Cocoa is one of the plantation commodities which has an important role in the national economy. C... more Cocoa is one of the plantation commodities which has an important role in the national economy. Cocoa production for 2014 in East Kalimantan reached 8106 tons/year. Cocoa production cannot be separated from the waste produced, namely cocoa shells. In the cocoa pod shell, there is a pectin content of 6-12%. This research aims to obtain pectin with the optimum yield and water content, equivalent weight and methoxyl content in accordance with the standards of the International Pectin Producers Association. The research was carried out using the hydrolysis method with the different concentration of the HCl solvent, namely 0.065N; 0.075N; 0.1N; 0.2N and 0.3N. 60g of ground dry cocoa shells were hydrolyzed with 750mL of HCl solvent for 2h at an operating temperature of 95°C. The hydrolysis results were added with 96% ethanol in a ratio of 1:1.5 (v/v) until a precipitate was formed, then filtered and washed then dried at 40°C for 8 hours. The optimum pectin yield obtained was 5.1981% at a HCl concentration of 0.1 N with an air content of 9.8452%, an equivalent weight of 1214.9930mg/mmol and a methoxyl content classified as low methoxyl pectin, namely 5.2204%.
University libraries are the center of information resources and literature information in higher... more University libraries are the center of information resources and literature information in higher education institutions. They provide literature information guarantee services for teaching and research in universities, and undertake important responsibilities such as high-quality education, scientific research, and cultural inheritance. This article first elaborates on the connotation of subject services, then points out the problems in current subject services in university libraries, and finally provides strategies for optimizing subject services in university libraries.
DNA extraction holds paramount importance in forensic science, genetic research, and clinical dia... more DNA extraction holds paramount importance in forensic science, genetic research, and clinical diagnostics. It makes the DNA used for analysis in different applications including criminal investigations. After the mid-20 th century, DNA extraction techniques evolved with early methods such as phenol-chloroform extraction which were labor-intensive and used hazardous chemicals. Over time newer techniques like silica-based, magnetic bead-based, and automated systems emerged making DNA extraction more efficient and accessible. Recent innovations include microfluidic and nanotechnology-based methods which aim to enhance yield and sensitivity, particularly for challenging samples like touch DNA. Still, limitations persist especially in handling low-template or degraded DNA samples. Current methods may lack the sensitivity or purity required for reliable analysis of trace DNA posing challenges in extracting usable DNA from minimal or compromised samples. Future innovations may yield breakthroughs that enable reliable DNA extraction even from a minute quantity of samples.
Quarrying is an immemorial activity that physically disturbs soil and impacts soil quality chemic... more Quarrying is an immemorial activity that physically disturbs soil and impacts soil quality chemically. This study assessed the physico-chemical properties of soils around quarry sites of various agricultural zones of Ebonyi state, southeastern Nigeria. Using transect method, triplicate auger soil samples (0-10 and 10-20cm depth) were collected from four equal distances (0, 50, 100 and 150m) away from two mining sites in each of Ebonyi central (Nigercem and CNCC) and Ebonyi north agricultural zone (CDC and Ngbo). A total of ninety six (96) samples were used for the study and standard laboratory techniques employed in soil physicochemical determination. Data were subjected to analysis of variance (ANOVA), correlation and Principal component analysis. From the results, significantly (p<0.05) higher concentrations of silt(
This study aimed to determine the influence of entrepreneurial skills on entrepreneurial intentio... more This study aimed to determine the influence of entrepreneurial skills on entrepreneurial intention using quantitative, non-experimental descriptive design. The data were gathered from the 130 employees/laborers in Tagum City Public Market through a purposive sampling technique. The study used an adapted questionnaire to collect relevant data and provide a clear understanding to respondents. The statistical tools used were Mean, Person-r, and Regression Analysis. Results revealed that the level of entrepreneurial skills in terms of technical skills was high. At the same time, it was very high for managerial skills, leadership skills, entrepreneurial personal skills, and personal maturity, and the overall mean was also very high. The level of entrepreneurial intention in terms of nascent entrepreneurship, choice intention, and commitment to entrepreneurship was very high, and the overall mean was very high. Further, there is a significant relationship between entrepreneurial skills and the entrepreneurial intention of employees/laborers. Regarding entrepreneurial skills, only managerial skills, leadership skills, and personal maturity skills significantly influence entrepreneurial intention.
