bluuebunny/crossref_metadata_2025 huggingface dataset:
GROWTH, MOMENTUM OF INTEGRATED REPORTING AS NEW CORPORATE FINANCIAL REPORTING OF SELECTED INDIAN COMPANIES
Authors: Suman Devarapalli , Tripathy Dr. Sasikanth , Mohapatra Dr. Lalitha Mohan
Published: May 2024

The objective of this paper is to highlight disclosure level of various elements of International Integrated Reporting Framework (IIRF). The study enumerates the growth and development of IR in Indian scenario as a conceptual mode and to present disclosure of financial and non-financial information. The present paper highlights the IIRC proposed Six Capitals Index (SCI), Seven Guiding Principles (GP), and Eight Content Elements index (CEI). The sample size for the study is thirty-five listed companies for a period of four years i.e., 2018 to 2021. The study employed content analysis, disclosure index and a comparative two tailed test for two different time periods. The study found the growth and development of IR (Integrated Reporting) in India is significantly increased due to voluntary adoption. The present paper considers only the initial stage of selected Indian companies from IIRC website and their year of IR practices. The study is limited by the sample size, time period and empirical analysis. This is the first study to find out a comparative two tailed test, CDI and CEI
POROUS CARBONACEOUS MATERIALS FOR PESTICIDE REMOVAL FROM VARIOUS ENVIRONMENTAL MATRICES: A BRIEF OVERVIEW
Authors: Sarkar Subhasis , Mukhopadhyay Arkadeb , Mandal Abhishek , Barman Manas
Published: May 2024

Pesticides are considered as an inevitable input in sustainable food production as they play a crucial role in the maximization of agricultural productivity. Despite their useful role in modern farming, the indiscriminate and widespread uses of pesticides possess a serious threat to the environment. Around 90% of the applied pesticides are lost in the different environmental compartments, either directly through intentional use (such as agronomic practices) or unintentionally (e.g. spray drift, leaching, surface runoff, etc.). For sustainable environmental pollution mitigation, it is necessary to alleviate the ecosystem from unwanted pesticide residues. Adsorption has been demonstrated as a productive, economically feasible, yet, facile method for removing organic contaminants from different matrices. One of the innovative technologies for eliminating a wide spectrum of pesticide molecules from soil and water is the use of low-cost adsorbents. Talking about such sorbents, porous carbonaceous materials such as graphene and graphene oxides, carbon nanofibers, carbon nanotubes, biochar, etc. possess unique physical and chemical properties, as well as diverse electrical and mechanical characteristics which render them useful for potential application in remediation processes. Enhanced contaminant removal efficiency can be achieved by the use of these materials owing to their high surface area, significant pore volume, diverse surface chemistry with immense modification potential, and high conductivity. Adsorption of pesticide molecules on porous carbon materials is a complex process that depends upon various factors including not only the physicochemical properties of the sorbents and the adsorbates but the overall solution chemistry is also involved in the phenomena, as well. Therefore, a spotlight in the form of this chapter has been shown upon the role of the physicochemical nature of porous carbonaceous materials, used as adsorbents of pesticide residues, the mechanistic perspectives and removal efficiencies from different environmental matrices have been summarized
INFLUENCE OF SILICON ON PLANT UPTAKE OF HEAVY METALS AND METALLOID FROM SOIL
Authors: Roy Plabani , Ash Moumita
Published: May 2024

The second-most common element in the crust of the earth is silicon, performs a variety of beneficial roles in soils and plants. It helps to reduce a variety of biotic (diseases and pest insects) and abiotic pressures (salt, drought and heavy metals).Si influences the heavy metal and metalloid uptake by plants through different mechanisms including (1) Si bioavailability in soil is influenced by biological factors, (2) by altering the soil's properties, (3) heavy metal co-precipitation, (4) heavy metals being changed into less solubility forms, (5) root architecturemodification, (6) controlling antioxidant enzymes, (7) gene expression that controls how wellheavy metals are absorbed by and transported to plants is regulated both up and down. In this chapter it is discussed about the various mechanisms involved in heavy metal and metalloid uptake by Silicon. The application of industrial by products (fly ash, steel slag etc.) decreased the conversion of soluble metals into insoluble metal silicates, phosphates, and hydroxides reduces the intake of heavy metals. Si application can reduce heavy metal bioavailability in soil. Silicon nanoparticles along with Pb-resistant microbes significantly reduced the Pb concentration in plants. Si application changes mineral composition of Fe plaque in rice root which decreases both shoot As and grain As. A significant decrease in Cd and Pb toxicity of wheat along with increased grain yield can be possible by the application of organic and inorganic silicon fertilisers. By preventing the production of low affinity cation transporter, silicon nanoparticles can decrease the uptake of Cd into rice grains and phloem (OsLCT1). Through decreased electrolytic leakage, lower levels of malondialdehyde and hydrogen peroxide, and increased antioxidant enzyme activity, si treatment reduces Cd toxicity in cotton. To assess the viability of using Si for the remediation of metalcontaminated soils, extensive field tests are needed
AUTOMATION INTERVENTION: AN OVERVIEW OF ROBOTS IN FOOD PROCESSING INDUSTRY
Authors: Lalita Miss , Kumar Puneet x , Prakash Om
Published: May 2024

