bluuebunny/crossref_metadata_2025 huggingface dataset:
Data-driven Uncertainty Quantification Framework in Metal Additive Manufacturing
Authors: Lee Junhee , Jadhav Sainand , Kim Duck Bong , Ko Kwang Hee
Published: October 2022

This paper presents the uncertainty quantification (UQ) framework with a data-driven approach using experimental data in metal additive manufacturing (AM). This framework consists of four steps. First, the experimental data, including process parameters and signatures, are obtained by performing tests in various conditions. Next, the model is constructed by surrogate modeling and a machine learning algorithm using the obtained data. Then, the uncertainties in a quantity of interest (QoI), such as bead geometry, surface roughness, or mechanical properties, are quantified. Lastly, the UQ is verified and validated using the experimental data. The proposed framework is demonstrated with the data-driven UQ of the bead geometry in gas tungsten arc welding (GTAW)-based wire + arc additive manufacturing (WAAM). In this case study, the uncertainty sources are process parameters and signatures, and the QoI is bead geometry. The process parameters are wire feed rate (WFR), travel speed (TS), and current, while the process signatures are voltage-related features. The bead geometry includes the width and height of single-beads. The results of the case study revealed that (1) verifying and validating the data-driven UQ of bead geometry with the normal beads was conducted, and the predicted values were within the 99% confidence intervals, (2) the bead width was negatively correlated with TS, and (3) the bead height had a positive and negative correlation with WFR and TS, respectively.
Prevalence of Chronic Kidney Disease among residents aged 30 to 70 years in Sri Lanka
Authors: Hettiarachchi *Ramya , Abeysena Chrishantha
Published: October 2022

Background: Chronic Kidney Disease (CKD) has been identified as a major public health problem for the past few decades. The study aimed to determine the prevalence CKD.
Methods: A descriptive cross-sectional study was conducted using the multistage cluster sampling technique. Study participants were 767 adults of 30 to 70 years. The estimated glomerular filtration rate (eGFR) was estimated using the CKD EPI equation. eGFR values below 60 mL/min/1.73 m2 for more than three months or eGFR values >60 mL/min/1.73 m2 with evidence of renal damage persistent for more than three months was defined as CKD. Presence of proteinuria with urine protein creatinine >20mg/mmol was defined as the evidence for kidney damage. Median and mean eGFR of the sample was calculated. Prevalence of CKD, proteinuria and suspected CKDu were described with 95% confidence intervals (CI).
Results: Median eGFR of the males was 92.0 ml/min/1.73m² (IQR: 80.0-102.7) while mean eGFR of them was 91.01 ml/min/1.73m² (SD=16.4). Median eGFR of the females was 93.0 ml/min/1.73m² (IQR:82.0-104.0) while mean eGFR of them was 92.62 ml/min/1.73m²(SD=16.0).
The prevalence of confirmed severe proteinuria (>50mg/mmol) and moderate proteinuria (≥15mg /mmol creatinine to ≤50mg/mmol) was 3.2 % (95%CI;1.9%-4.4%), and 3.8% (95%CI;2.4%-5.1%) respectively.
The prevalence of confirmed CKD was 8.2% (95%CI;6.4%-10.4%). The prevalence of confirmed stage one or stage two CKD was 5.6% (95%CI;4.1%-7.1%) and stage >3 was 2.6% (95% CI=1.6%-4.0%). There was a statistically significant difference in the prevalence of CKD between people of 51 to 70 years and 30 to 50 years (p<0.001) of age. The prevalence of CKD was not associated with the sex (p=0.07), ethnicity (p=0.31), area of living (urban or rural) (p=0.52). The prevalence of CKD was 6.4% (95%CI;4.8%-8.4%) among the patients who had any co-morbidity and 1.8% (95%CI;1.0%-3.0%) among those who have no co-morbidity. The prevalence of suspected CKDu was 2.1% (95% CI: 1.2%-3.4%).
Conclusions: Higher prevalence of confirmed CKD patients was in either stage one or two, older age and who had any co-morbidity.
Testing of Solid State Defects With Different Magnetic Properties in Dielectric Structures by the Parameters of Electromagnetic Response to Acoustic Excitation
Authors: Bespal’ko A. A. , Isaev Yu. N. , Dann D. D. , Fedotov P. I. , Petrov M. V. , Pomishin E. K.
Published: October 2022

The paper presents the measurement results for parameters of the electromagnetic response to deterministic acoustic excitation of magnetite ore samples and model samples of cement-sand and cement-glass mixtures with inclusions of ferrite magnet, magnetite ore, brass and duralumin, including that in the magnetic field. The possibility of testing the characteristics of magnetizable solid-state defects by electromagnetic signal parameters is shown. The dependences of the amplitude of electromagnetic responses to external pulsed acoustic excitation are given. The impact of changes in the direction of the constant magnetic field applied to the sample with a magnetite ore defect on parameters of electromagnetic responses is shown. It was revealed that changes in the strength of the external constant magnetic field under acoustic excitation significantly affect the amplitude of the electromagnetic signal of magnetite ore. The obtained patterns can be used for objective hardware determination of the content of magnetizable defects in the test dielectric structure, and the content of magnetite ore in rock cores.
Impact of cod liver oil consumption in infants and children: A systematic review
Authors: Sasie Sileshi Demelash , Abayneh Aschalew , Wodajo Berhanu , Azage Muluken , Aragaw Fantu Mamo
Published: October 2022

Background

Cod liver oil (CLO) is a nutritional supplement derived from liver of cod fish. It has high level of the omega-3 fatty acids, eicosapentaenoic acid, and docosahexaenoic acid, and very high levels of vitamins A, D, and E. Supplementing cod liver oil for infant and children is associated with many health benefits such as decreased risk of upper respiratory tract infection, better visual development, and decreases chance of developing Type 1 diabetes. The main aim of this review is to assess the impact of codliver oil consumption in children’s and infants.

