bluuebunny/crossref_metadata_2025 huggingface dataset:
Characterizing Meal Planning Strategy Use During Behavioral Weight Loss Treatment
Authors:   , Martinelli Mary K. , Butryn Meghan L
Published: July 2022

Meal planning during behavioral weight loss (BWL) may help participants enact changes in eating, such as following a healthier diet and reducing calorie intake, yet little is known about the extent to which participants utilize meal planning during BWL. The direct impact of meal planning on weight loss is also unclear. The current sub-study examined meal planning strategy use among adults with overweight and obesity (N = 61) enrolled in a parent trial of group-based BWL. Participants completed a meal planning questionnaire at Weeks 0, 6, 13, and 24. Body mass index (BMI) and dietary quality were measured at Weeks 0 and 24. Frequency of meal and calorie planning during treatment and barriers to planning strategy use were explored. Growth curve models were used to identify trajectories of meal and calorie planning frequency and test whether planning frequency across 24 weeks (between-person effects) or individual variation in meal planning at each timepoint (within-person effects) are associated with change in BMI and dietary quality during treatment. Results indicated that meal and calorie planning frequency increased more rapidly at the beginning of treatment with growth slowing over time. A within-person effect was observed for meal planning frequency in the prediction of BMI, whereas between-person effects were observed for meal planning predicting dietary quality, and for calorie planning predicting BMI and dietary quality. Clinicians in BWL should consider emphasizing the importance of consistent and frequent engagement in meal and calorie planning during treatment.
A Mixed-Methods Exploration of the Impact of Perceived Discrimination and Interior Immigration Enforcement Experiences on the Mental Health of U.S.-citizen Children and Adolescents of Mexican Immigrants
Authors:   , Tellez Lieberman Jamile , Martínez-Donate Ana P.
Published: July 2022

Under the Trump administration, Latino immigrant communities were targeted by interior immigration enforcement and subjected to increased discrimination under an anti-immigrant climate. U.S. citizen children are victimized by these policies targeting their immigrant parents, yet little is known about these policies' impacts on their mental health. This dissertation synthesized scientific evidence regarding the mental health impacts of immigration enforcement and discrimination on Latino children in the U.S. A quantitative study was performed using survey data to explore the statistical relationship between exposure to immigration enforcement and discrimination and mental health. This dissertation includes a qualitative study of semi-structured interviews that explores children's lived experiences of discrimination, parental deportation or threat of parental deportation and perceived impacts on mental health. Quantitative results suggest that both discrimination and immigration enforcement independently and negatively affect mental health. In the qualitative interviews, children who experienced parental deportation feel traumatized and experience psychological distress, while children who anticipate deportation experience toxic stress. Children experience discrimination that targets their identities as Latinos and children of immigrants, which is also detrimental to their mental/emotional health. More longitudinal, mixed-methods research is needed to understand how immigration enforcement and discrimination shape health trajectories of Latino/x adolescents, especially citizens. Family-friendly immigration policy reform is also critical.
Fe-MI-nismo en las redes sociales: riesgos y oportunidades para el feminismo contemporáneo
Authors: Caballero-Gálvez Antonio A. , Zaera Anna , Tortajada Iolanda , Willem Cilia
Published: July 2022

Las redes sociales se han convertido en un espacio imprescindible para la visibilización y defensa del feminismo. Sin embargo, en estos entornos también conviven discursos y producciones profeministas, posfeministas y antifeministas. Si bien el feminismo se ha fortalecido a través de las redes sociales, también los ataques online contra las mujeres se han intensificado. Por otra parte, los discursos posfeministas se han consolidado actuando como distribuidoras de una producción cada vez más variada de construcciones de la feminidad que exaltan el empoderamiento de las mujeres y su sexualidad (McRobbie, 2009; Lotz 2001; Gill 2007, 2011). Las autorrepresentaciones de las feminidades instrumentalizan los logros del feminismo para promover actitudes individualistas alejadas de cualquier identidad política o lucha colectiva. Este artículo se centrará en el análisis de las interacciones entre las prácticas feministas en las redes sociales, incluyendo el ciberfeminismo y la construcción de contrapúblicos, con el objetivo de captar la complejidad e implicaciones de todas ellas.
Proyectando las luces y sombras de la industria audiovisual peninsular posCIMA: diálogos con mujeres cineastas emergentes
Authors: García-Puente Maria , K. Hogan Erin
Published: July 2022

Nuestro propósito en el presente artículo es llevar a cabo una metarreflexión crítica sobre nuestras aportaciones al proyecto de humanidades digitales The Gynocine Project. El punto de partida y eje que articula nuestro análisis es un corpus de seis entrevistas que realizamos a mujeres cineastas emergentes de la etapa posCIMA junto a lecturas cruzadas de investigaciones recientes enfocadas en este ámbito de estudio. En nuestro análisis, que coincide con el quince aniversario del compromiso de CIMA por la igualdad de género en la industria audiovisual española, iluminamos el estado de la cuestión, identificando las luces y sombras del acceso de las mujeres a la creación audiovisual y su representación dentro de ella, además de proyecciones de futuro.
Presentación al monográfico: “Estudios feministas de comunicación. Nuevos retos y escenarios”
Authors: Piñeiro Otero Teresa
Published: July 2022

