Seasonal influence on expression of heat shock proteins (HSP70 and HSP90) vis-à-vis functional competence of Gir bull semen.

The success of assisted reproduction relies on functional competence of frozen-thawed semen. Heat stress affects protein folding leading to aggregation of mis-folded proteins. Hence, a total of 384 (32 ejaculates/bull/season) ejaculates from six matured Gir bulls were used to evaluate physico-morphological parameters, the expression of HSPs (70 and 90) and fertility of frozen-thawed semen. The mean percent individual motility, viability and membrane integrity were significantly (p < 0.01) higher in winter compared to summer. Out of 1200 Gir cows inseminated, 626 confirmed pregnant and the mean conception rate of winter (55.04 ± 0.35) was significantly (p < 0.001) higher than summer (49.33 ± 0.32). A significant (p < 0.01) difference in concentration of HSP70 (ng/mg of protein) but not HSP90was observed between the two seasons. The HSP70 expression in pre-freeze semen of Gir bulls had significant positive correlation with motility (p < 0.01, r = 0.463), viability (p < 0.01, r = 0.565), acrosome integrity (p < 0.05, r = 0.330) and conception rate (p < 0.01, r = 0.431). In conclusion, the season influences physico-morphological parameters and expression of HSP70 but not HSP90 in Gir bull semen. The HSP70 expression is positively correlated with motility, viability, acrosome integrity and fertility of semen. The semen expression of HSP70 may be utilized as biomarker for thermo-tolerance, semen quality and fertilizing capacity of Gir bull semen.

Hash and Physical Unclonable Function (PUF)-Based Mutual Authentication Mechanism.

The security of web applications in an enterprise is of paramount importance. To strengthen the security of applications, the identification and mitigation of vulnerabilities through appropriate countermeasures becomes imperative. The Open Web Application Security Project (OWASP) Top 10 API Security Risks, 2023 Edition, indicates the prominent vulnerabilities of API security risks. Broken authentication, however, is placed in second position with level-3 exploitability, level-2 prevalence, level-3 detectability, and level-3 technical impact. To mitigate this vulnerability, many mitigation strategies have been proposed by using the cryptographic primitives wherein two techniques, namely hashing and PUF, are used. Some of the proposals have integrated the concepts of hashing and PUF. However, the unnecessarily lengthy and complex mathematics used in these proposals makes them unsuitable for current API-based application scenarios. Therefore, in this paper, the authors propose a privacy-preserving authentication protocol that incorporates the capability of both mechanisms in an easy and low-complexity manner. In addition to overcoming existing limitations, the proposed protocol is tested to provide more security properties over existing schemes. Analysis of their performance has demonstrated that the proposed solutions are secure, efficient, practical, and effective for API-based web applications in an enterprise environment.

Preparation, characterization, and xenotransplantation of the caprine acellular dermal matrix.

BACKGROUND: Caprine skin is a promising biomaterial for tissue-engineering applications. However, tissue processing is required before its xenogenic use. AIMS: Therefore, the purpose of this study was to evaluate the structural integrity and biocompatibility of the caprine skin after de-epithelialization, using sodium chloride (NaCl) and trypsin solutions, followed by de-cellularization using sodium dodecyl sulfate (SDS) solution. MATERIALS & METHODS: The caprine skin was de-epithelialized using NaCl (2-4 mol/L) and trypsin (0.25%-0.5%) followed by the treatment of SDS (1%-4%) solution over a period of time. Acellularity of the prepared matrix was confirmed histologically and characterized by appropriate staining, scanning electron microscopy (SEM), DNA quantification, and Fourier-transform infrared (FTIR) spectroscopy. The caprine acellular dermal matrix (CADM) was used for the repair of spontaneously occurring abdominal hernia in ten buffaloes. The biocompatibility of the CADM was evaluated using clinical, hematological, biochemical, and anti-oxidant parameters. RESULTS: Histologically, the skin treated with 0.25% trypsin in 4 mol/L NaCl for 8 hours resulted in complete de-epithelialization. Further treatment with 2% SDS for 48 hours demonstrated complete acellularity and orderly arranged collagen fibers. The SEM confirmed a preservation of collagen arrangement within CADM. The DNA content was significantly (P < .05) lower in CADM (46.20 ± 7.94 ng/mg) as compared to fresh skin (662.56 ± 156.11 ng/mg) indicating effective acellularity. The FTIR spectra showed characteristic collagen peaks of amide A, amide B, amide I, amide II, and amide III in CADM. All the 10 animals recovered uneventfully and remained sound. Hematological, biochemical, and anti-oxidants findings were unremarkable. CONCLUSION: Results indicated the acceptance and biocompatibility of the xenogenic caprine acellular dermal matrix for abdominal hernia repair in buffaloes without complications.

