bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of scan parameters to reduce acquisition time for RESOLVE-based diffusion kurtosis imaging (DKI) in nasopharyngeal carcinoma (NPC)
Authors: He Yaoyao , Chen Hao , Zhang Huiting , Grimm Robert , Zhao Cecheng , Guo Xiaofang , Liu Yulin , Yuan Zilong 
Published: June 2022

Objective:
To shorten acquisition time of readout segmentation of long variable echo trains (RESOLVE)-based diffusion kurtosis imaging (DKI) via Readout Partial Fourier (RPF) and b-value combinations.

Methods:
The RESOLVE-based DKI images of 38 patients with nasopharyngeal carcinoma (NPC) were prospectively enrolled. For RESOLVE-based DKI images with 5/8 RPF and without RPF, objective and subjective evaluations of image quality were performed. A total of nine groups with different b-value combinations were simulated, and the influence of different b-value combinations for RESOLVE-RPF-based DKI sequences was assessed using the intraclass correlation coefficient (ICC).

Results:
The mean values of signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) in DKI images without RPF were higher than those with 5/8 RPF (252.9 ± 77.7 vs 247.3 ± 85.5 and 5.8 ± 2.8 vs 5.4 ± 2.3, respectively), but not significantly (p = 0.460 and p = 0.180, respectively). In comparing the ICCs between nine groups of different b-value combinations in RESOLVE-RPF-based DKI, group (200, 800, 2000 s/mm2), group (200, 400, 800, 2000 s/mm2) and group (200, 800, 1500, 2000 s/mm2) were not significantly different (p &gt; 0.001) and showed excellent agreement (0.81–1.00) with that of group (200, 400, 800, 1500, 2000 s/mm2). Using b-value optimization and RPF technology, the group with RPF (200, 400, 800, 2000 s/mm2) showed a 56% reduced scanning compared with the group without RPF (200, 400, 800, 1500, 2000 s/mm2; 3 min 46 s vs 8 min 31 s, respectively).

Conclusion:
DKI with RPF did not significantly affect image quality, but both RPF and different b-value combinations can affect the scanning time. The combination of RPF and b-value optimization can ensure the stability of DKI parameters and reduce the scanning time by 56%.

Advances in knowledge:
This work is to optimize scan parameters, e.g. RPF and b-value combinations, to reduce acquisition time for RESOLVE-based DKI in NPC. To our knowledge, the effect of RESOLVE-RPF and b-value combinations on DKI has not been reported.
The differentiation of mesenchymal bone marrow stem cells into nerve cells induced by Chromolaena odorata extracts
Authors: Eriani Kartini , Desriani Desriani , Suhartono Suhartono , Br Sibarani Miftahul Jannah , Ichsan Ichsan , Syafrizal Dedy , Asmara Hadhymulya 
Published: June 2022

Background: Mesenchymal stem cells (MSCs) can differentiate into nerve cells with an induction from chemical compounds in medium culture. Chromolaena odorata contains active compounds, such as alkaloids and flavonoids, that can initiate the transformation of MSCs into nerve cells. The aim of this study was to determine the potential of methanol extracted C. odorata leaf to induce the differentiation of bone marrow MSCs into nerve cells. Methods: A serial concentration of C. odorata leaf extract (0.7–1.0 mg/mL) with two replications was used. The parameters measured were the number of differentiated MSCs into nerve cells (statistically analyzed using ANOVA) and cell confirmation using reverse transcription polymerase chain reaction (RT-PCR). Results: The results showed that the C. odorata extract had a significant effect on the number MSCs differentiating into nerve cells (p < 0.05) on the doses of 0.8 mg/ml with 22.6%. Molecular assay with RT-PCR confirmed the presence of the nerve cell gene in all of the samples. Conclusions: In conclusion, this study showed the potential application of C. odorata leaf extract in stem cell therapy for patients experiencing neurodegeneration by inducing the differentiation of MSCs into nerve cells.
Transfer of maternal immunity using a polyvalent vaccine and offspring protection in Nile tilapia, Oreochromis niloticus
Authors: Amrullah Amrullah , Wahidah Wahidah , Ardiansyah Ardiansyah , Indrayani Indrayani 
Published: June 2022

