bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fabrication and Nanomechanical Characterization of Thermoplastic Biocomposites Based on Chemically Treated Lignocellulosic Biomass for Surface Engineering Applications
Authors: Sulaiman Muhammad , Iqbal Tanveer , Yasin Saima , Mahmood Hamayoun , Shakeel Ahmad 
Published: October 2021

Diverse applications of polymeric materials have prompted development of eco-friendly, efficient, and economical materials. These characteristics can be obtained by incorporating appropriate fillers in the polymeric matrix. The objective of this work is to investigate impact of aqueous glycerol (Gly) treated rice husk (RH) on surface mechanical properties of produced biocomposites. RH was treated with aqueous Gly (75 wt%) and compounded with low density polyethylene (LDPE) at different loadings (10, 20, and 30 wt%). The resulting mixture was thermally pressed in molds to fabricate biocomposites. Surface mechanical properties such as elastic modulus, hardness, creep rate, and plasticity of biocomposites reinforced with untreated and treated RH were investigated using nanoindenter. Experimental values depicted that hardness (H) and elastic modulus (Es) of treated biocomposites were higher than untreated ones. Treated biocomposites showed the noticeable improvement in elastic modulus by 24 and 37% compared to untreated biocomposites at 20 wt% loading and neat LDPE, respectively. Reductions in the creep rate by 20 and 14% were observed for untreated and treated biocomposites, respectively, in comparison to the neat LDPE. H/E ratio was increased by 23 and 18% for treated and untreated biocomposites, respectively, as compared to virgin LDPE. Furthermore, mechanical and structural properties of untreated and treated RH are reported based on nanoindentation response and Fourier transform infrared spectroscopy (FTIR) techniques The study indicated that aqueous glycerol pretreatment can partially strip off non-cellulosic constituents from lignocellulose matrix to generate cellulose-rich pulp for engineered composite applications.
The Spread of Plasmidic AmpC in a General Lebanese Hospital Over Nine Consecutive Years and the Relationship With Restricted Isolation Protocols
Authors: Fleifel Mohamad , Machmouchi Ahmad , Alameddine Omar , Hoyek Kim , Melki Dimitri , Hallab Elsa , Masri Khalil , Sidaoui Hiam R. , Stockman David , Daoud Ziad 
Published: October 2021

Background: The dreaded bacterial infection by extended-spectrum β-lactamases (ESBL)-producers has always troubled the medical field whether on the public, scientific, or clinical levels. One of the lesser known β-lactamases, which is capable of hydrolyzing broad and extended-spectrum cephalosporins—i.e., cephamycins plus oxyimino-β-lactams—are the AmpC β-lactamases. This group, which has also been termed occasionally—and incorrectly—as ESBL Class C, confers resistance to β-lactamase inhibitors. The prevalence of plasmidic AmpC (pAmpC) strains is possibly still a matter of debate considering the unevenly matched data between phenotypically-detected and molecularly-detected pAmpC.Aim: In the absence of any study in Lebanon addressing the AmpC, our intention was to determine the numbers and percentages of AmpC Enterobacteriaceae isolates, notably plasmid-mediated ones, across different wards at the Centre Hospitalier du Nord (CHN), Lebanon, and highlight the importance of infection control protocols.Materials and Methods: Carriage and infection with pAmpC Enterobacteriaceae were retrospectively investigated between 2011 and 2015 and prospectively between 2016 and 2019 at the Centre Hospitalier du Nord Hospital, North Lebanon. The rise or decline in the numbers of such strains, in concordance with the allegedly intensive isolation of the patients, were analyzed.Results: Intensive care unit (ICU) data shows an initial rise in infection isolates from 2012 to 2014 and in the carriage isolates from 2012 to 2013 with later notable overall decrease in the both isolates' numbers with the application of the isolation protocols at CHN from 2014 onwards. Floors 2, 3, and 4 seemed to house the bulk of the isolates as well.Conclusion: Preventive measures, such as on-going surveillance of the hospital wards by specialized healthcare personnel and strict implementation of infection control practices, should be a top priority in any medical center in order to isolate such strains and try to put a limit for the development and the dissemination of any possible multidrug resistant strains.
Deep Learning Radiomics to Predict Regional Lymph Node Staging for Hilar Cholangiocarcinoma
Authors: Wang Yubizhuo , Shao Jiayuan , Wang Pan , Chen Lintao , Ying Mingliang , Chai Siyuan , Ruan Shijian , Tian Wuwei , Cheng Yongna , Zhang Hongbin , Zhang Xiuming , Wang Xiangming , Ding Yong , Liang Wenjie , Wu Liming 
Published: October 2021

