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Abstract Background The additive model of inheritance assumes that heterozygotes (Aa) are exactly intermediate in respect to homozygotes (AA and aa). While this model is commonly used in single-locus genetic association studies, significant deviations from additivity are well-documented and contribute to phenotypic variance across many traits and systems. This assumption can introduce type I and type II errors by overestimating or underestimating the effects of variants that deviate from additivity. Alternative genotype encoding strategies have been explored to account for different inheritance patterns, but they often incur significant computational or methodological costs. To address these challenges, we introduce PAGER (Phenotype Adjusted Genotype Encoding and Ranking), an efficient pre-processing method that encodes each genetic variant based on normalized mean phenotypic differences between diallelic genotype classes (AA, Aa, and aa). This approach more accurately reflects each variant’s true inheritance model, improving model precision while minimizing the costs associated with alternative encoding strategies. Results Through extensive benchmarking on SNPs simulated with both binary and continuous phenotypes, we demonstrate that PAGER accurately represents various inheritance patterns (including additive, dominant, recessive, and heterosis), achieves levels of statistical power that meet or exceed other encoding strategies, and attains computation speeds up to 55 times faster than a similar method, EDGE. We also apply PAGER to publicly available real-world data and identify a novel, relevant putative QTL associated with body mass index in rats (Rattus norvegicus) that is not detected with the additive model. Conclusions Overall, we show that PAGER is an efficient genotype encoding approach that can uncover sources of missing heritability and reveal novel insights in the study of complex traits while incurring minimal costs.

Abstract Background The aim of this study is to report the early outcomes of valvular heart surgeries performed via the right thoracotomy approach. While thoracotomy with femoro-femoral bypass is an established method for minimally invasive open-heart surgeries, thoracotomy with conventional cannulation is still being explored. In our center, we conducted 958 valvular heart surgery cases using the right anterolateral thoracotomy approach with central cannulation and data were analyzed. Methods This is a retrospective observational study based on prospectively collected data from patients who underwent valvular heart surgery at our center spanning from April 2013 to April 2023. The data encompass demographics, procedures, operative techniques, post-operative morbidity, mortality, and a 1-month follow-up. Results Our study revealed no procedure-related mortality. No patient required conversion to median sternotomy. Smooth cannulation and satisfactory exposure were achieved in all patients. The study encompassed a wide age range, from 14 to 68 years, with 618 female patients (64.5%) and 340 male patients (35.5%). The average cross-clamp time ranged from 38 to 90 min, the duration of cardio-pulmonary bypass ranged from 45 to 105 min, post-operative extubation ranged from 3 to 8 h, the average drain volume ranged from 100 to 350 ml, and the incision size ranged from 5 to 7 cm. Conclusions Our data demonstrate that conventional cannulation via the right antero-lateral thoracotomy approach for valvular heart disease is a viable alternative to reduce the side effects associated with sternotomy and femoral cannulation. This procedure is safe, reproducible, and provides the same level of treatment quality.

Past studies have identified the general public’s level of satisfaction with the service attributes of conventional fixed-route transit and ridesharing services, but few have limited their focus to students. This study employs latent class cluster analysis (LCCA) to identify clusters of university students, based on their satisfaction levels of the attributes of conventional fixed-route and ridesharing services, and uses a latent class behavioral model of a sample of university students in Arlington, Texas to explore the heterogeneity of their preferences toward ridesharing services. The results indicate that younger- and lower-income populations are more likely to be satisfied with on-demand ridesharing services than older- and higher-income populations, females are more likely to be satisfied with ridesharing services than males, and domestic students are more likely to be satisfied with ridesharing services than international students. The outcomes of the study will provide transportation planners with new insights about the significance of sociodemographic factors on the satisfaction level of those who use conventional transit and on-demand ridesharing services and will help them incorporate strategies that will make their services more attractive to their potential ridership.

Abstract Background The human endometrium, lining the inner uterus, regenerates over 400 times uniquely during a woman’s reproductive life. Endometrial stem cells (eSCs) enrich the tissue, resulting in a dense vascular network, significant angiogenic potential, and effective regeneration power. Being of natural angiogenic properties and proven effective in the treatment of vascular disorders, eSCs can be considered safe, reliable, and superior to other post-natal stem cells. Cluster of Differentiation 146 (CD146) has emerged as a pivotal marker associated with pericytes and endothelial cells for promoting angiogenesis. Endometrial cells with high CD146 expression could proliferate and differentiate into multiple lineages. This study will explore the role of CD146 in eSCs, focusing on the potential to boost the angiogenic and regenerative functions of the cells. The novelty of this study lies in the investigation of CD146 on eSC function, which may open new possibilities for eSC-based therapy in regenerative medicine and vascular disorders. Methods The study involved obtaining endometrial biopsies from active reproducing women to isolate and cultivate eSCs. eSCs were assessed for growth factor secretion pattern, characterized for their mesenchymal properties. Finally, eSCs were tested for their angiogenic potential by angiogenic gene expression profile and in-ovo chick embryo model. As aimed, to check the role of CD146 in eSC angiogenesis, CD146+ cells were magnetically sorted and cultured. The sorted cells underwent various analyses, including flowcytometry to identify mesenchymal markers and human growth factor panel to analyze growth factor secretion profiles The study evaluated the angiogenic potential of CD146 + cells using functional assays, including ring formation, endothelial differentiation, and wound scratch assays, to evaluate cell migration and healing capabilities. Molecular insights were obtained through chemokine and cytokine investigations In-ovo Chick model assay was conducted to check the angiogenic potential and evaluated through macroscopic as well as through immunohistochemistry. Result Endometrial stem cells (eSCs) were successfully isolated using a combination of mechanical and enzymatic digestion, followed by culturing in complete DMEM media. The secretion profile of eSCs revealed significant production of various angiogenic growth factors, including Granulocyte macrophage colony-stimulating factor (GM-CSF), granulocyte colony stimulating factor (G-CSF), Vascular endothelial growth factor (VEGF), Fibroblast growth factors (FGF), and Platelet derived growth factor AA (PDGF-AA). The angiogenic gene profile indicated upregulation of several angiogenic genes in eSCs. The mesenchymal nature of eSCs was demonstrated through surface marker analysis (Cluster of differentiation 73, Cluster of differentiation 90, Cluster of differentiation 105) and trilineage differentiation. The in-ovo chick model confirmed the angiogenic potential of eSCs. CD146+ cells, isolated via magnetic sorting, exhibited enhanced angiogenic potential. These cells secreted significant levels of angiogenic growth factors such as VEGF. In Matrigel assays, CD146+ cells formed endothelial ring structures more rapidly and persistently than unsorted eSCs. Semi-quantitative PCR confirmed their endothelial differentiation. CD146+ cells express various angiogenic chemokines such as CXCL5, CXCL8, CCL3, and CCL20 and cytokines such as GM-CSF, Interleukin-1β (IL-1β), Interleukin-6 (IL-6), PDGF AA/BB, Epidermal growth factor (EGF), Endothelin 1, Angiopoietin. In-ovo chick model assay showed that CD146+ cells had superior angiogenesis, with more nodes, junctions, and segments compared to eSCs and controls. Immunohistochemistry confirmed increased expression of endothelial markers (Cluster of differentiation 31, VEGF, Vascular associated protein (VAP), Von Willebrand factor (vWF) in CD146+ cells. Conclusion The study highlights the angiogenic potential of endometrial stem cells, particularly the CD146+ cell population. These cells promote angiogenesis, secreting growth factors and forming stable blood vessel structures. CD146+ cells have higher expression levels of VEGF and TGF-α, key factors in angiogenesis. This suggests CD146+ eSCs may be promising for therapeutic applications in vascular diseases requiring angiogenesis. Further research is needed.

Abstract Clinical outcomes for TAVR in cancer survivors with prior chest radiation therapy (C-XRT) who develop symptomatic aortic-valve stenosis are not adequately assessed in major clinical trials leading to conflicting results. Hence, we conducted this meta-analysis to evaluate the, safety, efficacy, and mortality outcomes of cancer survivors with prior C-XRT undergoing TAVR. MEDLINE and Scopus were searched up to March 2024. Observational studies and randomized controlled trials comparing severe aortic stenosis patients with and without prior C-XRT undergoing TAVR with at least one outcome of interest were shortlisted. Data were analyzed using random-effects model to derive weighted mean differences, and risk ratios with 95% confidence intervals. Six studies with 6,191 patients (278 C-XRT and 5,913 no-C-XRT) were included. All-cause mortality at 30-day (RR 1.63, p = 0.12) and 1-year interval (RR 1.59, p = 0.08) showed no significant differences with prior C-XRT versus no-C-XRT. Worsening CHF was the only post-procedural safety outcome significantly higher in patients with prior C-XRT (RR 1.98, p = 0.0004) versus no- C-XRT. The efficacy end-points i.e., improvement in LVEF (MD 1.24; -0.50, 2.98), and aortic valve gradient (MD -0.63; -1.32, 0.05) were not significantly different. TAVR has similar all-cause mortality, efficacy and safety (except CHF worsening) among cancer survivors with and without a prior history of C-XRT.

