bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis Invariance Between Gender Of The Satisfaction With Parenting
Authors: Yan Doudou , Bagirova Anna
Published: August 2023

The analysis of multigroup invariance helps to test the validity of the research model. Satisfaction with parenting is one of the important factors regulating population reproduction and parenting willingness. Research on satisfaction with parenting of specific social groups can provide a more targeted understanding of the specific factors that affect their parenting behavior and parenting motivation. The satisfaction with parenting of parents with left behind experience may be affected by the primary family and the current family. The purpose of the present study was to examine the invariance between gender of the satisfaction with parenting for parents with left behind experience. The sample consisted of 431 parents (204 male and 227 female) with left behind experience, which conducted in 2021 in Sichuan, China. Multigroup analysis supported measurement invariance between gender, which include measurement weights, measurement intercepts, structural covariance, and measurement residuals. These results provide evidence that the model of satisfaction with parenting in the current and primary family for parents who were left behind children is a valid parenting satisfaction measure to be used among male and female actors with such experience in some regions - in particular, some regions with high number of left behind children in China.
The Risk Of Hedging
Authors: Vidovics-Dancs Agnes
Published: August 2023

Hedging financial risk is an essential issue but is far from trivial to implement. There are several hedging assets portfolio managers can select from. However, the choice is not without weight: two portfolios hedged against the same risk factor may have different characteristics depending on this hedging asset. Moreover, hedging against one risk factor may increase the portfolio's sensitivity to other risk factors. That is, a strategy that aims to reduce risk may also increase risk in a paradox way. This should be considered by portfolio managers, risk managers, and regulators as well. The goal of this paper is to raise thoughts on this topic.
The Impact Of The Tax Relief To Families On Household Income In Hungary
Authors: Varga Erzsebet Terez
Published: August 2023

Hungary's family tax system is often criticised for being unequally distributed, favouring high-earners and those with several children. In my analysis, I point out that, according to calculations based on the traditional notion of per capita income, families with four children are the worst off on all incomes, and that families with one child are no worse off than the often envied families with three children, and are, in fact, several income decils above them. However, if we take into account that newer household members require less extra expenditure and apply the OECD statistical methodology, we can see that in the lower income categories, who are at risk of poverty, it is indeed the one-child households who are worse off, while in the middle income categories (median and mean income) it is the two-child households who are worse off. The study also dispels the misconception that the family tax relief is only fully available to wealthy parents. Even the majority of those in the lowest income decile can take full advantage of the benefit for up to 3 children. The critical situation is, in fact, for single-parent families. Indeed, single-parent families are not entitled to the full benefit for 3 or more children in the lowest income decile.
Instigating Maritime Studies Via Rapid Prototyping And Robotics: A Case From The SMARTBOAT Initiative
Authors: Teodoro Pedro , Marat-Mendes Rosa , Assuncao Mario , Alves Nuno , Sanguino Beatriz , Gaspar Henrique M.
Published: August 2023

A case on rapid prototyping is presented in this work to exemplify the use of learn, make and share activities to promote maritime studies. SMARTBOAT is an initiative from the Escola Superior Náutica Infante D. Henrique, in Portugal, where students are invited to interact with computer-aided design modelling, additive manufacturing and programming. Such initiative is paramount to instigate and promote higher education studies in science, technology, engineering, art, and mathematics (STEAM). The initiative is presented and discussed, with its main steps and schemes. A step forward is later discussed by the ongoing collaboration with the Norwegian University of Science and Technology (NTNU, Norway), which intend to combine the Portuguese case with recent advancements in robotics and digital twin, such as remote operation via internet of things protocols and web-based tools. The work ends with a discussion on the results and future works on autonomous shipping, as well as a call for the development and sharing of similar initiatives.
Mixture Modeling As A Way For Optimization Of Wort In Beer Production
Authors: Kostov Georgi , Denkova-Kostova Rositsa , Shopska Vesela , Ivanova Kristina
Published: August 2023

Different malt types used in beer production are responsible not only for beer taste and aroma, but also for its biological value. In our previous research the main brewing and biological (phenolic compounds and antioxidant capacity) characteristics of 20 malt types, which are used in the brewing industry in Bulgaria, were studied. The aim of the present work is the modelling of a three-component mixture of malts (Pilsner, Caramel Munich type 2 and Vienna), in order to obtain wort with increased biological value. The method for mixtures modelling was used, as the target functions were wort phenolic compounds, determined by Folin–Ciocalteu method and modified Glories method, and wort antioxidant potential, determined by DPPH radical scavenging assay and ferric reducing antioxidant power - FRAP. The proportions of the three malts were determined after ANOVA of the results obtained, in order to guarantee the maximum biological value of the wort. The model obtained was optimized by applying constraints within the model in order to minimize the phenolic compounds content and maximize the antioxidant potential of wort produced. However, the optimization was carried out also to ensure that the wort produced showed good brewing characteristics. The obtained mixture had the following composition – 60% Pilsner, 20% Caramel Munnich type 2, and 20% Vienna malt. In the present study, a mathematical-statistical approach was applied for modelling and optimization of the composition of malt mixture in order to produce wort with increased biological value and good brewing characteristics.
Extending AGADE Traffic To Simulate Auctions In Shared Mobility Services
Authors: Nguyen Johannes , Powers Simon T. , Urquhart Neil , Eckerle Dominic , Farrenkopf Thomas , Guckert Michael
Published: August 2023

