Miracle-dz/UniFAR-FTUs huggingface dataset:
Language discrimination, interpersonal shame, and depressive symptoms among international students with Chinese heritage: collective self-esteem as a buffer

ABSTRACT Although perceived language discrimination (PLD) is associated with negative psychological outcomes among international students with Chinese heritage, existing research on PLD is scarce. This study aims to address this gap. Given that many Chinese cultures are characterized as shame-based, we examined whether PLD would be associated with interpersonal shame (i.e. mediator) which in turn would predict depressive symptoms. We also investigated whether collective self-esteem, a culturally relevant variable, would buffer against the negative effects of PLD on interpersonal shame and attenuate the mediation effect from PLD through interpersonal shame to depressive symptoms (i.e. moderated mediation). This cross-sectional study utilized self-report surveys and collected data from 222 international students with Chinese heritage from different regions of the U.S. The results showed that interpersonal shame mediated the association between PLD and depressive symptoms. In addition, membership collective self-esteem moderated the association between PLD and interpersonal shame. The results also indicated that the mediation effects from PLD to depression through interpersonal shame were significant at low and moderate levels but not significant at high levels of membership collective self-esteem. Findings highlight the protective role of membership collective self-esteem for those who have experienced PLD and are struggling with interpersonal shame and depressive symptoms.
Former Soviet Union Republics’ Emerging Place in International Institutions Network and Their International Trade Patterns after the Disintegration

Abstract This article investigates the role of international intergovernmental organizations (IGOs) former Soviet Union republics participated after its disintegration on their international trade patterns, particularly the consumer animosity and nostalgia dimensions toward each other and major countries in the IGOs. The results suggest that the republics were faced with a choice between EU/Western institutions and those that are led by Russia. Analysis shows that their international trade patterns reflect these alliances in the international institutions network.
Combined Humeral Head and Shaft Fractures: Outcome Following Intramedullary Nailing and Plating

Background and Objectives: Combined fractures of the humeral head and shaft (FHS) are rare but frequently involve an intermuscular fracture as its characteristic pattern. The aim of this retrospective study was to investigate intramedullary nailed and plated FHS in terms of outcomes and complications. Materials and Methods: The present study included patients with FHS, treated via either intramedullary nailing or plating within a period of 10 years, with a minimum follow-up of 12 months. Functional outcome was assessed using the age- and sex-adapted Constant–Murley Score (CMS-K). Rates of complications and revision surgeries were registered. Results: Twenty-five patients (18 females, 7 males, age 60.1 ± 14.2 years, range 23–76 years) were included in the study. Nailing was performed in 16 patients (12 females, 4 males, age 62.6 ± 12.4 years), whereas plating was executed in nine patients (6 females, 3 males, age 55.8 ± 17.0 years). Follow-up among all patients was 45.1 ± 26.3 months (range 12–97 months). CMS-K was 70.3 ± 32.3 in the nailing group, with reoperation in four cases, and 76.0 ± 31.0 in the plating group, with one reoperation (p = 0.42). Patients with no metaphyseal fragment displacement (n = 19; CMS-K 76.7 ± 17.3) demonstrated significantly better functional outcomes versus those with secondary displacement of the metaphyseal fragments (n = 6; CMS-K 60.0 ± 17.1), p = 0.046. Conclusions: Comparable acceptable clinical outcome is obtained when comparing nailing with additional open cerclage or lag-screw fixation techniques versus plating with open reduction. However, a higher revision rate was observed after nailing. The correct metaphyseal fragment fixation seems to be crucial to avoid loss of reduction and hence the need for revision surgery, as well as a worse outcome.
Alkaloid production and response to natural adverse conditions in Peganum harmala: in silico transcriptome analyses

