bluuebunny/crossref_metadata_2025 huggingface dataset:
Penghindaran Pajak Di Indonesia: Pengaruh Transfer Pricing dan Customer Concentration Dimoderasi Oleh Peran Komisaris Independen
Authors: Yohana Bella , Darmastuti Dewi , Widyastuti Shinta
Published: July 2022

Abstrak: Latar Belakang: Penghindaran pajak yang dilakukan oleh perusahaan berorientasi laba, sudah merupakan strategi global sebagai salah satu dampak globalisasi dari segi perekonomian. Skema yang paling banyak digunakan adalah transfer picing. Organisasi usaha yang melakukan penjualan lebih dari 10% dari total penjualannya juga terindikasi melakukan peghindaran pajak. Komisaris Independen, yang termasuk dalam sistem tata kelola perusahaan, diharapkan mampu untuk mengurangi masalah keagenan, terkhususnya dalam menekan penghindaran pajak yang dilakukan oleh organisasi usaha.Tujuan: Penelitian ini menganalisis apakah transfer pricing serta customer consentration berpengaruh terhadap penghindaran pajak. Penelitian ini juga menguji apakah Komisaris Independen dapat memoderasi pengaruh dari transfer pricing, customer consentration terhadap penghindaran pajak.Metode Penelitian: Penelitian ini menggunakan sampel 112 data perusahaan dan tahun dari organisasi usaha non-keuangan yang terdaftar di Bursa Efek Indonesia periode 2017-2019 dengan analisis regresi panel sebagai metode analisis. Hasil Penelitian: Penelitian ini menunjukkan transfer pricing berpengaruh positif signifikan terhadap penghindaran pajak. Sebaliknya, customer concentration terbukti memiliki pengaruh negatif terhadap penghindaran pajak, sedangkan Komisaris Independen terbukti tidak dapat memoderasi pengaruh transfer pricing dan customer consentration terhadap penghindaran pajak.Keterbatasan Penelitian: Penelitian ini tidak memasukkan perusahaan keuangan sehingga dan hanya mengambil sampel dari tahun 2017-2019 sehingga kurang menggambarkan keseluruhan penghindaran pajak.Keaslian/Novetly Penelitian: Penelitian ini berkontribusi dalam literatur terkait dengan customer concentration, yang mungkin dapat menjadi perhatian pemerintah atau perusahaan terkait determinan penghindaran pajak perusahaan. Selain itu, penelitian menggunakan variabel dan rentang waktu berbeda dari peneliti terdahulu.
Scoliosis Detection Based on Feature Extraction from Region-of-Interest
Authors: Tang Yang , Xi Chenping , Gong Zhen , Li Lin
Published: July 2022

In recent years, the incidence of scoliosis is rising among adolescents. Considering the radiation hazards of X-ray detection, this paper intends to develop an effective non-radiation detection method for scoliosis. The research method consists of the following steps: (1) Collect clear an image of the back of the patient with a high-resolution digital camera, and optimize the image through preprocessing; (2) Segment the region of interest (ROI) of the back and spine to reduce the complexity of subsequent calculations; (3) Extract the back contour and mark the feature points; (4) Extract features according to the grayscale change of the spine ROI, and fit the spine midline according to the feature points; (5) Evaluate the degree of scoliosis according to the symmetry of the posture features and the Cobb angle of the spine midline. Finally, experimental results were analyzed, which indicate that the proposed scoliosis detection method can preliminarily evaluate the posture features. The scoliosis detection error fell in the reasonable range (0-4 degrees), when the subjects had a Cobb angle between 0 and 30 degrees. Hence, our algorithm is accurate and effective, and provides a low-cost, efficient solution for scoliosis detection.
A Novel Hyperparameter Optimization Aided Hand Gesture Recognition Framework Based on Deep Learning Algorithms
Authors: Yilmaz Abdullah Asim
Published: July 2022

The recognition of hand gestures in cluttered or complex environments is a vital research area in the human-computer interaction and computer vision fields due to its various potential applications, such as hand action analysis, driver hand behaviour monitoring, virtual reality, pose estimation, human action recognition, and sign language recognition. In order to create more reliable and efficient algorithms in this research field, various approaches have been suggested in recent years. However, a robust system is still elusive. For this reason, a new deep learning-based architecture for classifying hand gestures is suggested in this study; it is based on a hybrid model. The study makes two main contributions to the literature. The first is the creation of a new database for hand gesture recognition. The second is a novel hybrid architecture that combines two widely used pre-trained network models in an optimised manner, using a genetic algorithm for hyperparameter optimization. The proposed method comprises five main phases, namely, data acquisition, pre-processing, the design of the deep neural network architecture, hyperparameter optimization, the training of the proposed deep neural network architecture. The proposed method was tested on three comprehensive datasets. The experimental results reveal that the suggested method can effectively classify hand gestures with a high accuracy rate and that it outperforms the state-of-the-art methods in the literature.
Envelope Detection by Shannon Energy Calculation in DCT Domain and DFS-Based Notch Filter for Interference Mitigation in GNSS Receivers
Authors: Khezzar Zaki Aissam , Benzid Redha , Saidi Lamir , Smail Mostafa Kamel
Published: July 2022

