Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilizing a nanobody recruitment approach for assessing serine palmitoyltransferase activity in ER sub-compartments of yeast

Sphingolipids (SP) are one of the three major lipid classes in eukaryotic cells and serve as structural components of the plasma membrane. The rate-limiting step in SP biosynthesis is catalyzed by serine palmitoyltransferase (SPT). In yeast, SPT consists of two catalytic subunits (Lcb1 and Lcb2), a regulatory subunit (Tsc3), negative regulators (Orm1 and Orm2), and the phosphatidylinositol-4-phosphate (PI4P) phosphatase Sac1, collectively known as the SPOTS complex. Regulating SPT activity enables cells to adapt SP metabolism to changing environmental conditions. Therefore, the Orm proteins are phosphorylated by two signaling pathways originating from either the plasma membrane localized target of rapamycin (TOR) complex 2 or the lysosomal/vacuolar TOR complex 1. Moreover, uptake of exogenous serine is necessary for the regulation of SP biosynthesis, which suggests the existence of differentially regulated SPT pools based on their intracellular localization. However, tools for measuring lipid metabolic enzyme activity in different cellular compartments are currently not available. We have developed a nanobody recruitment system that enables the re-localization of the SPOTS complex to the nuclear or peripheral ER. By combining this system with sphingolipid flux analysis, we have identified two distinct active SPT pools in cells. Our method thus serves as a new and versatile tool to measure lipid metabolism with sub-cellular resolution.
Targeting wild-type IDH1 enhances chemosensitivity in pancreatic cancer

Pancreatic cancer (PC) is one of the most aggressive types of cancer, with a five-year overall survival rate of 11% among all-comers. Current systemic therapeutic options are limited to cytotoxic chemotherapies which have limited clinical efficacy and are often associated with development of drug resistance. Analysis of The Cancer Genome Atlas showed that wild-type isocitrate dehydrogenase (wtIDH1) is overexpressed in pancreatic tumors. In this study, we focus on the potential roles of wtIDH1 in pancreatic cancer chemoresistance. We found that treatment of pancreatic cancer cells with chemotherapy induced expression of wtIDH1, and this serves as a key resistance factor. The enzyme is protective to cancer cells under chemotherapy-induced oxidative stress by producing NADPH and alpha-ketoglutarate to maintain redox balance and mitochondrial function. An FDA-approved mutant IDH1 inhibitor, ivosidenib (AG-120), is actually a potent wtDH1 inhibitor under a nutrient-deprived microenvironment, reflective of the pancreatic cancer microenvironment. Suppression of wtIDH1 impairs redox balance, results in increased ROS levels, and enhances chemotherapy induced apoptosis in pancreatic cancer vis ROS damage in vitro. In vivo experiments further revealed that inhibiting wtIDH1 enhances chemotherapy anti-tumor effects in patient-derived xenografts and murine models of pancreatic cancer. Pharmacologic wtIDH1 inhibition with ivosidenib represents an attractive option for combination therapies with cytotoxic chemotherapy for patients with pancreatic cancer. Based on these data, we have initiated phase Ib trial combining ivosidenib and multi-agent chemotherapy in patients with pancreatic cancer (NCT05209074).
Particle Swarm Optimization (PSO) Fuzzy Systems and NARMAX Approaches Trade-Off Applied to Thermal-Vacuum Chamber Identification

Two nonlinear identification methods are employed in this paper in an experimental comparative approach to generate dynamical models for a thermal-vacuum system. Used for space environment emulation and satellite qualification, a thermal-vacuum chamber presents highly nonlinear and time-delay characteristics. While, in the first nonlinear identification approach, Particle Swarm Optimization (PSO) derive a Takagi-Sugeno fuzzy model, the second one was based on NARMAX polynomial identification technique. PSO is a stochastic global optimization technique that uses a population of particles, where the position and velocity of each particle represent a solution to the problem. It is employed as an auxiliary mechanism for finding out a T-S fuzzy model. The NARMAX polynomial identification technique uses a criterion called Error Reduction Ratio (ERR) computed by employing an orthogonal least squares method whose terms are selected in a forward-regression manner. Results indicate that both methods are feasible solutions for eliciting models from the available data.Copyright © 2006 by ASME
A 345-GHz Sideband-Separating Receiver Prototype With Ultra-Wide Instantaneous Bandwidth

