bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation of serum levels of magnesium in antenatal women in a tertiary health centre
Authors: Axita C Vani , Stephen Sherin , Nadasha T  
Published: October 2021

Magnesium is an important macrominerals required for various functions in our body and also as a cofactor for several enzymes. Magnesium deficiency in pregnancy due to decreased intake or increased demands may lead to complications like eclampsia, pre eclampsia, IUGR, gestational diabetes mellitus, low birth weight etc. Hence we aim to estimate magnesium levels in antenatal women attending a tertiary care centre in North Kerala. 1. To estimate the levels of Serum Magnesium in antenatal women. 2. Compare the level of Magnesium with Hb, random blood glucose and Blood Pressure levels. 3. Determine sociodemographic profile of antenatal cases. This observational study was conducted in department of Biochemistry, GMC, Kannur from February 2020. All antenatal cases attending OBG OPD, GMC, Kannur, age between 18-35 years were included in the study while women with comorbidities and pregnancy complications were excluded from the study. Biochemical parameters like blood sugar, hemoglobin, HBA1C, were assayed on fully automated analyser, Se. Magnesium was assayed on a semi automated analyser by calmagite kit method. Patient biodata, history, clinical parameters and other relevant details were collected in prestructured formats.Total 30 patients were selected in this study. The age of patients ranged from 20 to 36 years with mean age 27.83 + 4.53 years. The mean Magnesium level in the study participants was 1 + 0.32 mg/dl. In our study participants reported 0 still birth, and 2 (6.7%) had abortions. Majority of them 90% had oedema of lower limbs. Participants had no history of pre-existing illnesses like hypertension hypercholesterolemia, diabetes mellitus, hypothyroidism, etc. There was a week positive correlation of Magnesium with systolic and diastolic blood pressure, and by comparing the levels of Magnesium with Haemoglobin and Blood pressure, they are not significant. Determination of Magnesium deficiency in the pregnancy can help in initiating appropriate supplementation and prevention of untoward complications, associated with Magnesium deficiency. Also, such studies, have not been conducted in this part of Kerala and will help to provide more information related to the topic.
The Differences between English and Russian Language Teachers' Attitudes towards CALL
Authors: Ahmadishokouh Ali Asghar , Samadi Fatemeh 
Published: October 2021

Teachers play an important role in the implementation of Computer Assisted Language Learning(CALL) into language classes and their attitudes have proved to be significant predictors of using technology in their classes. In other words, Teachers’ attitudes are considered as a major factor that influences the use of new technologies in the educational settings. Thus, their attitudes toward computer can play an important role in the acceptance and actual use of technology in teaching in general and language teaching in particular. A review of the literature shows many examples of student voice reports, but not enough studies have conducted on teachers’ attitudes towards CALL. This study was an attempt to address the possible differences between the English and Russian language teachers' attitudes towards incorporating CALL into their teaching professions. To this end a number of 53 English teacher and 52 Russian language teachers participated in the study. They were asked to fill the E & L teachers' attitude toward CALL questionnaire.The collected data was analyzed using SPSS 22 through running independent sample T- test. The result indicated that there is a significant difference between English and Russian teachers' attitude towards CALL. Moreover, it was concluded that English language teachers have more positive views towards incorporating CALL into their teaching.
Comparison of the Effectiveness of Contextual Therapy fair- centered and Emotion-Focused Therapy on Marital Intimacy and Marital Burnout among Couples
Authors: Sanamnejad Aydin , Ghamari Givi Hossein , Sheykholeslami Ali , Rezaiisharif Ali 
Published: October 2021

