Miracle-dz/UniFAR-FTUs huggingface dataset:
Mitochondrial Dysfunction and the Glycolytic Switch Induced by Caveolin-1 Phosphorylation Promote Cancer Cell Migration, Invasion, and Metastasis

Simple Summary Caveolin-1 (CAV1) is a membrane protein that has been attributed a dual role in cancer, acting at early stages as a tumor suppressor and in later stages of the disease as a promoter of metastasis. In the latter case, enhanced expression of CAV1 favors the malignant phenotype and correlates with a poorer prognosis of the patients. Bearing in mind that the reprogramming of energy metabolism is required in cancer cells to meet both the bioenergetic and biosynthetic needs to sustain increased proliferation, migration, and invasion, we evaluated the metabolism of metastatic cells expressing or not CAV1. In this study, we show that the expression of CAV1 promotes in cancer cells a metabolic switch to an aerobic, glycolytic phenotype by blocking mitochondrial respiration. Abstract Cancer cells often display impaired mitochondrial function, reduced oxidative phosphorylation, and augmented aerobic glycolysis (Warburg effect) to fulfill their bioenergetic and biosynthetic needs. Caveolin-1 (CAV1) is a scaffolding protein that promotes cancer cell migration, invasion, and metastasis in a manner dependent on CAV1 phosphorylation on tyrosine-14 (pY14). Here, we show that CAV1 expression increased glycolysis rates, while mitochondrial respiration was reduced by inhibition of the mitochondrial complex IV. These effects correlated with increased reactive oxygen species (ROS) levels that favored CAV1-induced migration and invasion. Interestingly, pY14-CAV1 promoted the metabolic switch associated with increased migration/invasion and augmented ROS-inhibited PTP1B, a phosphatase that controls pY14 levels. Finally, the glycolysis inhibitor 2-deoxy-D-glucose reduced CAV1-enhanced migration in vitro and metastasis in vivo of murine melanoma cells. In conclusion, CAV1 promotes the Warburg effect and ROS production, which inhibits PTP1B to augment CAV1 phosphorylation on tyrosine-14, thereby increasing the metastatic potential of cancer cells.
Mobile laser scanning based determination of railway network topology and branching direction on turnouts

GNSS is often inaccurate and satellite signals are not always available, which results in ambiguous situations. In order to reduce their negative effects on train-borne localization, this work proposes an approach for the detection of tracks, turnouts, and branching directions solely from 2d lidar sensor measurements. The experimental evaluation shows highly correct and complete results. In summary, these detections are sufficient to reduce ambiguity problems in train-borne localization.
Improving Applicability for Information Model of an IFC-Based Steel Bridge in the Design Phase Using Functional Meanings of Bridge Components

The industry foundation classes (IFC) data model is the most important data schema in ensuring the interoperability of the information generated throughout the lifecycle of facilities. However, because the current IFC model is focused on buildings, there are limitations when this model is applied to bridge structures. This paper proposes a method that enables the information modeling of steel box girder bridges based on the current IFC. To select the required and core items, we classify the components of a steel box girder bridge by the design stage with reference to engineering documents. To generate functional meanings of each bridge component, we develop the rules of the unique identifier and information reassignment, and then apply a semi-automated naming algorithm. The generated bridge information model was used to confirm the functional semantic meanings of individual components, and it was checked whether additional external information, such as carbon emissions, could be linked for specific bridge components. It was observed that information retrieval and extraction for components is possible through a semantic-based query to the generated IFC-based bridge information model.
Interventional Radiology in the Management of Metastases and Bone Tumors