In this article, we present a sideband-separating (2SB) receiver prototype for operation between 300 and 360 GHz with ultra-wide instantaneous bandwidth. This was achieved using wide-bandwidth superconductor–insulator–superconductor (SIS) mixer designs and intermediate frequency (IF) components, including a multioctave IF hybrid placed outside the cryostat. We tested the prototype with a three-junction SIS device from the wideband Submillimeter Array high-band receiver, as well as a newly designed one-junction device. Our measurements demonstrated that the prototype receiver had a usable IF range of 4–13 GHz with the one-junction device and 4–17 GHz with the three-junction device. The measured single-sideband (SSB) noise temperatures were 96<inline-formula><tex-math notation="LaTeX">$\,\pm \,$</tex-math></inline-formula>8 K from 312 to 363 GHz with the one-junction device and 109<inline-formula><tex-math notation="LaTeX">$\,\pm \,$</tex-math></inline-formula>14 K from 314 to 367 GHz with the three-junction device. Over the same frequency range, the image rejection ratio was above 12.3 and 11.0 dB for 90% of the data points with the one-junction and three-junction devices, respectively. We have identified methods to further enhance the performance of this prototype and we believe that an upgraded receiver can provide a usable IF bandwidth up to 4–20 GHz.
Laser-induced effects in Raman spectra of single-wall carbon nanotubes

Two effects induced by increasing power density of a probe laser beam are discovered in Raman spectra of single-wall nanotubes: the irreversible disappearance of the 'breathing' Raman modes of small-diameter nanotubes (0.8 — 1 nm) and the reversible appearance of additional 'breathing' modes from nanotubes with diameters 0.1 — 0.3 nm smaller than the diameters of nanotubes undergoing resonance Raman excitation at room temperature. The thermal nature of these effects is confirmed by their reproducibility upon heating of the material in an optical oven.
Finite Element Model-Computed Mechanical Behavior of Femurs with Metastatic Disease Varies Between Physiologic and Idealized Loading Simulations

Background and objectives: Femurs affected by metastatic bone disease (MBD) frequently undergo surgery to prevent impending pathologic fractures due to clinician-perceived increases in fracture risk. Finite element (FE) models can provide more objective assessments of fracture risk. However, FE models of femurs with MBD have implemented strain- and strength-based estimates of fracture risk under a wide variety of loading configurations, and “physiologic” loading models typically simulate a single abductor force. Due to these variations, it is currently difficult to interpret mechanical fracture risk results across studies of femoral MBD. Our aims were to evaluate (1) differences in mechanical behavior between idealized loading configurations and those incorporating physiologic muscle forces, and (2) differences in the rankings of mechanical behavior between different loading configurations, in FE simulations to predict fracture risk in femurs with MBD. Methods: We evaluated 9 different patient-specific FE loading simulations for a cohort of 54 MBD femurs: strain outcome simulations—physiologic (normal walking [NW], stair ascent [SA], stumbling), and joint contact only (NW contact force, excluding muscle forces); strength outcome simulations—physiologic (NW, SA), joint contact only, offset torsion, and sideways fall. Tensile principal strain and femur strength were compared between simulations using statistical analyses. Results: Tensile principal strain was 26% higher (R2 = 0.719, P < .001) and femur strength was 4% lower (R2 = 0.984, P < .001) in simulations excluding physiologic muscle forces. Rankings of the mechanical predictions were correlated between the strain outcome simulations (ρ = 0.723 to 0.990, P < .001), and between strength outcome simulations (ρ = 0.524 to 0.984, P < .001). Conclusions: Overall, simulations incorporating physiologic muscle forces affected local strain outcomes more than global strength outcomes. Absolute values of strain and strength computed using idealized (no muscle forces) and physiologic loading configurations should be used within the appropriate context when interpreting fracture risk in femurs with MBD.
Impact of antioxidants in improving semen parameters like count, motility and DNA fragmentation in sub-fertile males: a randomized, double-blind, placebo-controlled clinical trial

