bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification and Repair of Structural Damage of Building Foundations Based on Genetic Algorithm
Authors: Yachun Hu Yachun Hu
Published: January 2024

The identification and repair of structural damage in building foundations are critical tasks in ensuring the safety and integrity of civil infrastructure. This research paper proposes a method based on genetic algorithms for the identification and repair of structural damage in building foundations. The proposed approach begins with the identification of structural damage by analysing sensor data, including vibration measurements and strain gauges, obtained from the building's foundation. A genetic algorithm is then employed to optimize the identification process by iteratively searching for the most likely damage scenarios based on the collected sensor data. Once the damage is identified, the algorithm proceeds to develop an optimal repair strategy. It considers various parameters, such as available repair materials, budget constraints, and desired structural performance, to generate a repair plan that minimizes cost and maximizes the restoration of structural integrity. The repair plan is optimized using the genetic algorithm to find the best combination of repair techniques and materials. To evaluate the effectiveness of the proposed method, extensive simulations and case studies are conducted on different types of building foundations. The performance of the algorithm is assessed in terms of its accuracy in identifying structural damage and the efficiency of the repair strategy.
Financial Statement Analysis Based on RNN-RBM Model
Authors: Fang Liu Fang Liu
Published: January 2024

Financial statement analysis is a critical component of decision-making for businesses, investors, and financial professionals. To enhance the accuracy and effectiveness of such analysis, this paper introduces the application of an innovative approach known as the Intelligent Swarm Regression ARIMA Model. This advanced model combines the power of swarm intelligence with ARIMA (AutoRegressive Integrated Moving Average) time series forecasting, offering a robust methodology for predicting and analyzing key financial metrics. The study begins by providing an overview of the Intelligent Swarm Regression ARIMA model and its application to financial data. Through a comprehensive analysis of financial statements, including market capitalization, revenue, net income, and other crucial indicators, the model's efficacy in predicting future values is evaluated. Additionally, the paper examines the deviations between predicted and actual financial values, offering insights into the model's accuracy and areas for potential improvement. The findings of this research are invaluable for investors, financial analysts, and companies seeking to optimize their financial performance and strategic decision-making. By leveraging the Intelligent Swarm Regression ARIMA Model, stakeholders can make well-informed choices that lead to better financial outcomes and a competitive advantage in a dynamic economic landscape. This paper represents a significant step forward in the financial analysis, providing a practical methodology and a pathway to enhanced financial decision-making. As the importance of financial data continues to grow, this research offers a promising avenue for achieving financial success and stability.
An Integrative Approach to Healthcare Enhancement through Internet of Things, Artificial Intelligence and Smart City Innovations
Authors: Archana V. Potnurwar Et al.
Published: January 2024

In order to improve healthcare outcomes, this study investigates the synergistic potential of combining Internet of Things (IoT), artificial intelligence (AI), and smart city innovations. The study examines how the confluence of various technologies creates a cohesive ecosystem, enhancing patient care, accessibility, and overall system efficiency against the backdrop of current healthcare difficulties. Using a conceptual framework, the study tackles privacy and data security issues in this networked healthcare environment. Methodologically, case studies and surveys are used in conjunction with quantitative and qualitative methods to examine the effects of this integration. Initial results show better patient outcomes, more accessibility to healthcare, and higher operational effectiveness. The consequences, difficulties, and moral issues surrounding the integration are all covered throughout the conversation. In addition to offering insightful information to the healthcare field, the research suggests directions for further investigation. In summary, this research proposes a holistic strategy for improving healthcare by carefully combining IoT, AI, and smart city innovations.
Zero Trust Security Paradigm: A Comprehensive Survey and Research Analysis
Authors: Shaikh Ashfaq Et al.
Published: January 2024

This paper investigates the Zero Trust Security Paradigm, a cutting-edge strategy for cybersecurity that defies established paradigms. We look at the operation of this method and its real-world applications, covering everything from the fundamental ideas to their application. We identify the benefits, drawbacks, and potential applications of Zero Trust Security through a thorough analysis of case studies and current research. The purpose of this research is to add to the continuing discussion regarding the best ways to safeguard digital systems in our globally interconnected environment, thereby assisting researchers and cybersecurity professionals. The Zero Trust Security Paradigm calls for a major departure from the conventional trust-based network models in response to the growing threat of cyberattacks. This research looks at how companies might apply and adjust to this paradigm considering the changing threat environment. The goal of the work is to give cybersecurity experts useful insights to help them manage the challenges of securing contemporary digital infrastructures by addressing both theoretical underpinnings and practical factors.
Federated Texture Classification: Implementing Colorectal Histology Image Analysis using Federated Learning
Authors: Jyoti L. Bangare Et al.
Published: January 2024

