bluuebunny/crossref_metadata_2025 huggingface dataset:
Calibração das Condutividades Hidráulicas do Aquífero Missão Velha usando o Método Iterativo do Gradiente Hidráulico
Authors: Lopes Maísa de Calda , Da Silva Cavalcante João , Barbosa Mello Thayna , Cavalcante da Silva Luiz Felipe , Holanda Castro Marco Aurélio
Published: May 2024

Este trabalho analisa a eficiência do Método Iterativo do Gradiente Hidráulico (MIGH) para calibração de modelos numéricos de água subterrânea a partir da modelagem do aquífero Missão Velha localizado ao norte do município de Brejo Santo-CE. O MIGH converge quando a média dos ângulos φ e/ou o valor do RMSEH atingem um valor mínimo predefinido. Na análise foi obtido RMSEH (raiz do erro quadrático médio) de , no qual resultou a condutividade hidráulica máxima de  e valor mínimo de . Estes valores são consistentes com as expectativas para a região estudada. O trabalho conclui que o MIGH demonstra ser um método eficiente e confiável para calibrar a condutividade hidráulica em aquíferos. Adicionalmente, o aplicativo UFC-FLOW mostrou-se como uma ferramenta computacional robusta para a modelagem de fluxo subterrâneo, provando ser essencial na tomada de decisões relacionadas ao planejamento e gestão de recursos hídricos.
Spatiotemporal
Authors: Scussel Cristiane , De Lima Sylvia Christina , De Meneses Mendes Amanda Letícia , Barros Santander Marina , Targino da Silva Ferreira Anderson , Zocche Jairo José , Grohmann Carlos Henrique , Quintanilha José Alberto
Published: May 2024

The exploitation of natural resources is of concern because economic growth results in negative impacts on environmental balance. This study analyzed the spatio-temporal changes in land cover and land use (LULC) in the Araranguá River Watershed (ARW), southern of Santa Catarina state, south Brazil, in the period of 2016-2023. Images from the Sentinel-2A satellite were used, the RGB, NIR and SWIR 1 bands were selected and the EVI2, MNDWI, NDBI indices were applied, which resulted in the selection of eight LULC classes. The orbital images were classified using programming routines in Google Earth Engine (GEE) and validation was performed by obtaining data generated by the platform. The overall accuracy was 93% for both years assessed. The Native Forest class was the most representative and increased by 1.62% in the last seven years. The Built Area class grew the most, and Pasture/Herbaceous Vegetation class decreased by 5.6%. The results revealed slight changes in the landscape, with areas with native forests being maintained and urban expansion occurring. These data can help public policy makers and decision makers to manage the basin territory with a bias towards the conservation and preservation of natural resources.
Keywords: environmental degradation; machine learning; decision trees.
Statistical Study of the Impact of Digitalization of Organizations on Lending Activity: Regional Level
Authors: Zarov I. K.
Published: May 2024

The purpose of research. The increasing rate of Russian economy digitalization has ambiguous proportions by industries and regions. Russian regions are characterized by uneven levels of Internet adoption, as well as organizations applying computer networks, servers and electronic documentation systems. This creates territorial differentiation of opportunities for organizations to use digital services and online platforms created by commercial banks to attract and service loans.Overview and analysis of literary sources have led to the conclusion that quantitative assessment of interplay between digitalization of organizations and their credit activity has not been sufficiently developed at the regional level. The purpose of this study is to develop statistical indexes to assess the impact of digitalization of organizations on their credit activity by Russian regions, and to analyze interdependence of suggested indexes to find out the patterns of such an impact.Methods. The source data array is a set of values of statistical indexes, proposed for the purposes of the study, published by Rosstat. This array is processed by imputation of missing values knn – k nearest neighbors to eliminate missing part of the original data. The tightness of statistical relationship between the analyzed variables was assessed by calculating the paired correlation coefficients. The average and median values of the analyzed effective variables were calculated across several years. The regional distribution by clusters per effective variable values was made using the hierarchical cluster analysis. The impact of factor variables on the effective variables was assessed using the panel regression modelling.Results. Based on the system of regional statistics indexes formed by the author, the territorial peculiarities of the dependence of credit capacity on the factors of digitalization of organizations in groups of Russian regions were analyzed, and the parameters of the “response” of credit capacity indexes to changes in individual technological components of digitalization of organizations in regional clusters were obtained.Conclusion. It was concluded that the results of the study could be used to develop business lending programs for commercial banks and determine the priorities of regional digital development programs by government bodies.
Statistics as an Essential Element of Modern Hybrid Warfares
Authors: Karmanov M. V.
Published: May 2024

