Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the Method of Quality Detection of Duck Egg Based on Computer Vision

In order to achieve the intelligence quality detection of duck eggs, the method of weight and yolk color detection of duck eggs based on computer vision was presented. First, based on the maximum entropy principle, the two-dimensional threshold segmentation and mathematical morphology processing were done. Secondly, the relationship between the duck eggs image areas and the weights was established by using polynomial fitting method, and the experiment showed that the detection errors were within ± 2g and the average error was minus 0.13353g. Finally, by using the method of integration of color components, the yolk color feature matrix was constructed, the color moment parameters were extracted from feature matrix and the BP network classifier was designed for classification detection of yolk color. Simultaneously, the overall recognition rate of classifier arrived at 94.30%, indicating that the method is effective.
A Conceptual Framework for Describing the Role of Employer Branding, Person-Organization Fit and Employee Engagement in Shaping Organizational Citizenship Behavior

The small and medium-sized enterprises (SME) play a fundamental role in providing job opportunities and supporting national economy. Therefore, it is essential to increase SMEs’ contributions to the economy by examining the factors that positively impact performance. As one of the main obstacles that hinder SMEs’ performance is workforce-related, then organizational citizenship behavior (OCB) can contribute to performance improvement. Consequently, the current research’s concern is to identify factors that are associated with employee OCB. To this end, employer branding, employee engagement and person-organization fit are proposed as antecedents of the OCB. This study contributes to the literature by identifying determinants of OCB and providing a framework that improves OCB.
The accrual anomaly analysis at different stages of the corporate life cycle of companies listed on the Tehran stock exchange

Financial theorists believe that low accruals firms have higher returns compared to those with high accruals calling this relationship an accruals anomaly. Since the introduction of this concept, various studies have examined the factors causing accruals anomalies and their impact on corporate revenues. The current paper aims at investigating the impact of accruals anomalies on corporate profitability as well as the role of the corporate life cycle. Thus, the data was collected using 109 companies listed on the Tehran Stock Exchange data during the period 2012 to 2018. Then, the relationships were examined using regression modelling with a panel approach. The results indicate that there is no significant impact of life cycle on the relationship between accrual anomalies and profitability.
Long-term safety and effectiveness of mycophenolate mofetil in adults with lupus nephritis: a real-world study in Japan.

OBJECTIVES To assess the safety and effectiveness of mycophenolate mofetil (MMF) in Japanese adults with lupus nephritis (LN) in real-world clinical practice. METHODS This multicentre, prospective, post-marketing surveillance study investigated the effectiveness and safety of MMF, as induction or maintenance therapy, in LN patients. Primary endpoints were adverse drug reactions (ADRs), changes in renal function from baseline, and relapse rate (RR) after 6 months in the maintenance group, estimated using the Kaplan-Meier method. Complete remission (CR) and partial remission (PR) were estimated by renal measurements. RESULTS Overall, 112 patients were enrolled in the induction group and 340 in the maintenance group. Of these 452 patients, 418 were evaluable for safety and 396 for effectiveness. Eighty-three patients (19.85%) experienced ADRs, most commonly herpes zoster (3.34%) and diarrhoea (3.11%). Serious ADRs occurring in more than three patients were cytomegalovirus infections (1.43%), acute pyelonephritis (0.71%), and herpes zoster (0.71%). One patient died from herpes zoster disseminated. CR and PR were 19.54% and 44.82%, respectively, in the induction group, and 40.62% and 66.16%, respectively, in the maintenance group. RR in the maintenance group was 0.70%. CONCLUSIONS The tolerability of MMF is in line with that reported in other studies. Since the average dose of MMF was <1.5 g/day, research into the optimal dose for achieving effectiveness is required.
Water Quality Monitoring System Based on Microcontroller and LoRa

