bluuebunny/crossref_metadata_2025 huggingface dataset:
Methods of Groundwater Recharge Estimation under Climate Change: A Review
Authors: Adhikari Riwaz Kumar , Yilmaz Abdullah Gokhan , Mainali Bandita , Dyson Phil , Imteaz Monzur Alam
Published: November 2022

Groundwater resources have deteriorated in many regions as a result of excessive use to satisfy increasing water demands. Furthermore, climate change has an influence on groundwater in terms of quality and quantity. An investigation of climate change impacts on quality and quantity of groundwater is vital for effective planning and sustainable management of groundwater resources. Despite of the importance of climate change impact studies on groundwater resources, climate change impact studies related to surface water resources have attracted more attention from the research community, leading to limited understanding of the groundwater and climate change relationship. In this paper, a systematic review of the latest literature related to the impact of climate change on groundwater recharge was carried out to provide guidance for future studies.
Urban Sprawl Simulation Mapping of Urmia (Iran) by Comparison of Cellular Automata–Markov Chain and Artificial Neural Network (ANN) Modeling Approach
Authors: Asadi Milad , Oshnooei-Nooshabadi Amir , Saleh Samira-Sadat , Habibnezhad Fattaneh , Sarafraz-Asbagh Sonia , Van Genderen John Lodewijk
Published: November 2022

Considering urbanization can lead to irreversible land transformations, it is crucial to provide city managers, environmental resources managers, and even people with accurate predicting land use/land cover (LULC) to accomplish sustainable development goals. Although many methods have been used to predict land use/land cover (LULC), few studies have compared them. Therefore, by analyzing the results of various prediction models and, consequently, recognizing the most accurate and reliable ones, we can assist city managers, environmental resources managers, and researchers.. In this regard, this research compares Cellular Automata–Markov Chain and Artificial Neural Network (ANN) as frequently used models to overcome this gap and help those concerned about sustainable development to predict urban sprawl with the most reliable accuracy. In the first step, Landsat satellite images acquired in 2000, 2010, and 2020 were classified with Maximum Likelihood Classification (MLC), and LULC maps were prepared for each year. In the second step, to investigate the LULC prediction, validation of the CA–Markov and ANN methods was performed. In this way, the LULC simulation map of 2020 was prepared based on the LULC map of 2000 and 2010; next, the predicted LULC map of 2020 and the actual LULC map for 2020 were compared using correctness, completeness, and quality indices. Finally, the LULC map for 2030 was generated using both algorithms, and the corresponding change map was extracted, showing a reduction in soil and vegetation areas (respectively, 39% and 12%) and an expansion (58%) in built-up regions. Moreover, the validation test of the methods showed that the two algorithms were closer to each other; however, ANN had the highest completeness (96.21%) and quality (93.8%), while CA–Markov had the most correctness (96.47%). This study showed that the CA–Markov algorithm is more accurate in predicting the future of larger areas with higher allocations (urban and vegetation cover) while the ANN algorithm is more accurate in predicting the future of small areas with fewer allocations (soil and rock).
PeerAmbush: Multi-Layer Perceptron to Detect Peer-to-Peer Botnet
Authors: Kabla Arkan Hammoodi Hasan , Thamrin Achmad Husni , Anbar Mohammed , Manickam Selvakumar , Karuppayah Shankar
Published: November 2022

Due to emerging internet technologies that mostly depend on the decentralization concept, such as cryptocurrencies, cyber attackers also use the decentralization concept to develop P2P botnets. P2P botnets are considered one of the most serious and challenging threats to internet infrastructure security. Consequently, several open issues still need to be addressed, such as improving botnet intrusion detection systems, because botnet detection is essentially a confrontational problem. This paper presents PeerAmbush, a novel approach for detecting P2P botnets using, for the first time, one of the most effective deep learning techniques, which is the Multi-Layer Perceptron, with certain parameter settings to detect this type of botnet, unlike most current research, which is entirely based on machine learning techniques. The reason for employing machine learning/deep learning techniques, besides data analysis, is because the bots under the same botnet have a symmetrical behavior, and that makes them recognizable compared to benign network traffic. The PeerAmbush also takes the challenge of detecting P2P botnets with fewer selected features compared to the existing related works by proposing a novel feature engineering method based on Best First Union (BFU). The proposed approach showed considerable results, with a very high detection accuracy of 99.9%, with no FPR. The experimental results showed that PeerAmbush is a promising approach, and we look forward to building on it to develop better security defenses.
Infinitely Many Solutions for the Fractional p&q-Laplacian Problems in RN
Authors: Wang Liyan , Chi Kun , Shen Jihong , Ge Bin
Published: November 2022

In this paper, we consider the following class of the fractional p&q-Laplacian problem: (−Δ)psu+(−Δ)qsu+V(x)(|u|p−2u+|u|q−2u)+g(x)|u|r−2u=K(x)f(x,u)+h(u),x∈RN,V:RN→R+ is a potential function, and h:R→R is a perturbation term. We studied two cases: if f(x,u) is sublinear, by means of Clark’s theorem, which considers the symmetric condition about the functional, we get infinitely many solutions; if f(x,u) is superlinear, using the symmetric mountain-pass theorem, infinitely many solutions can be obtained.
New Formulation to Synthetize Semiconductor Bi2S3 Thin Films Using Chemical Bath Deposition for Optoelectronic Applications
Authors: Carrillo-Castillo Amanda , Rivas-Valles Brayan , Castillo Santos , Ramirez Marcela , Luque-Morales Priscy
Published: November 2022

