bluuebunny/crossref_metadata_2025 huggingface dataset:
Collective nouns in the Green Line and Access series : Comparing textbook language with natural usage data
Authors: Ledermann Anna Christine
Published: June 2024

German textbooks of English influence their users’ acquisition of agreement patterns with collective nouns in two ways. On the one hand, the use of collective nouns throughout the textbooks serves as a language model for students, and on the other hand, their grammar sections provide explicit rules on agreement patterns with collective nouns. The present study analyzes both these aspects in the LehrplanPLUS versions of the textbook series Green Line and Access for Bavarian secondary schools (Gymnasien) and compares them to native speaker data from Levin (2001). Although this comparison shows that the agreement patterns with collective nouns throughout the textbooks support their nativelike acquisition, the grammar sections show some deficits that might inhibit the nativelike acquisition of agreement patterns with collective nouns.
DA'I COMPETENCE IN THE DIGITAL ERA (CASE STUDY OF NING UMMI LAILA'S DA'WAH DELIVERY)
Authors: Hanifah Najmy , Ramadhan Zukhrufi Izza , Diansah Edo Ardo Arta , Prasongko Wahyu Agung , Aziz Moh. Ali , Mualimin
Published: June 2024

One of the biggest changes is the surge in the number of new da'i appearing on various online platforms. This phenomenon can be considered a positive outcome of the increasing global connectivity in the digital era. This research uses descriptive qualitative research with a case study approach to da'iyah Ning Ummi Lailatul Rahma Hadi as a young preacher who is in the media spotlight based on the perspective of 'Abd Karim Zaidan. The results of the study are Ning Ummi Laila has religious knowledge competence, faith and spirituality in Allah SWT, has good morals and the ability to use social media in da'wah.
Model Of Digital Transformation in Banking Sector
Authors: Vebtasvili Vebtasvili
Published: June 2024

Digital transformation has become the foundation for building policy, organizational, and HR transformations. The paper estimates a model of digital transformation in banking sector reflect on the phenomenon, the literature from multiple fields, and case studies. The data is used from the case of The Financial Services Authority (OJK) and Bank Indonesia. The finding shows that the internal factors, external factors, and risks could determine whether the implementation of the digital transformation model succeeds. There are still many improvements to integrate overall and work for the digital transformation.
Analysis of Factors Affecting Intention to Use Fintech & E-Commerce for SMEs
Authors: Rafinda Ascaryan , Bahy Raihan Rauf  , Eliada Hewiyanti
Published: June 2024

This research aims to identify and analyze the interest in the adoption of fintech and e -commerce applications among Micro, Small, and Medium Enterprises (UMKM) actors in Kebumen Regency, which is influenced by risk factors, self-confidence, subjective norms, perceived ease of use, and perceived usefulness. The methods used include multiple regression analysis, t-test, F-test, and coefficient of determination. The results of this study indicate that (1) risk does not have a significant negative influence on the interest in adopting fintech and e -commerce, (2) self-confidence has a significant favorable influence on the interest in adopting fintech and e -commerce, (3) subjective norms do not have a significant favorable influence on the interest in adopting fintech and e -commerce, (4) perceived ease of use does not have a significant favorable influence on the interest in adopting fintech and e - commerce, (5) perceived usefulness has a significant favorable influence on the interest in adopting fintech and e - commerce.
Financial Statement Fraud Analysis: Financial Stability, External Pressure and Auditing Quality
Authors: Honesty Helga Nuri , Fiola Finomia Honesty  , Mia Angelina Setiawan
Published: June 2024

Fraudulent on financial statements is increasing nowadays. The impact is not only felt by investors but also affects global economic stability. This research aims to collect empirical data to determine whether financial stability, external pressure, and audit quality partially and simultaneously influence financial statement fraud. The research objects are companies from the property and real estate sector listed on the Indonesia Stock Exchange, in 2020 - 2022. Multiple regression analysis was used to test the hypothesis on this research's panel data. The results of data processing indicate that external pressure has a positive effect on financial report fraud, while audit quality and financial stability do not influence financial report fraud.
Language Crime: Potential Defamation and Criminality in Fake News From a Forensic Linguistic Perspective
Authors: Khoirunnisa Krismonika , Kulsum Umi , Roesmiati Dian
Published: June 2024