Interventional Radiology (IR) has experienced an exponential growth in recent years. Technological advances of the last decades have made it possible to use new treatments on a larger scale, with good results in terms of safety and effectiveness. In musculoskeletal field, painful bone metastases are the most common target of IR palliative treatments; however, in selected cases of bone metastases, IR may play a curative role, also in combination with other techniques (surgery, radiation and oncology therapies, etc.). Primary malignant bone tumors are extremely rare compared with secondary bone lesions: osteosarcoma, Ewing sarcoma, and chondrosarcoma are the most common; however, the role of interventional radiology in this fiels is marginal. In this review, the main techniques used in interventional radiology were examined, and advantages and limitations illustrated. Techniques of ablation (Radiofrequency, Microwaves, Cryoablation as also magnetic resonance imaging-guided high-intensity focused ultrasound), embolization, and Cementoplasty will be described. The techniques of ablation work by destruction of pathological tissue by thermal energy (by an increase of temperature up to 90 °C with the exception of the Cryoablation that works by freezing the tissue up to −40 °C). Embolization creates an ischemic necrosis by the occlusion of the arterial vessels that feed the tumor. Finally, cementoplasty has the aim of strengthening bone segment weakened by the growth of pathological tissue through the injection of cement. The results of the treatments performed so far were also assessed and presented focused the attention on the management of bone metastasis.
Effect of the Nozzle Geometry on Flow Field and Heat Transfer in Annular Jet Impingement

The effects of nozzle shape modifications on the flow phenomena and heat transfer characteristics in annular jet impingement are investigated numerically. The numerical simulations are conducted applying the shear stress transport (SST) k−ω model in the ANSYS CFX. Two modified nozzles: the converging nozzle and the diverging nozzle, are investigated in this study, and the straight nozzle serves as the base case. The geometric parameters and settings are based on an annular jet ejected from an axial fan used for electronic cooling: the Reynolds number Re= 20,000 and the blockage ratio Br=0.35 in the computation, and the target plate is placed at three representative separation distances: H=0.5,2, and 4. Compared with the base nozzle, the converging nozzle can accelerate the cooling flow and promote turbulence to enhance local and overall heat transfer (about 20%) over the target surface. In addition, the converging nozzle reduces the sizes of the recirculation zones, and this promotes the convective heat transfer transport near the axis. The diverging nozzle experiences a similar flow pattern and thermal field as the base nozzle, while the diverging nozzle achieves a slightly lower heat transfer with a pronounced pressure drop reduction. In addition, given that the value of the Nusselt number over the target plate is dependent on the Reynolds number, the simulations are also performed at Re=5000 and 40,000 to establish the correlations between the Nusselt number and the Reynolds number as Nu∝Rem. The value of m varies depending on the nozzle shapes and the separation distances.
Interpretable and Anti-Bias Machine Learning Models for Human Event Sequence Data

viii CHAPTER
Color image quality measures and retrieval

The focus of this dissertation is mainly on color image, especially on the images with lossy compression. Issues related to color quantization, color correction, color image retrieval and color image quality evaluation are addressed. A no-reference color image quality index is proposed. A novel color correction method applied to low bit-rate JPEG image is developed. A novel method for content-based image retrieval based upon combined feature vectors of shape, texture, and color similarities has been suggested. In addition, an image specific color reduction method has been introduced, which allows a 24-bit JPEG image to be shown in the 8-bit color monitor with 256-color display. The reduction in download and decode time mainly comes from the smart encoder incorporating with the proposed color reduction method after color space conversion stage. To summarize, the methods that have been developed can be divided into two categories: one is visual representation, and the other is image quality measure. Three algorithms are designed for visual representation: (1) An image-based visual representation for color correction on low bit-rate JPEG images. Previous studies on color correction are mainly on color image calibration among devices. Little attention was paid to the compressed image whose color distortion is evident in low bit-rate JPEG images. In this dissertation, a lookup table algorithm is designed based on the loss of PSNR in different compression ratio. (2) A feature-based representation for content-based image retrieval. It is a concatenated vector of color, shape, and texture features from region of interest (ROI). (3) An image-specific 256 colors (8 bits) reproduction for color reduction from 16 millions colors (24 bits). By inserting the proposed color reduction method into a JPEG encoder, the image size could be further reduced and the transmission time is also reduced. This smart encoder enables its decoder using less time in decoding. Three algorithms are designed for image quality measure (IQM): (1) A referenced IQM based upon image representation in very low-dimension. Previous studies on IQMs are based on high-dimensional domain including spatial and frequency domains. In this dissertation, a low-dimensional domain IQM based on random projection is designed, with preservation of the IQM accuracy in high-dimensional domain. (2) A no-reference image blurring metric. Based on the edge gradient, the degree of image blur can be measured. (3) A no-reference color IQM based upon colorfulness, contrast and sharpness.
A flexible mathematical model for the planning and designing of a sporting fixture by considering the assignment of referees

