bluuebunny/crossref_metadata_2025 huggingface dataset:
Game On, Reflection On: Reflection Diaries as a Tool for Promoting Reflection Skills in Geography Lessons
Authors: Baßeng Geraldine , Budke Alexandra
Published: March 2024

In this study, a diary was developed and used by students to reflect on digital games in geography lessons. The students’ reflection results, through the use of the diary, were compared with reflections without instructional guidance. These results show a significant improvement in reflection through the use of the reflection diary compared to a previous study. Through the combination of lessons, play phases, and the reflection diary, a learning arrangement that enables in-depth reflections at different levels of reflection was created. The medium plays a decisive role by taking the pupils out of their role as players and enabling a critical distance to the game. With the help of the reflection diary, students should be able to better reflect on the game. The reflection diary is integrated into the lessons. It also shows that subject-specific lessons are indispensable for reflecting on the gaming experience in order to counteract subject-specific misconceptions.
Students’ Assessment of Learning in a Volleyball Course at a University: A Mixed Methods Study
Authors: Moa Ivar Fossland , Lagestad Pål , Sørensen Arne
Published: March 2024

The aim of the study was to evaluate students’ assessment of their learning after a teaching period of volleyball training in a university course. The teaching was research-based and linked to relevant theories of motor learning, small-sided games (SSG), teaching games for understanding (TGfU), and motivational climate. To examine the research question, a mixed methods design was used, which included a questionnaire and reflection notes from the students. The questionnaire data constituted the basis for an analysis of the students’ reported development in their skills and knowledge in four relevant learning outcomes, while the qualitative data provided more in-depth data related to their learning. The statistical analyses showed a significant increase in the experience of skills and knowledge in all four relevant learning outcomes related to the curriculum of the course. From reporting poor or medium goal achievement prior to the course, the students, in general, reported good goal achievement after the course. The thematic analysis of the reflection notes supported these findings, in which game activities in small groups were especially identified as positive. Furthermore, the students stated that the teacher and a learning-oriented motivational climate were crucial in contributing to a positive learning environment. Some of the students reported too little instruction and feedback from the teacher during the course. The students expressed a few suggestions for changes to the content and methodology of the teaching. The study indicates that this type of research-based teaching may be important to produce a positive learning outcome for students. Our finding is consistent with previous research, which identifies which elements should be emphasized when implementing training in this subject area. As the survey only had 30 respondents and the design did not contain a control group, caution should be exercised when drawing strong conclusions from this study.
Attitudes toward Inclusive Education from a Network Perspective
Authors: Selisko Tom Jannick , Klopp Eric , Eckert Christine , Perels Franziska
Published: March 2024

The present study showcases attitudes toward inclusive education in a new light. It contributes to the ongoing debate regarding the extent of inclusive education and highlights the importance of teachers in a process toward inclusion. Based on a framework that involves the reciprocal relation between models of disability, learning theory, and placement of persons with disabilities, attitudes of student teachers and psychology students from a German university are analyzed and mapped through the application of a network approach. This facilitates visualization and categorization based on their statistical relation. An online questionnaire consisting of established and newly developed scales was answered by (n=) 132 student teachers and (n=) 59 psychology students, resulting in n = 191 participants. The study was publicly promoted, and participants were offered study credentials. Using a Spinglass algorithm to analyze the data, we detected two distinct communities in the network: an Exclusion Community and an Inclusion Community. These are supported by further variables (Empathy, Contact, Authoritarianism, and Social Darwinism). The findings demonstrate an especially firm Exclusion Community, whereas inclusive attitudes appear to be varied.
A 0.59 nW/kHz Clock Circuit with High-Precision Clock Calibration for Passive Internet of Things Chips
Authors: Li Xiaoming , Xu Hui , An Yabin , Feng Xiting
Published: March 2024

The high precision and low power consumption of the clock generator are critical in passive RFID transponders and passive IoT chips, but fluctuations in PVT can cause considerable degradation in the precision of the chip’s internal clocks. This paper proposes a high-precision clock circuit with a single-shot calibration method to addresses this issue in a low-power clock solution. Based on the reference timespan in the preamble of the down-link RF envelope, a TDIF (Time-digital to current-frequency) calibration method was implemented with both a streamlined procedure and customized circuits. By computing the difference between the time counts and applying it to an ultra-low-power, current-starved oscillator, the current change ratio can be linearly controlled. Compared to the traditional integer frequency division scheme used by passive tags for a 160 k bits up-link data rate, the required frequency for the clock generator was reduced from 960 kHz to 320 kHz, the calibration error was reduced from ±10% to ±3% for ±25% frequency deviation, the calibration time was 133.3 μs for a single shot in this work, and the power consumption was 158 nW after the calibration was completed. This leads to an excellent power efficiency of 0.59 nW/kHz and meets the requirements of low power, low cost, and PVT robustness in the RF-powered passive IoT chips. By appropriately increasing the number of calibration digits and the duration, this calibration approach could also be used for other ultra-low-power passive IoT chips that require higher-precision clocking without the use of off-chip crystals.
NOx Emission Prediction of Diesel Vehicles in Deep Underground Mines Using Ensemble Methods
Authors: Kotyla Michalina , Banasiewicz Aleksandra , Krot Pavlo , Śliwiński Paweł , Zimroz Radosław
Published: March 2024

