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Weed management in cantaloupe and other melon crops, is important to maximize fruit yield; however, there are few registered herbicides available in California. Several independent herbicide trials were conducted at University of California field stations in Davis (Yolo County), Five Points (Fresno County), and Holtville (Imperial County) from 2013 to 2019 to evaluate both registered and unregistered herbicides and incorporation methods (sprinklers, cultivation, or none) for crop safety and weed control in melons. Although specific treatments varied among locations depending on local practice and research objectives, ethalfluralin and halosulfuron were used in all experiments and bensulide and S-metolachlor were evaluated in 4 of 6 site-years. Additional herbicides included clethodim, clomazone, DCPA, napropamide, pendimethalin, sethoxydim, and sulfentrazone. Among registered herbicides, halosulfuron, halosulfuron + ethalfluralin, and ethalfluralin + bensulide combinations provided consistently beneficial weed control across all site-years compared to the non-treated control. S-metolachlor performed as well as the best of the registered herbicides tested at each site-year; while moderate injury was noted at the Davis location this did not reduce melon yield. The method used to incorporate preplant herbicides had a significant impact on weed control efficacy but varied by location. Mechanical incorporation of preplant herbicides resulted in improved weed control and yield compared to sprinklers. Early season weed control, whether by herbicides or hand weeding, resulted in significant yield increase in most site-years.

Background/Aims: This study aimed to investigate the clinical characteristics and outcomes of fluorescent antinuclear antibody (FANA)-positive patients admitted for coronavirus disease 2019 (COVID‐19) and identify FANA as a prognostic factor of mortality.Methods: This retrospective study was conducted at a university-affiliated hospital with 1,048 beds from September 2020 to March 2022. The participants were consecutive patients who required oxygenation through a high-flow nasal cannula, non-invasive or mechanical ventilation, or extracorporeal membrane oxygenation, and conducted the FANA test within 48 hours of admission.Results: A total of 132 patients with severe COVID-19 were included in this study, of which 77 (58.3%) had FANA-positive findings (≥ 1:80). FANA-positive patients were older and had higher inflammatory markers and 28-day mortality than FANA- negative patients. In the multivariate Cox proportional hazard regression analysis, FANA-positive findings (hazard ratio [HR], 2.65; 95% confidence interval [CI], 1.04–6.74), age (per 1-year; HR, 1.05; 95% CI, 1.01–1.10), underlying pulmonary disease (HR, 3.16; 95% CI, 0.97–10.26), underlying hypertension (HR, 2.97; 95% CI, 1.28–6.87), and blood urea nitrogen > 20 mg/dL (HR, 3.72; 95% CI, 1.09–12.64) were independent predictors of 28-day mortality. Remdesivir (HR, 0.34; 95% CI, 0.15–0.74) was found to be an independent predictor that reduced mortality.Conclusions: Our findings revealed an autoimmune phenomenon in patients with severe COVID-19, which provides an ancillary rationale for strategies to optimize immunosuppressive therapy. In particular, this study suggests the potential of FANA to predict the outcomes of COVID-19.

Blue mussels from the genus Mytilus are an abundant component of the benthic community, found in the high latitude habitats. These foundation species are relevant to the aquaculture industry, with over 2 million tonnes produced globally each year. Mussels withstand a wide range of environmental conditions and species from the Mytilus edulis complex readily hybridize in regions where their distributions overlap. Significant effort has been made to investigate the consequences of environmental stress on mussel physiology, reproductive isolation, and local adaptation. Yet our understanding on the genomic mechanisms underlying such processes remains limited. In this study, we developed a multi species medium-density 60 K SNP-array including four species of the Mytilus genus. SNPs included in the platform were called from 138 mussels from 23 globally distributed mussel populations, sequenced using a whole-genome low coverage approach. The array contains polymorphic SNPs which capture the genetic diversity present in mussel populations thriving across a gradient of environmental conditions (~59 K SNPs) and a set of published and validated SNPs informative for species identification and for diagnosis of transmissible cancer (610 SNPs). The array will allow the consistent genotyping of individuals, facilitating the investigation of ecological and evolutionary processes in these taxa. The applications of this array extend to shellfish aquaculture, contributing to the optimization of this industry via genomic selection of blue mussels, parentage assignment, inbreeding assessment and traceability. Further applications such as genome wide association studies (GWAS) for key production traits and those related to environmental resilience are especially relevant to safeguard aquaculture production under climate change.

