bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Brand Image, Kualitas Produk, dan Persepsi Harga terhadap Keputusan Pembelian Produk The Body Shop di Kota Surabaya
Authors: Simatupang Sarah Regina , Pudjoprastyono Hery , Mandasari Virginia
Published: November 2024

The Body Shop is a beauty brand known for its commitment to environmental responsibility. However, between 2019 and 2023, The Body Shop experienced a decline due to various factors. This research aims to examine whether Brand Image, Product Quality, and Price Perception influence consumers' purchasing decisions for The Body Shop products in Surabaya. The population in this study consists of residents of Surabaya who have purchased and used The Body Shop products. This research employs a quantitative method with 115 respondents selected through purposive sampling, a sampling technique based on specific criteria. The analysis applied in this study is Partial Least Square (PLS). The research results indicate that Brand Image, Product Quality, and Price Perception have a positive and significant impact on purchasing decisions for The Body Shop products in Surabaya..
Dampak Self-Management terhadap Mindset Entrepreneurial: Studi Kasus pada UMKM di Kota Pangkalpinang
Authors: Ramadona Dista , Raferdy Lionnardo Savira , Ammalia Adinda Risky , Aryansyah Ary Fakturrachman
Published: November 2024

This study aims to analyze the impact of self-management on entrepreneurial mindset among Micro, Small, and Medium Enterprise (MSME) owners in Pangkalpinang City. This research uses a quantitative approach with a data collection method through a questionnaire involving 100 respondents of MSME owners in Pangkalpinang City. The data obtained were analyzed using Statistical Package for the Social Sciences (SPSS) software to test the validity, reliability, and relationship between self-management variables and entrepreneurial mindset. The results of the analysis show that there is a significant positive impact between self-management and entrepreneurial mindset, with a coefficient of determination of 0,947. This indicates that improving self-management skills significantly contributes to the development of a proactive, innovative, and adaptive mindset among MSME owners. This research is expected to provide deeper insights and policy recommendations for the development of training and support programs that focus on improving self-management skills and strengthening entrepreneurial mindset, in order to improve the performance and competitiveness of MSMEs in Pangkalpinang City.
Pengaruh Job Stress terhadap Job Satisfaction dan Organizational Commitment di Mediasi oleh Psychological Wellbeing Karyawan Perusahaan Facility Services di Tangerang Selatan
Authors: Ziliwu Hendik Arianto , Tanuwijaya Justine , Gunawan Andreas Wahyu
Published: November 2024

This research aims to investigate the influence of job stress on job satisfaction and organizational commitment, mediated by employees' psychological well-being. The study employs a quantitative method with a sample of 150 respondents from a Facility Services company. Data analysis is conducted using SPSS 25 for Windows. The findings reveal a significant negative influence of job stress on job satisfaction, a significant negative influence of job stress on psychological well-being, a significant negative influence of job stress on organizational commitment. There is a significant positive influence of psychological well-being on job satisfaction, a significant positive influence of psychological well-being on organizational commitment, and a significant positive influence of job satisfaction on organizational commitment. Psychological well-being fully and significantly mediates the relationship between job stress and both job satisfaction and organizational commitment.
The political connection, stakeholders pressure, sustainability reports disclosure, and business risk as moderating variable
Authors: Mukhtaruddin  , Susanto Hendra , Kalsum Umi
Published: November 2024

The objectives of this research investigated the effect of political connection, stakeholder pressure (environmental pressure, customer’s pressure, employee’s pressure, and foreign pressure) on the sustainability report disclosure and business as a moderating variable. Manufacturing sector companies listed on the Indonesian Stock Exchange for the 2019–2023 periods have a target population. Samples were selected by some criteria, and the 15 manufacturing companies were determined as a sample. The annual report and sustainability report are the sources of the data. To test hypotheses, we are using multiple regression and moderate multiple regression analysis. The employee pressure and environmental pressures do not significantly affect the sustainability report disclosure, while political connections, consumer pressure, and foreign pressure have a significant effect on the sustainability report disclosure. Business risk can moderate the relationship between consumer pressure and sustainability report disclosure, while it cannot moderate the relationship between political connection, environmental pressure, employee’s pressure, and foreign pressure and sustainability reports. The findings of this research have some implications for companies and governments. The company should pay attention to political connections and customer pressure because it can effect a decision related to disclosure of the sustainability reports, and (b) government determines the sustainability report standard.
The Development and Evidence of Psychometric Properties of the Self-Care Activities Scale Focusing on the Daily Life Advanced Activities
Authors:   1 Universidade Federal De Sao Carlos, Departamento De Gerontologia, Rod. Washington Luiz, Sao Carlos - SP, Brasil, Da Silva Jose Vitor , Souza Orlandi Fabiana De ,   Universidade Federal De Sao Carlos, Departamento De Gerontologia, Rod. Washington Luiz, Sao Carlos - SP, Brasil, Maeda Marcos Toyotoshi ,   Prefeitura Municipal De Sao Paulo, Rua Sao Bento, Sao Paulo - SP, Brasil
Published: November 2024