This research aims to determine the influence of profit sharing rate, service quality, and ease o... more This research aims to determine the influence of profit sharing rate, service quality, and ease of transactions on customer satisfaction at the Sharia Pawnshop, Pasar Merdeka Samarinda Branch. This research is quantitative research with primary data obtained from distributing questionnaires to customers of Sharia Pawnshop, Pasar Merdeka Samarinda Branch with a sample size of 100 respondents using the Purposive Sampling technique. This research uses Multiple Linear Regression analysis with the SPSS 25 analysis tool. The results of the research partially show that the variables of profit-sharing rate, service quality and ease of transactions have a significant effect on customer satisfaction at Sharia Pawnshop, Pasar Merdeka Samarinda Branch. The results of simultaneous testing show that the variables of profit-sharing level, service quality and ease of transactions have a significant effect on customer satisfaction at Sharia Pawnshop, Pasar Merdeka Samarinda Branch.
Repeated use of cooking oil can produce used cooking oil or waste that can hurt consumers and hav... more Repeated use of cooking oil can produce used cooking oil or waste that can hurt consumers and have a negative impact on the environment. Therefore, to overcome this, a study was conducted to convert used cooking oil into biodiesel using low-grade coal catalysts with the help of ultrasonic waves. The purpose of this study was to determine the quality of biodiesel produced from the conversion of used cooking oil using low-grade coal catalysts with the help of ultrasonic waves. Biodiesel was obtained by reacting oil: methanol (1: 3) with a transesterification process for 35 minutes with temperature variations of 40, 45, 50, 55, and 60℃ by adding 6 grams of low-grade coal catalyst with the help of ultrasonic waves that have a frequency of 40kHz. The results of this study obtained biodiesel with the highest yield of 91.38% at a temperature variation of 50℃ with characteristics of a density of 40℃ of 877.2 kg/m3, a kinematic viscosity of 40℃ of 5.35 cSt, a water content of 0.040% and an acid number of 0.45 mg KOH/g and a meth ester content of 99.36%. In general, the biodiesel produced has met SNI 7182:2015.
Students may dislike or enjoy mathematics depending on how the subject is taught and learned. Fro... more Students may dislike or enjoy mathematics depending on how the subject is taught and learned. From elementary school through post-secondary education, the question of how to effectively teach mathematics to students requires not only the teacher's mathematical knowledge but also his or her skill, approach, and, lastly, how they handle the feedback mechanism processes. In addition to outlining some of the basic issues that math teachers and students face, this paper made some helpful recommendations based on previously published research that have been validated by classroom implementation.
The developing interest in a productive and precise analysis of sheep sicknesses has prompted the... more The developing interest in a productive and precise analysis of sheep sicknesses has prompted the improvement of an expert system to help veterinarians and ranchers pursue informed choices. This paper presents the plan and execution of a custommade expert system for the knowledge-based determination and treatment of sheep infections. The system uses a standard-based approach, coordinating expert information as legitimate predicates and induction rules, to analyze regular infections influencing sheep and suggest fitting medicines. The system's knowledge base is built from information about the domain, like signs, symptoms, and environmental factors. This system aims to support proactive health management in sheep farming, reduce the need for immediate veterinary intervention, and improve disease diagnosis efficiency by simulating expert decision-making processes. The execution in Prolog exhibits the attainability and flexibility of the framework in authentic situations. The users evaluated the system with an accuracy rate of diagnosis of 89%, farmer feedback with an 87% success rate in treatment recommendation, and 91% matched with the human experts in identifying common sheep diseases. These advancements have the potential to completely transform the management of sheep's health, thereby enhancing the welfare and global agricultural productivity. Future systems may incorporate machine learning models to enhance rule-based techniques and increase diagnostic precision and flexibility. Through the examination of past data and the identification of trends, these systems have the potential to forecast disease epidemics or offer more accurate diagnoses. Mobile platforms and IoT technologies could make real-time livestock health monitoring possible, relieving farmers of manually entering data. Wearable technology could monitor physiological parameters, and environmental sensors could offer more information about the weather, temperature, and sanitization. Future systems may combine sensor-based analysis and image recognition to reduce reliance on human observation to identify visible disease signs, such as lesions or aberrant behavior.
Cursing is one of the characteristic linguistic behaviors of spoken language and is often regarde... more Cursing is one of the characteristic linguistic behaviors of spoken language and is often regarded as a "non-normative" phenomenon. In this article, we focus on exploring the structural characteristics of cursing language behavior in Nguyễn Huy Thiệp's short stories, with the aim of understanding and explaining the use of this linguistic behavior in the characters' language. Through this, we can see the diverse manifestations as well as the role of this behavior in reflecting the unique artistic style of the author.
This literature review aims to explore technology use in the classroom for science teaching, spec... more This literature review aims to explore technology use in the classroom for science teaching, specifically the technology literacy of prospective science teachers through distance education. ICTsimulations, multimediafacilitate science learning by making it easy for students to understand. But they must be used with teachers who have great technology expertise, good attitudes and support from the institution. The roadblockslow-quality resources, inadequate training, and inversionstifle adoption. The research emphasizes professional development and teacher confidence as a way of creating an environment of technological learning for the future science teacher to prepare them to use ICT effectively.
