Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of Social Group Optimization to Economic Load Dispatch Problem

Economic load dispatch (ELD) problem is a common task in the operational planning of a power system, which requires to be optimized. This paper presents an effective and reliable social group optimization (SGO) technique for the economic load dispatch problem. The performance of the proposed algorithm is investigated and tested with two standard test systems, the IEEE 14 bus with five units, IEEE 30 bus with 6 units and IEEE 57 bus with 7 units. The final results obtained using SGO are compared with PSO, DE and the results are found to be encouraging.
Fitness of hatchery-reared turbot, Scophthalmus maximus L., for survival in the sea: first year results on feeding, growth and distribution

Three thousand reared turbot, Scophtha/mus maximus L. , juveniles with an initial wet weight of 158 g were extcrnally tagged using T-anehor tags and released in six areas of the Ría de Vigo (NW Spain). Although these fish had been eultured, the natural food of al! those reeaptured consisted basieal! y of fishes (96%), with a remarkable presence of sand eel, Ammodytes tobianus (L.) (78%), in the gut contents. Growth of the recaptured fish is similar to that reported in the area, increasing from 144g to a final mean weight of l'2kg 14 months later. The distribution of the fishes released at less than 25 m depth is local, coneentrating in the release area (within a radius of 5 nautical miles), but those released on the continental shelf at more than 50m depth (50-90m) show important migrations along the Galician eoast. The recapture percentage 1 year after their relcase is 9·5%, joining nowadays the cornrnercial fishery with a mean weight of about 1·3 kg and a reported reeapture periodieity of 2-4 individuals per wcek. The distribution , growth, feeding and survival in the sea reported in this paper makes the hatchery-reared turbot suitable for enhancement programmes in the Galieian rías.
Predicting Cervical Cancer using Machine Learning Methods

In almost all countries, precautionary measures are less expensive than medical treatment. The early detection of any disease gives a patient better chances of successful treatment than disease discovery at an advanced stage of its development. If we do not know how to treat patients, any treatment we can provide would be useful and would provide a more comfortable life. Cervical cancer is one such disease, considered to be fourth among the most common types of cancer in women around the world. There are many factors that increase the risk of cervical cancer, such as age and use of hormonal contraceptives. Early detection of cervical cancer helps to raise recovery rates and reduce death rates. This paper aims to use machine learning algorithms to find a model capable of diagnosing cervical cancer with high accuracy and sensitivity. The cervical cancer risk factor dataset from the University of California at Irvine (UCI) was used to construct the classification model through a voting method that combines three classifiers: Decision tree, logistic regression and random forest. The synthetic minority oversampling technique (SMOTE) was used to solve the problem of imbalance dataset and, together with the principal component analysis (PCA) technique, to reduce dimensions that do not affect model accuracy. Then, stratified 10-fold cross-validation technique was used to prevent the overfitting problem. This dataset contains four target variables–Hinselmann, Schiller, Cytology, and Biopsy–with 32 risk factors. We found that using the voting classifier, SMOTE and PCA techniques helped raise the accuracy, sensitivity, and area under the Receiver Operating Characteristic curve (ROC_AUC) of the predictive models created for each of the four target variables to higher rates. In the SMOTE-voting model, accuracy, sensitivity and PPA ratios improved by 0.93 % to 5.13 %, 39.26 % to 46.97 % and 2 % to 29 %, respectively for all target variables. Moreover, using PCA technology reduced computational processing time and increasing model efficiency. Finally, after comparing our results with several previous studies, it was found that our models were able to diagnose cervical cancer more efficiently according to certain evaluation measures.
Review on the 10-Year Development of Software Defined Networks

Software defined network (SDN) has existed and been under developing for more than a decade. It presents a centralised method to manage networks rather than the distributed traditional way. SDN has become a hot topic and along with such popularity, it has received both constructive advice and pragmatic criticism. This paper evaluates the development of SDN from its birth to recent critiques via reviewing important published papers in the history of SDN, including the invention of SDN, how SDN has been implemented and deployed widely, direction toward which OpenFlow may evolve and the reality of SDN against its hype. Rather than much of detailed elaboration, this paper mainly focuses on the impact on SDN brought by each paper's invention/conclusion.
The immature stages of Ablabesmyia (Sartaia) metica Roback, 1983 (Diptera: Chironomidae) with keys to subgenera

