Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty

Background Reverse total shoulder arthroplasty (rTSA) offers tremendous promise for the treatment of complex pathologies beyond the scope of anatomic total shoulder arthroplasty but is associated with a higher rate of major postoperative complications. We aimed to design and validate a machine learning (ML) model to predict major postoperative complications or readmission following rTSA. Methods We retrospectively reviewed California's Office of Statewide Health Planning and Development database for patients who underwent rTSA between 2015 and 2017. We implemented logistic regression (LR), extreme gradient boosting (XGBoost), gradient boosting machines, adaptive boosting, and random forest classifiers in Python and trained these models using 64 binary, continuous, and discrete variables to predict the occurrence of at least one major postoperative complication or readmission following primary rTSA. Models were validated using the standard metrics of area under the receiver operating characteristic (AUROC) curve, area under the precision–recall curve (AUPRC), and Brier scores. The key factors for the top-performing model were determined. Results Of 2799 rTSAs performed during the study period, 152 patients (5%) had at least 1 major postoperative complication or 30-day readmission. XGBoost had the highest AUROC and AUPRC of 0.681 and 0.129, respectively. The key predictive features in this model were patients with a history of implant complications, protein-calorie malnutrition, and a higher number of comorbidities. Conclusion Our study reports an ML model for the prediction of major complications or 30-day readmission following rTSA. XGBoost outperformed traditional LR models and also identified key predictive features of complications and readmission.
Different Explanations for the Cosmic Microwave Background Radiation

In this research, the other reasonable explanations for the cosmic microwave background radiation is revealed. Due to the microwave resolution, it very roughly shows the image of galaxies in the universe. Moreover, the intensity measurement on each pixel of the image is the sum of the incident microwaves from different directions, so the microwave image cannot represent the microwave sources clearly far away from the Earth. Hence, we propose a simulation after removing several strongest microwave sources, the remaining microwave radiation sources can establish a very uniform intensity distribution over a range of several ten light years. On the other hand, Sloan Digital Sky Survey reveals 200 million galaxies in the universe and, in fact, only to eliminate the contributions of all galaxies from the microwave image is impossible. The way to further obtain the fine-scale structure by only removing the few strongest microwave sources as the foreground effect will keep the other contributions from all the rest galaxies and stars. Therefore, the Cosmic Microwave Background cannot be uniquely explained the radiation which was left after the initial formation of the universe. Moreover, it is the mainly residual radiation from the un-calculated galaxies and inaccurate estimation of the microwave source strength.
Modelling the potential distribution and habitat suitability of the alien fungus Clathrus archeri in Romania

Clathrus archeri is a saprophytic fungus native to the southern hemisphere which was introduced in Europe in the early twentieth century. Although it is naturalized in most regions of Central Europe, in Romania it is considered rather a rare species because it has been identified in only a few localities. Because of the rapid expansion of its range throughout Europe some authors assign this species an invasive potential. The objective of the paper was to identify both the potential distribution area and the potential suitable habitats for expansion in Romania and to highlight the environmental variables driving the probability of its occurrence. The maximum entropy model approach implemented in Maxent was used to model the species? potential distribution. The results highlighted altitude, snow cover length, the mean temperature of the driest quarter, and precipitation in the coldest quarter as the most important predictors of species? potential distribution in Romania. The map of the predicted distribution showed that the highest probability of occurrence for this species is in the mountainous and adjacent areas, while the map of habitat suitability confirmed that the best environmental conditions are in the Carpathians, while the most unfavourable are in the south-eastern regions of the country.
Learning for a Summative Assessment: The Relationship between Students’ Academic Achievement and Self-Regulated Learning

