bluuebunny/crossref_metadata_2025 huggingface dataset:
Disaggregation of probabilistic seismic hazard for two Indian cities: Dehradun and New Delhi
Authors: Sharma Mayank
Published: July 2024

Seismic hazard estimation is the primary step in performance-based earthquake engineering (PBEE). In addition to accurately estimating the median or mean hazard, it is essential to capture its distribution, which can be used for ground motion selection. This study performs a probabilistic seismic hazard assessment (PSHA) to estimate the seismic hazard at two sites in Northern India, i.e., Dehradun and New Delhi. The median uniform hazard spectra (UHS) are used to specify the seismic hazard at eight return periods. The obtained median UHS at the maximum considered earthquake (MCE) for both locations are significantly (up to four times) different from each other. However, both cities are grouped into the same seismic zone (Zone IV) by the Indian codes. Disaggregation results for both sites are also presented. The major contribution at the Dehradun site comes from closely (less than 50 km) located seismic sources of varying magnitude (5.5–8.5). On the other hand, the contribution to hazard at the New Delhi site comes from sources belonging to one of two sets: (1) lower magnitudes (5.5–6.5) sources located within 150 km, and (2) higher magnitude (7.5–8.5) sources located farther away (200 km-350 km).
Household Income and Children’s Mental Health Outcomes: The Mediating Role of Maternal Wellbeing and Parent-Child Relationship Quality
Authors: Wilson Naomi , Minnis Helen , McDaid Shari , Pearce Anna
Published: July 2024

Introduction: Uncertainty remains about the mechanism(s) through which household income influences mental health across the life course. The family stress model suggests the role of parental mental health and child-parent relationship quality may be significant, however few studies have explored this longitudinally. The present study aimed to decompose the pathways from low household income at age 3 to children's mental wellbeing at age 6, via maternal wellbeing (age 4) and parent-child relationship quality (age 5). Methods: We included four sweeps of the Growing Up in Scotland Study (n = 3639). Weights and multiple imputation were used. Low income was defined as the two bottom quintiles of equivalised household income. Potential mental health difficulties were determined using the Strengths and Difficulties Questionnaire. Mediators were assessed using the Depression, Anxiety and Stress Scale and the Pianta Child-Parent Relationship Scale. A causal mediation analysis was conducted. Confounding factors adjusted for included ethnicity, family type, maternal age, education and employment. Results: Children from low-income households at age 3 were more than twice as likely to have a potential mental health difficulty at age 6 compared to all other children (adjusted odds ratio (OR) 2.16 (95% CI 1.50 to 3.80). Reduced maternal wellbeing mediated 11.21% of the TE. Adding perceived child-parent relationship quality to this model increased the proportion mediated to 30.89%. Discussion: Increasing the incomes of young families will improve child mental health. Given the long-term risks associated with childhood mental health difficulties this should be a public health priority.
Enhanced photocatalytic activity of V2O5 /g-C3N4 /ZnO nanocomposite for efficient degradation of Amoxicillin, Chlorpyrifos and Methylene blue
Authors: Vijayalakshmi Pandurangan , Shanmugavelan Poovan , MuthuMareeswaran P.
Published: July 2024

In the present research investigation, a novel nanocomposite viz. V2O5/g-C3N4/ZnO was synthesized using wet impregnation technique. Its photocatalytic degradation performance was assessed against various organic pollutants including the antibiotic Amoxicillin (AMX), the pesticide Chlorpyrifos (CPF), and the dye Methylene Blue (MB), under the effect of visible light in an aqueous medium. The materials synthesised and their photodegradation effectiveness were systematically characterized by a variety of techniques including XRD, HR-SEM, TEM, EDS, XPS, UV-DRS, PL, BET, and EIS. XRD spectra confirmed the existence in the hexagonal phase of g-C3N4, the hexagonal wurtzite structure in ZnO, and the orthorhombic phase in V2O5. The corresponding plane in the V2O5/g-C3N4/ZnO nanocomposite was also identified. The HR-SEM images depicted a composite of nanosheets and nanorods within the nanocomposite. The synthesized photocatalyst revealed an effective visible light absorption with a bandgap of 2.5 eV and displayed remarkable photocatalytic degradation efficiencies of 93.23% for MB, 62.02% for CPF, and 55.36% for AMX when exposed to visible light for 90 minutes. This proved its higher efficiency than that of individual components viz. g-C3N4, ZnO, and V2O5. The hydrogen ions (h+) and superoxide ions (O2•−) were found to be the key reactive species, which are involving in the photodegradation process by radical scavenging tests. Furthermore, the present nano photocatalyst proved its remarkable photocatalytic stability even after three cycles, showing its favorable chemical properties. The findings imply that this reported photocatalyst is highly suitable for efficiently photodegrading the organic pollutants in aqueous environments.
Real-time Facial Recognition Using Multi-Task Learning on a Raspberry Pi
Authors: ABOLUHOM Abdulatif Ahmed Ali , KANDİLLİ İsmet
Published: July 2024

