bluuebunny/crossref_metadata_2025 huggingface dataset:
3D Visual Motion Amplitude Tracking Simulation Method for Sports
Authors: Zhuo Ni , Sharma Anil
Published: July 2021

Background:

The character motion of 3D animation production is difficult, and to solve
this problem, motion-pose capture technology is very effective. The workload of character motion
control is reduced by this technique and the animation development is improved. It is used in virtual
training grounds and real-time tracking of the motion. The complete contour features cannot be efficiently
acquired by the 3D visual motion technique. The 3D visual motion amplitude tracking method
in sports is studied in order to improve the training quality of athletes effectively. However,
when the current method is used for motion amplitude tracking, the markers in the adjacent monocular
sequence motion amplitude images cannot be calculated.

Methodology:

At this point, there is a problem of a large tracking error of 3D visual motion amplitude.
To this end, a 3D amplitude tracking method in sports based on inverse kinematics is proposed.
This method locates the marker points that appear in the adjacent monocular sequence motion
range and merges it with the rotation angle method to predict the position of the motion range
in the image.

Results:

The motion amplitude is obtained, and 3D visual motion amplitude is outside the optimization
area; this has been used as a basis to complete the tracking of the 3D visual motion amplitude in sports.

Conclusion:

Experimental simulation performed in MATLAB proves the high tracking accuracy of
the proposed method.
Graphic Design Method Based on 3D Virtual Vision Technology
Authors: Chen Yanlin , Zou Wei , Sharma Amit
Published: July 2021

Background:

Computer vision studies and three-dimensional (3D) models are used to
restore two-dimensional (2D) images. Computer vision studies have been conducted in the computer
graphic field, and due to its broad applications, numerous related explorations have been performed.

Methodology:

To directly and effectively convey the design concept of the virtual vision technology,
the graphic design was changed from 2D to 3D, which broadened the graphic design development space.
Based on the 3D virtual vision and interactive design, this study constructed an interior design platform.
After the detailed introduction of the function design of the 3D virtual visual effect displays of the interior
design platform, the 3D virtual rendering functions of the interior design platform were designed.

Results:

When the traditional interior design platform was improved, panoramic information combined
with 3D virtual vision technology can be used to record and analyze the results and to generate
the corresponding image workflow for establishing a completely functional interior design platform.
Based on this, ordinary and interior design platforms were comparatively analyzed.

Conclusion:

The interior design platform can accurately determine the interior landscape position
and draw good 3D images.
Blood Glucose Lowering Effect by an Extract from Aronia (Aronia melanocarpa) - A Pilot Intervention Study
Authors: Berger Kirsten , Ostberg Potthoff Johanna Josefine , Bakuradze Tamara , Winterhalter Peter , Richling Elke
Published: July 2021

Background:

The polyphenols from red fruits exhibit protective effects against degenerative
diseases, such as diabetes mellitus type 2, cardiovascular disease and others.

Objective:

In this small pilot intervention study with only ten volunteers, we investigated the influence
of phenolic extracts prepared from an aronia juice, and a red grape juice concentrate on peripheral
glucose, blood glucose, and insulin after the intake of a drink containing these extracts
plus maltodextrin and water.

Method:

Maltodextrin in water served as control; additionally, phenolic extracts from aronia or
grape juice were added. Blood samples were taken before ingestion of the bolus drink, and 30, 60,
90, 120, 180, 240, and 360 min after. Additionally, the peripheral glucose was measured continuously
using a commercially available sensor system.

Results:

In all ten volunteers, the intake of aronia extract (100 mg) reduced both, the peripheral glucose
and the blood glucose levels significantly (p≤0.05) in comparison to the control. Blood insulin
levels were not affected. Whereas the intake of red grape extract (120 mg) did not reduce the glucose
levels, but increased the insulin levels significantly.

Conclusion:

Our pilot study showed that even low amounts of a phenolic aronia extract could lower
the glucose absorption. Thus, due to the blood glucose lowering effects of aronia phenolics in
healthy volunteers, these preliminary results warrant further investigation in the frame of a follow-
up study with larger number of volunteers.
A Concise Overview of Biosensing Technologies for the Detection of
Alzheimer's Disease Biomarkers
Authors: Talebi Marjan , Esmaeeli Hadi , Talebi Mohsen , Farkhondeh Tahereh , Samarghandian Saeed
Published: July 2021

Alzheimer's disease (AD) is a brain-linked pathophysiological condition with neuronal degeneration
and cognition dysfunctions and other debilitations. Due to the growing prevalence of AD,
there is a highly commended trend to accelerate and develop analytical technologies for easy, costeffective,
and sensitive detection of AD biomarkers. Biosensors are commanding analytical devices that
can conduct biological responses on transducers into measurable signals. This review focuses on up-todate
developmets, contests, and tendencies regarding AD biosensing principally, with the emphasis on
the exclusive possessions of nanomaterials. In the last decade, remarkable advancements have been
achieved to the progression of biosensors, predominantly optical and electrochemical, for the detection
of AD biomarkers. These analytical devices can assist the case finding and management of AD.
Los beneficios de la responsabilidad social empresarial: una revisión literaria
Authors: Jaimes Valdez Miguel Ángel , Jacobo Hernández Carlos Armando , Ochoa Jiménez Sergio
Published: July 2021