Introducción monográfico
Cytotoxic lesion of the corpus callosum in a patient with aphasic status epilepticus
Authors: Castiglione Juan Ignacio , Ricciardi Mario Emiliano , Bensi Catalina
Published: July 2022

A 47-year-old man with a history of aphasic seizures presented to the emergency room with a 12-hour global aphasia. Upon admission, brain MRI did not reveal acute lesions, and EEG showed sharp waves in the left frontal-temporal region. An Aphasic Status Epilepticus was diagnosed and antiepileptic treatment was initiated with adequate response. A week after the episode, a new brain MRI showed a high-signal ovoid lesion on T2-weighted and FLAIR sequences in the central part of the splenium of the corpus callosum. On diffusion-weighted images (DWI) the lesion was hyperintense with decreased apparent diffusion coefficient (ADC) values, indicating restricted diffusion consistent with a cytotoxic lesion of the corpus callosum (CLOCC). Follow-up MRI one month later showed complete image resolution. CLOCCs are secondary lesions associated with various entities in which high levels of cytokines and extracellular glutamate cause intracellular edema and reduced diffusion, a condition called cytotoxic edema, which affects vulnerable brain regions such as the splenium of the corpus callosum. In epileptic patients, CLOCCs may be due to the effect of seizures, especially prolonged ones, as well as antiepileptic treatment itself. CLOCCs are rare radiological findings and must be recognized to avoid misdiagnosis.
Creation of Argentina-Sports Concussion Assessment & Research Study (Arg-SCARS): study protocol
Authors: Russo María Julieta , Salvat Fernando , Kañevsky Agostina , Helou María-Belén , Lamaletto Luciana , Marinangeli Aldana , Sevlever Gustavo
Published: July 2022

There is an urgent need for an improved understanding of the relationship between repetitive sports concussion and cognitivedecline risk. The Argentina- Sports Concussion Assessment & Research Study (Arg-SCARS) explores the link between repetitivesports concussion and cognitive function decline in rugby players. Its objective is to describe the study design and the preliminary results concerning clinical profiles of rugby players following sports concussion. The current paper is a descriptive study of select characteristics and clinical symptoms identified from concussed athletes within 72 h after the injury. The 92 participants had an average age of 22.64 years and had been playing rugby for a mean of 14.72 years. 66.3% had history of concussions, with an average number of clinical concussions of 1.94. The mean of symptoms reported on Post-Concussion Symptoms Scale was 5.41. The mean symptom severity score was 14.49. Acute concussion symptoms, Beck’s Depression Inventory and attentional composite score were significantly predictive of symptoms within the first 72h following concussion. As conclusions it was possible to recognize the full spectrum of post-concussion related situations is essential to monitor recovery and tailor interventions for specific cases. Arg-SCARS’s findings will help understand the influence of repetitive head trauma in the progress of neurological damage in athletes.
ROK-Mekong Economic Assistance: A how-to for Latin America
Authors: Páez-Monroy Angie Marcela , Rosales-Becerril Giovanni Sol
Published: July 2022

Economic development is one of the main objectives of international cooperation. Based on that concept, the Mekong alliance, composed of developing Asian countries, was established in 2011. In response, South Korea, Asian economic leader, has architected several strategies to propitiate development among these nations using niche diplomacy. This investigation paper intends to evaluate the impact of said methodology as well as proposing a replication strategy in Latin America (Latam) while making use of Sequential Transformative Design. The results indicate that the areas of infrastructure and human capital are the ones that share the most similarities between Mekong and Latam and that the cooperation intervention from Korea has generated a positive impact in the development of the countries in the Southeastern region. Thus, it can be concluded that these mediations build up a role model for development policies to be implemented in Latam, guaranteeing regional growth.
Complemento a la teoría del levantamiento del velo corporativo en Colombia desde el principio de la buena fe y el abuso del derecho
Authors: Zapata-Flórez Jonathan
Published: July 2022

Este artículo tiene como objetivo complementar la teoría del levantamiento corporativo definida por los máximos tribunales colombianos con reflexiones doctrinales sobre el principio de la buena fe y del abuso del derecho. El texto presenta los hallazgos de una investigación cualitativa con un enfoque dogmático de técnica documental especializada, que permitió identificar y seleccionar sentencias hito en el período 1999–2019 que caracterizaran el levantamiento del velo corporativo y, además, permitió identificar y seleccionar estudios doctrinales, con preferencia de la misma época, que permiten consolidar la teoría. La estrategia de búsqueda inició con la delimitación de las variables de análisis con base en el proyecto de investigación, que fueron usadas posteriormente en la consulta y selección de artículos de investigación jurídica en las bases de datos especializadas a partir de criterios de elección temáticos, temporales, geográficos, idiomáticos y de tipo de publicación. Con la investigación se concluye que no es suficiente con mencionar la buena fe y el abuso del derecho en los procesos de desestimación de la personalidad jurídica, se hace necesario dotar estos principios de contenido normativo para realizar una tarea de identificación de actos antijurídicos en el contexto societario.
Plataforma TI de vigilancia entomológica del Aedes aegypti con colaboración colectiva, Web GIS y mHealth
Authors: Díaz-Celis César Augusto , Gutiérrez Lesmes Óscar Alexander , Cruz Roa Angel Alfonso
Published: July 2022

