Miracle-dz/UniFAR-FTUs huggingface dataset:
Meta-analysis of laparoscopic and open surgery for gastric gastrointestinal stromal tumor.

AIM A meta-analysis was conducted to evaluate and compare the short- and long-term outcomes of laparoscopic and conventional open surgery for gastric gastrointestinal stromal tumors (GISTs). MATERIALS AND METHODS We searched MEDLINE, EMBASE, Science Citation Index, and the Cochrane Controlled Trial Register for relevant articles published between 2000 and July 2013 by using the search terms "laparoscopic", "laparoscopy-assisted", "surgery", "gastrointestinal tumor", "GIST" and "gastric". RESULTS We identified 12 articles reporting results that compared laparoscopic surgery with open surgery for gastric GISTs. Our meta-analysis included 644 patients with GISTs; 312 had undergone laparoscopic surgery, and 332 had undergone open surgery. In the short-term period, 14 outcome variables were examined. In the long-term period, six oncological variables were analyzed. Laparoscopic surgery for gastric GIST was associated with a reduction in intraoperative blood loss, shorter period to flatus, earlier resumption of oral intake, and shorter duration of hospital stay over the short-term, and with a significantly lower rate of overall recurrence, metastatic recurrence and local recurrence in the long-term compared to open surgery. CONCLUSION Laparoscopic surgery may be an acceptable surgical treatment option compared to open surgery for gastric GIST.
Unexpected N and K nutrition diagnosis in oil palm smallholdings using references of high-yielding industrial plantations

The rising demand for vegetable oil is inducing an expansion of oil palm cultivation in the tropics. In southern Cameroon oil palm smallholdings have been growing fast since the mid-1990s. Now, industrial plantations and smallholdings exist side by side. The current technical advice given to smallholders originates from agroindustrial practices. However, industrial plantations were created by planting on previous forest cover with no food intercrops, whereas for smallholdings food crops are a common previous cover and an intercrop during the juvenile phase. Technical advice used for industrial plantations may therefore not apply to smallholdings. Huge yield differences are observed in oil palm smallholdings, ranging from 2 to 14 t·ha−1 of fresh fruit bunches, while in industrial plantations yields average 14–16 t·ha−1. As no agronomic evaluation to date had explained those variations, we carried out a regional agronomic diagnosis of N and K nutrition on smallholder plots planted with selected oil palms. To prepare leaf samples and determine mineral contents, we used the same standardised method and the same laboratory as the regional industrial plantations. We compared smallholder leaf N and K contents with reference models of critical mineral contents, previously built with data from the high-yielding industrial plantations. Statistical links were also established between nutritional status and practices. Our results showed two groups of oil palm plantations: a group with N deficiencies ranging between 80 and 90% of the reference and K deficiencies ranging from 45 to 90% of the reference, and another group with satisfactory N and K status. The N deficiency was statistically linked to food cropping as the previous cover or as an intercrop, whilst K deficiency was qualitatively linked to an absence of K fertilisation. N deficiency is a specificity of oil palm smallholdings that had never been encountered in African industrial plantations. To conclude, the current technical advice given to smallholders is not well adapted.
GlyphNet: Homoglyph domains dataset and detection using attention-based Convolutional Neural Networks

