bluuebunny/crossref_metadata_2025 huggingface dataset:
Machine Learning Detection of Cloud Services Abuse as C&C Infrastructure
Authors: Al lelah Turki , Theodorakopoulos George , Javed Amir , Anthi Eirini
Published: December 2023

The proliferation of cloud and public legitimate services (CLS) on a global scale has resulted in increasingly sophisticated malware attacks that abuse these services as command-and-control (C&C) communication channels. Conventional security solutions are inadequate for detecting malicious C&C traffic because it blends with legitimate traffic. This motivates the development of advanced detection techniques. We make the following contributions: First, we introduce a novel labeled dataset. This dataset serves as a valuable resource for training and evaluating detection techniques aimed at identifying malicious bots that abuse CLS as C&C channels. Second, we tailor our feature engineering to behaviors indicative of CLS abuse, such as connections to known CLS domains and potential C&C API calls. Third, to identify the most relevant features, we introduced a custom feature elimination (CFE) method designed to determine the exact number of features needed for filter selection approaches. Fourth, our approach focuses on both static and derivative features of Portable Executable (PE) files. After evaluating various machine learning (ML) classifiers, the random forest emerges as the most effective classifier, achieving a 98.26% detection rate. Fifth, we introduce the “Replace Misclassified Parameter (RMCP)” adversarial attack. This white-box strategy is designed to evaluate our system’s detection robustness. The RMCP attack modifies feature values in malicious samples to make them appear as benign samples, thereby bypassing the ML model’s classification while maintaining the malware’s malicious capabilities. The results of the robustness evaluation demonstrate that our proposed method successfully maintains a high accuracy level of 84%. In sum, our comprehensive approach offers a robust solution to the growing threat of malware abusing CLS as C&C infrastructure.
Anomaly Detection for Modbus over TCP in Control Systems Using Entropy and Classification-Based Analysis
Authors: Ghosh Tirthankar , Bagui Sikha , Bagui Subhash , Kadzis Martin , Bare Jackson
Published: December 2023

This article presents a statistical approach using entropy and classification-based analysis to detect anomalies in industrial control systems traffic. Several statistical techniques have been proposed to create baselines and measure deviation to detect intrusion in enterprise networks with a centralized intrusion detection approach in mind. Looking at traffic volume alone to find anomalous deviation may not be enough—it may result in increased false positives. The near real-time communication requirements, coupled with the lack of centralized infrastructure in operations technology and limited resources of the sensor motes, require an efficient anomaly detection system characterized by these limitations. This paper presents extended results from our previous work by presenting a detailed cluster-based entropy analysis on selected network traffic features. It further extends the analysis using a classification-based approach. Our detailed entropy analysis corroborates with our earlier findings that, although some degree of anomaly may be detected using univariate and bivariate entropy analysis for Denial of Service (DOS) and Man-in-the-Middle (MITM) attacks, not much information may be obtained for the initial reconnaissance, thus preventing early stages of attack detection in the Cyber Kill Chain. Our classification-based analysis shows that, overall, the classification results of the DOS attacks were much higher than the MITM attacks using two Modbus features in addition to the three TCP/IP features. In terms of classifiers, J48 and random forest had the best classification results and can be considered comparable. For the DOS attack, no resampling with the 60–40 (training/testing split) had the best results (average accuracy of 97.87%), but for the MITM attack, the 80–20 non-attack vs. attack data with the 75–25 split (average accuracy of 82.81%) had the best results.
Patient Dose Estimation in Computed Tomography-Guided Biopsy Procedures
Authors: Siomou Evangelia , Filippiadis Dimitrios K. , Efstathopoulos Efstathios P. , Antonakos Ioannis , Panayiotakis George S.
Published: December 2023

This study establishes typical Diagnostic Reference Levels (DRL) values and assesses patient doses in computed tomography (CT)-guided biopsy procedures. The Effective Dose (ED), Entrance Skin Dose (ESD), and Size-Specific Dose Estimate (SSDE) were calculated using the relevant literature-derived conversion factors. A retrospective analysis of 226 CT-guided biopsies across five categories (Iliac bone, liver, lung, mediastinum, and para-aortic lymph nodes) was conducted. Typical DRL values were computed as median distributions, following guidelines from the International Commission on Radiological Protection (ICRP) Publication 135. DRLs for helical mode CT acquisitions were set at 9.7 mGy for Iliac bone, 8.9 mGy for liver, 8.8 mGy for lung, 7.9 mGy for mediastinal mass, and 9 mGy for para-aortic lymph nodes biopsies. In contrast, DRLs for biopsy acquisitions were 7.3 mGy, 7.7 mGy, 5.6 mGy, 5.6 mGy, and 7.4 mGy, respectively. Median SSDE values varied from 7.6 mGy to 10 mGy for biopsy acquisitions and from 11.3 mGy to 12.6 mGy for helical scans. Median ED values ranged from 1.6 mSv to 5.7 mSv for biopsy scans and from 3.9 mSv to 9.3 mSv for helical scans. The study highlights the significance of using DRLs for optimizing CT-guided biopsy procedures, revealing notable variations in radiation exposure between helical scans covering entire anatomical regions and localized biopsy acquisitions.
A Strain Fitting Strategy to Eliminate the Impact of Measuring Points Failure in Longitudinal Bending Moment Identification
Authors: Xu Gengdu , Gan Jin , Li Jun , Liu Huabing , Wu Weiguo
Published: December 2023

