bluuebunny/crossref_metadata_2025 huggingface dataset:
Objektifikasi Perempuan dalam Lagu-lagu Campursari Analisis Wacana M.A.K Halliday
Authors: Astari Mariska Dyah
Published: June 2022

Penelitian ini berfokus pada identifikasi makna dan stereotip yang dilekatkan pada perempuan sebagai objek dalam lirik-lirik lagu campursari. Terdapat tiga lagu campursari yang menjadi objek penelitian ini, ketiga lagu tersebut yakni Angge-angge Orong-orong dan Njaluk Kelon oleh Ratna Antika dan Bukak Bungkus oleh Didi Kempot. Dimana ketiga lagu tersebut dalam banyak menunjukkan adanya objektifikasi terhadap tubuh perempuan dalam liriknya. Untuk mengupas ketiga lagu tersebut, peneliti menggunakan pendekatan kualitatif, dengan metode eksploratif. Berdasarkan topik yang dibahas, peneliti menggunakan discourse linguistik dengan pendekatan M.A.K Halliday. Analisis discourse dipilih karena penelitian akan berfokus pada konteks produksi bahasa. Penelitian ini menghasilkan tiga diskursus, yakni diskursus objektifikasi dimana dalam ketiga lagu tersebut perempuan hanya dipandang sebagai sesuatu yang memiliki fungsi seksual saja, dimana tubuh perempuan dieksploitasi dan disamakan dengan penyebutan nama-nama benda hingga hewan. Diskursus janda, dimana lagu Angge-angge Orong-orong dan Njaluk Kelon dalam liriknya memberi stigma bahwa janda merepotkan karena sudah melahirkan anak dari pernikahan sebelumnya, selain itu janda juga dianggap memiliki kemampuan seksualitas lebih dibandingkan dengan perawan. Terakhir, diskursus hubungan seksual. Pada ketiga lagu tersebut, baik secara implisit maupun eksplisit mengelompokkan hubungan seksual menjadi dua kategori, yakni hubungan seksual yang legal dan illegal.
Secure protection for covid-19 infographic using blockchain and discrete cosine transform-singular value decomposition (DCT-SVD) watermarking
Authors: Sidiq Muhammad Fajar , Basuki Akbari Indra , Rosiyadi Didi , Setiawan Iwan , Siregar Yusnan Hasani , Sriyadi Sriyadi
Published: June 2022

Covid-19 infographics have a crucial role in mitigating the covid-19 pandemic by conveying the complex Covid19 information in a form of a simple yet understandable image. However, keenly to contribute to mitigating Covid-19, numerous parties and agencies had released Covid-19 infographics that might contain incorrect or inaccurate information. To prevent such recurrent, this paper proposed an authentication system by using a blockchain-based authorization service that lets the authority guarantee the correctness and validity of the infographics in a transparent manner. We proposed smart contract-based watermarking requests and approval management that let anyone track the watermarking process. To prevent unauthorized infographic fabrications, we use the DCT-SVD method considering its robustness against various attacks. We deployed and evaluated the smart contract on Ethereum test networks (Ropsten, Rinkeby, Goerli, and Kovan) to compare the efficiency and the ease of use. The result showed that the test networks have similar efficiency while the Ropsten and Goerli have better ease of use. The watermark validation service is accessible via a web-based interface for anyone to check the validity of the infographic’s watermark.
Receiver diversity with selection combining for drone communication around buildings at frequency 10 GHz
Authors: Eska Andrita Ceriana
Published: June 2022

The communication network for cellular network keep development. This research analyzed about cellular network was used drone network. The mobile drone used frequency at 10 GHz for communication. The mobile drone moved around buildings. Buildings were used high variation. Base Station placed around building. This research was using macro diversity Base Station, variation building, variation modulation, and variation height of drone trajectory. Macro diversity mechanism used for that two Base Station. Selection Combining (SC) method was used for that macro diversity mechanism. The modulation communication based from Adaptive Modulation and Coding (AMC). Adaptive Modulation and Coding (AMC) was used Modulation and coding scheme (MCS). Modulation was used QPSK, 16 QAM, and 64 QAM. As the result described signal to noise ratio (SNR) at every node communication, probability MCS, and percentage coverage of drone trajectory. MCS probability for 64 QAM become increased with selection combining method. The percentages coverage of drone trajectory was obtained 77.2% of the first BS, 66.8% of the second BS, and 87.2% with SC method.
Vegetation classification algorithm using convolutional neural network ResNet50 for vegetation mapping in Bandung district area
Authors: Astuti Rina Pudji , Rachmawati Ema , Edwar Edwar , Siregar Simon , Sardi Indra Lukmana , Fahmi Arfianto , Agustian Yayan , Yoga Putra Agus Cahya Ananda , Daffa Faishal
Published: June 2022

