bluuebunny/crossref_metadata_2025 huggingface dataset:
Sustainability in Marketing through Customer Relationship Management in a Telecommunication Company
Authors: Hitka M. , Pajtinkova-Bartakova G. , Lorincova S. , Palus H. , Pinak A. , Lipoldova M. , Krahulcova M. , Slastanova N. , Gubiniova K. , Klaric K.
Published: January 2020

The idea of sustainable development links business, environmental and social objectives into one integrated effort aiming to meet a common goal. Due to the influence of current developments in customer behaviour companies revise their business strategies towards more sustainably oriented ways of production, business practices, resource efficiency, waste disposal, building partnerships, communication effectiveness etc. Market with telecommunication services is affected by technology development. Growing demands of customers result in re-evaluation of marketing routine. The main purpose of the research is to identify the change in customers’ approaches and satisfaction with offered products, enterprise processes, and business strategy as a result of implementing Customer Relationship Management in 2014 and subsequently in 2018 with the dependence on socio-demographic characteristics. Customers’ opinions were investigated using a questionnaire. Respondents were selected by direct sampling with contingent valuation. Sample set consisted of 3,282 respondents. Following the results, the fact that there are changes in approaches of customers in investigated areas in terms of gender and age as a result of implementing the Customer Relationship Management can be stated. The customers’ satisfaction with provided services improved. In order to serve the new and constantly evolving needs of the growing number of customers who care about social and environmental issues, the companies are required to permanently monitor their performance on the market and incorporate customer feedback as in input for evaluation of their internal processes. In terms of marketing, positive changes in approach, satisfaction with the quality of provided services and reduced service time were observed. In terms of business strategy, the changes in connection strategy, the effect of customer-driven strategy and services provided by call centres abroad are perceived in positive way. Keywords: sustainability, economical sustainability, marketing, Customer Relationship Management, telecommunication company.
Innovative Literacy Levels: Gender Age and Education Matters
Authors: Krejci P. , Sebestova J.
Published: January 2020

This paper presents the arguments and counterarguments within the scientific discussion on the issue of an innovation activity, which is very important for entrepreneurship and is considered a significant competitive advantage. However, there are factors such as education, age and gender that can influence innovation creation. The main purpose of the research is finding out how innovation creation is related to the gender, age and education of entrepreneurs in common entrepreneurship and social entrepreneurship. The systematic literature review has shown that innovative activity is supported by entrepreneurial competencies. The relevance of the decision of this scientific problem is that they are few studies focusing on that problem. Investigation of the topic of innovative activity in the paper is carried out in the following logical sequence: (1) literature review concerning on innovative activity, typology and modern trends in innovations (2) possibilities of competencies needed for innovations, (3) case study background, based on literature review and previous studies (4) presentation of key results concerning gender, which was found to have no significance regarding entrepreneurship. Methodological tools of the research methods were sociological survey, data analysis. As a result of the calculations, the main issues of innovative activities were detected. The main results were analysed using Cluster analysis and tests of statistical significance. The paper presents the results of an empirical analysis that shows the main gaps in the innovation classification when pure and combined innovation types are presented. The research empirically confirms and theoretically proves the necessity of doing the following steps: inform and educate entrepreneurs in the area of innovation, not only to support innovative activities financially. The findings have practical significance and the results of the research can be useful for public supporters and educational organizations how to work with entrepreneurs with innovative ideas.
Keywords: competencies, determinants of innovations, innovations, literacy.
Study on the suitability of ZnO thin film for dynamic pressure sensing application
Authors: M. N. Suma , Gaddam Venkateswarlu , Prasad M. V. N. , Nayak M. M. , Rajanna K.
Published: January 2020

ZnO thin films were prepared by RF reactive magnetron sputtering on phynox substrate at room temperature for four different thicknesses by varying deposition duration. The structural and morphological properties and composition of these films were characterized using XRD, SEM, and EDS, respectively. Suitability of these films for dynamic pressure sensing applications and the effect of film thickness on dynamic pressure sensing were evaluated experimentally using a shock tube equipment. Shock tube test results show the pure dynamic behavior of ZnO films with fast rise and discharge. Sensors with higher film thickness showed improved sensitivity which is on par with commercially available dynamic pressure sensors. This work demonstrates that the cost-effective sensors based on ZnO thin film are capable of sensing dynamic pressures for different pressure ranges.
Partition coefficients of trace elements between carbonates and melt and suprasolidus phase relation of Ca-Mg-carbonates at 6 GPa
Authors: Sieber Melanie J. , Wilke Franziska , Koch-Müller Monika
Published: January 2020

The presence of Ca-Mg-carbonates affects the melting and phase relations of peridotites and eclogites in the mantle, and (partial) melting of carbonates liberates carbon from the mantle to shallower depths. The onset and composition of incipient melting of carbonated peridotites and carbonated eclogites are influenced by the pure CaCO3-MgCO3-system making the understanding of the phase relations of Ca-Mg-carbonates fundamental in assessing carbon fluxes in the mantle. By performing high-pressure and high-temperature experiments, this study clarifies the suprasolidus phase relations of the nominally anhydrous CaCO3-MgCO3-system at 6 GPa showing that Ca-Mg-carbonates will (partially) melt for temperatures above ~1300 °C. A comparison with data from thermodynamic modeling confirms the experimental results. Furthermore, partition coefficients for Li, Na, K, Sr, Ba, Nb, Y, and rare earth elements between calcite and dolomitic melt, Ca-magnesite and dolomitic melt, and magnesite and dolomitic melt are established.

Experiments were performed at 6 GPa and between 1350 to 1600 °C utilizing a rotating multi-anvil press. Rotation of the multi-anvil press is indispensable to establish equilibrium between solids and carbonate liquid. Major and trace elements were quantified with EPMA and LA-ICP-MS, respectively.

