bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management of Ekakushta vis-à-vis Chronic Plaque Psoriasis with Guduchi Kwatha and Karanja Taila - A Clinical Study
Authors: Dhanwantari Saste  , Mytrhey R C  
Published: February 2023

The prevalence of skin diseases in general population has varied from 7.86% to 11.16% in various studies. All the skin diseases in Ayurveda have been discussed under the umbrella of “Kushta”. Kushta is further divided into Mahakushta and Kshudrakushta. Ekakushta is considered as one among the Kshudrakushta and it is Vata-Kapha Pradhana Vyadhi having Lakshana like Aswedana, Mahavastu and Matsya Shakalavat Twacha. Psoriasis is one of the most intriguing and perplexing disorder of skin. It is a papulosquamous disorder of the skin, characterised by sharply defined erythematous plaque lesions. It is notoriously chronic and is well known for its cause or remission and exacerbation. Even though it is considered as an autoimmune disorder affecting the skin, it cannot always be treated as a somatic lesion, it is in fact multifactorial in origin and conditioned by various constitutional and environmental factors. A survey conducted by the National Psoriasis Foundation reports that, almost 75% of patients believe that psoriasis had moderate to large negative impact on their quality of life (QOL) with alterations in their daily activities. Guduchi Kwatha along with Karanja Taila which is specifically mentioned in Kushta Chikitsa, taken as intervention after the Virechana Karma.
STABILITY INDICATING ANALYTICAL METHOD DEVELOPMENT AND VALIDATION FOR THE ESTIMATION OF RUXOLITINIB IN BULK AND PHARMACEUTICAL DOSAGE FORM USING UPLC
Authors: TABASSUM RAHEEN , RIZWAN S. H. 
Published: February 2023

Objective: To establish a simple and selective UPLC (Ultra-high Performance Liquid Chromatography) method for the determination of Ruxolitinib in tablet and bulk dosage forms.
Methods: Chromatographic separation was achieved on a C8 column with the dimensions of (250×4.6m ID) 5 µm length; the mobile phase composition was a mixture of pH 6.2 with glacial acetic acid: Methanol: acetonitrile in the ratio of 40:30:30 was passed through the designated column with a flow rate of 1 ml per minute and the UV (Ultra Violet) detection was witnessed at 254 nm.
Results: Linearity was observed in the range 50-150 µg/ml for Ruxolitinib (r² =0.9998) for drugs estimated by the proposed methods was in good agreement with the label claim. The % recovery of the drug was found to be between 98 and 102%. The drug was used for determining stability studies for acid, alkali, thermal, photolytic, and peroxide degradation.
Conclusion: The method for determining Ruxolitinib was discovered to be simple, precise, accurate, and high resolution, with a shorter retention time, making it more acceptable and cost-effective for routine analysis.
Paranormal Interest and Contemporariness of Magical Realism in Macbeth.
Authors: Mishra Dr. Nishtha 
Published: February 2023

Supernatural presence is something that has been widely acknowledged in Shakespeare’s Macbeth. There issupposedly an abundance of paranormal activity and eeriness in this play. In fact, it is not an over statement to say that paranormal events drive the action in this play. However, with increasing discoveries and broader horizons made available by scientific advancement in 21st century, the supernatural still stands relevant? If so, what has rendered it its contemporariness?
A study conducted by Shane Rogers and his team from Clarkson University in the United States observed similarities between paranormal experiences and the hallucinogenic effects of fungal spores (Dagnall Neil, The conversation). This might explain why both Macbeth and Banquo sighted the witches, having been exposed to the same weather conditions which were conducive to the growth of fungi, i.e, “thunder, lightning and rain”. And all the remaining sightings were the fragments of Macbeth’s disturbed mind. However, if the dramatist had intended to eliminate the paranormal interest, he had not designed three scenes, solely devoted to the agents of supernatural or evil, which were the witches.
Klasifikasi Gambar Catat Meter Menggunakan Convolutional Neural Network
Authors: Haryanti Tias Novika 
Published: February 2023

