bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Needs of Electricity in Indonesian Rural Area: A Community Readiness Model Approach
Authors: Vanessa Gaffar
Published: June 2024

The seventh Sustainable Development Goal seeks inexpensive, reliable, sustainable, and modern energy for everybody. It implies that people deserve lights and power. Energy shortages have been linked to health, productivity, and education issues. As energy shortages become a societal issue, communities must be ready to solve them, which often referred to ‘community readiness’. The level of social interaction within a community can impact its readiness to solve several issues in the community. Cooperation within communities can boost welfare outcomes. Thus, this study investigates how social interaction and community readiness effect community welfare in a non-electricity neighbourhood.. In this study, the researchers employed a mixed-method approach to gain a comprehensive understanding on the case under study. A semi-structured interview to key informants and a non-participatory observation was conducted to obtain the qualitative data. In addition, a survey to the community was also performed. The findings show that the social interaction and the community readiness were not able to increase the community welfare, both directly and indirectly. On the other hand, the finding also showed that social interaction among the people encouraged the readiness of the community in accepting access to electricity in their environment.
Performance Evaluation and Optimization of Traffic Electromechanical Engineering Based on Big Data
Authors: Zhiwei Luo
Published: June 2024

The continuous development of big data technology and its penetration in various industries has created unprecedented development prospects for the industry, and has had an important impact on promoting digitalization, intelligence and information in specific industries. As an important part of the transportation system, traffic mechanical and electrical engineering plays an important role in planning and guiding the operation of the transportation system. Its performance reliability will largely determine the operating efficiency and safety of the transportation system. Therefore, this study takes the definition and characteristics of traffic mechanical and electrical engineering as the starting point to explore the application value of big data in traffic mechanical and electrical engineering. After analyzing the performance evaluation needs of three major traffic mechanical and electrical engineering such as monitoring, communication and charging, it gives the performance evaluation strategies and optimization measures based on big data. While providing reference for the development of traffic mechanical and electrical engineering, It is also hoped that the research results can promote the development and evolution of traffic mechanical and electrical engineering, and open up new development ideas for other mechanical and electrical engineering related industries.
Optimizing EEG Signal Classification in BCI Systems: A Comparative Study of Hybrid Transfer Learning and Advanced Machine Learning Approaches
Authors: P S Thanigaivelu
Published: June 2024

Electroencephalogram (EEG) data can be challenging to classify for motor imagery (MI) tasks in brain-computer interfaces (BCI) due to low signal-to-noise ratios, complex patterns, and subject variability. This study aims to overcome these issues by evaluating various Transfer Learning (TL) and advanced machine learning models to improve EEG data classification accuracy. We pre-processed raw EEG signals into scalogram images by Continuous Wavelet Transform (CWT) and fed them into TL models like DenseNet, VGG19, ResNet, and InceptionV3. Features from these models were classified using advanced machine learning classifiers, including Random Forest, K-Nearest Neighbours, Decision Tree, and XGBoost. Using the BCI Competition IV 2a raw dataset, DenseNet combined with XGBoost achieved 99.2% classification accuracy on both training and validation datasets. According to the study, TL-based architecture can be used for controlling rehabilitation devices using EEG data for post-stroke patients, improving their quality of life and facilitating a more convenient way for individuals with severe physical disabilities to manage their healthcare via hybrid TL and advanced ML integrated BCI systems.
Personalización política en redes sociales: uso de Twitter e Instagram en la campaña electoral de 2021 en la Comunidad de Madrid
Authors: Díaz Cuervo Graciela , Barberá González Rafael
Published: June 2024

El fenómeno de la personalización política, así como su relación con la inclusión de las redes sociales en la estrategia comunicativa de las campañas electorales, ha suscitado el interés de numerosos investigadores en los últimos años. El presente trabajo tiene como objetivo conocer su alcance en la campaña de las elecciones a la Comunidad de Madrid de 2021, mediante el análisis de contenido de los perfiles de los dos partidos más votados (Partido Popular y Más Madrid) y de sus líderes (Isabel Díaz Ayuso y Mónica García) en Twitter e Instagram. Además, se plantean otros objetivos y seis hipótesis que se verifican o refutan después de realizar el análisis de las cuentas en las citadas redes sociales. En este trabajo se emplean tres técnicas metodológicas: revisión bibliográfica, análisis de contenido y entrevistas en profundidad. Los resultados muestran que tanto Mónica García como Isabel Díaz Ayuso fueron las protagonistas de las publicaciones de Más Madrid (MM) y el Partido Popular (PP) en las dos semanas previas a la celebración de los comicios regionales. No obstante, se revela la existencia de una barrera en el ámbito familiar y cotidiano, al constatarse que la gran mayoría de contenidos personales compartidos por todas las cuentas analizadas se limitan a mostrar la faceta profesional de las candidatas.
Determinants of Personal Expenditure on Healthcare: A Case Study of Patients of a Public Hospital in Ibadan, Nigeria
Authors: Adekoya Elizabeth Oluwakemi
Published: June 2024