Objective To develop the Self-Care Activities Scale focusing on the Daily Life Advanced Activities (SCCAS-DLAAs) and to analyze its psychometric properties. Method This was a methodological, descriptive, and analytical study. The sample consisted of 1200 interviewees of both sexes, aged 70 years or older, residents in cities in southern Minas Gerais state, Brazil. The instruments used were as follows: an instrument to classify the baseline conditioning factors of elderly people, the SCCAS-DLAAs, and the Self-Care Skills Assessment Scale. Results The SCCAS-DLAAs consisted of 20 items and four domains, namely: Social (α Cronbach = 0.768), Leisure (α Cronbach = 0.643), Intellectual (α Cronbach = 0.708), and Religious (α Cronbach = 0.704). Convergent validity was satisfactory as it showed a positive and significant correlation (p≤0.001). For discriminant validation, the comparative analyses of the sociodemographic variables with the SCCAS-DLAAs were used, presenting a significance level between them, which demonstrated discriminative power. Conclusion The developed scale showed adequate reliability and validity for the Brazilian context
The Effect of a HealiAid ® Collagen Wound Dressing on Wound Healing in Patients: A Randomized Double-Blind Pilot Clinical Trial
Authors:   Institute of Food Safety and Risk Management, National Taiwan Ocean University, Department of Food Science, Taiwan, Lin Yung-Kai , Lin Yung-Hsiang ,   Graduate Institute of Biomedical Engineering, National Chung Hsing University, Taichung, Taiwan, Kao Huang-Kai ,   Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan, Chen Ching-Ting ,   Maxigen Biotech Inc., Taoyuan, Taiwan, Chiang Chi-Fu ,   Research and Design Center, TCI CO., Ltd., Taipei, Taiwan
Published: November 2024

Wound healing is a complex, multi-phase process. With rising healthcare costs, an aging population, and increasing chronic disease prevalence, the burden of wound care is escalating. Thus, finding safe and effective methods to accelerate wound healing is crucial. This study aims to explore the safety and efficacy of HealiAid® Collagen Wound Dressing in treating various types of wounds, including venous ulcers, diabetic foot ulcers, pressure ulcers, and burns. A clinical trial was conducted on 18 subjects with venous ulcers, diabetic foot wounds, pressure ulcers, and burn wounds. The study assessed the effectiveness of HealiAid in different wound types by analyzing its thermal stability, porous structure, biocompatibility, and clinical efficacy. Wound healing was strictly monitored, and the safety and tolerability of the dressing were evaluated. The results showed that HealiAid Collagen Wound Dressing has excellent thermal stability and structural integrity. Its porous microstructure enhances cell adhesion and tissue regeneration, demonstrating significant healing effects across various wound types, including venous ulcers, diabetic foot wounds, pressure ulcers, and burns. No serious adverse reactions were reported, and endotoxin levels were well below safety standards. This study confirms the safety and efficacy of HealiAid Collagen Wound Dressing in treating multiple wound types. Its outstanding thermal stability, porous structure, and biocompatibility make it a promising option for clinical wound care
Low-Latency and Ultra-Reliable Communication for Industrial 5G
Authors:   frican Center of Excellence (ACEIoT.), Kigali, Rwanda, Kavamahanga Lambert , Uwimbabazi Theodette ,   African Center of Excellence (ACEIoT.), Kigali, Rwanda, Uwizeyemungu Damascene ,   African Center of Excellence (ACEIoT.), Kigali, Rwanda
Published: November 2024

The Internet of Things(IoT) is a planned Internet extension in which everyday objects are outfitted with circuitry, software, sensors, and internet connectivity is required so that data can be received and sent over the Internet. Emerging applications like factory automation and au- tonomous driving necessitate affordable, dependable, and low- latency communication making wireless architecture It’s more convoluted than before. The study’s goal is to understand existing study issues and solutions in connection with 5G-enabled Industrial IoT based on both sectors’ original goals and commitments. The fifty generation mobile technologies naturally provide these (These are naturally provided by 5G mobile technologies.), making it a strong choice for enabling scenarios for Industrial IoT(IIoT). This article discusses Low Latency and Ultra-Reliable, one of the pillar elements of 5G wireless systems introduced by 3GPP in release 15 and beyond. It focuses on how to allow Low-Latency and Ultra-Reliable by combining metadata and data encoding approaches. Aside from evaluating, current issues and solutions, the study intends to get to a decision about the current research gaps by providing comparisons that are applicable to any of these subjects (in- relation to fifty-generation enabled-IIoT). Finally, it analyzes URLLC difficulties by assessing packet transmission reliability based on the packet time frame and the reliability impairment impacting communication dependability
State-of-the-Art and Future Directions
Authors:   Konya Technical University, Konya, Turkey, Khan Mohammad Salman
Published: November 2024

In our daily lives, smart AI-powered devices including computers are becoming more common. But the problem is that sometimes these AI systems make decisions that seem like magic, making it hard for us to know how they work and also, we are not able to predict the future (like after making a decision, we are not able to predict whether the result will be positive or negative). This research paper is all about fixing this issue and making the AI strong enough to make a decision and learn each positive and negative thing from the surroundings. We dive into the world of Explainable Artificial Intelligence (XAI), finding new and simple ways to make complex AI systems easy for people to understand. In this Research paper, we are also going to make the AI that much more powerful so that it can learn itself and gather information from its surroundings. This would be a fantastic step for AI to learn Patterns, Structures, and Unlabeled data allowing it to identify hidden relationships and features without explicit guidance. This would be Self-Supervised Learning in which the AI would be able to create its labels or predictions based on input data, generating a form of supervision. This system would be able to do facial detection and compare the Raw info with the DataSet. The system would also be able to make the most suitable and accurate decisions. With time this machine would be able to upgrade its memory (taking a human baby as an example/consideration). In a nutshell, our research aims to make AI systems not just powerful, but also easy to understand and trustworthy for everyone and make them Self-Supervised
Spermine Synthase : A Potential Prognostic Marker for Lower-Grade Gliomas
Authors: Liu Chen , Li Hongqi , Hu Xiaolong , Yan Maohui , Fu Zhiguang , Zhang Hengheng , Wang Yingjie , Du Nan
Published: November 2024