With the number of individual vehicles meeting the capacity limit of urban road infrastructure, the deployment of new mobility services may help to achieve more efficient use of available resources and prevent critical overload. It may be observed that most of the seats in private vehicles remain unused during the journey. Therefore, increasing the number of passengers per vehicle may potentially reduce the overall number of vehicles on the road. For this purpose, ridesharing services can be an effective instrument, if supply and demand for rides are efficiently matched. The use of ridesharing depends on multiple factors, e.g. individual preferences, available infrastructure, alternative mode options (the quality of public transport). Auctions have been established successfully in comparably complex markets in which supply and demand of limited resources have to be matched efficiently. However, finding an appropriate auction design is difficult and can hardly be examined without experimentation that requires appropriate simulation instruments. In this paper, we extend the AGADE Traffic simulator with ridesharing options and implement functionality for simulating and evaluating auctions in shared mobility scenarios. We demonstrate application of the simulator with different auction designs on a ridesharing use case with commuter traffic.
Using A Multi-Criteria Decision Making Approach In Conjunction With A Delphi Study To Identify Factors Influencing Pollutant Emissions
Authors: Atthirawong Walailak , Leerojanaprapa Kanogkan , Somboonwiwat Tuanjai , Luangpaiboon Pongchanan
Published: August 2023

Pollution is currently a major concern in Thailand and other countries around the world. The Thai government has made environmental degradation a priority, emphasizing the benefits of reducing pollution generated by heavy industries. To be successful, a variety of efforts and authority at all levels are required. This study adds to the existing literature on identifying factors that reduce pollution emissions in the plastic industry using a multi-criteria decision-making (MCDM) approach. Two-phase methodologies were used to identify and rank such factors from a practical standpoint. From the first phase, two rounds of the Delphi method yielded three main criteria and 12 ubcriteria. Regarding that, the Analytical Hierarchy Process (AHP) was used to rank those factors. The findings indicated that the top three sub-criteria for According to the findings, the top three sub-criteria for reducing pollution emissions were "determination of standard improvement of pollution discharge at source clearly" (19.55%), "improvement of production efficiency" (15.32%), and "set up action plans for emergency pollution accidents from industry" (11.04%), respectively. Among the main factors, "Source reduction" has the highest rank (40.4%). Finally, this study discussed recommendations for entrepreneurs and policymakers.
SimBO - A Framework For Simulation-Based Optimization Using Bayesian Optimization
Authors: Zmijewski Philipp , Meseth Nicolas
Published: August 2023

SimBO is a flexible framework for optimizing discrete event-driven simulations (DES) using sequential optimization algorithms. While specifically designed for Bayesian Optimization (BO) in the context of DES, SimBO can be applied to any black-box problem with other optimization algorithms. The framework consists of four encapsulated components - the black-box problem, the sequential optimization algorithm, a database for experiment configuration and results, and a web-based graphical user interface - that communicate via well-defined interfaces. Each component can be run in different environments, allowing for cooperation between different hardware- and software configurations. In our research context, SimBO’s architecture enabled BO algorithms to be run on a high-performance cluster with GPU support, while the simulation is executed on a local Windows machine using the Simio simulation software. The framework’s flexibility also makes it suitable for evolving from a research-focused tool to a production-ready, cloud-based optimization tool for modern algorithms.
Experiments On GPT-3 Assisted Process Model Development
Authors: Simon Carlo , Haag Stefan , Zakfeld Lara
Published: August 2023

Computer assisted process model development from textual descriptions is still an open research question. Advantages of such a technology lie in shorter development times and possibly a more concise interpretation of the narrative input. A solution to this problem necessarily relies on methods from formal modeling and linguistics. In the latter field, the new GPT-3 model is recognized as a breakthrough that outperforms previous technologies whose limitations hindered success of earlier research in this context. But are GPT-3's capabilities to summarize text, detect cause-and-effect, or to classify terms sufficient to succeed? The presented research describes the results of systematic experiments to use GPT-3 to interpret a textual process description and transform it into a formal representation. The different settings demonstrate how to exploit the capabilities of large language models and how to avoid pitfalls. Although the observations made are promising, further work is needed. The outcome of this paper identifies the direction in which this future research should proceed.
Crop Classification Using Reduced-Dimensionality NDVI Time Series
Authors: Pavlova Maria , Sidorchuk Dmitry , Bocharov Dmitry , Sarycheva Anastasia
Published: August 2023

