bluuebunny/crossref_metadata_2025 huggingface dataset:
Menurunnya Performa Turbocharger Dalam Menerima Beban Untuk Operasional Pada Kapal MT. SC ALIA XVII
Authors: Budianto Nur Yuwono , Hartaya Hartaya , Susanto Jarot Delta
Published: August 2022

Salah satu permesinan yang sangat vital dalam operasional kapal berlayar maupun bongkar muat yaitu Auxiliary Engine (Diesel engine generator). Fungsi mesin tersebut sebagai penggerak generator untuk menghasilkan listrik bagi kebutuhan di kapal. Diesel engine generator sebagai auxiliary engine yang memiliki komponen penting antara lain : pompa bahan bakar, turbocharger, air starting motor, intercooler, dan lain sebagainya. Salah satu komponen dari diesel engine generator adalah turbocharger. Fungsi turbocharger adalah sebagai alat pemasok udara bilas tambahan pada ruang bakar. Permasalahan yang terjadi di kapal MT. SC ALIA XVII, di antaranya adalah pada   diesel engine generator terutama pada turbocharger. Pada turbocharger sering terjadinya surging saat menerima beban tinggi pada generator dan bersuara sangat  nyaring pada saat turbocharger berkerja. Karena mengingat peranan turbocharger pada mesin  diesel generator di atas kapal yang sangat penting, guna kelancaran dalam pengoperasian  sebuah kapal. Maka hal ini yang mendasari penulis untuk melakukan penelitian ini, bagaimana strategi untuk mengatasi permasalahan pada mesin diesel generator terutama pada bagian komponen turbocharger-nya yang ada di kapal MT. SC ALIA XVII. Manfaat dari penelitian ini kiranya menjadi sumbangan pemikiran bagi rekan-rekan ahli mesin kapal jika mengalami kendala permasalahan yang serupa. Penulis di  sini menggunakan metode pendekatan deskripsi kualitatif untuk menganalisis permasalahan yang ada.
Root Cause Analysis for Autonomous Optical Network Security Management
Authors: Natalino Carlos , Schiano Marco , Di Giglio Andrea , Furdek Marija
Published: August 2022

The ongoing evolution of optical networks towards autonomous systems supporting high-performance services beyond 5G requires advanced functionalities for automated security management. To cope with evolving threat landscape, security diagnostic approaches should be able to detect and identify the nature not only of existing attack techniques, but also those hitherto unknown or insufficiently represented. Machine Learning (ML)-based algorithms perform well when identifying known attack types, but cannot guarantee precise identification of unknown attacks. This makes Root Cause Analysis (RCA) crucial for enabling timely attack response when human intervention is unavoidable. We address these challenges by establishing an ML-based framework for security assessment and analyzing RCA alternatives for physical-layer attacks. We first scrutinize different Network Management System (NMS) architectures and the corresponding security assessment capabilities. We then investigate the applicability of supervised and unsupervised learning (SL and UL) approaches for RCA and propose a novel UL-based RCA algorithm called Distance-Based Root Cause Analysis (DB-RCA). The framework’s applicability and performance for autonomous optical network security management is validated on an experimental physical-layer security dataset, assessing the benefits and drawbacks of the SL- and UL-based RCA. Besides confirming that SL-based approaches can provide precise RCA output for known attack types upon training, we show that the proposed UL-based RCA approach offers meaningful insight into the anomalies caused by novel attack types, thus supporting the human security officers in advancing the physical-layer security diagnostics. 
Deep Learning-based Image 3D Object Detection for Autonomous Driving: Review
Authors: Alaba Simegnew , Ball John
Published: August 2022

An accurate and robust perception system is key to understanding the driving environment of autonomous driving and robots. Autonomous driving needs 3D information about objects, including the object’s location and pose, to understand the driving environment clearly. A camera sensor is widely used in autonomous driving because of its richness in color, texture, and low price. The major problem with the camera is the lack of 3D information, which is necessary to understand the 3D driving environment. Additionally, the object’s scale change and cclusion make 3D object detection more challenging. Many deep learning-based methods, such as depth estimation, have been developed to solve the lack of 3D information. This survey presents the image 3D object detection 3D bounding box encoding techniques, feature extraction techniques, and evaluation metrics of 3D object detection. The image-based methods are categorized based on the technique used to estimate an image’s depth information, and insights are added to each method. Then, state-of-the-art (SOTA) monocular and stereo camera-based methods are summarized. We also compare the performance of the selected 3D object detection models and present challenges and future directions in 3D object detection.
A Comprehensive Survey of Deep Learning Multisensor Fusion-based 3D Object Detection for Autonomous Driving: Methods, Challenges, Open Issues, and Future Directions
Authors: Alaba Simegnew , Gurbuz Ali , Ball John
Published: August 2022

