bluuebunny/crossref_metadata_2025 huggingface dataset:
Long-Haul Truck Drivers’ Perceptions of Truck Stops and Rest Areas: A Focus on Health and Wellness
Authors: Lise Fernanda , Shattell Mona , Garcia Raquel Pötter , Rodrigues Kethelyn Costa , de Ávila Wilson Teixeira , Garcia Flávia Lise , Schwartz Eda
Published: July 2024

The work and life routine of long-haul truck drivers involves the use of truck stops and rest areas to meet their basic human needs. These extensions of their workspaces while on the road, do not always offer adequate physical structures and services that drivers need for optimal health. Aim: To evaluate long-haul truck drivers’ perceptions about the services of food, safety, physical activity, rest and personal hygiene offered at truck stops and rest areas in Brazil. Method: Quantitative study conducted with long-haul truck drivers from the Southern region of Brazil. For data collection, a sociodemographic questionnaire and a Likert scale on food, rest, personal hygiene, safety and physical activity services were used, offered in general at the truck stops and rest areas along Brazilian roads, from March to August 2023. The data were analyzed with simple frequency descriptive statistics. Results: 175 long-haul truck drivers participated, 70.29% declared that the services of the truck stop and rest areas were charged; more than half (53.59%) of the professionals evaluated the rest service as “good” or “excellent”; the food services, was “good” or “excellent” for 42.24% of the drivers. The spaces for physical activities were the worst evaluated as “bad” or “terrible”, by 41.61%, followed by bathroom service (28.42%) and safety (34.24%), evaluated as “bad” or “terrible”. Conclusions: In the perception of long-haul truck drivers, the rest and feeding services had better evaluations, on the other hand, the services of bathroom, safety and physical activity presented worse evaluations. The perception of drivers demonstrates the lack of investments to improve basic services such as personal hygiene, safe environment and physical exercises, fundamental to the health of the worker, aiming to reduce vulnerability, sedentary lifestyle, and meeting the basic human needs of long-haul truck drivers.
A Novel Approach Using Fuzzy TOPSIS and COPRAS for Analyzing the Causes of Divorce in India
Authors: Nagalakshmi T. , Selvaraj A. , Rosary Maria Singaraj , Ali Nasir
Published: July 2024

In India, the divorce rate is rising year after year. Divorces are thought to have increased by more than a factor of two during the past two decades. India has great cultural diversity, and each of its states has something unique to offer. The divorce rate in India, which differs from state to state, is among the most frequently discussed subjects. More than 30% of marriages end in divorce in big cities like Delhi, Mumbai, Chennai, and Bangalore. Divorce applications have nearly tripled in the past few years in cities like Delhi, Bangalore, Mumbai, Kolkata, and Lucknow. In India, the divorce rate has increased, especially in small cities. Hence, the reasons behind divorce in India were explored in this article. In order to analyze the causes of divorce, the current study aimed to combine the critical components of TOPSIS and COPRAS methodologies in a fuzzy environment. Additionally, it is shown that a comparison study may pinpoint the characteristics that influence divorces the most.
Potential Innovations in Modern-Day Human and Animal Vaccine Development
Authors: Carp Theodor-Nicolae
Published: July 2024

The vaccine industry has undoubtedly contributed massively in the medical world, with hundreds of millions of lives saved as a result of the successful development of prophylactic and therapeutic vaccines against various infectious and oncological diseases. Simultaneously, there has been an ongoing evolutionary battle between polymorphic microbes and the human immune system, and various microbes have developed counter-responses against the human host immune system, by creating diverse “holes” of vulnerability in the innate immune system. Such mechanisms may have resulted due to the lower prophylactic and therapeutic focus upon sharpening the innate immune lines as directly as necessary. The overall objective of vaccine-development should be the sharpening of all immune departments that are targeted by various microbial agents for the purpose of transient innate immune suppression and the distribution of the microbial count/load at a systemic level. Likewise, it could be viable for the clinical research community to start focusing upon filling in the “gaps” of vulnerability that are now present in the pathways responsible for the proper natural immune activation and proportionate signalling toward the adaptive immune system. Perhaps, through such a process, the “road” toward the adaptive immune system, which is “old” and filled with “holes”, could be gradually transformed into a perfectly uniform “highway”, with all the required signals transmitted robustly from the innate to the adaptive immune system, before microbes manage to translate the various pathogenic proteins that transiently prevent such transmission altogether, until it becomes too late for the immune response to possibly develop in a proportionate and non-harmful manner to the organism. Such a scenario would be possible, given that it is almost impossible for human evolutionary growth to eventually stall and not risk experiencing a decrease as a result. Simultaneously, it is important for human society to bind by the principles of maintaining a healthy and nature-friendly lifestyle, given the philosophical quote of “We are what we eat.” The overall objective should be the facilitation of human and animal immune evolution over viral and bacterial molecular self-camouflaging from all possible directions, as a sharper human and animal evolutionary growth resulting from such actions could “cost” the sharper evolutionary growth of microbes as such, given that evolutionary patterns are based upon the models observed in Physics, in Newton’s Third Law of Motion, as well as in the First Law of Thermodynamics, which concerns the Conservation of Energy.
A Study of Classroom Behavior Recognition Incorporating Super Resolution and Target Detection
Authors: Zhang Xiaoli , Nie Jialei , Wei ShouLin , Zhu GuiFu , Dai Wei , Yang Can
Published: July 2024