The identification of longitudinal bending moments is a critical component in the health monitoring of ship structures. This study examines the effect of the failure of measurement points on the accuracy of bending moment identification and presents a solution using an XGboost fitting method. The impact of failure point position and quantity on strain fitting accuracy and bending moment identification was investigated by performing a four-point bending experiment in typical failure scenarios. Further numerical analysis was conducted to identify potential sources of errors in the measurement process. Additionally, several XGBoost-based fitting schemes were tested under practical conditions to provide reliable fitting suggestions. The results indicated that the XGboost strain fitting method outperforms conventional methods for removing failed measurement points, resulting in improved accuracy of identification. When the most critical failure condition occurs (i.e., the deck plate measurement points and deck stiffener measurement points fail), the XGboost method can still estimate the strain at the failure points with acceptable accuracy. These results also hold in complex load scenarios. Moreover, in the practical measurement conditions, the arrangement of measuring points includes two sections that are sufficient to support the fitting of failed measurement points by using the XGboost method. The XGboost strain fitting method exhibits promising potential in strain fitting applications.
An Evaluation of Treatment Effectiveness for Reclaimed Coral Sand Foundation in the South China Sea
Authors: Yao Ting , Li Wei
Published: December 2023

Mega land reclamation projects have been carried out on the coral reefs in the South China Sea. Coral sand was used as a backfill material through hydraulic filling, with fill heights ranging from 6 to 10 m. To enhance foundation stability, vibro-flotation and impact rolling have been employed. However, the uneven distribution of coral sand, irregular particle shape, lower single-particle strength, and paucity of engineering cases for reference have posed challenges in evaluating the effectiveness of these foundation treatments. In this study, the effectiveness of vibro-flotation and impact rolling on the densification and bearing capacity of coral sand foundations has been investigated. In situ tests, including the plate load test, California Bearing Ratio (CBR) test, density measurements, dynamic penetration test (DPT), and settlement monitoring, were conducted at four distinct zones: an untreated zone, a vibro-flotation zone at a 5 m depth, a vibro-flotation zone at a 10 m depth, and an impact rolling zone. The findings suggest that coral sand exhibits promising characteristics for foundation construction. Seepage and self-weight consolidation following land reclamation formation significantly enhance the compaction degree of the coral sand foundation, thereby meeting the requirements for areas with lower bearing capacity demands. Both vibro-flotation and impact rolling techniques could significantly enhance the foundation-bearing capacity, with marginal differences between them. Since the machinery is simple and construction speed is quick, the impact rolling method is considered to be the most efficient for the treatment of coral sand foundation. The DPT results suggest that the reinforcement effect of both vibro-flotation and impact rolling on the deep foundation is not as substantial as the surface layers. This study provides valuable insights into optimizing foundation treatments for land reclamation projects on the coral reefs.
Pro-Inflammatory Biomarkers and Progression of Atherosclerosis in Patients with Myocardial Infarction with Non-Obstructive Coronary Artery Disease: 1-Year Follow-Up
Authors: Ryabov Vyacheslav V. , Vorobeva Darya A. , Kologrivova Irina V. , Suslova Tatiana E.
Published: November 2023

The objective of our study was to evaluate the concentrations of pro-inflammatory biomarkers in patients with acute myocardial infarction with non-obstructive coronary arteries (MINOCA) compared to patients with acute myocardial infarction with obstructive coronary arteries (MI-CAD) in the early post-infarction period and after 1 year and to perform a comparative analysis of the relationship between laboratory biomarkers and atherosclerosis progression in patients with MINOCA and MI-CAD. Methods: Samples of peripheral venous blood were collected upon admission and on days 2, 4, and 7 of hospitalization and after 1 year. An extended multiplex analysis was performed in blood serum. Multidetector-computed tomography coronary angiography was performed on day 7 and 1 year after acute myocardial infarction to assess the progression of atherosclerosis. Results: The level of high-sensitive C-reactive protein (hsCRP) was elevated upon admission in MINOCA patients compared to MI-CAD patients (p = 0.05), but it was comparable in two groups at other time points and did not exceed the reference range after 1 year. Despite comparable levels of cytokines CXCL-6, LIGHT, CCL-8, and endocan-1 in patients in both groups, MINOCA patients had a greater increase in pro-inflammatory cytokines PlGF, oncostatin M, IL-20, and CCL-15 sVCAM-1 in the early post-infarction period and in CCL-21, sVCAM-1, oncostatin M, and PlGF after 1 year. We observed significant differences in the dynamics of the following biomarkers between patients with MI-CAD and MINOCA: the dynamics of concentrations of CCL21 (p = 0.002), LIGHT (p = 0.03), and endocan-1 (p = 0.03) after 1 year compared to day 1 in MI-CAD and MINOCA patients was opposite, while the dynamics of CXCL6 (p = 0.04) and endocan-1 (p = 0.02) differed between groups when evaluated after 1 year compared to day 7 of the early post-infarction period. In the MINOCA group, factors associated with atherosclerosis progression were concentrations of sVCAM-1 and CCL-21, while in the MI-CAD group, concentrations of CCL-8 and CXCL6 were the main determinants of atherosclerosis progression. Conclusions: This small study showed that MINOCA and MI-CAD patients exhibited differences in a pro-inflammatory biomarker profile in the early post-infarction period and after 1-year follow-up, which implies distinct inflammatory pathways involved in atherogenesis during MINOCA. The key factors that were associated with atherosclerosis progression in MINOCA patients are sVCAM-1 and CCL-21, which may suggest a complex genesis of atherosclerosis progression due to structurally altered plaques and changes in the microcirculatory bed. In MI-CAD patients, CCL-8 and CXCL-6 were the key biomarkers associated with atherosclerosis progression. Further large-scale studies are required to confirm our data.
Artificial-Intelligence-Enhanced Study on the Optimization of the Responsibility and Compensation Mechanism for Provincial Cultivated Land Retention from a Fairness Perspective
Authors: Zhu Haidi , Wu Qun
Published: November 2023

