bluuebunny/crossref_metadata_2025 huggingface dataset:
Early extensional salt tectonics controls deep-water sediment dispersal
Authors: Oppo Davide , Jackson Christopher , Maselli Vittorio
Published: February 2024

The impact of seafloor deformation on sediment routing during the initial phases of extensional salt tectonics is largely unresolved despite influencing the volume of coarse-grained clastic material delivered to the deep sea. Using 3D seismic reflection data from the northern Levant Basin offshore Lebanon, we investigate the interplay between early extension-related salt deformation and deep-water sediment dispersal. Our results indicate that slope-parallel faults favor early sediment transfer to the abyssal plain. In contrast, slope-normal faults and ramp-syncline basins create significant accommodation, trapping deep-water channels at the base-of-slope and delaying coarse sediment transfer to the abyssal plain. These results help refine source-to-sink models of turbidite systems developing in young salt basins and highlight the crucial role of extensional tectonics in the early stages of basin development, emphasizing the impact of fault strike, ramp-syncline basin evolution, and salt welding on deep-water sediment routing. Our study increases the understanding of sediment transfer in young, evolving salt basins and has significant implications for predicting deep-water stratigraphy in mature, more structurally complex basins.
Positive and negative facial valence perception are modulated differently by eccentricity in the parafovea: Replication from KDEF to NimStim
Authors: Akselevich Vasilisa , Gilaie-Dotan Sharon
Published: February 2024

While perceiving the emotional state of others may be crucial for our behavior even when this information is present outside of central vision, emotion perception studies typically focus on central visual field. We have recently investigated emotional valence (pleasantness) perception across the parafovea (≤4°) and found that for briefly presented (200ms) emotional face images (from the established KDEF image-set), positive (happy) valence was the least affected by eccentricity (distance from the central visual field) and negative (fearful) valence the most. Furthermore, we found that performance at 2° predicted performance at 4°. Here we tested (n=37) whether these effects replicate with face stimuli of different identities from a different well-established image-set (NimStim). All our prior findings replicated and eccentricity-based modulation magnitude was smaller with NimStim (~16.6% accuracy reduction at 4°) than with KDEF stimuli (~27.3% reduction). Our current investigations support our earlier findings that for briefly presented parafoveal stimuli, positive and negative valence perception are differently affected by eccentricity and may be dissociated. Furthermore, our results highlight the importance of investigating emotions beyond central vision and demonstrate commonalities and differences across different image sets in the parafovea, emphasizing the contribution of replication studies to substantiate our knowledge about perceptual mechanisms.
How Effective Are Fact-checks in Pakistan and Who Engages with Them?
Authors: Ejaz Waqas , Altay Sacha , Ittefaq Muhammad
Published: February 2024

For fact-checks to be effective, they must first and foremost reach people. Yet, little is known about what determines engagement with fact-checks and how to enhance their reach. We conducted a pre-registered online survey experiment in Pakistan (N participants = 302, N observations = 1208) investigating the effectiveness of fact-checking, and the determinants of engagement with fact-checks and misinformation. We found that fact-checking reduced misperceptions, especially among the most misinformed. Trust was an important moderator of the effectiveness of fact-checking and of engagement with the fact-checks and misinformation. For instance, fact-checks were more effective among participants who trust the news the most and least effective among participants who trust social media the most. Participants more concerned about misinformation were more likely to like and share fact-checks on social media. Understanding and promoting engagement with factual corrections on social media is a pressing challenge to increase the quality of our information ecosystem.
The Performance of Local Governments in Kaligandaki Rural Municipality of Syangja District, Nepal: An Assessment
Authors: Dahal Girdhari
Published: February 2024

Since the establishment of the Federal Democratic Republic of Nepal, the Constitution of Nepal 2015 has given the local governments a great deal of power and authority. Consequently, a lot of changes have been noticed in most of the local levels. The present study is about the performance level of local government of Kaligandaki Rural Municipality of Syangja District in Gandaki Province, Nepal. The main issues and objectives that encouraged this study are to identify the types of achievement the local government has made during its tenure from 2017 to 2022, and to explain how it has accomplished the performance. The government has carried out different development activities related to public goodness in the study area. The activities related to passing and enacting laws, and improving education, drinking water, health care, insurance, farming, roads, irrigation, job opportunities and people’s increased participation in decision-making level have been successfully implemented. The study demonstrates that the local leaders of this municipality have accomplished their tasks among the grassroots by encompassing inclusive development models. The findings of the study conclude that besides exercising democratic practice and democratic institutionalization, the local government has displays high level of performance regarding local development in this rural municipality, and this performance indicates the significance of empowering local levels in Nepal.
Review on the Application of Machine Learning Algorithms on Smart Grid Optimization
Authors: Niraula Mani , Ojha Prabesh Raj , Simkhada Sunil , Layalu Yogesh
Published: February 2024

