bluuebunny/crossref_metadata_2025 huggingface dataset:
Dietary Habits and Gaming Behaviors of Portuguese and Brazilian Esports Players
Authors: Ribeiro Fernando J. , Teixeira Raquel , Poínhos Rui
Published: September 2023

As the esports industry grows, marketing campaigns for fast food, soft drinks, alcoholic and energy drinks, and dietary supplements at related events intensify. Portuguese and Brazilian esports players’ dietary patterns remain unexplored. This study aimed to characterize the dietary and gaming habits of esports players. We applied an anonymous, open online survey to a convenience sample of esports players that included the PREDIMED and the Internet Gaming Disorder Scale. The survey was shared through email and social media platforms, including Facebook, Twitter, Instagram, Discord, WhatsApp, and Twitch. The sample (n = 579) was predominantly male (91.4%), averaged 26.1 (SD = 7.0) years, and 25.9 (SD = 5.5) kg/m2. Most reported a weak (53.7%) adherence to the Mediterranean diet. Almost a third (32.3%) consumed dietary supplements. Our sample presented a low adhesion to the Mediterranean dietary pattern, low consumption of fruit and vegetables, and high consumption of fast food, red and processed meat, soft drinks, and dietary supplements, including caffeine-based supplements. Dietary supplement consumption was related to a higher adhesion to the Mediterranean diet, and a higher level of professionalization and internet gaming disorder correlated with a lower adhesion. In conclusion, we infer that Portuguese and Brazilian esports players follow an unbalanced diet.
Empowering Future Physicians and Communities on Chicago’s South Side through a 3-Arm Culinary Medicine Program
Authors: Maker-Clark Geeta , McHugh Ashley , Shireman Hannah , Hernandez Valeria , Prasad Megha , Xie Tiffany , Parkhideh Arianna , Lockwood Carlin , Oyola Sonia
Published: September 2023

The purpose of this pilot evaluation was to assess the impact of a university culinary medicine program on participating medical students and community members, which included individuals managing chronic illness and public middle school students. A total of 59 program participants enrolled in the study. Data were obtained using pre- and post-course surveys and qualitative interviews from September 2021–July 2023. Results show increased confidence in medical students’ ability to provide nutrition counseling, with a high significance in their ability to provide counseling regarding chronic conditions. Participants managing chronic conditions demonstrated significant increases in self-reported confidence in their understanding of overall chronic disease management and care and in their kitchen skills, with participants who attended five or more classes having significantly higher means. Qualitative feedback from middle school students highlights their knowledge and willingness to try new foods after engaging with the curriculum. Findings add to the growing literature on culinary medicine and provide insight into the effectiveness of culinary medicine programming to increase knowledge and promote positive changes among future healthcare professionals and community members. However, more extensive research across a longer time span is needed to confirm the potential for sustained change.
Mechanistic Insight into the Early Stages of Toroidal Pore Formation by the Antimicrobial Peptide Smp24
Authors: Bertelsen Magnus , Lacey Melissa M. , Nichol Tim , Miller Keith
Published: September 2023

The antimicrobial peptide Smp24, originally derived from the venom of Scorpio maurus palmatus, is a promising candidate for further drug development. However, before doing so, greater insight into the mechanism of action is needed to construct a reliable structure–activity relationship. The aim of this study was to specifically investigate the critical early stages of peptide-induced membrane disruption. Single-channel current traces were obtained via planar patch-clamp electrophysiology, with multiple types of pore-forming events observed, unlike those expected from the traditional, more rigid mechanistic models. To better understand the molecular-level structures of the peptide-pore assemblies underlying these observed conductance events, molecular dynamics simulations were used to investigate the peptide structure and orientation both before and during pore formation. The transition of the peptides to transmembrane-like states within disordered toroidal pores occurred due to a peptide-induced bilayer-leaflet asymmetry, explaining why pore stabilization does not always follow pore nucleation in the experimental observations. To fully grasp the structure–activity relationship of antimicrobial peptides, a more nuanced view of the complex and dynamic mechanistic behaviour must be adopted.
Valencene, Nootkatone and Their Liposomal Nanoformulations as Potential Inhibitors of NorA, Tet(K), MsrA, and MepA Efflux Pumps in Staphylococcus aureus Strains
Authors: Oliveira-Tintino Cícera Datiane de Morais , Santana Jorge Ederson Gonçalves , Alencar Gabriel Gonçalves , Siqueira Gustavo Miguel , Gonçalves Sheila Alves , Tintino Saulo Relison , Menezes Irwin Rose Alencar de , Rodrigues João Pedro Viana , Gonçalves Vanessa Barbosa Pinheiro , Nicolete Roberto , Ribeiro-Filho Jaime , da Silva Teresinha Gonçalves , Coutinho Henrique Douglas Melo
Published: September 2023

