bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENINGKATAN KEMAMPUAN PROMOSI MELALUI PELATIHAN DESAIN PROMOSI BERBASIS TEKNOLOGI QR-CODE
Authors: Muliyati Dewi , Siswoyo S 
Published: March 2021

Information and communication technology (ICT) contributes significantly to the optimization of the promotional design. QR-Code is one of the technologies that can improve promotional media to be more informative and interactive, especially visual media. The various information embedded in the QR-Code can provide varied impressions to the user. On many occasions, QR-Code can even direct to transactions. This advantage is packaged in a simple appearance because it is a one-dimensional to two-dimensional development of barcodes. These characteristics make QR-Code as a designing promotional media technology that every business actor must mastering. This paper describes the training conducted to improve promotional design skills that are integrated with QR-Code technology. The training is carried out in collaboration with Rumah Siap Kerja, through the video conference platform. The training results show an increase in knowledge and skills in integrating QR-Code technology into promotional media.
Teknologi informasi dan komunikasi (TIK) berkontribusi besar dalam optimasi desain promosi. QR-Code menjadi salah satu pilihan teknologi yang mampu meningkatkan media promosi menjadi lebih informatif dan interaktif, terutama media promosi jenis visual. Berbagai informasi yang ditanamkan dalam QR-Code dapat memberikan impresi yang bervariatif kepada pengguna. Dalam banyak kesempatan, QR-Code bahkan dapat mengarahkan terjadinya transaksi. Keunggulan ini dikemas dalam tampilan yang sederhana karena pada dasarnya merupakan pengembangan barcode satu dimensi ke dua dimensi. Karakteristik ini menjadikan QR-Code sebagai teknologi yang wajib dikuasai oleh setiap pelaku usaha dalam mendesain media promosi. Makalah ini memaparkan pelatihan yang dilakukan untuk meningkatkan kemampuan desain promosi yang terintegrasi dengan teknologi QR-Code. Pelatihan dilaksanakan atas kerjasama dengan Rumah Siap Kerja secara daring melalui platform video conferences. Hasil pelatihan menunjukkan peningkatan pengetahuan dan keterampilan dalam mengintegrasikan teknologi QR-Code ke dalam media promosi.
Effect of Postoperative Analgesic Exposure to the Cannabinoid Receptor Agonist WIN55 on Osteogenic Differentiation and Spinal Fusion in Rats
Authors: Yun Chawon , Haleem Meraaj S. , Jeong Soyeon , Oyer Mark A. , Driscoll Adam J. , Chang Kevin Y. , Yun Jonghwa , Paul Jonathan , Lubbe Ryan J. , Stock Stuart R. , Hsu Wellington K. , Hsu Erin L. 
Published: March 2021

Background:
After spinal surgery and other orthopaedic procedures, most patients receive opioids for pain, leading to potential complications such as pseudarthrosis and opioid abuse associated with long-term use. As an alternative, the endocannabinoid system has been shown to have antinociceptive activity, while contributing to bone homeostasis via the CB1 and CB2 cannabinoid receptors. This study evaluates the impact of the cannabinoid receptor agonist WIN55,212-2 (WIN55) on osteogenic differentiation in vitro as well as bone regeneration and spinal fusion in a preclinical rat model.

Methods:
Primary rat bone marrow stromal cells were cultured in standard or osteogenic media and exposed to vehicle alone or WIN55. Runx2 and Alkaline phosphatase (Alpl) were quantified via qPCR (quantitative real-time polymerase chain reaction), followed by assessment of ALP activity and matrix mineralization. For in vivo evaluation, 45 female Sprague Dawley rats (n = 15 per group) underwent L4-L5 posterolateral spinal fusion with bilateral placement of collagen scaffolds preloaded with low-dose rhBMP-2 (recombinant human bone morphogenetic protein-2; 0.5 μg/implant). Postoperatively, rats received the vehicle alone or 0.5 or 2.5 mg/kg WIN55 via daily intraperitoneal injections for 5 days. Bone regeneration and spinal fusion were assessed using radiography, manual palpation-based fusion scoring, microcomputed tomography imaging, and histology.

Results:
mRNA expression levels of Runx2 and Alp were similar among cells treated with vehicle alone and WIN55. Likewise, exposure to WIN55 did not inhibit ALP activity or bone matrix mineralization. In this animal model, no significant differences were found among groups with regard to mean fusion score, fusion rate, or new bone volume.