The melting temperature and phase relations of Ca-Mg-carbonates depend on the Mg/Ca-ratio. For instance, Ca-rich carbonates with a molar Mg/(Mg+Ca)-ratio (XMg) of 0.2 will transform into a dolomitic melt (XMg = 0.33–0.31) and calcite crystals (XMg = 0.19–0.14) at 1350–1440 °C. Partial melting of Mg-rich carbonates (XMg = 0.85) will produce a dolomitic melt (XMg = 0.5–0.8) and Ca-bearing magnesite (XMg = 0.89–0.96) at 1400–1600 °C. Trace element distribution into calcite and magnesite seems to follow lattice constraints for divalent cations. For instance, the compatibility of calcite (XMg = 0.14–0.19) for Sr and Ba decreases as the cation radii increases. Ca-Mg-carbonates are incompatible for rare earth elements (REEs), whereby the distribution between carbonates and dolomitic melt depends on the Mg/Ca ratio and temperature. For instance, at 1600 °C, partition coefficients between magnesite (XMg = 0.96) and dolomitic melt (XMg = 0.8) vary by two orders of magnitudes from 0.001 to 0.1 for light-REEs to heavy-REEs. In contrast, partition coefficients of REEs (and Sr, Ba, Nb, and Y) between magnesite (XMg = 0.89) and dolomitic melt (XMg = 0.5) are more uniform scattering marginal between ~0.1–0.2 at 1400 °C.
ONLINE RESERVATION SYSTEM BASED ON E-COMMERCE IN COLEGA STORE YOGYAKARTA
Authors: Khusna Arfiani Nur
Published: January 2020

Kedai Kolega is a business engaged in the production of food and beverages. Colleges Store provides purchase and reservation service. The problem at Kedai Kolega is the reservation process by coming directly to the place so as to make the cost and time inefficient for customers who are away from the location. Customers also can not make reservations outside the operator hours due to limitations of colleagues in serving customers in real time 24 hours a day, Rapid Internet development is the driving factor of e-commerce. The Internet is a global network that connects computer networks around the world. Using the Internet in this case E-Commerce will facilitate Kedai Kolega when performing data management more quickly and accurately and make reservations online. E-Commerce system is tested using black box and alpha test method. The results showed that E-Commerce is able to provide convenience to the colleagues in improving the quality of service to customers
Conceptual approaches to economic growth: the need to transform national financial policy imperatives
Authors: Telnova Нanna
Published: January 2020

Turbulent global processes, driven by the slowdown in the economy growing, including developed countries, require further understanding of the role of financial factors, the heterogeneous impact of which is conditioned by the globalization of financial markets. The analysis of existing conceptual approaches to economic growth allows identifying bottlenecks of the national financial architecture and specifying positive aspects of successful development. The study proved the need to generalize the provisions of the Keynesian and neo-liberal theory (avoiding unipolar compositions financial architecture), supplementing them with recommendations for implementing financial dirigisme in the face of economic shocks. Given the need to transform national financial policies, the focus is on creating conditions for development of the real economy, as a main source of economic growth, through the government support.
Towards a comprehensive uncertainty assessment in environmental research and decision support
Authors: Reichert Peter
Published: January 2020

Uncertainty quantification is very important in environmental management to allow decision makers to consider the reliability of predictions of the consequences of decision alternatives and relate them to their risk attitudes and the uncertainty about their preferences. Nevertheless, uncertainty quantification in environmental decision support is often incomplete and the robustness of the results regarding assumptions made for uncertainty quantification is often not investigated. In this article, an attempt is made to demonstrate how uncertainty can be considered more comprehensively in environmental research and decision support by combining well-established with rarely applied statistical techniques. In particular, the following elements of uncertainty quantification are discussed: (i) using stochastic, mechanistic models that consider and propagate uncertainties from their origin to the output; (ii) profiting from the support of modern techniques of data science to increase the diversity of the exploration process, to benchmark mechanistic models, and to find new relationships; (iii) analysing structural alternatives by multi-model and non-parametric approaches; (iv) quantitatively formulating and using societal preferences in decision support; (v) explicitly considering the uncertainty of elicited preferences in addition to the uncertainty of predictions in decision support; and (vi) explicitly considering the ambiguity about prior distributions for predictions and preferences by using imprecise probabilities. In particular, (v) and (vi) have mostly been ignored in the past and a guideline is provided on how these uncertainties can be considered without significantly increasing the computational burden. The methodological approach to (v) and (vi) is based on expected expected utility theory, which extends expected utility theory to the consideration of uncertain preferences, and on imprecise, intersubjective Bayesian probabilities.
Micropollutant emissions from combined sewer overflows
Authors: Nickel Jan Philip , Fuchs Stephan
Published: January 2020

In an extensive monitoring programme, event mean concentrations of 12 heavy metals, 16 polycyclic aromatic hydrocarbons (PAH), nine pesticides/biocides, three pharmaceuticals, three benzotriazoles, acesulfame, and DEHP (di-(2-ethylhexyl)phthalate) were measured at 10 combined sewer overflow (CSO) facilities throughout Bavaria, Germany, for more than 110 overflow events. A harmonised approach with large volume samplers was used to produce volume-proportional event composite samples. A wide range of event durations and volumes was covered successfully. All substances analysed were detected in CSO samples and the majority were quantified in more than 80% of the samples. Our results confirm that CSOs need to be considered in the debate on micropollutant emissions, and knowledge regarding their concentrations at a regional level needs to be solidified. Distinct substance-specific patterns can be observed in the variability between events and sites as well as in a correlation analysis of substance concentrations. These trends underline the need for differentiation of the substances by their predominant sources, pathways, and transport behaviours. Compared to wastewater treatment plants, CSOs are an important pollution source especially for ubiquitous, primarily stormwater-transported pollutants, including substances causing failure to achieve good chemical status of surface waters, such as the uPBT (ubiquitous, persistent, bioaccumulative and toxic) substances Hg and PAH.
Recent Advances in 1,3,5-Triazine Derivatives as Antibacterial Agents
Authors: Utreja Divya , Kaur Jagdish , Kaur Komalpreet , Jain Palak
Published: January 2020

