bluuebunny/crossref_metadata_2025 huggingface dataset:
Sistem Informasi Pemesanan Jasa Percetakan Berbasis Web (Pada CV Mitra Jaya)
Authors: Setiawan Wahyu , Putra Ade Dwi , Permata Permata
Published: November 2023

Penelitian ini dilakukan untuk membuat sebuah Sistem Informasi Pemesanan Jasa Percetakan Berbasis Web pada CV Mitra Jaya. Seiring berjalanya waktu disaat pesanan semakin banyak pengelolaan manajemen pemesanan semakin rumit dan memunculkan masalah yaitu dikarenakan banyak nya pesanan setiap nota pemesanan tidak memiliki no antrian yang sehingga petugas mengalami kebingungan dalam antrianÂ  produk yang akan didahulukan untuk dicetak, masalah ini merupakan kelemahan dalam hal monitoring proses kerja percetakan. Adapun juga dalam proses penyimpanan arsip nota atau faktur penjualan dan pembelian bahan baku hanya ditumpuk kedalam sebuah lemari penyimpanan dan dicatat dalam buku transaksi sehingga disaat akhir bulan akan melakukan rekapitulasi tidak sama dengan jumlah biaya produksi. Kemudian informasi mengenai persediaan bahan baku tidak akurat masih perkiraan saja hal ini mengakibatkan proses produksi tertunda jika bahan baku belum siap ataupun tidak tersedia. Pengujian akan menggunakan ISO 25010, berdasarkan hasil pengujian kelayakan faktor Usability produk yaitu usability yang mencapai nilai 75%, menurut range penilaian kategori Usability
Sistem Pembelajaran Daring Di SMP N 1 Air Naningan
Authors: Saputra Bima , Lathifah Lathifah
Published: November 2023

Kemajuan teknologi informasi saat ini telah memberi manfaat yang besar dalam dunia pendidikan,pembangunan website sekolah dan pembangunan sistem E-learning berbasis web adalah contoh dari pemanfaatan teknologi informasi. Dengan teknologi informasi memungkinkan untuk melakukan proses pembelajaran yang dapat diakses secara online dengan menggunakan media internet. SMP Negeri 1 Air Naningan salah satu sekolah yang ada di kabupaten Tanggamus. Pada dasarnya SMP Negeri 1 Air Naningan telah menerapkan belajar online dengan menggunakan aplikasi google meet dan zoom. Namun aplikasi yang digunakan tidak memiliki fitur absensi dan penilaian, Sehingaa perlu dibuatkan sebuah sistem E-learning untuk mempermudah guru dan murid dalam melakukan kegiatan belajar mengajar. Pada penelitian ini menggunakan Extreme Programming sebagai metode pengembangan sistem dan menggunakan ISO 25010 untuk pengujiannya. Dari hasil Pengujian yang dilakukan, pada aspek functional suitability menghasilkan persentase sebesar 92% yang menunjukkan indikator bahwa sistem telah Sukses dan sesuai dengan fungsinya, sedangkan pada aspek usability menghasilkan persentase sebesar 82,93% yang menandakan bahwa responden Sangat Setuju bahwa sistem tersebut dibuat dan telah sesuai.
Sistem Informasi Pengajuan Cuti Pegawai Menggunakan Metode Pengujian Iso 25010 (Study Kasus : Pt Mutiara Ferindo Internusa)
Authors: Ardi Azizi Muhammad , Fenty Ariany , Lathifah Lathifah
Published: November 2023

PT Mutiara Ferindo Internusa adalah perusahaan yang bergerak pada bidang jasa angkutan penyebrangan yaitu penumpang dan kendaraan, dalam sistem pengajuan cuti karyawan saat ini masih dilakukan dan diproses secara manual dan karyawan harus datang langsung untuk mengajukan cuti. Metode pengembangan sistem menggunakan metode extreme programming dan perancangan sistem menggunakan UML.Implementasi sistem ini menggunakan Javascript dan MySQL sebagai database, serta pengujian sistem menggunakan ISO 25010 Hasil yang dicapai yaitu sistem informasi pengajuan cuti berbasis mobile, semua pegawai dapat mengakses selama 24 jam dalam pengajuan cuti maupun hanya sekedar melihat informasi cuti. Para pegawai tidak lagi harus menghubungi ke bagian kepegawaian, tetapi cukup dengan mengakses aplikasi yang dapat dilakukan melalui fasilitas internet dengan menggunakan aplikasi pengajuan cuti kepegawaian berbasis mobile sehingga proses pembuatan laporan cuti pegawai menjadi lebih mudah. Hasil pengujian ISO 25010 yang telah dilakukan mendapatkan hasil functionality admin memiliki presentasi 84,29%, functionality pimpinan memiliki presentase 92,73%, dan functionality karyawan memiliki presentase 94,36%. Dari sisi usuability memiliki presentase 89,96%. Â Â Â
“Yıldız, kuyruklu yıldız ve takımyıldızı” kavramlarına ilişkin öğrencilerin zihinsel modellerinin belirlenmesi ve eğitim düzeylerine göre karşılaştırılması
Authors: AYVACI Hakan Şevki , BEBEK Gürhan , YAMAÇLI Selenay , UÇMAK Cansu
Published: November 2023

