Miracle-dz/UniFAR-FTUs huggingface dataset:
Unsupervised Deep Learning for Optimizing Wireless Systems with Instantaneous and Statistic Constraints

Deep neural networks (DNNs) have been introduced for designing wireless policies by approximating the mappings from environmental parameters to solutions of optimization problems. Considering that labeled training samples are hard to obtain, unsupervised deep learning has been proposed to solve functional optimization problems with statistical constraints recently. However, most existing problems in wireless communications are variable optimizations, and many problems are with instantaneous constraints. In this paper, we establish a unified framework of using unsupervised deep learning to solve both kinds of problems with both instantaneous and statistic constraints. For a constrained variable optimization, we first convert it into an equivalent functional optimization problem with instantaneous constraints. Then, to ensure the instantaneous constraints in the functional optimization problems, we use DNN to approximate the Lagrange multiplier functions, which is trained together with a DNN to approximate the policy. We take two resource allocation problems in ultra-reliable and low-latency communications as examples to illustrate how to guarantee the complex and stringent quality-of-service (QoS) constraints with the framework. Simulation results show that unsupervised learning outperforms supervised learning in terms of QoS violation probability and approximation accuracy of the optimal policy, and can converge rapidly with pre-training.
Production and Quality Evaluation of Cookies from Wheat, Defatted Peanut and Avocado Composite Flour

In this study, carried out at Makurdi Nigeria, peanuts and avocado pulp were processed into flours and blended with refined wheat flour in proportions 100:0:0, 95:5:0, 90:5:5, 85:10:5, 80:10:10 and 75:15:10. The functional properties of the flour blends were determined. Cookies were made using the creaming method from these flour blends with one hundred per cent wheat flour serving as control. The physico-chemical and sensory properties of cookies from wheat/defatted peanut/avocado flour were determined using standard analytical methods. The functional properties of the flour blends increased with increasing substitution of wheat flour with defatted peanut flour and avocado flour. The enriched cookies were found to have higher protein, energy, vitamin and mineral content as compared to refined wheat cookies. The protein content increased from 15% in the control sample to 26.64% in the sample F which is the sample with the highest substitution of wheat flour. Magnesium content increased from 173.37 mg/100 g in the control sample to 221.36 mg/100 g in sample F. There was no significant difference in the dietary fibre content of the enriched cookies as compared to the control. Substitution with peanut flour and avocado flour did not alter the physical properties of the cookies. The sensory scores for all the cookies enriched with defatted peanuts flour and avocado flour were above average 4.5. Sample C, with 5% peanut flour and 5% avocado flour had the best sensory attributes among the supplemented cookies at 5% level of significance and compared favourably with the control cookies. Thus cookies made from wheat, defatted peanut and avocado composite flour at an optimal substitution level of 90;5;5 can be regarded as a suitable balanced meal.
Classification des tensioactifs et huiles biocompatibles par mesure de la température d’inversion de phase (PIT) et comparaison des diagrammes de phases

La balance hydrophile-lipophile de tensioactifs et l‘hydrophobe de la phase huileuse sont des parametres cruciaux dans la formulation des emulsions et des microemulsions. L'influence de l'addition d'alcools, des matieres premieres de parfumerie et d'agents tensioactifs sur la temperature d'inversion de phase (PIT) d'une emulsion de reference C10E4/octane/eau (fw = 0,5) a ete etudiee. Les tensioactifs purs du type alcool polyethoxyles (CiEj) montrent une variation lineaire de la PIT avec la fraction molaire x2 et peuvent etre utilisees comme standards pour calibrer une echelle en termes de la pente dPIT/dx2. Ce parametre conduit a une classification simple des tensioactifs par rapport au C10E4. Les valeurs positives et negatives correspondent a des tensioactifs plus ou moins hydrophiles par rapport au C10E4, respectivement. La comparaison des tensioactifs ioniques et non-ioniques ayant la meme chaine dodecyle permet le classement de differentes tetes hydrophiles. Plusieurs tensioactifs utilises dans l‘industrie cosmetique, pharmaceutique et alimentaire et de nouveaux tensioactifs biosources ont ete etudies. Pour evaluer l‘hydrophobie des esters, une approche differente est utilisee en etudiant le comportement de phase des systemes C10E4/ester/eau. Quinze esters ont ete etudiees et leurs nombre de carbone equivalent (EACN) ont ete determinees a partir de la temperature T*de la queue du diagramme de fish. L'influence de la structure chimique des monoesters sur l'EACN a ete rationalise en termes la position du groupe ester et le nombre total de carbone, et s'explique par l'influence de ces huiles sur le parametre d‘empilement "effectif" dans la couche interfaciale.
Deciphering the role of reproductive investment, pollination success and predispersal seed predation on reproductive output in Juniperus thurifera

