Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-rank representation of tensor network operators with long-range pairwise interactions

Tensor network operators, such as the matrix product operator (MPO) and the projected entangled-pair operator (PEPO), can provide efficient representation of certain linear operators in high dimensional spaces. This paper focuses on the efficient representation of tensor network operators with long-range pairwise interactions such as the Coulomb interaction. For MPOs, we find that all existing efficient methods exploit a peculiar "upper-triangular low-rank" (UTLR) property, i.e. the upper-triangular part of the matrix can be well approximated by a low-rank matrix, while the matrix itself can be full-rank. This allows us to convert the problem of finding the efficient MPO representation into a matrix completion problem. We develop a modified incremental singular value decomposition method (ISVD) to solve this ill-conditioned matrix completion problem. This algorithm yields equivalent MPO representation to that developed in [Stoudenmire and White, Phys. Rev. Lett. 2017]. In order to efficiently treat more general tensor network operators, we develop another strategy for compressing tensor network operators based on hierarchical low-rank matrix formats, such as the hierarchical off-diagonal low-rank (HODLR) format, and the $\mathcal{H}$-matrix format. Though the pre-constant in the complexity is larger, the advantage of using the hierarchical low-rank matrix format is that it is applicable to both MPOs and PEPOs. For the Coulomb interaction, the operator can be represented by a linear combination of $\mathcal{O}(\log(N)\log(N/\epsilon))$ MPOs/PEPOs, each with a constant bond dimension, where $N$ is the system size and $\epsilon$ is the accuracy of the low-rank truncation. Neither the modified ISVD nor the hierarchical low-rank algorithm assumes that the long-range interaction takes a translation-invariant form.
Disaggregation Quality and Market Reactions

This study examines the relationship between restatements and disaggregation quality (DQ) of financial statements, which captures the fineness of the financial information disclosed in annual reports. Our paper finds that restatement firms have lower DQ than their non-restatement peers in the misstatement periods, but the matched pairs have comparable DQ in other periods. Only the restatement firms with low pre-announcement DQ levels enhance their DQ in response to restatement announcements. Also, market reacts less negatively to restatement announcements of the firms that increase DQ levels than to those that decrease DQ levels after the announcements. Our study sheds lights on detection of financial misstatements and potential remedial disclosure strategies by firms after restatements.
Isolation and Antimicrobial Susceptibility Pattern of Escherichia coli from Rectal Swabs of Rodents Trapped from Household Compounds in Wolaita Zone, Southern Ethiopia

Rodents are also considered as reservoir hosts for wide range of pathogens of zoonotic importance. Escherichia coli has been isolated from rodents in different parts of the world. To isolate and test antimicrobial susceptibility pattern of Escherichia coli from synanthropic rodent species trapped from household compounds by using rectal swab. A total of 77 rodents were trapped and standard methods were used to isolate E.coli from all the rodent species comprising Stenocephalemys albipes 24(31.2%), Mus mohamet 18 (23.4%), Arvicanthis spp. 15 (19.5%), Mastomys erythroleucus 12 (15%), Gerbriliscus species 4 (5.2%), Crocidura oliveri 3 (3%) andAcomys wilsoni 1(1.3%) were analyzed for antimicrobial susceptibility to twelve commonly used antimicrobials. All the 77 (100%) rectal swabs were positive for E. coli. The antibiogram revealed that 31.38% of the E. coli isolates were resistant to all drugs tested except Ciprofloxacin, Gentamicin and Chloramphenicol. Complete resistance to amoxicillin and Amoxicillin-clavunic acid was observed in the E.coli isolates. The results of this study demonstrated that rodents in the household compounds may have been exposed to materials containing antimicrobial residues and that rodents carry antimicrobial resistant bacterial organisms which can pose a public health hazard. Accepted: 11 December 2016 Available Online: 25 January 2017
THE EXPRESSIVE POWER OF NEURAL NETWORKS

