Miracle-dz/UniFAR-FTUs huggingface dataset:
COMPARISON OF VIEWS ON FINITISTIC PROJECTIVE DIMENSION

The finitistic dimension conjecture says that the projective dimension of finitely generated modules over an Artin algebra is bounded when finite. The conjecture is known for algebras of representation dimension 3, for modules of Loevey length 2 and for stratifying systems with at most 2 indecomposable modules of infinite projective dimension (Huard, Lanzilotta, Mendoza [4]). We would like to increase these numbers by one. We will look at stratifying systems of size 3 and examine the corresponding subquivers, Koszul dual systems for the representation dimension 4 case and the advantages of reduction to the case of finite fields. In some cases the corresponding statements are easier to solve and I will show how this works for the self-dual zero relation case. This is joint work with Gordana Todorov.
Network dilemmas. Supplements when income doesn’t cover family expenses

Abstract The purpose of this article is to explore how families with low income experience network supplements when income does not cover the daily expenses, and to discuss how people look at this supply. The article is based on qualitative data from the Norwegian ‘Children’s level of living – study’. One child and one parent in 26 low income families were interviewed individually about their daily life. This article is based on interviews with the parents, and the analyses are inspired by grounded theory. Results: Despite a universal welfare system, people firstly turn to family and social network when they are in need. This is, however, an ambiguous experience and the informants are concerned about being able to reciprocate the help, although this can be a challenge when you are the weak part in a relation. The results are discussed in the light of social exchange theory and social capital.
BaseNP Supersense Tagging for Japanese Texts

This paper describes baseNP supersense tagging for Japanese texts. The task extracts base noun phrases (baseNPs) from raw texts in Japanese, and labels their baseNPs with supersenses. This task has a number of applications including predicate argument structure analysis and question answering. While the definition of baseNP in English is relatively clear, its definition in Japanese has not yet been clear. In this paper, we defined Japanese baseNP analogous to English and defined Japanese supersenses using a broad-coverage Japanese thesaurus, Nihongo Goi Taikei (comprehensive outline of Japanese vocabulary). We then adopted a sequential tagging algorithm for the task, namely the averaged perceptron with HMM, and achieve high performance compared to a baseline.
Joint Spatial Division and Multiplexing: Opportunistic Beamforming and User Grouping

Joint Spatial Division and Multiplexing (JSDM) is a recently proposed scheme to enable massive MIMO like gains and simplified system operations for Frequency Division Duplexing (FDD) systems. The key idea lies in partitioning the users into groups with approximately similar covariances, and use a two stage downlink beamforming: a pre-beamformer that depends on the channel covariances and minimizes interference across groups and a multiuser MIMO precoder for the effective channel after pre-beamforming, to counteract interference within a group. We first focus on the regime of a fixed number of antennas and large number of users, and show that opportunistic beamforming with user selection yields significant gain, and thus, channel correlation may yield a capacity improvement over the uncorrelated "isotropic" channel result of Sharif and Hassibi. We prove that in the presence of different correlations among groups, a block diagonalization approach for the design of pre-beamformers achieves the optimal sum-rate scaling. Next, we consider the regime of large number of antennas and users, where user selection does not provide significant gain. Here, we propose a simplified user grouping algorithm to cluster users into groups when the number of antennas becomes very large, in a realistic setting where users are randomly distributed and have different angles of arrival and angular spreads depending on the propagation environment. Our subsequent analysis leads to a probabilistic scheduling algorithm, where users within each group are preselected at random based on probabilities derived from the large system analysis, depending on the fairness criterion. This is advantageous since only the selected users are required to feedback their channel state information (CSIT).
Research on Dynamic Task Assignment in Grid Workflow System

