Miracle-dz/UniFAR-FTUs huggingface dataset:
Better Memorization, Better Recall: A Lifelong Learning Framework for Remote Sensing Image Scene Classification

To infer unknown remote sensing scenarios, most existing technologies use a supervised learning paradigm to train deep neural network (DNN) models on closed datasets. This paradigm faces challenges such as highly spatiotemporal variants and ever-changing scale-heterogeneous remote sensing scenarios. Additionally, DNN models cannot scale to new scenarios. Lifelong learning is an effective solution to these problems. Current lifelong learning approaches focus on overcoming the catastrophic forgetting issue (i.e., a successive increase in heterogeneous remote sensing scenes causes models to forget historical scenes) while ignoring the knowledge recall issue (i.e., how to facilitate the learning of new scenes by recalling historical experiences), which is a significant problem. This article proposes a lifelong learning framework called asymmetric collaborative network (SCN) for lifelong remote sensing image (RSI) classification. This framework consists of two structurally distinct networks: a preserving network (Pres-Net) and a transient network (Trans-Net), which imitate the long- and short-term memory processes in the brain, respectively. Moreover, this framework is based on two synergistic knowledge transfer mechanisms: triple distillation and prior feature fusion. The triple distillation mechanism enables knowledge persistence from Trans-Net to Pres-Net to achieve better memorization; the prior feature fusion mechanism enables knowledge transfer from Pres-Net to Trans-Net to achieve better recall. Experiments on three open datasets demonstrate the effectiveness of SCN for three-, six-, and nine-task-length learning. The idea of asymmetric separation networks and the synergistic strategy proposed in this article are expected to provide new solutions to the translatability of the classification of RSIs in real-world scenarios. The source codes are available at https://github.com/GeoX-Lab/SCN.
Time to act mature—Gearing eHealth evaluations towards technology readiness levels

It is challenging to design a proper eHealth evaluation. In our opinion, the evaluation of eHealth should be a continuous process, wherein increasingly mature versions of the technology are put to the test. In this article, we present a model for continuous eHealth evaluation, geared towards technology maturity. Technology maturity can be determined best via Technology Readiness Levels, of which there are nine, divided into three phases: the research, development, and deployment phases. For each phase, we list and discuss applicable activities and outcomes on the end-user, clinical, and societal front. Instead of focusing on a single perspective, we recommend to blend the end-user, health and societal perspective. With this article we aim to contribute to the methodological debate on how to create the optimal eHealth evaluation design.
The Dietary Inflammatory Index and Early COPD: Results from the National Health and Nutrition Examination Survey

We examined 3962 people aged 20 to 49 years who had information on spirometry testing and underwent a 24 h dietary recall interview from the 2007–2012 National Health and Nutrition Examination Survey (NHANES) and used multivariable logistic regression to evaluate associations between Dietary Inflammatory Index (DII, a pro-inflammatory diet) and early COPD and lung function. The overall prevalence of early COPD was 5.05%. Higher DII was associated with increased odds of early COPD (quartile 4 vs. 1, the OR = 1.657, 95% CI = 1.100–2.496, p = 0.0156). In a full-adjusted model, each unit of increase in DII score was associated with a 90.3% increase in the risk of early COPD. Higher DII is significantly associated with lower FEV1 and FVC among individuals with early COPD, each unit increment in the DII was significantly associated with 0.43 L–0.58 L decrements in FEV1 (β = –0.43, 95% CI = −0.74, −0.12) and FVC (β = −0.58, 95% CI = −1.01, −0.16). These findings demonstrate that higher consumption of a pro-inflammatory diet may contribute to an increased risk of early COPD and lower lung function, and further support dietary interventions as part of a healthy lifestyle in order to preserve lung function and prevent or improve COPD.
Phylotypic Diversity of Bacteria Associated with Speleothems of a Silicate Cave in a Guiana Shield Tepui

