Miracle-dz/UniFAR-FTUs huggingface dataset:
Service quality role on customer’s loyalty of Indonesia internet service provider during Covid-19

The present study developed a conceptual research framework for potential predictors of loyalty to intention and loyalty to the action ofinternet service providers. This study examined whether customer loyalty of Indonesia service provider was related to service quality dimensions (namely network quality, customer service, information quality, security, and privacy) by providing empirical evidence of the relationship among there variables. Customer loyaltywas reflected by the indicators of loyalty to intention, loyalty to action, and willingness to recommend to others. This is to fill the research gap generated by the fact that many previous studies have only studied up to the intention phase and/or have jumped to the action phase without looking at the intention phase. A quantitative approach through a questionnaire survey was conducted in primary data collection.Out of 400 internet service provider customers surveyed in this study that collected through internet online survey. The findings and results show: Firstly, network quality directly influences attitudinal loyalty. Secondly, customer service directly influences attitudinal loyalty. Thirdly, information quality directly influences attitudinal loyalty. Fourthly, securityand privacynot only directly influence attitudinal loyalty but also influence behavioral loyalty. Finally, attitudinal loyalty directly influences behavioral loyalty. The contribution to academicians interested in the same research topic was the conceptual model. It contributed to the understanding of the cognition-to action loyalty phase framework, also known as the four-stage loyalty phase framework.
Soft x‐ray projection lithography using an x‐ray reduction camera

Soft x‐ray projection lithography can now be realized with recent developments in x‐ray optics. Using new x‐ray optical components and spherical imaging optics, we have designed an x‐ray reduction camera which is capable of projecting with soft x‐ray radiation, a 5× demagnified image of a mask onto a resist coated wafer. The resolution of this design is ∼100 nm with a depth of focus of ±5.6 μm and a 0.5‐cm‐diam image field. We use x‐ray reflecting masks (patterned x‐ray multilayer mirrors) which are fabricated on thick substrates and can be made relatively distortion free. Our design uses a laser produced plasma for the x‐ray source. Better resolution and/or larger areas are possible with improvements in optic figures and source characteristics.
Graduate students share their experiences of building helping skills: A case study

Higher education needs individuals working with students to have the skills to handle a variety of issues related to success and well-being. Graduate programs preparing higher education professionals to work with students provide the opportunity for skill-building to occur. However, how do graduate students perceive their skill development in courses offered in a graduate program, specifically related to basic helping skills? This study, conducted in a College of Education at a university located in the southern United States posed two questions to find out more about the attributes graduate students contribute in the development of their knowledge of helping skills, and documenting the lived experiences of graduate students practicing helping skills. Five graduate students enrolled in a new course on helping skills were part of this case study. Three themes emerged after collecting and coding data during the course. The three themes were: building helping skills, confidence and comfortability, and multicultural, diversity and inclusion. The discussion section includes recommendations to always offer a helping skills course in graduation programs preparing individuals to work in higher education, any course on helping skills should have a multicultural focus, and the course curriculum should include a mix of clinical and practical elements.
Vandalism control: perception of multi-stakeholder involvement in attraction management

ABSTRACT This research project focuses on multi-stakeholder involvement in visitor attraction management to curb on-site vandalism at visitor attractions. The study adopted a structured approach to analyse diverse stakeholder perspectives on vandalism and to determine the underlying relationship between perceptions of role of different stakeholder groups. The participants (n = 386) in the study rated their perception of vandalism and the role of personal and other stakeholders’ involvement at two urban locations; Singapore and Bangkok. The findings suggest that perception of vandalism is greatly affected by other stakeholders’ involvement in the attraction management. By taking a stakeholder theory perspective, this article emphasizes the significance of improved communication with local residents and involving them in the decision-making process for effective vandalism control.
Advanced lead free, multi-constituent-based composite materials for shielding against diagnostic X-rays

We report a novel chemical method for the development of advanced lead free, multi-constituent-based composite materials for shielding against diagnostic X-rays by exploring the multi-elemental, multi-componential phases inherently present in red mud and brine sludge. The chemical treatment of red mud with citric acid and further using brine sludge leads to formation of two types of powders, tailored radiation shielding powder & advance tailored radiation shielding powder. The synthesised shielding powders were characterised by using various techniques like FTIR, TGA, DSC, FESEM, XRD and EDS. The synthesized powders have high-density, multi-layered, multicrystaland multi-shielding phases necessary for imparting radiation shielding properties. The shielding at different energies of X-ray photons for developed advanced radiation shielding panels and tiles has been calculated. The developed advanced lead free, multiconstituent-based composite materials can be used in broad application spectrum ranging from diagnostic X-ray and CT scanner room to other strategic radiation shielding installation. GRAPHICAL ABSTRACT
Using ensemble random forest, boosting and base classifiers to ameliorate prediction of students’ academic performance

