Miracle-dz/UniFAR-FTUs huggingface dataset:
HRITI - Human Robot Interaction with Translational Intelligence

In today’s manufacturing and supply chain industries, robots play an increasingly prominent role. The presence of robots in the day-to-day life of humans are estimated to increase rapidly in the next couple of decades. Modern-day robots are designed to perform specific tasks and not to connect with humans emotionally. Humanoid robots aim to solve this problem by resembling humans in appearance and body mechanisms. This paper focuses on designing and constructing ”HRITI”, a female humanoid robot capable of generating various facial expressions, voice outputs, and body movements, allowing it to track its environment and perform actions based on it. This is achieved by designing and 3D printing the robot’s body mechanism, coupled with motors and electronic control system consisting of various processing units and actuators. The skin of the robot’s face is made of liquid silicone by using a 3D printed mould and mould press. An 8-bit Atmel microcontroller is programmed with firmware written in embedded C to access sensor data and control the robot’s body movement via AT commands, which can be accessed and controlled by the Raspberry Pi 4 combined with an AI-accelerator hardware such as Google Coral. This will benefit potential artificial intelligence researchers by providing a low-cost, open-source robot hardware platform for research in socio-emotional interactions between humans and machines. The existing robotic faces are not natural and do not show many emotions.
The Nexus of Storytelling and Collective Learning: A Synergistic Spark for Human Emergence

This paper explores the implications of storytelling as an essential complimentary concept to collective learning for labeling human emergence within the Big History thresholds framework. It proposes that the distinctively human cognitive capability for communicating explanatory descriptive narration (i.e., storytelling) was a foundational adaptive behavior and central driving force that launched humans into a unique evolutionary pathway as collective learners whose increasing knowledge has transformed the world. Storytelling provides a theorem for why human language skills and brain capacity increased so dramatically since our common ancestor with chimpanzees, and how our storytelling brain models our world through narratives that undergird human belief systems and facilitate complex social coordination. The paper outlines the symbiotic role that storytelling played in turning the cultural “ratchet” of collective learning throughout prehistoric times and its corresponding influence on prehistorical milestones. It goes on to explore the benefits of teaching storytelling as a complement to Big History threshold (6) collective learning and concludes with a look at the vulnerability of the human storytelling brain regarding its ability to unite or divide people through the power of narratives, whether they are factual or fictional. The paper invites the Big History community to consider embracing the emerging transdiscipline of storytelling within the Big History tent as synergistic complement to collective learning, that pulls together many Big History threads and which can help improve the effectiveness of telling Big History as a common human origin story for navigating the precarious prospects of the Anthropocene.
Novel broadband circularly polarized pentagonal printed antenna design for wireless power transmission applications

This paper provides a new conception for a microstrip patch antenna array that operates in a circularly polarized manner for wireless power transmission (WPT) at 2.45 GHz. The proposed conception combines four pentagonal patches and the defected ground structure (DGS) method. The antenna array with a dielectric constant of 4.4 and a tangential loss of 0.025 is printed on a FR4 where its thickness is about 1.58 mm. The developed design aims to optimize the antenna array performance. Th e main contribution, to the telecommunications and WPT fields, is to achieve a maximum energy transfer with low losses, while also ensuring adequate adaptation to the excitation port. To prove the effectiveness of this design, simulation results were obtai ned using computer simulation technology microwave studio (CST MWS) software and validated by another solver high - frequency structure simulator (HFSS). Simulation results are presented and compared with those obtained using existing conceptions in the lite rature. The proposed design has proven to be very effective in achieving the intended objectives, which makes this design very good for radiofrequency (RF) energy collection and its various applications to power a variety of devices without harming our pla net.
Effect of Foliar Application by Chitosan on Five Garlic Genotypes in Aswan the Southern Egypt

