Frequency Of Different Classes Research Articles

ImFTP: Deep imbalance learning via fuzzy transition and prototypical learning

Although many methods have been proposed for tackling the class-imbalance problem, they still suffer from the insufficient feature representative capability and the overfitting problem. This paper proposes a new deep imbalance learning approach based on the Fuzzy set Theory and the Prototypical learning mechanism, abbreviated as imFTP for short, which consists of an adaptive smooth sampling module, a self-learnable prototypical learning module, and a fuzzy transition module. The adaptive smooth sampling module adaptively adjusts the sampling frequency of different classes to ensure their adequate opportunity to participate in the training process, which can mitigate the overfitting problem. The self-learnable prototypical learning module devises a clustering distance based Softmax cross-entropy loss and an intra-class clustering loss to improve the feature representation and discrimination capability of the model. The fuzzy transition module utilizes the fuzzy set theory to transform sample features effectively, which further enhances the feature representation capability of the model, meanwhile alleviates the overfitting problem. Experimental results on 15 benchmark datasets demonstrate that our method outperforms the best competitor by more than 3% in terms of the Macro-F1 metric, which is very significant.

Dry spells in a semi-arid region of Brazil and their influence on maize productivity

Maize production (Zea mays) under rainfed conditions, although risky in semi-arid areas, is still widespread. In theses areas, rainfall events are concentrated over a short, irregular and discontinuous period, so that understanding these events has great relevance to the anning and agricultural management of maize. This study sought to understand the relationship between the frequency of different classes of dry spells formed during the rainy season and the occurrence of dry, normal and wet years in the semi-arid region. Also analysed was whether this same frequency is influenced by the incidence of long-duration El Niño and La Niña phenomena, and how all these factors interfere with maize productivity. For this, a trend analysis was then carried out between the frequency of dry spells, considering years classified as dry, normal and wet, and whether this number is also influenced by the occurrence of long-duration El Niño and La Niña events, and how the classes and temporal occurrence of dry spells influence maize productivity within the study region. The results show that crop achieving good results for dry spells of up to 15 days, after which productivity falls significantly. The greatest number of dry spells was found in regions of the semi-arid sertão that are further inland, especially more prolonged dry spells. Throughout the region, the highest probability of occurrence of dry spells is during the first and last month of the rainy season, with a high concentration of dry spells which vary from 6 to 20 days with no rain, indicating the need supementary irrigation, anting nearer the end of the season in years of normal or wet conditions, reducing the chances of the crop suffering from water stress.

Prevalence of resistance genes and antibiotic resistance profile among Stenotrophomonas maltophilia isolates from hospitalized patients in Iran

Stenotrophomonas maltophilia has emerged as an important nosocomial pathogen. Treatment of S. maltophilia infections is difficult due to increasing resistance to multiple antibacterial agents. In this 12-month cross-sectional study, from 2017 to 2018, 117 isolates were obtained from different clinical sources and identified by conventional biochemical methods. Antibiotic susceptibility tests were performed according to CLSI 2018. Minocycline disk (30 μg) and E-test strips for ceftazidime, trimethoprim-sulfamethoxazole and chloramphenicol were used. PCR confirmed isolates. The frequency of different classes of integrons (I, II) and resistance gene cassettes (sul1,sul2, dfrA1, dfrA5 and aadB) were determined by PCR. The results showed the highest frequency of resistance to chloramphenicol and ceftazidime with 32 cases (27.11%). Among strains, 12 cases (10.25%) were resistant to trimethoprim-sulfamethoxazole (the lowest frequency of resistance), while 19 (16.1%) isolates were resistant to minocycline. Frequency of sul1, int1, aadB, sul2, dfrA5 genes were 64 (55.08%), 26 (22.3 %), 18 (15.25%) and 17 (14.4%), 14 (11.86%), respectively. int2 and dfrA1 were not detected. Although we have not yet reached a high level of resistance to effective antibiotics such as trimethoprim-sulfamethoxazole, as these resistances can be carried by a plasmid, greater precision should be given to the administration of these antibiotics.