A new pre-correlation technique to enhance the Global Navigation Satellite Systems (GNSS) receivers, against the continuous wave interferences (CWI), is presented. Accordingly, the detection and the localisation procedure are constituted of many steps. First, the discrete cosine transform (DCT) is applied on the contaminated signal. Next, the Shannon-energy envelope detector, in the DCT-domain, is accomplished. Then, all envelope magnitudes above a predefined threshold, representing the interference components, are localized in the frequency domain. The following step consists in the use of the discrete Fourier series (DFS) technique to calculate the corresponding contributing harmonics of the CW interferences. Finally, the interference is reduced efficiently by a subtraction of its approximated version from the original contaminated signal. The results provided from the simulation prove that the DFS-based notch filter in terms of signal quality restoration, for both single-tone and multi-tone, is of superior performance compared to the classical notch filtering.
A Deep Learning Powered System to Lie Detection While Online Study
Authors: Thao Le Quang , Cuong Duong Duc , Nhi Nguyen Nhan , Tam Nguyen Duc
Published: July 2022

Many education facilities have recently switched to online learning due to the COVID-19 pandemic. The nature of online learning makes it easier for dishonest behaviors, such as cheating or lying during lessons. We propose a new artificial intelligence - powered solution to help educators solve this rising problem for a fairer learning environment. We created a visual representation contrastive learning method with the MobileNetV2 network as the backbone to improve predictability from an unlabeled dataset which can be deployed on low power consumption devices. The experiment shows an accuracy of up to 59%, better than several previous research, proving the usability of this approach.
An Improved BM3D-Canny-Zernike Algorithm for Micro-Size Detection of Electronic Connectors
Authors: Wang Zhenyu , Yang Mingshun , Ren Leijie , Han Jiali , Liu Yirou , Zhao Xingbai , Feng Yangang
Published: July 2022

To detect the micro-size injection molded parts of electronic connectors, this paper establishes a complete size detection system based on machine vision, and measures the size through image acquisition and processing, according to the features of the injection molded parts. The proposed system is called the improved BM3D-Canny-Zernike algorithm. Specifically, the traditional block matching and three-dimensional filtering (BM3D) image denoising algorithm was improved to optimize the peak signal-to-noise ratio (PSNR) and reduce the mean squared error (MSE). Then, the Canny algorithm was improved for pixel-level edge detection, and the Zernike moment is improved for detecting edges on the subpixel-level more effectively and reducing the calculation amount. Finally, the least squares method was employed to fit the edge to be measured. The exact pixel length was obtained by solving the function of different edges, thereby realizing size measurement. Experimental results show that the mean error percentage of our algorithm was 8.73%, which meets the needs of industrial detection.
Diagnosis of Heart Diseases Using Heart Sound Signals with the Developed Interpolation, CNN, and Relief Based Model
Authors: Yildirim Muhammed
Published: July 2022

The majority of deaths today are due to heart diseases. Early diagnosis of heart diseases will lead to early initiation of the treatment process. Therefore, computer-aided systems are of great importance. In this study, heart sounds were used for the early diagnosis and treatment of heart diseases. Diagnosing heart sounds provides important information about heart diseases. Therefore, a hybrid model was developed in the study. In the developed model, first of all, spectrograms were obtained from audio signals with the Mel-spectrogram method. Then, the interpolation method was used to train the developed model more accurately and with more data. Unlike other data augmentation methods, the interpolation method produces new data. The feature maps of the data were obtained using the Darknet53 architecture. In order for the developed model to work faster and more effectively, the feature map obtained using the Darknet53 architecture has been optimized using the Relief feature selection method. Finally, the obtained feature map was classified in different classifiers. While the accuracy value of the developed model in the first dataset was 99.63%, the accuracy rate in the second dataset was 97.19%. These values show that the developed model can be used to classify heart sounds.
A Deep Learning-Based Cluster Analysis Method for Large-Scale Multi-Label Images
Authors: Xu Yanping
Published: July 2022

Large-scale multi-label image classification requires determining the presence or absence of a target object in a large number of sample images. For highly specialized and complex multi-label image sets, it is especially important to ensure the accuracy of image classification. Traditional deep learning models usually don’t take into account image-label correlation constraints when classifying multi-label images, and the strategy of classifying images based only on their own features greatly limits the model performance. In this context, this paper focuses a deep learning-based cluster analysis method for large-scale multi-label images. We constructed a model for large-scale multi-label image category recognition, which consists of a global image feature extraction module, a feature activation vector generation module and an image category inter-label connection module. Using a graph convolutional network (GCN), we aggregated the information of image category label nodes in the constructed multi-label graph structure, while exploring the correlation between image category labels. A detailed description is presented on how to introduce the attention mechanism into the constructed model mentioned above for image category recognition. Experimental results have validated the effectiveness of the constructed model.
Approximate Position Estimation Method of Weak-Signal Receiver of Global Navigation Satellite Systems Assisted by Barometric Altimeter
Authors: Wu Peng , Feng Lu , Tong Haibo , Zhang Zhuxian
Published: July 2022

