We submit this brief in support of the Nonhuman Rights Project’s efforts to secure habeas corpus relief for the elephant named Happy. The Supreme Court, Bronx County, declined to grant habeas corpus relief and order Happy’s transfer to an elephant sanctuary, relying, in part, on previous decisions that denied habeas relief for the NhRP’s chimpanzee clients, Kiko and Tommy. Those decisions use incompatible conceptions of ‘person’ which, when properly understood, are either philosophically inadequate or, in fact, compatible with Happy’s personhood.

In December 2013, the Nonhuman Rights Project (NhRP) filed a petition for a common law writ of habeas corpus in the New York State Supreme Court on behalf of Tommy, a chimpanzee living alone in a cage in a shed in rural New York (Barlow, 2017). Under animal welfare laws, Tommy’s owners, the Laverys, were doing nothing illegal by keeping him in those conditions. Nonetheless, the NhRP argued that given the cognitive, social, and emotional capacities of chimpanzees, Tommy’s confinement constituted (...) a profound wrong that demanded remedy by the courts. Soon thereafter, the NhRP filed habeas corpus petitions on behalf of Kiko, another chimpanzee housed alone in Niagara Falls, and Hercules and Leo, two chimpanzees held in research facilities at Stony Brook University. Thus began the legal struggle to move these chimpanzees from captivity to a sanctuary, an effort that has led the NhRP to argue in multiple courts before multiple judges. The central point of contention has been whether Tommy, Kiko, Hercules, and Leo have legal rights. To date, no judge has been willing to issue a writ of habeas corpus on their behalf. Such a ruling would mean that these chimpanzees have rights that confinement might violate. Instead, the judges have argued that chimpanzees cannot be bearers of legal rights because they are not, and cannot be persons. In this book we argue that chimpanzees are persons because they are autonomous. (shrink)

In this brief, we argue that there is a diversity of ways in which humans (Homo sapiens) are ‘persons’ and there are no non-arbitrary conceptions of ‘personhood’ that can include all humans and exclude all nonhuman animals. To do so we describe and assess the four most prominent conceptions of ‘personhood’ that can be found in the rulings concerning Kiko and Tommy, with particular focus on the most recent decision, Nonhuman Rights Project, Inc v Lavery.

It is important to provide security and efficient data exchange in cloud infrastructure and achieve traceability and anonymity of data. mean For high levels of safety and performance in one Anonymously, this article addresses the topic It allows data to be exchanged and stored between members of the same group in the cloud. Proposed arrangement creates unique and traceable group data sharing policies using group signatures and special agreements Strategies to accomplish these goals. this Facilitates anonymous communication between systems Public (...) clouds have many users and. Real people following up when needed. Also, the system implements the main agreement programs to make it easier for team members to. Obtain a shared session key for secure data exchange and storage facilities. Basic generation processes a Symmetric Balanced Incomplete Block Theory (SBIBD), significantly reducing the workload of team members a shared session key must be introduced. In cloud computing contexts, the suggested system guarantees efficiency and security for group data sharing, as shown by theoretical analysis and experimental validation. (shrink)

A portion of the dietary nutrients is excreted due to the presence of antinutritional factors in some ingredients. This study aimed to determine the total and ileal digestibility coefficients of crude protein, as well as the passage rate of diets with different chemical compositions, supplemented or not with an enzymatic complex, in broiler chickens. No effect of the enzymatic complex was observed on the crude protein digestibility coefficient (P>0.05). However, the ileal digestibility coefficients of crude protein showed significant differences (P<0.05) (...) within each group (with or without enzyme supplementation). The control treatment with the enzymatic complex presented a lower ileal digestibility coefficient of crude protein (P<0.05) compared to the control treatment without supplementation. The passage rate did not differ between treatments (P>0.05). It was concluded that the inclusion of the enzymatic complex, composed of calcium carbonate, Yucca extract, protease, phytase, and cellulase, in vegetable-based diets for broiler chickens did not affect digestibility coefficients or passage rate. Keywords: poultry farming, enzyme additives, nutrition, crude protein. (shrink)

This study explored stakeholders' roles, responsibilities, challenges, and insights in implementing school-based programs at Mapula National High School, Cluster XIII, Division of Davao City. This study employed a qualitative case study approach. The research delved into the participation of parents, teachers, administrators, and community members in various initiatives aimed at educational improvement. As Creswell (2012) noted, the qualitative case study is a research methodology that concentrates on a distinct phenomenon, situation, or context, defined by specific boundaries or parameters. This investigation (...) utilized semi-structured interviews to explore stakeholders' engagement with school-based programs. The following major findings revealed that active collaboration, effective communication, resource allocation, and adaptability were instrumental in sustaining projects focused on students’ development. However, issues such as communication barriers, competing priorities, and limited resources hindered progress, necessitating adaptive strategies. Parents played a pivotal role in bridging community-school relations, while teachers facilitated program delivery amidst resource constraints. The findings underscored the need for stronger partnerships among all stakeholders, fostering a collective commitment to advancing educational opportunities and enriching the school community. It can be concluded that the value of inclusive stakeholder engagement as a means of enhancing school-based programs. By prioritizing collaboration, clear communication, and strategic resource allocation, educational institutions were able to address challenges more effectively and achieve lasting improvements. (shrink)

The production of broccoli and cauliflower generates large amounts of vegetable by-products that often accumulate in the environment; however, these residues have nutritional value for ruminants. This study evaluated the effects of including industrial broccoli and cauliflower waste in the diet of dairy ewes on feed intake, metabolic health and milk production and composition. Thirty Assaf dairy ewes in mid-lactation were divided into three groups, with 10 animals per group. The control group (CON) received a total mixed ratio (TMR) ad (...) libitum, the broccoli group (BRO) received the same TMR plus 1.5 kg FM/d of fresh chopped broccoli, and the cauliflower (CAU) group received the TMR plus 1.5 kg/d of fresh chopped cauliflower. The trial lasted 42 d, divided into 21 d for adaptation and 21 d of measurements, where feed intake and milk yield were recorded daily. Milk samples were taken once a week. At the end of the experiment, fresh cheese was prepared, using the milk from each feeding group. A sensory analysis was carried out, to detect eventual differences in flavour among treatments. Blood samples were taken to analyse the biochemical profile and acid-base status. The animals of the BRO and the CAU groups ate all the vegetal offered without decreasing the daily intake of TMR or affecting milk production. No differences were observed between groups in the biochemical profile or the blood acid-base status, with the exception of the urea concentration, which was higher in the BRO group compared to the control (55.2, 61.8, 57.2 mg/dL for CON, BRO and CAU; P= 0.022). Regarding milk composition, the most relevant differences were observed in protein content, being higher in the BRO group (P=0.006) than in the CON and CAU groups, and in the fatty acids profile, which showed an increase in the saturated fatty acids content (P=0.012) and a decrease in the monounsaturated fatty acids content (P=0.005) in the groups supplemented with broccoli and cauliflower. In conclusion, supplementation with 1.5 kg of broccoli or cauliflower in lactating sheep did not affect feed intake, milk production or health status of the animals and had little impact on the quality of milk. (shrink)

I defend the extremist position that the fundamental ontology of the world consists of a vector in Hilbert space evolving according to the Schrödinger equation. The laws of physics are determined solely by the energy eigenspectrum of the Hamiltonian. The structure of our observed world, including space and fields living within it, should arise as a higher-level emergent description. I sketch how this might come about, although much work remains to be done.

