bluuebunny/crossref_metadata_2025 huggingface dataset:
Efisiensi Administrasi Pajak sebagai Strategi Peningkatan Kemudahan Berusaha di Indonesia
Authors: Susilo Muhammad Wiryo
Published: August 2021

The COVID-19 pandemic threatens the world's investment climate, including Indonesia. Indonesia is required to increase its business ease ranking so that it can compete in attracting investment. Tax administration has an important role as one of the factors determining the ease of doing business according to the World Bank. The ease of paying taxes in Indonesia has continued to increase from time to time but is still lagging behind other countries. This study aims to analyze the efficiency of tax administration in relation to the ease of doing business in Indonesia; enrich the literature on tax administration efficiency policies; and provide recommendations for improvement of ease of doing business through efficiency of tax administration based on tax administration theory and relevant concepts of ease of doing business. This research uses a descriptive qualitative approach. The results showed that the ease of paying taxes in Indonesia is still low and there are three indicators that need to be improved, namely payment, time and filling index. The author recommends simplifying tax payment types, utilizing cashless payment methods through digital services and using Artificial Intelligence in making tax decisions.
enforcement reform in Ukraine – a one-time phenomenon or a constant process?
Authors: Bochkovyi Oleksiy , Mozhechuk Liusia
Published: August 2021

The scientific article examines the effectiveness and prospects of reforming law enforcement agencies of Ukraine. Issues that arose during the implementation of such a reform, which in turn affected the effectiveness of law enforcement in Ukraine, were highlighted. The issue of introduction of the project «Police detectives» is investigated. The meaning of the concept «police detectives» is revealed, the peculiarities of their work and results are given. Emphasis is placed on the need to make appropriate changes to existing regulations in connection with the reform, as most provisions aren’t consistent with each other or don’t fully regulate certain legal relations. Emphasis is placed on pension reform in Ukraine, highlighting key aspects of such reform. Par-ticular attention was paid, in particular, to the issue of pensions for employees of the National Police in the context of the reform, analyzed the regulations governing legal relations in this area. The problematic aspects of the exercise of the right to a pension by former law enforcement officers, in particular the pay-ment of pensions under the new recalculations, are highlighted. Specific examples from case law on the violation of the right to adequate pension provision are given.
The return of metaphysics as a subject matter of historical ontology: analytical review
Authors: Stoliarova Olga
Published: August 2021

The article (the publication consists of two parts) presents an analytical and historiographical overview of the problems that are substantively related to the question of the role, meaning and historical fate of metaphysics. The author focuses on the phenomenon of the return of metaphysics to the philosophy of our time. This phenomenon is proposed to be analyzed from the viewpoint of historical ontology, which deals with the ontological presuppositions of knowledge and their historical dynamics. In the first part, the author highlights two directions of the historical development of metaphysical problems, one of which expresses the immediate metaphysical position, and the other represents the criticism of this position. The author associates criticism of metaphysics with the development of science and the philosophy of science. The author shows the difference between the “analytical” and “continental” approaches to metaphysical problems. The consideration of metaphysics as a historical phenomenon is associated with Hegel’s metaphilosophical historicism. The alternative, non-historical, consideration of metaphysics is placed in the context of empiricism and positivism. The concepts of scientific realism are defined as a kind of positivistically restricted analytical metaphysics. The author highlights three points of growth of post-positivist philosophy and pays special attention to the relationship between post-positivist philosophy of science, history of science, metaphilosophical history of ideas, and sociology of science. The author traces the gradual formation of theoretical conditions for the rehabilitation of metaphysics in these research fields. The author demonstrates that the historicization of Kant’s “transcendental subject” creates a specific epistemological perspective that joins historicism with contextualism. Within this perspective, the question of the ontological presuppositions of empirical (primarily scientific) knowledge, their development and change becomes of great importance.
An exploration of lexical selection in adults who stutter
Authors: Lee Amanda S. , O’Beirne Greg A. , Robb Michael P.
Published: August 2021

BACKGROUND AND OBJECTIVE: People who stutter (PWS) are able to anticipate a moment of stuttering. We wished to explore whether this anticipation might be reflected by either unusual word choice and/or delayed word production during a single-word confrontation naming task. METHOD: Nine PWS and nine age- and sex-matched fluent controls completed the single-word confrontation-naming task. Groups were compared on numbers of word-finding and fluency errors, response latency, and naming accuracy, measured against a novel ‘usuality’ criterion. Regression modelling of response accuracy and latency was conducted. RESULTS: The groups did not differ on naming task performance, except for a greater frequency of response latency errors in the PWS group. For both groups, responses containing word-finding or fluency errors were more likely to be non-usual names, and these were associated with longer latencies than accurate responses. For PWS, latency was positively related to participant age, and accuracy inversely related to stuttering severity. CONCLUSIONS: The findings provide insights into word substitution as a generalized behaviour, its function, and associated time-cost. Group-specific relationships imply greater sensitivity in PWS to changing demands and capacities, and highlight the complexity of interactions between physical stuttering behaviour and verbal avoidance.
An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method
Authors: Liu Xueyu , Li Ming , Wu Yongfei , Chen Yilin , Hao Fang , Zhou Daoxiang , Wang Chen , Ma Chuanfeng , Shi Guangze , Zhou Xiaoshuang
Published: August 2021

