Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical analysis on the effect of the vortex finder diameter and the length of vortex limiter on the flow field and particle collection in a new cyclone separator

Abstract There are many geometric and operational parameters that affect the performance of a cyclone separator, including the geometry and the length of the vortex within the cyclone. In this work, a Computational Fluid Dynamics calculation is presented to predict the cyclone performance and flow field of a new cyclone separator. The simulation was realized using Reynolds Stress Model (RSM) for the turbulent model and the Discrete Phase Model (DPM) for particle trajectories. The Rosin–Rammler method is used in numerical simulations to apply Particle Size Distribution (PSD). The velocity fluctuations are simulated using the Discrete Random Walk (DRW) method. Simulation results show that the reduced vortex finder diameter causes an increase in tangential velocity and collection efficiency but at the cost of pressure drop. It is also found that increasing the length of the vortex limiter will decrease the tangential velocity and decrease the pressure drop but can improve the collection efficiency. Results obtained that geometrical parameter influenced the performance of the new cyclone separator.
Distribution of Avalanches on the (n,k)-wheel

This paper deals with the sandpile model on the wheel, a lattice with particular boundary conditions. It presents how transducers applied to the language of recurrent configurations of the abelian sandpile model can help determining critical exponents of the underlying model. We present exact results for the avalanche distribution on the simple wheel, and give some clues for the multiple one where strange phenomena happen.
Bayesian inference for Birnbaum–Saunders distribution and its generalization

ABSTRACT We present a Bayesian approach for parameter inference of the Birnbaum–Saunders distribution [Birnbaum ZW, Saunders SC. A new family of life distributions. J Appl Probab. 1969;6:319–327], as well as the generalized Birnbaum–Saunders distribution developed by Owen [A new three-parameter extension to the Birnbaum–Saunders distribution. IEEE Trans Reliab. 2006;55:475–479], in the presence of random right-censored data. To handle the instance of commonly occurred censored observations, we utilize the data augmentation technique [Tanner MA, Wong WH. The calculation of posterior distributions by data augmentation. J Amer Statist Assoc. 1987;82(398):528–540] to circumvent the arduous expressions involving the censored data in posterior inferences. Simulation studies are carried out to assess performance of these methods under different parameter values, with small and large sample sizes, as well as various degrees of censoring. Two real data are analysed for illustrative purpose.
Diversity, nutrient contents and production of forage plants in an integrated cattle livestock-oil palm plantation in East Kalimantan, Indonesia

Abstract. Daru TP, Sunaryo W, Pagoray H, Suhardi, Mayulu H, Ibrahim, Safitri A. 2023. Diversity, nutrient contents and production of forage plants in an integrated cattle livestock-oil palm plantation in East Kalimantan, Indonesia. Biodiversitas 24: 1981-1989. The integration of cattle livestock rearing into oil palm plantations delivers various benefits. The livestock management can reduce the weeds and add organic nutrients to the plantations, while the understorey vegetation grow under the oil palm trees can be used as forage for the livestock. Several studies reported that the age of oil palm plantations affects forage production in integrated cattle livestock palm oil plantations. From an ecological standpoint, the diversity of plant species and the level of forage production varies based on the age of the oil palm trees. Therefore, this study aimed to determine the diversity, composition, nutrient contents, forage production and carrying capacity of understorey vegetation in oil palm plantations at different ages of 3, 7, and 10 years in Paser District, East Kalimantan Province, Indonesia. A total of 29 plant species from 13 families were found under oil palm plantations, of which 14 species (48.27%) are palatable to cattle livestock. The results showed that the diversity of plant species decreased along with the increasing age of oil palm trees, but they were able to meet the needs of livestock. In the 3, 7, and 10-year-old plantations, the diversity index (H') was 1.491, 1.634, and 2.099, with evenness index (E) of 0.538, 0.589 and 0.757; as well as the dominance index of 0.15, 0.30, and 0.18, respectively. Narrow-leaved forage plant species dominated the understorey vegetation and increased along with the age of oil palm plantations due to the ability to adapt to environmental conditions. The low forage production under the different ages of oil palm plantations caused a low carrying capacity to support livestock feed, namely 0.87, 0.56, and 0.36 Animal Unit (AU) ha-1 per year in the 3, 7, and 10-year-old plantations. Nonetheless, Crude Protein (CP) and total digestible nutrients can meet the basic life needs of livestock. The results of this study imply that oil palm plantations in Paser District can be applied as livestock rearing with different carrying capacities based on the different ages of oil palm plantations.
Exploring the Potential of Halloumi Second Cheese Whey for the Production of Lactic Acid Cultures for the Dairy Industry

