Single Type Research Articles

Behavioral verification and risk factors of HIV cross-population transmission in China: analysis of national surveillance data 1989–2022

IntroductionThe dynamic HIV/AIDS epidemic significantly impacts China, particularly affecting injection drug users (IDUs), former plasma donors (FPDs), men who have sex with men (MSM), and those engaging in high-risk heterosexual behavior (HRHB). This study specifically focuses on identifying the risk factors and influences that drive the spread of HIV among these population groups by performing a comprehensive analysis of contact histories of individuals diagnosed with HIV.MethodsData for this research were gathered from China’s HIV/AIDS Comprehensive Response Information Management System (CRIMS). Contact histories were described using bar and venn diagram. Trend in engaging in HBRB among MSM were identify potential change using the Cochran-Armitage test. Logistic regression was employed to analyze the factors influencing HBRB in MSM.ResultsFrom 1989 through to 2022, a total of 1,457,218 individuals aged 15 years or older in China, who reported being infected with HIV, indicated they had one or more types of contact histories including injecting drug use, male homosexual behavior, commercial plasma donation, and high-risk heterosexual behavior. Among these, 97.0% reported a single type of contact history, while 3.0% reported having multiple contact histories. Of those with multiple contact histories, 98.0% (42,258 individuals) had engaged in HRHB. Among all HIV-infected IDUs, MSM, and FPDs, their respective proportions of engagement in HRHB were 11.8%, 5.7% and 6.2%. Prior to 2012, most were reported to be IDUs; however, subsequent to this, most reported being MSM. Factors that heightened the risk of engaging in HRHB among HIV-infected MSM included being of age between 25–34 years [adjusted odds ratio (AOR) = 1.29] or 35–44 years (AOR = 1.22), marital status such as being married (AOR = 1.23) or being divorced/widowed (AOR = 1.17), belonging to an ethnic minority (AOR = 1.29), receiving diagnosis in hospitals (AOR = 1.81), residing in rural areas (AOR = 1.12), among others. However, the risk of HRHB decreased when age ≥ 55 years (55–64 years: AOR = 0.82; ≥ 65 years: AOR = 0.64).ConclusionThe potential for HIV transmission among diverse populations is substantial. As such, it is imperative that strategies are implemented to mitigate the propagation of HIV to the general populace via heterosexual intercourse.

‘RISDM‘: species distribution modelling from multiple data sources in R

Species distribution models (SDMs) are usually based on a single data type, such as presence‐only (PO), presence‐absence (PA) or abundance (AA). Results from SDMs using single sources of data will suffer from inherent biases and limitations to that data type. For example, PO data contain sampling‐bias and PA/AA data are often less expansive and more sparse. Integrated SDMs (ISDMs) combine multiple data types and have recently emerged as a way to leverage strengths and minimise weaknesses of the different data types. They pose a common (distribution) model and separate observation models for each of the data types. The ‘RISDM' package for the R environment (www.r‐project.org) provides access to this modelling framework using functions for preparation, fitting, interpreting and diagnosing models. The functionality of the package is demonstrated here using synthetic data sets.

Beyond regional endogenous and firm-centric accounts: Contextualizing multiple and multiscalar industrial branching mechanisms for the emergence of biotechnology industries in Guangzhou, China

Industrial branching proposed by evolutionary economic geographers exhibits robustness in illustrating the spatial emergence of new industries in regions. However, extant studies are primarily confined to a single type of industrial branching mechanism, such as spin-off or firm diversification, and biasedly equate them as regional endogenous and firm-centric processes, regardless of wider contextual embeddedness. Therefore, this paper seeks to take into account the contribution of multiple and multiscalar industrial branching mechanisms embedded in industrial nature and territorial contexts to emerging industries in regions, with a particular case study of biotechnology industries in Guangzhou, China. The emergence of biotechnology industries in Guangzhou during 1978–2019 is characterized by an overall fluctuating trend and recent remarkable expansion in the 2010s. The emerging process is driven by the combination of spin-off, start-up, and firm diversification, sourcing from actors across multilevel geographical scales (e.g., urban, regional, national, global). Multiple and multiscalar industrial branching mechanisms are rendered by the spatiotemporally contingent articulations among micro-level firm motivations, meso-level industrial nature, and macro-level territorial contexts, which is encapsulated in Guangzhou's strategic position in China's economic reform and opening-up in a gradual manner and Guangzhou's latecomer position in biotechnology development and industrialization. With an emphasis on moving beyond regional endogenous and firm-centric accounts, this paper aims to articulate actor-specific motivations with industrial and territorial embeddedness to gain a multilayered and context-sensitive understanding of the emergence of new industries in regions.

