bluuebunny/crossref_metadata_2025 huggingface dataset:
The Ladder of Power: Science Communication and Citizen Science
Authors: Gascoigne Thomas , Metcalfe Jenni , Riedlinger Michelle
Published: December 2022

On March 28, 2022, the Journal of Science Communication published a special issue on participatory science communication featuring 15 papers and essays. The Journal of Science Communication special issue sparked a debate among the four editors over the wording of the call for papers. What is the difference between “participatory science communication” and “citizen science”? Are they different points along a continuum stretching from “simple” to “more involved”? Does “citizen science” incorporate “participatory science communication”? And is all citizen science participatory? A key consideration is the level of involvement by “citizens” in these endeavours, and that consideration translates to questions of power. This essay explores definitions of participatory science communication and citizen science. It examines each of these concepts through the framework of shifting relationships and the implicit power imbalance between scientists and various publics. In doing this, we revisited Sherry Arnstein’s (1969) paper, “A Ladder of Citizen Participation”, and constructed complementary ladders for science communication and citizen science.
STOCHASTIC MODEL FOR FORECASTING OF CRUISE OR FERRY SHIP ARRIVAL AT SEAPORT FOR INFRASTRUCTURE ASSESSMENT
Authors: Maiorov N. N. , Fetisov V. A. , Dobrovolskaia A. A.
Published: December 2022

The topic of the research is the development of new models and methods to assess the efficiency of port operations of sea passenger ports and terminals in order to effectively plan the work and accurate forecasting of infrastructure development. It is noted that changes in cruise and ferry route networks, especially relevant in the conditions of passenger traffic recovery after the gradual lifting of restrictions due to Covid-19, will directly affect port congestion. It is proposed to include into the sphere of decision-making on management of the sea passenger port the models based on consideration of probabilistic processes of cruise or ferry vessels calls. The Baltic Sea region is chosen as an object of research. The main modern directions in the sphere of sea passenger transportations confirming the gradual recovery of the route networks operation are presented. The flow of cruise and ferry vessels of the sea passenger port “Passenger port St. Petersburg “Marine Facade” is chosen as an object of research. The analysis of loading of berths, the analysis of the size of cruise and ferry ships, the route networks of ferry and cruise lines are carried out. As a result of the research a new stochastic model is presented and comparison with known distribution laws is carried out. Based on the data obtained, a confidence zone for making decisions on port congestion is determined. This area is formed on the basis of an assessment of the study of the dynamics of ship traffic nonstationary intensity, followed by the application of correlation-regression analysis and the characteristics of the random function describing the intervals between individual arrivals of cruise and ferry ships. The proposed model includes the ability to consider different priorities, primarily in terms of vessel length. Digital transport model is built in AnyLogic environment for port congestion study. The received data are used for optimization experiments in AnyLogic software environment with the purpose of complex estimation of the seaport operation for a year. Based on the optimization experiment and simulation, data are generated considering different distribution laws and used for decision making in case of uncertainty for infrastructure modernization. The presented model can be used for substantiation of management decisions both on strategic and tactical levels for assessing the efficiency of investment projects on development of sea passenger ports and terminals.
THE IMPACT OF INTERNAL LOGISTICS DEVELOPMENT ON THE CONTAINER TERMINAL OPERATION MODES
Authors: Izotov O. A.
Published: December 2022

The applied significance of the potential capabilities of a container involved in the transportation of goods in the Hinterland zone, which presuppose the external manifestation of its transport characteristics in system interaction with other objects and participants in the process, is investigated in the paper. It is noted that the level of potential (maximum) carrying capacity of a heavy container in the Hinterland zone is a reflection of the organizational and technological conditions of its operation, and the value of the achieved carrying capacity characterizes the level of logistics development at the polygon under consideration. A number of scenarios for container handling organization in the Hinterland zone are classified and described. The dependencies are revealed and a mathematical apparatus for assessing the use of the transport potential of the container is presented. It is emphasized that the task of developing the transportation capabilities of the system under consideration involves reducing the length of transportation routes and developing measures to ensure the most complete loading of vehicles and increasing the average speed of transportation with existing restrictions on related operations (for example, loading and unloading). The problem of calculating the assessment of the development of Hinterland internal logistics as an external factor of transportation is formulated. Attention is drawn to the fact that the development of internal logistics does not depend on the presence or absence of goods in the region at the moment. The influence of the internal logistics development level on the modes of the container terminal operation and its service areas is revealed. It is concluded that the level of using the transport potential of container in the Hinterland zone reaches the estimated level of logistics development only with 100 % container loading in both directions and generally does not affect the organization of the transport process at the polygon under consideration.
STUDYING THE PROBLEM OF GEOMETRIC PARAMETERS SIMULATION OF HULL STRUCTURES DEFORMED UNITS
Authors: Bimberekov Pavel A. , Burmistrov Evgeny G.
Published: December 2022