The satellite navigation receiver works in an environment, where the received signal is very weak. Sometimes, frame synchronization is impossible, for the antenna rotates with the flight carrier, and occlusions exist in the environment. After losing look, it is necessary to positioning reacquired signals. Rapid positioning can be completed without frame synchronization, utilizing auxiliary positioning algorithms like A-GPS. If the carrier is highly dynamic, however, the computing load of reacquired signal positioning would be too high, owing to the extreme fuzziness of the approximate position. Therefore, the application of auxiliary positioning algorithms is premised on the acquisition of the approximate position information, when frame synchronization is not possible. This paper proposes a method for estimating the approximate position of a satellite navigation receiver without frame synchronization: The approximate position is quickly obtained by measuring the elevation with a barometer, and searching under a user-defined “geocenter-satellite” coordinate system. Simulation results show that, the proposed algorithm could successfully compute the approximate position, when the barometric altimeter measures elevation with an accuracy within 1.8km, and when the coordinate system is established based on satellites with a long distance and a low angle of elevation, under the condition of global navigation satellite system (GNSS) constellation.
A Positive-Unlabeled Generative Adversarial Network for Super-Resolution Image Reconstruction Using a Charbonnier Loss
Authors: Xu Shuhua , Qi Mingming , Wang Xianming , Zhao Hanli , Hu Zhongyi , Sun Hongyu
Published: July 2022

Recently, the generative adversarial network (GAN) has been widely used to obtain the real high-frequency details of images. This spurs the application of GAN in super-resolution reconstruction. However, GAN is unstable in the training process, for the following two reasons: Firstly, the discriminator in GAN keeps the positive (true) and negative (false) criteria of the generated samples unchanged throughout the learning process, without considering the gradual quality improvement of the generated samples (Sometimes, the generated samples are even more realistic than the real samples). To solve the above problems, this paper proposes a super-resolution model based on positive-unlabeled (PU)-GAN-Charbon (SRPUGAN-Charbon). The proposed model includes one generator network that synthetizes super-resolution images and one discriminator network trained to distinguish super-resolution images from real high-resolution images. In addition, the Charbonnier loss function was called to handle the outliers in super-resolution images, and retain the low-frequency features of super-resolution images. Extensive experiments were conducted on three benchmark databases, including BSDS500, Set5, and Set14. The results show that the proposed SRPUGAN-Charbon method is superior to the most advanced methods in terms of visual effect, peak signal-to-noise ratio (PSNR), and structural similarity (SSIM).
Mango Plant Disease Detection System Using Hybrid BBHE and CNN Approach
Authors: Rajpoot Vikram , Dubey Rahul , Mannepalli Praveen Kumar , Kalyani Parcha , Maheshwari Saumil , Dixit Abhishek , Saxena Akash
Published: July 2022

Detection of plant diseases plays a crucial role in taking disease control measures to increase the quality and quantity of crops produced. Plant disease automation is beneficial because it eliminates surveillance work at significant farms. As plants are a food source, diagnosing leaf conditions early and accurately is essential. This work involves a detailed learning approach that automates leaf disease detection in mango plant species. This paper presents a detection system using Brightness Preserving Bi-Histogram Equalization (BBHE) and Convolutional Neural Network (CNN). The photographs of mango leaves were first flattened, then resized and translated to their threshold value, followed by feature extraction. CNN and BBHE have extensively been used for pattern recognition. The test images of affected leaves were subsequently uploaded to the system and then matched to the ailments being trained. Training data and test data were cross-validated to balance over-adjustment and under-adjustment problems. The proposed method correctly detects the mango leaves disease at the early stage with 99.21% maximum accuracy.
Dual-Layer Ranking Feature Selection Method Based on Statistical Formula for Driver Fatigue Detection of EMG Signals
Authors: Naim Faradila , Mustafa Mahfuzah , Sulaiman Norizam , Zahari Zarith Liyana
Published: July 2022

Electromyography (EMG) signals are one of the most studied inputs for driver drowsiness detection systems. As the number of EMG features available can be daunting, finding the most significant and minimal subset features is desirable. Hence, a simplified feature selection method is necessary. This work proposed a dual-layer ranking feature selection algorithm based on statistical formula f EMG signals for driver fatigue detection. In the beginning, in the first layer, 21 filter algorithms were calculated to rank 47 sets of EMG features (25 time-domain and 9 frequency-domain) and applied to six classifiers. Then, in the second layer, all the ranks were re-ranked based on the statistical formula (average, median, mode and variance). The classification performance of all rankings was compared along with the number of features. The highest classification accuracy achieved was 95% for 12 features using the Average Statistical Rank (ASR) and LDA classifier. It is conclusive that a combination of features from the time domain and frequency domain can deliver better performance compared to a single domain feature. Concurrently, the statistical rank ASR performed better than the single filter rank by reducing the number of features. The proposed model can be a benchmark for the enhanced feature selection method for EMG driver fatigue signal.
The Power to Structure
Authors: Canning Erin , Brown Susan , Roger Sarah , Martin Kimberley
Published: July 2022