Triazine, one of the nitrogen containing heterocyclic compounds has attracted the considerable interest of researchers due to the vast array of biological properties such as anti-viral, antitumor, anti-convulsant, analgesic, antioxidant, anti-depressant, herbicidal, insecticidal, fungicidal, antibacterial and anti-inflammatory activities offered by it. Various antibacterial agents have been synthesized by researchers to curb bacterial diseases but due to rapid development in drug resistance, tolerance and side effects, there had always been a need for the synthesis of a new class of antibacterial agents that would exhibit improved pharmacological action. Therefore, this review mainly focuses on the various methods for the synthesis of triazine derivatives and their antibacterial activity.
Elucidating Molecular Interactions of Ten Natural Compounds Targeting E6 HPV High Risk Oncoproteins Using Microsecond Molecular Dynamics Simulations
Authors: Meza-Menchaca Thuluz , Lizano-Soberón Marcela , Trigos Angel , Zepeda Rossana C. , Medina Manuel E. , Galindo-Murillo Rodrigo
Published: January 2020

Background:

Cervical cancer is a major public health issue worldwide, occurring in the vast majority of cases (85%) in low-income countries. Human papillomavirus (HPV) mainly infects the mucosal epithelium, and a small portion causes over 600,000 cases every year worldwide at various anatomical spots, mainly leading to anogenital and head and neck.

Introduction:

The E6 oncoprotein encoded by cancer-associated alpha HPV can transform epithelial cells into tumorigenic tissue. Therapy for this infection and blocking of the HPV E6 oncoprotein could be provided with cost-effective and abundant natural products which are an exponentially growing topic in the literature. Finding an active natural compound that readily blocks HPV E6 oncoprotein which could be available for developing countries without expensive extraction processes or costly synthetic pathways is of major interest.

Method:

Molecular dynamics simulations was performed using the most up-to-date AMBER protein force field ff14SB and a GPU enabled high performance computing cluster.

Results:

In this research we present a study of the binding properties between 10 selected natural compounds that are readily available with two variants of the E6 oncoprotein types (HPV-16 and HPV-18) using 10+ microsecond molecular dynamics simulations.

Conclusions:

Our results suggest that crocetin, ergosterol peroxide and κ-carrageenan natural products binds strongly to both HPV-16 and HPV-18 and could potentially serve as a scaffolding for further drug development.
In silico Studies on the Interaction Between Bioactive Ligands and DPPIV: Insights on Potential Candidates for the Treatment of type 2 Diabetes Mellitus
Authors: Martins Michelle C.M.R. , Pantaleao Simone Q. , de Oliveira Almeida Michell , Weber Karen C. , Honorio Kathia M.
Published: January 2020

Introduction:

The enzyme called dipeptidyl peptidase IV (DPP-IV) is related to the
glycemic control associated with the stimulation of the pancreas to produce insulin. So, its inhibition
is a good strategy for the treatment of type 2 diabetes mellitus.

Methods:

In this study, we have employed molecular modeling strategies such as CoMFA, molecular
docking, molecular dynamics, and binding free energy calculations of a set of DPP-IV inhibitors
in order to understand the main characteristics related to the biological activity of these ligands
against the enzyme.

Results:

The models obtained from CoMFA presented significant values of internal (0.768) and
external (0.988) validations. Important interactions with some residues, such as Glu205, Tyr666,
Arg125, Ser630, Phe357 and Tyr662, were also identified. In addition, calculations of the electronic
properties allowed relating the LUMO and HOMO energies with the biological activity of the
compounds studied. The results obtained from the molecular dynamics simulations and the SIE
calculations (ΔG) indicated that the inhibitor 40 increases the stability of the DPP-IV target.

Conclusions:

Therefore, from this study, it is possible to propose molecular modifications of these
DPP-IV inhibitors in order to improve their potential to treat type 2 diabetes.
A Study on the Investigation of Diffusion Coefficient for Oil Extraction from Terebinth (Pistacia terebinthus L.) Seeds
Authors: Kaya Fatih , Özer Ahmet
Published: January 2020

Objective:

In this study, the extraction of oil from Pistacia terebinthus L’s seeds
grown in Elazig-TURKEY and called menengic in domestic region was investigated.
Crude oil content of the seeds obtained from this region was determined as approximately
47% (w/w).

Methods:

Effects of the parameters such as extraction time, temperature, seeds/solvent ratio
(dosage), the particle size of seeds and type of solvent were examined on the oil extraction
yield. In this context, it has concluded that up to a certain point, the extraction time has increased
the yield of oil extracted. But the extraction temperature showed activity as depending
on the solvent type.

Results:

As expected, it has been observed that the yield of oil has decreased depending on
the increase in particle size and dosage as well. The mathematical model obtained by solving
Fick's second law under the appropriate boundary and initial conditions were used to
calculate diffusion coefficients for the extraction process. Diffusion coefficients for the
seeds with a particle size of 0.55 mm were found to be between 1.15x10-11 and 1.86x10-11
m2s-1. To compare the extraction yield of Pistacia terebinthus L’s seeds with that of sunflower
at the same conditions, the diffusion coefficients of sunflower seeds were calculated
in the range of 9.11x10-12 and 1.13x10-11 m2s-1.