Bandung District is one of crop provider for West Java Province. About 31.158,22 ha is used for crop. However, some of them are not maintained well due to lack of vegetation map information. Local authority has tried to map the vegetation in their area by using free license satellite images, and aerial images from Unmanned Aerial Vehicle (UAV). Despite both images being able to provide large plantation area images, both are unable to classify the vegetation type in those images. Telkom University with Bandung Agriculture Regional Office (Dinas Pertanian Kabupaten Bandung) has conducted joint research to develop algorithm based on 50-layer residual neural network (ResNet50) to classify the vegetation type. The input is of this algorithm is primarily aerial images are captured from different type, height, and position of crops. Seven different ResNet50 configurations have been set and simulated to classify the crop images. The result is the configuration with resized images, employing triangular policy of cyclic learning rate with rate 1.10−7 – 1.10−4 comes out as the best setup with more than 95% accuracy and relatively low loss.
Performing the high bitrate visible light communications in the foggy weather to anticipate the interference on vehicle communications
Authors: Pamukti Brian , Yanatun Achmad , Sujatmoko Kris , Vidyaningtyas Hurianti
Published: June 2022

We propose transmission media with visible light to communicate between vehicles. We evaluate the research under four scenarios using the modulation of On-Off Keying Non-Return to Zero (OOK-NRZ) and bitrate up to 1 Gbps. These scenarios are (i) ideal conditions, (ii) interference from other vehicle lights, (iii) foggy conditions, and (iv) interference from vehicles and fog conditions. Based on the extensive simulation, the results obtained are that interference and fog conditions can affect and reduce the value of the signal to interference and noise ratio (SNR) and increase the value of the error rate (BER). The results obtained are that interference and fog conditions can affect and reduce the value of the signal to interference and noise ratio (SNR) and increase the value of the error rate (BER). The SNR value in the first scenario is 23.6 dB and the second scenario is 11.1 dB, where this value is still sufficient. The SNR in scenario three is 16.1 dB, and the lowest in the fourth scenario is -7.78326 dB, indicating that the noise is extensive compared to signal power. In addition, we also obtain an optimal distance of communication between vehicles for each scenario sequentially 14.5 m, 13 m, 11.5 m, and 9 m.
Multisource Spatial Data Integration for Use Cases Applications
Authors: Noardo Francesca
Published: June 2022

The reuse and integration of data give big opportunities, supported by the F.A.I.R. data principles. Seamless data integration from heterogenous sources has been interest of the geospatial community for long time. However, 3D city models, BIM and information supporting smart cities present higher semantic and geometrical complexity, which pose new challenges, never tackled in a comprehensive methodology. Building on previous theories and studies, this paper proposes an overarching workflow and framework for multisource (geo)spatial data integration. It starts from the definition of use case-based requirements for the integrated data, guides the analysis of integrability of the involved datasets, suggesting actions to harmonise them, until data merging and validation. It is finally tested and exemplified on a case study. This approach allows the development of consistent, well-documented and inclusive data integration workflows, for the sake of use cases automation in various geospatial domains and the production of Interoperable and Reusable data.
Development of Two-Tier Multiple-Choice Test to Assess Students’ Conceptual Understanding on Respiratory System Material of 11th Grade of Senior High School
Authors: Myanda Azkya Arsyi , Riezky M P , Maridi Maridi
Published: June 2022

Students’ conceptual understanding on Respiratory System Material has to be assessed. This is a research and development study aims to develop a two-tier multiple-choice (TTMC) test to assess students' conceptual understanding on Respiratory System Material on 11th grade. Modified Borg and Gall’s (R&D) research design was used in this research. A preliminary study was conducted to analyse teacher and student needs about instrument assessment. Instrument validation was carried out to expert judgment and 90 of 11th grade students of SMA N Gondangrejo were selected by random sampling. The validation result shows that validation of material, construct, and practitioners expert are very good. Statistical validation using Rasch model shows that there is no item bias in terms of gender, 20 items are valid, person reliability 0.73, item reliability 0.89, item difficulty divided into four categories (very easy, easy, hard, very hard), and based on person separation and item separation the TTMC instrument was developed consists of 4 categories items to assess 3 categories respondent (understanding, misconception, not understanding). The percentage of students’ conceptual understanding on Respiratory System Material shows that 37,7% students understood the concept, 41,6% students had misconceptions, and 20,7% students who don’t understand the concept.
The Effectiveness of Creative Problem Solving (CPS) Learning Model on Divergent Thinking Skills
Authors: Murwaningsih Tri , Fauziah Muna
Published: June 2022

This study has a goal to determine the effectiveness of the CPS learning process in thematic learning and the effectiveness of CPS on students' divergent thinking skills. The exploratory sequential mixed method was used in this study. The study participants were 184 fifth-grade students at public elementary schools in Laweyan District. Test instruments, observation sheets, and documentation were used to collect research data. The content and construct validations were used to test the validity of the test instrument, while the observation sheet and documentation were only tested for their content validity. This study went through two stages of data analysis, namely quantitative tests (normality, homogeneity, balance, hypothesis, and post-ANOVA tests) and qualitative analysis using interactive analysis methods through data reduction, data display, and conclusion drawing. The results of the study describe the calculation of the hypothesis test with an F obs value of 18.23 which is higher than the F table value of 3.02 with a significance level of 0.05. The average score of students who learn using the CPS model is 69.36 while students who use the DI model obtain an average score of 63.43. Students demonstrate every indicator of divergent thinking skills (fluency, flexibility, originality, and elaboration) during the learning process with the CPS model. Therefore, it can be concluded that the CPS learning model is more effective than DI to improve students' divergent thinking skills. The results of this study can be applied to improve the divergent thinking skills of elementary school students. 
The MST problem in network with uncertain edge weights and uncertain topology
Authors: Wang Jiaojin , Sheng Yuhong
Published: June 2022

