Distinct Class Research Articles

A Review on the Application of Nanofluids in Enhanced Oil Recovery

Abstract: Oil mobility has been a significant issue since the recovery of a heavy crude reservoir. It is determined by two factors: oil rheological properties and penetrability. Nanofluids (NFs) are a distinct class of engineered fluids characterized by the dispersion of nanoparticles ranging in size from 1 to 100 nanometers (nm) into a working fluid. They are divided into groups based on physicochemical characteristics, including nanoparticle morphology, and thermal and rheological properties. The well-known nanofluids composed of metal (e.g., ZrO2) and ceramic (e.g., SiO2) had the best physicochemical performance in terms of oil mobility. This chapter examines the inundation of metal and nonmetal based nanofluids as a new enhanced oil extraction (EOR) method for extracting primary and secondary oil from more than 45% of confined reservoir fluids. Furthermore, new developments in the utilization of these materials on EOR approaches to combat significant interfacial adhesion across sandstone and fluid interfaces are summarized.

Abstract 3542: The Chemical Probes Portal: An essential resource providing expert advice on chemical tools for cancer research

Abstract Background: The Chemical Probes Portal (Portal) serves as a vital resource in the realm of cancer research and biomedical science generally - offering expert guidance on high-quality chemical tools, usually protein inhibitors, crucial for studying physiological and pathological processes and validating therapeutic targets. Researchers often grapple with selecting suitable chemical probes, inadvertently utilizing tools ill-suited for their purpose, and not following best practice, thereby contaminating the scientific literature and wasting valuable time and resources. To address this challenge, the Portal (https://www.chemicalprobes.org) was established as a non-profit, independent online platform, meticulously curating, annotating, and scoring the quality of chemical probes and providing associated information and advice. Results: The Portal stands apart as the sole expert-curated public resource evaluating the quality and utility of small-molecule chemical tool compounds for use in cancer research and wider biomedical research. More than 250 experts, comprising scientific leaders in chemical biology, medicinal chemistry, pharmacology, and related fields, contribute their experience and insights to assess featured chemical probes. Since 2021, a progressively updated and enhanced version of the Portal has been operational, housing over 1000 compounds targeting 500+ proteins across diverse families, now including PROTACs and molecular glues. We also flag 254 ‘Unsuitables’, which are compounds that should not be used to interrogate a specific protein target. Additionally, the Portal now offers informative pages, providing advice delineating guidelines for selecting well-validated compounds, including those suitable for rodent studies, necessitating specific pharmacokinetic and pharmacodynamic properties. Best practice use requires employing high-quality chemical probes from more than one distinct chemical class that target the same protein, incorporating an inactive control compound, and following the recommended concentration range - all aimed at mitigating off-target risks. Conclusion: The enhanced Chemical Probes Portal provides a vital platform for researchers to navigate and evaluate chemical probes, easily and effectively. It employs a rigorous expert review to ensure the quality of the probes listed. The resource not only aids high-quality probe selection but also provides advice through an Information Centre, offering guidelines, FAQs, and additional information on probe criteria and use. The continuous expansion and outreach efforts aim to make the Portal an indispensable tool for cancer researchers and the broader biomedical research community. Researchers are encouraged to participate in the Portal's development and contribute to the robustness of chemical probe use in scientific endeavors. Citation Format: Domenico Sanfelice, Albert Antolin, Alisa Crisp, Yi Chen, Paul Brennan, Susanne Müller, Bissan Al-Lazikani, Aled Edwards, Paul Workman. The Chemical Probes Portal: An essential resource providing expert advice on chemical tools for cancer research [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3542.

Exploring fungal bioemulsifiers: insights into chemical composition, microbial sources, and cross-field applications.

The demand for emulsion-based products is crucial for economic development and societal well-being, spanning diverse industries such as food, cosmetics, pharmaceuticals, and oil extraction. Formulating these products relies on emulsifiers, a distinct class of surfactants. However, many conventional emulsifiers are derived from petrochemicals or synthetic sources, posing potential environmental and human health risks. In this context, fungal bioemulsifiers emerge as a compelling and sustainable alternative, demonstrating superior performance, enhanced biodegradability, and safety for human consumption. From this perspective, the present work provides the first comprehensive review of fungal bioemulsifiers, categorizing them based on their chemical nature and microbial origin. This includes polysaccharides, proteins, glycoproteins, polymeric glycolipids, and carbohydrate-lipid-protein complexes. Examples of particular interest are scleroglucan, a polysaccharide produced by Sclerotium rolfsii, and mannoproteins present in the cell walls of various yeasts, including Saccharomyces cerevisiae. Furthermore, this study examines the feasibility of incorporating fungal bioemulsifiers in the food and oil industries and their potential role in bioremediation events for oil-polluted marine environments. Finally, this exploration encourages further research on fungal bioemulsifier bioprospecting, with far-reaching implications for advancing sustainable and eco-friendly practices across various industrial sectors.