Recent studies show that students applying appropriate self-regulated learning strategies (SRL) are more successful in their academic achievements (AA). However, the relation between SRL and AA is complex. There is evidence that not all SRL strategies contribute equally to AA. A greater understanding of the relationship between students’ SRL strategies and AA can help indicate differences between students. Interviews were conducted to study the relationship between the SRL strategies students use when learning for an achievement test and the resulting AA. Two main aspects that influence this relationship were identified: students’ goal approach, and with this approach, the amount of effort they put into learning, and the deliberateness of using SRL strategies. These aspects address the complex relationship between SRL and AA. From these results we present different student types, based on these aspects found. Suggestions for future research are done to utilise and further explore these student types.
Pemanfaatan Aplikasi Canva untuk Desain Grafis dan Promosi Produk pada Sekolah Islami berbasis Kewirausahaan

Pesatnya dunia digital saat ini, tentunya sangat berimbas pada segala bidang kehidupan masyarakat, contohnya saja dalam bidang pendidikan dan bisnis. Semua hal yang tadinya dilakukan secara offline kini berubah menjadi online, begitu juga kompetensi yang harus dimiliki oleh seorang guru dalam memberikan pembelajaran pada siswa di kelas. Roudlotul Banat sebagai sekolah islami berbasis kewirausahaan sangat menyadari bahwa peningkatan ketrampilan guru dalam hal desain grafis dan promosi produk dengan menggunakan aplikasi yang sedang trend saat ini sangatlah penting. Oleh sebab itu, pada kegiatan Pengabdian Masyarakat ini akan dilakukan pelatihan yang bertajuk Pemanfataan Aplikasi Canva untuk Desain Grafis dan Promosi Produk Pada Sekolah Islami Berbasis Kewirausahaan. Hasil dari kegiatan ini adalah evaluasi pelatihan dalam penggunaan aplikasi desain online Canva, yang akan disebar melalui kuesioner kepada para guru peserta pelatihan. Hasil kuesioner menyebutkan bahwa pelatihan ini dapat menambah wawasan baru dan meningkatkan ketrampilan/kreativitas dalam mengembangkan materi pembelajaran di kelas.
An ensemble model of convolution and recurrent neural network for skin disease classification

Skin cancer is one of the rapidly growing diseases in the world. Especially, millions of cases are reported every year by all types of skin cancer in America. Early detection of skin cancer using dermoscopy, the light source, and the magnification device are used to inspect the skin lesions. A dermatologist observed hypodermic structures are normally invisible. However, accurate and effective skin disease classification by humans is not straightforward and requires a long time of practice. Furthermore, it is often inaccurate and difficult to reproduce, being unable to completely use the long‐term dependence connection between specific image key features and image labels even for experienced dermatologists. Therefore, it needs to develop a computer‐aided diagnostic system for reliable skin cancer diagnosis. Classical methods focus on designing and combining hand‐craft features from input data and face vanishing or exploding of loss gradient problem, whereas the bidirectional long short term memory (BLSTM) network does not need any prior knowledge or pre‐designing, and it is an expert in keeping the associated information in both directions. Thus, to improve the classification performance for handling these problems, we proposed a hybrid classification method based on the deep convolutional neural network and stacked BLSTM network. Firstly, deep features are extracted from input skin disease facial images. Next, the sequential features among input data are learned using a dual BLSTM network, where dual BLSTM through max‐pooling, the forward and backward long short term memory (LSTM) hidden states of both the feature matrix and its transpose concatenates for inputting into a dense, fully connected (FC) layer. Finally, the softmax function is used to classify skin disease images. To improve the generalization capability, we evaluate our method on two skin disease image datasets and compare their local image descriptors. The proposed method achieved the best mean accuracy of 91.73%, which shows significant improvements in skin disease classification compared with state‐of‐the‐art skin disease classification methods.
Reductions in Hydrogen Sulfide Precede Onset of Mitochondrial Quality Control in the Corneal Kindled Mouse Model of Epilepsy

