bluuebunny/crossref_metadata_2025_split huggingface dataset:
Demand and influencing factors of “Internet + Traditional Chinese Medicine” home nursing service for older adult patients with chronic diseases: a mixed research perspective
Authors: Wang Xinghuan , Chen Jinyan , Feng Meiqin , Zhuang Miaoqing , Wang Jiayi , Zhang Luyu , Liu Yue , Chen Hongfang 
Published: October 2023

BackgroundIn the context of global aging, the characteristics of chronic diseases seriously affect the quality of life of older adults. It is urgent to carry out continuous nursing basis for older adult patients with chronic diseases. In view of the remarkable efficacy of Chinese medicine in the treatment of chronic diseases, this study may help to understand the demand for “Internet + Chinese medicine” home care service and its influencing factors of older adult chronic disease patients, and to provide a reference basis for improving the quality of life of the older adult chronic disease population.MethodsThis is a mixed study. The quantitative study adopted the convenience sampling method, and a total of 308 patients in a third-grade hospital in Shaanxi Province were investigated by general data questionnaire, traditional Chinese medicine service demand questionnaire, traditional Chinese medicine knowledge questionnaire, older adult Chinese medicine attitude questionnaire, and home care demand questionnaire from March to April 2022. In the qualitative study, semi-structured interviews were adopted, and patients were interviewed until the content was saturated. Colaizzi analysis method was used to analyze and summarize the topic of the interview data.Results308 valid questionnaires were collected, and the patients scored (58.42 ± 17.16) on the demand for TCM nursing services, (59.86 ± 11.54) on the knowledge of TCM, (73.03 ± 9.11) on the attitude toward TCM, and (136.84 ± 46.39) on the demand for home care. The results of multiple linear regression showed that learning about the nursing service pathway, knowledge of general knowledge of Chinese medicine, and attitude toward Chinese medicine among the older adult and home care demand were the influencing factors of the demand for Chinese medicine nursing services for older adult patients with chronic diseases (p &lt; 0.05). The results of the in-depth interviews were summarized into three themes: facilitating factor, hindering factor, and the “Internet + Chinese medicine” multiple needs of home care.ConclusionOlder adult patients with chronic diseases have a high intention of home care demand and they are affected by multiple factors. Consequently, the actual demand situation of older adult patients with chronic diseases should be used as a guide to provide directed and diversified Chinese medicine home care services to meet the individualized needs of the older adult.
Analyzing the dynamics of social media texts using coherency network analysis: a case study of the tweets with the co-hashtags of #BlackLivesMatter and #StopAsianHate
Authors: Jiang Ke , Xu Qian 
Published: October 2023

IntroductionThis study examines the associations between time series, termed “coherency,” using spectral analysis. Coherence squared, analogous to the squared correlation coefficient, serves as a metric to quantify the degree of interdependence and co-evolution of individual nodes.MethodsWe utilized spectral analysis to compute coherence squared, unveiling relationships and co-evolution patterns among individual nodes. The resultant matrix of these relationships was subjected to network analysis.ResultsBy conducting a case study analyzing tweets associated with the co-hashtags #StopAsianHate and #BlackLivesMatter, we present a novel approach utilizing coherency network analysis to investigate the dynamics of social media text. Frequency domain analysis aided in calculating coherence squared, effectively illustrating the relationships and co-evolution of individual nodes. Furthermore, an analysis of the phase spectrum's slope facilitated the determination of time lag and potential causality direction between highly co-evolved node pairs.DiscussionOur findings underline the potential of coherency network analysis in comprehending the intricate dynamics of social media text. This approach offers valuable insights into how topics, sentiments, or movements manifest and evolve within the digital realm. Future research should explore diverse datasets and domains to broaden our understanding of this novel analytical technique.
Risk factors for distal junctional kyphosis after posterior spinal surgery in adolescent idiopathic scoliosis: a meta-analysis
Authors: Jia Ruili , Long Yubin 
Published: October 2023