Elucidating mechanistic insights into drug action for atopic dermatitis: a systems biology approach.

BACKGROUND: Topical Betamethasone (BM) and Pimecrolimus (PC) are widely used drugs in the treatment of atopic dermatitis (AD). Though the biomolecules and biological pathways affected by the drugs are known, the causal inter-relationships among these pathways in the context of skin is not available. We aim to derive this insight by using transcriptomic data of AD skin samples treated with BM and PC using systems biology approach. METHODS: Transcriptomic datasets of 10 AD patients treated with Betamethasone and Pimecrolimus were obtained from GEO datasets. We used a novel computational platform, eSkIN ( www.persistent.com/eskin ), to perform pathway enrichment analysis for the given datasets. eSkIN consists of 35 skin specific pathways, thus allowing skin-centric analysis of transcriptomic data. Fisher's exact test was used to compute the significance of the pathway enrichment. The enriched pathways were further analyzed to gain mechanistic insights into the action of these drugs. RESULTS: Our analysis highlighted the molecular details of the mechanism of action of the drugs and corroborated the known facts about these drugs i.e. BM is more effective in triggering anti-inflammatory response but also causes more adverse effect on skin barrier than PC. In particular, eSkIN helped enunciate the biological pathways activated by these drugs to trigger anti-inflammatory response and its effect on skin barrier. BM suppresses pathways like TNF and TLRs, thus inhibiting NF-κB while PC targets inflammatory genes like IL13 and IL6 via known calcineurin-NFAT pathway. Furthermore, we show that the reduced skin barrier function by BM is due to the suppression of activators like AP1 transcription factors, CEBPs. CONCLUSION: We thus demonstrate the detailed mechanistic insight into drug action of AD using a novel computational approach.

Analysis of heterogeneous gallstones using laser-induced breakdown spectroscopy (LIBS) and wavelength dispersive X-ray fluorescence (WD-XRF).

Laser-induced breakdown spectroscopy (LIBS) is an emerging analytical technique with numerous advantages such as rapidity, multi-elemental analysis, no specific sample preparation requirements, non-destructiveness, and versatility. It has been proven to be a robust elemental analysis tool attracting interest because of being applied to a wide range of materials including biomaterials. In this paper, we have performed spectroscopic studies on gallstones which are heterogeneous in nature using LIBS and wavelength dispersive X-ray fluorescence (WD-XRF) techniques. It has been observed that the presence and relative concentrations of trace elements in different kind of gallstones (cholesterol and pigment gallstones) can easily be determined using LIBS technique. From the experiments carried out on gallstones for trace elemental mapping and detection, it was found that LIBS is a robust tool for such biomedical applications. The stone samples studied in the present paper were classified using the Fourier transform infrared (FTIR) spectroscopy. WD-XRF spectroscopy has been applied for the qualitative and quantitative analysis of major and trace elements present in the gallstone which was compared with the LIBS data. The results obtained in the present paper show interesting prospects for LIBS and WD-XRF to study cholelithiasis better.

Engineering of the function of diamond-like carbon binding peptides through structural design.

The use of phage display to select material-specific peptides provides a general route towards modification and functionalization of surfaces and interfaces. However, a rational structural engineering of the peptides for optimal affinity is typically not feasible because of insufficient structure-function understanding. Here, we investigate the influence of multivalency of diamond-like carbon (DLC) binding peptides on binding characteristics. We show that facile linking of peptides together using different lengths of spacers and multivalency leads to a tuning of affinity and kinetics. Notably, increased length of spacers in divalent systems led to significantly increased affinities. Making multimers influenced also kinetic aspects of surface competition. Additionally, the multivalent peptides were applied as surface functionalization components for a colloidal form of DLC. The work suggests the use of a set of linking systems to screen parameters for functional optimization of selected material-specific peptides.

