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Scree conglomerate and its derivatives in the Upper Cretaceous Kallankurichchi Limestone,Ariyalur Group,Cauvery Basin,South India

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Journal of Palaeogeography 2024年第3期13卷 495-508页

作者： shilpa Srimani Department of Geological Sciences Jadavpur UniversityKolkata700032India

The repetitive influx of coarse clastics of mixed composition,siliciclastics and carbonates,locally common in the lower part of the Upper Cretaceous marine Kallankurichchi Limestone specifies a resurgence of tectonic unrest in the Cauvery rift basin,*** basin-margin scree and its derivatives elicit diverse modes of emplacement and differ in many ways from denoting it only as basal *** study meticulously reveals the depositional history of these basin-margin coarse *** scree conglomerate bodies are wedge-shaped in appearance and often have flat,eroded *** places,their surfaces,tops and flanks,are encrusted with Inoceramus although internally,they are mostly *** are clast-supported and extremely poorly sorted,having interstitial spaces filled by sand-sized grains at the basal *** clasts can be traced into the underlying Sillakuddi Sandstone and the granitic *** clasts derived from the sandstone are angular and measure up to 60 cm in length,while the basement-derived clasts dominate the smaller(maximum diameter measured 5 cm)and more rounded *** elongated clasts are chaotically arranged,even oriented sub-vertically,reclining on other *** lowermost scree conglomerate has a sharp base,and the pebbles sunk into the underlying sandstone,although no discernible impact laminae wrapping their bottom were ever ***,the scree fans were initiated under the sea,which permitted the slow sinking of assorted rock fragments dropped from *** sporadic occurrence of marine fossils further corroborates this *** scree conglomerates at different stratigraphic levels transitioned laterally into conglomerates of mass flow origin and then to massive calcarenite,together forming wedge-shaped *** initial alignment of clasts parallel to bedding transforms to a chaotic alignment representing the transition from internally sheared flow to debris flow and associated ***

关键词： Scree conglomerate Kallankurichchi Limestone Tectonic subsidence Flow transformation Cauvery Basin

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Comparison of rare earths doping(neodymium and samarium) on structural and magnetic properties of Ni-Zn-Bi nanoferrites

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Journal of rare Earths 2024年第3期42卷 534-542,I0004页

作者： shilpa Taneja Preeti Thakur Dinesh Kumar Yassine Slimani Atul Thakur NanoLatticeX Amity University HaryanaGururam122413HaryanaIndia Nanotechnology Wing Innovative Science Research SocietyShimla177002India Centre for Nanotechnology Amity University HaryanaGururam122413HaryanaIndia Department of Biophysics Institute for Research and Medical Consultations(IRMC)Imam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia School of Electronics and Information Engineering Nanjing University of Information Science&TechnologyNanjing210044China

Excellent magnetic properties in ferrites are required for high-frequency applications and for wastewater treatment. Thus, the present study shows the comparison of magnetic and structural properties of Nd and Sm substituted Ni-Zn-Bi ferrites with the series Ni_(0.5)Zn_(0.5)Bi_(0.04)Nd_(x)Fe_(1.96-x)O_4(with step size 0.002)and Ni_(0.5)Zn_(0.5)Bi_(0.04)Sm_(x)Fe_(1.96-x)O_4(with step size 0.02) prepared using citrate precursor method. The impact of the substitution of rare earth ions(Nd and Sm) on magnetic properties of the synthesized samples is observed using a vibrating sample magnetometer(VSM). The saturation magnetization values enhance considerably from 52 to 58 emu/g for Nd^(3+)ions and 39 to 57 emu/g for Sm^(3+) ions, thus, making these materials magnetically hard. Further, the higher value of coercivity is also observed ranging from133 to 167 Oe for Nd^(3+)ions and 81 to 155 Oe for Sm^(3+) ions. The shape of hysteresis loops indicates a super paramagnetic and ferromagnetic behavior in the obtained samples. The squareness ratio value isropy of particles and hence, these ferrites are suitable for microwaveabsorbing and in permanent magnetic materials. The X-ray diffraction(XrD) pattern shows the formation of pure cubic crystallites, where, lattice parameters range from 0.840 to 0.839 nm and from 0.838to 0.839 nm for Nd^(3+)and Sm^(3+) ions substitution, respectively. The crystallite size ranges between 28.63to 29.89 nm and 18.33 to 26.23 nm, for substitution of Nd^(3+)and Sm^(3+) ions, respectively. Field emission scanning electron microscopy(FESEM) shows the formation of homogeneous grains, whereas, energy dispersive spectrometer(EDS) counts describe the purity of the samples. The Sm concentration x = 0.10has the maximum surface area with value of 42.6 m^(2)/g which proves to be having good data storage application due to high surface area. The zero-field cooled(ZFC) and field cooled(FC) data show that Nddoped Ni-Zn-Bi nano