Water is essential for human and other lives such as marine and plants. However, water pollutions are a serious issue that needs to be solved. One of the actions that needs to be taken is to monitor the water quality regularly. However, many areas still used manual monitoring due to high cost of automatic monitoring system. Hence, this study aims to develop a low-cost and low-power water pollution monitoring system using a microcontroller and long-range wireless system (LoRa). The system monitors the water pollutions through pH and temperature sensor. Next, the data transmitted to a host PC wirelessly through LoRa communication. The data received will bs stored in a cloud with GUI. Moreover, the system equipped with a PV panel and Lithium-ion battery storage. This will allow the system to be deployed in remote areas with no power sources. The system performance on pollution detection and transmission distance were tested via several experiments. Several substances with different pH values were used simulate polluted water. Meanwhile, the data transmission was evaluated through several distance parameters. The results show the system successfully able to monitor polluted water with high accuracy and capable to transmit long-range data wireless. Hence, the system has efficient power usage through few numbers of sensors alongside LoRa that uses low power for communication.
SOUTH AFRICA`S FISCAL OUTLOOK AMIDST COVID-19 PANDEMIC

: This study seeks to provide an overview of South Africa’s fiscal outlook amidst the Covid-19 pandemic. To achieve this, the study will explicate the discrepancies between general government revenue and expenditure, and between government debt and budget deficit in light of South Africa’s low economic growth. The study utilised publicly available secondary data (2000-2020), and it employed a descriptive research design and quantitative research method. The results indicate that the biggest discrepancy between government revenue and expenditure yet recorded is in 2020, evidenced by the 12.25% budget deficit. The outlook and expected recovery do not appear positive, and it may last for years, as is the case with crises of this magnitude. The results further demonstrate that even before the pandemic in 2019, the debt-to-GDP ratio was beyond the 60% threshold, and is already displaying unfavourable trends with the pandemic’s effects beginning in 2020. For fiscal sustainability, ensuring the debt-to-GDP ratio is in check over the medium term by limiting expenditures and stimulating investment should be considered.
Comparison of resonant topologies in high-voltage DC applications

Because of their tolerance of transformer nonidealities, resonant converters are considered to be well-suited to high-voltage applications. The series and parallel resonant topologies, as well as a newly discovered hybrid resonant topology are compared for high-voltage applications. Design criteria which incorporate transformer nonidealities are developed and used in the construction of high voltage prototypes for each topology. It is found that the parallel topology leads to the lowest peak switch current and the most ideal behavior. >
Faulty Scarfing Slab Detection Using Machine Vision

In this study, we developed a detection algorithm using machine vision for faulty scarfing on slabs. Scarfing is a process for burning out defective areas on the surface of semi-finished steel products so that the product is suitable for subsequent rolling or forging. In the case of rolling, a poorly scarfed slab can cause serious defects. Therefore, an automatic inspection system for scarfed slabs should be developed. In the image of faultily scarfed slab, discontinuous bright bands and borderlines are observed. To detect the bright bands, we examined the real part of a Gabor filter. However, because the size of the bright bands is not fixed, the parameters of the real part of the Gabor filter were determined adaptively using the imaginary part of the Gabor filter. The performance of the proposed algorithm was tested with 2292 images of scarfed slabs of which 49 of the images were of faulty scarfed slabs. The proposed algorithm was able to detect defects with 95.9% accurate and the false alarm was 1.6%.
Öğrencilerin Güçlü Yönlerinin/Karakter Güçlerinin Keşfedilmesine Yönelik Sınıf İçi Uygulama Önerileri