Resumo: O estudo teve por objetivo avaliar a produtividade e indicadores econômicos de cordeiros da raça Santa Inês ou mestiços Dorper x Santa Inês terminados em confinamento com dieta à base de palma forrageira. Foram utilizados 16 cordeiros não castrados, sendo oito da raça Santa Inês e oito mestiços Dorper x Santa Inês (87,5% Dorper + 12,5% Santa Inês). A idade média no início da pesquisa foi de 150 dias ± 7,28 e o peso vivo médio foi de 24,28 kg (...) ± 3,45 no início do experimento. Foi utilizada ração única formulada para ganho de peso médio esperado de 200 g/dia. A palma forrageira utilizada foi Orelha de Elefante Mexicana (Opuntia stricta HAW) IV e o feno de capim-buffel (Cenchrus ciliares). O período experimental foi de 58 dias, sendo precedido de nove dias para adaptação dos animais às instalações e à ração, totalizando 67 dias. Os dados das variáveis estudadas foram submetidos à análise de variância, em delineamento inteiramente casualizado com 8 repetições por tratamento, utilizando-se o teste F para comparação dos quadrados médios dos fatores testados. Os cordeiros consumiram quantidades semelhantes de matéria natural e de matéria seca, porém os cordeiros mestiços da raça Dorper registraram maior consumo de água, ganho de peso total e ganho de peso médio diário. Não houve efeito do grupo genético sobre a conversão alimentar e o escore de condição corporal. A margem de lucro bruto foi maior em 59,65% para os cordeiros mestiços em relação aos da raça Santa Inês. Os cordeiros mestiços apresentaram maior produtividade e melhor resultado econômico. A palma forrageira pode ser incluída em alta proporção na composição de dieta destinada à terminação de cordeiros. Palavras-chave: cactácea; cordeiro confinado; desempenho; margem de lucro bruto. Abstract: This study evaluated the productivity and economic indicators of Santa Inês and Dorper ×Santa Inês crossbred lambs finished in confinement on a forage cactus-based diet. Sixteen uncastrated lambs were used: eight purebred Santa Inês and eight Dorper × Santa Inês crossbreds (87.5% Dorper + 12.5% Santa Inês). At the onset of the experiment, lambs averaged 150 ± 7.28 days old and weighed 24.28 ± 3.45 kg. A single ration was formulated for an expected average weight gain of 200 g/day. The forage cactus used was Mexican Elephant Ear (Opuntia stricta HAW), and the hay was buffel grass (Cenchrus ciliaris). The experimental period lasted 58 days, following a 9-day adaptation period, totaling 67 days. Data were subjected to analysis of variance in a completely randomized design with eight replicates per treatment, using the F-test to compare mean squares. Lambs consumed similar amounts of fresh and dry matter, but Dorper crossbred lambs had higher water consumption, total weight gain, and average daily weight gain. The genetic group had no effect on feed conversion and body condition score. The gross profit was 59.65% higher for the crossbred lambs compared to the Santa Inês breed. Crossbred lambs showed higher productivity and better economic results. Forage cactus can be included in high proportions in diets for finishing lambs. Key-words: cactaceae; feedlot lamb; performance; gross profit margin. (shrink)

This paper is about the role of interpersonal comparisons in Harsanyi's aggregation theorem. Harsanyi interpreted his theorem to show that a broadly utilitarian theory of distribution must be true even if there are no interpersonal comparisons of well-being. How is this possible? The orthodox view is that it is not. Some argue that the interpersonal comparability of well-being is hidden in Harsanyi's premises. Others argue that it is a surprising conclusion of Harsanyi's theorem, which is not presupposed by any one (...) of the premises. I argue instead that Harsanyi was right: his theorem and its weighted-utilitarian conclusion do not require interpersonal comparisons of well-being. The key to making sense of this possibility is to treat Harsanyi's weights as dimensional constants rather than dimensionless numbers. (shrink)

This research investigates how innovative management strategies employed by Generation Z educators in secondary schools enhance teaching effectiveness and boost student learning outcomes. It particularly emphasizes the integration of digital technologies to align teaching methods with the learning preferences of Generation Z students and to promote educational equity through community involvement. Utilizing a case study framework, Creswell (2014) assesses the influence of digital tools and collaborative initiatives with parents, local leaders, and other stakeholders on educational practices. The results indicate that (...) Generation Z teachers, being digital natives, possess distinct technological skills that disrupt conventional teaching approaches. Their implementation of interactive, technology-driven methods increases student engagement and fosters equitable learning opportunities. Additionally, community participation is crucial in promoting educational equity and enhancing student achievement. The research concludes that institutions need to modify their teaching practices to include digital tools and create inclusive learning environments, ensuring that future educators are adequately equipped to meet the challenges of the digital era and effectively cater to the varying needs of learners. (shrink)

In this paper we will analyze the concept of incoherency that has been put forward by Jesper Juul in Half-Real (2005). Juul provides a paradigmatic example of an incoherency in the game Donkey Kong. The main character of the narrative, Mario, can die and subsequently reappear at the beginning of the level. However, when pressed to describe the narrative of the game, most players would not say that Mario ever died. The respawn is attributed to the game rules instead. Juul (...) calls this phenomenon an incoherency of the game’s fictional world. We claim that the precise nature of the concept of incoherency is unclear, and that Juul's connection between incoherency and contradictions is incorrect. Furthermore, we argue that Wesp incorrectly identifies the concept with 'incompleteness' in his response to Juul (Wesp, 2014). Our clarification argues that what is noteworthy in 'incoherency' is not some aspect of the fictional world, like it being contradictory or incomplete, but how the player interprets the fiction. Subsequently, we provide an explanation for what underlies an incoherency by adopting the principle of charity (Davidson 1973). Lastly we discuss how a proper understanding of incoherency can help game designers and how it relates to ludonarrative dissonance (Hocking, 2009). (shrink)

The overuse of social media, including the growing mistrust of mainstream news outlets has impacted the increasing influence of online disinformation. Social media has been a powerful tool in Philippine elections because of social media algorithms used by political parties to deploy fake news and damage their rivals. Political fake news on social media began last 2016 and became rampant in the 2022 presidential election when the candidates for the presidency were all victims of trolling. Mainstream media debunked fake news (...) but because of political partisanship, the effort has been useless due to different political beliefs and parties. The methodology involves content analysis to systematically examine social media posts related to political disinformation during the 2022 presidential election specifically focused on identifying two reactions, the emotion-driven and reason-based comments. Most of the comments were emotional and contained sarcasm, threats, slander, and mockery. People’s logical thought processes are influenced by their emotions. Users are frequently looking for information to confirm their existing views and reject or ignore information that contradicts them or is biased in favor of one political party over another. Educating the critical analysis key to both students and social media users is one of the advocacies to avoid spreading fake news in the next generations. In conclusion, emotional responses, such as anger and sarcasm, dominated the discourse, overshadowing reasoned discussions. Media mistrust and political partisanship shaped users’ reactions, leading to reject the fact-checked information especially when it conflicted with their political beliefs. (shrink)

