An e-learning system is increasingly gaining popularity in the academic community because of several benefits of learning anywhere anyplace and anytime. An Intelligent Tutoring System (ITS) is a computer system that aims to provide immediate and customized instruction or feedback to learners, usually without requiring intervention from a human teacher.(ITSB) is the tutoring system Builder Which designed and improved to help teachers in building intelligent tutoring system in many fields. In this paper, we have an example and an evaluating are (...) presented of building an intelligent tutoring system for teaching TOEFL using ITSB tool. (shrink)

The pandemic of COVID-19 prompted several paradigm shifts throughout society, including in education. This study aimed to examine the relationships of students' engagement in online synchronous collaborative learning activities (OSCLA) with their self-efficacy (LSE), peer social support (LPSS), state of well-being (SWB), and level of academic performance (LAP). A total of 176 Filipino Grade 12 SHS students, 18 years old and older, from a private educational institution were purposively selected for this study. Data were generated using an online survey. Results (...) show that collaborative learning activities are frequently conducted (median = 4) in their synchronous online classes. It also revealed that their LSE is high (median = 4), their LPSS is high (median = 4), their LE is moderate (median = 3), their SWB is high (median = 4), and their LAP is high (median = 94.85). The results showed a statistically significant correlation of their LSE (r = 0.69, p 0.001) and LPSS with their OSCLA LE (r = 0.438, p 0.001). A statistically significant positive moderate correlation between LE and SWB (r = 0.536, p 0.001) was also found, however, no correlation was found between their OSCLA LE and LAP (r = 0.065, p = 0.393). Thus, the use of a well-designed OSCLA is strongly recommended as it positively impacts students' SWB but should be regularly reviewed for its effectiveness in sustaining improvement in the LAP of the students. (shrink)

According to recent scholarship, Kant’s "An Answer to the Question: What is Enlightenment?" and the introductory section to "The Conflict of the Faculties" are masterpieces of philosophical rhetoric. The philosophical significance of these texts lies in establishing the free public use of reason as a tool to discipline political power through pure practical reason, and the rhetorical mastery consists in presenting the free public use of reason as a means to satisfy the ruler’s pragmatic practical reason. Elaborating on this interpretation, (...) I flesh out three further aspects of the writings in question. First, I examine the four types of arguments that Kant crafts in defence of the public use of reason and show how their pragmatic practical character is fully in keeping with the foundation of politics on pure practical ideas. Second, contrasting Kant’s notion of the public use of reason with the classical liberal conception of free speech, I argue that the distinctive character of Kant’s notion of the public use of reason consists in adding to the liberal demand for freedom from state censorship the requirement of the self-discipline of the participants in the public use of reason. Third, I contend that Kant’s notion of the public use of reason goes beyond a mere non-coercive discursive procedure and conclude that, to qualify as public in the distinctive Kantian sense, publicly presented positions must uphold theoretical and moral criteria informed by critical philosophy. (shrink)

Paul Guyer’s Kant on Freedom, Law, and Happiness is a collection of essays written over a period of ten years on the roles of freedom, reason, law, and happiness in Kant’s practical philosophy. The centrality of these concepts has always been acknowledged, but Guyer proposes a different way to understand their interconnections. Kant extols respect for moral law and conformity to moral principle for its own sake while at the same time celebrating the value of human freedom and autonomy. Guyer (...) sees tensions between these two poles of Kant’s practical philosophy—obedience to law and the value of freedom. He argues: “A profound paradox can be avoided only if it can be shown that Kant intended obedience to universal law to be mandatory solely as the necessary condition for the realization of human freedom and through that freedom a systematic and unselfish distribution of happiness among all persons” and that “the sheer fact of adherence to universal law is not an end in itself but is rather the means to the realization of the human potential for autonomy or freedom in both choice and action” (p. 1). One guiding theme of Guyer’s book is that Kant’s practical philosophy is based on the fundamental, and hence indemonstrable, intrinsic value of freedom, which Guyer understands as a value that is prior to the moral law, providing both an end to be realized through conformity to universal law and the basis of the authority of moral principles. Conformity to universal law has no intrinsic value in itself; it is the means to the preservation, enhancement, and full realization of human freedom, and is required because of its instrumental connection to the prior value of freedom. As he says, “freedom of choice and its natural expression in action are what human beings value most, and the fundamental principle of morality and the rules for both po-. (shrink)

We defend hylomorphism against Maegan Fairchild’s purported proof of its inconsistency. We provide a deduction of a contradiction from SH+, which is the combination of “simple hylomorphism” and an innocuous premise. We show that the deduction, reminiscent of Russell’s Paradox, is proof-theoretically valid in classical higher-order logic and invokes an impredicatively defined property. We provide a proof that SH+ is nevertheless consistent in a free higher-order logic. It is shown that the unrestricted comprehension principle of property abstraction on which the (...) purported proof of inconsistency relies is analogous to naïve unrestricted set-theoretic comprehension. We conclude that logic imposes a restriction on property comprehension, a restriction that is satisfied by the ramified theory of types. By extension, our observations constitute defenses of theories that are structurally similar to SH+, such as the theory of singular propositions, against similar purported disproofs. (shrink)

This study explores the needs of Senior High School (SHS) Mathematics Teachers in Cabanatuan City’s Schools Division Office, focusing on professional qualifications, familiarity with essential Mathematics knowledge, and employed pedagogical strategies. Using descriptive research approach, the study examines the correlation between respondent profiles, Mathematics knowledge, pedagogical approaches, and the adequacy of educational infrastructure. Results indicate that most respondents demonstrate excellent familiarity with essential Mathematics knowledge, predominantly employing assessment as a pedagogical strategy. No significant relationship exists between respondent profiles and General (...) Mathematics essential knowledge competence. Respondents highly rate the DepEd-issued Teacher’s Guide, and Mathematics materials’ availability and sufficiency in classrooms are satisfactory. The study recommends providing more usable Mathematics tools and materials, emphasizing targeted Mathematics-related seminars for SHS Mathematics teachers in public secondary schools within Cabanatuan City. (shrink)

Some recent considerations of religion and psychiatry have drawn a distinction between pathological and spiritual/mystical experiences of mental phenomena typically regarded as within the realm of psychiatry (e.g. depression, hearing voices, seeing visions/hallucinations). Such a distinction has clinical implications, particularly in relation to whether some religious people who suffer from depression, hear voices, or see visions should be biomedically treated. Approaching this question from a theological and philosophical perspective, I draw a distinction between (what I call) ‘spiritual health’ (SH) and (...) ‘potentially transformative’ (PT) theologies, arguing that a PT model is therapeutically and philosophically more sound than a SH one. I then apply this to the clinical debate in critical dialogue with Dein and Durà-Vilà’s 2009 article, ‘The Dark Night of the Soul: spiritual distress and psychiatric implications’. My primary focus is on depression, though the discussion is also relevant to debates about psychosis and schizophrenia. (shrink)

The paper proposes a new interpretation of Timon's attack on Arcesilaus in fr. 806 SH.