With the development of educational technology, machine learning and deep learning provide technical support for traditional classroom observation assessment. However, in real classroom scenarios, the technique faces challenges such as lack of clarity of raw images, complexity of datasets, multi-target detection errors and complexity of character interactions.Based on the above problems, a student classroom behavior recognition network incorporating super-resolution and target detection is proposed. To cope with the problem of unclear original images in the classroom scenario, SRGAN (Super Resolution Generative Adversarial Network for Images) is used to improve the image resolution and thus the recognition accuracy.To address the dataset complexity and multi-targeting problems, feature extraction is optimized and multi-scale feature recognition is enhanced by introducing AKConv and LASK attention mechanisms into the Backbone module of YOLOv8s algorithm. To improve the character interaction complexity problem, the CBAM attention mechanism is integrated to enhance the recognition of important feature channels and spatial regions. Experiments show that it can detect six behaviors of students raising their hands, reading, writing, playing cell phones, looking down, and lying on the table in high-definition images. And the accuracy and robustness of this network are verified.Compared with small target detection algorithms such as Faster R-CNN, YOLOv5, and YOLOv8s, this network has better detection performance and can efficiently deal with the behavior recognition of multiple students.
Residual Disease in a Complicated Case of Inflammatory Myofibroblastic Tumor of the Lung in a Young Adult
Authors: Alawer Mohamed Nour , Helal Baraa , Al Otry Abdullah , Saleh Waleed , Mohammed Shamayel , Alkattan Khaled
Published: July 2024

Inflammatory myofibroblastic tumor (IMT) is a rare soft tissue tumor of mesenchymal origin that most commonly presents in children. IMTs hold non-specific symptoms and radiological features, rendering diagnosis challenging. Presentation: We report a case of a 26-year-old man who was diagnosed at a different center with IMT of the right lower lobe. He underwent lobectomy with a positive gross margin, after which he was referred to our institution for further management, where we performed redo surgery with removal of residual tumor from the bronchial stump. The case presented here shows that interdisciplinary surgical planning is vital to ensure proper detection and successful tumor resection, while highlighting a unique case of recurrence necessitating a redo surgery.Conclusion: IMT is a rare entity in adults presenting with diverse, non-specific symptoms. IMT’s usually follow a favorable prognosis, but behavior may be unpredictable. While uncommon in adults, strong clinical suspicion is warranted. Complete surgical resection is the treatment of choice and follow up is crucial given the potential for recurrence.
The Role of the Epikarst in Feature Development in Climatic Karsts
Authors: Veress Márton
Published: July 2024

This study describes the relationship between the epikarst and the surface karst of climatic karsts. Bedrock resistivity values along VES measurements were measured and calculated. The elevation difference between the surface and the karstwater table and the annual distribution of precipitation were calculated in certain karst areas. The resistivity of the epikarst can be high (drawdown dolines) and low (subsidence dolines). In the former case, the cavity index and the vertical drainage of the epikarst are heterogeneous, while in the latter they are homogeneous. Considering the above characteristics, two types of doline development are possible. A feature development controlled by the epikarst (tajga karst, soil-covered karst of the temperate belt, glaciokarst), by the epikarst and the karstwater (polje karst, fengcong karst), and controlled predominantly by karstwater (intermountain plain of fenglin karst, tropical karren). At feature development controlled by the epikarst, drawdown dolines (soil-covered karst) and subsidence dolines (covered karst) develop, in the case of feature development controlled by the epikarst and karstwater, drawdown dolines, subsidence dolines and feature assemblages with subsidence dolines and katavotra (polje karst, fengcong karst) are formed. At feature development controlled predominantly by karstwater, subsidence dolines (intermountain plain of fenglin karst), and giant grikes (tropical karren) develop.
CSA-SA-CRTNN: A Dual-Stream Adaptive Convolutional Cyclic Hybrid Network Combining Attention Mechanisms for EEG Emotion Recognition
Authors: Qian Ren , Xiong Xin , Zhou Jianhua , Yu Hongde , Sha Kaiwen
Published: July 2024

In recent years, electroencephalogram (EEG) emotion recognition has emerged as a research hotspot in the field of artificial intelligence (AI). Despite advancements in EEG-based emotion recognition, room for enhancing performance persists due to EEG signal redundancy and limitations in feature extraction, leading to inefficient models and emotional information loss. To fully utilize EEG's emotional information and improve recognition accuracy while reducing computational costs, this paper proposes a Convolutional-Recurrent Hybrid Network with a dual-stream adaptive approach and an attention mechanism (CSA-SA-CRTNN). Firstly, the model utilizes a CSAM module to assign corresponding weights to EEG channels. Then, an adaptive dual-stream convolutional-recurrent network (SA-CRNN and MHSA-CRNN) is applied to extract local spatial-temporal features. After that, the extracted local features are concatenated and fed into a temporal convolutional network with a multi-head self-attention mechanism (MHSA-TCN) to capture global information. Finally, the extracted EEG information is used for emotion classification. We conducted binary and ternary classification experiments on the DEAP dataset, achieving 99.26% and 99.15% accuracy for arousal and valence in binary classification, and 97.69% and 98.05% in ternary classification, surpassing relevant algorithms. Additionally, the model's efficiency is significantly higher than other models, achieving better accuracy with lower resource consumption.
Exploring the Influence of Object, Subject, and Context on Aesthetic Evaluation through Computational Aesthetics and Neuroaesthetics
Authors: Lin Fangfu , Xu Wanni , Li Yan , Song Wu
Published: July 2024

