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International Journal of Digital Earth 2022年第1期15卷 2422-2439页

作者： Zohreh Alijani Julien Meloche Alexander McLaren John Lindsay Alexandre roy Aaron Berg Department of Geography Environment and GeomaticsUniversity of GuelphGuelphCanada Département de Géomatique Appliquée Université de SherbrookeSherbrookeCanada Département des Sciences de l’Environment Université du Québec à Trois-RivièresTrois-RivièresCanada

Surface roughness plays an important role in microwave remote *** the agricultural domain,surface roughness is crucial for soil moisture retrieval methods that use electromagnetic surface scattering or microwave radiative transfer ***,improved characterization of Soil Surface Roughness(SSR)is of considerable *** this study,three approaches,including a standard pin profiler,a LiDAR point cloud generated from an iPhone 12 Pro,and a Structure from Motion(SfM)photogrammetric point cloud,were applied over 24 surface profiles with different roughness variations to measure surface *** objective of this study was to evaluate the capability of smartphone-based LiDAR technology to measure surface roughness parameters and compare the results of this technique with the more common *** showed that the iPhone LiDAR technology,when point cloud data is captured in a fine-resolution mode,has a significant correlation with SfM photogrammetry(R2=0.70)and a relatively close agreement with pin profiler(R2=0.60).However,this accuracy tends to be greater for random surfaces and rough profiles with row structure *** results of this study confirm that smartphone-based LiDAR can be used as a cost-effective,fast,and time-efficient alternative tool for measuring surface roughness,especially for rough,wide,and inaccessible areas.

关键词： LiDAR surface roughness structure from motion iPhone pin profiler

Impact of xenoestrogens on sex differentiation and reproduction in teleosts

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Aquaculture and Fisheries 2022年第5期7卷 562-571页

作者： Brototi roy Reetuparna Basak Umesh Rai Department of Zoology Maitreyi CollegeUniversity of DelhiDelhi110021India Department of Zoology Bhaskaracharya College of Applied SciencesUniversity of DelhiDelhi110075India Department of Zoology University of DelhiDelhi110007India

Among vertebrates,teleosts display a wide array of sex determination and differentiation mechanisms ranging from chromosomal sex determination on one end of the spectrum to environmental sex determination on the other ***,the interplay of both these mechanisms is also not *** gonochoristic fishes exhibit gonadal plasticity often resulting in sex *** major manipulation of sex differentiation in teleost is affected by sex *** this context,the increasing contamination of aquatic ecosystems by estrogen-like compounds,commonly known as xenoestrogens,is of major *** often leads to deleterious effects on the reproductive success of fish and thereby adversely impacts aquatic *** the present review,we have focused on impact of xenoestrogen at different levels of the reproductive system influencing not only gonadal differentiation in teleosts but also their reproductive *** review would also explore the mitigation strategies and regulations in place for aquatic xenoestrogen management.

关键词： Xenoestrogen Teleost Sex differentiation Gonad Intersex Reproduction

A model to determine soiling,shading and thermal losses from PV yield data

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Clean Energy 2022年第2期6卷 372-391页

作者： S.Ghosh J.N.roy C.Chakraborty Advanced Technology Development Centre Indian Institute of Technology Kharagpur721302India Department of Electrical Engineering Indian Institute of Technology Kharagpur721302India

Apart from being a clean source of energy,photovoltaic(PV)power plants are also a source of income generation for its investors and ***,mitigation of system losses is crucial for economic operation of PV *** losses due to soiling,shading and temperature in PV plants go as high as 50%.Much of these losses are unaccounted initially,which can jeopardize the economic viability of PV *** paper aims to provide a model to determine losses due to soiling,shading and temperature using quantities like irradiance,cell temperature,DC power and current,which are readily available in PV yield data captured by the remote monitoring system,without involving any additional sensors or *** this study,soiling,shading and thermal losses were calculated using PV yield data obtained from a 30-kWp PV plant located in Kharagpur,*** results showed soiling and shading losses as high as 25.7%and 9.7%,respectively,in the month of *** loss was verified by measuring transmittance loss of coupon glasses installed in the vicinity of the *** loss was verified by shadow simulation using an architectural tool(SketchUp).Array thermal loss obtained using the proposed methodology was found to be in line with the estimated value obtained from PVsyst ***,using time-series data,the energy losses corresponding to soiling,shading and temperature effects were calculated by a numerical-integration *** monetary loss due to these energy losses thus obtained provides criteria for deciding when to mitigate the sources of these losses.

