Miracle-dz/UniFAR-FTUs huggingface dataset:
Cataract-Causing S93R Mutant Destabilized Structural Conformation of βB1 Crystallin Linking With Aggregates Formation and Cellular Viability

Cataract, opacity of the eye lens, is the leading cause of visual impairment worldwide. The crucial pathogenic factors that cause cataract are misfolding and aggregation of crystallin protein. βB1‐crystallin, which is the most abundant water‐soluble protein in mammalian lens, is essential for lens transparency. A previous study identified the missense mutation βB1‐S93R being responsible for congenital cataract. However, the exact pathogenic mechanism causing cataract remains unclear. The S93 residue, which is located at the first Greek‐key motif of βB1‐crystallin, is highly conserved, and its substitution to Arginine severely impaired hydrogen bonds and structural conformation, which were evaluated via Molecular Dynamic Simulation. The βB1‐S93R was also found to be prone to aggregation in both human cell lines and Escherichia coli. Then, we isolated the βB1‐S93R variant from inclusion bodies by protein renaturation. The βB1-S93R mutation exposed more hydrophobic residues, and the looser structural mutation was prone to aggregation. Furthermore, the S93R mutation reduced the structural stability of βB1-crystallin when incubated at physiological temperature and made it more sensitive to environmental stress, such as UV irradiation or oxidative stress. We also constructed a βB1-S93R cellular model and discovered that βB1-S93R was more sensitive to environmental stress, causing not only aggregate formation but also cellular apoptosis and impaired cellular viability. All of the results indicated that lower solubility and structural stability, sensitivity to environmental stress, vulnerability to aggregation, and impaired cellular viability of βB1-S93R might be involved in cataract development.
Simple CMA Beamforming for Multiple Sources and Direction Finding

Blind adaptive beamforming is an elementary problem in the area of spatial signal processing.The constant modulus (CM) array is blind adaptive beamformer capable of recovering a CM signal among several cochannel sources by using constant modulus algorithm (CMA). By adding an adaptive signal canceller to the CM beamformer,identical stages of the CM array and signal canceller may be used in a multistage system to recover several cochannel CM sources.However,the implementation of the multistage CM array is complicated.In this paper,we will provide a simple multistage CM array to recover several cochannel signals based on least square CMA (LS-CMA). After the LS-CMA captures one signal,the DOA of the other signals could be attained from the weight vector of the algorithm,which is used for multi-source beamforming.The parallel and serial implementations for the algorithm are presented.Computer simulations show that the results of the new algorithm are close to those of Wiener's,which confirms the effectiveness of this new approach.
Late Holocene Orbital Forcing and Solar Activity on the Kuroshio Current of Subtropical North Pacific at Different Timescales

The North Pacific subtropical gyre (NPSTG) redistributes heat and moisture between low and high latitudes and plays a key role in modulating the global climate change and ecosystem. Recent evidence suggests intensification and poleward shift of the subtropical gyres over the last decades due to global warming, but insufficient observations have hampered insight into the integrated effects of ocean-atmosphere interactions at longer timescales. Here we present the first high-resolution (∼12 years) grain-size record from Core CF1 in the Okinawa Trough, western subtropical North Pacific, to reconstruct the evolution of the western boundary Kuroshio Current (KC) of NPSTG during the Late Holocene. Our results indicate the KC slow-down during 4.6–2.0 ka, followed by quick enhancement after 2.0 ka, with centennial-scale variabilities (500–700 years) superimposed on the long-term trend. Over millennial timescales, gradually increased pole-to-equator thermal gradient, due to orbital forcing mechanisms, resulted in long-term enhanced KC, whereas solar activity triggered phase changes in the tropical Pacific mean state and controlled KC anomalies on centennial timescales. We suggest that both forcing mechanisms resulted in ocean-atmosphere feedback provoking concurrent changes in mid-latitude westerly and subtropical easterly winds over the North Pacific, alternating their dominance as source regions causing the dynamic changes of KC at different timescales. Our findings offer insight into the role of external forcing mechanisms in the NPSTG changes before the Anthropocene, which have profound implications for the deeper understanding of changes in ocean gyres under global warming scenarios.
How Does the Implicit Awareness of Consumers Influence the Effectiveness of Public Service Announcements? A Functional Near-Infrared Spectroscopy Study