Analysis of the materials and processes of hanging sculptures in Guanyin Hall

Changzhi Guanyin Hall, a folk temple from the Ming Dynasty, embodies the essence of the ‘unity of the three religions’ philosophy, centred around Guanyin Bodhisattva. Over 500 sculptures reside within a modest 70 m2 space, encompassing representations from Confucianism, Buddhism and Taoism. Ranging from a towering 2 m to a mere 10 cm, these sculptures depict an array of characters and mythological scenes, bestowing considerable importance upon the painted sculptures of Guanyin Hall. Varying degrees of deterioration have affected these sculptures due to the passage of time and suboptimal preservation conditions, highlighting the imperative need for meticulous restoration efforts. However, the absence of comprehensive analyses pertaining to the production process of Guanyin Hall sculptures has hindered the restoration groundwork. This study focuses on fallen hanging sculptures and debris, encompassing intact sculptures, clay fragments, wooden sticks, plant fibres, wires and pigments. Employing a series of techniques, including X-ray photography, microscopic analysis, mineral analysis (MLA), laser particle size testing, ion chromatography, X-ray fluorescence spectroscopy (XRF), X-ray diffractometer (XRD) and energy dispersive spectrometer (SEM–EDS) analysis, this research characterises the constituent materials used in crafting these artifacts. Instead of a full-body skeleton, the findings reveal that the small hanging sculpture is supported by delicate wires that hold specific areas, such as the arms and the gown hems. The hanging sculptures are made from a single type of clay and are reinforced with either mulberry bast or wheat straw fibres. A Pinaceae wood stick affixes the head to the body, and the sculpture is then suspended on the wall through nails inserted into the feet. The moulded clay undergoes a sequence of carving, drying and polishing and is coated with a white ash layer before receiving intricate painting. Mineral pigments, including cinnabar, red lead, iron red, cerussite, atacamite, brochantite and azurite, adorn the surface of the sculptures, with gold foil embellishing the golden elements. The intricate artisanry and multifaceted material composition of Guanyin Hall’s painted sculptures render them unparalleled artistic treasures, not solely within Shanxi but across the entire nation. Furthermore, this study establishes a dependable foundation for conservation and restoration endeavours.

Enzymatic Assembly of Diverse Lactone Structures: An Intramolecular C-H Functionalization Strategy.

Lactones are cyclic esters with extensive applications in materials science, medicinal chemistry, and the food and perfume industries. Nature's strategy for the synthesis of many lactones found in natural products always relies on a single type of retrosynthetic strategy, a C-O bond disconnection. Here, we describe a set of laboratory-engineered enzymes that use a new-to-nature C-C bond-forming strategy to assemble diverse lactone structures. These engineered "carbene transferases" catalyze intramolecular carbene insertions into benzylic or allylic C-H bonds, which allow for the synthesis of lactones with different ring sizes and ring scaffolds from simple starting materials. Starting from a serine-ligated cytochrome P450 variant previously engineered for other carbene-transfer activities, directed evolution generated a variant P411-LAS-5247, which exhibits a high activity for constructing a five-membered ε-lactone, lactam, and cyclic ketone products (up to 5600 total turnovers (TTN) and >99% enantiomeric excess (ee)). Further engineering led to variants P411-LAS-5249 and P411-LAS-5264, which deliver six-membered δ-lactones and seven-membered ε-lactones, respectively, overcoming the thermodynamically unfavorable ring strain associated with these products compared to the γ-lactones. This new carbene-transfer activity was further extended to the synthesis of complex lactone scaffolds based on fused, bridged, and spiro rings. The enzymatic platform developed here complements natural biosynthetic strategies for lactone assembly and expands the structural diversity of lactones accessible through C-H functionalization.

Hierarchical Porous Aerogels With Multiple Adsorptive Interactions for Dye Wastewater Purification.

