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This work was aimed to evaluate the adsorptive properties of activated carbons from coffee residue for phenol removal. The coffee residue was activated using H3PO4 and KOH, and the resultant activated carbons were characterized for surface area and functional groups. The values of surface area were recorded as 1,030 m2/g and 399 m2/g for H3PO4- and KOH-activated carbons, respectively. The maximum capacity for phenol removal is comparable for both activated carbons at 43 mg/g. The pores might be inaccessible due to electrostatic repulsion by surface functional groups and hydroxyl anions. The second stage in a two-stage adsorber design is necessary to accomplish the process with high performance and minimum dosage of activated carbon. Coffee residue is a promising activated carbon precursor for phenol removal. Highlights Coffee residue was activated using phosphoric acid or potassium hydroxide.; Activated coffee residue carbons exhibit phenol capacity of 43 mg/g.; Two-stage adsorber offers insight into high performance and minimum adsorbent dosage.;

Abstract Background Enteric infections are hypothesized to be associated with intussusception in children. A small increase in intussusception following rotavirus vaccination has been seen in some settings. We conducted post-marketing surveillance for intussusception following rotavirus vaccine, Rotavac introduction in India and evaluated association of intussusception with enteric pathogens. Methods In a case-control study nested within a large sentinel hospital-based surveillance program in India, stool samples from 272 children aged less than 2 years admitted for intussusception and 272 age-, gender- and location-matched controls were evaluated with Taqman array card based molecular assays to detect enteric viruses, bacterial enteropathogens and parasites. Matched case-control analysis with conditional logistic regression evaluated association of enteropathogens with intussusception. Population attributable fractions (PAF) were calculated for enteropathogens significantly associated with intussusception. Results The most prevalent enteropathogens in cases and controls were enteroaggregative Escherichia coli, adenovirus 40/41, adenovirus C serotypes and enteroviruses. Children with intussusception were more likely to harbor adenovirus C serotypes (adjusted odds-ratio (aOR) = 1.74; 95% confidence interval (CI) 1.06–2.87) and enteroviruses (aOR = 1.77; 95% CI 1.05–2.97) than controls. Rotavirus was not associated with increased intussusception risk. Adenovirus C (PAF = 16.9%; 95% CI 4.7% − 27.6%) and enteroviruses (PAF = 14.7%; 95% CI 4.2% − 24.1%) had the highest population attributable fraction for intussusception. Conclusion Adenovirus C serotypes and enteroviruses were significantly associated with intussusception in Indian children. Rotavirus was not associated with risk of intussusception.

Introduction: Estimating age is becoming more and more important in forensic science and dentistry. Identifying criminals, child labor problems, birth certificates, job openings, illegal immigrants, or a body whose identity is unknown are just some of the situations where estimating age is necessary. This study’s goal is to find out how to figure out a child’s chronological age between the ages of 12 and 14 by looking at panoramic X-rays and measuring how big their open tooth root tips are. Things Used and Methods: The left mandibular canine, premolars, and molars from 83 dental panoramic X-rays of patients aged 12 to 14 years were used to study tooth development. The individual tooth-root ratio (A/L) was measured using Sirona software-XG machine (Made by Dentsply Sirona, Germany) in a straight line. An estimated age was made and then matched to the real age. Results: A regression equation was used in statistical analysis to guess the age of the people. To figure out the age, 15.9973-8.465(x7) +1.650(x3) was turned into a linear regression model. Conclusion: The equation that was found in this study can be used to accurately guess the dental age of young teens in South India.

