Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of internet Addiction and predictor factors on medical students: a cross-sectional study in western Iran

Background: In recent years, Internet and social media technology use have emerged as an integral tool of human society, and the evolution of technological integration, cyberspace, and web-technology has become a common practice in educational institutions. Internet usage among students has played an indispensable role in learning behavior; however, the excessive usage of the internet and social media leads to internet addiction. This original study has performed a focalized scrutiny on revealing relationships between internet addiction and associated factors among the students of medicine, dentistry, and pharmaceutical departments.Methods: This descriptive and analytical study recruited medical students from the Self-governing Education Incubator of Kermanshah. This survey distributed 753 questionnaires among the respondents’ three departments, and this statistical data reported on 420 valid responses of the respondents. They represent first and second-semester medical students of the academic year 2017-2018. The study selected medical students by applying Cochran's Sample Size Formula through Stratified Random Sampling and cross-sectional research design. The survey has utilized a demographic questionnaire of Young's Internet Addiction Test (IAT) for the data collection. The study analyzed received data by using SPSS version 24 and performed the descriptive statistics, and analytical statistics (t-test and ANOVA). Results: The results of the present study established that the majority of subjects were female students (53.3%), and the average age was 23.84±2.14, including the students of all departments. Besides, findings specified that the overall mean and standard deviation scores were 3.34 and ±0.88. Internet addiction revealed mean and the standard deviation score measured for all students 3.29±0.73, 3.17±0.92, and 3.57±0.64 correspondingly. The survey results illustrated that medical students’ internet addiction substantially correlated with demographic variables, such as age, marital status, the field of study, academic term, significant time of consuming the internet, the key reason of utilizing the internet, and daily usage of the internet (p<0.05). Conclusions: The results of the study specified that 25% of medical students showed internet addiction. The students are increasingly using the internet, and it has penetrated among students. The design and implementation of adequate educational programs and the application of internet-based efficiency interventions are essential for both knowledge acquisition and medical students’ healthy behavior.
DISPLACEMENT PREDICTION OF THE ZHUJIADIAN LANDSLIDE WITH OUTLIERS

Landslide displacement prediction is one of important parts of landslide disaster prevention and mitigation. To improve the accuracy and precision of landslide displacement prediction is emphasis and difficulty. Outliers from monitoring samples are took into account in this research. By ignoring, reserving or correcting outliers to study on which is the best of three ways of landslide displacement prediction with outliers. The Zhujiadian Landslide in Three Gorges Reservoir Region is chosen as the case study on displacement prediction. Based on ARIMA(p, d, q) model, predictions are carried out using the accumulated displacement and the displacement rate time series, respectively. The research results show that: (1) The landslide prediction result with correcting outliers is between ignoring and reserving ones. (2)For ARIMA model, it is more suitable for using the displacement rate time series. (3)The prediction results of "step-like" displacement rates based on ARIMA(1, 0, 1) model for the displacement rate time series with correcting outliers are 79.0mm and 70.2mm in Jun. 2016 and 2017, and accumulated displacement is 1647.7mm until Aug. 2017.
Understanding Hydrogen Sorption in a Metal–Organic Framework with Open-Metal Sites and Amide Functional Groups

Grand canonical Monte Carlo (GCMC) studies of the mechanism of hydrogen sorption in an rht-MOF known as Cu-TPBTM are presented. The MOF is a decorated/substituted isostructural analogue to the unembellished rht-MOF, PCN-61, that was studied previously [Forrest, K. A.J. Phys. Chem. C 2012, 116, 15538−15549. ]. The simulations were performed using three different hydrogen potentials of increasing complexity. Simulated hydrogen sorption isotherms and calculated isosteric heat of adsorption, Qst, values were in excellent agreement with the reported experimental data for only a polarizable model in one of four experimentally observed crystal structure configurations. The study demonstrates the ability of modeling to distinguish the differential sorption of distinct strucures; one configuration is found to be dominant due to favorable interactions with substrates. In addition, it was discovered that the presence of polar amide groups had a significant effect on the electrostatics of the Cu2+ ions and directs the.
Evolving a Value Chain to an Open Innovation Ecosystem: The Cognitive Influence of Stakeholders in Customizing Medical Implants