BackgroundOur aim was to establish a deep learning radiomics method to preoperatively evaluate regional lymph node (LN) staging for hilar cholangiocarcinoma (HC) patients. Methods and MaterialsOf the 179 enrolled HC patients, 90 were pathologically diagnosed with lymph node metastasis. Quantitative radiomic features and deep learning features were extracted. An LN metastasis status classifier was developed through integrating support vector machine, high-performance deep learning radiomics signature, and three clinical characteristics. An LN metastasis stratification classifier (N1 vs. N2) was also proposed with subgroup analysis.ResultsThe average areas under the receiver operating characteristic curve (AUCs) of the LN metastasis status classifier reached 0.866 in the training cohort and 0.870 in the external test cohorts. Meanwhile, the LN metastasis stratification classifier performed well in predicting the risk of LN metastasis, with an average AUC of 0.946.ConclusionsTwo classifiers derived from computed tomography images performed well in predicting LN staging in HC and will be reliable evaluation tools to improve decision-making.
Psychological Adaptive Mechanism Maturity, Age, and Depression Symptoms in Advanced-Stage Cancer Patients
Authors: Beresford Thomas , Teschke Patricia U. , Hipp Daniel , Ronan Patrick J. 
Published: October 2021

Background: Previously, we reported that the maturity of Psychological Adaptive Mechanism (PAM; alternatively, ego defense mechanism) endorsement, but not depression symptom severity, predicted 5-year survival rates in adult cancer patients and that study controlled for age as a significant variable. In this investigation, we hypothesized that greater PAM maturity would correlate significantly with age and with fewer depression symptoms in a larger sample.Methods: In this cross-section study, adult cancer outpatients (N=293) completed the Defense Style Questionnaire (DSQ), the Beck Depression Inventory (BDI), and provided additional clinical data. Spearman’s correlation and multiple regression modeling provided statistical tests of the study hypotheses.Results: Contrary to our hypothesis, DSQ PAM maturity endorsement did not correlate significantly with increasing age. Greater PAM maturity ratio on the DSQ (p&lt;0.0001) and current antidepressant use (p&lt;0.05), however, both provided inverse associations with total BDI symptom frequency (p&lt;0.01). Age was inversely associated with BDI mood (p&lt;0.0001) and somatic scores (p&lt;0.04). Items that worsened BDI symptom frequency included self-reported mood-altering anti-cancer medications and any psychiatric history. Cancer stage, time since diagnosis, and chemotherapy treatment did not correlate with DSQ or BDI scores. Multiple regression analysis found that the correlated items accounted for 17.2% of the variance in mood symptoms and 4.9% in somatic symptoms. Specifically, adaptive maturity and age associated with fewer depression symptoms, while cancer medications affecting mood, and a previous psychiatric history each predicted higher frequency of depression scores.Conclusion: The results suggest that PAM maturity likely predicts fewer depression symptoms while younger age associates with more depression symptoms in this clinical sample. Centrally, acting cancer medications, such as glucocorticoids, and any history of psychiatric disorder correlated with increased depression symptom frequencies. In this cross-section study, antidepressant medications indicated higher frequencies of depressive symptoms, likely reflecting their use in persons previously diagnosed with depression. Further research should target factors that improve PAM maturity as a potential treatment target, especially in younger age groups.
Impact of Advertising Campaigns Among Online Gamblers: The Role Perceptions of Social Support and Personality Traits
Authors: Tessier Samantha , Romo Lucia , Zerhouni Oulmann 
Published: October 2021

