Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the Risk Assessment of Hazardous Chemical Supply Chain and the Application

Hazardous chemical has the characteristics of easy explosion, toxicity, corrosiveness etc. These characteristics make dangerous chemical not only causing harm to the human body, but also polluting the environment. With the development of the global economy, the application of hazardous chemical is more and more widely. Compared with the traditional supply chain, the hazardous chemical supply chain has more potential factors and faces more risks. These potential risks threaten life and property safety. This is also a great challenge to the management of hazardous chemical, especially the management of the hazardous chemical supply chain. In order to assess the risk of hazardous chemical supply chain, we propose an improved AHP algorithm in this paper. This algorithm combines the PSO algorithm with AHP to improve the traditional AHP algorithm. After that, we apply the improved AHP algorithm to assess the risk of the hazardous chemical supply chain and get good results.
Online identification of hierarchical heavy hitters: algorithms, evaluation, and applications

In traffic monitoring, accounting, and network anomaly detection, it is often important to be able to detect high-volume traffic clusters in near real-time. Such heavy-hitter traffic clusters are often hierarchical (<i>ie</i>, they may occur at different aggregation levels like ranges of IP addresses) and possibly multidimensional (<i>ie</i>, they may involve the combination of different IP header fields like IP addresses, port numbers, and protocol). Without prior knowledge about the precise structures of such traffic clusters, a naive approach would require the monitoring system to examine all possible ombinations of aggregates in order to detect the heavy hitters, which can be proohibitive in terms of computation resources. In this paper, we focus on online identification of 1-dimensional and 2-dimensional hierarchical heavy hitters (HHHs), arguably the two most important scenarios in traffic analysis. We show that the problem of HHH detection can be transformed to one of dynamic packet classification by taking a top-down approach and adaptively creating new rules to match HHHs. We then adapt several existing static packet classification algorithms to support dynamic packet classification. The resulting HHH detection algorithms have much lower worst-case update costs than existing algorithms and can provide tunable deterministic accuracy guarantees. As an application of these algorithms, we also propose robust techniques to detect changes among heavy-hitter traffic clusters. Our techniques can accommodate variability due to sampling that is increasingly used in network measurement. Evaluation based on real Internet traces collected at a Tier-1 ISP suggests that these techniques are remarkably accurate and efficient.
Neuroprotection Exerted by Netrin-1 and Kinesin Motor KIF1A in Secondary Brain Injury following Experimental Intracerebral Hemorrhage in Rats

Binding of extracellular netrin-1 to its receptors, deleted in colorectal cancer (DCC) and uncoordinated gene 5H2 (UNC5H2), inhibits apoptosis mediated by these receptors. A neuron-specific kinesin motor protein, KIF1A, has been shown to participate in netrin-1 secretion. This study aimed to identify the roles of netrin-1 and KIF1A in secondary brain injury after intracerebral hemorrhage (ICH) and the potential mechanisms. An autologous blood ICH model was established in adult male Sprague-Dawley rats, and cultured neurons were exposed to OxyHb to mimic ICH conditions in vitro. Mouse recombinant netrin-1, expression vectors encoding KIF1A, and KIF1A-specific siRNAs were administered intracerebroventricularly. After ICH, protein levels of netrin-1, DCC, and UNC5H2 increased, while protein levels of KIF1A decreased. Levels of UNC5H2 and DCC bound to netrin-1 increased after ICH but were significantly lower than the increase in total amount of protein. Administration of recombinant netrin-1 attenuated neuronal apoptosis and degeneration in ICH rats. Moreover, KIF1A overexpression increased concentrations of netrin-1 in cerebrospinal fluid and cell culture supernatant and exerted neuroprotective effects via netrin-1 and its receptor pathways. KIF1A plays a critical role in netrin-1 secretion by neurons. An increase in protein levels of netrin-1 may be a neuroprotective strategy after ICH. However, this process is almost completely abolished by ICH-induced loss of KIF1A. An exogenous increase of KIF1A may be a potential strategy for neuroprotection via the netrin-1 pathway.
Using LiDAR and GEOBIA for automated extraction of eighteenth–late nineteenth century relict charcoal hearths in southern New England