Bahasa dan media merupakan topik yang menarik untuk dikaji. Mengingat bahasa memiliki kriteria di masyarakat, maka media tidak akan luput untuk menjadi alat berkomunikasinya. Seiring berjalannya waktu, bahasa memiliki banyak variasi yang tidak dapat dilihat dari satu aspek saja, melainkan perlu dilihat dari aspek penyerta lainnya. Salah satunya adalah aspek “Mengapa”. Aspek “Mengapa” dalam bahasa khususnya media pemberitaan kini menjadi sasaran mengapa hal sedemikian dapat muncul di masyarakat, salah satunya adalah berita palsu (hoax).
Artikel penelitian ini merupakan jenis penelitian deskriptif kualitatif. Penelitian ini mengambil topik linguistik forensik yang didasarkan dari kejahatan berbahasa di media. Jenis penelitian ini adalah kualitatif dengan metode deskriptif. Tujuan dilakukannya penelitian ini adalah (1) mendeskripsikan bentuk kejahatan berbahasa apa saja yang terdapat pada penyebaran berita palsu (hoax) dalam pemberitaan “Sertifikat Vaksin Resmi Tanpa Vaksinasi” dan (2) mendeskripsikan aspek sudut pandang komprehensif dan kebermanfaatannya di masyarakat. Data pada penelitian ini adalah bentuk kejahatan berbahasa aspek pencemaran nama baik dan kriminalitas pada berita atau foto yang beredar seputar pemberitaan “Sertifikat Vaksin Resmi Tanpa Vaksinasi”.
Sumber data yang digunakan dalam penelitian ini adalah media online yang memberitakan adanya berita palsu (hoax) seputar “Sertifikat Vaksin Resmi Tanpa Vaksinasi”. Jenis teknik pengumpulan data menggunakan teknik baca markah (baca-catat). Teknik ini digunakan peneliti untuk memilah dan memilih data yang sesuai dengan topiknya. Teknik penganalisisan data dilakukan dengan cara pengumpulan data, reduksi data, dan penyajian data. Hasil pada penelitian ini ditemukan bahwa dengan adanya media yang semakin luas macam dan pembahasannya, berita tersebut dapat menjadi pemberitaan yang simpang-siur dan berkemungkinan menjadi berita palsu (hoax), mengingat bahasa dan masyarakat tidak dapat dilihat dari satu aspek saja. Sehingga dengan adanya berita yang beredar itulah, dapat mengakibatkan pencemaran nama baik dan kriminalitas bagi pihak-pihak yang bersangkutan atau pihak yang merasa dirugikan.
Kata kunci: Berita palsu, kejahatan berbahasa, pencemaran nama baik, kriminalitas, linguistik forensik
Study of Directive Speech Acts in Online Loans Advertisement Discourse
Authors: Putri Yusriani Febrian Ramadani , Setiawati Eti
Published: June 2024

This study aims to describe the types and functions of directive speech acts in online loan advertising discourse, as well as describe the effects that will results from the directive speech acts. The research was conducted using descriptive methods and approaches. The type of research used in the process of compiling this article is qualitative research. The data source that will be used in this study is online loan advertisements on social media. The data from the research carried out is in the form of excerpts of sentences in online loans advertisements that adjust to directive speech acts. The technique that will be used in data collection is using the documentation method and the note-taking method. Then the data analysis in this study is in the form of qualitative data analysis and pragmatic equivalent methods. Researchers get the results of research conducted based on directive speech acts in the discourse of online loan advertisements, there are types of directive speech acts in the form of inviting, ordering, and advising. Another result is the function of directive speech acts in the form of ordering, pleading, advising, suggesting and opposing. And the effect of each function of the directive speech act.
Tinjauan Yuridis Tindak Pidana Menjanjikan Atau Memberikan Uang (Money Politic) Dalam Pemilihan Umum (Studi Kasus Putusan 184/Pid.Sus/2019/Pt. Mks)
Authors: Wahyudi Endik
Published: June 2024

Pemilu di Indonesia harus dilaksanakan secara tertib dan bersih sesuai yang diatur dalam Undang-Undang No. 7 tahun 2017 tentang Pemilihan Umum, yang melarang praktik politik uang atau “money politic”, meskipun hal ini sering terjadi karena banyaknya peserta pencalonan. Penelitian ini kemudian membahas bagaimana pengaturan tindak pidana menjanjikan atau memberikan uang dalam Undang-Undang No. 7 tahun 2017 tentang Pemilihan Umum, dan bagaimana kajian pertimbangan hukum hakim melalui studi kasus Putusan No. 184/PID.SUS/2019/PT. MKS.  Penelitian ini menggunakan metode penelitian normatif melalui pendekatan peraturan perundang-undangan, literatur dan bahan ilmiah lain.  Hasil penelitian ini menunjukkan bahwa terdapat kelemahan dalam rumusan pasal-pasal yang mengatur tindak pidana pemilu politik uang, dan potensi timbulnya ketidakpastian hukum dalam putusan bebas terkait. Semestinya dalam perumusan sanksi dalam pasal terkait menjanjikan atau memberikan uang mencantumkan ketentuan minimum dalam pidana pokoknya, yaitu pidana penjara dan denda agar permasalahan tidak terjadi dalam praktek. Melalui kajian teori, pertimbangan hakim dalam Putusan No. 184/PID.SUS/2019/PT. MKS dirasa kurang tepat. Maka dari itu, perlu adanya perkembangan dan perbaikan dalam menegakkan hukum di kala maraknya politik uang di Indonesia.  Maka dari itu, diperlukan  pembaharuan regulasi Pemilu yang jelas (lex certa) dan tegas (lex stricta).
Progress in clinical diagnosis and treatment of colorectal cancer with rare genetic variants
Authors: Chen Shuyi , Gu Jing , Wu Kaichun , Zhao Xiaodi , Lu Yuanyuan
Published: June 2024

