bluuebunny/crossref_metadata_2025 huggingface dataset:
Operation Safety Analysis of Diversion Tunnel with Unfavourable Geology Condition Based on Finite Element Simulation
Authors: Wu WeiYu , Lu WeiRan
Published: June 2021

The diversion tunnel of a hydropower station has unfavourable geological tunnel sections, and many collapses occurred during the excavation construction. It was put into operation after treatment with reinforced concrete lining. However, the operating conditions are quite different from the design conditions: the tunnel is in a low water-level operation or emptying state for a long time. Therefore, a safety analysis of the tunnel section is required. In this paper, a 3-dimensional finite element model is established by reasonable geological parameters for numerical simulation. The simulation results show that the support lining scheme during construction can temporarily guarantee the stability of the surrounding rock and the safety of the lining structure. However, the reducing strength security reserve coefficient of the surrounding rock is relatively low. It is recommended to strengthen monitoring and regularly inspecting of tunnel emptying?
Morphological, Physiological and Agronomic Characteristics of Cassava Superior Variety of Coastal Land
Authors: Amarullah
Published: June 2021

Additional information on morphological, physiological and agronomic performance for different cassava genotypes will support decision making for genetic resource selection, cultivation techniques and development of the desired crops for water-limited conditions such as coastal or coastal land. The purpose of this study was to evaluate the morphological, physiological and agronomic characters of eight cassava genotypes, namely Adira-1, Adira-4, Malang-4, Malang-6, UJ-3, UJ-5, Singgah and Ketan grown in the environment. dry land on coastal lands during high accumulation of root storage during mid 2018-2019. The study used a completely randomized design (RCD) with one factor and five replications. Morphological characteristics (plant height, stem diameter, number and shape of branches) were observed during growth. Physiological characters (leaf area index), chlorophyll content and photosynthetic activity) were observed 180 days after planting. The agronomic characteristics associated with tuber yield were observed at harvest. The results showed that cassava in coastal land had morphological characters (stem 277.78 cm high, 3.09 cm in diameter, varied branches), physiological characters (LAI = 3.85, leaf chlorophyll content = 1.29 mg g-1 with high photosynthetic activity), agronomic character (tuber yield 11.09 t / ha, dry weight 8.65%, 0.74). There is a positive relationship between several parameters in morphological and physiological characters on the agronomic characters related to the yield of cassava. All superior cassava varieties showed better performance compared to local glutinous rice varieties. Malang-4 and Malang-6 varieties produced tuber weights with dry matter and high yield harvest index (13.65 kg / plant + 8.69% + 0.77 and 13.81 kg / plant + 8.68% + 0, 77)
Distribution of Turbidity Values, Total Suspended Solids and Heavy Metals Pb, Cu in Tanah Merah Beach Waters and Semujur Island Waters, Bangka Tengah Regency
Authors: Yusuf M , Pamungkas A , Hudatwi M , Irvani
Published: June 2021

The high activity of tin (Sn) mining in the coastal areas of Bangka waters has an impact on turbidity, suspended solids, and increased levels of heavy metals (Pb, Cu). The study was conducted from February until April 2020 aims to determine the relationship between turbidity, total suspended solids (TSS), and concentrations of Pb and Cu in the Tanah Merah beach waters (TM) and Semujur Island waters (SM) which are characterized by the presence or absence of tin mining. (Sn) as a source of pollution. The results showed that the level of turbidity in TM (0.8-3.4 mg/l) was higher than in SM (0.4-0.8 mg/l) and Total Suspended Solid values in TM (149-185 mg/l) were lower than in SM (165-202 mg/l) and between (155-175 mg/l). The concentrations of heavy metals Pb in TM (0.05-0.09 mg/l) and Cu in TM (0.01-0.02 mg/l) were lower than in SM (Pb: 0.12-0.14 mg/l) and Cu (0.04-0.1 mg/l). Turbidity levels and high TSS values can be affected by the speed and direction of ocean currents. Heavy metals Pb and Cu are thought to be bound very effectively by TSS, their distribution is strongly influenced by the direction of the current and the velocity of the current formed.
Organoleptic Quality of Tuna Porridge Canned with Fortified Tuna Bone Meal
Authors: Tangke U , Daeng R A , Katiandagho B
Published: June 2021

Porridge is a cereal based meal which may be combined with tuna meat and bone meal for improved nutritional content, particularly calcium. Good quality tuna porridge canned must be beneficial to health, of high nutritional value and acceptable to sensory organs. This research aims at obtaining a formulation of tuna porridge canned product with fortified tuna bone meal with good organoleptic quality and acceptable to the society. The use of completely randomized design with fortification treatments 0%, 1%, 2% and 3% and three repetitions in the research method is expected to present an overview of the organoleptic quality of tuna porridge canned. The research result shows that fortified tuna bone meal significantly influences the organoleptic quality of taste and texture and does not significantly influence the organoleptic quality of color and smell. The analysis using the Bayes method results in the best product of tuna porridge canned with fortified tuna bone meal 1%.
Research on Energy Acquisition, Monitoring and Analysis Platform of Integrated Energy System Based on NB-IOT
Authors: Zhang Xinhua , Qu Yi
Published: June 2021

