bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative analysis of oncological outcomes between trimodal therapy and radical cystectomy in muscle-invasive bladder cancer utilizing propensity score matching
Authors: Kobayashi Keita , Fujii Nakanori , Shimizu Kosuke , Hitaka Yukihiro , Oka Shintaro , Nakamura Kimihiko , Hiroyoshi Toshiya , Isoyama Naohito , Hirata Hiroshi , Shiraishi Koji
Published: June 2024

Purpose: To compare the outcomes of trimodal therapy (TMT) and radical cystectomy (RC) in the treatment of muscle-invasive bladder cancer (MIBC).
Methods: Patients treated with either TMT or RC for MIBC at our institution between January 1998 and December 2022 were included. Propensity score matching was used to compare cancer-specific survival and overall survival rates.
Results: A total of 93 patients who underwent TMT and 84 who underwent RC for MIBC were analyzed. In the TMT cohort, the pathological complete response rate was 65%; the 5-year recurrence-free survival rate, including intravesical recurrence, was 41.1%; and the 5-year bladder intact event-free survival rate was 55.8%. Using propensity score matching, 66 patients from each treatment group were selected for a comparative analysis of oncological outcomes. The 5-year distant metastasis-free, cancer-specific, and overall survival rates were 64.3% and 51.8% (P=0.096), 83.3% and 69.2% (P=0.104), and 77.8% and 64.2% (P=0.274) for TMT and RC, respectively. Subgroup analyses revealed that TMT for primary tumors significantly improved cancer-specific survival rates compared with RC. The two treatment types had similar adverse events related to hematologic toxicity during perioperative chemotherapy.
Conclusion: TMT exhibited oncological outcomes comparable to those of RC in the treatment of MIBC, indicating that TMT provides favorable outcomes, particularly in cases of primary MIBC.
Validating YOLOv8 and SAM Foundation Models for Robust Point-of-Care Ultrasound Aorta Segmentation
Authors: Pandey Sumit , Lu Chia-Wei , Tan Cher-Ming , Tsui Po-Hsiang , Dam Erik B. , Chen Kuan-Fu
Published: June 2024

This paper investigates six deep-learning models for segmenting the short axis of the abdominal aorta in point-of-care ultrasound (POCUS) images. A total of 724 images from 175 adult patients were collected from various perspectives in a remote area. The dataset was split into three sets: 510 images (146 patients) for training, 74 images (from 17 patients) for validation, and 140 images (18 patients) for testing. The six deep learning models utilized in this research were UNet, Attention UNet, Res-UNet, Res-Attention UNet, YOLO (You Look Only Once), and a combination of YOLO with the Segment Anything model (SAM). The models were trained on the training dataset and during training hyperparameters were selected based on the models' performance on validation set. Res-Attention UNet achieved the highest Dice Similarity Score (DSC) on the training Dataset, (0.907) and the validation dataset (0.858). However, YOLO stood out as the top model with a DSC of 0.857 on the testing dataset, showing a reliable and effective segmentation performance. Furthermore, the models were additionally evaluated on an independent dataset of 375 images from 375 patients with mean DSC were YOLO + SAM: ​0.763, YOLO: 0.759, UNet: ​0.666, ResUNet: 0.618, Attention UNet: ​0.687, and Res Att. UNet:​0.693.​ When trained with 50% of the data, YOLO models significantly outperform UNet models, with the addition of SAM to YOLO (YOLO + SAM) only marginally affecting performance. The paper also introduces a user-friendly web-based Aorta segmentation tool, aiming to enhance reader’s experience by performing hands-on experiments on YOLOv8 model.
Infection Prevention Practices and Associated Factors among Healthcare Workers (HCWs) in Hospitals of Harar, Town, Ethiopia.
Authors: Endalew Salie mulat , Melake Bealemlay Abebe , Tolera Sina Temesgen , Temesgen Liku Muche , Alamerew Tamagnu Sintie , Mehari Molla Getie
Published: June 2024

Introduction:
Infection prevention encompasses all policies, procedures, and activities designed to prevent or minimize the risk of infectious diseases being transmitted at healthcare facilities. To the best of the investigators' knowledge, no study has been done on infection prevention practices and related factors among healthcare professionals in the study region of Harar town, Eastern Ethiopia. As a result, this research will help close these gaps and define the extent of the issues.
Method
Institutional based cross-sectional study was conducted from June 7- July 7, 2023, among 268 healthcare workers hospitals of Harar town. The stratified random sampling method was used. To collect data self-administered questionnaires were used. The presence of associations between variables with 95% confidence intervals (CIs) was examined by performing bivariate analysis and multivariate logistic regressions. Variables with a P value less than 0.05 were considered significant.
Result
268 Healthcare workers participated with a 95.03% response rate. from the total (57. 2%) of respondents had good knowledge about infection prevention practices. Knowledge (AOR = 2.6 (95% CI: 1.3–9.9), attitude (AOR = 1.97 (95% CI: 1.8–6.9)), having IPC guidelines (AOR = 1.99 (95% CI: 1.2–10.2), and training (AOR = 2.0 (95% CI: 1.21–8.6) were significantly associated with infection prevention practices.
Conclusion
According to this study, more than half of health care workers had good infection prevention practices. Variables such as knowledge, attitude, having IPC guidelines, and training was significant associated with infection prevention practices. Hospitals need to continuously train HCWs to improve their knowledge and practice regarding infection prevention activities.
Ultrasonography Sliding Sign as a Predictor for Intraabdominal Adhesions in Repeated Cesarean Deliveries: Retrospective Cohort Study
Authors: Yavuz Onur , Atlihan Ufuk , Ata Can , Avsar Huseyin Aytug
Published: June 2024

