Miracle-dz/UniFAR-FTUs huggingface dataset:
Granular Computing Approach to Evaluate Spatio-Temporal Events in Intuitionistic Fuzzy Sets Data through Formal Concept Analysis

Knowledge discovery through spatial and temporal aspects of data related to occurrences of events has many applications in digital forensics. Specifically, in electronic surveillance, it is helpful to construct a timeline to analyze information. The existing techniques only analyze the occurrence and co-occurrence of events; however, in general, there are three aspects of events: occurrences (and co-occurrences), nonoccurrences, and uncertainty of occurrences/non-occurrences with respect to spatial and temporal aspects of data. These three aspects of events have to be considered to better analyze periodicity and predict future events. This study focuses on the spatial and temporal aspects given in intuitionistic fuzzy (IF) datasets using the granular computing (GrC) paradigm; formal concept analysis (FCA) was used to understand the granularity of data. The originality of the proposed approach is to discover the periodicity of events data given in IF sets through FCA and the GrC paradigm that helps to predict future events. An experimental evaluation was also performed to understand the applicability of the proposed methodology.
Predictive maintenance: assessment of potentials for residential heating systems

ABSTRACT Predictive Maintenance (PdM) solutions can predict and consequently minimize downtimes. Concerning high implementation cost of PdM solutions for manufacturing systems as well as for sold systems operating in the field, e.g. Building Energy Systems in residential heating (RH), it is unclear under which conditions potentials outweigh investment. In a previous scientific publication, the authors proposed a methodology to systematically assess potentials and benefits of to-be-developed PdM solutions in manufacturing processes. The utilization of the methodology for RH systems is promising, but requires a suitable adaptation to its individual context. Apart from quantifying the benefit compared to investment for PdM solutions, the context of RH is fundamentally different from manufacturing. As a major difference, the systems are not located in-house, but in the field at the customers’ site. This leads to increased challenges in terms of lacking customer and system feedback and data availability. Therefore, this paper addresses the optimization, transfer, and adaptation of the previously developed methodology to RH systems. Additionally, this paper includes baseline information regarding maintenance and RH and an exemplary application of the optimized and adapted methodology that supports the reliability department of BOSCH Thermotechnology for quantifying the potentials of PdM solutions in the field of RH.
High- and Low-Fidelity Investigations of Flexible Propeller Blades

Highand low-fidelity fluid-structure interaction analyses of flexible propeller blades are compared in this paper. High-fidelity fluid-structure interaction analysis are performed using coupled computational fluid dynamics and computational structural dynamics commercial codes, whereas low-fidelity analysis are based on coupled extended blade element momentum model and nonlinear beam theory. Three selected flexible propeller blade geometries are analyzed: straight, backward swept, and forward swept blades. The backward swept and forward swept blades are designed to emphasize the influence of the blade flexibility on the blade performance. A straight blade was selected in order to serve as a reference. In the course of the study, integral thrust and breaking power as well as their respective distributions along the blades are compared at different advancing ratios. Blade deflections are also analyzed.
Asymptotic enumeration in pattern avoidance and in the theory of set partitions and asymptotic uniformity

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy ASYMPTOTIC ENUMERATION IN PATTERN AVOIDANCE AND IN THE THEORY OF SET PARTITIONS AND ASYMPTOTIC UNIFORMITY By Micah Spencer Coleman May 2008 Chair: Miklós Bóna Major: Mathematics We demonstrate asymptotic properties of some popular combinatorial objects, including a partial answer to an open problem posed by Michael Atkinson and a general result on conditions for the coincidence of asymptotic normality and uniformity. For a permutation π ∈ Sn written in one line notation as π = π1π2 · · · πn, we say π contains the pattern σ ∈ Sm if there exists a subsequence πi1 · · · πim such that for all 1 ≤ j, k ≤ m it holds that πij < πik if and only if σj < σk. Denote by sn(τ, σ) the number of n-permutations which do not contain either of the patterns σ and τ . Letting σ′ denote the pattern (m + 1)σ, we construct classes of patterns for which the limit supremum of sn(123 · · · r, σ) agrees with the limit supremum of sn(123 · · · r, σ′)1/n for several classes of patterns σ. We also construct classes of permutations which avoid 123 · · · r and contain many patterns. Many combinatorial sequences are of the form (an,k) where n ranges over the non-negative integers N and, for each n, there exists m = m(n) such that k ranges from 1 to m. We call such a sequence a combinatorial distribution. Many combinatorial distributions, upon rescaling, approach in distribution the normal distribution as n grows to infinity, a phenomenon we call asymptotic normality. A combinatorial distribution is said to be asymptotically uniform if, for each positive integer q and each residue class modulo q, the sum of coefficients an,k with k ≡ r (mod q) approaches 1/q as n grows to infinity. We call this asymptotic uniformity. We prove that if the generating polynomials
Developing a motion control system for a robotic platform based on laser ranging methods (LiDAR)