El mosquito Aedes aegypti es una especie antropofílica que se ha adaptado a entornos urbanos y es el principal vector de enfermedades como el dengue, la fiebre del Zika, la fiebre del Chikunguña y la fiebre amarilla, representado una importante carga al sistema de salud en especial en países tropicales donde es endémico. Ejercer apropiadamente la vigilancia en salud pública es fundamental para la prevención de estas enfermedades por medio de sistemas de información. El propósito de este trabajo es proporcionar una plataforma de tecnologías de la información (TI) integrando tecnologías abiertas Web GIS y mHealth para la vigilancia entomológica del vector a partir de colaboración abierta distribuida para la generación de mapas de infestación. Se realizó un piloto con un grupo focal de 23 estudiantes de enfermería registrando 120 elementos en 55 reportes en la Sede San Antonio de la Universidad de los Llanos para la generación automática de 21 mapas de calor de síntomas, zancudos y criaderos, y un mapa global de infestación. Este trabajo sugiere una perspectiva novedosa de interacción y participación colaborativa de la comunidad con las autoridades de salud soportado por las TI.
SOME GEOMETRIC CHARACTERIZATIONS OF EXTREMAL SETS IN HILBERT SPACES
Authors: Nguyen Van Khiem
Published: July 2022

Based on our previous result and by using the technique on α-minimal and χ-minimal sets with respect to the Kuratowski and Hausdorff measures of noncompactness, we give some new geometric characterizations of extremal sets in Hilbert spaces.
RESEARCH ON THE CONSTRUCTION OF A PHANTOM IN DOSE CALCULATION BY PHITS SIMULATION PROGRAM
Authors: Bui Tien Hung , Tran Thuy Duong , Bui Ngoc Ha , Nguyen Thi Thao
Published: July 2022

In the field of medical physics, determining the dosage for organs is a very complex problem because it is impossible to directly measure the dosage inside a living person's body. Therefore, in order to estimate the dosage, one usually has to use phantoms. For dosage determination and safety assessment, Monte Carlo simulation programs and today's phantoms have become indispensable tools. There are already several standard phantoms in the world but they do not represent biological characteristics by region or for a specific object. Another method used to build characteristic phantoms is done through computed tomography (CT) images and the Hounsfield index. The method requires to convert the grayscale value of each pixel element into the Hounsfield index. As such, it can only be applied to CT imaging. To overcome this shortcoming, this study has developed a program based on a new process that can convert images to geometric format for MCNP\PHITS. The new procedure that we propose will allow researchers to describe the anatomical structures more accurately and be specific to each patient.
BATS OF LY SON ARCHIPELAGO, CENTRAL VIETNAM
Authors: Vu Dinh Thong
Published: July 2022

Ly Son is a small but important archipelago of Vietnam. It contains different ecosystems ranging from urbanized to natural vegetation. However, little was known about bats and the general biodiversity of this archipelago. In August 2017 and May 2022, the author conducted a series of bat surveys throughout the archipelago. Bats were captured using mist nets and harp traps. Echolocation calls were recorded using the PCTape system at every netting and trapping site and inside a flight tent. Recorded calls were analyzed using the Selena software. Results from the survey confirmed that the Ly Son archipelago is home to two bat species belonging to two genera, two families: Pteropodidae (Cynopterus sphinx) and Vespertilionidae (Myotis muricola). Of these two species, C. sphinx was very common while M. muricola was rarely recorded in the archipelago. Remarkably, the echolocation signal duration of M. muricola is in a range of 2.6-5.2 milliseconds which is longer than descriptions in previous publications.
ASSESSMENT OF IMPACTS OF THE ROAD SYSTEM ON FLOOD REGIME IN THE COASTAL FLOODING AREA OF VU GIA - THU BAN RIVER BASIN, QUANG NAM PROVINCE
Authors: Hoang Thanh Son , Le Duc Hanh , Vu Hai Dang , Bui Anh Tuan , Nguyen Thi Hai Yen , Tong Phuc Tuan
Published: July 2022

Flooding is one of the dangerous types of natural disasters, which has been causing great damage to human values and even human life, leading to negative impacts on socio-economic development, specifically in the lowland areas of the Vu Gia - Thu Bon river basin. The road system contributes to promoting intra-regional and inter-regional connectivity and is an important factor for socio-economic development. However, in certain cases, the road system continues to be expanded and enhanced, turning them into "dyke systems", interfering with the natural flood regime, increasing the area and flooding time. To assess the impact of the road system on the flood regime, the paper uses the Mike Flood modeling module to simulate the change of flood regime for flood events in 1999, 2007, 2020, and the 5% flood scenario. The comparison between the current road system and the old road system shows a certain increase in both depth and flooded area, especially in the case of 5% flood, the flood depth increases by 0.1 - 0.2 m in the upper part of the basin but only a small change in the lower part of the basin from 0.01 - 0.04 m.
La articulación de los poderes locales en un contexto reformista. El caso del cabildo de Concepción, en las fronteras australes del reino de Chile (1787-1810)
Authors: Ramírez-Espindola Manuel
Published: July 2022