The relevance of the study lies in the fact that at present, information flows, often based on “falsification” of data, are having an increasing influence. And statistics act as such a tool.Purpose of the study. The purpose of this paper is to study opinions and approaches to the use of statistics to conduct information wars.Materials and methods. The study examined the main directions of statistics as a tool for working with data. The most common and practically justified is the use of statistics as a tool of knowledge, management, propaganda and control. The result of interpreting statistical data primarily depends on the degree of objectivity and level of literacy of those who work with the data: both at the initial stage of the original data array, and at the stage of explaining the resulting values.Results. It was revealed that the same parameters (proportions) can be interpreted in completely different ways. Such differences arise both from the subjectivity of the perception of these data and from the degree of elaboration of the material. As a result, a field for discrepancies and discussion arises.Conclusion. Statistics have already become an integral component of wars of a new format, where the battle for people’s worldview becomes the basis for further presence in many spheres of life. But with competent, properly structured and timely statistical information, it is possible to suppress falsely generated data and inflict damage on the enemy that significantly exceeds direct military clashes on the battlefield.
Bioactive Compounds from Vicia sativa L. and Vicia monantha Retz. with Unveiling Antiviral Potentials in Newly Green Synthesized CdO Nanoparticles
Authors: Nasr Alyaa , Elshazly Ezzat H. , Slima Dalia F. , Elnosary Mohamed E. , Sadek Ahmed M. , Khamis Mona , Gong Yu , Tian Qian , Gouda Gamal A. , Zhu Guo-Ping
Published: May 2024

Background:

in the current study, a comparative phytochemical analysis was carried
out to explore the phenolic and flavonoid contents in the aerial parts of Vicia sativa L and Vicia
monantha Retz growing in cultivated, reclaimed, and desert habitats.

Methods:

High-performance liquid chromatography (HPLC) was used to detect Vicia methanolic
extracts' individual phenolic and flavonoid constituents. The first-time synthesis of cadmium
oxide nanoparticles (CdO NPs) using the aqueous extract of V. monantha has been developed
using a green approach. Also, the cytotoxicity of V. monantha extract and CdO NPs was examined
using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay for unveiling
them as anti-HAV and anti-AdV.

Results:

Our results indicated that in the case of desert habitat, the contents of total phenolics
(76.37 mg/g) and total flavonoids (65.23 mg/g) of V. monantha were higher than those of V.
sativa (67.35 mg/g and 47.34 mg/g, respectively) and the contents of these secondary metabolites
were even increased in V. monantha collected from reclaimed land (phenolics: 119.77 mg/g,
flavonoids: 88.61 mg/g). Also, V. monantha surpassed V. sativa in the contents of some individual
HPLC constituents, and hence, V. monantha was used to synthesize the green CdO NPs and
subsequent antiviral tests. The average size of CdO NPs was determined to be 24.28 nm, and the
transmission electron microscopy (TEM) images of CdO NPs clearly showed their spherical
form and varying particle sizes, with different diameters in the range of 19–29 nm. MTT assay
was positive to the exposure of CdO NPs in the normal cell line, proposing that CdO NPs can
reduce cell viability. V. monantha extract showed promising antiviral activity against Hepatitis A
virus (HAV) and Adenovirus (AdV) with SI of 16.40 and 10.54. On the other hand, CdO NPs
had poor antiviral activity against HAV with an SI of 4.74 and moderate antiviral activity against
AdV with an SI of 10.54.

Conclusion:

V. monantha is now considered a new, valuable natural resource for phenolics and
flavonoids, especially when grown in reclaimed soil. The green CdO NPs based on V. monantha
extract showed a promising antiviral effect against HAV and AdV.
NLRP3 Inflammasome Triggers Inflammation of Obstructive Sleep
Apnea
Authors: Yangzhong Xiaoting , Hua Shu , Wen Yiqiong , Bi Xiaoqing , Li Min , Zheng Yuanyuan , Sun Shibo
Published: May 2024

Obstructive sleep apnea [OSA] is widespread in the population and affects
as many as one billion people worldwide. OSA is associated with dysfunction of the
brain system that controls breathing, which leads to intermittent hypoxia [IH],
hypercapnia, and oxidative stress [OS]. The number of NOD-like receptor family pyrin
domain-containing [NLRP3] inflammasome was increased after IH, hypercapnia, and
OS. NLRP3 inflammasome is closely related to inflammation. NLRP3 inflammasome
causes a series of inflammatory diseases by activating IL-1β and IL-18. Subsequently,
NLRP3 inflammasome plays an important role in the complications of OSA, including
Type 2 diabetes [T2DM], coronary heart disease [CHD], hypertension,
neuroinflammation, and depression. This review will introduce the basic composition
and structure of the NLRP3 inflammasome and focus on the relationship between the
NLRP3 inflammasome and OSA and OSA complications. We can deeply understand
how NLRP3 inflammasome is strongly associated with OSA and OSA complications.
Modern-Day Therapeutics and Ongoing Clinical Trials against Type 2 Diabetes Mellitus: A Narrative Review
Authors: Tiwari Rohit Kumar , Ahmad Afza , Chadha Muskan , Saha Kingshuk , Verma Harshitha , Borgohain Kalpojit , Shukla Ratnakar
Published: May 2024

Objectives:

Diabetes Mellitus (DM) is a global health concern that affects millions of
people globally. The present review aims to narrate the clinical guidelines and therapeutic interventions
for Type 2 Diabetes Mellitus (T2DM) patients. Furthermore, the present work
summarizes the ongoing phase 1/2/3 and clinical trials against T2DM.

