bluuebunny/crossref_metadata_2025 huggingface dataset:
A research on customer experiences and perceptions for Michelin starred restaurants
Authors: ŞAHİN Akın , ÇOLAKOĞLU Ülker , ÖZDOĞAN Osman Nuri
Published: March 2021

Michelin Guide is one of the well known world-recognized restaurant rating systems. This guide gives star symbols to restaurants that meet certain standards. Being a Michelin-starred restaurant in gastronomy sector is very important in terms of prestige. Having a star is becoming a factor that significantly affects customer potential as it means attesting to the flavour and ambience of restaurants. In this research, which measures consumers' perceptions of choosing Michelin restaurants, consumer reviews from Tripadvisor site were evaluated and to understand point of view of chefs and the managers a face to face interview conducted to 9 Michelin restaurants. The purpose of the study is to investigate the reasons that drive consumers to visit Michelin starred restaurants and to understand their perceptions. The research found that consumers are curious about Michelin restaurants, preferring to experience different titles such as food quality, hospitality, service and decoration from other restaurants. In addition, consumers who prefer Michelin restaurants evaluate the service as a whole, and the issues they care about come after the quality of the food.
The Prevalence of Gender-Based Violence against Women in South Africa : A Call for Action
Authors: Enaifoghe Andrew , Dlelana Melita , Abosede Durokifa Anuoluwapo , P. Dlamini Nomaswazi
Published: March 2021

The prevalence of gender-based violence in South Africa is an intense and widespread problem that impacts almost every aspect of life. This call for states’ intervention in the prevention of gender-based violence (GBV) in the country. Reports show that intimate partner violence and sexual coercion are the most common forms of GBV globally, and these are the types of violence that are explored in this paper. GBV has serious consequences for women’s health, such as homicides, suicides, AIDS-related deaths as well as physical injuries, chronic pain syndrome, gastrointestinal disorders, complications during pregnancy, miscarriage and low birth-weight of children. GBV also poses significant costs for the economies of both developed and developing countries alike, including low productivity and earnings, and low accumulation of human and social capital. Findings from literature show that violence can negatively affect women’s physical, mental, sexual, and reproductive health, and may increase the risk of acquiring HIV in some settings. The study called on the government to take imperative actions to address gender-based violence (GBV). It recommended the implementation of a more strategic plan having recognized the detrimental impact of GBV on the victims and the general society.
Boolean Hypercubes: The Origin of a Tagged Recursive Logic and the Limits of Artificial Intelligence
Authors: CARBÓ-DORCA Ramon
Published: March 2021

Boolean and logical hypercubes are discussed as providers of tags to logical object sets, transforming them into logical tagged sets, a generalization of fuzzy sets. The equivalence of Boolean and logical sets permits to consider natural tags as an equivalent basis of logical tagged sets. Boolean hypercube concatenation easily allows studying how Boolean information is transmitted. From there a Gödel-like behavior of Boolean hypercubes and thus of logical object sets can be unveiled. Later, it is discussed the iterative building of natural numbers, considering Mersenne numbers as upper bounds of this kind of recursive construction. From there information acquisition, recursive logic, and artificial intelligence are also examined.
Screening for Early-Stage Alzheimer’s Disease Using Optimized Feature Sets and Machine Learning
Authors: Kleiman Michael J. ,   for the Alzheimer’s Disease Neuroimaging Initiative, Barenholtz Elan , Galvin James E.
Published: March 2021

Background: Detecting early-stage Alzheimer’s disease in clinical practice is difficult due to a lack of efficient and easily administered cognitive assessments that are sensitive to very mild impairment, a likely contributor to the high rate of undetected dementia. Objective: We aim to identify groups of cognitive assessment features optimized for detecting mild impairment that may be used to improve routine screening. We also compare the efficacy of classifying impairment using either a two-class (impaired versus non-impaired) or three-class using the Clinical Dementia Rating (CDR 0 versus CDR 0.5 versus CDR 1) approach. Methods: Supervised feature selection methods generated groups of cognitive measurements targeting impairment defined at CDR 0.5 and above. Random forest classifiers then generated predictions of impairment for each group using highly stochastic cross-validation, with group outputs examined using general linear models. Results: The strategy of combining impairment levels for two-class classification resulted in significantly higher sensitivities and negative predictive values, two metrics useful in clinical screening, compared to the three-class approach. Four features (delayed WAIS Logical Memory, trail-making, patient and informant memory questions), totaling about 15 minutes of testing time (∼30 minutes with delay), enabled classification sensitivity of 94.53% (88.43% positive predictive value, PPV). The addition of four more features significantly increased sensitivity to 95.18% (88.77% PPV) when added to the model as a second classifier. Conclusion: The high detection rate paired with the minimal assessment time of the four identified features may act as an effective starting point for developing screening protocols targeting cognitive impairment defined at CDR 0.5 and above.
Infectious Disease Burden and the Risk of Alzheimer’s Disease: A Population-Based Study
Authors: Douros Antonios , Santella Christina , Dell’Aniello Sophie , Azoulay Laurent , Renoux Christel , Suissa Samy , Brassard Paul
Published: March 2021