The monotypic subgenus Sartaia Roback, 1983 was erected based on the male of Ablabesmyia (S.) metica Roback, 1983. The larva and pupa of A. (S.) metica are described and figured below, and the male is redescribed. Larvae were collected in ponds in southeastern Brazil where they are associated with aquatic macrophytes. The larvae were reared in the laboratory to obtain associated material of pupa and adults. Keys to larvae and pupae of the four subgenera of Ablabesmyia are presented.
Mapping Creative Potentials For Developing Tourism Potentials in a Post Mining Area (Case study: Bantarkaret Village, Nanggung Sub District, Bogor Regency West Java Province)

The change of of Bantar Karet community livelihoods and public dependence on potential natural resources encourages the emergence of rural tourist areas. The development of village tourism area using a community-based tourism approach that is projected to be a new source of livelihood for the community. Socio-economic analysis of village tourism potentials aims to see the community's readiness that is analyzed socially and economically based on creative economic dimension. The method of this research uses a case study approach with mix methods. Quantitative approach was done through surveys to do geotagging and collecting secondary data using Google Earth. The qualitative approach in this study uses snowball and focus group discussions to gather data on the socio-economic potential of village communities.
Revision of the systematics of the genus Calliptamus Serville 1831, (Orthoptera: Acrididae: Calliptaminae) in Algeria using morphological, chemical, and genetic data

Summary. The genus Calliptamus contains swarming orthopterans that cause serious damage in Algerian agricultural systems. However, it remains difficult to identify species within this genus; a thorough understanding of the group’s systematics and the utilization of novel taxonomic criteria are needed. We used morphological analysis along with two other methods of species identification – chemotaxonomy with cuticular compounds and DNA barcoding involving the COI gene – to classify 81 individual grasshoppers collected at two different sites in the Sétif region (northeastern Algeria). The chemotaxonomic analyses yielded ambiguous results, but DNA barcoding allowed us to differentiate two Calliptamus species found in Algeria: Calliptamus barbarus (Costa 1836), and Calliptamus wattenwylianus (Pantel 1896). Several morphological criteria used in identification keys appear to reflect differences among morphotypes rather than differences between species, and their taxonomic specificity is not supported by the barcoding data. The number of spines on the hind tibia is the only morphological criterion that reflected genetic differences between species; it is thus considered to be a taxonomically useful feature for identifying species in this genus.
Non-Typhoidal Salmonella Meningitis: A Commentary of a Case Report

Salmonella is a gram negative bacilli with two main types Salmonella typhi and Salmonella Non-Typhi (NTS). Each type has further subtypes and causes various diseases. Non-typhoidal salmonella are an important cause of self-limiting diarrheal illness but it may also present with focal septic infections, bacteraemia and rarely meningitis and osteomyelitis
Acetylcholinesterase in Invertebrate Fauna as a Biomarker for Pesticide Pollution

Acetylcholinesterase (AChE) is a key enzyme in the nervous system, terminating nerve impulses by catalyzing the hydrolysis of neurotransmitter acetylcholine. AChE is the target site of inhibition by organophosphorus and carbamate pesticides. In particular, organophosphorous pesticides inhibit the enzyme activity by covalently phosphorylating the serine residue within the active site group. They irreversibly inhibit AChE, resulting in excessive accumulation of acetylcholine, leading to the hyperactivities and consequently paralysis of the neural and muscle system. Therefore, monitoring of AChE inhibition is widely used as a biomarker of organophosphorous and carbamate exposure either in aquatic or terrestrial environments. Recently, new insights are emerging in the use of AChE as biomarker in environmental biomonitoring. A number of important contaminants other than carbamate and organophosphorus pesticides have recently been shown to have anticholinesterase properties, including heavy metals, detergents, hydrocarbons, and herbicides. It is also worth noting that not only different compounds may reach levels of significance in terms of anticholinesterase effect, but, moreover, combinations of different chemical classes were shown to be highly synergistic in their ability to inhibit AChE activity.
Therapeutic termination of pregnancy with complete placenta praevia in the second and third trimesters

Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China; Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China These authors contributed equally to this work. Correspondence to: Bing Peng. No. 20, Section 3, Ren Min Nan Lu, Chengdu, Sichuan 610041, China. Email: pengbin-a111@163.com; wltmh2010@163.com.
On Autistic Interpretations of Occam’s Razor

After the initial relevance of deduction in AI, nowadays, inductive learning, and all its varieties (abductive reasoning, reasoning by analogy, connectionism, ILP, grammatical inference, HMM, EBR, etc.), are beginning to play a more central and still agglutinative role in the proper subset of AI devoted to make intelligent machines. The issue has been much clearer in discovery science, where induction has been the prominent inference process. In this trend, new unified frameworks for understanding reasoning have been appearing, with the aim of integrating all the different inference mechanims [25]. In particular, a radical approach has been undertaken by Wolff, with the claim that “all kinds of computing and formal reasoning may usefully be understood as information compression by pattern matching, unification and search” [46]. In this paper, we will discuss critically a very influential and now classical issue in this line, which is based on the view of unsupervised learning as compression [38], its famous operative Minimum Description Length (MDL) Principle [32] and, mainly, its formal justification. The MDL [32] principle is closely related with the Minimum Message Length (MML) principle [44] and Maximum Likelihood Estimators, but the idea is formally older [38]. However, they all are “fresh interpretations” [15] under Algorithmic Information Theory of a much older idea attributed to William of Ockham 1290? -1349? which is usually known as the Occam’s Razor. The principle was rejected by Popper because he said that there is no objective criterion for simplicity. But Algorithmic Complexity C(x) or Kolmogorov Complexity K(x) [24] is an objective criterion for simplicity. This is precisely what R.J.Solomonoff proposed as a perfect theory of induction [43]. Algorithmic Complexity inspired J. Rissanen in 1978 to use it as a general modelling method, giving the popular MDL principle [32]: The best model to explain a set of data is the one which minimises the sum of: the length, in bits, of the
Validation of Bismuth-Containing Indicator Media for Predicting H2S-Producing Potential ofSaccharomyces cerevisiaeWine Yeasts Under Enological Conditions

Hydrogen sulfide (H 2 S) production by strains of Saccharomyces cerevisiae was compared using bismuth-containing indicator media and fermentations in model grape juice. Discoloration of yeast colonies on indicator media resulting from the production of H 2 S was essentially independent of nitrogen, sulfite, and glucose levels or the availability of oxygen. Discoloration on bismuth-containing test media did not correlate with H 2 S production in a complete chemically-defined grape juice medium in which only trace amounts of H 2 S were produced. By comparison, discoloration on bismuth-containing test media correlated with H 2 S production developing after nitrogen depletion in a nitrogen-limited liquid medium. It is proposed, therefore, that intensity of discoloration on bismuth-containing indicator media is an indication of the maximum genetically determined sulfite reductase activity for a given strain. While a high sulfite reductase activity does not necessarily predispose a strain to excessive H 2 S production in complete media, the indicator-media test does appear to predict a high degree of H 2 S production following nitrogen starvation in liquid media. This screening protocol is therefore valid for assigning the H 2 S-producing potential of a strain under permissive conditions. In this way, strains identified as high H 2 S producers can be avoided for the fermentation of low-nitrogen grape juices or where nitrogen supplements can not be made.
FORMAL EMPLOYEES IN THE CEARS TEXTILE INDUSTRY: EMPIRICAL STUDY OF SOCIOECONOMIC INSERTION IN MICRO AND SMALL COMPANIES VIS-A-VIS AVERAGE AND LARGE COMPANIES- 2005/2010

Socioeconomic Insertion in Micro and Small Companies Vis-à-Vis Medium and Large Companies-2005/2010. Magazine of Entrepreneurship and Management of Micro and Small Enterprises V.3, No1, p.141-166 Jan./Mar.2018. Article received on 2/21/2018. Last version received on 03/04/2018. Approved on 04/05/2018. FORMAL EMPLOYEES IN THE CEARS TEXTILE INDUSTRY: EMPIRICAL STUDY OF SOCIOECONOMIC INSERTION IN MICRO AND SMALL COMPANIES VIS-A-VIS AVERAGE AND LARGE COMPANIES2005/2010
Developing Correctional Facilities For Female Juvenile Offenders: Design and Programmatic Considerations

