Types Of Sources Research Articles

A microhistory of architecture historical imagination and the Bauhaus

ABSTRACT In this paper, we develop the notion of historical imagination as a methodological practice in microhistory. The relevance of microhistory for organization research goes beyond the focus on the small scale, as its methods involve tracing the sources that allow us to reconstruct lived experience. We use the Bauhaus School as a case study to illustrate how microhistorical methods and historical imagination can reconstruct the perception and impact of a novel design aesthetic in their historical context. Here we draw on ego-documents as key to historical imagination and define a related type of source, alter-documents, that report on how others are experienced by the self. By bringing historical imagination to microhistory, we introduce methodological rigor and reflexivity to the approach. Our study also contributes to a better understanding of the methodological practice of narrative construction through historical imagination and demonstrates its usefulness for understanding the aesthetic experience of architecture and space in the past.

Effects of COVID-19 pandemic on psychiatric and psychological consultation-liaison contacts in a general hospital in North-East of Italy: a retrospective study

BackgroundThe COVID-19 pandemic has prompted significant changes in healthcare, particularly affecting psychiatric and psychological Consultation-Liaison (CL) services in general hospital settings.AimTo assess the effects of COVID-19-related restrictions on utilization of psychiatric and psychological CL services in Northeast Italy during 2020, and to compare it to the use of services in the previous year (2019).MethodsThe study collected data on psychiatric and psychological consultations in 2019 and 2020 from a hospital database. It categorizes consultations by type of patient (inpatient or outpatient) and referral source (hospital wards, general practitioners, other specialists). Pandemic-related restrictions were classified as “lockdown,” “intermediate restrictions,” and “no or reduced restrictions” based on the Covid Stringency Index (CSI). Poisson regression models were employed to analyze the data.ResultsThe findings reveal a significant 28% increase in the number of psychiatric and psychological consultations in 2020. Consultations for outpatients increased by 51%, while those for inpatients decreased by 11%. However, the lockdown and intermediate restriction phases were deemed responsible of a decrease of 42.9% and 19.5% in consultations respectively.DiscussionThis study highlights the persistent psychological burden during the COVID-19 pandemic, alongside reduced CL services due to lockdown measures. Integrating telemedicine into these types of services becomes imperative for meeting patient needs during restrictions. These findings can inform policies and practices to improve effective mental health care delivery during and beyond pandemics. Future research should explore the impact of pandemic-related restrictions on mental healthcare across settings and clinical factors affecting service accessibility.

PD-Free Design of Insulation Systems: An Application to Laminated Busbars

The reliability of components of industrial electrical assets fed by power electronics might be at risk due to the type and extent of electrothermal stresses. The move of power electronics toward higher levels of voltage, switching frequency, slew rate, and specific power increases the risk of partial discharge inception and thus of accelerated extrinsic aging and premature failure. The reaction to this challenge is to embrace the concept of partial discharge-free (PD-free) design and operation. This paper presents a PD-free approach to the design of laminated busbars, considering both AC and DC insulation subsystems, and focusing on surface insulation. The availability of a recently proposed model to estimate the inception field is a key tool. The model is validated through PD measurements performed on a laminated busbar, using new automatic software that can identify the type of source generating PD. Combined with electric field calculations, the model provides estimates of the PD inception voltage which are almost coincident with the measurement results. Inception voltages in the order of 10 kV and 20 kV have been observed for AC and DC excitation, respectively. In the case of DC supply, tests at different ambient temperatures, 25 °C and 60 °C, indicate that the inception voltage does not change significantly with temperature. Disposability, scalability to any voltage/power, and capability to work, potentially, for any other type of insulation system, are interesting features of the proposed approach, which are discussed in the paper.

Efficacy of Dairy Protein and Essential Nutrient Density in Formulated Food Products for Treating Severe and Moderate Acute Malnutrition at the Community Level: A Narrative Review.