This paper investigates multi-task learning for facial recognition using the Raspberry Pi, a popular single-board computer, to demonstrate how this inexpensive platform can perform deep learning tasks complexity in real time. We used MobileNet, MobileNetV2, and InceptionV3 as base models due to their efficiency and accuracy. The MTL models training were performed on a database built from photos of known individuals and celebrities from the VGGFace2 dataset, divided into three tasks: identifying individuals (9 classes), age estimation (3 groups), and ethnicity prediction (3 groups). Multitask learning enables the simultaneous execution of these tasks using shared layers between deep learning models. The results show a high accuracy rate: MTL InceptionV3 models achieved 93.3% person identification, 95.6% age estimation, and 97.5% ethnicity prediction. The MTL MobileNet model achieved the highest accuracy with 99% person identification, 99.3% age estimation, and 99.5% ethnicity prediction. The MTL MobileNetV2 model achieved 98.3% results in person identification, 97.3% in age estimation, and 99% in ethnicity prediction. These results demonstrate the significant potential of Raspberry Pi-based facial recognition systems in real-world applications such as security systems, personalized customer experiences, and demographic analytics. This study shows that multitask learning on the Raspberry Pi is practical, demonstrating that complex deep learning models can run efficiently even with limited resources. This opens opportunities for innovation, making facial recognition systems more flexible and easier to use. It also enables better resource utilization, thereby reducing computational load and energy consumption in real-time applications.
Widespread distribution of Aedes aegypti larvae, a potential risk of arbovirus transmission in the Grand Lomé health region, Togo, West Africa
Authors: Akagankou Kossivi I. , Ahadji-Dabla Koffi M. , Romero-Alvarez Daniel , Ortega-López Leonardo , Villanueva-Sarmiento Manuel , N’Tsoukpoe Komlan G. J. , Koffi Edoh , Kondo Yovo , Amekudi Adjo A. , Apetogbo Yawo , Lenhart Audrey , Ketoh Guillaume Koffivi
Published: July 2024

Background
Understanding the population dynamics and geographic range of Aedes aegypti is of high importance for arbovirus vector surveillance and control. Little is known about the current distribution and seasonality of Ae. aegypti in Grand Lomé, Togo.
Methods
Mosquito oviposition traps (n = 70) were deployed in houses in the thirteen communes in Grand Lomé health region and examined weekly between May 2022 and April 2023. Generalized linear mixed models (GLMM) were applied to investigate the relationship between larval collections and seasonality. The European Space Agency (ESA) World cover 10m 2020 product was used to represent different land cover classes and determine whether sites with higher larval numbers differed from sites with lower numbers.
Results
A total of 52,768 Ae. aegypti larvae were collected in Grand Lomé. The highest incidence of Ae. aegypti larvae was observed in the commune of Bè-Ouest (= 122.74 per 1,000 population). Agoè-Nyivé was the commune with the lowest incidence over the entire study period. Eight land-use classes were represented by the ESA 10 m product in Grand Lomé. The chi-square test to determine whether larval abundance categories and land cover classes were associated revealed a significant relationship (X2 = 2883.5, df = 14, p < 0.005).
Conclusion
This study provided information on the seasonal distribution of Ae. aegypti larvae in the health region of Grand Lomé. The results of this study could be useful in guiding disease vector surveillance and control efforts.
Photoinduced reduction of aquatic Cr(VI) on CdS/MoS 2 heterostructures
Authors: Ullah Haseeb , Ghazi Rizwana , Gai Shili , AlObaid Abeer A. , Al-Zaqri Nabil , Rehman Ziaur
Published: July 2024

Among the aquatic pollutant remediation reactions, the reduction of oncogenic Cr(VI) to a benign Cr(III) is a reaction of high interest. Among different remediation methods, photocatalysis is considered the best because of efficiency, eco-and environment-friendly nature. So, the development of highly active, visible-light responsive, and noble-metal-free photocatalysts for the elimination of toxic heavy metal ions from wastewater is highly desirable. Herein, a facile two-step method, solvothermal and hydrothermal, was used to synthesise visible-light responsive CdS/MoS2 heterostructures (CM-HSs). Extensive structural characterizations were performed to assess the crystal structure (XRD and XPS), morphology (SEM and BET), and optical (UV-Vis) properties of the as-synthesized photocatalysts (CM-HSs). Aquatic Cr(VI) photoreduction was carried out over these photocatalysts using visible light. The results revealed high photocatalytic activity and photostability of CM-HSs regarding Cr(VI) reduction compared to that of the bare CdS. Among the heterostructures, CM-10 (2 wt % of MoS2) was the most active, reducing 99.04% of Cr(VI) within just 60 min. The enhanced photocatalytic activity for CM-10 was attributed to its high light harvesting capability, efficient separation and transportation of the produced electron-hole pairs due to the intimate contact interfaces and matching band potentials of CdS with MoS2. Based upon literature and experimental evidence, a photocatalytic mechanism for the photoreduction of Cr(VI) is also discussed in detail. The effect of different parameters, like amount of photocatalyst, amount of Cr(VI) and pH, were also evaluated. Like other good catalysts, CM-10 (2 wt % of MoS2) owe good photostability and recyclability.
Multi-fidelity Graph Neural Networks for Efficient Power Flow Analysis under High-Dimensional Demand and Renewable Generation Uncertainty
Authors: Taghizadeh Mehdi , Khayambashi Kamiar , Hasnat Md Abul , Alemazkoor Negin
Published: July 2024

The modernization of power systems faces uncertainties due to fluctuating renewable energy sources, electric vehicle expansion, and demand response initiatives. These uncertainties require consideration in power flow analyses by calculating power flow across a spectrum of generation and load values. Traditional power flow methods, which rely on iterative solutions of non-linear equation sets, become computationally burdensome under these uncertain conditions. Surrogate models have been used to reduces the computational cost of power flow analysis under uncertainty. Recently, graph neural networks (GNNs) have gained increasing attention as surrogates for power system simulations. However, GNNs, similar to other machine learning models, require significant amounts of training data. This paper proposes an innovative approach combining a multi-fidelity methodology with a GNN-based surrogate model for efficient power flow calculations. This model is trained using both high-fidelity power flow simulations and low-fidelity power flow simulations. Our multi-fidelity GNN model not only reduces the cost of generating training data, but also outperforms both single-fidelity GNN models trained solely on high-fidelity data and conventional neural network models. Additionally, the proposed model exhibits robustness to minor topology changes and achieves reasonable performance with unseen topologies. The model’s effectiveness is validated through simulations on standard IEEE systems.
Outlet of the Fan for Overcoming the Suction Limit of Fan Law
Authors: Seul Chul Hwan
Published: July 2024