Task assignment in grid workflow system should be designed to adapt well with the grid which allow people from different organizations to work together in the same workflow process. To ensure grid workflow systems could assign the task to the most suitable person, a novel solution is proposed firstly. Then two description languages GHRSL and HRRL are defined. GHRSL (grid human resource specification language) describes people as grid resources. HRRL (human resources requirement language) describes human resources requirement of workflow tasks. Finally, the evaluation method and the algorithm of dynamic task assignment are also proposed. Based on these, the grid workflow system could assign tasks dynamically to the correct person(s)
Semantic-based extraction approach for generating source code summary towards program comprehension

Program comprehension is a vital process that involves much effort in software maintenance. A key challenge for the developers is to comprehend a software system to be maintained since it is difficult and time consuming. Nowadays, software systems have grown in size causing the increased of developers' tasks in exploring and understanding source code. Source code is a crucial resource for developers to become familiar with a software system since some system documentation is often unavailable or outdated. Although many researchers have discussed different strategies and techniques to overcome the program comprehension problem, there are still many challenges that they have not yet discovered when trying to understand a software system through reading source code. Therefore, this study attempts to overcome the problem of source code comprehension by suggesting a suitable comprehension technique. We propose a semantic-based extraction approach of source code and generating it as a summary. This work aims to explain the concepts and relationships of program by integrating utilization of ontology and UML class-based modeling approaches. It will be easier for maintainer to understand source code as well as create a better way for improving program comprehension.
Considering Not-Quantified Quality Attributes in an Automated Design Space Exploration

In a software design process, the quality of the resulting software system is highly driven by the quality of its software architecture (SA). In such a process trade-off decisions must be made between multiple quality attributes (QAs), such as performance or security, that are often competing. Several approaches exist to improve SAs either quantitatively or qualitatively. The first group of approaches requires to quantify each single QA to be considered in the design process, while the latter group of approaches are often fully manual processes. However, time and cost constraints often make it impossible to either quantify all relevant QAs or manually evaluate candidate architectures. Our approach to the problem is to quantify several most important quality requirements, combine them with several not-quantified QAs and use them together in an automated design space exploration process. As our basis, we used the PerOpteryx design space exploration approach, which requires quantified measures for its optimization engine, and extended it in order to combine them with not-quantified QAs. By this, our approach allows optimizing the design space by considering even QAs that can not be quantified due to cost constraints or lack of quantification methodologies. We applied our approach to two case studies to demonstrate its benefits. We showed how performance can be balanced against not-quantified QAs, such as security, using an example derived from an industry case study.
Student Achievement Prediction Based on Artificial Neural Network

The accurate prediction of academic students, for improving student achievement and improve teaching quality of teachers is important. This paper adopts forward neural network model, using the Levenberg-Marquardt algorithm to calculate the optimal weights of model, to achieve the mapping of impact on the behavior of normal university students academic. Experimental samples based on 800 students, calculated that up to 79.1% accuracy of the model, the proposed method is effective.
PARTISIPASI MASYARAKAT DALAM PERENCANAAN PEMBANGUNAN DESA MELALUI MUSRENBANG(Studi Kasus Pada Pembangunan Japordes Desa Tunggunjagir Kecamatan Mantup Kabupaten Lamongan)

