Arabic Sign Language Gesture Classification Using Deer Hunting Optimization with Machine Learning Model

Sign language includes the motion of the arms and hands to communicate with people with hearing disabilities.Several models have been available in the literature for sign language detection and classification for enhanced outcomes.But the latest advancements in computer vision enable us to perform signs/gesture recognition using deep neural networks.This paper introduces an Arabic Sign Language Gesture Classification using Deer Hunting Optimization with Machine Learning(ASLGC-DHOML)model.The presented ASLGC-DHOML technique mainly concentrates on recognising and classifying sign language gestures.The presented ASLGC-DHOML model primarily pre-processes the input gesture images and generates feature vectors using the densely connected network(DenseNet169)model.For gesture recognition and classification,a multilayer perceptron(MLP)classifier is exploited to recognize and classify the existence of sign language gestures.Lastly,the DHO algorithm is utilized for parameter optimization of the MLP model.The experimental results of the ASLGC-DHOML model are tested and the outcomes are inspected under distinct aspects.The comparison analysis highlighted that the ASLGC-DHOML method has resulted in enhanced gesture classification results than other techniques with maximum accuracy of 92.88%.

Deer Hunting Optimization with Deep Learning Enabled Emotion Classification on English Twitter Data

Currently,individuals use online social media,namely Facebook or Twitter,for sharing their thoughts and emotions.Detection of emotions on social networking sites’finds useful in several applications in social welfare,commerce,public health,and so on.Emotion is expressed in several means,like facial and speech expressions,gestures,and written text.Emotion recognition in a text document is a content-based classification problem that includes notions from deep learning(DL)and natural language processing(NLP)domains.This article proposes a Deer HuntingOptimizationwithDeep Belief Network Enabled Emotion Classification(DHODBN-EC)on English Twitter Data in this study.The presented DHODBN-EC model aims to examine the existence of distinct emotion classes in tweets.At the introductory level,the DHODBN-EC technique pre-processes the tweets at different levels.Besides,the word2vec feature extraction process is applied to generate the word embedding process.For emotion classification,the DHODBN-EC model utilizes the DBN model,which helps to determine distinct emotion class labels.Lastly,the DHO algorithm is leveraged for optimal hyperparameter adjustment of the DBN technique.An extensive range of experimental analyses can be executed to demonstrate the enhanced performance of the DHODBN-EC approach.A comprehensive comparison study exhibited the improvements of the DHODBN-EC model over other approaches with increased accuracy of 96.67%.

Automated Red Deer Algorithm with Deep Learning Enabled Hyperspectral Image Classification

Hyperspectral(HS)image classification is a hot research area due to challenging issues such as existence of high dimensionality,restricted training data,etc.Precise recognition of features from the HS images is important for effective classification outcomes.Additionally,the recent advancements of deep learning(DL)models make it possible in several application areas.In addition,the performance of the DL models is mainly based on the hyperparameter setting which can be resolved by the design of metaheuristics.In this view,this article develops an automated red deer algorithm with deep learning enabled hyperspec-tral image(HSI)classification(RDADL-HIC)technique.The proposed RDADL-HIC technique aims to effectively determine the HSI images.In addition,the RDADL-HIC technique comprises a NASNetLarge model with Adagrad optimi-zer.Moreover,RDA with gated recurrent unit(GRU)approach is used for the identification and classification of HSIs.The design of Adagrad optimizer with RDA helps to optimally tune the hyperparameters of the NASNetLarge and GRU models respectively.The experimental results stated the supremacy of the RDADL-HIC model and the results are inspected interms of different measures.The comparison study of the RDADL-HIC model demonstrated the enhanced per-formance over its recent state of art approaches.

Regional Copper Deficiency in White-Tailed Deer

Minerals are critical in maintaining health and physiological function in wildlife. Geographic variation in soil and forage mineral concentration may predispose wildlife to mineral imbalances, where a common symptom is restricted somatic growth. We investigated if mineral imbalances could explain localized differences in morphology of white-tailed deer (Odocoileus virginianus) occurring in geographically proximate sites with similar management, climate, and habitat. We collected serum samples and morphological measurements from free-ranging white-tailed deer captured during 2011-2019 from coastal and inland rangeland sites in South Texas, USA. We measured mineral concentrations in serum from captured deer at each location. Asymptotic deer body mass and antler size averaged 8% - 20% smaller for deer at the coastal compared to the inland site. The proportion of deer with deficient levels of serum copper was greater at the coastal site (66% versus 14%). Our results suggest regional mineral deficiencies in deer may limit antler and body development. Wildlife managers should be aware of all aspects of wildlife nutrition and the importance of considering nutrients beyond energy and protein.