Targeted therapy is crucial for advanced colorectal cancer (CRC) positive for genetic drivers. With advances in deep sequencing technology and new targeted drugs, existing standard molecular pathological detection systems and therapeutic strategies can no longer meet the requirements for careful management of patients with advanced CRC. Thus, rare genetic variations require diagnosis and targeted therapy in clinical practice. Rare gene mutations, amplifications, and rearrangements are usually associated with poor prognosis and poor response to conventional therapy. This review summarizes the clinical diagnosis and treatment of rare genetic variations, in genes including erb-b2 receptor tyrosine kinase 2 (ERBB2), B-Raf proto-oncogene, serine/threonine kinase (BRAF), ALK receptor tyrosine kinase/ROS proto-oncogene 1, receptor tyrosine kinase (ALK/ROS1), neurotrophic receptor tyrosine kinases (NTRKs), ret proto-oncogene (RET), fibroblast growth factor receptor 2 (FGFR2), and epidermal growth factor receptor (EGFR), to enhance understanding and identify more accurate personalized treatments for patients with rare genetic variations.
MicroRNA-384 radiosensitizes human non-small cell lung cancer by impairing DNA damage response and repair signaling, which is inhibited by NF-κB
Authors: Sun Yanchen , Wang Jing , Qiu Minghan , Zhao Jinlin , Zou Fangdi , Meng Maobin , Jiang Xiangli , Yuan Zhiyong , Mi Zeyun , Wu Zhiqiang
Published: June 2024

Objective: Radiotherapy has achieved remarkable effects in treating non-small cell lung cancer (NSCLC). However, radioresistance remains the major obstacle to achieving good outcomes. This study aims at identifying potential targets for radiosensitizing NSCLC and elucidating the underlying mechanisms. Methods: Lentivirus-based infection and CRISPR/Cas9 technology were used to modulate the expression of microRNA-384 (miR-384). Cell clonogenic formation assays and a xenograft tumor model were used to analyze radiosensitivity in NSCLC cells. Fluorescence-activated cell sorting was used to assess the cell cycle and cell death. Immunofluorescence staining, Comet assays, and homologous recombination or non-homologous end-joining I-SceI/GFP reporter assays were used to study DNA damage and repair. Western blotting and quantitative real-time polymerase chain reaction were used to identify the targets of miR-384. Chromatin immunoprecipitation and polymerase chain reaction were performed to evaluate upstream regulators of miR-384. Results: MiR-384 was downregulated in NSCLC. Overexpression of miR-384 increased the radiosensitivity of NSCLC cells in vitro and in vivo, whereas knockout of miR-384 led to radioresistance. Upregulation of miR-384 radiosensitized NSCLC cells by decreasing G2/M cell cycle arrest, inhibiting DNA damage repair, and consequently increasing cell death; miR-384 depletion had the opposite effects. Further investigation revealed that ATM, Ku70, and Ku80 were direct targets of miR-384. Moreover, miR-384 was repressed by NF-κB. Conclusions: MiR-384 is an ionizing radiation-responsive gene repressed by NF-κB. MiR-384 enhances the radiosensitivity of NSCLC cells via targeting ATM, Ku80, and Ku70, which impairs DNA damage repair. Therefore, miR-384 may serve as a novel radiosensitizer for NSCLC.
Population growth in Mexico and its impact on mitigation components of nationally determined contributions
Authors: Sandoval García Edgar Roberto , Matsumoto Kuwabara Yasuhiro
Published: June 2024

By 2050, most of the population in Mexico will be between 44 and 50 years old. By 2100, the population is expected to decrease to 116 million, 9% less than in 2020. Mexico recently ratified its commitment to face the planetary climate crisis by updating its nationally determined contribution, increasing its goal of reducing greenhouse gases from 22% to 35% by 2030. The main goal of this article is to estimate carbon emissions in 2018 (pre-pandemic conditions) of selected mitigation components and compare them with estimated values for 2030, considering the population variation under a business-as-usual scenario. If growth takes place at an exponentially compounded rate, this projection exercise shows that by 2030, the transport sector (private and public) could reduce its CO2 emissions by 21%, the residential sector will increase its CO2 emissions by 4.1%, and the municipal waste sector would increase its methane emissions by 10%. It is advisable to quantify the differentiated impact of climate change on the lives of diverse population groups, and after evaluating the effectiveness of solutions that reduce the exposure of these groups to climate change, to enhance their role as agents of climate action in terms of decarbonization and/or resilience to its effects.
Theory of Major and Minor Numerical Progressions
Authors: Cardoso Carlos Eduardo Ramos
Published: June 2024

O estudo apresenta uma afirmação e explicação de que ocorrem progressões numéricas maiores e menores que dependem da representação contida no espaço físico. Em casos gerais, números maiores são múltiplos e números menores são simples, porque vários números contêm mais números em muitos espaços físicos do que números simples. Em casos específicos, dependem da afirmação do que é a representação específica, podendo ocorrer realidades diferentes de casos gerais. Além disso, a teoria explica a mudança no número de números primos.
The Role of Supply Chain Partnerships in Enhancing Brand Value: A Qualitative Study of Collaborative Marketing Efforts
Authors: Holloway Samuel
Published: June 2024