Increasing availability and advancements of aerial Light Detection and Ranging (LiDAR) data have radically been shifting the way archeological surveys are performed. Unlike optical remote sensing imagery, LiDAR pulses travel through small gaps in dense tree canopies enabling archeologists to discover “hidden” past settlements and anthropogenic landscape features. While LiDAR has been increasingly adopted in archeological studies worldwide, its full potential is still being explored in the United States. Furthermore, while hand-digitizing features in remote-sensing datasets remain a valuable method for archeological surveys, it is often time- and labor intensive. The central objective of this research is to develop a geographic object-based image analysis-driven methodological framework linking low-level features and domain knowledge to automatically extract targets of interest from LiDAR-based digital terrain models (DTMs) and to closely examine the degree of interoperability of knowledge-based rulesets across different study sites focusing on the same semantic class. We apply this framework in southern New England, a geographic region in the northeastern United States where numerous seventeenth-century to early twentieth-century features such as relict charcoal hearths (RCHs), stone walls, and building foundations lie abandoned in densely forested terrain. Focusing on RCHs in this study, our results show promising agreement between manual and automated detection of these features. Overall, we show that the use of LiDAR data augmented with object-based classification workflows provides valuable baseline data for future archeological study and reconstruction of land-use/land-cover change over the past 300 years.
Accurate House Price Projections

— This study delves into the dynamics of housing prices in Visakhapatnam, employing a multifaceted approach that combines linear regression modelling, geocoding, and K-means clustering. Leveraging a comprehensive dataset encompassing diverse locations, area (in square feet), and bedroom-bathroom configurations, we construct a robust linear regression model for price estimation. The dataset is further enriched through geocoding, introducing latitude and longitude coordinates to each location. Expanding our analysis, we employ K-means clustering to unveil spatial patterns and groupings within the housing market. Our findings reveal intricate relationships between location, property attributes, and housing prices, providing valuable insights for both prospective buyers and real estate stakeholders. Visualizations on the Visakhapatnam map illustrate the spatial distribution of housing clusters, shedding light on localized market trends. This integrated approach not only refines price predictions but also enhances our understanding of the spatial dynamics shaping the real estate landscape in Visakhapatnam. The outcomes of this study contribute to informed decision-making in the housing market and set the stage for future research exploring the nuances of regional real estate dynamics.
A uniformly accurate finite element method for the Reissner-Mindlin plate

A simple finite element method for the Reissner–Mindlin plate model in the prim-itive variables is presented and analyzed. The method uses nonconforming linear finite elements for the transverse displacement and conforming linear finite elements enriched by bubbles for the rotation, with the computation of the element stiffness matrix modified by the inclusion of a simple elementwise averaging. It is proved that the method converges with optimal order uniformly with respect to thickness.
Making tubes in the Drosophila embryo

Epithelial and endothelial tubes come in various shapes and sizes and form the basic units of many tubular organs. During embryonic development, single unbranched tubes as well as highly branched networks of tubes form from simple sheets of cells by several morphogenic movements. Studies of tube formation in the Drosophila embryo have greatly advanced our understanding of the cellular and molecular mechanisms by which tubes are formed. This review highlights recent progress on formation of the hindgut, Malpighian tubules, proventriculus, salivary gland, and trachea of the Drosophila embryo, focusing on the cellular events that form each tube and their genetic requirements. Developmental Dynamics 232:617–632, 2005. © 2005 Wiley‐Liss, Inc.
The Structural Equation Model of Causal Factors Affecting Purchasing Decisions in E-Commerce Live-Streaming of Chinese Gen Z Consumers