Class Imbalanced Fault Diagnosis via Combining K-Means Clustering Algorithm with Generative Adversarial Networks

Recent advancements in machine learning and communication technologies have enabled new approaches to automated fault diagnosis and detection in industrial systems. Given wide variation in occurrence frequencies of different classes of faults, the class distribution of real-world industrial fault data is usually imbalanced. However, most prior machine learning-based classification methods do not take this imbalance into consideration, and thus tend to be biased toward recognizing the majority classes and result in poor accuracy for minority ones. To solve such problems, we propose a k-means clustering generative adversarial network (KM-GAN)-based fault diagnosis approach able to reduce imbalance in fault data and improve diagnostic accuracy for minority classes. First, we design a new k-means clustering algorithm and GAN-based oversampling method to generate diverse minority-class samples obeying the similar distribution to the original minority data. The k-means clustering algorithm is adopted to divide minority-class samples into k clusters, while a GAN is applied to learn the data distribution of the resulting clusters and generate a given number of minority-class samples as a supplement to the original dataset. Then, we construct a deep neural network (DNN) and deep belief network (DBN)-based heterogeneous ensemble model as a fault classifier to improve generalization, in which DNN and DBN models are trained separately on the resulting dataset, and then the outputs from both are averaged as the final diagnostic result. A series of comparative experiments are conducted to verify the effectiveness of our proposed method, and the experimental results show that our method can improve diagnostic accuracy for minority-class samples.

Inferring insect feeding patterns from sugar profiles: a comparison of statistical methods

Investigations in nutritional ecology often require the identification of animal feeding patterns in natural conditions (what, where, and when do animals eat). Thus, methods are needed to trace not only individual resource uptake but also the relative use of different resources in a population or community. Recent biochemical developments allow predicting the use of sugar‐rich resources from insects in the field. Individual feeding status (feeding history, food sources) is inferred by comparing insect sugar profiles with those of individuals fed on controlled diets. Individual assignations are then used to predict the relative consumption of different resources at the population or community level. As both steps may generate error, accurate prediction rules are needed. However, research from other domains (e.g., protein‐marking studies) suggests that classical decision rules used for such tasks may sometimes induce bias. This study evaluated the performance of these rules and compared them to alternative methods on simulated, realistic datasets. It tested different methods for individual classification but also introduced methods for prevalence estimation, whose specific purpose is to estimate the relative frequency of different classes. Alternative methods substantially outperformed the traditional algorithms to predict insect individual feeding status and population class distribution (relative frequency of insects with different feeding status). This study provided a simple decision tool to choose a method according to dataset size, variance, and biochemical method used. Alternative methods should increase prediction confidence in future studies. Such approaches should easily be generalized to a wider range of systems.

Prevalence of integron classes in Gram-negative clinical isolated bacteria in Iran: a systematic review and meta-analysis.

Objective(s):Integrons, as a potential element in the distribution and maintenance of drug resistance, have thoroughly been established. It is known that the high prevalence of integrons in multidrug-resistant (MDR) clinical isolates has become a serious public health concern. The objective of the present study was to determine the frequency of different classes of integrons in clinical isolates in Iran. Materials and Methods:Electronic global databases were systematically searched. The raw data for integrons among bacterial isolates were collected and their prevalence was analyzed using Comprehensive Meta-Analysis V2.0 (Biostat, Englewood, NJ, USA) software. Results:In a comprehensive literature review, 29 eligible studies were determined with their meta-analyses indicating the prevalence of integron class 1 to be 41% (95% CI 36.3-46.1) and integron class 2 as 17.7% (95% CI 13-23.3) in Gram-negative bacteria. The highest prevalence of integron class 1 was reported in Acinetobacter spp (58%) while the highest prevalence of integron class 2 was reported in Shigella isolates (83.7%). The frequencies of class 1 integron in MDR (79%) and non-MDR isolates (41%) were higher than those for class 2 integron in MDR (13.4%) and non-MDR isolates (17.7%). Conclusion:The current systematic review demonstrated the significant presence of integrons among clinical isolates. Our analysis showed that measures such as estimates of the prevalence of this transposable element and diligence in continued surveillance might be necessary to prevent its spread.

Morphology, morphometry and chromatin distribution in llama sperm nuclei.