Background: Few studies on problematic gamblers have focused on how environment and personality interact in gambling behavior. The aim of this research is to investigate how social support, dimensions of personality, and advertising campaigns are associated with gambling among problematic or moderate-risk gamblers and recreational gamblers and associated with online gambling (i.e., sport and poker).Methods: One hundred nine participants (45% problematic or moderate-risk gamblers) answered an online survey including social support, five factor models of personality, typology of gamblers, and several sociodemographic variables.Results: We found that problematic and moderate-risk gamblers were significantly more sensitive to gambling advertisements compared to light players. Social support was significantly lower among online gamblers compared to offline gamblers, but no association was found between social support and type of gamblers. Problematic and moderate-risk gamblers presented lower levels of extraversion compared with recreational gamblers. Notably, when the onset of gambling is before 18 years old, participants had more chances to recall more gambling advertisements as adults.Conclusion: We propose that future longitudinal research should focus on characteristics of online gamers particularly regarding social support to understand this low level of adequacy compared to offline gamblers.
Three-Dimensional Cobalt Hydroxide Hollow Cube/Vertical Nanosheets with High Desalination Capacity and Long-Term Performance Stability in Capacitive Deionization
Authors: Xiong Yuecheng , Yu Fei , Arnold Stefanie , Wang Lei , Presser Volker , Ren Yifan , Ma Jie 
Published: October 2021

Faradaic electrode materials have significantly improved the performance of membrane capacitive deionization, which offers an opportunity to produce freshwater from seawater or brackish water in an energy-efficient way. However, Faradaic materials hold the drawbacks of slow desalination rate due to the intrinsic low ion diffusion kinetics and inferior stability arising from the volume expansion during ion intercalation, impeding the engineering application of capacitive deionization. Herein, a pseudocapacitive material with hollow architecture was prepared
via
template-etching method, namely, cuboid cobalt hydroxide, with fast desalination rate (3.3 mg (NaCl)·g
-1
(h-Co(OH)
2
)·min
-1
at 100 mA·g
-1
) and outstanding stability (90% capacity retention after 100 cycles). The hollow structure enables swift ion transport inside the material and keeps the electrode intact by alleviating the stress induced from volume expansion during the ion capture process, which is corroborated well by in situ electrochemical dilatometry and finite element simulation. Additionally, benefiting from the elimination of unreacted bulk material and vertical cobalt hydroxide nanosheets on the exterior surface, the synthesized material provides a high desalination capacity (

117
±
6

mg (NaCl)·g
-1
(h-Co(OH)
2
) at 30 mA·g
-1
). This work provides a new strategy, constructing microscale hollow faradic configuration, to further boost the desalination performance of Faradaic materials.
Growth differentiation factor 15 as an integral marker of the clinical and functional status of patients with non-valvular atrial fibrillation
Authors: Gizatulina T. P. , Martyanova L. U. , Petelina T. I. , Zueva E. V. , Shirokov N. E. 
Published: October 2021

Aim. To study the relationship between growth differentiation factor 15 (GDF-15) level in blood serum and patient clinical and functional status parameters, and to determine predictors of GDF-15 level in pts with non-valvular atrial fibrillation (AF).Material and methods. Eighty-seven pts (with the mean age of 56.9±9.2 years) with non-valvular AF were studied. A general clinical examination, as well as echocardiography and laboratory tests were performed. These included fasting serum glucose (mmol/l), highly sensitive C-reactive protein (h/s CRP) (mg/l), creatinine level (μmol/l) and subsequent calculation of glomerular filtration rate (ml/min/1.73m2), and N-terminal pro-B-type natriuretic peptide (NT-proBNP) (pg/ml). The level of GDF-15 (pg/ml) in blood serum was determined using an enzyme immunoassay with a human ELISA analytical kit.Results. An increase in GDF-15 level was associated with age, ischemic heart disease, severity of hypertension, and heart failure, resulting in a higher risk of stroke, according to the CHA2DS2 -VASc score, carbohydrate metabolism disorders and obesity, increased h/s CRP and NT-proBNP levels, enlargement of the right and left atria, signs of diastolic left ventricular dysfunction and structural remodeling in the form of eccentric hypertrophy. Multiple linear regression analysis revealed 2 independent predictors of GDF-15 levels: age and fasting glucose.Conclusion. GDF-15 is an integral biomarker of age-related metabolic disorders and structural and functional changes in the heart, which opens up prospects for further study of its prognostic significance in pts with non-valvular AF.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI ADMINISTRASI SMKN NGAWEN GUNUNG KIDUL
Authors: Indar Tri Nurmasari Yuli Astuti, Fajeri Listyorini, 
Published: October 2021

