bluuebunny/crossref_metadata_2025 huggingface dataset:
A New Hybrid CNN-LSTM Model with Non-SoftMax Functions for Face Spoof Detection
Authors: Kumar S Lokesh , Asish Yamani Sai , Ganapathy Sannasi
Published: August 2021

Recently, the emerging applications such as banking, mobile payments, face recognition technology are gradually booming and also increases the users count around the world. The extensive deployment of facial recognition systems has drawn close attention to the dependability of facial biometrics in the fight against spoof attacks, in which a picture, video or 3D mask of a real user's face may be used to access facilities or services illegitimately. While a number of anti-spoofing or liveness detection approaches (which identify whether a face is live or spoof when captured) were suggested, the problem is still unresolved because of the difficulty in discovering discriminatory and computer-cost characteristics and techniques for spoof assaults. Existing methods also utilise a full picture or video to determine luminosity. Often though, some facial areas (video frames) are redundant or relate to the confusion of the picture (video). In this paper, we propose a new hybrid deep learning technique called Hybrid Convolutional Neural Network (CNN) based architecture with Long Short-Term Memory (LSTM) units to study the impact in classification. In this technique is applied a non-softmax function for making effective decision on classification. The hybrid approach is implemented followed by a comparative analysis with existing conventional and hybrid techniques used for spoof detection. The proposed model is proved as better than the existing deep learning techniques and other hybrid models in terms of precision, recall, f-measure and accuracy.
Detection of lung cancer using Ten Convolutional Neural Network Models based modified co-learning technique in PET/CT image
Authors: Kishore R. , Babu R. Suresh
Published: August 2021

Background: A proposed Lung Cancer Detection System (LCDS) faces a major issue due to low spatial resolution in Positron Emission Tomography (PET) and low contrast in Computed Tomography (CT). However, radiologists are unable to notice lung nodules during the beginning stage of lung cancer.Method: Such an issue has been resolved by creating a modified co-learning technique which will be based on ten Convolutional Neural Network (CNN) models (Alexnet, VGG16, VGG19, Squeezenet, Googlenet, Inceptionv3, Mobilenetv2, Densenet201, Resnet18, Xception). This technique encodes modality specific features and utilizes them to acquire a spatially varying fusion map. These fusion maps are multiplied using a modality feature map for an utilization of image analysis.Result: A proposed LCDS attained 90 % sensitivity, 99.25% accuracy and 2.4 false positives per scan. By utilizing modified co-learning technique, our proposed LCDS attained 94.165 % sensitivity, 99.40 % accuracy and 1.6 false positives per scan in PET/CT.Conclusion: Our proposed LCDS attained tremendously minimum false positive rate and it is a promising technique in support of cancerous recognition due to improved sensitivity and accuracy.
Forest migration outpaces tree species range shift across North America
Authors: Abbasi Akane , Woodall Christopher , Gamarra Javier , Ochuodho Thomas , de-Miguel Sergio , Sahay Rajeev , Fei Songlin , Paquette Alain , Chen Han , Catlin Ann Christine , Liang Jingjing
Published: August 2021

Mounting evidence suggests that geographic ranges of tree species worldwide are shifting under global environmental change, but little is known about forest migration—the shift in the geographic ranges of forest types—and how it differs from individual tree species migration. Here, based on in situ records of more than 9 million trees from 596,282 sample plots, we quantified and compared the migration patterns of forests and tree species across North America between 1970 and 2019. On average, forests migrated at a mean velocity of 205.2 km per decade, which is twice as fast as species-level migration (95.6 km per decade), and 12 times faster than the average of previous estimates (16.3 km per decade). Our findings suggest that as subtle perturbations in species abundance can aggregate to change an entire forest from one type to another, failing to see the forest for the trees may result in a gross underestimation of the impacts of global change on forest ecosystem functioning and services. With the first forest classification and quantification of forest migration patterns at a continental level, this study provides an urgently needed scientific basis for a new paradigm of adaptive forest management and conservation under a rapid forest migration.
Studies on the Mechanical Properties of C45 Steel with Martensitic Structure after a High Tempering Process
Authors: Zajac Pawel , Woźniak Waldemar , Sasiadek Michał
Published: August 2021

The authors have requested that this preprint be removed from Research Square.
Water management for industrial development, energy conservation, and subjective attitudes: a comprehensive risk-oriented model to explore the tolerance of unbalanced allocation problem
Authors: Yu Yangping , Xie Yulei , Ji Ling , Zhang Jinbo , Cai Yanpeng , Yang Zhifeng
Published: August 2021

In this study, a new concept concerning comprehensive characteristics of water resources utilization as an index for risk modeling within the water allocation management model is proposed to explore the tolerance of unbalanced allocation problem under the water–energy nexus. The model is integrated with interval two-stage stochastic programming for reflecting system uncertainties. These uncertainties are associated with the industrial production feature and the decision-making process. With respect to the water–energy nexus, energy proposed is mainly focused on the consumption intensity of water purification and transportation from different water sources. The developed model is applied for industrial water resources allocation management in Henan province, China. Multiple scenarios related to disparate energy consumption control and the comprehensive risk levels are simulated to obtain a reasonable trade-off among system profit, comprehensive risk, and energy consumption. The results indicated that the strict comprehensive risk management or energy consumption control measures could cause damage to system benefit owing to decreasing the flexibility of industrial water resources distributions, and the preliminary energy consumption or the comprehensive risk control would be beneficial to moderate the conflict between industrial sectors and water resources, and accelerate industrial structure transformation in the future.
La investigación escolar en educación básica para el desarrollo de competencias científicas en docentes
Authors: Luján-Villegas Diego Mauricio , Londoño-Vásquez David Alberto
Published: August 2021

