Miracle-dz/UniFAR-FTUs huggingface dataset:
A cost–benefit analysis of a treatment program for adult males who have offended sexually

ABSTRACT In this paper, we estimate the financial benefits that can result from effective sexual offender treatment. We base our estimates on both an earlier outcome evaluation of a prison-based sexual offender programme and a report of the costs to the judicial system of reoffending. The outcome study reported significant reductions in re-offence rates compared to a matched group of untreated sexual offenders. We show that these reductions in reoffending not only saved a significant number of people from subsequently being abused by the offenders, it also resulted in very significant savings to the taxpayers to the tune of over $14 million Canadian. While these results are encouraging, additional studies are needed to extend the examination of these potential benefits.
Assembly of a Three-Dimensional Metal–Organic Framework with Copper(I) Iodide and 4-(Pyrimidin-5-yl) Benzoic Acid: Controlled Uptake and Release of Iodine

A novel three-dimensional metal–organic framework, [Cu2I2]0.5[Cu2(CO2)4(C10H7N2)4]0.5·2DMF (JLU-Liu14), has been synthesized under solvothermal conditions, which is constructed by ternary secondary building units (SBUs): classical Cu2(CO2)4 paddle-wheel unit, Cu2I2 dimer unit, and organic SBU. In JLU-Liu14, the pyrimidine groups of 4-PmBC (4-(pyrimidin-5-yl) benzoic acid) ligands coordinated to copper paddle-wheel and Cu2I2 dimer units to form a zigzag chain, and the zigzag chains then connected together by 4-PmBC ligands to generate a three-dimensional framework with (3,4,6)-connected topology. There are two types of channels along the c axis with the dimensions of 14 × 14 A and 5 × 5 A, respectively, in which the big hexagonal channel is surrounded by six small trigonal channels. In addition, JLU-Liu14 displays the interesting ability of the uptake and release of iodine.
The Predominant Factors Affecting Frontline Employees’ Engagement: Case of the Lebanese Service Sector

The purpose of this study is to first identify the predominant factors shaping frontline employee engagement and then to explore the outcomes of the employees’ engagement within the context of the service sector in Lebanon. The main theory used to ground the research is the explanatory power of the Social Exchange Theory (SET). A qualitative ethnographic method was used to explore the salient drivers and outcomes of employees’ engagement. The qualitative approach was implemented by observing and informally interviewing frontline employees, and by gathering documentary data for a greater understanding of this phenomenon. Findings show that supervisor support, organizational support, training, distributive justice and procedural justice appeared to be significant drivers of employee engagement. It was also evident that personal resources and self-efficacy have a significant moderator effect between supervisor support, distributive justice and employee engagement. Moreover, employee organizational commitment, intention to quit and organizational citizenship behaviors revealed to be the direct outcomes of employees’ engagement. This study is among the first undertaken in the Lebanese context. The findings shall help to close the gap in the reported literature about the topic and will serve HR decision makers as new knowledge for future endeavors.
Cybernetic proletarianization: Spirals of devaluation and conflict in digitalized production

Drawing on a case study of algorithmically controlled manual labour in German manufacturing and delivery logistics, this article develops the concept of cybernetic proletarianization. It does so by joining an empirical analysis of labour processes with theoretical class analysis. Thus, it reconstructs Marx’s understanding of technical proletarianization as a dialectic between expulsion and reintegration of living labour in production processes. In the cases researched here, a qualitative and quantitative expulsion of living labour could be observed in different forms: First, deskilled flexibilization via digital instructions on working steps; second, a cybernetic mode of work intensification that is based on a permanent digital evaluation of the labour process; third, data-based automation, which builds on the data collected from the labour processes. This expulsion is counterweighted by a process of reintegration of devaluated living labour due to new highly labour-intensive forms of production and distribution, which are enabled by algorithmic work control. However, these processes are highly conflictual, resulting in different ‘technopolitics from below’, in which workers influence or even disrupt the processes of cybernetic proletarianization.
Accessory Cr-Spinels in the Section of the Nude-Poaz Massif in the Monchegorsk (2.5 Ga) Mafic-Ultramafic Layered Complex (Kola Peninsula, Russia): Comparison with Ore-Forming Chromites