Post-menopausal women are disproportionately affected by osteoarthritis (OA). As such, the purpose of this study was to (1) summarize the state-of-the-science aimed at understanding the effects of menopause on OA in animal models and (2) investigate how dosage and timing of initiation of estrogen treatment affect cartilage degeneration.A systematic review identified articles studying menopausal effects on cartilage in preclinical models. A meta-analysis was performed using overlapping cartilage outcomes in conjunction with a rigor and reproducibility analysis. Ordinary differential equation models were used to determine if a relationship exists between cartilage degeneration and the timing of initiation or dosage of estrogen treatment.Thirty-eight manuscripts were eligible for inclusion. The most common menopause model used was ovariectomy (92%), and most animals were young at the time of menopause induction (86%). Most studies did not report inclusion criteria, animal monitoring, protocol registration, or data accessibility. Cartilage outcomes were worse in post-menopausal animals compared to age-matched, non-menopausal animals, as evidenced by cartilage histological scoring [0.75,1.72], cartilage thickness [-4.96,-0.96], type II collagen [-4.87,-0.56], and c-terminal cross-linked telopeptide of type II collagen (CTX-II) [2.43,5.79] (95%CI of Effect Size (+greater in menopause, -greater in non-menopause). Moreover, modeling suggests that cartilage health may be improved with early initiation and higher doses of estrogen treatment.To improve translatability, animal models that consider aging and natural menopause should be utilized, and more attention to rigor and reproducibility is needed. Timing of initiation and dosage may be important factors modulating therapeutic effects of estrogen on cartilage.

Postpartum physical activity can positively impact mental and physical health. There is a need to better understand how physical activity is related to various psychological constructs to support physical activity in postpartum women. Thus, the purpose of this exploratory, quantitative, study was to examine differences between postpartum women who were physically active and those who were physically inactive on psychological (e.g., self-compassion) and mental health constructs. Five hundred twenty-five women (Mage = 28.4) completed an online survey. Participants who reported being active following the birth of their last child had significantly higher exercise self-efficacy, self-compassion, and basic psychological needs fulfillment for exercise and significantly lower levels of perceived fatigue, anxiety, and depression compared with their inactive counterparts. However, active mothers had lower body satisfaction than inactive mothers. Women who are active after the birth of a child have improved psychological constructs that may benefit overall well-being and mental health during this challenging transition.

Polymer colloids are complex materials that have the potential to be used in a vast array of applications. One of the main reasons for their continued growth in commercial use is the water-based emulsion polymerization process through which they are generally synthesized. This technique is not only highly efficient from an industrial point of view but also extremely versatile and permits the large-scale production of colloidal particles with controllable properties. In this perspective, we seek to highlight the central challenges in the synthesis and use of polymer colloids, with respect to both existing and emerging applications. We first address the challenges in the current production and application of polymer colloids, with a particular focus on the transition toward sustainable feedstocks and reduced environmental impact in their primary commercial applications. Later, we highlight the features that allow novel polymer colloids to be designed and applied in emerging application areas. Finally, we present recent approaches that have used the unique colloidal nature in unconventional processing techniques. The authors would like to thank the financial support received from the Basque Government (IT-1525-22), from the Spanish Government (MINECO PID2021-123146OB-I00, MICINN PDC2021-121416-I00, and PID-117628RJ-I00)). This work was partially funded by the Michelin North America, Inc. and currently funded by the National Science Foundation (NSF) GOALI grant in partnership with Michelin (CMMI – 1762712). In addition, the Basque Government also financially supported this work (ELKARTEK/bmG22/ref: KK-2022/00008). The Basque Health Department (projects 2022333035, 2022333039, and 2022333031) and the University of the Basque Country (projects COLLAB22/05 and GIU21/033) are also acknowledged for their financial support.