This systematic literature review aims to address some critical questions in interdisciplinary STEM education. Specifically, this study endeavors to determine how STEM education has been implemented in the K-12 and higher education settings, which are the major target of this review, in the time range of 2016 to 2024. Within this time frame, I will utilize PRISMA’S systematic review procedures to conduct an analysis of peer-reviewed articles databases such as ERIC, Web of Science, Scopus, IEEE Xplore Digital Library, Science Direct (...) and Google Scholar. Articles from these databases would be analyzed through the use of Boolean oppositions of texts connected to education 5.0, STEM education as well as interdisciplinary approaches. There are tangible outcomes on student participation, improved retention, and development of timely necessary and relevant skills such as advanced ICT understands, intricate problem solving, and teamwork. Inadequate curriculum development policies, lack of curriculum policies, trained personnel and poor resource provision limited the development of the said framework. The review concludes that while interdisciplinary STEM education effectively prepares students for contemporary challenges and aligns with UN Sustainable Development Goals, successful implementation requires systematic institutional support and robust infrastructure. Recommendations include developing age-appropriate integrated curricula, establishing teacher collaboration networks, and conducting longitudinal research to assess long-term program impacts on student outcomes and career readiness. (shrink)

This study is intended to assess the implementation of ‘Catch-Up Fridays’ in the Public Elementary Schools in the Division of Panabo City from an administrative perspective of three school leaders. Also, three teachers, who handled CUF in the class, were interviewed. This qualitative case study explores the implementation and provides rich, detailed data on experiences, challenges, and strategies. Analyzing administrators' insights on implementing the Catch-Up Fridays (CUFs) program highlights several key points. Successful implementation relies on comprehensive communication, adherence to guidelines, (...) and thorough preparation, ensuring all stakeholders are informed and equipped. Proper resource allocation and reallocation are essential for meeting program goals and creating a supportive learning environment. Addressing workload, engaging teachers, and prioritizing tasks enhance program sustainability and effectiveness. Effective monitoring and evaluation help identify best practices and areas for improvement. The perceived effectiveness in reading and character development boosts students' self-esteem, fosters a positive learning atmosphere, and supports struggling learners. Recognizing and adopting best practices offer actionable improvement and ensure the program remains relevant. Overall, approaches such as giving appropriate feedback, aligning objectives to the school’s Key Performance Indicator, enhancing the program through effective monitoring, balancing the program with teachers' workload contribute to holistic student development, a well-supported environment, and long-term educational success, benefiting teachers, learners, and parents. (shrink)

Even with obvious deficiencies, large prompt-commanded multimodal models are proving to be flexible cognitive tools representing an unprecedented generality. But the directness, diversity, and degree of user interaction create a distinctive “human-centred generality” (HCG), rather than a fully autonomous one. HCG implies that —for a specific user— a system is only as general as it is effective for the user’s relevant tasks and their prevalent ways of prompting. A human-centred evaluation of general-purpose AI systems therefore needs to reflect the personal (...) nature of interaction, tasks and cognition. We argue that the best way to understand these systems is as highly-coupled cognitive extenders, and to analyse the bidirectional cognitive adaptations between them and humans. In this paper, we give a formulation of HCG, as well as a high-level overview of the elements and trade-offs involved in the prompting process. We end the paper by outlining some essential research questions and suggestions for improving evaluation practices, which we envision as characteristic for the evaluation of general artificial intelligence in the future. (shrink)

This work introduces the framework for selecting architecture in 5G networks, considering various technological, performance, economic, and operational factors. With the emergence of 5G technology, the architecture selection process has become pivotal in meeting diverse requirements for ultra-high-speed connectivity, low latency, scalability, and diverse service demands. The evaluation comprehensively analyses different architecture options, including centralized, distributed, cloud-based, and virtualized architectures. Factors such as network performance, scalability, cost-effectiveness, security, and compatibility are considered within a multi-criteria decision-making framework. Findings reveal each architecture (...) option's diverse strengths and limitations, emphasizing the importance of aligning architectural choices with specific use cases, deployment scenarios, and business objectives. We used the concept of multi-criteria decision-making (MCDM) methodology to control the various criteria. We used the single-valued neutrosophic set (SVNS) to deal with vague and inconsistent data. The SVNS is integrated with the hyperSoft set. The proposed methodology uses a single-valued neutrosophic hyperSoft set (SVNHSS) to select the best 5G architecture. We used the VIKOR method as an MCDM method to rank the alternatives. The proposed framework provides stakeholders with a structured methodology to evaluate and prioritize architecture options, facilitating informed decision-making in the complex landscape of 5G network deployments. (shrink)

Many say that ontological disputes are defective because they are unimportant or without substance. In this paper, we defend ontological disputes from the charge, with a special focus on disputes over the existence of composite objects. Disputes over the existence of composite objects, we argue, have a number of substantive implications across a variety of topics in metaphysics, science, philosophical theology, philosophy of mind, and ethics. Since the disputes over the existence of composite objects have these substantive implications, they are (...) themselves substantive. (shrink)

Recent literature on Christian nationalism by sociologists of religion in the United States identifies a perceived novel phenomenon: the fusion of authoritarian governmental forms with Christianity. However, the socio-historical origin of this international trend has been left relatively unexplored. Therefore, the goal of this chapter is to create a single international account that lends itself to future comparative theoretical frameworks and analyses through the term "Christofascism." -/- The chapter can also be accessed on google books at the link included in (...) the description. Finally, order the book on Routledge's website, also linked in the description. (shrink)

In this paper we will analyze the concept of incoherency that has been put forward by Jesper Juul in Half-Real (2005). Juul provides a paradigmatic example of an incoherency in the game Donkey Kong. The main character of the narrative, Mario, can die and subsequently reappear at the beginning of the level. However, when pressed to describe the narrative of the game, most players would not say that Mario ever died. The respawn is attributed to the game rules instead. Juul (...) calls this phenomenon an incoherency of the game’s fictional world. We claim that the precise nature of the concept of incoherency is unclear, and that Juul's connection between incoherency and contradictions is incorrect. Furthermore, we argue that Wesp incorrectly identifies the concept with 'incompleteness' in his response to Juul (Wesp, 2014). Our clarification argues that what is noteworthy in 'incoherency' is not some aspect of the fictional world, like it being contradictory or incomplete, but how the player interprets the fiction. Subsequently, we provide an explanation for what underlies an incoherency by adopting the principle of charity (Davidson 1973). Lastly we discuss how a proper understanding of incoherency can help game designers and how it relates to ludonarrative dissonance (Hocking, 2009). (shrink)

This systematic literature review generally aims to determine the impact of Education 5.0 on college educators. Specifically, it sought to evaluate the influence of advanced digital technologies when integrated into college teaching, identify the global challenges and benefits of Education 5.0, and highlight gaps in long-term research on its effects on educators' professional growth and adaptation. This study utilized the Systematic Literature Review (SLR) with the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA). Findings underscored the necessity for the (...) transformative impact of Education 5.0 on teaching methods, continuous professional upskilling, and a strong foundation of technologies for instruction. It can be concluded that integrating advanced digital technologies like AI, VR, and AR into college teaching enhances student engagement and supports the principles of Constructivist Learning Theory by fostering interactive, effective, and student-centered learning environments (Gupta et al., 2020; Johnson & Wang, 2021; Nguyen & Vo, 2022). (shrink)