The fate and stability of messenger RNA (mRNA), from transcription to degradation is regulated by a dynamic shuttle of epigenetic modifications and RNA binding proteins in maintaining healthy cellular homeostasis and disease development. While Transforming Growth Factor Beta 1 (TGFβ1) has been implicated as a key regulator for diabetic retinopathy, a microvascular complication of diabetes, the RNA binding proteins post-transcriptionally regulating its expression remain unreported in the ocular context. Further, dysfunction of TGFβ1 signalling is also strongly associated with angiogenesis, inflammatory responses and tissue fibrosis in many eye conditions leading to vision loss. In this study, computational and molecular simulations were initially carried out to identify Human Antigen R (HuR) binding sites in TGFβ1 mRNA and predict the structural stability of these RNA-protein interactions. These findings were further validated through in vitro experiments utilizing Cobalt Chloride (CoCl2) as a hypoxia mimetic agent in human retinal microvascular endothelial cells (HRMVEC). In silico analysis revealed that HuR preferentially binds to the 5′-UTR of TGFβ1 and displayed more stable interaction than the 3′UTR. Consistent with in silico analysis, RNA immunoprecipitation demonstrated a robust association between HuR and TGFβ1 mRNA specifically under hypoxic conditions. Further, silencing of HuR significantly reduced TGFβ1 protein expression upon CoCl2 treatment. Thus, for the first time in ocular pathological milieu, direct evidence of HuR- TGFβ1 mRNA interaction under conditions of hypoxia has been reported in this study providing valuable insights into RNA binding proteins as therapeutic targets for ocular diseases associated with TGFβ1 dysregulation.

Background: Temporomandibular joint (TMJ) ankylosis frequently results in mandibular asymmetry, which impairs an affected person’s ability to function and look good. Because of the intricacy of TMJ ankylosis and the variety of surgical procedures available, correcting mandibular asymmetry surgically can be difficult. Methods: Patients with mandibular asymmetry and TMJ ankylosis who had surgery at a tertiary care facility between certain periods were the subject of a retrospective investigation. Medical records were used to gather information on patient demographics, pre-operative imaging, surgical methods, and post-operative results. Surgical methods included condylectomy with or without reconstruction, joint reconstruction with or without orthognathic surgery, and unilateral or bilateral mandibular distraction osteogenesis (MDO). Occlusion, patient-reported results, and facial symmetry made up the evaluation criteria. Findings: The study had a total of 50 patients, with different surgical method distributions. Comparing unilateral and bilateral MDO to condylectomy and joint reconstruction, notable gains in face symmetry and occlusion were seen. The largest complication rate was seen with condylectomy, mostly from recurrence and device-related issues, albeit the rates of other procedures varied as well. Conclusion: In conclusion, customized treatment planning is necessary for the correction of mandibular asymmetry in individuals with TMJ ankylosis. Although mandibular distraction osteogenesis produces better results for occlusion and facial symmetry, it is crucial to carefully weigh the risks involved. While still feasible treatments, condylectomy and joint reconstruction require strict monitoring for any consequences. In order to enhance patient care in this difficult patient group, future research should concentrate on improving treatment procedures and long-term results.

Background: Because of its high rates of morbidity and death, especially in its late stages, oral cancer poses a serious threat to world health. Even with improvements in surgical and chemotherapeutic techniques, advanced oral cancer is still difficult to treat and frequently has unfavorable results. Methods: Information on demographics, tumor features, treatment options, and results were gathered from medical records. Patients were categorized according to whether they underwent surgery alone or adjuvant radiation treatment after initial surgical resection. For the survival analysis, Kaplan–Meier curves and Cox proportional hazards models were employed. Results: There were 150 patients in all, 75 in each group, who took part in the trial. Comparing adjuvant radiation to surgery alone resulted in considerably better overall survival (P < 0.001) and disease-free survival (P < 0.001). However, problems connected to the adjuvant radiation group affected a portion of the patient population. Conclusion: In conclusion, patients with advanced oral cancer can improve their overall and disease-free survival with adjuvant radiation, a successful therapeutic option. To maximize results, nevertheless, cautious patient selection and effective management of treatment-related problems are crucial. To improve treatment algorithms and investigate cutting-edge therapeutic techniques for this difficult condition, further research is necessary.

Pomegranate fruit disease detection and classification based on computer vision remains challenging because of various diseases, building the task of collecting or creating datasets is extremely difficult. The usage of machine learning and deep learning in farming has increased significantly in recent years. For developing precise and consistent machine learning models and reducing misclassification in real-time situations, efficient and clean datasets are a key obligation. The current pomegranate fruit diseases classification standardized and publicly accessible datasets for agriculture are not adequate to train the models efficiently. To address this issue, our primary goal of the current study is to create an image dataset of pomegranate fruits of numerous diseases that is ready to use and publicly available. We have composed 5 types of pomegranate fruit healthy and diseases from different places like Ballari, Bengaluru, Bagalakote, Etc. These images were taken from July to October 2023. The dataset contains 5099 pomegranate fruit images which are labeled and classified into 5 types: Healthy, Bacterial blight, Anthracnose, Cercospora fruit spot, and Alternaria fruit spot. The dataset comprises 5 folders entitled with corresponding diseases. This dataset might be useful for locating pomegranate diseases in other nations as well as increasing the production of pomegranate yield. This dataset is extremely useful for researchers of machine learning or deep learning in the field of agriculture for emerging computer vision applications.