Background: In recent years, computational aesthetics and neuroaesthetics have provided novel insights into understanding beauty. Building upon the findings of traditional aesthetics, this study aims to combine these two research methods to explore an interdisciplinary approach to studying aesthetics; Method: Abstract artworks were used as experimental materials. Based on traditional aesthetics and in combination, features of composition, tone, and texture were selected. Computational aesthetic methods were then employed to correspond these features to physical quantities: blank space, gray histogram, GLCM, LBP, and Gabor filters. An EEG experiment was carried out, in which participants conducted aesthetic evaluations of the experimental materials in different contexts (genuine, fake), and their EEG data was recorded to analyze the impact of various feature classes in the aesthetic evaluation process. Finally, a SVM was utilized to model the feature data, EEG data, context data, and subjective aesthetic evaluation data; Result: Behavioral data revealed that higher aesthetic ratings in the genuine context. EEG data indicated that genuine contexts elicited more negative deflections in the prefrontal lobes between 200-1000ms. Class II compositions demonstrated more positive deflections in the parietal lobes at 50-120ms, while Class I tones evoked more positive amplitudes in the occipital lobes at 200-300ms. Gabor features showed significant variations in the parieto-occipital area at an early stage. Class II LBP elicited a prefrontal negative wave with a larger amplitude. The results of the SVM models indicated that the model incorporating aesthetic subject and context data (ACC=0.76866) outperforms the model using only parameters of the aesthetic object (ACC=0.68657); Conclusion: A positive context tends to provide participants with a more positive aesthetic experience, but abstract artworks may not respond to this positivity. During aesthetic evaluation, the ERP data activated by different features show a trend from global to local. The SVM model based on multimodal data fusion effectively predicts aesthetics, further demonstrating the feasibility of the combined research approach of computational aesthetics and neuroaesthetics.
Study of the Features of Coating Deposition on a Carbide Substrate Using Preliminary Etching with Glow Discharge Plasma
Authors: Grigoriev Sergey , Volosova Marina , Bublikov Yuri , Sotova Catherine , Milovich Filipp , Shmakov Ilya , Vereschaka Alexey
Published: July 2024

The properties of coatings obtained using two surface preparation methods were compared: heating and etching by ion bombardment with plasma generation by arc evaporators and heating and etching by a glow discharge. A Ti-TiN-(Ti,Cr,Al)N coating was deposited. The use of a glow discharge provides better resistance of the coating to destruction during the scratch test and wear resistance of metal-cutting tools when turning steel. As the cutting speed increases, the advantage in wear resistance of the coating deposited using a glow discharge increases. During the process of heating and etching by ion bombardment with metal ions, a nanolayer rich in cobalt and tooling elements (iron, molybdenum) is formed in the area of the interface of the coating and the carbide substrate. When heated and etched by a glow discharge, such a layer does not form. When using both methods, there is identical diffusion of tungsten into the coating and diffusion of chromium and possibly titanium into the substrate. Thus, the glow discharge heating and etching method can be effectively used in the process of PVD coating deposition.
Near-Infrared Spectroscopic Study of Secondary Mineral in the Oxidation Zones of Copper-Bearing Deposits
Authors: Shao-kun Wu , Ming-yue He , Mei Yang , Bi-jie Peng , Yu-jia Shi , Kai-yue Sun
Published: July 2024

This study measured the infrared spectra of secondary minerals in the oxidation zones of three types of copper ores: dioptase, malachite, and azurite, and detailedly assigned the peak positions of OH stretching vibrations and the origins of OH combination vibrations. Dioptase contains three types of water molecules with different orientations within its ring channels, which exhibit six kinds of OH stretching vibrations in the 3000-3600 cm-1 range, the bond length range is 2.652-2.887 Å. Among them, the 3443 cm-1 band shows strong near-infrared activity and combines with Si-O vibrations or OH bending vibrations in the structure, resulting in five combination vibration peaks in the 4000-5000 cm-1 range. Malachite contains two inequivalent hydroxyls in its structure, leading to two OH stretching vibrations in the high-frequency region, located at 3314 and 3402 cm-1, respectively. Azurite contains only one type of hydroxyl, thus only one characteristic OH stretching vibration is present, at 3424 cm-1. The OH stretching vibrations of malachite and azurite mainly combine with [CO3]2- vibrations or OH bending vibrations, leading to six and five combination peaks in the OH combination vibration region, respectively. By analyzing the combination of peak positions at 4341 cm-1 in the near-infrared spectrum, the merged OH bending vibration at 921 cm-1 in azurite was discovered. Spectroscopic research on secondary minerals can better provide a basis for ore exploration and geological remote sensing.
Managing Natural Hazard Risks. A Multi-Stakeholder Approach for De-Risking
Authors: Netti Nadia , de Cristofaro Martina , Ferrara Domenico
Published: July 2024