Peganum harmala is a valuable wild plant that grows and survives under adverse conditions and produces pharmaceutical alkaloid metabolites. Using different assemblers to develop a transcriptome improves the quality of assembled transcriptome. In this study, a concrete and accurate method for detecting stress-responsive transcripts by comparing stress-related gene ontology (GO) terms and public domains was designed. An integrated transcriptome for P. harmala including 42 656 coding sequences was created by merging de novo assembled transcriptomes. Around 35 000 transcripts were annotated with more than 90% resemblance to three closely related species of Citrus, which confirmed the robustness of the assembled transcriptome; 4853 stress-responsive transcripts were identified. CYP82 involved in alkaloid biosynthesis showed a higher number of transcripts in P. harmala than in other plants, indicating its diverse alkaloid biosynthesis attributes. Transcription factors (TFs) and regulatory elements with 3887 transcripts comprised 9% of the transcriptome. Among the TFs of the integrated transcriptome, cystein2/histidine2 (C2H2) and WD40 repeat families were the most abundant. The Kyoto Encyclopedia of Genes and Genomes (KEGG) MAPK (mitogen-activated protein kinase) signaling map and the plant hormone signal transduction map showed the highest assigned genes to these pathways, suggesting their potential stress resistance. The P. harmala whole-transcriptome survey provides important resources and paves the way for functional and comparative genomic studies on this plant to discover stress-tolerance-related markers and response mechanisms in stress physiology, phytochemistry, ecology, biodiversity, and evolution. P. harmala can be a potential model for studying adverse environmental cues and metabolite biosynthesis and a major source for the production of various alkaloids.
Faktor-Faktor yang Berhubungan dengan Perilaku Pencegahan COVID-19 Pada Masyarakat Kelurahan Mekarjaya Depok

COVID-19 adalah virus baru yang muncul pada akhir 2019. Jawa Barat dengan angka kasus kejadian COVID-19 sebesar 1 juta kasus. Angka kepatuhan protokol kesehatan pada Provinsi Jawa Barat masih diangka 50%. Kota Depok dengan total kasus COVID-19 yaitu sebesar 174.734 kasus. Pada Kelurahan Mekarjaya terdapat 4.413 total kasus COVID-19. Melihat dari angka kasus yang masih cukup tinggi maka perlu untuk melakukan penelitian tentang faktor-faktor yang mempengaruhi perilaku pencegahan COVID-19 pada masyarakat. Penelitian ini menggunakan metode analitik dengan desain studi potong lintang yang menggunakan sampel sebanyak 141 masyarakat pada Kelurahan Mekarjaya Depok. Hasil didapatkan terdapat responden yang masih memiliki perilaku pencegahan COVID-19 yang kurang baik yaitu sebesar 19,9%. Responden dengan pengetahuan kurang terdapat 24,8%, dan 28,4% responden memiliki sikap negatif terhadap perilaku pencegahan COVID-19. Adanya hubungan antara pengetahuan (p-value 0,001), sikap (p-value 0,033), dukungan keluarga (p-value 0,001), dan dukungan petugas kesehatan (p-value 0,000) dengan perilaku pencegahan COVID-19.Diharapkan kepada masyarakat meningkatkan pengetahuan terkait COVID-19 dan terus harus menggunakan masker ketika beraktivitas diluar rumah, Disarankan juga untuk melakukan atau menerapkan berjemur dibawah matahari pagi, kemudian menerapkan etika batuk dan bersin. Kata Kunci : COVID-19, Pengetahuan, Pencegahan, Sikap, Dukungan
Programming Univariate and Multivariate Analysis of Variance

A formulation of analysis of variance based on a model for the subclass means is presented. The deficiency of rank in the model matrix is handled, not by restricting the parameters, but by factoring the matrix as a product of two matrices, one providing a column basis for the model and the other representing linear functions of the parameters. In terms of the column basis and a diagonal matrix of subclass or incidence numbers, a compact matrix solution is derived which provides for testing a hierarchy of hypotheses in the non-orthogonal case. Two theorems are given showing that a column basis for crossed and/or nested designs can be constructed from Kronecker products of equi-angular vectors, contrast matrices, and identity matrices. This construction can be controlled in machine computation by a symbolic representation of each degree of freedom for hypothesis in the analysis. Provision for a multivariate analysis of variance procedure for multiple response data is described. Analysis of covariance, both .
Enhancing homebound instruction: current status and potential of telepresence technology

