bluuebunny/crossref_metadata_2025_split huggingface dataset:
ESTIMASI PARAMETER MODEL GRAVITY DENGAN METODE INFERENSI-BAYES DAN FUNGSI HAMBATAN EKSPONENSIAL NEGATIF (STUDI KASUS KABUPATEN SUKOHARJO)
Authors: Berliansa Sesilia Bintang 
Published: January 2022

<p>Tingginya intensitas kegiatan di suatu daerah akan menyebabkan terjadinya permasalahan transportasi. Oleh karena itu, perlu dilakukan perencanaan transportasi berupa matriks asal tujuan yang diperoleh dengan menggunakan Model <em>Gravity</em> dan parameter β sebagai fungsi hambatan. Adapun tujuan dari penelitian ini yaitu untuk mengetahui nilai parameter β, total pergerakan, dan tingkat validitas pemodelan. Estimasi MAT ini menggunakan Model <em>Gravity </em>serta batasan bangkitan dan tarikan yang dibantu oleh program EMME/3. Pengestimasian MAT ini membutuhkan parameter β yang diperoleh dengan Metode Kalibrasi Newton-Raphson melalui program Microsoft Excel. Pembebanan MAT ke jaringan jalan yang diperoleh melalui metode User Equilibrium akan menghasilkan arus lalu lintas. Pada penelitian ini, diperoleh nilai parameter β dari hasil perhitungan menggunakan program Microsoft Excel sebesar 0,0800. Estimasi MAT menghasilkan total estimasi pergerakan Kabupaten Sukoharjo tahun 2021 adalah 16.361 smp/jam dan memiliki nilai validitas ( ) sebesar 0,8150.</p>
Kajian Uji Kuat Lekat pada Beton dengan Kadar Fly Ash 15%, 30%, dan 40% dari Berat Binder
Authors: Fakhri Falih 
Published: January 2022

<p><strong>Abstrak</strong></p><p>Produksi semen yang sangat tinggi terjadi mengikuti permintaan semen yang semakin tinggi. Dengan terjadinya hal tersebut menimbulkan efek samping, yaitu membawa dampak buruk terhadap kondisi lingkungan global. Untuk mengurangi efek tersebut sudah banyak penelitian yang diadakan mengenai material pengganti semen seperti <em>fly ash </em>yang ditambahkan pada campuran beton. Tetapi masih sedikit penelitian yang mengkaji tentang besarnya kuat lekat pada beton dengan material pengganti semen <em>fly ash</em>. Metode penelitian yang digunakan dalam penelitian ini yaitu dengan menggunakan 3 variasi kadar <em>fly ash </em>pada beton <em>fly ash </em>atau <em>Fly Ash Concrete</em> (FAC) yaitu dengan kadar 15%, 30%, dan 40%, lalu dibandingkan dengan beton normal. Benda uji berbentuk silinder dengan diameter 15 cm dan tinggi 30 cm. Pengujian dilakukan dengan menggunakan alat <em>Universal Testing Machine </em>(UTM). Dari hasil penelitian yang sudah dilakukan, didapatkan nilai kuat lekat beton dengan kadar <em>fly ash </em>15% sebesar 0,812 Mpa, beton dengan kadar <em>fly ash </em>30% sebesar 0,985 Mpa, beton dengan kadar <em>fly ash</em> 40% sebesar 0,992 Mpa, sedangkan beton normal sebesar 0,234 Mpa, Hal ini menunjukkan kuat lekat beton meningkat seiring dengan bertambahnya kadar <em>fly ash. </em></p><strong>Kata kunci</strong> : <em>fly ash, Fly Ash Concrete </em>(FAC), kuat lekat
Chronic Popliteus Tendon Avulsion Fracture with Chronic Knee Pain and Locking
Authors: Blackwell Christopher , Selley Ryan , Taber Caroline E. , Benitez Carlos L. , Marx Robert G. 
Published: January 2022

Case:
A 31-year-old man who had a chronic popliteus avulsion fracture 18 years earlier treated with physical therapy presented with new onset left knee locking after exercising at the gym. Magnetic resonance imaging demonstrated a chronic popliteus avulsion fracture of the lateral femoral condyle. Surgical excision of the nonunited bone fragment was performed.