Research Objectives: Considering the complex challenges arising from urbanization, population growth, and the consequential strain on China’s cultivated land resources, we integrate insights from advanced artificial intelligence (AI) technology. The primary objective is to quantitatively assess the cultivated land-holding responsibility of local governments in China from a fairness perspective. Our aim is to integrate the cultivated land responsibility ownership amount into the compensation mechanism for cultivated land protection, thereby promoting fairness, cultivated land conservation, and sustainable agricultural development across Chinese provinces while ensuring efficient agricultural product distribution. Research Methodology: Beyond a traditional literature review and model analysis, we incorporated AI technology for data analysis and model optimization. Findings: ① The findings demonstrate a surplus in both food security and ecological security within cultivated land. ② In-depth analysis via AI revealed that the provinces with the largest surplus include Heilongjiang, Jilin, and Hubei. ③ With the precision provided by AI, we delineated the minimum value of the cultivated land responsibility ownership amount for each province. Eleven provinces met this criterion, primarily located in the northeast and central regions and including Yunnan in the west. ④ From a fairness perspective, coupled with AI insights, we established a compensation mechanism for cultivated land protection that is better suited to the Chinese context. Based on this mechanism, the national average compensation standard was calculated to be 26,900 CNY per hectare. The highest standards were observed in Shanghai, Beijing, and Jiangsu, while the lowest were in Shanxi, Heilongjiang, and Gansu.
Spatiotemporal Characteristic Prediction and Driving Factor Analysis of Vegetation Net Primary Productivity in Central China Covering the Period of 2001–2019
Authors: Hao Xiuping , Wang Xueliu , Ma Jianqin , Chen Yang , Luo Shiyi
Published: November 2023

Unveiling the variation mechanism of vegetation net primary productivity (NPP) and elucidating the underlying drivers of these changes is highly necessitated for terrestrial carbon cycle research and global carbon emission control. Taking Henan Province, renowned as the anciently central China and current China’s foremost grain producer, as an example, this study employed the Theil–Sen Median Trend Analysis to evaluate the spatiotemporal characteristics and trends of NPP. Correlation Analysis and Residual Analysis were used to explain the drivers of NPP dynamics. To deepen the inquiry, the Geodetector method was employed to scrutinize the multifaceted effects and interplay among diverse variables influencing NPP. The result showed demonstrated that approximately 85.72% of the area showed an increase in NPP, covering a broad geographical distribution. Notably, 89.31% of the province has witnessed a positive human-driven NPP change. It means human activities emerged as a driving force with a positive effect on vegetation NPP, consequently fostering an increasing trend of NPP. Among climatic factors, the correlation between NPP and precipitation was stronger than that between the temperature and NPP, the determined power of factors in Henan Province was population density, (0.341) > GDP (0.326) > precipitation (0.255) > elevation (0.167) > slope (0.136) > temperature (0.109), and a single factor had a lesser interaction effect than two factors. The implications of these findings extend beyond the realms of research, potentially offering valuable insights into the formulation of targeted ecosystem restoration measures tailored to the distinct context of Henan Province, and also expect to provide crucial references for carbon emission control in China and across the world.
A Landscape Restoration Initiative Reverses Desertification with High Spatiotemporal Variability in the Hinterland of Northwest China
Authors: Hao Yuanyuan , Liu Xin , Xie Yaowen , Hua Limin , Liu Xuexia , Liang Boming , Wang Yixuan , Huang Caicheng , He Shengshen
Published: November 2023

