bluuebunny/crossref_metadata_2025_split huggingface dataset:
TINDAK ILOKUSI SARKASME PADA REPRODUKSI TUTURAN PENGGUNA TIKTOK KELAS 4-6 SEKOLAH DASAR DI SURABAYA
Authors: Irfa Rafiatuz Zukhrufin  , Rafida Mumtaz  , Izzatin Nada Al Jannah  
Published: June 2023

Abstrak
Kebijakan untuk tetap di rumah saat pandemi Covid-19 mempengaruhi kenaikan intensitas penggunaan gawai pada masayarakat. Kenaikan ini membuka akses lebih luas terhadap berbagai platform dan media online. TikTok sebagai salah satu platform online yang popularitasnya sedang tinggi, menarik perhatian pada setiap lapisan usia, utamanya anak-anak. Popularitas dalam TikTok yang merebut minat anak-anak menjadi salah satu potensi pengembangan perilaku reproduksi tuturan anak, khususnya kelas 4-6 sekolah dasar yang sedang dalam gemar melakukan imitasi pada sisi kebahasaan yang mudah ditemui dalam TikTok. Dalam hal ini peran orang tua dan guru sebagai pihak terdekat anak menjadi penting untuk dipertimbangkan. Oleh karena itu, menjadi penting untuk mengetahui bagaimana persepektif orang tua dan guru dalam memandang fenomena TikTok terhadap anak sebagai upaya perlindungan. Penelitian ini berfokus pada bagaimana perspektif orang tua dan guru terhadap media sosial TikTok berpengaruh pada tindak ilokusi perilaku reproduksi tuturan anak kelas 4-6 sekolah dasar di Surabaya dengan menggunakan metode kualitatif deskriptif. Berdasarkan hasil penelitian, muncul temuan bahwa anak-anak melakukan imitasi dan reproduksi tren bahasa di TikTok di media sosial saja. Melalui data yang ditemukan, peneliti menyimpulkan bahwa anak-anak cenderung mengimitasi tuturan sarkas yang dilihat dari analisis tindak ilokusinya, serta perbedaan persepsi antara orang tua yang menganggap bahwa TikTok berdampak negatif karena hanya berjoget saja dan guru yang menganggapnya positif karena mengasah kreativitas.
Kata Kunci: Anak-anak, Guru, Imitasi, Orang tua, Sarkasme, TikTok, Tindak Ilokusi
MOST FREQUENT WORDS USED IN PRIDE AND PREJUDICE’S NOVEL AND MOVIE
Authors: Haryati Septi , Nafiah Homsatun 
Published: June 2023

Abstract
Altering a novel into a screenplay has been recorded as the interesting process in the field of literary works. There will be a number of adjustments that become consideration of the director particularly dialogues. This research aims to analyze the lexical differences used by Pride and Prejudice story in both novel and movie’s version. Also, the researchers strive to interpret the results based on the highlight of each text. The novel and movie script are converted into .txt format, and using AntConc device to sort the 50 highest words used by those sources. Then, the word list is categorized based on the part of speech by Mulyana (2013). The findings reveal that in the fifty word list, most of the lexical results include in the part of speech categories except Adjective and Exclamation. Thus, the first rank in the word list is positioned by the article (the) with the number of 918 times used in the movie and 4330 times used in the novel. The dominant issue can be portrayed through observing the noun and pronoun. They chiefly indicate the gender issue experienced by the main character of the story.
Application of PEEK Based Polymer in Prosthodontic Therapy of Patients With Parafunctional Mandibular Activity
Authors: Špadijer Gostović Aleksandra , Racić Aleksandar , Todorović Aleksandar , Radović Katarina , Čairović Aleksandra , Perić Mirjana , Vlatković Jakovljević Ivana 
Published: June 2023

