Miracle-dz/UniFAR-FTUs huggingface dataset:
Smoking cessation rates in elderly and nonelderly smokers after participating in an intensive care smoking cessation camp

Since it is a widely known fact that smoking cessation is beneficial physically and cognitively, efforts should be made to enable smokers to quit smoking through policy. Intensive care smoking cessation camps generally show a high smoking cessation success rate, but research is needed to determine which smokers should be admitted due to costeffectiveness. Although many studies have been conducted to find factors related to smoking cessation success, there is still controversy about the will and success rate of smoking cessation of elderly smokers. We performed this study to determine behavior characteristics and smoking cessation success rates in nonelderly and elderly smokers who participated in an intensive care smoking cessation camp. Heavy smokers participating in an intensive care smoking cessation camp at Chonnam National University Hospital between the August 2015 and December 2017 were classified into elderly (age ≥65 years old) or nonelderly (age <65 years old) groups after excluding missing data. Smokers were followed up at 4 weeks, 6 weeks, 12 weeks, and 6 months from the start of abstinence by self-report, measurement of carbon monoxide expiration levels or cotinine testing. A total of 351 smokers were enrolled in the study. At the 6-month follow-up, 56 of 107 (52.3%) elderly smokers and 109 of 244 (44.7%) nonelderly smokers continued to abstain from smoking. Elderly smokers showed a higher smoking cessation rate than that of nonelderly smokers, but it was not statistically significant (OR = 1.36, 95%CI: 0.862, 2.145). The most common causes of cessation failure in both groups were stress and temptation, followed by withdrawal symptoms. Smoking cessation rates in the elderly are comparable to that in the nonelderly after an intensive care smoking cessation camp. Intensive care smoking cessation camps can help both elderly and nonelderly smokers who intend to quit smoking by providing motivation, education and medication. Smoking cessation should be strongly recommended regardless of age.
A multi-layer strip ionization chamber (MLSIC) device for proton pencil beam scan quality assurance

Objective. Proton pencil beam scanning (PBS) treatment fields needs to be verified before treatment deliveries to ensure patient safety. In current practice, treatment beam quality assurance (QA) is measured at a few selected depths using film or a 2D detector array, which is insensitive and time-consuming. A QA device that can measure all key dosimetric characteristics of treatment beams spot-by-spot within a single beam delivery is highly desired. Approach. We developed a multi-layer strip ionization chamber (MLSIC) prototype device that comprises of two layers of strip ionization chambers (IC) plates for spot position measurement and 64 layers of plate IC for beam energy measurement. The 768-channel strip ion chamber signals are integrated and sampled at a speed of 3.125 kHz. It has a 25.6 cm × 25.6 cm maximum measurement field size and 2 mm spatial resolution for spot position measurement. The depth resolution and maximum depth were 2.91 mm and 18.6 cm for 1.6 mm thick IC plate, respectively. The relative weight of each spot was determined from total charge by all IC detector channels. Main results. The MLSIC is able to measure ionization currents spot-by-spot. The depth dose measurement has a good agreement with the ground truth measured using a water tank and commercial one-dimensional (1D) multi-layer plate chamber. It can verify the spot position, energy, and relative weight of clinical PBS beams and compared with the treatment plans. Significance. The MLSIC is a highly efficient QA device that can measure the key dosimetric characteristics of proton treatment beams spot-by-spot with a single beam delivery. It may improve the quality and efficiency of clinical proton treatments.
Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today’s state-of-the-art

