Miracle-dz/UniFAR-FTUs huggingface dataset:
Nursing support perceived by mothers of preterm infants in a neonatal intensive care unit in South Korea

Purpose The aim of this study was to clarify and define the concept of nursing support as perceived by mothers of preterm infants. Methods The research was conducted using Schwartz-Barcott and Kim's hybrid model. Sixteen articles were analyzed during the theoretical phase. In-depth interviews were conducted with 10 mothers of preterm infants in the fieldwork phase. In the final analytical phase, the attributes of nursing support were defined. Results There were four themes and 10 attributes of nursing support as perceived by mothers of preterm infants. Professional care and emotional care for the baby were identified as attributes of baby care support. Information related to the disease, inpatient environment, baby's daily hospital life, and mother-centered care were identified as attributes of information delivery support. Empathy for mothers and therapeutic communication with the mother were identified as attributes for mental care support. Lastly, providing a chance for the mother to take care of the baby and reinforcement of the maternal role were identified as attributes of maternal role support. Conclusion The 10 attributes of this study could provide a base for the development of a nursing support instrument and practical guidelines for mothers in neonatal intensive care units.
Co-Design of Social Impact Domains with the Huntington’s Disease Community

Background: For people living with or affected by Huntington’s Disease (HD) to experience a good quality of life, tailored support is required to meet physical, cognitive-behavioral, psychological, and social support needs. Substantial service and knowledge gaps regarding HD exist across support providers and service systems. Measuring unmet needs and what quality of life looks like is a fundamental step required to determine the social impact of service investment and provision. The objectives of this study were to validate and map a draft set of HD Social Impact Domains (HD-SID) against existing national and international outcome frameworks; and evaluate and finalize the HD-SID set using a co-design approach with people with lived experience of, and expertise in, HD. Methods: This research used a qualitative co-design process, with 39 participants across four stakeholder groups (people who were HD gene-positive, gene-negative family members, academics, peak organizations, and service providers) to: (i) map and verify the social life areas impacted by HD; (ii) undertake a rigorous three-phased, qualitative process to critically evaluate the draft HD-SID; and (iii) seek feedback on and endorsement of the HD-SID through this co-design process, with a final set of HD-SID identified. Results: Endorsed HD-SID comprised risks and safety (including housing stability, and economic sustainability) and social inclusion (including health and symptom management, physical wellbeing, emotional wellbeing, and building resilient relationships). Conclusions: Effective measurement of the impacts and outcomes for people with HD is informed by both extant measures and an understanding of the specific population needs. This qualitative co-design research demonstrates that HD-SID resonate with the HD community.
Air pollutants in Xinjiang during the COVID-19 pandemic and glaciochemical records of a Tien-Shan glacier

Abstract. The outbreak of COVID-19 unprecedently impacts the world in many aspects. Air pollutants have been largely reduced in cities worldwide, as reported by numerous studies. We investigated the daily concentrations of SO2, NO2, CO and PM2.5 monitored across the Xinjiang Uygur Autonomous Region (Xinjiang), China, from 2019 through 2020. The variation in NO2 showed responding dips when the local governments imposed mobility restriction measures, while SO2, CO and PM2.5 did not consistently correspond to NO2. This difference indicates that the restriction measures targeted traffic majorly. Sampling from two snow pits separately dug in 2019 and 2020 in Urumqi No.1 (UG1), we analysed water-stable isotopes, soluble ions, black and organic carbon (BC and OC). BC and OC show no differences in the snow-pit profiles dated from 2018 to 2020. The concentrations of human activity induced soluble ions (K+, Cl−, SO42− and NO3−) in the snow shrank to 20 %–30% in 2020 of their respective concentrations in 2019, while they increased 2–3.5-fold in 2019 from before 2018. We suggest that the pandemic has already left marks in the cryosphere and outlook that more evidence would be exposed in ice cores, tree rings, and other archives in the future.
A Study on the Impact of Coffee Service Quality on Customer Satisfaction and Loyalty

