bluuebunny/crossref_metadata_2025 huggingface dataset:
A spectrum-domain instance segmentation model for casting defects
Authors: Lin Jinhua , Ma Lin , Yao Yu
Published: September 2021

Accurate segmentation of casting defects plays a positive role in the quality control of casting products, and is of great significance for accurate extraction of the mechanical properties of defects in the casting solidification process. However, as the shape of casting defects is complex and irregular, it is challenging to segment casting defects by existing segmentation methods. To address this, a spectrum domain instance segmentation model (SISN) is proposed for segmenting five types of casting defects with complex shapes accurately. The five defects are inclusion, shrinkage, hot tearing, cold tearing and micro pore. The proposed model consists of three sub-models: the spectrum domain region proposal model (SRPN), spectrum domain region of interest alignment model (SRoIAlign) and spectrum domain instance generation model (SIGN). SRPN uses a multi-scale anchoring mechanism to detect defects of various sizes, where the SSReLU and SCPool functions are used to solve the spectrum domain gradient explosion problem and the spectrum domain over-fitting problem. SRoIAlign uses the floating-point quantization operation and the tri-linear interpolation method to quantize the 3D proposals to the feature values in an accurate manner. SIGN is a full-spectrum domain neural network applied to 3D proposals, generating a segmentation instance of defects in a point-wise manner. In the experiments, we test the effectiveness of the proposed model from three aspects: segmentation accuracy, time performance and mechanical property extraction accuracy.
Recognizing human activities in Industry 4.0 scenarios through an analysis-modeling- recognition algorithm and context labels
Authors: Bordel Borja , Alcarria Ramón , Robles Tomás
Published: September 2021

Activity recognition technologies only present a good performance in controlled conditions, where a limited number of actions are allowed. On the contrary, industrial applications are scenarios with real and uncontrolled conditions where thousands of different activities (such as transporting or manufacturing craft products), with an incredible variability, may be developed. In this context, new and enhanced human activity recognition technologies are needed. Therefore, in this paper, a new activity recognition technology, focused on Industry 4.0 scenarios, is proposed. The proposed mechanism consists of different steps, including a first analysis phase where physical signals are processed using moving averages, filters and signal processing techniques, and an atomic recognition step where Dynamic Time Warping technologies and k-nearest neighbors solutions are integrated; a second phase where activities are modeled using generalized Markov models and context labels are recognized using a multi-layer perceptron; and a third step where activities are recognized using the previously created Markov models and context information, formatted as labels. The proposed solution achieves the best recognition rate of 87% which demonstrates the efficacy of the described method. Compared to the state-of-the-art solutions, an improvement up to 10% is reported.
Biogc: A novel framework for biological network classification via machine learning
Authors: Li Bentian , Pi Dechang , Lin Yunxia , Khan Izhar Ahmed
Published: September 2021

Biological network classification is an eminently challenging task in the domain of data mining since the networks contain complex structural information. Conventional biochemical experimental methods and the existing intelligent algorithms still suffer from some limitations such as immense experimental cost and inferior accuracy rate. To solve these problems, in this paper, we propose a novel framework for Biological graph classification named Biogc, which is specifically developed to predict the label of both small-scale and large-scale biological network data flexibly and efficiently. Our framework firstly presents a simplified graph kernel method to capture the structural information of each graph. Then, the obtained informative features are adopted to train different scale biological network data-oriented classifiers to construct the prediction model. Extensive experiments on five benchmark biological network datasets on graph classification task show that the proposed model Biogc outperforms the state-of-the-art methods with an accuracy rate of 98.90% on a larger dataset and 99.32% on a smaller dataset.
Ensemble machine learning methods for spatio-temporal data analysis of plant and ratoon sugarcane
Authors: Singla Sandeep Kumar , Garg Rahul Dev , Dubey Om Prakash
Published: September 2021

Recent technological enhancements in the field of information technology and statistical techniques allowed the sophisticated and reliable analysis based on machine learning methods. A number of machine learning data analytical tools may be exploited for the classification and regression problems. These tools and techniques can be effectively used for the highly data-intensive operations such as agricultural and meteorological applications, bioinformatics and stock market analysis based on the daily prices of the market. Machine learning ensemble methods such as Decision Tree (C5.0), Classification and Regression (CART), Gradient Boosting Machine (GBM) and Random Forest (RF) has been investigated in the proposed work. The proposed work demonstrates that temporal variations in the spectral data and computational efficiency of machine learning methods may be effectively used for the discrimination of types of sugarcane. The discrimination has been considered as a binary classification problem to segregate ratoon from plantation sugarcane. Variable importance selection based on Mean Decrease in Accuracy (MDA) and Mean Decrease in Gini (MDG) have been used to create the appropriate dataset for the classification. The performance of the binary classification model based on RF is the best in all the possible combination of input images. Feature selection based on MDA and MDG measures of RF is also important for the dimensionality reduction. It has been observed that RF model performed best with 97% accuracy, whereas the performance of GBM method is the lowest. Binary classification based on the remotely sensed data can be effectively handled using random forest method.
Location prediction for facility placement by incorporating multi-characteristic information
Authors: Wang Pu , Chen Wei , Huang Jinjing , Wei Yuyang , Fang Junhua , Zhao Lei
Published: September 2021