In the diagnosis of chronic kidney disease, glomerulus as the blood filter provides important information for an accurate disease diagnosis. Thus automatic localization of the glomeruli is the necessary groundwork for future auxiliary kidney disease diagnosis, such as glomerular classification and area measurement. In this paper, we propose an efficient glomerular object locator in kidney whole slide image(WSI) based on proposal-free network and dynamic scale evaluation method. In the training phase, we construct an intensive proposal-free network which can learn efficiently the fine-grained features of the glomerulus. In the evaluation phase, a dynamic scale evaluation method is utilized to help the well-trained model find the most appropriate evaluation scale for each high-resolution WSI. We collect and digitalize 1204 renal biopsy microscope slides containing more than 41000 annotated glomeruli, which is the largest number of dataset to our best knowledge. We validate the each component of the proposed locator via the ablation study. Experimental results confirm that the proposed locator outperforms recently proposed approaches and pathologists by comparing F 1 and run time in localizing glomeruli from WSIs at a resolution of 0.25 μm/pixel and thus achieves state-of-the-art performance. Particularly, the proposed locator can be embedded into the renal intelligent auxiliary diagnosis system for renal clinical diagnosis by localizing glomeruli in high-resolution WSIs effectively.
Am I worthy to my leader? Role of leader-based self-esteem and social comparison in the LMX-performance relationship
Authors: Afshan Gul , Serrano-Archimi Carolina , Landry Guylaine , Javed Uzma
Published: August 2021

BACKGROUND:

Most leadership theories, such as transformational, ethical, and servant leadership, emphasize the notion that leaders influence their followers’ in-role and extra-role work performance by treating them collectively and similarly. On the other hand, leader-member exchange (LMX) theory challenges this idea and argues that leaders treat followers differently and have high-quality exchange relationships with some followers and low-quality ones with others. However, few studies have examined LMX differentiated relationships in social contexts.

OBJECTIVE:

This study aims to investigate the role of employee leader-based self-esteem (LBSE) (i.e., employees’ self-evaluation of their worth derived from the quality of the relationship with their supervisor) in the relationship between LMX and two types of performance: task performance and organizational citizenship behaviour at individual level (OCB-I). Using an integrated theoretical framework of social comparison and self-consistency theories, we develop a moderated mediation model in which the mediating role of LBSE in the LMX-task performance and OCB-I relationships is conditional on the values of LMX social comparison (LMXSC).

METHODS:

Using a research sample of 298 manager-employee matching dyads working in 43 branches of a leading bank in Pakistan, results of hierarchical multiple regression analyses provided support for our developed model.

RESULTS:

We found that LMX positively led to LBSE which, in turn, served as a mediator between LMX and both performance types, with a stronger effect on OCB-I. We also found that by moderating the relationship between LMX and LBSE, LMXSC moderated the mediating role of LBSE, which had stronger effect on performance at high values of LMXSC than at low values.

CONCLUSIONS:

Following these findings, we discuss the contributions that this study offers to LMX and self-esteem literature and its managerial implications.
A Role for Prior Knowledge in Statistical Classification of the Transition from Mild Cognitive Impairment to Alzheimer’s Disease
Authors: Liu Zihuan ,   for the Alzheimer’s Disease Neuroimaging Initiative, Maiti Tapabrata , Bender Andrew R.
Published: August 2021

Background: The transition from mild cognitive impairment (MCI) to dementia is of great interest to clinical research on Alzheimer’s disease and related dementias. This phenomenon also serves as a valuable data source for quantitative methodological researchers developing new approaches for classification. However, the growth of machine learning (ML) approaches for classification may falsely lead many clinical researchers to underestimate the value of logistic regression (LR), which often demonstrates classification accuracy equivalent or superior to other ML methods. Further, when faced with many potential features that could be used for classifying the transition, clinical researchers are often unaware of the relative value of different approaches for variable selection. Objective: The present study sought to compare different methods for statistical classification and for automated and theoretically guided feature selection techniques in the context of predicting conversion from MCI to dementia. Methods: We used data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to evaluate different influences of automated feature preselection on LR and support vector machine (SVM) classification methods, in classifying conversion from MCI to dementia. Results: The present findings demonstrate how similar performance can be achieved using user-guided, clinically informed pre-selection versus algorithmic feature selection techniques. Conclusion: These results show that although SVM and other ML techniques are capable of relatively accurate classification, similar or higher accuracy can often be achieved by LR, mitigating SVM’s necessity or value for many clinical researchers.
Diagnostic Validity of the Smart Aging Serious Game: An Innovative Tool for Digital Phenotyping of Mild Neurocognitive Disorder
Authors: Isernia Sara , Cabinio Monia , Di Tella Sonia , Pazzi Stefania , Vannetti Federica , Gerli Filippo , Mosca Irene Eleonora , Lombardi Gemma , Macchi Claudio , Sorbi Sandro , Baglio Francesca
Published: August 2021