The aim of the present study was to compare and evaluate the effectiveness of Contextual Therapy fair-centered (CT) (based on Ivan Böszörményi-Nagy) and Emotion-Focused Therapy (EFT) on increasing Marital Intimacy and reducing Marital Burnout in couples.
The method was semi-experimental with a pretest-posttest design with a control group. The statistical population included all couples who in 2017-2018 referred to the Sanam private office of counseling and psychological services (under the supervision of the Psychology and Counseling Organization of Iran) in the city of Urmia. Among them, 24 couples who have referred to this center due to marital conflicts, after matching the subjects and the criteria for entering and leaving the research, were purposefully selected and randomly assigned to three groups (Eight pairs in each group), which are two experimental groups and one control group. After performing the pretest, the Contextual Therapy group were performed 10 sessions and Emotion-Focused Therapy was 9 for each pair. The questionnaires used included Walker and Thompson's intimacy scale and Pines 's Burnout Scale. To analyze the data and hypotheses, the statistical test method of “repeated measurement variance analysis” and SPSS software were used.
Findings showed that the effectiveness of Emotion-Focused Therapy in increasing intimacy was significantly (p < 0.001) than the Contextual. But there is no significant difference between the two approaches in reducing “marital boredom”, Also, the findings showed that, over time, the effectiveness of the Contextual Therapy approach to the Emotion-Focused Therapy in “marital burnout” is more stable.
Conclusion: In comparison Emotion-Focused Therapy a more effective effect in increasing intimacy and the effectiveness of the two approaches in reducing marital burnout is the same,but in the long run, the Contextual approach has shown better therapeutic stability in improving Marital burnout.
Late Cretaceous sediment provenance in the eastern Gulf Coastal Plain (U.S.A.) based on detrital-zircon U-Pb ages and Th/U values
Authors: Jackson William T. , McKay Matthew P. , Beebe Donald A. , Mullins Carolyn , Ionescu Adelie , Shaulis Barry , Barbeau David L. 
Published: October 2021

ABSTRACTDetrital-zircon U-Pb geochronology documents a regional- to continental-scale drainage reorganization along the eastern Gulf Coastal Plain (USA) from the Late Cretaceous (Cenomanian) to the Paleocene–Eocene. We present detrital-zircon U-Pb ages and Th/U values from the Maastrichtian Ripley Formation to determine the sedimentary provenance and to provide spatiotemporal resolution of drainage reorganization. The Ripley Formation contains a 12.7% overall average abundance of detrital zircons with low (&lt; 0.1) Th/U values relative to the underlying Cenomanian Tuscaloosa Group (3.6%), the overlying Paleocene–Eocene Wilcox Group (2.8%), an Appalachian foreland composite (2.1%), and the laterally equivalent McNairy Sandstone in the northern Mississippi Embayment (3.8%). Multidimensional scaling of detrital-zircon U-Pb spectra shows that the Ripley Formation is dissimilar from underlying and overlying Gulf Coastal Plain units, the McNairy Sandstone, and an Appalachian foreland composite sample because of differences in proportions of Appalachian (490–270 Ma) and Grenville (1250–900 Ma) zircons. We interpret the southern Appalachian Piedmont province as the principal sediment source region for the Ripley Formation to account for the elevated abundance of grains with low (&lt; 0.1) Th/U values and unique detrital-zircon U-Pb age spectra. Results suggest a regional-scale (105 km2) drainage network, which delivered sediment to the Maastrichtian coast followed by northwestward littoral transport and eventual mixing with Appalachian foreland-derived sediment in the northern Mississippi Embayment. This study further brackets drainage reorganization along the eastern Gulf Coastal Plain and demonstrates how simple chemical–age relationships, such as zircon Th/U values coupled with U-Pb ages, can be used to evaluate sediment provenance.
Fluid Saturation Predictions in a “Transition Zone” Carbonate Reservoir, Abu Dhabi
Authors: Kirkham Anthony , Juma Mohamed Bin , McKean Tilden A.M. , Palmer Anthony F. , Smith Michael J. , Thomas A. Huw , Twombley Bryan N. 
Published: October 2021

