Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH WORK LIFE BALANCE TERHADAP KEPUASAN KERJA KARYAWAN MILENIAL PERUSAHAAN STARTUP DI JAKARTA

This research is a quantitative study to determine the influence of work-life balance on employee satisfaction of the millennial employee’s generation in Jakarta. The population of this study are the people who works at Startup company in Jakarta. This study used sample size of 100 respondents, with non-probability purposive sampling. Multivariate regression method is used to analyze the data. Data was collected by distributing online questionnaires. The tool used to analyze the data is SmartPLS 3.0. The results of this study indicate that Work Interference with personal life, personal life interference with work, work life enhancement, personal life enhancement has an effect on employee satisfaction. Through this research, it is hoped that startup companies can take advantage of work-life balance policies to increase job satisfaction.
Contactless Multispectral Palm-Vein Recognition With Lightweight Convolutional Neural Network

The development of information technology has made it possible to replace traditional keys and passwords with biometric recognition. Among the various human recognition technologies, contactless palm-vein authentication is becoming increasingly popular because it is hygienic and safe. In the field of deep learning (DL), system security and multispectral compatibility are crucial issues that require outright solutions. One of the most widely investigated DL algorithms is the convolutional neural network (CNN), which has been proven to have strong feature extraction capability. However, the training of CNN requires large samples and thus entails a heavy computational load, resulting in high hardware and software costs. Therefore, this paper proposes an adaptive Gabor filter with enhanced imaging features and triplet loss function that captures sufficient palm-vein data. A multispectral palm database from the CASIA public database was employed in this study to analyze the proposed system. The experimental results show that the proposed method has a low recognition error rate of 0.0556% and uses only a few network parameters in a multispectral environment.
Clinical and epidemiological profile of cleft lip and palate patients in Peru, 2006 – 2019

Background The purpose of this study was to determine the clinical-epidemiological profile of patients with cleft lip and / or palate in Peru from 2006 to 2019. Material and Methods This retrospective and cross-sectional study analyzed 3,923 patients with cleft lip and palate attended by surgical missions of the Operación Sonrisa Perú from January 2006 to December 2019. The clinical profile of the patients treated included: type of cleft (cleft lip CL, cleft palate CP, cleft lip and palate CLP and submucosal SM), surgery performed (cheiloplasty, palatoplasty, cleft rhinoplasty, fistula repair, pharyngeal flap), surgical time according to number of interventions. Likewise, affiliation variables such as sex, age and birthplace were recorded. Descriptive analysis was performed. Associations were determined using the Pearson’s Chi-square test and Two-sample test of proportions were used for comparing the percentages during time. A p value <0.005 was considered significant. Results The most frequent diagnosis was CP (n = 1411, 35.97%). We identified a statistically significant association between the diagnosis of CL, CP and gender (p = 0.045), being more prevalent in males. A higher prevalence of CL was also observed on the left side and in males (n = 183). Cheiloplasty was the most frequent first surgical intervention performed (n = 837, 47.42%) followed by fistula repair as the second intervention (n = 428, 42.29%). Conclusions Cleft lip and palate are more frequent in males, with CP being the most frequent. CL is more frequent on the left side and the first surgical approach in these patients is lip closure. Key words:Epidemiology, cleft lip and palate, surgical missions.
Cognitive Function and the Relationship With Health Literacy and Secondary Prevention in Patients With Acute Coronary Syndrome at Early Discharge