His paper introduces the energy acquisition and monitoring analysis platform of the integrated energy system based on NB-IOT, the system platform realizes the collection, storage, statistics and monitoring analysis of comprehensive energy consumption information such as electricity / water / gas based on NB-IOT communication technology, and provides effective data support for the promotion and construction of comprehensive energy system.
The impact of COVID-19 on the performance of food clusters MSMEs in Surabaya
Authors: Siswanto V K , Pamungkas A , Kusuma S H , Kuniawati U F , Puspita A D A
Published: June 2021

Based on the results of the Inter-Census Agricultural Survey (SUTAS) in 2018 and the Economic Census (SE) in 2016 was done by the East Java Provincial Government, the City of Surabaya had 385,054 MSMEs. However, Surabaya’s current condition was bad because until 17 May 2020 the number of people infected by COVID-19 in Surabaya was 1035 patients of supervision and 3190 people under monitoring (ODP), with 110 people who died as a result of this pandemic and 130 people had recovered from COVID-19. A large number of patients infected by COVID-19 in Surabaya may be an impact on the condition of Food Clusters MSMEs in Surabaya. This research aims to determine the impact of COVID-19 on the performance of food clusters MSMEs in Surabaya. This research method is descriptive, namely research that describes a situation without any treatment of the object under study. The result, that COVID-19 has any impact on the performance of food clusters MSMEs in Surabaya such as difficulties in accessing raw materials, decreasing production levels (including production costs), individual capital difficulties, marketing difficulties (including transportation costs), administrative procedures, and training become unsustainable.
Local identity of sustainability perspective in Brayut Tourism Village, Sleman, Yogyakarta
Authors: Kinanthi M , Muqoffa M , Pitana T S
Published: June 2021

Globalization and technology provide opportunities as well as vulnerability in various fields, including spatial production and architecture. One of the effects of globalization that can’t be avoided is the inclusion of understanding and concepts of development, which aren’t necessarily in accordance with the social, cultural conditions of our society, such as environmental problems that aren’t rooted in the local context. A historic area that has a strong cultural background, has identity problems related to modern and traditional aspects. This journal aims to see the importance of maintaining local identity from tangible and intangible aspects, so that the “spirit” or identity can always adjust to the times in the era of globalization, especially in the tourist village of Brayut, Sleman, Yogyakarta. The method used in this research is descriptive qualitative method, through field observation, interview and documentation. The results of this study indicate that local identity in the tourist village of Brayut is able to adapt to the challenges of globalization by utilizing and preserving cultural heritage buildings and fulfilling the four pillars of sustainability namely, cultural, social, economic, and environmental. The role of the community in managing the development of the built environment in historic areas also influences its sustainability.
A Review: Different Challenges in Energy-Efficient Cloud Security
Authors: Kumari Poonam , singh Meeta
Published: June 2021

Cloud Computing is the hottest research area today because of its ability to reduce costs associated with computing while increasing scalability and flexibility for computing services. Cloud computing is Internet based computing because it provides on demand dynamically to consumers by sharing resources and providing information to the software. Cloud Computing is one of the fastest growing technology IT trade for business. Cloud computing security has become a major cause of hindrance in its development. Cloud computing security is set of policies, procedure, controls, roles, permissions and technologies that work together to protect cloud based system and data. Cloud computing security has become a latest topic in academic research and industry because Cloud users have to save their data in the cloud so lack of security in the cloud cans loss the user’s trust. This paper discusses review of security in cloud computing. The study is based on all the levels of SaaS (Software as a Service), PaaS (Platform as a Service) and IaaS (Infrastructure as a Service) and the deployment model (Private, Public, Hybrid, and community cloud.
Transesterification and Reactive Extraction of Castor Oil for synthesis of Biodiesel/Biolubricant
Authors: Pradhan Subhalaxmi , Saha Chandreyee , Kumar Manoj , Naik S.N.
Published: June 2021

The use of non-edible vegetable oils as a substitute for petroleum fuel has gained popularity due to increased environmental contamination and depletion of petrochemical resources. There is high percentage of oil in castor seeds, that can be converted into biodiesel and biolubricant. Castor oil has high lubricity due to presence of higher percentage of (nearly 90%) ricinoleic acid. In comparison to other vegetable oils, ricinoleic acid having a double bond and a hydroxyl group, gives higher lubricity to the castor oil and its alkyl esters. The study comprises production of castor oil alkyl esters from castor oil using different alcohols such as methyl, ethyl, propyl and butyl alcohol. The reaction parameters are optimized to get effective yield for all the four alkyl esters. Propanol was used as both an extracting solvent and a transesterification reagent in the reactive extraction of castor seed. The physico-chemical characteristics like low cloud point, pour point, oxidation stability and lubricity of castor oil alkyl esters was determined, which suggests that methyl and ethyl esters of castor oil could be used as a sustainable biodiesel whereas higher alkyl esters such as propyl and butyl esters are suitable for biolubricant.
String cosmological model in bianchi type IX inflationary universe with flat potential
Authors: Sharma Sanjay , Poonia Laxmi , Maheshwari Varsha
Published: June 2021