The aim of this article was to evaluate properties of new polymer material, based on PEEK, for FPDs in patients with parafunctions.
Methods:
Prospective clinical study involved patients with diagnosed signs and symptoms of parafunctions, restored with 100 units, PEEK based FPDs, veneered with composite material. During one year observation period the following parameters were evaluated: color changes, periodontal indices, treatment success using FDI criteria, occlusal parameters, patient-reported outcome measures (OHIP-49) and occurrence of complications.
Results:
Spectrophotometry revealed that 63% of bridges experienced changes for L*, a*, b* color parameters, but it was not clinically significant for patients. Periodontal indices (PI, GI, BOP) revealed statistically significant higher values around restorations. According to FDI criteria, therapy was considered successful and 86.7% of FPDs were acceptable. Computerized occlusal analysis demonstrated no significant difference in the number of occlusal contacts and the intensity of relative forces between restoration and control side. Results of OHIP-49 questionnaire showed improved patient’s quality of life. Complications appeared in a limited number of cases.
Conclusion:
PEEK based FPDs could be indicated for successful prosthodontic rehabilitation in patients with parafunctional activities, but further material improvements and long-term clinical trials should be conducted to analyze performance of this material in challenging cases, for patients with CMD and in implant therapy.
Capacity Assessment Tool to Promote Capacity Building in Global Orthopaedic Surgical Outreach
Authors: Shapiro Lauren M. , Welch Jessica , Leversedge Chelsea , Katarincic Julie A. , Leversedge Fraser J. , Dyer George S.M. , Kozin Scott H. , Fox Paige M. , McCullough Meghan , Agins Bruce , Kamal Robin N. 
Published: June 2023

Background:
A growing number of nongovernmental organizations from high-income countries aim to provide surgical outreach for patients in low- and middle-income countries in a manner that builds capacity. There remains, however, a paucity of measurable steps to benchmark and evaluate capacity-building efforts. Based on a framework for capacity building, the present study aimed to develop a Capacity Assessment Tool for orthopaedic surgery (CAT-os) that could be utilized to evaluate and promote capacity building.

Methods:
To develop the CAT-os tool, we utilized methodological triangulation—an approach that incorporates multiple different types of data. We utilized (1) the results of a systematic review of capacity-building best practices in surgical outreach, (2) the HEALTHQUAL National Organizational Assessment Tool, and (3) 20 semistructured interviews to develop a draft of the CAT-os. We subsequently iteratively used a modified nominal group technique with a consortium of 8 globally experienced surgeons to build consensus, which was followed by validation through member-checking.

Results:
The CAT-os was developed and validated as a formal instrument with actionable steps in each of 7 domains of capacity building. Each domain includes items that are scaled for scoring. For example, in the domain of partnership, items range from no formalized plans for sustainable, bidirectional relationships (no capacity) to local surgeons and other health-care workers independently participating in annual meetings of surgical professional societies and independently creating partnership with third party organizations (optimal capacity).

Conclusions:
The CAT-os details steps to assess capacity of a local facility, guide capacity-improvement efforts during surgical outreach, and measure the impact of capacity-building efforts. Capacity building is a frequently cited and commendable approach to surgical outreach, and this tool provides objective measurement to aid in improving the capacity in low and middle-income countries through surgical outreach.
Succimer Mitigates the Perioperative Risk for an Increase in Blood Lead Levels During Bulletectomy
Authors: Kennedy Joseph M. , Routsolias Joanne C. , Mycyk Mark B. 
Published: June 2023

Case:
A 38-year-old man with a tibial plateau fracture required treatment for elevated blood lead level (BLL) from retained bullet fragments in the same knee from a gunshot wound 21 years earlier. Oral succimer presurgery and postsurgery decreased the BLL from 58 to 15 μg/dL.

Conclusion:
Parenteral chelation has been previously recommended to mitigate an increase in BLLs during surgical intervention to remove bullet fragments. Oral succimer was an effective and well-tolerated alternative to intravenous chelation. Further research is needed to determine the optimal route, timing, and duration of chelation in patients with elevated BLL in need of bulletectomy.
Acute Exertional Bilateral Thigh Compartment Syndrome in a Patient with Rhabdomyolysis After Spin Class
Authors: Aryee Jomar N. A. , Silver Jeremy M. , Grossman Jamie , Polonet David , Buckley Patrick S. 
Published: June 2023

Case:
A healthy 24-year-old woman developed rhabdomyolysis and acute bilateral thigh compartment syndrome after 10 minutes of spin class. She was successfully managed with early recognition, aggressive fluid resuscitation, and prompt bilateral surgical decompressive fasciotomy.

