Miracle-dz/UniFAR-FTUs huggingface dataset:
Thermotomaculum hydrothermale gen . nov . , sp . nov . , a novel heterotrophic 1 thermophile within the phylum Acidobacteria from a deep-sea hydrothermal vent 2 chimney in the Southern Okinawa Trough 3 4

27 A novel heterotrophic, thermophilic bacterium, designated strain AC55, was isolated 28 from a deep-sea hydrothermal vent chimney at the Hatoma Knoll in the Okinawa 29 Trough, Japan. Cells of strain AC55 were non-motile, long rods (2.0-6.8 ! m long and 30 0.3-0.6 ! m wide). The strain was an obligatory anaerobic heterotroph capable of 31 fermentative growth on complex proteinaceous substances. Elemental sulfur was 32 reduced to hydrogen sulfide but did not stimulate growth. Growth was observed 33 between 37 and 60 °C (optimum 55 °C), pH 5.5 and 8.5 (optimum pH 6.6), and in the 34 presence of 1.5-4.5 % (w/v) NaCl (optimum 2.5 %, w/v). Menaquinone-7 and -8 were 35 the major respiratory quinones. The G + C content of the genomic DNA from strain 36 AC55 was 51.6 mol%. The 16S rRNA gene sequence analysis revealed that strain 37 AC55 was the first cultivated representative of Acidobacteria subdivision 10. Based on 38 the physiological and phylogenetic features of the novel isolate, the genus name 39 Thermotomaculum gen. nov. is proposed, with Thermotomaculum hydrothermale sp. 40 nov. as the type species. The type strain is AC55 (= JCM 17643 = DSM 24660 = 41 NBRC 107904). 42 43
Scattering transform in microstructure reconstruction

Descriptor‐based microstructure characterization plays a crucial role in the field of reversed material engineering for random heterogeneous media. With the advent of differentiable microstructure characterization and reconstruction, there has been a growing interest in the development of differentiable formulations of descriptors. The search for effective descriptors becomes indispensable to adequately characterize a wide range of microstructures. This work proposes a novel approach to construct a descriptor by utilizing a wavelet‐based transformation called the scattering transformation on microstructure images. The characterization and reconstruction capabilities of this newly developed descriptor are compared to a benchmark descriptor based on spatial correlation functions using various 2D microstructure images. The comparative analysis aims to evaluate the effectiveness and potential advantages of the proposed wavelet‐based descriptor.
A Review on the Antimutagenic and Anticancer Effects of Cysteamine

Cancer is one of the leading causes of death worldwide. First-line treatments usually include surgery, radiotherapy, and/or systemic therapy. These methods can be associated with serious adverse events and can be toxic to healthy cells. Despite the new advances in cancer therapies, there is still a continuous need for safe and effective therapeutic agents. Cysteamine is an aminothiol endogenously synthetized by human cells during the degradation of coenzyme-A. It has been safely used in humans for the treatment of several pathologies including cystinosis and neurodegenerative diseases. Cysteamine has been shown to be a potent antimutagenic, anticarcinogenic, and antimelanoma in various in vitro and in vivo studies, but a review on these aspects of cysteamine's use in medicine is lacking in the current literature. The efficacy of cysteamine has been shown in vitro and in vivo for the treatment of different types of cancer, such as gastrointestinal cancer, pancreatic cancer, sarcomas, hepatocellular carcinoma, and melanoma, leading to the significant reduction of lesions and/or the increase of survival time. Although the mechanisms of action are not fully understood, possible explanations are (i) free radical scavenging, (ii) alteration of the tumor cell proliferation by affecting nucleic acid and protein synthesis or inhibition of DNA synthesis, and (iii) hormone regulation. In conclusion, regarding the high safety profile of cysteamine and the current literature data presented in this article, cysteamine might be considered as an interesting molecule for the prevention and the treatment of cancer. Further clinical studies should be performed to support these data in humans.
Investigation and Comparison of Different Calculation Methods for AC Copper Loss of Flat Copper Wire in Axial Flux Permanent Magnet Motor