While open innovation ecosystems allow firms to harness new external sources of value creation, these external ties can also constrain its ability to adapt its innovation strategy to pursue new opportunities. Here we look at how firms conceive new open innovation models of value creation, and how those efforts are affected by the need to both learn from and educate its external partners. We do so in the context of a potential 3D printing-enabled shift from mass production to mass customization of orthopedic medical implants. Using interviews, observations and archival data from three continents, we document how an incumbent firm approached the economic, regulatory and cognitive constraints on both its existing and future value creation strategy, so as to transform its linear value chain into a more interactive and collaborative ecosystem. We show how the firm used both open innovation and open business models to develop a new value creation logic, and how a delay in freezing this logic allowed it to identify a second, more radical business model shift that it is now pursuing. These results demonstrate how firms and managers can address the cognitive shift needed to develop trans-formative open innovation strategies that require a complex restructuring of a firm’s internal and external stakeholder relationships. In addition to developing a process framework for such changes, we also extend the limited prior research on cognitive strategy in open innovation.
Prevalence of pneumonia and its associated factors among under five children in East Africa. Meta-analysis and systemic review

Background: Pneumonia is defined as an acute inflammation of the Lungs’ parenchymal structure. It is a major public health problem and the leading cause of morbidity and mortality in under-five children especially in developing countries. In 2015, it was estimated that about 102 million cases of pneumonia occurred in under-five children, of which 0.7 million were end up with death. Different primary studies in Eastern Africa showed the burden of pneumonia. However, inconsistency among those studies was seen and no review has been conducted to report the amalgamated magnitude and associated factors. Therefore, this review aimed to estimate the national prevalence and associated factors of neonatal sepsis in Eastern Africa.Objective: The aim of this systematic review and meta-analysis was to assess the magnitude of pneumonia and its associated factors among under-five children in East Africa.Methods: Using PRISMA guideline, we systematically reviewed and meta-analyzed studies that examined the prevalence and associated factors of pneumonia from PubMed, Cochrane library, and Google Scholar. Heterogeneity across the studies was evaluated using the Q and the I2 test. A weighted inverse variance random-effects model was applied to estimate the national prevalence and the effect size of associated factors. The subgroup analysis was conducted by country, study design, and year of publication. A funnel plot and Egger’s regression test were used to see publication bias. Sensitivity analysis was also done to identify the impact of studies.Result: A total of 34 studies with 87, 984 participants were used for analysis. The pooled prevalence of hypothermia in East Africa was 34% (95%CI; 23.80–44.21). Use of wood as fuel source (AOR= 1.53; 95%CI:1.30-1.77; I2= 0.0% ;P=0.465), cook food in living room (AOR= 1.47;95%CI:1.16-1.79; I2= 0.0% ;P=0.58), caring of a child on mother during cooking (AOR= 3.26; 95%CI:1.80-4.72; I2= 22.5% ;P=0.26), Being unvaccinated (AOR= 2.41; 95%CI:2.00-2.81; I2= 51.4% ;P=0.055), Child history of ARTI(AOR= 2.62; 95%CI:1.68-3.56; I2= 11.7% ;P=0.337) were identified factors of pneumonia.Conclusions: The prevalence of pneumonia in Eastern Africa remains high. This review will help policy-makers and program officers to design pneumonia preventive interventions.
Preparation and Characterization of Solid Dispersion of Flufenamic Acid by Solvent Evaporation Method