La situación mundial actual, caracterizada por problemáticas de tipo social, medio ambiental y económico, plantea la necesidad de nuevas formas de organización. Existen algunos temas que podrían ayudar al respecto, como la responsabilidad social empresarial. Sin embargo, existe confusión en cuanto a los beneficios que esta aporta. Por ello, se realiza una revisión literaria para proporcionar al lector una introducción sobre este tema. Los hallazgos señalan que la responsabilidad social empresarial tiene una relación positiva con temas relevantes como la reputación corporativa, la intención de compra, el voluntarismo, el compromiso, la sostenibilidad y el desempeño organizacional, entre otros. Por ende, es necesario continuar con el desarrollo teórico y práctico de la responsabilidad social por parte de la academia y el sector empresarial, respectivamente.
Reseña. Fabricato 100 años. La tela de los hilos perfectos. Karim León Vargas y Juan Carlos López Díez (coordinadores). Editorial EAFIT, Medellín, 2020.
Authors: Jaimes Sonia
Published: July 2021

La historiografía empresarial colombiana se caracteriza por su exigua producción. Por ello, cada nueva publicación nos llena de alegría. La historia centenaria sobre Fabricato publicada por el Grupo de Historia Empresarial (GHE) de la Universidad EAFIT, integrado por historiadores cuyos estudios se han complementado con áreas como la administración, la ingeniería industrial el análisis de las organizaciones, la contaduría pública y los estudios estéticos y semióticos, es una invitación a reflexionar sobre el papel que las empresas y los empresarios han jugado en la formación de la sociedad colombiana, tanto en las dimensiones económicas y sociales como en la cultural.
Editorial. Entre pequeña empresa familiar y gran familia de empresas: una muestra de los grupos empresariales en América Latina desde la perspectiva de la historia empresarial
Authors: Rodríguez-Satizabal Beatriz
Published: July 2021

Los grupos empresariales en América Latina han desatado un renovado interés en las últimas décadas, especialmente porque desde el inicio de la segunda fase de globalización se convirtieron en los líderes de la internacionalización de las empresas de la región (Andonova & Losada-Otálora, 2017; Bull et al., 2014; Casanova, 2010), han estado en el ojo del huracán en muchos países por su estrecha relación con la política y el Estado y, contrario a lo observado en países desarrollados, se fortalecieron y crecieron aceleradamente. Diferente a lo ocurrido durante los años 70, cuando los trabajos publicados sobre grupos demonizaban su existencia (Cordero, 1977; Dahse, 1979; Silva-Colmenares, 1977), historiadores económicos y empresariales concluyen que los grupos son uno de los mayores actores económicos en la región, junto con las multinacionales y las empresas propiedad del Estado (Miller, 2010). Lo anterior ha permitido la publicación de estudios sobre la evolución de grupos individuales, descripciones de las características de los grupos en algunos países y estudios cuantitativos sobre el impacto de los grupos en la economía o la internacionalización (Barbero, 2021), lo cual ha generado un renovado interés por su evolución en los diferentes períodos de la historia económica de la región.
PE2LGP: tradutor de português europeu para língua gestual portuguesa em glosas
Authors: Gonçalves Matilde , Coheur Luisa , Nicolau Hugo , Mineiro Ana
Published: July 2021

A língua gestual portuguesa, tal como a língua portuguesa, evoluiu de forma natural, adquirindo características gramaticais distintas do português. Assim, o desenvolvimento de um tradutor entre as duas não consiste somente no mapeamento de uma palavra num gesto (português gestuado), mas em garantir que os gestos resultantes satisfazem a gramática da língua gestual portuguesa e que as traduções estejam semanticamente corretas. Trabalhos desenvolvidos anteriormente utilizam exclusivamente regras de tradução manuais, sendo muito limitados na quantidade de fenómenos gramaticais abrangidos, produzindo pouco mais que português gestuado.

Neste artigo, apresenta-se o primeiro sistema de tradução de português para a língua gestual portuguesa, o PE2LGP, que, para além de regras manuais, se baseia em regras de tradução construídas automaticamente a partir de um corpus de referência. Dada uma frase em português, o sistema devolve uma sequência de glosas com marcadores que identificam expressões faciais, palavras soletradas, entre outras. Uma avaliação automática e uma avaliação manual são apresentadas, indicando os resultados melhorias na qualidade da tradução de frases simples e pequenas em comparação ao sistema baseline (português gestuado).

