Miracle-dz/UniFAR-FTUs huggingface dataset:
Análise multimodal da morte dos jornalistas na cobertura da tragédia da Chapecoense nos sites da RBS TV e do Foxsports.com.br

Este artigo defende a utilização da análise de enquadramento multimodal para compreender, primeiramente, a cobertura da queda do voo da LaMia que causou a morte de 71 pessoas no dia 29 de novembro de 2016 na Colômbia e, posteriormente, em particular, analisar o noticiário sobre a perda de 20 jornalistas brasileiros que estavam a bordo do avião. Para isso, estabeleceu-se uma análise dos diferentes modos comunicativos da notícia – imagem, narrativa e frame –, para entender a constituição do noticiário nos sites da RBS TV e do Foxsports.com. br. Ao analisar 182 notícias em um período de 13 dias, os resultados alcançados confirmaram a valorização da retórica de solidariedade à Chapecoense e uma menor produção de conteúdo noticioso sobre profissionais de organizações jornalísticas concorrentes, mesmo em um caso excepcional que resultou na morte de 20 jornalistas de oito meios de comunicação.
Bone Conduction Communication: Research Progress and Directions

Abstract : This report is a follow-on report to previous US Army Research Laboratory (ARL) work that served as a summary of bone conduction research that had been conducted to 2007 and provided a foundation for future research studies. Since then several more bone conduction communication studies both external and by ARL have been conducted to investigate the various characteristics of bone conduction communication systems. Progress has been made in understanding the nature of bone conduction hearing and speech perception, bone conduction psychophysics, and bone conduction technology. A number of bone conduction devices have been developed around the world, mostly outside of the United States; however, state-of-the-art bone conduction systems and bone conduction literature are not easily available due to their commercial limitations, trade restrictions, and military applications. However, there is still a scarcity of information about bone conduction in open literature and in trade magazines. In addition, information available in popular media outlets (e.g., TV, Internet, trade magazines) about the capabilities and physiological basis of bone conduction communication is frequently far from scientific scrutiny and leads to misinformation. This report provides a comprehensive summary of the state of the art in bone conduction communication technology applicable to the military. In addition, the report provides a list of current commercially available bone conduction devices, including pictures and short descriptions of their basic specifications.
Mitigating Malicious Adversaries Evasion Attacks in Industrial Internet of Things

With advanced 5G/6G networks, data-driven interconnected devices will increase exponentially. As a result, the Industrial Internet of Things (IIoT) requires data secure information extraction to apply digital services, medical diagnoses, and financial forecasting. This introduction of high-speed network mobile applications will also adapt. As a consequence, the scale and complexity of Android malware are rising. Detection of malware classification is vulnerable to attacks. A fabricated feature can force misclassification to produce the desired output. This article proposes a subset feature selection method to evade fabricated attacks in the IIoT environment. The method extracts application-aware features from a single android application to train an independent classification model. Ensemble-based learning is then used to train the distinct classification models. Finally, the collaborative ML classifier makes independent decisions to fight against adversarial evasion attacks. We compare and evaluate the benchmark Android malware dataset. The proposed method achieved 91% accuracy with 14 fabricated input features.
Reporting quality of animal studies published in journals listed in ULAKBIM TR index: a systematic review on compliance to the ARRIVE guidelines