Although we are in an era of enormous global commitments to ecological restoration (the UN Decade on ER; the Bonn Challenge), little attention has been paid to the importance of sustained commitment to individual restoration initiatives and few resources have been dedicated to monitoring, especially the long-term and broad-scale evaluations that would allow us to understand how basin-scale restoration can result in complex spatiotemporal patterns. Remote sensing offers a powerful tool for evaluating restoration initiatives focused on water management in arid regions, where changes in vegetation growth can be tracked visually with measures like the generalized difference vegetation index (GDVI). In this paper, we evaluate the Comprehensive Treatment Program of the Shiyang River Basin (CTSRB), a landscape restoration initiative in China’s northwest, using a widely available remote sensing tool, showing how it can reveal the causes of fluctuating changes in restoration success. We focus on spatiotemporal variation, studying a time series from 2001 to 2020 using regression, trend, and stability analyses for six different divisions of the study region (the study area as a whole, the irrigated areas, the periphery of the irrigated regions, and the districts of Ba, Quanshan, and Hu) to evaluate the effects of the restoration initiative. The study period was divided into four equal-length phases based on the implementation timeline of the CTSRB, which includes one pre- and post-intervention interval and two stages of the CTSRB. We found that the CTSRB has played a positive role in the restoration of vegetation in the Minqin Basin, especially desert vegetation. However, the positive effects were not obvious in the first CTSRB period, which was characterized by a decline in vegetation growth likely caused by the strategy of “close the pumping-wells, transform the land”, which reversed a greening trend caused by the unsustainable irrigation of wasteland prior to the project’s initiation. During the second phase of the CTSRB, vegetation in the regions of “transform the land” gradually improved, and the growth of desert vegetation gradually improved and expanded as a result of more water flowing out of agricultural zones. The rate of vegetation recovery slowed down during the final phase of the CTSRB, and some areas even experienced a decline in the GDVI. Overall, our findings show that the CTSRB, by integrating water management and allowing for uninterrupted ecological restoration, drove complex regional changes in the GDVI, including successful restoration of desert vegetation. The spatiotemporal variable we observed underscores the importance of long-term commitment to arid land restoration initiatives and the importance of even longer-term monitoring using tools like remote sensing.
Xeno Amino Acids: A Look into Biochemistry as We Do Not Know It
Authors: Brown Sean M. , Mayer-Bacon Christopher , Freeland Stephen
Published: November 2023

Would another origin of life resemble Earth’s biochemical use of amino acids? Here, we review current knowledge at three levels: (1) Could other classes of chemical structure serve as building blocks for biopolymer structure and catalysis? Amino acids now seem both readily available to, and a plausible chemical attractor for, life as we do not know it. Amino acids thus remain important and tractable targets for astrobiological research. (2) If amino acids are used, would we expect the same L-alpha-structural subclass used by life? Despite numerous ideas, it is not clear why life favors L-enantiomers. It seems clearer, however, why life on Earth uses the shortest possible (alpha-) amino acid backbone, and why each carries only one side chain. However, assertions that other backbones are physicochemically impossible have relaxed into arguments that they are disadvantageous. (3) Would we expect a similar set of side chains to those within the genetic code? Many plausible alternatives exist. Furthermore, evidence exists for both evolutionary advantage and physicochemical constraint as explanatory factors for those encoded by life. Overall, as focus shifts from amino acids as a chemical class to specific side chains used by post-LUCA biology, the probable role of physicochemical constraint diminishes relative to that of biological evolution. Exciting opportunities now present themselves for laboratory work and computing to explore how changing the amino acid alphabet alters the universe of protein folds. Near-term milestones include: (a) expanding evidence about amino acids as attractors within chemical evolution; (b) extending characterization of other backbones relative to biological proteins; and (c) merging computing and laboratory explorations of structures and functions unlocked by xeno peptides.
Real-World Outcomes of First-Line FOLFIRI Plus Bevacizumab with Irinotecan Dose Escalation versus FOLFOXIRI Plus Bevacizumab in BRAFV600E-Mutant Metastatic Colorectal Cancer: The Preliminary Data from a Single-Center Observational Study
Authors: Tsai Hsiang-Lin , Huang Ching-Wen , Chen Yen-Cheng , Su Wei-Chih , Chang Tsung-Kun , Chen Po-Jung , Li Ching-Chun , Chang Yu-Tang , Wang Jaw-Yuan
Published: December 2023

Background and Objectives: Approximately 5–10% of all patients with metastatic colorectal cancer (mCRC) harbor a BRAFV600E mutation. These patients exhibit distinct metastatic patterns, poor prognosis, and heterogenous survival outcomes. The findings from the TRIBE study indicated that the administration of FOLFOXIRI plus bevacizumab as first-line treatment extended the median duration of overall survival (OS). In this study, we explored the effects of UGT1A1 polymorphism on the outcomes of irinotecan dose escalation versus FOLFOXIRI plus bevacizumab in patients with BRAFV600E-mutant mCRC. Materials and Methods: We retrospectively reviewed the medical records of 25 patients who had received a diagnosis of BRAFV600E-mutant mCRC between October 2015 and August 2022. All patients underwent UGT1A1 genotyping before receiving bevacizumab plus FOLFIRI. The primary end point was progression-free survival (PFS), and secondary endpoints were OS and adverse events (AEs). The two treatment arms were compared in terms of 6-month PFS and 12-month OS. Results: Over a median follow-up duration of 15.0 (interquartile range, 10.0–30.5) months, no significant differences were noted between the treatment arms in severe AEs (SAEs), 6-month PFS, or 12-month OS (all p < 0.05). Regarding AEs, the FOLFIRI plus bevacizumab regimen was associated with a lower incidence of anorexia than was the FOLFOXIRI plus bevacizumab regimen (p = 0.042). Conclusions: Our findings indicate that FOLFIRI plus bevacizumab with irinotecan dose escalation is an effective first-line treatment regimen for patients with BRAFV600E-mutant mCRC. This regimen leads to acceptable clinical outcomes with manageable AEs. However, the effects on survival and safety outcomes could only be speculated, and further studies are needed because of the sample size, the follow-up for the OS evaluation, and the non-uniformity in all the variables considered in the two groups.
The Management and Diagnosis of Anti-NMDA Receptor Autoimmune Encephalitis in Pregnant Women: A Case Report and Literature Review
Authors: Potorac Alina , Varlas Valentin , Borș Roxana , Baroș Alexandru , Cirstoiu Monica
Published: December 2023