Ventilation systems are crucial for controlling the indoor air quality in closed spaces and mitigating health hazards. However, for a high suction performance, fan-based ventilation requires considerable energy consumption along with subsequent environmental and financial drawbacks. According to the theory of Dalla Valle, a universal law of physics that applies to fans, it is impossible to draw in more air than the unique output of a fan. However, this study introduces how a fan can suck in more than its unique output. the limitations of the Daercoming lla Valle physics. Our method combines the use of a bladeless fan in series with an axial fan to exploit airflow dynamic properties and increase the output efficiency. Our findings show that the proposed fan configuration provides a new foundation for developing improved ventilation systems to overcome the limitations of fan laws.
Production of plant protein from seeds and cake of industrial hemp: Overview of processing methods for food industry
Authors: Aleksanochkin D. I. , Fomenko I. A. , Alekseeva E. A. , Chernukha I. M. , Mashentseva N. G.
Published: July 2024

Industrial hemp (Cannabis sativa L.) is a multifunctional raw material with a wide spectrum of applications. A huge interest in hemp has arisen in the food industry comparatively recently. Seeds and cake of hemp have the high protein content (20.00-38.70% and 27.90-40.70%, respectively), which makes them a promising raw material for production of concentrates, isolates, and hydrolysates for the food industry. Hemp cake is distinguished by the high content of fiber (17.41-60.38%) and can be used as a prebiotic component of food. In terms of the amino acid content, the amino acid composition of hemp exceeds the corresponding indicators of the reference protein recommended by WHO. The content of lysine is the only indicator, in which hemp protein is inferior to the “ideal” protein. Digestibility of protein of hulled hemp seeds is in a range from 90.8% to 97.5%, which is comparable to digestibility of casein. Digestibility of hemp isolate is 88-91%, which is 21.9% higher than that of soy protein isolate. Peptides and amino acids contained in hydrolysates of hemp protein can show the high biological activity. Hydrolysates attract interest among researchers not only because of their bioactivity but also because of their high digestibility and nutritional value. Targeted proteolysis is a tool that facilitates an improvement in the functional-technological properties of protein. Seeds and cake are a promising raw material for using in food technologies to produce vegetable oil, dietary fiber, protein preparations and functional products. The aim of this paper is to analyze the main methods for industrial hemp processing and promising directions of using protein products from waste of hemp oil production in the food industry.
Using the model of closed-loop economy in certain branches of the agro-industrial complex
Authors: Petrunina I. V. , Gorbunova N. A.
Published: July 2024

From agricultural production to domestic consumption of products, the food industry produces huge amounts of waste every year, which leads to contamination of soil, water and air. Waste created upon processing agricultural raw materials and using axillary materials, such as additives, certain chemical components, fuel and so on, enhances an impact of the food chain on the environment leading to depletion of natural resources. In the last few years, production branches of economy, including the agro-industrial complex, have made attempts to maintain the balance between their impact on the environment, the use of resources, well-being of the population and economic benefits. This trend stimulates the intensive development of the theory of circular (cyclic) economy or closed-loop economy and facilitates a search for methods of its realization in the real economic system. The paper summarizes the main specific features typical of circular economy: strengthened control of supply of limited natural resources and maintenance of the stable balance of renewable resources; optimization of consumption processes by development and use of products, components and materials that correspond to the highest level of their reuse; detection and prevention of negative external effects of current production activities to increase efficiency of the economic and ecological systems. With that, despite the fact that the concept of circular economy was formulated several decades ago, its comprehensive definition is still a subject of discussions. Ambiguity of the existing definitions shows that the concept of closed-loop economy has different meaning for stakeholders. The paper examines several aspects of using elements of closed-loop economy in certain branches of the agro-industrial complex, including the meat industry. A special attention in this work is given to the introduction of modern technologies and equipment for efficient processing of waste from crop husbandry, animal husbandry and meat production to include it into the economic turnover. In addition, ecological problems arising in the course of activities of enterprises of the food and processing industries are examined and the possibilities of solving these problems by introduction of the model of circular economy have been established. Risks and barriers preventing transition of Russia to the model of circular economy have been revealed. The authors propose measures and directions of scientific research aimed at the development and introduction of elements of closed-loop economy in the meat sub-complex, including related branches of the agro-industrial complex.
Justification of membrane filtration parameters in the production of whey protein isolate
Authors: Melnikova E. I. , Stanislavskaya E. B. , Bogdanova E. V. , Shabalova E. D.
Published: July 2024