Abstract Background Dissection of complex plant cell wall structures demands a sensitive and quantitative method. FTIR is used regularly as a screening method to identify specific linkages in cell walls. However, quantification and assigning spectral bands to particular cell wall components is still a major challenge, specifically in crop species. In this study, we addressed these challenges using ATR-FTIR spectroscopy as it is a high throughput, cost-effective and non-destructive approach to understand the plant cell wall composition. This method was validated by analysing different varieties of mungbean which is one of the most important legume crops grown widely in Asia. Results Using standards and extraction of a specific component of cell wall components, we assigned 1050–1060 cm−1 and 1390–1420 cm−1 wavenumbers that can be widely used to quantify cellulose and lignin, respectively, in Arabidopsis, Populus, rice and mungbean. Also, using KBr as a diluent, we established a method that can relatively quantify the cellulose and lignin composition among different tissue types of the above species. We further used this method to quantify cellulose and lignin in field-grown mungbean genotypes. The ATR-FTIR-based study revealed the cellulose content variation ranges from 27.9% to 52.3%, and the lignin content variation ranges from 13.7% to 31.6% in mungbean genotypes. Conclusion Multivariate analysis of FT-IR data revealed differences in total cell wall (600–2000 cm−1), cellulose (1000–1100 cm−1) and lignin (1390–1420 cm−1) among leaf and stem of four plant species. Overall, our data suggested that ATR-FTIR can be used for the relative quantification of lignin and cellulose in different plant species. This method was successfully applied for rapid screening of cell wall composition in mungbean stem, and similarly, it can be used for screening other crops or tree species.

Abstract The performance of a wind turbine and its efficiency majorly depends on wind‐to‐rotor efficiency. The aerodynamic design of the wind turbine blades using high‐fidelity tools such as adjoint‐computational fluid dynamics (CFD) is accurate but computationally expensive. It becomes impractical when the number of design variables increases for multidisciplinary optimization (MDO). Low‐fidelity tools are computationally cheaper but are not accurate, especially in regions of adverse pressure gradient and reverse flows. Surrogate modeling has been used in many aerodynamic problems. We develop and apply a recent architecture of the deep learning module, tandem neural networks (T‐NNs) for the inverse design of wind turbine airfoils. The T‐NNs trained on CFD data for fully turbulent cases predict not only the performance parameters for the given airfoil geometry but also the airfoil geometry for a given design objective. This framework uses the entire performance polar for inverse design which ensures that the airfoil optimization is not a single‐point optimization problem which is essential for practical design problems. The T‐NNs are also optimized to include multiple constraints like maximum thickness and trailing edge (TE) thickness which is a novel contribution in the field of inverse design using surrogate models. A statistical analysis is also performed to predict a family of airfoil geometries.

Acquired Tracheo-oesophageal Fistula (TEF) is a known entity in the paediatric age group; however, epidemiological data regarding this condition are sparse. Iatrogenic TEF is uncommon, present case is of a 14-year-old girl who is wheelchair-bound and on percutaneous gastrostomy feeding. She presented to the outpatient department with recurrent lower respiratory infections lasting more than six months. She is a known case of cerebral dural venous sinus thrombosis (CVT) and was artificially ventilated in the intensive care unit for three weeks. As a sequel to her neurological condition, she is paraplegic. Additionally, she experienced choking during each feeding and had bouts of prolonged coughing, which restricted her from taking oral feeds for over six months. Imaging revealed a cervical TEF. She underwent successful closure of this fistula and is now able to eat orally. This teenage girl had a fistula located above the level of the isthmus of the thyroid gland. It may have occurred during her tumultuous course in the intensive care unit, likely due to pressure necrosis of the tissue between the tracheostomy/endotracheal tube and the indwelling feeding nasogastric tube. A literature search did not reveal any similar cases in the paediatric population.

This study presents a rare instance of cervical papillary adenofibroma, a benign biphasic neoplasm originating from glandular and fibrous tissue, occurring in a 43-year-old female patient. Most common site is the endometrium. Papillary adenofibroma arising from the cervix is an infrequent entity. Uterine adenofibromas were first described by Ober in 1959 as a form of mixed mesodermal tumor. Cervical adenofibromas was first described by Abell in 1971. Both the stromal and epithelial components are benign. Grossly, adenofibroma present as a papillary, polypoidal or sessile lesion that may protrude into the endocervical canal with cut surface showing multiple cysts imparting it a spongy appearance. Microscopically, they have a nodular surface with a lobulated papillary configuration. The tumor may recur if incompletely excised. Adenosarcoma and adenomyoma are important differential diagnosis. The clinical presentation, diagnostic procedures, gross appearance, microscopic architecture, and management strategies are elucidated in this case report. Emphasizing the significance of accurate diagnosis and tailored treatment, this case report underscores the importance of recognizing and managing such infrequent cervical tumors. Through this case report, our aim is to contribute to the existing medical literature on cervical papillary adenofibromas, shedding light on its clinical characteristics, diagnostic nuances, and management modalities for the benefit of clinicians and researchers encountering similar cases. Keywords: Adenofibroma, Adenosarcoma, Benign, Cervix, Papillary, Rare

Cancer remains a concern after years of research in this field. Conventional therapies such as chemotherapy, radiation, and surgery are available for cancer treatment, but they are characterized by various side effects. There are several immunological challenges that make it difficult for the immune system and conventional therapies to treat cancer. Some of these challenges include heterogeneity, resistance to medicines, and cancer relapse. Even advanced treatments like immune checkpoint inhibitors (ICIs), which revolutionized cancer treatment, have associated toxicity and resistance further necessitate the exploration of alternative therapies. Anticancer peptides (ACPs) offer promising potential as cancer-fighting agents and address challenges such as treatment resistance, tumor heterogeneity, and metastasis. Although these peptides exist as components of the defense system in various plants, animals, fungi, etc., but can also be created synthetically and used as a new treatment measure. These peptides possess properties that make them appealing for cancer therapy, such as apoptosis induction, inhibition of angiogenesis, and cell membrane breakdown with low toxicity. Their capacity to specifically target cancer cells selectively holds promise for enhancing treatment environments as well as improving patients’ quality of life. This review provides detailed insights into the different prospects of ACPs, including their characterization, use as immunomodulatory agents in cancer treatment, and their mechanistic details after addressing various immunological challenges in existing cancer treatment strategies. In conclusion, ACPs have promising potential as novel cancer therapeutics due to their target specificity and fewer side effects than conventional therapies.

Abstract Background Despite recent advances in lung cancer therapeutics and improving overall survival, disparities persist among socially disadvantaged populations. This study aims to determine the effects of neighborhood deprivation indices (NDI) on lung cancer mortality. This is a multicenter retrospective cohort study assessing the relationship between NDI and overall survival adjusted for age, disease stage, and DNA methylation among biopsy-proven lung cancer patients. State-specific NDI for each year of sample collection were computed at the U.S. census tract level and dichotomized into low- and high-deprivation. Results A total of 173 non small lung cancer patients were included, with n = 85 (49%) and n = 88 (51%) in the low and high-deprivation groups, respectively. NDI was significantly higher among Black patients when compared with White patients (p = 0.003). There was a significant correlation between DNA methylation and stage for HOXA7, SOX17, ZFP42, HOXA9, CDO1 and TAC1. Only HOXA7 DNA methylation was positively correlated with NDI. The high-deprivation group had a statistically significant shorter survival than the low-deprivation group (p = 0.02). After adjusting for age, race, stage, and DNA methylation status, belonging to the high-deprivation group was associated with higher mortality with a hazard ratio of 1.81 (95%CI: 1.03–3.19). Conclusions Increased neighborhood-level deprivation may be associated with liquid biopsy DNA methylation, shorter survival, and increased mortality. Changes in health care policies that consider neighborhood-level indices of socioeconomic deprivation may enable a more equitable increase in lung cancer survival.

Abstract Underground wastewater collection systems degrade with time, necessitating utility owners to engage in ongoing evaluations and enhancements of their asset management frameworks to preserve the performance of their assets. The inspection and condition assessment of sewer pipes are crucial for the effective operation and maintenance of sewer systems. The closed-circuit television (CCTV) is frequently employed to examine sewer pipes in the United States. This procedure is both costly and laborious because of the extensive number of pipes in a metropolis. Prioritisation of inspection for sanitary sewage pipe segments requiring repair or maintenance can be done in advance depending on their past performance. Hence, the aim of this study is to construct a predictive model for the state of sanitary sewer pipes, utilising data collected from a city located in the southcentral region of the United States. The main contribution is that this study used multiclass classification and predicted PACP scores of the pipes. Condition prediction models were developed using extensively utilised supervised machine learning algorithms including logistic regression (LR), k-nearest neighbors (k-NN), and random forest (RF). However, the bulk of the constructed models were assessed using a limited number of assessment measures, such as the receiver operator characteristic (ROC) curve and the area under the curve (AUC) value. This paper asserts that the assessment of the predictive capacity of these models cannot be determined only by relying on ROC and AUC values. Out of the three models evaluated in this study, the LR model had an AUC value of 0.76. However, this model had a higher number of misclassifications or inaccurate predictions compared to the other models. Consequently, these models were assessed using additional assessment measures, including precision, recall, and F-1 scores (which represent the harmonic mean of precision and recall). Curiously, the LR model achieved an F1-score of 0.28 on a scale ranging from 0 to 1. The RF model yielded an F1-score of 0.45 and an AUC value of 0.86. The existing model can be enhanced before it is employed by asset managers during the inspection phase to assess the state of their sanitary sewers and identify essential sewers that require immediate care.

