bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhanced Power Allocation Scheme of rain Wireless Access Network based on PD-OMA in 5G
Authors: S Nagarajan , S Yuvaraj , I Poonguzhali , M Vanitha 
Published: September 2022

Abstract

The development of an advanced cellular terminal and wideband application in a mobile network is becoming robust due to its vast capacity, low latency, and high scalability. Edge computing is exceptionally suitable for reducing time delays and improving the nature of network service quality. By Combining rain computing with the wireless access network (WAN) and exploiting edge computing, rain WAN (R-WAN) is expected to be a promising model for advanced wireless networks such as 5G and 6G wireless network architectures. Power domain orthogonal multiple access (PD-OMA) has the possibility of recognize various subscribers whose data are multiplexed by various power factors into the corresponding orthogonal resource and the progressive interference cancellation (PIC) is being used for the detection data at the rain access wireless hub locations. This paper emphasis on the static power allocation of wireless sub channel in PD-OMA and the extension to R-WAN. A six-subscriber multiplexing model is developed on the transmitting side of a PD-OMA multiuser framework model, and a comparable PIC receptor is designed. In addition, a group of static power change elements is characterized by subscriber channel conditions, and an improved fractional send power assignment (E-FSPA) calculation is proposed for PD-OMA and computed to the various subscriber models. The experimental results indicate that EFSPA performs in a way better than the past SPA and FSPA. More specifically, it is possible to find more than one wireless channel power distribution technique performing better than MIMO under similar R-WAN conditions via E-FSPA.
High Payload Image Steganography using DNN Classification and Adaptive Difference Expansion
Authors: Dash Shreela , Behera Dayal Kumar , Swetanisha Subhra , Das Madhabananda 
Published: September 2022

Abstract
The primary goal of this paper is to enhance the capacity while minimizing visual distortion and improving secrecy. To accomplish this task, a novel information concealing approach based on Machine Learning (ML) block classifier is proposed to improve performance. ML techniques are used to classify the blocks of the image using extracted features. The concealing capacity of each block is decided depending on the type of each block. Secret messages are compressed using the Adaptive Huffman encoding method prior to embedding. The proposed model is validated in three cases: performance of the ML classifier, efficiency of embedding method and its robustness. Deep Neural Network (DNN) block classifier exhibits 99% validation accuracy which is significantly better than the logistic regression and random forest classifier. Embedding method using DNN as the block classifier achieved PSNR more than 50 with embedding rate 0.5 bpp. The proposed scheme is robust and sustain
Study of knowledge, attitude and anxiety in Kurdistan-region of Iraqi population during the monkeypox outbreak in 2022: An online cross-sectional study
Authors: Ahmed Sirwan Khalid , Abdulqadirb Salar Omar , Omar Rukhsar Muhammad , Hussein Safin Hassan , M-Amin Halkawt Ismail , Chandran Deepak , Sharma Anil K. , Dhama Kuldeep , Ahmed Zheno Kareem , Essa Rawand Abdulrahman , Abdulla Araz Qadir , Khdir Awat Alla 
Published: September 2022

