bluuebunny/crossref_metadata_2025 huggingface dataset:
Extending pandoc with Lua
Authors: Krewinkel Albert
Published: June 2023

My first exposure to Lua has been as a pandoc user, and adding new Lua features to pandoc turned Lua into one of my favorite languages. In this post I will take a look at pandoc, the universal document converter, and explore how one can script and extend it with Lua. Pandoc includes a Lua interpreter since 2012, but the integration of Lua has been expanded significantly with the latest 2.0 release. My hope for this article is to highlight the beauty of these systems. The universal document...
rt6_redirect: source isn’t a valid nexthop for redirect target
Authors: Krewinkel Albert
Published: June 2023

The zeitkraut server is configured to work with IPv6. For quite some time now, I’ve been seeing some strange errors in my log files. If you’ve been noticing something similar, here is what’s going on and how to prevent the messages from appearing. The Problem Everything works as expected, except for some weird messages in the logs: rt6_redirect: source isn't a valid nexthop for redirect target Not even startpage was of much help. Searching for the above line only lists only some unanswered...
British and Irish Botanical Conference, November 22
Authors: Dalzell Jake
Published: June 2023

Today I went to the BSBI’s November conference in the Natural History Museum in London! I presented my poster on my summer project surveying islands on Strangford Lough, and got to do a 60 second flash talk. It was really great to meet other people who are passionate about plants and learn from them. Read the html version of my poster here. Watch my (very brief!) flash talk here.
Towards Black-Box Dynamics Modelling within Learning-based Nonlinear Model Predictive Control for Virtual Motorcycles
Authors: Bianchin Francesco , Picotti Enrico , Bruschetta Mattia
Published: June 2023

Learning-based Nonlinear Model Predictive Control (LbNMPC) is a promising framework for applying NMPC using dynamics models obtained directly from riding data. We developed a LbNMPC controller based on a black-box dynamics model and compare it with a previously published NMPC controller based on a physics-based description. The controllers have been tested in a high-fidelity simulation framework, and the LbNMPC outperforms the nominal one in terms of tracking indexes, while requiring twice the solution time.
The Effect of Weather Uncertainties on Ship's Fuel Consumption
Authors: Plessas Timoleon , Papanikolaou Apostolos , Liu Shukui , Adamopoulos N.
Published: June 2023

The present study aims at the quantification of the effect of uncertainty of the weather conditions on the fuel consumption of a vessel. More specifically, the uncertainty of the seaway conditions, namely spectral wave height, period and heading, on ship's added resistance will be introduced by an innovative probabilistic approach known from reliability theory. The ultimate goal of this study is to provide a rational methodology that will allow the estimation the fuel consumption of a vessel on a certain route, while considering the effect of weather conditions and their related uncertainties.
Artificial intelligence and Machine Learning for Real-world problems (A survey)
Authors: Ghahremani nahr Javid , Nozari Hamed , Sadeghi Mohammad Ebrahim
Published: June 2023

Today, the use of machine learning and artificial intelligence due to many advantages such as simplicity, high speed, high accuracy in predicting various processes, no need for complex equipment and tools and the availability of many applications in science and fields. Has found various including statistics, mathematics, physics, chemistry, biochemistry, materials engineering, medical engineering, pharmacy and etc. Therefore, in the present era, the study and study of various methods and algorithms of machine learning and artificial intelligence is very important. As a subset of artificial intelligence, machine learning algorithms create mathematical models based on sample data or training data for unpredictable prediction or decision making. One of the most interesting topics that can be focused on with artificial intelligence is predicting and estimating future events. Machine learning provides machines with the ability to learn independently. In other words, the machine can learn from the experiences, observations, and patterns it analyzes based on a set of data. In this regard, the chapter, with the aim of introducing machine learning and artificial intelligence, deals with their application in managing and analyzing the processes of economic systems in real conditions.
Investigating the key indicators of implementing car paint quality management in the automotive industry
Authors: Ghahremani Aboutaleb , Mohseni Amirmahan
Published: June 2023

With the increasing development of science and technology, economics and industry have gone beyond their traditional framework and are becoming more and more knowledge-based every day. In this regard, identifying and reviewing key indicators in different sectors of industry as well as evaluating and prioritizing these factors are the most important optimization tools in the field of growth and development of companies. The study of how these tools affect their development and identify the factors affecting their accurate implementation in the field of car paint quality is the subject of this article. After extensive review of existing studies in this field and reviewing the opinions of experts, key influential factors were identified and using the ideas of experts, they were modified in accordance with the conditions of the country and placed in a suitable frame. These critical indicators were examined using Fuzzy AHP method and their importance was discovered within the process. This model was investigated and tested in Iran Khodro Company, using the analysis of the results the importance of the elements was figured out. Finally, using the obtained results from the analysis, the value of optimal implementation in different parts of the industry was examined.
Logistics Network Design Considering the Location of Logistics Hubs: A Case Study of Western Iran
Authors: Shoukhbaf Behzad , Nakhai Kamalabadi Isa
Published: June 2023