Conclusion:
Rhabdomyolysis with acute compartment syndrome is a rare but devastating combination of conditions. A high suspicion for rhabdomyolysis and progression to acute compartment syndrome is warranted for any patient presenting with increasing pain even with a limited history of trauma or exertion. Early recognition and medical and surgical treatment are paramount to preventing permanent damage.
Pricing of futures Bitcoin price under fractional
volatility
Authors: boughabi houssam , qalli yassine el 
Published: June 2023

Abstract
Volatility of Bitcoin has a long memory, we modeled such a character using FIGARCH processes, afteward we went on for pricing Futures and Options, the price of Futures depends on many factors in the market, we have proposed a model for futures contracts which links their price to spot price and volatility, after calibrating our model the result was consistent with market values, the pandemic of Covid which started earlier in 2020 after hitting the district of Wuhan just before; had not really an effect on derivatives markets until july 2021 when the market started a downward trend. We price Options using a sample of volatilities that we consider determinstic for a matter of calculous. We finally compare our model for Futures to the same model but with a constant volatility.
JEL Classification. G13
Assessing the Utility of Deep Neural Networks in Detecting Superficial Surgical Site Infections From Free Text Electronic Health Record Data
Authors: Bonde Alexander , Lorenzen Stephan , Brixen Gustav , Troelsen Anders , Sillesen Martin 
Published: June 2023

Abstract
Background High-quality outcomes data is crucial for continued surgical quality improvement. Outcomes are generally captured through structured administrative data or through manual curation of unstructured electronic health record (EHR) data. The aim of this study was to apply natural language processing (NLP) to chart notes in the EHR to accurately capture postoperative superficial surgical site infections (SSSIs).Methods Deep Learning (DL) NLP models were trained on data from 389,865 surgical cases across all 11 hospitals in the Capital Region of Denmark. Surgical cases in the training dataset were performed between January 01st, 2017, and October 30th, 2021. We trained two universal language models on unlabeled postoperative chart notes recorded within 30 days of a surgical procedure. The two language models were subsequently finetuned on labeled data for the classification of SSSIs. Validation and testing were performed on surgical cases performed during the month of November 2021. We propose two different use cases: a stand-alone machine learning (SAM) pipeline and a human-in-the-loop (HITL) pipeline. Performances of both pipelines were compared to administrative data and to manual curation.Findings The models were trained on 3,983,864 unlabeled chart notes and finetuned on 1,231,656 labeled notes. Models had a test area under the receiver operating characteristic curves (ROC AUC) of 0.989 on individual chart notes and 0.890 on an aggregated case level. The SAM pipeline had a sensitivity of 0.604, a specificity of 0.996, a positive predictive value (PPV) of 0.763, and a negative predictive value (NPV) of 0.991. Prior to human review, the HITL pipeline had a sensitivity of 0.854, a specificity of 0.987, a PPV of 0.603, and a NPV of 0.991.Interpretation We developed DL NLP models for the detection of SSSIs. The performance of the SAM pipeline was superior to administrative data, and significantly outperformed previously published results. The performance of the HITL pipeline approached that of manual curation.
The social network perspective on power system co-evolution: Responses to ‘Double Carbon Target’ realization in China
Authors: Gao Xiulin , Zhang Guoxing , Nie Yan , Xi Xi , Feng Yichen 
Published: June 2023

Abstract
The low-carbon and efficient development of power system is guided by the goal of carbon peaking and carbon neutralization (Double Carbon). Increasing the proportion of renewable energy in power system can effectively reduce the carbon emissions in power system. However, renewable energy presents an adaptive problem of how to regulate the overall power systems in a stable and safe state. Therefore, our work constructs an evolutionary topological network by analyzing the dynamic evolution rule of power systems, and then discusses the relationship between the power system agent’s role and the dynamic structure. We reveal the methods for power system co-evolution under the influence of both internal and external factor, aiming at the low carbon and stable developing requirement. We found that the key measures to solve the synergistic evolution of the power system are to increase energy storage, stabilize renewable energy supply, break the inter-provincial barriers in electricity transmission, and build a smart power system at multiple levels to achieve the ultimate goal of a smart, low-carbon, secure and interconnected future. Through the Link Analysis, we found that future power systems will maintain mild coordination between each agent rather than applying large scale de-alignment and reconfiguration. The controller while the roles of the residential user and researcher are becoming more flexible; nevertheless, the energy shortage agent, as a resource coordinator but with a negative contribution index, must be developed further to adapt to new power systems. We believe that obstacles can be overcome by promoting cohesion between the network and agents through more technological innovation and large-scale market diffusion to motivate co-evolution.
Automatic positioning of hydraulic anchor rod drilling rod spacing
Authors: cao ruihe , Zhao Xinyue , liu zixuan , Liu Qinghua , Qiao Hongbing 
Published: June 2023