Objective : The objective of this study was to assess the relationship between spermine synthase (SMS) expression, tumor occurrence, and prognosis in lower-grade gliomas (LGGs).Methods : A total of 523 LGG patients and 1152 normal brain tissues were included as controls. Mann-Whitney U test was performed to evaluate SMS expression in the LGG group. Functional annotation analysis was conducted to explore the biological processes associated with high SMS expression. Immune cell infiltration analysis was performed to examine the correlation between SMS expression and immune cell types. The association between SMS expression and clinical and pathological features was assessed using Spearman correlation analysis. In vitro experiments were conducted to investigate the effects of overexpressing or downregulating SMS on cell proliferation, apoptosis, migration, invasion, and key proteins in the protein kinase B (AKT)/epithelialmesenchymal transition signaling pathway.Results : The study revealed a significant upregulation of SMS expression in LGGs compared to normal brain tissues. High SMS expression was associated with certain clinical and pathological features, including older age, astrocytoma, higher World Health Organization grade, poor disease-specific survival, disease progression, non-1p/19q codeletion, and wild-type isocitrate dehydrogenase. Cox regression analysis identified SMS as a risk factor for overall survival. Bioinformatics analysis showed enrichment of eosinophils, T cells, and macrophages in LGG samples, while proportions of dendritic (DC) cells, plasmacytoid DC (pDC) cells, and CD8+ T cells were decreased.Conclusion : High SMS expression in LGGs may promote tumor occurrence through cellular proliferation and modulation of immune cell infiltration. These findings suggest the prognostic value of SMS in predicting clinical outcomes for LGG patients.
Applicability of ChatGPT in Online Collaborative Learning: Evidence Based on Learning Outcomes
Authors: Liu Haixin
Published: November 2024

The study delves into the impact of ChatGPT, a generative AI technology, on online collaborative learning (OCL) outcomes in educational settings. With a focus on knowledge activation and critical thinking, this research involved thirty university students from various disciplines, divided into experimental (ChatGPT) and control (traditional online search) groups. The research process involved controlled experiment and semi-structured interviews. Results revealed a significant disparity in knowledge activation levels between the experimental and control groups, showcasing the efficacy of ChatGPT in enhancing students' engagement with challenging concepts. Furthermore, the study underscored ChatGPT's role in fostering critical thinking skills, thereby enriching the learning experience and promoting deeper understanding among participants. The findings shed light on the potential of AI technologies, like ChatGPT, to serve as virtual tutors, guiding learners through problem-solving tasks and facilitating metacognitive skills development. By facilitating collaborative interactions and peer-to-peer learning, ChatGPT emerged as a valuable mediator in online discussions and group activities, encouraging active participation and knowledge sharing within learning communities. The research contributes to the evolving landscape of education technology, emphasizing the significance of AI-driven tools in augmenting educational practices and enhancing student learning outcomes. This study paves the way for further exploration of AI integration in educational contexts, offering insights into the transformative potential of generative AI technologies like ChatGPT.
REPRESENTATION OF LIBRARY AND LIBRARIANS IN THE MUSIC VIDEO BERTAHAN/PERGI-RAISA
Authors: Samtani Heri , Aurelia Anna Evandra , Safitri Azzahra Julianty , Firdani Nadia Putri
Published: November 2024

This research aims to interpret and show how libraries and librarians are represented in the music video Bertahan/Pergi-Raisa. The research method is qualitative using Ferdinand de Saussure’s semiotics analysis to reveal the relationship between signifier and signified which constructs the audience's understanding of libraries and librarians. Signifier and signified regarding libraries and librarians are dissected through the images/video and dialogue between characters. In the Bertahan/Pergi’s clip, the type of library shown is the latest library version, with a typical cafe interior design. However, the library is still described as a place with no visitors and has a dark atmosphere. The library is also represented as a place to look for references, as well as a meeting space between writers and book readers. Apart from that, this clip also represents librarians as people who love reading, respecting toward social interaction, and are able to think critically, moreover they are also kind and intelligent.
MANAJEMEN ASET DIGITAL DALAM MENDUKUNG KEBERLANJUTAN KONTEN DI LIBRARY NET TV
Authors: Puspita Gita Rahma , Sukaesih Sukaesih , Rohman Asep Saeful
Published: November 2024

Digital asset management (DAM) has become a very important part of the media industry, especially in television stations. The use of Digital asset management (DAM) on NET TV is not just a technological innovation, there is an urgency to maintain business continuity and media content. NET TV understands that it is not only important to create high-quality content, but it is also essential to maintain and utilize it efficiently in the long term. With the implementation of DAM, NET TV can optimize the management of its digital assets, ensuring content can be accessed, managed and reused effectively. The aim of this research is to find out and analyze digital asset management in supporting the sustainability of content carried out by Library NET TV. This research uses a qualitative method with a case study approach. The techniques used in collecting data are interviews and observations, with methodspurposive sampling as a determinant of informants. The results of this research analysis show that creation is divided into in-house and out-house. Asset management includes ingest, editing, QC, and indexing and metadata stages with Dublin Core standards. The long-term archiving process uses LTO. Distribution is carried out according to the NET Corner SOP, as well as asset reuse using INVENIO software with metadata search. Content sustainability involves an iterative cycle from creation to reuse of digital assets.
Analisis Sentimen Terhadap Ulasan Aplikasi Shopee di Google Play Store Menggunakan Metode TF-IDF dan Long Short-Term Memory)
Authors: Musfiroh Musfiroh , Tholib Abu , Arifin Zainal
Published: November 2024