The research was aimed at studying the combined effect of micro- and ultrafiltration technological parameters for justification of rational modes in the production of whey protein isolate. The process flow of whey protein isolate production was determined. It includes whey purification from casein dust and fat, pasteurization, ultrafiltration, microfiltration, ultrafiltration (combined with diafiltration), spray drying. Concentration was carried out from a dry matter mass fraction of 5.4-5.6% to 11.3-12.6% (protein concentration factor is 6.5-13). Microfiltration of the resulting retentate was used to maximize disposal of milk fat. The process was carried out using ceramic membranes (pore size from 0.14 pm to 1.4 pm). Their protein retention capacity was 0.2-0.4%, fat retention capacity was 64.6-76.2%. Rational microfiltration modes were selected. They are inlet pressure 0.15-0.2 MPa and temperature 10-15 °C. The microfiltration permeate was treated via repeated ultrafiltration combining it with diafiltration. It was possible to achieve the protein content in dry matter of the product not more than 87% using diafiltration with half the volume of water. However, it does not meet the requirements for the isolate. Increasing the amount of water for diafiltration caused a rise in the protein content in dry matter of the concentrate. The protein mass fraction in the whey protein isolate before drying was at least 17%. The whey protein isolate powder was characterized by the high protein content (93% in terms of SNF), quality and safety indicators met the requirements of regulatory documentation.
Food safety knowledge and practices of food handlers at a public Sudanese university
Authors: Idris Y. M.A. , Mariod A. A. , Mohamedin Kh. F. , Alshafi A. S.
Published: July 2024

The study was conducted to evaluate food safety knowledge and practices of food handlers in twenty-four food premises at nine campuses of Sudan University of Science and Technology (SUST), Khartoum State, Sudan. A structured questionnaire about demographic characteristics, food safety knowledge and practices of one hundred and five respondents was used. Data showed that 95.2% of respondents were Sudanese; 99% were males, the majority were singles, 43.8% were university graduates, 64.8% were in the age group 20-30 years, 100% had good knowledge regarding the importance of maintaining a clean environment in food premises, preparing food in a safe way, danger of food poisoning and 95.4% agreed that it is their responsibility to prevent food poisoning. Food handlers had in general satisfactory practices of personal hygiene; however, 64.8 to 69.5% had some poor practices, particularly not wearing clean aprons, masks, gloves and hair nets. Among the respondents 68.6% received basic training in food safety. The study suggests that mandatory food safety education and training should be organized to strengthen food handlers' knowledge, attitudes and practices in food safety areas which are either weak or lacking. The HACCP system should be implemented in food premises at the university campuses.
Delibekirli Havzası’nın Taşkın Tekerrürünün Hesaplanması ve HEC-RAS ile Modellenmesi (Kırıkhan/Hatay)
Authors: Bozdoğan Mahsum , Canpolat Ergin
Published: July 2024

Nüfus artışının kaçınılmaz bir sonucu olarak, yeryüzünde daha fazla alan işgal eden insanoğlunun doğal olaylarla karşılaşma ve bunlardan zarar görme olasılığı artmaktadır. Ortaya çıkan bu zararları en aza indirmek ancak doğru ve etkili planlamalarla mümkün olabilmektedir. Planlamada risk modeli çalışmaları önemli bir parametredir. Modeller, son yıllarda multidisipliner alanlarda yoğun bir şekilde kullanılan Coğrafi Bilgi Sistemleri (CBS) ve Uzaktan Algılama (UA) teknolojileri yardımıyla doğruluğu daha yüksek bir biçimde yapılabilmektedir. Bu çalışmada, İstatistiki ve Deterministik yöntemlerle, Amanos Dağlarının orta kesiminde yer alan ve Kırıkhan şehrinin ortasından geçen, 2014 ile 2015 yıllarında taşkın kayıtları olan Delibekirli Çayı Havzası’nın taşkın risk potansiyeli ortaya çıkarılmıştır. Çeşitli istatistiksel parametreler ve dağılım fonksiyonları kullanılarak havzanın birim hidrograf pik debisi ve 2, 5, 10, 25, 50, 100, 500 ve 1000 yıllık proje taşkın tekerrür debileri hesaplanmıştır. Ortaya çıkan bu değerler kullanılarak, ABD Ordusu Mühendisler Birliği, Hidrolojik Mühendislik Merkezi (USACE-HEC) tarafından geliştirilen Akarsu Analiz Sistemi (HEC-RAS v.6.1) yazılımı kullanılarak kararlı akım şartlarında bir boyutlu (1D) hidrolik model oluşturulmuştur. Delibekirli Deresi’nin oluşturduğu birikinti yelpazesi üzerinde kurulmuş olan Kırıkhan şehrinde yapılaşmaya bağlı olarak kanal enkesitleri daraltılmış ve akarsu yatağına çeşitli müdahaleler yapılmıştır. Yapılan çalışma ve değerlendirmeler sonucunda Kırıkhan’da Delibekirli Deresi’ne bağlı yaşanabilecek taşkınların can ve mal kaybına neden olmaması için akarsu kanalına yönelik çalışmalarda en az 500 yıllık proje taşkın debisi (124,36 m3/s) esas alınarak projelendirilmesi gerektiği sonucu ortaya çıkarılmıştır.
Bir Organize Sanayi Bölgesinde Sera Gazı Envanteri Hazırlanması ve Emisyon Azaltım Projelerinin Belirlenmesi
Authors: Çakmak Arı Merve , Başakçılardan Kabakcı Sibel
Published: July 2024