Methods:

A meticulous and comprehensive literature review was performed using various databases,
such as PubMed, MEDLINE, Clinical trials database (https://clinicaltrials.gov/), and
Google Scholar, to include various clinical trials and therapeutic interventions against T2DM.

Results:

Based on our findings, we concluded that most T2DM-associated clinical trials are interventional.
Anti-diabetic therapeutics, including insulin, metformin, Dipeptidyl Peptidase-4
(DPP-4) inhibitors, Glucagon-Like Peptide-1 Receptor Agonists (GLP-1RAs), and Sodium-
Glucose cotransporter-2 (SGLT-2) inhibitors are frontline therapeutics being clinically investigated.
Currently, the therapeutics in phase IV clinical trials are mostly SGLT-2 inhibitors, implicating
their critical contribution to the clinical management of T2DM.

Conclusion:

Despite the success of T2DM treatments, a surge in innovative treatment options
to reduce diabetic consequences and improve glycemic control is currently ongoing. More emphasis
needs to be on exploring novel targeted drug candidates that can offer more sustained
glycemic control.
Pyrazole Paradigms: Unveiling Synthetic Pathways and Unraveling Anti-Cancer Potential
Authors: Kumari Poonam , Agrawal Neetu , Mujwar Somdutt
Published: May 2024

:

This review investigates the synthetic methods and anti-cancer activities of pyrazole
compounds. Various synthetic approaches, including traditional organic synthesis and microwaveassisted
synthesis, have been used to change the pyrazole core structure, resulting in new compounds
with improved pharmacological properties. The paper also covers the mechanisms of action
that underpin pyrazole derivatives' anti-cancer characteristics, focusing on interactions with major
molecular targets implicated in cancer growth and proliferation. SAR insights help to rationally
develop novel anti-cancer drugs. In conclusion, the review emphasizes the versatility of pyrazole
derivatives as scaffolds for the discovery and development of new anti-cancer medicines. By understanding
synthesis routes and unravelling anti-cancer potential, this study hopes to encourage
new research endeavours focused on leveraging the therapeutic advantages of pyrazole paradigms
in the fight against cancer.
Recent Research on Pore Sealing
Authors: Lv Pengxiang , Xu Zhiqiang , Yin Tingting , Dong Qi , Wang Zhen , Xu Jingwen , He Rongguo
Published: May 2024

This patent article underscores the pivotal significance of sealing membrane pores in
augmenting material performance and delves into the foundational principles governing membrane
pore sealing. It thoroughly scrutinizes the evolution of membrane pore sealing technology, with a
particular emphasis on anodization and micro-arc oxidation processes. Methods for sealing membrane
pores are classified into hydration, organic, inorganic techniques, and other approaches to foster
comprehension. Furthermore, the article deliberates on novel techniques for sealing membrane
coatings, assesses their merits and demerits, and proposes enhancement strategies. These endeavors
are geared towards propelling the advancement of membrane pore sealing technology, thereby enhancing
efficiency, sustainability, and multifunctionality.
Speed Sensor-less Control of Induction Motor based on Super-helical
Sliding Mold
Authors: An Xiaoyu , Ren Chenglong , Guo Leilei , Jia Lianhui , Sun Zhihong , Mei Yongxiang , Wang Haoyu
Published: May 2024

Background:

With the continuous progress of technology and the development of shield
enterprises, higher requirements are put forward for speed estimation and system stability in the sensorless
control system of induction motors in shield machines.

Method:

In order to solve the problems of velocity observation error and sliding mode vibration of
the induction motor velocity observation method based on sliding mold observer, an improved superhelical
sliding mold observer is proposed by combining the currently known invention patents and
the information based on the induction motor control.

Result:

The open square of the current error value is introduced into the continuous function of the
sliding variable of the observer, and two different functions are used in the boundary layer to replace
the sign function, which reduces the sliding mode noise and vibration problems, and the stability of
the observer is proved by the Lyapunov stability theory. After that, a phase-locked loop alternative
model-referenced adaptive algorithm is used as the rotational speed observation link, which solves
the problem that the conventional model-referenced adaptive algorithm relies on the current-modeled
magnetic chain observer.

Conclusion:

The improved super-helical sliding mode observer and phase-locked loop control method
effectively reduce the system vibration and speed estimation error of the motor under different
speeds and loading conditions, and the observed currents are smoother, which improves the stability
of the system. Simulation and experimental results under different working conditions show the effectiveness
of the proposed method.
Phytochemicals as Adjuvant Therapies in RND Efflux-mediated Multidrug Resistant Pseudomonas aeruginosa Infections and Evaluation Techniques of Efflux Inhibitory Activities in Bacteria
Authors: Nanjan Praveena , Bose Vanitha
Published: May 2024

:

One of the top-listed opportunistic pathogens that are frequently found in medical devices such as ventilation systems is Pseudomonas aeruginosa. These bacteria often cause infections in the lungs (pneumonia), blood after surgery, and other parts of the body. Extreme susceptibility to P. aeruginosa infection primarily exists in immunosuppressed individuals, and long-term evolution has led to the development of genetic resistance mechanisms that have high genetic flexibility against damaging antibiotics. Several lines of research evidence point to efflux as the primary reason for the organism's effectiveness against antibiotic treat-ment in infections caused by this bacterium. Drug Efflux pumps play a crucial role in medicine because they expulse a variety of unique and unrelated chemical structures with either antibi-otics or antimicrobials before they reach the concentration necessary to kill bacteria, confer-ring multiple resistance to more than one class of antibiotics. Targeting this mechanism for example by blocking the most active efflux pump MexAB-orpM would probably lead to the discovery of new ways to circumvent the bacterial system of antibiotic resistance and boost treatment effectiveness.
Comparative Study of Mechanistic-empirical Structural Design Methods Applied to Sustainable Asphalt Mixtures
Authors: Marina Lorena Cauhape Casaux , Silvia Maria Angelone , Pablo Raffaelli Juan , Fernando Oscar Martínez , Luis Miguel Zorzutti Vinti , Julieta Reano
Published: May 2024

Introduction/ Background

Nowadays, there is a growing interest in achieving sustainable alternatives to conventional flexible pavements. The incorporation of recycled materials into asphalt mixtures has become a departure point. This study focuses on developing sustainable asphalt mixtures incorporating different residues to find a material that performs well on both technical and environmental grounds.

Materials and Methods

Mixtures with recycled materials and others are compared on a pavement structure. A mechanistic-empirical pavement design method is used to carry out analyses in different conditions. A Life Cycle Assessment is conducted to consider the balance of positive and negative environmental aspects of each mixture and pavement structure.

Results

The results indicate that all mixtures with sustainable features have a longer life span and an enhanced performance. They also incur higher impacts per tonne produced. However, the “avoided impact” is considered in their favour.

Discussion

Mixtures with enhanced mechanical properties are key to achieving long-term environmental benefits. The usage of local materials is also essential.

Conclusion

Proving that unconventional mixtures have a satisfactory performance requires innovative, properly calibrated models and a thorough material characterization. Accurately reflecting on their in-service behaviour is key to evaluating the environmental benefits.
Comparative analysis of the course of the perioperative period in patients with diabetes during knee and hip arthroplasties
Authors: Zenkina L.M. , Halushko O.A.
Published: May 2024

Background. Hip and knee arthroplasty (HKA) are common surgical interventions. In more than 20 % of patients undergoing HKA, diabetes mellitus is detected, which is one of the risk factors for the development of periprosthetic infection and the occurrence of complications in the perioperative period. The purpose: to determine the features of the course of the perioperative period in patients with diabetes during knee and hip replacement. Materials and methods. A retrospective analysis was performed of the inpatient charts of 50 people who underwent HKA against the background of concomitant diabetes. All participants were divided into two groups: 1) patients with hip arthroplasty; 2) patients with knee arthroplasty. The course of the intraoperative and postoperative periods and the development of complications were analyzed. Results. All patients were aged from 38 to 86 years, had increased weight (body mass index of 26.0–29.4 kg/m2). Among the complications, hypertension was most common (64.0 and 68.0 % in the groups, respectively), nausea and vomiting (32.0 and 28.0 %, respectively), disturbances in the rhythm and depth of breathing (16.0 and 20.0 % respectively) were often observed. The need for analgesia in the postoperative period was registered in 96.0 and 100.0 % of cases, which indicates its insufficient quality. Other clinical and anamnestic indicators, the course of the perioperative period and the development of complications were similar in patients undergoing both hip and knee replacements (p > 0.05). Conclusions. Clinical and anamnestic data, the spectrum of existing concomitant pathology, characteristics of carbohydrate metabolism and its disorders, features of the course of the perioperative period and detected complications were of the same type in patients regardless of the location of the intervention. There was no significant difference in the studied parameters (p > 0.05). Identified complications and insufficient effectiveness of postoperative analgesia dictates the need to find optimal methods of perioperative analgesia during HKA.
Diagnosis of post-traumatic syndrome: functional-vegetative analysis of sensory systems
Authors: Kokun О.М. , Vizniuk І.М. , Paikush M.A. , Dolynnyi S.S. , Ordatii N.М. , Karimulin R.F.
Published: May 2024

Background. The article analyzes the relationship between emotional states and the psycho-vegetative status of the respondents using functional-vegetative diagnosis, which is important for medical practice. The study was based on the use of functional-vegetative diagnosis, including the analysis of the parameters of the autonomic nervous system, cardiovascular reactivity and other indicators characterizing the psycho-vegetative status of the individual. The purpose: to justify the functional-vegetative diagnosis of sensory systems in the context of the organization of the psychological health of the individual. Materials and methods. The following theoretical methods were used: comparison of existing psychophysiological concepts, structural and genetic analysis of sensory systems, synthesis of theoretical and methodological approaches of the fields of psychophysiology, inductive-deductive approach to the study of the problem. Empirical methods include: measurements according to the functional-vegetative method of V. Makats on the comparison by quantitative signs of the dynamics of each participant in the experiment and comparison of the relative optimal coefficient of vegetative balance and integrated generalization of data in groups with the same initial level of vegetative balance and surveys to determine emotional psychological background on the Izard’s Differential Emotions Scale, according to the results of which an increase in positive emotions and preservation of a moderate level of positive dynamics due to the influence of a psycho-emotional stimulus was recorded. Conclusions. It is noted that the influence of the psycho-emotional factor is a rehabilitation aspect that has a normalizing effect on the sympathetic and parasympathetic nervous systems and functional-vegetative homeostasis. The obtained results open perspectives for further research on diagnosis and correction of mental and physical health.
Oblique projections in the analysis of multislice computed tomography data in gunshot wounds
Authors: Khoroshun E.M. , Makarov V.V. , Nehoduiko V.V. , Yasinskyi O.V. , Sharmazanova O.P. , Pulyaev S.A.
Published: May 2024