This research explores neural network models' performance and adaptability in the context of the colorectal histology dataset as it pertains to the categorization of textures. Inception, VGG19, and MobileNet, together with their federated variations, are among the models being examined. The study includes a detailed evaluation, parameter analysis, and training information. VGG19 stands out as a particularly noteworthy high performance, with remarkable accuracy, precision, and recall. Due to its lightweight design, MobileNet performs less well, but its potential is enhanced by the addition of federated learning. The accuracy and precision of federated versions of Inception, VGG19, MobileNet, and a Lightweight MobileNet model are competitive, with FL-Lightweight MobileNet achieving outstanding results. The work has important ramifications for the field of medical image analysis since it shows how federated learning may balance the need for data confidentiality and privacy with model performance. This study marks a turning point in the development of medical imaging by opening the door to in-depth investigation into the complex interactions across federated paradigms. Furthermore, these results provide a compelling story in the wider discussion of how cutting-edge technologies and the pressing needs of contemporary healthcare might work together.
The Mediating Role of Work Engagement between Happiness at Work and Employee Performance: Smart PLS Approach
Authors: Anurag Kasana Komal Nagar, Dr. Surekha Rana,
Published: January 2024

This study aimed to determine the role of work engagement as a mediator in the relationship between employee happiness at work and employee performance. The research was carried out on people who were employed in the IT sector in the cities of Noida and Gurugram located in the NCR region. A structured adapted questionnaire was used. The statistical software Smart PLS 4 was used to analyze the gathered data. The analysis focused on the measurement model, structural model, and then the model’s out of sample prediction. Findings shows that happiness at work affects the job engagement. Job engagement affects employee performance. Happiness at work also affects the employee performance. Job engagement partially mediates the relationship between happiness at work and employee performance. Additionally, model has a considerable amount of prediction power that is find out on the model’s out of sample prediction power. This model can be utilized in subsequent research endeavors. The utilization of job engagement for the first time as a mediator between happiness and performance is a significant contribution to the originality of this study.
Declaración de Luz
Authors: Ramirez Moreno David Fernando , Jarrin Ballesteros Humberto , Agredo Ramos Andrés Fabián
Published: January 2024

¿Tiene usted un espíritu joven y le gusta la curiosidad? Imagine, entonces, una trenza tejida entre un escritor, un físico y un diseñador gráfico. Una trenza que tiene imaginación, sensibilidad, tres discrusos, o cuatro, con el de doña Luz, una señora popular que cuenta todo lo que a ella (siendo no cualquier luz) le ha sucedido y los usos y abusos de los que ha sido objeto no sólo por los científicos, sino también por las deidades y por los poetas, esos pequeños dioses, al decir de Vicente Huidobro.
Site-specific regulation of translation initiation through RNA modifications
Authors: Arango Daniel
Published: January 2024

The Arango lab works to unravel the molecular mechanisms by which post-transcriptional modifications of RNA regulate mRNA processing, stability, and translation and how this interplay affects cell fate decisions in homeostasis and disease. With more than 150 ribonucleotide modifications in all classes of RNA, the epitranscriptome has become a crucial regulatory layer of gene expression regulation. Although the vast diversity of RNA modifications entails an immense regulatory potential, deciphering the epitranscriptome is an enormous scientific challenge. Yet, its decryption will reveal fundamental aspects of gene expression regulation during normal metabolism and disease, which can potentially be leveraged for therapeutic applications. This seminar will focus on our recent findings that acetylation of cytidines in RNA regulates translation in a position-specific manner and the Arango’s laboratory ongoing studies to determine the mechanisms by which the RNA acetyltransferase complexes promote cell proliferation and cancer growth.
Immune cell gene expression signatures in diffuse glioma are associated with IDH mutation status, patient outcome and malignant cell state, and highlight the importance of specific cell subsets in glioma biology
Authors: Mehani Bharati
Published: January 2024

This presentation will discuss the biological and clinical significance of the immune cell environment related to IDH mutation status, patient prognosis and the mesenchymal state in diffuse gliomas. The tumor micro-environment (TME) plays critical role in various cancers, including gliomas. We estimated immune cell type-specific gene expression profiles in glioma datasets and found estimated proportions and gene expression profiles that varied according to IDH mutation status. Cluster-of-cluster analyses of immune cell gene expression identified groups with distinct survival outcomes in IDH-WT and IDH-MUT tumors. We verified these findings by applying a signature matrix derived from single-cell RNA Seq data. To link immune cell signatures with outcomes in checkpoint therapy, we found a significant association of monocytic gene expression clusters with patient survival and with mesenchymal scores. Integrating immune cell-based gene expressions with previously described malignant cell states in glioma demonstrated that macrophage M0 abundance significantly correlated with mesenchymal state in IDH-WT gliomas. Overall, these results highlight biological and clinical significance of immune cell environment related to IDH mutation status, patient prognosis and the mesenchymal state in diffuse gliomas.
Altered propionate metabolism contributes to tumour progression and aggressiveness
Authors: Gomes Ana P.
Published: January 2024