This study compares the budgeting strategies of single-income and dual-income households in selected barangays in Balayan. Using a quantitative comparative research design and purposive sampling, the study surveyed 196 single income and 196 dual-income households, all of which own a home, have two children enrolled in public school (from elementary to senior high school), and earn a monthly salary ranging from Php 10,957 to Php 21,914. Data were collected through face-to-face surveys and analyzed using statistical methods. The findings reveal no (...) significant difference in budgeting strategies between two household types, although educational attainment and monthly income do influence financial management. The study proposes an action plan to improve budgeting practices, focusing on financial literacy, income and expense management, and the establishment of an emergency fund. The study’s implications extend beyond Balayan, Batangas, offering valuable insights for other barangays in Balayan aiming to improve their budgeting strategies. (shrink)

Social media platforms serve as convenient tools for students to learn, share, and exchange information about Philippine history, providing tangible information that is beneficial to their learning progress. However, online circulation of fake news, misinformation, and biased interpretations continuously increases, threatening students’ learning. Therefore, the purpose of this study is to understand the role of social media platforms in enhancing the historical consciousness of future Social Studies educators at Immaculate Conception College of Balayan Inc. Within the framework of the qualitative (...) method, the researchers utilized a descriptive design to explore students’ preferred social media platforms, how they enhance their Philippine historical consciousness, and how they address these challenges through the use of self-created and open-ended questions. Using a purposive sampling technique, which falls under the non-probability sampling method, the researchers selected ten (10) participants from each grade level. Additionally, thematic analysis revealed challenges faced by the students while using social media platforms, including difficulties in verifying sources, a lack of critical thinking development, and the influence of biased interpretations. The study identifies strategies to overcome the negative roles of social media, including media literacy education using fact- checking tools and collaborative efforts. In conclusion, it can facilitate the creation of social media pages ‘Journey through Time’ located in Facebook application that serve as reliable source of factual historical information while minimizing the spread of misinformation. (shrink)

One of the most significant challenges encountered by language learners is the fear of making mistakes, especially when speaking. This study evaluated the effectiveness of the Write, Rise, and Respond (WRR) technique in reducing learners’ fear of making oral mistakes. The WRR technique involves writing thoughts, sharing them when ready which requires standing, and receiving constructive feedback from teachers to foster a supportive learning environment. A quasi-experimental design using quantitative data collection, including means and t-tests, was employed. Ten (10) Grade (...) 11 students from the Humanities and Social Sciences (HUMSS) strand enrolled at Immaculate Conception College of Balayan Inc. for the Academic Year 2023-2024 were selected through purposive sampling. A Likert scale survey measured their fear levels. Over a three-week period, results revealed a statistically significant reduction in fear, with a general weighted mean of 3.45 for pre-activity and a general weighted mean of 1.75 for post-activity, respectively (p < 0.05). The WRR technique effectively reduced fear and enhanced confidence among Grade 11 HUMSS students, demonstrating its potential as a valuable tool in education. Building on these findings, future research could explore support programs like confidence-building workshops and one-on-one counseling, while also examining the long-term impact and broader applicability of the WRR technique across diverse student groups and educational settings. (shrink)

This study investigates the impact of the ENRICH strategy on improving reading comprehension scores among Grade 11 students. Utilizing a quasi-experimental design, the study was conducted in three phases. In Phase 1, spanning days 1 to 6, 36 Humanities and Social Sciences (HUMSS) students from Immaculate Conception College of Balayan, Inc. engaged with six literary pieces, reading one piece per day, followed by an assessment to measure comprehension. Phase 2, occurring on days 7 and 8, involved re-reading the same literary (...) pieces, with a second round of assessments to reinforce understanding. In the final phase, on day 9, students completed a third assessment after a final review of the texts. Data analysis revealed statistically significant improvements across the three phases, underscoring the effectiveness of repetitive reading in enhancing long-term comprehension. The findings suggest that the ENRICH strategy can effectively aid students in improving their reading comprehension, which may contribute to better academic performance, heightened reading confidence, and a more positive attitude towards learning. Based on these results, the study advocates for the ENRICH strategy as a valuable tool for bolstering reading comprehension, particularly for students struggling with complex texts. Additionally, it recommends the integration of digital tools and interactive methods to sustain engagement and further enhance reading skills. These insights offer educators and institutions actionable strategies to support literacy development and promote academic success. (shrink)

This study examined how senior high school teachers in Digos City develop their portfolios, focusing on documenting pedagogical content knowledge (PCK) and reflective practices and the relationship between these constructs and teaching experience. The study employed an embedded mixed-methods design, incorporating a quantitative survey to assess PCK, reflective practices, and qualitative focus group discussions (FGDs) to explore teachers' experiences and portfolio development strategies. The Quantitative data were analyzed using descriptive statistics and Pearson's correlation, while qualitative data from FGDs were analyzed (...) thematically using Colaizzi's phenomenological method. The study identified five key themes in portfolio development: a systematic approach, reflective practice as a guiding principle, the impact of professional development, external feedback, and teaching experience. Teachers demonstrated "extensive" PCK across content, pedagogical, and curriculum knowledge. A moderate positive correlation was found between years of teaching experience and PCK. Teachers showed "extensive" reflective practices in practical experience and metacognition but only "moderately extensive" in cognitive aspects. A strong positive correlation was also found between PCK and reflective practice. The study concludes that teacher portfolios are valuable tools for professional growth when developed systematically and supported by professional development, emphasizing the importance of strengthening teachers' PCK and reflective practices through comprehensive training and fostering a collaborative environment. (shrink)

This study investigated the experiences, coping mechanisms, and beneficial insights of principals in the Division of Davao del Norte, Philippines, who participated in strategic planning for School Improvement Plans (SIPs). The study utilized a phenomenological approach, employing purposive sampling to select a sample of seven principals from public schools in Davao del Norte. Data were gathered through in-depth interviews and analyzed using a phenomenological method. The study's findings revealed that the principals' experiences with strategic planning for SIPs were characterized by (...) collaboration and communication, emotional management, and a focus on teacher professional development. However, they also encountered difficulties, including limited resources and a lack of support. The study concluded that the findings had significant implications for school administrators, policymakers, and researchers, highlighting the need for further research and support in strategic planning for SIPs. (shrink)

This study examined the opportunities and challenges faced by Filipino learners in the newly introduced Korean language course within the Special Program in Foreign Language (SPFL) and its relationship to their proficiency. Using an explanatory sequential method, the research was conducted in three phases. In Phase 1, 32 students took the Test of Proficiency in Korean (TOPIK I) and completed a survey. The results indicated that 62.5% passed TOPIK I, suggesting that more than half had a solid grasp of the (...) Korean language. The survey revealed manageable challenges in learning Korean, with a composite mean of 1.85 and a verbal interpretation of “Disagree.” However, thematic analysis in Phase II identified specific challenges, such as difficulties with Korean tenses, particles, vocabulary, and anxiety over making mistakes, which affected students’ comprehension. In contrast, the survey indicated positive opportunities for learning Korean, with a composite mean of 3.57 and a verbal interpretation of “Strongly Agree.” Notable themes included improved college admissions, job prospects, and increased cultural awareness. Data also found no significant relationship between students’ proficiency levels—high or low—and their challenges and opportunities in learning Korean. Based on these findings, an Action Plan was proposed to enhance areas for improvement in Korean language learning for SPFL enrollees, aiming to involve school stakeholders in supporting the development of Korean language skills. (shrink)

