Miracle-dz/UniFAR-FTUs huggingface dataset:
Making Sense of Multi-Actor Social Collaboration in Building Information Modelling Level 2 Projects: A Case in Malaysia

Despite the diversity of thinking among the scholars on building information modelling (BIM) collaboration, there is a paucity of studies that capture the dimension of social collaboration in BIM projects. This study attempts to develop a comprehensive understanding on the key attributes of multi-actor social collaboration in BIM projects through the experience of practitioners in BIM-Level 2 construction project. The success of multi-actor social collaboration has been investigated through structured interviews with 22 BIM practitioners in a BIM-Level 2 project based on an established theoretical framework of social collaboration. The findings indicted that relationship-oriented attributes; relational contracts BIM execution plan; guideline, standard and work process manual approaches; employer information requirement (EIR); understanding roles and leadership; commitment from top management; resources; training, team building workshop and awareness program; coordination; and understanding on the theoretical knowledge of BIM are of importance towards multi-actor social BIM collaboration. This study acknowledges that the success of multi-actor social collaboration was influenced by the consolidation of many attributes, and it extends the dominant relationship between related attributes for multi-actor social collaboration based on the "best practice approach", which includes dominant-centric attributes (i.e., behaviour formation, procurement model and support principles). This research contributes to the body of BIM knowledge in the construction domain by focusing on what it takes to achieve greater social collaboration in BIM Level 2 projects.
TUNER PERFORMANCE IN THE S1-GLOBAL CRYOMODULE

S1-Global is a collaborative effort of INFN, DESY, FNAL, SLAC and KEK, in the framework of the ILC global collaboration. For this project two cryomodules, 6 meter long and hosting four SC cavities each, were realized and successfully cold tested at KEK-STF. Three different cavity tuning systems, provided with fast tuning capability through piezoelectric actuators (piezo), were installed, and fully characterized in static and dynamic operation: Blade Tuner from INFN/FNAL, Saclay Tuner from DESY, Slide Jack Tuner from KEK. Finally, Lorenz Force Detuning (LFD) active compensation has been successfully achieved during high power cavity tests in pulsed RF regime, where active control of the LFD disturbance up to Hz-level residual detuning has been achieved with each type of tuning system up to the maximum gradient of each cavity. The installation procedures, together with the relevant results and their analyses are summarized in the paper.
Identification of Questionnaire Improvements to Assess Familial Support in Malignant Brain Tumor Patient

BACKGROUND: To support decision-making for patients with malignant brain tumors, it is necessary to understand family needs during the hospitalization period. The assessment sheets and checklists generally used in the ward focus on the patient’s condition with only a few items related to family information. Many checklists are not tailored to the patient’s disease and therefore do not address changes in condition and neurological symptoms. Thus, based on previous research, this study aimed to extract items that clinical nurses consider necessary for the family members of patients with malignant brain tumors by filling out a self-administered assessment. METHODS: For the 92 self-made questions, the Delphi method was performed three times for the panelists; consensus was reached on the necessity of a family self-admi-nistered information gathering item. The patients’ families answered questions using a 1 - 5 rating scale to assess support required, with 5 being necessary and 1 being unnecessary. In the analysis of the 3rd survey, the consensus rate was calculated as follows: out of 5 options for each question, scores of 5 and 4 were combined and judged to be necessary. The average value was calculated as 87.3% and this value was used as the criterion for agreement. RESULTS: In the final
Development and In Vitro/In Vivo Evaluation of pH-Sensitive Polymeric Nanoparticles Loaded Hydrogel for the Management of Psoriasis