Methods

We used databases PubMed/MEDLINE, CINHAL and Cochrane library and other sources like Goggle and Goggle scholar. All searches were limited to English language without restriction for publication year. All studies identified through different databases combined, exported and managed using Endnote X9.1 software. Information’s such as Authors, study location, publication year, study design, sample size, comparison group and reported outcomes was extracted.

Result

From the results of this review, we can conclude that Cod liver oil is very important for children in many aspects. It reduces the risk of type 1 diabetes, through the anti-inflammatory effects of long-chain omega 3 fatty acids. It also decreases in upper respiratory tract pediatric visits during the winter and early spring. It also supports normal brain development and functioning and vision during the prenatal period and throughout infancy and childhood. Consumption of codliver oil is also useful in reducing the symptoms of ADHD in children.

Conclusion

As a conclusion, Cod liver oil is very important to health of children since it contains omega-3 fatty acids and vitamins A, D, and E. Cod liver oil is important in reducing risk of type 1 diabetes, upper respiratory tract pediatric visit and ADHD. Cod liver oil is crucial for fetal brain development and enhancement of IQ score, and fetal visual development. More attention to this important nutrient by the concerned body may lead to improved dietary supplements and prevention of many diseases in children.
Carnitine palmitoyltransferase 1A promotes mitochondrial fission by enhancing MFF succinylation in ovarian cancer
Authors: Shao Huanjie , Zhu Yaqin , Wang Yue , Li Ying , Li Zhongqi , Kong Wenhui , Zhao Xiaoxuan , Chen Shuting , Yan Liting , Wang Lenan , Tong Yunli
Published: October 2022

Mitochondria are dynamic organelles and important for cell growth and proliferation. Dysregulated mitochondrial dynamics are highly associated with the initiation and progression of various cancers, including ovarian cancer. However, the regulatory mechanism underlying mitochondrial dynamics is still unclear and needs to be further studied. Previously, our study showed that Carnitine palmitoyltransferase 1A (CPT1A) is highly expressed in ovarian cancer cells and promotes the development of ovarian cancer. Here, we found that CPT1A regulates mitochondrial dynamics and promotes mitochondrial fission in ovarian cancer cells. Further study showed that CPT1A regulates mitochondrial fission and function through MFF to promote the growth and proliferation of ovarian cancer cells. Mechanistically, CPT1A promotes succinylation of MFF at lysine 302 (K302), which protects against Parkin-mediated ubiquitin-proteasomal degradation of MFF. Finally, the study showed that MFF was highly expressed in ovarian cancer cells and that high MFF expression is associated with poor prognosis in patients with ovarian cancer. MFF inhibition significantly inhibited the progression of ovarian cancer in vivo. Together, CPT1A regulates mitochondrial dynamics through MFF succinylation to promote the development of ovarian cancer. And MFF is a potential therapeutic target for ovarian cancer.
Spider Web Based Dynamic Key for Secured Transmission and Data Aware Blockchain Encryption for Internet of Things
Authors: ANWAR A MOHAMED , PAVALARAJAN S
Published: October 2022

In the developed field of information and communication systems, the utilization of wireless sensor networks (WSN) is greatly increasing. In WSN applications, data gathering with limited energy consumption and good security is essentially needed nowadays. The network is energy limited as the sensor nodes are operated using battery power. The nodes in WSN are vulnerable to several attacks and the proposed data transmission scheme should provide network security. The security is a main concern in data aggregation. In this work, a secured data aggregation scheme with compression technique and blockchain encryption added routing is presented. The existing methods on secured data aggregation give protection against attacks; still they suffer from issues such as energy, memory size and transmission costs. The devices in the network transmit data to the base station/server in the network through gateways. The data transmitted by the device is added with a hash key generated using spider web based dynamic key (SWDK) generation process. Then, compression based data aggregation is utilized to reduce the data size and sequentially the transmission cost. The security added compressed data is transmitted using block chain encryption routing. The simulation results prove that the proposed work gives reduced transmission cost and energy consumption comparing with the existing works. The network throughput increases due to the sharing security keys, as well as network latency and packet dropping are reduced in the proposed work.
Free-Floating Dynamic Material Removal Mechanism
Authors: Zhang Xin , Zhang Xueping
Published: October 2022