Listrik merupakan kebutuhan pokok manusia dalam menjalankan setiap kegiatan, yang pemakaiannya dapat diukur menggunakan KWH Meter. Di Indonesia pelanggan listrik dibagi menjadi dua yaitu Prabayar dan Pascabayar. Pelanggan listrik pascabayar memerlukan pencatatan angka yang tertulis pada KWH meter untuk mengetahui rupiah tagihan listrik yang harus dibayarkan. Dalam pelaksanaan pencatatan angka tersebut, tidak jarang ditemukan kendala seperti pagar rumah pelanggan yang terkunci sehingga petugas tidak berhasil memotret angka stan meter. Oleh karena itu PLN rutin melakukan validasi atas keseluruhan data pencatatan meter. Penelitian ini bertujuan untuk memvalidasi data catat meter yang berupa gambar dan diklasifikasikan kedalam tiga kelas menggunakan algoritma Convolutional Neural Network (CNN) dengan arsitektur Resnet34. Pada penelitian ini mendapat hasil tingkat akurasi tertinggi sebesar 97.50%. Kata Kunci: Listrik, KWH, Klasifikasi, CNN, Resnet34.
Implementasi Algoritma Support Vector Machine Untuk Analisis Sentimen Aplikasi OLX di Playstore
Authors: Salsabila Aqila , Sihombing Jeremia Jordan , Sitorus Rizky Irvandi 
Published: February 2023

Analisis sentiment adalah menganalisis opini, sentimen, evaluasi, penilaian, sikap, dan emosi orang-orang terhadap entitas seperti produk, layanan, organisasi, individu, masalah, peristiwa, topik, dan atributnya. Support Vector Machine (SVM) adalah salah satu algoritma klasifikasi yang bisa digunakan untuk sentimen analisis. Penelitian ini bertujuan mengklasifikasikan review OLX Google Play Store menggunakan analisis sentimen yang telah dikumpulkan dan disaring. Hasil dari penelitian ini sangat berguna bagi pemilik aplikasi untuk mengambil keputusan di masa depan. Penelitian ini menggunakan 2500 data ulasan aplikasi OLX dari Google Play Store. Pada tahap pertama penelitian ini menggunakan Case Folding, Filtering, Tokenizing, Slang Word, Stopwords, Stemming, kemudian melakukan Konversi kalimat lalu mentransformasi teks ke vector dengan TfidfVectorizer. Pada tahap kedua melakukan spilt data menjadi dua bagian dengan perbandingan 80% dan 20%, yaitu 80% bagian untuk data training dan 20% bagian untuk data testing. Pada tahap terakhir membangun model sehingga diperoleh akurasi sebesar 85%, precision negatif sebesar 86% dan positif sebesar 82% , serta recall negatif sebesar 91% serta postif sebesar 73% dan f1-score sebesar 85%. Dapat disimpulkan dari sentimen analisis aplikasi OLX berdasarakan ulasan di Playstore memuat lebih banyak ulasan negatif dibandingkan ulasan positif, hal ini dapat menjadi bahan evaluasi untuk kedepannya bagi pemilik aplikasi.
Efektivitas Aplikasi Topikal Madu Hutan Dan Propolis Terhadap Penyembuhan Luka Pada Mencit (Mus Musculus)
Authors: Jaharuddin Nur Fadhila 
Published: February 2023

Madu memiliki efek antimikroba, antiinflamasi, antioksidan, dan menstimulasi pertumbuhan jaringan. Propolis memiliki efek antimikroba, antiinflamasi, antioksidan, dan efek terhadap sel mast yang baik terhadap penyembuhan luka. Penelitian ini bertujuan untuk mengetahui efektivitas aplikasi topikal madu hutan dan propolis terhadap penyembuhan luka sayat pada kulit mencit (Mus musculus). Penelitian ini menggunakan 20 ekor mencit jantan yang diberi luka pada kulit punggung mencit dengan ukuran panjang 2 cm dan kedalaman 0,2 cm. Kemudian dibagi menjadi 4 kelompok yaitu tanpa perlakuan, pemberian madu hutan, propolis, dan povidone iodine. Penelitian ini diukur dengan melihat penurunan ukuran panjang luka hingga luka sembuh. Hasil penelitian menunjukkan rerata waktu penyembuhan luka kelompok perlakuan madu hutan ialah tercepat dalam penyembuhan luka yaitu 14,6 hari, kemudian propolis 16,2 hari, tanpa perlakuan 18,4 hari dan povidone iodine 18,8 hari. Pada uji ANOVA didapatkan nilai p > 0,05 (p=0,063) dan dilanjutkan dengan uji pengelompokkan yaitu uji Duncan. Hasil yang didapatkan ialah kelompok perlakuan madu dan propolis secara signifikan memiliki efek yang berbeda dibandingkan dengan kelompok tanpa perlakuan dan povidone iodine. Kesimpulan dari penelitian ini ialah madu dan propolis lebih efektif mempercepat penyembuhan luka dibandingkan dengan povidone iodine dan tanpa perlakuan
Analisis Perbandingan Efektivitas Proloterapi dan Steroid Terhadap Kepadatan Fibroblast pada Terapi Ruptur Parsial Tendon Achilles Tikus (Rattus norvegicus): Studi Histopatologi
Authors: Waluyo Yose 
Published: February 2023

