Static Factor Research Articles

IDENTIFYING BARRIERS AND ENABLERS TO EXERCISE ADHERENCE IN PEOPLE WITH CHRONIC LOW BACK PAIN: A QUALITATIVE STUDY

INTRODUCTION Exercise leads to clinically meaningful pain reductions in people with chronic low back pain and is recommended as a first line treatment. However, it has been shown that exercise effectiveness decreases over time and no longer has a meaningful effect for chronic low back pain at long-term follow up. It is likely that a lack of exercise adherence is a major contributing factor responsible for these reductions in efficacy. We aimed to identify the barriers and enablers to exercise adherence from the perspective of people with chronic low back pain. METHODS This qualitative study was underpinned by a constructivist epistemology and used a critical realist ontological perspective. Adults (18-65yrs) with chronic low back pain who had exercised since the onset of their back pain were recruited to participate in focus groups and individual interviews. Audio data were transcribed and then analysed in two stages: (1) inductive coding using reflexive thematic analysis, followed by (2) deductive analysis through mapping codes onto the Theoretical Domains Framework. RESULTS Five enablers and three barriers were identified across six of the fourteen Theoretical Domain Framework domains. Exercise identity and confidence in deciding to self-manage pain were enablers, whereas beliefs about the consequences of exercise, exercise context and relationships could function as either/both barriers and enablers. CONCLUSION Analysis of these barriers and enablers found that they were not static factors isolated to influencing a single decision of ‘to exercise or not’. Instead barriers and enablers were complex and fluid, with participants reporting conflicting barriers and enablers that were subject to change, depending on context. These findings improve our understanding of the barriers and enablers to exercise adherence from the individual perspective of people with chronic low back pain and can be utilised for more effective exercise treatment in this population.

Trends and Factors Influencing the Evolution of Spatial Patterns of Cropland toward Large-Scale Agricultural Production in China

Considering the essential expansion of agricultural production, current research primarily focuses on static factors, such as the distribution of fine-grained arable land, omitting an in-depth analysis of its developmental dynamics and key drivers. Addressing this knowledge gap is crucial for enhancing the scalability of agricultural production. This research utilizes landscape ecology techniques, correlation analysis, random forest algorithms, and structural equation modeling to explore spatial pattern trends of arable land in the Beijing–Tianjin–Hebei region. Its objective is to clarify how the expansion of agricultural production scale affects food production through changes in arable land patterns and to determine the impact of socio-economic factors on these configurations. The results show that: (1) the landscape pattern of arable land is transitioning to a more fragmented arrangement with complex contours, (2) grain yield per unit area correlates positively with the landscape pattern index in Beijing, negatively in Hebei, and exhibits no significant correlation in Tianjin, and (3) land ownership plays a crucial role in land fragmentation, alterations in land morphology, and influences other socio-economic variables. Analyzing the spatial pattern of arable land in conjunction with socio-economic factors is essential for developing holistic land management approaches, improving resource efficiency, minimizing external inputs, and mitigating food security challenges.

3D Printed Self-Sensing Cementitious Composites Using Graphite and Carbon Microfibers

Abstract Cementitious materials possessing self-sensing properties conferred through the incorporation of conductive fillers have attracted significant interest in the research community due to their potential application to structural health monitoring (SHM) of civil infrastructure. A key advantage of cementitious sensors is that they can be organically embedded within cementitious structures to provide extremely robust monitoring capabilities. Of interest to this paper, the integration of cementitious sensors could be critical in empowering the 3D printing of cementitious composites by enabling real-time monitoring of additive manufacturing. Such integration could be achieved by 3D printing self-sensing cementitious nodes during the fabrication process. 3D printed self-sensing cementitious sensors could also be topologically engineered to achieve new opportunities in sensing of existing and new concrete and other cementitious structures. This paper presents one of the earliest studies, if not the first, on the 3D printing of self-sensing functionalized composites. The self-sensing cementitious composite sensors are fabricated using a cementitious matrix doped with graphite (G) and carbon microfibers. Various mixtures are studied, in particular G-only, G with milled carbon microfibers (MCMF), G with chopped carbon microfibers (CCMF), and G with MCMF and CCMF. A study of the percolation curves reveals that it is possible to attain electrical percolation using these conductive particles to create strain-sensitive sensors by leveraging the boosted piezoresistive effect. A study of strain sensing performance conducted on various specimens fabricated using different mixture types reveals the optimal concentration of dopants under different types of conductive particles. It is found that the optimal mixture that yields optimal performance also improves the Young’s Modulus of the specimens by 42.2% compared to cement-only specimens. Overall, this optimal mixture composed of 10% weight-to-cement G (10 wt% G), 0.250 wt% MCMF, and 0.125 wt% CCMF yielded a static gauge factor of 622, a resolution of 167 με, an accuracy of 19.24 με, and a Young’s Modulus of 798 MPa.

