Similar Attributes Research Articles

A Multivariate Fuzzy Weighted K-Modes Algorithm with Probabilistic Distance for Categorical Data

Data clustering is a data mining approach that assigns similar data to the same group. Traditionally, cluster similarity considers all attributes equally, but in real-world applications, some attributes may be more important than others. Therefore, this study proposes an algorithm that utilizes multivariate fuzzy weighting to demonstrate the varying importance of each attribute, using a Gini impurity measure for weight assignment. Additionally, the proposed algorithm implements probabilistic distance to reduce sensitivity to noise. Probabilistic distance offers more detailed information and better interpretation than Hamming distance, which ignores attribute positions. Probabilistic distance utilizes information about the attribute’s position within and between clusters. This enhances clustering performance by creating clusters with more similar attributes. Therefore, the proposed Multivariate Fuzzy Weighted K-Modes with Probabilistic Distance for Categorical Data (MFWKM-PD) algorithm, based on the multivariate fuzzy K-modes algorithm, not only considers detailed membership calculations but also considers the varying contributions of attributes and their positions in distance calculation. This study evaluated the proposed MFWKM-PD using several benchmark datasets. The experiments validated that the proposed MFWKM-PD shows promising results compared to other algorithms in terms of accuracy, NMI, and ARI.

Enhancing the fruit yield and quality of pomegranate in a new niche area: Insights into site specific agronomic practices

The sustained higher profitability of a pomegranate orchard relies heavily on the production of a greater proportion of high-quality fruits, a goal achievable through the implementation of effective management practices. The objective of this study is to provide site-specific supplementary knowledge regarding the response of pomegranate plants to various management practices under arid conditions. With the aim of enhancing both marketable fruit yield and quality of pomegranate in arid regions, four separate and simultaneous experiments were conducted in the same orchard to evaluate (i) the response of planting materials derived from tissue culture, air layering, and cutting; (ii) the impact of crop (fruit) load; (iii) the response of crop regulation; and (iv) the application response of organo-mineral fertilizers containing potassium (OMF-K) and phosphorus (OMF-P). The results obtained for plant growth, fruit yield, and fruit quality did not exhibit significant differences among pomegranate plants raised through the three different methods of vegetative propagation. Striking results in terms of producing superior-grade fruits, higher marketable yield, and overall fruit quality were achieved with crop loads of 80 fruits per plant. Staggering the crop regulation from June to September effectively extended the harvesting season to four months, from the last week of November to March, with eventual benefit of reduced fruit cracking compared to the standard two-month harvesting period obtained from normal regulation. Soil application of the indigenously developed OMF-K in two equal splits, along with the recommended N and P through inorganic sources, significantly reduced fruit cracking (only 6.23%) compared to the recommended NPK through inorganic sources (26.9%), while maintaining similar physicochemical quality attributes.

The Immigration–Crime Nexus: Inner and Outer Containment Buffer or A Push Toward Delinquency

The ongoing debate over the immigration–crime nexus has continued to attract a wide range of research efforts in the criminal justice field. To build on these initiatives, this study not only examines the relationship between immigrants and adolescent crime but also explores attributes derived from containment effects that may contribute to or shield individuals from deviant behavior in America. Results showed that both immigrant and native-born adolescents share similar external attributes rather than internal traits that affect delinquency. For instance, inherent immigration status and identity is relatively more influential on self-reported substance problems among immigrant youth compared to their native-born counterparts. Interestingly, among external attributes, immigrant and native-born adolescents are responsive to legitimate opportunity and neighborhood order in different ways which thrust them into different deviant pathways.