Este artículo presenta la investigación escolar como una estrategia didáctica y metodológica en educación básica para el desarrollo de competencias científicas en docentes, puesto que requiere de la indagación, el fortalecimiento del pensamiento y la actitud crítica de ellos frente a sus prácticas en el aula. Aquí las competencias científicas se refieren a un proceso que permite entender la teoría desde una visión humanista con propósitos ciudadanos y participativos. Esto permite que se dé una formación que responda tanto a la teoría como a la práctica, de forma flexible, contextualizada y significativa, e impacta en sus participantes, no solo en lo disciplinario, sino en el desarrollo de competencias científicas que benefician su participación en la sociedad. Así, la investigación en la escuela se sale de lo curricular y se gesta desde las realidades y condiciones sociales y culturales de los implicados.
Inteligencias múltiples de los estudiantes de matemática y física de la Universidad Nacional Hermilio Valdizán, Perú
Authors: Cámara-Acero Andrés , Rojas-Cortina Amancio Ricardo , Trujillo-Atapoma Pio , García-Yale Fidel Alberto , Guzman-Soto Doris Gioconda
Published: August 2021

El presente estudio tuvo como objetivo analizar los niveles del perfil de inteligencias múltiples de los estudiantes de la Escuela Profesional de Matemática y Física de la Universidad Nacional Hermilio Valdizán de la ciudad de Huánuco, Perú. Para ello se desarrolló una investigación no experimental descriptiva con una muestra no probabilística de 87 estudiantes de los ciclos I, III, V, VII y IX de las especialidades matemáticas y física de la Facultad de Ciencias de la Educación. Al grupo en estudio se le aplicó el test psicométrico de inteligencias múltiples que consta de 80 preguntas, basado en la propuesta de Armstrong. Los datos obtenidos se procesaron de manera descriptiva mediante tablas y gráficas, con la finalidad de observar y analizar los niveles de desarrollo de cada inteligencia. Los resultados muestran que el perfil de inteligencias múltiples de los estudiantes de la Escuela Profesional de Matemática y Física analizados es muy satisfactorio en lógica matemática, satisfactorio en espacial, interpersonal y naturalista, y poco satisfactorio en corporal kinestésico, lingüístico verbal, musical e intrapersonal.
Perdón-arte: una experiencia de educación para la paz desde las voces de niños y niñas en situación de vulnerabilidad
Authors: Oviedo Córdoba Myriam , Fernández-Cediel Miryam Cristina
Published: August 2021

La educación para la paz se ha instituido como alternativa para superar la guerra y la violencia. Aunque es un lugar común, la idea según la cual la educación para la paz no ha logrado incidir en la reducción de la violencia, también es claro que este campo, aún en desarrollo, representa un camino para lograr un mejor vivir. Desde esta perspectiva se abordó la tarea de construir una propuesta pedagógica con niños, niñas y jóvenes en situación de vulnerabilidad, orientada a la formación en paz, perdón y reconciliación en y para ambientes no escolarizados, razón por la cual no se incluye en el marco de la cátedra de paz instituida por el gobierno nacional. Metodológicamente, este estudio tuvo un enfoque participativo, con un diseño de Investigación, Creación e Innovación. Se trabajó con 45 niños y niñas de la ciudad de Neiva vinculados a programas de formación artística relacionados con la música, en diferentes niveles instrumentales, y las artes escénicas. Como técnica de recolección de datos se emplearon la observación participante, las entrevistas abiertas y los grupos focales. El análisis temático de la información permitió identificar los momentos, temas y principios pedagógicos que configuran la propuesta denominada Perdón-arte.
Agravios morales y luchas por el reconocimiento: reflexiones en el contexto educativo
Authors: Castro Robles Yury Andrea
Published: August 2021

Este artículo analiza la teoría de Honneth acerca de los agravios morales y las formas de reconocimiento en el campo educativo, con el fin de ampliar la comprensión conceptual de las fuentes motivacionales que conducen a luchas del reconocimiento. Así mismo, busca ampliar la idea de Honneth en la que se sostiene que la ausencia del reconocimiento es propulsora de otras violencias, en este caso, en el marco de las experiencias de los jóvenes universitarios. Por tanto, este artículo indaga cómo estas reflexiones han sido trabajadas y pensadas en el contexto educativo, desde tres marcos de comprensión: 1) la fundamentación epistemológica del reconocimiento en la relación institucional, comunitaria e individual; 2) el reconocimiento en la escuela desde una perspectiva ética; y 3) las acciones empíricas en contextos sociales de los conceptos teóricos del reconocimiento y agravios morales. En suma, el artículo amplía el marco de comprensión teórica de las formas de reconocimiento y agravios morales en el contexto educativo, lo que permite comprender que los menosprecios y humillaciones en el contexto de los jóvenes universitarios no solo pueden hacer problemático el proceso educativo, sino también pueden ser mecanismos de accionar distintas formas de violencias.
Cuidado de enfermería en la promoción de la salud mental durante el desarrollo humano
Authors: González Noguera Tatiana Cecilia , Ramos de la Cruz Ediltrudis , Acosta Salazar Diana
Published: August 2021