Background: Our objective was to evaluate the ultrasonography sliding sign with enhanced reliability using an interobserver approach, with the aim of predicting standardized intra-abdominal adhesions before cesarean section.
Methods: Between January 2022 and January 2024, this retrospective cohort study included 350 individuals who underwent cesarean section. Data from 198 participants who met the inclusion criteria were analyzed. Analyzes were made with SPSS 26.0. The Mann-Whitney Uitest was employed to assess variables that were not normallyidistributed. Chi-squareitest and Fisheriprecision test were employed in the categoricalidata analysis. These were presented as counts and percentages (%). An inter-rater reliability analysis was performed for ultrasonography sliding sign finding. For this purpose, the Cohen’s Kappa was calculated. Receiver operatingicharacteristic analysis was used to determine the area under theicurve, which indicates the average sensitivity of ultrasonography sliding sign finding. There was a 95% confidenceiinterval for the results. A p-value of less than 0.05 was deemedistatistically significant. To assess slidingxsigns, all pregnant participants received transabdominalxultrasonography. The study achieved triple blinding: both sonographers were blinded to surgical findings, the surgeon remained blinded to ultrasound findings, and the data analyst was blinded to both sonographic and surgical findings. According to the Nair's modified scoringisystem, the cases were classified as Group 1 (Adhesions present [Grade ≥ 1]; n=107, 54%) and Group 2 (No adhesions [Grade 0]; n=91, 46%).
Results: The diagnostic value of transabdominal ultrasonography sliding sign for detecting the presence of intra-abdominaliadhesion (according to the Modified Nair’s Scoring system) yielded a 84.6% specificity and 58.9% sensitivity. A Nair's score ≥2 was identified as the cut-off point, with the sliding sign finding being statistically significant, resulting in a 70% specificity and 54% sensitivity.
Conclusion: This research validates the use of a sliding sign during transabdominal ultrasonography in pre-cesarean evaluation in patients with previous cesarean section. It has been shown that applying the adhesion scoring system categorically as well as using it numerically makes a difference by analyzing the cut-off point of Nair's score as 2. From this perspective, the reliability of the sliding sign finding in transabdominal ultrasound will be better demonstrated.
Impact of biochar on the degradation rates of three pesticides in vegetables and its effects on soil bacterial communities under greenhouse conditions
Authors: Sun Caixia , Liu Yuhong , Bei Ke , Zheng Weiran , Wang Qinfei , Wang Qiang
Published: June 2024

A 28-day pesticide degradation experiment was conducted for broccoli (Brassica oleracea L. var. italica Planch) and pakchoi (Brassica chinensis L.) with three pesticides (chlorantraniliprole (CAP), haloxyfop-etotyl (HPM), and indoxacarb (IXB)) to explore the effects of biochar on pesticide environmental fate and rhizosphere soil diversity. Rice straw biochar (RB) was applied to soil at a 25.00 t·ha−1 dosage under greenhouse conditions, and its effects on the degradation of three pesticides in vegetables and in soil were investigated individually. Overall, RB application effectively facilitated CAP and HPM degradation in broccoli by 13.51-39.42% and in broccoli soil by 23.8-74.1%, respectively. RB application slowed the degradation of CAP, HPM and IXB in pakchoi by 0.00-57.17% and slowed the degradation of CAP in pakchoi by 37.32-43.40%. The results showed that the effect of RB application on pesticide degradation in crops and soil was related to biochar properties, pesticide solubility, plant growth status, and soil characteristics. Rhizosphere soil microorganisms were also investigated, and the results showed that biochar application may be valuable for altering bacterial richness and diversity. The effect of biochar application on pesticide residues in crops and soil was influenced by the growth status of crops at first, and the second influencing factor was pesticide characteristics. Our results suggested that biochar application in soil could reduce pesticide non-point source pollution, especially for highly soluble pesticides, and could affect soil microorganisms.
Longitudinal record linked analysis of an Assertive Community Treatment programme in a suburban mental health hospital: Emergency department presentations, hospital admissions and bed days.
Authors: Stanley Susanne , Velayudhan Ajay , Hellewell Amanda , Bhatt Mitul , Isaac Mohan
Published: June 2024

Purpose
This study aimed to objectively assess a long-term Assertive Community Treatment (ACT) programme run by a suburban mental health hospital in Western Australia. The study examined the programme by tracking Emergency Department (ED) presentations, hospital admissions and length of hospital stays (bed days) of people with severe mental illness who entered the programme.
Methods
Between January 2008 - June 2019, 160 clients who attended the hospital had presentation and admission activities assessed at two time periods 1) PRE - the period from each client’s first engagement with the mental health service up to their entering the service’s ACT programme, and 2) DURING – which is the time that each client spent engaged in that ACT programme.
Results
No difference was found between ED presentations before the ACT programme as compared to during the ACT programme. Voluntary mental health hospital admissions were significantly lower during the programme than before the programme, but no difference was found for involuntary mental health hospital admissions. Both voluntary and involuntary hospital stays, however, showed a significant reduction in bed days for clients during their time in the ACT programme.
Conclusion
This data shows mixed support for the continued use of the ACT programme at suburban mental health services. While ED presentations and involuntary admissions remained the same, the reduction in voluntary hospital admissions and hospital bed days suggests that the increased provision of outpatient and home care through ACT is working to support clients in the community keeping them out of more restrictive hospital settings.
Unified Pre-training with Pseudo Infrared Images for Visible-Infrared Person Re-identification
Authors: Liu ZhiGang , Hu Yan
Published: June 2024

