bluuebunny/crossref_metadata_2025_split huggingface dataset:
Channel–Spatial Segmentation Network for Classifying Leaf Diseases
Authors: Natesan Balaji , Singaravelan Anandakumar , Hsu Jia-Lien , Lin Yi-Hsien , Lei Baiying , Liu Chuan-Ming 
Published: November 2022

Agriculture is an important resource for the global economy, while plant disease causes devastating yield loss. To control plant disease, every country around the world spends trillions of dollars on disease management. Some of the recent solutions are based on the utilization of computer vision techniques in plant science which helps to monitor crop industries such as tomato, maize, grape, citrus, potato and cassava, and other crops. The attention-based CNN network has become effective in plant disease prediction. However, existing approaches are less precise in detecting minute-scale disease in the leaves. Our proposed Channel–Spatial segmentation network will help to determine the disease in the leaf, and it consists of two main stages: (a) channel attention discriminates diseased and healthy parts as well as channel-focused features, and (b) spatial attention consumes channel-focused features and highlights the diseased part for the final prediction process. This investigation forms a channel and spatial attention in a sequential way to identify diseased and healthy leaves. Finally, identified leaf diseases are divided into Mild, Medium, Severe, and Healthy. Our model successfully predicts the diseased leaves with the highest accuracy of 99.76%. Our research study shows evaluation metrics, comparison studies, and expert analysis to comprehend the network performance. This concludes that the Channel–Spatial segmentation network can be used effectively to diagnose different disease degrees based on a combination of image processing and statistical calculation.
Trends in the Bacterial Prevalence and Antibiotic Resistance Patterns in the Acute Exacerbation of Chronic Obstructive Pulmonary Disease in Hospitalized Patients in South India
Authors: Kaleem Ullah Mohammed , Malamardi Sowmya , Siddaiah Jayaraj Biligere , A Tejashree , Prashant Akila , Vishwanath Prashant , Riley Lee W. , Madhivanan Purnima , Mahesh Padukudru Anand 
Published: November 2022

Exacerbation due to antimicrobial-drug-resistant bacteria among chronic obstructive pulmonary disease (AECOPD) patients contributes to mortality and morbidity. We examined the prevalence of the bacterial organisms and trends in drug resistance in AECOPD. In this retrospective study, between January 2016 to December 2020, among 3027 AECOPD patients, 432 (14.3%) had bacteria isolated. The regression and generalized estimating equations (GEE) were used for trends in the resistance patterns over five years, adjusting for age, gender, and comorbidities. Klebsiella pneumoniae (32.4%), Pseudomonas aeruginosa (17.8%), Acinetobacter baumannii (14.4%), Escherichia coli (10.4%), and Staphylococcus aureus (2.5%) were common. We observed high levels of drug resistance in AECOPD patients admitted to ICU (87.8%) and non-ICU (86.5%). A Cox proportional hazard analysis, observed infection with Acinetobacter baumannii and female sex as independent predictors of mortality. Acinetobacter baumannii had 2.64 (95% confidence interval (CI): 1.08–6.43) higher odds of death, compared to Klebsiella pneumoniae. Females had 2.89 (95% CI: 1.47–5.70) higher odds of death, compared to males. A high proportion of bacterial AECOPD was due to drug-resistant bacteria. An increasing trend in drug resistance was observed among females.
Electron-Impact Excitation of the λ190.8 nm and λ179.9 nm Intercombination Lines in the Tl+ Ion
Authors: Gomonai Anna , Roman Viktoria , Gomonai Aleksandr , Sahoo Aloka Kumar , Sharma Lalita 
Published: November 2022

The results of experimental and theoretical studies on electron-impact excitation of the 6s6p P1° 3→6s2 S0 1 (λ190.8 nm) and 6s7s S0 1→6s6p P1° 3 (λ179.9 nm) intercombination transitions in the single-charged thallium ion are presented. The crossed-beams technique was used in combination with a spectroscopic method in the experiment. A distinct structure revealed in the cross-sections of both lines results from electron decay of atomic autoionizing states and radiative transitions from upper ionic levels. The dominant mechanism of the structure formation was the Coster–Kronig process. Relativistic distorted wave calculations were performed to obtain emission cross-sections for the above transitions. The absolute values of the cross-sections were found to be (0.25 ± 0.08) × 10−16 cm2 (λ190.8 nm) and (0.10 ± 0.04) × 10−16 cm2 (λ179.9 nm) at the electron energy of 100 eV.
Dolioletta advena sp. nov., a New Species of Doliolid (Tunicata, Thaliacea) from the Adriatic Sea
Authors: Garić Rade , Batistić Mirna 
Published: November 2022