Autonomous driving requires accurate, robust, and fast decision-making perception systems to understand the driving environment. Object detection is critical in allowing the perception system to understand the environment. The perception systems, especially 2D object detection and classification, have succeeded because of the emergence of deep learning (DL) in computer vision (CV) applications. However, 2D object detection lacks depth information, which is crucial to understanding the driving environment. Therefore, 3D object detection is fundamental for the perception system of autonomous driving and robotics applications to estimate the objects’ location and understand the driving environment. The CV community has been giving much attention recently to 3D object detection because of the growth of DL models and the need to know accurate locations of objects. However, 3D object detection is still challenging because of scale changes, the lack of 3D sensor information, and occlusions. Researchers have been using multiple sensors to solve these problems and further enhance the performance of the perception system. This survey presents the multisensor (camera, radar, and LiDAR) fusion-based 3D object detection methods. The fully autonomous vehicles need to be equipped with multiple sensors for robust and reliable driving. Camera, LiDAR, and radar sensors and their corresponding advantages and disadvantages are also presented. Then, relevant datasets are summarized, and state-of-the-art multisensor fusion-based methods are reviewed. Finally, challenges, open issues, and possible research directions are presented.
Intent Negotiation Framework for Intent-driven Service Management
Authors: Sharma Yogesh , Bhamare Deval , Kassler Andreas , Taheri Javid
Published: August 2022

To automate network operations and deployment of compute services, intent-driven service management (IDSM) is essential. It enables network users to express their service requirements in a declarative manner as intents. To fulfill the intents, closed control-loop operations carry out required configurations and deployments without human intervention. Despite the fact that intents are fulfilled automatically, conflicts may arise between user’s and service provider’s intents due to limited resources availability. This triggers IDSM system to initialize an intent negotiation process among conflicting actors. Intent negotiation involves generating one or more alternate intents based on the current state of the underlying physical/virtual resources, which are then presented to the intent creator for acceptance or rejection. In this way, the quality of services (QoS) can be improved significantly by maximizing the acceptance rate of service requests in the scenario of limited resources. However, intent negotiation systems are still in their infancy. The available solutions are platform dependent which poses various challenges in their adoption to diverse platforms. The main focus of this work is to draft and evaluate a comprehensive and generic intent negotiation framework which can be used to develop intent ne- gotiation solutions for diverse IDSM platforms. In this work, we have identified and defined various processes that are necessary for intent negotiation. Furthermore, a generic intent negotiation framework is presented representing interactions among the identified processes, while conflicting actors engage in the intent negotiation. The results demonstrated that the proposed intent negotiation framework increases the intent acceptance rate by up to 38% with processing overheads less than 10%. 
Intent Negotiation Framework for Intent-driven Service Management
Authors: Sharma Yogesh , Bhamare Deval , Kassler Andreas , Taheri Javid
Published: August 2022

To automate network operations and compute ser- vices, intent-driven service management (IDSM) is essential. It enables network users to express their service requirements in a declarative manner as intents. To fulfill the intents, closed control-loop operations perform required configurations and deployments without human intervention. Despite the fact that the intents are fulfilled automatically, conflicts may arise between users and service providers due to limited capabilities of service providers and user requirements specified as intents. This triggers IDSM system to initialize an intent negotiation process among conflicting actors. Intent negotiation involves generating one or more alternate intents based on the current state of the underlying physical/virtual resources, which are then presented to the intent creator for acceptance or rejection. In this way, the quality of services (QoS) can be improved significantly by maximizing the acceptance rate of service requests in the scenario of limited resources. However, intent negotiation sub-systems are still in their infancy. The available solutions are platform dependent which pose various challenges in their adoption to diverse platforms. The main focus of this work has been to draft a comprehensive and generic intent negotiation framework which can be used across diverse IDSM platforms. In this work, we have identified and defined various processes that are necessary for a comprehensive intent negotiation framework. A generic intent negotiation framework is then presented incorporating all the interactions among all the identified processes while conflicting actors engage in the intent negotiation, towards the fulfilment of the given service. 
An Efficient Searchable Encryption Framework with Weighted Keywords for the Internet of Medical Things (IoMT)
Authors: Wang Haiyan
Published: August 2022

 With the increasing popularity of smart terminals, the Internet of Things (IoT) vastly expands the influence of information technology and creates great values to our society. The Internet of Medical Things (IoMT) is a typical application of the IoT specifically for medical and healthcare related purposes. In IoMT, personal health records (PHRs) generated by intelligent equipment are usually stored in a cloud sever managed by a semi-trusted cloud provider. However, there is still a possibility of the exposure of private information to unauthorized parties. In order to protect a patient’s private information, and ensure that doctors can search a patient’s PHRs without decrypting all ciphertexts, an efficient searchable encryption framework with weighted keywords is proposed in this paper. In this framework, we implement a weighted keyword model to raise the accuracy of search results, and reduce the computational and storage overhead. Besides, compared with the existing schemes, the framework is supportable of multi-search mechanism, which is adaptable to more application scenarios. Finally, the efficiency and security of this framework is proved through security and performance analysis in this paper. 
Omnidirectional Video Super-Resolution using Deep Learning
Authors: Agrahari Baniya Arbind , Lee Glory , Eklund Peter , Aryal Sunil
Published: August 2022

Omnidirectional Videos (or 360° videos) are widely used in Virtual Reality (VR) to facilitate immersive and interactive viewing experiences. However, the limited spatial resolution in 360° videos does not allow for each degree of view to be represented with adequate pixels, limiting the visual quality offered in the immersive experience. Deep learning Video Super-Resolution (VSR) techniques used for conventional videos could provide a promising software-based solution; however, these techniques do not tackle the distortion present in equirectangular projections of 360° video signals. An additional obstacle is the limited 360° video datasets to study. To address these issues, this paper creates a novel 360° Video Dataset (360VDS) with a study of the extensibility of conventional VSR models to 360° videos. This paper further proposes a novel deep learning model for 360° Video Super-Resolution (360° VSR), called Spherical Signal Super-resolution with a Proportioned Optimisation (S3PO). S3PO adopts recurrent modelling with an attention mechanism, unbound from conventional VSR techniques like alignment. With a purpose-built feature extractor and a novel loss function addressing spherical distortion, S3PO outperforms most state-of-the-art conventional VSR models and 360° specific super-resolution models on 360° video datasets. A step-wise ablation study is presented to understand and demonstrate the impact of the chosen architectural subcomponents, targeted training and optimisation.
A Gray-Box System Identification Approach for Online Inertia Estimation Applications
Authors: Gotti Davide , Ledesma Pablo , Amaris Hortensia
Published: August 2022