Incidence of crime is an inevitable phenomenon in all societies. To solve crimes and bring offend... more Incidence of crime is an inevitable phenomenon in all societies. To solve crimes and bring offender to justice, investigators play very significant role in providing evidence to prove the culpability of the suspect. This study aims to determine the observation of SOCO Team about their challenges encountered affecting the operational efficiency in the conduct of crime scene operations. It used the quantitative descriptive research method by employing validated and reliable self-made questionnaire. The respondents of the study were the personnel of Regional Forensic Unit 4A. Based on the results, it was found that there are minor challenges on technological, coordination, time management and logistical factors; crime scene operations are effective in the analysis of evidence, coordination with other agencies, collection of evidence and in court testimonies; there is a significant difference between the response of the respondents on evidence and coordination as challenge in crime scene operation as to their sex; and a highly significant relationship among the challenges and operational efficiency in crime scene operation. Based on the results, it was recommended to continue empowerment of the personnel and acquisition of equipment to address the challenges and maintain the organizational capabilities in crime scene operations.
Disruptive behavior challenges learning and teaching in classrooms. This research explores how di... more Disruptive behavior challenges learning and teaching in classrooms. This research explores how different seating arrangements affect grade 3 students' disruptive behaviors. Using social learning theory and Dickens and Watkins's Action Research model (Planning, Action, Observation, Reflection), the seven-week study includes a pre-intervention phase, four weeks of varied seating, and post-intervention unstructured interviews. Behavior checklists show a significant drop in distractions, while off-task behaviors change sporadically. Interviews reveal student perceptions of disruptive behavior and seating impacts. Findings highlight the need for tailored classroom strategies, recommending individualized approaches, ongoing professional development, technology policies, and continuous monitoring. This study offers valuable insights for managing classroom disruptions effectively.
This literature review explores the underlying principles of English teaching self-efficacy and E... more This literature review explores the underlying principles of English teaching self-efficacy and English language skills among emerging teachers using Bandura's (1997) socio-cognitive theory. Bandura says that self-efficacy is a sense of one's ability to do something (he was, of course, talking about teaching English). These self-efficacy beliefs have been found to affect various aspects of teacher learning, from teaching methods to classroom management to engagement in teaching. The study particularly looks at how selfefficacy in English teaching (a sense of feeling that you are competent to teach English) relates to English language competence (a teacher's mastery of English). It brings up one of its important findings: there's a strong correlation between these two variables. And the more that prospective teachers feel confident they are better at teaching English (their self-efficacy), the more they believe they can do a good job teaching English. The connection points to language learning improving at the same time as it improves teacher confidence and classroom performance. The point of this analysis is that language skill contributes enormously to teachers' self-efficacy and hence their classroom management and career outcomes. Those findings suggest that training teachers in English could lead to greater self-confidence and expertise in teaching the language, to the benefit of their students and overall educational attainment.
Artificial intelligence transforms forensic science today by offering an unprecedented breadth of... more Artificial intelligence transforms forensic science today by offering an unprecedented breadth of better precision and speed in criminal investigations. Artificial intelligence (AI) technologies that include reconstruction of crime scenes, DNA analysis, digital forensics, and many others applied to forensic science will have farreaching impacts on the field. This review discusses the use of AI in transforming a number of the disciplines in forensic sciences: namely, crime scene investigation, pattern recognition and forensic toxicology, among others; its challenges, ethical and legal considerations. This article finally emphasizes the future of AI in forensic science, as well as its integration with other emerging technologies.
The present work deals with exploring the electronic, optical, and structural properties of cubic... more The present work deals with exploring the electronic, optical, and structural properties of cubic halide-perovskites KFeX3 (X= Cl, Br) through first-principles calculations. The study used the CASTEP code with the PBE exchange-correlation functional in the GGA framework. Ultra-soft pseudo-potential (USP) plane-wave. DFT calculations were carried out for this study. The calculated elastic constants of KFeCl3 and KFeBr3 in their cubic phases supported their mechanical stability. Applying Pugh´s criteria, it is clear that neither of the materials is classified as a brittle material. Electronic band structure analysis indicates that KFeCl3 has an indirect band gap and KFeBr3 possesses a direct band gap, which is consistent with previous reports. Moreover, partial density of states (PDOS) and total density of states (TDOS) were also employed to analyze the electron localization of various bands. Peaks were fitted to the dispersion relation of a hypothetical dielectric function to determine the optical transitions within these compounds. These materials are insulating at 0 K and semiconductors above 0 K rather like the normal BCS metals. The real part of the dielectric function is rather flat with the energy, while the imaginary part of the dielectric function displays a broad spectral width with the energy, which achieves the overall transparency of the inevitable UV-active optoelectronic devices.
