bluuebunny/crossref_metadata_2025 huggingface dataset:
New oxidation catalysts based on copper complexes with salicylidene-amino acids Schiff bases onto SBA-15 support
Authors:   University of Craiova, Mihaela Mureseanu , Andreea Eliescu ,   University of Craiova, Cezar-Ionut Spinu ,   University of Craiova, Nicoleta Cioatera ,   University of Craiova
Published: January 2024

New mononuclear Cu(II) complexes with Schiff base derived from salicylaldehyde condensed with alanine (Ala), phenylalanine (Fen), glycine (Gli) and histidine (His) amino acids were synthesized and covalently anchored onto an amino-functionalized SBA-15 mesoporous silica in order to obtain efficient heterogeneous catalysts. The elemental, structural, textural and morphological characterization confirmed the structure of the synthesized complexes and their successful immobilization into the inner pore surface of the NH2-functionalized support without the loss of the mesoporous structure. The catalytic activity of the free or immobilized Cu(II) complexes was tested in oxidation of styrene with H2O2 under mild conditions with very good results.
The antioxidant action of vitamins during the electrodegradation of Brown HT additive
Authors:   University of Craiova, Bogdan Tutunaru , Amelia Bogatu ,   University of Craiova
Published: January 2024

The electrochemical behavior of the Brown HT dye is studied by two electrochemical methods; cyclic voltammetry and electrolysis at constant current density, in association with UV-Vis spectrophotometric analysis. The study highlights the antioxidant role of vitamin A-palmitate, vitamin C and vitamin E-acetate on the electrochemical degradation processes of Brown HT dye. The study shows that all three vitamins have a retarding effect on the electrochemical degradation of Brown HT dye, and among these the most pronounced is that of vitamin C.
Spectral characterization of betanin
Authors:   University of Craiova, Anca Moanta , Marian Tutuc ,   University of Craiova
Published: January 2024

The betanin from the roots of Red beet was extracted using solid-liquid extraction. This extract was characterized using FTIR spectroscopy and UV-Vis spectrophotometry.
The Effectiveness of Land Tenure Based on the Utilization of the Full Systemic Land Registration Program (Study Case: Karimun Regency, Riau Islands Province)
Authors: Shahrullah Rina Shahriyani , Situmeang Ampuan , Hudayani Yulia Christi Nurul
Published: January 2024

Program Pendaftaran Tanah Sistematis Lengkap (PTSL) merupakan inisiatif Pemerintah yang bertujuan untuk memberikan kepastian hukum dan perlindungan kepada rakyat Indonesia dalam hal kepemilikan tanah. Namun, persyaratan yang disederhanakan untuk membuktikan hak atas tanah dalam Program PTSL telah mengubah nilai hukum dari prosedur yang sebelumnya dijelaskan dalam Peraturan Pemerintah Nomor 24 Tahun 1997. Surat Keterangan Penguasaan Tanah (SKPT), yang dikeluarkan oleh kepala desa/lurah dan diakui oleh camat, tetap berfungsi sebagai bukti hak, tetapi telah dikecualikan dari Program PTSL. Di Kabupaten Karimun, telah diterapkan kebijakan untuk mengatur prosedur penerbitan SKPT melalui Peraturan Bupati Karimun Nomor 41 Tahun 2016. Namun, implementasi kebijakan ini tidak sejalan dengan Program PTSL. Akibatnya, program PTSL telah memperkenalkan tantangan baru dalam hal membuktikan hak atas tanah. Penelitian yuridis empiris, yang dilakukan dengan menggunakan teknik purposive sampling, telah mengidentifikasi beberapa faktor yang memengaruhi hambatan penggunaan SKPT sebagai bukti hak dalam Program PTSL. Faktor-faktor tersebut meliputi faktor hukum, penegak hukum, fasilitas infrastruktur pendukung, dan faktor yang terkait dengan masyarakat.
The digestibility value of local chicken rations fed with feed containing fermented catfish waste
Authors: Abun Abun  , Helmi M. Akbar  , Rahmad F. Ramadhan  , Deny Saefulhadjar
Published: January 2024

The study aims to determine the effect of fermented patin fish waste (FPFW) by microbes Lactobacillus paracasei, Bacillus subtilis, and Saccharomyces cerevisiae (LBS) in rations on the digestibility of dry matter and crude protein, as well as obtain the level of use that produces the best digestibility of dry matter and protein in local chickens. The study used SNC(SNC) aged 14 weeks, as many as 24 tails, kept for 14 days. The experimental design was randomized, with six treatments and four repeats. Ration treatment is R0 (Lower control ration, protein 15% and EM 2750 kcal/kg, without the use of FPFW); R1 (R0 contains 5% FPFW ); R2 (R0 contains 10% FPFW); R3 (R0 contains 15% FPFW); R4 (R0 contains 20% FPFW); and RS (Upper control ration, protein 18% and EM 2750 kcal/kg, without use of FPFW). The results showed that the use of FPFW by LBS microbes had a significant effect (P<0.05) on the digestibility of dry matter and ration protein. Using 10% FPFW in the ration formula provides the best digestibility value of dry matter and crude protein of the ration on SNC.
Editorial
Authors: Sarma Dhurjjati
Published: January 2024