A large number of scholars have conducted detailed studies on the effectiveness of commercial advertising by using neuroimaging methods, but only a few scholars have used this method to study the effectiveness of public service announcements (PSAs). To research the relationship between the effectiveness of PSAs and the audience’s implicit awareness, functional near-infrared spectroscopy (fNIRS) was employed to record the neural activity data of participants in this study. The results showed that there was a correlation between activation of dorsolateral prefrontal cortex (dlPFC) and the effectiveness of PSAs; The activation of the dlPFC could also be used as an indicator to represent the appeal of advertising content. The results means that neuroimaging tool can also be used to investigate the effectiveness of PSAs, not just commercial advertisements and a few PSAs study, and that neural activity can predict and improve the effectiveness of PSAs before they are released.
Knowledge Graphs for Indication Expansion: An Explainable Target-Disease Prediction Method

Indication expansion aims to find new indications for existing targets in order to accelerate the process of launching a new drug for a disease on the market. The rapid increase in data types and data sources for computational drug discovery has fostered the use of semantic knowledge graphs (KGs) for indication expansion through target centric approaches, or in other words, target repositioning. Previously, we developed a novel method to construct a KG for indication expansion studies, with the aim of finding and justifying alternative indications for a target gene of interest. In contrast to other KGs, ours combines human-curated full-text literature and gene expression data from biomedical databases to encode relationships between genes, diseases, and tissues. Here, we assessed the suitability of our KG for explainable target-disease link prediction using a glass-box approach. To evaluate the predictive power of our KG, we applied shortest path with tissue information- and embedding-based prediction methods to a graph constructed with information published before or during 2010. We also obtained random baselines by applying the shortest path predictive methods to KGs with randomly shuffled node labels. Then, we evaluated the accuracy of the top predictions using gene-disease links reported after 2010. In addition, we investigated the contribution of the KG’s tissue expression entity to the prediction performance. Our experiments showed that shortest path-based methods significantly outperform the random baselines and embedding-based methods outperform the shortest path predictions. Importantly, removing the tissue expression entity from the KG severely impacts the quality of the predictions, especially those produced by the embedding approaches. Finally, since the interpretability of the predictions is crucial in indication expansion, we highlight the advantages of our glass-box model through the examination of example candidate target-disease predictions.
Machine Learning and Deep Learning Applications in Metagenomic Taxonomy and Functional Annotation

Shotgun sequencing of environmental DNA (i.e., metagenomics) has revolutionized the field of environmental microbiology, allowing the characterization of all microorganisms in a sequencing experiment. To identify the microbes in terms of taxonomy and biological activity, the sequenced reads must necessarily be aligned on known microbial genomes/genes. However, current alignment methods are limited in terms of speed and can produce a significant number of false positives when detecting bacterial species or false negatives in specific cases (virus, plasmids, and gene detection). Moreover, recent advances in metagenomics have enabled the reconstruction of new genomes using de novo binning strategies, but these genomes, not yet fully characterized, are not used in classic approaches, whereas machine and deep learning methods can use them as models. In this article, we attempted to review the different methods and their efficiency to improve the annotation of metagenomic sequences. Deep learning models have reached the performance of the widely used k-mer alignment-based tools, with better accuracy in certain cases; however, they still must demonstrate their robustness across the variety of environmental samples and across the rapid expansion of accessible genomes in databases.
Trends and Outcomes of Hypothermic Machine Perfusion Preservation of Kidney Allografts in Simultaneous Liver and Kidney Transplantation in the United States