关键词： solar photovoltaics solar PV plant soiling losses solar shading losses solar PV system losses

Forensic Identification of Four Indian Snake Species Using Single Multiplex Polymerase Chain Reaction

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Journal of Forensic Science and Medicine 2022年第3期8卷 81-87页

作者： Ishani Mitra Soma roy Ikramul Haque Division of Biology Central Forensic Science LaboratoryKolkataWest BengalIndia Office of Director Central Forensic Science LaboratoryChandigarhIndia

Among different endangered animal species,snakes are the most neglected creature looked at with apathy and therefore,are ruthlessly killed,illegally trafficked,and poached for their venom,lucrative skin,meat,and bones for manufacturing of medicines,accessories,and food *** the identity of the endangered snake species is important for punishing the offenders under Wildlife Protection Act(WPA)(1972)but morphological characters fail to establish identity as they are often *** technique of identification of snake species at molecular level holds very effective conclusion in punishing ***,we have constructed and demonstrated a novel multiplexing polymerase chain reaction technique,using 16S rRNA and C-mos gene for identification of four Indian snake species,namely Ptyas mucosa,Daboia russellii,Naja naja,and Xenochrophis *** are listed in Appendix-II and III of convention on international trade in endangered species of wild fauna and flora and Schedule II;Part II of Indian WPA,***,it may be considered a functional tool for establishing species-specific identity of four Indian snake species and promising to be useful for their conservation.

关键词： 16S rRNA C-mos forensic identification Indian snakes multiplex polymerase chain reaction amplification Wildlife Protection Act(1972)

Fabrication of graphene oxide-keratin-chitosan nanocomposite as an adsorbent to remove turbidity from tannery wastewater

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Water Science and Engineering 2023年第2期16卷 184-191页

作者： Kobita roy Thuhin Kumar Dey Mamun Jamal Rajasekar Rathanasamy Moganapriya Chinnasamy MdElias Uddin Department of Leather Engineering Faculty of Mechanical EngineeringKhulna University of Engineering&TechnologyKhulna 9203Bangladesh Department of Chemistry Faculty of Civil EngineeringKhulna University of Engineering&TechnologyKhulna 9203Bangladesh Department of Mechanical Engineering Kongu Engineering CollegeErodeTamilnadu 638052India Department of Mining Engineering Indian Institute of Technology KharagpurWest Bengal 721302India

Excessive turbidity in water is aesthetically unappealing and severely malfunctions the photosynthesis process of aquatic ecosystems. This study aimed to evaluate the effectiveness of a nanocomposite adsorbent made of graphene oxide-keratin-chitosan for removing turbidity from tannery influent. The nanocomposite was fabricated with simple solution casting methods. Material dispersibility, bonding between composite materials (amide linkage), and the surface morphology of the nanocomposite were analyzed with the ultraviolet-visible spectroscopy, Fourier transform infrared spectroscopy, X-ray diffraction, transmission electron microscopy, and scanning electron microscopy. At pH of 6, 2 g/L of adsorbent and a 25-min contact time resulted in about 88% of turbidity elimination. After the adsorption process, the total suspended solids, total dissolved solids, salinity, biochemical oxygen demand, and chemical oxygen demand of the tannery wastewater were reduced by 55%, 29%, 12%, 58%, and 75%, respectively. The optimum dosage of the nanocomposite with the maximum turbidity removal capacity was 12.62 mg/g. According the adsorption kinetic and isotherm models, the graphene oxide-keratin-chitosan nanocomposite played a key role in the turbidity removal process with chemisorption and electrostatic multilayer adsorption. This study provided methodological and mechanistic insights into the procedures of investigating the removal of turbidity from tannery wastewater with a novel composite material.