A field experiment was carried out during the two consecutive winter seasons of 2018/2019 and 2019/2020 in the Experimental Farm, Faculty of Agriculture and Natural Resources, Aswan University, Egypt. The objective of study was to evaluate the response of five garlic genotypes, ( Egaseed1, Sids40, Clone 3, Clone 4 and Clone 5 ) to the foliar application of chitosan ( 0 , 1.5 , 2 and 2.5 cm/L ). The results showed that the highest leave number was obtained by Clone 4 and Clone 5 in both seasons respectively. Whereas the highest leave number was obtained by control and 1.5 cm/L respectively. Through highest plant was Clone 3, Clone 5 respectively . While the highest plants were obtained by 1.5 cm/L . The highest fresh and cured yield ton / fed were obtained by Clone 4 and Clone 5 in both seasons respectively. While the highest fresh and cured yield ton / fed were obtained by 2 cm/L and control respectively. Meanwhile the highest Garlic bulb diameter after curing was obtained by Clone 5 and sids40 in both seasons respectively. While the highest Garlic bulb diameter after curing was obtained by 2cm/L . Meantime highest Average clove weight after curing was obtained by Clone 3 and sids40 respectively. While highest Average clove weight after curing was obtained by 2 cm/L and control respectively. Meanwhile highest T.S. S after curing was Egaseed1, Clone 4 respectively. While the highest T.S. S after curing was obtained by 2.5 cm/L respectively. Meanwhile lowest Weight loss percentage after curing was sids40, Clone 5 respectively. While the lowest Weight loss percentage after curing was obtained by 2cm/L and 2.5 cm/L respectively.
Unveiling a Biomarker Signature of Meningioma: The Need for a Panel of Genomic, Epigenetic, Proteomic, and RNA Biomarkers to Advance Diagnosis and Prognosis

Simple Summary MRI and histological assessment remain the gold standard for meningioma diagnosis. Currently, WHO grading of meningiomas mainly depends on histologic and morphological markers and two molecular markers. WHO grading can reliably diagnose meningiomas in most cases. However, it was not as dependable in predicting prognosis, especially time to recurrence of Grade 1 and 2 meningiomas. This warrants the integration of new biomarkers into the current WHO grading system of meningiomas. Future meningioma biomarkers need to utilize an array of molecular technologies for biomarkers discovery, including genomic, epigenetic, proteomis, metabolomic, and RNA biomarkers, as well as a panel format to complement the existing WHO grading. The majority of candidate meningioma molecular biomarkers are still experimental and need to undergo testing in clinical trials, but their application in meningioma diagnosis will be necessary to guide future targeted therapies of meningiomas. Abstract Meningiomas are the most prevalent primary intracranial tumors. The majority are benign but can undergo dedifferentiation into advanced grades classified by World Health Organization (WHO) into Grades 1 to 3. Meningiomas’ tremendous variability in tumor behavior and slow growth rates complicate their diagnosis and treatment. A deeper comprehension of the molecular pathways and cellular microenvironment factors implicated in meningioma survival and pathology is needed. This review summarizes the known genetic and epigenetic aberrations involved in meningiomas, with a focus on neurofibromatosis type 2 (NF2) and non-NF2 mutations. Novel potential biomarkers for meningioma diagnosis and prognosis are also discussed, including epigenetic-, RNA-, metabolomics-, and protein-based markers. Finally, the landscape of available meningioma-specific animal models is overviewed. Use of these animal models can enable planning of adjuvant treatment, potentially assisting in pre-operative and post-operative decision making. Discovery of novel biomarkers will allow, in combination with WHO grading, more precise meningioma grading, including meningioma identification, subtype determination, and prediction of metastasis, recurrence, and response to therapy. Moreover, these biomarkers may be exploited in the development of personalized targeted therapies that can distinguish between the 15 diverse meningioma subtypes.
Archive Compiles New Resource for Global Tropical Cyclone Research