Honing is an abrasive-based superfinishing process to generate desired dimensional accuracy and functional surface texture. To predict dimensional accuracy of honed components, it is necessary to address and establish an accurate material removal model. However, honing operation differs from other abrasive-based material removal processes such as grinding and polishing in terms of its unique dynamic floating characteristic in the finishing of hole parts such as cylinder bore, adding complexity and difficulty when constructing material removal models. The existing material removal
models concerning honing tend to consider the effects of honing trajectory density, pressure, speed and oilstone properties, which are, in essence, the static analysis and ignores the free-floating of honing tools. Therefore, the paper proposed an original honing material removal model based on minimum energy principle to incorporate the effect of free-floating characteristic of honing tool inside hole parts into model. In minimizing constructed objective function 𝐹𝑜𝑏𝑗𝑒𝑐𝑡𝑖𝑣𝑒 from material removal matrixes of all oilstones distributing on honing head, the model identified the stable spatial position of honing head inside cylinder bore after free-floating, based on which, the material removal matrix corresponding to each oilstone can be identified. Thus, the oilstones’ material cutting processes are dynamically connected with each other, overcoming the static and independent analysis for existing researches. To validate the authenticity and credibility of proposed model, the single stage honing experiment was conducted, and the results showed that simulated inner wall profile after honing using proposed material removal model presented consistency with experimental results in terms of bore diameter enlarging effect and inner wall profile error reflection effect. Furthermore, the simulated results predicted leveling effect for inner wall profile to improve roundness and cylindricity error of cylinder bore, which is the fundamental mechanism of honing but not observed in experiments due to possible exterior errors introduced
Coverage and factors influencing uptake of the optimal dose of intermittent preventive treatment with sulfadoxine-pyrimethamine in rural areas before the adoption of the new World Health Organization guidelines in Burkina Faso
Authors: Cissé Bakary , Cissé Mamoudou , Sirima Constant , Ouattara Cheick Hamed , Tapsoba Wendpouiré Lydie Carine , Traoré Isidore
Published: October 2022

Background
Malaria in pregnancy is a major public health problem in developing countries, with a high impact on maternal and child morbidity and mortality. Intermittent Preventive Treatment with Sulfadoxine-Pyrimethamine during pregnancy (IPTp-SP) is one of the strategies recommended by the World Health Organization (WHO) to fight against this flail. However, data on its use in rural Burkina Faso are scarce. The aim of our study was to determine the coverage and factors associated with uptake of the optimal dose (2 doses) of IPTp-SP in the Rural Health District of Houndé before the adoption of the new WHO guidelines.
Methods
A cross-sectional study was conducted from 1 January 2006 to 31 December 2012 among 7188 pregnant women who showed up at least once for an antenatal consultation (ANC) in five rural primary healthcare centres in Health District of Houndé and for whom information on dispensation was available. Sociodemographic and IPTp-SP data were collected from ANC registries using a structured collection form. Factors influencing uptake of the optimal dose of IPTp-SP were explored using logistic regression.
Results
A total of 5103 pregnant women out of 7188 (70.99%) had met the optimal dose of IPTp-SP recommended by WHO. Half of them had performed at most 3 ANCs. The median age of the participants was 24 years (IQR: [20–28]). Having performed a least 4 ANCs was associated with compliance (adjusted odds ratio [95% CI] = 1.66 [1.48–1.88]), but also compliance with the optimal dose varied significantly between primary healthcare centres (p < 0.001)
Conclusion
We found that from 2006 to 2012, the uptake of optimal IPTp-SP doses was low in Houndé. The target of 80% coverage of the optimal dose of IPTg-SP was not achieved in rural areas before the new WHO guidelines were adopted. Strategies must be adopted to encourage women to perform ANC and to make sexual and reproductive health services more accessible.
Effects of dissolved organic matter derived from cow manure on heavy metal (loid)s and bacterial community dynamics in mercury-thallium mining waste slag
Authors: He Yu , Luo Youfa , Wei Chaoxiao , Long Licui , Wang Chi , Wu Yonggui
Published: October 2022

Organic amendments in aided phytostabilization of waste slag contain high levels of heavy metal (loid)s (HMs) is an important way to in situ control the release of HMs. However, the effects of dissolved organic matter (DOM) derived from organic amendments on HMs and microbial community dynamics in waste slag are still unclear. The results showed that the mercury (Hg)- thallium (Tl) mining waste slag without the addition of DOM continuously decreased pH and increased EC, Eh, SO42−, Hg, and Tl in the leachate with increasing incubation time. The addition of DOM significantly increased pH, EC, SO42−, and arsenic (As) but decreased Eh, Hg, and Tl. The addition of DOM significantly increased the diversity and richness of the bacterial community. The dominant bacterial phyla (Proteobacteria, Firmicutes, Acidobacteriota, Actinobacteriota, and Bacteroidota) and genera (Bacillus, Acinetobacter, Delftia, Sphingomonas, and Enterobacter) were changed in associated with increases in DOM content and incubation time. The DOM components in leachate were humic-like substances (C1 and C2), and the DOM content and maximum fluorescence intensity (FMax) values of components C1 and C2 in the leachate decreased and first increased and then decreased with increasing incubation time. The correlations between HMs and DOM and the bacterial community showed that the geochemical behaviours of HMs in Hg-Tl mining waste slag were directly influenced by DOM properties and indirectly influenced by DOM regulation of bacterial community changes. Overall, these results indicated that DOM properties associated with bacterial community changes increased As but decreased Hg and Tl mobilization from Hg-Tl mining waste slag.
Spectrum-sliced wavelength division multiplexing based free space optical communication employing Differential quadrature phase-shift keying
Authors: Yarra Naga Subrahmanya Vamsi Mohan , A Sivanantha Raja
Published: October 2022

With the motive to reduce the high cost incurred in Wavelength division multiplexing (WDM) based free-space optics (FSO) communication system, Spectrum-sliced (SS) WDM based FSO communication system at a data rate of 2.5 Gbps per channel is proposed in this research article. Utilizing the broadening of the spectrum by means of supercontinuum generation in a highly non linear Fiber (HNLF), an economical SS-WDM based FSO system is designed. The narrow spectrum of laser light source is broadened by means of self phase modulation (SPM). The proposed work confirms that the DQPSK based SS-WDM FSO system has higher performance in terms of Q-factor and BER compared to other intensity modulation formats as well as differential phase modulation formats. Considering various values of FSO link distances, antenna diameters of transmitter and receiver, beam divergence and thus, determining the values of Q-factor and BER, Differential quadrature phase shift keying (DQPSK) based SS-WDM FSO system is simulated.
Prognostic analysis of three forms of Ki-67 in patients with breast cancer with non-pathological complete response before and after neoadjuvant systemic treatment.
Authors: Zhang Weiwei , Xu Yinggang , Wang Ye , He Jinzhi , Chen Rui , Wan Xinyu , Shi Wenjie , Huang Xiaofeng , Wang Jue , Zha Xiaoming
Published: October 2022