Over the last ten years there has been a resurgence in the popularity of neural networks in machine learning. With better hardware, people have been able to implement increasingly complicated networks and achieve impressive results on tasks like image recognition and playing board games. The models are clearly flexible and powerful function approximators even though they are assembled from individually simple parts, namely linear transformations and simple componentwise nonlinear functions. Despite all this progress, the class of functions that can be easily represented by neural networks is still not well understood [14]. This project is an attempt to assess the current understanding of the function approximation capabilities of neural networks, to point towards the gaps in understanding, and to search for some theory that may be able to help fill these gaps. A better understanding of these capabilities could lead to better performance on real problems by formally understanding which network architectures can yield better performance.
Investigating Local Sparse Cut Approximation Algorithms

Given an undirected graph G, a sparse cut is a collection of vertices that are tightly connected to each other, but weakly connected to the rest of G. We study a class of algorithms for approximating the sparsest cut in a graph locally. The algorithms are local because they find cuts in time proportional to the size of the cut rather than the size of the graph as a whole, creating the potential for massively scaleable partitioning algorithms. We implement several local sparse cut algorithms: Dumb a näıve, greedy algorithm for improving already existing cuts; PagePartition, which computes local PageRank vectors around a given vertex to identify clusters; EvoPartition, which uses a randomized evolving sets process to grow a sparse cut; and LocalImprove, which uses a series of maximum flow computations to refine a given cut. We use these implementations to analyze a collection of networks arising from a variety of domains, like social networks, road maps, and more. In the process, we discover that procedures based on evolving sets tend to outperform those based on PageRank vectors. In addition, we confirm that processing existing cuts with Dumb and LocalImprove can dramatically reduce the conductance of the cut. In fact, these improvements are often by similar amounts, despite the fact that LocalImprove is a much more sophisticated algorithm. Finally, we find evidence strongly supporting previous research, which showed that real-world graphs frequently contain very small, very sparse cuts. Many of the graphs we examine contain sparse cuts, and some even contain very large sparse cuts.
Rural households ’ food security status and coping strategies in Edo State Nigeria

Attainment of food security at the national and household levels have remained a challenge in Nigeria with rural households being worst affected. It was on this premise that this study was carried out to examine rural households’ food security status and coping strategies in Edo State, Nigeria. Using a structured questionnaire, information was collected from 150 rural household heads selected by multi-stage sampling technique. Data were analyzed using; descriptive statistics, calorie food intake estimation, Food Poverty Line (FPL), Coping Strategy Index (CSI) and logit regression method. The study found that an average household was made up of six members, headed mostly (80.0%) by males, with a mean age of 48 years. The FPL for this study was estimated at 110 for a daily minimum food bundle of 2100 kcal. Based on the FPL, 47.3% of the households were classified as food secure. Furthermore, the coping strategies adopted by the households were: relying on less preferred food (97.3%), purchasing food on credit (82.0%), reducing number of meals eaten in a day (81.3%) and relying on help from relatives (74.0%). Logit regression analysis revealed that an increase in annual income (p < 0.01), education (p < 0.01), size of land cultivated (p<0.05), land ownership (p<0.05) and level of livestock possession by the household’s head (p < 0.05) reduced the likelihood of food insecurity among the sampled households while an increase in age (p < 0.1) and household size (p < 0.01) increased the likelihood of food insecurity among the households sampled. The study concluded that less than half of the households sampled were food secure while the food insecure households adopted various coping strategies to mitigate the negative effect of food insecurity. This study recommends among others that families should be encouraged to keep moderate household size, while increasing land cultivated and livestock possession in order to enhance food security.
Laser-Doppler Velocimetry Measurements Inside a Backward Curved Centrifugal