Bu araştırmanın amacı, öğrencilerin “yıldız, takımyıldızı ve kuyruklu yıldız” kavramlarına ilişkin zihinsel modellerinin belirlenmesi ve bu modellerin eğitim düzeylerine göre karşılaştırılması sağlamaktır. Araştırmada betimsel araştırma yöntemleri içerisinde yer alan gelişimci araştırma yönteminin enlemesine araştırma modeli tercih edilmiştir. Araştırmanın katılımcı grubunu, Trabzon iline bağlı, 2021-2022 eğitim-öğretim yılında okul öncesinde, ilköğretimde, orta öğretimde ve üniversitede öğrenim görmekte olan toplam 140 öğrenci oluşturmaktadır. Öğrencilerin “yıldız, kuyrukluyıldız ve takımyıldızı” kavramlarına ilişkin zihinsel modellerinin belirlenmesi ve bu modellerin öğrencilerin eğitim düzeyine göre karşılaştırılması için çizim ve mülakat soruları veri toplama aracı olarak kullanılmıştır. Araştırmadan elde edilen mülakat verilerinin ve çizimlerin içerik analizi tekniğine tabii tutularak çözümlenmesi gerçekleştirilmiştir. Elde edilen sonuçlar dâhilinde okulöncesi dönem çocuklarından üniversite 4. Sınıf fen bilimleri öğretmen adaylarına kadar belirtilen kavramlarda kavram yanılgılarının olduğu ve bu kavram yanılgılarının yıllarca taşındığı ortaya konulmuştur. Okul öncesinden başlayarak her eğitim kademesinde çocukların ve öğrencilerin uzamsal düşünme, üç boyutlu düşünme ve yaratıcılık becerilerini teşvik etmeye ve geliştirmeye yönelik astronomi eğitimine önem verilmesi, bu kapsamda çeşitli eğitim öğretim etkinliklerinin geliştirilmesi gerekliliği ön plana çıkmaktadır. Bu doğrultuda, astronomi disiplininin içeriği ve konu alanı göz önüne alınarak disiplinlerarası perspektifte öğrenciye sunulması ve bu sunuma bağlı olarak beceri gelişimine katkı sağlayacak workshop, çalıştay, proje gibi çeşitli etkinlikler ile desteklenmesi önerilmiştir.
8 yaşındaki çocuklarda duygu durum öz-değerlendirme ölçeğinin Türk kültürüne uyarlanması: Geçerlik ve güvenirlik çalışması
Authors: ÖZENÇ İRA Gözde , GÜLTEKİN Mehmet
Published: November 2023

Çocukların duygu durumlarına ilişkin öz değerlendirmelerinin belirlenmesi, duygusal gelişimlerine uygun olarak etkili yöntemlerin geliştirilmesine katkı getirebilir. Bu çalışmanın amacı, Çocuklarda Duygu Durum Öz-Değerlendirme Ölçeğini (Mood Self-Assessment in Children from the Age of 7) 8 yaş grubundaki çocuklar için Türk kültürüne uyarlamaktır. Özgün ölçek Simoës-Perlant, Lemercier, Pêcher ve Benintendi-Medjaouedto (2018) tarafından geliştirilmiştir. Araştırmanın örneklemini, 2021-2022 eğitim-öğretim yılında Eskişehir ili, Tepebaşı ve Odunpazarı ilçelerinde bulunan devlet okullarında öğrenim gören gönüllülük esasına dayalı olarak uygun örnekleme yöntemiyle belirlenen 363 sekiz yaşındaki öğrenciler oluşturmaktadır. Özgün ölçek; sevinç, öfke, korku ve üzüntü olmak üzere dört alt boyuttan ve toplam 24 senaryo tipi maddeden oluşmaktadır. Yapılan Doğrulayıcı Faktör Analizi sonucunda ilişkili dört boyutlu ölçme modelinin iyi uyum verdiği (χ2/sd=1.96, RMSEA=0.051, SRMR= 0.053, CFI=0.95, GFI=0.90, NFI=0.90, IFI=0.95, NFI=0.97) ve maddelerin alt ölçeklere dağılımının özgün ölçekteki dağılımla aynı olduğu saptanmıştır. Madde-toplam korelasyonlarının Sevinç alt boyutunda 0,22-0,41, Öfke alt boyutunda 0,49-0,65, Korku alt boyutunda 0,47-0,57 ve Üzüntü alt boyutunda 0,44-0,58 arasında değiştiği görülmüştür. Ölçeğin genel iç tutarlılık katsayısı 0.84 olarak bulunmuştur. Ölçeğin Sevinç alt boyutu için 0.59, Öfke alt boyutu için 0.80, Kaygı alt boyutu için 0.75 ve Üzüntü alt boyutu için 0.84 olarak bulunmuştur. Bulgular, “8 Yaşındaki Çocuklarda Duygu-Durum Öz-Değerlendirme Ölçeğinin (ÇDÖÖ)” Türkçe formunun geçerli ve güvenilir bir ölçme aracı olduğunu göstermektedir.
Intraseasonal variation in extreme precipitation in southern China during winter 2015/16, and its precursors
Authors: Li C , Wu C
Published: November 2023

Extremely heavy rainstorms occurred over southern China during the winter of 2015/16, with record-breaking rainfall in the cold season. These extraordinary rainfalls were featured by pronounced intraseasonal variation in terms of both meridional displacement and amount of heavy precipitation. The main rain belt meandered around the lower reaches of the Yangtze River during December 2015, and then penetrated southward to the Pearl River basin with a dramatic increase in rainfall amount during January 2016. The intraseasonal features of heavy rainfall cannot be well explained by the quasi-steady El Niño condition, but are possibly governed by the circulation modulations at different latitudes. The transition of anomalous height from low to high over the Urals brought strong cold air outbreaks and therefore southward displacement of the main rain belt. This transition together with increased southwesterly flows in front of the deepened India-Burma trough led to strong moisture convergence and thus torrential rains during January 2016. These circulation transitions might be related to certain changes in the preceding ocean conditions. A negative Arctic sea-ice anomaly to the west of 90°E persisted throughout the winter, while the previously excessive Arctic sea ice over east of 100°E vanished in November 2015. This conversion from dipole to monopole structure of sea-ice anomalies could favor the development of the Ural highs and enhancement of cold air intrusion from the expanded Siberian highs. Additionally, the deepened India-Burma trough and further intensified southwesterly flows might be related to the warming sea surface temperature over the tropical Indian Ocean.
Intraspecific variability in flatback turtle habitat use: δ15N as an indicator of foraging locations
Authors: Abrantes K , Wildermann N , Miller IB , Hamann M , Limpus CJ , Madden Hof CA , Bell I , Sheaves M , Barnett A
Published: November 2023