String cosmology has been investigated in a spatially symmetric Bianchi-IX line element under consideration of flat potential. To illustrate the nonlinear system of field equations an appropriate relation between the metric coefficient and the hybrid expansion law (HEL) for the scalar factor a (t) is considered i.e. a(t) = a
0
t

γ
1

e

γ
2
t
where γ1 and γ2 are the non-negative constants and a
0 denotes current value of a(t). It has been observed that the energy density and particle density diverge initially and become finite for large t. The tension in string clouds tends to infinite when t = 0 and constant value at a large value of t for m>1. The proper volume is also increases with time in exponentially way favorable to inflationary criteria. Expansion and shear infinite large initially and approach to finite value at late time. Some structural aspects of the model and their importance are pointed.
Contaminant Removal from Shrimp Rearing Wastewater by Wetland Plant Species (Echinodorus amazonicus)
Authors: Quang-Tuong Luong , Thanh Tran
Published: June 2021

Intensively aquaculture activities in culturing shrimp (Macrobrachium rosenbergii) often increased contaminants in the water. Our research is conducted to evaluate the phytoremediator performance of wetland plant as Echinodorus amazonicus with 20.75 ± 0.16 g of fresh weight (1.857 ± 0.157 g of dry weight) for removing pollutants of 7 liters of shrimp farming effluent from the first day to the 16th day. There are two treatments in 16 days as following, treatment without plant named Control (n=2) and another treatment with plant named Experiment (n=3). Physical and chemical indicators are temperature, pH, EC, TDS, DO, for daily monitoring during 16 days of experimental set up. Water samples are collected at the first day, 6th day, 11th day and 16th day for analysis of indicators ammonium-nitrogen (NH4+-N), phosphate (PO4
3--P), iron (Fe) and copper (Cu). Results show the growth of Echinodorus amazonicus with 100% survival rate. To be concluded, the use of Echinodorus amazonicus as phytoremediator in this study removed NH4+-N, PO4
3--P, Cu and Fe pollutants at various times under static conditions at laboratory condition.
AI based Birds Sound Classification Using Convolutional Neural Networks
Authors: Anand R , Shanthi T , Dinesh C , Karthikeyan S , Gowtham M , Veni S
Published: June 2021

To classify and recognize the sounds which are produced by the birds which are used for the identification of species of the bird. The identification of bird species in captured audio files will be a transformational method for scholars, wildlife biologists and birders. In latest years, artificial neural networks have dramatically increased the detection efficiency of bird species recognition using machine learning systems. There is a lot of study in audio recognition using machine learning. This work may help for the easy identification of birds living in a locality and studying of birds’ migration.
Bianchi - III inflationary universe for perfect fluid distribution using Cosmological constant in general relativity
Authors: Poonia Laxmi , Kumawat Sunil , Sharma Sanjay
Published: June 2021

In this study Bianchi-III universe for perfect fluid under effect of the cosmological constant is investigated. The complicated system of field’s equations are resolved in the existence of conservation condition of energy-momentum and a relativistic relation among metric potential is assumed i.e. b = c k
. here k ` 1 is a constant. The dynamical features of the constructed model are also pointed
Seismic soil structure interaction of reinforced concrete frame building supported on foundations
Authors: Bhuvana Rekha I , Lingeshwaran N , Agarwal Sunny , Madavarapu Sateesh
Published: June 2021

Soil Structure Interaction (SSI) determines the response of structures during seismic activity. An engineering review committee deals only with the study of soil structure interaction as compared to free motion, gives an appreciable impact on the basement motion. This article investigates the influence of soil structure interaction on RC frame building with seismic excitations. By taking different cases like 5, 10, 15, 20 storey of varying soil types are type I, type II and type III, different foundation types are isolated, combined, mat, pile. The entire foundation-soil-structure system is modelled and analyzed in a finite element based SAP2000 Software, to study the stress on soil and framed structure in the presence of SSI. Finally, a comparative study between with and without SSI to reinforced concrete framed structure is done. The study shows that SSI effects are higher than regular approach if we include the SSI effects in our analysis and design of structure to get a safety design.
A review on multi nozzle electrohydrodynamic inkjet printing system for MEMS applications
Authors: Biswas Adrija , Roy Shibendu Shekhar
Published: June 2021

