Miracle-dz/UniFAR-FTUs huggingface dataset:
Radiosensitization of Allogenic Subcutaneous C6 Glioma Model with Focused Ultrasound-Induced Mild Hyperthermia

The radiosensitization potential of focused ultrasound (FUS)-induced mild hyperthermia was assessed in an allogenic subcutaneous C6 glioma tumor model in rats. Mild hyperthermia at 42 °C was induced in tumors using a single-element 350 kHz FUS transducer. Radiation was delivered with a small animal radiation research platform using a single-beam irradiation technique. The combined treatment involved 20 min of FUS hyperthermia immediately before radiation. Tumor growth changes were observed one week post-treatment. A radiation dose of 2 Gy alone showed limited tumor control (30% reduction). However, when combined with FUS hyperthermia, there was a significant reduction in tumor growth compared to other treatments (tumor volumes: control—1174 ± 554 mm3, FUS-HT—1483 ± 702 mm3, 2 Gy—609 ± 300 mm3, FUS-HT + 2 Gy—259 ± 186 mm3; ANOVA p < 0.00001). Immunohistological analysis suggested increased DNA damage as a short-term mechanism for tumor control in the combined treatment. In conclusion, FUS-induced mild hyperthermia can enhance the effectiveness of radiation in a glioma tumor model, potentially improving the outcome of standard radiation treatments for better tumor control.
DQ transformation development for single-phase systems to compensate harmonic distortion and reactive power

An extension of the DQ transformation for single-phase systems is presented in this work, since the original approach can only be applied to three-phase systems. The theoretical principle of the proposed transformation is presented. Equations about how the fundamental component and the harmonics of the variable of concern are mapped in the dq reference frame are derived. The proposed transformation is evaluated under ideal and real conditions, and with magnitude and/or phase deviations. Besides, an adequate selection of the reference generator scheme to compensate systems with harmonic distortion and reactive power is made, obtaining an optimal selection of all parameters.
The cardiovascular disease continuum validated: clinical evidence of improved patient outcomes: part I: Pathophysiology and clinical trial evidence (risk factors through stable coronary artery disease).

Fifteen years ago, a panel of experts representing the full spectrum of cardiovascular disease (CVD) research and practice assembled at a workshop to examine the state of knowledge about CVD. The leaders of the workshop generated a hypothesis that framed CVD as a chain of events, initiated by a myriad of related and unrelated risk factors and progressing through numerous physiological pathways and processes to the development of end-stage heart disease (Figure 1). 1 They further hypothesized that intervention anywhere along the chain of events leading to CVD could disrupt the pathophysiological process and confer cardioprotection. The workshop participants endorsed this paradigm but also identified the unresolved issues relating to the concept of a CVD continuum. There was limited availability of clinical trial data and pathobiological evidence at that time, and the experts recognized that critical studies at both the mechanistic level and the clinical level were needed to validate the concept of a chain of events leading to end-stage CVD. In the intervening 15 years, new evidence for underlying pathophysiological mechanisms, the development of novel therapeutic agents, and the release of additional landmark clinical trial data have confirmed the concept of a CVD continuum and reinforced the notion that intervention at any point along this chain can modify CVD progression. In addition, the accumulated evidence indicates that the events leading to disease progression overlap and intertwine and do not always occur as a sequence of discrete, tandem incidents. Furthermore, although the original concept focused on risk factors for coronary artery disease (CAD) and its sequelae, the CVD continuum has expanded to include other areas such as cerebrovascular disease, peripheral vascular disease, and renal disease. Since its conception 15 years ago, the CVD continuum has become much in need of an update. Accordingly, this 2-part article will present a critical and comprehensive update of the current evidence for a CVD continuum based on the results of pathophysiological studies and the outcome of a broad range of clinical trials that have been performed in the past 15 years. It is not the intent of the article to include a comprehensive listing of all trials performed as part of the CVD continuum; instead, we have sought to include only those trials that have had the greatest impact. Part I briefly reviews the current understanding of the pathophysiology of CVD and discusses clinical trial data from risk factors for disease through stable CAD. Part II continues the review of clinical trial data beginning with acute coronary syndromes and continuing through extension of the CVD continuum to stroke and renal disease. The article concludes with a discussion of areas in which future research might further clarify our understanding of the CVD continuum.
Proceedings of the 5th Symposium on Operating Systems Design and Implementation Optimizing the Migration of Virtual Computers