The food manufacturing industry is one of the key manufacturing sectors across the world and is a vital strategic element in all national economies. Currently, it’s fifth most automated industry in the organised sector, but it has one of the lowest levels of robotization i.e. 3%. Previously, Industrial robots were only used for packaging and palletizing, now numerous types of industrial robots are currently being utilized in food processing industries (FPI), generally they are focused on the handling high-volume but single-product lines. The availability of highly effective robots, such as the Delta class of robot swiftly perform pick-and-place operations with food products on the production lines and, Articulated robots carrying out specific tasks that demands high level of dexterity and strength. The major advancement in the use of industrial robots is the ability to handle products that are not wrapped, it includes stacking pancakes, waffles, bread, and pizza dough before loading them onto a conveyor or feeding into a wrappers machine. Modern manufacturing techniques like three-dimensional (3-D) printing has simplified the designing and manufacturing of complex grippers used for precise and soft handling of delicate food products. The lighter, compact, and smaller gripper reduces the mass of the tool, allowing for better product handling with less wear and tear. These robots also comply with IP67 rating that makes them more hygienic with no ingress of dust and water in it. The application of industrial robots does not only increase the productivity, but also ensures the food safety and security. Cobots are becoming an essential component of the FPI, particularly in the service sector. With the inclusion of cyberphysical systems (CPS), human operators could instruct robots to carry out activities, ensuring the significant role of industrial robots in the Industry 4.0 revolution
RECENT ADVANCES IN RADIOTRACER TECHNIQUES FOR SOIL EROSION AND SEDIMENTATION STUDIES
Authors: Ash Moumita , Roy Plabani
Published: May 2024

Globally, soil degradation driven by erosion is a severe hazard to food production and ecosystem services. Approximately 95 million hectares of land are affected by soil erosion in India. Therefore, it is the need for an hour to assess the extent and rates of soil erosion. This chapter explains how fallout radionuclides (FRNs), such as 137Cs, 7Be, 210Pb excess, etc., are useful for studying soil erosion rate. This method can provide retrospective data on erosion/deposition rates and spatial patterns of soil redistribution over short-term (a few days), medium-term (decades), and long-term (centuries) periods. These radioactive inventory data were converted into quantitative estimates of erosion and deposition rates using a variety of theoretical models. Different models, including basic proportional models (PM) and mass balance models (MBM), are extensively employed and require the inclusion of all the crucial factors influencing how these FRNs are distributed in the soil profile. Mass balance model- 3 (MBM-3) is regarded as one of the best models because it also accounts for soil redistribution caused by tillage erosion. In general, the spatial patterns of soil redistribution provided by 137Cs and soil- morphological techniques are comparable. However, the USLEbased model provides accurate estimates of sediment mobilization from slopes but does not adequately represent the spatial pattern of soil redistribution because it does not account for within-slope redeposition. For further validation of the use of the radiotracer technique in different landscapes and land uses, a large number of databases are required
CROP SIMULATION MODEL, REMOTE SENSING, GIS AND THEIR INTEGRATION FOR YIELD MONITORING
Authors: Adak Sujan , Mandal Nandita , Alam Khurshid
Published: May 2024

Numerous weathers, soil, and management factors that differ greatly in area and time considerably affect crop growth and productivity. Farmers can establish site-specific crop management practices while also learning useful information about their fields and crops through yield monitoring. The reveling of regional and temporal variability in crop yields is one of the key advantages of the yield monitoring system. The yield maps that are the end result of monitoring have a significant influence on the decision-making process. Mechanistic crop growth simulation models are helpful for predicting agricultural yield because they define crop development processes and quantify the impact of weather, soil, and management factors on crop growth and yield. Getting the spatial information on model input parameters, however, is the main obstacle to their application at the regional level. Data from remote sensing (RS), collected repeatedly over agricultural land, is useful for identifying and mapping crops as well as gauging crop vigour. In order to model and track crop growth at the regional level with inputs from remote sensing, crop simulation models (CSM) that have been successful in field-scale applications are being modified in a GIS framework with RS data. As a result, assessments are vulnerable to local soil variability, seasonal weather conditions, and crop management techniques. The leaf area index (LAI), crop phenology, crop distribution, and crop environment can all be learned from the RS data. This data is integrated with CSM in a variety of methods, including direct variable forcing, parameter re-calibration, and the use of simulation-observation discrepancies in a variable for yield monitoring correctiona
BIO-FORTIFICATION OF WHEAT FOR IMPROVING NUTRITIONAL SECURITY IN CLIMATE CHANGE SCENARIO
Authors: Prasad S. V. Sai , Ambati Divya , Phuke Rahul M , Gautam Amit , Malviya Prakash
Published: May 2024

BIO-FORTIFICATION OF WHEAT FOR IMPROVING NUTRITIONAL SECURITY IN CLIMATE CHANGE SCENARIO
SCOPE OF NANOTECHNOLOGY IN AGRICULTURAL ENGINEERING
Authors: Kushwah Ajay , Chowdhury Manojit
Published: May 2024