The most common case of deformation of frame T-beams is taken as the object of research on the accuracy of modeling the geometric parameters of the cross-section of the deformed nodes of ship hull structures. The exact, determining the strength characteristics, geometric parameters of the cross-section of a deformed wall of a frame beam and a beam with an attached sheathing belt in a deformed wall with several models replacing the original section in succession, are compared in the paper. The scanned cross-sections of beams models with a deformed wall are taken as the evaluated objects. The models have several options for the ratio of the wall height to its thickness and different forms of buckling of the beam wall. Based on the simulation results, a comparative assessment of the values of these parameters is given and a conclusion about the accuracy of the simulation results sufficient for practice is made. In addition, it is shown that the modeling accuracy allows satisfactorily assessing the geometric parameters of the strength of the cross-section of the frame beams of the ship’s set with a deformed wall without direct access to the beam and assessing the zone and type of wall deformation - by measuring the deformation of the outer side of the skin at the attachment point of the beam. A composite model, representing a set of an undeformed T-beam with a wall of the same thickness, height equal to the height of the deformed beam wall and a sheet element in the plane of the beam wall adjacent to the skin, is recommended as the main one. The height of this element is 2/3 of the height of an undeformed beam with a cross-sectional area equal to the difference between the wall areas of the undeformable modeled and imitated beams. In addition, the accuracy assessment of determining the geometric parameters of the strength of the cross-section of a T-beam with an attached sheathing belt in the case of a deformed wall and its reinforcement with sheet elements in the plane of the wall is given. It is concluded that the use of this modeling method allows one to obtain models convenient for the analytical description with their satisfactory accuracy.
OPTIMAL PULSE WIDTH MODULATION IN THE ELECTRIC DRIVE CONTROL SYSTEM
Authors: Belousov Igor’ V. , Samoseiko Veniamin F. , Saushev Alexander V.
Published: December 2022

The process of pulse width modulation (PWM) in the converter - electric motor system is considered. It is noted that the main task of pulse-width modulation of the voltage generated by the electron-key converter in the converter - electric motor system is to reduce current pulsations during the modulation period. It is proved that the dynamic process of changing the current in an electric machine on the PWM period can be approximated by an R, L-filter. It is established that the most important task of PWM is to minimize the current modulation error in the electric motor. The analysis of possible criteria for assessing the quality of the modulation process in electric drive control systems is carried out. It is shown that as an optimality criterion for assessing the quality of modulation in a converter - electric motor system, it is advisable to use an integral quadratic criterion of relative error, called local current dispersion, as well as the average value of local current dispersion over the period of the modulating function, called integral current dispersion. The process of single-phase modulation on a single-phase load is considered. Analytical estimates of the load current dispersion for this process are obtained. A condition, under which the current dispersion takes a minimum value, is recorded. The efficiency of pulse-width modulation optimization by the criterion of current dispersion is investigated. The average dispersion of currents in the load with a centrally symmetric arrangement of pulses on the modulation interval is taken as the base value of the dispersion. An expression that allows us to evaluate the efficiency of optimizing the current dispersion, taking into account the increment of the center of the modulation interval, is obtained. The dependence illustrating the efficiency of optimization by the criterion of pulse displacement relative to the center of the PWM interval on the relative frequency of modulation at different amplitudes of the modulating voltage is constructed. An expression is obtained for estimating the average value of the local current dispersion over the half-period of the modulating function.
AUTOMATED APPROACH FOR SOLVING THE PROBLEM OF DETERMINING THE MARITIME AUTONOMOUS SURFACE SHIP OPERATION AREA
Authors: Ilchenko Anna A. , Akmaykin Denis A. , Gams Anastasia V.
Published: December 2022

Every year the need for automation of the most diverse spheres of human activity is growing. In various areas of industry, services, logistics systems, there is a global trend towards autonomy of production and transport processes. In the field of maritime navigation, the most promising solution for automation is the use of marine autonomous surface ships. A maritime autonomous surface vessel is a vessel that is capable of functioning to varying degrees without interaction with a human operator. The complete or at least partial absence of the crew on the route of the vessel significantly reduces the costs of transport companies. However, any operation of an object is always preceded by a thorough analysis of the area of use; therefore, the main criteria for the classification of unmanned vessels, which allow determining the main design features of the vessel, are presented in the paper. A large number of criteria for classifying a surface object according to various conditions creates certain problems with the selection of the unmanned vessel operation area, therefore, a method that takes into account all the proposed classifications, allowing to determine the area of operation of marine autonomous surface ships using the example of the waters of Peter the Great Bay, is proposed in the paper. The application of an automated approach to solving the problem of classifying an object using a specially developed software product makes it possible to increase the visibility of the method results and the convenience of its use. A software tool that requires the input criteria of the designed MANS for successful operation is proposed. The result of the work is a map, where the proposed vessel operation area is marked in color, and there is also a function for viewing information about the local environment for the use of a manned object. The interface of the software tool, as well as the results of its work on the example of the water area of Peter the Great Bay, are presented.
USING SHIP ROUTE OPTIMIZATION DURING ICE NAVIGATION IN TERMS OF SAFETY MANAGEMENT SYSTEM
Authors: Aleshin Alexander A. , Kubrin Sergey S.
Published: December 2022