The private individuals share about 76% in total healthcare expenditure in Nigeria, in contrast to about 24% by other sources. This has attracted researchers to explore the determinants of private health expenditure in the country. However, little attention has been paid to the role of socio-economic characteristics of service users as drivers of users’ healthcare expenditure. This study was motivated to fill this knowledge gap by surveying the perspectives of service users on whether the level and changes in their socio-economic status may influence their propensities to spend on healthcare. The study has a descriptive design such that twenty (20) service users were recruited randomly from a general hospital in Ibadan, Nigeria with a semi-structured questionnaire and interview used as instruments of data collection. The collected data were analyzed using a mix of frequency counts, percentages and logistic regression. Findings revealed that users' income level, educational attainment and occupation are strong determinants (with high probability coefficients) of private healthcare expenditure. However, family size and proximity to health facility are weak determinants of private healthcare expenditure in Nigeria. It is therefore recommended that government should increase the minimum wage in the country in order to allow users to increase their spending on healthcare. Alternatively, the reach of available health insurance schemes in the country should be expanded so that more service users with low private funding are eligible to access healthcare. This is especially important given low public health expenditure and the current experience of rising inflation in Nigeria.
HABERE ÇEVRİM İÇİ ERİŞİMDE YENİ DÖNEM: KİŞİSELLEŞTİRİLMİŞ HABER UYGULAMALARI
Authors: Çiçeklioğlu Alp Şahin
Published: June 2024

İnternette büyük veriler karşısında kullanıcılar bir nevi kendilerini kaybetmektedirler. Kişiselleştirilmiş öneri sistemleri, kullanıcılara içerisinde bulundukları bu büyük verinin arasından kendilerine en uygun olan içeriği sunmayı hedefleyen sistemler olarak ortaya çıkmıştır. Son yıllarda özellikle e-ticaret, reklamcılık, ses ve video önerileri gibi alanlarda kendisini gösteren kişiselleştirilmiş öneri sistemleri, çevrim içi haber kaynaklarına erişimin giderek yoğunlaşmasıyla birlikte ‘haber öneri sistemleri’ adı altında yaygınlaşmaya başlamaktadır. Öneri sistemi geliştirmenin birçok zorluğu bulunmaktadır. Haber alanının dinamik ve çeşitli ortamı, fazla miktardaki veri akışı, hızlı güncelleme ve değişim, zamanındalık ve coğrafi farkındalık vb. özellikleri, haber öneri sistemlerini diğer alanlara kıyasla daha fazla zorlaştırmakta ve bu durum kullanıcıların haber alanındaki kişiselleştirme gereksinimlerinin tam karşılanmamasına neden olabilmektedir. Bu nedenle mevcut öneri sistemlerinin bu sorunlar ile mücadele edecek şekilde tasarlanması gerekmektedir. Bu çalışmanın amacı, kişiselleştirme sistemlerini, bu sistemlerin haber alanına entegrasyonunu ve bu entegrasyonun ortaya çıkardığı zorluklar ile kişiselleştirilmiş haber sisteminin içerisinde önemli bir yer edinen kişiselleştirilmiş haber uygulamalarını incelemektir.
Personalized treatment of primary angle closure
Authors: Kurysheva N. I. , Pomerantsev A. L. , Rodionova O. Ye. , Sharova G. A.
Published: June 2024

PURPOSE. To develop a personalized approach to selecting a treatment method for primary angle closure (PAC) based on a comparison of the predicted hypotensive effect of laser peripheral iridotomy (LPI) and lens extraction (LE).

METHODS. This prospective study included 60 patients (60 eyes) with PAC aged 41 to 80 years. LPI was performed on 30 eyes and LE on 30 eyes. All patients underwent swept-source optical coherence tomography (SS-OCT) of the anterior and posterior segments of the eye before and 1 month after treatment. A set of 37 clinical and anatomical parameters of each patient was evaluated. The hypotensive effect of the surgery was considered to be the magnitude of the decrease in intraocular pressure (IOP) after the intervention relative to the baseline. The principal component regression method was used to develop regression models predicting the hypotensive effect of treatment.

RESULTS. An innovative step-by-step algorithm for choosing a treatment method for PAC (LE or LPI) has been developed. The first step is to measure and take into account 4 clinical and anatomical parameters of the patient: gender, IOP, axial length of the eye (AL), and anterior chamber depth (ACD). The second step is to calculate the predicted difference in hypotensive effect (Ind_Short) using the formula Ind_Short=B0+B1·Gender+B2·IOP+B3·AL+B4·ACD, where B0=16.8; B1=-0.28; B2=0.24; B3=-0.65; B4=-2.36; male gender is 0 (zero) and female gender is 1. The third step is to compare the obtained result with zero: LPI is the preferred method if Ind_Short is less than 0, otherwise LE.

CONCLUSION. The developed step-by-step algorithm involving the use of machine learning methods allows a personalized approach to the treatment of primary angle closure.
Comparative evaluation of the hypotensive effect of brimonidine and its fixed combination with timolol
Authors: Malyshev A. V. , Apostolova A. S. , Sergienko A. A. , Teshev A. F. , Karapetov G. Yu. , Ashkhamakhova M. K. , Midaev U. I.
Published: June 2024

PURPOSE. To evaluate the hypotensive efficacy of a single instillation of brimonidine 0.15% Purit or a fixed combination of brimonidine 0.2% and timolol 0.5% (FCBT) in various forms of glaucoma and ocular hypertension (OH).

METHODS. Brimonidine 0.15% or FCBT was instilled in 285 eyes with uncompensated glaucoma and OH. Brimonidine 0.15% was instilled in patients with OH, early and moderate glaucoma, initially moderately elevated IOP (b), newly diagnosed pathology without previous therapy. FCBT was instilled in patients with initially high IOP (c), advanced and terminal stages, who were on therapy. The hypotensive effect was evaluated after 20 minutes. The mean age of the patients was 64.94±0.952 years. Women were predominant in the study group — 62.5%, men comprised 37.5%.