Epilepsy is a heterogenous neurological disorder characterized by recurrent unprovoked seizures, mitochondrial stress, and neurodegeneration. Hydrogen sulfide (H2S), a gasotransmitter, promotes mitochondrial function and biogenesis, elicits neuromodulation and neuroprotection, and may acutely suppress seizures. A major gap in knowledge remains in understanding the role of mitochondrial dysfunction and progressive changes in H2S levels following acute seizures and during epileptogenesis. We thus sought to quantify changes in H2S and its methylated metabolite (MeSH) via LC-MS/MS subsequent to acute maximal electroshock and 6 Hz 44 mA seizures in mice, as well as in the corneal kindled mouse model of chronic seizures. Plasma H2S was acutely reduced after a maximal electroshock seizure. H2S or MeSH levels in whole brain homogenate and expression of related genes in corneal kindled mice were not altered. However, plasma H2S and MeSH levels were significantly lower during kindling, but not after established kindling. Morever, we demonstrated a time-dependent increase in expression of mitochondrial membrane integrity-related proteins, Opa1, Mfn2, Drp1, and Mff during kindling, which did not correlate with gene expression. Taken together, short-term reductions in plasma H2S could be a novel biomarker for seizures. Future studies should further define the role of H2S and mitochondrial stress in epilepsy.
Investigating the Role of Leukocyte Telomere Length in Treatment-Resistant Depression and in Response to Electroconvulsive Therapy

Psychiatric disorders seem to be characterized by premature cell senescence. However, controversial results have also been reported. In addition, the relationship between accelerated aging and treatment-resistance has scarcely been investigated. In the current study, we measured leukocyte telomere length (LTL) in 148 patients with treatment-resistant depression (TRD, 125 with major depressive disorder, MDD, and 23 with bipolar disorder, BD) treated with electroconvulsive therapy (ECT) and analyzed whether LTL was associated with different response profiles. We also compared LTL between patients with TRD and 335 non-psychiatric controls. For 107 patients for which genome-wide association data were available, we evaluated whether a significant overlap among genetic variants or genes associated with LTL and with response to ECT could be observed. LTL was negatively correlated with age (Spearman’s correlation coefficient = −0.25, p < 0.0001) and significantly shorter in patients with treatment-resistant MDD (Quade’s F = 35.18, p < 0.0001) or BD (Quade’s F = 20.84, p < 0.0001) compared to controls. Conversely, baseline LTL was not associated with response to ECT or remission. We did not detect any significant overlap between genetic variants or genes associated with LTL and response to ECT. Our results support previous findings suggesting premature cell senescence in patients with severe psychiatric disorders and suggest that LTL could not be a predictive biomarker of response to ECT.
Fabrication of β-phase poly (vinylidene fluoride) piezoelectric film by electrospinning for nanogenerator preparations

Electrospun poly (vinylidene fluoride) (PVdF) has been recognized as a potential candidate for making nano-generators in a broad range of applications. Through electrospinning, PVdF fiber films can be fabricated while enhancing the β-phase content within it. The electrospinning process was carried out with optimal parameters to obtain uniform and well-aligned fibers. The morphology of the PVdF fiber film, observed by Scanning Electron Microscopy (SEM), showed uniform, smooth and consistent fiber formation without beads, and the fiber diameters were in the range of 700 1000 nm. The crystalline phase of the PVdF was characterized by analyzing the X-ray Diffraction (XRD) pattern and Fourier-Transform Infrared (FTIR) spectrum. The β-phase content of the electrospun film was 80.1%, while that of the solvent cast PVdF film was 64.4%. This result shows that electrospinning has increased the percentage of the β-phase in the film. The force applied and the output voltage of the constructed nano-generator detected are linearly correlated within the measurement window. The maximum voltage generated was about 1.0 V with finger tapping and 1.3 V with a custom-designed tapping machine. Improvements to this PVdF piezoelectric nanogenerator can be used in many potential applications in several fields, especially as energy harvesters, biomedical applications and sensors.
Isomorphisms of some algebras of analytic functions of bounded type on Banach spaces