Conclusions:
WIN55 showed no adverse impact on osteogenic differentiation, bone regeneration, and spinal fusion. This supports that cannabinoid receptor agonists should be further investigated as a potential alternative approach for postoperative analgesia following spinal fusion and other orthopaedic procedures requiring bone-healing.

Clinical Relevance:
The identification of alternative treatments for postoperative pain following orthopaedic surgical procedures is crucial in combating the ongoing opioid abuse crisis. The endocannabinoid system may represent a viable alternative target for addressing orthopaedic postoperative pain.
Hydromechanical-Coupled Cohesive Interface Simulation of Complex Fracture Network Induced by Hydrofracturing with Low-Viscosity Supercritical CO2
Authors: Cai Xin , Liu Wei 
Published: March 2021

Abstract
Hydraulic fracturing experiments with low-viscosity fluids, such as supercritical CO2, demonstrate the formation of complex fracture networks spread throughout the rocks. To study the influence of viscosity of the fracturing fluids on hydraulic fracture propagation, a hydromechanical-coupled cohesive zone model is proposed for the simulation of mechanical response of rock grains boundary separation. This simulation methodology considers the synergistic effects of unsteady flow in fracture and rock grain deformation induced by hydraulic pressure. The simulation results indicate a tendency of complex fracture propagation with more branches as the viscosity of fracturing fluids decrease, which is in accord with experimental results. The low-viscosity fluid can flow into the microfractures with extremely small aperture and create more shear failed fracture. This study confirms the possibility of effective well stimulations by hydraulic fracturing with low-viscosity fluids.
An Accurate, Robust and Low Dimensionality Deep Learning Localization Approach in DM-MIMO Systems Based on RSS
Authors: Moosavi Seyedeh Samira , Fortier Paul 
Published: March 2021

Abstract
Currently, localization in distributed massive MIMO (DM-MIMO) systems based on the fingerprinting (FP) approach has attracted great interest. However, this method suffers from severe multipath and signal degradation such that its accuracy is deteriorated in complex propagation environments, which results in variable
received signal strength (RSS).
Therefore, providing robust and accurate localization is the goal of this work. In this paper, we propose an FP-based approach to improve the accuracy of localization by reducing the noise and the dimensions of the RSS data. In the proposed approach, the fingerprints rely solely on the RSS from the single-antenna MT collected at each of the receive antenna elements of the massive MIMO base station. After creating a radio map, principal component analysis (PCA) is performed to reduce the noise and redundancy. PCA reduces the data dimension which leads to the selection of the appropriate antennas and reduces complexity. A clustering algorithm based on K-means and affinity propagation clustering (APC) is employed to divide the whole area into several regions which improves positioning precision and reduces complexity and latency. Finally, in order to have high precise localization estimation, all similar data in each cluster are modeled using a well-designed deep neural network (DNN) regression.
Simulation results show that the proposed scheme improves positioning accuracy significantly. This approach has high coverage and improves average root-mean-squared error (RMSE) performance to a few meters, which is expected in 5G and beyond networks. Consequently, it also proves the superiority of the proposed method over the previous location estimation schemes.
Mitigating the effect of COVID lockdown period on Channel and Bandwidth Utilization in Mobile Communication Network in North Western Rajasthan (India)
Authors: PUROHIT HEMANT , Kaur Parneet , Choudhary Shilpa 
Published: March 2021

Abstract
The COVID – 19 lockdown has led all the citizens (mobile subscribers) of India to stay at home and rather work from home. The people have started consuming more channel utilization (in mobile communication) through a continuous long duration conversations and more internet data through more streaming content as well as logging on to work from home. It was also reflected in how data demand from residential areas rose as compared to commercial areas. Consequently the bandwidth and channel saturation has evolved out to be a severe problem thereby affecting the work performance of all online offices and multi-national companies. This research paper proposes the simulation based experimental study of DITMC technique for mitigating this effect with a special concern in North Western Rajasthan part of India. The simulation results show that significant enhancement of 60.52% in channel utilization and bandwidth optimization is possible with negligible overhead of 0.23%. This technique also enables the telecom operators to ponder research in this field that will promisingly lead to manage augmented number of mobile subscribers (independent of any lockdown period) in limited bandwidth thereby using the spectrum efficiently.
A Fresh Design of Power Effective Adapted Vedic Multiplier for Modern Digital Signal Processors
Authors: Gavaskar K , Malathi D , Ravivarma G , Devi V Krithika , Megala M , Begam S Megaraj 
Published: March 2021

