bluuebunny/crossref_metadata_2025 huggingface dataset:
Hierarchical Structures Computational Design and Digital 3D Printing
Authors: Borunda Luis , Anaya Jesús
Published: November 2022

Current advances in construction automation, especially in large-scale additive manufacturing, highlight the vast potential for robots in architecture. Robotic construction is unique in its potential to reproduce highly complex structures. To advance the question of how rapid prototyping
techniques are adopted in large-scale 3D printing of forms and structures, this paper presents computational methods for the design and robotic construction of cellular membranes. This research presents a comprehensive morphological model of structurally differentiated cellular membranes based
on the theoretical biology model of hierarchical structures found in natural cellular solids, and, more specifically, in trabecular bone. The morphological model originates from a system of forces in equilibrium; therefore, it presents the geometric homology of a static tensional system. This
research offers a methodology for the design and manufacture of meso- to large-scale triangulated geometric configurations by discrete design methods that are suitable for the robotic fused deposition of lattices and their architectural implementation in the automated manufacturing of shell
structures. First, this paper explores how a form can be digitally created by geometrically emulating a given static system of forces in space. Second, inspired by the complex mechanical behavior of cancellous bone, we apply hierarchical principles found in bone remodeling to characterize
discrete units that conform to continuous trabecular-like lattices. We study the geometry, limitations, opportunities for optimization, and mechanical characteristics of the lattice. The computational design methods and additive manufacturing techniques are tested in the design and construction
hierarchical structures.
Samurai Survival Statistics: A Monte-Carlo Approach to Game-Theoretical Sudden Death Interactions
Authors: Garcia Paulo
Published: November 2022

Sword-duels are interesting, from a game-theoretical perspective, as they correspond to sudden-death interactions between players (i.e., defeat means removal from the game), and where victory/defeat depend on not just skill, but also luck. Analyzing probabilities of victory streaks, given a certain level of self and others' skill, is thus relevant for any application domain that can be modeled in the same way. This paper takes inspiration from Miyamoto Musashi, famously undefeated for 61 duels, and implements a Markov-chain Monte-Carlo simulation approach to evaluate this scenario. Results suggest that a 61 victory streak can be probabilistically observed when skill level is roughly 6.5 times that of the average duelist, and with 95\% confidence when skill level is roughly 1000 times that of the average duelist. More generally, this paper provides a method for determining chances of victory streaks in game-theoretical sudden-death encounters, when both "skill" and "luck" contribute to the outcome of the encounter. Specific scenarios can be modeled by modifying the utilized Markov chain and adjusting sampled distributions as required.
Environmental pH and Supplemental C Exert Little Impact on Shrimp, but Profound Impacts on Plants in Marine Aquaponics
Authors: Chu Yu-Ting , Bao Yiwen , Huang Jen-Yi , Kim Hye-Ji , Brown Paul B.
Published: November 2022

pH is the major factor that makes producers in aquaponics frustrated, since the main three organisms (aquatic animal, plant, and microbes) in the system with different preferences. Yet, amending the growing environment with additional C is a potential method to improve the growth of shrimp and plants as well as the establishment of microbe. A detailed study of the effects of pH and additional C on aquaponics under saline conditions has not been investigated. In this study, the effect of pH and additional C on the growth performance of shrimp (Litopenaeus vannamei) and five edible plants in marine aquaponic systems using the nutrient film technique (NFT) was evaluated. The results indicated that at both pH 6.5 treatments, plants grew better; nevertheless, the growth performance of plants in pH 7.5 with additional C was improved and showed a similar yield to lower pH treatments. On the other hand, shrimp growth was little affected by pH and additional C. A higher impact of imbalanced ionic composition on shrimp performance may have contributed to this trend. Hence, we suggest that only if the ionic composition is managed can make RO water a suitable source of water for shrimp-based aquaponic. In spite of this, more research is required.
Complement Class Fine-Tuning of Naïve Bayes for Severely Imbalanced Datasets
Authors: Alenazi Fahad S. , Hindi Khalil El , AsSadhan Basil
Published: November 2022

In this work, we adapt the fine-tuning algorithm of the Naïve Bayesian (FTNB) classifier to make it more suitable for imbalanced datasets. In particular, we boost misclassified instance probability terms by an amount that is disproportional to the harmonic mean of actual and predicted classes. The intuition is that discriminative attributes when the instance is misclassified would have small probability term pair values in both the actual class due to data scarcity and the predicted class due to weak correlation. Conversely, if both values are relatively high, then the attribute has good data coverage (support) and it should not be a cause for misclassification. Since the harmonic average is dominated by the smaller value and we have an imbalanced dataset, we should enact a large update if both or either term probabilities of actual and predicted classes are small. We used several benchmark datasets (60 different balanced and imbalanced datasets) to determine if the poor performance of the NB classifier is due to the scarcity of data and compared the performance of the proposed algorithm with NB, original FTNB, and other relatively new SOTA Ensemble Imbalanced Classifiers. Our empirical results reveal that the new proposed algorithm significantly outperforms all other classifiers.
Multiplex PCR Detects Respiratory Viruses at A Much Higher Rate in Kawasaki Disease
Authors: Nagasawa Masayuki , Shimoyama Teruyoshi , Hashimoto Sayuri , Nakagawa Ryuichi , Yokoyama Haruna , Okada Mari , Udagawa Tomohiro , Oshiba Akihiro
Published: November 2022