Conclusion:

These figures show that the diffusion coefficients calculated for both oily
seeds are nearly equivalent to each other. The fatty acid composition of extracted oil from
Pistacia terebinthus L’s seeds was determined by GC-FID. The GC-FID results showed
that oleic, linoleic (ω-6) and palmitic acid were main fatty acids in the oil obtained from
menengic seeds.
FbD Supported Development and In Vitro Evaluation of Carbomer based Resveratrol Loaded Topical Antipsoriatic Nanoemulgel for its Targeted Skin Delivery
Authors: Khurana Bharat , Arora Daisy , Narang Raj K.
Published: January 2020

Background:

Resveratrol is a wonder therapy for the treatment of several skin
disorders, including psoriasis, but its skin permeation limits its applications.

Objective:

The present work dealt with optimizing and formulating resveratrol loaded vitamin
E based nanoemulsion and carbomer based nanoemulgel intended for topical application
in the treatment of plaque psoriasis.

:

The major objective of this study was to achieve the quality target product profile with respect
to enhanced skin permeation and superior skin deposition of the formulated
nanoemulgel to achieve the superlative therapeutic advantages.

Methods:

Formulation by design (FbD) approach was employed to optimize varied critical
material attributes such as the concentration of oil and Smix to achieve the desired quality
characteristics. Carbomer based nanoemulgel was formulated and evaluated.

Results:

Optimized formulation was having globule size (168.3 ± 4.98 nm), percentage
cumulative permeation (4.81 ± 0.65%), permeation flux (7.62 ± 0.39 μg hr-1cm-2), and skin
deposition (668.65 ± 11.98 μg cm-2). Nanoemulgel was found to have optimum physical
properties in terms of viscosity, spreadability, pH and physical stability. The extent of skin
deposition was approximately 6.682 times higher while the permeation enhancement ratio
was around 2.872 as compared to conventional formulation indicating its higher skin targeting
abilities, which was further ratified by Confocal Laser Scanning Microscopy results.

Conclusion:

Nanoemulgel formulated by the current FbD approach has enhanced skin
permeation and skin deposition properties as compared to conventional carbomer gel.
Thus, it could augment the therapeutic benefits of encapsulated bioactive in the treatment
of several skin disorders like psoriasis.
CBIR-CNN: Content-Based Image Retrieval on Celebrity Data Using Deep Convolution Neural Network
Authors: Singh Pushpendra , Hrisheekesha P.N. , Singh Vinai Kumar.
Published: January 2020

Background:

Finding a region of interest in an image and content-based image analysis
has been a challenging task for the last two decades. With the advancement in image processing,
computer vision and a huge amount of image data generation, the Content-Based Image Retrieval
System (CBIR) has attracted several researchers as a common technique to manage this huge
amount of data. It is an approach of searching user interest based on visual information present in
an image. The requirement of high computation power and huge memory limits the deployment of
the CBIR technique in real-time scenarios.

Objective:

In this paper, an advanced deep learning model is applied to the CBIR on facial image
data. We designed a deep convolution neural network architecture where activation of the convolution
layer is used for feature representation and included max-pooling as a feature reduction technique.
Furthermore, our model uses partial feature mapping as image descriptor to incorporate the
property that facial image contains repeated information.

Methods:

Existing CBIR approaches primarily consider colour, texture and low-level features for
mapping and localizing image segments. While deep learning has shown high performance in numerous
fields of research, its application in CBIR is still very limited. Human face contains significant
information to be used in a content driven task and applicable to various applications of computer
vision and multimedia systems. In this research work, a deep learning-based model has been
discussed for Content-Based Image Retrieval (CBIR). In CBIR, there are two important things 1)
classification and 2) retrieval of image based on similarity. For the classification purpose, a fourconvolution
layer model has been proposed. For the calculation of the similarity, Euclidian distance
measure has been used between the images.

Results:

The proposed model is completely unsupervised, and it is fast and accurate in comparison
to other deep learning models applied for CBIR over the facial dataset. The proposed method provided
satisfactory results from the experiment, and it outperforms other CNN-based models such as VGG16,
Inception V3, ResNet50, and MobileNet. Moreover, the performance of the proposed model has been
compared with pre-trained models in terms of accuracy, storage space and inference time.

Conclusion:

: The experimental analysis over the dataset has shown promising results with more
than 90% classification accuracy.
Facial Feature Extraction for Emotion Classification Using Fuzzy C-Mean Clustering
Authors: Sharma Garima , Singh Latika , Gautam Sumanlata
Published: January 2020

Background:

Automatic human emotion recognition system is an active area of research
due to its wide applications in the field of Human Computer Interaction(HCI) systems, driver fatigue
monitoring systems, surveillance systems, human assistance systems, smile detectors etc.

Objective:

The study presents a fuzzy based approach to extract facial features from input image and
builds different classification models to classify the image into two emotion classes i.e. happy and
neutral. The system has potential implications in the field of smile detection systems, customer experience
analysis and patient monitoring systems.

Methods:

The proposed system determines the dimensional attributes (l-attribute and w-attribute) of
mouth region extracted from the facial image using viola-jones algortithm. The feature set is
generated by using a total of 136 images from JAFFE, NimStim and MUG dataset. The
differentiating power of the attribures is then evaluated using five different classification models.

Results:

The accuracy, precision and recall is determined for each classification model. The results
show good accuracy of 70% for the grayscale JAFFE and NimStim databases and 95% for the
coloured MUG database.

