bluuebunny/crossref_metadata_2025_split huggingface dataset:
A mini review and bibliometric analysis of palm oil mill effluent in past five years
Authors: Mohd Pauzi F , Muda K , Basri H F , Omoregie A I , Hong C Y , Aftar Ali N S , Mohamed Najib M Z , Mohd Amin M F , Ismail S , Mohamad Shahimin M F , Dahalan F A 
Published: March 2023

Abstract
Indonesia and Malaysia are countries with the highest palm oil production globally. Indonesia is leading the list, followed by Malaysia and Thailand. Palm oil production generates countless benefits to the economy, environment, and society of the contributed countries. This industry provides high income and collection of methane gas for biogas generation and economy of the local community. However, despite the benefits, this industry has some difficulties, including treating the Palm Oil Mill Effluent (POME). POME contains a complex microbial structure and a high amount of oil, grease, and suspended solids. The existing treatment of POME consists of many drawbacks that lead to poor quality of the effluent and failure to meet the minimum requirement from the Department of Environment (DOE). Advance Oxidization Process (AOP), bio granulation, and ponding system are among the research that have been tried to treat POME. The local government still uses old-style treatment types such as Conventional Activated Sludge (CAS), ponding system, and anaerobic digester tank. This review paper presents a mini review of positive and negative consequences the palm oil industry as well as examine a bibliometric study towards the modern research development of the POME. This mini review concludes that the palm oil industry encourages the positive impact in economy, environment and social to the many parties especially country and local community. Besides that, the existing treatment of the POME have to be improved appropriate with the increment of the demand and era.
Elemental analysis of air-conditioning insulation materials using X-ray fluorescence
Authors: Zainal Abidin A M 
Published: March 2023

Abstract
Way forward in the Twelfth Malaysia Plan 2021-2025 (2021) is towards low carbon growth with strategies, such as transition to circular economy which is one of the focus for the research in using recycled materials as a sustainable alternative to the existing heating, ventilation, and air-conditioning (HVAC) insulation materials. In response to the challenges with regards to the green building materials, the study aims to explore potential sustainable alternative HVAC thermal insulation to the existing insulation materials in the market. Rockwool (fibreglass), open cell nitrile rubber, and open cell polyurethane (PU) foam were tested for the presence of metallic and non-metallic elements, and alkalis by way of X-ray fluorescence spectroscopy. The chemical elements present consist of post-transition metals (Silicone and Aluminium), a range of transition metals (Iron, Zinc, and Copper), halogen (Chlorine), non-metal (Sulphur) and alkali earth (Magnesium and Calcium), which may contribute to the insulation material being non-degradable, thus pose a risk to the environment and human beings. Future research area should focus on the feasibility of integrating with recycled or natural materials to reduce the chemical content.
Hybrid shipyard concept for improving green ship recycling competitiveness
Authors: Zainol I , Siow C L , Ahmad A F , Zoolfakar M R , Ismail N 
Published: March 2023

Abstract
This article presents the concept of a hybrid shipyard, a new idea in shipyard design that integrated ship recycling activity into a conventional shipyard. The essence of this hybrid concept is resource sharing and maximising facility utilisation. This article describes the issues arise in ship recycling yards and related works taken to overcome the problems. It also describes the basic process of each segment and includes the relevant aspects of yard facilities and layout based on the previous literature. Furthermore, the shipyard capacity was analysed to explore the available resources in conventional shipyards to adapt ship recycling. Lastly, this article provides insight into the prospect of the hybrid concept to improve ship recycling yard competitiveness.
The effect of Empty Fruit Bunch (EFB) on mechanical properties to cemented sludge by FCSS method
Authors: Simarmata D C V , Satomi T , Takahashi H 
Published: March 2023

