Miracle-dz/UniFAR-FTUs huggingface dataset:
Control Charts for the Shape Parameter of Skewed Distribution

The weighted distributions are useful when the sampling is done using an unequal probability of the sampling units. The Weighted Power function distribution (WPFD) has applications in the fields of reliability engineering, management sciences and survival analysis. WPFD is more beneficial in Statistical process control (SPC). SPC is defined as the use of statistical techniques to control a process or production method. SPC tools and procedures can help to monitor process behaviour, discover problems in internal systems, and find solutions for production issues. To identify and remove the variation in different reliability processes and also to monitor the reliability of machines where the number of errors follows WPFD, we develop control charts to keep the process in control. A memory-based control chart like an exponentially weighted moving average (EWMA) control chart and an extended exponentially weighted moving average (EEWMA) control chart are discussed and compared each other. The proposal of these control charts is based on the modified maximum likelihood estimator (MMLE) under the shape parameter of WPFD. We have presented Monte Carlo simulation technique and a real-life application to compare the proposed control charts. This study shows that an EEWMA control chart based on MMLE performs better than EWMA control chart, when the underlying distribution of the errors in process monitoring follows WPFD. These findings can be useful for researchers and practitioners in dealing with production errors and optimizing the output.
Application of Quality Function Development Method to Establish Application of New Product Development Information System

In the process of new product development, the customer's feeling is usually fuzzy phenomenon, how to evaluate various factors is to test the developer's intelligence, this study takes the new product development process as the research object, and applies the Quality Function expansion (QFD) method to establish a decision support system with fuzzy processing ability. In this study, the first development of quality function expansion (QFD) applied to Customer voice collection and analysis and conversion to product specifications. Then, the integration of fuzzy theory and the provision of different commodity development solutions as the best choice for products.
Prognostic effect of Nesfatin-1 on the diagnosis and staging of acute cholecystitis

ABSTRACT BACKGROUND: Gallbladder diseases are an important health concern affecting approximately 20% of the population in developed countries. Acute cholecystitis is the most common complication of gallstones. The aim of our study is to determine the use of Nesfatin-1, which is an easily applicable and fast resulting and is thought to have an association with inflammatory events, in the diagnosis and grading of acute cholecystitis. METHODS: Patients who admitted and were hospitalized and treated with the acute cholecystitis diagnosis in İstanbul Training and Research Hospital between July 1, 2020, and December 1, 2020, were included in the study. The patients were divided in threemain groups as mild, moderate, and severe according to Tokyo Guidelines 2018 based on their routine blood tests and imaging results. All patients who are included in the study were tested for their blood leukocyte, neutrophil, lymphocyte, Nesfatin-1 levels, and neutrophil/lymphocyte ratios within the first 24 h of their hospitalization. RESULTS: With at least 15 patients in each group, 61 volunteers in total were included in the study as healthy volunteers, mild, moderate, and severe cholecystitis. The average age of the participants were 58.11±19.76 years. About 47.54% of the participants were female and 52.46% weremale. In the study, Nesfatin-1 levels in the patient groups were found to be lower than the control group. In the subgroup analyzes, Nesfatin-1 values in the middle patient group were found to be significantly lower than the control group; however, there was no statistically significant relationship between the severity of the disease and Nesfatin-1. CONCLUSION: Nesfatin-1 may guide the clinician for the diagnosis of the disease; however, no significant relationship was found between Nesfatin-1 and the severity or stage of the disease.
Genome-wide identification of Cellulose-like synthase D gene family in Dendrobium catenatum