Abstract This study aimed to elucidate the regression process of ostium granulomas under the usage of intranasal steroid after primary endoscopic dacryocystorhinostomy (DCR). The authors retrospectively reviewed 57 patients (a total of 72 ostia) who had ostium granulomas after primary endoscopic DCR between 2011 and 2015. Topical intranasal steroid spray was applied in all the patients since postoperative day 1. Adjunctive intralesional triamcinolone acetonide injections were administered for extensive and large-sized granulomas that caused impending ostium blockage. Sequential regression of the ostium granulomas and success rates of DCR were assessed using endoscopic photos. The granulomas completely disappeared in 69 (95.8%) ostia, and the average time interval from the surgery to the disappearance was 6.9 ± 2.8 months. Anatomical and functional surgical success rates were 90.3% and 84.7%, respectively. Intralesional steroid injections for ostium granulomas did not alter the outcomes compared to topical intranasal steroid usage significantly (p = 0.445). In conclusion, we observed that, by continuing the usage of intranasal steroids, ostium granulomas disappear gradually at postoperative 6 months. The intranasal surgical manipulation of granulomas, which results in more mucosal cicatricial change and impedes patient satisfaction, can be successfully avoided.

The new advancement in percutaneous intervention procedures, which provides more accurate needle placement compared to other modalities, is Augmented Reality (AR). It provides the operator with 3-dimensional (3D) or 2-dimensional (2D) structures of the anatomy along with the target during surgery to get a precise needle placement into the target. The review highlights that using AR systems for needle navigation and placement can become productivity in various interventional procedures. The AR navigation system reduces radiation exposure, procedural time, risk to the patient, and ensures higher accuracy of needle placement than conventional Computed Tomography (CT)-guided percutaneous procedure systems. The AR system can provide precisely guided needle insertion and reduce the risk of complications. As technology and research are increasing, new techniques, such as automatic image-hologram registration, can be brought into the picture. This review compares conventional image-guided procedure systems with the AR system in the interventional radiology field. This review also provides detailed information about AR as a promising tool for optimising needle placement in interventional procedures, paving the way for safer and more effective clinical practices.

Kluyvera spp. is a Gram-negative bacillus and was discovered by Kluyver and van Niel, included in the family Enterobacteriaceae. We report two cases of urinary tract infection due to Kluyvera ascorbata. The first case was a 61-year-old male, who was admitted to the nephrology department of the hospital with chief complaints of fever with chills from 1 week, abdominal pain, and difficulty in passing urine. The second case was a 29-year-old female, who presented to the medicine department of the hospital with a 4-day history of fever with associated chills and rigor, abdominal pain, chills, and weakness. These patients were treated with nitrofurantoin given orally for 7 days they recovered completely. This case series highlights the role of K. ascorbata, and in general of Kluyvera species, as an unusual but potentially dangerous pathogen, the need for prompt identification to determine potential pathogenicity in the immunocompetent as well as in the immunocompromised host, and to assess the efficacy of antibiotics such as carbapenems and nitrofurantoin.

Esthetics play a very important role in dentistry. In the absence of teeth, the alveolar ridges resorb, causing the facial muscles to lose support, resulting in diminished facial muscle tone, and a slumped cheek. The authors present here a case of a 54-year-old male patient who reported missing upper and lower teeth. An intraoral examination revealed completely edentulous maxillary and mandibular arches. On extraoral examination, the cheeks were sunken, and the skin was wrinkled. For the patient, a complete denture with removable cheek plumpers was advised due to his hollow cheeks. This method accurately determines the space available for cheek plumpers.

Background: Fenugreek plant (Trigonella foenum-graecum) constitutes a traditionally acclaimed herbal remedy for many human ailments including diabetes, obesity, neurodegenerative diseases, and reproductive disorders. It is also used as an effective anti-oxidative, anti-inflammatory, antibacterial, and anti-fungal agent. The seed of the plant is especially enriched in several bioactive molecules including polyphenols, saponins, alkaloids, and flavonoids and has demonstrated potential to act as an antidiabetic phytotherapeutic. A novel patented formulation (Fenfuro®) was developed in our laboratory from the fenugreek seeds which contained >45% furostanolic saponins (HPLC). Objective: A placebo-controlled clinical compliance study was designed to assess the effects of complementing Fenfuro® on a randomized group of human volunteers on antidiabetic therapy (Metformin and sulphonylurea) in controlling the glycemic index along with simultaneous safety assessment. Study methodology and trial design: In a randomized double-blind, placebo-controlled trial, 42 individuals (21 male and 21 female volunteers) in the treatment group (out of 57 enrolled) and 39 individuals (17 male and 22 female volunteers) in the placebo group (out of 47 enrolled), all on antidiabetic therapy with Metformin/Metformin with sulphonyl urea within the age group of 18–65 years were administered either 1,000 mg (500 mg × 2) (Fenfuro®) capsules or placebo over a period of 12 consecutive weeks. Fasting and postprandial glucose along with glycated hemoglobin were determined as primary outcomes to assess the antidiabetic potential of the formulation. Moreover, in order to evaluate the safety of the formulation, C-peptide and Thyroid Stimulating Hormone (TSH) levels as well as immunohematological parameters were assessed between the treatment and placebo groups at the completion of the study. Results: After 12 weeks of administration, both fasting as well as postprandial serum glucose levels decreased by 38 and 44% respectively in the treatment group. Simultaneously, a significant reduction in glycated hemoglobin by about 34.7% was also noted. The formulation did not have any adverse effect on the study subjects as there was no significant change in C- peptide level and TSH level; liver, kidney, and cardiovascular function was also found to be normal as assessed by serum levels of key immunohematological parameters. No adverse events were reported. Conclusion: This clinical compliance study re-instated and established the safety and efficacy of Fenfuro® as an effective phytotherapeutic to treat hyperglycemia.

Fuchs endothelial corneal dystrophy (FECD), the leading indication for corneal transplantation in the U.S., causes loss of corneal endothelial cells (CECs) and corneal edema leading to vision loss. FECD pathogenesis is linked to impaired response to oxidative stress and environmental ultraviolet A (UVA) exposure. Although UVA is known to cause nonapoptotic oxidative cell death resulting from iron-mediated lipid peroxidation, ferroptosis has not been characterized in FECD. We investigated the roles of genetic background and UVA exposure in causing CEC degeneration in FECD. Using ungenotyped FECD patient surgical samples, we found increased levels of cytosolic ferrous iron (Fe2+) and lipid peroxidation in end-stage diseased tissues compared with healthy controls. Using primary and immortalized cell cultures modeling the TCF4 intronic trinucleotide repeat expansion genotype, we found altered gene and protein expression involved in ferroptosis compared to controls including elevated levels of Fe2+, basal lipid peroxidation, and the ferroptosis-specific marker transferrin receptor 1. Increased cytosolic Fe2+ levels were detected after physiologically relevant doses of UVA exposure, indicating a role for ferroptosis in FECD disease progression. Cultured cells were more prone to ferroptosis induced by RSL3 and UVA than controls, indicating ferroptosis susceptibility is increased by both FECD genetic background and UVA. Finally, cell death was preventable after RSL3 induced ferroptosis using solubilized ubiquinol, indicating a role for anti-ferroptosis therapies in FECD. This investigation demonstrates that genetic background and UVA exposure contribute to iron-mediated lipid peroxidation and cell death in FECD, and provides the basis for future investigations of ferroptosis-mediated disease progression in FECD.

Objective: The authors report the results of “only-fixation” of the affected spinal segment without any decompression of the bones or soft tissue or manipulation of the cyst wall or contents in eight cases having lumbar parafacetal cyst (LPFC). This surgical strategy was based on the concept that LPFCs are secondary to spinal instability, has a protective or adaptive role, and is reversible following stabilization. Materials and Methods: During the period from January 2018 to January 2023, eight consecutive patients having LPFC were surgically treated. There were 5 males and 3 females, and their ages ranged from 48 to 72 years (average 63 years). Seven patients had a single cyst and one patient had multiple cysts. The patients presented with symptoms classically attributed to lumbar canal stenosis. Apart from the cyst-affected spinal segment, degenerative alterations were observed in adjoining spinal segments in six out of seven patients having a single cyst. All patients underwent “only fixation” of the unstable spinal segments without any kind of bone or soft-tissue resection and without any manipulation or handling of the cyst wall or contents. Results: During the follow-up period that ranged from 12 to 57 months (average 29 months), all patients improved from their symptoms. The recovery was observed in the immediate postoperative period and was lasting. Conclusions: LPFCs are one of the several secondary alterations observed in spinal degeneration. Identification of unstable spinal segments and their fixation constitutes rational treatment of lumbar parafacetal cysts. Direct handling and resection of cysts are unnecessary.