关键词： Adsorption Chitosan Electrostatic interaction Nanocomposite Wastewater

Fast and accurate machine learning prediction of phonon scattering rates and lattice thermal conductivity

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npj Computational Materials 2023年第1期9卷 1367-1376页

作者： Ziqi Guo Prabudhya roy Chowdhury Zherui Han Yixuan Sun Dudong Feng Guang Lin Xiulin Ruan Department of Mechanical Engineering Purdue UniversityWest Lafayette 47907-2088 INUSA The Birck Nanotechnology Center Purdue UniversityWest Lafayette 47907-2088 INUSA Department of Mathematics Purdue UniversityWest Lafayette 47907-2088 INUSA

Lattice thermal conductivity is important for many applications,but experimental measurements or first principles calculations including three-phonon and four-phonon scattering are expensive or even *** learning approaches that can achieve similar accuracy have been a long-standing open *** recent progress,machine learning models using structural information as descriptors fall short of experimental or first principles *** study presents a machine learning approach that predicts phonon scattering rates and thermal conductivity with experimental and first principles *** success of our approach is enabled by mitigating computational challenges associated with the high skewness of phonon scattering rates and their complex contributions to the total thermal *** learning between different orders of phonon scattering can further improve the model *** surrogates offer up to two orders of magnitude acceleration compared to first principles calculations and would enable large-scale thermal transport informatics.

关键词： spite learning principles

Non-invasive cuffless blood pressure and heart rate monitoring using impedance cardiography

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Intelligent Medicine 2022年第4期2卷 199-208页

作者： Sudipta Ghosh Bhabani Prasad Chattopadhyay Ram Mohan roy Jayanta Mukherjee Manjunatha Mahadevappa Department of Computer Science&Engineering Indian Institute of Technology KharagpurKharagpurWest Bengal 721302India School of Medical Science&Technology Indian Institute of Technology KharagpurKharagpurWest Bengal 721302India Department of Cardiology Medical College&HospitalKolkataWest Bengal 700073India

Background Continuous blood pressure(BP)monitoring provides additional information about how changes in BP may correlate with daily activities and sleep *** from the American Heart Association and American College of Cardiology strongly suggest confirming a diagnosis of hypertension with continuous BP ***-invasive and non-intrusive detection of haemodynamic parameters is emerging as a norm,based on self-monitoring wearable medical *** have carried out several studies using non-invasive and continuous BP measurements as an alternative to conventional cuff-based *** this work,we proposed a novel method for cuffless estimation of BP using impedance cardiography(ICG).Methods We conducted a single-centre,cross-sectional study of 104 subjects(of whom 30 were categorized as controls and the remaining 74 as the disease group)at the Medical College and Hospital,*** disease group consisted of patients with confirmed coronary artery disease,while the individuals in the control group were deemed to be *** subjects underwent electrocardiogram recording by on-duty doctors in order to determine their health status.A custom-made device based on the principle of impedance plethysmography was designed to record impedance changes due to subjects’peripheral blood *** device was used to record ICG *** this study,we developed a novel auto-adaptive algorithm based on ICG signals for non-invasive,cuffless,continuous monitoring of BP and heart *** mathematical models were developed for all the estimated parameters(BP and heart rate)for both the study groups(control and disease).The developed models were auto-adaptive and did not require subject-specific *** indicators including,𝑟2,error percentage,standard deviation,and mean difference were used to quantify the performance of the *** The ICG signal recorded by the device was used to extract features and compute t

关键词： Impedance cardiography Augmentation index Systolic pressure Diastolic pressure Heart rate

Asian Crocodile Poaching:A Review of Molecular Techniques Developed for Forensic Identification

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Journal of Forensic Science and Medicine 2022年第2期8卷 57-61页

作者： Ishani Mitra Soma roy Ikramul Haque Division of Biology Central Forensic Science LaboratoryKolkataWest BengalIndia Office of Director Central Forensic Science LaboratoryChandigarhIndia

Crocodiles,gharials and alligators(order Crocodilia),are aquatic reptiles that live in the tropics of Asia,America,Africa,and *** countries such as India,Indonesia,Malaysia,and tropics of Australia are the stronghold of the family *** all 23 crocodile species,nine species occur in Asia and its surroundings,including the only member of Gavialidae and Alligatoridae *** are“mugger”or“Crocodylus palustris,”“saltwater crocodile”or“Crocodylus porosus,”“Philippine crocodile”or“Crocodylus mindorensis,”“New Guinea crocodile”or“Crocodylus novaeguineae,”“Siamese crocodile”or“Crocodylus siamensis,”“gharials”or“Gavialis gangeticus,”“false gharial”or“Tomistoma schlegelii,”and“Chinese alligator”or“Alligator sinensis.”All of these species have been encompassed in“Appendix I”and“Appendix II”of the“Convention on International Trade in Endangered Species of Wild Fauna and Flora,”which prevents any kind of trade involving crocodilian ***,it has been observed that these crocodiles are illegally poached and trafficked for their lucrative skin,meats,eggs,snouts,and bones in medicinal and cosmetic *** many molecular biologists have come forward for the conservation of these species,lack of knowledge about the available,fast,and dependable techniques makes it difficult for forensic identification of seized or *** has been a major problem for the implementation of the“Wildlife Protection Law”on illegal *** article focuses on molecular techniques developed till date for the rapid and reliable species identification and conservation study of them.

