Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Media Influencers as Mediators of Commercial Messages

Abstract Social media influencers are integral to contemporary organizations’ marketing strategies. Despite growing interest in the topic, there is scant knowledge of how organizations manage and collaborate with influencers in their content production during commercial collaborations. Drawing on semi-structured interviews and a semiotic analysis of social media content, this study elucidates the dynamics of organizations’ commercial collaborations with influencers and discusses how influencers decode and transmit organizations’ commercial messages to their followers in the destination marketing context. Social reality and commercial messages are enmeshed in the content narrative and interpreted by the influencer and their knowledge of their audience into what they could mean and become in the semiotic and symbolic landscapes of social media environments. Thus, an influencer’s interpretation of organization’s commercial messages is embedded in the social media environment.
Seasonal Water Mass Evolution and Non‐Redfield Dynamics Enhance CO2 Uptake in the Chukchi Sea

Abstract The Chukchi Sea is an increasing CO2 sink driven by rapid climate changes. Understanding the seasonal variation of air‐sea CO2 exchange and the underlying mechanisms of biogeochemical dynamics is important for predicting impacts of climate change on and feedbacks by the ocean. Here, we present a unique data set of underway sea surface partial pressure of CO2 (pCO2) and discrete samples of biogeochemical properties collected in five consecutive cruises in 2014 and examine the seasonal variations in air‐sea CO2 flux and net community production (NCP). We found that thermal and non‐thermal effects have different impacts on sea surface pCO2 and thus the air‐sea CO2 flux in different water masses. The Bering summer water combined with meltwater has a significantly greater atmospheric CO2 uptake potential than that of the Alaskan Coastal Water in the southern Chukchi Sea in summer, due to stronger biological CO2 removal and a weaker thermal effect. By analyzing the seasonal drawdown of dissolved inorganic carbon (DIC) and nutrients, we found that DIC‐based NCP was higher than nitrate‐based NCP by 66%–84% and attributable to partially decoupled C and N uptake because of a variable phytoplankton stoichiometry. A box model with a non‐Redfield C:N uptake ratio can adequately reproduce observed pCO2 and DIC, which reveals that, during the intensive growing season (late spring to early summer), 30%–46% CO2 uptake in the Chukchi Sea was supported by a flexible stoichiometry of phytoplankton. These findings have important ramification for forecasting the responses of CO2 uptake of the Chukchi ecosystem to climate change.
Impacts of drying-wetting cycles on rhizosphere respiration and soil organic matter decomposition

Drying e wetting cycles in ﬂ uence both soil organic matter (SOM) decomposition and rhizosphere pro- cesses. Rhizosphere processes also affect SOM decomposition through rhizosphere priming. However, little is known about how drying e wetting cycles regulate SOM decomposition with rhizosphere priming, because most previous studies incubated root-free soils and omitted the rhizosphere effect. To investigate the effect of drying e wetting cycles on SOM decomposition in the presence of plants, we grew sun ﬂ ower ( Helianthus annuus ) and soybean ( Glycine max ) in a sandy loam soil under the treatments of either constant moisture or 12 drying e wetting cycles, and used a continuous 13 C-labeling method to partition soil respiration into rhizosphere respiration and SOM decomposition. We found that compared to the constantly-moist treatment, the severe drying e wetting cycles in soils planted with sun ﬂ ower signi ﬁ cantly reduced shoot biomass (32%), root biomass (52%), rhizosphere respiration (29%), and SOM decomposition (22%), while the moderate drying e wetting cycles in soils planted with soybean did not signi ﬁ cantly affect these variables. Moreover, SOM decomposition rates in the planted treatment subjected to constantly-moist or drying e wetting conditions were signi ﬁ cantly higher compared with the constantly-moist unplanted treatment, indicating a positive rhizosphere priming effect under both soil moisture regimes. However, drying e wetting reduced the rhizosphere priming of sun ﬂ ower (69% versus 33%) likely due to lower plant biomass and rhizodeposition, but produced similar rhizosphere priming of soybean (82% versus 85%). Overall, drying e wetting cycles signi ﬁ cantly modulated rhizosphere respira- tion and SOM decomposition, with the magnitude depending on soil drying intensity and plant growth performance.
Finite-element analysis of steel shear walls with low-yield-point steel web plates