Cyber attacks deceive machines into believing something that does not exist in the first place. However, there are some to which even humans fall prey. One such famous attack that attackers have used over the years to exploit the vulnerability of vision is known to be a Homoglyph attack. It employs a primary yet effective mechanism to create illegitimate domains that are hard to differentiate from legit ones. Moreover, as the difference is pretty indistinguishable for a user to notice, they cannot stop themselves from clicking on these homoglyph domain names. In many cases, that results in either information theft or malware attack on their systems. Existing approaches use simple, string-based comparison techniques applied in primary language-based tasks. Although they are impactful to some extent, they usually fail because they are not robust to different types of homoglyphs and are computationally not feasible because of their time requirement proportional to the string length. Similarly, neural network-based approaches are employed to determine real domain strings from fake ones. Nevertheless, the problem with both methods is that they require paired sequences of real and fake domain strings to work with, which is often not the case in the real world, as the attacker only sends the illegitimate or homoglyph domain to the vulnerable user. Therefore, existing approaches are not suitable for practical scenarios in the real world. In our work, we created GlyphNet, an image dataset that contains 4M domains, both real and homoglyphs. Additionally, we introduce a baseline method for a homoglyph attack detection system using an attention-based convolutional Neural Network. We show that our model can reach state-of-the-art accuracy in detecting homoglyph attacks with a 0.93 AUC on our dataset.
AGE AS MODERATOR OF RELATIONSHIP BETWEEN JOB SATISFACTION AND ORGANIZATIONAL COMMITMENT.

Mohd. Ahamar Khan 1 , Shah Mohd. Khan 2 and Kalyan Kumar Sahoo 3 . 1. Research Scholar, Department of Psychology, Aligarh Muslim University, Aligarh202002. 2. Associate Professor, Department of Psychology, Aligarh Muslim University, Aligarh-202002. 3. Professor, Kings Business School, Accra, Ghana. Manuscript Info Abstract . Manuscript History
ADVANCED KNOWLEDGE MANAGEMENT FOR HELICOPTER HUMS

Conventional helicopter Health Usage and Monitoring Systems (HUMS) rely on analysis algorithms to interpret the data collected from helicopter systems (engine, transmission, etc.) and detect faults. Fault detection and diagnosis methods can be vastly improved by incorporating knowledge gained from other helicopter subsystems and earlier experiments. In this work, we present a knowledge management architecture for helicopter HUMS. Current HUMS designs obtain fault diagnostic information using diagnostic algorithms that have been chosen based on their performance on data from seeded fault tests. Once these HUMS are developed, it is difficult to incorporate newer operational data to improve on the existing diagnostic capabilities. The proposed HUMS architecture is designed to, first, improve on the existing fault diagnostic algorithms and, second, learn from newer operational data, either with or without faults, to improve on its knowledge base. This latter feature facilitates the diagnostic capabilities to grow over time and enables the development of a robust automated fault diagnostic system. The key components of the proposed HUMS are a knowledge capture tool, a genetic algorithm optimization tool, and a case-based reasoning tool. The helicopter HUMS has a ground-based processing/database system and an onboard processing system. An implementation of the proposed HUMS on the Chadwick-Helmuth Vibration eXPert (VXP) system is briefly discussed.
Application of Alcohol-Salt Aqueous Biphasic System for the Recovery of Ectoine

Ectoine is an osmoregulatory compound synthesized by halophiles which has attracted attention in the biotechnology, pharmaceuticals, and cosmetics industries due to its stabilizing and protective properties. Conventional methods for ectoine recovery are complex, costly, and often result in low yields. Therefore, there is a growing interest in exploring simple and cost-effective strategies for ectoine recovery. The aqueous biphasic system (ABS) has been employed for the recovery and purification of numerous biocompounds, but the study of low-molecular weight compounds partitioning in ABS remains limited. This study aimed to investigate the feasibility of alcohol–salt ABS for ectoine recovery from Halomonas salina DSM5928T cells. The influences of types and compositions of phase-forming components, crude load concentration, pH, and adjuvants on ectoine recovery were evaluated. Results revealed that ectoine favoured partitioning into the salt-rich bottom phase of alcohol–salt ABS owing to its inherent hydrophilic characteristic. ABS consisting of 16% (w/w) 1-propanol, 20% (w/w) sulphate at pH 6.0, 30% (w/w) crude load, and 1% (w/w) sodium chloride resulted in a partition coefficient ( of 9.61 ± 0.05 and a yield ( of 97.50% ± 0.21. A purity ( of 86.73% was achieved with the 1-propanol-sulphate ABS. Alcohol–salt ABS proved to be an effective approach for ectoine recovery, meeting the raising market demand for industrial applications.
Bali: Cultural Tourism and Touristic Culture