El artículo analiza la articulación de los poderes locales en una sociedad de frontera, como el caso de Concepción, en el antiguo reino de Chile, centrándonos en la reconstrucción de su institucionalidad municipal y su relación con los órganos del poder monárquico durante los años más álgidos del reformismo borbón. Para ello comenzamos analizando las características de la corporación edilicia durante el último cuarto del siglo XVIII, para posteriormente adentrarnos en su composición, así como en las distintas prácticas que caracterizaban el accionar de estos individuos a finales del antiguo régimen. Paralelamente, analizamos la aparición de los intendentes y sus efectos en el seno del municipio, poniendo especial énfasis en los conflictos de poder que envolvieron a ambas instituciones. Por último, en las conclusiones, destacamos la evolución y el peso que tuvieron estas disputas durante los años que siguieron a la crisis imperial, de cara a los procesos de independencia.
Evaluación de la calidad composicional, sanitaria y microbiológica de la leche en el municipio de Sapuyes, departamento de Nariño, en el año 2021
Authors: Lima-Rodríguez Carlos , Jurado-Gámez Henry , Pazos-Moncayo Álvaro
Published: July 2022

Introducción: la leche bovina es un producto de primera necesidad, con alto valor nutricional para la población. Sin embargo, en el departamento de Nariño, los estudios para valorar su calidad son escasos. Objetivo: evaluar la calidad composicional, sanitaria y microbiológica de la leche cruda de vacas Holstein mestizas en Nariño. Métodos: se incluyeron 1056 muestras de leche tomadas cada 15 días después del parto a 45 hembras. La calidad composicional se evaluó mediante densidad, punto crioscópico y acidez por NTC4987, y a partir de los porcentajes de grasa, proteína, sólidos no grasos (SNG) y lactosa. La calidad sanitaria se determinó mediante antibióticos en leche, recuento de células somáticas (RCS) por PortaSCC y prueba presuntiva de mastitis (CMT). La calidad microbiológica, por presencia de enterobacterias, mohos y levaduras; Staphylococcus aureus y Escherichia coli, según Charm Sciences Inc. Se comparó el tercio de lactancia y los cuartos de la ubre con un diseño de medidas repetidas, y se relacionaron las variables con estadística multivariante. Resultados: se encontraron diferencias por tercios para proteína, grasa, SNG, ST, lactosa, acidez y pH (p < 0,05), resultados consistentes con la literatura. La leche fue negativa para antibióticos, no hubo diferencias en RCS y 21 muestras fueron positivas a CMT. Se observó presencia de todos los microorganismos evaluados, y el análisis multivariante mostró un agrupamiento de las variables microbiológicas con el RCS y la precipitación (OR 2,35 95 % CI 1,67 a 6,4). Conclusiones: el aumento de la pluviosidad incrementa en 2,4 veces el riesgo de infección y mastitis subclínica, lo cual indica que la calidad higiénica de la leche cruda debe mejorarse.
Churn Prediction Model Improvement Using Automated Machine Learning with Social Network Parameters
Authors: Mandić Marin , Kraljević Goran
Published: July 2022

Due to strong competition in the telecom market, telecom companies are facing customer churn problems. For telecom, it is very important to predict the churn of a user to be able to prevent it. Marketing campaigns can be used to prevent churn and thus prevent a decrease in revenue. Usually, the churn prediction is based on behavioural user data, which describes user activity and general user data. In our prediction model, we added social network attributes that describe the social influence of other users on the user's decision to make a churn. Besides standard centrality measures, we developed two new social attributes, which measure the social influence of already churned users. To determine if social network attributes aid in churn prediction precision we created and compared the models based only on the behavioural data and the models with the social attributes and behavioural data. In our work, we propose upgrading the standard Automated Machine Learning (AutoML) model with the part of the model related to Social Network Analysis (SNA), and we use the proposed model in our research. We show that the AutoML can be used to successfully predict telecom churn based on the real data from telecom operators from Bosnia and Herzegovina.
DDAPSO: Hybrid Discrete Dragonfly Algorithm and Particle Swarm Algorithm to Service Selection and Composition for the Internet of Things Applications
Authors: Benmessahel Bilal , Nouioua Farid
Published: July 2022

Recently, the Internet of Things (IoT) has quickly risen as one of the most essential technologies of this century. IoT allows users to connect to a vast network of smart devices, services, and data. An important and challenging research problem in the Internet of Things applications is how to select an appropriate service selection (SS). In the SS problem, users can combine several services from diverse sources (things or devices) to satisfy their needs. On the other hand, the SS problem is known for its complexity and is categorized as an NP-hard problem; such problems are typically solved utilizing heuristics like bio-inspired algorithms. In this research a new bio-inspired algorithm called DDAPSO is created to solve the SS problem where a new strategy is proposed to maintain a balance between the exploration and exploitation abilities. This hybrid algorithm is the result of coupling a Discrete Dragonfly Algorithm (DDA) with the particle swarm optimization algorithm (PSO). The suggested algorithm was properly tested using a variety of scenarios with different numbers of services and with different numbers of concrete services per each service set or task. The proposed algorithm is compared with the main recent well-known algorithms, i.e. GA, PSO, DDA, ABC and MVO for service selection. In a large-scale setting, the results clearly show that the DDAPSO algorithm outperforms other services selection algorithms reported in the literature in terms of selection optimally as well as execution time.
Ensemble Assisted Multi-Feature Learnt Social Media Link Prediction Model Using Machine Learning Techniques
Authors: Channabasava Ugranada , Raghavendra Bevoor Krishnappa
Published: July 2022

