Miracle-dz/UniFAR-FTUs huggingface dataset:
Homeobox Gene Expression Dysregulation as Potential Diagnostic and Prognostic Biomarkers in Bladder Cancer

Homeobox genes serve as master regulatory transcription factors that regulate gene expression during embryogenesis. A homeobox gene may have either tumor-promoting or tumor-suppressive properties depending on the specific organ or cell lineage where it is expressed. The dysregulation of homeobox genes has been reported in various human cancers, including bladder cancer. The dysregulated expression of homeobox genes has been associated with bladder cancer clinical outcomes. Although bladder cancer has high risk of tumor recurrence and progression, it is highly challenging for clinicians to accurately predict the risk of tumor recurrence and progression at the initial point of diagnosis. Cystoscopy is the routine surveillance method used to detect tumor recurrence. However, the procedure causes significant discomfort and pain that results in poor surveillance follow-up amongst patients. Therefore, the development of reliable non-invasive biomarkers for the early detection and monitoring of bladder cancer is crucial. This review provides a comprehensive overview of the diagnostic and prognostic potential of homeobox gene expression dysregulation in bladder cancer.
Usefulness of controlled attenuation parameter in monitoring clinically relevant decline of hepatic steatosis for non‐alcoholic fatty liver disease

Magnetic resonance imaging‐derived proton density fat fraction (MRI‐PDFF) is the reference standard of hepatic steatosis assessment. This study evaluates usefulness of controlled attenuation parameter (CAP) in monitoring the clinically relevant outcome by MRI‐PDFF for non‐alcoholic fatty liver disease (NAFLD) patients.
Durabilité des capteurs à fibres optiques sous environnement radiatif

Nous avons etudie le comportement de capteurs repartis par retrodiffusion Brillouin dans des fibres optiques soumises a des environnements radiatifs pour la mesure de contraintes thermomecaniques. Le premier chapitre presente le besoin de mesure repartie par fibre optique pour le stockage sur site geologique des dechets radioactifs de moyennes et hautes activites vie longue (MA-VL et HA-VL) envisage par l’Andra. Le second chapitre precise la methodologie utilisee durant la these. Le choix de fibres optiques utilisees ainsi que les moyens de caracterisation exploites pour etudier l’evolution de la reponse des fibres optiques y sont presentes. Dans la troisieme partie, nous montrerons l’influence de l’exposition aux rayonnements UV sur le spectre Brillouin de certaines fibres optiques. La reponse de la fibre optique fortement dopees au Germanium montre une grande sensibilite de l’attenuation et des changements sur la frequence Brillouin induits par des rayonnements UV. Dans la quatrieme partie, nous montrerons les resultats de la methodologie appliquee pour la caracterisation de la reponse capteurs repartis par retrodiffusion Brillouin dans diverses fibres optiques au cours des irradiations gamma. Ces etudes ont permis de converger vers la conception d’une fibre optique speciale dopee au Fluor qui est adaptee l’application de surveillance d’alveole de stockage de dechets radioactifs de type HA-VL et MA-VL pendant une echelle seculaire
Etude du procédé d'élaboration et caractérisation de microdispositifs en silicium poreux pour la mesure du taux d'humidité

Les performances des microsystemes sont extremement lies a l’environnement et doivent generalement dependre le moins possible des perturbations exterieures, comme l’humidite de l’air. C’est pourquoi ces microdispositifs sont generalement encapsules dans un boitier hermetique qui permet a la fois de les connecter a une electronique, mais egalement de les proteger des variations du milieu exterieur. Mais ce type de boitiers qui represente plus de 80 % du cout du global d’un composant, est aussi a l’origine de pres de 80 % des defaillances. Ainsi, il s’avere interessant de placer directement sur le capot de silicium de l’encapsulation des capteurs environnementaux (pression, temperature, gaz) pour pouvoir caracteriser in situ l’atmosphere interne du boitier durant la phase d’assemblage, mais egalement durant la phase d’utilisation. Dans ce travail, nous avons choisi d’utiliser du silicium poreux comme materiau sensible a l’humidite, qui de par sa surface specifique elevee, permet d’augmenter la capacite d’absorption de l’humidite par rapport a un materiau massif et donc de realiser des capteurs les plus sensibles possible, tout en restant compatible avec les specificites induites par la technologie silicium. Pour cela, apres avoir mis au point le procede de fabrication des couches de silicium poreux par anodisation electrochimique et d’avoir caracterise leur morphologie (porosite, surface specifique), nous avons developpe deux types de micro capteurs d’humidites susceptibles d’etre integres a une encapsulation sur tranche constituant le boitier : des dispositifs statiques (capteurs impedimetriques) et des structures mobiles resonnantes.
Security, Risk and Trust in E-wallet Payment Systems: Empirical Evidence from Indonesia