Partisipasi masyarakat adalah sebagai bentuk keterlibatan anggota masyarakat dalam seluruh pembangunan yang meliputi kegiatan dalam perencanaan dan pelaksanaan program pembangunan. Keikutsertaan masyarakat dalam bentuk partisipasi merupakan penunjang keberhasilan program yang di berikan oleh pemerintah. Program Pembangunan Jalan Poros Desa (Japordes) di Desa Tunggunjagir Kecamatan Mantup Kabupaten Lamongan bertujuan untuk kesejahteraan masyarakat yaitu dengan membuat akses masyarakat menjadi lebih mudah dalam melakukan aktifitasnya yang awalnya kondisi jalan tidak layak untuk dilewati saat musim hujan oleh karena itu di harapkan partisipasi masyarakat untuk menyelesaikan permasalahan yang ada di desanya. Penelitian ini bertujuan untuk mendeskripsikan partisipasi masyarakat dalam perencanaan pembangunan Desa melalui Musrenbang di Desa Tunggunjagir Kecamatan Mantup Kabupaten Lamongan. Metode penelitian yang digunakan adalah deskriptif dengan pendekatan kualitatif. Adapun narasumber penelitian ini diantaranya adalah aparat Desa serta warga Desa Tunggunjagir Kecamatan Mantup Kabupaten Lamongan. Teknik pengumpulan data yang digunakan berupa wawancara, observasi serta dokumentasi. Analisis data dilakukan dengan pengumpulan data, reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa warga Desa Tunggunjagir Kecamatan Mantup Kabupaten Lamongan telah memberikan partisipasi dan dukungannya dalam pembangunan Jalan Poros Desa ( Japordes). Warga Desa Tunggunjagir bersedia memberikan partisipasinya dalam setiap kegiatan yang dilaksanakan yaitu partisipasi dalam perencanaan yang diwujudkan dengan kehadiran masyarakat dalam menghadiri musyawarah yang diselenggarakan oleh aparat Pemerintah Desa Tunggunjagir, partisipasi dalam pelaksanaan diwujudkan dalam bentuk tenaga, uang, bahan(marerial), partisipasi dalam kemanfaatan diwujudkan dalam bentuk kegiatan pemeliharaan lingkungan, dan partisipasi dalam evaluasi diwujudkan dalam bentuk musyawarah perencanaan pembangunan untuk perbaikan Japordes. Dalam penelitian ini menunjukkan bahwa partisipasi masyarakat dapat dinilai baik yang ditunjukkan dengan peran serta masyarakat yang aktif dalam pembangunan Japordes meskipun perlu adanya evaluasi dalam pembangunan Jalan Poros Desa (Japordes) agar dapat terselesaikan dengan baik. Saran yang diberikan dalam penelitian ini adalah Agar program dapat terlaksana dengan baik yaitu dengan mengrkoordinir dengan masyarakat agar nantinya masyarakat mendukung sepenuhnya dalam kelancaran pembangunan Jalan Poros Desa (Japordes). Kata Kunci : Partisipasi Masyarakat dan Perencanaan Pembangunan
Systematic hypermedia application design with OOHDM

In this paper we analyze the process of hypermedia applications design and implementation, focusing in particular on two critical aspects of these applications: the navigational and interface structure. We discuss the way in which we build the navigation and abstract interface models using the Object-Oriented Hypermedia Design Method (OOHDM); we show which concerns must be taken into account for each task by giving examples from a real project we are developing, the Portinari Project. We show which implementation concerns must be considered when defining interface behavior, discussing both a Toolbook and a HTML implementation of the example application.
Culture of Corrections: The Experiences of Women Correctional Officers

Based on 36 interviews with women correctional officers, we examined their everyday work experiences in the Ontario Provincial correctional system. We used the Psycho-Social Ethnography of the Commonplace methodology to determine challenges and complications women endure in this highly gendered, masculine-defined culture, and the resilience approaches they used to survive. Findings indicate how sexism, hostility, paternalism, and social alienation are maintained and reinforced. Women are repetitively, implicitly and explicitly reminded of their fragile femininity, physical inferiority, and lack of fit. Policy recommendations to contravene the Culture of Corrections’ androcentric nature, and those found in other nontraditional men-dominated work environments, are offered.
The neurocognitive correlates of co-occurring anxiety in children at increased familial risk for autism spectrum disorder

