bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of supplementing zilpaterol hydrochloride during different periods on energetics, growth performance, carcass traits and fatty acid profile in meat of finishing lambs
Authors: Robles Juan Carlos , Sánchez-Perez Jaime N. , Portillo-Loera Jesús J. , Contreras-Andrade Ignacio , Figueroa-Saavedra Fernando , Mejía-Delgadillo Mario A. , Molina-Gámez Gamaliel , Dávila Ramos Horacio
Published: March 2024

To determine the effect of adding β2 agonist zilpaterol hydrochloride during different periods on growth performance, dietary energetic, carcass traits and fatty acid profile, forty male lambs Pelibuey × Katahdin (37.70 ± 0.83 kg) were blocked by body weight and randomly assigned to pens. Treatments consisted in: 1) control, no zilpaterol supplementation, 2) zilpaterol supplementation for 20 d (ZIL20), 3) zilpaterol supplementation for 30 d (ZIL30), and 4) zilpaterol supplementation for 40 d (ZIL40). Compared with control treatment, zilpaterol supplementation increased final live weight (FLW) (3.5 %; P = 0.0563), average daily gain (ADG, 14.8 %; P = 0.0598) and gain:feed ratio (10.3 %; P = 0.0324). As well as hot carcass weight (6.1 %; P = 0.0064), dress out percentage (2.6 %; P = 0.0139) and Longissimus dorsi muscle area (13.7 %; P = 0.0015). Compared to control group, zilpaterol increased (P = 0.0413) observed vs. expected dietary of NEm (net energy requirements for maintenance) and NEg (net energy requirements for growth) (5.7 and 8.1 %, respectively). Twenty days of zilpaterol treatment improved FLW (4.4 %, P = 0.0566) and tended to improve ADG (17.4 %, P = 0.0718) when compared to control group. Only intramuscular fat showed a positive linear effect (P = 0.0006) in stearic fatty acids proportion and negative linear effect (P = 0.0585) in araquidonic fatty acid proportion. We conclude that zilpaterol hydrochloride improved variables of growth performance, energy retention and carcass traits with noticeable effects from 20 d of zilpaterol supplementation.
New localities and altitudinal records for the snakes Oxyrhopus petolarius, Spilotes pullatus, and Urotheca fulviceps in Talamanca, Costa Rica
Authors: González-Maya José F. , Cardenal-Porras Josue , Wyatt Sarah A. , Mata-Lorenzen Juan
Published: March 2024

Distribution records are the basis for conservation planning and species conservation assessments. Newlocality and elevation records are reported for 2 dipsadid snakes (Oxyrhopus petolarius and Urotheca fulviceps) and1 colubrid (Spilotes pullatus) from the Talamanca mountain range of Costa Rica as established by direct sightings.These new records represent important additions to the knowledge of the species and more generally for the Talamancaecoregion.
Financial Crisis Prediction and Stock Market Analysis: A Systematic Review
Authors: M Ramsheel
Published: March 2024

Abstract: It is common known that attempting to foresee the movements of the stock market is a huge task that calls for a great lot of focus and concentration. Because of this, precisely predicting stock prices might potentially result in attractive rewards if the necessary decisions are made. This is the reason why this is the case. The non-stationary, noisy, and chaotic data that is accessible makes it difficult to generate correct forecasts about the stock market. This is because accurate predictions are difficult to produce. Because of this, it is difficult for investors to generate accurate forecasts in order to invest their money and earn a return from their investments. Various strategies are developed within the framework of the existing methodologies in order to forecast stock market movements. An overview of research articles arguing for different approaches is the goal of this study. In addition to being great academic publications, these research articles provide calculation methodologies, machine learning algorithms, performance factors, and other information. To address this recognized need, this study attempts to provide a comprehensive and current evaluation of the stock market forecasting approaches now in use. This research will include the categorization, analysis, and comparison of various approaches. In the end, the process of training and testing the model is evaluated using machine learning models. Based on the data, it is abundantly evident that logistic regression is better than any other approach that is presently being used.
Air Quality Index Prediction Using DL
Authors: Pendela Srinivas Rao
Published: March 2024

Abstract: Air pollution emerged as greatest environmental threat to human health and the planet. Occurred due to release of harmful substances like PM2.5, PM10, oxides of nitrogen, carbon and sulphur, ozone, volatile organic compounds etc.. into air by various human activities like vehicle exhaust, agricultural practices, cooking, combustion, burning of fossil fuels, use of air conditioners, refrigerators and other sources adversely effecting climate, ecosystems, health and biodiversity. Assessing and monitoring air pollution levels became obligatory. The current study deals with air pollution data collected from various cities in India over a period of six years (2015-2020). Deep learning models LSTM and GRU are employed to predict the air quality index. The dataset underwent meticulous preprocessing, followed by a sophisticated feature selection process utilizing Principal Component Analysis (PCA). This strategic approach allowed us to discern and isolate the principal pollutants exerting a substantial influence on air quality. The application of LSTM and GRU models for AQI prediction holds great potential in improving our understanding of air pollution dynamics.
Seismic Performance of Offset Irregular Building
Authors: Muqeeth Mohammed Khaja
Published: March 2024

Abstract: Here in this offset irregularity, the vertical members bearing horizontal force are located on other axes rather than its own axes. A 15-storey offset irregular building is modelled in SAP2000 software based on the codal provisions. Then pushover analysis is performed in which spectral displacements and base shears are examined in both X and Y directions. Fragility curves are developed to determine the failure probability of offset irregular building in slight, moderate, extensive and complete damage states.
Predicting Shelf-Life of Fruits: A Multifactorial Approach using Intrinsic and Extrinsic Determinants
Authors: R Sowmiya
Published: March 2024

