Miracle-dz/UniFAR-FTUs huggingface dataset:
Nursing Home Residents' Perceptions on Ego-Integrity Achievement in Nursing Home

: This study was to uncover the nature of in-depth and specific experiences by identifying the awareness of the achievement of ego-integrity among senior citizens living in nursing homes. The purpose of this is to provide basic information on the achievement of ego-integrity of the elderly living in nursing homes. The subjects were 7 elderly people living in two elderly care facilities in Gyeonggi and Incheon, Korea, with whom one-on-one in-depth interviews were conducted. The data were collected from December 2019 to January 2020 and analyzed using traditional content analysis. Content analysis is a systematic and objective method that analyzes explicit or potential content by classifying and evaluating it to confirm the meaning and effect of major data symbols or subjects. Upon the analysis, the nursing home residents’ perceptions revealed five categories of means to achieve ego integrity: maintaining harmonious relationships, a companion to talk with service, maintaining autonomous functions, maintaining passive and active activities, and spiritual stability from participating in religious activities. The results of this study are meaningful in that they presented the necessary documents and supporting data to prepare a management plan for the nursing practitioners for the achievement of ego-integrity of the elderly living in nursing homes. Based on this study’s results, follow-up research is necessary to verify the effectiveness and development of nursing practitioner education and intervention programs to help nursing home residents achieve ego integrity.
Description in course of mathematical methods for physics and possible development of course program

The essence of mathematics is a thought process in constructing, applying abstract ideas, and their logical interrelationships. This process is essential in solving quantitative and qualitative physics problems, where abstract ideas are required to represent physical phenomena. This study aims to give detail description of the process of mathematical methods for physics lectures. Improvement in pre-service physics teachers' critical thinking is designed to strengthen their critical thinking and problem-solving skills. The methodology of research is qualitative descriptive. The research subjects were 97 preservice physics teachers who had followed the mathematical methods for physics courses and teaching lecturers. Data collection consisted of questionnaires, and interviews. Observations are needed for describing the implementation of mathematical methods for physics courses, document analysis, and data collection, including lesson plan and assessment. The results showed that mathematical methods for physics courses need improvement in the learning process. It is concluded that lecture activities integrating computers into physics and mathematics are necessary to be implemented. It is expected that the program will improve students' ability in problem-solving, critical thinking skills, communication, digital era literacy, creative and innovative creations, and group work. Specifically, implementation of the program in the ordinary differential equations course can provide learning experiences to students regarding the process of reasoning in physics using mathematical principles.
Prediction of stock values changes using sentiment analysis of stock news headlines

ABSTRACT The prediction and speculation about the values of the stock market especially the values of the worldwide companies are a really interesting and attractive topic. In this article, we cover the topic of the stock value changes and predictions of the stock values using fresh scraped economic news about the companies. We are focussing on the headlines of economic news. We use numerous different tools to the sentiment analysis of the headlines. We consider BERT as the baseline and compare the results with three other tools, VADER, TextBlob, and a Recurrent Neural Network, and compare the sentiment results to the stock changes of the same period. The BERT and RNN were much more accurate, these tools were able to determine the emotional values without neutral sections, in contrast to the other two tools. Comparing these results with the movement of stock market values in the same time periods, we can establish the moment of the change occurred in the stock values with sentiment analysis of economic news headlines. Also we discovered a significant difference between the different models in terms of the effect of emotional values on the change in the value of the stock market by the correlation matrices.
Enhancing international student experience: pre-support support services provided to postgraduate international students in a Malaysian research university

ABSTRACT The literature on international students predominantly emanates from the Western perspective and offers rich insights into international students’ adaptation experiences. While university services improve these experiences, limited studies have investigated the role of pre-support assistance prior to students’ arrival. This paper fills that gap from a non-Anglophone perspective, using 31 semi-structured, thematically analysed interviews with postgraduate international students in a Malaysian university. As country-specific research, this paper highlights practices of pre-support services for incoming international students in order to improve their experiences at a Malaysian research university. Pre-assistance provided includes the Student Ambassador Program (SAP), pre-information provided by friends and colleagues, and academics building rapport with students prior to arrival. This has a positive impact on levels of such students’ engagement, satisfaction, motivation and sense of belonging to the institution.
Role of the Rove Beetle, Paederus memnonius (Erichson) (Coleoptera : Staphylinidae) in Controlling Certain Sugar Beet Pests for the First Time in Egypt