Production of halloumi cheese in Cyprus has increased rapidly over the last decade since the popularity of the cheese is growing. This results in excess production of whey streams that pose serious environmental concerns and are difficult to manage. In our study, the poorly investigated second cheese whey (SCW) generated after the extraction of anari, a by-product of halloumi cheese manufacture, was examined for dairy industry lactic acid bacteria (LAB) culture production. The LAB studied were all initially isolated from SCW. These LAB were molecularly identified and characterized in an attempt to explore their potential use as starter cultures for the dairy industry. A total of 11 Gram-positive and catalase-negative isolates were identified, belonging to four different species/subspecies: Lactobacillus delbrueckii subsp. lactis, Lactobacillus delbrueckii subsp. jakobsenii, Lactobacillus leichmannii and Lactobacillus crispatus. Lactose/galactose utilization tests demonstrated species-specific differences in galactose and lactose catabolism. Interestingly, culturing the selected isolates in SCW supplemented with skimmed milk (30% total solids) improved their freeze-drying tolerance (75–91% survival rate depending on the species). Moreover, isolates in vacuum-packed powders maintained viability and metabolic activity over 3-month storage at 4 °C.
TruFLaaS: Trustworthy Federated Learning as a Service

The increasing availability of data generated by Internet of Things (IoT) and Industrial IoT (IIoT) devices, as well as privacy and law regulations, have significantly boosted the interest in collaborative machine learning (ML) approaches. In this direction, we claim federated learning (FL) as a promising ML paradigm where participants collaboratively train a global model without outsourcing on-premises data. However, setting up and using FL can be extremely costly and time consuming. To effectively promote the adoption of FL in real-world scenarios, while limiting the overhead and knowledge of the underlying technology, service providers should offer FL as a Service (FLaaS). One of the major concerns while designing an architecture that provides FLaaS is achieving trustworthiness among involved typically unknown participants. This article presents a blockchain-based architecture that achieves trustworthy FLaaS (TruFLaaS). Our solution provides trustworthiness among third-party organizations by leveraging blockchain, smart contracts, and a decentralized oracle network. Specifically, during each FL round, the service provider supplies a sample, without overlapping, of its validation set to validate all partial models submitted by clients. By doing so, poor models, which tend to degrade performance or introduce malicious backdoors, are identified and discarded. Due to the transparency of the blockchain, not changing the validation set would enable participants to forge a malicious partial model that passes the validation phase. We evaluate our approach over two well-known IIoT data sets: the reported experimental results show that TruFLaaS outperforms the state-of-the-art literature solutions in the field.
Multi-Objective Based Generation Expansion Planning for Utility Power System of Tamil Nadu State Considering Recuperation of Older Power Plants