Conclusion:
Isolated popliteus avulsion fractures are extremely rare injuries that occur primarily in a skeletally immature patient population and for which treatment options are not well understood. Treatment options include conservative management and early surgical intervention, both of which have inherent risks and benefits. We recommend prompt imaging with computed tomography (CT) to better characterize the degree of injury and follow-up CT imaging in patients who do not undergo early surgical intervention.
Management of a Retained Rare Earth Magnetic Finger Mass Sustained from a Semiconductor Explosion Injury
Authors: Cavanaugh Priscilla K. , Inniss Susan A. , Wang Mark L. 
Published: January 2022

Case:
We present a case of a 51-year-old man with a retained supercharged rare earth magnetic finger mass sustained from an explosion injury at a semiconductor processing facility. The patient underwent excision of the rare metal mass, subsequently maintaining digital function without mass recurrence.

Conclusion:
Common to the semiconductor industry, neodymium is a rare earth metal and powerful magnet. Particulates are highly combustible, representing a potential explosive biohazard. To date, its toxicity and bioreactivity within the hand have not been thoroughly investigated. This is the first report of the successful surgical treatment of a retained rare earth neodymium magnetic hand mass.
The Relationship Between Emotional Intelligence and Teacher Performance (Study on SDI Sabilil Huda Sumorame-Temple Teacher)
Authors: Abidin Muhammad Zainal , Nisak Iswatun 
Published: January 2022

Kinerja guru adalah kesanggupan dan kecakapan para guru dalam menciptakan suasana komunikasi yang edukatif antara guru dan peserta didik yang mencakup suasana kognitif, afektif dan psikomotorik sebagai upaya mempelajari sessuatu berdasarkan perencanaan sampai dengan tahap evaluasi dan tindak lanjut agar mencapai tujuan pengajaran. Dalam penelitian ini bertujuan untuk mencari jawaban atas rumusan masalah “apakah ada hubungan antara kecerdasan emosional (X) dengan kinerja pada (Y) guru SDI Sabilil Huda Sumorame, Candi Kabupaten Sidoarjo?” Jumlah populasi dalam penelitian ini 25 orang guru dan dengan taraf kesalahan 1% diperoleh sampel 24 orang guru dengan menggunakan teknik simple random sampling.Data penelitian diambil dengan menggunakan skala Kecerdasan Emosional dan Skala Kinerja Guru. Metode analisis data yang digunakan adalah korelasi product moment dari Karl Pearrson. Hasil analisis data yang dilakukan menunjukkan adanya hubungan yang signifikan antara kecerdasan emosional dengan kinerja guru dengan koefisien korelasi 0,647. Nilai koefisien korelasi tersebut positif, yang artinya semakin tinggi kecerdasan emosional guru, maka semakin tinggi pula kinerja guru, dan sebaliknya semakin rendah kecerdasan emosional guru, maka semakin rendah pula kinerja guru.
How can clinicians choose between conflicting and discordant systematic reviews? A replication study of the Jadad algorithm
Authors: Lunny Carole , Thirugnanasampanthar Sai Surabi , Kanji Sal , Ferri Nicola , Pieper Dawid , Whitelaw Sera , Tasmin Sara , Nelson Harrison H. , Reid Emma K. , Zhang Jia He , Kalkat Banveer , Chi Yuan , Abdoulrezzak Reema , Zheng Di Wen , Pangka Lindy R.S. , Sooch Anmol , Kang Kevin T. , Wang Xin Ran , Safavi Parisa , Tricco Andrea C. 
Published: January 2022

Abstract
Introduction: The exponential growth of published systematic reviews (SRs) presents challenges for clinicians seeking to answer clinical questions. In 1997, an algorithm was created by Jadad et al. to choose the best SR across multiple. Our study aims to replicate author assessments using the Jadad algorithm to determine: (i) if we chose the same SR as the authors; and (ii) if we reach the same results.Methods and Analysis: We searched MEDLINE, Epistemonikos, and Cochrane Database of SRs. We included any study using the Jadad algorithm. We used consensus building strategies to operationalise the algorithm and to ensure a consistent approach to interpretation.Results: We identified 21 studies that used the Jadad algorithm to choose one or more SRs. In 62% (13/21) of cases, we were unable to replicate the Jadad assessment and ultimately chose a different SR than the authors. Overall, 18 out of the 21 (86%) independent Jadad assessments agreed in direction of the findings despite 13 having chosen a different SR. Conclusions: Our results suggest that the Jadad algorithm is not reproducible between users as there are no prescriptive instructions about how to operationalise the algorithm. In the absence of a validated algorithm, we recommend that healthcare providers, policy makers, patients and researchers address conflicts between review findings by choosing the SR(s) with meta-analysis of RCTs that most closely resemble their clinical, public health, or policy question, are the most recent, comprehensive (i.e. in terms of number of included RCTs), and at the lowest risk of bias.
Steering device-quality perovskites with unique substrate tolerance
Authors: Ren Ningyu , Wang Pengyang , Jiang Junke , Li Renjie , Han Wei , Liu Jingjing , Zhu Zhao , Chen Bingbing , Xu Qiaojing , Li Tiantian , Shi Biao , Huang Qian , Zhang Dekun , Apergi Sofia , Brocks Geert , Zhu Chenjun , Tao Shuxia , Zhao Ying , Zhang Xiaodan 
Published: January 2022