Background. The purpose is to determine the place and role of oblique projections in the analysis of multislice computed tomography (MSCT) data in gunshot wounds. Materials and me­thods. More than 3,300 MSCT studies performed in wounded and traumatized patients over a certain period in the Military Medical Clinical Center of the Northern Region of the Medical Forces Command were prospectively studied. All the wounded were male, the average age was 42.1 ± 2.4 years. MSCT of the head, thoracic and abdominal organs, pelvis, and limbs was performed. The frequency of using oblique projections and their informativeness were studied. Results. A prospective study demonstrated that coronal, axial, sagittal projections, and 3D modeling were used in 100 % of cases, and in 21.4 % — oblique projections to improve MSCT results. The distribution by localization of MSCT was as follows: head — 32.9 %, neck — 7.6 %, chest organs — 32.2 %, abdominal organs — 22.3 %, limbs — 5.0 %. MSCT in angiomode was performed in 3.5 % of injured and traumatized patients: head — 27.2 %, neck — 18.4 %, chest organs — 28.9 %, abdominal organs — 23.7 %, limbs — 1.8 %. Oblique projections in MSCT data analysis were used when studying the wound channel in 82.3 % of cases, to improve the visualization of vessels during MSCT in angiomode — in 12.6 % and to improve the visualization of bone fracture lines — in 5.1 %. Conclusions. In the structure of MSCT studies, the head, thoracic organs, abdominal organs, neck, and limbs prevail by localization (in descending order). Oblique projections are used is 1/5 of cases and allow to improve the visualization of the direction of the wound channel, vessels during angiography and lines of flat and long tubular bone fractures.
Blockchain in Real Estate: A Comprehensive Review
Authors: Sharma Mohit , Isah Sheikh , Rana Dr. Sadhana
Published: May 2024

Abstract: This review paper meticulously examines the transformative impact of blockchain technology within the real estate sector. The investigation focuses on the revolutionary changes instigated by blockchain, particularly concerning property ownership and title management. Noteworthy aspects include the establishment of secure ledgers for titles and the integration of smart contracts as pivotal instruments for automating and securing transactions. The insightful examination amplifies to the investigation of tokenization as a component to democratize genuine domain speculations, permitting for fragmentary proprietorship and extending the range of venture opportunities. Critical consideration is devoted to dismembering the productivity picks up characteristic in genuine domain exchanges encouraged by the arrangement of smart contracts. This key execution diminishes dependence on ordinary mediators, streamlining the generally exchange lifecycle. The permanent characteristics of property records on the blockchain are unpredictably inspected, highlighting their urgent part in upgrading information judgment, moderating extortion dangers, and building up an faithful store of solid data. The scholastic investigation amplifies to the application of blockchain in optimizing property administration forms, particularly through the computerized execution of rental understandings.
Water Scarcity Zonation Mapping using MCDM Method in District, NAMCHI, South Sikkim using QGIS
Authors: Devendra Sharma , Anuj Pandey , Seniyana Gurung , Pedenla Bhutia , Wangchuk Sherpa , Sanjok Pradhan , Deepti Manger , Pratham Basnett
Published: May 2024

Abstract: A major worldwide issue, water scarcity has especially serious repercussion like India that have an abundance of water. There are only so many fresh water sources available to meet the growing demand for water brought on by urbanisation, industrialisation, and population expansion, Since the limited water supplies cannot satisfy the population’s needs, a state of water scarcity has resulted. The present research is conducted in CCCT Chisopani, Sikkim, India. Water scarcity is a major issue in the area we selected, the multiple criteria decision making (MCDM) approach will be used in this case study to solve the ranking water scarcity problem, and the next upcoming major problem for water scarcity is the growing population in the study area. Along with the households the area consists of 2 study institutes due to which the population may increase in the coming years effecting the water management. The first step was to conduct a survey in and around the study area by preparing questionnaire including total population of household, highest qualification in the house, storage capacity, tenants, local source, rain water harvesting, hours water received, water fetched manually or not? Type of roofs, distance to perennial source. After collection, the data was evaluated and standardised to guarantee comparability across numerous criteria. Further the study was continued with water scarcity index calculation making it easier to prepare the zonation map for the study area. The MCDM method exhibits how the method can be used against the water scarcity problem. The main focus of the study was to create a scarcity map for the study zone in QGIS using RS&GIS method.
Revolutionizing Disease Prediction with Deep Learning and Predictive Analysis
Authors: Singhania Mr. Gaurav , Maurya Nikhil , Sharma Parth , Bhardwaj Ronit
Published: May 2024

