bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incommensurability enabled quasi-fractal order in 1D narrow-band moiré systems
Authors: Amorim Bruno , Riche Flavio , Castro Eduardo , Ribeiro Pedro , Gonçalves Miguel 
Published: June 2023

Abstract

We demonstrate that quasiperiodicity can radically change the ground state properties of 1D moiré systems with respect to their periodic counterparts. By studying an illustrative example we show that while narrow bands play a significant role in enhancing interactions both for commensurate and incommensurate structures, only quasiperiodicity is able to extend the ordered phase down to an infinitesimal interaction strength. In this regime, the quasiperiodic-enabled state has contributions from infinitely many wave vectors. This quasi-factal regime cannot be stabilized in the commensurate case even in the presence of a narrow band. These findings suggest that quasiperiodicity may be a critical factor in stabilizing non-trivial ordered phases in interacting moiré structures and signal out multifractal non-interacting phases, recently found in 2D incommensurate moiré systems, as particularly promising parent states.
Anisotropic surface quenching of upconversion nanoparticles
Authors: Cai Yangjian , Shang Yunfei , Qin Xian , Jin Dayong , zhou jiajia 
Published: June 2023

Abstract
Shape anisotropy at the nanoscale has emerged as a potent way to access new properties and functionalities of luminescent materials. While the controlled synthesis and precise characterization of the anisotropy-dependent properties are important challenges in nanoscience, success has recently been achieved in lanthanides doped nanoparticles. In particular, the lanthanides doped upconversion nanoparticles demonstrate an anisotropy-enabled set of unique and fine-tuned optical properties at the single nanoparticle level. However, it is still unclear how their optical properties relate to the behavior of surface ligands, a factor considered as a significant contribution to energy transfer in nanoparticles, thereby determining emission property. Here, we report a method that employs the splitting spectroscopy of single nanoparticles to reveal the surface ligands participated transition process of lanthanides, leading to a previously unknown exploration of quenching selectivity. We design a nanoplate to correlate its splitting transition intensity ratio with quenching selectivity, in which two polarization orthogonal splitting dipoles will interact with surface ligands selectively on the orthogonal facets. We verify this by implementing single dimensional particle growth to finely tune the quenching selectivity in a series of nanoplates and nanorods with controlled anisotropic aspect ratio. These findings offer insights into the way the surface regulates the ionic electron transition and contribute to the development of selective emissions in anisotropic nanoparticles.
The misbeliefs and food taboos during pregnancy and early infancy: A pitfall to attaining adequate maternal and child nutrition outcomes among the rural Acholi communities in Northern Uganda
Authors: Acire Peter Vivian , Bagonza Arthur , Opiri Nicolas 
Published: June 2023

Abstract
Background
In developing countries, the practice of food taboo is widespread. The types of foods considered taboos and the reasons attached to taboos vary from society to society. Food taboos have been recognized as one of the factors contributing to maternal undernutrition in pregnancy, especially in rural settings. In the rural Acholi community where malnutrition is prevalent, very little is known about these food taboos and misbeliefs. This study, therefore, aims to explore various misbeliefs and food taboos in the time of pregnancy that can influence maternal and child nutrition outcomes in Acholi.
Methods
A community-based qualitative cross-sectional study was conducted between April and May 2022 in five districts in the Acholi subregion. Focus group discussions (FGDs) and key informant interviews (KIIs) were used to collect data. Data were transcribed verbatim, arranged into themes, given unique color codes, and analysed manually using the thematic analysis method.
Results
Upon scrutiny of the transcripts, three themes were eminent. The first theme focused on foods that are considered taboos in the Acholi community and the reasons linked to them. Participants indicated offals, chicken, wild birds, smoked meat and fish, sugarcane, garden egg (‘Tula’), groundnut, bush meat, mushrooms, honey, sour fruits, or meals (oranges, mango, passion fruits, lemon, tamarind, ‘Malakwang’), goat’s meat, ‘Lalaa' (the bitter green leafy vegetable), and ‘Lamola' (Hyptis spicigera) as the major taboo foods. The second theme was the reasons underlying the adherence to the food taboos and misconceptions. Cultural dictates, individual characteristics, and societal context were the main reasons for adherence to food taboos. The third theme looked at misconceptions and other taboos during pregnancy. It was found that pregnant women are not allowed to touch grave soil, shave their hair, walk over an anthill, slaughter chicken or birds, have sex during pregnancy, sit on animal's hide or skin, and/or touch needles.
Conclusions
Nutritional counselling and education should focus more on addressing food taboos. The mode of delivery of the nutrition message should be inclusive, targeting pregnant women and their spouses, school-going children, adolescent girls, and cultural leaders at their respective points of contact.
Multivariant analysis of variance to discriminate groups based on dependent variables
Authors: Jadhav Varsha D. , Dolas Dhananjay R. 
Published: June 2023