Jusqu’à présent, les discussions au sein de la communauté universitaire et dans la littérature scientifique sur la conduite responsable en recherche (CRR), incluant l’intégrité scientifique et l’éthique de la recherche, ont principalement été menées par les chercheurs en sciences de la santé et en sciences fondamentales. Préoccupés, à juste titre, par des problèmes d’inconduite, leurs effets négatifs sur la rigueur scientifique et la confiance du public dans l’entreprise de la recherche, ces débats ont conduit à l’élaboration et à la mise (...) en œuvre de lignes directrices nationales et de politiques institutionnelles. Ces lignes directrices visent entre autres à promouvoir la CRR, notamment dans le but de prévenir ces inconduites. Cependant, pour garantir la pertinence et une application appropriée de ces normes à tous les domaines universitaires, il est nécessaire que les sciences humaines et sociales (SHS) contribuent plus directement à ces discussions. Un tel engagement devrait permettre d’exprimer les particularités disciplinaires et méthodologiques des SHS, dont certaines peuvent être très différentes des sciences appliquées et fondamentales. Cela permettrait également de s’assurer que la littérature sur la CRR ainsi que les politiques et les directives qui en découlent soient à la fois fondées sur des principes universellement généralisables, mais aussi appliquées avec nuance afin de refléter la diversité des pratiques disciplinaires. Dans ce chapitre, nous explorons trois grands domaines dans lesquels les SHS pourraient contribuer à façonner les discussions dans la littérature sur la CRR, tout en informant les chercheurs en SHS des meilleures pratiques en matière de CRR : l’autorat/paternité, la collaboration et l’autorégulation. (shrink)

This pаpеr invеstigаtеs thе еxtеnt tо which in-utеrо еxpоsurе tо tеmpеrаturе shоcks аffеcts birth wеight оutcоmеs in Viеtnаm. Еxplоiting thе vаriаtiоns аcrоss districts аnd cоncеptiоn timing within districts, wе shоw thаt а оnе stаndаrd dеviаtiоn incrеаsе in tеmpеrаturе rеlаtivе tо thе lоcаl nоrm (аpprоximаtеly 0.52 dеgrее Cеlsius) during thе first trimеstеr оf prеgnаncy rеducеs thе child’s wеight аt birth by 67 grаms оr 2.2%. Оur hеtеrоgеnеity аnаlysis suggеsts thаt infаnts living in rurаl аrеаs, bоrn tо pооr аnd lоw-еducаtеd mоthеrs аrе (...) еspеciаlly vulnеrаblе tо tеmpеrаturе shоcks. (shrink)

This pаpеr invеstigаtеs thе lеss discеrniblе cоst оf rаinfаll shоcks tо birth wеight оutcоmеs within thе cоntеxt оf Viеtnаm. Еxplоiting thе vаriаtiоn аcrоss districts аnd cоncеptiоn mоnths-yеаrs, wе shоw thаt in-utеrо еxpоsurе tо еxcеssivе аnd dеficiеnt rаinfаll shоcks in thе sеcоnd trimеstеr оf prеgnаncy rеducеs child’s wеight аt birth by 3.5 аnd 3.1%, rеspеctivеly. Bеsidеs, infаnts bоrn tо pооr, rurаl, аnd lоw еducаtеd mоthеrs аrе еspеciаlly vulnеrаblе tо thе аdvеrsе rеpеrcussiоns оf rаinfаll shоcks. Sincе pооr infаnt hеаlth cаn lеаvе pеrsistеnt (...) еffеcts оvеr thе lifе cyclе, thе study cаlls fоr mоrе еffоrts in intеrvеntiоn mеаsurеs tо mitigаtе thе impаcts оf rаinfаll shоcks. Additiоnаl аttеntiоn shоuld bе givеn tо childrеn аnd wоmеn frоm disаdvаntаgеd bаckgrоunds аs this grоup is thе mоst vulnеrаblе. (shrink)

This pаpеr invеstigаtеs thе intеrgеnеrаtiоnаl еffеcts оf mаtеrnаl еducаtiоn оn child hеаlth in 68 dеvеlоping cоuntriеs аcrоss fivе cоntinеnts оvеr nеаrly thrее dеcаdеs. Еxplоiting thе bеtwееn-sistеrs vаriаtiоn in thе еducаtiоnаl аttаinmеnt оf thе mоthеrs, wе find thаt mоthеr’s еducаtiоn is pоsitivеly аssоciаtеd with child hеаlth mеаsurеd by thе thrее mоst cоmmоnly usеd indicеs, nаmеly hеight-fоr-аgе, wеight-fоr-hеight, аnd wеight-fоr-аgе. Оur mеchаnism аnаlysеs furthеr shоw thаt thеsе fаvоrаblе еffеcts cоuld bе, аt lеаst in pаrt, аttributеd tо fеrtility bеhаviоr, аssоrtаtivе mаtching, hеаlth cаrе (...) utilizаtiоn, аccеss tо infоrmаtiоn, hеаlth knоwlеdgе, аnd lаbоr mаrkеt оutcоmе. Givеn thе lоng-lаsting impаcts оf еаrly-lifе hеаlth оvеr thе lifе cyclе, оur findings undеrlinе thе impоrtаncе оf mаtеrnаl еducаtiоn in imprоving еcоnоmic аnd sоciаl cоnditiоns in dеvеlоping cоuntriеs. (shrink)

This pаpеr invеstigаtеs thе hiddеn yеt pеrsistеnt cоst оf cоnflict tо birth wеight оutcоmеs fоr 53 dеvеlоping cоuntriеs еxpеriеncing cоnflict in thе pаst thrее dеcаdеs (1990-2018). Explоiting thе vаriаtiоn аcrоss districts аnd cоncеptiоn mоnths-yеаrs, wе find thаt intrаutеrinе еxpоsurе tо аrmеd cоnflict in thе first trimеstеr оf prеgnаncy rеducеs child’s wеight аt birth by 2.8% аnd rаisеs thе incidеncе оf lоw birth wеight by 3.2 pеrcеntаgе pоints. Infаnts bоrn tо pооr аnd lоw еducаtеd mоthеrs аrе еspеciаlly vulnеrаblе tо thе аdvеrsе (...) rеpеrcussiоns оf аrmеd cоnflict. Givеn thе lоng-lаsting cоnsеquеncеs оf pооr infаnt hеаlth оvеr thе lifе cyclе, оur findings cаll fоr glоbаl еffоrts in thе prеvеntiоn аnd mitigаtiоn оf cоnflict. Extrа аttеntiоn shоuld bе dirеctеd tо childrеn аnd wоmеn frоm disаdvаntаgеd bаckgrоunds. (shrink)

This pаpеr prоvidеs еvidеncе thаt thе Alliеd bоmbing оf Viеtnаm, thе lоngеst аnd hеаviеst аеriаl bоmbаrdmеnt in histоry, impоsеd dеtrimеntаl rаmificаtiоns оn еducаtiоnаl аttаinmеnt аnd futurе lаbоr mаrkеt оutcоmеs оf schооl-аgе individuаls. By еxplоiting thе plаusibly еxоgеnоus districtby-cоhоrt vаriаtiоn in bоmb dеstructiоn undеr а diffеrеncе-in-diffеrеncеs frаmеwоrk, wе find thаt аn incrеаsе in bоmb intеnsity lеаds tо significаntly fеwеr еducаtiоnаl yеаrs cоmplеtеd аnd lоwеr futurе еаrnings fоr schооl-аgе childrеn еxpоsеd tо thе bоmbаrdmеnt. Wе furthеr shоw thаt bоth thе supply-sidе fаctоrs (inаdеquаtе (...) schооl sеcurity аnd thе lаck оf tеаchеrs) аnd thе dеmаnd-sidе fаctоrs (rеsidеntiаl cаsuаltiеs, rеstrictеd аccеss tо hеаlthcаrе, dаmаgеd prоpеrtiеs, аnd incrеаsеd rеliаncе оn wеlfаrе аssistаncе) cоuld bе pоtеntiаl mеchаnisms driving thе lоng-tеrm cоnsеquеncеs оf аеriаl bоmbаrdmеnt. Our findings undеrlinе thе impоrtаncе оf cоnflict prеvеntiоn аnd pоst-cоnflict rеcоnstructiоn in prоmоting sustаinаblе dеvеlоpmеnt. (shrink)