Purpose Patients who do not achieve pathological complete response (pCR) after neoadjuvant systemic treatment (NST) have a significantly worse prognosis. To date, the prognostic role in terms of disease-free survival (DFS) between the terminal index of Ki-67 after surgery (Ki-67T) and the combination of the baseline Ki-67 at biopsy before NST (Ki-67B) and the percentage change of Ki-67 before and after NST (Ki-67C) has not been compared. Methods We retrospectively reviewed 499 patients who were diagnosed with breast cancer from August 2013 to December 2020 and then received NST with anthracycline plus taxane. Results Among all patients, 335 patients did not achieve pCR. The median follow-up was 36 months. The optimal cut-off value of Ki-67Cto predict a DFS was 30%. A significantly worse DFS was observed in patients with low Ki-67C. The exploratory subgroup analysis also showed relatively good internal consistency. Clinical lymph node status, Ki-67C, and Ki-67Twere considered independent risk factors for DFS. Patients with a low Ki-67Brespond differently to chemotherapy, and those who are sensitive to chemotherapy have a relatively good prognosis. The forecasting model of combining Ki-67Band Ki-67Cshows a statistically significant higher area under the curve at year 3 and 5 than Ki-67T. Conclusion Ki-67Cand Ki-67Tare good predictors of DFS, while Ki-67Bis inferior. The DFS of patients with low Ki-67Bbut low Ki-67Cis not very satisfactory, and this patient population must not be neglected. Additionally, the combination of Ki-67Band Ki-67Cis superior to Ki-67Tin predicting DFS.
The intelligent mathematic method in track excitation calculation of monorail based on vehicle signals
Authors: Jiang Yongzhi , Zhang Shixin , Chen Ping , Wu Pingbo , Zeng Jing , Jiang Long
Published: October 2022

This paper put forward an indirect method to measure the road irregularities of the monorail. Parallel computation, fused with the genetic algorithm, is used to calculate road irregularities and detect wheel failure. By intelligently modifying the vehicle parameters, the multi-rigid body model's simulation result could be close to the test data. This method overcomes the problem that the transfer function cannot be applied to the nonlinear system and the shortcoming of significant errors in the simplification process of the mathematical derivation method. Besides, it improves the traditional algorithm to shorten the calculation time and benefit big data processing. The application of the artificial intelligence method, which includes the intelligent detection of the wheel eccentricity, the brilliant weighing of human subjective judgment, the intelligent matching of the peak frequency signals of the simulation and test data, and so on, could be the highlights of this paper. The result shows the road irregularities calculated in this paper are in good agreement with that theoretical value.
The Relationship Between the Preterm Infant Gut Microbiome and Later Childhood Behavior
Authors: Dutra Samia , McSkimming Daniel , Sarkar Anujit , Ji Ming , Shaffer Emily , Yoo Ji Youn , Gordon Jessica , Groer Maureen
Published: October 2022

Background and Objectives
Very Low Birth Weight (VLBW) infants, born weighing less than 1500 grams, are at risk for both gut dysbiosis and later neuropsychological developmental deficits. With gut dysbiosis there is a disequilibrium of the gut microbial community. The Gammaproteobacteriadominated gut dysbiosis in VLBW infants likely results from a combination of immaturity derived from interrupted intrauterine development and environmental exposures in the Neonatal Intensive Care Unit (NICU) after birth. The extent of later neurobehavioral consequences associated with such microbial dysbiosis have yet to be determined.
Methods
We explored associations between the infants’ gut microbiome richness, diversity, composition, and network and early childhood behavior at 2 and 4 years of age in 25 children who were previously preterm born and studied while hospitalized in the Neonatal Intensive Care Unit (NICU). Behavior was measured with the Child Behavior Checklist (CBCL) at home visits at 32.2+/-4.8 months, and again at 49 +-3.6 months. We also measured children’s microbiomes at 2 and 4 years of age.
Results
The diversity and richness of the gut microbiome in VLBW infants were associated with later parent-reported maladaptive behavioral and emotional symptoms, including symptoms associated with autism, anxiety, Attention-Deficit/Hyperactivity Disorder (ADD), attention problems, and aggressive behavior. Microbiome compositional signatures were also associated with later childhood behavior. Network analysis revealed that the microbiome networks differed in the children at 2 and 4 years of age and different amplicon sequence variants (ASVs) were associated with behavior at these timepoints.
Conclusions
These data provide preliminary support for relationships between both the VLBW and later child gut microbiome dysbiosis and childhood behavior.
Prediction of sub-pyramid texturing as the next step towards high efficiency silicon heterojunction solar cells
Authors: Chu Feihong , Qu Xianlin , He Yongcai , Li Wenling , Chen Xiaoqing , Zheng Zilong , Yang Miao , Ru Xiaoning , Peng Fuguo , Qu Minghao , Zheng Kun , Xu Xixiang , Yan Hui , Zhang Yongzhe
Published: October 2022