The paper studies accessory Cr-spinels from deep drill holes crossing the Nude-Poaz massif, which is a part of the Monchegorsk mafic-ultramafic layered complex (2.5 Ga, Kola Peninsula, Russia). Cr-spinels occur as two morphological types that differ in their chemical composition, i.e., Cr-spinels of the first type are more aluminous, while Cr-spinels of the second type are more ferruginous and titaniferous. Cr-spinels of the Nude-Poaz massif are characterized by a Fe-Ti trend known for layered intrusions in the world. Cr-spinels of the Nude-Poaz massif quite clearly differ in composition from chromites of the Sopcheozero deposit: they are more ferruginous and less chromous. The specific composition of Cr-spinels in rocks of the Nude-Poaz massif can be correlated with the sequence of the magmatic phases intrusion.
Assignment of Freight Truck Shipment on the U.S. Highway Network

With the ever-increasing demand for freight movements, nationwide freight shipments between geographical regions by freight trucks need to be investigated since they comprise the largest share of total freight movements in the United States. To this end, the procedures for freight truck shipment demand network assignment on the entire U.S. highway network considering congestion effect are discussed, and the results are explained in detail, with visual illustrations. A fundamental traffic assignment model with a convex combinations algorithm is proposed to solve the nationwide freight truck shipment assignment problem under the user equilibrium principle. A link cost function is modified, considering the traffic volume that already exists on U.S. highways. A case study is conducted using big data including the entire U.S. highway network and freight shipment information in 2007. Total and average freight shipment costs for both truck and rail transportation for a specific origin–destination pair in the database are computed to compare the characteristics of these two major freight transportation modes in the United States. Application of the proposed model could be possible to address many other related problems, such as improvement of highway infrastructure, and reductions in traffic congestion and vehicle emissions.
Palladium(II)-Catalyzed Coupling of Electron-Deficient Arenes via C–H Activation

Homocoupling and cross-coupling of electron-deficient arenes, including nitrobenzene, (trifluoromethyl)benzene, ethyl benzoate, etc., have been developed to afford biaryls using a catalytic system of Pd(OAc)2/trifluoroacetic acid (TFA)/O2 or K2S2O8. The crucial step is to tune the concentrations of arenes and the loading of TFA carefully to enhance the reaction rates and the selectivity of these couplings involving dual C–H activation.
Systematic Analysis and Biochemical Characterization of the Caffeoyl Shikimate Esterase Gene Family in Poplar

Caffeoyl shikimate esterase (CSE) hydrolyzes caffeoyl shikimate into caffeate and shikimate in the phenylpropanoid pathway. In this study, we performed a systematic analysis of the CSE gene family and investigated the possible roles of CSE and CSE-like genes in Populus. We conducted a genome-wide analysis of the CSE gene family, including functional and phylogenetic analyses of CSE and CSE-like genes, using the poplar (Populus trichocarpa) genome. Eighteen CSE and CSE-like genes were identified in the Populus genome, and five phylogenetic groups were identified from phylogenetic analysis. CSEs in Group Ia, which were proposed as bona fide CSEs, have probably been lost in most monocots except Oryza sativa. Primary functional classification showed that PoptrCSE1 and PoptrCSE2 had putative function in lignin biosynthesis. In addition, PoptrCSE2, along with PoptrCSE12, might also respond to stress with a function in cell wall biosynthesis. Enzymatic assay of PoptoCSE1 (Populus tomentosa), -2 and -12 showed that PoptoCSE1 and -2 maintained CSE activity. PoptoCSE1 and 2 had similar biochemical properties, tissue expression patterns and subcellular localization. Most of the PoptrCSE-like genes are homologs of AtMAGL (monoacylglycerol lipase) genes in Arabidopsis and may function as MAG lipase in poplar. Our study provides a systematic understanding of this novel gene family and suggests the function of CSE in monolignol biosynthesis in Populus.
CFD Model for Aircraft Ground Deicing: Verification and Validation of an Extended Enthalpy-Porosity Technique in Particulate Two Phase Flows