Community-based management of acute malnutrition (CMAM) relies on a food-based approach. However, a comprehensive assessment of their nutrient composition and its impact on treatment outcomes is currently lacking in the extant literature. This narrative review summarizes recent evidence on the efficacy of formulations that contain dairy protein and maintain the density of essential nutrients (type I and type II) in managing uncomplicated acute malnutrition at the community level. The literature used for the evidence synthesis was identified using a two-stage screening process. An electronic search was run on PubMed and Cochrane Library, followed by a backward snowball search to identify efficacy studies. A total of 26 efficacy studies involving food formulations used to treat uncomplicated severe and moderate acute malnutrition were identified. The review found that while more evidence favours the inclusion of dairy in formulations as efficacious in supporting recovery from malnutrition, ambiguity in the conclusive findings between dairy and non-dairy formulations remains due to the varied percentages of dairy protein in different formulations. The type of protein source used in a formulation matters, but other approaches, including fortification, can aid in maintaining the nutrient density of formulations, thereby improving the chances of recovery. However, the inclusion of high-added sugar in therapeutic formulations exceeding the WHO norms is a concern that warrants more attention. Future clinical research should assess outcomes like lean or fat mass changes to confirm the benefits of using dairy or non-dairy formulations to treat moderate and severe acute malnutrition.

Food Security Challenges for Hospital Sustainability

Background: Food security and safety are becoming major concerns worldwide. Providing food security and safety in hospitals is particularly challenging since their populations are diverse in dietary and nutritional requirements and more vulnerable to foodborne illnesses. The aim of this research is to promote hospital sustainability by addressing food security and food safety. Method: This study uses a quantitative method with a bibliometric study approach. This research has 212 articles from the Scopus database. All the documents were collected simultaneously in August 2022. The selected article encompassed the years from 2017 to 2021, including document type, publication stage, source type, language, and subject area. The data was analyzed using VOSviewer and NVivo analytical tools. Results: The results of the studies on food security and safety increased from 2017-2022 with current trends in hospital sustainability, food waste, and waste management in food. Our study has identified four clusters: hospital food services, hospital sustainability, nutrition, and food safety. Food security is positively correlated with assessment, challenges, measurement, status, and sustainability (Pearson correlation score is 1). Disease control, proper waste management, and environmental health are all associated with food safety (Pearson correlation score ±0.79-0.64). Conclusion: Food safety and security are critical to achieve hospital sustainability, therefore awareness-raising efforts must continue. It is recommended that hospital stakeholders, food service providers; public and private sectors adopt policies and guidelines to disseminate information on food safety and security concerning hospital sustainability.

Phosphate-solubilizing fungus (PSF) - mediated phosphorous solubilization and validation through Artificial intelligence computation.

Phosphate-solubilizing fungus (PSF) strain alaromyces funiculosus was investigated for phosphorus solubilization, utilizing a range of pH levels and phosphate sources, followed by data confirmation through artificial intelligence modeling. T. funiculosus strain was exposed to five different phosphate sources [Ca3(PO4)2, FePO4, CaHPO4, AlPO4, and phytin] at different pH levels (4.5, 5.5, 6.5, 7.0, and 7.5). ANOVA, Pareto charts, and normal plots were used for analyzing the data. Artificial intelligence-based multilayer perceptron (MLP), random forest (RF) and extreme gradient boosting (XGBoost) models were used for data validation and prediction. Five-fold more phosphate (P) solubility by T. funiculosus was registered as compared to the control. The maximum soluble P was found at pH 4.5 (318324 ppb) and CaHPO4 (444045 ppb). Combination of phytin × 4.5 pH yielded the highest dissolved phosphorus (1537988 ppb), followed by 127458 ppb from the control × 4.5 pH. Pareto chart and normal plot analysis showedthe negative impact of pH (B), pH × F/C (fungus/control) × P-Source (ABC), and F/C (A) factor. Whereas pH × P-Source (AC) and P-Source (C) has positive impact on P solubility. The maximum R2 scores showed the order of RF (0.944) > MLP (0.938) > XGBoost (0.899). T. funiculosus strain has a grain potential for sustainable use for different types of phosphate sources. Application AI/ML models based on different performance metrics predicted the validated the attained results. In future research, it is recommended to check the efficacy of developed strategy under field conditions and to check the impact on soil and plant.

Evaluation of the content and quality of schizophrenia on TikTok: a cross-sectional study

Schizophrenia is a common and serious heterogeneous mental disorder that has a significant health and economic impact on families and society. As the prevalence of schizophrenia increases each year, public awareness of the disorder is growing. However, it remains unclear whether the quality of information presented in these videos is satisfactory. Therefore, a comprehensive assessment of the quality and content of schizophrenia-related videos on video-sharing platforms is necessary. We screened 123 schizophrenia-related videos from the video-sharing platform TikTok that met the criteria, and evaluated and analyzed them. First, the basic information provided in the videos was recorded and analyzed. The source and content type of each video was then determined. The educational content and quality of all videos were then evaluated using three rating instruments, Modified DISCERN, Global Quality Scale, and Journal of the American Medical Association (JAMA). Videos from different sources were also compared to see if they were statistically different in terms of educational content and quality. We identified 4 categories of content for the videos. The science introduction category had the largest number of 50, and the least number of videos was etiology and causation at 15. Six categories of sources of videos were also identified: the for-profit organizations category has the lowest number of 10, the health professionals category has the highest number of 45. There was a significant correlation between video source and duration (P = 0.014). The JAMA score was significantly positively correlated with the number of video likes (r = 0.721, P < 0.001). This study evaluated the content and information quality of 123 videos related to schizophrenia on the video-sharing platform TikTok. The findings indicate that while these videos offer some valuable insights into schizophrenia, the overall quality falls short of satisfactory levels, with inadequate reliability and accuracy.