In the course of recommending locations for establishing new facilities on urban planning or commercial programming, the location prediction offers the optimal candidates, which maximizes the number of served customers or minimize customer inconvenience, therefore brings the maximum profits. In most existing studies, only the spatial-temporal features are recognized to evaluate the location popularity, where social relationships of customers, which are significant factors for popularity assessing, have been ignored. Additionally, current researches also fail to take capacities and categories of the facilities into consideration. To overcome the drawbacks, we introduce a novel model of Multi-characteristic Information based Top-k Location Prediction (MITLP), it captures the spatio-temporal behaviors of customers based on historical trajectories, exploits the social relevancy from their friend relationships, as well as examines the category competitiveness of specific facilities thoroughly. Subsequently, by drawing on the feature evaluation and popularity quantization, MITLP will be implemented within a hybrid B-tree-liked recommending framework, Constrained Location and Social-Trajectory Clustered forest (CLSTC-forest), which can not only produce better performance in practice but also address the facility service constraints. Finally, extensive experiments conducted on real-world datasets demonstrate the higher efficiency and effectiveness of the proposed model.
GOW-Stream: A novel approach of graph-of-words based mixture model for semantic-enhanced text stream clustering
Authors: Vo Tham , Do Phuc
Published: September 2021

Recently, rapid growth of social networks and online news resources from Internet have made text stream clustering become an insufficient application in multiple domains (e.g.: text retrieval diversification, social event detection, text summarization, etc.) Different from traditional static text clustering approach, text stream clustering task has specific key challenges related to the rapid change of topics/clusters and high-velocity of coming streaming document batches. Recent well-known model-based text stream clustering models, such as: DTM, DCT, MStream, etc. are considered as word-independent evaluation approach which means largely ignoring the relations between words while sampling clusters/topics. It definitely leads to the decrease of overall model accuracy performance, especially for short-length text documents such as comments, microblogs, etc. in social networks. To tackle these existing problems, in this paper we propose a novel approach of graph-of-words (GOWs) based text stream clustering, called GOW-Stream. The application of common GOWs which are generated from each document batch while sampling clusters/topics can support to overcome the word-independent evaluation challenge. Our proposed GOW-Stream is promising to significantly achieve better text stream clustering performance than recent state-of-the-art baselines. Extensive experiments on multiple benchmark real-world datasets demonstrate the effectiveness of our proposed model in both accuracy and time-consuming performances.
Virtual samples based robust block-diagonal dictionary learning for face recognition
Authors: Wang Shuangxi , Ge Hongwei , Yang Jinlong , Su Shuzhi
Published: September 2021

It is an open question to learn an over-complete dictionary from a limited number of face samples, and the inherent attributes of the samples are underutilized. Besides, the recognition performance may be adversely affected by the noise (and outliers), and the strict binary label based linear classifier is not appropriate for face recognition. To solve above problems, we propose a virtual samples based robust block-diagonal dictionary learning for face recognition. In the proposed model, the original samples and virtual samples are combined to solve the small sample size problem, and both the structure constraint and the low rank constraint are exploited to preserve the intrinsic attributes of the samples. In addition, the fidelity term can effectively reduce negative effects of noise (and outliers), and the ε-dragging is utilized to promote the performance of the linear classifier. Finally, extensive experiments are conducted in comparison with many state-of-the-art methods on benchmark face datasets, and experimental results demonstrate the efficacy of the proposed method.
Key Intervention Categories to Provide Person-Centered Dementia Care: A Systematic Review of Person-Centered Interventions
Authors: Mohr Wiebke , Rädke Anika , Afi Adel , Edvardsson David , Mühlichen Franka , Platen Moritz , Roes Martina , Michalowsky Bernhard , Hoffmann Wolfgang
Published: September 2021

Background: Person-centered care (PCC) is an important concept in many countries’ national guidelines and dementia plans. Key intervention categories, i.e., a taxonomy of person-centered (PC)-interventions, to provide person-centered dementia care, are difficult to identify from literature. Objective: This systematic review aimed to identify and categorize published PC-interventions into key intervention categories to guide the provision of person-centered dementia care. Methods: Conduct of this systematic review followed Cochrane guidelines. A search of the dimensions ‘Dementia’, ‘Person-Centered Care’, and ‘Intervention’ combined was performed in PubMed, EMBASE, and Web of Science. Study selection was based on 2-stage screening against eligibility criteria, limited to controlled study designs. Information about interventions and outcomes was extracted into an “Effects Table”. The identified PC-interventions were categorized in intervention categories to provide person-centered dementia care. Results: Searches identified 1,806 records. 19 studies were included. These covered a range of psychosocial interventions, oftentimes multi-component interventions, which followed heterogeneous approaches. Studies were conducted in long-term care/hospital settings. Nine key intervention categories were identified: social contact, physical activities, cognitive training, sensory enhancement, daily living assistance, life history oriented emotional support, training and support for professional caregivers, environmental adjustments, and care organization. Conclusion: Our findings provide a current overview of published PC-interventions in dementia, which followed heterogeneous approaches under the PCC-concept. The heterogeneity made it challenging to identify a well-defined concept of PCC and common key intervention categories. An effectiveness-evaluation of “PC” - including “relationship-centered”-interventions may be valuable, to assess whether an explicit focus on relationships around PCC-interventions yields an added benefit. PROSPERO-ID: CRD42021225084.
Combining Multimodal Behavioral Data of Gait, Speech, and Drawing for Classification of Alzheimer’s Disease and Mild Cognitive Impairment
Authors: Yamada Yasunori , Shinkawa Kaoru , Kobayashi Masatomo , Caggiano Vittorio , Nemoto Miyuki , Nemoto Kiyotaka , Arai Tetsuaki
Published: September 2021

