bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH TINDAK TUTUR DIREKTIF VLOGGER TERHADAP MINAT MENONTON (STUDI PADA YOUTUBE CRAZY NIKMIR REAL)
Authors: Purnama Ira , Putri Sekartaji 
Published: October 2023

Abstrak
Artis Nikita Mirzani mempunyai saluran YouTube Crazy Nikmir Real, yang didirikan pada 13 Mei 2019 dan saat ini mempunyai lima juta pengikut. Penelitian ini mencoba mengkaji apakah tindak tutur Nikita Mirzani berpengaruh terhadap keinginan masyarakat untuk menonton. Penelitian ini memakai teknik survei dengan memakai metodologi kuantitatif. Penelitian ini memakai Teori Social Judgement. Data diperoleh dari kuesioner dan diukur dengan menggunakan skala likert 1 sampai 5. Data dianalisis memakai uji regresi linear sederhana. Pendekatan sampling yang dipakai dalam penelitian ini yakni convenience sampling. Uji validitas yang dipakai yakni dengan metode Kaiser-Meyer-Olkin (KMO). Uji reliabilitas memakai Cronbach’s Alpha dan teknik pengolahan data memakai SPSS. Hasil dari studi ini yakni tindak tutur direktif mempengaruhi minat menonton masyarakat.
Kata Kunci : Tindak Tutur Direktif, Vlogger, Minat Menonton, Teori Social Judgement, YouTube

Abstract
Artist Nikita Mirzani has the YouTube channel Crazy Nikmir Real, which was founded on May 13, 2019 and currently has five million followers. This study tries to examine whether Nikita Mirzani's speech acts influence people's desire to watch. This study used a survey technique using a quantitative methodology. This research uses Social Judgment Theory. Data were obtained from questionnaires and measured using a Likert scale of 1 to 5. Data were analyzed using a simple linear regression test. The sampling approach used in this study is convenience sampling. The validity test used is the Kaiser-Meyer-Olkin (KMO) method. Reliability test using Cronbach's Alpha and data processing techniques using SPSS. The result of this study is that directive speech acts affect people's viewing interest.
Keywords: Directive Speech Acts, Vlogger, Viewing Interest, Social Judgment Theory, YouTube
Modern design trends in children's playgrounds (Tomsk)
Authors: Mitsaeva Kh. V. , Polyakov E. N. 
Published: October 2023

Intensive urbanization limits the available space for children, sphere of cognitive activity and contacts with the world. It is therefore necessary to create multifunctional outdoor playgrounds playing an important role in the physical and psychological development of children and adolescents as well as contribute to their social adaptation to the environment. Purpose: The study of modern approaches to and innovations in the design of children's playgrounds to create safe, diverse and appropriate play spaces. Methodology: The analysis of playground design trends, which includes the literature review and assessment of socio-cultural and environmental factors affecting the design and creation of modern playgrounds. Research findings: Key factors and methods are determined to create modern and safe playgrounds taking into account current needs and opinions of children, climatic conditions, and the importance of creating the natural and barrier-free environment for disabled children. Value: The paper studies the modern domestic and foreign experience in the design and construction of children's playgrounds, highlights the latest trends in their function and composition. The paper presents playgrounds for children (3–14 years), their improvement with respect to modern landscape elements and spatial structures.
Main design aspects of modern river boat stations (the Rostov-on-Don case studies) (Rostov-on-Don)
Authors: Zhukova E. S. , Molchanov V. M. 
Published: October 2023

The design relevance of the river boat station in the city of Rostov-on-Don is determined by the development of the left bank territories in the central part of the city, the need to solve transport problems (unloading of land routes), and recreational potential of the Don water area. Purpose: Identification of development principles of the architectural and planning model for the modern river transport facility in Rostov-on-Don. Research findings: Based on the world experience in design and construction of such facilities, the main design aspects are determined for river stations regarding their functional, planning, architectural, structural and regional factors. Value: The development of conceptual model of the modern river transport facility in Rostov-on-Don.
ТРАНСПАРЕНТНІСТЬ ФІНАНСОВОЇ ДІЯЛЬНОСТІ КОРПОРАТИВНИХ ПІДПРИЄМСТВ
Authors: Школьник Інна , Дзюба Вікторія 
Published: October 2023