Importance of laser-induced breakdown spectroscopy for hard tissues (bone, teeth) and other calcified tissue materials.

Laser-induced breakdown spectroscopy (LIBS) as a sensitive optical technique capable of fast multielemental analysis proved to be a versatile tool in different applications. It became visible in the analytical atomic spectroscopy scene in the late 1980s and since then, its applications having been developed continuously in different field of science and technology including biomedical science. Here, we review the use and importance of LIBS for trace element determination in different calcified tissue materials. In this article, we have also reported a comprehensive review of the recent progress of biomedical applications of LIBS.

ChatGPT and Vaccine Hesitancy: A Comparison of English, Spanish, and French Responses Using a Validated Scale.

ChatGPT is a popular information system (over 1 billion visits in August 2023) that can generate natural language responses to user queries. It is important to study the quality and equity of its responses on health-related topics, such as vaccination, as they may influence public health decision-making. We use the Vaccine Hesitancy Scale (VHS) proposed by Shapiro et al.1 to measure the hesitancy of ChatGPT responses in English, Spanish, and French. We find that: (a) ChatGPT responses indicate less hesitancy than those reported for human respondents in past literature; (b) ChatGPT responses vary significantly across languages, with English responses being the most hesitant on average and Spanish being the least; (c) ChatGPT responses are largely consistent across different model parameters but show some variations across the scale factors (vaccine competency, risk). Results have implications for researchers interested in evaluating and improving the quality and equity of health-related web information.

Limbal stem cell deficiency: Demography, aetiology, and clinical presentation in Eastern India.

Aims: To determine demographic details, clinical profile, and underlying causes of limbal stem cell deficiency. Settings and Design: Descriptive cross-sectional study. Methods and Material: Patients visiting tertiary referral hospitals between January 2019 and December 2022 who satisfy the criteria for labeling limbal stem cell deficiency (LSCD) were enrolled. Parameters such as age, gender, region, duration, aetiology, and clinical features were noted. Descriptive statistics was applied. The student t-test was used. Results: A total of 731 eyes of 489 patients with LSCD were included in our study, with age ranging from 5 to 85 years (35.0 ± 19.4 years). The most common presenting complaints were a decrease in vision 473 (96.7%), most of them 342 (69.7%) are having history of gradual progression (>3 months), and 245 (50.1%) have bilateral involvement of eyes. Average corneal clarity was found to be grade 1.6 ± 1.2 and average corneal superficial neovascularization was found to be 7.9 ± 4.3 quadrants. Clinically, we found LSCD of about up to 90° in 57 eyes, 90 to 180° in 71 eyes, 215 eyes with 180 to 270°, and the rest of 388 eyes were having more than 270° of LSCD involvement. Out of 489 patients, 142 (29.0%) patients were of chemical injury, 125 (25.6%) patients were of Steven Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN), followed by 61 (12.5%) patients of vernal keratoconjunctivitis (VKC). Conclusions: The majority of patients were young males presented with more than 270° LSCD and vision <2/60. In our study, chemical injury was most common in unilateral LSCD and SJS/TEN in bilateral LSCD.

Complications of Percutaneous Nephrolithotomy: Experience From a Tertiary Care Center.