The present issue (vol. 3, no. 2) of the transcript: An e-Journal of Literary and Cultural Studies is a themed one with special focus on Disability Studies. With this aim in view, the issue comprises four articles and one book-review on various aspects of the area chosen for analysis. The subjects explored range from locating female experiences of disability and sexuality, followed by an analysis on the politics of subjugating female bodies to power structures, and then comprising two genre-based studies—one on Graphic novels and the other on cinema—thereby enabling the development of a truly multimedial perspective on Disability Studies. In her article on the twin issues of sexuality and violence, and their joint interface with women with disabilities, Dr. Mukul Chaturvedi analyses select narratives of such women, including a few court cases, and studies how violence inflicted upon them is often examined without due cognisance of the sexuality of the victims concerned. This engagement with the disciplinary rigours of repressive structures continues in the article by Rishiraj Sen & Shweta Jha which deals with a select lesser-explored short stories of Chughtai to show how regimes of surveillance, norms, and punishment are deployed to construct desexualised female bodies amenable to the unjust strictures of patriarchy. Mushrifa Rahim, in her article, examines the efficacy of the Graphic novels with its visual dynamics as a medium of expressing the intricate experiential dynamics of disability and also enabling newer orientations on the subject-matter explored through its medium. Roy Jreijiry & Carla Dreij continue this “medial” engagement with the representation of disability through an analysis of Lebanese cinema comprising characters played by actors with both assumed and real-life disabilities. The authors also shed light on the problematic consequences of normalising disability at the cost of trivialising or making light of the special needs of the persons with disabilities. The book-review by Dr. Krishna Kumar S examines Andrew Leland’s The Country of the Blind: A Memoir at the End of Sight as a work that looks at blindness both as a lived experience and a subject of historical inquiry, and shows how writing as an activity could ultimately prove to be an enabling experience and a faculty for “sightedness” thereby effectively countering the limitations of blindness.
Un acercamiento a la identificación de la población escolar afrodescendiente actual en Chile: criterios sociales y educativos para avanzar a su atención equitativa
Authors: Peralta Espinosa María Victoria , Llerena Rodríguez Marco
Published: January 2024

El presente artículo se aproxima al complejo tema de identificar a quienes constituyen la población escolar afrodescendiente actual en el sistema educativo chileno, para aportar a la construcción del instrumento curricular que comprende la Ley 21551 que los reconoce legalmente. Algunos antecedentes históricos y actuales fundamentan que, pese a la percepción de la sociedad chilena, esta población ha sido y es un colectivo mayor que lo que se ha considerado. Se abordan también algunos problemas sociales y educativos de los afrodescendientes necesarios de tener presente para poder derivar orientaciones para el plano curricular, considerando a la vez la necesidad de generar cambios importantes en la valoración de la sociedad chilena hacia esta población.
Experiencia colonial y etnografía personal: los diarios de Michel Leiris
Authors: Gálvez Damián
Published: January 2024

El objetivo principal del presente artículo es analizar la obra diarística de Michel Leiris como el resultado de una escritura situada en las densas tierras de la subjetividad. Haciendo uso de su diario de campo, el texto aborda las reflexiones que el escritor francés entregó respecto al colonialismo europeo en el marco de una expedición antropológica que cruzó el continente africano en la primera mitad del siglo XX. Además, el manuscrito coloca énfasis en su diario de sueños, antes y después de la misión Dakar-Yibuti (1931-1933), como un recurso literario de gran valor para un mejor entendimiento de su trabajo etnográfico. Por último, el ensayo desea igualmente poner en evidencia el papel que desempeñó el viaje de investigación a África en el pensamiento de Leiris respecto al discurso colonial, tomando para ello el punto de vista de su diario íntimo.
Una crítica al reduccionismo neurológico en la teoría general del trauma de Malabou: la persistencia de lo simbólico en los traumas sociopolíticos
Authors: Cabrera Sánchez José
Published: January 2024

El presente texto plantea un cuestionamiento a la teoría general sobre el trauma propuesta por la filósofa Catherine Malabou. A nuestro juicio, lo que Malabou califica como una teoría general del trauma es más bien una teoría genérica del trauma, radicando su falla en la generalización del paradigma de la cerebralidad a toda forma de trauma. Intentaremos mostrar que el mutismo simbólico del sujeto postraumático en los traumas sociopolíticos no descansa únicamente en el fundamento material que ofrece la cerebralidad, sino que depende de un colapso de las estructuras de significado que caracterizan a los traumas sociopolíticos, desplome del sentido que debe ser pensado dentro de los marcos de la historia, el despliegue del antagonismo político y las entreveradas vías del reconocimiento.
The outcome of horizontal strabismus surgery in Anbar governorate in Iraq: an interventional study
Authors: Fayyadh Rafea Allawi , Abdulelah Aktham Badia , Yosif Wissam AbdulSamad
Published: January 2024

Background: Strabismus is the loss of ocular alignment, which can lead to amblyopia, defective binocularity, and defective depth perception.