Over the past three decades the steel shear wall system has been used to resist lateral loads, especially in high-rise buildings in the USA and Japan. One way to improve the performance of the system is to use different materials. This study involved finite-element analysis of steel shear walls under periodic and uniform loads, with low-yield-point steel used for the web plate and conventional steel selected for the boundary beams and columns. The aim was to achieve a system with effective web-plate performance that did not require stiffeners. The effect of system dimensions, beam stiffness, frame column and web-plate thickness on the periodic and uniform behaviour of the system was observed. It is revealed that steel shear walls with low-yield-point steel web plates exhibit better resistance to cyclic loads with more force absorption by the web plate compared to a conventional steel. Good accordance was found between numerical and theoretical values in the low-yield-point infill system, and excellent def.
Back-end Reference Architecture for Smart Water Meter Data Gathering Service

The Finnish waterworks industry is on the brink of digitalization. Currently, many of them have started to convert their water meters to smart water meters. However, there is yet no suitable solution for gathering the IoT data from these smart water meters. To answer their arising needs, many pilots and workshops have been conducted. Those pilots have yielded some basic ground rules for their use cases. In this study, those ground rules have been gathered as a set of requirement categories. The categories are studied and analyzed in order to establish a reference architecture for IoT data-gathering systems suitable for waterworks. Using the requirements and the reference architecture, an information system, Dataservice, was implemented by Vesitieto Oy. The system gathers the IoT data and visualizes it to waterworks’ employees. The System was deployed in Microsoft’s cloud service, but other cloud vendors were examined as well. The system has a two-folded database system, the data required by the system, like users and user groups, are held in the SQL database. The IoT-data is held in a NoSQL database. The selected NoSQL database provider was MongoDB as it could be integrated with the cloud provider.
The strategic implications of black empowerment in South Africa: a case study of boundary choice and client preferences in a small firm

This paper initiates a research programme on the strategic implications of BEE, through an in-depth case study of a small South African services firm. The case involves a meter-reading firm that has adapted flexible boundaries within the value chain to accommodate heterogeneous client preferences shaped by BEE policy. While the case is very specific, the analysis highlights three core features of BEE policy as a strategic variable. Firstly, the case supports an assertion that BEE policy is a demand-based intervention, altering client preferences regarding the value chain. Secondly, the case confirms that BEE is a market-based policy that may be implemented in a variety of ways by different clients. Thirdly, the case shows that firms do not passively respond to BEE policy but explore strategic responses that balance BEE requirements with other organizational goals . of of institutional its on the redress of historic imbalances created under the Apartheid regime. In the business world, in government’s black economic empowerment (BEE) The literature noted the role of BEE in mergers and acquisitions 2005), but research on the impact of BEE on strategic decisions and value chain structure is scarce. BEE research is of practical importance to managers, who seek to balance BEE requirements with a range of other competitive goals, and can also offer important insights to policymakers. This paper initiates a research programme on the strategic implications of BEE, through an in-depth case study of a small South African services firm. The case involves a meter-reading firm that has adapted its boundaries within the value chain to accommodate client preferences shaped by BEE policy. The case study consists of three steps. First, I show how BEE policy affects the preferences of meter-reading clients. Second, I show that the changes in client preferences generate changes in the boundaries of the firm, i.e. in the extent of its activities within the value chain. Third, I show that the firm does not merely respond to these preferences, but accommodates changes in preferences in a strategic manner that preserves its competitive advantage. The case study is based on a setting where BEE policy is a dominant feature in the strategic landscape due to the large proportion of public sector clients in the meter-reading industry. Despite this idiosyncratic setting, the case provides a starting point for research on the
A Survey on Comparative Analysis of Agile Software Development Methodologies