Today, logistics is recognized as one of the most important factors in the development of countries. One of the characteristics of an efficient logistics structure is the design of a suitable logistics network with the requirements of the region and the existing infrastructure to meet the commercial and industrial needs at different scales. Facility location is the most important factor for the success of the facility and the designed network. One of the interesting topics in location issues is the hub location issue. Hubs are facilities that are used as our points of integration, communication, and switching between source and destination nodes. In a hub network, non-hub nodes are assigned to the hubs individually or multiple times so that the total system cost is minimized and service requirements are met. Given the current economic conditions and competitive environment, logistics hubs play an important role in the logistics network of companies, especially on a large scale, for countries. The function of logistics hubs is similar to that of logistics centers, but due to the network structure, they are known as logistics hubs. In this paper, the problem of logistics network design with emphasis on the location of logistics hubs is investigated. The mathematical model of the problem is multidimensional and unallocated, and the designed hub network is an incomplete network. In this case, the purpose is to meet the requirements of the mathematical model while minimizing the costs of a logistics network consisting of three costs of facility construction, interstate network construction, and transportation.
Forecasting Startup Return using Artificial Intelligence Methods and Econometric Models and Portfolio Optimization Using VaR and C-VaR
Authors: Shahvaroughi Farahani Milad , Esfahani Amirhossein
Published: June 2023

In this paper, we have tried to study the main role of startups in economy, their characteristics, main goals and etc. The main goal of article is prediction of startup's return using artificial intelligence methods such as genetic algorithm (GA) and artificial neural network (ANN). Some global indices such as S&P500, DJAI, and economic indicators such as 10 years Treasury yield, Wilshire 5000 Total Market Full Cap Index along with some other special indicators in startups like team, idea, timing and etc. are used as input variables. GA is used as feature selection and finding the most important variables. ANN is used as an optimization model and prediction of startup's returns. We used econometric models such as regression analysis. We have estimated Value at risk (VaR) and Conditional Value at risk (C-VAR) for considered portfolios including three startups (public company) such as Dropbox, Inc. (DBX), Scout24 SE (G24.DE) and TIE.AS and optimal portfolio formation. The results show that AI based methods are more powerful in prediction of startup's return. On the other hand, VaR and C-VaR models are very beneficial approach in minimizing risk and maximizing return.
Using Support Vector Machine For Classification And Feature Extraction Of Spam In Email
Authors: Reddy Anuradha , Maheswari M. Uma , Viswanathan A. , Vikram G.
Published: June 2023

We provide an overview of recent and successful content-based e-mail spam filtering algorithms in this article. Our main focus is on spam filters based on machine learning and variants influenced by them. We report on significant ideas, methodologies, key endeavors, and the field's current state-of-the-art. The initial interpretation of previous work demonstrates the fundamentals of spam filtering and feature engineering in e-mail. We finish by looking at approaches, procedures, and evaluation standards, as well as exploring intriguing offshoots of recent breakthroughs and proposing directions of future research.
Financial Inclusion And Micro, Small And Medium Enterprises (Msmes) Development In Nigeria
Authors: Okafor Stanley Osinachi , Ejelonu Henry Onyebuchi , Onyekwere Chukwuebuka Godwin
Published: June 2023

This study investigated the effect of financial inclusions of micro, small and medium enterprises (MSMEs) development in Nigeria. The methodology adopted for evaluation of the model is the multiple linear regression method. This choice of method is necessitated by the nature of the study which in this case is an analysis of relationship among variables. The statistical methods used included Unit root test, the Co-integration test and error correction model. Data was sourced from CBN statistical Bulletin 1981-2019. The results show that, whereas financial inclusion positively and significantly impacts the operations and development of MSMEs, distance to financial services, access points and infrastructural deficiency challenged fast and effective access to financial services by MSMEs in Nigeria. The study recommends that deliberate efforts should be made to spread access points to more rural areas and improve infrastructure to promote FI. This should include a policy roadmap for expanding financial services access points to unbanked and underserved areas using the financial services geospatial map
Prediction of Weld Strength in Power Ultrasonic Spot Welding Process Using Artificial Neural Network (ANN) and Back Propagation Method
Authors: Al Sarraf Ziad Shakeeb
Published: June 2023

In this presented work, the employment of artificial neural network (ANN) connected with back propagation method was performed to predict the strength of joining materials that carried out by using ultrasonic spot welding process. The models which created in this study were investigated and their process parameters were analysed. These parameters were classified and set as input variables like for example applying pressure, time of duration weld and trigger of vibrating amplitude while weld strength of joining dissimilar materials (Al-Cu) is set as output parameters. The identification from the process parameters are obtained using number of experiments and finite element analyses based prediction. The results of actual and numerical are accurate and reliability, however its complexity has significant effect due to sensitive to the condition variation of welding processes. Therefore, the needed for an efficient technique like artificial neural network coupled with back propagation method is required to use the experiments as an input data in simulation of ultrasonic welding process, finding the adequacy of modeling process in prediction of weld strength and to confirm the performance of using mathematical methods. The results of the selecting non-linear models show a noticeable potency when using ANN with back propagation method in providing high accuracy compared with other results obtained by conventional models.
Assessing Key performance indicators in Blockchain-Based Supply Chain Financing: Case Study of Chain Stores
Authors: Nozari Hamed , Ghahremani-Nahr Javid
Published: June 2023

