bluuebunny/crossref_metadata_2025_split huggingface dataset:
STRATEGI PEMASARAN VIRTUAL TOUR DI MASA PANDEMI
Authors: Hamid Abdul , Hizmi Surayyal , Supardi  
Published: December 2022

Tujuan penelitian: Covid-19 menyebabkan banyak destinasi wisata terpaksa harus ditutup sehingga masyarakat tidak dapat melakukan perjalanan wisata, hal ini mempengaruhi penghasilan bagi perushaan travel khusunya di Lombok. Melihat hal tersebut virtual tour menjadi solusi tour di masa pandemi, khususnya pada Lombok Hidden Trip.
Metode penelitian: pendekan yang digunakan adalah diskriptif kualitatif dengan menggunakan teknik pengumpulan data yaitu observasi, wawancara dan dokumentasi, yang kemudian hasilnya dianalisis dengan menggunakan anaslisi SWOT.
Hasil dan pembahasan: Beberapa strategi yang digunakan Lombok Hidden Trip dalam memasarkan virtual tournya yaitu dengan cara meningkatkan inovasi dalam produk dan mengembangkan strategi promosi kemudian merekrut team ahli dalam vidiographer sehingga mampu berkretifitas dan menghasilkan virtual tour yang menarik sehingga virtual tour dapat menjadi opsi tour bagi banyak orang.
Aplikasi: Penambahan media promosi pada media sosial dan membuat variasi promosi dengan menggunakan beberapa media menarik seperti video dapat menjadi solusi agar promosi paket wisata tidak monoton dan dapat menarik perhatian berbagai target pasar.
Powtoon Pengembangan Media Pembelajaran Video Animasi Dengan Powtoon Mata Pelajaran Laundry Di SMK 32 Jakarta
Authors: Dania Rahmawati Dania , Mulyati Mulyati 
Published: December 2022

Penelitian ini bertujuan mengetahui Pengembangan Media Pembelajaran Video Animasi Dengan Powtoon Mata Pelajaran Laundry di SMK 32 Jakarta. Pengumpulan data dengan diberikannya angket atau kuesioner kepada ahli media, ahli materi dan responden sebanyak 21 orang. Poin penilaian menggunakan Skala Likert 1-5. Pengembangan media pembelajaran video animasi dengan Powtoon menggunakan metode Research and Development (RnD) dengan model pengembangan Lee and Owens (2004) yaitu Analyze, Design, Development, Impelementation, and Evaluation. Hasil validasi oleh ahli materi mendapatkan nilai rata – rata sebesar 4,7 sedangkan hasil ahli media mendapatkan data sebesar 4,9, lalu hasil uji lapangan perorangan sebesar 4,7 dengan kategori Sangat Baik pada aspek kelayakan media dan aspek penyajian materi sebesar 4,8 dengan kategori sangat baik, sedangkan uji coba terbatas pada aspek media mendapatkan data sebesar 4,5 dengan kategori Sangat baik dan pada aspek penyajian materi mendapatkan data sebesar 4,8 dan terakhir uji lapangan sebanyak 15 orang menunjukkan sebesar 4,2 dengan kategori Sangat Baik.
Suboptimal Health Status Measurement Instruments: A Systematic Review Protocol
Authors: Asweto Collins Otieno , Hassan Sehar-un-Nisa , Alzain Mohamed Ali 
Published: December 2022

Abstract
Background: There is high burden of chronic diseases in Saudi Arabia. It is therefore paramount to identifying at-risk population to prevent the chronic disease and provide personalized primary healthcare. The at-risk population can easily be identify by conducting Suboptimal Health Status (SHS) assessment. Consequently, there is need to determine a suitable validated Suboptimal Health Status (SHS) tool for identifying these people in Saudi Arabia.
Objective: To systematically review valid measures of SHS, critique the utility and their attributes.
Methods: This review will adopt Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) and Centre for Reviews and Dissemination guide. A systematic search will be done in PubMed, CINAHL, SCOPUS, Web of Science CORE, and Consensus-based Standards to the selection of Health Measurement Instruments database. The search approach will follow the Peer Review of Electronic Search strategy recommendations. Studies specifically aiming to assess SHS within the context of well-being and illness will be involved. Data Extraction Form will standardize the information recorded and aid analyses. The Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) checklist will be applied to appraise the procedural rigor and results of the instruments.
Expected results: The projected outcome is identification of a reliable and valid SHS tool.
Registered in PROSPERO 2021 ID: CRD42021290565
Reovirus combined with a STING agonist enhances anti-tumor immunity in a mouse model of colorectal cancer
Authors: Kubota Eiji , Sugimura Naomi , Mori Yoshinori , Aoyama Mineyoshi , Tanaka Mamoru , Shimura Takaya , Tanida Satoshi , Johnston Randal , Kataoka Hiromi 
Published: December 2022

