bluuebunny/crossref_metadata_2025_split huggingface dataset:
Underwater acoustic object recognition with few shot SE_RseNet_Decoder semi-supervised learning
Authors: Lingzhi Xue , Xiangyang Zeng , Xiang Yan , Shuang Yang 
Published: August 2022

Abstract
Underwater acoustic object recognition is becoming attractive given the critical information available. However, this comes at the expense of large-scale annotated data, which is expensive to collect and annotate. This paper proposes a semi-supervised learning approach of SE_RseNet_Decoder to recognizing insufficient sample underwater acoustic targets. Given this goal, we introduce the SE_RseNet_Decoder network containing supervised and unsupervised modules. Firstly, we leverage the supervised module to recognize the labeled signals and reduce the dimensional feature extraction of unlabeled samples. Then, the unsupervised network is designed as an auxiliary network to optimize the supervised network, which uses low-dimensional features to restore high-dimensional features of unlabeled samples to enhance the classification ability of the supervised network. We especially introduce ReLU activation function to connect the supervised and unsupervised modules that can help find a balanced relationship between classification and regression tasks for recognizing underwater acoustic signals. Extensive experiments on multiple benchmark datasets demonstrate the superiority of our framework showing that the proposed approach achieves the best recognition accuracy compared with the other approaches with few samples. Moreover, the experimental results can demonstrate the optimal combination of variables for the recognition effect of the proposed method under multiple variables.
Experimental Analysis on performance of Engineered Cementitious Composite with Reactive Nano, Micro MgO, Micro Tio 2 at Normal and H 2 So 4 acid conditions
Authors: Chowdary Muppalla Venkata Sai Surya Pratap , Asadi SS. 
Published: August 2022

Abstract
Engineered Cementitious Composite (ECC) is one of the high-performance-based structural components. The materials used in the preparation of this composite are responsible for its characteristics. To improve structural safety against acid rains, the impact of one of the significant acids (H2So4) on mechanical, durability, and microstructural characteristics of Nano MgO based ECC with the different fine aggregates namely, Silica sand, Indian Zone II River sand and Manufactured sand is analyzed. For this, three mixes (Mix-A with silica sand, Mix-B with river sand, Mix-C with 50% River sand+ 50% Manufactured sand) were considered and cast specimens. In the composition, a suitable content of Micro MgO and Micro Tio2 are available. These specimens are kept for 28days under water curing before placing in an acidic solution and normal (atmospheric at 25 to 400C) conditions. The performance of acid (5% concentration) exposed specimens is compared with the normal atmospheric conditions after 28days. Three layers are formed on the surface of each specimen at acid exposure and 2layers are formed under normal conditions. A small layer of Caco3 + Tio2 formed on top of the specimens, this was responsible for photocatalytic action to reduce Co2 into fuels. Below this layer, the brucite layer formed on the specimens that reduced further exposure to acid. Apart from this, the Gypsum layer formed in the acid-exposed specimens. All these layers are formed by the chemical reaction of Nano MgO, Micro MgO and Tio2 with other materials. These reactions were also responsible for the almost same strength and densification under both conditions. But Mix-C showed better performance than other mixes due to the presence of high content portlandite and micro MgO that are responsible for an increase in the thickness of layers.
Antibiotic use in children under five years of age in Northern Tanzania; the experiences of the caring mothers
Authors: Emgård Matilda , Mwangi Rose , Mayo Celina , Mshana Ester , Nkini Gertrud , Andersson Rune , Lepp Margret , Skovbjerg Susann , Muro Florida 
Published: August 2022

