bluuebunny/crossref_metadata_2025 huggingface dataset:
Gestión ambiental correctivo y formalización minera en la region altoandina Puno – Perú
Authors: Chavez Flores Roberto , Hinojosa Mamani Jhonatan , Mamani Gamarra Javier Elias , Zela Paricahua Melissa , Catacora Lucana Edison , Flores Flores Victor Cipriano
Published: August 2023

La informalidad en la minería artesanal en Perú y Latinoamérica involucra a millones de personas y se da principalmente debido a la pobreza y la existencia de yacimientos accesibles. En Perú, se han propuesto avances en la reglamentación y legislaciones específicas para abordar esta situación, como el D.S. 014-92-EM, Ley 27651 y Decreto Legislativo 1105. El estudio tiene como objetivo determinar si el proceso de formalización minera en los distritos de Ananea, Ituata y San Gabán de la Región Puno es viable, y se estima que el costo promedio de la formulación del IGAC (Instrumento de Gestión Ambiental Correctivo) por consultores acreditados es de s/. 50,000. Sin embargo, se evidencia que hay incumplimiento de plazos en la revisión y aprobación por parte de las autoridades, lo que retrasa la obtención de las Licencias y Resoluciones de Inicio y Reinicio de Operaciones Mineras. El estudio se basa en la investigación de 84 mineros de los tres distritos mencionados, y se menciona que en la Región Puno se han empadronado un total de 10,600 mineros, de los cuales 6,000 han realizado declaraciones de compromiso, 2,445 están en etapa de saneamiento, 243 IGAC han sido realizados y solo 29 han sido aprobados. Finalmente, se destaca que 20 mineros (empresas) han logrado formalizarse, 8 de ellos en proceso extraordinario y 12 en proceso ordinario, lo que convierte a la Región Puno en la que presenta y aprueba más IGAC a nivel nacional contribuyendo a la economica de manera formal.
Diseño de una Arquitectura de referencia en la Logística de abastecimiento inteligente de almacenes mediante el uso de Tecnologías de la Industria 4.0. Caso Almacenes minoristas de la Ciudad de Pilar.
Authors: Ruiz Díaz Benítez Juan Richard
Published: August 2023

El artículo presenta una arquitectura de referencia para la logística de abastecimiento inteligente de almacenes, que utiliza tecnologías de la Industria 4.0 en los almacenes retail de la ciudad de Pilar. La arquitectura propuesta se basa en la integración de sistemas de información y comunicación, como el Internet de las cosas, la inteligencia artificial y un DSS, para mejorar la eficiencia y la productividad de la cadena de suministro. Además, se presentan algunos casos de estudio que demuestran la efectividad de la arquitectura en la optimización del tiempo de entrega y la reducción de costos operativos. En general, la arquitectura de referencia propuesta puede ser una herramienta valiosa para las empresas que buscan mejorar su logística de abastecimiento y mantenerse competitivas en el mercado.
The Relationship between Body Mass Index and Menstrual Cycle of Female Students in SMK Negeri 2 Gorontalo
Authors: Ihsan Maimun , Yoshida Faralia Eka , Dungga Elvie Febriani
Published: August 2023

Introduction: The menstrual cycle is a regularly coordinated hormonal process in a woman's body which can be an indicator to describe a woman's reproductive health. Riskesdas (2018) shows that 11.7% of Indonesian youth experience menstrual cycle disorders. Body Mass Index (BMI) can be a factor that can interfere with the menstrual cycle, so the purpose of this study was to analyze the relationship between Body Mass Index (BMI) and the menstrual cycle in female students at SMK Negeri 2 Gorontalo.Method: This study used a cross-sectional design. The sample was selected using a probability sampling technique utilizing simple random sampling with a total sample of 173 people, the instruments used were scales and meters for body mass index data and menstrual cycle questionnaires. The study was conducted in November 2022. The relationship between BMI and the menstrual cycle was tested using the Spearman correlation test.Results: Out of 173 respondents whose data were analyzed, 128 respondents (74%) had a normal BMI, 19 respondents (11%) were underweight, and 26 respondents (15%) were overweight. Among the total respondents, 117 (67.6%) had a normal menstrual cycle, while 56 (32.4%) had an abnormal cycle. There were 14 respondents (10.9%) with normal BMI, 18 respondents (94.7%) with underweight BMI, and 24 respondents (92.3%) with overweight BMI who had an abnormal menstrual cycle. There was a significant correlation between BMI and menstrual cycle among female students of SMK Negeri Gorontalo, with a p-value of 0.019.Conclusion: significant association exists between BMI and menstrual cycle among SMK Negeri 2 Gorontalo female students. This study can serve as a recommendation for the school to provide information regarding reproductive health, particularly menstrual cycles.
Evaluation of ultrafiltrated fluid overloaded patients: a single center study
Authors: CAN Özgür , BAŞ Süleyman , ŞAHİN Gülizar Manga , APAYDIN Süheyla
Published: August 2023

Aims: Fluid overloaded patients with heart or renal insufficiency have poor quality of life and increased morbidity and mortality. In this study, we aimed to investigate the factors affecting the prognosis in patients who presented with fluid overload and were ultrafiltered.

