Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Omics Analysis and Verification of the Oncogenic Value of CCT8 in Pan-Cancers

Background Chaperonin-containing TCP1 subunit 8 (CCT8) has been proved to be involved in the occurrence and development of some cancers. However, no study has reported the potential role of CCT8 in a pan-cancer manner. Methods TIMER2.0, GEPIA2, UALCAN and Sangerbox were used to explore the expression, prognosis and methylation of CCT8. We used cBioPortal, TISIDB, SangerBox, TIMER2.0 and TISMO to investigate the genetic alteration of CCT8 and the relationship of CCT8 with molecular subtype, immune subtype, immune infiltration and immunotherapy response. CCT8-related genes were screened out through GEPIA and STRING for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. CCK-8, the colony formation assay, the wound healing assay and the Transwell assay were performed to explore the influence of CCT8 on proliferation and migration. Results CCT8 was highly expressed in most cancers with a poor prognosis. The expression level of CCT8, which was affected by the promoter region methylation and genetic alteration, was related to the molecular and immune subtype of cancers. Interestingly, CCT8 was positively associated with the activated CD4 T cells and type 2 T-helper cells. CCT8 played a vital role in the cell cycle and RNA transport of cancers, and it significantly inhibited the proliferation and migration of lung adenocarcinoma cells when it was knocked down. Conclusion CCT8 plays an indispensable role in promoting the proliferation and migration of many cancers. CCT8 might be a biomarker of T-helper type 2 (Th2) cell infiltration and a promising therapeutic target for T-helper type 1(Th1)/Th2 imbalance.
Size effect on the magnetic phase in Sr4Ru3O10

High quality Sr4Ru3O10 nanoflakes are obtained by the scotch tape-based micro-mechanical exfoliation method. The metamagnetic transition temperature T m f l a k e is found to decrease in line with the decrease of thickness, while the ferromagnetic (FM) phase, the ordinary, and anomalous Hall effects (OHE and AHE) are independent on the thickness of the flake. Analysis of the data demonstrates that the AHE reflects the FM nature of Sr4Ru3O10, and the decrease of thickness favors the Ru moments aligned in the ab-plane, which induces a decrease of the metamagnetic transition temperature compared with the bulk.
Assessment of Air Pollution Tolerance and Physicochemical Alterations of Alstonia Scholaris along Roadsides of Lahore, Pakistan

Air pollution has become a severe urban environmental and health problem in several countries around the globe. Air pollutants also affect the physiological, morphological and biochemical processes in plants such as stomatal function, photosynthesis, respiration, leaf area, chlorophyll content, amino acid, pH and plant growth. Lahore is the second largest city in Pakistan facing tremendous stress of vehicle emission. This study evaluated the air pollution tolerance potential of Alstonia scholaris growing along the busiest roads of Lahore city using air pollution tolerance level and physicochemical alterations. Leaf area, ascorbic acid content (AAC), total chlorophyll (TCh) content, leaf extract pH, relative water content (RWC), and dust accumulation on leaf surface were measured for the roadside plantation and compared with the control plants (at background sites, 20 km away from polluted sites). Average value of AAC, TCh content, leaf extract pH, and RWC of A. scholaris in the roadside plantation were, 0.0380 mg g –1 , 0.0537 mg g –1 , 5.94 and 68.3%, respectively. The average value of dust accumulation on the leaf surface 0.381 mg mm –2 and leaf area 1482 mm 2 were higher in roadside than control site. APTI value (0.221) observed for A. scholaris in the roadside plantation was significantly higher than that at the control site (0.165). It is concluded that the air pollution tolerance ability of A. scholaris was higher along the polluted roads of Lahore than in the background control site. Leaf area, AAC, TCh and APTI decrease as traffic flows increase, indicating that the health of A. scholaris was affected by traffic flow.
Identifying Candidate Genes for Litter Size and Three Morphological Traits in Youzhou Dark Goats Based on Genome-Wide SNP Markers