IntroductionDistal junctional kyphosis (DJK) is a serious complication after posterior spinal surgery in managing adolescent idiopathic scoliosis (AIS). Our study aims to investigate the predictors of DJK in AIS patients.MethodsWe searched the English databases of PubMed, Embase, and the Cochrane Library for clinical research studies on AIS. To identify the risk factors for DJK, we collected demographic data, such as age, gender, and body mass index (BMI), and sagittal parameters, including preoperative pelvic tilt (PT), sagittal vertical axis (SVA), lumbar lordosis (LL), thoracic kyphosis (TK), thoracolumbar kyphosis (TLK), distal junctional angle (DJA), lowest instrumented vertebrae (LIV) relative to sagittal stable vertebrae (SSV), and postoperative DJA. Data were analyzed by RevMan (5.3 version) and STATA (12.0 version).ResultsFinally, six included articles (1,240 patients) showed 9% (98 of 1,240 patients) of patients suffering from DJK. Our findings indicated that preoperative TK [p = 0.007, OR = 0.35, 95% CI (0.10, 0.61)], TLK [p &lt; 0.0001, OR = 5.99, 95% CI (3.33, 8.65)], and postoperative DJA [p = 0.002, OR = 0.56, 95% CI (0.21, 0.91)] in the DJK group were markedly higher than those in the non-DJK group. Moreover, patients with LIV above SSV [p &lt; 0.0001, OR = 7.95, 95% CI (4.16, 15.22)] were more likely to develop DJK. No discernible difference was found in age, sex, BMI, preoperative PT, SVA, LL, or DJA between the two groups.ConclusionsRegarding the AIS patients, factors such as higher preoperative TK and TLK, higher postoperative DJA, and LIV above the SSV were related to an increased rate of DJK.
The New Four-Dimensional Fractional Chaotic Map with Constant and Variable-Order: Chaos, Control and Synchronization
Authors: Hamadneh Tareq , Ahmed Souad Bensid , Al-Tarawneh Hassan , Alsayyed Omar , Gharib Gharib Mousa , Al Soudi Maha S. , Abbes Abderrahmane , Ouannas Adel 
Published: October 2023

Using fractional difference equations to describe fractional and variable-order maps, this manuscript discusses the dynamics of the discrete 4D sinusoidal feedback sine iterative chaotic map with infinite collapse (ICMIC) modulation map (SF-SIMM) with fractional-order. Also, it presents a novel variable-order version of SF-SIMM and discusses their chaotic dynamic behavior by employing a distinct function for the variable fractional-order. To establish the existence of chaos in the suggested discrete SF-SIMM, some numerical methods such as phase plots, bifurcation and largest Lyapunov exponent diagrams, C0 complexity and 0–1 test are utilized. After that, two different control schemes are used for the conceived discrete system. The states are stabilized and asymptotically forced towards zero by the first controller. The second controller is used to synchronize a pair of maps with non–identical parameters. Finally, MATLAB simulations will be executed to confirm the results provided.
Naval Cybersecurity in the Age of AI: deceptive ISAR Images Generation with GANs
Authors: Meucci Giulio , Karahoda Bertan , Oveis Amir Hossein , Mancuso Francesco , Jajaga Edmond , Cantelli-Forti Alessandro 
Published: October 2023

<p>Navigational systems, the heart of maritime oper- ations, face escalating cybersecurity risks due to their system of systems nature and reliance on diverse suppliers. Amid concerns about supply chain attacks and insider threats, the potential for malicious radar image injections, including Inverse Synthetic Aperture Radar (ISAR) images, is emerging. Such manipulations can critically undermine navigational integrity through the generation of decoy targets, the strategic relocation of existing ones, and the effective concealment of additional targets. We have identified where an Advanced Persistent Threat (APT) could be concealed within the processing chain of a modern radar system. This study demonstrates the potential of APTs to exploit Generative Adversarial Networks (GANs) for the creation of deceptive ISAR images, thereby spotlighting this previously unexplored threat vector. Our findings offer novel insights into bolstering maritime cybersecurity in an increasingly AI-dominated landscape. </p>
Social Engineering as a Driving Force for Innovation in Cybersecurity
Authors: Dabke Viyan , Gadgil Dr. Guruprasad , Dabke Yanik 
Published: October 2023