Pengunjung Shopee semakin meningkat dari tahun 2022 hingga 2023. Karena peningkatan itu, semakin banyak pengguna yang berkomentar negatif atau positif. Maka, mengetahui sentimen pengguna pada aplikasi Shopee dapat mengetahui perilaku pelanggan dan meningkatkan penjualan. Penelitian ini menggunakan metode TF-IDF dan algoritma LSTM. Adapun tahapan penelitian seperti scrapping data yang menggunakan ulasan pengguna aplikasi Shopee di Google Play Store sebanyak 3565 data. Lalu data dikategorikan menjadi tiga kelas: positif, netral, dan negatif. Proses preprocessing meliputi Tokenization, Normalization, Stopword, dan Stemming. Selanjutnya dilakukan proses train data dan data test sebesar 8:2. Lalu melakukan vektorisasi dengan TF-IDF, melatih model dengan penggabungan TF-IDF dan LSTM (Long Short-Term Memory), serta menggunakan metrics untuk mengevaluasi model dan visualisasi menggunakan word cloud. menghasilkan akurasi sebesar 83% dengan nilai loss (kerugian) sebesar 0.1385. Model memiliki kemampuan cukup baik dalam memprediksi kelas negatif dan positif tetapi kurang efektif untuk kelas netral karena data yang kurang seimbang.
Pengaruh Komposisi Split Data Terhadap Performa Akurasi Analisis Sentimen Algoritma Naïve Bayes dan SVM
Authors: Prasetyo Yoga Adi , Utami Ema , Yaqin Ainul
Published: November 2024

Analisis sentimen merupakan bidang yang penting dalam pengolahan bahasa alami dan aplikasi sosial media modern. Penelitian ini menginvestigasi pengaruh dari variasi komposisi split data terhadap performa akurasi model analisis sentimen menggunakan SVM dan Naive Bayes. Metode eksperimen menggunakan variasi dari teknik k-fold cross-validation untuk membandingkan hasil dari berbagai proporsi pembagian data latih dan uji. Hasil eksperimen menunjukkan bahwa komposisi split data memiliki dampak signifikan terhadap performa akurasi kedua algoritma, dengan beberapa proporsi split data menghasilkan hasil yang lebih konsisten dan stabil dibandingkan dengan yang lain. Temuan ini memberikan wawasan yang berharga dalam pengaturan praktis untuk pelatihan model analisis sentimen yang lebih efektif dan andal. Teknik ekstraksi fitur yang digunakan Term Frequency-Inverse Document Frequency (TF-IDF), dengan algoritma klasifikasi Naive Bayes dan Support Vector Machine (SVM). Performa model dievaluasi menggunakan metrik seperti akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa signifikan model SVM dengan rasio 80:20 mencapai akurasi 76,66% dan F1-score 77 %, dibandingkan metode SVM dan Naïve Bayes dengan rasio lainnya.
Sistem Keamanan Sangkar Burung Berbasis Citra dengan Notifikasi Telegram
Authors: Aryanto Dedy , Ayuni Shazana Dhiya , Ahfas Akhmad , Falah Agus Hayatal
Published: November 2024

Keamanan properti menjadi salah satu aspek penting dalam kehidupan sehari-hari, termasuk dalam konteks perlindungan hewan peliharaan seperti burung. Burung, terutama yang bernilai tinggi atau langka, seringkali menjadi target pencurian. Oleh karena itu, diperlukan sistem keamanan yang efektif untuk melindungi burung peliharaan dari ancaman tersebut. Sistem keamanan tradisional umumnya mengandalkan metode seperti kunci fisik dan pengawasan manual, yang seringkali tidak cukup efektif dalam mencegah pencurian atau merespon ancaman secara real-time. Oleh karena itu, integrasi teknologi modern dalam sistem keamanan menjadi sangat penting. Salah satu teknologi yang dapat diandalkan adalah kamera berbasis IoT yang dapat memantau dan mengirimkan informasi secara langsung kepada pemilik melalui aplikasi pesan instan seperti Telegram. Baterai sebagai catu daya untuk semua komponen dalam dalam rangkaian dengan tegangan +5 volt. Untuk memonitoring sangkar burung, sensor PIR akan mendeteksi pergerakan melalui radiasi inframerah yang dipancarkan oleh tubuh manusia ataupun objek yang bergerak dan diwaktu yang bersamaan kamera dari ESP32-CAM melakukan pengambilan gambar lalu dikirim ke mikrokontroller ESP32-CAM, kemudian gambar akan dikirim ke Telegram dan mengirim notifikasi ke smartphone. Dan dapat  disimpulkan jika alat yang peneliti jabarkan berfungsi dengan baik dan sebagaimana dengan fungsi dan tujuan alat tersebut dibuat. Hal itu dibuktikan dengan bot aplikasi telegram yang berhasil terhubung dengan sistem dan menampilkan kondisi sekitar sangkar burung yang dijadikan obyek pada penelitian kali ini. System pada alat tersebut juga dapat  beroprasi dengan baik mesikpun dengan jarak yang jauh.
K-Means Clustering dengan Optimasi Algoritma Genetika untuk mengelompokkan daerah budidaya Cabai Jawa
Authors: Wahyudi Imam , Sarifah Luluk , Sukron Moh
Published: November 2024

