The integration of Artificial_Intelligence (AI) into marketing has transformed customer dealings, data investigation & decision-making. AI-oriented tools like chatbots, sanction systems, extrapolative analytics improve personalization (Perz.) efficiency. Though, consumers perception diverges across generational allies. Gen_Z, being digital communities, are happier with AI-driven technologies, while Millennials show diverse responses influenced by both old-style experiences. understanding such differences is quite vital for effective tactics. changed modern systems through the way automation, predictive-based personalized engagement. This research analysis generational_differences (G_Diff.) in between Gen_Z their observation AI_marketing (AI_M). opted toal 167 respondents which were surveyed using a closed ended structured questionnaire alongwith including descriptive statistical analysis, t_test, ANOVA correlation test, regression SEM used SPSS AMOS. outcomes study indicates that (AI_M) trust significantly boost purchase_decisions (P_Dec.), whereas privacy_concerns (P_Con.) negatively impact consumer_engagement (C_Eng.). authorizes there significant generational_ (G_Diff.), showing higher acceptance tools. findings provide strategic-based inferences marketers or vendors to design morally accountable generational-specific AI-based strategies

At the recent international negotiations on climate change in Dubai 2023, potential for artificial intelligence (AI) to play a critical role addressing challenges was recognized through initiative “AI Climate Action (#AI4ClimateAction).” Launched by Technology Mechanism—established under United Nations Framework Convention Change (UNFCCC)—this is focused accelerating implementation of Paris Agreement with focus ensuring that use responsible, and benefits are shared equitably. While exploring promising applications like integrating AI improve early warning systems enhancing agricultural yields, there also need minimize carbon footprint applications. More information can be found at:https://unfccc.int/ttclear/artificial_intelligence

We created this dataset by cleaning and filtering secondary data (i.e. Patents) from the OECD REGPAT database (version: 202202) according to CPC codes PATENTSCOPE Artificial Intelligence Index. In addition, we included other into dataset, for instance, GDP per capita, R&D employment population database. Link: https://www.oecd.org/sti/intellectual-property-statistics-and-analysis.htm. Accessed 1 April 2022 https://www.wipo.int/tech_trends/en/artificial_intelligence/patentscope.html. https://www.oecd.org/regional/regional-statistics/. 15 https://data.worldbank.org/indicator/SP.POP.SCIE.RD.P6?end=2015&start=2001.

ABSTRACTThis study aims to improve teachers’ competence in developing mobile learning media using TikTok supported by Artificial Intelligence (AI) create contextual visual materials. The training was conducted at SMP Negeri 6 Muaro Jambi with 20 participating teachers. A participatory workshop model applied through orientation, demonstration, guided practice, and independent production stages. Data were collected performance assessments, observation, response questionnaires. results show a significant increase skills: the mean score for design improved from 62.5 83.0, TikTok-based instructional use 58.0 86.5, AI-based creation 55.0 88.0. Teacher motivation readiness apply class also increased, reflected positive of 3.6 on 4-point scale. Classroom trials showed an student engagement 56% 84% participation 48% 73%. These findings indicate that AI-assisted is effective enhancing teacher creativity, classroom interaction, engagement.Keywords: mobile_learning; tiktok; local_culture; artificial_intelligence; teacher_training ABSTRAKPenelitian ini bertujuan untuk meningkatkan kompetensi guru dalam mengembangkan dengan memanfaatkan yang didukung oleh Kecerdasan Buatan menghasilkan materi pembelajaran kontekstual. Pelatihan dilaksanakan di melibatkan orang sebagai peserta. Model pelatihan digunakan adalah partisipatif terdiri dari tahap orientasi, demonstrasi, latihan terbimbing, dan produksi mandiri. dikumpulkan melalui penilaian kinerja, observasi, angket respons. Hasil penelitian menunjukkan adanya peningkatan kemampuan signifikan: nilai rata-rata desain meningkat 62,5 menjadi 83,0, pemanfaatan 58,0 86,5, pembuatan berbasis AI 55,0 88,0. Motivasi kesiapan menerapkan kelas juga meningkat, tercermin skor respons positif sebesar 3,6 skala 4. Uji coba keterlibatan siswa partisipasi Temuan bahwa berbantuan efektif kreativitas guru, interaksi pembelajaran, belajar siswa.Kata Kunci: budaya_lokal; kecerdasan_buatan; pelatihan_guru

