Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatial variability in relative survival from female breast cancer

Summary. Relative survival is a measure of survival corrected for the effect of independent causes of death other than the cancer of interest. It is provided by population‐based cancer registries and constitutes an indicator of the quality of cancer patient management. Geographical variations in relative survival from cancer could reflect differences in the effectiveness of healthcare. Studies comparing geographical variations use estimates of relative survival obtained independently in each of the corresponding geographical units. When the units havesmall populations, the statistical stability of survival estimates could be seriously compromised.Our main objective is to assess the geographical variation in relative survival ratios from femalebreast cancer in the Girona Health Region (corresponding, virtually, to the province of Girona inCatalonia, in north‐eastern Spain). Firstly, we propose smoothing relative survival estimates bymeans of a (full) Bayesian hierarchical model. Secondly, we investigate which geographicalunit will give more stable estimates and could therefore be used for the analysis of cancersurvival as a healthcare performance indicator. We find that the model with more success in controlling for extra variability in the estimation of relative survival from female breast cancer in theGirona Health Region is a (full) Bayesian hierarchical model that incorporates both heterogeneity and spatial random effects. The greatest stability of these relative survival estimates wasachieved when basic health areas were taken as geographical units.
First Observation of Electron Cyclotron Harmonic Waves Inside Mirror Mode Structures in the Earth's Outer Magnetosphere

Electron cyclotron harmonic (ECH) waves are one of the most common plasma waves in the Earth's magnetosphere, and they are considered to be excited by the electron loss‐cone distributions near the magnetic equator. Using the Magnetospheric Multiscale data, we report an unusual event of ECH waves at L = ∼12.4 and MLT = ∼16.0 hr, where the ECH waves are locally excited inside non‐propagating magnetic oscillations, that is, mirror mode structures. The observation reveals that the mirror mode structures are generated by anisotropic ions ( Ti⊥/Ti∥ ${T}_{i\perp }/{T}_{i{\Vert} }$ ∼ 1.3 – 1.7), and electron mirror loss‐cone distributions are formed due to the magnetic configuration of the mirror mode structures. Combing with the linear instability analysis, we confirm that the ECH waves are locally excited by the electron mirror loss‐cone distributions inside the mirror mode structures. Therefore, we propose that the mirror mode structures provide another potential source region for ECH waves in the Earth's magnetosphere.
Nematic-like elastic coefficients of the SmAb phase

ABSTRACT The synthesis of bent-shaped mesogens and mesogenic dimers has renewed the field of liquid crystals in many ways during the previous decades, for example, through the discovery of ‘exotic’ mesophases such as the twist-bend nematic phase and the biaxial SmA phase (SmAb). Recently, we reported on the observation of a SmAb with a bent-shaped dimer, and on its fast electro-optic effect that we interpreted as a biaxial Fréedericksz transition (BFrTr) of the secondary m-director under applied electric field (C. Meyer et al., Phys. Rev. X, 11, 031012 (2021)). In this study, we used dielectric and birefringence techniques to directly measure the splay, , and bend, , elastic constants that characterise the elastic distortion modes of the m-director. We observed that during the BFrTr, domains of opposite tilt appear and are often enclosed in elliptical defect loops, just like those observed during the usual Fréedericksz transition of common nematics, which allowed us to obtain the third (twist) elastic constant from the defect loop ellipticity. Although and are of the same order of magnitude as and in the nematic phase of bent-shaped dimers, is an order of magnitude smaller than and and also than of 5CB. We argue that these features could be generic for the intercalated SmAb phase of bent-shaped dimers. GRAPHICAL ABSTRACT
Association between microsatellite instability and tumor response to neoadjuvant chemoradiotherapy for rectal cancer