Over the past few decades, silicon-based solar cells have dominated the photovoltaic industry, and the interfacial morphology of crystalline silicon/amorphous silicon (c-Si/a-Si) is a key success factor to approach the theoretical efficiency of Si-based solar cells, especially Si heterojunction (SHJ) technology. One of the major issues plaguing the SHJ development, is the unexpected c-Si epitaxial growth and nanotwins formation at c-Si/a-Si interface. By a combination of atomic-resolution high-angle annular dark field scanning transmission electron microscope (HAADF-STEM) images and in-situ high resolution transmission electron microscope (HRTEM), we obtained new finding in high-efficiency SHJ industrial devices, and simulated c-Si/a-Si interfacial morphology. Employing microsecond-long low-temperature (500 K) molecular dynamic simulations, we proposed a new strategy to prevent from both c-Si epitaxial growth and nanotwin formation, that the texture should have a decreased pyramid apex-angle (slightly smaller than 70.53°) in SHJ solar cells. The new apex-angle consists of hybrid (111)0.9/(011)0.1 c-Si planes, rather than pure (111) planes in conventional texture pyramid. The nature of the hybrid c-Si plane is low-energy c-Si/a-Si interface, which is unfavorable for either epitaxial c-Si growth or nanotwins formation. More importantly, given there is not any additional industrial preparation process, the new design of hybrid c-Si plane could improve c-Si/a-Si interfacial morphology for a-Si passivated contacts technique, and wide-applied for all silicon-based (single-junction and tandem) solar cells as well.
A Most Peculiar Interferometer
Authors: Korula Aswan
Published: October 2022

In this paper we conduct a simple experiment wherein we create a wave within a circular container and analyse the interference patterns generated by the reflections from the boundary. In doing so we observe constructive interference in positions in space where our current wave theory predicts noise. This result demonstrates that in the particular situation presented here, the velocities of a wave before and after reflection from a solid boundary, are unequal. Analysing these peculiar events, we explore theoretical and observational equivalencies between our water wave experiment and the Michelson-Morley experiment of 1887.
Dynamics of biodiversity loss and financial system stability nexus in developing countries
Authors: R. Okoyeuzu Chinwe , I. Ukpere Wilfred
Published: October 2022

Global warming has been escalating along with its major damaging effects. One such effect is its negative impact on economic growth. This paper is premised on the fact that, in addition to its threats to economic growth, climate change can affect financial institutions unfavorably and become a significant cause of financial risk. Therefore, this study aims to investigate the nexus between the dynamics of biodiversity loss and financial system stability in sub-Saharan Africa (SSA). Using annualized data from World Bank indicators, the study adopted panel techniques. The panel data results indicate that carbon emission has no positive impact on bank non-performing loans in the short run. The findings strongly support that carbon emission in this region does not contribute significantly to financial instability in the short run. This shows that Africa may well be able to assist the world to counteract climate change by providing an essential carbon sink while resisting deforestation and effectively managing the continent’s marine resources. Based on the research findings, it is recommended that policymakers in SSA should promote economic activities that reduce climate fragility while ensuring sustainable economic development.
Managerial competencies in the training of specialists in public and corporate management in Ukraine
Authors: Lopushniak Halyna , Mylyanyk Ruslan , Lopushniak Vasyl , Shandar Anna , Leontenko Olga
Published: October 2022

The pandemic and war in Ukraine have significantly transformed management processes. This has led to increased requirements for managers’ professional and general competencies. Hence, the higher education system should be reoriented, considering new challenges and needs of the labor market. This study aims to identify the demand for current management competencies in the labor market for the positions of state and corporate management specialists and develop a theoretical and methodological basis for updating the standards of higher education in Ukraine. This paper employed statistical analysis and grouping to identify the demand for management skills in the labor market of Ukraine by processing 4,500 job advertisements at job websites. In addition, sociological and expert methods were used to confirm their demand among Ukrainian employers with an expert pool of 101 experts with more than 3 years of management experience. As a result, current management competencies are highlighted. The demand for them is confirmed by the high frequency in job advertisements (expertise in professional activities – 100%, leadership skills – 71%, digital skills – 65%, organizational and communication skills – 59% each, strategic skills – 52%) and by the expert survey. This made it possible to develop a model of management competencies, which is a theoretical and methodological basis for updating the standards. Furthermore, this comparative analysis revealed that there are no specific skills in the standards for master’s training.
USO DA ANÁLISE BIBLIOMÉTRICA COMO FERRAMENTA PARA O LEVANTAMENTO DE ESTUDOS SOBRE A METABOLÔMICA APLICADA NA BIORREMEDIAÇÃO DE ÁREAS IMPACTADAS POR HIDROCARBONETOS
Authors: da Costa Bruna , Dantas Camila , Miranda Beatriz , Lima Danusia , de Oliveira Olívia Maria , Garcia Karina , Canuto Gisele , Teixeira Leonardo
Published: October 2022

USE OF BIBLIOMETRIC ANALYSIS AS A TOOL FOR SURVEYING STUDIES ON METABOLOMICS APPLIED TO THE BIOREMEDIATION OF AREAS IMPACTED BY HYDROCARBONS. Bibliometric reviews, carried out from access to databases of scientific articles associated with software for data processing, can be helpful for qualitative and quantitative assessments of existing publications on a given topic. Several petroleum hydrocarbons are carcinogenic and immunotoxic agents, causing adverse effects on the biota, and the study of metabolites generated in bioremediation processes has been the object of current research. Therefore, in this work, the use of bibliometric analysis as a tool for surveying studies on the applied metabolomics bioremediation of areas impacted by hydrocarbons is presented. A bibliometric review was carried out in the Scopus Preview and Web of Science databases with data analysis using RStudio software with the bibliometrix package. The survey gathered the studies and prominent publications of the last seven years, making it possible to present gaps and opportunities in the area.
PENGEMBANGAN MEDIA PEMBELAJARAN ANDROID UNTUK MENINGKATKAN KEMAMPUAN SPASIAL
Authors: Fahmi Syariful , Widayati Widayati , Priwantoro Soffi Widyanesti
Published: October 2022