Abstract
Multivariate data analysis applications have increased in scientific research areas and have raised the complexity of analysis and interpretation. Multivariate analysis of variance (MANOVA) is used to model responses from more than one response variable on a single variable or a set of variables. The experimentation uses the Pillai’s trace test, because it is the best option, if the MANOVA assumptions of homogeneity of variance is violated. Linear discriminant analysis discriminates the groups by making use of information from dependent variables. The main objective of MANOVA, is to determine whether numerous levels of independent variables on their own or in grouping with one another have an effect on the dependent variable.
Infinitely many solutions of p-superlinear p-Laplacian problems
Authors: Ma Ruyun , Yang Lijuan 
Published: June 2023

Abstract
We are concerned with the existence of infinitely many solutions for p-Laplacian problem \begin{equation*}\left\{ \begin{array}{ll} -(\varphi_p(u'))'= g(u)+h(x,u,u'), &x\in(0,1),\ \ \\ u(0)=u(1)=0, \ \ \end{array} \right.\eqno(P)\end{equation*} where \varphi_p(s):=|s|^{p-2}\cdot s, p>1, g:\mathbb{R}\to\mathbb{R} is a continuous function and satisfies p-superlinear growth at infinity, h:[0,1]\times\mathbb{R}^2\to\mathbb{R} is a continuous function satisfying |h(x,\xi,\xi_1)|\leqslant C+\frac{1}{2}|\varphi_p(\xi)|. Based on global bifurcation techniques, we obtain infinitely many solutions of (P) having specified nodal properties.
MR(2020) 34B09, 34B16, 34C23
Properties of the solar wind parameters associated with the enhanced Russell-McPherron Effect in March 2008
Authors: Zhao Ming-Xian , Le Gui-Ming 
Published: June 2023

Abstract
We study the properties of the solar wind parameter associated with the enhanced Russell-McPherron (R-M) effect that occurred on 8–9 March 2008. The solar wind during the period from 01:33 UT and 05:24 UT on 9 March 2008 (hereafter Period2) makes a dominant contribution to the ring current intensity of the geomagnetic storm that occurred on 8–9 March 2008. It is usually accepted that the enhanced R-M effect is due to the negative ByGSE around the spring equinox. However, we found that ByGSE are positive during most of Period2. The enhanced R-M effect described by the enhanced ring current effect estimated by the empirical formulae created by Burton et al. (1975) and by O’Brien & McPherron (2000) for the solar wind during Period2 are −33.23 nT and −26.45 nT, respectively. However, the real ring current effect caused by the solar wind during Period2 is −88.10 nT. The reason that we find is that the solar wind dynamic pressure is high during Period2. The results of this study indicate that the enhanced R-M effect described by the enhanced ring current effect not only depends BzGSM, but also depends on the solar wind dynamic pressure. The enhanced ring current effect around the spring equinox of 2008 caused by BzGSM, is amplified by the solar wind dynamic pressure by about 3 times.
Harnessing Emerging Digital Technologies to Promote Equitable, Diverse and Inclusive Supply Chains: A Scoping Review
Authors: Mwangakala Hilda , Mongi Hector , Ishengoma Fredrick , Shao Deo , Chali Frederick , Mambile Cesilia , Julius Bernard 
Published: June 2023