Methods: Three groups of patients were compared: Group 1: Patients with chronic kidney disease and ejection fraction ≤ 40%; Group 2: Patients with chronic kidney disease and ejection fraction > 40%; Group 3: Patients with ejection fraction ≤ 40% but without chronic kidney disease. Patients were also evaluated regarding mortality.

Results: Group 1, 2 and 3 consisted of 14, 62 and 16 patients: respectively. There were statistically significant results for 24-hour urine volume (p=0.040), proteinuria (p=0.010), ultrafiltration volume/weight at hospitalization (p
Tau protein hyperphosphorylation in children with cerebral palsy with sleep disorders
Authors: DOĞAN Ayşe Gülşen , ÇETİN İhsan
Published: August 2023

Aims: In this study, we aimed to evaluate the relationship between sleep disorder and serum tau protein levels in children with cerebral palsy.

Methods: The sample was selected among children aged 6-10 years who applied to our physical medicine and rehabilitation outpatient clinic. In order to evaluate sleep quality, the Pittsburgh Sleep Quality Index (PSQI) questionnaire was recorded by asking parents of all participants. Children with CP who had a Pittsburgh Sleep Quality Index value above 5 were determined as the sleep disorder group. We recruited 27 children with CP and sleep disorders in the first patient group (Group 1), 27 children with CP but without sleep disorders in the second group (Group 2). The third group (Group 3), which was the healthy group, included 27 children without any disease. We also recorded the age of children at diagnosis, risk factors for CP (premature, prolonged birth, etc.), CP type, gross motor function classification system (GMFCS), botox application, orthoses usage, maternal age at birth, and additional problems. We measured total tau protein (T-tau) and phosphorylated tau protein (P-tau) levels in blood samples through a double-antibody sandwich enzyme-linked immunosorbent assay (ELISA). The correlation between tau protein and PSQI values was examined.

Results: Maternal age (p=0.001), gross motor function classification system (GMFCS) (p=0.001), and pittsburgh sleep quality index (PSQI) (p=0.001) were significantly higher in the group with sleep disorders. There was a statistically significant difference between the groups in terms of serum T-Tau and P-tau protein levels (T-tau p=0.003, P-tau p=0.004). In the group sleep disorders, PSQI was significantly correlated with T-tau (r=0.499) and P-tau (r=0.473).

Conclusion: This study shows that tau protein levels are higher in CP patients with sleep disorders than in participants without sleep disorders. In the correlation analyzes, a positive and significant correlation was observed between PSQI values and T-tau and P-tau in sleep disorders groups, and no correlation was found in without sleep disorders.
Dosimetric evaluation of inclusion of proximal seminal vesicle in target volume in low-risk prostate cancer treated with stereotactic body radiotherapy
Authors: DELİKGÖZ SOYKUT Ela , TATAROĞLU Hatice
Published: August 2023

Aims: Ultra hypofractionation using stereotactic body radiotherapy (SBRT) for low-risk PCa is considered a viable treatment option. The target volume for ultra hypofractionated RT was determined as prostate and/or proximal seminal vesicles; however, there are no clear guidelines on when to add a proximal seminal vesicle to the target volume. We aimed to dosimetrically assess the effect of inclusion of the proximal seminal vesicle in the planning target volume (PTV) on the dose distribution of organ at risk (OAR) when SBRT is administered to patients with low-risk PCa.

Methods: Low-risk PCa cases who underwent SBRT with CyberKnife were retrospectively screened, and 20 random cases were included. The contours of OARs and target volumes were checked as recommended in international contouring atlases by the same radiation oncologist. Two treatment plans by determining two different PTV (prostate alone in plan 1 and prostate with proximal seminal vesicles in plan 2) were made by the same specialist physicist. 5×7.25 Gy was chosen as the dose schedule defined for both plans.

Results: Regarding coverage, homogeneity index, and new conformity index (nCI), there was no significant difference between the two plans (p=0.397, p=0.452, p=0.225). The plan 2 had a greater PTV Dmax (p
The Accra Confession and Public Theology in African Christianity: The Ghanaian Experience
Authors: Opuni-Frimpong Kwabena
Published: August 2023

The study examined the Accra Confession as a Public Theology document and how it provides theological resources for Christian responses to contemporary social challenges in Ghana. The faith document that was developed in Ghana invites the church to participate in Christian public witness. It affirmed the importance of the gospel in addressing contemporary social and economic challenges and recognizes the need for the church to maintain a prophetic voice in the face of oppression, exploitation and exclusion. The article argued that the Public Theology document provides the necessary resources that are needed for the public witness of the church in Ghana after its almost two decades in existence and therefore any form of disconnection and silence need to be identified and addressed. Ghana is currently confronted with developmental challenges like poverty, hunger and unemployment. The faith document contains the necessary theological perspectives that the church needs in the effort to pursue social change. It’s awakening and continuous conversation in the church definitely will contribute to the Christian public witness in Ghana. The study recommended that churches must integrate the theological insights in the Accra Confession into their churches’ structures and Christian education programmes. It further recommended awakening and continuous conversation of the Accra Confession in congregations. Using the qualitative research method, the author examined available materials on the Reformed church and theology to throw more highlights on the issue. Attention was further given to reports from the WARC gathering at Accra in 2004 in which the author was a participant.

