Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychological Factors Linked to Intimate Partner Violence and Childhood Maltreatment: On Dissociation as a Possible Bridge Symptom

Intimate partner violence (IPV) is a serious health concern, occurring worldwide in various forms and settings. Over the past years, multiple sources reported an increase of IPV globally, partly related to COVID-19 restrictions. Childhood maltreatment enhances the risk of IPV, possibly via alterations in emotion regulation, attachment, maladaptive core beliefs, dissociation, and psychopathological symptoms. However, studies investigating these associations simultaneously are still needed. This study aimed to investigate association between IPV, childhood maltreatment severity, maladaptive schemata (mistrust, alienation, enmeshment), attachment anxiety, social support, emotion regulation, dissociation, posttraumatic stress disorder (PTSD), and borderline personality disorder (BPD) symptoms. We further explored the complex interplay of all factors, accounting for their shared associations. An anonymous online survey was posted on international online platforms for people experiencing domestic violence and on research platforms. Regression analyses and graph-theoretical network analysis were used to explore associations between all variables. N = 434 participants (40% in treatment) completed the survey. IPV perpetration and victimization were highly correlated. Both were significantly associated with childhood maltreatment severity, early maladaptive schemata, dissociation, BPD features, and PTSD symptoms. When including all variables in one model, IPV was associated with dissociation, which indirectly linked it to childhood maltreatment experiences, PTSD symptoms, withdrawal, and self-blame. Our findings suggest that IPV perpetration and victimization often co-occur. Dissociation may be an important bridge symptom, linking IPV to childhood maltreatment experiences, PTSD symptoms, and maladaptive coping. Prospective studies are needed to corroborate these findings and to establish psychological mechanisms underlying IPV.
“One Day It Will Be Over, and You Will See Other Landscapes. . . You Are Not Alone”: Adult Survivors’ Messages to Children Undergoing Child Sexual Abuse

Child sexual abuse (CSA) has received considerable attention from scholars, contributing to policy, intervention, and prevention efforts worldwide. However, survivors’ involvement in this research is limited. This study was designed to delve into the messages of adult CSA survivors to abused children. In all, 371 written testimonies were provided to the Israeli Independent Public Inquiry on CSA by survivors from diverse communities in Israel. The Inquiry aimed to promote change in policies related to CSA. The testimonies were analyzed using the qualitative thematic analysis method. The results revealed five main messages emphasized by survivors to children experiencing CSA: (a) transferring the responsibility and guilt from children to perpetrators and society; (b) turning toward the light and continuing on; (c) disclosure is essential; (d) a happy life is possible; and (e) together we can survive. The discussion emphasizes how various systems in survivors’ lives have profound impacts following the abuse. Although survivors were from diverse backgrounds, their messages to abused children were consistent. Through their messages to the children, the survivors emphasized their wish to transfer responsibility and guilt from children experiencing abuse to the society that is supposed to see, listen, protect, and validate. Implications for practice are discussed, focusing on the importance of making room for survivors’ voices and experiences in the processes of shaping policies in the area of CSA. Moreover, the survivors’ desire to be there for the children emphasized the urgent need to promote the perception of survivors as key stakeholders in the field of child abuse and to integrate their experiences and perceptions into the formal and informal systems for children.
PRAME expression in cutaneous melanoma does not correlate with disease‐specific survival

Immunohistochemistry‐based protein biomarkers can provide useful prognostic information in cutaneous melanoma. The independent prognostic value of Ki‐67 has been studied with variable results. PReferentially expressed Antigen in MElanoma (PRAME) immunohistochemistry is a useful new ancillary tool for distinguishing cutaneous nevi from melanoma; however, its prognostic value has not been well studied. We evaluated PRAME as a prognostic marker in cutaneous melanoma, compared to Ki‐67.
Contribution of Antibiotic Susceptibility Testing and CH Typing Compared to Next-Generation Sequencing for the Diagnosis of Recurrent Urinary Tract Infections Due to Genetically Identical Escherichia coli Isolates: a Prospective Cohort Study of Cystitis in Women