The Adriatic Sea, as a part of Mediterranean, is one of the best investigated areas in the world regarding zooplankton. Nevertheless, in the last decade four new species of gelatinous zooplankton were described from the Adriatic Sea. Whether these species are newcomers or they were simply overlooked is still under investigations. Here we provide a description of a new species of Doliolida from the genus Dolioletta, Dolioletta advena sp. nov., found in the Adriatic Sea in August 2021, in a period of high sea temperatures and salinities, suggesting its thermal predilection. Its blastozooids dominated the studied doliolid blastozooid communities in the South Adriatic, except in the 50–100 m depth layer at a coastal Lokrum station. Blastozooids of D. advena sp. nov. possess unique morphological features which easily distinguish it from other doliolid species: the most prominent feature being the curved digestive tract where the intestine does not form a tight coil as in other Dolioletta species. The placement of this species in the genus Dolioletta is corroborated by COI phylogenetic analysis which showed that D. advena sp. nov. forms a well-supported monophyletic clade with Dolioletta gegenbauri (81% bootstrap support). In addition to D. advena sp. nov. COI sequence, we provide COI sequences of five doliolid and one pyrosomatid species, which will greatly improve the availability of thaliacean sequences for metabarcoding studies. The origin of D. advena sp. nov. is unknown, but given the fact that doliolids are well investigated in the Mediterranean Sea, it is likely that it arrived with sea currents either through the Suez Canal or the Strait of Gibraltar. Future investigations will confirm or reject this hypothesis.
Molecular Insights into the Mode of Action of Antibacterial Peptides Derived from Chicken Plasma Hydrolysates
Authors: Tian Fu , Rodtong Sureelak , Thumanu Kanjana , Hua Yanling , Roytrakul Sittiruk , Yongsawatdigul Jirawat 
Published: November 2022

Due to the overuse and abuse of antibiotics, several antibiotic resistant bacteria have emerged. Antimicrobial peptides (AMPs) have gained attention as alternative antimicrobial agents because of their unique mode of action that impedes bacterial resistance. Two novel antibacterial peptides were isolated from Alcalase-hydrolyzed chicken plasma by size exclusion and reverse-phase chromatography. They were identified by LC-MS/MS to be VSDH and CCCPKAF, which showed effective antibacterial activity toward Bacillus cereus DMST 5040, with varied modes of action. The peptide CCCPKAF caused cell membrane disintegration, as evidenced by propidium iodide (PI) uptake. In contrast, the peptide VSDH targeted intracellular molecules, including proteins and nucleic acids, as revealed by Synchrotron-based Fourier Transform Infrared (SR-FTIR). The secondary structure of intracellular proteins increased to a β-sheet structure concomitant with a decrease in the α-helix structure when exposed to 0.5 mM VSDH. Molecular docking analysis revealed that VSDH showed high binding affinity for the active sites of the various enzymes involved in DNA synthesis. In addition, it showed good affinity for a chaperone protein (Dnak), resulting in the misfolding of intracellular proteins. Nuclear magnetic resonance (NMR) and molecular dynamics simulations also indicated that VSDH chelated well with Mg2+, which could partly contribute to its antibacterial activity.
Phosphogypsum Stack Reclamation Using Soil Amendments and Short-Rotational Woody Species
Authors: Robinson Martin J. C. , Dhar Amalesh , Naeth M. Anne , Nichol Connie K. 
Published: November 2022

Phosphogypsum (PG) is a by-product of phosphorus fertilizer production that is stored in large piles (stacks). Typically, PG stack reclamation focuses on topsoil caps vegetated with grass which has limited economic return. Therefore, a study was conducted using the short-rotational tree species (Picea glauca, Populus balsamifera) to determine their potential in PG stack reclamation. Five soil amendments (compost, compost with mycorrhizal fungi, manure pellets, black earth, mycorrhizal fungi) with a control (no amendment on PG) were used in a field experiment to determine whether they would enhance the growth of the planted species. After two years, amendments had little effect on the height, diameter or biomass of either species. P. balsamifera on PG (control) was significantly healthier than in amended soils. The healthiest and most successful trees for both species were found in the control treatment. Organic amendments (compost, manure) had significantly higher nitrate and phosphorus than most of the other treatments. Black earth and mycorrhizal fungi did not affect any soil properties relative to the control. This study suggests short-rotational forestry plantations of Populus balsamifera appear to be meeting reclamation objectives for PG stacks, similar to traditional grass covers; however, the built soil profile could limit tree success in future.
URGENSI NIAT DAN PENGARUHNYA TERHADAP PESERTA DIDIK (ANALISIS PARSIAL TERHADAP HADITH INNAMAL A’MĂLU BI NIĂT RIWAYAT IMAM AL-BUKHARI)
Authors: Tantowi Ahmad 
Published: November 2022

