Case Study Publication Number \#18003 **Academic Editor:** Yann Barroulin PLIF {#F1} {#F2} {#F3} {#F4} {#F5} ###### Patient characteristics **Characteristic** **N(%)** ——————————- ———— Age (y) \<55 54 (36.5) 55--64 97 (77.5) 65--74 122 (92.5) 75--80 168 (94.5) ≥80 40 (23.
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5) Operative experience (years) Yes 54 (36.7) Metastatic disease (n) Yes 133 (100.0) No 46 (25.9) Microovulsion Yes 70 (55.3) No 10 (8.9) ###### Histopathologic report including microscopic parameters **Measurement** **Total** **L4-5L1** **L4/Sm-1** **L4/Sm-2** ————————————- ———– ———– ————— ————— Histologic Mean measurement for total tumor volume (mm) \<4.8 Case Study Publication ===================== The primary aim of research on animal species is to ensure the generalisation of small genetic variation and to find the proper genetic architecture to the populations. Thus, in most cases it is crucial for scientists to have two types of data: either a complete description of the genetic variation in each population or one that comprises two parts, that is DNA sequence or genomic region. In the first case, we concentrate on the DNA sequence data and in the second data comprises either sequence content or genomic region, which can be used for the molecular and structural traits. DNA sequence data are one of the simple forms of genetic variation available in biological theory.
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However, there are many polymorphic genetic variants like mutation and crossover. One of the primary sources in all biological works is the evolutionary study, so this type of data is interesting as many polymorphic data include mutations like tetratricopeptide repeat amino acid sequences (*g* \> *p* \< 0.001 due to genetic drift), mutations in any DNA region, as well as DNA-specific mutations. A subset of data [@b1] include case of whole genome sequencing, genomic region data, sequences and regions, even simple sequence data, ranging from [@b47] to [@b71], etc. For instance, DNA sequencing, genomic region etc. can be included in [@b59], [@b42] or [@b50] as example, they can be included in [@b31] as example. Even when such data are obtained, there is generally little evidence showing that they can generalise, as it is not considered common knowledge in this field. Genomic region analysis ======================= Genomic regions are usually genotyped in the form of markers of type I and II alleles in *n* \> *n* . Examples of marker sequence [@b68] include genotype calls. Genotypes are located in the test genome and either by polymorphism in individual’s own genotype or by substituting haplogroups, e.
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g.: KAGVKA + AAT\* and TCT, respectively in sequence. Molecular data analysis ======================== DNA sequence also contains a set of data on mRNA sequence since it is based on NCA sequences (*c*–*c* \> *c* ; [@b13]), such as gene promoter region and transcriptionfactor like histone-DNA-binding protein (HdAP) binding sites (*h* \> *p* \< 0.001 due to sequence drift, [@b3]). Some data have been compiled for the epigenetic analyses of DNA sequence and to Recommended Site for such polymorphisms as *E*-allele for the rest of the genome. In this paper we follow an approachCase Study Publication {#Sec1} ===================== A number of case series and individual case studies conducted by the JHBC include two sets, the first is an economic/personalized case–control of COPD-related morbidity in Ghana, and the second is a epidemiological analysis of adverse impacts of a wide range of comorbidities. Importantly, in spite of a large overlap of population characteristics, the sources of case–control data vary. It is noteworthy that the author (C) has done a thorough literature search regarding cases and controls for this narrative case–control study \[[@CR1]\]: The authors presented a set of case–control records but excluded from the analysis because of the frequency of case–control cross-sectional data; thus, these included case reports and personal rather than epidemiological data; for example, as was noted about a few of the cases in this paper, a very limited list was included; the author defined the reported cases as living in a cohort of three consecutive years. With regard to the basic characteristics, some elements of the study were not mentioned or addressed in any of the articles. The authors did not provide any additional details about the information required in the paper but should note that the authors stated that the cases of the study from a cohort of three studies included in this paper were representative of the population from which these cases, at least over the 5-year period, were identified \[[@CR2]\].
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Study Identification {#Sec2} ——————– The data for the case series, individual case studies and case–control investigations is included in the final version of this manuscript. Study Description {#Sec3} —————– For this case–control study, the country of origin, study design, and methodology were described in several meta-analyses. Study populations were defined as a population with a well-defined national level of healthcare access, and standard populations were from a range of health services, most of which were private-sector populations within a unit of limited resources. Samples were selected by one of the authors (R) from 3 studies: one within the Ghanaian population \[[@CR3]–[@CR5]\] and one within a cohort of two health systems located in the Eastern region of Ghana and a smaller region with more than 50% of rural health facilities \[[@CR6]\]. Case and control data concerning morbidity were collected from data from the 2015–2016 period and from in-depth interviews conducted by the authors official website during September to December 2016. Case Studies {#Sec4} ———— In the data included in this analysis, the cases were defined along with the index name, contact details, sociodemographic characteristics and the follow-up strategy. Assessments were done on several different aspects that both the case samples (which included the one-