Abstract: Predicting the shelf life of fruits is crucial for maintaining food freshness and reducing waste in the supply chain. This paper presents a novel approach to predicting fruit shelf life using a combination of fruit characteristics and environmental factors. Firstly, the freshness of fruits is assessed based on their physical attributes such as size, shape, and color. Next, a predictive model is developed to estimate the number of days a fruit remains edible in a given cold storage system, considering temperature variations. The proposed method leverages machine learning techniques to analyze historical data and identify patterns that influence fruit degradation over time. Experimental results demonstrate the effectiveness of the proposed approach in accurately predicting fruit shelf life, thus facilitating better inventory management and reducing food wastage. This research contributes to the optimization of fruit storage practices, ultimately leading to improved food quality and sustainability in the agricultural sector
ECG Classification using Deep Learning
Authors: Atmakuri Vishnu Vardhan
Published: March 2024

Abstract: The importance of ECG categorization has grown significantly, as demonstrated by the many contemporary medical applications that address this issue. A plethora of machine learning (ML) tools are already available for the analysis and classification of ECG data. The primary drawbacks of these machine learning outcomes are the utilization of heuristic handcrafted or manufactured features with shallow feature learning architectures, or the acquisition of numerical data using image processing. The use of CNN, which recognizes and captures specific patterns in images, is one suggested solution for this problem utilizing deep learning architecture. Recurrent neural networks (RNN) and their variant LSTM are advantageous in the ECG classification task due to their implicit capacity to effectively capture temporal dependencies and noise while providing interpretability of hidden states. In contrast to human results, these Deep Learning Techniques yield results about the employment of Recurrent Neural Networks with LSTM layers and Convolutional Neural Networks without any featureengineered procedure and competing classification accuracy
Incorporting Tire Dust in Roadworks
Authors: Mahapatra Dr. Arunima , Raghav M Murali , Vardhan P D Sampath , Reddy B V Durga , Tejaswi K , Dora D Bangaru
Published: March 2024

Abstract: In this study the changes that are incurred in the properties of bitumen upon adding scrap tire dust in it are investigated. The basic properties of bitumen are Ductility, Softening Point and Penetration Value. These values change depending on the grade of bitumen. The objective of this study is to determine the rate of change of basic bituminous properties and other key properties such as Marshall Stability and Flow Rate of Dense Bituminous Macadam due to addition of scrap tire dust in bitumen. Crumb Rubber Modified Bitumen is acquired by adding certain amount of tire dust in bitumen, in this study 10% and 30% of bitumen is replaced with scrap tire dust and their properties are compared with the properties of pure bitumen. Modifying bitumen with scrap tire dust increases the stability, flow rate, penetration value and softening point which makes it more resistant to loading and temperature. Incorporating scrap tire dust in roadworks also helps in reducing the overall volume of waste tires. Scrap tires are often a breeding place for mosquitoes as tires contain huge concentration of carbon. Burning of tires leads to even greater hazards. So, through modifying bitumen with tire dust we can prevent harm to environment and enhance the properties of Bitumen
MedEase+ - A Healthcare System
Authors: Vamsi D , Kaleema Shaik , Priyanka Varikallu , Tutu P Y Rajkamal
Published: March 2024

Abstract: India is a very populous nation, recently surpassing China and Russia. According to the World Health Organization data from 2019, India had approximately 1.45 doctors per 1,000 people. Due to this difference in ratio, the issues related to soft flow of hospital management are on inclining graph. Therefore, the introduction of project MedEase+ comes into light. The purpose of this project is to implement a proper healthcare management system integrating all the basic functionalities powered by an Artificial Intelligent chat bot that is capable of having a very organic conversation with the user and solving their queries using knowledge base. The knowledge base is a collection of real-time data that is pre-processed using bag of words to prepare it for additional processing. The data is collected in a JSON format where Natural Language Understanding (NLU) comes into picture. The chat bot has the ability to offer navigation links based on the user's requests. Moreover, it has the ability to suggest seeking medical advice or taking any necessary instant action. And it also offers diagnostics information in advance. Furthermore, this project provides a robust web application using Django framework to carry out the functionalities and services of both hospital administration and user engagement.
Machine Learning Based Classification Model for Prediction of Bank Loan Approval
Authors: SK Sameerunnisa , M.N.V Sai Rama Harsha , K Tarun Teja , V Swathi K. , K.T.V Manikanta
Published: March 2024

Abstract: In this paper we creating and testing a smart loan prediction system using a special type of classifier called gradient boosting. Our methodology is meticulously laid out, covering a spectrum of essential stages including data pre-processing methodologies, in-depth exploratory analysis, and rigorous model training leveraging a dataset meticulously curated from Kaggle. Our model, with 300 estimators, a learning rate of 0.05, and a maximum of six features, achieves an astounding 98.03% accuracy. We utilize the pickle module to serialize our trained model, consequently deploying it as a web application. This application, which is powered by React for the front end and Flask for the back end, offers users a simple interface for entering loan application details and receiving real-time forecasts on loan acceptance or denial. Our research shows that gradient boosting classified the well in predicting the loans to the users.
Identifikasi Keterampilan Proses Sains Peserta Didik Kelas XI Pada Materi Dinamika Gerak Lurus
Authors: Oktavia Sri Wina , Astalini Astalini , Kurniawan Dwi Agus
Published: March 2024

