Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Multi-Objective Intelligent Optimization of Financial Resource Management and Allocation Methods in Colleges and Universities

Higher education is the cornerstone of national development. With the rapid development of higher education, it puts forward requirements for the management and allocation of financial resources in colleges and universities. In order for sustainable development of colleges and universities, how to optimize the management and allocation of financial resources has become an important condition. To ensure the smooth implementation and development of various works in colleges and universities and to improve the scientific rationality of college financial budgets, this paper starts with the challenges faced by the college financial work in the new era, analyzes the problems of the college financial resource management, and proposes relevant solutions. Method: combined with the intelligent optimization algorithm, the method used in different situations of financial configuration is introduced, and compared with different algorithms, according to the comparison results, we can get the better intelligent optimization algorithm we want and find the optimal solution among global instances.
Cloning and characterization of a haloarchaeal heat shock protein 70 functionally expressed in Escherichiacoli

The Hsp70 molecular chaperone machine is constituted by the 70-kDa heat shock protein Hsp70 (DnaK), cochaperone protein Hsp40 (DnaJ) and a nucleotide-exchange factor GrpE. Although it is one of the best-characterized molecular chaperone machines, little is known about it in archaea. A 5.2-kb region containing the hsp70 ( dnaK ) gene was cloned from Natrinema sp. J7 strain and sequenced. It contained the Hsp70 chaperone machine gene locus arranged unidirectionally in the order of grpE , hsp70 and hsp40 ( dnaJ ). The hsp70 gene from Natrinema sp. J7 was overexpressed in Escherichia coli BL21 (DE3). The recombinant Hsp70 protein was in a soluble and active form, and its ATPase activity was optimally active in 2.0 M KCl, whereas NaCl had less effect. In vivo , the haloarchaeal hsp70 gene allowed an E. coli dnak -null mutant to propagate l phages and grow at 42 1 C. The results suggested that haloarchaeal
Uji Coba Proses Daur Ulang Limbah Cair ATC (Alkali Treated Cottonii) Dengan Teknik Koagulasi dan Filtrasi

Industri pengolahan alkali treated cottonii (ATC) menghasilkan limbah cair yang sangat besar. Pendaur ulangan limbah cair akan mengefisienkan penggunaan air untuk pengolahan sekaligus mengurangi masalah pencemaran lingkungan. Untuk itu dilakukan ujicoba proses daur ulang limbah cair ATC menggunakan alat yang dirancang oleh Balai Besar Riset Pengolahan Produk dan Bioteknologi Kelautan dan Perikanan yang berkapasitas 360 liter/jam. Pengolahan limbah cair dilakukan dengan teknik koagulasi dan filtrasi. Proses koagulasi dilakukan dengan penambahan bahan koagulan tawas (Al 2(SO4)3 ) dan flokulan blok di dalam tangki koagulasi, sedangkan filtrasi dilakukan dengan melewatkan limbah melalui kolom zeolit‑arang aktif dan filter selulosa asetat. Pengamatan dilakukan terhadap limbah cair dan air hasil olahan yang meliputi total padatan terlarut (Total Dissolved Solids/ TDS ), total padatan anorganik terlarut (Total Inorganic Dissolved Solids/ TIDS ), Biological Oxygen Demand ( BOD ), pH, kekeruhan, bau, dan warna limbah. Hasil penelitian menunjukkan bahwa pengolahan limbah cair ATC dapat menurunkan jumlah TDS, TIDS dan BOD hingga 56,60%, 32,29%, dan 60,66%, meskipun kemampuan alat filtrasi menggunakan kolom zeolit‑arang aktif menurun seiring dengan banyaknya proses daur ulang yang dilakukan. Berdasarkan hasil analisis didapatkan juga bahwa proses daur ulang limbah cair ATC mampu menurunkan nilai pH, kekeruhan, bau, dan warna limbah. Dengan pengolahan tersebut limbah cair dapat didaur ulang hingga 5 kali untuk proses pengolahan ATC berikutnya.
INSTITUTIONALIZING T-CELL BIOMARKERS IN TYPE 1 DIABETES DIFFICULTIES AND RECENT ADVANCES

