bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH LAMANYA BENIH SETELAH JATUH DARI POHON DAN LAMA PERENDAMAN TERHADAP PERKECAMBAHAN MERSAWA (Anisoptera marginata Korth.)
Authors: Hayati Sirul , Achmad Basir , Fitriani Adistina 
Published: October 2023

Testing the effect of "length of time after falling from the tree" (seed age) and soaking time on mersawa germination aims to analyze the germination rate and percentage of germinating mersawa seeds. The factors studied were LBSJP which consisted of 2 months and 1 month, and soaking of red onion extract which consisted of soaking time of 12 hours (without red onion extract/control), 6 hours, 9 hours, 12 hours, and 15 hours with red onion extract. Based on the Mann-Whitney U test, the two factors and their interactions did not have a significant effect on the variables analyzed (germination rate and germination percentage). However, the seeds with 1 month age germinated faster, namely 13 days compared to the 2 months aged seed, namely 16 days and also had a higher survival rate in seeds with 1 month age, namely 93.33% compared to 2 months, namely 60%. Furthermore, the soaking factor also did not significantly affect the germination rate and germination percentage; however, the seeds that germinated the fastest were the seeds that were seed age 1 month with soaking for 12 hours compared to the seeds that were aged 2 months with soaking for 15 hours using red onion extract.Pengujian pengaruh “lamanya benih setelah jatuh dari pohon” (LBSJP) dan lama perendaman terhadap perkecambahan mersawa bertujuan untuk menganalisis laju perkecambahan dan presentase berkecambah benih mersawa. Faktor yang diteliti adalah LBSJP yang terdiri dari 2 bulan dan 1 bulan, dan perendaman ekstrak bawang merah yang terdiri dari lama perendaman 12 jam (tanpa ekstrak bawang merah/konrol), 6 jam, 9 jam, 12 jam, dan 15 jam dengan ekstrak bawang merah. Berdasarkan Uji Mann-Whitney U, kedua faktor tersebut dan interaksinya tidak mememberikan pengaruh nyata terhadap variabel yang dianalisis (kecepatan berkecambah dan persentase berkecambah). Namun demikian benih yang LBSJP 1 bulan lebih cepat berkecambah yaitu 13 hari dibanding LBSJP 2 bulan yaitu 16 hari dan juga pada persentase hidup lebih tinggi pada benih yang LBSJP 1 bulan yaitu 93,33% dibandingkan 2 bulan yaitu 60%. Selanjutnya faktor perendaman juga tidak berpengaruh nyata terhadap laju perkecambahan dan persentase berkecambah, namun demikian benih yang paling cepat berkecambah yaitu benih yang LBSJP 1 bulan dengan perendaman selama 12 jam dibandingkan benih yang LBSJP 2 bulan dengan perendaman selama 15 jam menggunakan ekstrak bawang merah.
PRODUKTIVITAS DAN RENDEMEN KERAJINAN ANYAMAN PURUN DANAU (Lepironia articulata Domin) DI DESA PEMBELACANAN KECAMATAN KELUMPANG SELATAN KABUPATEN KOTABARU
Authors: Abdan Sarwani , Abidin Zainal , Satriadi Trisnu 
Published: October 2023

The purpose of this study was to analyze the productivity and yield of purun danau woven crafts in the form of mats and tote bags of the community in Pembelacanan Village, South Kelumpang District, Kotabaru Regency. Data were collected through direct observation in the field and interviews with craftsmen. One mat with a size of 250 x 125 cm2 can be processed with a working time of 9:12.44 or equivalent to 0.10-0.12 parts per hour. The processing of one tote bag with a size 25x15x21 cm3 takes 1:17.12 or the equivalent of 0.67-0.86 parts per hour. The average yield of woven mats is 82.68%, and tote bag is 71.81%.Tujuan dari penelitian ini ialah menganalisis besarnya produktivitas dan rendemen kerajinan anyaman purun danau berupa tikar, dan tas binting dari masyarakat di Desa Pembelacanan Kecamatan Kelumpang Selatan Kabupaten Kotabaru. Data dikumpulkan melalui pengamatan langsung di lapangan dan wawancara dengan para pengrajin. Satu buah purun dengan ukuran 250 x 125 cm2 dapat diolah dengan waktu pekerjaan selama 9:12.44 atau setara dengan 0,10-0,12 bagian per jam. Pengolahan satu buah tas binting berukuran 25x15x21 cm3 memerlukan waktu 1:17.12 atau setara dengan 0,67-0,86 bagian per jam. Rata-rata rendemen kerajinan anyaman tikar adalah 82,68%, dan tas binting sebesar 71,81%.
A rapid review módszerének kísérleti alkalmazása a nyelvtudományban. Szakirodalmi áttekintés az iskolai szövegalkotással kapcsolatos magyar nyelvű empirikus kutatásokról
Authors: Jakab Dorottya , P. Tóth Teodóra 
Published: October 2023

