Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Analysis of a TH-PPM UWB System using Dyadic Tree Structure

In this paper, certain scaling functions are generated using the dyadic subband tree structure and applied to a time-hopping, pulse position modulation, ultra-wideband (TH-PPM UWB) system. Scaling functions can be obtained by iterating a lowpass filter at each level using a critically sampled dyadic tree. The performance of the TH-PPM UWB system employing scaling functions as the mono-cycle waveform is evaluated through computer simulations in a Rayleigh fading environment.
The Challenge of Covering the World Superbike: The Experience of Journalists in Lombok, Indonesia, in Covering the Mandalika World Superbike Motor Racing

This study aims to discuss and explain the challenges of the journalists in Lombok, Indonesia, in covering the international motorcycle racing World Superbike (WSBK). This study uses the case study method to find out what are the challenges that journalists have in covering WSBK. This study also explores how journalists deal with the challenges they face. The researchers conducted a Focus Group Discussion (FGD) to collect the data. The participants of this research consisted of journalists of Suara NTB, Lombok Post, IDNTimes, and Kompas.id who focused on covering WSBK. This study found that the challenges faced by journalists were the lack of language skills for coverage of international activities, lack of legal insight, environmental insight, and the changes in routine coverage. In addition, journalists face this challenge by taking the initiative to create language course classes, collaborate with legal experts and legal aid agencies, and collaborate with environmental experts; while routine problems are handled by expanding access to information and office transportation operations.
Mining the prognostic significance and immune infiltration of STAT family members in human breast cancer by bioinformatics analysis.

Background Growing evidence proved that signal transducer and activators of transcription (STAT) proteins are cytoplasmic transcription factors known to play key roles in many cellular biological processes and may be prognostic predictors of some cancers. However, the role of each STAT family members in breast cancer (BRCA) is diverse and controversial. This study aimed to systematic mine the prognostic significance and immune infiltration of STAT family member in human BRCA. Methods Based on The Cancer Genome Atlas (TCGA) database, we used the Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA) and The Human Protein Atlas to analyze the expression of STAT family members in normal human breast and tumor tissues. The Kaplan-Meier Plotter, GEPIA and PrognoScan were utilized to assess the prognostic value of different STATs in BRCA. Then we used the cBioPortal, STRING, GeneMANIA and Metascape to make further mutation analysis, protein-protein interaction (PPI) analysis and subsequent functional enrichment analysis. Finally, the "ESTIMATE" and "ggcorrplot" package of R 17 software were used for immune infiltration analysis. Results STAT2 [P<0.01, hazard ratio (HR) =1.23, 95% confidence interval (CI): 1.07-1.42] and STAT3 (P=0.018, HR =0.69, 95% CI: 0.51-0.94) could be an independent risk factor for predicting overall survival (OS). STAT4 could be used as an independent predictor of distant metastasis-free survival in BRCA based on both GSE19615 (P=0.021, HR =0.21, 95% CI: 0.06-0.79) and GSE2034 (P=0.015, HR =0.57, 95% CI: 0.37-0.90) datasets. Meanwhile, STAT5A, STAT5B and STAT6 also have been shown to independently predict the prognosis of BRCA. Additionally, the functional mechanisms of STAT4 co-expressed genes were mainly focused on immune-related pathways and its expression was associated with immune checkpoint-associated genes and immunomodulators in BRCA. Conclusions Our study mined the prognostic significance of STAT family members in BRCA and their correlation with immune infiltration. The results suggest that individual STATs, except STAT1, may act as a prognostic biomarker for BRCA and provide a reference for further potential immunotherapies.
Performance Comparison of New Adjusted Min-Max with Decimal Scaling and Statistical Column Normalization Methods for Artificial Neural Network Classification

In this research, the normalization performance of the proposed adjusted min-max methods was compared to the normalization performance of statistical column, decimal scaling, adjusted decimal scaling, and min-max methods, in terms of accuracy and mean square error of the final classification outcomes. The evaluation process employed an artificial neural network classification on a large variety of widely used datasets. The best method was min-max normalization, providing 84.0187% average ranking of accuracy and 0.1097 average ranking of mean square error across all six datasets. However, the proposed adjusted-2 min-max normalization achieved a higher accuracy and a lower mean square error than min-max normalization on each of the following datasets: white wine quality, Pima Indians diabetes, vertical column, and Indian liver disease datasets. For example, the proposed adjusted-2 min-max normalization on white wine quality dataset achieved 100% accuracy and 0.00000282 mean square error. To conclude, for some classification applications on one of these specific datasets, the proposed adjusted-2 min-max normalization should be used over the other tested normalization methods because it performed better.
Comparative Analysis of Heavy Metal Accumulation Pattern and Genotoxicity in Water Fowl