Software development methodologies is the process of dividing the software development process into different phases in order to achieve better greater planning and management of the software. For developing software’s there consists of many methodologies available But Agile Methodology is one of the methods which were introduced to meet the customer’s new requirements for developing software product. This paper is going to survey about the comparative analysis of agile software which contains different kinds of agile methodologies. Some of them are Scrum, Kaban, Extreme Programming, Lean, Feature Driven Development (FDD), Adaptive Software Development (ASD) and Dynamic Systems Development Method (DSDM), etc. and describes about the differences between them and recommends where to use and when to use. According to recent survey there were nearly 14 different Kanban boards were available and also the survey explains how the features are represented in the boards and it was compared with 22 software tools for implementing them to virtual Kanban boards, for analyzing there sources available on the web.
Hospital Management Software with Arthritis Prediction in Ayurveda

The application of data mining is visible in fields like commerce, e-business, and trade. The medical fields are rich in information but the knowledge is still weak. Data wealth is high in the medical field. But there is a lack of analytic tools to analyze trends in data. Here we implement a hospital management software in order to computerize the front office workflow and it implements Predictive models for the diseases using machine learning algorithms. The front office management deals with the collection of patient information and diagnosis details etc. Traditionally all these works were done manually and using this software we can digitalize the entire operations. We are implementing this hospital management software and predictive models in Ayurveda. As the initial step, we are implementing a predictive model for Arthritis, by analyzing Rheumatoid Factor (RF), age and symptoms of the patient. There are five types of arthritis Gout, Rheumatoid arthritis, Osteoarthritis, Psoriatic arthritis, and Juvenile arthritis. The age, RF value, and age determine the type of arthritis the person possesses. Rheumatoid factor is an antibody that can be detected in the blood of a person who has arthritis. We use six machine learning algorithms here. They are SVM, CART, Linear Regression, KNN, Naïve Bayes, Linear Discriminant analysis.
Key Roles of Phe 1112 and Ser 1115 in the Pore-Forming IIIS5-S6 Linker of L-Type Ca 2 (cid:1) Channel (cid:1) 1C Subunit (Ca V 1.2) in Binding of Dihydropyridines and Action of Ca 2 (cid:1) Channel Agonists

Voltage-dependent L-type Ca 2 (cid:1) channels are modulated by the binding of Ca 2 (cid:1) channel antagonists and agonists to the pore-forming (cid:1) 1c subunit (Ca V 1.2). We recently identified Ser 1115 in IIIS5-S6 linker of (cid:1) 1C subunit as a critical determinant of the action of 1,4-dihydropyridine agonists. In this study, we applied alanine-scanning mutational analysis in IIIS5-S6 linker of rat brain (cid:1) 1C subunit (rbCII) to illustrate the role of pore- forming IIIS5-S6 linker in the action of Ca 2 (cid:1) channel modulators. Ca 2 (cid:1) channel currents through wild-type (rbCII) or mutated (cid:1) 1C subunits, transiently expressed in BHK6 cells with (cid:2) 1a and (cid:1) 2 / (cid:3) subunits, were analyzed. The replacement of Phe 1112 by Ala (F1112A) significantly impaired the sensitivity to Ca 2 (cid:1) channel agonists ( S )-( (cid:2) )-Bay k 8644 and FPL-64176, and mod-estly to 1,4-dihydropyridine (DHP) antagonists. The low sensi- tivity of F1112A and S1115A to DHP antagonists was consistent with the reduced binding affinity for [ 3 H]( (cid:1) )PN200-110. The replacement of Phe 1112 by Tyr, but not by Ala, restored the long openings produced by FPL-64176, thus indicating the critical role of aromatic ring of Phe 1112 in the Ca 2 (cid:1) channel agonist action. Interestingly, double-mutant Ca 2 (cid:1) channel (F1112A/ S1115A) failed to discriminate between Ca 2 (cid:1) channel agonist ( S )-( (cid:2) )-1,4-dihydro-2,6-dimethyl-5-nitro-4-(2-[trifluoromethyl] phenyl)-3-pyridine carboxylic acid methyl ester (Bay k 8644) and antagonist ( R )-( (cid:1) )-Bay k 8644 and was blocked by the two enantiomers in an identical manner. These results indicate that both Phe 1112 and Ser 1115 in linker IIIS5-S6 are required for the action of Ca 2 (cid:1) channel agonists. A model of the DHP receptor is proposed to visualize possible interactions of Phe 1112 , Ser 1115 , and other DHP-sensing residues with a typical DHP ligand nifedipine.
Interface Design Techniques for Electronic Nose Sensors:A Survey