Background: Gait, speech, and drawing behaviors have been shown to be sensitive to the diagnosis of Alzheimer’s disease (AD) and mild cognitive impairment (MCI). However, previous studies focused on only analyzing individual behavioral modalities, although these studies suggested that each of these modalities may capture different profiles of cognitive impairments associated with AD. Objective: We aimed to investigate if combining behavioral data of gait, speech, and drawing can improve classification performance compared with the use of individual modality and if each of these behavioral data can be associated with different cognitive and clinical measures for the diagnosis of AD and MCI. Methods: Behavioral data of gait, speech, and drawing were acquired from 118 AD, MCI, and cognitively normal (CN) participants. Results: Combining all three behavioral modalities achieved 93.0% accuracy for classifying AD, MCI, and CN, and only 81.9% when using the best individual behavioral modality. Each of these behavioral modalities was statistically significantly associated with different cognitive and clinical measures for diagnosing AD and MCI. Conclusion: Our findings indicate that these behaviors provide different and complementary information about cognitive impairments such that classification of AD and MCI is superior to using either in isolation.
“No One Can Tell Me How Parkinson’s Disease Will Unfold”: A Mixed Methods Case Study on Palliative Care for People with Parkinson’s Disease and Their Family Caregivers
Authors: Lennaerts-Kats Herma , Ebenau Anne , van der Steen Jenny T. , Munneke Marten , Bloem Bastiaan R. , Vissers Kris C.P. , Meinders Marjan J. , Groot Marieke M.
Published: September 2021

Background: Palliative care for persons with Parkinson’s disease (PD) is developing. However, little is known about the experiences of patients with PD in the palliative phase and of their family caregivers. Objective: To explore needs of patients with PD in the palliative phase and of their family caregivers. Methods: A mixed methods case study design. Health care professionals included patients for whom the answer on the question “Would you be surprised if this patient died in the next 12 months?” was negative. At baseline, and after six and twelve months, we conducted semi-structured interviews with patients and caregivers. Participants completed questionnaires on quality of life, disease burden, caregiver burden, grief, and positive aspects of caregiving. We analyzed quantitative data using descriptive statistics, while we used thematic analysis for qualitative data. Results: Ten patients and eight family caregivers participated, of whom five patients died during the study period. While the quantitative data reflected a moderate disease burden, the qualitative findings indicated a higher disease burden. Longitudinal results showed small differences and changes in time. Patients reported a diverse range of symptoms, such as fatigue, immobility, cognitive changes, and hallucinations, which had a tremendous impact on their lives. Nevertheless, they rated their overall quality of life as moderate to positive. Family caregivers gradually learned to cope with difficult situations such delirium, fluctuations in functioning and hallucinations. They had great expertise in caring for the person with PD but did not automatically share this with health care professionals. Patients sensed a lack of time to discuss their complex needs with clinicians. Furthermore, palliative care was rarely discussed, and none of these patients had been referred to specialist palliative care services. Conclusion: Patients with PD experienced many difficulties in daily living. Patients seems to adapt to living with PD as they rated their quality of life as moderate to positive. Family caregivers became experts in the care for their loved one, but often learned on their own. An early implementation of the palliative care approach can be beneficial in addressing the needs of patients with PD and their family caregivers.
Endothelial nitric oxide synthase G894T, intron 4 VNTR, and T786C polymorphisms in retinopathy of prematurity
Authors: Tekkeşin F. , Yurdakok M. , Gumus E. , Babaoglu M.O. , Bozkurt A. , Caliskan Kadayifcilar S. , Eldem M.B. , Korkmaz A. , Yigit S. , Tekinalp G.
Published: September 2021