This paper deals with the problems faced with the designing and planning of a sporting fixture considering correct referee assignments. A non-linear binary program model is proposed to solve the problems, which aims to minimize the sums of the differences that exist between the requirements of each match and the quality of the referee assigned achieving the design of the most adequate referee for each match. The efficiency of the proposed model is proved using some real data obtained from various fixtures for sports such as soccer, volleyball, and basketball. The mathematical model is solved by using CPLEX 12.7. 0. , which allows the automatic linearization of the problems. The results obtained demonstrate the efficiency of the proposed methodology for tackling problems, as well as its extension to other sporting disciplines, which require a similar type of planning. Similarly, given the robust nature of the proposed model, it is possible to implement other objective functions in accordance with the requirements of each league.
Balanceo y despliegue de carga en aplicaciones web mediante kubernetes

La presente investigación consiste en desarrollar un despliegue DevSecOps que resuelve la necesidad de automatizar de una manera óptima y segura, mediante la utilización de las buenas prácticas DevSecOps. El proceso consiste en que el código implementado de un proyecto con un Framework Laravel se versiona en un repositorio Git y se genere a partir de la rama principal una imagen de contenedor, la misma que se desplegará de manera automática en un clúster de Kubernetes con el uso de flujo de acciones. Así pues, para generar procesos de despliegue de aplicaciones web de una manera segura y rápida, reduciendo procesos de errores o conflictos de versiones, permitiendo procesos de reverso de cambios. Para el uso de las funcionalidades de las diferentes plataformas se utilizan repositorios privados, de esta manera el proyecto publicado se implementará de manera segura. Para el trabajo automatizado se usa tecnología Git, Kubernetes, Actions, Manifiestos, PHP, Composer y Laravel.
Multiband microstrip MIMO antenna with CSRR loaded for GSM and LTE applications

A multiband multiple‐input multiple‐output (MIMO) microstrip patch antenna using complementary split‐ring resonator (CSRR) structure is proposed for Global System for Mobile (GSM) and Long‐Term Evolution (LTE) applications. The proposed antenna consists of two radiating patches with folded microstrip lines and symmetric L‐shaped slots, which are connected together with an isolation line for reducing the coupling effect between ports. CSSRs are used to enhance the isolation and to control resonant frequencies. Radiation elements of the antenna are designed for various applications such as GSM (900 MHz) and LTE (1900/2300/2600 MHz). The proposed antenna is fed by 50 Ω CPW lines. Various parameters calculated in this antenna show a return loss and an isolation of less than −10 dB and −15 dB respectively. Moreover, the gain of 2.8dBi and the radiation efficiency of 72% have been obtained for proposed antenna. The presented antenna occupying 60 × 70 × 0.8 mm3 is implemented on an FR4 substrate.
Targeted Analysis of HSP70 Isoforms in Human Spermatozoa in the Context of Capacitation and Motility

HSP70s constitute a family of chaperones, some isoforms of which appear to play a role in sperm function. Notably, global proteomic studies analyzing proteins deregulated in asthenozoospermia, a main cause of male infertility characterized by low sperm motility, showed the dysregulation of some HSP70 isoforms. However, to date, no clear trend has been established since the variations in the abundance of HSP70 isoforms differed between studies. The HSPA2 isoform has been reported to play a key role in fertilization, but its dysregulation and possible relocation during capacitation, a maturation process making the spermatozoon capable of fertilizing an oocyte, is debated in the literature. The aim of the present study was to investigate the fate of all sperm HSP70 isoforms during capacitation and in relation to sperm motility. Using Multiple-Reaction Monitoring (MRM) mass spectrometry, we showed that the relative abundance of all detected isoforms was stable between non-capacitated and capacitated spermatozoa. Immunofluorescence using two different antibodies also demonstrated the stability of HSP70 isoform localization during capacitation. We also investigated spermatozoa purified from 20 sperm samples displaying various levels of total and progressive sperm motility. We showed that the abundance of HSP70 isoforms is not correlated to sperm total or progressive motility.
Homologous basic helix–loop–helix transcription factors induce distinct deformations of torsionally-stressed DNA: a potential transcription regulation mechanism