Background: The Smart Aging Serious Game (SASG) is an ecologically-based digital platform used in mild neurocognitive disorders. Considering the higher risk of developing dementia for mild cognitive impairment (MCI) and vascular cognitive impairment (VCI), their digital phenotyping is crucial. A new understanding of MCI and VCI aided by digital phenotyping with SASG will challenge current differential diagnosis and open the perspective of tailoring more personalized interventions. Objective: To confirm the validity of SASG in detecting MCI from healthy controls (HC) and to evaluate its diagnostic validity in differentiating between VCI and HC. Methods: 161 subjects (74 HC: 37 males, 75.47±2.66 mean age; 60 MCI: 26 males, 74.20±5.02; 27 VCI: 13 males, 74.22±3.43) underwent a SASG session and a neuropsychological assessment (Montreal Cognitive Assessment (MoCA), Free and Cued Selective Reminding Test, Trail Making Test). A multi-modal statistical approach was used: receiver operating characteristic (ROC) curves comparison, random forest (RF), and logistic regression (LR) analysis. Results: SASG well captured the specific cognitive profiles of MCI and VCI, in line with the standard neuropsychological measures. ROC analyses revealed high diagnostic sensitivity and specificity of SASG and MoCA (AUCs > 0.800) in detecting VCI versus HC and MCI versus HC conditions. An acceptable to excellent classification accuracy was found for MCI and VCI (HC versus VCI; RF: 90%, LR: 91%. HC versus MCI; RF: 75%; LR: 87%). Conclusion: SASG allows the early assessment of cognitive impairment through ecological tasks and potentially in a self-administered way. These features make this platform suitable for being considered a useful digital phenotyping tool, allowing a non-invasive and valid neuropsychological evaluation, with evident implications for future digital-health trails and rehabilitation.
Early-Onset Dementia Associated with a Heterozygous, Nonsense, and de novo Variant in the MBD5 Gene
Authors: González-Ortega Guillermo , Llamas-Velasco Sara , Arteche-López Ana , Quesada-Espinosa Juan Francisco , Puertas-Martín Verónica , Gómez-Grande Adolfo , López-Álvarez Jorge , Saiz Díaz Rosa Ana , Lezana-Rosales José Miguel , Villarejo-Galende Alberto , González de la Aleja Jesús
Published: August 2021

The haploinsufficiency of the methyl-binding domain protein 5 (MBD5) gene has been identified as the determinant cause of the neuropsychiatric disorders grouped under the name MBD5-neurodevelopment disorders (MAND). MAND includes patients with intellectual disability, behavioral problems, and seizures with a static clinical course. However, a few reports have suggested regression. We describe a non-intellectually disabled female, with previous epilepsy and personality disorder, who developed early-onset dementia. The extensive etiologic study revealed a heterozygous nonsense de novo pathogenic variant in the MBD5 gene. This finding could support including the MBD5 gene in the study of patients with atypical early-onset dementia.
A graph-based framework for malicious software detection and classification utilizing temporal-graphs
Authors: Dounavi Helen-Maria , Mpanti Anna , Nikolopoulos Stavros D. , Polenakis Iosif
Published: August 2021

In this paper we present a graph-based framework that, utilizing relations between groups of System-calls, detects whether an unknown software sample is malicious or benign, and classifies a malicious software to one of a set of known malware families. In our approach we propose a novel graph representation of dependency graphs by capturing their structural evolution over time constructing sequential graph instances, the so-called Temporal Graphs. The partitions of the temporal evolution of a graph defined by specific time-slots, results to different types of graphs representations based upon the information we capture across the capturing of its evolution. The proposed graph-based framework utilizes the proposed types of temporal graphs computing similarity metrics over various graph characteristics in order to conduct the malware detection and classification procedures. Finally, we evaluate the detection rates and the classification ability of our proposed graph-based framework conducting a series of experiments over a set of known malware samples pre-classified into malware families.
Application of Internet of Things intelligent image-positioning studio classroom in English teaching
Authors: Chen Jie , Chen Yukun , Lin Jiaxin
Published: August 2021

The purpose is to minimize color overflow and color patch generation in intelligent images and promote the application of the Internet of Things (IoT) intelligent image-positioning studio classroom in English teaching. Here, the Convolutional Neural Network (CNN) algorithm is introduced to extract and classify features for intelligent images. Then, the extracted features can position images in real-time. Afterward, the performance of the CNN algorithm is verified through training. Subsequently, two classes in senior high school are selected for experiments, and the influences of IoT intelligent image-positioning studio classroom on students’ performance in the experimental class and control class are analyzed and compared. The results show that the introduction of the CNN algorithm can optimize the intelligent image, accelerate the image classification, reduce color overflow, brighten edge color, and reduce color patches, facilitating intelligent image editing and dissemination. The feasibility analysis proves the effectiveness of the IoT intelligent image-positioning studio classroom, which is in line with students’ language learning rules and interests and can involve students in classroom activities and encourage self-learning. Meanwhile, interaction and cooperation can help students master learning strategies efficiently. The experimental class taught with the IoT intelligent positioning studio has made significant progress in academic performance, especially, in the post-test. In short, the CNN algorithm can promote IoT technologies and is feasible in English teaching.
Multi-armed bandits for bid shading in first-price real-time bidding auctions
Authors: Tilli Tuomo , Espinosa-Leal Leonardo
Published: August 2021