Abstract Influencer marketing has become a potent and dynamic force in the digital age, changing the face of marketing in a variety of sectors. Even though social media influencers are still important in corporate communication strategies, there are still unresolved issues concerning what exactly makes an influencer powerful and how that influence impacts the behaviour of their followers. This research investigates the role of interactional elements used by beauty vloggers on the purchase intentions of consumers. In addition to the influence of beauty vloggers, there are inherent aspects that impact consumer purchasing behaviour. The present study also examines the impact of audience characteristics in forming consumer attitudes towards beauty vloggers that result in shaping favourable consumer behaviour. The study was carried out on individuals aged 16 to 45 years, who use social platforms regularly. Data obtained from 367 respondents from North India was analysed using structural equation modelling with the SmartPLS software. The outcome of the study demonstrates that interactional elements used by beauty vloggers impact the behaviour of consumers. The results also showed that perceived influence serves as a partial mediator in the relationship between interactional elements and consumers’ purchase intention. Moreover, findings indicate that when consumers hold favourable attitudes towards beauty vloggers, the impact of self-concept and personality congruence enhancement on consumer behaviour is amplified, showcasing the mediating role of consumer attitude. The study’s findings offer insights that can assist industrial marketers and cosmetic company practitioners in strategically selecting influencers to boost sales.

Objective and Design: Although many studies have been conducted to assess the knowledge and practices among healthcare workers, high-risk groups or medical students, very few studies have been conducted among college students from non-medical backgrounds. Our study aimed to assess the knowledge, attitudes and perception about human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) among the college students of the Mumbai region and to determine their association with the socio-demographic variables. Setting and Methods: A cross-sectional online and offline questionnaire survey was conducted among 401 college students from the month of August 2022 to October 2022. Mean score and percentage were used to analyse the data. Results: About 82.04% of participants exhibited good knowledge about HIV transmission and prevention, while 46.38% had a positive attitude towards HIV. Age, gender, religion and education had not influenced either knowledge or attitude significantly. Overall, knowledge score had a weak positive correlation with attitude of the participants. Conclusion: Our study findings indicate that a holistic approach covering knowledge, psychological and societal health aspects is necessary among youth in India for positive changes in people’s behaviour and achieving HIV prevention and management goals which will benefit public health at large.

Current trends show that wind turbines are growing in size to meet a rising demand for renewable energy generation, and their upscaled rotors have inherently become more flexible to maintain a proportionally lighter design. This is because larger rotors must be less massive relative to their diameter to minimize the levelized cost of energy (LCOE), which means that blades that are notably less stiff are produced as a result. These structural changes to blades are often reflected in their compromised aeroelastic stability and amplified deformation during operation, which has the potential to decrease the blade’s expected lifetime and the performance of the machine overall. Variations in blade flexibility are also known to influence vortex-wake structures downstream of the turbine, causing patterns of velocity deficit to evolve in ways that affect the performance of other turbines in the farm. This research explores how the increased flexibility of modern utility-scale wind turbine blades influences rotor aeroelastic behavior and interactions with farm flow. High-fidelity simulations of Sandia National Laboratories’ (SNL) National Rotor Testbed (NRT) wind turbine are presented. Flexible variations of the NRT baseline blade are simulated in a variety of realistic operational conditions typically expected at the SNL’s SWiFT facility in Lubbock, Texas. Solutions are then compared to investigate how specific changes to the structural properties of the NRT baseline blade’s design and construction can influence its aeroelastic response at the rotor and the evolution of the turbine’s wake.

Isocitrate dehydrogenase mutant gliomas generally have a better prognosis than their wild-type counterpart. Recurrences are generally within the radiation field in the primary tumoral bed. Remote recurrence is uncommon and is usually intraparenchymal. Transformation to a higher grade has been observed with TP53 mutants. Presentation of glioma as an extra-axial lesion is extremely uncommon. No such cases of remote intracranial extra-axial recurrence have been reported in the literature. We describe the unique imaging findings in this case and attempt to formulate possible diagnoses. Intraoperative and pathological findings confirmed this unusual recurrence pattern.

Introduction: Brucellosis is a disease that can have severe consequences for both humans and animals, resulting in considerable economic losses due to its impact on human health and animal productivity. To prevent the transmission of this disease from animals to humans, it is essential to improve the community’s knowledge, attitude, and practice (KAP). This study aimed to evaluate the KAP and associated risk factors for human brucellosis among rural populations in Nagpur, Maharashtra, India. Materials and Methods: Using closed-ended questionnaires, a cross-sectional study was conducted to collect data on demographics and risk exposure variables from 382 participants. The collected data were entered into Microsoft Excel and analyzed using SPSS. Descriptive statistics were used to evaluate demographic features and KAP. Results: 78.5% were male, and 21.5% were female. Their ages ranged from 18 to 90 years, and 92.1% were married. Only 4.5% of respondents had heard of brucellosis, 21.5% consumed unpasteurized milk, 3.9% used protective gloves while assisting during calving, and 15.4% milked the animal. Furthermore, 21.2% buried animal birth products, 10.9% burned animal birth products, and 13.6% threw animal birth products in the dustbin. Overall, the respondents’ attitude was average to poor. Conclusion: This study revealed that the rural population has poor knowledge and high-risk self-reported practices and behaviors for brucellosis. Therefore, enhancing public health education and local organizational involvement is imperative to increase the community’s capacity to prevent brucellosis as an integral part of the National Control Program on Brucellosis in India.

Detoxification of water resources is the need of the hour and a number of environment friendly materials are proposed by scientist to deal with water pollution issues. The present study deals with preparation and characterization of porous activated carbon from golden shower pods, a waste ligno-cellulosic biomass, for the removal of dye contaminants from aqueous solution. The synthesized material, golden shower biochar (GSBC) was characterized using various analytical techniques to confirm the presence of active sites. The BET analysis of GSBC revealed high surface area of 1120 m2/g with total pore volume of 1.099 cm3/g and average pore radius 19.618 Å. Operational parameters were optimized using batch studies by taking GSBC dose of 50 mg which showed complete removal of target dyes with an initial dye concentration of 200 mg/L with just 60 min interaction time; based on these results, a fixed bed column of GSBC was designed and column studies were performed. Adsorption isotherm studies were carried out using Langmuir and Freundlich models, of which Langmuir model was found to be best-fit with maximum adsorption capacities of 208.86 mg/g, 284.35 mg/g and 327.56 mg/g for Crystal violet, Brilliant green and Methylene blue dyes respectively. Analysis of kinetics and thermodynamics revealed that the best-fit model was pseudo second-order with spontaneous reaction course and exothermic nature. Regeneration was carried out using gamma irradiation of dye loaded GSBC, followed by leaching in alcohol. It was observed that a 30 KGy dose was just sufficient to completely degrade the dye on the adsorbent surface. GSBC has shown immense potential for eradication of dyes from water effluents and it is easily recovered with negligible loss in efficacy.

Background: Currently, one of the most prevalent oral abnormalities is malocclusion. There is a rising percentage of patients who are willing to undertake orthodontic procedures. Aim: To evaluate the impact of orthodontic treatment on the morphology of temporomandibular joint (TMJ) in patients with malocclusion associated with TMJ abnormality such as skeletal class II deep bite malocclusion using CBCT. Methods and Materials: In total, 80 patients who underwent orthodontic treatment for skeletal class II deep bite malocclusion over a duration of 3 years were included. Parameters of the morphology of the condyle and glenoid fossa on CBCT scan both before and after orthodontic therapy were measured. Results: The maximum cross-sectional area of the condyle decreased from 99.84 ± 18.89 mm2 to 81.32 ± 16.80 mm2 after orthodontic treatment. The anterior condyle oblique inclination increased from 34.14 ± 2.98° to 36.52 ± 3.41° after orthodontic therapy. The articular eminence to the FH plane angle increased from 29.65 ± 2.53° to 33.29 ± 4.18° after orthodontic therapy. Conclusion: Orthodontic treatment is significantly correlated with improvement in TMJ health in patients of malocclusion.