Objectives: To assess the results of strabismus surgery among patients older and younger than six years and study the influencing and predictive factors.

Methods: Surgical treatment for 202 patients clinically diagnosed with horizontal strabismus aged 4-45 years was carried out in Fallujah Teaching Hospital between September 2021 and October 2022. Surgical outcome was assessed at the end of 6 months post-operatively. Chi-square and Mann-Whitney Univariate tests were performed to evaluate the statistical relationship between pre-operative factors and surgical outcomes.

Results: Overall, the success rate of horizontal strabismus surgery was 68.3% (138 patients), and the rate of success among the esotropia group (55.1%) was better than the exotropia group (44.9%). Among age groups, a higher recorded success rate was for ages above 6 (71.7%). The success rate was higher in males than females (54.3% and 45.7%, respectively). Chi-square and univariate analysis showed a significant association between gender (p < 0.068), refractive error (p < 0.033), and surgical outcome.

Conclusion: Surgical correction of strabismus improved overall ocular deviation and binocular function. Esotropia patients benefited the most compared to exotropia patients.
Quilombos e quilombolas na Psicologia brasileira: Uma revisão sistemática da literatura
Authors: Barbosa de Souza Pedro Henrique , Bonomo Mariana
Published: January 2024

A presente investigação teve como objetivo identificar como os quilombos e os quilombolas têm se constituído como campo de estudo na Psicologia brasileira. Seguindo as orientações do método PRISMA para Revisão Sistemática de Literatura, foram selecionados 38 artigos publicados entre 2003 e 2023, disponíveis nas bases de dados LILACS, SciELO e no Portal de Periódicos da CAPES. A meta-síntese dos estudos foi realizada através da análise de conteúdo categorial-temática, sendo verificado relativo crescimento do número de publicações a partir do ano de 2019. Os resultados indicaram predominância de temas relacionados aos processos identitários, além de estudos voltados à definição de quilombo, à reflexão sobre a saúde nas comunidades e às formas de atuação da Psicologia em territórios quilombolas. Embora a Psicologia ainda não se constitua como um campo de estudo consolidado sobre os quilombos e os quilombolas no Brasil, evidencia-se a necessidade da construção de ferramentas teórico-metodológicas para uma Psicologia “do” quilombo, baseada na valorização dos saberes e práticas quilombolas e na efetiva participação da comunidade.
A Quantitative Analysis of Morphometric Parameters Using Remote Sensing and GIS Techniques in the Geil River Basin of Darjeeling Himalaya
Authors: Chhetri Bishal
Published: January 2024

The morphometric analysis of the Geil river basin has been carried out with the help of geographic information system (GIS). The drainage network has been classified using Strahler’s scheme for ranking the streams, it has been found that the river basin exhibits dendritic drainage pattern and is a fifth order river basin which is entirely dominated by the lower order streams. The predominance of first order streams that run over a very short length over the steep slopes of the study area has produced a rugged terrain and deeply dissected valleys. The drainage basin has high degree of surface runoff due to the steepness of the topography, impermeable subsurface material and sparse vegetation which in turn makes the area more prone to soil erosion and landslides. The linear morphometric parameters were used for developing the prioritization of the streams; this exercise has helped in the identification of the streams/ stream orders where soil and water conservation measures can be concentrated for an efficient management of the watershed.
Importance, challenges and perspectives of using fungi in the biological control of plant diseases for Brazilian agriculture
Authors: Freire Antonia Fábia do Nascimento , Silva Eduarda de Macêdo , Santos Taides Tavares dos , Figueira Felipe da Silva
Published: January 2024

Brazil's economic growth and development have a strong relationship with agribusiness. Agribusiness is made up of a production chain. This chain can be influenced by several problems, which can compromise the entire production cycle, such as various diseases and pests that can affect crops and reduce productivity, generating economic losses for producers. The objective of this literature review, of an exploratory-descriptive nature, is to present an overview of the economic, social, and environmental importance of Brazilian agribusiness, focusing on the western region of Bahia, pointing out its main challenges, as well as discussing the use of biotechnological tools for controlling plant diseases.
Implementation of a pulmonary rehabilitation program for patients with long COVID in Northeastern region of Brazil: a feasibility study
Authors: Silva Guilherme Pinheiro Ferreira da , Sena Riany , Pinto Juliana , Araújo Framartinho , Freitas Carlos Henrique , Fernandes Paulo Henrique , Pereira Eanes
Published: January 2024

