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The continuing decline in water resources under the ever-changing climate compels us to re-orient our focus to a more sustainable practice. This study investigates the performance of Triticum aestivum wheat genotypes viz. HD-2967, HD-3086, HD-3249, DBW-187, and HD-3226 under well- and deficit-watered conditions for their root-traits, biomass and nitrogen accumulation and remobilization, and water use efficiencies, grown in PVC-tubes. The genotypes HD-2967, HD-3086, HD-3249, DBW-187, and HD-3226 under well-watered (WW) resulted in 36, 35, 38, 33, and 42% more grain yield compared to deficit-watered (DW). Among the genotypes, HD-3249 had the highest grain yield under both well- and deficit-watered conditions. Compared to DW, the WW had 28%, 30%, and 28% greater root length, biomass, and root length density at flowering {102 days (d), Z61}, while among the genotypes, HD-3249 had relatively greater root-traits. At flowering (Z61) and maturity (132 d, Z89), genotypes under WW accumulated 30-46% and 30-53%, respectively greater shoot biomass over the DW. Furthermore, the shoot biomass remobilised for HD-2967, HD-3086, HD-3249, DBW-187, and HD-3226 under the WW was 32, 37, 39, 35, and 35% greater than the DW. The nitrogen partitioning to different plant parts at flowering (Z61) and maturity (Z89) was significantly greater with the WW than with DW. The total nitrogen- remobilized and contribution to grain-N under the WW was 55, 58, 52, 53, 58% and 9, 19, 15, 17, 17% greater than the DW for the genotypes HD-2967, HD-3086, HD-3249, DBW-187, and HD-3226. The irrigation water use efficiency (WUE) at flowering (Z61) was more under the deficit-watered, but the biomass and grain total WUE was improved with the well-watered condition. Hence, it is apparent that proper scheduling of irrigation and N applications, along with the adoption of a genotype suited to a particular environment, will result in better WUE and grain yields, along with better utilization of scarce resources.

Abstract Objective Obesity and chronic pain often co‐occur and exert bidirectional influences on one another. How patients with obesity and chronic pain respond to weight loss treatments, however, remains unclear. This study evaluated body weight, physical activity, and diet outcomes in participants with and without chronic pain in a 2‐year behavioral weight loss trial. Methods An analytical cohort of 397 adults was assembled from a Midwestern healthcare system that participated in the larger trial. Participants with chronic pain 1 year prior to, or during, the trial were identified using a validated medical records algorithm. Mixed models were used to estimate changes in outcomes over 24 months. Results One‐third of participants (n = 130) had chronic pain. After adjustment for age, sex, body mass index, and trial arm, weight loss was similar in both groups at 6‐months (−7.0 ± 0.8 kg with chronic pain vs. −7.7 ± 0.6 kg without). Participants with chronic pain had significantly less weight loss at 24‐months relative to those without (−3.6 ± 0.5 vs. −5.2 ± 0.4 kg; p = 0.007). Physical activity, screen time, dietary fat, fruit/vegetable consumption, and sugar‐sweetened beverage intake improved similarly in both groups over time. Conclusions Participants with chronic pain lost ∼33% less weight over 2 years, which was driven by greater weight regain after the first 6 months. Future research should test tailored weight loss maintenance strategies for individuals with chronic pain.

Tuberculosis of esophagus is rare, studies estimate that it constitutes about 0.3% of gastrointestinal TB cases and is usually secondary to tuberculosis focus elsewhere in the body, most commonly pulmonary tuberculosis. We report a case of tuberculosis of esophagus in a 50 year old male secondary to mediastinal lymph nodes for which we treated him conservatively with antitubercular drugs. The patient shows significant clinical improvement with decrease in dysphagia and odynophagia and weight gain as well as complete resolution of symptoms.

We examine the effects of exposure to negative information in attack advertisements in the context of Affordable Care Act (ACA) and Common Core (CC) education standards and show that they lead to an increase in the ACA enrollments and support of the CC standards. To explain this effect, we rely on the knowledge-gap theory and show that individuals who were exposed to more attack advertisements were also more likely to independently seek information, become more knowledgeable, and consequently support these subjects. In addition to an observational study, to test our hypotheses on the link between exposure to negative information, curiosity, and shifts in knowledge and support levels, we design and conduct a randomized experiment using a sample of 300 unique individuals. Our multi-methods research contributes to marketing literature by documenting a rare occasion in which exposure to attack advertisements leads to increased demand and unveiling the mechanisms through which this effect takes place.