Renewable energy communities: Democratically legitimate agents in governing the energy transition?

It is crucial that the energy transition enfolds democratically, to increase its legitimacy and improve its outcomes. Although practitioners and scholars increasingly point to renewable energy communities (RECs) as legitimate agents for governing a democratic energy transition, RECs' democratic practices are poorly understood, which challenges assumptions about their legitimacy. We therefore analyzed how and to what extent democratic legitimacy is being pursued and met by RECs in their governance of renewable energy generation projects. Our comparative case study examined four different RECs in Utrecht, The Netherlands. We found that three out of the four studied RECs broadly meet the principles of energy democracy in the initial, developing and implementation phase of their energy generation projects. Significant differences between principles and RECs were found, which refutes the simplistic general assumption that RECs are either fully democratically legitimate or are not democratically legitimate at all. In reality, RECs face several trade-offs between democratic principles, which arise from the different legitimacy needs related to the REC's stage of maturity and the type of energy source it uses. To overcome these trade-offs and uphold legitimacy internally as well as with various stakeholders, RECs strategically organize participation and decision making in different governance spaces and prioritize certain specific legitimacy principles over others. Combining the concepts of energy democracy and democratic legitimacy has brought novel theoretical insights to the fore, and we recommend other researchers to further bridge these distinct but related fields of study.

The development of the water supply on the Peloponnese in Greco-Roman times

It has long been clear that the water supply in ancient Greece was transformed over time, with the relative number of various types of water sources varying in time and space. Yet, what patterns this produced has never been explored, and the degree to which trends suggested by local or qualitative studies are representative for larger areas and patterns is unknown. The root of this uncertainty lies largely in the difficulty assembling an extensive and representative material beyond individual sites or cities. Following this, the present article has two aims. The first is to test and evaluate a method for collecting an extensive and (more) representative material for the investigation of the water supply in ancient Greece on a regional scale, based on a systematic review of the material from the Peloponnese published in Archaeological Reports 1887–2012. The second aim is to discuss how the collected data can be used to explore the transformations of the water supply systems on the Peloponnese in the period 900 BC–AD 300. Together the results are intended to develop further the WaterWorks project, which aims to create a better understanding of the development of the ancient water supply. The method produced a considerably better dataset than previously available. The dataset, recorded in an Access database, suggests that some hitherto acknowledged trends are probably valid for larger areas while others are less prominent than previously believed. However, in the end, the dataset is too limited to allow firm conclusions concerning how, and to a larger degree why, the water supply system was transformed over time. The dataset will be made publicly accessible in an open access repository.

Seasonal Characteristics of Particulate Matter by Pollution Source Type and Urban Forest Type

To provide consistent air purification benefits from urban forests, it is crucial to identify common characteristics that allow for similar experimental setups. This study aimed to analyze PM10 concentrations in urban forests near pollution sources and understand their mitigation effects. Data from the Asian Initiative for Clean Air Networks, Korea, were used, focusing on three urban forests adjacent to road and industrial pollution sources in Korea, with PM10 concentrations collected during 2021. Considering high PM10 concentrations during winter and spring, these seasons were divided into two sub-periods, resulting in six seasonal periods for analysis. To address the right-skewed PM10 distribution and reduce outlier influence, the Kruskal–Wallis test was used. The results showed that “good” PM10 levels were lowest in early spring, increasing to a peak in summer before declining. High PM10 events were concentrated in spring, early spring, and early winter. The Kruskal–Wallis test indicated lower median PM10 concentrations in urban forests compared to pollution sources in the latter half of the year, while no significant median differences were found in the first half. Distribution visualizations further confirmed that even during high PM10 periods, all urban forests showed lower PM10 values compared to pollution sources. In conclusion, PM10 concentrations in urban forests were consistently lower than in pollution sources across all seasons, demonstrating their effectiveness in air purification at both road and industrial pollution sources. Future research should consider additional variables, such as PM2.5, to further explore differences between pollution sources.