Purpose The relationship between microsatellite instability (MSI) and tumor response after neoadjuvant chemoradiotherapy (nCRT) in rectal cancer remains unclear. The present study aimed to evaluate the association between MSI and tumor response to nCRT in rectal cancer treatment. Methods Patients with rectal cancer from 2 tertiary hospitals who underwent nCRT, followed by radical surgery, were included. The microsatellite status was determined using a PCR-based Bethesda panel. Tumors with a Dworak’s tumor regression grade of 3 or 4 were considered to have a good response. Predictive factors for a good response to nCRT were analyzed. Results Of the 1,401 patients included, 910 (65.0%) had MSI results and 1.5% (14 of 910) showed MSI-H. Among all the patients, 519 (37.0%) showed a good response to nCRT. A univariate analysis showed that MSI-H tended to be negatively associated with a good response to nCRT, but no statistical significance was observed (7.1% vs. 24.1%, P = 0.208). Multivariate analysis showed that well-differentiated tumors were the only predictive factor for good response to nCRT (odds ratio [OR], 2.241; 95% confidence interval [CI], 1.492–3.364; P < 0.001). MSI status tended to be associated with the response to nCRT (OR, 0.215; 95% CI, 0.027–1.681; P = 0.143). Conclusion MSI-H was not associated with response to nCRT in patients with rectal cancer.
IMPACT OF PROACTIVE PERSONALITY AND CORPORATE SOCIAL RESPONSIBILITY ON JOB PERFORMANCE: MEDIATING ROLE OF ORGANIZATIONAL COMMITMENT

The study has been conducted to empirically test mediating role of organizational commitment between corporate social responsibility (CSR) & proactive personality and job performance. It is a quantitative study designed to evaluate multiple regression equations based on data collected from two major service sectors of Pakistan i.e. banking and telecom. Partial Least Squares (PLS) based Structural Equation Modelling (SEM) has been employed as technique of analysis. The results showed that CSR and proactive personality positively affect job performance and organizational commitment partially mediates the relationship between them. The study provides new valuable insights to management of service sector organizations. It provides insights that how implementing CSR and proactive managers improve performance of employees
Joint Liability Based Financing To Prevent Non-Performing Financing In Bank Wakaf Mikro

The Indonesian government has made various efforts to reduce it, one of which is establishing a Micro Waqf Bank. The focus of the establishment of the Bank Wakaf Mikro is to empower the poor by providing assistance and providing microfinance for productive activities. Interesting to assess is the financing mechanism applied, namely joint liability. The purpose of this study is to examine whether joint liability-based financing can prevent non-performing financing. Data were collected from 215 respondents from Micro Waqf Bank customers in Magelang Regency. Data analysis was carried out statistically by using Structural Equation Model (SEM) Partial Least Square. The results show that joint liability-based financing has a significant effect on preventing non-performing financing. This means that joint liability based on Bank Wakaf Mikro can prevent defaults or non-performing financing. This means that joint liability based on the distribution of fund financing by Bank Wakaf Mikro can prevent defaults or non-performing financing. Problem financing in joint liability-based financing can be prevented because of the necessity of forming a group when applying for financing, so prospective customers will choose group members who have integrity and can be trusted.
The Clinical Application of Growth Hormone and Its Biological and Molecular Mechanisms in Assisted Reproduction

Growth hormone (GH) has been used as a co-gonadotrophin in assisted reproduction, particularly in poor ovarian responders. The application of GH has been alleged to activate primordial follicles and improve oocyte quality, embryo quality, and steroidogenesis. However, the effects of GH on the live birth rate among women is controversial. Additionally, although the basic biological mechanisms that lead to the above clinical differences have been investigated, they are not yet well understood. The actions of GH are mediated by GH receptors (GHRs) or insulin-like growth factors (IGFs). GH regulates the vital signal transduction pathways that are involved in primordial follicular activation, steroidogenesis, and oocyte maturation. However, the therapeutic windows and duration of GH administration during assisted reproductive technology require further investigation. The review aimed to clarify the role of GH in human fertility from a molecular and biological point of view to provide evidence for proper GH administration.
Performance of a high resolution diagnostic model for short range mesoscale wind forecasts in complex terrain