Information systems are developed by people with intent—they are designed to help creators and users tell specific stories with data. Within information systems, the often invisible structures of metadata profoundly impact the meaning that can be derived from that data. The Linked Infrastructure for Networked Cultural Scholarship project (LINCS) helps humanities researchers tell stories by using linked open data to convert humanities datasets into organized, interconnected, machine-processable resources. LINCS provides context for online cultural materials, interlinks them, andgrounds them in sources to improve web resources for research. This article describes how the LINCS team is using the shared standards of linked data and especially ontologies—typically unseen yet powerful—to bring meaning mindfully to metadata through structure. The LINCS metadata—comprised of linked open data about cultural artifacts, people, and processes—and the structures that support it must represent multiple, diverse ways of knowing. It needs to enable various means of incorporating contextual data and of telling stories with nuance and context, situated and supported by data structures that reflect and make space for specificities and complexities. As it addresses specificity in each research dataset, LINCS is simultaneously working to balance interoperability, as achieved through a level of generalization, with contextual and domain-specific requirements. The LINCS team’s approach to ontology adoption and use centers on intersectionality, multiplicity, and difference. The question of what meaning the structures being used will bring to the data is as important as what meaning is introduced as a result of linking data together, and the project has built this premise into its decision-making and implementation processes. To convey an understanding of categories and classification as contextually embedded—culturally produced, intersecting, and discursive—the LINCS team frames them not as fixed but as grounds for investigation and starting points for understanding. Metadata structures are as important as vocabularies for producing such meaning.
Using Linked Data Sources to Enhance Catalog Discovery
Authors: Khan Huda , DeMarco Claire , Fernsebner Eslao Christine , Folsom Steven , Kovari Jason , Warner Simeon , Worrall Tim , Usong Astrid
Published: July 2022

Our research explores how linked data sources and non-library metadata can support open-ended discovery of library resources. We also consider which experimental methods are best suited to the improvement of library catalog systems. We provide an overview of the questions driving our discovery experiments with linked data, a summary of some of our usability findings, as well as our design and implementation approach. In addition, we situate the discussion of our work within the larger framework of library cataloging and curation practices.
Une théorie du développement économique
Authors: Landais Bernard
Published: July 2022

Beaucoup de sociétés sont en panne de développement ; pour relancer le pro- cessus, l'article propose un nouveau contexte théorique dérivé du modèle MIE-Croissance élargi au développement. L'importance des cultures humaines et de leur transmission est soulignée, à côté de toutes les forces d'investissement plus classiques. Le développement est aussi considérablement freiné et sociologiquement restreint par l'existence des pressions s'exerçant sur les choix des individus.
Prémisses pour la modification de certains concepts économiques causées par la pandémie de COVID-19
Authors: Banaszyk Piotr , Deszczyński Przemysław , Gorynia Marian , Malaga Krzysztof
Published: July 2022

Les auteurs de l'article3 proposent une thèse sur la nécessité de modifier la façon dont les sciences économiques (SE) sont pratiquées sous les aspects ontologiques, épisté- mologiques et méthodologiques. Ce besoin résulte de l'influence d'une série de facteurs apparus même dans la période pré-pandémique, pour lesquels la COVID-19 peut être une circonstance complémentaire, renforçant, voire déterminant directement le changement. La structure de l'article est subordonnée à l'objectif adopté qui représente la référence des auteurs à la thèse. Afin d'illustrer les domaines nécessitant des changements, on a sélec- tionné huit problèmes pour lesquels des postulats ont été présentés. Ces postulats constituent les changements souhaités dans la conduite de la recherche en SE. La principale méthode utilisée dans l'étude est la méthode d'analyse critique de la littérature.
Commerce international, croissance économique et environnement au Sénégal
Authors: Ndour Cheikh Tidiane , Faye Adama
Published: July 2022

Ce papier a pour objectif de combler le fossé de la littérature sur la relation entre commerce international, croissance économique et environnement en contribuant à une nouvelle analyse par pays. À cet égard, la relation entre commerce international et les émissions de carbone (CO2) est étudié en vérifiant parallèlement la validité de l'hypothèse de la courbe de Kuznets environnementale (CEK). A partir des données chronologiques sur la période 1971-2016, la méthodologie s'est appuyée sur l'analyse de cointégration avec l'approche de test lié au retard distribué autorégressif (ARDL). Les résultats attestent que l'intensité du commerce international diminue les émissions de CO2 au Sénégal. En outre, l'analyse confirme l'hypothèse en U à long terme entre les émissions de CO2 et la croissance économique.
Effets des transferts de fonds internationaux sur l'utilisation du crédit par les exploitants agricoles au Mali
Authors: Diamoutene Abdoul Karim
Published: July 2022

Cet article vise à analyser les effets des transferts de fonds des migrants internatio- naux sur l'utilisation du crédit par les exploitants agricoles au Mali. La méthode des scores de propension a été utilisée pour corriger l'endogénéité liée aux transferts de fonds. L'étude concerne 9040 exploitants dont les données sont issues de l'enquête Agricoles de Conjonc- ture Intégrée pour la campagne agricole 2017-2018. Les résultats révèlent une absence d'effet des transferts de fonds sur l'utilisation du crédit global par les exploitants agricoles. Cependant, les résultats selon les sources montrent un effet négatif pour le crédit formel en raison du crédit intrants et semences de la Compagnie Malienne de Développement des Textiles (CMDT). Les crédits institutionnels (banque et microfinance) et informels ne se sont pas révélés significatifs. Cette absence d'effet, du côté des prêteurs institutionnels, est liée à la l'inutilisation du canal des prêteurs formels pour l'envoi de fonds et par le niveau élevé du risque de l'activité agricole, d'une part, et par l'incapacité des établissements financiers de développer des produits adaptés aux besoins des exploitants. Du côté des prêteurs informels, elle se justifie par l'insuffisance des montants des transferts obligeant les exploitants à toujours recourir à ce marché.
Écart de production dans la Zone UEMOA : analyse comparative d'une estimation par la fonction de production, le filtre de Kalman et le VAR structurel bayésien
Authors: Thioune Thierno
Published: July 2022