Abstract
Reovirus, a naturally occurring oncolytic virus, initiates the lysis of tumor cells while simultaneously releasing tumor antigens or proapoptotic cytokines in the tumor microenvironment to augment anticancer immunity. However, reovirus has developed a strategy to evade antiviral immunity via its inhibitory effect on interferon production, which negatively affects the induction of antitumor immune responses. The mammalian adaptor protein Stimulator of Interferon Genes (STING) was identified as a key regulator that orchestrates immune responses by sensing cytosolic DNA derived from pathogens or tumors, resulting in the production of type I interferon. Recent studies reported the role of STING in innate immune responses to RNA viruses leading to the restriction of RNA virus replication. In the current study, we found that reovirus had a reciprocal reaction with a STING agonist regarding type I interferon responses in vitro; however, we found that the combination of reovirus and STING agonist enhanced anti-tumor immunity by enhancing cytotoxic T cell trafficking into tumors, leading to significant tumor regression and survival benefit in a syngeneic colorectal cancer model. Our data indicate the combination of reovirus and a STING agonist to enhance inflammation in the tumor microenvironment might be a strategy to improve oncolytic reovirus immunotherapy.
Adaptive robust control of unmanned tracked vehicles for trajectory tracking based on constraint modeling and analysis
Authors: Wang Xiuye , Wang Yinlong , Sun Qinqin , Chen Yu , Al-Zahrani Ahmed 
Published: December 2022

Abstract
A novel trajectory tracking control problem based on constraint modeling and analysis is addressed by the way of constraint-following control for the unmanned tracked vehicle in this paper. The unmanned tracked vehicle system contains time-varying uncertainty which is possibly swift but bounded, and the bound is possibly unknown. First, the coupled dynamics model of unmanned tracked vehicle is established. By taking into account the kinematic characteristics, it makes the motion control of unmanned tracked vehicles more precise. Meanwhile, a 3D virtual prototype model is established for the unmanned tracked vehicle. Second, for the control objective of trajectory tracking, the related problem is converted into a constraint-following problem, and an adaptive robust control is therefore proposed based on this for the controlled unmanned tracked vehicle system to satisfy the trajectory tracking constraint. Finally, it is proved that the controlled unmanned tracked vehicle system can achieve accurate trajectory tracking with the proposed adaptive robust control, even under the interference of complex time-varying uncertainties. Modeling accurate dynamics and trajectory tracking constraints for unmanned tracked vehicles and designing an adaptive robust controller to realize accurate motion control for unmanned tracked vehicles even under strong external disturbances are the main contributions of this paper.
Cesarean section and the risk of allergic rhinitis in children: A systematic review and meta-analysis
Authors: Liu Zixin , Zhou Yaqian , Chen JunRong , Liu Xiaohua , Xie Li , Zhang Jialin , Su Honghui , Yang Yide , Tian Mei , Dong Yunpeng , Li Jian 
Published: December 2022

Abstract
Background
Multiple evidence indicates that perinatal factors make impact on immune development and affect offspring allergic rhinitis(AR) risk. In this systematic review and meta-analysis, we examined available published studies to clarify the relationship between cesarean section(C-section) and offspring AR in children.
Objective
To explore the relationship between C-section, especially the special attention was paid to different cesarean delivery method, and the risk of AR in children.
Methods
Articles were searched using PubMed, Web of Science, EMBASE, Cochrane Library, China knowledge Network, Wanfang, and China Science and Technology Journal databases. A meta-analysis of 22 studies published before August 1, 2022, which included 1,464,868 participants, was conducted for statistical analysis with RevMan5.4. The correlation strength between C-section and offspring AR was determined by combining odds ratio(OR) and 95% confidence interval(95%CI). Publication bias was detected using the funnel chart and Begg’s tests.
Results
Meta-analysis revealed that there was a significant correlation between C-section and children AR (OR = 1.19, 95% CI:1.12–1.27, P < 0.001), especially C-section with a family history of allergy (OR = 1.82, 95%CI:1.36–2.43, P < 0.001). Moreover, elective C-section (without genital tract microbe exposure) had the higher risk of offspring AR (OR = 1.24, 95%CI:1.05–1.46, P = 0.010) compared with the whole study.
Conclusions
Delivery by C-section, particularly elective C-section and C-section with a family history of allergy can increase the risk of AR in children.
Machine Learning for Annotating Sparsely Labeled Biocide and Metallotoxin Resistance Genes Using Natural Language Processing Techniques
Authors: Ananey-Obiri Daniel , Rhinehardt Kristen 
Published: December 2022