Background: Previous studies suggested a link between various infectious pathogens and the development of Alzheimer’s disease (AD), posing the question whether infectious disease could present a novel modifiable risk factor. Objective: To assess whether infectious disease burden due to clinically apparent infections is associated with an increased risk of AD. Methods: We conducted a population-based nested case-control study using the United Kingdom Clinical Practice Research Datalink. We included all dementia-free subjects ≥50 years of age enrolling in the database between January 1988 and December 2017. Each case of AD identified during follow-up was matched with up to 40 controls. Conditional logistic regression estimated adjusted odds ratios (ORs) with 95% confidence intervals (CIs) of AD associated with ≥1 infection diagnosed > 2 years before the index date compared with no infection during the study period. We further stratified by time since first infection and cumulative number of infections. Results: The cohort included overall 4,262,092 individuals (mean age at cohort entry 60.4 years; 52% female). During a median follow-up of 10.5 years, 40,455 cases of AD were matched to 1,610,502 controls. Compared with having no burden of infectious disease, having a burden of infectious disease was associated with an increase in the risk of AD (OR, 1.05; 95% CI, 1.02 to 1.08). The risk increased with longer time since first infection, peaking after 12–30 years (OR, 1.11; 95% CI, 1.05–1.17). The risk did not increase with cumulative number of infections. Conclusion: The overall risk of AD associated with infectious disease burden was small but increased gradually with longer time since first infection.
Research on the expression of new visual intelligence system based on machine learning technology
Authors: Li Zuoshan
Published: March 2021

With the continuous progress of society, the level of science and technology of the country has made a leap forward development, the research energy of various industries on new science and technology continues to deepen, greatly promoting the promotion of science and technology. At the same time, with the increase in social pressure, more and more people pursue spiritual relaxation, and appropriate leisure and entertainment activities have gradually become a part of people’s life. Film plays an irreplaceable role in leisure and entertainment. Mainly from the background of the development of the film industry towards intelligent direction, and then use machine learning technology to study the application of film animation production and film virtual assets analysis and investigation. Based on the Internet of things technology, we also vigorously develop the ways and methods of visual expression of movies, and at the same time introduce new expression modes to promote the expression effect of the intelligent system. Finally, by comparing various algorithms in machine learning technology, the results of intelligent expression of random number forest algorithm in machine learning technology are more accurate. The system is also applied to 3D animation production to observe the measurement error of 3D motion data and facial expression data.
A Novel deep learning approach for the automated diagnosis of normal pressure hydrocephalus
Authors: Rudhra B , Malu G , Sherly Elizabeth , Mathew Robert
Published: March 2021

Normal Pressure Hydrocephalus (NPH), an Atypical Parkinsonian syndrome, is a neurological syndrome that mainly affects elderly people. This syndrome shows the symptoms of Parkinson’s disease (PD), such as walking impairment, dementia, impaired bladder control, and mental impairment. The Magnetic Resonance Imaging (MRI) is the aptest modality for the detection of the abnormal build-up of cerebrospinal fluid in the brain’s cavities or ventricles, which is the major cause of NPH. This work aims to develop an automated biomarker for NPH segmentation and classification (NPH-SC) that efficiently detect hydrocephalus using a deep learning-based approach. Removal of non-cerebral tissues (skull, scalp, and dura) and noise from brain images by skull stripping, unsharp-mask based edge sharpening, segmentation by marker-based watershed algorithm, and labelling are performed to improve the accuracy of the CNN based classification system. The brain ventricles are extracted using the external and internal markers and then fed into the convolutional neural networks (CNN) for classification. This automated NPH-SC model achieved a sensitivity of 96%, a specificity of 100%, and a validation accuracy of 97%. The prediction system, with the help of a CNN classifier, is used for the calculation of test accuracy of the system and obtained promising 98% accuracy.
Towards voice based prediction and analysis of emotions in ASD children
Authors: Sukumaran Poornima , Govardhanan Kousalya
Published: March 2021

Voice processing has proven to be an eminent way of recognizing the various emotions of the people. The objective of this research is to identify the presence of Autism Spectrum Disorder (ASD) and to analyze the emotions of autistic children through their voices. The presented automated voice-based system can detect and classify seven basic emotions (anger, disgust, neutral, happiness, calmness, fear and sadness) expressed by children through source parameters associated with their voices. Various prime voice features such as Mel-frequency Cepstral Coefficients (MFCC) and Spectrogram are extracted and utilized to train a Multi-layer Perceptron (MLP) Classifier to identify possible emotions exhibited by the children thereby assessing their behavioral state. This proposed work therefore helps in the examination of emotions in autistic children that can be used to assess the kind of training and care required to enhance their lifestyle.
Continual learning classification method for time-varying data space based on artificial immune system
Authors: Li Dong , Liu Shulin , Gao Furong , Sun Xin
Published: March 2021

Classification methods play an important role in many fields. However, they cannot effectively classify the samples from sample spaces that are varying with time, for they lack continual learning ability. A continual learning classification method for time-varying data space based on artificial immune system, CLCMTVD, is proposed. It is inspired by the intelligent mechanism that memory cells of the biological immune system can recognize and eliminate previous invaders when they attack again very fast and more efficiently, and these memory cells can evolve with the evolution of previous invaders. Memory cells were continuously updated by learning testing data during the testing stage, thus realize the self-improvement of classification performance. CLCMTVD changes a linearly inseparable spatial problem into many classification problems of several different times, and it degenerates into a common supervised learning classification method when all data independent of time. To assess the performance and possible advantages of CLCMTVD, the experiments on well-known datasets from UCI repository, synthetic data and XJTU-SY rolling element bearing accelerated life test datasets were performed. Results show that CLCMTVD has better classification performance for time-invariant data, and outperforms the other methods for time-varying data space.
A grey approach to site selection for nursing homes: An extension of the fuzzy analytic hierarchy process
Authors: Fan Yun , Fang Zhigeng , Liu Sifeng , Liu Jun
Published: March 2021