Identifying migration routes and key habitats is critical for the management and conservation of migratory species. Tracking and stable isotope analysis (SIA), particularly of carbon (δ13C) and nitrogen (δ15N), are often used to study animal movements, with SIA particularly useful when animals move through isotopic gradients. Marine turtles are typically highly migratory, moving between nesting and foraging grounds often located 100s-1000s km apart. The flatback turtle Natator depressus is endemic to the Australian continental shelf. Satellite tracking (n = 44) and SIA (n = 33) of females nesting in eastern Queensland, Australia, were used to identify main foraging areas, describe intraspecific variation in the location of foraging areas, and determine if δ13C and/or δ15N values can be used to identify foraging regions. Although foraging grounds were widely dispersed, tracking identified 3 main foraging regions. SIA agreed with tracking, indicating foraging site fidelity. Generalized linear models and linear discriminant analysis (LDA) were used to estimate how well δ13C/δ15N and nesting sites can perform as indicators of broad foraging regions and to predict foraging regions for turtles with no tracking data. δ15N was a strong predictor of the foraging region. LDA correctly classified the foraging region of 94% of individuals and was suitable to predict foraging regions of untracked individuals. A strong negative linear relationship between turtle δ15N and foraging latitude indicates the presence of a δ15N isoscape along the eastern Queensland coast. This is the first demonstration of an isoscape for the region, which should be useful for studying and monitoring the habitat use of flatback turtles and other migratory species.
Phytoplankton community changes in relation to nutrient fluxes along a quasi-stationary front
Authors: Bendtsen J , Daugbjerg N , Jensen RS , Brady MC , Nielsen MH , Hansen JLS , Richardson K
Published: November 2023

The main strait (Great Belt) connecting the North Sea and the Baltic Sea constitutes a quasi-stationary front and exposes phytoplankton to various degrees of water column mixing. Here, we examine phytoplankton community distributions (using the cell abundance of 4 readily identifiable diatoms) and estimate new production along the strait during early spring. Vertical turbulent mixing was ~10 times greater at stations in the strait compared to stations outside the strait. New production in the strait was on average ~50 mg C m-2 d-1, i.e. 8% of the average total primary production, and could explain the increase in chlorophyll observed along the strait. A non-metric multidimensional scaling analysis of phytoplankton community composition showed significant spatial groupings. However, variation of species abundances could not be explained by the general transport, where the abundance of the largest species decreased during the passage of the strait. A relatively small species (Guinardia delicatula) showed an increasing dominance in and above the subsurface chlorophyll maximum along the strait, and the bottom layer was also correspondingly dominated by a relatively small species (Skeletonema marinoi). This phytoplankton composition could be explained by photosynthetic traits associated with more efficient light usage of small cells together with increased nutrient supply in the strait.
Effect of neridronate on axial involvement in patients with spondyloarthritis when biologics are not possible. Results of a monocentric study
Authors: Crotti Chiara , Di Taranto Raffaele , Orsini Francesco , Ferrito Matteo , Varenna Massimo , Favalli Ennio Giulio , Caporali Roberto
Published: November 2023

Introduction

This study aims to examine the potential effectiveness of intravenous neridronate (IVNer) on axial involvement in patients with spondyloarthritis (SpA) refractory to non-steroidal anti-inflammatory drugs (NSAIDs) but not eligible for biological disease-modifying antirheumatic drugs (bDMARDs).

Method

Patients with active SpA (BASDAI score ≥ 4) and active sacroiliitis (SI) on MRI (according to ASAS MRI definition), who were NSAID-insufficient responder/intolerant but not eligible for bDMARDs, were retrospectively recruited in a tertiary rheumatology centre between September 2015 and December 2021. IVNer (100 mg) was administered to the patients on days 1, 4, 7, and 10. Responses were evaluated 60 days after the last infusion as the median changes from the baseline of BASDAI and Visual Analogue Scale (VAS) pain and there are improvements on MRI signs.

Results

A total of 38 patients (26 axial SpA, 3 enteropathic arthritis, and 9 axial psoriatic arthritis) were included [66% women, mean age ± SD: 38.0 ± 14.1 years, mean disease duration: 30.5 ± 49.5 months (range 1.0–298), 47% HLAB27+]. The reason for bDMARD ineligibility was concurrent solid tumors (n = 6) or hematological (n = 1) malignancy, comorbidities (n = 11), or patient preference (n = 20). Both median BASDAI [5.83 (4.2–8.33) versus 3.66 (1.1–6.85), p < 0.001] and VAS pain [7 (5.75–8.0) versus 3 (1.0–7.0), p < 0.0001] significantly decreased after IVNer. Of 28 available MRI at follow-up, we observed a complete (36%) or partial (39%) resolution of sacroiliitis or a persistent activity (25%).