In Kawasaki disease (KD), convulsions are rare and mostly attributed to latent and coexisting encephalitis/encephalopathy due to KD itself. Therefore, we retrospectively investigated concomitant viral infections in patients with KD. Between January 2012 and December 2020, among 523 patients with KD, 7 (1.53%), 1 (0.19%), 6 and 1 (1.15% and 0.19%) were positive for adenovirus (AdV-Ag), respiratory syncytial virus (RSV-Ag), and influenza A or B (Flu A-Ag or Flu B-Ag) antigens, respectively. Among them, two were positive for both AdV-Ag and FluA-Ag. Seven patients with KD (1.3%) presented febrile convulsions, and only one was diagnosed with encephalitis/encephalopathy. Between January 2021 and August 2022, 57 patients with KD were newly diagnosed among whom FilmArray® respiratory panel (FARP) was applied on 24 patients, and 14 (58.3%) were positive for at least one virus. During the same period, 32 out of 45 patients (71.1%) with febrile convulsions examined using the FARP were positive for at least one virus. The trend of viruses in patients with KD and febrile convulsion reflected the regional epidemic viral infection. Respiratory virus detected at a much higher rate using the FARP suggests that most convulsions in patients with KD might be related to concomitant viral infection. The possible involvement and association of concomitant respiratory viral infections in patients with KD with prognosis or encephalopathy/encephalitis remain to be investigated.
The Zambezi deep-sea fan: mineralogical, REE, Zr/Hf, Nd-isotope, and zircon-age variability in feldspar-rich passive-margin turbidites
Authors: Garzanti Eduardo , Bayon Germain , Vermeesch Pieter , Barbarano Marta , Pastore Guido , Resentini Alberto , Dennielou Bernard , Jouet Gwenael
Published: November 2022

We here present the first comprehensive provenance study of the Zambezi deep-sea fan, based on integrated petrographic, heavy-mineral, elemental-geochemistry, isotope-geochemistry, and detrital-zircon-geochronology analyses of middle Pleistocene to Holocene turbidites. The Zambezi Valley and Fan represent the submarine part of an ∼ 5000-km-long sediment-routing system, extending from the heart of the South African Plateau to the abyssal depths of the Indian Ocean. Sediment is derived not only from the African side, but also from Madagascar Island mostly via the Tsiribihina Valley. Being shed by two dissected rifted margins, detritus supplied from opposite sides of the Mozambique Channel shares similar feldspar-rich feldspatho-quartzose composition, although with significant differences in heavy-mineral and geochemical signatures. The εNd values of Madagascar sand are markedly more negative and TNd model ages notably older. Zircon grains yield mostly Irumide (late Stenian) U-Pb ages in African-derived sand and mostly Pan-African (Ediacaran–Cryogenian) U-Pb ages in Madagascar-derived sand, which also yields a few grains as old as Paleoarchean and many discordant ages reflecting Pan-African reworking of Archean cratonic rocks. Lower Valley and Lower Fan deposits have intermediate fingerprints, indicating that sediment supply from Madagascar is not much less than from Africa despite a much smaller catchment area, which can be explained by deposition of a conspicuous part of Africa-derived sediment in the Intermediate Basin confined between the Zambezi Shelf, the Beira High, and the Îles Éparses.

By assuming that compositional differences between Quaternary submarine deposits and modern Zambezi River sands primarily resulted from sediment impoundment by large dams, we could evaluate the anthropogenic impact on natural sediment fluxes. Quaternary turbidites are somewhat higher in quartz and poorer in heavy minerals with higher relative amounts of durable ZTR species, and yield more Ediacaran, Neoarchean, and Carboniferous detrital-zircon ages than modern river sands. The Orosirian peak characterizing the Intermediate Basin sample points to prominent supply from the middle and upper parts of the Zambezi catchment in the middle Pleistocene. Rough calculations suggest that pre-dam Zambezi sediments were generated ≤ 10% in the upper catchment, ∼ 60% in the middle catchment, and only ≥ 30% in the lower catchment that provides the totality of sediment reaching the Indian Ocean today.
Provenance of middle to late Pleistocene tills in Illinois, U.S.A.: evidence for long-distance (∼ 2000 km) ice transport during two successive glaciations
Authors: Malone David H. , Grimley David A. , Gifford Jennifer N. , Colgan Patrick M. , Craddock John P. , Phillips Andrew C. , Meister Paul A. , Lowe Theodor H. , Rickels Ellyn S.
Published: November 2022

Zircons extracted from 567 granitic cobbles, in middle to late Pleistocene tills of the Lake Michigan Lobe in Illinois, provide a remarkably consistent Archean age of ∼ 2.7 Ga, with 87% dating between 2.6 and 2.8 Ga. This finding suggests a persistent glacial flow path of the southern Laurentide ice sheet from the Superior Province into the Lake Michigan basin during Marine Isotope Stage 6 (Illinois Episode) and Marine Isotope Stage 2 (Wisconsin Episode). Based on published crystalline bedrock ages in the Canadian Shield, these cobbles are interpreted to have been transported as much as ∼ 2000 km southwestward from the Quebec–Labrador ice dome, east of Hudson Bay, to the ice-sheet terminus in central to southern Illinois, USA. Some of the glacial flow likely skirted eastern Hudson Bay (source of Omar erratics) and southern James Bay, and traversed outcrops of Huronian jasper conglomerate and diamictite along the north shore of Lake Huron. Transport across the Paleozoic strata may have been enhanced, in part, by an ice stream that advanced across relatively soft and water-saturated sediments that underlie the Lake Michigan basin. The Lake Michigan basin, although present earlier in some form, was likely significantly eroded and overdeepened by accelerated glacial flow and erosion during MIS-6, further constraining the southern Laurentide Ice Sheet (LIS) flow path and influencing its subsequent flow during the last glaciation. As the Lake Michigan Lobe thinned and radiated out from the Lake Michigan basin, topographic effects led to separation of sublobes during the LIS advance to its southernmost extent.
An Asymptotic Analysis of the Gradient Remediability Problem for Disturbed Distributed Linear Systems
Authors: Rekkab Soraya , Benhadid Samir , Al-Saphory Raheam
Published: November 2022

