bluuebunny/crossref_metadata_2025_split huggingface dataset:
Educación Alimentaria a Padres o Cuidadores de Infantes, en Dos Centros de Salud, Milagro-Ecuador
Authors: Armijo Valverde Kevin Gabriel , Sánchez Mata Marlene Elizabeth , Domínguez Brito Lorena Daniela , Villafuerte Llantuy Karla Estefanía 
Published: June 2024

Las acciones de promoción sobre lactancia materna y alimentación complementaria de manera oportuna, fortalece el conocimiento y la importancia de mantener una nutrición adecuada que potencia el desarrollo y crecimiento de los niños/as. El objetivo del estudio es identificar el conocimiento de padres de familia o cuidadores de niños/as menores de 24 meses sobre lactancia materna y alimentación complementaria, mediante cuestionarios de pre y pos-intervención para el fortalecimiento de la educación alimentaria. La investigación tiene un enfoque cuantitativo, descriptivo, transversal y observacional, la muestra es de 139 participantes y se aplicó cuestionarios antes y después de la intervención en los centros de salud de Las Piñas y Los Pinos del Cantón Milagro. Se determinó que la población de estudio está conformada por 64 niños y 75 niñas, el conocimiento que tienen los padres o cuidadores sobre lactancia materna en la pre intervención corresponde a una media de 55,8% y en la pos-intervención 90,5%. En cuanto a la alimentación complementaria antes de la intervención 78,5% y después de la intervención 89,1%. La orientación apropiada a los padres de familia o cuidadores de los niños/as sobre lactancia materna y alimentación complementaria, promueve una buena nutrición y desarrollo óptimo en la primera infancia.
Synthesis and biological activity evaluation of new isatin-gallate hybrids as antioxidant and anticancer agents (in vitro) and in silico study as anticancer agents and coronavirus inhibitors
Authors: Al-Mudhafar May Mohammed Jawad , Wadi Jaafar Suhail 
Published: June 2024

Background: The hybrid compounds hold promise for developing novel pharmaceuticals, potentially exhibiting greater activity, mainly against viruses and cancer diseases, than their components.
Objective: In this study, researchers explored the potential synergistic effects of hybrid molecules by designing and synthesizing a series of isatin-gallate hybrids, denoted as N’-(5-substituted-2-oxoindolin-3-ylidene)-3,4,5-trihydroxybenzohydrazide (3a–d).
Methods: Isatin-gallate hybrids (3a–d) were synthesized by reacting gallic hydrazide with each of the isatin analogs (2a–d). The structures of all produced compounds were described using spectrum methods such as fourier transform infrared (FTIR), 1H-nuclear magnetic resonance spectroscopy (1H-NMR), and physicochemical attributes. The evaluation of the tested hybrids (3a–d) involved assessing their in vitro antioxidant activities using the α, α-diphenyl-β-picrylhydrazyl (DPPH) free radical scavenging method and cytotoxic activities through the MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] colorimetric assay for measuring cellular growth. Furthermore, in silico analysis was applied to the final hybrids to evaluate their effects as anticancer and anti-coronavirus agents.
Conclusion: Among the examined hybrid compounds, 3b demonstrated substantial in vitro antioxidant and cytotoxic activities. In silico analysis revealed slight variations in the anticancer activity of compounds 3a–d, with differing affinities observed across various cancer cell lines. Additionally, these compounds exhibited moderate efficacy in inhibiting coronavirus activity.
Lavender essential oils–hidden relationships between the samples of origin
Authors: Kozuharova Ekaterina , Simeonov Vasil , Stoycheva Christina , Benbassat Niko , Batovska Daniela 
Published: June 2024