Introduction Renal stones are mineral concretions in the pelvicalyceal system. Their prevalence and recurrence are increasing globally. Percutaneous nephrolithotomy (PCNL) is a minimally invasive procedure for the removal of kidney stones. It is a safer technique offering the highest stone-free rates. However, a few complications may still occur. We aimed to evaluate our experiences of PCNL and classify the complications as intraoperative, early postoperative, and late postoperative events. We also aimed to find the predictors of complications in PCNL. Methods A single-center prospective observational study was conducted from June 2021 to October 2022 where all patients who were >18 years old with radiopaque calculus in the kidney and underwent PCNL were included. Statistical analysis was performed using the IBM Statistical Package for Social Sciences (SPSS) software (IBM SPSS Statistics, Armonk, NY). A p-value of <0.05 was considered significant. Results Two hundred one patients including 137 males and 64 females participated in the study. The overall rate of complications was 21.9%. Most of the patients (16.4%) experienced minor complications of Clavien grades 1 and 2. A Clavien grade of >3 included major complications and was noted in 5.5% of patients. No mortality was seen in the postoperative period. Female patients (p = 0.028), a stone burden of >3 cm (p = 0.003), stones in multiple calyces (p = 0.001), hydronephrosis (p = 0.001), history of recently treated urinary tract infection (UTI) (p < 0.001), longer operative time (>91 minutes) (p < 0.001), Guy's stone scores (GSS) III and IV (p < 0.001), complex renal calculi (staghorn) (p = 0.002), and multiple punctures (p = 0.001) were associated with higher complication rates after PCNL. Conclusion Most PCNL-related complications are minor and resolve with conservative or minimally invasive management. However, there are certain complications that can limit the surgical outcome. The overall complication rate in the current study is similar to that reported in the literature. Bleeding was the most common intraoperative complication, whereas hematuria was the most common early postoperative complication. A stone burden of >3 cm, hydronephrosis, longer operative time, higher GSS, and multiple punctures can all affect the rate of complications.

Ensuring Accuracy and Equity in Vaccination Information From ChatGPT and CDC: Mixed-Methods Cross-Language Evaluation.

BACKGROUND: In the digital age, large language models (LLMs) like ChatGPT have emerged as important sources of health care information. Their interactive capabilities offer promise for enhancing health access, particularly for groups facing traditional barriers such as insurance and language constraints. Despite their growing public health use, with millions of medical queries processed weekly, the quality of LLM-provided information remains inconsistent. Previous studies have predominantly assessed ChatGPT's English responses, overlooking the needs of non-English speakers in the United States. This study addresses this gap by evaluating the quality and linguistic parity of vaccination information from ChatGPT and the Centers for Disease Control and Prevention (CDC), emphasizing health equity. OBJECTIVE: This study aims to assess the quality and language equity of vaccination information provided by ChatGPT and the CDC in English and Spanish. It highlights the critical need for cross-language evaluation to ensure equitable health information access for all linguistic groups. METHODS: We conducted a comparative analysis of ChatGPT's and CDC's responses to frequently asked vaccination-related questions in both languages. The evaluation encompassed quantitative and qualitative assessments of accuracy, readability, and understandability. Accuracy was gauged by the perceived level of misinformation; readability, by the Flesch-Kincaid grade level and readability score; and understandability, by items from the National Institutes of Health's Patient Education Materials Assessment Tool (PEMAT) instrument. RESULTS: The study found that both ChatGPT and CDC provided mostly accurate and understandable (eg, scores over 95 out of 100) responses. However, Flesch-Kincaid grade levels often exceeded the American Medical Association's recommended levels, particularly in English (eg, average grade level in English for ChatGPT=12.84, Spanish=7.93, recommended=6). CDC responses outperformed ChatGPT in readability across both languages. Notably, some Spanish responses appeared to be direct translations from English, leading to unnatural phrasing. The findings underscore the potential and challenges of using ChatGPT for health care access. CONCLUSIONS: ChatGPT holds potential as a health information resource but requires improvements in readability and linguistic equity to be truly effective for diverse populations. Crucially, the default user experience with ChatGPT, typically encountered by those without advanced language and prompting skills, can significantly shape health perceptions. This is vital from a public health standpoint, as the majority of users will interact with LLMs in their most accessible form. Ensuring that default responses are accurate, understandable, and equitable is imperative for fostering informed health decisions across diverse communities.

Evaluation of Fibroblast Growth Factor Receptor 3 (FGFR3) and Tumor Protein P53 (TP53) as Independent Prognostic Biomarkers in High-Grade Non-muscle Invasive Bladder Cancer.