The International Best Track Archive for Climate Stewardship (IBTrACS) compiles tropical cyclone best track data from 11 tropical cyclone forecast centers around the globe, producing a unified global best track data set (M. C. Kruk et al., A technique for merging global tropical cyclone best track data, submitted to Journal of Atmospheric and Oceanic Technology, 2008). Best track data (so called because the data generally refer to the best estimate of a storm's characteristics) include the position, maximum sustained winds, and minimum central pressure of a tropical cyclone at 6-hour intervals. Despite the significant impact of tropical cyclones on society and natural systems, there had been no central repository maintained for global best track data prior to the development of IBTrACS in 2008. The data set, which builds upon the efforts of the international tropical forecasting community, has become the most comprehensive global best track data set publicly available. IBTrACS was created by the U.S. National Oceanic and Atmospheric Administration's National Climatic Data Center (NOAA NCDC) under the auspices of the World Data Center for Meteorology.
PEMETAAN RELIGIOSITAS SEBAGAI BAGIAN DARI MODEL PENGELAKAN PAJAK PADA PELAKU UMKM DI INDONESIA

This study aims to map religiosity in the tax evasion model. Using the survey method, the questionnaire was distributed to MSME actors in Indonesia. This study used random sampling (random sampling). The samples collected and the data ready to be processed were 132. The moderating effect in the model was processed using the moderated regression analysis technique. The results of this study are that religiosity does not moderate the influence of culture and income on tax evasion. Future research can use demographic variables as control variables to get more robust results.
Mediating Role of Leadership Style on Organizational Citizenship Behavior in the Public Service Sector

This study examined the relationships between transformational and transactional leadership and organizational citizenship behavior in the Public Service Sector of Sierra Leone. While most prior studies have examined transformational leadership-organizational citizenship behavior and transactional leadership-organizational citizenship behavior relationships in developed countries from the western world, testing the mediating inﬂuence of transactional and transformational leaderships on employees’ citizenship behaviors in public sector organizations in Africa remains scarce. It also tries to ﬁll a critical research gap in human resource management by focusing on a non-western context. The constructs: transformational and transactional leadership, organizational citizenship behavior are not very familiar in the human resource research domain in Sierra Leone as opposed to other styles of leadership like Autocratic, Laissez faire etc that are commonly used. Consequently, the broader objective of this research was to examine the links between transformational leadership, transactional leadership, and organizational citizenship behavior at the Public Service Sector in Sierra Leone. To enrich the debate further, this study explored the relationship between transformational and transactional leadership styles and employees’ organizational citizenship behavior. The research questions focused on the correlation between leadership styles and organizational citizenship behavior (OCB). To achieve the objective of the research, a case study research design was used; Quantitative research technique also used; the main variables in the study were used to design a questionnaire in collecting the data: using a sample population of 250 through simple random sampling to conduct this study. This research followed a structural equation model (SEM) approach with validity and reliability tests done to validate the data before testing the hypothesis. The survey planet - a virtual data analysis software was used to analyze the completed online survey items. It has an automated analysis system. The likert scale of 1 to 5 was used to gauge responses from respondents. Statistical analysis method is used for the analysis. Based on the results obtained, the study deduces implications for both theory and practice. Hence, all public service institutions must raise managers' awareness and train them properly so that they can eﬃciently improve and manage the aﬀairs of the institution. Limitations and suggestions for upcoming studies have been discussed.
Design and Prototyping of a 3DOF Worm-drive Robot Arm

Many designs for robot arms exist. Here we present an affordable revolute arm, capable of executing simple pick-and-place tasks. The arm employs a double parallelogram structure, which ensures its endpoint angle in the plane of the upper arm remains fixed without the need for additional actuation. Its limbs are fabricated from circular tubes made from bonded carbon fiber, to ensure low moving mass while maintaining high rigidity. All custom structural elements of the arm are produced via 3D printing. We employ worm-drive DC motor actuation to ensure that stationary configurations are maintained without the necessity of continuous motor power. Our discussion encompasses an analysis of the arm's kinematics. A simulation of the arm's operation was carried out in MATLAB, revealing key operational metrics. In conclusion, we achieved extrinsic endpoint position tracking by implementing its inverse kinematics and PID control using a microcontroller. We also demonstrate the arm's functionality through simple movement tracking and object manipulation tasks.
Agricultural Price Prediction Models: A Systematic Literature Review