G irls represent a challenge for the juvenile justice system. Their unique needs have to be considered in all aspects of facility design and operations. While much work has been done to explain what femaleresponsive programming looks like in a variety of settings, little has been done to explain how that programming might affect the design of juvenile residential facilities themselves. This article on female juvenile offenders is an effort to show how the programmatic needs of girls can translate into design concepts for more effective and responsive girls facilities and is based on a review of research as well as the authors’ first-hand experience and interviews with staff and residents of juvenile correctional facilities.
The use of video imagery to gather biological information at deep-sea hydrothermal vents

and the collection of quantitative biological samples is often constrained by both technology and time. Video imagery is the most reliable method for obtaining data that we have while exploring the deep-sea hydrothermal vent environment. Beside the fact that it is continuously recorded, video imagery rapidly covers large surfaces, replication is easy to obtain and it is non-destructive for the ecosystem. Some studies have shown that submersible intervention and sampling can have a significant impact on faunal dynamics and fluid flow at vents (Tunnicliffe, 1990; Sarrazin et al.; 1997) modifying naturally occurring patterns. This paper presents three different approaches developed to extract biological data from systematically collected video imagery at different scales at deep-sea hydrothermal vents. At the scale of a high-temperature hydrothermal edifice, video imagery was used to map community distributions as well as environmental changes occurring during a time period of years (Sarrazin et al., 1997). At a smaller spatial scale, digitized video frames were used to determine the composition of mega/macrofaunal assemblages (Sarrazin et al., submitted) and also, to estimate sampled surfaces (Sarrazin and Juniper, submitted). We also review the limitations associated with the use of video imagery. If systematically gathered, this method has a lot of potential to provide ecological information to be tested by limited in situ sampling.
Effects of Diacylglycerols on Lipid Metabolism in Human

再構成血清トリアシルグリセリン (TG) 濃度の変動率や種々の脂質代謝物に関する生化学的指標に対する食事性ジアシルグリセリン (DG) の影響について研究を行った。 11h絶食した17人の健常人に, DGまたはTGエマルションを, 体重60kg当たり44gの脂質量となるように, 各々単回摂取させた。 試験は, クロスオーバー法によって行った。 血清TG値は, エマルション摂取後4hまで上昇するが, その後下降し, 摂取後8hでは初期値に達した。 DG摂取後6及び8h後の血清TGの変動率は, TG摂取後と比較して, 有意に低下していた。 再構成TGの血清滞留量に対するDGの抑制効果は, 初期TG値が高い被験者ほど明白であった。 この抑制効果が認められた被験者において, キロミクロンやVLDLに含有され, 末しょう (梢) 組織のリポプロテインリパーゼを活性化する血清アポタンパクCII濃度は, DG摂取後で, 有意に低下していた。 DGの代謝物に関しては, 脂肪酸のβ酸化産物である3-ヒドロキシ酪酸の変動率は, DG摂取後の血清中に上昇する傾向にあった。 これらの結果から, DGは, エネルギーとして利用されやすく, そのため, ヒトにおいて, TGと比較して体脂肪として蓄積しにくいものと考えられた。
International Journal of Social Science and Economic Research

This paper examines the effectiveness of price based monetary policy instruments on inflation in Nigeria. Specifically, it: examines the response of inflation to the innovations from price based monetary policy anchors; and measures the extent of decomposition of price variables to inflation rate in Nigeria. The study uses monthly series of commonly used monetary policy price variables: Monetary Policy Rate (MPR), Exchange Rate, Interest rate (lending rate), Treasury bill rate and Cash Reserve Ratio (CRR). The findings of the paper showed that among the price variables used by the policymakers, the exchange rate is the most effective and the least effective is the Monetary Policy Rate. In order of their effectiveness on inflation, the cash reserve ratio stands second to the exchange rate, followed by the Treasury bill rate, and interest rate (lending rate). The effectiveness of the exchange rate reflects the import-dependent nature of Nigerians on foreign-produced consumer and capital goods whose prices transmit into domestic prices in the economy.
COMPUTATIONAL MODELING OF RESIDUAL STRESSES IN SIMULTANEOUS TURNING PROCESS