This paper shows how to quickly move the state of a running computer across a network, including the state in its disks, memory, CPU registers, and I/O devices. We call this state a capsule. Capsule state is hardware state, so it includes the entire operating system as well as applications and running processes. We have chosen to move x86 computer states because x86 computers are common, cheap, run the software we use, and have tools for migration. Unfortunately, x86 capsules can be large, containing hundreds of megabytes of memory and gigabytes of disk data. We have developed techniques to reduce the amount of data sent over the network: copy-on-write disks track just the updates to capsule disks, " ballooning " zeros unused memory, demand paging fetches only needed blocks, and hashing avoids sending blocks that already exist at the remote end. We demonstrate these optimizations in a prototype system that uses VMware GSX Server virtual machine monitor to create and run x86 capsules. The system targets networks as slow as 384 kbps. Our experimental results suggest that efficient capsule migration can improve user mobility and system management. Software updates or installations on a set of machines can be accomplished simply by distributing a capsule with the new changes. Assuming the presence of a prior capsule, the amount of traffic incurred is commensurate with the size of the update or installation package itself. Capsule migration makes it possible for machines to start running an application within 20 minutes on a 384 kbps link, without having to first install the application or even the underlying operating system. Furthermore , users' capsules can be migrated during a commute between home and work in even less time.
Outbreak of Acute Respiratory Infection among Infants in Lisbon, Portugal, Caused by Human Adenovirus Serotype 3 and a New 7/3 Recombinant Strain

ABSTRACT Human adenoviruses (AdVs) typically cause mild illnesses in otherwise healthy hosts. We investigated a pediatric outbreak of acute respiratory infection with fatal outcomes that occurred in Lisbon, Portugal, in 2004. Biological specimens were collected from 83 children attending two nurseries, a kinesiotherapy clinic, and the household of a nanny. Adenovirus infection was confirmed in 48 children by PCR and virus isolation. Most (96%) isolates were classified as being of subspecies B1. Phylogenetic analysis of fiber and hexon gene sequences revealed that most infants were infected with AdV serotype 3 (AdV3) strains. Infants attending one nursery harbored a new recombinant strain containing an AdV serotype 7 hexon and serotype 3 fiber (AdV7/3). Both the AdV3 and the AdV7/3 strains caused fatal infections. Two different serotype 3 strains were circulating in Lisbon in 2004, and the new AdV7/3 recombinant type originated from only one of those strains. These results demonstrate that recombination leads to the emergence of new adenovirus strains with epidemic and lethal potential.
Development of Mobile Application through the Concept of Artificial Intelligence to Enhance Pronunciation Skill in EFL

The utilization of artificial intelligence (AI)-powered mobile applications has demonstrated potential in enhancing pronunciation skills for learners of English as a Foreign Language (EFL). In this study, Natural Language Processing (NLP) was employed for English student learning. Jonglish, an Android mobile application utilizing Machine Translation and Grammarly, served as the platform. Given the novelty of the field in Indonesia, the researchers aimed to investigate the integration of NLP into the creation of Jonglish. To address the research objective, which is to elucidate the development of a mobile application named Jonglish through the concept of AI to enhance pronunciation skills in EFL, the researchers utilized the Life Cycle Machine Learning, specifically the Cross Industry Standard Process for Data Mining (CRISP-DM). The results of testing the dataset revealed a 100% success rate in translating the data into Indonesian and English using TextBlob as a translator. Meanwhile, SpellingCheck achieved a 98% accuracy rate for spelling checks. With technological advancements, the collaboration of AI and mobile application will undoubtedly drive further innovation, enhancing convenience, efficiency, and engagement for users around the world. Following the progress report, the subsequent stage is the model testing and deployment phase. In this phase, developers and AI engineers operationalize the concepts and algorithms developed in earlier stages and bring them to life within mobile applications. Keywords: artificial intelligent, mobile application, pronunciation, EFL
Clinical Significance of Brush Allodynia in Emergency Patients With Migraine