Abstract Generation Expansion Planning (GEP) is a problem that comprises multiple contradictory features while planning to construct new generating units. It must be solved by considering cost, reliability and environmental emission. Hence the mathematical representations have been developed to be accurate, and to improve the understanding of the multifaceted and contradictory aspects of the GEP problem. In this study, the Multi-Objective Comprehensive Learning Particle Swarm Optimization (MOCLPSO) algorithm is implemented for solving Multi-Objective GEP (MOGEP) problem. The objectives such as minimization of overall cost, decrement of the pollutant emission and enhancement of reliability have been considered by considering the constraints. The real-world MOGEP problem has been solved for seven-year (from the year 2020 to 2027) and fourteen-year (from the year 2020 to 2034) planning span for the utility power system of Tamil Nadu state, India. The problem is solved for four different cases with the consideration of retirement and recuperation of the older generating units. coal, gas, oil, nuclear, hydel, wind, Solar-photovoltaic (SPV) and biomass power plants were considered in this planning study. The results establish the competence of MOCLPSO to produce well-spread Pareto optimal non-dominated solutions of the MOGEP problem.
Levitation force approximation of YBCO hybrid superconductors using critical-state theory and partitioning method

Introducing the second-generation coated conductor tapes (2G tapes) can enhance the performance of yttrium-barium-copper-oxide bulk superconductors (SCs) in terms of force, damping, and shape diversity. In this study, we investigate a hybrid SC that utilizes 2G tapes wrapped around the pivotal bulk component to achieve performance improvements. We also present a straightforward method, based on critical-state theory, to approximate the levitation force of this hybrid SC. This method characterizes the stack of tapes as an equivalent bulk with higher anisotropy and applies a fitting Kim model as an integrated expression of J c (H) and J c anisotropy. The partitioning method divides the SC into several isolated elements where the external field is approximately uniform within each sub-volume. Comparisons of calculated results with experiments indicate that this method can predict levitation properties with reasonable accuracy in just a few seconds. Furthermore, we propose two geometries of hybrid SC, namely, width-hybrid, and height-hybrid SC, for practical applications. Among them, the width-hybrid form exhibits higher efficiency in levitation. Our findings highlight the importance of applying the coated conductor stack when the magnetic field orientation is perpendicular to the a–b planes.
Optical In Situ Monitoring of Acid Mine Drainage Remediation: Laboratory and Model Investigation

A permeable reactive barrier (PRB) can be deployed to remediate acid mine drainage. The performance of a PRB material under different boundary conditions (pH, flow velocity, and sulfate concentration) was investigated in a series of column experiments applying in‐situ optical sensing methods for pH and oxygen detection. The reactive material consisted of organic components (compost, wood, and coconut shell) mixed with calcium carbonate and fine gravel. The input concentrations were around 1000 mg/L for iron and 3000 mg/L for sulfate, and the pH value was 6.2. The remediation efficiency of iron was 14.6% and of sulfate 15.2%, but was expected to scale up when moving to a field‐site PRB with greater thickness. The iron and sulfate removal was influenced by decreasing the flow velocity and increasing the sulfate input concentration and the pH value. In an experiment with low pH boundary conditions (pH = 2.2), acidity was neutralized in the PRB by calcium carbonate during an experiment duration of 47 days. The modeling program MIN3P was used to create a simulation of the laboratory experiments. This helps to design parameters, for example, the residence time in the PRB, which is necessary for close to 100% remediation efficiency. This study shows the application of optical oxygen and pH monitoring in PRBs. In this context, they can be used to monitor the stability of a PRB for the remediation of acid mine drainage (AMD).
Use of Beta-Carotene Pigment to Improve Food Product Chemical and Sensory Qualities: A Review

Beta-carotene is a pigment that occurs widely and abundantly in nature. Beta-carotene can be found in some fruits and vegetables. Commonly, beta-carotene consistently bonds to other carotenoid compounds. Beta-carotene is a powerful colorant with beneficial effects on human health due to its ability to radical scavenging. Beta-carotene is obtained through the process of extraction with suitable solvent. The extraction method influenced the profile and quality of beta-carotene. The sonochemical approach using ultrasound, microwaves, and ohmic heating is eco-friendly and helps decrease the amount of solvent used, reduce the extraction time, increase the yield of beta-carotene from the sources, and increase the efficiency of the food applied. It is easier for consumers to accept natural dyes with high stability and efficiency. The present review describes detailed information about the quality of beta-carotene extract, isolation methods, and factors that affect the efficiency of natural food colorants applied to food products, which is helpful for the further development of food product formulations.
Uncertainty quantification via sparse polynomial chaos expansion