Abstract
Background: Antimicrobial resistance is a serious threat to the global achievements in child health thus far. Previous studies have found high use of antibiotics in children in Northern Tanzania, but the experiences of the primary care-givers, who play a key role in accessing and administering antibiotics for the sick child, has remained largely unknown. We aimed to understand mothers’ conceptions of antibiotic use in their children, which is of importance when forming strategies to improve antibiotic use in the community. Method: A qualitative study including eight focus group discussions with mothers of under-five children in Moshi urban and rural districts, Northern Tanzania, was performed during 2019. The discussions were recorded, transcribed verbatim, translated to English and analysed according to the phenomenographic approach. Findings: Three conceptual themes emerged during analysis; (1) conceptions of disease and antibiotics, (2) accessing treatment and (3) administering antibiotics. Antibiotics were often perceived as a universal treatment for common symptoms or diseases in children with few side-effects. Although mothers preferred to attend a healthcare facility, unforeseen costs, long waits and lack of financial support from their husbands, pose barriers for care-seeking. However, pharmacies were perceived as a cheap and convenient option to access previously used or prescribed antibiotics. Some mothers sought advice from a trusted neighbour regarding when to seek care, thus resembling the function of the community health worker (CHW). Conclusions: To improve antibiotic use in children under five years of age in Northern Tanzania, we suggest targeting behaviour of individuals alone will not be sufficient. Improving structures, including the healthcare system and socio-economic inequality, are needed for sustained results. In the meantime, equipping CHWs to support women in appropriate healthcare seeking for their children, may be a feasible target for intervention.
Impact of microbial genome completeness on functional metagenomics
Authors: Eisenhofer Raphael , Odriozola Iñaki , Alberdi Antton 
Published: August 2022

Abstract
Inferring the functional capabilities of bacteria from metagenome-assembled genomes (MAGs) is becoming a central process in microbiology. Here we show that the completeness of MAGs has a significant impact on the recovered functional signal, spanning all domains of metabolic functions. We identify factors that affect this relationship between genome completeness and function fullness, and provide baseline knowledge to guide efforts to correct for this new-found bias in functional metagenomic analyses.
Hybrid Gravitational Search Algorithm to Solve the Task Scheduling Problem of Two-Machine Flow Shop
Authors: Pirozmand Poria , Mirkamali SeyedSaeid , Slowik Adam 
Published: August 2022

Abstract
The main goal of any task scheduling problem is to map several tasks to proper processors so that it could optimize one or more objectives at an acceptable time under some constraints. In this paper, the problem of scheduling n independent work with different due times on Two -Machines in the sequential flow shop environment is investigated. To solve this problem, we propose a hybrid metaheuristic algorithm that combines the Simulated Annealing (SA) with Gravitational Search Algorithm (GSA) called SA_GSA. The proposed hybrid algorithm starts the above problem by defining two stages. First, we generate an initial solution of the problem using the SA algorithm, then we run the GSA algorithm on the generated solution. To evaluate the answers, the criterion of the minimum weight of delays and delays of tasks has been used as an objective function, which is considered in line with the goals of timely production systems. The proposed algorithm is presented in 4 scenarios, which are obtained by considering two different modes for the Markov chain and how to reduce the temperature. Finally, according to the analysis of the results and the quality of the results, the best scenario is introduced as the final result. Experimental results show that the performance of the proposed algorithm in finding the optimal answers in most of the problems could compete with state-of-the-art.
How effective are drain tip cultures at predicting surgical site infections after hip arthroplasty?
Authors: Toga Akira , Balaji Ayush , Hemmi Osamu , Ishii Ken , Tokunaga Shigeyuki , Katoh Shojiro , Izumida Ryoichi 
Published: August 2022

Abstract
Background: Postoperative surgical site infections (SSIs) are a common complication of surgical procedures; however, the use of drain tip cultures to diagnose SSIs in patients is controversial. The objective of this study was to evaluate the efficacy of drain tip cultures for the prediction of postoperative SSIs in patients recovering from hip arthroplasty. Study design: The data was compiled from 1204 patients in 15 years and statistical analysis was performed to evaluate the diagnostic value of drain tip culture in determining surgical site infection. We also used this data to evaluate whether preexisting conditions such as hypertension or diabetes affected the probability of a patient getting an SSI. Results: Drain tip cultures were positive in 12 of 1,112 cases of primary hip arthroplasty, but only one of these 12 patients were ultimately diagnosed with an SSI (Sensitivity, 12.5%; specificity, 99.0%; p = 0.0834). Results from postoperative drain tip cultures performed in patients undergoing revision arthroplasty included 2 false positives and 3 false negatives; interestingly, no true positives were detected in any of the revision arthroplasty cases we evaluated (sensitivity, 0％; specificity, 97.8％; p = 0.9355). Conclusion: Our results indicate that drain tip cultures have no statistically significant predictive value for the diagnosis of postoperative SSIs and thus should not be used as a primary diagnostic or predictive tool for SSIs. We recommend exploring other diagnostic tools for the postoperative diagnosis of SSIs. Standardized guidelines should therefore be established to improve the predictive value of the different methods.
Dual Rifampicin and Isoniazid Mannose-Decorated Lipopolysaccharide Nanospheres for Macrophage-
Targeted Lung Delivery
Authors: Sumaila Mumuni , Kumar Pradeep , Ubanako Philemon , Adeyemi Samson A. , Choonara Yahya E. 
Published: August 2022

Background:
Currently, the treatment protocols for tuberculosis (TB) have several challenges such as inconsistent oral bioavailability, dose-related adverse effects, and off-target drug toxicity.