Waterfowl spend their lives mostly on water bodies include ducks, geese, and swans, also include birds such as coots, grebes, moorhens, shorebirds and seabirds etc. Wetlands in Pakistan offer habitat to a variety of migratory birds. Bird’s diversity facing problems due to loss of natural habitat and hunting causing serious issues to bird’s territories. Objective: To investigate bioaccumulation of heavy metals and genotoxicity in waterfowl. Methods: This study investigated bioaccumulation of heavy metals and genotoxic effects that could result from exposure of waterfowl to heavy metals in the Chenab River, Punjab, Pakistan. The three different species, common teal (Anas crecca), little egret (Egretta garzetta) and mallard (Anas platyrhynchos) were obtained from head Marala, River Chenab. The liver, kidneys, heart, muscle, blood, and feathers of birds were collected for the purpose of determining the presence of heavy metals. The study investigated the most common heavy metals Pb, Cd, Ni, and Cr indicating higher concentrations of heavy metals in blood and feathers from the study site. At study sites Pb Cr, Ni concentrations were high (P ≤ 0.05). Results: The results in the current study revealed metals concentration in different species trend as Anas crecca > Egretta garzetta > Anas platyrhynchos. The deposition of heavy metals in organ trends as Pb>Cr>Ni>Cd. The level of metals in blood trends as Pb>Cr>Ni>Cd. Metal concentrations in feathers trend as Pb>Cr>Ni>Cd. Conclusions: Expression analysis of anti-apoptosis Bcl-2 made for Egretta garzetta and genotoxicity results showed that the effect of metals in study groups found negative for the expression of the Bcl2 gene.
Internet of Things Application of Intelligent and Innovative Learning Strategies in the Higher English Education System

In order to improve the effect of higher English teaching, this paper builds a higher English education system based on Internet of Things technology. The optimization aim of this study is to provide an online DRX parameter optimization technique that is compatible with the RRC protocol architecture. This work employs algorithms based on reinforcement learning to accomplish parameter optimization and dynamic control by selecting optimal DRX parameters and dynamically configuring them via decision-making processes. Furthermore, this article enhances the Internet of Things algorithm and applies it to the higher English education system that this study constructs. Furthermore, this study combines the real demands to develop the functional structure module of the higher English education system, constructs the higher English education system based on the Internet of Things system, and tests the performance of the system constructed in this paper. Finally, the system structure performance verification is carried out through mathematical statistics. The research results show that the system constructed in this paper has a good teaching effect.
Strategies to reduce product waste in the consumer packaged goods industry

The cost of waste for products such as soft drinks, shelf stable dry food, and dairy in the consumer packaged goods industry is massive, about $15 billion annually in the U.S.A. This thesis focuses on waste associated with product expiration since this type of waste involves both manufacturers and retailers as well as different functional areas such as production, warehousing, sales, procurement, and store operations. As a result, the industry has not made much progress in reducing this type of waste. We study three problems related to product expiration. Chapter 2 presents a descriptive study examining the root causes of product expiration and their impact on expiration. Using econometrics and our collaborator's data, we find that the amount of expiration can be reduced considerably via a case size reduction. We identify the next important opportunities in the areas of inventory aging in the manufacturer's supply chain and sales incentives, and thus the remainder of this thesis focuses on these two areas. Chapter 3 examines the manufacturer's sell-or-dispose decision for aged inventory. We develop an optimization model to find the minimum remaining shelf life below which the manufacturer does not sell the product since the cost of expiration is more than the sunk cost of production. We use machine learning to approximate optimum values which can be used as a low cost alternative method. If supply chain managers are held accountable for the cost of disposed items, they will have an incentive to better manage inventory. As a result, expiration will be reduced. Chapter 4 analyses sales-force compensation schemes from the perspective of product expiration caused by overselling. We develop a game theoretic model of the decision process of the manufacturer and the sales representative. We find a compensation scheme that aligns the interests of the manufacturer and the sales representative preventing overselling while achieving full profit potential for the manufacturer.
Conceptualising a framework for school leaders as they foster an inclusive education culture in schools

The need to identify and address South African school leaders' challenges in developing an inclusive education culture frames the purpose of this study. A qualitative methodology using a multiple case study design in three secondary schools was employed. Data collection ensued through focus group interviews with school management teams (SMTs) and teachers. The findings highlight areas that both challenge and overwhelm SMTs. These areas include the inadequate implementation of the screening, identification, assessment and support (SIAS) policy, the need for parent support for inclusivity, and inclusive pedagogy limitations. Furthermore, there is a need for human and financial resources to support inclusive education. The study proposes a framework that clarifies the role of the SMT in facilitating inclusivity. The framework posits the need for visionary, strategic, and social justice leadership, focuses on ways to transform the school culture, and offers practical guidance for translating the SIAS policy into practice.
Courier Satisfaction in Rapid Delivery Systems Using Dynamic Operating Regions