Keywords: Accra Confession, Public Theology, African Christianity, Christian Public Witness.
Effect of calcium doping on the anodic behavior of E-AlMgSi (Aldrey) conducting aluminum alloy in NaCl electrolyte medium
Authors: Ganiev Izatullo N. , Jayloev Jamshed H. , Kholov Ermakhmad J. , Ganieva Nargis I.
Published: August 2023

The design of new materials intended for operation under severe conditions faces the task of rendering the materials corrosion resistant. The practical solution of this task is interrelated with the knowledge of corrosion protection of metals and alloys. The use of conducting aluminum alloys for the manufacture of thin wire may encounter specific problems. This is caused by the insufficient strength of these alloys and a small number of kinks before fracture. Aluminum alloys have been developed in recent years which even in a soft state have strength characteristics that allow them to be used as a conductive material. The E-AlMgSi (Aldrey) aluminum alloy is a well-known conducting alloy. This alloy is a heat-strengthened one, possessing good plasticity and high strength. After appropriate heat treatment this alloy acquires high electrical conductivity. Wires made from this alloy are almost exclusively used for air transmission lines.

This work presents data on the corrosion behavior of calcium containing E-AlMgSi (Aldrey) aluminum conducting alloy in 0.03, 0.3 and 3.0% NaCl electrolyte medium. The anodic behavior of the alloy has been studied using a potentiostatic technique with a PI-50-1.1 potentiostat at a 2 mV/s potential sweep rate. Calcium doping of the E-AlMgSi (Aldrey) aluminum alloy increases its corrosion resistance by 15–20%. The corrosion, pitting and repassivation potentials of calcium doped alloys shift toward the positive region. An increase in the sodium chloride electrolyte concentration leads to a decrease in these potentials.
Six new species of the orb-weaver spider genus Araneus Clerck, 1757 (Araneae, Araneidae) and a redescription of A. colubrinus Song & Zhu, 1992 from Fanjingshan National Nature Reserve, Guizhou, China
Authors: Mi Xiaoqi , Wang Cheng , Gan Jiahui
Published: August 2023

Six new species of the genus Araneus Clerck, 1757 from Fanjingshan National Nature Reserve in Guizhou Province, China are described: Araneus chenjingisp. nov. (♂♀), and A. yuboisp. nov. (♂♀) are assigned to the A. diadematus group; A. lihaiboisp. nov. (♂♀), A. shiisp. nov. (♂♀), A. wanghuaisp. nov. (♂♀), and A. yangchuandongisp. nov. (♂♀) are assigned to the A. sturmi group. Araneus colubrinus Song & Zhu, 1992 is redescribed. A new synonym of Araneus colubrinus Song & Zhu, 1992 is proposed: Araneus octodentalis Song & Zhu, 1992 syn. nov.
Spine MRI image segmentation method based on ASPP and U-Net network
Authors: Cai Biao , Xu Qing , Yang Cheng , Lu Yi , Ge Cheng , Wang Zhichao , Liu Kai , Qiu Xubin , Chang Shan
Published: August 2023

The spine is one of the most important structures in the human body, serving to support the body, organs, protect nerves, etc. Medical image segmentation for the spine can help doctors in their clinical practice for rapid decision making, surgery planning, skeletal health diagnosis, etc. The current difficulty is mainly the poor segmentation accuracy of skeletal Magnetic Resonance Imaging (MRI) images. To address the problem, we propose a spine MRI image segmentation method, Atrous Spatial Pyramid Pooling (ASPP)-U-shaped network (UNet), which combines an ASPP structure with a U-Net network. This approach improved the network feature extraction by introducing an ASPP structure into the U-Net network down-sampling structure. The medical image segmentation models are trained and tested on publicly available datasets and obtained the Dice coefficient and Mean Intersection over Union coefficients with 0.866 and 0.755, respectively. The experimental results show that ASPP-UNet has higher accuracy for spine MRI image segmentation compared with other mainstream networks.
Epidemiology of Parkinson's Disease
Authors: Oukhrib Mjid , Tamegart Lahcen , El Ghachi Hafida , Ben Maloui Abdelali , El-Mansoury Bilal , Chraa Mohamed , Gamrani Halima
Published: August 2023

Just after Alzheimer's disease, Parkinson's disease (PD) is considered the second most prevalent chronic and progressive neurodegenerative disorder with an increased prevalence in the elderly population, affecting men slightly more frequently than women, and often resulting in disability, dependence on care, reduced quality of life, and premature death. Regarding the etiology of PD, it is a complex disease involving both genetic and lifestyle factors as well as environmental factors. In addition to the cardinal motor symptoms, non-motor symptoms and comorbidities of PD are increasingly recognized as central to the disease. These include somatic symptoms, such as pain and autonomic dysfunction (orthostatic hypotension, bladder dysfunction, and constipation), and behavioral problems, such as dementia, impulse control disorders, sleep disorders, fatigue, and psychosis. The epidemiological study of the different symptoms and comorbidities related to PD helps to understand their causes and consequently to know how to reduce the incidence and impact of these dysfunctions in the disease.
Sex Dimorphism and Parkinson's Disease
Authors: Khanouchi Manal , Laadraoui Jawad , El Amine Souad , Aimrane Abdelmohcine , El-Mansoury Bilal , Smimih Kamal , Saad Fatima Ez-Zahraa , El Khiat Abdelaati , Ferssiwi Abdeslam , Bitar Abdelali , Mamad Omar
Published: August 2023