Valencene and nootkatone are aromatic sesquiterpenes with known biological activities, such as antimicrobial, antioxidant, anti-inflammatory, and antitumor. Given the evidence that encapsulation into nanosystems, such as liposomes, could improve the properties of several compounds, the present study aimed to evaluate the activity of these sesquiterpenes in their isolated state or in liposomal formulations against strains of Staphylococcus aureus carrying efflux pumps. The broth microdilution method evaluated the antibiotic-enhancing activity associated with antibiotics and ethidium bromide (EtBr). The minimum inhibitory concentration was assessed in strains of S. aureus 1199B, IS-58, and RN4220, which carry the efflux proteins NorA, Tet(K), and MsrA. In tests with strain 1199B, valencene reduced the MIC of norfloxacin and EtBr by 50%, while the liposomal formulation of this compound did not show a significant effect. Regarding the strain IS-58, valencene, and its nanoformulation reduced norfloxacin MIC by 60.3% and 50%, respectively. In the non-liposomal form, the sesquiterpene reduced the MIC of EtBr by 90%. Against the RN4220 strain, valencene reduced the MIC of the antibiotic and EtBr by 99% and 93.7%, respectively. Nootkatone and its nanoformulation showed significant activity against the 1199B strain, reducing the EtBr MIC by 21.9%. Against the IS-58 strain, isolated nootkatone reduced the EtBr MIC by 20%. The results indicate that valencene and nootkatone potentiate the action of antibiotics and efflux inhibitors in strains carrying NorA, Tet(K), and MsrA proteins, which suggests that these sesquiterpenes act as efflux pump inhibitors in S. aureus. Therefore, further studies are needed to assess the impact of incorporation into liposomes on the activity of these compounds in vivo.
Fc-Engineered Therapeutic Antibodies: Recent Advances and Future Directions
Authors: Abdeldaim Dalia T. , Schindowski Katharina
Published: September 2023

Monoclonal therapeutic antibodies have revolutionized the treatment of cancer and other diseases. Fc engineering aims to enhance the effector functions or half-life of therapeutic antibodies by modifying their Fc regions. Recent advances in the Fc engineering of modern therapeutic antibodies can be considered the next generation of antibody therapy. Various strategies are employed, including altering glycosylation patterns via glycoengineering and introducing mutations to the Fc region, thereby enhancing Fc receptor or complement interactions. Further, Fc engineering strategies enable the generation of bispecific IgG-based heterodimeric antibodies. As Fc engineering techniques continue to evolve, an expanding portfolio of Fc-engineered antibodies is advancing through clinical development, with several already approved for medical use. Despite the plethora of Fc-based mutations that have been analyzed in in vitro and in vivo models, we focus here in this review on the relevant Fc engineering strategies of approved therapeutic antibodies to finetune effector functions, to modify half-life and to stabilize asymmetric bispecific IgGs.
Illustrations of Bessel Beams in s-Polarization, p-Polarization, Transverse Polarization, and Longitudinal Polarization
Authors: Rao A. Srinivasa
Published: September 2023

The generation of Bessel beams (BBs) and their characterization in a wide range of the electromagnetic spectrum are well established. The unique properties of BBs, including their non-diffracting and self-healing nature, make them efficient for use in material science and engineering technology. Here, I investigate the polarization components (s-polarization, p-polarization, transverse polarization, and longitudinal polarization) created in scalar BBs owing to their conical wave front. For emphasis, I provide a theoretical analysis to characterize potential experimental artifacts created in the four polarization components. Further, I provide a brief discussion on how to prevent these artifacts in scalar BBs. To my knowledge, for the first time, I can generate vector BBs in s-polarization and p-polarization via the superposition of two orthogonally polarized scalar BBs. This method of generation can provide the four well-known types of vector modes categorized in the V-point phase singularity vector modes. I suggest a suitable experimental configuration for realizing my theoretical results experimentally. The present analysis is very practical and beneficial for young researchers who seek to utilize BBs in light applications of modern science and technology.
Improving the False Alarm Capability of the Extended Maximum Average Correlation Height Filter
Authors: Kumar Rahul , Nishchal Naveen K. , Alfalou Ayman
Published: September 2023

The extended maximum average correlation height (EMACH) filter is a potent pattern-detection tool used in image processing and computer vision applications. This filter enhances the effectiveness of the maximum average correlation height (MACH) filter by adding more features and flexibility. Incorporating the benefits of wavelet decomposition, we updated the EMACH filter to enhance its performance. The updated filter offered improved accuracy, robustness, and flexibility in recognizing complex patterns and objects in images with varying lighting conditions, noise levels, and occlusions. To verify the results’ consistency and compare their performance with that of the MACH filter and EMACH filter, performance metrics like peak-to-correlation energy, peak-to-sidelobe ratio, signal-to-noise ratio, and discrimination ratio were computed. Through numerical and experimental studies, we found that the proposed filter enhances the identification rate and decreases the number of false alarms.
Effect of Corrosive Environment on the High-Cycle Fatigue Behavior of Reinforced Concrete by Epoxy Resin: Experimental Study
Authors: Reza Kashyzadeh Kazem
Published: September 2023