Coffee is a representative food service industry that commonly satisfies basic human needs. Among the consumers, the younger generation consumption is relatively higher than the middle and elderly generations. Their purchase decision is based on the individuality and unique characteristics of the coffee shop e.g., sophisticated internal environment, quality drinks, discriminatory marketing, and diverse menus. Coffee shops serve a variety of purpose including providing simple meals, a place to study, an area to work, and a comfortable rest area. This study conducted an empirical analysis on the factors affecting the purchase decisions of the coffee consumers. The results imply the following hypothesis: (H1-1) interaction influences positive emotions was adopted; (H1-2) the physical environment influences positive emotions was rejected; (H1-3) the result quality influences positive emotions was adopted; (H1-4) representativeness affects positive emotions was adopted; (H1-5) diversity influences positive emotions was adopted, and; (H2) positive emotions influence loyalty was adopted.
Theorising craft practices through sketching

This article explores how craft practice is theorised through sketching, by comparing narratives about the role of sketching from interviewed Swedish upper secondary textile design and floristry education teachers, and aiming to discern connection to curriculum. The theory and methods used in the article are influenced by Ivor Goodson’s work on subject knowledge and curriculum change (1998). Empirical data was obtained from multiple sources, including interviews with four teachers. The findings reveal that, while sketching has been intrinsic to textile design and seamstress vocational knowing for considerable time, sketching is a relatively new phenomenon within floristry vocational knowing and education; essentially dating from the 2011 Swedish educational reform. The discussion claims that sketching provides means to theorise craft practice, through providing an intermediary level between the abstract (theory) and the concrete (objects) within the practice
Comparative Study for Classification Algorithms Performance in Crop Yields Prediction Systems

The agriculture importance is not restricted to our daily life; it is also an effective field that enhances the economic growth in any country. Therefore, developing the quality of the crop yields using recent technologies is a crucial procedure to obtain competitive crops. Nowadays, data mining is an emerging research field in agriculture especially in the predicting and analysis of crop yield. This paper focuses on utilizing various data mining classification algorithms to predict the impact of various parameters such as area, season and production on the crop yield quality. The performance of the decision tree, naive Bayes, random forest, support vector machine and K-nearest neighbour is measured and compared to each other. The comparison involves measuring the error values and accuracy. The SVM algorithm achieved the highest accuracy value with 76.82%. while the lowest is achieved by the KNN algorithm with 35.76%. The highest error value was 111.8855 for KNN. Also, the prediction help farmer to increased and improved the income level.
An estimation scheme of road friction coefficient based on novel tyre model and improved SCKF

In order to identify the road friction coefficient of the left and right sides of the vehicle more accurately, this paper presents an estimation framework based on a novel tyre model and modified square-root cubature Kalman filter (SCKF). To begin with, a novel tyre model is proposed by adaptively calculating the longitudinal and lateral stiffness and the effective friction coefficient. The tyre forces calculated by this model are more accurate than those calculated by the Brush model. Then, to avoid the influence of abnormal measurement noise on the estimation effect, we develop an improved SCKF (ISCKF) algorithm based on the maximum correntropy criterion. The algorithm can update the measurement noise covariance adaptively. Furthermore, a real-time estimation scheme of road friction coefficient is designed by combining the vehicle dynamics model with the proposed novel tyre model and ISCKF algorithm. Finally, the performance of the presented method is verified by the co-simulation of CarSim and MATLAB/Simulink. The results show that the designed estimation scheme not only has excellent robustness in the case of abnormal measurement noise interference but also has good adaptability to the uncertainty of road friction coefficients distribution.
Determination of chromium in whole blood and urine by graphite furnace AAS