The goal of this work is demonstrating, through the gradient observation of a   of type linear ( -systems), the possibility for reducing the effect of any disturbances (pollution, radiation, infection, etc.) asymptotically, by a suitable choice of related actuators of these systems. Thus, a class of  ( -system) was developed based on finite time  ( -system). Furthermore, definitions and some properties of this concept -system and asymptotically gradient controllable system ( -controllable) were stated and studied. More precisely, asymptotically gradient efficient actuators ensuring the weak asymptotically gradient compensation system ( -system) of known or unknown disturbances are examined. Consequently, under convenient hypothesis, the existence and the uniqueness of the control of type optimal, guaranteeing the asymptotically gradient compensation system ( -system), are shown and proven. Finally, an approach that leads to a Mathematical approximation algorithm is explored.
Electron lens Optimization for Beam Physics Research using the Integrated Optics Test Accelerator
Authors: Obaid Sura Allawi , Taha Jenan Hussein , Abdullah Siham
Published: November 2022

This study proposed control system that has been presented to control the electron lens resistance in order to obtain a stabilized electron lens power. This study will layout the fundamental challenges, hypothetical plan arrangements and development condition for the Integrable Optics Test Accelerator (IOTA) in progress at Fermilab. Thus, an effective automatic gain  control (AGC) unit has been introduced which prevents fluctuations in the internal resistance of the electronic lens caused by environmental influences to affect the system's current and power values ​​and keep them in stable amounts. Utilizing this unit has obtained level balanced out system un impacted with electronic lens surrounding natural varieties.
Short Text Semantic Similarity Measurement Approach Based on Semantic Network
Authors: Hameed Naamah Hussien , Alimi Adel M. , Sadiq Ahmed T.
Published: November 2022

Estimating the semantic similarity between short texts plays an increasingly prominent role in many fields related to text mining and natural language processing applications, especially with the large increase in the volume of textual data that is produced daily. Traditional approaches for calculating the degree of similarity between two texts, based on the words they share, do not perform well with short texts because two similar texts may be written in different terms by employing synonyms. As a result, short texts should be semantically compared. In this paper, a semantic similarity measurement method between texts is presented which combines knowledge-based and corpus-based semantic information to build a semantic network that represents the relationship between the compared texts and extracts the degree of similarity between them. Representing a text as a semantic network is the best knowledge representation that comes close to the human mind's understanding of the texts, where the semantic network reflects the sentence's semantic, syntactical, and structural knowledge. The network representation is a visual representation of knowledge objects, their qualities, and their relationships. WordNet lexical database has been used as a knowledge-based source while the GloVe pre-trained word embedding vectors have been used as a corpus-based source. The proposed method was tested using three different datasets, DSCS, SICK, and MOHLER datasets. A good result has been obtained in terms of RMSE and MAE.
Analysis of Fuel Burnup and Transmutations at High Burnup of Sodium Fast Breeder Reactor
Authors: Mohamed Nehal , Aziz Moustafa , El Ghazaly M. , Bashter Ibrahim
Published: November 2022

In this paper, the Monte Carlo N-Particle extended  computer code (MCNP) were used to design a model of the European Sodium-cooled Fast Reactor. The multiplication factor, conversion factor, delayed neutrons fraction, doppler constant, control rod worth, sodium void worth, masses for major heavy nuclei, radial and axial power distribution at high burnup are studied. The results show that the reactor breeds fissile isotopes with a conversion ratio of 0.994 at fuel burnup 70 (GWd/T), and minor actinides are buildup inside the reactor core. The study aims to check the efficiency of the model on the calculation of the neutronic parameters of the core at high burnup.
Evaluation of Some Antioxidants and Oxidative Stress Tests in Iraqi Lung Cancer Patients
Authors: Ascar Israa F. , Khaleel Fayhaa M. , Hameed Areej Sh. , Alabboodi Musaab Kadhim
Published: November 2022

Vitamin K-dependent protein (VKDP) contributes to the development of lung cancer. The purpose of this research was to better understanding of the role of blood matrix Gla protein (MGP), VKDPs, Malondialdehyde (MDA), Superoxide dismutase (SOD) and Vitamin K (Vit K) in Iraqi patients with lung cancer before and after the first cycle of chemotherapy. Blood samples were collected from Al amal National Hospital for cancer treatment from October 2021 to May 2022, and a total of 80 samples were collected, divided into two groups (40 patient before taking a chemotherapy and 40 patients after taking chemotherapy), ranging in age from 20 to 45 years old. The results showed that although there were highly statistically significant differences in MDA, VKDPS, SOD, and Vit K, there was no difference in MGP serum levels between the two groups (P = 0.05). The current study found a significant positive correlation between MGP and VK1 values.Correlations before and after treatment. Based on the results obtained, no role for the blood matrix protein Gla was observed in patients after and before treatment. Therefore, it cannot be considered a sign of patients' response to treatment. In addition, it was observed that lung cancer patients had lower levels of SOD enzyme, which indicates the effect of treatment on the disease, in which knowing the extent to which the body is responding or not responding to treatment.
Lorentz Microscopy of Optical Fields
Authors: Gaida John , Lourenço-Martins Hugo , Yalunin Sergey , Feist Armin , Sivis Murat , Hohage Thorsten , de Abajo Javier García , Ropers Claus
Published: November 2022