Dungeons and Dragons (D&D) is a popular fantasy tabletop role-playing game (RPG) that has been enjoyed by millions of players since its creation in the 1970s. The game is played by a group of players, each of whom takes on the role of a character in a fantasy world. The players work together to complete quests, overcome obstacles, and defeat monsters while a "Dungeon Master" (DM) manages the story and controls the non-player characters (NPCs). In recent years, there has been an increasing interest in using D&D and other tabletop RPGs as a form of mental health therapy. This is because the game can provide a safe and supportive environment for players to explore and express their emotions, work on personal issues, and build social skills. Tabletop RPGs can help foster personal growth in several ways: Problem-solving, Decision-Making, Emotional Intelligence, Communication, Creativity, Self-Esteem, and even Confidence. Mental health professionals have begun incorporating Tabletop RPGs into their sessions as a way to engage their clients in a fun and interactive way and it should be used in conjunction with other forms of treatment.

It is desirable to provide undergraduate students with authentic English materials that will challenge and benefit them. This paper describes a set of English teaching materials created as a collaboration between teachers from the English Language Program (ELP) and the Department of Robotics at Kanazawa Institute of Technology. The materials consist of an original English text outlining research conducted by faculty and students of the Department of Robotics, an audio interview (podcast) between ELP members and a professor from the Robotics Department, and scaffolded worksheets and scripts for student presentations. The materials were used in the “English Topics Five”(ETV) course during the spring 2022 semester. This paper also briefly outlines students' attitudes and perceptions of the teaching materials.

The KIT Community Garden project is an honors project at Kanazawa Institute of Technology that began in 2016. The project aims to use gardening as a springboard for its members to improve their English language skills, gain gardening knowledge, increase their environmental awareness, and establish a deeper connection to the community. This paper will discuss the current status of the project, including the state of the garden, how the design principles that underpin the garden have manifested themselves, and what changes have been made recently in an effort to improve the project. Feedback from current project members will also be summarized, along with what outstanding challenges need to be overcome.

Funder: National Institute for Health Research (NIHR), Serotonin reuptake inhibitors and receptor agonists are used to treat obesity, anxiety and depression. Here we studied the role of the serotonin 2C receptor (5-HT2CR) in weight regulation and behavior. Using exome sequencing of 2,548 people with severe obesity and 1,117 control individuals without obesity, we identified 13 rare variants in the gene encoding 5-HT2CR (HTR2C) in 19 unrelated people (3 males and 16 females). Eleven variants caused a loss of function in HEK293 cells. All people who carried variants had hyperphagia and some degree of maladaptive behavior. Knock-in male mice harboring a human loss-of-function HTR2C variant developed obesity and reduced social exploratory behavior; female mice heterozygous for the same variant showed similar deficits with reduced severity. Using the 5-HT2CR agonist lorcaserin, we found that depolarization of appetite-suppressing proopiomelanocortin neurons was impaired in knock-in mice. In conclusion, we demonstrate that 5-HT2CR is involved in the regulation of human appetite, weight and behavior. Our findings suggest that melanocortin receptor agonists might be effective in treating severe obesity in individuals carrying HTR2C variants. We suggest that HTR2C should be included in diagnostic gene panels for severe childhood-onset obesity.

Rare-earth elements (REEs) supply raw materials that constitute many of our modern critical infrastructure, defense, technology, and electrification needs. Despite REE accumulations occurring in conventional bedrock and ion-adsorption deposits sourced from weathering of igneous rocks, unconventional host materials such as coal and related sedimentary strata have been identified as promising sources of REEs to meet growing demand. To maximize the potential of unconventional resources such as REE-coal systems, new approaches are needed overcome challenges from mineral systems with no known deposits and areas with sparse geochemical data. This article presents a systematic knowledge-data resource assessment method for predicting and identifying REE resource potential and occurrence in these unconventional systems. The method utilizes a geologic and geospatial knowledge-data approach informed and guided by REE accumulation mechanisms to systematically assess and identify areas of higher enrichment. An assessment of the Powder River Basin is presented as a test case to demonstrate the method workflow and results. The key output is a potential enrichment score map reported with varying confidence levels based on the amount of supporting evidence. Results from the test case indicate several locations with promising potential for different types of coal-REE deposits, demonstrating the viability of the method for exploration and assessment of unconventional REE resources. The method is flexible by design and, with sufficient applicable knowledge and data, can be adapted for assessing critical mineral systems in other sedimentary systems as well.