Транспарентність фінансової діяльності корпоративних підприємств, є одним із чинників, який впливає на формування оптимальної структури капіталу. Статтю присвячено вивченню теоретичних аспектів забезпечення транспарентності діяльності корпоративних підприємств. Встановлено, що нормативні документи, розроблені НКЦПФР щодо принципів корпоративного управління підприємствами не узгоджені між собою за змістом, в т.ч. в частині транспарентності фінансової діяльності та побудові взаємовідносин з акціонерами та іншими стейкхолдерами. Обґрунтовано необхідність перегляду Принципів корпоративного управління, узгодження їх з Кодексом корпоративного управління, який відповідає Принципами корпоративного управління країн ОЄСР. Відзначено, що існуючі на сьогодні вимоги щодо транспарентності фінансової діяльності не сприяють покращенню рівня розкриття та прозорості діяльності корпоративних підприємств. Стаття підготовлена за результатами дослідження, що фінансується за рахунок бюджетних коштів МОН України «Цифровізація та транспарентність публічних, корпоративних та особистих фінансів: вплив на інноваційний розвиток та національну безпеку» (реєстраційний номер: 0122U000774).
Pleasure in Ancient Greek Philosophy. Key themes in ancient philosophy [book review]
Authors: O'Reilly Katharine 
Published: October 2023

<p>In <em>Pleasure in Ancient Greek Philosophy</em>, David Wolfsdorf explores the history of treatments of the concept of pleasure. The book is organized into two overarching but unequal parts, the first focusing on conceptions of pleasure in the ancient schools, the second examining the work done on these same questions in modern scholarship. Wolfsdorf’s text falls in line with work like that of Fred Feldman ( <em>Pleasure and the Good Life</em>, 1994) and Julia Annas ( <em>The Morality of Happiness</em>, 1995) in taking ancient contributions seriously both as a matter of historical interest, and as relevant to contemporary debate of the issues. This is a self-conscious methodology, which Wolfsdorf defends in his opening and concluding chapters, the latter of which argues for the philosophical relevance of the ancient discussions to current research. </p>
Exchange-Value and the Concealment of Theft and Violence
Authors: Mulaj Jeta 
Published: October 2023

<p>Exploring the phantom-like objectivity of exchange-value, this paper seeks to analyze the ways in which capitalist exchange relations conceal theft, violence, and exploitation. This paper begins with a critical analysis of Marx’s account of the phantom-like objectivity of exchange-value. Then, the paper elucidates the exchange between the worker and capital as an exchange of non-equivalents, while exploring the ways in which exchange-relations and the wage system conceal unpaid labour inside and outside the working day. Finally, drawing on the work of Silvia Federici and Massimo De Angelis, I argue that exchange-value and the wage system conceal violence and exploitation on at least three levels: unpaid surplus-labour, unpaid reproductive labour, and the permanence of primitive accumulation. </p>
Oral Potentially Malignant Disorders: A review on Bangladesh perspective
Authors: Shaikh Mushfiq Hassan , Iqbal Md Ashif , Sadat SM Anwar 
Published: October 2023

Oral potentially malignant disorders (OPMDs) are a group of chronic conditions affecting the oral mucosa with a risk of transformation to oral squamous cell carcinoma (OSCC). Oral leukoplakia, oral submucous fibrosis, oral lichen planus, and oral erythroplakia are the most common OPMDs observed in South Asian population. However, oral leukoplakia and oral lichen planus are commonly encountered OPMDs in clinical practice in Bangladesh, possibly, owing to specific lifestyle habits. Although the exact aetiology is unknown, use of smokeless tobacco, smoking, and chewing of betel quid containing areca nut, are considered as common risk factors for OPMDs. Early diagnosis is very important and can be lifesaving, as at a late stage, OPMDs are more likely to progress into severe dysplasia or even into squamous cell carcinoma. In fact, OPMDs have a significantly increased risk of progressing to cancer, mostly in South Asian population, including Bangladesh. This review provides an overview of the OPMDs in Bangladeshi population.
J Bangladesh Coll Phys Surg 2023; 41(4): 305-314
Comparing the Efficacy of Pamidronate and Thalidomide for the Treatment of Refractory Axial Spondyloarthritis: An Open Label Randomized Clinical Trial
Authors: Sultana Nadia , Mahbubul Alam A F M , Bandhan Iftekhar Hussain Bandhan , Hasaan Md Masudul , Rabbani Md Golam , Kabir Md Ekramul , Shahin Md Abu , Choudhury Minhaj Rahim , Atiqul Haq Syed , Zaman Mohammad Mostafa 
Published: October 2023