This study aimed to reveal the potential genetic basis for litter size, coat colour, black middorsal stripe and skin colour by combining genome-wide association analysis (GWAS) and selection signature analysis and ROH detection within the Youzhou dark (YZD) goat population (n = 206) using the Illumina GoatSNP54 BeadChip. In the GWAS, we identified one SNP (snp54094-scaffold824-899720) on chromosome 11 for litter size, two SNPs on chromosome 26 (snp11508-scaffold142-1990450, SORCS3) and chromosome 12 (snp55048-scaffold842-324525, LOC102187779) for coat colour and one SNP on chromosome 18 (snp56013-scaffold873-22716, TCF25) for the black middorsal stripe. In contrast, no SNPs were identified for skin colour. In selection signature analysis, 295 significant iHS genomic regions with a mean |iHS| score > 2.66, containing selection signatures encompassing 232 candidate genes were detected. In particular, 43 GO terms and one KEGG pathway were significantly enriched in the selected genes, which may contribute to the excellent environmental adaptability and characteristic trait formation during the domestication of YZD goats. In ROH detection, we identified 4446 ROH segments and 282 consensus ROH regions, among which nine common genes overlapped with those detected using the iHS method. Some known candidate genes for economic traits such as reproduction (TSHR, ANGPT4, CENPF, PIBF1, DACH1, DIS3, CHST1, COL4A1, PRKD1 and DNMT3B) and development and growth (TNPO2, IFT80, UCP2, UCP3, GHRHR, SIM1, CCM2L, CTNNA3 and CTNNA1) were revealed by iHS and ROH detection. Overall, this study is limited by the small population size, which affects the results of GWAS to a certain extent. Nevertheless, our findings could provide the first overview of the genetic mechanism underlying these important traits and provide novel insights into the future conservation and utilisation of Chinese goat germplasm resources.
Extracellular Vesicles Released by Genetically Modified Macrophages Activate Autophagy and Produce Potent Neuroprotection in Mouse Model of Lysosomal Storage Disorder, Batten Disease

Over the recent decades, the use of extracellular vesicles (EVs) has attracted considerable attention. Herein, we report the development of a novel EV-based drug delivery system for the transport of the lysosomal enzyme tripeptidyl peptidase-1 (TPP1) to treat Batten disease (BD). Endogenous loading of macrophage-derived EVs was achieved through transfection of parent cells with TPP1-encoding pDNA. More than 20% ID/g was detected in the brain following a single intrathecal injection of EVs in a mouse model of BD, ceroid lipofuscinosis neuronal type 2 (CLN2) mice. Furthermore, the cumulative effect of EVs repetitive administrations in the brain was demonstrated. TPP1-loaded EVs (EV-TPP1) produced potent therapeutic effects, resulting in efficient elimination of lipofuscin aggregates in lysosomes, decreased inflammation, and improved neuronal survival in CLN2 mice. In terms of mechanism, EV-TPP1 treatments caused significant activation of the autophagy pathway, including altered expression of the autophagy-related proteins LC3 and P62, in the CLN2 mouse brain. We hypothesized that along with TPP1 delivery to the brain, EV-based formulations can enhance host cellular homeostasis, causing degradation of lipofuscin aggregates through the autophagy–lysosomal pathway. Overall, continued research into new and effective therapies for BD is crucial for improving the lives of those affected by this condition.
Dependencies of Shear Wave Velocity and Shear Modulus of Soil on Saturation

AbstractShear wave propagation in soil is a physical phenomenon and has been used widely for monitoring and seismic property assessment in geotechnical engineering. Shear wave velocity Vs and small-strain shear modulus G0 are the key parameters in defining material response to various dynamic loadings. To date, the dependencies of Vs and G0 on saturation, especially in high suction range, are still not well understood because of the limited testing methodology and experimental evidence. In this study, the authors present a new laboratory instrumentation of measuring shear wave propagation in different types of unsaturated soils. Low relative humidity and water mist injection environment are used for measuring shear wave velocity under both drying and wetting conditions. Bender element technique was used to measure the shear wave responses. Step function was used as excitation, and determination of a first arrival time was identified and consistently used for all shear wave measurements. Shear wave evoluti.
Rotational excitation of HCO+ by H2

