bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bacteriology and antibiotic sensitivity in gynaecological abdominal surgical site infections
Authors: Panda Sandhyasri , Lepakshi Sarepalli Sai Sindhura Puja 
Published: July 2024

Background: Surgical site infection increases the rate of re hospitalisation, the use of health care, diagnostic, and therapeutic resources, and hospital costs. Severe sequelae may exacerbate primary and devastating infections. About 39-51% of pathogens causing surgical site infections were documented to be resistant to standard prophylactic antibiotics. This study aimed to calculate surgical site infection rate at our hospital. To identify the isolates causing surgical site infections and study anti-microbial susceptibility pattern of isolated organisms.
Methods: This observational study was done among patients who underwent abdominal gynaecological surgeries and who developed surgical site infection in department of obstetrics and gynaecology in Maharajahs institute of medical sciences during May 2022 to April 2024.
Results: Surgical site infection rate at our hospital is 18.29%, there are 30 surgical site infections, 76.7% cases are culture positive, 23.3% cases are sterile, 52.2% cases are gram negative, 47.8% are gram positive. Most common organism isolated is E. coli (39%) followed by Staphylococcus aureus (26%), enterococcus (21.7%), Pseudomonas (8.6%), Klebsiella (4.3%). Antibiotic susceptibility pattern shows maximum overall sensitivity of organisms to amikacin (65.4%) followed by gentamicin (56%), piperacillin tazobactum (52.17%), amoxyclav (47.8%) followed by rest of drugs.
Conclusions: Practice of routine culture and sensitivity of surgical site infections can prevent grave complications, limit cost of treatment, prevent fast emerging antimicrobial resistance. In our study, complications are limited to need for secondary suturing. The most susceptible drug in our study is amikacin, thus, it can be incorporated as a part of empirical treatment in patients with surgical site infection before the culture sensitivity report is obtained.
A challenging case of prolactinoma in pregnancy
Authors: Sinha Sweta , Bhorania Riddhi , Shah Dipal , Sapre Shilpa 
Published: July 2024

Prolactinomas are the most common functional tumour of pituitary gland arising from lactotrophs. Microadenomas constitute 90% and the rest are macroadenomas. Females are more prone to develop macroadenomas. High estrogen levels during pregnancy leads to increase in the size of prolactinomas thereby leading to compression of optic chiasma. This eventually manifests as visual symptoms and headache. Pharmacotherapy with dopamine agonists is the treatment of choice. We present here a case of prolactinoma in a pregnant woman whose symptoms worsened due to increase in size of the tumor. Multidisciplinary management resulted in successful outcome.
A rare combination of double primary malignancies; mixed germ cell tumor of testis with papillary carcinoma of thyroid: a case report
Authors: M. S. Anuja , K. P. Abdulla , Chandrasekharan Arun 
Published: July 2024

Double malignancy occurring in multiple organs is relatively rare yet possible. The second primary lesion is identified either simultaneously with the primary lesion (synchronous) or after a while (metachronous). We report a case of synchronous double malignancy in a patient who had two separate carcinomas, a non-seminomatous germ cell tumor (NSGCT) and a papillary carcinoma of thyroid. These types of synchronous double malignancies can be dealt as independent carcinomas. This existence of two carcinomas at anatomically dissimilar sites with distinct histopathologies, being a rare combination, led us to report the case.
ACTIVIDAD SÍSMICA Y TASA DE DEFORMACIÓN SISMOTECTÓNICA EN LA ZONA DEL VIEJO CALDAS, COLOMBIA
Authors: Tabares Ocampo Lina María , Mora Paez Héctor , Salcedo Hurtado Elkin de Jesús 
Published: July 2024

La región del Viejo Caldas, afectada por la subducción de la placa de Nazca bajo la placa Suramericana, se caracteriza por la ocurrencia de sismos profundos y destructivos. En este artículo se evalúa la actividad sísmica y la tasa de deformación sismotectónica a partir de relaciones empíricas existentes, empleando información sismológica profunda y solución de mecanismos focales. Los resultados obtenidos, concordantes con los obtenidos a partir de las mediciones geodésicas realizadas en las campañas de GPS del Proyecto CASA, muestran que bajo el Viejo Caldas la placa de Nazca presenta esfuerzos distensivos, y se está moviendo a una velocidad de 41 mm/año con un azimut de 133º, factores que generan actividad sísmica alta y probabilidad de ocurrencia de un sismo con magnitud Mb ≥ 7,4.
Decyzje na rynkach Venture Capital / Private Equity
Authors: Zimny Artur 
Published: July 2024