In real path selection decisions, besides the cost of the path which is the major decision factor, the chance of the path connection is also significant. A path which has low weight but low chance of existence is not a good choice for decision making. In order to make network optimization more in line with the actual situation, this paper studies one model of it on a network whose existence and weight of edges are both indeterminate. The aim of this paper is to obtain a spanning tree which satisfies the connectivity constraint and minimizes the total weight as well. The study uses conditional uncertain variable to discribe the relationship between these two aspects of uncertain variables. On this basis, three different models of the UMST problem are suggested, and the equivalence relation between the MST model of uncertain networks with uncertain edge existence and weight and the MST of related deterministic networks is found. Examples of experiments with specific numerical values are provided to verify the variation of the network when two variables are considered simultaneously.
Intensification for the Degradation of Paraphenylenediamine using Hydrodynamic Cavitation Coupled with Advanced Oxidation Processes
Authors: Dhanke Prashant , Patil Abhijeet D.
Published: June 2022

Paraphenylenediamine (PPD) was used as a pollutant in this study and it was degraded in hydrodynamic cavitation (HC) reactor with an orifice plate and venturi as a cavity generating device, as well as in an ultrasonic cavitation (UC) reactor. The Advance oxidation method (AOP) was used to increase the rate of degradation in this procedure. In AOPs, Hydrogen peroxide and TiO2 as an oxidant and photocatalyst coupled with UV light were used to degrade PPD. To intensify the degradation of PPD, a photocatalyst (TiO2) was synthesised using the sol-gel method and later combined with H2O2 in an HC reactor. The doses of 100 mg/L to 400 mg/L for H2O2 and TiO2 were considered. The highest 71.6% degradation was found at H2O2 of 200 mg/L, more doses than 200 mg/L given almost the same degradation. Using a TiO2 in combination with the optimal H2O2 dose (200 mg/L) and UV light boosted degradation by 77.6%. In HC-O. (HC with orifice). The results showed that HC-O had resulted in the maximum degradation when compared to HC-V (HC with venturi) and UC reactors with and without TiO2 and H2O2. With H2O2 alone, 71.6% degradation was achieved, whereas 52.4 and 55.3% degradation was achieved in HC-V and UC, respectively. At an initial 10 ppm PPD concentration, pH 5, operating temperature (35oC), and H2O2 (200 mg/L), 77.6%, 56.1%, and 67% degradation is achieved in the HC-O, HC-V, and UC reactors with TiO2 (300 mg/L, UV). Hence, AOP is successful with hydrodynamic cavitation reactor for the intensification of PPD under controlled conditions.
Transcriptome analysis Cladophora rupestris absorption and response to Pb stress
Authors: Liu Lei , Zhang Lu-sheng , Yang Liu , Chen Qiu-yu , Zhang Qian , Cao Deju , Liu Zhao-wen
Published: June 2022

This study aimed to analyze the transcriptome of C. rupestris under Pb stress by using high-throughput sequencing technology, observe the changes of gene expression and metabolic pathway after 3 and 5 days under 1.0 and 5.0 mg/L Pb2+ treatment, and analyze the differentially expressed genes (DEGs) and related functional genes. Metabolic pathways were revealed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Results show that DEGs increased significantly with the increase of Pb2+ concentration and stress time. A total of 32 genes were closely related to Pb stress response. GO analysis identified two major transporter proteins, namely, ATP-binding transport protein-related (ABC transporters) and zinc finger CCHC domain containing protein (Zfp) in C. rupestris. Pthr19248, pthr19211, Zfp pthr23002, Zfp p48znf pthr12681, Zfp 294 pthr12389, and Zfp pthr23067 played important roles against Pb infection and its absorption in C. rupestris. KEGG pathway analysis indicate that ABCA1, ATM, and ABCD3 were closely related to Pb absorption. Pb stress was mainly involved in metallothionein, plant hormone signal transduction, ABC transporters, and glutathione metabolism.
Towards holographic streaming systems: From real-time acquisition of the real world to holographic display
Authors: Yu Hyeonseung , Kim Youngrok , Yang Daeho , Seo Wontaek , Kim Yunhee , Hong Jong-Young , Song Hoon , Sung Geeyoung , Sung Younghun , Min Sung-Wook , Lee Hong-Seok
Published: June 2022

While recent progress in holographic displays has shown that they are capable of displaying photorealistic 3D holograms in real time, the acquisition of high-quality real-world holograms has remained a missing piece regarding the realization of holographic streaming systems. Incoherent holographic cameras, which record holograms under daylight conditions, are suitable candidates for real-world acquisition, as they avoid the safety issue involved in the use of laser lights; however, they are hindered by severe noise due to the optical imperfections of such systems. In this work, we develop a deep learning-based incoherent holographic camera system that can deliver visually enhanced holograms in real time. A neural network filters the noise in the captured holograms, maintaining a complex-valued hologram format throughout the whole process. Enabled by the computational efficiency of the proposed filtering strategy, we demonstrate the first holographic streaming system integrating a holographic camera and a holographic display, with the aim of developing the ultimate holographic ecosystem of the future.
Gender differences in willingness for childbirth, fertility knowledge, and value of motherhood or fatherhood and their associations among college students in South Korea
Authors: KIM Hae Won , KIM Seo Yun
Published: June 2022