The study aimed to assess the impact of different combinations of cultivar mixtures on finger millet blast epidemics without affecting yield. The research employed Disease Progress Curves (DPCs) such as AUDPC, rAUDPC, and sAUDPC to evaluate leaf, neck and finger blast epidemics' severity at various time intervals. Treatments involved mixtures of pre-released cultures and commercial varieties, combined with resistant cultivars in ratios of 1:1 and 2:1 to combat blast disease. These mixtures were compared with monoculture performances (resistant and susceptible checks) and fungicide treatments. The mixture of pre-released cultures (TNEc 1285 + TNEc 1294 + TNEc 1310) combined with the resistant cultivar GE4449 at a 1:1 ratio demonstrated the most significant impact in reducing the Area Under Disease Progressive Curve (AUDPC) values for all three blast types while maintaining consistent yield. This treatment exhibited results comparable to fungicide (Tricyclazole 75% WP) sprays across trials conducted from September to December in both 2020 and 2021. Economically, the cost-benefit ratio favoured the culture composite despite its delayed onset and slower progression during disease epidemics under field conditions. The mixture of cultures demonstrated sustainable yield without requiring significant additional input costs or frequent fungicidal application in both trial periods. This suggests a promising and cost-effective approach to managing finger millet blast epidemics while maintaining yield stability in agricultural practices.

Quinoline derivatives are important heterocyclic compounds with potential medicinal values, especially for treating cancers like breast cancer. However, drug resistance and potential toxicity can limit their effectiveness. New derivatives are needed to specifically target cancer cells, particularly in breast cancer, while minimizing harm to normal cells and side effects for better treatment outcomes. Thus, this study aims to design and synthesize novel quinoline derivatives incorporating substituted piperazine moieties to enhance their anticancer efficacy by inhibiting EGFR, a key therapeutic target for breast cancer. Therefore, in this study, structural elucidation of the synthesized compounds was confirmed by using various analytical techniques, including IR, MASS, and NMR spectral data. Subsequently, these analogs were analyzed for their binding affinity using the molecular docking study, while anticancer efficacy was evaluated against MCF-7 cell lines, followed by an in vivo study in a DMBA-induced rat model. Initially, docking studies of synthesized analogs (8a–i) at the ATP binding site of the EGFR showed better docking scores and MM/GBSA energy, indicating their increased binding affinity to the EGFR. Further, the in vitro evaluation of all compounds (8a–i) showed that the compounds effectively inhibit the EGFR-TK enzyme, with compound 8i showing the highest potency at 87.5%. Moreover, the anti-breast cancer efficacy of compound 8i is attributed to electron-donating groups, which enhance interactions with biological targets. Compound 8i exhibited promising anti-breast cancer activity and was confirmed in vitro and in vivo studies, warranting further investigation as a potential anticancer property.

Neurofibromatosis 1 (NF1) is a single gene disorder associated with working Memory (WM) impairments. The aim of this study was to investigate P300 event-related potential (ERP) associated with WM in NF1. Sixteen adolescents with NF1 were compared with controls on measures of WM and EEG was recorded during a WM nback task. The NF1 group showed poorer performance on measures of WM as compared to the control group. No group differences were observed in P300 amplitude at Pz, but P300 latency was shorter in the NF1 group. Topographic analyses of P300 amplitude showed group differences indicating neural processing differences in the NF1 group relative to controls, which possibly contribute to the cognitive deficits seen in this population.