Abstract
The Multiply Accumulate (MAC) unit constructed using antiquated Vedic mathematical practice and the efficiency of the vertical and transversely of Vedic approach for multiplication, which gives a distinction in genuine cycle of Multiplier itself. Vedic-Mathematics is depend on 16-Sutras, in that Urdhva-Triyakbhyam (UT) more productive one. It literally means vertical and cross wise operations. It eliminates unwanted multiplication and allows the parallel creation of partial products and addition steps. The adders are utilized to append the partial-product generated in the Vedic mathematics methodology to drops the combinational lag. MAC is an essential unit in the digital signal processors, to show the characters like speed, power as well as area. Hence, finer multiplier plans are to increase the order of the system. The Modified sum product algorithm based Vedic multiplier is one such promising solution. It has a rapid multiplication process and reaches a less calculation complexity above its traditional multiplier. Array multiplier, Baugh-Wooley multiplier, Wallace-tree multiplier and Vedic multiplier were created in the existing work. In proposed work Vedic multiplier, using modified sum product algorithm was designed. The structure design coded in verilog and parameter analysis was done in Xilinx. The parameters like delay as well as power were compare between existing and proposed. When comparing with different multiplier with our proposed work delay get reduced. Comparing with existing multiplier the proposed 4x4 Vedic multiplier have 49.12% reduction in delay. Comparing with existing multiplier the proposed Vedic 4x4 multiplier have 42.51% reduction in power.
Reflective and Transparent Cellulose-Based Passive Radiative Coolers
Authors: Gamage Sampath , Alam Md. Mehebub , Hallberg Tomas , Akerlind Chriatina , Sultana Ayesha , Berggren Magnus , Crispin Xavier , Kariis Hans , Zhao Dan , Jonsson Magnus 
Published: March 2021

Abstract
Radiative cooling passively removes heat from objects via emission of thermal radiation to cold space. Suitable radiative cooling materials absorb infrared light while they avoid solar heating by either reflecting or transmitting solar radiation, depending on the application. Here, we demonstrate a reflective radiative cooler and a transparent radiative cooler solely based on cellulose derivatives manufactured via electrospinning and casting, respectively. By modifying the microstructure of cellulose materials, we can control the solar light interaction from highly reflective (>90%, porous structure) to highly transparent (≈90%, homogenous structure). Both cellulose materials show strong thermal emissivity and minimal solar absorption, making them suitable for daytime radiative cooling. Used as coatings on silicon samples exposed to sun light at daytime, the reflective and transparent cellulose coolers could passively reduce sample temperatures by up to 32 °C and 15 °C, respectively.
Preparation of Cerium Oxide-MWCNTs Nanocomposite Bulk Modified Carbon Ceramic Electrode: A Sensitive Sensor for Tamoxifen Determination in Human Serum Samples
Authors: Shafaei Sepideh , Hosseinzadeh Elyas , Kanberoglu Gulsah Saydan , Khalilzadeh Balal , Mohammad-Rezaei Rahim 
Published: March 2021

Abstract
In this study, cerium oxide and multi-walled carbon nanotubes nanocomposite was incorporated into the carbon ceramic electrode (CeO2-MWCNTs/CCE) as a renewable electrode for the electrocatalytic purposes. To demonstrate capability of the fabricated electrode, determination of Tamoxifen as an important anticancer drug with differential pulse voltammetry technique was evaluated. Linear range, limit of detection and sensitivity of the developed sensor were found to be 0.2-40 nM, 0.132 nM and 1.478 µA nM-1 cm-2, respectively. Ease of production, low cost and high electron transfer rate of CeO2-MWCNTs/CCE promise it as a novel electro-analytical tool for determination of important species in real samples.
Fast Cluster-based Computation of Exact Betweenness Centrality in Large Graphs
Authors: Daniel Cecile , Furno Angelo , Goglia Lorenzo , Zimeo Eugenio 
Published: March 2021

Abstract
Nowadays a large amount of data is originated by complex systems, such as social networks, transportation systems, computer and service networks. These systems can be modeled by using graphs and studied by exploiting graph metrics, such as Betweenness Centrality (BC), a popular metric to analyze node centrality of graphs. In spite of its great potential, this metric requires long computation time, especially for large graphs.