The low aqueous solubility of Flufenamic acid (FFA), a Biopharmaceutics Classification System (BCS) II class drug, is a major challenge to overcome its low bioavailability. Poor solubility and low dissolution rate of the poorly aqueous solubility drugs in the aqueous gastrointestinal fluids (6.8 pH) often cause insufficient bioavailability. As for BCS class II drugs, dissolution rate having limiting step, increasing the solubility of drug leads to increases the bioavailability. Therefore, it is important to improve the solubility of flufenamic acid. Several methods such as salt formation, particle size reduction and solid dispersion are available to enhance the solubility of many drugs. In this work, solid dispersion of flufenamic acid with hydrophilic polymer Polyvinylpyrrolidone K 30 (PVP K 30) are produced by solvent evaporation technique. Raw FFA, PVP K-30 and solid dispersion containing FFA and PVP K-30 are characterized by SEM, FTIR. It was observed that morphology of raw FFA was rock like which changed when solid dispersion is formed with PVP K30. The FTIR spectroscopy showed that hydrogen bonding between FFA and PVP occurs in solid dispersion.
Automatic glacier outlines extraction from Sentinel-1 and Sentinel-2 time series

<p>Glaciers represent an important part of the hydrologic cycle in the Alps and they are very sensitive to climate change. Satellite remote sensing is an efficient tool for glacier monitoring because it provides a synoptic view over large areas. In literature, well-established methods for glacier delineation based on the Red and Short Wave Infrared (SWIR) ratio have been presented. These methods depend on a manual selection for each glacier of the &#8220;best scene&#8221;, i.e. absence of cloud coverage and minimum snow cover. A further manual refinement step is needed to handle possible errors, mainly due to cloud cover or shadows, and to include debris covered ice. </p><p>A manual approach for glacier outline extraction, especially if applied over large areas and beside the respective extraordinary amount of work, may be inadequate for at least two reasons:</p><p>1) The increased amount of available satellite data provided by the recently launched Sentinel-2 mission, which ensure at least one acquisition every 5 days on a given area;</p><p>2) The need for a more frequent update of the glacier outlines i.e. few years, due to the faster changes affecting glaciers during the last years. </p><p>In this work, we present an automatic method for glacier mapping, including bare ice and debris covered ice through the synergetic use of Sentinel-1 and Sentinel-2. The information of the Sentinel-2 time series is first classified with a Support Vector Machine (SVM) to detect cloud and snow. The snow and cloud masks are then used to select the non-cloudy pixels with the lowest snow coverage in the surrounding area. This is done by applying a moving window on the entire multi-temporal classified stack. The selected pixels for each band compose a multi-temporal cloud free mosaic, which represents the glaciers with the minimum snow cover for the current ablation season i.e., the &#8220;best scene&#8221;. If we compose the mosaic with classified pixels instead of the reflectance, we obtain the glacier &#8211; non glacier map that we use for outlines extraction. On the other hand, the Sentinel-1 coherence is used to detect the debris-covered ice over the areas classified as non-glacier from Sentinel-2. In detail, the Sentinel-1 time series is exploited to generate a multi-temporal coherence mosaic, which is representative of the loss of coherence due to the movement of the debris only. By properly thresholding this mosaic and considering the topographic information, the outlines of debris covered glaciers can be extracted. </p><p>The results obtained with the proposed method are compared with the recent official glacier inventory of South Tyrol (Italy) and Tyrol (Austria), which was derived from the manual interpretation of aerial orthophotos and lidar data by glacier experts. </p>
Genome-Wide Identification and Functional Analysis of Chitinase Gene Family in Grape

Background: Chitinases, the important resistance-related proteins, are crucial hydrolytic enzymes, which attack fungal pathogens by catalyzing the fungal cell wall degradation. As a large gene family, the VvChis have not been systematically analyzed and effectively investigated in grape. Results: In this study, we identified 42 VvChis in grape by searching the conserved domains, and divided them into A, B, C, D and E groups according to pylogenetic relationships, gene structure and conserved domains analysis. Quantitative real-time PCR (qRT-PCR) and publicly microarray data analysis revealed distinct temporal and spatial expression patterns of VvChis in different tissues at various growth stages. The transcriptional level of most genes was high in the root of ‘Koyho’ and ‘Summer Black’. Combining cis-elements in the promoter, GO and KEGG analysis, and prediction of interaction proteins, we revealed the function of Chitinase. After the pathogen infecting the leaves and berries of grape, the expression levels of VvChis in A, B and E groups showed a significant upward trend, of which VvChi5, VvChi25, VvChi11 (leaf) and VvChi16 (fruit) were the most up-regulated. The interaction between Chi-17 and Metallothionein (MTL) was confirmed by yeast two-hybrid system and bimolecular fluorescence complementation (BiFC). In addition, VvChis in GH18 family were up-regulated under MeJA and ETH treatment, in particular to 500 mg·L -1 ETH、50 μmol·L -1 MeJA; The induction of VvChis by low temperature was more significant than that of high temperature; The expression of VvChis was positively correlated with the concentration of NaCl treatment. Conclusion: This study clarified the member composition and expression pattern of VvChi family in grape, initially explored the disease resistance function of VvChi, and analyzed the response of VvChis to hormones (MeJA and ETH) and environmental stress (temperature and NaCl) signals was analyzed, which laid a foundation for constructing the functional regulation network of VvChi in grapes.
Deep Convolutional Neural Networks for Classification of Interstitial Lung Disease