Abstract
Background
On July 23, the WHO declared the rapidly spreading monkeypox (MPX) epidemic as a Public Health Emergency of International Concern (PHEIC). This study attempted to assess the knowledge, attitude, and anxiety levels of the general population during the MPX outbreak.
Methods
An online cross-sectional survey was conducted during the period July 27 and July 30, 2022, using a convenience sampling method. The questionnaire was adapted and developed after an in-depth review of the previous studies.
Results
A total of 510 respondents participated in this study. 277 (54.3%) were male, 233 (45.7%) were female. Participants had insufficient knowledge of MPX with a mean and SD deviation 2.096 ± 1.359, 2.576 ± 1.466, having a normal attitude toward MPX 4.031 ± 1.645. Moreover, they had anxiety problems 32.382 ± 10.094. There were significant differences in the mean rank scores of the knowledge of respondents about MPX according to their gender, marital status, religion, level of education, and place of residence, with p-values of 0.009, 0.000, 0.000, 0.000, and 0.000, respectively. Also, there were significant differences in the mean rank scores of attitudes of respondents toward MPX according to their gender, level of education, place of residence, and age, with p-values of 0.011, 0.020, and 0.000, 0,029, respectively. Lastly, there were significant differences in the mean rank score of anxiety of respondents toward MPX according to their gender, marital status, religion, level of education, and place of residence, with p-values of 0.000, 0.009, 0.000, 0.000, and 0.000 respectively.
Conclusion
There is an urgent need to raise public awareness and manage people's emotional wellbeing. Taking into account the alarming scenario of rapid rise in MPX cases in many countries, any feasible pandemic probability of this disease amid the ongoing COVID-19 pandemic, proactive control measures, necessary preventive strategies and preparedness plans need to be executed on priority to counteract this global health emergency as well as safeguard the mental health of the general public. Appropriate policies and effectively prevent and control strategies along with disseminating correct information would explicitly help in counteracting MPX outbreaks and avoiding the infodemic's misinformation and disinformations which could pose unwarranted high fears and panic, and ultimately aid in safeguarding the mental health of the people.
Transient hypoglycemia and biochemical differences in infants less than 1250 grams at birth fed human milk with human milk-derived fortifier versus cow’s milk-derived fortifier
Authors: Chang Millie , Tetarbe Manas , Barton Lorayne , Ramanathan Rangasamy , Cayabyab Rowena 
Published: September 2022

Abstract
Objective: Fortification of human milk with either human milk-derived fortifier (HMDF) or cow’s milk-derived fortifier (CMDF) is important in preterm infants. Objective is to compare the incidence of hypoglycemia, and biochemical values in infants less than 1250g at birth fed HMDF versus CMDF.
Study design: Retrospective cohort study on infants less than 1250g at birth who were fed with HMDF or CMDF.
Results: Ninety infants were enrolled. HMDF group had a higher rate of hypoglycemia (46% vs.24%; p=0.048) after achievement of full enteral feeding. The median minimum blood glucose (BG) was lower (61 vs. 71; p=<0.01); while blood urea nitrogen (12 vs. 6; p=<0.01); and albumin (3.1 vs. 2.7; p=<0.01) were higher in HMDF group compared to CMDF.
Conclusions: At full enteral feedings in infants less than 1250g at birth, an HMDF diet may predispose to hypoglycemia needing intervention. Close monitoring of BG levels once off parenteral nutrition is recommended.
Investigating the molecular orientation and mechanical properties characterization of drawn polypropylene fiber with different draw ratios using simulated microinterferograms of double refraction Pluta polarizing fringes
Authors: El-Morsy M A 
Published: September 2022

Abstract
Simulated (duplicated and non-duplicated) microinterferograms of double refraction Pluta microscope in the case of drawn polypropylene fiber were presented. The duplicated and non-duplicated microinterferograms offer the possibility of mapping the optical and mechanical properties of drawn polypropylene fiber. These microinterferograms were automatically analyzed to investigate the effect of the drawing process on the molecular orientation function and the structural properties of polypropylene fibers. An empirical formula to correlate the birefringence of polypropylene fiber with the draw ratio was presented. The orientation angle, the orientation factors (f2(θ)Opt, f4(θ)Opt, f2(θ)c, and f4(θ)c), the number of chains per unit volume (Nm), the stress-optical coefficient (SOC), the segment anisotropy (SA), the optical configuration factor (Δa), the dielectric constant (φ), the dielectric susceptibility (η),the specific refractivity (ω), and other optical parameters were calculated using non-Gaussian statistical approximation. The comparison between calculated results in the case of Gaussian and non-Gaussian approximation was presented. The segment orientation distribution is an important key to understanding the relationship between the growth of a crystallite and the orientation angle, so we discussed it in detail inside the text. The constants of Mooney-Rivlin equation for polypropylene fiber were determined. In this study, we presented a new and simple formula for calculating the principal refractive indices of fully oriented polypropylene fibers. The obtained results give good qualitative agreement with previous experimental data for polypropylene fiber.
Security Enhanced Crowdfunding Using Blockchain and Lattice Based Cryptosystem
Authors: VIDYA K , Hussain Hussain Imthiaz , Celestine Vishal , Kumar Vishwa , ROBERT V NOEL JEYGAR 
Published: September 2022