BackgroundWell-being is a multidimensional concept and has been extended to many areas. Student well-being has garnered attention over the last decade due to concerns that have been raised. Digital health interventions have the potential to enhance and improve student well-being. ObjectiveThe objective of the study is to design, develop, and pilot-test a digital health platform to enhance student well-being. MethodsA sample size of 5000 participants will be recruited across Gujarat and Tamil Nadu, India. Students will be enrolled from Parul University in Vadodara, Gujarat, as well as Panimalar Medical College Hospital and Research Institute, Panimalar Engineering College, Panimalar Institute of Technology, and Panimalar College of Nursing in Chennai, Tamil Nadu. Current undergraduate and graduate students consenting to participate will be recruited using convenience sampling from these institutes. The study will collect baseline data to construct the student well-being index. Based on the risk profile, a random subset of the population will be provided access to the digital health intervention, which will deliver tailored interactive messages addressing the various dimensions of well-being among undergraduate and graduate students. The eligible study participants will be aged 18 years and older, enrolled in these institutes, and willing to give their consent to participate in the study. ResultsThe proposed research is an unfunded study. The enrollment of the individuals in the study began in October 2022. Data gathered will be analyzed using SAS (version 9.3; SAS Institute) and results will be reported as 95% CIs and P values. ConclusionsThe proposed study will help to determine the factors affecting well-being among college students and help in designing digital health interventions to improve the well-being of undergraduate and graduate students. International Registered Report Identifier (IRRID)PRR1-10.2196/39779

Background Black patients meeting indications for implantable cardioverter‐defibrillators (ICDs) have lower rates of implantation compared with White patients. There is little understanding of how mental health impacts the decision‐making process among Black patients considering ICDs. Our objective was to assess the association between depressive symptoms and ICD implantation among Black patients with heart failure. Methods and Results This is a secondary analysis of the VIVID (Videos to Address Racial Disparities in ICD Therapy via Innovative Designs) randomized trial, which enrolled self‐identified Black individuals with chronic systolic heart failure. Depressive symptoms were assessed by the Patient Health Questionnaire‐2 and the Mental Component Summary of the 12‐Item Short‐Form Health Survey. Decisional conflict was measured by an adapted Decisional Conflict Scale (DCS). ANCOVA was used to assess differences in Decisional Conflict Scale scores. Multivariable logistic regression was used to examine the association between depressive symptoms and ICD implantation. Among 306 participants, 60 (19.6%) reported depressed mood, and 142 (46.4%) reported anhedonia. Participants with the lowest Mental Component Summary of the 12‐Item Short‐Form Health Survey scores (poorer mental health and higher likelihood of depression) had greater decisional conflict regarding ICD implantation compared with those with the highest Mental Component Summary of the 12‐Item Short‐Form Health Survey scores (adjusted mean difference in Decisional Conflict Scale score, 3.2 [95% CI, 0.5–5.9]). By 90‐day follow‐up, 202 (66.0%) participants underwent ICD implantation. There was no association between either the Patient Health Questionnaire‐2 score or the Mental Component Summary of the 12‐Item Short‐Form Health Survey score and ICD implantation. Conclusions Depressed mood and anhedonia were prevalent among ambulatory Black patients with chronic systolic heart failure considering ICD implantation. The presence of depressive symptoms did not impact the likelihood of ICD implantation in this population.

Globally, infections due to multi-drug resistant (MDR) Gram-negative bacterial (GNB) pathogens are on the rise, negatively impacting morbidity and mortality, necessitating urgent treatment alternatives. Herein, we report a detailed bio-evaluation of an ultrashort, cationic lipopeptide ‘SVAP9I’ that demonstrated potent antibiotic activity and acted as an adjuvant to potentiate existing antibiotic classes towards GNBs. Newly synthesized lipopeptides were screened against ESKAPE pathogens and cytotoxicity assays were performed to evaluate the selectivity index (SI). SVAP9I exhibited broad-spectrum antibacterial activity against critical MDR-GNB pathogens including members of Enterobacteriaceae (MIC 4–8 mg/L), with a favorable CC50 value of ≥100 mg/L and no detectable resistance even after 50th serial passage. It demonstrated fast concentration-dependent bactericidal action as determined via time-kill analysis and also retained full potency against polymyxin B-resistant E. coli, indicating distinct mode of action. SVAP9I targeted E. coli's outer and inner membranes by binding to LPS and phospholipids such as cardiolipin and phosphatidylglycerol. Membrane damage resulted in ROS generation, depleted intracellular ATP concentration and a concomitant increase in extracellular ATP. Checkerboard assays showed SVAP9I's synergism with narrow-spectrum antibiotics like vancomycin, fusidic acid and rifampicin, potentiating their efficacy against MDR-GNB pathogens, including carbapenem-resistant Acinetobacter baumannii (CRAB), a WHO critical priority pathogen. In a murine neutropenic thigh infection model, SVAP9I and rifampicin synergized to express excellent antibacterial efficacy against MDR-CRAB outcompeting polymyxin B. Taken together, SVAP9I's distinct membrane-targeting broad-spectrum action, lack of resistance and strong in vitro andin vivopotency in synergism with narrow spectrum antibiotics like rifampicin suggests its potential as a novel antibiotic adjuvant for the treatment of serious MDR-GNB infections.

Mint species are grown worldwide and known for their medicinal and aromatic properties however, studies on its energy assessment are very scarce. This study quantifies the energy input–output relationship of herbs and essential oil production of different mint species (M. arvensis, M. piperita, M. spicata, M. cardiaca and M. citrata) which were commercially grown in subtropical India. This study proposes for life cycle assessment and their effects on environment. The energy inputs and outputs were significantly varied with mints species. Results showed that mints essential oil production used more energy than herbs, and M. citrata utilizes the highest energy in both cases. Fire wood requirements for essential oil extraction accounts maximum (59.16 %) energy input. Mint herbs and essential oil yields were recorded higher in M. citrata (23.14 t ha−1), and M. arvensis (143.2 kg ha−1), respectively. Energy yields were estimated highest in M. cardiaca (herbs), and M. arvensis (essential oils), and required net calorific values were tested by automated advanced oxygen bomb calorimeter. Overall, M. arvensis showed the best results in energy production (0.07 kg MJ−1), profitability (0.27), net return (17156.40 MJ ha−1), and energy use efficacy (1.27) for mint herbs production. However, for essential oil production M. cardiaca performed well. This study revealed that mint herbs production was more energy efficient than essential oils extraction although essential oil production is fiscally secure.

Collagen VI-related dystrophies (COL6-RDs) are a group of severe, congenital-onset muscular dystrophies for which there is no effective causative treatment. Dominant-negative mutations are common in COL6A1, COL6A2, and COL6A3 genes, encoding the collagen α1, α2, and α3 (VI) chains. They act by incorporating into the hierarchical assembly of the three α (VI) chains and consequently produce a dysfunctional collagen VI extracellular matrix, while haploinsufficiency for any of the COL6 genes is not associated with disease. Hence, allele-specific transcript inactivation is a valid therapeutic strategy, although selectively targeting a pathogenic single nucleotide variant is challenging. Here, we develop a small interfering RNA (siRNA) that robustly, and in an allele-specific manner, silences a common glycine substitution (G293R) caused by a single nucleotide change in COL6A1 gene. By intentionally introducing an additional mismatch into the siRNA design, we achieved enhanced specificity toward the mutant allele. Treatment of patient-derived fibroblasts effectively reduced the levels of mutant transcripts while maintaining unaltered wild-type transcript levels, rescuing the secretion and assembly of collagen VI matrix by reducing the dominant-negative effect of mutant chains. Our findings establish a promising treatment approach for patients with the recurrent dominantly negative acting G293R glycine substitution.

This study presents a comprehensive investigation into chemical composition, antibacterial activity and molecular interactions of phytocompounds present in Eucalyptus globulus leaf extracts. Gas chromatography-mass spectroscopy analysis was employed to identify and quantify the bioactive compounds present in the extracts. The major phytocompounds are found to be 1,8- cineole, α-pinene and α-guaiene. The antibacterial potential of extracts was evaluated against gram-positive and negative strains using agar well-diffusion assay. The methanolic extract showed more antibacterial activity for Staphylococcus aureus and Escherichia coli strains having inhibition zone of 17.6 ± 0.94 and 21.3 ± 0.47 mm respectively when compared to petroleum ether extracts having zone of inhibition of 13 ± 0.81 and 17.3 ± 0.47 mm respectively for Staphylococcus aureus and Escherichia coli strains. Molecular docking studies provided insights into binding modes and interaction between phytocompounds and bacterial targets. The results shed light on the potential mechanisms of antibacterial action, enhancing our understanding of efficacy of phytocompounds. The ADMET and toxicity studies further validates the phytocompounds as promising candidates for further exploration and development of novel antibacterial agents.