“El cuidado de enfermería en la promoción de la salud mental durante el desarrollo humano” es un texto guía dirigido a enfermeras (os) en formación para fortalecer sus competencias profesionales en el cuidado de la salud mental, guiándolas para que lleguen a ser cuidadoras holísticas, humanizadas, dinámicas e integradas al trabajo interprofesional. Para cumplir con este cometido se incluyen temas en salud mental sobre su promoción y fomento de estilos de vida saludables, cuidados específicos de enfermería para los abordajes terapéuticos, articulados al conocimiento disciplinar desde las teorías de enfermería y la aplicación del proceso enfermero como herramienta fundamental del cuidado. Para facilitar su utilización por parte del docente y del estudiante cada uno de los capítulos se complementa con guías y talleres para el cuidado a la persona, familia y comunidad. Este texto es el producto de recopilaciones de diferentes teóricos y las metodologías expuestas han sido utilizadas y evaluadas durante los diferentes procesos educativos. Como autores de este compendio manifestamos el deseo de compartir nuevos conceptos y nuevas formas de acción, creyendo en la cohesión de esfuerzos y voluntades, a partir de la integración de compromisos y metas para el crecimiento personal y profesional en enfermería.
The Influence of Practising Physical Activity on the Prevention and Treatment of Gestational Diabetes: A Systematic Review
Authors: Leirós-Rodríguez Raquel , Rodríguez-Martínez Carla
Published: August 2021

Background:

During pregnancy, maintaining an inadequate lifestyle (bad eating habits,
stress, consumption of toxic substances, etc.) generates complications such as pre-eclampsia, overweight,
lumbar pain and Gestational Diabetes.

Objective:

This review was carried out with the objective to determine the influence of practising
physical activity on the prevention and treatment of Gestational Diabetes; and to evaluate the efficacy
of interventions based on therapeutic exercise in the management of such diseases.

Method::

A systematic review of the publications of the last five years in Medline, Pubmed, Web of
Science and Cinahl databases was conducting with the terms Exercise and Gestational Diabetes.

Results:

25 articles were found, 9 were observational studies that analysed physical activity habits
through questionnaires, and other 16 applied an intervention. With respect to the frequency of the
sessions, most of these studies applied their interventions three times per week, with all of them obtaining
positive results. Regarding intensity, all the studies that referred to it concluded that it must
be at least moderate, highlighting that, at all times, the limitations of pregnant women must be taken
into account.

Conclusion:

Both for the prevention and treatment of this disease, the physical activity must be performed
for a minimum of three times per week, at least in moderate intensity, and must be based
on aerobic, resistance and strength exercises.
iAnt: Combination of Convolutional Neural Network and Random Forest Models Using PSSM and BERT Features to Identify Antioxidant Proteins
Authors: Tran Hoang V. , Nguyen Quang H.
Published: August 2021

Background:

Reactive Oxygen Species (ROS) play many roles in the body, such as cell signaling,
homeostasis, or protection from harmful bacteria. However, an excess of ROS in the body will
damage lipids, proteins, and DNA. Many studies have shown that various environmental factors increase
the amount of ROS produced in the body. Antioxidant proteins are responsible for neutralizing
these ROS or free radicals. Although the amount of data on protein sequences has increased over the
last two decades, we still lack bioinformatics tools to be able to accurately identify antioxidant protein
sequences. Furthermore, biochemical methods to determine antioxidant proteins are very expensive and
time-consuming. Therefore, a machine learning approach must be used to speed up the computation.

Methods:

In this study, we propose a new method that combines a convolutional neural network and Random
Forest using two features, the normalized PSSM and the best-selected feature of the ProtBert output.

Results:

Our model gave very good results on the independent test dataset with 97.3% sensitivity and
95.9% specificity. Comparison with current state-of-the-art models shows that our model is superior.
We have also installed iAnt as an online website with a friendly interface available at a website: http:
//antixiodant.nguyenhongquang.edu.vn.

Conclusion:

iAnt has been developed to accurately identify the antioxidant protein. It shows results
outperforming the existing state-of-the-art methods; it is also available online.
Concomitant use of Tyrosine-Kinase Inhibitor and Mepolizumab in Asthma
Secondary to Chronic Myeloid Leukemia with Hypereosinophilia
Authors: Gidaro Antonio , Salvi Emanuele , Carraro Maria Cristina , Rossi Roberta Simona , Castelli Roberto
Published: August 2021

Introduction:

Asthma and hypereosinophilia have been treated with different therapeutics
in the past. Some of them appear to be more effective in symptoms resolution and decreasing
eosinophilic count.

Case Presentation:

We report here an unusual case of asthma with hypereosinophilia secondary to
Chronic Myeloid Leukemia (CML) with high prevalence of eosinophilic infiltrate, treated simultaneously
with an anti-IL-5 antibody (Mepolizumab) and Tyrosine-kinase Inhibitors (TKI: Imatinib
and Bosutinib) for three years. The patient showed a promising reduction of pulmonary exacerbations
and good control of CML without developing side effects.