With the increasing challenge of distributed and renewable energy sources, maintaining the stability of the power grid is becoming increasingly difficult. By incorporating information and communication technologies, along with machine intelligence, the conventional power grid has the potential to evolve into a smart grid. The integration of machine learning equips the smart grid to make its decisions and efficiently handle generation, power outages, transmission line failures, unforeseen shifts in customer demands, overall fluctuations in renewable energy production, or any unexpected catastrophic events. These diverse machine-learning algorithms play a crucial role in enhancing the functionality of smart grids, contributing to their optimization. This article examines various machine learning algorithms and approaches designed to optimize the responsiveness of each facet of smart grid optimization.
Employee Attendance System with Facial Recognition Technology Using a Single Shot Detector (SSD) Algorithm
Authors: Djohari Riyandi Dwitama , Ngemba Hajra Rasmita , Hendra Syaiful , Angraeni Dwi Shinta , Lapatta Nouval Trezandy , Nugraha Deny Wiria
Published: February 2024

The attendance system is an important thing that is used to assess employee performance. Currently, many companies or organizations have developed attendance systems, but there are still many organizations that have not optimized attendance with a reliable system. This happens at the Palu City Tourism Office, where attendance still uses manual recording in album books. Many problems occur with the manual attendance process, so it is necessary to create an attendance system. This research aims to help the Palu City Tourism Office for attendance management by using face recognition technology using the Single Shot Detector (SSD) algorithm. The system development model uses Waterfall. This research uses 20 different facial poses with four people each with 5 poses. This research uses javascript programming language, Next JS framework, tailwind CSS, PostgreSQL database, and face-api.js library. Tests carried out with blackbox results all features on the system function properly then based on the results of face detection testing, the test results obtained that the Single Shot Detector algorithm can detect facial images recorded on the camera quickly and accurately in medium and bright lighting with a distance of 40-80 cm.  The result of this research is a system that can recognize faces well by matching the training data image with the face image recorded on the camera in realtime
Analysis Of The Role Of Blockchain Technology In Recording Motor Vehicle Ownership Data
Authors: Santoso Ahmad Imam , Zarlis Muhammad , Mawengkang Herman
Published: February 2024

The importance of the role of motor vehicles in human life is revealed through its transformation from a tertiary need to a secondary one. In Indonesia, the number of motor vehicles reached 136.191 million units in 2020, prompting the government to regulate registration and identification through Presidential Regulation No. 5 of 2015. This research addresses issues related to motor vehicle administration in Indonesia, focusing on transparency, data integrity, and information availability. Inspired by the rapid growth in the number of motor vehicles and the increasing cases of theft, this research aims to design and implement an innovative motor vehicle ownership recording system using blockchain technology. This approach aims to enhance the accessibility of information on the origin and ownership of vehicles or Vehicle Registration Numbers (VRN), which is currently limited in both manual and online forms. The research methodology involves the design and implementation of blockchain technology, tested to verify its effectiveness in achieving transparency and data security goals. The research results indicate that this system can provide more comprehensive and distributed information to the general public, overcoming the limitations of centralized systems. The conclusion of this research affirms that the application of blockchain technology can be an innovative and effective solution to improve motor vehicle administration. The implications of this research include increased efficiency, security, and availability of information in handling vehicle administration, potentially having a positive impact on the general public and related industries
Analyzing Node Density Impact on End-to-End Delay and Throughput in Mobile Ad hoc Network Video Conferencing Services
Authors: Kango Riklan , Jamal Nurwahidah , Ihsan
Published: February 2024

Video conferencing services have gained significant popularity in recent years, enabling real-time communication and collaboration among individuals and groups. However, the performance of video conferencing systems over MANETs poses challenges of topology fluctuations and node density. This research paper aims to present an analysis of end-to-end delay and throughput in video conferencing over MANETs. The main objective is to identify the impact of node density in MANETs on video conferencing user experience. To conduct the study, an experimental setup of Zoom cloud meeting service was designed, consisting of a simulated MANET environment and a video conferencing application. End-to-end delay and throughput were measured via Wireshark software based on interconnected node scenarios and different configurations at densities of 2 and 4 nodes. The collected data was analyzed using appropriate statistical techniques to identify trends, patterns. The end-to-end delay analysis results revealed the impact of fluctuating network density conditions, on the overall delay experienced during the video conferencing session increased by 27%. While throughput analysis revealed a 65% decrease in data transfer capacity caused by higher packet loss factor in MANET. The integrated analysis explores the relationship between end-to-end delay and throughput, providing insight into optimization strategies. These findings can guide the design and implementation of more efficient and reliable video conferencing systems in mobile ad-hoc environments, In the face of fluctuations in node density, these findings can encourage the development of QoS mechanisms specifically designed for MANETs. These mechanisms can prioritize video packets and allocate network resources effectively, ensuring better user experience and overcoming resource constraints
Perancangan Program Pengaduan Masyarakat Berbasis Website Di RW.001 Kelurahan Sunter Jaya Jakarta
Authors: Agustriwahyu Prasetya Muhammad Erlangga , Al Kaafi Ahmad
Published: February 2024