In the pre-training task of visible-infrared person re-identification(VI-ReID), two main challenges arise: i) Domain disparities. A significant domain gap exists between the ImageNet utilized in public pre-trained models and the specific person data in the VI-ReID task. ii) Insufficient sample. Due to the challenge of gathering cross-modal paired samples, there is currently a scarcity of large-scale datasets suitable for pretraininge. To address the aforementioned issues, we propose a new unified pre-training framework (UPPI). Firstly, we established a large-scale visible-pseudo infrared paired sample repository (UnitCP) based on the existing visible person dataset, encompassing nearly 170,000 sample pairs. Benefiting from this repository, not only are training samples significantly expanded, but pre-training on this foundation also effectively bridges the domain disparities. Simultaneously, to fully harness the potential of the repository, we devised an innovative feature fusion mechanism(CF 2) during pre-training. It leverages redundant features present in the paired images to steer the model towards cross-modal feature fusion. In addition, during fine-tuning, to adapt the model to datasets lacking paired images, we introduced a center contrast loss(C 2). This loss guides the model to prioritize cross-modal features with consistent identities. Extensive experimental results on two standard benchmarks (SYSU-MM01 and RegDB) demonstrate that the proposed UPPI performs favorably against state-of-the-art methods.
UTFormer: A UAV Sensing-based Triple Attention Transformer Network for Semantic Segmentation
Authors: Liu Da , Long Hao , Liu Zhenbao
Published: June 2024

Compared to the common urban landscape semantic segmentation, with the impact of flight altitude, UAV image semantic segmentation is more challenging because small targets have a very low percentage of pixels and multi-scale features. Yet, the commonly used successive grid downsampling strategy in the current transformer-based methods omits features of small targets. Furthermore, it leads to even worse results due to the complex background interference. In reaction to this, existing strategies aim to maintain superior resolution. Nevertheless, the application of this method incurs significantly high computational costs which brings challenges to the application of assembling UAVs. So it is significant to design a novel framework to balance retaining more pixels representing small objects during downsampling and fewer computational costs. For this, we propose a UAV Sensing-based Triple Attention Transformer Network (UTFormer), which reduces complexity and enhances the segmentation of small targets simultaneously. During the overlap embedding of feature maps, the model utilizes channel attention to allocate half of the channels for global attention while adaptively selecting important semantic information from the remaining for local attention. So this triple attention strategy not only optimizes computational resources but also improves the model's ability to handle the diverse challenges presented by UAV imagery, ensuring accurate segmentation across varied object scales and densities. Our method shows superior performance on two public datasets: AeroScapes and Vaihingen, achieving 75.57\% and 78.93\% mean intersection over union. The proposed UTFormer has been released on Github:https://github.com/leoda1/UTFormer.
The Impact of Gelatin on the Electrodeposition Behavior and Microstructure of Copper in Industrial Electrolyte Solutions
Authors: Xu Yangtao , Li Yanhong , Du Haiyang , Zhong Zhiqiang , Peng Yin
Published: June 2024

With the advancement of technology and the rapid rise of the battery industry, the demand for high-quality copper is gradually increasing. Additives can refine the grain structure of the deposition layer and improve the electrocrystallization behavior, thereby optimizing the structural and physicochemical properties. Gelatin, as an important additive, has a significant impact on the electrocrystallization behavior and microstructure of copper in industrial electrolytes. It regulates the copper electrodeposition process through mechanisms such as adsorption, nucleation, and complexation, enhancing the structure and performance of the deposition layer. This study employs linear sweep voltammetry (LSV), cyclic voltammetry (CV), and chronoamperometry (CA) to investigate the effect of gelatin on the electrocrystallization behavior of copper in industrial electrolytes. Scanning electron microscopy, backscattered electron diffraction, and X-ray diffraction are used to analyze the microstructure, grain size, and preferred orientation of the copper deposition layer, exploring the influence of the organic additive gelatin on the grain refinement and crystal growth orientation of the copper deposition layer in industrial electrolysis.The results show that the addition of gelatin causes a negative shift in the copper deposition potential, increases cathodic polarization, reduces nucleation relaxation time, and refines the grains in the copper deposition layer. However, gelatin does not change the nucleation or growth mechanism of copper. At a gelatin concentration of 60 mg·L-1, the overpotential is at its maximum, the nucleation rate is the fastest, and the grain size of the deposition layer is minimized to 0.69 µm with a surface roughness of 199 nm. The deposition layer exhibits dual orientation growth of the (200) and (111) crystal planes, preventing coarse grain growth in a single direction. Therefore, the optimal concentration of gelatin in industrial electrolytes is 60 mg·L-1, which can significantly improve the quality of electrolytic copper and meet industrial production requirements.
Spatial and Temporal Variability Mapping of Future Flood Hazard Affected by Climate and Land-use Changes in Kendari City, Indonesia
Authors: Aldiansyah Septianto , Wardani Farida , Saputra Randi Adrian , Wahid Khalil Abdul , Madani Ilyas , Setiyo Duwi Setiyo Wigati , Pambudi Bayu Prasetyo , Ramadhan Aditya
Published: June 2024

