Miracle-dz/UniFAR-FTUs huggingface dataset:
Passivity-Short-based Stability Analysis of Load Frequency Control System with Demand Response

This paper deal with a stability analysis for a load frequency control (LFC) system including Demand Response (DR). To analyze system stability, LFC system is formulated to facilitate the application of passivity theory, and the passivity and passivity-short of the system are analyzed. At first, we express LFC system decomposing into a network system and area systems. Specifically, area systems include DR that occurs time-varying communication delay. Then, passivity analysis is applied to each system. As a result, we can clarify the area systems are output strictly passive if certain inequalities are satisfied, and the network system is passive. Simulation results show that the frequency deviation converges to a constant value under the derived inequality condition.
Arsenic and Tetracycline Resistant Microbial Diversity in High Arsenic Concentration Sediments

The Upper Tenmile Creek, which gives Helena most of its public water supply, is contaminated by historic mining activity. This mining adit drains into the creek creating elevated arsenic concentrations in the stream. These elevated arsenic levels can cause co-selection for arsenic and antibiotic resistance in microbial communities. The presence of these resistance genes was assessed through PCR near the Susie Lode and Lee Mountain mines in the Upper Tenmile Creek Superfund Site. Then isolated strains of bacteria were grown on selective media and their 16S genes were assessed to find the identity of each bacterial colony. There was detection of the tetW gene and amplification of the 16S gene, however none of the sequences were of sufficient quality to confirm the identity of bacteria growing on the selective media. Introduction: Nearly 2 million people acquire an antibiotic resistant infection annually in the United States (CDC 2013). Although this number is high, antibiotic resistant infections have not always been as much of a concern as they are today. A study conducted in the Netherlands by Knapp et al. (2010) showed that from five archival soil samples spanning from 1940 to 2008, all increased in abundance of the antibiotic resistance genes (ARGs). Knapp et al. (2010) tested the abundance of eighteen different ARGs in the soil samples, which all showed a range of two to fifteen times greater abundance of ARGs, with tetracycline resistance being the most common. Research links this increase with the increase of industrialization of antibiotics after WWII (Finley et al. 2013). Moreover, the use of antibiotics in agriculture has been detected as a source of selection for antibiotic resistant microbes, such as in fish aquacultures (Seiler & Berendok 2012). Seiler and Berendok (2012) also suggest that metals in microbial environments may cause cross-resistance for antibiotics. At the local level, acid mine drainage causes selection for microorganisms adapted to the contaminated and acidic stream sediments (Delavat et al. 2012). One of the most abundant metals
Study on Electrochemical Performance of Dimensionally Stable Anodes during Zinc Electrowinning

in zinc electrowinning, small amounts of manganese ions additives are needed in the electrolyte to reduce the corrosion of anodes and minimize the contamination of cathodic zinc by dissolved lead. however, excess manganese oxide could cover the dimensionally stable anodes (DSa) surface and decrease their service life. additives of phosphoric acid are put in the electrolyte to complex the manganic Mn 3+ ion and hence reduce its disproportionation to Mno 2 . in the investigation, phosphoric acid was added to sulfuric acid or zinc electrolytes, and conventional and recent electrochemical measurements were carried out to examine electrochemical behaviour of DSa (Ti/iro 2 -Ta 2 o 5 ) anode during zinc electrolysis at 48 ma/cm 2 and 39°c. it was observed that the anodic potentials of DSa anodes were lower by 27 mV after 5 h polarization in the zinc electrolyte containing 35 g/l phosphoric acid at 39°c. Electrochemical impedance measurements show that the addition of 35 ml/l h 3 Po 4 to the zinc electrolyte can increase impedance resistances of the DSa mesh anodes. cyclic voltammogram studies (cV) at a scan rate of 5 mV/s without agitation show that the oxidation peak in the solution with 35 ml/l phosphoric acid addition is highest, followed by that with 17 ml/l phosphoric acid addition and that without addition of phosphoric acid.
Inclusive Design of a Tool to Screen Literacy of Lower Grade Elementary School Students*