Background Cognitive impairment (CI) may contribute to difficulties in understanding and implementing secondary prevention behavior change after acute coronary syndrome (ACS), but the association is poorly understood. Objectives The aim of this study was to explore the prevalence of CI in patients 4 weeks post ACS and the association with health literacy and secondary prevention. Methods Patients with ACS who were free from visual deficits, auditory impairment, and dementia diagnoses were recruited and assessed 4 weeks post discharge for cognitive function (Montreal Cognitive Assessment and Hopkins Verbal Learning Test), health literacy (Newest Vital Sign), depression (Patient Health Questionnaire), physical activity (Fitbit Activity Tracker and Physical Activity Scale for the Elderly), and medication knowledge and adherence. Results Participants (n = 45) had an average age of 65 ± 11 years, 82% were male, 64% were married/partnered, and 82% had high school education or higher. Overall CI was identified in 28.9% (n = 13/45) of the patients 4 weeks after discharge, which was composed of patients detected on both the Montreal Cognitive Assessment and Hopkins Verbal Learning Test (n = 3), patients detected on Montreal Cognitive Assessment alone (n = 6), and patients detected on Hopkins Verbal Learning Test alone (n = 4). Fewer patients with CI had adequate health literacy (61.4%) than patients with normal cognition (90.3%, P = .024). Significant correlations were found between Hopkins Verbal Learning Test scores and medication knowledge (0.4, P = .008) and adherence (0.33, P = .029). Conclusions In this exploratory study, 30% of patients with ACS demonstrated CI at 4 weeks post discharge. Two screening instruments were required to identify all cases. Cognitive impairment was significantly associated with health literacy and worth further investigation.
Structure and Large‐Scale Organization of Extreme Cold Wave Events Over the Chinese Mainland During the Boreal Cold Season

Recent changes in the Earth's climate have led to renewed interest in extreme cold wave (ECW) events. This study identifies the ECW patterns over the Chinese mainland, their corresponding large‐scale meteorological patterns (LMPs) and their favorable planetary wave patterns over 1961–2015. A self‐organizing map classifies ECWs into northeast, nationwide, northwest–south and Qinghai–Tibetan Plateau clusters. The cold anomalies are primarily contributed by the anomalous wind advecting climatological mean temperature for the leading three clusters, but diabaitic heating for the Qinghai–Tibetan Plateau cluster. The associated LMPs are primarily characterized by a dipole with a positive height anomaly over Siberia and a negative height anomaly extending from Japan to the Iranian Plateau, which displaces southwestward among the four ECW clusters. The LMPs induce anomalous northerly flows extending from the upper troposphere to the near‐surface, which deepen the negative height anomaly southwestward from the East Asian trough and accumulate cold air masses over the key regions within the dipole that are phase‐locked with the LMPs (i.e., baroclinic growth). Such baroclinic growth of the LMP is larger during periods of a planetary wave (wavenumbers 1–5) resembling the Northern Annular Mode (NAM). Meanwhile, the negative (positive) phase of the NAM provides more direct contribution to the LMP of the northeast and nationwide (Qinghai‐Tibetan Plateau) ECW clusters and thus are likely to favor the occurrence of ECWs. The negative phase of NAM‐like planetary waves exhibit a positive trend after the transition year of 1987, and could potentially increase the occurrence frequency of nationwide ECWs.
A Statistical Approach for Modeling Individual Vertical Walking Forces

This paper proposes a statistical approach for modeling vertical walking forces induced by single pedestrians. To account for the random nature of human walking, the individual vertical walking force is modeled as a series of steps and the gait parameters are assumed to vary at each step. Walking parameters are statistically calibrated with respect to the results of experimental tests performed with a force plate system. Results showed that the walking parameters change during walking and are correlated with each other. The force model proposed in this paper is a step-by-step model based on the description of the multivariate distribution of the walking features through a Gaussian Mixture model. The performance of the proposed model is compared to that of a simplified load model and of two force models proposed in the literature in a numerical case study. Results demonstrate the importance of an accurate modeling of both the single step force and the variability of the individual walking force.
Amplified O-band direct-detection transmission using bismuth-doped fiber amplifiers