The reprogramming of cellular metabolism for both the development of cancer and its progression to metastasis presents a ripe area of research. Far from simply existing as the process of breakdown and buildup of nutrients in the cell, cellular metabolism has become recognized as a fundamental determinant of cellular identity and function. It is now evident that certain metabolites can drive cancer progression and metastasis, functioning in autocrine, paracrine and endocrine fashions. We have previously demonstrated how a systemic age-induced increase of a single metabolite, contributes to poor cancer prognosis and increased cancer-related mortality in elderly patients, highlighting the importance of metabolic alterations in determining tumor progression. Building on these findings, we have identified that production of this age-related metabolite occurs in cancer cells through deregulation of its biosynthetic pathway and elicits a transcriptional reprogramming that enables cancer cells to attain the traits necessary for progression into metastatic disease.
Evaluating neighbourhood justice: Measuring and attributing outcomes for a community justice program
Authors: Ross Stuart
Published: January 2024

Community justice programs such as the Red Hook Court in New York and the Neighbourhood Justice Centre in the City of Yarra in Melbourne represent an innovative approach to a range of crime and safety issues by engaging the community in identifying problems and generating solutions. However, as with many small-scale or specialist court programs, community courts have found it difficult to provide robust outcome evaluation data to demonstrate their effectiveness. These barriers include establishing cause and effect relationships between community court interventions and programs and large-scale social outcomes, controlling for the variations in offender characteristics (particularly risk) that arise as a by-product of the community court model, and detecting differences in outcomes when sample sizes are relatively small. In this article, three criminal justice outcomes relevant to community courts are considered—crime rates, community order completion rates and recidivism rates, and the methodological challenges involved in using them in evaluation studies. Clear benefits arising for the community justice model are reported; however, the importance of considering a wider range of outcomes when assessing a program’s worth, such as victim satisfaction and community engagement is noted.
Arson-associated homicide in Australia: A five year follow-up
Authors: Ferguson Claire , Doley Rebekah , Watt Bruce , Lyneham Mathew , Payne Jason
Published: January 2024

Arson homicides are rare, representing only two percent of all homicides in Australia each year. In this study, data was collected from the AIC’s National Homicide Monitoring Program (NHMP) to build on previous research undertaken into arson-associated homicides (Davies & Mouzos 2007) and to provide more detailed analysis of cases and offenders. Over the period 1989 to 2010, there were 123 incidents of arson-associated homicide, involving 170 unique victims and 131 offenders. The majority of incidents (63%) occurred in the victim’s home and more than half (57%) of all victims were male. It was found that there has been a 44 percent increase in the number of incidents in the past decade. It is evident that a considerable proportion of the identified arson homicides involved a high degree of premeditation and planning. These homicides were commonly committed by an offender who was well known to the victim, with over half of the victims (56%) specifically targeted by the offender. This paper therefore provides a valuable insight into the nature of arson homicides and signposts areas for further investigation.
The ‘oldest tricks in the book’ don’t work! Reports of burglary by DUMA detainees in Western Australia
Authors: Gately Natalie , Fleming Jennifer , McGinty Nathalie , Scott Anthony
Published: January 2024

Research investigating the methods and motivations of burglars has typically focused on incarcerated offenders. The Australian Institute of Criminology’s Drug Use Monitoring in Australia (DUMA) program provided an opportunity for the authors to explore the methods and motivations of those actively involved in committing burglaries, whether or not they had actually been caught or detained for that offence. The findings support Routine Activity Theory, indicating that offenders consider a number of factors in determining whether a property will be targeted for a break and enter offence. As might be expected, opportunistic burglars choose easy to access properties, stay a minimum length of time and take goods that can be disposed of easily. It was concluded that simple prevention strategies could minimise the risk of becoming a victim of opportunistic burglary, which also has implications for law enforcement, the security industry and insurance agencies.
Parole supervision and reoffending
Authors: Wan Wai-Yin , Poynton Suzanne , Doorn Gerard , Weatherburn Don
Published: January 2024

Although more than 12,000 offenders are on parole at any given time, little is known about the effectiveness of parole supervision in reducing reoffending. The few studies that have been conducted involve samples of parolees released from prison in other countries. The present study is the first to evaluate the effectiveness of parole supervision in Australia. It compares several groups of offenders, matched in terms of the factors likely to affect reoffending, but differing in terms of whether they are supervised and if supervised, in terms of the intensity of supervision. The results suggest that parole supervision does reduce the risk of reoffending.
Sudanese Australians and crime: Police and community perspectives
Authors: Coventry Garry , Dawes Glenn , Moston Stephen , Palmer Darren
Published: January 2024

Migration and refugee resettlement has been and continues to be, an important element of population growth for Australia. In recent times, more than 35,000 refugees escaping the Sudan civil war have settled in Australia—with approximately 6,500 people now living in Queensland. With each wave of immigration, the capacity of new citizens to adapt and succeed in their new home has been a key societal concern. Often, there has been some focus on how law-abiding the new immigrant communities will be and their perceived level of involvement with the criminal justice system. In this paper, a summary is provided of the findings from four interdependent studies designed to explore Sudanese Australian experiences with the Queensland criminal justice system and to challenge some misconceptions. The studies provide an analysis of media representations of Sudanese Australians, views of the Queensland police regarding the relative level of offending by Sudanese people, and a survey and focus groups conducted with Sudanese Australians. Ensuring that Sudanese Australians are given a voice and a way of communicating their experiences and concerns in dealing with Australian criminal justice and civil systems, is an important dimension of the research.
Modelling the effectiveness of counter-terrorism interventions
Authors: White Gentry , Mazerolle Lorraine , Porter Michael , Chalk Peter
Published: January 2024