A versatile framework for attributed network clustering via K-nearest neighbor augmentation

AbstractAttributed networks containing entity-specific information in node attributes are ubiquitous in modeling social networks, e-commerce, bioinformatics, etc. Their inherent network topology ranges from simple graphs to hypergraphs with high-order interactions and multiplex graphs with separate layers. An important graph mining task is node clustering, aiming to partition the nodes of an attributed network into k disjoint clusters such that intra-cluster nodes are closely connected and share similar attributes, while inter-cluster nodes are far apart and dissimilar. It is highly challenging to capture multi-hop connections via nodes or attributes for effective clustering on multiple types of attributed networks. In this paper, we first present as an efficient approach to attributed hypergraph clustering (AHC). includes a carefully-crafted K-nearest neighbor augmentation strategy for the optimized exploitation of attribute information on hypergraphs, a joint hypergraph random walk model to devise an effective AHC objective, and an efficient solver with speedup techniques for the objective optimization. The proposed techniques are extensible to various types of attributed networks, and thus, we develop as a versatile attributed network clustering framework, capable of attributed graph clustering, attributed multiplex graph clustering, and AHC. Moreover, we devise with algorithmic designs tailored for GPU acceleration to boost efficiency. We have conducted extensive experiments to compare our methods with 19 competitors on 8 attributed hypergraphs, 16 competitors on 6 attributed graphs, and 16 competitors on 3 attributed multiplex graphs, all demonstrating the superb clustering quality and efficiency of our methods.

A phase II, open-label, single-arm trial of pembrolizumab for recurrent meningioma and solitary fibrous tumor.

Atypical and anaplastic meningiomas account for 20% of all meningioma cases. Solitary fibrous tumor (SFT) is a type of soft tissue sarcoma with similar attributes to meningioma. For patients with refractory or recurrent disease after previous surgery or radiotherapy, there is no effective treatment. Pembrolizumab, an anti-programmed cell death 1 (PD-1) antibody, is an effective treatment for various solid tumors. PD-1 ligand is highly expressed in aggressive meningiomas. We aimed to assess the effectiveness of pembrolizumab in treating meningioma and SFT recurrence after surgery and radiation therapy. This prospective single-arm phase II trial comprised 15 patients with recurrent meningioma and 3 with anaplastic SFT, treated at a single institution during 2018 to 2022. The study was terminated due to a lack of efficacy and slow accrual. The primary endpoint was 6-month progression-free survival (PFS-6). Median progression-free survival (PFS) was 2.6 months, and median overall survival (OS) was 40 months. The 6- and 12-month PFS were both 11.1%. The 6- and 12-month OS were 94.4% and 61.1%, respectively. According to the Response Assessment in Neuro-Oncology (RANO) criteria, the overall response rate was 11%, with 2 patients achieving stable disease and 2 with partial response. Three patients (16.7%) developed grade 3 toxicity. Our results showed that pembrolizumab failed to improve PFS-6 in patients with aggressive meningioma or anaplastic SFT. However, two patients, one with atypical meningioma and one with anaplastic SFT, achieved a partial response. More clinical studies are needed to identify which subset of patients may benefit from this treatment.

ImageGP 2 for enhanced data visualization and reproducible analysis in biomedical research.

ImageGP is an extensively utilized, open-access platform for online data visualization and analysis. Over the past 7 years, it has catered to more than 700,000 usages globally, garnering substantial user feedback. The updated version, ImageGP 2 (available at https://www.bic.ac.cn/BIC), introduces a redesigned interface leveraging cutting-edge web technologies to enhance functionality and user interaction. Key enhancements include the following: (i) Addition of modules for data format transformation, facilitating operations such as matrix merging, subsetting, and transformation between long and wide formats. (ii) Streamlined workflows with features like preparameter selection data validation and grouping of parameters with similar attributes. (iii) Expanded repertoire of visualization functions and analysis tools, including Weighted Gene Co-Expression Network Analysis, differential gene expression analysis, and FASTA sequence processing. (iv) Personalized user space for uploading large data sets, tracking analysis history, and sharing reproducible analysis data, scripts, and results. (v) Enhanced user support through a simplified error debugging feature accessible with a single click. (vi) Introduction of an R package, ImageGP, enabling local data visualization and analysis. These updates position ImageGP 2 as a versatile tool serving both wet-lab and dry-lab researchers with expanded capabilities.