The failure to develop literacy in the lower grades has a great influence on the school life later. Accordingly, various commercial tools for measuring and diagnosing the level of literacy in children are being developed, and free tools for screening students with poor literacy are also being distributed. These tools are being developed on a computer based. Studies on literacy with multimodal data are starting. In this paper, we would like to present a prototype design of a screening tool KOBUKI that classifies dyslexic children by easily diagnosing literacy of Korean students. KOBUKI measures multimodal data and collecting them for machine learning.
Servicios avanzados de seguridad para un sistema de emergencias

Resumen La recuperación de un desastre requiere la coordinación e interacción oportuna de todos los servicios de emergencias para poder hacer una valoración conjunta de los datos obtenidos y elaborar una respuesta rápida y efectiva. En el presente trabajo se propone un sistema que permite el acceso, manipulación y transferencia de información sensible y urgente entre el personal de los organismos implicados. Los privilegios sobre los recursos están regulados mediante poĺıticas de seguridad que permiten definir el comportamiento del servicio en función de la sesión o contexto temporal del solicitante. La arquitectura propuesta está basada en tecnoloǵıa de redes ad hoc para el campo de operaciones, y una plataforma orientada a servicios en las sedes corporativas.
The fermentation optimization for alkaline protease production by Bacillus subtilis BS-QR-052

Introduction Proteases exhibit a wide range of applications, and among them, alkaline proteases have become a prominent area of research due to their stability in highly alkaline environments. To optimize the production yield and activity of alkaline proteases, researchers are continuously exploring different fermentation conditions and culture medium components. Methods In this paper, the fermentation conditions of the alkaline protease (EC 3.4.21.14) production by Bacillus subtilis BS-QR-052 were optimized, and the effect of different nutrition and fermentation conditions was investigated. Based on the single-variable experiments, the Plackett–Burman design was used to explore the significant factors, and then the optimized fermentation conditions, as well as the interaction between these factors, were evaluated by response surface methodology through the Box–Behnken design. Results and discussion The results showed that 1.03% corn syrup powder, 0.05% MgSO4, 8.02% inoculation volume, 1:1.22 vvm airflow rate, as well as 0.5% corn starch, 0.05% MnSO4, 180 rpm agitation speed, 36°C fermentation temperature, 8.0 initial pH and 96 h incubation time were predicted to be the optimal fermentation conditions. The alkaline protease enzyme activity was estimated to be approximately 1787.91 U/mL, whereas subsequent experimental validation confirmed it reached 1780.03 U/mL, while that of 500 L scale-up fermentation reached 1798.33 U/mL. This study optimized the fermentation conditions for alkaline protease production by B. subtilis through systematic experimental design and data analysis, and the activity of the alkaline protease increased to 300.72% of its original level. The established model for predicting alkaline protease activity was validated, achieving significantly higher levels of enzymatic activity. The findings provide valuable references for further enhancing the yield and activity of alkaline protease, thereby holding substantial practical significance and economic benefits for industrial applications.
Robots for Exploration, Digital Preservation and Visualization of Archeological Sites

Monitoring and conservation of archaeological sites are important activities necessary to prevent damage or to perform restoration on cultural heritage. Standard techniques, like mapping and digitizing, are typically used to document the status of such sites. While these task are normally accomplished manually by humans, this is not possible when dealing with hard-to-access areas. For example, due to the possibility of structural collapses, underground tunnels like catacombs are considered highly unstable environments. Moreover, they are full of radioactive gas radon that limits the presence of people only for few minutes. The progress recently made in the artificial intelligence and robotics field opened new possibilities for mobile robots to be used in locations where humans are not allowed to enter. The ROVINA project aims at developing autonomous mobile robots to make faster, cheaper and safer the monitoring of archaeological sites. ROVINA will be evaluated on the catacombs of Priscilla (in Rome) and S. Gennaro (in Naples).
Transforming transport in Thailand : experimenting for transitions in sustainable urban mobility

This review chapter systematically queries the sustainability transitions literature to unpack the concept of ‘experimentation’. A distinction is made between various terms (niche experiments, bounded socio-technical experiments, transition experiments, sustainability experiments and grassroots experiments), each with their own theoretical backgrounds and discursive and empirical focal points. Observed patterns and trends in the literature are discussed, as well as promising lines of enquiry for further exploration ofand a reflection on experimenting for sustainability transitions in the context of the welfare state.
Optimal Control for the Humanoid Robots Balance