Parkinson's disease (PD) affects the nervous system of patients in a gender-discriminative way. In regards to the epidemiological observations, amongst the 10 million people worldwide who are living with PD, recent reports have stated 1.5 times the greater incidence in men than in women. What is more, while growing evidence is showing gender as a considerable biological variable, preclinical research on PD has shown tangible explanations of epidemiological observation. Indeed, it has been shown that the symptoms are delayed in women especially because of a high dopamine level in the striatum, possibly due to the activity of estrogens. Thus, in this chapter, the authors present an overview of sexual dimorphism in PD and the possible mechanisms linking the differences observed between men and women in the incidence of PD.
Pharmacological Treatments of Parkinson's Disease
Authors: Tamegart Lahcen , Oukhrib Mjid , Oudghiri Dia Eddine , El-Mansoury Bilal , Ibtissam Chakir , Draoui Ahmed , El Ghachi Hafida , Ben Maloui Abdelali , El Khiat Abdelaati , Gamrani Halima
Published: August 2023

Parkinson's disease (PD) is recognized as the second most common neurodegenerative disease after Alzheimer's disease. Parkinson's disease is a progressive disease characterized by a progressive loss of dopaminergic neurons of the black substance (SNpc) and dopamine deficiency in the striatal region as well as motor and non-motor symptoms. The main objective of Parkinson's research is to understand the pathogenesis, targets, and development of therapeutic interventions to control disease progression. The use of various agents could be a good strategy for the treatment of PD.
Stem Cells
Authors: Ben Maloui Abdelali , El-Mansoury Bilal , Hamdan Youssef Ait , Oukhrib Mjid , El Ghachi Hafida , Tamegart Lahcen , Draoui Ahmed , Gamrani Halima
Published: August 2023

Stem cells are defined by their ability of self-renewal and generation of differentiated functional cell types, which are derived from the embryo and various postnatal animal sources. These cells can be divided according to their developmental potential into totipotent, unipotent, multipotent, and pluripotent, which may be of embryonic, fetal, or adult origin. These stem cells are an effective way to explore human diseases and their treatment, especially neurodevelopmental disorders. Therefore, stem cells used for cell therapy in Parkinson's disease (PD) are mainly embryonic stem cells (ES Cells), fetal neural stem cells (NSCs), adult neural stem cells, mesenchymal stem cells (MSCs) because of their plasticity, and induced pluripotent stem cells (iPSCs). They are theoretically capable of forming dopaminergic neurons that may be implanted in patients with Parkinson's disease. This chapter presents the primordial role of cell therapy by stem cells in the mechanism of Parkinson's disease, also in dopamine cell replacement based on generating neurons.
A Novel Approach for Predicting COVID-19 Using Machine Learning-Based Logistic Regression Classification MODEL
Authors: Ravi Jayavadivel
Published: August 2023

Recently, several studies have stated that mild weather can perhaps halt the global epidemic, which has already afflicted over 1.6 million people globally. Clarification of such correlations in the worst affected country, the US, can be extremely valuable to understand the function of weather in transmission of the disease in the highly populated countries, such as India. The authors developed a machine-learning approach as logistic regression classification models that used data from several sources to determine whether a patient is at risk of COVID-19 using one of the classification models with the greatest accuracy. They are working on a model that uses simple features available through basic clinical inquiries to detect COVID-19 patients. When testing resources are tight, their approach can be used to prioritize testing for COVID-19, among other things.
Investigations on the Swiftness of a Quantum and a Classical Processor
Authors: Rajyam Sumathi , Raajan N. R. , Samyuktha G. , Priyadharshini V. , Sindhujaa M.
Published: August 2023

The cutting-edge technologies cloud computing and IoT are taking an upper hand in every domain. A huge and wide variety of data is being handled and processed by clouds. The cloud federation technique further adds up to this. In the coming years, quantum computers will replace the conventional computers. Pulling out particular data from the gigantic data set processed by clouds in a conventional computer would take a considerable amount of time. In the chapter, Grover's algorithm, a search algorithm, is implemented on traditional computers on IBM quantum simulator and also on QUIRK quantum simulator. Three qubit data is considered in the proposed scheme. The objective of this chapter is to compare the execution time taken to run the Grover's algorithm on IBM and Quirk quantum simulators and on classical computers. The work carried out proves that quantum computer execution speed is high compared to the classical counterpart. This could be effectively used in the future in searching for specific data from a mammoth data set using quantum simulators.
Review on Different Types of Disturbing Noise for Degraded Complex Image
Authors: Pandey Binay Kumar , Devi Poonam , George A. Shaji , Nassa Vinay Kumar , Dadheech Pankaj , Thankachan Blessy , Patidar Pawan Kumar , Dogiwal Sanwta Ram
Published: August 2023