New microproducts require to utilize the variety of materials. Their complex three-dimensional microstructures have big aspect ratios. This ability to fabricate geometrically complicated 3D microstructures provides some additional profits to the additive manufacturing systems over traditional methods. Among the enormous variety of micro-products, depending on the mixtures of usefulness of the product and fundamentals of operation, the foremost types are micro-opto-electro-mechanical systems, micro electromechanical systems, micro-optical electronics systems and microelectronic products. Electrohydrodynamic inkjet printing is an innovative high-resolution technology of inkjet printing which has the benefits of being a non-contact, maskless, additive and direct-write methods. The resolution of printing of EHD surpasses by approx. two orders of magnitude compared to the general inkjet printing methods. It has been used mostly in cases of nano or micro manufacturing of very small objects for modelling of a big range of constituents on different substrates having the alternatives of either Drop-On-Demand mode or continuous mode. It is considered to be a capable substitute to thermal and piezoelectric based inkjet printing methods since it has a unique quality of producing small jet or droplets in comparison to the nozzle orifice. Several advantages in fine patterning are presented by EHD inkjet printing processes, but the little manufacturing speed of EHD inkjet printing is an unadorned disadvantage that has been hindering its probable extensive uses in the industry of electronics. To overcome this restriction, the direct printing of colloidal solutions with the help of multiple nozzle EHD inkjet printing method is used. This review offers a short account of multiple-nozzle electrohydrodynamic inkjet printing of colloidal solutions for its application in MEMS.
Prediction of passenger flow for north central railway region through ANN
Authors: Singh Anoop Pratap , Tripathi Ajay , Dwivedi Ravi Kumar , Garg Anurag , Kumar Rajan
Published: June 2021

A new method of prediction method is described in this paper. The passenger rate for the north central railway (NCR) region is estimated by using artificial neural networks (ANN). An ANN model is developed here that can logically estimate passenger flow rates. Which helps the decision makers to make the strategies according to the falling population. In this analysis data from the North Central Railway region from January 2009 to December 2015 have been taken, data such as passenger revenue, months and years, festival seasons and passenger numbers. When predicting passenger flows for the months of January and February 2016, an error of less than 2.9% is found. Therefore, it’s concluded that an ANN prediction method is applied in passenger flow prediction in railways.
Three-dimensional finite element analysis on the flexural behavior of composite beams under linear displacement
Authors: Kumar T Hemanth , Harsha G Sri
Published: June 2021

This paper presents a three-dimensional finite element model for reinforced concrete beams to study their flexural behavior under linear displacement with different mesh sizes. The model was assessed in terms of failure modes and ultimate strength of composite beams with three different mesh sizes. This was found to be accurate in taking the linear displacement of the specimens. The analysis was further carried out to study various parameters like the percentage of horizontal and vertical web reinforcement, bending moment, shear strength, compression damage, and tension damage. Based on the results of this study optimum mesh size was proposed for further analysis.
Computational fluid dynamics and thermal analysis of a lithium-ion battery with different cooling system for electric vehicles
Authors: Turaka Seshaiah , Obulu P. , Vijaya Kumar Reddy K.
Published: June 2021

Lithium-ion batteries are the main bases available for electric vehicles and hybrid electric vehicles, because of clean energy transportation as compared to other power sources developed by traditional I.C Engines. In order to get high discharging Lithium-ion batteries battery condition, there is a significant temperature difference should be maintained in between battery temperature and appropriate local temperature. In this paper presents the model designed with different type of heat pipe shapes modeling in CREO parametric software and analyzes the heat pipe with different mass flow inlets (30& 50L/min) thermal thermal analysis done in ANSYS to determine the temperature distribution and heat flux for two types of phase change materials (RT50 & Li Fe PO4). Also, Computational Fluid Dynamics analysis (CFD) is to calculate pressure (pa), velocity (m/s), heat transfer coefficient (w/m2k), mass flow rate (kg/sec) and heat transfer rate (w) for the different designs of heat pipe and different mass flow inlets. It has been observed that in thermal analysis the heat flux value is more for lithium ion phosphate phase change material (Li Fe PO4) than RT50 phase change material at U-bend heat pipes. Similarly in CFD analysis observed that mass flow rate (kg/sec), heat transfer rate (w), heat transfer coefficient (w/m2k) values are increases by increasing the mass flow inlets and heat transfer rate more at straight type heat pipes as compared to bend type.
Barrier analysis of green supply chain management by interpretive structural modelling (ISM) technique
Authors: Mishra P.M. , Sharma Sudhir , Shukla Rajendra K , Singh Alok
Published: June 2021

Industrialization plays a major role in economic development, infrastructure, growth and prosperity of any country. But these industries affects our environment so badly which causes global warming, greenhouse effect, ozone layer depletion, acid rain, pollution etc. Due to these threats green supply chain management comes into picture and many researchers are working on this. It will help in sustainable development of the society. With the help of many researches, literature we are able to know about drivers and barriers of Green Supply Chain Management. There are many methodologies like Interpretive Structural Modelling (ISM Technique), Regression Analysis, Questionnaire Process available which can analyzed effect and response of Green Supply Chain Management. This paper has analyzed some researches and shows the response of the industries which had surveyed; drivers and barriers of Green Supply Chain; Requirements for effective Green Supply Chain Management. The process of Globalization had imaginary convert entire world as single village. Rapid transportation and fast communication has encourages manufacturer form across the world for remote business opportunities. In this context, neck to neck competition in price, quality and post sell services has become the mandatory requirement of market.
Evaluation of the effective mechanical properties of palm oil fuel ash based fiber reinforced concrete
Authors: Srikanth Kristam , Kumar Jagarapu Durga Chaitanya , Venkat Das T , Jeelani Syed Hamim , Eluru Arunakanthi
Published: June 2021