Researchers have focused in the last five years on modelling the aircraft ground deicing process using CFD (computational fluid dynamics) in order to reduce its costs and pollution. As preliminary efforts, those studies did not model the ice melting nor the diffusion between deicing fluids and water resulting from the melting process. This paper proposes a CFD method to simulate this process filling these gaps. A particulate two-phase flow approach is used to model the spray impact on ice near the contaminated surface. Ice melting is modelled using an extended version of the enthalpy-porosity technique. The water resulting from the melting process is diffused into the deicing fluid forming a single-phase film. This paper presents a new model of the process. The model is verified and validated through three steps. (i) verification of the species transport. (ii) validation of the transient temperature field of a mixture. (iii) validation of the convective heat transfer of an impinging spray. The permeability coefficient of the enthalpy-porosity technique is then calibrated. The proposed model proved to be a suitable candidate for a parametric study of the aircraft ground deicing process. On the validation test cases, the precision of heat transfer prediction exceeds 88%. The model has the ability of predicting the deicing time and the deicing fluid quantities needed to decontaminate a surface.
Does Inpatient Mobilization Predict 1-Year Mortality After Femoral Neck Fracture Treated With Hemiarthroplasty?

Objective: To determine whether inpatient mobilization (defined as ambulation before hospital discharge) is associated with 1-year mortality and 90-day hospital readmission in patients treated with a hip hemiarthroplasty for a femoral neck fracture. Design: Retrospective case–control. Setting: Academic Level 1 trauma center. Patients/Participants: Two hundred twelve consecutive femoral neck fractures were treated with hip hemiarthroplasties with a minimum of 1 year of follow-up. Intervention: All study patients were treated with a hip hemiarthroplasty and weight-bearing as tolerated postoperative day 1. Patients were prescribed daily physical therapy with the goal of mobilization before discharge from hospital. Main Outcome Measures: Mortality at 1 year; hospital readmission within 90 days. Results: Two hundred twelve patients were included in the study. One-year mortality was 29%. One hundred thirty-two (62%) patients were able to ambulate before hospital discharge. Ambulation with physical therapy before discharge from hospital was a significant predictor of 1-year mortality when compared with patients who were unable to ambulate (hazard ratio 0.57; 95% confidence interval, 0.34–0.94; P = 0.03), which equates to 43% reduction in risk of mortality. There was no difference in the 90-day readmission rates for ambulatory versus nonambulatory patients. Conclusions: Ambulation with physical therapy before discharge reduced the risk of 1-year mortality by 43%, without an effect on 90-day readmission. Sixty-two percentage of our cohort was able to ambulate before discharge. Future investigations are warranted to further identify those patients at heightened risk of mortality and readmission and the role of early rehabilitation in recovery. Level of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Quality of Healthcare Services in Focus: The Role of Knowledge Transfer, Hierarchical Organizational Structure and Trust

ABSTRACT This paper explores the role of knowledge transfer, hierarchical organisational structure, and trust as important organisational factors that influence knowledge management practices on the quality of healthcare services. Survey data from 151 healthcare employees collected in Montenegro in 2019 was used. Applying hierarchical linear regression, we found a significant and positive relationship between knowledge transfer and quality of healthcare services, and a significant and negative relationship between hierarchical organisational structure and quality of healthcare services. Trust acts as a moderator in the relationship between knowledge transfer and quality of healthcare services and between hierarchical organisational structure and quality of healthcare services. We provide empirical support for the influence of knowledge transfer, hierarchical organisational structure, and trust on the quality of healthcare services provided by Montenegrin healthcare employees. Our results offer theoretical and practical implications derived from this research study.
Molecular Understanding of the Impact of Saline Contaminants and Alkaline pH on NiFe Layered Double Hydroxide Oxygen Evolution Catalysts