Mitochondrial DNA Sequences Imply Anhui Musk Deer a Valid Species in Genus Moschus

Anhui musk deer [ Moschus ( moschiferus/berezovskii ) anhuiensis ] has been a taxonomic mystery since its discovery in early 80's.In this paper,with museum samples,we sequenced the complete cytochrome b gene of five Anhui musk deer.When compared with other species in Genus Moschus ,Anhui musk deer showed a rather level of sequence divergence from all the other species in this genus.The phylogenetic trees constructed by multiple methods supported the same topology,in which the monophyly of Anhui musk deer was clearly demonstrated.Therefore,our molecular data suggest a full species status for Anhui musk deer ( Moschus anhuiensis ),rather than a subspecies of either M moschiferus or M berezovskii previously suggested by morphological studies.

Identification of sika deer and red deer using partial cytochrome b and 12s ribosomal RNA genes

A study was conducted on the identifications of the degraded samples of sika deer （Cervus nippon） and red deer （Cervus elaphus） by phylogenetic and nucleotide distance analysis of partial Cytb and 12s rRNA genes sequences. 402 bp Cytb genes were achieved by PCR-sequencing using DNA extracted from 8 case samples, and contrasted with 27 sequences of Cytb gene downloaded from GenBank database. The values of three nucleotide distance between three suspected samples and sika deer were identical （0.026±0.006）, which was smaller than the smallest nucleotide distance between eastern red deer and sika deer （0.036）. Furthermore, phylogenetic analysis of sika deer and red deer indicated that the evidences located within the same cluster as sika deer. The evidences were sika deer materials. As the same way, other three suspected samples were derived from red deer. The results were further confirmed by phylogenetic and nucleotide distance analysis of 387 bp 12s rRNA gene. The method was powerful and less time-consuming and helpful to reduce the related cases with wildlife.

Plasmid DNA Analysis of Pathogenic Escherichia coli in Musk Deer

[Objective] The pathogenic Escherichia coli in musk deer was classified at molecular level to provide basic materials for molecular epidemiology of pathogenic Escherichia coli in musk deer. [Method] Plasmids from 24 pathogenic Escherichia coli in musk deer were extracted by the Lysis Triton method, and then identified by single enzyme digestion with three endonucleases of Hind Ⅲ, EcoR Ⅰ and BamH Ⅰ. [Result] The yield rate of plasmids was 91.6%, and 24 pathogenic Escherichia coli in musk deer had the identical or similar plasmid profiles. [Conclusion] Plasmid DNA analysis offers scientific basis for molecular epidemiology of pathogenic Escherichia coli in musk deer in Sichuan Institute of Musk Deer Breeding.

Development of a Multivalent Inactivated Vaccine against Pathogenic Escherichia coli Infection in Forest Musk Deer

A multivalent inactivated Escherichia coli vaccine for forest musk deer by using serotypes O4,O26,and O139 with Al（OH）3 adjuvant was prepared.The vaccine did not cause any adverse reactions in forest musk deer.The immunogenic effects of the vaccine were experimentally investigated in pregnant and young forest musk deer.The serum antibody titers of pregnant and young forest musk deer were determined by performing the micro-agglutination test.The serum antibody titers of pregnant forest musk deer were more stable from 35th to 68th d after the third vaccination,and the serum antibody titers of four pregnant forest musk deer were maintained 25,25,25,and 24 on 68th d after the third vaccination.Young forest musk deer showed serum antibody titers which were obtained due to nursing.Young forest musk deer were administered the first intramuscular vaccine injection at an age of approximately 60 days due to a fall in maternal antibody titers.The serum antibody titers of young forest musk deer were higher after the third vaccination and maintained at approximately the same level until they were 137 days old.The maternal antibodies and the antibodies produced by young forest musk deer could be helpful for protecting the young musk deer from the infections of pathogenic Escherichia coli strains（serotypes O4,O26,and O139）for 137 days after birth（during the nursing period and the period when the forest musk deer were susceptible to diseases）.