Abstract
Crowdfunding is a method of raising funds from a large number of individuals or businesses. Investors can contribute to any project they are interested in and earn if the initiative is successful. Many crowdfunding sites now exist, and they accept large sums of money from investors and contributors and then leave them with bogus promises. Blockchain-based crowdfunding alters the usual approach to company finance. Generally, when people need to acquire funds to start a firm, they must first develop a strategy, statistical surveys, and models, and then offer their ideas to attract people or organisations. Banks, individual investors, and venture capital firms were among the sources of funding. The modern crowdfunding concept is based on three types of on-screen characters: the task initiator who presents the idea or venture to be financed, individuals or investors who invest in the idea, and a platform that connects these two characters to make the venture successful. It can be used to fund a wide range of start-ups and new concepts, such as inventive activities, medical improvements, travel, and social commercial enterprise projects. This work presents a practical implementation of a crowdfunding application that is secured by a lattice-based cryptosystem for encryption of user data and zero-knowledge proof for the identification of application users. Additionally, machine learning has been used for prediction of campaign success for the benefit of fund contributors.
The mid-to-late Holocene water level and climate changes of Lake Salda (SW Anatolia/Turkey): Evidence from high-resolution seismic and sediment core records
Authors: Sabuncu Asen , Eriş Kürşad Kadir , Uçarkuş Gülsen , Acar Dursun , Kırkan Erdem , Yakupoğlu Nurettin , Ön Sena Akçer , Balcı Nurgul 
Published: September 2022

Abstract
The sedimentary sequence in Lake Salda has been first documented in detail by analyses of high-resolution seismic profiles and sediment cores together with onshore outcrops along the present coastline of the lake. Such a multi-proxy approach provides a sensitive record of changing lake level and depositional conditions in Lake Salda during the mid-to-late Holocene. The low water level during the middle Holocene is followed by subsequent lake level decrease until 1690 cal year BP due to a drier climate. This prominent climate deterioration induced the coastal regression in the lake as inferred from the progradational deltaic sequences in the high-resolution seismic record. During the same period of a dry climate, oligotrophic lake conditions gave rise to the formation of stromatolite in the lake, timely coinciding with the Roman Warm Period. The following period of the late Holocene is represented by considerable lake level drop due to the enhanced dry climate that is earmarked by prominent erosional truncation surface and channel-incisions in the seismic profiles. This aridification phase is subsequently followed by transgressive lake level during 1690-1050 cal year BP, giving rise to a retreat of the deltaic deposit further inland as documented in the high-resolution seismic profile. The further deepening of the lake by contributions of both climate and tectonics during the last 650 cal year BP produced a transgressive unit with typical of onlapping architecture in the seismic reflection profiles and the formation of Gilbert-type fan deltas along the shoreline.
Economic Analysis of Hybrid Energy System for Rural Electrification in Hasik Area, Oman
Authors: Al-Badi Abdullah , Al-Farsi Ahmed , Al-Abri Tariq , Al-Mamari Mohammed , Al-Badi Abdullah 
Published: September 2022

Abstract

Renewable energy resources become the best way to solve the issues created by traditional power resources in terms of environmental effects, energy cost reduction, and high-power demand. The hybrid-based system gives a realistic economic solution where grid extension is non-feasible especially for remote areas. The main objective of this study is to determine the optimum size of a hybrid-based system to fulfill the requirements of remote sites located in the Hasik area in the southern part of Oman. The work is carried out using HOMER Pro and MATLAB software. The proposed hybrid system in Hasik network is a combination of PV systems with existing diesel generation. Real load data as well as solar radiations were utilized in proposed model. HOMER selected an optimum solution for the hybrid system resulting in a combination of 2,500 kW PV system and 3,100 kW diesel generation as well as providing a reduction in the cost of energy and CO2 emission by 13% and 22% respectively. The optimum PV sizing for the hybrid system was determined using genetic algorithm tool in MATLAB. The optimization was based on reducing the system power losses, improving the voltage profile and minimizing cost. Optimization verification was done using load flow analysis by MATLAB to determine the PV sizing effects on the system power losses and voltage profile. Based on the model results, the hybrid system is feasible in the Hasik area.
A Multicomponent Intervention Program Modifies the Cluster of Insulin Biomarkers, Body Composition, Physical Fitness, and Behaviors in Overweight and Obese Adolescents: a Network Perspective
Authors: Schneiders Letícia Borba , Bandeira Paulo Felipe Ribeiro , Gaya Anelise Reis , Àlvarez Cristian , Brazo-Sayavera Javier , Cristi-Montero Carlos , Borfe Leticia , Fochessato Camila Felin , Brand Caroline , Corbellini Valeriano Antonio , Renner Jane Dagmar Pollo , Reuter Cézane Priscila 
Published: September 2022