关键词： Citrate precursor X-ray diffraction Vibrating sample magnetometer Coercivity Field emission scanning electron microscopy rare earths

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A New Method for Diagnosis of Leukemia Utilizing a Hybrid DL-ML Approach for Binary and Multi-Class Classification on a Limited-Sized Database

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 593-631页

作者： Nilkanth Mukund Deshpande shilpa Gite Biswajeet Pradhan Abdullah Alamri Chang-Wook Lee Department of Electronics&Telecommunication LavaleSymbiosis Institute of TechnologySymbiosis International(Deemed University)PuneMaharashtra412115India Electronics&Telecommunication Dr.Vithalrao Vikhe Patil College of EngineeringAhmednagarMaharashtra414111India Artificial Intelligence and Machine Learning Department Symbiosis Institute of TechnologySymbiosis International(Deemed)UniversityPune412115India Symbiosis Centre of Applied AI(SCAAI) Symbiosis International(Deemed)UniversityPune412115India Centre for AdvancedModelling and Geospatial Information Systems(CAMGIS) School of Civil and Environmental EngineeringFaculty of Engineering&ITUniversity of Technology SydneySydneyAustralia Earth Observation Centre Institute of Climate ChangeUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia Department of Geology&Geophysics College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia Department of Science Education Kangwon National UniversityChuncheon-si24341Korea

Infection of leukemia in humans causes many complications in its later *** impairs bone marrow’s ability to produce *** diagnosis of human blood cells is a well-known and well-proven technique for diagnosis in this *** binary classification is employed to distinguish between normal and leukemiainfected *** addition,various subtypes of leukemia require different *** sub-classes must also be detected to obtain an accurate diagnosis of the type of *** entails using multi-class classification to determine the leukemia *** is usually done using a microscopic examination of these blood *** to the requirement of a trained pathologist,the decision process is critical,which leads to the development of an automated software framework for *** utilized state-of-the-art machine learning approaches,such as Support Vector Machine(SVM),random Forest(rF),Na飗e Bayes,K-Nearest Neighbor(KNN),and others,to provide limited accuracies of *** advanced deep-learning methods are also *** to constrained dataset sizes,these approaches result in over-fitting,reducing their outstanding *** study introduces a deep learning-machine learning combined approach for leukemia *** uses deep transfer learning frameworks to extract and classify features using state-of-the-artmachine learning *** transfer learning frameworks such as VGGNet,Xception,InceptionresV2,Densenet,and resNet are employed as feature *** extracted features are given to rF and XGBoost classifiers for the binary and multi-class classification of leukemia *** the experimentation,a very popular ALL-IDB dataset is used,approaching a maximum accuracy of 100%.A private real images dataset with three subclasses of leukemia images,including Acute Myloid Leukemia(AML),Chronic Lymphocytic Leukemia(CLL),and Chronic Myloid Leukemia(CML),is also employed to generalize the *** d

关键词： Leukemia diagnosis deep learning machine learning random forest XGBoost

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Cancer treatment with biosimilar drugs:A review

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Cancer Innovation 2024年第2期3卷 45-62页

作者： shilpa Malakar Emmanuel Nuah Gontor Moses YDugbaye Kamal Shah Sakshi Sinha Priya Sutaoney Nagendra Singh Chauhan Department of Microbiology Kalinga UniversityRaipurChhattisgarhIndia Institute of Pharmaceutical research GLA UniversityMathuraUttar PradeshIndia Drug Testing Laboratory Avam Anusandhan KendraRaipurChhattisgarhIndia