The motion control system of the robotic platform should design a route and build a map of the platform’s real-time movement. The authors have developed a system for controlling the movement of a robotic platform in rows of garden plantings based on the technology of measuring distances by emitting light with an optical range rangefi nder LiDAR sensor. They have obtained a program code for planning the path of travel and setting the points of the travel trajectory in the Python programming language in the Ubuntu operating system (the Rviz visualization environment). To fi nd the optimal trajectory, they have applied an algorithm for traversing the graph and fi nding the optimal path. As a result, they have designed a robotic platform equipped with a LiDAR Velodyne Puck sensor (VLP-16) and a Benewake TFmini Plus rangefi nder measuring in real time the distance between the robotic platform and the apple tree model via a serial port (COM port). The accuracy of the robotic platform travel was evaluated under laboratory conditions. The experiment was conducted with the use of Super Lamp Holder SLH3 45W 220v 5500K RoHS fl uorescent discharge lamps, the illumination level varied from 10000 to 110000 lux and was controlled with the help of an Uprtek MF250N pulse spectrometer. The factorial experiment revealed the most effi cient travel mode of the robotic platform along the given trajectory: travel speed - 2.5 km/h; illuminance - 109600 lux; distance to the tree - 0.5 m. Positioning of the robotic platform relative to each tree in the rows of plantations and autonomous performance of basic technological operations with a deviation from the specifi ed trajectory of not more than 1.5 to 2 cm meet the agrotechnical requirements for monitoring of orchard plantations, application of plant protection agents, harvesting of fruit crops, and contour pruning of tree crowns.
Screening Candidate Genes at the Co Locus Conferring to the Columnar Growth Habit in Apple (Malus × Domestica Borkh.)

The columnar growth trait of apple (Malus × domestica Borkh.) is genetically controlled by the Columnar (Co) locus on 10 chromosomes, including several candidate genes. Except for MdCo31, other candidate genes at the Co locus are less elucidated. In this study, a strategy of step-by-step screening was adopted to select 11 candidate genes by experimental cloning, transient expression, and genetic transformation. There existed several SNPs in four genes by sequence alignment in columnar and non-columnar apples. Two genes were detected in the nucleus and three genes in the cell membrane, other genes were located in multiple cellular structures by subcellular location. Ectopic expression demonstrated that more branching occurred in MdCo38-OE by upregulating NtPIN1 and NtGA2ox and enlarged leaves in MdCo41-OE tobaccos by upregulating NtCCDs. Transcripts of MdCo38 and MdCo41 were associated with the Co genotypes in apples. The results indicate that MdCo38 and MdCo41 are involved in the columnar growth phenotype in apple, probably through altering polar auxin transport, active gibberellin levels, and strigolactone biosynthesis.
Rapid algorithm for left(right) entropy of character strings based on external sort

Left(right) entropy has wide applications in natural language processing,but there is no effective algorithm to implement rapid calculation of them for lots of strings in large-scalce corpus.This paper puts forward a rapid method for left(right) entropy.For calculating entropy of distinct length of strings,extracting all strings with fixed length in corpus is the first step,and these extracted strings are sorted and merged by external sort method.Then the files of string frequency-provision are constructed by removing the suffix or prefix of each string respectively.At last,the left(right) entropy is calculated by employing frequency comparison of strings in files.According to analyses and experiments,the computational burden of this method has a linear relationship with the size of corpus and it is suitable for the calculations of huge amount of strings in large-scale corpus.
Enhancement of second-order optical nonlinearities and nanoscale periodic domain patterning in ferroelectric boron-substituted aluminum nitride thin films

: The discovery and development of CMOS-compatible, nonlinear optical materials is essential to produce integrated photonic devices with advanced functionalities. AlN is a strong candidate for on-chip device demonstration due to its intrinsic second-order optical nonlinearities, large bandgap, and well-established fabrication techniques. However, AlN is not easily phase matched for the largest coefficient d 33 ; the coefficients that could potentially be dispersion phase-matched, d 31 and d 15 , have weak nonlinearities. This work investigates ferroelectric Al 1 − x B x N (x = 0 to 0.11) for viability as a large bandgap nonlinear optical material with unique suitability towards ultraviolet light generation using second harmonic generation. The linear and nonlinear optical properties are characterized accounting for material anisotropy. With increasing B concentration, a large enhancement from near negligible values to d 31 = 0.9 ± 0.1 pm/V and d 15 = 1.2 ± 0.1 pm/V is observed. This compares favorably to other large bandgap materials like β -Ba(BO 2 ) 2 , where the largest nonlinear coefficient is d 22 ∼ 2.3 pm/V at 800 nm. This is accompanied by a change in the bandgap from 6.1 eV to 5.8 eV as B substitution goes from 0 to 11%. A periodically poled, quasi-phase-matched ferroelectric domain pattern with 400 nm domain size and a wall roughness of < 16 nm is demonstrated.
Mindfulness and Subjective Well-Being of Indian University Students: Role of Resilience during COVID-19 Pandemic