Online advertisements are bought through a mechanism called real-time bidding (RTB). In RTB, the ads are auctioned in real-time on every webpage load. The ad auctions can be of two types: second-price or first-price auctions. In second-price auctions, the bidder with the highest bid wins the auction, but they only pay the second-highest bid. This paper focuses on first-price auctions, where the buyer pays the amount that they bid. This research evaluates how multi-armed bandit strategies optimize the bid size in a commercial demand-side platform (DSP) that buys inventory through ad exchanges. First, we analyze seven multi-armed bandit algorithms on two different offline real datasets gathered from real second-price auctions. Then, we test and compare the performance of three algorithms in a production environment. Our results show that real data from second-price auctions can be used successfully to model first-price auctions. Moreover, we found that the trained multi-armed bandit algorithms reduce the bidding costs considerably compared to the baseline (naïve approach) on average 29%and optimize the whole budget by slightly reducing the win rate (on average 7.7%). Our findings, tested in a real scenario, show a clear and substantial economic benefit for ad buyers using DSPs.
On pythagorean fuzzy soft topological spaces
Authors: Alshammari Ibtesam , Parimala Mani , Jafari Saeid
Published: August 2021

Imprecision in the decision-making process is an essential consideration. In order to navigate the imprecise decision-making framework, measuring tools and methods have been developed. Pythagorean fuzzy soft sets are one of the new methods for dealing with imprecision. Pythagorean fuzzy soft topological spaces is an extension of intuitionistic fuzzy soft topological spaces. These sets generalizes intuitionistic fuzzy sets for a broader variety of implementations. This work is a gateway to study such a problem. The concept of Pythagorean fuzzy soft topological spaces(PyFSTS), interior, closure, boundary, neighborhood of Pythagorean fuzzy soft spaces PyFSS, base and subspace of PyFSTSs are presented and its properties are figured out. We established an algorithm under uncertainty based on PyFSTS for multi-attribute decision-making (MADM) and to validate this algorithm, a numerical example is solved for suitable brand selection. Finally, the benefits, validity, versatility and comparison of our proposed algorithms with current techniques are discussed.The advantage of the proposed work is to detect vagueness with more sizably voluminous valuation space than intuitionistic fuzzy sets.
Classification and grading of diabetic retinopathy images using mixture of ensemble classifiers
Authors: Bhuvaneswari R. , Ganesh Vaidyanathan S.
Published: August 2021

Diabetic Retinopathy (DR) is one of the most common diabetic diseases that affect the retina’s blood vessels. Too much of the glucose level in blood leads to blockage of blood vessels in the retina, weakening and damaging the retina. Automatic classification of diabetic retinopathy is a challenging task in medical research. This work proposes a Mixture of Ensemble Classifiers (MEC) to classify and grade diabetic retinopathy images using hierarchical features. We use an ensemble of classifiers such as support vector machine, random forest, and Adaboost classifiers that use the hierarchical feature maps obtained at every pooling layer of a convolutional neural network (CNN) for training. The feature maps are generated by applying the filters to the output of the previous layer. Lastly, we predict the class label or the grade for the given test diabetic retinopathy image by considering the class labels of all the ensembled classifiers. We have tested our approaches on the E-ophtha dataset for the classification task and the Messidor dataset for the grading task. We achieved an accuracy of 95.8% and 96.2% for the E-ophtha and Messidor datasets, respectively. A comparison among prominent convolutional neural network architectures and the proposed approach is provided.
A generalized deep learning framework for automatic rheumatoid arthritis severity grading
Authors: More Sujeet , Singla Jimmy
Published: August 2021

Knee rheumatoid arthritis (RA) is the highly prevalent, chronic, progressive condition in the world. To diagnose this disease in the early stage in detail analysis with magnetic resonance (MR) image is possible. The imaging modality feature allows unbiased assessment of joint space narrowing (JSN), cartilage volume, and other vital features. This provides a fine-grained RA severity evaluation of the knee, contrasted to the benchmark, and generally used Kellgren Lawrence (KL) assessment. In this research, an intelligent system is developed to predict KL grade from the knee dataset. Our approach is based on hybrid deep learning of 50 layers (ResNet50) with skip connections. The proposed approach also uses Adam optimizer to provide learning linearity in the training stage. Our approach yields KL grade and JSN for femoral and tibial tissue with lateral and medial compartments. Furthermore, the approach also yields area under curve (AUC) of 0.98, accuracy 96.85%, mean absolute error (MAE) 0.015, precision 98.31%, and other commonly used parameters for the existence of radiographic RA progression which is improved than the existing state-of-the-art.
The Satellite Cell at 60: The Foundation Years
Authors: Engquist Elise N. , Zammit Peter S.
Published: August 2021

The resident stem cell for skeletal muscle is the satellite cell. On the 50th anniversary of its discovery in 1961, we described the history of skeletal muscle research and the seminal findings made during the first 20 years in the life of the satellite cell (Scharner and Zammit 2011, doi: 10.1186/2044-5040-1-28). These studies established the satellite cell as the source of myoblasts for growth and regeneration of skeletal muscle. Now on the 60th anniversary, we highlight breakthroughs in the second phase of satellite cell research from 1980 to 2000. These include technical innovations such as isolation of primary satellite cells and viable muscle fibres complete with satellite cells in their niche, together with generation of many useful reagents including genetically modified organisms and antibodies still in use today. New methodologies were combined with description of endogenous satellite cells markers, notably Pax7. Discovery of the muscle regulatory factors Myf5, MyoD, myogenin, and MRF4 in the late 1980s revolutionized understanding of the control of both developmental and regerenative myogenesis. Emergence of genetic lineage markers facilitated identification of satellite cells in situ, and also empowered transplantation studies to examine satellite cell function. Finally, satellite cell heterogeneity and the supportive role of non-satellite cell types in muscle regeneration were described. These major advances in methodology and in understanding satellite cell biology provided further foundations for the dramatic escalation of work on muscle stem cells in the 21st century.
First-Line Immuno-Oncology Combinations for Metastatic Clear Cell Renal Cell Carcinoma (mRCC): A Systematic Review of Phase III Clinical Trials
Authors: Hahn Andrew W. , Shah Amishi Y. , Campbell Matthew T.
Published: August 2021