In this paper, we present a very fast algorithm to compute BC of undirected graphs by exploiting clustering. The algorithm leverages structural properties of graphs to find classes of equivalent nodes: by selecting one representative node for each class, we are able to compute BC by significantly reducing the number of single-source shortest path explorations adopted by Brandes' algorithm. We formally prove the graph properties that we exploit to define the algorithm and present an implementation based on Scala for both sequential and parallel map-reduce executions.

The experimental evaluation of both versions, conducted with synthetic and real graphs, reveals that our solution largely outperforms Brandes' algorithm and significantly improves known heuristics.
A Comparative Analysis of Clinical Characteristics and Laboratory Findings of COVID-19 between Intensive Care Unit and Non-Intensive Care Unit Pediatric Patients: A Multicenter, Retrospective, Observational Study from Iranian Network for Research in Viral Diseases (INRVD)
Authors: Fahimzad Alireza , Sedighi Iraj , Pak Neda , Khalili Mitra , Farahmand Mohammad , Shokrollahi Mohammad Reza , Heydari Hosein , Movahedi Zahra , Dashti Anahita Sanaei , Cheraghali Fatemeh , Shamsizadeh Ahmad , Mirkarimi Mohammadreza , Alisamir Mohsen , Hashemian Houman , Soltani Jafar , Hosseininasab Ali , Hamedi Abdolkarim , Rezai Mohammad Sadegh , Sayyahfar Shirin , Kahbazi Manijeh , Abedini Aliakbar , Akhondzadeh Afsaneh , Sherkatolabbasieh Hamid Reza , Razlansari Ali Akbar , Alibeik Mina , Malayeri Soheil Omid , Shalchi Zohreh , Shahabinezhad Ali , Asl Parinaz Khalkhali , Monfared Fatemeh Nafe , Maleki Shiva , Kakavand Rezvan , Shahbaz Babak , Poortahmasebi Vahdat , Rezayat Sara Akhavan , Karimi Mohammad Reza , Jafarpour Ali , Soltani Saber , Ghaziasadi Azam , Dowran Razieh , Azimi Shohreh , Marvi Shima Sadeghipour , Abazari Foad , Zandi Milad , Yaghoobzadeh Delaram , Jazayeri Seyed Mohammad , Tavakoli Ahmad 
Published: March 2021

Abstract
Background: To date, less is known about the clinical features of COVID-19 pediatric patients admitting to ICUs. Herein, we aimed to describe the differences in demographic characteristics, laboratory findings, clinical presentations, and outcomes between COVID-19 pediatric patients admitting to ICU and non-ICU settings.Methods: This multicenter study involved 15 general and pediatrics hospitals on confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection by positive real-time reverse transcription polymerase chain reaction (RT-PCR) between March 19 and May 31, 2020, during the initial peak of the COVID-19 pandemic in Iran.Results: Overall, 166 patients were included, of which 61 (36.7%) required ICU admission, especially in <5 years old age group. Malignancy and heart diseases were the most frequent underlying condition. There was significant decrease in platelet counts, PH, HCO3 and base excess as well as increases in creatinine, creatine phosphokinase and potassium levels between ICU-admitted and non-ICU patients. Dyspnea was the major symptom for ICU group patients. Acute respiratory distress syndrome (ARDS), shock and acute cardiac injury were the most common features among ICU-admitted patients. The mortality rate was substantially higher in the ICU than in non-ICU patients (45.9% vs. 1.9%, respectively; P<0.001).Conclusions: Underlying diseases were the major contributing factors in COVID-19 pediatric patients for the increased ICU admissions and mortality rates. There are few paraclinical parameters for differentiating pediatrics in terms of prognosis and serious outcomes of COVID-19. Healthcare providers should consider children as a high-risk group, especially those with younger age and underlying medical conditions and define strategies to control and prevent COVID-19 transmission in this population.
Yak Dung Seed Bank on the Qinghai-Tibetan Plateau: Effects of Grazing Season, Seed Characteristics and Forage Preferences
Authors: Wang Shulin , Hou Fu-Jiang 
Published: March 2021