Cross-sections and rate coefficients have been calculated for rotational transitions between levels J ≤ 20 of HCO+, induced by collisions with ground state (J = 0) para-H2. Results were obtained for temperatures in the range 10 ≤ T ≤ 400 K, extending previous work by Monteiro, who considered T ≤ 30 K and presented rate coefficients for J ≤ 4. Good agreement is obtained with the results of Monteiro at low temperatures.
A Compact Upconversion Single-Photon Imager for Full-Range and Accurate 3-D Imaging

The rapid development of single-photon detection technology offers the possibility for an imaging system to go beyond traditional limits. Recently, single-photon imagers based on the upconversion technique have achieved unprecedentedly high resolution and noise tolerance in 3-D imaging. Nevertheless, the limited imaging range, complicated optical path, and long data acquisition time impose remaining challenges to practical applications. In this work, we build an upconversion single-photon imager for full-range and accurate 3-D imaging. A compact all-fiber design allows our system to work robustly in an open environment. Compared to the previous imagers, the imaging speed is increased by three orders of magnitude due to the high upconversion efficiency and photon-efficient algorithm. With the application of a high-repetition laser and a nanosecond optical delay line (ODL), we achieve full-range imaging under the upconversion scheme against high solar background noise. For close-up scenes, our imager achieves ultrahigh axial resolution up to $20 \mu \text{m}$ , which is not affected by the time jitter or pileup effect of the single-photon detector. Our proposal can stimulate practical applications in sophisticated scenarios.
A Novel Iterative Second-Order Neural-Network Learning Control Approach for Robotic Manipulators

Iterative Learning Control (ILC) is known as a high-accuracy control strategy for repetitive control missions of mechatronic systems. However, applying such learning controllers for robotic manipulators to result in excellent control performances is now a challenge due to unstable behaviors coming from nonlinearities, uncertainties and disturbances in the system dynamics. To tackle this challenge, in this paper, we present a novel proportional-derivative iterative second-order neural-network learning control (PDISN) method for motion-tracking control problems of robotic manipulators. The control framework is structured from time- and iterative-base control layers. First of all, the total systematic dynamics are concretely stabilized by a conventional Proportional-Derivative (PD) control signal in the time domain. The control objective is then accomplished by using an intelligent ILC decision generated in the second layer to compensate for other nonlinear uncertainties and external disturbances in the dynamics. The iterative signal is flexibly composed from various information on the iterative axis. On one hand, the previous iterative control signal is inherently reused in the current iteration but with an appropriate portion based on reliability of the current control performance. On the other hand, the iterative-based modeling deviation remaining is treated by a functional neural network that is specially activated by a second-order learning law and information synthesized from the current and previous iterations. Stabilities of the time-based nonlinear subsystem and overall system are rigorously analyzed using extended Lyapunov theories and high-order regression series criteria. Effectiveness of the proposed controller was intensively verified by the extensive comparative simulation results. Key advantages of the proposed control method are chattering-free, universal, adaptive, and robust.
On The Fastness of the Convergence between Mann and Noor Iteration for the Class of Zamfirescu Operators

Operator theory owes its origin in the book titled "Theorie des Operators Lineaires" by Stefan Banach before the middle of 20 th century. The convergence of a class of operators is important since a number of iterations have been developed. The aim of this paper is to established that the Mann iteration converges faster than the Noor Iteration for the class of Zamfirescu operators of an arbitrary closed convex subset of a Banach Space.
Mutation Testing in Continuous Integration: An Exploratory Industrial Case Study