ABSTRACT Background: Plant reproductive output is determined by a complex set of factors including resource availability, pollination success and pre-dispersal predation. Disentangling the relative contribution of each factor is critical to underpin the factors determining plant fitness. Aims: To unravel the relative contributions of initial reproductive effort, pollination success and pre-dispersal seed predation to plant reproductive success in the fleshy-fruited, wind-pollinated Juniperus thurifera. Methods: We conducted an experiment including pollen addition and pesticide application on 40 female juniper trees for 20 months. Flower production was used as a proxy for resource levels. Results: Main fruit loss occurs in early stages of fruit development. Initial flower number affected fruit and seed set by (a) increasing the rate of fruit formation and the number of viable seeds within fruits and (b) modifying the incidence of low-mobile predators through a satiation effect. Pollination did not limit fruit set, although hand pollinated fruits had more viable seeds. Pre-dispersal seed predation by different arthropods was critical in defining final fruit set. Conclusions: Fruit set in J. thurifera was determined by the interaction of initial reproductive effort and pre-dispersal seed predation. Pollination was not a limiting factor in this relatively dense juniper forests during a year of high flower production.
Mixed transmission modes promote persistence of an emerging tick‐borne pathogen

Pathogens utilize different modes of transmission to maximize transmission success. In vector-borne disease systems, both vertical and horizontal modes of transmission are common, but the relative contribution of these modes is not well understood but may be determined by host genetics, physiology, or environmental conditions. This study focuses on an emerging tick-borne relapsing fever pathogen, Borrelia miyamotoi , that can be transmitted both vertically and horizontally. The enzootic cycle of this pathogen has not been described in the western USA where it was recently found in the tick species, Ixodes paci ﬁ cus . Our ﬁ eld surveys found that all three life stages of I. paci ﬁ cus carry the pathogen, and therefore, all stages pose some level of disease risk to humans. The prevalence of infection increases with each life stage suggesting that horizontal transmission is important in the persistence of this pathogen in the enzootic cycle. In support of this ﬁ nding, we found that small mammal hosts that are frequently parasitized by juvenile stages of I. paci ﬁ cus were infected with B. miyamotoi and may therefore function as a source of horizontal transmission and enzootic maintenance of this disease. Our data show that in the western USA B. miyamotoi is maintained in natural populations by both transovarial transmission and transmission from blood meal hosts and that synchronous phenology of juvenile stages of I. paci ﬁ cus may facilitate the transmission dynamics of B. miyamotoi and other vertically transmitted, vector-borne pathogens.
Newborn Head Trauma and Nursing Approach

Trauma ranks first among the causes of child deaths. Head trauma is an important health problem in childhood and the most common cause of mortality and morbidity in that period. It’s more common in infants, adolescents and boys. Weak head control in children and a larger head than the body increases the risk of head trauma. Therefore, nurses should be actively involved and take appropriate actions in protection of children from head injuries and post-trauma nursing care. Child abuse, especially shaken baby syndrome, is the leading cause of head trauma in children under one year of age. This review addresses the nursing care plan of pediatric patients suffering from head injury.
Influence of Industry and Firm Characteristics on Share Price Movement in Nairobi Securities Exchange, Kenya