The main international rules and conventions which set requirements to passage planning process are considered in the paper. A number of factors influencing the choice of ship safe speed in polar waters have been listed. Increasing a volume of merchant shipping in the Russian Arctic region is highlighted. Stable growth of maritime shipping along with development of new oil and gas projects require a detailed study of sea transport routes to ensure efficient export of mineral resources, including liquid hydrocarbons. It is observed that vessels quite often deviate from the recommended routes on the Northern Sea Route when ice conditions are prevailing. This causes the necessity of using optimization algorithms which would take into account variable ice conditions. The use of such algorithms should increase economical efficiency of Arctic merchant shipping. However, these algorithms should meet international regulations regarding safety of navigation and passage planning, ensuring safe navigation during the whole passage. It is underlined that use of optimization algorithm should be considered as one of the factors influencing safety of navigation therefore it should be included in the standard risk assessment prior commencement of the voyage. To ensure proper level of navigation safety, the safety management system onboard should be effective. This should include a number of amendments, which are listed in the paper for the situation when optimization tools are used operatively for passage planning. Mandatory risk assessment should take into account the use of such tools. A set of countermeasures, which involve ensuring the safe application of the optimization method, within the risk assessment procedure are presented in the paper.
TRAINING A NEURAL NETWORK TO CALCULATE THE CLOSEST POINT OF APPROACH
Authors: Tripolets Oleg Y.
Published: December 2022

The process of training a neural network on calculation of closest point of approach (CPA) between two ships, and testing its performance and accuracy is described in the paper. The architecture of the neural network, the type of input and output data, and creation of training data set are also described in the paper. Feed Forward Neural Networks with Backpropagation algorithm are used; training method is Supervised with Levenberg-Marquardt algorithm. The input data are positions, courses and speeds of vessels in a certain area, the output data are Closest Points of Approach (CPA) between them. The process of writing a script in MATLAB software environment is described. The script allows a user to generate training data with any number of vessels in an area. Comparison of the time spent on CPA calculation using formulas and using neural networks is carried out. It has been proven that when processing large data arrays, the CPA calculation with neural networks is much faster than by means of formulas. After neural networks training process and the calculations results comparison, one neural network with mean squared error of 0.21 is chosen. It can be used for CPA calculations in MATLAB-based simulations. In the future this network might become a base for a collision-avoidance neural network system, which will allow vessels to manoeuvre safely in order to avoid collisions in a certain area.
MODAL SYNTHESIS OF THE OBSERVER OF THE STATE VARIABLES OF THE RIVER DREDGER AUTOMATION SYSTEM
Authors: Chertkov Alexandr A. , Ivanyuk Vladimir Yu. , Kask Yaroslav N.
Published: December 2022

The purpose of the work is to apply automation technologies and digitalization of the process of assessing the immeasurable variables of the state of the river dredger automation system when controlling high-tech software and hardware equipment with an electric drive, in order to increase the productivity of the vessels of the technical fleet when performing dredging operations on waterways. River dredgers are complex dynamic control objects, the performance of which in the conditions of digital transformation can be significantly increased through the use of new software and hardware, the algorithmization of which is based on neural network technologies and learning processes. To increase the efficiency and reliability of the operation of such facilities with the prospect of transition to unmanned control of the energy systems of dredgers, it is necessary to increase the information content of the complex of sensors containing information about the object state. In this regard, the use, along with the existing ones, of mathematical information sensors, which are observers, is proposed in the paper. On the example of controlling a precision electric drive, an algorithm for synthesizing a dynamic system with an observer, in which all components of the state variables vector are restored at the output coordinate, is considered. The proposed algorithm for the synthesis of the state vector evaluator is implemented in the form of a program compiled in the MATLAB codes, and it is demonstrated by the example of calculating a three-dimensional dynamic observer for the automation system of a river dredger. The obtained values of state variables and errors of their recovery, as well as the results of modeling the dynamic reactions of the automation system of the river dredger, correspond to the specified speed and required stability of the electric drive of the river dredger during its transition to a steady state under new initial conditions.
Comparative Performance Evaluation of the Public Health Surveillance Systems in 6 Gulf Cooperation Countries: Cross-sectional Study
Authors: Albali Nawaf , Almudarra Sami , Al-Farsi Yahya , Alarifi Abdullah , Al Wahaibi Adil , Penttinen Pasi
Published: December 2022

Background

Evaluating public health surveillance systems is important to ensure that events of public health importance are appropriately monitored. Evaluation studies based on the Centers for Disease Control and Prevention (CDC) guidelines have been used to appraise surveillance systems globally. Previous evaluation studies undertaken in member countries of the Gulf Cooperation Council (GCC) were limited to specific illnesses within a single nation.