Bu çalışmada Kütahya 30 Ağustos Organize Sanayi Bölgesinin sınırları içinde tüketilen doğalgaz, elektrik ve motorin nedeniyle oluşan sera gazı emisyonu hesaplanmış ve azaltım faaliyetlerine yönelik çalışmalar yapılmıştır. ISO 14064-1 Sera Gazı Emisyonlarının ve Uzaklaştırmalarının Kuruluş Seviyesinde Hesaplanmasına ve Rapor Edilmesine Dair Kılavuz ve Özellikler Standardı” ve “ISO 14067 Ürün Karbon Ayak İzi Hesaplama Standardı” kapsamında işletmelerin yıl bazında kayıt altında tuttukları veriler kullanılarak atmosfere salınan sera gazları miktarları hesaplanmıştır. Doğalgaz kaynaklı doğrudan emisyon 2019 yılında 105394,84 tCO2e olarak hesaplanmışken 2020’de bu emisyon azalmış, 2021’de tekrar 2019’u yakalamıştır. İthal elektrik kaynaklı dolaylı emisyon ise 2019 yılında 64269,12 tCO2e olurken, 2020 ve 2021’de elektrik kaynaklı emisyon miktarı artmıştır. Motorin kaynaklı doğrudan emisyon, miktar açısından doğalgaz ve elektrik kaynaklı emisyonlardan oldukça düşüktür. Fakat motorin kaynaklı emisyon da 2019 yılında 74,11 tCO2e olurken, 2020’de %75,5 oranında azalmış ve 2021’de 29,49 tCO2e değerine ulaşmıştır. Gerek elektrik gerekse doğalgaz tüketimi nedeniyle oluşan sera gazının büyük bir kısmı karo-seramik imalatı faaliyet alanında çalışan bir kuruluştan ve kâğıt-oluklu mukavva imalatı faaliyet alanında çalışan bir kuruluştan kaynaklanmaktadır. Organize sanayi bölgelerinde farklı faaliyet alanına giren çok sayıda kuruluş bulunur. Yapılan çalışma, bu bölgelerde mutlaka sera gazı emisyonlarının izlenmesi gerektiğini ve hangi kaynak nedeniyle sera gazı emisyonlarının oluştuğunun tespit edilmesi gerektiğini, aksi halde önerilecek azaltım metotlarının çok etkin olamayacağını göstermiştir.
Risco metabólico em crianças e adolescentes com diabetes mellitus tipo 1 e associação com fatores socioeconômicos e estilo de vida no contexto da pandemia COVID-19
Authors: Holanda Lidiana  de Souza , De Noronha Gisele Almeida , De Araújo Jacqueline Rosangela , Diniz Alcides da Silva , Araújo Maria Lúcia Diniz , Da Silva Palena Cabral , De Lemos Maria da Conceição Chaves , Cabral Poliana Coelho
Published: July 2024

O objetivo desse estudo foi avaliar o risco metabólico em crianças e adolescentes com diabetes mellitus tipo 1 e sua associação com fatores socioeconômicos, demográficos e do estilo de vida no contexto da pandemia de Covid-19. Estudo do tipo série de casos, com 98 pacientes ambulatoriais atendidos em 2021. O risco metabólico foi avaliado pelo somatório do escore z das variáveis: Índice de Massa Corporal (IMC), glicemia média estimada (GME), colesterol total (CT), HDL-c, LDL-c e triglicerídeos. A amostra foi composta por 81,4% de adolescentes, com 61,0% apresentando tempo de diagnóstico ≥ 3 anos. A maior parte (68,6%) apresentava renda familiar per capita ˂ 1 salário mínimo, 85,6% apresentaram algum grau de insegurança alimentar (IA) e 70,3% receberam algum tipo de benefício durante a pandemia. Quanto à alimentação, 57,6% relataram mudanças na rotina alimentar, tendo como principais causas o confinamento (38,2%) e as dificuldades financeiras (35,3%). Foi evidenciada associação estatisticamente significante entre o risco metabólico e a condição de IA moderada e grave e aqueles que não referiram a prática de atividade física. Por outro lado, não foi encontrada nenhuma correlação entre o risco metabólico e variáveis sociodemográficas, antropométricas, laboratoriais e do estilo de vida, quando ajustadas por estadiamento puberal e condição de IA. Conclui-se que de todas as variáveis avaliadas, a IA e a não prática de atividade física mostraram-se associadas ao risco metabólico nesses pacientes.
Prevalência e variáveis associadas ao uso de medicamentos potencialmente inapropriados para pessoas idosas institucionalizadas
Authors: Da Silva Lenise Moreira , Koeche Cristiane , De Carvalho Luiz Sérgio , Roriz Anna Karla Carneiro , Ramos Lilian , de Oliveira Maria Liz Cunha , Da Silva Henrique Salmazo
Published: July 2024

O objetivo deste estudo foi verificar a prevalência e os fatores associados ao uso de Medicamentos Potencialmente Inapropriados (MPI) em pessoas idosas institucionalizadas. Trata-se de um estudo transversal realizado com 86 pessoas idosas residentes em Instituições de Longa Permanência em Brasília/DF e na cidade de Salvador/BA. Os dados de saúde e dos medicamentos foram avaliados por meio de análises descritivas e inferenciais (valor de p < 0,05). Da amostra, 76,7% dos idosos utilizavam pelo menos um MPI e 91,8% apresentavam uma ou mais doenças, sendo a hipertensão arterial a doença mais comum. Os MPI mais prescritos foram os psicolépticos, com frequência de uso de 28,0 e os medicamentos que devem ser usados com cautela mais prescritos foram os psicoanalépticos (34,8%) e psicoléticos (28,1%).  No que tange fatores associados, houve associação estatisticamente significante entre declínio cognitivo e uso de medicamentos que devem ser usados com cautela (OR=2,98; p=0,024) e entre o número de doenças crônicas e uso de medicamentos potencialmente inapropriados em idosos (OR=2,95; p=0,024).  Concluiu–se que a alta prevalência do uso de MPI por pessoas idosas institucionalizadas indica a necessidade de remodelação dos tratamentos medicamentos, bem como a melhoria da assistência médica nas instituições de longa permanência brasileiras. O alto uso de medicamentos psicotrópicos destaca o tratamento de demências e transtornos mentais como um dos principais desafios da assistência nesses serviços.
Chemical Composition and Larvicidal Activity of Essential Oil Extracted from Anemia tomentosa (SAV.) Sw: Study Conducted in vitro and in silico
Authors: de Jesus Vilisaimon , Leite Juliana , Sousa Jailan , Barbosa Fabricio , de Oliveira Djalma , Barreto Rubens , Soares Wagner , Andrade Bruno , Gualberto Simone , da Silva Débora , Guimarães Isabelly , Silva Luiza , Aguiar Rosane
Published: July 2024

