Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS OF THE IMPACT OF SOCIAL AND EMOTIONAL FACTORS ON STUDENT PERFORMANCE USING DATA MINING TECHNIQUES

: In present world’s education system, secondary school education is considered as the main phase in the student’s education life and high importance is given to it. Although, importance for the secondary school education is high many students are failing due to many reasons. Taking this into consideration many educational institutes are acquainting new methods to make students develop their grades. Educational Data Mining is a booming field of research which is used to predict the student’s performance. Many data mining classification algorithms are used to predict the performance of the students which help the management to take necessary measures for the development of the student. Non-academic factors like parent’s job, student activities, family relationships are considered. Data Mining models like Naive Bayes, Neural Networks, Support Vector Machine, Decision Tree, Random Forest are used to predict student’s performance. Various features are evaluated using Data Mining models and the performance of each student is assessed. As the outcome of this research, necessary guidance is given to the students whose performance is low compared to others. This develops the education quality and standards of the school.
Cikm analyticup 2020: Covid-19 retweet prediction with personalized attention

This paper describes the first place winning solution for the CIKM AnalytiCup 2020 COVID-19 retweet prediction challenge. The objective of the challenge is to predict the popularity of COVID-19 related tweets in terms of the number of retweets, and the submitted solutions of the challenge are ranked based on Mean Squared Logarithmic Error(MSLE) on the leaderboard. The proposed deep learning model to predict retweet counts uses minimal hand-engineered features and learns to predict retweet count based on a personalized attention mechanism. As a tweet keyword may have different informativeness for different users, the personalized attention mechanism helps the deep learning model to weigh the importance of tweet keywords based on a user's interest to retweet. Additional techniques such as adding external data sets to training and pseudolabeling are also experimented with to further improve the MSLE score. The final solution comprises of an ensemble of different personalized attention-based deep learning models, and the source code for the solution can be found at https://github.com/vinayakarajt/ CIKM2020. © 2020 CEUR-WS. All rights reserved.
Design of Cloud-based Context-aware System Based on Falling Type

To understand whether Falling, which is one of the causes of injuries, occurs, various behavior recognition research is proceeding. However, in most research recognize only the fact that Falling has occurred and provide the service. As well as the occurrence of the Falling, the risk varies greatly based on the type of Falling and the situation before and after the Falling. Therefore, when Falling occurs, it is necessary to infer the user's current situation and provide appropriate services. In this paper, we propose to base on Fog Computing and Cloud Computing to design Context-aware System using analysis of behavior data and process sensor data in real-time. This system solved the problem of increase latency and server overload due to large capacity sensor data.
Semi-Automated Cell Panning for Efficient Isolation of FGFR3-Targeting Antibody

Phage display technology is a widely used practical tool for isolating binding molecules against the desired targets in phage libraries. In the case of targeting the membrane protein with its natural conformation, conventional bio-panning has limitations on the efficient screening of the functionally relevant antibodies. To enrich the single-chain variable fragment (scFv) pools for recognizing the natural conformation of the membrane targets, the conventional bio-panning and screening process was modified to include the semi-automated cell panning protocol. Using FGFR3-overexpressing patient-derived cancer cells, biotin-X-DHPE was introduced and coupled to Streptavidin-coated magnetic beads for use in the solution-phage bio-panning procedure. The resulting clones of scFv were compared to the diversity of the binding region, especially on CDR-H3. The clones enriched further by cell-based panning procedure possessed a similar binding site and the CDR-H3 loop structure. The resulting antibodies inhibited cell growth and induced target degradation. This process may be a useful tool for screening biologically related antibodies that recognize natural conformational structure on cell membrane protein. Furthermore, cell-based panning has the potential to further expand to a high-throughput screening (HTS) system and automation process.
Error function learning with interpretable compositional networks for constraint-based local search