Methotrexate (MTX), the gold standard against psoriasis, poses severe problems when administered systemically viz increased toxicity, poor solubility and adverse reactions. Hence, a topical formulation of MTX for the management of psoriasis can be an effective approach. The present study aimed to develop an MTX based nanoparticle-loaded chitosan hydrogel for evaluating its potential efficacy in an imiquimod-induced psoriatic mice model. MTX-NPs loaded hydrogel was prepared and optimized using the o/w emulsion solvent evaporation method. Particle size, zeta potential, entrapment efficiency, in vitro drug release, ex vivo permeation, skin irritation and deposition studies were performed. Psoriatic Area and Severity Index (PASI) score/histopathological examinations were conducted to check the antipsoriatic potential of MTX-NPs loaded hydrogel using an imiquimod (IMQ)-induced psoriatic model. Optimized MTX-NPs showed a particle size of 256.4 ± 2.17 nm and encapsulation efficiency of 86 ± 0.03%. MTX-NPs loaded hydrogel displayed a 73 ± 1.21% sustained drug release in 48 h. Ex vivo permeation study showed only 19.95 ± 1.04 µg/cm2 of drug permeated though skin in 24 h, while epidermis retained 81.33% of the drug. A significant decrease in PASI score with improvement to normalcy of mice skin was observed. The developed MTX-NPs hydrogel displayed negligible signs of mild hyperkeratosis and parakeratosis, while histopathological studies showed healing signs of mice skin. So, the MTX-NPs loaded hydrogel can be a promising delivery system against psoriasis.
Developing Safety Performance Function for Freeways by considering Interactions between Speed Limit and Geometric Variables

Safety performance functions (SPFs) are crash prediction models that quantitatively relate the expected number of crash counts with traffic volume and roadway and roadside geometries. SPFs help traffic safety officials identify unsafe locations and take appropriate counteractive measures. A study assembled crash and roadway geometry data of freeways (only Interstate highway data were used for this study) in Connecticut for development of SPFs. Models were estimated separately for single-vehicle and multivehicle crashes. Total and fatal and injury crashes were considered for model estimation for both single-vehicle and multivehicle crashes. For each crash category, three model estimations were performed with negative binomial distribution models with all geometric variables, with speed limit only, and with interaction between speed limit and roadway geometric variables. The best models were selected for each crash category through a comparison of goodness-of-fit measures (Akaike information criterion). Interaction models were found to be the best models for all crash categories. This finding suggests the importance of incorporating the interaction effect between variables, in particular between speed limit and geometric variables such as number of lanes, shoulder width, and median type, for estimation of crash prediction models.
The dynamics of social cohesion in response to simulated intergroup conflict in banded mongooses

Abstract Intergroup conflict is widespread in nature and is proposed to have strong impacts on the evolution of social behavior. The conflict–cohesion hypothesis predicts that exposure to intergroup conflict should lead to increased social cohesion to improve group success or resilience in future conflicts. There is evidence to support this prediction from studies of affiliative responses to outgroup threats in some animal societies. However, most of these studies have focused on behavioral changes over short time periods (minutes and hours after exposure to an outgroup), and hence very little is known about the dynamics and durability of responses to intergroup conflict over the longer term. We investigated this question by simulating intergroup encounters in wild banded mongooses (Mungos mungo) and measuring social behavior before, during, and after these encounters over a 5‐day period. We also ran control trials with non‐threatening stimuli. Banded mongooses reacted immediately to intrusion stimuli by vocalizing, grouping together, and advancing on the stimulus. In the first 5 min after simulated intrusions, we saw an elevation in grooming levels, but in the hour after exposure grooming rates declined sharply, contrary to our expectation. In the two subsequent days, grooming rates remained at this depressed rate. In control trials, the initial increase in grooming was not seen, but grooming declined compared to the longer‐term time periods. Grooming changed across time, but not in the same pattern as during intrusions, suggesting that intrusions had an impact above and beyond that of the experimental setup. The dynamics of grooming responses were short lived and more complex than we initially expected. We suggest this unexpected result may be linked to the frequency of aggressive intergroup encounters in this system. As control and experimental trials were run at different times of year, future work would be needed to confirm that these relative patterns are replicable. Our results indicate short‐lived impacts of outgroup threat on measures of social cohesion in this species, but cannot confirm longer‐term changes.
Exploring Market Support for New Products and Services for Transit and Walking

