bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pembelajaran Ilustrasi Fashion Digital Berbasis Kearifan Lokal Di Program Studi Desain Mode Institut Seni Indonesia Denpasar
Authors: Yuni Diantari Ni Kadek 
Published: October 2022

Perkembangan era industri 4.0 menuntut berbagai program studi salah satunya Program Studi Desain Mode, Fakultas Seni Rupa dan Desain, Institut Seni Indonesia Denpasar untuk mampu berdaptasi dengan teknologi dan digitalisasi dalam proses pembelajaran. Pembelajaran dengan pemanfaaatan teknologi dan digitalisasi dapat diterapkan melalui pembelajaran ilustrasi fashion digital, mengingat sebelumnya pembelajaran ilustrasi fashion dilaksanakan dengan teknik manual sehingga kurang efisien waktu. Pembelajaran ilustrasi fashion digital agar memiliki singularitas makan diterapkan kearifan lokal Indonesia yang diharapkan membantu mahasiswa desain mode untuk menjadi lulusan bermutu dan berdaya bersaing lokal serta global. Pelaksanakan kegiatan pembelajaran ini memerlukan observasi dan wawancara terlebih dahulu sebelum terjun ke lapangan, dengan mengamati situasi dan kondisi di lapangan agar dapat menyiapkan hal-hal yang diperlukan untuk kebutuhan pembelajaran ilustrasi fashion digital berbasis kearifan lokal. Pembelajaran ilustrasi fashion digital yang dilakukan melalui workshop dan education sharing dengan 5 tahapan, tahapan pertama menyiapkan sarana, perijinan serta melakukan publikasi kegiatan, tahapan kedua menyusun materi workshop dan education sharing, tahapan ketiga pelaksanaan workshop dan education sharing, tahapan keempat memberikan latihan pembuatan sketsa desain digital kepada peserta berupa illustrasi dengan tema berbasis budaya Indonesia “Diversity of Indonesia”, dan tahapan kelima evaluasi kegiatan (feed back), setelah kegiatan workshop dan education sharing berakhir peserta diarahkankan untuk mengisi google form sebagai bahan evaluasi kegiatan.
Employer Branding as a Modern Form of Building the Employer’s Image – Students’ Perspective as Future Employees
Authors: Stachowska Sylwia , Wontora Justyna 
Published: October 2022

Under the conditions underlying the contemporary work market, the brand of an organisation as an attractive employer, especially in the opinion of young, talented people, can be a key factor leading to the success of the company in a longer perspective. From this standpoint, the concept of employer branding is gaining importance as a modern way of creating an image of an employer among the current and future employees.
The aim of this study has been to evaluate the effectiveness of employer branding activities implemented by organisations operating on the labour market in the eyes of students as potential employees. The study included students in the second cycle of studies at the Faculty of Economic Sciences, the University of Warmia and Mazury in Olsztyn. The study was carried out as a survey in the first quarter of year 2022.
The study has verified that a positive image of an employer has a significant influence on prospective applicants searching for employment in a given company. The most important role in this regard is played by employer branding activities conducted online, and creating the employer’s profile in social media seems to be particularly valid. For raising the awareness of organisations active on the job market, it also turned out to be significant to participate in in-person job fairs and all other types of events held at universities to promote employment opportunities. Companies which wish to build an employer brand among representatives of the young generation, including university students, soon to be university graduates, should pay attention to using the mentioned solutions in their management practice.
Closed-loop control of continuous piperacillin delivery: An in silico study
Authors: Herrero Pau , Wilson Richard C. , Armiger Ryan , Roberts Jason A. , Holmes Alison , Georgiou Pantelis , Rawson Timothy M. 
Published: October 2022