Objective

We aimed to evaluate public health surveillance systems in GCC countries using CDC guidelines and recommend necessary improvements to enhance these systems.

Methods

The CDC guidelines were used for evaluating the surveillance systems in GCC countries. A total of 6 representatives from GCC countries were asked to rate 43 indicators across the systems’ level of usefulness, simplicity, flexibility, acceptability, sensitivity, predictive value positive, representativeness, data quality, stability, and timeliness. Descriptive data analysis and univariate linear regression analysis were performed.

Results

All surveillance systems in the GCC covered communicable diseases, and approximately two-thirds (4/6, 67%, 95% CI 29.9%-90.3%) of them covered health care–associated infections. The mean global score was 147 (SD 13.27). The United Arab Emirates scored the highest in the global score with a rating of 167 (83.5%, 95% CI 77.7%-88.0%), and Oman obtained the highest scores for usefulness, simplicity, and flexibility. Strong correlations were observed between the global score and the level of usefulness, flexibility, acceptability, representativeness, and timeliness, and a negative correlation was observed between stability and timeliness score. Disease coverage was the most substantial predictor of the GCC surveillance global score.

Conclusions

GCC surveillance systems are performing optimally and have shown beneficial outcomes. GCC countries must use the lessons learned from the success of the systems of the United Arab Emirates and Oman. To maintain GCC surveillance systems so that they are viable and adaptable to future potential health risks, measures including centralized information exchange, deployment of emerging technologies, and system architecture reform are necessary.
Social Media Trolls and Mental Health Challenges in Nigeria: Social Media has become an integral part of our daily communications system, helping individuals and groups break and work beyond boundaries. Despite this huge advantage of social media in communication and work, it never comes without a huge setback. Social media has been used to bulky and troll, attack, abused and threatened users. In this article, I explore how this trend of trolling is having a huge negative impact on youths' mental health in Nigeria. (Preprint)
Authors: Wisdom Ikpe
Published: December 2022

UNSTRUCTURED

Internet and social media come with their pros and don't despite the positive role they have played and still have in our social and economic development.
RESPONSIVENESS SISI KESEHATAN DALAM MEMBERIKAN PELAYANAN KESEHATAN
Authors: Wa Ode Siti Orianti  , Mubasysyir Hasanbasri  , Adi Utarini
Published: December 2022

Background: Responsiveness according to WHO is the result that can be achieved when an institution designed so that they areaware of and respond appropriately to the expectations of a legitimate, based on measurements through eight domains are: dignity,attention immediately, autonomy, choice of health care providers, clear communication, confidentiality, quality of basic amenities, andaccess to social support networks.Objective: To analyze the responsiveness of the hospitals and health centers in providing health services.Methods: A descriptive study with qualitative methods. This research uses descriptive type so that the researcher will analyze howresponsiveness in terms of health in providing health services to the community. This research was conducted in Buru Regency with 22 respondents.Results: The experience of respondents to the responsiveness in hospitals that view based on variable dignity officers have notprovided services to the fullest and less maintain patient privacy. Variable attention in hospitals and health center patients are stillwaiting long in getting service especially in emergency situations because the doctor was not in place. The variable access to thenetwork for the distance from home to health facilities is still very far away and unreached by the public outside the city as well as a drugthat is not yet complete. The variable quality of amenities in hospitals on quality very bad environment that makes the patient feelnot comfortable and safe. Variable trust in hospitals and community health centers are still not so sure about health care because theybelieve in the healing traditions.Conclusion: Responsiveness of the health in Hospitals Buru and Air Buaya Health Centers not responsive that in view based on variablesdignity, attention, access to the network, quality of amenities and trust.
ANALISIS KESIAPSIAGAAN, RESPONS, DAN PEMULIHAN DALAM PENANGANAN KASUS CORONA VIRUS DISEASE-19 (COVID-19)
Authors: Nursuciyati  , Laksono Trisnantoro  , Puti Aulia Rahma
Published: December 2022

Background: The number of global COVIF-19 cases was 191,148,056 million confirmed cases, 4,109,303 cases died, 204countries were infected, and 151 countries experienced local transmission. The outbreak of CoronaVirus Disease-19 (COVIF-19) inIndonesia is increasing. To date, 3,033,339 confirmed cases and 79,032 cases died. This situation causes COVID-19 cases to be stillthe main agenda in handling health in Indonesia and even globally.Objective: This study aims to identify and explain the analysis of preparedness, response, and recovery activities in handling Covid-19 cases in the Bima Regency.Methods: This type of research is qualitative research using a descriptive analysis approach that will describe an event based on theresults that have been analyzed. The research subjects were eight stakeholders who handled Covid-19 in Bima Regency. Researchdata will be collected using a checklist sheet from 2020 WHO guidelines.Data analysis is carried out using the Miles and Huberman model, namely: data collection, data reduction, data descriptionpresentation, conclusions.Results: Based on the percentage of activities that only developed by 21.43%, the preparedness and readiness phase, it canbe concluded that the handling of Covid-19 by stakeholders is not optimal due to several internal factors as well as from the community.Stakeholders have not conducted training and education for health workers regarding the handling of Covid-19 because no budgetplanning has been carried out. This has resulted in many health workers being exposed to Covid-19 in referral hospitals. Meanwhile,recovery by vaccinating the community is facilitated by all the primary health care in all areas of Bima Regency.Conclusion: In general, the Covid-19 Task Force in Bima Regency has not optimally carried out handling based on preparedness, response, and recovery aspects. The condition of handling Covid-19 cases has obstacles, namely the lack of health infrastructure, for example, health logistics and lack of public awareness in handling Covid-19 cases.
EVALUASI PELAKSANAAN PROGRAM KELUARGA BERENCANA DAN KESEHATAN REPRODUKSI DI KAMPUNG KB KABUPATEN: STUDI KASUS KECAMATAN
Authors: Syahra Sonia Andhiki  , Laksono Trisnantoro  , Dwi Handono Sulistyo
Published: December 2022