Background: Vaccination is an effective and alternative means of disease prevention, however, it cannot be conducted on the offspring of fish. For this process to take place, the transfer of maternal immunity must be implemented. This study aims to determine the effectiveness of transferring immunity from the broodstock to the offspring using a polyvalent vaccine against Aeromonas hydrophila, Streptococcus agalactiae, and Pseudomonas fluorescens in Nile tilapia, Oreochromis niloticus. Methods: Nile tilapia broodstock, with an average weight of 203g (±SD 23 g) was injected with a vaccine used as a treatment. Example include A. hydrophila monovalent (MA), S. agalactiae monovalent (MS), P. fluorescens monovalent (MP), A. hydrophila and S. agalactiae bivalent (BAS), A. hydrophila and P. fluorescens bivalent (BAP), P. fluorescens and S. agalactiae bivalent (BPS), and A. hydrophila, S. agalactiae, and P. fluorescens polyvalent vaccines (PAPS). While the control was fish that were injected with a PBS solution. The broodstock’s immune response was observed on the 7th, 14th, 21st, and 28th day, while the immune response and challenge test on the offspring was conducted on the 10th, 20th, 30th, and 40th day during the post-hatching period. Result: The application of PAPS in broodstock could significantly induce the best immune response and immunity to multiple diseases compared to other treatments. The RPS of the PAPS was also higher than the other types of vaccines. This showed that the transfer of immunity from the broodstock to the Nile tilapia offspring could protect it against bacterial diseases such as A. hydrophila, S. agalactiae, and P. fluorescens. Conclusion: The application of PAPS A. hydrophila, S. agalactiae, P. fluorescens vaccines increased the broodstock’s immune response and it was transferred to their offsprings. They were able to produce tilapia seeds that are immune to diseases caused by A. hydrophila, S. agalactiae, and P. fluorescens.
Data Profiling and Machine Learning to Identify Influencers from Social Media Platforms
Authors: Elbaghazaoui Bahaa Eddine , Amnai Mohamed , Fakhri Youssef 
Published: June 2022

Because of the numerous applications domains in which social media networks can be used, the huge volume of data and information uploaded by them is gaining significant interest. Publishing allows consumers to express their thoughts on products and services. Some feedbacks could also influence other users on those things. Therefore, extracting and identifying influencers from social media networks, also profiling their product perceptions and preferences, is critical for marketers to use efficient viral marketing and recommendation strategies. Our major goal in this research is to find the best machine learning model for characterizing influencers on social media networks. However, to achieve this objective, our strategy revolves around applying the PageRank algorithm to profile influential nodes throughout the social media network graph. The results of our experiment showed that the correlation is always different when adding a new parameter to machine learning models, also to determine the suitable model for our needs. In any event, the experiment outcomes are critical and significant to profiling influencers from social media platforms.
Semantic Web and Internet of Things: Challenges, Applications and Perspectives
Authors: Amara Fatima Zahra , Hemam Mounir , Djezzar Meriem , Maimor Moufida 
Published: June 2022

The apparent growth of the internet of things (IoT) has allowed its deployment in many domains. The IoT devices sense their surroundings and transmit the data via the Web. According to statistics, due to the proliferation of smart devices, the number of active IoT devices is expected to exceed 25.4 billion by 2030.1 A large number of IoT objects gather an enormous amount of raw data. The data generated by various IoT objects and sensors are heterogeneous, with varying types and formats. Therefore, it is difficult for IoT systems to share and reuse raw IoT data, which causes the problem of lack of interoperability. The lack of interoperability in IoT systems creates a problematic issue that prevents IoT systems from performing well. To address this issue, data modeling and knowledge representation using semantic web technologies may be an appropriate solution to give meaning to raw IoT data and convert it to an enriched data format. The primary goal of this research section is to highlight the best outcomes for semantic interoperability among IoT systems, which can serve as a guideline for future studies via the presentation of a literature review on semantic interoperability for Internet of Things systems, including challenges, prospects, and recent work. The paper also provides an overview of the application of semantic web technologies in IoT systems, such as specific ontologies, frameworks, and application domains that use semantic technologies in the IoT areas to solve interoperability and heterogeneity problems.
Phytochemical test and optimization of transdermal patches of Carica papaya extract: Formulation design of candidate drug for wound healing
Authors: SANTI TAHARA DILLA , SIREGAR TONGKU NIZWAN , SUTRIANA AMALIA , ANDINI RITA , CANDRA ADITYA 
Published: June 2022