In recent years, due to the growth and development of financing tools and methods, financial institutions are always looking for new, efficient, and low-cost methods. In carrying out their daily production operations, companies are faced with different and diverse financial input and output flows from purchasing orders and inventory to receiving the price of sold goods, which are not the same in terms of time. Therefore, they will inevitably look for the financing of these processes, which is referred to as working capital financing. However, in the conditions of recession and lack of bank loans and considering the problems caused by the unilateral management of this issue, there is a need for innovative financial tools such as supply chain financing (SCF). In recent years, with the introduction and evolution of blockchain technology, this opportunity has also arisen in financial fields to make the most of this new technology. Considering the growth of this technology and the importance of supply chain financing, in this research, it was first tried to fully investigate the dimensions and key components of blockchain-based supply chain financing. chain stores were considered as a case study and the importance of supply chain financing was analyzed in them and the SCF framework was presented in these applied enterprises. In addition, the most important key performance indicators in a blockchain-based supply chain financing system are identified and evaluated with an emphasis on chain store processes. To evaluate the data, a non-linear hierarchical analysis method was used. The results show that transferring and reducing risks in different types is one of the most important performance indicators of the blockchain-based supply chain financing system.
Motivational Factors to Join SHGs among the Fisher Folk Community of Kerala
Authors: S .P Aswani
Published: June 2023

Microfinance is a financial model specially designed for serving the poor. Microfinance programs provide tiny loans to poor people for self- employment projects. The conception of microfinance is as an income- producing tool rather than a consumption aid, thereby, it is an appropriate way of bringing social changes and transforming the society into a progressive one. Irregular income and social and economic backwardness are the main reason for the lack of sustainable development of fisherfolk. SHGs have played a crucial role in the intervention of microcredit given to the fisherfolk communities. Therefore, the researcher intended to study the motivational factors to join the SHGs among the fisherfolk community of Kerala. The study was experimental. The study found that members of the SHGs joined intending to obtain credit and meet their domestic expenses. Hence, they are not considering the objective of micro finance while utilizing the fund. They have used their micro-credit amount for meeting their expenses.
De-Globalisation: Institutional Preparedness and Entrepreneurship
Authors: Iqbal Zaffar , Andotra Neetu
Published: June 2023

Deglobalization is gaining momentum across nations to protect national sovereignty, bridging widening income inequalities, checking depletion of resources, generating employment through entrepreneurship & innovation, preserving culture identity etc. Still efforts are needed on the part of the government to reform regulatory provisions, diversifying agriculture to make it remunerative, supporting MSMEs, bringing service innovations, upskilling labour force, popularizing entrepreneurship programmes etc
Jurisprudential Exposition of Intellectual Property Rights
Authors: V.R Moneyveena
Published: June 2023

Human beings possess human rights, fundamental rights, statutory rights and natural rights. Property may be tangible, intangible, movable, immovable etc. Properties like house, land, jewellery, utensils etc can be seen and we can store movable properties somewhere safe. Some properties or rights human beings are entitled to, which cannot be seen or kept in safe places and these properties are the creation of human mind known as intellectual property. For the overall development of a nation, granting of intellectual property rights (IPR) is inevitable. But IPRs are being subjected to various criticisms like it is against human rights, equality, human dignity, ethics, competition law etc. This paper is an attempt to analyse the different IPRs, legislative frameworks, criticisms levelled against IPRs and also some suggestions for the proper balancing of IPRs and rights of the society. The work is completed using various text books on IPR, web sites, cases of various courts, international documents and statutes. The outcome expected is to create awareness and a clear knowledge about the various IPRs, the rights of IPR holders, remedies for infringement of rights etc.
Workforce Agility: A Review on Agility Drivers and Organizational Practices
Authors: Kt Muhammed Ali , Sivasubramanian Chitra
Published: June 2023

The rapid changes in the business environment compel organizations to find new strategies for operations. The notion of agility became the most predominant and popular strategy for dealing with an unpredictable environment. Despite the importance of workforce agility, literature has mainly focused on manufacturing and organizational agility, although it stresses requiring an agile workforce. The shortage of study brought limited knowledge and practice in the discipline affects the behaviour of enterprises. This article aims to provide significant research insights by exploring an extensive survey of the available literature on workforce agility. Also,it identifies various workforce agility drivers and organizational practices. It is found that an agile workforce simultaneously possesses multiple interdependent capabilities benefiting organizations operating in highly uncertain environments.
Examining the Financial Efficiency of Urban Co-Operative Banks in Kerala - A CAMEL Model Analysis
Authors: K.A. AMALA , K Anil Kumar
Published: June 2023