Abstract
The future development trend of coal mining is unmanned, automated and intelligent, this paper proposes an automatic positioning method of the interrow distance between anchor rods with a high degree of automation. In this paper, a 3D model based on the parameters of the CMM2-36 hydraulic anchor drill truck for a coal mine and the structure of the drill arm as the basic model is established and simulated on the MATLAB platform. Taking the roof of the tunnel as an example, the "I" shaped forward route is designed with the shortest distance and the most reasonable track. Combined with the kinematic theory to build the D-H coordinate system, the forward and inverse kinematic solution of the drilling arm is carried out to verify the correctness of the kinematic model. The Monte Carlo method was used to analyze the theoretical maximum working space of the drilling arm of the hydraulic anchor drilling carriage to ensure work safety. The simulation results show that under the premise of satisfying the requirements of tunneling roadway support, the drill frame at the end of the hydraulic anchor drill truck arm can achieve automatic positioning of the row distance and autonomous path planning.
Levels of peripheral blood routine, biochemical and coagulation parameters in patients with hemorrhagic fever with renal syndrome and their relationship with prognosis: an observational cohort study
Authors: Chen Wen-jing , Du Hong , Hu Hai-feng , Lian Jian-qi , Jiang Hong , Li Jing , Chen Yan-ping , Zhang Ying , Wang Ping-zhong 
Published: June 2023

Abstract
Background
The pathophysiology of hemorrhagic fever with renal syndrome (HFRS) in humans is complex and the determinants associated with mortality, especially the coagulation and fibrinolysis disorders, are still not been fully elucidated. Severe patients usually manifest multiple complications except for acute kidney injury (AKI). The aim of this study was to observe the levels of peripheral blood routine, biochemical and coagulation parameters during the early stage, so as to find independent risk factors closely related to the prognosis, which may provide theoretical basis for targeted treatment and evaluation.
Methods
A total of 395 HFRS patients from December 2015 to December 2018 were retrospectively enrolled. According to prognosis, they were divided into a survival group (n = 368) and a death group (n = 27). The peripheral blood routine, biochemical and coagulation parameters were compared between the two groups on admission. The relationship between the parameters mentioned above and prognosis was analyzed, and the dynamic changes of the coagulation and fibrinolysis parameters during the first week after admission were further observed.
Results
In addition to AKI, liver injury was also common among the enrolled patients. Patients in the death group manifested higher levels of white blood cell counts (WBC) on admission. 27.30% (107/392) of the patients enrolled presented with disseminated intravascular coagulation (DIC) on admission and DIC is more common in the death group; The death patients manifested longer prothrombin time (PT) and activated partial thromboplastin time (APTT), higher D-dimer and fibrinogen degradation product (FDP), and lower levels of platelets (PLT) and fibrinogen (Fib) compared with those of the survival patients. the proportion of D-dimer and FDP abnormalities are higher than PT, APTT and Fib. Prolonged PT, low level of Fib and elevated total bilirubin (TBIL) on admission were considered as independent risk factors for prognosis (death).
Conclusions
Detection of PT, Fib and TBIL on admission is necessary, which might be benefit to early predicting prognosis. It is also important to pay attention to the dynamic coagulation disorders and hyperfibrinolysis during the early stage in the severe HFRS patients.
Brain Glutamate Dynamics Predict Positive Agency in Healthy Women
Authors: White Tara L. , Gonsalves Meghan A. , Harris Ashley D. , Walsh Edward G. , Joyce Hannah E. 
Published: June 2023