Książka ma charakter monografii prezentującej segment rynku finansowego tworzony przez inwestorów venture capital. Rynek ten zaczął się kształtować w formie zinstytucjonalizowanej kilkadziesiąt lat temu, ale ciągle charakteryzuje go duża dynamika i zmienność wyrażająca się w poszerzaniu obszarów inwestowania, powstawaniu nowych form angażowania kapitału czy tworzeniu kolejnych instrumentów. Dyfuzja tych zmian i stopień rozwoju rynku venture capital w poszczególnych krajach wykazują duże zróżnicowanie, co rodzi wiele pytań i problemów dotyczących przesłanek i przebiegu procesu inwestycyjnego. Tymczasem badanie rynku venture capital i zachowań występujących na nim inwestorów nie jest zadaniem łatwym ze względu na utrudniony dostęp do informacji wynikający z charakteru inwestycji i form organizacyjnych dokonujących ich podmiotów. W tym kontekście praca przyczynia się do poszerzenia wiedzy w ważnym dla rozwoju nowoczesnej gospodarki segmencie rynku finansowego. Prezentuje ona szereg mało znanych dotychczas w literaturze krajowej danych dotyczących rynku venture capital i analiz zachowań jego uczestników.
Szczególną wartość naukową przedstawia weryfikacja kilku hipotez stanowiących przedmiot badań przeprowadzonych przez Autora. Praca jest cennym źródłem informacji i inspiracji dla osób zainteresowanych inwestowaniem venture capital. Może być wykorzystana zarówno w procesie dydaktycznym, jak i badaniach naukowych, a także przez praktyków związanych z rynkiem kapitałowym.

Publikacja finansowana w ramach dotacji na zadania służące rozwojowi młodych naukowców i doktorantów
ACEITAÇÃO SENSORIAL DE PRODUTOS LIVRES DE GLÚTEN ELABORADOS A PARTIR DE FARINHAS DE RESÍDUOS E SUBPRODUTOS VEGETAIS: UMA REVISÃO INTEGRATIVA
Authors: Vitor Soares Milka , Gonçalves Abreu Virginia Kelly , Gomes Nogueira Ferreira Adriana , Santos Neto Marcelino , Pereira Dutra Richard , Fernandes Pereira Ana Lúcia 
Published: July 2024

Existe uma tendência de utilização de resíduos/subprodutos de vegetais no desenvolvimento de produtos sem glúten. Contudo, é importante conhecer a aceitação sensorial dos produtos elaborados a partir dessas matérias-primas. Desta forma, o objetivo dessa revisão integrativa foi determinar a influência da utilização de farinhas de resíduos e subprodutos vegetais na aceitação de produtos livres de glúten. Para isso, elaborou-se uma pergunta de pesquisa baseada na estratégia PICo: Quais as evidências científicas relacionadas à utilização de farinhas de resíduos e subprodutos vegetais quanto à aceitação sensorial de produtos livres de glúten? As pesquisas foram feitas nas bases PubMed Central, ScienceDirect, Web of Science e editoras Springer Link e Wiley Online Library. Dos 2.800 documentos, quarenta e nove foram selecionados por meio de critérios de inclusão e exclusão empregados nas etapas propostas. Os resultados demonstraram que o bagaço de maçã foi a matéria-prima mais utilizada. Além disso, a aceitação sensorial da maioria dos produtos com subprodutos/resíduos vegetais esteve na região de aceitação das escalas. A porcentagem de inclusão de subproduto e o tamanho de partícula da farinha de resíduo/subproduto tiveram influência na aceitação sensorial. Entretanto, mais estudos precisam ser desenvolvidos para determinar as melhores concentrações, de maneira que não tragam prejuízos sensoriais.
Silicon fertilization reinforces community temporal stability via increasing species asynchrony under long-term nitrogen fertilization in alpine meadow
Authors: xu danghui , Tang Yuxin , Yang Yuting , Huang Baiying , Zhou Wenhong , Wu Yuqi , Mou Wenbo , Ma Hailan 
Published: July 2024