The accuracy of the determination of chromium in body fluids by graphite furnace atomic absorption spectroscopy (GFAAS) may be influenced by severe background, matrix effects, preatomization losses, and spectral interferences. In this study, we critically evaluated the influence on the accuracy of the GFAAS determination of chromium in human whole blood and urine. We propose a simple, rapid, and accurate method, suitable for the routine biological monitoring of chromium in the general population and in occupationally exposed workers. The method described is mainly based on the simple dilution of the sample with deionized water and using NH 4 NO 3 as the matrix modifier. The method was applied to the analysis of whole blood and urine taken from 25 electroplating workers and 25 non-exposed individuals. The results show that the whole blood and urinary chromium concentrations of the workers were, respectively, 9.2-fold and 12.9-fold higher than those of the controls. No significant difference was observed between smoking and non-smoking workers (p>0.05).
Exact dual semi-definite programs for affinely adjustable robust SOS-convex polynomial optimization problems

This paper presents exact dual semi-definite programs (SDPs) for robust SOS-convex polynomial optimization problems with affinely adjustable variables in the sense that the optimal values of the robust problem and its associated dual SDP are equal with the solution attainment of the dual problem. This class of robust convex optimization problems includes the corresponding quadratically constrained convex quadratic optimization problems and separable convex polynomial optimization problems, and it employs a general bounded spectrahedron uncertainty set that covers the most commonly used uncertainty sets of numerically solvable robust optimization models, such as boxes, balls and ellipsoids. As special cases, it also demonstrates that explicit exact dual SDP and second-order cone programming (SOCP) in terms of original data hold for the robust two-stage convex quadratic programs with quadratic constraints and the robust two-stage separable convex quadratic programs under an ellipsoidal uncertainty set, respectively. Finally, the paper illustrates the results via numerical implementations of the developed SDP duality scheme on adjustable robust lot-sizing problems with nonlinear costs under demand uncertainty.
Entrapped in a failing course of action: Explaining the territorial crisis in 2017 Catalonia

ABSTRACT Why did the territorial conflict between the governments of Catalonia and Spain escalate to the point of extreme institutional disruption in October 2017? The present article explains this crisis – a declaration of independence followed by the imposition of direct rule – as the outcome of an Escalation of Commitment behaviour. By examining the iterative relationship between both governments, the article shows that they were trapped in a failing course of action, unable to withdraw from their early political decisions. Despite facing increasingly negative outcomes from their choices, both sides had already invested too much political capital to quit. Expectations and self-justification attitudes account for the escalation behaviour, together with a radicalized decision environment. The findings have broader implications for the study of nationalist politics: they show that the commitment to early decisions mediated by the existence of strong political incentives against compromise may lead to the escalation of territorial conflicts.
Charge Transfer on the Surface-Enhanced Raman Scattering of Ag/4-MBA/PEDOT:PSS System: Intermolecular Hydrogen Bonding

A sandwich-structured noble metal-probe molecule-organic semiconductor consisting of Ag nanoparticles (NPs), 4-mercaptobenzoic acid (4-MBA) and different concentrations of poly(styrenesulfonate:poly(3,4-ethylenedioxythiophene) (PEDOT:PSS) was prepared by layer-by-layer assembly. Intermolecular hydrogen bonding was observed to have a significant effect on the surface-enhanced Raman scattering (SERS) of Ag/4-MBA/PEDOT:PSS. Upon increasing the PEDOT:PSS concentration, the characteristic Raman band intensity of 4-MBA was enhanced. In addition, the selected b2 vibration mode was significantly enhanced due to the influence of the charge transfer (CT) mechanism. The CT degree (ρCT) of the composite system was calculated before and after doping with PEDOT:PSS; when the concentration of PEDOT:PSS was 0.8%, the SERS intensity tended to be stable, and ρCT reached a maximum. Compared with that of the undoped PEDOT:PSS system, ρCT was significantly enhanced after doping, which can be explained by the CT effect induced by hydrogen bonds. These results indicate that hydrogen bonding transfers a charge from the Fermi energy level of Ag to the lowest unoccupied molecular orbital (LUMO) of 4-MBA, and due to the resulting potential difference, the charge will continue to transfer to the LUMO of PEDOT:PSS. Therefore, the introduction of organic semiconductors into the field of SERS not only expands the SERS substrate scope, but also provides a new idea for exploring the SERS mechanism. In addition, the introduction of hydrogen bonds has become an important guide for the study of CT and the structure of composite systems.
Alzheimer's Disease Alters Oligodendrocytic Glycolytic and Ketolytic Gene Expression