AbstrakTujuan dari penelitian ini adalah untuk melakukan penelitian parsial terhadap hadith tentang pentingnya niat dan menjelaskan fiqhul hadith tentang pengaruh niat terhadap peserta didik. Analisis data yang digunakan dalam penelitian ini adalah metode content analysis. Hasil dari penelitian parisial ini menunjukkan bahwa hadith tentang pentingnya niat yang diriwayatkan oleh Imam Bukhari ini berkualitas shahihu al-hadith karena dalam hadith ini semua periwayat tsiqah, semua sanad dalam hadith ini bersambung (muttasil) dan memiliki hubungan guru dan murid, matan dalam hadith ini tidak syadz, karena tidak bertentangan dengan dalil naqli baik al-Qur’an maupun hadith yang kualitas sanadnya lebih tinggi, dan matan dalam hadith ini tidak mengandung ‘illat, karena tidak bertentangan dengan dalil aqli. Adapun fiqhul hadith tersebut menjelaskan bahwa niat sangat berpengaruh terhadap peserta didik, khususnya dalam motivasi belajar. Jika niat peserta didik benar maka peserta didik tersebut akan termotivasi untuk belajar dengan bersungguh-sugguh, dan begitu juga sebaliknya.Kata kunci: hadith, niat, analisis parsial, peserta didik
Estado, saber experto y la configuración del problema alimentario en América Latina (1900-1960)
Authors: Buschini José Daniel , Pohl Valero Stefan 
Published: November 2022

Este dossier, elaborado como parte de las actividades promovidas por la Red de Estudios Históricos y Sociales de la Nutrición y la Alimentación en América Latina (https://www.redehsnal.com/), busca contribuir y reforzar esta agenda de investigación, centrada en el análisis de la imbricación entre Estado, saber experto y alimentación en América Latina. Pese a los antecedentes mencionados, cuando nos desplazamos desde los procesos que tuvieron lugar en el Norte Global hacia el contexto latinoamericano, nuestro nivel de conocimiento se reduce considerablemente. De esa forma, cada uno de los trabajos presentados en este dossier constituye una pieza con la que avanzar hacia la elaboración de esa narrativa más amplia e integrada a propósito de los modos en que nuestras sociedades configuraron históricamente sus modos de concebir los problemas referidos a la alimentación de la población e intervenir sobre ellos, a lo largo de toda la cadena alimentaria.
REVIEW: POTENSI MANFAAT APLIKASI GREEN ROOF
Authors: Wardhani Widyastuti Kusuma , Suyanto Ika Rahmawati , Azzahra Sekar Arum 
Published: November 2022

ABSTRACTRecently, The construction industry is growing rapidly in the world, including in Indonesia. The construction of high-rise buildings, industry, and housing certainly has an impact on the environment, one of which is the lack of rain catchment areas. The green building concept is expected to reduce energy consumption significantly through several methods of passive design and active design without sacrificing comfort and productivity due to energy savings. One solution to support the concept of green building is the application of green roofs in buildings. Green roof is a building construction where there is a planting medium and vegetation on the roof. The most important green roof capability is the ability to withstand and hold rainwater, especially in urban areas and reduce energy consumption. This study provides an overview of the differences between extensive and intensive types of green roofs, the potential benefits of green roof applications on water quantity and quality, environmental impacts, opportunities and challenges of green roof applications, and economic benefits. Based on this positive aspect, it can be concluded that green roof is one of solution to reduce the environmental impact of buildings, save money, and save water reserves.
A Global Asymptotically Stable Nonlinear Robust Bias Observer for MEMS Gyros
Authors: Tang Ning , Chang Jieling , Wang Lingling , Fu Li , Neusypin Konstantin A. , Selezneva Maria S. , Peng Linping 
Published: November 2022