Rapid delivery systems where an order is delivered to a customer from a local distribution point within minutes or hours have experienced rapid growth recently and often rely on gig economy couriers. The prime example is a meal delivery system. During an operating day, couriers in such a system are used to deliver orders placed at different restaurants to different customer locations. Operating a rapid delivery network is challenging, primarily due to the high service expectations and the considerable uncertainty in both demand and delivery capacity. We seek to ﬁll a gap in the literature by considering courier satisfaction in a rapid delivery system, which may improve retention/loyalty in a highly competitive environment. Under the premise that couriers prefer to operate in relatively small geographic areas to increase their efﬁciency, we propose the novel concept of dynamic courier regions : small operating regions for couriers which can be dynamically and temporarily expanded to allow delivery capacity to be shared between neighboring regions when necessary to keep customer service performance metrics high. We propose an optimization-based rolling horizon algorithm for courier management which handles both region resizing and delivery task assignment decisions. Experimental results for realistic settings demonstrate that the proposed algorithm successfully balances customer and courier satisfaction, simultaneously achieving delivery times that are comparable to those of a single operating region and courier satisfaction metrics that are comparable to those achieved by ﬁxed, inﬂexible regions.
The impact of higher education students’ personality traits on susceptibility to specific gamification elements

This research aims to determine if higher education students with certain personality traits are susceptible to specific gamification elements in education like points, levels, rewards, and others. A quantitative survey was carried out with a sample of 382 students from the Faculty of Organizational Sciences, University of Maribor, Slovenia. A 10-term measure of the Five-Factor Model (FFM) called the Ten Item Personality Measure (TIPI) was used. Descriptive statistics were used for analyses of collected data. Based on sample means, t-tests were performed to compare population means for statements of gamification elements between groups. This research's significant findings reveal that students with specific personality traits are more susceptible to particular elements of gamification. For example, students with high expressed extraversion are more susceptible to elements like immediate feedback, verbal praises from the professors, regular progress, teamwork, and constant challenges. The research contributes to a more in-depth understanding of gamification elements and is valuable for practical application. Keywords: Big Five inventory; gamification; gamification elements; higher education; personality traits.
A Study on the Free-to-Play Model for Digital Games

Free-to-Play of Digital Game became to be one of the largest profit business models because of its stable profit and ability to attract new players. However as the services that are provided gets diversified, some problem come up with mass imbalance in the gameplay experience. Therefore in this process to organize the concepts and features of the Free-to-Play and typing research depending on the acquisition method, durability, and function of revelation target. It was able to derive the three problems, which are inequality in the gameplay experience, economic imbalance in the game world, and player's breakaway. The goal of study is to explain by giving specific examples with these three problems and offer rational solutions. These kinds of study will give a lead on how the Free-to-Play model should be applied to the Korean game market.
Probing the Extremes of Aesthetics: The Role of Typicality and Novelty in the Aesthetic Preference of Industrial Boilers

There is a long history of humans attempting to understand what drives aesthetic preference. One line of inquiry examines the effects of typicality and novelty on aesthetic responses to designed products. There is currently a wide support towards the ‘Most Advanced Yet Acceptable’ (MAYA) principle, and studies underpinning this have focused on everyday objects. Despite the differences in the function of everyday objects, what they all have in common is their visibility. This do not tell us whether the aesthetic processing will be the same when applied to less visible objects. A study was undertaken using industrial boilers as stimuli and conducted on 7-point Likert scales with participants from Australia and China. The results are unequivocal: novelty makes a medium contribution, while typicality makes a low contribution. This is inconsistent with the notion that typicality is a major determinant of aesthetic preference, suggesting that the current models of aesthetic preference need elaboration.
Study on the influence mechanism of ecological consumption behavior: taking Beijing citizens as an example

Ecological product is a major aspect in the concept of ecological civilization construction in China, which provide a practical grasp and material carrier for the theory of "Two Mountains". The realization mechanism of the value of ecological product is the key path to realize the transformation of "Two Mountains". As the main body of consumption, consumers' ecological consumption behavior directly determines the degree of value realization of ecological product. In this background, based on the theory of planned behavior, the influence mechanism model of consumer ecological consumption behavior is constructed. In this model, the values of ecological consumption is antecedent variable, the attitude of ecological consumption is intermediary variable, the reference group is moderator variable and the behavior of ecological consumption is result variable. The relationship among them was tested by partial least squares structural equation modeling (PLS-SEM). The results show that the ecological consumption values positively predict the ecological consumption attitude, while the ecological consumption attitude positively predicts the ecological consumption behavior. Moreover, the relationship between the ecological consumption values and the ecological consumption attitude is positively regulated by the reference group.
Mode Composite Folded Substrate Integrated Waveguide