Introduction
The predictions of current and future flood risk in the Kendari City Southeast Sulawesi Province, Indonesia.
Methods
In estimating this phenomenon, 51 flood and non-flood locations were identified and mapped. A total of 20 flood risk factors were selected to model flood risk using several machine learning techniques: classification and regression tree (CART), support vector machines (SVM), multivariate discriminant analysis (MDA), and ensemble. In exploring the impact of climate change and land use changes in the future (2050) on future flood risk, the General Circulation Model (GCM) with representative concentration pathways (RCPs) of the 2.6 and 8.5 scenarios by 2050 was adopted to understand the impact on 8 variables rainfall. In addition, the CA-Markov model was also applied to future land use in 2050. To validate it, Receiver Operating Characteristic-Area Under Curve (ROC-AUC) statistical analysis and other statistical analyses were carried out.
Result
The ensemble model shows the performance of the AUC value with the highest prediction (AUC = 0.99) and is followed by SVM (0.99), MDA (0.97), and then CART (0.96). It is estimated that areas with moderate to very high risk of flooding will increase as a result of changes in climate and land use by 2050. As a result of these changes, areas classified as having moderate to very high-risk increase from the four models. The proportion of risk zone areas from the current distribution to 2050 in the RCP 2.6 scenario changes in the ensemble model. Very low = + 36.76%, Low=-17.14%, Moderate=-14.53%, High=-2.56%, and Very high=-2.53%. However, this change becomes more significant in the RCP 8.5 scenario from the current percentages: Very low=-0.001%, Low=-12.78%, Moderate = + 2.14%, High = + 6.12%, and Very high = + 4.52%. The results of this research can help stakeholders in disaster mitigation efforts.
Versatile multimode fiber network with high capacity enabled by deep learning
Authors: Xiao Qirong , Zhang Hailong , Wang Lele , He Zhaofan , Cai Xin , Meng Yuan , Ma Jianshe
Published: June 2024

In the realm of spatial information transmission in multimode fiber (MMF), the MMF-based endoscopes and information encryption technologies have garnered considerable attention. However, existing designs are limited to establishing a single connection between one input node and one output node, thus constraining the capacity and application scenarios of MMF spatial information transmission. Here, we demonstrate a new concept of MMF-based physical networking for spatial information transmission, and develop a physical model and implementation method for establishing multi-node networking with various topological structures via cascading MMFs.We experimentally verify the feasibility of parallel transmission of spatial information at multiple nodes in an exemplary three-node MMF network with chain topology, showcasing its capability in transmitting color images through "node multiplexing" with significantly enhanced communication security through long-distance reprogrammable optical encryption. Designing MMF networks based on different node quantities and topological structures can significantly expand the scenarios for MMF spatial information transmission, providing valuable paradigms for various applications such as minimally invasive panoramic endoscopy, low-cost distributed sensing, and scaling optical reservoir computing.
Comparative investigation of commercially available Anti-bacterial creams for their efficacy against different bacterial strains.
Authors: Patel Parthika
Published: June 2024

Antibacterial creams come in a wide variety, with varying concentrations, prices, levels of activity, active ingredients, and excipients. Based on their ability to suppress the chosen bacterial strains (S. aureus, E. coli, B. subtilis, P. vulgaris) four different commercial antibacterial creams were evaluated as the most popular ones. There were two types of creams: one with gentamicin sulfate and the other with framycetin sulphate. The combination medicine creams included silver sulfadiazine, miconazole nitrate, neomycin sulfate, and chlorhexidine gluconate. In addition to being commonly utilized due to their antibacterial properties, the chosen bacterial strains are principally responsible for the majority of human illnesses and skin disorders. The study explains the four creams that were utilized, how economical they were, how well they worked against various bacterial strains, and how efficient they were whether applied singly or in combination. It also aids in determining which cream performs the best overall. In the antibacterial experiment, the disk diffusion method was used to use all four of the creams. Out of the four antibacterial creams, the study indicates that gentamicin had the highest efficacy. Among the three drugs that make up cream, gentamicin is the most economical and has the biggest zone of inhibition of all four creams combined. This study improves our knowledge of the best cream while also educating pharma providers regarding the advantages of creams.
Uma primeira visão contextual do tratado inglês The Compleat Surveyor: Containing the whole Art OF Surveying for Land (1657), de William Leybourn
Authors: Soares Kawoana da Costa , Pereira Ana Carolina Costa
Published: June 2024

Estudos relacionados à História da Matemática, vem crescendo desde as duas primeiras décadas do século XXI. No Brasil, pesquisas realizadas nos últimos dez anos, retomam o saber/fazer contidos em tratados escritos por praticantes das matemáticas entre os séculos XVI e XVII que possuem foco em conhecimentos matemáticos práticos ligados a instrumentos. Um deles é o The Compleat Surveyor, publicado em 1657, por William Leybourn (1626-1716), que desenvolveu instrumentos ligados a agrimensura e ao levantamento de terra, dentre eles, o Plain Table, o Theodolite, o Circumferentor e o Paractor. Esse estudo tem o intuito de apresentar uma primeira análise a respeito do autor e do tratado destacando alguns aspectos contextuais e historiográficos. Para isso, utilizamos a metodologia qualitativa de cunho documental baseado no tratado original e em documentos secundários que já foram estudados por pesquisadores da área. Dessa forma, foi possível observar através da investigação do texto, desde a incorporação de instrumentos matemáticos, a aplicação das geometrias, uma nova forma de interpretar e resolver problemas de ordem prática, utilizando o saber e o fazer dos agrimensores da época. Assim, consideramos que os conhecimentos matemáticos contido no documento, possui possíveis potencialidades a serem trabalhadas na formação inicial do professor de matemática.
Management of inter-municipal consortia for the brazilian basic education system using school census data and artificial intelligence algorithms
Authors: Zancan Claudio , Passador João Luiz , Passador Claudia Souza
Published: June 2024

