Miracle-dz/UniFAR-FTUs huggingface dataset:
Antireflux Ureteral Stents Prevent Stent-Related Symptoms: A Meta-Analysis of Randomized Controlled Trials

Ureteral stents are widely used in urological care, but they are often associated with adverse stent-related symptoms (SRS), such as painful urination, elevated urinary frequency, and abdominal discomfort. Antireflux ureteral stents have been developed to reduce stent-related pain and reflux by minimizing vesicoureteral reflux (VUR). This systematic review and meta-analysis of randomized controlled trials (RCTs) was undertaken to assess the efficacy of antireflux ureteral stents in mitigating SRS compared to conventional urethral stents. Our study included a total of 269 cases from three RCTs. The meta-analysis showed that antireflux ureteral stents were significantly more effective than standard stents in reducing SRS, including stent-related pain (odds ratio (OR): 4.80, 95% CI: 2.77, 8.31, p <0.00001), severe stent-related pain (OR: 8.35, 95% CI: 2.12, 32.89, p=0.002), flank pain while urinating (OR: 5.98, 95% CI: 3.35, 10.68, p <0.00001), and severe flank pain while urinating (OR: 15.79, 95% CI: 2.91, 85.57, p=0.001). There was no significant difference in the rates of postoperative creatinine abnormality or postoperative hydronephrosis between the two groups. Therefore, antireflux ureteral stents are more effective than standard stents in reducing SRS. This suggests that antireflux ureteral stents should be considered for patients undergoing ureteral stenting.
The nitrogen and phosphorus budget of Flanders: a tool for efficient waste management and nutrient recovery

The region of Flanders in Belgium is, due to its high population density, intensive industry and livestock production, a nutrient-rich region. This results in important anthropogenic emissions to the environment, but also a large potential for the recovery and reuse of nitrogen (N ) and phosphorus (P) from waste streams. In this study, a substance flow analysis study for N and P is presented, in which the anthropogenic fluxes, stocks and hot spots of these two nutrients are quantified throughout the Flemish economy and environment. The environmental impact of the different economic sectors is addressed through the determination of the N and P footprint. The importance of food production in the nutrient cycle is thereby demonstrated through the large contribution of agriculture to the nutrient footprint (49% of N and 36% of P). Further focus is placed on the nutrient use efficiencies across the different sectors of the food supply nexus to target key nutrient losses and inefficiencies. This leads to an overall fertilizer-to-consumer efficiency of 14% for N and P, with the main nutrient losses originating from livestock production and food processing. At the end of the production and consumption chain, important nutrient quantities are embedded in concentrated waste streams such as excess manure, food processing waste streams and activated sludge. This demonstrates the large potential for nutrient recovery as a tool to improve nutrient use efficiencies and reduce the dependency of inorganic fertilizers. Several nutrient recovery strategies, both physicochemical and microbial, were evaluated for their economic feasibility and their impact on the primary energy demand of the total food supply chain.
Management of Tensions in Bangladeshi Social Enterprises within Institutional Plurality: A Resource-Based View

This paper examines the nature of managerial tensions that may result in hybrid social enteprises (SEs) due to co-existence of values and influences from pluralistic institutional domains. The paper also explores how such organisations mobilise resources and capabilities in order to respond to internal tensions. The study adopts a multiple case study approach, collecting data from nine Bangladeshi SEs. The study identifies a number of competing pressures originating from multiple institutional domains, which have affected the way they accomplished their dual value and approval from multiple stakeholders. This interplay between SEs’ dual goals and institutional influences led to seven different tension types inside the studied cases. The management of these tensions, at the strategic level, involved five different responses: (i) forced adoption/coercive adoption, (ii) proactive response, (iii) adapt, (iv) influence, and (v) side-stepping. At the functional level, this involved orchestration of SEs’ resources and capabilities in a particular way.
Prevention of Combat-Related Infections: A Review of the Literature