The diversity of microorganisms associated with speleological sources has mainly been studied in limestone caves, while studies in silicate caves are still under development. Here, we profiled the microbial diversity of opal speleothems from a silicate cave in Guiana Highlands. Bulk DNAs were extracted from three speleothems of two types, i.e., one soft whitish mushroom-like speleothem and two hard blackish coral-like speleothems. The extracted DNAs were amplified for sequencing the V3–V4 region of the bacterial 16S rRNA gene by MiSeq. A total of 210,309 valid reads were obtained and clustered into 3184 phylotypes or operational taxonomic units (OTUs). The OTUs from the soft whitish speleothem were mostly affiliated with Acidobacteriota, Pseudomonadota (formerly, Proteobacteria), and Chloroflexota, with the OTUs ascribed to Nitrospirota being found specifically in this speleothem. The OTUs from the hard blackish speleothems were similar to each other and were mostly affiliated with Pseudomonadota, Acidobacteriota, and Actinomycetota (formerly, Actinobacteria). These OTU compositions were generally consistent with those reported for limestone and silicate caves. The OTUs were further used to infer metabolic features by using the PICRUSt bioinformatic tool, and membrane transport and amino acid metabolism were noticeably featured. These and other featured metabolisms may influence the pH microenvironment and, consequently, the formation, weathering, and re-deposition of silicate speleothems.
Electronic Health Records Sharing Model Based on Blockchain With Checkable State PBFT Consensus Algorithm

With the popularity of IoT devices and cloud technology in the medical industry. Sharing EHRs (Electronic Health Records) among medical institutions improves the accuracy of medical diagnosis and promotes the development of public medical. However, it is difficult to share EHRs among hospitals, and patients typically don’t know about the usage of their health records. In this paper, we propose a patient-controlled EHRs sharing scheme based on cloud computing collaborating blockchain technology. The medical abstract and the access strategy are stored in the blockchain to avoid being tampered with. To achieve the fine-grained access control, we propose the attribute-based encryption scheme and multi-keyword encryption scheme to encrypt EHRs. Moreover, we proposed a node-state-checkable Practical Byzantine Fault Tolerance consensus algorithm (sc-PBFT) to prevent the Byzantine nodes from sneaking into the consortium blockchain. First, we check the state of the elected master node to avoid the master node having any malicious records. Then, using pre-prepared, prepare, and commit processes to complete the consensus request submitted by the client. At last, the proposed consensus algorithm evaluates the state of the master node according to the completion of the three-stage process to reduce the impact of the malicious node on the whole consortium blockchain. By doing this, the malicious node will be marked and isolated into the isolation area. The experimental results show that the proposed sc-PBFT algorithm has better handling capability and lower consensus latency. Compared with the PBFT algorithm in the case of Byzantine nodes, sc-PBFT not only improves the robustness of the consortium blockchain network but also improves the handling capability.
WIDEBAND AND CIRCULARLY POLARIZED DESIGNS OF MODIFIED E–SHAPE MICROSTRIP ANTENNAS FOR GSM AND GPS APPLICATIONS

|Variations of modi(cid:12)ed E-shape microstrip antennas are proposed which realize wideband and circularly polarized responses inside the same impedance bandwidth but in separate frequency regions. The oﬀset pair of slots in E-shape patch tunes the spacing in between TM 02 , TM 10 , and TM 11 mode frequencies, and for the design in 900 MHz frequency band, it yields the total impedance bandwidth of 34.15%, in which circularly polarized bandwidth of 4.75% is present towards the higher frequency region. In comparison with the wideband E-shape or its circularly polarized variation, the proposed con(cid:12)gurations yield larger total impedance and same axial ratio bandwidth, but without overlapping bands for the wideband and circularly polarized regions. A compact half E-shape microstrip antenna is proposed, which yields total impedance bandwidth of 38.8%, with a circularly polarized bandwidth of 5.3%, present towards the higher frequency region. Further, the wideband E-shape variations are presented on a thinner substrate by using a bow-tie shape ground plane pro(cid:12)le. Against the conventional ground plane design, it oﬀers more than 12% increase in the bandwidth for 0 : 03 (cid:21) g reduction in the substrate thickness. Thus, as against the reported E-shape variations, the proposed study presents a new design feature of traditional E-shape patch that provides separate regions for the wideband and circularly polarized responses, occupying the same impedance bandwidth. using A probe The resonant length formulation and subsequent design methodology are presented that help in designing similar antennas around the given frequency range as per the targeted application.
A Fast Bipartite Algorithm for Fair Tontines