Large engineering structures made of various materials, including concrete (e.g., bridges, dams, buildings, and multilevel car parks), steel (e.g., power towers, ships, and wind turbines), or others, are often subjected to severe vibration, dynamic, and cyclic loads, which lead to crack initiation, crack growth, and finally structural failure. One of the effective techniques to increase the fatigue life of such structures is the use of reinforced materials. In the meantime, environmental factors, such as corrosion caused by corrosive environments, also affect the fatigue behavior of materials. Therefore, the main purpose of this paper is to study the influence of corrosive environment on the high-cycle fatigue (HCF) behavior of concrete reinforced by epoxy resin. For this purpose, five corrosive environments with different intensities, including fresh air, water: W, sea water: SW, acidic: AC, and alkaline: AL, were considered and the laboratory samples of conventional concrete (CC) and polymer concrete (PC) were immersed in them for one month. Next, axial fatigue tests were performed under compressive–compressive loading with a frequency of 3 Hz on cylindrical specimens. Moreover, to achieve reliable results, for each stress amplitude, the fatigue test was repeated three times, and the average number of cycles to failure was reported as the fatigue lifetime. Finally, the stress–life cycle (S-N) curves of different states were compared. The results showed that polymer concrete can resist well in corrosive environments and under cyclic loads compared to the conventional concrete, and in other words, the epoxy resin has performed its task well as a reinforcer. The results of fatigue tests show that the load bearing range of 10 tons by CC has reached about 18 tons for PC, which indicates an 80% increase in fatigue strength. Meanwhile, the static strength of samples in the vicinity of fresh air has only improved by 12%.
Rheological and Physical Properties Affected by the Thermal Processing of Fruit: A Bibliometric Analysis
Authors: Vidigal Igor G. , Melo Mariana P. , Da Rós Patrícia C. M. , Carvalho Ana K. F. , Alencar Severino M. , Ferreira Ana L. G.
Published: September 2023

This work describes a bibliometric analysis of recent articles addressing the applications of thermal processing in foods, as well as its effect on their physicochemical and rheological properties. The analysis involved utilizing the software tools VOSviewer and RStudio to map the knowledge domain. Initially, 665 articles from peer-reviewed journals were retrieved, but only 92 (13.8%) of them discussed thermal processing related to fruit applications and were published in indexed journals. However, this number was further narrowed down to 35 (5.3%) articles specifically focused on the target subject. A rigorous appraisal of these 35 articles allowed it to be classified according to its aim, kind of fruit used, thermal processing treatment, and its rheological, physicochemical, and other properties. The leading countries in the general area of food thermal processing research according to documents and citations were China, USA, Brazil, India and Spain. It is important to highlight that conventional thermal processing continues to be investigated for applications in fruits; on the other hand, it is expected that the use of unconventional or emerging technologies will bring significant advances to the food industry in the future.
Comparisons of the Performance of Novel Lightweight Three-Dimensional Hybrid Composites against GLARE Fiber–Metal Laminate
Authors: Wang Ke , Taheri Farid
Published: September 2023

The objective of the work presented in this paper is to overcome several major shortcomings of the recently introduced 3D composites (3DCs) and their fiber–metal-laminate renditions (3DFMLs). A new class of lightweight, stiff, and resilient three-dimensional hybrid composites (3DHCs) is introduced in this study, referred to as “inserts enhanced 3D hybrid composites” (IE3DHCs). The performances of all configurations were characterised by conducting three-point flexural tests using a span-to-thickness ratio of 32:1. The flexural performance of 3DFMLs with different core thicknesses was first compared using GLARE-3/2-0.4 as a baseline, revealing the superior performance of 3DFMLs; the optimal performance was exhibited by 3DFML with a 3 mm 3DC core. However, the lower ductility of 3DFMLs, as well as their poorly controlled and time-consuming fabrication process were recognized. The newly developed materials (IE3DHCs) had a comparatively simpler fabrication processes with significantly higher quality control. More importantly, IE3DHCs exhibited an approximately 160% improvement in ductility and as much as a 250% improved design strength compared to 3DFMLs. These findings showcase the promising potential of IE3DHCs for future research and real-world applications. Additionally, robust finite element models were developed to simulate flexural tests and optimize future renditions of the IE3DHCs.
Compassionate Imagination/Re-Existing/Hope: Embracing a Deliberate Turn to the Promptings of the Spirit for a Synodal Church
Authors: Aihiokhai SimonMary Asese
Published: September 2023

Pope Francis invites the Church to turn to the peripheries of society as the loci of saturated vision and grace, if it is to embody the grace of synodality. This work makes a claim that a synodal church that turns to the peripheries of the world ought to embody three markers that exude the fullness of being church in the world. These include the praxes of compassionate imagination, re-existing as a Pentecost church, and being an embodiment of ritualized hope for all. A turn to the Spirit-centered gift of compassionate imagination is itself a deliberate embrace of the messiness of life where the beauty of the sound of God’s voice is heard and encountered. It involves an embrace of the summons of the Spirit that is found at the peripheries of the world and to embody abundant life for all in a manner that upends the dynamics of empire manipulations. To do this effectively, the Church ought to become an embodiment of hope in all its ways of being in the world. An embodiment of hope that is grounded in solidarity with others must necessarily entail the praxis of suspension of judgment.
Research on the Shape Classification Method of Rural Homesteads Based on Parcel Scale—Taking Yangdun Village as an Example
Authors: Zhang Jie , Fan Beilei , Li Hao , Liu Yunfei , Wei Ren , Liu Shengping
Published: September 2023