This paper proposes a method to estimate the inertia constant of synchronous generators (SGs) and the virtual inertia provided by converter-interfaced generators (CIGs). The algorithm is based on a gray-box system identification approach and uses the active power and bus frequency measurements proceeding from phasor measurement units. The measurements are preprocessed to improve the estimation accuracy. Subsequently, a model-independent rotor speed estimator is used to compute rotor speed variations (or internal frequency variations, in the case of CIGs). Afterward, a recursive least-square equation error formulation is implemented to compute the SG and CIG parameters in the z-domain, which are later converted into their respective counterparts in the s-domain. The method is applied to several generation devices in the IEEE 39-bus test system, including traditional SGs and CIGs providing virtual inertia. Numerical results show the accuracy and the low computational burden of the proposed method.
Cyberology: Cyber-Physical-Social-Thinking Spaces based Discipline and Inter-discipline Hierarchy for Metaverse (General Cyberspace)
Authors: ning huansheng , Lin Yujia , wang wenxi , Wang Hang , Shi Feifei , Daneshmand Mahmoud
Published: August 2022

It is well known that the metaverse, also named general cyberspace, is virtual-real fusion spaces, consisting of a virtual space namely cyberspace and virtual-real spaces namely cyber-enabled physical, social, and thinking (cyber-enabled) spaces. This paper discusses the open issues of the metaverse in terms of science and technology and proposes a new discipline and inter-discipline hierarchy for the metaverse first. Then, it ex?plores various relevant standards of discipline classification and a discipline and inter-discipline hierarchy based on physical, social and thinking spaces, and investigates the cyberspace and cyber?enabled spaces. On the basis of the above research, this paper proposes the detailed metaverse discipline and inter-discipline hierarchy based on cyber-physical-social-thinking spaces and enriches the content of cyberology from the aspects of cyberspace and cyber-enabled spaces. Finally, this paper predicts the future development of cyberology in terms of society, enterprise and humankind. 
Living Earth – A Methodology For Modeling The Environment Of Construction Sites Via Digital Twins
Authors: Bliznyuk Artem
Published: August 2022

The architecture, engineering and construction (AEC) industry appears hesitant to embrace new digital innovations. One of the few recent successful examples is the introduction of the building information modeling (BIM) paradigm. However, the focus here lies mainly on the building itself and does not support the construction environment. This paper presents a methodology for the development and application of Digital Twins representing and supporting the working environment of a construction site. By combining available geodata with real-time sensor data from mobile construction machines, it is possible to create always-up-to-date Digital Twins of the relevant objects and processes in the field in order to facilitate supervision, additional planning steps, management, control and security activities. The proposed concept is currently being tested on a local test site to generate, update and adapt the Digital Twins as well as to incorporate additional semantic information about e.g. the soil and various working processes. 
Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks
Authors: Catak Ferhat Ozgur , kuzlu murat , catak evren , Cali Umit , Guler Ozgur
Published: August 2022

Future wireless networks \textcolor{black}{(5G and beyond),} also known as Next Generation or NextG, are the vision of forthcoming cellular systems, connecting billions of devices and people together. In the last decades, cellular networks have been dramatically growth with advanced telecommunication technologies for high-speed data transmission, high cell capacity, and low latency. The main goal of those technologies is to support a wide range of new applications, such as virtual reality, metaverse, telehealth, online education, autonomous and flying vehicles, smart cities, smart grids, advanced manufacturing, and many more. The key motivation of NextG networks is to meet the high demand for those applications by improving and optimizing network functions. Artificial Intelligence (AI) has a high potential to achieve these requirements by being integrated in applications throughout all layers of the network. However, the security concerns on network functions of NextG using AI-based models, i.e., model poising, have not been investigated deeply. It is crucial to protect the next-generation cellular networks against cyber attacks, especially adversarial attacks. Therefore, it needs to design efficient mitigation techniques and secure solutions for NextG networks using AI-based methods. This paper proposes a comprehensive vulnerability analysis of  deep learning (DL)-based channel estimation models trained with the dataset obtained from MATLAB's 5G toolbox for adversarial attacks and defensive distillation-based mitigation methods. The adversarial attacks produce faulty results by manipulating trained DL-based models for channel estimation in NextG networks, while making models more robust against any attacks through mitigation methods. This paper also presents the performance of the proposed defensive distillation mitigation method for each adversarial attack against the channel estimation model. The results indicated that the proposed mitigation method can defend the DL-based channel estimation models against adversarial attacks in NextG networks.
Equipotential Roche Lobe
Authors: Bhattacharjee Deep
Published: August 2022