Build Borophite from Borophenes: A Boron Analogue Graphite.

Unlike graphene derived from graphite, borophenes represent a distinct class of synthetic two-dimensional materials devoid of analogous bulk-layered allotropes, leading to covalent bonding within borophenes instead of van der Waals (vdW) stacking. Our investigation focuses on 665 vdW-stacking boron bilayers to uncover potential bulk-layered boron allotropes through vdW stacking. Systematic high-throughput screening and stability analysis reveal a prevailing inclination toward covalently bonded layers in the majority of boron bilayers. However, an intriguing outlier emerges in δ5 borophene, demonstrating potential as a vdW-stacking candidate. We delve into electronic and topological structural similarities between δ5 borophene and graphene, shedding light on the structural integrity and stability of vdW-stacked boron structures across bilayers, multilayers, and bulk-layered allotropes. The δ5 borophene analogues exhibit metallic properties and characteristics of phonon-mediated superconductors, boasting a critical temperature near 22 K. This study paves the way for the concept of "borophite", a long-awaited boron analogue of graphite.

Amine‐Rich Molecular Nodule‐Assembled Membrane Having 5 Angstrom Channels for CO2/N2 Separation

AbstractPorous organic cages (POCs) with abundant porosity and interconnected cavities have garnered significant research attention as a distinct class of porous materials due to their potential applications in gas sorption and separation. However, the ordered arrangement of POCs to eliminate inter‐cage defects remains challenging in the assembly of molecular‐selective membranes, which greatly hinders the effectiveness of pore sieving. Here, amine‐rich molecular nodules (AMNs) are created by reduction of the porous organic cage CC2, in which the spatial structure incurs a vertex collapse into the interior of the original tetrahedral structure, which eliminates the large window of CC2. By an interfacial reaction with terephthaloyl chloride, the AMNs assemble into a cross‐linked topological network having angstrom‐scale channels for selective CO2/N2 separation. The AMN‐assembled membrane displays a high CO2 permeance of 752 GPU, a CO2/N2 selectivity of 67 at 1 bar, as well as high‐pressure resistance, operational stability, and scalable manufacture potential, which provides a cost‐effective and practical solution for developing membranes for capturing CO2 from industrial flue gas.

A distinct class of pan-cancer susceptibility genes revealed by an alternative polyadenylation transcriptome-wide association study

Alternative polyadenylation plays an important role in cancer initiation and progression; however, current transcriptome-wide association studies mostly ignore alternative polyadenylation when identifying putative cancer susceptibility genes. Here, we perform a pan-cancer 3′ untranslated region alternative polyadenylation transcriptome-wide association analysis by integrating 55 well-powered (n > 50,000) genome-wide association studies datasets across 22 major cancer types with alternative polyadenylation quantification from 23,955 RNA sequencing samples across 7,574 individuals. We find that genetic variants associated with alternative polyadenylation are co-localized with 28.57% of cancer loci and contribute a significant portion of cancer heritability. We further identify 642 significant cancer susceptibility genes predicted to modulate cancer risk via alternative polyadenylation, 62.46% of which have been overlooked by traditional expression- and splicing- studies. As proof of principle validation, we show that alternative alleles facilitate 3′ untranslated region lengthening of CRLS1 gene leading to increased protein abundance and promoted proliferation of breast cancer cells. Together, our study highlights the significant role of alternative polyadenylation in discovering new cancer susceptibility genes and provides a strong foundational framework for enhancing our understanding of the etiology underlying human cancers.

Computational Assessment of Spectral Heterogeneity within Fresh Glioblastoma Tissue Using Raman Spectroscopy and Machine Learning Algorithms.