RESULTS. The maximum efficacy was observed in the age group of 60–79 years and over 80 — 27.30±1.1% and 32.46±0.9%. The greatest hypotensive effect was observed in angle-closure glaucoma — 31.69±3.5%. In newly diagnosed glaucoma, intraocular pressure (IOP) decreased by 24.95±1.14%; when added to previous mono- and combination therapy, the decrease was 27.48±2.0% and 25.88±2.7% (p=0.64). In the early and moderate stages, the decrease was 23.68±1.6%, 26.8±2.3%, respectively. The maximum effect (30.64±2.25%) was observed in the advanced stage. At more than 30 mm Hg, the decrease was more than 30%. The hypotensive effect of FCBT was twice that of brimonidine — 22.5±0.97% and 33.27±1.43%, respectively (p<0.001). With an initial IOP of more than 30 mm Hg and the use of brimonidine 0.15%, a decrease of 21.32±1.0% was achieved; with the use of FCBT — 35±1.55%.

CONCLUSION. We recommend using brimonidine 0.15% or FCBT for elevated IOP in all types of glaucoma and OH: brimonidine 0.15% when the initial IOP is less than 30 mm Hg, and FCBT — when it is more than 30 mm Hg. The use of both drugs is most effective in people over 60 years of age. Brimonidine 0.15% can be recommended as a starting therapy for early glaucoma and OH with an initial IOP of less than 30 mm Hg. In case of IOP more than 30 mm Hg, advanced or angleclosure glaucoma, or glaucoma uncompensated while on therapy, it is preferable to prescribe FCBT due to its greater hypotensive effect.
Comparative evaluation of the hypotensive effectiveness of biodegradable drainage implants in non-penetrating surgery for open-angle glaucoma
Authors: Kolenko O. V. , Postupaev A. V. , Postupaeva N. V. , Sorokin E. L.
Published: June 2024

PURPOSE. To compare the hypotensive effectiveness of Glauteks and HealaFlow drainage implants in non-penetrating deep sclerectomy (NPDS) in patients with primary open-angle glaucoma (POAG).

METHODS. The study included 56 patients (56 eyes), of them 19 had moderate POAG and 37 had advanced POAG. The intraocular pressure (IOP) level was 27.8±3.6 mm Hg on the hypotensive regimen. Glauteks drainage impalnt was used in the first group (27 eyes), HealaFlow drainage implant — in the second group (29 eyes).

RESULTS. On the 1st day after surgery the IOP was 13.3±1.8 mm  Hg in the 1st group, and 13.6±1.7 mm  Hg in the 2nd group. After 3 months, the average IOP level was 15.6±1.4 mm Hg in the 1st group, and 15.9±1.6 mm Hg in the 2nd group. All patients underwent a planned Descemet's goniopuncture at 3 months. After one year, the IOP level in the 1st group amounted to 17.3±1.7 mm Hg (IOP normalization achieved in 96% of eyes), with 67% of the eyes not requiring hypotensive therapy. In the 2nd group — 18.0±1.8 mm  Hg (IOP normalization achieved in 93% of eyes), with 62% of the eyes not requiring hypotensive therapy. After two years, 25 patients of the 1st group had normalized IOP and was 18.2±1.5 mm  Hg, of them 30% did not use hypotensive therapy. In the 2nd group, 27 eyes had IOP of 18.3±1.7 mm Hg, of which 28% did not require hypotensive therapy. Over the 2 years of follow-up, reoperations were required in 11% of eyes in the 1st group and in 14% of eyes in the 2nd group.

CONCLUSION. The use of biodegradable Glautex and HealaFlow drainage devices in NPDS allowed achieving persistent normalization of IOP in the vast majority of patients with POAG — 89% and 86%, respectively — within 2 years of follow-up.
Analisis Kritis pada Kompetensi Da’i di Era Digital
Authors: Iman Sunardi Bashri , Mastori
Published: June 2024

Di era digital saat ini, dakwah mulai masuk ke berbagai lini kehidupan masyarakat. Satu sisi, keadaan ini membawa dampak positif bagi semaraknya penyebaran nilai-nilai dakwah Islam. Namun, pada sisi yang lain panggung dakwah kerap diisi oleh da’i-da’i yang kurang kompeten dalam bidangnya. Oleh sebab itu, dengan menggunakan metode kualitatif penelitian ini membahas beberapa permasalahan, yaitu: Pertama, bagaimana urgensi da’i bersanad secara keilmuan? Kedua, bagaimana komptensi dan karakteristik da’i yang ideal dalam dakwah? Berdasarkan rumusan masalah tersebut ditemukan hasil penelitian berikut: Pertama, setiap da’i wajib memiliki sanad keilmuan yang bersambung. Sumber-sumber utama ajaran Islam yakni al-Qur’an dan Sunnah disusun menggunakan metode sanad yang bersambung sampai pada sumber utama. Kedua, kompetensi dan karakter da’i yang ideal memiliki beberapa ciri yaitu: a). Narasi dakwahnya informatif. b). Menjadikan dakwah sebagai wahana pengajaran, pendidikan, dan pembelajaran, c). Muatan dakwah sarat dengan nilai, serta inspirasi. d). Tidak mengesampingkan usur hiburan yang bisa menyejukkan.
Strategi Komunikasi Humas Universitas PTIQ Jakarta dalam Mengelola Media Sosial sebagai Media Publikasi
Authors: Hayat Naila Mafayiziya
Published: June 2024