This qualitative study explores the role of supply chain partnerships in enhancing brand value through collaborative marketing efforts. By analyzing diverse cases from industries including consumer electronics, apparel, automotive, and food and beverage, the research examines how different forms of partnerships—strategic alliances, co-marketing, joint ventures, and supplier integrations—contribute to brand value. The study employed a multiple case study design, incorporating semi-structured interviews, document analysis, and participant observations to gather data. The findings reveal that these partnerships enable companies to leverage complementary strengths, resulting in enhanced innovation, product quality, sustainability, market reach, and ethical standards. Collaborative marketing strategies such as joint product launches, sustainable branding campaigns, and co-developed customer programs are identified as key drivers of brand value, effectively increasing brand awareness, customer loyalty, market share, and perceived quality. Despite challenges like coordination complexity, goal misalignment, cultural differences, and cost management issues, the benefits realized—such as improved brand image, faster time-to-market, and reduced costs—demonstrate the substantial value of effective supply chain partnerships. The study underscores the importance of strategic alignment between supply chain activities and brand objectives, highlighting that successful partnerships foster deeper consumer engagement and stronger market positions. This research provides actionable insights for companies seeking to optimize their supply chain collaborations to enhance brand value, offering a foundation for future studies and practical applications in supply chain management and marketing. The findings contribute to a deeper understanding of how supply chain partnerships can be strategically managed to drive brand excellence in a competitive market environment.
Dynamic Characterization of Microscopic Pore Structure in Mid-High Permeability Sandstones during Long-term Water-flooding
Authors: Wu Jiayi , Zhu Yan , He Yuhang , Wang Qingyu , Guo Junhui , Shao Shuai , Li Rubin , Bao Yi
Published: June 2024

Most of the mid-high permeability sandstone oilfields in China have entered the ultra-high water cut stage, accompanied with the highly-dispersed residual oil, and the control effect of mi-cro-heterogeneity on the residual oil is increasingly prominent. Understanding the microscopic characteristics of pore structural and its evolution during the long-term waterflooding is critical for enhancing the accuracy and efficiency of oil field exploitation. While the previous insights paid more attention to the geometrical and morphological features of pore structure and ignores the relation of pore structure with the fluid flow capacity. In this study, we propose a microscopic pore structure classification method considering pore size and local permeable capacity, which realizes the physical classification and quantitative evaluation of pore structure characteristics for different permeability rocks. The micro-pore structure is classified into 6 types based on the key evaluation parameters of pore diameter and flow flux area. By taking six mid-high permea-bility sandstone core samples from Daqing oilfield in China, a series of long-term waterflooding experiments are carried out and the interior pore structure was captured using high precision CT scanning technique. The results reveals that high-permeability reservoirs exhibit concentrated pores diameters and finer throats, whereas mid-permeability reservoirs exhibit smaller pores and throats in greater quantity. With the increase of water injection volumes, the permeable ca-pacity and connectivity of the high-connectivity pore space in ultra-high- and high-permeability reservoirs are enhanced, and in mid-permeability reservoirs, the micro-heterogeneity intensifies the increase in low-connectivity small pores. These findings provide new insights for the micro-scopic heterogeneity and a solid theoretical basis for investigating the occurrence of microscopic residual oil and optimising enhanced oil recovery strategies at the late stage of ultra-high water cut.
Lipid Metabolism in Relation to Carbohydrate Metabolism
Authors: Akiki Perla , Delamotte Pierre , Montagne Jacques
Published: June 2024

Carbohydrates and lipids integrate into a complex metabolic network that is essential to maintain homeostasis. In insects, as in most metazoans, dietary carbohydrates are taken up as monosaccharides whose excess is toxic, even at relatively low concentrations. To cope with this toxicity, monosaccharides are stored either as glycogen or neutral lipids, the latter constituting a quasi-unlimited energy store. Breakdown of these stores in response to energy demand depends on insect species and on several physiological parameters. In this chapter, we review the multiple metabolic pathways and strategies linking carbohydrates and lipids that insects utilize to respond to nutrient availability, food scarcity or physiological activities.
Cooking Spices: Potential Modulators for Gut Dysbiosis and Role in Therapy
Authors: Panse Rupali
Published: June 2024

Abstract:
Background:
The gut microbiota, a diverse community of microorganisms in the gastrointestinal tract, is essential for human health, primarily through nutrient metabolism and production of anti-inflammatory short-chain fatty acids. Dysbiosis, a disruption in microbial composition, is linked to diseases like inflammatory bowel disease, colorectal cancer, obesity, diabetes, asthma, and allergies. Dietary habits significantly influence gut microbiota diversity, with balanced diets crucial for maintaining microbial equilibrium. Culinary herbs and spices, known for their antioxidant and antimicrobial properties, may positively modulate the gut microbiota by inhibiting inflammation, stimulating beneficial bacteria, and exhibiting prebiotic effects.
Methods:
A comprehensive literature search was conducted using the PubMed database to identify relevant research articles on the impact of culinary spices on the gut microbiome. The search terms included "culinary spices," "gut microbiome," "gut modulation," "gut dysbiosis," "common spices," and "gut health." Thirty-five articles published between 2016 and 2024 were reviewed, with eight directly addressing the effects of culinary spices on gut microbiome modulation. Priority was given to peer-reviewed journals and reputable scientific sources.
Results:
Studies demonstrate that mixed spices and individual spices like ginger, turmeric, and chili can induce favorable changes in gut microflora, promoting beneficial probiotics and inhibiting pathogenic bacteria. Spices such as turmeric and curcumin exhibit potent anti-inflammatory properties, contributing to their protective effects against chronic diseases like colon cancer and metabolic disorders.
Conclusions:
Incorporating culinary spices into dietary interventions is important for overall well-being. Further research is needed to elucidate the mechanisms of action and optimize the therapeutic applications of spices in clinical settings.
Hand Gestures Recognition System
Authors: JAGLI DHANAMMA SHANKAR , Kumari Nitu , Nakirekanti Laxmi
Published: June 2024