The basic information survey on homesteads requires understanding the shape of homesteads, and the shape of the homesteads based on the spatial location can reflect information such as their outline and regularity, but the current shape classification of rural homesteads at the parcel scale lacks analytical methods. In this study, we endeavor to explore a classification model suitable for characterizing homestead shapes at the parcel scale by assessing the impact of various research methods. Additionally, we aim to uncover the evolutionary patterns in homestead shapes. The study focuses on Yangdun Village, located in Deqing County, Zhejiang Province, as the research area. The data utilized comprise Google Earth satellite imagery and a vector layer representing homesteads at the parcel scale. To classify the shapes of homesteads and compare classification accuracy, we employ a combination of methods, including the fast Fourier transform (FFT), Hu invariant moments (HIM), the Boyce and Clark shape index (BCSI), and the AlexNet model. Our findings reveal the following: (1) The random forest method, when coupled with FFT, demonstrates the highest effectiveness in identifying the shape categories of homesteads, achieving an average accuracy rate of 88.6%. (2) Combining multiple methods does not enhance recognition accuracy; for instance, the accuracy of the FFT + HIM combination was 88.4%. (3) The Boyce and Clark shape index (BCSI) proves unsuitable for classifying homestead shapes, yielding an average accuracy rate of only 58%. Furthermore, there is no precise numerical correlation between the homestead category and the shape index. (4) It is noteworthy that over half of the homesteads in Yangdun Village exhibit rectangular-like shapes. Following the “homesteads reform”, square-like homesteads have experienced significant vacating, resulting in a mixed arrangement of homesteads overall. The research findings can serve as a methodological reference for the investigation of rural homestead shapes. Proficiency in homestead shape classification holds significant importance in the realms of information investigation, regular management, and layout optimization of rural land.
How Could Sensor-Based Measurement of Physical Activity Be Used in Cardiovascular Healthcare?
Authors: Hughes Megan E. , Chico Timothy J. A.
Published: September 2023

Physical activity and cardiovascular disease (CVD) are intimately linked. Low levels of physical activity increase the risk of CVDs, including myocardial infarction and stroke. Conversely, when CVD develops, it often reduces the ability to be physically active. Despite these largely understood relationships, the objective measurement of physical activity is rarely performed in routine healthcare. The ability to use sensor-based approaches to accurately measure aspects of physical activity has the potential to improve many aspects of cardiovascular healthcare across the spectrum of healthcare, from prediction, prevention, diagnosis, and treatment to disease monitoring. This review discusses the potential of sensor-based measurement of physical activity to augment current cardiovascular healthcare. We highlight many factors that should be considered to maximise the benefit and reduce the risks of such an approach. Because the widespread use of such devices in society is already a reality, it is important that scientists, clinicians, and healthcare providers are aware of these considerations.
Display-Semantic Transformer for Scene Text Recognition
Authors: Yang Xinqi , Silamu Wushour , Xu Miaomiao , Li Yanbing
Published: September 2023

Linguistic knowledge helps a lot in scene text recognition by providing semantic information to refine the character sequence. The visual model only focuses on the visual texture of characters without actively learning linguistic information, which leads to poor model recognition rates in some noisy (distorted and blurry, etc.) images. In order to address the aforementioned issues, this study builds upon the most recent findings of the Vision Transformer, and our approach (called Display-Semantic Transformer, or DST for short) constructs a masked language model and a semantic visual interaction module. The model can mine deep semantic information from images to assist scene text recognition and improve the robustness of the model. The semantic visual interaction module can better realize the interaction between semantic information and visual features. In this way, the visual features can be enhanced by the semantic information so that the model can achieve a better recognition effect. The experimental results show that our model improves the average recognition accuracy on six benchmark test sets by nearly 2% compared to the baseline. Our model retains the benefits of having a small number of parameters and allows for fast inference speed. Additionally, it attains a more optimal balance between accuracy and speed.
Effect of Forearm Postures and Elbow Joint Angles on Elbow Flexion Torque and Mechanomyography in Neuromuscular Electrical Stimulation of the Biceps Brachii
Authors: Uwamahoro Raphael , Sundaraj Kenneth , Feroz Farah Shahnaz
Published: September 2023

Neuromuscular electrical stimulation plays a pivotal role in rehabilitating muscle function among individuals with neurological impairment. However, there remains uncertainty regarding whether the muscle’s response to electrical excitation is affected by forearm posture, joint angle, or a combination of both factors. This study aimed to investigate the effects of forearm postures and elbow joint angles on the muscle torque and MMG signals. Measurements of the torque around the elbow and MMG of the biceps brachii (BB) muscle were conducted in 36 healthy subjects (age, 22.24 ± 2.94 years; height, 172 ± 0.5 cm; and weight, 67.01 ± 7.22 kg) using an in-house elbow flexion testbed and neuromuscular electrical stimulation (NMES) of the BB muscle. The BB muscle was stimulated while the forearm was positioned in the neutral, pronation, or supination positions. The elbow was flexed at angles of 10°, 30°, 60°, and 90°. The study analyzed the impact of the forearm posture(s) and elbow joint angle(s) on the root-mean-square value of the torque (TQRMS). Subsequently, various MMG parameters, such as the root-mean-square value (MMGRMS), the mean power frequency (MMGMPF), and the median frequency (MMGMDF), were analyzed along the longitudinal, lateral, and transverse axes of the BB muscle fibers. The test–retest interclass correlation coefficient (ICC21) for the torque and MMG ranged from 0.522 to 0.828. Repeated-measure ANOVAs showed that the forearm posture and elbow flexion angle significantly influenced the TQRMS (p < 0.05). Similarly, the MMGRMS, MMGMPF, and MMGMDF showed significant differences among all the postures and angles (p < 0.05). However, the combined main effect of the forearm posture and elbow joint angle was insignificant along the longitudinal axis (p > 0.05). The study also found that the MMGRMS and TQRMS increased with increases in the joint angle from 10° to 60° and decreased at greater angles. However, during this investigation, the MMGMPF and MMGMDF exhibited a consistent decrease in response to increases in the joint angle for the lateral and transverse axes of the BB muscle. These findings suggest that the muscle contraction evoked by NMES may be influenced by the interplay between actin and myosin filaments, which are responsible for muscle contraction and are, in turn, influenced by the muscle length. Because restoring the function of limbs is a common goal in rehabilitation services, the use of MMG in the development of methods that may enable the real-time tracking of exact muscle dimensional changes and activation levels is imperative.
Gold Nanoparticle-Based Colorimetric Sensors: Properties and Application in Detection of Heavy Metals and Biological Molecules
Authors: Kusuma Sri Agung Fitri , Harmonis Jacko Abiwaqash , Pratiwi Rimadani , Hasanah Aliya Nur
Published: September 2023