NiFe layered double hydroxides (LDHs) are among the most active electrocatalysts for alkaline oxygen evolution reaction (OER) and OER selective seawater oxidation. These promising applications call for a fundamental understanding of the catalyst/electrolyte interaction, which is challenging to investigate during operation conditions. This work reports an operando structure−reactivity analysis of NiFe LDH as the electrocatalyst for the OER in alkaline and alkalinized NaCl electrolytes, by combining operando wide-angle X-ray scattering (WAXS) and electrochemical characterization. The operando results showed that higher pH values lead to a higher percentage of the OER active γ-NiFe LDH in the composition of the catalyst layer, larger Ni redox peaks, and higher OER activity. The addition of 0.5 M NaCl to moderate alkaline electrolytes (0.1−0.5 M KOH) also leads to larger Ni redox features and higher activity but appears to limit the percentage of γ-NiFe LDH during the OER in comparison to the corresponding NaCl-free electrolytes. Interestingly, a higher KOH concentration (1.0 M KOH, pH 14) could compensate this structural effect aligning the percentage of OER-active γNiFe LDH in both NaCl-free and NaCl-containing electrolytes. Additional scan rate investigations showed a strong correlation of the electrochemical accessibility of NiFe LDH with its history, scan rate, and NaCl addition. In particular, the faster and more effective break-in process induced by NaCl addition is proposed as the origin of the enhanced activity at low pH, despite the lower γphase percentage.
Predicting drug-target interaction based on bilateral local models using a decision tree-based hybrid support vector machine

Identifying the interaction between the drug and the target proteins plays a very important role in the drug discovery process. Because prediction experiments of this process are time consuming, costly and tedious, Computational prediction can be a good way to reduce the search space to examine the interaction between drug and target instead of using costly experiments. In this paper, a new solution based on known drug-target interactions based on bilateral local models is introduced. In this method, a hybrid support vector machine based on the decision tree is used to decide and optimize the two-class classiﬁcation. Using this machine to manage data related to this application has performed well. The proposed method on four criteria datasets including enzymes (Es), ion channels (IC), G protein coupled receptors (GPCRs) and nuclear receptors (NRs), based on AUC, AUPR, ROC and running time has been evaluated. The results show an improvement in the performance of the proposed method.
Chinese property developers after the decline in foreign real estate investment in Sydney, Australia

Abstract This study investigates how Chinese developers responded to the changing patterns of investment in residential real estate in Sydney since 2010. The analysis also outlines the key lessons for cities around the world with high levels of Chinese foreign buyers and developers, which may experience a similar foreign real estate investment decline as a result of changing dynamics in domestic real estate markets, changes in China, and/or wider changes in the global economy or other key global events. Unlike Chinese individual foreign real estate investors who largely exited the real estate market after 2017, Chinese property developers remained committed to the domestic market in Australia. As such, this analysis is framed by a period of individual foreign capital withdrawal and is focused on foreign developers rather than individual foreign real estate investors. The paper argues that focusing on the actions of foreign developers in a domestic real estate market is important because the organisational structure and business practices of foreign developers can be vastly different to those of domestic developers. The analysis shows that since 2017 Chinese developers responded in two ways to the changing residential real estate market in Sydney: (1) they revised their sales strategies to target different customer groups; and/or (2) they changed their building practices.
Modelling of flexible aquatic plants from silicone syntactic foams