This letter presents a planar mode composite folded substrate integrated waveguide (MCFSIW) that enables simultaneous propagation of the TE10 and folded TE10 (FTE10) modes. By adjusting the gap width of the MCFSIW, the cutoff frequency of the FTE10 mode can be tuned to be the same as that of the TE10 mode. The operation principle and propagation properties of the MCFSIW are analyzed. To excite the two modes independently, a simple joint feeding network (JFN) with a wide bandwidth and a high isolation is designed. A prototype of the MCFSIW with JFNs is fabricated and measured, and the measured results agree well with the simulations. The proposed MCFSIW is attractive in the development of multifunction and parallel data transmission systems.
Spreading Scientific Knowledge in China: Personalized Social Media Influence Elements

China’s society continues to be shaped by social media, which is both inescapable and indispensable. Remarkably, the majority of Chinese firms and private organizations have achieved success by making use of the possibilities provided by social media platforms. Notwithstanding incredible successes via social media, the majority of Chinese social media users lack scientific understanding, and as a result, there is a deficiency in the dissemination and popularization of scientific information among users of Chinese social media platforms. To bridge this gap, this study investigates specific features of social media based on scientific knowledge and proposes a scientific information propagation framework characterized by individual impact characteristics such as personal message, personal branding, service mentality strategy, exciting content, accurate and authentic, real-time streaming, and exclusive events. Among these factors, personal branding acquired a factor score of 23%, real-time streaming acquired a factor score of 20%, and service attitude approach received a factor score of 19.5%. Similarly, real and authentic personal messaging had a factor score of 15.6%. From the outcomes, we anticipated that personal or individual impact elements, such as personal branding, might affect the diffusion and popularization of scientific information among Chinese social media users.
Effect of loneliness and sociodemographic, health, COVID-19 pandemic-related factors on depression among older adults

ABSTRACT The present study aimed to identify the presence of depression in older adults and the affecting factors during the COVID-19 pandemic. This cross-sectional study was conducted online with 1320 deliberately recruited older adults in Turkey between February and May 2021. The variables were depression, loneliness, fear of COVID-19, and other sociodemographic health variables. In the study, we used the Geriatric Depression Scale, Loneliness Scale, and the Fear of COVID-19 Scale and RLa form including items inquiring information about sociodemographic and COVID-19 related characteristics and health conditions of the participants. In this study, we detected probable-definite depression in 73.8% of the participants. According to the results of multiple logistic regression analysis, we concluded that social and emotional loneliness, increased fear of COVID-19, perceived insufficient income, presence of chronic disease, managing activities of daily living only with assistance, irregular sleep and diet patterns, future anxiety, alcohol use, perception of mental health being negatively affected by the pandemic, and living in regions outside the Mediterranean Region affected the state of probable-definite depression in the participants. Depression was high in older adults during the pandemic. Psychosocial and health promotion interventions for depression risk factors determined from multivariate regression analysis, may enable older adults, who have become more vulnerable due to the restriction measures applied during the COVID-19 pandemic, to be less affected by this period.
Suitability of Nafada Gypsum for the Production of Jute Fibre Reinforced Plasterboards

High demand for Plaster of Paris (POP) in the Nigeria building industry, particularly within the north-east geopolitical zone has made local procurement of the raw gypsum inevitable. The study was conducted to evaluate the characteristics of gypsum from Nafada mining site, one of the northeast rich gypsum deposits with an estimated reserve of 751,728.00 metric tons. Sample of gypsum from the site was obtained and its physical and chemical properties were determined. It was calcined into POP in an oven between 115 o C (240 o F) and 200 o C (392 o F). The ratio of water: plaster was adopted as 200ml/400g with impact resistance as 7.9mm and flexural strength as 4.72N/mm 2 . Absorption tests were carried out to ascertain the viability of the mineral in POP production. 0.5% of sisal fiber showed lower rate of 25.4% water absorbency. The result confirmed that Nafada gypsum is suitable for the production of POP for use in plasterboards, with jute fibre as reinforcing material. Key words : Nafada gypsum; Plaster of Paris; Building.
3D Facial Shape Reconstruction Based on Pose Estimation

Aiming at facial pose request in reconstructing 3D face model, a new method to reconstruct 3D face shape model from a single face image is proposed. First, the method of face pose estimation is described in detail. Then, the spare 3D face shape model is reconstructed by principal component analysis (PCA). Finally, the final 3D face shape model is obtained using radius base function. Experimental results show that the proposed method can obtain precise reconstruction model and is more efficient with face image under rotated pose.