Lavender essential oil is an economically important ingredient in perfumery, the food industry, and pharmacy. There is notable diversity in the composition of lavender essential oils. The reasons are the high genetic diversity of lavender cultivars and the variety of ecological specifics in the regions of cultivation. The aim of this research is to check which lavender essential oil variety is best regarding the content of the most important components through comparative statistical tests. We created a data set of 88 lavender essential oil samples from 16 countries. The multivariate statistics (hierarchical and non-hierarchical clustering) and factor analysis reveal hidden relationships between the objects of the study (samples) or between the variables characterizing the objects (chemical descriptors–16 components). The results are discussed in detail. All samples from Bulgaria, together with a few of the Italian, French, Greek, Indian, and Chinese samples, fall into one cluster with the standard maximums.
Graphical abstract:
Therapeutic Approaches to Immunotherapy Induced Chronic Inflammatory Diseases
Authors: Adebanjo Emmanuel Adebola , Bakare Kafayat Motomori , Matthew Ugochukwu Okwudili , Fatai Lateef Olawale , Precious Anyigbo Ujunwa 
Published: June 2024

The development of immunotherapy vaccines hinges on the identification of suitable biomarkers and the optimization of treatment combinations to enhance their efficacy in patients. Over the past few decades, research on immunotherapy vaccines has advanced, leading to the availability of numerous defined vaccinations. Still unsolved are a few issues, such as appropriate tumor antigen, adjuvant components for chronic inflammatory diseases, appropriate delivery mechanisms, and efficient strategies to fend off immunological attacks. The term chronic inflammatory diseases (CID) refers to a group of illnesses in which the immune system is unable to control typical acute inflammation, resulting in an ongoing, unresolved state of inflammation. Conditions including psoriasis, inflammatory bowel disease, and rheumatoid arthritis affect a considerable number of people globally, making the CID a substantial burden on global healthcare systems. Conventional therapies frequently relieve symptoms, but they may also have serious adverse effects and be ineffective. By focusing on the dysregulated immune responses that underlie chronic inflammatory illnesses, immunotherapy has become a viable treatment option. With a focus on important therapeutic approaches, mechanisms of action, clinical efficacy, and safety profiles, this research paper offers an extensive assessment of immunotherapy-induced treatments for chronic inflammatory illnesses. Furthermore, the paper addresses the present CID conundrums and potential paths forward in the creation and enhancement of immunotherapeutic treatments for the crippling ailments.
Device to Device Communication Using Optimized Frequency Spectrum Reuse (OFSR) in Multi-Layered Cellular Network
Authors: Matthew Ugochukwu Okwudili , Aderinola Musefiu , Shuaibu Isiaka , Kazaure Jazuli S. , Ohabuiro John , Daniel Ogobuchi Okey , Nwamouh Ubochi C. 
Published: June 2024

In a cellular network, Device to Device (D2D) communication faces a number of difficulties, including interference and slow upward and downward linking between device connectivity with base stations. Utilizing optimum frequency spectrum reuse (OFSR), these two issues can be overcome. In order to prevent D2D communication devices on the Evolved Node B (eNB) and cellular user transmitters from interfering with D2D receiver, OFSR is a mechanism where the user reuses the frequency of another cell. The study looks at the problem of spectrum sharing between D2D and cellular communications in a cellular network. Under this network spectrum rationalization, D2D links may access the spectrum that a mobile network operator manages. Each D2D link has the choice of acquiring a sub-band for exclusive usage or gaining access to the sub- bands used by cellular users. Spectrum can also be shared by D2D lines that only use a particular sub-band. One to one hundred (1-100), one to two hundred (1-200), one to three hundred (1-300), and one to four hundred (1-400) users each made up a group (1-400). The system equations were used to represent the network information, such as link gains, noise levels, signal-to-interference- and-noise ratios, and the devices' selected communication mode. Simulations that incorporate D2D communication as an additional communication channel are utilized to demonstrate performance bounds for the cellular system based on the derived equations. When compared to resource allocation technique, the simulation result demonstrates that OFSR has less interference. As can be observed from the simulation results, the throughput in the down link is higher than the throughput in the uplink.
Green Building Strategies and Material Selection for Hot-Dry Climatic Conditions of North-Western Nigeria: A Delphi Approach
Authors: Yakub A.A. , Ahmad Abubakar , Salawu AbdulFatai Oyebode , Gimba Shuaibu Danladi , Jolaoye Abdulhakim Adelayo , Zaidu Zaidu Musa 
Published: June 2024