Biosimilars are biological drugs created from living organisms or that contain living *** share an identical amino-acid sequence and *** drugs are considered to be cost-effective and are utilized in the treatment of cancer and other endocrine *** primary aim of biosimilars is to predict biosimilarity,efficacy,and treatment costs;they are approved by the Food and Drug Administration(FDA)and have no clinical *** involve analytical studies to understand the similarities and dissimilarities.A biosimilar manufacturer sets up FDA-approved reference products to evaluate *** contribution of next-generation sequencing is evolving to study the organ tumor and its progression with its impactful therapeutic approach on cancer patients to showcase and target rare *** study shall help to understand the future perspectives of biosimilars for use in gastro-entero-logic diseases,colorectal cancer,and thyroid *** also help target specific organs with essential mutational categories and drug prototypes in clinical practices with blood and liquid biopsy,cell treatment,gene therapy,recombinant therapeutic proteins,and personalized *** derivatives such as monoclonal antibodies like trastuzumab and rituximab are common drugs used in cancer *** coli produces more than six antibodies or antibody-derived proteins to treat cancer such as filgrastim,epoetin alfa,and so on.

关键词： biologics biosimilars cancer Escherichia coli monoclonal antibody next-generation sequencing pharmacovigilance

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Challenges in Diagnosing and Managing Dieulafoy’s Lesions: A Case report Highlighting the Importance of Clinical Suspicion and Multidisciplinary Approach in Obscure Gastrointestinal Bleeding

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Open Journal of Gastroenterology 2024年第3期14卷 80-86页

作者： Feruza Abraamyan Neeladri Misra Kenneth Tran Khalid Mahmood Benjamin Coombs shilpa Lingala Sutter roseville Medical Center Roseville USA

Upper gastrointestinal bleeding remains a significant cause of hospital admissions. Even though the incidence of peptic ulcer disease and gastritis is decreasing, the incidence rates in neoplasm, Dieulafoy’s lesions, angiodysplasia, and esophagitis are trending up, which necessities physicians to be aware of those pathologies and their specifics. Here, we represent a case of a 62-year-old male on dual antiplatelet therapy who was transferred to our hospital due to severe melena with suspicion of upper gastrointestinal bleeding. Due to hemodynamic instability, the patient was intubated and started on vasopressors. However, several repeated EGDs and CTs of the abdomen with GI bleeding protocol did not reveal the location of active bleeding to stop it. At the same time, clinically, the patient was hemodynamically unstable with continued melena. On the last EGD, a small area of concern resembling gastric varix was clipped for identification purposes, and the patient underwent a selective angiogram with further diagnosis of Dieulafoy’s lesion, which was successfully embolized. Our case demonstrates that Dieulafoy’s lesions can present as severe life-threatening hemorrhage, hard to diagnose with traditional methods such as EGD or CTs, in which case it is recommended to proceed with an angiogram sooner rather than later for further diagnosis and treatment if needed.

关键词： Upper Gastrointestinal Bleeding Dieulafoy’s Lesion Angiodysplasia Melena Hematochezia EGD Angiogram Embolization

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Comparative evaluation of artificial intelligence systems'accuracy in providing medical drug dosages:A methodological study

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World Journal of Methodology 2024年第4期14卷 121-130页

作者： Swaminathan ramasubramanian Sangeetha Balaji Tejashri Kannan Naveen Jeyaraman shilpa Sharma Filippo Migliorini Suhasini Balasubramaniam Madhan Jeyaraman Department of Orthopaedics Government Medical CollegeOmandurar Government EstateChennai 600002Tamil NaduIndia Department of Orthopaedics ACS Medical College and HospitalDr MGR Educational and Research InstituteChennai 600077Tamil NaduIndia Department of Paediatric Surgery All India Institute of Medical SciencesNew Delhi 110029India Department of Life Sciences HealthLink Campus UniversityRome 00165Italy Department of Orthopaedic and Trauma Surgery Academic Hospital of Bolzano(SABES-ASDAA)Teaching Hospital of the Paracelsus Medical UniversityBolzano 39100Italy Department of radio-Diagnosis Government Stanley Medical College and HospitalChennai 600001Tamil NaduIndia