BACKGROUND:

The introduction of immune checkpoint inhibitors rapidly changed treatment for patients with metastatic clear cell renal cell carcinoma (mRCC). First-line treatment now includes multiple immuno-oncology (IO) combinations that were approved over a short time period and were not directly compared in randomized clinical trials. Thus, clinicians face a challenge in individualizing first-line treatment to optimize clinical outcomes.

OBJECTIVE:

We sought to systematically review clinical outcomes for first-line IO combinations for patients with mRCC.

METHODS:

Literature reporting outcomes from phase III clinical trials that evaluated first-line IO combination therapies was identified through a search of the PubMed electronic database following PRISMA guidelines. Abstracts were screened to identify manuscripts that fit the search criteria, and then, a descriptive review was performed.

RESULTS:

Our literature search identified 2,229 abstracts that met the initial search criteria, and then, it was narrowed to 431 abstracts using filters for “clinical trial” and a “ten year” time window. After review of the abstracts, six manuscripts were selected for data extraction and subsequent review.

CONCLUSION:

When compared to sunitinib, four IO combinations improved overall survival as first-line treatment, and five improved progression free survival for patients with mRCC. These IO combination therapies have unique characteristics, so clinicians should take into account patient and cancer factors to individualize treatment recommendations.
Automatic evaluation of complex alignments: An instance-based approach
Authors: Thiéblin Elodie , Haemmerlé Ollivier , Trojahn Cássia
Published: August 2021

Ontology matching is the task of generating a set of correspondences (i.e., an alignment) between the entities of different ontologies. While most efforts on alignment evaluation have been dedicated to the evaluation of simple alignments (i.e., those linking one single entity of a source ontology to one single entity of a target ontology), the emergence of matchers providing complex alignments (i.e., those composed of correspondences involving logical constructors or transformation functions) requires new strategies for addressing the problem of automatically evaluating complex alignments. This paper proposes (i) a benchmark for complex alignment evaluation composed of an automatic evaluation system that relies on queries and instances, and (ii) a dataset about conference organisation. This dataset is composed of populated ontologies and a set of competency questions for alignment as SPARQL queries. State-of-the-art alignments are evaluated and a discussion on the difficulties of the evaluation task is provided.
НЕПЕРЕРВНА ФІЗИЧНА ПІДГОТОВКА ОФІЦЕРІВ СЕКТОРУ БЕЗПЕКИ І ОБОРОНИ ЯК ПРЕДМЕТ НАУКОВИХ ДОСЛІДЖЕНЬ
Authors: ГНИДЮК Олександр
Published: August 2021

У статті представлено узагальнення результатів аналізу досліджень та публікацій, у яких вчені та автори пропонують підходи щодо вдосконалення освітнього процесу у військових закладах вищої освіти (ВЗВО), системи спеціальної фізичної підготовки, покращення ефективності занять з фізичної підготовки, оновлення освітньо-професійних програм, навчальних та методичних матеріалів із навчальних дисциплін, що стосуються фізичного виховання, спеціальної фізичної підготовки та особистої безпеки.Метою статті є узагальнення та класифікація результатів дослідження, у яких розглядаються різноманітні аспекти неперервної фізичної підготовки військовослужбовців сектору безпеки і оборони. Результати пілотного огляду масиву публікацій з проблеми дисертаційного дослідження дозволили класифікувати дисертаційні роботи, наукові статі та інші публікації до декількох груп. З’ясовано, що перша група охоплює наукові праці, у яких дослідники розглядають окремі аспекти фізичної підготовки майбутніх офіцерів та військовослужбовців Державної прикордонної служби України (ДПСУ). До другої групи увійшли наукові праці, у яких дослідники розглядають теоретичні і методичні засади навчання курсантів військових закладів вищої освіти різним видам спорту. Третя група умовно охоплює наукові праці, у яких дослідники розглядають різноманітні аспекти покращення стану здоров’я військовослужбовців засобами фізичної культури і спорту. До четвертої групи увійшли публікації, що охоплюють наукові праці, де дослідники розглядають методичні засади фізичної підготовки військовослужбовців. П’яту групу досліджень охоплюють публікації, у яких дослідники розглядають організаційно-методичні засади спеціальної фізичної підготовки військовослужбовців та формування умінь і навичок особистої безпеки. Ще одна група досліджень і публікацій – шоста, охоплює праці, у яких автори розглядають різноманітні аспекти вдосконалення фізичної підготовки фахівців правоохоронних органів і військових формувань.Узагальнення результатів огляду масиву публікацій з проблеми дисертаційного дослідження дозволяє перейти до наступного етапу дослідження – узагальнення особливостей та характеристики змісту фізичної підготовки курсантів і слухачів на тактичному та оперативно-тактичному рівнях в умовах традиційної системи військової освіти у ВЗВО ДПСУ.
ЕВОЛЮЦІЯ ТЕНДЕНЦІЙ НАЦІОНАЛЬНО-ПАТРІОТИЧНОГО ВИХОВАННЯ В МОЛОДІЖНИХ ОРГАНІЗАЦІЯХ ЗАХІДНОЇ УКРАЇНСЬКОЇ ДІАСПОРИ ДРУГОЇ ПОЛОВИНИ ХХ – ПОЧАТКУ ХХІ СТ.
Authors: ЖУЛКОВСЬКИЙ Вадим
Published: August 2021