The AC copper loss of flat copper wire in axial flux permanent magnet (AFPM) motor can seriously affect the performance, so it cannot be ignored when optimizing the motor design. Accurate results can be obtained using 3-D transient field finite element (FE) to calculate AC copper loss. However, the calculation time is long, which is not conducive to the motor optimization design. In order to consider the effects of the external magnetic field, conductor arrangement mode, stator tooth-tip, skin effect, and proximity effect on AC copper loss and to balance the calculation accuracy and calculation time, the analytical calculation method and hybrid analytical calculation method are proposed. The analytical calculation method combines complex eddy current equation with the precise subdomain method, and the hybrid analytical calculation method combines three-dimensional FE with the analytical method. In order to comprehensively compare different calculation methods, the proposed methods are used to analyze the AC copper loss and motor efficiency under different conductor arrangement modes and working conditions, and the simulation verification is carried out by three-dimensional transient field. Finally, through the AC resistance experiment and prototype experiment, the accuracy of the proposed methods is verified, and the characteristics of different methods are summarized.
Food and livelihoods in park-adjacent communities: 15 The case of the Odzala Kokoua National Park

Protected areas (PAs) in Central Africa provide unprecedented opportunities to 36 maintain ecosystem integrity and safeguard the unique wildlife of one of the most 37 biodiverse regions in the world. However, conflicts exist between wildlife protection, 38 and the needs of human populations adjacent to PAs. Although the use of wildlife 39 resources within PAs is nominally regulated, wildlife exploitation in the areas 40 surrounding parks benefit human nutrition and livelihoods of adjacent populations. In 41 2013-2014, we interviewed 28% of all known households in 37 villages surrounding 42 the Odzala Kokoua National Park (OKNP), Republic of Congo. We gathered 43 information on bushmeat consumption, income, material assets, and hunter 44 perception of the state of wildlife. We show that bushmeat species (mostly duikers, 45 small monkeys and porcupine) were consumed in 38-48% of meals, and 20-30% of 46 households earned cash from hunting wildlife in most villages; more than any other 47 single source of revenue, except cocoa. Although it remains unknown whether the 48 park was a reservoir for wildlife for areas around the studied villages, we showed 49 that more bushmeat was consumed closer to OKNP. By contrast, income from 50 bushmeat sales in villages closer to markets was greater, and as a corollary, market 51 access and household wealth were positively correlated. Overall, total household 52 income, income from bushmeat sales, travel time, and distance to the OKNP were 53 good predictors of household wealth. Wildlife, although considered more abundant 54 around villages closest to the park, was perceived as generally declining around all 55 village groups. Our results highlight the possible importance of PAs and adjacent 56 areas as reservoirs of wildlife and in maintaining wild meat resources used by the 57 surrounding human populations.
Comparative protein structure modeling of genes and genomes

Structural genomics aims to determine or accurately predict 3D structure of most proteins [1]. This aim is being achieved by a focused, large-scale determination of protein structures by X-ray crystallography and NMR spectroscopy, combined eﬃciently with accurate protein structure prediction [2]. Comparative protein structure modeling will be discussed in this context. To allow large-scale modeling, we automated fold assignment, sequence-structure alignment, comparative model building, and model evaluation [3]. These steps were implemented mostly in our MODELLER package, which is available on the web atr http://salilab.org. The modeling pipeline has been applied to all of the approximately 730,000 protein sequences in the TrEMBL database, resulting in models for segments of approximately 330,000 proteins. These models are stored in the MODBASE database [4], accessible over the web at http://salilab.org/modbase. Several examples of how comparative modeling can be useful in the biological analysis of individual proteins as well as whole genomes will be described.
K-TAHP: A Kubernetes Load Balancing Strategy Base on TOPSIS+AHP