Laser-Doppler velocimetry (LDV) measurements are presented of relative mean velocity and turbulence intensity components inside the impeller passage of a centrifugal fan with twelve backward curved blades at design, under-design, and over-design flow rates. Additional LDV measurements were also performed at the volute outlet to examine the uniformity of the outlet flow for the three selected flow rates. Complementary flow visualization results in the tongue region are further presented. It is found that the number ofcharacteristic flow regions and the average turbulence level increase with decreasing air flow rate. For the case of under-design flow rate, there are a through-flow region on the suction side, a reverse flow region on the pressure side, and a shear layer region in between. The corresponding average turbulence intensity is as high as 9.1% of blade tip velocity.
Preliminary checklist of sailfin silversides ( Teleostei : Telmatherinidae ) in the Malili Lakes of Sulawesi ( Indonesia ) , with a synopsis of systematics and threats

Fabian Herder1, Julia Schwarzer1, Jobst Pfaender1, Renny K. Hadiaty2, and Ulrich K. Schliewen3. 1 Sektion Ichthyologie, Zoologisches Forschungsmuseum Alexander Koenig, Adenauerallee 160, D-53113 Bonn, Germany; f_herder@yahoo.com (corresponding author) 2 Ichthyology Laboratory, Division of Zoology, Research Center for Biology, Indonesian Institute of Sciences (LIPI), Jl. Raya Bogor Km 46, Cibinong 16911, Indonesia 3 Department of Ichthyology, Bavarian State Collection of Zoology (ZSM), Münchhausenstr. 21, D-81247 München, Germany
A STUDY ON CERTAIN BLOOD BIOMARKERS OF PREGNANT CHOLISTANI COWS

The study investigates the alterations in hematological and cortisol levels in three trimesters of pregnancy in the cows of Cholistani breed being reared under nomadic pastoralism production system at Cholistan desert, Pakistan. Pregnant cows (n=12) ranging between 3 to 5 years of age were incorporated in the study and were grouped as (n= 04 each) viz. belonging to 1st, 2nd and 3rd trimesters of pregnancy. Blood was collected and analyzed for salient hematological parameters through manual methods, and for cortisol assessment through commercial ELISA kit. Each cow was bled thrice in a month hence making a total of 36 blood samples. The mean values for Total Erythrocytic Count and hemoglobin were higher (P<0.05) in the first as compared to the second and third trimesters, respectively. There was no difference (P> 0.05) in the Packed Cell Volume during the three trimesters of pregnancy. Regarding the erythrocytic indices, an increase (P<0.05) was observed for Mean Corpuscular Volume in the three trimesters of pregnancy. Whereas, a decrease (P<0.05) was noted for Mean Corpuscular Hemoglobin Concentration. There was no difference (P>0.05) for Mean Corpuscular Hemoglobin across the length of pregnancy. There was an increase (P<0.05) in the Total Leukocytic Count in the second and third trimesters of pregnancy, however,there was no difference (P>0.05) in the Differential Leukocytic Count during the three trimester of pregnancy. Cortisol tended to increase (P<0.05) with advancing stage of pregnancy. The alterations in hematological parameters and cortisol level of pregnant Cholistani cows are marked in each trimester. Hemodilution, an enhanced TLC and cortisol level are the main features of pregnancy in pregnant Cholistani cows. However, in general, they tend to maintain a harmonious pattern which may be an indication of their innate adaptive stress-tolerant ability.
The important role of oral hygiene in the treatment with fixed orthodontic appliance

Therapy with fixed orthodontic appliance means functional as well as aesthetic improvement of a patienťs dentition. However, it brings about certain risks as well, especially in the čase when a patient does not follow appropriate oral hygieně. This article aims at specific problems and consequences ofbad hygieně during the treatment with fixed orthodontic appliances, the consequences for hard and soft tissues of the mouth cavity. It also pays attention to some measures that help to avoid demineralization and diseases ofperiodontium in orthodontic patientS. (Ortodoncie 2005, 14, No. 1, p. 23-31) Klíčová slova: ústní hygiena, leze white spot, hyperplastická gingivitis, fluoridace
Effect of Moringa Oleifera on serum lipids and kidney function of hyperlipidemic rats 1

