Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Ability to Learn According to the Feldenkrais Method: From Writings to Practice

The Feldenkrais method seeks to improve individual ability, and human functioning in general, through movement. According to Moshe Feldenkrais, refining movement by enhancing the nervous system’s functioning also improves our ability to learn. The method has already been shown to improve mood, quality of life, and various physical aspects. The present study seeks to examined students’ theoretical learning capabilities during a Feldenkrais lesson, during a period of a few hours after the lesson, and the correlation between these two time periods. The main research question was: Does doing Feldenkrais exercises improve the ability to learn in 120 students at Technion-Israel Institute of Technology. The findings show that the students assimilated the theoretical content conveyed during the lessons. The study also found that most of the students experienced improved ability for theoretical learning after the lessons. A strong, positive correlation was found between the students’ high ability for theoretical learning during the lesson, and improvement in the learning ability of the same students, experienced after the lesson. The study’s conclusion is that a variety of internal, physiological and mental/emotional processes occur when doing Feldenkrais exercises, which alleviate pain, create new neural pathways between the brain and the body, and also “unblock” stressful neural pathways, and which significantly improved the participants’ concentration, attention, and theoretical learning abilities, both during and after the lessons.
Automation Aftereffects: The Influence of Automation Duration, Test Track and Timings

Automation aftereffects (i.e., degraded manual driving performance, delayed responses, and more aggressive avoidance maneuvers) have been found in driving simulator studies. In addition, longer automation duration seems to result in more severe aftereffects, compared to shorter duration. The extent to which these findings generalize to real-world driving is currently unknown. The present study investigated how automation duration affects drivers’ take-over response quality and driving performance in a road-work zone. Seventeen participants followed a lead vehicle on test track. They encountered the road-work zone four times: two times while driving manually, and after a short and a long automation duration. The take-over request was issued before the lead vehicle changed lane to reveal the road-work zone. After both short and long automation durations, all drivers deactivated automation well ahead of the road-work zone. Compared to manual, drivers started their steering maneuvers earlier or at similar times after automation (independently of duration), and none of the drivers crashed. However, slight increases in vehicle speed and accelerations were observed after exposure to automation. In sum, the present study did not observe as large automation aftereffects on the test track as previously found in driving simulator studies. The extent to which these results are a consequence of a more realistic test environment, or due to the duration between the timings for the take-over request and the conflict appearance, is still unknown.
Effect of heat treatment on structures and mechanical properties of electroless Ni–P–GO composite coatings

In this work, graphene oxide (GO) was incorporated into a nickel phosphorus (Ni–P) alloy matrix by electroless plating. A series of experiments were carried out to examine the mechanical properties. The surface-heat treatment of Ni–P–GO composite coatings was performed at 200 °C, 400 °C, and 600 °C under vacuum atmosphere, respectively. X-ray diffraction (XRD) results indicated that composite coatings from a mixture of amorphous and crystalline phases transformed into a crystal structure after heat treatment. The microstructures of Ni–P–GO composite coatings were revealed by scanning electron microscopy (SEM) and atomic force microscopy (AFM). The micro-hardness and wear resistance of composite coatings were evaluated using both a micro-hardness tester and wear test apparatus. Additionally, the worn surface of Ni–P–GO composite coatings was analyzed by SEM. The results demonstrated that the heat treatment composite coatings have higher hardness and wear resistance than the composite coatings without heating. Composite coatings perform the best after heat treatment at 400 °C.
The Evolution and Arrest of a Turbulent Stratified Oceanic Bottom Boundary Layer over a Slope: Upslope Regime and PV Dynamics