— Electronic nose systems comprise a more or less sophisticated hardware that is incorporated with sensors, electronics, pumps, and flow controller, where the software components ensure suitable technological hardware monitoring, data pre-processing, statistical analysis, and display of processed data. The current paper seeks to survey on interface design techniques for electronic nose sensors, with a specific focus on interface circuit design techniques for signal conditioning of electronic nose sensors. In addition, the paper classifies these circuits into two primary categories: integrated circuits and non-integrated circuits. Lastly, tables are provided to compare frequent methods used and specific application of the e-nose.
JSOPT: A Framework for Optimization of JavaScript on Web Browsers

In the current era where multi-core technologies are very common in use, the existing web browsers are unable to fully utilize the capability of multi-core processors.The web browsers execute the JavaScript code locally in order to produce an efficient response of web pages. This responsiveness is however limited by the fact that the JavaScript code is uni-threaded, and consequently, the efficiency of the code degrades if it involves a large number of computations. In this paper, we propose a framework called JSOPT (JavaScript Optimizer) which generates an efficient JavaScript code to effectively utilize multi-core architectures. The framework uses a template containing constructs for communication & synchronization, and subsequently generates optimized code to be executed on the multi-core architectures. Multiple instances of templates are then generated with different implementations of the code and the best instance is selected to be incorporated in the library. With the optimized code generated using JSOPT, our results show a significant improvement in the performance of several benchmarks involving intensive computations based matrix operations on the Mozilla Firefox web browser.
Muscles adaptation to aging and training: Architectural changes – A randomised 1 trial

Background : To investigate how anatomical cross-sectional area and volume of quadriceps 28 and triceps surae muscles were affected by ageing, and by resistance training in older and 29 younger men, in vivo . 30 Methods : The old participants were randomly assigned to moderate (O55, n=13) or high-load 31 (O80, n=14) training intervention (12 weeks; 3 times/week) corresponding to 55% or 80% of 32 one repetition maximum, respectively. Young men (Y55, n=11) were assigned to the 33 moderate-load training program. Each groups received the exact same training volume on 34 triceps surae and quadriceps group (Reps x Sets x Intensity). The fitting polynomial 35 regression equations for each of anatomical cross-sectional area-muscle length curves were 36 used to calculate muscle volume (contractile content) before and after 12 weeks using 37 magnetic resonance imaging scans. 38 Results : Only Rectus femoris and medial gastrocnemius muscle showed a higher relative 39 anatomical cross-sectional area in the young than the elderly on the proximal end. The old 40 group displayed a higher absolute volume of non-contractile material than young men in 41 triceps surae (+96%). After training, Y55, O55 and O80 showed an increase in total 42 quadriceps (+4.3%; +6.7%; 4.2% respectively) and triceps surae (+2.8%; +7.5%; 4.3% 43 respectively) volume. O55 demonstrated a greater increase on average gains compared to 44 Y55, while no difference between O55 and O80 was observed. 45 Conclusions : Muscle loss with aging is region-specific for some muscles and uniform for 46 others. Equivalent training volume at moderate or high intensities induced no additional 47 muscle volume gains for old men. These data suggest that physical exercise at moderate 48 intensity (55 to 60% of one repetition maximum) can retain the aging related loss of muscle 49 mass.
ULTRASONIC NAVIGATION FOR BLIND USING EMBEDDED MICROCONTROLLER