This chapter provides an analysis of the various kinds of distracting noise that can be seen in degraded complex images, such as those found in newspapers, blogs, and websites. A complicated image that had been deteriorated as a result of noise such as salt and pepper noise, random valued impulse noise, speckle noise, and Gaussian noise, amongst others, was the result. There is an extraordinarily high demand for saving the text that can be read from complicated images that have been degraded into a form that can be read by computers for later use.
A Comprehensive Review on Algorithms of Image Processing for Autonomous and Electric Vehicles
Authors: Gollapudi Ismayel , Bhaumik Kallol , Pandey Digvijay , Suresh Juttu , Ganesh K. V. , Kanike Uday Kumar
Published: August 2023

The development of autonomous electric vehicles has gained significant attention due to their potential to reduce carbon emissions and improve road safety. Image processing has become an important tool in the development of these vehicles, enabling them to detect and respond to objects and obstacles in their environment. In this review paper, we explore the use of image processing in electric vehicles and driverless cars, with a focus on the various techniques proposed by authors. The comparison of the performance and effectiveness of different approaches, including deep learning, computer vision, and sensor fusion, in detecting and recognizing objects in the environment. Our review highlights the advantages and limitations of each technique and their potential for future development in the field of electric vehicles. Overall, image processing has shown to be a promising solution for the development of safe and efficient autonomous electric vehicles.
AI and Crime Prevention With Image and Video Analytics Using IoT
Authors: Ninoria Shalini , Upadhyay Ramakant , Philip Reena Susan , Dwivedi Richa , Micheal Gabriela , Gupta Ankur , Mishra Sudha
Published: August 2023

Artificial intelligence system has been frequently used for crime prevention. Image and video analytics are playing significant role during such operation. However it has become quite challenging to implement over IoT environment, with the development of artificial intelligence where the discipline of research and analysis has entered a new age. The use of video analytics, a branch of artificial intelligence that is undergoing fast advancement, is supporting law enforcement agencies in significantly reducing crime rates. Video Analytics examines video footage using algorithms to categorize a wide variety of object types and distinguish certain behaviors or activities in order to deliver real-time alerts and insights to customers. Traditional CCTV cameras are so yesterday. But there is need to reduce the time consumption and space consumption during image analytic and video analytics operations. Present work is focusing on performance enhancement during image and video analytics.
CNN-Based Deep Learning Approach Over Image Data for Cyber Forensic Investigation
Authors: Awasthi Aishwary , Das Priyanksha , Gupta Rupal , Varma Raj , Sharma Shilpa , Gupta Ankur , Khan Huma
Published: August 2023

A deep learning approach is gaining popularity day by day in image data classification. The process of classification of graphical data considering training network is managed by conventional neural network. Such types of networks allow automatic classification by making use of CNN approach. But the issues that are faced during forensic investigation are slow in performance and lack accuracy. The major objective of work is to consider the CNN approach that is processing graphic data in order to perform cyber forensic investigation.
Fire Detection System Utilizing an Aggregate Technique in UAV and Cloud Computing
Authors: Dhamodaran S. , Ahamad Shahanawaj , Ramesh J. V. N. , Sathappan S. , Namdev Arpit , Kanse Reshma Ramakant , Pramanik Sabyasachi
Published: August 2023

One of the new and difficult study fields in the contemporary environment is the idea of smart cities. The cities are bordered by woods, farmland, or open spaces where fires might break out, endangering human lives and wiping out many resources. This chapter uses the idea of sensor networks and UAV technology to develop an early fire detection system that will help eliminate fire incidents. The suggested design uses sensors to track environmental factors and uses sensors and IoT applications to analyze the data. The suggested fire detection system combines cloud computing, UAVs, and wireless sensor technologies. The suggested fire detection system additionally incorporates certain image processing methods to more accurately and efficiently identify the fire occurrence. Rules are also developed in order to increase the genuine detection rate. The suggested fire detection system's simulation results are contrasted with those of several current techniques.
Real-Time Bangla Sign Words Interpretation Uttered at Medical Emergencies
Authors: Karim Tajbia , Mahayuddin Zainal Rasyid
Published: August 2023

Sign language is a medium of communication using gestures which is developed for people who suffer from auditory or verbal impairment. But sign language is usually not widely familiar to common people. For this reason, a sign language interpreter is essential for translating sign word representation to regular text or voice. Though there are some research works on American Sign Language interpretation, but it is inadequate in number for other languages. This chapter illustrates real time interpretation of medical emergency relevant Bangla sign words using machine learning. Considering medical emergency situations, a real time word level interpreter is designed, and the performance is evaluated. The designed deep neural network uses Mediapipe Holistic network for feature detection from human body in transitional movement and Long short term memory (LSTM) to predict the image sequences of each sign action. The designed system provides 99% model training accuracy and 92.22% test accuracy in real time detection.
Perceptions and benefits of static and dynamic stretching in dancers: Qualitative and quantitative aspects
Authors: D'Elia Francesca , Altavilla Gaetano , Esposito Giovanni , Aliberti Sara , Raiola Gaetano
Published: August 2023