The essential oil extracted from Anemia tomentosa (EOAT) has shown larvicidal potential against Aedes aegypti, based on methods in vitro and in silico. Chromatographic and spectrometric techniques (gas chromatography-mass spectrometry (CG-MS), gas chromatography-flame ionization detector (GC-FID)), as well as mono and bidimensional nuclear magnetic resonance spectroscopy (NMR) were used to assess 10 essential oil components. Chemical composition of essential oil comprised 87.51% sesquiterpenes, with emphasis on presilphiperfolan-1-ol (42.13%) and silphiperfol-5-ene (19.47%). Larvicidal assay conducted in vitro with EOAT has evidenced potential cytotoxic activity up to 48 h exposure to it; mortality rate observed for A. aegypti larvae exposed to essential oil reached 100%. Study conducted in silico with chemical compounds deriving from the herein investigated plant species has evidenced its potential to inhibit acetylcholinesterase in A. aegypti. Activity of triquinane sesquiterpenes ranging from -6.8 to -8.2 kcal mol-1 stood out in comparison to that of temephos (-7.5 kcal mol-1). Chemical compounds identified in the investigated essential oil presented low human and environmental toxicity, as observed in absorption, distribution, metabolism and excretion, and toxicity (ADMETox) predictions.
Cation interception and permeability characteristics of bentonite barriers exposed to NaCl and NH4Cl solutions
Authors: Sun Wen-jing , Tang Qian-tong , Fan Ri-dong , Yang Ai-wu , Tan Yun-zi , Leung A. K.
Published: July 2024

High concentrations of Na+ and NH4+ in landfill leachate lead to deterioration of bentonite barrier and pose a threat to the environment. This study focused on the pollution interception and permeability characteristics of the bentonite barrier exposed to NaCl and NH4Cl solutions. Based on previous findings, salt solution concentrations were established at 74.80, 37.40, 18.70, and 9.4 mmol/L. The bentonite contents in the mixture were set at 0, 5, 10, and 15%. The results indicate that the samples exhibit better interception of NH4+ compared to Na+. This difference arises from the cation exchange sequence, the size of the hydration radius, and the hydrogen bonding of the two cations. Additionally, the difference in hydration enthalpy between the two cations leads to variations in the swelling of bentonite, resulting in a higher hydraulic conductivity coefficient in NH4Cl solution. This study shows that although bentonite barriers have better interception for NH4+, they exhibit greater hydraulic conductivity in NH4Cl solution, increasing the risk of leachate carrying other contaminants.
Needs of the «digital» generation: reverse learning technology
Authors: Zhusup kyzy Nurzirek
Published: July 2024

The article examines current approaches and methods of reverse learning in the digitalization of education as an inevitable process for the system of higher professional education. Reverse learning assumes that, using the capabilities of information and communication technologies in the educational process, it is possible to combine traditional and distance learning without reducing academic hours. Thus, by transferring some of the material into the digital environment, during classroom lessons more attention is paid to the formation and development of practical skills in all types of activities in a foreign language.
The Estimation of Withdrawing and Withdrawn Foreign Companies Contribution in Industries and Regions of Russia
Authors: Bobrovskiy R. O.
Published: July 2024

Despite the current relevance of foreign companies’ withdrawal from Russia, there are no significant scientific works on this topic. Some researchers have attempted to assess the scope of foreign companies’ withdrawal from Russia. But similar works on a regional level are almost absent. The article attempts to estimate the shares of foreign companies that announced their withdrawal, suspension of activities, reduction of operations, suspension of investments, as well as those that objectively withdraw and reduced the activities in industries and regions of Russia. Analysis showed that foreign companies that announced their withdrawal accounted for 0.8% of the employees and 2.3% of the revenue of all organizations in the Russian economy, while foreign companies that objectively withdraw accounted for 0.6% and 1.8%. Among the industries, the automotive industry is the most affected. Among the regions, the largest diversified (city of Moscow, Moscow region, city of St. Petersburg), industrial diversified (Republic of Tatarstan, Tula region), automotive (Kaluga, Leningrad and Samara regions), timber processing (Republics of Komi and Karelia, Novgorod region), Sakhalin region are more affected. The most critical situation in terms of risks for the labor market and regional economies is developing in the automotive and timber processing regions.
Agricultural Vertical Cooperatives: the State and Directions of State Support
Authors: Petrikov A. V.
Published: July 2024

Agricultural vertical cooperatives created by small agricultural producers play an essential role in the market integration of small farms, ensuring employment and income of the rural population, and the stability of the agro-food market. The study of the problems of rural cooperation belongs to the relevant areas of economic research in the agro-industrial complex. The article analyzes the level and trends in the development of agricultural vertical cooperatives in Russia, including the dynamics of the number of certain types of cooperatives in 2019-2024, the social composition and equipment of fixed assets of cooperatives, their role in the production of a number of food resources. The conclusion is made about the slow development of cooperation and the significant differentiation of the cooperative movement across the subjects of the Russian Federation. The main reasons for the current situation and directions for improving cooperative policy in rural areas are considered.
The materiality of typescripts in Pedro Homem de Mello’s writing practice
Authors: Pereira Elsa
Published: July 2024

