Miracle-dz/UniFAR-FTUs huggingface dataset:
A Note on Economic Growth and Labor Automation

This paper analyzes the relationship between labor automation and economic growth. I build a task-based framework and utility to evaluate how labor automation range can maximize economy in diﬀerent conditions. I also analyze relationships among labor automation, capital, consumption, and investment. I considered the fact that automation will be expanded due to technological advancements while labor tends to obtain new skills to be more competitive. The best labor automation depends on labor productivity and machine productivity. When labor productivity exceeds machine productivity, labor automation will be less than half of the total tasks. In the opposite case, labor automation will be more than half of the total tasks. I also demonstrated that the investment decreases rapidly when workers become more competitive. When disruptive technologies are introduced, consumption will increase sharply together with labor automation, which is consistent with the ﬁrst conclusion.
Case Report A Huge Mesenteric Lymphangioma Presenting as a Small Bowel Volvulus in a Paediatric Patient: A Case Report

Lymphangioma is a benign tumor characterized by proliferation of thin-walled lymphatic spaces. Lymphangioma of the small-bowel mesentery is rare, with an incidence of 1 :250,000, representing less than 1% of all lymphangiomas. The predilection of the tumor is in the head and neck (70%), axillary (20%), and internal organs (10%). They are usually asymptomatic but can cause acute abdominal symptoms due to complications such as volvulus, bleeding, or lymphangioma rupture that require emergent surgery. Here, we report a case of mesenteric lymphangioma (ML) of a small bowel in a paediatric patient who presented with pain abdomen on and o ﬀ which increased in severity and later had features of subacute intestinal obstruction. He underwent explorative laparotomy, and the mass was excised completely along with the part of small intestine. Pathological analysis of the surgical specimen con ﬁ rmed the diagnosis of ML of the small intestine. The postoperative recovery was uneventful, and the patient was discharged after ten days of hospital stay. Though benign in nature, ML may cause acute abdominal symptoms that require emergent surgery. Therefore, it has to be kept in di ﬀ erential diagnosis of the acute abdominal condition.
A PROVABLE CONTEXTUAL RETRIEVAL STRATEGY IN THE PUBLIC CLOUD USING OPTIMAL MATCHING OVER SECURED DATA

Semantic searching over encrypted data is a crucial task for secure information retrieval in public cloud. It aims to provide retrieval service to arbitrary words so that queries and search results are flexible. In existing semantic searching schemes, the verifiable searching does not be supported since it is dependent on the forecasted results from predefined keywords to verify the search results from cloud, and the queries are expanded on plain text and the exact matching is performed by the extended semantically words with predefined keywords, which limits their accuracy. In this paper, we propose a secure verifiable semantic searching scheme. For semantic optimal matching on ciphertext, we formulate word transportation (WT) problem to calculate the minimum word transportation cost (MWTC) as the similarity between queries and documents, and propose a secure transformation to transform WT problems into random linear programming (LP) problems to obtain the encrypted MWTC. For verifiability, we explore the duality theorem of LP to design a verification mechanism using the intermediate data produced in matching process to verify the correctness of search results. Security analysis demonstrates that our scheme can guarantee verifiability and confidentiality. Experimental results on two datasets show our scheme has higher accuracy than other schemes.
A link between measured neutron star masses and lattice QCD data

We study the hadron-quark phase transition in neutron star matter and the structural properties of hybrid stars using an equation of state (EOS) for the quark phase derived with the field correlator method (FCM). We make use of the measured neutron star masses, and particularly the mass of PSR J1614-2230, to constrain the values of the gluon condensate $G_2$ which is one of the EOS parameter within the FCM. We find that the values of $G_2$ extracted from the mass measurement of PSR J1614-2230 are fully consistent with the values of the same quantity derived, within the FCM, from recent lattice quantum chromodynamics (QCD) calculations of the deconfinement transition temperature at zero baryon chemical potential. The FCM thus provides a powerful tool to link numerical calculations of QCD on a space-time lattice with neutron stars physics.
Extreme Multi-label Text Classification with Pseudo Label Descriptions