RW.001 Kelurahan Sunter Jaya di Kota Jakarta Utara saat ini belum menggunakan teknologi informasi dalam proses pelayanan publik kepada masyarakat. Hal ini juga mengakibatkan masyarakat harus bolak-balik ke Kantor RW.001. Untuk mengatasi permasalahan tersebut, dibuatlah sebuah program pengaduan masyarakat berbasis website. Dengan program pengaduan masyarakat berbasis website, masyarakat dapat dengan mudah mengajukan keluhan tanpa harus datang ke Kantor RW.001. Untuk perancangan program Pengaduan Masyarakat berbasis Web ini menggunakan metode Waterfall. Model ini menggambarkan pendekatan sistematis dan berurutan pada pengembangan perangkat lunak. Metode Waterfall terdiri dari beberapa tahapan, yaitu: Requirement Analysis, System and Software Design, Implementation and Unit Testing, Integration and System Testing, Operation and Maintenance. Aplikasi ini dapat memudahkan masyarakat untuk melaporkan kegiatan atau kejadian. Sistem ini juga memberikan kemudahan bagi pihak RW.001 Sunter Jaya dalam menampung aduan dari masyarakat dan menjalankan tindak lanjut terhadap aduan tersebut Perancangan program pengaduan masyarakat berbasis website memberikan kemudahan bagi masyarakat untuk melaporkan kegiatan atau kejadian secara online, mengurangi penggunaan kertas sebagai media pelaporan. Sistem ini juga memberikan kemudahan bagi pihak berwenang dalam menampung aduan, meningkatkan transparansi penanganan aduan, dan menjaga keamanan data pengaduan. Dengan demikian, program ini memberikan solusi efektif dalam meningkatkan aksesibilitas, efisiensi, dan akuntabilitas dalam pengaduan masyarakat.
Digitalisasi Pelayanan Pos Pembinaan Terpadu Berbasis Android Untuk Peningkatan Kualitas Kesehatan Masyarakat
Authors: Yuliana Arief Dwi , Sancoko Sulistyo Dwi
Published: February 2024

Posbindu Desa Ringinsari merupakan suatu bentuk pelayanan yang melibatkan peran serta masyarakat untuk mendeteksi dan mengendalikan secara dini faktor  risiko  PTM  secara  terpadu  yang  berlokasi  di  Desa  Ringinsari, Maguwoharjo, Kecamatan  Depok,  Kabupaten Sleman. Dalam pelayanannya Posbindu masih menggunakan cara manual yaitu menggunakan kertas atau buku sebagai media penyimpanan data. Dengan pelayanan tersebut masih memiliki kelemahan  yaitu belum adanya backup data sehingga rentan terjadi kehilangan data. Dengan demikian muncul sebuah ide untuk mengatasi masalah tersebut yaitu peneliti  merancang aplikasi Pos Pembinaan Terpadu Berbasis Android. Aplikasi dapat memudahkan petugas untuk  mencatat  hasil  pemeriksaan  warga agar  penyebaran  penyakit  dapat  ditanggulangi  dengan cepat, dan juga sebagai sarana untuk pelayanan kesehatan di Desa Ringinsari. Hasil penelitian didapatkan dengan adanya aplikasi Pos Pembinaan Terpadu sebagai media Pencatatan laporan kesehatan, dapat memudahkan dalam pelayanan kesehatan Masyarakat di Desa Ringinsari.
Efficiency Comparison of Floating, Ground, and Rooftop Solar Systems: Environmental and Social Impacts of Floating Solar Grids
Authors: Rajapaksha, R.U.H.K.R.  , Chandrathilake, G.G.T.  , Karunarathne, R.R.
Published: February 2024

The global fossil fuel shortage and environmental concerns underscore the imperative for transitioning to renewables. Developing nations like Sri Lanka are prioritizing green technologies, notably solar energy, to bridge the gap between current usage and its substantial potential. This study compares technical efficiency among floating, ground, and rooftop solar in Sri Lanka. Analyse local perceptions of floating solar. Assess the environmental impact and sustainability of floating solar systems in Sri Lanka. This study compares the energy production efficiency of floating solar, ground solar, and rooftop solar systems in Sri Lanka. This study compares the technical efficiency of floating, ground-mounted, and rooftop solar systems. Kilinochchi, chosen for floating solar, a nearby ground solar site facilitates a direct comparison, and Mass Vidiyal in Kilinochchi represents rooftop solar. The study strategically gathers data from inverters to assess performance metrics. The goal is a representative analysis, minimizing solar irradiance variations for accurate comparisons. Conducting a literature review to analyse the environmental impact of floating solar systems, drawing insights from past published research papers, and A socio-economic survey was conducted among the local community to assess the socioeconomic viability of a proposed floating solar plant near Chandrika Lake. The survey considered factors such as job creation, local employment opportunities, skill development, and alignment with national energy policies. Floating solar systems were found to have the highest energy generation capability and efficiency, followed by rooftop solar systems, while ground-mounted solar systems had lower energy output. The advantages of floating solar systems over ground-mounted systems were significant (43.69% advantage) and outperformed rooftop solar systems (30.81% advantage). According to the survey, stakeholder engagement and mitigation measures were identified as crucial, considering concerns related to water quality, safety, fisheries, agriculture, and the aesthetic value of the lake This study highlights technical efficiency, socioeconomic viability, and environmental impact of solar systems in Sri Lanka, emphasizing responsible deployment. While floating solar exhibits energy efficiency, addressing altered water flow and aquatic habitat concerns through mitigation measures is crucial for sustainable implementation.