Conclusion:

The mouth features calculated in the study are based on the geometric coordinates
which eliminates the possibility of false distance measurements due to presence of noise or shadows.
Effective Gamification of the Stop-Signal Task: Two Controlled Laboratory Experiments (Preprint)
Authors: Friehs Maximilian Achim , Dechant Martin , Vedress Sarah , Frings Christian , Mandryk Regan Lee
Published: January 2020

BACKGROUND

A lack of ability to inhibit prepotent responses, or more generally a lack of impulse control, is associated with several disorders such as attention-deficit/hyperactivity disorder and schizophrenia as well as general damage to the prefrontal cortex. A stop-signal task (SST) is a reliable and established measure of response inhibition. However, using the SST as an objective assessment in diagnostic or research-focused settings places significant stress on participants as the task itself requires concentration and cognitive effort and is not particularly engaging. This can lead to decreased motivation to follow task instructions and poor data quality, which can affect assessment efficacy and might increase drop-out rates. Gamification—the application of game-based elements in nongame settings—has shown to improve engaged attention to a cognitive task, thus increasing participant motivation and data quality.

OBJECTIVE

This study aims to design a gamified SST that improves participants’ engagement and validate this gamified SST against a standard SST.

METHODS

We described the design of our gamified SST and reported on 2 separate studies that aim to validate the gamified SST relative to a standard SST. In study 1, a within-subject design was used to compare the performance of the SST and a stop-signal game (SSG). In study 2, we added eye tracking to the procedure to determine if overt attention was affected and aimed to replicate the findings from study 1 in a between-subjects design. Furthermore, in both studies, flow and motivational experiences were measured.

RESULTS

In contrast, the behavioral performance was comparable between the tasks (P<.87; BF01=2.87), and the experience of flow and intrinsic motivation were rated higher in the SSG group, although this difference was not significant.

CONCLUSIONS

Overall, our findings provide evidence that the gamification of SST is possible and that the SSG is enjoyed more. Thus, when participant engagement is critical, we recommend using the SSG instead of the SST.
Impacts of a New Supermarket on Dietary Behavior and the Local Foodscape in Kisumu, Kenya: Protocol for a Mixed Methods, Natural Experimental Study (Preprint)
Authors: Foley Louise , Francis Oliver , Musuva Rosemary , Mogo Ebele RI , Turner-Moss Eleanor , Wadende Pamela , Were Vincent , Obonyo Charles
Published: January 2020

BACKGROUND

Access to healthy food is considered a key determinant of dietary behavior, and there is mixed evidence that living near a supermarket is associated with a healthier diet. In Africa, supermarkets may contribute to the nutrition transition by offering both healthy and unhealthy foods and by replacing traditional food sellers. In Kisumu, Kenya, a planned hypermarket (ie, a supermarket combined with a department store) will form the basis for a natural experimental evaluation.

OBJECTIVE

The aim of this study is to explore the impacts of a new hypermarket on food shopping practices, dietary behaviors, physical activity patterns, and body composition among local residents and to identify concurrent changes in the local foodscape. We also aim to explore how impacts and associations vary by socioeconomic status.

METHODS

We employ a mixed methods, longitudinal study design. Two study areas were defined: the hypermarket intervention area (ie, Kisumu) and a comparison area with no hypermarket (ie, Homabay). The study is comprised of 4 pieces of primary data collection: a quantitative household survey with local residents, a qualitative study consisting of focus group discussions with local residents and semistructured interviews with government and private sector stakeholders, an audit of the local foodscape using on-the-ground data collection, and an intercept survey of shoppers in the hypermarket. Assessments will be undertaken at baseline and approximately 1 year after the hypermarket opens.

RESULTS

Baseline assessments were conducted from March 2019 to June 2019. From a total sampling frame of 400 households, we recruited 376 of these households, giving an overall response rate of 94.0%. The household survey was completed by 516 individuals within these households. Across the two study areas, 8 focus groups and 44 stakeholder interviews were conducted, and 1920 food outlets were geocoded.

CONCLUSIONS

This study aims to further the understanding of the relationship between food retail and dietary behaviors in Kenya. Baseline assessments for the study have been completed.

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/17814
A Dietary Mobile App for Patients Undergoing Hemodialysis: Prospective Pilot Study to Improve Dietary Intakes (Preprint)
Authors: Fakih El Khoury Cosette , Crutzen Rik , Schols Jos M G A , Halfens Ruud J G , Karavetian Mirey
Published: January 2020

BACKGROUND

Mobile technology has an impact on the health care sector, also within dietetics. Mobile health (mHealth) apps may be used for dietary assessment and self-monitoring, allowing for real-time reporting of food intakes. Changing eating behaviors is quite challenging, and patients undergoing hemodialysis, particularly, struggle to meet the target intakes set by dietary guidelines. Usage of mobile apps that are developed in a person-centered approach and in line with recommendations may support both patients and health care practitioners.

OBJECTIVE

This study is a pilot that aims at estimating the potential efficacy of a dietary intervention using a theory-based, person-centered smartphone app. Results will be used to improve both the app and a planned large-scale trial intended to assess app efficacy thoroughly.

METHODS

A prospective pilot study was performed at the hemodialysis unit of Al Qassimi Hospital (The Emirate of Sharjah). All patients that fulfilled the study inclusion criteria were considered eligible to be enrolled in the pilot study. Upon successful installation of the app, users met with a dietitian once a week. Outcomes were measured at baseline (T0) and 2 weeks post app usage (T1). This pilot is reported as per guidelines for nonrandomized pilot and feasibility studies and in line with the CONSORT 2010 checklist for reporting pilot or feasibility trials.

