Miracle-dz/UniFAR-FTUs huggingface dataset:
Weight Maintenance after Dietary Weight Loss: Systematic Review and Meta-Analysis on the Effectiveness of Behavioural Intensive Intervention

After a low-calorie diet, only 25% of patients succeed in maintaining the result of weight loss for a long time. This systematic review and meta-analysis aims to explore whether patients undergoing intensive intervention during the maintenance phase have a greater preservation of the weight achieved during the previous slimming phase than controls. A bibliographic search was conducted using PubMed, Scopus, and Cochrane databases for clinical trials and randomised, controlled trials investigating the role of choice in weight-loss-maintenance strategies. Only studies with a follow-up of at least 12 months were considered. A total of eight studies, for a total of 1454 patients, was identified, each comparing a group that followed a more intensive protocol to a control group. Our metanalysis highlighted that an intensive approach even in the maintenance phase could be important to ensure greater success in the phase following the weight-loss period. However, it should be pointed out that the improvement was not so different from the trend of the respective controls, with a non-statistically significant mean difference of the effect size (0.087; 95% CI −0.016 to 0.190 p = 0.098). This finding, along with the observation of a weight regain in half of the selected studies, suggests this is a long work that has to be started within the weight-loss phase and reinforced during the maintenance phase. The problem of weight control in patients with obesity should be understood as a process of education to a healthy lifestyle and a balanced diet to be integrated in the context of a multidisciplinary approach.
An investigation into phosphorus recovery technology

This report investigates the available phosphorus recovery technologies for the UBC Farm new building centre in the form of Triple Bottom Line Assessment. The technology should be ideally low budget, low tech and sustainable, this means that it should be either zero net or positive. The main phosphorus recovery technologies investigated in this report are chemical precipitation, struvite precipitation, and the Pearl Process. Other technologies exist and are briefly mentioned in the report. Ecologically, building a phosphorus recovery technology can eliminate the excess phosphorus that is sent to the ocean by the wastewater created from human and livestock excrement. Economically, a phosphorus recovery plant overall is quite feasible taking into account the long run at looking at things. It is concluded that it would be economically feasible to construct a wastewater treatment plant first than add a phosphorus recovery process to it in the future. Socially, implementing a phosphorus recovery technology onto a small scale like the UBC Farm can set an example for larger scale applications like the municipal wastewater treatment plant. This in the long run can solve the society’s phosphorus scarcity problem that the world is facing. In conclusion, phosphorus recovery technology is economically, socially and ecologically viable option for the UBC Farm building centre. Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report. ”
IT assimilation: construct, measurement, and implications in cybersecurity

ABSTRACT Unintentional employee behaviours can be a major cause of security breaches. To mitigate the risk, employees need to habituate their new behaviours, implying a transfer of learning that may occur at ‘work’ to ‘personal’ contexts. Against this backdrop, we examine a new construct – IT Assimilation – grounded in situated learning theory by its definition as the incorporation of enterprise IT into an individual’s IT repertoire. We use a multi-phase methodological approach to conceptualise the construct and develop a validated scale to measure it. Our findings offer valuable insights for researchers and practitioners about transferring IT behaviours, particularly in the cybersecurity context.
Assessment of laser-dazzling effects based on laser spot and target features

The global features of laser-dazzling images, the local features of targets and the distribution characteristics of laser spots are analyzed.A new algorithm composed of Weighted Feature Similarity (WFSIM) is proposed for the assessment of laser-dazzling effects. The method firstly uses the global features including luminance, contrast, edge definition and local feature-point maintainability to obtain the assessment model. Then, it computes the weighting factors, such as the saturated pixel number, signal to noise ratio and spot visual impotence based on the size, intensity and position of the laser spot. Based on the above results, a modified assessment algorithm can be constructed and a normalized evaluation can be implemented. An experiment platform of laser active imaging and recognition system is built for laser-dazzling images under different laser intensities, different background intensities and different spot positions. The proposed WFSIM algorithm is used to evaluate obtained laser-dazzling images. In terms of experiment results, the WFSIM algorithm shows good feasibility and rationality as comparing with Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM) image quality assessment methods. The evaluation results is consistent with the subjective human visual perception.
Evaluation of the Effect of Selected Physiological Fluid Contaminants on the Mechanical Properties of Selected Medium-Viscosity PMMA Bone Cements