Discussion

IVNer was effective in improving axial involvement in patients with SpA refractory to NSAIDs but not eligible for bDMARDs. IVNer can be considered as a potential alternative therapeutic option in selected settings.
Soft-metal(loid)s induce protein aggregation in Escherichia coli
Authors: Cornejo Fabián A. , Muñoz-Villagrán Claudia , Luraschi Roberto A. , Sandoval-Díaz María P. , Cancino Camila A. , Pugin Benoit , Morales Eduardo H. , Piotrowski Jeff S. , Sandoval Juan M. , Vásquez Claudio C. , Arenas Felipe A.
Published: November 2023

Metal(loid) salts were used to treat infectious diseases in the past due to their exceptional biocidal properties at low concentrations. However, the mechanism of their toxicity has yet to be fully elucidated. The production of reactive oxygen species (ROS) has been linked to the toxicity of soft metal(loid)s such as Ag(I), Au(III), As(III), Cd(II), Hg(II), and Te(IV). Nevertheless, few reports have described the direct, or ROS-independent, effects of some of these soft-metal(loid)s on bacteria, including the dismantling of iron–sulfur clusters [4Fe-4S] and the accumulation of porphyrin IX. Here, we used genome-wide genetic, proteomic, and biochemical approaches under anaerobic conditions to evaluate the direct mechanisms of toxicity of these metal(loid)s in Escherichia coli. We found that certain soft-metal(loid)s promote protein aggregation in a ROS-independent manner. This aggregation occurs during translation in the presence of Ag(I), Au(III), Hg(II), or Te(IV) and post-translationally in cells exposed to Cd(II) or As(III). We determined that aggregated proteins were involved in several essential biological processes that could lead to cell death. For instance, several enzymes involved in amino acid biosynthesis were aggregated after soft-metal(loid) exposure, disrupting intracellular amino acid concentration. We also propose a possible mechanism to explain how soft-metal(loid)s act as proteotoxic agents.
Feasibility of fast, four-dimensional computed tomography-based O-ring LINAC plans for lung stereotactic body radiotherapy in patients with poor performance status
Authors: Heo Eun Jeong , Kim Minseok , Park Chun Gun , Chang Kyung Hwan , Kim Kwang Hyeon , Shim Jang Bo , Park Young Je , Kim Chul Yong , Lee Nam Kwon , Lee Suk
Published: November 2023

Purpose

We aimed to retrospectively analyzed the feasibility of fast four-dimensional computed tomography (4DCT)-based O-ring LINAC treatment for patients with an average respiratory amplitude was< 0.5 cm and who cannot endure long treatment times due to poor performance status in lung 4D-stereotactic body radiotherapy (SBRT).

Methods

This study included data of 38 patients who received lung 4D-SBRT and had average respiratory amplitude< 0.5 cm in the full phase. C-arm LINAC plans were based on 4DCT data obtained at phase values ranging from 20–70% using a C-arm LINAC. O-ring LINAC plans were retrospectively established based on 4DCT data obtained at phase values of 0–90% using an O-ring LINAC. The conformity index (CI), homogeneity index (HI), and gradient measurement of the planning target volumes (PTV) were analyzed to compare dosimetric data between C-arm LINAC and O-ring LINAC plans. Organs at risk were analyzed in accordance with the Radiation Therapy Oncology Group 0915 protocol. Treatment delivery time and total monitor units were analyzed to compare the efficiency of treatment delivery. Statistical comparisons were performed using the Wilcoxon signed-rank test (P< 0.05).

Results

For the PTV, there was no significant difference in the CI or HI between C-arm LINAC and O-ring LINAC plans. For organs-at-risk, all plans met the criteria for dose constraint. There was a significant difference between C-arm LINAC and O-ring LINAC plans except in the spinal cord. Treatment delivery time was 92% longer for C-arm LINAC plans than for O-ring LINAC plans. The total MU value for C-arm LINAC plans was 9.6% higher than that for O-ring LINAC plans.

Conclusion

We verified the feasibility of fast 4DCT-based O-ring LINAC treatment for patients with average respiratory amplitude< 0.5 cm and who cannot endure long treatment times due to poor performance status in lung 4D-SBRT.
Recent antitumor therapy does not increase Omicron COVID-19 severity in cancer patients: a two-center retrospective study in China
Authors: Liu Ying , Zhu Wenyao , Wang Zhiwu , Yu Jiarui , Dong Liang , Li Chunyang , Wang Wei , Zhang Fuhui , Ding Shuanghui , Sun Lu , Yang Zhao , Zhang Chao , Qian Fang
Published: November 2023

Background

The impact of anticancer therapy and related clinical factors on the severity of COVID-19 in cancer patients during the Omicron pandemic has not been established. The recent outbreak in China caused predominantly by the BA.5.2 and BF.7 strains of Omicron provided us with the opportunity to observe objectively the impact of this strain in oncology patients. We initiated this two–center retrospective study in China to determine the impact of anti-cancer treatment, other clinical factors, and cancer characteristics on COVID-19 severity in cancer patients infected with coronavirus during the SARS-CoV-2 Omicron variant pandemic in China.

Methods

We retrospectively included 554 cancer patients infected with COVID-19 from two medical centers. Data on their anticancer treatment prior to COVID-19 infection and general clinical characteristics (sex, age, past medical history, etc.) were collected. Univariate statistical analysis was performed to identify the factors associated with the severity of COVID-19.

Results

Among 554 cancer patients infected with COVID-19, there were 15 (2.7%) severe/critical cases, 86 (15.5%) cases with medium severity, and 453 (81.8%) cases with mild severity. Univariate analysis revealed that advanced age, male sex, worse ECOG score, unvaccinated status, and previous liver, kidney, and brain diseases were associated with more severe COVID-19. However, recent antitumor therapy, including cytotoxic chemotherapy within two weeks did not have a significant correlation with the severity of COVID-19 caused by the Omicron variant.