: Transparent reporting of animal studies is key to ensure reproducibility. The primary guideline for reporting animal studies is the ARRIVE (Animal Research: Reporting of In Vivo Experiments). We aimed to evaluate the compliance to the updated ARRIVE guidelines (version 2.0, date 2020) in animal studies published in journals indexed by the Turkish Academic Network and Information Centre (ULAKBIM TR Index). This was a retrospective analysis of reporting quality of animal studies published in journals listed in ULAKBIM TR Index between January 2010 and August 2021. The percentage of articles that fully reported each " of the ARRIVE Essential 10: Compliance Questionnaire was calculated, and effects of journal-and article-related factors were evaluated. Totally, 235 articles published in 89 journals were included into the analysis. The mean percentage of fully reported items was 59.1%±10.9%, the least reported items being those related with bias— “blinding”, “allocation to study groups”, “assessment of statistical assumptions”, “excluded animals”, and “sample size calculation” (0.9%-10.6%). The journal’s publisher, frequency, language, being indexed in the Science Citation Index Expanded, and the ratio of animal studies had no significant effect on this percentage ( p >0.05). However, journals supporting the ARRIVE guidelines had significantly higher compliance (62.1%±10.1% vs. 58.2%±11.0% for supporters and non-supporters, respectively; p =0.017, 95%CI -7.0 to -0.7). Articles published after 2015 had higher compliance to the ARRIVE guidelines than those published previously (60.9%±10.4% vs. 57.9%±11.1%, respectively; p =0.037, 95%CI -5.8 to -0.2). Although progress has been made, compliance to the ARRIVE guidelines is still low in animal studies published in journals listed in ULAKBIM TR Index—Turkey's scientific journal database that covers over 800 peer-review journals. In order to increase the reporting quality and reproducibility of animal studies, it is imperative to raise awareness among researchers and journals, and to enforce the ARRIVE guidelines in editorial policy of journals.
Insights from twenty years of comparative research in Pacific Large Ocean States

ABSTRACT Under global environmental change, understanding the interactions between people and nature has become critical for human survival. Comparative research can identify trends within social-ecological systems providing key insights for both environmental and developmental research. Island systems, with clear land boundaries, have been proposed as ideal case studies for comparative research, but it is unclear to what extent their potential has been fulfilled. To summarize existing research and identify potential gaps and new directions, we reviewed comparative environmental and developmental research on Pacific Large Ocean States. A diversity of case study locations and research themes were addressed within the sample of reviewed studies. Within the reviewed literature climate change, energy infrastructure, trade and fisheries were key themes of environmental and developmental research compared between island systems. Research was biased towards wealthier Pacific Large Ocean States and those with a relatively higher degree of socio-economic development. Our review highlights the potential value of a stronger a priori inclusion of spatial scale and conceptual frameworks, such as spatial resilience, to facilitate generalization from case studies.
LAYOUT-DRIVEN WEBPAGE READING

Most visually impaired people use a screen reader when using a computer. However, numerous problems are encountered when using screen reader. One of the problems is the reading order of a webpage. Current screen readers basically read aloud the webpage from top to bottom, left to right. Webpages have structures, and information is emphasized by color and size. Normally, when sighted people read a webpage, they decide the reading order by referring to nontext information such as color and structure. In this research, we propose a method to determine the reading order on the basis of the saliency of each element of the webpage and the structure information of the webpage, such as menus and layout patterns.
Chinese License Plate Recognition Algorithm Based On UNet3+

With the development of intelligent transportation system, license plate recognition technology plays an increasingly important role in our life, and many related technologies have been proposed. However, most of these algorithms have a low success rate in detecting large Angle vehicle images in complex background. In this paper, we propose a Chinese license plate recognition algorithm based on UNet3+ to solve the problem of low license plate recognition rate in large-angle scenarios. The algorithm detects license plate position from three scales to improve the accuracy of license plate position recognition. At the same time, we propose a new loss function to enhance the boundary information of license plate. Finally, on the basis of the Chinese City Parking Dataset (CCPD) Dataset, we added the large Angle vehicle pictures we collected to construct a new Chinese license plate Dataset containing 30,000 images, and increased the amount of data through various data enhancement technologies. Experimental results show that our algorithm is effective in large Angle license plate recognition in complex scenes, and the accuracy rate reaches 94.3%.
Clinical Observation of Flapless Implantation in the Posterior Tooth Area under the Guidance of the Fully Guided Template