Cement concrete is one of the utmost regularly used building materials next to water. But one tonne of cement produces 1.25 tonnes of CO2 and pollutes the environment. To keep that in mind, in this study the cement is partially replaced with POFA up to 30% (5% equal intervals), and steel fibers are added to the volume of concrete by 0.5% apart from normal concrete. Generally, POFA is one of the Agro-Industrial garbage materials which is coming as of the palm oil industry, with the growing amount of waste produced from the different processes there has been an increasing the waste generation. Increasing intrust in the use of agro - Industrial waste to achieve the potential advantages. Comparing with cement, POFA contains a high silica content. specimens are cast with M40 grade of concrete. The prepared POFA based Fibre reinforced concrete (FRC) was tested for all types of mechanical properties, as compressive strength, split tensile strength, bending strength, and load-deflection curve. All these properties are compared with the nominal concrete.
Developed software for automation toolpaths for laser processes
Authors: Ortiz Igor , Alvarez Piera , Angeles Montealegre M , López Carles Creus
Published: June 2021

Additive manufacturing started in the eighties as a new technology for repairing added value parts. The additive manufacturing technology is based to produce complex features layer by layer, without using complex tooling. For programming coating toolpaths, many operator hours are needed, a software is necessary to facilitate this task of programming complex 3D geometries. A customized CAM-system for laser metal deposition is needed. The objective of this work is to introduce the new software developed by Talens System. This software has been designed for automating the toolpaths and process parameters researched and validated in our laser machine tool, for additive manufacturing as well for laser hardening.
Experimental assessment of compensated distortion in selective laser melting of Ti6Al4V parts
Authors: Stiuso V , Minetola P , Calignano F , Galati M , Khandpur M S , Fontana L
Published: June 2021

Selective laser melting (SLM) is a well-established Additive Manufacturing technique for the fabrication of end-use metal components. Process reliability and maximum product quality are ensured by 20 years of technology development. Nevertheless, depending on the complexity of the part geometry and on the operator experience, different trials are often needed before getting a part first time right. To reduce the number of failed jobs, simulation software packages predict residual stresses and related distortions in SLM parts and propose a compensated geometry for the “right first time” production of the product. In this works, the simulation routines of Amphyon software by Additive Works are experimentally calibrated and validated for the fabrication of a reference geometry by means of an EOSINT M270 machine and Ti6Al4V powder. The calibration of Amphyon is performed using three cantilever specimens and the calibrated SLM simulation is then used to compute the compensated shape of the reference part. The validation of the compensated shape by comparison to the real part geometry shows that Amphyon routines have good prediction capability and dimensional accuracy.
Novel reactive power compensation technique for an inductive load connected with micro grid
Authors: Arockiaraj S. , Sakthisudursun B. , Jawahar M. , Suban A.
Published: June 2021

The modern power factor repair process using Ardunio Mega2560 provides fast, easy and efficient power adjustment among other methods. Adjusting the active factor of the incoming load will reduce the amount of active energy. The speed of adjustment for proper identification of the power factor was performed using the Ardunio Mega2560. The incoming load causes a lower power factor so by using the appropriate system such as Ardunio Mega2560, the appropriate capacitor bank and other components the problem is solved and the results are obtained with MATLAB verification. Whenever the power factor deviates from the required value or it is automatically closed and saves it at all times. The Ardunio Mega2560 is connected to the MATLAB and the power level is available.
Deep learning based optimum fault diagnosis of electrical and mechanical faults in induction motor
Authors: Singh Vikas , Gangsar Purushottam , Atulkar Ashok , Porwal Rajkumar
Published: June 2021

Among all the motors Induction motor (IM) plays a vital role in industry and the demand for their reliability and safe operation is increasing day by day. They are reliable but they do wear out if not maintained timely which in turn will lead to excessive loss of revenue and also man power and this motivates us to develop an intelligent methodology for diagnostic of incipient faults in Induction Motor. This paper focuses on the development of optimum Deep Learning based diagnostic technique to detect the mechanical and electrical faults in Induction Motor. Here, mechanical and electrical faults of different severity level are being tested on machine fault simulator using acquired current and vibrational signals. In this work, optimum model of Deep Neural Network (DNN) based on critical vibration and current features is developed and finally used to timely and effectively detect that which kind of faults the given IM is dealing with. The results are added and discussed in the result and discussions.
Effect of position and shape of electrode on resonant frequency of an artificial epithelium membrane for frequency selectivity
Authors: Karbari Sudha R , Sankanatti Suneel , Uttara Kumari M , Shireesha G
Published: June 2021