In electron microscopy, detailed insights into nanoscale optical properties of materials are gained by spontaneous inelastic scattering leading to electron-energy loss and cathodoluminescence. Stimulated scattering in the presence of external sample excitation allows for mode- and polarization-selective photon-induced near-ﬁeld electron microscopy (PINEM). This process imprints a spatial phase proﬁle inherited from the optical ﬁelds onto the wave function of the probing electrons. Here, we introduce Lorentz-PINEM for the full-ﬁeld, non-invasive imaging of complex optical near ﬁelds at high spatial resolution. We use energy-ﬁltered defocus phase-contrast imaging and iterative phase retrieval to reconstruct the phase distribution of interfering surface-bound modes on a plasmonic nanotip. Our approach is universally applicable to retrieve the spatial phase of nanoscale ﬁelds and topological modes.
Vertical Integrated Spiking Cone Photoreceptor Arrays for Color Perception
Authors: Wan Qing , Wang Xiangjing , Chen Chunsheng , Zhu Li , Shi Kailu , Peng Baocheng , Zhu Yixin , Mao Huiwu , Long Haotian , Ke Shuo , Fu Chuanyu , Zhu Ying , Wan Changjin
Published: November 2022

The cone photoreceptors in our eyes selectively transduce the natural light into spiking representations, which endows the brain with high energy-efficiency color vision. However, the cone-like device with color-selectivity and spike-encoding capability remains challenging. Here, we propose a vertical integrated spiking cone photoreceptor (VISCP) array with the structure of ITO/Ta2O5/Ag/IGZO/ITO, which can directly transduce persistent lights into spike trains at a certain rate according to the input wavelengths. The VISCPs have an ultralow power consumption of ≤400 pW per spike in visible light, which is very close to biological cones. In this work, lights with three wavelengths were exploited as pseudo three primary colors to form ‘colorful’ images for recognition tasks, and the device with the ability to discriminate mixed colors shows a better accuracy. Our results would enable hardware spiking neural networks with biologically plausible visual perception and provide great potential for the development of dynamic vision sensors.
The midbody and midbody remnant are assembly sites for RNA and active translation
Authors: Skop Ahna , Park Sungjin , Dahn Randall , Kurt Elif , Presle Adrien , VandenHeuvel Kathryn , Moravec Cara , Jambhekar Ashwini , Olukoga Olushola , Shepherd Jason , Echard Arnaud , Blower Michael
Published: November 2022

The midbody (MB) is a transient structure at the spindle midzone that is required for cytokinesis, the terminal stage of cell division. Long ignored as a vestigial remnant of cytokinesis, we now know MBs are released post-abscission as extracellular vesicles called MB remnants (MBRs) and can modulate cell proliferation, fate decisions, tissue polarity, neuronal architecture, and tumorigenic behavior. Here, we demonstrate that the MB matrix—the structurally amorphous MB core of unknown composition—is the site of ribonucleoprotein assembly and is enriched in mRNAs that encode proteins involved in cell fate, oncogenesis, and pluripotency, that we are calling the MB granule. Using a quantitative transcriptomic approach, we identified a population of mRNAs enriched in mitotic MBs and confirmed their presence in signaling MBR vesicles released by abscission. The MB granule is unique in that it is translationally active, contains both small and large ribosomal subunits, and has both membrane-less and membrane-bound states. Both MBs and post-abscission MBRs are sites of spatiotemporally regulated translation, which is initiated when nascent daughter cells re-enter G1 and continues after extracellular release. We demonstrate that the MB is the assembly site of an RNP granule. MKLP1 and ARC are necessary for the localization and translation of RNA in the MB dark zone, whereas ESCRT-III was necessary to maintain translation levels in the MB. Our data suggest a model in which the MB functions as a novel RNA-based organelle with a uniquely complex life cycle. We present a model in which the assembly and transfer of RNP complexes are central to post-mitotic MBR function and suggest the MBR serves as a novel mode of RNA-based intercellular communication with a defined biogenesis that is coupled to abscission, and inherently links cell division status with signaling capacity. To our knowledge, this is the first example of an autonomous extracellular vesicle with active translation activity.
Automatic Prediction Model of Overall Survivalin Prostate Cancer Patients with BoneMetastasis using Deep Neural Networks
Authors: Wang Zhongxiao , Xiong Tianyu , Jiang Mingxin , Cui Yun , Qian Xiaosong , Su Yao , Zhang Xiaolei , Xu Shiqi , Wen Dong , Dong Xianling , Yang Mingfu , Niu Yinong
Published: November 2022