Validity and reliability of the Violence Risk Scale-Sexual Offense version in a community sexual offense outpatient setting.

The present study examined the convergent, structural, and predictive properties of Violence Risk Scale-Sexual Offense version (VRS-SO) scores in a sample of 200 men on community supervision for sexual offenses, attending forensic community outpatient services and followed up an average 8.6 years. The VRS-SO and two additional dynamic sexual recidivism risk measures-STABLE 2007 and Sex Offender Treatment Intervention and Progress Scale (SOTIPS)-were coded archivally from clinic files; Static-99R ratings were extracted. Recidivism data were captured from Royal Canadian Mounted Police records. VRS-SO static, dynamic, and total scores demonstrated expected patterns of convergence with total and subscale scores of the risk measures. Moreover, a confirmatory factor analysis of the VRS-SO dynamic item scores demonstrated acceptable model fit for a correlated three-factor solution consistent with prior confirmatory factor analyses. Discrimination analyses demonstrated that VRS-SO dynamic and total scores and STABLE 2007 scores had large prediction effects for 5-year sexual recidivism (area under the curves [AUCs] = .71-.72) while SOTIPS had a medium effect for this outcome (AUC = .67); the measures yielded medium to large effects for nonsexual recidivism. Cox regression survival analyses demonstrated that VRS-SO dynamic, Sexual Deviance factor, and SOTIPS scores each incrementally predicted sexual recidivism controlling for Static-99R or VRS-SO static factor scores. VRS-SO calibration analyses demonstrated that expected or predicted 5-year sexual recidivism rates showed generally close correspondence to the rates predicted or observed in the present community sample. Results support the psychometric properties of the VRS-SO, a sexual violence risk assessment and treatment planning measure, to a community outpatient sample. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Nonlocal strain gradient-based dynamic stability of functionally graded piezoelectric nanoshells considering thermo-electro-mechanical coupling effects

In this paper, a nonclassical shell model is utilized to investigate the dynamic stability of functionally graded piezoelectric (FGP) nanoshells considering the thermo-electro-mechanical coupling effects. Also, the FGP nanoshells on elastic foundations are subjected to periodic axial loading. The theoretical formulations are derived by implementing the first-order shear deformation (FSD) shell theory into the nonlocal strain gradient theory (NSGT). Hamilton’s principle is utilized to obtain the equations of motion and related boundary conditions of the present nanoshell model. Moreover, the Mathieu-Hill equations determining the instability regions are presented and analyzed based on Bolotin’s method. Results demonstrate that the external electric voltage, the elastic foundations, the temperature rise, the static load factor, the power-law index and the small-scale parameters have significant influences on the dynamic stability responses of FGP nanoshells.

Space-time modeling of landslide size by combining static, dynamic, and unobserved spatiotemporal factors

Landslide spatial prediction using data-driven models has predominantly concentrated on predicting where landslides may occur. Nevertheless, few researchers have turned to jointly modeling how large and when landslides will be for a given terrain unit. This study proposes a data-driven model capable of estimating how large landslides may be, for the entire Taiwan main island in a fourteen-year time window. To address this task, we implement a space–time generalized additive model to fit the complex relationships between environmental factors and landslide size. In addition to incorporating static and dynamic covariates into the modeling process, the model takes into account spatial and temporal interactions to elucidate the spatiotemporal variations affecting landslide size. To test the effectiveness of the model, we employ a comprehensive set of cross-validation (CV) procedures, includes a randomized 10fold-CV, a spatially constrained CV, a temporal leave-one-year-out CV, and a spatio-temporal CV. The experimental results demonstrate that the space–time model delivers acceptable and interpretable prediction outcomes, demonstrating the ability to predict landslide area for a given slope unit within a specified time period. We believe that the space–time landslide modeling will lay the foundation for landslide community to analyze landslide characteristic within a dynamic context. Furthermore, given its inherent spatio-temporal nature, we anticipate that this approach may pave the way for simulation studies exploring diverse climate scenarios.