Abstract. Santi TD, Siregar TN, Sutriana A, Andini R, Candra A. 2022. Phytochemical test and optimization of transdermal patches of Carica papaya extract: Formulation design of transdermal patch as candidate drug for wound healing. Biodiversitas 23: 2904-2913. Papaya leaves contain metabolite compounds thathave anti-inflammatory and wound-healing properties. This leaf extract as a transdermal patch allows easy application for wound healing. This study aimed to examine the phytochemicals of papaya leaves and determine the formulation of the transdermal patch. This study employed qualitative methods with color testing and quantitative methods with Gas Chromatography-Mass Spectrophotometry (GC-MS) to determine the phytochemical profiles of papaya leaves. The optimization test of patches used Response Surface Methodology with Box-Behnken design on Expert Version 12 software. There were three factors (x) tested in the study, namely PVP, ethyl cellulose, and Ethanol Extract of Papaya Leaves (EECP). There were also three responses (y) investigated, namely thickness, weight, and moisture content. The phytochemical color testingresults revealed the presence of alkaloids, steroid, terpenoid, saponins, flavonoids, phenolic compounds and the GC-MS analysis showed six compounds with the widest areas. From an ANOVA analysist, the p-value was significant (<0.5) while the match value was less significant (p-value >5%). The optimal patch found in this study was the one containing PVP (0.3 mg), ethyl cellulose (0.4 mg), and EECP (0.3 mg). In terms of response values (y), the patch had a ??thickness of 0.25 mm, a weight of 82 mg, and a moisture content of 4.39%.
Selection of tomato breeding lines based on morphological traits associated with high yield potential in double-cross population
Authors: ANISA WITRI NUR , AFIFAH ENIK NURLAILI , MURTI RUDI HARI 
Published: June 2022

Abstract. Anisa WN, Afifah EN, Murti RH. 2022. Selection of tomato breeding lines based on morphological traits associated with high yield potential in double-cross population. Biodiversitas 23: 2973-2980. Low tomato production is a global problem. Plant breeding has been intensified to develop high-yield varieties and meet the high production of vegetable crops. Selection is an essential part of plant breeding to evaluate desirable traits of breeding lines. This study aimed to identify tomato breeding lines with high yield potential from 13 breeding lines and 2 commercial tomatoes. Collected data were analyzed using analysis of variance, post hoc, path, and principal component analysis. Results showed that 9 tomato lines, namely, BV-1, BV-2, BV-3, BV-6, BV-7, BV-9, BV-11, BV-12, and BV-13 had a high yield potential based on the number of fruits per plant and fruit weight. Given their high path coefficient value and significant correlation (P<0.05) with the yield potential, these two characteristics are highly recommended to be used as selection criteria for the high yield potential of tomato plants. The following characteristics had a high value of heritability: fruit weight, fruit length, fruit diameter, fruit firmness, fruit locules, fruit pericarp thickness, total soluble solid, number of flowers per bunch, number of fruits per bunch, number of fruits per plant, and harvesting age.
Callus induction with 6-BAP and IBA as a way to preserve Prunus ledebouriana (Rosaceae), and endemic plant of Altai and Tarbagatai, East Kazakhstan
Authors: ORAZOV AIDYN , MYRZAGALIYEVA ANAR , MUKHITDINOV NASHTAI , TUSTUBAYEVA SHYNAR 
Published: June 2022

Abstract. Orazov A, Myrzagaliyeva A, Mukhitdinov N, Tustubayeva S. 2022. Callus induction with 6-BAP and IBA as a way to preserve Prunus ledebouriana (Rosaceae), and endemic plant of Altai and Tarbagatai, East Kazakhstan. Biodiversitas 23: 3178-3184. This article presents the results of the study of in vitro conditions for the cultivation and induction of callus tissues of a rare plant species Prunus ledebouriana(Schlecht.) Y.Y.Yao (Ledebour's almond), endemic plant to East Kazakhstan. For the first time, protocol and optimal composition of Murashige & Skoog (MS) were developed for obtaining calendemiclus tissues. The main indicator of successful introduction was the frequency of callus tissue formation in vitro. Two types of explants were used: the whole embryos and embryos with a removed root part. The removal of the root part inhibited the organogenesis of the embryonic root and the first shoot, which allowed the accumulation of nutrients for the growth of the callus mass and increased the frequency by 7.79±0.46%. Various exogenous phytohormones such as Kinetin, 6-BAP, GA, IBA were added to the MS culture medium. A decrease in Kinetin concentrations of 0.04 mg/L resulted in a lower intensity, but a higher frequency of formation (72.00±5.66%) and mass gain. The average concentration up to 0.5 mg/L of exogenous phytoregulators, such as GA and 6-BAP, resulted in frequency from 65.38±5.44% to 72.00±5.66%, the concentration of IBA up to 1 mg/L increased the frequency from 46.00±2.83 to 72.00±5.66%. The protocol for obtaining callus from an embryonic explant and the composition of the optimal nutrient medium for the induction of callusogenesis made it possible to obtain P. ledebouriana meristem tissues for further use in the development of callus cryopreservation technology.
Efficient calculation of optical properties of suspended-core fiber via a machine learning algorithm
Authors: Yuan Shuyu , Chen Shengchao , Yang Jianli , Yang Qian , Ren Sufen , Wang Guanjun , Yu Benguo 
Published: June 2022