Abstract: Hand gestures are an essential kind of nonverbal communication that let people engage and be expressive with one another. As technology has progressed, hand gesture recognition systems have become an important field of study, providing a link between human activities and artificial intelligence. An overview of the field of hand gesture recognition systems is given in this abstract, along with an explanation of its importance, difficulties, and possible uses. This abstract begins by examining the role that hand gestures have in communication. It then goes on to show the cultural significance and wide range of variations in gestural expressions that occur in many contexts and societies. Artificial intelligence systems face a unique problem in comprehending and interpreting these motions, which calls for the combination of computer vision, machine learning, and pattern recognition approaches. The abstract goes on to address why people develop hand motions. The purpose behind creating systems to recognize hand gestures is also covered in the abstract, with a focus on how these systems could improve human-computer interaction in several fields, including robotics, virtual reality, healthcare, and assistive technologies. These systems have the potential to enhance accessibility, efficiency, and user experience by allowing people to engage with devices and interfaces naturally and intuitively. The abstract also discusses environmental elements including backdrop clutter and lighting, as well as the technological difficulties in identifying and understanding hand gestures, which include variations in hand forms, orientations, and movements. To tackle these obstacles, strong algorithms that can record and interpret complex hand movements in real-time must be developed.
Opportunities and Challenges Impeding the Adoption of Community Engagement and Service Learning in African Higher Education Institutions: A Minireview and Perspective
Authors: Nchu Felix
Published: June 2024

The higher education sector in Africa has experienced remarkable growth over the past decades, enrolling and graduating millions of students annually. Despite this progress, high unemployment rates among graduates and pervasive underdevelopment have raised questions about the relevance of higher education in Africa. Critics have intensely scrutinized the quality of curricula, highlighting a significant mismatch between the skills offered and the demands of the job market. This disconnect is often due to curricula that are unresponsive to both job requirements and students' needs. Enhanced pedagogical approaches are essential to address this issue. Community engagement and service learning (CE&SL) offer promising solutions by bridging the gap between theoretical knowledge and practical application. Recognizing the potential benefits, higher education institutions across the continent are gradually integrating CE and SL into their teaching and research frameworks. However, the adoption of these approaches has been slow.
This paper explores the opportunities and challenges hindering the effective and widespread implementation of CE and SL in African higher education institutions and proposes practical strategies to overcome these obstacles. By embracing these innovative approaches, African universities can better prepare graduates for the dynamic job market and contribute more effectively to the continent's development.
A natural language processing model for the development of an Italian-language chatbot for Public Administration
Authors: Piizzi Antonio , Vavallo Donatello , Lazzo Gaetano , Dimola Saverio , Zazzera Elvira
Published: June 2024

Natural language processing model (NLP) are used in chatbots to understand user input, interpret its meaning, and generate conversational responses to provide immediate and consistent assistance. This reduces problem-solving time and staff workload and increases user satisfaction. There are both rule-based chatbots, which use decision trees and are programmed to answer specific questions, and self-learning chatbots, which can handle more complex conversations through continuous learning about data and user interactions. However, only a few chatbots have been developed specifically for the Italian language. This work proposes an NLP model to develop a powerful and efficient Italian QA (Question Answering) chatbot that is easy to use for Italian Public Administration (PA). The proposed model is based on BERT (Bidirectional Encoder Representations from Transformer) architecture, where an Encoder/Decoder module and a Highway Network module have been added to perform more efficient filtering of input text. The Italian version of the Stanford Question Answering Dataset (SQuAD-IT) is used to test the proposed model. The proposed model is one of the first models developed for Italian language-specific chatbots.
Physical, Chemical and Antibacterial Characterization of Hand Sanitizer Lotion Made on Brown Seaweed (Scytosiphon lomentaria)
Authors: Lailatussifa Radipta , Trowulan Endang , Suhono Lego , Sutrisno Sutrisno
Published: June 2024

Although a lot of research has been carried out on hand sanitizer as an effort to prevent Covid-19, there is still limited research on non-alcoholic hand sanitizer lotion from the brown algae Scytosiphon lomentaria (S. lomentaria) as a raw material that provides antibacterial effects and maintains healthy skin. Therefore, this study aimed to analyze microbial inhibitory ability, physical and chemical characteristics of hand sanitizer lotion made from S. lomentaria algae. S. lomentaria powder was tested for phytochemicals, total phenolic content, free radical scavenging activity (IC50), and antibacterial tests. S. lomentaria slurry was prepared by adding distilled water (1:1) for lotion preparations in four treatment groups, such as normal control (lotion base without adding algae), lotion with the addition of algae 20%, 30%, and 40%. The lotion preparations for each treatment group were tested for antibacterial activity of Staphylococcus aureus and Escherichia coli, phytochemicals, pH, adhesion, spreadability, homogeneity, emulsion type, and hedonic. S. lomentaria powder contains bioactive polyphenolic compounds with a total phenolic content of 117.70±1.40 mg GAE/g dry weight and an IC50 value of 455±3.4 ppm, while lotion with the addition of S. lomentaria contains polyphenols and saponins The best treatment was shown by 40% S. lomentaria hand sanitizer lotion with inhibition of 6.30 ± 0.64 mm E. coli, 6.85 ± 1.12 mm S. aureus, hedonic test for color, texture and absorption with likes to likes very much level, neutral pH, greenish-white color, O/W emulsion type, high adhesion, homogeneous, and easily absorbed by the skin. This research can be an alternative reference in making non-alcoholic hand sanitizer lotion that is safe for the skin.
The Correlation between Cycling Infrastructure and the Fatal Accident Rate of Cyclists – Comparison of Slovakia, Poland and the Netherlands
Authors: Gogola Marian , Senko Šimon
Published: June 2024