Background
South Korea is a country with a very low fertility rate and there is a tendency for young adults to postpone marriage and childbirth, which affects adverse pregnancy outcomes. It is important for young adults to predict and prepare in advance for future fertility-related issues, especially by identifying their willingness and thoughts about childbirth for both women and men. This study aimed to investigate gender differences in willingness for childbirth, fertility knowledge, and the value of motherhood or fatherhood among college students in South Korea and to explore the factors influencing willingness for childbirth.
Methods
This was a cross sectional study among 286 unmarried college students who were recruited through a campus email and online communities for college student conducted from June 20, 2021 to July 19, 2021. The data were analyzed using the chi-square test and t-test to identify gender differences in general characteristics, willingness for childbirth, fertility knowledge, and value of motherhood of fatherhood. The factors influencing willingness for childbirth were examined using multiple logistic regression.
Results
Female students showed lower willingness for future childbirth than male students (χ2 = 26.85, p < .001). Women valued motherhood significantly less than men valued fatherhood (t = 6.34, p < .001). Women had a lower fertility knowledge score than men (t = 2.53 p = .012). The value of motherhood or fatherhood was an important influencing factor in both male and female college students (AOR = 8.57, 95% CI = 3.79–19.41 and AOR = 10.42, 95% CI = 3.65–29.80, respectively), whereas the monthly allowance was also an important influencing factor in female students (AOR = 1.02, 95% CI = 1.01–1.03).
Conclusions
The findings indicate the future direction to develop effective interventions considering gender differences which will promote healthy pregnancy and childbirth in the future for informed reproductive decision-making for college students.
Physician emigration from Nigeria and the associated factors: The implication to safeguarding the Nigeria Health System
Authors: Onah Cosmas Kenan , Azuogu Benedict Ndubueze , Ochie Casmir Ndubuisi , Akpa Christian Obasi , Okeke Kingsley Chijioke , Okpunwa Anthony Okoafor , Bello Hassan Muhammad , Ugwu George Onyemaechi
Published: June 2022

Background: Adequate Human Resources for Health is indispensable to achieving Universal Health Coverage and physicians play a leading role. Nigeria, with low physician-population ratio, is experiencing massive exodus of physicians. This study investigated emigration intention of physicians, the factors influencing it and discussed the implications to guide policy formulation and reforms to curtail the trend and safeguard the country’s health system.Methods: Through cross-sectional survey, 913 physicians from 37 States were interviewed with semi-structured questionnaire using online Google form with link shared via WhatsApp and Telegram forums of Nigeria Medical Association and her affiliate bodies. Data was analyzed with IBM-SPSS version-25 and charts were created with Microsoft Excel Spread Sheet version 2019. Chi-square and binary logistic regression tests were done with p-value set at 0.05 for statistical significance. Results: The mean age of respondents is 37.6±7.9 years; majority of them are males (63.2%), married (75.5%) with postgraduate qualifications (54.1%) and working in public health facilities (85.4%) located in urban areas (64.2%). Whereas only 13% and 19.3% of the physicians are respectively satisfied with their work and willing to continue practice in Nigeria, 43.9% want to emigrate and 36.8% are undecided about future location of their practice. The commonest reasons for emigration are poor remuneration (91.3%), rising insecurity (79.8%) and inadequate diagnostic facilities (61.8%). Physicians working in public health facilities are 2.5 times less satisfied than their counterparts in non-public sector and those in their thirties, forties and fifties are 3.5, 5.5 and 13.8 times respectively more willing to retain practice in Nigeria than those younger.Conclusion: Majority of Nigerian physicians want to emigrate for professional practice and top among the push factors are poor remuneration, rising insecurity and inadequate diagnostic facilities. The observed trend portends danger to the country’s health system due to the foreseeable negative consequences of physician deficit to the health system. We recommend upward review of physician remuneration, a root cause analysis of insecurity to determine workable preventive measures and increased funding of the health sector to improve the diagnostic infrastructure in order to retain physicians and save the health system from imminent collapse.
Cross-domain heterogeneous signcryption with keyword search for wireless body area network
Authors: Luo Ming , Huang Dashi , Qiu Minrong
Published: June 2022

In wireless body area network (WBAN), the WBAN sensors usually transmit encrypted data for the sake of security. But because of this, finding and getting the required data quickly becomes a challenge. Thus, many scholars have proposed searchable encryption (SE) schemes. Regrettably, many proposed SE schemes are not resistant to inside keyword guessing attack (IKGA), and most schemes are not suited for cross-domain communication in WBAN because they use single cryptosystem and the same cryptographic system parameters. To address the aforementioned issues, we put forward a new SE scheme for WBAN based on the public key cryptosystem in this paper. Our scheme allows WBAN sensors in certificateless public key cryptography (CLC) and receivers in public key infrastructure (PKI) environment use different cryptographic system parameters to realize cross-domain heterogeneous communication. At the same time, our scheme can effectively resist IKGA. Compared to the five existing schemes, the total computation cost of our scheme reduced by at least 59.99%.
Development of Human Pituitary Adenoma Organoids to Facilitate Effective Targeted Treatments of Cushing's Disease.
Authors: Zavros Yana , Chakrabarti Jayati , Pandey Ritu , Churko Jared , Eschbacher Jennifer , Mallick Saptarshi , Chen Yuliang , Hermes Beth , Mallick Palash , Stansfield Ben , Pond Kelvin , Thorne Curtis , Yuen Kevin , Little Andrew
Published: June 2022