Tujuan penelitian ini yaitu untuk mengidentifikasi keterampilan proses sains peserta didik kelas XI pada materi dinamika gerak lurus. Metode yang digunakan yaitu metode kuantitatif dengan jenis penelitian yaitu deskriptif. Populasi penelitian merupakan seluruh peserta didik kelas XI dari SMA Negeri Se-Kecamatan Alam Barajo. Dengan teknik pengambilan sampel purposive sampling maka didapatkan sampel penelitian ini yaitu peserta didik kelas XI F5 dan peserta didik kelas XI F4. Instrumen yang digunakan berupa lembar observasi untuk mengukur keterampilan proses sains dengan skala likert. Teknik analisis data yang akan dilakukan berdasarkan statistik deskriptif untuk memperoleh nilai interval, mean, median, min, max. Hasil penelitian keterampilan proses sains peserta didik materi dinamika gerak lurus di kelas XI F4 dalam kategori baik dengan persentase 61,1%, sedangkan keterampilan proses sains peserta didik materi dinamika gerak lurus di kelas XI F5 dalam kategori baik dengan persentase 56,2%. Berdasarkan penelitian yang telah dilakukan dapat disimpulkan bahwa keterampilan proses sains peserta didik materi dinamika gerak lurus di kelas XI SMAN 11 Kota Jambi sedikit lebih unggul dari kelas XI SMAN 12 Kota Jambi.
Identifikasi Kemampuan Literasi Digital Siswa Pada Pembelajaran IPA
Authors: Qoidah Nikma Nur , Astalini Astalini , Kurniawan Dwi Agus
Published: March 2024

Tujuan dari penelitian ini adalah untuk mengidentifikasi bagaimana kemampuan literasi digital siswa pada pembelajaran IPA. Metode yang digunakan pada penelitian ini adalah kuantitatif deskriptif. Peneliti menggunakan metode purposive sampling untuk mengambil sampel. Sampel penelitian terdiri dari siswa kelas VII SMPN 17 Batanghari dan SMPN 33 Batanghari dengan 32 siswa dari masing-masing sekolah. Instrumen penelitian yang digunakan pada penelitian ini berupa lembar angket, dan analisis data dilakukan menggunakan metode statistik deskriptif. Hasil penelitian ini menunjukkan bahwa kemampuan literasi digital siswa di SMPN 33 Batanghari menunjukkan hasil dalam â€œsangat setujuâ€ dengan persentase 6,25%, kategori â€œsetujuâ€ dengan persentase 93,75%, kategori â€œtidak setujuâ€ dengan persentase 0%, kategori â€œsangat tidak setujuâ€ dengan persentase 0%. Sedangkan di SMPN 17 Batanghari, menunjukan hasil dalam kategori â€œsangat setujuâ€ dengan persentase 18,75%, kategori â€œsetujuâ€ dengan persentase 59,38%, kategori â€œtidak setujuâ€ dengan persentase 18,75%, dan kategori â€œsangat tidak setujuâ€ dengan persentase 3,13%. Sehingga dapat disimpulkan SMPN 33 Batanghari lebih unggul dibandingkan SMPN 17 Batanghari dalam indikator kemampuan literasi digital siswa.
Analisis Kemampuan Pemecahan Masalah Peserta Didik Pada Materi Fluida Dinamis di SMA Swasta Kota Jambi
Authors: Sinaga Feliza Paramitha , Darmaji Darmaji , Kurniawan Dwi Agus
Published: March 2024

Kemampuan pemecahan masalah merupakan salah satu bagian dari kemampuan berpikir tingkat tinggi (HOTS). Penelitian ini bertujuan untuk menganalisis kemampuan pemecahan masalah peserta didik kelas XI pada materi fluida dinamis di SMA Swasta Kota Jambi. Penelitian ini dilakukan dengan menggunakan metode penelitian kuantitatif dan desain penelitian yaitu survey. Desain ini dipilih karena peneliti hanya melakukan pengambilan data sebanyak 1 kali pertemuan terhadap sampel yang terlibat. Teknik pengambilan sampel yang dilakukan adalah purposive sampling dan mandapatkan sampel sebanyak 146 orang dari 2 sekolah swasta yang berbeda. Instrumen yang digunakan sebagai alat pengumpulan data yaitu berupa soal esai sebanyak 8 soal. Setelah data didapat, akan dianalisis berdasarkan statistik deskriptif. Hasil yang diperoleh yaitu kemampuan pemecahan masalah di SMA Swasta Xaverius 1 Kota Jambi unggul dibandingkan SMA Swasta Adhyaksa 1 Kota Jambi. Keterbatasan dari penelitian ini dilihat dari desain penelitian yang hanya sebatas survey dan dilakukan satu kali, sehingga tidak adanya tindakan dalam melakukan peningkatan untuk kemampuan pemecahan masalah peserta didik.
Identification of soil properties influencing primary productivity of fish ponds under red and lateritic soil zones
Authors:   Department of Botany, Polba Mahavidyalaya, Polba-712 148, India, Banerjee A. , Chattopadhyay G.N. ,   School of Agriculture, Seacom Skills University, Kendradangal-731 236, India
Published: March 2024