Hardware security modules play a crucial role in protecting and preserving technologically integrated systems that are used in daily life. They employ cryptographic protocols to secure a system against adversaries. Generally, cryptographic algorithms and security keys are quintessential for maintaining the security of a system. Cryptography uses a secret key to encipher and decipher the data. These secret keys are stored in a non-volatile memory that attackers can easily access. The hardware security primitive, Physical Unclonable Function (PUF) is a promising alternative for enhancing the security of interconnected devices. A PUF produces an output in response to an input based on the physical structure and intrinsic manufacturing variations of an integrated circuit (IC). The generated random response being unpredictable, act as a robust secret key in cryptographic protocols. The first silicon PUF is the Arbiter PUF, which can instantly produce significantly more secret keys based on the input with a lightweight design. Due to its advantage, it is best suited for device authentication in resource-constrained applications employing the Internet of Things (IoT). The PUF is also suitable for applications such as the Internet of Vehicles, the Internet of Medical Things, RFID (radio frequency identification) tags, and smart cards. In this paper, the basic Arbiter PUF design is implemented in ZedBoard to analyze the PUF performance characteristics for 16, 32, and 64-bit responses. A review of Arbiter PUF design, different compositions of Arbiter PUF, their individual characteristics, and vulnerabilities against machine-learning attacks have been presented at their broader best in this paper.

During the kingdom of Aaditya Karigala Cholan, there were around Forty Holy Thirupathis in the Chola regime out of 108 Vaishnava Holy Scripts. Prof. N. Subbu Reddiar in his book elicits about the importance of Holy Thirupathis, the specialities of the temples, the architectural design of the temples, the significant beauty of Perumal, the melody of Mangala Saasanam sung by the Alwars and their worship. In this research paper, the study is specific to the Holy Thirupathis of the Chola regime, which magnifies the inherent and boundless affection rendered by Alwars to Perumal. The Alwars' devotion to the lord and the sweet melodies sung by them has been gathered through the book “Oorum Perum”. Further, it had been the customary practice of Alwars to visit the temples and praise the Lord Vishnu shows their devotion to reach Perumal. With this miraculous power, Thirumazhaisai Alwar made the king marry the lady. The importance of the faith of Vaishnavism is popularly envisioned with the spiritual adherence to Perumal by the Twelve Alwars. When Karmega Kannan visits the place, the young girls of the place who has attained maturity attract him with melodious and romantic songs. Krishna’s magical tune in dancing style on the forehead of “Five Headed Serpent” (Kaarkodak) and protecting the Aayarpadi people by lifting the mountain “Kovarthan” and also killing the female monster had been the greatest wonders of Krishna and the alwars sing of these chivalric actions through their melodious songs. Consequently, the collection of hymns and melody songs was compiled into a series of 4000 songs called “Nalayira Divya Prapantham” sung by Alwars. The divine respect for Perumal by Periyalwar can be seen through the wedlock of Aandal with Perumal. Aandal became popular as Goddess, thereby attaining glory with Perumal. Hence, Perumal is glorified by the incarnation of Archavathara through the observations of Subbu Reddiar based on the Thirupathis flourished at the times of the Chola Regime. The article elaborates on the ideas of Reddiar on the holy Thirupathis at the time of the Chola regime.

BackgroundHNF1A is an essential component of the transcription factor network that controls pancreatic β-cell differentiation, maintenance, and glucose stimulated insulin secretion (GSIS). A continuum of protein malfunction is caused by variations in the HNF1A gene, from severe loss-of-function (LOF) variants that cause the highly penetrant Maturity Onset Diabetes of the Young (MODY) to milder LOF variants that are far less penetrant but impart a population-wide risk of type 2 diabetes that is up to five times higher. Before classifying and reporting the discovered variations as relevant in clinical diagnosis, a critical review is required. Functional investigations offer substantial support for classifying a variant as pathogenic, or otherwise as advised by the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) ACMG/AMP criteria for variant interpretation.ObjectiveTo determine the molecular basis for the variations in the HNF1A gene found in patients with monogenic diabetes in India.MethodsWe performed functional protein analyses such as transactivation, protein expression, DNA binding, nuclear localization, and glucose stimulated insulin secretion (GSIS) assay, along with structural prediction analysis for 14 HNF1A variants found in 20 patients with monogenic diabetes.ResultsOf the 14 variants, 4 (28.6%) were interpreted as pathogenic, 6 (42.8%) as likely pathogenic, 3 (21.4%) as variants of uncertain significance, and 1 (7.14%) as benign. Patients harboring the pathogenic/likely pathogenic variants were able to successfully switch from insulin to sulfonylureas (SU) making these variants clinically actionable.ConclusionOur findings are the first to show the need of using additive scores during molecular characterization for accurate pathogenicity evaluations of HNF1A variants in precision medicine.

