Regression Formula Research Articles

Regression analysis for container ships in the early design stage

The seaway trade market has expanded in the last years and container ship dimensions are constantly increasing for higher cargo capacity. In the early design stage, main dimensions are usually determined based on an existing ship database from which regression formulas are derived. In the present paper, a database of 260 non-sister container ships built from 1979 to 2022, representing 20% of the world fleet, has been considered to derive and compare different types of regressions. Simple regressions have been developed and compared with equivalent formulations available in literature, proving better approximations of the trends. The study has been further extended by multivariable regressions and forest tree algorithms, which allow the use of more than one independent variable and provide a better fitting compared to simple regressions. Forest tree regressions return the highest values of fitting coefficients, but the technique is not of easy application due to the absence of mathematical expressions. The main contribution is the updated set of simple and multivariable regression formulas which have a higher goodness of fit than previous works and can be easily employed by designers in the early design stage and in multi-attribute design procedures.

Imbas Kemasan dan Citra Merek Dalam Keputusan Pembelian Produk UMKM Khas Lampung

The food business has recently become something interesting and promising to do, work, creativity and research. Currently, the snack business is experiencing rapid growth, both on a national scale and on a small and medium business scale. The aim of this research is to analyze how much influence packaging and brand image have on purchasing decisions for MSME products. The research was conducted at Ibu Rina's Cassava Chip Business, which is located in Labuhan Ratu Dua Village, in the East Lampung area. The population is consumers of cassava chips made by Mrs. Rina. Sample data was obtained and collected using cluster sampling and incidental sampling techniques. The collected data using questionnaires was investigated and tested using the multiple linear regression formula using the SPSS program. Tests carried out indicate that the packaging has a positive impact. Mrs. Rina's purchase of cassava chips was not significantly influenced by brand image. Purchasing decisions are significantly influenced by packaging and brand image simultaneously. The hope is that this research will provide concrete and academic uses

The Influence Of Innovation, Work Enthusiasm And Work Facilities On Employee Quality At The Ministry Of Religion Office Muara Enim District

The aim of this research is to determine and analyze the influence of innovation, work enthusiasm and work facilities, both partially and simultaneously, on the quality of employees at the Muara Enim Regency Ministry of Religion office. The research method used in this research is a quantitative method using questionnaires distributed to respondents. Test data quality using validity tests, reliability tests, normality tests. The analysis used is descriptive analysis and inferential analysis using statistical calculations with multiple regression formulas, coefficient of determination, partial tests and simultaneous tests. The research results showed that innovation had a significant effect on the quality of employees at the Muara Enim Regency Ministry of Religion office. Work morale has a significant effect on the quality of employees at the Muara Enim Regency Ministry of Religion office. Work facilities have a significant effect on the quality of employees at the Muara Enim Regency Ministry of Religion office. Innovation, work enthusiasm and work facilities have a significant effect together on the quality of employees at the Muara Enim Regency Ministry of Religion office.

Assessing Electrode Characteristics in Continuous Resistance Spot Welding of BH 340 Steel Based on Dynamic Resistance

The aim of this investigation is to offer a data-based scheme for predicting electrode wear in resistance spot welding. One of the major factors affecting the mechanical properties of spot welds and the variation in weld quality is electrode wear and alloying. In this study, Rogowski coils and twisted pairs attached to the top and bottom electrodes were used to obtain the welding current and the voltage between the electrodes in the welding process, thereby calculating the dynamic resistance value during the welding process. The electrode tip diameter was obtained from the pressure exerted by the upper and lower electrodes on the carbon paper when the current was cut off and was regarded as an indicator of electrode wear. By continuously welding 0.5 mm thick BH 340 steel plates until the electrode failed, the dynamic resistance signal was recorded in real time. Simultaneously, the electrode diameter after every several welds was also recorded. On this basis, the correlation between electrode tip diameter and dynamic resistance is studied. In order to quantitatively study the mapping relationship between dynamic resistance and electrode wear, 10 characteristic values were extracted from the dynamic resistance, and the stepwise regression method was used to obtain the regression formula between the characteristic values and the electrode tip diameter. Using new data to verify the effectiveness of the regression model, the acquired results display that the maximum error between the predicted value of the electrode tip diameter and the measured value obtained by the regression equation with the interactive quadratic term is 0.3 mm, and the corresponding relative error is 7.69%. When welding with a new pair of electrodes, the maximum absolute error was 0.72 mm, and the relative error of the model prediction is within 20% according to the linear regression model with interaction terms. This indicates that this regression model is barely satisfactory for monitoring electrode condition.

