bluuebunny/crossref_metadata_2025_split huggingface dataset:
Penggunaan Software Wireshark untuk Monitoring dan Troubleshooting pada Komunikasi Client Server IEC 61850
Authors: Said Al Manshury Muhammad 
Published: November 2023

Pengiriman data (status, pengukuran, kontrol) antara Sistem Otomasi Gardu Induk (SOGI) berbeda dengan Gardu Induk Konvensional. GI Konvensional menggunakan kabel (hardwired) untuk mengirimkan data, sedangkan pada SOGI pengiriman data menggunakan komunikasi data via jaringan ethernet yaitu dengan menggunakan protokol IEC 61850. Protokol IEC 61850 saat ini banyak digunakan untuk komunikasi di dalam Gardu Induk. Saat ini SOGI sudah banyak diterapkan di PLN, di mana protokol IEC 61850 adalah protokol mandatory yang digunakan dalam SOGI. SOGI terdiri dari berbagai macam peralatan seperti : server, gateway, Intelligent Electronic Device (IED). Dalam pemeliharaan SOGI perlu dilakukan monitoring dan troubleshooting komunikasi IEC 61850 untuk memastikan data (status, pengukuran, kontrol) terkirim antar peralatan tersebut. Salah satu komunikasi IEC 61850 yang sering digunakan diantara adalah komunikasi client server (report). Untuk memonitor komunikasi IEC 61850 tersebut dibutuhkan IEC 61850 protocol analyzer seperti IED scout dari Omicron, IEC 61850 Test Suite Pro dari Trianglemicroworks, IEC 61850 Protocol Test Tool dari Ase systems atau IEC 61850 protocol analyzer yang lainnya. Semua protocol analyzer tersebut berbayar, sedangkan tidak semua unit PLN memiliki software protocol analyzer tersebut. Salah satu software alternatif yang bisa digunakan adalah wireshark, software ini gratis dapat digunakan untuk monitoring semua komunikasi yang berbasis ethernet, termasuk protokol IEC 61850. Dalam pengujian yang dilakukan dalam penelitian ini, dapat disimpulkan bahwa wireshark dapat digunakan untuk monitoring komunikasi IEC 61850 dengan menggunakan filter “mms” dan laptop untuk monitoring terpasang pasa port ethernet switch yang sudah di mirroring ke port peralatan SOGI yang berkomunikasi lewat komunikasi client server IEC 61850.
Design, Fabrication and Performance Evaluation of a Poultry Feed Pelleting Machine
Authors: Okwuchukwu Innocent Ani  , Rowland Iheanyichukwu Odinma  , John Ndubuisi Ani  
Published: November 2023

The poultry industry plays a crucial role in meeting the global demand for animal protein. To ensure optimal growth and productivity of poultry, the formulation and processing of high-quality feed are essential. Feed pelleting is a common method employed to enhance the nutritional value, digestibility, and handling characteristics of poultry feed. The machine which meant for the production of poultry feed pellets in good quantities, was designed, fabricated and its performance evaluation was carried out accordingly. The independent dual operated Poultry Feed Pelleting Machine permits constant production line since the prime mover (diesel engine) would be plunged into operation as at when due, that is, when electricity power supply failed. The materials used were locally sourced which included; mild steel, high carbon steel, aluminum, 3hp electric motor, prime mover and axle. The base materials are corn, soybean, wheat, rice bran, wheat bran, herbs, fish meal, groundnut cake etc. The machine functioned reliably at the throughput capacity of 95kg per hour and up to 800kg per day with 95% efficiency proved its high performing rate. Moreover, the study showed that useful information in designing pelleting machine that produced pellet optimally when the appropriate moisture condition for feed materials is considered ranging from 20% - 30% with temperature range of 500C-700C. The results indicate that the developed machine offers significant advantages in terms of pellet quality, production efficiency, and energy consumption compared to conventional pelleting methods. The developed machine is recommended to facilitate the production of poultry feed pellets for small scale and medium scale farmers.
Determinan dan Faktor Risiko Stunting pada Remaja di Indonesia : Literature Review
Authors: Alwi M. Akbar , Hamzah Hadzmawaty , Lewa Abd. Farid 
Published: November 2023