Abstract Aim: A robust and advanced controller for pH monitoring and control is necessary in industrial processes inorder to treat the effluents to protect the flora and fauna in the environment. Advanced controllers such as fractional controllers could be used for effective control with increased accuracy and reliability. Materials and Methods: This study includes a comparison of conventional controllers with advanced fractional order controllers to improve the performance of pH control in effluents from the industrial plants. Results: A fractional order predictive proportional integral (FOPPI) controller for effective control of pH was designed and simulated. This controller includes the advantages of a smith predictor for dead time compensation and the robustness of a fractional order controller. The presented method shows an improvement in control performance in terms of rise time (32 s), settling time (140 s), lesser oscillations (2%), and lesser integral of the absolute error of 171. Conclusion: FOPPI provides efficient control of pH in all regions of the titration curve and can be used for the control of pH in industrial waste water.

The present study was carried out on sixty-eight early duration pigeonpea genotypes during rabi, 2021-22. Twenty traits were recorded as per the descriptors provided by PPV & FRA and several genotypes possessed unique traits that aid in genotype identification and varietal purification. The traits viz., branching pattern, growth habit, stem colour, colour of base of petal, pattern of streaks on petal (standard), pod colour, pod surface stickiness, pod size, the number of seeds per pod, seed colour, seed shape, seed pattern and seed size showed significant variation among genotypes. Characters such as leaf shape, leaf pubescence, days to 50% flowering and pod constriction showed no variation. Sixty-eight genotypes were subjected to cluster analysis and the genotypes were grouped into eight major clusters, where cluster II was the largest one followed by clusters VI, I, IV, V, VII, VIII and III. The genotypes present in different clusters showed high variation for different traits and will be utilized for crop improvement programs.

The DUS test is an important tool for cataloguing the genotypes and utilization of variants in the crop improvement programme. In the present investigation, a total of 55 early duration pigeonpea genotypes were categorized by descriptors and cluster analysis for 21 agro morphological traits. Wide variations were observed in the characters viz., flower colour, a pattern of streaks, pod colour, seed colour, seed shape and size and no much variation was observed for the remaining traits. The traits viz., earliness and prominent type of pod constriction were identified in all the genotypes. The genotypes were partitioned into six clusters. Cluster I encompass 32 genotypes; cluster II consists of seven genotypes; four genotypes each were placed in clusters III and V; clusters IV and VI comprised of five and three genotypes, respectively. In the present study, the DUS descriptors and the variation observed in the early duration pigeonpea genotypes will form the basis for designing the pigeonpea improvement programme.

Post-harvest losses in onions pose a serious challenge, urging exploration of innovative strategies. The scrutiny explores post-harvest technology's pivotal role in curbing losses, vital for food security and economic stability. Grading, sorting, and modern storage methods are outlined, including recent advances like gamma ray irradiation. Additionally, innovative approaches to managing onion diseases are discussed. Insightfulness into traditional and modern storage methods including recent advances are also brought out. As a corollary, this comprehensive review underscores the critical importance of post-harvest technology in reducing onion losses and enhancing the overall efficiency and sustainability of the onion supply chain. It emphasizes the need for improved post-harvest management to minimize losses, highlighting essential recommendations for agricultural stakeholders. [ABSTRACT FROM AUTHOR]

Lablab bean (Lablab purpureus L.) is a multipurpose leguminous crop renowned for its nutritional value and tolerance to a range of climates. Lablab bean, originated from India, has key nutritional components such as proteins, minerals, vitamins, and essential fatty acids, making it an important dietary staple in tropical and subtropical countries. However, its production is hampered by a variety of biotic and abiotic obstacles, including bacterial, fungal, and viral infections, nematode infestations, and harsh climatic circumstances such as drought, salt, heat stress, and poor soil fertility. Breeding efforts are critical to overcoming these problems and realizing Lablab's full potential. Genomic selection, speed breeding, mutation breeding, genome editing, pre-breeding, molecular breeding, and omics technologies are paving the way for better varieties with higher nutritional values. Furthermore, using wild relatives and landraces increases genetic diversity and robustness in breeding operations. Overall, this review emphasizes the relevance of the Lablab bean crop, which has enormous potential for addressing global food security issues. Researchers can uncover the nutritional and agronomic benefits of Lablab bean by leveraging contemporary breeding methodologies and genetic resources, assuring its long-term cultivation and contribution to global human nutrition. [ABSTRACT FROM AUTHOR]