The study examined the influence of firm characteristics on share price movement (SPM) at Nairobi Securities Exchange, Kenya. The features selected for the study were firm size, product variety, firm age, Earnings per Share (EPS), ownership and corporate social responsibility (CSR). From the population of sixty-seven listed firms at the bourse as of December 2018, a purposive sample of 47 firms was extracted from the Main Investment Market Segment (MIMS). Secondary data for the period 2000-2018 was collected from the listed company’s annual financial statements, company websites, the Capital Markets Authority and NSE Handbooks. The relationship among firm size (using sales revenue as proxy), product variety, age of the firm, EPS, ownership and CSR on SPM was determined from the unbalanced panel data comprising 777 observations. Econometric statistical analysis tools were used on ordinary least squares model that possessed explanatory power 54.7% for the SPM. Firm size (ρ=0.0384), ownership (ρ=0.034) and product variety (ρ=0.043) were significantly related to share price movements, whereas firm age, EPS and CSR impact were insignificant. The association of the combined predictors for each separate sector to SPM was also examined and found to be significant in the sectors of construction allied (ρ=0.024), telecommunications and technology (ρ=0.0323), investments (ρ=0.037) and commercial services (ρ=0.041). However, agriculture, automobiles, banking, energy, manufacturing and insurance sectors were statistically insignificant with ρ≥ 0.05.
Histological evidences of diabetic kidney disease precede clinical diagnosis

In the absence of a histhological diagnosis, persistent albuminuria is globally accepted as the main diagnostic criteria for diabetic kidney disease. In the present retrospective study, we evaluated data from an Italian cohort of 42 diabetic deceased donors (mainly type 2 diabetes). Using kidney biopsies obtained at time of donation to evaluate single or double allocation based on Karpinski score, we determined the prevalence of histological lesions attributable to diabetes. All 42 donors presented with normoalbuminuria and an estimated Glomerular Filtration Rate (CKD-EPI) > 60 ml/min/1.73m2. Of the 36 patients with available kidney biopsy, one was non interpretable and 32 had histopathological lesions consistent with diabetic kidney disease and encompassing all histological classes. Thus, we found a relatively high proportion of histologically proven diabetic kidney disease that was clinically undiagnosed as none of the patient had significant albuminuria and eGFR <60 cc/min/1.73 m2. Our data support the need to implement routine kidney biopsies in normoalbuminuric diabetic subjects in early stages of Chronic Kidney Disease. As others have shown that histological lesions associated with diabetic kidney disease predict disease progression, such strategy may help to risk stratify patients and may guide therapeutic decisions at early disease stages.
Towards a phylogeny of Cyclops (Copepoda): (in)congruences among morphology, molecules and zoogeography

The phylogeny of Cyclops (~30 spp.), a predominantly Palearctic cold‐adapted genus, was reconstructed based on morphological and molecular characters. The morphological analysis used extensive taxon sampling from the entire Holarctic range of the genus and included 53 morphological characters. Polymorphic traits were coded by the “unordered,” “unscaled” and “scaled” methods; maximum parsimony criterion was applied in tree building. Molecular phylogenetic reconstructions utilized partial nuclear 18S and 28S ribosomal genes, mitochondrial cytochrome oxidase I and complete internal transcribed spacer regions I and II, albeit with limited taxon sampling. Bayesian inference and maximum likelihood were used in these tree reconstructions. The molecular characters were used both in combination with morphology and as an independent test of the basal relationships inferred from morphology. Monophyly of the genus received strong support in both the morphological and molecular phylogenies; the basal relationships remain unresolved. The morphology‐based phylogenies, along with the geographic distribution patterns and ecological traits, supported monophyly of the ankyrae−ladakanus clade, scutifer‐clade (C. scutifer, C. jashnovi, C. columbianus), kolensis‐clade (C. kolensis, C. kikuchii, C. vicinus, C. furcifer, C. insignis, C. alaskaensis), abyssorum‐clade (C. abyssorum s. str., C. abyssorum larianus, C. ricae, C. sevani) and divergens‐clade (South Carpathian “Cyclops sp. Y,” C. mauritaniae, C. divergens, C. bohater, C. lacustris). Relationships among European and North American populations of C. scutifer and C. columbianus based on partial sequences of the 12S mitochondrial gene show C. scutifer to be paraphyletic, suggesting two independent invasions into North America via the Bering Land Bridge from Siberia to Alaska.
Production performance and physiology response of Anguilla bicolor bicolor rearing with a wet, damp and dry system