Automated lung tissue characterization of Interstitial Lung Disease is one of the most important aspects of the Computer Aided Disease diagnosis system. The problem remains challenging, even though there has been much research in this area. While deep learning has produced brilliant success in image applications over the past few years, the majority of training is with sub-optimal parameters, requiring unnecessary long training time, setting up hyper parameters. In this paper, we explore the classification of lung tissue pattern affected with interstitial lung disease (ILD) in high resolution computed tomography (HRCT) scans and evaluated different CNN architectures with and without transfer learning. The effect of cyclical learning rates, the hyper-parameters tuning and data augmentation on classification performance are studied using a popular publicly available dataset called MedGift dataset.
ELECTROCHEMICAL STUDY OF CuSCN INORGANIC HOLE-TRANSPORT MATERIAL FOR SOLAR CELLS PREPARED BY ELECTRODEPOSITION FROM AQUEOUS SOLUTION

A comparative study is reported for electrodeposited copper(I) thiocyanate layers (ca. 500 nm) on two types of conductive/semiconductive substrates; i) carbon (boron-doped diamond_BDD, glass-like carbon_GC), and ii) carbon-free F-doped SnO 2 conducting glass (FTO). SEM and Raman evidence that electrodeposition from aqueous solution results in homogenous CuSCN layers with dominant thiocyanate ion bounded to copper through its S-end (Cu−SCN bonding), as in spin-coated CuSCN layers. Electrochemical impedance spectroscopy (EIS) confirms the p -type semiconductivity of layers with a flatband potential from 0.1 to 0.18 V vs. Ag/AgCl depending on the substrate type, and the acceptor concentration ( N A ) of  5 x 10 20 cm -3 in all cases. The flatband potentials determined from Mott-Schottky plots (EIS) are in good agreement with the Kelvin probe measurements. The blocking quality of CuSCN layers was tested using Ru(NH 3 ) 63+/2+ redox probe. CuSCN deposited on BDD substrate exhibits better blocking properties compared to CuSCN deposited on FTO.
Facile microwave-assisted synthesis of titanium dioxide decorated graphene nanocomposite for photodegradation of organic dyes

An efficient and facile method was adopted to prepare TiO2-graphene (TG) nanocomposites with TiO2 nanoparticles uniformly distributed on graphene. By adjusting the amount of TiO2 precursor, both high and low dense TiO2 nanoparticles on graphene were effectively attained via electrostatic attraction between graphene oxide sheets and TiO2 nanoparticles. The prepared nanocomposites were characterized by various characterization techniques. The TG nanocomposite showed an excellent activity for the photodegradation of the organic dyes such as methylene blue (MB) and rose bengal (RB) under ultra violet (UV) light irradiation. The TG nanocomposite of TG 2.5 showed better photocatalytic performance than bare TiO2 nanoparticles and other composites. The enhanced activity of the composite material is attributed to the reduction in charge recombination and interaction of organic dyes with graphene. The decrease in charge recombination was evidenced from the photoluminescence (PL) spectra. The observed results sugges.
Localization of light in a disordered two-dimensional photonic lattice