Anisotropic materials possess direction dependent properties as a result of symmetry within their structure. Bismuth sulfide (Bi2S3) is an important semiconductor exhibiting anisotropy due to its crystalline and stratified structure. In this manuscript we present a new and straightforward procedure to deposit Bi2S3 thin films on soda lime glass substrates by the chemical bath deposition (CBD) technique. We studied two fundamental parameters, the time to deposit a single layer and the total number of layers deposited. The single layer deposition time was varied between 70 and 100 min and samples were coated with a total of 1, 2, or 3 layers. It is important to note that a fresh aqueous solution was used for every layer. Visible and near infra-red spectroscopy, scanning electron microscopy, X-ray photoelectrons spectroscopy, and X-ray diffraction were the characterization techniques used to study the resulting films. The calculated band gap values were found to be between 1.56 and 2.1 eV. The resulting Bi2S3 deposited films with the new formulation showed uniform morphology and orthorhombic crystalline structure with an average crystallite size of 19 nm. The thickness of the films varied from 190 to 600 nm in direct correlation to the deposition time and in agreement with the number of layers. The XPS results showed the characteristic bismuth doublet centered around 164.11 and 158.8 eV corresponding with the presence of Bi2S3. The symmetry within the Bi2S3 structure makes it a strong anisotropic crystal with potential applications in optoelectronic and photovoltaic devices, catalysis, and photoconductors among others.
Collisions of Electrons with Alkali, Alkaline and Complex Atoms Relevant to Solar and Stellar Atmospheres
Authors: Derouich Moncef , Qutub Saleh , Mustajab Fainana , Ahmad Badruddin Zaheer
Published: November 2022

In solar and stellar atmospheres, atomic excitation by impact with electrons plays an important role in the formation of spectral lines. We make use of available experimental and theoretical cross-sections to calculate the excitation rates in s–p transitions of alkali and alkaline atoms through collisions with electrons. Then, we infer a general formula for calculating the excitation rates by using genetic programming numerical methods. We propose an extension of our approach to deduce collisional excitation rates for complex atoms and atoms with hyperfine structure. Furthermore, the developed method is also applied to determine collisional polarization transfer rates. Our results are not specific to a given atom and can be applied to any s–p atomic transition. The accuracy of our results is discussed.
Scalar Particles around a Rindler–Schwarzschild Wormhole
Authors: Muniz C. R. , Christiansen H. R. , Cunha M. S. , Furtado J. , Bezerra V. B.
Published: November 2022

In this paper, we study quantum relativistic features of a scalar field around the Rindler–Schwarzschild wormhole. First, we introduce this new class of spacetime, investigating some energy conditions and verifying their violation in a region nearby the wormhole throat, which means that the object must have an exotic energy in order to prevent its collapse. Then, we study the behavior of the massless scalar field in this spacetime and compute the effective potential by means of tortoise coordinates. We show that such a potential is attractive close to the throat and that it is traversable via quantum tunneling by massive particles with sufficiently low energies. The solution of the Klein–Gordon equation is obtained subsequently, showing that the energy spectrum of the field is subject to a constraint, which induces a decreasing oscillatory behavior. By imposing Dirichlet boundary conditions on a spherical shell in the neighborhood of the throat we can determine the particle energy levels, and we use this spectrum to calculate the quantum revival of the eigenstates. Finally, we compute the Casimir energy associated with the massless scalar field at zero temperature. We perform this calculation by means of the sum of the modes method. The zero-point energy is regularized using the Epstein–Hurwitz zeta-function. We also obtain an analytical expression for the Casimir force acting on the shell.
How Interest in Phages Has Bloomed into a Leading Medical Research Activity in Poland
Authors: Żaczek Maciej , Górski Andrzej , Grzybowski Andrzej , Pasternak Edyta , Weber-Dąbrowska Beata , Międzybrodzki Ryszard
Published: November 2022

Poland has a leading position in phage therapy, as reflected by the number of patients treated and relevant publications in quality journals. The Institute of Immunology and Experimental Therapy of the Polish Academy of Sciences was established by Ludwik Hirszfeld, a prominent microbiologist and serologist who also initiated studies on phages and pioneered the activities that set into motion phage therapy at the Institute. To achieve this goal, Hirszfeld had to overcome many difficulties in a post-war Poland. He died a month before the official start of the Institute’s activity and was not able to witness the advancement of the Institute bearing his name. However, his hard work and dedication have been recently rewarded. In a recent evaluation of scientific performance, the Institute received the highest ranking in medical sciences among all universities and research institutions in Poland. One could consider it a posthumous tribute to the memory of L. Hirszfeld, being well-deserved on the grounds of the Institute’s achievements (especially in the field of phage therapy) as well as his life and work.
Detection of Crimean-Congo Hemorrhagic Fever Virus Antibodies in Cattle in Plateau State, Nigeria
Authors: Dzikwi-Emennaa Asabe A. , Meseko Clement , Emennaa Paulinus , Adeyinka Adedeji J. , Adamu Andrew M. , Adegboye Oyelola A.
Published: November 2022