Latar Belakang: Stunting adalah kondisi gagal tumbuh pada balita karena kekurangan gizi kronis pada 1000 Hari Pertama Kehidupan (HPK). Stunting yang terjadi pada masa balita bisa berefek mengalami stunting pada saat remaja. Oleh sebab itu, status gizi seorang remaja sangat perlu diperhatikan sehingga dapat menhasilkan keturunan yang sehat. Metode: Penelitian ini merupakan peneltian literatur review dengan menggunakan google schoolar dan Pubmed sebagai sumber pencarian artikel. Hasilnya kemudian disajikan dalam bentuk narasi. Hasil: Determinan dan faktor risiko stunting pada remaja yaitu asupan zink, asupan protein dan sosial ekonomi (jumlah anggota keluarga). Kesimpulan: Asupan gizi (protein dan zink), dan kondisi sosial ekonomi (jumlah berkeluarga) merupakan faktor yang berpengaruh terhadap kejadian stunting pada remaja. Penelitian stunting pada remaja di Indonesia sangat perlu dilakukan karena referensi mengenai topik ini masih sangat terbatas.
Biochemical and hemostatic description of a thrombin-like enzyme TLBro from Bothrops roedingeri snake venom
Authors: Vilca-Quispe Augusto , Alvarez-Risco Aldo , Gomes Heleno Mauricio Aurelio , Ponce-Fuentes Emilio Alberto , Vera-Gonzales Corina , Zegarra-Aragon Herly Fredy Enrique , Aquino-Puma Juan Luis , Talavera-Núñez María Elena , Del-Aguila-Arcentales Shyla , Yáñez Jaime A. , Ponce-Soto Luis Alberto 
Published: November 2023

Objective: The current study’s objective is to characterize a new throm-bin-like enzyme called TLBro that was obtained from Bothrops roedingeris snake from a biochemical and hemostatic perspective.Methodology: One chromatographic step was used to purify it, producing the serine protease TLBro. Molecular mass was estimated by SDS-PAGE to be between reduced and unreduced by 35 kDa. Tryptic peptide sequencing using Swiss Prot provided the complete amino acid sequence. Expasy.org by conducting a search that is limited to Crotalinae snake serine proteases and displaying a high degree of amino acid sequence.Results: Ser (182) is inhibited by phenylmethylsulfonyl fluoride (PMSF), and TLBro demonstrated the presence of Asp (88) residues. It also deduced the positions of His (43) and Ser (182) in the set of three coordinated amino acids in serine proteases. It was discovered that this substrate had high specificity for BANA, Michaelis-Menten behavior with KM 0 point85 mM and Vmax 1 point89 nmoles -NA/L/min, and high stability between temperatures (15 to 70°C) and pHs (2 point0 to 10 point0). According to doses and incubation times, TLBro degraded fibrin preferentially on the B-chain; additionally, its activities were significantly diminished after preincubation with divalent ions (Zn2 and Cd2). When incubated with PMSF, a particular serine protease inhibitor, enzymatic activities and platelet aggregation were inhibited.Conclusion: The findings revealed distinct structural and functional differences between the serine proteases, adding to the information and assisting in the improvement of the structure-function relationship.
A predictive model for disease severity among COVID-19 elderly patients based on IgG subtypes and machine learning
Authors: Zhuang Zhenchao , Qi Yuxiang , Yao Yimin , Yu Ying 
Published: November 2023

ObjectiveDue to the increased likelihood of progression of severe pneumonia, the mortality rate of the elderly infected with coronavirus disease 2019 (COVID-19) is high. However, there is a lack of models based on immunoglobulin G (IgG) subtypes to forecast the severity of COVID-19 in elderly individuals. The objective of this study was to create and verify a new algorithm for distinguishing elderly individuals with severe COVID-19.MethodsIn this study, laboratory data were gathered from 103 individuals who had confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using a retrospective analysis. These individuals were split into training (80%) and testing cohort (20%) by using random allocation. Furthermore, 22 COVID-19 elderly patients from the other two centers were divided into an external validation cohort. Differential indicators were analyzed through univariate analysis, and variable selection was performed using least absolute shrinkage and selection operator (LASSO) regression. The severity of elderly patients with COVID-19 was predicted using a combination of five machine learning algorithms. Area under the curve (AUC) was utilized to evaluate the performance of these models. Calibration curves, decision curves analysis (DCA), and Shapley additive explanations (SHAP) plots were utilized to interpret and evaluate the model.ResultsThe logistic regression model was chosen as the best machine learning model with four principal variables that could predict the probability of COVID-19 severity. In the training cohort, the model achieved an AUC of 0.889, while in the testing cohort, it obtained an AUC of 0.824. The calibration curve demonstrated excellent consistency between actual and predicted probabilities. According to the DCA curve, it was evident that the model provided significant clinical advantages. Moreover, the model performed effectively in an external validation group (AUC=0.74).ConclusionThe present study developed a model that can distinguish between severe and non-severe patients of COVID-19 in the elderly, which might assist clinical doctors in evaluating the severity of COVID-19 and reducing the bad outcomes of elderly patients.
Hybrid UNet transformer architecture for ischemic stoke segmentation with MRI and CT datasets
Authors: Soh Wei Kwek , Rajapakse Jagath C. 
Published: November 2023