Background. — Cutaneous brush allodynia may be a practical and readily assessable marker of progression of an acute migraine attack. We determined the relative frequency of this finding in emergency department (ED) patients with acute migraine and tested the hypothesis that the presence of cutaneous brush allodynia prior to initial treatment in the ED could predict poor 2‐hour and 24‐hour pain intensity outcomes.
Lipids and leptin level in natives of Kyrgyzstan.

OBJECTIVES A possible link between obesity and impaired lipid metabolism is leptin, the 167-amino acid protein, secreted by adipocytes. The content of leptin in the body is closely associated with body mass index (BMI). Data obtained from studies on the association of leptin with dyslipidemia are contradictory. The level of leptin has not been studied in the ethnic Kyrgyz population previously. The purpose of this study was to investigate the relationship between leptin and lipid parameters in a group of ethnic Kyrgyz. STUDY DESIGN The study included 322 ethnic Kyrgyz (145 males, 177 females) aged ≥30 years, living in Kyrgyzstan. Measurement of anthropometric parameters (height, weight, waist circumference [WC], hip circumference [HC]) and blood pressure (BP) was done. Laboratory tests included blood glucose (fasting) in plasma, lipid profile (total cholesterol [TC], triglycerides [TG], high-density lipoprotein [HDL] cholesterol, low-density lipoprotein [LDL] cholesterol), and serum leptin. RESULTS Leptin was positively correlated with BMI, WC and TG in both sexes and with TC in males. CONCLUSION Leptin is associated with BMI, WC and TG in both sexes of Kyrgyz and with TC in Kyrgyz males.
DRD-UNet, a UNet-Like Architecture for Multi-Class Breast Cancer Semantic Segmentation

Staining of histological slides with Hematoxylin and Eosin is widely used in clinical and laboratory settings as these dyes reveal nuclear structures as well as cytoplasm and collagen. For cancer diagnosis, these slides are used to recognize tissues and morphological changes. Tissue semantic segmentation is therefore important and at the same time a challenging and time-consuming task. This paper describes a UNet-like deep learning architecture called DRD-UNet, which adds a novel processing block called DRD (Dilation, Residual, and Dense block) to a UNet architecture. DRD is formed by the combination of dilated convolutions (D), residual connections (R), and dense layers (D). DRD-UNet was applied to the multi-class (tumor, stroma, inflammatory, necrosis, and other) semantic segmentation of histological images from breast cancer samples stained with Hematoxylin and Eosin. The histological images were released through the Breast Cancer Semantic Segmentation (BCSS) Challenge. DRD-UNet outperformed the original UNet architecture and 15 other UNet-based architectures on the segmentation of 12,930 image patches extracted from regions of interest that ranged in size between $1036 \times 1222$ to $6813 \times 7360$ pixels. DRD-UNet obtained the best performance as measured with Jaccard similarity index, Dice coefficient, in a per-class comparison and accuracy for overall segmentation.
Capturing the Contributions of the Semantic Web to the IoT: A Unifying Vision