Objective: to implement and evaluate the feasibility of a pulmonary rehabilitation (PR) program for patients with long covid in the northeast region of Brazil. Methods: patients participated in a 12-week (2 sessions per week, 60 minutes per day) outpatient comprehensive PR programme. Socio-demographics and clinical variables were recorded during the baseline assessment. The feasibility was assessed through adherence analysis to the PR program. Exercise capacity, functional capacity, functional status, depressive symptoms severity and dyspnoea were assessed at baseline and after completion of study protocol. Results: the per-protocol study population consisted of 28 patients (64.2% female), mean age 55.3 ± 17.3 years, and the main complaint was limitation of efforts (67.8%). The feasibility of the PR program was 82.1% (n=23). Following PR, significantly improvements were found for the following parameters: exercise capacity (p<0.001), functional capacity (p<0.001), functional status (p=0.01), depressive symptoms severity (p=0.001) and dyspnea (p=0.01). Conclusion: PR is a feasible and effective intervention for improving physical and psychosocial outcomes of patients with long covid.
SUSTAINED RELEASE FLOATING IN SITU GELLING SUSPENSION OF ACYCLOVIR
Authors:   Dept. of Pharmaceutics, STES’s Sinhgad College of Pharmacy, Vadgaon (Bk), Pune - 411 041, Maharashtra, India, Chiprikar Pallavi , Ranpise Nisharani
Published: January 2024

Acyclovir has a 10-30 % oral bioavailability with a half-life of 2-3 h. Acyclovir mainly gets solubilized in acidic conditions, and its absorption is found in the upper GIT. The primary aim of this research work was to formulate gastroretentive dosage form of acyclovir that can float on gastric content. The polymer used was sodium alginate, while the floating agent was calcium carbonate. The dependent variables of drug release, floating lag time and viscosity were significantly impacted by sodium alginate and CaCO3 concentrations. To assess the desired release pattern, a dissolution was performed in 0.1 N HCl at 50 rpm. Shear-thinning behaviour, instant gelation, 99.2 % drug release at 12 h, and instant floating ability greater than 12 h in 0.1 N HCl were all observed in the suspension. Consequently, a sustained-release floating dosage form for acyclovir, with a duration of 12 h, was successfully developed.
The prevalence of postnatal depression and associated factors among clinic attendees in Maseru, Lesotho
Authors: Mokwena Kebogile Elizabeth , Makhozonke Ntombizotwa
Published: January 2024

The purpose of the study was to screen for postnatal depression (PND) symptoms among women attending primary health care (PHC) facilities within Maseru City Council in Lesotho.  The Edinburg Postnatal Depression Scale (EPNDS) was used to screen for PND symptoms in a sample of 393 postnatal mothers, and a quantitative questionnaire was used to collect socio-demographic data. The Pearson chi-test of association was used to explore associations between socio-demographic variables and EPND scores (p<0.05). The ages of the participants ranged from 17 to 40, with a mean of 27 years. Most were married (n = 310, 78.88%) and unemployed (n = 254, 64.63%), with high school as their highest level of education (n = 272, 69.21%). The majority (n = 312, 79.6%) had between 1 and 2 children. A third of the sample were HIV positive (n = 117, 29.77%). The prevalence of PND symptoms was 43%. Social support, financial support from the partner, relationships with the partner, knowledge of HIV status, and having experienced a severe financial crisis were significantly associated with PND symptoms. On multivariate logistic regression, only financial support from a partner and having experienced a severe financial crisis remained significantly associated with the development of PND (p = 0.05). Risk factors for PND are mostly socio-economic. The high prevalence of PND highlighted the need to integrate routine screening of mothers for PND, which will enable early diagnosis and treatment and thus contribute to the improvement of maternal and child well-being in the country.
Trabalho doméstico e representatividade sindical
Authors: Silva Marina Mira de Souza
Published: January 2024

O artigo em questão visa realizar uma análise crítica da evolução histórica dos direitos trabalhistas de empregados domésticos com foco na organização coletiva da categoria. Para tanto, realizamos um estudo acerca das legislações destinadas a tal grupo no decorrer dos anos, considerando sua ocupação inicial enquanto locador, dirigidos pelo Código Civil, perpassando pela regulamentação através de lei própria cuja aplicação era acompanhada subsidiariamente da Consolidação das Leis do Trabalho, até o momento atual em que há o surgimento de plataformas digitais que oferecem serviços domésticos por preço acessível sem a necessidade de vinculação empregatícia a esses trabalhadores. Paralelamente, busca-se pontuar os obstáculos enfrentados pela categoria durante a pandemia do COVID-19, tendo em vista que se trata de trabalho obrigatoriamente realizado de maneira presencial. Assim, o objetivo do artigo é compreender as dificuldades enfrentadas pelos profissionais plataformizados e os regulamentados perante a Lei Complementar 150/2015, diante de uma exclusão social oriunda das desigualdades de gênero, raça e classe. Por fim, visa mapear as ações dos sindicatos e asseverar a relevância da ação coletiva dos domésticos enquanto ferramenta reivindicatória habilitada a promover melhorias.
Desenho das políticas públicas na pandemia do COVID-19: análise das metas e prioridades das Lei de Diretrizes Orçamentária (LDO)
Authors: Ferreira Ynis Cristine de Santana Martins Lino , Carvalho Josué de Lima , Sobrinho Mário Vasconcellos , Vasconcellos Ana Maria de Albuquerque
Published: January 2024