In this article, a control approach is presented to maintain the static balance in both the sagittal and the frontal plane of a humanoid robot that is modeled as a cart-table system. The main objective is to design a state feedback controller to balance of the humanoid robot even in the presence of disturbances caused by interactions with the environment or other robots. In order to evaluate the performance of this technique, various experiments were conducted on a NAO humanoid robot using a simulation software based on physics engines. Successful results were obtained for balance regulation tasks, even in the presence of external disturbances, demonstrating the effectiveness and robustness of the proposed control scheme.
Post-operative nausea and vomiting prophylaxis: A meta-review on systematic reviews and meta-analyses

Introduction: Postoperative nausea and vomiting (PONV) are common complications in surgical patients undergoing general anesthesia, and multiple strategies have been suggested to prevent them. Objective: To describe the available evidence on the effectiveness of pharmacological and non-pharmacological strategies for preventing PONV in adults undergoing surgery under general anesthesia, as reported in previous meta-analyses and systematic reviews. Methodology: An overview of systematic reviews and meta-analyses was conducted. Searches were performed in PubMed, EBSCO, EMBASE, Cochrane Database, Science Direct, and Scopus, without restrictions as to gender, clinical condition, or date of publication, including articles in Spanish, French, and English only. Two reviewers independently and in duplicate did the screening, data extraction, quality evaluation, and risk of bias assessment according to AMSTAR-2. The PRISMA and PRIOR statements were followed for reporting. PROSPERO registration number CRD42021251999. Results: Out of 80 candidate articles, three were viable for meta-analysis. 1.5 mg to 18 mg doses of Dexamethasone showed a significant reduction in the risk of PONV, with a RR of 0.48 (95 % CI 0.41-0.57; p<0.001), I2=63 % (p=0.07), and a NNTc of 5 and 7. Other effective strategies included the use of acoustic stimulation/acupuncture/acupressure, 5HT3 antagonists, NK1 antagonists, gabapentinoids, haloperidol, droperidol, metoclopramide, midazolam, mirtazapine, among others. The risk of publication bias was low. Conclusion: Different strategies are effective for PONV prophylaxis in surgeries under general anesthesia. Dexamethasone shows the best available evidence at the moment. The documented methodological quality suggests the need for better studies to establish the effectiveness of the strategies.
Atmospheric mercury speciation and aerosol properties at Ny-Ålesund

Gaseous elemental mercury (GEM), reactive gaseous mercury (RGM) and particulate bound mercury (PHg) measurements at Zeppelin station, Ny-Ålesund, Svalbard were analyzed for the correlations with meteorological conditions and aerosol number concentrations. During the study period from 1 April 2007 to 31 December 2011, a full atmospheric mercury depletion event (AMDE) only appeared at a temperature range of -23 to −12◦C. The highest monthly median values of RGM concentrations appeared in April (11 pg m−3) and June (6 pg m−3). PHg concentrations were generally higher in winter-spring period (November-April), and the highest monthly median values appeared in February (17 pg m−3) and April (13 pg m−3). The meteorological conditions including temperature, relative humidity and precipitation were intimately correlated with the concentrations of GEM, RGM and PHg. AMDEs had a general trend to occur under low temperature, high relative humidity, and low precipitation. It has been found that either very high relative humidity (around 98%) or no accumulated precipitation during the recent few hours backward trajectory would seem to provide a good condition for the high PHg concentrations to occur. The accumulation mode aerosols with a size range between 100 and 562 nm in diameter seemed to be most characteristic for hosting PHg, and mercury might not tend to associate with particles smaller than 100 nm in diameter. PHg might consist of much cloud associated mercury during AMDEs.
Robust Region Feature Extraction With Salient MSER and Segment Distance-Weighted GLOH for Remote Sensing Image Registration