In this paper a robust consensus-based ensemble assisted multi-feature learnt social media link prediction model is developed. Unlike classical methods, a multi-level enhancement paradigm was considered where at first the focus was made on extracting maximum possible features depicting inter-node relationship for high accuracy of prediction. Considering robustness of the different feature sets, we extracted local, behavioural as well as topological features including Jaccard coefficient, cosine similarity, number of followers, intermediate followers, ADAR. The use of these all features as link-signifier strengthened the proposed link-prediction model to train over a large data and to ensure higher accuracy. Undeniably, the use of aforesaid multiple features-based approach could yield higher accuracy and reliability; however, at the cost of increased computation. To avoid it, different feature selection methods like rank sum test, cross-correlation, principal component analysis were applied. The use of these feature selection methods had dual intends; first to assess which type of features can have higher accuracy and second to reduce unwanted computation. This research revealed that cosine similarity-based features don’t have significant impact on eventual classification. On the contrary, cross-correlation and PCA based features had exhibited relatively higher accuracy (up to 97%). Once retrieving the set of suitable features, unlike standalone classifier based (two-class) prediction, we designed a novel consensus based ensemble learning model by using logistic regression, decision tree algorithm, deep-neuro computing algorithms (ANN-GD and ANN-LM with different hidden layers), which classified each node-pair as Linked or Not-Linked. Our proposed link-prediction model has exhibited link-prediction accuracy (98%), precision (0.93), recall (0.99), and F-Measure (0.97), which is higher than the other state-of-art machine learning methods.
Optimal Solution of Classification (Prediction) Problem
Authors: Khrisat Mohammad S.
Published: July 2022

Classification or prediction problem is how to solve it using a specific feature to obtain the predicted class. A wheat seeds specifications 4 3 classes of seeds will be used in a prediction process. A multi-linear regression will be built, and a prediction error ratio will be calculated. To enhance the prediction ratio an ANN model will be built and trained. The obtained results will be examined to show how to make a prediction tool capable to compute a predicted class number very close to the target class number.
Investigations on Deep Learning Techniques for Analysing Mammograms
Authors: Bandaru Satish Babu , Deivarajan Natarajasivan , Gatram Rama Mohan Babu
Published: July 2022

Mammograms have been acknowledged as one of the most reliable screening tools as well as a key diagnostic mechanism for early breast cancer detection. Though mammography is a valuable screening tool for detecting malignant growth in breasts, its competence as a diagnostic tool is heavily reliant on the radiologists’ understanding. Automated systems are now widely used for detection of breast cancer. Image processing techniques were widely used in automated systems for classifying mammograms. Of late with the advent of deep learning (DL) where images can be processed directly for classification, the DL is widely researched for medical image classification. Basically, DL techniques are representation-learning methods which aid in understanding data like sounds, images as well as texts. DL algorithms have the ability to learn multiple levels of representation as well as abstraction. Residual network (ResNet) is given due consideration as a kind of highly advanced Convolutional Neural Networks (CNNs). This work has offered a potential application of Visual Geometry Group (VGG), Residual network (ResNet) and Inception based CNN model for differentiating the mammograms into the abnormal class and the normal class. Experimental results demonstrated that the deep learners are effective for classifying mammograms and Inception deep learner achieved the best accuracy of 91.49%.
Comprehensive comparison of high productivity cobalt catalysts for Fischer – Tropsch synthesis with different types of heat-conductive frames
Authors: Gryaznov K. O. , Sineva L. V. , Asalieva E. Yu. , Mordkovich V. Z.
Published: July 2022

The results of physicochemical comparative study of Fischer – Tropsch industrial cobalt zeolite-containing catalysts are presented. The catalysts are based on heat-conductive additive (aluminum flakes or exfoliated graphite) and were tested in one tube industrial scale reactor (length – 6000 mm, inner diameter – 12 mm). For comparison purposes, the testing results of catalyst without heat-conductive additive are presented. It’s shown that exfoliated graphite-based catalyst is more suitable for industrial scale application in high syngas gas hour space velocities due to higher thermal stability and higher hydrocarbon productivity.
Is the division of Western and Eastern Poland still valid? The evolution of regional convergence in Poland
Authors: Misiak Tomasz
Published: July 2022

The primary aim of the paper is the empirical verification of the hypothesis on the convergence of real GDP per capita of the regions (NUTS-2) in Poland and the catch-up effect of Eastern towards Western Poland. The empirical study is based on a relatively new analytical approach of Phillips and Sul convergence tests which consider significant differences in technological advancement between regions. The results show that the convergence hypothesis was rejected in the group of all regions of Poland and the group of Western Poland regions. Convergence was confirmed in the group of Eastern Poland regions. The strict catch-up effect of the Eastern towards the Western Poland regions was not observed. Nevertheless, thirteen of seventeen regions of Poland were characterised by convergence but within distinct convergence clubs. The identification of convergence clubs, however, was not determined by a sharp East-West Poland dividing line.
Preservice Physical Education Teacher Attitudes Toward Fitness Tests and the Factors Influencing Their Attitudes
Authors: Stephenson Rachyl , Hamilton Xiaofen , Liu Xiaolu , Hodges Michael , Colburn Jeffrey , Knipe Robert
Published: July 2022