ABSTRACT An interaction between human papillomavirus 16 (HPV16) E2 and the cellular proteins TopBP1 and BRD4 is required for E2 plasmid segregation function. The E2-TopBP1 interaction promotes increased mitotic E2 protein levels in U2OS and N/Tert-1 cells, as well as in human foreskin keratinocytes immortalized by HPV16 (HFK + HPV16). SIRT1 deacetylation reduces E2 protein stability and here we demonstrate that increased E2 acetylation occurs during mitosis in a TopBP1 interacting-dependent manner, promoting E2 mitotic stabilization. p300 mediates E2 acetylation and acetylation is increased due to E2 switching off SIRT1 function during mitosis in a TopBP1 interacting-dependent manner, confirmed by increased p53 stability and acetylation on lysine 382, a known target for SIRT1 deacetylation. SIRT1 can complex with E2 in growing cells but is unable to do so during mitosis due to the E2-TopBP1 interaction; SIRT1 is also unable to complex with p53 in mitotic E2 wild-type cells but can complex with p53 outside of mitosis. E2 lysines 111 and 112 are highly conserved residues across all E2 proteins and we demonstrate that K111 hyper-acetylation occurs during mitosis, promoting E2 interaction with Topoisomerase 1 (Top1). We demonstrate that K112 ubiquitination promotes E2 proteasomal degradation during mitosis. E2-TopBP1 interaction promotes mitotic acetylation of CHK2, promoting phosphorylation and activation of the DNA damage response (DDR). The results present a new model in which the E2-TopBP1 complex inactivates SIRT1 during mitosis, and activates the DDR. This is a novel mechanism of HPV16 activation of the DDR, a requirement for the viral life cycle.IMPORTANCEHuman papillomaviruses (HPVs) are causative agents in around 5% of all human cancers. While there are prophylactic vaccines that will significantly alleviate HPV disease burden on future generations, there are currently no anti-viral strategies available for the treatment of HPV cancers. To generate such reagents, we must understand more about the HPV life cycle, and in particular about viral-host interactions. Here, we describe a novel mitotic complex generated by the HPV16 E2 protein interacting with the host protein TopBP1 that controls the function of the deacetylase SIRT1. The E2-TopBP1 interaction disrupts SIRT1 function during mitosis in order to enhance acetylation and stability of viral and host proteins. We also demonstrate that the E2-TopBP1 interaction activates the DDR. This novel complex is essential for the HPV16 life cycle and represents a novel anti-viral therapeutic target.

The development and deployment of the next generation of wind energy systems calls for simulation tools that model the entire wind farm while balancing accuracy and computational cost. A full-system wind farm simulation must consider the atmospheric inflow, the wakes and consequent response of the multiple turbines, and the implementation of the appropriate farm-collective control strategies that optimize the entire wind farm’s output. In this article, we present a novel vortex lattice model that enables the effective representation of the complex vortex wake dynamics of the turbines in a farm subject to transient inflow conditions. This work extends the capabilities of our multi-physics suite, CODEF, to include the capability to simulate the wakes and the high-fidelity aeroelastic response of multiple turbines in a wind farm. Herein, we compare the results of our GVLM technique with the LiDAR measurements obtained at Sandia National Laboratories’ SWiFT facility. The comparison shows remarkable similarities between the simulation and field measurements of the wake velocity. These similarities demonstrate our model’s capabilities in capturing the entire wake of a wind turbine at a significantly reduced computational cost as compared to other techniques.

Abstract Purpose Epistasis, the interaction between two or more genes, is integral to the study of genetics and is present throughout nature. Yet, it is seldom fully explored as most approaches primarily focus on single-locus effects, partly because analyzing all pairwise and higher-order interactions requires significant computational resources. Furthermore, existing methods for epistasis detection only consider a Cartesian (multiplicative) model for interaction terms. This is likely limiting as epistatic interactions can evolve to produce varied relationships between genetic loci, some complex and not linearly separable. Methods We present new algorithms for the interaction coefficients for standard regression models for epistasis that permit many varied models for the interaction terms for loci and efficient memory usage. The algorithms are given for two-way and three-way epistasis and may be generalized to higher order epistasis. Statistical tests for the interaction coefficients are also provided. We also present an efficient matrix based algorithm for permutation testing for two-way epistasis. We offer a proof and experimental evidence that methods that look for epistasis only at loci that have main effects may not be justified. Given the computational efficiency of the algorithm, we applied the method to a rat data set and mouse data set, with at least 10,000 loci and 1,000 samples each, using the standard Cartesian model and the XOR model to explore body mass index. Results This study reveals that although many of the loci found to exhibit significant statistical epistasis overlap between models in rats, the pairs are mostly distinct. Further, the XOR model found greater evidence for statistical epistasis in many more pairs of loci in both data sets with almost all significant epistasis in mice identified using XOR. In the rat data set, loci involved in epistasis under the XOR model are enriched for biologically relevant pathways. Conclusion Our results in both species show that many biologically relevant epistatic relationships would have been undetected if only one interaction model was applied, providing evidence that varied interaction models should be implemented to explore epistatic interactions that occur in living systems.

Abstract The growing usage of digital platforms has made influencer marketing the most cost-effective marketing tool, especially for products consumed by young digital natives. Among other products, these include fashion and beauty-related items such as cosmetics, whose online marketing has created a particular category of influencers called ‘beauty vloggers.’ By applying the source credibility model, this study investigates whether beauty vloggers’ credible attributes (trustworthiness, expertise, and attractiveness) help consumers build trust towards them and whether followers’ trust leads to desirable marketing outcomes (increased purchase intention). Prior literature used the source credibility model in a fragmented manner. However, this study enhances the holistic framework of social media influencers’ impact on purchase intention by investigating all three credible attributes. It specifically addresses the significance of cultivating trust between beauty vloggers and followers, exploring the impact of vloggers’ credible attributes on consumer purchase intention. Additionally, beauty vloggers periodically engage in parasocial interactions to increase closeness with their audiences, affecting consumer behaviour. This study addresses the limited research on the consequences of parasocial interactions in an emerging market context, examining the impact of beauty vloggers’ repeated interactions on consumer behaviour, contributing to a comprehensive understanding of purchase intention using parasocial interaction as an antecedent. The research was conducted on consumers belonging to the age group of 16–45 who use social media platforms daily. Using structural equation modelling via SmartPLS software, the statistical analysis was done on 357 North Indian respondents. The study explores the influence of beauty vloggers on consumers’ purchasing behaviour in the Indian context. The results demonstrate that beauty vloggers’ credibility traits help in influencing consumer behaviour. The findings also revealed that trust partially mediates the impact of credible attributes of beauty vloggers and consumers’ purchase intention. Additionally, the results show that customers’ purchasing decisions might be influenced by repeated parasocial interactions done by beauty vloggers if they perceive them as credible information sources. The findings of the study contribute to help industrial marketers and practitioners of cosmetic companies use influencer marketing strategically in order to increase market sales.

Abstract Organisms must regulate their behavior flexibly in the face of environmental challenges. Failure can lead to a host of maladaptive behavioral traits associated with a range of neuropsychiatric disorders, including attention deficit hyperactivity disorder, autism, and substance use disorders. This maladaptive dysregulation of behavior is influenced by genetic and environmental factors. For example, environmental enrichment produces beneficial neurobehavioral effects in animal models of such disorders. The present study determined the effects of environmental enrichment on a range of measures related to behavioral regulation using a large cohort of male, outbred heterogeneous stock (HS) rats as subjects. Subjects were reared from late adolescence onwards either in pairs in standard housing with minimal enrichment (n = 200) or in groups of 16 in a highly enriched environment consisting of a large multi-level cage filled with toys, running wheels, and shelters (n = 64). Rats were subjected to a battery of tests, including: (i) locomotor response to novelty, (ii) light reinforcement, (iii) social reinforcement, (iv) reaction time, (v) a patch-depletion foraging test, (vi) Pavlovian conditioned approach, (vii) conditioned reinforcement, and (viii) cocaine conditioned cue preference. Results indicated that rats housed in the enriched environment were able to filter out irrelevant stimuli more effectively and thereby regulate their behavior more efficiently than standard-housing rats. The dramatic impact of environmental enrichment suggests that behavioral studies using standard housing conditions may not generalize to more complex environments that may be more ethologically relevant.

Aging populations pose significant challenges for transportation safety at complex intersections. This study investigated gap acceptance behavior of older drivers at left-turn signalized permissive intersections using a driving simulator with 40 participants (20 older, mean age $77.95~\pm ~5.79$ years; 20 younger, mean age $25.95~\pm ~1.66$ years). Participants experienced varying traffic volume levels, queue length, and pedestrian presence. Physiological responses, such as electrodermal activity (EDA) and heart rate variability (HRV), provided insights into drivers’ internal states during decision-making. The results showed that older drivers required longer gap acceptance times compared to younger drivers. Experimental factors like higher traffic volumes, longer queues, and pedestrian presence significantly impacted gap acceptance and led to more conservative decisions. Additionally, higher EDA levels correlated with longer gaps, indicating stress during decision-making. HRV showed a modest yet significant correlation with gap acceptance in older drivers. This suggests that changes in HRV affected their decision-making process, though the influence was weaker than EDA. Significant interactions between traffic volume and queue length and a three-way interaction with pedestrian presence emphasized the complexity of these decisions. Motion sickness susceptibility was also significantly correlated with gap acceptance. These findings contribute to improving road design and driver assistance systems, promoting safer intersections for older drivers.