Strategi komunikasi Humas Universitas PTIQ Jakarta dalam mengelola media sosial sebagai media publikasi merupakan aspek krusial dalam membangun citra dan menjalin interaksi positif dengan berbagai pemangku kepentingan. Penelitian ini mengeksplorasi pendekatan yang digunakan oleh Humas Universitas PTIQ Jakarta dalam memanfaatkan media sosial sebagai sarana efektif untuk menyampaikan informasi, meningkatkan visibilitas, dan membangun keterlibatan dengan masyarakat. Metode penelitian ini melibatkan analisis konten, wawancara, dan observasi terhadap aktivitas media sosial universitas. Hasil penelitian menunjukkan bahwa Humas Universitas PTIQ Jakarta mengadopsi strategi komunikasi yang terarah dan kreatif untuk memaksimalkan dampaknya di media sosial. Mereka secara aktif menyusun konten yang relevan dan menarik, melibatkan berbagai pihak, termasuk mahasiswa, dosen, dan alumni, serta merespons cepat terhadap interaksi pengguna. Penerapan teknologi dan algoritma kecerdasan buatan juga menjadi bagian integral dari strategi mereka untuk meningkatkan visibilitas konten. Keberhasilan strategi ini tercermin dalam peningkatan jumlah pengikut, interaksi positif, dan reputasi yang baik di kalangan masyarakat. Implikasi temuan ini menggarisbawahi pentingnya peran strategis Humas dalam merancang dan melaksanakan komunikasi yang efektif di era digital. Langkah-langkah ini relevan untuk meningkatkan citra universitas, meningkatkan partisipasi, dan membangun jejaring yang kuat dengan publik.
ANALYSIS OF TEACHER COMPETENCIES ON TEACHER PERFORMANCE AT SMK N 1 AMURANG
Authors: Dolonseda Herman Philips
Published: June 2024

This research aims (1) to determine the influence of Teacher Professional Competency on Teacher Performance at SMK N 1 Amurang, (2) to determine the influence of Teacher Pedagogical Competency on Teacher Performance at SMK N 1 Amurang, (3) to determine the influence of Teacher Personality Competency on Performance Teachers at SMK N 1 Amurang, (4) ) to determine the influence of Teacher Social Competence on Teacher Performance at SMK N 1 Amurang, (5) to determine the influence of Professional, Pedagogical, Personality and Social Competencies together on Teacher Performance at SMK N 1 Amurang.
The method in this research uses a survey research method, where the research instrument is a questionnaire that has been tested and meets the validity and reliability test requirements. Data were analyzed using regression analysis, simple and multiple correlation. The population in this study were all teachers at SMK N 1 Amurang. The sampling technique used was random sampling with a level of 5% with a sample size of 65 people.
The results of the research show that: (1) there is an influence of Teacher Professional Competency on Teacher Performance at SMK N 1 Amurang, (2) there is an influence of Teacher Pedagogical Competency on Teacher Performance at SMK N 1 Amurang, (3) there is an influence of Teacher Personality Competency on Teacher Performance at SMK N 1 Amurang, (4) there is an influence of Teacher Social Competency on Teacher Performance at SMK N 1 Amurang, (5) there is an influence of Professional, Pedagogical, Personality and Social Competency together on Teacher Performance at SMK N 1 Amurang.
Keywords: Teacher Competency, Teacher Performance
ANALISIS STRATEGI PEMBERDAYAAN EKONOMI PETANI CENGKIH DI DESA TINCEP KECAMATAN SONDER KABUPATEN MINAHASA
Authors: Palinggi Olivia Novianti , Watung Sjedie , Taroreh Johny
Published: June 2024

ABSTRAK
Pertanian memiliki peran sentral dalam kehidupan masyarakat pedesaan, menjadi pilar utama dalam pemenuhan kebutuhan pangan dan pendapatan ekonomi. Peneltian ini bertujuan untuk mengetahui Analisis Strategi Pemberdayaan Ekonomi Petani Cengkih Di Desa Tincep Kecamatan Sonder Kabupaten Minahasa. Adapun teknik pengelolaan data yang digunakan dalam penelitian adalah teknik kualitatif yang lebih menekankan analisisnya pada proses penyimpulan induktif. Penelitian ini menggunakan teknik wawancara dan observasi. Hasil penelitian menunjukkan bahwa program pemberdayaan petani cengkih tidak hanya mempengaruhi aspek ekonomi petani secara langsung, tetapi juga memberikan dampak yang meluas ke dalam masyarakat. Strategi pemasaran yang adaptif, pelatihan teknologi modern, dan peningkatan pendapatan petani berperan penting dalam menciptakan pertanian yang berkelanjutan dan berdampak positif pada kehidupan masyarakat lokal. Program ini dapat dianggap sebagai langkah yang signifikan menuju pembangunan berkelanjutan di tingkat lokal, melibatkan kolaborasi antara pemerintah, petani, dan masyarakat.
Kata kunci: strategi pemberdayaan ekonomi, ekonimi petani
 
ABSTRACT
Agriculture has a central role in the lives of rural communities, being the main pillar in meeting food needs and economic income. This research aims to determine the analysis of economic empowerment strategies for clove farmers in Tincep Village, Sonder District, Minahasa Regency. The data management technique used in the research is a qualitative technique which emphasizes the analysis on the inductive inference process. This research uses interview and observation techniques. The research results show that the clove farmer empowerment program not only directly influences the economic aspects of farmers, but also has a widespread impact on society. Adaptive marketing strategies, modern technology training, and increasing farmer incomes play an important role in creating sustainable agriculture and have a positive impact on the lives of local communities. This program can be considered a significant step towards sustainable development at the local level, involving collaboration between government, farmers and communities.
Key words: economic empowerment strategy, farmer economy
ANALISIS MEDIA PEMBELAJARAN DIGITAL BERBANTUAN CANVA DALAM MENUNJANG PEMBELAJARAN EKONOMI DI SMA NEGERI 3 TONDANO
Authors: Manengkey Tasyara kristania , Kawatu Freddy Semuel , Wuisang Jerry
Published: June 2024