The recent emergence of bismuth-doped fiber amplifiers (BDFAs) enables the reach extension of high-speed O-band communication links. In this work, our recent efforts on amplified O-band direct-detection (DD) transmission using BDFAs are reviewed. We first present the performance of a four-channel O-band coarse wavelength-division multiplexed (CWDM) transmission over 50-km length of single-mode fiber (SMF), showing that the chromatic dispersion (CD) which has long been neglected in O-band transmission, will degrade the transmission performance of dispersive O-band channels. In this context, we quantify the relative benefits of different DD formats at 50 Gb/s over up to 70-km length of SMF in a BDFA pre-amplified O-band system. The considered formats include Nyquist on-off keying (OOK), Nyquist 4-ary pulse amplitude modulation (PAM4), and Kramers–Kronig (KK) detection assisted subcarrier modulation using quadrature phase-shift keying (QPSK), and they are evaluated over both the low CD 1320-nm wavelength and the more dispersive 1360-nm wavelength. It is demonstrated that OOK exhibits the best receiver sensitivity over all distances up to 70 km at the 1320-nm channel, whereas KK-QPSK achieves the optimal transmission performance at the 1360-nm wavelength when the reach is extended beyond 50 km. We consider that our results provide useful insights into possible future implementations of longer-reach O-band WDM systems.
Teaching and Promoting Generalization of Peer Imitation With Preschoolers With Disabilities

Researchers have identified effective instructional strategies for teaching peer imitation, including embedded classroom-based interventions. However, there is a dearth of strategies that have been effective for teaching generalization of imitation skills to novel contexts. Building on previous research, we examined the use of progressive time delay to increase peer imitation in the context of a play activity for four preschoolers with disabilities. We conducted preference and reinforcer assessments to identify effective reinforcers for each child prior to intervention. We conducted a multiple baseline across participants design meeting contemporary single case standards and used visual analysis to identify a functional relation: the intervention package was associated with an increase in the participants’ peer imitation in training contexts. The intervention also led to levels of peer imitation comparable to those of typically developing peers, as measured by a normative peer sample, and generalization to novel contexts.
Reverberation Suppression Method for Active Sonar Systems Using Non-negative Matrix Factorization with Pre-trained Frequency Basis Matrix

In active sonar systems, detection always suffers from reverberation interference from multiple scatterers in oceanic environments; therefore, numerous studies have been conducted on reverberation suppression. Recently, a non-negative matrix factorization (NMF)-based method was proposed and successfully applied to reverberation suppression. However, the conventional NMF-based method makes convergence challenging because the frequency basis matrix is initialized without considering reverberation characteristic information from oceanic environments. To solve these problems, We propose an improved NMF-based reverberation suppression method adopting a pre-trained reverberation basis matrix and modified sparse update rule. The proposed method is evaluated by analyzing simulation and sea experiment data and the study confirmed that the detection performance was improved compared to the conventional method under various signal-to-reverberation ratio conditions. Several topics are also discussed to analyze the proposed method in detail.
A comparison of deep learning algorithms on image data for detecting floodwater on roadways

Object detection and segmentation algorithms evolved significantly in the last decade. Simultaneous object detection and segmentation paved the way for real-time applications such as autonomous driving. Detection and segmentation of (partially) flooded roadways are essential inputs for vehicle routing and traffic management systems. This paper proposes an automatic floodwater detection and segmentation method utilizing the Mask Region-Based Convolutional Neural Networks (Mask-R-CNN) and Generative Adversarial Networks (GAN) algorithms. To train the model, manually labeled images with urban, suburban, and natural settings are used. The performances of the algorithms are assessed in accurately detecting the floodwater captured in images. The results show that the proposed Mask-R-CNN-based floodwater detection and segmentation outperform previous studies, whereas the GAN-based model has a straightforward implementation compared to other models.
THE EFFECT OF PERFORMANCE EXPECTANCY, EFFORT EXPECTANCY, FACILITATING CONDITIONS, AND BEHAVIOR ON ADOPTION OF EGOVERNMENT TRANSFORMATION IN DISTANBUN ACEH OFFICE EMPLOYEES WITH AGE AND WORKING PERIOD AS MODERATION VARIABLES