The mining industry faces persistent challenges related to hazardous gas emissions. Diesel engine-powered wheeled vehicles are commonly used during work shifts and are a primary source of nitrogen oxides (NOx) in underground mines. Despite diesel engine manufacturers providing gas generation data, mining companies need to predict NOx emissions from numerous load-haul-dumping (LHD) vehicles operating under dynamic conditions and not always equipped with gas sensors. This study focused on two ensemble methods: bootstrap aggregation (bagging) and least-square boosting (boosting) to predict NOx emissions. These approaches combine multiple weaker statistical models to yield a robust result. The innovation of this research is in the statistical analysis and selection of LHD vehicles’ working parameters, which are most suitable for NOx emission prediction; development of the procedure of source data cleaning and processing, model building and analyzing factors, which may influence the accuracy; and the comparison of two ensemble methods and showing their advantages and limitations for this specific engineering application, which was not previously reported in the literature. For datasets obtained from the same LHD vehicle and different operators, the more efficient bagging method gave a coefficient of determination R2 > 0.79 and the RMSE (root mean square error) was under 30 ppm, which is comparable with the measurement accuracy for transient regimes of physical NOx sensors available in the market. The obtained insights can be utilized as input for mine ventilation systems, enhancing mining transport management, reducing workplace air pollution, improving work planning, and enhancing personnel safety.
Interference Situational Aware Beam Pointing Optimization for Dense LEO Satellite Communication System
Authors: He Mengmin , Cui Gaofeng , Wang Weidong , Cheng Xinzhou , Xu Lexi
Published: March 2024

Recently, the low earth orbit (LEO) mega-constellation faces serious time-varying interferences due to spectrum sharing, dense deployment, and high mobility. Therefore, it is important to study the interference avoidance techniques for the dense LEO satellite system. In this paper, the interference situational aware beam pointing optimization technique is proposed. Firstly, the angle of departure (AoD) and angle of arrival (AoA) of the interfering links are obtained to represent the time-varying interference. Then, the interference avoidance problem for dense LEO satellite systems is modeled as a non-convex optimization problem, and a particle swarm optimization (PSO) based method is proposed to obtain the optimal beam pointing of the user terminal (UT). Simulations show that the relative error of the mean signal-to-interference plus noise ratio (SINR) obtained by the proposed method is 0.51%, so the co-channel interference can be effectively mitigated for the dense LEO satellite communication system.
AoI-Aware Resource Scheduling for Industrial IoT with Deep Reinforcement Learning
Authors: Li Hongzhi , Tang Lin , Chen Shengwei , Zheng Libin , Zhong Shaohong
Published: March 2024

Effective resource scheduling methods in certain scenarios of Industrial Internet of Things are pivotal. In time-sensitive scenarios, Age of Information is a critical indicator for measuring the freshness of data. This paper considers a densely deployed time-sensitive Industrial Internet of Things scenario. The industrial wireless device transmits data packets to the base station with limited channel resources under the constraints of Age of Information. It is assumed that each device has the capacity to store the packets it generates. The device will discard the data to alleviate the data queue backlog when the Age of Information of the data packet exceeds the threshold. We developed a new system utility equation to represent the scheduling problem and the problem is expressed as a trade-off between minimizing the average Age of Information and maximizing network throughput. Inspired by the success of reinforcement learning in decision-processing problems, we attempt to obtain an optimal scheduling strategy via deep reinforcement learning. In addition, a reward function is constructed to enable the agent to achieve improved convergence results. Compared with the baseline, our proposed algorithm can achieve better system utility and lower Age of Information violation rate.
Advanced Persistent Threat Group Correlation Analysis via Attack Behavior Patterns and Rough Sets
Authors: Li Jingwen , Liu Jianyi , Zhang Ru
Published: March 2024

In recent years, advanced persistent threat (APT) attacks have become a significant network security threat due to their concealment and persistence. Correlation analysis of APT groups is vital for understanding the global network security landscape and accurately attributing threats. Current studies on threat attribution rely on experts or advanced technology to identify evidence linking attack incidents to known APT groups. However, there is a lack of research focused on automatically discovering potential correlations between APT groups. This paper proposes a method using attack behavior patterns and rough set theory to quantify APT group relevance. It extracts two types of features from threat intelligence: APT attack objects and behavior features. To address the issues of inconsistency and limitations in threat intelligence, this method uses rough set theory to model APT group behavior and designs a link prediction method to infer correlations among APT groups. Experimental results on publicly available APT analysis reports show a correlation precision of 90.90%. The similarity coefficient accurately reflects the correlation strength, validating the method’s efficacy and accuracy.
APIMiner: Identifying Web Application APIs Based on Web Page States Similarity Analysis
Authors: Chen Yuanchao , Lu Yuliang , Pan Zulie , Chen Juxing , Shi Fan , Li Yang , Jiang Yonghui
Published: March 2024