Urban cooperative banks play an essential role in the economic liberation of millions of people in our nation. It has emerged as a social and healthy banking institution providing need-based and quality banking services to the middle class and the marginalised sections of the urban population. Sound financial health is a guarantee to the depositor’s shareholders, employees and the economic system as a whole. In this study, an attempt is made to evaluate the financial performance of UCB using the CAMEL Model. This model mainly measures the bank’s performance from the five parameters: Capital Adequacy, Asset Quality, Management Efficiency, Earning Capacity, and Liquidity. The study is based on secondary data drawn from the annual report. For analysis, data over ten years are used. Statistical tools like average and standard deviation are used. It is found that the bank’s overall performance is satisfied with its asset quality being good. It was in a decent recovery position, but its financial condition in terms of capital adequacy, liquidity, earning rate, and management efficiency metrics was shabby, needing quick intervention.
Atal Pension Yojana: Effect of Inflation And Time Value of Money
Authors: Panicker Resmi C , Cherian Swapna K K
Published: June 2023

Economic Growth and Development of a nation is highly influenced by the financial well-being as well as improved standard of living of its citizens. To ensure a stable income for Indian Citizens after retirement, the Government of India has introduced Atal Pension Yojana in 2015-16 Budget. APY provides a defined guaranteed pension depending on the contributions made by the subscriber towards the scheme.APY could emerge as the mostpopular social security scheme under the NPS System. The present paperanalyzesthe amount of money an investor would receive from AtalPension Yojana after adjusting for the time value of money.The study also examines its benefits, contributions and the current trend among the public towards the scheme.The study uses secondary data. Our findings indicate that, as inflation will erode the value of pension amount over time, the pension under Atal Pension Yojana may be too small to cover the cost of living. The Government must index the subscriber contribution to inflation in order to prevent the pension fund of low-income consumers from depleting over time. If the design flaws of APY are addressed, even the most vulnerable will get benefited.
Legal Regulation of False and Misleading Advertisements with Special Reference to Consumer Protection Act, 2019
Authors: S Meenakumary
Published: June 2023

Advertising is an effective sales promotion technique to bring the products and services to public attention and persuade consumers to purchase them. It is one of the important elements of the promotion mix and the best marketing strategy adopted by marketers to highlight their products and ensure maximum public outreach as it has various media sources such as TV, radio, newspapers, posters and other social networking websites extended towards the public. The quality of advertisement, namely, celebrity endorsements, definitely influences the consumer's buying behaviour and hence plays a vital role in the decision-making process of product purchase. Hence consumer's interests must be protected in relation to these advertisements through proper legislation and Consumer Protection Act, 1986 was enacted by the Parliament to protect, promote and enforce the rights of consumers in case of consumer rights violations and unfair trade practises, and proposed a three-tier redressal mechanism at District, State and National level for speedy disposal of consumer grievances. Later on, this Act was replaced by Consumer Protection Act, 2019 which inserted new provisions for false and misleading advertisements and establishment of Central Authority for effective enforcement of consumer rights. This Article reviews the legal regulation of false and misleading advertisements under the Consumer Protection Act, 2019 and the establishment of a new investigation agency known as Central Consumer Protection Authority (CCPA) for investigating and deciding on matters relating to misleading or deceptive advertisements.
Influence of Stock Brokers on the Investment Decision of Individual Stock Investors
Authors: R Aseem , S K Biju
Published: June 2023

An investor is an important element of the stock market in any economy. In the past, stock investment was limited to the richer class, but in the present day, investment in the stock market is very popular among retail investors. Investment in the stock market is an excellent investment avenue. Many of the investors are non-professional and invest in the stock market based on some degree of recommendation received from others. Naturally, investors feel that they can make a profit from the stock market through professional guidance. Apart from buying and selling shares, the broker offers a range of additional services to investors, such as research reports, advisory services, and relationship managers. They also provide a wide range of products, including IPO, Debt, Mutual Fund, Futures, and Forward contracts, and insurance. Investors depend on the brokers for IPO information, market condition, awareness programs, and training for new investors. The investors received information related to financial services, portfolio selection and gainful information. Investors consider mage and reputation, speed of website and app, annual maintenance charge and initial investment for selecting brokers in the market.
Human Resource Management Practices In Himachal Road Transport Corporation
Authors: Bhatia Bhanu Priya , Verma O.P.
Published: June 2023

Human resources is the “real wealth creators of the organization.” Human resource management comprises assessing andmanaging the total knowledge, skills, creative abilities, ethics, and talents of the workforce. Fruitful planning, excellent human resource management, business-friendly policies & procedures, and proactive government can bring sustainable success to an organization. Human resource management (HRM) practices include human resource planning, recruitment and selection, training and development, compensation and benefits, performance appraisal system, industrial relations, career planning &development, organizational culture, and commitment &job satisfaction. The present study proposes to evaluate HRMpracticesfollowed in the public sector transport undertaking of Himachal Pradesh, viz., Himachal Road Transport Corporation (HRTC). The study mainly focuses on examining the perceptions of HRTC employees and their satisfaction level towards HRM practices followed in HRTC. Sample consists of 120 respondents of Shimla district of Himachal Pradesh and the judgmental sampling method has been followed. The conclusion drawn from the study is that HRM practices have a major impact on satisfaction level of employees of HRTC.
Improved Tolerance to Increased Temperatures During Grain Filling in a Winter Wheat (Triticum aestivum L.) Line Selected from a Cross Involving Aegilops speltoides Tausch
Authors: Giura Aurel , Șerban Gabriela , Ciucă Matilda , Cristina Daniel , Turcu Alina Gabriela , Săulescu Nicolae N.
Published: June 2023