Despite its potential quality benefits, the cost of mutation testing and the immaturity of mutation tools for many languages have led to a lack of adoption in industrial software development. In an exploratory case study at Zenseact—a company in the automotive domain—we have explored how mutation testing could be effectively applied in a typical Continuous Integration-based workflow. We evaluated the capabilities of C++ mutation tools, and demonstrate their use in GitHub Actionsbased CI workflows. Our investigation reveals that Dextool and Mull could be used in a CI workflow. Additionally, we conducted an interview study to understand how developers would use mutation testing in their CI workflows. Based on our qualitative analysis and practices proposed in literature, we discuss recommendations to integrate mutation testing in a CI workflow. For instance, visualising trends in the mutation score enable practitioners to understand how test quality is evolving. Moreover, tools should have a balance between offering fast feedback and keeping or flagging relevant mutants. Lastly, practitioners raised the need that the mutation should be applied at commit level, and that developers inexperienced with mutation testing should be trained in the implications of the practice.
Metal-Semiconductor Transition Concomitant with a Structural Transformation in Tetrahedrite Cu 12 Sb 4 S 13

The tetrahedrite Cu12Sb4S13 undergoes a metal–semiconductor transition (MST) at TMST = 85 K, whose mechanism remains elusive. Our Cu 2p X-ray photoemission spectroscopy study revealed the monovalent state of Cu ions occupying the two sites in this compound. This fact excludes the possibilities of previously proposed antiferromagnetic order and Jahn–Teller instability inherent in a divalent Cu system. A synchrotron X-ray diffraction study has revealed that the body-centered cubic cell of Cu12Sb4S13 transforms into a body-centered 2a × 2a × 2c tetragonal supercell below TMST, where the cell volume per formula unit expands by 0.25%. We have further studied pressure effects on the MST as well as the effects of the substitution of As for Sb. The application of pressure above 1 GPa completely inhibits the MST and leads to a metallic state, suggesting that the low-temperature structure with a larger volume becomes unstable under pressure. The As substitution also reduces the volume and suppresses the MST but the.
Athlete Preferences for Nutrition Education: Development of and Findings from a Quantitative Survey

Nutrition education (NE) is one of several strategies aimed at enhancing the dietary intake of athletes. This study investigated NE preferences of New Zealand and Australian athletes competing nationally and internationally. Athletes (n = 124, 22 (18, 27) years, female 54.8%) from 22 sports completed an online survey, with responses analysed using descriptive statistics. Teaching techniques considered ‘extremely effective’ were life examples (47.6% of athletes), hands-on activities (30.6%), and discussions with a facilitator (30.6%). Setting personal nutrition goals was important to most athletes (83.9%), along with two-way feedback with a facilitator (75.0%). General nutrition topics considered ‘essential’ were energy requirements (52.9%), hydration (52.9%), and nutrient deficiencies (43.3%). Performance topics considered ‘essential’ were recovery (58.1%), pre-exercise nutrition (51.6%), nutrition during exercise (50.0%), and energy requirements for training (49.2%). Athletes preferred a ‘combination of in-person group and one-on-one sessions’ (25% of athletes), ‘one-on one sessions’ (19.2%) and ‘in-person group sessions’ (18.3%), with only 13.3% interested in ‘exclusively online delivery’. Sessions of 31–60 min (61.3% of athletes) held monthly (37.5%) and undertaken with athletes of the same sporting calibre (61.3%) were favoured by the participants. The preferred facilitator was a performance dietitian or nutritionist (82.1% of athletes), who had knowledge of the sport (85.5%), experience in sports nutrition (76.6%), and credibility (73.4%). This research provides novel insights into the factors that need to be considered when designing and implementing nutrition education for athletes.
NUMERICAL STUDY OF STOKES FLOW OF A NANO FLUID INSIDE A MICRON SIZE NOZZLE

This paper numerically studies the Stokes flow for a nano fluid with three different nanoparticle void fractions (2.5%, 5% and 7%) inside a straight and smooth micron size nozzle. Flow inside micron size nozzles is characterized by Reynolds number (Re) that remains less than unity (Stokes or creeping flows). In the literature there exist experimental results that validate the macroscopic flow theory inside micron size flow channels, however in most cases the Reynolds number for these experiments were not less than unity which is the essence of Stokes flow. In this study flow inside a micron size nozzle is numerically investigated at (0.001 ≤ Re ≤ 0.1) in order to verify the macroscopic Stokes theory. The effect of Reynolds number, particle size and particle concentration has been studied. It is found that even at these Reynolds number the flow of nanofluid inside a micron size nozzle follows the macroscopic theory of fluid mechanics.
Real-Flight Reynolds Number Microphone-Array Measurements on a Scaled Model in ETW