Abstract: The transformation of vocational education in the digital era requires a new leadership paradigm capable integrating Artificial Intelligence (AI) with sustainability principles. This study highlights importance green managing TVET institutions to align 2030 Sustainable Development Goals, particularly those related quality education, decent work and economic growth, as well innovation infrastructure. main objective this research is formulate conceptual model AI-driven strategic pathway for sustainable institutions. employs mixed-methods approach sequential explanatory design. quantitative phase involved 148 respondents from 12 Indonesia using Likert-scale questionnaire measure perceptions leadership, readiness, AI adoption. Data were analyzed SEM-PLS further explored through in-depth interviews 15 institutional leaders part qualitative phase. results indicate that utilization significantly enhances decision-making efficiency, organizational transparency, within environment. Leadership combines intelligence ecological awareness fosters an adaptive culture. implies necessity policies promote AI-based literacy, development curricula, support environmentally friendly data infrastructure, cross-sector partnerships ensure technological aligns human environmental sustainability.Keyword: green_leadership; artificial_intelligence; SDGs. Abstrak: Transformasi pendidikan vokasi di membutuhkan kepemimpinan baru yang mampu mengintegrasikan kecerdasan buatan dengan prinsip keberlanjutan. Penelitian ini menyoroti pentingnya hijau dalam pengelolaan agar selaras SDGs 2030, terutama tujuan terkait bermutu, pekerjaan layak, dan inovasi. Tujuan utama penelitian adalah merumuskan konseptual sebagai strategi transformasi berkelanjutan institusi vokasi. Metode digunakan mixed methods desain sekuensial eksplanatori. Tahap kuantitatif melibatkan responden dari melalui kuesioner skala Likert mengukur persepsi hijau, kesiapan digital, adopsi AI. Analisis menggunakan SEM-PLS, kemudian diperdalam wawancara pemimpin pada tahap kualitatif. Hasil menunjukkan bahwa pemanfaatan meningkatkan efisiensi pengambilan keputusan, transparansi organisasi, serta inovasi lingkungan TVET. Kepemimpinan menggabungkan kesadaran ekologis menciptakan budaya organisasi adaptif berkelanjutan. Implikasi menegaskan kebijakan mendorong literasi berbasis AI, pengembangan kurikulum berkelanjutan, dukungan infrastruktur ramah lingkungan, kemitraan lintas sektor untuk memastikan teknologi sejalan pembangunan manusia lingkungan.Kata kunci: kepemimpinan_hijau; kecerdasan_buatan;

This study aims to trace the development of China’s artificial intelligence (AI) policies using text analysis, focusing on analyzing similarities and differences in AI being implemented by central local governments. To achieve this, we utilized data from “China Legal Retrieval System (北大法宝)” conduct mining topic modeling analysis policy documents both The revealed that government’s primarily focus technology-based disaster response, product production, talent development. In contrast, governments’ discourse objectives showed a trend decreasing diversity eastern western regions. east region targets core technologies across board, focuses healthcare heavy industry, west at economic social stability.