Conclusion:

We hope that this finding could inspire further studies on the efficacy and safety of
the concomitant use of anti-IL-5 and TKI.
Investigation of Artificial Ageing of PVC Stabilized with Epoxidized Sunflower Oil as Biobased Derivative
Authors: Gallouze Nadia , Belhaneche-Bensemrab Naima , Commereuc Sophie , Verney Vincent
Published: August 2021

Objective:

The objective of this work is to study the artificial ageing of semi-rigid and
plasticized polyvinyl chloride (PVC) stabilized with epoxidized sunflower oil (ESO) as a biobased
derivative in combination with zinc and calcium stearates.

Methods:

For comparison, a formulation of PVC plasticized and stabilized with epoxidized soya
bean oil (ESBO) was considered. Artificial ageing was carried out during the 304 hours. Samples
were taken off after: 48, 146, 234 and 304 hours and then characterized. The evolution of density,
glass transition temperature and morphology, was followed as a function of the time. The structural
modifications of polymer were analyzed by Fourier transform infrared spectroscopy in attenuated
total reflectance and transmission modes.

Results:

The results showed a little decrease of density, a considerable increase of the glass transition
temperatures values and a change of morphology. All changes in the properties of PVC relate
to formation of new chemical structures.

Conclusion:

Globally, it was found that ESO exhibited similar performances to those of ESBO.
Suitability of Ferrites for Biomedical Applications
Authors: Dhiman M.
Published: August 2021

This chapter aims at the latest amelioration in the biomedical application of spinel ferrites. Magnetic hyperthermia treatment of tumour cells and contrast resonance imaging of human body parts, are a few applications of spinel ferrites that have gained substantial interest nowadays. The thermo-therapeutic and radiology based diagnosis treatment has many benefits over traditional methods used for disease diagnosis and imaging treatment of chronic carcinogenic origin diseases. The various types of doped and undoped spinel ferrite nanoparticles are investigated and optimised for different biomedical applications. Through this chapter, an attempt is made to provide readers the knowledge about various required characteristics and latest used strategies for the successful implementations of spinel ferrite in biomedical applications at commercial levels.
Spinel Ferrite Based Nanomaterials for Water Remediation Application
Authors: Jasrotia R.
Published: August 2021

The decreasing levels of consumable water on earth have been a serious issue and this issue makes the researchers and scientists develop new technologies for the purification of polluted water. Several reports have been carried on wastewater remediation by utilizing spinel ferrite-based nanoparticles and their composites. The spinel ferrites-based nanoparticles utilized for wastewater treatment was cost effective, chemically stable, easily retrieved and reusable. The present work addresses the various fabrication techniques for the preparation of spinel ferrite-based nanoparticles and their utilization for the removal of organic and inorganic pollutants through the adsorption paths.
SEVERAL FACTORS THAT AFFECT CATTLE ROWING PATTERNS AS WELL AS THEIR CONTRIBUTION TO HOUSEHOLD INCOME (CASE STUDY OF LIVESTOCK FARMERS IN TAEBENU SUBDISTRICT, KUPANG REGENCY, NTT)
Authors: Nifu Salden E , Koestiono Djoko , Toiba Hery
Published: August 2021

This study aims to analyze several factors that affect cattle rowing patterns as well as their costs, receipts and contributions to the household income of livestock farmers in Taebenu Subdistrict, Kupang Regency, NTT. The research sample of 100 people was grouped into two groups: group I (50 row cattle farmers) and group II (50 non-row cattle farmers). Determination of the number of farmer samples follows slovin formula with random sampling method. Data on factors that influence the decisions of farmers' households are analyzed with binary logistics regression analysis. Meanwhile, the income of cattle farmers and non-rowdy cattle was analyzed by household income analysis. The results showed that the analysis of binary logistics regression using simultaneous tests showed that independent variables (X) namely X1, X2, X3, X4, X5, X6 significantly influenced dependent variables (Y). The average household income of cattle farmers rowdy pattern is Rp 13,327,080 with the contribution of income from the business of cattle rowing by 21.93%, while the average household income of non-rowdy cattle farmers (privately owned) Rp 12,820,488 with the contribution of income from non-row cattle businesses amounted to 22.93%. From the results of household income shows the household income of cattle farmers row pattern higher than the household income of non-row cattle farmers (privately owned).
AN ANALYTICAL ASSESSMENT OF POULTRY INDUSTRY AND ADOPTION OF POTENTIAL VALUE ADDITION INTERVENTIONS IN BY-PRODUCT PROCESSING TO ENHANCE PROFITABILITY – IBADAN, OYO STATE, NIGERIA
Authors: Ayo-Bello Taofeek Ayodeji , Afodu Osaige John , Ogunleye Tolulope , Ndubuisi-Ogbonna Lois , Omoniyi Jesubukunmi
Published: August 2021