BACKGROUND: Our objective in this study was to assess the association between eNOS gene, that achieves synthesis of nitric oxide especially in the endothelial cells known to have an important role in angiogenesis and vasculogenesis, G894T, intron 4 VNTR (27-bp repeat) and T786C functional polymorphisms and retinopathy of prematurity (ROP), which is an important cause of morbidity in premature or low birth weight babies. METHODS: A total of 139 babies who were followed up in our neonatal intensive care unit because of premature birth in our hospital or admitted to our unit. 69 of them had retinopathy of prematurity and comprised the patients group. The remaining 70 babies who did not have ROP comprised the control group. An additional of 1 ml of blood samples were drawn from babies who were in the study groups during routine laboratory analysis. eNOS gene polymorphisms were determined by using polymerase chain reaction method. RESULTS: eNOS G894T, intron 4 VNTR and T786C gene polymorphisms did not differ between the patient and control groups (p > 0.05). Using logistic regression analysis; while gender did not differ between two groups; gestational age, birth weight, time on mechanical ventilation differ between two groups. After adjustment for variables other than eNOS gene polymorphisms, we found no significant difference in the genotype distribution of eNOS G894T, intron 4 VNTR and T786C polymorphisms (p > 0.05). CONCLUSION: We observed no association between ROP and eNOS gene polymorphisms but needs more investigation.
Treatment of upper limb spasticity with inhibitory repetitive transcranial magnetic stimulation: A randomized placebo-controlled trial
Authors: Gottlieb Anna , Boltzmann Melanie , Schmidt Simone B. , Gutenbrunner Christoph , Krauss Joachim K. , Stangel Martin , Höglinger Günter U. , Wallesch Claus-W. , Rollnik Jens D.
Published: September 2021

BACKGROUND: Upper limb dysfunction is a frequent complication after stroke impairing outcome. Inhibitory repetitive transcranial magnetic stimulation (rTMS) applied over the contralesional hemisphere is supposed to enhance the positive effects of conventional rehabilitative treatment. OBJECTIVE: This double-blind randomized placebo-controlled trial investigated whether inhibitory rTMS as add-on to standard therapy improves upper limb spasticity. METHODS: Twenty-eight patients (aged 44 to 80 years) with unilateral stroke in the middle cerebral artery territory were analyzed. Participants were randomly assigned to inhibitory, low-frequency (LF-) rTMS (n = 14) or sham-rTMS (n = 14). The primary outcome measure was the spasticity grade, which was assessed with the Modified Ashworth Scale (MAS). In addition, the Fugl-Meyer-Assessment (FMA) for the upper extremity (UE) and a resting-state fMRI were performed to measure motor functions and the sensorimotor network, respectively. RESULTS: The MAS score was reduced in the LF-rTMS group only, whereas the FMA score improved in both groups over time. Regarding the fMRI data, both groups activated typical regions of the sensorimotor network. In the LF-rTMS group, however, connectivity to the left angular gyrus increased after treatment. CONCLUSION: Changes in functional connectivity in patients receiving inhibitory rTMS over the contralesional motor cortex suggest that processes of neuronal plasticity are stimulated.
Culture, tradition, and the registration of deaths: The case of Kosovo
Authors: Kastrati Avni , Keilman Nico
Published: September 2021

Population statistics for Kosovo show an unusually high share of male deaths (SMD) among all deaths. Women have a very low status in traditional parts of Kosovo – a direct consequence of the so-called Kanun of Lekë Dukagjini. This set of behavioural rules, practiced in Northern Albania and Kosovo, is strongly associated with a patriarchal culture. According to the code, a woman cannot own immovable property. Thus, to register the death of a family member at the office for civil registration is less urgent for women than for men. We assume that female deaths are under-registered. (i) A high SMD is more prevalent among the population with primary education, compared to secondary or tertiary education. (ii) More women aged 65+ receive the basic pension than there are resident women in that age group. (iii) Islamic societies report SMDs in 2017–2019 that are markedly lower than SMDs from vital registration. Registration of a death at the Islamic society is required before the funeral can take place. Other factors could also explain the high SMD: under-registration of deaths among Serbs in Kosovo, violent deaths and smoking among men, and bad physical and mental health among veterans of the war of 1999.
Pandemic and disability: Challenges faced and role of technology
Authors: Parida Monnie , Sinha Manjira
Published: September 2021

The pandemic has affected every facet of human life. Apart from individual’s psychological and mental health issues, mobility, access and communication with high risk infection is a challenging situation. People with disabilities are more vulnerable to infections. The new changes in our social lifestyle (social distancing, limiting touch) can profoundly impact the day-to-day life of people with disabilities. In this paper, we will briefly discuss the situation faced by individuals with disabilities, some known remedies, and yet to be identified and curated technological remedies; the impact due to transition of special education toward online mode, and tips and tricks for better utilization of work from home concept by people with disabilities. Accessibility must be universal, accommodate all and encourage inclusivity. As rightly said by Helen Keller, “The only thing worse than being blind is having sight but no vision”; subsequently, going by the demands of the time, we should contribute towards the universal design approach by supporting people with disabilities and committing to the changes required in disability care to reduce the impact of the pandemic.
Recurrence Prediction Score of the Localy Advance Breast Cancer in West Sumatera Province, Indonesia
Authors: Qorina Shinta , Wirsma Arif Harahap  , Ricvan Dana Nindrea
Published: September 2021

Introduction: Breast cancer is the most common malignancy that occurs in women in the world, which is about 18% of cancer cases that occur in women. Every year there are 1 million new cases of breast cancer worldwide and nearly 60,000 patients die from this disease. Therefore, the authors want to find out more about the prognosis factors that play a role in influencing the survival of patients with locally advanced breast cancer in Padang city, West Sumatera Province Indonesia.