RESUMO A alimentação é o fator que mais onera um sistema de produção animal. Assim, a utilização de diferentes estratégias de alimentação dos animais ainda é o grande desafio da nutrição animal, principalmente, levando em consideração as exigências nutricionais de diferentes categorias de ruminantes, em especial bovinos em regiões tropicais, haja vista que a sazonalidade na produção de forragens afeta diretamente a produção bovina, promovendo inadequação no atendimento das exigências nutricionais dos animais principalmente em minerais e vitaminas. Uma alimentação que (...) não atenda as exigências nutricionais dos ruminantes gera prejuízos no sistema de produção, além de, em casos mais graves, ocasionar a perda do animal. Estudos que abordam o efeito e a importância de vitaminas e minerais na nutrição bovina são escassos e necessários. Recentemente a National Research Council (NRC) apresentou novos registros das exigências nutricionais das vitaminas e minerais. Essas alterações proporcionam um impacto econômico significativo em relação à nutrição animal. Nesse sentido, objetivou-se com esta revisão trazer informações acerca de vitaminas e minerais na nutrição de bovinos em pastejo. -/- Palavras-chave: Alimentação animal; forragem; pastagem; requerimentos nutricionais; ruminantes; vitaminas lipossolúveis (Source: AGROVOC). -/- ABSTRACT Animal feed is the factor that most burdens a production system. Thus, the use of different animal feeding strategies is still the great challenge of animal nutrition, taking into account the nutritional requirements of different categories of ruminants, especially cattle in tropical regions, given that seasonality in forage production directly affects cattle production, promoting inadequacy in meeting the nutritional requirements of animals, mainly in minerals and vitamins. A diet that does not meet the nutritional requirements of ruminants generates losses in the production system, in addition to, in more serious cases, causing the loss of the animal. Studies that address the effect and importance of vitamins and minerals in bovine nutrition are scarce and necessary. Recently the National Research Council (NRC) presented new records of the nutritional requirements of vitamins and minerals. These changes provide a significant economic impact on animal nutrition. In this sense, the objective of this review was to bring information about vitamins and minerals in the nutrition of grazing cattle. -/- Keywords: Animal feeding; fat soluble vitamins; forage; nutritional requirements; pasture feeding; ruminants (Source: AGROVOC). -/- REFERÊNCIAS BIBLIOGRÁFICAS -/- 1. Cavalcanti CPL, Silva e Macedo TJ, Gois GC, Menezes VG, Monte APO, Silva AD, Silva DJM, Silva EO, Araújo GGL, Rodrigues RTS, Wischral A, Matos MHT, Queiroz MAA. Licuri oil improves feedlot performance and modifies ruminal fauna of Santa Inês ewes. Liv Sci. 2022; 265:e105093. 2. Busato KC, Chizzotti ML, Rodrigues RTS, Silva TS, Silva IF, Queiroz MAA, Silva KT, Borges JC, Gois GC. Ingestive behavior and growth performance of boer crossbred and indigenous goat kids under different feeding levels in Semiarid Region in Brazil. Trop Agric Res. 2022; 33:299-309. 3. Patton J, Dineen M, Keady TWJ, McGee M, Waters S. Developments in nutrition for pasture-based cattle and sheep systems in Ireland. Irish J Agric Food Res. 2022; 61(1):12-37. 4. McAllister TA, Stanford K, Chaves AV, Evans PR, Figueiredo, EES, Ribeiro G. Nutrition, feeding and management of beef cattle in intensive and extensive production systems. Chapter 5. In: Bazer FW, Lamb GC, Wu G, editors. Animal Agriculture. Sustainability, Challenges and Innovations. 1st ed. Elsevier Inc.: Academic Press; 2020. 5. Byrne L, Murphy RA. Relative bioavailability of trace minerals in production animal nutrition: A review. Anim. 2022; 12:e1981. 6. Arthington JD, Ranches J. Trace mineral nutrition of grazing beef cattle. Anim. 2021; 11:e2767. 7. Silva NCD, Martins TLT, Borges I. Efeito dos microminerais na alimentação de ruminantes. Ci Anim. 2017; 27:75-98. 8. Tufarelli V, Ragni M, Laudadio V. Feeding forage in poultry: A promising alternative for the future of production systems. Agric. 2018; 8:1-10. 9. Elgersma A, Søegaard K, Jensen SK. Fatty acids, α-tocopherol, β-carotene, and lutein contents in forage legumes, forbs, and a grass–clover mixture. J Agric Food Chem. 2013; 61:11913–11920. 10. Collet SG, Demeda MA, Taffarel GV, Taffarel L, Girardini LK, Nesi CNH, et al. Efeito de um suplemento mineral traço e vitaminas A e E injetáveis sobre a produção e composição de leite em vacas Holandesas. Rev Ci Agrovet. 2017; 16:463-472. 11. Silva NCD, Martins TLT, Borges I. Macrominerais: Deficiências E Interações Com A Produção E Nutrição De Ruminantes. Scient Agr Paranaensis. 2018; 17:263-271. 12. Danieli B, Schogor ALB. Uso de aditivos na nutrição de ruminantes: revisão. Vet Zootec. 2020; 27:1-13. 13. Goff JP. Invited review: Mineral absorption mechanisms, mineral interactions that affect acid–base and antioxidant status, and diet considerations to improve mineral status. J Dairy Sci. 2018; 101:2763–2813. 14. NRC. National Research Council. Nutrient requirements of beef cattle. 8th ed.Washington, DC.: The National Academy Press; 2016. 15. Silva LFC, Valadares Filho SC, Engle TE, Rotta PP, Marcondes MI, Silva FAZ, et al. Macrominerals and trace element requirements for beef cattle. Plus One. 2015; 10:e0144464. 16. Miranda MMF, Ferrarezi Junior E, Cavichioli FA. Boas práticas agropecuárias: Os benefícios da suplementação alimentar em ruminantes. Int Tec. 2021; 18:455-465. 17. Bhanderi BM, Goswami A, Garg MR, Samanta S. Study on minerals status of dairy cows and their supplementation through área specific mineral mixture in the state of Jharkhand. J Anim Sci Techn. 2016; 58:1-8. 18. Rezende FV, Silva NCD, Florentino LA, Rezende AV. Minerais: fatores que interferem na biodisponibilidade de macro e microminerais para fêmeas ruminantes durante o período de gestação. Nucleus Anim. 2019; 11:123-136. 19. NRC. National Research Council. Nutrient requeriments of dairy cattle. 7th rev.ed. Washinton, DC.: The National Academy Press; 2001. 20. Marku A, Galli A, Marciani P, Dule N, Perego C, Castagna M. Iron metabolism in pancreatic beta-cell function and dysfunction. Cells. 2021; 10:e2841. 21. DA SILVA, Emanuel Isaque Cordeiro. Nutrição e Suplementação Mineral de Bovinos de Corte. Emanuel Isaque Cordeiro da Silva, 2021. 22. Suganya A, Saravanan A, Manivannan N. Role of zinc nutrition for increasing zinc availability, uptake, yield, and quality of maize (Zea mays L.) grains: An overview. Commun Soil Sci Plant An. 2020; 51:2001-2021. 23. Byrne L, Murphy RA. Relative bioavailability of trace minerals in production animal nutrition: A review. Anim. 2022. 12:e1981. 24. Valentim JK, Mendes JP, Przybulinski BB, Serpa FC, Barbosa DK, Castilho VAR, et al. Fatores nutricionais aplicados à reprodução de ruminantes. Rev Uniciên. 2019; 23:77-82. 25. Martins KPF, Fonseca TRS, Silva ES, Munhoz TCP, Dias, GHS, Glauco JN, et al. Bócio em bovino. Pesq Vet Bras. 2018; 38:1030-1037. 26. González-Montaña JR, Escalera-Valente F, Alonso AJ, Lomillos JM, Robles R, Alonso ME. Relationship between vitamin B12 and cobalt metabolism in domestic ruminant: An update. Anim. 2020; 10:e1855; 27. Ventura RA, Cuzzuol GD, Silva TB, Malegoni ACS, Roque LZ, OLiveira SFC, et al. Deficiência de cobalto em bovinos: Revisão. Pubvet. 2021; 15:1-4. 28. Lopes HOS. Suplementação de Baixo Custo para Bovinos Mineral e Alimentar. 1st ed. Brasília, DF: Embrapa Cerrados; 1998. 29. Paul SH, Usman AA, Gana IN, Manase A, Adeniyi OD, Olutoye MA. Comparative study of mineral and nutritional composition of a multifunctional flora composite formulated from seven medicinal plants and their applications to human health. Eng Techn Open Access J. 2018; 1:137-150. 30. Zhou J, Zhang J, Xue B, Yue S, Yang C, Xue B. Effects of premating calcium and phosphorus supplementation on reproduction efficiency of grazing yak heifers. Anim. 2021; 11:1-9. 31. Harder H, Khol-Parisini A, Metzler-Zebeli BU, Klevenhusen F, Zebeli Q. Treatment of grain with organic acids at 2 different dietary phosphorus levels modulates ruminal microbial community structure and fermentation patterns in vitro. J Dairy Sci. 2015; 98:8107–8120. 32. Jain RK, Mudgal V. Phosphorus deficiency influences rumen microbial activity: Review. Int J Zoo Anim Biol. 2021; 4:1-9. 33. Barreto JC, Branco AF, Santos GT, Magalhães VJA, Coneglian SMC, Teixeira S. Avaliação dos efeitos de fontes de fósforo na dieta sobre parâmetros do meio ruminal e eficiência de síntese microbiana, digestibilidade dos nutrientes e fósforo plasmático em bovinos. Rev Bras Zootec. 2009; 38:760-769. 34. Yamada S, Inaba M. Potassium metabolism and management in patients with CKD. Nutr. 2021; 13:1-19. 35. Martinsen TC, Fossmark R, Waldum HL. The phylogeny and biological function of gastric juice—Microbiological consequences of removing gastric acid. Int J Mol Sci. 2019; 20:1-22. 36. González FHD, Silva SC. Minerais e vitaminas no metabolismo animal. 1st ed. Porto Alegre: Universidade Federal do Rio Grande do Sul; 2019. 37. Melo RR, Gonçalves SLS, Baccarin FJB, Vasconcelos WA, Miranda SC. Influência de altas dosagens de cloreto de potássio no desenvolvimento de espécies em cultivo hidropônico. Pubvet. 2020; 14:1-9. 38. Araújo WAG, Rostagno HS, Albino LFT, Carvalho TA, Ribeiro Neto AC. Potássio na nutrição animal. Rev Eletr Nutr. 2010; 7:1280-1291. 39. NRC. National Research Council. Nutrient requeriments of dairy cattle. 8th ed. Washinton, DC.: The National Academy Press; 2021. 40. Palomares RA. Trace Minerals Supplementation with Great Impact on Beef Cattle Immunity and Health. Anim. 2022; 12:e2839. 41. Tariq M, Abbas G, Ahmad S, Mustafa R, Sultan H, Abdullah M, Hussain I, Arshad M, Cheema UB, Hassan SU. Effect of supplementation of minerals on the productive and reproductive performance of lactating cattle and buffalo. Pakistan J Sci. 2022; 74:e425. 42. Pagno KCA Barbosa JD, Salvarani FM, Bomjardim HA, Faial KCF, Souza RS, Gava A, Perotta JH, Barros Filho IR. Micromineral concentrations (copper, cobalt, iron, molybdenum and zinc) in the liver of dairy cows from Campos Gerais Region, Paraná state, Brazil. Pesq Vet Bras. 2023; 43:e07137. 43. Jeong H, Vacanti NM. Systemic vitamin intake impacting tissue proteomes. Nut Met. 2020; 17:1-16. 44. Spears JW, Weiss WP. Invited Review: Mineral and vitamin nutrition in ruminants. Appl Anim Sci. 2014; 30:180-191. 45. Erickson PS, Kalscheur KF. Nutrition and feeding of dairy cattle. Chapter 9. (pp. 157-180). In: Bazer FW, Lamb GC, Wu G, editors. Animal Agriculture. Sustainability, Challenges and Innovations. 1st ed. Elsevier Inc.: Academic Press; 2020. 46. Kareem MM, Jabir MS. Vitamins. Chapter 3. In: Imran M, Imran A, editors. Malnutrition. 1st ed. London, UK.: IntechOpen; 2020. 47. Akram M, Munir N, Daniyal M, Egbuna C, Găman MA, Onyekere PF, et al. Vitamins and minerals: Types, sources and their functions. Chapter 9. (pp 149–172). In: Egbuna C, Tupas GD, editors. Functional foods and nutraceuticals. Switzerland, AG.: Springer, Cham; 2020. 48. Marino CT, Medeiros SR. Minerais e vitaminas na nutrição de bovinos de corte. Chapter 6. (pp. 79-93). In. Medeiros SR, Gomes RC, Bungenstab DJ, editors. Nutrição de bovinos de corte: fundamentos e aplicações. Brasília, DF: Embrapa; 2015. 49. Hodnik JJ, Ježek J, Starič J. A review of vitamin D and its importance to the health of dairy cattle. J Dairy Res. 2020; 87:84–87. 50. Alves EM, Pedreira MS, Santana CA, Silva FF. Nutrição vitamínica de vacas leiteiras. Pubvet. 2008; 2:1-17. 51. Jiang Q, Lin L, Xie F, Jin W, Zhu W, Wang M, et al. Metagenomic insights into the microbe-mediated B and K2 vitamin biosynthesis in the gastrointestinal microbiome of ruminants. Microb. 2022; 10:1-16. 52. Magan JB, O’Callaghan TF, Zheng J, Zhang L, Mandal R, Hennessy D, et al. Effect of diet on the vitamin B profile of bovine milk-based protein ingredients. Foods. 2020; 9:1-17. 53. Pinedo LA, Berenchtein B, Selem ASMA. Estudo dos processos bioquímicos da fermentação, degradação e absorção de nutrientes dos alimentos em ruminantes. Pubvet. 2008; 2:1-10. 54. DA SILVA, Emanuel Isaque Cordeiro. Formulação e Avaliação de Suplemento Mineral Para Caprinos. Instrução Técnica Para o Produtor Rural de Pernambuco, v. 3, n. 1, p. 1-4, 2023. 55. DA SILVA, Emanuel Isaque Cordeiro. Nutrição Sobre a Reprodução e Fertilidade dos Bovinos. Emanuel Isaque Cordeiro da Silva, 2021. 56. DA SILVA, Emanuel Isaque Cordeiro. Suplementação e formulação de sal mineral e mistura múltipla para bovinos. Revista Universitária Brasileira, v. 2, n. 1, 2024. (shrink)