The need to diversify the Nigerian economy calls for value chain development of the agricultural and livestock sector. The main purpose of the study is to seek additional source of income for poultry producers through the processing of selected poultry by-products in the study area. A baseline study of poultry enterprises was carried out in Ibadan, Oyo State, Nigeria using a purposive sampling technique. A structured questionnaire was used in the collection of data and data collected was analyzed using descriptive statistics, gross margin analysis and Logit regression. The result showed and exhibited a gross margin ratio of 82.9% indicating profitability of enterprise. The regression result revealed that the adoption of poultry by-products processing was by different factors at different level of significance in organic fertilizer was influence. The study revealed that the respondents ranked high cost of machineries (25%) as the major problem encountered by them. It was recommended that awareness should be intensified on management poultry by-products; encouragement of Public-Private Partnership (PPP), towards the provision of adequate infrastructure need for commercialization of poultry by-products processing in Nigeria.
ANALYSIS OF COMPETITIVENESS AND EXPORT TRENDS OF INDONESIAN COCOA TO THE FIVE DESTINATION COUNTRIES FOR 2010-2019
Authors: Augustin Nabilla Pratya , Prasetyo Edy , Santoso Siswanto Imam
Published: August 2021

This study aims to analyze the competitiveness of Indonesian cocoa exports to five destination countries, namely China, Germany, Malaysia, Singapore, and USA and to analyze the trend of Indonesian cocoa exports for the forecasting of the next 5 years. The data source used is secondary data in the form of export value and volume from 2010-2019 which is sourced from uncomtrade. Data analysis methods used are RCA, EPD, and linear trend analysis. The results showed that the comparative analysis of the RCA method for the commodities of Indonesian cocoa beans, cocoa butter, cocoa paste, cocoa powder in 2010-2019 has an RCA > 1 which means that it is competitive and has a comparative advantage in destination countries. Based on a competitive analysis using the EPD method, the commodity of Indonesian cocoa beans, cocoa butter, cocoa paste, and cocoa powder in 2010-2019 have EPD retreat and falling star values. Based on linear trend analysis, the export value of Indonesian cocoa beans in 2020-2024 is predicted to continue to decline, cocoa butter and cocoa powder in 2020-2024 is predicted to continue to increase, and cocoa paste in 2020-2024 is predicted to increase and later decrease.
ANALYSIS INFLUENCE RELATIONSHIP OF INTERNAL AND EXTERNAL ON STRATEGY AND SUSTAINABLE SUPPLY CHAINS MANAGEMENT ON OPERATIONAL PERFORMANCE OF FOOD AND BEVERAGES AGRO-INDUSTRIES
Authors: Sari Dina Kartika , Koestiono Djoko , Shinta Agustina
Published: August 2021

This research examines the influence of the relationship between internal and external factors on operational performance, beforehand an effective strategy supply chain management is needed to improve operational performance as a core strategic competency for better competitive advantage but companies need to evaluate actions that have environmental impacts, it is necessary practice sustainable supply chain management in a business. SEM-PLS analysis to examine the effect of the relationship between internal and external factor using a sample of 100 food and beverage agro-industries in the Province of East Java. The results showed that internal and external factors have a positive and significant effect on supply chain management strategy while on operational performance, although the influence of internal factors cannot be direct and external factors have a direct influence on operational performance, the practice sustainable supply chain management also has a direct effect as a mediating variable, between supply chain strategy variables on operational performance. This research is not only to find the right strategy for the food and beverage agro-industries but also to develop research on the importance of sustainable supply chain management practices in the food and beverage agro-industries.
La administración repetida de vacuna autógena disminuye la papilomatosis en hembras bovinas
Authors: Ponce-Covarrubias José L. , Pineda-Burgos Blanca C. , Hernández-Ruiz Pedro E. , Valencia-Franco Edgar , Vicente-Pérez Ricardo , García-y-González Ethel Caterina
Published: August 2021

Objetivo. El presente estudio tuvo como objetivo evaluar el control de la papilomatosis bovina (PB) con vacuna autógena en condiciones del trópico de Guerrero. Materiales y métodos. En el experimento se usaron 18 hembras bovinas que fueron divididas en tres tratamientos de acuerdo al rancho (6 hembras/grupo). Tratamiento 1 (T1-inmunovacuna), tratamiento 2 (T2-histovacuna) y tratamiento 3 (T3-plasmaterapia). Resultados. Al inicio del estudio se encontró una alta incidencia de papilomas en las hembras bovinas [(T1 (190 papilomas), T2 (95 papilomas) y T3 (100 papilomas)]. Con la administración de la vacuna autógena disminuyó significativamente (T1 y T3) el número de papilomas a través de las aplicaciones de la 1 (147 y 66 papilomas) a la 5 (10 y 9 papilomas); (p<0.05). También existió una diferencia significativa entre tratamientos de acuerdo al periodo de aplicación de la vacuna (3 a la 5) disminuyendo el número de papilomas (efecto periodo; p<0.05). Por su parte, se observó una interacción tratamiento x periodo disminuyendo el número de papilomas en la cuarta y quinta administración (T1 y T3; p<0.05). Conclusiones. La administración repetida de la vacuna autógena en las hembras bovinas disminuyó el número de papilomas entre la cuarta y quinta aplicación en los tratamientos 1 y 3.
Management and Successful Desensitization in a Patient with Abatacept-Induced Anaphylaxis
Authors: Bilgir Ferda , Kabadayı Gökhan , Akar Servet
Published: August 2021