Male infertility is solely responsible for 20–30% of infertility cases. Oxidative damage of sperm DNA is positively linked with oligoasthenoteratozoospermia (OAT), and male infertility. The antioxidants are being explored worldwide to combat OAT, sperm DNA fragmentation and reactive oxygen species. The objective of the study was to assess the effectiveness of an antioxidant blend in improving sperm count, semen parameters and reducing DNA fragmentation index (DFI) in sub-fertile males. A prospective, double-blind, randomized, placebo-controlled trial was conducted in 300 sub-fertile males (25–45 years) from ten study sites in India. Subjects were randomized in either the antioxidant blend treatment group or placebo group. We assessed changes in sperm count, motility, normal morphology, semen volume, and percent DFI before and after treatment (90 days). To further stratify data on different criteria post hoc analysis was performed. Statistical analysis was performed using SPSS 10.0 software. There were improvements in sperm count, semen volume, sperm motility, and sperm normal morphology in the treatment group. There was improvement in sperm count in severe oligospermia subjects (sperm count < 5 million/mL, 5–10 million/mL, 10.1–15 million/mL), and high-extremely higher baseline DFI (20–30%, 31–40% and above 40%), as per post hoc analysis. There was no premature discontinuation and adverse events were reported during the study, indicating safety and well-tolerability of treatment. Study results confirmed the well-researched fact of antioxidants being effective to reduce oxidative stress and thus improve sperm DNA integrity and also improved semen parameters in males aged 40 and above. Trial Registration Clinical Trials Registry-India Identifier: CTRI/2020/12/029590
Extremely low threshold (AlGa)As modified multiquantum well heterostructure lasers grown by molecular‐beam epitaxy

It is shown that by modifying the layer structures of the conventional multiquantum well (MQW) lasers, extremely low Jth of 250 A/cm2 (averaged value) for broad‐area Fabry–Perot diodes of 200×380 μm was obtained. This was achieved as a result of utilizing the beneficial effects of the two‐dimensional nature of the confined carriers, the improved injection efficiency of the carriers into the GaAs wells, and an increased optical confinement factor in these modified MQW lasers. It was also determined that for low threshold operation the optimal AlAs composition x in the AlxGA1−xAs barrier layers is about 0.19 when GaAs wells are used and for barrier and well thicknesses ≳30 and 100 A, respectively.
Non‐Gaussian statistics in isotropic turbulence

Several measures of non‐Gaussian behavior in simulations of decaying isotropic turbulence are compared with predictions of the direct‐interaction approximation (DIA) at an initial Rλ≈35. The quantities studied include the variances and wavenumber power spectra of (a) the total nonlinear term in the Navier–Stokes equation, (b) the time derivative of the velocity at a point, (c) pressure fluctuations, and (d) vorticity and dissipation fluctuations. The direct‐interaction approximation gives a good quantitative prediction of the variance of the time derivative and the variance of total nonlinear term, and a fair qualitative prediction of the power spectrum associated with the latter. But DIA totally fails to capture the non‐Gaussian statistics associated with pressure fluctuation and vorticity spottiness. Some discussion is given of demands that vorticity and dissipation statistics place upon theories of tubulence at moderate and high Reynolds numbers.
TESTS FOR FRACTIONAL INTEGRATION: A MONTE CARLO INVESTIGATION

Abstract. The performance of the Geweke‐Porter‐Hudak (GPH) test, the modified rescaled range (MRR) test and two Lagrange multiplier (LM) type tests for fractional integration in small samples is examined using Monte Carlo methods. Both the GPH and MRR tests are found to be robust to moderate autoregressive moving‐average components, autoregressive conditional heteroskedasticity effects and shifts in the variance. However, these two tests are sensitive to large autoregressive moving‐average components and shifts in the mean. It is also found that the LM tests are sensitive to deviations from the null hypothesis. As an illustration, the GPH test is applied to two economic data series.
All-optical switches on a silicon chip realized using photonic crystal nanocavities

We demonstrate all-optical switching in the telecommunication band, in silicon photonic crystals at high speed (∼50ps), with extremely low switching energy (a few 100fJ), and high switching contrast (∼10dB). The devices consist of ultrasmall high-quality factor nanocavities connected to input and output waveguides. Switching is induced by a nonlinear refractive-index change caused by the plasma effect of carriers generated by two-photon absorption in silicon. The high-quality factor and small mode volume led to an extraordinarily large reduction in switching energy. The estimated internal switching energy in the nanocavity is as small as a few tens of fJ, indicating that further reduction on the operating energy is possible.
Fast super-resolution algorithms using one-dimensional patch-based training and directional interpolation