Conclusion

The severity of COVID-19 caused by the Omicron variant is not exacerbated by recent anticancer therapy in cancer patients. Therefore, anticancer therapy should not be discontinued in such cases, especially those with mild severity.
Disorders of Consciousness and Their Treatment
Authors: Allison Brendan Z. , Bonin Estelle , Barra Alice , Cardone Paolo , Charland Vanessa , Laureys Steven , Annen Jitka
Published: November 2023

People with severe brain damage can suffer from a disorder of consciousness (DoC) such as a coma. They may be unconscious for decades, with little or no awareness of themselves or their surroundings, or they might emerge slowly into consciousness. People with DoCs usually cannot control any of their movements to respond to questions, so diagnosing them is difficult. However, methods of looking at brain activity are helping us learn more about each patient’s remaining abilities and thus choose the best treatments. Treatments including physical therapy, rehabilitation, medications, music therapy, and brain stimulation can increase patients’ brain function and sometimes help them recover communication or other behaviors. Nurses and physical therapists are generally needed to help reduce patients’ pain and other discomfort. DoCs can strongly impact patients and their families, but many groups provide support. Research scientists and doctors also help by finding new ways to understand consciousness in general and treat DoCs.
Experimental and Numerical Investigations on the Dynamic Response of Blades with Dual Friction Dampers
Authors: Man Jixin , Xue Beirao , Bian Xiangde , Yan Wengao , Qiao Da , Zeng Wu
Published: November 2023

Friction dampers are widely employed to reduce blade resonance vibration amplitude in turbomachinery. In this paper, a study was performed on the forced response of two blades with dual friction dampers. Numerical simulation and experimental testing were conducted. Firstly, the dynamics of the blade and dual friction damper system assembly are modeled. A nonlinear code based on the multi-harmonic balance method was developed to calculate the resonance response. In this analysis, both the blade and the damper are modeled with the finite element and the matrices reduced with the component mode synthesis method, while the contact forces are modeled with a one-dimensional variable normal load array element. Secondly, a test rig made of two blades and dual friction dampers, the material of which was steel, was established to measure the nonlinear frequency response function curves of the blade system. The results indicate that when a dual friction damper is applied, superior vibration reduction characteristics are demonstrated, with the system exhibiting an average 21% reduction in the response amplitude levels and an increase of 3% in the frequency shifting range compared to a single damper. Dampers positioned at relatively higher locations contribute significantly to the vibration reduction process. In the end, the numerical predictions match very well with the experimental ones.
Adaptive Feed-Forward Control for Gust Load Alleviation on a Flying-Wing Model Using Multiple Control Surfaces
Authors: Zhang Liqi , Zhao Yonghui
Published: November 2023

Based on measured gust information, a multi-input multi-output (MIMO) adaptive feed-forward control scheme for gust load alleviation (GLA) on a semi-span flying-wing aircraft using multiple control surfaces is proposed. In order to remedy weight drift and biased estimation problems that are commonly encountered in adaptive control, the circular leaky LMS (CLLMS) algorithm is employed, which utilizes gust measurement information, filtered reference signals, and error signals to update controller parameters online. The results demonstrate that good load reductions are achieved in both continuous and discrete gust environments. For instance, the designed GLA control system leads to an 80.72% reduction in the root-mean-square (RMS) values of wing-root bending moment in the Dryden gust environment and a 77.59% reduction of its maximum value in the 1-cos discrete gust condition. Based on the limited power of the actuator and the limited authority for control surface deflections when integrating GLA into the flight control system, a weight-updating algorithm with deflection angle and rate constraints on control surfaces is proposed. The simulation results show that the strict constraints on control surface deflections will degrade the GLA performance. Finally, the influence of the partial jamming fault of actuators on GLA performance is studied. It is found that good GLA performance can be preserved despite the degraded performance during the initial stage of the actuator jamming fault. This is due to the robustness brought about by multiple control surfaces and the adaptability of the control algorithm.
A Proton Flux Prediction Method Based on an Attention Mechanism and Long Short-Term Memory Network
Authors: Zhang Zhiqian , Liu Lei , Quan Lin , Shen Guohong , Zhang Rui , Jiang Yuqi , Xue Yuxiong , Zeng Xianghua
Published: November 2023

Accurately predicting proton flux in the space radiation environment is crucial for satellite in-orbit management and space science research. This paper proposes a proton flux prediction method based on a hybrid neural network. This method is a predictive approach for measuring proton flux profiles via a satellite during its operation, including crossings through the SAA region. In the data preprocessing stage, a moving average wavelet transform was employed to retain the trend information of the original data and perform noise reduction. For the model design, the TPA-LSTM model was introduced, which combines the Temporal Pattern Attention mechanism with a Long Short-Term Memory network (LSTM). The model was trained and validated using 4,174,202 proton flux data points over a span of 12 months. The experimental results indicate that the prediction accuracy of the TPA-LSTM model is higher than that of the AP-8 model, with a logarithmic root mean square error (logRMSE) of 3.71 between predicted and actual values. In particular, an improved accuracy was observed when predicting values within the South Atlantic Anomaly (SAA) region, with a logRMSE of 3.09.
Identification of Plant Disease Based on Multi-Task Continual Learning
Authors: Zhao Yafeng , Jiang Chenglong , Wang Dongdong , Liu Xiaolu , Song Wenhua , Hu Junfeng
Published: November 2023

Deep learning excels in the identification of specific plant diseases. However, dealing with multi-domain datasets, which encompass a variety of categories, presents challenges due to limited data availability. (1) Background: In real-world scenarios, data distribution is uneven, the scale continues to grow, new categories emerge, and a phenomenon known as ‘catastrophic forgetting’ occurs. Models rely on a substantial amount of data for labeling and training. (2) Methods: We introduce a two-stage approach. The first stage is the scalable feature learning phase, where the previous feature representation is fixed. Through a new feature extractor, incoming and stored data are trained to expand features. In the second stage, by introducing an auxiliary loss to determine whether key parameters are retained, we reduce the instability of weight parameters. This maintains the separability of old features and encourages the model to learn new concepts, diversity, and discriminative features. (3) Results: Our findings indicate that when the data landscape shifts, recognition accuracy in multi-task continual learning, leveraging the simultaneous availability of datasets, significantly outperforms single convolutional networks and multi-task learning models. (4) Conclusions: Our method advances continual learning towards practical applications. It is particularly effective in mitigating catastrophic forgetting in multi-domain datasets and enhancing the robustness of deep-learning models.
Real-Time Lightweight Detection of Lychee Diseases with Enhanced YOLOv7 and Edge Computing
Authors: Xiao Jiayi , Kang Gaobi , Wang Linhui , Lin Yongda , Zeng Fanguo , Zheng Jianyu , Zhang Rong , Yue Xuejun
Published: November 2023