This paper concerns the relationship between mobility products and services and the propensity to change travel behavior. In an online panel survey, 501 respondents answered questions about their attitudes toward increasing their use of transit and walking. The questions first established base conditions for variables specified by the theory of planned behavior. Respondents were then exposed to seven products and services. A follow-up set of questions revealed shifts in key attitudes. New products and services may influence the traveler's personal inclination to change modal behavior, belief that a change in modal behavior might be socially acceptable, and belief or self-confidence that he or she can change modal behavior. These three attitudinal categories were examined for four market segments, two more positive and two more negative. The positive segments included the transit loyalists, who were already heavy users of transit, and the environmental mode changers, who were not heavy transit users but who wanted to help the environment. Both positive segments significantly shifted their ratings of the social acceptability of transit with the improvements. However, the segments differed in terms of what factors were associated with the improved social acceptability. For the environmental mode changers, the strongest association was with concern about being lost or stranded on public transportation, whereas for the transit loyalists, the strongest association was with being able to depend on public transportation to be timely. However, it is unclear from this research which products and services contribute to improved social acceptability.
Effects of High Hydrostatic Pressure Combined with Vacuum-Freeze Drying on the Aroma-Active Compounds in Blended Pumpkin, Mango, and Jujube Juice

A combination process of completely non-thermal processing methods involving high hydrostatic pressure (HHP) and vacuum-freeze drying (VFD) for producing a new snack from fruit and vegetable blends was developed, and the effect of the process on flavor quality was investigated. The HHP–VFD treatment did not significantly reduce volatile compound contents compared to single HHP or VFD. Gas chromatography–olfactometry showed that HHP–VFD raised the contents of floral-like volatile compounds (e.g., β-ionone) compared to the untreated sample. Sensory evaluation analysis confirmed that the overall liking was unchanged after the HHP–VFD treatment. The HHP–VFD combined treatment is effective in maintaining the flavor and extending shelf life, and is convenient for the portability and transportation of ready-to-drink juice.
An Analysis Research for Digitized Features of Epileptic EEG Using SVM

Epilepsy is one of the most common neurological disorders that greatly disturb patients’ daily lives. Traditional epileptic diagnosis relies on tedious visual screening by neurologists from lengthy EEG recording that requires the presence of seizure (ictal) activities. We proposed to study automated epileptic diagnosis using interictal EEG data that was much easier to collect than ictal data. The research aims to develop an automated diagnostic system that can use interictal EEG data to diagnose whether the person is epileptic. This system could also test epileptic seizures in order to provide doctors with further tests and potential monitor of patients. To test such a system, we extract power spectral feature, Petrosian fractal dimension, Higuchi fractal dimension and Hjorth parameters for analysis, from which we find our system can be used in patient monitoring(seizure detection) and seizure focus localization, with 98.333% and75.5% accuracy respectively.
A priority-based approach for satisfying the diverse users’ needs, capabilities and expectations: a universal kitchen design case

Universal design process is a multi-constraint task due to many user requirements and the complexities caused by the interaction of the requirements in developing design solutions. Since all universal design requirements cannot be equally satisfied, a designer must determine the relative importance and implementation order of each requirement. Prioritisation of requirements is needed, not just to ignore the least important but also to guide designers while coping with dependencies, conflicts and trade-offs between multi-attribute requirements simultaneously. Thus, this study proposes a priority-based approach for satisfying diverse users’ needs, capabilities and expectations in a design process conducted in a computer environment. The planning game technique and the analytic hierarchy process technique using a cost–value approach are the two techniques that are applied in prioritising the diverse requirements. The derived priority information is incorporated into a CAD interface with a developed plug-in tool. A universal kitchen design is chosen as a case study for the priority-based approach. The results of the acceptability studies indicate that the proposed plug-in tool is found useful, understandable, efficient, helpful and satisfactory in universal design process and can be developed for various architectural design applications.
Nanofibrous Membrane with Encapsulated Glucose Oxidase for Self-Sustained Antimicrobial Applications