Crimean-Congo hemorrhagic fever (CCHF) is a vector-borne viral hemorrhagic disease with global clinical significance. Certain species of ticks are vectors of CCHF, which can be transmitted from animals to humans and humans to humans by direct exposure to blood or other body fluids. The zoonotic transmission at the human–animal interface from viremic animal hosts to humans is a public health concern with a paucity of data in Nigeria. Samples from 184 pastoral cattle from three local government areas (LGAs) of Plateau state, Nigeria, were screened for CCHF virus using a commercial enzyme-linked immunosorbent assay (ID Screen® CCHF Double Antigen for Multi-Species). Overall seropositivity of 30.4% (n = 56) (95% CI: 23.88%, 37.63%) was recorded from the study areas in Plateau State, while 48/126 (38.1%, 95% CI: 29.59%, 47.17%) sampled cows tested positive for CCHFV antibodies. Seropositivity was significantly higher (p < 0.001) among older cattle greater than two years, 54.69% (95% CI: 2.88%, 11.24%) compared to cattle younger than two years, 17.5% (95% CI: 11.17%, 25.50%). The location of farms played a significant role in the seropositivity of CCHF with the least risk observed in Wase LGA. CCHF is an important zoonotic disease in different parts of the globe with a high risk of transmission to pastoralists, livestock keepers/slaughterhouse workers, and veterinarians who handle animals. There is a need for a collaborative one-health approach with various stakeholders to unravel the dynamics of CCHFV epidemiology in Nigeria.
Healthcare Practitioners Knowledge of Shoulder Injury Related to Vaccine Administration (SIRVA)
Authors: Mackenzie Laura Jane , Bousie Jaquelin Anne , Newman Phillip , Waghorn Janique , Cunningham John Edward , Bushell Mary-Jessimine Ann
Published: November 2022

Background: Vaccine pharmacovigilance is at the forefront of the public eye. Shoulder Injuries Related to Vaccine Administration (SIRVA) is a poorly understood Adverse Event Following Immunisation, with iatrogenic origins. Criteria for medicolegal diagnosis of SIRVA is conflicting, current literature and educational materials are lacking, and healthcare practitioner knowledge of the condition is unknown. Methods: A cross-sectional, convenience sampled survey, utilising a validated online questionnaire assessed practitioner knowledge of SIRVA, safe injecting, and upper limb anatomy, and preferred definition for SIRVA. Results: Mean scores were moderate for safe injecting knowledge (69%), and poor for knowledge of anatomy (42%) and SIRVA (55%). Non-immunising healthcare practitioners scored significantly (p = 0.01, and < 0.05, respectively) higher than immunising practitioners for anatomy (2.213 ± 1.52 vs. 3.12 ± 1.50), and safe injecting knowledge (6.70 ± 1.34 vs. 7.14 ± 1.27). Only 52% of authorised vaccinators accurately selected a 40 × 20 mm area recommended for safe injecting. Majority (91.7%) of respondents thought nerve injuries should be included in the diagnostic criteria for SIRVA. Discussion and conclusions: Greater education and awareness of SIRVA is needed in all healthcare disciplines. Consensus regarding SIRVA definition is paramount for accurate reporting and improved future understanding of all aspects of SIRVA.
Disruption of the NKG2A:HLA-E Immune Checkpoint Axis to Enhance NK Cell Activation against Cancer
Authors: Fisher Jack , Doyle Amber , Graham Lara , Khakoo Salim , Blunt Matthew
Published: November 2022

Ligation of the inhibitory receptor NKG2A by its ligand HLA-E negatively regulates the activation of natural killer (NK) cells, as well as subsets of CD8+ T cells and innate T cell populations. NKG2A has recently become a novel immune checkpoint target for the treatment of cancer and direct antibody mediated blockade of NKG2A function is currently under assessment in two phase 3 clinical trials. In addition to direct targeting, the NKG2A:HLA-E axis can also be disrupted indirectly via multiple different targeted cancer agents that were not previously recognised to possess immunomodulatory properties. Increased understanding of immune cell modulation by targeted cancer therapies will allow for the design of rational and more efficacious drug combination strategies to improve cancer patient outcomes. In this review, we summarise and discuss the various strategies currently in development which either directly or indirectly disrupt the NKG2A:HLA-E interaction to enhance NK cell activation against cancer.
A Quantum Vaccinomics Approach for the Design and Production of MSP4 Chimeric Antigen for the Control of Anaplasma phagocytophilum Infections
Authors: de la Fuente José , Moraga-Fernández Alberto , Alberdi Pilar , Díaz-Sánchez Sandra , García-Álvarez Olga , Fernández-Melgar Rubén , Contreras Marinela
Published: November 2022

Anaplasma phagocytophilum Major surface protein 4 (MSP4) plays a role during infection and multiplication in host neutrophils and tick vector cells. Recently, vaccination trials with the A. phagocytophilum antigen MSP4 in sheep showed only partial protection against pathogen infection. However, in rabbits immunized with MSP4, this recombinant antigen was protective. Differences between rabbit and sheep antibody responses are probably associated with the recognition of non-protective epitopes by IgG of immunized lambs. To address this question, we applied quantum vaccinomics to identify and characterize MSP4 protective epitopes by a microarray epitope mapping using sera from vaccinated rabbits and sheep. The identified candidate protective epitopes or immunological quantum were used for the design and production of a chimeric protective antigen. Inhibition assays of A. phagocytophilum infection in human HL60 and Ixodes scapularis tick ISE6 cells evidenced protection by IgG from sheep and rabbits immunized with the chimeric antigen. These results supported that the design of new chimeric candidate protective antigens using quantum vaccinomics to improve the protective capacity of antigens in multiple hosts.
Evaluation of Immunogenicity and Clinical Protection of SARS-CoV-2 S1 and N Antigens in Syrian Golden Hamster
Authors: Niu Zhenye , Li Xueqi , Gao Yang , Wang Lichun , Fan Shengtao , Xu Xingli , Jiang Guorun , Cui Pingfang , Li Dandan , Liao Yun , Yu Li , Zhao Heng , Zhang Ying , Li Qihan
Published: November 2022