Graphical Abstract Optimal kidney graft outcomes after simultaneous liver-kidney (SLK) transplant may be threatened by the increased cold ischemia time and hemodynamic perturbations of dual organ transplantation. Hypothermic machine perfusion (MP) of kidney allografts may mitigate these effects. We analyzed U.S. trends and renal outcomes of hypothermic non-oxygenated MP vs. static cold storage (CS) of kidney grafts from 6,689 SLK transplants performed between 2005 and 2020 using the United Network for Organ Sharing database. Outcomes included delayed graft function (DGF), primary non-function (PNF), and kidney graft survival (GS). Overall, 17.2% of kidney allografts were placed on MP. Kidney cold ischemia time was longer in the MP group (median 12.8 vs. 10.0 h; p < 0.001). Nationally, MP utilization in SLK increased from <3% in 2005 to >25% by 2019. Center preference was the primary determinant of whether a graft underwent MP vs. CS (intraclass correlation coefficient 65.0%). MP reduced DGF (adjusted OR 0.74; p = 0.008), but not PNF (p = 0.637). Improved GS with MP was only observed with Kidney Donor Profile Index <20% (HR 0.71; p = 0.030). Kidney MP has increased significantly in SLK in the U.S. in a heterogeneous manner and with variable short-term benefits. Additional studies are needed to determine the ideal utilization for MP in SLK.
Performance Effects of High Performance Work Systems on Committed, Long-Term Employees: A Multilevel Study

Even though effects of High Performance Work Systems (HPWS) on employee performance have been widely investigated, there is no consensus on how this link is achieved. Drawing on Social Exchange Theory (SET), this paper attempts to shed more light in this relationship by investigating the mediating role of affective, normative, and continuance commitment in the relationship between HPWS and employee performance. Moreover, the potential moderating role of employee tenure on the HPWS—organizational commitment link is examined. Using data from 342 subordinates and 115 supervisors from 111 service organizations in Greece, our multilevel analysis shows that affective commitment fully mediates the relationship between HPWS and employee performance. In addition, employee tenure positively moderates the relationships between HPWS and affective and normative commitment. The paper discusses theoretical implications and provides recommendations for practitioners.
Design, data mining and analysis of hyperactive environments

As the Internet and the World Wide Web continue to grow, new and emerging capabilities have made it possible to design and utilize concepts that were never before imaginable in such an environment. With these new capabilities, the use of the World Wide Web has become applicable in several fields including education. In this thesis, we present a framework for designing and analyzing web-based, hyperactive learning environments. The proposed present preliminary requirements to assess the utility of hyperactive environments for the particular application, design techniques for the creation of these hyperactive environments using the latest web technologies, and analytical tests and evaluations for scrutinizing the adequacy and performance of such environments in a learning setting. The model developed was then used in the design, development, and testing of several hyperactive environments. The conclusions of our studies indicate that: 1. Student performance is the same through the use of a web-based environment as it is through the use of an actual lab environment. 2. Students'performance is independent of past exposure to the material of a simulation, year in school, or preference for a lab environment. 3. A majority of students prefer the use of the hyperactive environment on the grounds of flexibility, ease of use, and ease of operation. 4. Students strongly agree that the hyperactive environment is suitable for achieving its predefined learning objectives. 5. Students strongly agree that the hyperactive environment performs well at the interfacial level making it easy to navigate between the instructions and experiment and facilitating the collection of data. Thesis Supervisor: Nishikant Sonwalkar Title: Director, Hypermedia Teaching Facility
Microbial Load and Chemical Analysis of Locally Made and Imported Mayonnaise

This study was conducted with the objectives of isolation, identification and determination of the bacterial load and chemical composition of mayonnaise. Ten samples were collected from different cafeterias in Khartoum town, in addition to commercial mayonnaise and home made mayonnaise samples. The total viable counts of aerobic and anaerobic microorganisms were very low in all the samples except one cafeteria sample where the aerobic and anaerobic counts amounted to 4.8×10 and 3.9×10, respectively. The coliform most probable number(per 100 ml) in five samples of cafeteria made mayonnaise was 4.8×10 per 100 ml. Yeast and mold were detected in two samples of the cafeteria made mayonnaise. No acetic acid bacteria were obtained in any of the investigated samples. Lactobacillus and Enterococcus bacteria were isolated from the rest of the samples.
An Approximate Transformation for the Error Component Model with MA(q) Disturbances