Kubernetes is an orchestration platform designed for containerized applications,allows the application provider to scale automatically to match the flfluctuating intensity of processing demand. Container cluster technology is used to encapsulate, isolate, and deploy applications, addressing the issue of low system reliability due to interlocking failures. However, after running for a long time, Kubernetes clusters often suffer from uneven system load, leading to a performance decline. To address this issue, a load balancing strategy called K-TAHP, based on TOPSIS and AHP, is proposed. This strategy takes cpu, memory, and bandwidth usage as load factors and uses K-TAHP to construct load evaluation. By employing a warning module and a migration module, it migrates high-load pods from overloaded nodes to nodes with lower loads, thus improving load balancing in the Kubernetes cluster and resolving performance degradation caused by load imbalance after prolonged cluster operation. The experimental results show that the K-TAHP load balancing strategy can improve the load balancing capability of Kubernetes clusters by around 60%. It effectively resolves the issue of load imbalance that can occur after long periods of operation in Kubernetes clusters. Additionally, it ensures uninterrupted pod services during migration, thereby maintaining the overall performance of the cluster.
Oxygen Exposure and Tolerance Shapes the Cell Wall-Associated Lipids of the Skin Commensal Cutibacterium acnes

Cutibacterium acnes is one of the most abundant bacteria on the skin. Being exposed to oxygen and oxic stress, the secretion of the bacterial antioxidant protein RoxP ensures an endogenous antioxidant system for the preservation of skin health. To investigate the impact of the antioxidant RoxP on oxidation of the bacteria, wildtype and an isogenic roxp mutant were cultured in anaerobic and oxic conditions. The carbonylated status of proteins were recorded, as were the most significant modifications in a relative intensity of free fatty acids (FFA) and lipids containing fatty acids (FA), such as di- (DG) and triglycerides (TG), di- (DGDG) and sulfoquinozyldiacylglycerol (SQDG) and ceramides. Concerning the fatty acid types, it was observed that the free fatty acids contained mainly C12:0–C26:0 in hydroxy and acylated forms, the DG contained mainly C29:0–C37:0, the TG contained mainly C19:0–C33:0, and the DGDG/SQDGs contained very long fatty acids (C29:0–C37:0) demonstrating the interdependence of de novo synthesis of lipids and RoxP. The area of DGDG peaks (924.52, 929.56 and 930.58) were affected by bacterial growth conditions, with the exception of m/z 910.61. Moreover, the FFA unsaturation is wider in the SQDG species (C30:0 to C36:6) than in DG, TG or free FFA species. It could be concluded that both environmental oxidative statuses, as well as the prevalence of bacterial antioxidant systems, significantly shape the lipidome of C. acnes.
Measurements and model improvement: Insight into NWP model error using Doppler lidar and other WFIP2 measurement systems

Doppler-lidar wind-profile measurements at three sites were used to evaluate NWP model errors from two versions of NOAA’s 3-km-grid HRRR model, to see whether updates in the latest version-4 reduced errors when compared against the original version-1. Nested (750-m-grid) versions of each were also tested to see how grid spacing affected forecast skill. The measurements were part of the field phase of the Second Wind Forecasting Improvement Project (WFIP2), an 18-month deployment into central Oregon/Washington, a major wind-energy producing region. This study focuses on errors in simulating marine intrusions, a summertime, 600-to-800-m deep, regional sea-breeze flow found to generate large errors. HRRR errors proved to be complex and site dependent. The most prominent error resulted from a premature drop in modeled marine-intrusion wind speeds after local midnight, when lidar-measured winds of greater than 8 m s−1 persisted through the next morning. These large negative errors were offset at low levels by positive errors due to excessive mixing, complicating the interpretation of model ‘improvement,’ such that the updates to the full-scale versions produced mixed results, sometimes enhancing but sometimes degrading model skill. Nesting consistently improved model performance, version-1’s nest producing the smallest errors overall. HRRR’s ability to represent the stages of sea-breeze forcing was evaluated using radiation-budget, surface-energy balance, and near-surface temperature measurements available during WFIP2. The significant site-to-site differences in model error and the complex nature of these errors means that field-measurement campaigns having dense arrays of profiling sensors are necessary to properly diagnose and characterize model errors, as part of a systematic approach to NWP model improvement.
Accuracy of Nanopore Sequencing as a Diagnostic Assay for Pulmonary Tuberculosis versus Smear, Culture and Xpert MTB/RIF: A Head-to-Head Comparison