This article addresses the main typewriting habits of Portuguese poet Pedro Homem de Mello (1904–1984), as evidenced in documents belonging to the family’s private estate and scattered collections owned by public archives and libraries. After examining his work in several spheres of activity (his personal and professional correspondence, his newspaper collaborations and essays as a folklorist, and his work as an author and presenter of TV and radio programs), the essay focuses on material aspects of Homem de Mello’s literary typescripts, such as page management strategies, the use of coloured ribbons, the occurrence of mechanical errors, or the combination of handwritten corrections and carbon-paper duplicators as a favoured revision technique. It concludes by interrogating how the author’s multimodal typewriting ecosystem may have contributed to stylistic changes in his poetry, catalysing freer modes of expression in the traditional forms of his choice.
Whitman's Democratic Citizen
Authors: Pereira Jorge
Published: July 2024

In 1858 a series of essays titled Manly Health and Training made their appearance in the New York Atlas, written by Walt Whitman under the penname of Mose Velsor. The professed goal was to discuss suggestions and ideas to improve the general physical condition of its readers. Whitman regarded this as a necessary condition to match America’s democratic character. Indeed, from reading his guide we can see how for him the health of the body politic is dependent on the health and physical vigour of its citizens. In typical Whitman fashion, the essays address a multitude of topics other than the usual issues expected of a fitness manual. Besides the customary issues of diet and exercise, he also talks politics, morality, the weather, longevity, Greek athleticism, hygiene habits. This article will focus on Whitman’s thoughts about the physical standards he believed the American people ought to meet to sustain American democracy, link this with Whitman’s view of Ulysses Grant as an example of the ‘ideal’ American citizen and also venture why he was so understanding towards the latter during his troubled presidency.
Miedo e incertidumbre en las principales acciones del S&P500
Authors: Mariné-Osorio Fernando José , González-Núñez José Carlos
Published: July 2024

Esta investigación analiza las relaciones existentes entre los rendimientos de las acciones del S&P500 e indicadores de conducta financiera como lo son el Volatility Index (VIX) y el Black Swan Index (SKEW). El método utilizado es el de Ecuaciones Estructurales y Mínimos Cuadrados Parciales (PLS-SEM). Los resultados muestran que el VIX explica más que el SKEW y que los sectores más sensibles al miedo son el Electrónico-Tecnológico, Energético y Salud. Como recomendación se prioriza el uso del VIX por encima del SKEW ya que este tan solo fue estadísticamente significativo en el constructo Electrónico-Tecnológico, al utilizar esta metodología, así también, se limita el análisis sobre un conjunto de 23 compañías, 8 constructos sectoriales y un periodo temporal desde el año 2013 a abril 2022. La originalidad del presente se encuentra en el uso del PLS-SEM para el análisis financiero conductual y la formación de constructos accionarios. Esta metodología permite modelar bajo una óptica exploratoria otro tipo de relaciones y de variables, así como solucionar supuestos estadísticos problemáticos en las finanzas.
Ultrafiltration membranes for dye wastewater treatment: Utilizing cellulose acetate and microcrystalline cellulose fillers from Ceiba Pentandra
Authors: Abdullah Romario , Astira Dinia , Zulfiani Utari , Rahmad Widyanto Alvin , Rahmawati Zeni , Gunawan Triyanda , Kusumawati Yuly , Hafiz Dzarfan Othman Mohd , Fansuri Hamzah
Published: July 2024

Dye hurts the threat of human health problems and environmental pollution. Microcrystalline cellulose (MCC) based membrane is a good material to be used as an dye separation membrane for having the high hydrophilicity of the membrane. It has been successfully isolated from kapok (ceiba pentandra) with characteristic X-ray diffraction patterns and FTIR absorption peaks, which corresponded to the typical peaks of cellulose. The ultrafiltration membrane was made up of a cellulose acetate matrix created using the phase inversion method. Characterization results indicated that the inclusion of MCC derived from kapok led to a reduction in the contact angle from 65 to 52o, and an increase in membrane porosity from 82 to 85%. In the separation of dye, the composite membrane incorporating MCC filler demonstrated superior performance compared to the membrane lacking MCC, manifesting in an elevated water flux from 43 to 84 L/m².h and methylene blue (MB) rejection from 64 to 99%. The use of MCC as a filler in cellulose acetate membranes can enhance the characteristics and performance of the membrane in MB separation.
Preparation, synthesis and characterizations of La0.7Sr0.3Mn(1-y)Ni(y)O3 alloy
Authors: Setiawan Jan , Susetyo Ferry Budhi , Nanto Dwi , Simbolon Silviana , Notonegoro Hamdan Akbar , Al Farizi Taufiq , Yunasfi  , Tihera Dinda , Ramlan
Published: July 2024

Nickel (Ni) doped in the perovskite manganite could result in superior properties. The effect of the Ni on the morphology, crystallographic orientation, and magnetic properties of La0.7Sr0.3Mn(1-y)Ni(y)O3 alloy (y = 0.1, 0.3, 0.5, and 0.7), therefore, was undertaken. La0.7Sr0.3Mn(1-y)Ni(y)O3 alloy was firstly processed using a ball milling process, and again processed through heat treatment and crushing at the end of the synthesis process. Powder alloy was then investigated using a scanning electron microscope equipped with scanning electron microscope and energy dispersive spectroscopy (SEM-EDS), x-ray diffraction (XRD), and vibrating sample magnetometer (VSM). The particle size became smaller and agglomerated as the amount of Ni doping increased. The polycrystal structure phase formed would become more complex when the Ni doping was 0.5 and 0.7, where the dominant phase formed was La2NiO4 even though the La0.7Sr0.3Mn(1-y)Ni(y)O3 phase was still formed. The magnetic characteristics showed that the Ni doping of 0.1 had a higher magnetization value around 4.2 emu/g at room temperature.
QS-Trust: An IoT ecosystem security model incorporating quality of service and social factors for trust assessment
Authors: Najib Warsun , Sulistyo Selo , Widyawan
Published: July 2024