Objective Compared with the conventional flap implantation, the postoperative effect of flapless implantation of a single posterior tooth under the guidance of the fully guided template was observed. Materials and Methods 67 cases were divided into the template group (n = 35) and the flap group (n = 32) according to the wishes and actual situation of the patients. In the template group, the fully guided template was made by rapid prototyping technology, and the flapless implantation was performed under the guidance of the template in the posterior tooth area. The flap group underwent routine flap implantation. After the operation, the template group took CBCT (cone beam computed tomography) again and fitted it with that before the operation. Neck deviation, apical deviation, depth deviation, and axial angle deviation in buccolingual and mesiodistal directions were measured to observe the accuracy of the fully guided template. At the same time, the postoperative reactions of the two surgical methods were compared by recording the operation time, pain degree 24 hours after the operation, swelling degree 72 hours after the operation, and postoperative satisfaction of patients. Results Whether in buccolingual or mesiodistal directions, the maximum values of neck deviation, apical deviation, and depth deviation were less than 2 mm. The axial angle deviation was 0.07°∼5.93° in the buccolingual direction and 0°∼4.12° in the mesiodistal direction. The guiding effect of the template was relatively reliable, and the implantation site and depth were well controlled. Although there were small deviations, the accuracy of the template could meet the clinical needs. The operation time and the VAS (visual analogue scale) score 24 hours after the operation in the template group were lower than those in the flap group (P < 0.05), and the swelling degree rating 72 hours after the operation and postoperative satisfaction of the patients were better than those in the flap group (P < 0.05). Conclusion Compared with the conventional flap implantation, the flapless implantation in the posterior tooth area under the guidance of the fully guided template could improve the accuracy of the operation, shorten the operation time, and reduce the degree of postoperative pain and swelling, which had a certain positive clinical significance.
Chemotherapy Training Model To Improve Nurse Competence In The New Life Order Era

Introduction: Chemotherapy is one of treatments given to cancer patient which may cause potentially fatal side effect, death. Chemotherapy treatment is provided in an area with staffs trained in giving service based on the guidelines for treatment, preventing side effect and implication of the chemotherapy. The occurrence of Covid-19 pandemic requires the community to apply the new life order, including causing training as a learning process to have adjustment. This qualitative research aimed at examining the chemotherapy training model which may be implemented to nurses to improve their competence in the new life order situation and condition. Method: Focus Group Discussion was carried out with the executing nurses who had participated in chemotherapy training before the Covid-19 pandemic and in-depth interview was carried out with hospital medical staffs and room leader of oncological service room at the Hospital, and partner doctors. The results of FGD and interview were analyzed by summarizing, categorizing and making themes, designing them into a chemotherapy training model as needed by nurses to improve their competence. Result and Discussion: The materials and theories of chemotherapy training were delivered on an electronic based. The skill materials should, otherwise, be delivered face-to-face. The nurses stated that direct learning in service site made it easier for them to understand the materials. Learning was carried out in small groups through role play, and mentoring/coaching was also a learning method that was necessarily taken into consideration. Conclusion: Face-to-face method improved the competence better, but with the Covid-19 pandemic situation, of which end was yet unknown, and the new life order condition, the training model built should keep considering the health and safety of patients, health workers and training participants
Geometry of density matrix states

in chambers,the orbits of the states under the projective group PU(N + 1). The type of states correlates withthe vertices, edges, faces, etc. of the polytope, with the vertices making up a base of orthogonalpure states. The entropy function as a measure of the purity of these states is also easily calculable;we draw and consider some isentropic surfaces. The Casimir invariants acquire then also a moretransparent interpretation.
Correlation Analysis of Stock Returns and Financial Indicators of Starbucks Corporation

As the economy continues to develop, the factors affecting investors and stock prices in the stock market continue to become complex, and the financial indicators in the financial reports of listed companies are also the focus of investors. People are paying more and more attention to the research on the correlation between financial information and stock returns. Based on the financial information of Starbucks, this paper uses a combination of qualitative and quantitative methods to derive the required data from the Foresight Eye database and mainly analyzes the impact of financial indicators on stock returns and their correlation, and finds that there is a negative correlation between profitability, operating capacity and stock returns, and a non-significant correlation between solvency and stock returns. This paper will help investors analyse their investment in stocks and make better investment decisions.
Manufacturing-Induced Cogging Torque in Segmented Stator Permanent-Magnet Machines With Respect to Steel Punching