The aim is to integrate data from the INEP School Census and Python algorithms in the shared management of inter-municipal consortia for the Brazilian basic education system. Variables from the School Census of schools, students, and management activities were utilized, leveraging them to forecast future scenarios. The outcomes encompassed Python algorithms for decision-making concerning the planning of school network expansion and distribution, optimized allocation of human resources, as well as strategies for preventing school dropout, along with future scenarios for each algorithm category generated.
Sweet Condensed Milk: Effect of Critical Storage Conditions on Metal Can Seams
Authors: Kruchinin Alexandr , Bolshakova Ekaterina , Illarionova Elena , Turovskaya Svetlana , Barkovskaya Irina
Published: June 2024

Sweet condensed milk is a popular canned milk product with a high nutritional value and a long shelf-life. It boasts high domestic demand because it is used in various sectors of the food industry. In addition, canned milk is part of state reserve and military supply. Due to its unique properties, it is indispensible in the Russian Arctic and is exported to countries with hot climate. However, extreme temperatures affect both the quality of the product and the safety of metal cans. This research featured the impact of extreme storage conditions on the integrity of seams. Seams were tested for overlaps and thickness after storage at single-stage and multi-stage temperature modes in the range of -50 ºC ↔ 50 ºC. The biggest gaps were found in the samples after a single-stage temperature route of 5 ºC → 50 ºC, 14 days → -50 ºC, 14 days → 5 ºC. The seam overlaps at the lids decreased by 1.45 % after 14 days of storage and by 1.67 % after 28 days; for the bottom seams, the measurements were 1.84 and 2.26 %, respectively. The single-stage freezing had a greater negative effect on the seam quality than the longer multi-stage freezing. However, the overlap values in all experimental samples corresponded to the standard and exceeded 57.76 % for lids and ≥ 59.75 % for bottoms. All mean thickness values of lids and bottoms maintained the standard 1.43 mm. The obtained seam geometry of metal cans with sweet condensed milk will make it possible to develop transportation and storage recommendations in countries with extreme climates.
De ciudad industrial a ciudad del conocimiento: un estudio comparativo de Singapur y Medellín, mediados del siglo XX y comienzos del XXI
Authors: Arango Sánchez Luisa Fernanda , Carbonó López Laura
Published: June 2024

El siguiente artículo se presenta como un ejercicio de reflexión en un análisis comparativo de dos ciudades que, a pesar de su distancia geográfica, han concebido modelos de desarrollo similares en la búsqueda de la inserción en las dinámicas económicas globales. Para este caso en concreto, se tomaron como ejemplos a Singapur y Medellín puesto que ambas se han erigido como referentes internacionales en temas de planificación urbana y crecimiento económico. En la primera parte de este escrito se realizará un acercamiento histórico, económico y urbano tanto de Singapur como Medellín para comprender el proceso de transformación hacia lo que se conoce como «ciudades del conocimiento». Para el desarrollo de esta investigación se consideró el proceso de transición emprendido por los dirigentes de ambas urbes para abandonar el modelo económico primario y secundario y virar hacia una economía del conocimiento. Finalmente, con esta reflexión se pretende reflejar las diferencias de base entre ambas ciudades que han producido resultados diferentes: aunque el objetivo fue el mismo (propender a sociedades innovadoras), las condiciones locales, culturales, sociales y políticas permitieron que Singapur alcanzara rápidamente un desarrollo económico sin precedentes en tanto que Medellín conserva aún un desarrollo económico moderado.
papel da indexação na categorização da transexualidade e travestilidade
Authors: Tomaz Lucas Bento Oliveira dos Santos , Felipe Carla Beatriz Marques
Published: June 2024

A presente pesquisa contextualiza os estudos de gênero e aborda a história e as questões sobre travestilidade e transexualidade com intuito de fortalecer as pesquisas relacionadas à ética dentro da Organização do Conhecimento. Tem como objetivo geral identificar como a indexação influencia na recuperação da informação acerca de estereótipos de gênero. Para tal, averiguou como ocorre a representação da informação em duas bases distintas.  No sentido de verificar se os termos que representam os documentos estão em conformidade com a literatura sobre estudos de gênero. Além disso, analisou se os termos estão de acordo com o Tesauro Para Estudo de Gênero e Sobre Mulheres e o Tesauro Sobre Orientação Sexual e Identidade de Gênero. A pesquisa qualifica-se como pesquisa bibliográfica, documental e descritiva com abordagem qualitativa. Diante disso, constata-se que não houve retorno de nenhum documento que se utilizasse de termos pejorativos.
Toxic Effects of Methamphetamine on Reproductive Systems, Embryo Development, and Newborns: An Evidence-Based Review
Authors: Chen Qianqian , Wang Lan , Zhang Jinlong , Cheng Junzhe , Lin Jiang , Peng Yilin , Liu Yuhang , Zhang Changquan , Yan Jie , Niu Shuliang
Published: June 2024