Rationale: Anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis is a form of autoimmune synaptic encephalitis, often mediated by neuronal surface antibodies. Clinically, it manifests through a diverse range of neurological and psychiatric symptoms, primarily affecting young women with ovarian teratoma, which is rare in pregnant women. Patient concerns: We report a case of a 35-year-old multiparous pregnant patient at 38 weeks of gestation presented to the emergency room with seizure, psychiatric symptoms like delirious speech with mystical visual and auditory hallucinations, bradylalia, and retrograde amnesia. Diagnosis: The diagnosis of autoimmune encephalitis with anti-NMDA antibodies was concluded by considering the lumbar puncture results, brain imaging, and the patient’s persistent symptoms. Outcomes: This case is noteworthy for its rarity and the symptoms’ breadth. At 38 weeks of gestation, the patient underwent a cesarean section, resulting in excellent maternal recovery observed during the 6-month follow-up and good neonatal adaptation. Lessons: Our goals include raising awareness about this condition and emphasizing the significance of early diagnosis. This encephalitis is treatable and potentially reversible, underscoring the importance of prompt identification.
High Incidence of Acute Liver Failure among Patients in Egypt Coinfected with Hepatitis A and Hepatitis E Viruses
Authors: El-Mokhtar Mohamed A. , Elkhawaga Amal A. , Ahmed Mona Sedky Hussein , El-Sabaa Ehsan M. W. , Mosa Aliaa A. , Abdelmohsen Ahmed Shawkat , Moussa Abdelmajeed M. , Salama Eman H. , Aboulfotuh Sahar , Ashmawy Ahmed M. , Seddik Ahmed Ismail , Sayed Ibrahim M. , Ramadan Haidi Karam-Allah
Published: December 2023

Hepatitis A virus (HAV) and Hepatitis E virus (HEV) are transmitted through the fecal–oral route. HAV outbreaks and one HEV outbreak have been reported in Egypt. However, the impact of HAV–HEV co-infection is not known. In this study, we assessed HEV markers in acute HAV-infected patients (n = 57) enrolled in Assiut University hospitals. We found that 36.8% of HAV-infected patients were also positive for HEV markers (anti-HEV IgM and HEV RNA), while 63.2% of the patients were HAV mono-infected. Demographic and clinical criteria were comparable in both HAV mono-infected patients and HAV–HEV co-infected patients. Although liver enzymes were not significantly different between the two groups, liver transaminases were higher in the co-infected patients. Six patients developed acute liver failure (ALF); five of them were HAV–HEV-co-infected patients. The relative risk of ALF development was 8.5 times higher in HAV–HEV co-infection compared to mono-infection. Three cases of ALF caused by HAV–HEV co-infection were reported in children (below 18 years) and two cases were reported in adults. All patients developed jaundice, coagulopathy, and encephalopathy; all were living in rural communities. In conclusion: HAV–HEV co-infection can be complicated by ALF. The risk of ALF development in HAV-infected patients is higher when coinfection with HEV is present.
The Mite Steatonyssus periblepharus Is a Novel Potential Vector of the Bat Parasite Trypanosoma dionisii
Authors: Malysheva Marina N. , Ganyukova Anna I. , Frolov Alexander O. , Chistyakov Dmitriy V. , Kostygov Alexei Yu.
Published: December 2023

Trypanosoma dionisii, for which only bat bugs (Cimicidae) had previously been demonstrated as vectors, was, for the first time, detected in the gamasine mite Steatonyssus periblepharus in Russia. The molecular phylogenetic analysis indicated that trypanosomes found in these mites belong to the “clade A” of T. dionisii, which, based on genetic distances, can be considered as a species separate from the sister clade B, and according to available data also has a distinct geographic distribution. The presence of developmental forms of T. dionisii resembling those previously described during the development of this trypanosome in cimicids suggests that S. periblepharus is a novel vector of the studied trypanosome.
Development of Bifunctional Chiral Thioureas and Thiosquaramides in the Synthesis of Betti Bases
Authors: Malinowska Martyna , Zawisza Anna
Published: November 2023

Bifunctional thioureas and, for the first time, bifunctional thiosquaramides as organocatalysts were used in the asymmetric Betti reaction involving 1-, 2-naphthols and hydroxyquinoline with N-tosylimine and ketimine. The described methodology affords direct access to chiral aminoarylnaphthols in excellent yield (up to 98%) with high enantioselectivity (up to 80% ee) and enantioenriched 3-amino-2-oxindoles (up to 78% yield, up to 98% ee).
Optimized MLP-CNN Model to Enhance Detecting DDoS Attacks in SDN Environment
Authors: Setitra Mohamed Ali , Fan Mingyu , Agbley Bless Lord Y. , Bensalem Zine El Abidine
Published: December 2023