The objectives of this study were as follows: (i) to describe and evaluate the frequencies of different morphologies of llama sperm nuclei, (ii) to determine morphometric values of nuclear parameters, (iii) to describe and estimate the frequencies of different classes of chromatin distribution and (iv) to measure haploid DNA content and analyse its nuclear distribution. The study was performed using ejaculates collected from seven males, and sperm nuclei were stained with the Feulgen reaction. Normal morphology ranged from 78.36% to 93.92%, and abnormalities included short, small, large, pyriform, narrow, micro and round nuclei. Important differences in nuclei considered normal were found between some males. The following average values were obtained for each sperm nuclear morphometric parameter analysed: area 11.64μm2 , perimeter 13.16μm, length 5.12μm, width 2.81μm, ellipticity 1.85 and form 0.83. Differences between males were significant for all the parameters (p<.01). Light microscope observations and cytophotometric determinations allowed discriminating between three classes of chromatin distribution: homogeneous, diffuse and showing a clear band. Significant differences between males were found for the frequencies of the three classes (p<.01). Cluster analysis methods were used to estimate the resemblance between males according to the characteristics of their sperm nuclei. A great intermale variability was found for morphological, morphometric and chromatin distribution data. These parameters would have low dependence between them.

Chlamydia trachomatis genotypes in a cross-sectional study of urogenital samples from remote Northern and Central Australia

ObjectivesThe objective was to determine the frequency of trachoma genotypes of Chlamydia trachomatis-positive urogenital tract (UGT) specimens from remote areas of the Australian Northern Territory (NT).SettingThe setting was analysis of...

The results of the pharmacoepidemiological study PIFAGOR IV concerning arterial hypertension (AH patients survey)

Group of researchers analytical group of PIFAGOR IV study The aim is to study the next step of pharmacoepidemiology of arterial hypertension (AH) in Russia to evaluate the structure and frequency of different classes of antihypertensive drugs (AHD) usage in clinical practice.Material and methods. The prospective pharmacoepidemiological multicenter study (PIFAGOR IV). We interrogated AH patients using special prepared questionnaires. The collection of questionnaires took place from February to July, 2013. The study included 2533 valid questionnaires from 52 cities and towns of Russia.Results. 80% of the patients regularly take AHD; 32.8% of patients receive monotherapy, 38.6% receive two AHD combinations, 28.4% - 3 or more AHD combinations. The average number of AHD was 2.02 per patient. The structure of AHD consisted of 5 recommended classes: ACE inhibitors (27.8%), -adrenergic receptor blocking agents (21.7%), diuretics (15.7%), calcium antagonists (11.3%) and angiotensin II receptor blockers (10.7%), fixed combination - 10.8%. Additional proportion of classes: central-acting agents - 2.3% and b-adrenoceptor blocking agents - 0.1%. Among the ACE inhibitors the main share had 3 drugs: enalapril (33.6%), perindopril (16%), and lisinopril (13%). In b-blockers class the main share had 2 drugs - bisoprolol (64.4%), and usual form of release and modified release dosage form of metoprolol (the total share 21,4%). Indapamide of standard and retard form took the first place in the structure of diuretics (the total share 75%). In calcium antagonists class the main share had amlodipine (55.8%). The main drug in ARBs II was losartan (55.4%). Central-acting agent class was consisted of moxonidine (66%), methyldopa (17%) and clonidine (5%). For about 76% of cases were presented by combinations containing diuretics and 24% - by combinations containing calcium antagonists among the fixed combinations. The proportion of original drugs in the structure of AHD was 38.3%. The average BP level in patients was 140.4/86.4 mm Hg and the blood pressure targets were determined in 50.2% of cases. A high degree of compliance according to the Morisky-Green test indicated in 32%, low compliance - in 49% of cases.Conclusions. We noted the reduction of ACE inhibitors proportion and increase of ARBs II proportion, increase of fixed combinations in the structure of AHD. However, we noticed the decrease of the treatment efficacy in patients with AH using average BP level and achievement of the target BP, as well as the average number of AHD.

Результаты фармакоэпидемиологического исследования артериальной гипертонии ПИФАГОР IV (опрос пациентов с артериальной гипертонией)