Understanding and classifying inherent tumor heterogeneity is a multimodal approach, which can be undertaken at the genetic, biochemical, or morphological level, among others. Optical spectral methods such as Raman spectroscopy aim at rapid and non-destructive tissue analysis, where each spectrum generated reflects the individual molecular composition of an examined spot within a (heterogenous) tissue sample. Using a combination of supervised and unsupervised machine learning methods as well as a solid database of Raman spectra of native glioblastoma samples, we succeed not only in distinguishing explicit tumor areas-vital tumor tissue and necrotic tumor tissue can correctly be predicted with an accuracy of 76%-but also in determining and classifying different spectral entities within the histomorphologically distinct class of vital tumor tissue. Measurements of non-pathological, autoptic brain tissue hereby serve as a healthy control since their respective spectroscopic properties form an individual and reproducible cluster within the spectral heterogeneity of a vital tumor sample. The demonstrated decipherment of a spectral glioblastoma heterogeneity will be valuable, especially in the field of spectroscopically guided surgery to delineate tumor margins and to assist resection control.

Properties of biomolecular condensates defined by Activator of G-protein Signaling 3.

Activator of G-protein signaling 3 (AGS3; also known as GPSM1), a receptor-independent activator of G-protein signaling, oscillates among defined subcellular compartments and biomolecular condensates (BMCs) in a regulated manner that is likely related to the functional diversity of the protein. We determined the influence of cell stress on the cellular distribution of AGS3 and core material properties of AGS3 BMCs. Cellular stress (oxidative, pHi and thermal) induced the formation of AGS3 BMCs in HeLa and COS-7 cells, as determined by fluorescent microscopy. Oxidative stress-induced AGS3 BMCs were distinct from G3BP1 stress granules and from RNA processing BMCs defined by the P-body protein Dcp1a. Immunoblots indicated that cellular stress shifted AGS3, but not the stress granule protein G3BP1 to a membrane pellet fraction following cell lysis. The stress-induced generation of AGS3 BMCs was reduced by co-expression of the signaling protein Gαi3, but not the AGS3-binding partner DVL2. Fluorescent recovery following photobleaching of individual AGS3 BMCs indicated that there are distinct diffusion kinetics and restricted fluidity for AGS3 BMCs. These data suggest that AGS3 BMCs represent a distinct class of stress granules that serve as a previously unrecognized signal processing node.

Astrocytes in intracerebral hemorrhage: impact and therapeutic objectives.

Intracerebral hemorrhage (ICH) manifests precipitously and profoundly impairs the neurological function in patients who are affected. The etiology of subsequent injury post-ICH is multifaceted, characterized by the intricate interplay of various factors, rendering therapeutic interventions challenging. Astrocytes, a distinct class of glial cells, interact with neurons and microglia, and are implicated in a series of pathophysiological alterations following ICH. A comprehensive examination of the functions and mechanisms associated with astrocytic proteins may shed light on the role of astrocytes in ICH pathology and proffer innovative therapeutic avenues for ICH management.

A novel smart disinfection system using 3D-printed and electrically conductive composite hydrogel

AbstractSmart materials are ushering in the era of smart and adaptable products. Hydrogels are a distinct class of smart materials that can be 3D-printed to produce smart and active structures that can be used as sensors and actuators. The development and characterization of a 3D-printable and electrically conductive composite hydrogel, as well as its application in the development of a smart disinfection system, are discussed in this article. The developed composite hydrogel has a maximum electrical conductivity of 145 S.m−1, is stable up to 200 °C, and has a 3D printable rheology. Virtuous of its electrical conductivity, the composite hydrogel was used to create a smart disinfection system. Various disinfection systems have been adopted for the disinfection of contaminated surfaces; however, most of these systems require human evacuation from the surroundings due to the hazardous nature of the virucide. The proposed system is designed to disinfect contaminated surfaces on common-use equipment and is capable of real-time activation through user interaction. It employs a thermal disinfection process at 60 °C for 5 min and becomes ready for the next user once its temperature drops below 55 °C. This system consumes 1.64 Wh of energy per disinfection cycle and is suitable for scenarios with fewer than 60 user interactions in an 8-h work shift.

Comparable Toxicity of Surface-Modified TiO2 Nanoparticles: An In Vivo Experimental Study on Reproductive Toxicity in Rats.