In recent time, educational data mining (EDM) has received substantial considerations. Many techniques of data mining have been proposed to dig out out-of-sight knowledge in educational data. The Knowledge obtained assists the academic institutions to further enhance their process of learning and methods of passing knowledge to students. Education Data Mining have been playing substantial role in predicting student’s academic performance. In this study, a novel student’s performance prediction model premised on techniques of data mining with Students’ Essential Features (SEF). Students’ Essential Features (SEF) are linked to the learner’s interactivity with the e-learning management system. The performance of student’s predictive model is assessed by set of classifiers, viz. Bayes Network, Logistic Regression and REP Tree. Consequently, ensemble methods of Boosting and Random Forest using WEKA as an Open Source Tool are applied to improve the performance of these single classifiers. The results obtained reveal that there is a robust affinity between learner’s behaviours and their academic attainment. Results from the study shows that REP Tree and its ensemble record the highest accuracy of 83.33% using SEF. Hence, in terms of Receiver Operating Curve (ROC), boosting method of REP Tree records 0.903, which is the best. This result further demonstrates the dependability of the proposed model.
Novel cyanobacterial metabolites, cyanopeptolin 1081 and anabaenopeptin 899, isolated from an enrichment culture dominated by Woronichinia naegeliana (Unger) Elenkin

ABSTRACT Cyanobacteria synthesize many secondary metabolites of various chemical structures and biological activity and release them into the aquatic environment. Two new oligopeptides belonging to anabaenopeptins and cyanopeptolins were isolated from an enrichment culture dominated by Woronichinia naegeliana (Unger) Elenkin. The application of mass spectrometry and nuclear magnetic resonance spectroscopy allowed determination of their structure and identification of these compounds as cyanopeptolin 1081 and anabaenopeptin 899 with a molecular formula C52H75N9O16 and C48H65N7O10, respectively. The preliminary evaluation of their toxicity was conducted via tests based on crustacean Thamnocephalus platyurus. Although these peptides did not exert acute toxic effects at the concentration up to 40 μg ml–1, deterioration of the physiological state of the studied crustaceans, indicated by reduced mobility, was observed. Considering the limited knowledge of cyanopeptide presence in the aquatic environment, it is important to identify and characterize these compounds.
Workers’ Aging Management—Human Fatigue at Work: An Experimental Offices Study

The aging issue in the work context is becoming a significant element of the future sustainability of service and industrial companies. It is well known that with increasing worker age the problem of maintaining the performance and the safety level when fatigue increases is a crucial point, and fatigue increases with the age. Due to social and political developments, especially in Western countries, the retirement age is increasing and companies operate with a higher workforce mean age. Therefore, the problem of recognizing and measuring fatigue has become a key aspect in the management of aging. Note that in the scientific engineering field, the problem of fatigue evaluation when a worker is performing his/her work activities is an important issue in the industrial and service world and especially in the context of the researchers that are investigating the human reliability assessment. As it is clear from the literature, the industrial operations management are suffering from some misleading concepts that only the medicine scientific context can clarify. Therefore, the aim of this paper is to define what are the open issues and the misleading concepts present in the classical fatigue evaluation methods, and second to define two experimental curves of fatigue that will help the decision makers to minimize the impact of fatigue on the workers, thus maximizing the sustainability of the working tasks assigned. This aim is achieved by examining the medical literature about the measurement of a particular kind of fatigue related to the circadian cycle, i.e., the cognitive one; after that, a survey about the possible technologies for measurements is performed. On the basis of technology selection, an experiment on real work activities is performed and some remarkable results about the fatigue in the workers observed and the technology use and its limitations are defined.
Influence of joint angle on the instability failure characteristics and AE evolution law of underground caverns

Abstract The existence of joints is the key factor for the instability of underground caverns. In this paper, the instability failure behaviours, acoustic emission (AE) characteristics and damage evolution rules of green sandstone caverns with different joint angles were investigated. First, the influences of joint angles on the strength and failure behaviour of the caverns were analysed. Then, the AE characteristics and damage evolution rules of jointed caverns in the process of failure were discussed. The research results showed that the UCS and elastic modulus presented obvious anisotropy. Furthermore, the existence of joints with various angles had a strong influence on the failure pattern of caverns. However, the damage of the cavern is mainly concentrated on the side wall, the top and bottom and the maximum value of AE in jointed caverns are smaller than that in intact cavern, but the occurrence time of AE maximum value is generally earlier than that of intact cavern. The damage progress of jointed caverns is divided into four stages: damage stable stage, damage slow increase stage, damage rapid increase stage and damage termination stage. The joint angle mainly affected the second and third stages of damage variable of the caverns.
Artificial Neural Network Controller for Automatic Ship Berthing Using Separate Route "In Prepress"