This research aims to analyze the contribution and effectiveness of the elements that form Local ... more This research aims to analyze the contribution and effectiveness of the elements that form Local Own-source Revenue (PAD) to the Local Own-source Revenue of East Kalimantan Province during the period of 2018 to 2023. The data analysis methods used include documentation studies, interviews, and statistical analysis. The data obtained includes details of revenue from various sources of PAD, such as local taxes, local levies, the results of the management of separated local wealth against PAD, and other legitimate PAD. The analysis was conducted to identify the relative contribution of each PAD element and measure its effectiveness in supporting local revenue growth. The results of this study are expected to support the improvement of local financial resource management to achieve sustainable economic growth in
The SMEs around the globe play a decisive role within the economies irrespective of the developme... more The SMEs around the globe play a decisive role within the economies irrespective of the development status. Nevertheless, these businesses suffer from severe obstacles due to financial constraints and Financial bootstrapping (FB) is a perfect last resort in that regard. Thus, this study examined the determinants of FB within a developing country context. Human capital, social networking, and entrepreneurial perception were identified as the independent variables and use of FB was identified as the dependent variable. A cross-sectional survey was conducted to collect data. Structural equation modeling of least squares (PLS-SEM) was the main analysis method. We contribute to the knowledge by discovering the positive and significant impact of human capital and entrepreneurs' perceptions on the use FB techniques. And, future researchers are encouraged to study potential moderating effects generated by gender, firm age, and business type.
This study examined the relationship between the factors of recidivism and the effectiveness of t... more This study examined the relationship between the factors of recidivism and the effectiveness of the Therapeutic Community Modality Program (TCMP) in chosen Laguna provincial jails. The goals were to profile the participants (n=234), identify factors promoting reoffending, assess participant evaluations of the TCMP's effectiveness, and test for significant relationships and differences among the variables. The study used a mixed-method design to gather quantitative data and qualitative insights from selected participants (n=5) through key informant interviews. The participants were purposively sampled persons deprived of liberty (PDLs) within select Laguna jails based on established criteria. Data analysis incorporated quantitative techniques, including frequency distributions, percentage calculations, weighted mean computations, ANOVA, Pearson correlations, and qualitative analysis. The findings of this study highlighted the key quantitative and qualitative findings, stressing the need for customized interventions, community reintegration assistance, and focused rehabilitation programming to decrease recidivism rates and improve correctional program efficacy. The recommendations expanded on the conclusions to provide specific, practical suggestions for stakeholders, including developing personalized prisoner plans, facilitating community support, implementing targeted psychological and behavioral interventions, teaching critical life skills, and routinely evaluating and enhancing rehabilitative efforts. Future studies could implement these recommendations using experimental designs with control groups to examine causality further. Broader regional or national sampling could improve generalizability. Longitudinal data tracking recidivism rates pre-and post-intervention would also determine the long-term efficacy of suggested enhancements to rehabilitation programs. Hence, this study provided valuable initial evidence and recommendations to guide establishing programs to effectively lower recidivism among PDLs.
This study examined the relationship between the factors of recidivism and the effectiveness of t... more This study examined the relationship between the factors of recidivism and the effectiveness of the Therapeutic Community Modality Program (TCMP) in chosen Laguna provincial jails. The goals were to profile the participants (n=234), identify factors promoting reoffending, assess participant evaluations of the TCMP's effectiveness, and test for significant relationships and differences among the variables. The study used a mixed-method design to gather quantitative data and qualitative insights from selected participants (n=5) through key informant interviews. The participants were purposively sampled persons deprived of liberty (PDLs) within select Laguna jails based on established criteria. Data analysis incorporated quantitative techniques, including frequency distributions, percentage calculations, weighted mean computations, ANOVA, Pearson correlations, and qualitative analysis. The findings of this study highlighted the key quantitative and qualitative findings, stressing the need for customized interventions, community reintegration assistance, and focused rehabilitation programming to decrease recidivism rates and improve correctional program efficacy. The recommendations expanded on the conclusions to provide specific, practical suggestions for stakeholders, including developing personalized prisoner plans, facilitating community support, implementing targeted psychological and behavioral interventions, teaching critical life skills, and routinely evaluating and enhancing rehabilitative efforts. Future studies could implement these recommendations using experimental designs with control groups to examine causality further. Broader regional or national sampling could improve generalizability. Longitudinal data tracking recidivism rates pre-and post-intervention would also determine the long-term efficacy of suggested enhancements to rehabilitation programs. Hence, this study provided valuable initial evidence and recommendations to guide establishing programs to effectively lower recidivism among PDLs.