A hybrid UNet and Transformer (HUT) network is introduced to combine the merits of the UNet and Transformer architectures, improving brain lesion segmentation from MRI and CT scans. The HUT overcomes the limitations of conventional approaches by utilizing two parallel stages: one based on UNet and the other on Transformers. The Transformer-based stage captures global dependencies and long-range correlations. It uses intermediate feature vectors from the UNet decoder and improves segmentation accuracy by enhancing the attention and relationship modeling between voxel patches derived from the 3D brain volumes. In addition, HUT incorporates self-supervised learning on the transformer network. This allows the transformer network to learn by maintaining consistency between the classification layers of the different resolutions of patches and augmentations. There is an improvement in the rate of convergence of the training and the overall capability of segmentation. Experimental results on benchmark datasets, including ATLAS and ISLES2018, demonstrate HUT's advantage over the state-of-the-art methods. HUT achieves higher Dice scores and reduced Hausdorff Distance scores in single-modality and multi-modality lesion segmentation. HUT outperforms the state-the-art network SPiN in the single-modality MRI segmentation on Anatomical Tracings of lesion After Stroke (ATLAS) dataset by 4.84% of Dice score and a large margin of 40.7% in the Hausdorff Distance score. HUT also performed well on CT perfusion brain scans in the Ischemic Stroke Lesion Segmentation (ISLES2018) dataset and demonstrated an improvement over the recent state-of-the-art network USSLNet by 3.3% in the Dice score and 12.5% in the Hausdorff Distance score. With the analysis of both single and multi-modalities datasets (ATLASR12 and ISLES2018), we show that HUT can perform and generalize well on different datasets.Code is available at: https://github.com/vicsohntu/HUT_CT.
miR482f and miR482c-5p from edible plant-derived foods inhibit the expression of pro-inflammatory genes in human THP-1 macrophages
Authors: Díez-Sainz Ester , Lorente-Cebrián Silvia , Aranaz Paula , Amri Ez-Zoubir , Riezu-Boj José I. , Milagro Fermín I. 
Published: November 2023

BackgroundEdible plants can exert anti-inflammatory activities in humans, being potentially useful in the treatment of inflammatory diseases. Plant-derived microRNAs have emerged as cross-kingdom gene expression regulators and could act as bioactive molecules involved in the beneficial effects of some edible plants. We investigated the role of edible plant-derived microRNAs in the modulation of pro-inflammatory human genes.MethodsMicroRNAs from plant-derived foods were identified by next-generation sequencing. MicroRNAs with inflammatory putative targets were selected, after performing in silico analyses. The expression of candidate plant-derived miRNAs was analyzed by qPCR in edible plant-derived foods and their effects were evaluated in THP-1 monocytes differentiated to macrophages. The bioavailability of candidate plant miRNAs in humans was evaluated in feces and serum samples by qPCR.ResultsmiR482f and miR482c-5p are present in several edible plant-derived foods, such as fruits, vegetables, and cooked legumes and cereals, and fats and oils. Transfections with miR482f and miR482c-5p mimics decreased the gene expression of CLEC7A and NFAM1, and TRL6, respectively, in human THP-1 monocytes differentiated to macrophages, which had an impact on gene expression profile of inflammatory biomarkers. Both microRNAs (miR482f and miR482c-5p) resisted degradation during digestion and were detected in human feces, although not in serum.ConclusionOur findings suggest that miR482f and miR482c-5p can promote an anti-inflammatory gene expression profile in human macrophages in vitro and their bioavailability in humans can be achieved through diet, but eventually restricted at the gut level.
Patient-reported symptoms and diagnostic journey in Multiple Myeloma
Authors: Vijjhalwar Rohit , Song Kaiyang , Shrestha Roshi , Bowcock Stella , Sanchez-Santos Maria T. , Ramasamy Karthik , Javaid Muhammad Kassim 
Published: November 2023