Abstract Dendrobium catenatum, which grows on the semi humid rocks in the mountains, has been at the top of the ‘Nine Immortals of China’ since ancient times. It is a kind of yin tonic medicine and its main active component is polysaccharide. Cellulose synthase-like D(CslD) genes were predicted to catalyse the biosynthesis of 1,4-β-d-glycan backbone of hemicelluloses, which plays fundamental roles in plant development. To investigate the role of CslD in the development of D. catenatum, eight CslD genes (DcCslD1,2a,2b,3a,3b,4a,4b,5) were identified. The results of protein prediction and analysis showed that CslD2a/2b/4a/4b proteins were acidic proteins. All the proteins had obvious hydrophobic or hydrophilic regions, and had transmembrane structure. Phylogenetic analysis revealed that the DcCslD family could be divided into group I, II, III and IV. DcCslD proteins had a typical Cellulose synthase domain and similar protein structures to the CslDs of other plants. Their promoter regions contain cis regulatory elements related to stress and hormone response. The results of qRT-PCR showed that the identified DcCslDs were differentially expressed in roots, stems and leaves. Most of them were highly expressed in stems and leaves. The environmental stresses examination showed that the expression levels of DcCslD5 were closely associated with drought-recovery treatment; the expression levels of DcCslD1, DcCslD2a, DcCslD2b, DcCslD3a and DcCslD5 were significantly influenced by low temperature. This study systematically analyzed the sequence characteristics of CslD protein of D. catenatum, which can provide reference for further study on the function of CslD protein in the polysaccharide metabolism of D. catenatum. Supplemental data for this article is available online at https://doi.org/10.1080/13102818.2021. 1941252.
Effects of varieties and organic manures on growth and yield of cauliflower

An experiment was conducted at the Landscaping section of the Department of Horticulture, Bangladesh Agricultural University, Mymensingh during the period from October 2018 to March 2019 to investigate the effects of varieties and organic manures on growth and yield of cauliflower. The experiment was laid out in Randomized Complete Block Design with three replications. The experiment consisted of two varieties viz. BARI Fulkopi1 (RUPA) and BARI Fulkopi-2 and five types of organic manures viz. T0 = Control (no manure), T1 = Cowdung @ 20 t/ha, T2 = Mustard oilcake (MOC) @ 0.5 t/ha, T3 = Poultry manure @ 15 t/ha, T4 = Cowdung + MOC + Poultry manure @ 4 t/ha + 0.25 t/ha + 2 t/ha. The results of the experiment showed that the variety and organic manures had significant influence on almost all the parameters studied. BARI Fulkopi-2 produced the higher yield with increased plant height, number of leaves per plant, stem length, curd diameter compared to BARI Fulkopi-1 (RUPA). The results further revealed that the application of T4 (Cowdung + MOC+ Poultry manure @ (4 t/ha + 0.25 t/ha + 2 t/ha) increased plant height, number of leaves per plant, stem length, curd diameter and curd yield compared to control treatment (T0). The highest curd yield (24.01 t/ha) was recorded in T4 (Cowdung + MOC + Poultry manure @ (4 t/ha +0.25 t/ha +2 t/ha) and the lowest curd yield (13.99 t/ha) was found in T0 (control). The effect of organic manures on yield were in order of T4>T3>T2>T1>T0. Among the treatment combinations V2T4 gave the highest plant height (47.26 cm), number of leaves per plant (11.22), curd yield (24.99 t/ha) where-as the lowest plant height (23.52 cm), number of leaves per plant (7.37), curd yield (13.3 t/ha) were obtained from V1T0. Therefore, the combined application of Cowdung + MOC + Poultry manure @ 4 t/ha + 0.25 t/ha +2 t/ha along with BARI Fulkopi-2 was found to be better in respect of growth and yield of cauliflower.
Cluster Analysis of Failure Beliefs among Japanese Junior High School Students: Perspectives From “Failure Prevention” to “Failure Promotion”