Abstract : This study investigates the feasibility of using a high resolution simple diagnostic model (WOCSS) initialized from a coarser grid full physics prognostic model (COAMPS) to obtain mesoscale winds. This approach using COAMPS 81, 27, and 9 km forecast model soundings to initialize WOCSS at 3 km is compared to COAMPS forecast at 3km horizontal resolution alone. Four case studies were collected during various weather regimes in Central California. Observations were collected from 5 different agencies and were used for verification of the models. The sensitivity of various WOCSS parameters were also explored. The results showed that overall the COAMPS(9km)/WOCSS approach provides winds as good as COAMPS at 3 km at a greatly reduced computation time. The COAMPS/WOCSS methodology performed particularly well during non-frontal situations where low-level inversions were present. Separation of the surface observation data by agency revealed large errors from data networks with low maintenance, monitoring and site specifications standards. The highest flow surface in WOCSS was the only parameter that displayed any significant sensitivity. Further work is needed to test the advantages of this sensitivity. COAMPS/WOCSS mesoscale forecast winds may prove to be very useful as input to emergency response applications such as dispersion and trajectory modeling.
Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings

Cross-lingual approaches are growing in popularity in the machine learning domain, where large amounts of data are required to obtain better generalizations. Moreover, one of the biggest problems is the availability of clinical speech data, where most of the resources are in English. For instance, not many available Alzheimer’s Disease (AD) corpora in different languages can be found in the literature. Despite the phonological and phonemic differences between Spanish and English, fortunately, there are also similarities between these two languages, e.g., around 40% of all words in English have a re-lated word in Spanish. In this work, we want to investigate the feasibility of combining information from English and Spanish languages to discriminate AD. Two datasets were considered: part of the Pitt Corpus, which is composed of English speakers, and a Spanish AD dataset composed of speakers from Chile. We based our analysis on known acoustic (Wav2Vec) and word (BERT, RoBERTa) embeddings using different classifiers. Strong language dependencies were found, even using multilingual representations. We observed that linguistic information was more important for classifying English AD (F-Score=0.76) and acoustic for Spanish AD (F-Score=0.80). Using knowledge transferred from English to Spanish achieved F-scores of up to 0.85 for discriminating AD.
Dynamics of branched polymers : motion, scattering and rheology

Here, molecular models for the description of the dynamics and flow properties of melts of entangled branched polymers are developed. Their predictions are compared against data from MD simulations, NSE spectroscopy, and rheological measurements. Following an introductory chapter, in chapters 2 and 3 the attention is drawn to local branch point motion. Expressions for the MSD correlation functions are derived. The expression for the segmental MSD is compared against MD results [1], obtained from simulations in which arm ends are motionless, i.e. standard CR events are suppressed. This comparison suggests an apparent slow relaxation of the branch point localisation at early times; here, this process is referred to as “early tube dilation” (ETD). Standard CR events are also taken into account by utilizing the dynamic dilution hypothesis [2]. It is shown that the theoretical expression matches MSD data from simulations in which chain ends are mobile provided that CR and ETD are accounted for in the model. The theoretical MSD correlation functions are also used, in the context of a dynamic version of the RPA, for the calculation of the scattering signal from the branch point; the predicted signal is compared against NSE data [3]. Chapters 4 and 5 deal with the flow properties of pom-pom melts. FSR and cross-slot flow measurements [4, 5, 6, 7], from industrial melts, indicate a viscosity overshoot in extension. In chapter 4 this phenomenon is modelled by introducing the overshoot model, a variant of the pom-pom model of McLeish and Larson [8]. Following the approach of Inkson et al. [9], a multimode version of the overshoot model is employed to fit the FSR data for the industrial resin DOW150R [6, 7]. In chapter 5, CR events are incorporated. They are modelled by means of Rouse-like hops in common with Refs. [10, 11, 12, 13]. In analogy with Refs. [14, 15], the physical picture of thin and fat tubes is adopted in the description of the dynamics of the system. The model predicts strain hardening (thinning) at extension (shear) during start up of the flow. The maximum stretch, however, becomes dependent on flow-rate.
Cs Evaporation in a Negative Ion Source and Cs Cleaning Tests by Plasma Sputtering