Early diagnosis of pulmonary tuberculosis (PTB) is pivotal for achieving effective tuberculosis (TB) control. This study aimed to assess the effectiveness of nanopore sequencing of sputum, bronchoalveolar lavage fluid (BALF), and pleural fluid samples for achieving early PTB diagnosis and provided head-to-head comparisons of nanopore sequencing results versus results obtained using smear, culture, and Xpert MTB/RIF assays. Patients admitted from October 2021 to April 2023 were screened for PTB using diagnostic imaging and electronic medical records. A total of 172 patients (129 PTB, 43 non-TB patients) were included in the final analysis after the exclusion of patients who did not meet the study’s inclusion criteria. PTB-positive rates were determined for each assay, and then, assay diagnostic efficacies were compared. The positive MTB-detection rates obtained using nanopore sequencing were 86.8% for all samples, 62.3% for BALF, and 84.6% for pleural fluid, all of which were significantly higher than the corresponding rates obtained using the other three assays. The overall sensitivity rates, specificity rates, and area under the curve (AUC) values obtained from smear testing were 5.4%, 95.3%, and 0.504, respectively, as compared to the respective results obtained via culture (18.6%, 100.0%, and 0.593), Xpert MTB/RIF (26.4%, 97.7%, and 0.620), and nanopore sequencing (85.3%, 95.4%, and 0.903). The diagnostic efficacy of nanopore sequencing surpassed the diagnostic efficacies of smear, culture, and Xpert MTB/RIF assays. Thus, nanopore sequencing holds promise as an alternative to Xpert MTB/RIF for early PTB detection, particularly for the testing of BALF and pleural fluid samples.
Channel Pruning-Based YOLOv7 Deep Learning Algorithm for Identifying Trolley Codes

The identification of trolley codes poses a challenge in engineering, as there are often situations where the accuracy requirements for their detection cannot be met. YOLOv7, being the state-of-the-art target detection method, demonstrates significant efficacy in addressing the challenge of trolley coding recognition. Due to the substantial dimensions of the model and the presence of numerous redundant parameters, the deployment of small terminals in practical applications is constrained. This paper presents a real-time approach for identifying trolley codes using a YOLOv7 deep learning algorithm that incorporates channel pruning. Initially, a YOLOv7 model is constructed, followed by the application of a channel pruning algorithm to streamline its complexity. Subsequently, the model undergoes fine-tuning to optimize its performance in terms of both speed and accuracy. The experimental findings demonstrated that the proposed model exhibited a reduction of 32.92% in the number of parameters compared to the pre-pruned model. Additionally, it was observed that the proposed model was 24.82 MB smaller in size. Despite these reductions, the mean average precision (mAP) of the proposed model was only 0.03% lower, reaching an impressive value of 99.24%. We conducted a comparative analysis of the proposed method against five deep learning algorithms, namely YOLOv5x, YOLOv4, YOLOv5m, YOLOv5s, and YOLOv5n, in order to assess its effectiveness. In contrast, the proposed method considers the speed of detection while simultaneously ensuring a high mean average precision (mAP) value in the detection of trolley codes. The obtained results provide confirmation that the suggested approach is viable for the real-time detection of trolley codes.
Constructing Reason

Abstract In The Architectonic of Reason, Lea Ypi provides an illuminating and innovative interpretation of the Architectonic in the first Critique. Ypi argues that Kant’s project of uniting practical and theoretical uses of reason in a critical metaphysics ultimately fails because practical reason does not have its own domain in which to legislate. This article challenges Ypi’s objection to practical reason’s lack of a domain in the first Critique. Its main contention is that reason’s need for unity in legislation may be satisfied by a belief in God as a necessary practical presupposition rather than a dogmatic metaphysical reality.
Sinfonia: Uma abordagem colaborativa e flexível para modelagem e execução de processos de négocios