Extreme multi-label text classification (XMTC) 001 is the task of tagging each document with the 002 relevant labels in a large predefined label space, 003 where the label frequency distribution is of-004 ten highly skewed. That is, a large portion of 005 labels (namely the tail labels) have very few 006 positive instances, posing a hard optimization 007 problem for training the classification models. 008 The severe data sparse issue with tail labels 009 is more announced in recent neural classifiers, 010 where the embeddings of both the input docu-011 ments and the output labels need to be jointly 012 learned, and the success of such learning re-013 lies on the availability of sufficient training in-014 stances. This paper addresses this tough chal-015 lenge in XMTC by proposing a novel approach 016 that combines the strengths of both traditional 017 bag-of-words (BoW) classifiers and recent neu-018 ral embedding based classifiers. Specifically, 019 we use a trained BoW model to generate a 020 pseudo description for each label, and apply 021 a neural model to establish the mapping be-022 tween input documents and target labels in 023 the latent embedding spaces. Our experiments 024 show significant improvements of the proposed 025 approach over other strong baseline methods 026 on benchmark datasets, especially on tail label 027 prediction. We also provide a theoretical anal-028 ysis for relating BoW and neural models w.r. t. 029 performance lower bound. 030
Above-ground biomass estimation in a Mediterranean sparse coppice oak forest using Sentinel-2 data

Implementing a scheduled and reliable estimation of forest characteristics is important for the sustainable management of forests. This study aimed at evaluating the capability of Sentinel-2 satellite data to estimate above-ground biomass (AGB) in coppice forests of Persian oak (Quercus brantii var. persica) located in Western Iran. To estimate the AGB, field data collection was implemented in 80 square plots (40×40 m, area of 1600 m2). Two diameters of the crown were measured and used to calculate the AGB of each tree based on allometric equations. Then, the performance of satellite data in estimating the AGB was evaluated for the area of study using the field-based AGB (dependent variable) as well as the spectral band values, spectrally-derived vegetation indices (independent variables) and four machine learning (ML) algorithms: Multi-Layer Perceptron Artificial Neural Network (MLPNN), k-Nearest Neighbor (kNN), Random Forest (RF), and Support Vector Regression (SVR). A five-fold cross-validation was used to verify the effectiveness of models. Examination of the Pearson’s correlation coefficient between AGB and the extracted ‎values showed that IPVI and NDVI vegetation indices had the highest correlation with AGB (r = 0.897). The results indicated that the MLPNN algorithm was the best ML option (RMSE = 1.71 t ha-1; MAE = 1.37 t ha-1; relative RMSE = 24.75%; R2 = 0.87) in estimating the AGB, providing new insights on the capability of remotely sensed-based AGB modeling of sparse Mediterranean forest ecosystems in an area with limited number of field sample plots.
Magnetic fluctuations and effective magnetic moments in γ-iron due to electronic structure peculiarities

Applying the local density and dynamical mean field approximations to paramagnetic γ-iron we revisit the problem of the theoretical description of its magnetic properties in a wide temperature range. We show that contrary to α-iron, the frequency dependence of the electronic self-energy has a quasiparticle form for both t2g and eg states. In the temperature range T = 1200‐1500 K, where γ-iron exists in nature, this substance can be nevertheless characterized by temperature-dependent effective local moments, which yield relatively narrow peaks in the real part of the local magnetic susceptibility as a function of frequency. At the same time, at low temperatures γ-iron (which is realized in precipitates) is better described in terms of the itinerant picture. In particular, the nesting features of the Fermi surfaces yield the maximum of the static magnetic susceptibility at the incommensurate wave vector qmax belonging in the direction qX − qW (qX ≡ (2π/a)(1,0,0),qW ≡ (2π/a)(1,1/2,0), a is a lattice parameter) in agreement with the experimental data. This state is found, however, to compete closely with the states characterized by magnetic wave vectors along the directions qX − qL − qK ,w hereqL ≡ (2π/a)(1/2,1/2,1/2), qK ≡ (2π/a)(3/4,3/4,0). From the analysis of the uniform magnetic susceptibility we find that contrary to α-iron, the Curie-Weiss law is not fulfilled in a broad temperature range, although the inverse susceptibility is nearly linear in the moderate-temperature region (1200‐1500 K). The nonlinearity of the inverse uniform magnetic susceptibility in a broader temperature range is due to the density of states peak located close to the Fermi level. The effective exchange integrals in the paramagnetic phase are estimated on the base of momentum-dependent susceptibility.
Mesenchymal stem cells alleviate aging in vitro and in vivo