This research explores the relevant factors affecting the purchasing decisions of China's Generation Z consumers in e-commerce live-streaming. The researcher uses mixed methodologies, combining qualitative and quantitative research, using interviews and surveys to collect data. The sample consisted of 407 Chinese Generation Z consumers in Chengdu, Sichuan Province, with e-commerce live-streaming shopping experience in the past year, by using purposive and snowball sampling methods. Data were analyzed using Multiple Regression Analysis (MRA) and Covariance-Based Structural Equation Modeling. The research results found that platform promotion, streamer attraction, consumer conformity psychology, and consumer personality needs have a significant and positive impact on the purchasing decisions of Chinese Generation Z consumers. Furthermore, consumer factors significantly influence purchasing decisions of Chinese Generation Z consumers, followed by platform factors. On the other hand, streamer factors negatively influence purchasing decisions of Chinese Generation Z consumers.
On Query Optimization in a Temporal SPC Algebra

Tuplesof a temporal relation are equippedwith a valid time period. A simple extensionof the SPC (SelectionProjection-Cross product) algebra for temporal relations is defined, which conforms to primitives in existing temporal query languages. In particular, temporal projection involves coalescing of time intervals, which results in non-monotonic queries. Also the “select-from-where” normal form is no longer available in this temporal extension. In view of these temporal peculiarities, it is natural and significant to ask whether query optimization techniques for the SPC algebra still apply in the temporal case. To this extent, we provide a temporal extension of the classical tableau formalism, and show its use and limits for temporal query optimization.
Ovarian Cancer and the Microbiome: Connecting the Dots for Early Diagnosis and Therapeutic Innovations—A Review

Ovarian cancer, which ranks eighth among global female cancers and fifth in fatality, poses a significant health challenge owing to its asymptomatic early stages. Understanding the pathogenesis requires extensive research. Recent studies have emphasized the role of the gut and cervicovaginal microbiota in ovarian cancer. This review explores the current understanding of the relationship between the microbiome and ovarian cancer, considering the potential of biomarkers in the serum and various tissues. Insights into the influence of the microbiome on treatments, including surgery and chemotherapy, open doors to innovative approaches, such as fecal microbiome transplantation. This synthesis of recent findings provides crucial insights into the intricate interplay between the microbiome and ovarian cancer, thereby shaping diagnostic and treatment strategies.
Trap Response of Cutworm Moths (Abagrotis orbis) to a Sex-Attractant Lure in Grape Vineyards

Abstract Larvae of Abagrotis orbis (Grote) (Lepidoptera: Noctuidae) are climbing cutworms and can damage grapevines, Vitis vinifera L. (Vitaceae), in early spring by consuming expanding buds. A sex attractant would be useful for monitoring this insect in commercial vineyards. (Z)-7-Tetradecenyl acetate and (Z)-11-hexadecenyl acetate were found in extracts of female abdominal tips. In multiple field experiments, male A. orbis were captured in traps baited with a combination of these two chemicals but not in traps baited with either chemical alone. Males were trapped from mid-September to early October in south-central Washington and south-central British Columbia. Other noctuid moths (Mamestra configurata Walker, Xestia c-nigrum (L.), and Feltia jaculifera (Guenée)) were also captured in traps baited with the A. orbis pheromone and may complicate the use of this lure to monitor A. orbis. Abagrotis discoidalis (Grote) was captured in traps baited with (Z)-7-tetradecenyl acetate but not in traps baited with the two chemicals together.
Improving the policy making process in municipal solid waster management: Learning from Minamata-City, Japan

Many countries, especially industrialized countries, are facing a crisis in municipal solid waste (MSW) problems due to its ever increasing amount and related problems such as limited dumping space, transboundary waste movement, financial pressures, and dioxin problems. In Japan, one of those industrialized countries, while national MSW policies have not appeared effective, some municipalities have established remarkable policies to reduce MSW Minamata-city, which has a unique experience of environmental pollution, known as Minamta-disease, has reduced waste with the two major MSW policies: a Recycling Program; and the Food-containers Abolition Project of the Women's Committee on Waste Reduction, based on the tragic history. Through the assessment of the two policies in Minamata-city case study, I found the most important factors for a successful policy process in MSW management are: (1) participation of all stakeholders; (2) face-to-face discussion; and (3) power sharing by leading organizations in the decision process. Other factors such as: (4) level of crisis; (5) environmental consciousness; (6) problem orientation and goal clarification are also important. Therefore, to improve the policy process on MSW management issue in a community, professionals can suggest that decision makers and leading organizations have face-to-face discussions with all stakeholders and to share the power with them in the early stages of the decision process. As a basic concept, connectedness of the whole environment must be considered in the design of a MSW management program.
Design and Performance Evaluation of a State-Space Based AQM