Ada beberapa tanaman obat yang popular, salah satunya yaitu Cabai Jawa yang juga merupakan salah satu komuditas ekspor yang cukup tinggi dengan nilai jual yang fantastis, namun di Indonesia terutama di wilayah Madura pengetahuan masyarakat tentang hal tersebut masih minim karena memang tidak adanya pembudidayaan dari pemerintah sekitar. Oleh karena itu penelitian bertujuan untuk melakukan Clustering daerah yang membudidayakan tanaman ini sehingga ditemukan daerah yang masuk kategori rendah, sedang dan tinggi dipamekasan. Metode K-Means Clustering adalah metode yang cocok untuk penelitian ini dan alur kerjanya ialah mengelompokkan data n ke dalam cluster yang serupa dan berbeda dengan data cluster yang lainnya. Metode ini dikombinasikan dengan metode Algoritma Genetika sebagai optimasi pada centroid awal sehingga hasil dari clustering ini bisa optimal. Berdasarkan hasil evaluasi menggunakan Silhouette Coefficience didapatkan nilai sebesar 0. 52156 menggunakan GA dan K-Means
A multidisciplinary approach in the treatment of thoracic endometriosis
Authors: Gabidullina R. I. , Matveev V. Yu. , Minnullina F. F. , Kuptsova A. I. , Akhmetova D. I. , Perevertov I. M.
Published: November 2024

Purpose. To familiarize gynecologists with the clinical presentation, diagnosis and basic principles of treatment of thoracic endometriosis (TE).

Materials and Methods. The article presents a review of publications based on the results of search in electronic resources PubMed, Elibrary, EMBASE. The own clinical observation of the patient with TE is also presented.

Results. The clinical picture of TE can be different, in many patients it is asymptomatic. The typical symptom of TE is menstrual cycle-related, usually right-sided pain in the thoracic, scapular or shoulder area. Chest X-rays, computed tomography (CT), magnetic resonance imaging (MRI) and bronchoscopy are used in diagnosis. The gold standard for definitive diagnosis and effective treatment is video-assisted thoracoscopic surgery (VATS). As with pelvic disease, the first-line therapy for TE is medication to suppress ovarian steroid hormone production. Surgical treatment should be considered in patients with refractory or recurrent TE and in acute life-threatening conditions.

Conclusion. Management of patients with thoracic endometriosis requires an interdisciplinary approach involving gynecologists and thoracic surgeons.
Molecular mechanisms of action of DIM and its clinical application
Authors: Nikitina E. A. , Orlova S. V. , Batysheva T. T. , Balashova N. V. , Alekseeva M. V. , Vodolazkaya A. N. , Prokopenko E. V. , Magomedova Kh. A.
Published: November 2024

Optimal nutrition requires complete provision of the human needs not only for energy, macro- and micronutrients, but also for minor biologically active substances. Some of the most promising chemoprotectors are glucosinolates and their active derivatives, such as 3,3’-diindolylmethane (DIM). DIM has the ability to inhibit the development and progression of neoplasia by regulating multiple intracellular signaling pathways. Currently, the clinical efficacy of DIM is being studied in breast and prostate cancer, and the possibility of using DIM’s antioxidant and anti-inflammatory properties in neurodegenerative, metabolic and immune diseases is being investigated.
Representasi Moral Pada Serial Film Animasi Upin & Ipin Episode Hidup Bergaya Dalam Channel Youtube
Authors: Alkhoir Difa , Anwari
Published: November 2024

Film adalah bentuk seni yang mempengaruhi dan membentuk pandangan penonton melalui pesan-pesan yang disampaikannya. Pesan-pesan ini dapat bersifat edukatif, informatif, religius, moral, dan lain-lain. Sebagai contoh, film animasi "Upin & Ipin: Keris Siamang Tunggal" menjadi subjek menarik untuk dikaji dalam konteks ini. Penelitian ini bertujuan untuk mengungkap makna tanda-tanda dan pesan moral yang tersemat dalam film tersebut. Dengan menggunakan pendekatan kualitatif deskriptif dan metode analisis semiotika Roland Barthes, setiap adegan dalam film diperiksa secara mendalam untuk mengungkap makna tersembunyi di balik narasi visualnya. Melalui analisis ini, para peneliti berhasil mengidentifikasi dan menjelaskan tanda-tanda dalam film menggunakan konsep semiotika seperti denotasi, konotasi, dan mitos. Mereka juga menjelaskan pesan moral implisit yang disampaikan dalam cerita, seperti pentingnya kasih sayang, setia pada diri sendiri, hidup sederhana, kesabaran, kesadaran akan proses, dan menjaga keseimbangan antara dunia nyata dan virtual. Proses penelitian melibatkan tahapan seperti eksplorasi topik, formulasi masalah, penentuan metode, pengumpulan data, analisis mendalam, dan penarikan kesimpulan yang relevan. Dengan demikian, studi ini tidak hanya memberikan wawasan mendalam tentang film tersebut, tetapi juga menunjukkan bagaimana film animasi dapat efektif sebagai medium untuk menyampaikan nilai-nilai dan pesan-pesan yang bermakna kepada audiens, khususnya generasi muda.
Praktik Jasa Penyewaan Motor Di Rental Mekar Jaya Kampung Inggris Perspektif Hukum Ekonomi Syari’ah
Authors: Zahro'tun Nikmah  , Trinah Asi Islami
Published: November 2024