The Prognosis and Outcomes of Acutely Ill Patients Admitted to “Hospital-at-home” Programs Versus Patients with Similar Attributes Admitted to Internal Hospital Wards

Hospital-at-home programs have shown clinical and economic benefits globally but are still in the early stages in Israel for acute care. This study evaluated hospital-at-home units’ clinical, safety, and economic outcomes compared to internal wards. The study assesses hospital-at-home units’ clinical, safety, and economic outcomes versus internal wards for acutely ill patients. This retrospective matched cohort study assessed the impact of at-home hospitalization on patient survival. Patients admitted from the emergency room to at-home hospitalization were matched 2:1 with patients admitted to internal wards based on demographic and clinical characteristics using propensity score matching. The primary outcome was the rate of readmissions at 30 days. After matching, 645 individuals were included: 215 in the hospital-at-home group and 430 in the control group. Baseline characteristics were well-balanced. After 30 days, 6 individuals in the study group and 38 in the control group had died. The study group’s overall mortality rate was significantly lower (2.79% vs 8.84%, p = .0043). The hazard ratio for the control group compared to the study group was 1.907 (95% CI 1.227-2.963), indicating a 90% increased risk of death. The primary outcome of readmissions at 30 days did not differ significantly between groups. Secondary outcomes showed substantially lower healthcare resource use in the study group. Hospital-at-home units are a safe alternative to internal wards, offering significant mortality risk reduction and lower healthcare resource use. These findings support the feasibility of implementing hospital-at-home units for acute care in Israel.

Ruth W. Brunyate Wiemer: Implementing a Vision

Ruth Brunyate Wiemer, MA, OTR was instrumental in implementing the changes mandated by the adoption of the 1965 Bylaws which effectively separated the national occupational therapy association into a business league (American Occupational Therapy Association) and a charitable research focused organization (American Occupational Therapy Foundation). Wiemer may not be as well- known as her friend and colleague Wilma L. West, yet they shared similar attributes; West is known as the “thinker”, Wiemer was the “doer”. The paper’s focus is on Wiemer’s life, work, and her important contributions to the profession of occupational therapy.

Remarkable difference in structural relaxation dynamics of conventionally prepared bulk glass and vapor-deposited thin films.

The structural relaxation dynamics of conventionally prepared bulk glass of N,N'-bis(3-methylphenyl)-N,N'-diphenyl-benzidine (TPD) was measured by differential scanning calorimetry. The calorimetric data were quantitatively described in terms of the Tool-Narayanaswamy-Moynihan (TNM) model. The TNM parameters were evaluated using a combination of linearization and non-linear optimization methodologies: h*/R = 109.5 kK, ln(A/s) = -321, β = 0.37, x = 0.64. In addition, the TNM phenomenology was used to describe recently reported normalized thickness data of stable and aged thin TPD films measured by ellipsometry. The structural relaxation was found to proceed at a markedly higher rate in these thin films prepared by the physical vapor deposition compared to that of conventional bulk glass. This feature appears to be associated with the significantly narrower distribution of relaxation times (β ≅ 0.8) observed for stable thin film in "as-deposited" form with uniquely dense molecular packing. Interestingly, very similar attributes of the relaxation kinetics were also found in the aged thin film with a previously erased thermal history associated with the deposition.

The SOD1 Inhibitor, LCS-1, Oxidizes H2S to Reactive Sulfur Species, Directly and Indirectly, through Conversion of SOD1 to an Oxidase.

LCS-1, a putative selective inhibitor of SOD1, is a substituted pyridazinone with rudimentary similarity to quinones and naphthoquinones. As quinones catalytically oxidize H2S to biologically active reactive sulfur species (RSS), we hypothesized LCS-1 might have similar attributes. Here, we examine LCS-1 reactions with H2S and SOD1 using thiol-specific fluorophores, liquid chromatography-mass spectrometry, electron paramagnetic resonance (EPR), UV-vis spectrometry, and oxygen consumption. We show that LCS-1 catalytically oxidizes H2S in buffer solutions to form RSS, namely per- and polyhydrosulfides (H2Sn, n = 2-6). These reactions consume oxygen and produce hydrogen peroxide, but they do not have an EPR signature, nor do they affect the UV-vis spectrum. Surprisingly, LCS-1 synergizes with SOD1, but not SOD2, to oxidize H2S to H2S3-6. LCS-1 forms monothiol adducts with H2S, glutathione (GSH), and cysteine (Cys), but not with oxidized glutathione or cystine; both thiol adducts inhibit LCS-1-SOD1 synergism. We propose that LCS-1 forms an adduct with SOD1 that disrupts the intramolecular Cys57-Cys146 disulfide bond and transforms SOD1 from a dismutase to an oxidase. This would increase cellular ROS and polysulfides, the latter potentially affecting cellular signaling and/or cytoprotection.