Cushing's disease (CD) is a serious endocrine disorder caused by dysregulated adrenocorticotropic hormone (ACTH)-secreting pituitary tumor that stimulates the adrenal glands to overproduce cortisol. Chronic exposure to excess cortisol has detrimental effects on health, including increased stroke rates, diabetes, obesity, cognitive impairment, anxiety, depression, and death. The first-line treatment for CD is pituitary surgery, which is followed by disease remission. Current surgical remission rates reported range from 47–85% depending on several remission criteria. The lack of specificity, poor tolerability, and low efficacy of the subsequent second-line medical therapies makes CD a medical therapeutic challenge. One major limitation that hinders the development of specific medical therapies is the lack of human relevant model systems that recapitulate the cellular composition of pituitary adenomas. Human pituitary adenoma tissue was harvested during transsphenoidal surgery from CD patients to generate organoids (hPITOs). hPITOs generated from corticotroph, lactotroph, gonadotroph and somatotroph adenomas exhibited morphological diversity among the organoid lines between individual patients and amongst subtypes. The similarity in cell lineages between the organoid line and the patient’s tumor was validated by comparing the neuropathology report to the expression pattern of pituitary adenoma specific markers using spectral flow cytometry and exome sequencing. A high-throughput drug screen demonstrated patient-specific drug responses of hPITOs amongst each adenoma subtype. Generation of induced pluripotent stem cells (iPSCs) from patients carrying germline mutations relevant to CD exhibited dysregulated cell lineage commitment. The human pituitary adenoma organoids represent a novel approach in how we model complex pathologies in CD patients that may enable more effective personalized medicine for these patients.
Association between preterm births and socioeconomic development: analysis of national data
Authors: Montemor Marina Sanches , Demarque Gabriella Ferreira , Rodrigues Agatha Sacramento , Francisco Rossana Pulcinelli Vieira , Carvalho Mario Henrique Burlacchini
Published: June 2022

Background: The increasing prevalence of preterm birth, which is a global phenomenon, is attributable to the increased medical indications, artificial gestations, and some socioeconomic factors. This study was conducted to identify whether development and equality indices are associated with the incidence of preterm birth, specifically, spontaneous and elective preterm births.Methods: This retrospective observational study comprised an analysis of data on live births from 2019 in Brazil and on socioeconomic indices that were derived from census information in 2017. Data were summarised using absolute and relative frequencies. Spearman’s correlation was used to determine the correlation between socioeconomic factors and the preterm birth rate. Multiple beta regression analysis was performed to determine the best model of socioeconomic covariates and preterm birth rate. The significance level was set at 5%.Results: In 2019 in Brazil, the preterm birth rate was 11.03%, of which 58% and 42% were spontaneous and elective deliveries, respectively. For all preterm births, Spearman’s correlation varied from ρ = 0.4 for the Gini Index and ρ = −0.24 for illiteracy. The best fit modelled the spontaneous preterm birth fraction as a negative function of the Human Development Index (HDI). The best-fit model considered the expected elective preterm birth fraction as a positive function of the HDI and as a negative function of the Gini Index, which was used as a precision parameter.Conclusions: We observed a reduction in the fraction of spontaneous preterm births; however, the distribution was not uniform in the territory: higher rates of spontaneous preterm birth were noticed in the north, northeast, and mid-west regions. Thus, areas with lower education levels and inequal income distribution have a higher proportion of spontaneous preterm birth. The fraction of elective preterm birth was positively associated with more advantaged indices of socioeconomic status.
Dual isotopes tracing carbon and nitrogen dynamics during leguminous and non-leguminous litter decomposition under controlled precipitation
Authors: Du Ning ning , Qiu Liping , Zhang Yan jiang , Zhang Xing chang , Wei Xiao rong
Published: June 2022

Background and aims Plant litter decomposition figures importantly in the cycling of C and N pools in terrestrial ecosystems. We investigated how C and N fluxes changed during the decomposition of leaf litters and how those processes respond to different precipitation regimes.Methods We using dual isotope tracing and in situ decomposition methods, and investigated differences of leaf and soil C, N, δ13C and δ15N in northwest China.Results δ15N and δ13C were 3604‰ and 56‰ for Robinia pseudoacacia (Leguminosae) and 8115‰ and 452‰ for Populus ningshanica (Salicaceae) leaf litters. Through decomposition, δ13C decreased in all litters, and the δ15N of leguminous increased while non-leguminous litter decreased. In surface soil, the fractions of litter-derived C (20%) and N (14%) from leguminous were higher than non-leguminous litters after 16 months. C and N concentrations of both litters and soil were always coupled during decomposition, and the responses of N to C changes in soil were reduced by litter cover. Increased precipitation enhanced the litters’ C and N coupling. The 600-mm precipitation treatment most benefited litter C transformation to SOC, and drought conditions promoted the transformation of legume litter N to soil TN, but inhibited non-legume litter N. Conclusions C and N changes are always coupled in soil and litters. After 16 months, the proportion of C and N in soil from legumes was higher than non-legumes. Reduced precipitation can promote legumes N into soil. Our results provide a scientific basis for accurately predicting the C and N cycles in terrestrial ecosystems.
Practical self-management system for women with postnatal hypertension
Authors: Chang Chung-Wei , Tsai Yi-Jing , Hsu Yu-Yun , Hou Ting-Wei
Published: June 2022