Cocoa is one of the plantation commodities which has an important role in the national economy. C... more Cocoa is one of the plantation commodities which has an important role in the national economy. Cocoa production for 2014 in East Kalimantan reached 8106 tons/year. Cocoa production cannot be separated from the waste produced, namely cocoa shells. In the cocoa pod shell, there is a pectin content of 6-12%. This research aims to obtain pectin with the optimum yield and water content, equivalent weight and methoxyl content in accordance with the standards of the International Pectin Producers Association. The research was carried out using the hydrolysis method with the different concentration of the HCl solvent, namely 0.065N; 0.075N; 0.1N; 0.2N and 0.3N. 60g of ground dry cocoa shells were hydrolyzed with 750mL of HCl solvent for 2h at an operating temperature of 95°C. The hydrolysis results were added with 96% ethanol in a ratio of 1:1.5 (v/v) until a precipitate was formed, then filtered and washed then dried at 40°C for 8 hours. The optimum pectin yield obtained was 5.1981% at a HCl concentration of 0.1 N with an air content of 9.8452%, an equivalent weight of 1214.9930mg/mmol and a methoxyl content classified as low methoxyl pectin, namely 5.2204%.
University libraries are the center of information resources and literature information in higher... more University libraries are the center of information resources and literature information in higher education institutions. They provide literature information guarantee services for teaching and research in universities, and undertake important responsibilities such as high-quality education, scientific research, and cultural inheritance. This article first elaborates on the connotation of subject services, then points out the problems in current subject services in university libraries, and finally provides strategies for optimizing subject services in university libraries.
DNA extraction holds paramount importance in forensic science, genetic research, and clinical dia... more DNA extraction holds paramount importance in forensic science, genetic research, and clinical diagnostics. It makes the DNA used for analysis in different applications including criminal investigations. After the mid-20 th century, DNA extraction techniques evolved with early methods such as phenol-chloroform extraction which were labor-intensive and used hazardous chemicals. Over time newer techniques like silica-based, magnetic bead-based, and automated systems emerged making DNA extraction more efficient and accessible. Recent innovations include microfluidic and nanotechnology-based methods which aim to enhance yield and sensitivity, particularly for challenging samples like touch DNA. Still, limitations persist especially in handling low-template or degraded DNA samples. Current methods may lack the sensitivity or purity required for reliable analysis of trace DNA posing challenges in extracting usable DNA from minimal or compromised samples. Future innovations may yield breakthroughs that enable reliable DNA extraction even from a minute quantity of samples.
Quarrying is an immemorial activity that physically disturbs soil and impacts soil quality chemic... more Quarrying is an immemorial activity that physically disturbs soil and impacts soil quality chemically. This study assessed the physico-chemical properties of soils around quarry sites of various agricultural zones of Ebonyi state, southeastern Nigeria. Using transect method, triplicate auger soil samples (0-10 and 10-20cm depth) were collected from four equal distances (0, 50, 100 and 150m) away from two mining sites in each of Ebonyi central (Nigercem and CNCC) and Ebonyi north agricultural zone (CDC and Ngbo). A total of ninety six (96) samples were used for the study and standard laboratory techniques employed in soil physicochemical determination. Data were subjected to analysis of variance (ANOVA), correlation and Principal component analysis. From the results, significantly (p<0.05) higher concentrations of silt(
This study aimed to determine the influence of entrepreneurial skills on entrepreneurial intentio... more This study aimed to determine the influence of entrepreneurial skills on entrepreneurial intention using quantitative, non-experimental descriptive design. The data were gathered from the 130 employees/laborers in Tagum City Public Market through a purposive sampling technique. The study used an adapted questionnaire to collect relevant data and provide a clear understanding to respondents. The statistical tools used were Mean, Person-r, and Regression Analysis. Results revealed that the level of entrepreneurial skills in terms of technical skills was high. At the same time, it was very high for managerial skills, leadership skills, entrepreneurial personal skills, and personal maturity, and the overall mean was also very high. The level of entrepreneurial intention in terms of nascent entrepreneurship, choice intention, and commitment to entrepreneurship was very high, and the overall mean was very high. Further, there is a significant relationship between entrepreneurial skills and the entrepreneurial intention of employees/laborers. Regarding entrepreneurial skills, only managerial skills, leadership skills, and personal maturity skills significantly influence entrepreneurial intention.