Abstract

There is a lot of empirical evidence pointing towards nitrogen (N) fertilization having adverse effects, but silicon (Si) fertilization having beneficial effects, on biodiversity in grassland. However, despite N and Si fertilization having been widely applied in grassland management, relatively little is known about how their influences on biodiversity can shape community temporal stability, which is of practical importance in guaranteeing the performance of multiple ecosystem functions. Here, a nine-year field experiment was conducted to test the mechanisms contributing to community temporal stability in relation to net primary productivity and species richness, including species dominance, species asynchrony, dominant species stability, and population stability, under N and Si fertilization in an alpine meadow ecosystem. We found that N fertilization increased the aboveground net primary productivity but decreased the species richness and species asynchrony. This meant that the community temporal stability was weakened through the reduced species asynchrony and increase in species dominance, which led to a less stable ecosystem. Meanwhile, Si fertilization increased community temporal stability directly, and indirectly via the positive influence on species asynchrony, indicating that compensatory growth is the main mechanism driving community temporal stability. Overall, Si fertilization was able to modulate the response of community temporal stability to N fertilization. These results highlight the different mechanisms driving community temporal stability under different types of nutrient fertilization, such as N and Si, which provides scientific support for alpine meadow management.
Multi-agents Rounding Strategy based on DeepReinforcement Learning GCMSA Algorithm
Authors: Wei Zhaotian , Wei Ruixuan 
Published: July 2024

Abstract

Aiming at the problem of target rounding by multi-agents in complex environ-ments, this paper proposes a Goal Consistency Reinforcement Learning Approachbased on Multi-head Soft Attention(GCMSA). Firstly, in order to make the modelcloser to reality, the reward function when the target is at different positions andthe target escape strategy are set respectively. Then, the Multi-head soft atten-tion module is used to promote the information cognition of the target amongthe agents, so that the agents can complete the target roundup more smoothly.Finally, in the training phase, this paper introduces cognitive dissonance loss toimprove the sample utilisation. Simulation experiments show that GCMSA isable to obtain a higher task success rate and significantly better than MADDPGin terms of algorithm performance.
Farmers’ knowledge and attitudes toward the use of low-cost stationary brushes for dairy cows
Authors: Nascimento Fernanda Gatti de Oliveira , Brito Amanda Aparecida , Bóscollo Paola Perez , Brettas Patrícia Kelly de Moraes , França André Madeira Silveira , De-Sousa Karolini Tenffen , Faria Priscila Neves , Guimarães Ednaldo Carvalho , Nascimento Mara Regina Bueno de Mattos 
Published: July 2024

Abstract

The aim was to assess farmers’ knowledge of herd behaviour, grooming-related injuries, stress reduction, familiarity with a brush device, and attitudes toward adopting a low-cost stationary brush. Farmers from Southeast and Midwest Brazil participated in an online survey. The questionnaire was organized into sections: first, about the profile of farmers; second, about the description of the milk production system; and third, about farmers' knowledge and attitudes toward brush devices. The data were analyzed using descriptive statistics, and a multiple logistic regression model was used to estimate the odds ratio. Farmers with a higher level of milking system technique were found to have 2.85 times greater odds of recognizing the need to reduce stress. Farmers interested in a low-cost brush were found to have 10.48 times greater odds of recognizing the need for stress-reducing improvements. Those who believe that the use of a brush improves milk production and cow welfare have 14.15 times greater odds of installing a low-cost brush. Most farmers reported familiarity with cow brushing. Moreover, farmers recognize the use of brushes as a beneficial strategy for reducing stress, improving milk production, and enhancing animal welfare, Consequently, they express a willingness to install a low-cost stationary brush for dairy cows.
Cowpea, sunflower, sorghum, pearl millet and showy ratllepod for Pratylenchus brachyurus management on soybean
Authors: Paes Bruno Scentinela Jacintho , Carvalho Gabriela Sousa , Inomoto Mário Massayuki 
Published: July 2024