The Impact of Praise on Cooperative Behavior in Three-Player Public Goods Games and Its Gender Differences.

Previous research has primarily focused on static factors influencing cooperative behavior in social dilemmas, with less attention given to dynamic factors within group social interactions, such as positive feedback received during interactions, i.e., praise. This study, through a between-subjects online experiment with a single-factor, two-level design (praise: public praise/no praise), investigates the impact of praise on cooperative behavior changes across two rounds of a three-player public goods problem. Results revealed the following: (1) A positive correlation between individuals' contributions across two rounds and a negative correlation with the number of correct answers in rule comprehension questions were evident; for men, a correlation between rule comprehension and first-round contributions was observed. (2) Multilevel model results showed that praise, role, and rule comprehension significantly positively affected contribution changes across two rounds; gender did not significantly affect contribution changes. Specifically, under public-praise conditions, contribution changes were greater. Publicly praised individuals showed positive or negative behavior changes, while those not praised in the same group showed positive changes. Men contributed significantly more in the first round than women, with no gender difference found in contribution changes. Rule comprehension positively predicted contribution changes, indicating that more correct answers led to greater positive changes in contributions. These results not only support the inferential social learning perspective, suggesting that through praise, individuals can infer external world perceptions and self-evaluations, affecting both the praised (positively or negatively) and positively influencing non-praised individuals in the same group, but also provide a theoretical basis and intervention strategies for team and organizational management in groups.

Search for Optimal Parameters in the Control Structure of a Surgical System for Soft Tissue Operations Based on In Vitro Experiments on Cardiovascular Tissue

The surgical robots currently used in cardiac surgery are equipped with a remote center of motion (RCM) mechanism that enables the required spherical workspace. The dynamics model of the surgical robot’s RCM mechanism presented in this work includes a direct current (DC) motor, an optimal proportional–integral–derivative (PID) controller, and a LuGre friction model that takes into account the Stribeck effect and surface deformation. A finite element method (FEM) analysis of transients was carried out using the energy hypothesis of von Mises with an optimal input signal from the mechatronic system with a PID controller obtained using the Runge–Kutta differentiation method in the Dormand–Prince ordinary differential equations variant (ODE45). Five criteria were adopted for the objective function: the safety factor related to the stress function in the time-varying strength problem, the first natural frequency related to stiffness and the resonance phenomenon, the buckling coefficient in the statics problem related to stability, the static factor of safety, and the displacement of the operating tip. The force inputs to the dynamics model were derived from in vitro force measurements on cardiovascular tissue using a force sensor. The normality of the statistical distribution of the experimental data was confirmed using the Kolmogorov–Smirnov statistical test. The problem of multi-criteria optimization was solved using the non-sorter genetic algorithm (NSGA-II), the finite element method, and the von Mises distortion energy hypothesis. Velocity input signals for the transient dynamics model were obtained from a second in vitro experiment on cardiovascular tissue using the minimally robotic invasive surgery (MIRS) technique. An experienced cardiac surgeon conducted the experiment in a modern method using the Robin Heart Vision surgical robot, and a system of four complementary metal–oxide–semiconductor (CMOS) optical sensors and ariel performance analysis system (APAS-XP 2002) software were used to obtain the endoscopic tool trajectory signal. The trajectory signal was accurate to ±2 [mm] in relation to the adopted standard, and it was smoothed using the Savitzky–Golay (SG) polynomial smoothing, whose parameters were optimally selected using the Durbin–Watson (DW) statistical test.