The operation of ships in the port area requires not only the assistance of in-vessel equipment such as main engines and rudder, but also the assistance of external equipment such as tugboats. The complexity in the operation of ships in the port, requires control algorithm with multiple input and output for the automatic berthing control of the ship. The entering and leaving data of the ship can help the algorithm to efficiently control the berthing and un-berthing process of ships. This is based on the artificial intelligence which has been continuously approaching the operating habits of the pilot. The advances in artificial intelligence can control the entering, turning, and berthing in the port by artificial intelligence. In this study, the artificial neural network algorithm has been used to establish an automatic berthing model, based on the scheduled route. With the help of training data of one port, this model can be applied to the ship’s berthing with different berth layouts. Furthermore, it can also be applied to complex systems such as direct or turning-berthing of a ship. Finally, the automatic berthing model has been used for the simulation of direct berthing and turning-berthing in different berth.
Improving Efficiency of Customer Requirements Classification on Autonomous Vehicle by Natural Language Processing

: Safety is critical for autonomous vehicle, therefore quality management system method is crucial for the risks that may impact human beings. Quality management system help identify customer requirements and finally meet them. Customer requirements also include other aspects that customers or stakeholders are most concerned. Although many researches on customer perception had been done, they do not include all aspect of the requirements toward autonomous vehicle. Furthermore, they are most in text format or will be transfer to text format that convenient to store and read. In front of the large amount text data, classifying them become time and costs consuming. The customer requirements on autonomous vehicle are summarized and allocated in different categories. The natural language processing method is applied in this paper. This method shows its efficiency on dealing with customer requirements. The results provide valuable reference for autonomous vehicle developer and top management.
Loyalty programs for the passenger transportation industry: a study of Zimbabwean Companies

The paper examined firstly whether companies in the passenger transportation industry have utilised loyalty programs and then ascertained how much value the companies have drawn from them in enhancing market share, operational efficiency and financial benefit. Specifically, the study assessed the influence of loyalty program on customer relationship management, operational efficiency and profitability. The research was undertaken on ten companies who have implemented some form of loyalty programs through applied research’s in-depth interviews with the top executives. The qualitative methodology was utilised to simplify and manage the collection of data without affecting the environment and context. Data collected were further analysed via Chi-square statistics and the three hypotheses were tested at 5% level of significance. The results indicate that companies have begun to utilise loyalty programs in their operations, though not entirely sweating the programs to attain the best possible value from them. Most importantly, the study concluded on the positive significant relationship between loyalty program and customer relationship management, operational efficiency and profitability in the Zimbabwe loyalty program. Both filled a few highlighted gaps in the literature. Research for the road passenger transportation sub-sector offers useful theoretical and managerial implications as few studies have been conducted for the airline industry, which has successfully implemented loyalty programs through frequent flier schemes. It is recommended that companies should ascertain passenger behaviour through passenger registration, thereby enhancing the sustainability of the relationship. This study provides theoretical support for the importance of loyalty programs as passenger relationship management tools if appropriately applied and implemented. Loyalty programs offer companies across industrial sectors with useful benefits such as brand loyalty, business efficiency due to enhanced planning and profitability due to increase in patronage from passengers who are less sensitive to the marketing efforts of competing brands. This knowledge should, therefore, enable transporters to ascertain the value of adopting and using loyalty programs appropriately thereby enhancing their competitive advantage in a fast-paced world economy.
Opportunities and challenges in lung cancer screening implementation: a narrative review