IntroductionLate presentation of multiple myeloma (MM) heightens the risk of complication risks, including end-organ damage. This study aimed to: 1) detail the diagnostic journey of MM patients, encompassing symptoms, initial diagnoses, and healthcare professionals met; 2) establish the median duration from symptom onset to MM diagnosis; and 3) examine factors linked to timely MM diagnosis within 12 weeks. MethodsA total of 300 adults self-reporting MM were analysed from the Rare and Undiagnosed Diseases cohort Study (RUDY). The RUDY study is a web-based platform, where participants provide dynamic consent and self-report their MM diagnosis and information about their diagnostic journey. This includes the estimated date of initial potential first symptoms, descriptions of these symptoms, the healthcare professionals they consulted, and other diagnoses received before the MM diagnosis. Descriptive statistics, combinatorial analyses and logistic regression analyses were used to describe and examine the diagnostic journey of individuals with MM.ResultsOverall, 52% of the participants reported other diagnoses before MM diagnosis, with musculoskeletal disorders (47.8%), such as osteoporosis, costochondritis, or muscle strains, being the most common. The most prevalent initial reported symptom was back pain/vertebral fractures (47%), followed by chest/shoulder pain, including rib pain and fractures (20%), and fatigue/tiredness (19.7%). 40% of participants were diagnosed by direct referral from primary care to haematology without seeing other healthcare professionals whilst 60% consulted additional specialists before diagnosis. The median time from symptom onset to MM diagnosis was 4 months (IQR 2-10 months, range 0-172). Seeing an Allied Healthcare Professional such as a physiotherapist, chiropractor or an osteopath (OR = 0.25, 95% CI [0.12, 0.47], p &lt;0.001), experiencing infection symptoms (OR = 0.32, 95% CI [0.13, 0.76], p = 0.013), and having chest or shoulder pain (OR = 0.45, 95% CI [0.23, 0.86], p = 0.020) were associated with a lower likelihood of being diagnosed with MM within 12 weeks. Older age (OR = 1.04, 95% CI [1.02, 1.07], p = 0.001) was associated with a higher likelihood of diagnosis within 12 weeks.DiscussionDeveloping resources for allied health professionals may improve early recognition of MM.
Neurodevelopmental outcome of low-risk moderate to late preterm infants at 18 months
Authors: Ryan Mary Anne , Murray Deirdre M. , Dempsey Eugene M. , Mathieson Sean R. , Livingstone Vicki , Boylan Geraldine B. 
Published: November 2023

BackgroundOf the 15 million preterm births that occur worldwide each year, approximately 80% occur between 32 and 36 + 6 weeks gestational age (GA) and are defined as moderate to late preterm (MLP) infants. This percentage substantiates a need for a better understanding of the neurodevelopmental outcome of this groupAimTo describe neurodevelopmental outcome at 18 months in a cohort of healthy low-risk MLP infants admitted to the neonatal unit at birth and to compare the neurodevelopmental outcome to that of a healthy term-born infant group.Study design and methodThis single-centre observational study compared the neurodevelopmental outcome of healthy MLP infants to a group of healthy term control (TC) infants recruited during the same period using the Griffith's III assessment at 18 months.ResultsSeventy-five MLP infants and 92 TC infants were included. MLP infants scored significantly lower in the subscales: Eye-hand coordination (C), Personal, Social and Emotional Development (D), Gross Motor Development (E) and General Developmental (GD) (p &lt; 0.001 for each) and Foundations of Learning (A), (p = 0.004) in comparison to the TC infant group with Cohen's d effect sizes ranging from 0.460 to 0.665. There was no statistically significant difference in mean scores achieved in subscale B: Language and Communication between groups (p = 0.107).ConclusionMLP infants are at risk of suboptimal neurodevelopmental outcomes. Greater surveillance of the neurodevelopmental trajectory of this group of at-risk preterm infants is required.
Validation of the Comprehensive Feeding Practices Questionnaire among parents of 5- to 7-year-old children in Sweden
Authors: Morris Zoë , Norman Åsa , Elinder Liselotte Schäfer , Patterson Emma , Warnqvist Anna , Raposo Sara , Sidney Annerstedt Kristi 
Published: November 2023