High blood pressure would present in postpartum women diagnosed with hypertension during their perinatal period. Few studies are available regarding the self-management of postnatal hypertension via the eHealth system. This study aimed to develop a self-management eHealth system for women with postnatal hypertension during the postpartum period. We applied this system on multi-platform, not only on web interface but also on the platform of varied smartphones. The proposed system possessed three novel features: (1) Population was limited to postnatal women with hypertension; (2) self-care record, which allowed the postnatal women to keep tracking their blood pressure, pulse, weight, medication record, exercise record, and risk factor assessment; and (3) through this system, nurse-midwife could keep track of postnatal women's health status maintaining the complete record and could communicate directly with the users if their health monitor values reach beyond normal range. A survey was conducted among the postnatal women to evaluate the usability and acceptance of the eHealth system. The results showed that the overall satisfaction rate of the system reached 92.9% suggesting that the system was helpful to the users.
Mothers’ knowledge and self-reported performance regarding management of traumatic dental injuries: A cross-sectional study
Authors: Momeni Zahra , Afzalsoltani Sanaz , Moslemzadehasl Mohmoudreza
Published: June 2022

Background
Dental trauma is common among children. It has negative effects on a child’s quality of life. Parental knowledge, especially among mothers is an important factor for the long-term success of this emergency. This study aimed to investigate mothers' knowledge and self-reported performance, especially regarding the management of traumatic dental injuries.
Methods
In this cross-sectional study, 277 mothers of children (8–12 years) attending to pediatrics department of Alborz dental school were studied by convenience sampling. The independent variables were the child's gender, parents’ education and employment status, economic status, and inhabitation status. The dependent variable was the mothers’ knowledge and self-reported performance about the management of traumatic dental injuries. The data were collected using a valid and reliable questionnaire including four case scenarios of traumatic dental injury (case design) and analyzed by Linear multiple regression.
Results
The mean score of mothers’ knowledge about the management of traumatic dental injuries was 3.34 ± 1.58. The least obtained score in the section of knowledge was 0, and most of them were 7 (from a total score of 11). The mean score of mothers’ performance was 3.38 ± 1.2 (from a total score of 7). Results demonstrated that mothers' employment status and education influence their knowledge, while there is no relationship between mothers’ self-reported performance and the contextual variables (P < 0.05).
Conclusions
This finding demonstrated mothers have insufficient knowledge and performance about dental trauma management. The authors recommend giving effective academic intervention on knowledge and performance of dental trauma management at the community level, especially for parents.
Mass oscillations and matter wave’s phase and amplitude modulations of relativistic quantum particles induced by Heisenberg’s uncertainty principle
Authors: Tang Jau , Tang Qiang , Hu Zhi-Bin
Published: June 2022

We present a flip-flop dual model to treat quantum dynamics of relativistic particles with a rest mass and investigate the matter waves’ phase and amplitude modulations due to Heisenberg’s uncertainty principle. Their matter waves are shown to behave like a traveling wave packet accompanied by a guiding pilot wave, and the phase modulations result in mass oscillations. These effects are shown to be more prominent for light-weighted elementary particles, such as neutrinos and electrons. This mechanism is solely due to the uncertainty principle and has nothing to do with the flavor-mixing of neutrinos. Simulations using neutrinos and electrons are presented, which indicate an oscillation period on the order of ps. In this study, we primarily focus on the predicted mass oscillations induced by the uncertainty principle. A slit-type interference experiment using neutrinos and electrons from reactors is proposed to test the predicted behaviors.
Integrated transcriptomics contrasts fatty acid metabolism with hypoxia response in β-cell subpopulations associated with glycemic control
Authors: Miranda Mario A , Macias-Velasco Juan F , Schmidt Heather K , Lawson Heather A
Published: June 2022

Understanding how heterogeneous β-cell function impacts diabetes is imperative for therapy development. Standard single-cell RNA sequencing analysis illuminates some factors driving heterogeneity, but new strategies are required to enhance information capture. We integrate pancreatic islet single-cell and bulk RNA sequencing data to identify β-cell subpopulations based on gene expression and characterize genetic networks associated with β-cell function in obese SM/J mice. Previous studies have shown that high fat-fed SM/J mice resolve glycemic dysfunction between 20 and 30wks of age. We identify β-cell subpopulations associated with basal insulin secretion, hypoxia response, cell polarity, and stress response. Relative proportions of these cells are influenced by age, sex, and diet. Network analysis associates fatty acid metabolism and basal insulin secretion with hyperglycemic-obesity, while expression of Pdyn and hypoxia response is associated with normoglycemic-obesity. By integrating single-cell and whole islet transcriptomes, our study explores β-cell heterogeneity and identifies novel subpopulations and genetic pathways associated with β-cell function in obesity.
Enhanced poly-γ-glutamic acid production by a newly isolated Bacillus tequilensis BL01
Authors: Wang Dexin , Zhou Dasen , Gao Jiaqi , Bai Wenqin
Published: June 2022