The construction of more nursing homes has become one of the most needed pension services in China, and the issue of site selection is one of the most important steps in their construction. The problem of site selection for nursing homes is a complex system engineering problem that involves not only economic interests but also social interests. Due to the limitations of human thinking in the evaluation process, the evaluation value of a nursing home site might be an interval grey number. Moreover, the evaluation indicator system for nursing home locations is a two-layer system that has been neglected in the literature. Therefore, the fuzzy analytical hierarchy process is extended to a new grey approach, i.e., the grey analytic hierarchy process, which can solve the evaluation problems for a two-layer indicator system under an interval grey environment. By constructing a three-point interval grey number, grey evaluation criteria are given to obtain a judgment matrix for interval grey numbers. Definitions of the initial weights, nongreyness weights and integrated weights are proposed to find the best evaluation object. Finally, the effectiveness of the method proposed by this paper is verified by comparative analyses of other grey methods.
Enhancing firefly algorithm with multiple swarm strategy
Authors: Cao Lianglin , Ben Kerong , Peng Hu
Published: March 2021

Firefly algorithm (FA) is one of most important nature-inspired algorithm based on swarm intelligence. Meanwhile, FA uses the full attraction model, which results too many unnecessary movements and reduces the efficiency of searching the optimal solution. To overcome these problems, this paper presents a new job, how the better fireflies move, which is always ignored. The novel algorithm is called multiple swarm strategy firefly algorithm (MSFFA), in which multiple swarm attraction model and status adaptively switch approach are proposed. It is characterized by employing the multiple swarm attraction model, which not only improves the efficiency of searching the optimal solution, but also quickly finds the better fireflies that move in free status. In addition, the novel approach defines that the fireflies followed different rules in different status, and can adaptively switch the status of fireflies between the original status and the free status to balance the exploration and the exploitation. To verify the robustness of MSFFA, it is compared with other improved FA variants on CEC2013. In one case of 30 dimension on 28 test functions, the proposed algorithm is significantly better than FA, DFA, PaFA, MFA, NaFA,and NSRaFA on 24, 23, 23, 17, 15, and 24 functions, respectively. The experimental results prove that MSFFA has obvious advantages over other FA variants.
Fusion of part-of-speech vectors and attention mechanisms for cross-domain sentiment analysis
Authors: Lu Ting , Xiang Yan , Liang Junge , Zhang Li , Zhang Mingfang
Published: March 2021

The grand challenge of cross-domain sentiment analysis is that classifiers trained in a specific domain are very sensitive to the discrepancy between domains. A sentiment classifier trained in the source domain usually have a poor performance in the target domain. One of the main strategies to solve this problem is the pivot-based strategy, which regards the feature representation as an important component. However, part-of-speech information was not considered to guide the learning of feature representation and feature mapping in previous pivot-based models. Therefore, we present a fused part-of-speech vectors and attention-based model (FAM). In our model, we fuse part-of-speech vectors and feature word embeddings as the representation of features, giving deep semantics to mapping features. And we adopt Multi-Head attention mechanism to train the cross-domain sentiment classifier to obtain the connection between different features. The results of 12 groups comparative experiments on the Amazon dataset demonstrate that our model outperforms all baseline models in this paper.
Semi-supervised semantic segmentation using an improved generative adversarial network
Authors: Xu Di , Wang Zhili
Published: March 2021

This paper proposes a better semi-supervised semantic segmentation network using an improved generative adversarial network. It is important for the discriminator on the pixel level to know whether it correctly distinguishes the predicted probability map. However, currently there is no correlation between the actual credibility and the confidence map generated by the pixel-level discriminator. We study this problem and a new network is proposed, which includes one generator and two discriminators. One of the discriminators can output more reliable confidence maps on the pixel level and the other is trained to generate the probability on the image level, which is used as the dynamic threshold in the semi-supervised module instead of being set manually. In addition, the trusted region shared by the two discriminators is used to provide the semi-supervised reference. Through experiments on the PASCAL VOC 2012 and Cityscapes datasets, the proposed network brings better gains, proving the effectiveness of the network.
Cognitive training interventions for dementia and mild cognitive impairment in Parkinson’s disease - A cochrane review summary with commentary
Authors: Loetscher Tobias
Published: March 2021