Agricultural product price prediction is an effort to anticipate the impact of changes in product prices. Various methods have been used to predict the prices of various agricultural products. The purpose of this study is to review various methods of predicting agricultural product prices in the literature study and to provide future research challenges. A comprehensive review of the research topic is presented in the Systematic Literature Review. The text mining approach is used to see an overview of research based on the appearance of words in the article. The results showed that the methods commonly used to predict the price of agricultural products are Artificial Intelligence (30%), Data Mining (22%), and Regression (18%). The contribution of this research includes the latest research positions, recommendations for the best methods, and proposals for future research taking into account the current pandemic conditions
Morphological identification of Skrjabinisakis Mozgovoi, 1951 (Nematoda: Anisakidae) in Kogia sima (Cetacea: Kogiidae) from Brazilian waters

Abstract New morphological, morphometric and scanning electron microscopy data of a nematode of the family Anisakidae, recovered from a specimen of Kogia sima, a cetacean that died off the northern coast of Brazil, are presented in this paper. Morphological features such as the violin-shaped ventricle and short and equal spicules, as well as the distribution of post-cloacal papillae and specificity for the definitive host (Kogiidae cetaceans) demonstrate similarity to Skrjabinisakis paggiae. This research records Kogia sima and S. paggiae on the estuarine coast of Pará, northern Brazil.
Research on recommendation algorithm of private charging pile based on collaborative filtering

Aiming at the charging difficulty of electric vehicles, this paper starts from the idea of private charging pile sharing, takes into account the needs of electric vehicles, and builds an intelligent recommendation model by adopting the collaborative filtering algorithm. By analyzing and quantifying the characteristics of electric vehicle charging demand, an evaluation model for the selection of private charging piles by electric vehicles is constructed to truly reflect the preferences of electric vehicles for charging piles. By introducing collaborative filtering recommendation algorithm, the recommendation model is proposed to obtain final recommendation results. The simulation results show that the proposed recommendation model can provide effectively charging guidance service for electric vehicles by setting the optimal recommended list length and optimal neighbor length.
OXYGEN STORES, CARBON DIOXIDE ACCUMULATION AND NUTRITIONAL STATUS AS DETERMINANTS OF DIVING ABILITY OF STELLER SEA LIONS (EUMETOPIAS JUBATUS)

ii! Preface . iii! Table of contents . iv! List of tables . vii! List of figures . viii! List of abbreviations . x! Acknowledgements . xi! Chapter 1: Introduction . 1! Body oxygen stores & the aerobic dive limit . 2! Respiratory drive & carbon dioxide . 3! Steller sea lions & nutritional stress . 5! Research goals . 6! Chapter 2: High diving metabolism results in a short aerobic dive limit for Steller sea lions (Eumetopias jubatus) . 9! Summary . 9! Introduction . 9! Methods . 12! Study design/data collection . 12! Diving metabolic rate . 12! Resting metabolic rate of non-diving animals . 14! Total body oxygen stores . 14! Statistical analysis . 16! Results . 16! Blood oxygen stores of diving and non-diving sea lions . 16! Metabolic rate . 17! Aerobic dive limit of Steller sea lions . 21! Discussion . 22! Oxygen stores and consumption . 22! Aerobic Dive Limit . 24! v Chapter 3: Steller sea lions (Eumetopias jubatus) have greater blood volumes, higher diving metabolic rates and a longer aerobic dive limit when nutritionally stressed . 27! Summary . 27! Introduction . 27! Methods . 30! Study design/data collection . 30! Diving metabolic rate . 31! Blood oxygen stores . 32! Body composition . 33! Aerobic dive limit . 33! Statistical analysis . 33! Results . 34! Oxygen stores & body composition . 34! Dive metabolism and behaviour . 37! Discussion . 44! Chapter 4: Sensitivity to hypercapnia and elimination of CO2 following diving . 51! Summary . 51! Introduction . 51! Methods . 54! Data collection . 54! Ventilation in resting animals . 54! Diving trials . 55! Statistical analysis . 56! Results . 57! Hypercapnia and hypoxia on ventilation rate . 57! Hypercapnia and hypoxia on dive behaviour and metabolism . 60! Hypercapnia and hypoxia on post-dive recovery of CO2 production and O2 consumption . 60! Discussion . 62! Ventilation and dive behaviour . 62! Recovery from diving . 66!
The Impact of Filipina Domestic Workers on Hong Kong Primary School Children’s L2 English Spoken CAF and Reading Accuracy and Fluency