The present work aims to study the potential effect of fortified bread with Moringa Oleiferato (MO) leaves powder under 5%, 10% & 15% concentrations to give more protection against hyperlipidemia . Thirty-two male albino rats were used in this experiment. These rats were put on ideal diet for two weeks before the performance of experiment. At the beginning, these rats were divided into four main groups and fed on diets for 45 days as follows: The first group fed on basal diet as a negative control. The second group fed on high fat diet (2% cholesterol) to induce hyperlipidemia as a positive control. The third and fourth groups fed on high fat diet containing fortified bread with 10% & 15% (MO) powder. At the end of the experimental period, blood samples were collected from the aorta to determine serum lipids and determine the kidney functions include serum uric acid, urea nitrogen and creatinine. Also, the kidney and heart were removed surgically for histopathological observation. From the obtained results we concluded that group of rats fed on high fat diet were considered as a major risk factor for hyperlipidemia disease. Our results could be summarized that bread fortified with MO at 10% & 15% were considered the best for causing a reduction of TC, TG, LDL and VLDL. Also, kidney function has been improved and there were significant reduction in uric acid serum, urea, and creatinine than that of positive control group. In fact, feeding bread fortified with MO improved the body weight gain and food intake. Histopathological observation proved that the last group diet is considered as a negative control group. We can conclude that fortified diet with 15% MO level powder realized the best effects on hyperlipidemia rats.
Effect of Organizational Culture on the Knowledge Management Practices in Private Sector Universities of Pakistan: Mediating Role of Trust

The research intended to study the effect of organizational culture on knowledge management practices in private universities of Pakistan and to identify the role of trust in mediating the association among organizational culture and knowledge management. The study is an explanatory study and followed quantitative design. A closed-ended questionnaire was used as research instrument using 5-points Likert scale. Organizational Culture was measured using Organizational Culture Assessment Instrument (OCAI) and knowledge management was measured by means of the Knowledge Management Assessment Instrument (KMAI) built on the theoretical model of the Competing Value Framework (CVF). From this study of organizational culture towards knowledge management, all outcomes show that supportive culture has significant impact on knowledge management in organizations. In this regard employees trust has also found significant in mediating the association among organizational culture and knowledge management. Organizations should create the atmosphere of trust and learning which facilitates the knowledge management process. University management should pay attention towards employee management relationships and technology aggradations in literature they are found as few forms of trust employee pay attention to.
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence

Policy gradient methods with actor-critic schemes demonstrate tremendous empirical successes, especially when the actors and critics are parameterized by neural networks. However, it remains less clear whether such "neural" policy gradient methods converge to globally optimal policies and whether they even converge at all. We answer both the questions affirmatively in the overparameterized regime. In detail, we prove that neural natural policy gradient converges to a globally optimal policy at a sublinear rate. Also, we show that neural vanilla policy gradient converges sublinearly to a stationary point. Meanwhile, by relating the suboptimality of the stationary points to the representation power of neural actor and critic classes, we prove the global optimality of all stationary points under mild regularity conditions. Particularly, we show that a key to the global optimality and convergence is the "compatibility" between the actor and critic, which is ensured by sharing neural architectures and random initializations across the actor and critic. To the best of our knowledge, our analysis establishes the first global optimality and convergence guarantees for neural policy gradient methods.
Evaluating the inter-rater reliability of the Violence Risk Scale - Sexual Offense Version (VRS-SO) in a community-based treatment setting 1