The study of the effects of the introduction of new technologies, such as nanotechnology, into the agriculture sector, is of particular importance because this sector is one of the social and economic elements and indicators of sustainable development in any country. One of the main areas of agricultural engineering that deals with the mechanization of agricultural processes is farm machinery and power engineering. In recent years, agricultural engineering has used nanomaterials as an alternative solution to improve the performance of agricultural equipment, develop agricultural machinery, improve the performance of various prime movers by strengthening various components, enhancing wear and corrosion resistance, protecting agricultural equipment with nanocoatings, and enhancing the performance of machinery tires, lubricants, and coolants. This technology also helps to enhance the safety and comfort of agricultural workers. it also plays a significant role in the area of renewable energy. As a result, the systematic use of nanotechnology in agricultural engineering is demonstrated in this chapter
HIGHLIGHTS OF MAJOR PROBLEMS AND THEIR MANAGEMENT IN APPLE ORCHARD
Authors: Zeba Arshi , Hussain Rafakat , Aarti Miss , Panwar Anita
Published: May 2024

Apple is considered an important fruit crop which belongs to the family Rosaceae. Apples are very prone to many different types of biotic and abiotic factors such as insect-pests, diseases and unfavourable weather conditions which may cause damage to apple orchards. The most common pests that cause significant damage to apple include mites, apple scab (Venturia inaequalis), Powdery mildew fungus (Podosphaera leucotricha), Fire blight of Apple (Erwinia amylovora), Root rots (Phytophthora spp.), Codling moth (Cydia pomonella), Scale insect (Quadraspidiotus perniciosus), and certain grasses and weeds which compete with apple trees for nutrient and water (Walsh et al., 1996). IPM techniques are more common and best methods to control the pests, viz. Proper sanitation, mechanical destruction of insects, growing of other crops attracting the major pests of apple, utilization of natural enemies, etc
ENHANCING AGRICULTURAL WATER PRODUCTIVITY OF CROPS AT FIELD SCALE
Authors: Roy Debasish , Ghosh Tridiv , Roy Arkaprava , Gogoi Mithu , Alam Khurshid , Mitra Raktim
Published: May 2024

In order to achieve enhanced water management for sustainable agriculture, food security, and healthy functioning of ecosystem, water productivity must be increased. Agricultural water productivity is the agricultural output, in physical or monetary terms, generated per unit of water consumed or applied. Plants take up water primarily from soil. Thus, judicious water management in field starts with real-time assessment of soil moisture content viain-situ or remote sensing-based methods. This chapter reviews opportunities for improving field-scale water productivity by the use of precision agronomic and water management technologies. In field scale, water productivity, or water use efficiency of crops, can be improved by seed priming, maintaining proper rowdirection of crops, following prudent nutrient management practices to harness synergy of water-nutrient interaction, minimizing water application via drip and sprinkler irrigation or optimizing the same via precision irrigation approaches, reducing unproductive water losses through conservation agricultural practices or application of antitranspirants, and increasing the water retention capacity of soils by applying soil conditioners etc. Identifying the most promising combination of options for improving water productivity is complex and largely determined by the economic capacity of the stakeholders
APPLICATION OF NANOTECHNOLOGY IN AGRICULTURE AND ALLIED SCIENCES
Authors: Ghosh Dr. Sunil Kr. , Karmakar Dr. Rajib , Pramanik Krishnendu , Mandal Gauranga Sundar
Published: May 2024

Nanotechnology is an important study of multi-research and technology. It creates a large utility in many fields viz. agrochemical including insecticides, acaricides, fungicides etc; pharmaceuticals, electronics and agriculture. The utility and beneficial activity of nanotechnology is many. These may be integrated control of pests through the use of nano-material based pesticides. Integrated pest management (IPM) utilized in agri-Horti are not sufficient for pest control. The use of synthetic pesticides has adverse function on living beings, including human health. It also has a bad effect on soil property. So, nanotechnology may render green and effective alternatives for control of pests in agri-horty without any harmful effect on earth. This system may be focused on nano-materials in pest control as recent applications of nano-technology. The benefits in science and technology in the last few years were made in many areas of pesticide usage. It comprises the development of more efficient and non-persistent agro-chemicals and a new path of application that comprises controlled release formulation (CRF). The benefits may be directed towards the successful application of these formulations on crops. It is helpful for the reduction of environmental pollution. In that line, new types of chemicals are developed. Nanomaterials should be evaluated, so that this high technology does not meet the same apprehensions and bottle-neck as faced by GM (genetically modified) crops
PROSPECTS OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE
Authors: odara Samarth G , Begam Shbana , Kaur Ramanjit , Prasad Rajender
Published: May 2024