ABSTRACT
The field is a low amplitude structure with a chalky, Lower Cretaceous, Thamama reservoir characterised by a large hydrocarbon transition zone. Porosity generally decreases with depth within the trap although porosity versus depth trends are skewed by tilting. Porosity and permeability mapping was therefore achieved using templates based on seismic amplitudes. Special core analysis data were used to construct algorithms of Leverett J functions versus saturation for a variety of rock types mapped throughout the 3-D geological model of the field. The templated poroperms were then combined with capillary pressures to predict fluid saturations from these algorithms. The modelling of fluid distributions was therefore dependent upon heterogeneities imposed by the rock fabrics. Calibrating the model-predicted saturations against log-derived saturations at the wells involved regression techniques which were complicated by: notional structural tilting of the free water level, imbibition, hysteresis and permeability averaging procedures. Filtered “stick displays” proved useful in assessing the quality of the calibrations and were invaluable tools for highlighting and investigating data anomalies.
Using Text and Visual Cues for Fine-Grained Classification
Authors: Shaker Zaryab , Feng Xiao , Tahir Muhammad Adeel Ahmed 
Published: October 2021

AbstractText is an important invention of humanity, which plays a key role in human life, so far from dark ages. Text in image is closely related to the scene or a product and is widely used in vision based application. In this paper we are addressing the problem of visual understanding with text. The main focus is combining textual cues and visual cues in deep neural network. First the text is recognized and classified from the image. Then we combine the attended word embedding and visual feature vector which are then optimized by CNN for Fine-grained image classification. We carried out the experiments on soft drink dataset in Pakistan. The results shows that the system achieves significant performance which can be potentially beneficial for real world application e.g. product search.
Estimation of lymphocyte radiation doses after the ingestion of radionuclides of different tropicity
Authors: Tolstykh E. I. , Degteva M. O. , Akleyev A. V. 
Published: October 2021

Assessment of the lymphocyte doses is relevant for solving a number of radiobiological problems, including the risk assessment of hemoblastosis (leukemia, multiple myeloma, lymphoma etc.), as well as the use of circulating lymphocytes as “natural biodosimeters”. The latter is because the frequency of chromosomal aberrations occurring in lymphocytes following radiation exposure is proportional to the accumulated dose. Assessment of doses to the circulating lymphocytes requires due account of: first, the dose accumulated by the lymphocyte progenitors in the red bone marrow; and second, the dose accumulated during lymphocyte circulation through lymphoid organs. The models presented by International Commission on Radiological Protection (ICRP-67, ICRP-100) allow calculating the dose for specific lymphoid organs based on known level of radionuclide intakes. A recently developed model of circulating T-lymphocyte irradiation takes into account all sources of exposure and age-related dynamics of T-lymphocytes: (1) exposure of lymphocyte progenitors in red bone marrow: (2) exposure of T-lymphocytes in the lymphoid organs, taking into account the proportion of resident lymphocytes and the residence time of circulating lymphocytes in the specific lymphoid organs. The objective of the study is to assess the dose coefficients allowing for the transition from the ingestion of 141,144Ce, 95Zr, 103,106Ru, 95Nb to the doses accumulated in circulating T-lymphocytes. For calculations, we used the dose coefficients from ICRP publications for specific lymphoid organs, as well as published data on the residence time of circulating lymphocytes in lymphoid organs and tissues. As a result, it was shown that the doses in circulating T-lymphocytes are higher than those in the red bone marrow, but lower than the doses to the colon wall. The dose coefficients were age dependent; the maximum values were typical for newborns. The obtained dose coefficients for 141,144Ce, 95Zr, 95Nb and 103,106Ru can be used to estimate the tissue and organ doses based on data on the frequency of chromosomal aberrations in peripheral blood lymphocytes.
A model for calculating beta exposure doses to tracheobronchial cells during movement of a point source
Authors: Repin V. S. 
Published: October 2021