The growth of e-commerce has created other technological innovations such as online payment initially developed by the banking industry, such as internet banking and mobile banking. However, e-wallet payment innovation has emerged as another online payment option provided by the non-banking sector. Unfortunately, the usage level of e-wallet payment in Indonesia is still considered relatively low compared to the country’s internet or even mobile internet usage. This study investigated how perceived risk, trust, and security influence the behavioural intention of e-wallet payment using extended variables commonly used in extended TAM or UTAUT using postgraduate students in universities in Indonesia. The data analysis used Structural Equation Model (SEM) with IBM-AMOS. This study found that perceived trust played a vital role in influencing the behavioural intention of e-wallet payment usage. Perceived trust also acted as a mediator of perceived security in predicting behaviour. The implication of it hopefully will give a direction for e-wallet providers in providing the service to the users and lead more potential users to use it.
Examining the Relationships between Teacher Self-Disclosure and Emotional and Behavioral Engagement of STEM Undergraduate Research Scholars: A Structural Equation

Understanding the factors contributing to the persistence and retention of students in science, technology, engineering, and mathematics (STEM) is among the main issues of concern within STEM post-secondary education. The literature suggests that teacher self-disclosure and emotional and behavioral engagement play a significant positive role in the learning process across disciplines. Such factors may lead to improved academic achievements and retention in STEM disciplines. A variety of studies examined the relationship between teacher self-disclosure and emotional and behavioral engagement within the field of humanities, but less within the fields of STEM. This study used structural equation modeling (SEM) to examine the relationship between teacher self-disclosure and emotional and behavioral engagement of 208 undergraduate students enrolled in a two-year Freshman Research Immersion program. The results showed significant relationships between different aspects of teacher self-disclosure and classroom engagement. Additionally, STEM students view that high amounts of teacher self-disclosure can be related to negative aspects of classroom engagement such as emotional engagement anxiety. The study’s significance lies in practical recommendations associated with the strategic use of instances of teacher self-disclosure while teaching STEM classes and ways to support STEM undergraduate students’ levels of classroom engagement.
Evaluating the Reliability of the U.S. Cooperative Observer Program Precipitation Observations for Extreme Events Analysis Using the LTAR Network

The detection and attribution of changes in precipitation characteristics relies on dense networks of rain gauges. In the United States, the COOP network is widely used for such studies even though there are reported inconsistencies due to changes in instruments and location, inadequate maintenance, dissimilar observation time, and the fact that measurements are made by a group of dedicated volunteers. Alternately, the Long-Term Agroecosystem Research (LTAR) network has been consistently and professionally measuring precipitation since the early 1930s. The purpose of this study is to compare changes in extreme daily precipitation characteristics during the warm season using paired rain gauges from the LTAR and COOP networks. The comparison, done at 12 LTAR sites located across the United States, shows underestimation and overestimation of daily precipitation totals at the COOP sites compared to the reference LTAR observations. However, the magnitude and direction of the differences are not linked to the underlying precipitation climatology of the sites. Precipitation indices that focus on extreme precipitation characteristics match closely between the two networks at most of the sites. Our results show consistency between the COOP and LTAR networks with precipitation extremes. It also indicates that despite the discrepancies at the daily time steps, the extreme precipitation observed by COOP rain gauges can be reliably used to characterize changes in the hydrologic cycle due to natural and human causes.
Lactic Acid Production from Sequential Inorganic Salt Pretreated Oil Palm Empty Fruit Bunch via Simultaneous Saccharification and Fermentation