Lychee is an economically important crop with widespread popularity. However, lychee diseases significantly impact both the yield and fruit quality of lychee. Existing lychee disease detection models face challenges such as large parameter sizes, slow processing speeds, and deployment complexities. To address these challenges, this paper proposes an improved lightweight network, named YOLOv7-MGPC (YOLOv7-Mosaic-GhostNet-Pruning-CBAM), that enables real-time lychee disease detection. In this study, we collected datasets of lychee diseases, covering four types of leaf diseases, and employed Mosaic data augmentation for data preprocessing. Building upon the YOLOv7 framework, we replaced the original backbone network with the lightweight GhostNetV1 and applied channel pruning to effectively reduce the parameter overhead. Subsequently, an attention mechanism called CBAM was incorporated to enhance the detection accuracy. The resultant model was then deployed to edge devices (Nvidia Jetson Nano) for real-world applications. Our experiments showed that our enhanced YOLOv7 variant outperforms the original model by a large margin, achieving a speed increase from 120 frames/s to 217 frames/s while maintaining an accuracy of 88.6%. Furthermore, the parameter size was substantially reduced from 36.5 M to 7.8 M, which firmly demonstrates the effectiveness of our methods in enabling model deployment on edge devices for lychee disease detection.
Crop Identification and Growth Stage Determination for Autonomous Navigation of Agricultural Robots
Authors: Cortinas Eloisa , Emmi Luis , Gonzalez-de-Santos Pablo
Published: November 2023

This study introduces two methods for crop identification and growth stage determination, focused primarily on enabling mobile robot navigation. These methods include a two-phase approach involving separate models for crop and growth stage identification and a one-phase method employing a single model capable of handling all crops and growth stages. The methods were validated with maize and sugar beet field images, demonstrating the effectiveness of both approaches. The one-phase approach proved to be advantageous for scenarios with a limited variety of crops, allowing, with a single model, to recognize both the type and growth state of the crop and showed an overall Mean Average Precision (mAP) of about 67.50%. Moreover, the two-phase method recognized the crop type first, achieving an overall mAP of about 74.2%, with maize detection performing exceptionally well at 77.6%. However, when it came to identifying the specific maize growth state, the mAP was only able to reach 61.3% due to some difficulties arising when accurately categorizing maize growth stages with six and eight leaves. On the other hand, the two-phase approach has been proven to be more flexible and scalable, making it a better choice for systems accommodating a wide range of crops.
Prebiotics in Global and Mexican Fish Aquaculture: A Review
Authors: Amillano-Cisneros Jesús Mateo , Fuentes-Valencia María Anel , Leyva-Morales José Belisario , Davizón Yasser A. , Marquéz-Pacheco Henri , Valencia-Castañeda Gladys , Maldonado-Coyac Juan Antonio , Ontiveros-García Luz Adriana , Badilla-Medina Cesar Noé
Published: November 2023

Continued human population growth has resulted in increased demand for products, including those derived from aquaculture. The main challenge in aquaculture is producing more every year. In recent years, environmentally friendly supplements that provide the necessary pathways for optimal production have been emphasized. One of them is prebiotics, selectively utilized substrates by host microorganisms conferring a health benefit. Interest in applying prebiotics in global fish farming has increased in recent years as it has been shown to improve growth, boost the immune system, resist stress conditions, and cause the modulation of digestive enzymes. These effects reflect reduced production and disease costs. However, in Latin American countries such as Mexico, large-scale use of these food supplements is needed as a sustainable alternative to improve fish production. This paper gives a review of the current advances obtained with the application of prebiotics in commercially farmed fish worldwide, mentions the prebiotics to use in the aquaculture industry, and updates the status of studies about the used prebiotics in global commercial fish cultivated in Mexico, as well as freshwater and marine endemic fish in this country. Also, the limitations of prebiotics application in terms of their use and legislation are analyzed.
Diet Digestibility and Partitioning of Nutrients in Adult Male Alpacas Fed a Blend of Oat Hay and Alfalfa Pellets at Two Levels of Intake
Authors: Chipa Guillen Paola Katherine , Antezana Julián Walter Orestes , Rios Rado Wilfredo Manuel , Moscoso-Muñoz Juan Elmer , Cabezas-Garcia Edward H.
Published: November 2023