Recent research has shown the link between congestion control in communication networks and feedback control system. In this paper, the design of an active queue management (AQM) which can be viewed as a controller, is considered. Based on a state space representation of a linearized fluid flow model of TCP, the AQM design is converted to a state feedback synthesis problem for time delay systems. Finally, an example extracted from the literature and simulations via a network simulator NS (under cross traffic conditions) support our study.
Effectiveness and efficiency of different weight machine-based strength training programmes for patients with hip or knee osteoarthritis: a protocol for a quasi-experimental controlled study in the context of health services research

Introduction Osteoarthritis is a chronic musculoskeletal disease with a major impact on the individual and the healthcare system. As there is no cure, therapy aims for symptom release and reduction of disease progression. Physical exercises have been defined as a core treatment for osteoarthritis. However, research questions related to dose response, sustainability of effects, economic efficiency and safety are still open and will be evaluated in this trial, investigating a progressive weight machine-based strength training. Methods and analysis This is a quasi-experimental controlled trial in the context of health services research. The intervention group (n=300) is recruited from participants of an offer for insurants of a health insurance company suffering from hip or knee osteoarthritis. Potential participants of the control group are selected and written to from the insurance database according to predefined matching criteria. The final statistical twins from the control responders will be determined via propensity score matching (n=300). The training intervention comprises 24 supervised mandatory sessions (2/week) and another 12 facultative sessions (1/week). Exercises include resistance training for the lower extremity and core muscles by use of weight machines and small training devices. The training offer is available at two sites. They differ with respect to the weight machines in use resulting in different dosage parameters. Primary outcomes are self-reported pain and function immediately after the 12-week intervention period. Health-related quality of life, self-efficacy, cost utility and safety will be evaluated as secondary outcomes. Secondary analysis will be undertaken with two strata related to study site. Participants will be followed up 6, 12 and 24 months after baseline. Trial registration number German Clinical Trial Register DRKS00009257. Pre-results.
Differential Gene Expression Profile in Omental Adipose Tissue in Women with Polycystic 1 Ovary Syndrome . 2 3 SHORT TITLE : Expression Profiling of Omental Fat in PCOS 4 5

39 40 Context The polycystic ovary syndrome (PCOS) is frequently associated with visceral obesity, suggesting 41 that omental adipose tissue might play an important role in the pathogenesis of the syndrome. 42 Objective To the study of the expression profiles of omental fat biopsies obtained from morbidly obese 43 women with or without PCOS at the time of bariatric surgery. 44 Design Case-control study 45 Settings Academic hospital. 46 Patients Eight PCOS patients and 7 non-hyperandrogenic women submitted to bariatric surgery because 47 of morbid obesity. 48 Interventions Biopsies of omental fat were obtained during bariatric surgery 49 Main Outcome Measures High-density oligonucleotide arrays. 50 Results After statistical analysis, we identified changes in the expression patterns of 63 genes between 51 PCOS and control samples. Gene classification was assessed through data mining of Gene Ontology 52 annotations, and cluster analysis of dysregulated genes between both groups. These methods highlighted 53 abnormal expression of genes encoding certain components of several biological pathways related to 54 insulinand Wnt-signaling, to oxidative stress, inflammation, immune function and lipid metabolism, as 55 well as other genes previously related to PCOS or to the metabolic syndrome. 56 Conclusions The differences in the gene expression profiles in visceral adipose tissue of PCOS patients 57 compared with non-hyperandrogenic women involve multiple genes related to several biological 58 pathways, suggesting that the involvement of abdominal obesity in the pathogenesis of PCOS is more 59 ample than previously thought, and not restricted to the induction of insulin resistance. 60 61
Vitamin Intervention for Stroke Prevention (VISP) Trial: Rationale and Design