Bicycle transport stands at the forefront of sustainable mobility initiatives, a cornerstone of European Union policy. While support for cycling is crucial, its advancement hinges upon the presence of high-quality, secure infrastructure for cyclists. Safety emerges as a paramount concern, influencing the viability of cycling as a mode of transportation, yet its perception varies among user demographics. Considering this, this article endeavours to examine and contrast cycling infrastructure across various European nations, alongside analysing statistics pertaining to fatal traffic accidents involving cyclists. In our paper, we have chosen the Netherlands as a representative of building quality cycling infrastructure with many years of experience, and two countries that are developing conditions for cyclists, Slovakia and Poland. We have applied a correlation between the length of the transport infrastructure and the number of cyclists killed. The findings point to the substantial correlation between the quality of cycling infrastructure and the incidence of accidents. This correlation underscores the pressing need for robust infrastructure development and safety measures to bolster cycling as a safe and viable transportation option. We have employed the Shapiro-Wilk test for normal distribution to verify the input data and process the Pearson correlation to investigate the correlation between cycling infrastructure and road accident fatalities of cyclists.
Leveraging Data Warehousing for Healthcare Delivery – A case of Outpatient Department
Authors: Obbo Aggrey , Wasswa William , Basaza-Ejiri Annabella
Published: June 2024

Mortality rates in sub-Saharan Africa remains unacceptably high, and disproportionately affecting economically disadvantaged communities. And healthcare delivery which is considered a major contributor to this is challenged by the limited resources and high service costs, prompting many patients to opt for outpatient department services. This study addresses the need for a data-driven approach to healthcare policy formulation by proposing a model for the implementation of a data warehousing system that integrates outpatients into the national healthcare framework. By leveraging data warehousing, healthcare delivery can be made more efficient through a robust repository that supports decision-making and policy formulation. The research focuses on the outpatient department in resource-scarce settings, proposing a novel multidimensional data model and practical framework implementation. The benefits include improved patient experiences, cost-effective service delivery, and enhanced patient management through electronic health records. Additionally, mobile apps are explored for patient navigation and reminders to enhance treatment adherence. The study’s results indicate that data warehousing can significantly improve healthcare delivery by consolidating critical data and facilitating better planning, resource allocation, and policy formulation. Ultimately, this approach offers valuable insights for optimizing healthcare systems in resource-constrained environments, enabling data-driven policies, and improving health outcomes across sub-Saharan Africa.
Quantum-Tunnelling Deep Neural Networks for Sociophysical Neuromorphic AI
Authors: Maksymov Ivan
Published: June 2024

The discovery of the quantum tunnelling effect---the transmission of particles through a high potential barrier---was one of the most impressive achievements of quantum mechanics made in the 1920s. Responding to the contemporary challenges, I introduce a novel deep neural network (DNN) architecture that processes information using the effect of quantum tunnelling. I demonstrate the ability of the quantum tunnelling DNN (QT-DNN) to recognise optical illusions like a human. Hardware implementation of QT-DNN is expected to result in an inexpensive and energy-efficient neuromorphic chip suitable for applications in autonomous vehicles. The optical illusions recognition tests developed in this paper should lay foundations for cognitive benchmarking tasks for AI systems of the future, benefiting the fields of sociophysics and behavioural science.
Aspek Yang Mempengaruhi Kualitas Informasi Laporan Keuangan
Authors: Umam M Sulkhanul , Adyaksana Rahandhika Ivan , Ayu Lestari Tantri Dyah
Published: June 2024

The hotel industry is needed to significantly increase welfare and economic recovery after COVID-19. The high growth of the hotel industry must be balanced with quality financial management and reporting because many parties use financial reports as a basis for decision-making. The research examined the influence of accounting understanding, utilization of information technology, internal control systems, and human resource competency on the quality of financial statements. This research uses a quantitative approach with questionnaire tools distributed to 56 hotels with 4-star and 5-star hotel classifications. The research results show that understanding accounting, information technology utilization, internal control systems, and human resource competency influence the quality of financial statements. Fulfillment of the elements can be achieved by an adequate understanding of accounting from the personnel who prepare financial reports, the use of technology used by the company to increase the accuracy and availability of reports, a control system to minimize fraud, and competent human resources so that the rules present reports.
Peningkatan Keterampilan Menulis Siswa Melalui Permainan Edukasi Berbasis Bookwidgets Bermuatan Kearifan Lokal
Authors: Puspitasari Mega , Farahiba Ayyu Subhi
Published: June 2024