Generally, buildings provide society with countless benefits, however, they also have major negative impacts on the environment. Hence, Green Buildings (GB) have been proposed to solve this issue as they adopt fewer harmful materials and enable the use of local materials to adapt to climate conditions while consuming natural renewable resources with an emphasis on environmental sustainability. However, there is the dearth of researches that focus on the types of GB materials that could be adopted in the Nigerian construction industry. Hence, this research aim at finding out available materials and strategies that can be adopted towards attaining a GB status within the hot-dry areas in the north-western part of Nigeria. A total of 25 experts were drawn across three professional bodies including the Nigerian Institution of Estate Surveyors and Valuers (NIESV), Nigerian Institute of Architects (NIA) and Nigerian Institute of Building (NIOB). Using a 5 point Likert scale ranking, the study explores 33 materials cum strategies for hot-dry climatic conditions. Delphi method was adopted to find out available materials and strategies that can be adopted towards attaining a GB status within the study area. Consensus was reached at the 4th round of the survey where 19 number materials were agreed upon as easily available and suitable for the region. These include straw bales using cane straw, wheat stalks, maize husks, cottonseed husks, tamarin hull particles, adobe bricks, ash waste bricks, autoclaved aerated concrete, onion peels, groundnut shells, sunflower stalk, cork and fired clay for walling and insulation. Jalis and wind-catchers for ventilation; grass Crete and timber Crete for outdoor flooring and living roof and clay roof tiles as roofing materials. Hence, this study recommends the adoption of these materials to reduce heat-related impacts on the environment caused by buildings.
Effect of Environmental Dust on the Performance of Photovoltaic Panels in Northern Nigeria
Authors: Kazaure Jazuli S. , Ibrahim Jafaru , Mohammed Abba 
Published: June 2024

Effect of dust from outdoor environment on the performance of solar photovoltaic panels is natural. There were studies that showed that environmental dust reduces the performance of solar panels, but the results were not clearly quantified. The aim of this study is to determine the extent to which environmental dust affects the performance of solar PV panel in North Western region of Nigeria. The study was carried out in Kazaure Town located 12°39N and 8°24E between November 2015 to February 2016. In this work, electrical performances of photo-voltaic panel were studied experimentally for the effect of environmental dust particles. The experimental data are used for the calculation of the energy efficiency and power output of the PV systems. It was found from the study that the environmental dust reduces the efficiency of solar PV panel by up to 48% and output power byup to 30%.
Advances and Challenges in IoT Sensors Data Handling and Processing in Environmental Monitoring Networks
Authors: Sathyamoorthy Sruthi , Matthew Ugochukwu Okwudili , Adekunle Temitope Samson , Okafor Nwamaka U. 
Published: June 2024

Advances in IoT technologies provide new epoch in ecological sensing, leading to the deployment of millions of sensor devices to sense and monitor the environment. IoT sensors have the capacity to provide high spatial and temporal resolution data to supplement traditional data-gathering methods, thereby filling the gaps that exist within current environmental data-gathering methods. Applications of IoT sensors in environmental monitoring are broad ranging from monitoring air quality, to monitoring biodiverse regions including forests and peatlands to protecting endangered species. The use of IoT sensor devices in environmental monitoring, however, has raised several questions, especially pertaining to the quality of sensor data, reliability, accuracy, and in-field performance. IoT sensors are prone to failures and errors especially when deployed for medium to longer-term. A common question within the IoT research domain is how to handle IoT sensor data, especially in terms of processing, fusion with other data sources and analysis to glean useful insights from the data in support of effective decision-making. Several authors have proposed different data handling methods for IoT sensor data and proposed techniques have led to improvement in overall data quality and field performance. Methods for addressing IoT sensor data analysis integration with emerging technologies, such as cloud computing, fog computing, and edge computing along with methods to make Data storage choices have also been proposed. This paper surveys the various methods for handling and processing IoT sensor data in environmental monitoring networks, the prospects, challenges, and limitations of these methods are examined.
Enhancing Precision Irrigation with IoT-enabled Water Management Mobile App
Authors: Uchenna Udeani Henrietta , Ogobuchi Okey Daniel , Umoren Udo Ekikere , Chineme Ndukwe Ihuoma , Matthew Ugochukwu Okwudili 
Published: June 2024