Aerogels present a huge potential for removing organic dyes from printing and dyeing wastewater (PDW). However, the preparation of aerogels with multiple dye adsorption capabilities remains a challenge, as many existing aerogels are limited to adsorbing only a single type of dye. Herein, a composite aerogel (CG/T-rGO) with the addition of carboxymethyl chitosan, gelatin and tannic acid reduced graphene oxide (T-rGO) was synthesized by freeze-drying technology. The electrostatic interactions between dye molecular and GEL/CMCS (CG) networks, as well as the supramolecular interactions (H-bonds, electrostatic interactions and π-π stacks) between T-rGO, have endowed the aerogel with the ability to adsorb multiple types of dye, such as methylene blue (MB) and methyl orange (MO). Results exhibited that the prepared CG/T-rGO aerogel possessed strong mechanical strength and a porous 3D network structure with a porosity of 96.33 %. Using MB and MO as adsorbates, the adsorption capacity (88.2 mg/g and 66.6 mg/g, respectively) and the mechanism of the CG/T-rGO aerogel were investigated. The adsorption processes of aerogel for MB and MO were shown to follow the pseudo-second-order kinetic model and Langmuir isotherm model, indicating the chemical adsorption of a monolayer. The proposed aerogel in this work has promising prospects for dye removal from PDW.

Single domain von Willebrand factor type C "cytokines" and the regulation of the stress/immune response in insects.

The single domain von Willebrand factor type C (SVWC) appears in small secreted peptides that are arthropod-specific and are produced following environmental stress or pathogen exposure. Most research has focused on proteins with SVWC domain that are induced after virus infection and are hypothesized to function as "cytokines" to regulate the innate immune response. The expansion of SVWC genes in insect species indicates that many other functions remain to be discovered. Research in shrimp has elucidated the adaptability of Vago-like peptides in the innate immune response against bacteria, fungi and viruses after activation by Jak-STAT and/or Toll/Imd pathways in which they can act as pathogen-recognition receptors or cytokine-like signaling molecules. SVWC factors also appear in scorpion venoms and tick saliva, underlining their versatility to acquire new functions. This review discusses the discovery and function of SVWC peptides from insects to crustaceans and chelicerates and reveals the enormous gaps in knowledge that remain to be filled to understand this enigmatic group of secreted peptides.

The Comparison of Lithium Carbonate Recovered from Single Type and Unknown Mixed Type of Lithium-Ion Batteries through a Simple Way Carbonated Water Leaching

Lithium is a rare earth element, but it is important in LIB manufacturing. Spent LIBs is a potential source of lithium. The research aim was to recover lithium from spent LiNCA and mixed LIBthrough selective leaching using carbonated water. The spent cathode and anode were separated by dismantling and dissolving using NaOH and hot water. The spent cathode was reduced by mixing with 20% spent anode and heating at temperature of 650 oC for 6 hours. The reduced cathodes of 25 g were mixed with 250 ml of water and flowed by 2 L/minute of CO2 gas for 150 minutes at ambient temperature. The residue was separated from filtrate. The reduced cathode and residue were examined by XRD and FTIR, while filtrate was heated for evaporating solvent to obtain precipitated Li2CO3. Theprecipitated Li2CO3 was 0,151 g/g of LiNCA and 0,034 g/g of mixed spent cathode. The characteristicsof Li2CO3 recovered from spent LiNCA closed to pure Li2CO3 even above the commercial Li2CO3 and met the requirements as an active precursor material for manufacturing LIB cathodes. Meanwhile Li2CO3 recovered from spent mixed cathode had some impurities and was needed further purification process.

Representation Learning of Biological Concepts: A Systematic Review

Objective: Representation learning in the context of biological concepts involves acquiring their numerical representations through various sources of biological information, such as sequences, interactions, and literature. This study has conducted a comprehensive systematic review by analyzing both quantitative and qualitative data to provide an overview of this field. Methods: Our systematic review involved searching for articles on the representation learning of biological concepts in PubMed and EMBASE databases. Among the 507 articles published between 2015 and 2022, we carefully screened and selected 65 papers for inclusion. We then developed a structured workflow that involved identifying relevant biological concepts and data types, reviewing various representation learning techniques, and evaluating downstream applications for assessing the quality of the learned representations. Results: The primary focus of this review was on the development of numerical representations for gene/DNA/RNA entities. We have found Word2Vec to be the most commonly used method for biological representation learning. Moreover, several studies are increasingly utilizing state-of-the-art large language models to learn numerical representations of biological concepts. We also observed that representations learned from specific sources were typically used for single downstream applications that were relevant to the source. Conclusion: Existing methods for biological representation learning are primarily focused on learning representations from a single data type, with the output being fed into predictive models for downstream applications. Although there have been some studies that have explored the use of multiple data types to improve the performance of learned representations, such research is still relatively scarce. In this systematic review, we have provided a summary of the data types, models, and downstream applications used in this task.