Cone-beam computed tomography (CBCT) imaging is becoming increasingly important for a wide range of applications such as image-guided surgery, image-guided radiation therapy as well as diagnostic imaging such as breast and orthopaedic imaging. The potential benefits of non-circular source-detector trajectories was recognized in early work to improve the completeness of CBCT sampling and extend the field of view (FOV). Another important feature of interventional imaging is that prior knowledge of patient anatomy such as a preoperative CBCT or prior CT is commonly available. This provides the opportunity to integrate such prior information into the image acquisition process by customized CBCT source-detector trajectories. Such customized trajectories can be designed in order to optimize task-specific imaging performance, providing intervention or patient-specific imaging settings. The recently developed robotic CBCT C-arms as well as novel multi-source CBCT imaging systems with additional degrees of freedom provide the possibility to largely expand the scanning geometries beyond the conventional circular source-detector trajectory. This recent development has inspired the research community to innovate enhanced image quality by modifying image geometry, as opposed to hardware or algorithms. The recently proposed techniques in this field facilitate image quality improvement, FOV extension, radiation dose reduction, metal artifact reduction as well as 3D imaging under kinematic constraints. Because of the great practical value and the increasing importance of CBCT imaging in image-guided therapy for clinical and preclinical applications as well as in industry, this paper focuses on the review and discussion of the available literature in the CBCT trajectory optimization field. To the best of our knowledge, this paper is the first study that provides an exhaustive literature review regarding customized CBCT algorithms and tries to update the community with the clarification of in-depth information on the current progress and future trends.
Profile of Paul G. Falkowski

Paul G. Falkowski spent much of his research career analyzing the activity of aquatic microorganisms, which captured his interest early in life. As a child, growing up in a New York City Housing Project in Harlem, he received a small fish tank from a family friend, and his father bought him a microscope, prompting Falkowski to observe the tank’s microscopic inhabitants. Intrigued, he started borrowing books on fish and microbes from the local public library. “They were from the adult section, so my father had to take them out for me, and I started to become very interested in biology,” he says. “I knew every tropical fish, where they came from, what they ate—I bred them and sold them to buy more fish,” says Falkowski. Falkowski translated his interest into pioneering work as a biologist and oceanographer, particularly on understanding photosynthesis and other chemical processes in marine organisms, such as phytoplankton and corals. He has developed new instruments and techniques that have helped researchers study biogeochemical cycles in the ocean, from both ships and satellites. More recently, Falkowski has turned his attention to deciphering the origins of life and the microbial biochemical reactions that transformed Earth’s atmosphere. Falkowski’s work on the global biogeochemical cycles of the ocean won him the prestigious Tyler Prize for Environmental Achievement in 2018 for his “fundamental contributions to Earth’s geochemical processes” (1). He has published numerous papers and textbooks and also wrote a popular science book describing his research and experiences in science, Life’s Engines: How Microbes Made Earth Habitable (2). Now, a Board of Governors professor at Rutgers University, Falkowski was elected to the National Academy of Sciences in 2007.
A case report on a child with fracture and dislocation of the upper cervical spine accompanied by spinal cord injury

Rationale: This study describes an 8-year-old boy with a C2 fracture and dislocation with a left C2–C3 articular process interlocking and spinal cord injury who underwent open reduction and internal fixation using the posterior cervical approach and achieved satisfactory results. Patient concerns: An 8-year-old boy underwent an emergency transfer from a previous hospital after a car accident. Diagnoses: Axial fracture and dislocation with spinal cord injury (American Spinal Injury Association grade C), traumatic shock, brain contusion, intracranial hemorrhage, mandibular fracture, pulmonary contusion and hemorrhage, left vertebral artery stenosis, and multiple fractures throughout the body. Radiological examination revealed a fracture of the lower edge of the C2 vertebral body, fourth-degree anterior spondylolisthesis of the C2 vertebral body, interlocking of the left C2–C3 articular processes, widening of the C2–C3 vertebral space, and occlusion of the V1 and 2 segments of the left vertebral artery. Interventions: The boy was immediately intubated and transferred to the pediatric intensive care unit for rescue treatment. However, the reduction was unsuccessful with 2 weeks of cranial traction. Thus, an open reduction was performed under general anesthesia. One month after the surgery, the boy was discharged from the hospital on foot after rehabilitation treatment. Outcomes: The boy was discharged from the hospital 1 month after surgery. At the 8-month follow-up, a radiological examination showed that the corrected C2 vertebral body fracture and dislocation were satisfactorily reduced, and the spinal cord was adequately decompressed. The internal fixation position was also good, and the spinal sequence had recovered well. In summary, except for the muscle strength of the right upper limb, which was slightly worse, the other clinical symptoms were significantly improved. Lessons: In treating cervical fracture and dislocation with unilateral facet lock, the posterior open reduction of pedicle screw and lateral mass screw internal fixation achieved satisfactory results. Consequently, treating complex cervical spine injuries in children requires an accurate diagnosis and careful treatment strategy.
Transverse-momentum distribution and nuclear modification factor for neutral pions in the forward-rapidity region in proton-lead collisions at s NN =5.02 TeV