BACKGROUND: The majority of people living with Parkinson’s disease will develop impairments in cognition. These impairments are associated with a reduced quality of life. OBJECTIVE: The Cochrane Review aimed to investigate whether cognitive training improves cognition in people with Parkinson’s disease and mild cognitive impairments or dementia. METHODS: A Cochrane Review by Orgeta et al. was summarized with comments. RESULTS: The review included seven studies with a total of 225 participants. There was no evidence for improvements in global cognition when cognitive training was compared to control conditions. Observed improvements in attention and verbal memory measures after cognitive training could not be confirmed in a subsequent sensitivity analysis. There was no evidence for benefits in other cognitive domains or quality of life measures. The certainty of the evidence was low for all comparisons. CONCLUSIONS: The effectiveness of cognitive training for people with Parkinson’s disease and cognitive impairments remains inconclusive. There is a pressing need for adequately powered trials with higher methodological quality.
Discussing the future of open peer-review: a survey of journals in the JCR Public, Environmental and Occupational Health category
Authors: Barbaro Maria Cristina , Napolitani Federica , Barbaro Annarita
Published: March 2021

The journals listed in the JCR Public, Environmental and Occupational Health category are examined by the authors in order to check how many of them practice some kind of Open Peer-Review (OPR). An overview of the different OPR methods identified is given: a variety of practices considered as OPR even though the number of journals using them is very small. Furthermore, the possible future evolution of OPR is examined.
Implementación de un diseño metodológico para la educación médica a distancia en tiempos de Covid-19
Authors: Estrada Fonseca Rosío de la Caridad , Mendoza Molina Asiris , Martínez Rodríguez María de los Ángeles , Díaz Estrada Roxana , García Navarrete Regla de la Caridad , Pérez Díaz Yailin
Published: March 2021

El desafío de la vinculación de estudiantes universitarios en el combate de una enfermedad emergente, altamente contagiosa y la mantención de la continuidad del proceso educativo desde los escenarios de Atención Primaria de Salud en tiempos de COVID, requiere de alternativas didácticas que permitan describir la implementación de un diseño metodológico para la educación médica a distancia, durante la pesquisa de COVID-19, en el municipio Santo Domingo, Cuba. Desde el Departamento Docente de la Dirección Municipal de Salud se conformó un grupo asesor que realizó —sobre la base de los referentes teóricos establecidos a través de una búsqueda digital en sitios nacionales e internacionales— la propuesta de un modelo integrador para la enseñanza de pre y postgrado con la modalidad de educación a distancia, empleando las variantes m-learning y b-learning. En el diseño del modelo se consideró los componentes pedagógicos, organizacionales, tecnológicos y los de evaluación de la calidad. Con la implementación de la propuesta se conformó una comunidad virtual para la docencia de salud en el territorio que abarcó la educación de pre y postgrado. Los indicadores alcanzados en ambas enseñanzas fueron muy favorables, se logró la promoción de todos los estudiantes insertados al modelo, con alto nivel de satisfacción. Los estudiantes y profesores aceptaron y superaron el reto. El modelo diseñado garantizó la continuidad del proceso docente educativo hasta su culminación con resultados satisfactorios para la enseñanza de pre y postgrado, la experiencia permitió perfeccionar y enriquecer el crecimiento profesional en el territorio y establece un precedente para futuras intervenciones.
CSR Practices in Food and Beverage Companies During Pandemic
Authors: Handayati Puji , Wafaretta Vega , Anugrahani Inanda Shinta , Fauzan Slamet
Published: March 2021

The covid-19 pandemic affects businesses facing the dilemma between the company's health and risks. This study aims to investigate the practice of CSR of food and beverage companies in Malang on the economic and social dimensions before and during the pandemic. The survey was conducted by distributing questionnaires directly to the managers or owners of the companies. Thirty questionnaires were descriptively analyzed. The results of this study indicate that some companies in Malang increase their CSR quality during the pandemic, such as by adding CSR quantity, implementing health protocols inside their restaurants, maintaining product cleanliness, giving more attention to employees' health, and increasing more alms by distributing masks and vitamins to customers and the public.
ЕКО-ЕРГОНОМІЧНЕ ПРОЕКТУВАННЯ РОБОЧОГО СЕРЕДОВИЩА
Authors: Protasenko O. , Mygal G.
Published: March 2021

The necessity of applying new directions of ergonomics to improve safety at work is considered. The relevance is conditioned by the awareness of the problem of limited natural resources and the negative impact of human activity on the environment. It led to the necessity of rethinking the concept "security" from the standpoint of sustainable development of society. Today, safety is the procuring of harmonious relations between human and the environment in all spheres of activity. In terms of occupational safety, new areas of ergonomics such as ergoecology, green ergonomics and eco-ergonomic designing can be useful in creating such balance. The work focuses on using eco-ergonomic designing principles in matters of ensuring industrial safety. Thus, the aim is the practical application of the eco-ergonomic designing principles to improve safety at working place. At researching the basic eco-ergonomic designing principle was applied - the search of an optimal combination of working conditions and technical procuring at the workplace, which would suit modern psychophysiological, social, engineering and ecological requirements. The prime tool of researching is a practical analysis of workplaces, an essential component of which is the assessment system. Based on the study results, problematic issues at workplaces got identified, and a search for their solutions got carried out. It is shown that using eco-ergonomic designing in matters of ensuring safety at the workplace makes it possible to implement the trinity necessary to maintain and preserve human health - eco-friendliness, comfort and safety. The work results: 1) for effective management of industrial safety it is necessary to make a transition from closed systems “man-machine-working environment” to open systems “man-machine-working environment-environment” through the application of the eco-ergonomic designing principles; 2) the method of eco-ergonomic assessment got proposed as the first step to a qualitative improvement in the interaction between humans and the environment; 3) modern engineers in eco-ergonomic designing should be trained in this area, taking into account the principles of human factor engineering. The practical significance of the results is in identifying problems in the functioning of the system "man-machine-working environment-environment" and determining effective measures to eliminate them. The results of its approbation proposed assessment system at the flexo printed product's enterprise confirm the effectiveness.
КОМПОНЕНТ ТЕМНОЇ МАТЕРІЇ І СОНЦЕ
Authors: Нарожный А. Н. , Шлифер Д. М.
Published: March 2021