Polyvinyl alcohol (PVA) nanofibrous membrane, consisting of separately encapsulated glucose oxidase (GOx) and glucose (Glu) nanofibers, was prepared via simultaneously electrospinning PVA/GOx and PVA/Glu dopes. The as-prepared pristine membrane could self-sustainably generate hydrogen peroxide (H2O2) only in contact with an aqueous solution. The H2O2 production level was well maintained even after storing the dry membrane at room temperature for 7 days. Cross-linking the membrane via reaction with glutaraldehyde (GA) vapor could not only prevent the nanofibrous membrane from dissolving in water but also prolonged the release of H2O2. The sustained release of H2O2 from the membrane achieved antimicrobial capability equivalent to that of 1% H2O2 against both Escherichia coli and Staphylococcus aureus. Gram(+) S. aureus cells were more susceptible to H2O2 than Gram(−) E. coli and >99% of S. aureus were killed after 1 h incubation with the membrane. Pristine and GA-crosslinked nanofibrous membrane with in situ production of H2O2 were self-sterilized in which no microorganism contamination on the membrane could be detected after 2 weeks incubation on an agar plate. The GOx/Glu membrane may find potential application as versatile antimicrobial materials in the field of biomedicine, in the food and health industries, and especially challenges related to wound healing in diabetic patients.
The role of r esistant starch in human nutrition

Abstract In this paper, we examine the role and effect of resistant starch (RS) in human nutrition; further, the structure and properties of RS, the food sources based on resistance to digestion in the colon, and the physiological effects of RS are described. The nutritional value of RS, the effect of RS on short-chain fatty acid (SCFA) production, the relationships between RS and colon function, and the relationships between food starch, dietary fibre, and RS content and colon cancer development are reviewed. It has been shown that the use of RS in foods may have some benefits. Resistant starch, digestion of resistant-starch-containing foods have a number of health benefits for colon function but appear to have less effect on lipid-glucose metabolism. It has a positive effect on colon bacterial activity, promotes the growth of beneficial microbes, and reduces the activity of enzymes that are harmful to the digestive system. Under the influence of RS, increased SCFA production lowers the pH of the colon and stimulates bile acid secretion. The decreased pH protects against colon cancer and inhibits the conversion of primary and secondary bile acids, which are cytotoxic to intestinal cells. At the end of the review article, the relationships between RS and the colon microflora, its use as a prebiotic, and the relationship between RS and glucose metabolism are analysed. It was found that the use of RS in the diet might have benefits as it shortens the time it takes food to pass through the colon and increases the amount of stool. It was also found that the physicochemical properties of foods can directly affect the amount of RS and thereby the blood glucose levels and insulin response.
EVALUATION OF THE SWAT MODEL’S HYDROLOGY COMPONENT IN THE PIEDMONT PHYSIOGRAPHIC REGION OF MARYLAND

Continuous water quality monitoring is expensive and spatially impractical in mixed land use watersheds. Mathematical watershed-scale models are among the best tools available for analyzing water resources (quantity and quality) issues in spatially diverse watersheds. Although existing watershed-scale models provide some reasonable guidelines, their application without proper validation has resulted in some misconceptions about such models. This study used six years of hydrologic data to calibrate and validate the capability of the SWAT (Soil and Water Assessment Tool) model in predicting surface and subsurface flow for a 340 ha watershed in the Piedmont physiographic region of Maryland. Previous studies have indicated that most existing models only handle subsurface flow bounded by the surface topography, thus neglecting the possible subsurface flow contribution from the outside of watershed, which appears to be a great model deficiency considering the major pathway of pollutant loadings via subsurface flow. Preliminary simulations showed that SWAT underestimated subsurface flow and total streamflow, especially during wet periods. A water budget analysis, therefore, was performed to quantify various components of the hydrologic cycle within the watershed. The resulting imbalance in water budget analysis suggested a considerable groundwater contribution from outside the watershed, especially during wet years. Adjustments to measured base flow and streamflow were made to exclude the extra groundwater recharge from outside the watershed, thus comparing the model predictions with appropriate measured data. However, SWAT seemed to be unable to simulate the extremely wet hydrologic conditions, even after adjustments to measured data. Overall, the hydrology component of the SWAT model is able to perform an acceptable prediction of long-term simulations for management purposes, but fails to have reasonable predictions for short time intervals (i.e., daily).
Traditional Chinese Medicine Clustering Analysis Based on Near-Infrared Spectroscopy