This paper models the connection between the rate of terrorist events and the occurrence of counter-terrorism interventions in order to examine the relative effectiveness of the interventions. Using data from the Global Terrorism Database and information on interventions collected by the authors, model results show that for Indonesia, the Philippines and Thailand, reactive types of interventions, such as arrests, indictments, imprisonments, assassinations and other operational activities show the strongest association with the rate of terrorism incidents over time. Maximum effectiveness—as measured by the number of days after an intervention exhibits its full inhibitory effect on the risk of subsequent terrorist attacks—was found to be greatest in Indonesia and the Philippines (11 days and 8 days respectively) and least effective in Thailand (impacting only on the day the intervention occurred). This paper also examines the number of days after an intervention that the response was able to maintain a high level of effectiveness—17 days in Indonesia, 13 days in the Philippines and one day in Thailand. There were significant differences across these three countries and these results highlight a new approach to conceptualising the interaction between terrorism and counter-terrorism efforts.
Effective drink driving prevention and enforcement strategies: Approaches to improving practice
Authors: Terer Kiptoo , Brown Rick
Published: January 2024

Although Australia has achieved significant reductions in drink driving since the 1980s, it continues to be a leading cause of road fatalities and injuries. A range of countermeasures have been used to address drink driving, although their effectiveness can be affected by a range of implementation issues. Through a review of Australian and international literature, this paper outlines principles of effective drink driving countermeasures. It presents guidelines for the effective enforcement and prevention of drink driving through random breath testing, publicity campaigns, penalties and targeted interventions. The evidence outlined in this paper highlights the importance of implementing effective countermeasures for different populations. Among the general population, personal contact with random breath testing has the strongest deterrent impact on drink driving. Also, targeted interventions that identify the underlying causes of offending are crucial in addressing recidivist drink drivers; a group that contributes disproportionately to road trauma. Strategies that effectively decrease drink driving are vital in the ongoing effort to improve road safety in Australia.
Rezension von: Lattner, Bernhard J.; Trefz, Bernhard, Technik in feinster Art
Authors: Majev Markus P. , Lattner Bernhard J. , Trefz Bernhard
Published: January 2024

Bernhard J. Lattner/Bernhard Trefz: Technik in feinster Art – Technikforum Backnang. Backnang: Edition Lattner 2020. 140 S., zahlr. Abb.
Terörle Mücadelede Ceza Hukukunun Teorik Rolü
Authors: Çınar İsmail
Published: January 2024

From Turkey's perspective, the fight against terrorism can be defined as any strong and sustained effort of the state with its nation in order to achieve the goal of preventing the use of force and violence within the borders of the country by a certain organization with the aim of changing the political structure prevailing in Turkish society and having an intimidating effect on the public. In this struggle, the state uses some preventive, preventive, deterrent and intimidating tools. Criminal law and the fight against terrorism are two closely related institutions. The fact that the ultimate aim of both criminal law and the fight against terrorism is to ensure social peace and order makes it necessary to determine the relationship between the two institutions. For this reason, in this study, the problems caused by the unity of purpose between the two institutions, the problem of instrumentalization of criminal law in terms of the fight against terrorism, and finally, the problems and solutions of the departure from the basic principles of criminal law in the criminal law regulations made in the context of the fight against terrorism will be discussed.
"Mukayeseli Hukukta Terör Örgütü Kurma, Yönetme, Üye Olma ve Üye Olmamakla Birlikte Örgüte Bilerek Yardım Etme Suçlarında Etkin Pişmanlık Halleri"
Authors: Ünal Ertuğrul
Published: January 2024

Effective remorse, as a rule, is an institution that allows the judge to reduce or eliminate the punishment based on the efforts made by the perpetrator to eliminate the effects of the consequence or to eliminate the danger to the legal value after the commission of the typical act, all elements of which are realised in cases expressly regulated by the law. Since the prevention of the continuation of the danger in terms of the protected legal value is sought in inchoate offences, the evaluation of the conditions of effective remorse in these crimes, the discretion of the judge and the criteria to be taken as basis in his evaluation constitute a more problematic area. For the crime of terrorist organisation (Law No. 3713, Art. 7), which is established as an abstract-concrete danger crime in our law, the provision of effective remorse is foreseen as a personal reason that removes or reduces the punishment (Criminal Code, Art. 314/3). In our study, the legal nature and application conditions of this provision will be discussed in comparison with different legal systems.
Haksızlık Hatası Bağlamında Terör ve Anayasayı İhlal Suçlarına Yönelik Yargıtay Uygulamasına İlişkin Düşünceler
Authors: Yavuz Hakan A.
Published: January 2024