This chapter proposes a method for sparse polynomial chaos (PC) approximation of highdimensional stochastic functions based on non-adapted random sampling. We modify the standard 1-minimization algorithm, originally proposed in the context of compressive sampling, using a priori information about the decay of the PC coefficients, when available, and refer to the resulting algorithm as weighted 1-minimization. We provide conditions under which we may guarantee recovery using this weighted scheme. Numerical tests are used to compare the weighted and non-weighted methods for the recovery of solutions to two differential equations with high-dimensional random inputs: a boundary value problem with a random elliptic operator and a 2-D thermally driven cavity flow with random boundary condition.
Relevance via decomposition

We report on progress and an unsolved problem in our attempt to obtain a clear rationale for relevance logic via semantic decomposition trees. Suitable decomposition rules, constrained by a natural parity condition, generate a set of directly acceptable formulae that contains all axioms of the well-known system R, is closed under substitution and conjunction, satisfies the letter-sharing condition, but is not closed under detachment. To extend it, a natural recursion is built into the procedure for constructing decomposition trees. The resulting set of acceptable formulae has many attractive features, but it remains an open question whether it continues to satisfy the crucial letter-sharing condition.
Typification of the North American species of Trillium subg. Trillium (Melanthiaceae: Parideae)

Here we provide type information and synonymy for the accepted North American species of Trillium subg. Trillium and notes on the distribution and character variation for some species. Lectotypes are designated for T. flexipes, T. rugelii and T. vaseyi. We also lectotypify the names T. cernuum var. declinatum f. billingtonii and T. cernuum var. declinatum f. walpolei, which have been associated with both T. cernuum and T. flexipes; T. cernuum f. tangerae; and T. rhomboideum var. album (=T. rugelii), which has often been associated with T. erectum.
Silver and Culinary MSMEs Assistance in the Purbayan Tourism Village through Synergized Promotional Design

Purbayan Tourism Village is one of 17 tourist villages that received a decree from the Yogyakarta City Government, located in Kotagede. This area has a unique cultural potential that exhibits both historical and cultural wealth in the form of traditions that exist even today. These traditions include traditional culinary arts, silversmithing and batik craft. However, the potential of this cultural heritage is not visible when compared to the development of the Purbayan Tourism Village. Promotional efforts from business groups and tourism are lacking synergy. Based on these problems, this community service activity aims to assist Micro, Small and Medium Enterprises (MSMEs) to design synergistic tourism promotions. MSMEs that became community service partners are Kopi Lumbung Mataram culinary shop and Studio 76 silver art school. The implementation of this activity uses a user-centered approach to design thinking. In this method, partners as users are actively involved in Focus Group Discussions and workshops on content design and tourism promotion strategies in synergy. The activities described in this paper are understanding, observing, defining point of view, and ideation phase of design thinking. The activity resulted in the promotion concept of Studio 76 silver art school in the form of a draft booth design for silver making exhibitions and photography designs for culinary products of Warung Kopi Lumbung Mataram. Promotion synergy between the two MSMEs is carried out by combining the two tourism service products into an interactive exhibition. The collaboration of these MSME’s aims to promote and increase the number of visitors to the area.
CD4+ T Cell Counting by Impedance Measurement on a Chip with Fluidic Electrodes