The novel coronavirus (SARS-CoV-2) epidemic continues to be a global public crisis affecting human health. Many research groups are developing different types of vaccines to suppress the spread of SARS-CoV-2, and some vaccines have entered phase III clinical trials and have been rapidly implemented. Whether multiple antigen matches are necessary to induce a better immune response remains unclear. To address this question, this study tested the immunogenicity and protective effects of a SARS-CoV-2 recombinant S and N peptide vaccine in the Syrian golden hamster model. This experiment was based on two immunization methods: intradermal and intramuscular administration. Immunized hamsters were challenged with live SARS-CoV-2 14 days after booster immunization. Clinical symptoms were observed daily, and the antibody titer and viral load in each tissue were detected. The results showed that immunization of golden hamsters with the SARS-CoV-2 structural protein S alone or in combination with the N protein through different routes induced antibody responses, whereas immunization with the N protein alone did not. However, although the immunized hamsters exhibited partial alleviation of clinical symptoms when challenged with the virus, neither vaccine effectively inhibited the proliferation and replication of the challenging virus. In addition, the pathological damage in the immunized hamsters was similar to that in the control hamsters. Interestingly, the neutralizing antibody levels of all groups including immunized and nonimmunized animals increased significantly after viral challenge. In conclusion, the immune response induced by the experimental S and N polypeptide vaccines had no significant ability to prevent viral infection and pathogenicity in golden hamsters.
Self-Sustaining Landslide Mitigation Strategy through Long-Term Monitoring
Authors: Catelan Filippo Tommaso , Bossi Giulia , Marcato Gianluca
Published: November 2022

In mountain areas, anthropic pressure is growing while, concurrently, landslide frequency in most of the mountain regions of the world is increasing due to a more extreme precipitation pattern and permafrost deglaciation. Because of budget constraints, the need to investigate innovative and low-cost countermeasures for landslide risk is becoming more and more pressing. In this context, the Passo della Morte area (North-East Italy) is a perfect benchmark case. It comprises an extensive, long-term database of monitoring data that allows for testing hypotheses and validating them. Based on this data, a strong correlation between the velocity of a displacement of a landslide and the discharge of the Rio Verde stream was found. According to this evidence, local authorities have started the construction of a completely innovative mitigation strategy. It is focused on the triggering factor by identifying a significant component of the flow rate of the stream that cuts through the landslide. In addition, aiming to reduce the cost of construction and maintenance, this mitigation strategy is coupled with a micro-hydropower plant that can provide economic revenue by exploiting the discharge itself to produce electricity. Considering the active monitoring system that will be used to verify the effectiveness of the countermeasure, the Passo della Morte case study could become a starting point for implementing this pioneering and low-cost mitigation solution in similar morphologies.
Construction of Highly Efficient Zn0.4Cd0.6S and Cobalt Antimony Oxide Heterojunction Composites for Visible-Light-Driven Photocatalytic Hydrogen Evolution and Pollutant Degradation
Authors: Chen Chen , Zhang Xiao , Cheng Ting , Wen Mingyue , Tian Yuan , Hou Baoxuan
Published: November 2022

Photocatalytic technology could effectively degrade pollutants and release hydrogen. Herein, novel composite materials of Zn0.4Cd0.6S (ZCS) and cobalt antimony oxide (CSO) with different proportions were successfully synthesized through a hydrothermal reaction process. It was proved via various characterization analyses that abundant nano ZCS particles (about 100 nm) were closely coated on the surface of larger CSO particles in the composite photocatalysts, and the heterojunction structure was formed. The synthesized materials could be used as highly efficient photocatalysts to boost the photocatalytic hydrogen evolution and degradation of methylene blue (MB) in visible light. The composite photocatalysts displayed favorable stability, and the optimal proportion was ZCS/1CSO. In addition, the composite materials exhibited a wider absorption range for visible light, and the apparent hydrogen production rate was about 3.087 mmol·g−1·h−1. Meanwhile, compared with single materials, the composite photocatalyst obtained higher photocurrent response and lower electrochemical impedance through conducting photo-electrochemical experiments and analysis. Moreover, all of the photo-generated electrons, superoxide radicals, photo-generated holes, and hydroxyl radicals were proved to contribute the MB photodegradation and hydrogen evolution, and the former two active species played more vital roles. Furthermore, the effective separation of photo-generated electrons and holes through the n-type of ZCS and p-type of CSO heterojunction structure accelerated the improvement of photocatalytic abilities for composite materials. The photo-generated electrons concentrated in the conduction band of ZCS might be helpful for the improvement of hydrogen evolution abilities of composite photocatalysts. This work not only provides a novel strategy towards high-efficiency composite photocatalysts through constructing heterojunction assisted with hydrothermal reaction, but also demonstrates the possibility of utilizing binary composites for enhanced hydrogen evolution reaction and pollutant degradation.
Analysis of Active Suspension Control Based on Improved Fuzzy Neural Network PID
Authors: Li Mei , Li Jiapeng , Li Guisheng , Xu Jie
Published: November 2022