There are more than a billion galaxies in our observable universe and every astrophysical phenomena concerning to the galaxies, to stars to planets can be easily approximated by Newtonian mechanics’, post-Newtonian kinematics and general relativity. However, the field equations of general relativity (GR) include a cosmological constant term, lambda, to interpret the negative pressures existing in our universe that accelerates expansion. However, this expansion can be overwhelmed by the inward movements of the galaxies and during the final fate when two galaxies collide, likewise, if ‘Milky-Way and Andromeda’ collides, the super massive black holes existing at the center of every galaxies, ranging from a million to a billion to even more than the typical solar mass, collides, and they got captured in a gravity generated quasi-equipotential topology where there exists five Lagrange points along with a specified limit of the capturing black holes where if one black hole becomes beyond the Roche lobe then, mass inflow rate starts and the mass would start to flow from the large black holes to small black holes and this creates a gravitational merger where the rotational angular momentum gets con- served to relativistic jets and an accretion disc is produced. This merger results in the whistling of a large proportional of sinusoidal gravitational waves which ripples thought the space-time dimensions and gets detected in ‘interferometer gravity detectors’ like LIGO. The final fate is the Larger SMBH which exists at the heart of the newly formed galaxies. Detailed astrophysical analysis has been done in this paper and related theory has been provided to cope with the recent findings and observations taking place resulting the super massive black holes in galactic collisions. 
Artificial Vocal Learning guided by Phoneme Recognition and Visual Information
Authors: Krug Paul , Birkholz Peter , Gerazov Branislav , Niekerk Daniel Rudolph van , Xu Anqi , Xu Yi
Published: August 2022

This paper introduces a paradigm shift regarding vocal learning simulations, in which the communicative function of speech acquisition determines the learning process and intelligibility is considered the main measure of learning success. Thereby, a novel approach for artificial early vocal learning is presented that utilizes deep neural network-based phoneme recognition in order to calculate the speech acquisition objective function. This function guides a learning framework that involves the state-of-the-art articulatory speech synthesizer VocalTractLab as the motor-to-acoustic forward model. It is shown that in this way an extensive set of German phonemes consisting of most German consonants and all stressed vowels can be produced successfully. The synthetic phonemes were rated as highly intelligible by human listeners in a listening experiment. Furthermore, it is shown that visual speech information, such as lip and jaw movements can be extracted from video recordings and be incorporated into the learning framework as an additional loss component during the optimization process. It was observed that this visual loss did not increase the overall intelligibility of phonemes. Instead, the visual loss acted as a regularization mechanism that facilitated the finding of more biologically plausible solutions in the articulatory domain.
Pattern of Infection among Children with Nephrotic Syndrome in a Tertiary Level Hospital
Authors: Rahman Md. Anisur , Afroza Syeda , Kabir A.R.M. Lutful , Banu Nazneen Akhter , Mahamuduzzaman Abu Shoyeb Md. , Ahmed Salim , Ahmed Sabeena , Habib Rahat Bin
Published: August 2022

Background: Patients with nephrotic syndrome are susceptible to numerous bacterial, viral, and fungal infections. To design preventive measures, it is vital to identify the various types of infections, their causative organisms, and sensitivity patterns in the local settings. Methods: From January 2012 to July 2014, this descriptive cross-sectional study was conducted in the Pediatric department of Sir Salimullah Medical College, Mitford Hospital, Dhaka. Children younger than 12 years admitted with nephrotic syndrome were screened for infection. Laboratory analysis with culture and sensitivity of urine, blood, CSF, and peritoneal fluids was performed to identify and analyze the causative organisms. Results: The most prevalent age range for the 90 admitted children with nephrotic syndrome was 2-5 years, and the male to female ratio was 0.95:1. 73% of the children had their initial attack of nephrotic syndrome, while 27% had recurrence. During admission, 38% of patients had various infections, and 57% of these infections occurred in children aged 2 to 5 years. Urinary tract infection (UTI), peritonitis, septicemia, and pneumonia were the most prevalent illnesses (incidence, 46%, 26%, 11%, and 9%, respectively). Escherichia coli, Proteus sp., and Streptococcus sp., commonly caused urinary tract infections, peritonitis, septicemia, and pneumonia. Organisms for UTI, peritonitis and pneumonia were sensitive to ciprofloxacin, azithromycin, and ceftriaxone, respectively. Conclusion: Infection should be ruled out carefully in every case of nephrotic syndrome during management in the hospital. Escherichia coli is the dominant causative agent for UTI. After sending relevant body fluids for culture sensitivity, ciprofloxacin for a suspected UTI, and azithromycin for peritonitis can be started immediately.
Randomized Comparative Study of Neoadjuvant Chemotherapy in Locally Advanced and Metastatic Breast Cancer, ‘FACVP’ Vs ‘ACT’ Protocol
Authors: Islam Dr. Md. Rafiqul , Ulubbee Dr. Md. Hanif , Begum Dr. Hosne Ara , Billah Dr. Sharmin , Rahman Dr. Mosfika , Kabir Dr. Md. Shahriar , Sultana Dr. Sharmin , Azim Dr. Nazma
Published: August 2022