Drowsy driving poses a significant risk to road safety, necessitating the development of reliable drowsiness detection systems. In particular, the advancement of Artificial Intelligence based neuroadaptive systems is imperative to effectively mitigate this risk. Towards reaching this goal, the present research focuses on investigating the efficacy of physiological indicators, including heart rate variability (HRV), percentage of eyelid closure over the pupil over time (PERCLOS), blink rate, blink percentage, and electrodermal activity (EDA) signals, in predicting driver drowsiness. The study was conducted with a cohort of 30 participants in controlled simulated driving scenarios, with half driving in a non-monotonous environment and the other half in a monotonous environment. Three deep learning algorithms were employed: sequential neural network (SNN) for HRV, 1D-convolutional neural network (1D-CNN) for EDA, and convolutional recurrent neural network (CRNN) for eye tracking. The HRV-Based Model and EDA-Based Model exhibited strong performance in drowsiness classification, with the HRV model achieving precision, recall, and F1-score of 98.28%, 98%, and 98%, respectively, and the EDA model achieving 96.32%, 96%, and 96% for the same metrics. The confusion matrix further illustrates the model’s performance and highlights high accuracy in both HRV and EDA models, affirming their efficiency in detecting driver drowsiness. However, the Eye-Based Model faced difficulties in identifying drowsiness instances, potentially attributable to dataset imbalances and underrepresentation of specific fatigue states. Despite the challenges, this work significantly contributes to ongoing efforts to improve road safety by laying the foundation for effective real-time neuro-adaptive systems for drowsiness detection and mitigation.

An increase in vehicular traffic and a scarcity of parking spaces are creating significant challenges for urban parking management. This study aims to tackle these issues that escalate congestion and pollution and decrease urban productivity, by utilizing machine learning models to accurately predict parking space availability and categorize occupancy levels. It employs a dataset from a college campus garage collected from January 2022 to June 2023 and analyzes the performance of random forest, decision tree, linear regression, and support vector models by comparing them, using multiple evaluation metrics. The results revealed that the random forest model was the most reliable, as it demonstrated strong performance in both the regression and classification analyses and was adept at estimating the exact number of available parking spaces. A concurrent classification analysis that categorized parking occupancy into different levels proved valuable for enhancing the quality of communication and decision-making. An analysis of the importance of various features clearly highlighted the influence of the day of the week on parking demand and patterns; the impact of seasonality on the volume of parking usage; and the time of day, which plays a crucial role in determining parking behavior. The research will benefit urban planners, facility managers, and policymakers by providing them with insights and tools that will enhance the urban parking experience and address the complex challenges of modern urban environments.

Aim: The authors analyze their published work and update their experience with 374 cases of cervical radiculopathy and/or myelopathy related to spinal degeneration that includes ossification of the posterior longitudinal ligament (OPLL). The role of atlantoaxial and subaxial spinal instability as the nodal point of pathogenesis and focused target of surgical treatment is analyzed. Materials and Methods: During the period from June 2012 to November 2022, 374 patients presented with acute or chronic symptoms related to radiculopathy and/or myelopathy that were attributed to degenerative cervical spondylotic changes or due to OPLL. There were 339 males and 35 females, and their ages ranged from 39 to 77 years (average 62 years). All patients were treated for subaxial spinal stabilization by Camille's transarticular technique with the aim of arthrodesis of the treated segments. Atlantoaxial stabilization was done in 128 cases by adopting direct atlantoaxial fixation in 55 cases or a modified technique of indirect atlantoaxial fixation in 73 patients. Decompression by laminectomy, laminoplasty, corpectomy, discoidectomy, osteophyte resection, or manipulation of OPLL was not done in any case. Standard monitoring parameters, video recordings, and patient self-assessment scores formed the basis of clinical evaluation. Results: During the follow-up period that ranged from 3 to 125 months (average: 59 months), all patients had clinical improvement. Of 130 patients who had clinical evidences of severe myelopathy and were either wheelchair or bed bound, 116 patients walked aided (23 patients), or unaided (93 patients) at the last follow-up. One patient in the series was operated on 24 months after the first surgery by anterior cervical route for “adjacent segment” disc herniation. No other patient in the entire series needed any kind of repeat or additional surgery for persistent, recurrent, increased, or additional related symptoms. None of the screws at any level backed out or broke. There were no implant-related infections. Spontaneous regression of the size of osteophytes was observed in 259 patients where a postoperative imaging was possible after at least 12 months of surgery. Conclusions: Our successful experience with only spinal fixation without any kind of “decompression” identifies the defining role of “instability” in the pathogenesis of spinal degeneration and its related symptoms. OPLL appears to be a secondary manifestation of chronic or longstanding spinal instability.

Abstract By circumventing the resolution limitations of optics, coherent diffractive imaging (CDI) and ptychography are making their way into scientific fields ranging from X-ray imaging to astronomy. Yet, the need for time consuming iterative phase recovery hampers real-time imaging. While supervised deep learning strategies have increased reconstruction speed, they sacrifice image quality. Furthermore, these methods’ demand for extensive labeled training data is experimentally burdensome. Here, we propose an unsupervised physics-informed neural network reconstruction method, PtychoPINN, that retains the factor of 100-to-1000 speedup of deep learning-based reconstruction while improving reconstruction quality by combining the diffraction forward map with real-space constraints from overlapping measurements. In particular, PtychoPINN gains a factor of 4 in linear resolution and an 8 dB improvement in PSNR while also accruing improvements in generalizability and robustness. This blend of performance and computational efficiency offers exciting prospects for high-resolution real-time imaging in high-throughput environments such as X-ray free electron lasers (XFELs) and diffraction-limited light sources.

Abstract Background Despite multiple antibiotics being available to manage dental infections (DI), there is lack of data comparing commonly prescribed antibiotics in India. Objectives The aim of this study was to evaluate the real-world effectiveness and tolerability of cephalexin-clavulanic acid fixed-dose combination (cephalexin CV FDC) in contrast with amoxicillin-clavulanic acid (co-amoxiclav FDC) and cefuroxime among patients with dental infections (odontogenic) in India. Methods This retrospective, multi-centric, observational, real-world electronic medical record (EMR)-based study was conducted between January 2022 and December 2022. The EMRs of 355 adults with DI receiving oral cephalexin CV, co-amoxiclav, or cefuroxime were categorized into two distinct groups: Group I (Test Group) with patients prescribed cephalexin extended release 375/750 mg along with clavulanic acid 125 mg; and Group II (Comparator Group) with patients prescribed co-amoxiclav 625 mg (500 mg amoxicillin + 125 mg clavulanic acid) or cefuroxime (250 mg/500 mg). Results Toothache was the most common complaint, reported by 95.5% of patients, followed by swelling (46.8%), tooth sensitivity (35.5%), pus discharge (33.0%), redness and halitosis (30.4% each). Dental caries was observed in 81.1% of patients. Clinical improvement, defined as improvement/partial resolution of infection-related clinical signs and symptoms (composite measure of pain, swelling, fever, requirement of additional antimicrobial therapy) as per dentists’ judgment, was recorded in 98.3% of patients with cephalexin CV, 96.8% of patients with co-amoxiclav, and 98.9% of patients treated with cefuroxime within 10 days. Time (days) to clinical improvement was numerically lesser among patients receiving cephalexin CV (4.6 ± 2.0) compared with cefuroxime (4.9 ± 2.1) and co-amoxiclav (5.0 ± 2.6). All treatments were well tolerated. Conclusion Cephalexin CV was as effective as co-amoxiclav and cefuroxime, with faster clinical improvement and better resolution of certain symptoms.

Information on the long-term effects of the addition of organics and fertilizers to wheat under the pearl millet–wheat cropping system with semi-arid conditions in north-western India is still lacking. The present research was conducted in an ongoing field experiment initiated during Rabi 1995 at the Research Farm of Chaudhary Charan Singh at Haryana Agricultural University, Hisar. After 25 years, the impacts of nutrient management practices on soil fertility and wheat productivity were evaluated. The experiment comprised a total of eight treatment combinations viz. half and full doses of recommended fertilizers (N and P), organic manures (FYM: farmyard manure, POM: poultry manure, and PRM: press mud) alone and in combination with NP fertilizers. The conjoint application of organic manure and chemical fertilizers resulted in a positive influx of nutrients via increasing total organic carbon (TOC), available N, P, K, and S, which ranged from 0.46 to 1.42%, 122.70 to 194.70, 15.66 to 74.92, 340.5 to 761.2, and 15.26 to 54.63 kg ha−1 in surface soil (0–15 cm), respectively. Carbon fractions and crop yield were significantly improved by adopting integrated nutrient management (INM). The TOC showed a positive and significant correlation with C fractions (r > 0.92) and with soil-available N, P, K, and S (r > 0.77) content. The data also revealed a strong relationship between TOC and soil-available (0–15 cm) nutrients i.e., available N (R2= 0.769), available P (R2 = 0.881), available K (R2 = 0.758), and available S (R2 = 0.914), respectively. Thus, practices that increased TOC were also beneficial in enhancing the availability of the nutrients in the soil. A positive and highly significant correlation was also found among wheat yield, nutrient (NPKS) content, and uptake. A polynomial relationship between grain yield and grain N (R2 = 0.962), P (R2 = 0.946), and K (R2 = 0.967) content, and between straw yield and straw N (R2 = 0.830), P (R2 = 0.541) and K (R2 = 0.976) content was obtained. Integrated use of PRM7.5 followed by FYM15 and POM5 coupled with NP fertilizers proved best, which could be beneficial for obtaining nutritious and highest wheat yield (grain: 6.01 t ha−1 and straw: 7.70 t ha−1) coupled with improved fertility within a sustained manner under the pearl millet–wheat sequence in prevailing semi-arid conditions of the North Indian state of Haryana.

