bluuebunny/crossref_metadata_2025 huggingface dataset:
PEMANFAATAN SLIMS (SENAYAN LIBRARY MANAGEMENT SYSTEM) SEBAGAI E-LIBRARY DI UNIVERSITAS CITRA BANGSA
Authors: Manu Gerlan Apriandy , Fallo Diana Yanni Ariswati
Published: August 2023

Abstract

There is an Open Source Library Management Application called SLiMS (Senayan Library Management System), developed by SDC (Senayan Developers Community). SLiMS is one of the library automation systems that can perform library management processing activities such as OPAC/Online Public Access Catalog, Bibliography, Circulation services, Membership Management, Reporting and Control of serial publications automatically. Citra Bangsa University is one of the universities in Province East Nusa Tenggara which is growing towards a Digital Campus. The use of information systems is emphasized in several education managements, including library management. This study uses a descriptive qualitative method which in this study reviews the use of SliMS as an E-library at Citra Bangsa University.

Abstrak

Terdapat sebuah aplikasi Open Source Manajemen Perpustakaan yang dinamakan SLiMS (Senayan Library Management System), dikembangkan oleh SDC (Senayan Developers Community). Aplikasi SLiMS ini merupakan salah satu sistem automasi perpustakaan yang dapat melakukan kegiatan pengolahan manajemen perpustakaan seperti penelusuran OPAC/ Online Public Accses Catalog, bibliografi, layanan sirkulasi, manajemen keanggotaan, pelaporan dan kendali terbitan berseri secara otomatisasi. Universitas Citra Bangsa adalah salah satu Perguruan Tinggi di Propinsi Nusa Tenggara Timur yang semakin berkembang menuju Kampus Digital. Penggunaan sistem informasi ditekankan dalam beberapa manajemen perguruan tinggi termasuk di dalamnya adalah manajemen perpustakaan. Penelitian ini menggunakan metode Kualitatif Deskriptif dimana dalam penelitian ini mengulas tentang pemanfaatan SliMS sebagai E-library di Universitas Citra Bangsa.
KOSAKATA SEBAGAI METODE MEMBACA CEPAT DALAM PEMBELAJARAN BAHASA INDONESIA SISWA KELAS IV SEKOLAH DASAR
Authors: Benu Asti Yunita , Rafael Agnes Maria Diana
Published: August 2023

Tujuan Penelitian ini untuk mengetahui bagaimana kreatifitas guru menggunakan kosakata sebagai metode membaca cepat  pada pembelajaran Bahasa Indonesia guna mengembangkan kecepatan membaca siswa Kelas IV SD Inpres Labat Kota Kupang. Jenis penelitian kualitatif dengan mengunakan metode deskripsi analisis yang dilakukan dengan cara observasi dan wawancara guru wali kelas. Hasil penelitian menunjukan bahwa guru memiliki kreatifitas dalam menggunakan kosakata sebagai metode membaca guna mengembangkan kecepatan membaca siswa terlihat pada aktifitas guru saat membiasakan siswa untuk belajar kosakata dengan bantuan media kartu huruf, mengingatkan siswa agar pada saat membaca usahakan gerakan anak mata secara vertikal atau ke bawah bukan ke samping, menyisipkan waktu khusus pada saat pembelajaran berlangsung untuk melatih siswa membaca, membagi siswa dalam bentuk kelompok serta setiap kelompok ada siswa yang kecepatan membacanya sudah baik agar bisa membantu teman yang kecepatan membaca belum lancar.
IMPLEMENTASI TEKS PROSEDUR BERBASIS VIDEO INTERAKTIF DALAM PRAKTIKUM SISTEM OPERASI
Authors: Benufinit Yonly Adrianus , Modok Enjel Suryanti
Published: August 2023

Minimnya pengetahuan mahasiswa terhadap langkah-langkah menginstal sistem operasi dalam kegiatan praktikum saat perkuliahan menuntut dosen harus mengoptimalkan perkembangan teknologi yang ada untuk dapat meningkatkan pemahaman mahasiswa. Implementasi teks prosedur berbasis video interaktif merupakan salah satu langkah dalam membantu mahasiswa dalam melaksanakan kegiatan praktikum di laboratorium komputer. Penelitian ini dimaksudkan untuk mengetahui pemahaman mahasiswa dalam penerapan teks prosedur berbasis video interaktif. Tujuan dari penelitian ini untuk mengetahui bagaimana proses penerapan teks prosedur berbasis video interaktif dan melihat tanggapan mahasiswa terhadap hasil penggunaan teks prosedur berbasis video interaktif pada kegiatan praktikum mata kuliah Sistem Operasi di laboratorium komputer. Penelitian ini termasuk ke dalam jenis penelitian ex-post facto (Kerlinger, 1993). Dalam penelitian ini diperlukan instrumen penelitian yang meliputi penerapan teks prosedur berbasis video interaktif berkaitan dengan tingkat kepuasan dan hasil belajar mahasiswa, kemudian data yang diperoleh diolah dengan analisis inferensial. Teknik pengumpulan data dilakukan dengan cara kuesioner. Dalam penelitian ini variabel bebas (X) adalah penerapan teks prosedur berbasis video interaktif dalam praktikum menginstal sistem operasi. Untuk variabel terikat (Y) dalam penelitian ini yaitu kepuasan mahasiswa saat praktikum mata kuliah sistem operasi. Hasil penelitian didapatkan dari perhitungan angket proses implementasi text procedure berbasis video interaktif diperoleh 90% mahasiswa pada tingkat Sangat Setuju. Kemudian hasil perhitungan angket mahasiswa tentang kepuasan praktikum pada mata kuliah sistem operasi diperoleh rata-rata hasil belajar sebesar 92%. Berarti semua mahasiswa dikatakan puas dan berhasil dalam penggunaan teks prosedur berbasis video interaktif saat praktikum mata kuliah sistem operasi.
INCREASING THE EFFECTIVENESS OF NARCOTICS REHABILITATION: CHALLENGES AND STEPS OF BNN GORONTALO CITY
Authors: Igirisa Siti Choirunnisa , Rachman Ellys , Gobel Lisda Van
Published: August 2023