In Constraint Programming, some Constraint-Based Local Search algorithms exploit error functions, a finer representation of constraints than the usual one. However, this makes problem modeling significantly harder, since providing a set of error functions is not always easy. Here, we propose a method to automatically learn an error function corresponding to a constraint. Our method learns error functions upon a variant of neural networks we named Interpretable Compositional Networks, allowing us to get interpretable results, unlike regular artificial neural networks. Experiments show that our method can learn, over small-dimensional spaces or incomplete spaces, functions that scale on high-dimensional spaces.
Design and Implementation of 8-Bit Low Power Parallel Adder/Subtractor Circuit Using Reversible Computing

- New technology innovation is facing a big challenge of miniaturization and low power electronics. Reversible logic proves to be an emerging solution. Reversible logic has various applications in modern low power computing environment. Adders play a major role in ALU and processors of any computing environment. Adders are not only suitable for addition but for subtraction and multiplication also. For many commercial applications, decimal arithmetic is highly demanding. The main aim of this paper is to design the improved reversible 4-bit & 8-bit full adder/subtraction circuit using Dual Key Gate (DKG) and Dual key Gate Pair (DKGP) gates that work singly as full adder/full subtraction are used to realize the basic building blocks of logic circuits. The reversible 4-bit & 8-bit full adder/subtraction circuit aresynthesized and simulated in VHDL language using EDA (ElectronicDesign Automation) tool-Xilinx ISE design suit14.2.
Contrastive multiple correspondence analysis (cMCA): Using contrastive learning to identify latent subgroups in political parties

Scaling methods have long been utilized to simplify and cluster high-dimensional data. However, the general latent spaces across all predefined groups derived from these methods sometimes do not fall into researchers’ interest regarding specific patterns within groups. To tackle this issue, we adopt an emerging analysis approach called contrastive learning. We contribute to this growing field by extending its ideas to multiple correspondence analysis (MCA) in order to enable an analysis of data often encountered by social scientists—containing binary, ordinal, and nominal variables. We demonstrate the utility of contrastive MCA (cMCA) by analyzing two different surveys of voters in the U.S. and U.K. Our results suggest that, first, cMCA can identify substantively important dimensions and divisions among subgroups that are overlooked by traditional methods; second, for other cases, cMCA can derive latent traits that emphasize subgroups seen moderately in those derived by traditional methods.
Modified ACO model for Regression Testing Using Automated slicing

: The Regression testing is the testing which is applied to test the software when some changes are done in the already developed project. The test case prioritization is the technique of regression testing which prioritizes the test cases according to the changes which are done in the developed project. This work is based on automated and manual test case prioritization techniques. In the existing technique the manual test case prioritization is been implemented to detect faults from the project. In the manual test case prioritization two parameters are considered which are, number of times function encountered and number of functions associated with the particular function. On the basis of these two parameters the importance of each function is calculated which are prioritized by calculating FTV value. The FTV value is calculated according to the changes which are defined in the developed project. To increase the fault detection rate of the test case prioritization, automated test case prioritization is being implemented in this work. In the first step of the algorithm, the population values are taken as input which is the number of times function encountered and number of functions associated with a particular function. In the second step, the algorithm will start traversing the population values and error is calculated after every iteration. The iteration at which the error is maximum at that point the mutation value is calculated as the best mutation value of the function. The function mutation value will be the function importance from where the test cases are prioritized according to the defined changes. In the last step of the algorithm the function importance values are accessed according to the defined changes and best fitness value is calculated which will be the final percentage of faults detected from the project after the particular change.
CMAR_A_288229 2885..2896