The compact radio frequency negative ion source negative ion optimization phase 1 (NIO1) has been designed, built, and operated by Consorzio RFX and INFN-LNL in order to study and optimize the production and acceleration of $\text{H}^{-}$ ions in continuous operation. In 2020, Cs was evaporated in the source to increase the total extracted ion current. After an initial reduction of extracted electron to ion ratio and subsequently an increase of extracted negative ion current, the source performances progressively worsened, because of the excessive amount of Cs evaporated in the source; the extracted electron to ion ratio increased from below 1 to more than 10, while ion current density reduced from max. 67 A/m2 ion current to not more than 30 A/m2. This article presents the experimental observations collected during Cs evaporation (reduction of plasma light, Cs emission, $H_{\beta } / H_{\gamma }$ ratio, and so on) that can help stopping the process before an excessive amount of Cs is introduced in the source. This article also reports the cleaning techniques tested to remove the Cs excess by the action of hydrogen or argon plasmas, while argon was predictably more effective in surface sputtering, and a 3-h Ar plasma treatment was not sufficient to recover from overcesiation.
Impact of new genetic parameters from a three trait model on the Italian Holstein genetic evaluation for production

In November 2004 the first Italian genetic evaluation based on Test day random regression model (TDRRM) was published. The model is a Multiple-Trait-Multiple-Lactation model including four traits and three lactations for each trait. The four traits evaluated are milk, fat and protein kg and somatic cell counts. Genetic parameters used in the current model were estimated in 2003 (Muir et al., 2007). New parameters were estimated in 2006 (Canavesi,2007) with a model including only the three production traits. The estimated parameters resulted in a lower heritability and a higher within trait across lactations genetic correlations compared to the four traits model. This research investigated the impact of the three traits genetic model genetic parameters on the stability of genetic proofs. Data from November 2002 and from May, August and November 2006 and February 2007 were used to estimate genetic proofs with the new parameters. The stability of those proofs, measured in terms of simple and rank correlations, was compared with the stability of the corresponding official proofs computed using the four traits model. Correlations among proofs were from 1% to 4% for certain group of bulls. Correlations were also very high for cows, few top cows changed because of extreme values for protein and fat kg. Further research is ongoing to investigate other changes in the model that may improve stability over time.
ANALYSIS OF PROFITABILITY AND TECHNICAL EFFICIENCY OF BROILER PRODUCTION IN NORTH-CENTRAL, NIGERIA.

The study was carried out to determine the profitability and technical efficiency of broiler production in North-central, Nigeria. A multistage sampling technique was employed in the selection of 156 respondents. Data were analysed using descriptive statistics, budget technique and Cobb-Douglas stochastic frontier production model. The result of the study reveals that the average age of a broiler farmer in the study area was 43 years with a minimum of secondary school education, 10 years of experience in broiler production and an average family size was 7 members. With an average stock of 396 birds, the gross revenue was ₦ 1,766,578, the total cost was ₦1,660,254, and gross margin recorded was ₦106,324. The estimate of the production model revealed that initial stock, feeds, and medication were the significant inputs that influenced the production of broilers. The technical efficiency estimates of the broiler farmers ranged from 78% and 100% with a mean technical efficiency of 92.5%. The high cost of feeds, which constituted 76% of the total variable cost, was identified as the major constraint to broiler production. It is therefore recommended that initiatives that could drastically reduce market price of feeds should be implemented by relevant agencies of governments and NGOs.
The Bologna process and its impact on the higher education reforms in Kazakhstan: a case of policy transfer and translations