The influence of a sloping bottom and stratification on the evolution of an oceanic bottom boundary layer (BBL) in the presence of a mean flow is explored. As a complement to an earlier study by Ruan et al. (https://doi.org/10.1175/JPO-D-18-0079.1) examining Ekman arrest in a downslope regime, this paper describes turbulence and BBL dynamics during Ekman arrest in the upslope regime. In the upslope regime, an enhanced stratification develops in response to the upslope Ekman transport and suppresses turbulence. Using a suite of large-eddy simulations, we show that the BBL evolution can be described in a self-similar framework based on a nondimensional number X/Xa. This nondimensional number is defined as the ratio between the lateral displacement of density surfaces across the slope X and a displacement Xa required for Ekman arrest; the latter can be predicted from external parameters. Additionally, the evolution of the depth-integrated potential vorticity is considered in both upslope and downslope regimes. The PV destruction rate in the downslope regime is found to be twice the production rate in the upslope regime, using the same definition for the bottom mixed layer thickness. It is shown that this asymmetry is associated with the depth scale over which turbulent stresses are active. These results are a step toward improving parameterizations of BBL properties and evolution over sloping topography in coarse-resolution ocean models.
Kircherite, a new mineral of the cancrinite-sodalite group with a 36-layer stacking sequence: Occurrence and crystal structure

Abstract This paper reports on the occurrence and the crystal structure of kircherite, a new member of the cancrinite-sodalite group of minerals from Valle Biachella, Sacrofano community (Rome, Latium, Italy). The mineral occurs in association with sodalite, biotite, iron oxides, titanite, fluorite, and a pyrochlore-group mineral. The groundmass of the ejectum consists essentially of K-feldspar with subordinate plagioclase. Kircherite (3 mm as largest size) is observed within miarolitic cavities of the rock and typically occurs as parallel associations of hexagonal, thin, tabular colorless to light-gray transparent crystals; it is non-pleochroic and uniaxial negative, with ω = 1.510(2) and ε = 1.502(2). Dcalc is 2.457 g/cm3. Kircherite is trigonal with a = 12.8770(7), c = 95.244(6) Å, V = 13677(1) Å3, Z = 1. The structure has been refined in the trigonal space group R32, obtaining a R-value of 8.5% on 8131 reflections with I/σI > 2. The strongest seven reflections in the X-ray powder pattern are [d in Å (I %) (hkl)]: 3.717 (100) (3 0 0), 2.648 (100) (2 1 28; 0 0 36), 3.232 (65) (2 1 19), 3.584 (60) (1 2 14), 3.604 (53) (1 0 25), 3.799 (52) (1 2 11), 3.220 (38) (2 2 0). The single-crystal FTIR spectrum rules out OH groups and shows the presence of H2O and CO2 molecules in the structural cages of the mineral. Chemical analysis gives (in wt%): SiO2 32.05, Al2O3 27.13, FeO 0.07, K2O 4.38, CaO 8.75, Na2O 13.62, MgO 0.01, MnO 0.02, TiO2 0.01, SO3 12.87, Cl 0.35, F 0.05, total 99.82. The empirical formula calculated on the basis of Σ(Si+Al) = 216 apfu is (Na89.09Ca31.63K18.85Fe0.20Mn0.06Mg0.05Ti0.03)Σ=139.91 [(Si108.13Al107.87)Σ=216.00O430. 00](SO4)32.58Cl2. 00F0.53⋅6.86H2O, which corresponds to the ideal formula [Na90Ca36K18]Σ=144(Si108Al108O432)(SO4)36⋅6H2O. The structure can be described as a stacking sequence of 36 layers of six-membered rings of tetrahedra along the c axis. The stacking sequence is ACABCABCABCACBCABCABCABCBABCABCABCAB…, where A, B, and C represent the positions of the rings within the layers. This sequence gives rise to cancrinite, sodalite, and losod cages, alternating along c. Sulfate groups occur within the sodalite and losod cages associated by Na, K, and Ca. H2O groups occur within the cancrinite cages, bonded to Ca and Na cations. Anion groups (SO2-4) in sodalite cages show positional disorder, and so do consequently the extraframework cation sites related to them.
PENGEMBANGAN KAPASITAS APARATUR DESA DALAM OPTIMALISASI PELAYANAN ADMINISTRASI KEPENDUDUKAN (Studi di Desa Ngimbrang Kecamatan Bulu Kabupaten Temanggung)