Poly γ-glutamic acid (γ-PGA) is a promising biopolymer for various applications. In this study, we isolated a novel γ-PGA-producing strain, Bacillus tequilensis BL01. The one-factor-at-a-time method was used to investigate the influence of carbon and nitrogen sources and temperature on γ-PGA production. The optimal carbon and nitrogen sources were sucrose and (NH4)2SO4, respectively. The optimal temperature for γ-PGA production was determined to be 37°C. Response surface methodology was used to determine the optimum medium components: 68.9 g/L sucrose, 47.7 g/L monosodium glutamate, and 2.5 g/L K2HPO4. γ-PGA titer increased significantly from 8.6 g/L to 21.1 g/L when strain BL01 was cultivated in the optimized medium. Furthermore, γ-PGA titer reached 54.7 g/L with a productivity of 1.37 g/L/h and a yield of 2.47 g of γ-PGA/g of L-glutamic acid with the optimized medium in fed-batch fermentation. It should be noted that the γ-PGA yield in this study was the highest of all reported studies, indicating a great potential for the industrial production of γ-PGA.
Attraction of Pissodes castaneus (Coleoptera, Curculionidae) to Pinus taeda: Laboratory and Field Evaluation
Authors: Frensch Gustavo , Zaleski Scheila R. M. , Schorr Renan R. , Dantas Liliane G. , Krasniak Marina , Lazzari Sonia M. N. , Maia Beatriz H. L. N. S. , Marques Francisco A.
Published: June 2022

Coniferous trees of the genus Pinus (Pinaceae) are under continuous threats by numerous herbivorous insect species and pathogens attacking nearly all parts and tissues of the plants. To defend themselves, pine trees produce large amounts of oleoresin that is accumulated in a highly developed network of specialized resin ducts, which are distributed in the wood, bark, and needles. Such defense reactions in pines can be induced by the attack of herbivores. The banded pine weevil, Pissodes castaneus (De Geer, 1775) (Coleoptera, Curculionidae), is an important pest of Pinus in Brazil, where it has been an invasive species since 2001. The female lays its eggs under the tree bark of trees and the larvae feed in the phloem of the trunk and branches, interrupting the sap circulation and eventually causing its death. In the present study, we conducted detailed GC–MS analyses of volatiles emitted by twigs of Pinus taeda L. We analyzed how the attack by P. castaneus males and females affects the volatile pattern emitted by the twigs. When comparing volatiles produced by healthy plants and by female- and male-attacked P. taeda, qualitative and quantitative differences were detected, as the decreased production of limonene, germacrene D and (E)-caryophyllene and the increase of α-pinene. Laboratory bioassays showed that plants attacked by male and female P. castaneus were more attractive to the insects. Understanding about what compounds may attract or repel the insects may help in the development of more effective traps, as well as preventing stress to avoid infestation.
Assessment of the nasal microbiota in dogs with fungal rhinitis before and after cure and in dogs with chronic idiopathic rhinitis.
Authors: Vangrinsven Emilie , Fastrès Aline , Taminiau Bernard , Billen Frédéric , Daube Georges , Clercx Cécile
Published: June 2022

Background
Pathogenesis of canine fungal rhinitis is still not fully understood. Treatment remains challenging, after cure intranasal remodeling may be associated with clinical disease mimicking chronic idiopathic rhinitis and recurrence can occur. Alterations of the nasal microbiota have been demonstrated in dogs with chronic idiopathic rhinitis and nasal neoplasia, although whether they play a role in the pathogenesis or are a consequence of the disease is still unknown. The objectives of the present study were (1) to describe nasal microbiota alterations associated with fungal rhinitis in dogs, compared with chronic idiopathic rhinitis and controls, (2) to characterize the nasal microbiota modifications associated with successful treatment of fungal rhinitis. Forty dogs diagnosed with fungal rhinitis, 14 dogs with chronic idiopathic rhinitis and 29 healthy control dogs were included. Nine of the fungal rhinitis dogs were resampled after successful treatment with enilconazole infusion.
Results
Only disease status influenced the nasal microbiota variance. The relative abundance of the genus Moraxella was decreased in the fungal rhinitis (5.4 ± 18%) and chronic idiopathic rhinitis (4.6 ± 8.7%) groups compared to controls (51.8 ± 39.7%). Fungal rhinitis and chronic idiopathic rhinitis groups also showed an increased richness and α-diversity at species level compared with controls. Increase in unique families were associated with fungal rhinitis (Staphyloccaceae, Porphyromonadaceae, Enterobacteriaceae and Neisseriaceae) and chronic idiopathic rhinitis (Pasteurellaceae and Lactobacillaceae). In dogs with fungal rhinitis at cure, only 1 dog recovered a high relative abundance of Moraxellaceae.
Conclusions
Results confirm major alterations of the nasal microbiota in dogs affected with fungal rhinitis and chronic idiopathic rhinitis, consisting mainly in a decrease of Moraxella. Besides, a specific dysbiotic profile further differentiated fungal rhinitis from chronic idiopathic rhinitis. In dogs with fungal rhinitis, whether the NM returns to its pre-infection state or progresses toward chronic idiopathic rhinitis or fungal rhinitis recurrence warrants further investigation.
Analysis of Antibiotic Resistance and Molecular Characteristics in Carbapenem-Resistant Klebsiella pneumoniae Clinical Isolates
Authors: Zhang Ranran , Zhu Jingxuan , Chen Ye , Yang Xuejing
Published: June 2022