Aim: The present study aimed to identify the key soil factors influencing the primary productivity of water in the fish ponds situated under low productive red and lateritic soil zones. Methodology: General properties of fish pond soils (n=42) from different red and lateritic soil zones of West Bengal, India were determined along with the gross primary productivity (GPP) values of corresponding pond waters. All the soil properties were correlated with GPP values and the soil factors which were significantly correlated with GPP of pond water were further used for step down regression analysis with regard to GPP.This helped to develop a minimum data set of the key soil factors which showed maximum influence on GPP. The efficiency of the regression equation, generated with the critical soil parameters, in predicting the GPP values of other ponds was also assessed through a study on the variations in calculated and on-farm GPP values of eight fish ponds. Results: Among all the studied soil properties, pH and availability of three major nutrients viz. N, P and K were observed to contribute 84.15% variations in gross production of primary fish food organisms in these pond environment. Of these 4 soil properties, again, pH and available P values of the pond soils appeared to be more important. A regression equation was also developed to predict the GPP of such pond water using soil pH and available P values only. This equation showed a precision range of 83.0 to 99.7% and was found to be statistically at par with the GPP values observed under actual pond condition. Interpretation: High efficiency in predictability of pond GPP values using the minimum data set of two key soil factors viz. soil pH and available P indicates that proper management of these productivity attributing soil properties will be particularly helpful to improve the primary productivity levels of the predominantly low yielding fish ponds under the red and lateritic soil zones. Key words: Fish ponds, Minimum data set, Productivity attributes, Red and lateritic soil zones, Soil factors
Socio-ecological system of the mountainous region: A case study from Georgia
Authors:   Department of Geography of Georgia and Landscape Planning, Tbilisi State University, 0179, Tbilisi, Georgia, Elizbarashvili N. , Pilauri T. ,   Department of Geography of Georgia and Landscape Planning, Tbilisi State University, 0179, Tbilisi, Georgia, Elizbarashvili R. ,   Department of Geography of Georgia and Landscape Planning, Tbilisi State University, 0179, Tbilisi, Georgia, Grigolia L. ,   Department of Geography of Georgia and Landscape Planning, Tbilisi State University, 0179, Tbilisi, Georgia, Sandodze G. ,   Department of Geography of Georgia and Landscape Planning, Tbilisi State University, 0179, Tbilisi, Georgia, Abramishvili S. ,   Department of Geography of Georgia and Landscape Planning, Tbilisi State University, 0179, Tbilisi, Georgia, Bubashvili L. ,   Department of Geography of Georgia and Landscape Planning, Tbilisi State University, 0179, Tbilisi, Georgia
Published: March 2024

Aim: The research aim to study the change to characteristics of the socio-ecological system of the mountain regions of Georgia. Methodology: Research methods included geographic, cartographic, ecosystem, and landscape research methodology, landscape-ecological analysis and synthesis methods, and social-ecological systems concepts. Results: The results showed the following: Ecological characteristics of medium and high mountain natural landscapes and ecosystems within the Central Caucasus (Georgia's historical-geographical province of Pshav-Khevsureti); Main forms of cultural landscape, their economic and social values of the mountain region; Environmental protection of the local population, ethics and environmental history and the ecological, economic, and social culture of the population of the mountain region. Interpretation: In the mountainous regions of Georgia, there is a high potential for creating cultural landscapes, based on the results of the long-term and effective interdependence of man and nature. Cultural landscapes, depending on their importance, will further increase the sustainability of the socio-ecological system of mountainous regions. Key words: Cultural landscape, Ecological culture, Georgia, Mountainous regions, Socio-ecological syste
Microplastic contamination in the Chanthaburi estuarine ecosystem, Eastern part of Thailand
Authors:   Department of Environmental Science, Faculty of Science and Technology, Rambhai Barni Rajabhat University, Chanthaburi-22000, Thailand, Potipat J. , Srimoon R. ,   Department of Applied Science and Biotechnology, Faculty of Agro-Industrial Technology, Rajamangala University of Technology Tawan-Ok, Chanthaburi Campus, Chanthaburi-22000, Thailand, Mekprayoon S. ,   Department of Chemistry, Faculty of Science and Technology, Rambhai Barni Rajabhat University, Chanthaburi-22000, Thailand
Published: March 2024

Aim: The prevalence of plastic particles has become a global crisis for the environment pollution and human life. This study aimed to investigate the contamination of microplastics (MPs) in marine environments and to determine the relationships between MPs pollution and types of land use. Methodology: Two invertebrate species (Anadara granosa and Litopenaeus vannamei) and sediment samples were collected for the analysis of MPs accumulation in the Chanthaburi estuarine ecosystem. The microplastics contamination and pollution were determined with visual identification and environmental index, respectively. The abundance and the land use type of MPs in Chanthaburi Province were compared by a Geographic Information System (GIS). Results: The MPs contamination in the white shrimps were higher than the cockles. The black filamentous type of MPs was a major characteristic which ranged between 0.43–0.85 mm, 0.45–0.65 mm and 1.25 – 3.05 mm in A. granosa, L. vannamei and sediment, respectively. The MPs pollution index (PLI and BCF) showed low levels in the hazardous category. The Chanthaburi land use analysis showed variation in the land use change and a strong correlation between green areas and the MPs contamination. Interpretation: The statistical analysis suggested differences between MPs abundance in our samples.The utilization of agriculture and forest land use types could relieve the impact of MPs accumulation.This study also demonstrated the need for managing MPs pollution in Thai marine ecosystems. Key words: Anadara granosa, Chanthaburi, Estuarine ecosystem, Litopenaeus vannamei, Microplastics
Exploring the correlation between environmental pesticide exposure and antioxidant level in recently diagnosed cancer patients
Authors:   Faculty of Allied Health Sciences, Mahayogi Gorakhnath University Gorakhpur, Gorakhpur-273 007, India, Ojha A. , Sahani P. ,   Deapartment of Biotechnology, Deen Dayal Upadhyay Gorakhpur University, Gorakhpur-273 009, India, Shekhar S. ,   Department of Radiotherapy, All India Institute of Medical Sciences, Gorakhpur-273 008, India, Mishra S.K. ,   Deapartment of Biotechnology, Deen Dayal Upadhyay Gorakhpur University, Gorakhpur-273 009, India
Published: March 2024