Modern web applications offer various APIs for data interaction. However, as the number of these APIs increases, so does the potential for security threats. Essentially, more APIs in an application can lead to more detectable vulnerabilities. Thus, it is crucial to identify APIs as comprehensively as possible in web applications. However, this task faces challenges due to the increasing complexity of web development techniques and the abundance of similar web pages. In this paper, we propose APIMiner, a framework for identifying APIs in web applications by dynamically traversing web pages based on web page state similarity analysis. APIMiner first builds a web page model based on the HTML elements of the current web page. APIMiner then uses this model to represent the state of the page. Then, APIMiner evaluates each element’s similarity in the page model and determines the page state similarity based on these similarity values. From the different states of the page, APIMiner extracts the data interaction APIs on the page. We conduct extensive experiments to evaluate APIMiner’s effectiveness. In the similarity analysis, our method surpasses state-of-the-art methods like NDD and mNDD in accurately distinguishing similar pages. We compare APIMiner with state-of-the-art tools (e.g., Enemy of the State, Crawlergo, and Wapiti3) for API identification. APIMiner excels in the number of identified APIs (average 1136) and code coverage (average 28,470). Relative to these tools, on average, APIMiner identifies 7.96 times more APIs and increases code coverage by 142.72%.
Improved Carrier-Based Modulation for the Single-Phase T-Type qZ Source Inverter
Authors: Fernão Pires Vitor , Cordeiro Armando , Foito Daniel , Roncero-Clemente Carlos , Romero-Cadaval Enrique , Silva José Fernando
Published: March 2024

The Quasi-Impedance-Source Inverter (Quasi-Z inverter) is an interesting DC-AC converter topology that can be used in applications such as fuel cells and photovoltaic generators. This topology allows for both boost capability and DC-side continuous input current. Another very interesting feature is its reliability, as it limits the current when two switches on one leg are conducting simultaneously. This is due to an extra conduction state, specifically the shoot-through state. However, the shoot-through state also causes a loss of performance, increasing electromagnetic interference and harmonic distortion. To address these issues, this work proposes a modified carrier-based control method for the T-Type single-phase quasi-Z inverter. The modified carrier-based method introduces the use of two additional states to replace the standard shoot-through state. The additional states are called the upper shoot-through and the lower shoot-through. An approach to minimize the number of switches that change state during transitions will also be considered to reduce switching losses, improving the converter efficiency. The proposed modified carrier-based control strategy will be tested using computer simulations and laboratory experiments. From the obtained results, the theoretical considerations are confirmed. In fact, through the presented results, it is possible to understand important improvements that can be obtained in the THD of the output voltage and load current. In addition, it is also possible to verify that the modified carrier method also reduces the input current ripple.
Impacts of Compound Hot–Dry Events on Vegetation Productivity over Northern East Asia
Authors: Kang Jing , Yu Miao , Xia Ye , Sun Shanlei , Zhou Botao
Published: March 2024

Climate extremes, such as heatwaves and droughts, significantly impact terrestrial ecosystems. This study investigates the influence of compound hot–dry (CHD) events on vegetation productivity in northern East Asia. Four of the most widespread CHD events occurring during the summer from 2003 to 2019 were selected as the focus of this research. We first verified the performance of the Community Land Model version 5 (CLM5) in the region and then conducted factor-controlled experiments using CLM5 to assess the effects of different climate factors on gross primary productivity (GPP) changes during CHD events. Our results show that vegetation productivity exhibits greater sensitivity to CHD events within the transitional climatic zone (TCZ) than in other affected areas. In grassland areas within the TCZ, precipitation deficit is the primary factor leading to the decrease in GPP (explaining 56%–90% of GPP anomalies), while high temperatures serve as a secondary detrimental factor (explaining 13%–32% of GPP anomalies). In high-latitude forests outside the TCZ, high temperature has a more significant impact on suppressing GPP, while the decrease in soil moisture has a synchronously negligible impact on GPP. There are differences in the effects of high solar radiation on grasslands and woodlands during CHD events. It was observed that high radiation benefits trees by increasing the maximum carboxylation rate (Vcmax) and maximum electron transport rate (Jmax), as well as enhancing photosynthesis, but has a negligible impact on grasses. Furthermore, this study highlights the potential for compound events to impact vegetation productivity more than expected from individual events due to confounding nonlinear effects between meteorological factors. More than 10% of the negative anomalies in GPP during two CHD events in 2017 and 2010 were attributed to these nonlinear effects. These research findings are significant for understanding ecosystem responses to climate extremes and their influence on carbon cycling in terrestrial ecosystems. They can also contribute to more precisely evaluating and predicting carbon dynamics in these regions.
Influence of Fires on Desert Plant Communities at the Chernye Zemli (SW Russia)
Authors: Klink Galya V. , Lednev Sergey A. , Semenkov Ivan N. , Konyushkova Maria V. , Karpachevskiy Andrey M. , Chemidov Mergen M. , Ulanova Svetlana S. , Fedorova Natal’ya L. , Sharapova Anna V. , Bogun Sergey A. , Koroleva Tatyana V.
Published: March 2024