Lactic acid is produced from inorganic salt pretreated oil palm empty fruit bunch (OPEFB) for the first time through simultaneous saccharification and fermentation (SSF). OPEFB is an agricultural waste that can be turned into lactic acid (LA), a highly desired chemical product. An inorganic salt (Na3PO4.12H2O-FeCl3) pretreatment precedes SSF with Bacillus coagulans DSM2314. The effect of solid loading, concentration CaCO3 and enzyme loading on LA generation is studied using design of experiments. The results show that solid loading and concentration CaCO3 affect LA yield. 50g/L biomass, 50g/L CaCO3 concentration, and 50 FPU/g cellulase enzyme yield maximal LA (46.66/L) and yield (0.93/g OPEFB). The model created to predict LA production was then validated.
IOT Based Three Phase Transmission Line Fault Detection

If we look at the current system of finding the transmission line error, there are a few problems, a few of them including a lack of skilled staff, increased risks and time-consuming processes. The automation process is known to solve many or all such problems that are common to normal processes. This is another such effort to create a simple and inexpensive solution that works for future Electric Power Transmission Plans providers and operators in different stages or channels. Transmission error detection system can detect an error when the line breaks and closes power supply with the wrong line until the operator closes the entire line once it has confirmed the error. The system monitors line error 3-line sequence namely Stages R, Y, B. If an error is detected the system sends a notification to the line The monitoring channel also provides information about the faulty line and the distance the line is located broken. The system is also capable of transmitting line voltage to the monitoring station.
Exploring the correlates of Facebook addiction and its impact on academic performance among youths of Tripura

Abstract Growing incidences of Facebook addiction or problematic Facebook use are fast becoming a matter of concern in the Western countries. The popularity of social networking sites is increasing in India as well, circumventing the barriers of age, gender, and place of residence. The rapid dispersal of Facebook is of particular concern as it has given rise to a new phenomenon termed as Facebook addiction, particularly among the students and youths. Little academic research has been done so far in a far-flung State in the North Eastern part of India. This paper attempts to fill this gap by studying Facebook Addiction among 3356 youth participants from the state of Tripura. Male participants were found to be significantly more at risk for Facebook addiction, as compared to the females. Utilizing the logistic regression model, this study could also bring into light the predictors and correlates of Facebook addiction which include the location of residence, educational qualification of parents, and the overall purpose of internet usage, such as online shopping, cloud storage, attending online classes and others. Dysfunctional or uncontrolled Facebook usage has also been found to be linked with adverse interference in the academic performance of the participants.
Relationship between Angiotensin-Converting Enzyme Insertion/Deletion Gene Polymorphism and Susceptibility of Minimal Change Nephrotic Syndrome: A Meta-Analysis

Aim. This meta-analysis was performed to evaluate the association between ACE I/D gene polymorphism and MCNS susceptibility. Method. A predefined literature search and selection of eligible relevant studies were performed to collect the data from electronic databases. Results. Six articles were identified for the analysis of association between ACE I/D gene polymorphism and MCNS risk, including 4 for Asians, one in Caucasian population and one for Africans. There was a markedly positive association between D allele or DD genotype and MCNS susceptibility in Asians (D: P = .01, DD: P = .02), but not for Caucasians and Africans (Caucasians: D: P = .16, DD: P = .98; Africans: D: P = .81, DD: P = .49). Furthermore, the II genotype seemed not to play a protective role against MCNS risk for Asians, Caucasians and Africans (P = .12, P = .09, P = .76, resp.). Interestingly, there was also significant association between ACE I/D gene polymorphism and MCNS susceptibility in overall populations (D: P = .007, DD: P = .04, II: P = .03). Conclusion. D allele or DD genotype might be a significant genetic molecular marker for MCNS susceptibility in Asians and overall populations, but not for Caucasians and Africans. More larger and rigorous genetic epidemiological investigations are required to further explore this association.
Simulations of Asian Yellow Dust Incursion Over Taiwan for the Spring of 2002 and 2003

