MXene-BDD 1.0), and 2.0 mg/mL (MXene-BDD 2.0) were drop-casted onto the BDD surface. MXene was effectively deposited on top of the BDD surface, with Ti weight loads of 0.12%, 4.06%, and 7.14% on MXene-BDD 0.5, MXene-BDD 1.0, and MXene-BDD 2.0, respectively. The modified working electrode was employed for CO2 electroreduction with optimal CO2 gas aeration. The existence of the MXene substance in BDD reduced the electroreduction overpotential of CO2. For the final result, we found that the MXene-BDD 2.0 electrode effectively generated the most formic acid product with a maximum reduction potential as low as −1.3 V (vs. Ag/AgCl).
Naïve Bayes Evidence Accumulation K-modes Clustering: A New Method for Classifying Binary Data and its application on real data of injecting drug users

BackgroundClustering is the method of classifying discrete data such as K-modes, and Naive Bayes classifier is the classification to predict the unknown real classes. In this research, we improve the K-modes results by applying the Evidence Accumulation (EA) method to keep the initial mode vector to use in the Naive Bayes EA K-Mode.MethodThe methods are applied to four real datasets, which the true classes are specified, for checking the external validity and purity of our methods. The free programming software R with package klaR for K-modes, EA, and package e1071 for Naive Bayes is used. In addition, the methods are applied to the data of Injecting Drug Users (IDU) national dataset with sample size 2546.ResultsThe EA K-modes algorithm applied to five real datasets then with the kept initial mode vector, rerun the K-modes. The results indicate the purity in the EA K-modes (0.544, 0.862, 0.914, 0.944, 0.625) has significant different with classic K-modes (0.497, 0.610, 0.404, 0.650, 0.625). Finally, we applied the Naive Bayes classifier with prior probability finds in EA K-modes. For K=2 Naive Bayes EA K-modes made better clustering (0.71, 0.873 against 0.625, 0.862 EA k-mode and 0.497, 0.61 K-mode). Discussion andConclusionIn this paper, we proposed Naive Bayes EA K-modes as a new method for clustering of binary data. Our new method leads to stable clustering compare with the previous studies. The Naive Bayes EA K-modes method improves the purity and establishes a better separation.
Efficacy of apatinib on advanced ovarian cancer patients who failed first and second-line chemotherapy

Purpose: To investigate the efficacy and safety of apatinib in the treatment of advanced epithelial ovarian cancer (EOC) patients who failed first and second-line chemotherapy. Methods: The clinical data of 100 patients diagnosed with advanced ovarian cancer were retrospectively analyzed. They were divided into two groups, with 50 patients in each group. One group was treated with apatinib mesylate (Apatinib group), while the other group was treated with gemcitabine (Gemcitabine group). Clinical efficacy, adverse reactions, and quality-of-life scores were were assessed, while the survival status of patients was recorded during follow-up. Results: After treatment, the objective response rate (ORR) and disease control rate (DCR) were 24.0 % (12/50) and 70.0 % (35/50) in Apatinib group, and 12.0 % (6/50) and 52.0 % (26/50) in Gemcitabine group. In terms of adverse reactions, the incidence of hand-foot syndrome and hypertension were significantly higher in Apatinib group than in Gemcitabine group, but the incidence of nausea and vomiting, anemia, neutropenia, and thrombocytopenia were significantly lower in Apatinib group than in Gemcitabine group (p < 0.05). Follow-up results revealed the median overall survival (OS) of patients to be 10.1 and 9.0 months, respectively, in Apatinib and Gemcitabine groups. Results of the log-rank test showed that OS in Apatinib group was significantly longer than that of Gemcitabine group. Conclusion: Apatinib demonstrates clear effectiveness and a superior safety profile than Gemcitabine in the management of patients with advanced ovarian cancer who did not respond effectively to multiple rounds of chemotherapy.
Analysis of Pore Structure in Cement Pastes with Micronized Natural Zeolite

The continuous development of urban areas around the world led to an increase in construction material use and demand, with concrete seeing significant market uptake. Although significant progress has been made to reduce the environmental impact of concrete, there is still a stringent need for improvement. One of the most widely used methods to reduce the environmental impact of the cement industry and the construction industry alike is the replacement of ordinary Portland cement (OPC) by supplementary cementitious materials (SCM). Aside from by-products of industry, SCMs could also come from natural sources. Taking into account the porous structure of zeolites and their contribution to the improvement of the mechanical and durability properties of cement-based materials, the analysis of pore structure in cement pastes incorporating micronized natural zeolite is deemed necessary. In this research, the OPC was replaced by zeolite in three different percentages: 10%, 20%, and 30% by mass. The evolution of pore structure was investigated by means of nuclear magnetic resonance relaxometry at the curing ages of 1, 7, and 28 days. The microstructure of cement pastes was assessed by scanning electron microscopy investigations at 1, 7, 14, 21, and 28 days. The obtained results show that smaller pore sizes are present in cement pastes containing zeolites during the first 7 days. However, at the age of 28 days, the reference mix exhibits a similar pore structure to the mix containing 10% micronized zeolite due to the presence of larger amounts of hydration products. Increasing the replacement percentage to 30% results in larger pores, as indicated by larger values of the relaxation time.
Water-injected all-dielectric ultra-wideband and prominent oblique incidence metamaterial absorber in microwave regime

We present a water-injected all-dielectric metamaterial that can offer an extremely wide bandwidth of electromagnetic absorption and prominent wide incident angle range. Different from conventional metal-dielectric based metamaterial absorbers, the absorption mechanism of the proposed all-dielectric metamaterial absorber is to take advantage of the dispersion of water, rather than electric or/and magnetic resonance, which thoroughly overcomes the defects of narrow bandwidth and oblique incidence from metal-dielectric based metamaterial absorber. The simulated absorption was over 90% in 8.1–22.9 GHz with the relative bandwidth of 95.5% when the incident angle reaches 60°, and the corresponding microwave experiment is performed to support the simulations. The obtained excellent absorption performance reveals a possible application of the proposed absorber, which can be exploited for electromagnetic stealth purposes, especially for electromagnetic stealth of sea targets.