A szakirodalmi áttekintés a tudományos kutatómunkák elengedhetetlen lépése. A hazai tudományos munkákban a hagyományos szakirodalom-feltárási eljárások, a nemzetközi szakirodalomban azonban a részletesebb áttekintésre alkalmas gyakorlatok alkalmazása jellemző. A systematic review és rapid review az orvostudomány területéről származó, szigorú módszertannal rendelkező áttekintési mód, amely egy adott témához kapcsolódó tudományos munkák feltárását és feldolgozását teszi lehetővé. Mivel a hazai gyakorlatban nem jellemző ilyen áttekintések készítése, a tanulmány elsődleges célja, hogy a systematic review és a rapid review módszertanát ismertesse. Emellett a tanulmány bemutat egy olyan kísérletet is, amely a rapid review módszerét magyar nyelvű szakcikkek áttekintésében alkalmazza. Az áttekintés témája a szövegalkotás tanítása a közoktatásban. A kísérlet eredményei rámutatnak arra, miért lenne fontos egyre több szisztematizált áttekintés készítése magyar nyelven is.
Numerical solutions, Convergence and Global stability of delayed differential system with delay in the state variable of the Caputo derivative
Authors: Kumar Surendra , Sharma Abhishek , Singh Harendra Pal 
Published: October 2023

Abstract
The aim of this paper is to investigate the numerical solutions of delayed fractional differential equations (FDEs). A constant time delay is taken in the Caputo derivative of the state variable and also in the state variable. To obtain solutions, we extend the block boundary value method (BBVM) and show the convergence of the resulting scheme. Further, it is found that the order of convergence is $\min\{m,q-\delta+1\}$, where $m$ and $q$ are the order and block-size of the BBVM, respectively, and $\delta$ lies in between $0$ and $1$. In our methodology, we approximate the fractional-ordered derivative by a combination of the $m^{\text{th}}$-order BBVM and a $q^{\text{th}}$-order Lagrange interpolating polynomial. Lastly, we analyze the global stability of the numerical scheme and with the aid of some numerical examples, its computational effectiveness is proved. In examples, we analyse some fractional order delay differential systems and present a comparison of solutions for different fractional order derivatives. Furthermore, it is demonstrated that the global errors diminish as the order of the fractional derivative decreases, and this fact is supported by the theoretical order of convergence.
MSC Classification: 34K37 , 34D23 , 65L20
An Intelligent Computational Model with Dynamic Mode Decomposition and Attention Features for COVID-19 Detection from CT Scan Images
Authors: Babu Lokesh Sai Phani , Kumar S Sachin , Mohan Neethu , Krishankumar Raghunathan , Ravichandran K.S. , Senapati Tapan , Sikha O K 
Published: October 2023

Abstract
Coronavirus (COVID-19), an air-borne disease, has affected the lifestyle of people all around the world. The World Health Organization (WHO) classified the disease as a pandemic due to its rapid spread of infection. Tracing patients infected with Coronavirus has become a steep uphill process supervened by the limited availability of tests based on reverse transcription-polymerase chain reaction (RT-PCR), which calls for efficient and highly responsive detection and diagnostic methods. Recently, methodologies based on image processing have been proposed by various researchers, especially using deep learning-based models. However, most models need millions of parameters to learn the complex input-output relationships and demand massive computational resources. This paper proposes the detection of COVID-19 from CT scan images using deep convolutional neural networks (CNN). A dynamic mode decomposition (DMD) based attention-driven image enhancement is proposed to extract localized enhanced features from CT scan images. Localized features can improve the model's performance by making inferences about the complete object. Pre-trained deep CNN models including VGGNet, ResNet50, and InceptionV3, are then transfer-learned on the DMD-enhanced CT scan images for COVID-19 detection. The paper proposes a custom shallow CNN architecture for detecting COVID-19 using DMD-enhanced CT scan images. The custom shallow CNN with significantly reduced learnable parameters improves the accuracy of the model and reduces the computational burden. The performance of the CNN architectures (custom shallow CNN and transfer learned deep CNNs) is evaluated using benchmark performance metrics, including accuracy, precision, recall, and F1 score. The experimental results demonstrate that the proposed shallow CNN network trained on DMD-enhanced images can better detect COVID-19 and outperform existing architectures in accuracy and computational complexity. The accuracy obtained for the proposed shallow CNN network trained on DMD-enhanced images is around 92.3%, with an F1-score of 0.918.
Quantum Computation of Frequency-Domain Molecular Response Properties Using a Three-Qubit iToffoli Gate
Authors: Minnich Austin , Sun Shi-Ning , Marinelli Brian , Koh Jin Ming , Kim Yosep , Nguyen Long , Chen Larry , Kreikebaum John Mark , Santiago David , Siddiqi Irfan 
Published: October 2023