The present study investigated the beneficial effects induced on dancers by the two types of stretching protocol: static and dynamic stretching, in order to elevate the aesthetics of the figures and body positions to the highest level.  The subjects were 20 young female dancers divided into two groups: Group DS (n=10), which performed dynamic stretching, and Group SS (n=10), a static stretching, both for six months.  A survey, with the aim of assessing perceptions about the benefits induced by the type of stretching performed, and a Sit and Reach Test were administered to the dancers to assess both qualitative and quantitative aspects of flexibility. An independent samples t-test was performed to assess the differences in flexibility between DS and SS group before and after six months, and a Fisher's exact test to analyse their perceptions on the benefits induced by two training protocols. Result was statistically significant after six months and four associations were found (P <0.05). Dynamic stretching brought greater benefits both qualitatively and quantitatively.  From the results of the study, it was possible to state that dancers in terms of induced benefits and satisfaction with the performance result achieved, preferred dynamic stretching.
O esporte prescrito nos países da América Latina: panorama e características das leis
Authors: Gama Jean Carlos Freitas , Santos Wagner dos , Oliveira Junior Geraldo Luiza de , Ferreira Neto Amarílio
Published: August 2023

Mapeia e analisa as principais leis esportivas e órgãos governamentais oficiais que regulamentam e gerem o esporte na América Latina, compreendendo a natureza dos documentos e seus principais elementos constitutivos, a saber: título, ano de criação e objetivos gerais. Trata-se de um estudo do tipo exploratório e documental, utiliza a crítica-documental, o método comparativo e o paradigma indiciário como abordagem teórico-metodológica. As fontes são compostas pelas Leis esportivas oficiais de 19 países da Amperica Latina. As análises nos permitiram estabelecer as seguintes categorias: a) países cujas leis esportivas são específicas e que contém apenas o termo esporte em seu nome; b) países cuja as leis esportivas são identificadas com números; c) países cujas leis esportivas possuem nomenclatura mista. Doze países conceituam o esporte na íntegra em seus documentos. Percebemos que a maneira como o esporte é apresentado nas leis provavelmente demonstra os sinais e rastros de como é pensado, visto e materializado em cada país. Entendemos que as leis se configuram como um importante marco para o desenvolvimento do esporte nos países. Além delas, apontamos que é fundamental que seja pensada uma política esportiva a médio e longo prazo em cada contexto.
Fatores associados à satisfação e distorção da imagem corporal em crianças de 7 a 10 anos de idade
Authors: Alves Rezende Leonardo , Hamu Tânia Cristina Dias da Silva , Bizinotto Thailyne , Porto Celmo Celeno , Formiga Cibelle Kayenne Martins Roberto
Published: August 2023

O objetivo deste estudo é analisar a satisfação e distorção da imagem corporal em crianças de 7 a 10 anos de idade e verificar quais fatores antropométricos e socioeconômicos estão associados a elas. Trata-se de um estudo transversal, realizado com 307 crianças de escolas públicas de Goiânia. A saúde da criança e os aspectos socioeconômicos da família foram avaliados por meio de um questionário semiestruturado; a imagem corporal foi avaliada por meio da Escala de Silhuetas Brasileiras Para Crianças; e também foram coletados dados antropométricos de peso, estatura, dobras cutâneas e circunferência da cintura. Observou-se homogeneidade do gênero neste estudo, predomínio de meninos (52%) eutróficos (73%). Apesar de se tratar de uma amostra com peso saudável, a insatisfação e a distorção da imagem corporal prevaleceram sobre a maior parte da amostra: a insatisfação esteve presente em 92% das crianças, prevalecendo o desejo por uma menor silhueta, enquanto a distorção esteve presente em 75% da amostra, com predomínio da subestimação da silhueta. No entanto, este estudo encontrou associação da insatisfação com a imagem corporal apenas com IMC (aferido, atual e desejado) e circunferência da cintura; e associação da distorção da imagem corporal apenas com os IMC (aferido e atual).
Sobre a compreensão dos profissionais das áreas do lazer e da saúde a respeito dessa interface
Authors: Maciel Marcos Gonçalves , Fonseca Halley Gustavo , Roque Andrade Douglas , Ricci Uvinha Ricardo
Published: August 2023

A interface entre as áreas do lazer e da saúde é crescente no Brasil. Assim, se faz relevante investigar como os profissionais dessas áreas compreendem essa relação. Este trabalho tem por objetivo analisar como os profissionais afiliados à Associação Brasileira de Pesquisa e Pós-Graduação em Estudos do Lazer e à Sociedade Brasileira de Atividade Física e Saúde compreendem a temática lazer e saúde, acadêmica e/ou profissionalmente. Esta pesquisa é qualitativa, transversal e exploratória. Participaram da pesquisa 80 pessoas (42,9±10,2 anos), sendo 41 do sexo feminino e 44 profissionais da SBAFS. Empregou-se o Software IRaMuTeQ para análises estatísticas sobre os corpus textuais, e a análise crítica de discurso.  As análises tiveram um aproveitamento de 88,25% do corpus textual; foi gerada uma Classificação Hierárquica Descendente com três classes: 1) Qualidade de vida; 2) Direitos sociais; 3) Conhecimento Acadêmico. Os profissionais entendem existir uma interface entre o lazer e a saúde, sendo o lazer um importante meio de promoção do desenvolvimento humano. Contudo, identificou-se um hiato na intercessão e na construção de conhecimentos interdisciplinares que permitam a sua efetivação no cotidiano das pessoas, assim como a ampliação de políticas intersetoriais aproximando essas temáticas.
Habitat type affects the structure but not the composition of dung beetle (Coleoptera: Scarabaeinae) assemblages in a tropical deciduous forest of southeastern Mexico
Authors: Gómez-Méndez Ana del Carmen , Sánchez-Hernández Gibrán , Gómez Benigno , González-Martín del Campo Filiberto
Published: August 2023