During the last decade, advances have been made in nanotechnology using nanomaterials, leading to improvements in their performance. Gold nanoparticles (AuNPs) have been widely used in the field of sensor analysis and are also combined with certain materials to obtain the desired characteristics. AuNPs are commonly used as colorimetric sensors in detection methods. In developing an ideal sensor, there are certain characteristics that must be met such as selectivity, sensitivity, accuracy, precision, and linearity, among others. Various methods for the synthesis of AuNPs and conjugation with other components have been carried out in order to obtain good characteristics for their application. AuNPs can be applied in the detection of both heavy metals and biological molecules. This review aimed at observing the role of AuNPs in its application. The synthesis of AuNPs for sensors will also be revealed, along with their characteristics suitable for this role. In the application method, the size and shape of the particles must be considered. AuNPs used in heavy metal detection have a particle size of around 15–50 nm; in the detection of biological molecules, the particle size of AuNPs used is 6–35 nm whereas in pharmaceutical compounds for cancer treatment and the detection of other drugs, the particle size used is 12–30 nm. The particle sizes did not correlate with the type of molecules regardless of whether it was a heavy metal, biological molecule, or pharmaceutical compound but depended on the properties of the molecule itself. In general, the best morphology for application in the detection process is a spherical shape to obtain good sensitivity and selectivity based on previous studies. Functionalization of AuNPs with conjugates/receptors can be carried out to increase the stability, sensitivity, selectivity, solubility, and plays a role in detecting biological compounds through conjugating AuNPs with biological molecules.
A Digital-Twin Framework for Predicting the Remaining Useful Life of Piezoelectric Vibration Sensors with Sensitivity Degradation Modeling
Authors: Fu Chengcheng , Gao Cheng , Zhang Weifang
Published: September 2023

Piezoelectric vibration sensors (PVSs) are widely applied to vibration detection in aerospace engines due to their small size, high sensitivity, and high-temperature resistance. The precise prediction of their remaining useful life (RUL) under high temperatures is crucial for their maintenance. Notably, digital twins (DTs) provide enormous data from both physical structures and virtual models, which have potential in RUL predictions. Therefore, this work establishes a DT framework containing six modules for sensitivity degradation detection and assessment on the foundation of a five-dimensional DT model. In line with the sensitivity degradation mechanism at high temperatures, a DT-based RUL prediction was performed. Specifically, the PVS sensitivity degradation was described by the Wiener–Arrhenius accelerated degradation model based on the acceleration factor constant principle. Next, an error correction method for the degradation model was proposed using real-time data. Moreover, parameter updates were conducted using a Bayesian method, based on which the RUL was predicted using the first hitting time. Extensive experiments on distinguishing PVS samples demonstrate that our model achieves satisfying performance, which significantly reduces the prediction error to 8 h. A case study was also conducted to provide high RUL prediction accuracy, which further validates the effectiveness of our model in practical use.
Data-Driven Network Analysis for Anomaly Traffic Detection
Authors: Alam Shumon , Alam Yasin , Cui Suxia , Akujuobi Cajetan
Published: September 2023

Cybersecurity is a critical issue in today’s internet world. Classical security systems, such as firewalls based on signature detection, cannot detect today’s sophisticated zero-day attacks. Machine learning (ML) based solutions are more attractive for their capabilities of detecting anomaly traffic from benign traffic, but to develop an ML-based anomaly detection system, we need meaningful or realistic network datasets to train the detection engine. There are many public network datasets for ML applications. Still, they have limitations, such as the data creation process and the lack of diverse attack scenarios or background traffic. To create a good detection engine, we need a realistic dataset with various attack scenarios and various types of background traffic, such as HTTPs, streaming, and SMTP traffic. In this work, we have developed realistic network data or datasets considering various attack scenarios and diverse background/benign traffic. Furthermore, considering the importance of distributed denial of service (DDoS) attacks, we have compared the performance of detecting anomaly traffic of some classical supervised and our prior developed unsupervised ML algorithms based on the convolutional neural network (CNN) and pseudo auto-encoder (AE) architecture based on the created datasets. The results show that the performance of the CNN-Pseudo-AE is comparable to that of many classical supervised algorithms. Hence, the CNN-Pseudo-AE algorithm is promising in actual implementation.
School-to-Work Transitions under Unequal Conditions: A Regionalised Perspective on the ‘Discouraged Worker’ Hypothesis
Authors: Wessling Katarina , Hartung Andreas , Hillmert Steffen
Published: September 2023