A Unified Branch-Price-and-Cut Algorithm for Multicompartment Pickup and Delivery Problems

In this paper, we study the pickup and delivery problem with time windows and multiple compartments (PDPTWMC). The PDPTWMC generalizes the pickup and delivery problem with time windows to vehicles with multiple compartments. In particular, we consider three compartment-related attributes: (1) compartment capacity flexibility that allows the capacities of the compartments to be fixed or flexible, (2) item-to-compartment flexibility that specifies which items are compatible with which compartments, and (3) item-to-item compatibility that considers that incompatible items cannot be simultaneously in the same compartment. To solve the PDPTWMC, we propose an exact branch-price-and-cut algorithm in which the pricing problem is solved by means of a unified bidirectional labeling algorithm. The labeling algorithm can tackle all possible combinations of the studied compartment-related attributes of the PDPTWMC. Furthermore, we implement several acceleration techniques that allow to, among others, reduce the symmetry in the label extensions with empty compartments, the symmetry in the dominance between compartments with similar attributes, and the complexity of the algorithm with fixed compartment capacity. Finally, we introduce benchmark instances for the PDPTWMC and conduct an extensive computational campaign to test the limits of our algorithm and to derive relevant managerial insights in order to highlight the applicability of considering the studied compartment-related attributes. Funding: This work was supported by Nederlandse Organisatie voor Wetenschappelijk Onderzoek [Grant 439.18.459] and the Natural Sciences and Engineering Research Council of Canada [Grant 2017-06106]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2023.0252 .

Comparison of Physicochemical Properties, Antioxidants, and Aroma Profiles of Water- and Sodium-Hydroxide-Treated Natural Cocoa Powder.

Cocoa powder alkalization is an essential process in chocolate manufacturing, and traditionally, this process involves the use of alkaline agents, such as sodium hydroxide (NaOH), potassium hydroxide (KOH), and potassium carbonate (K2CO3). However, these methods involve harsh chemicals and energy-intensive procedures, raising significant environmental concerns. Water (H2O) has emerged as a promising alternative due to its safety, minimally harmful byproducts, and accessibility. Green chemistry principles have gained importance across industries, especially in food production, where sustainable practices are highly valued. This study aimed to develop a greener process by investigating the alkalization potential of H2O and comparing the results with those of NaOH. The particle size distribution, pH, color, antioxidant capacity, phenolic composition, and aroma profile of cocoa powders treated with H2O and NaOH were evaluated. The alkalization temperature significantly affected the color of the cocoa powders, and the alkali solution ratio influenced the L* values of H2O-treated powders. In industrial and commercial specifications, an ΔE value below 3 is considered standard for color measurements. Both H2O-treated and NaOH-treated natural cocoa powders had ΔE values exceeding 3 compared to the untreated powder, indicating that H2O treatment darkens the color in a similar way to that of traditional methods. While NaOH produced a darker color, process optimization allowed both H2O and NaOH treatments to achieve similar color attributes (ΔE < 3). Significant differences were observed in the antioxidant capacity and total phenolic content (TPC) between the H2O-treated and NaOH-treated cocoa powders. H2O treatment positively impacted the antioxidative properties of the cocoa powder. The antioxidant capacity, measured by the DPPH and CUPRAC methods, was significantly higher in H2O-treated samples (295.5-317.7 TEAC mg/100 g and 835-1542 TEAC mg/100 g, respectively) compared to NaOH-treated samples (256.6-306.2 TEAC mg/100 g and 171-849 TEAC mg/100 g, respectively). Additionally, the TPC of H2O-treated cocoa powder [281.3-321.6 gallic acid equivalent (GAE) mg/100 g] was significantly higher than that of NaOH-treated powder (100.0-298.6 GAE mg/100 g). The significant differences in the phenolic profiles suggested that the alkalization process affects individual phenolic compounds differently. Moreover, H2O-treated cocoa powders had significantly higher trimethylpyrazine/tetramethylpyrazine (TrMP/TMP) ratios than those of NaOH-treated samples, indicating notable differences in aroma profiles. This study suggests that H2O can replace NaOH in the alkalization process of the cocoa industry, particularly for lightly treated alkalized cocoa powders that maintain high antioxidant activity and TrMP/TMP ratios. This offers a more environmentally friendly, easily manageable, and sustainable process for cocoa powder alkalization.