Solution of wide and micro background bias in contrastive action representation learning

In recent years, contrastive learning has made great progress in the field of computer vision, which shows great potential in action representation learning. Current contrastive learning methods usually employ contrastive loss function to learn video motion representation, which attend to capturing the similar background appearance but ignore similar motion information. This problem is called background bias, which restricts the model from exploring motion patterns. The background bias can be divided into wide background bias and micro background bias. The wide background bias refers to the statistically significant background bias, while the micro background bias refers to the background bias directly interacting with the moving object. To tackle these problems, this paper first proposes a semi-negative pair merging foreground–background, which mainly decouples the dynamic factor with obvious motion and the static factor with stable invariants in the video frame sequence. Then the dynamic factor of the original video is fused with other static factors to obtain a random background image where the foreground is more similar than the background to solve the wide background bias. Secondly, a pixel-level motion aware representation decomposition module calculates the pixel-level intensity variations from the feature space of adjacent frames, and these variations are further accumulated to obtain the salient map that focuses on the boundaries of moving objects, so the model attends to the motion pattern rather than the background to solve the micro background bias. Furthermore, a new dual loss function is proposed based on joint wide and micro background bias to better capture both static and dynamic features. The heat map shows that the proposed method effectively can solve background bias and achieve better performance in public datasets compared with other existing methods.

An improved low‐carbon intelligent agriculture system with energy optimization principles using wireless IoT environment

AbstractA low‐carbon agricultural plan and intelligent agriculture control system are designed and completed with a green economy to foster the significant expansion of green resources and environmental assets. This research employs a fixed‐effect panel model to examine the farming cumulative energy savings in 11 cities and regions along the Yamuna Tributary Commercial Region, focusing on both static and dynamic factors. The directional linear equation and the Malmquist–Luenberger (ML) indicator are the key analytical tools. Unlike conventional techniques, regression analysis using cross‐sectional data is the primary tributary. Research has found that a 5.9% decrease in the literacy rate of the working force had a large impact on farming energy efficiency and that for each 1% rise in crop losses, farm energy efficiency would decrease by 0.487%. In addition to mitigating the detrimental effects of industrial design and mechanization on agricultural output, this effort aids in the advancement of smart city design. This activity paves the way for cutting‐edge technology by encouraging people to move to cities, educating the workforce, and giving money to the agricultural sector. The ability of proposed model gives the smart agriculture system with intelligent control principles and energy optimization principles in the deployed wireless‐IoT platform. On this research problem, this paper contributes to new knowledge by approaching agricultural energy efficiency from a green economy perspective, conducting regression analyses of panel data on the most important influencing factors using the advanced statistical analysis tool Eviews, and then drawing the conclusion from the evaluation of metrics that affect farming energy efficiency in our nation. Enhancing productivity while also fostering long‐term growth in the agricultural ecosystem is crucial. It contributes for smart and green technologies adaptation in agriculture filed.

Calibration and Experimentation of Discrete Elemental Model Parameters for Wheat Seeds with Different Filled Particle Radii

A Gas–solid two-phase flow coupling simulation is widely used to study the working process of pneumatic seed dischargers. Due to the demand for deterministic particle orbit numerical calculation models, seeds are mostly modeled using the particle aggregation method, where the seed model is formed through particle aggregation bonding without overlapping. The smaller the radius and the more filled ball particles used in this method, the closer they resemble the real morphology of the seed. However, this results in the over-consumption of simulation computational resources and simulation time growth. In this study, we used wheat seeds as the research object, studied the effect of seed models with different filled ball radii on the kinetic response characteristics between the particles, and searched for the optimal number of filled ball particles for the seed model. With the help of three-dimensional scanning and inverse fitting methods to obtain the seed profile, we used different radii (0.2 mm, 0.24 mm, 0.28 mm, 0.32 mm, 0.36 mm, and 0.4 mm) to fill the ball particles, and formed a wheat particle bonding model for a gas–solid coupling simulation. We used a combination of real tests and simulation measurements of bottomless cylinder-lifting and slip-stacking. The interspecies static and dynamic friction factors in seed models with different radii of filled spherical particles were first calibrated using the angle of repose as an index. Then, the parameters were verified using bottomless cylinder lifting and slip stacking tests, which used the coefficient of variation for the simulation test’s angle of repose as an index. Our results show that the smaller the radius of the filled ball, the closer the simulation results were to the real value. Validation was conducted using a gas–solid coupling simulation of an air-blown wheat seed discharger, with the seed filling rate as an index. Our results showed that the simulation length and simulation accuracy were optimal when the radius of the filling particle was 0.32 mm.