Abstract
Polycrystalline perovskite films fabricated on flexible and textured substrates often are highly defective, leading to poor performance of perovskite devices. Finding substrate-tolerant perovskite fabrication strategies is therefore paramount. Herein, we show that a small amount of Cadmium Acetate (CdAc2) in PbI2 precursor solution results in nano-hole array films and improves the diffusion of organic salts in PbI2, and promotes favorable crystal orientation and suppresses non-radiative recombination. Polycrystalline perovskite films on flexible substrate with ultra-long carrier lifetimes exceeding 6 μs are achieved. Eventually, a record PCE of 22.78% is obtained for single-junction flexible perovskite solar cells (FPSCs). Furthermore, we find this strategy is also demonstrated to be applicable for textured tandem solar cells. Our perovskite/silicon tandem solar cells (TSCs) with CdAc2 showed an efficiency of 29.25% (0.5003 cm2), with a certified value being 23.07% (11.8792 cm2), respectively, the highest value reported for solution-based TSCs. Un-encapsulated TSCs based on CdAc2 maintain 109.78% of their initial efficiency after operation at maximum power point under continuous one-sun illumination for 300 hours at 45 oC in N2 atmosphere. This strategy will provide facile access to high-efficiency perovskite-based solar cells.
Towards a Robotic Scientist for Synthesis of Nanocrystals
Authors: Zhao Haitao , Chen Wei , Sun Zhehao , Lai Fuming , Zhang Baicheng , Wang Zhuo , Huang Hao , Moses Oyawale Adetunji , Adam Mukhtar Lawan , Chen Zijian , Pang Cheng Heng , Wu Tao , Chu Paul K. , Lu Yang , Jiang Jun , YIN ZONGYOU , Yu Xue-Feng 
Published: January 2022

Abstract
Data-driven materials synthesis is heralded as a new paradigm to substitute for trial-and-error experiments and labor-intensive tasks by human scientists. Herein, a Robotic Scientist platform that can deliver unprecedented performance for rational design, controllable synthesis, and retrosynthesis of nanocrystals is described. By taking advantage of interdisciplinary fields including artificial intelligence, robotic automation, and big data, the Robotic Scientist platform is trained to synthesize Au nanocrystals. Existing knowledge and machine learning models are integrated into the rational design process. Controllable synthesis is achieved by synergistic coupling of robot-assisted synthesis on the macro-scale and nanocrystal growth on the nano-scale. By means of the Robotic Scientist platform, over 2,300 samples are synthesized in conjunction with in-situ characterization to accomplish the complete task of design-synthesis-retrosynthesis. The platform and methodology of Robotic Scientist pave the way for digital synthesis of nanocrystals and facilitate the paradigm shift to data-driven materials synthesis.
Supporting adjuvant endocrine therapy adherence in women with breast cancer: the development of a complex behavioural intervention using Intervention Mapping guided by the Multiphase Optimisation Strategy
Authors: Green Sophie M. C. , French David P. , Graham Christopher D. , Hall Louise H. , Rousseau Nikki , Foy Robbie , Clark Jane , Parbutt Catherine , Raine Erin , Gardner Benjamin , Velikova Galina , Moore Sally , Buxton Jacqueline , Smith Samuel G. 
Published: January 2022

Abstract
Background

Adjuvant endocrine therapy (AET) reduces the risk of breast cancer recurrence and mortality. However, up to three-quarters of women with breast cancer do not take AET as prescribed. Existing interventions to support adherence to AET have largely been unsuccessful, and have not focused on the most salient barriers to adherence. This paper describes the process of developing four theory-based intervention components to support adherence to AET. Our aim is to provide an exemplar of intervention development using Intervention Mapping (IM) with guidance from the Multiphase Optimisation Strategy (MOST).
Methods