As a result of decades of austerity, the economies of the Eurozone are experiencing under-investment and crumbling infrastructures in an era of extremely severe emergencies as the cli-mate change and aggressive global competition. The private savings glut of the rich and the strict fiscal rules suggest a crowding-in approach in partnership with big finance in a new age of in-fra-structures. If governments mint public infrastructures into investable assets, they can gen-erate steady returns for investors and asset managers who look after pensions and insurances schemes and unlock trillions now devoted to welfare state. For the big finance to accept to be partner, however, governments must take the task of de-risking returns. Innovation technology and macro-financial literacy can synergically act to enhance this new de-risking role to address in a financially sustainable way the intense phenomena of Natural Hazards (NHs) that can severely compromise economic growth. This is precisely the aim of our Public-Private Partnership (PPP) among the Department of Economics, Management and Institutions of the University of Naples and a Knowledge Transfert Management, the Department of Engineering and the Aca-demic Spin-Off “STRAIN”, of the University of Campania. Our PPP has been contributing to the eval-uation and mitigation of NHs such as floods, landslides and earthquakes since 2012. The ex-tremely advanced results of this multi-stakeholder partnership ensure a better knowledge of NHs which, as evidenced in the paper, is the fundamental input for the desired Public-Private In-surance Programmes (PIPPs).
Significance of Internal Variability for Numerical Experimentation and Analysis
Authors: von Storch Hans , Lin Lin
Published: July 2024

When limited area models of the hydrodynamics of the atmosphere and of the ocean are 1
run over an extended time, variability unrelated to external "drivers" emerge - this variability is 2
colloquially named "hydrodynamical noise" or just "noise". This article summarises what we have 3
learned in the past few years about the properties of such noise, and the implications for numerical 4
experimentation and analysis. The presence of this noise can be identified easily in ensembles of 5
numerical simulations, and it turns out that the intensity of the noise is closely linked to the scale- 6
dependent "memory". At the system level, this "memory" term as given by Hasselmann’s Stochastic 7
Climate model plays a key role. In the case of marginal seas, the process of baroclinic instability 8
modulated by tides and the formation of seasonal thermoclines are significant aspects. Some more 9
general aspects are discussed, such as the applicability of the Stochastic Climate model to systems 10
outside of atmospheric and oceanic dynamics, the irreversibility of tipping points and the challenges 11
of detecting changes beyond a noise level and of the attribution of causes of change.
Expression of TRPS1 in Metastatic Tumors of the Skin: An Immunohistochemical Study of 72 Cases
Authors: Boulogeorgou Kassiani , Topalidis Christos , Koletsa Triantafyllia , Karayannopoulou Georgia , Kanitakis Jean
Published: July 2024

TRPS1 (Tricho-rhino-phalangeal syndrome 1), is a GATA transcriptional activator gene encoding for a protein used as a sensitive immunohistochemical marker of breast carcinomas. In dermatopathology, TRPS1 is used as a marker of mammary Paget’s disease, and is also expressed by a variety of primary cutaneous tumors, mostly of adnexal origin. So far, limited data exist on the expression of TRPS1 in metastatic skin tumors. We studied the immunohistochemical expression of TRPS1 in 72 cutaneous metastatic tumors from the breast (n: 19) and other origins (n: 53) in order to assess its diagnostic usefulness. The intensity of TRPS1 immunostaining was expressed as a histoscore: product of percentage of positive cells (scored semi-quantitatively 0-4) and staining intensity (scored 0-3). In normal skin, nuclear TRPS1 expression was observed in cells of adnexal structures (pilosebaceous follicles and sweat glands). Eighteen (18/19, 94.7%) metastatic breast carcinomas showed diffuse and strong TRPS1 positivity (histoscore 12). Lower reactivity was found in some other metastases, including from the lung (11/22), the female genital tract (3/4), the kidney (2/4), whereas most (20/22) metastases from the digestive system and peritoneum, along with a case of metastatic prostate carcinoma, were negative. These results suggest that a high histoscore for TRPS1 is in favor of the mammary origin of a metastatic cutaneous carcinoma. Although TRPS1 is not absolutely specific or sensitive of a particular primary, we believe it can be added to a panel of other markers when investigating the origin of a cutaneous metastasis, namely when this is the first manifestation of the neoplastic disease.
BA-CLM: A Globally Consistent 3D LiDAR Mapping Based on BA Cost Factors
Authors: Shi Bohan , Lin Wanbiao , Ouyang Wenlan , Shen Chenyu , Sun Siyang , Sun Yan , Sun Lei
Published: July 2024

Constructing a globally consistent high-precision map is essential for the application of mobile robots. Existing optimization-based mapping methods typically constrain robot states in pose space during the graph optimization process, without directly optimizing the structure of the scene, thereby causing the map to be inconsistent. To address the above issues, this paper presents a three-dimensional (3D) LiDAR mapping framework (i.e., BA-CLM) based on LiDAR bundle adjustment (LBA) cost factors. We propose a multivariate LBA cost factor, which is built from a multi-resolution voxel map, to uniformly constrain the robot poses within a submap. The framework proposed in this paper applies the LBA cost factors for both local and global map optimization. Experimental results on several public 3D LiDAR datasets and a self-collected 32-line LiDAR dataset demonstrated that the proposed method achieves accurate trajectory estimation and consistent mapping.
Carbon and Mycorrhizal Fungi for Improving Sustainable Ecosystems and Mitigate Greenhouse Gases
Authors: Yelikbayev Bakhytzhan , Pagano Marcela Claudia
Published: July 2024