RESULTS

A total of 23 patients completed the pilot intervention. Mean energy intakes increased from 24.4 kcal/kg/day (SD 8.0) to 29.1 kcal/kg/day (SD 7.8) with a medium effect size (d=0.6, 95% CI 0.0-1.2). Mean protein intakes increased from 0.9 g/kg/day (SD 0.3) to 1.3 g/kg/day (SD 0.5) with a large effect size (d=1.0, 95% CI 0.4-1.6); mean intake of high biological value (%HBV) proteins also increased from 58.6% (SD 10.1) to 70.1% (SD 10.7) with a large effect size (d=1.1, 95% CI 0.5-1.7). Dietary intakes of minerals did not change, apart from sodium which decreased from a mean intake of 2218.8 mg/day (SD 631.6) to 1895.3 mg/day (SD 581.0) with a medium effect size (d=0.5, 95% CI 0.1-1.1). Mean serum phosphorus, potassium, and albumin levels did not change relevantly. Mean serum iron increased from 7.9 mg/dL (SD 2.8) to 11.5 mg/dL (SD 7.9) postintervention with a medium effect size (d=0.6, 95% CI 0.0-1.2).

CONCLUSIONS

This pilot study showed that the KELA.AE app has the potential to improve dietary intakes. Processes related to procedure, resources, tools, and app improvement for a future trial were assessed. A more extended intervention using a randomized controlled trial is required to estimate parameters concerning app efficacy accurately.
Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample (Preprint)
Authors: Huang Dina , Huang Yuru , Khanna Sahil , Dwivedi Pallavi , Slopen Natalie , Green Kerry M , He Xin , Puett Robin , Nguyen Quynh
Published: January 2020

BACKGROUND

Social media platforms such as Twitter can serve as a potential data source for public health research to characterize the social neighborhood environment. Few studies have linked Twitter-derived characteristics to individual-level health outcomes.

OBJECTIVE

This study aims to assess the association between Twitter-derived social neighborhood characteristics, including happiness, food, and physical activity mentions, with individual cardiometabolic outcomes using a nationally representative sample.

METHODS

We collected a random 1% of the geotagged tweets from April 2015 to March 2016 using Twitter’s Streaming Application Interface (API). Twitter-derived zip code characteristics on happiness, food, and physical activity were merged to individual outcomes from restricted-use National Health and Nutrition Examination Survey (NHANES) with residential zip codes. Separate regression analyses were performed for each of the neighborhood characteristics using NHANES 2011-2016 and 2007-2016.

RESULTS

Individuals living in the zip codes with the two highest tertiles of happy tweets reported BMI of 0.65 (95% CI –1.10 to –0.20) and 0.85 kg/m2 (95% CI –1.48 to –0.21) lower than those living in zip codes with the lowest frequency of happy tweets. Happy tweets were also associated with a 6%-8% lower prevalence of hypertension. A higher prevalence of healthy food tweets was linked with an 11% (95% CI 2% to 21%) lower prevalence of obesity. Those living in areas with the highest and medium tertiles of physical activity tweets were associated with a lower prevalence of hypertension by 10% (95% CI 4% to 15%) and 8% (95% CI 2% to 14%), respectively.

CONCLUSIONS

Twitter-derived social neighborhood characteristics were associated with individual-level obesity and hypertension in a nationally representative sample of US adults. Twitter data could be used for capturing neighborhood sociocultural influences on chronic conditions and may be used as a platform for chronic outcomes prevention.
Sistem Monitor Tekanan Darah Arteri pada Lengan dengan Metode NMR (dalam Bentuk Model) (Halaman 9 s.d. 12)
Authors: Murdaka Eka Jati Bambang , - Kusminarto , Bambang Setio Utomo Agung , Irawan Bambang
Published: January 2020

Telah dilakukan penelitian yang bertujuan untuk membuat sebuah model alat pemantau tekanan darah arteri pada lengan manusia, dengan metode NMR. Penelitian dilakukan dengan menempatkan pipa plastik (berdiameter 0,5 cm) datar memanjang melewati rongga antara kedua kutub elektromagnet yang memberikan kuat medan magnet (150+-5)x10 gauss, dan juga berada di sepanjang koil RF. Disamping koil RF itu terdapat pula koil penerima. Saat itu, air mengalir di dalam pipa pada kelajuan (4+-1)10-1 m/s yang bersesuaian dengan tekanan 80 N/m2. Penelitian ini dilandasi oleh kenyataan bahwa 80% darah berupa air, dan molekul air mengandung atom hidrogen yang di dalam atomnya terdapat proton. Model ini dilandasi oleh kenyataan bahwa kelajuan alir darah di pembuluh arteri pada lengan (5+-1)x10-1 m/s, dan diameter pembuluh darahnya juga 0,4 cm. Penelitian ini berhasil memberikan informasi, bahwa aliran air di dalam pipa plastik pada kelajuan, tekanan, dan kuat medan magnet di atas mampu memberikan frekuensi resonansi NMR sebesar 5,5MHz, dan koil penerima memberikan GGL induksi di CRO sebesar 18 mV.
Evaluasi Pengaruh Kecepatan Rotasi Rotor terhadap Efektifitas Rotary Air Preheater Menggunakan Metode ε-NTU (Halaman 5 s.d. 8)
Authors: Sakarum Dewo , Hady Ariwibowo Teguh
Published: January 2020