The transverse momentum ($p_\text{T}$) distribution for inclusive neutral pions in the very forward rapidity region has been measured, with the Large Hadron Collider forward detector (LHCf), in proton--lead collisions at nucleon-nucleon center-of-mass energies of $\sqrt{s_{NN}} = 5.02$TeV at the LHC. The $p_\text{T}$ spectra obtained in the rapidity range $-11.0 < y_\text{lab} < -8.9$ and $0 < p_\text{T} < 0.6$GeV (in the detector reference frame) show a strong suppression of the production of neutral pions after taking into account ultra-peripheral collisions. This leads to a nuclear modification factor value, relative to the interpolated $p_\text{T}$ spectra in proton-proton collisions at $\sqrt{s} = 5.02$TeV, of about 0.1--0.4. This value is compared with the predictions of several hadronic interaction Monte Carlo simulations.
The metaverse, but not the way you think: game engines and automation beyond game development

ABSTRACT The production of videogames routinely uses automated techniques to generate content, rig animations, map light, and script behaviors. The automation of programming and artistic functions is increasingly baked into game engines that work with other software applications in 3D production ecosystems, which are laying the foundations for what is being pitched by platform companies as the future metaverse. Platform studies has analyzed automated decision-making through the politics of classification. Game studies has investigated engines such as Unreal and Unity as platform tools that consolidate power through asymmetries of interconnectivity and interoperability. This commentary discusses the automaticity of game engines as platform tools for designing and simulating interactive 3D worlds within and beyond games. Outlining the structuring force of game engines from game development and entertainment media to architecture, engineering, construction, and manufacturing, I speculate on the implications of engines for game workers and game studies.
Root organogenesis induction in Epipremnum aureum stem cuttings with plant biostimulants and synthetic rooting hormone

Plant organogenesis induction is a vital method to regenerate explants and produce complete organisms. In this study, we analyzed the applicability of three different root biostimulants and a commercially available synthetic rooting hormone (RH) for root organogenesis induction in Epipremnum aureum stem cuttings. The biostimulants used were Aloe vera gel (AV1), and garlic (GR2) and turmeric extracts (TM3), and the synthetic RH (TakeRoot®) used contained an active ingredient, indole butyric acid (0.01%). The E. aureum stem cuttings were placed in hydroponic pots and root development rates were monitored for up to 30 days. Recorded data from five parameters were analyzed: (1) number of rooted cuttings, (2) number of roots per stem cutting, (3) length of the longest and (4) shortest roots of the cuttings, and (5) rooting time. Stem cuttings were quantified using ImageJ software. The results showed that compared to the application of TakeRoot®, treatment with the biostimulant AV1 produced the longest roots, whereas stem cuttings treated with GR2 and TM3 did not produce significant results. Moreover, AV1 induced root organogenesis 16.67% faster than did TakeRoot® but no significant difference (p<0.05) was observed in the case of number of roots promoted per cutting. This study provides scientific evidence for the application of naturally derived RHs in the propagation of stem cuttings. Furthermore, Aloe vera gel, known for plant growth benefits, is the best choice for plant root propagation.
Enhanced single RNA imaging reveals dynamic gene expression in live animals

Imaging endogenous mRNAs in live animals is technically challenging. Here we describe an MS2 based signal Amplification with Suntag System that enables live-cell RNA imaging of high temporal resolution and with 8xMS2 stem-loops, which overcomes the obstacle of inserting a 1,300 nt 24xMS2 into the genome for the imaging of endogenous mRNAs. Using this tool we were able to image the activation of gene expression and the dynamics of endogenous mRNAs in the epidermis of live C. elegans.
ADOLESCENT EXPOSURE TO LOW-DOSE THC DISRUPTS ENERGY BALANCE AND ADIPOSE ORGAN HOMEOSTASIS IN ADULTHOOD