Agriculture and its allied sectors significantly contribute to the Indian economy's long-term growth and development and a livelihood for the majority of the population that can never be deprecated. Since it has made significant progress toward the agricultural development goals of food security, abundance, and accessibility, it started to pose a serious agricultural crisis to satisfy hunger in the coming period. Although farmers are very innovative and always ready to accept and adopt the latest technologies developed in the farming sector for increasing the farmers’ income but there are many more advanced technologies available and one outcoming technology is the use of robots in the field of agriculture in various farm operations like weed control fertilizer application, automated irrigation, etc. So here the goal of Artificial Intelligence (AI) comes. AI is a discipline that can empower machines to execute tasks in realtime situations and cognitive processing like the human mind. AI in agriculture not only helps the farmers to automate their farming operations like sowing, harvesting, crop monitoring, and sale purchase of their product but also shifts to precise cultivation for precision farming for higher crop yield and better quality by optimizing the inputs/resources. Using AI techniques in various fields of agriculture will provide more useful applications to the sector, which are directly or indirectly helping the world to deal with food production issues for the growing population. Some of the challenges faced by farmers using traditional agricultural methods are as follows: harsh weather conditions, the gap between demand and supplies, competition for growth factors by pests, etc. can be optimized using AI techniques
IMPROVING FARM WOMEN'S NUTRITIONAL SECURITY
Authors: Baidya Karishma , Pusparani Kh. , Jallaraph Dr. Venkteshwar , Mishra Dr. Shubham
Published: May 2024

Rural women are major stakeholders in growth of agricultural sector for the New India. Considering the importance of rural women in ensuring the nutritional security of the rural farm families, various initiatives have been taken from both the Government and non-Government sectors namely the Integrated Child Development Scheme (ICDS), Development of Women and Child in Rural Areas (DWCRA) programme, etc. But, still more efforts are required to address the issue of nutritional security in the country. The concept of nutritional security emerged with the recognition of the necessity to include nutritional aspects in food security. Proper nutrition and balanced diet full of whole grains, fruits and vegetables will help to keep good health throughout life. Inadequate nutrition may lead to less efficiency of work among the rural women. According to a WFP report, about 21.25 percent of the Indian population lives on USD 1.90 per day, with a wide range of inequality and social exclusion. At the household level, the dietary intake of specific individuals involves two major issues – household food demand and intra-household food distribution. Other aspects like habits and knowledge about food processing and feeding practices influence the diet composition as well as their biological utilization. Other factors related to nutritional status may be availability and accessibility to household food, care, qualitative health service and a healthy environment
POTENTIAL AND PROSPECTS OF GROW LIGHTS IN CROP PRODUCTION
Authors: Langangmeilu Golmei , Gaisinmeilu Kamei
Published: May 2024

Plants can be manipulated to meet different needs by changing how they respond to different colors of light. Plants primarily used blue and red color spectrum and some ultraviolet for their photosynthetic reaction. The plants will grow taller and their leaves will be lighter in color if they aren't getting enough regular sunshine. Growing bulbs that provide the precise illumination needed for plants at different growth stages have been made possible by technology. Artificial light can be used for photosynthesis. Utilizing wavelengths to activate specific organic functions is a new area that can be investigated in the world of agricultural applications. One of the most promising directions for future agriculture is the scientific use of light. A fine-tuned management of all vegetation characteristics is now possible thanks to increasingly accurate numerical data on sunshine. Utilizing wavelengths enables cutting-edge crop protection options. In addition to their intensity, spectrum, and energy, LEDs (light emitting diode) are an innovative artificial lighting source for plants, whether used as additional or sole-source lighting. This is because they allow for the precise modulation of metabolic reactions to increase plant quality and production. LEDs are increasingly widely used in agriculture, mostly for leafy vegetables, herbs, and potted plants. Recent improvements in LED technology have made it feasible to accurately modify a crop's lighting schedule. As a result, there are now opportunities to use plants' ability to adapt during development to raise agricultural yield and quality
Identification of Student Learning Difficulties Based on Self, Environment, and Family Aspects in Learning Mathematics at the Elementary School Level
Authors: Sholihah Neneng , Iklimatunnajah Iklimatunnajah , Hartanti Fauzia Dewi , Pitriyani Pipit
Published: May 2024

Basic education is an important foundation for students' academic and social development. Not all students experience ease in obtaining and processing the information taught at school. Education is also the most important factor for the progress of a nation. Student learning difficulties are not only caused by low cognitive factors but are evidenced by deviant behavior or external factors that they experience, such as family and environmental support factors. Family and environmental support can also play an important role in overcoming learning difficulties for elementary school students. This study used a quantitative research design with a cross-sectional approach. This study uses a descriptive approach design that aims to describe and analyze the phenomenon of learning difficulties of elementary school students. The population of this research is the Suradinaya elementary school. Random sampling technique has been used in this study. The instrument used was a learning difficulties questionnaire as a research measurement tool. Based on the diagram above, it can be seen that aspects of the child's self and family aspects have almost the same average percentage, with values of 66% and 65%. Environmental aspects get a higher average percentage, which is equal to 75%. There needs to be cooperation between schools, families, and the surrounding environment in creating a conducive and effective learning environment for students. In conclusion, student learning difficulties are influenced by various factors, both from aspects of the student's self as well as environmental and family factors. Thus, students will be able to achieve maximum academic achievement and achieve success in the future
The Use of Web Learning Media and Entrepreneurship Education E-books
Authors: Persada Alif Ringga , Handoko Hendri
Published: May 2024