To improve the comfort and smoothness of vehicle driving and reduce the vehicle vibration caused by uneven road surface. In this paper, a new active suspension control strategy is pro-posed by combining a fuzzy neural network and a proportional-integral-derivative (PID) controller, taking body acceleration as the main optimization target and adjusting the parameters of the PID controller in real time. Meanwhile, a fuzzy neural network parameter optimization algorithm combining a particle swarm optimization algorithm and gradient descent method is proposed to realize offline optimization and online fine-tuning of fuzzy neural network parameters. Finally, the active suspension model of a 2-degree-of-freedom 1/4 vehicle is established using MATLAB/Simulink, and the proposed control scheme is verified through simulation studies. The results show that the active suspension system with a particle swarm-optimized fuzzy neural network control method improves the spring mass acceleration, dynamic deflection of suspension, and dynamic tire deformation by 30.4%, 17.8%, and 15.5%, respectively, compared with the passive suspension. In addition, there are also 14.6%, 12.1%, and 11.2% performance improvements, respectively, compared to the PID-controlled active suspension system. These results indicate that the control strategy proposed in this paper can improve the vehicle driving performance and can support the design and development of active suspension systems.
Le Mémorial ACTe (Guadeloupe) : « Quai Branly de Guadeloupe, Louvre des Antilles-Guyane, Gorée des Amériques ! »
Authors: Moomou Jean
Published: November 2022

The aim of the article will be to consider an ultra-contemporary event : the advent of the "MémorialACTe" building in Guadeloupe. Itwas inaugurated in Pointe-à-Pitre, on May 10th, 2015. As the result of a long process of political and remembrance claims (1948-2015), this Caribbean center of expressions brings the Slave Trade full history to public knowledge. The Mémorial ACTe also supports the reappropriation of this history to the descendants of Guadeloupe slaves. For the sake of assimilation to French culture this period had, indeed, been "forgotten" and even silenced (1848-1946). The various speeches pronounced at the inauguration and the various collections will be analyzed, as well as the uniqueness of the building as a commemorative site. Identity and political stakes will also be examined.
Newborn and child growth and development – a systematic review
Authors: Hantmann Stefanie de Britto , Reis Ana Karuliny de Cassia dos , Santos Bruna de Oliveira dos , Sassi Carolina Vanini , Batista Gabrieli Justino , Cardoso Giovanna Victoria Valentim , Selski Sophia Bortolan , Oliveira Luciane Bittencourt Carias de , Bettega Silvio Gomes , Júnior Ayrton Alves Aranha , Veronez Djanira Aparecida da Luz
Published: November 2022

Throughout human history, the morphological aspects of the child have been viewed in different ways by different cultures, and many researchers did not believe in their uniqueness and saw them as "mini adults". As a consequence, there was a neglect of the morphological peculiarities of the child. All this contributed to the fact that the number of studies on morphofunctional growth and development was scarce, so that professionals such as physiotherapists, speech therapists, pediatricians, nurses, among other professionals had insufficient material for consultation. In this sense, an analysis of the factors responsible for the growth and development of the newborn and the child was developed. For this, a systematic review was developed from the survey of morphological and functional data of the newborn and the child.
Fratura exposta de clavícula: Relato de caso
Authors: Dias Sandro de Mattos , Reckers Leandro José , Bohn Daniel , Heiden Carolina Iganci , Ribeiro Cristina Dutra , Echeverria Murilo Silva , Corrêa Luize da Porciúncula , Rocha Augusto Scott da
Published: November 2022

Fraturas expostas de clavícula são raras e pouco relatadas na literatura, e quando ocorrem são comumente o resultado de um trauma de alta energia. O presente caso apresenta uma fratura exposta de clavícula, no terço médio, decorrente de trauma automobilístico. Primeiro foi obtida estabilização com fixador externo de Colles e posteriormente tratamento definitivo com fixação interna com placa de compressão dinâmica e parafusos. Após 3 meses de fixação interna a fratura se consolidou com excelente resultado clínico do paciente.
A eficácia da contração excêntrica como intervenção fisioterapêutica da tendinopatia patelar em atletas de alto rendimento do voleibol
Authors: Correa Jaqueline Nogueira , Dos Santos Fabrícia Costa , Sousa Laizy Rilary de Jesus , De Albuquerque Amanda Cynara Araújo , Rodrigues Jeronice de Souza
Published: November 2022