Background: Bone was the most common site of metastasis in prostate cancer(PCa) patients and was correlated with poor prognosis and increasing economicalburden. Studies were limited on the prognostic prediction for metastatic PCapatients with the assistance of neural network.
Methods: Four convolutional neural network (CNN) models were developed andevaluated to predict overall survival (OS) of PCa patients with bone metastasis.All the CNN models were first trained with 64 samples and evaluated with 10samples, two models used only bone scan images and two models used both bonescan images and clinical parameters (CPs). Predictions of the best models werecompared with those of two urology surgeons on 20 test samples.
Results: Our best models could predict OS of PCa patients with bone metastasiswith AUC = 0.8022 by using only bone scan images and AUC = 0.8132 by usingboth bone scan image and CPs on 20 test samples. When the sensitivities(specificities) set equal to average level of urology surgeons, their specificities(sensitivities) were 0%(7.2%) and 30.77%(7.7%) higher, which showedsignificant advantages of CNN models.
Conclusion: The CNN models were suitable to predict OS in PCa patients withbone metastasis using bone scan images and CPs. Our models showed betterperformance in terms of accuracy and stability than urology surgeons.
Keywords: Bone Metastasis; Bone Scan; Convolutional Neural Network;Prostate Cancer; Overall Survival
Total Mercury Content in the Tissues of Freshwater Chelonium (Podocnemis Expansa) and a Human Health Risk Assessment for the Amazon Population in Brazil
Authors: Júnior Fábio Targino , Ribeiro Joanna Damazio de Nunes , Simões Julia Siqueira , Carneiro Carla Silva , Lazzarini Stella Maris , Souza Aline Ramos , Ferreira Micheli Silva , Mano Sérgio Borges , Esmerino Erick Almeida , Mársico Eliane Teixeira
Published: November 2022

Researchers are highly aware of the silent, negative effects caused by mercury pollution in gold mining areas. Freshwater turtles are culturally part of the diet of riverside populations in the Amazon region and this area presents mercury (Hg) pollution issues mainly due to gold mining activities. Thus, this research aimed to evaluate the total mercury (THg) content in the different organs of river turtles (P. expansa) and carry out a human health risk assessment associated with the consumption of these animals. Skin (n=28), muscle (n=19) and brain (n=2) samples were analyzed by Atomic Absorption Spectrometry (TDA-AAS) and a DMA-80™ mercury analyzer used for the total mercury determinations. The average values found for THg in the skin, muscle and brain samples were, respectively, 0.1045 mg.kg-1, 0.1092 mg.kg-1 and 0.0601mg.kg-1. Thus, THg was observed even though the P. expansa were kept in captivity, possibly due to previous contamination by air, water and food. The Hazard Quotient (HQ) was calculated considering a 9.07g.day-1 intake dose of P. expansa and the consumption of turtles once a week showed a HQ=2.45, which may cause long-term injuries to human health. Although the muscle concentrations were below the maximum limit established by the World Health Organization (WHO) and Brazilian regulatory agencies, it is important to evaluate consumption factors such as amount ingested, frequency and animal gender, which may cause a potential risk to regular consumers due to mercury bioaccumulation. The WHO may consider various aspects in order to warn the amazon population about the severity and silent hazard of this metal, especially due to the importance of this matrix in the region. This region urgently needs government actions to inhibit clandestine mining and to prevent future serious, chronic health problems of the entire population.
Asymptotic stability of a nonlinear energy harvester with mass disturbance undergoing Markovian jump
Authors: Dong Hao , Du Lin , Zhang Shuo , Sun Tongtong , Zhao Yunping , Deng Zichen
Published: November 2022

A new type of Brownian motion, stochastic mass, has received widespread attention and has had a significant impact on the dynamics of the systems with light mass and small volume. This paper investigates the asymptotic stability with probability one of a nonlinear energy harvester with mass disturbance undergoing Markovian jump. To simplify the mass disturbance, which is modeled as Gaussian white noise, an approximate non-dimensional system is established. Using the stochastic averaging method, the averaged stochastic differential equation of the amplitude in the approximate system is derived. With the linearization,we deduced the largest Lyapunov exponent of the linearized equation. Furthermore, the necessary and sufficient condition for asymptotic stability of the nonlinear energy harvester is proposed approximately by managing the largest Lyapunov exponent be negative. The effects of mass disturbance and Markovian jump on the asymptotic stability with probability one of the nonlinear energy harvester are analyzed. To verify the accuracy of the results, we calculate the displacements of the original system directly numerically. In addition, the stability regions of the nonlinear energy harvester with different transition matrixes and stochastic mass noise intensities are thoroughly studied.
Longitudinal Outcomes From a Clinical Evaluation of a Cognitive- Behavioral Intervention for Patients With Head and Neck Cancer
Authors: Thilges Sarah , Mumby Patricia , Sinacore James , Clark Joseph , Czerlanis Cheryl
Published: November 2022