ABSTRAK
Penelitian ini membahas tentang Analisis Media Pembelajaran Digital Berbantuan Canva Dalam Menunjang Pembelajaran Ekonomi Di SMA Negeri 3 Tondano. Penelitian ini menggunakan pendekatan kualitatif, dengan teknik pengumpulan data yaitu observasi, wawancara, dan dokumentasi, dengan teknik analisis data melalui reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukan bahwa Pembelajaran di SMA Negeri 3 Tondano akan semakin sukses bila ditunjang dengan penggunaan media pembelajaran digital yang berbantuan canva. Dalam menyelenggarakan pembelajaran guru tentunya harus memerlukan sarana pembelajaran yang menarik. Semakin lengkap dan memadai media pembelajaran digital berbantuan Canva Of Education yang dimiliki sebuah sekolah maka itu akan memudahkan guru untuk melaksanakan Proses belajar mengajar agar menjadi menarik dan tidak monoton. Media pembelajaran digital berbantuan canva harus selalu di kembangkan agar dapat menunjang proses belajar mengajar
Kata kunci : Media Pembelajaran Digital Berbantuan Canva Dalam Menunjang Pembelajaran
 
 
ABSTRACT
This research discusses the analysis of digital learning media assisted by Canva in supporting economic learning at SMA Negeri 3 Tondano. This research uses a qualitative approach, with data collection techniques, namely observation, interviews, and documentation, with data analysis techniques through data reduction, data presentation, and drawing conclusions. The research results show that learning at SMA Negeri 3 Tondano will be more successful if it is supported by the use of digital learning media assisted by Canva. In organizing learning, teachers must of course need interesting learning facilities. The more complete and adequate the digital learning media assisted by Canva Of Education that a school has, the easier it will be for teachers to carry out the teaching and learning process so that it is interesting and not monotonous. Canva-assisted digital learning media must always be developed so that it can support the teaching and learning process
Keywords: Digital Learning Media Assisted by Canva to Support Learning
Localization and Mapping Method Based on Multimodal Information Fusion and Deep Learning for Dynamic Object Removal
Authors: Ma Chong , Cheng Peng , Cai Chenxiao
Published: June 2024

Article
Localization and Mapping Method Based on Multimodal Information Fusion and Deep Learning for Dynamic Object Removal

Chong Ma, Peng Cheng, and Chenxiao Cai *

School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
* Correspondence: ccx5281@njust.edu.cn
 
 
Received: 10 September 2023
Accepted: 25 December 2023
Published: 26 June 2024
 

Abstract: A simultaneous localization and mapping (SLAM) system is presented in this paper based on visual-inertial fusion to solve the pose estimation drift problem caused by weak texture environments or rapid robot movements. The camera and inertial measurement unit (IMU) is initialized through IMU pre-integration and visual front-end processing, and a tightly coupled residual function model is employed in the back-end to eliminate accumulated errors. To realize the real-time pose estimation in the complex loop scene, the sliding window optimization method based on the marginalization strategy is adopted to improve the optimization efficiency of the system, and the loop detection algorithm based on the bag-of-words model is exploited to solve the cumulative error problem generated during long-term operation. Furthermore, because of the interference (of complex scenes with dynamic targets) in system modeling and localization of the environment, this paper introduces a deep-learning semantic segmentation model to segment and eliminate dynamic targets. The system performance test is carried out based on the EuRoC dataset and the KITTI dataset. Finally, the experimental results illustrate that the proposed method has improved system robustness and localization accuracy compared with the pure vision algorithm and the visual-inertial fusion algorithm without removing dynamic targets.
Video Summarization Using U-shaped Non-local Network
Authors: Zang Shasha , Jin Haodong , Yu Qinghao , Zhang Sunjie , Yu Hui
Published: June 2024

Article
Video Summarization Using U-shaped Non-local Network

Shasha Zang 1, Haodong Jin 1,*, Qinghao Yu 1, Sunjie Zhang 1, and Hui Yu 2

1 School of Control Engineering, University of Shanghai for Science and Technology, Shanghai, China
2 School of Creative Technologies, University of Portsmouth, Portsmouth, United Kingdom
* Correspondence: hui.yu@port.ac.uk, 231260086@st.usst.edu.cn
 
 
Received: 22 November 2023
Accepted: 5 March 2024
Published: 26 June 2024
 

Abstract: Video summarization (VS) refers to extraction of key clips with important information from long videos to compose the short videos. The video summaries are derived by capturing a variable range of time dependencies between video frames. A large body of works on VS have been proposed in recent years, but how to effectively select the key frames is still a changing issue. To this end, this paper presents a novel U-shaped non-local network for evaluating the probability of each frame selected as a summary from the original video. We exploit a reinforcement learning framework to enable unsupervised summarization of videos. Frames with high probability scores are included into a generated summary. Furthermore, a reward function is defined that encourages the network to select more representative and diverse video frames. Experiments conducted on two benchmark datasets with standard, enhanced and transmission settings demonstrate that the proposed approach outperforms the state-of-the-art unsupervised methods.
Piracy in Southeast Asia during the COVID-19: Exploring Regional Anti-Piracy Strategies and China’s Involvement
Authors: Luo Liang
Published: June 2024