Pest predators are gaining more importance in pest management programme since pesticides lead to many serious problems like air and water pollution, health hazards, killing of beneficial organisms, pest resistance, pest resurgence, secondary pest outbreak, interruption in ecocycles ect. Thus, this study was performed at the farm of Sakha Agricultural Research Station in Kafr El-Sheikh Governorate throughout two successive seasons 2018/2019 and 2019/2020 to find out the efficacy of the staphylinid, P.memnonius as an important predator in regulating the population of sugar beet pests. Results proved that highly significant positive correlations were attained between P. memnonius and cotton leaf worms, Agrotis ipsilon (Hufnagel) , Cicadellidae, aphids, Pegomyia mixta (Villeneuve), Scrobipalpa ocellatella (Boyd), Cassida vittata (Viller), Lixus junci (Boheman) and snails ( Monacha spp.) with values; 0.601**, 0.711**, 0.602**, 0.731**, 0.612**, 0.733**, 0.811**, 0.831** and 0.611**, respectively during 2018/2019 season. 0.602**, 0.613**, 0.610**, 0.701**, 0.634**, 0.702**, 0.801**, 0.802** and 0.633** respectively during 2019/2020 seasons. The common prey of this predator were; leaf cotton worms, A.ipsilon, Cicadellidae, aphids. P.mixta , S.ocellatella, C.vittata, L.junci and snails with 4.00, 2.66, 8.57, 6.66, 16.00, 17.33, 24.00, 13.33 and 8.00%, respectively, throughout 2018/2019 season, 2.85, 1.42, 5.71, 8.57, 20.00, 21.42, 22.85, 12.85 and 4.28%, respectively during 2019/2020. In conclusion this study is a necessary step to know the role of this predator in biological control to some sugar beet pests.
Method for constructing a network of urban roads using satellite images

An automatic method for recognizing the urban network of highways on high-resolution satellite images has been developed and implemented, based on the use of the Mask-RCNN convolutional neural network. The results of the neural network operation are post-processed by the Hough transformation and algorithms of mathematical morphology. The proposed method has acceptable accuracy and high speed of detection of asphalt urban roads.
Deep‐Water Formation in the North Pacific During the Late Miocene Global Cooling

A multiproxy study including organic carbon and bulk nitrogen isotopes along with major and trace element concentrations in sediments from Integrated Ocean Drilling Program (IODP) Sites U1425 and U1430 in the Japan Sea have been conducted in order to trace deep‐water evolution in the Japan Sea and the North Pacific since the late Miocene. The high total organic carbon (TOC) flux, as well as other published geochemical and sedimentary evidence, indicates the occurrence of anoxic deep‐water in the Japan Sea before ∼7.4 Ma. The low‐nitrogen isotope values probably suggest nearly complete denitrification. In contrast, the sharply enhanced biological production but decreased burial of organic matter during ∼7.4–4 Ma, as shown by high enrichment factor of Ba (BaEF) values, together with low TOC flux, highlights enhanced deep‐water oxygenation in the Japan Sea during that time. We suggest that deep‐water formation in the North Pacific ventilated the deep Japan Sea via northern deep seaways before the sea became semi‐closed in the early Pliocene. The synchronously increased equator‐to‐pole temperature gradients driven by late Miocene global cooling may have caused southward shift of mid‐latitude storm tracks, coupled with the weakened East Asian summer monsoon and moisture transport, leading to decreased precipitation in mid‐latitude regions. The potential increases in surface salinity in the North Pacific may have broken the ocean stratification and favored deep‐water formation, and further caused deep‐water ventilation in the Japan Sea.
Mathematical modelling of operation of the hydraulic support system of the powered support sections with impulse-free continuous regulation of its resistance to the roof rock lowering

The article describes the mathematical model of a hydraulic support system of the powered support sections with impulse-free continuous regulation of its resistance to the roof rock lowering. Safety valves of the hydraulic support perform only protective functions. Mathematical modeling was carried out using the Runge-Kutta method and the Wolfram Mathematica computer algebra system. The results of modeling the transient process of the hydraulic support system with a built-in block for regulating its resistance during impulse loading of the support section with a collapsed roof rock block at “Polosukhinskaya” mine are presented.
Towards Future BIM Technology Innovations: A Bibliometric Analysis of the Literature