Photonic crystal structures have been developed to control the light propagations for various engineering applications and fundamental researches. In this thesis, we study the properties of resonance modes of a CdS nanowire with four kinds of photonic systems such as a nanowire with a photonic crystal substrate, a nanowire with a disordered photonic lattice substrate, a nanowire with non-air hole substrate, and a bare nanowire. To study the properties of resonances modes, we compare quality factors of the resonance modes for the four cases of photonic systems. Whereas the quality factors of resonances modes in the bare nanowire is about 600, those in the nanowire with non-air hole substrate is about 900 due to reflection from the substrate. However, in case of the nanowire with a photonic crystal substrate, the quality factors of resonance modes increase up to 5000 due to lattice constant
Breastfeeding knowledge, attitudes and practice among rural women in Bangladesh: insights from Tungipara village

Data Statistical D Data Interpretation, E Manuscript F – literature search, G – Funds Background. Breastfeeding is the natural way of feeding an infant with mother’s milk by direct nipple contact with the baby’s mouth in order to provide nutritional, metabolic and physiological needs, as well as to protect the baby from morbidity and mortality. However, inadequate knowledge and negative attitudes lowers the prevalence rate of breastfeeding and exclusive breast feeding (EBF) among rural mothers. Objectives. To assess the level of knowledge, attitudes and practice of breastfeeding among rural women and to determine the factors that affect this practice. Material and methods. This study was a cross-sectional descriptive study conducted on 130 conveniently selected mothers aged 18–35 years having at least one child (aged 1 week to 6 years). Simple descriptive statistics were used to identify the general characteristics of the participants, where univariate logistic regression was used to determine the factors considering p -values less than < 0.01 and < 0.05. Results. Most of the women had a positive attitude towards breastfeeding, where 68.46% of mothers had properly given breast milk to their children up until 6 months, while 91.6% fed them colostrum; respectively, 78.5% and 73.1% of mothers washed their hands and cleaned their baby’s mouth before and after the child’s mouth contact with the breast. The mother’s age and education (OR = 0.428 [CI = 0.176–1.039] p < 0.001), (OR = 1.627 [CI = 0.870–3.046] p < 0.001), the father’s education and occupation (OR = 0.987 [CI = 0.828–1.177] p < 0.001), (OR = 0.906 [CI = 0.574–1.429] p < 0.005) and dwellings structure (OR = 2.555 [CI = 0.722–9.042] p < 0.001) are associated with the practice of breastfeeding. Conclusions. Breastfeeding and EBF should be promoted through primary care and counseling programs together with programs de signed to uplift the socio-economic status of rural women.
Symmetry and Stability of the Rutile-Based TiO2 Nanowires: Models and Comparative LCAO-Plane Wave DFT Calculations

The rod symmetry groups for monoperiodic (1D) nanostructures have been applied for construction of models for bulk-like titania nanowires (NWs) cut from a rutile-based 3D crystal along the direction of a chosen crystallographic symmetry axis (in this study we consider only Ti atom-centered axes). The most stable [001]-oriented TiO2 NWs with rhombic cross sections are found to display the energetically preferable {110} facets only, while the nanowires with quasi-square sections across the [110] axis are formed by the alternating {110} and {001} facets. For simulations on rutile-based nanowires possessing four different diameters for each NW type, we have performed comparative large-scale ab initio Density Functional Theory (DFT) calculations with total geometry optimization within the Generalized Gradient Approximation (GGA), using the two different formalisms: (i) linear combination of localized atomic functions (LCAO) and (ii) plane waves (PW). Both approaches have been used for calculations of: (a) the .
Do Relative Status of Women and Marriage Characteristics Matter for the Intimate Partner Violence?

This article analyzes intimate partner violence (IPV) in a developing country context, namely, Turkey, which faces an enormous increase in femicide cases over the last decade. Analyzing a very rich nationwide representative survey on IPV, we show that it is not only the absolute status of women but also their relative status in terms of income and education that affects different types of domestic violence, ranging from emotional abuse to physical and sexual violence. Besides, factors related to marriage setting are found to have a significant role in the effect of women’s superior status on IPV. Overall, we provide evidence to support the relative resource theory and invalidate the intra-household bargaining model in the Turkish case.