In this study, the practice of Yargıtay (the Turkish Court of Cassation) regarding terrorism and violating constituiton crimes in the context of the misteke of unjustness, which is accepted as an important reflection of the culpability theory that dominates the Turkish Penal Code (TPC), are discussed in detail. The mistake of unjustness, which is considered within the scope of the mistake, which is evaluated independently from the structural elements of the crime, is accepted as an important indicator of the abandonment of the classical criminal law doctrine. The mistake of unjustness is regulated within the scope of article 30 of the Turkish Criminal Code within the context of error provisions. With the regulation, it has been stipulated that the person who makes an inevitable mistake regarding the act he committed constitutes an unjustness cannot be punished. During the Turkish Penal Code No. 765, the practice of the Yargıtay was to discuss the issue in the context of the moral element of the crime, under the influence of the theory of intent, which largely dominated the doctrine at that time. In the period of the TPC No. 5237, despite the theory of culpability that dominated the doctrine and the law, the practice of the Yargıtay has not yet been sufficiently clarified and it does not seem that there are still traces of the theory of intent to a great extent in the decisions. In this study, in some decisions rendered by the 16th and 3rd Criminal Chambers of the Court of Cassation, the determinations regarding the mistake of unjustness, especially in terms of the legal characterization of the mistake and the procedural provisions to be applied in case of acceptance of the mistake, which are not accurate, will be discussed in detail.
Karşılaştırmalı Hukukta Terör Örgütü Listelerinin Ceza Hukukundaki ve Yargılamasındaki Rolü
Authors: Erman Rağıp Barış
Published: January 2024

Designating terrorist organizations under certain lists is an approach that emerged in the field of international law, especially in order to implement administrative and preventive measures. However, in many countries, de facto or de jure effects of the lists on criminal law and prosecution have begun to emerge, which has led to dangers such as the shift of criminal proceedings to the preventive and intelligence field, the danger of losing the independence of criminal courts, and the narrowing of the authority of the courts in terms of deliberating the guilt of the defendant. In this study, these developments are examined in the context of comparative law and suggestions are made regarding the position of terrorism lists within the framework of the law.
Terörle İlişkili Siyasi Partilere Uygulanan Kapatmaya Alternatif Tedbirler ve Yaptırımlar: Kavramsal Zorluklar ve Pratik Arayışlar
Authors: Kontacı Ersoy
Published: January 2024

There is a growing disagreement in the world regarding the definition of terrorism, being one of the most problematic areas today. Ironically, such disagreement seems to have occurred at a time of great increase in the number of national and international legal norms put into force to prevent and punish terrorist acts. The result is that the concept of “terrorism” and all related debates are shifting from the world of law, defined by “certainty”, to the realm of politics, defined by “uncertainty”. One particularly challenging intersection where terrorism, terrorist acts, and especially “association with terrorism” becomes highly complicated is where individual and collective actions claimed to be of this nature are intertwined with the exercise of fundamental rights and freedoms. This difficulty becomes particularly evident when allegations of association with terrorism are intertwined with freedom of political association and subsequent opportunities for political expression and action. The main challenge in this context appears in the form of dilemmas caused by the banning of political parties, which amplifies problems related to the democratic theory and the rights and freedoms. According to some observers, banning of political parties eliminates, in most cases, not the problematic dynamics that are reflected by the political parties, but the possibility of these dynamics being absorbed into constitutionally legitimate grounds. Based on all these evaluations and from a comparative perspective, this study introduces some alternative measures and sanctions imposed on political parties believed to be associated with terrorism, in addition to some brief performance analyzes of those measures and sanctions. As a result, it is underlined that one of the most challenging public law matters of the 21st century is to develop new tools that will meet the needs of “proportionality” from a legal, and “sustainability” from a political perspective.
2018/1727 Sayılı Avrupa Parlamentosu Ve Konsey Tüzüğü Özelinde, Avrupa Birliği’nde Terörle Mücadele Bakımından Cezai Takibatlarda Dijital Bilgi Paylaşımına Dair Gelişmeler
Authors: Genç Fatma Umay
Published: January 2024

As terrorist offenses generally possess a transnational character, the fight against terrorism necessitates international cooperation. The European Union Agency for Criminal Justice Cooperation (Eurojust) plays an important role in cooperation between European Union member states in the fight against terrorism and serious crimes. In criminal prosecutions, the utilization of digital technologies for communication and the exchange of information between authorities in different states ensures that this cooperation is much more effective and expedites the process significantly. For this reason, in recent years, active advancements have been made in digital information exchange in the European Union, especially in the context of combating terrorism and other serious cross-border crimes, and Eurojust also plays an effective role in the initiatives undertaken in this context. On 1 December 2021, the European Commission adopted a Proposal for a Regulation amending Regulation (EU) 2018/1727 of the European Parliament and the Council and Council Decision 2005/671/JHA, as regards the digital information exchange in terrorism cases under the title “digital exchange of information in terrorism cases” to further enhance the digitalization of justice systems, effectively combat terrorism and other serious transnational crimes, and render the exchange of information between national competent authorities, Eurojust and the European Judicial Counter Terrorism Register. Following the adoption of this Proposal by the European Parliament and the Council of the European Union, Regulation (EU) 2023/2131 of the European Parliament and of the Council of 4 October 2023, which shall enter into force on 31 October 2023, was published in the Official Journal of the European Union on 11 October 2023. The Regulation essentially introduces significant changes in the Regulation (EU) 2018/1727 of the European Parliament and of the Council, known as the “Eurojust Regulation”. These developments are the subject of this Article, as they are considerably important and very current in terms of counter-terrorism efforts within the EU and digital information sharing in this context.
Influence of Integrated use of Organic and Inorganic sources of nutrients on quality parameters of Sweet Corn
Authors: Nagaraju G. Siva , Vani P. Madhu , Rani P. Prasuna
Published: January 2024