Abstract
Contributions of brain glutamate to conscious emotion are not well understood. Here we evaluate the relationship of experimentally-induced change in neocortical glutamate (△Glu) and subjective states in well individuals. Drug challenge with d-amphetamine (AMP; 20 mg oral), methamphetamine (MA; Desoxyn®, 20 mg oral), and placebo (PBO) was conducted on three separate test days in a within-subjects double blind design. Proton magnetic resonance spectroscopy (MRS) quantified neurometabolites in the right dorsal anterior cingulate cortex (dACC) 140-150 m post-drug and PBO. Subjective states were assessed at half hour intervals over 5.5-hours on each session, yielding 3,792 responses per participant (91,008 responses overall, N=24 participants). Self-reports were reduced by principal components analysis to a single factor score of AMP- and MA-induced Positive Agency (△PA) in each participant. We found drug-induced △Glu related positively with △PA (△GluMA r=+.44, p<.05, N=21), with large effects in females (△GluMA r=+.52, p<.05; △GluAMP r=+.61, p<.05, N=11). States related to △Glu in females included rise in subjective stimulation, vigor, friendliness, elation, positive mood, positive affect (r’s=+.51 to +.74, p<.05), and alleviation of anxiety (r=-.61, p<.05, N=11). Self-reports correlated with DGlu to the extent they loaded on △PA (r=.95 AMP, p=5x10-10; r=.63 MA, p=.0015, N=11), indicating coherence of △Glu effects. Timing data indicated Glu shaped emotion both concurrently and prospectively, with no relationship to pre-MRS emotion (△GluAMP r=+.59 to +.65, p’s<.05; △GluMA r=+.53, p<.05, N=11). Together these findings indicate substantive, mechanistic contributions of neocortical Glu to positive agentic states in healthy individuals, most readily observed in women.
Constructing an image vision transformer for recognizing hand gestures using surface electromyography signals
Authors: Moslhi Aly , Aly Hesham H. , ElMessiery Medhat 
Published: June 2023

Abstract
Purpose
Interest is growing in developing techniques and methodologies for acquiring and decoding biological signals. Different applications particularly in the area of prosthetic controlling and rehabilitation where an accurate recognition of the hand gesture using surface electromyography (sEMG) signals; are highly needed. sEMG signals are characterized by complex and high-variable information, accordingly extracting useful information from the sEMG signals requires advanced signal processing and data analysis techniques.
Methods
The present work uses the NinaPro Database 1, as it is an open-source database and used for benchmarking sEMG classifiers. Hand gesture recognition using sEMG signals is commonly approached using algorithms similar to those employed for image classification, which was the motive to build a Vision Transformer (ViT). Three different techniques have been studied in this work for extracting features from the sEMG signals prior classification, these techniques are: extracting the Fast Fourier Transform (FFT), extracting wavelets, and using a pre-trained convolutional neural network (CNN) for feature extraction.
Results
The findings revealed that the performance of the Vision Transformer (ViT) exceeded that of the majority of CNN architectures employed for classifying sEMG signals. The results also show improvements in the training accuracy when using the wavelet than using the other two feature extractors. The Vision Transformer demonstrated its capability to capture fine structures and integrate global information in imaged signals through plausible basis functions. Additionally, the attention mechanism employed by the Vision Transformer shed light on the significance of electrode readings, offering valuable insights for accurate classification.
Conclusion
While the majority of research in hand gesture prediction using sEMG signals primarily emphasizes convolutional neural networks, it is crucial to shift attention towards exploring the potential of transformer architecture. This study further highlights the importance of feature extraction and reveals the substantial impact it has on classification accuracy.
Alternative Ground Covers and Strip-Tilling in CBD Hemp Production
Authors: Osorio Erika , Fisher Benjamin , Foster Matt , Voigt Brian , von Wettberg Eric JB 
Published: June 2023

Abstract
Objective
Little research has been done on managing soil health for large-scale, outdoor hemp production, contributing to the possible overuse of black plastic for weed suppression. Our experiment aimed to understand the performance of alternative ground covers including forage crops and hay as well as a less disruptive tilling method called strip-tilling compared to black plastic.
Results
Yield and soil health data were taken from three experimental plantings from two different outdoor CBD hemp farms in Vermont, USA. We find that hay may be a competitive alternative to black plastic in terms of producing heavier plants. Our research also found that clover seed and hay are both more cost-effective options than black plastic which may sway some farmers to adopt these alternative ground cover options.