Elevated plasma levels of homocyst(e)ine [H(e)] are surprisingly common and strongly associated with endothelial dysfunction and a marked increase in vascular risk. Treatment with a combination of folic acid, pyridoxine (vitamin B6) and cobalamin (vitamin B12) reduces plasma H(e) levels in most cases, restores endothelial function, and regresses carotid plaque, but there is no evidence that such treatment will reduce clinical events. The Vitamin Intervention for Stroke Prevention (VISP) study is a double-masked, randomized, multicenter clinical trial designed to determine if, in addition to best medical/surgical management, high-dose folic acid, vitamin B6, and vitamin B12 supplements will reduce recurrent stroke compared to lower doses of these vitamins. Patients at least 35 years old with a nondisabling ischemic stroke within 120 days, and screening plasma H(e) > the 25th percentile of benchmark population data are eligible. Secondary endpoints are myocardial infarction or fatal coronary heart disease. This paper describes the design and rationale of the study.
Complex Use of the Main Marine Diesel Engine High- and Low-Temperature Waste Heat in the Organic Rankine Cycle

The decarbonization problem of maritime transport and new restrictions on CO2 emissions (MARPOL Annex VI Chapter 4, COM (2021)562) have prompted the development and practical implementation of new decarbonization solutions. One of them, along with the use of renewable fuels, is the waste heat recovery of secondary heat sources from a ship’s main engine, whose energy potential reaches 45–55%. The organic Rankine cycle (ORC), which uses low-boiling organic working fluids, is considered one of the most promising and energy-efficient solutions for ship conditions. However, there remains uncertainty when choosing a rational cycle configuration, taking into account the energy consumption efficiency indicators of various low-temperature (cylinder cooling jacket and scavenging air cooling) and high-temperature (exhaust gas) secondary heat source combinations while the engine operates within the operational load range. It is also rational, especially at the initial stage, to evaluate possible constraints of ship technological systems for ORC implementation on the ship. The numerical investigation of these practical aspects of ORC applicability was conducted with widely used marine medium-speed diesel engines, such as the Wartsila 12V46F. Comprehensive waste heat recovery of all secondary heat sources in ORC provides a potential increase in the energy efficiency of the main engine by 13.5% to 21% in the engine load range of 100% to 25% of nominal power, while individual heat sources only achieve 3% to 8%. The average increase in energy efficiency over the operating cycle according to test cycles for the type approval engines ranges from 8% to 15% compared to 3% to 6.5%. From a practical implementation perspective, the most attractive potential for energy recovery is from the scavenging air cooling system, which, both separately (5% compared to 6.5% during the engine’s operating cycle) and in conjunction with other WHR sources, approaches the highest level of exhaust gas potential. The choice of a rational ORC structure for WHR composition allowed for achieving a waste heat recovery system energy efficiency coefficient of 15%. Based on the studied experimental and analytical relationships between the ORC (generated mechanical energy) energy performance (Pturb) and the technological constraints of shipboard systems (Gw), ranges for the use of secondary heat sources in diesel operational characteristic modes have been identified according to technological limits.
A Frequency Scheduling Method for MC-CDM

Multi-carrier code division multiplexing (MC-CDM) is one of promising multiplexing techniques for fourth-generation mobile downlink communications systems, where high data rate services should be provided even for high speed-cruising mobiles. For MC-CDM-based packet communication, a frequency scheduling method, which adaptively assigns different sub-carriers to different users, is proposed. This paper proposes a frequency scheduling method, which utilizes pre-assignmented subcarriers in the frequency domain for the MC-CDM scheme. Furthermore, the performance of the proposed system in frequency selective fading channels is compared with that of a no-scheduled MC-CDM scheme by computer simulation in both single- and multi-cell environments. From the results, it is found that the proposed system achieves better bit error rate performance than the no-scheduled MC-CDM scheme and can control quality of service (QoS) for active users.