Gender and racial price disparities in the NFT marketplace

This paper empirically investigates the causal impact of avatar gender and race on transaction prices within the Non-Fungible Token (NFT) marketplace. The impetus behind this investigation is grounded in the observation that NFT investors frequently represent a younger, wealthier, and politically progressive demographic, which raises the question of whether this marketplace is less susceptible to prejudice and social bias. Contrary to such expectations, our analysis reveals pronounced gender and racial disparities in NFT prices. Specifically, female CryptoPunks avatars are transacted at a 36.8% lower price compared to their male counterparts (i.e., avatars with similar image attributes), while black CryptoPunks avatars are transacted at a 30.7% lower price compared to their white counterparts. We further identify that avatar features linked to high-tech or higher education attributes (e.g., 3D glasses, Virtual Reality glasses, Nerd glasses) can effectively counter these disparities. We verify the causal patterns revealed in the NFT dataset with a controlled experiment, where NFT buyers are randomly shown the comparable avatars that exhibit variations in race or gender, enabling us to evaluate the impact of these attributes on buyer choices and willingness-to-pay. The experiment confirms the gender (male) and race (white) price premium in the NFT market and suggests that buyers exhibit a preference for NFT avatars resembling their personal identity. We offer insights into policy strategies aimed at promoting racial and gender equity within the NFT marketplace.

Microclimatic Zonation and Climatic Variability of Sikkim Himalaya

The Köppen classification of climate integrates precipitation and temperature information with natural vegetation patterns to create a precise representation of any particular region's climate. This integration depends on the empirical relationship of climate and vegetation, which indicates that distinct locations in the same class have similar vegetation attributes. Köppen climatic classification factors are explained and Sikkim's climate characteristics are regionalized based on it. The method for making representations of air temperatures and precipitation has been described, and an illustration of Sikkim's climatic zones with variability is generated as a result of these changes. The geographic pattern of climatic types and subtypes in Sikkim has been briefly addressed using an available high-resolution gridded dataset (ERA5-Land). This is described that the constraints of microclimatic zonation emanate from the empirical prerequisite of climate classifications, as well as the nature of data selection and the methodologies employed for climate variability analysis and classification. Based on the Köppen classification for the long term (1980–2021), the Sikkim Himalaya contains three primary climatic classes, particularly ETc (cold, tundra, and cool summer), Cfc (moderately warm, humid, and cool summer), and Cfb (moderately warm, humid, and warm summer). Climate variability on the basis of temperature and precipitation change with respect to 1980–2021 over the entire Sikkim Himalaya concludes that the climatic pattern of the Sikkim has been changed from cold-dry to warm-wet. The alteration in the corresponding climatic pattern is further supported by changes in LULC and NDVI. The results suggest that the precipitation change in the past two decades (1980–2000) is negative, while a significant positive change has been noticed in the recent two decades (2001–2021). Subsequently, the number of extremely wet days decreases in the entire ETc and Cfc climate zones. Regardless, the southern part of the Cfb climatic zone has experienced an increase in extremely wet days. This study's findings will significantly contribute to the development of future policies and initiatives by providing insights crucial for achieving sustainable development, environmental protection, and climate change adaptation.