Sporadic Alzheimer's disease (AD) is the most common form of senescence‐related dementia, and is clinically characterized by neurodegeneration that progressively impairs memory and behavior. It is widely accepted that AD is strongly correlated with impaired brain glucose metabolism, which may contribute to disease onset and progression. Ketolysis has been suggested as an alternative pathway to fuel the brain. In the present study, RNA‐seq profiles of postmortem AD brains were used to determine whether dysfunctional AD brain metabolism can be determined by impairments in glycolytic and ketolytic gene expression. Data were obtained from the Knight Alzheimer's Disease Research Center (62 cases; 13 controls), Mount Sinai Brain Bank (110 cases; 44 controls), and the Mayo Clinic Brain Bank (80 cases; 76 controls), and were normalized to cell type: astrocytes, microglia, neurons, oligodendrocytes. In oligodendrocytes, both glycolytic and ketolytic pathways were significantly impaired in regions of the brain relevant to AD. However, ketolytic gene expression was not significantly altered in neurons, astrocytes, and microglia. These results indicate that oligodendrocytes may contribute to brain hypometabolism and AD pathology more than previously thought. These findings are also suggestive of a potential link between AD hypometabolism and dysmyelination, and suggest that ketones may be therapeutic in AD due to their ability to fuel neurons despite impairments in glycolytic metabolism.
Dynamics of Position of Public Relations of Company Media PT. Lativi Media Karya (Tv One) in Dealing with Hoax Information

Hoaxes or false information are now increasingly easy to find in various social media and public information media, this is a challenge for the mass media industry. Hoax information connected globally via the internet can harm various fields of the company, including mass media companies or the press. The purpose of this research is to find out how the dynamics of Public Relations (PR) media company PT Lativi Media Karya or tvOne in overcoming hoax information that is detrimental to the company and what contingent factors affect the attitude of PR tvOne to solve the hoax problem. The object of research used three cases of hoax information which were quite viral in 2016, 2018 and 2020. The Contingency of Accomodation theory is the main theory used to find out the dynamics of the PR position. The research methodology used is a qualitative approach, data collection using two methods, namely semi-structured interviews and documentation, data analysis techniques using constant comparability. The result is that PR tvOne tends to lead to an advocacy positions in overcoming hoax information, even though in the case of hoax information in 2018, it is accommodation in advocacy by withdrawing demands from the police, but PR tvOne still fully defends the company or its advocacy attitude. Then, on the contingent factors in the predisposing and situational variables, each of which has six contigens, it turns out that all of the contaminants affect the PR attitude of tvOne. Researchers found two new important content for media company tvOne, namely "image" and "credibility".
Biomechanical Performance of Menisci under Cyclic Loads

The meniscus, composed of fibrocartilage, is a very important part of the human knee joint that behaves like a buffer. Located in the middle of the femoral condyles and the tibial plateau, it is a necessary structure to maintain normal biomechanical properties of the knee. Whether walking or exercising, the meniscus plays a vital role to protect the articular surface of both the femoral condyles and the tibial plateau by absorbing the conveying shock from body weight. However, modern people often suffer from irreversible degeneration of joint tissue due to exercise-induced harm or aging. Therefore, understanding its dynamic characteristics will help to learn more about the actual state of motion and to avoid unnecessary injury. This study uses reverse engineering equipment, a 3D optical scanner, and a plastic teaching human body model to build the geometry of knee joint meniscus. Then, the finite element method (FEM) is employed to obtain the dynamic characteristics of the meniscus. The results show the natural frequencies, mode shapes, and fatigue life analysis of meniscus, with real human material parameters. The achieved results can be applied to do subsequent knee dynamic simulation analysis, to reduce the knee joint and lower external impacts, and to manufacture artificial meniscus through tissue engineering.
Bureaucratic management style and workplace well-being of the Divine Word Colleges

