bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tranexamic Acid in Aneurysmal Subarachnoid Hemorrhage: A Meta-analysis of Randomized Controlled Trials
Authors: Liu Tao , Ding Huiru , Xue Renmin 
Published: July 2021

Abstract
BackgroundTranexamic acid, as a hemostatic drug, is widely used to treat or prevent excessive blood loss. The efficacy of tranexamic acid in promoting good clinical outcomes, reducing mortality, and the occurrence of adverse events during treatment of aneurysmal subarachnoid hemorrhage remains unclear.MethodsPubMed, Web of Science, Embase, and The Cochrane Library were searched for randomized-controlled trials (from1980 to 2021) following strict inclusion and exclusion criteria. We performed STATA 16.0 and RevMan 5.3 for statistical analysis. Fixed-effect model (M-H method) and effect size RR (95% CI) were used as a pooled measure to combine the heterogeneous data. We also performed post hoc sensitivity analyses and conducted subgroup analyses to evaluate each outcome with low heterogeneity results.ResultsMeta-analysis showed that tranexamic acid was associated with reduced rebleeding(RR 0.72 [0.59, 0.87], p= 0.0008; I2:0%, p = 0.51). Tranexamic acid probably has no effect on good clinical outcome or mortality (RR 0.98 [0.92,1.04], p = 0.51; I2: 0%, p = 0.60; RR 1.01 [0.88,1.15], p=0.91; I2:0%, p = 0.51).TXA was associated with increased hydrocephalus (RR 1.13 [1.02, 1.24], p = 0.02; I2:0%, p = 0.61), DCI (RR 1.70 [1.34, 2.16], p < 0.0001; I2: 0%, p= 0.84) and seizure (RR 1.46 [1.00, 2.14], p= 0.05),The rate for thromboembolic complications were similar in both groups(RR 0.91 [0.63, 1.31], p = 0.62;I2: 0%, p = 0.73). There was significant drug related overall adverse events (RR 1.21 [1.11, 1.32], p < 0.0001; I2: 29%, p = 0.14).Conclusions﻿In patients with aneurysmal subarachnoid hemorrhage, these findings indicate that it does not support the routine use of TXA.
Joining host/guest with contrary affinity at the nanoscale by chemical bonds or non-covalent interactions with organic media under diffusion: control of embedded versus exposed magnetite dispersions.
Authors: Jansat Susanna , Moncusí Mercè 
Published: July 2021

Abstract
Emulating natural dynamism distributing earth minerals using diffusion and gravity, herein it is reported a strategy to unite nanostructured materials of similar size but intrinsic physical repellence, magnetite guest bestowed with C18 alkyl chain ligands and highly hydrophilic ammonium dawsonite NH4Al(OH)2CO3 host, based in electromagnetic and chemical forces. Notwithstanding augmented polarity of nanostructured surface’s carrier, has been used as fine-tuning tool in conjunction with continuum, for triggering a disseminated array of specific interactions covering entire carrier NH4+-RDW-NP periphery. Strong interactions heighten enthalpic contributions balancing unfavourable entropic penalty. Shelter adsorbs diffused guest like conventional Fe3O4-NP dispersions but additionally, whether restricts void’s access or, sinters carrier enabling isolation of a second morphology where magnetite is quantitatively embedded into cavities left between agglomerates. Reported deposition protocol extends sort of practical interactions beyond the known dipole-dipole derived ones, to ion-p and truly chemical coordination bonds, strengthening wetting interfaces that define noticeable g-Al2O3 crystalline domains at minor temperatures. Manuscript illustrates how certain organic media may assist to reliable guest depositions in, hydrotalcite to alumina carriers within controlled morphology, at the same weight level than common procedures reported for more akin host/guest. Interestingly, protocol enables practical SBET measurements for solids with significative contributions of interparticle porosity. Detrimental effects are also addressed.
Functional near-infrared spectroscopy (fNIRS) of posterolateral cerebellum and prefrontal cortex for fNIRS-driven cerebellar tES
Authors: Singh Shubh Mohan , Kumar Kavya Narendra , Walia Pushpinder , Ranjan Shashi , Rezaee Zeynab , Lahiri Uttama , Dutta Anirban 
Published: July 2021