 

Keywords: Solar energy, Floating solar, Environmental impact, Social impact, Renewable energy
Adaptive Reuse of Old Houses into Boutique Hotels: An Approach to Market Architectural Heritage
Authors: Seenapatabendige, K.B.
Published: February 2024

Adaptive reuse of old house with rich architectural heritage into a boutique hotels or speciality tourism sector becoming a popular strategy while catering to sustainable use of resources. In addition, adaptive reuse helps to preserve architectural uniqueness, strength the local economy through environmentally friendly manner. This study focused to explore reuse house as boutique hotels in Sri Lanka, the vernacular and colonial approach by analysing the process and changes that occur on its application and identify the tourist perception on unique experience. Mixed method approach was instrumental in data collection. Site visits, walkthrough tour to identify building performance, analysis of the photographs, videos and online user satisfaction reviews were used to obtain tourist perceptions on reuse of old houses. Case studies approach used to study the 15 old houses converter to boutique hotels. Adaptive reuse of boutique hotels carter to the high-end tourist market and specially cratering to families and groups. Renovating old houses into boutique hotels enhances the value of the structures while preserving the passive design strategies inherent in vernacular and colonial buildings. Tourists appreciate the remarkable design layout, refined decor, aesthetic appeal of the space, and the ability of the interior to maintain its charm despite the tropical climate, offering mesmerizing views of the architecture. The result shows that a significant number of vernacular and colonial residences belonging to rich individuals have been transformed into boutique hotels, attracting a discerning clientele of high-end tourists. Conservation and restoration of economically and culturally important but abandoned buildings through its adoptive reuse contributes to the enhancement of tourist attraction, liveability, tackle the challenges of resource scarcity, waste prevention and preserve heritage.

 

Keywords: Old houses, Tourist perception, Adaptive reuse, Sri Lanka
Impact of Agro-Tourism on Travel Experiences of Domestic Tourists in Sri Lanka
Authors: Gnanathilaka, L.P.S.D.
Published: February 2024

Agro-tourism as a branch of tourism refers to a form of commercial enterprise that links agricultural industries and tourism to attract visitors to a farm or other agricultural businesses with the objectives of generating income and entertaining or educating the visitors. As the research problem, it was identified that limited number of research has been done on agro-tourism and its impact on the experiences of domestic tourists to travel as a path to establish a sustainable tourism industry in Sri Lanka. Hence, this study aimed to study the impact of agro-tourism on travel experiences of Sri Lankan domestic tourists. A mixed research design method was used in the study. It was mainly based on the primary data and the sample in the study was 50 which was randomly selected out of the total population of 233. As the variables, general demographic variables, main source of finance, trip length, major reasons to travel, the most favourite experience in selecting the destination and willingness to travel again were used for the study. Cross tabulation in SPSS analysis was mainly used with the descriptive analysis to obtain the results. As per the findings of the study, seventy percent of females and thirty percent of males were recorded representing the whole sample. Eighty four percent of domestic tourists had the willingness to travel again while sixteen percent had not. From the Cross-tabulation results, it was determined that 82.85% females from 70% and 86.66% of males from 30% showed interest to travel again to the same place. Further results showed that both female and male domestic tourists were interested to pick fresh fruits/vegetables from the farm recording 57.14% and 66.66% respectively. Rest of the domestic tourists was also interested in visiting agricultural farms, petting and feeding animals, and other activities. It is an evident fact that most of the domestic tourists are willing to gain live experiences in engaging into certain types of agriculture sectorial practices. Hence, it is highly recommended to concern on the agricultural practices of tourists’ areas in Sri Lanka as both domestic and foreign tourists yearn to gain live experiences in current context. Further researchers are suggested to study on the foreign tourists and their travel experiences in connection with agro-tourism.