Against the background of considerable regional disparities, we test the “discouraged worker” hypothesis, which postulates that poor regional socioeconomic conditions foster students’ aspirations for more education, ultimately leading to an extension of their educational careers. Our two dependent variables are (i) whether students aspire to prolong their general school careers or enter vocational training and (ii) whether they in fact prolong their school careers. To that end, we link regional-level data to individual-level data from the German National Educational Panel Study (NEPS). To describe regional conditions adequately, we illustrate geographical patterns in socioeconomic conditions relevant for school-to-work transitions (e.g., labour market conditions and availability of vocational training opportunities). We compare two operationalisations of regional areas: (i) administrative districts and (ii) public transport areas. Our results show that students are more likely to aspire to prolong their general school careers in socioeconomically deprived regions. Moreover, the effects are stronger when school-based vocational training opportunities are scarce. The effects on actual transitions vary according to the school track attended and the availability of educational alternatives in the general school system. Finally, the operationalisation of regions varies regarding effect sizes and corresponding levels of statistical significance.
Factors Influencing Cassava Sales and Income Generation among Cassava Producers in South Africa
Authors: Manganyi Bernard , Lubinga Moses Herbert , Zondo Bhekani , Tempia Ndiadivha
Published: September 2023

Assessing the factors influencing cassava sales and income generation among South African cassava farmers is critical for informed decision-making, policy formulation, targeted interventions, and the long-term growth of the cassava value chain. By recognizing these elements, stakeholders can improve market efficiency, increase income opportunities, reduce poverty, promote rural development, and nurture a sustainable and inclusive cassava value chain. This study examines factors that influence cassava sales and positive income generation along the cassava value chain. Using a simple sample method, we collected data from 240 farmers in the South African provinces of KwaZulu-Natal, Limpopo, and Mpumalanga. A logistic regression was used to investigate the impact of explanatory variables on the probability of selling cassava and earning a positive income. Findings show that having access to output markets, owning livestock, being a female, and having sizable land under cassava production enhances the possibility of cassava sales and generating a positive income. In contrast, age has a detrimental influence on cassava sales, while access to extension services and harvesting for household food consumption exhibited no substantial effects. The findings underline the importance of market access, gender equality, integrating livestock farming among cassava farmers, support for elderly farmers, and sustainable agricultural practices. To ensure the long-term positive generation of income by farmers and the sustainability of the cassava value chain, policymakers and stakeholders must collaborate and execute policies and interventions that address these essential concerns.
Relationship among Plant Functional Groups, Soil, and Moisture as Basis for Wetland Conservation
Authors: Aslan Fevziye , Mata-González Ricardo , Prado-Tarango David Eduardo , Hovland Matthew , Stemke Jenessa , Ochoa Carlos G.
Published: September 2023

This study characterized the relationship between plant species, soil, and moisture dynamics in the Willamette Valley (Oregon, USA) to obtain a base framework for wetland conservation and restoration. We identified 24 dominant plant species, including the exotic invasive Dipsacus fullonum, distributed throughout the wetland. Plant community analysis indicated that (1) soil moisture during the dry season (August to October) and (2) soil bulk density were the major abiotic drivers of plant community structure. Water potential measurements confirmed the community analysis. Juncus (rush) species appeared to be more tolerant to drought than other typical wetland species. Therefore, dryer conditions due to climate change or water diversion may favor rushes’ persistence. We also found that the dominance of D. fullonum may also negatively affect the native plant species’ survival, which highlights the need for proper management practices. To prevent further vegetation deterioration in sensitive wetland areas, we recommend avoiding hydric diversions to maintain the water supply, exploring manners of controlling invasive species, and preventing livestock grazing. The results of this study contribute to foundational and practical knowledge concerning the influence of soil conditions and moisture availability on the physiological response and distribution of wetland plant species that is required for conservation and management.
The Use of Precipitation in the Cities of the Future—Problems, Barriers and Challenges
Authors: Bąk Joanna
Published: September 2023

Due to climate change and its effects, it becomes indispensable to maximise the use of rainwater in cities. In order to effectively carry out this process in cities, it is essential to organise information and knowledge, and plan an appropriate action strategy. It is necessary to identify not only the strengths and opportunities for introducing solutions to collect and use rainwater in cities, but also the weaknesses and threats. The article presents a SWOT analysis (Strengths—Weaknesses—Opportunities—Threats) for the use of rainwater in the city, compiling comprehensive information and knowledge on this topic. Environmental, social and economic aspects have been taken into account. On its basis, the possibilities, as well as problems, barriers and limitations in the field of introducing the use of rainwater into the fabric of the cities of the future were discussed. The greatest challenges in this area were also identified, providing a basis for further planning of activities.
Plane Wave Reflection in Nonlocal Semiconducting Rotating Media with Extended Model of Three-Phase-Lag Memory-Dependent Derivative
Authors: Singh Kulvinder , Kaur Iqbal , Craciun Eduard-Marius
Published: September 2023