Este é, também, o primeiro trabalho que lida com as expressões faciais gramaticais que marcam as frases interrogativas e negativas.
A supervisão como espaço de transformação - um estudo no contexto do estágio
Authors: Pais-Vieira Luísa , Vieira Flávia , Costa Jorge Alexandre
Published: July 2021

O presente artigo apresenta um estudo de caso de natureza interpretativa cuja finalidade foi investigar o papel da supervisão pedagógica na (re)construção da disciplina de Formação Musical, no âmbito do estágio do Mestrado em Ensino de Música do Instituto Politécnico do Porto. Procurou-se compreender em que medida a supervisão em estágio favorece uma visão transformadora da disciplina e do desenvolvimento profissional dos futuros professores. A recolha de dados foi feita através do inquérito (por questionário e entrevista) e da análise seletiva de relatórios de estágio, envolvendo todos os atores do estágio de Formação Musical no ano letivo de 2015/16: 10 estagiários, 10 professores cooperantes das escolas e 2 professores supervisores da instituição de formação. Apresentam-se resultados parciais relativos às suas perceções sobre as competências profissionais desenvolvidas no estágio, os desafios que se colocam à prática pedagógica, o impacto da supervisão e o perfil dos orientadores. Conclui-se que a supervisão neste contexto assume uma orientação tendencialmente transformadora, embora se observem desfasamentos entre conceções ideais e vivências das práticas, assim como entre as perceções dos orientadores e dos estagiários, o que configura o estágio como um espaço de formação complexo que exige uma abordagem reflexiva e dialógica.
Эффективная диэлектрическая проницаемость композита с эллипсоидальными включениями в матричной оболочке
Authors: Пономаренко В.И. , Лагунов И.М.
Published: July 2021

A composite material based on ellipsoidal inclusions distributed in a bonding medium is considered. A formula is obtained for calculating the effective dielectric constant of such a material, taking into account the presence of a layer of a binder on the inclusions, which prevents their direct contact. It is shown that the calculated values of the effective dielectric constant correspond to the experimental values for a composite based on sections of conductive fibers.
Recurrent varicocele
Authors: Kotov S. V. , Korochkin N. D. , Klimenko A. A.
Published: July 2021

Varicocele is one of the most common problems in modern reproductive medicine. The incidence of varicocele in the structure of the general male population is 15%, 40% of which have problems with fertility. Among the causes of male infertility, varicocele ranks second after idiopathic, thus being the most common curable cause of male infertility. While researching the pathophysiological mechanisms of infertility in varicocele, the question of the reasons for the varicocele relapses, both after surgical and endovascular methods of treatment remains open, as well as the tactics of managing such patients. The review aimed to systematize knowledge about the problem of recurrent varicocele, to analyze the frequency and etiology of relapses after various methods of primary treatment, as well as to select the optimal diagnostic and treatment option for varicocele recurrence.
The one-stage balloon dilatation with stone extraction for a combination of short urethral stricture and urethral stone in men
Authors: Alibekov M. M. , Katibov M. I. , Skorovarov A. S. , Gazimagomedov G. A. , Arbuliev K. M. , Savzikhanov R. T. , Kamalov K. G.
Published: July 2021

Introduction. The literature highlights isolated studies examining approaches to the treatment of patients with a combination of stones and urethral stricture. In this regard, the problem of creating optimal tactics for managing such patients remains relevant.

Purpose of the study. To analyze of own experience in treating patients with a combination of stricture and urethral stone using balloon dilation with urethral stone extraction.

Materials and methods. The study included 7 men with short urethral stricture and stone, who underwent balloon dilation with urethral stone extraction. The age of patients ranged from 47 to 65 years (median - 52 years). The length of the urethral stricture ranged from 3 to 10 mm (median - 7 mm). The stricture in 2 (28.6%) cases was localized in the penile part of the urethra and 5 (71.4%) in the bulbous part. An etiology of urethral strictures: traumatic - in 2 (42.9%) patients, inflammatory - in 1 (14.3%) of cases, idiopathic - in 4 (57.1%) of cases. All patients had 1 urethral stone. The sizes of the stone ranged from 4 to 9 mm (median - 6 mm).

Results. The operation time ranged from 11 to 19 min (median - 13 min). No patient had any intraoperative complications. UTIs was observed in the early postoperative period in 1 patient. The duration of postoperative hospital stay ranged from 1 to 5 days (median - 3 days). Postoperative follow-up ranged from 3 to 24 months (median - 14 months). Only 1 (14.3%) patient had a recurrence of urethral stricture 18 months after treatment. Thus, the overall treatment success in this group of patients was 85.7% (6/7).

Conclusion. We used this conjunction approach when combined stricture and urethral stone in men for the first time in the world. It seems quite promising given the results.
Predicting the outcomes of a single endoscopic correction of vesicoureteral reflux using a dextranomer/hyaluronic acid copolymer: selection of the optimal predictive model
Authors: Dubrov V. I. , Sizonov V. V. , Kagantsov I. M. , Negmatova K. N. , Bondarenko S. G.
Published: July 2021

Introduction. Endoscopic dextranomer/hyaluronic acid copolymer (DxHA) injection is the most commonly used minimally invasive method of surgical treatment of vesicoureteral reflux (VUR) in children.

Purpose of the study. To estimate the accuracy of logistic prognostic models and artificial neural network for prediction a single endoscopic injection DxHA in VUR.

Materials and methods. We used endoscopic DxHA in 582 patients (783 ureteric units) of all grades reflux (I - 20, II - 133, III - 443, IV - 187), 53 ureters had complete duplication. A total effectiveness of surgery was 53.2%. A binary logistic regression model and an artificial neural network (multilayer perceptron) were created, taking the following as independent variables: grade of reflux, the patient's age and sex, the ureteral duplication and ureteral dilatation index.