Abstract
Background
The importance of non-antibiotic drugs such as metallic and biocide antimicrobials in the progression of antibiotic resistance in bacteria cannot be oversimplified. Through co-selection, they have been implicated as agents for the promotion of antibiotic resistance in bacteria. Plethora of literature has explored antibiotic resistance, but the same cannot be said of non-antibiotic antimicrobials such as metals and biocide in spite of the important role they play in this phenomenon. It is also a common knowledge that most biological sequence data are either wrongly labeled or without labels. The manual annotation of these data by human are time consuming, expensive, and prone to errors. The recent upsurge in machine learning applications promises a viable solution. Traditional machine learning approaches rely on heavily labeled samples to build models for predictions. However, machine learning methods such as semi-supervised learning (SSL) models can overcome the shortfalls in data labeling when few labeled samples are available.
Results
Here, we developed different SSL methods to annotate and identify biocide and metallotoxin resistance genes. We represent protein sequences as vectors developed using Word2vec and Global vectors (GloVe) word vectors. We simulated real-world scenarios by varying the number of samples from 5 to 30% and measured their performance on the two datasets. Our findings show that SSL methods are viable solution in annotating sparsely labeled genomic sequence data. SSL with fewer available sequences outperformed some supervised learning models.
Conclusion
The findings from this study indicate that we can use machine learning models with fewer labeled samples (5%) to annotate biological sequences. Also, non-antibiotic resistance genes can be identified with machine learning models with high accuracies.
Factors Influencing the Effectiveness of Logistics Management Information Systems on Drugs Supply Chain Management in Sierra Leone
Authors: Kamara Lamin , Kalinga Ellen Ambakisye Chale 
Published: December 2022

Abstract
Background: Logistics Management Information System (LMIS) was introduced in Sierra Leone to improve drug supply management and provide accurate information that can be used for planning and resources allocation. The system managed drugs supplies, but this system is being influenced by factors to enhance effective drugs supply management.
Methodology: The study examined factors considered to influence LMIS effectiveness on drugs supplies management, using the conceptual framework model. Purposive and sequential exploratory means of data collection through self-administered questionnaires was employed.
Results: The study identified eleven factors and only four (Forecasting, Logistics, Information Quality and Production) have significant influence on LMIS effectiveness on drugs supply management.
Conclusion:The study showed four factors having positive and statistically significant effect on LMIS effectiveness on drugs supply management. Therefore, strengthening these factors would significantly improve LMIS effectiveness on drugs supply management in Sierra Leone.
A treatment planning system for manifold multi-ion particle therapy
Authors: Alabd Roumani , Bishop Adrian N. , Safavi-Naeini Mitra , Chacon Andrew , Franklin Daniel R. 
Published: December 2022

Abstract
This paper reports on the design of an open source treatment planning system for optimal multi-ion irradiation of a heterogeneous target with arbitrary spatial dose distributions. The developed TPS features controllable avoidance of dose in organs at risk and optional linear energy transfer enhancement in hypoxic target sub-volumes. The performance of the treatment planning system is evaluated under a variety of conditions in a heterogeneous target to demonstrate the dose uniformity and conformance benefits of treatment achievable with manifold multi-ion therapy versus single-ion or dual-ion therapy.
Creating an Inexpensive PVC Knee Model for the Training of Ultrasound-Guided Medial Intra-Articular Knee Injections
Authors: McDermott Ryland , Melanson Joshua , Davidson Skylar , Doyle Nora 
Published: December 2022