 

Keywords: Agro-tourism, Domestic tourists, Sri Lanka, Travel experiences
Preliminary Analysis of Air Conditioner Condensate Water Generation in Buttala, Monaragala, Sri Lanka
Authors: Fransisku, P.T.D.  , Naveendrakumar, G.  , Jayawardhane, K.K.D.D.
Published: February 2024

In tropical countries like Sri Lanka, a significant amount of air-conditioner (A/C) condensate water is often discharged into the environment without being utilized. Although considerable number of reports available for South and East Asia, research related to AC condensate in Sri Lanka is scanty. The aim of this research was to analyse the quality and quantity of the discharged condensed water after understanding the potential environmental concerns. Monaragala district was chosen for this study due to its dry climate and the widespread use of air conditioners in most shops, resulting in a substantial discharge of condensed water into the environment. Water samples were taken from 31 institutions within Buttala area. These samples were collected in triplicate, and the mean value was used for analysis. When considering all parameter values, pH, TDS, Turbidity, Electrical Conductivity, and color showed good compliance with the SLS 614:2013 and NEA standards. (Mean values were 7.317, 28.37 ppm, 1.47 NTU, 54.21 µS, 10.74 and standard deviation values

were 0.1138, 13.46, 0.1961, 26.01, 5.047 respectively). Therefore, the condensed water from air conditioners is unlikely to have environmental impacts and can be safely used for irrigation and agricultural purposes. In the case of potable water, all the parameters analyzed in this research were well-fitted with the potable water standards. However, if it is intended for drinking purposes, further analysis for heavy metal contamination is required. By considering 11 number of A/C units, an amount of condensed water 0.97L/h/ton is released to the environment; equivalent to approximately

7.76 L/ton per day. The values were taken in duplicates. The volume of condensate water, while considerable, doesn’t need to be released into the environment without purpose. Instead, this water can be efficiently utilized for various applications, including garden irrigation, toilet flushing, cooling applications, cleaning, fire suppression, and construction. This suggestion is imperative, not only for the Buttala area but for the entire country of Sri Lanka, as this approach can yield several positive effects on both the environment and the economy.

 

Keywords: Air conditioners, Condensed water, Quality analysis, Quantity analysis
Assessment of Groundwater Quality in Attaragoda Grama Niladhari Division in Galle, Sri Lanka
Authors: Prabhashvi, W.A.A.  , Senanayake, S.A.M.A.I.K.
Published: February 2024

Insufficient quality can make water unfit for a range of human purposes. As a result, water is becoming scarcer globally as population growth continues. Water quality assessment is essential for effective water resource management. The present research fills the gap in scientific knowledge and information regarding the groundwater quality status in Attaragoda Grama Niladhari (GN) Division in Galle, Sri Lanka. Randomly selected 33 groundwater samples were collected from 142/A Attaragoda GN division monthly from November 2021 to March 2022. Together, 13 selected general water quality parameters, including temperature, pH, total dissolved solids, electrical conductivity, salinity, dissolved oxygen, biological oxygen demand, total nitrate, total phosphate, total alkalinity, total hardness, ammonia, and fluoride, were measured once a month during the study period using standard methodologies. Additionally, four metals, including Iron, Calcium, Magnesium, and Sodium, were analysed for the randomly selected 15 locations during the study period. Statistical analysis was done using Minitab 17 and MS Excel 13. Weighted Arithmetic Water Quality Index (WQI) was calculated using electrical conductivity, TDS, pH, hardness, phosphate, alkalinity, and nitrate parameters in Attaragoda GND. Results indicated that, except for Fe, none of the tested parameters exceeded the maximum permissible levels for drinking water throughout the study. Accordingly, all locations were categorized as good for drinking purposes. For a more precise evaluation of water quality, the WQI can be improved by future research focusing on heavy metal and microbial contaminants.

 

Keywords: Groundwater, Water quality, Weighted arithmetic water quality index
Investigation on Efficacy of Azolla with Different Organic Fertilizers as Plant Growth Enhancer on Chili (Var.Super)
Authors: Rajeevan, R.  , Vijitha, V.  , Anchanadevi, S.
Published: February 2024

Chili is one of the widely used spices all around the world. Over usage of inorganic fertilizer to satisfy ever growing demand for food leads to detrimental impacts on human health and environment. Therefore, this study was intended to investigate the efficiency of azolla with different organic fertilizer on growth and yield of chili, variety Super. A field experiment was carried out with five different treatments, T1-Azolla+Compost, T2-Azolla+Vermicompost, T3- Azolla+Panchagowvya, T4-Azolla+Vermitea, and T5-Control with five replicates and laid in randomized complete block design. The prepared organic fertilizers were applied from two weeks of transplanting and continued for 12 weeks in one week interval. Then the growth parameter such as mean plant height, number of leaves per plant, leaf width, number of flowers, pod length, pod diameter, pod weight and total yield were measured in different time duration according to the type of measurement. According to the results, T2 showed better performance in terms of mean plant height (45 cm), number of leaves per plant (43 cm), leaf width (2.8 cm), pod length (4.34 cm), individual pod weight (6.94 g), and total yield (176.8 g) whereas comparatively lower performance was observed in control. Considering the significant differences recorded in the statistical analysis for all the parameters other than the mean number of flowers, it can be concluded that the application of Azolla solution with vermicompost improves the growth performance and yield of chili. Therefore, it is recommended to adapt this combination as an organic fertilizer among the farmers to reduce the usage of inorganic fertilizers.