Unicystic ameloblastoma is a distinct entity of ameloblastoma characterized by slow growth and locally aggressive behavior. This retrospective study aimed to assess the efficacy of different treatment modalities of unicystic ameloblastoma, focusing on clinico-radiological and histopathological features. Data from patients diagnosed with unicystic ameloblastoma were retrospectively analyzed. Patients were categorized into luminal and intraluminal (Group A) and mural (Group B) variants based on the Ackermann classification, which has a significant influence on their biological behavior, treatment approaches, and prognosis. Patients in Group A underwent enucleation with chemical cauterization, peripheral ostectomy, and iodoform packing, whereas those in Group B were treated with resection and reconstruction. Post-operatively, the patients were subjected to radiographic assessments via digital orthopantomogram at regular intervals. Because of the rarity of unicystic ameloblastoma, only 17 patients were included in the study (Group A: 9 patients; Group B: 8 patients), with a mean follow-up of 4.9 years (range: 1.4–11.8 years). The primary outcome measure was the absence of recurrence, which indicated treatment success. No patient in either group experienced recurrence within the follow-up period. This study provides evidence supporting the successful treatment of luminal and intraluminal variants of unicystic ameloblastoma in young individuals using a conservative approach. However, the more aggressive mural variant demonstrated favorable outcomes with radical treatment. These findings emphasize the importance of the Ackermann classification in guiding treatment decisions for unicystic ameloblastoma and contribute valuable insights into optimizing therapeutic strategies based on clinico-radiological and histopathological findings. [ABSTRACT FROM AUTHOR]

A study was conducted to determine the genetic variability among sixty four vegetable pigeonpea genotypes for ten quantitative and quality traits. Highly significant differences existed among the genotypes for all the ten characters studied. Phenotypic coefficients of variation (PCV) were found higher than the genotypic coefficient of variation (GCV) for all the traits. High PCV and GCV was observed for total soluble sugars (28.73, 27.94 %) and hundred fresh bean weight (26.54, 25.87 %), respectively. PCV and GCV values were moderate for the traits viz., fresh pod length, fresh pod width, the number of beans per pod, bean length, bean width, protein content and fibre content. High heritability was observed for fresh pod length, fresh pod width, the number of beans per pod, hundred fresh bean weight and total soluble sugars. High heritability coupled with high genetic advance as per cent of mean was observed for fresh pod length, fresh pod width, hundred fresh bean weight and total soluble sugars indicating the additive gene effect. The genotypes viz., CVPP-20-002, CVPP-20-023, CVPP-20-017, CVPP-20-031, CVPP-20-032 and CVPP-20-061 showed a good performance for quantitative and nutritional traits and were superior over the check varieties. The promising genotypes identified for different vegetable traits could be used in the breeding programme to develop vegetable/dual purpose varieties in pigeonpea.

A long duration high yielding Pigeonpea culture CRG 2012-25 as CO 9 was developed at the Department of Pulses, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore was released by Central Variety Release Committee during 2019. It is a cross derivative of CO 6 x IC 525427 with a duration of 170 -180 days, suitable for kharif sowing. This variety yields on an average yield of 1700 kg/ha which is 17.58, 19.00 and 14.61 per cent yield increase over CO 6 (Local check), WRP 1 (Zonal check) and ICP 8863 (national check), respectively. It recorded maximum yield of 2697 kg/ha in Tandur, Telangana. This variety has bold seeds (100 seed weight of 9.0 - 10.0 g) with a protein content of 23.65 per cent. It is moderately resistant to wilt and SMD diseases and the pests viz., Maruca and pod fly. This variety is suitable for the southern zone of India which includes Tamil Nadu, Karnataka, Telengana, Andhra Pradesh and Odisha.