Integrating advanced technology into school management practices is essential for managing modern educational difficulties. This study investigates the impact of big data analytics, cloud computing, and communication platforms on school management, emphasizing efficiency, decision-making, and collaboration improvements. This study utilized a sequential explanatory mixed-methods design. Using surveys, researchers gathered quantitative information from teachers and school heads and qualitative data through interviews. Researchers collected quantitative and qualitative data from school heads and teachers through surveys and interviews. Data was collected from school (...) heads and teachers using surveys for quantitative insights, while qualitative information was acquired through interviews. The data was analyzed through descriptive statistics, Pearson correlation, and thematic analysis. The findings indicated that advanced technology improved management efficiency (mean = 4.27, SD = 0.68) and facilitated decision-making processes (mean = 4.32, SD = 0.71). The study highlights the essential influence of technology in creating a flexible framework for school management practices. This highlights the importance of ongoing professional growth and the thoughtful distribution of resources for digital tools to guarantee successful technology integration. The insights provided are essential for informing policymakers and educators in their efforts to promote innovation and enhance school management practices. (shrink)

This study aimed to assess the level of acceptance and perceived impact of DepEd Order No. 21, Series of 2023, among selected public elementary teachers in Balayan, Batangas, focusing on its influence on teaching practices and pupil learning. The study employed an explanatory sequential mixed-method approach, beginning with a quantitative survey and followed by qualitative interviews. The participants consisted of 30 teachers from public elementary schools that participated in the Brigada Eskwela program. The results revealed that teachers generally accepted the (...) policy, recognizing its objectives of promoting cleaner, more organized classrooms conducive to learning. However, challenges related to the removal of visual aids, particularly for younger students, were noted. Teachers experienced minimal disruption in their teaching practices, with some reporting positive effects on classroom management and material organization. While the policy improved pupil engagement by reducing distractions, it also highlighted the need for alternative strategies to support memory retention. The study found no significant differences in acceptance based on demographic factors, suggesting a uniform perception across age, gender, and years of service. Recommendations for improving the implementation of the DepEd Order include providing additional resources, professional development, and feedback mechanisms to support teachers and address logistical challenges. The study contributes to the understanding of the practical implications of DepEd Order No. 21 and offers insights for enhancing its impact on educational practices and outcomes. (shrink)

We need modal imagination in order to extend our conception of reality - and, in particular, of human beings - beyond our immediate experience in the indexical present; and we need to do this in order to preserve the significance of human interaction. To make this leap of imagination successfully is to achieve not only insight but also an impartial perspective on our own and others' inner states. This perspective is a necessary condition of experiencing compassion for others. This is (...) the primary thesis I will try to defend in this discussion. (shrink)

This study presents a comprehensive content analysis of punctuation and capitalization errors in Facebook posts made by Junior High School students aged 13 to 17 at Immaculate Conception College of Balayan, Inc. Data was collected from various types of posts, including personal updates, shared articles, and public comments. Employing quantitative methods, particularly Pearson Chi-Square tests, the analysis assessed the frequency of these errors and examined potential correlations between error types and student demographics. The findings revealed that punctuation errors, particularly involving (...) commas and periods, were the most prevalent, followed by capitalization mistakes related to proper nouns and the beginning of sentences. Notably, no significant correlations were found between the frequency of errors and demographic factors such as age, sex, grade level, or duration of Facebook usage. Based on these results, the study recommends that educators implement targeted grammar lessons and increase writing exercises to address these common errors. Furthermore, it suggests that future research explore additional variables influencing grammar usage, the impact of social media on writing practices, and the broader implications of these findings. This research highlights the linguistic challenges faced by junior high school students in a social media context and provides practical recommendations for enhancing students’ writing skills. (shrink)

We aimed at evaluating the best unsaturated fatty acid candidate (vegetable oil) for blending (dry matter-DM basis) with cashew nutshell liquid (CNSL) to improve feed intake, digestibility, nitrogen balance, growth, and carcass traits in sheep. Forty uncastrated male Santa Ines × Dorper crossbred sheep (n = 8/treatment) weighting 24.44 ± 1.5 kg were used. Animals were randomly assigned to a completely randomized design and received one of the following treatments: a control group consisting of a blend of phenolic lipids (CNSL (...) at 0.5%) and canola oil (a monounsaturated fatty acid source, MUFA, at 1.5%), and four treatment groups with CNSL (0.5%) combined with 1.5% of a high polyunsaturated fatty acid (PUFA) vegetable oil (corn, soybean, sunflower, or cottonseed oil), as DM basis. Feeding sheep with CNSL + canola oil resulted in higher SFA, UFA, and MUFA and lower PUFA’s (P < 0.05) intakes. The TDN intake was lower for the CNSL + corn oil diet than the other oils (P < 0.0001). The DM and NDF digestibility were higher for CNSL + cottonseed oil (PUFA) or canola oil (MUFA) diets than other oils (P < 0.05). The CNSL + soybean oil blend promoted a lower urinary N excretion (P = 0.047) in sheep. Growth and carcass traits were not affected by the oil’s composition in the blends. The level of saturation was confirmed as such a determining factor in the DM and NDF digestibility since the oil containing the highest concentration of MUFA (canola oil) showed better digestibility compared to other PUFA-rich oils; however, without effect on the performance and feed efficiency of the sheep. (shrink)

Real-time detection, tracking, and following of objects or individuals is a fundamental capability in fields such as robotics, surveillance, and autonomous systems. The Follow Anything project introduces an open-set approach, enabling the system to recognize and track dynamically detected objects without predefined categories. This adaptability is crucial for real-world applications where targets may vary significantly in shape, size, and behavior, requiring a robust framework that operates effectively in unstructured environments. By prioritizing flexibility, the project aims to address the limitations of (...) traditional tracking systems that are often constrained by rigid classification schemes, allowing for a more inclusive and versatile approach to object tracking. This research integrates advanced computer vision techniques and deep learning models to ensure seamless tracking even in challenging conditions, such as occlusions, varying lighting, and continuous movement. The system employs adaptive tracking algorithms that enhance target stability, allowing it to maintain precision and accuracy in dynamic settings. These algorithms are designed to dynamically adjust to changes in the environment and the characteristics of the targets, ensuring that the tracking remains consistent even when objects exhibit unpredictable behavior. By leveraging state-of-the-art models, the framework is designed to optimize real-time performance, ensuring minimal latency in detection and tracking operations. This optimization is particularly important in applications such as autonomous vehicles, where delays in processing can lead to critical safety issues. A major challenge in tracking systems is maintaining reliability when objects undergo appearance changes or are partially obstructed. To address this, the project leverages robust detection models and predictive mechanisms that anticipate movement patterns, making it capable of handling cluttered environments and unpredictable scenarios. The integration of machine learning-driven enhancements allows the system to refine tracking methodologies continuously, ensuring high responsiveness in diverse applications such as security monitoring, robotic navigation, and human computer interaction. Moreover, the system's ability to learn from past experiences and adapt its tracking strategies enhances its robustness, making it more effective in real-world situations where variability is the norm. By creating a scalable and flexible tracking framework, this project represents a significant advancement in dynamic object following in real-world conditions. The ability to adapt to unknown targets in open-set scenarios expands the scope of automation, making it a valuable asset in multiple industries. This adaptability not only increases the system's utility across various applications but also positions it as a pioneering solution in the field of intelligent tracking. The research aims to pave the way for next-generation AI-powered tracking systems, contributing to innovations in real-time detection and autonomous interactions. As the project progresses, it promises to unlock new possibilities for automation, driving advancements in how machines perceive and interact with their surroundings, ultimately leading to smarter, more efficient systems that can operate in complex environments. (shrink)