Aim: Within biological systems thiol and ascorbic acid are important antioxidant that play roles in the antioxidant defense systems. In this study, we investigated the correlation between environmental pesticide exposure and antioxidant level in recently diagnosed cancer patients. Methodology: Blood samples were collected from 87 participants (48 male and 39 female) including control, gallbladder, blood, and oral cancer patients. Serum total thiol content and antioxidant ascorbic acid levels were measured by biochemical method. We also examined whether there is any correlation between the plasma thiol content and ascorbic acid content in cancer prevention. Results: Analysis indicated that most of the cancer patients belonged to middle age and were mostly non-vegetarian. In the present study, it was found that the total thiol content of cancer pateints was high, while the ascorbic acid content was low in cancer patients as compared to control indicating the role of oxidative stress in cancer development. Interpretation: The present study suggests that pesticide exposure may increase the total thiol content and negatively impact ascorbic acid content in cancer patients. Key words: Antioxidant, Blood cancer, Epidemiology, Gallbladder cancer, Oral cancer, Pesticide
Fraccaro Syndrome (49,XXXXY): Case study in antenatal and postnatal from South Indian patients, an awareness to the human society
Authors:   Department of Biotechnology, Sathyabama Institute of Science and Technology, Chennai-600 119, India, Flora Bai B. , Sujithra A. ,   Department of Cytogenetics, Lifecell International Private Ltd., Chennai-600 127, India, Padhiar C. ,   Department of Biologics, Lifecell International Private Ltd., Chennai-600 127, India, Arjun P. ,   Centre for Applied Research, Institute of Biotechnology, Saveetha Institute of Medical and Technical Sciences, Chennai-602 105, India, Wilson Aruni Santhosh Kumar A. ,   Department of Biotechnology, Amity University, Mumbai-400 070, India,   Musculoskeletal Disease Research Centre, Loma Linda Veterans Affairs, Loma linda-92350 , USA
Published: March 2024

Aim: 49, XXXXY syndrome is a rare chromosomal abnormality with an approximate incidence of 1:85000 – 1:100000. Early diagnosis is important to improve the quality of life of patient. This study was carried out to assess the chromosomal abberations in prenatal and postnatal sample of patients through cytogenetics study. Methodology: Sex chromosomal aneuplodies were performed in both amniotic fluid and peripheral venous blood samples. Cytogenetic studies such as Karyotyping was done in in-vitro culture cells by GTG banded metaphase slides. FISH test was conducted in raw sample to rule out low grade mosaicism and DNA isolated from both the samples to rule out the gain and loss of genes by Chromosomal microarray technique. Results: The two cases performed showed aneuploidy with pentasomy sex chromosomes in Karyotyping in all the metaphase analysed and FISH test resulted with five signals in sex chromosome with four copies of X chromosomes and one copy of Y chromosome in all the cells. There was no loss of genes and only gain of genes in X chromosomes as identified in Chromosomal microarray. Interpretation: Based on the findings, antenatal screening is essential and should not be avoided for any USG findings and biochemical screening. The test should not be limited only to trisomy studies. Extensive studies should be performed to rule out the genetic disorders. Chromosomal aneuploidies can be identified by cytogenetic studies like Karyotyping, FISH and Chromosomal microarray technique. Key words: Aneuploidy, Chromosomal microarray analysis, Cytogenetics, Fraccaro syndrome, Karyotyping, Pentasomy sex chromosome
Embedding blockchain technology in the content management systems to prevent the digital crime of static contents
Authors: K Madhura
Published: March 2024

Content management systems and digital content management systems such
as CMS and DCMS are used to maintain an organization’s database. Overall
content maintenance is managed throughout the data lifecycle. The
process of creating, storing, updating, publishing, maintaining and
disposing of content is managed by DCMS software. Data can be classified
as static data and dynamic data. Static data does not change. Dynamic
data changes frequently. not always. An organization can contain static
and dynamic content. Examples of static content are pdf files, text
documents, excel sheets, etc. An example of dynamic content is a web
page. However, protecting and preventing storage systems from computer
crimes is one of the primary concerns of organizations. No one except
the employees of the organization can access the warehouse. Cache
content should prevent hardening of single-user security. Blockchain
technology is growing rapidly in many industries such as software
industry, medical industry and education. The purpose of the the
research work is to propose how blockchain technology can be used in CMS
to prevent data breach crimes. A multi-level security model is proposed
where the first level of security is provided by cryptography and the
second level is provided by blockchain. Storing content on the
blockchain offers the highest security and once the content is stored on
the blockchain, it cannot be changed. An editing system is essential
software that stores all of an organization’s content and maintains it
over the years. Since the application of blockchain technology is
limited to static content, the research work suggests how to apply
blockchain technology to store an organization’s static content in a
CMS. This is to increase the security of the fixed content store.
Blockchain can be used for static content in CMS storage systems to
prevent unauthorized users from accessing data changes. Therefore, the
goal is to prevent digital data from being stored in the CMS. Accurate
data cannot be stored on the blockchain because storing a large amount
of data requires a large investment. Therefore, only the unique
identifier of the file is stored in the blockchain. The scheme uses the
Ethereum blockchain to generate a unique identifier for each file and
uses the Interplanetary File System (IPFS) to back up content files.
This method provides the highest security for storing static content in
your CMS, as only unique file IDs are stored on the blockchain.
Therefore, theft and falsification of information can be prevented.
Application of microbubble air flotation to harvest Microcystis sp. from agriculture wastewater: the regulation and mechanisms
Authors: liu hui , Ye Jianfeng , Zhu Zhihao , Song Zhaofeng , Xu Huiting , Xu Tianchen
Published: March 2024