Background: Breast cancer is one of the most frequently diagnosed cancer of Bangladeshi women and presents comparatively at late stage of their diseases. Neoadjuvant chemotherapy has been recommended as the primary treatment of choice in locally advanced and metastatic breast cancers. Objective: To assess the clinical response, comparison of responses, toxic effects of two schedules of neo-adjuvant chemotherapy randomly applied in patients with locally advanced and metastatic breast cancer. Material & Methods: This randomized control trial study was carried out in the Department of Medical Oncology, National Institute of Cancer Research & Hospital, Dhaka, Bangladesh from July 2009 to June 2010. The study cases were locally advanced and metastatic breast cancer. Most of the cases were histological proved infiltrating duct cell carcinomas of both sexes and age was between 20-60 years. The study was comprised of two arms; ACT arm; -combination of three drugs such as Adriamycine, Cyclophoshphamide, Paclitaxel and FACVP arm; - combination of five drugs such as 5- Fluorouracil, Adriamycine, Cyclophosphamide, Vincristine, Prednisolone. A total of 70 patients were enrolled in this study of which 35 patients were included in the ACT arm and the rest 35 patients in FACVP arm. Total six cycles of chemotherapy were given in each patient at 21 days’ interval. After two cycles, each patient was evaluated clinically to measure clinical response. All the data were compiled and analyzed by SPSS version 12.0. Results: All the cases were locally advanced and have metastatic disease and almost all were (97%) with axillary lymph node involvement. Left and right breast involvement was (54.3%) and (46.7%) in FACVP arms respectively. Left and right breast involvement was (51.4%) and (48.6%) in ACT arm respectively. Two patients were with both breast involvements in ACT arm. Characteristics of the patients such as body build, age, stage, performance status, social status were more .........
Penrapan Metode TOPSIS dalam Pentuan Prioritas Suplier Bahan Baku Pada Perusahaan Manufaktur Obat
Authors: Warmansyah Julio , Ramadhan Yoga Syahrul
Published: August 2022

Determination of suppliers in the process of filling raw materials in the warehouse is very important for a company. Various types of companies will depend on the supply of raw materials such as production companies. A decision support system is needed to help make decisions in determining raw materials that have various criteria. Evaluation of suppliers is very important to get the right supply of raw materials. Things to consider in determining raw materials are the quality of the raw materials supplied to the company, competitive prices with other competitors, so that it is expected to produce products that have affordable cost of production, delivery in the fulfillment of raw materials continuously to support production, services provided by suppliers in the process of supplying raw materials to the company, offers of raw materials provided by suppliers in filling raw material needs.
STRATEGI POLRES SUMBAWA DALAM MENANGANI BERITA BOHONG (HOAX) DI MEDIA SOSIAL
Authors: Arifuddin Arifuddin , Apriadi Apriadi , Hidayat Ofi
Published: August 2022

Pada era perkembangan teknologi dan informasi saat ini membuat masyarakat memanfaatkan teknologi yang ada seperti media sosial berupa facebook, instagram, twitter, dan aplikasi sejenisnya untuk berbagi informasi dengan cepat kepada keluarga, kerabat, maupun teman jauh. Serta memiliki banyak manfaat positif, diantaranya memudahkan pemerintah dalam menyalurkan informasi kepada masyarakat, penyelesaian pengaduan atau laporan pelayanan publik. Kelebihan yang dimiliki teknologi berupa media sosial dimanfaatkan oleh orang yang tidak bertanggungjawab dalam menyebarkan informasi yang tidak benar atau biasa disebut berita hoax. Untuk itu, pemerintah tidak tinggal diam dengan banyaknya peredaran berita hoax yang meresahkan masyarakat serta memberikan dampak kerugian untuk orang yang mempercayainya. Penelitian ini menggunakan penelitian studi kasus dengan pendekatan kualitatif. Hasil penelitian ini, peneliti mendapatkan beberapa temuan diantaranya yaitu strategi pemerintah Sumbawa dalam hal ini polres Sumbawa melalui Unit Tipiter bergerak dalam menuntaskan permasalahan tersebut dengan membentuk strategi berupa bekerjasama dengan tim Humas, Satgas Nusantara dan Cyber Crime dalam membantu patroli dunia maya seperti media sosial, website dan youtube, melakukan upaya Penyelidikan dan Penyidikan, Sosialisasi dan Edukasi.

Kata Kunci: Strategi; Polres Sumbawa; Berita Bohong; Media Sosial.
PERSAMAAN HAK ASASI MANUSIA DAN RASISME PADA KELOMPOK MINORITAS (ANALISIS FRAMING DALAM FILM THE GREATEST SHOWMAN)
Authors: Dwi Zulhifitri  , Ofi Hidayat
Published: August 2022

Film the Greatest Showman merupakan film bergenre drama musikal. Film tersebut terinspirasi dari kisah nyata atau disebut sebagai film biografi. Dimana pada abad ke-17 hingga abad ke-19, yang juga menjadi latar waktu kejadian dalam film. Pada masa itu dipercaya menjadi awal mula atau cikal bakal terciptanya sikap bahkan aksi diskriminasi serta rasisme yang hingga kini masih kita rasakan. Walaupun tidak seburuk pada saat perang dunia ke-II, dengan tokoh utama dalam film tersebut bernama Phineas Taylor Barnum sebagai salah satu pengusaha yang menciptakan sirkus pertama dengan manusia sebagai pemeran sirkusnya. Film yang rilis pada tanggal 20 Desember 2017 di Amerika Serikat tersebut berhasil meraih banyak penghargaan, dalam ajang Globe Awards ke-75, untuk kategori Best Motion Picture - Musical or Comedy dan Aktor Terbaik – Musikal atau Komedi untuk Jackman. Kemudian untuk lagu “This is Me”, berhasil memenangkan kategori Golden Globe Award for Best Original Song dan dinominasikan untuk Lagu Orsinal Terbaik di Academy Awards ke-90, serta menjadi salah satu film terlaris kelima sepanjang massa. Dalam penelitian ini, peneliti mengkaji mengenai bagaiamana framing yang dilakukan sutradara terhadap aksi diskriminasi dan rasisme dalam anggota sirkus yang memiliki postur, berat, dan warna kulit yang berbeda dari orang-orang normal lainnya.