This research aims to determine the influence of profit sharing rate, service quality, and ease o... more This research aims to determine the influence of profit sharing rate, service quality, and ease of transactions on customer satisfaction at the Sharia Pawnshop, Pasar Merdeka Samarinda Branch. This research is quantitative research with primary data obtained from distributing questionnaires to customers of Sharia Pawnshop, Pasar Merdeka Samarinda Branch with a sample size of 100 respondents using the Purposive Sampling technique. This research uses Multiple Linear Regression analysis with the SPSS 25 analysis tool. The results of the research partially show that the variables of profit-sharing rate, service quality and ease of transactions have a significant effect on customer satisfaction at Sharia Pawnshop, Pasar Merdeka Samarinda Branch. The results of simultaneous testing show that the variables of profit-sharing level, service quality and ease of transactions have a significant effect on customer satisfaction at Sharia Pawnshop, Pasar Merdeka Samarinda Branch.
Repeated use of cooking oil can produce used cooking oil or waste that can hurt consumers and hav... more Repeated use of cooking oil can produce used cooking oil or waste that can hurt consumers and have a negative impact on the environment. Therefore, to overcome this, a study was conducted to convert used cooking oil into biodiesel using low-grade coal catalysts with the help of ultrasonic waves. The purpose of this study was to determine the quality of biodiesel produced from the conversion of used cooking oil using low-grade coal catalysts with the help of ultrasonic waves. Biodiesel was obtained by reacting oil: methanol (1: 3) with a transesterification process for 35 minutes with temperature variations of 40, 45, 50, 55, and 60℃ by adding 6 grams of low-grade coal catalyst with the help of ultrasonic waves that have a frequency of 40kHz. The results of this study obtained biodiesel with the highest yield of 91.38% at a temperature variation of 50℃ with characteristics of a density of 40℃ of 877.2 kg/m3, a kinematic viscosity of 40℃ of 5.35 cSt, a water content of 0.040% and an acid number of 0.45 mg KOH/g and a meth ester content of 99.36%. In general, the biodiesel produced has met SNI 7182:2015.
Students may dislike or enjoy mathematics depending on how the subject is taught and learned. Fro... more Students may dislike or enjoy mathematics depending on how the subject is taught and learned. From elementary school through post-secondary education, the question of how to effectively teach mathematics to students requires not only the teacher's mathematical knowledge but also his or her skill, approach, and, lastly, how they handle the feedback mechanism processes. In addition to outlining some of the basic issues that math teachers and students face, this paper made some helpful recommendations based on previously published research that have been validated by classroom implementation.
The developing interest in a productive and precise analysis of sheep sicknesses has prompted the... more The developing interest in a productive and precise analysis of sheep sicknesses has prompted the improvement of an expert system to help veterinarians and ranchers pursue informed choices. This paper presents the plan and execution of a custommade expert system for the knowledge-based determination and treatment of sheep infections. The system uses a standard-based approach, coordinating expert information as legitimate predicates and induction rules, to analyze regular infections influencing sheep and suggest fitting medicines. The system's knowledge base is built from information about the domain, like signs, symptoms, and environmental factors. This system aims to support proactive health management in sheep farming, reduce the need for immediate veterinary intervention, and improve disease diagnosis efficiency by simulating expert decision-making processes. The execution in Prolog exhibits the attainability and flexibility of the framework in authentic situations. The users evaluated the system with an accuracy rate of diagnosis of 89%, farmer feedback with an 87% success rate in treatment recommendation, and 91% matched with the human experts in identifying common sheep diseases. These advancements have the potential to completely transform the management of sheep's health, thereby enhancing the welfare and global agricultural productivity. Future systems may incorporate machine learning models to enhance rule-based techniques and increase diagnostic precision and flexibility. Through the examination of past data and the identification of trends, these systems have the potential to forecast disease epidemics or offer more accurate diagnoses. Mobile platforms and IoT technologies could make real-time livestock health monitoring possible, relieving farmers of manually entering data. Wearable technology could monitor physiological parameters, and environmental sensors could offer more information about the weather, temperature, and sanitization. Future systems may combine sensor-based analysis and image recognition to reduce reliance on human observation to identify visible disease signs, such as lesions or aberrant behavior.
Cursing is one of the characteristic linguistic behaviors of spoken language and is often regarde... more Cursing is one of the characteristic linguistic behaviors of spoken language and is often regarded as a "non-normative" phenomenon. In this article, we focus on exploring the structural characteristics of cursing language behavior in Nguyễn Huy Thiệp's short stories, with the aim of understanding and explaining the use of this linguistic behavior in the characters' language. Through this, we can see the diverse manifestations as well as the role of this behavior in reflecting the unique artistic style of the author.
This literature review aims to explore technology use in the classroom for science teaching, spec... more This literature review aims to explore technology use in the classroom for science teaching, specifically the technology literacy of prospective science teachers through distance education. ICTsimulations, multimediafacilitate science learning by making it easy for students to understand. But they must be used with teachers who have great technology expertise, good attitudes and support from the institution. The roadblockslow-quality resources, inadequate training, and inversionstifle adoption. The research emphasizes professional development and teacher confidence as a way of creating an environment of technological learning for the future science teacher to prepare them to use ICT effectively.