There is a lack of dynamic facility location models for developing countries that consider the changes in the problem environment over time, such as patient population and population migration. Therefore, this paper focuses on using optimization and goal programming to locate health care facilities in an uncertain environment using multiple possible future urban development senarios. To achieve this, a robust multi-objective facility location model is developed and used to determine locations for container clinic deployment over multiple years in selected communities in South Africa. A synthetic population and urban growth simulation model are used to estimate population density and distribution from 2018 to 2030 for three development senarios. The results from the urban growth simulation model are then used as input into the facility location model to locate facilities whilst considering the three future development scenarios. Results of the model indicate that the robust model can be used to find locations that provide a relatively good solution to all considered development scenarios, providing key role players with quantitative decision support during network design under uncertainty. An accessibility analysis investigates the impact of the prescribed accessibility percentage on model results and a budget analysis evaluates the impact of a case that includes a budget constraint. From these two analyses it is illustrated that the model is sensitive to changes in parameters and that the model can be used by key stakeholders to combine network design and urban development planning for improved decision making.

While various indirect methods are used to detect exoplanets, one of the most effective and accurate methods is the transit method, which measures the brightness of a given star for periodic dips when an exoplanet is passing in front of the parent star. For systems with multiple transiting planets, the gravitational perturbations between planets affect their transit times. The difference in transit times allows a measurement of the planet masses and orbital eccentricities. These parameters help speculating on the formation, evolution, and stability of the system. Using transit timing variations (TTVs), we measure the masses and eccentricities of two planets orbiting K2-21, a relatively bright K7 dwarf star. These two planets exhibit measurable TTVs, have orbital periods of about 9.32 and 15.50 d, respectively, and a period ratio of about 1.66, which is relatively near to the 5:3 mean motion resonance. We report that the inner and outer planets in the K2-21 system have properties consistent with the presence of a hydrogen- and helium-dominated atmosphere, as we estimate their masses to be $1.59^{+0.52}_{-0.44}$ and $3.88^{+1.22}_{-1.07}\, \mathrm{ M}_\oplus$ and densities of $0.22^{+0.05}_{-0.04}$ and $0.34^{+0.08}_{-0.06}\, \rho _\oplus$, respectively (M⊕ and ρ⊕ are the mass and density of the Earth, respectively). Our results show that the inner planet is less dense than the outer planet; one more counterintuitive exoplanetary system such as Kepler-105, LTT 1445, TOI-175, and Kepler-279 systems.

Aims To investigate whether left arterial reservoir strain (LASr) could predict new-onset atrial fibrillation (NOAF) in patients with light-chain-type cardiac amyloidosis (ALCA). Methods and results This study enrolled 427 patients with CA from two tertiary centres between 2005 and 2019. LASr was measured using a vendor-independent analysis programme. The primary outcome was NOAF. A total of 287 patients with ALCA were included [median age 63.0 (56.0–70.0) years, 53.3% male]. The median LASr was 13.9% (10.5–20.8%). During the median follow-up of 0.85 years, AF occurred in 34 patients (11.8%). In the receiver operating characteristics curve analysis, the optimal cut-off of LASr for predicting NOAF was 14.4%. Patients with LASr ≤14.4% had a higher risk of NOAF than those with LASr >14.4% (18.1% vs. 5.1%, P < 0.010). In the multivariate analysis adjusting for confounding factors, including left arterial volume index and left ventricular global longitudinal strain (LV-GLS), higher LASr (%) was independently associated with lower risk for NOAF [adjusted hazard ratio (aHR): 0.936, 95% confidence interval (95% CI): 0.879–0.997, P = 0.039]. Furthermore, LASr ≤14.4% was an independent predictor for NOAF (aHR: 3.370, 95% CI: 1.337–8.492, P = 0.010). This remained true after accounting for all-cause death as a competing risk. Compared with Model 1 (LV-GLS) and Model 2 (LV-GLS plus LAVI), Model 3, including LASr showed a better reclassification ability for predicting NOAF (net reclassification index = 0.735, P < 0.001 compared with Model 1; net reclassification index = 0.514, P = 0.003 compared with Model 2). Conclusion LASr was an independent predictor of NOAF in patients with ALCA.