The article describes a model and method for calculating beta-exposure doses to secretory and basal cells of the tracheobronchial part of the respiratory tract when a point source of 1 Bq activity moves along the inner surface of respiratory formations. The calculations, that used for proposed model, were performed by using a 90Y point source as an example. The dose calculation model takes into account the speed o f movement of the radiation source in each respiratory formation, the size of the respiratory formations, and the depth of the secretory and basal cells. The dose calculation is based on the dose rate attenuation functions published by W. G. Cross et al. (DOI: 10.1097/00004032-199208000-00002). The calculations were performed for a cylindrical model of a respiratory formation. Two kinds of cells were considered for the dose estimation: cells irradiated without beta-particle exit into bronchial lumen (type 1 cells) and cells irradiated due to beta-par­ticle exit into bronchial lumen (type 2 cells). The results of calculations showed, that as far as the generation number increasing, the average irradiation doses of the type 1 cells are 10 or more times greater than those of the type 2 cells. With increasing generation number in the tracheobronchial tree, doses per cells increase by several orders of magnitude. The highest doses are formed in bronchioles of generations 9-15, reaching units and tens of mGy. In spite of the fact that the number of generation increases, the total number of irradiated cells decreases, the collective doses of irradiated cells (sum of doses to all cells of the respiratory formation) in the last generations are 30-50 times higher than the doses of the first generations. Thus, in case of a single point source, there is a significant (by many orders of magnitude) scatter of doses to individual cells in indi­vidual respiratory formation, as well as significant differences in average doses of trachea, individual bronchi and bronchioles.
A Smartphone App (AnSim) With Various Types and Forms of Messages Using the Transtheoretical Model for Cardiac Rehabilitation in Patients With Coronary Artery Disease: Development and Usability Study
Authors: Choi Jah Yeon , Kim Ji Bak , Lee Sunki , Lee Seo-Joon , Shin Seung Eon , Park Se Hyun , Park Eun Jin , Kim Woohyeun , Na Jin Oh , Choi Cheol Ung , Rha Seung-Woon , Park Chang Gyu , Seo Hong Seog , Ahn Jeonghoon , Jeong Hyun-Ghang , Kim Eung Ju 
Published: October 2021

Background
Despite strong evidence of clinical benefit, cardiac rehabilitation (CR) programs are currently underutilized and smartphone-based CR strategies are thought to address this unmet need. However, data regarding the detailed process of development are scarce.

Objective
This study focused on the development of a smartphone-based, patient-specific, messaging app for patients who have undergone percutaneous coronary intervention (PCI).

Methods
The AnSim app was developed in collaboration with a multidisciplinary team that included cardiologists, psychiatrists, nurses, pharmacists, nutritionists, and rehabilitation doctors and therapists. First, a focus group interview was conducted, and the narratives of the patients were analyzed to identify their needs and preferences. Based on the results, health care experts and clinicians drafted messages into 5 categories: (1) general information regarding cardiovascular health and medications, (2) nutrition, (3) physical activity, (4) destressing, and (5) smoking cessation. In each category, 90 messages were developed according to 3 simplified steps of the transtheoretical model of behavioral change: (1) precontemplation, (2) contemplation and preparation, and (3) action and maintenance. After an internal review and feedback from potential users, a bank of 450 messages was developed.

Results
The focus interview was conducted with 8 patients with PCI within 1 year, and 450 messages, including various forms of multimedia, were developed based on the transtheoretical model of behavioral change in each category. Positive feedback was obtained from the potential users (n=458). The mean Likert scale score was 3.95 (SD 0.39) and 3.91 (SD 0.39) for readability and usefulness, respectively, and several messages were refined based on the feedback. Finally, the patient-specific message delivery system was developed according to the baseline characteristics and stages of behavioral change in each participant.

Conclusions
We developed an app (AnSim), which includes a bank of 450 patient-specific messages, that provides various medical information and CR programs regarding coronary heart disease. The detailed process of multidisciplinary collaboration over the course of the study provides a scientific basis for various medical professionals planning smartphone-based clinical research.
Co-design of a Smartphone App for People Living With Dementia by Applying Agile, Iterative Co-design Principles: Development and Usability Study
Authors: Fox Sarah , Brown Laura J E , Antrobus Steven , Brough David , Drake Richard J , Jury Francine , Leroi Iracema , Parry-Jones Adrian R , Machin Matthew 
Published: October 2021

Background
The benefits of involving those with lived experience in the design and development of health technology are well recognized, and the reporting of co-design best practices has increased over the past decade. However, it is important to recognize that the methods and protocols behind patient and public involvement and co-design vary depending on the patient population accessed. This is especially important when considering individuals living with cognitive impairments, such as dementia, who are likely to have needs and experiences unique to their cognitive capabilities. We worked alongside individuals living with dementia and their care partners to co-design a mobile health app. This app aimed to address a gap in our knowledge of how cognition fluctuates over short, microlongitudinal timescales. The app requires users to interact with built-in memory tests multiple times per day, meaning that co-designing a platform that is easy to use, accessible, and appealing is particularly important. Here, we discuss our use of Agile methodology to enable those living with dementia and their care partners to be actively involved in the co-design of a mobile health app.