Iterative development followed the six-stage IM framework with stakeholder involvement. Stage 1 involved a literature review of barriers to adherence and existing interventions, which informed the intervention objectives outlined in Stage 2. Stage 3 identified relevant theoretical considerations and practical strategies for supporting adherence. Stage 4 used information from Stages 1-3 to develop the intervention components. Stages 5 and 6 detailed implementation considerations and evaluation plans for the intervention package, respectively.
Results

The final intervention package comprised four individual intervention components: Short Message Service to encourage habitual behaviours surrounding medication taking; an information leaflet to target unhelpful beliefs about AET; remotely delivered Acceptance and Commitment Therapy-based guided self-help to reduce psychological distress; and a website to support self-management of AET side-effects. Considerations for implementation within the NHS, including cost, timing and mode of delivery were outlined, with explanation as to how using MOST can aid this. We detail our plans for the final stage of IM which involve feasibility testing. This involved planning an external exploratory pilot trial using a 24−1 fractional factorial design, and a process evaluation to assess acceptability and fidelity of intervention components and overall trial experience.
Conclusions

We have described a systematic and logical approach for developing a theoretically informed intervention package to support medication adherence in women with breast cancer using AET. Further research to optimise the intervention package, guided by MOST, has the potential to lead to more effective, efficient and scalable interventions.
The influence of microplastics on the toxic effects and biodegradation of bisphenol A in the microalgae Chlorella pyrenoidosa
Authors: He Dandan , Zeng Youmei , Zhou Guangming 
Published: January 2022

Abstract
Bisphenol A (BPA) and Polystyrene (PS) microplastics have attracted much attention due to they were widely distributed in the environment, while their combined toxicity to aquatic organisms has rarely been studied. Therefore, this study explored that the impact of microplastics on the toxic effects and biodegradation of BPA to the microalgae Chlorella pyrenoidosa (C. pyrenoidosa). The results indicated that the presence of PS increased the growth inhibition of BPA and also accelerated the degradation efficiency of BPA in the medium of C. pyrenoidosa. When PS and BPA coexisted, the chlorophyll content and the Fv/Fm value decreased with the increased PS concentration due to the hermetic effect and shading effect. Moreover, this study also found that five intermediates were formed during BPA degradation process because of the presence of oxidoreductase and glycosyltransferase. The results of the study provided vital information on the effect of PS on the toxicity and biodegradation of BPA to microalgal.
Isolated Long-Term Anticoagulation as an Alternative for the Management of Bioprosthetic Mitral Valve Thrombosis in a High-Risk Surgical Patient
Authors: Kassab Joseph , Azar Rabih 
Published: January 2022

Abstract
We herein describe a case and provide images of a bioprosthetic mitral valve thrombosis and a huge left atrial appendage thrombus occurring during atrial fibrillation 12 years after initial heart surgery. The patient was treated conservatively with oral anti-coagulation because he was a high surgical risk with complete resolution of the thrombosis after 2 months of therapy. This case suggests that in a high surgical risk patient, effective oral anticoagulation might be a good alternative to surgery.
The Efficacy and Safety of PD-1/PD-L1 Checkpoint Blockade Immunotherapy in Recurrence Glioblastoma: A Meta-Analysis
Authors: Tang Nan , Chen Chen , Gao Lianxuan , Hu Shushu , Chen Yulei , Zeng Yingying , Du Shasha 
Published: January 2022

Abstract
Purpose: The efficacy of PD-1/PD-L1 checkpoint blockade immunotherapy in recurrence glioblastoma remains unclear. The aim of this meta-analysis is to access the survival outcomes of immunotherapy in these patients.Methods: A comprehensive electronic literature search of PubMed, Web of Science, Embase and Cochrane Library was conducted up to August 22, 2021. The main evaluation data were the overall survival (OS) rate at 12 months and the progression-free survival (PFS) rate at 6 months. The secondary evaluation data was the incidence of serious adverse events(grade 3 or greater AEs). The study was performed using R“meta” package.Results: Seven studies met the inclusion criteria, which totally contained 343 participants. The 12-month OS in recurrent GBM were 40% (95% CI: 89.2% -95.1%), while the 6-month PFS 16.0% (95%CI 9%–23%). The overall incidence of adverse reactions is approximately 25% [0.13; 0.40], the toxicity of immunotherapy was acceptable.Conclusions: Compared with survival data for BEV (bevacizumab) /BPC(best physician's choice chemotherapy) treatment, immunotherapy seemed to improve overall survival and progression-free survival, Meanwhile, the toxicity of immunotherapy was tolerable. Further randomised controlled clinical studies are needed to confirm these findings. And also suggests that the earlier we apply anti-PD-1/PDL-1 immunotherapy to patients with relapsed glioblastoma, the greater the benefit may be.
Genetic Architecture of Fusarium Head Blight Disease Resistance and Associated Traits in Nordic Spring Wheat
Authors: nannuru vinay kumar reddy , Windju Susanne S. , Belova Tatiana , Dieseth Jon Arne , Alsheikh Muath , Dong Yanhong , McCartney Curt A. , Henriques Maria Antonia , Buerstmayr Hermann , Michel Sebastian , Meuwissen Theodorus H.E. , Lillemo Morten 
Published: January 2022