The aim of this project is to investigate the development of a navigation aid for blind and visually impairedpeople. The paper represents an innovative project design and implementation of an Ultrasonic Navigation system in order to provide fully automatic obstacle avoidance with audible notification for blind pedestrians. This blind guidance system is safe reliable and cost-effective. Ultrasonic sensor and ATtmega328 are used. The distance between the object and the sensor is below 100 cm beep sound is thecircuit. The circuit may be further improved technologically so that it can be used by the blind people.
Screening for fungicide degrading potential of isolated bacterial strains and identification of potent degrading strains

The total 17 fungicide degrading isolated strains (FDB1 to FDB17) were tested for fungicide degrading potential. All the strains were able to utilize the sole carbon source from fungicides viz . , difenoconazole, myclobutanil and fluopyram+ tebuconazole at different concentrations for its growth and development but all strains showed variation in their tolerance level of fungicide. In mineral salt agar medium spiked with difenoconazole at 0.5 ml/L, myclobutanil (0.4 g/L) and fluopyram+ tebuconazole (0.5 ml/L), the highest degree of tolerance was visually observed in FDB5, FDB8, FDB13 and FDB16 strains which exhibited moderate growth. In another experiment, all the bacterial strains exhibited the growth in MSM amended with either fungicide or glucose as a sole carbon source throughout the period of study. All the strains were able to utilize a sole carbon source from fungicides as compared with glucose. The turbidity of inoculated broth was increased day by day and recorded as in absorbance. Among all the strains, the bacterial strains viz . , FDB5, FDB8, FDB13 and FDB16 were showed maximum absorbance on 2 days of incubation and it was approximately near about the absorbance of glucose amended medium. The results indicated that, the absorbance was recorded on 0 days of incubation was approximately ~1.5 × 10 8 CFU/ml counts as compared with McFarland standard. After 1 day of incubation, the absorbance was increase and their count was approximately ~3×10 8 CFU/ml. More than 3×10 8 CFU/ml population was recorded on 2 nd day of incubation. It was found that all the fungicide degrading strains had the capability to break down each of the three triazole fungicides and was utilized the carbon for their growth. These fungicide degrading strains were sent to the National Centre for Microbial Resources, Pune for identification. These strains were identified on the basis of 16S rRNA gene sequencing 1200 bp and the results obtained are as; FDB5 ( Lysinibacillus macrolides ), FDB8 ( Inquilinus limosus ), FDB13 ( Stenotrophomonas acidaminiphila ) and FDB16 ( Bacillus subtilis ).
Causativization

In the search for linguistic universals which typifies the generative approach to grammar, nothing is as revealing as phenomena which manifest themselves in a wide variety of languages. By exploring the similarities and differences that we find in a single phenomenon cross-linguistically, we can gain insight into the nature of the linguistic universals that are responsible for the phenomenon in question. This study is an investigation into one such phenomenon, morphological causativization (henceforth causativization), which may be illustrated by the following examples from a variety of languages.
“I got caught up in the game”: Generational influences on contraceptive decision making in African–American women

Purpose Reproductive health disparities are a significant issue for African–American adolescents. This study was designed to explore the cross‐generational influences on adolescent sexuality in a cohort of daughters/granddaughters of U.S. born African–American women. Data sources Data were generated through interviews with triads of African–American women: grandmothers, and their daughters and granddaughters, to gain insight into the phenomena of early sexual debut, high rates of unintended pregnancies, HIV/AIDS, and other sexually transmitted infections from a cross‐generational perspective. Conclusions Six themes emerged from the data: southern influences; a worldview of relationships; communication–key to preparedness; seeking information from mom; “I got caught up in the game”; and contraceptive use and beliefs. In this sample, mothers’ and grandmothers’ culture, values, and beliefs significantly influenced the adolescents’ sexual and reproductive decision making. Implications for practice Clinicians' knowledge of African–American culture, beliefs, and family values is key when providing guidance about contraception to these young women.