In the contemporary landscape, Distributed Denial of Service (DDoS) attacks have emerged as an exceedingly pernicious threat, particularly in the context of network management centered around technologies like Software-Defined Networking (SDN). With the increasing intricacy and sophistication of DDoS attacks, the need for effective countermeasures has led to the adoption of Machine Learning (ML) techniques. Nevertheless, despite substantial advancements in this field, challenges persist, adversely affecting the accuracy of ML-based DDoS-detection systems. This article introduces a model designed to detect DDoS attacks. This model leverages a combination of Multilayer Perceptron (MLP) and Convolutional Neural Network (CNN) to enhance the performance of ML-based DDoS-detection systems within SDN environments. We propose utilizing the SHapley Additive exPlanations (SHAP) feature-selection technique and employing a Bayesian optimizer for hyperparameter tuning to optimize our model. To further solidify the relevance of our approach within SDN environments, we evaluate our model by using an open-source SDN dataset known as InSDN. Furthermore, we apply our model to the CICDDoS-2019 dataset. Our experimental results highlight a remarkable overall accuracy of 99.95% with CICDDoS-2019 and an impressive 99.98% accuracy with the InSDN dataset. These outcomes underscore the effectiveness of our proposed DDoS-detection model within SDN environments compared to existing techniques.
Mechanism of and Prevention Technology for Water Inrush from Coal Seam Floor under Complex Structural Conditions—A Case Study of the Chensilou Mine
Authors: Wang Qi , Zheng Shitian , Shi Zhiyuan , Wu Pei , Lv Huayong , Wang Gang
Published: November 2023

Based on the complex hydrogeological conditions of the Chensilou mine, numerical simulations and field validation methods were used to study the mechanism of water inrush from the floor of the coal seam, which has faults and cracks, as well as the regional advanced grouting reinforcement technology during the coal mining process. The evolution laws of the roof stress field, displacement field, crack field, and plastic area are revealed at different mining distances. The coupling mechanism of floor water inrush channel formation under complex conditions is analyzed. Advanced grout filling reinforcement technology in the ground area is proposed, the slurry diffusion law of different grouting layers under different grouting pressures is revealed, and the grouting effect is evaluated, which provides a research basis for selecting a reasonable grouting pressure. Finally, the application of regional advanced grouting reinforcement technology was carried out at the site, and the grouting reconstruction effect was verified by the transient electromagnetic and three-dimensional DC resistivity method. The results show that the apparent resistivity of the floor after the grouting reinforcement is high, and the water yield of the verification borehole is less than 10 m3/h. The area where the three-dimensional direct current resistivity is less than 12 Ω·m only appears in the lower part of the middle of the working face, and there is no water in the verification borehole. Through our underground supplementary treatment and verification process, the initial water inflow meets the requirements of being less than 10 m3/h. It indicates that the ground regional advanced treatment project achieved significant results. The results of our research can also provide references for water hazard control in similar mines.
Modeling Microscale Foam Propagation in a Heterogeneous Grain-Based Pore Network with the Pore-Filling Event Network Method
Authors: Yang Jun , Lu Nu , Lin Zeyu , Zhang Bo , Zhang Yizhong , He Yanfeng , Zhao Jing
Published: November 2023

Foam flooding is an efficient and promising technology of enhanced oil recovery that significantly improves sweep efficiency of immiscible displacement processes by providing favorable mobility control on displacing fluids. Although the advantages in flexibility and efficiency are apparent, accurate prediction and effective control of foam flooding in field applications are still difficult to achieve due to the complexity in multiphase interactions. Also, conventional field-scale or mesoscale foam models are inadequate to simulate recent experimental findings in feasibility of foam injection in tight reservoirs. Microscale modeling of foam behavior has been applied to further connect those pore-scale interactions and mesoscale multiphase properties such as foam texture and the relative permeability of foam banks. Modification on a microscale foam model based on a pore-filling event network method is proposed to simulate its propagation in grain-based pore networks with varying degrees of heterogeneity. The impacts of foam injection strategy and oil-weakening phenomena are successfully incorporated. Corresponding microfluidic experiments are performed to validate the simulation results in dynamic displacement pattern as well as interfacial configuration. The proposed modeling method of foam propagation in grain-based networks successfully captures the effects of lamellae configurations corresponding to various foaming processes. The results of the simulation suggest that the wettability of rock has an impact on the relevance between reservoir heterogeneity and the formation of immobile foam banks, which supports the core idea of the recently proposed foam injection strategy in tight oil reservoirs with severe heterogeneity, that of focusing more on the IFT adjustment ability of foam, instead of arbitrarily pursuing high-quality strong foam restricted by permeability constraints.
Humeral Resurfacing Arthroplasty: Clinical, Functional and Radiological Assessment at a Mean Follow-Up of 11 Years
Authors: Giannotti Stefano , Troiano Elisa , Saviori Marco , Crippa Orlandi Nicholas , Greco Tommaso , Perisano Carlo , Colasanti Giovanni Battista , Mondanelli Nicola
Published: December 2023