In a fair tontine, members of a group contribute to a pool, and each time a member dies, his or her contribution is divided among surviving members in unequal portions according to a fair transfer plan (FTP). Constructing the FTP is a special case of the restricted transportation problem. We show that an FTP can be constructed in linear time using a greedy algorithm, even though the FTP problem does not possess the Monge property usually needed for a greedy algorithm to work. Our main result is a separable FTP, which can be constructed in linear time, and which has the desirable property that each member receives a roughly fixed proportion of a dying member's contribution.
Record of Burmese Ferret Badger (Melogale personata, I. Geoﬀroy Saint-Hilaire, 1831) in Kathmandu, Nepal

Burmese Ferret Badger (Melogale personata) was recorded by camera trapping for the first time in Nepal's Nagarjun forest of Shivapui Nagarjun National Park. According to IUCN, it was expected to inhabit only the eastern part of Nepal but recently the species has been recorded from central and western parts of the country. A globally rarely studied species was only observed during daylight in Nepal but this time it is photographed during the night. A Burmese Ferret Badger was captured for one event with three photographs with PCRI 0.085 in the dense mixed forest of Schima wallichii, Castanopsis indica. A more comprehensive study on its ecology is necessary to implement suitable conservation measures.
FEJ2: A Consistent Visual-Inertial State Estimator Design

In this paper, we propose a novel consistent state estimator design for visual-inertial systems. Motivated by first-estimates Jacobian (FEJ) based estimators - which uses the first-ever estimates as linearization points to preserve proper observability properties of the linearized estimator thereby improving the consistency - we carefully model measurement linearization errors due to its Jacobian evaluation and propose a methodology which still leverages FEJ to ensure the estimator's observability properties, but additionally explicitly compensate for linearization errors caused by poor first estimates. We term this estimator FEJ2, which directly addresses the discrepancy between the best Jacobian evaluated at the latest state estimate and the first-estimates Jacobian evaluated at the first-time-ever state estimate. We show that this process explicitly models that the FEJ used is imperfect and thus contributes additional error which, as in FEJ2, should be modeled and consistently increase the state covariance during update. The proposed FEJ2 is evaluated against state-of-the-art visual-inertial estimators in both Monte-Carlo simulations and real-world experiments, which has been shown to outperform existing methods and to robustly handle poor first estimates and high measurement noises.
In Silico Modeling and Docking Analysis of CTX-M-5, Cefotaxime-Hydrolyzing β-Lactamase from Human-Associated Salmonella Typhimurium

Objective: To computationally model the CTX-M-5 β-lactamase and establish its structure, which is exclusively present in human-associated Salmonella. Methods: The CTX-M-5 aminoacid sequence (Uniprot ID:O65975) of Salmonella enterica subsp. enterica serovar typhimurium was retrieved from UniProt database and subjected to homology modeling using MODELLER 9v7. The homology models were duly validated using RAMPAGE tool by generating Ramachandran plots, ERRAT graphs, and ProSA score. DoGSiteScorer server and ConSurf server were used to detect the cavities, pockets, and clefts to identify conserved amino acid sites in the predicted model. Subsequently, the modeled structure was docked using CLC Drug Discovery Workbench against proven drugs and known inhibitors. Results: Obtained high-quality homology model with 91.7% of the residues in favorable regions in Ramachandran plot and qualified in other quality parameters. Docking studies resulted in a higher dock score for PNK (D-benzylpenicilloic acid) molecule when compared to other reported inhibitors. Conclusion: This in silico study suggests that the compound PNK could be an efficient ligand for CTX-M-5 β-lactamase and serve as a potent inhibitor of CTX-M-5.
Exormotheca martins-loussaoae (Exormothecaceae, Hepaticae), a new species from Cape Verde