There are applications like electric-power-assisted steering system in which strict requirements on the cogging torque of the machine should be fulfilled. Numerous techniques and methods are introduced to minimize the inherent cogging torque of the machine, but manufacturing tolerances and imperfections still can cause extra cogging torque. In this article, the impact of punching on the manufacturing-induced cogging torque of segmented permanent-magnet synchronous machines is investigated. The punching model is implemented by modifying the BH curve of the steel as a function of distance from the cut edges. The parameters of the new BH curve are identified by means of standard Epstein frame measurements using steel strips with different widths. Then, the punching model is incorporated into the finite element (FE) model of a 10-pole 12-tooth segmented stator machine designed for power steering application. It is observed that deviation among the magnetic properties of the teeth caused by punching can introduce extra low-order harmonics in the cogging torque of the machine. The amplitude of the new orders can be comparable or even much bigger than the inherent orders, where not only the magnitude of deviation but also the arrangement of teeth with given punching parameters play a role.
Institutioning: Participatory Design, Co-Design and the public realm

Abstract In this introductory article to the special issue ‘Co-Design and the public realm’, we discuss a common interest in how meso- and macro-political institutional contexts frame and are informed by Participatory Design (PD) and Co-Design processes. We argue that a unilateral focus within PD and Co-Design on the micro-political scale of fieldwork obscures interactivity with institutional framing processes, undermining their potential as sites of critique and political change. Our argument is drawn from a study of literature on the role of institutions in relation to PD and the public realm and our experience as participants in an EU-funded research project. The case study descriptions unpack how various institutional frames inform PD processes and how, conversely, PD processes inform various institutional frames: metacultural frames, institutional action frames and policy frames. To highlight the move to engaging with and creating new institutions, we introduce the notion of institutioning.
FCE: Feedback Based Counterfactual Explanations for Explainable AI

Artificial Intelligence can provide quite accurate predictions for critical applications (e.g., healthcare), but lacks the ability to explain its internal mechanism in most applications which require high interaction with humans. Even if many studies analyze machine learning models and their learning behavior and eventually provide an interpretation of the inner mechanics of these models, these studies often entail a simpler surrogate model, which generates explanations by producing a piece of interpretable information such as feature scores. The crucial caveat against these studies is the lack of human involvement in the design and evaluation of explanations, consequently giving rise to trust issues and lack of acceptance and understanding. To this end, we address this limitation by involving humans in the counterfactual explanation generation process which is enriched with user feedback, thus enhancing the automated explanations which are better aligned with user expectations. In this paper, we propose a user feedback based counterfactual explanation approach (FCE) for explainable Artificial Intelligence. In our work, we utilize feedback in two ways: first, to customize the explanations by providing the acceptable ranges in the feature space where to look for feasible counterfactuals, and second, to evaluate the generated explanations.
Optimalisasi Aset Teknologi Dalam Implementasi E-Hrm Untuk Meningkatkan Produktivitas Karyawan

Penelitian ini bertujuan mengkaji peran e-HRM (electronic Human Resources Management) dalam meningkatkan produktivitas karyawan di perguruan tinggi yang dimoderasi oleh aset teknologi. Adaptive structuration theory (AST) digunakan untuk memahami peran e-HRM dalam meningkatkan produktivitas karyawan dan bagaimana aset teknologi mengoptimalisasi fungsi e-HRM yang mana faktor sosial dan karakteristik teknologi berinteraksi untuk memengaruhi hasil kelompok. AST berpendapat bahwa penggunaan teknologi menyediakan struktur sosial untuk melibatkan karyawan dalam interaksi sosial yang memungkinkan dan membatasi tindakan manusia di dalam perusahaan. Penelitian ini merupakan jenis penelitian survei dengan pendekatan kuantitatif menggunakan kuesioner yang dibagikan kepada 33 manajer lini. Hipotesis penelitian diuji dengan regresi linier sederhana dan moderated regression analysis (MRA). Hasil analisis menunjukkan bahwa e-HRM berpengaruh positif dan signifikan terhadap produktivitas karyawan dan aset teknologi memperkuat pengaruh e-HRM terhadap produktivitas karyawan universitas XYZ yang artinya ketika sebuah orgnisasi ingin menerapkan e-HRM, optimalisasi aset teknologi menjadi salah satu faktor penting dalam meningkatkan produktivitas karyawan.Kata Kunci : e-HRM, aset teknologi, produktivitas karyawan
SENSE OF BELONGING BANSER : STUDI ATAS KONSEPSI BELA NEGARA PENDIDIKAN ISLAM DI SATKORYON BANSER PASIRIAN