Otonomi desa memiliki salah satu tujuan untuk meningkatkan pelayanan publik kepada masyarakat desa guna mempercepat perwujudan kesejahteraan umum yang tercantum dalam Undang Undang Nomor 6 Tahun 2014 Tentang Desa. Namun pada realitanya, kegiatan pelayanan administrasi kependudukan pada Pemerintah Desa Ngimbrang belum berjalan secara optimal, hal tersebut disebabkan oleh masih terdapat aparat yang kurang paham dalam menggunakan komputer dan aplikasi pelayanan kependudukan, selain itu masih kurangnya kedisiplinan aparat dalam melaksanakan pekerjaannya. Maka, diperlukan pengembangan kapasitas sumber daya manusia bagi aparatur desa dalam rangka optimalisasi pelayanan administrasi kependudukan. Dalam rangka membantu adaptasi dan proses dalam pelayanan administrasi kependudukan dengan sistem komputer ini, diperlukan adanya pengembangan kapasitas SDM aparat Pemerintah Desa Ngimbrang dengan menggunakan model pengembangan kapasitas SDM Grindle dalam rangka optimalisasi pelayanan administrasi kependudukan. Jenis penelitian yang digunakan adalah metode penelitian deskriptif kualitatif. Teknik pengumpulan data yang digunakan adalah wawancara terstruktur dan dokumentasi, serta sumber data terdiri dari informan dan dokumentasi. Hasil penelitian menunjukkan bahwa pengembangan kapasitas SDM aparatur Pemerintah Desa Ngimbrang dilakukan melalui 2 jenis kegiatan, yaitu Pembimbingan Teknis (Bimtek) serta kegiatan Pendidikan dan Pelatihan (Diklat). Tahapan tersebut sejauh ini sudah dilaksanakan dengan baik karena sudah berpedoman pada regulasi yang ada dan selalu berkoordinasi dengan organisasi pemerintah daerah yang ada diatas pemerintah desa.
Outcomes of manual small incision cataract surgery and phacoemulsification in eyes with chorioretinal coloboma

Both phacoemulsification and MSICS provided good visual outcomes in eyes with chorioretinal coloboma. Male sex, hard cataract, macular involvement, and microcornea were associated with poor visual outcome. Purpose: To evaluate outcomes of manual small-incision cataract surgery (MSICS) and phacoemulsification in eyes with chorioretinal coloboma. Setting: Tertiary eye center, South India. Design: Retrospective study. Methods: Electronic medical records of 71 patients with chorioretinal coloboma undergoing cataract surgery from January 2017 to December 2019 were evaluated. Demographics, corrected distance visual acuity (CDVA), slitlamp biomicroscopy findings, grade of cataract, type of coloboma and associated posterior segment pathology, outcomes of different surgical techniques and risk factors for poor visual outcomes, and intraoperative complications were analyzed. Results: Among the 78 eyes studied, 53.9% eyes achieved visual outcome of 20/40 or greater and 20.5% eyes achieved CDVA less than 20/200. For the MSICS group, the median preoperative CDVA was 1.78 (interquartile range [IQR] 1.08 to 2.60) logMAR), which improved to 0.60 (IQR 0.30-1.08) logMAR postoperatively. In phacoemulsification group, the CDVA improved from 0.78 (IQR 0.60-1.00) logMAR to 0.18 (IQR 0.18-0.30) logMAR. Statistically significant visual improvement was noticed in both groups (P < .001 in both). However, eyes that underwent phacoemulsification showed better visual recovery (P < .001). The mean age at presentation was 49.7 ± 10.8 years. MSICS was the most commonly performed surgery (61.54%), and 62 eyes had uneventful cataract surgery. Twelve eyes in MSICS group and 4 eyes in phacoemulsification group had intraoperative complications. Poor visual outcome was associated with male sex, microcornea, hard cataracts, and macular involvement of coloboma. Conclusions:. MSICS is an alternative to phacoemulsification in colobomatous eyes with advanced cataract. Hard cataract and microcornea were risk factors for intraoperative complications. Significant postoperative improvement in CDVA was noticed in both macula involved and macula not involved groups.
An 8-yr Meteotsunami Climatology across Northwest Europe: 2010–17