The most significant and pervasive issue in our society is crime. Rising crime rates contribute to an unbalanced societal makeup within a nation. Over the past few years, machine learning techniques have been deployed to scrutinize crime data, offering valuable insights for forecasting and thwarting forthcoming criminal activities. In this paper, crime prediction and forecasting using MLP (Multi-Layer Perceptron) & K-Means clustering algorithms, presents a novel approach that combines machine learning and deep learning techniques to achieve precise crime predictions. MLP (...) is proposed to harness their complementary capabilities in identifying crime patterns and modeling sequential data. The procedure begins by gathering and preparing a wide range of crime data, which encompasses crime reports and demographic data. By leveraging a comprehensive dataset that encompasses factors such as demographics, socio-economic conditions, and historical crime records, and splitting it into training and testing sets. MLP model is implemented and trained to classify whether a crime occurs or not, while evaluation metrics such as accuracy, precision, recall, and F1-score are employed to assess their performance. (shrink)

Most moral theories share certain features in common with other theories. They consist of a set of propositions that are universal, general, and hence impartial. The propositions that constitute a typical moral theory are (1) universal, in that they apply to all subjects designated as within their scope. They are (2) general, in that they include no proper names or definite descriptions. They are therefore (3) impartial, in that they accord no special privilege to any particular agent's situation which cannot (...) be justified under (2) and (3). These three features do not distinguish moral theories from other theories, nor indeed from most general categorical propositions we assert. Yet, in recent years, these features of moral theories have been the target of a certain concerted and sustained criticism, namely, that to be committed to such a moral theory, or to aspire to act in accordance with its requirements, results in what has come to be known as moral alienation. Moral alienation, according to this criticism, consists in (i) viewing one's ground projects from an impersonal, "moral point of view" engendered by one's acceptance of the theory; (ii) being prepared to sacrifice these projects to the requirements of moral principle; and (iii) making such a sacrifice specifically and self-consciously in order to conform to these requirements. Moral alienation is said to manifest itself in one (or both) of two ways, depending on the nature of the project thus susceptible to sacrifice. One may be alienated from oneself, if the project consists of tastes, convictions, or aspirations that are centrally definitive of one's self. In this case one's commitment to the project can be at best conditional on its congruence with one's moral theory. It is claimed that this must make for a rather tepid and unenthusiastic commitment indeed. Alternatively, one may be alienated from others, if the project is an interpersonal relationship such as a friendship, marriage, or collegial relationship. In this case one's responses to the other are motivated by one's awareness of what one's moral theory requires. It is claimed that this obstructs a genuine and unmediated emotional response to the other as such. My aim here will be to argue that this very compelling criticism - call it the moral-alienation criticism - is nevertheless misdirected. The real culprit is not any particular moral theory, but rather a certain familiar personality type that may or may not adopt it. (shrink)

The Doctor Appointment Booking System is a web-based platform designed to simplify healthcare appointment management. Developed using the MERN stack (MongoDB, Express.js, React, Node.js), it provides role based authentication for Patients, Doctors, and Admins, ensuring secure access. Patients can register, log in, book appointments by selecting a doctor, date, and available time slot, and manage appointments by rescheduling or canceling them. Secure online payment options enhance convenience. Doctors can create and update their profiles, set availability, view scheduled appointments, and manage (...) appointment statuses (completed, pending, or canceled). They can also track earnings over time. Admins oversee the entire system, approving doctor profiles, managing patient records, monitoring payments, and generating reports for performance analysis. Automated notifications and reminders keep users informed about upcoming appointments. Security is ensured through JWT authentication, data encryption, and role-based access control. The system features a responsive front-end built with React.js and Tailwind CSS and a powerful back-end using Node.js and Express.js. By integrating modern technologies, it offers a seamless, secure, and efficient healthcare appointment booking experience. (shrink)

Interior design plays a vital role in creating aesthetically pleasing and functional spaces. Traditional methods involve multiple meetings and extensive manual effort, making the process time-consuming, costly, and less accessible. To address these limitations, this project explores an innovative approach to interactive interior design using generative AI models. The system allows users to upload an image of a room, which is then transformed using AI while maintaining structural integrity. The generated image includes furniture with clickable shopping links, enabling direct purchases. (...) The backend ensures scalability, while the frontend provides an intuitive user experience. This paper discusses the training methodology, accuracy evaluation, and the practical implementation of the system, highlighting its potential for commercialization through affiliate commissions and premium features. (shrink)

The integration of deep learning (DL) in drug discovery is revolutionizing pharmaceutical research by accelerating the identification of drug candidates, predicting drug-target interactions, and optimizing molecular properties. This paper explores how DL architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and graph neural networks (GNNs) are reshaping drug discovery pipelines. We discuss the application of DL across various stages—target identification, compound screening, and de novo drug design— supported by case studies and performance comparisons. Additionally, we highlight the (...) challenges of data quality, model interpretability, and regulatory integration in real-world pharmaceutical settings. (shrink)

Loan waivers play a crucial role in supporting financially distressed individuals, but the verification process is often plagued by inefficiencies, errors, and fraudulent claims. Traditional methods rely on manual validation of Aadhar and smart cards, which are time-consuming and vulnerable to forgery. To address these challenges, this project proposes an AI-based Aadhar and Smart Card Verification System that automates identity authentication using advanced technologies. The system captures Aadhar and smart card images through a scanner or camera and processes them using (...) Optical Character Recognition (OCR) to extract essential details such as name, Aadhar number, and other credentials. Facial recognition techniques, powered by DeepFace or FaceNet, compare the cardholder's image with a live photo to ensure authenticity. Al-driven data validation mechanisms cross- check the extracted information with government databases using checksum validation and predefined rules to detect inconsistencies or tampering. Additionally, AI-based fraud detection models analyze anomalies in images and text to identify forged or manipulated documents. The system significantly reduces manual effort, minimizes the risk of identity fraud, and enhances verification accuracy. A user- friendly interface allows applicants to upload their documents easily and receive real-time verification results. The integration of AI and deep learning ensures a secure, scalable, and efficient approach to loan waiver verification, making the process more reliable and trustworthy. By leveraging automation, this solution streamlines the approval process, prevents fraudulent claims, and improves the overall efficiency of financial institutions and government agencies handling loan waivers. (shrink)