Methods: This study is a retrospective case-control study of locally advanced breast cancer for patients in Padang city. The study was conducted at the Surgical Oncology Division of Dr. M Djamil Padang Hospital, Ropana Suri Hospital, Ibnu Sina Hospital and Siti Rahmah Padang Hospital from September 2018 to December 2018. The total number of samples for the two groups was 242 people. The sampling technique used was convenience sampling.

Results: In this study 4 prognostic factors were found that had a significant effect on predicting breast cancer recurrence, namely histopathological type, stage, regional lymph and lymphovascular invasion with p <0.05.

Conclusion: Prognosis factors that influence breast cancer recurrence are histopathological type, stage, regional lymph node status and lymphovascular invasion. A scoring system is obtained that is good enough to predict the possibility of breast cancer recurrence.
Superficie comercial de Tulcán: Línea base para alcanzar un mercado local
Authors: Quinde Sari Freddy Richard
Published: September 2021

Este documento es parte de uno de los componentes del proyecto de investigación de Desarrollo fronterizo Ecuador - Colombia: Provincia del Carchi - Departamento de Nariño; periodo de análisis 2017 - 2019. Se tomó información de varias bases de datos de dicho componente, con el fin de exponer resultados y discusiones sobre la ciudad de Tulcán. Por tal motivo, se respeta la metodología de investigación del proyecto en las investigaciones realizadas a comerciantes y su local comercial, a los consumidores de locales comerciales independiente si son o no de Tulcán o Ipiales en el caso del gasto evadido y atraído. En términos generales, esta investigación mantiene un enfoque mixto, es de carácter descriptivo, y se sustenta en el análisis científicometodológico de las siguientes áreas de conocimiento: 1) Comercial en cuanto a que busca averiguar la composición del gasto familiar (gasto evadido y atraído), es decir, el consumidor y su preferencia con respecto a las superficies comerciales de la Zona de integración Fronteriza (ZIF). También busca describir los índices de rotación de inventario de las empresas y su crecimiento o decrecimiento en ventas. Por último, este componente presenta algunas consideraciones, entre ellas, las externalidades y otras como la política comercial en frontera y el nivel de inversión. 2) Empresarial en cuanto a que analiza la innovación y el desarrollo del emprendimiento, también se explica, el capital de trabajo en los sectores agrícolas y lácteos.
Safe Transportation of Nuclear Fuel Assemblies by Means of Wheeled Robotic Platforms
Authors: Alyokhina S. , Nevliudov I. , Romashov Yu.
Published: September 2021

Certain engineering problems concerning safety of the technological operations of the horizontal transportation of nuclear fuel within the enterprises’ sites were considered. Taking into account current trends in the introduction of robotic systems to reduce the impact of hazardous nuclear materials on personnel, the issue of automated control of the movement of the wheeled robotic platform, which can be used for horizontal transportation of nuclear fuel was studied. The major attention was paid to minimizing the transportation loads on nuclear fuel by means of decreasing the accelerations under its horizontal movement on the robotic wheeled transportation platform, which is a separate issue of the comprehensive safety problem of nuclear materials management.

The research of horizontal movement safety of nuclear fuel by means of the robotic wheeled platforms was limited to defining transportation accelerations and was performed by computer simulations using mathematical models of dynamics and electro-mechanics. The mathematical model of the robotic transport wheeled platform loaded with nuclear fuel with the on-board accelerometer ensuring the required measurements necessary for an automated safe movement control system  was built in the form of the Lagrange equations of the second kind and the electro-mechanics equations of the direct current electric motors. The issue of ensuring smooth running during the displacement of a wheeled platform loaded with nuclear fuel was investigated, since especially in this mode the maximum accelerations are observed, which can lead to nuclear fuel damage. Computer simulation was performed using free Scilab software with open program code. It was demonstrated that due to the proper choice of the time algorithm of the voltage of electric motors, it is possible to ensure a small acceleration during the displacement of a robotic wheeled transport platform loaded with nuclear fuel. The obtained result substantiated the possibility of safe horizontal transportation of nuclear fuel on robotic wheeled platforms within the territories of enterprises, which will significantly reduce the harmful impact of hazardous nuclear materials on industrial personnel.
Primeros pasos hacia la internacionalización en la Universidad Michoacana de San Nicolás de Hidalgo
Authors:   Facultad de Economía ", Vega Cano Rosa ,   Vasco de Quiroga",   de la Universidad Michoacana de San Nicolás de Hidalgo, México
Published: September 2021