Abstract Objective Retinoschisis and Norrie disease are X-linked recessive retinal disorders caused by mutations in RS1 and NDP genes respectively. Both are likely to be monogenic and no locus heterogeneity has been reported. However, there are reports showing overlapping features of Norrie disease and retinoschisis in a NDP knock-out mouse model and also the involvement of both the genes in retinoschisis patients. Yet, the exact molecular relationships between the two disorders have still not been understood. The study investigated the association between retinoschisin (RS1) and norrin (NDP) using in vitro and in silico approaches. Specific protein–protein interaction between RS1 and NDP was analyzed in human retina by co-immunoprecipitation assay and MALDI-TOF mass spectrometry. STRING database was used to explore the functional relationship. Result Co-immunoprecipitation demonstrated lack of a direct interaction between RS1 and NDP and was further substantiated by mass spectrometry. However, STRING revealed a potential indirect functional association between the two proteins. Progressively, our analyses indicate that FZD4 protein interactome via PLIN2 as well as the MAP kinase signaling pathway to be a likely link bridging the functional relationship between retinoschisis and Norrie disease.

Soil constitutes a major component of the agro-ecosystem. Unrestrained uses of chemical pesticides and increased human activities have contributed to unprecedented changes in soil microflora affecting productivity. Modern microbiomics has proven to be an indispensable tool to understand the adaptations underlying complex soil microbial communities and their beneficial applications. In this review, we seek to emphasize the scope of microbiomics in enhancing soil productivity by providing an overview of the various sequencing platforms considering key parameters such as the accuracy, read lengths, reads per run, time involved and weighing out their pros and cons. The advances in modern ultra-high-throughput microbiomics platforms in combination with cloud-based analytics for in-depth exploration of soil-microbe associations can help achieve sustainable soil management contributing to better plant yield and productivity.

Abstract Background Immunomodulatory effects of Tinospora crispa have been investigated due to its traditional use to treat several inflammatory disorders associated to the immune system. The present study reports the underlying mechanisms involved in the stimulation of 80% ethanol extract of T. crispa stems on pro-inflammatory mediators release in lipopolysaccharide (LPS)-primed U937 human macrophages via MyD88-dependent pathways. Methods Release of interleukin (IL)-1β and tumor necrosis factor (TNF)-α, and production of prostaglandin E2 (PGE2) were determined by using enzyme-linked immunosorbent assay (ELISA). Immunoblot technique was executed to determine the activation of MAPKs molecules, NF-κB, PI3K-Akt and cyclooxygenase-2 (COX-2) protein. Determination of pro-inflammatory cytokines and COX-2 relative gene expression levels was by performing the real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR). A reversed-phase HPLC method was developed and validated to standardize the T. crispa extract and chemical profiling of its secondary metabolites was performed by LC-MS/MS. Results Qualitative and quantitative analyses of chromatographic data indicated that syringin and magnoflorine were found as the major components of the extract. T. crispa-treatment prompted activation of NF-κB by enhancing IKKα/β and NF-κB (p65) phosphorylation, and degradation of IκBα. The extract upregulated COX-2 protein expression, release of pro-inflammatory mediators and MAPKs (ERK, p38 and JNK) phosphorylation as well as Akt dose-dependently. T. crispa extract also upregulated the upstream signaling adaptor molecules, toll-like receptor 4 (TLR4) and MyD88. T. crispa-treatment also upregulated the pro-inflammatory markers mRNA expression. Conclusion The results suggested that T. crispa extract stimulated the MyD88-dependent signaling pathways by upregulating the various immune inflammatory related parameters.

The present research focuses on synthesizing surface-modified egg shell powders using ultrasonic modification method for the effective adsorption of malachite green dye (MG). The presence of functional groups and surface morphology of ultrasonic-assisted egg shell powder (UAESP) was characterized using Fourier transform infrared spectrophotometer (FTIR) and scanning electron microscopy (SEM) analysis, respectively. A batch adsorption study was performed to predict the optimum conditions, and the results showed that maximum adsorption rate at the solution pH of 8.0 within the interaction time of 90 min, dosage of 1.5 g/L for MG dye concentration of 25 mg/L, and temperature 30°C. The isotherm and kinetics modeling of the present adsorption system can be well described by Freundlich and pseudosecond-order kinetics, respectively. The monolayer adsorption capacity of UAESP for MG dye was originated to be 64.58 mg/g. The results of the thermodynamic study reported that adsorption removal of MG dye onto UAESP was exothermic and spontaneous. This study accredited that UAESP has higher efficiency, cost-effective, and sustainable adsorbent for the removal of hazardous dyes on an industrial level.