Abstract
AimsViable seeds in herbivore dung constitute the dung seed bank, and the contribution of livestock dung to this seed bank in grazing pastures is often overlooked. Grazing season (warm and cold), seed characteristics (mass and shape), and forage preference are the main factors that affect the size and composition of the dung seed bank and ultimately affect grassland ecology. However, how these three factors interact is unclear. Methodswe collected yak dung as well as seeds of the common plant species from warm- and cold-season alpine meadows in northeastern Qinghai-Tibetan Plateau, and explored how grazing season (warm and cold), seed characteristics (size and shape) and foraging preferences (temporary cages method) affects yak dung seedling density, richness and diversity in an alpine pasture on the northeastern Qinghai-Tibetan Plateau. ResultsForty-three plant species (mainly perennials) could germinate from yak dung. Dung seedling density, richness, and diversity did not differ significantly between the two grazing seasons. Small-to-medium-sized spherical seeds (seed mass < 10 mg, shape index < 0.5) had the greatest germination potential. ConclusionsYaks vary their forage preference depending on the season (phenological period), and endozoochory occurs throughout both grazing seasons. Seed shape and mass directly regulate the dung seedling density, richness, and diversity. Dung seedlings increase the heterogeneity of the aboveground vegetation near the microsites of the dung pieces and therefore promote grassland patching. Our study demonstrates that grazing season, seed characteristics, and yak forage preferences affect the dung seed bank in grazing ecosystems.
An Eye Tracking Based Virtual Reality System for Use Inside Magnetic Resonance Imaging Systems
Authors: Qian Kun , Arichi Tomoki , Price Anthony , Dall’Orso Sofia , Eden Jonathan , Noh Yohan , Rhode Kawal , Burdet Etienne , Neil Mark , Edwards A David , Hajnal Joseph V 
Published: March 2021

Abstract
Patients undergoing Magnetic Resonance Imaging (MRI) often experience anxiety and sometimes distress prior to and during scanning. Here a full MRI compatible virtual reality (VR) system is described and tested with the aim of creating a radically different experience. Potential benefits could accrue from the strong sense of immersion that can be created with VR, which could create sense experiences designed to avoid the perception of being enclosed and could also provide new modes of diversion and interaction that could make even lengthy MRI examinations much less challenging. Most current VR systems rely on head mounted displays combined with head motion tracking to achieve and maintain a visceral sense of a tangible virtual world, but this technology and approach encourages physical motion, which would be unacceptable and could be physically incompatible for MRI. The proposed VR system uses gaze tracking to control and interact with a virtual world. MRI compatible cameras are used to allow real time eye tracking and robust gaze tracking is achieved through an adaptive calibration strategy in which each successive VR interaction initiated by the subject updates the gaze estimation model. A dedicated VR framework has been developed including a rich virtual world and gaze-controlled game content. To aid in achieving immersive experiences physical sensations, including noise, vibration and proprioception associated with patient table movements, have been made congruent with the presented virtual scene. A live video link allows subject-carer interaction, projecting a supportive presence into the virtual world.
Willingness to use HIV pre-exposure prophylaxis and associated factors among men who have sex with men in Liuzhou, China
Authors: Fu Yuansheng , Ashuro Akililu Alemu , Feng Xianxiang , Wang Ting , Zhang Sichen , Ye Dongqing , Fan Yin Guang 
Published: March 2021

Abstract
Background: HIV pre-exposure prophylaxis (PrEP) is a key component of HIV combination prevention strategies, which has the potential to decrease the incidence of HIV in men who have sex with men (MSM). This study aimed to evaluate the levels of PrEP acceptability and explore the factors associated with willingness to use PrEP among MSM in Liuzhou, China.Methods: Between November 2017 and May 2019, a cross-sectional survey was conducted among 829 MSM. The study participant were recruited through nonprobability sampling method. Participants’ demographics, HIV/AIDS knowledge, sexual behaviors, drug use and HIV test history were collected. Multivariate logistic regression was performed to identify factors associated with willingness to use PrEP.Results: A total of 829 MSM completed the survey, and 30.28%(95%CI: 27.3-33.4) were willing to use PrEP. In multivariate logistic regression, factors associated with a higher willingness to use PrEP include, being Zhuang or Han ethnic origin, recruited through peer introduction or gay venues, pursing higher education level, previous HIV testing and having oral sex with a man. However, had a casual sex in the past six months were associated with lower willingness to use PrEP.Conclusions: MSM in Liuzhou reported a relatively low level of willingness to use PrEP. The results indicate the need for effective education, targeted intervention, and define implementation strategies to promote PrEP acceptance among MSM.