Recent years have witnessed a pessimistic maritime security environment and an increasing emergence of nontraditional security threats in the Southeast Asian Waters. In early 2020, although the covid-19 outbreak and quickly spread to the world, piracy was still rampant in the Southeast Asian waters. Thus, the fight against piracy became a major challenge for maritime governance. The covid-19 pandemic was a global trigger for weak economic growth and social conflicts. This paper collects the piracy information reported by the International Maritime Organization (IMO), the International Maritime Bureau (IMB) and other institutions. After that, it sorts these reports from different perspectives. Then, it demonstrates the change trend of piracy such as behavior patterns, criminal areas and criminal characteristics. In addition, the paper also suggests that China should actively participate in international anti-piracy cooperation in this region and joins hands with other states in this region and international organizations. In this way, they can prevent and combat crimes, for instance, piracy and armed robbery against ships, and maintain peace and stability in Southeast Asia.
COMPARISON OF BOTULINUM TOXIN VS LATERAL SPHINCTEROTOMY FOR THE TREATMENT OF CHRONIC ANAL FISSURE
Authors: KHAN A , ZARIN M , KHADEEJA .
Published: June 2024

Chronic anal fissure is a distressing condition characterized by a tear or ulcer in the lining of the anal canal. Objectives: The primary aim of this study is to compare the effectiveness of botulinum toxin versus lateral sphincterotomy in the treatment of chronic anal fissures. Methods: This comparative study was conducted at Khyber Teaching Hospital, Peshawar, from 13th August 2023 to 3rd December 2023. Data were collected from 278 patients diagnosed with chronic anal fissure, retrospectively extracted from electronic medical records. A total of 268 patients were included in the analysis, with 134 patients in each treatment group. Baseline characteristics, including age, gender distribution, and duration of symptoms, were recorded for both groups. Results: The mean age of patients in the botulinum toxin group (Group A) was 42.5 ± 8.3 years, and in the lateral sphincterotomy group (Group B) it was 45.2 ± 7.9 years. There were 52% males in Group A and 48% in Group B. The mean duration of symptoms was 10.3 ± 4.7 months in Group A and 11.8 ± 5.2 months in Group B. Symptom resolution was significantly higher in the lateral sphincterotomy group (92%) compared to the botulinum toxin injection group (78%). Conclusion: Lateral sphincterotomy demonstrates superior efficacy in promoting symptom resolution and fissure healing compared to botulinum toxin injection, albeit with a higher risk of complications.
UPAYA PENGEMBANGAN UMKM DALAM PENINGKATAN PENDAPATAN DI UMKM KRULILA KELURAHAN BOJONGBATA KECAMATAN/KABUPATEN PEMALANG
Authors: Suciningtyas Santi , Haryanti Ari Putri , Wahyudi Muhammad Aldi Yulian , Agustina Putri Tia , Prasetyo Arif Hadi
Published: June 2024

Banyak upaya untuk yang perlu dilakukan terkait pengembangan suatu usaha dalam peningkatan laba usaha UMKM.  Penerapan strategi marketing dan pengelolaan sumberdaya manusia  menjadi pilihan untuk pencapaian tujuan yang dinginkan.  Strategi marketing produk dalam hal ini dijelaskan sebagai uraian rencana secara rinci yang berisikan tentang bagaimana cara mengenalkan maupun menjual sebuah produk yang bisa menarik konsumen potensial menjadi konsumen riil. Upaya ini dilakukan untuk memastikan bagaimana sebuah produk dapat dipasarkan secara efektif kepada satu target pasar tertentu.  Sedangkan pengelolaan sumberdaya manusia dalam pembagian tugas yang jelasakan menghasilkan output yang lebih optimal karena adanya speialisasi kerja.
 
Kata kunci: Strategi Marketing, Pengelolaan Sumberdaya Manusia
Peningkatan Kapasitas Keuangan Kampung Garam Desa Tlogopragoto melalui Pelatihan Manajemen Keuangan Dasar
Authors: Hendri Putranto Afif , Panunggul Victor Bintang , Sampurno Carolus Borromeus Krishna
Published: June 2024

Desa Sentra Garam di Desa Tlogopragoto, Kecamatan Mirit, Kabupaten Kebumen memiliki peran vital dalam perekonomian lokal, namun menghadapi tantangan dalam pengelolaan keuangan yang efektif. Kegiatan ini bertujuan untuk meningkatkan kapasitas keuangan kampung garam melalui pelatihan manajemen keuangan dasar. Kegiatan ini dilakukan melalui sesi presentasi, diskusi interaktif, dan praktek simulasi. Evaluasi dilakukan untuk mengukur pemahaman peserta dan dampak penerapan konsep manajemen keuangan. Pelatihan berhasil meningkatkan pemahaman pengurus dan anggota kampung garam tentang pengelolaan keuangan. Dampak positif terlihat dalam peningkatan pencatatan transaksi dan penyusunan laporan keuangan. Evaluasi menunjukkan peningkatan keterlibatan anggota dalam mengawasi keuangan kampung garam
Pengenalan Program Keselamatan dan Kesehatan Kerja Melalui Penerapan 5S Pada Siswa SMK Leonardo Klaten
Authors: Al Hassany Ibnu Rosyid , Nurdin Akhmad
Published: June 2024