Abstract Former phylogenetic evidence for the genus Exormotheca revealed the existence of a distinct and monophyletic clade restricted to the oceanic archipelago of Cape Verde. During the fieldwork carried out in Cape Verde between 2016 and 2019, we found distinctive populations of Exormotheca. In this study, we aim to investigate the Exormotheca pustulosa complex and its relationship to other Exormotheca species that coexist in the same geographical areas, using morphological characteristics, and to present a formal description of a new Exormotheca species from Cape Verde Archipelago. A total of 60 specimens belonging to Exormotheca genus were examined. The specimens included samples, with broad taxonomic coverage of the E. pustulosa species, as well as from two phylogenetically close taxa E. holstii, and E. welwitschii. The characters studied were selected based on previous works that describe and distinguish species within the genus Exormotheca, and from our own observations. A new species, Exormotheca martins-loussaoae from Cape Verde is described. The new species can be recognized by the dark green color of the thallus and the almost entire dark purple scales, and the thallus surface having 6 − 9 regular rows with large conical air chambers, occupied by a thin assimilation tissue.
Memória contextual incidental e perfil circadiano dos níveis de cortisol e DHEA em adultos com depressão maior unipolar

Caracteristicas: A depressao e uma das doencas mentais que mais afeta a populacao mundialmente. Tambem conhecida como um transtorno do humor e caracterizada por sentimentos de derrota, baixa autoestima e culpa, sendo duas vezes mais comum em mulheres do que em homens. Uma das suas principais consequencias no organismo sao as disfuncoes cognitivas. Objetivos: Nos investigamos os efeitos do suporte cognitivo sobre a memoria contextual na depressao e analisamos as caracteristicas neuropsicologicas e hormonais que podem afetar a memoria. Metodos: Dezessete pacientes medicados com depressao maior unipolar (idade 20- 40 anos, 14 mulheres) e 22 controles pareados por idade, genero e educacao realizaram o subteste Vocabulario do WAIS-III (VWAIS), o Wisconsin Card Sorting Test (WCST) e um teste de memoria para reconhecimento de itens (objetos) e contextos (local), o qual foi aplicado com ou sem pista incidental. Amostras de salivas para analise de cortisol e DHEA foram coletadas as 07AM, 4PM e 10PM. Resultados: Pacientes e controles apresentaram desempenho equiparado nos escores de reconhecimento de itens, mas os pacientes apresentaram um deficit de memoria contextual na ausencia da pista. O mau desempenho nos testes neuropsicologicos (VWAIS e WCST) e baixos niveis de cortisol e da razao cortisol/DHEA em pacientes nao foram a causa relacionada a esse deficit. Conclusao: Deficits na memoria contextual em pacientes com depressao maior podem ser reduzidos fornecendo suporte cognitivo adicional na codificacao
Innovation of KAU DATANG on Fish Quarantine Center Quality Control and Safety of Fishery Products Semarang City

The COVID-19 pandemic has resulted in demands for the provision of public services by minimizing face-to-face services. BKIPM Semarang in its efforts to provide good public services to the community continues to strive for innovation. One of the innovations created by BKIPM is the KAU DARANG (Fish Quarantine is for You Now) innovation. This innovation is a public service innovation where people can get a certificate of fishery quality in physical form without having to come to the BKIPM Semarang office because the certificate will be sent to their respective homes even for people whose homes are difficult to reach. The purpose of writing this article is to analyze how the process of the innovation is because the innovation is new and has never been studied before. The research method used in this study is a descriptive qualitative method with library research data collection techniques. The results of the study indicate that this innovation is a process innovation that is reinforcing or reinforcing in nature, which seeks to improve previous innovations because previous innovations only facilitated the delivery of certificates to producers which only covered certain areas. With this innovation, people do not need to crowd at UPT BKIPM Semarang to get a certificate according to their needs, but only need to submit an application online for processing and then wait for the certificate to come to their house.
Haar Pattern Based Binary Feature Descriptor for Retinal Image Registration

Image registration is an important step in several retinal image analysis tasks. Robust detection, description and accurate matching of landmark points (also called keypoints) between images are crucial for successful registration of image pairs. This paper introduces a novel binary descriptor named Local Haar Patter of Bifurcation point (LHPB), so that retinal keypoints can be described more precisely and matched more accurately. LHPB uses 32 patterns that are reminiscent of Haar basis function and relies on pixel intensity test to form 256 bit binary vector. LHPB descriptors are matched using Hamming distance. Experiments are conducted on publicly available retinal image registration dataset named FIRE. The proposed descriptor has been compared with the state-of-the art Chen et al.'s method and ALOHA descriptor. Experiments show that the proposed LHPB descriptor is about 2% more accurate than ALOHA and 17% more accurate than Chen et al.'s method.
Mutual Inductance Calculation of Circular Coils for an Arbitrary Position With a Finite Magnetic Core in Wireless Power Transfer Systems