У статті здійснено аналіз тенденцій національно-патріотичного виховання у молодіжних організаціях західної української діаспори другої половини ХХ – початку ХХІ ст. Розроблено критерії та обґрунтовано періодизацію розвитку національно-патріотичного виховання в молодіжних і студентських організаціях західної української діаспори. Критеріями визначено: соціокультурний (суспільно-історичні передумови та діяльність громадських організацій у здійсненні національно-патріотичного виховання молоді); нормативно-правовий (інституційне забезпечення діяльності молодіжних і студентських організацій в західній українській діаспорі) і організаційно-педагогічний (формування мети, змісту, завдань, форм, методів і засобів національно-патріотичного виховання молоді у молодіжних і студентських організаціях західної української діаспори). З’ясовано, що національно-патріотичне виховання молоді в західній українській діаспорі – це цілеспрямована діяльність виховних інституцій (родини, церкви, рідномовної школи, громадських і молодіжних організацій), спрямована на формування української етнокультурної ідентичності через засвоєння рідної мови та культурних надбань українців, дотримання їх національних традицій і, водночас, на формування громадянина держав проживання, позаяк для багатьох представників молодої генерації вони стали їх батьківщиною – країною народження. Проблема творчого використання напрацьованого закордонним українством досвіду національно-патріотичного виховання молодого покоління у поліетнічному соціумі на сьогодні набуває все більшої актуальності. Закономірно, що провідна роль у цьому належить молоді діаспори, яка бере активну участь у розбудові України як незалежної, демократичної, правової, громадянської держави.
SUBSTANTIATION OF THE NEED TO ESTABLISH THE READINESS OF FUTURE PSYCHOLOGISTS TO TACKLE CONFLICT SITUATIONS IN THE PROFESSIONAL ACTIVITY
Authors: ЮРКОВ Анатолій
Published: August 2021

The article studies the theoretical review and substantiation of psychological and pedagogical aspects of the problem of establishment of the readiness of future military psychologists to tackle conflict situations in their professional activities. The conducted scientific research made it possible to reveal the main loads and specifics of the practical activities of future military psychologists during their service in military units, which, in turn, actualized the need to establish readiness among young officers even at the stages of training in higher military educational institutions.The paper analyzes the issue of “readiness for professional activity”, and shows that the space of scientific thoughts is heterogeneous and has many approaches to understanding this definition.It is identified that readiness for the future military psychologist to tackle conflict situations in professional activity is a complex characteristic of the individual, including a system of professional motives, psychological qualities, attitudes and states, subject and intellectual knowledge, skills and abilities, which together is the key to the effective performance of functional duties. The paper proposes to interpret the process “readiness of future military psychologists to resolve conflict situations in their professional activities” as a holistic training covering professional knowledge, skills, patriotic views and beliefs; professional orientation to military service; reflection of their achievements; professional self-improvement.It is found that the content of the readiness of future military psychologists to tackle conflict situations in professional activity is a set of relevant knowledge and skills, which is provided by mastering the relevant profession (professional training), acquiring professionally important personality qualities, entering professional activity after graduation from a higher military educational institution (professional adaptation) skill development in military service (professional self-improvement). Based on the best practices of the scientific community, five main components of readiness are outlined: motivational, value-oriented, communicative-informational, creative, operational-activity.
¿Qué nos dicen las encuestas sobre la formación de expectativas de inflación?
Authors: Iregui-Bohórquez Ana María , Anzola-Bravo César , Ballén-Rubio Luisa Fernanda , Bejarano-Salcedo Valeria , González-Molano Eliana , Grajales-Olarte Anderson , Guarín-López Alexander , Hernández-Montes María Alejandra , Hernández-Ortega Ramón , Julio-Román Juan Manuel , Melo-Velandia Luis Fernando , Muñoz-Martínez Jonathan , Núñez-Amórtegui Héctor , Otero-Cardona Jesús , Pérez-Amaya Julián , Rincón-Torres Andrey Duván , Romero-Chamorro José Vicente , Sánchez-Jabba Andrés , Torres-Medina Paula Andrea
Published: August 2021