Background Aging is a natural and multi-factorial phenomenon associated with multiple human pathologies. Mesenchymal stem cells (MSCs) hold great promise in clinical fields of medicine including tissue repair, cardiovascular disease, and brain ischemic injury. The purpose of this study was to explore the roles of MSCs in improving the condition of aging cells, repairing aging tissues and organs, and extending the life span of elderly mice. Methods This study was carried out both in vitro and in vivo. We used MSCs to intervene with IMR-90 senescent cells induced by D-galactose and aged C57BL/6 mice. Results After 48 hours of co-culturing the aged cells with MSCs, the up-regulated expression of inflammatory factor, interleukin 6 (IL6), and the down-regulated expression of several growth factors, such as transforming growth factor (TGFβ1) and growth differentiation factor (GDF11), in D-galactose induced senescent cells were reversed. Moreover, compared with aged cells, the number of mitochondria and the telomere length were increased with MSC treatment. Similarly, in aged mice, the symptoms related to aging were improved after MSC treatment: the mouse hair became shiny and dense, and the symptoms of bladder overactivity were relieved. Hematoxylin and eosin (H&E) and Masson’s trichrome staining showed that the histopathological changes in skin, bladder, liver, and lung were apparently improved. Conclusions Treatment with MSCs effectively improves aging-related phenotypes and plays a beneficial role in improving aging and aging-related diseases.
Maternal Th17/Treg Cytokines and Small Extracellular Vesicles in Plasma as Potential Biomarkers for Preeclampsia

Preeclampsia is one of the most serious pregnancy complications. It may be caused by immunological changes in the early placental microenvironment. The contents of small EVs may serve as biomarkers of pregnancy complications. Evidence suggests that the balance between T helper 17 (Th17) and regulatory T (Treg) cells are critical for preventing preeclampsia. The study recruited 39 pregnant women with preeclampsia and 127 healthy pregnant women. We assessed the levels of both Th17 and Treg cytokines (IL-10, IL-17, IL-21, IL-22, and TGF-β) in their plasma and small EVs. We found significant differences in the levels of all cytokines in the plasma between the two groups during the second trimester. We also observed significant differences between the two groups in the levels of EV-encapsulated cytokines IL-21, IL-22, and TGF-β, as well as in total small EVs, during the second trimester. The ROC analysis showed that the classification efficiency (AUC) of TGF-β in small EVs was 0.81. TGF-β had the best discriminant ability of all the single EV biomarkers tested, the cross-validation of the accuracy was 0.89. Th17 and Treg cytokines in plasma and small EVs may contribute to maternal immune activation and clarify the potential mechanisms of small EVs and cytokines in preeclampsia.
Predictive Model for Human Activity Recognition Based on Machine Learning and Feature Selection Techniques

Research into assisted living environments –within the area of Ambient Assisted Living (ALL)—focuses on generating innovative technology, products, and services to provide medical treatment and rehabilitation to the elderly, with the purpose of increasing the time in which these people can live independently, whether they suffer from neurodegenerative diseases or disabilities. This key area is responsible for the development of activity recognition systems (ARS) which are a valuable tool to identify the types of activities carried out by the elderly, and to provide them with effective care that allows them to carry out daily activities normally. This article aims to review the literature to outline the evolution of the different data mining techniques applied to this health area, by showing the metrics used by researchers in this area of knowledge in recent experiments.
The Clinicopathologic Features of 22 Cases With Primary Invasive Papillary Carcinoma of the Breast Identified in 1153 Cases With Invasive Breast Carcinoma: Single-Center Experience.