Progress in breeding for heat tolerance could be enhanced by diversification of gene sources for tolerance to high temperatures. At the National Agricultural Research and Development Institute Fundulea, Romania, Aegilops speltoides has been used as a source for introduction of more diversity in the winter wheat (Triticum aestivum L.) breeding program. Two of the lines selected from a cross Favorit/Aegilops speltoides//3*Favorit were tested for response to enhanced high temperatures induced in the field by covering the plants with transparent cellophane paper. Line G557-6 showed a smaller reduction of grain weight, despite flowering 3-4 days later than the heat susceptible sister line and than most other tested cultivars. Molecular analysis identified three markers located on chromosome 2B, which differentiated G557-6 together with the Aegilops speltoides parent from its sister line and from the recurrent parent Favorit. To our knowledge this is the first report of heat tolerance gene(s) transfer from Aegilops speltoides to hexaploid wheat, and the identified line might contribute to diversification of gene sources in breeding for heat tolerance. Further studies are necessary to indicate which of the three identified markers could be best for marker assisted selection in crosses with this line.
Effects of Cultivar and Nitrogen Dose on Grain Eight in Romanian Winter Barley
Authors: Vasilescu Liliana , Petcu Eugen , Sîrbu Alexandrina , Bude Alexandru
Published: June 2023

During 2014-2016 at National Agricultural Research and Development Institute Fundulea three yield trials with winter barley cultivars under three levels of nitrogen fertilization were performed. The objective of this study was the evaluation of Romanian winter six and two row barley cultivars across three years, in order to analyse the effects of cultivar and fertilizer dose on yield and grain weight. As the main source of variation, the nitrogen level influenced significant the grain yield, which registered a progressive increase according to nitrogen dose, while the grain weight decreased from the second to third nitrogen level. Influence of grain weight on yield was different and much stronger in a few cases, comparing winter six row with two row varieties and their reaction to the nitrogen dose. Variations in grain weight were related to the number of row/spike and at the three levels of nitrogen fertilization were highly correlated (r = 0.93*** and 0.85***). The most productive winter six row varieties registered on average the lowest grain weight (Cardinal, Smarald and Lucian) and the highest yield. Winter two row variety Artemis and Gabriela presented an increased value of grain weight at 100 kg ha-1 nitrogen level and this quality index contributed to achieve higher yield.
„Succesiv” – a New Monoecious Hemp Cultivar Created at ARDS Secuieni, Neamţ County
Authors: Popa Lorena Diana , Buburuz Alexandra-Andreea , Isticioaia Simona Florina , Găucă Constantin , Teliban Gabriel Ciprian
Published: June 2023

„Succesiv” is a monoecious hemp cultivar created at the Agricultural Research & Development Station Secuieni, registered in 2017 and obtained by isolation, complex hybridization on families (2011 - Z 7x4, M x 7, M 3x3, M 6x5, C x 9) and repeated selection. The new variety is characterized by long fibers with a length of 1.3-1.5 m in stem culture and 1.3-2.2 m in seed culture. The yield in the main crop is 4.2-5 t/ha fibers and 900-1200 kg/ha of seed, while in successive crops the seed yield reaches 800-1100 kg/ha.
Long-Term Effect of the Soil Tillage and Fertilization Systems on Certain Soil Attributes and on the Winter Wheat Yields in the Transylvanian Plain
Authors: Chețan Felicia , Russu Florin , Mureşanu Felicia
Published: June 2023

The Transylvanian Plain has a particular aspect, as the hilly areas are predominant and here the soil erosion phenomena through levigation are frequently encountered. The direct seeding in crop residues of the preceding crop (mulch), as well as the rotation of the crops are practices that reduce this phenomenon, contributing to the maintenance and amelioration of the soil quality. Starting from these considerations, in the agricultural year 2006-2007, a polyfactorial yield trial was performed at Agricultural Research and Development Station (ARDS) Turda, for a period of ten years, during which the evolution of the main chemical characteristics of the soil and of the wheat yields under the influence of the tillage systems, fertilization, rotation, and the climatic conditions specific for this area were monitored. The content of macroelements (N, P, K) registered in time major changes in both soil tillage systems, especially in the no-tillage (NT) system along a depth of 0-20 cm. In this area, the soil tillage systems had a rather small impact on the formation of wheat yields. Conventional soil-tillage system (CS) favoured wheat yields over the first years, but this effect gradually diminished, so that during the last three years the yields in the NT system were significantly higher.
Effect of Some Herbicides and Their Mixtures with Growth Regulator and Foliar Fertilizer on Protein Content in Cotton (Gossypium hirsutum L.) Seeds
Authors: Barakova Teodora , Delchev Grozi , Valkova Neli , Sturzu Rodica , Meluca Cristina , Cojocaru Jeni
Published: June 2023