The coronavirus (COVID-19) pandemic is presently a global health issue that negatively affects the mental health and well-being of students globally. The latest investigations have recognized the role of mindfulness in individual subjective well-being. This study explores the mediating role of resilience in the overall relationship between mindfulness and subjective well-being among Indian university students during the COVID-19 pandemic. The data was collected between 10 August 2020 to 24 October 2020 via a self-administered questionnaire from 589 university students in India. Results revealed that resilience has a partial mediating role between mindfulness and subjective well-being. The results substantiate that resilience has an important role in mindfulness, exercising its advantageous effects on mental health of the students in higher education institutions. This research adds to the knowledge base of mindfulness and subjective well-being of university students, especially in contingent times. Lastly, the study contributes to the existing mindfulness theory.
A Research on Blockchain Technology: Urban Intelligent Transportation Systems in Developing Countries

Blockchain technology has been widely used in finance, transportation, education, medical treatment, network security, management science, and other industries due to its decentralization, high reliability, and traceability characteristics. Unlike other studies on Urban Intelligent Transportation Systems (UITS) in the past, we present a model framework of the Urban Intelligent Transportation Systems (UITS) applied by blockchain in developing countries. After a detailed elaboration of the situation of three representative Urban Intelligent Transportation Systems (UITS) in China, blockchain technology has been applied to build a new architecture model of the big data platform for urban intelligent transportation, as well as the design concept and conceptual model for the new generation of the Urban Intelligent Transportation Systems (UITS) in developing countries. Finally, this paper elaborates on the critical direction of future development, areas of concern, and open research challenges, which researchers and urban intelligent transportation designers could explore to further advance in this field.
Incidence, Severity, and Prevalence of Sorghum Diseases in the Major Production Regions in Niger

Sorghum ranks second to pearl millet as the most important cereal in Niger and is used primarily for food, feed, and other uses. During the 2022 growing season, 96 fields from the five major sorghum production regions of Dosso, Maradi, Tahoua, Tillabéri, and Zinder were surveyed for foliar and panicle diseases. In each field, 40 plants were assessed using a W-shaped pattern to cover the whole field. A total of 19 diseases, including leaf blight, anthracnose, long smut, zonate leaf spot, bacterial leaf stripe, oval leaf spot, and rough leaf spot were documented. Leaf blight (100%) was detected in all the fields surveyed. In the regions of Dosso and Zinder, anthracnose was found in all the surveyed fields while oval leaf spot was detected in all surveyed fields in Maradi and Zinder. The highest mean incidence of leaf blight (95%) was recorded in the regions of Tahoua and Zinder while oval leaf spot (80%), anthracnose (56%), and gray leaf spot (25%) were highest in Maradi region. The highest mean severities of leaf blight (30%), long smut (29%), grain mold (18%), and anthracnose (13%) were recorded in Maradi region. The severity of head smut was 100% in all the regions where the disease was observed. Fields with incidence of 90% and above identified during the survey are considered as ‘hot spots’ for disease resistance screening. This work is significant because the information generated by the study can be utilized by sorghum workers, students, funding agencies and government officials to prioritize research projects.
STUDY ON THE APPLICATION OF ELEMENT FREE GARLERKIN METHOD IN LINEAR-ELASTIC FRACTURE MECHANICS

An efficient element free Galerkin method is given for simulation of crack propagation. The modified moving least square(MLS) approximation, for implementing the essential boundary conditions, is given by establishing the relationship between the nodal value and the generalized displacement. The proposed method eliminates the shortcomings of Lagrange multipliers and penalty functions typically used in element free Galerkin method. As a consequence, the essential boundary conditions can be imposed directly at nodes. By using the theory of linear elastic fracture mechanics,a new type of weight function basing on t-distribution and partially enriched basis function, analysis of stress intensity factors and crack propagation is given for finite plates with single edge crack and with a mixed-mode crack in tensile-shear state, respectively. Without the connectivity information of elements, the burdensome remeshing, which is used in finite element method, is avoided in the present meshless method. The analysis of crack propagation is dramaticlly simplified. The examples reveal the effectiveness of the present method.
Impact of NOx and NH3 Emission Reduction on Particulate Matter across Po Valley: A LIFE-IP-PREPAIR Study