Introduction: Spondyloarthritis (SpA) is a chronic systemic inflammatory rheumatic disease affecting sacroiliac joints, spine and peripheral joints. Pamidronate and thalidomide are proven to be effective in refractory axial SpA in some studies. This study aimed at comparing the efficacy and safety of pamidronate and thalidomide in refractory axial spondyloarthritis (SpA).
Methods: This open label randomized clinical trial was conducted on refractory SpA patients at the department of rheumatology of Bangabandhu Sheikh Mujib Medical University, Dhaka. Pamidronate 60mg intravenous monthly and thalidomide 200mg/day were given to pamidronate and thalidomide groups, respectively for 6 months. Both groups received non-steroidal anti-inflammatory drugs and therapeutic exercises. More than 20% improvements in Assessment of Spondyloarthritis International Society (ASAS-20) at 6 months were considered as primary outcome measure. Secondary outcome measures included Bath ankylosing spondylitis disease activity index (BASDAI), Bath ankylosing spondylitis functional index (BASFI), Bath ankylosing spondylitis meteorological index (BASMI), patient global assessment, physician global assessment, erythrocyte sedimentation rate (ESR), C-reactive protein, ASAS 40 etc.
Results: Significant improvement in ASAS 20 was observed in both pamidronate (76.9%) and thalidomide (85.2%) groups (P=0.501). Among the secondary outcome ASAS 40 response rates were 46.2% and 51.9% in the pamidronate and thalidomide groups respectively. All other secondary outcome indicators such as BASDAI, BASFI, BASMI etc. within-group showed significant improvements in both groups (P<0.001). Between-group differences were nonsignificant (P>0.1) except for ESR (P=0.006). There were no serious adverse events in any group.
Conclusions: Pamidronate and thalidomide were effective in refractory axial SpA and were well tolerated. However, there was no significant difference in the efficacy of the two drugs.

J Bangladesh Coll Phys Surg 2023; 41(4): 269-276
Large scale uniform Ni-P plated carbon fiber for boosting urea electro-oxidation and electro-detection
Authors: Fan Yan-Ru , Li Jin-Qi , Yang Yu-Xi , Zhang Zhi-Hao , Zhang Jie , Yang Jing-He 
Published: October 2023

Seeking an excellent electrocatalyst is the trickiest issue for the application of urea electro-oxidation and electro-detection. Phosphorus-doped nickel plating on carbon fibers (Ni-P/CF) is synthesized by simple electroless plating. SEM results exhibit that the Ni-P densely and uniformly grows onto the surface of carbon fibers (CF), forming carbon fibers-like nanoarchitectures. Benefiting from the carbon fibers-like nano architectures with abundant exposed active sites on the surface of CF, electron transfer can be synchronously facilitated, and Ni-P/CF displays superior urea electrooxidation (UOR) performance with potentials of 1.40 V to reach 100 mA cm−2. Impressively, it can maintain at 20 mA cm−2 for 48 h without evident activity attenuation, demonstrating robust durability. Cycle stability shows that the voltage has only increased by 10 mV at 300 mA cm−2 from the 10th to 20000th cycles. Most importantly, Ni-P/CF at a length of 100 cm with good reproducibility was successfully synthesized, denoting great potential for large-scale industrial production. Therefore, this work not only affords cost-effective tactics for urea-rich wastewater degradation but also can achieve practical medical applications.
How technology shapes advice: professional–parent interaction in a digital pediatric treatment
Authors: Dalmaijer Evi , Pas Berber , Spooren Wilbert , Stommel Wyke 
Published: October 2023