ABSTRACT When a student is homebound from school, they miss out on beneficial classroom experiences. One way to keep homebound students connected is through the use of telepresence technology. However, the existing literature has not been systematically reviewed to address important variables related to successful implementation. The authors conducted a systematic literature review on the use of telepresence technology for homebound K–12 students prior to the Covid-19 pandemic. Twelve articles published between 1990 and 2020 were included. Research on telepresence technology in the classroom is variable regarding outcomes studied and methodologies. Anecdotal data revealed that the use of telepresence technology increased homebound students’ academic, social engagement and comfort. Implications for practitioners include feasibility of implementation of telepresence technology for students unable to physically attend classes and guidance in team structure necessary to successfully utilise telepresence. Increased funding allocated to controlled research and necessary infrastructure is essential for successful school-based implementation of telepresence technology.
ReviewDiet-induced rodent models of diabetic peripheral neuropathy

Unhealthy dietary habits are major modifiable risk factors for the development of type 2 diabetes mellitus, a metabolic disease with increasing prevalence and serious consequences. Microvascular complications of diabetes, namely diabetic peripheral neuropathy (DPN), retinopathy (DR), and nephropathy (DN), are associated with high morbidity rates and a heavy social and economic burden. Currently, available therapeutic options to counter the evolution of diabetic microvascular complications are clearly insufficient, which strongly recommends further research. Animal models are essential tools to dissect the molecular mechanisms underlying disease progression, to unravel new therapeutic targets, as well as to evaluate the efficacy of new drugs and/or novel therapeutic approaches. However, choosing the best animal model is challenging due to the large number of factors that need to be considered. This is particularly relevant for models induced by dietary modifications, which vary markedly in terms of macronutrient composition. In this article, we revisit the rodent models of diet-induced DPN, DR, and DN, critically comparing the main features of these microvascular complications in humans and the criteria for their diagnosis with the parameters that have been used in preclinical research using rodent models, considering the possible need for factors which can accelerate or aggravate these conditions.
Post bar removal results of pectus deformity patients who underwent minimally invasive correction

Introduction The most common chest wall deformities are pectus excavatum and pectus carinatum. Surgical repair of these deformities via minimally invasive technique using pectus bars is commonly preferred by numerous thoracic surgeons. Despite this common choice for treatment, the duration of the bar stay, the bar removal process, the possible complications and ways to prevent them have been debated over the years and still there is no single decision. Aim To determine the decision making, surgical outcomes and negative factors in the bar removal process. Material and methods There were 1032 patients underwent bar removal between 2006–2020 and their data was recorded prospectively. We analyzed patients’ demographics, family history, Haller index, bar count, body mass index, stabilizer and wire usage, length of hospital stay, time until bar removal, incision side and complications retrospectively. Results There was no significant correlation between BMI and surgery time (p = 0.748). There was no statistically significant correlation between the age groups and the number of pectus bars removed. The other factors showed no significant difference. The surgery time was found to be significantly longer in those with callus tissue (p = 0.002). Conclusions These findings suggest that pectus bars can be left in place for a shorter time than the standard 3-year interval without any additional recurrence risk and without compromising quality of life. As a result, patients with persistent pain after pectus repair should be well evaluated for the possibility of life-threatening complications during bar removal.
Model selection in the average of inconsistent data: an analysis of the measured Planck-constant values

When the data do not conform to the hypothesis of a known sampling variance, the fitting of a constant to a set of measured values is a long debated problem. Given the data, fitting would require one to find what measurand value is the most trustworthy. Bayesian inference is reviewed here, to assign probabilities to the possible measurand values. Different hypotheses about the data variance are tested by Bayesian model comparison. Eventually, model selection is exemplified in deriving an estimate of the Planck constant.
A Metaverse-Based Teaching Building Evacuation Training System With Deep Reinforcement Learning