Introduction Bladder cancer is a significant health issue with an increased recurrence and progression rate, requiring invasive follow-up, which shows a poor prognosis. In addition, the prognostic role of mutant fibroblast growth factor receptor 3 (FGFR3) and tumor protein P53 (TP53) is controversial; therefore, we investigated the methylation status and their altered gene expression in low- and high-grade non-muscle-invasive bladder cancer (NMIBC) subjects. Materials and methods This case-control study was conducted between 2020 and 2023, in which n = 115 tumor tissues (NMIBC n = 85) and (controls n = 30) were examined for FGFR3 and FGFR promoter methylation and expression using methylation-specific PCR (MSP) and real-time PCR. The multivariate regression analysis and Kaplan-Meier (KM) plots were used to establish the association of FGFR3 and TP53 with clinicopathological features and survival outcomes of NMIBC patients. Results High-grade NMIBC tumors showed substantial methylation patterns, with TP53 hypomethylated (p = 0.034) and FGFR3 hypermethylated (p = 0.046), as well as significant mRNA expression of Tp53 and FGFR3 (p = 0.001). The multivariate analysis shows FGFR3 and Tp53 were associated with recurrence-free survival with sensitivity (p = 0.045 (78%); 0.034 (70.7%)) and progression-free survival (p = 0.022(61.5%); 0.038 (69.2%)).  Conclusion The findings of this investigation indicate that FGFR3 hypermethylation and TP53 hypomethylation are independent prognostic indicators that aid in the evaluation of disease outcomes in high-grade NMIBC tumors.

Quantitative analysis of human hairs and nails.

Hair and nails are human biomarkers capable of providing a continuous assessment of the concentrations of elements inside the human body to indicate the nutritional status, metabolic changes, and the pathogenesis of various human diseases. Laser-induced breakdown spectroscopy (LIBS) and X-ray fluorescence (XRF) spectrometry are robust and multi-element analytical techniques able to analyze biological samples of various kinds for disease diagnosis. The primary objective of this review article is to focus on the major developments and advances in LIBS and XRF for the elemental analysis of hair and nails over the last 10-year period. The developments in the qualitative and quantitative analyses of human hair and nail samples are discussed in detail, with special emphasis on the key aspects of elemental imaging and distribution of essential and non-essential elements within the hair and nail tissue samples. Microchemical imaging applications by LIBS and XRF (including micro-XRF and scanning electron microscopy, SEM) are also presented for healthy as well as diseased tissue hair and nail samples in the context of disease diagnosis. In addition, main challenges, prospects, and complementarities of LIBS and XRF toward analyzing human hair and nails for disease diagnosis are also thoroughly discussed here.

Real-time assessment of black carbon pollution in Indian households due to traditional and improved biomass cookstoves.

Use of improved (biomass) cookstoves (ICs) has been widely proposed as a Black Carbon (BC) mitigation measure with significant climate and health benefits. ICs encompass a range of technologies, including natural draft (ND) stoves, which feature structural modifications to enhance air flow, and forced draft (FD) stoves, which additionally employ an external fan to force air into the combustion chamber. We present here, under Project Surya, the first real-time in situ Black Carbon (BC) concentration measurements from five commercial ICs and a traditional (mud) cookstove for comparison. These experiments reveal four significant findings about the tested stoves. First, FD stoves emerge as the superior IC technology, reducing plume zone BC concentration by a factor of 4 (compared to 1.5 for ND). Indoor cooking-time BC concentrations, which varied from 50 to 1000 µg m(-3) for the traditional mud cookstove, were reduced to 5-100 µg m(-3) by the top-performing FD stove. Second, BC reductions from IC models in the same technology category vary significantly: for example, some ND models occasionally emit more BC than a traditional cookstove. Within the ND class, only microgasification stoves were effective in reducing BC. Third, BC concentration varies significantly for repeated cooking cycles with same stove (standard deviation up to 50% of mean concentration) even in a standardized setup, highlighting inherent uncertainties in cookstove performance. Fourth, use of mixed fuel (reflective of local practices) increases plume zone BC concentration (compared to hardwood) by a factor of 2 to 3 across ICs.

Fairness in Mobile Phone-Based Mental Health Assessment Algorithms: Exploratory Study.