This study aimed to determine the effect of bureaucratic management on the workplace well-being of the Divine Word Colleges. To establish the theoretical foundation of the study, related literature was reviewed. The study used descriptive assessment and correlational research design and the data were gathered through research questionnaires. To interpret the data, descriptive and inferential statistics were used, and therefore, weighted mean was used to determine the level of bureaucratic management, and workplace well-being. While Pearson r correlation was used to determine the correlation between bureaucratic management and workplace well-being. The finding of the study indicated that there is no correlation between bureaucratic management and workplace well-being. Therefore, the hypothesis of the study is rejected. The output of this study contributes to a complex discussion about the effect of bureaucratic management on workplace well-being.
MoS2–Ni3S2 Heteronanorods as Efficient and Stable Bifunctional Electrocatalysts for Overall Water Splitting

Exploring noble-metal-free electrocatalysts with high efficiency for both the hydrogen evolution reaction (HER) and the oxygen evolution reaction (OER) holds promise for advancing the production of H2 fuel through water splitting. Herein, one-pot synthesis was introduced for MoS2–Ni3S2 heteronanorods supported by Ni foam (MoS2–Ni3S2 HNRs/NF), in which the Ni3S2 nanorods were hierarchically integrated with MoS2 nanosheets. The hierarchical MoS2–Ni3S2 heteronanorods allow not only the good exposure of highly active heterointerfaces but also the facilitated charge transport along Ni3S2 nanorods anchored on conducting nickel foam, accomplishing the promoted kinetics and activity for HER, OER, and overall water splitting. The optimal MoS2–Ni3S2 HNRs/NF presents low overpotentials (η10) of 98 and 249 mV to reach a current density of 10 mA cm–2 in 1.0 M KOH for HER and OER, respectively. Assembled as an electrolyzer for overall water splitting, such heteronanorods show a quite low cell voltage of 1.50 V at 10 mA.
Development of a Learning Environment to Enhance Preservice Physics Teachers’ Diagnostic Competence in Terms of Students’ Conceptions

Teachers’ diagnostic competence is fundamental for supporting students’ individual learning processes and must be fostered in teacher education. Following a design-based research approach, a learning environment is developed focusing on preservice physics teachers’ diagnostic competence in diagnosing students’ conceptions. A core element of the learning environment are video vignettes of high school students solving tasks on mechanics. The learning arrangement was implemented in a bachelor’s level physics didactics course. We aimed to identify supportive and obstructive elements for the preservice teachers’ learning processes when training with the video vignettes to inform the redesign of the learning environment. The working phases centred around the training video vignettes were videotaped and data of four groups of preservice teachers was analysed with thick description. We reconstructed preservice teachers’ intentions of action to gather a deeper understanding of supportive and obstructive elements. Among other findings, results show that preservice teachers’ gaps in content knowledge highly influence the training situation.
Rethinking science communication as the social conversation around science

In this essay the authors reflect on some recent trends in science communication research, celebrating it as an inherently interdisciplinary endeavour. Some current tendencies in science communication are more limiting, however: they present theoretical and strategic prescriptions that do not adquately reflect the variety and cultural diversity of science communication internationally. Rethinking science communication in the context of such diverse practices and cultural reorientations, the authors revise some of their own views and revisit notions of communication as conversation to propose an inclusive definition of science communication as the social conversation around science.
Study of Detecting the Political Bias in News Articles

Nowadays news audiences are experiencing an "echo chamber" due to news biased coverage, which causes individuals to shape views with only one side of the story in mind. Media is considered the strongest source of insight and viewpoint for readers about current events. Therefore, the inequality and misrepresentation of media portrayal of topics is necessary to scrutinise. So, by computing a bias score for the news articles, the reader is able to make an informed decision related to particular events. In this paper, an attempt is made to prepare a survey report detailing some of the literature work done for figuring out the systems which detect the political bias for the news articles.