<p> In practical applications, commercial-grade Micro-Electro-Mechanical System (MEMS) gyros tend to exhibit dynamics sensitivities which are resistant to modeling by linear drift. To address the problem, a new nonlinear robust bias observer (NRBO) is proposed in this paper. Unlike the existing attitude and gyro bias nonlinear observers, we propose a dynamics-sensitive gyro bias decomposition method to tackle unknown nonlinear dynamic models of MEMS gyro bias. We expose the potential advantages of the proposed method: the global asymptotic stability of the NBRO and the robustness to the bias instability of MEMS gyros can be guaranteed through a rational design of the attitude-angular rate nonlinear dynamic coupling (AARNDC) term and the attitude-linear coupling (ALC) term. In addition, the attitude estimation with bias correction is given in the framework of NBRO. The experiment of a cable-parallel robot demonstrate the robustness to the bias instability and the accuracy improvement of MEMS gyros. <br>
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Security of electricity supply in the future intelligent and integrated power system
Authors: Kjølle Gerd 
Published: November 2022

<p>Society depends on a secure electricity supply which is increasingly important as various sectors are being electrified to substitute fossil fuels. The sustainability targets for the future cannot be met unless the necessary transformation of the power system is addressed. The future power system should be renewable, flexible, intelligent, secure, and resilient. This transformation should be made at acceptable costs, without jeopardising the security of electricity supply. The electricity grid is a crucial enabler for the energy transition. Intensified electrification and digitalisation imposes new challenges and requirements for the grid. At the same time, the power system will be more exposed to natural disasters in the future due to climate change and increased weather-related stress. It is important to understand the new risk picture and find the right strategies for dealing with the security of electricity supply in the future power system. </p>
Multibeam Metasurface Antenna Based on Orbital Angular Momentum Modes Demultiplexing Feeding
Authors: Wang Luyi , Shi Hongyu , Chen Xiaoming , Qu Bingyue , Yi Jianjia , Zhang Anxue , Xu Zhuo , Liu Haiwen 
Published: November 2022

<p>In this paper, the design and implementation of an multibeam metasurface antenna with multiple independent channels using orbital angular momentum (OAM) demultiplexing feeding are proposed. Several aperture phase distributions that convert incident vortex beams with different and orthogonal topological orders into designated directional pencil beams are acquired and superimposed to form a metasurface aperture that, under excitations of vortex beams with multiple orders, produces independent multibeam each with a predefined direction. For implementation, a transmissive metasurface working at 5.15 GHz is designed with four beams pointing at arbitrary half space directions corresponding to incident vortex beams of order +1, −1, +3 and −3 respectively. Techniques such as OAM modes spacing and aperture partitioning are also utilized for reducing sidelobe levels (SLLs). Furthermore, a similar multibeam metasurface antenna with additional linear-to-circular polarization conversion function is proposed, which opens the possibility of utilizing different polarizations on top of the OAM based multibeam. The proposed multibeam metasurface antenna based on OAM demultiplexing feeding provides a low-cost solution for independent channels multibeam realization compared with phased arrays and realizes flexible multibeam directions compared with multibeam antennas based on lenses or reflectors. </p>
Online Video Super-Resolution using Information Replenishing Unidirectional Recurrent Model
Authors: Agrahari Baniya Arbind , Lee Glory , Eklund Peter , Aryal Sunil , Robles-Kelly Antonio 
Published: November 2022

<p>Recurrent Neural Networks (RNN) are widespread for Video Super-Resolution (VSR) because of their proven ability to learn spatiotemporal inter-dependencies across the temporal dimension. Despite RNN’s ability to propagate memory across longer sequences of frames, vanishing gradient and error accumulation remain major obstacles to unidirectional RNNs in VSR. Several bi-directional recurrent models are suggested in the literature to alleviate this issue; however, these models are only applicable to offline use cases due to heavy demands for computational resources and the number of frames required per input. This paper proposes a novel unidirectional recurrent model for VSR, namely “Replenished Recurrency with Dual-Duct” (R2D2), that can be used in an online application setting. R2D2 incorporates a recurrent architecture with a sliding-window-based local alignment resulting in a recurrent hybrid architecture. It also uses a dual-duct residual network for concurrent and mutual refinement of local features along with global memory for full utilisation of the information available at each timestamp. With novel modelling and sophisticated optimisation, R2D2 demonstrates competitive performance and efficiency despite the lack of information available at each time-stamp compared to its offline (bi-directional) counterparts. Ablation analysis confirms the additive benefits of the proposed sub-components of R2D2 over baseline RNN models.The PyTorch-based code for the R2D2 model will be released at R2D2 GitRepo. </p>
A Dynamic Time-Bound Access Control for Secure Hierarchical Content Sharing
Authors: Odelu Vanga 
Published: November 2022