Results. The univariate logistic regression showed that the selected predictors were strongly related to the outcome of the treatment. Binary logistic regression and neural network developed high accuracy of the predictions, area under ROC-curve was 0,7 for logistic regression model (a sensitivity of 70.7%, and a specificity of 66.3%) and 0.74 for artificial neural network (a sensitivity of 85.5%, a specificity of 65.3%). Synaptic neural network weights and logistic regression parameters were used in a scoring model to predict the outcome of a single endoscopic injection of DxHA in 2 independent hospitals. An outcomes analysis using predictive models in independent clinics showed a good quality of prediction both with the use of logistic regression (75% and 90% of the correct prognosis) and using a neural network (89.7% and 77% of the correct prediction).

Conclusion. An artificial neural network and a binary logistic regression model are an effective tool to assist urologists in identifying and applying endoscopic treatments for VUR in children.
Percutaneous antegrade ureterolithotripsy for proximal ureteral stones: overview own experience use
Authors: Popov S. V. , Guseinov R. G. , Gadjiev N. K. , Davydov A. V. , Obidnyak V. M. , Barhitdinov R. S. , Perepelitsa V. V.
Published: July 2021

Introduction. Currently, a large number of techniques are used in the treatment of patients with ureteral stones: extracorporeal shock-wave lithotripsy (ESWL), retrograde ureterolithotripsy (RULT), laparoscopic and retro-peritoneoscopic ureterolithotomy.

Purpose of the study. To evaluate the possibilities and effectiveness of percutaneous antegrade ureterolithotripsy in the treatment of patients with proximal ureteral stones in comparison with transurethral contact ureterolithotripsy.

Materials and methods. Twenty-eight patients with urolithiasis were treated, who underwent percutaneous antegrade ureterolithotripsy (PAULT) and 27 patients of the control group, who underwent RULT. All patients included in the study underwent a standard preoperative examination: complete blood count and urine analysis, bacteriological urine culture, biochemical tests, and X-ray research methods. Plain urography, renal ultrasound, computed tomography were used as imaging methods. The OLYMPUS URF-V3 8.4 Ch (Olympus Europa SE & Co. KG., Germany) video uretero-renoscope was used for PAULT in patients of the main group; lithotripsy was performed using thulium laser. The results of the study were subjected to statistical processing in order to determine the statistical significance of the differences between the data obtained. Quantitative variables were described using the arithmetic mean (M) and standard deviation (5). Qualitative variables were estimated by absolute and relative frequencies (percentages). The data were considered reliable at p values < 0.05.

Results. The average time of surgical intervention in patients of the main group from the moment of placement of the ureteral catheter was 47 ± 12 min, with access without preliminary renal catheterization: 28 ± 4 min. Average time of surgical intervention in patients of the control group: 42.0 ± 10.7 minutes. The presented data indicate a significant (p < 0.05) greater cases' number of complete stone removal among patients of the main group compared with patients in the control group (74.0%).

Conclusion. PAULT is preferred among choice treatment methods for patients with proximal ureteral large stones, for whom RULT and ESWL cannot be performed with a high level of “stone-free” rate and a minimum number of complications.
ANALISIS ANTENATAL CARE (ANC) PADA SURVEILANS KESEHATAN IBU DAN ANAK DENGAN TAHAPAN AGREGASI PIPELINE NOSQL
Authors: Heksaputra Dadang , Bahrudin M. J. U. Haris , Fauziyah Anni Karimatul , Wijaya Dhina Puspasari
Published: July 2021

Case 30.8 percent of Indonesian children under five are stunted. Bantul is a district in the Province of D.I. Yogyakarta, Indonesia, is a locus of stunting. Bantul has ten villages. The ten villages include Patalan Jetis Village, Canden Jetis Village, Terong Dlingo Village, Argodadi Sedayu Village, Triharjo Pandak Village, Triwidadi Pajangan Village, Jatimulyo Dlingo Village, Datangharjo Sewon Village, Sendangsari Pajangan Village, and Trimulyo Jetis Village. The research focuses on the village of Argodadi Sedayu. In the village of Argodadi Sedayu, Antenatal Care (ANC) research would be conducted. Antenatal Care (ANC) is a pregnancy check by a doctor or midwife. Therefore, Antenatal Care Analysis (ANC) is needed to determine whether diet, parenting, and sanitation are well programmed. Antenatal care (ANC) research framework was a model of method improvement. The method improvement model consists of indicators, proposed methods, objectives, and measurements. The indicators consist of monitoring instruments and health visits. The proposed method uses an aggregation pipeline stage. The data was processed in the aggregation pipeline stage. The data were obtained from the time series data surveillance dataset. The research objective was to analyze the research results accurately according to the proposed method. Measurement of indicator analysis with the application of the dashboard as a performance indicator on the research results. Practically, it is hoped that the research results could consider the health office and related institutions in reducing or even elevating Argodadi Sedayu Village in Yogyakarta as a non-locus of stunting using massive monitoring of diet, parenting, and sanitation well programmed.
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study
Authors: Nikolov Stanislav , Blackwell Sam , Zverovitch Alexei , Mendes Ruheena , Livne Michelle , De Fauw Jeffrey , Patel Yojan , Meyer Clemens , Askham Harry , Romera-Paredes Bernadino , Kelly Christopher , Karthikesalingam Alan , Chu Carlton , Carnell Dawn , Boon Cheng , D'Souza Derek , Moinuddin Syed Ali , Garie Bethany , McQuinlan Yasmin , Ireland Sarah , Hampton Kiarna , Fuller Krystle , Montgomery Hugh , Rees Geraint , Suleyman Mustafa , Back Trevor , Hughes Cían Owen , Ledsam Joseph R , Ronneberger Olaf
Published: July 2021