Abstract

The quantum computation of molecular response properties on near-term quantum hardware is a topic of substantial interest. Computing these properties directly in the frequency domain is desirable, but the circuits require large depth if the typical hardware gate set consisting of single- and two-qubit gates is used. While high-fidelity multipartite gates have been reported recently, their integration into quantum simulation and the demonstration of improved accuracy of the observable properties remains to be shown. Here, we report the application of a high-fidelity multipartite gate, the iToffoli gate, to the computation of frequency-domain response properties of diatomic molecules. The iToffoli gate enables a ~50% reduction in circuit depth and ~40% reduction in circuit execution time compared to the traditional gate set. We show that the molecular properties obtained with the iToffoli gate exhibit comparable or better agreement with theory than those obtained with the native CZ gates. Our work is among the first demonstrations of the practical usage of a native multi-qubit gate in quantum simulation, with diverse potential applications to near-term quantum computation.
A wireless W-band 3D-printed temperature sensor operating beyond 1000 °C
Authors: Sánchez-Pastor Jesús , Kadĕra Petr , Sakaki Masoud , Jakoby Rolf , Lacik Jaroslav , Benson Niels , Jiménez-Sáez Alejandro 
Published: October 2023

Abstract

In addressing high-temperature sensing (above 500 °C), there is a gap in available chipless and wireless sensor systems operating near the high end of the microwave frequency range. This study introduces a novel dielectric wireless temperature sensor, leveraging high-Q cavities within a three-dimensional photonic crystal (PhC). To increase the readout range, a flattened Luneburg lens is added on top of the PhC structure. The sensor’s operating principle is based on detecting shifts in resonance frequency due to changes in the dielectric parameters of its conforming material over temperature. The sensor is 3D-printed using Lithography-based Ceramic Manufacturing in Alumina (Al2O3). Our empirical findings reveal that the sensor’s frequency-coded response, represented by two peaks at 83.5 GHz and 85.5 GHz, is clearly distinguishable at a distance of 50 cm and up to 1200 °C, the maximum capability of our furnace. Furthermore, we draw comparisons between the sensor’s performance and existing material characterization methods, particularly in estimating Al2O3’s dielectric permittivity and losses, with the latter showing a good agreement with literature values. Due to the employed materials, the sensor is suitable for millimeter-wave applications in dynamic, cluttered high-temperature scenarios.
Effects of tree species identity and soil origin on soil nematode communities and trophic composition in coniferous and broad-leaved forests
Authors: Kitagami Yudai , Suzuki Kohei , Matsuda Yosuke 
Published: October 2023

Abstract
Purpose
The effects of trees on soil nematode communities are related to nutrient cycles in forest ecosystems. We conducted greenhouse pot experiments to determine the effects of coniferous and broad-leaved tree species on soil nematodes.
Methods
Soils were collected from a coniferous plantation and broad-leaved forests. Seedlings of a coniferous tree (Cryptomeria japonica) and a broadleaved tree (Quercus serrata) were planted in soils derived from each species. After 11 months, seedling biomass, soil properties, and ectomycorrhizal fungal colonization of Q. serrata were measured. Soil nematodes were morphologically identified to the genus/family level and differentiated by community and trophic composition.
Results
C. japonica root biomass was significantly higher than that of Q. serrata regardless of the soil and nematode community structures were significantly different between the species. The fungal: bacterial ratio and density of fungivorous nematodes were significantly higher in broad-leaved soils. Herbivorous nematodes increased significantly in C. japonica seedlings grown in broad-leaved soils. Structural equation modeling indicated that soil origin and tree species directly regulated nematode trophic compositions.
Conclusion
Our findings suggest that tree species modify soil micro-food webs by affecting microbial abundance and nematode trophic composition. Specifically, C. japonica, with a larger root biomass, increased the number of herbivorous nematodes, whereas Q. serrata, with ectomycorrhizal fungal symbiosis, increased the number of fungivorous nematodes. Thus, tree species are tightly involved in shaping nematode communities in forest ecosystems through root traits and mycorrhizal types.
A new molecule reduces the cocoon production loss in the BmNPV infected Bombyx mori larvae rearing
Authors: Cisneros Jully Jesus de la Cruz , Cabral Lucas Costa , Caligari Daniel , Silva Alessandra Aparecida , Chiarello Alex Sandro Gularte , Ribeiro Lucinéia de Fátima Chasko , Costa Rose Meire , Gigliolli Adriana Aparecida Sinópolis , Lapenta Ana Silvia , Ramos Anelise Cardoso , Seixas Flávio Augusto Vicente , Fernandez Maria Aparecida 
Published: October 2023