Autism Spectrum Disorder (ASD) is a heritable neurodevelopmental condition. In addition to the core symptoms, numerous physical and mental health issues commonly co-occur with ASD, notably anxiety disorders. Despite its high prevalence, the nature of anxiety within ASD remains poorly understood. This thesis investigated the prevalence, neurocognitive correlates and longitudinal predictors of co-occurring anxiety in children at familial high-risk for ASD (HR, n=42) and low-risk controls (LR, n=37) aged 6-8 years. The HR group was divided into those who met diagnostic criteria for ASD (HR-ASD, n=15) and those who did not (HR-non ASD, n=27). This thesis had three broad aims. Primarily, the prevalence of co-occurring anxiety and its association to the core symptoms of ASD was investigated in the HR and LR groups using both parentand self-report. A further aim was to investigate whether the cognitive correlates of anxiety observed in non-ASD populations (such as increased attentional bias to threat) were also present in the HR-ASD and HR-non ASD groups. The final aim was to examine whether dysregulated temperament (high levels of Negative Affect and low Effortful Control) in infancy and toddlerhood predicted anxiety symptoms in middle childhood in the HR and LR groups. The HR-ASD group had high levels of parent-reported anxiety, which were associated with the core symptoms of ASD. However, they did not exhibit enhanced bias to threatening stimuli. On the other hand, the HR-non ASD group had somewhat elevated anxiety on specific subscales but did manifest heightened attentional bias to threat. Finally, Negative Affect at the age of 7 months was associated with anxiety at 6-
Comparing the Squatting Position and Traditional Sitting Position for Ease of Spinal Needle Placement: A Randomized Clinical Trial

Background: previous evidences suggested that traditional sitting position (flexion of knees approximately 90°, and adduction of hips while feet rest on a stool) and hamstring stretch position (sitting position with maximum extension of knees, adduction of hips, and forward bending) both reversed the lumbar lordosis and the number of spinal needle-bone contacts were identical when placing patients in these positions for neuraxial block. Objectives: In this study, we suggested that squatting position reverses the lumbar lordosis and reduces the number of spinal needle bone contacts better than a traditional sitting position. Patients and Methods: Two hundred and thirty six patients ASA (American Society of Anesthesiologist) class I or II aged 18 to 75 years scheduled for elective surgeries under elective spinal anesthesia were randomized into two groups. We compared the traditional sitting and squatting positions. Our primary endpoint was the number of spinal needle-bone contacts, and secondary endpoint was ease of needle insertion or space identification. Results: The total number of spinal needle bone contact was statistically lower in the squatting position compared to traditional sitting position group (222 versus 230 respectively, P = 0.01). Insertion of needle was easy in 97 (87%) and 94 (84%) of patients and difficult in 20 (18%) and 17 (15%) of patients in traditional sitting and squatting positions, respectively (P = 0.59 and P = 0.12). Needle insertion was not impossible in any patients. Conclusions: In squatting position the number of spinal needle-bone contacts was lower compared to the traditional sitting position, nonetheless ease of needle insertion or space identification was the same in the both groups.
Changes in cardiac indices from implanted defibrillator-stored electrograms due to acquisition and preprocessing conditions

A wide number of cardiac indices have been proposed to describe electrocardiograms (ECG) during Ventricular Fibrillation (VF), and they can be useful when analyzing electrograms (EGM) stored in implantable cardioverter Defibrillator (ICD) during spontaneous VF. However, the dependence of their measurement on acquisition and preprocessing conditions has not been so far statistically quantified. We propose a systematic procedure based on nonparametric bootstrap resampling methods to obtain standard errors and confidence intervals for a test. This test detects changes in the statistical distribution of cardiac indices from ICD-stored EGM during VF, due to discrepancies in acquisition and preprocessing conditions. As an application example, significant changes in the distributions of selected spectral indices due to lead configuration were found by comparing measurements obtained from simultaneously recorded unipolar and bipolar EGM during VF. Our nonparametric bootstrap approach can be readily applied to the measurement of cardiac indices, allowing us to study their changes under a diversity of conditions in a systematic way.
Optimization of RDF reasoning based on MapReduce

With the development of information technology, the resource description framework (RDF) occupies very important position in structure of the semantic web. An effective way to enhance the efficiency of the RDF data query is RDF closures. Our work is improve the RDF reasoning in MapReduce framework. The algorithm is based on packet classification efficiency of a few of candidate rules, as well as the NoSQL data storage avoiding repetition, corresponding to the RDF properties and concepts. The optimization algorithm of MapReduce is given a new closure generation process. Our approach use RDFS inference rules and the RDF triples in relationship between Map and Reduce operations and generate the RDF closures, improve the generate efficiency of closure. Based on RDF MapReduce algorithm for RDF closure, look forward more suitable RDF closure computing scheme on cloud computing environment.
Precision glycocalyx editing as a strategy for cancer immunotherapy