The era of digitalization 4.0 has entered into all fields including education. The need for digitalization learning needs to be familiarized by all circles. The purpose of this study is to determine the effectiveness, response and influence of web learning media and educational e-books on entrepreneurship courses. The research method used is quantitative research with experimental research designs. The population is Tadris Mathematics student VII semester IAIN Sheikh Nurjati Cirebon in the academic year 2019/2020. The sampling technique used was purposive sampling, where students were taking entrepreneurship courses. Analysis of the data used is the z test and regression test and descriptive analysis. Based on the results of research that the application of web media and e- book entrepreneurship is effective in learning entrepreneurship courses in terms of completeness of student learning outcomes. Student responses to web learning media and e-books are quite good. And the influence of web media and e-books by 67.4% on the achievement of learning outcomes in entrepreneurship courses.
Development of RME-Based Scrapbook Media for 4th Grade Multiplication Material at SD Muhammadiyah 1 Bawean
Authors: Nuzula Nur Firdausi , Sari Arissona Dia Indah , Subayani Nataria Wahyuning
Published: May 2024

Penelitian ini bertujuan mengembangkan media scrpabook berbasis RME materi perkalian dengan harapan dapat membantu peserta didik meningkatkan pemahaman mengenai pemecahan masalah dengan benar, kondisi belajar yang aktif serta terciptanya media pembelajaran yang sesuai dengan lingkungan Bawean. Metode yang digunakan dalam penelitian pengembangan ini adalah metode pengembangan ADDIE dengan 5 tahapan, yaitu : analisis, perencanaa, pengembangan, implementasi, evaluasi. Subyek dalam penelitian ini adalah 12 peserta didik kelas IV SD Muhammadiyah 1 Bawean. Penelitian ini diambil pada tahun ajaran 2022/2023. Hasil dari penelitian ini adalah : 1) media scrapbook berbasis RME materi perkalian ini dikembangkan berdasarkan dengan 5 tahapan dalam model pengembangan ADDIE, 2) media scrapbook berbasis RME materi perkalian dinyatakan “Sangat Baik” oleh ahli media dengan perolehan nilai sebesar 82% dan oleh ahli materi dengan perolehan nilai sebesar 83%, 3) serta hasil angket respon peserta didik terhadap media scrapbook berbasis RME materi perkalian yang memperoleh hasil “Positif/Baik” dengan nilai 81%
Analysis of Students' Mathematical Literacy Ability in Solving Mathematical Problems in View of Logical Intelligence
Authors: Tuti Isnani  , Hendri Handoko  , Saluky
Published: May 2024

Mathematical literacy skills are really needed by students in everyday life. Apart from that, students' logical intelligence still needs to be developed . Students must be equipped with logical intelligence to improve mathematical literacy skills so they can solve everyday mathematical problems. This research aims to determine students' mathematical literacy abilities in solving mathematical problems in terms of logical intelligence. This research was conducted at SMP Negeri 1 Gebang with subjects as many as 32 students in class VIII C. This research used a qualitative approach with descriptive methods . Data collection techniques in this research were a mathematical literacy ability test , a logical intelligence questionnaire and an interview guide. Logical intelligence is divided into three categories, namely high, medium and low , 1 student is taken from each category to be interviewed . The results of the research show that students' mathematical literacy abilities in solving mathematical problems in terms of high category logical intelligence can fulfill three indicators of mathematical literacy abilities . Mathematical literacy ability in solving students' mathematical problems in terms of logical intelligence in the moderate category can fulfill two indicators of mathematical literacy ability . Mathematical literacy ability in solving students' mathematical problems in terms of low category logical intelligence can fulfill two indicators of mathematical literacy ability . The average mathematical literacy ability of all categories of students' logical intelligence contains two indicators of mathematical literacy ability .
Relevansi Nilai-nilai Pendidikan Agama Islam dengan Program Kegiatan Pramuka di SMK Negeri 1 Kerinci
Authors: Jannah Miftahul , Wiza Rahmi
Published: May 2024

The lack of Islamic religious education lesson hours, which is only 3 lesson hours per week at the SMK/MAK level, plus Prakerind (Industrial Work Practice) for 2 semesters, is of course not enough for a PAI teacher to teach a very broad PAI material. This research aims to determine the relationship between the values of Islamic religious education and the scout activity program at SMK N 1 Kerinci. It is hoped that once the connection between PAI values and scout activities is known, students will be interested in taking part in scout activities to learn and implement PAI values outside of class hours. This research uses a qualitative method with a case study type of research, the object of this research is the scout members of SMK N 1 Kerinci. The data in this research was obtained from observation, interviews and documentation. In analyzing the data the author used source triangulation. The results of this research show that there is a connection between the values of Islamic religious education in several Scout activity programs at SMK N 1 Kerinci. In the scout activity program implemented there are two values of Islamic religious education, namely the value of worship, including: congregational prayer, du'a, natural tadabur, muhasabah, and mutual help. Then the moral values include: Discipline, Patience, Politeness, Independence, Leadership, Willing to help. The habit of worshiping and cultivating these character values can improve the religious attitudes of Scout members.
Examining Self-Esteem as a Moderator of Attachment and Multiple Sexual Partners
Authors:   , Kinderknecht Dezerae
Published: May 2024