Abstract

Bombyx morinucleopolyhedrovirus, BmNPV, is the pathogen that causes mortality by the grasserie disease in larvalBombyx mori(Lepidoptera:Bombycidae). A molecule named Bm5 was reported as an inhibitor candidate of viral cathepsin (v-cath), which may protectB. morifrom this disease. This study evaluated the efficacy of Bm5 in reducing sericultural loss due to BmNPV. The assays were carried out usingB. morififth-instar hybrids that were inoculated with BmNPV and treated with Bm5. We recorded biological and productive variables to verify the effectiveness of the Bm5 treatment. Data on biological and economic parameters showed that the larval survival rate of the BmNPV-infected and Bm5-treated groups was 35.6% higher than that of the untreated BmNPV group. In addition, the pupae from the Bm5 treatment group survived and produced good-quality cocoons. The results of esterase dosage from the midgut and fat body showed that no change was detected in isoenzyme expression in BmNPV-infected larvae, regardless of Bm5 treatment. In conclusion, the Bm5 molecule may be used as a curative treatment to reduce the loss in silk production whenB. morilarvae are infected by BmNPV.
Single-cell RNA sequencing reveals the follicle microenvironment of patients with premature ovarian insufficiency
Authors: Han Ying , Diao Junrong , Wang Xin-Yan , Zhang Shuai , Yuan Lina , Ping Yaqiong , Gao Ge , Zhang Yunshan , Luo Haining 
Published: October 2023

Abstract
Background
Premature ovarian insufficiency (POI) has a highly heterogeneous etiology, but its pathogenesis remains unclear.
Methods
To investigate the follicle microenvironment of POI patients and identify potential targeted therapeutic strategies, we performed scRNA-seq on follicular fluid samples from normal individuals, older persons, and POI patients.
Results
A total of 87,323 cells were isolated and grouped into six clusters, T cells, B cells, neutrophils, basophils, mononuclear phagocytes, and granular cells. Further analysis demonstrated that the proportions of granulosa cells 6, which are characterized by high expression levels of MALAT1, NEAT1, XIST, KCNQ1OT1, and AC016831.5, and monocytes (characterized by high VCAN expression) were elevated in older individuals and POI patients, whereas the population of GDT cells (which express TRGC1 and TRDC) was decreased. We also found that the genes that were differently expressed in GDT cells and monocytes were enriched for ribosome and endoplasmic reticulum-related pathways. Moreover, the monocytes from older individuals and POI patients did not exhibit VEGFA/FLT1 interaction. These data suggest that the loss of VEGFA/FLT1 interaction in monocytes, along with enhanced ER and ribosome pathways may drive excess inflammation, which accelerates GC senility and the state of infertility.
Conclusions
This study provides new insights into the pathogenesis of POI and aging and highlights VEGFA/FLT1 interaction as a potential therapeutic strategy for reducing inflammation and treating POI.
Co-occurrence of obesogenic behaviors and their implications for mental health during the COVID-19 pandemic: a study with university students
Authors: Barbosa Bruna Carolina Rafael , Mendonça Raquel de Deus , Meireles Adriana Lúcia 
Published: October 2023