The evolution of the construction industry is associated with the continuous implementation of new technologies. Building Information Modelling (BIM) has revolutionised the collaboration and data sharing processes in the architecture, engineering, and construction (AEC) industry. However, it needs to be supported by new technologies that can embrace digital construction by transforming the construction industry into a dynamic environment. There is a lack of understanding of the cutting-edge technologies that have emerged to help with the digital transformation of the construction industry. There is a need to understand all these technologies and how they can be leveraged holistically towards future BIM innovations. Therefore, this article conducts a literature review to evaluate how targeted cutting-edge technologies can be utilised to release the full potential of BIM from a technical perspective. A bibliometric analysis focusing on the co-occurrence of keywords related to various technologies, their links with BIM, and their related research themes was conducted based on the Web of Science (WoS) database holdings from 2010 to 2019. The findings demonstrate that one type of technology can help with solving a specific issue. However, using one technology alone does not solve an issue entirely. The current technology has been utilised independently and not as a coherent system. Thus, a weak information integration and management approach can restrict the leveraging of a smart BIM environment. This paper is not meant to be exclusive. Many new technologies, concepts, and ideas can be added to help realise BIM potentials that are not covered in this study. Furthermore, the analysis was based on the dataset retrieved from WoS and only included the literature in English. Based on those findings, the authors indicated a technology fusion to support BIM development.
Text data-augmentation using Text Similarity with Manhattan Siamese long short-term memory for Thai language

In this paper, we address the issue of using small text datasets for learning of neural networks. We explore the method that is used with image and sound datasets to augment data for increasing the performance of models. We then leverage this data augmentation technique to expand the training set of textual data. A great challenge in our dataset is that the amount of data is insufficient for training models. For this reason, we propose a method for augmenting text data specifically for Thai language which is based on Text Similarity and using the model to determine the semantic relationship between two sentences. The experimental results indicated that our proposed method is able to improve the performance of text classification.
Students’ Perceived Experiences of Competitive Activities Through Electronic Platforms

The purpose of this study was to understand students’ experiences through digital YouTube clips focusing on middle school competitive activities in physical education class. This study was guided by the transactional framework, which states that individuals and institutions, in this case students and competitive activities in physical education class, create certain transactions, and these transactions are shared. Twenty-six YouTube posts were examined. The data were analyzed using the constant comparative method to find patterns in the posting of students’ experiences of participating in these activities. Three major themes of the digital clips clearly emerged. These themes included (a) perceived skill level—the low-skilled student, the athlete, and the Olympian; (b) student demonstration of skills; and (c) teacher-directed experience. These findings suggest that students share transactions in both images and the spoken experiences they are having during competitive activities.
Internet of things for flood and landslide early warning

The purpose of this study is to improve the use of technology for the occurrence of a disaster as a form of anticipation in a disaster-prone area and tourist area. The method used in this research was a descriptive research method where the data obtained from events that occur in a particular region. The results of this study indicate that technological innovation is needed to monitor floods and landslides because based on the data from National Disaster Management Agency (BNPB) on the occurrence of disasters in Indonesia. There are still many areas that prone to natural disasters especially floods and landslides. The important role of the technology is to increase the level of confidence and security of tourists towards the potential for a disaster that occurs and can improve the tourism industry economy.
Combined non-convex optimization algorithms based on differential evolution, harmony search, firefly, and L-BFGS methods

The paper presents an approach to the numerical investigation of the problems of finding a global optimum of multiextremal functions, based on the use of bioinspired and local search methods. Three combined non-convex optimization algorithms are proposed and implemented. As globalized bioinspired methods, differential evolution, harmony search, and firefly methods are used. For local descents, we used the L-BFGS method. The numerical study of modifications of the implemented approach has been carried out using known non-convex test functions. The developed algorithms have been applied to investigate the problem of the optimal orientation of the aircraft in space. The obtained numerical results allowed us to demonstrate the efficiency of the proposed algorithms.
Lifetime enhancement of wireless sensor network using solar energy harvesting technique

Harmandeep Kaur, Electronics and Communication, I.K. G Punjab Technical University, Jalandhar, India. Email: harmandeep77177@gmail.com Abstract The finite energy of batteries associated with wireless sensor networks is a major constraint, which limits its lifetime. One of the methods to overcome this major limitation is the energy harvesting (EH) systems. There are many energy sources available nowadays, but solar energy is flexible, mature and is an external power source; so, it is broadly utilised for EH in the wireless sensor network to enhance the life of the network. The solar EH technique along with the low energy adaptive clustering hierarchy protocol is applied. The charging and discharging curves of the battery and energy status of the nodes are propounded. The simulation results demonstrate that the lifetime of the battery and the network gets augmented after applying the solar EH technique.
Multi-factors influence of anchorage force on surrounding rock under coupling effect of creep rock mass and bolt/cable