A novel konjac rice formula with glucomannan and tapioca starch improve postprandial glycemic response – a randomized single-blind clinical trial

PurposeDue to white rice’s association with diabetes and other chronic diseases in many Asian countries, many industries are working to develop high-fiber rice substitutes with similar organoleptic characteristics. Konjac rice (KR) is a promising option, but maintaining its optimal fiber content for health benefits while preserving its ideal sensory profile remains a challenge. This study aims to investigate whether a KR formula, combining tapioca flour and glucomannan gel, possesses similar organoleptic attributes to white rice while preventing glycemic response elevation.Design/methodology/approachIn a six-week randomized single-blind clinical trial, 13 normoweight nondiabetic subjects received varying konjac-based rice and white rice ratios. Blood glucose levels were measured at intervals, and glycemic response was assessed using incremental area under the curve (iAUC). Visual analog scale gauged satiety, and organoleptic properties were evaluated.FindingsSubstituting white rice with pure and partial konjac-based rice significantly lowered postprandial blood sugar levels and glycemic response (p = 0.002). iAUC for pure KR and KR 1:1 was notably lower than white rice (p = 0.002). Subjects reported a sense of fullness comparable to white rice, with no significant organoleptic score differences (p = 0.260).Research limitations/implicationsThe study’s generalizability is compromised due to the limited number of participants, impacting external validity. The examined parameters offer a rough understanding of konjac grain’s impact on postprandial glycemic responses but do not elucidate underlying mechanisms or the duration of its inhibitory effect on glucose absorption. Long-term effects on metabolic, hormonal parameters and the colon’s microbial flora composition and function remain unexplored, constraining comprehensive insights into konjac grain’s extended implications.Practical implicationsThis study introduces a novel KR formula to address the escalating diabetes risks associated with white rice consumption. Substituting white rice with KR significantly reduces postprandial blood sugar levels, highlighting its potential in preventing type 2 diabetes (T2D). Tapioca flour enhances palatability, making KR a viable option. While promising, long-term effectiveness and safety require further research, emphasizing comprehensive lifestyle interventions. The study contributes valuable insights to innovative dietary strategies for prevalent health conditions, emphasizing the need for ongoing efforts in public health.Social implicationsWhite rice, a staple in Asian societies, is linked to a heightened risk of T2D due to increased production and inadequate dietary fiber. This connection contributes to the economic burden on governments through health insurance and lost productivity. Encouraging alternatives rich in fiber can mitigate this burden, offering a socioeconomically beneficial solution to preventable chronic diseases.Originality/valueThis trial demonstrates konjac-based rice’s potential in curbing glycemic responses, hinting at its role in preventing T2D. Glucomannan’s viscosity, satiety induction and potential gut health impact are highlighted. Further research is warranted for long-term effectiveness and safety. These findings contribute to the growing evidence supporting glucomannan as a valuable tool in addressing prevalent health conditions.

Integrative model of servant leadership style and critical pedagogy: Answers to school leadership of neoliberalism

This study aimed to analyse servant leadership's attributes in the theory and practice of critical pedagogy and find commonalities that produce an integrative model that will answer to the school leadership of neoliberalism. The study found an integrative model between servant leadership style and critical pedagogy that includes similar attributes of servant leadership and critical pedagogy related to the dimensions of transcendental spirituality, emotional healing and putting students first, creating value for the community, empowering students and helping students develop and succeed, demonstrating conceptual skills and behaving ethically. This integrative model is a constructive answer to the implementation of school leadership of neoliberalism.

Evolutionary and Expression Analysis of the Pig MAGE Gene Family.