ВИНИКНЕННЯ І РОЗВИТОК ТРІЩИНОУТВОРЕННЯ В ГІРСЬКИХ ПОРОДАХ ПРИ СТАТИЧНОМУ НАВАНТАЖЕННІ

The paper examines the occurrence and development of cracks in rocks under static loads, various conditions and factors of crack initiation and development. For comparison, such rocks as concrete, granite, sandstone, plasterboard are taken. This is said to help the cracks in the rock spread in the right direction. The technology of crack formation with the help of insert plates under the action of non-explosive mixtures is considered. When modeling, the minor and major axes of the ellipse around the insert of the plate with holes are taken. Construct isolines of rock destruction at a point in the form of ellipses. Determine the most likely direction of cracks during rock destruction. The conditions for the development of cleavage cracks relative to the axes of anisotropy with maximum and minimum strength are considered. The theoretical and experimental justifications of the rational technological parameters of mining stone blocks by the hole method by the formation of a separation crack in the rock in a given direction have been studied. The determination of the plane stress state around a hole with a 5- and 8-mm-thick insert plate is studied, and equivalent stress diagrams are given. The methods of directional destruction and the occurrence of cracks in rocks when pouring non-explosive mixtures into wells and inserting cartridges with a destructive substance into wells are considered. It clearly shows the greater efficiency of using cartridges that guarantee the appearance of cracks in a precisely specified direction. The influence of the load scheme on the development of a splitting crack in holes with stress concentrators is presented. The model for the analysis of crack formation at the tops of stress concentrators is considered. Non-explosive methods of directional destruction of monoliths using special structures are described. Considered patents for static rock splitting. The results of destruction over a certain time are given. In addition, non-explosive mining of gabbroid rock blocks using destructive mixtures together with surface-active substances is considered.

Experimental study on static and dynamic mechanical properties of composite buffer with entangled metallic wire materials and viscous fluid

This article proposes a composite buffer based on two characteristics: porous throttling and damping energy dissipation of entangled metal wire material (EMWM). A series of quasi-static tests and low-speed impact tests were carried out to analyze its stiffness and damping characteristics. The filling degrees of cushioning force curves and energy absorption rate were proposed as quantitative evaluation indicators for the composite buffer under low-speed impact. Test results showed that the stiffness and damping of the composite buffer layer increase with the increasing density of the EMWM damping layer under quasi-static conditions, but the static loss factor fluctuates. Under low-speed impact load, the composite buffer demonstrates stable force output, with an energy absorption rate above 85% and favourable filling degrees. This work provides a practical reference for its engineering application.

Too risky to use, or too risky not to? Lessons learned from over 30 years of research on forensic risk assessment with Indigenous persons.

Indigenous peoples are overrepresented in correctional systems internationally, reflecting a history of systemic racism and colonial oppression, and the practice of risk assessment with this population has been a focus of legal and sociopolitical controversy. We conducted a systematic review and meta-analysis of the risk assessment literature comparing Indigenous and non-Indigenous (White majority) groups. We retrieved 91 studies featuring 22 risk tools and 15 risk/need/cultural domains (N = 59,693, Indigenous; N = 237,729, non-Indigenous/White) and four documents identifying culturally relevant factors. Most measures demonstrated moderate predictive validity but often had significant ethnoracial differences, particularly for static measures. The Service Planning Instrument/Youth Assessment Screening Inventory, Level of Service Inventory youth variants, Psychopathy Checklist-Revised and Youth Version, and the Violence Risk Scale and its Sexual Offense version had the strongest predictive validity and least ethnoracial discrepancy. The Static Factors Assessment and Dynamic Factors Identification and Analysis-Revised had the weakest predictive validity. For Indigenous persons, the strongest individual predictors of recidivism were low education/employment, substance abuse, antisocial pattern, and poor community functioning, while mitigating factors that predicted decreased recidivism were measures of risk change (i.e., from culturally integrated programs combining mainstream and traditional healing approaches), cultural engagement/connectedness, and protective factors. In practice, static measures need to be supplemented with dynamic ones, and assessors should select measures with at least moderate predictive validity and ideally the least ethnoracial bias. These conclusions are tempered by the quantity and quality of the literature coupled with the circumstance that some study authors have coauthored tools in this review. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Cognitive and social-cognitive factors as mediators of aggression using structural equation modeling