Introdução: A Tendinopatia Patelar (TP) é uma patologia causada por microtraumas repetitivos ao tendão patelar, ocasionando principalmente dor a palpação, tal aspecto tem relação direta no padrão de movimento que gera mais carga ao tendão. Essa patologia geralmente é relacionada aos atletas de salto, no qual os profissionais do voleibol possuem maior prevalência para o desenvolvimento da TP, onde os mais acometidos são os atletas abaixo de 30 anos do sexo masculino. Muitas intervenções fisioterapêuticas estão sendo pesquisadas como tratamento da patologia, o exercício excêntrico é um dos principais métodos implementados, por executar a contração muscular enquanto o músculo alonga-se produzindo maior resistência e força. Objetivo: Determinar a eficácia da contração excêntrica como tratamento adequado para atletas de alto rendimento do voleibol. Metodologia: Trata-se de um estudo de revisão de literatura hipotético-dedutivo objetivo-descritivo, no qual a pesquisa foi realizada através das bases de dados PubMed (National Library of Medicine), PEDro (Physiotherapy Evidence Database) e Scielo (Scientific Electronic Library Online) com artigos datados dos últimos 10 anos, de estudo de caso, estudo experimental, estudo randomizado e de revisão sistemática. Resultados: Foram analisados 11 artigos que estavam de acordo com os critérios de inclusão, somente um artigo foi de estudo estudo de caso que resultou em melhora dos sintomas e da ecogenicidade do tendão; em dois estudos de revisão sistemática exibiram respostas positivas referentes a funcionalidade e diminuição da dor; em três estudos randomizados obtiveram desfechos benéficos em relação a potência, força e produção de energia; e dos cinco artigos com abordagem experimental a maioria exibiu scores significativos em relação a produção de força, hipertrofia e potência muscular. Considerações Finais: A contração excêntrica apresentou resultados favoráveis a longo prazo em relação a hipertrofia, produção de força, potência, diminuição da algia e melhorando a funcionalidade, contribuindo para o retorno do esporte, indicando grande importância para os jogadores de voleibol de alto rendimento.
Sistema para identificação e monitoramento de estudantes em risco de evasão
Authors: Nóbrega Baldoino Sonildo da , Maia Joab da Silva , Filho Marcelo A. Silva , Júnior Edivan Enéas A. , Alves Moabe Barbosa
Published: November 2022

A evasão escolar tem causado prejuízos financeiros, sociais e culturais. Em relação ao ensino superior, no Brasil, foi identificado na última década que 59% dos alunos desistiram do seu curso de ingresso. As altas taxas de abandono no ensino superior retardam o desenvolvimento do país, o qual necessita de pessoas qualificadas para evoluir em educação, pesquisa, inovação e tecnologia. Diante disto, as instituições de ensino superior necessitam de mecanismos que possam acompanhar o risco de evasão dos seus alunos, para em seguida traçar estratégias de combate a esse fenômeno. Dessa forma, o objetivo desse trabalho foi desenvolver um sistema para detecção e monitoramento de alunos em risco de evasão. A pesquisa foi realizada em parceria com uma instituição de ensino pública, a partir dos dados acadêmicos e socioeconômicos dos estudantes de graduação. Através de métodos estatísticos, foi realizada a seleção e classificação das variáveis que poderiam ser consideradas relevantes para o estudo da evasão e em seguida, foram analisados os resultados dos melhores modelos de aprendizado de máquina para esses dados. Dos vários modelos avaliados, o XGBoost (Extreme Gradient Boosting) foi o que melhor se adaptou aos dados com boas métricas, eficiência, calibrado e com recall próximo de 0,85. A pesquisa trouxe contribuições relevantes para a instituição analisada ao disponibilizar uma plataforma para acompanhar período a período os alunos com risco de abandono do curso. Também foi identificado que a maior proporção da evasão está ocorrendo nos períodos iniciais, entre estudantes com CRE muito baixo, alta reprovação por falta e com idade elevada.
Competências gerenciais do enfermeiro da comissão de controle de infecção hospitalar: uma revisão da literatura
Authors: Vasconcelos Marcela Klyviann Bezerra de , Cavalcanti Mateus Demetrius , França Patrícia Cristina Galvão de , Catena Andriu dos Santos
Published: November 2022

As Comissões de Infecção Hospitalar são reconhecido como espaços importantes para a diminuição e controle das doenças considerada nosocomial, que trazem maior índice de mortalidade e aumento no tempo de internação. Nesses cenários que os profissionais enfermeiros aparecem como gestores em potencial nos processos de educação permanente, e gestão de pessoas. O presente estudo teve como objetivo identificar e mapear acerca da gestão e competências dos profissionais enfermeiros nas Comissões de Infecção Hospitalar. O método utilizado foi a revisão integrativa, realizada nos meses de julho a outubro de 2020, mediante busca de estudos em bases de dados, revistas, catálogos de teses e dissertações nacionais e internacionais, além de sites de instituições brasileiras de saúde. Incluem-se pesquisas publicadas na íntegra na língua portuguesa, espanhola ou inglesa; que tinham como objeto de estudo a temática investigada, além de manuais e protocolos. Como resultados foram encontrados 16 artigos que corresponderam ao escopo da pesquisa, identificou-se que o profissional enfermeiro é solicitado principalmente no que diz respeito ao processo de educação continuada nas instituições hospitalares. Foi possível identificar que o perfil gerencial que é discutido desde a formação profissional tem impacto positivo quando os enfermeiros ocupam esses espaços.
Aplicação de pavimento flexível – estudo de caso da recuperação do sistema viário no município de Urucará/Amazonas
Authors: Souza Rodrigo de Azevedo , Santana Sabrina da Silva , Pinheiro Érika Cristina Nogueira Marques
Published: November 2022

A engenharia civil acerca da pavimentação está presente desde a época da formação da sociedade egípcia e romana. Os avanços e surgimento de sistemas construtivos permitiram a formalização dos serviços e aprimoramento das técnicas, permitindo a aplicação de diferentes tipos de pavimentação, como rígidos, semi-rígidos e flexíveis. Os pavimentos flexíveis, dessa forma, são caracterizados pelo concreto asfáltico, considerado eficaz na conservação tanto de veículos quanto de vias em si, minimizando os custos com manutenção. Assim, este artigo refere-se a um Estudo de Caso a fim de mostrar a recuperação do sistema viário localizado no município de Urucará, no estado do Amazonas. Foi observada a importância e os impactos que a obra trouxe para o município, devolvendo a identidade e segurança da população.
Pancreatite Aguda: aspectos clínicos e manejo terapêutico
Authors: Kaneko Priscilla Carolina da Silva Cerutti Takahashi , Ferraz Elena Pereira , Vieira Érika Aparecida Oliveira , Albuquerque Úrsula Vizzoni de , Retamero Taís Mansur , Andrade Verônica Chagas de , Santos Vitor Cardoso dos
Published: November 2022