More than half of women will experience cystitis during their lifetime. Among these women, 25% will experience a second episode within the following 6 months. ABSTRACT Recurrent cystitis is a common disease in women, mainly due to uropathogenic Escherichia coli (UPEC). For decades, typing methods now considered obsolete suggested that relapse by the same clone is dominant over reinfection, most UPEC strains being otherwise fully susceptible to antibiotics. We aimed to update these data. Thanks to a prospective study over 17 months, we recruited 323 women with cystitis. Of these, 251 of them had sporadic infection and 72 had recurrence, with 2 to 9 episodes per patient for a total of 131 UPEC isolates and 145 UPEC pairs at patient level. Phylogroups B2 (52.4%) and D (14.1%) were overall dominant, as expected due to their particular urovirulence. CH typing identified 119 distinct profiles with no CH type particularly associated with recurrence. Relapse was attested by CH typing for only 30.6% (22 out of 72), with very diverse situations ranging from all episodes due to the same clone to alternating reinfections and relapses. Next-generation sequencing confirmed the clonality for all but two of the 145 UPEC pairs. Antibiotic resistance was common for recurrent cystitis isolates (only 25 [17.2%] out of 145 UPEC pairs were fully susceptible), allowing us to predict UPEC clonality. Indeed, antibiotic susceptibility profile matched CH typing for 104 (71.7%) pairs. Finally, we demonstrated a large genetic diversity among UPEC isolates responsible for cystitis in women, even in cases of recurrence for which reinfection appeared dominant over relapse. Recurrent cystitis appears to be a heterogeneous disease requiring tailored treatment and prevention. IMPORTANCE More than half of women will experience cystitis during their lifetime. Among these women, 25% will experience a second episode within the following 6 months. It is epidemiologically important to discriminate relapses from reinfections. Relapse identification relies on long and laborious methods and might influence treatment. Therefore, the designation of time- and cost-effective strategies for this goal is of particular interest. Our work suggests using CH typing and antibiotic susceptibility profiles to type Escherichia coli, the main uropathogen.
Analysis of cost-effectiveness of chemotherapeutic agents and new therapies for the management of unresectable and metastatic melanoma

The advent of targeted therapies and immunotherapies has revolutionized metastatic melanoma (MM) management but their use is associated with high daily costs compared to chemotherapies: €2 for dacarbazine versus €175 for immunotherapies and €413 for targeted therapies. While overall survival (OS) has increased, healthcare expenditures are expected to double by 2030. The aim of this study was to estimate the median OS and costs for MM patients in order to evaluate the effectiveness of new biological or targeted therapies (NT) used since 2013 compared to chemotherapies. This was a retrospective monocentric cost-effectiveness analysis performed in CHU Nantes (Nantes University Hospital). All MM patients treated with conventional chemotherapy as first-line treatment between 2008 and 2012 were included (CHEMO group). The same number of patients treated with NT as first-line between 2013 and 2017 were included (NT group). In total, 161 patients were included in each group. The mean age at diagnosis was 64.7±2.4 years in the CHEMO group and 65.3±2.4 years in the NT group (not significant). The men/women ratio was 1.48 and 1.27, respectively, (not significant). The median OS was 158 days in the CHEMO group and 395 days in the NT group (p<0.001). Treatment cost was €10,280/patient versus €94,676/patient, respectively. The mean incremental cost-effectiveness ratio was €90,184/LY (95% CI: €59,637; €166,395). Our study assessed clinical and economic features associated with MM management before and after the advent of NT. Costs and life expectancy have increased. NT appears to be cost-effective.
UsingWomb Grammars for Inducing the Grammar of a Subset of Yorùbá Noun Phrases