Background: The Kampung KB program since 2016 has made families take the initiative to invite the surrounding environment to participate in fulfilling family planning needs independently. The village KB program builds cross-sectoral collaboration, one of which is fulfilling aspects of family planning with the achievement of longterm contraceptives (MKJP).Objective: This study aims to explore the extent which is the effectiveness of Kampung KB Program was implemented and has an impact on MKJP achievements in Desa Sumberjaya Kecamatan Gondanglegi, Kabupaten Malang.Methods: The approach is a case study using quantitative and qualitative data that will provide information about the context, input, process, and product of family planning targets. Quantitative data were collected from documented secondary data reports. Subjects totalling 22 people are stakeholders involved in implementing family planning policies and program activities. Data were analyzed using content analysis.Results: The implementation of Kampung KB Program in Desa Sumberjaya, Kecamatan Gondanglegi, has been going well in termsof the implementation of POKJA activities, the activity of field line officers, and the availability of contraceptives. In addition, the obstaclesthat need to be addressed are the insufficient distribution of PLKB/Sub PPKBD/cadres in the field, low financial support coupledwith the absence of a strong policy and other challenges that are difficult to penetrate public trust related to MKJP.Conclusion: Aspects that caused MKJP’s achievement have not reached the target in Desa Sumberjaya Kecamatan GondanglegiKabupaten Malang, including the lack of field line officers, minimal operational funding support, less operational policies, and theexistence of a pandemic that caused many activities to be limited and even stopped as well as factors such as the socio-cultural complaints that are complained of difficult for field line officers to penetrate.
STRATEGI BUSINESS CONTINUITY PLAN UNTUK KEBERLANGSUNGAN RS MATA “DR. YAP”
Authors: Febriyanto Sandy , Adi Utarini  , Ni Luh Putu Eka Putri Andayani
Published: December 2022

Abstrak

Latar belakang: COVID-19 dilaporkan menginfeksi manusia pertama kali di Wuhan pada Desember 2019. Kejadian COVID-19 menyebar ke seluruh dunia termasuk Indonesia dan dinyatakan sebagai pandemi oleh World Health Organization. Rumah sakit Mata “Dr. YAP” tidak lepas dari dampak pandemi COVID-19. Business Continuity Plan(BCP) merupakan usaha dalam mempertahankan keberlangsungan suatu bisnis dengan menilai risiko yang ada dan mungkin terjadi, sebagai penyelamat aset saat terjadinya bencana, untuk mencapai tujuan bisnis, menjaga kemampuan operasional, reputasi, pandangan pelanggan, dan pendapatan. Melihat hal tersebut diperlukan penyusunan BCP di RS Mata “Dr. YAP” dalam menghadapi dampak pandemi COVID-19 terhadap manajemen dan pengembangan usaha rumah sakit.

Tujuan: Menyusun BCP RS Mata “Dr. YAP” dalam menghadapi dampak pandemi COVID-19 terhadap manajemen dan pengembangan usaha rumah sakit.

Metode: Kajian studi deskriptif, penyusunan BCP dengan tahapan penilaian risiko menggunakan Checklist Level of vulnerability dan Business Impact Analysis.

Hasil: RS Mata “Dr. YAP” memiliki skor penilaian risiko yang menunjukkan area bisnis tetap rentan walaupun sudah melakukan berbagai tindakan untuk kesiapsiagaan. Dampak pandemi COVID-19 dialami oleh RS Mata “Dr. YAP” dilihat dari aspek SDM, pelayanan, sistem informasi dan teknologi, pelayanan penunjang, keuangan, pengembangan bisnis, dan partnership. BCP disusun berdasarkan analisis dampak bisnis yang telah dilakukan dan rekomendasi rencana pemulihan bencana.

Kesimpulan: Penyusunan Business Continuity Plan yang dapat diterapkan di Rumah Sakit Mata “Dr. YAP” difokuskan untuk pengaturan SDM, modifikasi pelayanan, peningkatan kemampuan sistem informasi dan teknologi serta kesiapan dana darurat sehingga kelangsungan dan pengembangan bisnis rumah sakit dapat tercapai.