For the first time in the world we established that the highest protein content in seeds of cultivar Helius was obtained with vegetative treatment with herbicides Goal 2 E, Linuron 45 SC, Wing P and Merlin 750 WG. The highest protein content in seeds of cultivar Darmy was obtained with vegetative treatment with herbicides Goal 2 E, Wing P and Basagran 480 SL. The highest phytotoxicity on protein content in seeds of cultivar Helius was shown by the herbicide Basagran 480 SL and all herbicide combinations with the growth regulator Amalgerol and the foliar fertilizer Lactofol O. The strongest phytotoxic effects on seeds of cultivar Darmy was produced by the herbicides Linuron 45 SC and Merlin 750 WG and herbicide mixture Wing P + Lactofol O. For the first time, we established that, from the point of view of the technology for cotton growing of cultivar Helius, the most valuable are tank mixtures Goal 2 E + Amalgerol, Linuron 45 SC + Amalgerol, Goal 2 E + Lactofol O, as well as the single use of herbicides Goal 2 E, Linuron 45 SC, Wing P and Merlin 750 WG. Technologically the most valuable in cotton cultivar Darmy were herbicide combinations Goal 2 E + Amalgerol, Wing P + Amalgerol, Merlin 750 WG + Amalgerol, Basagran 480 SL + Amalgerol, Goal 2 E + Lactofol O, Linuron 45 SC + Lactofol O, Merlin 750 WG + Lactofol O and Basagrain 480 SL + Lactofol O, and the herbicides Goal 2 E, Wing P and Basagran 480 SL.
A Science-Policy Interface: Stakeholders’ Interactive Consultations on Soil and Land Management Research Needs, Threats and Policies
Authors: Dumitraşcu Monica , Ştefănescu Sorin Liviu , Tabără Valeriu , Dumitru Mihail
Published: June 2023

The article describes steps taken by the Romanian National Focal Point within the EU HORIZON 2020 project „INSPIRATION” to raise awareness, contact relevant actors and national funding bodies and get formal support aiming to implement research actions complying with a set of 17 integrated and 22 thematic research themes within the frame of a EU Strategic Research Agenda. One of the main national research funders, the Ministry of Agriculture and Rural Development is looking to an European level cooperation with regard to the topics of „Integrated Environmental Assessment and Soil Monitoring for Europe”, „Bio-Economy – unleashing potential while sustaining soils”, „Farming systems to maintain soil fertility and yields” and „Sustainable management to restore ecological and socio-economic values of degraded land”. An internal survey among the national stakeholders regarding the most challenging and worth to be financed research needs has revealed certain good overlaps with the those recorded in the Ministry of Agriculture and Rural Development, a clear defined focus on targets related mainly to rural development prospective but also an obvious neglect of the existing urban soil and land issues. The assessment of the views of the two national stakeholder groups (decision makers/planners as well as employees of local public administration) with regard to soil and land management, carried by a questionnaire based qualitative approach, emphasize the high awareness of most respondents on the fact that the general public interest on soil issues and soil protection is negligible or even entirely absent. A much stronger commitment and shared responsibility among many stakeholders with regard to soil health and soil conservation is expected. Most of the respondents perceive the current national policies and their enforcement regarding soil protection as inconsistent. The national decision makers/planners view the issue of a Soil European Directive as an important requirement.
Survey of Perception and Behavioral Intention of the Young Generation Regarding Telemedicine Services During the COVID-19 Pandemic
Authors: Suci Megawati  , M. Noer Falaq Al Amin  , Yusriadi Yusriadi
Published: June 2023

This study aims to analyze the perceptions of the younger generation and their behavioral intentions to use telemedicine services. This type of research is an online survey using Microsoft Forms. The data analysis technique used an inductive, general qualitative approach. The respondents were 175 people. The survey was conducted between June and August 2021. The study obtained two results, namely, the first is the perception of the younger generation regarding telemedicine services. Second, it was found that the average respondent's behavioral intention was 4.10 out of 5, or the category agreed to use telemedicine services. Viewed from the seven measurement variables, the average response of respondents is 65%, or Telemedicine is categorized as well received. The younger generation has a good perception of telemedicine services, and the existence of behavioral intention indicates individual readiness to use telemedicine services not only during the pandemic but also after the passing of the COVID-19 pandemic. Telemedicine has become a new habit.
MEASURING THE EFFECTIVENESS OF ZAKAT DISTRIBUTION: A PROPOSAL TOWARDS CIBEST MODEL IMPROVEMENT
Authors: Gusti Oka Widana  , Arief Rahman Hakim
Published: June 2023