In the rapidly growing and increasingly complex Internet of Things (IoT) ecosystem, securing communication and data exchanges between devices is a major concern. To address this, we proposed QS-Trust, a trust-based security model considering both Quality of Service (QoS) and social parameters. QS-Trust uses a trust value to determine the trust level between devices and employs a QoS-aware trust-based algorithm to improve the security of data transmissions. Additionally, the model incorporates intelligence parameters such as computing power, memory capacity, device behavior and context information to enhance the accuracy of trust evaluation. Our simulation results demonstrated that QS-Trust effectively improved the security of the IoT ecosystem while maintaining the high level of QoS. The execution time of QS-Trust was in the range of 21 to 128 milliseconds, which is efficient for real-time IoT applications. QS-Trust offers a promising solution for securing the IoT ecosystem. The QS-Trust model effectively addresses the challenges of maintaining accurate and up-to-date trust levels in dynamic IoT environments through its decentralized approach, multi-factor evaluations, and adaptive algorithms. By continuously monitoring device performance and interactions and dynamically adjusting trust scores, QS-Trust ensures that the IoT network remains secure and reliable.
Synthesis of silver (Ag) nano/micro-particles via green process using Andrographis paniculata leaf extract as a bio-reducing agent
Authors: Chafidz Achmad , Rusdi Suharno , Nurrahman Imam , Haryanto  , Kalista Wibowo Agam Duma , Kusmayadi Adi , Hartanto Danang Tri
Published: July 2024

In this work silver nano/micro-particles have been synthesized using sambiloto (Andrographis paniculata) plant extract as a bio-reducing agent. The effects of different plant extract concentrations, AgNO3 precursor concentrations, and reaction time on the synthesized silver nano/micro-particles were investigated. The silver nano/micro-particles samples were then analyzed using UV-Vis spectrophotometer (UV-Vis), X-Ray Diffractometer (XRD), Field Emission Scanning Electron Microscopy (FESEM), Particle Size Analyzer (PSA), and Fourier Transform Infra-Red (FTIR) spectroscopy. The UV-Vis absorbance spectrum of the colloid silver nano/micro-particles exhibited that all samples had absorbance peaks at a wavelength around 450 nm, confirming the formation of silver nano/micro-particles. It was also found that the UV-Vis absorbance peak of the silver nano/micro-particles inversely increased with decreasing AgNO3 solution concentration.  Whereas, the higher the sambiloto extract concentration the higher the UV-Vis absorbance peaks. The UV-Vis absorbance peak increased with increasing synthesis time, suggesting that silver nano/micro-particles became more prominent. The UV-Vis absorbance peaks of the silver nano/micro-particles were about 0.0462, 0.0637, 0.0729, and 0.0936 at reaction time of 5, 10, 20, and 40 min, respectively. The XRD analysis result confirmed that the synthesized silver nano/micro-particles were in the form of nanocrystals with a face-centered cubic centered without any impurities. Additionally, the FESEM images showed that the silver nano/micro-particles had the primary particle size of 150-300 nm. There was the formation of some secondary particles with the size of about 0.7-1.5?m due to the agglomeration of primary particles. The particle size distribution analysis further confirmed the presence of primary and secondary particles. Meanwhile, the FTIR analysis confirmed the presence of four main peaks, linked to functional groups in the sambiloto extract and involved in the creation of silver nano/micro-particles.
Efecto de la temperatura de almacenamiento y el tipo de sustrato en la sobrevivencia de Lactobacillus acidophilus encapsulado
Authors: Santacruz Terán Stalin Gustavo
Published: July 2024

Las bacterias lácticas (BAL) son de amplio uso en fermentaciones de la industria alimenticia y en ensilajes para alimentación animal. Sin embargo, la supervivencia de los microorganismos en los alimentos y en ensilajes se ve afectada por factores ambientales como la temperatura. Por consiguiente, la exploración de tecnologías de encapsulación permitiría preservar la integridad de los microorganismos encapsulados al protegerlos de las condiciones adversas del entorno. En el presente trabajo se examinó el efecto de tres temperaturas de almacenamiento: ambiente (25 °C), refrigeración (4 °C) y congelación (-18 °C), en presencia de tres sustratos: glucosa, suero de leche o agua destilada en la supervivencia de Lactobacillus acidophilus encapsulado en alginato a través del conteo de las UFC. Los resultados mostraron que L. acidophilus encapsulado y almacenado a 4 °C presentó valores de UFC entre 0,61 y 0,99 durante 80 días, siendo estos los más altos, mientras que la temperatura ambiente presentó los menores números de UFC, con valores entre 0,312 y 0,93, siendo estos los más bajos entre las tres temperaturas analizadas. L. acidophilus encapsulado en presencia de suero de leche y glucosa mostró mayor número de UFC, con valores entre 0,53 y 1, a lo largo del tiempo de almacenamiento, en comparación con aquellos en presencia de agua destilada, cuyos valores estuvieron entre 0,3 y 0,99. La glucosa y el suero son los medios adecuados para el cultivo de L. acidophilus encapsulado a temperaturas ambiente, de refrigeración y de congelación durante 90 días de almacenamiento. Independiente del medio de cultivo, la temperatura de congelación es la adecuada para el almacenamiento de L. acidophilus durante largos períodos.