This study aimed to investigate preservice physical education teachers’ (PPETs’) attitudes toward fitness testing, and factors that may influence such attitudes. One hundred fifty-seven PPETs participated in the study (54.1% male). A slightly modified quantitative survey on PPETs’ attitudes toward fitness testing validated by Keating et al. (2001) was utilized. Analysis of variance and multivariate analysis of variance were used in data analysis. Consistent with Keating el al. (2001), the results indicated that PPETs had moderate, but significant, positive attitudes toward fitness testing. PPETs’ previous experiences with fitness tests affected their attitudes. Findings also showed PPETs’ professional memberships had a significant effect, but only on their beliefs of importance and usefulness of fitness testing. The data concluded that PPETs’ overall attitudes toward fitness testing were similar to the data found over 20 years ago. These results hold implications for PETE programming in that PETE faculty need to aid in PPETs’ journeys in fostering positive attitudes toward fitness testing to increase their confidence in administering testing within physical education and to integrate fitness testing in sound fitness education.
Digital Human Performance Evaluation in the Public and Private Sectors
Authors: Barna Zsolt
Published: July 2022

Increased controlling functions are a natural part of the day-to-day activities of companies operating in market conditions. Its successful functioning determines the market value of the company. In addition to measuring organizational performance, it also has a vital role in monitoring and evaluating individual performance on an ongoing basis, thus providing continuous feedback to employees and managers. Accordingly, the IT sector and modern IT solutions are taking a significant part in the operation of companies. With the development of these solutions, Industry 4.0 is already taking companies into the world of modern ICT technologies and is appearing at all levels of companies. Companies developing ERP systems are increasingly focusing on the dissemination of performance evaluation modules as part of controlling. Not only ERP systems but also serious HRM support solutions have emerged, and controlling has been complemented by measuring the performance not only of the whole organization but also of individual employees. Today, various publications discuss the fact that the cards have begun to be dealt with again in markets where companies must meet a myriad of conditions to stay afloat. We are not talking here about their ability to develop but merely about their efforts to maintain their market position. This is the environment in which controlling, which now covers a much more comprehensive range of areas, including human resources, is working. This process of controlling has extended from large companies to public interest entities, as they must operate effectively in the same environment as other companies with a similar profile but a different organizational structure, typically private. Not to mention the fact that the labor market is the same, where recruitment is not enough, but retention is just as necessary.
Przeszłość – teraźniejszość – przyszłość (?) Pomiędzy małpim przodkiem a Artificial Intelligence
Authors: Zamojski Adam
Published: July 2022

Artykuł omawia genezę człowieka, istotę natury ludzkiej oraz wizję przyszłości ludzkości. W syntetyczny sposób przedstawia główne etapy procesu antropogenezy. Opisuje dwoistą naturę współczesnego człowieka (naturę biologiczną i kulturową). Artykuł odnosi się do pojawienia się Sztucznej Ogólnej Inteligencji (AGI) jako wyzwania dla ludzkości.
Współpraca polsko-rumuńska w działalności politycznej i naukowej Nicolae Iorgi
Authors: Dubicki Andrzej
Published: July 2022

Nicolae Iorga jest postacią o dużym znaczeniu w historii i kulturze Rumunii. Bardzo często wypowiadał się o sprawach polskich w szerokim tego słowa znaczeniu, zarówno w kwestiach akademickich, jak i politycznych. Zaangażowanie Iorgi w Polskę jest widoczne niemal nieprzerwanie w trakcie jego kariery naukowej i politycznej. Od czasów szkolnych po jego tragiczną śmierć Polska i jej sprawy były obecne w jego działalności także za sprawą jego nauczycieli, profesorów czy późniejszych partnerów politycznych. Dzięki wykształceniu historycznemu Iorga postrzegał Polskę jako ważnego partnera Rumunii na arenie międzynarodowej, jako gwarancję bezpieczeństwa politycznego, ale także ważnego partnera w kontekście rozwoju kulturalnego. Jako inicjator kursów języka i kultury rumuńskiej na Uniwersytecie Jagiellońskim, Nicolae Iorga otrzymał tytuł doktora honoris causa Uniwersytetu Wileńskiego w 1931 r. za ważną rolę w umacnianiu stosunków między Polską a Rumunią.
Georges Sorel i narodziny faszystowskiego mitu politycznego
Authors: Wielomski Adam
Published: July 2022

Gorges Sorel to francusko-włoski myśliciel znany jako twórca teorii współczesnej mitologii politycznej. W Polsce Sorel jest postrzegany tylko jako myśliciel marksistowski. Rzeczywistość jest jednak bardziej skomplikowana. Sorel był nieortodoksyjnym myślicielem marksistowskim, a w ostatniej epoce swego życia skonstruował polityczną mitologię rewolucji od lewicy po prawicę. Sorela równie dobrze można uznać za współpracownika komunistów i syndykalistów we Włoszech co nacjonalistów i monarchistów we Francji. Jego mieszanka idei komunistycznych i nacjonalistycznych jest podstawą faszystowskiego ruchu Benito Mussoliniego.
Polski Komitet Imprez Sportowych w Berlinie na drodze ku normalizacji polsko-niemieckich stosunków politycznych (1932–1934). Polityczne kulisy pierwszego w historii meczu piłkarskiego reprezentacji Polski i Niemiec
Authors: Jung Rafał
Published: July 2022