: Type 1 diabetes (T1D) results from the dynamic devastation of the b-cells of the pancreas in a procedure primarily intercepted by T-cells. The T1D testing network has gained emotional ground in understanding the hereditary premises of the disease, as well as in advancing institutionalized autoantibody measures that counsel both risk of infection and movement. Despite these advances, there remains a lack of strong and recognized biomarkers that can viably illuminate T cell movement during the characteristic history of the disease or as a result of treatment. At this time, we are talking about the advancement of biomarkers and approval efforts for the evaluation of T cell responses in patients with and at risk for T1D, as well as ongoing innovations. Our current research was conducted at Sir Ganga Ram Hospital, Lahore from November 2018 to October 2019. It is expected that with the effective organization and execution of a well-thought-out biomarker improvement pipeline, T-cell-related biomarkers would rapidly accelerate efforts to verify disease movement and the evaluation of T1D-mediated therapies.
ZVS Buck-Boost LLC cascade converter with all soft switched switches

ABSTRACT A Buck-Boost LLC cascade converter is proposed in this paper. In virtue of the Zero-Voltage-Switching (ZVS) modulation strategy for Buck-Boost circuit, all the switches can be soft switched with wide conversion range and full load range. By sharing one of the two bridge legs, the magnetizing current needed to realize the ZVS of switches decreases. Then, the power density and efficiency of the proposed converter increase. Theoretical analysis and characteristics of the proposed converter are presented and verified on a 210 V–400 V input 12 V/400 W output experimental prototype. The experimental results show that the proposed converter can achieve a peak efficiency of 95.6% at 1 MHz. The power density of the proposed converter is as high as 414 W/in3 with the help of GaN transistors and planar transformers.
Shape recognition and form error evaluation of quadric surfaces

Quadric surfaces commonly exist in natural objects and artificial components. It is widely needed to recognise the actual surface shape from a set of measured data points. In this paper a shape recognition approach is presented to determine the surface type and shape parameters from the general implicit quadratic function. A new method is introduced to fit quadric surfaces by implicit functions in the sense of orthogonal distance regression. The fitting accuracy and stability can be greatly improved. This method has no requirement on the surface type or initial position of the data. Finally some numerical examples are given to compare the proposed algorithm with the linear least squares method and the specific geometric modelling and to demonstrate its superiority on accuracy, stability and wide applicability.
Observation of e (cid:1) e (cid:2) Annihilation into the C (cid:3) (cid:1) 1 Hadronic Final States (cid:1) 0 (cid:1) 0 and (cid:2)(cid:1) 0

We report the ﬁrst observation of e (cid:1) e (cid:2) annihilation into states of positive C parity, namely, (cid:1) 0 (cid:1) 0 and (cid:2)(cid:1) 0 . The two states are observed in the (cid:3) (cid:1) (cid:3) (cid:2) (cid:3) (cid:1) (cid:3) (cid:2) and K (cid:1) K (cid:2) (cid:3) (cid:1) (cid:3) (cid:2) ﬁnal states, respectively, in a data The distributions the or the suggest We measure cross sections within the
Activation at Cell Surfaces Factor H in Regulating Complement Critical Role of the C-Terminal Domains of