ABSTRACT Abatacept is a fusion protein that blocks T cell activation. It is used in a variety of conditions including organ transplantation, immune deficiency, and autoimmune diseases. Even though abatacept-induced adverse events are observed, hypersensitivity reactions are rare. Desensitization protocols that can be implemented in the case of hypersensitivity reactions are present in the literature for many biological agents. However, a desensitization protocol for abatacept has not yet been established. Our patient, who was started on one of the biological agents, abatacept, for rheumatoid arthritis due to insufficient response to disease- modifying antirheumatic drugs, developed immediate hypersensitivity reaction with the first dose. Since it was planned to continue the treatment, abatacept desensitization was performed. The rapid desensitization protocol performed with prior premedication was successful and the patient was able to receive subsequent doses of abatacept using the same protocol. Keywords: Abatacept, anaphylaxis, desensitization
The Role of Skin Tests and Premedication in Radiocontrast Media Hypersensitivity: A Clinical Dilemma
Authors: Can Bostan Özge , Çakmak Mehmet Erdem , Kaya Saltuk Buğra , Damadoğlu Ebru , Karakaya Gül , Kalyoncu Ali Fuat
Published: August 2021

ABSTRACT Objective: Controversies continue over the diagnostic approach, prediction, and premedication in radiocontrast media (RCM) hypersensitivity. One of the most important problems encountered in daily clinical practice is that patients do not recall which contrast agent has been used in previous exposures. Also, in most cases, the details of the reaction have not been recorded. Therefore, difficulties are experienced in decision-making about skin testing and premedication in patients who are suspected of RCM hypersensitivity. To assess the clinical value of skin tests and premedication in RCM hypersensitivity. Materials and Methods: A retrospective evaluation was made of the medical records of patients between October 2014 and December 2019. The skin tests were performed with the culprit agent if it was known, otherwise, with iohexol, one of the most commonly used RCM in Turkey. As premedication, oral methylprednisolone 40 mg 13-7-1 hours before the procedure and oral pheniramine 22.7 mg 1 hour before the procedure were prescribed. Results: A total of 41 patients were evaluated (32 females and 9 males). Of the reactions, 35 (85.4%) were immediate and 6 (14.6%) were non-immediate. Three (7.3%) had a positive intradermal test result. It was determined that 20 patients (17 immediate, 3 non- immediate), required imaging with RCM again. Of these, 18 received premedication and two did not, although it was recommended. Of the patients who received premedication, one (5.5%) had an urticarial reaction of the same grade, while both patients (100%) who did not receive premedication developed an immediate allergic reaction that was of a similar grade to that of the previous reaction. Conclusion: Skin test positivity for RCM was observed at low rates. In cases with negative skin tests and when the culprit drug cannot be identified, re-exposure to alternative RCM under premedication may reduce the risk of the reaction. Keywords: Allergy, iodinated contrast media, iobitridol, iohexol, premedication
The Association Between Paranasal Mucous Retention Cysts and Allergic Sensitization
Authors: Ustabaş Kahraman Feyza , Yazıcı Mebrure , Büyükpınarbaşılı Nur , Soylu Nihal , İşcan Akın , Özkaya Emin
Published: August 2021

ABSTRACT Objective: Although there is no consensus regarding the etiology of paranasal mucous retention cysts (MRCs) in the literature, several studies suggest an allergic etiology. This study aimed to investigate a potential association between paranasal MRCs diagnosed with MRI scans and allergic sensitization in the pediatric population. Materials and Methods: A total of 4559 MRI scans were retrospectively evaluated for MRC in patients who presented to the pediatric neurology outpatient clinic with headache complaints. Fifty children with MRI findings conclusive for paranasal MRC and 50 children without such findings were included in the study. All study and control patients were invited for atopy/allergy evaluation. Total IgE measurements, blood eosinophil levels, nasal smear and skin prick tests were performed to evaluate the allergic status of the children. In addition, an allergic rhinitis symptom questionnaire was administered. Results: The mean age was 13.0±2.8 years (median 14 y, range 6-18 y) with a female-to-male ratio of 1.4:1 in the study group. The prevalence of MRC was found to be 1.1% (50 in 4559). The two groups did not differ with regard to the frequency of blood eosinophilia, nasal eosinophilia, serum IgE levels, and allergic rhinitis symptom severity (p>0.05). Positive skin test for at least one of the allergens tested was more common in the MRC group than the controls (40% vs. 16%, p=0.007). Multivariate analysis identified that a positive skin prick test for at least one allergen was a significant independent predictor of MRC (OR, 4.6; 95% CI 1.2-17.0, p=0.023). Conclusion: Our study showed that paranasal MRCs were significantly more frequent in atopic children compared to controls. Additionally, MRCs were found to be strongly associated with allergic sensitization. Keywords: Cysts, allergic rhinitis, children, diagnostic tests, signs and symptoms
Prediction of CoVid-19 mortality in Iraq-Kurdistan by using Machine learning
Authors: Awlla Ardalan Husin , Muhammed Brzu T. , Murad Sherko H. , Ahmad Sabah N.
Published: August 2021

This research analyzed different aspects of coronavirus disease (COVID-19) for patients who have coronavirus, for find out which aspects have an effect to patient death. First, a literature has been made with the previous research that has been done on the analysis dataset of coronavirus using Machine learning (ML) algorithm. Second, data analytics is applied on a dataset of Sulaymaniyah, Iraq, to find factors that affect the mortality rate of coronavirus patients. Third, classification algorithms are used on a dataset of 1365 samples provided by hospitals in Sulaymaniyah, Iraq to diagnose COVID-19. Using ML algorithm provided us to find mortality rate of this disease, and detect which factor has major effect to patient death. It is shown here that support vector machine (SVM), decision tree (DT), and naive Bayes algorithms can classify COVID-19 patients, and DT is best one among them at an accuracy (96.7 %).
Network Intrusion Detection using a Combination of Fuzzy Clustering and Ant Colony Algorithm
Authors: Abdulrahman Yadgar Sirwan
Published: August 2021