BACKGROUND: Approximately 1 in 5 American adults experience mental illness every year. Thus, mobile phone-based mental health prediction apps that use phone data and artificial intelligence techniques for mental health assessment have become increasingly important and are being rapidly developed. At the same time, multiple artificial intelligence-related technologies (eg, face recognition and search results) have recently been reported to be biased regarding age, gender, and race. This study moves this discussion to a new domain: phone-based mental health assessment algorithms. It is important to ensure that such algorithms do not contribute to gender disparities through biased predictions across gender groups. OBJECTIVE: This research aimed to analyze the susceptibility of multiple commonly used machine learning approaches for gender bias in mobile mental health assessment and explore the use of an algorithmic disparate impact remover (DIR) approach to reduce bias levels while maintaining high accuracy. METHODS: First, we performed preprocessing and model training using the data set (N=55) obtained from a previous study. Accuracy levels and differences in accuracy across genders were computed using 5 different machine learning models. We selected the random forest model, which yielded the highest accuracy, for a more detailed audit and computed multiple metrics that are commonly used for fairness in the machine learning literature. Finally, we applied the DIR approach to reduce bias in the mental health assessment algorithm. RESULTS: The highest observed accuracy for the mental health assessment was 78.57%. Although this accuracy level raises optimism, the audit based on gender revealed that the performance of the algorithm was statistically significantly different between the male and female groups (eg, difference in accuracy across genders was 15.85%; P<.001). Similar trends were obtained for other fairness metrics. This disparity in performance was found to reduce significantly after the application of the DIR approach by adapting the data used for modeling (eg, the difference in accuracy across genders was 1.66%, and the reduction is statistically significant with P<.001). CONCLUSIONS: This study grounds the need for algorithmic auditing in phone-based mental health assessment algorithms and the use of gender as a protected attribute to study fairness in such settings. Such audits and remedial steps are the building blocks for the widespread adoption of fair and accurate mental health assessment algorithms in the future.

Two-Step Partial Least Squares-Discriminant Analysis Modeling for Accurate Classification of Edible Sea Salt Products Using Laser-Induced Breakdown Spectroscopy.

Laser-induced breakdown spectroscopy (LIBS) has been widely applied to material classification in various fields, and partial least squares-discriminant analysis (PLS-DA) is one of the frequently used classical multivariate statistics to construct classification models based on the LIBS spectra. However, classification accuracy of the PLS-DA model is sensitive to the number of classes and their similarities. Considering this characteristic of PLS-DA, we suggest a two-step PLS-DA modeling approach to improve the classification accuracy. This strategy was demonstrated for a six-class problem in which six commercial edible sea salts produced in Japan, South Korea, and France are classified using their LIBS spectra. At the first step, test spectra were sorted into four classes and one extended class, composed of the two other most confusing classes, and then the test spectra in the extended class were further classified into each of the two constituent classes which were modeled separately from the other four classes. This two-step classification has been found to remarkably improve the PLS-DA classification accuracy by maximizing the difference between the confusing classes in the second-step modeling.

Genetic Analysis for Resistance to Sclerotinia Stem Rot, Yield and Its Component Traits in Indian Mustard [Brassica juncea (L.) Czern & Coss.].

Understanding the mode of gene action that controls seed yield and Sclerotinia stem rot resistance in Indian mustard is critical for boosting yield potential. In a line × tester mating design, ten susceptible lines and four resistant testers were used to conduct genetic analysis. The significance of general combining ability (GCA) and specific combining ability (SCA) variances revealed that both additive and non-additive gene actions were involved in the inheritance of Sclerotinia stem rot resistance and yield attributing traits. In addition to 1000-seed weight and number of primary and secondary branches/plant, the genotypes RH 1569 (line) and DRMR 2035 (tester) appeared to be the strongest general combiners for Sclerotinia stem rot resistance. RH 1657 × EC 597317 was the only cross among several that demonstrated a significant desired SCA value for Sclerotinia rot resistance. Regarding SCA effects for yield and component traits, the cross RH 1658 × EC 597328 performed best, with a non-significant but acceptable negative SCA effect for resistance. DRMR 2035, RH 1222-28, RH 1569, RH 1599-41, RH 1657, RH 1658, and EC 597328 are promising genotypes to use as parents in future heterosis breeding and for obtaining populations with high yield potential and greater resistance to Sclerotinia stem rot disease in Indian mustard, based on GCA effects of parents, per se performance, and SCA effects of hybrids. Days to 50% flowering, number of primary branches/plant, main shoot length, and 1000-seed weight all had a high genotypic coefficient of variability (GCV), broad-sense heritability (h2bs), and genetic advance as percent of the mean (GAM) values, as well as significant and desirable correlations and direct effects on seed yield. As a result, these traits have been recognized as the most critical selection criterion for Indian mustard breeding programs.