Abstract
A large amount of high-water content sludge is often generated from the landslide phenomenon. The recycling process is necessary to reduce the soil waste and transportation cost. This work demonstrates an experimental scale recycling process by applying fiber-cement stabilized soil (FCSS) method. FCSS method implements the addition of EFB and cement to the sludge for the soil improvement which is expressed in failure strength and hydraulic conductivity. Therefore, the unconfined compression strength (UCS) and permeability test are conducted with a variative amount of EFB, and cement. The water content used in this work is 60 and 100%. Moreover, the effect of EFB length is examined in the UCS test by applying the 10- and 30-mm length. The results show that the increased amount of EFB and cement inclines the failure strength values. As the target value sets to 123 kPa, most mixing conditions in water 60% satisfies the target while the mixing condition with high EFB and cement are above the target in water 100%. In addition, the 30-mm EFB performs better compared to 10-mm. Therefore, the permeability test applies only 30-mm. In contrast, the increased amount of EFB and cement decreases the hydraulic conductivity.
Spatiotemporal changes of green cover pattern in urban areas of Batticaloa, Sri Lanka
Authors: Seevarethnam M , Selvanayagam V , Rusli N 
Published: March 2023

Abstract
Sri Lanka’s cities are subject to varying green cover patterns due to rapid population growth in urban areas. Over the last two decades, urbanization has driven the rampant development of built-up areas, predominantly residential development. As a developing city in Sri Lanka, Batticaloa involves rapid construction development after the civil war. This trend increases pressure on green cover, making the city population more susceptible to urban challenges. This study investigates the spatial and temporal dynamics of green cover changes in selected urban areas in Batticaloa, Sri Lanka, from 2000 to 2020. Three (3) nearby areas were selected for the study, namely Kallady, Arayamapthy, and Kattankudy. ArcGIS Normalized Difference Vegetation Index (NDVI) analysis was used to identify the green cover pattern and changes using Landsat Images. The changing patterns were detected between 2000 - 2010 and 2010 – 2020. The study reveals that the total loss of green cover was high in the first decade, approximately 44.15%, which has slightly increased about 12.58% in the second decade of the selected years. The Kattankudy zone shows a high built-up density, while the Arayampathy zone is low. This pattern has led to the further loss of green cover in the Kattankudy zone, while the other two (2) zones are significantly mixed with the green cover. A significant proportion of the green cover is occupied by the newly built-up areas, mainly residential areas throughout the period. Thus, the green cover conservation should prioritize the built-up expansion to protect the environment. The residential green cover is essential for humans’ daily lives, and one of the most vital mechanisms in the urban green cover system cannot be ignored. This finding can contribute to the land use planning application and make policies to conserve the green cover in the future.
Angioimmunoblastic T-Cell Lymphoma Diagnosed From Serous Effusion by Integration of Cytologic Features and Ancillary Studies
Authors: Li Jinnan , Zhu Xianglan , Deng Xueqin , Zhang Wenyan , Jiang Yong , Wan Yin , Chen Jie , Li Cong , Liu Weiping , Zhao Sha , Su Xueying 
Published: March 2023

AbstractObjectivesTo explore the approach to the diagnosis of malignant serous effusion (SE) caused by angioimmunoblastic T-cell lymphoma (AITL).MethodsThe clinical, cytomorphologic, immunophenotypic, and molecular features of 6 patients were summarized.ResultsClinically, SE caused by AITL was predominant in middle-aged and older male patients with multiple SEs and lymphadenopathy. Cytomorphology showed small to medium-sized, irregular lymphocytes with clear cytoplasm and mixed with various inflammatory cells and apoptosis. Hodgkin/Reed-Sternberg–like cells were detected in 2 of 6 cases. Furthermore, 2 patterns of cytomorphology were described for the first time. Flow cytometry revealed abnormal T-cell populations with loss of surface CD3 (3/4 cases) and CD7 (3/4 cases). In addition, B-cell populations lacking surface immunoglobulin (Ig) were identified in 2 of 4 cases. Immunocytochemical staining revealed expression of at least 2 T follicular helper markers. Epstein-Barr virus–encoded RNA (EBER)–positive cells were demonstrated in 4 of 5 cases. Clonal T-cell receptor γ chain rearrangement was detected in 6 cases, and 3 of them had concomitant clonal immunoglobulin gene rearrangement. Moreover, 2 cases revealed discrepant findings regarding IgH/Igκ rearrangements in cytohistologic correlation.ConclusionsThis study broadens the morphologic spectrum of malignant SE caused by AITL and provides diagnostic criteria in routine practice.
High-Grade B-Cell Lymphoma With Malignant Effusions as the Initial Presentation
Authors: Al-Jumaili Zubaidah , Helen Zhang Y , Wang Wei J , Mai Brenda , Wang Xiaohong I , Ahmed Ahmed , Wang Wei , Hu Shimin , James You M , Hu Zhihong 
Published: March 2023