Kata kunci: Business Continuity Plan, COVID-19 , Penilaian risiko, Business Impact Analysis
HAMBATAN PEMANFAATAN DASHBOARD JKN SEBAGAI SUMBER INFORMASI DALAM PENGAMBILAN KEBIJAKAN OLEH DINAS KESEHATAN (Studi di Dinas Kesehatan Provinsi Lampung dan Kota Bandar Lampung)
Authors: Wardani Nanda Fitri , Lazuardi Lutfan , Kurniawan M. Faozi
Published: December 2022

Latar Belakang: Dashboard JKN merupakan sebuah aplikasi yang dikeluarkan oleh BPJS Kesehatan berupa visualisasi data yang berasal dari data klaim BPJS Kesehatan. Penelitian ini dilakukan untuk mengeksplorasi implementasi pemanfaatan Dashboard JKN sebagai sumber informasi dalam penentuan kebijakan kesehatan.

Metode: Penelitian ini merupakan penelitian kualitatif dengan menggunakan metode pengambilan sampel purposive sampling. Pengambilan data dilakukan dengan cara wawancara mendalam semi terstruktur dan observasi di Dinkes Provinsi Lampung dan Dinkes Kota Bandar Lampung.

Hasil: Wawancara dilakukan kepada 21 informan yang merupakan kepala bidang, kepala seksi, dan pengguna Dashboard JKN. Dinkes Provinsi Lampung sudah memanfaatkan Dashboard JKN, sedangkan Dinkes Kota Bandar Lampung belum memanfaatkannya. Dashboard JKN dimanfaatkan sebagai data dukung Monev dan monitoring klaim Covid-19. PIC Dashboard JKN belum mendapatkan pelatihan mengenai penggunaan Dashboard JKN. Informan lain nya belum mendapatkan sosialisasi terkait Dashboard JKN.

Kesimpulan: Pemanfaatan Dashboard JKN oleh Dinkes belum berjalan optimal. Faktor yang menyebabkannya adalah tidak adanya pelatihan penggunaan Dashboard JKN, tidak adanya sosialisasi di internal Dinkes kepada bidang dan seksi lain, serta fitur Dashboard JKN belum sesuai dengan kebutuhan Dinkes dalam menjalankan tugas dan fungsinya.
The Significance of Walls in Christopher Marlowe's The Jew of Malta: Analytical Perspectives
Authors: Hasobi Dr. Wael Fadhil
Published: December 2022

Christopher Marlowe's The Jew of Malta is analyzed in this paper for its juridical and biopolitical significance. It was the goal of early modern city planners to prevent diseases from spreading across the city's public spaces. By protecting the politic body from sickness, Malta's walls help differentiate between the physical and metaphysical world. In Marlowe's view, the national body is a living thing threatened by alien bodies. According to the play's medical discourse, pathogenic infiltrations of Turks and Catholics are eradicated by another invading entity, a Jew.
Mobile Fitness Application
Authors: Mathur Sankalp , Karthikeyan H. , Singh Aditya Pratap
Published: December 2022

Abstract: Online technologies that enable self-tracking as well as exercise are fitness apps. Certain app features, such as normalized step objectives, indicate controlling circumstances that might influence controlled vs. autonomous motivation and, therefore, encourage regular exercise. This research sought to determine how using a fitness app for self-tracking and setting a normalized step goal affected several elements of desire and regular exercise. Fitness applications have taken over the country with the launch of the mobile Web and have significantly changed how individuals behave while exercising. One can install a tonne of fitness applications from the web. Applications present in the current app stores does not have to many features like water-in-take or calories burnt, step counter all in one. Either the application has only one of two feature .With just a few applications having all the required features but are very costly and accessible to the majority of the people.
Disease Prediction System using naïve bayes
Authors: Meshram Sameer , Dongre Shital , Fole Triveni
Published: December 2022

Abstract: Accurate and on-time analysis of any health-re- lated problem is vital for the prevention and treatment of the illness. The standard way of diagnosis might not be suf-ficient. Developing a diagnosis system with machine learn- ing (ML) algorithms for prediction of any disease can helpina very more accurate diagnosis than the traditional method.The proposed model is an Disease Prediction System with the help of machine learning algorithm Naive Bayes which takes the symptoms as the input and it gives the output as predicted disease. It results in saving time and also makes it easy to induce a warning about your health before it’s too late. By using this model anyone can get the result as pre- dicted disease by simply given the symptoms as input. The accuracy of this model is more than existing models.
Instant and Secure Messaging Platform Based on Blockchain
Authors: Kumbhar Ajay , Godale Madhav , Jagtap Payal , Misal Amruta , Cholke Mr. Abhijeet
Published: December 2022