Air Preheater (APH) merupakan komponen pendukung dalam PLTU yang berfungsi sebagai pemanasan awal (preheater) pada saat pembakaran di dalam ruang bakar. Salah satu parameter yang mempengaruhi besarnya efektivitas pada rotary air preheater adalah kecepatan rotasi rotor. Untuk mengetahui pengaruh besarnya kecepatan rotasi rotor terhadap performansi rotary air preheater digunakan metode ε-NTU. Variasi dilakukan pada kecepatan rotasi 6 RPM, 9 RPM, 12 RPM, 15 RPM, 18 RPM dan pada C* 0,64 ; 0,78 ; 0,84. Dari lima variasi yang dilakukan menunjukkan bahwa kecepatan rotasi rotor mempengaruhi besarnya efektifitas. Kecepatan tersebut juga mempengaruhi besarnya NTU sehingga efektifitasnya ikut berubah. Efektifitas tertinggi yaitu pada kecepatan 18 RPM  dan C* 0,64 sebesar 0,8750. Pada kecepatan rotasi yang sama efektifitas pada C* 0,64 mempunyai nilai yang lebih besar dari pada C* 0,78 dan 0,84.
Fabrikasi Lapisan Antirefleksi dengan Bahan Methyl Methacrylate (MMA) Menggunakan Metode Spin Coating (Halaman 30 s.d. 33)
Authors: - Sudarsono , Yudoyono Gatut , Indarto Bachtera , Hadi Pramono Yono , - Faridawati
Published: January 2020

Telah dilakukan fabrikasi lapisan antirefleksi dengan bahan  methyl methacrylate dengan metode spin coating. Lapisan  methyl methacrylate dilapiskan pada substrat kaca kemudian diputar dengan kecepatan 1000 rpm dengan metode spin coating. Untuk membuat lapisan anti refleksi dibutuhkan indeks bias substrat lebih besar dari pada lapisan film, sehingga salah satu bahan yang dipilih pada penelitian ini adalah methyl methacrylate dengan indeks bias 1,49. Dari hasil fabrikasi didapatkan nilai ketebalan lapisan adalah 10,816 µm. karakterisasi hasil fabrikasi dilakukan menggunakan spektrometer UV Vis dengan panjang gelombang (390- 450) nm dan menghasilkan  transmisi lebih dari 87,842% dan absorbsi kurang dari 0,056 %. Dari  hasil transmisi dan absorbsi bahan tersebut maka hasil refleksi  relatif kecil sehingga dapat digunakan sebagai lapisan antirefleksi.
Pemodelan Anomali Gaya Berat Akibat Curah Hujan dan Dinamika Air Tanah di Daerah Semarang (Halaman 6 s.d. 9)
Authors: Pratyas Katrinavia Yatti , Setyawan Agus , - Supriyadi
Published: January 2020

Pemodelan ke depan (forward modelling) anomali gaya berat  telah dilakukan dengan menggunakan software Grav2DC untuk mengetahui respon anomali gaya berat akibat curah hujan dan dinamika air tanah di kota Semarang. Pemodelan dilakukan dengan pendekatan model perlapisan tanah dengan parameter ketebalan dan densitas berdasarkan sayatan peta geologi. Anomali gaya berat didapatkan dari selisih g pada periode pertama dan periode kedua. Anomali gaya berat akibat curah hujan merupakan selisih besarnya presipitasi pada periode pertama dan kedua. Berdasarkan hasil pemodelan kedepan yang dibuat dapat disimpulkan bahwa akibat dinamika air tanah dapat menghasilkan perubahan gayaberat (Δg) yang bernilai positif (+) jika terdapat kenaikan air tanah dan respon anomali gaya berat bernilai negatif (-) jika terjadi penurunan air tanah. Hasil anomali gaya berat akibat perbedaan curah hujan tiap tahun menyebabkan penurunan air tanah (Δh) sebesar 0,93 sampai 1,4 mm/tahun dengan anomali gaya berat sebesar –1,17 sampai  –1,76  mGal.
Adsorpsi Logam Tembaga (Cu), Besi (Fe), dan Nikel (Ni) dalam Limbah Cair Buatan Menggunakan Nanopartikel Cobalt Ferrite (CoFe2O4) (Halaman 23 s.d. 27)
Authors: Amor Nurdila Femila , Sumawati Asri Nining , Suharyadi Edi
Published: January 2020

Nanopartikel CoFe2O4 telah berhasil disintesis menggunakan metode kopresipitasi dan digunakan sebagai adsorben untuk menurunkan kadar logam Cu, Fe, dan Ni dalam limbah cair buatan. Pengaruh suhu, lama pengadukan, readsorpsi dan pelapisan adsorben dengan Polyethylen glycol terhadap penurunan kadar logam telah dilakukan dalam penelitian ini. Prosentase penurunan kadar logam Cu, Fe, Ni diketahui meningkat dengan peningkatan suhu dan lama pengadukan namun tidak signifikan. Penurunan kadar logam maksimum untuk logam Cu dan Ni  terjadi pada suhu 60oC yaitu 99,70% dan 99,94%. Pengaruh lama pengadukan terhadap adsorpsi maksimum logam Cu pada 5 jam, sedangkan logam Ni terjadi pada 3 jam. Adsorpsi logam Fe tidak terpengaruh signifikan oleh perubahan suhu dan lama pengadukan. Peningkatan adsorpsi logam juga tampak saat dilakukan proses pengulangan (readsorpsi) namun ketika adsorben dilapisi dengan, Polyethylen glycol (PEG-4000) adsorpsi logam menurun. Hasil penilitian ini mengindikasikan bahwa CoFe2O4 dapat digunakan sebagai adsorben untuk menurunkan kadar logam Cu, Fe, dan Ni dalam limbah cair.
Pengukuran Tetapan Suseptibilitas pada Polyethylene Glycol (PEG-4000) Coated- Nanopartikel Magnetik Cobalt Ferrite (CoFe2O4) (Halaman 50 s.d. 54)
Authors: Eka Siswanto Rizki , Suharyadi Edi
Published: January 2020