An Improved Method for DNA Extraction from the Faeces of Red Deer

[Objective] To introduce an improved method for DNA extraction from the faeces of red deer. [Method] Based on the traditional method of CTAB lysis, we proposed an improved DNA extraction method according to the characteristics of red deer faeces. [Result] This improved method extracted high-quality fecal DNA from Tianshan red deer and amplified the mitochondrial cytochrome b gene. With the muscle and fur DNA of red deer as the control, the sequencing results further con- firmed the reliability of the method. [Conclusion] The method requires no proteinase K in the process of extraction, and the extracted DNA can be used for PCR ampli- fication directly without the purification of DNA purification kit, thus, it is cost-saving.

John Deere公司9R系列新型轮式拖拉机

介绍了John Deere公司的9R系列新拖拉机主要部件的技术性能和结构特点,为我国拖拉机行业科研单位和生产企业进一步研究开发拖拉机新产品提供参考。

Characterization and Deer-Repellent Property of Chrysophanol and Emodin from Sicklepod Weed

Deer, particularly white-tailed deer (Odocoileus virginianus), damage row crops such as soybean (Glycine max L.) and are a perceived problem in the continental US. Currently, the only widely used technique to control deer from crop browsing is establishment of fences, which is expensive, labor intensive, and most of the time ineffective. Studies have shown that sicklepod, Senna obtusifolia (L.), contains anthraquinone derivatives, which in separate studies were shown to be toxic to cattle, rats, rabbits, and horses, and repel herbivores primarily birds. However, information of the deer-repelling property of anthraquinone in sicklepod is lacking. Field tests conducted at our Captive Deer Facility at MississippiStateUniversity(MSU) confirmed the deer-repelling property of anthraquinone extracts from sicklepod. Soybean plants applied with control treatment (water) were browsed by deer, while plants applied with sicklepod anthraquinone extracts were avoided. Using chromatography techniques, we found the levels of anthraquinone derivatives (chrysophanol, emodin) in sicklepod plant parts in the order: root > fruit > stem/leaf. Hydrolysis of water extracts of sicklepod seed produced high emodin concentration, suggesting emodin glycoside as the main form of anthraquinone glycoside in sicklepod seed. Deer-repelling compounds can be extracted in its pure form from sicklepod and applied on soybean to increase its repelling efficacy on deer, and at the same time protect soybean yields.

FEEDING HABITS OF HAINAN ELDI'S DEER

Hainan eldi’s deer is a precious species of deer in the tropic zone,it is regardedas the first—class animal under protection in China.Based on all-year-round observation on thedeer’s feeding habit in the reserve from 1985 to 1988,we discovered that Hainan eldi’s deer is aeuryphangous herbivore.They take various herbs as their main food and have fairly strongselectivity for woody plants,especially tending to eat the tender parts of plants and some fruits andflowers.Like other species of deer,they also like to lick the alkaline soil.This paper reports the re-search and evaluation on the feeding and choosing food characteristics of Hainan eldi’s deer,and onthe palatability of the main plants in the reserve.

Population and genetic diversity of Tibetan red deer based on fecal DNA

The Tibet Shannan Red Deer Nature Reserve is the center of the geographic distribution of Tibetan red deer. This paper presents the results of DNA analysis of 199 red deer fecal pellet groups collected during 2013 and 2014 during the green-plant period. We successfully extracted DNA from 87 DNA pellet groups and determined individual identification with 12 microsatellite loci. We evaluated the genetic diversity of the population and various population estimates with Capwire in R software. The87 successfully extracted pellet groups were from 50 individuals. In the population, the average number of alleles was 7.58 ± 0.18, the average effective number of alleles was 4.58 ± 0.15, and average polymorphism information content was 0.67 ± 0.01. Among the 12 loci,only T123 was moderately polymorphic; the other 11 loci were highly polymorphic. Expected heterozygosity ranged from 0.45 to 0.91, with an average of 0.72 ± 0.01, and average observed heterozygosity was 0.52 ± 0.11.Although Tibetan red deer remains endangered, the high genetic diversity indicates that this population has a good chance of recovery. This study provided insight that could be used by the local forestry department to develop programs to protect Tibetan red deer.