Penelitian yang bertujuan agar mengetahui dan mengkaji perspektif Hukum Ekonomi Syari’ah terhadap praktik jasa penyewaan motor di rental Mekar Jaya Kampung Inggris. Penelitian yang menggunakan penelitian yuridis empiris, dengan pendekatan konseptual dan analisis dengan metode induktif dan deskriptif. Bahan hukum primer pengamatan, wawancara, dokumentasi, dan data kepustakaan. Hukum sekunder didapatkan dari buku, jurnal dan literature. Hasil penelitian menunjukkan bahwasanya praktik jasa penyewaan motor di Rental Mekar Jaya ada 2 yakni secara langsung dan secara lisan. Dalam praktiknya masih memiliki kelemahan terkait akadnya (ijab dan qabul) karena dalam melakukan kesepakatan antara kedua belah pihak namun salah satu pihak ingkar janji atau wanprestasi akan kesepakatan tersebut dalam akad ijarah, sehingga apabila terjadi musibah bentuk pertanggung jawaban pihak penyewa adakala tidak sepenuhnya ditanggung oleh pihak penyewa. Dalam konteks hukum ekonomi syari’ah terkait prinsip-prinsipnya dari sebagian pihak penyewa di Rental Mekar Jaya tidak sepenuhnya memenuhi prinsip-prinsip hukum ekonomi syari’ah. Penelitian ini diharapkan dapat memberikan kontribusi dalam meningkatkan praktik akad ijarah pada jasa penyewaan motor dengan memperhatikan nilai-nilai hukum ekonomi syari’ah.
Pendidikan Akhlak Dari Novel Hati Suhita Oleh Khilma Anis Dan Kaitannya Pada Pendidikan Islam Masa Kini
Authors: Nabilah Rosidah Junaidi  , Burhanuddin Ridlwan
Published: November 2024

Dalam mata pelajaran moral, manusia sebagai makhluk beretika memiliki kewajiban untuk melaksanakan dan mempertahankan moral yang tepat dan menghindari serta meninggalkan moral yang buruk. lembaga pendidikan memasukkan pelatihan etika sebagai bagian dari Pendidikan agama Islam (PAI) Pendidikan moral tidak cukup hanya menerapkan teori saja, melainkan memerlukan contoh dan praktiknya. Oleh karena itu, ada kesan bahwa saat ini diperlukan adanya media yang menunjang proses pembelajaran moral siswa. Novel adalah salah satu jenis prosa yang diceritakan melalui cerita. Walaupun merupakan novel fiksi, namun mampu menggugah minat pembacanya. Penelitian ini bertujuan untuk mengetahui nilai pendidikan moral yang terdapat dalam novel Hati Suhita oleh Khilma Anis dan bagaimana kaitannya dengan pendidikan agama Islam modern. Peneliti menggabungkan metode dari studi pustaka dengan pendekatan kualitatif. Temuan penelitian menunjukkan bahwa prinsip-prinsip moral dalam novel tersebut meliputi berdoa, berinfak, bersabar, mengendalikan amarah, bersikap jujur, bekerja keras, dan berakhlak kepada orang tua dan masyarakat. Para peneliti juga menemukan bahwa novel Hati Suhita, sebuah novel yang memiliki banyak gagasan mulia dan alur cerita yang menarik yang bertujuan untuk menggerakkan pembaca, memiliki potensi untuk menjadi media alternatif untuk pendidikan moral. Selain itu, prinsip-prinsip moral dalam novel ini selaras dengan konten moral PAI yang mengacu pada KMA. Oleh karena itu, buku ini dianggap relevan dengan pengajaran agama Islam saat ini.
Oral Processing of Chocolate
Authors: Smith Ann , Breward Christopher , Hall Eric , Icardi Matteo , Lacey Andrew , Luckins Ellen , Meyer Karen , Lee william , Shirley Matthew
Published: November 2024

Mathematical modelling is used to address the oral processing of chocolate. Chocolate is a suspension of fat (cocoa butter), sugar, cocoa solids and other components such as milk power and emulsifiers. Models are developed for phase change and dissolution, both spatially averaged and tracking interfaces between components. Where data is available parameters are estimated, otherwise estimates are made of the relative importance of different terms. Models are analysed by non-dimensionalisation and asymptotic reduction. Where analytic solutions cannot be calculated models are solved numerically.
Analisis Usahatani Tanaman Pohon Pisang Talas di Desa Batuah Kecamatan Pamukan Barat Kalimantan Selatan
Authors: Raqib Muhammad Abdullah , Farida Idha
Published: November 2024

Penelitian ini bertujuan untuk mengetahui keragaan usaha tanaman pohon pisang talas dan  menganalisis pendapatan usahatani tanaman pohon pisang talas di Desa Batuah, Kecamatan Pamukan Barat, Kabupaten Kotabaru, Provinsi Kalimantan Selatan. Penelitian ini dilakukan dengan metode observasi serta pengamatan secara langsung dengan pencatatan secara sistematis dan wawancara langsung dengan petani. Jumlah petani yang diteliti sebanyak 5 orang petani dari populasi 20 orang petani. Hasil penelitian ini menunjukan keragaan usahatani pisang talas di Desa Batuah, Kecamatan Pamukan Barat, Kabupaten Kotabaru meliputi lahan layak untuk usahatani tanaman pisang  talas, peralatan usahatani yang digunakan berupa cangkul, parang, sprayer tangki dan lanjung, input produksi yang digunakan seperti pupuk Urea, KCl dan Phonska serta herbisida Round-up dan pestisida Furadan, hasil produksi berupa buah pisang talas. Pendapatan yang diperoleh petani dari usahatani pisang talas di Desa Batuah, Kecamatan Pamukan Barat, Kabupaten Kotabaru sebesar Rp.179.090.000 per tahun atau Rp.14.924.166 per bulan.
New insights into the role of cellular senescence and chronic wounds
Authors: Yang Huiqing , Zhang Xin , Xue Bo
Published: November 2024