In this study, we compared the Scarabaeinae (Coleoptera) assemblages between two contrasting habitats (conserved forest versus urban habitat), located between the boundary of an urban zone and a protected area within the Mexican state of Chiapas. We collected 1003 individuals of 22 species and 12 genera. The composition of assemblages was similar between habitats, with a high species dominance. However, the identity of the dominant species differed between habitats, with 11 species considered indicators of one of the two conditions (five species in the conserved forest sites and six species in urban habitat sites), whereas three other species exhibited generalist habits. Large paracoprids predominate in the conserved forest, and small paracoprids in the urban habitat. The apparent homogeneity in the dung beetle assemblages probably is due to the high density of domestic and feral animals replacing native mammals and is promoted by the loss of forest-dependent species caused by continuous landscape fragmentation. Nonetheless, the association of some species with forest habitat and the differences in the structure of functional groups indicate the importance of conserving these forest remnants, which would help to mitigate the negative impact of urbanised areas, as these species are generally sensitive to the habitat fragmentation process.
Parametric evaluation of segmentation techniques for paddy diseases analysis
Authors: Kappali Hemanthakumar R. , K.M. Sadyojatha , S.K. Prashanthi
Published: August 2023

In most paddy plant diseases, the leaf is the primary source of information for image-based disease identification and classification. Image segmentation is an important step in the plant disease analysis process. It is used to separate the normal part of the leaf from the disease-affected part of the leaf. In this paper diseases like Bacterial leaf blight, Brown spot, and Leaf smut are segmented using existing, K-means clustering, the Otsu thresholding method. Color space-based segmentation is newly proposed for paddy disease analysis. The intelligence of segmentation techniques is evaluated using the Error Rate and Overlap Rate across the three paddy diseases namely, Bacterial Leaf Blight (BLB), Brown Spot (BS) and Leaf Smut (LS). The results were compared among the Otsu, K-means and color thresholding segmentation techniques. The results revealed that, the color thresholding method using the Lab model emerged as a novel segmentation method for all three paddy diseases with an average Error Rate (ER) and Overlap Rate (OR) of [0.36, 0.95]. The proposed work is carried out in the department of Electronics and Communication research centre at Ballari Institute of Technology and Management, Ballari, Karnataka during the period from August 2022 to February 2023 with the expert suggestions of the plant pathologist, from the University of Agricultural Science, Dharwad, Karnataka.
La opinión fotográfica (y III) la importancia del entorno periodístico
Authors: Abreu Sojo Carlos
Published: August 2023

De acuerdo con el criterio de los especialistas, toda imagen es, en principio polisémica. En otras palabras, conlleva un conjunto de significados y su lectura puede prestarse a diversas interpretaciones. En lo que respecta a la fotografía periodística, el título y la leyenda que acompañan a la imagen son los que, en definitiva, "anclan" su significado. En esta tercera y última entrega acerca del tema de la opinión en la fotografía el doctor Carlos Abreu nos ilustra acerca del asunto con una gama variada de ejemplos.
Narratives in School History Textbooks: An East African Perspective
Authors: Shishkina A. R. , Dunde T. O. , Issaev L. M.
Published: August 2023

This study conducts an in-depth analysis of the content in school history textbooks from East Africa, assessing the potential impact on socio-political stability in the region. Citing relevant research on multiperspectivity, the authors recognize the signiﬁcant role power dynamics play in shaping historical narratives, suggesting that colonial structures and the dominance of majority groups continue to inﬂuence these dynamics. The paper provides a historical context by reviewing the educational systems in Kenya, Uganda, and Tanzania. It particularly notes the challenges faced by the Muslim minority group, who often study in public schools managed by Christian entities or the government. These institutions predominantly use secular history textbooks, potentially biasing the learning experience. The researchers employed content analysis to qualitatively evaluate the data in these textbooks. The results indicated a biased presentation of historical events, overemphasizing the colonial and post-colonial periods while underrepresenting the inﬂuence of Islam in East Africa. The authors argue that this selective approach to history education might intensify existing socio-political tensions in the region. They advocate for a more balanced and inclusive representation of historical events in educational materials to foster a more equitable learning environment.
Anticolonial and Postcolonial Narratives in the Context of Political Myth in the DPRK and the Republic of Korea
Authors: Kim N. N. , Soloviev A. V.
Published: August 2023