Collagen from Tendon of Yezo Sika Deer (<i>Cervus nippon yesoensis</i>) as By-Product

Collagen from tendon of Yezo sika deer was prepared by limited pepsin digestion. The yield of collagen was very high;35.7% on the basis of lyophilized dry weight. The secondary structure of this collagen was different from that of porcine skin by ATR-FTIR analysis, although it was the same characteristics, e.g. SDS-PAGE, subunit composition, ther-mal behavior, as porcine collagen. Since taking up a problem of bovine spongiform encephalopathy infection in land animals such as calf or bovine, collagen from aquatic materials has been used in various industries. However, the present study indicates that tendon of Yezo sika deer as by-product of meat industry will have potential as an important collagen source for use in the foods, cosmetics, and medical fields.

Deer Body Adaptive Threshold Segmentation Algorithm Based on Color Space

In large-scale deer farming image analysis,K-means or maximum between-class variance(Otsu)algorithms can be used to distinguish the deer from the background.However,in an actual breeding environment,the barbed wire or chain-link fencing has a certain isolating effect on the deer which greatly interferes with the identification of the individual deer.Also,when the target and background grey values are similar,the multiple background targets cannot be completely separated.To better identify the posture and behaviour of deer in a deer shed,we used digital image processing to separate the deer from the background.To address the problems mentioned above,this paper proposes an adaptive threshold segmentation algorithm based on color space.First,the original image is pre-processed and optimized.On this basis,the data are enhanced and contrasted.Next,color space is used to extract the several backgrounds through various color channels,then the adaptive space segmentation of the extracted part of the color space is performed.Based on the segmentation effect of the traditional Otsu algorithm,we designed a comparative experiment that divided the four postures of turning,getting up,lying,and standing,and successfully separated multiple target deer from the background.Experimental results show that compared with K-means,Otsu and hue saturation value(HSV)+K-means,this method is better in performance and accuracy for adaptive segmentation of deer in artificial breeding scenes and can be used to separate artificially cultivated deer from their backgrounds.Both the subjective and objective aspects achieved good segmentation results.This article lays a foundation for the effective identification of abnormal behaviour in sika deer.

Population structures and spatial patterns of two unpalatable Arisaema species(Araceae) with and without clonal reproduction in a riparian forest intensively grazed by Sika deer

General decline of understory cover can result from increased abundance of and foraging pressure by deer.But population size and degree of aggregation can increase for unpalatable understory plants that escape foraging pressure.Clonal reproduction can enable unpalatable plant species to increase their population sizes while trending toward spatially aggregated distributions.However,the details of the relationship between clonal reproduction in unpalatable plants and their dynamics under intensive deer herbivory are not clear.We compared the population structures and spatial patterns of two coexisting unpalatable plant species,Arisaema ovale(with clonal reproduction)and A.peninsulae(without clonal reproduction)in a riparian forest intensively grazed by Sika deer,and examined the null hypothesis that the extent of spatial aggregation and local population size would not differ between the clonal and non-clonal Arisaema species.In a 0.36-ha plot,A.ovale had a larger population size(1087 individuals)with a higher abundance ratio of small plants(p<0.01)than A.peninsulae(84 individuals).Analyses of spatial point processes showed that both populations were spatially aggregated(p<0.05).The spatial aggregation of A.peninsulae,however,became weaker than that of A.ovale,when we excluded one dense patch originating from irregular seed dispersion.These results,excluding the aggregated distribution observed in A.peninsulae,suggested a substantial contribution of clonal reproduction to the expansion of the local A.ovale population following intensive grazing by Sika deer.