This study investigated the failure beliefs among Japanese junior high school students using the failure belief scale developed by Nishimura et al . Cluster analysis was performed by categorizing 280 students into four distinctive clusters: “high fearful-ness group” with high fearfulness toward failure, “failure amicable group” with low fearfulness towards failure and high utilization-possibility of failure, “average group” that showed consistently average scores over the two subscales, and “failure indifferent group” with low scores over the subscales. One-way ANOVA revealed that the first two groups are different not in the academic out - comes but in the social outcomes. The results suggested that teachers should focus on social aspects as well as cognitive aspects in promoting the qualitative development of students’ failure belief groups.
Literature Review on X-Ray based Pneumonia Detection using Machine Learning and Deep Learning Methods

Artificial intelligence has proven to be an effective way in the detection of many diseases. This study presents a literature review of artificial intelligence techniques used in the detection, classification and visualization of pneumonia disease in lungs using radiographs of chest. In this review, different reliable databases were searched including research gate, ELSEVIER, Applied sciences and IEEE. Pneumonia is a fatal sort of malady on the off chance that we truly couldn't care less. If we don’t diagnose it in its early stages it can be responsible for 50000 deaths every year [59]. There are two kinds of pneumonia: viral and bacterial. Many researchers have done their research for the identification of pneumonia using machine learning and deep learning methods. This study gives you an overview of the machine and deep learning methods proposed previously for the pneumonia detection. The review is structured based on Deep learning, transfer learning and machine learning methods using chest x-rays images for the early identification of pneumonia. The main objective is to find the limitations of the previous studies and suggestions for the future work.
Machine Learning Techniques for Analysing and Identifying Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neuro disorder in which a person's contact and connection with others has a lifetime impact. In all levels of development, autism can be diagnosed as a “behavioural condition,” since signs generally occur within the first two years of life. The ASD problem begins with puberty and goes on in adolescence and adulthood. In this chapter, an effort is being made to use the supporting vector machine (SVM) and the convolutionary neural network (CNN) for prediction and interpretation of children's ASD problems based on the increased use of machine learning methodology in the research dimension of medical diagnostics. On freely accessible autistic spectrum disorder screening dates in children's datasets, the suggested approaches are tested. Using different techniques of machine learning, the findings clearly conclude that CNN-based prediction models perform more precisely on the dataset for autistic spectrum disorders.
Unexpected Disadvantages of a Simultaneous Quadrilingual Upbringing, a Case Study

At the crossroad between linguistics and cross-cultural communication, multilingualism is frequently presented through its most positive perspective. However, if the long-term benefits outrun the disadvantages, frustration is often the dominant feeling among the speakers during their early years. Based upon meticulous observations and careful collection of examples in a multilingual family, this article is a case study of the difficulties encountered by polyglots growing up with four simultaneous languages: Russian, French, Czech, and English. Using the research framework usually developed for the study of bilingualism, the article reviews not only the psychological and cognitive difficulties encountered by tetraglots, but also the social and linguistic drawbacks they are confronted with. It also examines common multilingual strategies such as code-switching, words creation and language mixing.It concludes that the linguistic development of tetraglots does not differ much from bilingual ones, except for the elongated period before acquiring production speech. Quadrilingual children tend to speak later than not only monolingual children, but also bilingual ones.
Cost-Efficiency Optimization of Ground Assemblies for Dynamic Wireless Charging of Electric Vehicles

Dynamic wireless power transfer (DWPT) allows electric vehicles (EVs) to be charged while in motion. However, high cost and efficiency concerns limit the widespread adoption of DWPT. A ground assembly (GA) accounts for most of the system cost since it is implemented on a significant portion of the road. This article proposes a cost-efficiency optimization algorithm to determine the optimum design of a DWPT transmitter (Tx) pad. Elongated rectangular pads are considered a compromise between cost and efficiency. An optimization methodology is put forward to maximize Tx pad efficiency while minimizing GA cost over a selected road. The optimum design allows constant power transfer inside a selected rated power zone while considering EV lateral misalignment as a random variable. Main cost factors are accounted for, including the cost of the pad coil Litz wire and ferrite material and Tx power electronics and compensation network. Particle swarm optimization allowed the number of finite element analysis simulations to be reduced by intelligently selecting test designs. Statistical analysis is applied to understand the impact of different variables on the final design and the interdependence between variables. Additional analyses are conducted to evaluate the impact of different DWPT aspects, including the wire gauge, probability density of the misalignment variable, multilayer coil design, and capacitor cost modeling. The algorithm is used to design a 3.7-kVA Tx pad with respect to the SAE J2954 receiver test stand VA WPT1/Z1. The optimization Pareto fronts illustrate the family of optimum designs, while the chosen 3.7-kVA pad offers the statistical expected value of pad efficiency as 96%, GA per meter cost of $\$ $ 1004, and an optimum pad length of 1.75 m. The 3.7-kVA optimized pad is manufactured and tested for several operating conditions verifying the simulation results.
Geographic and ecological segregation in an extinct guild of flightless birds: New Zealand’s moa