while composting of organic wastes is increasingly adopted in sustainable agriculture, continued interest on biochar application, dark soils, and compost, showed morphological aspects and functionality of biochar as a challenge to solve the CO2 aspects related to climatic change, and carbon stability in sustainable soils, as Black carbon presents long chemical permanency due to incomplete combustion of biomass. The objective of this work was to study the characteristics of soil amendments and to review the state of the art of biochar, showing differences in composition and main microorganisms with relevant presence in the soils. Arbuscular mycorrhizal spores (Scutellospora sp., Glomus like, Funneliformis geosporus, Glomus crenatum, and Acaulospora excavata, obtained from TPI soil samples are shown. New strategies are highlighted such as nutrient supplementation of compost, which can constitute the basis for improved compost-based biofertilizers in the future. Thus, the most important strategies for C sequestration are underlined to diminish substantial organic agro- and municipal wastes, increasingly disposed in the fields, landfills or either released by burning or discarding.
Machine Learning Platform for Disease Diagnosiswith Contrast CT Scans
Authors: Jin Jennifer , Kim Mira , Kim Soo Dong , Jin Daniel
Published: July 2024

Machine learning has gained significant recognition within healthcare organizations as a potent technology for medical image analytics. Among various medical image modalities, Contrast-Enhanced CT (CECT) is widely utilized to acquire additional diagnostic information that can help to better visualize and evaluate certain structures or abnormalities in the human body. Accordingly, there is an increasing demand for machine learning systems for disease analytics using CECT. However, developing such systems presents two significant challenges: high technical complexity and high development effort. This paper presents a software platform that can effectively remedy these challenges. This platform embodies a unified software process for CECT-specific disease diagnosis including oncological diseases, cardiovascular diseases, and gastrointestinal diseases. It integrates multiple types of machine learning models into the disease diagnosis process, where the models can diagnose lesions, malignancies, tumors, medical features of tumors, temporal transitions with a contrast agent, and disease progress. The platform has been implemented in Python using Scikit-learn and TensorFlow libraries. To validate its applicability and reusability, a Hepatocellular Carcinoma (HCC) diagnosis system has been implemented.
Sustainability of Aqua-Feeds in Africa
Authors: Ndebele-Murisa Mzime Regina , Mubaya Chipo Plaxedes , Dekesa Chipo Hazel , Samundengo Angela , Kapute Fanuel , Yossa Rodrigue
Published: July 2024

In recent decades, the aquaculture industry has experienced significant growth worldwide, surpassing other food production sectors. This review aims to explore the dynamics of aquafeed production, particularly the shift from conventional to local feed production in Africa, driven by cost-effectiveness and the availability of raw materials. The review examines various scientific publications on aquafeed, focusing on both conventional and novel feed formulations and their impact on aquaculture and the environment. Commonly used aquafeed ingredients among African farmers include cassava, maize gluten, groundnut oilcake, sunflower oilcake, soybean meal, kale, peas, garlic, shrimp wastes, and waste blood. Novel ingredients such as insect-based diets and micro-algae formulations are also explored. Aquafeed composition impacts aqua-waste, water quality, algae, oxygen demand, fish mortality, and eutrophication. The findings highlight the need to reorient feed formulation methods and ingredients to achieve a circular economy in Africa, promoting increased fish production at minimal costs, creating employment while supporting climate adaptation and mitigation efforts. Ultimately, the aquafeed sector has the potential to grow sustainably through the adoption of feed alternatives that prioritise sustainable production and encourage beneficiation studies.
Non-local Problems for the Fractional Order Diffusion Equation and the Degenerate Hyperbolic Equation
Authors: Ruziev Menglibay , Parovik Roman , Zunnunov Rakhimjon , Yuldasheva Nargiza
Published: July 2024

In this paper, we study nonlocal problems for a fractional diffusion equation and a degenerate hyperbolic equation with singular coefficients in the lower terms. The uniqueness of the solution to the problem is proved by the method of energy integrals. The existence of a solution is equivalently reduced to the question of the solvability of Volterra integral equations of the second kind and a fractional differential equation. For a particular solution of the proposed problem, its visualization is carried out for various values of the order of the fractional derivative. It is shown that the order of the derivative affects the intensity of the diffusion process (subdiffusion), as well as the shape of the wave front.
Post-Quantum Authentication Scheme for IoT Security in Smart Cities
Authors: Minhas Noman
Published: July 2024