Objective Invasive papillary carcinoma (IPC) of the breast is an uncommon histologic subtype with limited data in the literature. The aim of this study was to increase the evidence base by presenting clinicopathological findings of cases diagnosed as IPC. Materials and Methods Hematoxylin and eosin sections and immunostaining of surgical excision specimens diagnosed as invasive breast carcinoma were re-evaluated, retrospectively. Results IPC was detected in 22 cases (1.9%), of which 7 (0.6%) had pure and 15 (1.3%) had mixed morphology. Histologic types accompanying IPC were: Invasive ductal carcinoma (IDC) (15/15); invasive micropapillary carcinoma (3/15); and pleomorphic lobular carcinoma (1/15). Patient ages ranged between 36 and 89 (median 56.5) and the tumor size from 8 to 70 mm (median 19 mm). The histologic grade was 3 in five cases, 2 in 13, and 1 in four cases. The nuclear grade was 3 in 10 cases and 2 in 12. The values of positivity for estrogen receptor, progesterone receptor, human epidermal growth factor receptor-2, and Ki-67 index indicated Luminal B phenotype in 16 (72.7%), triple-negative in 5 (22.7%), and Luminal A in 1 case (4.6%). Ductal carcinoma in situ was noted in 19 cases (86.4%). Conclusion IPC was mostly detected as an accompanying carcinoma to IDC at postmenopausal ages and was mostly Luminal B phenotype with intermediate-to-high grade features.
Changes in Eating Behaviors Following Taste Education Intervention: Focusing on Children with and without Neurodevelopmental Disorders and Their Families: A Randomized Controlled Trial

Fussy-eating children often display problematic behaviors around mealtimes, such as irritation, opposition, or may even throw tantrums. This may lead to reduced food variety and poor nutritional profiles, which may increase parents’ worries about their children’s diet, particularly when the children also have neurodevelopmental disorders (ND) such as Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactive Disorder (ADHD). To investigate the effect of Taste Education on problematic mealtime behaviors, 81 children aged 8–12 years, with ND (n = 33) and without (n = 48), and their parents, participated in a 7-week Taste Education intervention. Children were matched on age, sex, and ND, and allocated at random into Immediate-intervention and Delayed-intervention groups. Parents completed the Meals in Our Household Questionnaire (MiOH). To examine changes in MiOH-scores, repeated-measures analysis-of-variance with time-points were used, with condition as factors (Immediate intervention and Delayed intervention). Baseline measures were adjusted for, and a robust linear mixed-model was fitted. Results showed superior outcomes for Intervention compared to waiting on all measures of MiOH, with stable effects through six-month follow-up. Differences were non-significant between children with and without ND. The Taste Education program suggests a promising, simple, and non-intrusive way to reduce children’s problematic mealtime behaviors in the long term.
Emerging Nuclear Medicine Imaging of Atherosclerotic Plaque Formation

Atherosclerosis is a chronic widespread cardiovascular disease and a major predisposing factor for cardiovascular events, among which there are myocardial infarction and ischemic stroke. Atherosclerotic plaque formation is a process that involves different mechanisms, of which inflammation is the most common. Plenty of radiopharmaceuticals were developed to elucidate the process of plaque formation at different stages, some of which were highly specific for atherosclerotic plaque. This review summarizes the current nuclear medicine imaging landscape of preclinical and small-scale clinical studies of these specific RPs, which are not as widespread as labeled FDG, sodium fluoride, and choline. These include oxidation-specific epitope imaging, macrophage, and other cell receptors visualization, neoangiogenesis, and macrophage death imaging. It is shown that specific radiopharmaceuticals have strength in pathophysiologically sound imaging of the atherosclerotic plaques at different stages, but this also may induce problems with the signal registration for low-volume plaques in the vascular wall.
Knowledge, Practice and Challenges of Special Education Teachers in Managing the Behaviour of Students with Learning Disabilities