A field experiment entitled “Sustaining soil health and productivity of sweet corn through nutrient management” was conducted at Agricultural College Farm, Bapatla using sweet corn hybrid maize Mahy-301 as a test crop. The experiment comprising of 10 treatments was laid out in completely randomized block design and were replicated thrice. The biochemical composition of sweet corn kernel was significantly influenced by the different nutrient management practices. The maximum protein content (10.56%) was observed in T2 (100 per cent RDF) whereas the highest starch content (54.33 %) and sucrose content (8.57 %) was observed in treatment which received 50 per cent RDF with FYM @ 5 t ha-1
Projection Modelling Based Geospatial Analysis of Land use Land Cover Change at Hasdeo River Watershed of Chhattisgarh, India
Authors: Singh S.S. , Singh Ankita
Published: January 2024

The land-use change in the Hasdeo River watershed has been observed with all its sub watersheds. The changing patterns may portend localized impairment to forest and agricultural sub watershed. In this study, Land-use land-cover (LULC) change was modeled using terrset modeling software. The Hasdeo river watershed (geographical extent of 10,396.373 km2 ) is a part of the Mahanadi River basin in Chhattisgarh, India. Hasdeo River originates from Sonhat (Koriya district, Chhattisgarh) and is submerged into the river Mahanadi. It flows in the stretch of 330 km from north to south direction. This river has eight subwatersheds with rich forest diversity and perennial water resources. IRS-1D & P6 LISS3 images from the years 2000 and 2013 were used to investigate the LULC pattern. This has been used for the prediction of LULC change patterns for the years 2035 and 2050 based on the Markov model. The result of the project LU/LC map for the year 2000-2035 and 2000-2050 show that the dense forest area will decrease by 12.30% and 15.68% respectively. The settlement area will significantly increase by 20.13% (2035) and 34.90% (2050) and will be the dominant land-use type in the watershed. It shows that population pressure will directly affect forest vegetation and agriculture activities. This study will be helpful for the effective sustainability approach for maintaining the proper LULC pattern of land-use change in the watershed. This changing pattern will also influence the farming pattern in the catchment area of the Hasdeo River watershed.
Studies on growth and yield of sesame (Sesamum indicum) as influenced by different levels of nitrogen and nano urea
Authors: Singh Surya Dev , Jadhav Dhanshree Bharat , Pati Sushant Sukumar
Published: January 2024

A field experiment entitled ‘Studies on growth and yield of sesame (Sesamum indicum) as influenced by different levels of nitrogen and nano urea’ was conducted at Agronomy fields of Lovely Professional University, Phagwara, Punjab during the kharif season of 2022-23. The experimental field had sandy loam soil with pH 8.27. The experiment consisted twelve treatments arranged in Split Plot Design which was replicated thrice. The main plot consisted of three levels of mineral nitrogen (urea) viz. F1 -0%, F2 - 50% , F3 - 100% and subplot consisted of four levels of nano urea form of nitrogen viz. N1 - 0%, N2 - 10%, N3 - 20%, N4 - 25%. Among the mineral nitrogen application, highest of all growth and yield parameters were recorded with F3 and lower growth and yield parameters recorded with F1 . Similarly in case of nano nitrogen foliar application, highest of growth and yield parameters recorded with N4 which was found to be on par with N3 and the lowest of all the parameters recorded with N1 . However, their interaction was found to be nonsignificant for all the parameters of the study
Genetic Variability, Heritability, and Genetic Advancement in Ajwain (Trachyspermum ammi L.)
Authors: Singh Navneet , Singh Anup Pratap , Singh Rajan , Singh Anshuman , V.P Pandey
Published: January 2024

Sixty ajwain accessions and four check types, coupled with genetic diversity for several traits, were studied. The test weight had the highest PCV followed by the weight of grain/umbels, branches per plant, yield per plant, number of umbels per plant, plant height, and number of umblets/umbels. GCV that predict test weight are followed by the number of umbels per plant, plant height, yield per plant, weight of grain per umbel, days to 50% flowering, and days to maturity. Every character’s heritability estimate ranged from high to moderate. Only the number of umbels per plant showed high heritability combined with high genetic advance, and plant height showed high heritability combined with moderate genetic advance. Other traits, measured as a percentage of the mean, showed high heritability combined with low genetic advance, highlighting the significance of these traits in yield improvement programs.
Effect of insecticide molecules on fall armyworm Spodoptera frugiperda (J. E. Smith) on maize under field conditions
Authors: Matti M.V. , Mallapur C.P.
Published: January 2024