Revision surgeries several years after the implantation of the prosthesis are unfavorable from the patient’s point of view as they expose him to additional discomfort, to risk of complications and are expensive. One of the factors responsible for the aseptic loosening of the prosthesis is the gradual degradation of the cement material as a result of working under considerable loads, in an aggressive environment of the human body. Contaminants present in the surgical field may significantly affect the durability of the bone cement and, consequently, of the entire bone-cement-prosthesis system. The paper presents the results of an analysis of selected mechanical properties of two medium-viscosity bone cements DePuy CMW3 Gentamicin and Heraeus Palamed, for the samples contaminated with saline and blood in the range of 1–10%. The results obtained for compressive strength and modulus of elasticity were subjected to statistical analysis, which estimated the nature of changes in these parameters depending on the amount and type of contamination and their statistical significance.
EXPLORATORY STUDY ABOUT KNOWLEDGE, ATTITUDE AND PRACTICE ABOUT PHARMACOVIGILANCE AND ADR REPORTING AMONG RESIDENTS OF A TERTIARY CARE TEACHING HOSPITAL

Objective: This study, aimed at investigating the knowledge and attitude of resident doctors about ADR reporting in a tertiary care teaching hospital. Methods: This was a cross-sectional, observational, questionnaire-based study conducted in Shri Krishna Hospital and Medical Research Centre, 550 bed tertiary care teaching rural hospital attached to Pramukhswami medical college, Karamsad, Gujarat. Results: 50 questionnaire forms were analysed, giving a response rate 86.20%. Of the respondents 56% were men, remaining were women. Mean age of the respondents was 25+1.05 y. All but one resident have heard the term ‘pharmacovigilance,’ but 34 out of 50 were able to define it accurately. Twenty participants preferred email for ADR reporting while 14 preferred direct contacts for ADR reporting. Telephone is liked by 9 participants. All residents admitted the importance of pharmacovigilance in unison. Majority of the residents (96%) were in view to teach pharmacovigilance actively to students. Seventeen out of 50 residents were aware about Pharmacovigilance Program of India, a program by Government of India for pharmacovigilance and ADR reporting. 28 residents did not know about any such program. Three residents opined that no specific national program is running and India is following a program undertaken by WHO. The most preferred method of ADR reporting by residents is email/website followed by direct contact. Twenty were in favour of the first method, while 14 preferred the later method. Nine residents selected the telephone method as method of ADR reporting. Conclusion: Today’s residents are future’s consultants. So it is the need of the hour to stimulate residents to report ADRs.
Visions of Climate Control

Various geoengineering technologies that would deliberately alter the climate system have been proposed as a way to alleviate risks of global warming. Technologies that would shield incoming sunlight to cool the planet, so called solar radiation management (SRM), are particularly controversial. Considering insights from social studies of simulation modeling and research on expectations in science and technology, I argue that climate modeling has a central role in producing visions of SRM. I draw upon an empirical analysis of scientific research on SRM to examine how a creative play with technological ideas becomes possible through climate modeling. This enables scientists to project and study environmental impacts of speculative SRM methods in virtual experiments and to develop and refine ideas for adjusting sunlight. Hence, while climate models are used to improve scientific understandings of climate system behavior and to anticipate possible environmental impacts of SRM, they also become inventive tools, allowing scientists to envision novel ways of climate control and optimization. Given the importance of simulation studies to knowledge production on SRM, I critically reflect on the challenges that arise when visions about an engineered climate future are first and foremost produced in climate simulations.
Advanced Models for the OSPF Routing Protocol

We present two formal models for the OSPF routing protocol, designed for the model checker Uppaal. The first one is an optimised model of an existing model that allows to check larger network topologies. The second one is a specialised model for adjacency building, a complex subprocedure of OSPF, which is not part of any existing model and which is known to be vulnerable to cyber attacks. We illustrate how both models can be used to discover vulnerabilities in routing protocols.
Nitrogen dioxide line shift coefficients induced by air pressure

Theoretical line shifts of nitrogen dioxide lines induced by air are reported at the room temperature (296 K). Calculations are performed for ∼31500 lines in the spectral range of 5700–7500 cm−1 for the bands including rotational quantum numbers up to = 87 and = 20. The data have been evaluated theoretically by a semi-empirical method which is based on the impact theory of broadening and includes the correction factors whose parameters can be determined by fitting the shift coefficients to the experimental data. Nitrogen dioxide plays an important role in the Earth’s tropospheric and stratospheric photochemistry, it is one of the most common anthropogenic substances emitted into the atmosphere. Nitrogen dioxide is involved in the production and destruction of ozone. The infra-red high resolution spectra of NO2 are the subject of intense interest during recent years. Obtained results are implemented in spectroscopic databases aimed at atmospheric applications such as HITRAN and GEISA. As to the line shift parameters, there are few papers. In this work, theoretical NO2-line shifts induced by air are reported for many lines. GRAPHICAL ABSTRACT
Macrophage‐derived exosomal miR‐195a‐5p impairs tubular epithelial cells mitochondria in acute kidney injury mice