Dust storms that occurred in East Asia during the spring of 2002 and 2003 were simulated by a regional dust deflation and transport model. Particular focus was placed on dust incursion events over Taiwan. Two of the events were analyzed in detail to give a complete picture of the three dimensional transport patterns. The general characteristics of dust incursion events were summarized, including the source locations, transport route and distribution pattern in three dimensions, traveling time, duration of incursion, and the seasonal spatial distribution of dust concentration. Significant differences were also found in these characteristics between the two years, the main cause of which was a change in regional climate patterns. The performance of the model developed for this study was evaluated against other dust forecast models, and found to have superior capability for forecasting in the Taiwan area.
Enhanced Slime Mould Optimization with Deep-Learning-Based Resource Allocation in UAV-Enabled Wireless Networks

Unmanned aerial vehicle (UAV) networks offer a wide range of applications in an overload situation, broadcasting and advertising, public safety, disaster management, etc. Providing robust communication services to mobile users (MUs) is a challenging task because of the dynamic characteristics of MUs. Resource allocation, including subchannels, transmit power, and serving users, is a critical transmission problem; further, it is also crucial to improve the coverage and energy efficacy of UAV-assisted transmission networks. This paper presents an Enhanced Slime Mould Optimization with Deep-Learning-based Resource Allocation Approach (ESMOML-RAA) in UAV-enabled wireless networks. The presented ESMOML-RAA technique aims to efficiently accomplish computationally and energy-effective decisions. In addition, the ESMOML-RAA technique considers a UAV as a learning agent with the formation of a resource assignment decision as an action and designs a reward function with the intention of the minimization of the weighted resource consumption. For resource allocation, the presented ESMOML-RAA technique employs a highly parallelized long short-term memory (HP-LSTM) model with an ESMO algorithm as a hyperparameter optimizer. Using the ESMO algorithm helps properly tune the hyperparameters related to the HP-LSTM model. The performance validation of the ESMOML-RAA technique is tested using a series of simulations. This comparison study reports the enhanced performance of the ESMOML-RAA technique over other ML models.
Imipenem/funobactam (formerly XNW4107) in vivo pharmacodynamics against serine carbapenemase-producing Gram-negative bacteria: a novel modelling approach for time-dependent killing

Abstract Background Imipenem/funobactam (formerly XNW4107) is a novel β-lactam/β-lactamase inhibitor with activity against MDR Acinetobacter baumannii, Pseudomonas aeruginosa and Enterobacterales strains. Using a neutropenic murine thigh infection model, we aimed to determine the pharmacokinetic/pharmacodynamic (PK/PD) index, relative to funobactam exposure, that correlated most closely with the in vivo efficacy of imipenem/funobactam combination and the magnitude of index required for efficacy against serine carbapenemase-producing clinical strains. Methods Dose-fractionation was conducted against three strains. Imipenem human-simulated regimen (HSR, 500 mg q6h 1 h infusion) efficacy in combination with escalating funobactam exposures against seven A. baumannii, four P. aeruginosa and four Klebsiella pneumoniae (imipenem/funobactam MICs 0.25–16 mg/L) was assessed as 24 h change in log10cfu/thigh. Results Increased funobactam fractionation enhanced efficacy, indicating time-dependent killing. Changes in log10cfu/thigh versus %fT > MIC were poorly predictive of efficacy; bactericidal activity was observed at %fT > MIC = 0%. Across different threshold plasma funobactam concentrations (CTs), %fT > CT(1 mg/L) had the highest correlation with efficacy. Normalizing the %fT > CT = 1 mg/L index to the respective isolate imipenem/funobactam MIC ([%fT > CT]/MIC) allowed integration of the isolate’s susceptibility, which further enhanced the correlation. Median (%fT > CT[1 mg/L])/MIC values associated with 1-log reductions were 9.82 and 9.90 for A. baumannii and P. aeruginosa, respectively. Median (%fT > CT[1 mg/L])/MIC associated with stasis was 55.73 for K. pneumoniae. Imipenem/funobactam 500/250 mg q6h 1 h infusion HSR produced >1-log kill against 6/7 A. baumannii, 4/4 P. aeruginosa and stasis against 4/4 K. pneumoniae. Conclusions Imipenem/funobactam showed potent in vivo efficacy against serine carbapenemase-producers. The novel PK/PD index (%fT > CT)/MIC appeared to best describe in vivo activity.
OPTIMISATION OF SELECTIVE COMPETITIVE TENDERING SYSTEM BY THE CONSTRUCTION CLIENT