Some consequences from the hypothesis of the origin of particles of one of the components of dark matter are presented. The reason for the hypothesis was the observational data of stellar radiation, considered through the prism of the relationship of all phenomena in Nature and the law of conservation of energy. It is argued that a part of the stellar electromagnetic radiation, which does not participate in the interaction with baryonic matter, will not wander forever in space. This radiation will interact with a subtle level of matter, continuously giving it its energy, shifting to the microwave region. In this frequency region, two quanta of close energies can form a neutral boson of spin 0, or spin 2, on opposite “courses”. Based on the observed spectrum of cosmic microwave radiation, it is assumed that these Bose particles have a continuous mass spectrum. These light nonrelativistic bosons are precisely the component of the thin medium that interacts with stellar radiation, taking energy from it. Bose particles participate in gravitational interactions. This means that in addition to the distribution of dark matter around galaxies, an increased concentration of particles in the form of large clouds can be observed in it. If an internal shock wave appears in such a cloud, located far from galactic streams of baryon particles, it will destroy the particles of the cloud, creating “strange radio circles” visible exclusively in the radio range. The gravitational interaction causes dark particles to drift towards large clusters of visible matter. The process of their drift to massive objects will be accompanied by resistance from the outgoing stellar radiation. Therefore, near the surface of a burning star, these particles themselves will resist the outgoing radiation, shifting it towards longer wavelengths. The plasma ejected by the star, with sufficient energy of its particles, is capable of destroying the particles of the dark component, creating pairs of photons and providing itself with "seed" quanta for bremsstrahlung. Free quanta remaining from the decay of dark particles will give microwave radiation. Therefore, burning stars should exhibit a redshift in the emission spectra and microwave radiation. Taking a certain model in the distribution of the dark component of matter near the Sun, it is possible to predict the nature of the redshift in the spectra of its radiation as the observation point moves along the solar disk from its center to the limb. A similar conclusion is made regarding the intensity of microwave radiation near the surface of the star. The galactic movement of the Sun should lead to some temperature effects associated with a denser counter flow of dark particles to the corresponding area of the solar surface. Knowing the direction of motion of the Sun in the Galaxy, based on the results of the temperature deviation on the surface of the star, one can determine the local speed and direction of movement of the cloud of the dark component of matter.
Fiziksel Aktivitenin Kısıtlanması: Yetişkin ve Yaşlı Yetişkin Bireyler Arasındaki Farklılıklar
Authors: DEĞER Ecem Büşra , VARDAR Selma Arzu
Published: March 2021

Fiziksel hareketsizlik, vücut yapılarının ve işlevlerinin genelde azalma eğilimi gösterdiği ve kardiyovasküler hastalıklar, hipertansiyon, tip 2 diyabet, dislipidemi gibi hastalıkların oluşumu açısından risk artışına neden olan bir süreçtir. Koronavirüs (Covid-19) pandemisi ileri yaşlı kişilerde fiziksel aktivite düzeylerinin azalmasına, fiziksel hareketsizliğin artmasına neden olmuştur. Fiziksel aktivite düzeyinin azalmasına neden olan bu pandemi döneminde ileri yaştaki bireylerin fiziksel hareketsizlik durumundan etkilenme riskleri genç yaşlardaki bireylere göre daha fazladır. Bu derlemede, fiziksel aktivite azlığının yaşlıların kas iskelet sisteminde ve performansında yaratacağı değişimler ile kronobiyolojik değişimler incelenmektedir. Ayrıca yetişkinler (18-64 yaş) ile yaşlı yetişkinler (≥65 yaş) arasında metabolik süreçler, kardiyak ve bağışıklık sistemi açısından görülen farklılıklar üzerinde durulmaktadır.
La entrega de malas noticias : un aspecto a reforzar en el estudiante de medicina.
Authors: Lozada Martínez Iván David , Aristizábal Carmona Brayan Stiven , Valencia Sánchez Laura , Picón Jaimes Yelson Alejandro , Rebolledo Maldonado Carlos Eduardo , Moscote Salazar Luis Rafael
Published: March 2021