Abstract
Objectives
Ultrasound (US)-guided injections using corticosteroids or platelet-rich plasma into the knee joint are commonly used for conservative treatment of knee pathology. Practitioner skill acquisition can be challenging due to expensive simulation models and desire to limit practice on live patients. We sought to create an inexpensive, accurate educational prototype for intra-articular knee injections.
Methods
Two polyvinyl chloride (PVC) pipes were used for the skeletal infrastructure with a detergent pod placed in between the PVC pipes to replicate the joint space. Layers of undercooked bacon simulated the hyperechoic medial collateral ligament and hypoechoic subcutaneous tissue. The total model cost was $6.88.
Results
Our PVC model simulated anatomical landmarks and was validated through comparison to standardized educational US training videos. The model was successfully recreated 10 times. Furthermore, the PVC model was able to facilitate intra-articular knee injections by penetrating through the superficial structures of the model and injecting into the detergent pod. The model was used to facilitate injections under US guidance with 24 different medical student practitioners across 4 different educational sessions. We further validated our model with US experts.
Conclusions
Our knee model was successful in replicating medial, intra-articular knee injections under US guidance. It provided accurate injection practice as it simulated realistic bony landmarks and soft tissue. Because our model is inexpensive and easy to make, many more learners in the medical field can now safely and easily practice this procedure.
Correlation Between Maternal Subclinical hypothyroidism and Intelligence and Movement Skills of Offspring at 1 Years of Age
Authors: zhang xiaomei , yuan ning , sun jianbin , zhao dan , xu xiumei 
Published: December 2022

Abstract

Background:Maternal subclinical hypothyroidism (SCH) maybe impact development intelligence and movement skills of offspring. Therefore, the purpose of this study is to investigate the correlation between maternal SCH and offspring intelligence and movement skills on the 2017 American Thyroid Association diagnostic criteria. Methods: This was a two-way cohort study involving 185 women and their offspring within 1 year after delivery. There were 40 women and their offspring in the SCH group and 100 women and their offspring in the euthyroid (ET) group. The general condition and thyroid function of pregnant women and the condition of offspring at birth were recorded. At the age of 1 year, the offspring were scored with the Bailey infant development scale, including intelligence score and motor score.Results:There were no significant differences in maternal and child characteristics, birth weight and gestational age between SCH group and ET group. The mental development index (MDI) and psychomotor development index (PDI) levels in ET group were higher than that in SCH group [121(112,130)vs 114(108,128), P<0.05; 118(108,131)vs 113(101,127), P＜0.05.]. Multivariate logistic regression showed SCH during pregnancy was not associated with abnormal of intelligence and movement skills of offspring at 1 years of age (MDI OR, 0.112 95%CI, 0.012-1.359; PDI OR, 0.107 95%CI, 0.007-1.557).Conclusions:After levothyroxine treatment in the first trimester of pregnancy, there was no significant difference in the incidence of intellectual and motor developmental abnormalities of offspring at 1 years of age between the SCH group and ET group, however, the overall score of offspring in SCH group was still lower than that in ET group. Numerous studies are needed to further explore the correlation between SCH and offspring intelligence and movement skills.
Spatial and seasonal variation of Microplastics in the Avoimitro Ghat and Kalurghat of the Karnaphuli River, Chattogram
Authors: Shimul Shahida Arfine , Bakeya Zannatul , Rana Saifuddin , Ananna Jannatun Naeem , Nahid Sk. Ahmad Al 
Published: December 2022