The harvesting of microalgae is the main bottleneck of its large-scale
biomass production, and seeking an efficient, green, and low-cost
microalgae harvesting technology is one of the urgent problems to be
solved. Microbubble air flotation has been proved to be an effective
measure, but the generation of the right size of microbubbles and the
mechanism of microbubbles-algal cells attachment are still unclear. In
this study, microbubble air flotation was used as a harvesting method
for Microcystis cultured in agricultural wastewater. The process
mechanism of microbubble air flotation harvesting microalgae in
wastewater was fully revealed from three aspects (the design of bubble
formation, the adhesion law, and the recovery rate of microalgae under
different working conditions). The results show that the length of the
release pipe is the main factor affecting the proportion of microbubbles
with particle size less than 50 μm. In the process of adhesion, when the
particle size of microbubbles is 0.6~1.7 times the size
of Microcystis, the adhesion efficiency of microbubbles to
Microcystis is the highest. Under the conditions of pressure 0.45
MPa, gas-liquid ratio 5% and release pipe length 100 cm, the harvesting
performance of Microcystis was the best. Microbubble air
flotation has better harvesting performance of Microcystis with
higher density. By understanding the mechanism of microbubble flotation,
the technical parameters of microbubble flotation for harvesting energy
microalgae are optimized to provide support for the development of
efficient and low-cost devices and equipment for collecting microalgae.
Outcomes based on histological tumor necrosis and predictive clinical and laboratory parameters for necrosis in children with osteosarcoma treated on a non-High Dose Methotrexate based chemotherapy backbone
Authors: PARAMBIL BADIRA CHERIYALINKAL , Khemani Poonam , Puri Ajay , Gulia Ashish , Prasad Maya , Gollamudi Venkata , Ramadwar Mukta , Rekhi Bharat , Panjwani Poonam , Nayak Prakash , Pruthi Manish , Purandare Nilendu , Janu Amit , Pawar Akash , Adhav Komal , Chinnaswamy Girish , Qureshi Sajid
Published: March 2024

1 Background Histopathological response to
neoadjuvant-chemotherapy(NACT) measured as tumor necrosis(TN) has been
reported to be prognostic of outcomes post HDMTX- based chemotherapy. We
studied outcomes based on different cut-offs of TN and delineated
clinical-laboratory parameters predictive of TN on a non-HDMTX
chemotherapy backbone. 2 Materials and Methods Children
≤15years, with osteosarcoma treated on OGS-2012 protocol and surgery
post-NACT from January 2013-December 2020 were retrospectively analysed.
TN was reported as percentage necrosis. Kaplan-Meier, log-rank,
Pearson’s Chi-square tests were used. 3 Results Analysis was
done in 258 patients. Median age-12years(range,3-15years), M:F-1.7:1.
Amputation was performed in 20.1%. Median TN was 94%. At a median
follow-up of 38months(range,34-45months), 3year Event Free Survival(EFS)
and Overall Survival(OS) of the whole cohort were 56.1%(SE,3.3%) and
87.8%(SE,2.4%). For entire cohort, TN-70%(29.3%vs60.7%), 90%
(38.7%vs69.0%), 100%(50.8%vs84.1%), were prognostic for
EFS(p=0.0001), while TN-90%(80.3%vs92.9%,p=0.006) and
100%(85.5%vs97.7%,p=0.023) were prognostic for OS. For localized
disease, TN-70%(35.4%vs 66.4%), 90%(41.6%vs77.0%),
100%(54.8%vs96.2%) were prognostic for EFS(p=0.0001), and
OS(p=0.0001). For metastatic disease, TN-70% was prognostic for
EFS(16.6%vs50.1%,p=0.0047). Receptor-Operator Curve derived cut-off of
85.5%TN for EFS, 83.5%TN for OS prognosticated whole and localized
cohorts the best. For metastatic cohort, 84.5%TN best prognosticated
EFS. Among clinical-laboratory parameters, male gender(OR:1.9,p=0.01),
amputation (OR:2.1,p=0.014) had a higher risk of <90%TN.
4 Conclusions Tumor necrosis at 90% cut-off in localized
disease is prognostic of survival on a non-HDMTX based backbone, though
best outcomes are seen with 100%TN, but 70%TN and other cut-offs
require further exploration. A lower cut-off of 70%(or other) in
metastatic disease could be used for prognostication. Amputation, male
gender predicts poor histological necrosis.
A Deep Model-Based Channel Interference Mitigation for OTFS Signals in ISAC Systems
Authors: Qi Wanbin , Wang Wenming , Zhang Ronghui , Zhou Wenkai
Published: March 2024