Understanding the rate and direction of pyrogenic succession in arid ecosystems, which depends on many factors, including the intensity of grazing and the frequency of pyrogenic expo-sure, will allow for more accurate predictions of the consequences of fire onplant communities, and will assist with better fire management. We studied the vegetation on 55 sites in and near the “Chernye Zemli” Natural Biosphere Reserve that burned at different times or were not affected by fires over the past 35 years and characterized the changes in vegetation cover associated with the impact of wildfire and grazing. The descriptions were grouped into chronological stages according to the time elapsed since the last fire, or into groups according to the frequency of fires. In pairwise comparison of the projective cover of plant species between chronological stages, it correlated most strongly between successive initial stages (for stages 1 and 2, p = 0.003, r = 0.73; for stages 2 and 3, p < 0.001, r = 0.78). Species with an initially higher projective cover were more likely to grow on plots in the first year after the fire: p < 0.03. Plots with rare and frequent fires had similar projective cover of individual species (r = 0.64, p < 0.001). We conclude that in the course of pyrogenic succession, communities are gradually replaced over at least ten years. At the same time, the composition of a plant community at the initial point of succession depends on the prevalence of species in the community before the fire. No fundamental effect of the frequency of fires on the composition of plant communities has been revealed.
Encapsulation of Olive (Olea europaea L.) Pruning Waste Particles by Supercritical CO2 Technology
Authors: Montes Antonio , Valor Diego , García-Casas Ignacio , Sánchez Ana , Pereyra Clara
Published: March 2024

Olive leaves (Olea europaea L.) contain a multitude of bioactive compounds such as sterols, carotenes, triterpenic alcohols and phenolic compounds. These compounds have been shown to exhibit antiviral, antioxidant, candida-growth-inhibitory, anticancer, antifungal, anti-inflammatory and antibacterial activities. In this sense, submicron particles from olive leaves with antioxidant activity were precipitated by supercritical antisolvent extraction in a previous work. Moreover, encapsulation enables the delayed release of compounds and avoids the first-step effect in medical therapies. Therefore, this work focused on encapsulation of particles with a certain antioxidant capacity from olive pruning waste using supercritical technology. A variety of experiments were carried out to test how the different operating variables (pressure, temperature and extract–polymer ratio) affect. Morphology was analyzed by SEM microscopy, obtaining encapsulates between 1 and 5 microns in size. The antioxidant capacity was determined by the DPPH assay, with most of the encapsulates having AAI values between 0.5 and 1 (moderate antioxidant capacity). An increase in polyphenol content was observed in the 1:3 ratio tests. The release of the compounds in gastric simulated medium was retarded by the polymeric encapsulation, while in intestinal fluid, the solubility was improved compared to the unencapsulated particles. Overall, the supercritical encapsulation process for the natural extract of olive pruning residues has proven to be effective in obtaining antioxidant particles with different release profiles.
Effects of Teosinte Flour (Dioon mejiae) on Selected Physicochemical Characteristics and Consumer Perceptions of Gluten-Free Cocoa Cookies Formulated with Mung Bean (Vigna radiata) Flour
Authors: Rivera Carlos José , Aleman Ricardo S. , Ortega Jorge , Muela Andrea , Marcia Jhunior , King Joan , Prinyawiwatkul Witoon
Published: March 2024

Dioon mejiae, or teosinte, is a living fossil tree discovered in Olancho, Honduras, whose seeds have a desirable nutritional profile that can provide health benefits. As a result, the objective of this study was to evaluate the effects of teosinte flour obtained from seeds on selected physicochemical characteristics and consumer perceptions of gluten-free cocoa cookies formulated with mung bean (Vigna radiata) flour. Gluten-free cocoa cookies were prepared with different levels of teosinte flour (0%, 70%, 80%, 90%, and 100% by weight of mung bean flour) in substitution of mung bean flour. The cookies were evaluated for texture hardness, color (L*, a*, b*), moisture content, and water activity. Sensory acceptability of appearance, color, texture, aroma, flavor, and overall quality of cocoa cookies was rated by 175 consumers using a “yes/no” binomial scale. Overall liking was evaluated using a 9-point hedonic scale. Purchase intent was evaluated with a “yes/no” binomial scale. The levels of teosinte flour did not significantly affect the acceptability of appearance, color, texture, flavor, aroma, and overall quality, and neither the overall liking nor the purchase intent responses. However, the texture attribute had the lowest % acceptability response among all sensory attributes. The addition of teosinte flour did not affect water activity and color (L*, a*, b*), whereas it decreased the texture hardness (g force), producing softer cookies. Cocoa cookies stayed acceptable even at 100% teosinte flour addition (70% acceptability; mean overall liking = 5.69). Teosinte flour has an excellent nutritional profile that could be practically applied in baked goods.
Chemical Characterization Analysis, Antioxidants, and Anti-Diabetic Activity of Two Novel Acidic Water-Soluble Polysaccharides Isolated from Baobab Fruits
Authors: Song Shen , Abubaker Mohamed Aamer , Akhtar Maryam , Elimam Abdalla Musa , Zhu Xinliang , Zhang Ji
Published: March 2024