La internacionalización se ha convertido en una de las principales tendencias de la educación superior y un imperativo para que estas instituciones puedan responder a los cambios y adaptarse a su entorno, razón por la cual este trabajo se planteó como objetivo estudiar de qué manera se está abordando la dimensión internacional en la Universidad Michoacana de San Nicolás de Hidalgo. Para ello se siguió un enfoque metodológico cualitativo; se revisaron documentos y bases de datos institucionales y se realizaron entrevistas semiestructuradas al personal de la Dirección de Vinculación y Desarrollo, área administrativa en la que se concentra información sobre el tema. La conclusión general que deriva es que esta universidad no ha integrado la dimensión internacional en sus funciones sustantivas, cuando mucho ha implementado algunos programas de internacionalización de manera marginal, aislada y sin un objetivo claro, y que para sentar las bases e impulsar el proceso de internacionalización es necesario llevar a cabo una reconfiguración académica, organizativa, administrativa y política, lo que constituye, al mismo tiempo, el principal reto al que tenga que enfrentarse esta institución.
THE USE OF JIGSAW COLLABORATIVE LEARNING METHOD IN TEACHING SOCIO-SCIENTIFIC ISSUES: THE CASE OF NUCLEAR ENERGY
Authors: Tekbiyik Ahmet
Published: September 2021

This research examines the influence of Jigsaw, which is a collaborative learning (CL) method, on students’ views and decision-making processes concerning the use of nuclear energy. The research included 60 fourth-year undergraduate students attending the science teacher training program of a university in Turkey in the 2013–2014 academic year. In the research, firstly an attempt was made to provide students with scientific literacy on the subject through Jigsaw method. Then the groups formed for the Jigsaw method created argumentative texts in which they expressed their views. In the end, the students developed positive attitudes and supported the establishment of nuclear power plants in Turkey. They had negative views about the use of nuclear energy before teaching. Their views turned to positive after teaching to a great extent. It was seen that gaining enough knowledge to do logical reasoning through teaching was influential on their capability to reach positive decisions. Furthermore, it was revealed that decision-making processes are affected by variables such as scientific literacy, awareness, and suggestions for reducing risks.
Key words: collaborative learning, Jigsaw, nuclear energy, socio-scientific issues.
THE DETERMINATION OF OPINIONS OF PRE-SERVICE SCIENCE TEACHERS ON THE CURRICULUM OF SCIENCE COURSES ON THE BASIS OF THE 3-IDIOTS MOVIE
Authors: Köklükaya Ayşe Nesibe
Published: September 2021

Science teaching emerged due to an attempt to understand the world around us and a sense of wonder at nature and survived until today by means of being supported by new research and findings. The implementation of science in schools is carried out with curriculums. The main purpose of the curriculum of science courses is to train all students in science literacy regardless of their individual differences. According to the educational program of sciences courses, audiovisual aids used in education with a learning objective which is one of these aids is one of the most effective ways to ensure permanent learning. Within this concept the purpose of the study is to determine the opinions of pre-service science teachers about the curriculum of the science lesson based upon the stories in the 3-Idiots movie. In this research, phenomenology research was used. As a data gathering tool, three semi-structured interview questions prepared accordingly to “3- Idiots” movie were used. According to the participants, the science curriculum must be lead in investigating, interrogating, criticising, curiosity and reconnoitering in terms of features that must be acquired for being scientifically literate individuals.
Key words: Pre-service science teachers’ perceptions, science, science curriculum, 3-idiots movie.
Travoprost- and Tafluprost-induced Changes in Intraocular Pressure and Ocular Pulse Amplitude
Authors: Lee Gyeong Min , Ha Seung Joo
Published: September 2021

Purpose: To compare the intraocular pressure reduction and changes in ocular pulse amplitude of travoprost 0.003% and tafluprost 0.0015%. Methods: We assessed patients who were diagnosed with open-angle glaucoma from January 2017 to July 2019 for the first time at our hospital. Forty-two eyes were assigned to the travoprost group (23 patients) and 26 eyes were assigned to the tafluprost group (14 patients). Changes in intraocular pressure were measured by Goldmann applanation tonometry (GAT), and corrected ocular pulse amplitude (cOPA) was measured using dynamic contour tonometry. Changes in these parameters were observed and compared for 1 year. Results: No significant differences were observed between the GAT measurements and the cOPA of patients treated with travoprost and tafluprost for 1 year (p = 0.512, p = 0.105). The change in initial intraocular pressure on GAT observed after 1 week was -5.32 ± 2.63 mmHg for travoprost and -3.79 ± 3.19 mmHg for tafluprost (p = 0.0457). The initial change in cOPA was +0.04 ± 0.9 mmHg in the travoprost group and -0.76 ± 0.97 mmHg in the tafluprost group (p = 0.0028). Conclusions: Travoprost and tafluprost reached the targeted intraocular pressure with no difference in the long-term effects of reduced intraocular pressure. However, travoprost was initially better at lowering intraocular pressure faster, and tafluprost had a greater effect on lowering OPA. Prostaglandin analogs can be selected individually by considering the aforementioned factors.
Changes in Iridocorneal Angle Configuration and Intraocular Pressure during Smartphone Use under Room Light
Authors: Lee Seong Taik , Park Su Jin , Kang Yong Koo , Shin Jae Pil , Kim Dai Woo , Park Dong Ho
Published: September 2021