Supplemental zinc in fattening lambs improves their health, performance, and meat quality. However, the Zn effect on grazing animals combined with different levels of concentrate should be known unknown. The objective was to evaluate the Zn-organic effect in the diet of grazing lambs supplemented with two levels of concentrate on growth, dry matter (DM) intake, carcass traits, body composition, meat quality, and fatty acid profile in Longissimus dorsi muscle. Twenty-eight lambs were used in a factorial arrangement of two levels of (...) concentrate (C) feed intake (C-0.75 and C-1.5% of live weight) and two Zn-Met levels (0 and 80 ppm Zn kg−1 DM) on the grazing of Lolium perenne L. Digestibility and dry matter intake, weight gain, and productive performance were measured. At the end of the fattening period (90 d), the lambs were slaughtered and the carcass traits, body composition, instrumental quality, and lipid profile of meat were evaluated. The effect of treatment (T), measurement period (P), and T × P interaction was observed (p < 0.05) for dry matter intake (DMI). For the final live weight (FLW) and daily weight gain (DWG), there was an effect (p < 0.05) of T and P, with Zn-80 ppm + C-1.5% treatment being greater. The live weight at slaughter (LWS) and leg length (LL) showed an effect (p < 0.05) of C × Zn. Zn-80 ppm + C-1.5% treatment was higher in the kidney fat, empty body weight, carcass fat, fat and retained energy but lower in protein content (p < 0.05). The physicochemical characteristics and fatty acid content of meat were not affected (p > 0.05). It can be concluded that the concentrated-organic zinc synergy in grazing lambs improved the performance, weight gain, and body composition, which resulted in heavier carcasses with greater amounts of fat, protein, and energy deposited. Furthermore, the physical and chemical meat traits were not affected, but the n-3 fatty acid content and n-3/n-6 ratio in Longissimus dorsi was affected by the Zn level supplemented. (shrink)

The increasing demand for portable, cost-effective, and energy-efficient computing solutions has led to the development of compact mini computers. In this paper, we’ve designed and built a compact mini computer using the BusyBirds chip. The system includes a built-in power bank for better portability, an HDMI port for connecting to high-definition displays, and Bluetooth 5.0 for reliable wireless communication. It’s developed as a simple, affordable computing option for students, developers, and professionals who need a small, efficient system for different tasks. (...) The BusyBirds Chip is used as the main processing unit, offering better performance while keeping power usage low. One of the standout features of this mini computer is that, unlike regular desktops or laptops that rely on being plugged in all the time, this one can run on battery power. That makes it a handy option for working in places where there’s no easy access to electricity. The in-built power bank helps keep the system running smoothly without interruptions, which makes it especially useful for learning activities and IoT projects. Modern systems need strong connectivity options, and this setup includes both HDMI and Bluetooth 5.0 to improve usability. The HDMI output lets you connect to highquality displays, while Bluetooth 5.0 makes it simple to pair devices like a mouse, keyboard, or speakers. After testing its performance, results showed that the mini computer works as expected offering a good mix of portability, efficiency, and low cost. (shrink)

The Automated Data Analytics System leverages Generative AI, specifically OpenAI’s GPT-4, to empower non-technical users to interact with enterprise data through natural language queries. Seamlessly integrated with a Snowflake data warehouse and built on a Streamlit-based user interface, the tool automatically translates user input into SQL queries, executes them, and delivers structured insights along with dynamic visualizations. This eliminates the need for manual SQL writing and custom development, significantly lowering the technical barriers traditionally associated with data analysis. The intuitive interface (...) enables business analysts and decision-makers to independently explore data, identify trends, and generate real-time reports without relying on developers or data teams. By automating the entire analytics workflow from natural language query generation to result visualization the platform simplifies data exploration, enhances user autonomy, and fosters a data-driven culture across the organization. As a result, businesses can make faster, smarter decisions and extract actionable insights from raw data with minimal effort and no coding required. (shrink)

O presente trabalho teve como objetivo avaliar o efeito da terminação de cordeiros confinados usando resíduo úmido de cervejaria como fonte de volumoso ofertado em diferentes frequências de alimentação sobre as características da carcaça e não componentes da carcaça. Foram utilizados 30 cordeiros machos não castrados, oriundos de um cruzamento alternado entre as raças Texel e Ile de France. Os animais apresentaram ao início do confinamento idade média de 72,7±6 dias e peso médio de 25,44±4,1 kg. Os tratamentos eram constituídos (...) de três diferentes frequências de alimentação, sendo: uma vez ao dia (08:00 horas), duas vezes ao dia (08:00 e 18:00 horas) e três vezes ao dia (08:00, 13:00 e 18:00 horas). A relação volumoso:concentrado usada foi de 46,9:53,1 com base na matéria seca. Os cordeiros foram abatidos quando atingiram o peso vivo de fazenda, de 38 kg. Houve diferença estatística (P<0,05) para as variáveis peso e rendimento de costelas, peso e proporção de Rins e peso de Rum+Ret. As demais variáveis não diferiram (P>0,05) entre os tratamentos. Em função dos resultados podemos recomendar uma única oferta diária como manejo alimentar para cordeiros terminados em confinamento recebendo resíduo úmido de cervejaria como fonte de volumoso. Palavras-chave: Cordeiro, Carcaça, Resíduo de Cervejaria, Confinamento. -/- ABSTRACT The present work aimed to evaluate the effect of finishing confined lambs using wet brewery residue as a source of roughage offered at different feeding frequencies on the characteristics of the carcass and non-carcass components. 30 uncastrated male lambs were used, coming from an alternating cross between the Texel and Ile de France breeds. At the beginning of confinement, the animals had an average age of 72.7±6 days and an average weight of 25.44±4.1 kg. The treatments consisted of three different feeding frequencies: once a day (08:00), twice a day (08:00 and 18:00) and three times a day (08:00, 13:00). 00 and 18:00 hours). The roughage:concentrate ratio used was 46.9:53.1 based on dry matter. Lambs were slaughtered when they reached farm live weight of 38 kg. There was a statistical difference (P<0.05) for the variables weight and yield of ribs, weight and proportion of Kidneys and weight of Rum+Ret. The other variables did not differ (P>0.05) between treatments. Based on the results, we can recommend a single daily supply as a dietary management for lambs finished in confinement receiving wet brewery residue as a source of roughage. Keywords: Lambs, Carcass, Brewery Residue, Confinement. RESUMEN El presente trabajo tuvo como objetivo evaluar el efecto del acabado de corderos confinados utilizando residuos húmedos de cervecería como fuente de forraje ofrecido en diferentes frecuencias de alimentación sobre las características de los componentes de la carcasa y no carcasa. Se utilizaron 30 corderos machos sin castrar, procedentes de un cruce alterno entre las razas Texel e Ile de France. Al inicio del confinamiento, los animales tenían una edad promedio de 72,7±6 días y un peso promedio de 25,44±4,1 kg. Los tratamientos consistieron en tres frecuencias de alimentación diferentes: una vez al día (08:00), dos veces al día (08:00 y 18:00) y tres veces al día (08:00, 13:00 y 18:00). horas). La relación forraje:concentrado utilizada fue 46,9:53,1 basada en materia seca. Los corderos fueron sacrificados cuando alcanzaron un peso vivo en granja de 38 kg. Hubo diferencia estadística (P<0,05) para las variables peso y rendimiento de costillas, peso y proporción de Riñones y peso de Ron+Ret. Las demás variables no difirieron (P>0.05) entre tratamientos. Con base en los resultados, podemos recomendar un suministro único diario como manejo dietético para corderos terminados en confinamiento que reciben residuos húmedos de cervecería como fuente de forraje. Palabras clave: Cordero, Carcasa, Residuos de Cervecería, Confinamiento. (shrink)