 

Keywords: Azolla solution, Demand, Growth parameters, Inorganic fertilizer
Complicações no parto bovino e a intervenção cirúrgica cesariana
Authors: Queiroz José Eliseu dos Santos , Silva-Marques Renata Pereira da , Souza Carlindomar José de
Published: February 2024

Complications in bovine birth and cesarean surgical intervention have significant impacts on reproduction and public health, especially in the absence of effective control and treatment measures. Such complications directly affect productivity and are influenced by nutritional, genetic, health and management factors. They may have an infectious or non-infectious origin, being multifactorial and involving environmental, management, toxic and microbiological elements. It is noteworthy that non-infectious complications have a significant impact, and their primary or secondary nature can compromise the general health of animals. This work aims to discuss the cesarean section technique in bovine births as a measure to address the complications of bovine birth.
A Bibliometric Analysis of the AIS Educator Journal
Authors: Baldwin Amelia Annette , Chiu Victoria , Liu Qi
Published: February 2024

During its first 15 years, the AIS Educator Journal has become an essential outlet for accounting information systems (AIS) education research, teaching cases, and related topics, including the technologies used in accounting practice and education. The accounting profession and accounting educational program accreditors have increasingly deemed accounting graduates’ knowledge of accounting systems and skills in using related technologies critical. Thus, we believe our review of the journal’s output, including analyses of authors’ affiliations and doctoral institutions, will be helpful to prospective doctoral students and academicians on the job market wanting to know which institutions have generated AIS education research. We also believe it could help authors and prospective authors who want to identify areas of focus or areas needing more research. Finally, it can help researchers identify potential collaborators on AIS and related technology topics.
The Implementation of Green Practices to improve the service quality of front office at K Club Ubud
Authors:   Politeknik Negeri Bali, Dewi Ni Nyoman Angelica Kerta , Darlina Lien ,   Politeknik Negeri Bali, Nadra Nyoman Mastiani ,   Politeknik Negeri Bali, Chaerunnisah Indah Utami ,   Politeknik Negeri Bali, Natalia Sang Ayu Made Krisna Dewi ,   Politeknik Negeri Bali, Xiaoling Ge ,   Politeknik Negeri Bali
Published: February 2024

The K Club Ubud in Gianyar, Bali, has used green practises to enhance the front office department's service quality. The goal of this study is to examine these activities and identify the green practises indicators that must be maintained and improved. Questionnaires, interviews, observations, and documentation were used to collect data for this study. The sample strategy used in this investigation was simple random sampling. In order to collect data, online surveys are distributed to respondents. As part of the processing, the questionnaire was subjected to validity and reliability tests. The servqual test (quality of service) and importance-performance analysis (IPA) are then employed as data analysis techniques in this study. According to the findings of this study, the application of green practices has been done in an optimal manner, as evidenced by the outcomes of the application of 3R activities. The results of the servqual test, which show that the front office department at K Club Ubud has seven gaps (+) and one gap (-) in the form of eight question indicators, can be used to describe how successfully green practices have been implemented. According to the importance performance analysis (IPA) results, the front office department must maintain the quality of the services for one indication while making improvements for the other.
Utilization of neurological dominance science (NDS) to enhance students’ creativity in communication as implementation outcome based education (OBE)
Authors:   Universitas Negeri Medan, Indonesia, Meisuri Meisuri , Hartati Rita ,   Universitas Negeri Medan, Indonesia
Published: February 2024

This study aims to investigate the contribution of the Neuro Dominance Science (NDS) program in improving students' creative communication skills and the completion of six tasks as a result of the Indonesian National Qualifications Framework called KKNI, with six (6) tasks of KKNI. This study uses qualitative and quantitative method in analyzing the data. The participants in this study were 50 students of English language and Literature Department, Universitas Negeri Medan that completed NDS workshop as one of the programmed of Creative Innovative Communication (CIC) subject at the fourth Semester. Data was collected through a questionnaire made in the form of a Google form to measure students' creative communication abilities and completion of KKNI assignments. The results of this study indicate that the NDS program has a significant contribution to improving students' creative communication skills. Quantitative data analysis shows an increase in scores on creative communication assessment after students join the NDS program. In addition, the NDS program also assists students in completing the six tasks required by the KKNI, such as problem-solving, critical thinking, and collaboration. This research provides valuable insight into the contribution of the NDS program in improving students' creative communication skills and completing KKNI assignments. The results of this study can be used by policymakers and educators to consider implementing the NDS program in schools as an effort to improve students' skills in creative communication and achievement of KKNI tasks.
Bilingual store names: A contact-linguistic landscape spectacle in Denpasar
Authors:   Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar, Indonesia, Jendra Made Iwan Indrawan
Published: February 2024