Group of researchers analytical group of PIFAGOR IV study The aim is to study the next step of pharmacoepidemiology of arterial hypertension (AH) in Russia to evaluate the structure and frequency of different classes of antihypertensive drugs (AHD) usage in clinical practice.Material and methods. The prospective pharmacoepidemiological multicenter study (PIFAGOR IV). We interrogated AH patients using special prepared questionnaires. The collection of questionnaires took place from February to July, 2013. The study included 2533 valid questionnaires from 52 cities and towns of Russia.Results. 80% of the patients regularly take AHD; 32.8% of patients receive monotherapy, 38.6% receive two AHD combinations, 28.4% - 3 or more AHD combinations. The average number of AHD was 2.02 per patient. The structure of AHD consisted of 5 recommended classes: ACE inhibitors (27.8%), -adrenergic receptor blocking agents (21.7%), diuretics (15.7%), calcium antagonists (11.3%) and angiotensin II receptor blockers (10.7%), fixed combination - 10.8%. Additional proportion of classes: central-acting agents - 2.3% and b-adrenoceptor blocking agents - 0.1%. Among the ACE inhibitors the main share had 3 drugs: enalapril (33.6%), perindopril (16%), and lisinopril (13%). In b-blockers class the main share had 2 drugs - bisoprolol (64.4%), and usual form of release and modified release dosage form of metoprolol (the total share 21,4%). Indapamide of standard and retard form took the first place in the structure of diuretics (the total share 75%). In calcium antagonists class the main share had amlodipine (55.8%). The main drug in ARBs II was losartan (55.4%). Central-acting agent class was consisted of moxonidine (66%), methyldopa (17%) and clonidine (5%). For about 76% of cases were presented by combinations containing diuretics and 24% - by combinations containing calcium antagonists among the fixed combinations. The proportion of original drugs in the structure of AHD was 38.3%. The average BP level in patients was 140.4/86.4 mm Hg and the blood pressure targets were determined in 50.2% of cases. A high degree of compliance according to the Morisky-Green test indicated in 32%, low compliance - in 49% of cases.Conclusions. We noted the reduction of ACE inhibitors proportion and increase of ARBs II proportion, increase of fixed combinations in the structure of AHD. However, we noticed the decrease of the treatment efficacy in patients with AH using average BP level and achievement of the target BP, as well as the average number of AHD.

In- silico exploration of thirty alphavirus genomes for analysis of the simple sequence repeats

The compilation of simple sequence repeats (SSRs) in viruses and its analysis with reference to incidence, distribution and variation would be instrumental in understanding the functional and evolutionary aspects of repeat sequences. Present study encompasses the analysis of SSRs across 30 species of alphaviruses. The full length genome sequences, assessed from NCBI were used for extraction and analysis of repeat sequences using IMEx software. The repeats of different motif sizes (mono- to penta-nucleotide) observed therein exhibited variable incidence across the species. Expectedly, mononucleotide A/T was the most prevalent followed by dinucleotide AG/GA and trinucleotide AAG/GAA in these genomes. The conversion of SSRs to imperfect microsatellite or compound microsatellite (cSSR) is low. cSSR, primarily constituted by variant motifs accounted for up to 12.5% of the SSRs. Interestingly, seven species lacked cSSR in their genomes. However, the SSR and cSSR are predominantly localized to the coding region ORFs for non structural protein and structural proteins. The relative frequencies of different classes of simple and compound microsatellites within and across genomes have been highlighted.

Genome-wide scan for analysis of simple and imperfect microsatellites in diverse carlaviruses

An exhaustive compilation and analysis of incidence, distribution and variation of simple sequence repeats (SSRs) in viruses are required to understand the evolution and functional aspects of repetitive sequences. Present study focuses on the analysis of SSRs in 32 species of carlaviruses. The full length genome sequences were assessed from NCBI (http://www.ncbi.nlm.nih.-gov/) and analyzed using IMEx software. Variance in incidence of SSRs was observed, independent of genome size. Though the conversion of SSRs to imperfect microsatellite or compound SSR is low; compound microsatellites constituted by variant motifs accounted for up to 12.5% of the SSRs. Mononucleotide A/T is most prevalent followed by dinucleotide GT/TG and trinucleotide AAG/GAA in these genomes. The SSR and cSSR are predominantly localized to the coding region RDRP (RNA dependent RNA polymerase) and ORF-6 (open reading frame). The relative frequency of different classes of simple and compound microsatellites has been highlighted in accordance with the biology of carlavirus. Characterization of such variations would be pivotal for deciphering the enigma of these widely used, but incompletely understood sequences.