We address the problem of inducing the grammar of an under-resourced language, Yorùbá, from the grammar of English using an efficient and linguistically savvy, constraint solving model of grammar induction Womb Grammars (WG). Our proposed methodology employs Womb Grammars in parsing a subset of noun phrases of the target language Yorùbá, from the grammar of the source language English, which is described as properties between pairs of constituents. Our model is implemented in CHRG (Constraint Handling Rule Grammars) and has been used for inducing the grammar of a useful subset of Yorùbá noun phrases. Interesting extensions to the original Womb Grammar model are presented, motivated by the specific needs of Yorùbá and similar tone languages.
Ionospheric Alfvén resonator and aurora: Modeling of MICA observations

We present results from a numerical study of small‐scale, intense magnetic field‐aligned currents observed in the vicinity of the discrete auroral arc by the Magnetosphere‐Ionosphere Coupling in the Alfvén Resonator (MICA) sounding rocket launched from Poker Flat, Alaska, on 19 February 2012. The goal of the MICA project was to investigate the hypothesis that such currents can be produced inside the ionospheric Alfvén resonator by the ionospheric feedback instability (IFI) driven by the system of large‐scale magnetic field‐aligned currents interacting with the ionosphere. The trajectory of the MICA rocket crossed two discrete auroral arcs and detected packages of intense, small‐scale currents at the edges of these arcs, in the most favorable location for the development of the ionospheric feedback instability, predicted by the IFI theory. Simulations of the reduced MHD model derived in the dipole magnetic field geometry with realistic background parameters confirm that IFI indeed generates small‐scale ULF waves inside the ionospheric Alfvén resonator with frequency, scale size, and amplitude showing a good, quantitative agreement with the observations. The comparison between numerical results and observations was performed by “flying” a virtual MICA rocket through the computational domain, and this comparison shows that, for example, the waves generated in the numerical model have frequencies in the range from 0.30 to 0.45 Hz, and the waves detected by the MICA rocket have frequencies in the range from 0.18 to 0.50 Hz.
Fast diffuse correlation spectroscopy (DCS) for non-invasive measurement of intracranial pressure (ICP) (Conference Presentation)

Intracranial pressure (ICP) monitoring has a key role in the management of neurosurgical and neurological injuries. Currently, the standard clinical monitoring of ICP requires an invasive transducer into the parenchymal tissue or the brain ventricle, with possibility of complications such as hemorrhage and infection. A non-invasive method for measuring ICP, would be highly preferable, as it would allow clinicians to promptly monitor ICP during transport and allow for monitoring in a larger number of patients. We have introduced diffuse correlation spectroscopy (DCS) as a non-invasive ICP monitor by fast measurement of pulsatile cerebral blood flow (CBF). The method is similar to Transcranial Doppler ultrasound (TCD), which derives ICP from the amplitude of the pulsatile cerebral blood flow velocity, with respect to the amplitude of the pulsatile arterial blood pressure. We believe DCS measurement is superior indicator of ICP than TCD estimation because DCS directly measures blood flow, not blood flow velocity, and the small cortical vessels measured by DCS are more susceptible to transmural pressure changes than the large vessels. For fast DCS measurements to recover pulsatile CBF we have developed a custom high-power long-coherent laser and a strategy for delivering it to the tissue within ANSI standards. We have also developed a custom FPGA-based correlator board, which facilitates DCS data acquisitions at 50-100 Hz. We have tested the feasibility of measuring pulsatile CBF and deriving ICP in two challenging scenarios: humans and rats. SNR is low in human adults due to large optode distances. It is similarly low in rats because the fast heart rate in this setting requires a high repetition rate.
Analysis of the Performance of Liquid Fertilization in Cucumber Cultivation

Liquid fertilization can be applied to cucumber plants, including using electric sprayers, electric sprayers and air blowers, and using the mist blower. The three sprayer units are capable of producing fine granules (droplets) that can enter the stomata of cucumbers. This study aims to compare the results of spraying performance using the three methods of liquid fertilization in cucumber cultivation. The research method used is indoor testing in the Sprayer Laboratory to determine the value of the performance parameters of each method of liquid fertilization and outdoor testing to apply liquid fertilizer droplets to cucumbers and determine their effect on the growth and production of cucumbers. The results showed that the first fastest appearance of the flower and the first fruit was in the treatment using electric sprayers and air blowers at 24.6 days after planting (DAP) and 31.5 DAP. This treatment also produces cucumbers with the largest diameter, length, and weight of the fruit of 2.97 cm, 26.10 cm, and 298.28 grams. The accuracy of the dose of liquid fertilization application using an electric sprayer and air blower is 63.41%, an electric sprayer of 59.56%, and the mist blower of 29.90%. Keywords: Air blower, Droplet, Electric sprayer, Mist blower, Sprayer
Effect of varying levels of dietary energy and protein on broiler performance: a review