This article delves into the intricate ways in which anti- and postcolonial narratives shape the formation of political myths in both the Democratic People’s Republic of Korea (DPRK) and the Republic of Korea. Political myth, as a discursive system, elucidates how people are molded and what objectives they serve through a complex interplay of signs and symbols. Having established the prerequisites for when historical narrative converges with political myth (drama, signiﬁcance, and political action), the authors identify three clusters of historical narratives, each associated with a signiﬁcant trauma: the loss of independence, the attainment of independence through external aid, and the division of the people. Scrutinizing these narratives, the authors extract common and speciﬁc features of political myths as they manifest in the North and South, and pinpoint the key historical and political circumstances that account for these divergences and convergences.
Process of developing the international city branding strategy: Case study city of Kharkiv.
Authors: Parkhomenko Nataliia
Published: August 2023

The purpose of the article is to determine the sequence of stages for the development of the city's international branding strategy. To achieve the goal, the world practice of forming well-known city brands was studied and city brand models were formed. Approbation of the procedure for developing an international brand strategy was carried out on the example of the city of Kharkiv, one of the largest cities in Ukraine. The combination of experiment and interview made it possible to evaluate the brand of the city of Kharkiv. Based on the SWOT-analysis, the strengths and weaknesses of the development of the city brand, as well as the prospects for brand positioning were revealed. Practical recommendations are given to improve the strategy for the development of international branding of the city based on the use of a spectrum of offline and online branding tools.
Short-term and seasonal time series models for online marketing campaigns
Authors: Bohdalová Mária , Křížková Miriama
Published: August 2023

Marketing companies use the market response to price products, determine advertising expenditures, forecast sales or prepare and test the effectiveness of various marketing plans and campaigns. Predictions of future traffic for online marketing campaigns can be based on data analysis and market response models. Mathematical models have become the main tools for marketing decision-making. The main goal of this paper is to describe and show how to use behavioral modelling of potential customers in online marketing campaigns. In addition to the basic ARMA model for short-term website traffic forecasting, we evaluate the TBATS and Prophet models. Both models comprehensively capture seasonal and holiday fluctuations. More specifically we show how time series modelling can be incorporated into the evaluation of online marketing campaign traffic forecasts for marketing agency clients.
A multimodal educational approach to non-practice-based pharmacy careers
Authors: Ujhelyi Michael R. , Huston Jessica , Schaefer Michael , Smith Kyla , Mobley William Cary
Published: August 2023

Background: Pharmacy students have little exposure to non-practice-based (NPB) careers. However, their education prepares them for a wide array of NBP career opportunities. This work describes a multimodal approach to exposing students to careers in the pharmacy industry.
Methods: This study assessed the impact of a multimodal approach to increasing awareness and understanding of NPB pharmacy careers within the PharmD curriculum. Students were surveyed before and after exposure to an elective course titled Pharmacists Roles in Drug Development (PRDD) that included a Value of Industry Pharmacist (VIP) competition and a seminar series about their knowledge, attitudes, and career interests.
Results: The response rate was 39% (16/41) for students enrolled in the PRDD course and 20% (5/21) for those participating in the VIP competition but not the course. Interest in pursuing a career in industry pharmacy increased significantly after the course (p=0.018) from 39% to 56%. Self-perceived knowledge of careers in industry pharmacy increased significantly (p=0.0003) after the course. Students were extremely likely (50%), somewhat likely (17%), neutral (28%), or extremely unlikely (5%) to recommend the course to a fellow student. Also, the seminar series contributed to significantly increasing knowledge levels (p=0.001), with 20% of students reporting very high or high baseline knowledge that exceeded 60%, indicating very high or high knowledge after the seminar.
Conclusion: In the current study, students showed a significant increase in interest and knowledge levels in industry pharmacy careers after participating in the course and seminar series, indicating that the methods employed in this multimodal approach were effective in educating students on alternative career pathways and piquing their interest in these pathways.
YouTube Comment Scraping and Sentiment Analysis Using Python and Machine Learning
Authors: Kumari Anjali , Arockiaraj M Charles
Published: August 2023

YouTube has become a massive platform for video sharing and discussion, with millions of users expressing their thoughts and opinions through comments. For content producers, marketers, and academics, gleaning significant insights from these comments can yield useful data. This project explores the combination of machine learning and web scraping techniques to scrape YouTube comments and perform sentiment analysis. By leveraging machine learning algorithms, we aim to analyze sentiments, opinions, and trends within the vast amount of textual data generated on the platform. The process involves collecting comments using the YouTube Data API or web scraping libraries, followed by preprocessing steps to clean and transform the data. Next, Machine learning methods like Naive Bayes, SVM, or deep learning models are used to train sentiment analysis models. These approaches include Bag-of-Words, TF-IDF, and word embedding. Our ability to comprehend the overall emotion conveyed by viewers is subsequently made possible by the trained models, which are then utilized to anticipate the sentiment of fresh comments. Additionally, the ability to identify very favorable or negative remarks is made possible by sorting comments based on sentiment scores. It is essential to consider the complexities of language and contextual nuances when conducting sentiment analysis. For many players in the YouTube ecosystem, this technique does provide useful insights into audience feedback, content strategy, and data-driven decision-making.