This study aims to determine the inhibiting factors of the effectiveness of social rehabilitation by the National Narcotics Agency (BNN) Gorontalo City. The type of research used is Descriptive using a qualitative approach method, which refers to three Focus indicators, namely, Policy, Awareness of Former Users and Socialization. Research results show that: The social rehabilitation program carried out by the National Narcotics Agency of Gorontalo City has not been optimal. This is due to weak policies or programs related to social rehabilitation procedures during the Covid-19 pandemic, forcing patients to be unable to conduct direct counseling with BNN Gorontalo City Counselors, Lack of Awareness Level by Former Users in participating in social rehabilitation which has an impact on the patient's health level declining, and Lack of Maximum Socialization carried out by counselors to patients which has an impact on weak control over patients Social rehabilitation. Through this research, it is recommended to implementors to be able to further optimize the implementation of this rehabilitation program so that in the future the level of awareness of former drug users will increase. So that what is the goal to be free from narcotics is realized.
Politiek begrensde sociologie: Elchardus ge-reset
Authors: Knijn Trudie
Published: August 2023

Boekbespreking van Reset van Mark Elchardus.
Implications for Chondrule Formation Regions and Solar Nebula Magnetism from Statistical Reanalysis of Chondrule Paleomagnetism
Authors: Fu Roger R. , Steele Sarah C. , Simon Jacob B. , Teague Richard , Najita Joan , Rea David
Published: August 2023

Converging lines of evidence show that protoplanetary disks are complex environments hosting spatial and temporal variability at multiple scales. Here we reanalyze paleomagnetic estimates of solar nebula magnetic field strengths using a Bayesian framework that tests for recording bias due to chondrule motion and explicitly accounts for time-varying ambient fields. We find that LL and CO group chondrule paleointensities likely rotated during cooling (p = 0.79–0.99), validating assumptions in previous paleomagnetic studies. Chondrule rotation also suggests low gas density formation environments beyond 2 and 4 au for LL and CO chondrules, respectively. Our recomputed paleointensities for LL and CO chondrules imply either: (1) temporally constant magnetic fields of

34

−
14

+
36

μT and

106

−
18

+
88

μT, respectively; or (2) time-varying magnetic fields with peak amplitudes between

49

−
21

+
97

μT and

128

−
11

+
307

μT. Considering the known mechanisms for sustaining magnetic field gradients and high-amplitude temporal magnetic fluctuations in the solar nebula, we find that magnetic field flux concentrations in disk gaps or time-varying magnetic fields, for example due to the Hall shear instability, are most compatible with the existing data. Using this statistical framework, future paleointensity studies of chondrules can be used to directly test for the variability of magnetic fields in the solar system protoplanetary disk and to distinguish between these scenarios.
A rigidity result for $ 2 $-dimensional $ \lambda $-translators
Authors: Liu Jin , Wang Botao
Published: August 2023

In this paper, we will develop a different technique to study the rigidity of complete $ \lambda $-translators $ x:M^{2} \rightarrow \mathbb R^{3} $ with the non-zero constant gauss curvature in the Euclidean space $ \mathbb R^{3} $.
Infinity norm upper bounds for the inverse of $ {SDD_k} $ matrices
Authors: Wang Xiaodong , Wang Feng
Published: August 2023

In this paper, we introduce a new subclass of $ H $-matrices called $ {SDD_k} $ matrices, which contains $ {SDD} $ matrices and $ {SDD_1} $ matrices as special cases, and present some properties of $ {SDD_k} $ matrices. Based on these properties, we also provide new infinity norm bounds for the inverse of $ {SDD} $ matrices and $ {SDD_k} $ matrices. It is proved that these new bounds are better than some existing results in some cases. Numerical examples demonstrate the effectiveness of the obtained results.
Finite-time contraction stability of a stochastic reaction-diffusion dengue model with impulse and Markov switching
Authors: You Wei , Ren Jie , Zhang Qimin
Published: August 2023

From the perspective of prevention and treatment of dengue, it is important to minimize the number of infections within a limited time frame. That is, the study of finite time contraction stability (FTCS) of dengue system is a meaningful topic. This article proposes a dengue epidemic model with reaction-diffusion, impulse and Markov switching. By constructing an equivalent system, the well-posedness of the positive solution is proved. The main result is that sufficient conditions to guarantee the finite time contraction stability of the dengue model are acquired based on the average pulse interval method and the bounded pulse interval method. Furthermore, the numerical findings indicate the influences of impulse, control strategies and noise intensity on the FTCS.
Evaluation on sustainable development of fire safety management policies in smart cities based on big data
Authors: Qian Xiaodong
Published: August 2023