IntroductionParents’ behaviours towards food and mealtimes, also known as parental feeding practices, are important in the development of children’s eating habits. The Comprehensive Feeding Practices Questionnaire (CFPQ) was designed to measure parental feeding practices. The aim of this study was to evaluate the validity of the CFPQ in Sweden and to assess how it performs across different groups of people.MethodsData were from the baseline of a trial promoting children’s healthy dietary and physical activity behaviours, the Healthy School Start Plus intervention, conducted in 17 schools in the Stockholm region in Sweden. The CFPQ was completed by 263 parents (59% mothers) of 173 children, aged 5 to 7 years. Exploratory factor analysis and the omega reliability test were performed to identify the underlying factors in the data. Invariance testing was used to investigate the equivalence of these factors across parental sex, parental education and children’s weight status.ResultsFive factors were identified: monitoring of children’s food intake, pressure to eat, restriction of food, use of food for emotional regulation, and healthy eating guidance. All five factors were invariant across parental sex and education, though some questions were excluded to achieve invariance. The monitoring, pressure to eat and emotional regulation factors were invariant across children’s weight status.DiscussionThese results suggest that the CFPQ is valid for use in Sweden, amongst parents of children aged 5 to 7 years. The measurement invariance allows for comparisons of all five underlying factors across mothers and fathers and parental education levels, though across children’s weight status for only three factors. Due to the importance of parental feeding practices throughout childhood, this questionnaire should also be validated in other age groups in Sweden.
Acute exposure to diesel particulate matter promotes collective cell migration in thyroid cancer cells
Authors: Cheng Sheena Yi-Hsin , Huang Shih-Yuan , Cheng Shih-Ping 
Published: November 2023

Several ecological studies suggest that ambient air pollution is associated with the occurrence of thyroid cancer. In this study, we used certified diesel particulate matter as a proxy for fine particulate matter. Human thyroid cancer cell lines 8505C and TPC-1 were incubated with different concentrations of NIST1650b for 5 days and subjected to functional assays. We found that NIST1650b treatment did not affect short-term cell growth but reduced colony formation at high concentrations. Notably, NIST1650b-treated cells showed altered morphology toward cluster coalescence following treatment. Wound healing assays revealed that leading-edge cells formed protruding tips while maintaining cell-cell adhesion, and a significantly higher ratio of wound closure following treatment at 10 μg/mL was seen in both cell lines. A weak stimulatory effect on transwell cell migration was observed in 8505C cells. Taken together, our results suggest that fine particulate matter induced a coherent phenotype accompanied by augmented collective cell migration in thyroid cancer cells.
Coniolariella gamsii Causes Poplar Leaf Spot Disease in Xinjiang, China
Authors: Liu Chuli , Lu Hailong , Chen Hongjin , Chen Shuikang , Wang Caixia , Zhou Zhiyong , Ma Rong 
Published: November 2023

Populus laurifolia is one of the most valuable tree species in the world and an important silvicultural tree species in the Xinjiang Uygur Autonomous Region, China. In July 2017, an unreported brown leaf spot disease was observed on P. laurifolia in Altay City, Xinjiang. The causal agent of this leaf spot disease was isolated, and Koch’s postulates were performed to confirm its pathogenicity. Based on a morphological characterization and phylogenetic analyses, the causal organism was identified to be a fungal species, Coniolariella gamsii. The optimum mycelial growth conditions for C. gamsii are on PLPDA (Populus leaves potato dextrose agar) medium, at 28 °C, in the dark. The sporulation time when using PLPDA medium (12 days) is much less than that for PDA medium (25 days). Pathogenicity tests revealed that C. gamsii can also infect two other Populus species (P. bolleana and P. tomentosa). This is the first report of C. gamsii causing brown leaf spot disease on P. laurifolia, and the optimum culture and sporulation conditions have also been optimized for the first time. This study provides a theoretical basis for the diagnosis of this disease and the monitoring of the disease’s occurrence and epidemic status.
Russian ecosystems participant banks: specifics of activity, growth and development opportunities
Authors: Sokolova V. V. 
Published: November 2023

New realities of social development dictate the need to transform established business models into a modern format. This trend has not bypassed the banking sector: a number of credit institutions have outlined a further strategy for their development within the framework of an ecosystem model of doing business, with varying degrees of participation of banks in the activities of such platforms noted.The work examines the main controversial issues about the essence of ecosystems, as well as the prerequisites for their formation in the national financial market, identifies the reasons for the transition of banks from a traditional business model to an ecosystem one, defines specific criteria for classifying organizations as an ecosystem, and identifies the features of the functioning of the largest national ecosystems built with direct participation of Russian commercial banks, their comparative characteristics were made. It is concluded that the transformation of the traditional banking business model into an ecosystem one opens up new opportunities for credit institutions for growth and development.