Telah dikaji pengukuran tetapan suseptibilitas nanopartikel magnetik cobalt ferrite (CoFe2O4) yang telah dilapisi polietilen glikol (PEG-4000) dengan konsentrasi berturut-turut 25%, 33%, 50%, 66%, 75%  menggunakan metode Gouy. Hasil penelitian menunjukkan bahwa CoFe2O4 memiliki suseptibilitas yang baik. Nilai tetapan suseptibilitas magnetik CoFe2O4 dipengaruhi konsentrasi pelapisan PEG-4000. Semakin besar konsentrasi PEG-4000 yang diberikan, nilai tetapan suseptibilitas magnetik CoFe2O4 semakin kecil. Hasil pengukuran tetapan susebtibilitas berdasarkan konsentrasi pelapisan PEG-4000 berturut-turut (3,9 ± 0,2) 10-7 m3 /Kg; (2,4 ± 0,3) 10-7 m3 /Kg; (2,1 ± 0,2) 10-7 m3 /Kg; (0,90 ± 0,03) 10-7 m3 /Kg; (0,40 ± 0,03) 10-7 m3 /Kg.
Implemantasi Pembelajaran Kurikulum 2013 Berbasis Multimedia Interaktif pada Pokok Bahasan Listrik Magnet terhadap Aktivitas, Persepsi, dan Hasil Belajar Peserta Didik di SMA Tut Wuri Handayani Makassar (Halaman 62 s.d. 65)
Authors: - Fatima , Yusuf Irfan , Bancong Hartono
Published: January 2020

Telah dilakukan penelitian untuk mengetahui karakteristik multimedia interaktif berdasarkan Kurikulum 2013,  akivitas, persepsi, dan hasil belajar Fisika peserta didik pada pokok bahasan listrik dan magnet. Subjek penelitian adalah peserta didik kelas XII IPA SMA Tut Wuri Handayani Makassar yang berjumlah 18 orang. Penelitian ini menggunakan pre ekperimental design. Hasil penelitian menunjukkan bahwa multimedia interaktif materi listrik magnet diperoleh hasil valid dan reliabel, perangkat pembelajaran Kurikulum 2013 berupa Rencana Pelaksanaan Pembelajaran (RPP) dan Lembar Kerja Peserta Didik (LKPD) yang dibuat diperoleh hasil yang valid dan reliabel. Akivitas peserta didik di atas 80 %, hal ini menunjukkan bahwa pembelajaran yang dilakukan mampu mengaktifkan peserta didik. Persepsi peserta didik setelah dilakukan pembelajaran berbasis multimedia interaktif pada pokok bahasan listrik magnet di atas 80 %, hal ini menunjukkan bahwa peserta didik mengikuti dengan dengan baik pembelajaran yang dilakukan. Hasil belajar peserta didik setelah dilakukan pembelajaran berbasis multimedia interaktif pada pokok bahasan listrik magnet berada pada katagori baik.
Pengukuran Magnetoresistance Berbasis Lapisan Tipis Giant-Magnetoresistance (GMR) Pada Polyethylen Glicol (PEG)-Coated-Nanopartikel Magnetit (Fe3O4) (Halaman 5 s.d. 8)
Authors: Musa Rampengan Alfrie , - Ma’arif , Nuzully Seveny , Kato Takeshi , Iwata Satoshi , Suharyadi Edi
Published: January 2020

Telah dilakukan pengujian Magnetoresitance berbasis lapisan tipis Giant-Magnetoresistance (GMR) pada Plyethylen Glicol (PEG)-coated-nanopartikel magnetit (Fe3O4). Penambahan lapisan nanopartikel magnetit Fe3O4 dan lapisan nanopartikel magnetit Fe3O4 yang dimodifikasi dengan PEG menyebabkan pergeseran nilai resistance pada lapisan tipis GMR dan mempengaruhi pergerakan domain-wall free layer FeCoB seiring dengan bertambahnya medan eksternal. Hasil ini ditunjukkan dengan pergeseran nilai resistansi sebesar ± 55,5 %, sebelum dan setelah dilapisi oleh nanopartikel magnetit Fe3O4. Resistansi ± 45,6 %, sebelum dan setelah dilapisi oleh nanopartikel magnetit Fe3O4 yang dimodifikasi dengan PEG.
Tentang Medan Elektromagnet Relativistik (Halaman 25 s.d. 28)
Authors: Yasrina Atsnaita , Farchani Rosyid M.
Published: January 2020

Penelitian dinamika medan magnet di bintang Neutron merupakan tema kajian bintang Neutron yang banyak dikerjakan para astronom baik pada ranah teoritik maupun pengamatan. Khususnya pada penyusutan medan magnet yang ketara. Untuk menjelaskan medan magnet secara teoritik dibutuhkan persamaan dinamika medan magnet. Bintang Neutron merupakan objek relativistik dan berotasi yang merupakan alasan mendasar untuk menganalisa dinamika medan magnet secara relativistik. Dalam penelitian ini dirumuskan persamaan medan elektromagnetik dalam keadaan tidak stasioner yang mengambarkan dinamika medan magnet di sekitar bintang Neutron yang berotasi lambat dengan relativitas umum. Proses yang dilakukan adalah penguraian persamaan Maxwell dengan relativitas umum yang didasari oleh metrik untuk bintang berotasi lambat.
Komputasi Solusi Transien Rangkaian Listrik dengan GGL Gayut Waktu dengan Sistem Aljabar Komputer REDUCE (Halaman 6 s.d. 8)
Authors: Hermanto Arief
Published: January 2020

Dalam kebanyakan buku ajar solusi keadaan transien dari rangkaian listrik dengan ggl gayut waktu sembarang tidak pernah dibahas. Makalah ini berusaha mengisi kekosongan itu dengan menentukan solusi transien itu dengan bantuan sistem aljabar komputer atau bahasa pemrograman simbolik REDUCE. Program yang berhasil disusun ternyata sangat pendek dan menghasilkan keluaran (simbolik) yang sangat mudah dibaca.