Mutual inductance can be increased, and magnetic leakage can be reduced by adding finite magnetic core materials to the coil structure. However, the problem of the calculation of the mutual inductance between two arbitrarily positioned circular coils with a finite magnetic core has not been resolved. In this article, an analytical formula for calculating the mutual inductance between two circular coaxial coils on a finite magnetic core is obtained based on regional hierarchical expansion analysis (RHEA), the Maxwell equation, the Bessel function, and the boundary conditions for electromagnetic fields. The mutual inductance between two arbitrarily positioned coils is obtained by using the analytical geometry method. A series of experiments are carried out to verify the analytic calculations. The experimental results for each misalignment case are compared with the calculated results and simulated results. The theoretical results and simulated results are in good agreement with the experimental data, which verifies the validity of the proposed method.
Analysis of genetic diversity in accessions of Irvingia gabonensis ( Aubry-Lecomte ex O ' Rorke ) Baill

Department of Natural Sciences, Bowie State University, 14000 Jericho Park Road, Bowie, MD 20715, USA. Crop Improvement Division, Plantain and Banana Improvement Program, International Institute of Tropical Agriculture, Onne, PMB 008 Nchia Eleme, Rivers State, Nigeria. World Agroforestry Centre (ICRAF), IITA Station, Onne, PMB 008 Nchia Eleme, Rivers State, Nigeria. International Institute of Tropical Agriculture, P.O. Box 7878, Kampala, Uganda. ICRAF, BP 2067, Nkolbisson, Yaounde, Cameroon.
D2.2-Secure Computation Infrastructure and Self-Management of VM Security

This report describes the prototype implementations of technical components of the compute layer of the SUPERCLOUD architecture. The prototypes are concerned with realizing secure computation environments across several cloud service providers while assuring a high level of isolation of computation from access by the service providers utilizing hardware-based security mechanisms. Ways to use hardware mechanisms like FPGA for accelerating computations are also discussed. In addition, two use case-related prototypes demonstrate how SUPERCLOUD services can be instantiated in practice, whereas prototypes related to security policy modelling and enforcement demonstrate the security self-management capabilities of the SUPERCLOUD architecture.
360VO: Visual Odometry Using A Single 360 Camera

In this paper, we propose a novel direct visual odometry algorithm to take the advantage of a 360-degree camera for robust localization and mapping. Our system extends direct sparse odometry by using a spherical camera model to process equirectangular images without rectification to attain omnidirectional perception. After adapting mapping and optimization algorithms to the new model, camera parameters, including intrinsic and extrinsic parameters, and 3D mapping can be jointly optimized within the local sliding window. In addition, we evaluate the proposed algorithm using both real world and large-scale simulated scenes for qualitative and quantitative validations. The extensive experiments indicate that our system achieves start of the art results.
An Enzyme-Free Photoelectrochemical Sensor Platform for Ascorbic Acid Detection in Human Urine

A novel enzyme-free photoelectrochemical (PEC) potential measurement system based on Dy-OSCN was designed for ascorbic acid (AA) detection. The separation and transmission of internal carriers were accelerated and the chemical properties became more stable under light excitation due to the regular microstructure of the prepared Dy-OSCN monocrystal. More importantly, the PEC potential method (OCPT, open circuit potential-time) used in this work was conducive to the reduction of photoelectric corrosion and less interference introduced during the detection process, which effectively ensured the repeatability and stability of the electrode. Under optimal conditions, the monocrystal successfully served as a matrix for the detection of AA, and the prepared PEC sensor exhibited a wide linear range from 7.94 × 10−6 mol/L to 1.113 × 10−2 mol/L and a sensitive detection limit of 3.35 μM. Practical human urine sample analysis further revealed the accuracy and feasibility of the Dy-OSCN-based PEC platform. It is expected that such a PEC sensor would provide a new way for rapid and non-invasive AA level assessment in human body constitution monitoring and lays a foundation for the further development of practical products.