Observations on per cent pest infestation by counting all plants were counted per plot and oviposition were taken on 20 randomly selected plants in each treatment on weekly basis and per cent cob damage were recorded 20 randomly selected plants in each treatment. Simultaneously, the counts on natural enemies (predators, parasitized larvae and larval cadavers affected by diseases) were taken on 10 randomly selected plants in each treatment. The grain yield from individual treatment was recorded separately and expressed on hectare basis. The lowest number of egg masses were recorded in chemical treatments and the highest number of egg masses were recorded in untreated check and biopesticides at 21 and 28 days after germination. No egg masses were recorded in all treatments at 70 days after germination. The lowest percent pest infestation recorded inchemical treatments. However, the highest percent pest infestation was recorded in in untreated check and biopesticides at 21 and 28 days after germination. No pest infestation were recorded in all treatments at 70 days after germination. With respect to natural enemy activity, nimbecidine 0.03% @ 3 ml/l, Bacillus thuringiensis var. kurstaki 17,600 IU/mg @ 2 g/l, Metarhiziumrileyi 2 × 108 CFU @ 2 g/l and chloranitraniliprole 18.5 SC @ 0.20 ml/l treatments were as good as untreated check by safe guarding the natural enemy population. Spinetoram 11.7 SC spray @ 0.5 ml/l resulted in highest grain yield which was at par with cyantraniliprole 10 OD @ 0.3 ml/l. Lower yields were obtained from the plots which received biopesticides application.
Role of Various Techniques in Bioremediation of Contaminated Water: A Review
Authors: Ojha Minita
Published: January 2024

Industrialization, urbanization and modernization have caused enormous harm to the environment. The toxic pollutants generated through industries and other activities are deteriorating the quality of soil, air and water day by day leading to a serious threat to all living beings on the earth. So, to improve the quality of environment various physico-chemical methods of remediation were used but they had various limitations such as high energy requirements, time constraints, high operational and maintenance cost. Nanotechnology has been emerged as a boon for mankind. It has found application along with bioremediation to remove contaminants from water. Although bioremediation methods have enormous potential as a green method but they require long treatment time and sometimes high concentration of contaminants in water may prove toxic to microorganisms. To overcome these limitations, nanoparticles are used along with living microbiomes to clean the contaminants from water which is called nano bioremediation. The present paper reviews use of metal nanoparticles in the treatment of contaminated groundwater, dye wastewater and domestic wastewater through bioremediation, application of nanoparticles in increasing the efficiency of microorganisms and how limitations of various methods can be overcome by combining nanoparticles with bioremediation.
A review on integrated disease management of red rot of sugarcane caused by Colletotrichum falcatum
Authors: Kurian Jyothi Anna , M.D. Jehani
Published: January 2024

Red rot of sugarcane caused by Colletotrichum falcatum Went is one of the devastating diseases of sugarcane, causing significant loss to sugarcane production in India and other countries. However, varietal breakdown to red rot caused severe epiphytic in countries, particularly in Asia, where resistant varieties fail on a regular basis. In India between 1932 and 1942, a virulent strain of red rot materialized, which resulted in the withdrawal of numerous susceptible types and finally endangered the sugar industry. Among the pathogens of sugarcane Colletotrichum falcatum causes the most substantial economic loss (5-50%) in sugarcane. Because of the pathogen’s highly variable nature, which breaks red rot resistant varieties in a short period of time, breeding resistant varieties is the major challenge for sugarcane breeders. Currently, there is no feasible way to prevent the disease from spreading, so we need to follow integrated disease management. The red rot of sugarcane management will benefit from integration of cultural practices, resistant varieties, physical practices, biocontrol practices and chemical practices.
Epidemiology of COVID-19 cases and vaccination coverage in Seremban District, Malaysia, 2021
Authors: Khairul Amin Khairul Hafidz Alkhair , Bujang Nur Nadiatul Asyikin , Abas Siti Aishah , Zulkifli Nadiatul Ima , Amir Syuaib Aiman , Shah Sharina Mohd , Ganesan Veshny , Aziz Nurul Fazilah , Jalaluddin Muhammad Adli , Wahil Mohd Shahrol Abd , Hasani Muhamad Hazizi Muhamad , Ali Noor Khalili Mohd , Yusof Mohamad Paid
Published: January 2024