Kata Kunci: Film Biografi, Analisis Framing, Diskriminasi dan Rasisme, Hak Asasi Manusia.
Obrazy jako zasób polskich ruchów pro-life
Authors: Zimniak-Hałajko Marta
Published: August 2022

Tekst poświęcony jest obrazom wykorzystywanym współcześnie przez polskie ruchy pro-life (antyaborcyjne) oraz ich odczytaniom przez rozmaitych aktorów społecznych. Przedmiotem analizy są przede wszystkim sposoby i ramy obrazowania, narracje wizualne i ich związek ze społecznymi praktykami. Wizualia antyaborcyjne podzielone zostały na „twarde” obrazy aborcji oraz „miękkie” obrazy rozwoju prenatalnego i powiązane z różnymi rodzajami instytucji i działań społecznych. Autorka proponuje refleksję na temat mocy poszczególnych typów obrazów, rozumianej jako miara siły oddziaływania na porządek poznawczy oraz porządek społecznych praktyk.
Wizualność praw reprodukcyjnych w polskich zinach feministycznych po 1989 roku
Authors: Dynda Barbara
Published: August 2022

Artykuł poświęcony jest wizualności aktywizmu na rzecz praw reprodukcyjnych w polskich zinach feministycznych i anarchofeministycznych z końca lat 90. i lat 2000. Analizując niezależne publikacje kobiece odnalezione w anarchistycznych centrach kulturalnych i w prywatnych zbiorach twórczyń, w tekście autorka przygląda się początkom wytwarzania i dystrybuowania w Polsce proaborcyjnych zinów. W ramach rozmów przeprowadzonych z anarchofeministycznymi autorkami wydawnictw z tego okresu, skupia się na widoczności symboliki dotyczącej praw reprodukcyjnych (motywy czarownicy, macicy i krzyża) i na wizualnych strategiach oporu obecnych w zinach (karykatury władzy solidarnościowo-katolickiej). Celem artykułu jest również przyjrzenie się przemianom i kontynuacjom anarchofeministycznych tradycji wizualnych po 1989 roku w kontekście walki o opiekę socjalną nad zdrowiem reprodukcyjnym kobiet.
Filmowe siły natury. Odzyskiwanie reprodukcji jako doświadczenia kobiecego
Authors: Stańczyk Marta
Published: August 2022

Reprodukcja od zawsze fascynowała twórców filmowych w swojej niedostępnej transgresyjności, a jednocześnie budziła lęk. Od trikowego Artistic Creation (1901) Waltera Bootha po obrazy awangardowe w stylu Window Water Baby Moving (1959) Stana Brakhage’a przez dekady ta narracja była ujarzmiana, a przez to symbolicznie zabierana kobietom. Celem tego artykułu jest przyjrzenie się wątkom reprodukcyjnym w historii filmu, przede wszystkim wczesnego kina i amerykańskiego kina klasycznego, a następnie skontrastowanie ich z filmem Opera Muffo (1958) Agnés Vardy i umiejscowienie go w kontekście współczesnych teorii korporalnych.
Awangardowe muzeum
Authors: Strożek Przemysław
Published: August 2022

Recenzja książki „Awangardowe Muzeum” autorstwa Agnieszki Pindery i Jarosława Suchana (Muzeum Sztuki w Łodzi, Łódź 2020).
Posthuman Genetic Legacies: Rethinking (Im)mortality and the Limits of Reproduction Through Hybrid Bioart Practice
Authors: Kratz Svenja
Published: August 2022

The article presents Posthuman Genetic Legacies a practice-based research project that investigates avenues of producing an alternative non-human and ongoing genetic legacy via biotechnological intervention. The project aims to establish cell lines (immortalised cells) from benign tumour (fibroid) tissue removed from the artist’s uterus following abdominal surgery in 2020. Rather than simply advocating for the uptake of biotechnological reproduction, the project aims to use this provocation to interrogate gender expectations and the desire for immortality via genetic continuance. It invites consideration on how a posthuman Xenofeminist positioning that disrupts biological norms and embraces the emancipatory and world-building potential of new technologies may offer an empowered conceptual space for rethinking the anguish of situational childlessness.
Ścieżki reprodukcji
Authors: Szewczyk Matylda , Zimniak-Hałajko Marta
Published: August 2022

Wprowadzenie do numeru poświęconego wizualności i polityce reprodukcji, ze szczególnym uwzględnieniem refleksji nad różnymi definicjami życia, zastosowaniami technologii i problemami tożsamości (indywidualnej, społecznej, seksualnej), a także ramami zaangażowania i opieki rodzicielskiej. Słowa kluczowe: reprodukcja; technologia; wizualność; troska; odpowiedzialność; ciało
Obecność. O obrazach Kafki
Authors: Gromala Monika
Published: August 2022

Autorka analizuje sposoby funkcjonowania obrazów-portretów w twórczości Franza Kafki, traktując je jako widmowe figury uobecnionego „prawa”. Przyglądając się powieściom oraz krótszym prozom austriackiego pisarza, zwraca uwagę na pozycje władzy, systematykę postaw kontrolnych, a także na skłonność samych obrazów do przekształceń i metamorfoz.
Posthumanistyczna reprodukcja troski
Authors: Jelewska Agnieszka , Żyniewicz Karolina
Published: August 2022