The purpose of this study was to examine self-esteem as a moderator of attachment styles (i.e., avoidant, anxious, or secure) and its associated impact on the number of sexual partners an individual has had in their lifetime. Previous literature has found that an individual’s level of self-esteem affects a person’s number of sexual partners. Studies have also been conducted examining the correlation between attachment styles and number of sexual partners, finding that those with an insecure attachment style, namely anxious or avoidant attachment, tend to have more sexual partners. While previous literature has examined these factors separately, this study aimed to examine self-esteem as a moderator of attachment style on the number of sexual partners an individual has. In doing so, we may determine if self-esteem may predict when attachment styles influence decisions regarding the number of sexual partners. The sample for this work consisted of 300 participants who completed surveys assessing levels of self-esteem (Rosenberg Self-Esteem Scale) and attachment style (Revised Adult Attachment Scale - Close Relationships Version). Participants were also asked to respond to a question pertaining to the number of sexual partners they have had in their lifetime. We hypothesized that: (1) avoidantly attached individuals would report a higher number of sexual partners when self-esteem is low, (2) anxiously attached individuals would report a higher number of sexual partners when selfesteem is low, and (3) securely attached individuals would report a lower number of sexual partners when self-esteem is high. Using a moderation analysis, hypotheses one and three were not supported while hypothesis two was partially supported. These results can be used to further understand variables pertaining to hookup culture, as well as provide clinicians with information to help them further create treatment plans pertaining to self-esteem and/or attachment.\rKeywords: self-esteem, attachment style, sexual partners, attachment theory
Subsurface Mapping of Intra-Arbuckle Shale in North-West Kansas Using Well Log Data
Authors:   , Denny Cole
Published: May 2024

The aim of this research was to enhance knowledge of Intra-Arbuckle Shale (IAS) distribution and structure through new maps, cross sections, and well log correlations. Understanding the shale(s) ultimately advances the discernment of complex Arbuckle reservoirs that are critical to the Kansas petroleum industry. IAS has been intercepted by oil wells throughout Kansas, but this study focuses on their presence in portions of Ellis, Rooks, Graham, and Trego counties. To study the distribution and structure of IAS, data from micro-resistivity and gamma ray well logs were collected from more than three hundred Arbuckle oil and gas wells. On each well log, properties such as sub-sea level elevation and depth were taken for both the Arbuckle top contact and shale interceptions. Properties specific to shale included: gamma ray and resistivity values, number of shales present (number of barriers), and reservoir (zone) thicknesses. With these data, maps were created using an inverse distance weighted (IDW) spatial analyst technique through ArcGIS Pro 2.7.0. These maps included a basic Arbuckle top contact structure/elevation map, IAS structure/elevation map, potential number of IAS barriers map, and two zone thickness maps. From the same data, several cross sections and well log correlations were produced. The results from these data, maps, and figures suggest that IAS acts as an impermeable barrier to fluid flow, creating the potential for untapped reservoirs of oil and gas to accumulate beneath them. They also indicate that Intra-Arbuckle Shale in this region has undergone structural deformation and has been subjected to erosion and karstification, resulting in a complex alteration of reservoirs (zones). With help from this study, two things are hoped for: 1) an increased understanding of IAS distribution and structure will benefit the oil industry in future Arbuckle explorations and 2), future researchers will use the information produced to conduct in-depth studies on the Arbuckle formation’s depositional and diagenetic history.
Türkiye’de Biyoloji Eğitiminde Dijital Materyallerin Etkisi Konusunda Yapılan Lisansüstü Çalışmaların İncelenmesi (2014 - 2023) / Investigation of Postgraduate Studies on the Effect of Digital Materials in Biology Education in Turkey (2014 - 2023)
Authors: Azmanoğlu Murat , Deveci Topal Arzu
Published: May 2024

Bu çalışmanın amacı biyoloji öğretiminde kullanılan güncel dijital teknolojileri ve öğretimdeki etkileri konusu ile ilgili yayınlanan lisansüstü tezleri incelemektir. Bu çalışmada alan yazın taraması ile yapılmış, nitel ve nicel verilerin analiz edilmesini sağlayan betimsel içerik analizi yöntemi kullanılmıştır. Bu bağlamda, Türkiye Ulusal Tez Merkezi'nde 2014 - 2023 yılları arasındaki 10 yıllık dönemde yayınlanan lisansüstü tezler “biyoloji eğitimi, e- öğrenme, bilgisayar destekli öğretim, harmanlanmış öğrenme, web tabanlı öğrenme, teknolojik materyal” anahtar kelimeleri ile aranmış ve ölçütlere uygun 36 adet tez incelenmiştir. Lisansüstü tezlerin 6’sının doktora ve 30’unun yüksek lisans tezi olduğu, en fazla 2019 yılında çalışma yayınlandığı görülmüştür. Yapılan çalışmalar genellikle deneysel çalışmalar olduğu için örneklem büyüklüklerinin 100 den az olduğu, en fazla çalışılan örneklem grubunun lise düzeyinde ve öğretmen adayları ile olduğu, en fazla hücre ve fizyoloji konularında çalışmalar yapıldığı ve önceleri bilgisayar destekli eğitim konularında daha çok çalışma yapılırken son zamanlarda arttırılmış gerçeklik konusunun ön plana çıktığı gözlemlenmiştir. Araştırmalarda en çok kullanılan dijital materyaller ise video, animasyon, arttırılmış gerçeklik, karekod, web 2.0 araçlarıdır. Bu çalışma biyoloji eğitiminde kullanılabilecek ve etkililiği kanıtlanmış olan dijital materyallerin neler olduğu ve ne amaçla kullanılabileceğini ortaya koyması açısından önemlidir.
Cartografía discursiva de la noción de ciudadanía
Authors: Hernández Martínez Cuauhtémoc Nattahí
Published: May 2024