The fire safety management policy is the premise for city managers to master the urban fire safety situation and solve the urban fire safety problems. An excellent fire safety management policy can obtain the basic data of fire safety, analyze the existing problems and potential safety hazards, and provide targeted measures for urban fire safety management. At present, the traditional fire safety management policy has exposed many shortcomings, such as the lack of technical support for firefighting means, inaccurate fire data analysis, etc., which ultimately led to low fire extinguishing efficiency and wasted some human and material resources. In the context of smart cities, big data (BD) and artificial intelligence (AI) have gradually integrated into various fields of urban development. This paper studied the fire safety management policies of smart cities based on BD analysis method. First, it summarized the relationship among BD, AI and smart cities, then analyzed the limitations of traditional urban fire safety management models, and finally proposed new fire safety management methods based on BD, AI and sustainable development. This article analyzed the urban fire protection situation from January to June 2022 in Nanchang, and verified the effectiveness of the method proposed in this article. Research has shown that the new fire safety management policy has reduced the number of fires, improved fire extinguishing efficiency by 9.07%, reduced property damage and casualties, and has a high recognition of the method. This also provides a reference for the next step of BD's application in smart cities.
Socially Assisted Robotics as an Intervention for Children With Autism Spectrum Disorder
Authors: Watson Sandy White
Published: August 2023

In this chapter, the author introduces and expands upon the use of robots for social assistance with children who have autism spectrum disorders and other similar conditions. The social skills these robots can assist autistic children with are identified, and five specific robots (NAO, Milo, Kaspar, QTrobot, and Moxie) developed for use with autistic children are reviewed. Each robot is described in terms of specifications functionality and price, and a practical example of its use is also included. Additionally, advantages, disadvantages, and research-based outcomes are discussed.
Assistive Technology for Blindness and Visual Impairments
Authors: Finetti Michael , Luongo Nicole
Published: August 2023

This chapter will provide K-12 educators in regular and special education programs with an overview of the various assistive technology (AT) devices and services that can be used for students who are blind or have visual impairments. This chapter will include introductory information about blindness and visual impairments, including the causes, characteristics, types, prevalence, identification, assessment, and educational placement alternatives. The authors will introduce the student, environment, task, and tools (SETT) framework to identify a struggling student's learning needs and match those needs with the most appropriate assistive technology options. The chapter will cover the implementation of specific low-tech to high-tech AT devices, such as covered overlays, magnifying aids, vibrating pocket watches, large print backlit keyboards, electronic magnifiers, braille display devices, special optic glasses, and voice typing applications. Finally, this chapter will provide support organizations and resources for K-12 educators teaching in inclusive educational environments.
Using Assistive Technology to Promote High Leverage Practices
Authors: Rudinger Belinda , Jones Beth A. , Peterson-Ahmad Maria B. , Allen Tim
Published: August 2023

This chapter will focus on providing strategies that can be supported within educator preparation programs (EPPs) that can enhance the capacity of pre-service teachers to effectively integrate AT and HLPs to assist students academically and socially-emotionally. Specific topics in this chapter will include information related to preparation strategies that support student enhancement of academic, communication, social-emotional, and sensory strategies supported by explicit AT and HLPs. Teachers' knowledge of and their ease in using and helping their students use AT is key for appropriate and individualized support for students who have an IEP. In order for teachers to effectively support students and their individualized needs, however, teachers need to use pedagogical strategies that increasingly support students' access to learning, which can be strategically implemented through the use of high leverage practices (HLPs).
Perspective of the Application of New Technologies in the Business Activities in Rural Tourism
Authors: Vuković Predrag Miroslav , Ružičić Marija Mosurović
Published: August 2023

A characteristic of rural tourism is the physical distance between supply, which is located in rural areas, and demand, which is located in cities. The role of tourist intermediaries is to connect supply and demand. Tourism distribution channels are seen as a “bridge” between supply and demand and the role of intermediaries is precisely to find ways to facilitate the exchange process. The lack of ICT application can lead to a decrease in demand, a decrease in economic activities, and thus can negatively affect the development of certain areas. The authors will specify the necessary steps which will enable the improvement of business activities and the promotion of rural tourist destinations, both at the micro level, and at the macro level. The expectation is that this approach will increase the income and stop the negative trends burdening the life in rural areas (depopulation, population migration to urban centres, the decline in macroeconomic indicators, etc.) that are present not only in Serbia but also in other countries.
Territorial Identities and Gastronomy Tourism in the South Danube Region
Authors: Vörös Mihály László , Gačnik Aleš
Published: August 2023

The research study comprised by the book chapter investigates territorial identities and diversified features of the South-Danube region and presents a gastronomy tourism case study of an old culinary tradition of brewing and eating fish soup. This is not only a dish consumed with great frequency in the diet of local and regional residents but creates food offering and cooking demonstration of a summer gastronomy tourism festival organized every year in the town of Baja. In addition, this fish-dish is one of the most popular meals offered in almost every local and neighborhood restaurant's menu for tourist guests. The study covers short analysis on the healthiness of this dietary custom and highlights that this culinary feast and gastronomy tourism attraction also became a brand and cultural heritage which can contribute to enhance the image of the place and to promote sustainable development of gastronomy tourism.
Tourism Entrepreneurship in Innovation Sustainability
Authors: Rosário Albérico Travassos
Published: August 2023