Abstract: The integration of deep learning and predictive analysis has emerged as a powerful tool in the healthcare improvement effort, revolutionizing the process of illness prediction. The purpose of this project is to develop a comprehensive framework that can precisely predict and identify a range of diseases at an early stage using these technologies. Deep learning algorithms are used to uncover complicated patterns and connections that may point to the onset of a disease by evaluating massive datasets that include patient demographics, medical history, genetic data, and environmental factors. The predictive capabilities of these algorithms enable healthcare practitioners to more precisely identify potential health issues, enabling preventive intervention and customized treatment regimens. Moreover, putting this idea into reality promises to improve patient outcomes, substantially reduce healthcare costs, and ultimately alter the landscape of preventative medicine.
Secure Image Sharing: Innovating Encryption and Concealment Methods
Authors: Keshetty Rajeev , Dylin Marineni Tony , Sagar M U Anil , Sayal Dr. Rishi
Published: May 2024

Abstract: Data security techniques, notably concealment of information in encrypted images, play a pivotal role in safeguarding digital assets. Nonetheless, many methods in this domain face challenges in effectively balancing security and embedding capacity. To tackle this issue, we propose a novel approach integrating hybrid coding and Chinese remainder theorem-based secret sharing (CRTSS). Our method employs hybrid coding for concealing data within images, ensuring a robust embedding capacity. Initially, an iterative encryption process encrypts blocks while preserving their spatial correlation. CRTSS is then utilized to distribute these encrypted blocks across multiple shares, ensuring robust security. Leveraging the high geographical correlation within each share, data embedding is performed using the hybrid coding technique, effectively increasing capacity. The proposed method allows for the restoration of the original image without loss, even if some shares are corrupted or missing, as long as enough uncorrupted shares are available. Experimental results indicate superior embedding capacity compared to state-of-the-art techniques, including those relying on secret sharing. We present four variations of the proposed model, comprising two coupled and two separable cases, leading to a high-capacity concealment approach. The efficacy of our approach is demonstrated through experimental validation.
Study on Infrared (IR) Camouflage Using Mylar in the Defense Sector
Authors: Lokhande Vinay S.
Published: May 2024

Abstract: This project investigates the feasibility of utilizing Mylar, a highly reflective polyester film, for infrared (IR) camouflage in the defense sector. Through a comprehensive analysis of Mylar's optical properties, including its reflectivity and reflectance, this study aims to assess the material's potential for reducing thermal signatures and enhancing stealth capabilities of military assets. The research involves theoretical and numerical analysis to evaluate Mylar's performance under various environmental conditions, such as temperature extremes, humidity, and exposure to ultraviolet (UV) radiation. Furthermore, the project explores the integration of Mylar-based IR camouflage into existing defense systems, including vehicle coatings, personnel gear, and tactical equipment. Recommendations for the deployment and optimization of Mylar-based camouflage solutions are provided, addressing factors such as material selection, camouflage design, compatibility with sensor systems, and logistical support. The findings demonstrate Mylar's efficacy in decreasing IR detectability, providing a cost-effective and versatile solution in IR camouflage. This research contributes significantly to the field of defense technology, offering practical insights and paving the way for further advancements in stealth and counter-detection measures in military applications.
Sign Language to Text Conversion
Authors: Patil Deepika , Patil Aniket , Patil Akshay , More Amol , Patil Suraj Shinde
Published: May 2024

Abstract: Sign language, being one of the oldest and most natural forms of communication, serves as a crucial means of expression for individuals with hearing and speech impairments. Deaf and dumb individuals heavily rely on sign language for communication, given their limitations in using spoken languages. In this context, we are introducing a real-time method utilizing neural networks for finger spelling based on American Sign Language (ASL). Automatic human gesture recognition, especially from camera images, has become an intriguing area for developing computer vision applications. Recognizing hand gestures in real-time from camera images can significantly enhance communication for individuals with hearing and speech impairments. The proposed method employs Long Short-Term Memory (LSTM) to recognize hand gestures associated with American Sign Language. Sign language, being one of the oldest and most natural forms of communication, serves as a crucial means of expression for individuals with hearing and speech impairments. Deaf and Hard-of-Hearing (D&H) individuals heavily rely on sign language for communication, given their limitations in using spoken languages. In this context, we are introducing a real-time method utilizing neural networks for finger spelling based on American Sign Language (ASL). Automatic human gesture recognition, especially from camera images, has become an intriguing area for developing computer vision applications. Recognizing hand gestures in real-time from camera images can significantly enhance communication for individuals with hearing and speech impairments. The proposed method employs Long Short-Term Memory (LSTM) to recognize hand gestures associated with American Sign Language. However, the lack of tools that seamlessly connect sign language with spoken language creates barriers in understanding and interaction. The project aims to break down these barriers by providing a real-time solution for the recognition and translation of finger-spelling-based hand gestures
Modifying Expansive Soil Characteristics with Xanthan Biopolymer Integration
Authors: Gupta Pragya , Kumar Ushendra
Published: May 2024