ABSTRACT Violence and aggression continue to be both public health and economic concerns. In an effort to better understand, predict, and prevent violence and aggression, a number of models have been proposed that include both static and dynamic risk factors and indicators. Despite research demonstrating links between cognitive and social-cognitive factors with violence and aggression, their role in understanding violence is still unclear. The current study developed a multi-faceted model of aggression including social-cognitive, cognitive, personality, and psychiatric factors. A community, male sample (N = 1,192) collected through Amazon’s Mturk responded to a series of self-report measures and a cognitive task. Utilizing structural equation modeling (SEM), we created a latent variable path analysis model predicting aggression. Several important paths were significant including from entity theory to aggression, mediated by hostile attribution bias, schizotypy to aggression, mediated by both hostile attribution bias and disinhibition, substance use to aggression mediated by disinhibition, and psychopathy to aggression directly. This model provides a framework for future research that focuses on process factors of violence and aggression, including social-cognitive and cognitive, that may eventually prove valuable for risk reduction.

3D Size-Dependent Dynamic Instability Analysis of FG Cylindrical Microshells Subjected to Combinations of Periodic Axial Compression and External Pressure Using a Hermitian C2 Finite Layer Method Based on the Consistent Couple Stress Theory.

This work develops a three-dimensional (3D) weak formulation, based on the consistent couple stress theory (CCST), for analyzing the size-dependent dynamic instability behavior of simply-supported, functionally graded (FG) cylindrical microshells that are subjected to combinations of periodic axial compression and external pressure. In our formulation, the microshells are artificially divided into nl layers. The displacement components of each individual layer are selected as the primary variables, which are expanded as a double Fourier series in the in-plane domain and are interpolated with Hermitian C2 polynomials in the thickness direction. Incorporating the layer-wise displacement models into our weak formulation, we develop a Hermitian C2 finite layer method (FLM) for addressing the current issue. The accuracy and the convergence rate of our Hermitian C2 FLM are validated by comparing the solutions it produces with the accurate two-dimensional solutions of critical loads and critical pressures of FG cylindrical macroshells and single-walled carbon nanotubes, which were reported in the literature. The numerical results show the effects of the material length-scale parameter, the inhomogeneity index, the radius-to-thickness and length-to-radius ratios, the load magnitude ratio, and the static and dynamic load factors on the first principal and first secondary instability regions of parametric resonance of simply-supported FG cylindrical microshells are significant.

The effectiveness of glucocorticoid treatment in post-COVID-19 pulmonary involvement

RationalePersistent respiratory symptoms following Coronavirus Disease 2019 (COVID-19) are associated with residual radiological changes in lung parenchyma, with a risk of development into lung fibrosis, and with impaired pulmonary function. Previous studies hinted at the possible efficacy of corticosteroids (CS) in facilitating the resolution of post-COVID residual changes in the lungs, but the available data is limited.AimTo evaluate the effects of CS treatment in post-COVID respiratory syndrome patients.Patients and methodsPost-COVID patients were recruited into a prospective single-center observational study and scheduled for an initial (V1) and follow-up visit (V2) at the Department of Respiratory Medicine and Tuberculosis, University Hospital Olomouc, comprising of pulmonary function testing, chest x-ray, and complex clinical examination. The decision to administer CS or maintain watchful waiting (WW) was in line with Czech national guidelines.ResultsThe study involved 2729 COVID-19 survivors (45.7% male; mean age: 54.6). From 2026 patients with complete V1 data, 131 patients were indicated for CS therapy. These patients showed significantly worse radiological and functional impairment at V1. Mean initial dose was 27.6 mg (SD ± 10,64), and the mean duration of CS therapy was 13.3 weeks (SD ± 10,06). Following therapy, significantly better improvement of static lung volumes and transfer factor for carbon monoxide (DLCO), and significantly better rates of good or complete radiological and subjective improvement were observed in the CS group compared to controls with available follow-up data (n = 894).ConclusionBetter improvement of pulmonary function, radiological findings and subjective symptoms were observed in patients CS compared to watchful waiting. Our findings suggest that glucocorticoid therapy could benefit selected patients with persistent dyspnea, significant radiological changes, and decreased DLCO.