Para realizar servicos e produtos, as organizacoes precisam executar processos de negocio. A efetividade destes processos e um fator critico para o sucesso de qualquer organizacao. Por essa razao, tem havido grandes esforcos para o desenvolvimento de tecnicas e ferramentas dirigidas para a melhoria de processos de negocio. Um dos resultados produzidos por esses esforcos sao os BPMS (Business Process Management Systems), softwares que auxiliam a definicao, analise, e gerenciamento de processos de negocio. Embora existam diversos BPMS disponiveis, os sistemas atuais apenas proveem suporte a execucao de um conjunto limitado de processos. Notadamente os BPMS nao permitem a execucao de processos flexiveis, restringindo sua atuacao aos processos definidos. Alem disso, eles nao proporcionam um ambiente colaborativo de modelagem de processos. Este trabalho apresenta uma arquitetura de software para gerencia de processos de negocio que supera essas limitacoes dos BPMS atuais. A arquitetura foi empregada para a implementacao de uma ferramenta de software denominada Sinfonia, que contempla um metamodelo de processos de negocio, uma maquina de execucao de processos e um modelador grafico de processos. Os aspectos inovadores das propostas do presente trabalho abrangem caracteristicas como o suporte a definicao e execucao de processos flexiveis, tais como processos empiricos e ad hoc, e o apoio a modelagem colaborativa de processos. A ferramenta Sinfonia tem poder de expressao suficiente para definir e executar os principais padroes de processos de negocio descritos na literatura. A capacidade dessa ferramenta de expressar processos flexiveis e de promover a colaboracao na modelagem de processos de negocio foram avaliadas em um experimento envolvendo quatorze participantes. Os resultados desse experimento proveem evidencias de que Sinfonia contribui para a evolucao dos BPMS.
Investigation of Crosslinking Parameters and Characterization of Hyaluronic Acid Dermal Fillers: From Design to Product Performances

Despite process similarities, distinctive manufacturing technologies offer hyaluronic acid dermal fillers with different in vitro physicochemical and rheological properties due to peculiar crosslinked hydrogel networks. A better understanding of dermal filler properties could provide specific clinical indications and expectations with more accurate performance correlations. In this study, with an emphasis on the degree of modification, hyaluronic acid concentration and molecular weight, these process parameters were able to modulate dermal filler properties, especially rheology. Moreover, an extensive characterization of commercial hyaluronic acid injectables of the Hyal System line was described to present product properties and help to elucidate related clinical effects. Standardized methodologies were applied to correlate in vitro parameters with feasible clinical indications. In view of an optimized dermal filler design, the results of the extrudability measurements allowed the quantification of the effect of hydrogel composition, rheological properties and needle size on injectability. Composition, dynamic viscosity and needle size showed an impactful influence on hydrogel extrudability. Finally, the positive influence of 200 KDa hyaluronic acid in comparison to fragments of ether-crosslinked hyaluronic acid on fibroblast recognition were shown with a migration assay.
Determinants of corporate social responsibility for Dutch listed firms

This study investigates determinants of corporate social responsibility (CSR) for Dutch listed firms. It extends existing academic literature in two ways: (1) it obtains an increasing understanding of CSR because multiple theories related to CSR are investigated, and (2) it examined a broad range of determinants of which some have not previously been analyzed for Dutch firms. Determinants include size, financial performance, ownership concentration, ownership identity, outside board directors, and women board directors. Data on determinants is obtained from ORBIS database and annual reports. Data on CSR is obtained from the Transparency Benchmark (TB) provided by the Ministry of Economic Affairs. The relationship between determinants and CSR is empirically investigated using regression analyses. Empirical results confirm the importance of firm characteristics in shaping CSR and show that CSR depends on firm size, the level of ownership concentration, and ownership identity. Contrary to expectations, neither financial performance, outside board directors or women board directors is associated with CSR. Results of this study also show that determinants of CSR of Dutch listed firms are not different than determinants in other countries.
Multiagent based distributed control for operation cost minimization of droop controlled AC microgrid using incremental cost consensus

Microgrid, as a promising technology to integrate renewable energy resources in the distribution system, is gaining increasing research interests recently. Although many previous works have been done based on the droop control in a microgrid, they mainly focus on achieving proportional power sharing based on the power rating. With various types of distributed generator (DG) units in the system, factors that closely related to the operation cost, such as fuel cost and efficiencies of the generator should be taken into account in order to improve the efficiency of the whole system. In this paper, a multiagent based distributed method is proposed to minimize operation cost of the AC microgrid. Each DG is acting as an agent which regulates the power individually using proposed frequency scheduling method. Optimal power command is obtained through carefully designed consensus algorithm with only light communication between neighboring agents. Case studies verified that the proposed control strategy can effectively reduce the operation cost.