Methods:
This research reports design and characterization of rifampicin (RIF) and isoniazid (INH) loaded hybrid lipid-polysaccharide nanoparticles using the solvent injection method, and demonstrated the influence of conjugated mannosyl residue on macrophage targeting and intracellular drug delivery capacity.

Results:
The nanospheres, herein called mannose-decorated lipopolysaccharide nanoparticles, were spherical in shape, exhibiting average sizes less than 120 nm (PDI<0.20) and positive zeta potentials. Drug encapsulation was greater than 50% for rifampicin and 60% for isoniazid. The pH-responsive drug release was sustained over a 48-hour period and preferentially released more rifampicin/isoniazid in a simulated acidic phagolysosomal environment (pH 4.8) than in a simulated physiological medium. TGA and FTIR analysis confirmed successful mannose-grafting on nanoparticle surface and optimal degree of mannosylation was achieved within 48-hour mannose-lipopolysaccharide reaction time. The mannosylated nanoparticles were biocompatible and demonstrated a significant improvement towards uptake by RAW 264.7 cells, producing higher intracellular RIF/INH accumulation when compared to the unmannosylated nanocarriers.

Conclusion:
Overall, the experimental results suggested that mannose-decorated lipopolysaccharide nanosystems hold promise towards safe and efficacious macrophage-targeted delivery of anti-TB therapeutics.
Predicting the Anticancer Activity of 2-alkoxycarbonylallyl Esters against
MDA-MB-231 Breast Cancer - QSAR, Machine Learning and Molecular
Docking
Authors: Oyeneyin Oluwatoba Emmanuel , Obadawo Babatunde Samuel , Olanrewaju Adesoji Alani , Metibemu Damilohun Samuel , Emaleku Sunday Adeola , Owolabi Taoreed Olakunle , Ipinloju Nureni 
Published: August 2022

Background:
The continuous increase in mortality of breast cancer and other forms of cancer due to the failure of current drugs, resistance, and associated side effects calls for the development of novel and potent drug candidates.

Methods:
In this study, we used the QSAR and extreme learning machine models in predicting the bioactivities of some 2-alkoxycarbonylallyl esters as potentials drug candidates against MDA-MB-231 breast cancer. The lead candidates were docked at the active site of a carbonic anhydrase target.

Results:
The QSAR model of choice satisfied the recommended values and was statistically significant. The R2pred (0.6572) was credence to the predictability of the model. The extreme learning machine ELM-Sig model showed excellent performance superiority over other models against MDA-MB-231 breast cancer. Compound 22 with a docking score of 4.67 kcal mol-1 displayed better inhibition of the carbonic anhydrase protein, interacting through its carbonyl bonds.

Conclusion:
The extreme learning machine’s ELM-Sig model showed excellent performance superiority over other models and should be exploited in the search for novel anticancer drugs.
Effective Topical Psoralen Herbal Hydrogel Expending Capsaicin as a
Penetration Enhancer
Authors: Bhardwaj Kamini , Sharma Pankaj Kumar , Sachdeva Monika , Budhlakoti Pankaj , Ghosh Nemai Chandra 
Published: August 2022

Background:
This research aims to prepare a hydrogel of psoralen and capsaicin extract for
topical application using various gelling agents like Carbopol 940, HPMC, Pluronic 127, and Pectin to
minimize the side effect of synthetic drugs in treating psoriasis. Natural, synthetic, and semi-synthetic
polymers were utilized for the treatment of psoriasis, and provide a number of benefits, including improved
skin permeability, particularly for psoralen, and improved drug stability with improved therapeutic
concentration gradients across the skin. Psoriasis is a T cell-mediated autoimmune disease affecting
2-3 % worldwide.