Drawing upon data from first-hand fieldwork, this study explores the mixing of two different codes that have been recently found to be used as store names in Denpasar, the capital city of the Bali Province, Indonesia. It is aimed at describing the contact-linguistic landscape phenomenon and revealing how local store owners address multilingualism as a response to the increasingly heterogeneous and linguistically hybrid society. The research reviewed related theoretical literatures, applied observation, did some interviews with note takings, from which the data suggest the reason or motivation behind the case. In the study the spotted signages combining Balinese and English words are theoretically resemble intra-lexical code-mixing. The bilingual construction took place because each language is believed to have its own important role: the use of the local tongue reflects motivation to maintain and promote the Balinese cultural and linguistic identity, whereas, the use of English suggests expectation of projecting image of “world class” business therefore has been believed to be a tool of attracting shoppers. Despite the gradual decreasing of its native users over the generation, the option to combining Balinese and English as a business identity in public place mirrors the rising language loyalty among some of the locals that may echo the resistance towards its fatal linguistic loss in the short future.
Archaeological Investigations at South Quay, Hayle
Authors: Yvonne Wolframm-Murray , Rob Atkins , Andrew Sherman
Published: February 2024

Archaeological work took place on South Quay, Hayle between 2010 and 2014. The development of Hayle started in the mid-18th century and it soon became a significant industrial centre. South Quay was constructed in 1818 by the locally influential and entrepreneurial Harvey family and was located adjacent to their large iron foundry. Activity on the quay evolved with, from the 1830s, the Harvey family becoming involved in ship building. This took place on newly constructed slipways connected to the quay. By the 1840s, wharfs, many other structures and buildings were established on the quay, all linked by rail tracks enabling products to be efficiently sent across the trading world.

The decline in South Quay from c1860 was slow and little substantial new development occurred except for a short-lived industrial redevelopment of part of the site in the 1970s. The quay later became derelict and there was substantial fly tipping. Archaeological examination found that under the ground surface there were large areas where fragile historic remains and artefacts had survived such as 19th century rail tracks, chains and anchors. Other archaeological work undertaken included recording features such as the walls of the quay, which had been modified over time. Walls that had been part of the docks and slipways were exposed. Additionally, the former Carnsew Channel leading off South Quay was revealed and remains of its sluice gates, which was attached to the quay, were drawn. An ‘Accommodation’ bridge had been constructed within the quay during WWII to aid the assembly of ‘Rhinos’ in preparaton of D-Day in 1944, and was examined before it was removed.

This publication has extensively used cartographic, photographic and documentary records to place the archaeological and structural features uncovered into context. The importance of these industrial remains has been shown by the fact that the former port of Hayle, including South Quay, had gained World Heritage status.
ADSS: A Composite Score to Detect Disease Progression in Alzheimer’s Disease
Authors: Shan Guogen , Lu Xinlin , Li Zhigang , Caldwell Jessica Z.K. , Bernick Charles , Cummings Jeffrey
Published: February 2024

Background:

Composite scores have been increasingly used in trials for Alzheimer’s disease (AD) to detect disease progression, such as the AD Composite Score (ADCOMS) in the lecanemab trial.

Objective:

To develop a new composite score to improve the prediction of outcome change.

Methods:

We proposed to develop a new composite score based on the statistical model in the ADCOMS, by removing duplicated sub-scales and adding the model selection in the partial least squares (PLS) regression.

Results:

The new AD composite Score with variable Selection (ADSS) includes 7 cognitive sub-scales. ADSS can increase the sensitivity to detect disease progression as compared to the existing total scores, which leads to smaller sample sizes using the ADSS in trial designs.

Conclusions:

ADSS can be utilized in AD trials to improve the success rate of drug development with a high sensitivity to detect disease progression in early stages.
Multimodal ultrasonic manifestations of secretory carcinoma of the breast
Authors: Wu Zehong , Liao Manli , Li Huajuan , Huang Shengchao , Liang Xin , Chen Bohan , Zhang Guoli , Yang Yuping , Xu Xiaohong
Published: February 2024

Secretory carcinoma of the breast (SCB) is a rare and specific type of breast cancer. Owing to its rarity, the number of SCB reports available is limited, with most of them focusing on clinical and pathological characteristics but no reports on its multimodal ultrasound (US) features. Thus, we present a rare case of SCB, retrospectively analyzing manifestations of US and contrast-enhanced US, as well as its pathological basis, aiming to enhance the understanding of US image features of SCB and provide more valuable information for clinical diagnosis. Moreover, the treatment strategy adopted for this patient may serve as a template for future management of SCB.
Hybrid weight optimized deep learning for autism and visual sensory processing disorder detection: A heuristic strategy on medical domain
Authors: Dedgaonkar Suruchi , Sachdeo Rajneeshkaur
Published: February 2024