Abstract

Purpose
The impact of digital transformation in agriculture, including innovations in crop supply chains, is global. Despite that, the level of this technology practice varies across countries, regions, crop types, technologies, socio-economic statuses, and cultures. In the literature, there needs to be more evidence for digital technologies’ role in the role of equity, diversity, and inclusion (EDI) to improve agricultural supply chains (ASC). Thus, this scoping study synthesizes extant research on the extent to which Emerging Digital Technologies (EDTs) promote EDI in the ASC.
Methodology:
A scoping approach to systematic literature review (SLR) was applied to achieve the objective by deploying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for scoping reviews. The methodology guided the process of conducting the scoping review step by step.
Findings:
Emerging technologies have been found to focus much on some parts of the ASC (such as transportation) where there are limited studies in other ASC parts. Most emerging technologies have been employed in the food supply chain where there is limited literature on the cash crops supply chain.
Research limitations/implications:
The evidence gathered through this study informs innovation policies and prioritizes opportunities for future research and practices in the area. IoT, Blockchain, and Machine Learning are among the technologies worth detailed study for EDI in agricultural supply chain innovations. Each of these provides unique contributions but is subject to further evaluation, re-development, and deployment that considers the local context, nature of innovation, and other dynamics within the ecosystem.
Originality/value:
This review provides insight into the current body of knowledge on the role of EDTs towards addressing EDI in ASC.
Application of high performance one-dimensional chaotic map in key expansion algorithm
Authors: Li Yuxuan 
Published: June 2023

Abstract
In this paper, we present a key expansion algorithm based on a high-performance one-dimensional chaotic map. Traditional one-dimensional chaotic maps exhibit several limitations, prompting us to construct a new map that overcomes these shortcomings. By analyzing the structural characteristics of classic 1D chaotic maps, we propose a high-performance 1D map that outperforms multidimensional maps introduced by numerous researchers in recent years. In block cryptosystems, the security of round keys is of utmost importance. To ensure the generation of secure round keys, a sufficiently robust key expansion algorithm is required. The security of round keys is assessed based on statistical independence and sensitivity to the initial key. Leveraging the properties of our constructed high-performance chaotic map, we introduce a chaotic key expansion algorithm. Our experimental results validate the robust security of our proposed key expansion algorithm, demonstrating its resilience against various attacks. The algorithm exhibits strong statistical independence and sensitivity to the initial key, further strengthening the security of the generated round keys.
Analysis of the assessment and improvement of working conditions for drivers of technological vehicles on the example of the mining and transport complex of the Udachny MPP of AK Alrosа
Authors: Maksimova M. A. 
Published: June 2023

Working conditions of drivers of technological transport on the example of the depot of Alrosа AK were assessed, effective management solutions aimed to reduce their professional risks based on improving the labor protection system of transport enterprises of mining complexes were developed. The mining transport system of the Udachninsky MPP of Alrosa was characterized, the units of technological transport of the carpool were described; the structure of management of the carpool of technological transport was analyzed. The working conditions of drivers of the mining and transport system were studied based on the results of a special assessment of working conditions for 2021. The harmful production factors and the reasons for reducing their exposure levels were evaluated. Measures that allow the company to maintain acceptable working conditions for workplaces with the presence of harmful production factors were developed. The management decisions of Alrosa ensuring safe working conditions for drivers were presented. They can be implemented through large annual financial investments in personal protective equipment, periodic audits in the occupational health and industrial safety system and three-level control, and innovative technologies. The advanced methods of creating normative working conditions with minimal health risks were studied. The strategic management decisions that improve the industrial safety and labor protection in all divisions of this enterprise were described.
Dominator Coloring of Total Graph of Path and Cycle
Authors: Shukla Minal , Chandarana Foram 
Published: June 2023

A dominator coloring of a graph G is a proper coloring in which every vertex of G dominates every vertex of at least one-color class possibly its own class and each color class is dominated by at least one vertex. The minimum number of colors required for dominator coloring of G is called the dominator chromatic number of G and is denoted by χdG. In this paper, we have established the relation between dominator chromatic number χdG, chromatic number χG and domination number γG. We have investigated results on total graphs of path and cycle with χdG = χ G + γ G and χdG = χ G + γ G - 1.
Electrotechnological Heat Treatment of Milk: Energy and Exergy Efficiency
Authors: Bagaev Andrei , Bobrovskiy Sergey 
Published: June 2023