The nine currently recognized species of moa (Order – Dinornithiformes; Bonaparte 1853) suffered extinction soon after New Zealand was settled by humans. They were the result of an evolutionary radiation that produced a unique guild of birds – giant, and totally wingless species that evolved in the absence of non-volant mammals. Recent advances in dating and paleoclimatology, and compilations of data on distributions of the nine species of moa, along with information on the geographic, topographic, climatic and edaphic characteristics of sites from which moa remains have been recovered, enabled us to test whether their evolutionary radiation truly was ‘adaptive’, producing ecologically distinct species. Randomization, resampling analyses of moa distributions across North and South Islands revealed highly significant geographic and ecological segregation, with different species tending to occupy different islands, regions within islands, or elevations within regions. Quadratic Discriminant Analyses demonstrated niche segregation at even finer scales, including that based on vegetation-defined habitats and on local climatic, topographic and edaphic conditions. Moa distributions also appear to have been dynamic over time, shifting in their upper elevational limits as climatic conditions changed and vegetative zones shifted upward during the Holocene Epoch. Our ongoing studies are building on the results presented here to explore the temporal dynamics of moa distributions, assess differential responses of moa species to natural and anthropogenic drivers, and determine how these forces may have combined to cause the extinction of moa just a few centuries ago.
A multi-scaled approach to understanding the environmental drivers of Southeast Asian forest-savanna mosaics

iii LAY SUMMARY.iv PREFACE.v TABLE OF CONTENTS.vi LIST OF TABLES.viii LIST OF FIGURES.ix ACKNOWLEDGEMENTS.x CHAPTER 1: Introduction.1 1.1 Interpreting the SE Asian forest savanna mosaic.1 1.2 Project objectives.3 CHAPTER 2: A review of tropical savanna ecology and evidence of savannas within SE Asia.5 2.1 Defining savanna.5 2.2 What determines global distributions of savannas? 5 2.3 What determines landscape scale forest-savanna dynamics? 8 2.4 Site level savanna dynamics.12 2.5 Knowledge gaps.13 CHAPTER3: The environmental drivers of tree cover in savanna-forest mosaics in Southeast Asia.15 3.
An assessment of regulation, education practices and socio-economic perceptions of non-native aquatic species in the Balkans

Abstract. Alongside climate change, the introduction of non-native species (NNS) is widely recognized as one of the main threats to aquatic biodiversity and human wellbeing. Non-native species and biodiversity are generally low priority issues on the political agendas of many countries, particularly in European countries outside the European Union (EU). The objectives and tasks of this study were to address the policy regulation, education level, education practices, and socioeconomic perceptions of NNS in the Balkans. A questionnaire-based survey was conducted in Albania, Bosnia and Herzegovina, Montenegro, North Macedonia and Turkey (Balkan EU candidate and potential candidate members), in Croatia and Greece (Balkan EU Member States) and Italy (non-Balkan EU Member State). The EU Alien Regulation (1143/2014) concerning NNS is implemented in EU Member States and Montenegro, whereas Albania, Bosnia and Herzegovina and Turkey have not reported specific policy regulations for NNS. Permanent monitoring programmes specifically designed for NNS have not yet been established in the EU Member States. Most countries tackle the issue of NNS through educational activities as part of specific projects. Education level is indicative of the implementation of NNS policy regulation, and efforts are needed for the proper development of relative study programmes. Public awareness and educational preparedness concerning NNS in the Balkans were identified as poor. Strong programmes for management and education should be developed to increase public awareness to prevent further biodiversity losses in the Balkan region.
Pedagogical Consolidation of Pupil-Athletes’ Knowledge of Humanities