关键词： Convention on International Trade in Endangered Species of Wild Fauna and Flora Crocodilia illegal poaching and trading molecular techniques species identification

Eff-3DPSeg:3D Organ-Level Plant Shoot Segmentation Using Annotation-Efficient Deep Learning

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Plant Phenomics 2023年第3期5卷 626-641页

作者： Liyi Luo Xintong Jiang Yu Yang Eugene roy Antony Samy Mark Lefsrud Valerio Hoyos-Villegas Shangpeng Sun Bioresource Engineering Department McGill UniversityMontrealQCCanada Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan UniversityWuxiJiangsuChina Plant Science Department McGill UniversityMontrealQCCanada

Reliable and automated 3-dimensional(3D)plant shoot segmentation is a core prerequisite for the extraction of plant phenotypic traits at the organ *** deep learning and point clouds can provide effective ways to address the ***,fully supervised deep learning methods require datasets to be point-wise annotated,which is extremely expensive and *** our work,we proposed a novel weakly supervised framework,Eff-3DPSeg,for 3D plant shoot ***,high-resolution point clouds of soybean were reconstructed using a low-cost photogrammetry system,and the Meshlab-based Plant Annotator was developed for plant point cloud ***,a weakly supervised deep learning method was proposed for plant organ *** method contained(a)pretraining a self-supervised network using Viewpoint Bottleneck loss to learn meaningful intrinsic structure representation from the raw point clouds and(b)fine-tuning the pretrained model with about only 0.5%points being annotated to implement plant organ ***,3 phenotypic traits(stem diameter,leaf width,and leaf length)were *** test the generality of the proposed method,the public dataset Pheno4D was included in this *** results showed that the weakly supervised network obtained similar segmentation performance compared with the fully supervised *** method achieved 95.1%,96.6%,95.8%,and 92.2%in the precision,recall,F1 score,and mIoU for stem–leaf segmentation for the soybean dataset and 53%,62.8%,and 70.3%in the AP,AP@25,and AP@50 for leaf instance segmentation for the Pheno4D *** study provides an effective way for characterizing 3D plant architecture,which will become useful for plant breeders to enhance selection *** trained networks are available at https://***/jieyi-one/EFF-3DPSEG.

关键词： Deep Plant weakly

A physics informed bayesian optimization approach for material design: application to NiTi shape memory alloys

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npj Computational Materials 2023年第1期9卷 85-95页

作者： Danial Khatamsaz Raymond Neuberger Arunabha M.roy Sina Hossein Zadeh Richard Otis Raymundo Arróyave Materials Science and Engineering Department Texas A&M UniversityCollege StationTX 77843USA Engineering and Science Directorate Jet Propulsion LaboratoryCalifornia Institute of TechnologyPasadenaCA 91109USA Mechanical Engineering Department Texas A&M UniversityCollege StationTX 77843USA Department of Industrial&Systems Engineering Texas A&M UniversityCollege StationTX 77843USA

The design of materials and identification of optimal processing parameters constitute a complex and challenging task,necessitating efficient utilization of available *** Optimization(BO)has gained popularity in materials design due to its ability to work with minimal ***,many BO-based frameworks predominantly rely on statistical information,in the form of input-output data,and assume black-box objective *** practice,designers often possess knowledge of the underlying physical laws governing a material system,rendering the objective function not entirely black-box,as some information is partially *** this study,we propose a physics-informed BO approach that integrates physics-infused kernels to effectively leverage both statistical and physical information in the decision-making *** demonstrate that this method significantly improves decision-making efficiency and enables more data-efficient *** applicability of this approach is showcased through the design of NiTi shape memory alloys,where the optimal processing parameters are identified to maximize the transformation temperature.

关键词： alloys shape approach