A Review of Indoor Localization Methods Leveraging Smartphone Sensors and Spatial Context

As Location-Based Services (LBSs) rapidly develop, indoor localization technology is garnering significant attention as a critical component. Smartphones have become tools for indoor localization due to their highly integrated sensors, fast-evolving computational capabilities, and widespread user adoption. With the rapid advancement of smartphones, methods for smartphone-based indoor localization have increasingly attracted attention. Although there are reviews on indoor localization, there is still a lack of systematic reviews focused on smartphone-based indoor localization methods. In particular, existing reviews have not systematically analyzed smartphone-based indoor localization methods or considered the combination of smartphone sensor data with prior knowledge of the indoor environment to enhance localization performance. In this study, through systematic retrieval and analysis, the existing research was first categorized into three types to dissect the strengths and weaknesses based on the types of data sources integrated, i.e., single sensor data sources, multi-sensor data fusion, and the combination of spatial context with sensor data. Then, four key issues are discussed and the research gaps in this field are summarized. Finally, a comprehensive conclusion is provided. This paper offers a systematic reference for research and technological applications related to smartphone-based indoor localization methods.

Development of Attentive-Based Trans-UNet and Cycle Generative Adversarial Networks for Underwater Image Enhancement

Researchers across the globe have been investigating underwater photographs and a way to capture pictures with outstanding clarity for the past couple of decades. Also, improving the obtained photographs is an exhausting task. Usually, applied underwater image-capturing devices are unable to acquire high-resolution photos underwater, and their maintenance is extremely costly. The underwater images include multiple flaws because of biological processes like attenuation and scattering. These photographs experience color distortion, blurriness, and low contrast effects. Technologies that utilize deep learning have become more popular among several research studies and have gradually grown in impact on society. Several techniques demand sets of training photos, but gathering such expected sets can be challenging because of the complex nature of the underwater environment. Generating and restoring an image from water is a difficult task that has gained prominence in recent days. By lowering graininess, adjusting, and refining the photos using deep learning models, the major goal is to enhance underwater images. To accomplish this objective, an intelligent attention-based deep learning model is proposed. In the first stage, the unrefined images are gathered from typical data sources. Further, the collected underwater images are fed into the model of Attentive-based Trans-UNet-CycleGAN (ATUNet-CGAN), where the Transformer-based UNet model is integrated with the Cycle Generative Adversarial Networks (GANs). Also, the attention mechanism process is involved in Trans-UNet-CycleGAN for improving the superiority of submarine images. Finally, the performance of the model is validated using different metrics and correlated among baseline approaches. Therefore, the proposed methodology outperforms the exploitation of better enhancement of image quality.

STANDARDIZATION OF COLORIMETRY IN MEDICAL PHOTOGRAPHY. ORIGINAL RESEARCH.

Background. For many medical specialties, photography is a routine element of work. Environmental factors equally and significantly influence the interpretation of color light perception and the quality of photographic recording. Standardization of medical photography conditions is necessary for subsequent quantitative assessment of the skin scar by analyzing color coordinates in the RGB system. The goal is to determine the influence of lighting conditions and shooting distance on color coordinates when studying unaltered skin. Methods. The study involved five volunteers with no declared skin diseases and no cosmetics applied to their facial skin. Fitzpatrick skin type II - III. Digital photography was carried out using a mobile device camera at a distance of 30 cm from the subject. For each, a series of digital photographs were taken at a distance of 20, 30, 40, 50, 60, 70 cm from the light source. Color coordinates in the RGB system were measured in the digital graphics editor Adobe Photoshop CS6. Statistical analysis of the obtained data was carried out using Microsoft Office Excel 2019, Phyton 3.11. Results. Analysis of variance using the ANOVA method was used as a statistical analysis method. In order to determine the statistically significant difference between the sets, the Tukey HSD test was performed. A total of 1764 coordinates of three colors were subjected to statistical analysis (R = 588, G = 588, B = 588). When constructing a heat map of the cross-correlation of the absolute values of each color at each distance, taking into account the type of light source among themselves, the data had a strong direct correlation, regardless of the study area. When constructing a linear graph, the coordinates of any of the zones were located on the same straight line. Conclusion. Photography conditions were experimentally determined under which the color interpretation of light is constant. The results of the study should be taken into account during medical photography and subsequent color assessment of skin scars.