Nanoparticles (NPs), a distinct class of particles ranging in size from 1 to 100 nm, are one of the most promising technologies of the 21st century, and titanium dioxide NPs (TiO2 NPs) are among the most widely produced and used NPs globally. The increased application of TiO2 NPs raises concerns regarding their global safety and risks of exposure. Many animal studies have reported the accumulation of TiO2 NPs in female reproductive organs; however, evidence of the resultant toxicity remains ambiguous. Since the surface area and chemical modifications of NPs can significantly change their cytotoxicity, we aimed to compare the toxic effects of pristine TiO2 powder with surface-modified TiO2 powders with salicylic acid (TiO2/SA) and 5-aminosalicylic acid (TiO2/5-ASA) on the ovaries, oviducts, and uterus on the 14th day following acute oral treatment. The results, based on alterations in food and water intake, body mass, organ-to-body mass ratio, hormonal status, histological features of tissues of interest, and antioxidant parameters, suggest that the modification with 5-ASA can mitigate some of the observed toxic effects of TiO2 powder and encourage future investigations to create NPs that can potentially reduce the harmful effects of TiO2 NPs while preserving their positive impacts.

Small-scale radio jets and tidal disruption events: a theory of high-luminosity compact symmetric objects

ABSTRACT Double lobe radio sources associated with active galactic nuclei represent one of the longest studied groups in radio astronomy. A particular subgroup of double radio sources comprises the compact symmetric objects (CSOs). CSOs are distinguished by their prominent double structure and subkpc total size. It has been argued that the vast majority of high-luminosity CSOs (CSO 2s) represent a distinct class of active galactic nuclei with its own morphological structure and lifecycle. In this work, we present theoretical considerations regarding CSO 2s. We develop a semi-analytic evolutionary model, inspired by the results of large-scale numerical simulations of relativistic jets, that reproduces the features of the radio source population. We show that CSO 2s may be generated by finite energy injections and propose stellar tidal disruption events as a possible cause. We find that tidal disruption events of giant branch stars with masses ≳1 M⊙ can fuel these sources and discuss possible approaches to confirming this hypothesis. We predict that if the tidal disruption scenario holds, CSO 2s with sizes less than 400 pc should outnumber larger sources by more than a factor of 10. Our results motivate future numerical studies to determine whether the scenarios we consider for fuelling and source evolution can explain the observed radio morphologies. Multiwavelength observational campaigns directed at these sources will also provide critical insight into the origins of these objects, their environments, and their lifespans.

Therapeutic Potential and Pharmacological Activities of (+)-Nantenine in Medicine: An Aporphine Class Phytocomponent of Nandina domestica Thunberg.

Plant material and their derived byproducts have been used in medicine for the treatment of human disorders and complications. Plants give us a distinct class of natural compounds, commonly called secondary metabolites and better examples are the flavonoids, phenols, terpenoids, alkaloids, tannins, and carotenoids. Plant derived phytoproducts have been used for the treatment of human disorders in both traditional as well as modern medicine. Naturally occurring aporphines and their synthetic derivatives are well known in medicine for their pharmacological activities, including an affinity for dopaminergic, adrenergic and serotonergic receptors. (+)-nantenine is an aporphine alkaloid isolated from Nandina domestica and other plants. The aim of the present study is to analyze the biological potential and therapeutic effectiveness of nantenine in medicine. In the present work scientific information of nantenine for their medicinal uses and pharmacological activities have been collected from scientific databases such as Google, Google Scholar, PubMed, Scopus, and Science Direct . Scientific information of nantenine was further analyzed to know their health beneficial aspects in medicine. However, the detail pharmacological activity of nantenine has been discussed in the present work with its analytical aspects. Scientific data analysis described the medicinal importance and pharmacological activities of nantenine. Nantenine revealed adrenergic response, behavioral response, cardiovascular effect, vasorelaxant effect, acetylcholinesterase inhibitory potential, cytotoxicity, and biphasic tracheal relaxation. Present work also signified the biological potential of nantenine for their anti-inflammatory activity, anticonvulsant effect, antiserotonergic activities, anti-MDMA effect, antileishmanial activity, effect on histamine and serotonin, human 5-hydroxytryptamine (5-HT(2A)) and h5-HT(2B) receptors and isolated tissues. Further, the analytical techniques used for the separation, isolation and identification of nantenine have also been described in this work. The present scientific data describes the therapeutic potential and pharmacological activities of (+)-nantenine in medicine.

The formation of compact massive relic galaxies in MOND

ABSTRACT Compact massive relic galaxies are a class of galaxies that exhibit characteristics suggesting they have remained largely unchanged since their initial formation, making them ‘relics’ of the early Universe. These galaxies represent a distinct class characterized by strongly peaked high-velocity dispersion profiles with large rotational velocities. This study investigates the formation of such galaxies within the framework of Milgromian dynamics (MOND), offering a unique perspective on their origin without invoking the presence of cold or warm dark matter. Our analysis focuses on the collapse dynamics of isolated non-rotating post-big bang gas clouds, revealing kinematic and density profiles comparable to observed compact massive relic galaxies like NGC 1277, Mrk 1216, and PGC 032873. The findings underscore the natural emergence of compact massive relic galaxies within a MOND-based Universe, providing valuable insights into the interplay between gravitational dynamics and galaxy formation.