Abstract
Abstract—Cerebellar transcranial direct current stimulation (ctDCS) has been shown to facilitate standing balance in stroke survivors where a good general linear model fit was found in the latent space between the mean lobular ctDCS electric field strength with the oxy-hemoglobin concentrations (HbO) from functional near-infrared spectroscopy (fNIRS) and log10-transformed electroencephalogram (EEG) bandpower at the prefrontal cortex (PFC) and the sensorimotor cortex in the responders. Recent works have also found that the infra-slow activity (0.01–0.10 Hz) and delta band (0.5–4 Hz) activity propagated in opposite directions between the cerebellum and cerebral cortex. Therefore, in this study, we tested the feasibility of fNIRS of cerebellum and PFC where infra-slow (0.01–0.10 Hz) PFC HbO activity was used to drive (phase amplitude coupling) 4Hz cerebellar transcranial alternating current stimulation (ctACS) at right lobules VI-CrusI/II-VIIb. We found that 2mA ctDCS evoked similar HbO response across cerebellum and PFC brain regions (a=0.01); however, 2mA ctACS evoked HbO across brain regions that was statistically different (a=0.01). Clinical Relevance—We showed the feasibility of fNIRS of cerebellum and PFC, and fNIRS-driven ctACS at 4Hz that may facilitate cognitive function via the frontoparietal network in cerebellar cognitive affective/Schmahmann syndrome.
PENGARUH KEPEMIMPINAN SERVANT, MOTIVASI, KOMPENSASI, DAN IKLIM ORGANISASI TERHADAP ORGANIZATIONAL CITIZENSHIP BEHAVIOR
Authors: Novita Ari Tri 
Published: July 2021

ABSTRAK Penelitian ini bertujuan untuk mengetahui kepemimpinan melayani, motivasi, kompensasi, iklim organisasi terhadap perilaku kewargaan organisasional pada karyawan Kerupuk Ninda Rasa Kabupaten Klaten. Populasi dalam penelitian adalah 40 karyawan Kerupuk Ninda Rasa Kabupaten Klaten. Teknik pengambilan sampel dalam penelitian ini adalah accidental/haphazard sampling (pengambilan sesaat). Hasil menunjukan tidak ada pengaruh signifikan antara variabel kepemimpinan servant terhadap variabel perilaku kewargaan organisasional. Kompensasi berpengaruh terhadap perilaku kewargaan organisasional sementara iklim organisasi tidak signifikan terhadap perilaku kewargaan organisasional. Kata kunci: kepemimpinan melayani, motivasi, kompensasi, iklim organisasi, perilaku kewargaan organisasional ABSTRACT This study aims to determine the serving leadership, motivation, compensation, organizational climate on organizational citizenship behavior of the employees of Kerupuk Ninda Rasa, Klaten Regency. The population in the study were 40 employees of Kerupuk Ninda Rasa, Klaten Regency. The sampling technique utilized in this research is accidental/haphazard sampling. The results show that there is no significant effect between the servant leadership variable and the organizational citizenship behavior variable. Compensation has significant effect on organizational citizenship behavior while organizational climate is not significant on organizational citizenship behavior. Keywords: servant leadership, motivation, compensation, organizational climate, organizational citizenship behavior
PENGARUH KEPEMIMPINAN, DISIPLIN KERJA, DAN KOMUNIKASI TERHADAP KINERJA KARYAWAN
Authors: Palupi Dyah Ayu Puri 
Published: July 2021