The melanoma-associated antigen (MAGE) family found in eukaryotes plays a crucial role in cell proliferation and differentiation, spermatogenesis, neural development, etc. This study explored the validation and evolution of MAGE genes in eukaryotic genomes and their distribution and expression patterns in pigs. In total, 249 MAGE genes were found on 13 eukaryotic species. In total, 33, 25, and 18 genes were located on human, mouse, and pig genomes, respectively. We found eight, four, and three tandemly duplicated gene clusters on the human, mouse, and pig genomes, respectively. The majority of MAGE genes in mammals are located on the X chromosome. According to the phylogenetic analysis, the MAGE family genes were classified into 11 subfamilies. The NDN gene in zebrafish (DreNDN) was the root of this evolutionary tree. In total, 10 and 11 MAGE genes on human and mouse genomes, respectively, exhibited a collinearity relationship with the MAGE genes on pig genomes. Taking the MAGE family genes in pigs, the MAGE subfamilies had similar gene structures, protein motifs, and biochemical attributes. Using the RNA-seq data of Duroc pigs and Rongchang pigs, we detected that the expression of type I MAGE genes was higher in reproductive tissues, but type II MAGE genes were predominantly expressed in the brain tissue. These findings are a valuable resource for gaining insight into the evolution and expression of the MAGE family genes.

Susceptibility to Liquefaction of Iron Ore Tailings in Upstream Dams Considering Drainage Conditions Based on Seismic Piezocone Tests

One of the critical challenges facing the mining sector is related to the prevention and mitigation of catastrophic incidents associated with its tailing dams. As mining tailings are very heterogeneous and field characterization is expensive and complex, geotechnical properties of these materials are largely unknown. The seismic cone penetration test (SCPTu) provides a field approach to estimate a large array of geotechnical information, including the liquefaction potential of tailing dams. Yet, the exploration of strain softening behaviors in geomaterials under undrained loading, utilizing the state parameter (ψ) inferred from SCPTu tests initially applied to soft soils, has been often used for mining tailings. This study is concerned with the implementation of a tailing classification system which uses the ratio between the small strain shear modulus and the cone tip resistance (G0/qt). A series of laboratory tests was executed, and three different methodologies were adopted to assess the effects of (partial) drainage conditions based on 531.26 m of SCPTu measurements conducted at three different upstream iron ore tailing dams in Brazil. Furthermore, the G0/qt ratio is integrated with ψ to assess the liquefaction tendencies of the investigated materials. The findings reveal the heterogeneous nature of the tailings, wherein indications of partial drainage are discernible across numerous records. Liquefaction analyses demonstrate that the tailings exhibit a contractive behavior in over 94% of the SCPTu data, confirming their susceptibility to flow liquefaction. Our findings are relevant for site characterization within iron ore tailing dams and other mining sites with similar geotechnical attributes.

Clogging transition of granular flow in porous structures

The clogging transition of granular flow through a disordered porous structure is investigated by three-dimensional discrete element simulations. Results reveal the existence of an intermittent flow state, which has been already observed for active particles or agitated grains, but is absent in single-pore flows of passive particles. Interestingly, the analysis of the intermittent dynamics shows similar attributes to the bottleneck flow of active grains, i.e., exponential distribution of flowing intervals and power-law tails for the clogging times. Precisely, based on the exponent of the power-law tail, a clogging phase diagram for porous structures is proposed in the plane of the scaled pore size D/dp and the friction coefficient μs. Then, we demonstrate that the intermittency arises from a delay in the dissipation of particles' kinetic energy after clogging imposed by the porous structure. Finally, the maximum achievable particle flow rate driven by gravity is predicted from the Froude number Frm, which linearly scales with the pore size and the friction coefficient. Published by the American Physical Society 2024

Et tu Brute? The Roles of Subordinate-Supervisor Similarities on the Relationship between Abusive Supervision and Employee Silence Behavior: A Study from the Subordinates' Perspectives.

The current study examined the moderating effects of subordinate-supervisor similarities on abusive supervision and employee silence relationships. We addressed the question of whether employees' silence reactions are alleviated or aggravated when the abuse comes from a supervisor who shares a similar gender and other sociodemographic attributes with the employee. The results indicated that abusive supervision led to more silence behavior and supported the moderating effect of perceived sociodemographic similarity on this relationship. However, regardless of gender similarities with their supervisors, the findings postulated that employees experiencing abusive supervision were more likely to remain silent at work. When there is a perceived sociodemographic similarity between the employee and the supervisor, abusive supervision has been found to have a harsher influence on employee's silence behavior. These findings help us better understand the antecedents of employee silence behavior and provide important implications for subordinate-supervisor similarity dynamics in exposure to abusive supervision.