Les notions de production potentielle et d'écart de production (output gap) constituent des outils importants permettant aux banques centrales et en particulier à la Banque centrale des États de l'Afrique de l'Ouest (BCEAO) de prévoir l'inflation dans la poursuite de leur objectif prioritaire de maitrise de l'inflation. Le choix d'une méthode d'estimation de l'inflation s'avère délicat. Ce papier propose une estimation de la production potentielle par les méthodes à composantes inobservables, l'approche de Watson (1986) et celle de Kuttner (1994), et par une méthode de modélisation économique, notamment le VAR structurel bayésien. Il propose également une comparaison de ces différentes méthodes avec la fonction de production très usitée dans la littérature et reconnue comme meilleure méthode d'estimation de la production potentielle pour les pays de l'UEMOA. Les résultats indiquent que les différentes approches ainsi que la fonction de production expliquent les différentes périodes de crise recensées au sein de l'union. L'analyse comparative, contre toute attente, révèle que seul l'output gap obtenu par la fonction de production n'explique pas l'inflation.
Impact de l'ouverture commerciale sur croissance économique dans l'UEMOA
Authors: Behanzin Tomondji Dayane Thiernaud , Konte Mamadou Abdoulaye
Published: July 2022

L'objectif de ce papier était de déterminer l'effet de l'ouverture commerciale sur la croissance économique dans les pays de l'UEMOA en mettant un accent sur l'existence d'un effet seuil et sur l'incidence de la qualité des exportations. Pour ce faire, un modèle en panel a été estimé à partir de l'approche Pool Mean Group (PMG) et les résultats ont montré que l'ouverture commerciale à un impact positif sur la croissance économique lorsque le degré d'ouverture mesuré par (Exportations biens et services + Importations biens et services)/ PIB est inférieur à 61,2% du PIB. Au-delà de ce seuil, l'impact de l'ouverture commerciale sur la croissance économique devient négatif. Les résultats permettent également de mettre en évidence qu'en l'absence de la prise en compte de l'effet seuil, l'ouverture commerciale a un impact négatif sur la croissance économique. En outre, les résultats de l'étude mettent en exergue que l'amélioration de la qualité des exportations combinée à l'ouverture commerciale affecte positivement de la croissance économique dans l'UEMOA.
O couro e suas alternativas: uma análise do seu uso no mercado da moda
Authors: Schneider Thaissa , Behling Fernandes Karolyne Mylena , Pedri Pereira Laura
Published: July 2022

O presente artigo tem foco na pesquisa e análise do couro animal, suas características e impactos no meio ambiente, além de alternativas no mercado da moda. A pesquisa apresenta uma revisão bibliográfica com os principais materiais que estão sendo utilizados como alternativas ao couro. Uma pesquisa de campo foi realizada por meio de um questionário aplicado a jovens catarinenses da Geração Z. Percebeu-se que esse público têm uma boa adesão à nova possibilidade apresentada, o material vegetal. Essa nova alternativa provém de materiais naturais para fabricação, utiliza menos água e possui um padrão alto de qualidade. O artigo busca demonstrar algumas das alternativas vegetais existentes e descrevê-las, apresentar o comportamento de consumo da sociedade e analisar a opinião do público-alvo sobre o assunto.
A importância da visão sistêmica para lideranças em contextos complexos, uma revisão integrativa da literatura
Authors: Forte Denise Wentz , Silva Karmel Cristina Nardi da , José Castro De Almeida Cunha Cristiano , Da Silva Solange Maria
Published: July 2022

O Liderar na atualidade torna-se um desafio, dada a intensidade de mudanças vivenciadas na sociedade em período de transformação digital. Os desafios estão presentes dentro das organizações e relacionados principalmente a tecnologia, processos e pessoas. Dessa forma, entende-se que as organizações são sistemas adaptativos complexos, pois têm uma necessidade frequente de se adaptar à complexidade que se apresenta constantemente nas mudanças. O objetivo deste artigo é analisar as publicações científicas da última década, buscando subsídios para entender como o pensamento sistêmico pode auxiliar as lideranças para lidar com a complexidade. Para isso, foi realizada uma revisão integrativa da literatura nas bases Scopus, Web of Science e Ebsco. Como resultado da revisão de literatura, foram observados quatro temas que se destacam para o desenvolvimento de líderes, no que se refere ao pensamento sistêmico: Sistemas Adaptativos Complexos e Liderança; Competências e valores que guiam as lideranças; Propostas de modelos e Avaliação do pensamento sistêmico em lideranças. A análise das publicações demonstrou a importância do pensamento sistêmico para os líderes, principalmente do ponto de vista das relações que se estabelecem nas equipes e organizações, sendo interessante que eles desenvolvam certas competências para lidar com a complexidade a partir desse pensamento.
Szkolenie ogólnowojskowe i specjalistyczne wojsk inżynieryjnych w oddziałach liniowych na przykładzie Śląskiego Okręgu Wojskowego w latach 1945–2011
Authors: Pietrygała Robert
Published: July 2022