Chronic or non-healing wounds, such as diabetic foot ulcers (DFUs), venous leg ulcers (VLUs), pressure ulcers (PUs) and wounds in the elderly etc., impose significant biological, social, and financial burdens on patients and their families. Despite ongoing efforts, effective treatments for these wounds remain elusive, costing the United States over US$25 billion annually. The wound healing process is notably slower in the elderly, partly due to cellular senescence, which plays a complex role in wound repair. High glucose levels, reactive oxygen species, and persistent inflammation are key factors that induce cellular senescence, contributing to chronic wound failure. This suggests that cellular senescence may not only drive age-related phenotypes and pathology but also be a key mediator of the decreased capacity for trauma repair. This review analyzes four aspects: characteristics of cellular senescence; cytotoxic stressors and related signaling pathways; the relationship between cellular senescence and typical chronic non-healing wounds; and current and future treatment strategies. In theory, anti-aging therapy may influence the process of chronic wound healing. However, the underlying molecular mechanism is not well understood. This review summarizes the relationship between cellular senescence and chronic wound healing to contribute to a better understanding of the mechanisms of chronic wound healing.
A multi-task learning based line parameter identification method for medium-voltage distribution network
Authors: Jiang Xuebao , Zhou Chenbin , Pan Qi , Wang Liang , Wu Bowen , Xu Yang , Chen Kang , Fu Liudi
Published: November 2024

Accurate line parameters are critical for and dispatch in distribution systems. External operating condition variations affect line parameters, reducing the accuracy of state estimation and power flow calculations. While many methods have been proposed and obtained results rather acceptable, there is room for improvement as they don’t fully consider line connections in known topologies. Furthermore, inaccuracies in measurement devices and data acquisition systems can introduce noise and outliers, impacting the reliability of parameter identification. To address these challenges, we propose a line parameter identification method based on Graph Attention Networks and Multi-gate Mixture-of-Experts. The topological structure of the power grid and the capabilities of modern data acquisition equipment are utilized to capture. We also introduce a multi-task learning framework to enable joint training of parameter identification across different branches, thereby enhancing computational efficiency and accuracy. Experiments show that the GAT-MMoE model outperforms traditional methods, with notable improvements in both accuracy and robustness.
Single-cell RNA sequencing analysis identifies acute changes in the tumor microenvironment induced by interferon α gene therapy in a murine bladder cancer model
Authors: Steinmetz Alexis R. , Pierce Morgan , Martini Alberto , Tholomier Come , Manyam Ganiraju , Chen Yan , Sood Akshay , Duplisea Jonathan J. , Johnson Burles A. , Czerniak Bogdan A. , Lee Byron H. , Jagannath Chinnaswamy , Yla-Herttuala Seppo , Parker Nigel R. , McConkey David J. , Dinney Colin P. , Mokkapati Sharada
Published: November 2024

Introduction

Nadofaragene firadenovec (Ad-IFNα/Syn3) is now approved for BCG-unresponsive bladder cancer (BLCA). IFNα is a pleiotropic cytokine that causes direct tumor cell killing via TRAIL-mediated apoptosis, angiogenesis inhibition, and activation of the innate and adaptive immune system. We established an immunocompetent murine BLCA model to study the effects of murine adenoviral IFNα (muAd-Ifnα) gene therapy on cancer cells and the tumor microenvironment using a novel murine equivalent of Nadofaragene firadenovec (muAd-Ifnα).

Methods

Tumors were induced by instilling MB49 cells into the bladders of mice; luciferase imaging confirmed tumor development. Mice were treated with adenovirus control (Ad-Ctrl; empty vector), or muAd-Ifnα (3x1011 VP/mL), and survival analysis was performed. For single-cell sequencing (scRNAseq) analysis (72h), bladders were harvested and treated with collagenase/hyaluronidase and TrypLE for cell dissociation. Single cells were suspended in PBS/1% FBS buffer; viability was assessed with Vicell cell counter. scRNAseq analysis was performed using 10X genomics 3’ sequencing. Raw RNAseq data were pre-processed using Cell Ranger single-cell software. Seurat (R package) was used to normalize and cluster the scRNA data. Pooled differential gene expression analysis in specific cell clusters was performed with DESeq2.

Results

We identified 16 cell clusters based on marker expression which were grouped into epithelial (tumor), uroplakin-enriched, endothelial, T-cells, neutrophils, and macrophage clusters. Top differentially expressed genes between muAd-Ifnα and Ad-Ctrl were identified. Within the specific cell clusters, IPA analysis revealed significant differences between muAd-Ifnα and control. IFNα signaling and hypercytokinemia/chemokinemia were upregulated in all clusters. Cell death pathways were upregulated in tumor and endothelial clusters. T-cells demonstrated upregulation of the immunogenic cell death signaling pathway and a decrease in the Th2 pathway genes. Macrophages showed upregulation of PD1/PD-L1 pathways along with downregulation of macrophage activation pathways (alternate and classical). Multiplex immunofluorescence confirmed increased infiltration with macrophages in muAd-Ifnα treated tumors compared to controls. PD1/PD-L1 expression was reduced at 72h.