BACKGrOUND Medication errors,especially in dosage calculation,pose risks in *** intelligence(AI)systems like ChatGPT and Google Bard may help reduce errors,but their accuracy in providing medication information remains to be *** To evaluate the accuracy of AI systems(ChatGPT 3.5,ChatGPT 4,Google Bard)in providing drug dosage information per Harrison's Principles of Internal *** A set of natural language queries mimicking real-world medical dosage inquiries was presented to the AI *** were analyzed using a 3-point Likert *** analysis,conducted with Python and its libraries,focused on basic statistics,overall system accuracy,and disease-specific and organ system *** ChatGPT 4 outperformed the other systems,showing the highest rate of correct responses(83.77%)and the best overall weighted accuracy(0.6775).Disease-specific accuracy varied notably across systems,with some diseases being accurately recognized,while others demonstrated significant *** system accuracy also showed variable results,underscoring system-specific strengths and *** ChatGPT 4 demonstrates superior reliability in medical dosage information,yet variations across diseases emphasize the need for ongoing *** results highlight AI's potential in aiding healthcare professionals,urging continuous development for dependable accuracy in critical medical situations.

关键词： Dosage calculation Artificial intelligence ChatGPT Drug dosage Healthcare Large language models

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Microbial biodegradation of plastics: Challenges, opportunities, and a critical perspective

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Frontiers of Environmental Science & Engineering 2022年第12期16卷 133-154页

作者： shilpa Nitai Basak Sumer Singh Meena Department of Biotechnology Dr.B.R.Ambedkar National Institute of Technology JalandharPunjab144027India

The abundance of synthetic polymers has increased due to their uncontrolled utilization and disposal in the *** recalcitrant nature of plastics leads to accumulation and saturation in the environment,which is a matter of great *** exponential rise has been reported in plastic pollution during the corona pandemic because of PPE kits,gloves,and face masks made up of single-use *** physicochemical methods have been employed to degrade synthetic polymers,but these methods have limited efficiency and cause the release of hazardous metabolites or by-products in the *** species,isolated from landfills and dumpsites,have utilized plastics as the sole source of carbon,energy,and biomass *** involvement of microbial strains in plastic degradation is evident as a substantial amount of mineralization has been ***,the complete removal of plastic could not be achieved,but it is still effective compared to the preexisting traditional ***,microbial species and the enzymes involved in plastic waste degradation could be utilized as eco-friendly ***,microbial biodegradation approaches have a profound scope to cope with the plastic waste problem in a cost-effective and environmental-friendly ***,microbial degradation can be optimized and combined with physicochemical methods to achieve substantial *** review summarizes the different microbial species,their genes,biochemical pathways,and enzymes involved in plastic biodegradation.

关键词： Plastic-waste Polymers Health-hazards Biodegradation Microorganisms Enzymes

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Explainable Artificial Intelligence-A New Step towards the Trust in Medical Diagnosis with AI Frameworks:A review

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Computer Modeling in Engineering & Sciences 2022年第12期133卷 843-872页

作者： Nilkanth Mukund Deshpande shilpa Gite Biswajeet Pradhan Mazen Ebraheem Assiri Department of Electronics&Telecommunication LavaleSymbiosis Institute of TechnologySymbiosis International(Deemed University)Pune412115India Electronics&Telecommunication Vilad GhatDr.Vithalrao Vikhe Patil College of EngineeringAhmednagarMaharashtra414111India Centre for AdvancedModelling and Geospatial Information Systems(CAMGIS) School of Civil and Environmental EngineeringFaculty of Engineering&ITUniversity of Technology SydneySydney2007Australia Center of Excellence for Climate Change research King Abdulaziz UniversityJeddah21589Saudi Arabia Earth Observation Centre Universiti KebangsaanInstitute of Climate ChangeMalaysiaSelangor43600Malaysia Department of Computer Science LavaleSymbiosis Institute of TechnologySymbiosis International(Deemed University)Pune412115India Symbiosis Center for Applied Artificial Intelligence(SCAAI) LavaleSymbiosis International(Deemed University)Pune412115India