Methamphetamine (METH), an amphetamine-type stimulant, has been extensively
abused globally in the past decades. METH use causes great harm to the major
systems of the human body. Specifically, METH has a negative impact on the hypothalamic-
pituitary-testicular axis, testicular structure, sperm function, ovarian folliculogenesis,
oocyte quality, embryo development, and newborns. However, the mechanisms underlying
these toxic effects have not yet been fully described. This study reviews the evidence
concerning the impact of METH on male and female reproduction in the context
of the testis, sperm, ovaries, oocytes, reproductive hormones, embryo development, and
newborns, discussing the potential pathophysiological mechanisms in the reproductive
toxicity induced by METH.
Nicotine-induced Genetic and Epigenetic Modifications in Primary Human
Amniotic Fluid Stem Cells
Authors: Upadhyaya Prabin , Milillo Cristina , Bruno Annalisa , Anaclerio Federico , Buccolini Carlotta , Dell’Elice Anastasia , Angilletta Ilaria , Gatta Marco , Ballerini Patrizia , Antonucci Ivana
Published: June 2024

Background:

Smoking during pregnancy has been linked to adverse health outcomes in offspring,
but the underlying mechanisms are not fully understood. To date, the effect of maternal smoking has been tested
in primary tissues and animal models, but the scarcity of human tissues limits experimental studies. Evidence
regarding smoking-related molecular alteration and gene expression profiles in stem cells is still lacking.

Methods:

We developed a cell culture model of human amniotic fluid stem cells (hAFSCs) of nicotine (NIC)
exposure to examine the impact of maternal smoking on epigenetic alterations of the fetus.

Results:

NIC 0.1 μM(equivalent to “light” smoking, i.e., 5 cigarettes/day) did not significantly affect cell viability;
however, significant alterations in DNA methylation and N6-methyladenosine (m6A) RNA methylation
in hAFSCs occurred. These epigenetic changes may influence the gene expression and function of hAFSCs.
Furthermore, NIC exposure caused time-dependent alterations of the expression of pluripotency genes and cell
surface markers, suggesting enhanced cell stemness and impaired differentiation potential. Furthermore, NICtreated
cells showed reduced mRNA levels of key adipogenic markers and hypomethylation of the promoter region
of the imprinted gene H19 during adipogenic differentiation, potentially suppressing adipo/lipogenesis.
Differential expression of 16 miRNAs, with predicted target genes involved in various metabolic pathways
and linked to pathological conditions, including cognitive delay and fetal growth retardation, has been detected.

Conclusions:

Our findings highlight multi-level effects of NIC on hAFSCs, including epigenetic modifications,
altered gene expression, and impaired cellular differentiation, which may contribute to long-term consequences
of smoking in pregnancy and its potential impact on offspring health and development.
Multi-functional Acyl Urea Compounds: A Review on Related Patents, Clinical
Trials, and Synthetic Approaches
Authors: Rohilla Janvi , Mishra Rakhi , Varshney Shruti , Mazumder Avijit , Mazumder Rupa , Kumar Arvind , Kaur Amrinder
Published: June 2024

:

Acyl ureas are a well-known class of organic compounds that have drawn a lot of
attention recently because of their array of chemical properties and possible multi-use in
medicine. The article summarizes the synthetic procedures used to produce various Acyl
urea synthons and includes instances of clinical trials, patents, and commercialized medications
having Acyl urea and N-acyl urea moiety. This extensive study examines and summarizes
research on acyl urea derivatives conducted over the last 20 years from a variety of
sources, including PubMed, Google Scholar, and Google Websites. When it comes to the
discovery of new chemicals, urea derivatives still require attention compared to other acyl
compounds. This review paper aims to provide a comprehensive overview of the various
synthetic approaches utilized in the design of an array of acyl ureas to accomplish the same
goal. This work summarizes information related to several heteroatom-fused acyl urea compounds, which fortunately
will be a very useful resource for chemists and scientists who are interested in acyl urea synthesis and its
applications in chemistry.
Significance of Ribonucleoside-diphosphate Reductase Subunit M2 in Lung Adenocarcinoma
Authors: Wang Xiao-Jun , Huo Yun-Xia , Yang Peng-Jun , Gao Jing , Hu Wei-Dong
Published: June 2024

Introduction:

The Ribonucleoside-diphosphate Reductase subunit M2 (RRM2) is known to be overexpressed in various cancers, though its specific functional implications remain unclear. This aims to elucidate the role of RRM2 in the progression of Lung Adenocarcinoma (LUAD) by exploring its involvement and potential impact.

Methods:

RRM2 data were sourced from multiple databases to assess its diagnostic and prognostic significance in LUAD. We evaluated the association between RRM2 expression and immune cell infiltration, analyzed its function, and explored the effects of modulating RRM2 expression on LUAD cell characteristics through laboratory experiments.

Results:

RRM2 was significantly upregulated in LUAD tissues and cells compared to normal counterparts (p < 0.05), with rare genetic alterations noted (approximately 2%). This overexpression clearly distinguished LUAD from normal tissue (area under the curve (AUC): 0.963, 95% confidence intervals (CI): 0.946-0.981). Elevated RRM2 expression was significantly associated with adverse clinicopathological characteristics and poor prognosis in LUAD patients. Furthermore, a positive association was observed between RRM2 expression and immune cell infiltration. Pathway analysis revealed a critical connection between RRM2 and the cell cycle signaling pathway within LUAD. Targeting RRM2 inhibition effectively suppressed LUAD cell proliferation, migration, and invasion while promoting apoptosis. This intervention also modified the expression of several crucial proteins, including the downregulation of CDC25A, CDC25C, RAD1, Bcl-2, and PPM1D and the upregulation of TP53 and Bax (p < 0.05).