1. Magnus, J.R. & H. Neudecker. Matrix Differential Calculus with Applications in Statistics and Econometrics. Chichester: Wiley, 1988. 2. Satorra, A. Asymptotic robust inferences in the analysis of mean and covariance structures. In P.V. Marsden (ed.), Sociological Methodology 92, pp. 249-278. Oxford & Cambridge, MA: Basil Blackwell, 1992. 3. Satorra, A. & H. Neudecker. On the asymptotic optimality of alternative minimum-distance estimators in linear relation models. Research Memorandum Series TI-1992/75. Timbergen Institute, Holland, 1992.
Optimal Structural Estimation of Triangular Systems: II. The Nonstationary Case

90.3. 5. Optimal Structural Estimation of Triangular Systems: II. The Nonstationary Case—Solutions. Three solutions have been proposed independently by Peter C.B. Phillips (the poser of the problem), Juan J. Dolado, and H. Peter Boswijk. These solutions provide a correct answer to the problem. In addition, they each contain interesting derivations and provide additional insights into the results obtained. Faced with the very difficult task to chose among these solutions, the Editor solved this dilemma by publishing all three solutions. 1. Solution—proposed by Peter C.B. Phillips, Yale University. PART (a). Setting x, = t, we start with the 2SLS estimator j3 = Since
HUBUNGAN TINGKAT MODAL SOSIAL TERHADAP TINGKAT PENDAPATAN PELAKU UKM

Keripik tempe merupakan icon oleh-oleh khas kota Malang. Sanan sebagai salah satu wilayah di Kota Malang, merupakan pusat dari home industry yang memproduksi keripik tempe. Dalam kegiatan usaha, pelaku usaha membutuhkan modal untuk menjalankan usahanya. Modal yang sering diperhatikan seringkali hanya tertuju pada modal finansial, sumberdaya alam, sumberdaya manusia dan kemampuan memanfaatkan teknologi. Kenyataannya, terdapat modal lain, yakni modal sosial, akan tetapi modal sosial ini sering kali diabaikan oleh para pelaku usaha. Faktual, untuk mengingkatkan produktifitas usaha dibutuhkan semua modal yang ada, termasuk modal sosial. Menjadi menarik apabila ada penelitian yang menganalisa tentang seberapa kuat hubungan modal sosial terhadap tingkat pendapatan pelaku UKM. Hal ini bertujuan, untuk mengukur, dan menguji serta mengetahui hasil perhitungan dari hubungan tingkat modal sosial terhadap tingkat pendapatan pelaku UKM. Berdasarkan hasil pengujian, menunjukkan bahwa ada korelasi yang positif dan signifikan antara variabel modal sosial dan variabel tingkat pendapatan dimana nilai koefisien korelasi (r hitung) Pearson Product Moment (0,475) dan nilai r tabel diketahui (0,316), sehingga nilai r hitung > r tabel yang artinya H 1 diterima dan H 0 ditolak. Hal ini berarti ada hubungan antara tingkat modal sosial terhadap tingkat pendapatan pelaku UKM.
The Causal Influence of the Built Environment Questioned: Self-selection, Underlying Attitudes, and Feedback Mechanisms