There appears to be the need to consolidate pupil-athletes’ knowledge of humanities (Ukrainian History, English, Ukrainian, Ukrainian literature), which greatly affect their emotional and value attitude towards the surrounding world, promote active life position and widen outlook, develop reading, linguistic and speech culture, enhance understanding of life meaning through the assimilation of ideals, universal values, norms of morality and patterns in behaviour culture. The research aims to disclose the impact of the developed system of assignments on the consolidation of knowledge of humanities in pupil-athletes in the process of training. The pedagogical experiment was conducted in Ukrainian comprehensive schools (142 participants in the experimental group and 150 participants in the control group). The diagnostic toolset includes questionnaires for identifying cognitive interest of pupils in humanities, questionnaires for teachers and parents, tests for identifying abilities to observe, concentrate attention, memorize and apply the content of educational material, tests for studying types of memory, methods of adolescents’ self-assessment, methods of unfinished sentences, notes, reading diaries, compositions. Thus, the indicator of creative nature in acquiring knowledge of humanities has increased (+ 19,1%) in the experimental group. Analyzing the results from the experiment, one can conclude that the designed system of assignments aimed at consolidating pupil-athletes’ knowledge of humanities has contributed to increasing the levels of their overall performance, responsibility and discipline.
Rectenna Design and Development Strategies for Wireless Applications: A review

In this article, a comprehensive review specifically on the applications of rectennas for different wireless systems has been presented. Rectenna systems are used to convert radio-frequency (RF) energy into dc signals. Attracting ever-increasing interest among researchers, the rectenna has occupied a unique position in RF and microwave engineering systems. During the last four decades, the research on rectenna design has been focused on improving the power conversion efficiency (PCE) and compatibility while reducing the design complexity as well. This review article summarizes the overall rectenna research carried out for different applications, viz., wireless power transmission (WPT), wireless sensor networks (WSNs), solar power transmission (SPT), medical implants, and wireless energy-harvesting (WEH) systems. Such a review article has rarely been proposed in the open literature to the best of the authors’ knowledge. The main objectives of the article are to 1) accommodate the key design requirements of the rectenna, 2) study the potential application of rectennas and their possible configurations to achieve desired performance characteristics, and 3) to present a comparative analysis of the performance parameters of the different reported works.
Unveiling the power spectra of δ Sct stars with TESS. The temperature, gravity, and frequency scaling relation

Thanks to high-precision photometric data legacy from space telescopes like CoRoT and Kepler , the scientiﬁc community could detect and characterize the power spectra of hundreds of thousands of stars. Using the scaling relations, it is possible to estimate masses and radii for solar-type pulsators. However, these stars are not the only kind of stellar objects that follow these rules: δ Scuti stars seem to be characterized with seismic indexes such as the large separation ( ∆ ν ). Thanks to long-duration high-cadence TESS light curves, we analysed more than two thousand of this kind of classical pulsators. In that way, we propose the frequency at maximum power ( ν max ) as a proper seismic index since it is directly related with the intrinsic temperature, mass and radius of the star. This parameter seems not to be a ﬀ ected by rotation, inclination, extinction or resonances, with the exception of the evolution of the stellar parameters. Furthermore, we can constrain rotation and inclination using the departure of temperature produced by the gravity-darkening e ﬀ ect. This is especially feasible for fast rotators as most of δ Scuti stars seem to be.