Rozmowa między badaczką Agnieszką Jelewską i artystką Karoliną Żyniewicz wokół zagadnienia troski w jej liminalnej praktyce produkcji wiedzy.
Tinnitus pulsátil asociado con shunt arteriovenosos de origen dural: reporte de caso
Authors: Becerra Cuervo William Andres , Rincón Mendoza Diana Sofia , Caraballo Arias Jose Agustin
Published: August 2022

El tinnitus es una entidad común y al ser de características pulsátiles es importante identificar su etiología dado los riesgos y morbilidad que conlleva, como tumores de origen vascular o malformaciones arteriovenosas. Objetivo: se describe el caso de una paciente con tinnitus pulsátil asociado con un shunt arteriovenoso de origen dural que recibió tratamiento endovascular. Resultados: mostrar el seguimiento clínico y endovascular de una paciente con tinnitus pulsátil con malformación arteriovenosa y resolución de síntomas a los 18 meses de seguimiento. Discusión: la importancia de estudiar los pacientes con tinnitus pulsátil radica en determinar posibles causas de origen vascular que expliquen sus síntomas, las cuales, en su mayoría, no son evidentes en la valoración inicial. Conclusión: realizar un diagnóstico adecuado permite optimizar el tratamiento de cada paciente; en el tinnitus pulsátil asociado con shunts arteriovenosos la embolización selectiva suele ser exitosa y segura, y logra resolver por completo los síntomas.
Mediastinitis descendente en el contexto de la angina de Ludwig. Artículo de revisión
Authors: Fuentes F. Andrés Leonardo , Romero M. Luis Felipe , Olivera Arenas María Paula , Cortés Luna Jorge Alberto , Ulloque A. Héctor Andrés
Published: August 2022

La mediastinitis se define como el proceso inflamatorio usualmente infeccioso del tejido conectivo mediastinal y los órganos que éste rodea. Específicamente, la mediastinitis descendente corresponde a una complicación rara, de una infección de espacios profundos del cuello, orofaringe o cavidad oral, que se extiende a través de los espacios fasciales del cuello, disecándolos. Menos frecuentemente, esta patología puede originarse a partir de parotiditis, infecciones de la piel del cuello o epiglotitis. También de manera aún menos frecuente, puede generarse en el contexto de un traumatismo del cuello o la cavidad oral.

Esta patología de marcada severidad, conlleva un aumento significativo de la mortalidad y su tratamiento, aunque permanece controversial en ciertas circunstancias, debe ser agresivo y oportuno. A propósito de un caso manejado en nuestro servicio, hacemos una revisión del estado del arte en esta entidad. Los autores pretendemos llamar la atención en particular, sobre los aspectos que involucran al especialista Otorrinolaringólogo en el manejo de pacientes con infecciones profundas del cuello
Desarrollo de una app móvil para la evaluación preoperatoria de la tomografía de senos paranasales: un paso hacia la inteligencia artificial
Authors: Ospina Javier , Forigua Díaz Cristhian , Hernández Celis Andrés , Ayobi Mendoza Nicolás , Correa García Tomás , Peñaranda Augusto , Janjua Arif
Published: August 2022

Introducción: la revolución tecnológica que hemos vivido en los últimos años ha generado un extendido uso de la inteligencia artificial (IA) como tecnología de base para el desarrollo de diversos sistemas y soluciones en medicina. En el campo de la otorrinolaringología, estamos viendo hasta ahora los primeros esfuerzos para aprovechar este surgimiento. Objetivo: el presente proyecto busca describir el proceso de desarrollo de una app móvil creada gracias al trabajo colaborativo entre otorrinolaringólogos e ingenieros biomédicos, que tiene la intención de optimizar la evaluación preoperatoria de la tomografía de senos paranasales (TC de SPN). Métodos: el desarrollo de la app siguió el método de priorización para especificaciones de MoSCoW. Utilizamos la información recolectada de encuestas realizadas a 29 expertos en rinología de diferentes partes del mundo, quienes evaluaron variantes anatómicas en la tomografía, y se utilizaron dos modelos de regresión para la predicción de dificultad y riesgo a partir de herramientas de aprendizaje estadístico. Conclusión: hemos desarrollado una herramienta y un modelo estadístico que es fácil de utilizar y que idealmente ayudará al cirujano en el proceso de evaluación preoperatoria de TC de SPN. Este es un ejercicio que permite demostrar la eficacia de un desarrollo colaborativo para lograr soluciones en nuestra especialidad y un acercamiento hacia la IA.
PENGEMBANGAN PRODUK KELAPA SAWIT MERAH SEBAGAI SUMBER PANGAN FUNGSIONAL DAN NUTRASETIKAL
Authors: Tarigan Indra Lasmana , Nelson  , Nuralang  , Ananda Hertanti Dwi
Published: August 2022

The utilization of palm oil products in Indonesia is still limited to the production of crude palm oil (CPO) and food products, while palm oil derivative products such as red palm oil (RPO) have not been a concern. RPO consists of palmitate, -tocopherol, oleic, -tocotrienols, linoleate, carotene, -tocotrienol, and -tocotrienol compounds, these compounds act like vitamins and antioxidants. The aim of this article is to examine the potential for developing red palm oil-based products as functional and nutraceutical food products. This article is a review related to palm oil and its derivatives starting from its potential, content of chemical compounds, potential as food and nutraceutical, as well as several processing technologies. We access these articles from various primary sources, especially from journal websites. RPO is a derivative product of CPO processing. RPO has a good nutritional value such as carotene, tocopherol, ticopherol, and tocotrienols. RPO development technology is carried out by adding probiotics and encapsulation technology as functional and nutraceutical food.
Examining Changes in Sport Event Volunteers' Motivation, Satisfaction, Commitment, Sense of Community: Evidence from a Preevent–Postevent Design
Authors: Lachance Erik L. , Thompson Ashley , Bakhsh Jordan T. , Parent Milena M.
Published: August 2022