SUMMARY The broiler meat sector is one of the most valuable contributors to food security in most developed and developing countries, thus, ensuring its viability is crucial. Feed energy (ME) and protein (CP) are jointly the greatest feed constituents and cost factors in broiler production. And these have been shown to influence broiler performance significantly. The relationship between these feed components is commonly described as a ratio of their dietary densities. Different ratios (narrow to wider) will influence overall performance measures differently and effects on performance parameters such as feed intake (FI) and the average daily gain (ADG) and feed conversion ratio, or efficiency (FCR or FCE) (in a range of determined ratios) can be linear or non-linear. On main effects, high ME will usually decrease FI and exacerbate excessive fat deposition. At the same time, dietary CP/amino acid (AA) density is directly proportional to carcass and breast meat yield. Overall, a proportionate increase in both ME and protein while maintaining a constant ME: CP ratio (as per breeder or NRC recommendations) will result in the best broiler responses. The optimal balance can be determined through modelling responses for various production goals and conditions.
An improved model for predicting the maximum power point of PV modules

The maximum power is a very important quantity in operation of PV modules. The values of current, voltage and power at the peak power point are affected by the environment conditions such as incident irradiance and temperature of PV modules. In this paper, an improved analytical model using the single-diode model is proposed to predict the maximum power point of PV modules under different climatic conditions. The proposed model portrays the relationship between the maximum power and meteorological parameters G and T. The accuracy of the proposed model is verified by measured data collected in actual experiments. Compared with traditional methods, the improved model has smaller errors in estimating current, voltage and power values at the peak power point in both low and high irradiance ranges. This proposed improved model provides a reference for subsequent research on PV.
Aspects of QCD uncertainties and fast QCD predictions for high-energy collider experiments

We address the issue of how to provide accurate perturbative QCD predictions along with their theory uncertainties in a systematic and fast way using Monte-Carlo event generators, considering that state-of-the-art calculations become more and more complex and require in some cases prohibitively extensive CPU resources. An internal reweighting method is presented for the SHERPA event generator. It gives variations to a nominal prediction with comparably little additional computational cost. The method supports next-to-leading-order multi-jet calculations in QCD combined with all-order corrections generated with a parton shower. Moreover, we present new developments for another reweighting approach, namely the use of QCD interpolation grids. These provide even faster variations for fixed-order calculations, and can be created in an automated way using event generators through interfaces such as MCgrid. Our improvements to this interface allow for creating more versatile interpolation grids, supporting a larger class of calculations, grid implementations and scale variations. Furthermore, we discuss ideas for a future inclusion of resummation effects in such grids. Besides the reweighting, we also study the use of extrapolation methods to predict high-multiplicity jet rates, which are expected to be ubiquitous at future collider energies. The extrapolation is based on scaling patterns. This study is embedded in a more general discussion of jet activity at a future 100 TeV proton-proton collider.
Enabling OFDMA in Wi-Fi Backscatter