ABSTRAK Tujuan penelitian ini adalah untuk meneliti pengaruh variabel kepemimpinan, disiplin kerja, dan komunikasi pada kinerja karyawan di CV. Anugrah Garmindo. Sebuah model pengembangan manajemen menguji pengaruh antara variabel konstruk. Model ini menguji pengaruh antara variabel kepemimpinan, disiplin kerja, dan komunikasi pada kinerja karyawan di CV. Anugrah Garmindo. Hasilnya menunjukkan ada hasil yang cukup signifikan pada model penelitian ini. Koefisiennya menunjukkan bahwa kepemimpinan, disiplin kerja, dan komunikasi berpengaruh signifikan positif pada kinerja karyawan. Keterbatasan penelitian ini meliputi metodologi laporan ini sendiri yang mengukur data persepsi dengan serangkaian kuesioner. Terdapat aplikasi praktis bagi para pimpinan di lingkungan CV. Anugrah Garmindo untuk meningkatkan perhatian pada disiplin kerja karyawan secara periodik dan mempertahankan komunikasi yang sudah baik dengan mengadakan evaluasi secara berkala untuk menilai sikap dalam bekerja sehingga kinerja karyawan meningkat. Kata kunci: kepemimpinan, disiplin kerja, komunikasi, kinerja ABSTRACT The purpose of this study is to investigate leadership, work discipline, and communication and their impact on the employee’s performance. A management development model examines the impact among the measurable constructs. The model explores the impact among leadership, work discipline, and communication on employee’s performance in CV. Anugrah Garmindo. The results indicate there is a goodness of fit for research model. The coefficient explained that the leadership, work discipline, and communication have positive and significant impact to employee’s performance in the management model. The limitations include the self-report methodology that measures perceptual data with a series of questionairre items. There are practical applications for management development specialists and the model supports an environment in which leaders are encouraged to increase their ability to give more attention to their employee’s work discipline and it will increase the employee’s performance. Keywords: leadership, work discipline, communication, performance
PENGARUH LINGKUNGAN KERJA, KOMPENSASI, DAN MOTIVASI INTRINSIK TERHADAP LOYALITAS KARYAWAN
Authors: Klaudia Lulut , Prayekti Prayekti , Herawati Jajuk 
Published: July 2021

ABSTRAK Penelitian ini bertujuan untuk mengetahui lingkungan kerja, kompensasi, motivasi intrinsik terhadap loyalitas karyawan pada karyawan Waroeng Spesial Sambal Yogyakarta. Populasi dalam penelitian ini adalah 100 karyawan Waroeng Spesial Sambal Yogyakarta dan dipersempit dengan menggunakan rumus Slovin menjadi 46 responden. Teknik pengambilan sampel dalam penelitian ini adalah accidental sampling. Teknik pengumpulan data dalam penelitian ini menggunakan kuesioner, survei langsung, dan skala pengukuran yang digunakan dalam penelitian ini adalah menggunakan skala Likert. Hasil menunjukkan tidak ada pengaruh antara lingkungan kerja terhadap loyalitas karyawan, kompensasi tidak ada pengaruh terhadap loyalitas karyawan sedangkan motivasi intrinsik ada pengaruh positif dan signifikan terhadap loyalitas karyawan. Kata kunci: lingkungan kerja, kompensasi motivasi intrinsik, loyalitas karyawan ABSTRACT This study aims to determine the work environment, compensation, intrinsic motivation on employee loyalty to employees of Waroeng Spesial Sambal Yogyakarta. The population in this study were 100 employees of Waroeng Spesial Sambal Yogyakarta and narrowed it down by using the Slovin formula to 46 respondents. The sampling technique in this study was accidental sampling. The data collection technique in this study used a questionnaire, direct survey, and the measurement scale used in this study was a Likert scale. The results show that there is no influence between work environment on employee loyalty, compensation has no effect on employee loyalty, while intrinsic motivation has a positive and significant effect on employee loyalty. Keywords: work environment, intrinsic motivation compensation, employee loyalty
Adaptive hybrid architecture for enhancement of the complex hydroclimatic system and assessment of freshwater security
Authors: Budamala Venkatesh , Mahindrakar Amit Baburao 
Published: July 2021