This study explores the isolation and characterization of two acidic polysaccharides from baobab (Adansonia digitata) fruits, named ADPs40-F3 and ADPs60-F3; the two types of acidic polysaccharides exhibited high sugar content and chemical structural features characterized by O–H, C–H, carbonyl C=O, and COOH carboxyl functional groups. The two fractions showed molecular weights of 1.66 × 105 and 9.59 × 104 Da. ADPs40-F3 residues consist of arabinose (2.80%), galactose (0.91%), glucose (3.60%), xylose (34.70%), and galacturonic acid (58.10%). On the other hand, ADPs60-F3 is composed of rhamnose (1.50%), arabinose (5.50%), galactose (2.50%), glucose (3.10%), xylose (26.00%), and galacturonic acid (61.40%). Furthermore, NMR analysis showed that the main acidic structures of ADPs40-F3 and ADPs60-F3 are formed by 4,6)-α-d-GalpA-(1→, →4)-β-d-Xylf-(1→, →4,6)-β-d-Glcp-(1→, →5)-α-L-Araf-(1→, →4,6)-α-d-Galp-(1→ residues and 4)-α-d-GalpA-(1→, →4)-β-d-Xylf-(1→, →6)-β-d-Glcp-(1→, →5)-α-l-Araf-(1→ 4,6)-α-d-Galp-(4,6→, →2)-α-Rhap- residues, respectively, based on the observed signals. Antioxidant assays against DPPH, ABTS+, and FRAP revealed significant antioxidant activities for ADPs40-F3 and ADPs60-F3, comparable to ascorbic acid (VC). Additionally, both polysaccharides exhibited a dose-dependent inhibition of α-glucosidase and α-amylase activities, suggesting potential anti-diabetic properties. In vivo evaluation demonstrated that ADPs60-F3 significantly reduced blood glucose levels, indicating promising therapeutic effects. These findings underscore the potential utility of baobab fruit polysaccharides as natural antioxidants and anti-diabetic agents.
Ethnobotanical Knowledge, Nutritional Composition, and Aroma Profile of Vicia kulingiana Bailey: An Underutilized Wild Vegetable Endemic to China
Authors: Duan Zhongxin , Mao Kai , Chen Xingxing , Cui Yiming , Wu Wei , Nie Jianbo , Cheng Chunsong , Lin Fengke , Luo Binsheng
Published: March 2024

Vicia kulingiana, an endemic species, serves as a wild and underutilized vegetable traditionally consumed in China. However, ethnobotanical and chemical studies of this species are not available. This study analyzed its associated ethnobotanical knowledge, nutritional composition and aroma profile. Ethnobotanical surveys revealed its diverse traditional uses, especially as a nutritious vegetable. Further analysis showed V. kulingiana leaves to be high in protein, minerals, vitamin E, and dietary fiber. In total, 165 volatile compounds, such as terpenoids, alcohols, and ketones, were identified. Among them, β-ionone is the most abundant compound with a relative percentage of 8.24%, followed by 2,2,4,6,6-pentamethylheptane (3.2%), 3-(4-methyl-3-pentenyl)furan (2.37%), and linalool (1.68%). Results supported the traditional uses of V. kulingiana’s and highlighted its potential as a valuable food source, encouraging further research on its food applications. The documentation of ethnobotanical knowledge contributes to the conservation of this heritage.
Zein-Derived Peptides from Corn Promote the Proliferation of C2C12 Myoblasts via Crosstalk of mTORC1 and mTORC2 Signaling Pathways
Authors: Amin Mohammad Sadiq , Yu Binbin , Wu Dongjing , Lu Yujia , Wu Wei , Wang Jing , Zhang Yuhao , Fu Yu
Published: March 2024

Dietary protein supplementation has emerged as a promising strategy in combating sarcopenia. Furthermore, searching for alternatives of animal proteins has been a hot topic. The present study aimed to investigate the effects of zein peptides on C2C12 myoblasts and explore their potential molecular mechanisms. The proliferative, cell cycle, and anti-apoptotic activities of zein peptides were evaluated. Peptidomics analysis and transcriptome sequencing were employed to explore the structure-activity relationship and underlying molecular mechanisms. The results indicated that zein peptides (0.05–0.2 mg/mL) exerted a significant proliferation-promoting impact on C2C12 cells, via increasing cell viability by 33.37 to 42.39%. Furthermore, zein peptides significantly increased S phase proportion and decreased the apoptosis rate from 34.08% (model group) to 28.96% in C2C12 cells. In addition, zein peptides exhibited a pronounced anti-apoptotic effect on C2C12 cells. Zein peptides are abundant in branch-chain amino acids, especially leucine. Transcriptomics analysis revealed that zein peptides can promote proliferation, accelerate cell cycle, and improve protein synthesis of muscle cells through mTORC1 and mTORC2 signaling pathways.
An In Vitro Colonic Fermentation Study of the Effects of Human Milk Oligosaccharides on Gut Microbiota and Short-Chain Fatty Acid Production in Infants Aged 0–6 Months
Authors: Li Menglu , Lu Han , Xue Yuling , Ning Yibing , Yuan Qingbin , Li Huawen , He Yannan , Jia Xianxian , Wang Shijie
Published: March 2024

The impact of five human milk oligosaccharides (HMOs)—2′-fucosyllactose (2FL), 3′-sialyllactose (3SL), 6′-sialyllactose (6SL), lacto-N-tetraose (LNT), and lacto-N-neotetraose (LNnT)—on the gut microbiota and short-chain fatty acid (SCFA) metabolites in infants aged 0–6 months was assessed through in vitro fermentation. Analyses of the influence of different HMOs on the composition and distribution of infant gut microbiota and on SCFA levels were conducted using 16S rRNA sequencing, quantitative real-time PCR (qPCR), and gas chromatography (GC), respectively. The findings indicated the crucial role of the initial microbiota composition in shaping fermentation outcomes. Fermentation maintained the dominant genera species in the intestine but influenced their abundance and distribution. Most of the 10 Bifidobacteria strains effectively utilized HMOs or their degradation products, particularly demonstrating proficiency in utilizing 2FL and sialylated HMOs compared to non-fucosylated neutral HMOs. Moreover, our study using B. infantis-dominant strains and B. breve-dominant strains as inocula revealed varying acetic acid levels produced by Bifidobacteria upon HMO degradation. Specifically, the B. infantis-dominant strain yielded notably higher acetic acid levels than the B. breve-dominant strain (p = 0.000), with minimal propionic and butyric acid production observed at fermentation’s conclusion. These findings suggest the potential utilization of HMOs in developing microbiota-targeted foods for infants.
Intelligence and the Value of Forensic Science
Authors: Speaker Paul J.
Published: March 2024