As information technology grows, network security is a significant issue and challenge. The intrusion detection system (IDS) is known as the main component of a secure network. An IDS can be considered a set of tools to help identify and report abnormal activities in the network. In this study, we use data mining of a new framework using fuzzy tools and combine it with the ant colony optimization algorithm (ACOR) to overcome the shortcomings of the k-means clustering method and improve detection accuracy in IDSs. Introduced IDS. The ACOR algorithm is recognized as a fast and accurate meta-method for optimization problems. We combine the improved ACOR with the fuzzy c-means algorithm to achieve efficient clustering and intrusion detection. Our proposed hybrid algorithm is reviewed with the NSL-KDD dataset and the ISCX 2012 dataset using various criteria. For further evaluation, our method is compared to other tasks, and the results are compared show that the proposed algorithm has performed better in all cases.
Characteristics and Quality of Mobile Apps Containing Prenatal Genetic Testing Information: Systematic App Store Search and Assessment
Authors: Wu Ko-Lin , Alegria Rebeca , Gonzalez Jazzlyn , Hu Harrison , Wang Haocen , Page Robin , Robbins-Furman Patricia , Ma Ping , Tseng Tung-Sung , Chen Lei-Shih
Published: August 2021

Background

Prenatal genetic testing is an essential part of routine prenatal care. Yet, obstetricians often lack the time to provide comprehensive prenatal genetic testing education to their patients. Pregnant women lack prenatal genetic testing knowledge, which may hinder informed decision-making during their pregnancies. Due to the rapid growth of technology, mobile apps are a potentially valuable educational tool through which pregnant women can learn about prenatal genetic testing and improve the quality of their communication with obstetricians. The characteristics, quality, and number of available apps containing prenatal genetic testing information are, however, unknown.

Objective

This study aims to conduct a firstreview to identify, evaluate, and summarize currently available mobile apps that contain prenatal genetic testing information using a systematic approach.

Methods

We searched both the Apple App Store and Google Play for mobile apps containing prenatal genetic testing information. The quality of apps was assessed based on the criteria adopted from two commonly used and validated mobile app scoring systems, including the Mobile Application Rating Scale (MARS) and the APPLICATIONS evaluation criteria.

Results

A total of 64 mobile apps were identified. Of these, only 2 apps were developed for a specific prenatal genetic test. All others were either pregnancy-related (61/64, 95%) or genetics-related (1/64, 2%) apps that provided prenatal genetic testing information. The majority of the apps (49/64, 77%) were developed by commercial companies. The mean quality assessment score of the included apps was 13.5 (SD 2.9), which was equal to the average of possible theoretical score. Overall, the main weaknesses of mobile apps in this review included the limited number of prenatal genetic tests mentioned; incomprehensiveness of testing information; unreliable and missing information sources; absence of developmental testing with users (not evidence based); high level of readability; and the lack of visual information, customization, and a text search field.

Conclusions

Our findings suggest that the quality of mobile apps with prenatal genetic testing information must be improved and that pregnant women should be cautious when using these apps for prenatal genetic testing information. Obstetricians should carefully examine mobile apps before referring any of them to their patients for use as an educational tool. Both improving the quality of existing mobile apps, and developing new, evidence-based, high-quality mobile apps targeting all prenatal genetic tests should be the focus of mobile app developers going forward.
Posthospitalization Follow-Up of Patients With Heart Failure Using eHealth Solutions: Restricted Systematic Review (Preprint)
Authors: Morken Ingvild Margreta , Storm Marianne , Søreide Jon Arne , Urstad Kristin Hjorthaug , Karlsen Bjørg , Husebø Anne Marie Lunde
Published: August 2021

BACKGROUND

Heart failure (HF) is a clinical syndrome with high incidence rates, a substantial symptom and treatment burden, and a significant risk of readmission within 30 days after hospitalization. The COVID-19 pandemic has revealed the significance of using eHealth interventions to follow up on the care needs of patients with HF to support self-care, increase quality of life (QoL), and reduce readmission rates during the transition between hospital and home.

OBJECTIVE

The aims of this review are to summarize research on the content and delivery modes of HF posthospitalization eHealth interventions, explore patient adherence to the interventions, and examine the effects on the patient outcomes of self-care, QoL, and readmissions.

METHODS

A restricted systematic review study design was used. Literature searches and reviews followed the (PRISMA-S) Preferred Reporting Items for Systematic Reviews and Meta-Analyses literature search extension checklist, and the CINAHL, MEDLINE, Embase, and Cochrane Library databases were searched for studies published between 2015 and 2020. The review process involved 3 groups of researchers working in pairs. The Mixed Methods Appraisal Tool was used to assess the included studies’ methodological quality. A thematic analysis method was used to analyze data extracted from the studies.