Air quality in Europe continues to remain poor in many areas, with regulation limits often exceeded by many countries. The EU Life-IP PREPAIR Project, involving administrations and environmental protection agencies of eight regions and three municipalities in Northern Italy and Slovenia, was designed to support the implementation of the regional air quality plans in the Po Valley, one of the most critical areas in Europe in terms of pollution levels. In this study, four air quality modelling systems, based on three chemical transport models (CHIMERE, FARM and CAMx) were applied over the Po Valley to assess the sensitivity of PM2.5 concentrations to NOx and NH3 emission reductions. These two precursors were reduced (individually and simultaneously) from 25% up to 75% for a total of 10 scenarios, aimed at identifying the most efficient emission reduction strategies and to assess the non-linear response of PM2.5 concentrations to precursor changes. The multi-model analysis shows that reductions across multiple emission sectors are necessary to achieve optimal results. In addition, the analysis of non-linearities revealed that during the cold season, the efficiency of PM2.5 abatement tends to increase by increasing the emission reductions, while during summertime, the same efficiency remains almost constant, or slightly decreases towards higher reduction strengths. Since the concentrations of PM2.5 are greater in winter than in summer, it is reasonable to infer that significant emission reductions should be planned to maximise reduction effectiveness.
A constrained framework based on IBLF for robot learning with human supervision

Abstract Dynamical movement primitives (DMPs) method is a useful tool for efficient robotic skills learning from human demonstrations. However, the DMPs method should know the specified constraints of tasks in advance. One flexible solution is to introduce the human superior experience as part of input. In this paper, we propose a framework for robot learning based on demonstration and supervision. Superior experience supplied by teleoperation is introduced to deal with unknown environment constrains and correct the demonstration for next execution. DMPs model with integral barrier Lyapunov function is used to deal with the constrains in robot learning. Additionally, a radial basis function neural network based controller is developed for teleoperation and the robot to track the generated motions. Then, we prove convergence of the generated path and controller. Finally, we deploy the novel framework with two touch robots to certify its effectiveness.
Peristomal Pseudoverrucous Lesions: A Rare Skin Complication of Colostomy

A 56-year-old female patient with colostomy presented with skin-colored cobblestone and verrucous asymptomatic papules on her peristomal skin for three months; she was referred to dermatology. Histopathology revealed irregular acanthosis, tongue-like extension of rete ridges of mature squamous epithelium without atypical morphology, hyperkeratosis, and inflammation of the skin. The histopathologic appearance was evaluated as compatible with pseudoepitheliomatous hyperplasia. No signs of malignancy, fungus, or koilocytes were found. The lesions were diagnosed as pseudoepitheliomatous hyperplasia by clinical and histopathologic findings. In this case report, we review pseudoepitheliomatous hyperplasia associated with colostomy.
Connotations of Animal Metaphors in the Jordanian Context

Purpose. This paper examines the connotations of the most common ten animal metaphors in the Jordanian context as perceived by Jordanian Arabic speakers. Methods. The data were collected in three stages. First, the principal researcher shared a post on his Facebook account in which he asked his Jordanian-Arabic speaking virtual friends to report in a comment the most common animal metaphors they use. The researchers compiled 115 comments/responses with 1106 animal metaphor tokens. Second, the received tokens were used to identify the most common animal metaphors. Third, in order to identify the set of connotations of each animal metaphor, the researchers distributed a questionnaire to 137 (43 males and 94 females) students at The University of Jordan in which the respondents were asked to report when each of them tends to use each animal metaphor and for what connotations. Based on the received responses, a preliminary list of connotations was prepared. Finally, the proposed connotations were subjected to a validation process by two Jordanian-Arabic speaking linguists from the Department of English at the University of Jordan. Most of their judgments were compatible with those of the researchers and when there was an overlap, amendments were made to amalgamate the connotations together. Results. The findings show that the ten most common animal metaphors in the Jordanian context are (1) X IS A MONKEY, (2) X IS A DONKEY, (3) X IS A COW, (4) X IS A SNAKE, (5) X IS A DOG, (6) X IS A PIG, (7) X IS A BEAR, (8) X IS A DUCK, (9) X IS AN OWL, and (10) X IS A DEER. They have a total of 39 connotations. X IS A MONKEY is used to convey five connotations, the most common of which is hyperactivity. As for X IS A DONKEY, it has four connotations with stupidity being its most common connotation. X IS A COW has six connotations and it is mainly associated with obesity, especially when referring to females. X IS A SNAKE connotes being toxic and deceitful. With regard to X IS A DOG, it is associated mostly with ill-mannerisms. X IS A PIG has three connotations and it is mostly linked with being deceitful. As for X IS A BEAR, it has four connotations with its most frequent connotation being fat. X IS A DUCK has three connotations and it is associated mostly with being pretty with a beautiful body. X IS AN OWL has three connotations and it is linked mostly with being pessimistic. Finally, X IS A DEER has three connotations with being characterized by beauty as its most common connotation. Conclusions. The study concludes that animal metaphors are culturally loaded and that the environment we live in shapes the way we view animals and the way we use them metaphorically.