Abstract Background Cell-scaffold contact measurements are derived from pairs of co-registered volumetric fluorescent confocal laser scanning microscopy (CLSM) images (z-stacks) of stained cells and three types of scaffolds (i.e., spun coat, large microfiber, and medium microfiber). Our analysis of the acquired terabyte-sized collection is motivated by the need to understand the nature of the shape dimensionality (1D vs 2D vs 3D) of cell-scaffold interactions relevant to tissue engineers that grow cells on biomaterial scaffolds. Results We designed five statistical and three geometrical contact models, and then down-selected them to one from each category using a validation approach based on physically orthogonal measurements to CLSM. The two selected models were applied to 414 z-stacks with three scaffold types and all contact results were visually verified. A planar geometrical model for the spun coat scaffold type was validated from atomic force microscopy images by computing surface roughness of 52.35 nm ±31.76 nm which was 2 to 8 times smaller than the CLSM resolution. A cylindrical model for fiber scaffolds was validated from multi-view 2D scanning electron microscopy (SEM) images. The fiber scaffold segmentation error was assessed by comparing fiber diameters from SEM and CLSM to be between 0.46% to 3.8% of the SEM reference values. For contact verification, we constructed a web-based visual verification system with 414 pairs of images with cells and their segmentation results, and with 4968 movies with animated cell, scaffold, and contact overlays. Based on visual verification by three experts, we report the accuracy of cell segmentation to be 96.4% with 94.3% precision, and the accuracy of cell-scaffold contact for a statistical model to be 62.6% with 76.7% precision and for a geometrical model to be 93.5% with 87.6% precision. Conclusions The novelty of our approach lies in (1) representing cell-scaffold contact sites with statistical intensity and geometrical shape models, (2) designing a methodology for validating 3D geometrical contact models and (3) devising a mechanism for visual verification of hundreds of 3D measurements. The raw and processed data are publicly available from https://isg.nist.gov/deepzoomweb/data/ together with the web -based verification system.

The present work endeavors fabrication of fast dissolving buccal film of clonidine hydrochloride by employing quality by design (QbD) based approach. The total nine formulations were prepared according to formulation by design helped by JMP software 13.2.1. The patient oriented quality target product profiles were earmarked and on that basis critical quality attributes were identified. Preliminary screening studies along with initial risk assessment eased the selection of film-forming polymer (HPMC E 15) and plasticizer (PEG 400) as CMAs for formulation of films. A 32 full factorial plan was utilized for assurance of impact, i.e., HPMC E15 (X1) and PEG 400 (X2), as independent variables (factors) on thickness (mm) (Y1), disintegration time (s) (Y2), folding endurance (Y3), and tensile strength (kg) (Y4). Furthermore, prediction profiler assists in predicting composition of best formulation encompassing desired targeted response. The optimized formulation (F6) showed fast drug dissolution (>90%) within 8 min, and solid state characterization by DSC, XRD revealed excellent film characteristics. In a nutshell, the fast dissolving buccal film for clonidine hydrochloride was successfully developed assisted by QbD approach with markedly improved biopharmaceutical performance as well as patient compliance.

Software firms are increasingly adopting an open source strategy, allowing them to leverage the effort exerted by the open source community toward improving software quality. In addition to embracing a proprietary or fully open source strategy, several firms choose a partial openness strategy wherein only certain parts of the code are open source while the rest is proprietary. Specifically, when adopting a partial openness strategy, a firm may choose to make the core software code open source while keeping the extension software code proprietary or keep the core proprietary and make the extension open source. When making decisions related to different openness strategies, firms need to take into account the level of effort they are exerting toward the improvement of the quality of software, the level of engagement of the open source community, and pricing. Hence, the decisions related to a firm's openness strategy are not straightforward. While this is an important question for many firms, it has not been analyzed in the literature. In this research, we attempt to fill this important gap by analyzing different openness strategies in the context of resource allocation for fixing defects. Specifically, using a game-theoretic model, we explore when a firm should make its software fully open source or partially open source and when it should keep it proprietary. Our results show that when the baseline demand for the firm increases with the extent of openness, the firm should either make its software fully open or keep it proprietary and, importantly, should not rely on partial openness. Next, in scenarios where customers are highly sensitive to security risks, the demand loss to efficiency gain ratio has an important role in determining a firm's optimal openness strategies. These findings provide important insights to firms on how to effectively plan their openness strategies and also establish a basis for future research on the topic of partial openness. [ABSTRACT FROM AUTHOR]

Research on platform owners' entry into complementary markets points in divergent directions. One strand of the literature reports a squeeze on post-entry complementor profits due to increased competition, while another observes positive effects as increased customer attention and innovation benefit the complementary market as a whole. In this research note, we seek to transcend these conflicting views by comparing the effects of the early and late timing of platform owners' entry. We apply a difference-in-differences design to explore the drivers and effects of the timing of platform owners' entry using data from three entries that Amazon made into its Alexa voice assistant's complementary markets. Our findings suggest that early entry is driven by the motivation to boost the overall value creation of the complementary market, whereas late entry is driven by the motivation to capture value already created in a key complementary market. Importantly, our findings suggest that early entry, in contrast to late entry, creates substantial consumer attention that benefits complementors offering specialized functionality. In addition, the findings also suggest that complementors with more experience are more likely to benefit from the increased consumer attention. We contribute to platform research by showing that the timing of the platform owner's entry matters in a way that can potentially reconcile conflicting findings regarding the consequences of platform owners' entry into complementary markets. [ABSTRACT FROM AUTHOR]