Context: Combat-related injuries remain prevalent on the battlefield despite advances in personal protective armor. Infections following these injuries pose a significant concern. Evidence Acquisition: We used a combination of keywords, including "combat" OR "military", "wound" OR "injury", "infection," and "prevention", to identify relevant articles from major databases, including PubMed/MEDLINE, Web of Science, and Scopus. Results: Infection risk correlates with the extent and location of the injury. Severe open fractures and penetrating abdominal injuries carry a higher risk of infection than abrasions, blunt traumas, burns, or closed injuries, which are often infection-free. Combat-related infections can manifest early or late, with late-onset infections having a greater likelihood of multidrug resistance. Penetrating abdominal injuries are particularly susceptible to infection due to rapid bacterial colonization in the wounded area and the potential presence of drug-resistant gut microbiota pathogens. Aggressive surgical debridement, along with thorough irrigation and appropriate dressing, proves effective in infection prevention. The timely administration of prophylactic antibiotics is of utmost importance, with continued antibiotic prophylaxis in cases of delayed evacuation. Conclusions: This review provides a concise summary of current literature on combat-related injury management, emphasizing infection prevention and control strategies.
The dynamic coregionalization model in air quality risk assessment

One major role of environment agencies is to provide concise indicators about a country's air quality and its impact on population health. On the one hand, such environmental indicators must be easily understood by the public and on the other, they should be useful to compare air quality over different years. Indeed, it is important to assess whether any actions undertaken to improve air quality have been successful or not (Scott, 2007). When the sets of airborne pollutants measured at different monitoring sites are different, it is not always clear how to define daily and yearly indicators for the whole country or how to evaluate their uncertainty. Moreover, it is not straightforward to compare across years when in each year, the structure of the monitoring network (sites included), the quantity of missing data and meteorological conditions differ. In order to define a sound statistical framework within which to address the above issues, the dynamic coregionalization model introduced by Fasso and Finazzi (2010 and 2011) is considered. Based on temporal and spatial latent variables, the model is a multivariate hierarchical space-time model able to cope with missing data and with data coming from heterogeneous monitoring networks, where different pollutants may be measured at different sites. When only the temporal latent variable is considered, the model can be used to derive a daily air quality indicator for the entire region of interest. If different pollutants have different impacts on population health, then a weighted indicator can be evaluated. When a set of covariates and the latent spatial variable are also included, the model can provide either daily or yearly average concentration maps for the pollutants considered. By applying non-parametric bootstrap techniques, quantities such as the probability that a pollutant exceeds a threshold level L over a period of time at a particular point in space, the expected number of days that L has been exceeded during the year and the probability that L has been exceeded for at least N days can be evaluated. These results can then be related to population figures in order to assess population exposure and risk. This approach is illustrated using Scottish air quality data for 6 pollutants for the year 2009.
The discovery of Solenites murrayana L. et H. in Yaojie Coal Field, Gansu and its geological significance

Solenites murrayana L. et H, an important species of Ginkgophytes in Jurassic, was discovered from Yaojie Formation in the Middle Jurassic, Gansu Province. The leaves of S. murrayana were of a simple form and not bifurcate, less than 1 mm width. The epidermal structures were investigated according to experiments in lab. The main characteristics were that the upper epidermis was slightly thicker, epidermal cells were rectangle in shape, longitudinally arranged and trichome base had been seen. The lower epidermis was thinner, the epidermal cells smaller than the upper ones and it was irregular polygon in shape. The stomata were haplocheilic and generally longitudinally arranged, not connected in stomatal files. Cutinisation extent of subsidiary cells were stronger and the trichome base was slightly developed. The comparison of stomatal parameter between S. murrayana and its NLE species, G. biloba was carried out and can be used to infer palaeoatmospheric CO2 concentration in the Middle Jurassic.
MicroGlam: Microscopic Skin Image Dataset with Cosmetics