Purpose: Sequelae of and therapies for head and neck cancers (HNC) are associated with physical and functional impairment as well as increased levels of psychological distress post-treatment. Given the impact of HNC and treatment on functioning (i.e. eating and talking), health-related quality of life (HRQOL) is a significant area of survivorship concern within this population. Although prior research indicates the incidence of anxiety and depression ranges from 15 - 50%; to date there is a paucity of research on specific psychosocial interventions related to HNC treatment and completed studies have been limited by infrequent use of a randomized design and provision of non-standardized psychosocial interventions. This study aimed to address these gaps and test the feasibility of a brief cognitive-behavioral intervention (CBI) to improve: (1) self-efficacy for coping with cancer, (2) depressive symptoms, (3) other psychological symptoms, and (4) HRQOL among patients with HNC.
Methods: In an effort to conduct a randomized clinical trial of those undergoing treatment for HNC, eighty-eight patients were assigned to receive either a standardized CBI or usual psychological care (N = 47 and 41, respectively) with a one year follow-up. The means of all variables for both groups, adjusted for baseline, were visually compared at 3, 6, and 12 months post treatment.
Results: As has been a challenge in other longitudinal HNC studies, a high degree of attrition occurred, with a loss of 35 patients from the CBI group and 29 from the usual care group. Despite the high attrition, analysis of existing data indicated that the effect of CBI was discernable among the patients who completed the course of the study. Of the 38 comparisons, 34 showed that the CBI group had the favorable outcome.
Implications for Cancer Survivors: The impact of HNC treatment can be particularly distressing as it often results in functional impairment and markedly changed activities of daily living among survivors. However, engaging in therapeutic methods to cope and manage distress during treatment can influence QOL and mood into the survivorship phase.
Inversion study on soil water content in Shendong mining area based on MODIS data
Authors: Fan Jiaqi , Hu Riwa , Zhou Ruiping
Published: November 2022

Context The construction of green mines and the development of green mining are a strong embodiment of the implementation of the scientific outlook on development and the construction of ecological civilization, and soil water content, as one of the important indicators of soil monitoring, is of great significance to mine ecological restoration.
Objectives By obtaining the spatio-temporal dynamic change data of vegetation coverage, surface temperature and soil water content in Shendong mining area in the past 15 years, this study analyzed the ecological restoration status of Shendong mining area in recent years, enriched the ecological restoration database of Shendong mining area, and provided theoretical basis for better development of green mining area in the next step.
Methods This paper selects Shendong mining area as the research object, analyzes the normalized vegetation index (NDVI) and the dynamic distribution characteristics of land surface temperature (LST) in the study area based on the MODIS data from 2006 to 2021,constructs the corresponding vegetation index-surface temperature characteristic space and calculates the temperature vegetation drought index, verifies the soil moisture data of field sampling points, and further analyzes the spatial distribution of soil water content in Shendong mining area combined with hot spot analysis.
Results The results showed that: (1) The annual average value of NDVI showed a growth trend during 2006~2021, with a range of 0.253016~0.374517, and the NDVI decreased by 8.27% in 2021 compared with 2019, to 0.343557. In terms of spatial distribution, the NDVI value of Shendong mining area was high in the middle and low on both sides. (2) Inverting the surface temperature results, it can be seen that the LST value in Shendong mining area showed a trend of first decreasing and then increasing, and reached the maximum surface temperature in recent years in 2021, which was 39.764234°C. (3) The TVDI value increased from 0.472038 in 2006 to 0.638168 in 2021, and grew slowly in 2006~2016, from 0.472038 in 2006 to 0.503971 in 2016; it was rapid growth in 2016~2021, with a growth rate of 26.63%.
A Novel Prognostic Model Based on Cuproptosis-Related Genes and Multi-Omics Analysis Predicts the Prognosis of Patients with Bladder Urothelial Carcinoma
Authors: Yuan Jianxu , Jiang Qing , Wang Jiawu , Hua Zhengzhao , Yu Shengjie
Published: November 2022

Cuproptosis is a special form of cell death. Bladder cancer, especially Bladder Urothelial Carcinoma (BLCA), is one of the ten most common cancer types in the world. So far, the potential role of cuproptosis in BLCA is unclear. In the present study, we systematically evaluated the copper poisoning mediated patterns of 509 BLCA samples based on 19 validated copper poisoning related genes (CRGs) using data downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Kaplan Meier method was used to analyze the overall survival rate (OS) of different risk groups. Gene Set Variation Analysis (GSVA) was used to study the functional differences between different cuproptosis clusters (CRG clusters). Single sample gene set enrichment analysis (ssGSEA) was used to explore the potential relationship between CRGclusters and immune status. We used GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis to study various cellular biochemical processes. Finally, we established a prognostic model to predict patients’ survival outcomes and to further analyze the correlation between the predictive characteristics of BLCA patients and various treatment response. In this study, we derived two CRGclusters and geneclusters, and also established a model to quantify the risk score of individual BLCA patients, which was found to be closely associated with various clinical characteristics and could precisely predict the prognosis of BLCA patients. We believe that through our study, quantitative analysis of cuproptosis mediated patterns in a single sample may help to improve our understanding of the multi-omics characteristics of BLCA and guide future treatment regimens.
Sufficient instance networks for computing support in graph databases
Authors: Vanetik Natalia , Vanetik Natalia
Published: November 2022

Because displaying connections within the data via a graph is natural and intuitive for humans, graph databases have grown in popularity. A graph database can be made up of multiple smaller graphs or a single huge graph. Finding statistically significant subgraphs (also known as graph patterns) in graph databases is referred to as graph mining. The search process within the graph database and a specified support measure to assess the statistical importance of these graph patterns make up this task’s two components. Finding occurrences of graph patterns in the database, which is a computationally intensive process, is necessary for this support measure, which is frequently difficult to compute. We concentrate on the scenario of a single graph database in this paper. We demonstrate, using the relationship between support measures and flows in networks of pattern instances established in prior work, that the network of pattern instances may be successfully pruned to contain just particular kinds of subgraphs for any suitable support measure. This strategy decreases the size of the instance network, which can lower the effort required to compute a support measure. We demonstrate that any legitimate support measures in graph databases can use this trimming.
EvoBA: An Evolution Strategy as a Strong Baseline for Black-Box Adversarial Attacks
Authors: Ilie Catalin-Andrei , Popescu Marius , Stefanescu Alin
Published: November 2022