Single Layer Multi-Band Transmissive Type Linear to Circular Polarization Converter With Wide Angular Stability for C-, X-, and Ku-Band Applications

Single Layer Multi-Band Transmissive Type Linear to Circular Polarization Converter With Wide Angular Stability for C-, X-, and Ku-Band Applications

External testing of an established glaucoma screening AI on a glaucoma clinic population from Finland

Purpose: To assess the external performance of an existing deep learning regression model for glaucoma detection (G‐RISK) in a glaucoma clinic population from Finland.Methods: Colour fundus images were retrospectively collected from the Tampere University Hospital (Tays), Finland. Eyes that had a visit in 2019 or 2020 were included based on the availability of ground truth labels. Ground truth labels for glaucoma were obtained through clinical evaluation of the optic nerve head (ONH) from colour fundus photos, clinical evaluation of retinal nerve fibre layer (RNFL) defects from fundus photos imaged with a cobalt filter, and clinical evaluation of the SITA Fast visual field (VF) test. Glaucoma diagnosis at Tays followed the ‘2 out of 3 rule’ recommended by the Finnish Evidence‐Based Guideline for Glaucoma, which requires at least 2 positive indications of glaucoma tests for referral [1]. Preprocessed colour fundus images were used as input to a previously trained deep learning model (G‐RISK) [2]. Performance was evaluated using the area under the receiver operating characteristic curve (AUC), accompanied by 95% confidence intervals. Patient aggregated results were obtained by comparing the maximum of both prediction and ground truth label.Results: Over 3000 patients had at least one ground truth available for a visit in 2019 or 2020. Clinical evaluation of structural features (ONH, RNFL) triggered more glaucomatous symptoms than the SITA Fast VF test. When thresholding the AI prediction against a single ground truth type, the best AUC was obtained on the ONH label (0.90 [0.89–0.91]), followed by RNFL (0.84 [0.83–0.86]) and VF (0.83 [0.81–0.84]). When implementing the 2 out of 3 rule, AUC reached 0.88 [0.82–0.90].Conclusion: The model performed best when using the ONH label and incorporating the ‘2 out of 3 rule’, reaching an AUC of 0.88. These findings suggest that the G‐RISK model could be a valuable tool for screening in clinical practice.

Circularly polarized luminescence and high photoluminescence quantum yields from rigid 5,10-dihydroindeno[2,1-a]indene and 2,2'-dialkoxy-1,1'-binaphthyl conjugates and copolymers.

5,5,10,10-Tetramethyl-5,10-dihydroindeno[2,1-a]indene (COPV1(Me)) was installed into either the 3,3'- or 6,6'-positions of chiral 2,2'-dioctyloxy-1,1'-binaphthyl to afford 2 : 1 conjugates (monomeric compounds) and 1 : 1 copolymers. These compounds showed high photoluminescence quantum yields of >0.95 whilst also exhibiting circular dichroism (CD) and circularly polarized luminescence (CPL). The dissymmetry factors of CPL (gCPL) for the 3,3'- and 6,6'-monomeric compounds in THF were 6.6 × 10-4 and 3.3 × 10-4, respectively. The 3,3'-isomer has a higher g value than the 6,6'-isomer, which was attributed to the difference in the extent of π-conjugation and the angle between electronic and magnetic transition moments. The gCPL values of the 3,3'-linked and 6,6'-linked copolymers were 1.1 × 10-3 and 6.8 × 10-4, respectively. The structural rigidity of the COPV units is beneficial to achieve relatively high g values whilst maintaining a photoluminescence quantum yield that is close to unity by using a single type of fluorophore.

Optimal ordering strategy and budget allocation for the Covid-19 vaccination planning

During the COVID-19 pandemic, the most important thing was to control the overall infection rate. To achieve this goal, social managers can choose to use vaccines with different production cycles and therapeutic effects for epidemic prevention and control under financial budget constraints. In this paper we adopt a two-tier queueing system with reneging to characterize the operation management of COVID-19 vaccine ordering and vaccination, in which a higher–efficacy vaccine queue (HQ) and a lower-efficacy vaccine queue (LQ) are employed to account for two types of vaccines service. In light of this framework, a recursive formula is proposed for deriving the infection rates of residents in both HQ and LQ. Social managers can achieve the lowest total infection rate by selecting appropriate vaccine ordering strategies under fixed service capacity, or by allocating financial budgets reasonably under the investment cost regime. Accordingly, we obtain the socially optimal vaccine ordering strategies and financial budget allocation. Finally, we analyze the sensitivity of various parameters to relevant optimal strategies and discover that utilizing a mixed ordering strategy is socially optimal in most circumstances. However, in some extreme cases, ordering a single type of vaccine (higher- or lower-efficacy) may also result in the lowest societal infection rate.