<p>Cybersecurity measures have long been manipulated, bypassed, and broken. This malpractice points to a facet of human error and innocence, one that is exploited through social engineering. This systematic review highlights the complex and intertwined relationship between the development of new social engineering techniques and the introduction of novel cybersecurity measures. This paper summarizes the history of social engineering, the implications of social engineering, and the use of social engineering to identify preventative solutions to breaches in cybersecurity. This review utilizes common practices, theoretical thinking, and case studies to provide a complete picture of the aforementioned topics. More research must be done and more discussion should take place to determine the future of social engineering’s role in the field of cybersecurity. </p>
Optical Networks Automation Overview: A Survey
Authors: Cruzes Sergio 
Published: October 2023

<p>Innovations in optical networks created new technological challenges as routing and spectrum allocation (RSA) problem, fragmented spectrum, the need for rapid and efficient channel restoration, and put pressure on the operation and maintenance. With a lot of lots of variables or knobs to adjust, it is crucial to improve the automation as traditional algorithms are not able to handle the network efficiently. So, this requires sensors, network abstraction, actuators and SDN (Software Defined Networking) in order to run algorithms on top, control, manage the network and make decisions. In addition to this, there are the requirements for low-margin systems and probabilistic shaping. So, machine learning (ML) provides a collection of techniques to adapt to this dynamic and flexible environment and provide a network that learn from experience, optimize and make the networks agile, robust, dynamic, and smarter. At the same time, network automation together with machine learning may cause an explosion in power consumption, making this solution costly, inefficient and not sustainable. </p>
EDA-graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection
Authors: Mercado Diaz Luis Roberto , Rao Veeranki Yedukondala , Marmolejo-Ramos Fernando , Posada-Quintero Hugo 
Published: October 2023

<p>The continuous detection of emotional states has many applications in mental health, marketing, human-computer interaction, and assistive robotics. Electrodermal activity (EDA), a signal modulated by sympathetic nervous system activity, provides continuous insight into emotional states. However, EDA possesses intricate nonstationary and nonlinear characteristics, making the extraction of emotion-relevant information challenging. We propose a novel graph signal processing (GSP) approach to model EDA signals as graphical networks, termed EDA-graph. The GSP leverages graph theory concepts to capture complex relationships in time-series data. To test the usefulness of EDA-graphs to detect emotions, we processed EDA recordings from the CASE emotion dataset using GSP by quantizing and linking values based on the Euclidean distance between the nearest neighbors. From these EDA-graphs, we computed the features of graph analysis, including total load centrality (TLC), total harmonic centrality (THC), number of cliques (NoC), diameter, and graph radius, and compared those features with features obtained using traditional EDA processing techniques. EDA-graph features encompassing TLC, THC, NoC, diameter, and radius demonstrated significant differences (p<0.05) between five emotional states (Neutral, Amused, Bored, Relaxed, and Scared). Using machine learning models for classifying emotional states evaluated using leave-one-subject-out cross-validation, we achieved a five-class F1 score of up to 0.68. </p>
MENILAI KUALITAS SOAL SETARA AKM KOMPONEN LITERASI NUMERIK BUATAN GURU SMP DI KABUPATEN MADIUN BERDASARKAN KONTEN, KONTEKS, LEVEL KOGNITIF, DAN VARIASI SOAL
Authors: Ismail Ismail , Mega Teguh Budiarto  , Pradnyo Wijayanti  , Susanah  , Nina Prihartiwi  
Published: October 2023