Remote sensing image registration is one of the crucial steps in remote sensing image processing, where ground control information is essential. Maintenance of control point databases is complex and expensive. Consequently, lightweight feature databases are emerging. Lightweight feature databases need to store stable and reproducible features. In this context, region features exhibit a distinct advantage. In feature registration methods, the reproducibility of regional features is typically stronger than with individual points. A popular feature region matching method is currently the combination of maximally stable extremal regions (MSER) and scale-invariant feature transform (SIFT). However, the direct combining of MSER and SIFT has difficulties primarily due to redundancy and overlap in regions extracted by MSER, as well as the conflict in applying texture descriptors on homogeneous regions. In this research, we first suggest a salient MSER detection approach that combines frequency-tuned salient region detection and effective nonmaximum suppression filtering to get rid of redundant information and enhance the stability and dependability of the feature region; afterward, we describe the feature region using the unique, enhanced segment distance-weighted gradient location-orientation histogram, which aims to comprehensively describe the feature regions by incorporating more information about the gradient at the edges of the regions. In the experimental phase, we validate the proposed method using multiple remote sensing images. The experimental results confirm the superiority of the proposed method and demonstrate the significant potential and advantages of feature region matching in the context of lightweight feature databases and remote sensing image registration.
Apakah Persepsi Kesetaraan Gender dan Motivasi Berprestasi dapat Meningkatkan Perencanaan Karir dan Kinerja Pegawai?

Perencanan karir diharapkan mampu menjadi stimulus dalam diri seseorang untuk termotivasi dalam bekerja dan berprestasi. Karir akan menjadi dorongan bagi pegawai selain bagi pelaksanaan tugas dari organisasi, namun bagi individu pegawai akan menjadi pencapaian yang akan meningkatkan peran dan posisinya dalam organisasi. Riset ini ditujukan untuk menguji apakah persepsi kesetaraan gender dan motivasi berprestasi berpengaruh terhadap perencanaan karir dan kinerja pegawai. Penelitian ini merupakan penelitian kuantitatif dengan pendekatan penelitian asosiatif. Populasi penelitian adalah Pegawai Negeri Sipil di Kabupaten Bondowoso yang berjenis kelamin perempuan sejumlah 3500 orang (data tahun 2022). Sampel penelitian ditentukan dengan non-probability sampling dan jumlah sampel mengacu pada Rumus Slovin sebanyak 97 orang. Untuk analisis data dilakukan dengan analisis Structural Equation Model (SEM) dengan pendekatan Partial Least Square/SEM-PLS. Hasil penelitian menunjukkan kesetaraan gender berpengaruh positif dan signifikan terhadap perencanaan karir dan kinerja. Motivasi berprestasi berpengaruh positif dan signifikan terhadap perencanaan karir dan kinerja. Perencanaan karir berpengaruh positif dan signifikan terhadap kinerja.
Altered CD39 and CD73 Expression in Rheumatoid Arthritis: Implications for Disease Activity and Treatment Response

In rheumatoid arthritis (RA) synovium, ATP, and ADP are released, sparking inflammation. Ectoenzymes CD39 and CD73 metabolize these purine nucleotides, generating anti-inflammatory adenosine. Therefore, dysregulated CD39 and CD73 expression may impact RA development. We assessed CD39 and CD73 expression in peripheral blood from 15 healthy controls (Cs) and 35 RA patients at baseline and after 3 and 6 months of tocilizumab treatment using flow cytometry. Additionally, ectoenzyme expression was examined on cultured T cells to understand activation and IL-6 effects. At baseline, RA patients exhibited a lower CD8+CD39−CD73+ cell percentage, which inversely correlated with DAS28. Additionally, they had lower percentages of Treg CD39+CD73+ and CD39−CD73− cells. Good responders tended to have lower B CD39+CD73+ cell percentages at baseline and 3 months. Additionally, Treg, CD8+ T and B cells inversely correlated with DAS28. T-cell activation increased CD39 and decreased CD73 expression, regardless of IL-6. IL-6 reduced IFNγ-secreting CD4+ T-cell percentage in Cs, but increased the percentage of IFNγ-secreting CD4+ and CD8+ T cells in RA patients. These findings indicate differing CD39 and CD73 expression in RA and Cs, influenced by T-cell activation and IL-6. Correlations between these molecules and RA activity suggest their role in dysregulated inflammation in RA.
Analysis of static electricity-induced luminescent based on HLAC features