Background and objective: Sub-therapeutic dosing of piperacillin-tazobactam in critically-ill patients is associated with poor clinical outcomes and may promote the emergence of drug-resistant infections. In this paper, an in silico investigation of whether closed-loop control can improve pharmacokinetic-pharmacodynamic (PK-PD) target attainment is described.Method: An in silico platform was developed using PK data from 20 critically-ill patients receiving piperacillin-tazobactam where serum and tissue interstitial fluid (ISF) PK were defined. Intra-day variability on renal clearance, ISF sensor error, and infusion constraints were taken into account. Proportional-integral-derivative (PID) control was selected for drug delivery modulation. Dose adjustment was made based on ISF sensor data with a 30-min sampling period, targeting a serum piperacillin concentration between 32 and 64 mg/L. A single tuning parameter set was employed across the virtual population. The PID controller was compared to standard therapy, including bolus and continuous infusion of piperacillin-tazobactam.Results: Despite significant inter-subject and simulated intra-day PK variability and sensor error, PID demonstrated a significant improvement in target attainment compared to traditional bolus and continuous infusion approaches.Conclusion: A PID controller driven by ISF drug concentration measurements has the potential to precisely deliver piperacillin-tazobactam in critically-ill patients undergoing treatment for sepsis.
Engineering of Escherichia coli for D-allose fermentative synthesis from D-glucose through izumoring cascade epimerization
Authors: Zheng Ling-Jie , Guo Qiang , Zhang Ya-Xing , Liu Chen-Yang , Fan Li-Hai , Zheng Hui-Dong 
Published: October 2022

D-Allose is a potential alternative to sucrose in the food industries and a useful additive for the healthcare products in the future. At present, the methods for large-scale production of D-allose are still under investigation, most of which are based on in vitro enzyme-catalyzed Izumoring epimerization. In contrast, fermentative synthesis of D-allose has never been reported, probably due to the absence of available natural microorganisms. In this work, we co-expressed D-galactose: H+ symporter (GalP), D-glucose isomerase (DGI), D-allulose 3-epimerase (DAE), and ribose-5-phosphate isomerase (RPI) in Escherichia coli, thereby constructing an in vivo Izumoring pathway for yielding D-allose from D-glucose. The carbon fluxes and carbon catabolite repression (CCR) were rationally regulated by knockout of FruA, PtsG, Glk, Mak, PfkA, and PfkB involved in the pathways capable of phosphorylating D-fructose, D-glucose, and fructose-6-phosphate. Moreover, the native D-allose transporter was damaged by inactivation of AlsB, thus driving the reversible Izumoring reactions towards the target product. Fermentation was performed in the M9 medium supplemented with glycerol as a carbon source and D-glucose as a substrate. The results show that the engineered E. coli cell factory was able to produce approximately 127.35 mg/L of D-allose after 84 h. Our achievements in the fermentative production of D-allose in this work may further promote the green manufacturing of rare sugars.
Optimization of the driver’s seat belt and injury biomechanical analysis in real-world minivan small offset impact accident scenarios
Authors: Yang Xiuju , Shi Jingjing , Fu Qianying , Pu Shanshan , Lian Chunxiao , Li Kui , Yin Zhiyong , Liu Shengxiong , Wang Guixue 
Published: October 2022

To minimize injuries and protect the safety of the driver in minivan small offset collisions, an optimized pre-tensioned force-limiting seat belt was proposed herein. An accident with detailed information, such as medical reports, vehicle inspection reports, and accident scene photographs, was reconstructed using HyperMesh software. The effectiveness of both the accident model and the pre-tensioned force-limiting seat belt was evaluated. To obtain the optimal seat belt parameters for driver protection, first, force-limiting A, pre-tensioned force B, and pre-tensioned time C factors were selected in designing an orthogonal test with different factor levels. The influence laws of each factor on the injury biomechanical characteristics of the driver were analyzed via the direct analysis method. Moreover, each kind of critical injury value of the human body was synthesized, and the radial basis function surrogate model was constructed. The three seat belt parameters were optimized using the NSGA-II multi-objective genetic algorithm. The results showed that the optimal balance variable parameter of the seat belt was 4751.618 N–2451.839 N–17.554 ms (A–B–C). Finally, the optimal scheme was verified in a system simulating a minivan small offset collision. The results showed that after optimization, the skull von Mises stress was reduced by 36.9%, and the stress of the cervical vertebra cortical bone and cancellous bone decreased by 29.1% and 30.8%, respectively. In addition, the strains of the ribs and lungs decreased by 31.2% and 30.7%, respectively.
Peripheral blood markers predict immunotherapeutic efficacy in patients with advanced non-small cell lung cancer: A multicenter study
Authors: Liu Shuai , Zhao Liuyuan , Zhou Guohua 
Published: October 2022