Jednym z głównych zadań wojska było i nadal jest szkolenie stanu osobowego do zadań, z którymi przyjdzie się zmierzyć na wypadek konfliktu zbrojnego. W procesie tym brały udział całe jednostki i pododdziały wojskowe różnego szczebla. Główny trzon szkolący się (oprócz kadr dowódczych) stanowili – do czasu uzawodowienia armii – żołnierze zasadniczej służby wojskowej. Proces ten skupiał się zasadniczo na dwóch aspektach: szeroko rozumianym szkoleniu ogólnowojskowym (które obejmowało m.in. regulaminy, musztry, szkolenia ogniowe, wychowanie fizyczne, szkolenie chemiczne i przeciwlotnicze, terenoznawstwo, taktyki itp.) oraz specjalistycznym, na które składało się m.in. zagadnienie minerstwa, przepraw, zapór inżynieryjnych, mostów, dróg, fortyfikacji i maskowania. Głównym celem szkolenia oddziałów wojsk inżynieryjnych w czasie zimnowojennej rywalizacji było przygotowanie ich do sprawnego wykonania zadań i prac z dziedziny inżynieryjnego zabezpieczenia ćwiczeń z wojskami w warunkach ówczesnego pola walki – w szczególności w sytuacji obustronnego użycia broni masowego rażenia. Artykuł porusza powyższe aspekty szkolenia wojsk inżynieryjnych w okresie pełnego funkcjonowania Śląskiego Okręgu Wojskowego w latach 1945–2011.
JAVANESE FAMILY ETHIC IN SERAT SALOKATAMA
Authors: Mustolehudin Mustolehudin , Muawanah Siti , Rahmah Yulinar Aini , Mibtadin Mibtadin , Sulaiman Sulaiman
Published: July 2022

The role of family has significant in maintaining harmonious life for each family member. For playing the family role, it is possible for the family refers to an ethical value. Javanese people maintain highly respectable values from their ancestors transferred by poets in the past. One of them was Mangkunegara IV, a descendant of King Surakarta who was prolific in producing some forms of literary works, such as serat piwulang. This article is a discussion about Serat Salokatama, one of Mangkunegara IV’s valuable works. By using literature study and hermeneutical approaches, this study found out some important findings related to Javanese ethic. First, the Serat Salokatama is a work which contains some values important for family life. The most important is religious value as it will produce other respectable values, such as honesty, vigilant, patient, politeness, and kindness, humble, toughness and never giving up easily, and not arrogant. Second, the Serat Salokatama also teaches its readers the significance of interactive and constructive dialogue to maintain good family lives.
THE ANALYSIS OF ISLAMIC THEOLOGY TOWARD MANDI SAFAR RITUAL IN AKIT TRIBAL BENGKALIS-RIAU
Authors: Suroyo Suroyo , Putra Bima Maulana , Ratnawati Sri
Published: July 2022

Mandi Safar (Safar bathing) ritual is a tradition of rejecting reinforcements and a means of gathering for the coastal by Local Malay community in Rupat Island of Riau Province. This is an annual event. The purpose of this research is to show the local Islamic community's bathing Safar rite, which has attracted the attention of many Islamic theology. However, the event creates both benefits and drawbacks among those who support and oppose it.  As a result, the goal of this research is to give an overview and analyzing of the influence of Islamic theology toward Mandi Safar ritual. This is a qualitative ethnographic study that highlights the role of researchers as the key instrument in the research process. This research's informants are local communities and their leaders, as well as culture experts, with a total of ten informants residing on Rupat Island. They comprehend the importance of these rites and skills in their everyday lives, as well as the responsibility of local governments in preserving this tradition. Malay culture and the local population of Rupat Island thinks that the month of Safar brings a bala' and ailment, thus they perform the Safar bath ritual, which includes reading chosen letters from the Qur'an, ablution, prayer congratulations, and prayer rejections. Safar bath has its purpose in the month of Safar to get safety and prevent ill luck. The novelty of this research lies in the unveiling the Islamic theology influence toward Safar bathing from the Koran and hadith.
DRUGS IN QURANIC PERSPECTIVE: AN OVERVIEW
Authors: Usman Abur Hamdi , Wazir Rosni , Rosman Syamim Zakwan , Awang Abdul Hadi , Sudi Suriani , Mohd Salleh Norsaleha
Published: July 2022

The drug is a particular term for a substance harmful to a person’s physical, spiritual (mental and emotional), and behavior when used. As a result of this effect, a person who uses drugs will become dependent on the drug and become addicted. In other words, drugs carry a very high risk that can be fatal. However, the dangers of drugs that are contagious in society today are given serious attention by Islam. In this regard, fatwā (a decision officially given by a Mufti or a Shariah State Committee) has already been issued to ban drug use. Thus, the Quran, as the primary reference in Islam, has a vital role in resolving the problem of Muslims related to drugs. Using the qualitative method of the library, this article shows that there are several verses of the Quran that discuss and provide guidance to the community in dealing with this issue. From the Quran, the word drug is associated with the meaning of the word al-Khamr (alcohol/intoxicant). Hence, the impact of drug abuse has many negative effects on society and this study can be used to supplement the existing literature to build modules, conduct rehabilitation programs or parental counseling by using the Quranic approachNarkoba adalah istilah khusus untuk zat yang berbahaya bagi fisik, ruhani (mental dan emosional), dan perilaku seseorang ketika digunakan. Akibat dari efek ini, seseorang yang menggunakan narkoba akan menjadi kecanduan. Dengan kata lain, narkoba membawa risiko yang sangat tinggi yang bisa berakibat fatal. Namun, bahaya narkoba yang mewabah di masyarakat dewasa ini mendapat perhatian serius oleh Islam. Dalam hal ini, fatwa (keputusan resmi yang diberikan oleh Mufti) telah dikeluarkan untuk melarang penggunaan narkoba. Dengan demikian, al-Qur’an sebagai rujukan utama dalam Islam memiliki peran vital dalam menyelesaikan masalah umat Islam terkait narkoba. Dengan menggunakan metode kualitatif perpustakaan, artikel ini menunjukkan bahwa ada beberapa ayat al-Qur’an yang membahas dan memberikan pedoman kepada masyarakat dalam menangani masalah ini. Dari al-Qur’an, kata narkoba dikaitkan dengan arti kata al-Khamr (alkohol/mabuk). Oleh karena itu, penyalahgunaan narkoba memiliki banyak dampak negatif bagi masyarakat dan penelitian ini dapat digunakan untuk melengkapi literatur yang ada untuk membangun modul, melakukan program rehabilitasi atau konseling orang tua dengan menggunakan pendekatan al-Qur’an
RUDIMENTAL PRINCIPLES OF INTERACTION IN THE HOLY QUR’AN: SURAH AL-HUJRAAT AS CASE STUDY
Authors: Yusuf Tajudeen , Ahmad Aliyu Okuta
Published: July 2022