SMK Leonardo merupakan salah satu penyelenggara pendidikan jenjang Sekolah Menengah Kejuruan yang terletak di Kecamatan Klaten Utara Kabupaten Klaten.  SMK Leonardo memiliki beberapa jurusan, salah satunya jurusan Permesinan dengan pembelajaran praktikum operasional alat-alat seperti mesin bubut, mesin frais, mesin las, serta mesin manufaktur lainnya. Siswa Permesinan kelas XI SMK Leonardo dalam pembelajaran tentang mesin manufaktur belum dibekali dengan program Kesehatan dan Keselamatan Kerja secara penuh, sehingga diperlukan kampanye terhadap siswa tersebut tentang program Kesehatan dan Keselamatan Kerja yang secara khusus diterapkan di lingkungan permesinan dan manufaktur. Kegiatan pengabdian ini bertujuan untuk memberikan pengetahuan dan wawasan tentang program keselamatan dan kesehatan kerja kepada siswa Sekolah Menengah Kejuruan (SMK) pada Siswa Permesinan kelas XI SMK Leonardo agar lebih memperhatikan tentang resiko kecelakaan kerja saat pembelajaran praktikum, selain itu juga sebagai persiapan menjadi tenaga kerja yang lebih berkompeten didunia industri manufaktur maupun industri lainnya. Hasil kegiatan ini menunjukkan kenaikan pengetahuan tentang Kesehatan dan Keselamatan Kerja secara komulatif yang mencapai kenaikan 68,57%.
PENGEMBANGAN SUMBER DAYA MANUSIA MELALUI BUDAYA ORGANISASI
Authors: Barima Hima , Handayani Juli
Published: June 2024

Kegiatan pengabdian masyarakat dilakukan dengan metode pendekatan secara langsung dan identifikasi masalah di wilayah Desa Kedarpan Kecamatan Kejobong Kabupaten Purbalingga. Manusia, pekerjaan, dan organisasi selalu berubah, individu, kelompok, dan organisasi belajar supaya menjadi lebih efektif, budaya organisasi yang kuat dapat menciptakan Pengelolaan yang baik dan sumber daya manusia yang berkualitas sangat diperlukan perusahaan demi tercapainya tujuan utama organisasi tersebut. Keberhasilan suatu perusahaan dalam mencapai tujuan, tidak terlepas dari peran dan kinerja para pegawai yang ada dalam organisasi tersebut. Pegawai sebagai sumber daya manusia merupakan aset terpenting bagi organisasi karena perannya sebagai pelaksana kebijakan dan kegiatan operasional perusahaan. Untuk itu para pegawai diarahkan agar dapat meningkatkan kinerjanya sehingga memiliki perilaku dan sikap yang mencerminkan tanggung jawab, loyalitas. Adanya budaya organisasi yang kuat maka akan menyebebkan organisasi tersebut lebih baik
PEMBERDAYAAN KELOMPOK WANITA TANI MELALUI PROGRAM LAHAN PANGAN PEKARANGAN MANDIRI
Authors: Mahendra Bayu , Suyatno Sugeng , Suprapto Suprapto , Riyanto Ari Budi , Suwarni Suwarni
Published: June 2024

Pelaksanaan pengabdian ini dilakukan di Desa Senon Kecamatan Kemangkon Kabupaten Purbalingga. Jika dilihat berdasarkan letak geografis posisi Desa Senon sangat strategis sebab dilalui sungai Klawing dan jalan raya sehingga perekonomian mengembang pesat. Selain itu desa ini memepunyai potensi untuk dikembangkan, salah satunya dengan penanaman jumlah tanaman yang dapat digunakan sebagai tanaman pangan dan obat keluarga sebagaimana hal ini menjadi penting karena ketahanan pangan menjadi fokus pemerintah dalam hal pembangunan manusia. Metode Pelaksanaan yang dilakukan pada kegiatan pengabdian ini adalah dalam bentuk penyuluhan menggunakan alat bantu media Audio Visual kepada masyarakat di desa Senon. Hasilnya adalah masyarakat Desa Senon memperoleh pemahaman dan wawasan tentang manfaat tanaman seperti kentang, cabai, tomat, jeruk, jahe dan kunyit untuk dijadikan sebagai konsumsi keluarga dan obat keluarga serta dapat mempraktekannya di lahan masing – masing.
Assessing Intercultural Competence In English Language Learners: Perspectives On Local Cultural Integration In Indonesia
Authors: - Andi Asrifan , Anita Candra Dewi
Published: June 2024

This research examines Indonesian university students' intercultural competence (ICC) development and assessment in English language courses, highlighting the importance of cultural integration and interaction. A detailed case study, the study examines students' encounters with foreign cultures using interviews, focus group discussions, and academic performance analysis against Indonesia's rich cultural diversity and historical context. Local community involvement promotes cultural learning, and Indonesia must continue to improve ICC in EFL teaching. The study also confirms the ICCit instrument's ability to measure intercultural competence's behavioral involvement. This research illuminates the intricacies and context-dependence of intercultural competence and the benefits of cultural integration and understanding for society, which can be used to improve ICC in language education.
English Foreign Language (EFL) Students' Listening Strategies and the Challenges in the Digital Era
Authors: Waloyo Edy
Published: June 2024

One of the most important abilities for learning English well is the capacity to listen, both in formal and informal settings. When studying a language, listening comprehension helps students comprehend a range of spoken texts, from formal speeches to casual conversations. Students who have good listening skills are able to understand key details, determine the main points of the message, and correctly interpret meaning. The teacher's ability to plan the listening exercise aids the students in developing their listening skills. Understanding students' habits when learning to listen is the first step toward a successful teaching career. This research explains the application that was used, the listening tactics employed by the EFL students, and the challenges they had when completing the application. Eighty-two new students in the English Language Teaching Department (ELTD) comprise the research population, and 15 students were interviewed randomly. This study uses qualitative research methods. The information was gathered from observation and interviews. Coding, example-taking, and description were used to analyze the data findings. The findings indicate that when learning to listen, EFL students are more likely to employ metacognitive strategies than cognitive or socio-affective strategies. Students use YouTube, Twitter, Joox, TOEFL, Spotify, Podcasts, Dou Linggo, BBC Learning, Instagram, Praat, Google Translate, Tune In, and Pronunciation in Use as applications for learning to listen. Students face challenges when using applications due to internal factors (students and listeners) as well as external factors (Internet bandwidth and speakers). This finding should aid teachers in creating a listening lesson plan that takes into account the needs and personalities of their students.
A Financial Analysis and Valuation on Disney
Authors: Zhao Xindi
Published: June 2024