Abstract

Objectives
Malignant effusion is usually caused by metastatic carcinoma. Malignant lymphoma is often not included as a top differential diagnosis of malignant effusion. Here, we describe 3 cases of young female patients with no significant past medical history who presented with fluid overload and were diagnosed with high-grade B-cell lymphoma (HGBL).

Methods
We conducted histopathologic examination and immunophenotypic and cytogenetic analyses on three cases using immunohistochemistry, flow cytometry, fluorescence in situ hybridization (FISH), and karyotyping. We also included patients’ clinical and radiological findings in our case reports.

Results
Histologic examination of the effusion samples showed numerous intermediate to large lymphoma cells with irregular nuclear contours and fine chromatin. The lymphoma cells were positive for CD10, CD20, BCL2, BCL6, and PAX5 and negative for CD34, cyclin D1, HHV-8, and TdT. In situ hybridization for Epstein-Barr virus (EBV)–encoded small RNAs was negative. The proliferation index by Ki-67 stain was more than 80%. Flow cytometry showed CD10-positive B cells with monotypic immunoglobulin light chain expression. Fluorescence in situ hybridization analysis demonstrated MYC, BCL2, or BCL6 rearrangements. These 3 patients were diagnosed as having HGBL with double-/triple-hit rearrangements. Despite receiving aggressive chemotherapy, all 3 patients had a dismal clinical course, with 2 patients dying less than 2 years after initial diagnosis.

Conclusions
High-grade B-cell lymphoma should be considered in the differential diagnoses of malignant effusions. Flow cytometric and FISH analyses of the body fluid specimens are essential to reach an accurate and timely diagnosis.
Integrated Genomic DNA/RNA Profiling vs Fluorescence in Situ Hybridization in the Detection of MYC and BCL2 (and BCL6) Rearrangements in Large B-Cell Lymphomas: Updates Amid the New WHO Classification of Lymphoid Neoplasms
Authors: de Lima Guido Luiz Paulo , Chapman Jennifer , Cassidy Daniel P 
Published: March 2023

Abstract

Objectives
Large B-cell lymphomas (LBCLs) are a heterogeneous group of lymphoid neoplasms whose molecular and cytogenetic profile has predictive and prognostic implications. The concept of double-hit lymphomas (DHLs) was recently updated in the fifth edition of the World Health Organization classification, with the exclusion of MYC and BCL6 rearranged tumors from the group. Now, DHLs are referred to as diffuse large B-cell lymphoma/high-grade B-cell lymphoma with MYC and BCL2 rearrangements. Fluorescence in situ hybridization (FISH) is the current gold standard for detecting rearrangements in LBCLs, but comprehensive genomic profiling (CGP) has recently been suggested to be at least as accurate as FISH in classifying these neoplasms and providing additional genetic information.

Methods
We analyzed a cohort of 131 patients in whom FISH and CGP studies were performed as part of our normal clinical workflow and compared the effectiveness of FISH and CGP in detecting these clinically relevant rearrangements.

Results
Our findings are in agreement with our previously published study, which analyzed a cohort of 69 patients, supporting our hypothesis that the best approach to maximize detection of DHLs while limiting waste seems to be a combination of CGP and MYC break-apart FISH testing, the latter to capture the presence of non–IGH::MYC events.

Conclusions
Our study supports the combined use of FISH and GCP rather than either method alone to better detect MYC and BCL2 (and BCL6) gene rearrangements.
Validation and Recalibration of the Asbestos Removal Exposure Assessment Tool (AREAT)
Authors: Franken Remy , Schinkel Jody , Spaan Suzanne 
Published: March 2023

Abstract

Objectives
The Asbestos Removal Exposure Assessment Tool (AREAT) was previously developed to estimate exposure to respirable asbestos fibres during abatement processes. The current study describes the validation and recalibration of the AREAT model with external data. During model validation, the AREAT model was expanded to be able to estimate asbestos exposure from an additional source category: ‘unspecified asbestos remnants’.