An Autism Spectrum Disorder (ASD) affected individual has several difficulties with social-emotional cues. The existing model is observed with emotional face processing in adolescents and ASD and Typical Development (TD) by utilizing various body parameters. Scanning facial expressions is the initial task, and recognizing the face’s sensitivity to different emotional expressions is the next complex task. To address this shortcoming, in this work, a new autism and visual Sensory Processing Disorder (SPD) detection model for supporting healthcare applications by processing facial expressions and sensory data of heart rate and body temperature. Here, initially, the individual data regarding facial emotions and other body parameters like heart rate and body temperature are collected from various subjects. Then, the selection of optimal features is executed by a hybrid algorithm named Density Factor-based Artificial Bee Honey Badger Optimization (DF-ABHBO), where the most essential features are attained and fed to the detection phase. The optimal feature selection is made by resolving the fitness function with constraints like correlation, data variance, and cosine similarity for inter and intra-class. Finally, the autism and visual SPD detection are performed through a Hybrid Weight Optimized Deep Neural Recurrent Network (HWODNRN), where the hyperparameter and weights of “Deep Neural Network (DNN) and Recurrent Neural Network (RNN)” are optimized with the developed DF-ABHBO technique. From the result analysis, the accuracy and F1-score rate of the offered DF-ABHBO-HWODNRN method have attained 96% and 93%. The findings obtained from the simulations of the designed system achieve better performance.
Recalling-Enhanced Recurrent Neural Network optimized with Chimp Optimization Algorithm based speech enhancement for hearing aids
Authors: Rai Rahul R. , Mathivanan M.
Published: February 2024

Background noise often distorts the speech signals obtained in a real-world environment. This deterioration occurs in certain applications, like speech recognition, hearing aids. The aim of Speech enhancement (SE) is to suppress the unnecessary background noise in the obtained speech signal. The existing approaches for speech enhancement (SE) face more challenges like low Source-distortion ratio and memory requirements. In this manuscript, Recalling-Enhanced Recurrent Neural Network (R-ERNN) optimized with Chimp Optimization Algorithm based speech enhancement is proposed for hearing aids (R-ERNN-COA-SE-HA). Initially, the clean speech and noisy speech are amassed from MS-SNSD dataset. The input speech signals are encoded using vocoder analysis, and then the Sample RNN decode the bit stream into samples. The input speech signals are extracted using Ternary pattern and discrete wavelet transforms (TP-DWT) in the training phase. In the enhancement stage, R-ERNN forecasts the associated clean speech spectra from noisy speech spectra, then reconstructs a clean speech waveform. Chimp Optimization Algorithm (COA) is considered for optimizing the R-ERNN which enhances speech. The proposed method is implemented in MATLAB, and its efficiency is evaluated under some metrics. The R-ERNN-COA-SE-HA method provides 23.74%, 24.81%, and 19.33% higher PESQ compared with existing methods, such as RGRNN-SE-HA, PACDNN-SE-HA, ARN-SE-HA respectively.
Research on financial risk early warning system model based on second-order blockchain differential equation
Authors: Li Hongyan
Published: February 2024

A financial risk early warning system (FREWS) is a disclosure and tracking mechanism that provides advance notice of potential issues, hazards, and potentials that might affect the business’s finances. Some elderly individuals living alone may experience financial difficulties, which may hinder their ability to pay for appropriate medical care, property maintenance, and other essential expenses. Financial difficulties can add tension and diminish their quality of life. Financial results, investment risk, and possible insolvencies may all be detected by implementing early warning systems. Management might use the window of opportunity provided by early warning systems to avert or lessen the impact of possible issues. Almost all FREWS rely on some financial statement analysis. Financial measures are combined with the EWS, accounting information, to determine the firm’s success in its field. Organizational success depends on effective financial oversight, which is at the heart of each business. Studying the enhancement of early warning capacities is relevant because there are no adequate risk evaluation methods to generate realistic estimates. To minimize the FREWS, this research provides a systemic model based on a second-order block chain differential equation (SBDE). China’s systemic financial liabilities have also been quantified using the expected investment returns of 64 selected financial enterprises in China between February 2006 and September 2020 as the datasets. The financial risk warning approach is compared and analyzed primarily using analytical and comparative techniques. The suggested method is 96% accurate in experiments. Consequently, the proposed algorithm compares favorably to others regarding both computing efficacy and precision and has strong predictability.
Research on wireless multimedia big data transmission model based on non-linear algebraic equation with the adaptive scheduling algorithm
Authors: Han Shuhe , Yuan Chunhua
Published: February 2024

With the rapid development of computer technology, image processing and automatic book recognition has become a very important and practical field, and this discipline has a broad prospect and great potential. The digital visión system is a multi-plane information análisis method basad on the human brain, which is applied to library identification problems by studying several regular changes in the distribution of objects themselves in two-dimensional space and three-dimensional position, in order to improve book quality and reduce costs. In addition, digital Reading devices have become an essential part of people’s daily learning life, and multimedia retrieval methods have also undergone radical changes, image processing is becoming more and more complex, and algorithms must become more efficient and reliable as the amount of computing increases to a certain level, so as to adapt to this fast and powerful data storage and query needs. Therefore, the tren is to improve the speed and reliability of computer systems. This paper discusses and proposes measures for the analysis and extraction, classification and sorting of library images.