The increasing wealth and economic development have dramatically driven rapid growth in the tourism industry, making it one of the fastest growing and developing industries worldwide. Tourism entrepreneurship should involve adopting a green business model innovation that is more efficient and leads to low carbon production to balance the needs of the tourists with those of their desired destinations. Despite sustainability being a core concept in current policies and trends in the last decade, most company managers in the tourism industry are yet to incorporate it into the agenda. Based on this research gap, a systematic review of the bibliometric literature was conducted, and data was synthesized from 80 documents identified through the Scopus indexation using. This chapter aims to evaluate the challenges and opportunities of innovation sustainability in tourism entrepreneurship, thus building a clear image of what should be done to overcome the obstacles and increase awareness of the need for sustainable tourism.
Mainstreaming ADDIE Methodology in ICT Integration Lesson Planning and Delivery
Authors: Roberts Leesha N.
Published: August 2023

This chapter introduced an ICT integrated planning model based on the tenets of ADDIE as a sustainable educational change instrument to assist in aligning policy intentions to school-level practice. The first section described the conceptual design process of the RRIR ICT Integration Model and its connection to ADDIE. The second section presents the steps of the Model. The third section provided an application of the model using a primary school context scenario. The fourth section outlined the evaluation of the model using focus groups, where teachers used it for a school term to understand the teachers' perceptions, where results suggested that teachers favored a practicable systematic ICT integration planning guide for ICT Integration. However, teachers had concerns about planning time, essential conditions in the school environment to accommodate ICT, and the gap between Government policy documents and what is occurring at the school level for ICT integration.
ELTE and CALL in the Arab Context
Authors: Alotumi Mohialdeen
Published: August 2023

This chapter presents the current situation of English as a foreign language (EFL) teaching and learning across the Arab world. It highlights the central role that English language teacher education (ELTE) plays in EFL development in Arab settings. Then, it discusses some English language teaching challenges and the need for urgent changes in ELTE programs regarding technology training. Besides describing a generic CALL training model for ELTE, it provides an overview of contemporary trends in CALL teacher education. Further, it elaborates on current CALL research across Arab-world ELTE programs, echoing the significance of integrating EFL TPACK to develop student teachers' knowledge and skills for prospective professional practice. Moreover, it highlights major issues of CALL integration in the Arab context and proposes suggestions for effective CALL integration. Additionally, it elaborates on the CALL curriculum, dissecting guidelines for developing a CALL course in ELTE programs and putting forward a syllabus for an ELTE CALL course.
A Review of Integration of Environment Education Into Teacher Preparation Programs
Authors: Bladow Jenny
Published: August 2023

Compared to previous generations, children today spend less time outdoors interacting with nature and all it offers. The current leisure trends are encompassed in technology as it becomes more accessible to children. Perhaps there is a way to bring back the importance of nature and intertwine environmental education concepts into teacher preparation programs. In that case, there is hope for future generations of children to reap the benefits of nature and more community members who are environmentally literate. This chapter reviews the importance of incorporating environmental education into teacher preparation. The review of literature also discusses common approaches to addressing the current gap in environmental education implementation along with barriers that have been encountered.
Stock Market Analysis and Prediction Using ARIMA, Facebook Prophet, and Stacked Long Short-Term Memory Recurrent Neural Network
Authors: R Parvathi , Yuan Xiaohui
Published: August 2023

Stock analysis involves comparing a company's current financial statement to its financial statements in previous years to give an investor a sense of whether the company is growing, stable, or deteriorating. Stock market analysis helps in getting insights into a company's stock and to make better decisions in buying or selling shares in the stock market. This chapter proposes a method to analyze and predict stock market prices based on historical data of 4 MNCs namely, Amazon, Apple, Google, and Microsoft. The prediction is implemented using three models; namely, ARIMA model, Facebook's Prophet model, and lastly a self-constructed, stacked LSTM model. The results of the three models are compared and analyzed. Mean absolute error is used to analyze the performance of the models on real-time test data. The minimum loss achieved by Facebook Prophet Model is 2.445, by ARIMA Model is 10.782, and the Stacked LSTM Model achieved a minimum loss of 6.552.
A Conceptual Model Development of COVID-19's Impact on Bangladeshi Faculty Member's Psychological Wellbeing
Authors: Moniea Hamida Mosharraf , Miah Mohammad Khasro , Tarannum Tasnim , Osegueda Carlos M.
Published: August 2023

The novel coronavirus, Covid-19, made its initial appearance in Wuhan, China, in December 2019. Since then, the virus has spread quickly over the globe and has been regarded as one of the deadliest pandemics. This study establishes a framework developed to identify and understand the role of specific central determinants of the psychological effects that the response to Covid-19 has had on Bangladeshi faculty members. An in-depth interview of 20 faculty members of Bangladeshi public and private universities provides acumen and guidance into the motives, strategic opportunities, and constraints of this research. The current study provides future implications of the vital distinctive facets of different contingent and contextual variables' influence on mental well-being, revealing a new avenue for developing a ground-breaking theory.
A Twin-Track Approach for Informal Settlements Restructuring in Response to the Impact of COVID-19
Authors: Rahmoun Tarek Fouad , Hassan Maya , Naddeh Ali
Published: August 2023