The Badan Amil Zakat Nasional (Baznas) is the Indonesia organization of zakat management (OPZ) needs to measure the effectiveness of their programs that have been implemented in alleviating zakat beneficiaries (mustahik) from poverty. In Indonesia, Cibest model is the most popular measurement tools that try to find material value and spiritual value in determine the effectiveness of Baznas’s zakat program. However, the Cibest method has shortcomings, namely in the measurement of spiritual value which only emphasizes on the religiosity aspect. This study proposes an improved measurement of spiritual value using the concept of Islamic spirituality and tries to implement it in Baznas of Berau Regency, East Kalimantan Province of Indonesia. Measurements were taken on a sample of 60 mustahik who had experienced the economic empowerment program. The measurement results show that, the condition of mustahik after the program show improvement in material and spiritual values. However, the validation using the wilcoxon signed rank test reflected that only spiritual value that apply the concept of Islamic spirituality showed significant difference. A discussion of the phenomenon is presented on the last part of this study.
Non-Smoking Area Implementation and Habbit Change in Bugis Ethnic, Sidrap Regency, Indonesia
Authors: Achmad R. Muttaqien Al-Madin  , Amran Razak  , Darmawansyah  , Suriah  , Alimin Maidin  , Anwar Mallongi  , Mutia Nur Rahmah
Published: June 2023

This study to provide an overview regarding the implementation of Non Smoking Areas (Kawasan Tanpa Rokok) on the Bugis Ethnic in Sidenreng Rappang (Sidrap) Regency, South Sulawesi, Indonesia. This research was conducted using a qualitative method by collecting data through interviews and Focus Group Discussion (FGD) methods with related literature and reviewing various regulations issued by the government to support the existing data. The results shows that the implementation of the KTR has not complied by some of the community, so there are still many violations committed regarding the implementation of KTR in public places. Legal implementation related to violations of the Non Smoking Areas is considered still weak and need to improve but the habit changes made was in the series of "Mappacci" activities in Carawali village, no longer serving cigarettes but instead giving plant seeds to the bride and groom. However, this good implementation cannot be followed up due to the Covid-19 Pandemic. The community considered not ready to accept the sanctions. Outreach, promotional and preventive efforts really need to be massively increased to increase public knowledge regarding the rules and dangers of smoking but in carawali village, they can replace old habits with new ones.
Đánh giá kết quả điều trị phẫu thuật tắc mạch mạc treo ruột cấp tính tại Bệnh viện Bình Dân
Authors: Trần Mộc Hiệp , Trương Nguyễn Hoài Linh , Nguyễn Công Minh
Published: June 2023

- Đặt vấn đề: Tắc mạch mạc treo ruột đòi hỏi được chẩn đoán sớm và chính xác trước khi ruột hoại tử nhằm giúp giảm tỉ lệ tử vong sau mổ. Nghiên cứu này được thực hiện để mô tả đặc điểm lâm sàng, cận lâm sàng, nguyên nhân của tắc mạch và đánh giá hiệu quả điều trị.
- Phương pháp nghiên cứu: Hồi cứu hồ sơ bệnh án tại phòng lưu trữ hồ sơ bệnh viện Bình Dân từ 01/2015 - 06/2021. Tất cả những thông tin của bệnh nhân được thu thập theo một mẫu bệnh án nghiên cứu.
- Kết quả: Nghiên cứu ghi nhận 27 bệnh nhân độ tuổi trung bình là 50,8 với tỉ số giới tính là 1,7 (male/female). Tất cả bệnh nhân có triệu chứng đau bụng, và kèm theo các vấn đề rung nhĩ 15,8%, suy tim 15,8%, tăng huyết áp 36,8%. Sau mổ, ghi nhận các biến chứng gồm suy đa tạng 40,5%, sốc nhiễm trùng 7,4%. Kết quả điều trị đạt tốt ở 25,8%, trung bình 51,9%, xấu 22,2%.
- Kết luận: Điều trị phẫu thuật tắc mạch mạc treo ruột vẫn còn nhiều thách thức liên quan đến tỉ lệ biến chứng cao. Các nghiên cứu cần tiếp tục tìm hiểu các yếu tố liên quan đến biến chứng để dự phòng.

Abstract

- Introduction: Mesenteric embolism must be early and correctly diagnosed before the bowel has necrosis, which will decrease mortality after an operation. This study was conducted to describe clinical, paraclinical, and etiological characteristics of mesenteric embolism and assess operative outcomes.
- Methods: A retrospective study based on patient records of Binh Dan hospital from January 2015 to Jun 2021. All patient’s characteristics were collected bya study form.
- Results: Our study selected 27 mesenteric embolism patients, whose average age is 50,8 and gender ratio is 1.7. All patients have stomachaches, whichcomprised 15,8% with atrial fibrillation, 15,8% with heart failure, and 36,8% with hypertension. At post - operation, 40,5% patients had multiorgan dysfunction syndrome and 7,4% with septic shock. Overall, the operative outcome of 25,8% of patients was good; 51,9% was moderate; and 22,2% was bad.
- Conclusions: The acute mesenteric embolism surgery remains challenging due to its high complication rate. Future studies should continue to explore associated factors of complications for complications prevention.
Reconstruction of the Pacific plate: Constraints from ocean floor and eastern China
Authors: Sun Weidong , Li Shuguang
Published: June 2023