IntroductionTechnology-enabled treatments (TET) have emerged in pediatric care as an effective solution for early and intensive intervention. There is a lack of research in the field of digitalized health care on the interaction between professionals and parents on which these treatments are based, and at the same time too little is known about the impact of remoteness and technology on interaction in the field of health communication.MethodWe use a conversation analytical approach to examine the interaction between occupational therapists and parents in one such treatment on a micro level, with a focus on advice-giving and the role of professional and parental authorities in this.ResultsOur analyses show that professionals in TET work together with the parents of children in treatment to achieve children's rehabilitation goals. In advice-giving in TET, the professionals interactionally downgrade their epistemic and deontic authority, orienting toward the imposition on parents inherent to advice and orienting toward parental authority.DiscussionBy describing three different patterns of the interactional unfolding of advice-giving, we provide insights into how professionals carefully initiate and return to advice and show how this activity is shaped by the technology used for the interaction. Our study offers a better understanding of how paramedical professionals practice their profession given remoteness and technology and what TET entails interactionally in terms of advice-giving.
Investigating binding energies and trapping cross-sections in an n-type Ge detector at low temperatures
Authors: Bhattarai Sanjay , Mei Dongming , Raut Mathbar Singh , Panth Rajendra , Kooi Kyler , Mei Hao , Wang Guojian 
Published: October 2023

We investigated charge transport in an n-type germanium detector at 5.2 K to explore new technology for enhancing low-mass dark matter detection sensitivity. Calculations of dipole and cluster dipole state binding energies and electric field-dependent trapping cross-sections are critical to developing low-threshold detectors. The detector operates in two methods: depleting at 77K before cooling, or directly cooling to 5.2 K and applying different bias voltages. Results indicated lower binding energy of charge states in the second method, at zero field and under an electric field, suggesting different charge states formed under different operating methods. Measured cluster dipole and dipole state binding energies at zero field were 7.88± 0.64 meV and 8.37± 0.75 meV, respectively, signifying high low-threshold potential for low-mass dark matter searches in the future.
Use of consumer wearables to monitor and predict pain in patients with sickle cell disease
Authors: Vuong Caroline , Utkarsh Kumar , Stojancic Rebecca , Subramaniam Arvind , Fernandez Olivia , Banerjee Tanvi , Abrams Daniel M. , Fijnvandraat Karin , Shah Nirmish 
Published: October 2023

BackgroundIn sickle cell disease (SCD), unpredictable episodes of acute severe pain, known as vaso-occlusive crises (VOC), disrupt school, work activities and family life and ultimately lead to multiple hospitalizations. The ability to predict VOCs would allow a timely and adequate intervention. The first step towards this ultimate goal is to use patient-friendly and accessible technology to collect relevant data that helps infer a patient's pain experience during VOC. This study aims to: (1) determine the feasibility of remotely monitoring with a consumer wearable during hospitalization for VOC and up to 30 days after discharge, and (2) evaluate the accuracy of pain prediction using machine learning models based on physiological parameters measured by a consumer wearable.MethodsPatients with SCD (≥18 years) who were admitted for a vaso-occlusive crisis were enrolled at a single academic center. Participants were instructed to report daily pain scores (0–10) in a mobile app (Nanbar) and to continuously wear an Apple Watch up to 30 days after discharge. Data included heart rate (in rest, average and variability) and step count. Demographics, SCD genotype, and details of hospitalization including pain scores reported to nurses, were extracted from electronic medical records. Physiological data from the wearable were associated with pain scores to fit 3 different machine learning classification models. The performance of the machine learning models was evaluated using: accuracy, F1, root-mean-square error and area under the receiver-operating curve.ResultsBetween April and June 2022, 19 patients (74% HbSS genotype) were included in this study and followed for a median time of 28 days [IQR 22–34], yielding a dataset of 2,395 pain data points. Ten participants were enrolled while hospitalized for VOC. The metrics of the best performing model, the random forest model, were micro-averaged accuracy of 92%, micro-averaged F1-score of 0.63, root-mean-square error of 1.1, and area under the receiving operating characteristic curve of 0.9.ConclusionOur random forest model accurately predicts high pain scores during admission for VOC and after discharge. The Apple Watch was a feasible method to collect physiologic data and provided accuracy in prediction of pain scores.
An ensemble learning approach for diabetes prediction using boosting techniques
Authors: Ganie Shahid Mohammad , Pramanik Pijush Kanti Dutta , Bashir Malik Majid , Mallik Saurav , Qin Hong 
Published: October 2023