: Meteotsunamis are shallow-water waves that, despite often being small ( ; 0.3m), can cause damage, injuries, and fatalities due to relatively strong currents ( . 1ms 2 1 ). Previous case studies, modeling, and localized climatol-ogies have indicated that dangerous meteotsunamis can occur across northwest Europe. Using 71 tide gauges across northwest Europe between 2010 and 2017, a regional climatology was made to understand the typical sizes, times, and atmospheric systems that generate meteotsunamis. A total of 349 meteotsunamis (54.0 meteotsunamis per year) were identiﬁed with 0.27–0.40-m median wave heights. The largest waves ( ; 1 m high) were measured in France and the Republic of Ireland. Most meteotsunamis were identiﬁed in winter (43%–59%), and the fewest identiﬁed meteotsunamis occurred in either spring or summer (0%–15%). There was a weak diurnal signal, with most meteotsunami identiﬁcations between 1200 and 1859 UTC (30%) and the fewest between 0000 and 0659 UTC (23%). Radar-derived precipitation was used to identify and classify the morphologies of mesoscale precipitating weather systems occurring within 6 h of each meteotsunami. Most mesoscale atmospheric systems were quasi-linear systems (46%) or open-cellular convection (33%), with some nonlinear clusters (17%) and a few isolated cells (4%). These systems occurred under westerly geostrophic ﬂow, with Proudman resonance possible in 43 out of 45 selected meteotsunamis. Because most meteotsunamis occur on cold winter days, with precipitation, and in large tides, wintertime meteotsunamis may be missed by eyewitnesses, helping to explain why previous observationally based case studies of meteotsunamis are documented predominantly in summer.
Factors Influencing Consumer Purchase Intention: A Study of Bookstores in Kurdistan Region of Iraq

Background problems: Due to the weakness of the banking system infrastructure, there is no online bookstore or E-commerce business in Kurdistan. Many customers complain about the problem of the parking facility, most of the bookstore locations have not enough parking space nearby for the customers to be able to visit the bookstores and spend quite enough time to search for books and buying them. Main objective: So, the researcher has decided to study the impact of social media marketing on customer purchase intention toward bookstores in Kurdistan region. Research methods: The sample of the study consists of 300 respondents of which 231 are males, and 69 are females. The instrument of the study is adapted from previously established studies. The first part of the survey was designed to investigate respondents’ demographics, whereas, the second part focused on the independent and dependent variables of the study. Finding: The results showed that all the independent variables significantly influenced customer purchase intention toward bookstores in Kurdistan. Contribution: The findings of the study implied valuable contribution in two aspects. Theoretically, the study findings showed evidence for the establishment of TAM. In terms of managerial implication, the study provided a practical recommendation for the practitioners. The research findings come to validate SMM as a potential promotional strategy for bookstores in the region. Conclusion: So, bookstore marketers need to include social media marketing to their promotional strategy and improve social media marketing skills which can give advantage for the bookstores.
Plastid and nuclear phylogenomic incongruences and biogeographic implications of Magnolia s.l. (Magnoliaceae)

Magnoliaceae, an assemblage of early diverged angiosperms, comprises two subfamilies, speciose Magnolioideae with approximately 300 species in varying numbers of genera and monogeneric Liriodendroideae with two species in Liriodendron L. This family occupies a pivotal phylogenetic position with important insights into the diversification of early angiosperms, and shows intercontinentally disjunct distribution patterns between eastern Asia and the Americas. Widespread morphological homogeneity and slow substitution rates in Magnolia L. s.l. resulted in poorly supported phylogenetic relationships based on morphology or molecular evidence, which hampers our understanding of the genus’ temporal and spacial evolution. Here, based on the newly generated genome skimming data for 48 Magnolia s.l. species, we produced robust Magnolia phylogenies using genome‐wide markers from both plastid genomes and single nucleotide polymorphism data. Contrasting the plastid and nuclear phylogenies revealed extensive cytonuclear conflicts in both shallow and deep relationships. ABBA‐BABA and PhyloNet analyses suggested hybridization occurred within sect. Yulania, and sect. Magnolia, which is in concordance with the ploidy level of the species in these two sections. Divergence time estimates and biogeographic reconstruction indicated that the timing of the three tropical Magnolia disjunctions coincided with the mid‐Eocene cooling climate and/or late Eocene climate deterioration, and two temperate disjunctions occurred much later, possibly during the warm periods of the Miocene, hence supporting the boreotropical flora concept of Magnolia s.l.
Examining the Correlation between University Students’ Perceived Teacher Immediacy and their Motivation