Methods to assess risk of reoffending and guide rehabilitation efforts for offenders have been evolving over several decades, resulting in the development of a number of specialised tools. Evaluating the validity and reliability of these tools across contexts is imperative, in order to have confidence in the accuracy of risk assessments and the decisions they inform. One such tool is the Violence Risk Scale-Sexual Offense version (VRS-SO), designed to assess both risk of reoffending and change across treatment among sex offenders. Although validated on several incarcerated samples, to date the validity of this tool in community based settings has not been evaluated. This study reports on an exploration into VRS-SO inter-rater reliability, carried out as part of a wider community validation study. Clinician-scored pre-treatment VRS-SO ratings (n = 8) were gathered over an eight-month period, and each case was also rated independently by a researcher using file information. Rater consistency was analysed using the intraclass correlation coefficient (r ICC ). Unstructured interviews of clinicians were also undertaken to obtain valuable user perspectives. Our results indicate strong preliminary support for VRS-SO inter-rater reliability in a community treatment setting (e.g., ICC c,2 = .98, p < 0.001for total scores), and add to the existing evidence base further given the use of prospectively collected clinical ratings. Item-level analyses suggest that modifications for the community setting and/or for clients whose offences were internet-based could further enhance reliability. The findings inform applications of the VRS-SO with community-based clients as well as potential future modifications for this context.
Drying and pulverization processes affect the physico-chemical properties of kaffir lime leaves ( Citrus hystrix DC )

The leaves of Kaffir lime (Citrus hystrix DC) are marketed in dried or powdered form. In this research, the effect of oven drying at a relatively low temperature but in a long time with or without the following pulverization on the characteristics of kaffir lime leaves was investigated. The change of moisture analyzed by vacuum oven method, the color analyzed by a chromameter, the yield of essential oils and the volatiles composition analyzed by GC-MS were observed for fresh, dried and dried-pulverized kaffir lime leaves. A moisture content desired for storage, 7%, was achieved when the leaves were dried for 12 hours using a cabinet dryer at 50°C. The yields of essential oils of the dried leaves were decreasing after their pulverization process into powder. Their color characteristics according to L, a and b values tend to increase. The volatiles composition also changed. Among the essential oil components, citronellal, an important volatile in the fresh leaves, was found to decrease, but on the other hand the oxidized compounds such as oxygenated sesquiterpenes were dominantly present in the yields.
WhiteNet: Phishing Website Detection by Visual Whitelists

Phishing websites aiming at stealing users' information by claiming fake identities and impersonating visual profiles belonging to trustworthy websites are still a major threat for today's Internet thread. Therefore, detecting visual similarity to a set of whitelisted legitimate websites was often used in phishing detection literature. Despite numerous previous efforts, these methods are either evaluated on datasets with severe limitations or assume a close copy of the targeted legitimate webpages, which makes them easy to be bypassed. This paper contributes WhiteNet, a new similarity-based phishing detection framework, i.e., a triplet network with three shared Convolutional Neural Networks (CNNs). We furthermore present WhitePhish, an improved dataset to evaluate WhiteNet and other frameworks in an ecologically valid manner. WhiteNet learns profiles for websites in order to detect zero-day phishing websites and achieves an area of 0.9879 under the ROC curve of legitimate versus phishing binary classification which outperforms re-implemented state-of-the-art methods. WhitePhish is an extended dataset based on an in-depth analysis of whitelist sources and dataset characteristics.
A Synchronized Log Cloud Forensic Framework

In this paper, we present a framework for compute cloud forensics that includes an investigation process model based on physical crime scene procedures. The work is motivated by work done by Carrier and Spafford [3]. We posit the concepts in [3] for articulation within a distributed service oriented virtualization environment aptly described as a utility compute cloud. In this model, each digital device is a connection of virtual cloud servers mapped to a physical disk cluster situated within the storage area network (SAN). Each digital device is considered a part of the physical crime scene where it is located. The investigation includes the preservation of the Virtual Machine (VM) Networks, the search for digital evidence, and the reconstruction of digital events. Our contribution applies a case study evaluation of our design of a VM log auditor software application within the University environment to corroborate the arguments presented within this suggested framework. The focus of the cloud forensics investigation is on the reconstruction of events using the synchronized VM and physical disk log files so that hypotheses can be developed and tested. The paper also includes definitions and descriptions of the basic and core concepts the framework uses.