Recent work has shown how easily white-box adversarial attacks can be applied to state-of-the-art image classifiers. However, real-life scenarios resemble more the black-box adversarial conditions, lacking transparency and usually imposing natural, hard constraints on the query budget.
It is usual for the black-box adversarial literature to assume that the attacker, while constrained by the number of model invocations and total image perturbation, has huge resources in terms of computation power and time. Therefore, most black-box adversarial attacks take a long time to run and require heavy computational processes. This makes it unfeasible for day-to-day computer vision systems developers to run continuous robustness checks against their models, by playing the attacker role and seeing when and how their model fails.
Therefore, we propose a class of black-box attacks based on simple evolutionary strategies: $\textbf{EvoBA}$, $\textbf{EvoBA-E}$, and $\textbf{EvoBA-ET}$. These are fast, query-efficient attacks, aiming to minimize the $L_0$ adversarial perturbations, and do not require any form of training.
We benchmark these attacks on the CIFAR-100 dataset and observe that they bear different trade-offs in terms of the count of queries required to fool the models and the $L_0$ adversarial distance. However, $\textbf{EvoBA}$ strikes out as being the fastest of the three, so we further focus on comparing it against well-known adversarial attacks. We also build and open-source \footnote{https://github.com/andreiilie1/BBAttacks} a tool that can be used to run quick robustness checks of generic computer vision classifier systems.
$\textbf{EvoBA}$ shows efficiency and efficacy through results that are in line with much more complex state-of-the-art black-box attacks such as $\textbf{AutoZOOM}$. It is more query-efficient than $\textbf{SimBA}$, a simple and powerful baseline black-box attack, and has a similar level of complexity. Therefore, we propose it both as a new strong baseline for black-box adversarial attacks and as a fast and general tool for gaining empirical insight into how robust image classifiers are with respect to $L_0$ adversarial perturbations.
There exist fast and reliable $L_2$ black-box attacks, such as $\textbf{SimBA}$, and $L_{\infty}$ black-box attacks, such as $\textbf{DeepSearch}$. We propose $\textbf{EvoBA}$ as a query-efficient $L_0$ black-box adversarial attack which, together with the aforementioned methods, can serve as a generic tool to assess the empirical robustness of image classifiers. The main advantages of such methods are that they run fast, are query-efficient, and can easily be integrated in image classifiers development pipelines.
While our attack minimises the $L_0$ adversarial perturbation, we also report $L_2$, and notice that we compare favorably to the state-of-the-art $L_2$ black-box attack, $\textbf{AutoZOOM}$, and of the $L_2$ strong baseline, $\textbf{SimBA}$.
Constitucionalismo abusivo e erosão democrática: Uma análise das proposições legislativas do presidente Bolsonaro no primeiro ano de seu mandato
Authors: Zanardine Lincoln Renato Vieira , Barboza Estefânia Maria de Queiroz
Published: November 2022

Diante de um contexto internacional de autoritarismo crescente e de democracias fragilizadas por ondas iliberais, a compreensão do fenômeno dentro do contexto brasileiro é importante para entender em que medida o projeto iliberal influenciou a atuação do Poder Executivo brasileiro no primeiro ano da gestão 2019-2022. Jair Bolsonaro, em diversas oportunidades, identificou-se como um outsider no que diz respeito às regras do jogo. Dessa forma, observando essa postura do presidente eleito, este artigo tem como objetivo analisar o primeiro ano da gestão Bolsonaro-Mourão no que diz respeito às propostas legislativas oriundas do Poder Executivo e em que medida elas flertam com o legalismo autoritário. A hipótese gira em torno do alto poder legislativo do chefe do Poder Executivo brasileiro, o que pode ser instrumento de transformação marcante na ordem jurídica, inovando o ordenamento jurídico. O objetivo foi analisar se essa força foi utilizada com intenções antiliberais de cunho autoritário pelo Poder Executivo no ano legislativo de 2019. A pesquisa centrou-se em quatro tipos de propostas legislativas do Poder Executivo, a saber: as Propostas de Emenda à Constituição (PECs), os Projetos de Lei Complementar (PLPs), as Medidas Provisórias (MPs) e os Projetos de Lei (PL). A escolha desse corpus se deu pelo papel significativo que esses tipos de propostas legislativas possuem em alterar a normatividade do sistema jurídico. A conclusão alcançada é de que o primeiro ano da gestão do presidente Bolsonaro não se utiliza de mecanismos explícitos de erosão constitucional, empregando, por seu turno, formas sutis de desestruturação da ordem democrática.
O combate à pobreza e as desigualdades sociais por meio do trabalho decente: a fundamentalidade da agenda 2030 da ONU
Authors: Meneguzzi Nelci Lurdes Gayeski , Malgarim Emmanuelle de Araujo , Censi Daniel Rubens
Published: November 2022