Postoperative medical studies by various groups have shown the relevance of electrode position on the hearing outcome of the Cochlear Implant. There are various types of CI in market that are re-evaluated and changed for its functionality. Prior knowledge of the exact position of the electrode within the cochlea is an important parameter of study to improve the electrical stimulation of the hearing nerve for the implants. Similar studies are performed on the artificial epithelium membrane which involves restoring the function of outer and middle ear without bypassing their functionality and providing solution towards a self sustained implantable cochlea. Different shapes of electrodes are evaluated using various structures in dimensional analysis for improving the displacement and the electric stimulation calculated in terms of voltage. Five designs are modelled and optimized for improving the frequency selectivity for its resonance of an epithelium membrane to function as a biomimetic Epithelium membrane. Simulation studies are carried out using FEA analysis tool to introspect and evaluate the tonotopy of the epithelium membrane in terms of electrode shape and position.
Digital Education Program through Accounting Software
Authors: Narimawati U , Andriany J , Indrianingsih M , Octaviany N
Published: June 2021

The purpose of this research is to educate the public about digital MSMEs through Accurate software. We used descriptive methods for 10 MSMEs who have utilized digital platforms but have not utilized Accurate software to support the study. The results show that 4 things affect the facilities and infrastructure of MSMEs’ potential guidance process (Medium, Small, and Medium Entrepreneurs) during the practice. From these results, almost 50% of facilities and infrastructure are relevant to MSMEs’ skills because they have used the software. MSMEs get experience relevant to digital platforms with Accurate software and affect the potential of facilitating bookkeeping.
Preferred life expectancy and the association with hypothetical adverse life scenarios among Norwegians aged 60+
Authors: Skirbekk Vegard , Langballe Ellen Melbye , Strand Bjørn Heine
Published: June 2021

Background

how long older individuals prefer to live given hypothetical adverse changes in health and living conditions has been insufficiently studied.

Objectives

the objective of this study is to investigate the relationship between six adverse health and living conditions and preferred life expectancy (PLE) after the age of 60 years.

Design

cross-sectional face-to-face interviews.

Setting

population-based sample.

Participants

825 community dwellers aged 60 years and older in Norway.

Methods

logistic regression models were used to analyse PLE, measured with a single question: ‘If you could choose freely, until what age would you wish to live?’ The impact on PLE of several hypothetical scenarios, such as being diagnosed with dementia, spousal death, becoming a burden, poverty, loneliness and chronic pain was analysed by age, sex, education, marital status, cognitive function, self-reported loneliness and chronic pain.

Results

average PLE was 91.4 years (95% CI 90.9, 92.0), and there was no difference between men and women, but those at older ages had higher PLE than those at younger ages. The scenarios that had the strongest negative effects on PLE were dementia, followed by chronic pain, being a burden to society, loneliness, poverty and losing one’s spouse. PLE among singles was not affected by the prospect of feeling lonely. The higher educated had lower PLE for dementia and chronic pain.

Conclusion

among Norwegians 60+, the desire to live into advanced ages is significantly reduced by hypothetical adverse life scenarios, with the strongest effect caused by dementia and chronic pain.
oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data
Authors: Maeser Danielle , Gruener Robert F , Huang Rong Stephanie
Published: June 2021

Cell line drug screening datasets can be utilized for a range of different drug discovery applications from drug biomarker discovery to building translational models of drug response. Previously, we described three separate methodologies to (1) correct for general levels of drug sensitivity to enable drug-specific biomarker discovery, (2) predict clinical drug response in patients and (3) associate these predictions with clinical features to perform in vivo drug biomarker discovery. Here, we unite and update these methodologies into one R package (oncoPredict) to facilitate the development and adoption of these tools. This new OncoPredict R package can be applied to various in vitro and in vivo contexts for drug and biomarker discovery.
TransRef enables accurate transcriptome assembly by redefining accurate neo-splicing graphs
Authors: Yu Ting , Han Renmin , Fang Zhaoyuan , Mu Zengchao , Zheng Hongyu , Liu Juntao
Published: June 2021

RNA-seq technology is widely employed in various research areas related to transcriptome analyses, and the identification of all the expressed transcripts from short sequencing reads presents a considerable computational challenge. In this study, we introduce TransRef, a new computational algorithm for accurate transcriptome assembly by redefining a novel graph model, the neo-splicing graph, and then iteratively applying a constrained dynamic programming to reconstruct all the expressed transcripts for each graph. When TransRef is utilized to analyze both real and simulated datasets, its performance is notably better than those of several state-of-the-art assemblers, including StringTie2, Cufflinks and Scallop. In particular, the performance of TransRef is notably strong in identifying novel transcripts and transcripts with low-expression levels, while the other assemblers are less effective.
Positive Long-Term Effects of Third Molar Extraction on Taste Function
Authors: Kim Dane , Doty Richard L
Published: June 2021