The impact of epidemics on urban restructuring is one of the most critical planning issues. This chapter presents a twin-track approach to intervention in the informal housing areas in Syria after investigating the ability to face the impact of Covid-19 epidemic. The informal housing “al-Radar” area in Tartous City was adopted as a case study. Both qualitative and quantitative methods were used for a multi-dimensional analysis of gathered data and site planning aspects. The goals are to achieve participatory decision-making to guide area restructuring aligned with national urban development laws. In addition, laying down the foundation of an area plan for future on-site redevelopment considers community cohesion and land-use improvements. Results illustrated the poor traditional planning criteria efficiency in achieving urban resilience/immunity required for a “new normal” and the need for good governance in land administration utilizing 15-minute city principles and a street-led citywide approach for the full integration into the city system as a tool to promote sustainable development.
A Study of Machine Learning Methods-Based Affective Disorders Detection Using Multi-Class Classification
Authors: Tungana Bhavya , Reddy C. Kishor Kumar , Hanafiah Marlia Mohd , Doss Srinath
Published: August 2023

Psychological health issues like stress, anxiety and depression is becoming general due to various factors. Different severity levels of stress, anxiety and depression have varied impacts on people, which can lead to suicidal ideation and suicide attempts. Demographic data consists of gender, age group, marital status, education, type of employment, economic status, and living status, and 21 questions about stress, anxiety, and depression, including scores, were considered for the dataset. The proposed K-nearest neighbor model achieved maximum accuracy with 94.5% for stress and anxiety and 97.7% for depression, compared with Naive Bayes, 81.8%, 81.5%, and 83.5% as minimum accuracy for stress, anxiety, and depression, respectively, as compared with other models.
Extraction and Matching of Fingerprint Features
Authors: Thottempudi Pardhu , Deevi Nagesh
Published: August 2023

The main objective of the project is to implement fingerprint recognition because it is one of the most popular and reliable methods for human identification and because it makes use of minutiae, which are unique features found in fingerprints. The fingerprint is another type of biometric that is employed to recognize individuals and verify their identities. Extraction of information from fingerprint scans is among the most important steps in fingerprint recognition and classification. The proposed approach for the project relies on utilizing a variety of methods and algorithms to identify fingerprints using the ROI method (i.e., threshold & centroid algorithm). Two human fingerprints can be compared using ROI to determine which has more detail. The main method for highlighting the minute details of the sample fingerprint's fingerprint is FFT extraction. A percentage score is produced as a result of the minute data, and it indicates whether or not two fingerprints match. It was written in MATLAB code.
Empowering Health With an Advanced Multi-Disease Prediction System and Medical Encyclopaedia
Authors: Paul Souradeep , Pal Swagata , Ghosh Lidia
Published: August 2023

Disease prediction is vital for effective treatment decisions in healthcare organizations. This work focuses on predicting multiple diseases using an improvised Machine Learning concept called 'Apna Clinic.' The system analyzes patient health records to forecast diseases like diabetes, breast cancer, heart disease, kidney disease, and liver disease using data normalization and weighted feature extraction. Comparison with existing models and comprehensive error analysis ensure accurate predictions. The behavior model is stored and deployed via the Flask API, enabling reliable functionality. Users access the system, submit disease parameters, and receive their health status. The analysis helps identify serious diseases, monitor patients, and provide timely warnings or suggestions for treatment. In acute cases, the system locates specialized doctors nearby. Additionally, a disease compendium with information on symptoms, prevention, and treatment is provided. The aim is to enhance treatment decisions, empower individuals, and facilitate proactive healthcare actions.
ID-Based Cryptography and Attribute-Based Cryptography
Authors: Das Malabika , Chakraborty Rajdeep , Banerjee Chandan
Published: August 2023

Identity and attribute-based cryptosystems have now become the most interesting research area in cryptography. Id-based and attribute-based cryptography both are improved variants of public-key cryptography. The identity-based cryptography is based on the identity of the user, such as email address, IP address, or mobile number. On the other hand, in attribute-based cryptography users encrypt and decrypt the message based on their attributes. Both IBE and ABE are based on mathematical concepts like Integer factorization, Quadratic Residues, Discrete logarithm Problems, Diffie-Hellman problems, and Bilinear pairings. IBE allows users to encrypt and decrypt messages using their identities whereas ABE provides fine-grain access control, it allows organizations and individuals to access data based on specific attributes or properties. IBE and ABE have various applications in cloud computing, digital signatures, and secure data sharing in IoT. Most ABE schemes based on access structure can be categorized as Key-Policy ABE (KP-ABE) and ciphertext-based ABE (CP-ABE).
Angola no pós-guerra civil sob o olhar de Kiluanje Liberdade e Ondjaki: Oxalá cresçam pitangas (Histórias de Luanda)
Authors: Almeida Santos Antonio Cesar de , Wagner Ana Paula
Published: August 2023

Neste artigo discutimos a narrativa fílmica do documentário Oxalá cresçam pitangas: histórias de Luanda, produção angolana lançada em 2006. Apresentamos as representações construídas por pessoas que prestam depoimentos sobre temas propostos pelos realizadores do filme, os quais, ao destacarem aspectos da vida cotidiana de Luanda, no contexto pós-guerra civil, indicam suas expectativas em relação àquela cidade e ao país. Ao produzirmos um exercício de mediação entre filme e os leitores deste texto, à medida que estes entram em contato com a narrativa fílmica por nosso intermédio, torna-se possível apreender os significados atribuídos por aqueles que o realizaram.
Health-related quality of life and its predicting factors among male oral cancer survivors in Sri Lanka: A cross sectional study
Authors: Fernando Madara , Weththasinghe Maheshika , Wanigasekara Dushanthi , Chandrathilaka Anjalee , Dissanayaka Samith , Withana Deshitha , Karunathilaka Nimantha , Amarasekara Thamara
Published: August 2023