The selective competitive tendering system is the most common method of contractor selection for capital works such as highways. By choosing the identity and number of contractors who shall tender, the client can control the competition to give the best value for money. For a client with a continuing programme of work this optimisation need not conflict with the objective of contractors to achieve a satisfactory and consistent return on their capital. The client can help to provide a framework in which contractors can do this by matching his demand for work to the available resources, assessing the effectiveness of the tendering competition, choosing only those contractors to tender who are truly competitive and encouraging contractors to improve the accuracy of their tendering. Methods are presented to assist in these tasks and it is concluded that the optimum number of contracts to invite to tender for highway schemes is that number which can usually be expected to be fully competitive under normal trading conditions. A statistical analysis of the bids submitted for highway schemes between 1970 and 1975 revealed how the system operated and that it behaved differently when demand for construction was high compared with the period of low demand. /Author/TRRL/
Fasting‐sensitive SUMO‐switch on Prox1 controls hepatic cholesterol metabolism

The liver is the major metabolic hub, ensuring appropriate nutrient supply during fasting and feeding. In obesity, accumulation of excess nutrients hampers proper liver function and is linked to non-alcoholic fatty liver disease. Understanding the signaling mechanisms that enable hepatocytes to quickly adapt to dietary cues, might help to restore balance in liver diseases. Post-translational modification by attachment of the Small Ubiquitin-like Modifier (SUMO), allows for a dynamic regulation of numerous processes including transcriptional reprograming. Here, we demonstrate that the specific SUMOylation of transcription factor Prox1 represents a nutrient-sensitive determinant of hepatic fasting metabolism. Prox1 was highly modified by SUMOylation on lysine 556 in the liver of ad libitum and re-fed mice, while this modification was strongly abolished upon fasting. In a context of diet-induced obesity, Prox1 SUMOylation became insensitive to fasting cues. Hepatocyte-selective knock in of a SUMOylation-deficient Prox1 mutant into mice fed a high fat/high fructose diet led to reduction of systemic cholesterol levels, associated with the induction of bile acid detoxifying pathways in mutant livers during fasting. As appropriate and controlled fasting protocols have been shown to exert beneficial effects on human health, tools to maintain the nutrient-sensitive SUMOylation switch on Prox1 may thus contribute to the development of “fasting-based” approaches for the maintenance of metabolic health.
Optimal No-Regret Learning for One-Sided Lipschitz Functions

Inspired by applications in pricing and contract design, we study the maximization of one-sided Lipschitz functions, which only provide the (weaker) guarantee that they do not grow too quickly in one direction. We show that it is possible to learn a maximizer for such a function while incurring O (log log T ) total regret (with a universal constant independent of the number of discontinuities / complexity of the function). This regret bound is asymptotically optimal in T due to a lower bound of Kleinberg and Leighton. By applying this algorithm, we show that one can sell digital goods to multiple buyers and learn the optimal linear contract in the principal-agent setting while incurring at most O (log log T ) regret.
Using Range and Range Rate for Relative Navigation

Abstract : This report documents an investigation into the use of range and range rate as an approach for navigating an underwater vessel relative to another vessel for formation maneuvering tasks. Range and range rate between underwater vehicles can be estimated using elapsed time and Doppler shift measurements done by modern acoustic modems. This approach has the potential to allow coordinated team maneuvering using existing vehicle communications without the need for offboard positioning systems, surfacing for GPS fixes, and communicating individual vessel positions periodically throughout the team. The relationship between range rate and Doppler shift is derived and field results from a submarine tracking range are presented to support the hypothesis that this can be an effective measure of relative motion. Equations for range, range rate, and range acceleration are derived and these equations are examined numerically and graphically to determine characteristics that might be useful for relative navigation. The report ends with a summary of potential approaches revealed for using range and range rate measurements for relative navigation.