O artigo objetiva analisar a pertinência dos Objetivos de Desenvolvimento Sustentável (ODS) de números 1, 8 e 10 da Agenda 2030 da Organização das Nações Unidas (ONU), que pretende reduzir as desigualdades e a pobreza promovendo o trabalho decente como mecanismo de promover a justiça social e estimular o crescimento econômico. De forma específica, utilizando-se de pesquisa documental, bibliográfica e análise de relatórios e dados secundários, o estudo busca apresentar um cenário do debate acerca do trabalho decente, da desigualdade e da pobreza e a necessidade de se promover o acesso aos modos dignos de labor para mitigar a exclusão social e econômica, que se manifesta de forma latente em todo o planeta. Sugere-se o questionamento no sentido de se verificar se o labor em condições decentes é capaz de promover o crescimento econômico e reduzir a desigualdade social e a pobreza. Utilizou-se do método hipotético-dedutivo para destacar que é possível a inclusão social por meio de acesso à renda decorrente do trabalho. Ao final, revela-se que há latente necessidade de aplicação efetiva da Agenda 2030, chamando a atenção para o fato de que a geração de postos de trabalho decentes e dignos é fundamental de modo a corrigir injustiças e promover a igualdade e o desenvolvimento sustentável.
Synthesis and Characterization of Au@MnO2 Nanoparticles as Plasmon Enhanced Spectroscopy Substrates
Authors: Oliveira Gabriela , Neves Tatiana , Peixoto Linus , Landi Sandra , Archanjo Bráulio , Andrade Gustavo
Published: November 2022

The plasmonic properties of Au nanoparticles (AuNP), which allow the observation of enhanced spectroscopic effects, are strongly affected by the aggregation and precipitation caused by the strong interactions between nanoparticles. To avoid AuNP aggregation and precipitation, the present study proposes coating with MnO2, forming AuNP@MnO2 core-shell structures. The MnO2 layers presented 1-10 nm thickness so that highly surface-enhanced fluorescence was obtained with maximum intensity given by 5 nm thick MnO2. The decrease in Raman intensity could be controlled, despite the inherent reduction in surface-enhanced Raman scattering (SERS) intensity with increasing adsorbate-surface distance. The decrease in Raman intensity was compensated by increasing AuNP stability caused by the MnO2 shell.
Ratlarda Bendiocarb’ın Sebep Olduğu Testikular Toksisite Üzerine Vitamin C ve E’nin Koruyucu Rolü
Authors: BAŞPINAR SATICI Gizem , DİRİCAN Enver Kerem , KALENDER Yusuf
Published: November 2022

Bu çalışmada karbamatlı bir pestisit olan bendiocarb’ın (BND) ratların testis dokusunda oluşturabileceği
histopatolojik değişiklikler, antioksidan enzim aktiviteleri ve malondialdehit (MDA) miktarındaki değişimler üzerine Vit. C
ve E’nin koruyucu etkisi araştırılmıştır. Ratlar sekiz gruba ayrılmıştır; 1. grup: kontrol grubu, 2. grup: Vit. C (100 mg kg-1
gün-1
), 3. grup: Vit. E (100 mg kg-1 gün-1
), 4. grup: Vit. C+ E, 5. grup: BND (0.8 mg kg-1 gün-1
), 6. grup: BND+Vit. C, 7.
grup: BND +Vit. E ve 8. grup: BND +Vit. C+Vit. E muameleli grup. 28 gün boyunca yapılan uygulamadan sonra BND
muameleli grup kontrol grup ile karşılaştırıldığında ratların testis dokularında MDA miktarında artış gözlenirken, antioksidan
enzim aktivitelerinde [süperoksit dismutaz (SOD), katalaz (CAT), glutatyon-S-transferaz (GST), glutatyon peroksidaz
(GPx)] istatiksel olarak anlamlı bir azalma gözlenmiştir. BND +Vit. C, BND +Vit. E ve BND +Vit. C+E muameleli gruplar
BND muameleli grupla karşılaştırıldığında ratların testis dokularında MDA miktarında azalma gözlenirken, SOD, CAT, GST
ve GPx enzim aktivitelerinde istatiksel olarak anlamlı bir artış gözlenmiştir. Histopatolojik incemelerde ise ratların testis
dokusunda BND’ın sebep olduğu patolojik değişiklikleri vitamin C ve E’nin azalttığı tespit edilmiştir.
Long-term data reflect nitrogen pollution in Estonian rivers
Authors: Nõges Tiina , Vilbaste Sirje , McCarthy Mark J. , Tamm Marju , Nõges Peeter
Published: November 2022

We analysed long-term (1992–2020) changes in fertiliser use, wastewater treatment, and river water nutrient status in Estonia (N-E Europe) in the context of changing socio-economic situations and legislation. We hypothesised that improved regulation of fertiliser usage and wastewater treatment are reflected as declining riverine nutrient concentrations, with the largest relative improvements occurring in catchments with initially high proportions of point source loading. We analysed nutrient dynamics in 16 rivers differing by catchment land use, population and livestock densities. Data on fertiliser use and wastewater treatment originated from the Statistics Estonia database, and riverine nutrient concentrations from the State Environmental Monitoring Database. We clustered the rivers by their catchment properties and analysed trends in their nutrient status. Point source nutrient loading reductions explained most of the decline in riverine nutrient concentrations, whereas application of mineral fertilisers has increased, hindering efforts to reach water quality and nutrient load targets set by the EU Water Framework Directive and the Baltic Sea Action Plan. Highest nitrogen concentrations and strongest increasing trends were found in rivers within the Nitrate Vulnerable Zone, indicating violation of the EU Nitrates Directive. To comply with these directives, resource managers must address non-point source nutrient loading from river watersheds.