Recent research has seen a rapid expansion in the reference to front-end forensics as an indication of the untapped value of forensic science. While some of these contributions have centered on development of forensic intelligence from a single area of investigation, others call for a more fundamental change in the relationship between crime laboratories and policing, particularly relating early laboratory analysis with big datasets to provide leads to investigators. We highlight several recently implemented tactical strategies of crime laboratories that contribute to the body of forensic intelligence. Beyond the scientific gains from these tactical applications, the corresponding details on associated efficiencies, costs, time savings, and quality improvements offer insights towards patterns of success for the community of crime laboratories. Further details expand an interpretation of what constitutes success with an eye on the contributions of the crime laboratory towards public health, safety, and protection of the innocent in addition to societal gains from conviction of the guilty. The economic interpretation of the value provided by the forensic laboratory assists in the cost–benefit review of strategic and tactical decisions and supports the justification for laboratory public funding with measures of the return on investment from public support of the forensic laboratory. Examples of the cost savings from crimes avoided include the returns from testing the backlog of unsubmitted sexual assault kits with USD 81 of costs avoided for each USD 1 spent to high-efficiency laboratories achieving gains of USD 646 for each UD 1 spent on de novo case submissions.
Monotone Positive Radial Solution of Double Index Logarithm Parabolic Equations
Authors: Liu Mengru , Zhang Lihong
Published: March 2024

This article mainly studies the double index logarithmic nonlinear fractional g-Laplacian parabolic equations with the Marchaud fractional time derivatives ∂tα. Compared with the classical direct moving plane method, in order to overcome the challenges posed by the double non-locality of space-time and the nonlinearity of the fractional g-Laplacian, we establish the unbounded narrow domain principle, which provides a starting point for the moving plane method. Meanwhile, for the purpose of eliminating the assumptions of boundedness on the solutions, the averaging effects of a non-local operator are established; then, these averaging effects are applied twice to ensure that the plane can be continuously moved toward infinity. Based on the above, the monotonicity of a positive solution for the above fractional g-Laplacian parabolic equations is studied.
pH-Responsive Cellulose/Silk/Fe3O4 Hydrogel Microbeads Designed for Biomedical Applications
Authors: Weon Seung Hyeon , Na Yuhyeon , Han Jiwoo , Lee Jeong Woo , Kim Hyung Joo , Park Saerom , Lee Sang Hyun
Published: March 2024

In this study, cellulose/Fe3O4 hydrogel microbeads were prepared through the sol–gel transition of a solvent-in-oil emulsion using various cellulose-dissolving solvents and soybean oil without surfactants. Particularly, 40% tetrabutylammonium hydroxide (TBAH) and 40% tetrabutylphosphonium hydroxide (TBPH) dissolved cellulose at room temperature and effectively dispersed Fe3O4, forming cellulose/Fe3O4 microbeads with an average diameter of ~15 µm. Additionally, these solvents co-dissolved cellulose and silk, allowing for the manufacture of cellulose/silk/Fe3O4 hydrogel microbeads with altered surface characteristics. Owing to the negatively charged surface characteristics, the adsorption capacity of the cellulose/silk/Fe3O4 microbeads for the cationic dye crystal violet was >10 times higher than that of the cellulose/Fe3O4 microbeads. When prepared with TBAH, the initial adsorption rate of bovine serum albumin (BSA) on the cellulose/silk/Fe3O4 microbeads was 18.1 times higher than that on the cellulose/Fe3O4 microbeads. When preparing TBPH, the equilibrium adsorption capacity of the cellulose/silk/Fe3O4 microbeads for BSA (1.6 g/g) was 8.5 times higher than that of the cellulose/Fe3O4 microbeads. The pH-dependent BSA release from the cellulose/silk/Fe3O4 microbeads prepared with TBPH revealed 6.1-fold slower initial desorption rates and 5.2-fold lower desorption amounts at pH 2.2 than those at pH 7.4. Cytotoxicity tests on the cellulose and cellulose/silk composites regenerated with TBAH and TBPH yielded nontoxic results. Therefore, cellulose/silk/Fe3O4 microbeads are considered suitable pH-responsive supports for orally administered protein pharmaceuticals.
Cholesterol-Bearing Polysaccharide-Based Nanogels for Development of Novel Immunotherapy and Regenerative Medicine
Authors: Adachi Tetsuya , Tahara Yoshiro , Yamamoto Kenta , Yamamoto Toshiro , Kanamura Narisato , Akiyoshi Kazunari , Mazda Osam
Published: March 2024