Introduction: Health-related quality of life (QoL) and its predicting factors for oral cancer survivors are varied and little evidence is available in Sri Lanka. This descriptive cross-sectional study aimed to assess the QoL and its predicting factors of male oral cancer survivors.Methods: The study was conducted at Apeksha Hospital (National Cancer Institute, Sri Lanka) from June to December 2018 for a period of six months. QoL of 295 oral cancer survivors was assessed using the WHOQoL-BREF questionnaire. The range of QoL score is from 0 to 100 and higher the score, higher the level of QoL Socio-demographic and disease-specific characteristics were considered as predicting factors for QoL and Multiple linear regression was performed to determine the predicting factors. The significant level was kept as p<0.05.Results: The mean score of QoL was averaged among all domains of WHOQoL-BREF questionnaire, which was depicted as 51.9±15, 52.3±19, 49.5±22 and 59.2±16 in Physical, Psychological, Social Relationship and Environment domains respectively. The number of years from diagnosis, metastasis, cancer stage and cancer site were the predictors of the physical health domain while employment status, metastasis, cancer stage and duration of betel chewing for the psychological domain (p<0.05). Age, education status, monthly income, metastasis, and duration of alcohol consumption were identified as the significant predictors of social relationships while employment, monthly income, metastasis, and duration of betel chewing were predictors of the environment domain (p<0.05).Conclusions: The study revealed that QoL of all domains were around average, but each QoL domain has different predicting factors. Therefore, consideration of these predicting factors are immensely helpful to enhance the QoL of these survivors.
Changing frontiers of cancer care ........ Towards prevention and focused personalised care
Authors: Goonesinghe Satish K. , Waidyarathne Eisha I.
Published: August 2023

No abstract available
Post-iodination trends in thyroid pathology; 14-year experience at a single center in a goitre endemic area
Authors: Mudduwa Lakmini , Liyanage Thusharie , Mudduwa Yamuna , Abeysiriwardhana Deepthika , Liyanage Ajith
Published: August 2023

Introduction: Goitre is endemic in many parts of Sri Lanka. Universal iodination of salt was commenced in Sri Lanka in 1995 as a measure to reduce the prevalence. This study was designed to identify the pattern of thyroid pathology reported during a period of 14 years from 2002 to 2015 in a Pathology Unit serving the population in a goitre endemic area in Sri Lanka.Methods: This descriptive cross-sectional study included all thyroidectomy specimens histologically assessed at our unit from 2002 to 2015. Data on age, gender, clinical presentation, type of resection, and histopathological diagnosis were retrieved from the records. The trend of change in thyroid pathology over time was analysed by comparing 2002-2010 cohort (615specimens) with the 2011-2015 cohort (995 specimens).Results: This study included 1610 thyroidectomy specimens. Features of colloid goitre were present in 71.6% (1152/1610). Prevalence of chronic autoimmune thyroiditis and thyroid cancer was 41% (660/1610) and 15.3% (246/1610) respectively. There was no significant change in the gender and the age at presentation over the years. However, an upward trend in the prevalence of both focal and diffuse chronic autoimmune thyroiditis (p<0.001), hyperplastic nodules (p=0.008), papillary microcarcinoma (p<0.001), papillary carcinoma and colloid nodular goitre (p=0.004) was evident.Conclusions: Parallel increase in the prevalence of chronic autoimmune thyroiditis and papillary carcinoma together with the upward trend in the prevalence of colloid nodular goiter was evident.
Asian herbal medicine for atopic dermatitis: a systematic review
Authors: Limantara Nikko Vanda , Sadono Ronggo , Widhiati Suci , Danarti Retno
Published: August 2023

Asian herbal medicines have been known for decades, and some have been used to treat atopic dermatitis (AD). This chronic and persistent inflammatory skin condition causes severe morbidity and negatively impacts the quality of life. In numerous trials, traditional Chinese medicines have demonstrated clinical efficacy for AD. However, there has not been a well-documented summary of the wide variety of Asian herbal medicine used in treating AD. We aimed to summarize the Asian herbal medicine being used in AD systematically. An English-language literature search was performed in three electronic medical databases: PubMed, Cochrane Library, and EBSCOhost using keywords (("atopic dermatitis" OR "atopic eczema") AND ("traditional" OR "herbal")) and was limited to references published between January 2015 and December 2022. The literature comprised newborns, infants, children, adolescent, and adults. The review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension to determine the scope of the review criteria. The content and inclusiveness of the search were filtered using MeSH/Emtree terms, keywords, titles, and abstracts. 13 articles (12 RCT and one clinical trial) reported a variety of herbal medicine compounds to treat AD with various efficacy. Most studies reported significant improvement when comparing the herbal medicine with a placebo, but only 1 study reported substantial improvement of SCORAD compared to corticosteroids. Asian herbal medicines have been studied and may be used as an alternative treatment in treating AD with fewer adverse effects. However, its role did not change the position of standard treatment in treating atopic dermatitis.
Cerebral venous outflow abnormalities and inner ear: an underestimated piece of the puzzle?
Authors: Migliorelli Andrea , Ciorba Andrea
Published: August 2023