The plasma protein factor H primarily controls the activation of the alternative pathway of complement. The C-terminal of factor H is known to be involved in protection of host cells from complement attack. In the present study, we show that domains 19–20 alone are capable of discriminating between host-like and complement-activating cells. Furthermore, although factor H possesses three binding sites for C3b, binding to cell-bound C3b can be almost completely inhibited by the single site located in domains 19–20. All of the regulatory activities of factor H are expressed by the N-terminal four domains, but these activities toward cell-bound C3b are inhibited by isolated recombinant domains 19–20 (rH 19–20). Direct competition with the N-terminal site is unlikely to explain this because regulation of ﬂuid phase C3b is unaffected by domains 19–20. Finally, we show that addition of isolated rH 19–20 to normal human serum leads to aggressive complement-mediated lysis of normally nonactivating sheep erythrocytes and moderate lysis of human erythrocytes, which possess membrane-bound regulators of complement. Taken to-gether, the results highlight the importance of the cell surface protective functions exhibited by factor H compared with other complement regulatory proteins. The results may also explain why atypical hemolytic uremic syndrome patients with mutations affecting domains 19–20 can maintain complement homeostasis in plasma while their complement system attacks erythrocytes, platelets, endothelial cells, and kidney tissue. The Journal of Immunology, 2006, 177: 6308–6316. reaction and incubated 5 min at 37°C to cleave iC3b and release C3c. The cells were sedimented by centrifugation (2 min, 10,000 (cid:3) g ), and the distribution of the radioactivity between the cell pellet and the supernatant was determined. A total of 24 nM factor H gave 50% cofactor activity, in the absence of rH 19–20 ( in and the results were graphed relative to this representative of two separate and of
Exploring the User Security Experience of Mobile Payment in China

— Mobile payment services are in widespread use in China, but with them come growing concerns about security. Although the security of mobile payment has been demonstrated, a sample of user experience derived from real world data must be collected to understand the complex use context. This study aims to contribute to the current research by providing qualitative data through in-depth semi-structured interviews. The research explores the user security experience in a variety of use contexts by investigating mobile payment services in a mature market. The findings showed that users view their security experience as composed both financial and privacy aspects. The key user experience for mobile payment security was divided into five components: online mobile transaction, in-store payment, peer-to-peer payment, payment interaction in the physical world, and the network environment. Useful elements were also identified for enhancing security experience for mobile payment. Investigating security experience and user needs when designing mobile payment systems in context will provide a more holistic picture of the security needs surrounding mobile payment.
Functional Fabric Pattern—Examining the Case of Pressure Detection and Localization

This paper proposes a method for modifying the functionality of conductive fabric by using different weaves on the same materials. After introducing the method, this paper demonstrates its effectiveness using an example involving fabric pressure sensors. The fabric pressure sensors in this paper can alter the electrical properties of a given fabric—while using the same material in both the warp and weft directions—by changing the weaving technique at certain locations within the fabric. Conventional fabric pressure sensors require separate, location-specific outputs; every increase in the number of detection locations requires an increase in the number of detector circuit input cables. However, our fabric pressure sensors can detect location and external force via just three input–output cables.
Molecular analysis of Leptospiraspp. isolated from humans by restriction fragment length polymorphism, real-time PCR and pulsed-¢eld gel electrophoresis

A total of 17 Leptospira clinical strains isolated from humans in Croatia were serologically and genetically analysed. For serovar identiﬁcation, the microscopic agglutination test (MAT) and pulsed-ﬁeld gel electrophoresis (PFGE) were used. To identify isolates on genomic species level, PCR-based restriction fragment length polymorphism (RFLP) and real-time PCR were performed. MAT revealed the following serogroup afﬁnities: Grippotyphosa (seven isolates), Icterohaemorrhagiae (eight isolates) and Javanica (two isolates). RFLP of PCR products from a 331-bp-long fragment of rrs (16S rRNA gene) digested with endonucleases MnlI and DdeI and real-time PCR revealed three Leptospira genomic species. Grippotyphosa isolates belonged to Leptospira kirschneri , Icterohaemorrhagiae isolates to Leptospira interrogans and Javanica isolates to Leptospira borgpetersenii . Genomic DNA from 17 leptospiral isolates was digested with NotI and SgrAI restriction enzymes and analysed by PFGE. Results showed that seven isolates have the same binding pattern to serovar Grippotyphosa, eight isolates to serovar Icterohaemorrhagiae and two isolates to serovar Poi. Results demonstrate the diversity of leptospires circulating in Croatia. We point out the usefulness of a combination of PFGE, RFLP and real-time PCR as appropriate molecular methods in molecular analysis of leptospires.
ONLINE DECEIT: THE USE OF IDIOSYNCRATIC CUES IN IDENTIFYING DUPLICITOUS USER-GENERATED CONTENT by