Growing nonlinearity demands in mid-infrared applications place more outstanding requirements on fiber structure design. Chalcogenide suspended-core fibers (SCFs) are considered excellent candidates for mid-infrared applications due to their significant advantages in nonlinearity and dispersion management. However, traditional numerical methods for accurate modeling and optimization of SCFs often rely on the performance of computing devices and have many limitations when dealing with complex models. A machine learning algorithm is applied to calculate the optical properties of chalcogenide SCFs, including effective mode area, nonlinear coefficient, and dispersion. The established artificial neural network (ANN) model enables accurate prediction of the above optical properties of

A

s
2

S
3

SCF, for which in the wavelength range of 1.0 to 4.0 µm, the radius of the fiber core is 0.4 to 0.6 µm, and width of the cantilever is 0.06 to 0.09 µm. We demonstrate that this simple ANN model has considerable advantages over the traditional numerical calculation model in computational speed and resource utilization. In summary, the proposed model can quickly provide more accurate optical property predictions, providing a cost-effective solution for precise modeling and optimization of chalcogenide SCFs.
Associations between healthcare utilization and access and diabetic retinopathy complications using All of Us nationwide survey data
Authors: Chan Alison X. , McDermott IV John J. , Lee Terrence C. , Ye Gordon Y. , Shahrvini Bita , Radha Saseendrakumar Bharanidharan , Baxter Sally L. 
Published: June 2022

Purpose
Inadequacies in healthcare access and utilization substantially impact outcomes for diabetic patients. The All of Us database offers extensive survey data pertaining to social determinants that is not routinely available in electronic health records. This study assesses whether social determinants were associated with an increased risk of developing proliferative diabetic retinopathy or related complications (e.g. related diagnoses or procedures).

Methods
We identified 729 adult participants in the National Institutes of Health All of Us Research Program data repository with diabetic retinopathy (DR) who answered survey questions pertaining to healthcare access and utilization. Electronic health record data regarding co-morbidities, laboratory values, and procedures were extracted. Multivariable logistic regression with bi-directional stepwise variable selection was performed from a wide range of predictors. Statistical significance was defined as p<0.05.

Results
The mean (standard deviation) age of our cohort was 64.9 (11.4) years. 15.2% identified as Hispanic or Latino, 20.4% identified as Black, 60.6% identified as White, and 19.3% identified as Other. 10–20% of patients endorsed several reasons for avoiding or delaying care, including financial concerns and lack of access to transportation. Additional significant social determinants included race and religion discordance between healthcare provider and patient (odds ratio [OR] 1.20, 95% confidence interval [CI] 1.02–1.41, p = 0.03) and caregiver responsibilities toward others (OR 3.14, 95% CI 1.01–9.50, p = 0.04).

Conclusions
Nationwide data demonstrate substantial barriers to healthcare access among DR patients. In addition to financial and social determinants, race and religion discordance between providers and patients may increase the likelihood of PDR and related complications.
Patterns of health service utilisation of mothers experiencing mental health problems and intimate partner violence: Ten-year follow-up of an Australian prospective mother and child cohort
Authors: Gartland Deirdre , Hegarty Kelsey , Papadopoullos Sandra , Brown Stephanie 
Published: June 2022

Objectives
Few studies have investigated health service use of mothers experiencing mental health problems or intimate partner violence (IPV). The aim of this study was to investigate health service utilisation of mothers experiencing mental health problems and intimate partner violence ten years after having a first baby.

Methods
Prospective cohort of 1507 first-time mothers recruited in Melbourne, Australia. Follow-up at ten years incorporated: Center for Epidemiologic Studies Depression Scale, Beck Anxiety Inventory, Posttraumatic Stress Disorder Checklist, Composite Abuse Scale.