Abstract: In recent years, texting and messaging have become more prevalent than face-to-face communication, and users are becoming increasingly aware of data privacy issues associated with them. Therefore, a secure and simple way to connect is crucial for individuals and organizations with different identities and goals. The most popular organization messaging applicationsare moving towards end-to-end encryption (E2EE) as a means of ensuring the privacy and security of their users. As a result of theimplementation of the messaging distributed application, several benefits will be brought to society and the way information or different services are handled. The main objective is to develop the chatting platform to increase the privacy of messages. Consequently, both organizations and individuals express deep concern regarding the security of data and privacy when using instant messaging applications. This research seeks to enhance the security channels in chat platforms by using a new technology such as blockchain. Blockchain is a technology that operates on a decentralised basis. By overcoming the disadvantages oftraditional messaging applications, we can ensure official data’s confidentiality, integrity and availability, as well as advancedauditing capabilities.
Small Businesses Need Project Management
Authors: Patil Shahul , Jaiswal Dr. Rupesh C.
Published: December 2022

Abstract: All small enterprises thrive until they expand into large corporations. Small companies recognise that the only way to succeed is to keep their commitments. This includes the manufacture and sale of high-quality goods as well as the provision of high-quality services. This also entails ongoing process optimization and improvement. To achieve things properly without wasting time and money, takes work, dedication, and a well-established system. Project management becomes extremely efficient, particularly when it comes to controlling elements like production and testing, marketing and branding cash flow and payroll, customer support, and other crucial operations. This article discusses how to utilise project management effectively in small organisations.
Detection of Gender and Age using Machine Learning
Authors: Kulkarni Mr. Aditya , Joshi Mr. Parth , Sindgi Mr. Shaunak , Rakshasbhuvankar Mr. Shreyas , Kumar Mr. Vivek , Dachawar Prof. Madhavi
Published: December 2022

Abstract: Age and gender predictions of unfiltered faces classify unconstrained real-world facial images into predefined ages and gender. Due to its value in intelligent real-world applications, this study topic has undergone significant advancements. Nevertheless, traditionalmethods based on unfiltered benchmarks have proven inefficient at handling large degrees of variation in unconstrained images. Because of their superior performance, Convolutional Neural Networks (CNNs) based approaches have been employed widely in recent years for the classification of jobs, and good quality of performance in facial analysis. In this work,we propose a novel end-to-end CNN approach, to achieve robust age group andgender classification of natural realworld faces. Two-level CNN architecture includesfeature extraction and classification itself. The feature extraction process extracts a feature corresponding to age and gender, and the classification process classifies theface images according to age and gender. Particularly, we address the largevariations in unfiltered real-world faces with a robust image pre-processing algorithm that prepares and processes those facial images before being given into the CNN model.
Sumário
Authors: Mazzioni Sady
Published: December 2022

Sumário
Quantum Liouvillian exceptional and diabolical points for bosonic fields with quadratic Hamiltonians: The Heisenberg-Langevin equation approach
Authors: Perina Jr Jan , Miranowicz Adam , Chimczak Grzegorz , Kowalewska-Kudlaszyk Anna
Published: December 2022

Equivalent approaches to determine eigenfrequencies of the Liouvillians of open quantum systems are discussed using the solution of the Heisenberg-Langevin equations and the corresponding equations for operator moments. A simple damped two-level atom is analyzed to demonstrate the equivalence of both approaches. The suggested method is used to reveal the structure as well as eigenfrequencies of the dynamics matrices of the corresponding equations of motion and their degeneracies for interacting bosonic modes described by general quadratic Hamiltonians. Quantum Liouvillian exceptional and diabolical points and their degeneracies are explicitly discussed for the case of two modes. Quantum hybrid diabolical exceptional points (inherited, genuine, and induced) and hidden exceptional points, which are not recognized directly in amplitude spectra, are observed. The presented approach via the Heisenberg-Langevin equations paves the general way to a detailed analysis of quantum exceptional and diabolical points in infinitely dimensional open quantum systems.
Zakat Computation and Disclosure Practice in Malaysian Islamic Banks
Authors: Mohd Ariffin Noraini , Osman Ahmad Zamri
Published: December 2022