Penelitian ini bertujuan untuk mendeskripsikan peningkatan keterampilan menulis siswa pada materi teks laporan hasil observasi melalui permainan edukasi berbasis bookwidgest bermuatan kearifan lokal Madura. Jenis penelitian adalah penelitian Tindakan kelas (PTK) dengan menggunakan dua siklus. Subjek penelitian berjumlah 27 siswa kelas X MA Mambaul Ulum 2 Pamekasan. Teknik pengumpulan data menggunakan Teknik observasi dan tes. Hasil penelitian menunjukkan pada siklus I rata-rata nilai siswa sebesar 78,25 dan siklus II sebesar 83,14 terdapat peningkatan sebesar 4,89. Hasil peningkatan nilai siswa menunjukkan bahwa permainan edukasi berbasis bookwidgest bermuatan kearifan lokal Madura dapat meningkatkan keterampilan menulis teks laporan hasil observasi.
The Kanjuruhan Tragedy in Online News: A Critical Discourse Analysis of Michel Foucault's Model
Authors: Ni'mah Maftuhah Salamatun , Hidayatullah Ahmad Diny , Masrokhin Masrokhin
Published: June 2024

The Kanjuruhan tragedy was a major disaster that occurred in Indonesia, and this event was able to attract the attention of foreign news, as evidenced by the fact that several foreign platforms also reported on it. it can really understand the meaning. This research aims to determine the relationship and power of online news portals and the impacts that occur. This research is a qualitative descriptive research with a data analysis model using electronic media analysis consisting of media space, media archives, media objects and experiences. The primary data source is the Kanjuruhan tragedy news text from the BBC Arabic, CNN Arabic and Al Jazeera portals. The secondary data source is the use of literature related to Michel Foucault's critical discourse. The results of the research are the relations of power and knowledge that occur, including the police, FIFA, society, law, football teams, government authorities, and PSSI. The impact of knowledge and power relations resulted in legal authorities taking action to punish football officials responsible for the Kanjuruhan tragedy, regulations regarding FIFA prohibiting the use of tear gas, which were violated, caused FIFA to distrust the police, the police is in the spotlight public because using authority is not according to norms.
Keywords: Cyber Media, Michel Foucault's Critical Discourse, Online News Portal,  Power and Knowledge Relations, The Kanjuruhan Tragedy
Test Analysis of Durūs Al-Lughah Al-Arabiyyah Volume 1 by Imam Zarkasyi and Imam Syubani
Authors: Siregar Amy Fitriani , Mokodompit Siti Nurhasana , Muhajir Muhajir , Alfiroh Nila
Published: June 2024

A good test form can measure student’s real abilities and trigger students' cognitive abilities. The main problem in this study, whether the test form in the Durūs Al-Lughah Al-Arabiyyah book has met good criteria based on the cognitive domains. This study aims to analyze the test in the book of Durūs Al-Lughah Al-Arabiyyah by Imam Zarkasyi and Imam Syubani. This book is widely used in various institutions, and gave birth to many Arabic language experts, Therefore, the researcher wanted to analys the assessment and evaluation structure of the tests in this book. This research uses a qualitative literature study research method. This research method is carried out using descriptive analysis, which is a form of research that provides an organized description of the entire Arabic test to be studied. The results obtained from this research are: First, the form of tests is mostly in the form of memory questions (objective tests) and the form of fill-in questions (subjective tests), and second, the advantages of the book Durūs Al-Lughah Al-Arabiyyah volume 1 are that it is very good for beginners who want to learn the language. Complete with Arabic language material; vocabulary, text, images, to various tests, then the disadvantage is that it uses several objective tests that are commonly used.
Keywords: Assessment, Arabic, Literature, Durūs Al-Lughah Al-Arabiyyah, Test
Differential trial-type effects in an Implicit Relational Assessment Procedure: Extending the DAARRE model
Authors: de Almeida Rodrigo , Barnes-Holmes Dermot , Leslie Julian C.
Published: June 2024

The differential arbitrarily applicable relational responding effects (DAARRE) model explains two effects commonly observed with the Implicit Relational Assessment Procedure (IRAP): the single trial-type dominance effect (STTDE) and the dissonant-target trial-type effect (DTTTE). We sought to explore variables that modulate these effects. Forty-two participants who completed an IRAP met the practice criteria (median latency ≤ 2000ms and accuracy ≥ 80% correct) and thus proceeded to six test blocks of trials. The IRAP had four trial-types: trial-type 1: happy-face—happy-word; trial-type 2: happy-face—fear-word; trial-type 3: fear-face—happy-word; trial-type 4: fear-face—fear-word. Participants were randomly assigned to start with a consistent (respond True, False, False, True, respectively, to the four trial-types) or inconsistent (opposite responding) block. Difference (DIRAP) scores were calculated (inconsistent minus consistent latencies). A significantly larger DIRAP score was observed in trial-type 2 relative to trial-type 3 (a DTTTE), but only for participants who started with the inconsistent block. A “happiness superiority” STTDE (i.e., larger DIRAP score on trial-type 1 relative to trial-type 4) was observed, but only for participants who failed to maintain the criteria at the trial-type level (in any of the trial-types). Overall, the findings highlight the importance of distinguishing between the functional versus relational properties of the stimuli presented within an IRAP. The modulation of the DTTTE is interpreted in terms of functional coherence between the target and response option in inconsistent blocks. A novel data-analytic algorithm is presented to identify performance criteria violations at the trial-type level. The findings suggest that a greater focus is required in Relational Frame Theory on the impact of the functional properties of stimuli on relational framing.
Structure in prime gaps
Authors: KAUNDA KAJANI
Published: June 2024