Abstract
Background

Overweight and obesity in adolescence is a clear example of a complex system challenging, as it is a human development stage that obesity is associated with metabolic, neurodevelopmental, psychological, social, and behavioral changes, which makes treatment for this comorbidity difficult. Objective: analyze the relationships between sociodemographic, behavioral, breastfeeding, body composition, physical fitness, and biomarkers of insulin metabolism before and after a multicomponent intervention with overweight and obese adolescents through network analysis.
Methods: quasi-experimental, 37 overweight/obese adolescents, Intervention Group-IG = 17; Control Group-CG = 20. The program lasted six months, three weekly sessions of physical exercises, nutritional and psychological guidance. The assessment was performed in the moments before and after the intervention on body composition, physical fitness and insulin biomarkers and lifestyle indicators. Network Analysis was used with three centrality indicators: proximity; strength and expected influence.
Results: Two networks were generated, for the moment before and after the intervention. For centrality measures before the intervention, closeness: sex (1.059), pubertal stage (1.268); strength: pubertal stage (1.268), physical activity (1.160), screen time (1.388); expected influence: age (1.658), HOMA-IR (1.171), insulin (1.304), glucose, CC (1.394). For after the intervention, closeness: sex (1.102), type of school (1.221), WHR (1.221); strength: breastfeeding (1.099), screen time (1.465), WHR (1.131), groups (1.280); expected influence: breastfeeding (1.574), HOMA-IR (1.017), resistin (2.276), BMI (1.008) and WC (1.154).
Conclusion: The multicomponent intervention it demonstrated beneficial relationships, modifying and approximating the clusters of factors of body composition, physical fitness and insulin biomarkers.
Minimization of Environmental Emission and cost of generation by using economic load dispatch
Authors: Singh Nagendra , Tiwari Manish , Chakrabarti Tulika , Chakrabarti Prasun , Jena Om Prakash , Elngar Ahmed A. , Ravi Vinayakumar , Margala Martin 
Published: September 2022

Abstract
CONTEXT
most of the electrical power is generated by thermal power plants. When a thermal plant is operated it can induce carbon dioxide and other toxic gases which can pollute the environment and reduce the life of living nature. Also, the cost of electrical power generation increases if the demand increases.
OBJECTIVE
This work proposed the economic load dispatch, which can help to generate the electrical power as per the load demand and save coal as well as reduce the emission of toxic gases.
METHODS
This work considers the latest variant of particle swarm optimization techniques, which can help to optimize the economic load dispatch. The help of case study shows the effectiveness of ELD and PSO techniques.
RESULTS AND CONCLUSIONS
This article discussed the above-mentioned problem and gave solutions. Taking different case studies and calculating the cost and environmental emission using ELD and optimization techniques. So following the economic load dispatch method for the generation of power in thermal power plants and using suitable optimization techniques, it is possible to reduce the cost as well as emission. If using the green energy system with a thermal power plant system is also economical and free from environmental emissions.
Knockdown of hsa_circ_0000530 Inhibits Osteosarcoma Progression by Regulating miR-198 and CDK6
Authors: Yang Zhou , Jia Zhen , Sun Xiaoya , Xu Shuangyan , Zhao Xuefeng , Wang Yisheng , Xu Yan , Li Yuebai 
Published: September 2022