Ujian nasional (UN) telah diganti menjadi asesmen nasional (AN) oleh Kementerian Pendidikan dan Kebudayaan. Asesmen nasional itu terdapat tiga instrumen, yakni asesmen kompetensi minimum (AKM), survei karakter, dan survei lingkungan belajar. AKM merupakan penilaian kompetensi mendasar yang diperlukan oleh semua siswa untuk mampu mengembangkan kapasitas diri dan berpartisipasi positif pada masyarakat. Guru-guru Matematika SMP di Kabupaten Madiun ingin meningkatkan kemampuan profesionalnya dalam menyusun soal berbasis AKM, terutama terkait literasi numerik. Dengan adanya pelatihan penyusunan soal berbasis AKM ini, diharapkan mereka dapat mengembangkan di sekolahnya masing-masing dan dilatihkan cara penyelesaian soal tersebut pada para siswanya. Hasil kegiatan pelatihan pengembangan soal-soal setara AKM Numerik yang sudah dilakukan peserta sebagai berikut: Soal yang dikembangkan sudah meliputi semua konten yang ada meliputi konten bilangan, geometri dan pengukuran, konten data dan ketidakpastian, dan konten aljabar. Sedangkan konteks sebagai stimulus yang menyertai soal meliputi konteks personal, saintifik dan sosial budaya. Selanjutnya peserta berhasil menyusun soal-soal yang terdiri dari soal pemahaman, soal penerapan, dan soal penalaran, sedangkan untuk bentuk soal terdiri dari soal berbentuk Benar-Salah, soal berbentuk pilihan ganda, soal berbentuk pilihan ganda kompleks, soal berbentuk jawaban singkat, dan soal berbentuk uraian.
INTRODUKSI PEMANFAATAN HIDROPONIK UNTUK BUDI DAYA TANAMAN KANGKUNG
Authors: Purwono Bambang Sugiyono Agus , Soeparto Wahyudi Henky , Dewi Grace Citra , Efrata Tommy Christian 
Published: October 2023

Hidroponik merupakan suatu metode budi daya tanaman perdu yang tidak perlu menggunakan tanah. Luas lahan di pemukiman relatif tidak luas, sehingga perlu solusi untuk budi daya tanaman, juga persentase Ruang terbuka Hijau (RTH) masih sempit di bawah 30%. Jumlah bangunan di Perumahan Dirgantara Permai adalah 750 unit dengan luas lahan adalah 135, 180, dan 225 m2 dan luas bangunan adalah 45 m2 dan 54 m2. Fasilitas umum dan lapangan terbuka relatif masih sempit. Ada pun tujuan pengabdian masyarakat ini adalah untuk melakukan sosialisasi tentang pemanfaatan peralatan hidroponik untuk menanam yang bermanfaat di dalam kebutuhan sehari-hari. Peralatan hidroponik dengan ukuran 2,5 m x 2 m dengan bahan baku pipa PVC, dan profil aluminium. Pipa PVC dengan diameter 3, 3,5, dan 4 inci dan panjang 2 m dan bertingkat. Secara paralel atau secara horisontal ada 4 batang dan secara vertikal ada 4 tingkat. Jarak antar lubang bibit tanaman adalah 15, 20, dan 25 cm dan tiap pot ada 5 biji benih tanaman kangkung. Hasil adalah sayuran tanaman kangkung untuk kebutuhan sehari-hari dan bisa dipanen sampai 5 kali setelah berumur antara 24 sampai 30 hari. Daun kangkung memiliki rasa manis dan serat daun kangkung yang lunak.
PENGGUNAAN KOMBINASI PEMBELAJARAN KOOPERATIF TIPE JIGSAW DENGAN MEDIA BENDA ASLI UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS VIII E DI SMP NEGERI 29 SURABAYA
Authors: Yunita Rochmawati  
Published: October 2023