The paper considers the problem of classification of agricultural crops. As is known, to solve this problem, it is much more efficient to use not instantaneous remote sensing data or calculated vegetation indices, but their historical series. Time series formed by index values for a fixed spatial point at different dates are characterized by a high level of missing values, caused primarily by cloudiness on some dates. A study of known methods of time series approximation has been carried out. The question of whether reducing the dimensionality of the approximated time series can improve the quality of crops classification is also investigated. In the experimental part of the work, NDVI time series calculated from the Sentinel-2 multispectral satellite data were used. The classification of corn, sunflower, wheat and soybeans was studied. The paper shows that UMAP usage for dimensionality reduction leads to 1.5 times increase of classification quality in terms of average the F1-measure compared to using the original dimension data. A new crop classification method based on cubic spline approximation of NDVI time series, extraction of features of low dimension by the UMAP algorithm and their classification by the k nearest neighbors method is proposed.
Boil-Off Rate In LNG Storage Tanks As A Function Of Initial Liquid Temperature
Authors: Nerheim Ann Rigmor , Hennum Tor , Aesoy Lene
Published: August 2023

This work presents simulations performed using the online tool BoilFAST, where the boil-off rate in a Liquefied Natural Gas (LNG) tank has been investigated for various starting temperatures, and for different storage tank dimensions. The simulations have been performed to investigate whether BoilFAST can be used for analyzing LNG boil-off and for assessing the fuel tank size and geometry for a maritime vessel. Sloshing in maritime LNG storage tanks is known to cause pressure drops which may compromise the supply pressure to the gas engine. A novel and cost saving means to combat this risk could be to heat the LNG during bunkering to a temperature equal to the equilibrium temperature at which the vapor pressure equals the minimum required pressure of the engine. However, if the LNG is overheated, this may compromise the requirement of 15 days of holding time of the LNG in the tank without exceeding the maximum allowable pressure. Simulations show that when the LNG is heated prior to filling into the storage tank, the fulfillment of the holding time requirement depends on the tank geometry, as well as the filling degree and temperature gradient through the tank walls.
Advanced Milling Simulation And Information Management
Authors: Surmann Tobias , Mecke Kai
Published: August 2023

This paper presents results of coupling actual milling processes from the aircraft industry to a related simulation by collecting process data. This allows both, an immediate real time process monitoring on the one hand and a long-term evaluation of the process reliability on the other hand. The immediate process monitoring compares the time series of the spindle torque with the precomputed simulation results and stops the milling process when there is a significant deviation between both. The long-term evaluation of the spindle torque is used to find anomalies in the milling processes like a drift of cutting forces, frequent tool breakage in the same NC-program over a lot of workpieces, or to analyse the tool wear behaviour. To build up such a system the data flow between the NC-programming, the machines, and the simulation system had to be analysed to build an information model. This has been necessary for an optimal development of the communication channels between all subsystems (CAM-system, milling machine, process monitoring system, and simulation) which were originally not meant to work together. Therefore, a big challenge has been to get from a theoretical information model to a running short- and long-term process monitoring system that not only works in a university environment but in the actual aircraft industry as well.
Singular Simulation Of Real Fish In Fish Processing Factories
Authors: Kleppe Paul Steffen , Giske Lars Andre , Mork Ola Jon , Hansen Irina-Emily
Published: August 2023

Much research is put into researching the simulation of manufacturing systems and operations, typically Discrete Event Simulation for systems and machining simulations. These simulations are often limited to idealistic behavior within the systems (e.g., no physics involved) and infinitely rigid objects (e.g., no bending or other impacts from tools). This research presents a development of a simulator for soft bodies within a physics engine; the case studied is the effects of physics on fish within a production system. The developed simulator was benchmarked against a physical production system through a quantitative experiment, and the solution shows promising results in mimicking the behavior of fish within a production system. The research also suggests that data must be mapped to create an accurate digital representation of a fish.
Digital Twin For Agile Manufacturing: Challenges From The Offshore Wind Turbine Industry
Authors: Nickpasand Mehrnoosh , Gaspar Henrique M.
Published: August 2023

This paper highlights technical and practical challenges that the authors have faced to create a digital twin (DT) of a piece of manufacturing system, that is production process (i.e., assembly process) to serve system responsiveness (i.e., agility) in an offshore wind turbine manufacturing. It discusses the elements and architectural parameters in development of an agile manufacturing system, where DT of shopfloor and its practical setup is seen as a design element enabling agility in an industrial system. Currently, there is no detailed framework to describe how industries can practically benefit a DT of their production process in a way that their manufacturing systems becomes responsive to perturbations, and ultimately agile. More importantly, there is no detailed study to show potential challenges and their implications during deployment of such a DT. In absence of such a study, this paper proposes a configuration and practical architecture, customized for Siemens Gamesa Renewable Energy’s (SGRE’s) offshore wind turbine (OWT) manufacturing system, that denotes the logic behind such framework for reuse of DT in any typical manufacturing system along with its practical implications, helping other industries to predict potential challenges and estimate realistically the required budget for such implementation. The proposed model-based structure is built up based on the benchmark commonalities and differences of the known developed DT models in manufacturing and production context, incorporating the existing physical and virtual spaces in SGRE’s OWT manufacturing system, complemented by supplementary systems and software applications from existing technologies in market. The paper concludes with thoughts on a pilot project in production line of an OWT’s generator unit that is under development to verify such a design.
Verification Of Data-Intensive Embedded Systems
Authors: Narizzano Massimo , Tacchella Armando
Published: August 2023