Occurrence and analysis of imperfect microsatellites in diverse potyvirus genomes

Simple sequence repeats (SSRs) or microsatellites are known to exhibit ubiquitous across all kingdoms of life including viruses. However, imperfections in simple sequence repeats have been analyzed in genomes of human, Escherichia coli and Human Immunodeficiency virus. The assessment of compound microsatellites in plant viral genomes is yet to be studied. Potyviruses severely affect crop plant growth and reduce economic yield in diverse cropping systems worldwide. Hence, we analyze the nature and distribution of compound microsatellites present in complete genome of 45 potyvirus species. The results indicate that compound microsatellites accounted for about 0% to 15.15% of all microsatellites and have low complexity as compared to that of prokaryotic genomes. Overall, 14% of compound microsatellites were of similar motifs and such motif duplications were observed for CA, TA and AG repeats. Among all 45 potyvirus genomes analyzed, SSR couple (AG)-x-(AC) was found to be the most abundant one. Hence it is apparent that in contrast to eukaryotes, majority of compound microsatellites in potyviruses were composed of variant motifs. We also highlight the relative frequency of different classes of compound microsatellites as well as their patterns of distribution and correlate with biology of potyviruses. Further characterization of such variation is important for elucidating the origin, mutational processes, and structure of these widely used, but incompletely understood sequences.

Finding rare objects and building pure samples: probabilistic quasar classification from low-resolution Gaia spectra

We develop and demonstrate a probabilistic method for classifying rare objects in surveys with the particular goal of building very pure samples. It works by modifying the output probabilities from a classifier so as to accommodate our expectation (priors) concerning the relative frequencies of different classes of objects. We demonstrate our method using the Discrete Source Classifier, a supervised classifier currently based on Support Vector Machines, which we are developing in preparation for the Gaia data analysis. DSC classifies objects using their very low resolution optical spectra. We look in detail at the problem of quasar classification, because identification of a pure quasar sample is necessary to define the Gaia astrometric reference frame. By varying a posterior probability threshold in DSC we can trade off sample completeness and contamination. We show, using our simulated data, that it is possible to achieve a pure sample of quasars (upper limit on contamination of 1 in 40,000) with a completeness of 65% at magnitudes of G=18.5, and 50% at G=20.0, even when quasars have a frequency of only 1 in every 2000 objects. The star sample completeness is simultaneously 99% with a contamination of 0.7%. Including parallax and proper motion in the classifier barely changes the results. We further show that not accounting for class priors in the target population leads to serious misclassifications and poor predictions for sample completeness and contamination. (Truncated)

An Integrated Approach for Landslide Susceptibility Mapping Using Remote Sensing and GIS

A methodology for landslide susceptibility mapping using an integrated remote sensing and GIS approach is presented. A part of the Darjeeling Himalaya was selected for the model execution. IRS satellite data, topographic maps, field data, and other informative maps were used as inputs to the study. Important terrain factors, contributing to landslide occurrences in the region, were identified and corresponding thematic data layers were generated. These data layers represent the geological, topographical, and hydrological conditions of the terrain. A numerical rating scheme for the factors was developed for spatial data analysis in a GIS. The resulting landslide susceptibility map delineates the area into different zones of four relative susceptibility classes: high, moderate, low, and very low. The susceptibility map was validated by correlating the landslide frequencies of different classes. This has shown a close agreement with the existing field instability condition. The effectiveness of the map was also confirmed by the high statistically significant value of a chi-square test.

Assessing Team Situation Awareness in the Field: A Comparison of Measurement Approaches

In this paper we describe a field study conducted with trained Navy teams that was designed to assess the impact of an advanced watchstation on team performance. One of our primary hypotheses was that the advanced display technologies incorporated in this watchstation would support superior situation awareness (SA) within the Navy teams, when compared to the SA supported by their current watchstations. We attempted to use traditional probing techniques to assess team SA, but encountered several difficulties. On the other hand, by assessing the frequency of different classes of behaviors across objects with different levels of tactical significance, we were able to find a strong performance pattern that clearly supported our hypothesis. After explaining our approach and results, we briefly discuss implications for other efforts attempting to assess SA in field settings.

A practical classification of septonasal deviation and an effective guide to septal surgery.

The conventional designation of septal pathology is a deviated septum, and the common treatment of choice is submucous resection of the septum. These limited generic terms leave the surgery open to frequent failure and render the education of this topic suboptimal. During 1224 septal surgeries, we have observed six different categories of septal deviation requiring different surgical treatments. A study was conducted to investigate the frequency of different classes of septal deviation and to develop guidelines for a more successful surgical correction of each category. Ninety-three consecutive patients who underwent septoplasty were carefully evaluated for the type of septal deformity, age, gender, history of trauma, and previous septal surgery. The surgical technique was reviewed for each category of the septal deformity. Of the 93 patients, 71 were women and 22 were men. Ages ranged from 13 to 76, with an average age of 31.5. Most patients exhibited a "septal tilt" deformity (40 percent; 37 of 93) or a C-shape anteroposterior deviation (32 percent; 30 of 93). The other deformities were C-shape cephalocaudal (4 percent; 4 of 93), S-shape anteroposterior (9 percent; 8 of 93), S-shape cephalocaudal (1 percent; 1 of 93), or localized deviations or large spurs (14 percent; 13 of 93). Each of the six categories of septal deviation requires specific management. If a single procedure is selected for all of the septal deformities, disappointing results may ensue.