The increasing demand for food supply and efficient water use requires intelligent methods that can ensure a consistent water supply for crop production, even during arid seasons. Precision irrigation can be valuable in ensuring efficient water management, subsequently leads to continuous water availability for crop production. This paper presents a model of an Internet of Things (IoT) device that uses precision technologies to improve water utilization. The developed system consists of hardware and software components integrated with a mobile app that allows remote monitoring of soil water levels to determine when irrigation is required. The key components of this system include the ESP8266 Arduino microcontroller board, soil moisture and temperature sensors, a DC mini water pump, and a relay module. The sensors continuously measure soil moisture and temperature, and the data is transmitted to the ESP8266 microcontroller for real-time processing, enabling precise and data-driven crop management. The ESP8266 microcontroller ensures seamless communication between the sensors and the user interface. Through a highly ergonomic mobile app, users can access real- time data on soil moisture and temperature, providing valuable insights into environmental conditions. The DC mini water pump adjusts based on soil conditions, optimizing water use to maintain ideal moisture levels for healthy plant growth. Ultimately, the data obtained is used to train a machine learning algorithm that enhances the decision process for the irrigation system, with an accuracy of 98.08%.
The Effects of Financial Inclusion on Financial Performance of Financial Institutions in Cameroon
Authors: Serge Tameta 
Published: June 2024

Purpose: This study seeks to investigate the effects of financial inclusion on the performance of financial institutions in Cameroon. Specifically, the study sought to examine the effects of access, availability and usage of banking services on the financial performance of financial institutions in Cameroon.
Methodology: A cross-sectional research design was applied with the use of purposive and convenience sampling methods. 210 respondents from 75 financial institutions in Cameroon were selected. Primary data was collected using a self-administered questionnaire. Data collected was sorted, coded and analyzed using the Statistical Package for Social Sciences (SPSS v22.0). Data collected was analysed descriptively with the use of mean and inferentially with the use of ordered logit regression model and Pearson correlation metrix to establish the relationship between the dependent variable and the independent variables and the results were presented in tables.
Findings: The results indicate that access to banking services, availability of banking services and usage of banking services positively influenced financial performance of financial institutions as measured by return on assets. Access to banking services and usage of banking services were identified as crucial factors in driving financial performance since they significantly influenced financial performance.
Contribution to Theory, Policy and Practice: The study therefore recommended that officials in Cameroon should prioritize financial inclusion by means of passing laws that encourages lending practices by financial institutions. Also bank management should focus strategies to augment their financial performance by improve access and usage of banking products.
Study of Peliosanthes micrantha medicinal plant: UHPLC‐Q‐TOF‐MS analysis of phytochemicals and antioxidant activity
Authors: Thuy Do Ngoc , Huong Nguyen Thi , Trung Phung Van , Hung Le Ngoc , Chuong Nguyen Dang Toan 
Published: June 2024

Purpose: The medicinal herb Peliosanthes micrantha Aver. & N. Tanaka has been used in traditional Vietnamese medicine to treat various diseases such as diuretic, hemorrhoids, jaundice, asthma, diarrhea, blennorrhagia and for its fatigue, detoxification and male wellness effects. Till now, we have not found any research of this herbal plant. This study explores the first chemical information and antioxidant activity of the species.
Methodology: Three procedures were applied to extract P. micrantha rhizomes: 1) extraction by ethanol, 2) then sequentially by water, and 3) extraction by water. UHPLC-Q-TOF spectroscopy was used to study three extracts. Antioxidant activity was measured by DPPH assay.
Findings: In alcoholic extract, UHPLC-Q-TOF-MS tentatively identified three known compounds undescribed in the Peliosanthes species, namely pumilaside A, pumilaside C, and β–sitosterol together with one known compound of glycoside J-3, previously isolated in the Peliosanthes sinica. Not any identified compounds was found in water extracts. All three extracts of P. micrantha rhizomes showed mild DPPH antioxidant activity.
Unique contribution to theory, practice and policy: The experimental findings contribute to the chemical literature of Vietnamese natural flora. Peliosanthes micrantha should be further studied for pharmaceutical activities.
Effect of Paeoniflorin on neurons autophagy and Notch expression of tether cord spinal in rats
Authors: Feng Qingqi , Li Jian , Zhang Wenwen , Yu Chaochun 
Published: June 2024