Incidence of crime is an inevitable phenomenon in all societies. To solve crimes and bring offend... more Incidence of crime is an inevitable phenomenon in all societies. To solve crimes and bring offender to justice, investigators play very significant role in providing evidence to prove the culpability of the suspect. This study aims to determine the observation of SOCO Team about their challenges encountered affecting the operational efficiency in the conduct of crime scene operations. It used the quantitative descriptive research method by employing validated and reliable self-made questionnaire. The respondents of the study were the personnel of Regional Forensic Unit 4A. Based on the results, it was found that there are minor challenges on technological, coordination, time management and logistical factors; crime scene operations are effective in the analysis of evidence, coordination with other agencies, collection of evidence and in court testimonies; there is a significant difference between the response of the respondents on evidence and coordination as challenge in crime scene operation as to their sex; and a highly significant relationship among the challenges and operational efficiency in crime scene operation. Based on the results, it was recommended to continue empowerment of the personnel and acquisition of equipment to address the challenges and maintain the organizational capabilities in crime scene operations.
Disruptive behavior challenges learning and teaching in classrooms. This research explores how di... more Disruptive behavior challenges learning and teaching in classrooms. This research explores how different seating arrangements affect grade 3 students' disruptive behaviors. Using social learning theory and Dickens and Watkins's Action Research model (Planning, Action, Observation, Reflection), the seven-week study includes a pre-intervention phase, four weeks of varied seating, and post-intervention unstructured interviews. Behavior checklists show a significant drop in distractions, while off-task behaviors change sporadically. Interviews reveal student perceptions of disruptive behavior and seating impacts. Findings highlight the need for tailored classroom strategies, recommending individualized approaches, ongoing professional development, technology policies, and continuous monitoring. This study offers valuable insights for managing classroom disruptions effectively.
This literature review explores the underlying principles of English teaching self-efficacy and E... more This literature review explores the underlying principles of English teaching self-efficacy and English language skills among emerging teachers using Bandura's (1997) socio-cognitive theory. Bandura says that self-efficacy is a sense of one's ability to do something (he was, of course, talking about teaching English). These self-efficacy beliefs have been found to affect various aspects of teacher learning, from teaching methods to classroom management to engagement in teaching. The study particularly looks at how selfefficacy in English teaching (a sense of feeling that you are competent to teach English) relates to English language competence (a teacher's mastery of English). It brings up one of its important findings: there's a strong correlation between these two variables. And the more that prospective teachers feel confident they are better at teaching English (their self-efficacy), the more they believe they can do a good job teaching English. The connection points to language learning improving at the same time as it improves teacher confidence and classroom performance. The point of this analysis is that language skill contributes enormously to teachers' self-efficacy and hence their classroom management and career outcomes. Those findings suggest that training teachers in English could lead to greater self-confidence and expertise in teaching the language, to the benefit of their students and overall educational attainment.
Artificial intelligence transforms forensic science today by offering an unprecedented breadth of... more Artificial intelligence transforms forensic science today by offering an unprecedented breadth of better precision and speed in criminal investigations. Artificial intelligence (AI) technologies that include reconstruction of crime scenes, DNA analysis, digital forensics, and many others applied to forensic science will have farreaching impacts on the field. This review discusses the use of AI in transforming a number of the disciplines in forensic sciences: namely, crime scene investigation, pattern recognition and forensic toxicology, among others; its challenges, ethical and legal considerations. This article finally emphasizes the future of AI in forensic science, as well as its integration with other emerging technologies.
The present work deals with exploring the electronic, optical, and structural properties of cubic... more The present work deals with exploring the electronic, optical, and structural properties of cubic halide-perovskites KFeX3 (X= Cl, Br) through first-principles calculations. The study used the CASTEP code with the PBE exchange-correlation functional in the GGA framework. Ultra-soft pseudo-potential (USP) plane-wave. DFT calculations were carried out for this study. The calculated elastic constants of KFeCl3 and KFeBr3 in their cubic phases supported their mechanical stability. Applying Pugh´s criteria, it is clear that neither of the materials is classified as a brittle material. Electronic band structure analysis indicates that KFeCl3 has an indirect band gap and KFeBr3 possesses a direct band gap, which is consistent with previous reports. Moreover, partial density of states (PDOS) and total density of states (TDOS) were also employed to analyze the electron localization of various bands. Peaks were fitted to the dispersion relation of a hypothetical dielectric function to determine the optical transitions within these compounds. These materials are insulating at 0 K and semiconductors above 0 K rather like the normal BCS metals. The real part of the dielectric function is rather flat with the energy, while the imaginary part of the dielectric function displays a broad spectral width with the energy, which achieves the overall transparency of the inevitable UV-active optoelectronic devices.