Abstract Abstract Changing torsional restraints on DNA is essential for the regulation of transcription. Torsional stress, introduced by RNA polymerase, can propagate along chromatin facilitating topological transitions and modulating the specific binding of transcription factors (TFs) to DNA. Despite the importance, the mechanistic details on how torsional stress impacts the TFs-DNA complexation remain scarce. Herein, we address the impact of torsional stress on DNA complexation with homologous human basic helix–loop–helix (BHLH) hetero- and homodimers: MycMax, MadMax and MaxMax. The three TF dimers exhibit specificity towards the same DNA consensus sequence, the E-box response element, while regulating different transcriptional pathways. Using microseconds-long atomistic molecular dynamics simulations together with the torsional restraint that controls DNA total helical twist, we gradually over- and underwind naked and complexed DNA to a maximum of ± 5°/bp step. We observe that the binding of the BHLH dimers results in a similar increase in DNA torsional rigidity. However, under torsional stress the BHLH dimers induce distinct DNA deformations, characterised by changes in DNA grooves geometry and a significant asymmetric DNA bending. Supported by bioinformatics analyses, our data suggest that torsional stress may contribute to the execution of differential transcriptional programs of the homologous TFs by modulating their collaborative interactions.
Corroboration of Twitter Sentiment Analysis and Event Analysis of Indian Budget 2022 on the Bitcoin Market

Abstract: This study aims to understand the corroboration of the results of Sentimental analysis with Event Analysis on the Indian Budget 2022 announcement on cryptocurrency. Sentimental analysis tries classify the tweets on Bitcoin on the budget day into Positive or Negative and deciphers the overall sentiment of the bitcoin investors on the Budget Day and the subsequent 2 days. This has been made possible by using a supervised machine learning algorithm. Event Analysis identi- fies whether any abnormal returns are seen on the event day and the subsequent 10 days. This study observes that the range between the positive and negative sentiments is minimal and there is no abnormal returns found post the budget announcement in the event study. It may be con- cluded that positive sentiments nullified the negative sentiments where the overall sentiments have a mean subjectivity score that is more leaning towards the less-opinionated side, which may be accounted for the lack of abnormality was found on the event day as well as the adjustment period. Keywords: Sentiment Analysis, Event Study, Bitcoin, Union Budget, Machine Learning
Integrated Analysis of mRNAs and Long Non-Coding RNAs Expression of Oviduct That Provides Novel Insights into the Prolificacy Mechanism of Goat (Capra hircus)

Artificial directional selection has replaced natural selection and resulted in trait differences across breeds in domestic animal breeding. However, the molecular mechanism by which the oviduct regulates litter size remains largely elusive in goats during the follicular phase. Accumulating data have linked lncRNAs to reproductive activities; however, little is known about the modulation mechanism in the oviduct. Herein, RNA-seq was used to measure mRNA and lncRNA expression levels in low- and high-fecundity goats. We observed distinctive differences in mRNA and lncRNA in terms of different kidding numbers and detected the differential expression of 1640 mRNA transcripts and 271 lncRNA transcripts. Enrichment analysis of differentially expressed mRNAs (DEGs) suggested that multiple pathways, such as the AMPK, PI3K–Akt, calcium signaling pathway, oocyte meiosis, ABC transporter, and ECM–receptor interaction pathways, directly or indirectly affected goat reproduction. Additionally, coexpression of differentially expressed lncRNAs (DEL)-genes analysis showed that XLOC_021615, XLOC_119780, and XLOC_076450 were trans-acting as the DEGs ATAD2, DEPDC5, and TRPM6, respectively, and could regulate embryo development. Moreover, XLOC_020079, XLOC_107361, XLOC_169844, XLOC_252348 were the trans-regulated elements of the DEGs ARHGEF2 and RAPGEF6, and the target DEGs CPEB3 of XLOC_089239, XLOC_090063, XLOC_107409, XLOC_153574, XLOC_211271, XLOC_251687 were associated with prolificacy. Collectively, our study has offered a thorough dissection of the oviduct lncRNA and mRNA landscapes in goats. These results could serve as potential targets of the oviduct affecting fertility in goats.
Macroeconomic Analysis of Mining Stock Index Volatility in Indonesia