Purpose: To investigate changes in intraocular pressure (IOP) and iridocorneal angle (ICA) configuration during smartphone use under room light. Methods: We included healthy adults aged 19-35 years with no ophthalmological abnormalities. All read text on a smartphone for 6 minutes under room light. IOP was measured via rebound tonometry at baseline and at 2, 4, and 6 minutes. ICA images were obtained via anterior segment optical coherence tomography after each IOP measurement. After 6 minutes, participants stopped reading text and rested for 2 minutes. IOP was then measured again. Results: The IOP significantly increased at 2, 4, and 6 minutes of reading compared to baseline (p < 0.001) but recovered to baseline after 2 minutes of rest (p = 1.000). The anterior chamber depth decreased significantly, and the anterior chamber angle width increased after 6 minutes of smartphone reading (both p < 0.05). Conclusions: IOP increased when reading smartphone text under room light but the ICA did not change. Prolonged smartphone reading is inappropriate for a patient at risk of glaucoma or glaucoma progression. Such patients should be cautioned.
Endophthalmitis and Retinal Detachment after Ocular Injury by Animal Inoculation Needle
Authors: Kwon Leeha , Cho Yong-Wun , Seo Seong-Wook , Kim Seong-Jae , Chung In Young , Yoo Woong-Sun
Published: September 2021

Purpose: To report a case of endophthalmitis and retinal detachment after injury caused by an animal inoculation needle. Case summary: A 39-year-old man received an injury to his left eye with an animal inoculation needle while vaccinating a pig came to the hospital due to decreased visual acuity. At initial presentation, the best-corrected visual acuity in the left eye was “counting fingers,” and slit lamp examination revealed corneal lacerations, anterior capsule rupture, and traumatic cataract. Ultrasonography showed no specific findings in the vitreous and retina. Primary corneal suture, phacoemulsification, anterior vitrectomy due to rupture of the posterior capsule and vitreous prolapse, intraocular lens implantation, and intravitreal antibiotic injection were performed. On day 1 postoperatively, vitrectomy, anterior chamber irrigation, intravitreal antibiotic injection, and silicone oil injection were performed as signs of endophthalmitis, such as hypopyon and retinal tear, and focal retinal detachment were observed during surgery. Silicone oil removal was performed 7 months after the operation and the best-corrected visual acuity was 0.6. There has been no recurrence during follow-up. Conclusions: This is the first report in Korea of ocular injury caused by an animal inoculation needle. If the fundus is not observed in such injuries, there is a possibility of endophthalmitis and retinal detachment and early vitrectomy should be considered.
Библиометрия открытого доступа: особенности эпохи COVID-19
Authors: Разумова Ирина Константиновна
Published: September 2021

Пандемия 2019 года создала уникальные условия для развития исследований в области нового коронавируса COVID-19. В докладе освещаются изменения в области публикационной и издательской деятельности, вызванные пандемией COVID-19. Задача решается библиометрическими методами на массиве публикаций базы Web of Science. Сравнительный анализ библиометрических показателей проведен для публикаций трех референтных групп: в области исследований нового коронавируса, в области клинической медицины и на полном массиве публикаций Web pf Science Core Collection (WoS CC) с учетом возможных типов открытого доступа. Зарегистрирован рост всех рассмотренных библиометрических показателей: числа публикаций (N), цитируемости (CI) и преимущественного цитирования статей открытого доступа (OACA) для группы СOVID-публикаций по сравнению с результатами, полученными для публикаций в области клинической медицины и для полного массива публикаций базы WoS CC. Для публикаций 2020 года отмечено резкое увеличение относительной доли статей бронзового открытого доступа. Этот факт объяснен политиками ведущих мировых издательств. Во время пандемии эти издатели размещают статьи в области коронавируса в отдельных коллекциях с бесплатным (бронзовым) доступом и в репозиториях открытого доступа (в основном, PubMedCentral). Анализ показывает, что возможности, предоставляемые издателями в отношении размещения публикаций в зеленом открытом доступе (репозиториях и платформах открытого доступа), используются в настоящее время не полностью. Рассмотрена деятельность НЭИКОН в части реализации проектов Открытого доступа, позволяющая участникам проектов пополнять репозитории своих организаций.
Adolescentes del África Occidental: motivaciones y reflexiones del proceso migratorio. Un análisis comparado
Authors: Navarro-Pérez José-Javier , Carbonell Ángela , Aguiar-Fernández Francisco Xavier
Published: September 2021

This article presents the perception of professional experts and adolescents from West Africa on their migration process and their passage through Spain as they head toward Europe. Its objectives are 1) identify the reasons to migrate, 2) analyze family’s influence on decision-making, and 3) point out the factors conditioning the migration process. Qualitative techniques such as a life story, a panel of professional experts, Delphi, and SWOT were used. The results further deepen into the scarcity of the families’ financial resources, the adult status that adolescents originally receive, low income, and low qualification as main motivationsfor migrating. In conclusion, thistype of migration isidentified and built on the same parameters as adults. Different perceptions were found between adolescents and professionals regarding remittances and family influence to migrate. As implications for the practice, it was identified the importance of specializing the protection system professionals who attend the needs of young migrants.
Retratando a peste no Brasil: imagens do passado, irrupções no presente
Authors: Brancato João Victor Rossetti , Silva Rosangela de Jesus
Published: September 2021