Abstract
Future freshwater security relies on hydroclimatic (HC) shifts and regimes for sustainable development. The approximation of the HC system faces major uncertainties and complexities due to the incorporation of heavy datasets, characteristics, and constraints. The proposed study focused on the parallel computing of emulator modeling-based spatial optimization to enhance the HC systems with the perspective of future freshwater security in the Upper Chattahoochee River basin (UCR). Here, the framework compiles both physical and machine learning concepts with adaptive technology for the replication of real-world scenarios. Besides, it contains 2Emulator Model Fitting, Spatial Optimization, Parallel Computing, and Initial and Adaptive sampling to upgrade model efficiency, while UCR has inadequate groundwater and the assessment of freshwater security in UCR is more necessary for varying future climatic conditions. The results displayed that the proposed spatial optimization algorithm proved to be an effective and efficient approach in the approximation of HC models. The assessment of water security in UCR was showed in terms of scarcity and vulnerability indicators for median and low-level conditions, respectively. Moreover, this study provides the potential framework for the enhancement of physical model predictions with the incorporation of hybrid concepts for problem-solving technology which can provide significant information on HC issues.
Multivariate modeling of river water withdrawal using a hybrid evolutionary data-driven method
Authors: Emadi Alireza , Sobhani Reza , Ahmadi Hossein , Boroomandnia Arezoo , Zamanzad-Ghavidel Sarvin , Azamathulla Hazi Mohammad 
Published: July 2021

Abstract
Water resources are one of the most important features of the environment to meet human needs. In the current research, morphological, quantitative and qualitative hydrological, and land use factors as well as the combined factor, which is the combination of effective variables of the aforementioned factors, have been used to estimate River Water Withdrawal (RWW) for agricultural uses. Lavasanat and Qazvin are selected as study areas, located in the Namak Lake basin in Iran, with Bsk and Csa climate categories, respectively. Estimation of RWW is performed using single and Wavelet–hybrid (W-hybrid) data-driven methods, including Artificial Neural Networks (ANNs), Wavelet–ANN (WANNs), Adaptive Neuro-Fuzzy Inference System (ANFIS), Wavelet–ANFIS (WANFIS), Gene Expression Programming (GEP), and Wavelet–GEP (WGEP). Due to the evaluation criteria, the performance of the WGEP model is the best among the others for estimating RWW variables in both study areas. Considering the W-hybrid models with data de-noising for estimating RWW in the Lavasanat and Qazvin study areas, the obtained values of RMSE for WGEP11 to WGEP15 and WGEP21 to WGEP25 equal 67.268, 54.659, 80.871, 50.796, 15.676 and 105.532, 96.615, 105.018, 160.961, 44.332, respectively. The results indicate that WGEP and ANN are the best and poorest models in both study areas without regarding climate condition effects. Also, a combined factor which includes River Width (RW), minimum flow rate (QMin), average flow rate (QMean), Electrical Conductivity (EC), and Cultivated Area (CA) variables is introduced as the best factor to estimate RWW variables compared with the other factors in both the Bsk and Csa climate categories. On the other hand, qualitative hydrological and land use factors were the weakest ones to estimate RWW variables in the Bsk and Csa climate categories, respectively. Therefore, the current study explores how the mathematical relations for estimating RWW have a significant effect on water resources management and planning by policymakers in the future.
DDoS Attack Detection in Software Defined Networks by Various Metrics
Authors: Malallah Fahad Layth , Saadallah Noor Raad , Al-Talib Sahar Abdul Aziz 
Published: July 2021

Background:
Software-Defined Networks (SDNs) are a new architectural approach to
smart centralized control networks that were introduced alongside Open Flow in 2011. SDNs are
programmed using software applications that help operators manage the network in a fully consistent
and comprehensive way. Centralization in these networks is considered a weakness, especially
if it is accessed by a Distributed Denial of Service (DDoS) attack - which is the process of uploading
huge floods of various sorts of traffic to a website, from multiple sources, in order to make
it and its services inaccessible to users.

Method:
In our current research, we will build an SDN through a Mininet virtualization simulator,
and by using Python. A DDoS attack will be detected depending on two facts: firstly, Traffic State -
which normally sees traffic packets sent at around 30 packets per second (DDoS packets are about
250 packets per second and will completely disrupt the network if the attack persists). Secondly, the
number of IP Hits. The method used in the research appears very effective in detecting DDoS, according
to the results we have achieved.

Result:
The proposed performance of the system: The Precision (PREC), Recall (REC), and FMeasure
(F1) metrics have been used for assessment.