Comparative Analysis of Type III Radio Bursts and Solar Flares: Spatial Localization and Correlation with Solar Flare Intensity

We present a comprehensive study of type III radio bursts and their association with solar flares of magnitude M1.0 and larger, as observed by four widely separated spacecraft (Parker Solar Probe, Solar Orbiter, STEREO-A, and Wind). Our main focus is the introduction and validation of two methods for localizing radio bursts using the available multispacecraft data. The first method utilizes intensity fitting with a circular Gaussian distribution, while the second method is based on the time arrival of radio bursts. We demonstrate the effectiveness of these methods through the analysis of a single type III burst event and compare their results with the traditional radio triangulation technique. Furthermore, we conduct a statistical study of 17 type III bursts associated with M- and X-class solar flares in years 2020–2022. Our findings suggest a possible correlation between solar flare intensities and longitudes, with east limb flares tending to be weaker than west limb flares. We also observe a systematic drift of radio burst longitudes toward the east, potentially explained by a poleward component of the local density gradient. Our results suggest a strong correlation between solar flare intensities and radio burst properties, enhancing our understanding of the relationship between solar flares and type III radio bursts.

Self-organization of active colloids mediated by chemical interactions.

Self-propelled colloidal particles exhibit rich non-equilibrium phenomena and have promising applications in fields such as drug delivery and self-assembled active materials. Previous experimental and theoretical studies have shown that chemically active colloids that consume or produce a chemical can self-organize into clusters with diverse characteristics depending on the effective phoretic interactions. In this paper, we investigate self-organization in systems with multiple chemical species that undergo a network of reactions and multiple colloidal species that participate in different reactions. Active colloids propelled by complex chemical reactions with potentially nonlinear kinetics can be realized using enzymatic reactions that occur on the surface of enzyme-coated particles. To demonstrate how the self-organizing behavior depends on the chemical reactions active colloids catalyze and their chemical environment, we consider first a single type of colloid undergoing a simple catalytic reaction, and compare this often-studied case with self-organization in binary mixtures of colloids with sequential reactions, and binary mixtures with nonlinear autocatalytic reactions. Our results show that in general active colloids at low particle densities can form localized clusters in the presence of bulk chemical reactions and phoretic attractions. The characteristics of the clusters, however, depend on the reaction kinetics in the bulk and on the particles and phoretic coefficients. With one or two chemical species that only undergo surface reactions, the space for possible self-organizations are limited. By considering the additional system parameters that enter the chemical reaction network involving reactions on the colloids and in the fluid, the design space of colloidal self-organization can be enlarged, leading to a variety of non-equilibrium structures.

Clinical evaluation of 3.0-mm narrow-diameter implants: a retrospective study with up to 5 years of observation.

This study aimed to evaluate the clinical outcomes of a single type of narrow-diameter implant (NDI) by investigating its survival rate and peri-implant marginal bone loss (MBL). In addition, variables possibly related to implant survival and MBL were investigated to identify potential risk factors. The study was conducted as a retrospective study involving 49 patients who had received 3.0-mm diameter TSIII implants (Osstem Implant Co.) at Seoul National University Dental Hospital. In total, 64 implants were included, and dental records and radiographic data were collected from 2017 to 2022. Kaplan-Meier survival curves and a Cox proportional hazard model were used to estimate the implant survival rate and to investigate the effects of age, sex, jaw, implant location, implant length, the stage of surgery, guided bone regeneration, type of implant placement, and the surgeon's proficiency (resident or professor) on implant survival. The MBL of the NDIs was measured, and the factors influencing MBL were evaluated. The mean observation period was 30.5 months (interquartile range, 26.75-45 months), and 6 out of 64 implants failed. The survival rate of the NDIs was 90.6%, and the multivariate Cox regression analysis showed that age was associated with implant failure (hazard ratio, 1.17; 95% confidence interval, 1.04-1.31, P=0.01). The mean MBL was 0.44±0.75 mm, and no factors showed statistically significant associations with greater MBL. NDIs can be considered a primary alternative when standard-diameter implants are unsuitable. However, further studies are required to confirm their long-term stability.