Una tarea fundamental del Banco de la República -Banrep- es el seguimiento de las expectativas de inflación, debido a que estas reflejan la credibilidad de la política monetaria. Este documento estudia la formación de expectativas de inflación en Colombia a partir de la información contenida en encuestas. La evidencia sugiere que los pronósticos de las encuestas no son sistemáticamente mejores (o peores) que los que resultan de modelos. Además, cuando las expectativas de las encuestas se incluyen como fuente adicional en los modelos del Banrep, se obtienen ganancias moderadas en términos de la capacidad de pronosticar horizontes de tiempo largos. De otra parte, se encuentra que las expectativas convergen a la meta de inflación del Banco, es decir están ancladas, aunque el grado de convergencia depende del tipo de agente y sector económico. Se encuentra evidencia de desacuerdo y sesgo en la expectativa agregada. Esto podría obedecer a la heterogeneidad de los agentes, por lo que no es recomendable utilizar el promedio de las encuestas como indicador de la inflación futura. Por último, los resultados indican que en un entorno económico cambiante los analistas económicos no revisan de manera eficiente sus expectativas cuando reciben nueva información.
Analisis Aerodinamika Bodi Mobil Hemat Energi Kelas Urban Menggunakan Simulasi Computational Fluid Dynamics
Authors: Vajra Glaudius Alexander , Tobing Sheila , Iskandar Isdaryanto
Published: August 2021

Kontes Mobil Hemat Energi (KMHE) merupakan kompetisi nasional yang diselenggarakan setiap tahun untuk menguji kemampuan merancang dan mengompetisikan kendaraan yang ramah lingkungan. Sejak tahun 2017, Universitas Katolik Indonesia Atma Jaya secara rutin mengikuti kompetisi ini melalui Workshop Mesin UNIKA Atma Jaya (WSM) pada kategori Urban. Penelitian ini bertujuan untuk menghasilkan desain bodi yang aerodinamis dengan target nilai koefisien gaya hambat lebih rendah dari 0,35 (CD  0,35). Penelitian dilakukan menggunakan simulasi CFD pada software ANSYS v17.2. Perancangan bodi dimulai dengan membuat desain base model untuk menyesuaikan dengan regulasi KMHE 2019 serta sasis dan komponen kelistrikan yang baru. Modifikasi desain base model dilakukan untuk mencapai target nilai CD. Modifikasi yang dilakukan berupa penambahan spoiler, membuat coakan pada bagian bawah di sisi belakang kendaraan dan memperhalus sudut tajam pada desain bodi. Modifikasi tersebut menghasilkan desain bodi dengan nilai CD rata-rata sebesar 0,295183 yang akan digunakan oleh tim WSM untuk menghadapi KMHE 2021.
Unjuk kerja Turbin Savonius Menggunakan Generator Sinkron Magnet Permanen pada Variasi Pembebanan dan Kecepatan Angin yang Berbeda
Authors: Herlambang Yusuf Dewantoro , Supriyo Supriyo , Prasetiyo Budhi , Mulud Teguh Harijono
Published: August 2021

Energi angin merupakan sumber energi terbarukan yang sangat melimpah di Indonesia, karena merupakan negara tropis yang memiliki potensi angin yang cukup besar. Penelitian ini difokuskan pada turbin angin Savonius poros vertikal karena mampu menerima aliran angin dari segala arah. Tujuan penelitian ini adalah membuat turbin Savonius putaran rendah menggunakan generator sinkron permanen magnet untuk meningkatkan kinerja pada kondisi kecepatan angin yang berbeda. Metode penelitian ini adalah merancang, membuat, menguji alat, dan menganalisis kinerja turbin Savonius pada kecepatan angin 5 m/s, 7 m/s, 9 m/s, dan 11 m/s. Turbin Savonius ini memiliki dimensi rangka sudu tinggi 700 mm dan dimensi sudu turbin tinggi 800 mm, lebar diameter sudu 680 mm. Mekanisme transmisi menggunakan v-belt dan pulley berdiameter 60 mm dan 120 mm yang dihubungkan dengan generator sinkron magnet permanen, Sedangkan tinggi rangka penyangga 750 mm dilengkapi denga roda jalan. Hasil penelitian menunjukkan bahwa pada pembebanan 5 W menghasilka putaran generator rata-rata 520 rpm dan daya generator sebesar 5,29 W.
Rancang Bangun Alat Uji Injektor Nozzle Spray Semi Otomatis
Authors: Yanuar Padang , Khoryanton Ampala , Oktariza Gio
Published: August 2021

Injektor merupakan salah satu komponen di mesin diesel yang berfungsi sebagai aktuator ujung sistem bahan bakar diesel dengan fungsi untuk mengabutkan solar bertekanan kedalam ruang bakar. Pengetesan injektor merupakan salah satu metode perawatan yang digunakan untuk mengetahui kondisi injektor, pengetesan injektor secara manual membutuhkan waktu yang tergolong lama dan tidak ramah lingkungan. Cara kerja Injektor tester manual yaitu dengan cara memompakan tuas yang terhubung dengan pressure gauge yang menyebabkan bahan bakar mengalir ke injektor, jika tekanan sudah tercapai maka bahan bakar akan keluar dari injektor. Tujuan dari makalah ini adalah menyampaikan hasil rancang bangun alat uji injektor dengan desain yang efektif dan efisien. Metode penelitian ini meliputi identifikasi masalah, studi pustaka, serta rancang bangun alat. Hasil yang diperoleh adalah alat uji injektor mampu digunakan untuk menguji 4 injektor secara bersamaan dengan dilengkapi motor sebagai penggerak serta dilengkapi penampungan bahan bakar hasil pengujian. Kesimpulan dari penelitian ini adalah rancang bangun alat uji injektor dengan motor penggerak dapat mempersingkat waktu pengujian dan dapat melindungi lingkungan dari cemaran bahan bakar yang keluar dari alat uji.
Internal Marketing as a Basic in Building Job Satisfaction and Service Quality in Non-Star Hotel in Denpasar
Authors: Rihayana I Gede , Salain Putu Pradiva Putra , Rismawan Putu Agus Eka
Published: August 2021