Department of Urology, Henan Provincial People’s Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, 450003, People’s Republic of China Background: Dysregulation of circular RNAs (circRNAs) is associated with bladder cancer progression. Nevertheless, the mechanisms of circRNA centrosomal protein 128 (circCEP128) underlying bladder cancer progression remain poorly understood. Methods: The levels of circCEP128, microRNA-515-5p (miR-515-5p) and syndecan-1 (SDC1) were determined via reverse transcription-quantitative polymerase chain reaction or Western blot. The effects of circCEP128, miR-515-5p and SDC1 on bladder cancer progression were investigated via MTT and colony formation assays, flow cytometry and transwell analysis and subcutaneous xenograft experiments. The interactions between miR515-5p and circCEP128 or SDC1 were examined through bioinformatics prediction and luciferase reporter assay. Results: circCEP128 and SDC1 were highly expressed and miR-515-5p was low expressed in bladder cancer tissues and cells. circCEP128 knockdown hindered cell proliferation, migration and invasion and promoted cell apoptosis in bladder cancer. circCEP128 loss increased miR-515-5p expression through direct interaction in bladder cancer cells. MiR515-5p depletion mitigated the influences of circCEP128 knockdown on bladder cancer cell phenotypes. SDC1 was a direct target of miR-515-5p. circCEP128 positively regulated SDC1 expression via miR-515-5p. MiR-515-5p restrained the malignant progression of bladder cancer cells by decreasing SDC1 expression. circCEP128 knockdown hindered the growth of bladder cancer xenograft tumors by up-regulating miR-515-5p and down-regulating SDC1. Conclusion: circCEP128 knockdown hampered the tumorigenesis and progression of bladder cancer by regulating miR-515-5p/SDC1 axis in vitro and in vivo, deepening our understanding on the molecular mechanisms of circCEP128 in bladder cancer.
A STUDY ON SOCIO ECONOMIC IMPACT OF OIL PALM (Elaeis guineensis Jacq.) PLANTATION AMONG SMALL SCALE FARMERS WITHIN KOLASIB DISTRICT, MIZORAM, INDIA

The selection of right crop is extremely crucial for farmers whose livelihood solely relies on product from their agricultural land. Beneficial crops include crop yield, market price, management practice with lesser labor, etc. The demand for palm oil increases and India is among the largest importer of it. In Mizoram, Oil Palm Plantation(OPP) has been rouse from 2004 with the Government taken initiatives and Kolasib district has been listed under the promising area. Many of the farmers has been convinced to shift to OPP and the Government also enroll it under its flagship programme NLUP. However recently many debates and myth on OPP arouse, while some replace OPP; others recently start OPP in the southern part of Mizoram. Establishment and future expansion plans for oil palm plantations in the study district has become the subject of political and environmental debates. The research is design to assess the management, practice, problems, livelihood of farmers, etc of OPP in Southern part of Kolasib district. From the study, it is clear that OPP support many livelihoods but the satisfaction is not high among the farmer. Most farmers observe only small visible impact on flora and fauna after OPP on their Land which contrast to many negative impact proclaim by different Organisation. Management and harvesting is not an easy task and most farmers regarded the cultivation not suitable to all kinds of family.
Genome Sequence of the Polychlorinated-Biphenyl Degrader <named-content content-type='genus-species' xlink:type='simple'>Pseudomonas pseudoalcaligenes</named-content> KF707

Tania Triscari-Barberi, Domenico Simone, Francesco Maria Calabrese, Marcella Attimonelli, Kristen R. Hahn, Kingsley K. Amoako, Raymond J. Turner, Stefano Fedi, and Davide Zannoni Department of Biology, General Microbiology Unit, Faculty of Sciences, University of Bologna, Bologna, Italy; Department of Biosciences, Biotechnology and Pharmacological Sciences, University of Bari “Aldo Moro,” Bari, Italy; Canadian Food Inspection Agency, National Centres for Animal Disease, Lethbridge Laboratory, Lethbridge, Alberta, Canada; and Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada
Constitution of diffusivity variation system by the smooth morph of the material

Wideness variation technique is compounded the smooth diffusivity-vibration status of the fulgurate-space realization level (FSRL) on the wideness realization morph. The realization level condition by the wideness realization morph system is associated with the diffusivity-vibration system. As to search a position of the dot situation, we are acquired of the wideness value with constructed-point point by the diffusivity upper structure. The concept of realization level is composed the reference of fulgurate-space level for variation signal by the wideness vibration morph. Further displaying a smooth variation of the FSRL of the maximum-minimum in terms of the diffusivity-vibration morph, and wideness position vibration that was the a wideness value of the far variation of the Wid-rm-FA-αMAX-MIN with 23.24±3.37 units, that was the a wideness value of the convenient variation of the Wid-rm-CO-αMAX-MIN with 7.83±1.32 units, that was the a wideness value of the flank variation of the Wid-rm-FL-αMAX-MIN with 2.99±0.51 units, that was the a wideness value of the vicinage variation of the Wid-rm-VI-αMAX-MIN with 0.51±(-0.01) units. The diffusivity vibration will be to evaluate at the smooth ability of the diffusivity-vibration morph with constructed-point by the wideness realization level on the FSRL that is displayed the fulgurate-space morph by the realization level system. Diffusivity realization system will be possible to control of a morph by the special signal and to use a wideness data of diffusivity vibration level.
Desulfurization of Kerosene by the Electrochemical Oxidation and Extraction Process