Methods:
FTIR and HPLC confirm the extract identification. pH, spreadability, homogeneity, extrudability,
phase separation, viscosity, drug content, and stability analysis are all tested on all prepared
hydrogels. The releases of psoralen from all prepared formulations are studied in phosphate buffer pH
6.8 using dialysis membranes at 37oC.

Results:
The net results conclude that hydrogels made using Carbopol-940 and HPMC (A1, A3, B2,
B3) are the most superior and reliable formulations in terms of physicochemical parameters and in
vitro permeation studies, out of which 1% carbopol 940 formulations (A3) showed maximum %CDR
of 87.96 % much higher compared to other concentration used. Fitting data of the best formulations
(A1, A3, B2, B3) obtained from in vitro drug permeation studies showed the release best fitted to the
Korsmeyer-Peppas model as indicated by higher R2 value. The optimum formulation (A3) has a higher
R2 value, which is then compared with the marketed formulation for the release of psoralen (in
vitro), showing that %CDR of the A3 formulation (87.96%) is much higher than the %CDR of the
marketed formulation (79.58%), due to the impact of capsaicin which acts as a penetration enhancer
and therefore increases psoralen release from the hydrogel.

Conclusion:
As a result, the permeability issue with Psoralen for dermal drug administration has been
overcome by using capsaicin as a permeability enhancer.
Phytochemistry and Pharmacology of Indian Traditional Plant Hyssop
(Hyssopus officinalis L.): A Review
Authors: Kumar Vanktesh , Kaur Navjot , Kaur Arvinder , Wadhwa Pankaj 
Published: August 2022

Abstract:
Hyssopus officinalis is a traditional medicinal plant that belongs to the family Lamiaceae, which has been used from centuries for various purposes like carminative, expectorant, cough reliever. It has been used for the treatment of numerous diseases in patients such as ulcers, asthma, jaundice, leprosy, dropsy, bronchitis, COPD, diabetes, AIDS, bacterial and fungal infections as an herbal remedy due to its fewer side effects and is more efficacies than other traditional medicine. Major classes of chemical compounds found in H. officinalis essential oil are bicyclic monoterpenes, monoterpenoids, acyclic monoterpenes, phenolic monoterpenoids, monocyclic monoterpenes, monocyclic sesquiterpenes, tricyclic sesquiterpenes, bicyclic sesquiterpenes, tricyclic sesquiterpenoids, straight chain saturated hydrocarbons. Some of the major chemical constituents present in the H. officinalis are β-pinene, α-pinene, 1, 8-cineole, apigenin, diosmin, caffeic acid, rosmarinic acid, cis-pinocamphone, trans-pinocamphone, iso-pinocamphone, pinocarvone, which are responsible for its various pharmacological activity. Various studies have been performed on the pharmacological activity of its extract, such as antioxidant, antimicrobial, anti-diabetic, anticancer, antiviral, anti-inflammatory, analgesic, anti-leishmanial, anthelmintic, anti-protozoal and anti-anxiety. Recently, it is use as an anticancer agent has been demonstrated by studying its cytotoxic and apoptotic effects on breast cancer and colon cancer cells. It is used as a potent antibacterial and antifungal agent was studied on the antibiotic-resistant bacterial and fungal strains recently, which can be further useful in developing herbal medicine against AMR. It is an excellent natural antioxidant due to the presence of polyphenolic compounds, and H. officinalis is used in various food industries as a source of natural antioxidants, which has minimum side effects as compared to artificial antioxidants. Furthermore, the pharmacological activity of these individual chemical constituents in H. officinalis extract still needs to be investigated for identifying the effectiveness of this plant in the natural treatment of various diseases. This review aims to collect various data regarding the traditional herbal plant hyssop (Hyssopus Officinalis), including its photochemistry, chemical structures of the phyto-constituents and pharmacological profile, along with all the pharmacological models. This plant has significant importance in the health industry, so further studies are required on its effective usage against various emerging health problems, including COVID-19, cancer, diabetes, AMR.
Livros didáticos na Educação Infantil: usá-los ou não?
Authors: Souza Isaura Lays Sá Fernandes de , Bastos Ana Paula Solino , Mota Maria Danielle Araújo 
Published: August 2022