Anatomic Reconstruction of the Nasal Tip Cartilages in Secondary and Reconstructive Rhinoplasty

The conventional designation of septal pathology is a deviated septum, and the common treatment of choice is submucous resection ofthe septum. These limited generic terms leave the surgery open to frequent failure and render the education of this topic suboptimal. During 1224 septal surgeries, we have observed six different categories of septal deviation requiring different surgical treatments. A study was conducted to investigate the frequency of different classes of septal deviation and to develop guidelines for a more successful surgical correction of each category. Ninety-three consecutive patients who underwent septoplasty were carefully evaluated for the type of septal deformity, age, gender, history of trauma, and previous septal surgery. The surgical technique was reviewed for each category of the septal deformity. Of the 93 patients, 71 were women and 22 were men. Ages ranged from 13 to 76, with an average age of 31.5. Most patients exhibited a septal tilt deformity (40 percent ; 37 of 93) or a C-shape anteroposterior deviation (32 percent; 30 of 93). The other deformities were C-shape cephalocaudal (4 percent; 4 of 93), S-shape anteroposterior (9 percent; 8 of 93), S-shape cephalocaudal (1 percent ; 1 of 93), or localized deviations or large spurs (14 percent; 13 of 93). Each of the six categories of septal deviation requires specific management. If a single procedure is selected for all of the septal deformities, disappointing results may ensue.

Compound microsatellite repeats: practical and theoretical features.

Most linkage and population genetic studies that use microsatellites assume that the polymorphism observed at these loci is due simply to variation in the number of units of a single repeat. Variation is far more complex, however, for the numerous microsatellites that contain interruptions within the repeat or contain more than one type of repeat. We observed that for D18S58, a compound microsatellite containing (CG)(m), as well as (CA)(n) repeats, the apparent length of certain alleles varied between genotyping experiments. Similar results were obtained with other (CG)(m)-(CA)(n) repeats. Sequencing demonstrated that the D18S58 alleles demonstrating variable mobility contained longer (CG)(m) stretches than those alleles whose length did not appear to vary between experiments. These results suggest that (CG)(m) repeats, which are frequently present in compound human microsatellites, are prone to form an unusually stable secondary structure. We discuss the relative frequency of different classes of compound microsatellites identified through database searches, as well as their patterns of sequence and variation. Further characterization of such variation is important for elucidating the origin, mutational processes, and structure of these widely used, but incompletely understood, sequences.

A four-year study of the association between male dominance rank, residency status, and reproductive activity in rhesus macaques (Macaca mulatta)

Considerable controversy exists on the nature of the relationship between male dominance rank and reproductive activity. The nature of this relationship has important implications for understanding the manner in which males compete for access to limited resources. Behavioral data on mating patterns were collected over a four-year period from one social group of rhesus macaques on Cayo Santiago. Correlations between dominance rank and reproductive activity were not stable over a four-year period, but changed yearly. Positive, significant correlations were present in the first two years of the study while non-significant correlations were found in the second two years. The variation found in the correlations between rank and mating activity could be accounted for by changes in the mating frequencies of different classes of males. The long-term resident males had declines in ejaculation frequencies over the duration of the study. Males who immigrated into the group had yearly increases in reproductive behavior over three consecutive years. Maturing natal males also increased their levels of reproductive activity from year-to-year. Combining these mating patterns over time resulted in shifting the proportions of matings away from the long-term residents and in favor of the new males. High-ranking males had an advantage in reproductive activity over the first two years of the study, as measured by both the total number of ejaculations and the mean number of ejaculation per male. New males, comprised of recent immigrants and maturing natal males, had a greater level of reproductive activity over the last two years. These results suggest that the effect of rank on reproductive activity is variable and that males utilize alternative tactics to attain access to limited resources. Simple one-factor models explaining the relationship between rank and reproductive activity must be replaced with models explaining how alternate strategies affect male competition and reproductive success in primates.