Results
At ten years postpartum, one in four mothers (26.1%) reported depressive, anxiety or posttraumatic stress symptoms, and almost one in five (19.4%) reported recent IPV. Two-fifths of mothers reporting clinically significant mental health symptoms had experienced recent IPV (Odds Ratio = 5.6, 95% CI 3.9–8.1). Less than half of mothers experiencing mental health problems at ten-year follow-up had discussed their mental health with a general practitioner and around one in three had talked to a mental health professional. Two-thirds of mothers experiencing recent IPV had not disclosed this to a general practitioner or mental health professional.

Conclusions
The findings highlight the extent to which many women deal with IPV and mental health problems without the support that primary health care and mental health care could provide and point to the need for more concerted efforts to strengthen health system responses to these frequently related issues.
Social Media for the Dissemination of Educational Videos About Inflammatory Bowel Diseases
Authors: van Deen Welmoed K. , Simpson Mike , Dupuy Taylor P. , Khalil Carine , Bonthala Nirupama N. , Spiegel Brennan M.R. 
Published: June 2022

INTRODUCTION:
To broadly disseminate 5 user-centered educational videos for patients with inflammatory bowel disease and their family and friends on social media.

METHODS:
Relevant social media users were iteratively identified based on their online behavior. For each video, 2 different accompanying texts were tested.

RESULTS:
We reached 4.2 million social media users of whom 320,302 watched at least 50% of the video. A short description resulted in higher view rates than posing an open-ended question.

DISCUSSION:
We showed the feasibility of large-scale dissemination of health-related educational videos through social media. Our findings can inform future online dissemination approaches of educational content.
Changes in Epidemiology of Acetaminophen Overdoses in an Urban County Hospital After 20 Years
Authors: Long Apple , Magrath Melissa , Mihalopoulos Meredith , Rule Jody A. , Agrawal Deepak , Haley Robert , Kleinschmidt Kurt , Lee William M. 
Published: June 2022

INTRODUCTION:
Acetaminophen (APAP) toxicity is the main cause of acute liver failure in the United States. A prior series (1992–1995) identified 71 hospitalized adults with APAP toxicity through the International Statistical Classification of Disease and Related Health Problems, 9th revision (ICD-9) code at Parkland Hospital, Dallas, TX.

METHODS:
We used a laboratory database search of serum APAP levels from 2011 to 2015 to identify patients with APAP toxicity in the same hospital.

RESULTS:
We identified 140 patients hospitalized for APAP toxicity from 27,143 APAP levels obtained; 35 required Intensive Care Unit (ICU) admission, and there were no deaths. APAP toxicity/100,000 admissions was similar between eras.

DISCUSSION:
APAP toxicity continues unabated after 20 years but with improved overall outcomes.
Perencanaan PLTS Roof Top On-Grid Untuk Gedung Kantor PLTU Amurang Sebagai Upaya Mengurangi Auxiliary Power dan Memperbaiki Nilai Nett Plant Heat Rate Pembangkit
Authors: Burhandono Ardian , Windarta Jaka , Sinaga Nazaruddin 
Published: June 2022

Pembangkit listrik adalah kumpulan dari beberapa mesin yang sumber utamanya dari listrik tergabung dalam beberapa sistem atau sub sistem untuk menjalankan proses produksi menghasilkan energi listrik. Tidak semua listrik yang di hasilkan dari Generator disalurkan ke pelanggan namun juga ada listrik yang di pakai sendiri untuk menggerakkan motor-motor listrik atau tempat-tempat lain yang memerlukan listrik yang ada di dalam area pembangkit tersebut. Saat ini kebutuhan listrik untuk gedung kantor diambilkan dari unit pembangkit PLTU Amurang sehingga membebani auxiliary power pembangkit tersebut. Perencanaan pembangunan PV sel surya roof top on grid sebagai salah satu alternatif sebagai sumber energi listrik di kantor PLTU Amurang sehingga bisa mengurangi auxiliary power pembangkit utama dan memperbaiki Nett Plant Heat Rate (NPHR). Hasil perhitungan diperlukan 6 modul panel sel surya dengan nominal power per panel 300 Wp dan satu inverter kapasitas 2000 W dengan estimasi biaya Rp 71.500.000,-. Setelah pemasangan PLTS, terdapat perkiraan penghematan rata-rata 133 kWh setiap bulan dan nilai NPHR mengalami penurunan minimal 20,15 kCal/kWh setiap bulannya yang menandakan unit pembangkit utama semakin efisien.