The Chinese materia medica is classified into several categories according to the major treatment function by experience in the traditional Chinese Medicine. This classification should have material basis. As the medicines have so many ingredients, it is hard to only use the chemical methods and biochemistry methods to analyze the Chinese materia medica. Near infrared spectroscopy is a nondestructive testing method and it can provide structural information of organic molecules which are the main effective components of the Chinese materia medica. We firstly get the NIR spectrum of some Chinese medicine, and then use LSA technology to process the data and cluster them. The result is quite coincident with the Chinese traditional medicine classification.
Copper Bearing Steels from SAIL and Its Application

Steel Authority of India Limited (SAIL) has developed a number of economical, value added hot and cold rolled steels which has satisfied the material requirements for a variety of critical applications. Keeping in view the development in infrastructure, automobile, transport and power sector in India there is huge potential for increase in per capita consumption of steel from the present level of 60kg. Construction and infrastructure will continue to be the dominant steel consuming segment. To meet the requirement of corrosion resistant property for the steels to be used in these two segments, SAIL has successfully developed a number of special quality steel grades with copper such as SAILCOR for Railways and BHEL, HCR variety TMT rebars, IS 2062 Cu bearing structural & plates and copper containing Stainless Steel. Further, a lot of application engineering efforts have been put in to establish these grades in the market by improving product quality, suiting the process at the customers' end and thus ensuring greater acceptability of products. These grades possess superior corrosion resistance and high strength combined with good workability, excellent welding properties and other superior mechanical properties. Such characteristics make these steels a natural candidate for use in a number of segments like transport, construction, power and other engineering sector, agriculture and mining.
Mass-Spectrometry-Based Functional Proteomic and Phosphoproteomic Technologies and Their Application for Analyzing Ex Vivo and In Vitro Models of Hypertrophic Cardiomyopathy

Hypertrophic cardiomyopathy (HCM) is an autosomal dominant disease thought to be principally caused by mutations in sarcomeric proteins. Despite extensive genetic analysis, there are no comprehensive molecular frameworks for how single mutations in contractile proteins result in the diverse assortment of cellular, phenotypic, and pathobiological cascades seen in HCM. Molecular profiling and system biology approaches are powerful tools for elucidating, quantifying, and interpreting dynamic signaling pathways and differential macromolecule expression profiles for a wide range of sample types, including cardiomyopathy. Cutting-edge approaches combine high-performance analytical instrumentation (e.g., mass spectrometry) with computational methods (e.g., bioinformatics) to study the comparative activity of biochemical pathways based on relative abundances of functionally linked proteins of interest. Cardiac research is poised to benefit enormously from the application of this toolkit to cardiac tissue models, which recapitulate key aspects of pathogenesis. In this review, we evaluate state-of-the-art mass-spectrometry-based proteomic and phosphoproteomic technologies and their application to in vitro and ex vivo models of HCM for global mapping of macromolecular alterations driving disease progression, emphasizing their potential for defining the components of basic biological systems, the fundamental mechanistic basis of HCM pathogenesis, and treating the ensuing varied clinical outcomes seen among affected patient cohorts.