Background

Over half a million individuals are diagnosed with head and neck cancer each year globally. Radiotherapy is an important curative treatment for this disease, but it requires manual time to delineate radiosensitive organs at risk. This planning process can delay treatment while also introducing interoperator variability, resulting in downstream radiation dose differences. Although auto-segmentation algorithms offer a potentially time-saving solution, the challenges in defining, quantifying, and achieving expert performance remain.

Objective

Adopting a deep learning approach, we aim to demonstrate a 3D U-Net architecture that achieves expert-level performance in delineating 21 distinct head and neck organs at risk commonly segmented in clinical practice.

Methods

The model was trained on a data set of 663 deidentified computed tomography scans acquired in routine clinical practice and with both segmentations taken from clinical practice and segmentations created by experienced radiographers as part of this research, all in accordance with consensus organ at risk definitions.

Results

We demonstrated the model’s clinical applicability by assessing its performance on a test set of 21 computed tomography scans from clinical practice, each with 21 organs at risk segmented by 2 independent experts. We also introduced surface Dice similarity coefficient, a new metric for the comparison of organ delineation, to quantify the deviation between organ at risk surface contours rather than volumes, better reflecting the clinical task of correcting errors in automated organ segmentations. The model’s generalizability was then demonstrated on 2 distinct open-source data sets, reflecting different centers and countries to model training.

Conclusions

Deep learning is an effective and clinically applicable technique for the segmentation of the head and neck anatomy for radiotherapy. With appropriate validation studies and regulatory approvals, this system could improve the efficiency, consistency, and safety of radiotherapy pathways.
In-hospital Mortality and the Predictive Ability of the Modified Early Warning Score in Ghana: Single-Center, Retrospective Study (Preprint)
Authors: Abbey Enoch Joseph , Mammen Jennifer S R , Soghoian Samara E , Cadorette Maureen A F , Ariyo Promise
Published: July 2021

BACKGROUND

The modified early warning score (MEWS) is an objective measure of illness severity that promotes early recognition of clinical deterioration in critically ill patients. Its primary use is to facilitate faster intervention or increase the level of care. Despite its adoption in some African countries, MEWS is not standard of care in Ghana. In order to facilitate the use of such a tool, we assessed whether MEWS, or a combination of the more limited data that are routinely collected in current clinical practice, can be used predict to mortality among critically ill inpatients at the Korle-Bu Teaching Hospital in Accra, Ghana.

OBJECTIVE

The aim of this study was to identify the predictive ability of MEWS for medical inpatients at risk of mortality and its comparability to a measure combining routinely measured physiologic parameters (limited MEWS [LMEWS]).

METHODS

We conducted a retrospective study of medical inpatients, aged ≥13 years and admitted to the Korle-Bu Teaching Hospital from January 2017 to March 2019. Routine vital signs at 48 hours post admission were coded to obtain LMEWS values. The level of consciousness was imputed from medical records and combined with LMEWS to obtain the full MEWS value. A predictive model comparing mortality among patients with a significant MEWS value or LMEWS ≥4 versus a nonsignificant MEWS value or LMEWS <4 was designed using multiple logistic regression and internally validated for predictive accuracy, using the receiver operating characteristic (ROC) curve.

RESULTS

A total of 112 patients were included in the study. The adjusted odds of death comparing patients with a significant MEWS to patients with a nonsignificant MEWS was 6.33 (95% CI 1.96-20.48). Similarly, the adjusted odds of death comparing patients with a significant versus nonsignificant LMEWS value was 8.22 (95% CI 2.45-27.56). The ROC curve for each analysis had a C-statistic of 0.83 and 0.84, respectively.

CONCLUSIONS

LMEWS is a good predictor of mortality and comparable to MEWS. Adoption of LMEWS can be implemented now using currently available data to identify medical inpatients at risk of death in order to improve care.
Peer Review of “In-hospital Mortality and the Predictive Ability of the Modified Early Warning Score in Ghana: Single-Center, Retrospective Study” (Preprint)
Authors: Sheets Lincoln
Published: July 2021

UNSTRUCTURED

This is a peer review report.
Does Xbox 360 Kinect training improve postural balance in young healthy adults? A preliminary study. (Preprint)
Authors: Grabowicz Marta , Daniluk Anna , Hadamus Anna , Białoszewski Dariusz
Published: July 2021

BACKGROUND

Balance training in young adults may increase coordination, cognitive function or the symmetry of strength on both sides of the body. It is an essential tool for injury or fall prevention and a precondition for becoming a professional athlete.