A pancreatite aguda (PA) é uma patologia comum e está associada a significativas taxas de morbidade e mortalidade, tem como causas mais comuns: obstrução, doença metabólica, alergia, toxicidade, infecções, causas iatrogênicas, genéticas, trauma, pancreatite autoimune e transplante renal. Quanto à epidemiologia, a forma mais grave da PA atinge 20% de todos os pacientes, e está associada a complicações locais e sistêmicas, que vão desde necrose pancreática à disfunção orgânica sistêmica. Também, possuem maior prevalência em pessoas com fatores de risco, como obesidade e distúrbios metabólicos. Quanto às manifestações clínicas, a doença apresenta dor abdominal epigástrica aguda de início súbito, muitas vezes irradiando para as costas, náuseas, vômitos, falência de órgãos, ativação inadequada do tripsinogênio, infiltração de células inflamatórias e destruição de células secretoras. Sua identificação depende de uma anamnese minuciosa, um exame físico bem detalhado e exames complementares. No que tange ao diagnóstico clínico e laboratorial, estão presentes: dor abdominal em andar superior, amilase e lipase superior a três vezes o limite normal. Para auxiliar o diagnóstico pode-se lançar mão da análise imagiológica solicitando tomografia computadorizada (TC), ressonância nuclear magnética (RM) e colangiopancreatografia, fornecendo mais detalhes com melhor acurácia para, juntamente com os dados clínicos, obter o diagnóstico definitivo. Já a abordagem terapêutica, apresenta-se através do manejo farmacológico e cirúrgico. Na abordagem conservadora, lança-se mão da hidratação, suporte ventilatório e nutricional, além de analgesia. A abordagem cirúrgica utiliza a colecistectomia laparoscópica (CL) precoce em quadros de PA de origem biliar e colangiopancreatografia retrógrada (CPRE) deve ser realizada com urgência quando associada a colangite aguda.
From efficient to smart: transitioning from certified high-performance commercial buildings
Authors: De Almeida Matheus Oliveira , Vieira Júlia Cordeiro , Oliveira Raquel Diniz , Reis Elvys Dias
Published: November 2022

The technology, integrated security, and communication systems building-oriented had a great evolution in the last decades. Likewise, the energy efficiency concepts and the greater concern related to sustainability in the civil construction sector have both been enlarged. Although buildings certified as intelligent have gained more prominence in recent years, their highlight is still minor considering that they are one step ahead of those certified as sustainable due to improving technology and tools to achieve maximum energy efficiency. In this context, this work aims at providing a foundation for a better understanding of the various parameters required for the transition from a sustainable building certificated to an “smart building”, using the Smart Readiness Indicator (SRI) as a reference. To this end, a checklist was proposed to better guide the transition from sustainable to smart. Moreover, a Leadership in Energy and Environmental Design (LEED) certificated building located in Belo Horizonte, Brazil, was taken as the object of study to assess its potential to meet the requirements of building intelligence. The results revealed that the building sustainable certification of LEED does not ensure that it reaches a significant potential for intelligence, but it contributes to the fact that part of the criteria required for its transition is already being met. In general, it is understood that the proposed checklist may be also applied in other cases to assist in the purpose of analyzing the transition from efficient to smart buildings through the analyzed parameters, as well as contribute to a new generation of automated and ecologically sustainable buildings.
Evaluation of clarithromycin and levofloxacin resistance of Helicobacter pylori strains isolated from patients at the Hospital for Tropical Diseases, Ho Chi Minh City
Authors: Hoang Nguyen Van Minh , Anh Nguyen Tuan , Hieu Tran Trung , Ngan Luong Thi My
Published: November 2022

Clarithromycin (CLA) and levofloxacin (LFX) have been recommended as the most effective antibiotics for treating Helicobacter pylori infection. However, the increase in H. pylori’s resistance to antibiotics is an alarming and growing challenge. The study aimed to determine the antimicrobial resistance profiles of H. pylori strains isolated from patients at the Hospital for Tropical Diseases and to detect point mutations in 23S ribosomal RNA (23S rRNA) and gyraseA (gyrA) genes. Point mutations in 23S rRNA and gyrA were detected using Sanger sequencing. Antibiotic resistance was tested by the microdilution method. Out of the 45 isolates, 44 (97.8%) were found to be resistant to at least one antibiotic, 38 (84.4%) resistant to metronidazole (MTZ), and all were sensitive to amoxicillin (AMX) and tetracycline (TET). Sixty percent of the isolated strains were resistant to 3-6 antibiotics; among them, multiple drug resistance (MDR) strains presented twenty percent resistance to more than two classes of antibiotics. Eleven strains (24.4%) carried two mutations associated with CLA and LFX but only nine of them were dual resistant to CLA and LFX, and twenty-four (53.3%) carried either CLA or LFX mutation. The point mutations A2143G in the 23S rRNA and N87K (Asn87Lys) in the gyrA were detected in the CLA and LFX resistant strains, respectively. The prevalence of MDR, especially CLA, MTZ, and LFX resistance, in the H. pylori isolates suggests that the use of these antibiotics need to be more considerable and cautious.
Influence of outdoor advertisements on architecture in the City of Lublin
Authors: Kozak Małgorzata
Published: November 2022