Desde 2019 a pandemia do COVID-19 vem se alastrando pelo mundo e impondo desafios estruturais, sociais, econômicos e sanitários. No âmbito brasileiro, os Estados decretaram calamidade pública e flexibilizaram o processo de gestão em meio ao cenário atípico. Assim, questiona-se qual a construção social e desenho das políticas públicas na pandemia do COVID-19? O foco principal são as Leis de Diretrizes Orçamentárias (LDO) por estabelecerem as metas e prioridades para elaboração dos orçamentos públicos. Especificamente se analisa a LDO dos Estados os quais registraram mais mortes até o momento da pesquisa: São Paulo, Pará, Paraná, Rio Grande do Sul e Minas Gerais. Metodologicamente, se optou pela ferramenta Iramuteq para análise de similitude a qual possibilitou identificar as aproximações e distanciamentos de termos no corpus textual. O corpus textual foi formado pelos trechos identificados nas LDO os quais tratavam sobre a pandemia de COVID-19. Os resultados da pesquisa demonstraram que a pandemia de COVID-19 está fortemente ligada ao contexto econômico, marcado pela instabilidade de arrecadação, termos os quais se distanciam. A ligação mais forte está expressa entres os termos pandemia, destacando-se cenário, LDO e Incerteza. Percebe-se “União” como termo que mais se distancia de COVID-19, demonstrando uma frágil gestão integrada ao aspecto tributário.
Cold Hammered Archaeology: An Experimental Archaeometallurgical Approach to Native Copper Working in the Lake Superior Basin
Authors: Peterson Ryan Edward
Published: January 2024

Experimental archaeometallurgy has allowed for the reconstruction of past metal-production processes by utilizing local and regional materials and tools that had been available to Indigenous people. The re-creation of these past production processes allows for the creation of comparative collections that can be used to help interpret the archaeological record. In this article, I examine the by-product created in the production of native copper tools and ornamentation in North America's native copper industry. Native copper is 99% pure metallic copper that was worked through a process called “cold hammering” and annealing that allowed for the manipulation of metallurgical material without the aid of melting or smelting. Cold hammering instead works the copper at or near room temperature, with periodic annealing to recrystallize the metallurgical structure. Throughout this process, waste materials are generated. My goal is to create a preliminary classification of copper waste produced during the production process as a reference for comparison of small dubious copper artifacts found on archaeological sites. This classification system aims to provide the framework for researchers to better understand copper production evidence found on archaeological sites. By understanding what copper waste looks like, researchers will be positioned to more accurately identify evidence of purposeful copper production versus evidence of the corrosion of larger copper pieces.
Analysis of the effect of financial ratios on ROA at Commercial Banks on the IDX
Authors: Murtiningrum Widiastuti , Wahyuningsih Erna
Published: January 2024

Financial system resilience, especially indonesia's current banking condition amid the crisis and global economic pressures, has been maintained and there has been an increase in intermediation, as can be seen from the high capital adequacy ratio (CAR), the ratio of operating expenses to operating income increased during the Covid pandemic, the ratio of non-performing loans (NPL), net interest income (NIM) increased in line with improving macro conditions,  with the high capital owned there is an increase in the fulfillment of loan demand (LDR) with a low ratio level, profitability ratio (ROA) that is increasing by utilizing assets and capital (equity) to the maximum extent that is maintained. Judging from the existing conditions, this study was conducted with the aim of analyzing, testing and concluding the influence of CAR, BOPO, NPL, NIM and LDR on ROA in 4 state-owned banks listed on the Indonesia Stock Exchange for the 2017-2022 period using secondary data through financial statement information of Commercial Banks. Quantitative analysis techniques with multiple linear regression as well as classical assumption tests using Eviews 9. The results show that BOPO, NIM and LDR partially have a positive and significant influence, while CAR and NPL have no significant influence on ROA Simultaneously CAR, BOPO, NPL, NIM and LDR affect the increase or decrease in ROA. From independent variables to dependent variables have a predictive ability of 98% and 2% are influenced by other variables outside the study.
Feeding formaldehyde-treated sesame meal to lactating Murciano-Granadina goats: implications on milk yield and composition, digestibility, rumen fermentation, and blood metabolites
Authors: Firozi Fateme , Dayani Omid , Tahmasbi Reza , Dadvar Poorya
Published: January 2024

Aim of study: To investigate the effect of substituting sesame meal (SM) treated with different levels of formaldehyde instead of soybean meal (SBM) on rumen fermentation, milk composition, and hemato-chemical parameters in lactating goats.
Area of study: Kerman, Iran.
Material and methods: Forty Murciano-Granadina goats in mid-lactation were allocated to four groups as a completely randomized design for 56 d. They were fed with diets containing: 1) SBM (control), 2) 12.5% untreated SM, 3) 12.5% treated SM with 0.8 g formaldehyde/100g crude protein (CP), and 4) 12.5% treated SM with 1.2 g formaldehyde/100g CP.
Main results: The goats fed diet containing SM treated with 1.2 g of formaldehyde had greater (p < 0.01) intake of dry matter, CP and metabolizable energy (ME) than other groups. Milk yield and milk protein in goats fed diets containing 1.2 g formaldehyde-treated SM were greater than others (p < 0.01). Fat-corrected milk and total solids in groups fed diets containing formaldehyde-treated and untreated SM were greater than those in control (p < 0.01). Goats fed control diet showed a greater proportion of saturated fatty acids (SFA), and short and medium-chain FA in their milk compared to other groups (p < 0.01). Partial replacement of SBM with formaldehyde-treated or untreated SM increased milk unsaturated FA and long-chain FA (p < 0.01). Goats fed formaldehyde-treated SM had lower acetate production (p < 0.01).
Research highlights: Partial replacement of SBM with formaldehyde-treated SM can be suggested to increase lactating goats' performance without adverse effects on their health.
Comparative analysis of voice denoising using machine learning and traditional denoising
Authors: Tang Ke
Published: January 2024