In this paper, we present a cosmetic-specific skin image dataset.1 It consists of skin images from 45 patches (5 skin patches each from 9 participants) of size 8mm*8mm under three cosmetic products (i.e., foundation, blusher, and highlighter). We designed a novel capturing device inspired by LightStage [Debevec et al. 2000]. Using the device, we captured over 600 images of each skin patch under diverse lighting conditions in 30 seconds. We repeated the process for the same skin patch under three cosmetic products. Finally, we demonstrate the viability of the dataset with an image-to-image translation-based pipeline for cosmetic rendering and compared our data-driven approach to an existing cosmetic rendering method [Kim and Ko 2018].
Anticancer Potential of Farnesol Against Human Osteosarcoma Saos-2 Cells and Human Colorectal Carcinoma HCT-116 Cells

Introduction: Increased colorectal carcinoma (CRC) and osteosarcoma prevalence, low survival rate, poor prognosis, and the limitations of existing anticancer therapies like side effects of drugs, non-specificity, short half-life, etc., pose a need for novel anticancer drugs. Farnesol, an organic sesquiterpene compound, found in the essential oils of various plants has been shown to possess antioxidant, anti-inflammatory, and anticancer properties. However, the anticancer effect of farnesol against CRC and osteosarcoma has not yet been adequately elucidated. Aim: The aim of the study was to analyze the anticancer effects of farnesol against human osteosarcoma and CRC cell lines. Materials and methods: Human osteosarcoma (Saos-2) and colorectal carcinoma (HCT-116) cell lines were procured and cultured at 37oC and 5% CO2. The cells were treated with 10, 20, 40, 60, 80, and 100 µM/ml and 20, 40, 60, 80, 100, and 120 µM/ml of farnesol for 24 hours, respectively. 3-(4,5-dimethylthiazol-2-yl)-2,5 diphenyl tetrazolium bromide assay was performed to assess the cytotoxicity of farnesol on Saos-2 and HCT-116 cells. Acridine orange/ethidium bromide staining was carried out to analyze apoptosis. 4',6-diamidino-2-phenylindole staining was done to observe the nuclear changes. Dichloro-dihydro-fluorescein diacetate staining was performed to assess the farnesol-induced reactive oxygen species (ROS)-mediated cell death. Results: Farnesol reduced the viability and proliferation of Saos-2 and HCT-116 cells in a dose-dependent manner. Farnesol was able to alter the cellular and nuclear morphology of Saos-2 and HCT-116 cells, promoting cell death. Farnesol-induced apoptosis in human osteosarcoma and colorectal carcinoma cell lines. Early apoptosis was observed in farnesol-treated HCT-116 cells. Additionally, ROS-mediated apoptotic cell death was reported in Saos-2 cells. Conclusion: Farnesol has the potential to induce cytotoxicity against human osteosarcoma and CRC cell lines.
ELABORAÇÃO DE IOGURTE COM ADIÇÃO DE EXTRATO AQUOSO DA SEMENTE DE MORINGA OLEÍFERA

RESUMO – As sementes de Moringa oleifera Lam possuem um elevado conteudo proteico e sao escassos os estudos que utilizam esta semente aplicada a sistemas alimenticios. Desta forma, este trabalho teve como objetivo analisar a adicao de 0, 5, 10 e 15mL de extrato aquoso de semente de moringa/ Litro de iogurte natural. Tambem avaliou-se o indice de sinerese durante 28 dias. Foi observado que a amostra contendo a maior dosagem de extrato de moringa foi a que apresentou menores valores de sinerese, seguida das amostras contendo 10 mL, 5 mL e por fim a amostra controle, que apresentou as maiores perdas por esse fenomeno. Sendo assim o extrato aquoso de semente de moringa demonstrou ser uma boa alternativa para promover a reducao das porcentagens de sinerese em iogurte natural.
Virtualization in Cloud Computing