Abstract

The lesion nematode Pratylenchus brachyurus is a major pest of soybean in Brazil, managed by treating seed with nematicides and replacing corn for pearl millet (Pennisetum glaucum) and rattlepods (Crotalaria spp.) as a second crop. However, these cover crops are not profitable, leading growers to consider alternatives as cowpea, sunflower, and sorghum. In fact, although cowpea and sorghum are susceptible to P. brachyurus, cowpea is widely cultivared in the Brazilian Cerrado, where P. brachyurus is prevalent, and the forage sorghum ‘BRS Ponta Negra’ has been recommended for P. brachyurus management, based on field observations. Considering the increasing importance of cowpea in the Brazilian Cerrado, three pot trials were carried out to evaluate the host status of modern cowpea cultivars for P. brachyurus. Additionally, two pot trials were carried out to evaluate the effect of cowpea, sunflower, forage sorghum ‘BRS Ponta Negra’, pearl millet and showy rattlepod on soybean production in soil with P. brachyurus, taking account the scarcity of studies that prove the benefits of replacing corn for resistant crops on soybean grain production. The five cowpea cultivars tested were highly suitable hosts for P. brachyurus, supporting previous findings. Therefore, cowpea should be avoided in infested growing areas, especially as a second crop after soybean. Among the cover crops, only showy rattlepod consistently decreased P. brachyurus population density and increased soybean grain production, proving to be more effective than pearl millet in managing P. brachyurus.
PANDAS, a series of difficult decisions: a case report
Authors: Wang Michael , Ricardi Randall , Ritfeld Gaby J. 
Published: July 2024

Abstract

Background: Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcus infections (PANDAS) is a controversial diagnosis with limited evidence-based treatment guidelines available, particularly for severe and treatment-resistant cases.
Case presentation: This report describes a 9-year-old male presenting with sudden onset, severe OCD symptoms one month following a streptococcus infection. His symptoms included suicidality and recurrent self-injurious behaviors, which led to multiple inpatient hospitalizations. He was diagnosed with PANDAS and was treated with psychotropic medications, antibiotics, immunotherapy, and a tonsillectomy. Over the two years since initial admission, the patient’s condition improved, with a decrease in symptom severity and an increase in adaptive functioning, though symptom remission was slow to occur
Conclusions: This paper explores the controversies surrounding the PANDAS diagnosis, reviews potential treatments, and discusses the dilemmas of medical decision-making in the setting of severe treatment-resistant symptoms and limited evidence-based guidelines. We hope that this case report will be valuable to healthcare providers facing similar presentations and inspire further investigation into this complex condition.
A Bibliometric Analysis of Refugee Health Publications in the Nursing Field between 1980 and 2023 by Visual Mapping Method
Authors: Öztürk Gizem , Dikeç Gül , Seren Arzu Kader Harmancı 
Published: July 2024

Abstract

Background
Millions of people worldwide are forced to migrate to another country, and nurses are the key professionals for providing necessary health care to this population. Providing nursing care to refugees or immigrants requires diverse transcultural professional competencies based on standardized guidelines. This study aimed to examine the bibliographic characteristics of publications on refugees and asylum seekers in the nursing field.
Methods
Data were obtained from articles scanned in the Web of Science Core Collection database. The 1672 articles that were published between 1980 and 2023 and met the inclusion criteria were analyzed using VOSviewer and Microsoft 365 Excel software. The BIBLIO Checklist was used for reporting.
Results
Most publications were published in 2020. The United Kingdom, the United States, Canada, and Australia have the highest number of publications, citations, and international cooperation. Additionally, "mental health" was one of the most commonly used keywords in the studies.
Conclusion
The findings show the importance of empowering nurses working in this field, especially in determining the needs related to mental health services for refugees. The increased migration rates and the growing need for health care for refugees highlighted the importance of investment in nursing research within this field. Nurses and researchers should aim to establish partnerships and share best practices with leading countries. Furthermore, nurses require specialized training to competently evaluate and provide nursing care and mental health services to this vulnerable population.
Analyzing Moisture Self-Diffusion coefficient and Pore Characteristics in Mongolian Scots Pine Using Single- sided NMR
Authors: Zhu Xiaofeng , Zhao Zhihong , Zhou Long , Liu Wenjing , Tan Rui , Wang Jiawei , Liu Huabing , Xie Zonghai Harry , Zhang Minghui 
Published: July 2024