The Internet of Things (IoT) is a technological topic with a very important societal impact. IoT application domains are various and include: smart cities, precision farming, smart factories, and smart buildings. The diversity of these application domains is the source of the very high technological heterogeneity in the IoT, leading to interoperability issues. The semantic web principles and technologies are more and more adopted as a solution to these interoperability issues, leading to the emergence of a new domain, the Semantic Web Of Things (SWoT). Scientific contributions to the SWoT are many, and the diversity of architectures in which they are expressed complicates comparison. To unify the presented architectures, we propose an architectural pattern, LMU-N. LMU-N provides a reading grid used to classify processes to which the SWoT community contributes, and to describe how the semantic web impacts the IoT. Then, the evolutions of the semantic web to adapt to the IoT constraints are described as well, in order to give a twofold view of the convergence between the IoT and the semantic web toward the SWoT.
Formation Control for Mobile Robots with Limited Sensor Information

In this paper mobile multi-agent systems with limited sensor information are studied. Some control algorithms are proposed that do not require global information, and are easy to implement. First two basic controls for a single mobile agent tracking another moving object are derived. Then it is shown how these basic controls can be combined in order to achieve more complex formations.
Ressentiment in the Manosphere: Conceptions of Morality and Avenues for Resistance in the Incel Hatred Pipeline

This article investigates conceptions of morality within the framework of ressentimentful victimhood in the manosphere, while also exploring avenues for resistance among young individuals encountering the “hatred pipeline”. In Study 1, we use the emotional mechanism of ressentiment to examine how incels construct narratives of victimhood rooted in the notion of sexual entitlement that remains owed and unfulfilled, alongside its “black pill” variant emphasising moral and epistemic superiority. Through a linguistic corpus analysis and content examination of 4chan and Incel.is blog posts, we find evidence of ressentiment morality permeating the language and communication within the incel community, characterised by blame directed at women, and the pervasive themes of victimhood, powerlessness, and injustice. In Study 2, we delve into young individuals’ reflections on incel morality and victimhood narratives as they engage with online networks of toxic masculinity in the manosphere. Drawing from semi-structured interviews with young participants who have accessed the manosphere, we explore their perceptions of risks, attribution of blame, and experiences of empathy towards individuals navigating the “hatred pipeline”. Our analysis underscores the significance of ressentiment in elucidating alternative conceptions of morality and victimhood, while shedding light on the potential for acceptance or resistance within online environments characterised by hatred.
The Impact of Small Learning Group Composition on Drop-Out Rate and Learning Performance in a MOOC

A commonly known and widely studied problem of massive open online courses (MOOCs) is the high drop-out rate of students. In this paper we propose and analyze the composition of small learning groups as a solution to this problem. In an experiment, we composed such small learning groups in a MOOC context using two methods: Random grouping and grouping by an algorithm that considers selected student criteria. Further, a flipped classroom course was conducted on-campus with a local student group using the MOOC. We compared all three approaches to a control condition using two measures: Drop-out rate and learning performance. The empirical results give an indication, yet no hard evidence, that small groups might reduce student drop-out rates. *
Speech modeling based on committee-based active learning

We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the recognition results obtained from them are used for selecting utterances. Here, a progressive search method is used for aligning sentences, and voting entropy is used as a measure for selecting utterances. We apply our method not only to acoustic models but also to language models and their combination. Our method was evaluated by using 190-hour speech data in the Corpus of Spontaneous Japanese. It proved to be significantly better than random selection. It only required 63 h of data to achieve a word accuracy of 74%, while standard training (i.e., random selection) required 97 h of data. The recognition accuracy of our proposed method was also better than that of the conventional uncertainty sampling method using word posterior probabilities as the confidence measure for selecting sentences.
Growth pattern in Ethiopian infants – the impact of exposure to maternal HIV infection in relation to socio-economic factors