Methods
The validation dataset (n = 281) was derived from exposure measurement studies where for each exposure measurement the AREAT model parameters were coded and estimates were calculated. Pearson correlation coefficients (r) and intra class correlation coefficients (icc) were calculated as an indication of the agreement between the AREAT estimates and measured concentrations. In addition, the bias and the proportion of measurements with higher concentrations than model estimates were calculated. To expand and investigate model performance on exposure from ‘unspecified asbestos remnants’, a separate dataset was created with measurements collected during working with unspecified asbestos remnants, and similar validation comparisons were performed. Lastly, linear regression techniques were used to investigate possible improvements in model parameters. The model was recalibrated on a combined dataset consisting of the validation dataset and the original calibration dataset to increase model robustness.

Results
The validation comparisons showed good relative agreement (r) between AREAT estimates and measurements (r = 0.73) and a moderate absolute agreement (icc = 0.53). The overall relative bias was 108%, indicating an overall overestimation of exposure, and 4% of the estimated concentrations were higher than the actual measured concentrations. For the data subset concerning unspecified asbestos remnants, a moderate correlation between model estimates and measurement outcomes was found (r = 0.63). However, based on the low number of data in this subset, and moderate r, it was decided that cleaning of unspecified asbestos remnants is out of scope until more data are available. The results of this validation study suggested that two input parameters (product type friable material, efficacy of control measure foam) underestimated exposure. The effects of these parameters were updated to improve model performance. Compared to the original model, the recalibrated model resulted in slightly higher explained variance (62% compared to 56%) and lower uncertainty (15 compared to 17.3).

Conclusion
The original AREAT model provided reliable asbestos exposure estimates with a sufficient level of conservatism taking into account the 90-percentile estimates. The model was further improved via the addition of a new feature and recalibration to predict asbestos exposure during the clean-up of unspecified asbestos remnants.
The Dorsal Nasal Complex in Asians: Anatomical Variations and Injection Guide for Botulinum Toxin Type A
Authors: Sun Yixin , Li Yunzhu , Lu Xiaoyue , Yu Panxi , Jin Lin , Zhang Mengyuan , Xia Zenan , Li Zhijin , Zhu Lin , Wang Hayson Chenyu , Chen Zhen , Zeng Ang , Yu Nanze , Long Xiao 
Published: March 2023

Abstract

Background
Multiple muscles contribute to the formation of dorsal nasal lines (DNLs) and affect nasal aesthetics. Few attempts have been made to explore the range of distribution of DNLs in relation to injection planning.

Objectives
The aim of this study was to classify the distribution types of DNLs and propose a refined injection technique validated by clinical study and cadaver dissection.

Methods
Patients were classified into 4 types according to their DNL distribution type. Botulinum toxin type A injections were administered at 6 regular points and 2 optional points. The effect on wrinkle reduction was assessed. Patient satisfaction was recorded. Cadaver dissection was conducted to explore the anatomical evidence of DNL variation.

Results
The study included 349 treatments in 320 patients (269 females and 51 males), whose DNLs were classified into complex type, horizontal type, oblique type, and vertical type. The severity of DNLs was significantly reduced after treatment. Most patients were satisfied. From the cadaver study, connecting muscular fibers were clearly observed among the muscles involved in the formation of DNLs, and these muscles were collectively named the dorsal nasal complex (DNC) by the authors. Four anatomical variations of the DNC were discovered, corroborating the DNL classification system.