The way in which people interact and address one another is crucial to expressing their social relationship; it encodes the relationship between interlocutors and reflects cultural values. Proper use of words in addressing a fellow or people strengthens peaceful coexistence among individuals and groups within and outside a given cultural setting. On the contrary, the unguarded use of words has been the primary cause of conflicts and disharmony around the world. The Holy Qur'an, as a divine revelation and guide from the Almighty, advocates good social relationships through speech and encourages respect for individual differences through words. At the same time, it warns against aggressive and unhealthy language. This present study examines the principles of communication and interaction contained in Surah Al-Hujraat (Qur’an, chapter 49) as a tool for a peaceful and harmonious relationship among individuals and groups. The study adopts the qualitative content analysis approach to analyze the chapter's extracted verses. The findings of the study reveal that the chapter provides some rudimental principles of interaction that promote the language of respect, and peaceful communication among individuals and groups in the society that enhance interpersonal relationships, regardless of race, color, rank, or tribe.Cara orang berinteraksi dan menyapa satu sama lain sangat penting untuk mengekspresikan hubungan sosial mereka; itu mengkodekan hubungan antara lawan bicara dan mencerminkan nilai-nilai budaya. Penggunaan kata-kata yang tepat dalam menyapa sesama atau orang lain memperkuat koeksistensi damai di antara individu dan kelompok di dalam dan di luar lingkungan budaya tertentu. Sebaliknya, penggunaan kata-kata yang tidak dijaga telah menjadi penyebab utama konflik dan ketidakharmonisan di seluruh dunia. Al-Qur'an Suci, sebagai wahyu ilahi dan panduan dari Yang Mahakuasa, menganjurkan hubungan sosial yang baik melalui ucapan dan mendorong penghormatan terhadap perbedaan individu melalui kata-kata. Pada saat yang sama, ia memperingatkan terhadap bahasa yang agresif dan tidak sehat. Kajian ini mendalami prinsip-prinsip komunikasi dan interaksi yang terkandung dalam Surah Al-Hujraat (Al-Qur'an, bab 49) sebagai alat untuk hubungan yang damai dan harmonis antara individu dan kelompok. Penelitian ini menggunakan pendekatan analisis isi kualitatif untuk menganalisis ayat-ayat yang disarikan dari bab tersebut. Temuan penelitian mengungkapkan bahwa surah ini memberikan beberapa prinsip dasar interaksi yang mempromosikan bahasa hormat, dan komunikasi damai antara individu dan kelompok dalam masyarakat yang meningkatkan hubungan interpersonal, terlepas dari ras, warna kulit, pangkat, atau suku.
Obsessive-Compulsive Disorder and Schizophrenia: Conceptualization, Assessment and Cognitive Behavioral Treatment
Authors: Hudak Robert , Rasmussen Amy
Published: July 2022

There is little doubt that schizophrenia (SZ) and obsessive-compulsive disorder (OCD) are among the most severe disorders to impact humanity. They are both common, significantly disabling and have the tendency to strike during critical developmental periods in a young person’s life. Schizophrenia affects approximately 1% of the global population and OCD has a lifetime prevalence of between 2% and 3% in the general population. The comorbidities in both SZ and OCD are common and frequently diagnosed, and research has generally found that comorbidities are associated with conditions that are more complex to diagnose and treat, and often result in less favorable prognoses. We review the research that has taken place regarding the co-occurrence of SZ and OCD, discuss it’s theoretical conceptulization and clinical differentiation and diagnosis. We then propose recommendations for the best practice of cognitive behavioral therapy in this difficult population, as well as areas that need exploration for future research.
OCD and Comorbid Depression: Assessment, Conceptualization, and Cognitive Behavioral Treatment
Authors: Abramowitz Jonathan S.
Published: July 2022