Not available.
The Relationship between Chronic Musculoskeletal Pain and Sarcopenia Risk in Community-Dwelling Older Adults: A Cross-Sectional Study
Authors: Sahin Ulku Kezban , Şentürk Aysun Yağci
Published: August 2023

Background: This study aimed to better understand the relationship between chronic musculoskeletal pain and the risk of sarcopenia in older adults. Methods: The risk of sarcopenia was assessed in 210 older adults using the SARC-F (strength, assistance with walking, rising from a chair, ascending stairs, and falls) questionnaire. Geriatric pain measures were used to assess pain. We also recorded the pain sites (ankles/feet, wrists/hands, upper back, lower back, neck, shoulder, hips, and knees). Results: Participant mean age was 72.4±7 years, and 109 (51.9%) of the participants were female. The prevalence rates of sarcopenia and chronic musculoskeletal pain were 60% and 92.9%, respectively. Older adults at risk of sarcopenia had a higher mean age, body mass index (BMI), number of comorbidities and falls, presence of chronic pain, pain intensity, and pain sites. Sarcopenia risk was correlated with chronic pain intensity (current and last 7 days) (r=0.506, p<0.001 and r=0.584, p< 0.001, respectively), multisite pain (r=0.442, p< 0.001), and Geriatric Pain Measure score (r=0.730; p< 0.001). Age (odds ratio [OR]=1.1; 95% confidence interval [CI], 1.0–1.2), BMI (OR=1.1; 95% CI, 1.0–1.2), and geriatric pain (OR=1.1; 95% Cl, 1.0–1.1) were associated with sarcopenia risk.Conclusions: The risk of sarcopenia is linked to chronic pain, which frequently occurs in geriatric populations. Our study results also showed that higher pain intensity was associated with a higher risk of sarcopenia. Older adults at risk for sarcopenia often experience chronic musculoskeletal pain, which must be better recognized. Moreover, its significance must be noted in the treatment process.
The Risk Factors of COVID-19 Infection and Mortality among Older Adults in South Korea
Authors: Lee Sungmin , Park Jungha , Lee Jae-ryun , Lee Jin Yong , Kim Byung sung , Won Chang Won , Lee Hyejin , Kim Sunyoung
Published: August 2023

Background: This study aimed to identify the risk factors associated with coronavirus disease 2019 (COVID-19) infection and mortality among older adults in South Korea. Methods: Using Korean National Health Insurance data from January 1, 2020, to March 31, 2022, we analyzed the impact of various factors, including age, comorbidity burden, and insurance type, on COVID-19 infection and mortality rates. Results: Age was the most significant risk factor for mortality in older adults. A higher comorbidity burden was also associated with increased infection (odds ratio [OR]=1.33 for Charlson Comorbidity Index [CCI] ≥2, 95% confidence interval [CI] 1.321–1.339) and mortality (OR=1.537 for CCI ≥2, 95% CI 1.459–1.618) rates. While Medical Aid recipients exhibited lower infection rates (OR=0.898, 95% CI 0.89–0.906) than National Health Insurance beneficiaries, they had higher mortality rates (OR=1.692, 95% CI 1.623–1.763). Conclusion: These results emphasized the need to prioritize vaccination and allocate healthcare resources for older adults, particularly those with multiple comorbidities. Addressing socioeconomic disparities and ensuring equitable access to testing and healthcare services are crucial for mitigating the impact of COVID-19 on older adults.
Access to and Use of Hand Hygiene Resources during the COVID-19 Pandemic in Two Districts in Uganda, January–April 2021
Authors: Pratt Caroline , Kesande Maureen , Tusabe Fred , Medley Alexandra , Prentice-Mott Graeme , Lozier Matthew , Trinies Victoria , Yapswale Sauda , Nabatyanga Stella , Isabirye Herbert , Lamorde Mohammed , Berendes David
Published: August 2023

To understand access to and use of hand hygiene in healthcare facilities (HCFs) and community locations during the COVID-19 pandemic, we evaluated factors associated with hand hygiene in 60 priority HCFs and community locations in two border districts in Uganda. We assessed water and hand hygiene resource availability and observed hand hygiene practice by staff or patrons. Regression modeling estimated factors associated with the availability or use of hand hygiene. In HCFs, most inpatient (61%), outpatient (71%), and laboratory or staff (90%) rooms contained hand hygiene materials. Only 38% of community locations had hand hygiene materials at all entrances and exits, 35% of congregation areas had hand hygiene materials. Overall, 38% of healthcare staff, 48% of patrons post-latrine use, and 21% of patrons entering or exiting community locations practiced hand hygiene. HCF hand hygiene access was lower in inpatient rooms (odds ratio [OR] = 0.17, 95% CI: 0.06–0.45) and outpatient rooms (OR = 0.23, 95% CI: 0.07–0.70) compared with laboratory/staff rooms. HCF hand hygiene practice was higher for doctors than nurses (OR = 3.58, 95% CI: 1.15–11.14) and with new versus existing patient encounters (OR = 2.27, 95% CI: 1.20–4.27); it was lower before versus after patient contact for both invasive (OR = 0.03, 95% CI: 0.00–0.20) and noninvasive (OR = 0.66, 95% CI: 0.45–0.95) procedures. In community settings, hand hygiene practice after using the latrine was higher than at an entrances/exits (OR = 3.39, 95% CI: 2.08–5.52). Hand hygiene rates were relatively low in healthcare and community settings. Greater emphasis on hand hygiene before patient interactions (at HCFs) and at community entrances/exits for patrons is also needed.
A Joint Work to Develop a Predictive 1D Modelling Approach for Heavy Duty Gaseous Fueled Engines through Experiments and 3D CFD Simulations
Authors: Fraioli Valentina , Di Maio Dario , Napolitano Pierpaolo , Lanni Davide , D'Antuono Gabriele , Galloni Enzo , Callu Cyrille , Maestro Dario
Published: August 2023