In experiments with vegetated flows, natural plants are often represented by artificial surrogates, which eliminate effects of plants physiology to easy fit the experimental set-ups. Using surrogates of flexible aquatic plants, the buoyancy and rigidity are supposed to match those in tissues of the natural plants. This paper introduces a new technique for manufacturing composite surrogates from silicon syntactic foams and reports on laboratory tests, which illustrate that such surrogates respond to flow similarly to the natural plants. Practical applications are illustrated by examples from recent field-based experiments.
Utilising Dedicated Pedestrian Networks to Understand the Relationship between Accessibility and Pedestrian Density in Asian Cities

As pedestrian networks tie together all transportation modes, their accessibility is crucial to supporting public transportation and fostering more sustainable and liveable cities. Nevertheless, most studies have relied on street networks when calculating pedestrian accessibility. While street networks can substitute for pedestrian networks in some cases, they fail to capture all paths available to pedestrians. Recent studies argue that this may distort our understanding of connectivity, accessibility and consequently the walkability of an area. This study sought to understand the effect of pedestrian network accessibility on segment-scale pedestrian density. To achieve this goal, dedicated pedestrian networks were constructed for two 400 m areas in Bangkok and Osaka. In each site, the effect of accessibility variables, namely reach and gravity, were assessed first before controlling for other environmental factors addressing connectivity, transit proximity and path conditions. Measures were evaluated using ArcGIS and the Urban Network Analysis toolbox using data obtained from OpenStreetMap databases and field surveys. The results show that accessibility variables alone can account for up to 33% and 35% of observed pedestrian densities in Bangkok and Osaka, respectively. Accessibility to retail land uses is the biggest driver in this relationship. However, when controlling for all variables, only in the denser, more connected Osaka site did accessibility to retail remain significant, helping to explaining up to 45% of observed pedestrian densities, while in Bangkok, its effect was minimal with proximity to rail transit being the only significant variable.
Spatially varying phytoplankton seasonality on the Northwest Atlantic Shelf: a model-based assessment of patterns, drivers, and implications

The signal of phytoplankton responses to climate-related forcing can be obscured by the heterogeneity of shelf seascapes, making them difficult to detect from fragmented observations. In this study, a physical–biological model was applied to the Northwest Atlantic Shelf to capture the seasonality of phytoplankton. The difference in phytoplankton seasonality between the Mid-Atlantic Bight (MAB) and the Gulf of Maine (GoM) is a result of the interplay between nutrients and temperature: In the MAB, relatively high temperature in the cold season and longer oligotrophic environment in the warm season contribute to an earlier winter bloom and a later fall bloom; in the GoM, low temperature and strong mixing limit phytoplankton growth from late fall to early spring, resulting in a later spring bloom and an earlier fall bloom. Although the temperature difference between the GoM and the MAB might decrease in the future, stratification and surface nutrient regimes in these two regions will remain different owing to distinct thermohaline structures and deep-water intrusion. The spatial heterogeneity of phytoplankton dynamics affects pelagic and benthic production through connections with zooplankton and benthic–pelagic coupling.
Chanwuyi Lifestyle Medicine Program Alleviates Immunological Deviation and Improves Behaviors in Autism

Given the association between deviated inflammatory chemokines, the pathogenesis of autism spectrum disorders (ASD), and our previous findings of the Chanwuyi Lifestyle Medicine Program regarding improved cognitive and behavioral problems in ASD, the present study aims to explore if this intervention can alter pro-inflammatory chemokines concentration. Thirty-two boys with ASD were assigned to the experimental group receiving the Chanwuyi Lifestyle Medicine Program for 7 months or the control group without a change in their lifestyle. The experimental group, but not the control group, demonstrated significantly reduced CCL2 and CXCL8, a trend of reduction in CCL5, and elevation of CXCL9. The experimental group also demonstrated significantly reduced social communication problems, repetitive/stereotypic behaviors, and hyperactive behaviors. The present findings support the potential efficacy and applicability of the Chanwuyi Lifestyle Medicine Program for reducing both behavioral problems and immunological dysfunction in ASD. Further studies are warranted to verify its treatment effect and its association with brain functions.