The purpose of this study is to analyze the influence of macroeconomic variables, such as, exchange rates, interest rates, inflation rates, and consumer price index on mining stock volatility. The unit of analysis is the mining stock index volatility in Indonesia from January 2010 to December 2019. The analytical method used in the study is the econometric model ARCH/GARCH using EViews software. The test results show the exchange rate of the dollar against the rupiah (USD/IDR) and the inflation rate has a negative and significant effect while the interest rate and the consumer price index have a positive and significant effect on mining stock index volatility in Indonesia. In addition, based on the ARCH/GARCH coefficient is found that the mining stock index in Indonesia is influenced by the volatility of the current and past stock indexes. The mining stock index volatility in Indonesia is persistent volatile, which is high volatility and occurs continuously. Keywords: Macroeconomic Analysis, Minix Stock Index, Index Volatility
A Fast Ramp-Voltage-Based Current Programming Driver for AMOLED Display

A new source driving circuit to compensate characteristics variations of thin-film transistors for AMOLED displays with high resolution is presented in this brief. The second-generation current conveyor is implemented for rapid current sensing of the feedback line, which is biased with a constant reference-voltage (<inline-formula> <tex-math notation="LaTeX">$V_{{\mathrm{ REF}}}$ </tex-math></inline-formula>). Further, the current difference between the current of the driving transistor (<inline-formula> <tex-math notation="LaTeX">${I}_{ {D}}$ </tex-math></inline-formula>) and the programming current, i.e., <inline-formula> <tex-math notation="LaTeX">${I}_{{\mathrm{ DATA}}}$ </tex-math></inline-formula>, is converted into switching voltage through an amplifier with a shorted resistor, to control the input of a ramp voltage (<inline-formula> <tex-math notation="LaTeX">${V}_{{\mathrm{ RAMP}}}$ </tex-math></inline-formula>). Thus, the degradations in electrical characteristics of the driving transistor can be compensated in real time, and both the influence of threshold voltage (<inline-formula> <tex-math notation="LaTeX">${V}_{{\mathrm{ TH}}}$ </tex-math></inline-formula>) shift and mobility (<inline-formula> <tex-math notation="LaTeX">${ {\mu }}$ </tex-math></inline-formula>) variation are effectively suppressed. The current-error rate of the proposed circuit is less than 3% with <inline-formula> <tex-math notation="LaTeX">${V}_{{\mathrm{ TH}}}$ </tex-math></inline-formula> shift of ±0.5 V or <inline-formula> <tex-math notation="LaTeX">${ {\mu } }$ </tex-math></inline-formula> variation of ±15%. In addition, the settling time is less than <inline-formula> <tex-math notation="LaTeX">$4~{ {\mu } }{\text s}$ </tex-math></inline-formula> with the panel loading of 1.5 <inline-formula> <tex-math notation="LaTeX">$\text{K}{ {\Omega }}$ </tex-math></inline-formula> and 100 pF at the OLED current (<inline-formula> <tex-math notation="LaTeX">${I}_{{\mathrm{ OLED}}}$ </tex-math></inline-formula>) levels ranging from 3 <inline-formula> <tex-math notation="LaTeX">${ {\mu }}\text{A}$ </tex-math></inline-formula> to 200 nA.
Esports: an exploration of the advancing esports landscape, actors and interorganisational relationships

Abstract Evolving along with technological advancement and representing a complex digital phenomenon, esports is a rising nascent industry with knowledge gaps on how the current esports landscape and key actors operate. The esports ecosystem is characterised by the confluence of multiple interrelated leisure industries of sports, media, and entertainment. The overall esports operation could be elucidated only through mapping out critical actors, their roles and interrelationships. Using the framework of the Interorganisational Relations Theory (IOR), we present the contemporary esports landscape by exploring its production, distribution and consumption processes. Through examining the key actors of the esports value chain and their interorganisational relationships, we analysed how the esports industry is developed, supported and sustained through their collaborative efforts. This study contributes to evidence-based theorising of the esports industry, which is necessary to reflect on the current setup and infrastructure needed for the industry’s sustainable development.