Internet of Things (IoT) devices are going to be the primary data source in smart cities, often generating and communicating critical, sensitive, and private data that face threats of confidentiality breaches due to the rise of quantum computers. Even though NIST has approved post-quantum cryptography (PQC) schemes that promise to protect from quantum computer threats, these schemes can not be implemented efficiently on IoT devices, which often have computational and memory constraints. Hence, due to the substantial key size requirements and computationally intensive nature of PQC schemes, their direct deployment on IoT devices within smart city architecture is impeded by inherent computational and storage limitations. Consequently, it is imperative to devise PQC-based, resource-efficient authentication protocols tailored to IoT devices operating within smart cities. In this paper, we propose an offloading scheme that uses PQ Edge Server (PQES) for the network that performs PQC-related computation and memory operations for IoT devices in the network. The suggested technique transfers all storage and processing responsibilities from IoT devices in a network to ensure their normal operation and performance without any compromise. PQES generates a distinct PQ key pair for every network device and oversees a separate stream for each device. Therefore, IoT devices in the network may function without cryptographic processes, improving their efficiency by removing the need for conventional cryptography. Our results show that the proposed scheme reduces RAM usage to 1.05 KB and CPU usage to 1.75%, with maximum CPU context switches of 92.8. The proposed scheme uses TCP, a transport layer protocol, which is applicable to lightweight end devices without application-level protocols like HTTP or MQTT. When benchmarked on a Raspberry Pi, the PQES can handle 1000 concurrent connections and use a maximum of 73.5% of RAM. In comparison, previous research used at least 5.1 MB of RAM for one concurrent connection and may use up to 552.6 MB of RAM for 1000 concurrent connections. The maximum CPU usage for our method was 1.75%, whereas the previous proposal had a utilization of 67.1%. The greatest CPU context switches for our system were 92.8, far lower than the 3449 observed for the usual approach. Hence, our proposed scheme reduces the computational, memory, and network load for IoT devices by manifolds and increases device performance while providing PQC security.
Development of a Simple Prime Number Determination Method by excluding Composite Numbers on 6n±1
Authors: Shiraishi Haruhiro , Shiraishi Hajime , Taniguchi Yukiya
Published: July 2024

A prime number is a natural number with no divisors other than itself and the number 1. There are many unsolved problems related to prime numbers. One such problem is finding a general method for identifying prime numbers. Although it is known that all prime numbers fall under the categories of 2, 3, or 6n±1 (where n≥1), a formalized method for eliminating composite numbers (non-prime numbers) from these categories has yet to be developed. This paper aims to explore a possible method for such elimination, which involves checking whether there exists an n that satisfies n = 6km+k+m or n = 6km+k-m (where k and m are non-zero integers). This method is expected to be a major step forward in the derivation of prime numbers.
Apoptotic and Antiproliferative Effect of Thymoquinone on Ovarian Adenocarcinoma Cell Line Via The RAS/RAF Signaling Pathway
Authors: Toprak Veysel , Özdemir İlhan , Öztürk Şamil , Kızıldemir Yusuf Ziya , Yanar Orhan , Tuncer Mehmet Cudi
Published: July 2024

Aim: Ovarian cancer is one of the most frequently diagnosed cancers in women in the world. Recognition of the differences between tumors in cancers and resistance to treatment in patients have made the treatment potential of chemotherapy, radiotherapy and immunotherapy controversial. Especially against drug resistance, laboratories have implemented the drug diversion system by putting old drugs into new forms. In this study, the cytotoxic and apoptotic effects of the combination of doxorubicin (DX) and thymoquinone (TQ) on ovarian adenocarcinoma cells (OVCAR3) were investigated.
Material Method: OVCAR3 cell line was cultured in RPMI medium containing 10% FBS, 1% penicillin/streptomycin. Cell viability and cell growth rate were determined by MTT viability test by combining doxorubicin and thymoquinone. Nucblue immunofluorescent staining was used to determine the mechanism of cell death at different doses of doxorubicin and thymoquinone compounds, qRT-PCR to determine the pathways underlying the apoptotic mechanism, and western blot methods to show protein levels.
Result: We found that the combination of DX and TQ reduced the viability of OVCAR3 cells (MTT assay), induced apoptosis (RAF, RAS, Bcl2, Bax by qRT-PCR) and increased RAF, RAS protein levels in TQ and DX-treated cells by western blot analysis.
Conclusion: The results obtained revealed for the first time that combining DX and TQ also had cytotoxic/apoptotic and anti-proliferative effects against ovarian adenocarcinoma cells.
Subclinical Left Ventricular Dysfunction over Seven-year Follow-up in Type 2 Diabetes Patients without Cardiovascular Diseases
Authors: Akasheva Dariga Uaydinichna , Utina Tatyana Gennadyevna , Dzhioeva Olga Nikolaevna , Drapkina Oxana Mikhailovna
Published: July 2024

Objective: Subclinical left ventricular disfunction (LVD) is common in asymptomatic patients with type 2 diabetes (T2D). Many patients with diabetes have an impaired diastolic and systolic function. With preserved ejection fraction LV (EFLV), the latter is defined as reduced global longitudinal strain (GLS), detected using the speckle-tracking echocardiography. This study is aimed to define the long-term structural and functional disorders of the LV myocardium in patients with T2D without CVD. Methods: Of the 120 patients with and without T2D of both sexes aged from 45 to 75 years (57.11±7.9 years), included in the study in 2012-2013, only 57 responded to the follow-up study. The patients were divided into two groups: one with T2D (n=29), the other without it, control (n=28). All patients underwent transthoracic two-dimensional echocardiography with assessment of standard indicators of systolic and diastolic cardiac function, as well as GLS. In addition, all participants underwent laboratory diagnostics of carbohydrate metabolism disorders markers, NT-proBNP and CRP. The median follow-up duration was 7.2 [7.0-7.8] years. Results: During the follow-up, a statistically significant increase in the incidence of diastolic dysfunction (DD) in the type 2 diabetes group was found from 53% to 61% (p = 0.004); no significant dynamics were noted in the control group (p = 0.48). The presence of T2D significantly increases the risk of developing DD (p=0.04). The presence of T2D, increased fasting glucose levels, and an increased HOMA index were independent predictors of the development of DD. Impairment of LVEF was not observed in both groups. At the same time, the proportion of patients with reduced GLS (< -18%) increased in the T2D group (p = 0.036). A significant difference in the frequency of decreased GLS depending on T2D was demonstrated. The presence of obesity, an increase in the HOMA index and an increase in CRP levels are independent predictors of impaired GLS. Conclusions: T2D is an independent risk factor for the worsening of subclinical left ventricular dysfunction in asymptomatic patients with T2D without CVD over 7-year follow-up. Diastolic dysfunction is represented by delayed relaxation of the LV myocardium; with preserved LVEF, reduced 2D GLS identifies systolic dysfunction. The tight control of glycemia, lipidemia, blood pressure and body weight is associated with the absence of poor clinical outcomes.
Influence of CO₂ and Particulate Matter (PM) on Students’ Emotions in a Smart Classroom
Authors: Fretes Gabriela , Llurba Cèlia , Palau Ramon , Rosell-Llompart Joan
Published: July 2024