This study aims to investigate the prognostic impact of peripheral blood markers in patients with advanced non-small cell lung cancer (NSCLC) undergoing immunotherapy. In the current multicenter study, 157 advanced NSCLC cases treated by immunotherapy at three institutions were included. Biochemical parameters in baseline peripheral blood were collected. The associations between biochemical parameters and prognosis were investigated by the Kaplan–Meier survival analyses and Cox regression, and the predictive performances of biomarkers were evaluated via receiver operating characteristic analysis. The neutrophil-to-lymphocyte ratio (NLR) (progression-free survival [PFS]: hazard ratio [HR], 1.766; 95% confidence interval [CI], 1.311–2.380; p &lt; 0.001; overall survival [OS]: HR, 1.283; 95% CI, 1.120–1.469; p &lt; 0.001) and red blood cell distribution width (RDW) (PFS: HR, 1.052; 95% CI, 1.005–1.102; p = 0.031; OS: HR, 1.044; 95% CI, 1.001–1.091; p = 0.042) were revealed as independent predictors for both PFS and OS. In addition, NLR ≥3.79 (1-year PFS, 24.2% [95% CI, 15.2%–38.4%] versus 27.3% [95% CI, 18.2%–41.1%], p = 0.041; 1-year OS, 44.2% [95% CI, 32.5%–60.1%] versus 71.8% [95% CI, 60.6%–85.2%], p &lt; 0.001) or RDW ≥44.8 g/L (1-year PFS, 19.2% [95% CI, 11.4%–32.3%] versus 31.7% [95% CI, 21.9%–46.0%], p = 0.049; 1-year OS, 54.0% [95% CI, 42.7%–68.3%] versus 63.1% [95% CI, 50.6%–78.6%], p = 0.014) was significantly correlated to poorer PFS and OS than NLR &lt; 3.79 or RDW &lt;44.8 g/L. Moreover, NLR and RDW achieved areas under the curve with 0.651 (95% CI, 0.559–0.743) and 0.626 (95% CI, 0.520–0.732) for predicting PFS, and 0.660 (95% CI, 0.567–0.754) and 0.645 (95% CI, 0.552–0.739), for OS. Therefore, PLR and RDW could help predict the immunotherapeutic efficacy of advanced NSCLC.
Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics
Authors: Cheng Chi-Yung , Kung Chia-Te , Chen Fu-Cheng , Chiu I-Min , Lin Chun-Hung Richard , Chu Chun-Chieh , Kung Chien Feng , Su Chih-Min 
Published: October 2022

PurposeTo build machine learning models for predicting the risk of in-hospital death in patients with sepsis within 48 h, using only dynamic changes in the patient's vital signs.MethodsThis retrospective observational cohort study enrolled septic patients from five emergency departments (ED) in Taiwan. We adopted seven variables, i.e., age, sex, systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, and body temperature.ResultsAmong all 353,253 visits, after excluding 159,607 visits (45%), the study group consisted of 193,646 ED visits. With a leading time of 6 h, the convolutional neural networks (CNNs), long short-term memory (LSTM), and random forest (RF) had accuracy rates of 0.905, 0.817, and 0.835, respectively, and the area under the receiver operating characteristic curve (AUC) was 0.840, 0.761, and 0.770, respectively. With a leading time of 48 h, the CNN, LSTM, and RF achieved accuracy rates of 0.828, 0759, and 0.805, respectively, and an AUC of 0.811, 0.734, and 0.776, respectively.ConclusionBy analyzing dynamic vital sign data, machine learning models can predict mortality in septic patients within 6 to 48 h of admission. The performance of the testing models is more accurate if the lead time is closer to the event.
Optical coherence tomography evaluation of choroidal structure changes in diabetic retinopathy patients: A systematic review and meta-analysis
Authors: Jiang Jikuan , Liu Jingyuan , Yang Jia , Jiang Bing 
Published: October 2022