Discussion

This single-cell analysis builds upon our understanding of the impact of Ad-IFNα on tumor cells and other compartments of the microenvironment. These data will help identify mechanisms to improve patient selection and therapeutic efficacy of Nadofaragene firadenovec.
Cold storage promotes germination and colonization of arbuscular mycorrhizal fungal hyphae as propagules
Authors: Liu Xiaodi , Ye Guojian , Feng Zengwei , Zhou Yang , Qin Yongqiang , Yao Qing , Zhu Honghui
Published: November 2024

The inoculants of arbuscular mycorrhizal fungi (AMF) propagated by the in vitro culture system is important in scientific research; however, the long-term storage reduces the spore germination rate. The propagules of AMF consist of three components, including spores, hyphae and colonized root fragments. It is well known that cold storage can improve the germination rate of AMF spores, with limited investigations on the germination of other propagules. In this study, AMF inoculants were stored at 25°C or at 4°C (cold storage) to investigate the effect of cold storage on the propagule viability of the AMF Rhizophagus irregularis DAOM197198. The germination rate of propagules (spores, hyphae, root fragments) and their colonization ability were determined at 3 and 6 months after storage. The results showed that the spore germination rate remained unchanged after storage for 0 and 1 month at 25°C, but decreased rapidly after storage for 3 months. Furthermore, we investigated the hyphal germination rate for the first time. The germination rates of spores, hyphae and root fragments were significantly higher under cold storage compared to those at 25°C. Additionally, we classified the germ tubes of hypha into two types: long-type (L-type) and short type (S-type). The germination rate and the proportion of L-type germ tubes of hyphae significantly increased with cold storage time, which was conducive to colonization. The results of mycorrhizal colonization confirmed that cold storage significantly increased the colonization of hypha compared with 25°C treatment. Cold storage may break the dormancy of AMF propagules and activate related enzymes to promote the germination and colonization of propagules, which needs further investigation.
Advances in viticulture via smart phenotyping: current progress and future directions in tackling soil copper accumulation
Authors: Pii Youry , Orzes Guido , Mazzetto Fabrizio , Sambo Paolo , Cesco Stefano
Published: November 2024

Modern viticulture faces significant challenges including climate change and increasing crop diseases, necessitating sustainable solutions to reduce fungicide use and mitigate soil health risks, particularly from copper accumulation. Advances in plant phenomics are essential for evaluating and tracking phenotypic traits under environmental stress, aiding in selecting resilient vine varieties. However, current methods are limited, hindering effective integration with genomic data for breeding purposes. Remote sensing technologies provide efficient, non-destructive methods for measuring biophysical and biochemical traits of plants, offering detailed insights into their physiological and nutritional state, surpassing traditional methods. Smart phenotyping is essential for selecting crop varieties with desired traits, such as pathogen-resilient vine varieties, tolerant to altered soil fertility including copper toxicity. Identifying plants with typical copper toxicity symptoms under high soil copper levels is straightforward, but it becomes complex with supra-optimal, already toxic, copper levels common in vineyard soils. This can induce multiple stress responses and interferes with nutrient acquisition, leading to ambiguous visual symptoms. Characterizing resilience to copper toxicity in vine plants via smart phenotyping is feasible by relating smart data with physiological assessments, supported by trained professionals who can identify primary stressors. However, complexities increase with more data sources and uncertainties in symptom interpretations. This suggests that artificial intelligence could be valuable in enhancing decision support in viticulture. While smart technologies, powered by artificial intelligence, provide significant benefits in evaluating traits and response times, the uncertainties in interpreting complex symptoms (e.g., copper toxicity) still highlight the need for human oversight in making final decisions.
Trajectory Planning and Performance Atlases of a New Omnidirectional Conveyor
Authors: Zhang Zhuo , Sun Tianyu , Wang Zexing , Zhang Xuping
Published: November 2024

This paper proposes an omnidirectional conveyor as a novel alternative to existing omnidirectional conveyors. With a symmetric and compact layout, this new structure ensures consistent kinematics and enhanced flexibility in trajectory planning. The kinematic model of the proposed omnidirectional conveyor is developed and verified through simulation in CoppeliaSim. Four typical classes of trajectories are generated and verified in the simulation environment. Using PID control, the actual trajectories of a package on the conveyor closely match the desired trajectories. In addition, this paper outlines the workspace and corresponding wheel patterns for the conveyor, demonstrating how different supported wheel patterns emerge when packages move across various areas of the conveyor. The discussion extends to fault tolerance and obstacle avoidance, examining the workspace and wheel patterns with one or two omni wheels failed. Furthermore, this paper provides a comprehensive analysis of the feasible desired movements for the packages on the conveyor under the constrained wheel speed. This provides insights and guidance on trajectory planning and design of the conveyor.
Lidocaine’s Ineffectiveness in Mitigating Lipopolysaccharide-Induced Pain and Peristaltic Effects in Horses
Authors: Sousa Lara Nunes , Winter Isabella Caixeta , Varela Diego Duarte , Luvison Eduarda Zancanaro , Guzmán Juan Felipe Colmenares , Machado Ana Moutinho Vilella , Figueiredo Renata Diniz Vilela , Pena Gabriel Tavares , dos Santos Ana Clara Silva , Faleiros Rafael Resende , Carvalho Armando de Mattos
Published: November 2024

The present study involved seven horses in a randomized crossover clinical trial to evaluate the effect of lidocaine on horses with induced endotoxemia. Horses received intravenous lidocaine (1.5 mg/kg bolus, followed by 0.05 mg/kg bwt/min) or placebo (0.9% sodium chloride at the same manner) one hour before LPS administration (0.03 μg/kg, IV infusion over 30 min). We monitored clinic and hematologic parameters, abdominal auscultation, ultrasound, and pain over time. No relevant clinical differences existed between treatments regarding peristalsis, abdominal pain, or any other parameters before and after endotoxemia induction. These findings do not support the clinical use of lidocaine to mitigate abdominal pain and intestinal hypomotility promoted by endotoxemia in horses.