Abstract: Expansive soils pose significant challenges in various engineering projects due to their tendency to swell and shrink with changes in moisture content. Traditional stabilization methods often come with environmental and economic drawbacks. This research paper explores the potential of xanthan biopolymer, a polysaccharide of microbial origin (Xanthomonas Campestris), as a sustainable and effective alternative for altering the engineering properties of expansive soils. Through laboratory experiments and analysis, the paper investigates the influence of xanthan biopolymer on key soil properties such as swelling behaviour, shear strength, and permeability. The findings provide insights into the feasibility and efficacy of using xanthan biopolymer for soil stabilization, offering a promising avenue for sustainable geotechnical engineering practices.
Using a Small Hexapod Robot To Pick Up Large Cylinders for Munitions Response
Authors: Gong Yifeng , Pan Mingyu , Daltorio Kathryn A.
Published: May 2024

In shallow water environments, traditional technologies face
challenges in retrieving unexploded ordnance (UXO). We present an
innovative and safe alternative robotic platform to replace traditional
divers in this dangerous task. A waterproof eighteen-DOF legged robot
MR. Crab has been developed specifically for the purpose of locating and
recovering UXO. Utilizing walking legs for both locomotion and
manipulation, the robot demonstrates the capability to pick up inert UXO
weighing at 2.78kg (half robot’s mass) with one pair of walking legs and
10.5kg (184% of robot’s mass) when utilizing all three pairs of legs.
To enhance our understanding of the gripping capacity, static analysis
was conducted to predict the maximum weight of graspable UXO with
respect to UXO radii. For easier control, a user-friendly GUI had been
built for remote teleoperation. Additionally, an automatic gripping
algorithm was developed to efficiently place the robot in the optimal
gripping position and then grab the inert UXO.
Lacking sex-specific temperature preferences of 9 coexisting temperate sepsid dung fly species (Diptera: Sepsidae)
Authors: Dallo Ramon , Kapun Martin , Blanckenhorn Wolf
Published: May 2024

Many similar sepsid dung fly species coexist on European pastures,
contradicting conventional wisdom of niche theory and competitive
exclusion. We hypothesized that closely-related sepsid species on the
same pasture in Switzerland avoid each other by having different
spatio-temporal microhabitat niche preferences, thus enabling
coexistence. A thermal racetrack experiment in the laboratory tested the
thermal preferences of males and females of 9 coexisting temperate
Sepsis dung fly species from Switzerland at two acclimation
temperatures. The sepsid species investigated here showed no strong
differences in thermal preferences. Flies of all species preferred to
settle at cooler temperatures, and otherwise utilized the entire range
(from 12°C to 30°C) offered for their activities. This was the case for
both sexes, and also for both acclimation temperatures (18°C, 24°C). Our
findings suggest that physiological thermal adaptation or acclimation is
not an important mechanism by which adult sepsid flies avoid
interspecific competition. Our experiment supports previous findings of
widespread sepsid flies lacking local adaptation but high phenotypic
plasticity, again highlighting the necessity of experimentally assessing
putative biological mechanisms facilitating coexistence.
Thermodynamics for 5G technology and energy harvesting and relative topics
Authors: Zhao Lei , Alsolami Abdulrahman , He Ji-Huan
Published: May 2024

5G communication technology has been skyrocketing, and has changed everything
in our daily lives, and its applications in various fields are also
promising. However, the thermal conductivity/dissipation problems of highly
integrated electronic devices and electrical equipment are becoming more and
more prominent, and thermodynamics offers a solution, and fractal
meta-surfaces provides an extremely efficient approach to transfer the
generated waste heat, which can be used for thermal energy harvesting, and
a fractal thermodynamic model is developed for thermal management.
Feasibility of R1234yf/R13I1 mixture refrigerant as replacement of R134A refrigerant in vapor compression system
Authors: Yang Weibing , Meng Zhaofeng , Huo Ziheng , Ding Chuangchuang
Published: May 2024

The performance of a new mixed refrigerant R1234yf/R13I1 with a mass ratio of
90/10 under basic refrigeration cycle and refrigeration cycle with internal
heat exchanger is calculated in comparison with the performance of R134a
under basic refrigeration cycle at different condensation temperature and
evaporation temperature. The results show that R1234yf/R13I1 is virtually
non-flammable with global warming potential of less than 4. Under basic
refrigeration cycle, the compressor power consumption, cooling capacity and
COP of R1234yf/R13I1 are lower than these of R134a by about 4.5%, 9.5%, and
7.5%, respectively. Under refrigeration cycle with internal heat exchanger,
the compressor power consumption, cooling capacity, and COP of
R1234yf/R13I1 are lower than these of R134a by about 2%, 4.5%, and 3%,
respectively. The R1234yf/R13I1 is a beneficial refrigerant of replacing
R134a in vapor compression system.
Biomass analysis of resource utilization system
Authors: Liu Enhai , Guo Zhanghui , Wang Yu , Wei Xiaotong , Li Man
Published: May 2024