This study proposes fast super-resolution algorithms to up-scale an input low-resolution image into a high-resolution image. Conventional learning-based super-resolution algorithms require large memory space to store a huge amount of synthesis information, and they require significant computation because of the large number of two-dimensional matching operations. To mitigate this problem, the authors train a dictionary using one-dimensional patch-based training and K-means clustering at the learning phase, and they use one-dimensional matching and interpolation based on the trained dictionary at the synthesis phase. Such one-dimensional content-adaptive interpolation is applied separately in horizontal and vertical directions. In addition, the authors propose a hybrid algorithm in which directional interpolation is utilised for vertical interpolation to further reduce the dictionary size and the so called staircase artefact. Simulation results show that the proposed algorithm has higher peak-to-peak signal-to-noise ratio (PSNR) and structure similarity (SSIM) values while providing significantly smaller dictionary size and faster computation than the latest learning-based super-resolution algorithm.
Hardware‐in‐the‐loop validation of an adaptive model predictive control on a connected and automated vehicle

Connected and automated vehicles will characterize the future of the mobility, featured by Smart Roads and Internet of Things technologies. Vehicles will behave as mobile nodes of a network enabling communication between them and with respect to the road infrastructure. In order to provide advanced driver assistance and automated driving along a Smart Road, control strategies need to take into account both parametric variations due to environmental and/or weather conditions (e.g., wind speed, presence of ice, and/or rain), and constraints related to road safety and vehicular traffic. For this reason, advanced adaptive control strategies result particularly suitable to provide a complete control of the vehicle. This article proposes an extension to a previous conference paper, concerning a Processor in the Loop testing of an Adaptive Model Predictive Control for coupled longitudinal/lateral vehicle dynamics, where the ego vehicle was simulated through a bicycle model. In the present work, a low‐cost real‐time Hardware In the Loop test bench, featured by Raspberry boards, is used to verify the control strategy in a way closer to a real application. A four‐wheel vehicle dynamic model is considered to simulate the ego vehicle, then robustness and sensitivity tests with respect to parametric variations related to road friction, wind speed and vehicle mass, and a comparison with an existing adaptive MPC are performed. The achieved results show good robustness properties, safety performances and confirm the real‐time execution of the control strategy, paving the way for future developments, where the goal will be the testing in a real road scenario by using an IoT gateway purposefully designed by the NetCom company.
Molecular Investigation of the Fatal Bloodstream Candida orthopsilosis Infection Case following Gastrectomy

Candida orthopsilosis represents a closely related cryptic genospecies of Candida parapsilosis complex-misidentified in routine diagnostic assays. This is emerging in settings where central venous catheters, invasive medical interventions, and echinocandin treatments are most likely to be used. A 59-year-old, non-neutropenic male patient, was admitted to an intensive care unit (ICU) due to respiratory distress syndrome, following a partial gastrectomy. As a result of duodenal stump leakage, re-laparotomy was required, abdominal drains were provided and central line catheters were exchanged. Multiple isolates of Candida orthopsilosis drawn from consecutive blood cultures were identified, despite ongoing echinocandin therapy and confirmed in vitro echinocandins susceptibility of the isolated strain. Species identification was verified via ITS region sequencing. Herein, we report the well-documented—per clinical data and relevant laboratory diagnosis—first case of a bloodstream infection caused by Candida orthopsilosis in Poland.
Efecto de la frecuencia de corte y la precipitación en el rendimiento de Cratylia argentea orgánica