OBJECTIVE

The aim of this study was to assess the effect of Xbox 360 Kinect training on postural balance in young, healthy individuals.

METHODS

The study enrolled 75 individuals who were randomly assigned to three equal groups. The first group (Group VR) performed exercises on an Xbox 360 Kinect console, and the second group (Group T) performed conventional all-round exercises. The third group was a control group (Group C). Each group underwent balance assessments on the Biodex Balance posturographic platform, including the Balance Error Scoring System test, before and after the training cycle. The level of statistical significance was set at P<.05.

RESULTS

Group VR and Group T achieved statistically significant improvements in the sway index compared with baseline. Group T gained significant decrease in the sway index on the unstable surface (P=.002). Group VR and group T demonstrated significant decreases in the mean sway index on stable and unstable surfaces (group VR — P=.035; group T — P=.001) Group C did not achieve a statistically significant improvement in the sway index. None of the groups demonstrated a statistically significant decrease in the test error count.

CONCLUSIONS

Virtual reality in the form of video games played on an Xbox 360 Kinect console may be an effective method of balance training in healthy individuals.
Effects of a Nurse-Led Telehealth Self-care Promotion Program on the Quality of Life of Community-Dwelling Older Adults: Systematic Review and Meta-analysis (Preprint)
Authors: Wong Arkers Kwan Ching , Bayuo Jonathan , Wong Frances Kam Yuet , Yuen Wing Shan , Lee Athena Yin Lam , Chang Pui King , Lai Jojo Tsz Chui
Published: July 2021

BACKGROUND

In recent years, telehealth has become a common channel for health care professionals to use to promote health and provide distance care. COVID-19 has further fostered the widespread use of this new technology, which can improve access to care while protecting the community from exposure to infection by direct personal contact, and reduce the time and cost of traveling for both health care users and providers. This is especially true for community-dwelling older adults who have multiple chronic diseases and require frequent hospital visits. Nurses are globally recognized as health care professionals who provide effective community-based care to older adults, facilitating their desire to age in place. However, to date, it is unclear whether the use of telehealth can facilitate their work of promoting self-care to community-dwelling older adults.

OBJECTIVE

This review aims to summarize findings from randomized controlled trials on the effect of nurse-led telehealth self-care promotion programs compared with the usual on-site or face-to-face services on the quality of life (QoL), self-efficacy, depression, and hospital admissions among community-dwelling older adults.

METHODS

A search of 6 major databases was undertaken of relevant studies published from May 2011 to April 2021. Standardized mean differences (SMDs) and their 95% CIs were calculated from postintervention outcomes for continuous data, while the odds ratio was obtained for dichotomous data using the Mantel–Haenszel test.

RESULTS

From 1173 possible publications, 13 trials involving a total of 4097 participants were included in this meta-analysis. Compared with the control groups, the intervention groups of community-dwelling older adults significantly improved in overall QoL (SMD 0.12; 95% CI 0.03 to 0.20; P=.006; I2=21%), self-efficacy (SMD 0.19; 95% CI 0.08 to 0.30; P<.001; I2=0%), and depression level (SMD –0.22; 95% CI –0.36 to –0.08; P=.003; I2=89%).

CONCLUSIONS

This meta-analysis suggests that employing telehealth in nurse-led self-care promotion programs may have a positive impact on older adults, although more studies are needed to strengthen the evidence base, particularly regarding organization and delivery.

CLINICALTRIAL

PROSPERO (Prospective International Register of Systematic Reviews) CRD42021257299; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=257299
What are Digital Public Health Interventions? First Steps Toward a Definition and an Intervention Classification Framework (Preprint)
Authors: Wienert Julian , Jahnel Tina , Maaß Laura
Published: July 2021

UNSTRUCTURED

Digital public health is an emerging field in population-based research and practice. The fast development of digital technologies provides a fundamentally new understanding of improving public health by using digitalization, especially in prevention and health promotion. The first step toward a better understanding of digital public health is to conceptualize the subject of the assessment by defining what digital public health interventions are. This is important, as one cannot evaluate tools if one does not know what precisely an intervention in this field can be. Therefore, this study aims to provide the first definition of digital public health interventions. We will merge leading models for public health functions by the World Health Organization, a framework for digital health technologies by the National Institute for Health and Care Excellence, and a user-centered approach to intervention development. Together, they provide an overview of the functions and areas of use for digital public health interventions. Nevertheless, one must keep in mind that public health functions can differ among different health care systems, limiting our new framework’s universal validity. We conclude that a digital public health intervention should address essential public health functions through digital means. Furthermore, it should include members of the target group in the development process to improve social acceptance and achieve a population health impact.
Patient-Reported Experiences with Dialysis Care and Provider Visit Frequency
Authors: Brady Brian M. , Zhao Bo , Dang Bich N. , Winkelmayer Wolfgang C. , Chertow Glenn M. , Erickson Kevin F.
Published: July 2021

Background and objectives

New payment models resulting from the Advancing American Kidney Health initiative may create incentives for nephrologists to focus less on face-to-face in-center hemodialysis visits. This study aimed to understand whether more frequent nephrology practitioner dialysis visits improved patient experience and could help inform future policy.