Humeral resurfacing arthroplasty (HRA) entails the substitution of the articular surface alone with a prosthetic cap without a humeral stem. It is a more conservative procedure which can be easily converted in a total (anatomical or reverse) arthroplasty, if necessary. The present study aimed to evaluate the clinical and radiographical outcomes in a series of patients treated with HRA by a single surgeon. Thirty-three patients with a mean follow-up of 11 years were clinically (Constant score; disability of the arm, shoulder and hand score, DASH) and radiographically assessed before and after surgery. The Constant and DASH scores improved significantly after surgery, and only two cases needed revision surgery. HRA represents a valid therapeutic option in selected cases to improve the quality of life and prevents the need for more invasive procedures.
Review of the Policy, Social, Operational, and Technological Factors Affecting Cigarette Butt Recycling Potential in Extended Producer Responsibility Programs
Authors: Pazzaglia Aron , Castellani Beatrice
Published: December 2023

Cigarette butts (CBs) are the most diffuse waste in the world, often abandoned into the environment without proper disposal. They are dangerous because of the numerous harmful chemicals potentially released by them into the environment. In the literature, there are several technological options for CB recycling, but some critical concerns could affect their effectiveness due to the quality and quantity of CB litter that is collected in the proper way. The extended producer responsibility scheme for CBs is proposed at the Europe level as an action to tackle CB litter and encourage sustainable product development. The present paper focuses on analyzing the existing literature to identify critical issues within the policy framework, social behavior, waste collection and transport, and technological processes. The collection and transport of CB waste is a major issue, being a key step for bringing CB to the recycling process. The main concern is the small quantity of CBs collected: 0.06% of the municipal waste and 0.18% of the unsorted waste in the case study’s administrative area of Perugia. Another crucial issue is the need for behavioral interventions to increase education and awareness of citizens that are smokers, addressing the discrepancy between smokers’ behaviors and beliefs. The main results, along with the critical issues related to the topics, are highlighted.
The Doctrine of Exemplarism: A Symbolic Attempt to Escape the Pelagian Heresy
Authors: Gordon Liran
Published: December 2023

Heresies are intrinsically intertwined with the evolution and inner growth of the very religions that denounce them. They serve as theological junctures, challenging and thus refining the orthodoxy of religious beliefs. The Pelagian heresy touches on one of the central tenets of Christian theology: the question of salvation. Pelagianism posits that human beings retain freedom of the will and, more specifically, the capacity to earn salvation through their own merits rather than relying solely on the grace of God in Christ. This stands in contrast to the predominant Christian view that Original Sin fundamentally impaired man’s will and intellect. A central tenet of Christianity is that through His suffering and death on the Cross, Christ atoned for humanity’s Original Sin and paved the way for our redemption. But what exactly made this redemption possible through the suffering and death on the Cross? Unlike many of the answers offered, Abelard’s explanation, also referred to as exemplarism, resonates with modern sensibilities: Christ set an example to imitate, and through this imitation, man learns humility and love. However, this stance faced criticism and was condemned by Bernard of Clairvaux as having Pelagian tendencies because it suggests that Christ’s redemptive work might not inherently require Christ’s divine nature. This study will attempt to defend the exemplaristic approach while ensuring Christ’s essential role and addressing criticisms against the Pelagian heresy. This discussion is further enriched by an examination of the Eucharist, illuminating the theological tension between symbolic and realistic interpretations of religious rites.
AgroCableBot: Reconfigurable Cable-Driven Parallel Robot for Greenhouse or Urban Farming Automation
Authors: García-Vanegas Andrés , García-Bonilla María J. , Forero Manuel G. , Castillo-García Fernando J. , Gonzalez-Rodriguez Antonio
Published: December 2023

In this paper, a Cable-Driven Parallel Robot developed to automate repetitive and essential tasks in crop production in greenhouse and urban garden environments is introduced. The robot has a suspended configuration with five degrees-of-freedom, composed of a fixed platform (frame) and a moving platform known as the end-effector. To generate its movements and operations, eight cables are used, which move through eight pulley systems and are controlled by four winches. In addition, the robot is equipped with a seedbed that houses potted plants. Unlike conventional suspended cable robots, this robot incorporates four moving pulley systems in the frame, which significantly increases its workspace. The development of this type of robot requires precise control of the end-effector pose, which includes both the position and orientation of the robot extremity. To achieve this control, analysis is performed in two fundamental aspects: kinematic analysis and dynamic analysis. In addition, an analysis of the effective workspace of the robot is carried out, taking into account the distribution of tensions in the cables. The aim of this analysis is to verify the increase of the working area, which is useful to cover a larger crop area. The robot has been validated through simulations, where possible trajectories that the robot could follow depending on the tasks to be performed in the crop are presented. This work supports the feasibility of using this type of robotic systems to automate specific agricultural processes, such as sowing, irrigation, and crop inspection. This contribution aims to improve crop quality, reduce the consumption of critical resources such as water and fertilizers, and establish them as technological tools in the field of modern agriculture.
A Comparative Study of n- and p-Channel FeFETs with Ferroelectric HZO Gate Dielectric
Authors: Jacob Paul , Patil Pooja C. , Deng Shan , Ni Kai , Sehra Khushwant , Gupta Mridula , Saxena Manoj , MacMahon David , Kurinec Santosh
Published: December 2023