Conclusion:

Our findings highlight the potential utility of RRM2 expression as a biomarker for diagnosing and predicting prognosis in LUAD, shedding new light on the role of RRM2 in this malignancy.
Systematic Detoxification of Copper-induced Toxicity by Methanolic Extracts of Anacyclus pyrethrum (L) in Zebrafish Model
Authors: Suresh Vineesh , S.I Kirankumar , A. Shahjahan , Jamuna Sankar , Rangasamy Kirubakaran , Macrin Dannie , Aruljothi K.N.
Published: June 2024

Introduction:

Anacyclus pyrethrum is used in Ayurveda to treat various ailments, ranging
from toothache to female infertility. However, the molecular mechanisms of its medicinal properties
are obscure and need exploratory studies.

Method:

We aimed to investigate the molecular mechanisms associated with the medicinal properties
of A. pyrethrum using zebrafish as an in vivo model. We have employed in silico, in vitro, and in
vivo approaches to elucidate the anti-inflammatory, antioxidant, and cytoprotective functions of the
methanolic extracts of A. pyrethrum. In silico analyses were carried out using Prediction of Activity
Spectra for Substances (PASS), Molecular Inspiration, Swiss Absorption, Distribution, Metabolism,
Excretion and Toxicity - ADME (SWISSADME), Absorption, Distribution, Metabolism, Excretion,
and Toxicity - Structure-Activity Relationship(ADMETSar) and molecular docking tools to prove
the anti-inflammatory effects of the bioactive components of A. pyrethrum.

Results:

Our results indicate that the bioactive components of A. pyrethrum have pharmaceutical
properties with high intestinal absorption and greater bioavailability. Further, in vitro and in vivo
results support the anti-inflammatory, antioxidant, and antitoxic effects of methanolic extract of A.
pyrethrum via suppressing the levels of the inflammatory and Reactive oxygen species biomarkers,
including Lactate Dehydrogenase, Myeloperoxidase, Nitric Oxide, and Lipid peroxidase respectively.

Conclusion:

The results obtained from three different approaches in this study highlight the potential
anti-inflammatory, antitoxic, and antioxidant effects of A. pyrethrum.
Bekend maakt bemind : Het belang van goede relaties in de geboortezorg
Authors: De Jonge Ank
Published: June 2024

De tekst "Bekend maakt bemind" door prof. dr. Ank de Jonge richt zich op de toepassing van de Ubuntu-filosofie binnen de geboortezorg. Ubuntu, een Zuid-Afrikaanse filosofie, benadrukt het belang van menselijkheid en onderlinge verbondenheid: het welzijn van een individu is nauw verbonden met het welzijn van anderen. De Jonge stelt dat deze filosofie kan bijdragen aan betere relaties en daarmee betere zorguitkomsten. Ze vergelijkt deze benadering met het individualisme in Europa, waarbij zelfontplooiing centraal staat, maar wat vaak kan leiden tot eenzaamheid en ongelijkheid. De Jonge pleit voor een meer relationele benadering in de geboortezorg, waar zorgverleners niet alleen focussen op het verlagen van sterfte en ziekte, maar ook op het opbouwen van goede relaties met de vrouwen die ze ondersteunen. Ze benadrukt het belang van cultuur responsieve zorg en sociale verloskunde, waarin de leefomstandigheden van kwetsbare vrouwen worden verbeterd en ze in staat worden gesteld zelf gezonde keuzes te maken. Het doel is om zorg te bieden die niet betuttelend is, maar vrouwen in hun kracht zet en hun autonomie respecteert.
It Is in Our DNA: Bringing Electronic Health Records and Genomic Data Together for Precision Medicine (Preprint)
Authors: Robertson Alan J , Mallett Andrew J , Stark Zornitza , Sullivan Clair
Published: June 2024

UNSTRUCTURED

Health care is at a turning point. We are shifting from protocolized medicine to precision medicine, and digital health systems are facilitating this shift. By providing clinicians with detailed information for each patient and analytic support for decision-making at the point of care, digital health technologies are enabling a new era of precision medicine. Genomic data also provide clinicians with information that can improve the accuracy and timeliness of diagnosis, optimize prescribing, and target risk reduction strategies, all of which are key elements for precision medicine. However, genomic data are predominantly seen as diagnostic information and are not routinely integrated into the clinical workflows of electronic medical records. The use of genomic data holds significant potential for precision medicine; however, as genomic data are fundamentally different from the information collected during routine practice, special considerations are needed to use this information in a digital health setting. This paper outlines the potential of genomic data integration with electronic records, and how these data can enable precision medicine.
Лікування тортоаномалій при скупченості зубів з досягненням високої стабільності результатів
Authors: Zhachko N.I. , Skrypnyk I.L.
Published: June 2024