Design, setting, participants, & measurements

In a cross-sectional study of patients receiving dialysis from April 1, 2015 through January 31, 2016, we linked patient records from a national kidney failure registry to patient experience data from the In-Center Hemodialysis Consumer Assessment of Healthcare Providers and Systems survey. We used a multivariable mixed effects linear regression model to examine the association between nephrology practitioner visit frequency and patient-reported experiences with nephrologist care.

Results

Among 5125 US dialysis facilities, 2981 (58%) had ≥30 In-Center Hemodialysis Consumer Assessment of Healthcare Providers and Systems surveys completed between April 2015 and January 2016, and 243,324 patients receiving care within these facilities had Medicare Parts A/B coverage. Face-to-face practitioner visits per month were 71% with four or more visits, 17% with two to three visits, 4% with one visit, and 8% with no visits. Each 10% absolute greater proportion of patients seen by their nephrology practitioner(s) four or more times per month was associated with a modestly but statistically significant lower score of patient experience with nephrologist care by −0.3 points (95% confidence interval, −0.5 to −0.1) and no effect on experience with other domains of dialysis care.

Conclusions

In an analysis of patient experiences at the dialysis facility level, frequent nephrology practitioner visits to facilities where patients undergo outpatient hemodialysis were not associated with better patient experiences.
Colour Detection of Agriculture Products for State Analysis
Authors: Banu Anees
Published: July 2021

The present market demands recognition of state analysis of an agricultural product automatically rather than conventionally checking the maturity stage and ripeness of an agricultural product which is mundane . In this project we are going to determine the state of an agricultural product using machine learning algorithm with the aid of colour detection. Image processing has been a great help in all kinds of fields which also extended its applicability in agriculture as well . Determining the maturity of an agricultural product at the right time will be very much helpful for the farmers . So by implementing this algorithm the colour as well as the state of the fruit will be determined automatically when we click on the image. Libraries we have used are open CV and Pandas which will help to work with images and the statistical data we are using to convert them into RGB colour models through different functions in the jupyter notebook platform. The two important parts in a project are the prepossessing and the state analysis stages. Firstly, the pre-processing stage determines the colour by calculating the distance to tell how close we are to the actual colour and we will choose the one which has the minimum distance. The second stage is mainly to classify the ripeness and state of an agricultural product. This technique also finds its application in detecting synthetic colours in the edible products . Colour detection is the initial set in any image processing technique. In the future it helps the cashier to determine the quality of the agricultural product effectively and quickly by reducing the effort they put in the traditional method .
Students Competency level Prediction
Authors: Kadam Prof. Sonali
Published: July 2021

Companies always thrive to achieve best whether that be in the quality they offer or the freshers they recruit. Organizations recruit students who are effective and efficient in work and they have different techniques to determine this. This ability of being effective and efficient is known as competency. Various researchers have understood its importance and defined Competence from time to time. According to [1]Chan and her team (the University of Hong Kong)(2019) has defined competency as- the holistic competency is an umbrella term inclusive of different types of generic skills (e.g. critical thinking, problem-solving skills), positive values and attitudes (e.g. resilience, appreciation for others) which is essential for a student's life long learning and whole person development. Knowing one's Competency level is not an easy task. It needs a 360 degree view to understand it. Till now there is not a specific way of determining it. And graduates don’t know their competency level until they face the recruitment process. Knowledge of competency level at an early stage is necessary for students to improve and invest their time to become more competent so as to get a job in their core field. To overcome this problem we are designing a system which would predict the competency level of the computer science engineer and related graduates. To build this system we are using unsupervised machine learning algorithms. The predicted competency level could be used by students to understand how hard they need to work so as to get a job in their core field.
Covid-19 Detection using Deep Learning
Authors: Reddy M. Srilekha
Published: July 2021

Recently, the virus (COVID-19) has spread widely throughout the world and has led to the examination of large numbers of suspected cases using standard COVID-19 tests and has become pandemic. Everyday life, public health and the global economy have been destroyed. The pathogenic laboratory tests such as Polymerase chain reaction (PCR) take a long time with false negative results and are considered the gold standard for diagnosis. Therefore, there was an urgent need for rapid and accurate diagnostic methods to detect COVID-19 cases as soon as possible to prevent the spread of this epidemic and combat it. Applying advanced artificial intelligence techniques along with radiography may be helpful in detecting this disease. In this study, we propose a classification model that detect the infected condition through the chest X-ray images. A dataset containing chest x-ray images of normal people, people with pneumonia such as SARS, streptococcus and pneumococcus and other patients with COVID- 19 were collected. Histogram of oriented gradients (HOG) is used for image features extraction. The images are then classified using Support Vector Machines (SVM), random forests and K- nearest neighbours (KNN), with classification rate 98.14%, 96.29% and 88.89% respectively. These results may contribute efficiently in detecting COVID-19 disease. The input dataset is taken from Kaggle which provides the dataset to analyse and helps to get the best possible solutions from the set of problems. Kaggle is launching a companion COVID-19 forecasting challenges to help answer a subset of the NASEM/WHO questions. While the challenge involves forecasting confirmed cases and fatalities between April 1 and April 30 by region, the primary goal isn't only to produce accurate forecasts. It’s also to identify factors that appear to impact the transmission rate of COVID-19.
Machine Learning Model for Stock Market Prediction
Authors: Patil Dr. S. T.
Published: July 2021