Abstract

The study investigated the Microplastics (MPs) abundance in the two distinct locations (Avoimitroghat and Kalurghat) of the Karnaphuli River, Chattogram, Bangladesh. Eight samples were collected monthly throughout the study period, with three transects covering a total area of 500 m at each site. MPs were collected using a 200 μm mesh size manta net, separated through a density separator, enumerated, and characterized using a microscope. Avoimitro Ghat (94861 ± 97126) had a higher mean abundance of MPs (particles per Km2) than Kalurghat (31343 ± 33183). Statistically significant variation was observed (p < 0.05) in the mean abundance of MPs per km2 between the rainy (76134 ± 89641) and dry (63101 ± 79174) seasons. Fragment group MPs had the highest mean abundance (117430 ± 105028 MPs/Km2), whereas pellets had the lowest (8264± 8637). MPs with an elongated shape were dominant at both stations and during all seasons. Blue MPs had the highest mean item value in Avoimitro Ghat and during the dry season, while brown-colored MPs were highest in Kalurghat and during the rainy season. Among the five different size groups, 1–2 mm MPs were abundant in both seasons and Avoimitro Ghat, whereas 500 µm to < 1 mm MPs were abundant at the Kalurghat stations. This study identified and quantified microplastics at the chosen sites, which will be helpful for stakeholders in mitigating microplastic pollution in the Karnaphuli River.
Point of care Thoracic Ultrasound vs. Chest Computed Tomography in the approach of Febrile Neutropenia patients
Authors: Rendon-Ramirez Erick J. , Treviño-Garcia Karla Belen , Peña-Lozano Samantha P. , Treviño Mario Alonso , Mercado-Longoria Roberto , Nañez-Terreros Homero , Salinas-Chapa Matias , Gómez-Almaguer David , Cantú-Rodriguez Olga G. , Cedillo-Huerta Hector Enrique , Colunga-Pedraza Perla R. 
Published: December 2022

Abstract
Purpose: Our study aimed to evaluate the correlation between CT and Thoracic Ultrasound (TUS) in detecting pulmonary pathology in immunosuppressed patients.
Methods: A single center prospective study was conducted. Consecutive patients with febrile neutropenia who underwent CT underwent TUS evaluation within 24h after CT. Both studies were performed by an expert who was blinded to the clinical information and results of the alternative imaging modalities.
Results: 34 patients met the eligibility criteria. The median age was 39.9 years (±17 SD). TUS as a diagnostic test had a sensitivity of 92.9% and specificity of 83.3%, negative predictive value (NPV) of 71.4%, and positive predictive value of 96.3%. Good concordance was demonstrated with a kappa of 0.71 (p = 0.001) between the TUS and chest CT findings. We obtained a kappa of 1 (p = 0.001) for the final diagnosis of Pleural Effusion (PE).
Conclusion: TUS is a promising screening test for immunocompromised individuals. The results showed a good correlation between CT and TUS diagnoses for the detection of pulmonary findings and high sensitivity.
The relationship between body composition and the growth hormone/insulin-like growth factor-1 axis in children and adolescents with short stature
Authors: Hou Yue , Liu Fupeng , Yang Qing , Zhang Hongli , Ban Bo , Zhang Mei , Zhang Yanhong , Gao Ting , Zhou Xusheng , Li Yanying 
Published: December 2022

Abstract
This study aimed to investigate the relationship between body composition and the growth hormone (GH)/insulin-like growth factor-1 (IGF-1) axis in children and adolescents with short stature. All participants underwent a bioelectrical impedance analysis (BIA) and growth hormone stimulation tests, and their percentage of body fat (PBF), fat mass index (FMI), free fat mass index (FFMI), and skeletal muscle index (SMI) were calculated. The study included 310 individuals aged 10.19 ± 3.24 years, with height standard deviation score (SDS) of − 2.44 ± 0.56 and the mean peak of GH was 7.20 ± 5.11 ng/mL. Pearson analysis demonstrated that peak GH value negatively correlated with PBF and FMI. Contrastingly, IGF-1 SDS was positively correlated with FFMI and SMI. Multiple linear regression analysis showed that GH peak and IGF-1 SDS were independent predictors of PBF/FMI and FFMI/SMI, respectively. Serum GH and IGF-1 SDS were associated with body fat and lean body weight, respectively.
Band gap of Fayalite for 5% Laterite Soil and Iron Sand Analysis from Theoretical Calculation of Kubelka–Munk equation, Taylor expansion, and Self-Consistent Field Method
Authors: Heryanto Heryanto , Tahir Dahlang 
Published: December 2022

Abstract
In this study, the fayalite structure is extracted from nickel slag and band gap modification is achieved by added with laterite soil and iron sand. We propose a precise estimation of the band gap using the Kubelka-Munk equation, aided by the Taylor expansion simulation, and show results for generalized gradient approximation and ab-initio. We successfully demonstrated that the combination of Tauc’s plots, Tauc’s plots with Taylor expansion, and self-consistent field methods is the most accurate way to measure the energy between the valence and conduction bands (band gap). In addition, we found an excellent correlation between an increase in the crystallinity index and a decrease in the crystallite size in relation to a decrease in the band gap.