Recognizing the critical impact of environmental factors on individuals, this study explores the relationship between environmental indoor pollutants (PM1, PM2.5, PM10, and CO₂) and students' basic emotional responses based on Ekman’s categorization. Conducted in a secondary school in Spain, it integrates IoT and image processing technologies to monitor air quality and emotions in real-time. Participants included 76 secondary school students and three teachers, with data collected over two months. The results showed significant correlations between PM levels and negative emotions such as anger and disgust, while CO₂ levels were associated with both negative and positive emotions, including happiness. Regression models demonstrated that environmental variables significantly predict basic emotions, highlighting the influence of indoor air quality. These findings emphasize the need for proactive air quality management in educational settings to enhance learning environments and support students' emotional well-being.
Zero-Day Exploits in Cybersecurity: Case Studies and Countermeasure
Authors: Waheed Azheen , Seegolam Bhavish , Jowaheer Mohammad Faizaan , Sze Chloe Lai Xin , Hua Ethan Teo Feng , Sindiramutty Siva Raja
Published: July 2024

Zero-day threats are a more severe and constantly developing menace to various participants including large companies, government offices, and educational establishments. These entities may contain valuable information and essential operations that attract cyber attackers. These exploits are especially devastating as they target weaknesses that an organization’s vendors are not even aware of, making them have no protection against them. This paper focuses on the background and use of zero-day exploitation and the structure and technologies of these complex malware attacks. We examine two notable real-life cases: the case of ‘HAFNIUM targeting Exchange Servers with zero-day exploits’ that was investigated by Microsoft 365 Security and Microsoft Threat Intelligence, and the ‘Log4j vulnerability’ case that was reported by the National Cyber Security Centre. These cases show the critical effects of zero-day vulnerabilities and measures taken to combat them. Additionally, this paper outlines different strategies that can be used to prevent zero-day attacks with the help of modern technologies. These are fast patch release, effective IDS/IPS, and a security model that involves constant vigilance and use of behavioral analytics. Thus, by studying the lifecycle of zero-day vulnerabilities and the structure of the exploits, one can enhance the protection of the organization against the threats that are invisible to traditional security systems. This extensive survey is designed to be useful in understanding the characteristics of zero-day vulnerabilities, the technologies for their mitigation, and the constant threat and development in the field of cybersecurity. Thus, it is possible to strengthen the protection against these threats that are constant and develop with time by analyzing the previous events and predicting potential problems.
Web Content Mining: A Review on Concepts, Techniques, and Tools
Authors: Sial Ali Hassan
Published: July 2024

With the emergence of the Internet and WWW has become a comprehensive source of information for the extraction of meaningful information has become a significant challenge in the past decade. Furthermore, the available information is classified in unstructured, structured, and semi-structured forms. Numerous amount of information on the web is also characterized in an unstructured or semi-structured format. This usually extracts the potential useful information from these multiple forms and has been considered a leading area of research in this modern era. The authors presented web content mining as a subcategory of web mining that focuses on important extracting patterns from the contexts available in the documents on the web. Hence, this paper focuses on the multiple content mining concepts, tools, and techniques implemented on the documents available on WWW.
Mechanism of magnetic phase transition in correlated magnetic metal: insight into metallic ferromagnet Fe3-δGeTe2
Authors: Tian Fuyang , Xu Yuanji , Wang Yuechao , Jin Xintao , Liu Haifeng , Liu Yu , Song Haifeng
Published: July 2024

Developing a comprehensive magnetic theory of correlated itinerant magnets is a challenging task due to the difficulty in reconciling both local moments and itinerant electrons. In this work, we investigate the microscopic process of magnetic phase transition in ferromagnet metal Fe3-δGeTe2. A new paradigm is proposed to describe the magnetic phase transition in correlated metallic ferromagnets, where Hund's coupling dominates the spectral weight transfer between different spin channels, rather than spin-splitting as described by the Stoner model. We recognize that our theory should be universal for itinerant magnets. Additionally, we reveal an efficient way to achieve novel quantum states from various competing orders in multi-site crystal structures. Our research shows that Fe1 are proximate to Mott physics, while Fe2 exhibit Hund physics due to their distinct atomic environments. These competing orders work together to produce heavy fermion behavior within ferromagnetic long-range order through well-defined quasiparticle bands, which are promoted by Hund's coupling and further hybridized with relative itinerant bands. The complex interactions of competing orders drive correlated magnetic metal to a new frontier for discovering outstanding quantum states and exotic phenomena in condensed matter physics.
The AP2/ERF transcription factor MhERF113-like positively regulates drought tolerance in transgenic tomato and apple
Authors: Tian Jianwen , Yuan Penghao , Gao Xiang , Wang Hongtao , Wang Miaomiao , Jiao Jian , Zhang Kunxi , Hao Pengbo , Song Chunhui , Zheng Xianbo , Bai Tuanhui
Published: July 2024