Virtualization to allow large expensive mainframes to be easily shared among different application within the environments. As hardware cost went down, the need for virtualization decades. More recently, virtualization at all levels (system, storage, and network) became important again as a way to improve system security, reliability and availability, reduce costs, and provide moreover advantages. It explains the basics of system virtualization and addresses performance issues related to modelling virtualized systems using analytic performance models. A case study is illustrated to discuss over it. Therefore, the concept of virtualization needs to be understand and implement in the cloud computing systems and it would enables the us how to better use of it and make it better management of cloud. In this paper the virtualization approach in the cloud computing environment are well presented with the concept of the cloud service models. The virtualization process and implementation with their advantages are documented and the different types of virtualizations are presented with some survey on the Indian data centre and the virtualization architecture. This approach needs to be evaluated in different cloud platforms for finding the cost effectiveness in the cloud infrastructure development.
DEEP LEARNING ALGORITHM FOR CONNECTING SCIENTIFIC RECORDS AND SOCIAL PLATFORM

In the healthcare industry, professionals develop big amounts of disorganized data. The complexity of this data and the loss of computational capability lead to delays in the investigation. Nevertheless, with the advent of Deep Learning algorithms and connection to computing power such as Graphic Processor Units (GPUs) and Tensor Processing Units (TPUs), text and image processing has become usable. Deep Learning (DL) data bring about a big outcome in Natural Language Processing (NLP) and computer perception. The main purpose of this study is to build an undivided approach that can relate social platforms, literature, and scientific records to develop an approach to medicinal education for the public and experts. This study focuses on NLP in the healthcare industry and compiles data by Electronic Medical Records (EMR), medical literature, and social platforms. The framework proposed in this study is one for connecting social platforms, medical literature, and Electronic Medical Records scientific records using Deep Learning algorithms. Linking data sources requires defining the relationships between them, and finding concepts in medical texts. The National Library of Medicine (NLM) introduced the Unified Medical Language System (UMLS) and uses this system as the basis for the proposed system. The dynamic nature of a social platform can be recognized and supervised methodologies can be applied under supervision to develop conception. Named entity Recognition (NER) enables the active eradication of data or individuals by the pharmaceutical literature.
Factors Affecting the Marketing Mix and Internal Resources of Central Javanese Consumers to Purchase PTS

This study aims to analyze the influence of marketing mix factors and internal resources on the purchasing decisions of consumers in Central Java who choose higher education. A combination of descriptive and exploratory methods is used along with research factors such as marketing mix, internal resources and purchasing decisions. This study used a technique called structural equation modeling analysis. The results show that the dimensions of product, price, promotion and location contribute to the marketing mix, with the marketing mix contributing the most to promotion. At the same time, resignation factors such as personal characteristics, processes and physical conditions contribute to internal resources, and personal characteristics are the most important factors. Decisions about the type of product, form of product, brand, seller (informant), time of purchase and payment terms contribute to the purchase decision. It turns out that the most important factor is the moment of purchase. Finally, the marketing mix and internal resources contribute to purchase decisions, with internal resources having the greatest influence on purchase decisions
Two‐dimensional ageostrophic secondary circulation at ocean fronts due to vertical mixing and large‐scale deformation