Macrophages (Mφ) infiltration is a common characteristic of acute kidney injury (AKI). Exosomes‐mediated cell communication between tubular epithelial cells (TECs) and Mφ has been suggested to be involved in AKI. Exosomes‐derived from injured TECs could regulate Mφ polarization during AKI. However, little is known regarding how activated Mφ regulates kidney injury. To explore the role of activated Mφ in the AKI process, we revealed that Mφ‐derived exosomes from AKI mice (ExosAKI) caused mitochondria damage and induced TECs injury. Then, we detected the global miRNA expression profiles of MφNC and MφAKI and found that among the upregulated miRNAs, miR‐195a‐5p, which regulates mitochondria metabolism in cancer, was significantly increased in MφAKI. Due to the enrichment of miR‐195a‐5p in ExosAKI, the miR‐195a‐5p level in the kidney was elevated in AKI mice. More interestingly, based on the high expression of pri‐miR‐195a‐5p in kidney‐infiltrated Mφ, and the reduction of miR‐195a‐5p in kidney after depletion of Mφ in AKI mice, we confirmed that miR‐195a‐5p may be produced in infiltrated Mφ, and shuttled into TECs via ExosMφ. Furthermore, in vitro inhibition of miR‐195a‐5p alleviated the effect of ExosAKI induced mitochondrial dysfunction and cell injury. Consistently, antagonizing miR‐195a‐5p with a miR‐195a‐5p antagomir attenuated cisplatin‐induced kidney injury and mitochondrial dysfunction in mice. These findings revealed that the Mφ exosomal miR‐195a‐5p derived from AKI mice played a critical pathologic role in AKI progression, representing a new therapeutic target for AKI.
Nonlinear Traffic Data Reconstruction in large-scale Internet of Vehicle Systems: A neural network approach

Multi-Access Edge Computing (MEC) can reduce transmission costs and provide faster interactive responses in cloud server-centric Internet of Vehicle (IoV) scenarios. However, the resource space of MEC server is limited, and the large amount of data uploaded by RSU may limit the further development of MEC network. Compressed Sensing (CS) proves that for the data with certain internal structure, a complete data set can be reconstructed even if the sampling frequency is lower than the requirements of the sampling theorem. In the current works, traffic data compression is accomplished by directly reducing the sampling frequency in the process of collecting traffic data. However, CS reconstruction only utilizes the linear characteristics of data. Aiming to fully utilize the nonlinear characteristics of data, we propose a neural network based traffic data reconstruction model framework, called NRTD. NRTD instantiates the process of generalized matrix factorization and combines the potential features of multilayer perceptrons to improve the fitting degree of the model to the traffic flow data change curve. Parameter optimization and model comparison experiments are carried out with different missing rates and missing scenes. The experimental results show that the proposed method is superior to the conventional compressed sensing reconstruction model before improvement under different conditions.
Patterns of Social Support and Multiple Roles on the Psychological Wellbing of Working-Class Women

Aim: The multiple roles of working women are impacting their psychological wellbeing. What is difficult to determine is if this impact is negative or positive. The objectives of this study were to examine the psychological well-being of working-class women in the Ga South municipality in Ghana on the six subscales of psychological wellbeing tool. The study also sorts to examine if multiple roles of working-class women had a positive relationship on their psychological wellbeing and finally to ascertain if the patterns of social support positively related to the psychological wellbeing of working-class women in Ga South Municipality. Study Design: The study targeted working women in formal sectors (Education, Health and Banking) in the municipality. A sample size of 346 working women were selected using convenient sampling method Results: The data showed that working women generally have positive perception of their psychological wellbeing in terms of autonomy, environment mastery, personal growth, positive relations, purpose in life and self-acceptance. There was a significant relationship between multiple roles of working women and their psychological wellbeing. Social support also had a positive relationship with the psychological wellbeing of working women. Conclusions: Working women in the Education, Banking and Health sectors at Ga South Municipality have a high sense of psychological wellbeing; these women appear to be autonomous, and have mastery over their environment.
Applying ANN and TM to Build a Prediction Model for the Site Selection of a Convenience Store

This article builds a systematic and reliable site selection prediction model for a chain of convenience stores (CVSs) to improve the existing decision method of using experienced managers to select sites. Specifically, this study used an artificial neural network (ANN) technique—back-propagation neural network (BPN)—to build the prediction model. To achieve optimization in executing the BPN, the Taguchi method (TM) was adopted to find the optimal parameters for the BPN. The actual data from a chain of CVSs was employed to validate the model. The results indicated that the prediction accuracy rate and decision quality of the proposed model were higher than those of the existing manager-directed decision method. With intense retail competition, the accurate determination of the location of a new convenience store (CVS) is vital to its success. This study asserts that with systematic and scientific assessment, the site selection decision for new chain CVSs will be less human-biased in nature if the prediction model is used as an auxiliary decision-making tool.
Optimized Configuration of Diesel Engine-Fuel Cell-Battery Hybrid Power Systems in a Platform Supply Vessel to Reduce CO2 Emissions