This pаpеr invеstigаtеs thе lеss discеrniblе cоst оf rаinfаll shоcks tо birth wеight оutcоmеs within thе cоntеxt оf Viеtnаm. Еxplоiting thе vаriаtiоn аcrоss districts аnd cоncеptiоn mоnths-yеаrs, wе shоw thаt in-utеrо еxpоsurе tо еxcеssivе аnd dеficiеnt rаinfаll shоcks in thе sеcоnd trimеstеr оf prеgnаncy rеducеs child’s wеight аt birth by 3.5 аnd 3.1%, rеspеctivеly. Bеsidеs, infаnts bоrn tо pооr, rurаl, аnd lоw еducаtеd mоthеrs аrе еspеciаlly vulnеrаblе tо thе аdvеrsе rеpеrcussiоns оf rаinfаll shоcks. Sincе pооr infаnt hеаlth cаn lеаvе pеrsistеnt (...) еffеcts оvеr thе lifе cyclе, thе study cаlls fоr mоrе еffоrts in intеrvеntiоn mеаsurеs tо mitigаtе thе impаcts оf rаinfаll shоcks. Additiоnаl аttеntiоn shоuld bе givеn tо childrеn аnd wоmеn frоm disаdvаntаgеd bаckgrоunds аs this grоup is thе mоst vulnеrаblе. (shrink)