Abstract Assuming that relative sliding does not occur to the coordinated deformation of bolt/cable and surrounding rock, a constitutive model of coupling effect between bolt/cable and creep surrounding rock is established to study the variation law of anchorage force on surrounding rock with time increasing, the parameters of physical-mechanics of bolt/cable and the mechanical parameters of surrounding rocks analyzed, and the sensitivity of the above parameters to anchorage force compared using sensitivity analysis method. Results show that the validity and effectiveness of the proposed constitutive model is verified by numerical simulation. And the main factors affecting the anchorage force for creep rock are diameter (D), elastic modulus (E c), and initial pre-stress force (F) of bolt/cable, viscoelastic modulus (E R), viscoelastic coefficient (η R) and initial in situ stress (σ 0) of surrounding rocks, respectively. For bolt or cable, increasing the parameter values of D, E c and F can strengthen the anchorage force; while for surrounding rocks, large value of σ 0 and small value of η R are beneficial to the exertion of anchorage force. The sensitivities of these factors from high to low are D, E R, σ 0, E c, F, η R, respectively. The result can provide some guidance for the formulation of on-site support scheme and parameters selection.
Risk Assessment of Ship Traffic Safety in Port Waters Based on AIS Data

Maritime safety has always been a matter of great concern to people, and ship traffic safety is one of the most important parts of maritime safety. The port is the starting and ending point of maritime traffic and the connection point of land and sea transportation. Due to the increase in ship traffic, the increase in transport tonnage, and the increase in dangerous goods, the water traffic environment has become more crowded and more dangerous. Under such complex traffic environment conditions, new perspectives should be used to study ship traffic in port waters. Security related issues. Based on the real AIS data of port waters, this paper proposes a new method of ship traffic safety risk assessment by reproducing the trajectory of ships.
Effects of temperature on electrochemical impedance spectroscopy of the LiFePO4 battery

Change in temperature affects cycle life and performance of the LiFePO4 battery. Thus, different temperature (-20°C∼45°C) performance of the LiFePO4 battery was investigated by electrochemical impedance spectroscopy (EIS). The prismatic 40 Ah batteries testing was utilized to show the effect of increasing temperature on ohmic impedance (RΩ) and charge transfer internal resistance (Rct), and evaluate electrical performance consistency of a batch of batteries The results showed that the effect of increasing temperature on RΩ was very slight and on Rct was more obvious. The change was believed to result from ion moving speed, chemical reaction speed and ion charge transfer process at the electrode/electrolyte interface. At low-temperature (-20°C), the standard deviation of R was larger than other higher temperature, indicating that the electrical performance difference of the battery pack was large under low temperature condition.
Predication of Quality of Service (QoS) in Cloud Services: A Survey

Quality of Service (QoS) in cloud computing and web service has been commonly used as an essential measure for evaluating services of nonfunctional attributes. However, QoS prediction has become one of the key factors in services recommendation and selection to build high-quality software systems, so it becomes an urgent and crucial research area in both academia and industry. Therefore, several methods and techniques of service recommendation based on collaborative filtering (CF) have been exist for optimizing service selection. We investigate the different exist methods to solve challenging problems. Thence, we discuss and compare these approaches to provide an overview of the latest researches in the field.
The problem of security address resolution protocol

This paper examines the conditions for conducting a Man in the middle (MITM) attack in networks using the Address Resolution Protocol (ARP), as well as possible methods for detecting and preventing such attacks. Examples of implementation of denial of service (DoS) attacks in a peer-to-peer network using the ARP protocol are given. An implementation of an ARP spoofing attack in Python and C # using the sharppcap library is presented. Examples of Man-in-the-middle attacks such as DHCP spoofing and ICMP redirection are provided. Describes the techniques of hacking the router and spoofing the MAC address.
A single‐stage AC‐AC solid‐state transformer with ZVS operation

Funding information National Natural Science Foundation of China, Grant/Award Numbers: 61873289, 61903381, 2019GK2211 Abstract Solid-state transformer (SST) is an attractive concept, which provides galvanic isolation and voltage scaling by means of a medium-frequency link. In this paper, a single-stage alternative current (AC)-AC SST solution without bulky energy storage elements is presented. The front-end rectifier (FER) and rear-end inverter (REI) of the SST works at line-frequency, while the intermediate LLC series resonant converter (SRC) fulfils the tasks of galvanic isolating and regulating the output voltage. To achieve high efficiency and bidirectional power flow capability of the SST, the zero voltage switching (ZVS) condition of the LLC SRC is comprehensively analysed, and the parameters design method of the LLC SRC is developed, where the resonant currents are constructed by applying the same gating signals to the primary-side and secondary-side bridges and the dead-time is properly selected. Consequently, the presented SST has the merits of high conversion efficiency, naturally bidirectional power flow capability, potentially high power density and high reliability. The experimental results on a 1.5 kW SST prototype show that sinusoidal input and output current, ZVS operation over the full load range are achieved, and the peak efficiency is 97.63%. The experimental results verify the functionality and effectiveness of the developed methods.