Noise often affects the content of an audio signal, and noise reduction techniques can help retrieve the original speech content. In recent years, AI-based noise reduction has witnessed rapid development. This article provides a brief introduction to the background and principles of several AI-based noise reduction methods. One of the mentioned methods is an end-to-end time-domain deep learning speech division algorithm, which utilizes a multi-layer CNN network framework. Due to the need for deep network architectures to extract features, it involves a higher computational load. Traditional noise reduction algorithms, on the other hand, are based on researchers' understanding of noise patterns and modeling. Traditional methods may not perform well on non-stationary noise, but they are relatively simple in terms of algorithmic implementation. Through a comparison from various perspectives, AI-based noise reduction demonstrates superior performance in known environments compared to traditional methods. However, in unknown environments, AI-based noise reduction may encounter performance anomalies. Combining AI-based and traditional noise reduction techniques can provide better stability and higher performance in certain scenarios.
Development and application of Doppler climate radar
Authors: Wang Baihao
Published: January 2024

Extreme climates would make a difference in peoples daily lives and threaten security. In order to regulate and lower the damage effectively, we ought to monitor these weather conditions accurately. Using weather radar to realize early warning and real-time monitoring of sudden catastrophic weather is of great significance and value. With the development of science and technology, weather radar has made some progress. In order to promote its further development, the present situation and development trend of weather radar are analyzed in this paper. Generally, a few developed states have already started to utilize this technique, and it will be popularized gradually. Basically, a few developed states, such as America, have already started to utilize this technique to forecast the climate. Even though this radar is not mature enough to accomplish the high aim, it will be popularized over time.
Analysis of motor vehicle collisions based on Nave Bayes
Authors: Guo Jiawei
Published: January 2024

Prediction and prevention of road traffic accidents are two of the most important instruments for enhancing road safety.This paper investigates the application of the Naive Bayes method to the analysis of motor vehicle collisions. With an emphasis on comprehending the factors that contribute to such incidents, the paper employs a literature review to collect pertinent data. Using the Nave Bayes method, the study investigates the relationships between multiple variables, including weather conditions, road types, and motorist behavior, in order to predict the probability of collisions. The findings highlight the substantial impact of certain factors on the occurrence of collisions and shed light on preventative measures. This research contributes to improving road safety measures and reducing the frequency of motor vehicle accidents by employing Nave Bayes in collision analysis.
Regression model-based CO2 emission prediction and feature importance analysis between developed and developing countries
Authors: Li Zexiang
Published: January 2024

With the increasing focus on greenhouse gases, each country is taking its own measures to reduce the release of carbon dioxide (CO2). In order to discuss the CO2 release in developed and developing countries, this paper establishes a regression model by considering gross domestic product (GDP), population, and energy, and obtains prediction equations for developed and developing countries and discusses the influence of each factor on CO2 release. The results are that for developed countries, the impact sort in descending importance is year, population, energy per GDP and GDP, and the impacts of Energy per GDP and population are negative, while the others are positive. For developing countries, it is almost the opposite, with the impact sort in descending importance is GDP, energy per GDP, year, and population, and only Year is negative, while the others are positive. So developed countries need to improve in other areas not discussed, and continue to maintain the economic, energy and population quality dimensions. The developed countries need to improve in other areas that are not discussed, in the economic, energy and population quality levels. And developing countries need to work on these three aspects.
A search and rescue robot design based on LiDAR technology
Authors: Ding Yichen , Ye Fei
Published: January 2024

For a long time, search and rescue operations during natural disasters and man-made catastrophes have been a major challenge. Due to the rapidly changing environment in disasters, deploying rescue teams for search missions entails significant risks. With advancements in technology, the latest innovations can be applied to search and rescue tasks to reduce these risks. LiDAR (Light Detection and Ranging) sensors can be installed on unmanned search and rescue vehicles to explore the space. This article utilizes solid-state LiDAR technology, along with various algorithms like SLAM (Simultaneous Localization and Mapping) and EKF (Extended Kalman Filter), to design a remotely controlled unmanned exploration vehicle. By capturing point cloud data, it enables modelling and recording of indoor or outdoor spaces, allowing for space exploration and the identification of trapped individuals and other important rescue-related information before rescue personnel enter the premises. This significantly reduces the risks and time involved in search and rescue operations. The prototype vehicle designed in this paper possesses the advantages of low cost and high flexibility, making it feasible for direct deployment after minor optimization. Finally, the author provides a summary and outlook for this research.
Treating COVID-19 with machine learning
Authors: Zhang Evan
Published: January 2024