The present paper examines the plane wave’s reflection in a semiconducting magneto-thermoelastic rotating nonlocal half-space medium, which is stress-free, thermally insulated, and with a diffusion transport process at the boundaries. The novel mathematical model of extended three-phase-lag (TPL) heat transfer law with memory-dependent derivative (MDD) and two temperatures (2T) is used to model this problem. The investigated 2D model shows that a longitudinal wave, when striking the surface z = 0, produces four reflected waves. The characteristics of the plane wave such as phase velocity, amplitude ratios, penetration depth, attenuation-coefficients-specific loss, and energy ratios of various reflected waves are obtained. The symmetric and asymmetric tensor representations of all physical quantities are used. The effects of various theories of thermoelasticity, two temperatures, and rotation on wave characteristics are illustrated graphically using MATLAB software.
Identifying the Relationship between PM2.5 and Hyperlipidemia Using Mendelian Randomization, RNA-seq Data and Model Mice Subjected to Air Pollution
Authors: Zhao Yixue , Shen Geng , Lin Xipeng , Zhang Long , Fan Fangfang , Zhang Yan , Li Jianping
Published: September 2023

Air pollution is an important public health problem that endangers human health. However, the casual association and pathogenesis between particles < 2.5 μm (PM2.5) and hyperlipidemia remains incompletely unknown. Mendelian randomization (MR) and transcriptomic data analysis were performed, and an air pollution model using mice was constructed to investigate the association between PM2.5 and hyperlipidemia. MR analysis demonstrated that PM2.5 is associated with hyperlipidemia and the triglyceride (TG) level in the European population (IVW method of hyperlipidemia: OR: 1.0063, 95%CI: 1.0010–1.0118, p = 0.0210; IVW method of TG level: OR: 1.1004, 95%CI: 1.0067–1.2028, p = 0.0350). Mest, Adipoq, Ccl2, and Pcsk9 emerged in the differentially expressed genes of the liver and plasma of PM2.5 model mice, which might mediate atherosclerosis accelerated by PM2.5. The studied animal model shows that the Paigen Diet (PD)-fed male LDLR−/− mice had higher total cholesterol (TC), TG, and CM/VLDL cholesterol levels than the control group did after 10 times 5 mg/kg PM2.5 intranasal instillation once every three days. Our study revealed that PM2.5 had causality with hyperlipidemia, and PM2.5 might affect liver secretion, which could further regulate atherosclerosis. The lipid profile of PD-fed Familial Hypercholesterolemia (FH) model mice is more likely to be jeopardized by PM2.5 exposure.
Feature-Based Classification Neural Network for Kepler Light Curves from Quarter 1
Authors: Yan Jing , Wu Huanli , Qiu Bo , Luo A-Li , Ren Fuji
Published: September 2023

Determining the types of light curves has been a challenge due to the massive amount of light curves generated by large sky survey programs. In the literature, the light curves classification methods are overly dependent on the imaging quality of the light curves, so the classification results are often poor. In this paper, a new method is proposed to classify the Kepler light curves from Quarter 1, and consists of two parts: feature extraction and classification neural network construction. In the first part, features are extracted from the light curves using three different methods, and then the features are fused (transform domain features, light curve flux statistics features, and Kepler photometry features). In the second part, a classification neural network RLNet, based on Residual Network (ResNet) and Long Short Term Memory (LSTM), is proposed. The experiment involved the classification of approximately 150,000 Kepler light curves into 11 categories. The results show that this new method outperforms seven other methods in all metrics, with an accuracy of 0.987, a minimum recall of 0.968, and a minimum precision of 0.970 under all categories.
Epigallocatechin Gallate-Modified Silver Nanoparticles Show Antiviral Activity against Herpes Simplex Type 1 and 2
Authors: Krzyzowska Malgorzata , Janicka Martyna , Chodkowski Marcin , Patrycy Magdalena , Obuch-Woszczatyńska Oliwia , Tomaszewska Emilia , Ranoszek-Soliwoda Katarzyna , Celichowski Grzegorz , Grobelny Jaroslaw
Published: September 2023

(1) Background: Epigallocatechin gallate (EGCG) has been recognized as a flavonoid showing antiviral activity against various types of DNA and RNA viruses. In this work, we tested if EGCG-modified silver nanoparticles (EGCG-AgNPs) can become novel microbicides with additional adjuvant properties to treat herpes infections. (2) Methods: The anti-HSV and cytotoxic activities of EGCG-AgNPs were tested in human HaCaT and VK-2-E6/E7 keratinocytes. HSV-1/2 titers and immune responses after treatment with EGCG-AgNPs were tested in murine models of intranasal HSV-1 infection and genital HSV-2 infection. (3) Results: EGCG-AgNPs inhibited attachment and entry of HSV-1 and HSV-2 in human HaCaT and VK-2-E6/E7 keratinocytes much better than EGCG at the same concentration. Infected mice treated intranasally (HSV-1) or intravaginally (HSV-2) with EGCG-AgNPs showed lower virus titers in comparison to treatment with EGCG alone. After EGCG-AgNPs treatment, mucosal tissues showed a significant infiltration in dendritic cells and monocytes in comparison to NaCl-treated group, followed by significantly better infiltration of CD8+ T cells, NK cells and increased expression of IFN-α, IFN-γ, CXCL9 and CXCL10. (4) Conclusions: Our findings show that EGCG-AgNPs can become an effective novel antiviral microbicide with adjuvant properties to be applied upon the mucosal tissues.
Geothermal Water Exploration of the Maoyanhe Hot Spring Scenic Spot in Zhangjiajie Using the Natural Electric Field Frequency Selection Method
Authors: Lu Yulong , Ding Haiyang , Yang Tianchun , Liu Yang
Published: September 2023