Abstract A practical label-free method for counting CD4+ T cells is proposed on the basis of a microfluidic chip with fluidic electrodes. With the help of hydrodynamic focusing, two sheath flows of KCl solution, serving as electric conductors to replace solid metal electrodes, are used to squeeze the cell suspension. By measuring the electrical impedances between the fluidic electrodes, a linear relationship is found between the logarithmic value of cell concentration and the impedance value (R2 = 0.97). The detection limit of CD4+ T lymphocytes reaches as low as ∼10 cells·µL−1, Both the CD4+ T cell concentration of the nude mice group and that of the normal group were counted to further test the function of the chip system, which indicated that there existed significant differences between these groups, showing the approach is valid for identifying immunodeficiency.
The odd Birnbaum-Saunders regression model with applications to lifetime data

We introduce a new three-parameter lifetime model called the odd Birnbaum-Saunders distribution. We construct an extended regression model based on the logarithm of the new distribution, which can be applied to censored data and be more effective in analyzing real data. Maximum likelihood estimation of the model parameters of the new regression model is discussed for complete and censored samples. A modified deviance residual is proposed to assess departures from the log-odd Birnbaum-Saunders error assumption and to detect outlying observations. Real data sets are analyzed for illustrative purposes.
RECOMMENDING JAVA API METHODS BASED ON PROGRAMMING TASK DESCRIPTIONS BY NOVICE PROGRAMMERS

The overwhelming number of Application Programming Interfaces (APIs) and the lexical gap between novices’ programming task descriptions in their search queries and API documentations deter novice programmers from finding suitable API methods to be used in their code. To address the lexical gap, this study investigated novice programmers’ descriptions of their programming tasks and used the found insights in a novel approach (APIFind) for recommending relevant API methods for the programming tasks. Queries written by novice programmers were collected and analysed using term frequency and constituency parsing. Four common patterns related to the return type of an API method and/or API class that provides an implementation for the API method were found and captured in the Novice Programming Task Description Model (NPTDM). APIFind uses NPTDM that was operationalised in a rule-based module, a WordNet map of API word-synonyms, a programming task dataset comprising the collected queries, a Java API class and method repository, a Stack Overflow Q&A thread repository, and the BM25 model in Apache Lucene, to produce the top-5 API methods relevant to a search query. Benchmarking results using mean average precision @ 5 and mean reciprocal rank @ 5 as the evaluation metrics show that APIFind outperformed BIKER and CROKAGE when the novice queries test dataset was used. It performed slightly better than BIKER but slightly worse than CROKAGE when the reduced BIKER test dataset was used. In conclusion, common patterns exist in novice programmers’ search queries and can be used in API recommendations for novice programmers.
Addressing challenges in simultaneous implementation of regional head elections during the Covid-19 Pandemic

This study describes and evaluates the implementation of the simultaneous continuation of local elections in 2020 and the challenges faced during the ongoing COVID-19 pandemic in Indonesia. This pandemic has disrupted the economic and societal order, including the governance aspect, which encompasses the electoral process for selecting local leaders to continue the previous simultaneous local elections held in the preceding year. The Indonesian government has decided to proceed with the local elections that were initially postponed. Several other countries worldwide have also chosen to hold general elections, although some countries have opted to delay them. This study adopts an ex post facto research design with a qualitative approach. The research object is implementing the simultaneous continuation of local elections in Bantul Regency, DIY Province, in 2020, with the selection of research subjects conducted purposively. Data collection is carried out through interviews and documentation. This paper highlights various challenges encountered during the implementation of local elections in 2020 while Indonesia was still amid the COVID-19 pandemic.
Simulation for embedded-defects foam terahertz images of active bifocal terahertz imaging system at 0.22 THz based on geometric optics

We simulate the measurements of an active bifocal terahertz imaging system to reproduce the ability of the system to detect the internal structure of foams having embedded defects. Angular spectrum theory and geometric optics tracing are used to calculate the incident and received electric fields of the system and the scattered light distribution of the measured object. The finite-element method is also used to calculate the scattering light distribution of the measured object for comparison with the geometric optics model. The simulations are consistent with the measurements at the central axis of the horizontal stripe defects.