The prevalence of graph-based approaches in bibliometric analysis is limited to considering only pairwise relationships—such as co-authorship, citation lists, or keywords—which artificially simplifies the structure these relationships. Hypergraphs allow for direct modeling numerous relationships, thereby improving accuracy analysis. This study demonstrates application KaHyPar framework partition sets IEEE Xplore terms into blocks, treating them hyperedges. first a series articles detailing hypergraph-based term blocking techniques. utilized data from 2021 2025, exported database using “Artificial Intelligence,” “Blockchain,” “Data Science,” “Deep Learning,” “Image Processing,” “Internet Things,” “Anomaly Detection,” and “Machine Learning.” After removing duplicates excluding 16 records with empty “IEEE Terms” fields, 38,157 were used study. While partitioning Terms effective, process requires rigorous preparation .hgr format. complexity explains why hypergraphs remain underutilized scientometrics compared more accessible tools like VOSviewer. proposed significance criterion—based on term's occurrence frequency within hyperedges associated block—yielded easily interpretable results. Future studies should investigate impact parameters evaluate alternative frameworks such HYPE Mt-KaHyPar, alongside other metrics significance.

In the post-pandemic era, uncertain global market and rising social-environmental issues drive organizations to adapt their supply chain strategies more dynamic, flexible models, leveraging advanced technologies like AI, big data analytics, decision support systems. This review paper aims examine current research on AI-integrated in sustainable management (SSCM) inform future directions. We adopted bibliometric text analysis, targeting 170 articles published between 2004 2023 from Scopus database following PRISMA (Preferred Reporting Items for Systematic Reviews Meta-Analyses) protocol. confirm that have demonstrated capability enable SSCM across various sectors. generated ten topics using Latent Dirichlet Allocation (LDA) method proposed 20 propositions. The results show processes primarily address sustainability, focusing environmental economic issues. However, there is still a technological gap tackling social working conditions fair dealing. Thus, we dynamic framework of AI help researchers practitioners synthesize optimize models

Concrete mix design is the process of selecting proper components and figuring out ratios to achieve desired workability, strength, durability. As a result, an attempt has been made create Java program for concrete by IS 10262:2019 456:2000. Computer software created in this way proportion input variables set output variables, which avoids time-consuming computations real time. The produced was carefully checked. results were compared make sure they accurate after being put through series manually check issues. exact, time-saving, computationally efficient.

Diabetes merupakan kondisi metabolik yang ditandai oleh tingginya kadar glukosa darah dan telah menjadi masalah kesehatan global. Apabila tidak ditangani dengan tepat, diabetes dapat menyebabkan komplikasi serius seperti penyakit kardiovaskular, stroke, kerusakan ginjal, mata, sistem saraf. Perkembangan teknologi machine learning memberikan peluang dalam membantu proses klasifikasi prediksi secara lebih cepat akurat. Penelitian ini bertujuan untuk menganalisis tingkat akurasi dua metode klasifikasi, yaitu K-Nearest Neighbor (KNN) Naïve Bayes pada data diabetes. Dataset digunakan adalah Pima Indians Database pembagian sebesar 80% latih 20% uji. Tahapan penelitian meliputi preprocessing data, pelatihan model, pengujian klasifikasi. Variabel glukosa, usia, indeks massa tubuh (BMI), tekanan darah, serta riwayat Hasil menunjukkan bahwa kedua algoritma mampu melakukan baik. Namun, memperoleh tinggi 81%, sedangkan 77%. Berdasarkan hasil tersebut, dinilai efektif dibandingkan Bayes. diharapkan referensi pengembangan pendukung keputusan berbasis di bidang kesehatan, khususnya deteksi dini