La comunicación de malas noticias corresponde a un momento en la vida de los profesionales de la salud que es difícil de afrontar. Desafortunadamente, en la actualidad bajo el catastrófico escenario de la pandemia por COVID-19, se ha intensificado el hecho de informar desenlaces negativos, como los son la morbilidad asociada a esta patología, la discapacidad e incluso la mortalidad ocurrida, lo que constituye un reto para el personal sanitario. Sin embargo, no hace falta enfocarse en esta entidad emergente para pensar en la comunicación de malas noticias, pues el diagnostico de patologías oncológicas, el establecimiento de un pronóstico ante una enfermedad incierta, la decisión sobre el uso de una intervención que pueda o no comprometer la vida de un paciente, los cuidados al final de la vida, son solo algunos de los ejemplos que se dan a diario y que muchas veces no se analizan con el rigor que requieren. El estudiante de medicina durante su etapa de aprendizaje se enfrenta a la necesidad del desarrollo de la tenacidad y sensibilidad ante este tipo de actos y debe definir los aspectos básicos pero fundamentales para la posterior asimilación de estos eventos durante su labor como profesional. Es justo en esta etapa estudiantil donde los futuros sanitarios pueden comprender el sentimiento de calamidad e incertidumbre que embarga al paciente, a los familiares, y al mismo educando en sí, y de esta forma promover y desarrollar una práctica médica de calidad orientada hacia la humanización de los servicios de salud.
Sosyal Medyadaki Beslenme ile İlgili Paylaşımların Yetişkin Bireylerin Yeme Tutum ve Davranışlarına Etkisi
Authors: Sipahi Simge , Demirel Birsen
Published: March 2021

Amaç: Bu araştırma sosyal medyadaki beslenmeyle ilgili paylaşımların yetişkin bireylerin yeme tutum ve davranışlarına olan etkisini belirlemek amacıyla planlanmıştır.

Bireyler ve Yöntem: Bu çalışma, Aralık 2017-Kasım 2018 tarihleri arasında İstanbul ilinde ikamet eden, 25-65 yaş arası 350 yetişkin birey ile yürütülmüştür. Çalışmaya katılmayı kabul eden bireylere genel sağlık bilgileri, sosyal medya kullanımlarının derlenmesi ve yeme tutum ve davranışlarının belirlenmesinde kullanılan ölçek (YTT-40) uygulanmış takiben katılımcıların vücut ağırlığı ve boy uzunluğu olmak üzere antropometrik ölçümleri alınmıştır. Kesim noktası 30 puan olarak bildirilen yeme tutum ölçeğinin değerlendirmesi sonucunda ölçekten 30 ve üzeri puan alan katılımcılar olumsuz yeme tutum davranışına sahip olarak belirlenmiştir.

Bulgular: Çalışmadaki kadın katılımcıların %85.4’ü (n=233), erkek katılımcıların %82.9’u (n=117) sosyal medya kullanmaktadır. En sık kullanılan sosyal medya platformunun Instagram olduğu belirlenmiştir. Sosyal medyada paylaşılan beslenme konulu paylaşımlara kadınlar, erkeklere göre daha ilgilidir (p<0.05). Olumsuz yeme tutum davranışına sahip bireyler, sosyal medyada beslenme konularını daha çok takip etmektedir (p=0.003). Bireyler sosyal medyadan etkilenerek su tüketimini arttırmak (%46.3), etiket bilgisine dikkat etmek (%16.6), hazır besin tüketimini azaltmak (%16.6) gibi olumlu davranış değişiklikleri (%46.3) geliştirdiklerini bildirmişlerdir. Çalışmadaki bireylerin yalnızca %8.1’i sosyal medyadaki beslenme konulu paylaşımların yeterli bilgiyle hazırlandığını düşünürken, beslenme konulu paylaşımların bilgi düzeylerini arttırdığına inananların oranı %73.6’dır. Katılımcılar beslenme konulu paylaşımlarda diyetisyenleri (%58.6) en güvenilir bilgi kaynağı olarak ifade etmişlerdir.

Sonuç: Bilgi edinmede hızlı, önemli ve etkili bir araç olan sosyal medyada beslenme ile ilgili yer alan paylaşımların, bireylerin davranış değişikliği geliştirmesinde etkili olduğu tespit edilmiştir. Bu nedenle beslenme ile ilgili paylaşımlar konunun uzmanları tarafından yapılmalı ve ilgili kurumlar tarafından denetlenmelidir.
Pengendalian Kebisingan Dari Aktivitas Penerbangan di Lingkungan Sekitar Bandara Sultan Thaha Jambi dengan Pemanfaatan Ruang Terbuka Hijau
Authors: Sodiq Nur , Saragih G M , Herawati Peppy
Published: March 2021

Noise is a sound pollution and its existence is undesirable in a certain level and time, which has the potential to cause human health problems and environmental comfort. One of the causes of noise levels is due to airport operational activities, from landing to take off. For this reason, it is necessary to control the noise around the Sultan Thaha Jambi airport area, by utilizing green open space as a barrier that can reduce noise levels. This study aims to determine the level of airport noise in certain zones and evaluate the existence of green open space (RTH) whether it is appropriate to become a natural barrier as a barrier to reduce noise caused by flight activities from Sultan Thaha Jambi airport. The results showed the noise level dB (A) from flight activities in each zone, namely the lowest in zones 1 and 3, amounting to 52.08 dB (A), and the highest in zone 5 at 87.93 dB (A). , while the existence of Green Open Space (RTH) is only in zone 1, and 3 are forest park areas, and fields around the Sultan Thaha Jambi airport area, so the existence of this Green Open Space (RTH) is able to reduce noise levels by 2.11 dB (A) based on KEP-48 / MNLH / 11/1996 the quality standard of the allowable noise level is 50 dB (A). While zone 5 is a residential area, the noise level figure is quite high, namely 87.93 dB (A), due to the densely populated area, lack of green open space (RTH), and proximity to motorized vehicle transportation activities, and adjacent to the runway. runway airport. However, not all activities are carried out continuously. So that the residential area is still feasible if exposed to noise exposure either from airport activities or other activities.
Pengaruh Internal Locus Of Control, Pemberian Punishment Dan Gaya Belajar Visual Terhadap Prestasi Belajar Mahasiswa STKIP Nasional Pariaman
Authors: Sumarni Sumarni , Refinaldi Refinaldi
Published: March 2021