Novel functional biomaterials are expected to bring about breakthroughs in developing immunotherapy and regenerative medicine through their application as drug delivery systems and scaffolds. Nanogels are defined as nanoparticles with a particle size of 100 nm or less and as having a gel structure. Nanogels have a three-dimensional network structure of cross-linked polymer chains, which have a high water content, a volume phase transition much faster than that of a macrogel, and a quick response to external stimuli. As it is possible to transmit substances according to the three-dimensional mesh size of the gel, a major feature is that relatively large substances, such as proteins and nucleic acids, can be taken into the gel. Furthermore, by organizing nanogels as a building block, they can be applied as a scaffold material for tissue regeneration. This review provides a brief overview of the current developments in nanogels in general, especially drug delivery, therapeutic applications, and tissue engineering. In particular, polysaccharide-based nanogels are interesting because they have excellent complexation properties and are highly biocompatible.
Applications of Ground-Based Infrared Cameras for Remote Sensing of Volcanic Plumes
Authors: Prata Fred , Corradini Stefano , Biondi Riccardo , Guerrieri Lorenzo , Merucci Luca , Prata Andrew , Stelitano Dario
Published: March 2024

Ground-based infrared cameras can be used effectively and safely to provide quantitative information about small to moderate-sized volcanic eruptions. This study describes an infrared camera that has been used to measure emissions from the Mt. Etna and Stromboli (Sicily, Italy) volcanoes. The camera provides calibrated brightness temperature images in a broadband (8–14 µm) channel that is used to determine height, plume ascent rate and volcanic cloud/plume temperature and emissivity at temporal sampling rates of up to 1 Hz. The camera can be operated in the field using a portable battery and includes a microprocessor, data storage and WiFi. The processing and analyses of the data are described with examples from the field experiments. The updraft speeds of the small eruptions at Stromboli are found to decay with a timescale of ∼10 min and the volcanic plumes reach thermal equilibrium within ∼2 min. A strong eruption of Mt. Etna on 1 April 2021 was found to reach ∼9 km, with ascent speeds of 10–20 ms−1. The plume, mostly composed of the gases CO2, water vapour and SO2, became bent over by the prevailing winds at high levels, demonstrating the need for multiple cameras to accurately infer plume heights.
Hope Mediates Stress to Reduce Burden in Family Caregivers of Persons with Alzheimer’s Disease
Authors: McGee Jocelyn Shealy , Polson Edward C. , Myers Dennis R. , McClellan Angela , Meraz Rebecca , Ke Weiming , Zhao Holly Carlson
Published: March 2024

The experience of burden among family caregivers of persons with Alzheimer’s disease and other forms of dementia may be deleterious for their health and well-being. Little is known, however, about the degree to which internal positive psychological resources, such as hope, influence burden perceptions in this population. The current study is novel in that it examined how multiple dimensions of hope, hope–agency and hope–pathway, influenced burden in a sample of one-hundred and fifty-five family caregivers of persons with Alzheimer’s disease. The stress process model was used as the theoretical framework for variable specification in this study. Hope was conceptualized using Snyder and colleagues’ hope theory. Supporting our first hypothesis, we found that burden was negatively associated with hope–agency, r = −0.33, p < 0.001 and hope–pathway, r = −0.24, p < 0.01. Multiple regression was used to determine if hope–agency and hope–pathway independently contributed to burden. Analysis revealed that hope–agency but not hope–pathway influenced burden when other key variables were taken into consideration. Findings from mediation analysis affirmed that hope–agency had a small but significant mediation effect between stress and burden in this sample. This study provides evidence for the relevance of assessing multiple dimensions of hope when working with caregivers of persons with Alzheimer’s. Although replication studies are warranted, the current study confirms a need for further development and refinement of hope-bolstering behavioral interventions which may mediate stress and burden in this population. These interventions should be systematically assessed for efficacy and effectiveness via implementation studies in real-world settings.
‘[M]en’s Dwellings Were Thin Shells’: Uncertain Interiors and Domestic Violence in Ford Madox Ford’s War Writing
Authors: Saunders Max
Published: March 2024

The standard image of First World War soldiers is of men in open trenches: waiting to attack or be attacked; walking, sitting, sleeping, dead. Ford’s Parade’s End includes such scenes. But it is a different kind of image which predominates in his war writings and often produces its most memorable passages: images of houses or house-like shelters. The mind seeks protection in such structures; but they offer little security against the destructiveness outside, against the bombardments, gas, shrapnel, bullets. Ford wrote that the experience of war revealed: ‘men’s dwellings were thin shells that could be crushed as walnuts are crushed. … all things that lived and moved and had volition and life might at any moment be resolved into a scarlet viscosity seeping into the earth of torn fields […]’. This realisation works in two ways. The soldier’s sense of vulnerability provokes fantasies of home, solidity, sanctuary, while for the returnee soldier, domestic architecture summons war-visions of its own annihilation: ‘it had been revealed to you’, adds Ford, ‘that beneath Ordered Life itself was stretched, the merest film with, beneath it, the abysses of Chaos’. It is now customary to read war literature through trauma theory. Building on analyses of Ford’s use of repression, but drawing instead on object relations theory, I argue that Ford’s houses of war are not screen memories but images of the failure of repression to screen off devastating experiences. The abysses of Chaos can be seen through the screen or projected upon it. Attending to Ford’s handling of this theme enables a new reading of his war writing and a new case for its coherence. The essay will connect the opening of No More Parades (in a hut, during a bombardment) with the war poem ‘The Old Houses of Flanders’; the postwar poem A House; the memoir It Was the Nightingale (quoted above); and the otherwise puzzling, fictionalised memoir No Enemy, structured in terms of ‘Four Landscapes’ and ‘Certain Interiors’.
Pharmacovigilance and Appropriate Drug Use
Authors: Gozzo Lucia
Published: March 2024