Esta investigacion tuvo como objetivo, analizar el efecto de la edad de cosecha y la estacion climatica al momento de la cosecha, sobre el rendimiento de la Cratylia argentea Cv. Veraniega en un sistema de manejo organico, desde marzo de 2014 hasta abril 2015. Para este fin se utilizo un diseno irrestricto al azar con arreglo factorial, donde se aleatorizaron tres edades de cosecha del forraje (60, 75 y 90 dias) y dos estaciones (lluviosa y seca) en parcelas de 50 m 2 . Cada tratamiento tuvo tres repeticiones. La edad de cosecha y la estacion climatica influyen en la produccion de materia seca y en la composicion nutricional del forraje. Conforme aumenta la edad del forraje se incrementa la cantidad de materia seca producida por hectarea; sin embargo, aunque aumenta la cantidad de biomasa producida por hectarea, la calidad de la misma es inferior, ya que, conforme aumenta la edad de cosecha se reduce la cantidad de proteina y la digestibilidad del forraje, ademas se da un incremento de los componentes de la fibra, los cuales son menos aprovechables por el animal. La degradabilidad de la proteina fue afectada por la edad de cosecha y por la estacion climatica, los valores oscilaron entre 79 – 91 %/h. A pesar de esto, el forraje de Cratylia argentea bajo manejo organico, posee un adecuado contenido de nutrimentos para ser utilizado en dietas de animales rumiantes, ya que permite sostener producciones de 3,01 – 3,26 kg de leche/vaca/dia por cada 10 kg de material fresco de acuerdo al requerimiento de proteina cruda.
ESTIMATION OF LOCATIONS AND STRENGTHS OF BROADBAND PLANAR AND SPHERICAL NOISE SOURCES USING COHERENT SIGNAL SUBSPACE

This paper presents the estimation methods of the planar and spherical wave sources with broadband frequency by using two types of coherent signal‐subspace processing; one uses frequency correction of the unwrapped phase of the measured sound pressures at the microphone array in space domain, and the other uses the focusing procedures by using the focusing matrix. The simulations show that the method based on frequency correction has a rather simple procedure compared to that of the methods based on focusing procedures. The performances of these methods have been also investigated in terms of the frequency band, and the distance between sources. The MUSIC power spectrum by the former gives broader peaks than that of the latter but the latter makes some spurious peaks in the MUSIC power spectrum when the bearing angle between the sources and/or the frequency band of interest increases, provided that one assumes a planar wave field. For the spherical wave field, these phenomena were less sensitive than thos.
Alternate windows for multi-window spectral analysis

Spectral analysis is concerned with estimating a signal's power distribution as a function of frequency. D.J. Thomson's multi-window method (1982) is one approach to this problem that uses the discrete prolate spheroidal sequence family of windows which maximize total sidelobe energy. This criterion is inflexible and inappropriate for some applications. An alternate window family based on a weighted peak sidelobe amplitude criterion is proposed. These windows offer greatly reduced peak sidelobes and afford precise control of the sidelobe envelope structure. A design procedure is presented along with examples of the new window family. <<ETX>>
Coexistence of Biopsychosocial Factors With Lumbopelvic Pain in Indian Women: A Systematic Review

In general, women appear to report lumbopelvic pain (LPP) more frequently. In addition to the biomechanical risks, this systematic review aimed to identify the add-on biopsychosocial implications of LPP among women in the Indian community. PubMed, ScienceDirect, Web of Science, PEDro, and Google Scholar were searched twice from inception to a final systematic literature search in December 2022. All studies addressing Indian women with LPP were selected. Studies on non-musculoskeletal LPP were excluded. Qualities of non-experimental and experimental research articles were assessed through the Critical Appraisal Skills Programme (CASP) checklist and Cochrane risk of bias criteria for Effective Practice and Organization of Care reviewsrespectively. Data synthesis was narrative as the selected studies differed substantially. Habitual squatting, kneeling, and continuous sitting were identified as ergonomic risks to LPP. Menopause, cesarean, and multiple deliveries influence the onset of LPP among women. There is a severe deficit in data about the musculoskeletal implications of LPP. There are insufficient data present to summarize the biopsychosocial risks of LPP. Even the exact anatomical sites of LPP were not described in most articles. Due to the severe scarcity of data, there is an alarming need to explore the musculoskeletal as well as psychosocial consequences of LPP in Indian women. Among rural women, LPP was common in those working as laborers; which are physically robust jobs with respect to strength and anthropometrics of women. Domestic chores in India involve a lot of manual work; placing unequal loads on the lumbar spine, eventually resulting in LPP. Therefore ergonomic strategies for women should be designed to meet the needs and demands of their respective occupations as well as domestic chores.