The theory of analytic functions is an important section of nonlinear functional analysis.In many modern investigations topological algebras of analytic functions and spectra of suchalgebras are studied. In this work we investigate the properties of the topological algebras of entire functions,generated by countable sets of homogeneous polynomials on complex Banach spaces. Let $X$ and $Y$ be complex Banach spaces. Let $\mathbb{A}= \{A_1, A_2, \ldots, A_n, \ldots\}$ and $\mathbb{P}=\{P_1, P_2,$ \ldots, $P_n, \ldots \}$ be sequences of continuous algebraically independent homogeneous polynomials on spaces $X$ and $Y$, respectively, such that $\|A_n\|_1=\|P_n\|_1=1$ and $\deg A_n=\deg P_n=n,$ $n\in \mathbb{N}. $ We consider the subalgebras $H_{b\mathbb{A}}(X)$ and $H_{b\mathbb{P}}(Y)$ of the Fr\'{e}chet algebras $H_b(X)$ and $H_b(Y)$ of entire functions of bounded type, generated by the sets $\mathbb{A}$ and $\mathbb{P}$, respectively. It is easy to see that $H_{b\mathbb{A}}(X)$ and $H_{b\mathbb{P}}(Y)$ are the Fr\'{e}chet algebras as well. In this paper we investigate conditions of isomorphism of the topological algebras $H_{b\mathbb{A}}(X)$ and $H_{b\mathbb{P}}(Y). $ We also present some applications for algebras of symmetric analytic functions of bounded type. In particular, we consider the subalgebra $H_{bs}(L_{\infty})$ of entire functions of bounded type on $L_{\infty}[0,1]$ which are symmetric, i.e. invariant with respect to measurable bijections of $[0,1]$ that preserve the measure. We prove that$H_{bs}(L_{\infty})$ is isomorphic to the algebra of all entire functions of bounded type, generated by countable set of homogeneous polynomials on complex Banach space $\ell_{\infty}. $
Why do Generative Learning Strategy Improve Memory in VR? — Based on ICALM

Generative learning strategies interconnect with cognition and emotion. Based on one-factorial experimental design, 75 participants were randomly assigned to study a chemical Virtual Reality (VR) lesson in one of three conditions: VR, VR+ summarizing, and VR+ self-testing. An emWave system was used to record the learners’ emotional state during learning. The learners’ learning outcomes were measured with retention tests, learning experiences were measured with instruments. The results showed that compared to the students were given a VR lesson without generative learning strategy, 1) the students who engaged in generative self-testing strategy during learning displayed more positive emotions in the cognition process, more positive ratings after learning, and higher memory test scores; 2) the students who engaged in generative summary strategy during learning showed more positive emotions in the cognition process, but lower immediate memory scores. These findings give new evidence to explaining how generative summarizing and self-testing learning strategies affect learning based VR.
L- Arginine Supplementation Protections Sodium Fluoride-Induced Nephrotoxicity And Hypertension By Suppressing Mineralocorticoid Receptor and Angiotensin Converting Enzyme Activity