Artykuł poddaje omówieniu wyjątkową polską instytucję państwową działającą w okresie międzywojennym, Polski Komitet Imprez Sportowych w Berlinie (PKISB). Jej przedstawiciele poprzez sport realizowali ambicję kształtowania korzystnego wizerunku Polski we wrogiej II RP Rzeszy Niemieckiej. W dłuższej perspektywie Komitet okazał się narzędziem poprawy ogólnych stosunków polsko-niemieckich. Artykuł koncentruje się na początkowej fazie działalności PKISB, kiedy po dojściu do władzy Adolfa Hitlera stawką była przyszłość stosunków politycznych między dotychczas skłóconymi sąsiadami. Działalność tej instytucji została przeanalizowana głównie w odniesieniu do piłki nożnej jako najpopularniejszego sportu w Polsce i Niemczech.
Thyroid disorders induced by immune checkpoint inhibitors therapy of malignant tumors
Authors: Glibka Anastasiya A. , Mazurina Natalya V. , Sarantseva Ksenia A. , Kharkevich Galina Y. , Laktionov Konstantin K. , Troshina Ekaterina A. , Mel`nichenko Galina A.
Published: July 2022

In the recent years, immune checkpoint inhibitors (ICPI) have been widely used for treatment of many malignant neoplasms. In the Russian Federation, several ICPIs have been approved and actively used, namely anti-CTLA-4 monoclonal antibody (ipilimumab), anti-PD-1 monoclonal antibodies (nivolumab, pembrolizumab, prolgolimab), and anti-PD-L1 monoclonal antibodies (atezolizumab, durvalumab). ICPIs may cause various endocrine immune-mediated adverse events, most commonly thyroid dysfunction and hypophysitis, which are at large associated with anti-tumor therapy with a certain subgroup of these agents. Predictors of endocrine immune-mediated adverse events remain unclear, and their optimal prevention, prediction and treatment have not been yet defined. The review contains the information accumulated in the literature on the mechanisms, biomarkers, specific characteristics of thyroid immune-mediated adverse events and describes the principles of treatment for these thyroid disorders. This information would be useful for practicing oncologists, endocrinologists, internists, family physicians, as well as for any other medical specialties.
Las matemáticas: una ciencia construida por personas de carne y hueso
Authors: Coronel Casadiego José Javier
Published: July 2022

Las Matemáticas no son solo números, ecuaciones, símbolos, fórmulas, axiomas, postulados, conjeturas, teoremas, demostraciones, cálculos y extensas operaciones. Dentro de este, casi que infinito Universo, existe un verdadero y fascinante mundo repleto de historias de amor, pasión, poesía, vida y muerte que nos muestra que esta“reina de las ciencias”como la llamó Gauss o “lenguaje de la Naturaleza” como afirmó Galileo, no es esa ciencia compleja, árida y solo entendida por unos pocos; sino que es una ciencia edificada por hombres y mujeres de carne y hueso. Este artículo busca evidenciar algunas de esas hermosas, tristes y apasionantes historias que han estado presentes en el desarrollo histórico y social de las Matemáticas, humanas historias que deben ser conocidas, enseñadas o contadas en el aula de clase, en la calle, en la mesa, en el tranvía y en cualquier otro escenario dialógico donde, a los seres humanos nos reúna factores comunes como: el amor, el hambre y la sed al conocimiento y a la verdad.
Introduction to the Summer 2022 Issue of the RACE Series
Authors: Ford Chandra L.
Published: July 2022

Ethn Dis. 2022;32(3):239-242; doi:10.18865/ed.32.3.239
Integrated Methods for Applying Critical Race Theory to Qualitative COVID-19 Equity Research
Authors: Amani Bita , Cabral Alejandra , Sharif Mienah Z. , Huỳnh James , Skrine Jeffers Kia , Baptista Shelby A. , McAndrew Breann , Bradford Natalie , De la Rocha Patanjali , Ford Chandra L.
Published: July 2022

Background: Racism persists, underscoring the need to rapidly document the perspec­tives and experiences of Black, Indigenous and People of Color (BIPOC) groups as well as marginalized populations (eg, formerly incarcerated people) during pandemics.Objective: This methods paper offers a model for using Public Health Critical Race Praxis (PHCRP) and related critical meth­odologies (ie, feminist and decolonizing methods) to inform the conceptualization, methods, and dissemination of qualitative research undertaken in response to the evolving COVID-19 pandemic.Sample: Using purposive snowball sam­pling, we identified organizations involved with health equity and social justice advo­cacy among BIPOC and socially marginal­ized populations. Focus group participants (N=63) included community members, organizers, activists, and health workers.Design: We conducted topic-specific (eg, reproductive justice) and population-specific (eg, Asian and Pacific Islander) focus groups (N=16 focus groups) in rapid succes­sion using Zoom software.Methods: A self-reflexive, iterative praxis guided theorization, data collection and analysis. We obtained community input on study design, the semi-structured discussion guide, ethical considerations and dissemi­nation. Applying PHCRP, we assessed our assumptions iteratively. We transcribed each interview verbatim, de-identified the data, then used two distinct qualitative tech­niques to code and analyze them: thematic analysis to identify unifying concepts that recur across focus groups and narrative analysis to keep each participant’s story intact.Results: The praxis facilitated relationship-building with partners and supported the iterative assessment of assumptions. Logisti­cal constraints included difficulty ensuring the confidentiality of virtual discussions.Conclusions: These novel approaches provide an effective model for community-engaged qualitative research during a pandemic. Ethn Dis. 2022;32(3):243-256; doi:10.18865/ed.32.3.243
Depicting Teachers’ Views on Global Competence Training
Authors: Karanikola Zoe
Published: July 2022