Abstract
Fusarium head blight (FHB) is a widely known devastating disease of wheat caused by Fusarium graminearum and other Fusarium species. FHB resistance is quantitative, highly complex and divided into several resistance types. Quantitative trait loci (QTL) that are effective against several of the resistance types give valuable contributions to resistance breeding. A spring wheat panel of 300 cultivars and breeding lines of Nordic and exotic origins was tested in artificially inoculated field trials and subjected to visual FHB assessment in the years 2013 to 2015, 2019 and 2020. Deoxynivalenol (DON) content was measured on harvested grain samples and anther extrusion (AE) was assessed in separate trials. Principal component analysis based on 35K and 25K SNP arrays revealed the existence of two subgroups, dividing the panel into European and exotic lines. We employed a genome-wide association study to detect QTL associated with FHB traits and identify marker-trait associations (MTAs) that consistently influenced FHB resistance. Several MTAs were found to be significant for the FHB resistance. Of importance, haplotype analysis revealed a highly significant and consisted QTL on 7A, Qfhb.nmbu.7A.2, which was further validated on an independent set of breeding lines. Breeder-friendly KASP markers were developed for this QTL that can be used in marker-assisted selection. The lines in the wheat panel harboured from zero to five resistance alleles, and allele stacking showed that resistance can be significantly increased by combining several of these resistance alleles. This information enhances breeders´ possibilities for genomic prediction and to breed cultivars with improved FHB resistance.
Interval-Valued Fermatean Hesitant Fuzzy Sets and Infectious Diseases Application
Authors: Kirişci Murat , Şimşek Necip 
Published: January 2022

Abstract
The Hesitant Fuzzy Set, which is a generalization of fuzzy sets, is an important tool in dealing with the difficulties that arise in determining the membership of an element to a set when there is doubt between several different values in decision-making problems. In this study, Fermatean hesitant fuzzy set is given to ensure to operate the conditions in which professionals evaluate an alternative in probable membership values and non-membership values. Aggregation operators of newly defined sets are defined to implement to multi-attributed group decision-making problems. The main properties of the new sets were examined. A new score function and accuracy function are given to compare two interval-valued numbers. Finally, a numeric example exactly demonstrates the feasibility, practicality, and effectiveness of the offered technique.
Impact Analysis of COVID-19 on Employment Trends
Authors: Jabbar Abdul , Shahzad Muhammad 
Published: January 2022

Abstract
Along with the spread of the COVID-19 virus, other crises have evinced in the form of employment trends around the globe. As it has affected the economies of the biggest countries, it has also affected the common person's daily life. There is a need to identify and understand the informational crisis and the sentiments of the general public towards the employment trends during the COVID-19. As the unemployment which can directly cost the mental health of the person, so it is really important to understand the relationship of the COVID-19 pandemic with the employment trends. As due to this virus, we have seen the social distancing and the self-isolation as well, so the work from home culture has also been seen in the employment trends during the specific period. In this research, we need to identify the sentiments of people on changing employment trends to analyze the impact of it on their daily life and mental health. As to how this pandemic has changed the trends from people losing jobs at a certain time when the it was at the peak to so many job opportunities after some months when it had the low density. In this research, we will be building a data set of COVID-19 tweets collected from twitter API and other dataset collected the dataset COVID-19 cases from WHO, furthermore we have calculated the employment related sentiments using VADER algorithm, also plot the COVID-19 cases timeline as well and did the trends analysis to see the sentiments of the users towards the employment trends during the COVID-19. Finally, after finding some major trends, these results are plotted on the visualizations graph using PowerBI tool.