This study investigates the electrical characteristics observed in n-channel and p-channel ferroelectric field effect transistor (FeFET) devices fabricated through a similar process flow with 10 nm of ferroelectric hafnium zirconium oxide (HZO) as the gate dielectric. The n-FeFETs demonstrate a faster complete polarization switching compared to the p-channel counterparts. Detailed and systematic investigations using TCAD simulations reveal the role of fixed charges and interface traps at the HZO-interfacial layer (HZO/IL) interface in modulating the subthreshold characteristics of the devices. A characteristic crossover point observed in the transfer characteristics of n-channel devices is attributed with the temporary switching between ferroelectric-based operation to charge-based operation, caused by the pinning effect due to the presence of different traps. This experimental study helps understand the role of charge trapping effects in switching characteristics of n- and p-channel ferroelectric FETs.
Ethics and Cooperative Optimization Scheme for CAVs with Velocity-Prioritized Emergency Vehicles at Signal-Free Intersections
Authors: Chen Kaiyuan , Hua Bikang , Wang Miao , Zeng Huatang , Chai Senchun , Liang Wannian
Published: December 2023

This study investigates collaborative route mapping for a collection of connected automated vehicles (CAVs) traversing multi-lane pathways, with a particular emphasis on intersections without traffic signals. A distinctive feature of our research is the prioritization of emergency vehicles, such as ambulances and fire engines, according to their velocity demands. Additionally, a comprehensive analysis of the ethical ramifications of implementing such a prioritised system is engaged, while it is notable that in most of the existing studies, the ethical evaluation of intelligent transportation modalities is neglected. From a technical aspect, trajectories for CAVs in current models tend to be either inflexible or congruent with the collective formation of the fleet. Concurrently, the pre-set velocities for CAVs frequently demonstrate a lack of adaptability, which impedes cohesive operation. Moreover, there exists a pronounced deficiency in catering to the prioritization needs of emergency vehicles within these models. The current research endeavours to address these shortcomings by formulating the intersection management as an optimal control problem (OCP). This formulation enables CAVs to modulate their velocities in response to practical objectives, sidestepping fixed lane regulations at junctions. The control framework also encompasses autonomous vehicles of diverse sizes and velocities. An Adaptive Stepwise Optimization (ASO) methodology is proposed to augment the efficacy of the OCP resolution.
6G Mobile Networks: Key Technologies, Directions, and Advances
Authors: Dangi Ramraj , Choudhary Gaurav , Dragoni Nicola , Lalwani Praveen , Khare Utkarsh , Kundu Souradeep
Published: December 2023

The exponential growth of the fifth-generation (5G) network gives businesses and universities a chance to turn their attention to the next-generation network. It is widely acknowledged that many IoT devices require more than 5G to send various types of data in real-time. In addition to 5G, several research centres are currently concentrating on 6G, which is expected to produce networks with great quality of service (QoS) and energy efficiency. Future application requirements will necessitate a significant upgrade in mobile network architecture. 6G technologies offer larger networks with lower latency and faster data transmission than 5G networks. This review presents a comprehensive overview of 6G networks which includes the novel architectural changes within 6G networks, recent research insights from diverse institutions, applications within the realm of 6G networks, and the key features associated with them. We also explored various technologies of 6G networks encompassing terahertz, visible light connectivity, blockchain, and symbiotic broadcasting, all of which contribute to the establishment of robust and socially integrated network structures. In this survey, we have focused on 6G network slices and discussed a detailed exploration of security and privacy concerns regarding the potential 6G technologies at the levels of physical infrastructure, connecting protocols, and service provisions, alongside an evaluation of current security strategies.
Assessing Barriers to Human Papillomavirus (HPV) Vaccination in At-Risk Rural Communities of Western North Carolina, United States
Authors: McNeil Candice J. , Barr Breona , Munawar Iqra , DeWitt Michael E. , Myers Jenny Snow , Shetty Avinash K.
Published: November 2023

Human papillomavirus (HPV) vaccination among adolescents in rural, western North Carolina (NC) remains suboptimal. Data are needed to understand the barriers to HPV vaccination in these communities. We conducted a cross-sectional pilot study of parental attitudes and provider practices regarding HPV vaccination in rural western NC counties with lower HPV vaccination rates. Eight health department clinics were enrolled in the study. Further, 29 provider and 32 parent surveys were analyzed along with environmental scans. Median provider comfort regarding knowledge of HPV-associated diseases was 85% (IQR = 75–95), on a scale of 0–100% (100% representing complete comfort). Median parental comfort level regarding knowledge of HPV-associated diseases and the HPV vaccine was 75% (IQR = 50–89) and 75% (IQR = 49–96), respectively. Less than 25% of parents rated the HPV vaccine as ‘extremely effective’ against genital (16.7%) and anal cancers (17.9%). Parents were more likely to rate the vaccine as ‘extremely effective’ to ‘very effective’ if their child was female. There was no significant difference between parental- and provider-reported comfort with knowledge about HPV-associated diseases (p = 0.0725) and the HPV vaccine (p = 0.167). This study identified multiple opportunities to increase HPV vaccine coverage among unvaccinated adolescents at parental, provider, and clinic levels. Health education of rural NC residents and providers in public health settings may identify future interventions to increase HPV vaccine uptake.