Pemodelan Numerikal Kestabilan Lereng Batulempung (Studi Kasus Ruas Jalan Sumedang-Cirebon Km 68+750)

The Sumedang-Cirebon Km 68+750 road section is a national road and an important transportation infrastructure in West Java. Albeit the road section's slope has previously been strengthened with bored pile reinforcement, the slope continues to move. This study's objective is to examine slope stability by considering earthquake loads and to suggest improvements for efficient slope reinforcement. Slope stability analysis utilizing PLAXIS 2D program based on the finite element method and DMT-KD Method which is the result of field testing using the Flat Dilatometer Test (DMT)). PLAXIS modeling results show that the slope failure line is deeper below the bored pile reinforcement. The results of the analysis using DMT-KD method showed similar slope failure, the conclusion is DMT-KD method can be the initial basis for slope stability analysis on mudstone. The PLAXIS modeling results obtained a static safety factor of 1.113 and a safety factor due to an earthquake of <1, both of which fall short of the requirements of minimum of 1.5 for static loads and 1.4 for earthquake loads. The body of the road develops cracked as a result of this issue. Additional reinforcement modeling is carried out using bored piles and gabions. As shown in the results of additional reinforcement modeling, bored pile reinforcement that reaches below the slope failure line is more successful than gabion reinforcement at the slope's base in raising the safety factor.

Male Perpetrators of Child Sexual Abuse: A Comparison Between Individuals Serving Custodial and Non-Custodial Sentences

The literature considers individuals who sexually offended children (ISOCs) as a heterogeneous group. In Portugal, ISOCs may be subject to two types of sentences: custodial and non-custodial measures. In the present study, we performed a comparative analysis between 66 male individuals sentenced to prison and 47 male individuals sentenced to community measures for sexual crimes against children, using a set of sociodemographic, penal, and psychological measures. The results showed that the incarcerated ISOCs’ had more static risk factors for sexual and nonsexual recidivism. Only two variables increased the probability of belonging to the incarceration group: having other convictions beyond child sexual abuse and having committed serious sexual offenses. Based on these results, implications for ISOCs’ treatment and sentencing are discussed.

Parameter Calibration for Discrete Element Simulation of the Interaction between Loose Soil and Thrown Components after Ginseng Land Tillage

Given the lack of accurate and reliable discrete element simulation parameters to study the interactions between soft soil and soil casting components after ginseng land cultivation in Northeast China and the design of ginseng land-specific borders, this paper calibrates the relevant model parameters of ginseng soil using the Hertz–Mindlin with JKR contact model in EDEM to standardize the contact parameters between soil particles and between soil and Q235 steel in soft soil after cultivation in ginseng land. Taking the soil particle accumulation angle as the response value, a Box–Behnken design (BBD) was introduced to establish a regression model for the soil accumulation angle; the surface energy, static friction coefficient, rolling friction coefficient, and coefficient of restoration parameters were obtained, respectively, through the optimization of the model, at which time, the simulated value of the soil accumulation angle was 37°, which is a 4% relative error to the actual measured accumulation angle of 35.5°. Taking the sliding friction angle of the soil on the Q235 steel plate as the response value, the regression model of the soil sliding friction angle was obtained based on the BBD. The static friction factor, rolling friction factor, and coefficient of restitution between the soil particles and the Q235 steel were obtained, respectively. Based on the combination of these parameters, the simulated value of the sliding friction angle was 32.2°, which is a 2% relative error to the measured accumulation angle of 31.5°. To verify the accuracy of the optimized simulation parameters, field and simulation tests of soil-throwing components were conducted. The results show that the maximum relative error between the measured value and the simulation value is 5.6% and 3.4%. The error is within an acceptable range, and the simulation test and field test soil-throwing effects are the same, which verifies the accuracy and reliability of the reference soil parameter calibration. The results of the study can be used for discrete element simulation analysis of the interaction between ginseng loam and touchdown components and their structural optimization.