Abstract

Background
The university years are a critical period for young adults, as they are more exposed to obesogenic behaviors and experience stressful situations that compromise their mental health. This study aims to estimate the prevalence of anxiety and depression symptoms and evaluate the association between the combined occurrence of obesogenic behaviors among university students.
Methods
A cross-sectional study was conducted on students from a public university in Brazil during the COVID-19 pandemic. Data were collected from July to August 2020 using an online questionnaire. The outcome variables (anxiety and depression symptoms) were assessed using the Depression, Anxiety and Stress Scale-21 (DASS-21). The co-occurrence of obesogenic behaviors was measured based on irregular consumption of fruits and vegetables, frequent consumption of ultra-processed foods, physical inactivity during leisure time, and sedentary behavior. A Venn diagram was used for the exploratory analysis. To verify the association between the outcome and explanatory variables, a directed acyclic graph model was constructed, and multivariate logistic regression was performed to calculate odds ratios (ORs) and 95% confidence intervals (95%CIs).
Results
A total of 1,353 students aged 18–24 years participated in this study. Symptoms of anxiety and depression were present in 46.1% and 54.6% of the participants, respectively. The most prevalent combination of obesogenic behaviors was frequent consumption of ultra-processed foods, physical inactivity during leisure time, and sedentary behavior (17.2%). The greater the number of simultaneous obesogenic behaviors, the higher the chance to present symptoms of anxiety [OR: 2.81 (95%CI: 1.77–4.46)] and depression [OR: 3.46 (95%CI: 2.20–5.43)].
Conclusion
These findings reinforce the need to take actions to promote mental health in the university environment in conjunction with programs to promote a healthy lifestyle and improve the physical and mental well-being of students.
Role of dietary interventions on microvascular health in South-Asian Surinamese people with type 2 diabetes in the Netherlands; a randomized controlled trial
Authors: Berg Bernard van den , Velden Anouk van der , IJpelaar Daphne , Shaw Prataap Chandie , Pijl Hanno , Vink Hans , Vlag Johan van der , Rabelink Ton 
Published: October 2023

Abstract
BACKGROUND/OBJECTIVES: We investigated whether dietary interventions, i.e. a fasting mimicking diet (FMD, Prolon®) or glycocalyx mimetic supplementation (EndocalyxTM) could stabilize microvascular function in Surinamese South-Asian patients with type 2 diabetes (SA-T2DM) in the Netherlands, a patient population more prone to develop vascular complications.
SUBJECTS/METHODS: A randomized, placebo controlled, 3-arm intervention study was conducted in 56 SA-T2DM patients between 18 and 75 years old, for 3 consecutive months, with one additional follow up measurement 3 months after the last intervention. Linear mixed models and interaction analysis were used to investigate the effects the interventions had on microvascular function.
RESULTS: Despite a temporal improvement in BMI and HbA1c after FMD the major treatment effect on microvascular health was worsening for RBC-velocity independent PBRdynamic, especially at follow-up. Glycocalyx supplementation, however, reduced urinary MCP-1 presence and improved both PBRdynamic and MVHSdynamic, which persisted at follow-up.
CONCLUSIONS: We showed that despite temporal beneficial changes in BMI and HbA1c after FMD, this intervention is not able to preserve microvascular endothelial health in Dutch South-Asian patients with T2DM. In contrast, glycocalyx mimetics preserves the microvascular endothelial health and reduces the inflammatory cytokine MCP-1.
Identification, bioinformatics analysis, and expression profiling of the bHLH supergene family members in Beta vulgaris
Authors: Yang Haizhu , Peng Zhonghua , Xue Guoxing , Wu Weijiao , Zhou Hui , Yao Xin , Ma Chao , He Ailing , Ruan Jingjun 
Published: October 2023

Abstract
Background
Basic helix-loop-helix (bHLH) is one of the largest families of transcription factors in plants, animals, and microorganisms and plays an important complex physiological role in plant growth and development, metabolic regulation, and adversity stress. With the development of bioinformatics, bHLH transcription factor families have been continuously identified and analyzed, but the bHLH family of Beta vulgaris has not yet been analyzed and reported.
Results
Using whole-genome sequencing data from B. vulgaris, we identified 96 BvbHLHs genes with relatively large differences in physicochemical properties that were unevenly distributed across nine chromosomes. A phylogenetic developmental tree was constructed using the BvbHLH and AtbHLH proteins, which were ultimately categorized into 21 subgroups and one unclassified group. The gene structure, conserved motifs, gene duplication events, and evolutionary relationships of the 96 BvbHLH genes were analyzed using various bioinformatics approaches. The results showed that motifs 1 and 2 were widely distributed in BvbHLHs, had highly conserved gene structures within the same subfamily, presence of four tandem duplication events, and six pairs of segmental duplication events, and were more closely homologous to dicotyledonous plants. We also analyzed the tissue-specific expression of 12 BvbHLH genes during B. vulgaris maturity and their responses to eight abiotic stresses using quantitative real-time polymerase chain reaction.
Conclusions
A total of 96 BvbHLH genes were identified. Bioinformatics analysis of the gene structure, evolutionary relationship, and expression pattern of the B. vulgaris bHLH gene family lays a foundation for the evolution of the bHLH gene family and the screening of candidate genes in B. vulgaris.