Verification of embedded software relying on black-box hardware is challenging whenever precise specifications of the underlying systems are incomplete or not available. Learning structured hardware models is a powerful enabler of verification in these cases, but it can be inefficient when the system to be learned is data-intensive rather than control-intensive. We contribute a methodology to attack this problem based on a specific class of automata which are well suited to model systems wherein data paths are known to be decoupled from control paths. We show the effectiveness of our approach by combining learning and verification to assess the correctness of embedded programs relying on FIFO register circuitry to control an elevator system.
Convective Cells Algorithm For Storm Data Tracking
Authors: Szuster Piotr , Kolodziej Joanna
Published: August 2023

Atmospheric conditions, such as thunderstorms, are significant factors that influence human activity. Harsh weather may severely impact both daily life and professional activities. Severe thunderstorms are a considerable hazard -- they can generate heavy rainfall, high winds, large hail and tornadoes. Tracking of thunderstorms is necessary to gain situational awareness - knowledge of present and future storm-related threats and their significance. Thunderstorms are weather phenomena associated with cumulonimbus clouds. Those clouds are formed in deep, moist convection and are composed of liquid and solid water particles. Weather radars can detect those particles. Cumulonimbus-related particle concentration areas are represented in weather radar data as convective cells, making that measurement technique useful for storm-tracking applications. This paper proposes a new algorithm for storm data tracking in the data fusion process. The algorithm has been tested with real data from the POLRAD weather radar network and upper-air observations. The efficiency of the proposed algorithm has been justified in the empirical analysis. The algorithm projections can be useful in generating weather warnings due to accurate projections of storm movement.
Sermons That “Cut Like a Sword”: Samuel Blair’s Rhetoric During the Great Awakening
Authors: Choiński Michał
Published: August 2023

The article examines the style of Samuel Blair, a revival preacher of the Great Awakening who has often been omitted in the studies on the colonial pulpit tradition. Two texts by Blair, a sermon (A Perswasive to Repentance, 1743) and a revival account (A Short and Faithful Narrative, 1744) are studied rhetorically and presented as representative of the “rhetoric of the revival,” a particular mode of preaching in which the speaker employs a wide array of rhetorical patterns, biblical innuendos and communicative strategies aimed at eliciting emotional responses.
ABC’s North and South (Book I and Book II) Miniseries as an Expression of Reaganite Ideology
Authors: Perzyna Joanna
Published: August 2023

The article examines the compatibility of David L. Wolper’s adaptation of North and South (Book I and Book II) with Reaganite ideology. It discusses the modifications of the original text (characters and events) to demonstrate how a Civil War novel has been transformed into a mirror image of Reaganite America. Wolper’s TV adaptation forms part of Ronald Reagan’s governing narrative of building one and strong America. The positive investment in the past – sanitizing or eliminating socially divisive issues, such as slavery and promoting core values such as family – helps to reach the national consensus on history that everybody (Southerners and Northerners) can identify with. Wrapped in the 1980s aesthetics of opulence, Wolper’s adaptation conveys a message of America’s greatness, attainable under the Lincoln-Reagan rallying cry “we must all stand united as Americans.”
“Windows to the Past”: Disney’s America, the Culture Wars, and the
Question of Edutainment
Authors: Mittermeier Sabrina
Published: August 2023

While much has been written on Disney’s America, the theme park the Walt Disney Company wanted to build in Virginia in 1993, the relation of the surrounding controversy to the ongoing Culture Wars in the US has only marginally been touched upon. This article therefore delves deeper into this crucial connection, as well as using these events as a case study to discuss the importance of edutainment, and the role that theme parks play for this similarly often-discussed issue.
Internal carotid artery agenesis presenting with ruptured Acom aneurysm: Rare case report
Authors: Chauhan Bhanu Pratap Singh , Sahni Harkaran Singh , Gupta Jyoti , Pandya Rajan , Patidar Jayant , Jagetia Anita
Published: August 2023

Developmental anomalies of internal carotid artery (ICA), being rare entities, are mostly asymptomatic by themselves because of good collateral supply. However, when present with other associated intracranial anomalies requiring treatment, there can be catastrophic consequences, if special attention is not paid to this condition. We present a case of 36 years old male, who reported to our emergency department with complaints of headache and loss of consciousness. He was diagnosed as a case of ruptured anterior communicating aneurysm with subarachnoid hemorrhage and agenesis of left ICA with trans-cavernous anastomosis. He underwent clipping of aneurysm and was discharged uneventfully. This report highlights the importance of skillful microsurgical clipping in extremely high-risk conditions, in contemporary era of hybrid neurosurgeons.
Annihilation of action potentials induces electrical coupling between neurons
Authors: Schlötter Moritz , Maret Georg , Kleineidam Christoph J
Published: August 2023