Taste and other neurosensory defects have been reported postoperatively in a number of patients who have undergone mandibular third molar extraction (TME). Although the taste deficits are generally believed to resolve within a year, the long-term effects of TME remain unknown. We retrospectively examined the whole-mouth taste function of 891 individuals who had received TMEs, on average, more than 2 decades earlier, and 364 individuals who had not undergone TME. All had been extensively tested for chemosensory function at the University of Pennsylvania Smell and Taste Center over the course of the last 20 years. The whole-mouth identification test incorporated 2 presentations each of 5 different concentrations of sucrose, sodium chloride, citric acid, and caffeine. Analyses of covariance (age = covariate) found those with histories of TME to exhibit better overall test scores for all 4 taste qualities than nonoperated controls. Such scores were not associated with the time since the TME. In both groups, women outperformed men and function declined with age. The basis of this phenomenon, which requires confirmation from prospective studies, is unknown, but could reflect sensitization of CN VII nerve afferents or the partial release of the tonic inhibition that CN VII exerts on CN IX via central nervous system processes.
Comprehensive Evaluation of the Impact of Sociodemographic Inequalities on Adverse Outcomes and Excess Mortality During the Coronavirus Disease 2019 (COVID-19) Pandemic in Mexico City
Authors: Antonio-Villa Neftali Eduardo , Fernandez-Chirino Luisa , Pisanty-Alatorre Julio , Mancilla-Galindo Javier , Kammar-García Ashuin , Vargas-Vázquez Arsenio , González-Díaz Armando , Fermín-Martínez Carlos A , Márquez-Salinas Alejandro , Guerra Enrique C , Bahena-López Jessica Paola , Villanueva-Reza Marco , Márquez-Sánchez Jessica , Jaramillo-Molina Máximo Ernesto , Gutiérrez-Robledo Luis Miguel , Bello-Chavolla Omar Yaxmehen
Published: June 2021

Background

The impact of the coronavirus disease 2019 (COVID-19) pandemic in Mexico City has been sharp, as several social inequalities at all levels coexist. Here we conducted an in-depth evaluation of the impact of individual and municipal-level social inequalities on the COVID-19 pandemic in Mexico City.

Methods

We analyzed suspected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases, from the Mexico City Epidemiological Surveillance System from 24 February 2020 to 31 March 2021. COVID-19 outcomes included rates of hospitalization, severe COVID-19, invasive mechanical ventilation, and mortality. We evaluated socioeconomic occupation as an individual risk, and social lag, which captures municipal-level social vulnerability, and urban population density as proxies of structural risk factors. Impact of reductions in vehicular mobility on COVID-19 rates and the influence of risk factors were also assessed. Finally, we assessed discrepancies in COVID-19 and non-COVID-19 excess mortality using death certificates from the general civil registry.

Results

We detected vulnerable groups who belonged to economically unfavored sectors and experienced increased risk of COVID-19 outcomes. Cases living in marginalized municipalities with high population density experienced greater risk for COVID-19 outcomes. Additionally, policies to reduce vehicular mobility had differential impacts modified by social lag and urban population density. Finally, we report an under-registry of COVID-19 deaths along with an excess mortality closely related to marginalized and densely populated communities in an ambulatory setting. This could be attributable to a negative impact of modified hospital admission criteria during the pandemic.

Conclusions

Socioeconomic occupation and municipality-wide factors played a significant role in shaping the course of the COVID-19 pandemic in Mexico City.
Disturbance-Induced Trophic Niche Shifts In Ground Beetles (Coleoptera: Carabidae) In Restored Grasslands
Authors: Rahman Azeem U , Jones Holly P , Hosler Sheryl C , Geddes Seth , Nelson Melissa , Barber Nicholas A
Published: June 2021

Ecosystem restoration is a critical component of land management, countering the loss of native biodiversity. Restoration efforts are enhanced by reintroducing naturally occurring ecosystem processes, including disturbances that may impact species characteristics such as niche position or niche size. In grasslands, grazing and fire affect plant diversity and habitat complexity, which potentially influence insect dietary behaviors and thus their contributions to functions like seed and arthropod predation. Using carbon and nitrogen stable isotopes, we characterized variation in the dietary niche of six ground beetle species (Coleoptera: Carabidae) in response to grazing by reintroduced bison and prescribed fire disturbances in twenty tallgrass prairies. Management disturbances did not affect activity density for most beetle species and mean trophic position was mostly unaffected. However, five of six species exhibited increased trophic niche area and breadth with disturbances, indicating a switch to a more generalist diet that incorporated a wider range of food items. The combination of bison and fire impacts may increase vegetation patchiness and heterogeneity, driving these diet changes. Morphological traits and microhabitat preferences might mediate response to disturbances and the resulting heterogeneity. Combining prescribed fire and grazing, which increases plant diversity and vegetation structural diversity, may help beetle communities establish over time and support the ecological functions to which these insects contribute.
Fitness vs Fatness as Determinants of Survival in Noninstitutionalized Older Adults: The EXERNET Multicenter Study
Authors: Navarrete-Villanueva David , Gómez-Cabello Alba , Gómez-Bruton Alejandro , Gesteiro Eva , Rodríguez-Gómez Irene , Pérez-Gómez Jorge , Villa-Vicente José Gerardo , Espino-Toron Luis , Gusi Narcís , González-Gross Marcela , Ara Ignacio , Vicente-Rodríguez Germán , Casajús José A
Published: June 2021

Background

Physical fitness and body composition are important health indicators; nevertheless, their combined pattern interrelationships and their association with mortality are poorly investigated.