Drought is a major abiotic stress in agriculture that severely affects crop growth, yield, and quality. The APETALA2/ethylene responsive factor (AP2/ERF) plays a crucial role in maintaining plant growth, development, as well as stress tolerance. Herein, we cloned and characterized theMhERF113-like gene fromMalus hupehensis.MhERF113-like is significantly induced by drought and highly expressed in leaves. Overexpression ofMhERF113-like positively regulated the drought tolerance of apple callus, as judged by less electrolyte leakage, lower malonaldehyde (MDA) and hydrogen peroxide (H2O2) contents in OE than those of the WT apple callus under drought stress. In addition, ectopic expression ofMhERF113-like gene in tomatoes improved the drought tolerance, accompanied by enhanced expression of antioxidant genes (SlAPXandSlSOD) and stress responsive genes (SlDREB2AandSlRD29), and reduced H2O2and O2-contents in transgenic tomato. Taken together, our study demonstrated thatMhERF113-like may play an important role in the regulation of plant drought tolerance, which may provide a key factor for future biotechnology applications to improve drought stress tolerance in plants.
Fire and ant interactions mediated by honeydew and extrafloral nectar in an Australian tropical savanna
Authors: Oliveira Fernanda M.P. , Silva Carlos H. F. , Moir Melinda L. , Leal Inara R. , Andersen Alan N.
Published: July 2024

Fire is a major disturbance affecting ecosystems globally, but its impact on mutualisms has received minimal attention. Here, we use a long-term field experiment to investigate the impact of different fire regimes on globally important ant-honeydew and ant-extrafloral nectar (EFN) mutualistic interactions in an Australian tropical savanna. These interactions provide ants with a key energy source, while their plant and hemipteran hosts receive protection services. We examined ant interactions on species of Eucalyptus (lacking EFNs) and Acacia (with EFNs) in three replicate plots each of burning every two and three years early in the dry season, burning late in the dry season every two years, and unburnt for > 25 years. The proportions of plants with ant-honeydew interactions in Acacia (44.6%) and Eucalyptus (36.3%) were double those of Acacia plants with ant-EFN interactions (18.9%). The most common ants, representing 85% of all interactions, were behaviourally dominant species of Oecophylla, Iridomyrmex and Papyrius. Fire promoted the incidence of ant interactions, especially those involving EFNs on Acacia, which occurred on only 3% of plants in unburnt plots compared with 24% in frequently burnt plots. Fire also promoted the relative incidence of behaviourally dominant ants, which are considered the highest-quality mutualists. Contrary to expectations, frequent fire did not result in a switching of behaviourally dominant ant partners from forest-adapted Oecophylla to arid-adapted Iridomyrmex. Our findings that frequent fire increases ant interactions mediated by honeydew and extrafloral nectar, and promotes the quality of ant mutualists, have important implications for protective services provided by ants in highly fire-prone ecosystems.
Statin Targeted Treatment Against Intimal Hyperplasia Using Unique Chitosan-PLGA Nanoparticles
Authors: Peters Ashley A. , Poland Gloria Grace , Cabe Maleen , Kaur Chanpreet , Langert Kelly , Maier Kristopher , Gahtan Vivian
Published: July 2024

Introduction:
Statins have pleiotropic effects, including reducing intimal hyperplasia (IH). Using unique nanoparticle (NPs), we hypothesized chitosan-functionalized polymeric NPs loaded with simvastatin (SL-cNPs) would: 1) readily associate with endothelial cells (ECs) and vascular smooth muscle cells (VSMCs); 2) affect EC and VSMC function; and 3) reduce IH compared to systemic simvastatin.
Methods
Human aortic ECs and VSMCs were cultured with SL-cNPs tagged with fluorescent tracer. Association of SL-cNPs was assessed by immunostaining and flow cytometry. The effect of SL-cNPs, empty cNPs (E-cNPs) and free simvastatin on cells was determined using RT-qPCR for RhoA and RhoB. Carotid artery balloon injured rats were treated intraoperatively with intraluminal saline, E-cNPs, low or high dose SL-cNPs; or with pre- and post-operative oral simvastatin plus intraoperative intraluminal saline or low dose SL-cNPs. Rats were euthanized (day 14) and IH was quantified.
Results
SL-cNPs readily associated with ECs and VSMCs. Low and high dose SL-cNPs induced significant increases in EC and VSMC RhoA gene expression. High dose SL-cNPs induced a significant increase in EC RhoB expression, while free simvastatin, low and high dose SL-cNPs significantly increased RhoB expression in VSMCs. In vivo, oral simvastatin plus intraluminal SL-cNPs significantly reduced IH compared to controls.
Conclusion
cNPs can be used as a novel vehicle to locally deliver statins to vascular cells. Although only the combination of oral simvastatin and SL-cNPs effectively reduced IH, different routes of delivery and/or concentration of SL-cNPs may allow for a more robust effect on IH prevention.