Received Date: 25 June 2021 Accepted Date: 19 October 2021 Pozitif psikolojinin önemli çalışma konularından birisi bireyin güçlü yönleridir. Bu çalışmada, güçlü yönlerin/karakter güçlerinin sınıfta keşfedilmesi ve işlevsel olarak kullanılması üzerinde durulmaktadır. Öncelikle, güçlü yönlerin önemi vurgulanmaktadır. Sonra, güçlü yönlerin alanyazında sık karşılaşılan sınıflaması olarak 6 erdem ve 24 karakter gücü kısaca açıklanmaktadır. Devamında, güçlü yönlerin okullar için önemi ve okul uygulamalarına kısaca değinilmektedir. Takip eden bölümde, güçlü yönlere yönelik sınıf uygulamalarının her biri açıklanmıştır. Bu uygulamalar, Güçlü Yönler Sınıfı, Güçlü Yönler Şahsiyetleri, Güçlü Yönler Senaryoları, Güçlü Yönler Kariyer Listesi, Güçlü Yönler Kartı, Güçlü Yönler Takvimi, Güçlü Yönler Ağacı, Güçlü Yönler Filmleri, Güçlü Yönler Kitaplığı, Güçlü Yönler Metaforu, Güçlü Yönler Sessiz Sineması, Güçlü Yönler Jengası, Güçlü Yönler Yapbozu, Güçlü Yönler Bulmacası, Güçlü Yönler Küpü, Güçlü Yönler İsim-Şehiri, Güçlü Yönlerimi Kullanıyorum, Problemlere Karşı Güçlü Yönlerim, Güçlü Yönler Listem, Güçlü Yönler Günlüğüm, Güçlü Yönler Aktivitelerim, Arkadaşlarımın Gözünden Güçlü Yönlerim, Ailemin Gözünden Güçlü Yönlerimdir. Son olarak çalışma sonuç ve öneriler kısmı ile tamamlanmıştır. Anahtar Kelimeler: pozitif psikoloji, pozitif eğitim, pozitif psikoloji uygulamaları, güçlü yönler, karakter güçleri One of the important study topics of positive psychology is the strengths of the individual. This study focuses on discovering and functionally using strengths/character strengths in the classroom. First, the importance of strengths is emphasized. Then, 6 virtues and 24 character strengths are briefly explained as a common classification of strengths in the literature. In the following, the importance of strengths for schools and school practices are briefly mentioned. The following part explained each of the classroom practices for strengths. These practices are Strengths Class, Strengths Personas, Strengths Scenarios, Strengths Career List, Strengths Card, Strengths Calendar, Strengths Tree, Strengths Movies, Strengths Library, Strengths Metaphor, Strengths Charades, Strengths Jenga, Strengths Jigsaw, Strengths Puzzle, Strengths Cube, Strengths Name-City, I Use My Strengths, My Strengths Against Problems, My Strengths List, My Strengths Diary, My Strengths Activities, My Strengths in The Eyes of My Friends, My Strengths in The Eyes of My Family. Finally, the study was completed with the conclusion and suggestions part.
Normal coronary diameters in coronary angiogram at Patan Hospital, Nepal

This study aims to assess the normal coronary diameters of patient who underwent coronary angiogram in Patan Hospital. Angiographic and demographic data of a total of 307 patients (155 males, 152 females; mean age 62.09±11.06 years) who underwent elective coronary angiography in Patan Hospital due to suspicion of coronary artery disease between 2017 and 2020 and in whom coronary angiography documented normal coronary arteries without any intra-luminal irregularity were analyzed retrospectively. Proximal diameters of the main epicardial coronary arteries were measured quantitatively using automated software analysis (Allura, Philips). The mean diameter of unadjusted/adjusted left main coronary artery, proximal left anterior descending artery, proximal left circumflex artery, proximal right coronary artery were 4.87±0.85mm/2.8±0.54, 3.8±0.7/2.19±0.439, 3.4±0.7/1.98±0.44, 3.6±0.85/2.07±0.53 respectively. Our study findings contradict the traditional belief that females have narrower coronary arteries than males. Our study showed the females have statistically significant larger unadjusted Right Coronary Artery diameter and adjusted Left Main Coronary Artery diameter. We believe that our findings may contribute to the global data pool of normal coronary diameters and can be utilized in future studies as a database.
In vitro propagation, callus induction, and evaluation of active compounds on Ruta graveolens