This paper uses the biomass of livestock, poultry manure and straw to study
the resource utilization and integration technology by division and
classification. The SPSS regression analysis and integration were applied to
analyze the economic benefits of the base period (2018) and the audit
period (2020). The analysis gives an opportunity in rural areas to reduce
chemical fertilizers, pesticides, electricity and coal cost in planting, and
this paper opens a novel window for utilizing renewable energy resources
and reducing carbon dioxide emissions.
Analysis of the stationary probability density of a generalized and bistable van der Pol system excited by colored noise
Authors: Li Yajie , Wu Zhiqiang , Sun Yongtao , Hao Ying , Zhang Xiangyun , Wang Feng , Shi Heping
Published: May 2024

The stochastic P-bifurcation behavior of bi-stability in a generalized van
der Pol oscillator with the fractional damping under colored noise and
thermal excitation is investigated. Firstly, using the principle of minimal
mean square error and lin-earization method, the non-linear stiffness terms
can be equivalent to a linear stiffness which is a function of the system
amplitude, and the original system is simplified to an equivalent integer
order van der Pol system. Secondly, the system amplitude stationary
probability density function is obtained by the stochastic averaging, and
then based on the singularity theory, the critical parametric con-ditions
for the system amplitude stochastic P-bifurcation are found. Finally, the
types of the stationary probability density function of the system amplitude
are qualitatively analyzed in each area divided by the transition set
curves. The con-sistency between the analytical results and the numerical
results acquired from Monte-Carlo simulation also testifies the theoretical
analysis in this paper and the method used in this paper can directly guide
the design of the fractional order controller to adjust the response of the
system.
Molecular classification guides for the postoperative adjuvant therapy of early-stage endometrial carcinoma
Authors: Peng Yixin , Yang Xingsheng
Published: May 2024

Surgical treatment has been widely used for early-stage endometrial carcinoma
patients, but 15-20% of patients had a poor prognosis, requiring a
postoperative adjuvant therapy. With the development of molecular
classification of endometrial carcinoma, the combination of molecular and
clinicopathological factors can guide the prognosis risk assessment and make
the adjuvant therapy selection more accurate, as a result, the survival
outcome of patients can be greatly improved. In this article, the molecular
classification of endometrial carcinoma is reviewed, and its guidance to the
postoperative adjuvant therapy for early-stage endometrial carcinoma is
discussed. It concludes that the molecular classification opens up the
opportunity of creating new ideas for adjuvant treatment strategies for
early endometrial cancer.
Biomimetic microspheres with rough structure by the geometric potential theory
Authors: Xu Zhen-Zhen , Yang Qin-Qin , Wang Li-Bin , Guan Ming-Qiang , Liu Zhi , Zhao Jiang-Hui
Published: May 2024

Rough structure microspheres developed using electrospinning show many
superior properties, such as increased specific surface area and enhanced
wettability, yielding numerous benefits to the applications in adsorption,
separation, and others. In this study, biomimetic rough microspheres on
string of polymethyl methacrylate nanofiber with hierarchical structure of
micron-scale microsphere, and nanoscale Y-shape edges on the microsphere
were innovatively and success-fully developed by electrospinning. The
resulting microsphere exhibited a steering-wheel-like Y shape, and the
formation process was physically explained by the geometric potential
theory. In the spinning process, irregular hexahedron-like droplet was
firstly formed. Then, the hexahedron-like droplet changed to
tetrahedron-like after the bottom contacted the collector. The
tetrahedron-like droplet evolved into Y-shaped microsphere due to the
geometric potential and the collapse of the center part owing to the
solvent evaporation. Furthermore, similar to the natural lotus leaf, the
hierarchical steering-wheel structure strengthened the nanofiber membrane
roughness and endowed the membrane with superhydro-phobicity, indicating the
potential application in water treatment (oil-water separation, and dye and
heavy metal ion adsorption), functional surface materials (self-cleaning
fabrics), energy generation and other salient areas.
Generalized variational principles for the modified Benjamin-Bona-Mahony equation in the fractal space
Authors: Cao Xiao-Qun , Xie Si-Hang , Leng Hong-Ze , Tian Wen-Long , Yao Jia-Le
Published: May 2024

Because variational principles are very important for some methods to get the
numerical or exact solutions, it is very important to seek explicit
variational formulations for the non-linear PDE. At first, this paper
describes the modified Benjamin-Bona-Mahony equation in fractal porous
media or with irregular boundaries. Then, by designing skillfully the
trial-Lagrange functional, variational principles are successfully
established for the modified Benjamin-Bona-Mahony equation in the fractal
space, respectively. Furthermore, the obtained variational principles are
proved correct by minimizing the functionals with the calculus of
variations.
Accuracy of soy-based resins for dental 3D printing
Authors: Pauls Alexander , Hornberg Antonia
Published: May 2024

Objectives

To verify the accuracy of soy-based resins for dental three-dimensional (3D) printing.

Materials and Methods

After conducting a power analysis, models of 10 consecutively treated patients were produced from four different resins using a dental 3D printer. Two of these resins were soy based and therefore biodegradable. These 20 models were measured manually with a caliper as well as digitally by software and compared based on measurement parameters in all three spatial axes.

Results

No statistically significant differences were found between the four different resins or between the manual and digital measurements.

Conclusions

Soy-based resin seems to be a suitable material for orthodontic 3D printing and is a more environmentally friendly alternative to conventional dental resins. Digital model analysis seems to produce comparable results to manual measurement.