ABSTRACT Background: Infants exposed to maternal HIV infection who remain HIV-uninfected (HIV-exposed/uninfected; HIV-EU) may be at increased risk of growth retardation, which could be due both to directly HIV-related effects and to socio-economic factors overrepresented among HIV-positive women. Objective: To investigate growth development at 9–12 months of age in HIV-EU infants participating in prevention of mother-to-child transmission (PMTCT) care compared to HIV unexposed (HIV-U) infants in relation to socio-economic conditions. Methods: Anthropometric and socio-economic data were collected retrospectively from PMTCT registers (for HIV-EU infants), with HIV-U controls recruited at measles vaccination at public health facilities in Ethiopia. Growth was compared with regard to HIV exposure and socio-economic variables in multivariate regression analysis. Results: The following growth measurements were found for 302 HIV-EU and 358 HIV-U infants at 9–12 months of age, respectively: mean weight-for-age z-score (WAZ) 0.04 and −0.21, p < 0.001 (proportion underweight 5.7% and 6.7%, p = 0.60); median length-for-age z-score (LAZ) −0.92 and −0.91, p = 0.53 (proportion stunted 25.1% and 20.5%, p = 0.17). In multivariate analysis, lower WAZ was associated with male sex (p = 0.021), lower maternal education (p < 0.001), presence of siblings (p < 0.01) and HIV-U (p < 0.01). Underweight was associated with male sex (p = 0.017) and absence of maternal education (p = 0.019). Lower LAZ was associated with male sex (p < 0.001), presence of siblings (p < 0.001) and poor maternal education (p < 0.01), while stunting was associated with male sex (p < 0.001), presence of siblings (p < 0.001), few rooms in the home (p < 0.01), access to running water (p = 0.026) and low level of maternal education (p = 0.014). Conclusions: At 9–12 months of age, HIV-EU infants had non-inferior growth and higher mean WAZ than HIV-U controls. Poor growth development was associated with socio-economic factors. This suggests health benefits from PMTCT participation for infant growth. Similar interventions could be considered for Ethiopian infants, irrespective of HIV exposure, with a particular focus on children with poor socio-economic status.
Measurements of Thermal Effects in a Bulk YBCO Single Domain Superconductor Submitted to a Variable Magnetic Field

When YBCO single domains are subjected to a variable magnetic field, the motion of vortices may give rise to a significant temperature increase and a degradation of the superconducting properties. We have experimentally investigated such effects in bulk melt-processed YBCO single domains. Several temperature sensors, a pick-up coil and two Hall probes were placed against the surface of a monolithic bulk YBCO pellet. Data were simultaneously recorded during the application of ac magnetic fields of various amplitudes, either with or without a pre-existing dc trapped flux. The measurement results agree well with to those obtained by numerical modeling. It was also found that a superimposed dc magnetic moment reduces the temperature increase caused by the ac magnetic field.
Innovations in Practice: Preliminary evidence for effective family engagement in treatment for child traumatic stress-trauma systems therapy approach to preventing dropout.

BACKGROUND This study aimed to obtain preliminary evidence for the extent to which a novel intervention embedded within a systems-oriented treatment model [trauma systems therapy (TST)] engages and retains traumatized children and their families in treatment. METHOD Twenty youth who had prominent symptoms of posttraumatic stress were randomly assigned to receive TST or care as usual (CAU). RESULTS At the 3-month assessment, 90% of TST participants were still in treatment, whereas only 10% of CAU participants remained. Within-group analyses of TST participants demonstrated significant reductions in posttraumatic stress and aggression as well as a slight improvement in home safety. CONCLUSIONS These preliminary findings point to the need to utilize effective engagement approaches to retain traumatized children and their families in treatment.
Classifying Luyten Stars Using an Optical-Infrared Reduced Proper-Motion Diagram

We present a V-J reduced proper-motion (RPM) diagram for stars in the new Luyten two-tenths (NLTT) catalog. In sharp contrast to the RPM diagram based on the original NLTT data, this optical-infrared RPM diagram shows distinct tracks for white dwarfs, subdwarfs, and main-sequence stars. It thereby permits the identification of white dwarf and subdwarf candidates that have a high probability of being genuine.