Most studies on the link between the built environment and modal choice characterize and model this relationship by objectively measureable characteristics such as density and diversity. Recently, within the debate on residential self-selection, attention has also been paid to the importance of subjective influences such as the individual’s perception of the built environment and his/her residential attitudes and preferences. However, self-selection might occur on other points than residential location as well. Expanding the analysis to also include both objective and subjective characteristics at other model levels (i.e., not only stage of life characteristics but also personal lifestyles; not only car availability but also travel attitudes, not only modal choice but also mode specific attitudes) is the purpose of this paper. To this end, a modal choice model for active leisure activities is developed using data on personal lifestyles and attitudes, collected via an Internet survey, and estimated using a path model consisting of a set of simultaneous estimated equations between observed variables. While controlling for subjective lifestyles and attitudes, the effects of the built environment and car availability on modal choice can be determined correctly and thus insights in self-selection mechanisms can be gained.
Exogenous and Endogenous Sampling

Moreover the unconstrained maximum likelihood estimator of logdVy/jV/) is log(nji/nJ0) and the asymptotic covariance matrix of Vw(log(/in//i10? ., log (/i/! //i/o) is easily shown to be the diagonal matrix whose diagonal terms are (I/a*) (l/pi/j + l/pO/j)l these terms are consistently estimated by n (l/riy + 1/rtoj). It is known that asymptotically efficient estimators of a and b are obtained by applying the asymptotic least-squares procedure, that is, in this case the weighted nonlinear least-squares procedure:
Projet en milieu universitaire : vers une gestion collaborative assistée par le Web

Cet article presente une methodologie de gestion de projets etudiants assistee par le Web. Cette methodologie met en oeuvre les principes d'une pedagogie active collaborative. Elle est proposee aux etudiants de filieres universitaires professionnalisees ainsi qu'a leurs tuteurs sous forme de kits. Le site Web mis en place par les etudiants assure la communication entre les differents membres du projet. Nous pensons que les etudiants soumis a cette methodologie accroissent leur niveau de competence en gestion de projet, ce que devrait bientot verifier une experimentation en cours.
Design of a Foldback Current Limit Circuit in LDO

The current limit circuit is usually used in the chip in order to prevent chip from being permanently destroyed by the mass current,which is caused by the short circuit of load or over current.The article designed a foldback current limit circuit for LDO according to the above principal.This foldback circuit not only provides good performance in current limiting,but also reduces the power consumption of the chip at heavy load.This design adopted the BiCMOS 0. 6μm process technology,and the Hspice simulating result shows that comparing with the regular constant current limit,the foldback circuit could reduce the power consumption of the system to 30 % of the original consumption.
Frictional Stability of Metamorphic Epidote in Granitoid Faults Under Hydrothermal Conditions and Implications for Injection‐Induced Seismicity

The presence of metamorphic epidote on faults has been implicated in the transition from stable to unstable slip and the nucleation of earthquakes. We present structured laboratory observations of mixed epidote and simulated Pohang granodiorite (analogous to the EGS‐enhanced geothermal system site) gouges to evaluate the impact of heterogeneity and contiguity of epidote‐patch structure on frictional instability. Experiments are at a confining pressure of 110 MPa, pore fluid pressures of 42–63 MPa, temperatures 100–250°C and epidote percentages of 0–100 vol.%. The simulated Pohang granodiorite gouge is frictionally strong (friction coefficient ∼0.71) but transits from velocity‐strengthening to velocity‐weakening at temperatures >150°C. This velocity‐weakening effect is amplified in approximate proportion to increasing epidote content. Modes of epidote precipitation likely control the size and contiguity of the epidote‐only patches and this in turn changes the response of 50:50 epidote‐granodiorite mixed gouges for different geometric configurations. However, 50:50 epidote‐granodiorite mixtures that are variously homogeneously mixed, encapsulated and checkerboarded in their structures are insensitive to their geometries – all reflect the high frictional strength and strong velocity‐weakening response of 100:0 pure epidote. This suggests that the epidote present as thin coatings on fractures/faults can enhance velocity‐weakening behavior, independent of individual patch size and can thereby support the potential seismic reactivation of faults. Considering the frictional and stability properties of epidote at conditions typical of shallow depths, the presence of low‐grade metamorphism exerts a potentially important control on fault stability in granitoids with relevance as a marker mineral for susceptibility to injection‐induced seismicity.