Methods

This longitudinal study is part of the Spanish EXERNET-Elder project. Person-months of follow-up were calculated from the interview date, performed between June 2008 and November 2009, until the date of death or censoring on March 2018 (whichever came first). In order to be included, participants had to fulfill the following criteria: (a) be older than 65 years, (b) live independently at home, (c) not suffer dementia and/or cancer, and (d) have a body mass index above 18.5. Body fat and weight were assessed by a bioelectrical impedance analyzer. Fitness was measured with the Senior Fitness and the one-leg static balance tests. The Spanish Death Index was consulted for the death’s identification. Cluster analysis was performed to identify Fat–Fit patterns and traditional cut-points and percentiles to create the Fat–Fit groups. Cox proportional hazards regression models were used to calculate the hazard ratios (HRs) of death in clustered Fat–Fit patterns and in traditional Fat–Fit groups.

Results

A total of 2299 older adults (76.8% of women) were included with a baseline mean age of 71.9 ± 5.2 years. A total of 196 deaths (8.7% of the sample) were identified during the 8 years of follow-up. Four clustered Fat–Fit patterns (Low fat–Fit, Medium fat–Fit, High fat–Unfit, and Low fat–Unfit) and 9 traditional Fat–Fit groups emerged. Using the Low fat–Fit pattern as the reference, significantly increased mortality was noted in High fat–Unfit (HR: 1.68, CI: 1.06–2.66) and Low fat–Unfit (HR: 2.01, CI: 1.28–3.16) groups. All the traditional Fit groups showed lower mortality risk when compared to the reference group (obese–unfit group).

Conclusion

Physical fitness is a determinant factor in terms of survival in community-dwelling older adults, independently of adiposity levels.
Evaluation of the All Right? Campaign for tangata whaiora/mental health service users in Canterbury, New Zealand
Authors: Calder Kristi , Begg Annabel , D’Aeth Lucy , Turner Sue , Fox Ciaran , Nobes Beth , Pope Kelly , Bell Caroline
Published: June 2021

All Right? is a wellbeing campaign developed in response to the devastating Canterbury earthquakes of 2010 and 2011. Vulnerable groups post-disaster include people with a prior history of or unresolved mental illness. This research focussed on the reach and impact of All Right? specifically for tangata whaiora/mental health service users. Evaluation objectives were primarily focussed on assessing the extent which mental health service users engaged with All Right? and to determine the impact of this interaction. Both qualitative and quantitative methods were used to gather data. Findings indicated that mental health service users responded to All Right? to a greater extent than the general target population, e.g. about one-third (37%) of respondents to a population based Christchurch survey agreed that they had done activities as a result of what they had seen or heard of the All Right? campaign compared with approximately two-thirds (68%) of respondents to the mental health service users’ survey. One of the key factors facilitating mental health service users’ engagement with All Right? appears to be that the campaign was directed at whole-of-population level, therefore engagement was not defined by being a mental health service user. Engagement was also likely to be facilitated by the campaigns perceived impact of reducing mental illness-related stigma. This research concluded that population-wide wellbeing campaigns in the post-disaster context, when done well, can positively impact the wellbeing of the overall population, including mental health service users.
A locking-free P0 finite element method for linear elasticity equations on polytopal partitions
Authors: Liu Yujie , Wang Junping
Published: June 2021

This article presents a $P_0$ finite element method for boundary value problems for linear elasticity equations. The new method makes use of piecewise constant approximating functions on the boundary of each polytopal element and is devised by simplifying and modifying the weak Galerkin finite element method based on $P_1/P_0$ approximations for the displacement. This new scheme includes a tangential stability term on top of the simplified weak Galerkin to ensure the necessary stability due to the rigid motion. The new method involves a small number of unknowns on each element, it is user friendly in computer implementation and the element stiffness matrix can be easily computed for general polytopal elements. The numerical method is of second-order accurate, locking-free in the nearly incompressible limit, and ease polytopal partitions in practical computation. Error estimates in $H^1$, $L^2$ and some negative norms are established for the corresponding numerical displacement. Numerical results are reported for several two-dimensional and three-dimensional test problems, including the classical benchmark Cook’s membrane problem in two dimensions as well as some three-dimensional problems involving shear-loaded phenomena. The numerical results show clearly the simplicity, stability, accuracy and efficiency of the new method.
Elastolytic activity is associated with inflammation in bladder cancer
Authors: Gruba Natalia , Stachurski Lech , Lesner Adam
Published: June 2021

Cancer development and progression is often associated with inflammation. Late diagnosis of inflammation that directly leads to the development of neoplasm—cancer is associated with a reduction in the chance of successful treatment or is associated with therapeutic difficulties. A panel of chromogenic substrates was used for the qualitative determination of the specific activity of enzymes in urine of patients with confirmed inflammatory reaction and/or epithelial neoplasms in particular tumours at various stages of development. Urine of people with excluded inflammation was used as a control group. Proteolytic activity was determined in urine samples collected from patients with epithelial neoplasms and/or inflammation. What is more, we determine human neutrophil elastase activity-related inflammation based on the examination of urine samples. We suspect that the proteolytical activity of urine samples is due to neutrophil response to inflammation, which is directly related to cancer. This is the first study to determine elastolytic activity in bladder cancer urine samples. It supports wider use of urine for inflammation screening.