This descriptive correlational study was intended to explore the relationship between university students’ perceived teacher immediacy and their motivation. 800 students were selected from eight different universities of district Lahore through a multi-stage stratified random sampling method. Out of the selected, 726 participants responded on adapted Verbal Immediacy Behaviors (VIB), Revised Nonverbal Immediacy Measures (RNIM), and Students Motivation Scale (SMS). Independent sample t-tests’ results exhibited no significant gender-based or sector-wise difference in perceived teacher immediacy and motivation level of students. However, the correlational evidence showed a strong correlation between verbal, nonverbal, overall teacher immediacy, and student motivation. Results suggest that teacher immediacy functions as a means of enhancing the motivation of a student, based on this fact, the researchers suggest that content to promote teacher immediacy should be added in teacher education curricula.
Structural Modeling of Temporal Dominance Responses Using Covariances of Contemporary Changes in Subjective Qualities

The establishment of methods for recording and analyzing the dynamic changes in the human affective responses is important for understanding and utilizing affective dynamics. This study analyzes the structure of sensory and affective responses recorded through the temporal dominance (TD) method, which is an effective dynamic sensory appraisal approach. Temporal evolution is modeled by state-space local-level equations, and the structure of the responses is estimated based on the covariance matrix of the disturbances of the state variables. This approach is applied to the TD responses for strawberries recorded in a previous study, and its validity is examined.
Long memory in stock returns: Evidence from the Eastern European markets

This essay aims to analyze the impact of the 2020 global pandemic on the memory properties of the Eastern Europe stock markets, from the period between 1 January 2016 to 2 September 2020, the sample was divided in two subperiods: 1 January 2016 to 30 August 2019 (before Covid 19) and 2 September 2019 to 2 September 2020 (after Covid 19). To perform this analysis, different approaches were undertaken to analyze whether if: (i) the global pandemic (Covid-19) accentuated the exponents Detrended Fluctuation Analysis (DFA) and the Detrended Cross-Correlation Analysis (𝑝𝐷𝐶𝐶𝐴) in the Eastern European stock markets? The daily returns do not have normal distributions, they have negative asymmetries, leptocubtic, and also exhibit conditional heteroscedasticity. The exponents Detrended Fluctuation Analysis (DFA), during the Covid-19 period, range from 0.64 to 0.75, showing significant long memories in all markets, except for the SLOVAKIA market (0.45). When we compared the 2 subperiods, we found that 41 pairs of markets have cross-correlation coefficients without trend ( λDCCA) strong (out of 45 possible), and 4 pairs of markets decreased the 𝑟ℎ𝑜𝐷𝐶𝐶𝐴 in particular the markets ESTONIA-SLOVAKIA, LITHUANIA-SLOVAKIA, HUNGARY-SLOVAKIA, POLAND-SLOVAKIA. These findings show that the assumption of the market efficiency hypothesis may be in question, since the prediction of market movement can be improved if we consider the out-of-lag movements of the other markets, enabling the occurrence of arbitrage operations and some difficulties in portfolio diversification.
Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy

Recently, multilabel classification has generated considerable research interest. However, the high dimensionality of multilabel data incurs high costs; moreover, in many real applications, a number of labels of training samples are randomly missed. Thus, multilabel classification can have great complexity and ambiguity, which means some feature selection methods exhibit poor robustness and yield low prediction accuracy. To solve these issues, this article presents a novel feature selection method based on multilabel fuzzy neighborhood rough sets (MFNRS) and maximum relevance minimum redundancy (MRMR) that can be used on multilabel data with missing labels. First, to handle multilabel data with missing labels, a relation coefficient of samples, label complement matrix, and label-specific feature matrix are constructed and implemented in a linear regression model to recover missing labels. Second, the margin-based fuzzy neighborhood radius, fuzzy neighborhood similarity relationship, and fuzzy neighborhood information granule are developed. The MFNRS model is built based on multilabel neighborhood rough sets combined with fuzzy neighborhood rough sets. Based on algebra and information views, certain fuzzy neighborhood entropy-based uncertainty measures are proposed for MFNRS. The fuzzy neighborhood mutual information-based MRMR model with label correlation is improved to evaluate the performance of candidate features. Finally, a feature selection algorithm is designed to improve the performance for multilabel data with missing labels. Experiments on 20 datasets verify that our method is effective not only for recovering missing labels but also for selecting significant features with better classification performance.