Research on safety control technology of high-speed railway combined test based on threatening event analysis

PurposeSafety management is a key point and poses a challenge in joint testing. To detect and address potential accidents' hidden dangers early, this paper conducts research on the safety control technology for high-speed railway joint tests by incorporating the concept of hazardous events.Design/methodology/approachAiming at ensuring the safety of high-speed railway combined inspections and trials, this paper starts from the dual prevention mechanism. It introduces the concept of threatening events, defines them and analyzes the differences between threatening events and railway accidents. The paper also proposes a cause model for threatening events in high-speed railway combined inspections and trials, based on three types of hazard sources. Furthermore, it conducts research on the control strategies for these threatening events.FindingsThe research on safety control technology for high-speed railway combined operation and testing, based on the analysis of threatened events, offers a new perspective for safety management in these operations. It also provides theoretical and practical support for the transition from passive prevention to active risk pre-control, which holds significant theoretical and practical value.Originality/valueThe innovation mainly includes the following three aspects: (1) Building on the traditional dual prevention mechanism, which includes risk hierarchical management and control as well as hidden danger investigation and management, a triple prevention mechanism is proposed. This new mechanism adds the management of threatening events as the third line of defense. The aim is to more comprehensively identify and address potential security risks, thereby enhancing the efficiency and effectiveness of security management. (2) In this paper, the definition of a railway threatening event is clarified, and the causative model of a high-speed railway threatening event based on three kinds of danger sources is proposed. (3) This paper puts forward the control strategy of the high-speed railway combined operation and trial, which includes five key links: identification, reporting, analysis, rectification and feedback, which provides a new perspective for the safety management of the high-speed railway combined operation and trial and has important theoretical and application value.

Experimental Investigation on Rock Failure Characteristics of Large-Span Goafs Using Digital Image Correlation Analysis and Acoustic Emission Monitoring

Rockmass in deep mining is highly susceptible to large-scale collapses under high stress and blast-induced disturbances, leading to casualties and economic losses. To investigate the evolution characteristics of goaf instability and the types of seismic sources that induce instability, an experiment on goaf instability was designed under uniaxial compression conditions based on actual mining operations. The entire experimental process was monitored using digital image correlation analysis and acoustic emission monitoring. By calculating the digital speckle field on the surface of the rock specimen during the experiment, the evolution characteristics of the deformation and strain fields from the beginning of loading to complete failure were analyzed. The study explored the dynamic behavior of cracks from initiation to propagation and eventually inducing large-scale collapse. The results show that the instability process of the goaf begins with the formation of tensile cracks. As stress increases, shear cracks occur in the specimen, leading to macroscopic failure. Furthermore, based on the differences in overall microfracture types measured by RA-AF characteristic parameters during specimen failure, large amplitude acoustic emission events corresponding to the formation of dominant macroscopic cracks were selected, and the focal mechanisms of these events were inverted. The results indicate that shear failure sources are significantly more prevalent than tensile failure sources in acoustic emission events leading to goaf instability. These findings can provide useful guidance for the support design and the prevention and control of rockmass instability disasters.

Identification of transmission line voltage sag sources based on multi‐location information convolutional transformer

AbstractConventional methods for identifying voltage sag sources are difficult to categorize accurately due to the complexity of transmission lines and the influence of noise. In order to solve the problem of difficulty in recognizing voltage sag sources of transmission lines under different locations, this paper proposes a new method for transmission line fault diagnosis based on modified wavelet denoising and multi‐location information convolution transformer. The improved wavelet denoising method proposed in this paper solves the problems of discontinuity and bias of the traditional wavelet denoising method, and is able to better reconstruct the original voltage signal in a strong noise environment. In addition, multi‐location information convolution transformer adopts a new model combining multi‐location information convolution and multi‐scale convolution transformer, which realizes the combination of global information and local context information capturing ability under multi‐location faults. This paper validates the method through simulation experiments and practical situations, and the results show that the method can well classify and identify the type and location of voltage sag sources in transmission lines.

Impressos periódicos e escrita da história

The printed periodicals attract the attention of a highly diversified array of scholars, owing to the myriad possibilities they offer as sources of information and/or subjects of research. The aim of this article is to discuss the challenges posed by the utilization of this type of source for historical writing in the current context, characterized by the availability of vast quantities of titles in digital format. The discussion begins with the systematization of a set of procedures and methods already well-established concerning the use of such sources, followed by an exploration of the potential impacts of digital newspaper archives on historiographical practice. The shifts in terms of conception and execution of research invite critical reflection on the new analytical possibilities brought about by the transition from analog to digital.