RESULTS

A total of 18 studies were examined in this review. The studies were published between 2015 and 2019, with 56% (10/18) of them published in the United States. Of the 18 studies, 16 (89%) were randomized controlled trials, and 14 (78%) recruited patients upon hospital discharge to eHealth interventions lasting from 14 days to 12 months. The studies involved structured telephone calls, interactive voice response, and telemonitoring and included elements of patient education, counseling, social and emotional support, and self-monitoring of symptoms and vital signs. Of the 18 studies, 11 (61%) provided information on patient adherence, and the adherence levels were 72%-99%. When used for posthospitalization follow-up of patients with HF, eHealth interventions can positively affect QoL, whereas its impact is less evident for self-care and readmissions.

CONCLUSIONS

This review suggests that patients with HF should receive prompt follow-up after hospitalization and eHealth interventions have the potential to improve these patients’ QoL. Patient adherence in eHealth follow-up trials shows promise for successful future interventions and adherence research. Further studies are warranted to examine the effects of eHealth interventions on self-care and readmissions among patients with HF.
Total Quality Management: An Islamic Perspective
Authors: Mohiuddin Md Golam , Hanif Maolana Sharif Md. Abu
Published: August 2021

Quality management has occupied a vast space of the management literature in general and the quality management literature in particular. Academics as well as practitioners devoted much attention to the Total Quality Management (TQM) philosophy and its impact on business performance. It is found that the roots of TQM and its successor can be traced to more than 1400 years ago in the holy book Al-Qur’?n and the teachings of Prophet Mohammad, Peace and Blessings of All?hbe upon him. Many verses in the holy Qur’an stressed the impact of good deeds and doing the right things. Not only we will explain these principles, but we will give some business applications of these principles from an Islamic perspective. This paper is therefore structured as follows. First, we will offer some of the existing concept of the quality management paradigms, literature review and suggest definition to reflect our contribution from an Islamic perspective. Second we will discuss the dimensions of the philosophical under pinning of quality management from Islamic Perspective and then principles quality management from Islamic perspective and finally quality leadership for quality management.
Wetlands, Fishes and Pandemics with Special Reference to India
Authors: Kar Devashish
Published: August 2021

Water is life, life is water. Water is indispensably important for sustenance of life. Wetlands serve as potential water bodies, harbouring coveted bioresources, which sustain animal life. Fish is a significant bioresource for nutrition and avocation of the people. There are various types of wetlands in the Indian sub-continent. India has c 67,429 wetlands covering c 4.1 million ha. Concomitantly, c 21,723 living species of fish have been recorded out of 39,900 species of vertebrates. Of these, c 8411 are freshwater (FW) species and c 11,650 are marine. India recorded c 2500 species of fishes; of which, c 930 live in FW and c 1570 are marine. The hitherto unknown dreadful, virulent, enigmatic Epizootic Ulcerative Syndrome (EUS), has been sweeping the FW fishes in an epidemic dimension, unhindered, unimpeded and unabated, almost semi-globally; and, has been causing large-scale mortality among them, since 1988, rendering many of them endangered. Concomitantly, the outbreak of SARS-CoV-2, among the human, was first reported at Wuhan, China, in late December 2019. The first 54 reported cases of COVID-19 were observed in December 2019 at Wuhan, China, and this, subsequently, had spread across the globe. India has been facing much impacts of COVID19 pandemic since its inception in China.
De la satisfacción al malestar social: abuelas cuidadoras de escolares en la Zona Metropolitana de Toluca
Authors:   Universidad Autónoma del Estado de México, Martínez-Espinosa Alejandro , Gaxiola Robles Linares Sergio Cuauhtémoc ,   Universidad Autónoma del Estado de México
Published: August 2021

El envejecimiento poblacional genera la oportunidad de que convivan diferentes generaciones. De ello pueden beneficiarse tanto la niñez en su formación, como las abuelas al mantener su sensación de contribuir a la familia. Pero ello no significa que dicha convivencia se dé en los mejores términos. En este artículo se desarrolla una exploración cualitativa de nueve entrevistas semiestructuradas, para indagar las experiencias de abuelas cuidadoras de niños en edad escolar. Como resultado se identificaron experiencias que no representaban ningún esfuerzo e incluso se promovían frente a opciones institucionales, pero también hubo narrativas cargadas de una frustración indecible y de una priorización de los objetivos de los familiares. Las experiencias mostraron matices en la convivencia intergeneracional que requieren de un nuevo andamiaje institucional para la procuración del bienestar de las abuelas.
Factores contextuales de la migración de retorno a los municipios de las Zonas Metropolitanas del Estado de México 2010-2015
Authors:   Universidad Autónoma del Estado de México, González-Becerril Juan Gabino , Sandoval-Forero Eduardo Andrés ,   Universidad Autónoma del Estado de México
Published: August 2021

Este texto tiene como objetivo mostrar la orientación de la migración de retorno al Estado de México, principalmente desde Estados Unidos entre 2010 y 2015. Con esto se busca probar que la intensidad migratoria juega un papel fundamental en la orientación de la migración de retorno hacia municipios metropolitanos, y no hacia municipios rurales que también son determinados por el nivel de pobreza y la marginación. Para sostener nuestro argumento se usaron datos del índice de marginación municipal del CONAPO de 2010-2015, la información sobre la pobreza estimado por el CONEVAL también a nivel municipal y el Índice de Marginación (2010-2015) estimado por el CONAPO, a la vez que apoyamos estos resultados con el modelo de correspon-dencia múltiple para probar el agrupamiento de la migración de retorno a nivel municipal.