Kehidupan manusia merupakan sesuatu yang berjalan secara dinamis.  Segala sesuatu akan senantiasa berkembang, termasuk juga ilmu pengetahuan dan teknologi informasi. Perkembangan ilmu pengetahuan, pada dasarnya selalu berkaitan atau bahkan terwujud dari berbagai cabang ilmu pengetahuan matematika, seperti : aljabar, bilangan, geometri, dan statistika. Dalam hal ini, kenyataan dilapangan menunjukkan materi pada kelas VIII relatif sulit, salah satunya materi bangun ruang sisi datar yang termasuk dalam cabang ilmu geometri. Untuk dapat meningkatkan kemampuan spasial siswa terutama dalam pembelajaran geometri, digunakan sebuah media yang dapat membantu siswa membangun susunan elemen-elemen dalam gambar visual kemudian dapat merepresentasikan dalam ruang dua dimensi. Sehingga pengembangan media pembelajaran dengan menggunakan bantuan software Adobe Flash CS 6 dan Unity dapat menjadi salah satu alternatif untuk mendukung pembelajaran matematika secara konvensionalPenelitian ini termasuk dalam jenis penelitian pengembangan, dengan menggunakan model pengembangan ADDIE (Analysis, Design, Development, Implementation, and Evaluation) untuk menghasilkan suatu produk media pembelajaran interaktif. Software yang dalam pembuatan media pembeljaran interaktif ini adalah Adobe Flash CS 6 dan Unity sebagai software utamanya. Penelitian dilaksanakan di SMP Muhammadiyah 7 Yogyakarta dengan subjek 31 siswa kelas VIII C tahun pelajaran 2020/2021. Data penelitian diperoleh dari hasil angket validasi materi oleh ahli materi, angket validasi media oleh ahli media, dan angket respon siswa oleh siswa. Kelayakan media pembelajaran interaktif ini didapatkan dari proses analisis data secara kuantitatif dan kualitatif.Produk hasil dari penelitian pengembangan ini berupa software pembelajaran  matematika pada materi bangun ruang sisi datar kelas VIII yang dapat diunduh dan dioperasikan di ponsel berbasis android. Berdasarkan hasil uji coba oleh ahli materi, ahli media, dan uji pengguna, produk ini memperoleh rata-rata skor kelayakan berturut-turut 77; 118,5; dan 78,87 dengan kategori kualitatif sangat baik, sangat baik, dan baik. Dengan demikian, produk media pembelajaran interaktif yang telah berhasil dikembangkan ini layak digunakan dalam proses pembelajaran matematika.
Analysis of Students’ Mathematical Reasoning Abilities in Solving Linear Equation in Two Variables on Android Game Called Ganjaran
Authors: Purnomo Muhammad Arif , Lubab Ahmad , Kurniawan Agus Prasetyo
Published: October 2022

Game Penjelajah Ruang (The Space Exploration Game, Ganjaran) is a learning media in the form of an Android-based educational game to practice the mathematical reasoning skills of class VIII students on SPLDV questions. The purpose of this study was to describe students' mathematical reasoning abilities in solving SPLDV questions on Android-based of Ganjaran. The students' mathematical reasoning ability can be seen from the results of working on the SPLDV questions by students which are made based on mathematical reasoning indicators. The type of research used is descriptive qualitative research. The subjects of this study were students of class VIII SMP Negeri 2 Krian as many as 4 students who had played the Ganjaran. The test instrument used in this study was a 5-point SPLDV reasoning question with short answers. From the results of the study, the average value of students' mathematical reasoning abilities was 56.25 which was quite sufficient. Overall, the indicator of mathematical reasoning ability that is mostly mastered by students is indicator c (drawing conclusions, compiling evidence, providing reasons or evidence for the correctness of the solution), while the indicator of student mathematical reasoning that is less mastered by students is indicator a (proposing conjectures).
Analysis of the Mathematical Visualization Process of Female Students in Solving Contextual Problems Based on Cognitive Style
Authors: Utomo Edy Setiyo
Published: October 2022

This study aimed to describe the process of mathematical visualization of female students in solving contextual problems in terms of differences in cognitive style. This type of research is qualitative research with a descriptive approach. The research subjects consisted of two 8th grade students with SPFI and SPFD cognitive styles. The results showed that field-independent female subjects explored objects only from one point of view, from the side they produced 3D objects and were divided into 4 parts. SPFI uses an object-partition strategy. SPFI scans objects in both 3D and 2D. SPFI performs object manipulation in the form of rotation. While SPFD explores objects in 2D because it uses a point of view from the side of the object. SPFD identifies the presence of blocks and triangles. SPFD uses an object partitioning strategy. SPFD does not pay attention to the spatial aspect of the scanned object. SPFD performs object manipulation in the form of a triangular object rotation of 1800 clockwise. Therefore, teachers need to pay attention to the strategies carried out by students in terms of gender and cognitive style in solving cognitive problems so that students can perform optimally.
Pengembangan E-Modul Berbasis Potensi Lokal De Djawatan Pada Pembelajaran IPA Untuk Meningkatkan Keterampilan Proses Sains Siswa SMP
Authors: Nuryah Dian Fajar
Published: October 2022