Abstract

In this study, Single-sided NMR was used to detect the changes of axial and radial chord water self-diffusion coefficient with diffusion time of Pinus sylvestris var.mongolica. The result shows that, The self-diffusion coefficient ranked as axial > radial > tangential. Axial self-diffusion coefficient exhibited free diffusion, averaging 2.0×10⁻⁹ m²/s, while radial and tangential directions showed confined diffusion, decreasing with time. Based on the restricted diffusion theory, the results are as follows, Radial and tangential tracheid surface-to-volume ratios (S/V) were approximately 203,000 ± 10,600/m and 265,000 ± 25,000/m, pit sizes of 6.4 ± 0.33 µm and 6.2 ± 0.49 µm with, tortuosity values τR = 3.96 ± 0.02 and τT = 6.59 ± 0.45. Combining S/V with the form factor (Fs) and the T2 relaxation mechanism yields the following results, Average pore sizes for radial and tangential tracheids were 19.7 ± 1.44 µm and 15.09 ± 1.3 µm, Cell water transverse surface relaxation rates were ρ2R = 0.103 ± 0.005 µm/ms and ρ2T = 0.082 ± 0.007 µm/ms. This study provides a systematic method for wood moisture self-diffusion analysis.
Abnormal Heart Sound Recognition using SVM and LSTM Models in Real-time Mode
Authors: Al-Shannaq Moy'awiah A. , Nasrawi Areen , Bsoul Abed Al-Raouf , Saifan Ahmad A. 
Published: July 2024

Abstract

Cardiovascular diseases are non-communicable diseases that are considered the leading cause of death worldwide accounting for 17.9 million fatalities. Auscultation of heart sounds is the most common and valuable way of diagnosing heart diseases. Normal heart sounds have a special rhythmic pattern as an indicator of heart integrity. Many experts concentrate on diagnosing the heart by automatic digital auscultation systems which find various distinguishable characteristics for heart sound classifications. This can decrease the mortality rate for cardiovascular diseases and enhance the patient’s quality of life. This study aims to propose a real-time heart sound recognition system to classify both normal and abnormal phonocardiograms with the ability to define the abnormality type if existed. Digital signal processing methods, by applying the fast Fourier transform, filtering techniques, and the dual-tree complex wavelet transform, with machine learning classification algorithms are employed to segment the input phonocardiogram signal, extract meaningful features, and find the appropriate class for the input signal. We utilized three datasets, the PhysioNet of 1,395, the GitHub of 800, and the PASCAL of 100 files segmented into three cardiac cycles. The proposed solution relies on the support vector machine and the long-short term memory neural network to distinguish between normal and abnormal heartbeat sounds and to recognize the type of abnormality (in the case distinguished) respectively. The results show that the proposed approach for normal/abnormal classification achieves an overall accuracy of 96.0% and 98.1%, sensitivity of 94.4% and 84.2%, and specificity of 64.9% and 98.4% for two and one support vector machines respectively among the state-of-the-art solutions. The long short-term memory model is also a well-known efficient classifier for temporal data, and the results show the accuracy of 99.2%, 99.5%, 98.6%, and 99.4% for four, five, six, and seven classes. Furthermore, we found an efficient automatic segmentation method that was tested with the PASCAL database achieving a total error of 867,525.6 and 23,590.3 for datasets A and B respectively, with a computational time of 0.04 seconds to segment one cardiac cycle.
Pottery Evolution Pattern Discovery based on Deep Learning: Case Study of Miaozigou Culture in China
Authors: Pang Honglin , Qi Xiujin , Xiao Chengjun , Xu Ziying , Ding Guangchen , Chang Yi , Yang Xi , Duan Tianjing 
Published: July 2024

Abstract

Potteries, one of the tools widely used by early humans, encapsulates rich historical information. Deep neural networks have been applied to analyzing pottery digital images, bypassing the need for intricate handcrafted features. However, existing models focus solely on pottery shape comparison, neglecting the analysis of their evolution across different historical periods. In this work, we propose a method based on deep learning to assist experts in identifying the evolutionary patterns of a given pottery type within their specified chronological divisions. First we train a convolutional neural network for pottery classification, extracting low and high level features that represent different ages of pottery samples. Next, we employ clustering algorithms to identify representative potteries for each historical period based on high level features. To facilitate intuitive comparisons across different ages, we use shallow features and compute cosine similarities between potteries, visualizing shape and decoration differences. This approach enhances understanding of pottery evolution patterns directly through visual analysis. The effectiveness and efficiency of our proposed method are evaluated by validating it on three distinct era division cases using data from the Dabagou and Miaozigou archaeological sites, which represent the Miaozigou culture and exhibit clear evolutionary patterns. Our method identifies representative artifacts for each era and uncovers their evolutionary patterns effectively and efficiently, achieving conclusions comparable to those of experts while significantly reducing time compared to traditional manual methods.