The U.S. Preventive Services Task Force and the Centers for Medicare and Medicaid Services (CMS) recommend lung cancer screening (LCS) for high risk current and former smokers. Developing a comprehensive LCS program requires coordinated planning from program conception through implementation and maintenance that address both pragmatic and regulatory matters. In this review article, we discuss the available evidence, guideline recommendations, and practical considerations for implementing a high-quality LCS program. Key factors in the initial planning phase include engagement of stakeholders with a particular focus on support from providers, patients and healthcare organizations. Additionally, it is important to consider the infrastructure and program design that will best serve local needs, and implement mandatory components such as a data registry and smoking cessation. We also discuss the implementation phase including strategies for optimizing the eligible patient population to be screened as well as the processes of shared decision making (SDM), standardization of screening results and communication of findings to patients. Once patients have been screened, maintenance of a successful LCS program requires iterative multidisciplinary reviews of key quality metrics and establishing systematic mechanisms to track evaluation, minimizing loss to follow-up. We also review other recommended components that contribute to maintaining a high-quality screening program such as a clinical screening coordinator, patient navigator, and tools to improve the uptake of and adherence to LCS.
Unprecedented loss of surface and cave ice in SE Europe related to
record summer rains in 2019

Abstract. Glaciers worldwide are shrinking at an accelerated rate as the climate changes in response to anthropogenic influence. While increasing air temperature is the main factor behind glacier mass loss, changing atmospheric circulation patterns and the distribution of precipitation also plays a role, though these are not as well understood. Furthermore, while the mass balance of surface glaciers (from large polar ice sheets to small alpine glaciers) is relatively well documented and continuously monitored, little to nothing is known about the response of cave glaciers (perennial ice accumulations in rock-hosted caves) to atmospheric warming. In this context, we present the response of cave and surface glaciers in SE Europe to synoptic conditions in summer 2019. Our investigation shows that extreme precipitation events occurring between May and July 2019 led to catastrophic loss of ice at levels unprecedented during the last century. As climate models predict that such extreme precipitation events are set to increase in frequency and intensity, the presence of cave glaciers in SE Europe and the paleoclimatic information they host may be lost in the near future. Moreover, the same projected continuous warming and increase in precipitation extremes could pose an additional threat to the Alpine glaciers in southern Europe, resulting in faster than predicted melting.
Effect of Red Blood Cell Aging In Vivo on Their Aggregation Properties In Vitro: Measurements with Laser Tweezers

Red blood cell (RBC) aggregation highly influences hemorheology and blood microcirculation in the human body. The aggregation properties of RBCs can vary due to numerous factors, including RBC age. The aim of this work was to estimate in vitro the differences in the RBC aggregation properties of different RBC age populations in single-cell experiments using laser tweezers. RBCs from five healthy volunteers were separated into four subpopulations by Percoll density gradient centrifugation. Each subpopulation of the RBC was separately resuspended in autologous plasma or dextran 70 kDa (50 mg/mL). The aggregation force between the single cells was measured with holographic laser tweezers. The obtained data demonstrated an enhancement of RBC aggregation force in doublets with age: the older the cells, the higher the aggregation force. The obtained data revealed the differences between the aggregation and aggregability of RBC in dependence of the RBC in vivo age.
Investigating Monetary Incentives for Environmentally Friendly Residential Landscapes

State and local governments develop policies that promote environmentally friendly landscaping practices with the goal to mitigate adverse environmental impacts from heavily maintained residential lawns. One of the mechanisms to achieve low-input landscaping practices in the urban environment is to promote the conversion of monoculture turfgrass lawns into partial turfgrass, low-input landscapes. Rebate incentives are used as an instrument to encourage the adoption of such landscapes. This study investigates the effects of households’ monetary incentive requirement on households’ preferences and willingness to pay for low-input landscapes. The discrete choice experiment method was used to analyze responses from households categorized into low, medium, and high incentive requirement groups. The results show that rebate incentives may have significant positive effects on individuals’ intentions to adopt low-input landscapes. Participants with low incentive requirement were willing to pay more for environmentally friendly attributes, compared with their counterparts in the medium and high incentive requirement groups. Practical implications for relevant stakeholders are discussed.
A study of x-ray radiation shielding properties of bricks contained barium sulfate

The x-ray room wall thickness is usually around 20-25 centimeters, using clay bricks and cement as material to create x-ray protective barrier for staffs and patients. Gain more space to provide a wall of X-ray room. In this study, the x-ray radiation shielding properties of bricks contained barium sulfate (BaSO4) was determined at the proportion of barium sulfate and clay about 0, 5, 10, 15 and 20% in parameters radiation dose between 50-120 kilovoltage (kVp) 40 milliamperes seconds (mAs) for radiation shielding to employees and members of the public. The results revealed that the Mass attenuation coefficient value (μm) are increased when the proportion of barium sulfate is higher. Nevertheless, they are decreased when radiation dose is higher. The half-value layer (HVL) are decreased when barium sulfate increase. The HVL of barium sulfate brick less than when compared with commercial brick and concrete. The results indicating the potential of the prepared barium sulfate brick as lead free for x-ray room.