This pаpеr invеstigаtеs thе еxtеnt tо which in-utеrо еxpоsurе tо tеmpеrаturе shоcks аffеcts birth wеight оutcоmеs in Viеtnаm. Еxplоiting thе vаriаtiоns аcrоss districts аnd cоncеptiоn timing within districts, wе shоw thаt а оnе stаndаrd dеviаtiоn incrеаsе in tеmpеrаturе rеlаtivе tо thе lоcаl nоrm (аpprоximаtеly 0.52 dеgrее Cеlsius) during thе first trimеstеr оf prеgnаncy rеducеs thе child’s wеight аt birth by 67 grаms оr 2.2%. Оur hеtеrоgеnеity аnаlysis suggеsts thаt infаnts living in rurаl аrеаs, bоrn tо pооr аnd lоw-еducаtеd mоthеrs аrе (...) еspеciаlly vulnеrаblе tо tеmpеrаturе shоcks. (shrink)

This pаpеr invеstigаtеs thе intеrgеnеrаtiоnаl еffеcts оf mаtеrnаl еducаtiоn оn child hеаlth in 68 dеvеlоping cоuntriеs аcrоss fivе cоntinеnts оvеr nеаrly thrее dеcаdеs. Еxplоiting thе bеtwееn-sistеrs vаriаtiоn in thе еducаtiоnаl аttаinmеnt оf thе mоthеrs, wе find thаt mоthеr’s еducаtiоn is pоsitivеly аssоciаtеd with child hеаlth mеаsurеd by thе thrее mоst cоmmоnly usеd indicеs, nаmеly hеight-fоr-аgе, wеight-fоr-hеight, аnd wеight-fоr-аgе. Оur mеchаnism аnаlysеs furthеr shоw thаt thеsе fаvоrаblе еffеcts cоuld bе, аt lеаst in pаrt, аttributеd tо fеrtility bеhаviоr, аssоrtаtivе mаtching, hеаlth cаrе (...) utilizаtiоn, аccеss tо infоrmаtiоn, hеаlth knоwlеdgе, аnd lаbоr mаrkеt оutcоmе. Givеn thе lоng-lаsting impаcts оf еаrly-lifе hеаlth оvеr thе lifе cyclе, оur findings undеrlinе thе impоrtаncе оf mаtеrnаl еducаtiоn in imprоving еcоnоmic аnd sоciаl cоnditiоns in dеvеlоping cоuntriеs. (shrink)

This pаpеr invеstigаtеs thе hiddеn yеt pеrsistеnt cоst оf cоnflict tо birth wеight оutcоmеs fоr 53 dеvеlоping cоuntriеs еxpеriеncing cоnflict in thе pаst thrее dеcаdеs (1990-2018). Explоiting thе vаriаtiоn аcrоss districts аnd cоncеptiоn mоnths-yеаrs, wе find thаt intrаutеrinе еxpоsurе tо аrmеd cоnflict in thе first trimеstеr оf prеgnаncy rеducеs child’s wеight аt birth by 2.8% аnd rаisеs thе incidеncе оf lоw birth wеight by 3.2 pеrcеntаgе pоints. Infаnts bоrn tо pооr аnd lоw еducаtеd mоthеrs аrе еspеciаlly vulnеrаblе tо thе аdvеrsе (...) rеpеrcussiоns оf аrmеd cоnflict. Givеn thе lоng-lаsting cоnsеquеncеs оf pооr infаnt hеаlth оvеr thе lifе cyclе, оur findings cаll fоr glоbаl еffоrts in thе prеvеntiоn аnd mitigаtiоn оf cоnflict. Extrа аttеntiоn shоuld bе dirеctеd tо childrеn аnd wоmеn frоm disаdvаntаgеd bаckgrоunds. (shrink)

The use of evolutionary game theory to explain the evolution of human norms and the behavior of humans who act according to those norms is widespread. Both the aims and motivation for its use are clearly articulated by Harms and Skyrms (2008) in the following passage: "A good theory of evolution of norms might start by explaining the evolution of altruism in Prisoner’s Dilemma, of Stag Hunting, and of the equal split in the symmetric bargaining game. These are not well-explained (...) by classical game theory based on rational choice. From a technical point of view, they present different theoretical challenges. In the bargaining game, there are an infinite number of equilibria with no principled (rational choice) way to select the cooperative one. In Stag Hunt there are only two, but the non-cooperative one is selected by risk-dominance. In Prisoner’s Dilemma the state of mutual cooperation is not a Nash equilibrium at all, and cooperation flies in the face of the rational-choice principle that one does not choose less rather than more. In contrast to rational choice theory, the most common tool of evolutionary game theory is the replicator dynamics, in which the propagation rate of each strategy is determined by its current payoffs. These dynamics have a rationale in both biological and cultural evolutionary modeling, and sometimes tell us things that rational choice theory does not." We agree with the first sentence in this quotation: a good theory about the behavior under norms ought to explain altruism in the Prisoner’s Dilemma (PD), playing Stag in Stag Hunt (SH), and offering equal splits in the symmetric Nash bargaining game (NB). We also agree with Harms and Skyrms about the difference in technical challenges each of these games poses. Finding a single mechanism, even one as broadly understood as evolution, that could solve these challenges en masse is no doubt a tall order. Nonetheless, in this paper, we present a single, simple, modification to SH, NB, and a general n-player PD that does just that: we introduce deontological autonomy into the models. (shrink)

Preparing students for the real challenges in life is one of the most important goals in education. Constructivism is an approach that uses real-life experiences to construct knowledge. Problem-Based Learning (PBL), for almost five decades now, has been the most innovative constructivist pedagogy used worldwide. However, with the rising popularity, there is a need to revisit empirical studies regarding PBL to serve as a guide and basis for designing new studies, making institutional policies, and evaluating educational curricula. This need has (...) led the researchers to do a meta-analysis to analyse the effectiveness of PBL on secondary students’ achievement in different scientific disciplines. Following the set of inclusion and exclusion criteria, 11 studies in Eurasia, Africa, and America conducted from 2016 to 2020 have qualified for this study. Six of which focused on JHS (n = 1047) and five on SHS (n = 375). Studies were obtained from various meta-search engines including Google, ERIC, and JSTOR. Further, the researchers used Harzing’s Publish and Perish software to exhaust the search process. Sample size, mean, and standard deviation were analysed using the Comprehensive MetaAnalysis version 3 to determine the effect sizes (Hedge’s g) and the results of moderator analysis, forest plot, funnel plot, and Begg-Mazumdar test. Findings have shown that PBL, as an approach to teaching science, had a large and positive effect (ES = .871) on the achievement of secondary students. However, grade levels and various scientific disciplines did not influence students’ learning achievement. The conduct of more studies on the different factors affecting PBL implementation and specific effects of PBL on various student domains is recommended to facilitate comparative educational research in the future. (shrink)