This Special Issue collects updated evidence about pharmacovigilance and regulatory actions which can be translated into the change and control of prescribing behaviour [...]
Low Diet Quality and Nutritional Knowledge in Women with Endometriosis: A Pilot Study
Authors: Bogusz Angelika , Górnicka Magdalena
Published: March 2024

Endometriosis is a chronic gynecological disease characterized by ectopic endometrial tissue outside the uterus that can cause chronic pain, dysmenorrhea, fatigue, and infertility. The aim of this study was to assess diet quality and nutritional knowledge of women with endometriosis. A questionnaire was used to collect data on lifestyle, dietary habits and nutritional knowledge from 90 women. More than 80% of women with endometriosis (82.2%) confirmed that diet and lifestyle are related to the progression of endometriosis. After being diagnosed with endometriosis, 77.3% of respondents reported a change in their dietary habits and made various changes to their diet by increasing or eliminating the consumption of certain foods. The majority declared reducing pro-inflammatory products, increasing anti-inflammatory foods, including the consumption of vegetables and fruits, avoiding white/or red/or processed meat, and avoiding sweets. Nevertheless, diet quality as assessed by the pro-healthy diet index (pHDI-10) and the Mediterranean Diet Score (MDS) showed a low intensity of consumption of pro-healthy food (average pHDI-10 value 31.4%; MDS 7.55/14 points, p = 0.0001). Women with endometriosis reported lower than recommended consumption of fruits, vegetables, dairy products and whole grains. A higher percentage of healthy controls had a “good” level of nutritional knowledge than women with endometriosis. The results of our study highlight the need to improve diet quality and nutritional knowledge among women with endometriosis as well as developing targeted dietary recommendations to help improve well-being and reduce the pain symptoms of endometriosis.
Perceptions of Therapeutic Climbing for Patients with Multiple Sclerosis in Neurorehabilitation: A Qualitative Study
Authors: Schiffler Tobias , Reiter Eva , Kapan Ali , Kranz Gottfried , Kotzian Stefan Thomas , Haider Sandra
Published: March 2024

Background: Therapeutic climbing (TC) has emerged as a prospective rehabilitation approach for individuals with multiple sclerosis (MS). The existing literature primarily focuses on the physical and psychological benefits of TC across diverse populations but is limited concerning its application and efficacy for patients with MS. Objectives: This study aimed to delineate the experiences, subjective effects, and perceptions of both individuals with MS and therapists regarding TC, highlighting the potential benefits and challenges of this therapeutic approach. Methods: Using a qualitative design, semi-structured interviews were conducted with patients living with MS (N = 5) and therapists (N = 7) involved in TC sessions at a rehabilitation facility. The interviews were recorded, transcribed verbatim, and subjected to thematic qualitative text analysis. Results: Our analysis resulted in the identification of five main categories: (1) motivational factors, (2) training conditions, (3) training content, (4) observed effects, and (5) safety protocol. Our findings primarily centred around the motivational aspects of TC. Participants consistently reported experiencing feelings of accomplishment, success, enjoyment, and increased self-confidence. Furthermore, TC was often perceived as a comprehensive intervention, addressing endurance, strength, flexibility, neuromotor functions, cognition, and mental health while having a low-risk profile. However, due to the demanding nature of TC, careful fatigue management is crucial. This entails personalised intensity adjustments during sessions and coordinating TC with other physically demanding therapies when implementing TC within a rehabilitation environment. Conclusions: TC shows promise within MS rehabilitation and can be considered safe under certain framework conditions. This research sheds light on its potential benefits, facilitators, and barriers and provides insights for practical integration into rehabilitation programs.
Shifting Horizons: The Impact of Global Events on the Intention to Migrate of the Next Generation Romanian Nurses
Authors: Popescu Codruța Alina , Junjan Veronica , Buzoianu Anca Dana , Ciumăgeanu Mugur Daniel , Suciu Șoimița Mihaela
Published: March 2024

Background: This article investigates the determinants of the intention to migrate of nursing students at a major medical university in Romania and relates them to major international developments, specifically the Brexit referendum and the COVID-19 pandemic. Methods: An online survey about the intention to migrate was made available to nursing students at the University of Medicine and Pharmacy “Iuliu Hațieganu”, Cluj-Napoca, Romania, in 2016 (before Brexit) and again in 2016 (after Brexit), 2017, 2018, and 2021 and 2022 (during the pandemic). A total of 549 students responded (response rate: 84.6%). Results: Before the Brexit referendum, 62.6% of the respondents had a plan to seek employment abroad, whereas after the Brexit referendum, only 34.7% indicated that they had such a plan after graduation. Before the pandemic, 43.6% of the students expressed an intention to work abroad, while during the pandemic, only 19.8% had such plans. Conclusions: This study documented the effect of significant international developments—such as the Brexit referendum and the COVID-19 pandemic—on decreasing the intention to migrate. As expected, the change in preference for the UK as a destination country changed dramatically. Additionally, the study provides both theoretical and empirical insights into the types of and the consistency of preparation for migration of nursing students.