Significance Successful tumors are able to evade the immune system, which is otherwise capable of killing transformed cells. Therapies that prevent this evasion have become revolutionary treatments for incurable cancers. One mechanism of evasion is the presentation of sugars, called sialic acids, within the cell surface’s sugar coating, or glycocalyx. Here, we designed biotherapeutic molecules, termed “antibody–enzyme conjugates,” that selectively remove sialic acids from tumor cells. The antibody directs the enzyme to the cancer cells, the enzyme cleaves the sugars, and then the antibody directs immune cells to kill the desialylated cancer cells. The conjugate increased tumor cell killing compared with the antibody alone. Editing the cancer cell glycocalyx with an antibody–enzyme conjugate represents a promising approach to cancer immune therapy. Cell surface sialosides constitute a central axis of immune modulation that is exploited by tumors to evade both innate and adaptive immune destruction. Therapeutic strategies that target tumor-associated sialosides may therefore potentiate antitumor immunity. Here, we report the development of antibody–sialidase conjugates that enhance tumor cell susceptibility to antibody-dependent cell-mediated cytotoxicity (ADCC) by selective desialylation of the tumor cell glycocalyx. We chemically fused a recombinant sialidase to the human epidermal growth factor receptor 2 (HER2)-specific antibody trastuzumab through a C-terminal aldehyde tag. The antibody–sialidase conjugate desialylated tumor cells in a HER2-dependent manner, reduced binding by natural killer (NK) cell inhibitory sialic acid-binding Ig-like lectin (Siglec) receptors, and enhanced binding to the NK-activating receptor natural killer group 2D (NKG2D). Sialidase conjugation to trastuzumab enhanced ADCC against tumor cells expressing moderate levels of HER2, suggesting a therapeutic strategy for cancer patients with lower HER2 levels or inherent trastuzumab resistance. Precision glycocalyx editing with antibody–enzyme conjugates is therefore a promising avenue for cancer immune therapy.
Online Time Series Prediction with Missing Data

We consider the problem of time series prediction in the presence of missing data. We cast the problem as an online learning problem in which the goal of the learner is to minimize prediction error. We then devise an efficient algorithm for the problem, which is based on autoregressive model, and does not assume any structure on the missing data nor on the mechanism that generates the time series. We show that our algorithm's performance asymptotically approaches the performance of the best AR predictor in hindsight, and corroborate the theoretic results with an empirical study on synthetic and real-world data.
Triolein-based polycation lipid nanocarrier for efficient gene delivery: characteristics and mechanism

We proposed to develop a polycation lipid nanocarrier (PLN) with higher transfection efficiency than our previously described polycation nanostrucutred lipid nanocarrier (PNLC). PLN was composed of triolein, cetylated low-molecular-weight polyethylenimine, and dioleoyl phosphatidylethanolamine. The physicochemical properties of PLN and the PLN/DNA complexes (PDC) were characterized. The in vitro transfection was performed in human lung adenocarcinoma (SPC-A1) cells, and the intracellular mechanism was investigated as well. The measurements indicated that PLN and PDC are homogenous nanometer-sized particles with a positive charge. The transfection efficiency of PDC significantly increased with the content of triolein and was higher than that of PNLC and commercial Lipofectamine™ 2000. In particular, the transfection of PLN in the presence of 10% serum was more effective than that in its absence. With the help of specific inhibitors of chlorpromazine and filipin, the clathrin-dependent endocytosis pathway was determined to be the main contributor to the successful transfection mediated by PLN in SPC-A1 cells. The captured images verified that the fluorescent PDC was localized in the lysosomes and nuclei after endocytosis. Thus, PLN represents a novel efficient nonviral gene delivery vector.