Sometido a las más diversas variaciones, la noción de ciudadanía ha terminado por convertirse a fuerza de discursos de toda índole en otro de los muchos conceptos sobresaturados de sentidos y significados: «ciudadanía compleja», «ciudadanía multi o intercultural», «ciudadanía global», «ciudadanía cosmopolita», son sólo algunos de los sentidos con los que circula en los diversos contextos discursivos contemporáneos, algunas de las veces como producto del rápido consumo en el mercado cultural de las ideas.
Editorial del número 5
Authors: Patiño Rodríguez Malpica Mario Iván
Published: May 2024

En esta ocasión presentamos a nuestros lectores de Entretextos un número que aborda un tema crucial para el desarrollo de nuestro país: la participación social y la construcción de ciudadanía. Si bien, en los últimos años se pudieron constatar avances en la democracia representativa, por ejemplo, el incremento en la credibilidad de los procesos electorales, la autonomía de los organismos responsables a nivel nacional y estatal, la creación de instituciones para apoyar los mecanismos de transparencia y rendición de cuentas, como el Instituto Federal de Acceso a la Información Pública, actualmente dichos avances muestran signos claros de debilitamiento o franca involución. Se aborda el tema desde distintas revisiones teóricas sobre ciudadanía, su construcción, su ejercicio y sus limitaciones; sobre los distintos espacios de participación social, tales como: la ciudad como espacio de participación o vía de cohesión social, los movimientos populares, los distintos grupos de población, como son los pobladores y pobladoras de las colonias urbano marginadas.
Assimetrias Regionais e Finanças Locais: Uma Análise de Clusters
Authors: Martins Patricia , Oliveira Irene
Published: May 2024

Analisa-se a dimensão económica, populacional e social das regiões portuguesas, porque as questões demográficas e as desigualdades e coesão social se assumem como importantes desafios estratégicos para a economia portuguesa. São também estudados alguns indicadores das finanças locais e da participação eleitoral para aferir o seu possível impacto na coesão socioeconómica. Esta análise é ainda mais premente no contexto atual, dada a necessidade de repensar as escolhas políticas entre “manteiga e canhões”, sem pôr em causa a sustentabilidade das finanças públicas. Recorrendo à análise de cluster e a um conjunto de 13 variáveis, relativas a dois anos de análise, 2009 e 2019, são identificados quatro grupos de unidades territoriais (NUTS III) que apresentam características económicas, populacionais e sociais semelhantes. As diferenças significativas entre os clusters ao nível dos indicadores das finanças locais permitem duas conclusões importantes: as regiões mais pobres e envelhecidas estão mais dependentes das transferências recebidas do Estado per capita e, logo, das futuras escolhas políticas em relação ao peso das transferências do Estado na despesa pública total; e a abstenção nas eleições autárquicas é menor nas regiões em declínio e quando os eleitores estão mais dependentes do Estado.
KINETICS AND THERMODYNAMIC ASSESSMENT OF RICE HUSK IN AN INERT ATMOSPHERE AS A FEEDSTOCK FOR ALTERNATIVE FUEL PRODUCTION
Authors: Umar S. , Yakatun A. A. , Mohammed I. Y. , Ezeh E. M. , Abakr Y. A.
Published: May 2024

The utilisation of rice husk as a feedstock for alternative fuel production is an area of growing interest due to its abundance and potential as a renewable energy source. This study reports investigation of kinetics and thermodynamics of rice husk pyrolysis in an inert atmosphere. Experimental analysis, including proximate, ultimate, structural composition and thermogravimetric analyses (TGA), were conducted to determine the proxanal, ultanal, chemical composition and pyrolysis characteristics of rice husk under inert conditions. Kinetics of the pyrolysis process was evaluated using distributed activation energy model (DAEM) while thermodynamic parameters such as activation energy (E
A), changes in enthalpy (ΔH), entropy (ΔS),and Gibbs free energy (ΔG) were computed to provide insights into the reaction mechanisms. The feedstock exhibited ash content, fixed carbon, volatile matter, and higher heating value on dry basis of 13.56wt%, 16.37wt%, 70.07wt% and 15.22MJ/kg respectively while the result of ultimate analysis showed carbon, hydrogen, nitrogen, sulphur and oxygen content of 40.95, 5.67, 0.22, 0.09 and 52.17wt%. The chemical composition result (water extractives-free) indicated cellulose, hemicellulos and lignin content of 39.12, 17.56 and 22.43 wt%. The kinetics analysis revealed that the pyrolysis process followed a single-order reaction mechanism and irreversible, suggesting that the pyrolysis reactions proceed in a direction that favors the formation of products. The average E
A, ΔH, ΔS and ΔG required for the pyrolysis reactions was established to be 140.56 kJ/mol, 137.00 kJ/mol, -135.25 J/mol and 222.38 kJ/mol respectively. The comprehensive assessment of the feedstock affirms its suitability for alternative fuel production towards a greener energy landscape.
Promoting a Sustainable Agriculture and Food Sector in China
Authors:   United Nations Environment Programme
Published: May 2024