Natural electric field frequency selection method was proposed by Chinese scholars in the 1980s on the basis of imitating the field observation method of the magnetotelluric method (MT). It can only measure the magnetotelluric field components of one or several frequencies on the surface to determine the existence of underground geological bodies. This method has played an important role in shallow groundwater exploration. This paper mainly discusses the application of frequency selection method in the exploration of underground hot water in the Maoyanhe Scenic spot, Zhangjiajie City, Hunan Province, in order to illustrate the effectiveness of the frequency selection method in water exploration. According to the situation of the construction site, nearly 20 geophysical prospecting survey lines of varying lengths were laid flexibly within the red line of the Maoyan River Scenic Spot. Firstly, three-frequency (170 Hz, 67 Hz and 25 Hz) measurements were carried out on each survey line to preliminarily determine the possible horizontal location of underground hot water. Secondly, in the vicinity of the low potential anomaly of the three-frequency curve, the fine measurement by using multi-frequency bipolar profile method was further carried out. The specific distribution of underground hot water was determined based on the principle of frequency domain sounding and the static effect characteristics of the electromagnetic method so as to provide a scientific basis for the drilling layout. Finally, the reliability of the frequency selection method is verified by two verification boreholes. The results indicate that the frequency selection method is one of the effective geophysical exploration methods in groundwater exploration.
A Study of the Recovery of Phosphorus from Aqueous Solutions Using Zr-Doped MgMn-Layered Double Hydroxide (MgMnZr-LDH)
Authors: Zhang Haixin , Chōnan Ayako , Zou Ming , Bat-Amgalan Munkhpurev , Miyamoto Naoto , Kano Naoki , Zhang Shuang
Published: September 2023

A new type of adsorbent, Zr-doped three metal element adsorbent MgMnZr-LDH(3), was synthesized using Mg(NO3)2·6H2O, Mn(NO3)2·6H2O, and ZrCl2O·8H2O and employed to adsorb phosphate ions from an aqueous solution. The materials were characterized using X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), an X-ray diffractometer (XRD), thermogravimetric–differential thermal analysis (TG−DTA), Fourier-transform infrared spectroscopy (FT-IR), and nitrogen adsorption/desorption experiments (N2 Brunauer–Emmett–Teller (BET)). The influences of the contact time (0~48 h), pH value (3, 5, 7, and 9), initial concentration (0~50 μg/dm3), and temperature (15, 25, 35, and 45 °C) on the adsorption of phosphate (P) ions were studied to investigate P adsorption from wastewater. The results showed that the Zr-modified three metal element adsorbent MgMnZr-LDH(3) had a superior adsorption effect on phosphate anions, which was about 2.18 times greater than that of the two metal element adsorbent MgMn-LDH(3). The MgMnZr-LDH(3) adsorption process conformed to the pseudo-second-order model. The adsorption isotherm can generally be described more satisfactorily for P using the Langmuir isotherm, and the maximum adsorption capacity of P was shown to be 30.8 mg/g. Under optimum experimental conditions (contact time: 24 h; pH 8; and temperature: 25 °C), the effect of competing anions (Cl−, SO42−, and NO3−) on the adsorption of phosphate ions was also investigated, and only the phosphate ions showed high selectivity. The good adsorption performance of MgMnZr-LDH(3) towards phosphate (P) ions was attributed to the anion exchange and complex reaction.
Neo-liberal Transgressions in the Contemporary Film Industry: Classical Music and Dehumanised Musical Bodies in the Films The Perfection (2018) and Nocturne (2020)
Authors: Buljančević Rastko
Published: September 2023

The aim of this paper is to examine what I call “dehumanised musical bodies” in the psychological horror films The Perfection and Nocturne. These multi-deficient neo-liberal bodies are exposed to the stereotypical, strikingly negative image of the sophisticated world of art. Particular attention is paid to the provocative treatment of classical music, focusing on the non-normative institutional practices and ethical reconfiguration of their representatives. A strikingly raw form of musical dehumanisation is found in the film The Perfection, whose soundtrack combines ambient sounds of terror and popular tunes with great classical works by Handel, Mozart and Casadesus. The film Nocturne, on the other hand, offers a more contemplative audio-visual aesthetic with a deceptive hierarchisation of the classical music repertoire. Mozart’s music is frivolously devalued, while Saint-Saëns’ “Piano Concerto No. 2 in G Minor” is used as a narrative device for a destructive manifestation of power that leads to an avalanche of conflict between the sisters. Such explicit play with the classical music signifiers drastically deviates from conventional musical protocols and leads to alienation and, ultimately, transgressive neo-liberal dehumanisation of contemporary musicians.