Ruta graveolens belongs to Rutaceae family. It is a medicinal plant native to Jordan and is classified as an aromatic plant. R. graveolens plant is at risk of extinction, due to over-collection, overgrazing and deforestation. Therefore, this study was conducted to investigate factors affecting R. graveolens in vitro propagation. Callus induction was conducted from leaf discs on MS (Murashige and Skoog) media supplemented with 4.0 mg/l NAA. Callus tissue was maintained by frequent subculture on MS media supplemented with 1.0 mg/l 2,4-D. Rapid multiplication of R. graveolens was achieved by culturing microshoot on MS medium containing TDZ, 2-iP, zeatin or GA 3 at various concentration. Zeatin at 0.5 mg/l resulted in the highest shoot number and length. Crude extracts of callus, in vitro and ex vitro of R. graveolens were prepared by different solvents like methanol and ethanol. High performance liquid chromatography (HPLC) technique was used for quantitative analysis of five active compounds in three culture types. In vitro culture extracted by ethanol was contained the maximum content of metabolites compared to callus and ex vitro cultures.
An Intelligent Metaheuristic Binary Pigeon Optimization-Based Feature Selection and Big Data Classification in a MapReduce Environment

Big Data are highly effective for systematically extracting and analyzing massive data. It can be useful to manage data proficiently over the conventional data handling approaches. Recently, several schemes have been developed for handling big datasets with several features. At the same time, feature selection (FS) methodologies intend to eliminate repetitive, noisy, and unwanted features that degrade the classifier results. Since conventional methods have failed to attain scalability under massive data, the design of new Big Data classification models is essential. In this aspect, this study focuses on the design of metaheuristic optimization based on big data classification in a MapReduce (MOBDC-MR) environment. The MOBDC-MR technique aims to choose optimal features and effectively classify big data. In addition, the MOBDC-MR technique involves the design of a binary pigeon optimization algorithm (BPOA)-based FS technique to reduce the complexity and increase the accuracy. Beetle antenna search (BAS) with long short-term memory (LSTM) model is employed for big data classification. The presented MOBDC-MR technique has been realized on Hadoop with the MapReduce programming model. The effective performance of the MOBDC-MR technique was validated using a benchmark dataset and the results were investigated under several measures. The MOBDC-MR technique demonstrated promising performance over the other existing techniques under different dimensions.
An experimental study of consumers’ impulse buying behaviour in augmented reality mobile shopping apps

ABSTRACT Augmented Reality (AR) technology has been increasingly utilised in mobile shopping apps to enhance consumers’ mobile shopping experiences, thereby affecting consumers’ impulse buying behaviour. Drawing upon the Spatial Presence Theory and the Elaboration Likelihood Model, the current study aims to empirically investigate AR-related factors (vividness, spatial accuracy, local presence) and their impacts on impulse buying behaviour related factors (arousal, perceived diagnosticity, and urge to buy impulsively) in the context of AR mobile shopping apps. In this study, an experiment employing a full 2X2 factorial between-subject experimental design was carried out. There were a total of 137 participants actively involved in this experiment. The data analysis results and findings, along with the implications of this study, are provided in the paper.
Grasped Object Weight Compensation in Reference to Impedance Controlled Robots

This paper addresses the problem of grasped object weight compensation in the one-handed manipulation of impedance controlled robots. In an exemplary identification procedure, the weight of an object and its centre of mass together with gripper kinematic configuration are identified. The procedure is based on the measurements from a 6-axis force/torque sensor mounted near the gripper. The proposed method reduces trajectory tracking errors coming from the model imprecision without compromising the main advantages of impedance control. The whole approach is applied according to the embodied agent paradigm and verified on the two-arm service robot both in simulation and on hardware. Due to the general description that follows system engineering standards, the method can be easily modified or applied to similar systems.
A holistic approach towards a more sustainable urban and port planning in tourist cities

Purpose This contribution aims to demonstrate that the adoption of a holistic approach to the development of infrastructures supporting the growth of cruise tourism can represent a trigger for a more sustainable urban and port planning in the Moroccan context. Although, along with this growth, there are global-local issues pertaining to sustainability and resilience that need to be addressed to support sustainable urban and social development of tourist cities. Design/methodology/approach Documents and literature review were used to develop an in-depth analysis related to the different fields involved in the proposed theoretical reflection. Scientific publications, data and international statistical reports have been used to validate the approach. Findings The work provides empirical insights to show the strengths of the country related to the sustainability, suggesting that they deserve to be integrated, involving urban planning, green energy transition, as well as the economic and social sustainability of tourism industry. Originality/value This paper aims to stimulate a debate among stakeholders and scholars involved on tourist port cities urban planning to avoid a “silos” approach and to favour a more sustainable infrastructure development process. In that sense, the paper fulfils the need to provide a basis to encourage the integration of different strategic topics and agenda concerning social and economic growth of tourist port cities.
Analytical Models to Characterize Trade-Offs Between Technological Upgrading and Innovation