The present paper reports experimental and numerical research activities devoted to deeply characterize the behavior and performance of a Heavy Duty (HD) internal combustion engine fed by compressed natural gas (CNG). Current research interest in HD engines fed by gaseous fuels with low C/H ratios is related to the well-known potential of such fuels in reducing carbon dioxide emissions, combined to extremely low particulate matter emissions too. Moreover, methane, the main CNG component, can be produced through alternative processes relying on renewable sources, or in the next future replaced by methane/H2 blends.

The final goal of the presented investigations is the development of a predictive 0D combustion submodel within the framework of a 1D numerical simulation platform. To this aim, an experimental campaign has been carried out on a six-cylinder HD spark ignition engine CNG engine, Euro VI d compliant, typically employed in road vehicle applications, at the test bench, in order to build a comprehensive and extended database. The experimental characterization was necessary not only to have a defined picture of the engine behavior, but also to provide the required initial and boundary conditions and a consistent dataset for 1D and 3D models validation.

Then, full-cycle 3D CFD numerical simulations have been carried out, reproducing all the engine phases of a selected cylinder: it has thus been possible to further enrich the set of information regarding main fluid-dynamic features of the investigated geometry and corresponding combustion evolution. At the same time, a 1D model of the full engine layout has been built. At first, it was preliminary calibrated and validated through a non-predictive combustion submodel (Three Pressure Analysis approach). Finally, relying on experimental and predicted data, including global swirl ratio temporal evolution, turbulent intensity and length scale, it has been possible to set up a predictive modelling approach, capable of suitably reproducing pressure profiles and flow rates in various engine operating conditions.
Development and Evaluation of the Predictive Capabilities of a Dual-Fuel Combustion Model with Methanol or Hydrogen in a Medium Speed Large Bore Engine
Authors: Dierickx Jeroen , Mattheeuws Luc , Christianen Koen , Stenzel Karsten , Verhelst Sebastian
Published: August 2023

To mitigate climate change, it is essential that sustainable technologies emerge in the transport industry. One viable solution is the use of methanol or hydrogen combined with internal combustion engines (ICEs). The dual-fuel technology in particular, in which a diesel pilot ignites port fuel injected methanol or hydrogen, is of great interest to transition from diesel engines to ICEs using purely these fuels. This approach allows for a significant portion of fossil diesel to be replaced with sustainable methanol or hydrogen, while maintaining high efficiencies and the possibility to run solely on diesel if required. Additionally, lower engine-out pollutant emissions (NOx, soot) are produced. Although multiple experimental research results are available, numerical literature on both fuels in dual-fuel mode is scarce. Therefore, this study aims to develop a multi-zone dual-fuel combustion model for engine simulations. The model incorporates and describes specific sub-models for ignition delay, and laminar and turbulent burning velocities, as traditional compression or spark ignition sub-models fail in dual-fuel mode. The predictive results of the simulation model are then compared to measurements, particularly, evaluating the accuracy in engine performance parameters such as in-cylinder pressure and temperature, ignition delay and combustion phasing. It was found that the simulation model predicts well the ignition delay, the in-cylinder pressure and temperature, and the heat release rate, except for the tail of the combustion where it systematically overestimates the end of combustion. To optimize the predictive simulation model further, investigation is required into the dual-fuel combustion mode, including the evolution of the flame entrainment area, dual-fuel combustion coupling terms, and heat released by each combustion mode during a combustion cycle.
Computational Assessment of Ammonia as a Fuel for Light-Duty SI Engines
Authors: Silva Mickael , Almatrafi Fahad , Uddeen Kalim , Cenker Emre , Sim Jaeheon , Younes Mourad , Jamal Aqil , Guiberti Thibault , Turner James , Im Hong
Published: August 2023

To understand key practical aspects of ammonia as a fuel for internal combustion engines, three-dimensional computational fluid dynamics (CFD) simulations were performed using CONVERGETM. A light-duty single-cylinder research engine with a geometrical compression ratio of 11.5 and a conventional pentroof combustion chamber was experimentally operated at stoichiometry. The fumigated ammonia was introduced at the intake plenum. Upon model validation, additional sensitivity analysis was performed. The combustion was modeled using a detailed chemistry solver (SAGE), and the ammonia oxidation was computed from a 38-specie and 262-reaction chemical reaction mechanism. Three different piston shapes were assessed, and it was found that the near-spark flow field associated with the piston design in combination with the tumble motion promotes faster combustion and yields enhanced engine performance. The simulation results suggest that operating an engine with ammonia requires substantial spark advancement because its combustion duration is significantly longer relative to conventional hydrocarbon fuels as a result of its low laminar burning velocity. Tradeoffs between combustion efficiency and NOx, and thermal and combustion efficiencies were observed. Moreover, as the engine speed was increased, further spark advancement was needed as the physical time for combustion development is shorter. Ultimately, it was demonstrated that simultaneous optimization of operating conditions and piston design can provide appreciable gains in combustion and thermal efficiencies.