This paper presents an experimental investigation of small-scale model airframe noise at real-flight Reynolds numbers. The study consists of data acquired with a microphone array in the European Transonic Windtunnel (ETW). The advantage of the ETW is to enable testing simultaneously at cryogenic temperatures and increased pressure levels, which extends the range of achievable Reynolds numbers up to those pertaining full scale flight. At the German Aerospace Center (DLR), the microphone-array measurement technique has been further developed to perform measurements under combined cryogenic and pressurized conditions. For this purpose, a microphone-array consisting of 96 microphones was designed and constructed. In this paper, aeroacoustic results are presented for various Reynolds numbers up to real-flight Reynolds numbers using an Airbus K3DY half-model of scale 1:13.6. The results showed a significant Reynolds number dependency for various sources. Of particular note are various dominant sources appearing on the flap at real-flight Reynolds numbers. To the authors’ knowledge, this is the first time that airframe noise data of a small-scale model have been acquired at real-flight Reynolds numbers.
A Current Noise Cancellation Method Based on Integration of Stator Synchronized Currents for Bearing Fault Diagnosis

In bearing fault diagnosis using motor stator currents, anything unrelated to the fault characteristic frequencies is considered “noise. ” Noise cancellation provides a better estimation of the bearing fault signal. This article aims to develop a noise cancellation method for a better estimation of the bearing fault signal in induction motors (IMs) using three current signals, rather than just one. The article proposes a method of time shifting in two phases of the three-phase current and integrating them with the third phase current as a noise cancellation method. The proposed method efficiently diagnoses bearing fault characteristic frequencies in spectral analysis. Simulation and experimental results confirm the effectiveness of the proposed method in detecting outer/inner raceway and ball bearing faults.
Eating Disorder Attitudes and Body Self-Image of Urban Mediterranean Adolescents

Background: Early detection tools for eating disorders play an essential role in their prevention. The aim of this study was to analyze different variables associated with the risk of eating disorders and their relation to anthropometric parameters, nutritional status and body self-image. Methods: The Eating Disorder Invetory-3 Referral Form (EDI-3 RF) and the Body Shape Questionnaire (BSQ) were administered to 809 adolescents (413 boys and 396 girls), aged 11 to 17 years, from three randomly chosen schools in a big Mediterranean city. Anthropometric measurements were taken following standardized methods. Overweight and obesity were determined according to the International Obesity Task Force (IOTF). Results: Overweight (23%) prevailed over obesity (9.37%). Girls registered a higher score in the Obsession for Thinness EDI-3 RF subscale and in the body dissatisfaction section of the BSQ. The only statistically significant differences in the Obsession for Thinness and Body Dissatisfaction levels among the different ages were seen in boys. In this series, body dissatisfaction assessed by the EDI-3 RF was not correlated with BSQ body dissatisfaction. Sex and age in adolescence determine the relationship between eating disorder attitudes and body shape dissatisfaction. Conclusions: It is necessary to look for other parameters to investigate to determine body dissatisfaction.
APPLICATION OF MFCAV RIEMANN SOLVER TO MAIRE'S CELL-CENTERED LAGRANGIAN METHOD *

In this paper, we apply arbitrary Riemann solvers, which may not satisfy the Maire’s requirement, to the Maire’s node-based Lagrangian scheme developed in [P. H. Maire et al., SIAM J. Sci. Comput, 29 (2007), 1781-1824]. In particular, we apply the so-called Multi-Fluid Channel on Averaged Volume (MFCAV) Riemann solver and a Riemann solver that adaptively combines the MFCAV solver with other more dissipative Riemann solvers to the Maire’s scheme. It is noted that neither of the two solvers satisfies the Maire’s requirement. Numerical experiments are presented to demonstrate that the application of the two Riemann solvers is successful.