Residual stresses play a vital role in determining the quality of the turned components. Numerical modelling of residual stresses provides a deep insight of the process mechanism and increases the productivity by conserving time, material and manpower. In simultaneous turning process, two tools are engaged simultaneously to perform the turning process. In this paper numerical investigation was performed to determine the effect of chamfer angle and chamfer width for various feeds on the surface residual stresses. The numerical simulation was done using commercially available software ABAQUS 6.14. The work and tool material are AISI 4340 steel and carbide. CPE4RT four node plane strain element was used for the analysis. A Johnson-Cook damage criterion was employed for the chip separation. The friction between the chip and the cutting tool was based on penalty contact approach. The coefficient of friction was taken as 0.3. With the increase in chamfer angle and chamfer width, the surface residual stresses increases. This is attributed to the increase in cutting forces and plastic strain. At constant chamfer angle, with increase in cutting speed the cutting forces remain constant for both the cutting tools. The same trend was also observed for the chamfer width. On the whole, the usage of chamfered cutting tools proved to be beneficial in imparting higher compressive residual stresses in the simultaneous turning process.
Streamlining DevOps automation for Cloud applications

There are closer links between DevOps and cloud computing. DevOps aims to optimize progress for user specifications to be swiftly incorporated in application output, while the cloud enables automated supply and scaling to manage application changes. IT experts in cloud computing sometimes make errors that they could easily prevent. The question is that best practices are still undefined. These fields are very fresh, but the problem can be more about people than technology, and the challenge is often more difficult for people to overcome. DevOps transforms the face of IT processes and continuously hear new tools and features unveiled by different companies to boost the DevOps pipeline. Electric Cloud is a well-known leader in automation and ongoing delivery of DevOps and recently released a new ElectricFlow version which gives programmers a new data-driven way to onboard apps. The consumerization of IT improves job satisfaction and managing efficiency by encouraging workers to bring their own" goods into the workplace. This streamlines the way activities are conducted and offers flexibility in updates and launches in the toolchain. "Today, ElectricFlow is allowing CD's 'consumerization' to introduce organizations and workers to secure and well-controlled DevOps toolchain, introducing procedures, trends, methods, resources, and other techniques. DevOps and cloud computing do not exclude each other, but from a lay person's viewpoint, the relationship between them is often unclear and confusing. Although the technologies and infrastructure of cloud computing are concerned, DevOps is more concerned with processes and process enhancement. Yet in any organization's journey towards successful digital transformation, both DevOps and cloud computing are important.
In vitro selection for Fusarium wilt resistance in banana. I. Co-cultivation technique to produce culture filtrate of race 1 Fusarium oxysporum f. sp. cubense

Introduction. La selection de mutations in vitro combinee a l'utilisation d'une toxine determinee est une technique interessante pour produire des plants resistants aux maladies, chez les especes a reproduction sexuee difficile. La technique de coculture utilisee pour produire des filtrats bruts efficaces a partir de la culture d'un champignon a ete developpee pour etre exploitee lors de la selection in vitro de mutants chez le bananier. Materiel et methodes. Du Fusarium oxysporum f. sp. cubense, race 1, a ete cocultive avec des masses compactes et blanchâtres issues de la culture de meristemes de tige de bananier en proliferation, identifiees comme des amas de bourgeons multiples. Des filtrats bruts du milieu de culture ont ete obtenus par filtrage au travers d'une membrane a pores de 0,45 μm. Des amas de bourgeons multiples de varietes de bananier resistantes et sensibles au wilt ont ete cultives sur un milieu contenant les filtrats obtenus afin d'evaluer la toxicite des toxines. Resultats et discussion. Les filtrats bruts obtenus a partir de coculture ont montre une specificite de la toxicite du champignon sur les tissus du bananier plus elevee que celle observee a partir de filtrats issus de culture individuelle. La variete de bananier utilisee pour l'obtention des amas de bourgeons multiples influe fortement sur la technique de coculture. La coculture du champignon avec des amas de bourgeons multiples de la variete Maca sensible au fusarium a produit des filtrats qui ont fortement affecte cette variete sensible (Maca) et moins nui a la variete resistante (Nanicao). Les resultats ont montre que les filtrats bruts devraient etre utilises pour la selection in vitro de plants resistants a la maladie du wilt.