From 2020 to 2023, SARS-CoV-2 destroyed much of our society, while few treatments were available due to the time required for drug discovery. However, with recent advancements in artificial intelligence, it is now ready to fight viruses such as SARS-CoV-2. Chemprop, a machine-learning backbone for molecular properties prediction, can be used to discover novel antiviral drugs by training a classifier model with hundreds of thousands of data points that include molecular information represented by SMILES strings and the observed efficacy in inhibiting SARS-CoV-2 in laboratory tests. The resulting model predicts the effectiveness of untested molecules, which then can be manually tested, minimizing tedious hunting traditionally done by human scientists. With promising performance, the proposed method pushes the boundary of machine learnings involvement in drug research. The trained model achieved a high accuracy in predicting the effectiveness of drugs against SARS-CoV-2 with an AUC score of 0.8455. However, the model loses accuracy when predicting the effectiveness of drugs against SARS-CoV, a different strand of coronavirus, with an AUC of 0.7302. The model was then run on one of the data sets to locate the molecule most likely effective against COVID-19, demonstrating its applicability. The result was a molecule with SMILES string CN1CCN(CC1)C(=O)COC=2C=CC(C)=CC2 also called 1-(4-Methyl-piperazin-1-yl)-2-p-tolyloxy-ethanone. Then the model DrugChat was utilized to determine the properties of the molecule. The models ability to find likely drugs can hasten drug research drastically, potentially saving countless lives during future pandemics.
New perspective on human-computer interaction-based on speech recognition in driving
Authors: Xue Honghao
Published: January 2024

With the popularity of smart driving and in-vehicle intelligent systems, speech recognition plays an important role in driving as a key link of human-computer interaction. However, although speech recognition systems have been widely used, their application inhuman-computer interaction still needs to be improved. The purpose of this paper is to examine or review the latest perspectives on speech recognition as part of human-computer interaction in driving. lt provides an in-depth understanding of the potential and future development of speech recognition in driving by exploring, among other things, new directions and features that can be improved. Through a comprehensive analysis of relevant literature and research results, this paper will provide an overview of the current state of speech recognition in human-computer interaction, point out the challenges and limitations that still exist in the driving environment, and focus on new perspectives on speech recognition in driving that may enable more highly accurate command recognition and natural conversational interaction to enhance the driving experience and safety through the use of advanced speech recognition technologies. Explore how technologies such as artificial intelligence and machine learning can be used to drive the development of speech recognition and address current challenges. ln addition, research advances in the areas of driving behavior analysis, emotion recognition, and personalized driving related to speech recognition will be explored. The review and analysis in this paper will provide valuable references and guidance for further research and development of speech recognition-based driving human-computer interaction systems.
Drum dance accuracy detector: A CNN-based pose estimation framework for detecting inaccurate movements in Miao drum dance
Authors: Qian Rouhan , WU Weihong
Published: January 2024

As an intangible cultural heritage derived from the Miao culture, drum dance faces the crisis of losing its inheritance. The main cause behind the issue is the lack of teaching resources and distribution of the drum dance. This work is dedicated to resolving this issue with the usage of the recent advances in artificial intelligence. More specifically, the solution of Incorrect Movement Detection (IMD) is invented, where the core technique lies in the CNN-based pose estimation algorithm. IMD enables the real-time detection of the inaccurate dance movements, which realizes the possibility of self-learning of drum dance. The effectiveness of IMD is already validated by its application in a field research project at a Miao village in Xiangxi, Hunan, China. The proposed system may have a significant impact on the preservation and promotion of Miao culture.
Study on the safety of elbow joint with simple upper limb rehabilitation exoskeleton
Authors: Yang Yuxin
Published: January 2024

Due to the great demand for treating physicians for patients with disabilities caused by stroke, in order to reduce the workload of doctors, exoskeleton robots have been effectively applied and promoted in post-illness health care. Because the human rehabilitation movement needs certain accuracy and low error tolerance rate, the rehabilitation exoskeleton robot requires high precision. Since the exoskeleton robot needs to be worn on the human body, there are certain requirements for the size and wearing comfort of the machine, and the functional structure of all aspects of the upper limb exoskeleton rehabilitation robot still needs to be further improved. In the medical rehabilitation exoskeleton, for the elbow exoskeleton of the upper limb, an elbow exoskeleton with binding structure is proposed in this paper. The elastic structure connects the human body with the binding structure, and on this basis, the wearing comfort is improved through the improvement of the structure and the selection of materials. At the same time, the passive joint between the binding structure and the exoskeleton is designed. In case of motion error when the motor is actively driven, the passive joint reduces the harmful force and torque, so as to ensure safety. Finally, the feasibility of this method is demonstrated through simulation and analysis of the movement of exoskeleton machine. It is proved that the design has certain practicability and reference value for practical treatment.
Research on fast matrix multiplication algorithm
Authors: Zhang Qize
Published: January 2024