IntroductionDiabetic retinopathy (DR) is one of the major causes of blindness among working-aged adults worldwide. This study aimed to evaluate the differences in the subfoveal choroidal thickness (SFCT) and choroidal vascularity index (CVI) using optical coherence tomography (OCT) of patients with diabetic eyes with no retinopathy (NDR) and with diabetic retinopathy (DR).MethodsWe performed a comprehensive literature search of the PubMed, Embase, and Cochrane Library databases up to October 2021. The weighted mean difference (WMD) with the 95% confidence interval (CI) was pooled for continuous outcomes.ResultsTwenty-three cross-sectional studies comprising 2,534 eyes including 1,070 NDR eyes, 1,464 DR eyes were included in the systematic review and meta-analysis. The pooled results showed SFCT was significantly thicker in DR than in NDR patients after adjusting for axial length (WMD = 27.90 μm; 95% CI: 11.51 to 44.28; P = 0.001), and the CVI was significantly lower in DR patients (WMD = −1.59; 95% CI: −2.67 to −0.52; P = 0.004).ConclusionWe described changes in the SFCT and CVI in DR. Resultantly, the CVI and SFCT may be valuable parameters for monitoring the onset of DR and helpful for a better understanding of the role of the choroid in the pathological process of DR.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/#myprospero, CRD42021228738.
Brain signal complexity in adults with Down syndrome: Potential application in the detection of mild cognitive impairment
Authors: Fernández Alberto , Ramírez-Toraño Federico , Bruña Ricardo , Zuluaga Pilar , Esteba-Castillo Susanna , Abásolo Daniel , Moldenhauer Fernando , Shumbayawonda Elizabeth , Maestú Fernando , García-Alba Javier 
Published: October 2022

BackgroundDown syndrome (DS) is considered the most frequent cause of early-onset Alzheimer’s disease (AD), and the typical pathophysiological signs are present in almost all individuals with DS by the age of 40. Despite of this evidence, the investigation on the pre-dementia stages in DS is scarce. In the present study we analyzed the complexity of brain oscillatory patterns and neuropsychological performance for the characterization of mild cognitive impairment (MCI) in DS.Materials and methodsLempel-Ziv complexity (LZC) values from resting-state magnetoencephalography recordings and the neuropsychological performance in 28 patients with DS [control DS group (CN-DS) (n = 14), MCI group (MCI-DS) (n = 14)] and 14 individuals with typical neurodevelopment (CN-no-DS) were analyzed.ResultsLempel-Ziv complexity was lowest in the frontal region within the MCI-DS group, while the CN-DS group showed reduced values in parietal areas when compared with the CN-no-DS group. Also, the CN-no-DS group exhibited the expected pattern of significant increase of LZC as a function of age, while MCI-DS cases showed a decrease. The combination of reduced LZC values and a divergent trajectory of complexity evolution with age, allowed the discrimination of CN-DS vs. MCI-DS patients with a 92.9% of sensitivity and 85.7% of specificity. Finally, a pattern of mnestic and praxic impairment was significantly associated in MCI-DS cases with the significant reduction of LZC values in frontal and parietal regions (p = 0.01).ConclusionBrain signal complexity measured with LZC is reduced in DS and its development with age is also disrupted. The combination of both features might assist in the detection of MCI within this population.
Societal economic burden of multiple sclerosis and cost-effectiveness of disease-modifying therapies
Authors: Simoens Steven 
Published: October 2022

BackgroundIn an era of scarce resources, policy makers, neurologists and other stakeholders need to be aware of the economic burden of multiple sclerosis and the cost-effectiveness of disease-modifying therapies. The aim of this article is to provide a mini-review of these health economic facets of multiple sclerosis.MethodsAn umbrella review was conducted by searching PubMed and Google Scholar from 2002 until June 2022 for peer-reviewed systematic and narrative literature reviews.ResultsAn extensive body of evidence corroborates that multiple sclerosis is associated with a substantial economic burden within and outside the health care sector, that costs of secondary progressive multiple sclerosis exceed those of relapsing-remitting multiple sclerosis, that costs increase with disease severity and are influenced by the occurrence of relapses and therapy adherence. However, cost estimates and their breakdown into various components vary between countries. Economic evaluations show that disease-modifying therapies for relapsing-remitting multiple sclerosis are generally not cost-effective, but these results depend on the local setting. Cost-effectiveness of disease-modifying therapies improves when a societal perspective is taken and efficacy does not wane over a lifetime horizon, when oral administration forms or dosing strategies requiring less maintenance are introduced, and when generic versions enter the market. Reimbursement recommendations related to disease-modifying therapies also differ between countries.ConclusionThe local context matters when calculating the societal economic burden of multiple sclerosis and the cost-effectiveness of disease-modifying therapies.
The frequency and relationship with vestibular function test results of positional preference in acute vestibular neuritis
Authors: Park Ji-Yun , Lee Hyung , Kim Hyun Ah 
Published: October 2022