Celebrated for the richness of its artistic and religious traditions, the island of Bali has made its culture the brand image of its tourist product. This has aroused fears among foreign observers and indigenous authorities alike, who wonder in unison whether Balinese culture will survive the impact of tourism. But beyond the legitimate disquiet that it signals, this question is misleading, for it implies that tourism is an external force striking a receptive milieu, whereas the issue really is to understand how the touristification of a society works from within, affecting the view that a society has of itself. To this end, the author puts into perspective the way the Balinese present their culture to tourists, and the way they represent it to themselves when they speak of tourism. He shows how the imperatives of the tourist promotion of their culture have conditioned their motives for preserving it to the extent that the Balinese end up taking the brand image of their tourist product as a marker of their cultural identity. Incited to preserve and promote their culture in regard to the tourist gaze, the Balinese today have come to the point where they look to tourists for confirmation of their "Balinese-ness".
The External Network Problem

The connectivity of a communications network can often be enhanced if the nodes are able, at some expense, to form links using an external network. In this paper, we consider the problem of how to obtain a prescribed level of connectivity with a minimum number of nodes connecting to the external network. Let D = (V,A) be a digraph. A subset X of vertices in V may be chosen, the so-called external vertices. An internal path is a normal directed path in D; an external path is a pair of internal paths p1 = v1 ···vs, p2 = w1 ···wt in D such that vs and w1 are external vertices (the idea is that v1 can contact wt along this path using an external link from vs to w1 ). Then D is externally-k-arc-strong if for each pair of vertices u and v in V , there are k arc-disjoint paths (which may be internal or external) from u to v. We present polynomial algorithms that, given a digraph D and positive integer k, will find a set of external vertices X of minimum size subject to the requirement that D must be externally-k-arc-strong. We also consider two generalisations of the problem: first we suppose that the number of arc-disjoint paths required from u to v may dier for each choice of u and v, and secondly we suppose that each vertex has a cost and that we are required to find a minimum cost set of external vertices. We show that these two problems are NP-hard. Finally, we consider the analogue of this problem for vertex-connectivity in undirected graphs. A graph G with set of external vertices X is externally-k-connected if there are k vertex-disjoint paths joining each pair of vertices in G. We present polynomial algorithms for finding a minimum size set of external vertices subject to the requirement that G must be externally-k-connected for the cases k 2 {1,2,3}.
Mimivirus Giant Particles Incorporate a Large Fraction of Anonymous and Unique Gene Products

ABSTRACT Acanthamoeba polyphaga mimivirus is the largest known virus in both particle size and genome complexity. Its 1.2-Mb genome encodes 911 proteins, among which only 298 have predicted functions. The composition of purified isolated virions was analyzed by using a combined electrophoresis/mass spectrometry approach allowing the identification of 114 proteins. Besides the expected major structural components, the viral particle packages 12 proteins unambiguously associated with transcriptional machinery, 3 proteins associated with DNA repair, and 2 topoisomerases. Other main functional categories represented in the virion include oxidative pathways and protein modification. More than half of the identified virion-associated proteins correspond to anonymous genes of unknown function, including 45 “ORFans. ” As demonstrated by both Western blotting and immunogold staining, some of these “ORFans,” which lack any convincing similarity in the sequence databases, are endowed with antigenic properties. Thus, anonymous and unique genes constituting the majority of the mimivirus gene complement encode bona fide proteins that are likely to participate in well-integrated processes.
Domain Surface for Object Scanning