The purpose of this study was to examine changes in sport event volunteers' motivation, satisfaction, commitment, and sense of community from preevent to postevent. Data were collected using preevent and postevent online self-administered questionnaires sent to 256 volunteers at the
2019 Osprey Valley Open: a professional golf tournament. One hundred sixty-one volunteers (65% response rate) completed both questionnaires. Data were analyzed using paired sample t tests. All constructs demonstrated positive changes from preevent to postevent. Sense of community had
the most significant positive change, followed by satisfaction, and then commitment. Motivation did not have a statistically significant change. Results show researchers should move beyond crosssectional research designs to better understand differences in these constructs across event modes.
Practitioners should tailor their strategies toward volunteers' satisfaction, commitment, and sense of community to enhance their experiences at different time points throughout their involvement with a sport event.
HUBUNGAN PERKEMBANGAN TEKNOLOGI INFORMASI DALAM BIMBINGAN DAN KONSELING
Authors: Tjahyanti Ni Luh Putu Ary Sri
Published: August 2022

Perkembangan teknologi informasi berimplikasi pada bidang bimbingan dan konseling. Bimbingan dan Konseling, yang merupakan bagian dari dunia persekolahan haruslah juga mampu memanfaatkan teknologi informasi untuk menyelesaikan tugas-tugas layanan bimbingan. Banyak perangkat lunak yang telah dirilis untuk itu dan dapat dimanfaatkan dalam memberikan layanan kepada peserta didik. Bimbingan dan Konseling sebagai suatu proses pemberian bantuan kepada individu (siswa), yang dapat dilaksanakan melalui berbagai macam layanan. Layanan tersebut saat ini, pada saat zaman semakin berkembang, tidak hanya dapat dilakukan dengan tatap muka secara langsung, tapi juga bisa dengan memanfaatkan media atau teknologi informasi yang ada. Tujuannya adalah tetap memberikan bimbingan dan konseling dengan cara-cara yang lebih menarik,interaktif, dan tidak terbatas tempat, tetapi juga tetap memperhatikan asas-asas dan kode etik dalam bimbingan dan konseling. Konselor Sekolah sebagai subjek yang terkait langsung dengan dampak harus mengantisipasi dengan pengetahuan dan keterampilan penggunaan komputer. Keterampilan dan penguasaan pengetahuan sangat dibutuhkan oleh konselor sekolah agar dapat menggunakan layanan bimbingan dan konseling berbasis teknologi. Banyak sekali manfaat yang dapat diperoleh dari teknologi komputer dalam menunjang profesionalitas kerja konselor, maka konselor perlu mengetahui potensi apa yang terkandung pada teknologikomputer, setidaknya ada 8 (delapan) potensi teknologi komputer berbasis internet.
MODEL PEMBELAJARAN DISCOVERY LEARNING UNTUK MENINGKATKAN HASIL BELAJAR MEMAHAMI TEKS DAN WACANA SISWA SMP NEGERI 11 BINTAN
Authors: Sudaromi Sudaromi
Published: August 2022

Penelitian Tindakan Kelas (PTK) ini dilaksanakan di kelas VII-A SMP Negeri 11 Bintan pada Semester Ganjil Tahun Pelajaran 2017/2018 karena dari hasil observasi awal yang dilakukan ditemukan bahwa hasil belajar siswa untuk mata pelajaran Bahasa Indonesia pada materi memahami teks dan wacana tergolong masih berada di bawah nilai rata-rata kelas yang ditentukan dan di bawah ketuntasan belajar secara klasikal yang dipersyaratkan. Penelitian tindakan kelas ini bertujuan untuk mengetahui apakah model pembelajaran discovery learning yang digunakan dalam proses pembelajaran dapat meningkatkan hasil belajar siswa setelah dilakukan tindakan pada setiap siklus yang direncanakan. Metode pengumpulan data yang digunakan untuk mengetahui seberapa besar hasil yang dicapai menggunakan tes hasil belajar. Metode analisis datanya adalah deskriptif. Hasil yang diperoleh dari penelitian ini adalah model pembelajaran yang diterapkan dapat meningkatkan hasil belajar siswa. Ini terbukti dari hasil yang diperoleh pada awalnya nilai siswa hanya rata-rata baru mencapai 71,56 dengan ketuntasan belajar secara klasikal mencapai 28,13%, pada siklus I setelah dilakukan tindakan perbaikan dengan menggunakan model pembelajaran discovery learning meningkat menjadi 78,50 dengan ketuntasan belajar mencapai 68,75% dan pada Siklus II setelah dilakukan penyempurnaan tindakan meningkat menjadi 82,44 dengan persentase ketuntasan belajar mencapai 90,63%. Kesimpulan yang diperoleh dari penelitian ini adalah model pembelajaran discovery learning sangat efektif digunakan dalam proses pembelajaran sebagai alternatif untuk meningkatkan hasil belajar siswa.