Conclusions
A novel anatomical concept, the DNC, and a classification system for DNLs were proposed. Each of the 4 distribution types of DNLs corresponds to a specific anatomical variation of the DNC. A refined injection technique for DNLs was developed, and its efficacy and safety were demonstrated.
An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis
Authors: Bristy Sadia Afrin , Hossain Md Arju , Hasan Md Imran , Mahmud S M Hasan , Moni Mohammad Ali , Rahman Md Habibur 
Published: March 2023

Abstract
Moraxella catarrhalis is a symbiotic as well as mucosal infection-causing bacterium unique to humans. Currently, it is considered as one of the leading factors of acute middle ear infection in children. As M. catarrhalis is resistant to multiple drugs, the treatment is unsuccessful; therefore, innovative and forward-thinking approaches are required to combat the problem of antimicrobial resistance (AMR). To better comprehend the numerous processes that lead to antibiotic resistance in M. catarrhalis, we have adopted a computational method in this study. From the NCBI-Genome database, we investigated 12 strains of M. catarrhalis. We explored the interaction network comprising 74 antimicrobial-resistant genes found by analyzing M. catarrhalis bacterial strains. Moreover, to elucidate the molecular mechanism of the AMR system, clustering and the functional enrichment analysis were assessed employing AMR gene interactions networks. According to the findings of our assessment, the majority of the genes in the network were involved in antibiotic inactivation; antibiotic target replacement, alteration and antibiotic efflux pump processes. They exhibit resistance to several antibiotics, such as isoniazid, ethionamide, cycloserine, fosfomycin, triclosan, etc. Additionally, rpoB, atpA, fusA, groEL and rpoL have the highest frequency of relevant interactors in the interaction network and are therefore regarded as the hub nodes. These genes can be exploited to create novel medications by serving as possible therapeutic targets. Finally, we believe that our findings could be useful to advance knowledge of the AMR system present in M. catarrhalis.
Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis
Authors: Bao Jingxuan , Chang Changgee , Zhang Qiyiwen , Saykin Andrew J , Shen Li , Long Qi ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: March 2023

AbstractMotivationWith the rapid development of modern technologies, massive data are available for the systematic study of Alzheimer’s disease (AD). Though many existing AD studies mainly focus on single-modality omics data, multi-omics datasets can provide a more comprehensive understanding of AD. To bridge this gap, we proposed a novel structural Bayesian factor analysis framework (SBFA) to extract the information shared by multi-omics data through the aggregation of genotyping data, gene expression data, neuroimaging phenotypes and prior biological network knowledge. Our approach can extract common information shared by different modalities and encourage biologically related features to be selected, guiding future AD research in a biologically meaningful way.MethodOur SBFA model decomposes the mean parameters of the data into a sparse factor loading matrix and a factor matrix, where the factor matrix represents the common information extracted from multi-omics and imaging data. Our framework is designed to incorporate prior biological network information. Our simulation study demonstrated that our proposed SBFA framework could achieve the best performance compared with the other state-of-the-art factor-analysis-based integrative analysis methods.ResultsWe apply our proposed SBFA model together with several state-of-the-art factor analysis models to extract the latent common information from genotyping, gene expression and brain imaging data simultaneously from the ADNI biobank database. The latent information is then used to predict the functional activities questionnaire score, an important measurement for diagnosis of AD quantifying subjects’ abilities in daily life. Our SBFA model shows the best prediction performance compared with the other factor analysis models.AvailabilityCode are publicly available at https://github.com/JingxuanBao/SBFA.Contactqlong@upenn.edu
Divergent roles of sirtuin 1 in human granulosa-lutein cells: similarities to human chorionic gonadotropin
Authors: Meidan Rina , Szymanska Magdalena 
Published: March 2023

Abstract
Sirtuin 1 (SIRT1) is a nicotinamide adenine dinucleotide–dependent deacetylase that modifies gene expression through histone deacetylation. It also deacetylates nonhistone substrates, e.g., tumor suppressor p53, NOS3, HIF1A, NFKB, FOXO3a, PGC-1α, and PPARγ. Consequently, it regulates a wide range of physiological functions including cell cycle control, energy expenditure, oxidative stress response, apoptosis, and aging. SIRT1 is expressed in ovarian granulosa cells (GCs) of various species including humans at different stages of the reproductive cycle. The importance of SIRT1 in female reproduction is supported by the findings that SIRT1-knockout mice exhibit defects in reproductive tissue development. These mice were found to have a thin-walled uterus, small ovaries, with follicles present but no corpora lutea. This review aims to provide state-of-the-art information on SIRT1’s mode of action and its roles in human granulosa-lutein cells and GCs from other species where data are available. It also discusses the overlapping actions of SIRT1 and human chorionic gonadotropin on the production of critical GC-borne factors.