Abstract
Background
Circular RNA was reported tightly associated with the incidence and progress of tumor, including osteosarcoma (OS). Circ_0000530, a newly discovered circular RNA, the expression and function were not investigated in OS until now. Here, we aimed to explore it.
Materials and Methods
By adopting real-time quantitative polymerase chain reaction (qRT-PCR), the level of circ_0000530, miR-198, and cyclin-dependent kinase 6 (CDK6) was identified. Moreover, flow cytometry and transwell assays were adopted for investigating cell cycle distribution, cell migration as well as invasion abilities. Furthermore, using dual-luciferase reporter gene experiments, the correlation between miR-198 and circ_0000530 or CDK6 was revealed. CDK6 protein levels were detected by western blotting (WB). In addition, the impact of circ_0000530 silencing on the growth of OS tumor in vivo was also validated.
Results
Circ_0000530 levels were raised in OS tissues and cells. Besides, it was shown that knockdown of circ_0000530 could hinder the proliferation, migration as well as invasion of OS cells, also inducing cell cycle arrest. Circ_0000530 could be adsorbed to miR-198, and miR-198 inhibitor was capable of reversing the inhibitory impact of silenced circ_0000530 on OS progression. Silencing of circ_0000530 could hinder CDK6 expression whereas miR-198 inhibitor could be used to recover the impact. Apart from that, circ_0000530 knockdown could reduce OS tumor growth through the regulation of CDK6 expression based on miR-198 in vivo.
Conclusion
Down-regulation of circ-0000530 inhibits the development of osteosarcoma through the regulation of miR-198 and CDK6, providing new ideas for diagnosing and treating osteosarcoma.
Operational safety risk assessment of water diversion infrastructure based on FMEA with fuzzy inference system
Authors: Li Huimin , Liang Mengxuan , Li Feng , Zuo Jian , Zhang Chengyi , Ma Ying 
Published: September 2022

Abstract
Water diversion infrastructure is characterized by a wide range of impacts and complex geological conditions. There are a large number of risk factors that affect its operational safety. Accidents that have occurred during operation have caused devastaing disasters to water diversion infrastructure. In this study, the failure modes for the operational risks of water diversion infrastructure are identified from four aspects, i.e.,environment, engineering technology, operation management, and society. A failure mode and effect analysis (FMEA) risk poiorization model is established based on the fuzzy inference system (FIS). A fuzzy rule base is established according to IF-THEN rules, and the risk priority is calculated and ranked via FIS. Lastly, a case study of the Huixian section of the Middle Route of the South-to-North Water Transfer Project is carried out to verify the proposed method. The results show that the risks of rainstorms, floods, and foundation failure are regarded as high priority. The validity and applicability of the proposed method are tested via comparison with traditional FMEA. These findings provide valuable information for the operational safety of water diversion infrastructure.
Development of Principles for Health-Related Information on Social Media: Delphi Study
Authors: Denniss Emily , Lindberg Rebecca , McNaughton Sarah A 
Published: September 2022

BackgroundHealth-related misinformation can be propagated via social media and is a threat to public health. Several quality assessment tools and principles to evaluate health-related information in the public domain exist; however, these were not designed specifically for social media.ObjectiveThis study aims to develop Principles for Health-related Information on Social Media (PRHISM), which can be used to evaluate the quality of health-related social media content.MethodsA modified Delphi approach was used to obtain expert consensus on the principles and functions of PRHISM. Health and social media experts were recruited via Twitter, email, and snowballing. A total of 3 surveys were administered between February 2021 and May 2021. The first survey was informed by a literature review and included open-ended questions and items from existing quality assessment tools. Subsequent surveys were informed by the results of the proceeding survey. Consensus was deemed if ≥80% agreement was reached, and items with consensus were considered relevant to include in PRHISM. After the third survey, principles were finalized, and an instruction manual and scoring tool for PRHISM were developed and circulated to expert participants for final feedback.ResultsA total of 34 experts consented to participate, of whom 18 (53%) responded to all 3 Delphi surveys. In total, 13 principles were considered relevant and were included in PRHISM. When the instructions and PRHISM scoring tool were circulated, no objections to the wording of the final principles were received.ConclusionsA total of 13 quality principles were included in the PRHISM tool, along with a scoring system and implementation tool. The principles promote accessibility, transparency, provision of authoritative and evidence-based information and support for consumers’ relationships with health care providers. PRHISM can be used to evaluate the quality of health-related information provided on social media. These principles may also be useful to content creators for developing high-quality health-related social media content and assist consumers in discerning high- and low-quality information.