Magnetic anomalies show that the Pacific plate rotated counterclockwise by ~50°, induced by the eruption of the Ontong Java Plateau at ~125 Ma. Meanwhile, the drifting direction of the Pacific plate also changed from southwestward (~265°) to northwestward (~300°). The rotation promoted the destruction of the North China Craton (NCC) and induced slab rollback, which was responsible for the Cretaceous large-scale magmatism and mineralization in eastern China. Correspondingly, the orientation of the spreading ridge between the Pacific and Izanagi plates has also changed, which was originally towards ~290° before 125 Ma. Such a configuration is consistent with Late Mesozoic geologic events in eastern China. The spatiotemporal distribution of magmatic rocks and ore deposits suggests that the Pacific plate began to subduct southwestward underneath southeastern China in the Early Jurassic (≥175 Ma), and reached the Nanling Mountains. In contrast, the Izanagi Plate was still connected to the NCC before ~170 Ma. Its northwestward drift before/during subduction initiation resulted in compression that wedged the NCC into the East Asian continent and resulted in fold belts in three directions in weak zones surrounding the NCC and strike-slip faults along the south and the north margins (known as Event A of the Yanshanian Movement [165-170 Ma]). This is followed by extension during slab rollback. The Izanagi plate rotated clockwise by ~50° between 149.35 Ma and 140.42 Ma, which was coincident with commencement of Event B of the Yanshanian Movement, both of which resulted from the collision between a micro-continent on the Izanagi plate and eastern China.
MATO: An updated tool for capturing and analyzing cytotaxonomic and morphological data
Authors: Liu Lijia , Wang Qiang , Zhang Zhen , He Xingjin , Yu Yan
Published: June 2023

Advancements in bioinformatics and genomics have heightened the significance of cytotaxonomy and morphology as fields of study. The quantification of various characters forms the basis of morphological investigations. However, due to variations among characters across different taxa, manual measurements are commonly employed. Yet, existing measurement tools for morphology and cytotaxonomy lack repeatability and statistical analysis compatibility. To address these limitations, we have developed MATO (Measurement and Analysis tools) as an updated version of the KaryoType software. MATO aims to accelerate repetitive morphometric tasks and yield quantitative and reproducible outcomes. By introducing size-based Karyotyping and a novel grouping algorithm, MATO enhances chromosome measurements and karyotype analysis. Additionally, MATO encompasses a broad range of morphometric characters, including length, size, angle, count, and color, frequently utilized in plant taxonomy. It features an improved graphic user interface for macOS and Windows operating systems and is available for free download at https://github.com/sculab/MATO. MATO empowers researchers in the fields of cytotaxonomy and morphology by providing enhanced measurement capabilities, statistical analysis compatibility, and improved user-friendliness, facilitating advancements in their research endeavors.
A whole-cell hydrogen peroxide biosensor and its application in visual food analysis
Authors: Gao Yi-Zhou , Wang Yun , Ji Mengmeng , Zhou Ning-Yi , Huang Wei E.
Published: June 2023

Hydrogen peroxide (H2O2) is broadly used in the food industry for bleaching, sterilization, and deodorization. Detection of H2O2 in food/drinks is important for food safety. In this study, the H2O2-inducible whole-cell biosensor KT2440 [pPahpC] was constructed based on the bacterial strain Pseudomonas putida KT2440. The H2O2-inducible promoter PahpC was fused with the reporter gene cluster luxCDABE to produce an H2O2-inducible bioluminescent biosensor. KT2440 [pPahpC] semi-quantitatively detected H2O2 in the range of 10 - 2000 µM. This H2O2 biosensor exhibited high specificity and no response to other commonly used redox agents, such as KMnO4, Ca(ClO)2, and thiourea. This KT2440 [pPahpC] biosensor was used to detect H2O2 in food samples, demonstrating its robust performance. The whole-cell biosensor provides a new approach to the detection of H2O2 in the food industry.
AA467197 controls the hyperactivation of the NLRP3 inflammasome during infection
Authors: Liu Qiannv , Li Weitao , Qian Yan , Wang Chunlei , Xia Pengyan
Published: June 2023

The hyperactivation of NLRP3 plays an essential role during infections, in which case a small portion of GSDMD is processed to become active and IL-1β is secreted for a long duration. However, the mechanism underlying NLRP3 hyperactivation remains unclear. Here we took use of the CRISPR/Cas9 technology to screen for genes involved in NLRP3 hyperactivation. We discovered that AA467197 suppresses the NLRP3 inflammasome to a hyperactivation state, and without affecting the canonical NLRP3 inflammasome activation. During infections caused by low doses of pathogens, AA467197 deficient cells have elevated rates of cell death compared with wild-type controls. Mechanistically, AA467197 binds to GSDMD and hinders its processing by the oligomerized caspase-1. Cells deficient for AA467197 undergo canonical NLRP3 inflammasome activation when encountering low-dose infections, leading to severe GSDMD cleavage and cell pyroptosis. Our results uncover a molecular mechanism for the exquisite regulation of the NLRP3 inflammasome in a hyperactivated state, which might be useful for further clinical treatment of infections.