With the development of IoT, virtual reality, cloud computing, and digital twin technologies, the advent of metaverse has attracted increasing world attention. Metaverse integrates and applies multiple emerging technologies to cloud education, smart health, digital government, and emergency evacuation. Evacuation systems are of great importance to ensure life safety. Due to panic, people in a building may not be able to make the right judgment to choose an optimal path to leave the building in case of an emergency event such as a fire. As a branch of machine learning, deep reinforcement learning (DRL) can model an evacuation scene, collect real-time information, such as crowd distribution and disaster location, find the optimal escape path with a path-planning algorithm, induce the movement state of the crowd through dynamic guidance signs, and improve the evacuation efficiency. In this article, we apply DRL technology to solve the efficient emergency evacuation problem with the help of metaverse and show a training system built upon metaverse that would enable evacuees to choose the most efficient route and leave the building in the least amount of time. The information collected by various sensors, such as video cameras and smoke detectors, can give a whole picture of the status of the building in a real-time manner. The collected data are processed by cloud servers in which a DRL model is trained to dynamically guide evacuees. Experiments in different simulation scenes demonstrate that the proposed method is superior to the traditional static guidance method in saving evacuation time. It can effectively avoid major crowding along the evacuation route and improve evacuation efficiency.
Optimization against instability in the large

The combination of geometrically nonlinear analysis with structural optimization against instability opens many possibilities for new formulations of the optimization problem. One of them is optimization against instability in the large. When a critical state does not exist and instability occurs at finite displacements either the lower critical loading is maximized or the generalized displacement for that load is minimized. This paper undertakes these new optimization problems providing formulations and numerical solutions for selected elements. The simple finite dimensional model is analysed first showing characteristic features of the problem, and then a real elastic element is optimized.
Very long wavelength infrared detection with p-on-n LPE HgCdTe

Developments made last years at CEA-LETI on p-on-n planar HgCdTe (MCT) photodiodes technology on long-, midand short-wavelength led to the manufacture of focal plane arrays (FPA) demonstrators with high performances. This technology has been successfully transferred to SOFRADIR for industrial production. Improvements have been done on both technology and process to index very long-wavelength spectral band. MCT base layer has been grown by liquid phase epitaxy (LPE) on lattice matched CdZnTe. The n-type doping is achieved during epitaxy by Indium incorporation, as In is naturally active as a donor in MCT. Planar p-on-n photodiodes were manufactured by Arsenic doping. As incorporation is achieved by ion-implantation and activation is done by post-implantation annealing under Hg overpressure. Multiples process settings were tested to find optimized conditions in order to obtain the best detector performances. Cutoff wavelength increase from LWIR at 9.2 μm at 77K was done in two steps, by adjusting technology process to get firstly 12.3 μm cutoff and then 15 μm at 77K. The second step was funded by french National Space Studies Center (CNES) to evaluate p-on-n IRFPAs performances for very long-wavelength detection for space applications such as IASI-NG. Electro-optical characterizations were performed both on test arrays and FPAs. Results show excellent operabilities (over 99.9% with ±0.5×mean value criterion) in responsivity and NETD, and current shot noise limited photodetectors. R0A figure of merit is very high and at the state of the art.
The clustering of knowledge-intensive business services in Greater Mexico City, 2010 through 2020

Abstract This article analyzes knowledge-intensive business services (KIBS) clustering and location patterns in Greater Mexico City. Although there is evidence of the importance of KIBS clustering as a factor that precedes innovation, no empirical work has applied point pattern analysis methods to identify intrametropolitan patterns. Little is known about KIBS firms clustering in Mexico and emerging economies in general. This study responds to both challenges, using the M and m functions, point pattern analysis methods that allow capturing concentration intensity and overdensity of same-type KIBS firms, respectively. Firm-level data are taken from Mexico’s National Statistics and Geography Institute’s (INEGI) open-source databases for 2010 and 2020. Results suggest different clustering patterns given our proposed KIBS classification. Overall, the clustering intensity of KIBS firms by class has increased during the analyzed period (2010–2020). Also, although central Greater Mexico City is the main clustering pole of attraction, urban subcenters display KIBS firms clustering depending on proposed KIBS classes. Clustering patterns are explained given existing intrametropolitan infrastructure and value-added differences, but also within- and between-class concentration variations. Despite the lack of firm-level economic data, results allow inferring possible agglomeration mechanisms behind clustering patterns.
Effect of osmium substitution on structural, electronic, mechanical, and thermodynamic properties of W–Os alloys: A first-principles study