Objective
The aim of this study is to explore the benefits of co-design in the development of smartphone apps. Here, we share our co-design methodology and reflections on how this benefited the completed product.

Methods
Our app was developed using Agile methodology, which allowed for patient and care partner input to be incorporated iteratively throughout the design and development process. Our co-design approach comprised 3 core elements, aligned with the values of patient co-design and adapted to meaningfully involve those living with cognitive impairments: end-user representation at research and software development meetings via a patient proxy; equal decision-making power for all stakeholders based on their expertise; and continuous user consultation, user-testing, and feedback.

Results
This co-design approach resulted in multiple patient and care partner–led software alterations, which, without consultation, would not have been anticipated by the research team. This included 13 software design alterations, renaming of the product, and removal of a cognitive test deemed to be too challenging for the target demographic.

Conclusions
We found patient and care partner input to be critical throughout the development process for early identification of design and usability issues and for identifying solutions not previously considered by our research team. As issues addressed in early co-design workshops did not reoccur subsequently, we believe this process made our product more user-friendly and acceptable, and we will formally test this assumption through future pilot-testing.
Clinical Impact of an Analytic Tool for Predicting the Fall Risk in Inpatients: Controlled Interrupted Time Series
Authors: Cho Insook , Jin In sun , Park Hyunchul , Dykes Patricia C 
Published: October 2021

Background
Patient falls are a common cause of harm in acute-care hospitals worldwide. They are a difficult, complex, and common problem requiring a great deal of nurses’ time, attention, and effort in practice. The recent rapid expansion of health care predictive analytic applications and the growing availability of electronic health record (EHR) data have resulted in the development of machine learning models that predict adverse events. However, the clinical impact of these models in terms of patient outcomes and clinicians’ responses is undetermined.

Objective
The purpose of this study was to determine the impact of an electronic analytic tool for predicting fall risk on patient outcomes and nurses’ responses.

Methods
A controlled interrupted time series (ITS) experiment was conducted in 12 medical-surgical nursing units at a public hospital between May 2017 and April 2019. In six of the units, the patients’ fall risk was assessed using the St. Thomas’ Risk Assessment Tool in Falling Elderly Inpatients (STRATIFY) system (control units), while in the other six, a predictive model for inpatient fall risks was implemented using routinely obtained data from the hospital’s EHR system (intervention units). The primary outcome was the rate of patient falls; secondary outcomes included the rate of falls with injury and analysis of process metrics (nursing interventions that are designed to mitigate the risk of fall).

Results
During the study period, there were 42,476 admissions, of which 707 were for falls and 134 for fall injuries. Allowing for differences in the patients’ characteristics and baseline process metrics, the number of patients with falls differed between the control (n=382) and intervention (n=325) units. The mean fall rate increased from 1.95 to 2.11 in control units and decreased from 1.92 to 1.79 in intervention units. A separate ITS analysis revealed that the immediate reduction was 29.73% in the intervention group (z=–2.06, P=.039) and 16.58% in the control group (z=–1.28, P=.20), but there was no ongoing effect. The injury rate did not differ significantly between the two groups (0.42 vs 0.31, z=1.50, P=.134). Among the process metrics, the risk-targeted interventions increased significantly over time in the intervention group.

Conclusions
This early-stage clinical evaluation revealed that implementation of an analytic tool for predicting fall risk may to contribute to an awareness of fall risk, leading to positive changes in nurses’ interventions over time.

Trial Registration
Clinical Research Information Service (CRIS), Republic of Korea KCT0005286; https://cris.nih.go.kr/cris/search/detailSearch.do/16984