The purpose of this study, among others, is to analyze the effect of partially and simultaneously Internal Locus Of Control, Punichment Giving, and Visual Learning Style on Student Learning Achievement of STKIP Nasional Pariaman. The method used is quantitative research with the research design used associative research. The entire sample in this study was taken from the total population of class 2017 to 2019, so that the sample size was 33 students. The data analysis technique used in this study is multiple linear regression analysis. The results showed that the variables Internal Locus of Control, Punichment Giving and Visual Learning Style had a positive and partially significant effect on Student Learning Achievement. This can be seen from the level of significance of the t test conducted at p = 0.000 for the Internal Locus of Control variable, p = 0.004 for the Punichment Giving variable, and p = 0.009 for the Visual Learning Style variable. Each of these independent variables has a p value <0.05. So it can be said that ho is rejected and Ha is accepted. Simultaneously the Internal Locus Of Control variable, Punichment Giving and Visual Learning Style have a positive and significant effect on Student Learning Achievement. This can be seen from the level of significance of the F test which was carried out at 0.000 <0.05.
Pengembangan Media Audio Visual Mata Pelajaran Biologi Kelas XII IPA SMA Pokok Bahasan Substansi Genetik SMA Negeri 4 Kota Jambi
Authors: Wiadi Deden Darma
Published: March 2021

The aim of this reaserch is to get interactive audio visual teaching media on the discussion about teaching Genetic Substance that can be used by teacher and educators so that it can vary and improve teaching and learning quality at senior high school. The method is model designing multimedia based research consisted of five stoges : 1) analysis; 2). Design; 3). Development; 4). Implementation and 5). Evaluation. The outcome of this research was media which were developed very well. It can be describle by the following : (1). Media validity gave good criteria to the media based on the visual look, and (2). Material validity gave good criteria based on the media produced in the research, (3). As a peer evaluation state that the product is worth given to a small Group to learner as a user, (4) student’s response showed from the test given to a small group of student state that this audio visual media had good quality so that it’s easy to understand, (5). Student’s response showed from the test given to a large group of student state that the media produced in this research can improve the student’s interest to study. The research was conducted SMA N 4 Jambi, the subjects were all 12th grade students and the teacher of Biology subject
Peningkatan Kualitas Pembelajaran IPA Melalui Pendekatan Inkuiri dengan Media Video Pada Peserta Didik Kelas III SDN 111/IX Desa Muhajirin
Authors: Mawarni Ely
Published: March 2021

The problems that occur teachers do not apply varied learning and less developed methods. The teacher always views that learning must memorize, always read books, and work on problems. As a result, students feel bored, and less enthusiastic, shown by low student learning outcomes. The purpose of this study was to improve the quality of science learning which includes teacher skills, student activities, and student learning outcomes in grade III students of SDN 111 / IX Muhajirin Village. The design of this research is classroom action research with the stages of planning, implementing the action (applying the inquiry approach with video media), observing and reflecting. This research was conducted in 2 cycles, each cycle consisting of 2 meetings and carried out in 4 stages. This research was conducted at SDN 111 / IX Muhajirin Village, with the subject of this study being the teacher (researcher) and 34 students. In data collection, the techniques used are tests, observation, and documentation. The data analysis technique used was quantitative and qualitative data. The results of this study: (1) The teacher's skills in the first cycle obtained a total score of 13 in the sufficient category, and in the second cycle the score increased to 29 in the very good category. (2) The activity of students in the first cycle the average score for the activity of students was 22.3 in the good category, in the second cycle the average score for the activity of students increased to 28.5 in the very good category. (3) The learning outcomes of students in cycle I classical completeness reached 59% (20 of 34 students) with an average class score of 72.27 and in cycle II increased to 88% (30 of 34 students) with an average grade -averaged 84.23. The use of an inquiry approach using video media in science learning can improve teacher skills, student activities, and learning outcomes in class III students of SDN 111 / IX Muhajirin Village. The inquiry approach using video media improves the quality of learning so it is suggested that it can be applied to other learning.
Pemanfaatan Perpustakaan Sekolah Sebagai Sumber Belajar Siswa Sekolah Dasar Negeri 111/IX Muhajirin
Authors: Supatni Wara
Published: March 2021

The problem examined in this study is the lack of maximum utilization of school libraries as learning resources. Focus of the problem: how to use the school library as a learning resource for students of SDN 111 / IX Muhajirin Village. The purpose of this study is to describe the use of school libraries as learning resources for students of SDN 111 / IX Muhajirin Village. The approach used in this research is qualitative. This type of research is descriptive research. This research was conducted from class I-VI SDN 111 / IX Muhajirin Village in February-April 2019. The subjects in this study were students of class I-VI SDN 111 / IX Desa Muhajirin, totaling 30 people consisting of 16 males and 14 women, homeroom teacher, librarian, and principal. Collecting data in this study using observation sheets, interviews, and documentation. The data analysis technique uses data reduction, data presentation, and drawing conclusions. The results showed that the use of the school library as a learning resource was not optimal. So, it can be concluded that the use of school libraries as a learning resource for students of SDN 111 / IX Muhajirin Village has not run optimally.
Deteksi Objek Menggunakan Metode Single Shot Multibox Detector Pada Alat Bantu Tongkat Tunanetra Berbasis Kamera
Authors: Fuady Samratul , Nehru Nehru , Anggraeni Gina
Published: March 2021