IntroductionThe study aimed to investigate the role of paeoniflorin in regulating neuronal autophagy and explore its ameliorative effects on the NOTCH signaling pathway in rat spinal cord tethering syndrome (TCS).Material and methodsWe conducted an experiment using 60 healthy male SD rats, randomly divided into six groups: Sham+Vehicle (saline) group; Sham+ Paeoniflorin (PF) 25mg/kg group; TCS+Vehicle group; TCS+PF25mg/kg group; TCS+PF50mg/kg group; TCS+PF100mg/kg group. We assessed neurological recovery by measuring Tarlov scores and Basso Beattie Bresnahan (BBB) scores at 1, 3, 7, 11, and 14 days after injecting PF. Additionally, we evaluated autophagic pathways, including LC3, Beclin1, and Notch protein expressions in rat spinal cord cells for each group.ResultsLower limb neurological scores decreased after surgery on the first postoperative day. As the PF concentration increased, the recovery of Tarlov and BBB scores in rats accelerated. The comparison between PF treatment groups with different concentrations revealed a concentration-dependent effect. In the treated group, LC3 and Beclin1 protein expressions gradually decreased with increasing PF dose. Notch protein expression around spinal cord tissue significantly increased in the treated group of rats, while it was not significant in the control group (Sham, Sham+PF25mg/kg groups).ConclusionsThe results demonstrate that paeoniflorin can inhibit neuronal autophagy-related proteins and suppress apoptosis in spinal cord tissue. This inhibition contributes to improving neurological function in rats with tethered cord syndrome through the combined actions of autophagy inhibition and Notch pathway activation.
Single Cell sequencing reveals heterogenicity of differential gene-expression and altered interactome in post ischemic mice brain cells
Authors: Lu Ting , Hou Shengzhen , Wang Liyun , Li Haitao , Zhang Zunlu , Hu Mingzhe , Zhang Jinping 
Published: June 2024

IntroductionIschemia, resulting from reduced blood supply due to arterial constriction or blockages, leads to oxygen and nutrient deprivation, impacting various body systems and contributing to numerous diseases. Despite extensive research on ischemia, molecular studies with spatial and temporal specificity are limited. Our study utilized single-cell genomics to investigate hypoxia-induced changes in the mouse brain at 30 and 60 minutes of exposure, aiming to map cellular trajectories, ontologies, and expression patterns in a cell-specific manner.Material and methodsWe developed a mouse model of hypoxia using the thread-plug method. Experimental groups were exposed to hypoxia for 30 minutes (T_30) and 60 minutes (T_60), with a sham surgery group as control. After excising the cerebral cortex, we performed nuclear isolation and library construction for spatio-temporal analysis of cortical cells. Data analysis included differential gene expression, trajectory analysis, examination of gene regulatory networks, and hallmark analysis.ResultsSingle-cell genomics analysis revealed 12 distinct cell populations with different transcriptomic profiles. Spatio-temporal distinctions in cell signaling were observed, showing a switch from Ras GTPase signaling to calmodulin and calcium-dependent signaling between the two hypoxia levels. In the T_30 group, distal axons and growth cones were transcriptionally active, while in the T_60 group, cell edges and post-synaptic areas were more active. The synaptic vesicle cycle was implicated in transcriptional changes across the T_30 and T_60 groups.ConclusionsOur single-cell genomics study provides new insights into cellular dynamics during hypoxia. The identified cell populations and molecular pathways highlight potential targets for further research and the development of targeted therapies for ischemia.