Potential of laser-induced breakdown spectroscopy for the rapid identification of carious teeth.

The importance of laser-induced breakdown spectroscopy (LIBS) for the rapid identification of teeth affected by caries has been demonstrated. The major and minor elemental constituents of teeth samples were analyzed using the prominent transitions of the atomic lines present in the sample. The elements detected in the tooth sample were: calcium, magnesium, copper, zinc, strontium, titanium, carbon, phosphorous, hydrogen, oxygen, sodium, and potassium. The results revealed that the caries-affected part contained a less amount of calcium and phosphorous in comparison to the healthy part of the tooth sample, whereas higher content of magnesium, copper, zinc, strontium, carbon, sodium, and potassium were present in the caries-affected part. For the first time, we have observed that hydrogen and oxygen were less in healthy parts compared to the caries-affected part of the tooth sample. The density of calcium and phosphorous, which are the main matrix of teeth, was less in the caries-affected part than in the healthy part. The variation in densities of the trace constituents like magnesium and carbon, etc., in caries and healthy parts of the tooth sample are also discussed. The presence of different metal elements in healthy and caries-affected parts of the tooth samples and the possible role of different metal elements in the formation of caries have been discussed.

"COVID19 is_": The Perpetuation of Coronavirus Conspiracy Theories via Google Autocomplete.

As the impact of the COVID-19 pandemic grew in 2020, uncertainty surrounding its origins and nature led to widespread conspiracy-related theories (CRT). Use of technological platforms enabled the rapid and exponential dissemination of COVID-19 CRT. This study applies social contagion theory to examine how Google Autocomplete (GA) propagates and perpetuates these CRT. An in-house software program, Autocomplete Search Logging Tool (ASLT) captured a snapshot of GA COVID-19 related searches early in the pandemic (from March to May 2020) across 76 randomly-selected countries to gain insight into search behaviors around the world. Analysis identified 15 keywords relating to COVID-19 CRT predictions and demonstrate how searches across different countries received varying degrees of GA predictions. When grouped with similar keywords, two major categories were identified "Man-Made Biological Weapon" (42%, n = 2,111), and "Questioning Reality/Severity of COVID-19" (44%, n = 2,224). This investigation is also among the first to apply social contagion theory to autocomplete applications and can be used in future research to explain and perhaps mitigate the spread of CRT.

Microscopic and spectroscopic characterization of an extraskeletal intranasal osteoma in a Gir cow.

This is probably the first report characterizing an extraskeletal intranasal osteoma in a Gir cow through scanning electron microscopy and various spectroscopic techniques. Nasal obstruction in a 10-year-old Gir cow is investigated in this study. Skull radiograph demonstrated 174.12 mm × 81.97 mm sized well-circumscribed radiodense mass within the left nasal passage. The intranasal mass was excised completely through a rhinotomy incision. Grossly, intranasal mass was nonhyperemic, rock-hard, and calcified, 174.12 mm × 81.97 mm in size, and 650 g of weight. Excised intranasal mass was investigated through histopathologic, scanning electron microscopic (SEM), energy-dispersive X-ray (EDX) spectroscopic, X-ray fluorescence (XRF) spectroscopic, microwave plasma-atomic energy spectroscopic (MPAES), and Fourier-transform infrared (FTIR) spectroscopic techniques. A native bone of age-matched Gir cow, collected from a cadaver, was taken as a control. Microscopically, structures similar to cortical bone randomly coexisted with trabecular bone were observed. The EDX analysis of the intranasal mass indicated mean Ca/P weight ratio of 1.88, close to Ca/P weight ratio of the control. The XRF analysis revealed the presence of Ca, P, Sr, S, Zn, Cu, Fe, and Ni in the intranasal mass. Additionally, Mn was noted by MPAES analysis. Hence, the XRF and MPAES analyses confirmed a similar elemental composition of the intranasal mass and control. FTIR spectroscopic study confirmed the presence of inorganic ν1, ν3 PO4 3- , OH- in addition to organic collagen amide A, amide B, amide I, amide II, and amide III chemical functional groups in the intranasal mass. These findings of the intranasal mass were consistent with an osteoma having similar elemental and molecular compositions with the native bone.