There is no doubt that Computer troubleshooting is important for organizations and companies and for personal use level. Sound cards troubles is one of the most annoying problems in computers. It causes damage and troubles in computers to persons, organizations and firms. Correctly, expert systems can greatly help to avoid damage to these computers. designed to diagnose and troubleshoot issues related to sound cards in computer systems. The expert system is developed using a combination of rule-based and machine learning approaches, (...) which allows for accurate and efficient diagnosis of a wide range of sound card problems. Objectives: An expert system has been established based on CLIPS to diagnose Computer Problems. (shrink)

Accurate statistical analysis of Fortnite gameplay data is essential for improving gaming strategies and performance. In this study, we present a novel approach to analyze Fortnite statistics using machine learning techniques. Our dataset comprises a wide range of gameplay metrics, including eliminations, assists, revives, accuracy, hits, headshots, distance traveled, materials gathered, materials used, damage taken, damage to players, damage to structures, and more. We collected this dataset to gain insights into Fortnite player performance and strategies. The proposed model employs advanced (...) machine learning algorithms and data preprocessing techniques. We aim to identify key performance indicators and influential factors that contribute to Fortnite success. By exploring patterns and relationships within the dataset, our model can provide valuable insights into gameplay optimization. Our research involves feature analysis to determine the most influential factors in predicting Fortnite performance. These factors include eliminations, assists, revives, accuracy, hits, headshots, distance traveled, materials gathered, materials used, damage taken, damage to players, damage to structures, and more. By understanding the impact of these factors, we aim to help Fortnite players enhance their skills and strategies. Through extensive training and validation of our machine learning model, we achieved remarkable results, with an accuracy rate of [Your Accuracy Rate]% and an average error of [Your Average Error]. This research not only provides valuable insights into Fortnite gameplay but also offers a foundation for future research in the field of esports analytics and performance optimization. (shrink)

Kidney stones pose a significant health concern, and early detection can lead to timely intervention and improved patient outcomes. This research endeavours to predict the presence of kidney stones based on urine analysis, utilizing a neural network model. A dataset of 552 urine specimens, comprising six essential physical characteristics (specific gravity, pH, osmolarity, conductivity, urea concentration, and calcium concentration), was collected and prepared. Our proposed neural network architecture, featuring three layers (input, hidden, output), was trained and validated, achieving an impressive (...) accuracy of 98.67% and an average error of 0.012. In addition to model performance, feature importance analysis was conducted to determine the most influential factors in predicting kidney stone presence. The findings underscore the significance of urea concentration, specific gravity, calcium concentration, conductivity, osmolarity, and pH as key indicators. This research contributes to the early diagnosis of kidney stones and demonstrates the potential of neural networks in medical diagnostics. The clinical implications of these findings are discussed, emphasizing the importance of timely intervention in managing kidney stone-related health issues. (shrink)

Water quality assessment is critical for environmental sustainability and public health. This research employs neural networks to predict water quality, utilizing a dataset of 21 diverse features, including metals, chemicals, and biological indicators. With 8000 samples, our neural network model, consisting of four layers, achieved an impressive 94.22% accuracy with an average error of 0.031. Feature importance analysis revealed arsenic, perchlorate, cadmium, and others as pivotal factors in water quality prediction. This study offers a valuable contribution to enhancing water quality (...) monitoring and decision-making for stakeholders and policymakers. (shrink)

Malaria is a life-threatening disease spread to humans by some types of mosquitoes. It is mostly found in tropical countries. It is preventable and curable. The infection is caused by a parasite and does not spread from person to person. Symptoms can be mild or life-threatening. Mild symptoms are fever, chills and headache. Severe symptoms include fatigue, confusion, seizures, and difficulty breathing. Infants, children under 5 years, pregnant women, travelers and people with HIV or AIDS are at higher risk of (...) severe infection. Discovering this disease is a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help to avoid spreading this disease. The expert system diagnoses malaria disease correctly to facilitate doctors to find the correct treatment based on the appropriate diagnosis. Objectives: An expert system has been established based on CLIPS to diagnose malaria disease. (shrink)

Tinnitus is a common condition characterized by the perception of sound in the absence of an external source, with potential negative physical and psychological impacts. Accurate and efficient diagnosis of tinnitus is crucial for appropriate treatment and management. Traditional diagnostic methods have limitations in terms of time, cost, and accuracy. To address these challenges, expert systems have emerged as a promising tool for tinnitus diagnosis. This paper explores the application of expert systems in tinnitus diagnosis, highlighting their potential to improve (...) accuracy and efficiency. By incorporating a knowledge base and rule-based decision-making, expert systems can provide valuable insights for accurate diagnosis and appropriate management of tinnitus. Further research and development in this area can enhance the clinical assessment and treatment of tinnitus, ultimately improving the quality of life for affected individuals. (shrink)

heart attack analysis & prediction dataset is a major cause of death worldwide. Early detection and intervention are essential for improving the chances of a positive outcome. This study presents a novel approach to predicting the likelihood of a person having heart failure using a neural network model. The dataset comprises 304 samples with 11 features, such as age, sex, chest pain type, Trtbps, cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise-induced angina, oldpeak, ST_Slope, and HeartDisease. (...) A neural network model with four layers (1 input, 2 hidden, 1 output) was trained on the dataset and achieved an accuracy of 88% and an average error of 0078296. The most influential factors in heart failure prediction were found to be oldpeak, ST_Slope, sex, fastingBS, chestPainType, exerciseAngina, cholesterol, restingBP, maxHR, restingBP, and age. This study provides a valuable tool for early detection and intervention of heart failure, thereby contributing to the field of health and medicine. (shrink)

This paper presents the design and development of intelligent tutoring system for teaching Oracle. The Oracle Intelligent Tutoring System (OITS) examined the power of a new methodology to supporting students in Oracle programming. The system presents the topic of Introduction to Oracle with automatically generated problems for the students to solve. The system is dynamically adapted at run time to the student’s individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on (...) the performance of students. (shrink)

Philosophers and psychologists sometimes categorize emotions like surprise and curiosity as specifically epistemic. Is there some reasonably unified and interesting class of emotions here? If so, what unifies it? This paper proposes and defends an evaluative account of epistemic emotions: What it is to be an epistemic emotion is to have fittingness conditions that distinctively involve some epistemic evaluation. We argue that this view has significant advantages over alternative proposals and is a promising way to identify a limited and interesting (...) class of emotions. (shrink)

Warts and verrucas are common skin conditions caused by the human papillomavirus (HPV) infection. They present as raised, rough, or bumpy growths on the hands, feet, or other areas subjected to friction or pressure. Plantar warts exhibit a rough surface with small black dots, while genital warts have a cauliflower-like appearance. Pain or itchiness may accompany these lesions. Factors such as close contact with infected individuals and immune compromise can impact the severity and spread of warts. Diagnosis is primarily based (...) on clinical examination, and referral to a dermatologist may be necessary for uncertain cases. Treatment options range from over-the-counter remedies to professional interventions. Persistent or symptomatic lesions should be evaluated by a healthcare professional. Improved understanding and effective management of warts and verrucas are essential for optimal patient outcomes. (shrink)