: In recent time’s stock market predictions is gaining more attention, maybe due to the fact that if the trend of the market is successfully predicted, the investors may be better guided. A stock exchange is a system where you can buy and sell stocks. By stock we mean the share in the ownership of the company. Companies buy stocks to get the money they need to grow. Whereas people buy the stocks, also called as securities as investment or ways of possibly earning money. A stock Market Prediction model will help people to predict particular company’s stock price before they want to invest. This system will help people to invest wisely.
Frictionless Energy Generation using Flywheel
Authors: G. Desai Prasad
Published: July 2021

The intention of this project is to build a straight forward human powered generator from a used bicycle and to use it to power light bulbs, cell phones, laptops, and other small appliances. This project will help to develop engineering skills while learning about a clean way of generating electricity and satisfying our basic requirement. We are going to use the hard drive magnet and inductive coil to generate electricity due to which our mobile phone will be charge and followed by ac to dc converter. This is totally clean way of generating energy. As fuel is not a renewable energy source and the prices are increasing day by day. It will not be affordable by a common man after some period. Here no fuel is required to generate electricity, so everybody can afford this method for power generation also it eliminates the emission of CO2 which will reduces the pollution. Conventional methods for generating electricity make use of dynamo and wind turbine, but they have disadvantage that they produce friction and reduces speed which require more efforts. For the project to work we need strong electromagnets so we have used Neodymium magnets and also used coil. The basic idea of this project comes from the functioning of motor, that is how it rotates in the magnetic field and cut’s the magnetic line and how flux is introduced into the coil. The motivation behind the project is to generate electricity without having any friction and without using natural resources.
Review on Desalination of Water using Different Solar Still Techniques
Authors: Agrawal Dharmesh
Published: July 2021

Solar still (SS) technology is one of the economic technologies for the conversion of saline or impure water to pure form. It is proven technique for the removal of hazardous chemicals such as arsenic, fluoride etc. Solar still can become very useful and eco-friendly process in rural and remote areas suffering from acute water crisis due to contamination of ground water and other manmade problems. In this work, we have studied different methods of desalination of water using solar still. The work discusses modifications in solar still, heat absorbing factors, reflectors, use of solar panel, trays, solar collector, nanofluid, condenser. This paper presents a mini review on single slope solar distiller by incorporating various different methods. Based on study, sensible conclusion is drawn and reported.
Review on Design & Development of Go-Kart Steering System
Authors: Yadav Prasad Pratap
Published: July 2021

Go-kart is one of the motor sports where racing of bunch of vehicles are compete each other. This paper is written after completion of manufacturing and complete assembly. Following paper consist of diagrams, calculations and results from actual models of steering and electrical systems. Steering system is one among crucial areas in designing of go kart as even the slightest of improvement in response of this technique could reduce the lap time and help to succeed in the driving force beyond the finishing line to win an edge. Thus, steering has got to be reliable enough such the driving force could have the entire control over the kart even within the toughest tracks. On the other hand, any failure in system could lead to serious injury or loss to the driver and the team. This paper is written with an aim to enhance a steering mechanism of go kart and overall responsiveness and control. This paper covers most of the concepts of steering mechanism of knowledgeable go kart. With the assistance of this paper one could understand and manufacture complete steering assembly individually. The paper consists of theory, formulae, calculations, diagrams and simulation results which give top to bottom understanding of knowledgeable go kart steering mechanism.
A Novel Technique to Remove Duplicacy from Cloud
Authors: Verma Neha
Published: July 2021

Cloud Computing is one of the most emerging technology, which helped several organizations to save time, resources and money by adding convenience to the end users. This project deals with removing duplicate data on cloud to save storage. The continuous development of the information technology and the requirement to make the data available for anytime and anywhere purpose, makes it necessary to remove duplicate files form the storage area to maximise storage. After uploading a particular file, the system crosschecks the data, and it will keep it inside the user's bucket on cloud if the data is new. This proposed method is more secure and utilizes less resources of cloud. Otherwise, the system will not keep the data if it’s already there. The main concept of this technology is to reduce duplicate data as much as possible using Hashing technique.
Early Detection of Diabetic Retinopathy
Authors: Sowjanya P. L. N.
Published: July 2021

Diabetic retinopathy is one of the prevalent reasons of sight impairment in this day and age According to an epidemiology study, diabetic retinopathy affects one out of every three diabetics. In today's world, disease diagnosis is an essential part of medical imaging. In medical imaging, machine learning gives a greater vision for detecting disease. The objective is to detect diabetic retinopathy using ML. Machine learning in medical imaging could speed up and enhance the detection of sight caused by sugar. In order to detect diabetic retinopathy quickly and support the health-care system, this study will look at several machine learning methodologies, algorithms, and simulations. CNN is used to train the model.