This study refers to the scientific field of global education and competence and comes to investigate teachers' views on global competence training. This survey was conducted in June 2022, whereas the quantitative methodology was followed for the collection of the data. A random sampling technique was used, and the sample consisted of 350 teachers who worked in primary and secondary school units in the region of Western Greece during 2021-2022. Research findings show that teachers recognize the necessity and importance of training on global competence and most of them have attended one or more courses mostly during their undergraduate or postgraduate studies or during their participation in training programs. They also regard University as the most appropriate training actor, and they are in favor of optional training programs of mixed type and of monthly duration. Regarding training topics, they proposed interculturalism, diversity, current events, religion, history, immigrants, environment, geography, human rights and culture. Finally, participants’ aspects do not seem to be affected by variables such as gender and years of service. On the contrary, level of education and ICT knowledge, additional studies, and employment relationship seem to affect the answers of the participants.
Extraanatomic bypass grafting in a patient with an infected femoral defect caused by a rollover accident: a case report
Authors: Ma Dae Sung , Kim Dong Hun , Ryu Jae-Wook , Chang Sung Wook
Published: July 2022

A 59-year-old male patient presented to the emergency department after a tractor rollover accident. His Injury Severity Score was 41 points. He had multiple pelvic bone fractures and a left common femoral artery injury with soft tissue loss. The injured arteries with skin defect were initially managed with endarterectomy and primary repair. However, the sepsis secondary to the infection from a skin defect became uncontrolled. The infected wound developed massive hemorrhage from the repaired arteries. Supportive measures were initiated to achieve hemostasis but unsuccessful. We performed an anastomosis with a prosthetic graft from the common iliac artery to the femoral artery above the knee, avoiding the wound through the lateral side of the anterior superior iliac spine. After revascularization, the patient recovered uneventfully. An extraanatomic graft reconstruction should be considered early when the autologous vein is unsuitable.
CLOUD MANUFACTURING: IDENTIFICATIONS AND PRIORITIZATION OF OPPORTUNITIES USING AHP
Authors: SHARMA Mohneesh Kumar
Published: July 2022

The origin of a cost-efficient, service-oriented, customer-centric, manufacturing system called cloud manufacturing has evolved due to advancements in cyber systems and the availability of internet facilities worldwide. However, there is a significant number of opportunities before the adoption of cloud manufacturing. Through literature survey, expert opinions from academicians and industrialists, various opportunities, namely, pay-as-use, scalability, cost efficiency, flexibility, autonomy, low-risk backup and recovery, low startup cost and location independence associated with the espousal of cloud manufacturing are identified. Further, the Analytic Hierarchy Process (AHP) model is applied to find the weights and prioritize these opportunities, thereby finding the significant key opportunities. Moreover, the consistency ratio is calculated for the accuracy and consistency of the results. As the obtained value of consistency ratio is less than .1, it shows that the result obtained is consistent and accurate. The managerial implication of these outcomes is that the results would indirectly help entrepreneurs in the adoption of cloud manufacturing.
METHOD OF OCCUPANCY-BASED TRAFFIC LIGHT PRIORITY FOR PUBLIC TRANSPORT
Authors: WIEDEMANN Remigiusz
Published: July 2022

This paper deals with the problem of urban traffic control, considering public transport as a priority. According to the authors, the occupancy of a means of transport is one of the key decision variables in the process of prioritisation within a traffic signal program. This study aims to construct a method of occupancy-based traffic light priority for public transport and investigate the possibility of using this information to increase the efficiency of signal control for time loss. The mathematical model of the priority level conditioning procedure proposed in the method was tested using a microsimulation model of the intersection. The simulation results were collated and compared with an approach that does not consider vehicle occupancy. Under given traffic conditions, the use of the proposed method allows for reducing the average time losses per person in the modelled road network.
ANALYSIS AND EVALUATION OF THE PLANNING PROCESS IN A TRANSPORT COMPANY
Authors: ŁUKASIK Zbigniew , KUŚMIŃSKA-FIJAŁKOWSKA Aldona , OLSZAŃSKA Sylwia
Published: July 2022

Today, route planning requires freight forwarders to make a conscious effort to identify unloading points such that the transport process is both cost- and time-efficient. At the same time, operational parameters that help to determine the validity of the chosen route must also be considered. This article aims to present the key metrics and ways of attaining them to provide a reliable determination of a transport company’s performance. Based on a selected transport company, the authors collected data on the transport routes implemented in 2020. Interpretation and analysis of the extracted information of the concerned sections were carried out and followed by alternatives. We present in this article the results of research concerning the exploitation parameters of the vehicle set. The evaluation of a given route section was indicated using selected indicators adapted to the specificity of the enterprise. The results are aimed at locating the components that have a destructive impact on the entire process. The proposed solutions serve to introduce factors that will pave way for improving the services provided. An in-depth analysis of all sections and key parameters was performed. Because of the conducted studies, abnormal parameters were identified, efficient sections were distinguished and new routes were developed in the case of previous routes that were not highly efficient and which had a possible alternative corridor. The obtained results of the research can comprise, for logistics managers, vital elements in the transport process, to which attention should be given in the course of overseeing these processes.