This research mainly focuses on fast matrix multiplication algorithms. Fast matrix multiplication is one of the most fundamental problems in computer science. The fast matrix multiplication algorithm differs from conventional matrix multiplication in that it offers a faster computational approach that can perform the operation in less than O(n3) time complexity. This algorithm provides a more efficient method for multiplying matrices, significantly reducing the computational requirements. The Laser method, developed by Coppersmith and Winograd, is an algorithm for matrix multiplication that does not involve direct computation. It establishes a relationship between matrix multiplication and tensors and simplifies the operation by finding an intermediate tensor that is computationally manageable. This method applies a series of simplification operations to determine an upper bound on the computational complexity of matrix multiplication. However, as matrices become larger, the computational and memory requirements increase, posing challenges for practical implementation. This research will present the main ideas and performance of the Laser method and discuss the improvements made to the Laser method, including refined analysis and asymmetric hashing techniques. Additionally, it highlights the need for further exploration, such as parallel computing and optimization strategies, to enhance the efficiency of matrix multiplication algorithms. Furthermore, this research will also provide a prospectus for the future of matrix multiplication algorithms, such as the practical implementation of the Laser method.
Examination of essential technologies and representative implementations of storage encoding
Authors: Cai Yutong
Published: January 2024

As we continue to navigate the wave of advancements in 5G technology, alongside artificial intelligence and cloud computing, we're witnessing an exponential surge in data generation. Consequently, the performance of storage systems has become increasingly critical. Erasure coding techniques, which originated as channel coding strategies for addressing data transmission errors, have since found application in storage systems. Primarily, erasure coding techniques for distributed storage systems deploy algorithms to generate some redundant data following the computation of the original data. If some of the data becomes invalid, the original data, along with the remaining valid original data and redundancy, can be recomputed using these algorithms. RAID6 is an approach designed to bolster the data protection of arrays. Coding algorithms such as RDP and EVENODD, grounded in RAID6 theory, have been extensively explored. For array codes like RAID6, there's a distinct advantage in dispersing two independent verification pieces of information across different disks. Even if two disks fail, the data and parity information on the remaining disks can be recovered. However, a clear drawback of the RAID6 array code surfaces when a single disk failure occurs: the recovery involves a significant number of disks, leading to extended recovery times, thereby elevating the risk of multiple disk failures. Consequently, the time allocated for data recovery and the number of nodes engaged during data recovery emerge as crucial factors for system stability. For RDP and EVENODD coding algorithms, a maximum of two errors can be tolerated. This paper introduces local redundancy to these two array codes to minimize the number of nodes visited during data recovery, thereby enhancing the system's stability.
An enhanced single-disk fast recovery algorithm based on EVENODD encoding: Research and improvements
Authors: Luo Jiangbo
Published: January 2024

In the wake of rapid advancements in information technology, the need for reliable and efficient data transmission continues to escalate in importance. Channel coding, as a pivotal technology, holds significant influence over data communication. This paper delves into the fundamental technologies of channel coding and their prominent applications. Initially, the study introduces the current research status and the significance of channel coding. Following this, a comprehensive illustration and introduction to the classical coding methods of channel coding are provided. Concluding this exploration, the paper elucidates on the prevalent applications of different channel coding methodologies in scenarios such as the Internet of Things, 5G, and satellite communication, using real-world examples for clarity. Through this comprehensive research, readers gain an understanding of the key technologies underpinning channel coding, as well as the diverse applications that typify its use. By casting light on the practical implications of channel coding in contemporary technological contexts, the paper serves as a valuable resource for those seeking to deepen their knowledge and understanding of this pivotal field.
Research and application exploration of WiFi-based identification technology in the context of next-generation communication
Authors: Han Wenxu
Published: January 2024

With the rapid advancement of wireless networks and the widespread use of WiFi technology, there is a growing interest in utilizing WiFi information for identification purposes. These emerging identification technologies in the new generation have had a profound impact on various aspects of modern life, such as smart furniture research, intelligent security systems, and human-computer interaction. This paper delves into the research and application exploration of WiFi-based identification technology within the context of the new generation. It introduces the knowledge and working principles of Channel State Information (CSI), and discusses the fundamental technologies of Multiple-Input Multiple-Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) in detail. Additionally, it explores current applications and presents a promising future for identification technology from a developmental perspective. By examining the advantages and challenges associated with WiFi-based identification technology, this essay sheds light on its potential impact in various domains. Understanding and exploring this technology are crucial as it has the potential to enhance user experiences, optimize resource allocation, and facilitate intelligent and adaptive systems in the new generation.
Review of artificial neural networks in first-person shooter games
Authors: Chen Hongyu
Published: January 2024

More and more games have entered the market as computer processing power has improved, drawing in a sizable fan base. As a result, the video game industry has seen a rise in both revenue and the breadth of its product offering. Whether or not a game can generate enough revenue is dependent on a number of factors, including the game's ability to attract players, the quality of its gameplay, and the experience it provides to those that play it. This paper through methods of literature review and analysis will review the target detection, image recognition, and other artificial intelligence-related technology used in games, as well as provide suggestions for future development and a summary of the current state of the field.