<p>With rapid growth of mobile users, protecting content from unauthorized users become a complex problem. The concept of temporal role-based access control reduces complexity of user management and restricts access to specified time-slots. But, content privacy is still questionable in case of system resources compromise unexpectedly. Therefore, cryptographic solution for time-bound hierarchical content management is an emerging problem. Most of the related schemes focused on individual user keys and/or revocation, but not on time-bound keys. Hence, these are not well suitable for subscription-based services like pay-TV and newspaper. In this paper, we propose a cryptographic time-bound access control with constant size time-bound keys. In our scheme, subscribed time-slots embed into individual user keys to avoid periodical broadcasting of temporal keys. We prove that our scheme is selectively secure against collision attack under chosen-ciphertext attack. We then discuss cloud-based application to show the strategies of efficient revocation and reduced computational overheads for end-users. </p>
Pentingnya Kepemimpinan Transformasional Dalam Keterlibatan Kerja
Authors: Narosaputra Dewo Agung Nugroho 
Published: November 2022

Keterlibatan kerja penting bagi sebuah organisasi. Hal ini dikarenakan, karyawan dengan keterlibatan kerja yang tinggi akan membuat organisasi menjadi organisasi yang sehat. Organisasi yang sehat tentu akan mempengaruhi produktifitas dan kinerja karyawan serta menurunkan kecenderungan keluar dari pekerjaan. Penelitian ini bertujuan untuk mengetahui pengaruh gaya kepemimpinan transformasional terhadap keterlibatan kerja. Penelitian dilakukan kepada 78 anggota polisi wilayah Polisi Daerah Sulawesi Utara. Subjek diberikan skala transformational leadership dan keterlibatan kerja. Didapatkan hasil bahwa kepemimpinan transformasional berpengaruh positif dan signifikan terhadap keterlibatan kerja. Dapat disimpulkan bahwa keterlibatan kerja karyawan akan semakin meningkat apabila dalam organisasi memiliki gaya kepemimpinan transformasional.
Faktor – Faktor Yang Berhubungan Dengan Kepatuhan Perawat Terhadap Penilaian Resiko Jatuh Di Rumah Sakit
Authors: Ida Faridah  , Lastri Mei Winarni  , Nasrudin  
Published: November 2022

Kepatuhan perawat pelaksana dalam pelaksanaan SOP penilaian resiko jatuh masih kurang baik, maka dibutuhkan pengendalian dalam penilaian resiko jatuh sesuai SOP (Kadir, 2020). Tujuan penelitian untuk mengetahui hubungan antara kepemimpinan, sikap dan persepsi perawat dengan kepatuhan perawat dalam pelaksanaan tindakan penilaian resiko jatuh di Rumah Sakit Siaga Raya. Desain Penelitian menggunakan statistik deskriptif dengan pendekatan cross-sectional. Data dianalisis dengan menggunakan uji Chi-Square. Populasinya adalah perawat yang bekerja di Rumah Sakit berjumlah 105 responden. Teknik pengumpulan data menggunakan kuesioner yaitu dengan google form pada variabel kepemimpinan, sikap dan persepsi pada variabel kepatuhan. Hasil penelitian menunjukkan kepemimpinan, sikap dan persepsi adalah sebagai berikut, berdasarkan uji statistik Chi-Square kepemimpinan diperoleh p-value = 0,015 (p < 0,05), ada hubungan yang signifikan antara kepemimpinan terhadap kepatuhan perawat dalam pelaksanaan tindakan penilaian resiko jatuh di Rumah Sakit. Chi-Square sikap diperoleh p-value = 0,020 (p < 0,05), ada hubungan yang signifikan antara kepemimpinan terhadap kepatuhan perawat dalam pelaksanaan tindakan penilaian resiko jatuh di Rumah Sakit dan Chi-Square persepsi diperoleh p-value = 0,005 (p < 0,05) didapatkan ada hubungan yang signifikan antara persepsi perawat terhadap kepatuhan perawat dalam pelaksanaan tindakan penilaian resiko jatuh di Rumah Sakit.
Kata kunci : Kepemimpinan, Sikap, Persepsi, Kepatuhan, Penilaian Resiko Jatuh