Foreign Language Learning (FLL) students commonly have few opportunities to use their target language.Teachers in FLL situations do best create during classes through pair or group work, but a variety of factors ranging from lack time shyness limited opportunity for quality feedback hamper this.This paper discusses online chatbots' potential role fulfilling this need.Chatbots could provide means language practice anytime and virtually anywhere.211 used two well-known bots class was recorded with brief written survey.Most enjoyed using the chatbots.They also generally felt more comfortable conversing than student partner teacher.This is budding technology that has up now been designed primarily native speakers English.In present state chatbots are only useful advanced and/or very keen students.However, exist teachers get involved bring into classroom as permanent tool practice. CHATBOTS TODAYLearning not easy.Even under conditions face cultural differences, pronunciation problems, ebbing motivation, effective feedback, need learn specialized language, many other obstacles studies.Students foreign learning all these general challenges while having little no study beyond classroom.Students at post-secondary level practice, such lab where classically listen recording then repeat write workbook.More recently, might interact some software laboratory periods.During class, may smallest chance one-on-one teacher.The obtain often interactive potentially plagued by confidence, shyness, unchecked mistakes grammar (students pairs practice).Technology opening new possibilities learning, internet enormous potential.As Benson (2001) describes it, "…the so strongly supportive basic situational self-directed learning: learners can whenever they want unlimited range authentic materials" (p.139).

Recently, more and attention has been paid to the legal regulation of artificial intelligence. Yes, in many countries today, innovations modern technologies are used: technical filling for a smart home, unmanned cars, lawyers-bots, etc. - this testifies growing role intelligence society. In one his interviews, I. Musk, referring intelligence, noted that development IT necessitates need full study as an object law, its features, types opportunities. The purpose article is investigate regulation, define concept, features types. This paper examines positions arguments scientists regarding possibility relation determine features. Artificial (artificial intelligence) understood ability automatic systems assume human functions choose make optimal decisions based on previous life experience analysis external influences At doctrine level, there two classifications AI, difference being some distinguish "superintelligence" form while others do not. our opinion, classification AI into justified: "weak" can perform only cognitive tasks, using pre-written algorithm actions, without deviation from it, strong capable independent learning thinking, through continuous self-programming updated base received material. main favor fact by nature gravitating objects relations or instruments their realization are, first, result activity person respect which persons have certain rights obligations; and, secondly, view provisions European Parliament Resolution 2015/2103, subject prosecution damages caused proposed install non-electronic person. These basis stating weak function weighs it contains both law.

This paper is about a new trend in Stylistics called "Robotic Stylistics" whose subject matter the linguistic outcome of robots.It investigates possibility making robotic stylistics, since robots are able to choose what they want say due their algorithms that enable them make choice.

The purpose of this article is to conduct a detailed analysis the integration Artificial Intelligence (AI) marketing get brand recognition for social business. It has been seen that AI immensely popular with businesses these days. This mainly focuses on use elements increase businesses, which are not very well-known consumers in Bangladesh. study makes quantitative research approach includes survey questionnaire used explain kind impact may have businesses. authors approached 500 respondents and got close an 81% response rate, 403 responses. With support SPSS, collected answers from sample were analyzed. results show strategies will play significant role leading awareness allow professionals integrate achieve improved recognition. also encourage establishing more ultimately benefiting society.Keywords: Marketing, Brand Awareness, Recognition, Social Business, Businesses Bangladesh.JEL Classifications: M31, L31DOI: https://doi.org/10.32479/irmm.11542

Issues, arising in the field of intellectual property rights connection with development artificial intelligence systems and their impact on legal relations economy culture modern society, have been considered. Aspects mutual policies for innovation creativity examined. Questions copyright ownership interaction man, collective or raised proposed. Issues related to as an object The position author personality objects created by autonomous has presented, which is expressed answers questions project World Intellectual Property Organization wide discussion interested parties, planned 2020 at headquarters Geneva. main conceptual principle issues grant right a dressed subject – person collective, developer fixation latter sub-subject instrument subject. Traditional categories also considered, such patentability inventive level possible generation these intelligence. data, its generation, fabrications regarding data Harmonization international alleviate technological gap between countries context

Mazkur maqolada sun’iy intellekt tushunchasi, kelib chiqish tarixi va rivojlanishi, shuningdek intellektning hayotimizda tutgan o‘rni ahamiyati yoritib berilgan. Bundan tashqari, intellektual mulk o‘zaro bog‘liqligi tahlil qilinib, natijalariga asoslangan holda tegishli xulosalar Ushbu sohani rivojlantirish bilan bog’liq O‘zbekistonda amalga oshirilayotgan islohotlar yoritilgan hamda ularni takomillashtirishga qaratilgan tavsiyalar berilgan