One of cannabis’ most iconic effects is the stimulation of hedonic high-calorie eating – the ‘munchies’ – yet habitual cannabis users are on average leaner than non-users. We asked whether this unexpected phenotype might result from lasting changes in energy balance established during adolescence, when habitual use of the drug often begins. We found that daily low-dose administration of cannabis’ intoxicating constituent, Δ9-tetrahydrocannabinol (THC), to adolescent mice causes an adult metabolic phenotype characterized by reduced fat mass, increased lean mass and utilization of fat as fuel, partial resistance to diet-induced obesity and dyslipidemia, and enhanced thermogenesis. Multi-omics analyses revealed that this phenotype is associated with multiple molecular anomalies in the adipose organ, which include ectopic overexpression of muscle-associated proteins and heightened anabolic processing. Thus, adolescent exposure to THC may promote an enduring ‘pseudo-lean’ state that superficially resembles healthy leanness but might in fact be rooted in adipose organ dysfunction.
Individual differences in oxycodone addiction-like behaviors in a large cohort of heterogeneous stock (HS) rats

Family and twin studies demonstrate that genetic factors determine 20-60% of the vulnerability to opioid use disorder. However, the genes/alleles that mediate the risk of developing addiction-related behaviors, including the sensitivity to the analgesic efficacy of opioids, the development of tolerance, dependence, and escalation of oxycodone taking and seeking, have been ill-defined, thus hindering efforts to design pharmacological interventions to enable precision medicine strategies. Here we characterized oxycodone addiction-like behaviors in heterogeneous stock (HS) rats, that show high genetic diversity that mimics the high genetic variability in humans. HS rats were allowed to self-administer oxycodone for two h/daily for four days (ShA) and then moved to 12h/daily (LgA) for 14 days. Animals were screened for motivation to self-administer oxycodone using a progressive-ratio (PR) schedule of reinforcement and for the development of withdrawal-induced hyperalgesia and tolerance to the analgesic effects of oxycodone using the von-Frey and tail immersion tests, respectively. To reduce cohort-specific effects, we used cohorts of 46-60 rats and normalized the response level within cohorts using a Z-score. To take advantage of the four opioid-related behaviors and further identify subjects that are consistently vulnerable vs. resilient to compulsive oxycodone use, we computed an Addiction Index by averaging normalized responding (Z-scores) for the four behavioral tests. Results showed high individual variability between vulnerable and resilient rats, likely to facilitate the detection of gene variants associated with vulnerable vs. resilient individuals. Such data will have considerable translational value for designing follow-up studies in humans.
Maf Family Transcription Factors are Required for Nutrient Uptake in the Neonatal Gut

There are fundamental differences in the way that neonatal and adult intestines absorb nutrients. In adults, macromolecules are efficiently broken down into simpler molecular components in the lumen of the small intestine, then absorbed. In contrast, neonates are thought to rely more on bulk intake of nutrients and subsequent degradation in the lysosome. Here, we identify the Maf family transcription factors, MafB and cMaf, as markers of terminally-differentiated intestinal enterocytes throughout life. The expression of these factors is regulated by HNF4α/γ, master regulators of the enterocyte cell fate. Loss of Maf factors results in a neonatal-specific failure to thrive and loss of bulk uptake of nutrients. RNA-Seq and CUT&RUN analyses defined an endo-lysosomal program as being downstream of these transcription factors. We demonstrate major transcriptional changes in metabolic pathways, including fatty acid oxidation and increases in peroxisome number in response to loss of Mafs. Finally, we show that deletion of Blimp1, which represses adult enterocyte genes in the neonatal gut, shows highly overlapping changes in gene expression and similar defects in nutrient uptake. This work defines transcriptional regulators that are necessary for bulk uptake in neonatal enterocytes.
The Ever-Changing Sky: A Guide to the Celestial Sphere