Consumer Green Products through the Lens of Bibliometrics: Trends analysis

The growth of articles is reflected in the increasing interdisciplinary research and publications on consumer green products. Scholars from fields as diverse as business, management and accounting, environmental science, social science, and engineering have contributed to more than 400 publications. This article aims to understand the growth of green consumer products by using bibliometric analysis. With the limitation set only for the final stage and English used, a total of 1961 articles were published in the Scopus database from 1990 to 2024. The analysis of document and source types, top keywords, and other bibliometric indicators was explained. In addition, Publish or Perish software was used to analyze citation metrics and highly cited articles. As the global focus on sustainability intensifies, research in this field will likely continue to grow. Future studies should lengthen this work to other article databases such as WOS and Google Scholar to understand how consumer green products can contribute to a more sustainable business future. Besides that, the researcher also can explore how the green marketing mix influences consumer intention to purchase green products available in the market.

Native gold from alluvial deposits of the Kyvvozhsky district and its probable primary sources (Volsko-Vymskoe rise, Middle Timan)

Based on the study of typomorphic features of gold from alluvial deposits of the Kyvvozh region of Middle Timan, including industrial placers, the most probable genetic types of primary sources were determined. The size of gold particles varies widely, reaching the size of small nuggets; along with rounded ones, there are weakly rounded and unrounded particles. Many of them have undergone repeated deformations in the form of envelope-shaped bends, dents and tears. Most gold coins have high-fineness rims. Gold always contains Ag, sometimes Cu, Pd and Cu. Gold particles with a block structure with high-silver vein zones are often found. In intergrowths with gold and in the form of inclusions are noted in it pyrite, galena, and occasionally minerals of the cobaltine-gersdorfite series, ankerite, galenobismutite, native bismuth, aurostibite, and also sudovikovite (PtSe2), which was first identified in the region. Three types of gold have been identified: 1 – homogeneous silver-containing, 2 – block with highly silvery vein-like zones, 3 – rare silver-containing with impurities of Cu, Pd. The morphology, composition and structure of placer gold indicate its entry into placers from various sources, including nearby sources. Of greatest interest are the zones of development in Riphean rocks of hydrothermal veinlet-disseminated sulfide mineralization, oriented in the northwest direction, partially exposed during the development of placers. Gold with Cu and Pd impurities is most likely associated with derivatives of mafic magmatism. The Volsko-Vymskoe, as well as the Tsilemskoe and Chetlasskoe uplifts of Middle Timan can be considered promising in terms of primary gold content and deserve further study and prospecting.

Profiling The Growth Conditions and Persistent Organic Pollutants (POPS) Tolerance of Phenoliferia glacialis USM-PSY62

Antarctica is characterized by extreme cold, isolated, and unique ecosystems. Nevertheless, Antarctica harbors diverse species of microorganisms, particularly in its ice-covered lakes and subglacial environments. These microorganisms have special adaptations to extreme cold and low-nutrient conditions. Some extremophiles, like psychrophiles can thrive in these harsh environments. Phenoliferia glacialis USM-PSY62, previously identified as Rhodotorula sp. USM-PSY62 is a psychrophilic yeast isolated from the ice brine of Antarctica. However, there is very little information on this psychrophilic yeast. This study aims to characterize the P. glacialis USM-PSY62 through the identification of the optimum growth parameters in different media (Yeast Peptone Dextrose, YPD &amp; Yeast Malt, YM), temperature (4°C, 15°C, 20°C) and pH (6, 7, 8, 9) as well as their ability in carbon assimilation and extracellular enzyme production. It has an optimal growth in YPD compared to YM broth media. P. glacialis USM-PSY62 grows optimally at 15°C and pH 7.0. This Antarctic yeast enters the stationary phase on day six of incubation under optimum conditions. It appeared mainly as elongated-shape and oval-shaped with budding formation and was found to produce extracellular enzymes such as protease and amylase in the presence of 2% glucose concentration in YM media. P. glacialis USM-PSY62 also can assimilate various types of carbon sources including raffinose, arabinose, and maltose. Interestingly, the psychrophilic yeast presented growth in media supplemented with Persistent Organic Pollutants (POPs) such as dichlorophenyldichloroethylene (DDE) and polychlorinated biphenyl (PCB). These preliminary findings suggest that P. glacialis USM-PSY62 has tremendous potential for bioremediation application in polluted cold regions, as well as deepening our knowledge of its optimal growth conditions.