Conclusion:
The novelty of the current research lies in the detection of penetration in SDN networks,
by calculating the number of hits by the hacker's device and the number of times they enter the
main device in the network, in addition to the large amount of data sent by the hacker's device to the
network. The experimental results are promising as compared with the datasets like CIC-DoS, CICIDS2017,
CSE-CIC-IDS2018, and customized dataset. The results ranged between 90% and 96%.
Exploring the Use of Genomic and Routinely Collected Data: Narrative Literature Review and Interview Study
Authors: Daniels Helen , Jones Kerina Helen , Heys Sharon , Ford David Vincent 
Published: July 2021

Background
Advancing the use of genomic data with routinely collected health data holds great promise for health care and research. Increasing the use of these data is a high priority to understand and address the causes of disease.

Objective
This study aims to provide an outline of the use of genomic data alongside routinely collected data in health research to date. As this field prepares to move forward, it is important to take stock of the current state of play in order to highlight new avenues for development, identify challenges, and ensure that adequate data governance models are in place for safe and socially acceptable progress.

Methods
We conducted a literature review to draw information from past studies that have used genomic and routinely collected data and conducted interviews with individuals who use these data for health research. We collected data on the following: the rationale of using genomic data in conjunction with routinely collected data, types of genomic and routinely collected data used, data sources, project approvals, governance and access models, and challenges encountered.

Results
The main purpose of using genomic and routinely collected data was to conduct genome-wide and phenome-wide association studies. Routine data sources included electronic health records, disease and death registries, health insurance systems, and deprivation indices. The types of genomic data included polygenic risk scores, single nucleotide polymorphisms, and measures of genetic activity, and biobanks generally provided these data. Although the literature search showed that biobanks released data to researchers, the case studies revealed a growing tendency for use within a data safe haven. Challenges of working with these data revolved around data collection, data storage, technical, and data privacy issues.

Conclusions
Using genomic and routinely collected data holds great promise for progressing health research. Several challenges are involved, particularly in terms of privacy. Overcoming these barriers will ensure that the use of these data to progress health research can be exploited to its full potential.
Augmented Reality for Guideline Presentation in Medicine: Randomized Crossover Simulation Trial for Technically Assisted Decision-making
Authors: Follmann Andreas , Ruhl Alexander , Gösch Michael , Felzen Marc , Rossaint Rolf , Czaplik Michael 
Published: July 2021

Background
Guidelines provide instructions for diagnostics and therapy in modern medicine. Various mobile devices are used to represent the potential complex decision trees. An example of time-critical decisions is triage in case of a mass casualty incident.

Objective
In this randomized controlled crossover study, the potential of augmented reality for guideline presentation was evaluated and compared with the guideline presentation provided in a tablet PC as a conventional device.

Methods
A specific Android app was designed for use with smart glasses and a tablet PC for the presentation of a triage algorithm as an example for a complex guideline. Forty volunteers simulated a triage based on 30 fictional patient descriptions, each with technical support from smart glasses and a tablet PC in a crossover trial design. The time to come to a decision and the accuracy were recorded and compared between both devices.

Results
A total of 2400 assessments were performed by the 40 volunteers. A significantly faster time to triage was achieved in total with the tablet PC (median 12.8 seconds, IQR 9.4-17.7; 95% CI 14.1-14.9) compared to that to triage with smart glasses (median 17.5 seconds, IQR 13.2-22.8, 95% CI 18.4-19.2; P=.001). Considering the difference in the triage time between both devices, the additional time needed with the smart glasses could be reduced significantly in the course of assessments (21.5 seconds, IQR 16.5-27.3, 95% CI 21.6-23.2) in the first run, 17.4 seconds (IQR 13-22.4, 95% CI 17.6-18.9) in the second run, and 14.9 seconds (IQR 11.7-18.6, 95% CI 15.2-16.3) in the third run (P=.001). With regard to the accuracy of the guideline decisions, there was no significant difference between both the devices.

Conclusions
The presentation of a guideline on a tablet PC as well as through augmented reality achieved good results. The implementation with smart glasses took more time owing to their more complex operating concept but could be accelerated in the course of the study after adaptation. Especially in a non–time-critical working area where hands-free interfaces are useful, a guideline presentation with augmented reality can be of great use during clinical management.