Neurons generate and propagate electrical pulses called action potentials which annihilate on arrival at the axon terminal. We measure the extracellular electric field generated by propagating and annihilating action potentials and find that on annihilation, action potentials expel a local discharge. The discharge at the axon terminal generates an inhomogeneous electric field that immediately influences target neurons and thus provokes ephaptic coupling. Our measurements are quantitatively verified by a powerful analytical model which reveals excitation and inhibition in target neurons, depending on position and morphology of the source-target arrangement. Our model is in full agreement with experimental findings on ephaptic coupling at the well-studied Basket cell - Purkinje cell synapse. It is able to predict ephaptic coupling for any other synaptic geometry as illustrated by a few examples.
Three-dimensional single-cell transcriptome imaging of thick tissues
Authors: Fang Rongxin , Halpern Aaron , Rahman Mohammed Mostafizur , Huang Zhengkai , Lei Zhiyun , Hell Sebastian J , Dulac Catherine , Zhuang Xiaowei
Published: August 2023

Multiplexed error-robust fluorescence in situ hybridization (MERFISH) allows genome-scale imaging of RNAs in individual cells in intact tissues. To date, MERFISH has been applied to image thin-tissue samples of ~10 µm thickness. Here, we present a thick-tissue three-dimensional (3D) MERFISH imaging method, which uses confocal microscopy for optical sectioning, deep learning for increasing imaging speed and quality, as well as sample preparation and imaging protocol optimized for thick samples. We demonstrated 3D MERFISH on mouse brain tissue sections of up to 200 µm thickness with high detection efficiency and accuracy. We anticipate that 3D thick-tissue MERFISH imaging will broaden the scope of questions that can be addressed by spatial genomics.
Hub gene associated with prognosis in bladder cancer is a novel therapeutic target
Authors: Fang Dengpan , He Yuanqiao , Yi Yun , Mei Jiaqi , Liu Cundong
Published: August 2023

Objective

Bladder cancer is a clinical and social conundrum due to its high incidence and recurrence rate. It is urgent to find new targets for the diagnosis and treatment of bladder cancer and improve the prognosis and survival rate of bladder cancer patients. We sought a prognosis-related gene, built related models of evaluated bladder cancer and identified the function of the hub gene in bladder cancer.

Methods

We downloaded the data of bladder cancer patients from the TCGA database, and used differentially expressed genes (DEGs), copy number variation (CNV) and survival analysis to scan the hub genes associated with prognosis in bladder cancer. Then, multi-factor cox regression was used to obtain the bladder cancer prognosis correlation model. Then, we analyzed the relationship between the expression of hub gene and immune microenvironment of bladder cancer. The relationship between the expression of hub gene and prognosis in bladder cancer patients was verified by immunohistochemistry. Cell proliferation assay and drug sensitivity test in vivo were used to verify the inhibition of bladder cancer by targeted inhibitors.

Results

In bladder cancer, we screened seven hub genes (ACLY, CNP, NKIRAS2, P3H4, PDIA6, VPS25 and XPO1) associated with survival. Moreover, the multifactor regression model constructed with hub gene can well distinguish the prognosis of bladder cancer. Hub gene is mostly associated with immune microenvironment. Immunohistochemical results basically confirmed the importance of XPO1 in bladder cancer. Selinexor (an inhibitor of XPO1) could effectively inhibit the proliferation of bladder cancer in the cell proliferation experiments by CCK-8 assays and it could suppress the growth of bladder cancer in mouse bladder cancer model.

Conclusions

In this study, a prognostic model with seven hub genes has provided great help for the prognosis prediction of bladder cancer patients. And XPO1 is an important target affecting the prognosis of bladder cancer, and inhibition of XPO1 can effectively inhibit bladder cancer proliferation and growth.
Detection of single nucleotide polymorphisms in virus genomes assembled from high-throughput sequencing data: large-scale performance testing of sequence analysis strategies
Authors: Rollin Johan , Bester Rachelle , Brostaux Yves , Caglayan Kadriye , De Jonghe Kris , Eichmeier Ales , Foucart Yoika , Haegeman Annelies , Koloniuk Igor , Kominek Petr , Maree Hans , Onder Serkan , Posada Céspedes Susana , Roumi Vahid , Šafářová Dana , Schumpp Olivier , Ulubas Serce Cigdem , Sõmera Merike , Tamisier Lucie , Vainio Eeva , van der Vlugt Rene AA , Massart Sebastien
Published: August 2023

Recent developments in high-throughput sequencing (HTS) technologies and bioinformatics have drastically changed research in virology, especially for virus discovery. Indeed, proper monitoring of the viral population requires information on the different isolates circulating in the studied area. For this purpose, HTS has greatly facilitated the sequencing of new genomes of detected viruses and their comparison. However, bioinformatics analyses allowing reconstruction of genome sequences and detection of single nucleotide polymorphisms (SNPs) can potentially create bias and has not been widely addressed so far. Therefore, more knowledge is required on the limitations of predicting SNPs based on HTS-generated sequence samples. To address this issue, we compared the ability of 14 plant virology laboratories, each employing a different bioinformatics pipeline, to detect 21 variants of pepino mosaic virus (PepMV) in three samples through large-scale performance testing (PT) using three artificially designed datasets. To evaluate the impact of bioinformatics analyses, they were divided into three key steps: reads pre-processing, virus-isolate identification, and variant calling. Each step was evaluated independently through an original, PT design including discussion and validation between participants at each step. Overall, this work underlines key parameters influencing SNPs detection and proposes recommendations for reliable variant calling for plant viruses. The identification of the closest reference, mapping parameters and manual validation of the detection were recognized as the most impactful analysis steps for the success of the SNPs detections. Strategies to improve the prediction of SNPs are also discussed.
The Effect of Pharmaceutical Manufacturing Sector Company Characteristics on Tax Aggressiveness
Authors: Nurfauziah Tiya , Rusmita Sari
Published: August 2023