A vivência atual em um contexto pandêmico instiga à reflexão sobre como as pessoas do passado experienciaram situações análogas. Com foco na crise de Gripe Espanhola no Rio de Janeiro de 1918, propõe-se analisar sob perspectiva histórica algumas ilustrações e fotografias da doença na imprensa. As imagens são agrupadas em três temas: a eleição de culpados externos pela gripe, o agravamento do quadro sanitário e suas consequências para a população, e a representação dos líderes políticos. Ao longo do texto, busca-se traçar diálogos com o panorama contemporâneo, assolado pela Covid-19.
Coqueluche e mortalidade infantil em Paranaguá (1855-1858)
Authors: Borges Joacir Navarro
Published: September 2021

O presente artigo tem como objetivo analisar o surto de coqueluche que atingiu Paranaguá, cidade portuária brasileira localizada no litoral da Província do Paraná, e o impacto que esse surto teve sobre a mortalidade infantil da localidade no período. O surto atingiu crianças entre zero e oito anos de idade, com uma única exceção. A análise se baseou nos dados dos assentos de óbitos da paróquia de Nossa senhora do Rosário de Paranaguá. Como método de comparação, procedeu-se à análise da mortalidade infantil durante o surto, separando-se os óbitos provocados pela coqueluche e os óbitos provocados por outras causas e também comparando a mortalidade durante o surto com a mortalidade dos períodos anteriores e posteriores a ele. Este estudo permite conhecer melhor as causas da mortalidade infantil na cidade de Paranaguá em meados do século XIX.
A fragmentação da identidade do sujeito em contos de Cuti
Authors: Nunes Geovani Augusto , Alves Érica Fernandes
Published: September 2021

O presente estudo tem por objetivo analisar a fragmentação do sujeito negro no contexto atual sob o viés da Teoria Pós-Colonial. Para tanto, escolhemos os contos “Incidente na raiz” e “Boneca”, do escritor Cuti. Nesses contos, observamos as personagens protago-nistas a fim de verificar quais foram as heranças que o passado colonizador deixou nelas. Chegamos à conclusão de que a questão psicológica, que é justamente umas dessas heranças do período da escravidão, ainda é bastante atual e, por meio da literatura pós-colonial, essas questões são evidenciadas e discutidas para que possam, assim, ser superadas. Para tanto, em nossa análise, utilizaremos os estudos de Bonnici (2012), Fanon (2008) e Hall (2006) sobre as teorias de pós-colonialismo e identidade.
O vestuário como suporte de memória: uma breve discussão sobre as vivências em tempos de pandemia
Authors: Silveira Laiana Pereira da , Gautério Nicolli Bueno , Gautério Vanda Leci Bueno
Published: September 2021

O artigo tem como objetivo a discussão teórica a partir de uma abordagem macrossociológica acerca do tema sobre a relação de aconchego entre os sujeitos e o vestuário, bem como a percepção do “guarda-roupa enquanto caixa de memórias”. A discussão teórica desenvolvida foi pautada nos estudos das áreas de memória e identidade, através da perspectiva de Candau (2019), dos pressupostos psicana-líticos de Winnicott (1982), estudos norteadores da cultura material (Meneses, 1998; Dohmann, 2013) e do vestuário (Nacif, 2007; Miller, 2013). Relacionou-se tais pressupostos teóricos com os registros nos perfis da rede social Instagram analisados, os quais revelam a mudança das práticas do vestuário em meio ao cenário pandêmico. Conclui-se que as reflexões, nas quais nos apropriamos dos objetos pessoais que nos rodeiam, resultam na possibilidade de melhora individual, no contexto atual, por intermédio destes objetos.
Pro-regenerative Dialogue Between Macrophages and Mesenchymal Stem/Stromal Cells in Osteoarthritis
Authors: Bohaud Candice , Contreras-Lopez Rafael , De La Cruz Jholy , Terraza-Aguirre Claudia , Wei Mingxing , Djouad Farida , Jorgensen Christian
Published: September 2021

Osteoarthritis (OA), the most common degenerative and inflammatory joint disorder, is multifaceted. Indeed, OA characteristics include cartilage degradation, osteophytes formation, subchondral bone changes, and synovium inflammation. The difficulty in discovering new efficient treatments for OA patients up to now comes from the adoption of monotherapy approaches targeting either joint tissue repair/catabolism or inflammation to address the diverse components of OA. When satisfactory, these approaches only provide short-term beneficial effects, since they only result in the repair and not the full structural and functional reconstitution of the damaged tissues. In the present review, we will briefly discuss the current therapeutic approaches used to repair the damaged OA cartilage. We will highlight the results obtained with cell-based products in clinical trials and demonstrate how the current strategies result in articular cartilage repair showing restricted early-stage clinical improvements. In order to identify novel therapeutic targets and provide to OA patients long-term clinical benefits, herein, we will review the basis of the regenerative process. We will focus on macrophages and their ambivalent roles in OA development and tissue regeneration, and review the therapeutic strategies to target the macrophage response and favor regeneration in OA.