Sodium fluoride (NaF) is one of the neglected environmental toxicants that has continued to silently cause toxicity to both humans and animals. NaF is universally present in water, soil and the atmosphere. The persistent and alarming rate of increase in cardiovascular and renal diseases and disorders caused by chemicals such as sodium fluoride (NaF) in mammalian tissues have led to the use of various drugs for the treatment of these diseases. This study aims at evaluating the renoprotective and antihypertensive effects of L- Arginine on NaF-induced nephrotoxicity. Thirty male Wistar rats (150 – 180 g) were used in this study. The rats were randomly divided into five groups of six rats each as Control, NaF (300 ppm), NaF + L- Arginine (100 mg/kg), NaF + L- Arginine (200 mg/kg), and NaF + Lisinopril (10 mg/kg), respectively; orally for eight days. Histopathological examination and immunohistochemistry of renal angiotensin converting enzyme (ACE) and mineralocorticoid receptor (MCR) were performed. Markers of renal damage, oxidative stress, antioxidant defence system, and blood pressure parameters were determined. L- Arginine significantly (p <0.05) ameliorated the hypertensive effects of NaF. The systolic, diastolic and mean arterial blood pressure of the treated groups were significantly (p< 0.05) reduced compared with the hypertensive group. This finding was concurrent with significantly increased serum bioavailability of nitric oxide in the hypertensive treated groups. Also, there was significant reduction in the level of blood urea nitrogen (BUN) and creatinine in the serum of the hypertensive rats treated with L- arginine. There was significant (p<0.05) reduction in markers of oxidative stress such as hydrogen peroxide (H2O2), malondialdehyde (MDA) and protein carbonyl (PCO) and concurrent increase in the levels of antioxidant enzymes in the kidney of hypertensive rats treated with L arginine. The results of this study suggest that L- Arginine normalized high blood pressure, reduced oxidative stress, reduced the expression of renal ACE and MCR, and improved nitric oxide production. Thus, L- Arginine holds promise as a potential therapy against hypertension and renal damage.
Neighborhood-Based Social Capital and Depressive Symptoms among Adults: Evidence from Guangzhou, China

This study examined the association between neighborhood-based social capital (NSC) and depressive symptoms in the context of urban neighborhoods in China, with special attention given to the association heterogeneity across socioeconomic groups. Drawing on cross-sectional data collected from 39 neighborhoods in Guangzhou, this research demonstrated that adults’ depressive symptoms were higher among those with lower cognitive (trustworthiness, reciprocity, and cohesion within a neighborhood) and structural (social network and participation) dimensions of NSC. Further analysis showed that the negative association between NSC and depressive symptoms was significantly heterogeneous across socioeconomic groups. Specifically, this negative relationship was more prominent in the lower socioeconomic classes than in the upper socioeconomic classes, indicating that the lower accumulation of NSC among disadvantaged groups may aggravate depression unequally across social classes. In addition, the negative association between social participation and depressive symptoms was stronger for people who are older or unemployed. The findings of this study not only provide new evidence concerning the significance of the beneficial effects of NSC in the Chinese context, but also, more importantly, highlight that NSC plays a crucial role in creating mental health inequality across social classes. Thus, the relevant social interventions including fostering neighborhood relationships and social activities should be carefully tailored against the backdrop of community building during the urbanization process. The implications of our study for urban governance to promote healthy cities are discussed.
Extracellular Matrix Hydrogels Originated from Different Organs Mediate Tissue-Specific Properties and Function

Porcine extracellular matrix (pECM)-derived hydrogels were introduced, in recent years, aiming to benefit the pECM’s microstructure and bioactivity, while controlling the biomaterial’s physical and mechanical properties. The use of pECM from different tissues, however, offers tissue-specific features that can better serve different applications. In this study, pECM hydrogels derived from cardiac, artery, pancreas, and adipose tissues were compared in terms of composition, structure, and mechanical properties. While major similarities were demonstrated between all the pECM hydrogels, their distinctive attributes were also identified, and their substantial effects on cell-ECM interactions were revealed. Furthermore, through comprehensive protein and gene expression analyses, we show, for the first time, that each pECM hydrogel supports the spontaneous differentiation of induced pluripotent stem cells towards the resident cells of its origin tissue. These findings imply that the origin of ECM should be carefully considered when designing a biomedical platform, to achieve a maximal bioactive impact.
Blockchain technology and its applications in agriculture and supply chain management: a retrospective overview and analysis

ABSTRACT The paper undertakes a bibliometric study to analyse and identify emerging themes for future research in blockchain technology, focusing on agriculture and supply chain management domains. A sample of 1322 articles from Web of Science for 2015–2020 is the basis of the study. The publications are grouped into five clusters, of which Cluster 1 is consistently dominant in the Information Systems publication landscape. Clusters 2, 3, and 4 are evolving, and topics with scant coverage are primarily in Cluster 5, indicating saturation in the area of interdisciplinary studies. The results provide valuable insights for potential contributors and global audiences.