Polish cities are currently facing an issue of intrusive billboards obstructing the faacades of buildings. While the majority of articles on this subject focus on the negative impact this phenomenon, little attention is drawn to the destructive technical effects  the advertisements have on the facades. This article addresses phenomenon of visual pollution examins the  influence of based on the example of selected buildings located in Lublin’s City Centre. The article analyses the placement of advertising signs, and categorizes of most technical and social problems that it entails. The relation between the occurrence of outdoor advertising and the increase in anti-social behaviour in commercialised space, raised in the article, could be a very important topic for further research. The results of the conducted study reveal that the installation of advertising billboards irreversibly damages the facades of buildings, which is especially visible when the advertisements are removed. The article complements the study on outdoor advertising, drawing attention to one of its little-discussed, technical aspects. Consequently, it may serve as a starting point for further discussion on the subject.
Influence of enhanced Coulomb’s model on the draw-in of the hood inner panel
Authors: de Carvalho Lucas Alexandre , Lukács Zsolt
Published: November 2022

A constant coefficient of friction (Coulomb) is commonly used as the current industry standard to describe friction on the sheet metal forming simulation software. The use of constant Coulomb’s friction may reduce precision and so the effectiveness of the simulation to represent real-world processes. This paper presents an approach using a physical measurement of friction combined with pressure dependent friction model as an input for the metal forming simulation of a hood inner part on AutoForm. The input variable parameters are the constant Coulomb and the enhanced pressure-dependent model. For the output this study analyses the Forming Limit Diagram (FLD) and blank’s draw-in in a real problem provided by a car manufacturer.
Enhancing the Life Cycle of the Jack up Structure by Applying Alternative Foundation Methodologies in Geotechnical Engineering
Authors:   Research Scholar, Department of Civil Engineering, S.V.N.I.T., Surat (Gujarat), India., Parikh Arpit A. , Desai Dr. Atul K. ,   Professor, Department of Civil Engineering, S.V.N.I.T. Surat, (Gujarat), India., Gandhi Dr. Shailesh R. ,   Visiting Professor, Department of Civil Engineering, Indian Institute of Technology, Gandhinagar (Gujarat), India.
Published: November 2022

A jack-up structure is a bottom-mounted floating unit having an adjustable hull and movable legs. Particular jack-up structures are more susceptible to hazards under environmental loads during their operation and life cycle in the ocean. Authors' attempts here to enhance its life cycle and sustainability in shallow to deep waters by correctly accessing soil behaviour and predicting its load carrying capacity. Here the numerical analysis of the substructure has been attempted. Simulation of load-deformation behavior under axial compression has been carried out for advancing research. The entire study has been carried out using three-dimensional finite element-based software Plaxis 3D A.E. 2017. The geometrical variation of substructure spud can have an inverted spud at the centre bottom from 120 0 to 180 0 has been studied for knowing behaviour under axial compression, axial tension, and lateral forces. The simulated numerical model is used to develop empirical expressions for axial capacities estimation. The numerical analysis results indicate that spud can have an inverted angle of cone 130 0 is most beneficial under the static combined vertical, moment, and horizontal loading (3D loading) in marine clay. The axial load carrying capacities in compression, tension, and lateral loading follow the same sequence in ascending order from 180 0 ,175 0 , 150 0 , 130 0 and highest in 120 0 . Stiffness and undrained shear strength of soft clay contribute more than the diameter of the spud and embedment depth in compression and tension.
Comparison of robust machine-learning and deep-learning models for midterm electrical load forecasting
Authors: YAPRAKDAL Fatma , BAL Fatih
Published: November 2022

Electrical load forecasting (ELF) is gaining importance especially due to the severe impact of climate change on electrical energy usage and dynamically evolving smart grid technologies in the last decades. In this regard, medium-term load forecasting, a crucial need for power system planning (generation optimization and outages plan) and operation control, has become prominent in particular. Machine learning and deep learning-based techniques are currently trending approaches in electrical load estimation due to their capability to model complex non-linearity, feature abstraction and high accuracy, especially in the smart power systems environment.

In this study, several load forecasting models based on machine learning methods which comprise linear regression (LR), decision tree (DT), random forest (RF), gradient boosting, adaBoost, and deep learning techniques such as recurrent neural network (RNN) and long short-term memory (LSTM) are studied for medium-term electrical load demand forecasting at an aggregated level. Performance metric results of these analyzes are presented in detail. State-of-the-art feature selection models are examined on the dataset and their effects on these forecasting methods are evaluated. Numerical results show that forecasting performance can be significantly improved. These results are validated by the results of other studies on the subject and found to be superior.
Table Partition in STARS: Concept and Evaluations
Authors: Tanaem Penidas Fiodinggo , Tanaamah Andeka Rocky , boymau infraim oktofianus
Published: November 2022

Database performance is one of the main components in supporting the sustainability of a system in this case is Student's Activity Record System (STARS). One way to improve the performance of the database is to use the concept of a partition table. Thus, in this study, the design and evaluation of the partition table will be carried out which will then be applied to the Satya Wacana Christian University (SWCU) STARS database. The results of this study indicate that partition tables have better performance than non-partitioned tables seen from several SQL syntaxes like update, delete, and select. Meanwhile, insert performs poorly for partitioned tables compared to non-partitioned tables.