ObjectiveTo assess the prevalence and relationship with vestibular function test results of positional preference in acute vestibular neuritis (VN).MethodsWe prospectively recruited 33 patients with VN during the acute phase. We assessed the severity of vertigo with a visual analog scale (VAS) and the degree of spontaneous nystagmus (SN) during sitting, the head rolling to the affected, and the healthy side. Patients performed other vestibular function tests, including ocular and cervical vestibular evoked myogenic potential (VEMP), on the same day or the next day of VNG testing.ResultsTwelve patients (12/33, 36%) with VN complained of more severe vertigo during lying on the affected side compared to the healthy side under visual fixation. Compared to patients without positional preference (without positional preference group), patients with positional preference (with positional preference group) showed a significantly higher VAS and maximal slow phase velocity (SPV) of SN at all positions except lying on the lesion side. However, there was no difference in the SPV gap between the two groups. 30% (10/33) of patients with VN complained of more severe vertigo while lying on the affected side compared to the healthy side without visual fixation. Maximal SPV of SN was not different between the two groups. There was no other significant difference in both canalith and otolith function test results between the two groups regardless of the visual fixation.ConclusionsOne-third of patients with acute VN had more severe vertigo while lying on the affected side than in the supine position. The positional preference was not directly related to the SN intensity or VEMP results. The positional preference might reflect the otolith damage in the setting of activation of the sustained otolith system, not the transient otolithic system.
Measurement of D-dimer in cerebrospinal fluid using a luminescent oxygen channeling immunoassay
Authors: Kohlhase Konstantin , Schaefer Jan Hendrik , Miesbach Wolfgang , Hintereder Gudrun , Kirchmayr Konstantin , Zwinge Birga , Yalachkov Yavor , Foerch Christian , Schaller-Paule Martin A. 
Published: October 2022

BackgroundMeasurement of D-dimer in cerebrospinal fluid (CSF) allows insight into coagulation system activation in the central nervous system and can be utilized to monitor intracranial hemorrhage as well as acute phase processes beyond hemostasis in inflammatory and neoplastic diseases. So far, the measurability of D-dimer in low and very low concentrations in CSF was limited in conventional immunoassays. Novel high-sensitivity chemiluminescent immunoassays such as the luminescent oxygen channeling immunoassay (LOCI®) are getting increasingly available but have not been validated in CSF. The aim of this study was to investigate the accuracy and linearity of the LOCI® in assessing D-dimer in CSF.MethodsINNOVANCE LOCI hs D-dimer reagent cartridge was used for the measurement of D-dimer in CSF of patients with different neurological diseases. For the evaluation of linearity, dilution series were performed in a pooled CSF sample with the determination of intra-assay precision (CV, coefficient of variation) in 3 individual samples with 20 replicates. Furthermore, D-dimer concentrations measured by LOCI® were compared with the respective results of a routinely available clinical latex-enhanced immunoassay (HemosiIL D-Dimer HS 500).ResultsLinear regression analysis of the LOCI® method revealed a r2 of 1.00 (p &lt; 0.001) with a regression coefficient B of 1.012 ± 0.003 (CI: 1.005–1.019, p &lt; 0.001) and an intercept of −1.475 ± 1.309 (CI: −4.493 to 1.543); the median intra-assay CV was 0.69% (range: 0.68–0.75). In total, 185 CSF samples were measured by LOCI® technology, showing a mean concentration of 204.84 ± 2,214.93 ng/ml. D-dimer concentration between LOCI and latex-enhanced immunoassay differed by a factor of 10.6 ± 13.6 on average with a maximum deviation by a factor of 61.3; the maximum deviation was found at low concentrations.ConclusionD-dimer in CSF of patients with neurological disease can be reliably measured by the LOCI® method with high linearity and accuracy at low concentrations.