Penelitian tindakan kelas ini bertujuan untuk meningkatkan hasil belajar matematika khususnya pada materi bangun datar lingkaran di kelas VIII E SMP Negeri 29 Surabaya. Penelitian ini dilakukan sebagai respon dari menurunnya kualitas siswa dalam belajar. Kegiatan pembelajaran yang menggunakan materi-materi yang tidak kontekstual dan prestasi siswa yang rendah baik dalam proses maupun produk terlihat pada guru yang menggunakan cara mengajar secara tradisional. Kondisi tersebut berpotensi untuk membuat siswa merasa bosan dan menurunkan motivasi belajar siswa. Penelitian ini menggunakan dua siklus. Pada siklus I separuh siswa belum biasa dengan penggunaan pembelajaran tipe jigsaw berbantuan media benda asli. Sedang pada siklus II sebelum pembelajaran dimulai guru menjelaskan dan siswa langsung mempraktekkan pembelajaran dengan kombinasi antara tipe Jigsaw dengan benda asli dan hasilnya cukup memuaskan. Hasil observasi menunjukkan bahwa aktivitas siswa cukup meningkat, dari nilai 71 pada siklus I menjadi 76 pada siklus kedua, Prestasi siswa juga mengalami peningkatan dari siklus I ke siklus II. Temuan ini menunjukkan bahwa pembelajaran dengan kombinasi antara pembelajaran kooperatif tipe Jigsaw dengan benda asli dapat meningkatkan prestasi belajar siswa.
IMPLEMENTASI GERAKAN LITERASI SEKOLAH (GLS) DI SDN KENDALREJO 01 KECAMATAN TALUN KABUPATEN BLITAR
Authors: Ria Ria Fajrin Rizqy Ana 
Published: October 2023

Permasalahan tentang GLS yang terdapat di SDN Kendalrejo 01 yaitu kurangnya tenaga khusus untuk mengelola perpustakaan. Perpustakaan merupakan salah satu faktor pendukung program GLS sebagai tempat penyediaan bahan bacaan. Tujuan dari penelitian ini yaitu untuk mendeskripsikan pelaksanaan program GLS, mendeskripsikan faktor pendukung program GLS, dan mendeskripsikan faktor penghambat program GLS di SDN Kendalrejo 01. Metode penelitian menggunakan kualitatif dengan pendekatan deskriptif kualitatif. Instrumen yang digunakan adalah lembar observasi, pedoman wawancara, dan dokumentasi. Subjek penelitian ini adalah kepala sekolah, guru dan siswa SDN Kendalrejo 01. Teknik analisis data penelitian adalah reduksi data, penyajian data, dan penarikan kesimpulan.
Hasil penelitian Pelaksanaan GLS di SDN Kendalrejo 01 berdasarkan tahapan pembiasaaan, tahap pengembangan, dan tahap pembelajaran. Pada tahap pembiasaan melakukan kegiatan 15 menit membaca, menyediakan pojok baca di kelas, menyediakan mading, menyediakan perpustakaan, dan pelibatan publik. Pada tahap pengembangan melakukan membaca terpandu dan membaca bersama. Pada tahap pembelajaran melakukan menata kelas berbasis literasi, menyimpulkan hasil bacaan yang dibaca siswa, dan menjelaskan Kembali isi bacaan yang dibaca siswa. Faktor pendukung pelaksanaan GLS di SDN Kendalrejo 01 yaitu tersedinya pustaka, buku bacaan, mading, pojok baca, dan poster-poster giat membaca. Faktor penghambat pelaksanaan GLS di SDN Kendalrejo 01 yaitu kebiasaan siswa yang kurang terhadap kegiatan membaca dan perpustakaan yang tidak berjalan dengan baik
USO DOS SELOS CRUELTY-FREE PELA INDÚSTRIA DE COSMÉTICOS
Authors: Aníbal Prado Rhana Augusta , Bizawu Kiwonghi 
Published: October 2023

Além de funcionar como um guia para os profissionais das áreas médica, farmacêutica e de cosméticos, o estudo da bioética auxilia na compreensão de questões relacionadas aos testes em animais. Este artigo visa analisar o papel da bioética nas pesquisas envolvendo animais como cobaias em empresas de cosméticos no Brasil, e como a mudança no olhar da sociedade impacta o setor, mais especificamente como já o impactou, a ponto de milhares de empresas utilizarem os selos cruelty-free em suas embalagens e em seus sítios oficiais, afirmando serem comprometidas com a erradicação da utilização de animais para tais fins. Trata-se de uma pesquisa descritiva qualitativa e bibliográfica assentada em método indutivo. Como resultado, foi possível verificar a mudança da política das empresas em seus métodos de checagem de segurança e investimento em tecnologia alternativa, muito por causa da pressão social e da mobilização popular para garantir um futuro mais sustentável visando à extinção dos testes em animais.
Farmers’ Varietal Perception towards Improved Bread Wheat Technologies in Ethiopia: an Implication for Bread Wheat Technology Development
Authors: Siyum Negussie Muluneh , Giziew Almaz , Anteneh Atrsaw , Purba Jhon Hardy , Mossie Habtamu , Adem Emam 
Published: October 2023