Objective: Malaysia’s first case of coronavirus disease (COVID-19) was reported in January 2020, with the first case in the state of Negeri Sembilan diagnosed on 17 February 2020. The National COVID-19 Immunisation Programme commenced in early March 2021 in Negeri Sembilan. This study describes the COVID-19 cases and vaccination coverage in Seremban District, Negeri Sembilan, during 2021. Methods: The demographic and clinical characteristics of COVID-19 cases and the district’s vaccination coverage were described. Vaccination coverage was plotted against COVID-19 cases on the epidemic curve. The chi-square test was used to examine the differences between the vaccination status of COVID-19 cases and severity category, hospitalization status and mortality. Results: In Seremban District, there were 65 879 confirmed cases of COVID-19 in 2021. The data revealed that the 21–30-year age group had the highest proportion of cases (16 365; 24.8%), the majority of cases were male (58.3%), and most cases were from the sub-district of Ampangan (23.1%). The majority of cases were Malaysian. Over half (53.5%) were symptomatic, with fever (29.8%) and cough (22.8%) being the most frequently reported symptoms. COVID-19 vaccination status was significantly associated with severity category, hospitalization and mortality (P < 0.001 for all categories). Discussion: This is the first study to describe two-dose vaccination coverage and the trend in COVID-19 cases in Seremban District. It was observed that COVID-19 cases had been reduced following more than 60.0% vaccination coverage.
Antimicrobial use in patients with confirmed COVID-19 infection: a cross-sectional study
Authors: Dominguez Roanne , Domingo-Cereno Nicole , Josue-Dominguez Rosemarie
Published: January 2024

Objective: The ongoing coronavirus disease (COVID-19) pandemic is exacerbating optimal antibiotic stewardship and the promotion of bacterial resistance due to the over-prescribing of antibiotics for patients with COVID-19. This study aimed to determine the prevalence of antibiotic therapy in patients with COVID-19 infection and explore the association of antibiotic prescribing with patients’ demographics and clinical characteristics. Methods: A retrospective analytical cross-sectional study was conducted at a tertiary hospital and training institution in Baguio City, the Philippines from March 2020 to March 2021. Univariate and multivariable logistic regression was used to compare COVID-19 patients who were prescribed antibiotics with those who were not. Results: Of the 157 patients hospitalized with COVID-19 infection, 90 (57.3%) received antibiotics, with only three (1.9%) having confirmed bacterial coinfection. Among those prescribed antibiotics, azithromycin was the most frequently prescribed antibiotic (43.3%), followed by ceftriaxone (33.1%), piperacillin-tazobactam (15.3%), ceftazidime (5.1%), moxifloxacin (1.3%), amikacin (0.6%), ampicillin and sulbactam (0.6%), cefuroxime (0.6%), metronidazole (0.6%) and penicillin (0.6%). Antibiotic use was associated with factors such as having bilateral infiltrates on chest X-ray, the severity of COVID-19 infection and high white blood cell counts. Discussion: Antibiotic use was high among patients with confirmed COVID-19 despite a low prevalence of confirmed bacterial coinfection. This may be due to the similarities in the clinical manifestations of both viral and bacterial infections. Judicious use of antibiotics in the treatment of COVID-19, as well as other viral infections (for example, influenza), is required to prevent antibiotic resistance in accordance with the principles of antimicrobial stewardship.
Rise and development of women leaders: a study in a cooperative in Mato Grosso, MT, Brazil
Authors: Silva Ivânia Freire da , Fialho Francisco Antônio Pereira
Published: January 2024

In the current scenario, women have the opportunity to assume positions of greater responsibility and technical demand. Despite the persistence of numerous obstacles and challenges, female leadership has a presence in organizations. This article investigates the specificities that drove the increase in women in leadership and practices aimed at their development in a cooperative in Mato Grosso, MT. A qualitative research method employed, using interviews and content analysis to elucidate the facts narratives provided by participants. The results indicate that female leadership stands out due to the virtue of acting democratically and with empathy. Furthermore, leadership development improves trust in the relationship between leader and subordinate through the use of 360-degree feedback, one of the practices used in the cooperative.
Factors associated with the sleep quality in older adults and the risk of functional loss and frailty
Authors: Prates Raquel Arigony Corrêa Sant’Anna , Santos Gabrieli de Fátima Prudêncio dos , Moreira Paulo Ricardo , Krug Marilia de Rosso
Published: January 2024

This study aims to analyze the associated factors with the sleep quality of older adults at risk of functional loss and frailty, during social isolation due to the COVID 19 pandemic. The study included 68 older adults at risk of functional loss and frailty, living in a city in the interior of Rio Grande do Sul-RS state, Brazil. The outcome variables were: risk of functional loss and frailty, assessed by PRISMA 7 and sleep quality assessed by a questionnaire included in Comprehensive Geriatric Assessment Questionnaire. Data were analyzed with the support of descriptive statistics, absolute frequency distributions and measures of central and inferential tendency. The chi-square test was used to identify the association between the variables studied, (p ≤0.05). More than 40% of men and more than 50% of women had sleep quality disturbance. There was a statistically significant association (p = 0.041) between the presence of one comorbidity. and sleep quality, that is, there are more elderly people with associated comorbidities presenting sleep disorders (67.7%) compared to older people who have only on e comorbidity (32.3%). It is concluded that the presence of comorbidities is significantly associated with poor sleep quality.