The coronavirus disease 2019 (COVID-19) pandemic has seen a rise in racial discrimination against Asian communities, notably the Chinese population. Despite growing research on various aspects of the pandemic, there is a notable gap in understanding its behavioral impact regarding racial discrimination. This study delves into the manifestations of COVID-19-related racial discrimination and antidiscrimination efforts on online platforms using large-scale data sets from Yelp.com and SafeGraph. We specifically examined how the pandemic affected Chinese restaurants compared with non-Chinese ones at different pandemic phases. Our findings are significant; the pandemic triggered an immediate surge in racial discrimination, resulting in a substantial decrease in customers visiting Chinese restaurants. Importantly, we applied advanced text mining and machine learning techniques to analyze user behavior, consistently revealing that increased discrimination prompted users to take antidiscrimination actions on online platforms. This research highlights a tangible form of racial discrimination through reduced patronage of Chinese restaurants and underscores the capacity of consumers to combat discrimination on online platforms. It calls for targeted policy interventions to address and prevent racial discrimination, particularly in the context of public health crises. The coronavirus disease 2019 (COVID-19) pandemic has led to an increase in cases of racial discrimination against Asians, especially Chinese people. Despite an emerging stream of studies investigating various aspects of the COVID-19 pandemic, research on the behavioral consequences of racial discrimination during the pandemic remains scarce. In this work, we examined how racial discrimination stemming from the COVID-19 pandemic and subsequent anti-discrimination were manifested on online platforms. By combining difference-in-differences analyses on two large-scale panel data sets from Yelp.com and SafeGraph and two controlled experiments, we explored the impact of COVID-19 on Chinese restaurants relative to non-Chinese restaurants at different phases of the COVID-19 pandemic. We found that the COVID-19 pandemic led to an immediate increase in racial discrimination, which was reflected in a significant drop in the customer patronage frequency of Chinese restaurants as compared with that of non-Chinese restaurants. Furthermore, analyses using multiple behavioral indicators generated by text mining and machine learning techniques consistently suggested that increased discrimination triggered anti-discrimination actions of customers on online platforms after the COVID-19 outbreak. This study contributes to the literature on racial discrimination by investigating a subtle but more factual form of racial discrimination evidenced by the customer patronage of Chinese restaurants as well as user-generated content by demonstrating that consumers can fight discrimination on online platforms. History: Paul Pavlou, Senior Editor; Yan Huang, Associate Editor. Funding: The authors are grateful for the financial support of the Basic and Applied Basic Research Foundation of Guangdong Province [Grant 2023A1515010823]; the National Natural Science Foundation of China [Grants 72102099 and 71832010]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2021.0568. [ABSTRACT FROM AUTHOR]

Incentivized blockchain-based online social media (BOSM), where creators and curators of popular content are paid in cryptocurrency, have recently emerged. Traditional social media ecosystems have experienced significant bot involvement in their platforms, which has often had a negative impact on both users and platforms. BOSM can provide additional direct financial incentives as motivation for both bots' and human users' engagement. Using the panel vector autoregression and regression discontinuity in time framework, we analyze two distinct data sets from Steemit, the largest and most popular BOSM, to study the impact of bot engagement on human users and the impact of changes in financial reward on user engagement. Interestingly, our findings demonstrate that while increased engagement by bots is positively associated with engagement by human users, the association between bot engagement and human user engagement decreases as the number of votes for a post increases. We also find that shifts in economic incentives significantly influence the behavior of both human users and bots. This research provides significant insights on how social media platforms can leverage economic incentives to influence user behavior and, more importantly, leverage bots' activity to increase the engagement of their human users. [ABSTRACT FROM AUTHOR]

Sixty male patients of leprosy (mean age = 27.2+5.04 years) selected at random, were studied for gonadal involvement and therapeutic efficacy of two indigenous drugs. Of these 34 were married, with the mean duration of illness 4.17+3.27 years. Only those with lepromatous and dimorphous leprosy developed testicular and epididymal changes. Testicular pain and/or swelling (lepromatous =62.5%, dimorphous 30%) was the commonest presenting feature. Altered sexual function was observed in 34 (56.6%) cases, while 11 patients revealed altered sexual hair pattern and nine gynaeco-mastia. Reduced testicular size associated with soft feel was present in 25% of cases with no testicular sensation in 8 (13.3%) and impaired testicular sensation in 9 (15%) patients. Spermogram revealed azoospermia in 19 (35%) and oligospermia in 16 (26.6%) patients. Histopathological findings of testicle biopsy revealed evidence of leprous pathology irrespective of testicular size, semen picture and clinical manifestations. Histopatho-logical changes had shown marked variation and so did not enable categorising them into vascular, interstitial and obliterative phases. These changes were believed to be due to the altered gonadal state in leprosy. The therapeutic efficacy of the indigenous preparations, Speman and Tentex forte (Himalaya) was evaluated subjectively as well as objectively in 34 patients. 823% of cases showed subjective improvement while objective improvement in spermogram was noted in 87.5% cases with oligospermia. The drugs have no side effect and were well tolerated.