We propose two analytical models to characterize the relationship between technological upgrading and innovation in the oil & gas industry. The first one is an “optimization model” which focuses on the trade-offs between profit maximization and environmental compliance cost. The other has been developed based on “predator-prey” model which captures the dynamics of biological systems. Our study contributes to the strategic planning process for sustainable development by providing the insight that optimal allocation process is determined by multiple operational factors, including a firm’s competitive ranking among its industrial competitors, industrial consent on the concurrent rate of return on capital investment, the projected demand of oil & gas in future, and a change in environmental compliance cost. Further, we add to the robustness of the optimal allocation process by providing binding conditions of the set of solutions.
Should I stay or should I go? Migrating away from an incumbent platform

We develop a model of dynamic platform formation under positive platform externalities. Users can switch between an incumbent and entrant platforms, switching opportunities arise stochastically and users can choose whether to accept or reject an opportunity to switch. For homogeneous users, we characterize the incumbency advantage implied by a given equilibrium realization of the switching process. For linear utility, incumbency advantage increases in the mean and dispersion of the incumbentâ€™s share during the switching process, which captures the momentum and coordination of the process. Heterogeneity in preferences may lead some users to delay their switching or never switch at all. Assuming that switching opportunities arrive according to a Poisson process, users switch to the entrant platform if the average preference favors the entrant and if preferences are not too polarized.
Staying connected: explaining parties’ enduring connections to civil society

Abstract The connections between political parties and civil society are central to parties’ representative performance. Several explanations exist for cross-party variations in the strength of these connections. However, nobody has compared the explanatory power of rival theories. This article does just that, using a novel dataset covering 149 parties in 29 elections in 14 West European countries. It establishes that elites in parties with government experience and a left-wing ideological orientation have the strongest links to civil society. Parties at the far right are the least connected, in particular those that have no governing experience. Contrary to expectations, however, the study shows that, when controlling for party ideology and governing experience, the level of intra-party democracy and key components of party trajectory, such as party origin and strategy, are not significant in explaining the strength of party-society connections. Supplemental data for this article can be accessed online at: 10.1080/01402382.2021. 1986784
Comments on “A Rigorous Design Methodology for Compact Planar Branch-Line and Rat-Race Couplers With Asymmetrical $T$ -Structures”

In the above paper, the high–low impedance (HLI) section and its characteristic impedance of $Z_{\rm HLI}$ are suggested to reduce the size of branch-line and rat-race couplers. The characteristic impedance of $Z_{\rm HLI}$ , however, appears to be incorrect for the application of the asymmetric structures, such as the HLI sections.
A Constraint-Based System for Product Design

Concurrent Engineering (CE) emphasizes the simultaneous consideration of downstream aspects of product design (e.g., production, maintenance, recycling, and disposal) at the design stage. Representing these considerations at the design stage is one of the principal problems of CE. This paper explores the use of constraint networks to modeling such information for effective use during the design process. A constraint- based system has been developed in which the functional requirements of a product and other concerns about its life cycle are modeled as con straints. The system includes an interactive user interface, a constraint management module for the propagation and checking of design deci sions, and a constraint pool which supports different types of constraints from multiple knowledge sources. This system is a core part of a larger design assistance tool which is capable of mapping design requirements to multiple design alternatives. Main elements of the constraint-based system are explained and a parametric design case study is provided to illustrate the performance of the system in a practical mechanical design problem. Advantages and limitations of using constraint networks for modeling design knowledge and future research directions are also briefly discussed.