Impact of the Hydrocarbon Chain Length of Biodegradable Ester-Bonded Cationic Gemini Surfactants on Self-Assembly, In Vitro Gene Transfection, Cytotoxicity, and Antimicrobial Activity.

Gemini surfactants, due to their unique structural features and enhanced properties compared to conventional surfactants, are becoming more popular in the domain of colloid and interface science, drug delivery, and gene delivery science. This distinct class of surfactants forms a wide range of self-assembled aggregates depending on their chemical structure and environmental conditions. The present work aims to develop Gemini with three distinct chain lengths linked through the ester group and quaternary nitrogen head groups that can bind DNA molecules and ultimately serve as vectors for DNA transfection. Thus, we synthesized three distinct cationic Gemini with 12, 14, and 16 carbons in their tails and studied the effect of the hydrocarbon chain length on their physicochemical properties and biological applications. The self-assembly of these Geminis in aqueous solution was investigated by a number of techniques, including surface tension, electrical conductivity, fluorescence probe, calorimetry, dynamic light scattering, and atomic force microscopy. All three Gemini were extremely surface active and self-assembled above a very low critical micelle concentration. Calorimetric studies suggested the formation of thermodynamically favorable aggregates in an aqueous medium. Chain length dependence was observed in the size as well as the morphology of the aggregates. These Gemini ions were found to bind DNA strongly, as indicated by the high binding constant values. In vitro gene transfection studies using the RAW 264.7 cell line suggested that all three cationic Gemini had transfection efficiencies comparable to that of commercial standard turbofectamine. MTT assay was also performed for concentration selection while using these Gemini as transfection vectors. Overall, it was observed that Gemini had very little cytotoxicity within the investigated concentration range, highlighting the significance of the ester link within the structure. When compared with known antimicrobials such as kanamycin and ampicillin, all three Gemini furnished excellent antimicrobial activity in both Gram-positive (Staphylococcus aureus) and Gram-negative (Escherichia coli) microorganisms.

Disease activity trajectories in juvenile dermatomyositis from childhood to adulthood.

To assess whether there are identifiable subgroups of disease activity trajectory in a population of JDM patients-followed throughout childhood and into adulthood-and determine factors that predict those trajectory groupings. This is a retrospective, longitudinal inception cohort of patients with idiopathic inflammatory myopathies, largely JDM. We sought to identify baseline factors that predict membership into different groups (latent classes) of disease activity trajectory. A total of 172 patients (64% females), with median age at diagnosis of 7.7 years, were analysed. We studied 4725 visits (1471 patient-years). We identified three latent classes of longitudinal disease activity, as measured by the modified DAS (DASm), with distinct class trajectories predicted by DASm at baseline, and by the changes of DASm from either baseline to 3 months or baseline to 6 months (early response to therapy). In the analysis in which DASm at baseline and the changes of DASm from baseline to 6 months are included as predictors, Class 1 (10%) has persistently high disease activity, Class 2 (34%) is characterized by moderate disease activity and Class 3 (56%) is characterized by individuals with a high early disease activity but an apparently good response to treatment and long-term low disease activity. High early disease activity, and treatment resistance in the first few months, predict a more chronic longitudinal course of JDM.

A Visual Computing Unified Application Using Deep Learning and Computer Vision Techniques

Vision Studio aims to utilize a diverse range of modern deep learning and computer vision principles and techniques to provide a broad array of functionalities in image and video processing. Deep learning is a distinct class of machine learning algorithms that utilize multiple layers to gradually extract more advanced features from raw input. This is beneficial when using a matrix as input for pixels in a photo or frames in a video. Computer vision is a field of artificial intelligence that teaches computers to interpret and comprehend the visual domain. The main functions implemented include deepfake creation, digital ageing (de-ageing), image animation, and deepfake detection. Deepfake creation allows users to utilize deep learning methods, particularly autoencoders, to overlay source images onto a target video. This creates a video of the source person imitating or saying things that the target person does. Digital aging utilizes generative adversarial networks (GANs) to digitally simulate the aging process of an individual. Image animation utilizes first-order motion models to create highly realistic animations from a source image and driving video. Deepfake detection is achieved by using advanced and highly efficient convolutional neural networks (CNNs), primarily employing the EfficientNet family of models.