[1] Ageostrophic secondary circulation (ASC) in frontal data sets have been previously diagnosed using only adiabatic versions of Omega equations. This study includes the effect of vertical mixing on such diagnostics. Modified quasi-geostrophic and semigeostrophic balance equations are examined for the existing Azores front data sets and idealized fronts in the presence of diabatic vertical mixing as well as a large-scale deformation field. The relevant dimensionless parameter representing the relative importance of large-scale deformation and vertical mixing is the inverse of the Ekman number based on the deformation rate (αH2/Ao), where α is large-scale deformation rate, H is vertical scale of the front, and Ao is the maximum vertical eddy viscosity; when this parameter is smaller than O(102), the influence of vertical mixing may be important. Other relevant parameters include Burger number, Bu, and Prandtl number, Pr. The vertical velocity in ASCs caused by diabatic mixing in all diagnostics solutions except for large Bu cases shows good agreement with the Garrett-Loder scaling. The structure of ASCs is found to be sensitive to Pr. The diagnostics of ASCs for the Azores front data set indicates that the vertical mixing intensifies the ASC in the upper ocean (∼100 m) and should not be neglected, when the large-scale deformation rate, α, is O(10−6 s−1) or smaller. The magnitude of vertical velocity in ASCs due to mixing contributions reaches ∼O(10 m d−1) with downwelling on the dense side and upwelling on the less dense side of Azores front.
Occupational Health and Safety in Urban and Peri-Urban Bangladesh: An Important Cause and Consequence of Extreme Poverty

Poor occupational health and safety damages many lives and livelihoods which impedes economic growth. Poor and unsafe work conditions are both a cause and consequence of extreme poverty. They reinforce each other negatively. The significance of occupational health and safety is particularly strong in countries like Bangladesh where it is not adequately addressed or explored. This study focuses on urban and peri-urban Bangladesh drawing from: 15 Life History (LH) interviews with people who became disabled during work, 10 in-depth interviews with vulnerable workers in high risk environments; and key informant interviews (KII) with five senior management officials in high risk workplaces. Other studies have also been consulted on occupation safety in rural and urban Bangladesh. Findings confirm that extreme poor people are not only disproportionately drawn into high risk and unhealthy jobs but also the accidents and health problems that arise from these jobs exacerbate poverty. Employers were found to be reluctant to take responsibility for workers and any support offered to injured workers was mainly done out of charity. Sub-contracting was found to be a potentially harmful practice of the business/industry owners which makes workers more vulnerable. The paper concludes that occupational health and safety in Bangladesh should be a higher priority in discussions of extreme poverty, its consequences and its solutions.
Um modelo de fluxos e localização de terminais intermodais para escoamento da soja brasileira destinada à exportação A model for flow allocation and location of intermodal terminals for the Brazilian soybean exports

The use of intermodal routes may be advantageous in several situations such as to export agricultural products. However, the possibility of reducing logistics costs depends on the existence of intermodal facilities for the transshipment and the integration between the available modes. In this context, we propose a model for flow allocation and location of intermodal terminals to support investment decisions in network infrastructure and routing. The model is closely related to the NP-hard p-median problem. Multiple levels were used to represent the flows between two terminals, and a sparse structure was used for the network matrix representation. Tests using a soybean network for exports based on secondary data were performed to verify the model consistency and to illustrate the potential of analysis of the model, while randomly generated instances were used to evaluate its computational performance using two kinds of optimization software. Resumo: A consideracao de rotas intermodais pode ser vantajosa em diversas situacoes, como nos casos de escoamento de produtos agricolas para exportacao. Entretanto, a possibilidade de reducao dos custos logisticos esta condicionada a existencia de instalacoes que permitam o transbordo de carga e a integracao entre os modais disponiveis. Nesse contexto, propoe-se um modelo de fluxos e localizacao de terminais intermodais, com o objetivo de apoiar decisoes de investimento em infraestrutura e de roteirizacao na rede. O modelo possui forte relacao com problemas de p-medianas, sabidamente NP-dificeis. Sao considerados multiplos niveis, em que cada nivel corresponde ao fluxo entre dois terminais, e uma estrutura esparsa para representacao da rede. Testes realizados com uma rede para exportacao de soja baseada em dados secundarios foram utilizados para verificar a coerencia e ilustrar o potencial de analise do modelo, enquanto instâncias geradas aleatoriamente serviram para avaliar seu desempenho computacional utilizando-se dois softwares de otimizacao. Palavras-chave: Localizacao de instalacoes. Fluxos em rede. Transporte intermodal. Logistica. Exportacao de soja.