Immunoactivity of a hybrid membrane biosurface on nanoparticles: enhancing interactions with dendritic cells to augment anti-tumor immune responses.

Nano-biointerfaces play a pivotal role in determining the functionality of engineered therapeutic nanoparticles, particularly in the context of designing nanovaccines to effectively activate immune cells for cancer immunotherapy. Unlike involving chemical reactions by conventional surface decorating strategies, cell membrane-coating technology offers a straightforward approach to endow nanoparticles with natural biosurfaces, enabling them to mimic and integrate into the intricate biosystems of the body to interact with specific cells under physiological conditions. In this study, cell membranes, in a hybrid formulation, derived from cancer and activated macrophage cells were found to enhance the interaction of nanoparticles (HMP) with dendritic cells (DCs) and T cells among the mixed immune cells from lymph nodes (LNs), which could be leveraged in the development of nanovaccines for anti-tumor therapy. After loading with an adjuvant (R837), the nanoparticles coated with a hybrid membrane (HMPR) demonstrated effectiveness in priming DCs both in vitro and in vivo, resulting in amplified anti-tumor immune responses compared to those of nanoparticles coated with a single type of membrane or those lacking a membrane coating. The elevated immunoactivity of nanoparticles achieved by incorporating a hybrid membrane biosurface provides us a more profound comprehension of the nano-immune interaction, which may significantly benefit the development of bioactive nanomaterials for advanced therapy.

A Spray Chrysanthemum Cultivar ‘Pinky Lang’ with Pink Petal, Single Type, and Stable Flowering Strategy in High Temperature Period

A Spray Chrysanthemum Cultivar ‘Pinky Lang’ with Pink Petal, Single Type, and Stable Flowering Strategy in High Temperature Period

Penerapan Teknik Token Ekonomi Untuk Mengurangi Perilaku Agresif Siswa di SMA Cokroaminoto Tamalanrea Makassar

The purpose of this study was to find out 1) a description of the aggressi behavior of students at SMA Cokroaminoto Tamalanrea Makassar 2) an overview of the implementation of token economy counseling to reduce student aggression behavior at SMA Cokroaminoto Tamalanrea Makassar 3) The token economy technique reduces the aggressive behavior of students at SMA Cokroaminoto Tamalanrea Makassar. This study used quantitative research with a single subject experimental research type. The subjects of this study were 2 students, who were determined by the target behavior which was measured continuously. Data analysis in this study used descriptive analysis and visual analysis. The results of this study indicate that the level of aggressive behavior of BL and S students before being given treatment is in the high category and after being given treatment is in the low category. 2) The application of economic token strategies for students encompasses a total of seven phases. 3) Implementing the token economy method has the potential to decrease the hostile conduct exhibited by students enrolled at SMA Cokroaminoto Tamalanrea Makassar.
 
 Keywords: Token Economy: Aggressive Behavior

Biomass Utilization for Cement Manufacturing

India generates around 750 million tonnes of agro waste with surplus availability of 230 million tonnes, this huge quantity of biomass can act as a potential resource for energy recovery to the tune of 28 GW of power. The biomass as a raw material for energy generation is encouraged by different government policies. The biomass has to be utilized in a sustainable way for maximum resource re-circulation enhancing circular economy. Although the utilization of biomass for direct energy recovery is encouraged, it has an inherent problem of ash generation. But co-processing of this biomass in cement plant leads to an effective solution as it helps in complete thermal and material recovery without any formation of ash. Pre-processing is not needed for single type of biomass, while for mixed and heterogeneous biomass, preprocessing may be needed similar to the case of industrial wastes in coprocessing. Thus co-processing of biomass in cement plant as an alternative way of addressing the surplus agro waste was studied. A one-year study was carried out at one of the cement plants to analyse the potential of co-processing of agro waste such as rice husk, soya bean agro waste and gram husk in cement kiln. The study based on statistical data revealed operational & environmental sustainability. The economic potential was analysed based on the substitution benefit. The analysis further revealed insignificant impact on parameter like stack emission, clinker quality, leach property and cement property. The findings of study thus revealed the sustainability of co-processing agro waste in cement kilns.