The main objective of this paper is to select the optimal configuration of a ship’s power system, considering the use of fuel cells and batteries, that would achieve the lowest CO2 emissions also taking into consideration the number of battery cycles. The ship analyzed in this work is a Platform Supply Vessel (PSV) used to support oil and gas offshore platforms transporting goods, equipment, and personnel. The proposed scheme considers the ship’s retrofitting. The ship’s original main generators are maintained, and the fuel cell and batteries are installed as complementary sources. Moreover, a sensitivity analysis is pursued on the ship’s demand curve. The simulations used to calculate the CO2 emissions for each of the new hybrid configurations were developed using HOMER software. The proposed solutions are auxiliary generators, three types of batteries, and a proton-exchange membrane fuel cell (PEMFC) with different sizes of hydrogen tanks. The PEMFC and batteries were sized as containerized solutions, and the sizing of the auxiliary engines was based on previous works. Each configuration consists of a combination of these solutions. The selection of the best configuration is one contribution of this paper. The new configurations are classified according to the reduction of CO2 emitted in comparison to the original system. For different demand levels, the results indicate that the configuration classification may vary. Another valuable contribution of this work is the sizing of the battery and hydrogen storage systems. They were installed in 20 ft containers, since the installation of batteries, fuel cells and hydrogen tanks in containers is widely used for ship retrofit. As a result, the most significant reduction of CO2 emissions is 10.69%. This is achieved when the configuration includes main generators, auxiliary generators, a 3,119 kW lithium nickel manganese cobalt (LNMC) battery, a 250 kW PEMFC, and 581 kg of stored hydrogen.
Conceptualization and Measurement Modeling of Consumer's Perceived Risk in Online Shopping

Perceived risk is an important variable in consumer behavior research. It has significant influences on a consumer's information processing and shopping decisions. A consumer's behavior of information processing and decision processing is evolving in online shopping. The traditional inventory used to measure perceived risk will not be applicable to measuring Internet consumer's perceived risk. Without reliable and valid measures,the research in the field of consumer's perceived risk in online shopping is limited.The paradigm suggested by Chuchill(1979) investigates Internet consumer's perceived risk based on literature review. We define the perceived risks of Internet shopping as the feelings and judgments about the negative outcome of Internet shopping. Based on the definition of the construct of consumer's perceived risks in Internet shopping,we have analyzed its dimensions and developed measurement items. We have collected data and analyzed them in order to improve the reliability and validity of measurement instrument. Four various models are constructed to compare the fit of goodness and theoretical parsimony.We have suggested that online shopping consumer's perceived risks consist of five dimensions:(1) perceived store-opportunism risk,(2) perceived product-performance risk,(3) perceived financial risk,(4) perceived delivery risk,and(5) perceived privacy risk. Perceived store-opportunism risks are a consumer's worries or concerns that online stores seek only their benefits,but are not capable of delivering the expected products and services. Perceived product-performance risks are a consumer's concerns that qualities and features of purchased products from online store do not matched expected performance. Perceived financial risks are a consumer's worries about monetary loss or extra expenditures from Internet shopping. These are also known as economic risks. Perceived delivery risks involve the worry and /or concern about possible damage,loss of purchased products,and late delivery. Perceived privacy risks are a consumer's worry about stolen and /or misuse of private information during the process of online shopping.Based on those five dimensions 15 items were used as the indicators of measuring models. To determine a quality measuring model from the perspectives of goodness fit and theoretical parsimony,we have constructed four various conceptual models used to analyze,compare,and assess the results of the empirical data. We finally found one measuring model with the best fit of a model with the best theoretical parsimony.The results of this study provided conceptual basis and measuring scales for research on consumer's perceived risks in online shopping. They provide powerful support for the research of consumer behaviors related to perceived risk. The study makes theoretical contribution to the field of consumer' perceived risks in online shopping and managerial implications for electronic commerce.
Elaborate expressions in Dai Lue

The Dai Lue language, in common with other Southeast Asian languages, has many elaborate expressions: four-syllable units that often have idiomatic and colourful meanings. Using data from a corpus of Dai Lue texts, this paper explains seven strategies that are used for creating elaborate expressions. These range from those that are flexible and open to creative manipulation, to those that form fixed lexemes. The most flexible strategy, and the most common, is based on the large number of coordinate compound words in Dai Lue. Coordinate compounds are expanded upon in several ways to form a four-syllable expression. Other strategies involve reduplication and the heaping up of synonyms. Elaborate expressions that are lexemes are distinguished from those that are not. Listing of elaborate expressions based on their canonical structure has proved to be a dead end typologically. An exploration of these seven formation strategies in Southeast Asian languages holds promise for new insights into their morphology.