Pembelajaran IPA memfokuskan pada penguasaan produk dan keterampilan proses juga sikap ilmiah disebut dengan keterampilan proses sains. Bilamana siswa mempunyai keterampilan proses sains maka dapat memecahkan masalah, membentuk konsep, dan mampu mengembangkan kreativitas. Faktanya keterampilan proses sains pada pembelajaran IPA masih rendah hal tersebut dikarenakan beberapa faktor seperti kurangnya bahan ajar untuk digunakan agar keterampilan proses sains meningkat. Sesuai dengan permasalahan peneliti mengembangkan bahan ajar e-modul berbasis potensi lokal De Djawatan agar keterampilan proses sains siswa meningkat. Tujuan dari penelitian ini ialah mengkaji validitas, kepraktisan serta keefektifan e-modul berbasis potensi lokal De Djawatan. Pengembangan ini berdasarkan model ADDIE terdiri atas 5 tahapan. Penelitian memporeh hasil yakni, validitas e-modul berbasis potensi lokal memperoleh nilai sebesar 85% pada kriteria valid. Hasil analisis lembar kepraktisan keterlaksanaan pembelajaran secara keseluruhan pertemuan memperoleh rerata sebesar 89,2% kategori sangat praktis. Keefektifan ditinjau berdasarkan peningkatan pretes dan postes nenunjukkan n-gain sebesar 0,66 dengan kategori peningkatan sedang, dan hasil respon siswa menunjukkan presentase sebesar 86% dengan kategori sangat positif.
EVALUASI KEMAMPUAN BERPIKIR KRITIS MELALUI PENGEMBANGAN BAHAN AJAR FISIKA KONTEKSTUAL BERBANTUAN SOCRATIC QUESTION
Authors: Lestari Nurita Apridiana , Winarto Gunawan Hadi
Published: October 2022

Penelitian ini merupakan salah satu tahapan dari proyek pengembangan bahan ajar kontekstual berbantuan socratic question pada pembelajaran fisika dengan materi utama Termodinamika. Tujuan tahap evaluasi adalah untuk mengetahui  profil keefektifan penerapan bahan ajar kontekstual berbantuan socratic question terhadap kemampuan berpikir kritis siswa. Penelitian pengembangan yang dilakukan menggunakan metode ADDIE yang terdiri dari tahap: “Analysis-Design-Development-Implementation-Evaluation”. Implementasi bahan ajar dengan socratic question dengan materi Termodinamika dilakukan selama 4 pertemuan yang diikuti oleh 64 siswa. Parameter yang diukur dalam tahap evaluasi ini adalah kualitas produk bahan ajar dan kemampuan berpikir kritis siswa. Hasil penelitian menunjukkan bahwa (1) proses pengembangan bahan ajar fisika kontekstual berbantuan socratic question telah memenuhi kriteria kualitas produk yang meliputi validitas, kepraktisan, dan keefektifan (2) terdapat perbedaan yang signifikan antara kemampuan berpikir kritis fisika siswa yang menggunakan produk bahan ajar kontekstual berbantuan socratic question tanpa penerapan produk. Selain itu, ditemukan bahwa profil kemampuan berpikir kritis siswa dalam pembelajaran fisika yang menggunakan produk bahan ajar fisika kontekstual socratic question lebih tinggi dibandingkan dengan pembelajaran yang tidak menggunakan bahan ajar fisika kontekstual berbantuan socratic question (dengan indikator berpikir kritis terdiri dari memberikan argumen, induksi, mengevaluasi, dan membuat keputusan).
Bearing fault diagnosis method based on Gramian angular field and ensemble deep learning
Authors: Han Yanfang , Li Baozhu , Huang Yingkun , Li Liang
Published: October 2022

Inspired by the successful experience of convolutional neural networks (CNN) in image classification, encoding vibration signals to images and then using deep learning for image analysis to obtain better performance in bearing fault diagnosis has become a highly promising approach. Based on this, we propose a novel approach to identify bearing faults in this study, which includes image-interpreted signals and integrating machine learning. In our method, each vibration signal is first encoded into two Gramian angular fields (GAF) matrices. Next, the encoded results are used to train a CNN to obtain the initial decision results. Finally, we introduce the random forest regression method to learn the distribution of the initial decision results to make the final decisions for bearing faults. To verify the effectiveness of the proposed method, we designed two case analyses using Case Western Reserve University (CWRU) bearing data. One is to verify the effectiveness of mapping the vibration signal to the GAFs, and the other is to demonstrate that integrated deep learning can improve the performance of bearing fault detection. The experimental results show that our method can effectively identify different faults and significantly outperform the comparative approach.
Comparison of User Experience between Goal-directed and Experiential Users on Customer Satisfaction in Tourism Marketplace
Authors: Chiara Callista , Agustina Ni Ketut Wiwiek , Yudhistira Putu Gde Arie
Published: October 2022

This research aimed to examine the effect of user experience on Pigijo’s website www.pigijo.com on Pigijo customer satisfaction by using an experimental study and comparing between two different groups of user behavior, namely goal-directed and experiential. The experiment was conducted using an accidental purposive sampling technique on 60 respondents divided into two groups based on user behavior. The data collection of this experiment used a questionnaire that had been tested for validity and reliability, then carried out various tests and analyses such as descriptive analysis, t-test, and regression tests. As a result of the research. It was found that the user experience on the www.pigijo.com website has a positive relationship and influence on Pigijo customer satisfaction, where the goal-directed group has a higher average rating (69.40%) and affects customer satisfaction more positively compared to the experiential group (65.50%).
Law as Technological Control of the Infringement of Intellectual Property Rights in the Digital Era
Authors:   International Business Law, Universitas Prasetiya Mulya, Indonesia BSD City Kavling Edutown I.1, Jl. BSD Raya Utama No.1, BSD City, Kec. Pagedangan, Kabupaten Tangerang, Banten 15339, Harnowo Tri
Published: October 2022