This research aims to analyze the contribution and effectiveness of the elements that form Local ... more This research aims to analyze the contribution and effectiveness of the elements that form Local Own-source Revenue (PAD) to the Local Own-source Revenue of East Kalimantan Province during the period of 2018 to 2023. The data analysis methods used include documentation studies, interviews, and statistical analysis. The data obtained includes details of revenue from various sources of PAD, such as local taxes, local levies, the results of the management of separated local wealth against PAD, and other legitimate PAD. The analysis was conducted to identify the relative contribution of each PAD element and measure its effectiveness in supporting local revenue growth. The results of this study are expected to support the improvement of local financial resource management to achieve sustainable economic growth in
The SMEs around the globe play a decisive role within the economies irrespective of the developme... more The SMEs around the globe play a decisive role within the economies irrespective of the development status. Nevertheless, these businesses suffer from severe obstacles due to financial constraints and Financial bootstrapping (FB) is a perfect last resort in that regard. Thus, this study examined the determinants of FB within a developing country context. Human capital, social networking, and entrepreneurial perception were identified as the independent variables and use of FB was identified as the dependent variable. A cross-sectional survey was conducted to collect data. Structural equation modeling of least squares (PLS-SEM) was the main analysis method. We contribute to the knowledge by discovering the positive and significant impact of human capital and entrepreneurs' perceptions on the use FB techniques. And, future researchers are encouraged to study potential moderating effects generated by gender, firm age, and business type.
This study examined the relationship between the factors of recidivism and the effectiveness of t... more This study examined the relationship between the factors of recidivism and the effectiveness of the Therapeutic Community Modality Program (TCMP) in chosen Laguna provincial jails. The goals were to profile the participants (n=234), identify factors promoting reoffending, assess participant evaluations of the TCMP's effectiveness, and test for significant relationships and differences among the variables. The study used a mixed-method design to gather quantitative data and qualitative insights from selected participants (n=5) through key informant interviews. The participants were purposively sampled persons deprived of liberty (PDLs) within select Laguna jails based on established criteria. Data analysis incorporated quantitative techniques, including frequency distributions, percentage calculations, weighted mean computations, ANOVA, Pearson correlations, and qualitative analysis. The findings of this study highlighted the key quantitative and qualitative findings, stressing the need for customized interventions, community reintegration assistance, and focused rehabilitation programming to decrease recidivism rates and improve correctional program efficacy. The recommendations expanded on the conclusions to provide specific, practical suggestions for stakeholders, including developing personalized prisoner plans, facilitating community support, implementing targeted psychological and behavioral interventions, teaching critical life skills, and routinely evaluating and enhancing rehabilitative efforts. Future studies could implement these recommendations using experimental designs with control groups to examine causality further. Broader regional or national sampling could improve generalizability. Longitudinal data tracking recidivism rates pre-and post-intervention would also determine the long-term efficacy of suggested enhancements to rehabilitation programs. Hence, this study provided valuable initial evidence and recommendations to guide establishing programs to effectively lower recidivism among PDLs.
This study examined the relationship between the factors of recidivism and the effectiveness of t... more This study examined the relationship between the factors of recidivism and the effectiveness of the Therapeutic Community Modality Program (TCMP) in chosen Laguna provincial jails. The goals were to profile the participants (n=234), identify factors promoting reoffending, assess participant evaluations of the TCMP's effectiveness, and test for significant relationships and differences among the variables. The study used a mixed-method design to gather quantitative data and qualitative insights from selected participants (n=5) through key informant interviews. The participants were purposively sampled persons deprived of liberty (PDLs) within select Laguna jails based on established criteria. Data analysis incorporated quantitative techniques, including frequency distributions, percentage calculations, weighted mean computations, ANOVA, Pearson correlations, and qualitative analysis. The findings of this study highlighted the key quantitative and qualitative findings, stressing the need for customized interventions, community reintegration assistance, and focused rehabilitation programming to decrease recidivism rates and improve correctional program efficacy. The recommendations expanded on the conclusions to provide specific, practical suggestions for stakeholders, including developing personalized prisoner plans, facilitating community support, implementing targeted psychological and behavioral interventions, teaching critical life skills, and routinely evaluating and enhancing rehabilitative efforts. Future studies could implement these recommendations using experimental designs with control groups to examine causality further. Broader regional or national sampling could improve generalizability. Longitudinal data tracking recidivism rates pre-and post-intervention would also determine the long-term efficacy of suggested enhancements to rehabilitation programs. Hence, this study provided valuable initial evidence and recommendations to guide establishing programs to effectively lower recidivism among PDLs.
Uploads
Papers by IJMRAP Editor