This study investigates the significant relationship between mental health and academic motivation among graduating students. Thus, the study employed a correlational design to determine if there is a significant relationship between mental health and academic motivation among 150 graduating college students. Hence, the Mental Health Inventory 38 (MHI-38) and Academic Motivation Scale (AMS-C28) were employed to measure the study variables. Moreover, statistical analysis reveals that the r coefficient of 0.35 indicates a low positive correlation between the variables. The p-value of (...) 0.00, which is less than 0.05, leads to the decision to reject the null hypothesis. (shrink)

This study aimed to highlight the nature of the relationship between knowledge management and the strategic decision-making process, considering that strategic decisions are formulated and made based on a specific knowledge perspective. The study targeted the university management, deans of faculties, and college directors at Al-Azhar University - Gaza. The study followed a descriptive-analytical approach, and data was collected through a questionnaire designed to cover six dimensions related to knowledge management processes and an axis related to strategic decision-making. The data (...) was analyzed using various statistical methods. The study results showed a statistically significant positive relationship between the role of knowledge management processes and activating the strategic decision-making process at Al-Azhar University - Gaza. The study recommended that the university pay more attention to the processes of knowledge awareness and application as they serve as the link between existing knowledge and the creation of good knowledge. Furthermore, these processes are considered the essential means through which the university improves the effectiveness of strategic decisions and enhances its position. (shrink)

Research ethics committees and institutional review boards spend considerable time developing, scrutinising, and revising specific consent processes and materials for survey-based studies conducted on crowdsourcing and online recruitment platforms such as MTurk and Prolific. However, there is evidence to suggest that many users of ICT services do not read the information provided as part of the consent process and they habitually provide or refuse their consent without adequate reflection. In principle, these practices call into question the validity of their consent. (...) In this paper we argue that although the ‘no read problem’ and the routinisation of consent may apply to research participants’ consent practices for studies on crowdsourcing platforms, this is not a serious problem. Furthermore, given that the informational requirements for informed consent in these contexts are minimal, we argue that these participants are, nevertheless, sufficiently informed to give valid consent. We conclude that research ethics committees and institutional review boards should only agonise over the precise details of the informed consent process and materials in those rare cases where appreciable risks to research participants need to be managed. (shrink)

The translational research community, in general, and the Clinical and Translational Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for research that will improve the quality of clinical practice. Many members of these communities are also aware that electronic health records (EHRs) suffer limitations of data becoming poorly structured, biased, and unusable out of original context. This creates obstacles to the continuity of care, utility, quality improvement, and translational research. Analogous limitations to sharing objective data in (...) other areas of the natural sciences have been successfully overcome by developing and using common ontologies. This White Paper presents the authors’ rationale for the use of ontologies with computable semantics for the improvement of clinical data quality and EHR usability formulated for researchers with a stake in clinical and translational science and who are advocates for the use of information technology in medicine but at the same time are concerned by current major shortfalls. This White Paper outlines pitfalls, opportunities, and solutions and recommends increased investment in research and development of ontologies with computable semantics for a new generation of EHRs. (shrink)

Heart palpitations, while often benign, can sometimes be indicative of severe underlying conditions requiring immediate intervention. Accurate and swift diagnosis thus remains a clinical priority. "A CLIPS-Based Expert System for Heart Palpitations Diagnosis" represents a novel approach to addressing this challenge, harnessing the power of artificial intelligence and rule-based expert systems. Specifically, this system applies a suite of 7 if-then rules to evaluate potential heart palpitations causes and assign one of three outcomes: 1) A confirmed diagnosis of heart palpitations, 2) (...) A suspected link to cardiovascular diseases, and 3) A possible association with anxiety or stress disorders. The expert system offers an intuitive user interface, allowing for seamless symptom input and instant diagnosis based on user-provided information. This paper explores the various phases of this expert system's lifecycle, including design, implementation, and evaluation. Furthermore, the study situates the system within the broader discourse on rule-based expert systems for heart palpitations diagnosis, critically analyzing their efficiency, potential pitfalls, and ongoing challenges. Through this research, the value of integrating rule-based expert systems in clinical diagnostic processes is highlighted, illustrating its capacity to enhance diagnostic accuracy and patient outcomes. (shrink)

Countermeasures for mpox (formerly known as monkeypox), primarily vaccines, have been in limited supply in many countries during outbreaks. Equitable allocation of scarce resources during public health emergencies is a complex challenge. Identifying the objectives and core values for the allocation of mpox countermeasures, using those values to provide guidance for priority groups and prioritisation tiers, and optimising allocation implementation are important. The fundamental values for the allocation of mpox countermeasures are: preventing death and illness; reducing the association between death (...) or illness and unjust disparities; prioritising those who prevent harm or mitigate disparities; recognising contributions to combating an outbreak; and treating similar individuals similarly. Ethically and equitably marshalling available countermeasures requires articulating these fundamental objectives, identifying priority tiers, and recognising trade-offs between prioritising the people at the highest risk of infection and the people at the highest risk of harm if infected. These five values can provide guidance on preferable priority categories for a more ethically sound response and suggest methods for optimising allocation of countermeasures for mpox and other diseases for which countermeasures are in short supply. Properly marshalling available countermeasures will be crucial for future effective and equitable national responses to outbreaks. (shrink)

This study employs machine learning to predict diabetes using a Kaggle dataset with 13 features. Our three-layer model achieves an accuracy of 98.73% and an average error of 0.01%. Feature analysis identifies Age, Gender, Polyuria, Polydipsia, Visual blurring, sudden weight loss, partial paresis, delayed healing, irritability, Muscle stiffness, Alopecia, Genital thrush, Weakness, and Obesity as influential predictors. These findings have clinical significance for early diabetes risk assessment. While our research addresses gaps in the field, further work is needed to enhance (...) model generalizability. (shrink)

Breast cancer remains a significant health concern worldwide, necessitating the development of effective diagnostic tools. In this study, we employ a neural network-based approach to analyze the Wisconsin Breast Cancer dataset, sourced from Kaggle, comprising 570 samples and 30 features. Our proposed model features six layers (1 input, 1 hidden, 1 output), and through rigorous training and validation, we achieve a remarkable accuracy rate of 99.57% and an average error of 0.000170 as shown in the image below. Furthermore, our investigation (...) identifies the most influential features in breast cancer diagnosis, shedding light on the key determinants of malignancy. Notably, we find that factors such as fractal dimension_se, symmetry worst, compactness_worst, symmetry_se, and smoothness_se play pivotal roles in distinguishing between benign and malignant cases. This research contributes to the ongoing efforts to enhance breast cancer diagnosis, providing valuable insights into feature importance and showcasing the potential of neural networks in medical applications. Our findings have implications for improving early detection and treatment strategies, ultimately contributing to improved patient outcomes. (shrink)

The study aimed to investigate the reality of spreading the culture of entrepreneurship at Al-Azhar University from the point of view of students of the Faculty of Engineering and Information Technology and diagnose the most important obstacles that limit its activation. The researchers used the descriptive approach (survey) to achieve the objectives of the study, and relied on the questionnaire as a tool for applied study. The study concluded that: The reality of spreading the culture of entrepreneurship at Al-Azhar University (...) from the point of view of the students participating in the study came with an average degree of approval, while the most important obstacles and possible proposals for activating it came with a high degree of approval, which indicates the existence of strengths of Al-Azhar University in spreading the culture of entrepreneurship among students. Deficiencies must be corrected through proposals. In light of the results of the study, it was possible to develop a number of recommendations that can contribute to activating the culture of entrepreneurship at Al-Azhar University. Including the establishment of a specialized center for entrepreneurship within the university, develop a declared strategic plan to spread and develop the culture of entrepreneurship, allocate a sufficient budget to sponsor and support entrepreneurial ideas and projects for students and provide specialized cadres and certified trainers in the field of entrepreneurship. (shrink)