According to technological determinists, particular technological developments are the prime antecedent causes of change in society, and technology is the fundamental condition that underlies the pattern of the social system, including the law. The development of technology in the digital era has influenced the pattern of intellectual property rights infringement and enforcement. One of the functions of patent and copyright systems is the dissemination of knowledge and works well needed by the society. On the other hand, technological development in information systems also facilitates the dissemination of knowledge and works, but it has unwittingly infringed intellectual property rights. To overcome this dilemma, therefore, the legal function must be redefined so that the law can be used as a means of technological control.
Utilization of Rooftop Solar System for Indonesian Economic Recovery Post-Covid-19
Authors:   International Business Law Program, Universitas Prasetiya Mulya, BSD City Kavling, Jl. Edutown Jl. BSD Raya Utama No.1, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Indonesia, Magdalena Maria
Published: October 2022

Pandemic Covid-19 brought an economic impact on many countries around the world, including Indonesia. To explore and formulate a post-pandemic economic recovery strategy that is oriented towards sustainable development, it is relevant now that the government considers the utilization of rooftop solar systems. Albeit its initial failure in the market, Indonesia’s biggest power in renewable energy lies within solar and the government must actively promote its future endeavors, nonetheless. Rather than giving out the USD 1 billion budget into a one-time solution like electricity subsidies and fee relief schemes, investing in rooftop solar systems is wiser for long-time considerations. To put into perspective the importance of renewable energy in the energy mix, this paper will provide a comparison between Indonesia and German in energy transition and explain how the rooftop solar system could act as a strategy to accelerate Indonesian economic growth post-Covid-19. This research will use a normative legal method, particularly statute and comparative approach.
A Sensitive Liquid Chromatography-Mass Spectrometry Method for Determination
of 14-Deoxy-12(R)-Sulfo Andrographolide Concentration in Rat Plasma and its
Application to a Pharmacokinetic Study
Authors: Yang Ruopeng , Hu Wanyu , Xie Cong , Tang Dafu , Zhao Xiaojie , Fu Bingxuan , Wu Jianming , Ye Ling , Liao Rongxin
Published: October 2022

Background:

Andrographolide is a promising natural substance with numerous pharmacotherapy uses.
14-deoxy-12(R)-sulfo andrographolide (SAP) is the main metabolite of andrographolide in the intestine.

Objective:

To investigate the pharmacokinetic properties of SAP, a precise and sensitive ultra-performance liquid
chromatography-tandem mass spectrometry (UPLC-MS/MS) method for the determination of SAP concentration in
rat plasma was developed and validated in this study.

Methods:

Chromatographic separation was achieved on an Acpuity UPLC BEH C18 column with gradient elution
that consisted of methanol and water at a flow rate of 0.3 mL/min. MS/MS detection was carried out by the multiple
reaction monitoring (MRM) mode with negative electrospray ionization (ESI-) source, with the transitions of m/z
413.2→m/z 287.2 for SAP and m/z 269→m/z 133 for genistein [which was used as an internal standard (IS)].

Results:

The calibration curve of SAP was linear over the concentration range of 5-120 ng/mL. The selectivity, precision,
accuracy, extraction recovery, matrix effect, and stability of the method were within acceptable ranges. This
SAP quantification method was then successfully applied to a pharmacokinetic study of SAP. The area under the
curve (AUC) of SAP in rats treated with SAP at 60 mg/kg by intravenous administration was 7498.53 ± 2405.02
mg/L·min. The AUC of SAP in rats treated with SAP at 60 mg/kg by oral administration was 97.74 ± 39.56
mg/L·min. Thus, the absolute oral bioavailability of SAP was determined to be 1.40%.
Examining the Severity of Traffic Barriers Crashes, Mixed Model with Observed Heterogeneity
Authors: Rezapour Mahdi , Ksaibati Khaled
Published: October 2022

Introduction:

Due to the high involvement of traffic barriers in the severity of crashes, extensive efforts have been made to find factors to those crashes. In this study, the mixed logit model has been recognized and employed for modeling traffic barriers crash severity.

Methods:

The method has shown an improvement over the standard logit model, which assumed the impacts of predictors are fixed across crash observations. However, most past studies assume constant distributional means across various crash observations despite the efforts. In this study, the random parameter model was extended to incorporate the heterogeneity in the taste of random parameters based on other observed factors. The consideration addresses the limitation of the standard mixed model, constraining the random effect means to be constant across all observations. In this study, the heterogeneity in taste highlights a significant difference across subpopulations of barrier crash severity based on various factors. The results of the goodness of fit also highlight significant improvements in model fits, moving from standard logit to the mixed and the mixed models with heterogeneity in tastes.

Results and Discussion:

The results highlight that, for instance, the means of the random parameters of gender varies across crash population based on shoulder width, and average annual daily traffic (AADT), while the impact of the mean of the random parameter of AADT varies based on truck traffic.

Conclusion:

Driver's restrain condition, rollover type of crashes, posted speed limit, and citation record were some of the factors that their effects on the severity of crashes were found to be fixed.