Sistem pengolahan administrasi di SMKN Ngawen masih dikerjakan manual sehingga menyebabkan beberapa masalah seperti penumpukan kertas, keterbatasan berbagi data dan kurangnya integritas data serta dibutuhkan waktu yang relatif lebih lama untuk mengakses data. Pelayanan yang diberikan kepada orang tua siswa juga kurang maksimal karena dimungkinkan ketidakakuratan data dan informasi yang kurang tepat, hal ini disebabkan karena sulitnya membuat laporan berdasarkan periode yang diinginkan.Sebelum membuat sistem informasi, terlebih dahulu perlu dilakukan analisis permasalahan yang terjadi di SMK Negeri Ngawen Gunung Kidul dengan cara studi lapangan dan studi literatur. Hal ini dilakukan agar solusi yang ditawarkan tepat sasaran dan tepat guna. Hasil analisis yang didapatkan kemudian dilanjutkan dengan tindakan real yang berupa solusi yaitu melakukan perancangan sistem dengan menggunakan tool-tool yang ada.Berdasarkan studi lapangan dan studi literatur didapatkan hasil analisis berupa bisnis proses yang terjadi di SMK Negeri Ngawen, perancangan sistem yang meliputi flowchart dan DFD, databasenya divisualisasikan dengan ERD. Kata Kunci : SMKN Ngawen, Bisnis Proses, Flowchart, DFD, ERD ABSTRACT Administrative processing system at SMK Ngawen still done manually, causing some problems such as the buildup of paper, limited sharing of data and lack of data integrity and takes relatively longer to access the data. Services provided to parents is also less than the maximum because of possible inaccuracies in the data and information that is inaccurate, it is due to the difficulty of making a report based on the desired period.Before making the information system, first need to analyze problems that occur in SMK Gunung Kidul Ngawen by means of field studies and literature. This is done in order to offer solutions targeted and appropriate. The results of the analysis are obtained and then proceed with real actions that can be a solution that is designing the system by using existing tools.Based on field studies and literature analysis results obtained in the form of business processes that occur in SMK Ngawen, system design that includes a flowchart and DFD, ERD database visualized. Keywords: SMKN Ngawen, Business Process, Flowchart, DFD, ERD
RANCANG BANGUN APLIKASI PENCARIAN LOKASI PANTI JOMPO DI PROVINSI DAERAH ISTIMEWA YOGYAKARTA DAN JAWA TENGAH DENGAN PENERAPAN ALGORITMA GREEDY
Authors: Sri Hasta Mulyani Ari Pradani Kusuma, Hamzah, 
Published: October 2021

Provinsi Daerah Istimewa Yogyakarta dan Jawa Tengah merupakan suatu Provinsi di Indonesia yang memiliki banyak panti jompo, baik yang dikelola oleh pemerintah maupun swasta dalam lingkup Dinas Sosial. Keberadaan panti jompo ini sangat membantu calon penghuni panti jompo untuk dirawat dan diberi fasilitas, layanan 24 jam serta aktifitas-aktifitas positif seperti : menjahit, menyulam, menyanyi dan sebagainya. Namun demikian, karena kurangnya data dan informasi yang terbatas mengenai panti jompo yang ada, sehingga lokasi panti jompo tidak diketahui oleh calon penghuni panti jompo. Penelitian ini bertujuan untuk menghasilkan suatu aplikasi pencarian lokasi panti jompo di provinsi Daerah Istimewa Yogykarta dan jawa Tengah dengan penerapan algoritma greedy yang nantinya dapat mempermudah calon penghuni panti jompo dalam mencari lokasi panti jompo di Provinsi Daerah Istimewa Yogyakarta dan Jawa Tengah dengan menentukan lokasi panti jompo yang sudah ditentukan dan akan ditampilkan di peta. Pengembangan aplikasi ini dibuat dengan menggunakan bahasa pemograman java untuk aplikasi android dan bahasa pemograman php untuk aplikasi website. Hasil penelitian ini diharapkan dapat membantu calon penghuni panti jompo untuk mencari lokasi panti jompo yang berada di Provinsi Daerah Istimewa Yogyakarta dan Jawa Tengah, dengan dukungan smartphone android. Kata kunci : Panti Jompo, Algoritma Greedy, Android.
Modelling dan Pembuatan Algoritma Aliran Fluida pada External Ballistics dengan Model G1-Standard-Bullet Menggunalan Metode Lattice Boltzmann
Authors: Yuana Kumara Ari 
Published: October 2021