AbstrakLatar Belakang: Terus meningkatnya prevalensi ruptur tendon dan belum adanya metode penanganan yang diunggulkan dalam menangani ruptur tendon achilles, sehingga pengembangan terapi alternatif banyak dikembangkan, salah satunya adalah proloterapi. Tujuan: mengetahui adakah perbedaan efektivitas proloterapi dan steroid terhadap kepadatan fibroblast pada terapi ruptur parsial tendon achilles tikus .Metodologi: Dua puluh tikus wistar dengan desain randomized post test only control group design, dibagi 4 kelompok, kelompok kontrol tanpa diberikan injeksi apapun, kelompok saline diberi injeksi saline, kelompok steroid diberi injeksi steroid, kelompok dekstrosa diberi injeksi dekstrosa. Terapi ini dilakukan pada tikus dengan memberikan injeksi sebanyak enam kali dengan interval pemberian tiap lima hari.Hasil penelitian: Nilai rerata kepadatan fibroblast paling rendah didapatkan pada kelompok steroid dengan nilai 1.00, sedangkan nilai rerata paling tinggi didapatkan pada kelompok dextrosa dengan nilai 2.00. Didapatkan adanya perbedaan yang bermakna antara injeksi steroid dibandingkan kontrol dan dextrose (nilai p masing-masing 0.014; 0.003)Kesimpulan: Injeksi dextrose intratendon lebih efektif dalam meningkatkan kepadatan fibroblast dibandingkan dengan injeksi steroid pada model ruptur tendon Achilles.
Tinjauan Yuridis Pelepasan Tanggung Jawab Pelaku Usaha Terhadap Konsumen Pada Perjanjian Parkir Di Kota Makassar
Authors: Mansyur Muhammad Abrari , Solaiman Eman 
Published: February 2023

Penelitian ini membahas terkait masalah pengeloloan paskir ataupun perlindungan bagi konsumen pengguna jasa parkir yaitu mengenai keamanan kendaraan yang dititipkan di tempat parkir tersebut. Seringnya terjadi kesalahan ataupun kehilangan kendaraan dan barang-barang di tempat parkir menyebabkan terjadinya perselisihan antara konsumen dengan petugas parkir. Dikarenakan begitu banyak petugas parkir yang tidak mau bertanggung jawab terhadap hilangannya barang atau kendaraan konsumen atau pengunjung. Bukan hanya petugas parkir, pengelola jasa parkir pun biasanya tak ingin mengambil resiko jika terjadi kehilangan suatu barang ataupun kendaraan. Adapun pengelola parkir biasanya selalu beralasan bahwa hal tersebut telah sesuai dengan kesepakatan yang terikat antara penanggungjawab dan konsumen yang telah tertera di karcis parker tersebut, yakni, “Pengelola parkir tidak bertanggungjawab terhadap kehilangan barang dan kendaraan”, dengan berbagai macam kalimat yang bermakna sama.
Analysis of the current situation and influencing factors of information technology education in middle school
Authors: Jia Xiaoqiang , He Xiaohu , Wang Jing 
Published: February 2023

Abstract
The development of science and technology is becoming more and more rapid, and the educational empowerment of information technology (IT) in middle schools is becoming more and more obvious. The interesting and operational aspects of IT are suitable for middle school students, who are gradually becoming more rational in their thinking and problem-solving skills, and who are curious to discovering new things. This paper analyses the factors influencing the acceptance of IT education among middle school students by reviewing a large amount of literature and compiling technology-related theories. The research variables are determined by combining the characteristics of middle school students, and a structural equation model is constructed to select the factors influencing the acceptance of technology in secondary school IT classrooms, and the hypothesis is proposed, tested and revised, and then the scientific and effective measures are proposed according to the model. By the statistical analysis of variables, it can be seen that the average values of perceived ease of use and social influence (SI) are relatively high, which are 3.9899 and 4.1933, respectively, indicating that SI and subjective initiative have significant positive correlations with the behavioural intentions of middle school students in learning IT. As technological literacy is low, with an average value of only 3.4966, the influence of the technological literacy of IT on middle school students’ learning ability is not significant. This reflects the degree of middle school students’ mastery of the knowledge of IT, which is not enough. Further, the initiative of learning in the network is low and the needs of teachers in IT classes indirectly affect students’ learning initiative. It is hoped middle school students learn IT through the network by their initiative and provide guidance for teachers in teaching, to promote the application and deep popularity of IT in secondary school education.
A two-stage U-net approach to brain tumor segmentation from multi-spectral MRI records
Authors: Győrfi Ágnes , Kovács Levente , Szilágyi László 
Published: February 2023