Preface 1. The Earth and the celestial sphere 2. The moving Earth and the travelling observer 3. The orbital motion of the Earth 4. Stars and constellations 5. Precession, nutation, and aberration 6. Time 7. Sunrise and sunset 8. Positions in the sky and on Earth 9. The Moon 10. Tides, eclipses, and calendars 11. The planets 12. The small bodies of the solar system 13. Light and atmosphere Appendices: I. Graphs and tables II. Star maps III. Trigonometric relationships IV. Bibliography Index.
Ghost lineages can invalidate or even reverse findings regarding gene flow

Introgression, endosymbiosis and gene transfer, i.e. Horizontal Gene Flow (HGF), are primordial sources of innovation in all domains of life. Our knowledge on HGF relies on detection methods that exploit some of its signatures left on extant genomes. One of them is the effect of HGF on branch lengths of constructed phylogenies. This signature has been formalized in statistical tests for HGF detection, and used for example to detect massive adaptive gene flows in malaria vectors or to order evolutionary events involved in eukaryogenesis. However these studies rely on the assumption that ghost lineages (all unsampled extant and extinct taxa) have little influence. We demonstrate here with simulations and data re-analysis, that when considering the more realistic condition that unsampled taxa are legion compared to sampled ones, the conclusion of these studies become unfounded or even reversed. This illustrates the necessity to recognize the existence of ghosts in evolutionary studies.
Augmenting the Signal Peptide of the Ag43 Autotransporter for the improved heterologous display of sfGFP using Fluorescence-Activated Cell Sorting (FACs)-assisted natural selection

Protein display, secretion and export in prokaryotes are essential for utilizing microbial systems as engineered living materials for medicines, biocatalysts, and protein factories. To select for improved signal peptides for Escherichia coli protein display, we utilized error-prone polymerase chain reaction (epPCR) coupled with single-cell sorting and microplate titer to generate, select, and detect improved Ag43 signal peptides. Through three rounds of mutagenesis and selection using green fluorescence from the 56 kDa sfGFP-beta-lactamase, we isolated clones that increased surface display from 1.4 to 3 folds as detected by the microplate plate-reader and native SDS-PAGE assays. To establish that the protein was displayed extracellularly, we trypsinised the bacterial cells to release the surface displayed proteins for analysis. This workflow demonstrated a fast and high-throughput method leveraging on epPCR and single-cell sorting to rapidly augment bacterial surface display, a method that could be applied to other bacterial proteins.
A class of high resolution explicit and implicit shock-capturing methods

The development of shock-capturing finite difference methods for hyperbolic conservation laws has been a rapidly growing area for the last decade. Many of the fundamental concepts, state-of-the-art developments and applications to fluid dynamics problems can only be found in meeting proceedings, scientific journals and internal reports. This paper attempts to give a unified and generalized formulation of a class of high-resolution, explicit and implicit shock capturing methods, and to illustrate their versatility in various steady and unsteady complex shock waves, perfect gases, equilibrium real gases and nonequilibrium flow computations. These numerical methods are formulated for the purpose of ease and efficient implementation into a practical computer code. The various constructions of high-resolution shock-capturing methods fall nicely into the present framework and a computer code can be implemented with the various methods as separate modules. Included is a systematic overview of the basic design principle of the various related numerical methods. Special emphasis will be on the construction of the basic nonlinear, spatially second and third-order schemes for nonlinear scalar hyperbolic conservation laws and the methods of extending these nonlinear scalar schemes to nonlinear systems via the approximate Riemann solvers and flux-vector splitting approaches. Generalization of these methods to efficiently include real gases and large systems of nonequilibrium flows will be discussed. Some perbolic conservation laws to problems containing stiff source terms and terms and shock waves are also included. The performance of some of these schemes is illustrated by numerical examples for one-, two- and three-dimensional gas-dynamics problems. The use of the Lax-Friedrichs numerical flux to obtain high-resolution shock-capturing schemes is generalized. This method can be extended to nonlinear systems of equations without the use of Riemann solvers or flux-vector splitting approaches and thus provides a large savings for multidimensional, equilibrium real gases and nonequilibrium flow computations.