This paper focuses on a specific analysis of the corresponding situation of Disney. It introduces the development of Disney as a whole and lists three companies in different industries in the market that compete with Disney in different aspects, namely Netflix, Comcast and Mattel. By collecting and analyzing the corresponding data, the four companies are specifically compared in terms of liquidity, repayment ability and profitability respectively. The result is that Disney's profitability is slightly weaker than that of the other three companies, which may be due to the fact that Disney has a large investment in streaming media, but not resulting in a return that matches it. This paper also analyses Disney's stock market performance in relation to its competitors and shows that although Disney stock is overvalued at this stage, the NTM P/E ratios show that it will improve in the next period. This paper also analyses and summarizes Disney's strategy and risk profile and makes some predictions for the future. This paper believes that in the future Disney will have a better growth and also a better experience for the consumers.
Research on the Innovative Practices of Tourism Platform in Web3.0 - Taking Ctrip Trekki NFT Project as an Example
Authors: Chen Jingyang , Hui Zimeng , Jiang Qingke
Published: June 2024

Against the background of the rapid evolution of the current Web3.0 technology paradigm, blockchain technology is gradually penetrating into the core of the tourism industry, heralding a disruptive industry transformation. This paper focuses on the Trekki NFT project launched by Ctrip as a reference to explore in depth the innovative application of Web3.0 technology in tourism service platforms and the deep-rooted value it implies. This paper firstly elaborates the core concept and key technical architecture of Web3.0, as well as the theoretical connotation and practical boundaries of non-homogenized tokens (NFT). Through a panoramic analysis of the Trekki NFT project, the paper reveals how Web 3.0 technology can stimulate the restructuring of business models of travel platforms, optimize the quality of user experience, and explore new opportunities for industry growth. In particular, the study demonstrates the strategic significance of Web 3.0 technologies in promoting the innovative development and industrial upgrading of the tourism industry. The discussion section of the study has refined a set of strategic frameworks and action recommendations for the deep integration of tourism platforms and Web 3.0 technologies, aiming at guiding and accelerating the technology adoption and progress of the tourism industry in the wave of the digital economy in the future.
Macroeconomic Policy Adjustments on Environmental Protection Effectiveness Research - Based on the DSGE Model
Authors: Peng Liyang
Published: June 2024

Through the dynamic stochastic general equilibrium model (DSGE model), this article explores the balance between economic development and environmental protection, focusing on the in-depth mutual influence among economic agents such as households, banks, producers, and government in promoting economic growth and achieving environmental protection. The model comprehensively considers factors such as production technology, carbon tax policies, bank loan rates, and government fiscal policies, aiming to analyze the specific impacts of these factors on economic growth, environmental protection, and social welfare. By detailed settings and analysis of consumption, savings, and labor supply decisions of households, the financial intermediary role of the banking sector, and carbon emissions and environmental technology use in the production sector, this study provides theoretical support for an environmentally friendly economic growth path. Through policy analysis, this article reveals the short-term and long-term effects of positive technological shocks, taxation on energy firms' loan rates, carbon tax policies, and government spending on the economy and the environment, providing a theoretical basis and reference for formulating relevant economic and environmental policies. The results indicate that appropriate macroeconomic policies can effectively promote economic growth while reducing carbon emissions and enhancing social welfare.
Stock Prices Forecasting and Optimization Strategies Based on Support Vector Machines
Authors: Qiu Junyuan , Xu Jiahao , Yu Zirui
Published: June 2024

With the global trend of digitization gaining prominence, the usage of machine learning methods such as Support Vector Machines and Reinforcement Learning for stock price prediction is becoming a hot topic. Over the past 40 years, China's economic market has undergone significant changes since the country's reform and opening up. In this study, the closing price and return of China's CSI 300 stock index are used as the database, and various data processing methods such as wavelet domain denoising, RSI screening and various SVM model optimization methods such as grid search and cross-validation are used to predict the upward or downward trend of stocks on the day after. The results of the study are presented by the model evaluation report and the heat map of the confusion matrix, which shows that the model prediction accuracy is 61% with the default parameters, and the accuracy improves to 67% after optimization. The results indicate that support vector machines are effective in stock price prediction, but there is still room for further improvement. This paper offers a potential approach that can increase return on investment and assist investors and financial institutions in making more informed investment decisions.
Whether Silver Serves as a Safe-Haven for Crude Oil
Authors: Chen Keyu
Published: June 2024

In times of economic turbulence and geopolitical uncertainty, the fluctuations in crude oil prices can be particularly pronounced, posing significant challenges to investors by heightening market risks. This study sets out to explore the multifaceted landscape of risk associated with both crude oil and silver assets, with a specific focus on portfolio volatility. Through meticulous analysis guided by the Sharpe ratio, we aim to delineate an in-depth understanding of the efficient frontier, comparing portfolio performance against that of the S&P 500 index, especially during periods characterized by extreme market volatility. Our empirical investigations underscore that while silver displays certain tendencies towards risk aversion, it does not meet the criteria to be deemed a dependable "safe-haven" asset in the context of crude oil. These findings have significant implications, providing a catalyst for driving innovation and fortitude across interconnected domains. By enhancing our comprehension of portfolio dynamics in turbulent market environments, this research contributes to the advancement of strategies aimed at navigating risks effectively.