Abstract
The automated segmentation of brain tissues and lesions represents a widely investigated research topic. The Brain Tumor Segmentation Challenges (BraTS) organized yearly since 2012 provided standard training and testing data and a unified evaluation framework to the research community, which provoked an intensification in this research field. This paper proposes a solution to the brain tumor segmentation problem, which is built upon the U-net architecture that is very popular in medical imaging. The proposed procedure involves two identical, cascaded U-net networks with 3D convolution. The first stage produces an initial segmentation of a brain volume, while the second stage applies a post-processing based on the labels provided by the first stage. In the first U-net based classification, each pixel is characterized by the four observed features (T1, T2, T1c, and FLAIR), while the second identical U-net works with four features extracted from the volumetric neighborhood of the pixels, representing the ratio of pixels with positive initial labeling within the neighborhood. Statistical accuracy indexes are employed to evaluate the initial and final segmentation of each MRI record. Tests based on BraTS 2019 training data set led to average Dice scores over 87%. The postprocessing step can increase the average Dice scores by 0.5%, it improves more those volumes whose initial segmentation was less successful.
Rendering automatic bokeh recommendation engine for photos using deep learning algorithm
Authors: Kumar Rakesh , Gupta Meenu , Jaismeen  , Dhanta Shreya , Pathak Nishant Kumar , Vivek Yukti , Sharma Ayush , Deepak  , Ramola Gaurav , Velusamy Sudha 
Published: February 2023

AbstractAutomatic bokeh is one of the smartphone’s essential photography effects. This effect enhances the quality of the image where the subject background gets out of focus by providing a soft (i.e., diverse) background. Most smartphones have a single rear camera that is lacking to provide which effects need to be applied to which kind of images. To do the same, smartphones depend on different software to generate the bokeh effect on images. Blur, Color-point, Zoom, Spin, Big Bokeh, Color Picker, Low-key, High-Key, and Silhouette are the popular bokeh effects. With this wide range of bokeh types available, it is difficult for the user to choose a suitable effect for their images. Deep Learning (DL) models (i.e., MobileNetV2, InceptionV3, and VGG16) are used in this work to recommend high-quality bokeh effects for images. Four thousand five hundred images are collected from online resources such as Google images, Unsplash, and Kaggle to examine the model performance. 85% accuracy has been achieved for recommending different bokeh effects using the proposed model MobileNetV2, which exceeds many of the existing models.
Bounds on Nirmala energy of graphs
Authors: Yalçin N. Feyza 
Published: February 2023

Abstract
The Nirmala matrix of a graph and its energy have recently defined. In this paper, we establish some features of the Nirmala eigenvalues. Then we propose various bounds on the Nirmala spectral radius and energy. Moreover, we derive a bound on the Nirmala energy including graph energy and maximum vertex degree.
A feature selection strategy using Markov clustering, for the optimization of brain tumor segmentation from MRI data
Authors: Pisak-Lukáts Ioan-Marius , Kovács Levente , László Szilágyi 
Published: February 2023

Abstract
The automatic segmentation of medical images stands at the basis of modern medical diagnosis, therapy planning and follow-up studies after interventions. The accuracy of the segmentation is a key element in assisting the work of the physician, but the efficiency of the process is also relevant. This paper introduces a feature selection strategy that attempts to define reduced feature sets for ensemble learning methods employed in brain tumor segmentation based on MRI data such a way that the segmentation outcome hardly suffers any damage. Initially, the full set of observed and generated features are deployed in ensemble training and prediction on testing data, which provide us information on all couples of features from the full feature set. The extracted pairwise data is fed to a Markov clustering (MCL) algorithm, which uses a graph structure to characterize the relation between features. MCL produces connected subgraphs that are totally separated from each other. The largest such subgraph defines the group of features which are selected for evaluation. The proposed technique is evaluated using the high-grade and low-grade tumor records of the training dataset of the BraTS 2019 challenge, in an ensemble learning framework relying on binary decision trees. The proposed method can reduce the set of features to 30%ofits initial size without losing anything in terms of segmentation accuracy, significantly contributing to the efficiency of the segmentation process. A detailed comparison of the full set of 104 features and the reduced set of 41 features is provided, with special attention to highly discriminative and redundant features within the MRI data.
The Influence of Parental Autonomy Support on Creative Self-concept in the Context of Business Education
Authors: Puente-Díaz Rogelio , Cavazos-Arroyo Judith 
Published: February 2023