BACKGROUND: Regulations on Graduate Medical Education (Amendment), 2019 (GME) introduced competency-based medical education (CMBE) for undergraduate medical students and were implemented in the 2019 entrance batch in medical colleges all over India. This study aimed to find out the challenges faced by medical teachers in CBME implementation, lessons learned, and the level of preparedness for upcoming batches. MATERIAL AND METHODS: A cross-sectional, multi-centric descriptive study was conducted from November 2021 to February 2022 including first-year faculty of medical colleges. A self-administered questionnaire was provided through electronic media, about challenges faced during CBME implementation and suggestions for improvement. Responses were analyzed as descriptive statistics, and content analysis was conducted for open-ended questions. RESULTS: A total of 50 responses were analyzed. About 46% believed that the foundation course (FC) could satisfy the GME Regulation’s goal to only some extent. About 60% believed that integration was not optimum, and 40% had not taken any integrated session. About 36% had not taken any attitude, ethics and communication (AETCOM) session, and 30% considered that they were not sufficiently competent. About 68% believed that early clinical exposure (ECE) given is insufficient. “Skills” (50%) and “attitude-communication” (34%) could not be satisfactorily assessed. About 72% believed that the coronavirus disease 2019 (COVID-19) pandemic significantly affected academics, 20% are still confused about the complexities of CBME, and 58% believed they are better prepared for the future. The COVID-19 pandemic (78%), lack of proper training (70%), and adequate faculty (60%) were common difficulties. Frequent hands-on workshops (68%) and better inter-departmental coordination (68%) were suggested. CONCLUSION: First professional-year faculties are slowly getting accustomed to the transition from a traditional to a competency-based curriculum. These reforms are complex, and the challenges need to be addressed sincerely and timely.

Abstract Background First‐line nivolumab plus chemotherapy and nivolumab plus ipilimumab both demonstrated significant overall survival (OS) benefit versus chemotherapy in previously untreated patients with advanced esophageal squamous cell carcinoma (ESCC) in the CheckMate 648 trial, leading to approvals of both nivolumab‐containing regimens in many countries. We report longer‐term follow‐up data. Methods This open‐label, phase III trial (NCT03143153) enrolled adults with previously untreated, unresectable, advanced, recurrent, or metastatic ESCC. Patients were randomized 1:1:1 to nivolumab plus chemotherapy, nivolumab plus ipilimumab, or chemotherapy. Primary endpoints were OS and progression‐free survival (PFS) by blinded independent central review. Hierarchical testing was performed first in patients with tumor cell programmed death ligand 1 (PD‐L1) expression of ≥1% and then in the overall population. Results A total of 970 patients were randomly assigned. After 29 months of minimum follow‐up, nivolumab plus chemotherapy continued to demonstrate improvement in OS versus chemotherapy (hazard ratio [HR] = 0.59 [95% CI: 0.46–0.76]) in patients with tumor cell PD‐L1 expression of ≥1% and in the overall population (HR = 0.78 [95% CI: 0.65–0.93]) and with nivolumab plus ipilimumab versus chemotherapy (HR = 0.62 [95% CI: 0.48–0.80]) in patients with tumor cell PD‐L1 expression of ≥1% and in the overall population (HR = 0.77 [95% CI: 0.65–0.92]). In patients with tumor cell PD‐L1 expression of ≥1%, nivolumab plus chemotherapy demonstrated PFS benefit versus chemotherapy (HR = 0.67 [95% CI: 0.51–0.89]); PFS benefit was not observed with nivolumab plus ipilimumab versus chemotherapy (HR = 1.04 [95% CI: 0.79–1.36]). Among all treated patients (n = 936), Grade 3–4 treatment‐related adverse events were reported in 151 (49%, nivolumab plus chemotherapy), 105 (32%, nivolumab plus ipilimumab), and 110 (36%, chemotherapy) patients. Conclusions Nivolumab plus chemotherapy and nivolumab plus ipilimumab continued to demonstrate clinically meaningful OS benefit versus chemotherapy with no new safety signals identified with longer follow‐up, further supporting use as first‐line standard treatment options for patients with advanced ESCC.

IntroductionThe varus and valgus knee deformities result from imbalance in tension between medial and lateral soft tissue compartments. These conditions need to be addressed during total knee arthroplasty (TKA). However, there is no consensus on optimal soft-tissue release techniques for correcting varus and valgus deformities during TKA. We assessed the efficacy of a novel grid-based pie-crusting technique on soft-tissue release.MethodsCadaver knees were dissected, leaving only the femur and tibia connected by an isolated MCL or the femur and fibula connected by an isolated LCL. Bone cuts were made as performed during primary TKA. Mechanical testing was performed using an MTS machine. A 3D-printed 12-hole grid was placed directly over the MCL and LCL. Using an 18-gauge needle, horizontal in-out perforations were made 3 mm apart. Deformation and stiffness of the ligaments were collected after every 2 perforations. Means were calculated, and regression analyses were performed.ResultsA total of 7 MCL and 6 LCL knees were included in our analysis. The mean medial femorotibial (MFT) space increased from 6.018 ± 1.4 mm–7.078 ± 1.414 mm (R2 = 0.937) following 12 perforations. The mean MCL stiffness decreased from 32.15 N/mm–26.57 N/mm (R2 = 0.965). For the LCL group, the mean gap between the femur and fibula increased from 4.287 mm–4.550 mm following 8 perforations. The mean LCL stiffness decreased from 29.955 N/mm–25.851 N/mm. LCL stiffness displayed a strong inverse relationship with the number of holes performed (R2 = 0.988).DiscussionOur results suggest that using this novel grid for pie-crusting of the MCL and LCL allows for gradual lengthening of the ligaments without sacrificing their structural integrity. Our proposed technique may serve as a valuable piece in the soft-tissue release toolkit for orthopaedic surgeons performing TKA in varus and valgus deformed knees.

Electric vehicles (EVs) have the potential to mitigate the severity of significant concerns including environmental pollution and reliance on fossil fuels; however, despite strong governmental promotional efforts, their market penetration is still at the nascent stage. This paper empirically investigates the factors that affect the consumers' intention to adopt EVs by conducting an exhaustive literature review. The initial search resulted in 1,690 publications, but after a thorough exclusion process, 537 articles were deemed relevant and were sorted by source, publication year, country of origin, data collection method, and research domain. The results revealed the influential factors over individuals’ desire to adopt an EV were categorized into four main types (contextual, situational, demographic, and psychological); situational factors, that can act as both barriers and motivators, had the most influencing components. The most cited barriers to adoption of EVs were found to be the lack of charging stations availability and their limited driving range. The most cited motivators to EV adoption were found to be reduction in air pollution and the availability of policy incentives. The findings of this study may guide policymakers in formulating effective transportation and energy policies, as well as provide guidance to those who are responsible for designing EVs that fit the needs and demands of potential consumers.

Natural biomaterials are commonly used as tissue engineering scaffolds due to their biocompatibility and biodegradability. Plant‐derived materials have also gained significant interest due to their abundance and as a sustainable resource. This study evaluates the corn‐derived protein zein as a plant‐derived substitute for animal‐derived gelatin, which is widely used for its favorable cell adhesion properties. Limited studies exist evaluating pure zein for tissue engineering. Herein, fibrous zein scaffolds are evaluated in vitro for cell adhesion, growth, and infiltration into the scaffold in comparison to gelatin scaffolds and are further studied in a subcutaneous model in vivo. Human mesenchymal stem cells (MSCs) on zein scaffolds express focal adhesion kinase and integrins such as α v β 3, α 4, and β 1 similar to gelatin scaffolds. MSCs also infiltrate zein scaffolds with a greater penetration depth than cells on gelatin scaffolds. Cells loaded onto zein scaffolds in vivo show higher cell proliferation and CD31 expression, as an indicator of blood vessel formation. Findings also demonstrate the capability of zein scaffolds to maintain the multipotent capability of MSCs. Overall, findings demonstrate plant‐derived zein may be a suitable alternative to the animal‐derived gelatin and demonstrates zein's potential as a scaffold for tissue engineering.