This paper for the first time demonstrates how to enable OFDMA in Wi-Fi backscatter for capacity and concurrency enhancement. With our design, the excitation signal is reflected, modulated and shifted to lie in the frequency band of the OFDM subcarrier by the tag; OFDMA is realized by coordinating tags to convey information to the receiver with orthogonal subcarriers concurrently through backscatter. The crux of the design is to achieve strict synchronization among communication components, which is more challenging than in regular OFDMA systems due to the more prominent hardware diversity and uncertainty for backscattering. We reveal how the subtle synchronization scenarios particularly for backscattering can incur system offsets, and present a series of novel designs for the excitation signal transmitter, tag, and receiver to address the issue. We build a prototype in 802.11g OFDM framework to validate our design. Experimental results show that our system can achieve 5.2-<inline-formula> <tex-math notation="LaTeX">$16Mbps$ </tex-math></inline-formula> aggregate throughput by allowing 48 tags to transmit concurrently, which is 1.45-<inline-formula> <tex-math notation="LaTeX">$5\times $ </tex-math></inline-formula> capacity and <inline-formula> <tex-math notation="LaTeX">$48\times $ </tex-math></inline-formula> concurrency compared with the existing design respectively. We also design an OFDMA tag IC, with the corresponding simulation and numerical analysis results show that the tag’s power consumption is in tens of <inline-formula> <tex-math notation="LaTeX">$\mu W$ </tex-math></inline-formula>.
Mycorrhiza Diversity in Some Intercropping Systems of Potato (Solanum tuberosum L) and Faba Bean (Vicia faba L)

Arbuscular mycorrhizal fungi (AMF) is the most widely distributed mycorrhizal fungi in the soil and can make a symbiosis with the roots of host plants to form arbuscular mycorrhizal symbionts. Intercropping is a practice of polyculture cropping where two or more plant species are simultaneously cultivated in the same field. The objective of this study was to define the effect of intercropping on the density and diversity of mycorrhizal spores. In this study, potatoes and faba beans, both of which have the ability to symbiosis with mycorrhizae, were intercropped. A randomized group design with 5 planting system treatments was employed in this study with 5 replications. The results concluded that density of mycorrhizal spores in the intercropping planting pattern was not statistically different from the density of mycorrhiza in the monoculture cultivation pattern. The types of mycorrhiza found included the genus of Glomus, Funneliformis, Scutellospora, Cetraspora, Septoglomus, and Entrophospora Keywords: pH; Root exudate; Spore density, Spore identification; Spore diversity.
Non-penalty shrinkage estimation of random effect models for longitudinal data with AR(1) errors

Abstract In this paper, we consider the non-penalty shrinkage estimation method of random effect models with autoregressive errors for longitudinal data when there are many covariates and some of them may not be active for the response variable. In observational studies, subjects are followed over equally or unequally spaced visits to determine the continuous response and whether the response is associated with the risk factors/covariates. Measurements from the same subject are usually more similar to each other and thus are correlated with each other but not with observations of other subjects. To analyse this data, we consider a linear model that contains both random effects across subjects and within-subject errors that follows autoregressive structure of order 1 (AR(1)). Considering the subject-specific random effect as a nuisance parameter, we use two competing models, one includes all the covariates and the other restricts the coefficients based on the auxiliary information. We consider the non-penalty shrinkage estimation strategy that shrinks the unrestricted estimator in the direction of the restricted estimator. We discuss the asymptotic properties of the shrinkage estimators using the notion of asymptotic biases and risks. A Monte Carlo simulation study is conducted to examine the relative performance of the shrinkage estimators with the unrestricted estimator when the shrinkage dimension exceeds two. We also numerically compare the performance of the shrinkage estimators to that of the LASSO estimator. A longitudinal CD4 cell count data set will be used to illustrate the usefulness of shrinkage and LASSO estimators.
DIVERSITY AND INCLUSION PROGRAMS IN MULTINATIONALS: OPPORTUNITY FOR REVERSE KNOWLEDGE TRANSFER

ABSTRACT This article aims to understand how multinational enterprises manage their diversity and inclusion (D&I) programs globally, identifying strategies, subsidiaries’ motivation to internalize practices, and addressing an issue little discussed in D&I literature to date: the reverse knowledge transfer (RKT). Through an exploratory multiple case analysis, this study contributes by integrating and advancing literatures of D&I, international business, and RKT, to the best of our knowledge not yet done. It highlights the importance of the headquarters’ strategy, the subsidiaries context as well as their relative size and power inside the organization, identifying main drivers for D&I and conditions for the RKT, culminating in a summarizing framework.