Aquaculture is is often constrained by the availability of water, both in quality and quantity. The aim of this study was to determine the optimum maintenance system of elver (Anguilla bicolor bicolor) on a wet, moist and dry system through production performance studies and physiological responses. The research was conducted from August to September 2018 at the Production Technic and Management of Aquaculture Laboratory, Department of Aquaculture, IPB University. A completely randomized design with 5 treatments and 3 replications was used in this study, namely treatment with high water wet system 0% of body height (A), high water wet system 50% of body height (B), high water wet system 100% of body height (C), moist system (D), and dry system (E). The body weight of elver was 18.80 ± 0.62 g which derived from fish cultivator in Bogor, West Java. Fish was fed 3 times per day at satiation with commercial feed which a protein content of 50%. Results showed that treatment C was the best result with survival rate of 100%, the specific growth rate of 0.45% day -1, the absolute growth rate of 0.07 g day 1 and feed conversion ratio of 6.57. The analysis of variance showed that the treatments showed the significant effect (P <0.05). The blood glucose value closest to the eel condition before treatment was found in the treatment C.
Gene expression data analysis using novel methods: Predicting time delayed correlations and evolutionarily conserved functional modules

Declaration I hereby declare that the dissertation entitled " Gene expression data analysis using novel methods: Predicting time delayed correlations and evolutionarily conserved functional modules " submitted to the Department of Biology, Philipps-Universität, Marburg is the original and independent work carried out by me under the guidance of the PhD committee, and the dissertation is not formed previously on the basis of any award of Degree, Diploma or other similar titles. (Date and Place) (Rajarajeswari Balasubramaniyan) On action alone be thy interest, Never on its fruits. Let not the fruits of action be thy motive, Nor be thy attachment to inaction. Synopsis I Synopsis Microarray technology enables the study of gene expression on a large scale. One of the main challenges has been to devise methods to cluster genes that share similar expression profiles. In gene expression time courses, a particular gene may encode transcription factor and thus controlling several genes downstream; in this case, the gene expression profiles may be staggered, indicating a time-delayed response in transcription of the later genes. The standard clustering algorithms consider gene expression profiles in a global way, thus often ignoring such local time-delayed correlations. We have developed novel methods to capture time-delayed correlations between expression profiles: (1) A method using dynamic programming and (2) CLARITY, an algorithm that uses a local shape based similarity measure to predict time-delayed correlations and local correlations. We used CLARITY on a dataset describing the change in gene expression during the mitotic cell cycle in Saccharomyces cerevisiae. The obtained clusters were significantly enriched with genes that share similar functions, reflecting the fact that genes with a similar function are often co-regulated and thus co-expressed. Time-shifted as well as local correlations could also be predicted using CLARITY. In datasets, where the expression profiles of independent experiments are compared, the standard clustering algorithms often cluster according to all conditions, considering all genes. This increases the background noise and can lead to the missing of genes that change the expression only under particular conditions. We have employed a genetic algorithm based module predictor that is capable to identify group of genes that change their expression only in a subset of conditions. With the aim of supplementing the Ustilago maydis genome annotation, we have used the module prediction algorithm on various independent datasets from Ustilago maydis. The predicted modules were cross-referenced in various Saccharomyces cerevisiae datasets to check its evolutionarily conservation between …
Identification of the Calmodulin-dependent NAD+ kinase sustaining the elicitor-induced oxidative burst in plants