A high yielding and early maturing Samai TNPsu 177 was developed at the Centre of Excellence In Millets, Tamil Nadu Agricultural University, Athiyandal and released as ATL 1. It is a derivative of CO(Samai) 4 x TNAU 141 with 1587 kg/ha grain yield and 3109 Kg/ha of straw yield in 85-90 days under rainfed condition. Being a short duration variety, this variety fits well in the existing double cropping rainfed condition of North, North western and western zones of Tamil Nadu. Samai is grown in June- July as a preceding crop to horsegram in more than 80,000 ha. It has yield advantage of 11.2 and13.7 percent for grain yield while11.8 - 14.4 percent for straw yield over the check varieties viz.,CO(Samai) 4 and Paiyur 2. Samai line TNPsu 177 has strong and sturdy culm with long, semi-compact panicles and drought tolerance. The plant has 6- 8 productive tillers and non-shattering grains. It has special attributes like easy threshability, synchronous maturity and nonlodging growth habit. The grains are bold with attractive golden yellow colour. In view of stable yield performance across seasons and locations, special attributes and drought tolerance, Samai TNPsu 177 is proposed for release as ATL 1 to fulfill the long felt need of the drylands, hilly and tribal areas in Dharmapuri, Thiruvannamalai, Vellore, Salem and Krishnagiri districts of Tamil Nadu where samai is predominantly grown under rainfed condition

Mungbean (Vigna radiata) is an important short-season legume widely cultivated in Asia, particularly India. It is highly susceptible to bruchids and developing bruchid resistance is an important goal in mungbean breeding programs. In the present study, 52 mungbean genotypes were evaluated for bruchid resistance based on the “no-choice test” and identified two highly resistant genotypes (V2802BG and V2709) with no adult emergence and seed damage. Further, these two resistant genotypes were crossed with six high-yielding bruchid susceptible cultivars (CO 5, CO 6, CO 7, CO 8, VBN 2, and VBN 3), and 12 independent F1 populations were generated. Of these, one population derived from CO 6 × V2802BG was selected (based on the good combining ability of the parents) and forwarded to later generations to trace the bruchid-resistant lines. A total of 159 F2:3 families were screened for bruchid resistance, and the results showed that seven families were highly resistant, whereas the remainder were resistant to highly susceptible. Further, those seven families were evaluated in F4 and F5 generations. As a result, five highly resistant lines (BSR-GG-1-49-3-1, BSR-GG-1-56-2-2, BSR-GG-1-160-5-3, BSR-GG-1-170-2-4, and BSR-GG-1-198-1-4) with good agronomic performances were identified. The newly developed lines could be tested in multi-location trials and then be utilized as a potential source of genetic material for improving the bruchid resistance in mungbean breeding programs.

In the present study, fifty-two mungbean (Vigna radiata) genotypes were evaluated for seven morphological traits at three different environments in South Indian state Tamil Nadu, namely Virinjipuram (E1), Eachangkottai (E2), and Bhavanisagar (E3) during Kharif 2017, 2018, and 2019, respectively. The data collected were subjected to variability and correlation analyses, followed by stability analysis using additive main effects and multiplicative interaction (AMMI) model, genotype and genotype × environment interaction effects (GGE) biplot. Variablility was observed among the genotypes for the following traits viz., plant height, days to fifty per cent flowering, number of pods per plant, pod length, number of seeds per pod, hundred seed weight and grain yield. Correlation analysis showed that the trait number of pods per plant was significantly associated with grain yield. The G × E was smaller than the genetic variation of grain yield as it portrayed the maximum contribution of genotypic effects (61.07%). GGE biplot showed E3 as a highly discriminating and representative environment. It also identified environment-specific genotypes viz., EC 396111 for E1, EC 396125 for E2 and EC 396101 for E3 environments. The genotypes with minimum genotype stability index (GSI) viz., V2802BG (7), HG 22 (13), and EC 396098 (13) were observed with wide adaptation and high yields across all the three environments. In summary, we identified stable genotypes adapted across environments for grain yield. These genotypes can be used as parent/pre-breeding materials in future mungbean breeding programs.