Neste trabalho, objetiva-se analisar o papel da brincadeira e da participação infantil em atividades propostas em um livro didático da Educação Infantil. Metodologicamente, foi realizada uma pesquisa qualitativa do tipo documental, a qual tomou como objeto de estudo o livro manual do professor da Pré-escola para crianças de quatro anos. O livro foi analisado por meio da Análise Textual Discursiva, a partir das seguintes categorias: a) O brincar como ferramenta pedagógica e b) Participação e o desenvolvimento das múltiplas linguagens infantis. Dentre os resultados, constatou-se que apesar da boa qualidade gráfica da coleção e das ilustrações retratarem a diversidade cultural do nosso país, as atividades sugeridas para crianças de quatro anos apresentam exercícios similares àqueles propostos para os anos iniciais do ensino fundamental, estimulando de forma precoce a alfabetização e o letramento, por explorar exclusivamente a literacia e a numeracia. Sendo assim, a brincadeira e a participação infantil considerados, desde então, como eixos fundamentais a serem explorados nesta etapa da educação básica, aparecem de forma superficial, descaracterizando a criança enquanto sujeito ativo que aprende brincando e interagindo, os quais por meio das experiências é que desenvolve o pensamento simbólico e produz cultura.
Tempos sombrios entre nós: proposta de aula e de atividade para o ensino de História através da distopia
Authors: Furlanetto Gabriel Henrique de Oliveira , Oliveira Neto Wilson de 
Published: August 2022

A primeira metade do século XX se caracteriza por ser um dos períodos mais tenebrosos da História, pelo motivo de o Crash de 1929, a Primeira e Segunda Grande Guerra configurarem grandes decadências. Dado o grande sofrimento desse período, uma das consequências foi a ascensão do gênero literário de distopia, que se trata de inculcar no futuro o pessimismo humano. Por essa questão, esse artigo visa demostrar, através de revisão bibliográfica, como as obras dessa literatura podem servir para o ensino de História através da temática referente aos sofrimentos da primeira metade do século XX, na proposição de uma aula temática para o Novo Ensino Médio e de uma atividade didática utilizando dois exemplos de obras literárias. Nesse assunto, será dissertado sobre o imaginário social do século XIX para que se possa compreender a grande ruptura de experiências europeias entre os oitocentistas e os novecentistas. As informações desse artigo, que foram possibilitadas através dos incentivos do Pibid e experiências de um bolsista, poderão servir para aulas e atividades avaliativas. Dessa forma, será observado como a distopia e a incorporação imaginativa dessa em sala de aula poderá colaborar para o aprendizado de História e para com a prática do criticismo.
The Relative Effects of Grandiose and Vulnerable Narcissism on External Forecasting Behavior
Authors: Hayes Matthew J. , Reckers Philip M. J. 
Published: August 2022

ABSTRACT
We examine the relationship between grandiose (GN) and vulnerable (VN) narcissism and their relative effects on external forecasting behavior. We also investigate how narcissists respond to a stronger/weaker forecast made by an industry competitor. Our participants are practicing professionals with accounting or corporate finance experience. We find evidence of a nonlinear relationship between GN and VN. At lower levels of GN, the relationship between the two is not statistically significant, but as GN increases they show a strong, positive correlation. High-GN narcissists exhibit relatively aggressive forecasting behavior, even when they are also high-VN, and are not particularly responsive to a strong competitor forecast. In contrast, low-GN/high-VN narcissists are more strategic, issuing more (less) aggressive forecasts when the competitor forecast is stronger (weaker). Our research contributes to the limited accounting research on VN and highlights the importance of considering both GN and VN on manager behavior.
Ending at the Wrong Time: The Financial Reporting Consequences of a Uniform Fiscal Year-End
Authors: Li Zhe , Ye Kangtao , Zeng Cheng , Zhang Bo 
Published: August 2022

ABSTRACTThere is an ongoing debate over uniformity versus flexibility in accounting regulation. This study examines the financial reporting consequences of a rigid accounting rule in China under which the fiscal year-end is uniform for all companies. Using extensive interviews together with large-sample archival analyses, we find that “mismatched” firms—those whose mandated financial reporting cycles are not aligned with their business cycles—exhibit higher levels of absolute abnormal accruals than their nonmismatched counterparts. Further analyses suggest that the negative association between mismatching and financial reporting quality is mainly driven by unintentional estimation errors rather than intentional earnings manipulation.Data Availability: Data are available from the public sources cited in the text.JEL Classifications: M41; M48; K22.