Author: Roland, Christopher, R. PhD Institution: Purdue University Degree Received: August 2019 Title: Online Deceit: The Use of Idiosyncratic Indicators in Identifying Duplicitous UserGenerated Content Major Professor: Torsten Reimer The emergence of online information-seekers harnessing the aggregated experiences of others to evaluate online information has coincided with deceptive entities exploiting this tool to bias judgments. One method through which deceit about user-generated content can occur is through single entities impersonating multiple, independent content providers to saturate content samples. Two studies are introduced to explore how idiosyncratic indicators, features co-occurring between content messages that implicate a higher probability of deceit, can be used as a criterion to identify content that is not independently authored. In Study 1, analyses of a pairwise comparison of hypothetical reviews revealed that ratings of content independence were significantly lower when review pairs co-occurred in the attributes, text, and usernames compared to being heterogenous. In a high-fidelity experiment, Study 2 assessed if the effect of idiosyncratic indicators on independence is increased in the presence of multiple indicators, if it is attenuated with a high number of reviews, and if it impacts factors relevant to the choice selection process. As expected, the findings of Study 1 were replicated in addition to further revealing that the presence of multiple idiosyncratic cues yielded lower independence ratings. An interaction effect with idiosyncratic indicators and high review number was observed such that the effect of the former on independence was attenuated when there were a high number of reviews to obscure the presence of these indicators.
Selecting groups of covariates in the elastic net

This paper introduces a novel method to select groups of variables in sparse regression and classiﬁcation settings. The groups are formed based on the correlations between covariates and ensure that for example spatial or spectral relations are preserved without explicitly coding for these. The preservation of relations gives increased interpretability. The method is based on the elastic net and adaptively selects highly correlated groups of variables and does therefore not waste time in grouping irrelevant variables for the problem at hand. The method is illustrated on a simulated data set and on regression of moisture content in multispectral images of sand. In both cases, the predictions were better or similar to existing regression and classiﬁcation algorithms and the interpretation was enhanced using the grouping method. On top of that, the grouping method more consistently selects the important variables.
Cardiovascular Risk Pro le in Dupuytren’s Disease: A Systematic Review and Meta-Analysis

Sylvain Mathieu (  smathieu@chu-clermontferrand.fr ) CHU Gabriel Montpied: Centre Hospitalier Universitaire Gabriel Montpied https://orcid.org/0000-00032017-3227 Bruno Pereira CHU Gabriel Montpied: Centre Hospitalier Universitaire Gabriel Montpied Frederic Dutheil CHU Gabriel Montpied: Centre Hospitalier Universitaire Gabriel Montpied Martin Soubrier CHU Gabriel Montpied: Centre Hospitalier Universitaire Gabriel Montpied
Detection of Blood Vessels in Retina Images using Gray Level Grouping Method

: The most important part of the eye is the retina that covers the entire back part of the eye. Eye diseases are one of the most important causes of disability and even death in developed countries as well as in developing countries. Disorders created in the retina that occur due to special diseases can be detected by specific retinal images. Studying the changes in retinal images in a specific time period can help physicians to diagnose the related diseases. In the present paper, the detection of blood vessels in retina images has been investigated. For this purpose, first a new method is proposed to improve the quality of retina images by combining the histogram adjustment and gray level grouping. We use the feature vector to classify the pixels. Next, a method for classifying the images based on the feature extraction vector is required. The use of neural networks is one of the best and most widely used methods of machine learning for classification. We used a 3-layer Perceptron to classify pixels.
Individual Differences in the Role of Prior Knowledge in Word Learning: An Inferred Bayesian Model

Individuals may gain information about the meaning of novel words by using contextual clues. A Bayesian framework of such inferential word learning suggests that learners integrate prior knowledge about possible word meanings with the statistical structure of the observed instances to make rational inductive inferences. We examined this process by creating a mechanistic Bayesian Observer model. Forty-five adults used contextual information to infer the names of twenty novel animals and tested on next-day memory. The informativeness of the contextual information was calculated from a preliminary norming study (INF rating, likelihood ). INF ratings, with participants’ accuracy ( posterior distribution ), were used to retroactively infer participants’ prior distribution , an estimate of evidence supporting their hypotheses throughout the task. Individual’s initial prior distribution and how incrementally it was updated across the task were predictive for next-day memory. Exploratory cluster analyses suggest individuals’ strategies in the task were associated with different prior and posterior distributions.
Monoallelic Gene Expression Ly49a Evidence for Epigenetic Maintenance of