The idea of a domain surface is presented. With this idea, an object scanning algorithm from an RGB-D camera can get a simplified mesh. Object scanning usually consists of surface reconstruction and fusion in two steps. Range data is native to surface construction. However, the constructed surface always requires massive data. It is not convenient to directly apply it to another application. To fuse two surfaces correctly, it is critical to have a precise registration of two views. A domain surface can solve the two main problems simultaneously. For the scanned scene, the system will find some domain surface to approximate the described surface. Thus, the object model is being simplified naturally. Traditionally, a registration problem is always solved as a six degree of freedom transformation. Resolving a robust solution from two dependent factors of the rotation and translation by a non-linear form is not straightforward. Usually, an iterative closest point (ICP) algorithm is adopted to find an optimized solution. However, the solution is based on the initial guess, and it is often trapped into a local minimum. From the normal of the mapped pair domain surface, it can estimate the rotation matrix by a linear SVD method. After the rotation is known, the shift of the feature points can more easily recover the translation. The idea of a domain surface is robust and straightforward for surface reconstruction and registration. With the help of this idea, a simplified mesh constructed from range data becomes easier.
A new role for Holliday junction resolvase Yen1 in processing DNA replication intermediates exposes Dna2 as an accessory replicative helicase

DNA replication is mediated by a multi-protein complex known as the replisome. With the hexameric MCM (minichromosome maintenance) replicative helicase at its core, the replisome splits the parental DNA strands, forming replication forks (RFs), where it catalyses coupled leading and lagging strand DNA synthesis. While replication is a highly effective process, intrinsic and oncogene-induced replication stress impedes the progression of replisomes along chromosomes. As a consequence, RFs stall, arrest, and collapse, jeopardizing genome stability. In these instances, accessory fork progression and repair factors, orchestrated by the replication checkpoint, promote RF recovery, ensuring the chromosomes are fully replicated and can be safely segregated at cell division. Homologous recombination (HR) proteins play key roles in negotiating replication stress, binding at stalled RFs and shielding them from inappropriate processing. In addition, HR-mediated strand exchange reactions restart stalled or collapsed RFs and mediate error-free post-replicative repair. DNA transactions at stalled RFs further involve various DNA editing factors, notably helicases and nucleases. A study by Ölmezer et al. (2016) has recently identified a role for the structure-specific nuclease Yen1 (GEN1 in human) in the resolution of dead-end DNA replication intermediates after RF arrest. This new function of Yen1 is distinct from its previously known role as a Holliday junction resolvase, mediating the removal of branched HR intermediates, and it becomes essential for viable chromosome segregation in cells with a defective Dna2 helicase. These findings have revealed greater complexity in the tasks mediated by Yen1 and expose a replicative role for the elusive helicase activity of the conserved Dna2 nuclease-helicase.
Technology and Social Agency: Outlining a Practice Framework for Archaeology

List of Figures. Preface. Acknowledgments. Introduction. 1. Of Black Boxes and Matters Material: The State of Things. 2. Deconstructing the Black Box: Some Philosophical and Historical Reflections on the Logos Tekhne. 3. Prying Open the Black Box: Philosophical Insights on Technology and Being. 4. A Synoptic Approach to Technology: Conceptual Contours of a Practice Framework. 5. Social Agency and Practice: The Heart and Soul of Technology. 6. Engendering the Chaine Operatoire: Methodological Issues. 7. A Future for Technologya s Pasts. Notes. References. Index.
Design and simulation of Microstrip M-patch antenna with double layer