In recent years, Orthogonal Time Frequency Space Modulation (OTFS) has
gained popularity in integrated sensing and communications (ISAC) system
due to its robustness against Doppler offset and delay changes.
Traditional pilot-based methods for accurate channel parameter
estimation are complex and struggle with rapidly changing channel
conditions. In this letter, we propose a deep encode-decode network
(DED-Net). It uses DL to automatically learn and eliminate channel
interference from OTFS signals. The framework employs a deep encoding
and decoding network, similar to a filter, learning complex signal
features to effectively remove interference. Our experiments demonstrate
DED-Net’s ability to eliminate interference in OTFS modulation signals,
offering an alternative to pilot-based methods and showcasing DL’s
potential for ISAC systems.
Identification of metabolic biomarkers in atrial fibrillation patients via the integrated application of proteomics and metabolomics
Authors: Chao Xiao-ying , Xu Yun-jing , Zhang Hong , Xing Na , Shu Chi , Chanda Francis , Chaurembo Abdallah , Zhang Hui-juan , Huang Jian-yuan , Fu Li-dan , Zhong Guo-qiang , Lin Han-bin , Lin Kai-xuan
Published: March 2024

Atrial fibrillation (AF) is a prevalent clinical arrhythmia
characterized by an irregular cardiac rhythm, increasing the risk of
developing stroke and heart failure. In order to explore the potential
role of serum indicators, the study employed a combination of targeted
metabolomics and Tandem Mass Tag (TMT) based proteomics to examine
metabolic characteristics and biomarkers in the serum of patients with
AF. Furthermore, the verification of protein expressions with diagnostic
significance for AF was conducted in patients of larger sample sizes by
ELISA. Proteomics and metabolomics identified 174 differentially
expressed proteins (DEPs) and 294 differentially metabolites (DMs) in AF
patients, respectively. The clustering and functional enrichment
analysis identified the complement and coagulation cascade as the
primary pathway dysregulating DEPs. According to the integrated study,
the most enriched proteomics and metabolomics pathways were platelet
activation and cholesterol metabolism. lactate dehydrogenase A (LDHA),
lactate dehydrogenase B (LDHB), and transgelin 2 (TAGLN2) were
significantly expressed in AF patients, while plasminogen (PLG) was low.
In conclusion, the current study found that platelet activation,
cholesterol metabolism, and the complement and coagulation cascade
pathways may affect AF progression. The study also showed that LDHA,
LDHB, TAGLN2, and PLG may be potential AF biomarkers.
Adopting Multicriteria Decision Analysis in Local Health Settings: A Literature Review for Hospital Value Analysis Decision Makers
Authors: Miller Aaron , Lo Margret , Grantcharov Teodor
Published: March 2024

Introduction: Hospital value analysis teams aim to scope,
appraise, and procure the most cost and clinically effective
alternatives, but many rely on deliberative processes and lack the use
of evaluation frameworks. Multi-criteria decision analysis can
complement these processes through the provision of systematic,
transparent, and empirical decision support. This literature review aims
to understand the applications of MCDA in local contexts.
Methods: Medline (OVID), EMBASE, CINAHL, PsycINFO, and Scopus
were searched, and returned 2,246 studies, of which 110 were included
for full-text review, and 17 were included in the final analysis. Data
relating to the context in which the study was conducted, the
composition of the MCDA model used, and the reported feasibility of the
use of MCDA were extracted. Results: The use of MCDA for local
healthcare contexts is a recent, interprofessional, and geographically
agnostic phenomenon. Diagnostics, treatment, surgical approaches,
performances and preferences, education approaches, and recovery targets
were the primary decision problems addressed. A combination of models
was employed, and qualitative data, literature review, expert opinion,
and financial measurements were used to support data requirements.
Facilitating reasoning and decision-making, service quality improvement,
transparency, flexibility and adaptability, participation and buy in,
and feedback about MCDA were identified as key adoption characteristics.
Conclusion: MCDA has numerous emerging applications to support
healthcare decision makers across different decision problems and to
evaluate products and processes in local settings. This review provides
considerations for uptake and implementation, though further
investigation into its explicit applications to hospital and
perioperative value analysis is necessary to elicit the usability,
feasibility, and acceptability of these models.
Parental Control and Autonomy Support as Predictors of Filial Behaviors in Emerging Adults: The Mediating Role of Filial Closeness
Authors: Javaid Maryam
Published: March 2024

The paradigm shift of intergenerational relationships demands
investigation into parenting practices as determinants of emerging adult
behaviors. The current study examined whether Pakistani emerging adults’
perceptions of parental autonomy support and control predict their
filial behaviors and whether filial closeness explains this
relationship. 218 university students (Mage = 20.73, SD = 1.48, 52.3%
male) from Islamabad, Pakistan, recruited through convenience sampling,
completed measures of perceived parental behaviors, filial behaviors,
and filial closeness. Mediation analysis using PROCESS by Hayes was
conducted to find that filial closeness partially and fully explains the
relationship between autonomy support and control, respectively, with
filial behaviors. Therefore, parental autonomy support and control lead
to significant changes in perceived closeness by Pakistani emerging
adults which determine the care they provide to parents. The findings
direct focus on programs and policies targeted towards parents to
promote healthy family dynamics by regulating parental control and
autonomy supportive behaviors.
Mindfulness-Based Stress Reduction for Posttraumatic Stress Disorder Symptoms, emotional exhaustion and coping styles of Emergency Nurses: A Randomized Clinical Trial
Authors: Sun Wei , Yuan Yuan , Wang Yushu , Shao Yanxia , Zeng Dongmei , Peng Yu
Published: March 2024