Static electricity consumption is a major cause of fatal errors in manufacturing. However, there is no established method for quantitatively evaluating invisible static electricity, which makes error detection difficult. Therefore, in this study, the luminescent of static electricity-emitting materials developed by the National Institute of Advanced Industrial Science and Technology (AIST) was imaged while varying the applied voltage, and the relationship between “applied voltage” and “spatial changes (primarily shape)” was investigated using HLAC and principal component analysis (PCA). It was confirmed that the extracted higher-order local autocorrelation (HLAC) can be compressed from 35 to 12 dimensions, and more than 90% of the information is included in PCA1 and PCA2. The analysis results revealed that PCA1 may extract a “wide range of high-intensity luminescent” and PCA2 may extract “spatial changes. ” Moreover, they confirmed that this information depends on the applied voltage. Therefore, a method for extracting features that can be a part of quantitative evaluation was proposed.
Superpixels-Based Automatic Density Peaks and Fuzzy Clustering Approach in COVID-19 Lung Segmentation

Clustering algorithms that rely on minimizing an objective function suffer from the drawback of requiring manual setting of the number of clusters. This limitation becomes particularly evident when applied to image segmentation, where the large number of pixels can lead to memory overflow issues. To overcome this challenge, a reference of Automatic Fuzzy Clustering Framework (AFCF) for image segmentation method has been used as the comparison to the Density Peaks Clustering (DPC) algorithm. AFCF used superpixel algorithm to reduce the spatial information of data during computation, DPC algorithm to generate decision graph, and prior entropy-based fuzzy clustering (PEFC) algorithm to achieve fully automatic segmentation method in determining the number of cluster and the clustering result. In this study, 50 open-source healthy, COVID-19 and pneumonia infected radiographs dataset are acquired from the Kaggle and Github. The radiographs dataset that segmented by DPC is down sampling to 100*100 pixels due to overloading computation. At the end of the image segmentation, a segmentation performance evaluation is conducted based on sensitivity, specificity, accuracy, precision, recall, F-score and time consumed. The result shows that AFCF algorithm has the better overall performance with higher accuracy of 92.48% and F-score 0.9455. Meanwhile, the most highlighted evaluation index is drop to the time consume comparison, AFCF has around 2.7 times faster processing speed compare to DPC algorithm.
Processos Evolutivos na Amazônia e na Mata Atlântica Evolutionary Processes in the Amazon and Atlantic Forest

The Amazon and the Atlantic Forest biomes are amongst ecosystems with high levels of biodiversity in the world, and are separated by a broad diagonal of more xeric habitats comprising the Chaco, the Cerrado uplands, and the Caatinga. In the last decade, studies on biogeography and evolution of the Atlantic Forest have showed that
Facilitated Transport across Glycocalyceal Barriers in the Chick Chorioallantoic Membrane

Targeted drug delivery to visceral organs offers the possibility of not only limiting the required dose, but also minimizing drug toxicity; however, there is no reliable method for delivering drugs to the surface of visceral organs. Here, we used six color tracers and the chick chorioallantoic membrane (CAM) model to investigate the use of the heteropolysaccharide pectin to facilitate tracer diffusion across the glycocalyceal charge barrier. The color tracers included brilliant blue, Congo red, crystal violet, indocyanine green, methylene blue, and methyl green. The direct application of the tracers to the CAM surface or embedding tracers into linear-chain nanocellulose fiber films resulted in no significant diffusion into the CAM. In contrast, when the tracers were actively loaded into branched-chain pectin films, there was significant detectable diffusion of the tracers into the CAM. The facilitated diffusion was observed in the three cationic tracers but was limited in the three anionic tracers. Diffusion appeared to be dependent on ionic charge, but independent of tracer size or molecular mass. We conclude that dye-loaded pectin films facilitated the diffusion of color tracers across the glycocalyceal charge barrier and may provide a therapeutic path for drug delivery to the surface of visceral organs.