The concept of TEEB aligns with China's pursuit of effective Green-to-Gold transformations. Among the national innovation bases practicing 'Green is Gold,' Tengchong City in Yunnan Province was chosen as the focal area for TEEBAgriFood due to its full-scale landscape ecosystem, abundant biological and cultural resources, potential influence on policy and management decisions, level of government support, and international comparative relevance. The goal is to offer policy backing for ecological and green development, facilitating the effective Green to Gold transformation in this specific area. Additionally, it aims to serve as a model for other regions, providing insights into promoting the establishment of an ecological civilization across China.
Towards Ubiquitous and Continuous Network Latency Monitoring
Authors:   , Sundberg Simon
Published: May 2024

The Internet plays an important role in modern society, and its network performance impacts billions of users every day. For many network applications, network latency has a large impact on the quality of experience for the end user. Due to a lack of extensive network latency monitoring, the observability of network latency in real networks is often limited. This poses a problem for understanding network latency on the Internet today, and for assessing the impact various solutions that aim to reduce network latency have once they are deployed in the wild. This thesis addresses shortcomings with current solutions for monitoring network latency, in particular the performance of passive monitoring solutions on general-purpose commodity hardware, aiming to enable more ubiquitous latency monitoring and ultimately provide a comprehensive view of real-world network latency. We utilize the recently emerging eBPF technology to implement passive network latency monitoring inside the Linux kernel. Through experiments on a testbed, we show that our solution can monitor packets at over an order of magnitude higher rates than comparable previous solutions, allowing it to successfully monitor the latency for multi-gigabit traffic on general-purpose commodity hardware. Additionally, we demonstrate the feasibility of continuously monitoring network latency by deploying our solution inside an Internet Service Provider and monitoring the network latency for all customer traffic. Through an extensive analysis of the collected latency data, we show large differences in how network latency is distributed across different parts of the network.
Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical data
Authors: Diaz Ivan , Geiger Mario , McKinley Richard Iain
Published: May 2024

Convolutional neural networks (CNNs) allow for parameter sharing and translational equivariance by using convolutional kernels in their linear layers. By restricting these kernels to be SO(3)-steerable, CNNs can further improve parameter sharing and equivariance. These equivariant convolutional layers have several advantages over standard convolutional layers, including increased robustness to unseen poses, smaller network size, and improved sample efficiency. Despite this, most segmentation networks used in medical image analysis continue to rely on standard convolutional kernels. In this paper, we present a new family of segmentation networks that use equivariant voxel convolutions based on spherical harmonics. These SE(3)-equivariant volumetric segmentation networks, which are robust to data poses not seen during training, do not require rotation-based data augmentation during training. In addition, we demonstrate improved segmentation performance in MRI brain tumor and healthy brain structure segmentation tasks, with enhanced robustness to reduced amounts of training data and improved parameter efficiency. Code to reproduce our results, and to implement the equivariant segmentation networks for other tasks is available at http://github.com/SCAN-NRAD/e3nn_Unet.
Council
Authors: Xygka A.
Published: May 2024

This overview highlights the Council’s decision endorsing a report that suggests the reconsideration of unanimity limitations and invites presidencies to act.
A Decade of VAT Reforms in Honduras: A Legislative Fixation on Exemptions
Authors: Ramos Obando R.
Published: May 2024

In this article, the author examines the evolution of a decade (2013-2023) of VAT reforms in Honduras, focusing on legislative tendencies towards increasing VAT exemptions. This trend is analysed in contrast to the country’s considerable tax expenditures, suggesting a lack of strategic coherence in VAT reform efforts. He also identifies gaps in the VAT system, including the absence of comprehensive regulations for the digital economy, the need for an electronic invoicing framework and inadequate definitions regarding the taxation of services and intangible goods, as well as the issue of tax compliance among businesses in the informal economy, proposing a re-evaluation of the simplified tax regime.
On the mission of the Church and the risk of terrorism in Europe
Authors: Králik Jozef , Králiková Kristína
Published: May 2024

Terrorism is basically characterized as particular anti-social behaviour of people, individuals as well as groups or states, publicly also called terror. Terrorism is neither social, nor political or criminological phenomenon of the 21st century. Terror as a result of terrorism in a certain historical period surely is a logical product of particular social development. Therefore, the fight of the state and the majority of society against its acts has become natural. Fight against the terror. Considering the historical significance of the activities of various Christian churches in the area of current European Union, nowadays it might show as purposeful to increase the intensity of the engagement of not only Christian churches in the processes aiming to eliminate potential terrorist attacks. The paper tackles some of the possible ways of the pursuit of this initiative.
Social security for families of military professionals OS SR
Authors: Šrobárová Soňa , Martinská Mária
Published: May 2024

Within the framework of social security for professional soldiers, social security services are its support subsystem, from which spa care (support and maintenance of good health), recreational care (creating conditions and support for quality of life and family background) is provided, and this also includes security the funeral of a former professional soldier.