Forty lambs with 90 ± 5 days of age; 24 ± 3 kg initial BW; were confined in a feedlotfor 60 days and assigned two different diets, without or with soy lecithin. The animals were slaughtered, and the carcasses were kept in a cold chamber for 24 h, at 2ºC, and were measured for carcass yield, chemical composition of the meat, lipid oxidation and fatty acid profile. The experimental design was completely randomized, data were analyzed using SAS, and compared with (...) the means by the Student Test at 5% probabilities. The use of soy lecithin improve daily weight gain (kg/d, P < 0.05) and reduced hot and cold carcass yield (P > 0.05), but it did not alter other carcass characteristics with pH, temperature, loin area, subcutaneous fat thickness. The moisture, protein, ethereal extract and mineral of meat has not been altered by the soy lecithin (P>0.05). The results was same for lipid oxidation (P > 0.05). In the fatty acid profile, only C17:1c9 and C18:2t acids were altered (P < 0.05). The study indicates that soy lecithin can be used safely in animal feed as it does not negatively affect the quality of the meat and carcass of the animal, ensuring the production of food safety for the consumer. (shrink)

The use of omega fatty acids during pregnancy and lactation could be a beneficial strategy to improve health and production in ruminants. In this study, the effect of the dietary addition of c9, t11 and t10, c12 isomers of conjugated linoleic acid (CLA) in pure soybean oil (T1) was compared with pure soybean oil (T2) and soybean oil discarded after frying fish (Centropomus undecimalis, Pagrus pagrus, and Caranx crysos; T3) on the fatty acid profile in ewe milk and the tissues (...) of their lambs. Forty-five multiparous ewes (East Friesian × Katahdin), 32 to 35 months old, 70 days pregnant, were randomly assigned to one of the three experimental diets. The fatty acid profile, total solids, fat, protein, and lactose in milk were determined 14 days postpartum. Fifteen lambs from each treatment were sacrificed at 70 days of age, and the fatty acid profiles in perirenal fat, muscle, and brain were determined. In milk, fat and total solids content were lower with T1. On the other hand, linoleic acid content, the sum of omega-6 and DHA were higher in T1 compared to other groups (p < 0.05). In the brain, stearic acid and linoleic acid concentration increased with T1; eicosapentaenoic acid decreased and omega-3s increased with T3, while DHA was lower in T2 (p < 0.05). The addition of CLA isomers or discarded soybean oil in ewe diet from pregnancy to lactation is advantageous for the ewe since less energy in the form of milk fat is lost. In addition, increasing the concentration of omega fatty acids in ewe diet to improve omega fatty acids in lamb’s brain could be a feed strategy to increase their productivity and health. (shrink)

In an era where digital interactions shape perceptions, sentiment analysis emerges as a powerful tool to decode emotions embedded in text. It empowers businesses, researchers, and decision-makers to transform raw opinions into actionable insights, fostering stronger connections with audiences. This project harnesses the potential of Google’s Vertex AI Auto ML to revolutionize sentiment analysis, delivering an intelligent, automated, and explainable system capable of deciphering emotional tones in reviews, social media posts, and beyond. This approach enhances sentiment-based insights for businesses, researchers, (...) and organizations, improving decisionmaking processes based on user feedback. By integrating cloud-based AutoML capabilities, this project enhances classification accuracy, scalability, and deployment efficiency, making sentiment analysis accessible for businesses, researchers, and organizations. The model’s ability to extract actionable insights from user-generated content supports real-time decision-making, social media monitoring, and customer feedback analysis across various industries. (shrink)

This document is based on integrating healthcare system and create a self-sustaining ecosystem that can help healthcare providers and hospitals to provide adequate as well as accurate treatment. This is now the age of smart computer. Machines have started to impersonate as human, with the advent of artificial intelligence, machine learning, and deep learning. Chatbot is classified as conversational software agents enabled by natural language processing, and is an excellent example of such system. A Chatbot is a program which allows (...) the user to start a conversation with the machine. These Chatbots can be used in health sector. Health Chatbots are capable of running one-on-one patient communications and of reviewing specific patient queries. The integration of Artificial Intelligence (AI) in healthcare is revolutionizing patient interaction through intelligent virtual health assistants. This project explores the development of an AI-powered virtual health assistant that leverages machine learning to enhance patient engagement, provide personalized health recommendations, and assist in preliminary diagnostics. The system utilizes Natural Language Processing (NLP) for understanding patient queries and predictive analytics for offering real-time responses based on medical data. By incorporating machine learning algorithms, the assistant continuously learns from user interactions to improve accuracy and efficiency. This approach aims to reduce the workload on healthcare professionals, improve accessibility to medical information, and enhance patient experience. The study evaluates the impact of AI-driven virtual health assistance on patient satisfaction, response accuracy, and healthcare delivery efficiency. The proposed solution demonstrates the potential of AI in creating a more accessible and intelligent healthcare ecosystem. (shrink)

Autism Spectrum Disorder (ASD) affects children's ability to communicate, socialize, and engage in learning activities. This project presents the development of a user-friendly web application designed to support children with autism through interactive and educational features tailored to their needs. The application incorporates visual aids, gamified learning modules, speech and text-based communication tools, and progress tracking features. It is developed using modern web technologies to ensure accessibility across devices and ease of use for both children and caregivers. By integrating psychological (...) and pedagogical insights, the application provides personalized learning paths. These paths adjust based on user interaction and progress, helping reinforce positive behavior and learning outcomes. Tools for emotion recognition and routine scheduling are also embedded to support emotional development and daily structure. Parents, educators, and therapists can monitor the child’s activities and performance through a dedicated dashboard, enabling informed decisions and personalized interventions. The system emphasizes security, privacy, and adaptability, ensuring a safe digital environment. The development followed a user-centered approach, involving feedback from parents and specialists during design and testing phases. The outcome is a holistic support system that addresses both educational and emotional needs. The project not only aids autistic children in learning but also empowers their support systems, paving the way for inclusive digital education. Future improvements include AI integration for adaptive learning and expanded multilingual support.. (shrink)

This article focuses on a particular issue under machine ethics—that is, the nature of Artificial Moral Agents. Machine ethics is a branch of artificial intelligence that looks into the moral status of artificial agents. Artificial moral agents, on the other hand, are artificial autonomous agents that possess moral value, as well as certain rights and responsibilities. This paper demonstrates that attempts to fully develop a theory that could possibly account for the nature of Artificial Moral Agents may consider certain philosophical (...) ideas, like the standard characterizations of agency, rational agency, moral agency, and artificial agency. At the very least, the said philosophical concepts may be treated as signposts for further research on how to truly account for the nature of Artificial Moral Agents. (shrink)