In this paper, four W–Os alloys are designed, namely W_0. 9375Os_0. 0625, W_0. 875Os_0. 125, W_0. 8125Os_0. 1875, and W_0. 75Os_0. 25 alloys. Based on the analysis of the formation enthalpy and phonon spectrum, the W_0. 8125Os_0. 1875 and W_0. 75Os_0. 25 alloys are thermodynamically unstable. Therefore, this paper only studies the mechanical and thermodynamic properties of pure W, W_0. 9375Os_0. 0625, and W_0. 875Os_0. 125 alloys. The results show that W_0. 9375Os_0. 0625 and W_0. 875Os_0. 125 alloys still keep the cubic crystal system, and the lattice constants of pure W are reduced by doping Os. Based on the mechanical parameter analysis, the doping of Os reduces the stiffness of pure tungsten, but improves its strength. The B / G ratios of W_0. 9375Os_0. 0625 and W_0. 875Os_0. 125 alloys are higher than that of pure W, which indicates that Os doping can increase the ductility of pure tungsten. The W_0. 875Os_0. 125 alloy has anisotropic characteristics. However, the W_0. 9375Os_0. 0625 alloy has isotropic characteristics, which also shows that Os doping can improve the anisotropy of pure tungsten. Graphical abstract
Comparison of Different Commercial Wireless Keypad Systems

Wireless keypad systems have been in limited use for the past 10 years in the classroom.1,2 Such systems can be used to quiz students in real time during the class, thus engaging students more directly in the lecture.3 Nonetheless, until recently widespread use of such keypad systems has been limited for several reasons. First, the original systems were relatively expensive but perhaps more important was the reluctance on the part of faculty to change the existing passive lecture format.4,5 However, problems associated with large lecture classes6 and the validation of the concept of “interactive engagement” from the high-statistics study of Hake7 has changed the opinions of many. In addition the desirability of peer learning,8 which is enhanced with a response system, has also been accepted. At the present time a number of commercial systems are available. The purpose of this paper is to present a comparison and summary of what is commercially available9 and a reminder that keypads are a dramatically effective teaching and learning tool.
Intraseasonal oscillations of the Silk Road pattern lead to predictability in East Asian precipitation patterns and the Mei Yu front

The Silk Road pattern (SRP) is analysed on intraseasonal timescales over summer using empirical orthogonal functions (EOFs) of the meridional wind at 200 hPa. The first two principal components explain almost equal amounts of variance, hence both are required to represent the intraseasonal SRP. The associated spatial loadings are 90° out of phase with each other, providing evidence that propagating oscillations are a natural mode of variability of the intraseasonal SRP. This is supported by Hovmöller diagrams of the meridional wind at 200 hPa and by phase diagrams of the first two EOFs, which both show a predominantly eastward-propagating oscillation. The oscillations are identified as plausibly being Rossby waves by means of waveguide theory. The subtropical westerly jet and East Asian rainfall patterns are found to be dependent on the phase of the oscillation: wet anomalies occur to the east of troughs in the jet, which are also regions where local jet entrances cause upper-level divergence via an ageostrophic circulation. Dry anomalies occur to the west of troughs, which are regions of upper-level convergence. The time-delayed location of the summer Mei Yu front relative to its climatology is dependent on the phase of the oscillation: when there is an upper-level trough located over the Korean Peninsula, the Mei Yu front is likely to be located further north than normal 3–8 days later, before returning to its climatological position. This suggests that the phase of the intraseasonal SRP acts as a potential source of predictability of the location of the Mei Yu front, which might allow for better prediction of the associated rains.