Abstract IA009: Scars of faulty DNA repair in cancer whole genomes

Abstract Cancer genomes provide a record of the genetic alterations acquired from DNA damage and DNA repair defects during normal cell development and carcinogenesis. Genome-wide somatic alteration patterns in BRCA1-deficient (BRCA1d) and BRCA2-deficient (BRCA2d) cancers are attributed to a deficiency in homologous recombination (HR), a major pathway for the repair of double-strand breaks (DSBs) in human cells. Some of these mutational patterns may reflect specific error-prone repair mechanisms of DSB repair that cells use in the absence of HR. Such mutational patterns can provide biomarkers of HR-deficiency and help identify clinically relevant therapeutic vulnerabilities. HRD is has been associated with specific DNA rearrangements and cytogenetic aberrations. Paradoxically, the types of DNA rearrangements specifically associated with HR-deficient (HRD) cancers only minimally impact chromosomal structure. Addressing this, we combined a genome graph analysis of short-read whole genome sequencing (WGS) profiles across thousands of tumors with deep linked-read (LR) WGS of 46 BRCA1- or BRCA2-mutant breast cancers to discover a distinct class of HR deficiency-enriched rearrangements called reciprocal pairs. LR WGS showed that reciprocal pairs with identical rearrangement orientations gave rise to one of two distinct chromosomal outcomes, distinguishable only with long molecule data. While one (cis) outcome corresponded to the copy and pasting of a small segment to a distant site, a second (trans) outcome was a quasi-balanced translocation or multi-megabase inversion with substantial (10kb) duplications at each junction. We propose an HR-independent replication restart repair mechanism to explain the full spectrum of reciprocal pair outcomes. LR WGS additionally identified single-strand annealing (SSA) as a BRCA2-deficiency specific repair pathway in human cancers. Integrating these features in a classifier improved discrimination between BRCA1- vs. BRCA2-deficient genomes. In conclusion, our data reveal classes of BRCA1- and BRCA2-deficiency specific rearrangements as a source of cytogenetic aberrations in HRD cells. Citation Format: Jeremy Setton, Simon Powell, Marcin Imielinski. Scars of faulty DNA repair in cancer whole genomes [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: DNA Damage Repair: From Basic Science to Future Clinical Application; 2024 Jan 9-11; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2024;84(1 Suppl):Abstract nr IA009.

Camera-Aware Recurrent Learning and Earth Mover’s Test-Time Adaption for Generalizable Person Re-Identification

Domain generalization in person re-identification (ReID) aims to design a generalizable model, which is trained under the supervision of a set of labeled source domains and can be directly deployed on unknown domains. Existing approaches simply treat each identity as a distinct class and ignore the differences among cameras. We argue that the camera information is crucial for learning discriminative representations, as people’s behavior usually varies between cameras. In this paper, we present Multi-Centroid Memory (MCM) to capture different camera information for each identity and Soft Triple Hard (ST-Hard) loss to align the information of the same identity across cameras. Furthermore, in contrast to the traditional approaches of training a single model using a parallel training mechanism, we propose the Recurrent Implicit Lifelong Learning (RILL) that feeds the source domains into the model in a continuous loop to train an expert for each domain. To make each expert further generalized to other source domains, during the training on the current domain, RILL adopts a style replay-based method to simulate the training of the previous domain, encouraging each domain’s expert to extract generalizable features. We also present Earth Mover’s Test-time Adaption (EMTA) to be used in conjunction with RILL, which enables source domains that are more similar to the test domain to play a more significant role in the test. This is achieved by our proposed Earth Mover’s Similarity (EMS), which helps model the similarities between the source and test domains. Extensive experiments on two evaluation protocols fully demonstrate our framework’s generalization and competitiveness.

Documentary Films About Polish Transformation from State Socialism to Capitalism

This article discusses Polish documentary films made after the fall of the Iron Curtain in 1989, till 2005. I focus on films concerning class issues, not least because the changes which happened in 1989 were as political as they were economic in their character, leading to creating a distinct class stratification: winners and losers. I examine here films made in the 1990s till the mid-2000s, as it can be argued that after this period, the transformation was completed. I focus on films concerning labour and labour relations, as this was the part of life which changed most after the fall of state socialism and affected ordinary people most profoundly, and class issues, more broadly. I am particularly interested in how the changes of the 1990s affected individual and group identities of Poles, especially identities pertaining to age, education and place of living.