This study aims to analyze the phenomenon of competition in the field of providing hotel lodging services, where the growing development of tourism causes the growth rate of tourism accommodation such as hotels to also increase. This causes non-star hotels as one of the providers of hospitality services to also improve to face this competition by changing the system they have in order to still have an advantage over their competitors. In this study using respondents as many as 91 people with quantitative analysis and testing the research path test was carried out using the Partial Least Square (Smart PLS) 2.0 analysis tool. Based on the results of the research analysis, it was found that internal marketing had a significant positive effect on job satisfaction, job satisfaction had an insignificant positive effect on service quality, and internal marketing had a significant positive effect on service quality. The implementation of this research is to maintain and improve internal marketing by rewarding work performance, to increase job satisfaction by listening more to the suggestions given by employees, and to maintain and improve service quality by always giving personal/special attention to guests who stay and understand the special needs of staying guests. In addition, the results of this study also create a gap for further research, where the relationship between internal marketing and service quality has no significant positive effect.
Effective Marketing Strategies of McDonald’s in Malaysia and Indonesia
Authors: Jian Oh Zi , Utama A.A. Gde Satia , Binti Wan Musa Wan Nurin Afrina , Bin Hasly Wafiq , Binti Al-Rifae Ramizah Fatimah , Binti Mohamad Hussa Nur Syawaltul Aisyah , Andriawan Nofel
Published: August 2021

The purpose of this study is to examine the effective marketing strategies of McDonald’s in Malaysia and Indonesia. The research method used online survey and analyzed by using SPSS version 24. Literature reviews, journals, and papers also are analyzed to support the collected data. The findings indicated that 87.07% of respondents are satisfied with the existing services whereas 69.83% of respondents are satisfied with the food by McDonald's. The findings also showed that the majority of consumers knew McDonald's from social media. The findings provide suggestions for future research and improvement provided by McDonald especially for offering more options and providing more discounts in their services.
Henoch Schönlein Purpura / Ig A Vasculitis in Children and Risk Factors for Renal Involvement
Authors: Demir Selcan , Candan Cengiz , Turhan Pınar , Ergüven Müferet
Published: August 2021

Objective: Henoch Schönlein Purpura also known as IgA vasculitis is the most common form of pediatric vasculitis and renal involvement is responsible for the mortality and long-term morbidity. We aimed to describe the epidemiological, clinical, and laboratory characteristics of patients with IgAV and analyze the predicting factors associated with renal involvement.

Materials and Methods: This study included188 children diagnosed with IgA vasculitis. Demographical, and clinical data were retrospectively reviewed from the patient files.

Results: Of the 188 IgA vasculitis patients, 51.6% were female. The mean±SD age at diagnosis was 8.49±3.35 years, and 66% of them were diagnosed before 10 years of age. All the patients had palpable purpura, 35.6% had arthritis, 34.6% had gastrointestinal system involvement, 12.2% had renal disorders, at the time of diagnosis. Besides 23(12.2%) patients presented with renal involvement, 42(22%) patients developed renal involvement at follow-up. Patients under 10 years of age had significantly more arthritis, patients over 10 years of age had significantly more renal involvement. Among laboratory work-up, erythrocyte sedimentation rate levels were found significantly higher in patients with renal involvement. In multivariate analysis, the occurrence of renal involvement was not associated with any of the defined demographic and clinical characteristics of the disease. Although erythrocyte sedimentation rate levels showed a higher risk ratio, it has only borderline significance.

Conclusion: Although IgA vasculitis is a self-limiting disease, renal involvement can cause serious complications. In the presented study, being older than 10 years of age and having high levels of erythrocyte sedimentation rate at the time of diagnosis could serve as a possible predictor of renal involvement.
Left-wing Regimes in Contemporary Latin America: Theoretical Concepts and Political Practice
Authors:   Institute of Latin America of the Russian Academy of Science, Iwanowski Zbigniew
Published: August 2021

The article examines contemporary approaches to the interpretation of left-wing political regimes and offers his own typology. Particular attention is paid to the fluctuations of the political pendulum in the region in the first decades of this century, the reasons for the successes and failures of the left forces. The author analyzes the ideology and practical activity of the center-left and radical left governments and comes to the conclusion that the persisting and even deepening disagreements between them are associated not only with the interpretation of the socialist ideas, the recognition of various forms of property, the role of the state in the economy, its social functions and foreign policy orientation, but also with the peculiarities of electoral legislation, ensuring political pluralism, forms of political participation and respect for human rights and civil liberties.
Argentina Reformer Mariano Fragueiro
Authors:   Institute of World History of the Russian Academy of Sciences, Kazakov Vladimir
Published: August 2021

This article examines the ideas and activity of the Argentina thinker and political figure Mariano Fragueiro (1795–1872), his plan of modernization of Argentina and the reaction to his reforms from the liberal elite. According to him liberal model was not sufficient to the progressive development of the country. Нe proclaimed that the chief cause of the social instability was that the workers did not have access to the property. The remedy proposed was the nationalization of the circulating capital credit and banks for rapid development of the national market, the rose of investments and liquidation of the conflict between capital and labor.