Метою дослідження було удосконалення методів лікування тортоаномалій при скупченості зубів з використанням циркулярної супракрестальної (надгребінної) фібротомії (ЦСФ) у пацієнтів віком від 16 років і визначення впливу ЦСФ на ясенне з’єднання при лікуванні тортоаномалій незнімною ортодонтичною мультибондинговою апаратурою для забезпечення довготривалого стабільного результату. Матеріали та методи. Для цього ми обстежили 37 пацієнтів віком від 16 років, які лікувалися за допомогою незнімної мультибондингової апаратури. Середній вік пацієнтів на початок лікування в групі ЦСФ і конт-рольній групі становив 17,1 ± 1,4 року і 15,7 ± 1,8 року відповідно. Середній термін лікування становив 20,3 ± 4,7 місяця для групи ЦСФ і 23,7 ± 1,8 місяця для контрольної групи. Усі 37 пацієнтів використовували незнімні апарати, доки не сформувалися нейтральне співвідношення між першими постійними молярами й оптимальний прикус у фронтальній ділянці. З них 17 пацієнтам виконали циркулярну супракрестальну фібротомію на фронтальній ділянці верхньої та нижньої щелепи за 5 тижнів до зняття незнімної апаратури, 14 пацієнтів становили контрольну групу. 5 пацієнтів досліджуваної групи із ЦСФ і 6 пацієнтів конт-рольної групи отримували лікування з видаленням премолярів. Метод фібротомії включав розсічення вестибулярних і лінгвальних транссептальних волокон, напівциркулярних волокон, розташованих між цементом і альвеолою, і різноспрямованих волокон, натягнутих між цементом одного зуба і вільним ясенним краєм проксимального сусіднього зуба. Так, під час ЦСФ сприйнятливі до розсічення інтергінгівальні, трансгінгівальні, транссептальні й напівциркулярні волокна розсікають. Стан пародонта в усіх пацієнтів на момент оперативного втручання був у межах норми, перед оперативним втручанням було проведено санацію порожнини рота й процедури професійної гігієни порожнини рота. Результати. Після лікування зміни нахилу різців нижньої та верхньої щелепи були мінімальними. Висновки. Клінічні результати свідчать про те, що ЦФС ефективна в профілактиці рецидивів тортоаномалій і при лікуванні скупченості зубів протягом періодів ретенції 6 місяців і 1 рік. Існує також імовірність того, що рецидив може відбутися і в більш пізні роки, особливо в зубній дузі на нижній щелепі. Скупченість зубів може збільшуватися незалежно від методу лікування в усіх ортодонтичних пацієнтів у зв’язку з нормальним процесом росту. Профілактика ранніх рецидивів тортоаномалій за допомогою ЦСФ запобігає пізньому рецидиву і призводить до більш стійкого стабільного довгострокового результату лікування тортоаномалій при скупченості зубів.
Творчий шлях професора Галини Федорівни Білоклицької.До 60-річчя кафедри терапевтичної стоматології Національного університету охорони здоров’я України імені П.Л. Шупика
Authors: Kopchak O.V. , Pavlenko E.M. , Savchenko M.V.
Published: June 2024

Стаття присвячена багатогранній професійній та громадській діяльності професора Галини Федорівни Білоклицької. Г.Ф. Білоклицька — доктор медичних наук, професор, заслужений діяч науки і техніки України, лікар-стоматолог вищої кваліфікаційної категорії, президент Всеукраїнської громадської організації «Асоціація лікарів-пародонтологів України», член правління громадської організації «Асоціація стоматологів України», асоціативний член Європейської федерації пародонтологів. Висвітлено творчий шлях видатного науковця.
Extraction of Phytochemicals from Pomegranate Peels: A Sustainable Approach
Authors: Patil Sunita , Joshi Shreya , Sutar Prapti
Published: June 2024

Abstract: Pomegranate (Punica granatum), often referred to as the ‘Tree of Life,’ is known for its extensive pharmacological properties. The peels of this fruit, typically considered waste, are rich in phytochemicals that offer numerous health benefits, including antioxidant, anticancer, antibacterial, and anti-aging properties. Despite the known benefits, pomegranate peels are often discarded due to their bitterness and high fibre content. This represents a missed opportunity to harness their valuable phenolic compounds. This study aimed to evaluate the total phenolic content (TPC) of pomegranate peel extract and to investigate effect of parameters like solvent type, particle size, and temperature on TPC yield. Methanol was found to be the most effective solvent, with total phenolic content of 27.11 mg GAE /g plant material due to its polar nature. The optimum particle size for extraction was determined to be 400 mm and temperature was identified as 50 °C, yielding a higher phenolic concentration. This study demonstrates the significant potential of pomegranate peels as a source of valuable phenolic compounds. By optimizing the extraction parameters, we can maximize the yield of these compounds, contributing to sustainable practices and reducing waste.
Sunwise: Intelligent Solar Tracking for Increased Yield
Authors: Joshi Anita , Wagh Sayali , Waghmode Jagdish , Wagh Maithili , Waghmare Anjali , Wagatkar Sunit
Published: June 2024

Abstract: Solar energy is incredibly important as it is a clean, renewable, and abundant source of power. Automatic solar trackers create a significant impact by increasing the energy production of solar panels, making renewable energy more efficient. They help maximize the use of solar power and contribute to a greener and sustainable future. By tracking the movement of the sun throughout the day, these trackers ensure that the panels are always facing the sun directly, capturing the maximum amount of sunlight. By optimizing energy production, these trackers contribute to the wider adoption of solar power, making it more cost-effective and sustainable. It's an exciting technology that helps harness the full potential of solar energy. In this paper, we have studied and implemented the dual-axis solar tracking system, which aligns the solar panel in the direction of maximum intensity of sunlight in both horizontal and vertical directions with the help of various sensors and motors. While a single-axis tracking system can only track one direction. Our focus in this paper is mainly on designing and forming a prototype for a dual-axis solar tracking system based on an Arduino microcontroller along with basic concepts of solar panels and their uses.
Exposure Of Positive Integer Solutions to an Equation Comprising Kaprekar Numbers
Authors: Pandichelvi V. , Umamaheswari B.
Published: June 2024

Abstract: In this manuscript, the technique of evaluating all possible positive integer solutions to the Kaprekar number and an even perfect number of base 2 based on an equation ࢒ ࢽ࣓ = ࢼ࢓ + ࢻ is enlightened. Abstract: In this manuscript, the technique of evaluating all possible positive integer solutions to the Kaprekar number and an even perfect number of base 2 based on an equation is enlightened.