Machine learning(ML)has emerged as a critical enabling tool in the sciences and industry in recent ***’s machine learning algorithms can achieve outstanding performance on an expanding variety of complex tasks-thanks to advancements in technique,the availability of enormous databases,and improved computing *** learning models are at the forefront of this ***,because of their nested nonlinear structure,these strong models are termed as“black boxes,”as they provide no information about how they arrive at their *** a lack of transparencies may be unacceptable in many applications,such as the medical domain.A lot of emphasis has recently been paid to the development of methods for visualizing,explaining,and interpreting deep *** situation is substantially different in safety-critical *** lack of transparency of machine learning techniques may be limiting or even disqualifying issue in this ***,when single bad decisions can endanger human life and health(e.g.,autonomous driving,medical domain)or result in significant monetary losses(e.g.,algorithmic trading),depending on an unintelligible data-driven system may not be an *** lack of transparency is one reason why machine learning in sectors like health is more cautious than in the consumer,e-commerce,or entertainment *** is the term introduced in the preceding *** AImodel’s black box nature will become explainable with these *** in the medical domain,diagnosing a particular disease through AI techniques would be less adapted for commercial *** models’explainable natures will help them commercially in diagnosis decisions in the medical *** paper explores the different frameworks for the explainability of AI models in the medical *** available frameworks are compared with other parameters,and their suitability for medical fields is also discussed.

关键词： Medical imaging explainability artificial intelligence XAI

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A Systematic review of Thermoelectric Peltier Devices: Applications and Limitations

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Fluid Dynamics & Materials Processing 2023年第1期19卷 187-206页

作者： M.K.shilpa Md Abdul raheman Abdul Aabid Muneer Baig r.K.Veeresha Nagesh Kudva Department of Computer Science and Engineering NMAM Institute of TechnologyUdupi574110India Department of Electrical and Electronics Engineering NMAM Institute of TechnologyUdupi574110India Department of Engineering Management College of EngineeringPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Mechanical Engineering NMAM Institute of TechnologyUdupiKarnataka574110India

Conventional refrigeration processes release ammonia and freon into the atmosphere,which results in global *** problems may be overcome by using thermoelectric modules because of the absence of coolants or refrigerants in these ***,the cooling performances of such modules are relatively small in comparison to those of conventional *** this paper,the working principles of thermoelectric modules are discussed together with a review of different relevant aspects,namely:the thermoelectric materials,and their mechanical properties used to build thermoelectric devices,different types of thermoelectric devices available on the market,mathematical modeling of thermoelectric materials,and various applications of thermoelectric materials in different fields.

关键词： TEG peltier module seebeck effect refrigerator CoP TEC

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NADPH oxidase family proteins:signaling dynamics to disease management

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Cellular & Molecular Immunology 2022年第6期19卷 660-686页

作者： rizwana Begum shilpa Thota Abubakar Abdulkadir Gagandeep Kaur Prathyusha Bagam Sanjay Batra Present address:Department of Environmental Medicine University of RochesterSchool of Medicine and DentistryRochesterNY14642USA Laboratory of Pulmonary Immunotoxicology Department of Environmental ToxicologySouthern University and A&M CollegeBaton RougeLA70813USA Present address:Division of Systems Biology National Center for Toxicological ResearchJeffersonAR72079USA

reactive oxygen species(rOS)are pervasive signaling molecules in biological *** humans,a lack of rOS causes chronic and extreme bacterial infections,while uncontrolled release of these factors causes pathologies due to excessive *** phagocytes such as neutrophils(PMNs),eosinophils,monocytes,and macrophages use superoxide-generating NADPH oxidase(NOX)as part of their arsenal of antimicrobial mechanisms to produce high levels of *** is a multisubunit enzyme complex composed of five essential subunits,two of which are localized in the membrane,while three are localized in the *** resting phagocytes,the oxidase complex is unassembled and inactive;however,it becomes activated after cytosolic components translocate to the membrane and are assembled into a functional *** NOX isoforms play a variety of roles in cellular differentiation,development,proliferation,apoptosis,cytoskeletal control,migration,and *** studies have identified NOX as a major contributor to disease pathologies,resulting in a shift in focus on inhibiting the formation of potentially harmful free ***,a better understanding of the molecular mechanisms and the transduction pathways involved in NOX-mediated signaling is essential for the development of new therapeutic agents that minimize the hyperproduction of *** current review provides a thorough overview of the various NOX enzymes and their roles in disease pathophysiology,highlights pharmacological strategies,and discusses the importance of computational modeling for future NOX-related studies.

关键词： NADPH oxidase reactive oxygen species Inflammation Inhibitors In silico

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