Students with learning disabilities often have behavioural problems, depending on their individual differences. Therefore, it is very important for special education teachers to be knowledgeable and skilled in managing behaviour issues of these students. The objective of this study is to explore the knowledge of special education teachers, their practices and challenges they faced in managing the behaviour of these students. The design of the study is qualitative where 12 special educators teaching in the Special Education Integration Program (SEIP) were interviewed. Data was analysed manually using interview transcripts. The findings show that the respondents have limited knowledge in managing the behaviour of students with learning disabilities. However, there are some specific challenges that are related to teachers, parents, students and issues with time constraints. All respondents reported that they have their own practices in managing the behaviour of these students. Among these practices are establishing a good relationship with students, establishing a good relationship with parents, and applying both positive and negative reinforcement. This uses semi-structured interviews. Questions were formulated as guidelines to obtain information from the research subjects. Semi-structured were to allow the to adjust and adapt the questions posed according to the during the inter view. Questions asked to practices special education teachers in managing and shaping the behaviour of students with learning The questions from a study by (Ahmad Hanifah,
Efectos de los programas de intervención con yoga en estudiantes que presentan trastorno del espectro autista: una revisión sistemática (Effects of yoga intervention programs in students with autism spectrum disorder: a systematic review)

El objetivo de esta investigación es realizar una revisión sistemática acerca de los efectos de las intervenciones basadas en yoga en niños con TEA para considerar si es recomendable o no su aplicación como tratamiento complementario en otras intervenciones. Para el estudio se realizó una revisión sistemática de la literatura por medio del modelo PRISMA, a cerca de los efectos de las intervenciones de yoga en el TEA. La búsqueda se llevó a cabo en los buscadores World Wide Science, Google Scholar, Pubmed, donde se aplicaron como criterio de inclusión; publicaciones de los 10 últimos años, en idioma español e inglés, estudiantes hasta los 16 años de ambos géneros y como criterio de exclusión; los artículos de otras revisiones sistemáticas, tesis y libros. Los resultados arrojaron 677 publicaciones, que luego de seguir con el protocolo de selección, la eliminación de duplicados y selección por título se llegó a la selección de ocho artículos que cumplieron con los criterios establecidos para una revisión profunda de su contenido. Las intervenciones con yoga presentaron efectos positivos en aspectos conductuales, sociales, emocionales y físicos. Debido a esto se sugiere implementar el yoga como modelo de intervención como práctica complementaria al TEA. Abstract. The objective of this research is to perform a systematic review about the effects due to the practice of Yoga in children with ASD (Autism spectrum disorder) and consider if this practice applies or not, as a complementary treatment in other interventions of the same characteristics. For the study, a systematic review of the literature was carried out using the PRISMA model, about the effects of yoga interventions in ASD. The search was carried out in the argument engines: World Wide Science, Google Scholar, Pubmed, inclusion criteria was; publications from the last 10 years, in Spanish and English, students within 16 years of age of both genders and as an exclusion criterion; articles from other systematic reviews, theses and books. The results yielded 677 publications that after following the selection protocol, elimination of duplicates and selection by title, nine articles were selected that fulfill the established criteria for an accurate review of their content. Yoga interventions presented positive effects in behavioral, social, emotional and physical aspects. Due to this, it is suggested to implement yoga method as a model of intervention as a complementary practice to ASD.
Majorana surface states of superfluid He3 A and B phases in a slab

Motivated by experiments on the superfluid 3He confined in a thin slab, we design a concrete experimental setup for observing the Majorana surface states. We solve the quasi-classical Eilenberger equation, which is quantitatively reliable, to evaluate several quantities, such as local density of states (LDOS), mass current for the A-phase, and spin current for the B-phase. In connection with realistic slab samples, we consider the upper and lower surfaces and the side edges including the corners with several thicknesses. Consequently the influence on the Majorana zero modes from the spatial variation of l-vector for the A-phase in thick slabs and the energy splitting of the zero-energy quasi-particles for the B-phase confined in thin slabs are demonstrated. The corner of slabs in the B-phase is accompanied by the unique zero-energy LDOS of corner modes. On the basis of the quantitative calculation, we propose several feasible and verifiable experiments to check the existence of the Majorana surface states, such as the measurement of specific heat, edge current, and anisotropic spin susceptibility.