The application of e-government in government agencies such as the Aceh Agriculture and Plantation Office (Distanbun Aceh Office) certainly requires the support of information technology infrastructure. The importance of information technology infrastructure in supporting the implementation of e-government is because the application of e-government requires the availability of information technology as an important determinant in supporting the program. The purpose of this study is to see the effect of performance expectancy, effort expectancy, facilitating conditions, and user behavior on the e-government transformation adoption with age and working period as moderating variables at the Distanbun Aceh Office. The population was all employees of the Distanbun Aceh Office, totaling 695 people. Sampling was carried out using proportional stratified random sampling technique to all employees at each Distanbun Aceh Office while the minimum number of samples was determined using the Slovin formula. The results showed that out of 4 direct hypotheses, 3 were accepted and 1 hypothesis was not significant, namely testing the effect of Facilitator Conditions on e-Government transformation adoption. The results of testing the moderation hypothesis of age and working period for the full model proved that there were significant differences between young and old groups, and high and low working periods in responding to managerial initiations related to Performance Expectancy, Effort Expectancy, Facilitating Condition, and User Behavior on the application of E-Government. So these findings imply that in the model of increasing e-government transformation adoption at Distanbun Aceh, Performance Expectancy, Effort Expectancy, and User Behavior are the 3 determining factors, and also the implementation of strengthening these three factors must consider differences in age and working period of employees, so that increasing e-government transformation adoption can be maximized.
Influence of Chlorhexidine and Cetylpyridine on Periodontal Status and Indicators of Oxidative Stress in Patients with Type 1 Diabetes

Objective: One of the treatment goals in type 1 diabetes and periodontitis is to address chronic inflammation to prevent the development of neurovascular complications. The aim of this study was to assess the local anti-inflammatory effects of chlorhexidine digluconate and cetylpyridine chloride on periodontal status and indicators of oxidative stress in saliva in patients with type 1 diabetes. Materials and Methods: A total of 42 subjects aged 27 (interquartile range, IQR 22–35) years, with type 1 diabetes for a duration of 12 (IQR 9–18) years, and glycated hemoglobin 8.05 (IQR 7.1–9.4)% were included. Patients were examined twice—initially, and after 14 days of using toothpaste with chlorhexidine and cetylpyridine. Clinical examination of gingival tissues was performed. Certain oxidative stress markers (TP, TEAC, TBARS, AOPP) were measured in the saliva samples. Results: There were significant changes in clinical indicators of periodontal status before and after the application of the toothpaste (API before 0.35 (0.24–0.65) vs. API after 0.265 (0.18–0.39), p = 0.03; SBI before 0.07 (0.04–0.15) vs. SBI after 0.035 (0-0.06), p = 0.002; GI before 0.88 (0.46–1) vs. GI after 0.67 (0.25–1), p = 0.0008). The concentration of saliva TBARS decreased (p = 0.00005) and TEAC increased (p = 0.09). Conclusion: Proper oral hygiene supported by antibacterial chemicals may improve the periodontal status and reduce inflammation.
ANALYSIS ON IMPOSITION OF SAFEGUARD MEASURE AND ADMINISTRATIVE SANCTION AGAINST TAX EVASION OF TEXTILES TAX AND TEXTILES PRODUCT IN INDONESIA

Import of textile product which keep getting higher has caused serious injury to the domestic textile industry, as an effort to protect domestic industry government has imposed additional import duty in form of safeguard duty for import of textile product. Introduction of safeguard duty is expected to give domestic industry an opportunity to adjust itself for competing with import product, but the establishment of safeguard duty for textile product is thought to be the trigger for tax evasion on import of textile product, against this violation government impose administrative sanction. The purpose of this research is to analyze the effect of safeguard duty imposition and administration sanction on tax evasion. Object of this research is all import activity on textiles product which has been imposed safeguard duty and committing administrative violation since the establishment of safeguard duty for textile product beginning on November 2019 till October 2020. Regression technique used is ordinary least square regression to regress cross section data. Research conclusion find that safeguard duty introduction significantly affecting tax evasion while administrative sanction didn’t have significant effect on reducing tax evasion. Keywords: textile product, safeguard duty, administration sanction, tax evasion.
Noteworthy records of Philippine endemic gingers (Zingiberaceae) in the buffer zone of Mt. Hamiguitan Range Wildlife Sanctuary, Davao Oriental, Philippines