The dairy industry needs new and more energy-efficient technological procedure for milk pasteurization. This article introduces a comparative efficiency assessment of various milk pasteurization technologies and electrotechnological means.
The study featured milk, which was heated from 20 to 75°C with a capacity of 1000 kg/h at an estimated power of 58.95 kW. The treatment involved a steam-to-milk pasteurizer with electric indirect or direct heating, an induction pasteurizer, and a thermosiphon pasteurizer with direct or indirect electric heating. The study relied on the methods of energy and exergy analyses.
The system of steam-to-milk pasteurizer with electric indirect (elemental, induction) or direct (electrode) heating demonstrated the following indicators: exergy loss – 1.29 kW, power consumption – 71.29 kW, exergy efficiency – 0.99, energy efficiency – 0.827. The thermosiphon pasteurizer with direct or indirect electric heating demonstrated the following properties: exergy loss – 1.29 kW, power consumption – 60.92 kW, exergy efficiency – 0.99, energy efficiency – 0.9676. The induction pasteurizer had the least competitive parameters: exergy loss – 10.8 kW, power consumption – 70.43 kW, exergy efficiency – 0.867, energy efficiency – 0.837.
The thermosiphon pasteurizer with direct or indirect electric heating was able to increase the energy efficiency of milk pasteurization, while the induction pasteurizer proved to be a promising R&D direction.
Technological Properties of Dough from a Mix of Rye and Wheat Flour with Processed Sea Buckthorn
Authors: Koneva Svetlana , Zakharova Alexandra , Meleshkina Larisa , Egorova Elena , Mashkova Iryna 
Published: June 2023

Processed fruit and berry raw materials often become part of bakery formulations. They increase the nutritional value of the finished product and change the rheological properties of the dough. Processed sea buckthorn (Hippophaё rhamnoides L.) maintains natural biochemical properties, which makes it a valuable food ingredient. The research objective was to conduct a comprehensive study of the technological properties of dough made of rye and wheat flour with sea buckthorn meal and dry sea buckthorn extract.
The research involved sea buckthorn extract and meal mixed with wheat and rye flour, as well as dough and bread from the experimental flour mixes. The experimental part included standard methods used in the bakery industry.
The sea buckthorn meal and extract contained protein (10.3 and 4.3%), crude fiber (8.7 and 0.3%), pectin (5.27 and 0.11%), and ascorbic acid (21.63 and 53.68 mg/100 g). They were highly acidic: 4.9 and 3.0%, respectively. As a result, protein substances and dietary fibers took a longer time to swell. The high acidity also inhibited α-amylase, which improved the rheological properties but increased the dough development time and stability. The sea buckthorn products had a positive effect on the starch crystallization processes and reduced the storage-related starch degradation. The sensory evaluation of the bread described its shape as regular, with fluffy crumb and pleasant sea buckthorn flavor.
Thus, sea buckthorn meal and extract proved excellent technological acidifiers and regulators of amylolytic activity. The additives made it possible to reduce the amount of liquid rye sourdough from 30 to 15% and the fermentation time because the dough acidity reached 7.5–8.0 degrees.
Neural Network and Home Hydroponics
Authors: Borodulin Dmitry , Shafrai Anton , Maksimenko Aleksandr 
Published: June 2023

Hydroponics is a method of soilless cultivation of plants. It shortens the vegetation period, reduces the risk of disease and insect infestation, and provides a year-round growing cycle. Hydroponics depends on efficient water management. It is associated with a complex design, operation, and maintenance. Neural networks can control complex technological processes in agriculture. The research objective was to use a neural network to increase the efficiency of a home hydroponics system.
The study involved a nutrient bed hydroponics setup with ten Lactuca sativa plants. Sensors collected information about the temperature and humidity of air, illumination, and the temperature of the leaf surface. Data processing, neural network training, and microcontroller programming relied on Python 3, PyTorch, and MicroPython.
The four-layer perceptron, which is a popular control mechanism, turned out to be the most effective neural network architecture. Fewer layers resulted in a high error rate (≥ 5%). When the number of layers was > 4, the error level remained at that of the four-layer experiment (0.2%). Further practical tests showed an increase in energy efficiency by 32.3%, compared to the classical control algorithm at close values of plant transpiration.
Neural net technology could be integrated into energy-saving residential premises and smart home systems in order to increase the self-sufficiency of hydroponics installations.
Application of GIS using NDVI and LST estimation to measure climate variability-induced drought risk assessment in Ethiopia
Authors: Gelata Fikiru Temesgen , Jiqin Han , Chaka Gemeda Samerawit , Wubishet Asefa Birhan 
Published: June 2023