We define a Cayley Table T from the structure (J,+) based on a subset J of Z containing prime numbers and their additive inverses, which we then use as a model of gaps between primes of the form pα − 3. Using definitions of the relationships between primes and their gaps derived from T, we prove the existence of infinitely many pairs of primes, (pn, pn+m), such that (pn+m − pn) = (pα − 3) where n, α ≥ 3 and m ≥ 1 and pn is the nth prime. Finally, we use this result to show the existence of infinitely many pairs of prime numbers with a gap of 2.

MSC Classification: 11N05, 11B05
Case report: A rare case of congenital right coronary artery aneurysm with right coronary artery-to-left ventricle fistula
Authors: Wang Xinyu , Chen Xu , Sun Yuanyuan
Published: June 2024

Patient, male, 33 years old, with a history of dyspnea on exertion for more than 10 years and chest pain for one month. Physical examination: Blood pressure 151/57 mmHg, heart rate 87 beats per minute, irregular rhythm, a Grade III/VI systolic murmur heard in the precordium. Electrocardiogram showed fragmented QRS complexes in the inferior leads and clockwise rotation.
Upon admission, the initial transthoracic echocardiogram (TTE) and transesophageal echocardiogram (TEE) revealed left ventricular enlargement, diffuse aneurysmal dilatation of the right coronary artery (RCA) with a maximum diameter of approximately 38 mm. A fistula with a diameter of about 10 mm was observed in the basal segment of the left ventricular inferior wall, connecting to the aneurysmal RCA. Color Doppler flow imaging (CDFI) demonstrated a significant diastolic multicolored flow jet originating from the fistula, with a velocity of 2.1 m/s and a pressure gradient of 18 mmHg. The ejection fraction (EF) was measured at 65%(Fig.1). The ultrasound diagnosis suggested right coronary artery aneurysm with right coronary artery-to-left ventricle fistula (RCALVF).
UniC: a Dataset for Emotion Analysis of Videos with Multimodal and Unimodal Labels
Authors: Du Quanqi , Labat Sofie , Demeester Thomas , Hoste Veronique
Published: June 2024

As one of the important features that differentiates humans from machines, emotion is complicated not only in its wide varieties but also in its expression channels, including both verbal and non-verbal language. Different modalities contribute in unique ways to the integrated expression of emotion. However, in most of the existing multimodal datasets, there is only one unified emotion label for the various modalities, ignoring the heterogeneity and complementarity of the different modalities. For instance, the text ''I love the test" may be labelled as love or joy, but if it is expressed with a low dejected tone and a mournful expression, the overall emotion might be more of sadness or even disgust. To bridge this gap, we present in this paper UniC, a novel multimodal emotion dataset featuring both integrated multimodal labels and independent unimodal labels. UniC is comprised of 965 emotion-rich video clips selected from YouTube, annotated in text, audio, (silent) video and multimodal setups with both categorical and dimensional labels. We present the dataset construction steps and an analysis of different modality perspectives based on UniC. It is found that although in most cases the modality of text shares more emotional resemblance with the multimodal setup, other modalities may have different and even opposite emotions which might contribute more to the overall emotion states. This dataset contributes a modality-specific perspective to multimodal emotion analysis, and has the potential to offer more insights for further research in human-machine interaction and emotion modelling for robots.
Circularity of non-isocyanate polyurethanes: Small-molecule recovery from
linear and network polyhydroxyurethanes via transcarbamoylation
Authors: Chen Yixuan , LaPorte Marcus , Torkelson John M.
Published: June 2024

We report the first demonstration of small-molecule recovery from polyhydroxyurethane (PHU) harnessing transcarbamoylation dynamic chemistry. We prepared linear and network PHUs by reacting a difunctional amine with a difunctional or trifunctional 5-member cyclic carbonate, respectively, with the cyclic carbonates synthesized from CO2 fixation of the corresponding epoxies. Under a mild condition using a base catalyst and methanol (MeOH), we depolymerized linear and network PHUs, recovering carbamate small molecules by leveraging the exchange reaction between urethane groups on the PHU backbone and MeOH, which is transcarbamoylation. We conducted a screening of depolymerization conditions, with a stronger base catalyst tert-butoxide, a higher temperature of 80 °C, and the use of a binary solvent system tetrahydrofuran/MeOH leading to the highest carbamate yield of 45 mol% from linear PHU. We also explored two greener solvents, water and ethanol (EtOH), as replacements for MeOH, with water leading to virtually no depolymerization and EtOH resulting in less than 5 mol% carbamate yield from linear PHU. For network PHU, the optimal condition led to a 15 mol% carbamate yield. These relatively low small-molecule yields are attributed to the abundant hydroxyl groups on the PHU backbone competing with urethane groups for binding the base catalysts, thereby reducing catalyst efficiency. Although further improvement on our small-molecule recovery method is desired, this first study highlights the potential of transcarbamoylation, an inherent dynamic chemistry of PHU, to contribute significantly to end-of-life recycling of all PHU materials.