Background: Post-traumatic stress disorder (PTSD) is one of the
most prevalent mental health issues among emergency nurses, particularly
in the aftermath of the COVID-19 pandemic. However, there is a scarcity
of empirical studies on improving PTSD and related symptoms.
Objective: To investigate the effectiveness of the
mindfulness-based stress reduction (MBSR) program in reducing PTSD
symptoms, emotional exhaustion, and coping styles among emergency
nurses. Methods: A randomized clinical trial was conducted with
74 emergency nurses experiencing symptoms of PTSD who were recruited
from two hospitals. Participants were randomly assigned to either the
intervention group (n=38) or the comparison group (n=36) using a random
number calculation procedure. The intervention group received an 8-week
MBSR program, while the comparison group had the option to receive the
same training upon completion of the study. Self-reported data on
mindfulness, PTSD symptoms, emotional exhaustion, and coping styles were
evaluated at baseline, after treatment, and 1-month of follow-up.
Results: Participants in the MBSR group showed a significant
improvement in PTSD symptoms (M(I-J)=-7.789, P<0.001,
95% CI=3.642~11.937), emotional exhaustion
(M(I-J)=4.763, P=0.004, 95%CI=1.274~8.253) and
mindfulness (M(I-J)=-7.421, P<0.001,
95%CI=-12.349~2.493) after treatment. These effects
were sustained up to 1-month follow-up. No significant improvement in
coping style was observed in any of the subjects. Conclusion:
MBSR is feasible and effective in reducing symptoms of PTSD and
emotional exhaustion among emergency nurses. However, it has a lesser
effect on coping styles. MBSR has the potential to alleviate the
psychological impact of occupational stress on nurses.
Ciliates in the plankton of the shallow zone of the Rybinsk Reservoir in spring: long-term changes in the community structure and the contribution of ciliates to the formation of the total biomass of the plankton community
Authors: Копылов А.И. , Мыльникова З.М. , Рыбакова И.В. , Заботкина Е.А. , Cоколова Е.А.
Published: March 2024

В весеннем (28.04−16.05.2022) планктоне мелководной зоны Рыбинского водохранилища биомасса крупных хищных инфузорий с симбиотическими водорослями была ниже таковой в периоды конец апреля−май 1971 г. и 1977 г. в 5−8 раз, а их доля в общей биомассе инфузорий уменьшилась с 46.5−47.1% до 8.9%. В то же время в планктоне в 1.8−2.0 раза увеличилась биомасса инфузорий-альгофагов, а их доля в ВИНФ возросла с 15.7−24.5% до 44.6%. В апреле−мае 2022 г. инфузории были основным компонентом планктонного сообщества гетеротрофных организмов и вирусов и в планктонной пищевой сети мелководной зоны водохранилища играли ключевую роль в трансформации органического углерода первичных продуцентов и детрита и передаче вещества и энергии на более высокие трофические уровни.

In spring (April 28‒May16, 2022) plankton of the shallow-water zone of the Rybinsk Reservoir, the biomass of large, predatory ciliates with symbiotic algae was 5‒8 times lower than that in the periods of late April‒May of 1971 and 1977, and their share in the total biomass of ciliates (Bcil) decreased from 46.5−47.1% to 8.9%. At the same time, the biomass of algophagous ciliates in the plankton increased by 1.8−2.0 times and their proportion in Bcil – from 15.7−24.5% to 44.6%. In April‒May 2022, ciliates were the main component of the planktonic community of heterotrophic organisms and viruses. In the planktonic food web of the reservoir shallow zone, they played a key role in the transformation of organic carbon of primary producers and detritus to a higher trophic level.
Phytoplankton as an indicator of the ecosystem state of the Kondopoga Bay of Lake Onego under cage trout farming
Authors: Смирнова В.С. , Теканова Е.В. , Калинкина Н.М.
Published: March 2024

В результате изучения фитопланктона прибрежной и пелагической части Кондопожской губы Онежского озера в районе садковых форелевых хозяйств в 2019 и 2021 гг. выявлены высокие для этого района количественные показатели развития фитопланктона, характеризующие залив как мезо-эвтрофный. Доминантами сообществ по численности являлись диатомеи (до 79%), субдоминантами (до 40%) – цианобактерии и зеленые водоросли. Преобладали индикаторные виды β-мезосапробной зоны, присутствовали полисапробионты. Отмечены потенциально токсичные виды Microcystis aeruginosa (Kütz.) Kütz., Aphanizomenon flos-aquae L. Ralfs., Coelosphaeriumkuetzingianum Näg., Oscillatoria limnetica Lemm. Анализ многолетних изменений фитопланктона показал увеличение количественного развития всех групп фитопланктона, в том числе доминантных видов, в пелагической части губы. Это свидетельствует об эвтрофировании ранее мезотрофного залива вследствие поступления биогенных элементов с отходами форелевых ферм.

Phytoplankton studies in the coastal and pelagic part of the Kondopoga Bay of Lake Onego nearby the cage trout farms (2019, 2021) revealed high quantitative indicators of its development, characterizing the bay as meso-eutrophic. In terms of number, diatoms (up to 79%) were dominant communities, while cyanobacteria and green algae – subdominant (up to 40%). Indicator species of the β-mesosaprobic zone prevailed; polysaprobionts were also present. Potentially toxic species Microcystis aeruginosa (Kütz.) Kütz., Aphanizomenon flos-aquae L. Ralfs., Coelosphaerium kuetzingianum Näg., Oscillatoria limnetica Lemm. were noted. Analysis of long-term dynamics of phytoplankton showed the increasing development of all groups of phytoplankton (including dominant species) in the pelagic part of the bay. This indicates eutrophication of the previously mesotrophic bay due to nutrients supplied with wastes from trout farms.