This study investigates the impact of Filipina domestic workers (FilDWs), a marginalized group in Hong Kong (HK), on HK children’s language development. It focusses on FilDWs’ influence on the second language (L2) English of bilingual HK primary school children attending an English Medium of Instruction school. The elements investigated are L2 English spoken complexity, accuracy, and fluency (CAF), and reading accuracy and fluency. Participants comprise 34 children (17 boys and 17 girls, mean age 8;11) from homes with FilDWs and 30 (15 boys and 15 girls, mean age 8;11) from homes with no FilDW. Participants completed an English reading and speaking task, and an English working memory capacity (WMC) test. Participants from households with FilDWs scored significantly higher on all aspects of both English language measures, while no significant differences for WMC were observed. These suggest that FilDWs exert a positive impact on children’s L2 English proficiency, placing them in a different position to the low status they are usually ascribed. These findings have implications for decolonizing and decentring language learning and teaching.
On the use of artificial intelligence in predicting the compressive strength of various cardboard packaging

Artificial intelligence is increasingly used in various branches of engineering. In this article, artificial neural networks are used to predict the crush resistance of corrugated packaging. Among the analysed packages were boxes with ventilation openings, packages with perforations and typical flap boxes, which make the proposed estimation method very universal. Typical shallow feedforward networks were used, which are perfect for regression problems, mainly when the set of input and output parameters is small, so no complicated architecture or advanced learning techniques are required. The input parameters of the neural networks are selected so as to take into account not only the material used for the production of the packaging but also the dimensions of the box and the impact of ventilation holes and perforations on the load capacity of individual walls of the packaging. In order to maximize the effectiveness of neural network training process, the group of input parameters was changed so as to eliminate those to which the sensitivity of the model was the lowest. This allowed the selection of the optimal configuration of training pairs for which the estimation error was on the acceptable level. Finally, models of neural networks were selected, for which the training and testing error did not exceed 10%. The demonstrated effectiveness allows us to conclude that the proposed set of universal input parameters is suitable for efficient training of a single neural network model capable of predicting the compressive strength of various types of corrugated packaging.
Specifications and control of spatial frequency errors of components in two-beam laser static holographic exposure for pulse compression grating fabrication

Abstract The large-aperture pulse compression grating (PCG) is a critical component in generating an ultra-high-intensity, ultra-short-pulse laser; however, the size of the PCG manufactured by transmission holographic exposure is limited to large-scale high-quality materials. The reflective method is a potential way for solving the size limitation, but there is still no successful precedent due to the lack of scientific specifications and advanced processing technology of exposure mirrors. In this paper, an analytical model is developed to clarify the specifications of components, and advanced processing technology is adopted to control the spatial frequency errors. Hereafter, we have successfully fabricated a multilayer dielectric grating of 200 mm × 150 mm by using an off-axis reflective exposure system with Φ300 mm. This demonstration proves that PCGs can be manufactured by using the reflection holographic exposure method and shows the potential for manufacturing the meter-level gratings used in 100 petawatt class high-power lasers.