Three Philippine endemic gingers, Alpinia rufa C.Presl, Etlingera dalican (Elmer) A.D.Poulsen and Globba campsophylla K.Schum. are reported for the first time in the province of Davao Oriental, specifically in the buffer zone of the Mt. Hamiguitan Range Wildlife Sanctuary, Sitio Tumalite, Barangay La Union, San Isidro, Davao Oriental, Philippines. Full descriptions of these species, phenology, notes on local names, ethno-medicinal usage, availability status, propagation and habitat ecology along with their photographs are
DNAzymes, Novel Therapeutic Agents in Cancer Therapy: A Review of Concepts to Applications

The past few decades have witnessed a rapid evolution in cancer drug research which is aimed at developing active biological interventions to regulate cancer-specific molecular targets. Nucleic acid-based therapeutics, including ribozymes, antisense oligonucleotides, small interference RNA (siRNA), aptamer, and DNAzymes, have emerged as promising candidates regulating cancer-specific genes at either the transcriptional or posttranscriptional level. Gene-specific catalytic DNA molecules, or DNAzymes, have shown promise as a therapeutic intervention against cancer in various in vitro and in vivo models, expediting towards clinical applications. DNAzymes are single-stranded catalytic DNA that has not been observed in nature, and they are synthesized through in vitro selection processes from a large pool of random DNA libraries. The intrinsic properties of DNAzymes like small molecular weight, higher stability, excellent programmability, diversity, and low cost have brought them to the forefront of the nucleic acid-based therapeutic arsenal available for cancers. In recent years, considerable efforts have been undertaken to assess a variety of DNAzymes against different cancers. However, their therapeutic application is constrained by the low delivery efficiency, cellular uptake, and target detection within the tumour microenvironment. Thus, there is a pursuit to identify efficient delivery methods in vivo before the full potential of DNAzymes in cancer therapy is realized. In this light, a review of the recent advances in the use of DNAzymes against cancers in preclinical and clinical settings is valuable to understand its potential as effective cancer therapy. We have thus sought to firstly provide a brief overview of construction and recent improvements in the design of DNAzymes. Secondly, this review stipulates the efficacy, safety, and tolerability of DNAzymes developed against major hallmarks of cancers tested in preclinical and clinical settings. Lastly, the recent advances in DNAzyme delivery systems along with the challenges and prospects for the clinical application of DNAzymes as cancer therapy are also discussed.
CPNE3 regulates the cell proliferation and apoptosis in human Glioblastoma via the activation of PI3K/AKT signaling pathway

Background: Even with decades of intensive study, the signaling regulative network of the progression of Glioblastoma (GBM) remains unclear, a deeper understanding of the molecular crosstalk with pathways in GBM is needed to identify new potential targets for treatment. Copine-3 (CPNE3) was a member of a Ga2+ -dependent phospholipid-binding protein and was reported to play a role in multiple cancers. Methods: To investigate the expression of CPNE3 in GBM, we applied bioinformatic analysis and clinical samples validation. Then the functional validation of carried out in commercially available glioma cell lines and nude mice model. Also, the GSEA analysis was used to identify the relevant pathways. The role of activated pathway was further validated by pharmacology method. Results: We found that CPNE3 was significantly up-regulated in GBM when compared with adjacent normal tissues, and the overexpression of CPNE3 promoted cell proliferation and inhibiting cell apoptosis in vitro and in vivo. Also, the principal protein markers of PI3K/AKT pathway were found to be phosphorylated by CPNE3 over-expression, and pathway inhibitor, LY294002, alleviated the cell proliferation enhancement induced by CPNE3 over-expression. Conclusion: Our results showed that the expression of CPNE3 promotes cell proliferation by inhibiting cell apoptosis via activating PI3K/AKT pathway. Thereby enhancing the progression of GBM, which suggest that CPNE3 may play as a tumorigenesis gene may become a promising potential therapeutic target for human GBMs.