This research is focused on the Health sector, especially in the Pharmaceutical Manufacturing Company Sub-Sector. Especially where during the Covid-19 pandemic, Pharmaceutical Manufacturing Companies experienced a significant increase in revenue compared to various other sectors and it was rarely proven that companies in the Health sector, one of which was the Pharmaceutical Manufacturing Company Sub-Sector, took tax aggressiveness. This research is quantitative research. The research method used in this research is descriptive analysis method with multiple linear regression analysis, using SPSS software version 25. This research was conducted at health sector companies in the pharmaceutical manufacturing company sub-sector listed on the Indonesia Stock Exchange in 2016-2020. The sample in this study was determinde using purposive sampling method with 40 samples from 8 health sector companies in the pharmaceutical manufacturing company sub-sector. The findings of this study are the t test shows that leverage and capital intensity, with a significance value of 0.0001, and 0.008 respectively, have a significant effect on tax aggressiveness. While company size, liquidity and profitability have no effect on tax agressiveness. The results of the f test show that company size, leverage, capital intensity, liquidity and profitability simultaneously have a significant effect on tax aggressiveness.
Research on the Cognitive Degree of Pre-service School Mathematics Teachers for Operation Ability Literacy in China
Authors: Lu Dan , Yang Zezhong
Published: August 2023

Currently, the education of operation ability literacy has attracted wide attention from all walks of life. So far, many scholars have studied this aspect, but there is no research on the cognitive degree of pre-service junior high school mathematics teachers for operation ability literacy. In this study, 20 educational master degree students majoring in subject teaching (mathematics) of grade 2022 in the School of Mathematics and Statistics and undergraduate students majoring in mathematics at a university in China were investigated, and their cognition of operation ability literacy was investigated by interview. After that, through data analysis, it can be found that the current pre-service junior high school mathematics teachers' literacy of operation ability: 1. The cognitive scope is not wide, and less than half of the people can recognize more than half of the content; 2. The cognitive clarity of operation ability literacy is low, although all points of operation ability literacy can be recognized, the expression error rate is high. Therefore, it is suggested that pre-service junior high school mathematics teachers should pay more attention to the literacy of operation ability through training; Pre-service junior high school mathematics teachers should learn and study curriculum standards independently to improve their understanding of operation ability literacy.
Moisture Stress in Upland Rice (Oryza sativa L.) and Measures to Overcome It under Changing Climate: A Review
Authors: Langangmeilu Golmei , Sahu Mahanand , Sarthi Dondeshwar Prasad , Pusparani Kh , Heisnam Punabati , Moirangthem Abhinash
Published: August 2023

Low yields in upland rice (Oryza sativa L.) are frequently linked to poor crop management practices along with a lack of high yielding varieties, abiotic and biotic stressors. Drought (lack of water), overwatering (waterlogging/flooding), extreme temperatures (cold, frost, and heat), etc, all negatively impact crop and other plant growth, development, yield, and seed quality. Drought or moisture stress is the most important factor affecting upland rice under changing climate. Global climate change also exacerbates the vulnerability of upland rice production. Upland rice plants undergo physiological and biochemical alterations as well as morphological changes as a result of moisture stress. Different moisture stress affects the yield of upland rice ranging from 18-97% yield loss. As a result, crop management with broad, integrative and multi-disciplinary methodologies is required to increase productivity and profitability. Different mitigation strategies to overcome moisture stress and increase upland rice yields have been addressed in this review.
Awareness of Farmers on Weather Based Agro Advisory Services in Telangana State, India
Authors: Harshini A. , Babu K. Madhu , Reddy Ch. Venu Gopala , Suhasini K.
Published: August 2023

Agriculture production is significantly influenced by the weather. From seeding to crop harvest, it has a significant impact on all aspects of farming. Crop germination, establishment, growth, development and yield are all affected. Extreme weather conditions including drought, floods, heavy rains, heat waves, frost, hailstorms, cyclones, etc. may cause the farming community to suffer significant crop yield losses. Since the farming community will be aware of the upcoming weather conditions in advance, required adjustments may be made to farm level agricultural operations and decisions to lessen the consequences of unfavorable weather conditions. Therefore, Integrated Agro met Advisory Services will make it possible for the farmer to be informed of current and expected weather as well as advice to the farmer the best course of action to reduce losses caused by unfavorable weather conditions and increase the output of agricultural systems. A study was conducted in Telangana state to ascertain the degree of farmer’s awareness on weather-based agro advisory services. Random sampling technique employed to collect data from 120 farmers. Ex-post facto research design was used for the investigation. The data with regards to level of awareness possessed by farmers about weather based agro advisory services, it is revealed that 38.33 % of them had the medium level of awareness followed by low level 35.01 % and high level 26.66% of awareness, respectively. All profile characteristics of respondents showed a significant correlation with the degree to which farmers were aware of weather-based agro advisory services, with the exception of education, annual income, farming experience, mass media exposure, and cropping pattern. Multiple linear regression value 77.61 per cent contributed to the extent of variation towards independent variables.
Effect of TA41 on Growth, Yield and Quality of Bitter Gourd (Momordica charantia) cv. Phule Green Gold
Authors: Rawat Rohit , Prasad V. M. , Topno Samir Ebson , Singh Yash Kumar
Published: August 2023