Introduction: Diabetes is considered one of the leading healthcare concerns affecting millions worldwide. Taking appropriate action at the earliest stages of the disease depends on early diabetes prediction and identification. To support healthcare providers for better diagnosis and prognosis of diseases, machine learning has been explored in the healthcare industry in recent years.Methods: To predict diabetes, this research has conducted experiments on five boosting algorithms on the Pima diabetes dataset. The dataset was obtained from the University of California, Irvine (UCI) machine learning repository, which contains several important clinical features. Exploratory data analysis was used to identify the characteristics of the dataset. Moreover, upsampling, normalisation, feature selection, and hyperparameter tuning were employed for predictive analytics.Results: The results were analysed using various statistical/machine learning metrics and k-fold cross-validation techniques. Gradient boosting achieved the greatest accuracy rate of 92.85% among all the classifiers. Precision, recall, f1-score, and receiver operating characteristic (ROC) curves were used to further validate the model.Discussion: The suggested model outperformed the current studies in terms of prediction accuracy, demonstrating its applicability to other diseases with similar predicate indications.
Active tuberculosis patients have high systemic IgG levels and B-cell fingerprinting, characterized by a reduced capacity to produce IFN-γ or IL-10 as a response to M.tb antigens
Authors: Flores-Gonzalez Julio , Urbán-Solano Alexia , Ramón-Luing Lucero A. , Cancino-Diaz Juan Carlos , Contreras-Rodriguez Araceli , Curiel-Quesada Everardo , Hernández-Pando Rogelio , Chavez-Galan Leslie 
Published: October 2023

IntroductionTuberculosis (TB) is a bacterial infection caused by Mycobacterium tuberculosis (M.tb). B cells are the central mediator of the humoral response; they are responsible for producing antibodies in addition to mediating other functions. The role of the cellular response during the TB spectrum by B cells is still controversial.MethodsIn this study, we evaluated the distribution of the circulating B cell subsets in patients with active and latent TB (ATB and LTB, respectively) and how they respond to stimuli of protein or lipid from M.tb.ResultsHere, we show that ATB patients show an immune fingerprinting. However, patients with drug-sensitive- (DS-TB) or drug-resistant- (DR-TB) TB have altered frequencies of circulating B cells. DS-TB and DR-TB display a unique profile characterized by high systemic levels of IFN-γ, IL-10, IgG, IgG/IgM ratio, and total B cells. Moreover, B cells from DR-TB are less efficient in producing IL-10, and both DS-TB and DR-TB produce less IFN-γ in response to M.tb antigens.ConclusionThese results provide new insights into the population dynamics of the cellular immune response by B cells against M.tb and suggest a fingerprinting to characterize the B-cell response on DR-TB.
A comprehensive overview of psoriatic research over the past 20 years: machine learning-based bibliometric analysis
Authors: Yu Chenyang , Huang Yingzhao , Yan Wei , Jiang Xian 
Published: October 2023

BackgroundThe surge in the number of publications on psoriasis has posed significant challenges for researchers in effectively managing the vast amount of information. However, due to the lack of tools to process metadata, no comprehensive bibliometric analysis has been conducted.ObjectivesThis study is to evaluate the trends and current hotspots of psoriatic research from a macroscopic perspective through a bibliometric analysis assisted by machine learning based semantic analysis.MethodsPublications indexed under the Medical Subject Headings (MeSH) term “Psoriasis” from 2003 to 2022 were extracted from PubMed. The generative statistical algorithm latent Dirichlet allocation (LDA) was applied to identify specific topics and trends based on abstracts. The unsupervised Louvain algorithm was used to establish a network identifying relationships between topics.ResultsA total of 28,178 publications were identified. The publications were derived from 176 countries, with United States, China, and Italy being the top three countries. For the term “psoriasis”, 9,183 MeSH terms appeared 337,545 times. Among them, MeSH term “Severity of illness index”, “Treatment outcome”, “Dermatologic agents” occur most frequently. A total of 21,928 publications were included in LDA algorithm, which identified three main areas and 50 branched topics, with “Molecular pathogenesis”, “Clinical trials”, and “Skin inflammation” being the most increased topics. LDA networks identified “Skin inflammation” was tightly associated with “Molecular pathogenesis” and “Biological agents”. “Nail psoriasis” and “Epidemiological study” have presented as new research hotspots, and attention on topics of comorbidities, including “Cardiovascular comorbidities”, “Psoriatic arthritis”, “Obesity” and “Psychological disorders” have increased gradually.ConclusionsResearch on psoriasis is flourishing, with molecular pathogenesis, skin inflammation, and clinical trials being the current hotspots. The strong association between skin inflammation and biologic agents indicated the effective translation between basic research and clinical application in psoriasis. Besides, nail psoriasis, epidemiological study and comorbidities of psoriasis also draw increased attention.