Alpacas are well adapted to consume the poor-quality forages present in the arid conditions of the Andean Altiplano. However, studies focusing on understanding the relationship between diet digestibility and intake are scarce. The aim of this study was to evaluate the effects of two levels of dry matter intake (DMI) on a metabolic body weight (BW0.75) basis. The effects of a maintenance level of intake and an ad libitum level of intake (40 and 50 g of dry matter (DM) per kg of BW0.75, respectively) on the apparent diet digestibility and partitioning of specific nutrients (energy, carbon (C), and nitrogen (N)) of alpacas that were fed a blend of oat hay and alfalfa pellets (70:30 ratio as a percentage on a fed basis) were evaluated. Five adult intact male alpacas (BW = 62.9 ± 8.09 kg at the beginning of the study) were fed with the experimental diet and trained to be allocated in metabolism crates for 30 days. After the completion of this phase, two separate experiments for each level of intake were carried out, each lasting for twenty-six days (with the final five days taken for samples and raw data collection). In both experiments, the animals responded differently in terms of nutrient supply and changes in BW (−140 and 100 g/d for the maintenance and ad libitum levels of intake, respectively). Oat hay consumption was rather similar in both experiments, which may be explained by a reduced ingredient selectivity at the ad libitum level of intake. Diet digestibility was similar in both experiments, despite the greater fecal output of nutrients with the increased level of diet intake. In line with this, diet metabolizability, calculated as the ratio between metabolizable energy (ME) and gross energy (GE) contents, indicated a similar energy utilization of the diet. The apparent digestibility of the organic matter (OMD) ranged from 655 to 669 g/kg DM. Water consumption at the ad libitum level of intake was 21% higher than the observed mean at the maintenance level of intake. Fecal outputs of dietary energy, C, and N accounted for the largest source of excreted nutrients, regardless of the level of intake. The N retention increased from 0.439 at the maintenance level of intake, to 0.473 g of DM/kg BW0.75 when the alpacas were fed ad libitum.
In Vivo-Acquired Resistance to Daptomycin during Methicillin-Resistant Staphylococcus aureus Bacteremia
Authors: Boutet-Dubois Adeline , Magnan Chloé , Lienard Alexi , Pouget Cassandra , Bouchet Flavien , Marchandin Hélène , Larcher Romaric , Lavigne Jean-Philippe , Pantel Alix
Published: November 2023

Daptomycin (DAP) represents an interesting alternative to treat methicillin-resistant Staphylococcus aureus (MRSA) infections. Different mechanisms of DAP resistance have been described; however, in vivo-acquired resistance is uncharacterized. This study described the phenotypic and genotypic evolution of MRSA strains that became resistant to DAP in two unrelated patients with bacteremia under DAP treatment, in two hospitals in the South of France. DAP MICs were determined using broth microdilution method on the pairs of isogenic (DAP-S/DAP-R) S. aureus isolated from bloodstream cultures. Whole genome sequencing was carried out using Illumina MiSeq Sequencing system. The two cases revealed DAP-R acquisition by MRSA strains within three weeks in patients treated by DAP. The isolates belonged to the widespread ST5 (patient A) and ST8 (patient B) lineages and were of spa-type t777 and t622, respectively. SNP analysis comparing each DAP-S/DAP-R pair confirmed that the isolates were isogenic. The causative mutations were identified in MprF (Multiple peptide resistance Factor) protein: L826F (Patient A) and S295L (Patient B), and in Cls protein: R228H (Patient B). These proteins encoded both proteins of the lipid biosynthetic enzymes. The resistance to DAP is particularly poorly described whereas DAP is highly prescribed to treat MRSA. Our study highlights the non-systematic cross-resistance between DAP and glycopeptides and the importance of monitoring DAP MIC in persistent MRSA bacteremia.
Novel Fluorometric Assay of Antiglycation Activity Based on Methylglyoxal-Induced Protein Carbonylation
Authors: Koike Shin , Saito Yuna , Ogasawara Yuki
Published: November 2023

Advanced glycation end products (AGEs), which can have multiple structures, are formed at the sites where the carbonyl groups of reducing sugars bind to the free amino groups of proteins through the Maillard reaction. Some AGE structures exhibit fluorescence, and this fluorescence has been used to measure the formation and quantitative changes in carbonylated proteins. Recently, fluorescent AGEs have also been used as an index for the evaluation of compounds that inhibit protein glycation. However, the systems used to generate fluorescent AGEs from the reaction of reducing sugars and proteins used for the evaluation of antiglycation activity have not been determined through appropriate research; thus, problems remain regarding sensitivity, quantification, and precision. In the present study, using methylglyoxal (MGO), a reactive carbonyl compound to induce glycation, a comparative analysis of the mechanisms of formation of fluorescent substances from several types of proteins was conducted. The analysis identified hen egg lysozyme (HEL) as a protein that produces stronger fluorescent AGEs faster in the Maillard reaction with MGO. It was also found that the AGE structure produced in MGO-induced in HEL was argpyrimidine. By optimizing the reaction system, we developed a new evaluation method for compounds with antiglycation activity and established an efficient evaluation method (HEL–MGO assay) with greater sensitivity and accuracy than the conventional method, which requires high concentrations of bovine serum albumin and glucose. Furthermore, when compounds known to inhibit glycation were evaluated using this method, their antiglycation activities were clearly and significantly measured, demonstrating the practicality of this method.
A Peptoid-Chelator Selective to Cu2+ That Can Extract Copper from Metallothionein-2 and Lead to the Production of ROS
Authors: Behar Anastasia Esther , Maayan Galia
Published: November 2023

Copper is an essential metal ion that is involved in critical cellular processes, but which can also exhibit toxic effects through its ability to catalyze reactive oxygen species (ROS) formation. Dysregulation of copper homeostasis has been implicated in the progression of several diseases, including cancer. A novel therapeutic approach, extensively studied in recent years, is to capitalize on the increased copper uptake and dependency exhibited by cancer cells and to promote copper-associated ROS production within the tumor microenvironment, leading to the apoptosis of cancer cells. Such an effect can be achieved by selectively chelating copper from copper-bearing metalloproteins in cancer cells, thereby forming a copper–chelator complex that produces ROS and, through this, induces oxidative stress and initiates apoptosis. Herein, we describe a peptoid chelator, TB, that is highly suitable to carry this task. Peptoids are N-substituted glycine oligomers that can be efficiently synthesized on a solid support and are also biocompatible; thus, they are considered promising drug candidates. We show, by rigorous spectroscopic techniques, that TB is not only selective for Cu(II) ions, but can also effectively extract copper from metallothionein-2, and the formed complex CuTB can promote ROS production. Our findings present a promising first example for the future development of peptoid-based chelators for applications in anti-cancer chelation therapy, highlighting the potential for the prospect of peptoid chelators as therapeutics.
A Diagnostic Method for the Saturable Reactor Core Looseness Degree of Thyristor Converter Valves
Authors: Zheng Lin , Wei Xiaoguang , Sun Tianshu , Zhang Xiaolong
Published: November 2023