The global epidemic of carbapenem-resistant Klebsiella pneumonia (CRKP) has brought a significant public health challenge. We collected 62 clinical isolated CRKP strains to investigate the antibiotic resistance, molecular characteristics and the clinical characteristics of infected patients. The carbapenemase gene, virulence-associated gene, capsular serotype gene and fenestra protein gene were detected by PCR. All the CRKP isolates were resistant to meropenem, piperacillin-tazobactam, and ceftazidime (100%, 62/62, respectively), followed by imipenem and cefepime (96.8%, 61/62, respectively). The resistance rate of colistin was lowest (11.9%, 8/62). The resistance rate of CRKP in ICU to various antibiotics were significantly higher than general ward patients. 50 strains carried carbapenemase gene blaKPC, and 3 strains carry both blaKPC and blaNDM. The virulence genes uge, wabG, ycf, entB, ureA and fimH were detected above 90% in 62 CRKP strains. 2 strains in 62 CRKP strains had Ompk35, Ompk36 and Hcp gene deletion. BlaKPC, rmpA and rmpA2 genes have the highest positive rate in blood samples, and blaNDM have the highest positive rate in stool samples. The multivariate analysis showed that patient with pulmonary disease affected the prognosis of the CRKP infection. Our results demonstrated that antibiotic resistance and widespread dissemination of CRKP has become one of the most difficult challenge in clinical infection therapy. The relevant genes of strains and clinical characteristics of patients are related to the progression and prognosis of CRKP infection.
A GNN-based Proactive Caching Strategy in NDN Networks
Authors: Hou Jiacheng , Lu Haoye , Nayak Amiya
Published: June 2022

As people spend more time watching and sharing videos online, it is critical to provide users with a satisfactory quality of experience (QoE). Leveraging the in-network caching and named-based routing features in Named Data Networks (NDNs), our paper aims to improve user experience through caching. We propose a graph neural network-gain maximization (GNN-GM) cache placement algorithm. First, we use a GNN model to predict users’ ratings of unviewed videos. Second , we consider the total predicted rating of a video as the gain of the cached video. Third, we propose a cache placement algorithm to maximize the caching gain and actively cache videos. Cache replacement is implemented based on the cache gain ranking of videos, with higher cache gain videos replacing lower cache gain videos. We compare GNN-GM with two state-of-the-art caching strategies, namely the NMF-based caching strategy and GNN-CPP. GNN-GM is also compared with two traditional caching strategies, LCE and LRU, LCE and FIFO. We evaluate the five caching strategies using real-world datasets in a tree network topology, a real-world network topology GEANT, and various random topologies. The experimental results show that our caching policy significantly improves cache hit ratio, latency and server load. Notably, GNN-GM achieves a 25% higher cache hit rate, 5% lower latency and 7% lower server load than GNN-CPP in GEANT.
Networking Data and Intelligent Management in the Post-COVID19 Era: A Report on APNOMS 2021
Authors: Chen Jen-Jee , Yamamoto Ryo , Kim Kyungbaek , Huang Jiun-Long , Kinoshita Kazuhiko , Seok Woojin , Yen Li-Hsing
Published: June 2022

This article presents a report on APNOMS 2021, which was held on September 8–10, 2021 in Tainan, Taiwan. The theme of APNOMS 2021 was “Networking Data and Intelligent Management in the Post-COVID19 Era.”
Spontaneous electrochemical uranium extraction from wastewater with net electrical energy production
Authors: Ye Yin , Jin Jian , Han Wei , Miao Shiyu , Feng Yanyue , Qin Zemin , Tang Xin , Li Cui , Chen Yanlong , Chen Fan , Wang Yuheng
Published: June 2022

Extracting uranium from uranium-mine wastewater is highly important from both the environmental protection and the resource preservation perspectives. However, conventional adsorption methods and zero-valent-iron induced reductive precipitation methods have intrinsic limitations. Here we demonstrate a spontaneous electrochemical (SPEC) method that spatially decouples the uranium-adsorption-reduction reactions and the iron oxidation reaction, enabling stable and efficient uranium extraction with net electrical energy output. U(VI) species are firstly adsorbed on a carbonaceous electrode, and subsequently reduced by electrons derived from iron oxidation. In simulated wastewater, the SPEC method achieves a 12 times higher uranium extraction efficiency without saturation of the carbonaceous electrode, in comparison with the adsorption method. In real wastewater, the uranium extraction efficiency reaches 352 mg∙g-1 during 60 h operation with simultaneous net electrical energy production (0.65 Wh∙m-2), and the operation cost is only 3.46~5.99 USD∙kgU-1. This work potentially opens a new avenue for cost-effective uranium recovery from mine wastewater.