This study was proposed to analyze farmers’ varietal perception of bread wheat. From Meket district, four kebeles were randomly selected to achieve the above objective. The study uses cross-sectional data collected from randomly selected 214 farming households through an interview schedule. Fourteen Likert items were included in two categories as advantages and disadvantages of the technology. Five-point Likert scale was used to analyze varietal perceptions. One-way ANOVA was employed for testing the overall mean differences among bread wheat technology adoption categories. In addition, the Relative Importance Index (RII) was used to analyze item relative importance. Farmers supported improved bread wheat varieties for specific attributes such as, high marketability, early maturity, better grain yield, grain color, food quality, and storability were found to be taking the average score of 4.43, 4.43, 4.33, 4.01, 3.85, 3.45, and 3.26, respectively. Whereas, improved bread wheat varieties were perceived to be unsuitable for shattering problems, straw quality, and low yield performances in poor soil types. Therefore, breeding objectives should be oriented towards improving bread wheat variety traits related to shattering and straw quality. Limitation of labor is one of the major reasons for the low adoption rate of row planting. Hence, machinery should be carried out to promote row planting of bread wheat. Moreover, the study indicates the need to entertain farmers’ perception of bread wheat technologies for creating wider adoption.
Pemetaan Potensi Lahan Kelapa sebagai Bahan Baku Virgin Coconut Oil (VCO) di Pesisir Kabupaten Sambas, Kalimantan Barat, Indonesia
Authors: Kristiandi Kiki , Yunita Nurul Fatimah , Fertiasari Rini 
Published: October 2023

Kelapa merupakan salah satu tanaman yang memiliki banyak kegunaan pada tiap bagian tubuhnya. Olahan turunan yang dapat dikembangkan mencakup buah, batang, daun dan bagian lainnya. Sambas merupakan salah satu penghasil kelapa yg cukup besar di provinsi Kalimantan Barat. Sehingga tujuan dari penelitian ini adalah untuk menganalisis estimasi VCO yang dapat dihasilkan berdasarkan luas lahan yang ada. Untuk menghitung luasan ini memanfaatkan sistem informasi geografi menggunakan software Qgis 3.33. Dari hasil analisis ini diperoleh luasan lahan kelapa berjumlah terdapat 7 wilayah kecamatan. Untuk pembagian sebaran wilayah dan besaran yang ada di Kabupaten Sambas yaitu Tangaran (58 ha), Jawai (9.915 ha), Pemangkat (1.830 ha), Jawai Selatan (1.167 ha), Selakau (3.711 ha) dan Salatiga (7.008 ha). Dan estimasi VCO terbesar berada di Kecamatan Jawai dengan produksi yang dihasilkan dapat mencapai ± 9.915 sampai dengan ± 12.889,5 liter. Sedangkan untuk prduksi terkecil berada pada wilayah Tangaran dengan jumlah estimasi produksi VCO adalah ± 58 – ± 75,4 liter. Pemetaan potensi lahan kelapa ini merupakan kondisi terbaru yang dapat menggambarkan kondisi kelapa dibagian pesisir Kabupaten Sambas. Hasil dari data tersebut menjelaskan bahwa adanya potensi yang besar terhadap hasil produksi VCO di Kabupaten Sambas (± 69.405 buah kelapa/tahun (butir)) yang dapat berdampak terhadap peningkatan ekonomi dan dapat terpenuhi kebutuhan industri skala secara nasional