Abstract
The amount of attention given to creative beliefs has increased in recent years. We wanted to answer a call for more research on the antecedents of creative self-concept, assessing the influence of parental autonomy support in the context of business education. Participants were 272 college students from Mexico who completed a battery of questionnaires assessing parental autonomy support, creative self-concept, self-reported ideation, and a divergent thinking task. Results showed a positive relationship between business-specific parental autonomy support and creative self-concept. In addition, creative self-concept had positive relationships with self-reported creative ideation and creative potential in the form of an originality index. Our results suggested that parental support was important to help students have confidence and the motivation to value the process of generating novel and useful business ideas. The implications of the results were discussed.
Everyday Creativity in Pandemic: A Systematic Review
Authors: Elisondo Romina 
Published: February 2023

Abstract
The article presents a systematic review of scholarly papers referring to everyday creativity in times of COVID-19. We reviewed 30 papers published between May 2020 and June 2022. We searched in SCOPUS, Google Scholar, JSTOR and PsycINFO, using combinations of the following keywords: Creativity, Pandemic and COVID-19. We follow the PRISMA guidelines for conducting systematic reviews. We established four general inclusion criteria and selected quantitative, qualitative, or mixed-design empirical papers. Three experts evaluated whether the papers met the established criteria. We analyzed the selected research qualitatively through encodings and method of constant comparisons. We built four general categories whose purpose is to systematize the main results of the papers: Creativity and Health, Increase in Creative Actions, Motivations, and Creative Growth. The analyzed papers show relationships between creative actions, well-being, and coping. The data showed increases in creative actions in times of pandemic. Enjoyment, seeking contact with others, and coping appear as the main reasons for the development of creative actions. The results highlight the importance of creative adaptation in the construction of new personal and professional development projects.
The Generative Force of the Domain and the Field: Contributions of Highly Creative Women
Authors: Porto Marina , Romo Manuela 
Published: February 2023

Abstract
This study aims to explore the two less frequently researched pillars of the systems theory of creativity: domain and field, through a gender lens. Twenty-five award-winning women from different domains were interviewed. Their responses were examined using grounded theory. Results show four categories associated to domain: (1) access, including family incentive, interest in childhood, and late start; (2) relationship, reflected in high level of engagement, positive feelings, priority in life, and crisis; (3) gender barriers, encompassing family impact, financial limitations, discrimination, and being part of a minority; and (4) extra-domain, described in background and interests in other areas. Four additional categories were identified in relation to the field: (a) 10 years to gain recognition, (b) unclear criteria, (c) men hold the power, and (d) denial of gender barriers. The importance of fostering appealing domains that motivate women is discussed, along with the need for openness to interdisciplinarity and nonlinear careers. Masculinisation of the fields is problematised as an obstacle for the development and recognition of women. The personal discrimination denial paradox, in spite of accounts of the gender barriers experienced, is questioned.
Are Video Streaming Platforms Stifling Local Production Creativity? The Spanish Case
Authors: Medina Mercedes , Diego Patricia , Portilla Idoia 
Published: February 2023

Abstract
International streaming platforms have broken into the European market and are partnering with local production companies to produce content. Online consumption generates a huge database on the tastes and consumption patterns of viewers. Although the business of video streaming platforms is to attract subscribers, all this data could be used to produce content adapted to the different sensibilities of the audience. We want to investigate to what extent entry of the streaming companies has impacted the creativity of the production process in Spain and how creativity may be affected by this. We carried out semi-structured interviews with creative workers who produce for both linear television channels and video on demand platforms. The sample focuses on four workers from independent production companies with years of experience working for the television channels that have started working for new streaming companies. Their responses imply that big data does not appear to reduce uncertainty and is not applied to make decisions in the first stages of the production process. However, production of local shows has changed significantly.