Transmission spectroscopy of exoplanets has revealed signatures of water vapor, aerosols, and alkali metals in a few dozen exoplanet atmospheres. However, these previous inferences with the Hubble and Spitzer Space Telescopes were hindered by the observations' relatively narrow wavelength range and spectral resolving power, which precluded the unambiguous identification of other chemical species$-$in particular the primary carbon-bearing molecules. Here we report a broad-wavelength 0.5-5.5 $\mu$m atmospheric transmission spectrum of WASP-39 b, a 1200 K, roughly Saturn-mass, Jupiter-radius exoplanet, measured with JWST NIRSpec's PRISM mode as part of the JWST Transiting Exoplanet Community Early Release Science Team program. We robustly detect multiple chemical species at high significance, including Na (19$\sigma$), H$_2$O (33$\sigma$), CO$_2$ (28$\sigma$), and CO (7$\sigma$). The non-detection of CH$_4$, combined with a strong CO$_2$ feature, favours atmospheric models with a super-solar atmospheric metallicity. An unanticipated absorption feature at 4$\mu$m is best explained by SO$_2$ (2.7$\sigma$), which could be a tracer of atmospheric photochemistry. These observations demonstrate JWST's sensitivity to a rich diversity of exoplanet compositions and chemical processes., Comment: 41 pages, 4 main figures, 10 extended data figures, 4 tables. Under review in Nature

Leptin acts on hypothalamic neurons expressing agouti-related protein (AgRP) or pro-opiomelanocortin (POMC) to suppress appetite and increase energy expenditure, but the intracellular mechanisms that modulate central leptin signalling are not fully understood. Here we show that growth factor receptor-bound protein 10 (Grb10), an adaptor protein that binds to the insulin receptor and negatively regulates its signalling pathway, can interact with the leptin receptor and enhance leptin signalling. Ablation of Grb10 in AgRP neurons promotes weight gain, while overexpression of Grb10 in AgRP neurons reduces body weight in male and female mice. In parallel, deletion or overexpression of Grb10 in POMC neurons exacerbates or attenuates diet-induced obesity, respectively. Consistent with its role in leptin signalling, Grb10 in AgRP and POMC neurons enhances the anorexic and weight-reducing actions of leptin. Grb10 also exaggerates the inhibitory effects of leptin on AgRP neurons via ATP-sensitive potassium channel-mediated currents while facilitating the excitatory drive of leptin on POMC neurons through transient receptor potential channels. Our study identifies Grb10 as a potent leptin sensitizer that contributes to the maintenance of energy homeostasis by enhancing the response of AgRP and POMC neurons to leptin.

The potential weight of accumulated snow on the roof of a structure has long been an important consideration in structure design. However, the historical approach of modeling the weight of snow on structures is incompatible for structures with surfaces and geometry where snow is expected to slide off of the structure, such as standalone solar panels. This paper proposes a “storm-level” adaptation of previous structure-related snow studies that is designed to estimate short-term, rather than season-long, accumulations of the snow water equivalent or snow load. One key development associated with this paper includes a climate-driven random forests model to impute missing snow water equivalent values at stations that measure only snow depth in order to produce continuous snow load records. Additionally, the paper compares six different approaches of extreme value estimation on short-term snow accumulations. The results of this study indicate that, when considering the 50-year mean recurrence interval (MRI) for short-term snow accumulations across different weather station types, the traditional block maxima approach, the mean-adjusted quantile method with a gamma distribution approach, and the peak over threshold Bayesian approach tend to most often provide MRI estimates near the median of all six approaches considered in this study. Further, this paper also shows, via bootstrap simulation, that the peak over threshold extreme value estimation using automatic threshold selection approaches tend to have higher variance compared to the other approaches considered. The results suggest that there is no one-size-fits-all option for extreme value estimation of short-term snow accumulations, but highlights the potential value from integrating multiple extreme value estimation approaches.