Water served as the control in nine treatments that included various TA41 properties. After the transplant, 30 and 45 days later, the therapy is administered. The plot size was kept at 2m x 1.5m, and each treatment was reproduced three times in a randomized block design. The best results were achieved with the treatment T6 (foliar spray 40ml/L plus soil drenching of TA41 @ 20ml/L). The maximum plant height (354 cm), number of primary branches (14.66 cm), number of leaves per plant (216 cm), days until first flowering (25), days until first fruit picking (53), number of fruits per plant (38), fruit yield per plant (2.1 kg), average fresh weight of fruit (82.66), yield per hectare (22.75 t/ha), TSS (4.2 Brix), and ascorbic acid per (100.66 mg/100g) are all included in the analysis. The gross return (Rs 341250/ha), net profit (Rs 251021/ha), and B:C ratio (3.78) were all significantly higher than those recorded under.
Influence of Seaweed Sap and Organic Manures on Growth and Yield of Baby Corn
Authors: Raj Amit , Mehera Biswarup , Kumar Prateek
Published: August 2023

A field experiment was carried out during Rabi 2022 season at Crop Research Farm, Department of Agronomy, Naini Agriculture Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, Uttar Pradesh, to study the response of Seaweed Sap and Organic Manures on Growth and Yield of Baby Corn. The treatments consists of three level of Seaweed sap (5%, 7.5% and 10%), Organic manures (FYM, Poultry manure, Vermicompost) and control. The experiment was laid out in Randomized Block Design (RBD) with ten treatments and replicated thrice. The soil of the experimental field was sandy loam with pH (8.0), EC (0.56 ds/m), Organic Carbon (0.62%), Available N (225 kg/ha), Available P (38.2 kg/ha), and Available K (240.7 kg/ha). The results showed that application of Seaweed sap (10%) + Vermicompost – 8.5t/ha recorded significantly higher plant height (167.58 cm), maximum dry weight (98.48 g), No. of cobs/plant (2.47), cob length (21.40 cm), Cob weight with husk (49.84 g/cob), Cob yield (11.03 t/ha) and stover yield (35.33 t/ha). Maximum gross returns (281216.67 INR/ha), net returns (216726.67 INR/ha) and Benefit Cost (B.C) ratio (3.36).
Effect of Bio-fertilizer and Phosphorus on Growth and Yield of Green gram (Vigna radiata L.)
Authors: Joharika Chirumella , Singh Shikha , Nawhal Anu
Published: August 2023

The field experiment was conducted at Crop Research Farm, Naini Agriculture Institute, Department of Agronomy, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj during Zaid 2022 on sandy loamy soil. The experiment was laid out in Randomized Block Design. The experiment consists of treatments i.e., VAM (20g/kg seed) + Phosphorus 30kg ha-1, PSB (20g/kg seed) + Phosphorus 30kg ha-1, VAM + PSB (40g/kg seed) + Phosphorus 30kg/ha, VAM (20g/kg seed) + Phosphorus 40kg ha-1, PSB (20g/kg seed) + Phosphorus 40kg ha-1, VAM + PSB (40g/kg seed) + Phosphorus 40kg/ha, VAM (20g/kg seed) + Phosphorus 50kg ha-1, PSB (20g/kg seed) + Phosphorus 50kg ha-1, VAM + PSB (40g/kg seed) + Phosphorus 50kg/ha, including control i.e., application of 20-40-20 kg NPK ha-1 (Farmer practice), which are replicated thrice. The variety PDM-139 SAMRAT green gram was sown in February 2023. The results of the experiment revealed that the application of VAM + PSB @ (40g/kg seed) along with 50 kg ha-1 of phosphorus significantly increased the growth parameters viz., plant height (32.94 cm), plant dry weight (42.73 g plant-1), crop growth rate (72.1 g m-2 day-1), relative growth rate (2.16 g m-1 day-1), branches per plant (6.53), nodules per plant (16.4) and yield parameters viz, pods per plant (19.20), seeds per pod (11.87), test weight (40.0g), seed yield (1,620 kg ha-1), haulm yield (1,022.22 kg ha-1), harvest index (49.30%) over control. This treatment also showed its positive effect on economics viz., gross returns (Rs. 1,45,770 ha-1), net return (Rs. 1,04,120.40 ha-1) and benefit cost ratio (2.50).
Evaluation of Ivy Gourd (Coccinia grandis L) Genotypes under Prayagraj Agro Climatic Conditions
Authors: Sutar Pankaj Kumar , Singh Devi , Wesley C. John , Sahu Bijay Laxmi
Published: August 2023