Blind people have difficulty in navigating due to the limited sensing they are capable of. In this research, we design a stick tool that can distinguish objects in the form of humans, animals and inanimate object based on camera. Processing is carried out with the Raspberry Pi with a webcam camera as input and indicators in the form of a buzzer and vibrator. The feature extraction process is carried out by deep learning using the tensorflow library and image processing using the Single Shot MultiBox Detector (SSD) method. Tests were carried out on human objects, animals (cats), and inanimate objects (chairs and tables) for indoor and outdoor conditions and obtained an accuracy of 92%, a sensitivity of 83%, and a specificity of 100%.
Analisis Kinerja Keuangan Perusahaan pada PT. Japfa Comfeed Indonesia Tbk
Authors: Paramita Jezzyca Ria , Putra Iwan Eka , Halim Abd , Ermaini Ermaini
Published: March 2021

Financial performance is an overview of how a company's financial condition is. To assess financial performance is used with a benchmark commonly called financial ratios. Financial ratios used are usually such as profitability ratio, liquidity ratio and solvency ratio. in addition to using financial ratios, the company can also use the Altman Z-Score method to assess the level of the company's bankruptcy prediction. This research aims to find out the financial performance of PT Japfa Comfeed Indonesia Tbk as well as the company's future bankruptcy predictions. the research method used is quantitative analysis based on secondary data taken from the Financial Statements of PT Japfa Comfeed Indonesia Tbk for the period 2014 to 2019. The results of the study are measurements of the company's financial ratio showing sufficient value while measurements using the company's Altman Z-Score method show healthy value which means it does not go into bankruptcy.
Pengaruh Kompetensi Terhadap Kinerja Karyawan Koperasi Unit Desa (KUD) Bersama Makmur Desa Srimulyo
Authors: Utami Ita Tri , Suryani Ade Irma , Nurdin Nurdin
Published: March 2021

The purpose of this research is to determine the level of competency, performance and whether work competency has a significant effect on the performance of employees in KUD Bersama Makmur Desa Srimulyo. In this study, the authors took the hypothesis that competence has a significant effect on employee performance. Analysis tools are used to find out the level of competency, the level of employees using analysis about scale. To find out the competency of work to employee performance using a simple linear regression analysis. The calculation result with scale range analysis tool for employee competency level is 81. While the results of a simple linear regression analysis show the result of the influence of independent variables on dependent variables is large. From the results of scale range analysis and simple linear regression analysis, in accordance with the benchmark, for work competency is included in the category of good and competency has a significant effect on employee performance. Thus the hypothesis in this study is proven.
Kebijakan Kriminal Dalam Pencegahan Dan Penanggulangan Narkotika Di Kota Palembang
Authors: Achmad Ruben , Adisti Neisa Angrum
Published: March 2021

Tujuan penulisan penelitian ini adalah untuk menganalisis kebijakan kriminal dalam pencegahan dan penindakan  kejahatan narkotika di Indonesia dan kebijakan kriminal dalam pencegahan dan penindakan kejahatan narkotika khususnya di Kota Palembang. Kebijakan kiminal pencegahan dan penanggulangan narkotika di Indonesia dilakukan dengan 2 (dua ) cara yaitu kebijakan Penal dan Non penal. Temuan dari analisis hasil penelitian aspek penal terhadap narkotika dan psikotropika, merupakan bahan masukan untuk melakukan perbaikan dalam perencanaan penanggulangan penyalahgunaan narkotika dikemudian hari.mSelain dengan peraturan perundang-undangan upaya penanggulangan dan pecegahan  Narkotika dilakukan secara sinergi beberapa lembaga yang terkait satu sama lain ,P4GN adalah Pemberantasan Peredaran Gelap  Narkoba dan Perkusor yang merupakan  suatu program penanggulangan pencegahan narkotika. Pencegahan Pemberantasan Penyalahgunaan dan Peredaran Gelap Narkoba (P4GN) adalah upaya sistematis berdasarkan data penyalahgunaan narkoba yang tepat dan akurat, perencanaan yang efektif dan efisien dalam rangka mencegah, melindungi dan menyelamatkan warga negara dari ancaman bahaya penyalahgunaan narkoba untuk itu diperlukan kepedulian dari seluruh instansi pemerintah dalam upaya tersebut dengan mendorong satgas di instansi pemerintah menjadi pelaku P4GN secara mandiri. Upaya yang paling tepat dalam pencegahan dan penyalahgunaan narkotika adalah upaya demand yang menitik beratkan pada perbaikan pelaku yaitu penyuluhan dan juga rehabilitasi. Dibandingkan penjara , rehabilitasi lebih tepat dilaksanakan bagi pengguna narkotika. Dikarenakan efek negatif penjara yang belum tentu memperbaiki keadaan pelaku . Namun pada kenyataannya , hakim sangat jarang memutus dengan putusan rehabilitasi