ObjectiveTo investigate whether low-normal left ventricular ejection fraction (LVEF) is associated with adverse outcomes in hypertrophic cardiomyopathy (HCM) and evaluate the incremental value of predictive power of LVEF in the conventional HCM sudden cardiac death (SCD)-risk model.MethodsThis retrospective study included 1858 patients with HCM from two tertiary hospitals between 2008 and 2019. We classified LVEF into three categories: preserved (≥60%), low normal (50%–60%) and reduced (ResultsDuring the median follow-up of 4.09 years, the primary outcomes occurred in 1.9%. HHF, cardiovascular death, and all-cause death occurred in 3.3%, 1.9%, and 5.3%, respectively. Reduced LVEF was an independent predictor of SCD/equivalent events (adjusted HR (aHR) 5.214, 95% CI 1.574 to 17.274, p=0.007), adding predictive value to the HCM risk-SCD model (net reclassification improvement 0.625). Compared with patients with HCM with preserved LVEF, those with low-normal and reduced LVEF had a higher risk of HHF (LVEF 50%–60%, aHR 2.457, 95% CI 1.423 to 4.241, p=0.001; LVEF ConclusionsLow-normal LVEF was an independent predictor of HHF and cardiovascular death in patients with HCM.

SUMMARY Train-induced vibrations act as potential powerful high-frequency source for imaging subsurface with higher resolution than typical ambient noise interferometry. In this study, we present results of seismic interferometry applied on three days of railroad traffic data recorded by an array of seismographs along a railway in Dublin, Ireland. Our virtual shot gathers show significant surface and body wave energy that could be used for seismic interferometry. Reflection sections obtained with our interferometry approaches applied on selected time windows of train-induced vibrations is consistent with nearby borehole data and an active seismic profile. The consistency of the results given by these approaches confirms that train-generated vibrations represent a valuable source of signal for high-resolution subsurface imaging. Furthermore, our results show spurious arrivals that are due to the train geometry and also the cross-correlation approach that needs consideration for body wave interferometry studies.

Working therapeutically with video gamers has almost entirely consisted of an overshadowing addiction perspective. This undoubtedly leads any therapist working with video gamers to assume they are addicted, further guiding treatment into a reduction or complete termination of all video games. To date, there are no known uses of video games in a clinical setting as therapeutic tools. This case study illustrates use of Archetypal and Jungian therapies prescribing video games for a 10-year-old male diagnosed with Posttraumatic Stress Disorder (PTSD). Video games were utilized as a main form of inclusion and immersion playability. He experienced a reported improvement in his symptoms across his environments. Parental involvement, therapist’s knowledge of video game worlds, and using video games’ heroic motifs were critical to the client’s understanding of himself. If an addiction lens had been utilized, the client may not have been successful. Through this comprehensive study, the research will showcase that clinicians should aim to think outside of the addiction lens while working with video gamers. As therapists are presumed to be experts in communication, it makes sense to utilize the language of the video game world to communicate and understand where the client may be presently situated. Utilizing this immersive experience opens the door for a more collaborative therapy, increasing communication about video games, playing, and extrapolating players’ experiences into real life contexts.

This manuscript presents a conceptual model-the Sexual Health and Integrative Pleasure (SHIP) Model-for the clinical assessment and intervention of sexual health concerns. The model was developed by a group of couple/marital family therapy and psychologists who specialize in the treatment of sexual problems. The model consists of five philosophical foundations (systems framework, intersectionality, biopsychosocial model, lifespan approach, and empiricism) and five core therapeutic components (sexual literacy, sexual adaptation and resilience, relational intimacy, pleasure-oriented positive sexuality, and multidisciplinary care). We define each foundation and component, and compare and contrast the SHIP model with other existing sexual health models. Finally, we demonstrate how the SHIP model was used to provide individual and couple therapy with a cis/heterosexual couple in a university-based sexual health clinic and make recommendations for additional clinical applications of the model.