Objective: Early identification of individuals who are at risk for suicide is crucial in supporting prevention. Machine learning emerging as a promising approach to support this objective. broadly defined set mathematical models and computational algorithms designed automatically learn complex patterns between predictors outcomes from example data, without being explicitly programmed do so. The model's performance continuously improves over time by newly available data. Method: This concept paper explores how machine approaches applied healthcare data obtained electronic health records, including billing claims can advance our ability accurately predict future suicidal behavior. Results: We provide general overview concepts, summarize exemplar studies, describe continued challenges, propose innovative research directions. Conclusion: has potential improving estimation risk, yet important challenges opportunities remain. Further focus on incorporating evolving methods addressing imbalances, understanding factors that affect generalizability across samples systems, expanding the richness leveraging newer approaches, developing automatic systems.

Mazkur maqolada sun’iy intellekt tushunchasi, kelib chiqish tarixi va rivojlanishi, shuningdek intellektning hayotimizda tutgan o‘rni ahamiyati yoritib berilgan. Bundan tashqari, intellektual mulk o‘zaro bog‘liqligi tahlil qilinib, natijalariga asoslangan holda tegishli xulosalar Ushbu sohani rivojlantirish bilan bog’liq O‘zbekistonda amalga oshirilayotgan islohotlar yoritilgan hamda ularni takomillashtirishga qaratilgan tavsiyalar berilgan

The role of Intellectual property rights inventions based on Artificial Intelligence is discussed.The agency WIPO has begun to engage the stakeholders through its "WIPO Conversation IP and AI".The US, South Korea, Japan China are leading in protecting their AI inventions.The guidelines respective patent offices will also matter.The pace these not really helped fact that laws lagging behind.Meanwhile companies such as Google have come up with own recommendations protect IP.In broader scheme things, governing must be able reward inventor for benefit society.It should provide equitable distribution benefits invention across all sections society.

The article discusses the organization of audit in Republic Uzbekistan digital economy. It is also based on fact that context digitalization economy, significant changes will occur theoretical aspects audit, its practice, methods and process.

I. IntroductionIn general, patent law is aimed at protecting and using inventions, since its framework continuously closely related to innovation, it has always been flexible meet the needs of times. At same time, may present us with novel issues concerning legal protection. For instance, advances in information communication technology have brought about major changes various technical fields. In particular, rapid artificial intelligence (“AI”) techno...

The advent of deepfake technology has raised significant concerns regarding its impact on individuals' cognitive processes and beliefs, considering the pervasive relationships between human cognition. This study delves into psychological literature surrounding deepfakes, focusing people's public representation this emerging highlighting prevailing themes, opinions, emotions. Under media framing, theoretical framework is crucial in shaping schemas technology. A qualitative method been applied to unveil patterns, correlations, recurring themes beliefs about main topic, deepfake, discussed forum Quora. final extracted text corpus consisted 166 answers 17 questions. Analysis results highlighted 20 most prevalent critical lemmas, was one. Moreover, co-occurrence analysis identified words frequently appearing with lemma including video, create, artificial intelligence-finally, thematic eight within corpus. Cognitive rely thinking skills detecting anomalies fake videos or discerning negative positive impacts deepfakes from an ethical point view. people adapt their mental concerning Future studies should explore role literacy helping individuals identify content since may not be familiar concept fully understand implications. Increased awareness understanding can empower evaluate critically related Artificial Intelligence.

This report discusses the implementation of a knowledge base for library information system. It is done using typed logic programming language—LOGIN—where type inheritance built in. The structured in hierarchical taxonomy object classes where each class represented FRAME style structure and inherits properties its parents, infrastructural inference rules have been established through Horn clauses. Also this document, some techniques aimed at power as taxonomic are discussed.