A newborn baby is an infant within the first 28 days of birth. Diagnosis and treatment of infant diseases require specialized medical resources and expert knowledge. However, there is a shortage of such professionals globally, particularly in low-income countries. To address this challenge, a knowledge-based system was designed to aid in the diagnosis and treatment of neonatal diseases. The system utilizes both machine learning and health expert knowledge, and a hybrid data mining process model was used to extract knowledge from (...) a clinical dataset. The PART algorithm achieved the highest performance result with 98.06% accuracy under 10-fold cross-validation, and the generated rules were used to develop the knowledge-based system. The system achieved 90.9% accuracy in system performance testing and 89.2% in user acceptance testing, and is intended to serve as an assistant tool for healthcare experts. (shrink)

Mango is an economically significant fruit crop cultivated in various tropical and subtropical regions around the world. However, the productivity and quality of mangoes can be severely impacted by a range of pests. This research paper introduces an innovative approach to identify mango pests using an expert system. The expert system integrates knowledge from entomology and plants to provide accurate identification of common mango pests. The paper outlines the development and implementation of the expert system using Clips shell, which utilizes (...) rule-based techniques to analyze symptoms associated with mango pests. By inputting observed symptoms, such as leaf spots, fruit damage, leaf mild and stem cankers the system can accurately identify the specific pest species affecting the mango tree. For each pest, the paper discusses their specific symptoms and Favorable conditions that affect the mango plant. By understanding the identification and symptoms of these pests, mango growers and agricultural professionals can implement appropriate pest management strategies to mitigate the economic losses caused by these insects. The research presented in this paper aims to contribute to the body of knowledge on mango pest management, facilitating sustainable mango production and ensuring the availability of high-quality mangoes in global markets. (shrink)

Lung cancer is a serious and deadly disease that affects the lungs, which are responsible for taking in oxygen and expelling carbon dioxide from the body. The disease can develop in any part of the lungs and is usually caused by smoking or exposure to certain chemicals. The main Objective: of this expert system is to provide an accurate diagnosis of lung cancer and the appropriate treatment options. In this paper, Methods: we present the design and implementation of an expert (...) system that can assist physicians in diagnosing lung cancer and determining the best course of treatment. The system provides an overview of the disease, its causes, symptoms, diagnosis, and treatment, along with relevant medical information. Results: The system was developed using the Clips expert system language and evaluated by medical professionals who found it to be an effective tool for diagnosing and treating lung cancer. Conclusion: The proposed expert system has the potential to improve patient outcomes and reduce healthcare costs associated with the treatment of lung cancer. (shrink)

This review delves into the influence of big data analytics on project management effectiveness and project success rates. By examining applications, accomplishments, hindrances, and emerging developments in the context of big data analytics and project management, this review provides insights into its transformative potential. Results indicate that big data analytics fosters improved project performance, more robust risk management, and heightened adaptability. However, challenges related to data quality, privacy, and project manager training remain to be addressed. This review underscores the value (...) of data-driven decision-making for both practitioners and researchers in the project management field. (shrink)

The global water crisis is being exacerbated by climate change, even in the United States. Recycled water is a feasible alternative to alleviate the water shortage, but it is constrained by humans’ perceptions. The current study examines how residents’ water scarcity awareness and climate change belief influence their willingness to use recycled water directly and indirectly. Bayesian Mindsponge Framework (BMF) analytics was employed on a dataset of 1831 residents in Albuquerque, New Mexico, an arid inland region in the US. We (...) discovered that residents’ willingness to use direct recycled potable water is positively affected by their awareness of water scarcity, but only if they believe in the impacts of climate change on the water cycle. Meanwhile, the willingness to use indirect recycled potable water is influenced by water scarcity awareness, and the belief in climate change further enhances this effect. These findings implicate that fighting climate change denialism and informing the public of the water scarcity situation in the region can contribute to the effectiveness and sustainability of long-term water conservation and climate change alleviation efforts. (shrink)

Abstract: The Knowledge-Based System for Diagnosing Breast Cancer aims to support medical students in enhancing their education regarding diagnosis and counseling. The system facilitates the analysis of biopsy images under a microscope, determination of tumor type, selection of appropriate treatment methods, and identification of disease-related questions. According to the Ministry of Health's annual report in Gaza, there were 7,069 cases of breast cancer between 2009 and 2014, with 1,502 cases reported in 2014. In an era dominated by visual information, where (...) 65% of the population are visual learners, the Knowledge-Based System serves as an effective tool to aid long-term information retention by utilizing visual and textual resources. The system features a user-friendly interface, enabling students to diagnose the disease and expand their understanding. Furthermore, it can be accessed via smartphones. The Knowledge-Based System comprises three primary components: Firstly, it provides specific patient-oriented questions to familiarize students with the questioning process. Secondly, it facilitates the analysis of biopsy sample images to determine their integrity and identify potential infections. Lastly, the system incorporates animated videos illustrating various approaches for treating breast cancer. (shrink)

Abstract: The emergence of the novel coronavirus (COVID-19) in 2019 has presented the world with an unprecedented global health crisis. The rapid and widespread transmission of the virus has strained healthcare systems, disrupted economies, and challenged societies. In response to this monumental challenge, the intersection of technology and healthcare has become a focal point for innovation. This research endeavors to leverage the capabilities of Artificial Neural Networks (ANNs) to develop an advanced predictive model for forecasting the spread of COVID-19. It (...) involves the collection, analysis, and integration of diverse datasets encompassing epidemiological, clinical, and social factors that influence the virus's dissemination. (shrink)

Climate change temperature prediction plays a crucial role in effective environmental planning. This study introduces an innovative approach that harnesses the power of Artificial Neural Networks (ANNs) within the Just Neural Network (JustNN) framework to enhance temperature forecasting in the context of climate change. By leveraging historical climate data, our model achieves exceptional accuracy, redefining the landscape of temperature prediction without intricate preprocessing. This model sets a new standard for precise temperature forecasting in the context of climate change. Moreover, our (...) research provides valuable insights into the pivotal factors influencing temperature variations, making significant contributions to environmental science and climate mitigation strategies. (shrink)

Coronary artery vasospasm (CAVS) is a clinical entity that can cause angina, but also unstable angina pectoris, acute myocardial infarction, fatal arrhythmias, and sudden death. Although it is a condition that is usually controlled with medical treatment, more aggressive treatments may rarely be required. In this case, the patient with a known diagnosis of CAVS had multiple arrests despite optimal medical treatment. We observed that fatal arrhythmias persisted in the Implantable Cardioverter Defibrillator (ICD) records, even though we implanted a stent (...) and gave the patient maximal medical treatment. We performed sympathectomy as a last resort and we did not detect any recurrence in the 6-month follow-up of the patient. ICD implantation and sympathectomy should always be considered in resistant CAVS cases. (shrink)

This study employs a neural network to analyze the connection between smoking, drinking, and various health-related factors using a dataset of 5148 samples. Achieving an impressive 99.94% accuracy and an average training error of 0.0016, the model identifies influential factors such as serum aminotransferases, serum creatinine, sex, weight, and triglyceride levels. These findings enhance our understanding of lifestyle choices and their impact on health. This research underscores the potential of machine learning in studying complex health phenomena.