To meet the environmental requirements, kerosene, as the major component of jet fuel, is necessary for deep desulfurization. An electrochemical oxidation–extraction method was proposed to reduce the sulfur content in kerosene in this work. First, the electrochemical oxidation of kerosene was carried out in NaCl solution. Then, N-methyl-2-pyrrolidone (NMP) was used as an extractant to remove the oxidized organic sulfides. Gas chromatography–flame photometric detector (GC–FPD), gas chromatography–mass spectrometry (GC–MS), Fourier transform infrared (FTIR) spectroscopy, and ion chromatography were used to determine 1-heptyl mercaptan, one of the main organic sulfides in kerosene, and its products after electrochemical oxidation. The results showed that 1-heptyl mercaptan was effectively oxidized to diheptyl disulfide, 1-heptanesulfonyl chloride, and sulfate in electrochemical oxidation and removed after extraction. After electrochemical oxidation–extraction, the sulfur content of kerosene decreased from 180.
Conjectures on finite and p-local groups

Nutzungsbedingungen Die ETH-Bibliothek ist Anbieterin der digitalisierten Zeitschriften. Sie besitzt keine Urheberrechte an den Inhalten der Zeitschriften. Die Rechte liegen in der Regel bei den Herausgebern. Die auf der Plattform e-periodica veröffentlichten Dokumente stehen für nicht-kommerzielle Zwecke in Lehre und Forschung sowie für die private Nutzung frei zur Verfügung. Einzelne Dateien oder Ausdrucke aus diesem Angebot können zusammen mit diesen Nutzungsbedingungen und den korrekten Herkunftsbezeichnungen weitergegeben werden. Das Veröffentlichen von Bildern in Printund Online-Publikationen ist nur mit vorheriger Genehmigung der Rechteinhaber erlaubt. Die systematische Speicherung von Teilen des elektronischen Angebots auf anderen Servern bedarf ebenfalls des schriftlichen Einverständnisses der Rechteinhaber.
NDT_A_283022 3135..3144

1Department of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; 2Department of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand Purpose: This study compared predictors of passive suicidal ideation (SI), active SI, and suicide attempt (SA) among elderly Thai patients in tertiary care settings. Patients and Methods: Psychiatric diagnoses and suicidality of 803 older people were assessed using the Mini-International Neuropsychiatric Interview and the Structured Clinical Interview for DSM-IV-TR. All participants completed the Montreal Cognitive Assessment, multidimensional scale of perceived social support (MSPSS), 15-item Thai geriatric depression scale (TGDS-15), 10-item perceived social scale and the Core Symptoms Index. The chi-square test, t-test and ANOVA were used for bivariate analysis of predictors of specific suicidality types. Multiple logistic regression was used to determine the predictors for each type of suicidality. Results: The patients’ mean age was 69.24 ± 6.90 years, and the majority were female (69.74%). Passive SI, active SI and SA were found among 20.42%, 3.74% and 2.37%, respectively, of the patients. Major depressive disorder (MDD) was a predictor of both passive and active SI (OR = 2.06 and 3.74, respectively). Other predictors of passive SI included hypomania (OR = 8.27) and positive score on the TGDS-15 (OR = 1.29). Predictors of active SI included agoraphobia (OR = 6.84) and hypomania (OR = 7.10). Predictors of SA included a family history of alcohol dependence (OR = 14.16), a history of depression (OR = 4.78) and agoraphobia (OR = 19.89). Surprisingly, hypertension and self-reported anxiety symptoms were protective factors for passive SI (OR = 0.51 and 0.85, respectively). Likewise, MSPSS was a protective factor for SA (OR = 0.90). Conclusion: Predictors of each type of suicidality differed. MDD was the main predictor for SI; however, agoraphobia and poor perceived social support were more pronounced among individuals with SA. Further investigation, especially in longitudinal fashion, should be warranted.
Investigation on Tolerability and Safety of Interferon α-2b Dry Powder Inhalers in Rats