Adapun hasil penelitian strategi pengembangan budaya mutu untuk mewujudkan sekolah unggul di SMPN 1 Sukodono Lumajang yaitu: 1.Realitas pengembangan budaya mutu: a. Realitas nilai-nilai budaya mutu yang dikembangkan yaitu nilai-nilai kedisiplinan, nilai-nilai komunikasi, nilai-nilai kerjasama, nilai-nilai komitmen kerja, nilai-nilai keterbukaan, nilai-nilai sosial, dan nilai-nilai perjuangan. b. Budaya lingkungan sekolah bersih dan sehat, c. budaya agamis, dan d. budaya prestasi. 2. Strategi yang digunakan oleh kepala sekolah yaitu membentuk a. kebijakan, b. sosialisasi, c. keteladanan, dan d. evaluasi. 3. Adapun dampak terhadap sekolah efektif (unggul). Sense of belonging banser : studi atas konsepsi bela negara maka dapat diambil kesimpulan ada dua jenis pemahaman sikap yaitu sikap Sense of belonging dan sikap bela negara. Sikap Sense of belonging ada karena kesadaran dari individu pada sebuah kelompok. Sikap Sense of belonging maupun sikap bela negara keduanya memiliki sisi persepsi masing-masing, dengan adanya agenda-agenda khusus seperti agenda besar rutinitas setiap tahun, kegiatan-kegiatan rutin setiap bulan, peringatan hari besar islam, dan lain-lain. Ada hubungan antara Sense of belonging dan bela negara, bahwa pemahaman terkait bela negara dibutuhkan Sense of belonging. Sehingga semua anggota dapat langsung merespon pemahaman tersebut, dan kemudian dilanjutkan ke dalam pemahaman tentang bela negara melalui eksistensi banser sendiri yang dibawah naungan Nahdlatul Ulama’, Sehingga ada tindak lanjut dari pemahaman tersebut. Sense of belonging sangat berarti bagi anggota banser, karena kebanyakan dari anggota banser NU memanfaatkan Sense of belonging dalam membela negara sebagai acuan dalam gerakan Banser NU, kedisiplinan, implementasi, keikhlasan dan sebagainya. Dari sinilah maka Sense of belonging anggota banser mulai bertambah, bahkan kini banser NU ini sudah merambah ke kancah luar negeri dengan nama Pengurus Cabang Istimewa Nahdlatul Ulama’ (PCINU). Selain itu penerapan Sense of belonging bukan hanya pada organisasi seperti banser, Melainkan suatu kelompok baik itu komunitas, pertemanan dan perkumpulan pasti ada Sense of belonging di dalamnya.
Speed Control of PMDCM Based GA and DS Techniques

Permanent magnet direct current motors (PMDCM) are widely used in various applications such as space technologies, personal computers, medical, military, robotics, electrical vehicles, etc. In this paper, the mathematical model of PMDCM is designed and simulated using MATLAB software. The PMDCM speed is controlled using rate feedback controller due to its ability of improving system damping. To improve the controller performance, it’s parameters are tuned using genetic algorithm (GA) and direct search (DS) techniques. The tuning process based on different performance criteria. The most four common performance criteria used in this paper are JIAE (Integral of Absolute Error), JISE (Integral of Square Error), JITAE (Integral of Time-Weighted Absolute Error), and JITSE (Integral of Time-Weighted Square Error). The results obtained from these evolutionary techniques are compared. The results show an obvious improvement in system performance including enhancing the transient and steady state of PMDCM speed responses for all performance criteria.