ABSTRACT The paper examines Kazakhstan’s decision to join the Bologna Process (BP), its implementation, and its impact on the higher education system in the country. Many post-Soviet countries have joined the BP, while many developing countries are also aligning their higher education systems with it. A diverse body of literature attempts to address the questions as to why do countries engage in policy borrowing and what makes it successful. Through our in-depth primary case study of Kazakhstan and a comparative assessment of similar cases in the post-Soviet space researched by other scholars, we make twofold contribution to this literature. First, we argue that governments often borrow policies with less clearer objectives, making it difficult to evaluate ‘success’ or ‘failure’ of the policy transfer. Second, differentiating between the success of policy transfer itself and the achievement of its perceived or real goals, we contend that the success of policy transfer is not a guarantee for the achievement of policies’ original objectives which may be disappointing for both exporting and importing parties. In that, wide-ranging socio-political institutional differences explain the varied rationales and outcomes.
The Effect of Weak Fields at Multiple Frequencies on the Scattering and Generation of Waves by Nonlinear Layered Media

The solution of the system of integral equations is approximated by the help of numerical algorithms. Those include the application of suitable quadrature rules and iterative procedures to solve the resulting nonlinear algebraic problems. Since in each iteration step the solution of linear algebraic systems is required, the approximate solution of the nonlinear problems is described by means of solutions of linear problems with an induced nonlinear permittivity. In continuation of our results from previous works ([3], [4]), where we only considered one excitation field at the basic frequency, here results of calculations of characteristics of the
Maladaptive Cognitive Schemas as Predictors of Disordered Eating: Examining the Indirect Pathway through Emotion Regulation Difficulties

A scarcity of research has looked into the association of maladaptive core beliefs with dysfunctional eating patterns. Moreover, no prior study has considered the potential role of difficulties in negative emotion regulation when disentangling the complex correlations between early maladaptive schemas and disturbed eating habits. Our study aimed at exploring the distinct relationships between early maladaptive schemas and disordered eating, while investigating the indirect role of emotion regulation difficulties within these associations. We collected data from 982 Lebanese young adults (18–30 years old), distributed across the five Lebanese governorates, who completed the Eating Attitudes Test (EAT-26), the Young Schema Questionnaire—Short Form 3 (YSQ-SF3), and the Difficulties in Emotion Regulation Scale—16 Item Version (DERS-16). The results showed that the disconnection and rejection schema domain, under which the early maladaptive schema of mistrust was the most predictive of disordered/inappropriate eating attitudes. All the remaining maladaptive schema domains (i.e., the impaired autonomy/performance, impaired limits, other-directedness, and overvigilance/inhibition schema domains) exerted significant indirect effects on disordered eating attitudes through difficulties in emotion regulation. Our findings gave prominence to a potential intrinsic mechanism through which maladaptive cognitive schemas are linked to disordered eating behaviors, emphasizing the role of emotion dysregulation as a cardinal actor within this model. They sustain the surmise that cognitively and emotionally vulnerable individuals exhibit stronger propensities for inappropriate dietary patterns, as a means to offset their inner weakness. This study broadens the medical community’s insights into the underpinning processes behind eating disorder psychopathology and could therefore make a step towards the adoption of innovative therapeutic approaches that promote emotion regulation skills in the context of schema therapy.
The Influence of Mutual Assistance of Construction Workers with Different Personality Traits on Team Safety

Construction workers' unsafe behaviors are closely related to construction safety performance. Most existing studies on construction workers' personality traits and safety behaviors have ignored the flexibility of worker mix at construction sites, the dynamics of workers' behaviors, and the complexity of environmental risks at construction sites. Based on the cognitive process of construction workers' safety behaviors and from the perspective of personality traits, this research establishes an agent-based model of steelworkers' mutual assistance behavior. The AnyLogic platform is adopted to show emerging phenomena in complex problems. Through simulation experiments, the optimized configuration of construction team members under different risk environments can be obtained. This research is conducive to project managers to understand the influence of construction workers' mutual assistance on team safety, assess workers' potential for safe work before recruitment, and carry out active safety management from the source instead of looking for the cause of the accident afterward, making safety management theory more realistic and dynamic.