INTISARIKomputasi dan eksperimental dalam dunia teknik permesinan (mechanical engineer) merupakan bidang yang saling melengkapi. Komputasi dilakukan untuk memberikan gambaran dan penjelasan rasional dari fenomena yang dihasilkan pada eksperimen. Komputasi juga memberikan prediksi sebelum dilakukan eksperimen untuk lebih mematangkan kondisi-kondisi dari sebuah eksperimen. Komputasi dengan metode Lattice Boltzmann adalah metode yang relatif baru dan menjanjikan di dunia komputasi aliran fluida atau CFD (Computational Fluid Dynamics), sebagai alternative metode yang sudah lama dikembangkan dari persamaan kontunum Navier-Stokes. Metode Lattice Boltzmann berangkat dari logika interaksi sekumpulan partikel dan ditelusuri pola interaksinya melalui bantuan pola jaringan (lattice). Pada riset ini akan digunakan metode Lattice Boltzmann untuk membuat model matematis dan algoritmanya pad aliran fluida yang mengalir di sekitar External Ballistics model G1-Standard-Bullet. Tahap riset selanjutnya adalah pengembangan pembuatan coding pemrograman dan simulasi visual untuk mengetahui pola aliran dan analisis-analisis aerodinamisnya. ABSTRACTComputational and experimental in the world of mechanical engineering is a complementary field and providing a picture and a rational explanation of the phenomena generated from the experiment. Computation with the Lattice Boltzmann method is a relatively new and promising method in the world of fluid flow computation or CFD (Computational Fluid Dynamics), as an alternative to the long-established method of the Navier-Stokes continuum equation. The Lattice Boltzmann method departs from the logic of the interaction of a set of particles and traces its interaction pattern through the aid of a network pattern (lattice). In this research we will use the Lattice Boltzmann method to create a mathematical model and algorithm for the flow of fluid flowing around External Ballistics model G1-Standard-Bullet. The next stage of research is developing the development of coding programming and visual simulation to know the flow pattern and aerodynamic analysis.
Pengaruh Perbedaan Kernel Edge Detection Kirsch Pada Sketching Citra Digital Dengan Bahasa Pemrograman Matlab
Authors: Alfiyan Faruk 
Published: October 2021

INTISARISketching citra adalah sebuah proses pembuatan sketsa dari sebuah citra. Sketching citra digital adalah sesuatu yang sudah sangat familiar terutama dikalangan para seniman dan desainer. Saat ini sketching telah menjadi trend dalam berbagai bidang, mulai dari bidang pendidikan, film animasi hingga masuk ke ranah fashion. Dalam bidang ilmu citra digital proses sketching dapat dilakukan dengan menggunakan edge detection kirsch. Terdapat delapan jenis kernel yang dapat digunakan, dimana masing-masing kernel. Dalam penelitian ini akan dilakukan analasisa apakah perbedaan kernel tersebut juga akan mempengaruhi hasil sketching citra digitalDari hasil penelitian ini diharapkan akan dapat memberikan gambaran pada penelitian-peneltian selanjutnya terutama penelitian yang berhubungan dengan sketching citra digital sehingga hasil yang diperoleh dapat lebih maksimalKata kunci – Sketching, Edge, Detection,.Kirsch, Citra, Digital ABSTRACTSketching the image creation process is a sketch of an image Digital image of Sketching is something that's already very familiar especially among artists and designers. Currently sketching has been a trend in many fields, ranging from education, animated films to enter into the realm of fashion.In the fields of digital imagery, the process of sketching can be done using edge detection kirsch. There are eight types of kernel that can be used, where each kernel. In this research analysis will be performed if the difference that kernel will also affect the results of the digital image of sketchingFrom the results of this research are expected to be able to give an overview on the research of next especially research related to digital image sketching so that the results obtained can be more optimallyKeywords– Sketching, Edge, Detection,.Kirsch, Citra, Digital