Many individuals with obsessive-compulsive disorder (OCD) also meet criteria for additional diagnoses. Among the most common co-occurring diagnoses are mood disorders—especially depression. This article focuses on the comorbidity between OCD and major depression. After discussing nature of OCD and depression, the rates and clinical impact of depression on OCD, the conceptualization, assessment, and treatment of OCD when it appears along with depression is covered in detail. The derivation and implementation of a cognitive behavioral treatment program specifically for depressed OCD patients is described and illustrated using a case example.
Pengembangan Perangkat Pembelajaran IPS SMP/MTs Kelas VIII untuk Melatih Keterampilan Sosial Siswa
Authors: Ana Kamilah  , Abdullah A. Fatikhul Amin
Published: July 2022

Many students put down Social Studies as boring class, because the learning model is less variable and poor of media. So that the development of learning media in the form of Student Textbooks (Buku Ajar Siswa) is made. The study design using type 4-D (define, design, develop, disseminate) development and research plan one group pretest-posttest design. The collection data method is observation, test, and quetionnaires. in trial of textbook difficulty level in category at very low or very easy to understand and can be regarded as  reliable instrument to measure feasibility RPP quality. Average score in each social skill including contributing ideas/opinions, being good listener, and respecting friend’s opinion was 89,69; 90,44; 90,03, which is on very high category. The student response toward components, newness, ease of understand, and practicing social skill of the device obtained percentage in a row was 72,92%, 79,69%, 79,69%, 65,63%, which shows the response of the student is very high. The study concludes that the learning device has high efecctiveness and quality to improve the study result and student’s social skill.  Based on this research, so that it can be used by social studies teachers in order to develop devices according to the nature of the material being taught to suit the learning objectives.
Online Derslerde Eğitmen-Öğrenci Etkileşiminin Değerlendirilmesi: Öğretim Görevlilerinin Bakış Açısı
Authors: SARAÇ Mehmet , DOĞAN Mehmet
Published: July 2022

Due to the COVID-19 pandemic, the learning process shifted from face-to-face learning to online learning as schools and universities were closed almost worldwide. After the pandemic restrictions, it seems that many educational institutions continue to offer online courses as an alternative to face-to-face classes, or they have begun to implement hybrid programs in which the students have both face-to-face and online courses. With the shift from face-to-face to online learning, the learning process has been affected negatively from different perspectives with varying degrees; however, the interaction between instructors and students has become more challenging to pursue at expected levels. Students tend to avoid interacting for many different reasons in the online learning process, or the instructors have some obstacles to a sound interaction with their students. By exploring the experiences and perceptions of the English language instructors, this descriptive study aimed to examine the perceptions of instructors regarding teacher-student interaction in online classes, the challenges faced by the practitioners, and their suggestions for course designers, policymakers and other related stakeholders. The researchers employed a qualitative research approach. The participants were 17 instructors working at the school of foreign languages at a state university. Semi-structured interviews were conducted to collect the qualitative data. The data was analysed by following the content analysis procedures. The findings reported insights into the interaction issues in online classes; the instructors had negative perceptions of the interaction in online classes due to the challenges they faced. In the light of the qualitative data, the present research offers valuable suggestions for decision-makers and practitioners, such as taking the participation of the learners into consideration in assessments and providing in-service training programs for EFL instructors.
Hydrogel Composite Based On Arrowroot Starch-G-Poly (Acrylamide-Co-Acrylic Acid)/Zeolite as Matrix of Controlled Release Urea Fertilizer
Authors: Sjaifullah Achmad , Winata I Nyoman Adi , Suhardiman Ahmad
Published: July 2022

Agricultural yields can be increased through fertilization. Conventional fertilization by spreading fertilizer on agricultural land is very ineffective. As much as 40-70% of the nitrogen from urea given through conventional fertilization will be leaching. This problem can be overcome by implementing a new fertilization system, namely by applying controlled fertilizer release technology or Control Release Fertilizer (CRF). The CRF system is made by loading or mixing urea fertilizer at the time of synthesis of a composite based on Arrowroot Starch-g-poly (acrylamide-co-acrylic acid)/zeolite. Fertilizer will come off gradually during fertilizing the land. Synthesis of starch-based hydrogel composite Arrowroot Starch-g-poly (acrylamide-co-acrylic acid)/zeolite loaded or mixed with urea fertilizer, has been successfully carried out. The composite's structure characterized by IR spectroscopy and its ability as CRF has also been tested through swelling and urea release tests in distilled water, phosphate buffer pH 5, pH 7 and pH 9. The results show that the swelling capacity and urea release in distilled water > Buffer pH 7 > pH 9 > pH 5. The welling degree in distilled water, Buffer pH 5, pH 7 and pH 9 is 39.078; 18,719; 36,296 and 33,510 g.g-1 respectively and the release of urea is 2,129; 1,829; 2,110; and 2,091 mg.mL-1 respectively and they showed significant differences.
Literatura oral y tradición en Canarias
Authors: Monroy Caballero Andrés
Published: July 2022

La literatura de tradición oral en Canarias es rica y variada, caracterizándose por su gran número de subgéneros: romancero, estribillo romancesco, décima lírica y narrativa, cancionero general, infantil y religioso, leyenda, cuento, teatro popular, apodo, fraseología popular, chiste, piropo, etc. Unos conviven de forma muy palpable en nuestro vivir diario, pero tristemente la gran mayoría de ellos son totalmente desconocidos para nosotros puesto que se encuentran en proceso de desaparición. La razón de esta obra es la de dar a conocer y divulgar el folclore popular desde la visión de la literatura tradicional tanto lírica como narrativa para dar vida a estas tradiciones que se encuentran camino de su definitiva desaparición vital.