The nutritional composition and digestion of plants foraged by red deer(Cervus elaphus xanthopygus) in northeast China

We studied species of plants foraged by red deer in the Muling forest region of northeastern China during January 2014 and 2015. We focused on nutritional composition, energy content, and the digestibility of these plants. Crude protein content varied by plant species.Average crude protein content was 7.5 ± 1.7% of dry matter, ranging from 4.5 to 10.3%. Crude lipid content did not vary by species and averaged 7 ± 1.5%(range5.4–9.8%). Non-fiber carbohydrate(NFC) and neutral detergent fiber(NDF) content varied broadly with average values being 20.1 ± 4.8%(range 13.5–28.8%) and64.7 ± 5.9%(range 53.5–71.8%), respectively. Energy content ranged from 16.7 to 19.7 k J/g. Average dry matter digestibility(DMD) was 46.1 ± 4.8%, with a range from38.7 to 54.6%. Only three plants, Saussurea manshurica,Aralia elata and Equisetum hyemale exhibited DMD [ 50%. NFC content explained most of the variation in energy content(r = 0.451). In contrast, energy content was inversely related to NDF(r =-0.443). There was no correlation between crude protein, crude lipid, and energy content(r= 0.004, r=-0.190). S. manshurica,A. elata and E. hyemale had higher NFC and lower NDF content. Thus, these species offered the greatest nutritional value for wintering red deer in the study area. Along with high CP and NFC content, Taxus cuspidate also had high lignin content, and was thus, considered a good forage species for red deer.

Relationship Between Behavioral Frequency and Reproductive Potential of Female Alpine Musk Deer in Captivity

Between June 2005 and February 2006, focal sampling and all occurrence behavior recording were used to quantify the behavioral patterns of captive female alpine musk deer （Moschus sifanicus） at Xinglongshan Musk Deer Farm, Gansu Province, China. Copulation success was used to differentiate individuals into two groups （successful and unsuccessful） and to provide a basis for behavioral comparisons, throughout both mating （rut） and non mating seasons. The results indicated significant differences between the behavior patterns of successful and unsuccessful females; however, the reproductive season played an important environmental factor. Pooling results across reproductive seasons, successfully copulating females showed significantly higher frequencies of vigilance and lower frequency of feeding behavior as compared with unsuccessfully copulating females. In the non-mating season, unsuccessfully copulating females had higher frequency of self-directed behavior, environment sniffing, and were less aggressive than successful copulating females. Furthermore, females who were successful at copulating also demonstrated tail-pasting behavior; however, this only occurred during the rut season. The results of this study can improve management practices for musk deer farms through increasing mating success and reducing maintenance costs. Furthermore, variation in behavior may also be used as a predictor of copulation success and reproductive potential, whereby females can be grouped and separated according to their reproductive history and past reproduction success.

Maternal investment and reproductive success in Chinese water deer

Among cervids,maternal investment,estimated as the amount of resources and care allocated to the offspring,was expected to be related to species body size. Therefore,maternal investment in a herd of captive Chinese water deer Hydropotes inermis,a relatively small species of cervid,was investigated over 3 years. Except during the lactation period,reproductive females spent about 2-fold more time resting than feeding. During lactation,the amount of time spent feeding increased highly (25.3 min/h during lactation vs 17.3 min/h during the gestation period). Females spent less than 30% of time in communal behaviours with offspring. They did not reject alien fawns during this care period. Frequency and duration of suckling events decreased exponentially from the second week onwards. More than 10% of suckling bouts were non-filial. Prenatal investment leads to a mean litter mass (about 12% of maternal mass) higher than in most cervid species. Postnatal investment in fawns represents a daily mass gain of ca. 85 g/d during the first 2 weeks,without any sexual difference. Female production,timing and synchrony of births and survival of fawns characterized reproductive success. Seventy percent of mature females gave birth,with a mean of 1.9 offspring per female. The sex ratio was even. Births were synchronous,80% of births occurring in 25 days. In this herd,0.74 fawn per female was successfully weaned and 0.56 fawn per female survived through their first year. Based on these results we conclude that reproductive strategy of Chinese water deer was efficient and characterized by mother-offspring relationships typical of hiders and high levels of pre-and postnatal investments. This strategy seems typical of small species of cervids without marked sexual dimorphism.

Behavioral ecology of sika deer in spring in semi-natural area

Behaviors of sika deer in spring were studied by scan sampling, ad libitum sampling, and all-occurrence recording methods during 1998. The results showed that behaviors of sika deer in spring can be classified by seven categories: grazing, ruminating, bedding, moving, standing, drinking, alert, agonistic and other behaviors. Various behavioral models were more regular. Grazing behavior was a kind of mainly behavioral model.