NADP(H) is an essential cofactor ofmultiple metabolic processes in all living organisms. While NADP+ production in plants has long been known to involve a Calmodulin (CaM)/Ca2+-dependent NAD+ kinase, the nature of the enzyme catalyzing this activity has remained enigmatic, as well as its role in plant physiology. Here, we identify an Arabidopsis P-loop ATPase (Atlg04280) with a bacterial type II zeta toxin domain, that catalyzes NADP+ production upon binding of CaM/Ca2+ to a domain located in its N-terminal region. The encoded protein (NADKc-1) is associated with the mitochondria and amplifies the elicitor-induced oxidative burst in Arabidopsis leaves representing the missing link between calcium signalling and metabolism in the response to pathogen elicitor. By analysis of various plants and algae, we show that NADKc is well conserved in the plant lineage and present in basal plants. Our data allows proposing that the CaM-dependent NAD kinase activity is only found in photosynthetic species carrying NADKc-1 related proteins, which would represent the only proteins harboring CaM-dependent NAD kinase activity in plants and algae.
Scolicidal Effects of Barberry (Berberis vulgaris), Wild Rue Seed (Peganom harmala) and Shirazian Thyme (Zataria multiflora) Extracts on Protoscolices of Hydatid Cysts

Background: Surgery is one of the most common strategies to treat hydatidosis reserved as a complementary treatment with chemical agents. Due to low efficacy and the adverse effects of these chemical agents, it is necessary to develop a new and effective scolicidal agent to prevent the recurrence of hydatidosis after surgery. Objectives: The current study aimed at investigating the scolicidal effects of Berberis vulgaris, Peganom harmala, and Zataria multiflora methanolic extracts on protoscolices of hydatid cyst. Methods: Protoscolices were aseptically obtained from sheep livers infected with hydatid cyst in Hamadan slaughterhouse (Hamadan, Iran). After methanol extraction of herbs, different concentrations of extracts were used in various exposure time for mortality rate assay of protoscolices in laboratory. Results: The obtained results showed that various concentrations of B. vulgaris and Z. multiflora extracts could kill 100% of protoscolices after five minutes of exposure and the mean of mortality rate of protoscolices was remarkably higher in the experiment group comparison with that of the control group (P 0.05). Conclusions: The current study findings showed that B. vulgaris and Z. multiflora extracts can be natural sources to develop new scolicidal agents used in hydatid cyst surgery to prevent recurrence of the disease. However, the in vitro examination revealed that the P. harmala extract had no strong scolicidal activities.
Implementasi Algoritma K-Nearest Neighbor Berbasis Forward Selection Untuk Prediksi Mahasiswa Non Aktif Universitas Dian Nuswantoro Semarang

Masalah yang muncul berkaitan dengan status mahasiswa salah satunya adalah status mahasiswa yang non aktif. Beberapa faktor penyebab status non aktif tersebut diantaranya adalah faktor ekonomi, kemampuan akademik, dan lain â€“ lain. Manajemen perguruan tinggi perlu mengidentifikasi serta melakukan tindakan terhadap mahasiswa yang mempunyai status â€œtidak diharapkanâ€ untuk mengetahui faktor munculnya masalah tersebut perlu dilakukan evaluasi saat pertengahan masa studi mahasiswa guna mencegah sedini mungkin munculnya mahasiswa yang diindikasi terdapat status tidak aktif untuk mengurangi dampak yang ditimbulkan akibat status non aktif tersebut. Pada penelitian ini akan dilakukan prediksi mahasiswa non aktif menggunakan algoritma klasifikasi K-Nearest Neighbor yang dikombinasikan dengan metode forward selection untuk seleksi atribut yang diharapkan mampu meningkatkan nilai akurasi pada proses klasifikasi. Nilai akurasi yang didapatkan pada algoritma K-Nearest Neighbor sebesar 96.43% sedangkan pada algoritma K-Nearest Neighbor berbasis Forward Selection sebesar 97.27%. Â Kata Kunci: Mahasiswa Non Aktif, Forward Selection, K-Nearest Neighbor