Although structurally unrelated, the human killer cell Ig-like ( KIR ) genes and the rodent lectin-like Ly49 genes serve similar functional roles in NK cells. Moreover, both gene families display variegated, monoallelic expression patterns established at the transcriptional level. DNA methylation has been shown to play an important role in maintenance of expression patterns of KIR genes, which have CpG island promoters. The potential role of DNA methylation in expression of Ly49 genes, which have CpG-poor promoters, is unknown. In this study, we show that hypomethylation of the region encompassing the Pro-2 promoter of Ly49a and Ly49c in primary C57BL/6 NK cells correlates with expression of the gene. Using C57BL/6 (cid:1) BALB/c F 1 hybrid mice, we demonstrate that the expressed allele of Ly49a is hypomethylated while the nonexpressed allele is heavily methylated, indicating a role for epigenetics in maintaining monoallelic Ly49 gene expression. Furthermore, the Ly49a Pro-2 region is heavily methylated in fetal NK cells but variably methylated in nonlymphoid tissues. Finally, in apparent contrast to the KIR genes, we show that DNA methylation and the histone acetylation state of the Pro-2 region are strictly linked with Ly49a expression status. The Journal of Immunology, 2006, 176: 2991–2999.
An Assessment of Cash Flow Volatility Impact on Financial Leverage: Evidence from Textile Industry-Pakistan

: The aim of this study is to examine the impact of volatility of cash flow on leverage levels of the firm. It also investigates other variables that may affect the leverage levels of Pakistani firms. The measures are constructed for volatility of cash flow as five-year rolling standard deviation of cash flows from operations. Generalized Linear Model (GLM) approach is applied to examine the effect of VCF on leverage levels. To eliminate possible outliers, VCF is winsorized at 1 st and 99 th percentile. Ordinary Least Square (OLS) is also applied as an alternative approach. It is found that volatility of cash flow is inversely proportional to the leverage of the firm. Pakistani markets consider firms more risky than recorded in books. Volatility of cash flow (VCF) is an important factor that affect the firms directly. Earlier empirical studies about relationship between VCF and leverage levels is not conclusive. On the other hand, existing studies mainly focused on developed countries. No earlier comprehensive study has been conducted on Pakistani firms with variables used in this study. This study fulfills that gap by applying models and variables in this study. Book Leverage Ratio as total liabilities divided by total liabilities plus equity’s book value, Total-Debt Book Leverage Ratio by dividing total debt (short- plus long-term) with total debt plus equity’s book value, Long-Term Book Leverage Ratio (BLR_LTD) by dividing long-term debt by long-term debt plus equity’s book value, Total-Liabilities Market Leverage Ratio by dividing total liabilities.
Pro Guard Malicious Social Network Account Based Online Promotions

The Online social networks (OSNs) gradually integrate financial capabilities by enabling the usage of real and virtual currency. They serve as new platforms to host a variety of business activities, such as online promotion events, where users can possibly get virtual currency as rewards by participating in such events. Both OSNs and business partners are significantly concerned when attackers instrument a set of accounts to collect virtual currency from these events, which make these events ineffective and result in significant financial loss. It becomes of great importance to proactively detecting these malicious accounts before the online promotion activities and subsequently decreases their priority to be rewarded. In this paper, we propose a novel system, namely ProGuard, to accomplish this objective by systematically integrating features that characterize accounts from three perspectives including their general behaviors, their recharging patterns, and the usage of their currency. We have performed extensive experiments based on data collected from the Tencent QQ, a global leading OSN with built-in financial management activities. Experimental results have demonstrated that our system can accomplish a high recognition rate of 96.57% at a very low false positive rate of 0.43%.