During the long-term operation of thyristor converter valves, the saturable reactor vibration (mainly caused by magnetostriction) will lead to core looseness faults. In order to accurately evaluate the fault degradation degree, this paper proposes a vibration signal recognition model for iron core looseness based on synchrosqueezed wavelet transforms and a convolutional neural network. Firstly, vibration experiments are conducted on saturable reactors to obtain signals under different core looseness degrees. Then, the spectrogram features of vibration signals are extracted using synchrosqueezed wavelet transform. Finally, based on the high-dimensional learning ability of convolutional neural networks, the fault characteristics of the spectrogram are mined to accurately identify the core looseness degree. The research results indicate that the model in the paper has higher recognition accuracy than some other methods, which provides convenience for the monitoring and maintenance of saturable reactors.
A Stability Analysis of an Abandoned Gypsum Mine Based on Numerical Simulation Using the Itasca Model for Advanced Strain Softening Constitutive Model
Authors: Shi Yungang , Wang Huaijian , Tan Xin , Jin Yuxuan , Wang Jiaxu , Tang Bigang
Published: November 2023

An abandoned gypsum mine has been discovered beneath the route of a highway construction in Hunan province, south China. Due to the highway construction and operations safety, there is an urgent need for a comprehensive stability analysis of the abandoned mining area. The 3D laser scanning detection technique has been adopted, and over 400 drillholes were strategically placed near the highway to capture the spatial information of the abandoned gypsum mine. The ore body has an average mining thickness of about 3 m, and the depth of the mining roof ranges from 40 to 60 m, with an average span of 16 m. Based on the research achievements in the engineering geological investigation, rock mass quality assessment, and geometry information, a simplified numerical model has been established for stability analysis. The numerical model employed the IMASS rock mass constitutive model to conduct a stability analysis of the abandoned gypsum mine during the excavation process and in the medium to long term. The IMASS constitutive model can effectively reflect the entire process of rock mass from microscopic damage to macroscopic instability, and the numerical simulation of current and long-term stages provides a much greater understanding of the mining room stability and the effect of various geo-mechanical parameters not considered in traditional empirical methods. The abandoned gypsum mine stability is guaranteed in the mining and current stages. However, the numerical results showed that a 0.4 m spalling thickness of the sidewalls can cause an overall instability and failure of the abandoned mine, and reinforcement measures must be taken for long-term safety. The stability of the abandoned gypsum mine with filling solutions was also evaluated numerically.
Practices of Organic Medium Enclosed Trough and Amaranth Species Variation Enhanced Growth, Nutritional Composition and Bioactive Compounds
Authors: Mopai Maeleletse Glas , Mpai Semakaleng , Ndhlala Ashwell R.
Published: November 2023

Organic Medium Enclosed Trough (OMET) system is a new non-drainable growing technique. The study set out to investigate the interactive effects of OMET and Amaranth species variation on some growth attributes, yield, bioactive compounds, and nutrients. Three Amaranth species, A. caudatus, A. cruentus, and A. tricolor, were grown in OMET and non-OMET growing conditions. Growth attributes, irrigation water, bioactive compounds, and nutrients were determined. Non-OMET growing conditions and A. cruentus showed the highest total phenolics and flavonols followed by A. caudatus and A. tricolor, whilst tannins were predominant in A. caudatus followed by A. cruentus and A. tricolor. The use of unsupervised PCA showed major metabolic variation based on Amaranth species and the use of supervised OPLS-DA showed clear metabolic variation based on OMET and non-OMET. OMET and A. cruentus showed the highest plant height, stem diameter, biomass, and some nutrients (%protein, Ca, P, Cu, Se, Zn), followed by A. caudatus based only on growth and biomass, and A. tricolor based only on some nutrients (Mg, K, Mn, and Fe). The use of the OMET system on A. cruentus and A. tricolor can be recommended to mitigate climate change effects on nutritional composition using relatively low levels of irrigation water.
Experimental Study on Enhanced Phosphorus Removal Using Zirconium Oxychloride Octahydrate-Modified Efficient Phosphorus Removal Composite
Authors: Liu Yan , Su Junjun
Published: November 2023

In addressing eutrophication and enhancing water quality, this study builds upon previous research involving the development of an Efficient Phosphorus Removal Composite (EPRC), a material created using modified industrial wastes (steel slag and fly ash) as adsorbent substrates, supplemented with a binder and porosity-forming agent. In this investigation, the EPRC was further enhanced through the addition of zirconium oxychloride octahydrate, resulting in the production of Zr-EPRC particles as reinforced phosphorus removal materials. Comparative experiments were conducted to assess different methods for preparing Zr-EPRC, the static adsorption performance, and dynamic adsorption behavior. The optimal preparation of Zr-EPRC was achieved by separately modifying the base materials, steel slag and fly ash. Loading with mass ratios of zirconium chloride octahydrate to fly ash and steel slag at 0.4 and 0.6, respectively, for a duration of 12 h at a pH of 10 yielded the best results. In static adsorption experiments conducted at temperatures of 15 °C, 25 °C, and 35 °C, Zr-EPRC exhibited saturated phosphorus adsorption capacities of 11.833 mg/g (variance = 0.993), 12.550 mg/g (variance = 0.993), and 13.462 mg/g (variance = 0.996), respectively. Zr-EPRC emerges as a cost-effective and readily available solution with promising stability for general wastewater treatment applications, contributing significantly to the mitigation of eutrophication and the improvement of water quality.