The present investigation entitled “Evaluation of Ivy gourd (Coccinia grandis L) genotypes under Prayagraj agro climatic conditions” was carried out from October, 2022 to March 2023 at Horticultural Research Field, Department of Horticulture, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology And Sciences, Prayagraj, U.P. The experiment was laid out in randomized block design with seven genotypes in three replications. The genotypes namely G1-Arka Neelachal Khunki, G2-Arka Neelachal Sabuja, G3-Local Geda, G4-Local Denga, G5-Surekha, G6- CHIV-7 and G7-CHIV-8 were evaluated. It was concluded that all seven genotypes showed a significant performance on almost all the growth and yield characters as well as quality of Ivy gourd. The genotype G2-Arka Neelachal Sabuja was found superior in terms of vine length (315.11 cm), petiole length (6.37 cm), internodal length (12.71cm),fruit diameter (2.87 cm), average fruit weight (21.08 g), No. of seeds per fruit (122), No. of fruits per plant (422), fruit yield per plant (8.82 kg) ,fruit yield per hectare (17.35 t/ha), TSS (4.33), Ascorbic acid (15.34 mg/100g) and minimum days taken for first female flower anthesis (35.17 days) whereas maximum fruit length was obtained from genotype G1- Arka Neelachal Khunki (6.12 cm). Among the genotypes, highest gross return (Rs/ha) (3,47,000), net return (Rs/ha) (1,90,140), benefit cost ratio (2.21) was also obtained from genotype G2 i.e Arka Neelachal Sabuja.
Exogenous Application of Organic and Inorganic Nutrients and Their Impact on Agronomical Traits, Yield and Quality of Vegetable Cowpea [Vigna unguiculata (L) Walp]
Authors: Savaliya Pallavkumar J. , Mehta Vivek S. , Parmar Vinay K. , Patel Naren K. , Champaneri Dushyant D.
Published: August 2023

The study was undertaken on heavy black soil at Regional Horticulture Research Station, Navsari Agricultural University, Navsari, Gujarat (India) in order to analyze the effect of foliar application of organic and inorganic nutrients on growth, yield and quality of vegetable cowpea. The field was thoroughly ploughed and harrowed followed by land levelling using wooden plank. Basal dose of manure and fertilizer of 20:40:00 kg ha-1 was incorporated in the soil during land preparation. The seeds were planted 45 cm between rows and 30 cm between plants laid out in a Randomized Complete Block Design with nine treatments replicated three times. Treatments were as follows: Control (T1), 2% Panchagavya (An organic solution made from cow dung, cow urine, cow butter, cow curd and cow milk) (T2), 3% Panchagavya (T3), 0.5% Novel plus organic liquid nutrients (T4), 1% Novel plus organic liquid nutrients (T5), 1.5 % Novel plus organic liquid nutrients (T6), 0.5% Micronutrient grade IV (T7), 1% Micronutrient grade IV (T8) and 1.5% Micronutrient grade IV (T9). The observations were made at the intervals of 60 and 90 DAS and data was collected on plant growth, yield and quality parameters. Results showed that the application of 1% Novel plus organic liquid nutrients (NOVEL) (T5) exhibited maximum plant height (35.73 and 56.93 cm, respectively), number of leaves per plant (39.27 and 52.73, respectively) at 60 and 90 days after sowing (DAS) and increased leaf area (162.14 cm2). Substantial effect of foliar application of 1% Novel plus organic liquid nutrients (NOVEL) (T5) was detected in yield parameters viz., number of clusters per plant (12.07), number of pods per plant (58.00), marketable pod yield (6.04 kg/plot).  Furthuer to this, 1% Novel plus organic liquid nutrients indicated notable effect on protein content of pods (24.04%), iron (Fe) content (220.12 ppm) and zinc (Zn) content (62.76 ppm) of cowpea pods at final harvest. Novel Plus organic liquid nutrient can play a major role in growth, yield and quality in vegetable cowpea production.
Perceptions of Chemical Pesticides Use among Vegetable Growers in Bangladesh: Implications for Sustainable Pest Management
Authors: Islam Santa , Sayadat Nazmus , Haider Samiul
Published: August 2023

The majority of farmers in Bangladesh regularly use chemical pesticides to combat insect and pest attacks on their vegetable crops, even though doing so may have negative impacts on the environment and human health. The present study was conducted to assess the socioeconomic characteristics of the vegetable growers, examine the current pest management practices, identify the farmers’ perception of different aspects of chemical pesticide use and the factors that determine their perception towards pesticide use. A total of 120 vegetable growers were interviewed face to face from two unions of Gouripur upazila in Mymensingh district using a semi-structured questionnaire and following a simple random sampling technique. Data were analyzed using both descriptive and inferential statistics. The result of the descriptive analysis shows the socioeconomic characteristics of the respondents. The result shows that most of the respondents use chemical pesticides in vegetable cultivation and they have a positive perception of chemical pesticide use. The result of the correlation coefficient found that education, farming experience, extension media contact, and knowledge about insect pest management have positive and signification correlations with the farmers' perception. This research emphasized the requirement for prompt implementation of highly stringent pesticide use rules and suggested training courses for pest control specialists, farmers, and pesticide sellers.