In this paper, we are going to discuss about the current trends in the design of Microstrip M patch antenna intended for various applications and it is a innovative nature never tried out earlier. This opens up a new avenue for different frequency ranges and new applications yet easily realizable with maximum advantages. In rectangular micro strip patch antennas [RMSA] with negative capacitance and inductance for bandwidth enhancement. Micro strip antennas have been found favorable because they are : 1. low profile 2. inexpensive to manufacture and compatible with monolithic microwave integrated circuit designs (MMIC). But they also suffer due to (a) low efficiency (b) Narrow impedance band width. Input impedance of an antenna tends to be sensitive to changes in frequency, hence deviation of the antennas input impedance from a real fixed value often determines the operational range of the antenna. Input impedance of MSDA depends on its with geometrical shape, dimension and the feed type. Therefore antenna input impedance is an important design parameter which controls the radiated power and the impedance bandwidth. In most application, bandwidth limitations occur due to an impedance mismatch. In the respect micro strip antenna have narrow bandwidth because of heavy reactance. As micro strip antennas have found wide variety of application areas, a number of techniques are evolved to improve its limited bandwidth. A straight forward application to improve the bandwidth is increasing the thickness of substrate supporting the micro strip patch. However limitation shall exist on the ability to effectively feed the patch on a thick substrate and the radiation efficiency can degrade with increasing substrate thickness. Techniques for overcoming this band limiting problems can be achieved by using parasitic terms elements, external matching and separating the feed and antenna. Proximity coupling method uses an impedance matching stub connected to the feed line achieving 13% bandwidth. A broadband rectangular patch antenna with a pair of vide slits at near the resonance frequency improves to 24% bandwidth. Bandwidth of 10-12% can be obtained using passive coplanar matching network. Impedance bandwidth of 60% was achieved using the L and T slots in the micro strip slot antenna, however gain and radiation pattern are distorted. Using aperture coupled antenna BW large than 20% and cross polarization level lower than -30 db can be achieved. Bandwidth of circular loop antenna can be significantly increased when one more parasitic loop in added.
Naiad : The Animating Spirit of Rivers and Streams

Distributed data-parallel computation has taken systems research by storm in recent years, with sharednothing architectures allowing tremendous scale. MapReduce [1] led with a simple programming model consisting solely of pairs of map and reduce operations. However, this simplicity exposed new design challenges, in particular the constraints of the MapReduce model introduce inefficiencies for a large class of programs. Since, research has focused on extending the expressiveness of the programming model without compromising on scalability or performance. Dryad [5] generalized the representation of the computation to a directed acyclic graph, while DryadLINQ [9] elevated the level of abstraction to a declarative subset of C#, enabling it to understand a program’s intent and thereby optimize its behavior substantially. Even so, many potentially data-parallel computations involve iteration or incremental computation, and efficiently executing programs written in this more expressive form remains a challenge. In Naiad, the underlying computation framework provides a mechanism for iteration and incremental update, while the language provides a structured means of expressing these computations. This yields both an expressive programming model and an efficient implementation. For instance, loops are cast as fixed-point computations in which the per-iteration execution time decreases—ultimately to nothing—as the computation converges, which compares favorably with existing systems that reprocess entire datasets in each iteration. A key characteristic of Naiad is that processing a set of updates takes effort proportional to the number of updates, rather than the size of the collection they update. This is easily done if the entire collection fits in memory, but the scale of data and shared-nothing architecture prevent this in traditional systems. Our observation is that, by expressing the computation declaratively, Naiad can identify and restrict the data that needs to be resident in memory at any time, and—in many cases—opportunistically retain and re-use existing in-memory objects from prior executions.
In birds, profilin-2a is ubiquitously expressed and contributes to actin-based motility

Profilins are small actin-binding proteins expressed in all eukaryotes. They are involved in the regulation of actin filament dynamics and various signalling pathways. The identification of a variety of profilin isoforms led to the assumption that there may be isoform-specific functions. In mammals, profilin-1 (PFN1) is ubiquitously expressed and engaged in the regulation of various motility processes in all cell types. By contrast, profilin-2a (PFN2a) is mainly restricted to neuronal cells and there is evidence that it is involved in neuronal plasticity and membrane trafficking. However, the PFN2a sequence is much better conserved than PFN1 throughout different phyla, indicating that its restricted expression and specialized function in mammals might be unique. Using isoform-specific antibodies, we show that the situation is different in birds. PFN2a is ubiquitously expressed in embryonic and adult chicken tissues at equal and frequently higher amounts than in mammals. Together with PFN1, it is present in cultivated chicken fibroblasts, but differentially localized. Knockdown experiments with miRNA reveal that PFN2a is involved in cell adhesion, spreading and locomotion, and silencing this isoform has pronounced consequences on these processes. Our results indicate profilin isoform expression is differentially regulated among vertebrates.