Objective To investigate the tolerability and safety of interferon α-2b dry powder inhalers in rats.Methods The tolerability of the lung was assessed by analyzing total protein and cellular components in bronchoalveolar lavages.The safety of the dry powders was assessed by lung histology.Results The total protein concentrations in bronchoalveolar lavages and neutrophils percent increased markedly in rats treated.The total protein concentrations in rats administrated with empty dry powder inhalers increased at 4 h,and the total protein concentrations and neutrophils percentage increased markedly in rats administrated with interferonα-2b dry powder inhalers compared with rats administrated with air.Neutrophils percentage increased markedly in rats administrated with interferon α-2b dry powder inhalers compared with rats administrated with empty dry powder inhalers at 4 h.The histological examination of the lung sections 4 h and 24 h after powder administration did not reveal any marked difference compared to the control group.Neither edematous reaction nor infiltration of macrophages in the alveoli was observed.But slight infiltration of neutrophils was found at 24 h in rats given dry powder inhalers with or without interferonα-2b.Conclusion interferon α-2b dry powder inhalers may cause slight inflammation.
Complete Genome Sequence of the Industrial Strain <named-content content-type='genus-species' xlink:type='simple'>Ketogulonicigenium vulgare</named-content> WSH-001

Complete Genome Sequence of the Industrial Strain Ketogulonicigenium vulgare WSH-001 Liming Liu,§ Yang Li,§ Jing Zhang, Zhemin Zhou, Jie Liu, Xiaomin Li, Jingwen Zhou, Guocheng Du, Lei Wang, and Jian Chen* State Key Laboratory of Food Science and Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Jiangsu Jiangshan Pharmaceutical Co., Ltd., Jingjiang 214500, China; TEDA School of Biological Sciences and Biotechnology, Nankai University, Tianjin 300457, China; The Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, Nankai University, Tianjin 300457, China; and Tianjin Biochip Corporation, 23 Hongda Street, TEDA, Tianjin 300457, China
Evolution of a qubit under the inﬂuence of a succession of unsharp measurements

We investigate the evolution of a single qubit subject to a continuous unitary dynamics and an additional interrupting inﬂuence which occurs periodically. One may imagine a dynamically evolving closed quantum system which becomes open at certain times. The interrupting inﬂuence is represented by an operation, which is assumed to equivalently describe a non-selective unsharp measurement. It may be decomposed into a positive operator, which in case of a measurement represents the pure measurement part, followed by an unitary back-action operator. Equations of motion for the state evolution are derived in the form of diﬀerence equations. It is shown that the “free” Hamiltonian is completed by an averaged Hamiltonian, which goes back to the back-action. The positive operator speciﬁes a decoherence rate and results in a decoherence term. The continuum limit to a master equation is performed. The selective evolution is discussed and correcting higher order terms are worked out in an Appendix.
DMSO_A_305092 1885..1895

1Experiment & Teaching Center for Basic Medicine, Chifeng University School of Basic Medical Sciences, Chifeng, Inner Mongolia, 024000, People’s Republic of China; 2Core Facility Center for Functional Experiments, CUSBMS, Chifeng University School of Basic Medical Sciences, Chifeng, Inner Mongolia, 024000, People’s Republic of China; 3Department of Human Anatomy, CUSBMS, Chifeng University School of Basic Medical Sciences, Chifeng, Inner Mongolia, 024000, People’s Republic of China; 4Clinical Research Center for Medical Sciences, IMMU, Chifeng University School of Basic Medical Sciences, Chifeng, Inner Mongolia, 024000, People’s Republic of China