Abstract
The contribution of this paper is to assess the drought patterns using the Land Surface Temperature (LST) estimation index and examine the correlation between the Normalized Difference Vegetation Index (NDVI). The main objective was to evaluate the spatiotemporal variation in agricultural drought patterns and severity in order to estimate and measure climate variability. According to the study's findings, the region experienced mild to severe meteorological drought periods 15–18 times over the study period. The majority of these periods (62.72%) were classified as mild drought (unusual dry circumstances), which usually only showed a slight departure from the distribution of rainfall that is close to normal. According to the findings, cropping seasons from 2013 to 2022 saw an increase in agricultural dryness and a decrease in grain yield, with varying degrees of severity in different geographic locations. Based on the result, the major difficulties and challenges identified were the shortage of drinking water, and impacts on air quality, and food and nutrition. Accordingly, agricultural drought risk mapping can be utilized to mitigate the risk associated with drought on agricultural productivity and guide decision-making processes in drought monitoring.
Pediatric Phagophobia: A Systematic Review and a Case Report of
Pharmacological Interventions
Authors: AlAbdullah Haidar , Almulhim Abdulmohsin , Albanna Ammar 
Published: June 2023

Background:
Phagophobia is characterized by conditioned excessive fear of swallowing or choking that is usually triggered by an incident. It usually leads to avoidance of certain types of food or, in severe forms, a complete refusal to eat solid food and/or liquids. The condition is commonly associated with physical and psychological symptoms impacting the health condition of the individual due to deprivation of essential nutrients.

Case Presentation:
A 12-year-old boy developed acute onset fear of swallowing (Phagophobia) following a dream he had of someone choking. This was exacerbated by watching an online video of a person choking. This has led to an avoidance of solid food and dependence on soft food and liquids. Fear of swallowing along with food avoidance has led to malnutrition, weight loss, and several physical complaints for which the patient was admitted under pediatric care. A course of Cognitive Behavioral Therapy (CBT) resulted in limited response and was augmented with fluoxetine. Full remission was achieved within six weeks.

Methods:
A systematic review of all peer-reviewed English literature was performed for articles related to the pharmacological treatment of pediatric phagophobia (0-18 years) following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines.

Results:
A total of 17 case reports were identified describing 17 children with phagophobia (females = 70 %). The mean age was 9.3 and the average was between 2 and 15 years who were diagnosed with choking phobia/ phagophobia or different but equivalent diagnoses like Avoidant/Restrictive Food Intake Disorder or Post Traumatic Feeding Disorder. Different classes of medications were used in variable doses for different durations which were associated with significant improvement in eating patterns and reduction in fear and anxiety associated with eating.

Conclusion:
Phagophobia is a serious and potentially life-threatening illness that can cause physical complications and functional impairment in the psychosocial aspect. Pharmacological treatment can be a beneficial and safe option either alone or in combination with therapeutic interventions for children presenting with phagophobia.
Coumarin-Derived Mannich Bases: A Review of Biological Activities
Authors: Luong La Quy , Vu Tran Khac 
Published: June 2023

Abstract:
Mannich bases have a distinct place in the field of medicinal and pharmaceutical chemistry.
These are used as lead compounds for the synthesis of numerous heterocyclic compounds, which possess
diverse biological activities and play pivotal roles. This review covers the latest literature and
knowledge on Mannich bases derived from coumarin. In addition, this review also aims to provide a
comprehensive overview of recent developments in medicinal chemistry and shed light on the biological
activities and structure-activity relationship (SAR) of coumarin-based Mannich bases.