Research aim: The paper aims to examine the current zakat practices of Islamic banking institutions in Malaysia focusing on zakat computation method and disclosure Design/ Methodology/ Approach: The study initially employs content analysis of the annual report. This is later strengthened by semi-structured interviews with relevant bank officers to address the research question. The annual report of 16 Islamic banks and 6 development financial institutions for the year 2020 are used to analyse the current zakat computation method. Research finding: The findings show that the Growth Method is most used in zakat computation. It is also found that some banks, disclosed more zakat information in the Shariah Committee report as well as in the Notes to the Financial Statements. The choice of method to a certain extent is influenced by the challenges facing these institutions. Five of those are deliberated here - window dressing, the implication of zakatable amount upon adhering to some of Bank Negara Malaysia requirements, the different applications and interpretations of the zakat rate, the shareholdings’ issues, and the different distribution practices. Theoretical contribution/ Originality: The study uses Maqasid Shariah as the lens to frame the zakat computation and disclosure issue. In addition, certain BNM requirement has unintended consequences on zakat practices. Practitioner/ Policy implication: Individual Islamic banks should have a clear internal zakat computation framework that is approved by its Shariah Committee to have an accurate zakat computation for Islamic banks.
Decompression sickness followed by diabetic ketoacidosis and sepsis shock: an unusual case report
Authors:   Department of Intensive Care Unit, the General Hospital of Southern Theater Command, the Chinese People's Liberation Army, Guangzhou 510000, China, Liu Anwei , Hou Xiaogan ,   Department of Intensive Care Unit, the General Hospital of Southern Theater Command, the Chinese People's Liberation Army, Guangzhou 510000, China, Nie Jing ,   Department of Medicine Intensive Care Unit, the General Hospital of Southern Theater Command, the Chinese People's Liberation Army, Guangzhou 510000, China, Wen Qiang ,   Department of Intensive Care Unit, the General Hospital of Southern Theater Command, the Chinese People's Liberation Army, Guangzhou 510000, China, Pan Zhiguo ,   Department of Intensive Care Unit, the General Hospital of Southern Theater Command, the Chinese People's Liberation Army, Guangzhou 510000, China
Published: December 2022

Decompression sickness (DCS) is a disease caused by abrupt change of extracorporeal pressure, with varying severity. Symptoms range from mild musculoskeletal pain to severe organ dysfunction and death, especially among patients with chronic underlying disease. Here, we report an unusual case of a 49-year-old man who experienced DCS after a dive to a depth of 38 meters. The patient’s symptoms progressed, starting with mild physical discomfort that progressed to disturbance of consciousness on the second morning. During hospitalization, we identified that in addition to DCS he had also developed diabetic ketoacidosis, septic shock, and rhabdomyolysis. After carefully balancing the benefits and risks, we decided to provide a series of supportive treatment to sustain vital signs, including ventilation support, sugar-reducing therapy, fluid replacement, and anti-infection medications. We then administered delayed hyperbaric oxygen (HBO2) when his condition was stable. Ultimately, the patient recovered without any sequelae. This is the first case report of a diver suffering from DCS followed by diabetic ketoacidosis and septic shock. We have learned that when DCS, along with other critical illness is highly suspected, it is essential to assess the condition comprehensively and focus on the principal contradiction.
Economic impact of the COVID-19 pandemic on the tourism industry
Authors: Abuamoud Ismaiel , Ibrahim Amal , Al-Tabini Raed
Published: December 2022

The tourism sector was the most negatively affected sector due to the COVID-19 pandemic, especially in areas that depend primarily on tourism, such as Petra, Jordan (World Tourism Organization [UNWTO], 2022). The researchers conducted a survey with the goal of measuring the economic impact of the COVID-19 pandemic on the tourism industry in Petra. Data were collected from 484 residents of Petra to survey their views on the degree of the pandemic’s impact. The findings of the study showed that the COVID-19 pandemic increased unemployment in the region, decreased people’s ability to pay bills and buy essential items, and decreased average salaries. The results also showed that businesses decreased the number of their employees, they were expected to make less money, and more businesses were expecting not to make any revenue. There was a larger economic impact on the residential areas of Wadi Musa and Umm Sayhoun because these residential areas are majorly focused on the tourism industry.
Book review: “Board of directors and company performance: An international outlook”
Authors: Venuti Marco
Published: December 2022

This review covers the book titled “Board of directors and company performance: An international outlook”, edited by William Megginson, Pablo de Andres, Marina Brogi, and Dmitriy Govorun (Virtus Interpress, 2019; ISBN: 978-617-7309-04-7), which examines the state of regulations and the studies about corporate governance (CG), boards of directors, and company performance in 11 countries. The chapters of this book cover different aspects of CG, devoting a primary focus on the board of directors, which is considered by Brogi in the Foreword as “the very heart of corporate governance”
The impact of heuristics on political behavior*Egypt’s Morsi as a case study
Authors: Albek Ahmad
Published: December 2022

This paper aims to answer to what extent do heuristics impact political
behavior, using Egypt’s Morsi as a case study, in the context of the
democratic 2012 Egyptian presidential elections, this thesis was
selected as it proves how cognitive shortcuts determine many of the
political decisions and behaviors an individual makes without an actual
pertinent thought process as opposed to a more typical optimal thought
process, as for the context, it was chosen, as the multitude of pledges,
ideological affiliation and personal character of Morsi makes the impact
of heuristics visible and helps put this impact in picture, this
research is significant in that, it explores the underlying cognitive
inner workings of the individual and to what extent that impacts
political behavior, as established: according to Stlowijk and Vis (2021)
“heuristics are cognitive shortcuts that facilitate judgments and
decision making”, current literature has not explored presidential
figures in depth, especially as case studies, which will be a power of
this research, such that it makes an applicable model out of this
specificity, with its strength lying in its capacity for historical
analysis, Finally, there will be a focus on representativeness,
deservingness and partisanship heuristic .