Large PET/CT dataset statistics for the correlation between torso organ standardized uptake value and personal physiological features

ABSTRACT Background: The knowledge of [18F] fluoro-deoxy-glucose (18F-FDG) uptake range in normal torso organ is useful for metabolic disease diagnosis and treatment planning. This study aims to reveal the relationship between torso organ uptakes and personal physiological features, so as to quickly calculate the normal uptake value for patients according to his/her own physiological parameter. Materials and Methods: This study collected 767 18F-FDG positron emission tomography/computed tomography (PET/CT) images of normal people. The regions of torso organs were segmented and the mean values of classical body weight-normalized standard uptake value (W-SUV) and lean-body-mass-normalized standard uptake value (L-SUV) were calculated for each organ. The Pearson correlation coefficients and multiple regression formulas were calculated to reveal the influence of physiological features on W-SUV and L-SUV. Comparison between W-SUV and L-SUV were also conducted in terms of the correlation strength, regression confidence and inter-hospital consistency. Results: This study obtains the regression formulas for normal organ uptake calculation according to personal physiological parameters. The analysis reveals that lean body mass is the major factor affecting the uptakes of most organs (R > 0.5). It is also worthy to find that the L-SUV formulas have better prediction confidence and inter-hospital consistency than the W-SUV, indicating the advantage of L-SUV for organ uptake evaluation. Conclusion: Compared to the previously similar studies, this study clarifies the influential factors of torso organ 18F-FDG uptake. We derived detailed formulas for computing individually adapted normal organ SUVs. The comparison between L-SUV and W-SUV also highlights the stability and reliability of L-SUV for cross-center organ uptake analysis.

Microfluidic viscometer using capillary pressure sensing

Blood viscosity is considered as a vital determinant of the efficiency of blood flow in blood-vessel networks. The coflowing method is considered as a promising technique for measuring blood viscosity. However, it requires two precise syringe pumps to supply two fluids (i.e., the reference fluid and blood), calibration in advance, and long waiting time for securing steady blood flow. To solve these problems, a single syringe pump is adopted to supply blood into a microfluidic device without requiring a reference fluid. Two key parameters—fluidic resistance and compliance coefficient—are suggested and obtained by analyzing the fluid velocities in a microfluidic channel and calculating the air pressure in the air compliance unit. Using a discrete fluidic circuit model, the pressure difference is analytically derived and utilized as the nonlinear regression formula. The two key parameters are then obtained through nonlinear regression analysis. According to experimental results, the air cavity and flow rate contribute to increasing the compliance coefficient. The fluidic resistance increases significantly at higher concentrations of glycerin solution ranging from 20% to 50%. The proposed method underestimates the values by approximately 27.5% compared with the previous method. Finally, the proposed method is adopted to detect the effects of hematocrit and red blood cell sedimentation in the driving syringe based on two vital parameters. Regarding the fluidic resistance, the normalized difference between the proposed and previous methods is less than 10%. Therefore, two key parameters can be considered as effective for quantitatively monitoring the hematocrit variation in blood flow. In conclusion, from a biomechanical perspective, the proposed method is highly promising for quantifying blood flow in a microfluidic channel.

Differential performance of cerebrospinal fluid biomarker ratios and formulas to discriminate dementia with Lewy bodies from Alzheimer’s dementia and cognitively healthy people reflects high level of amyloidosis across dementia syndromes

AbstractBackgroundNeurodegeneration is a common hallmark of all dementia syndromes, whereas cerebrospinal fluid amyloid‐β may reflect amyloidosis both in Alzheimer’s dementia (AD) and in dementia with Lewy bodies (DLB). It is unknown if any biomarker profiles may help discriminate DLB from AD.MethodsConsecutive outpatients with probable DLB (fourth consensus report of the DLB Consortium) were paired with outpatients with late‐onset AD (National Institute on Aging – Alzheimer’s Association) by sex, Clinical Dementia Rating and Mini‐Mental State Examination scores, and with cognitively healthy controls by sex and age (±1 year). Genotyping of rs7412 & rs429358 (APOE) was undertaken with TaqMan® Real‐Time PCR technology. Cerebrospinal fluid concentrations of amyloid‐β (Aβ42, Aβ40, Aβ38), α‐synuclein, t‐tau and p‐tau Thr181, were assessed by enzyme‐linked immunosorbent assays. The following ratios and restructured traditional regression formulas were compared among participants: Aβ42/Aβ40, Aβ42/Aβ38, t‐tau/p‐tau, t‐tau/Aβ42, p‐tau/Aβ42, α‐synuclein/Aβ42, t‐tau/α‐synuclein, (240+1.18Xt‐tau)/Aβ42, (3.694+0.0105Xt‐tau)Xp‐tau/Aβ42, (373+0.82Xt‐tau)/Aβ42, (152+8.25Xp‐tau)/Aβ42. In addition, all formulas were considered to correspond to an AD profile if >1, while t‐tau/Aβ42>0.5 and p‐tau/Aβ42>0.08 were also measured, significance at p<0.05.ResultsOverall, 27 participants with DLB (78.48±9.0 years‐old, CDR sum‐of‐boxes 10.96±3.8, eleven APOE‐ε4 carriers) were paired with 27 participants with AD (81.00±5.8 years‐old, CDR sum‐of‐boxes 10.44±3.9, twelve APOE‐ε4 carriers) and 27 controls (78.48±8.7 years‐old, CDR sum‐of‐boxes 0.30±0.8, four APOE‐ε4 carriers); two thirds were women. Only for APOE‐ε4 carriers, t‐tau/Aβ42 (p = 0.065) and t‐tau/α‐synuclein (p = 0.073) were marginally significantly higher in AD. Only for APOE‐ε4 non‐carriers, Aβ42/Aβ38 was higher (p = 0.009) and α‐synuclein/Aβ42 was lower (p = 0.043) in DLB. The t‐tau/Aβ42>0.5 (p = 0.039) and p‐tau/Aβ42>0.08 (p = 0.042) ratios were able to discriminate patients with AD from controls, but not from patients with DLB, regardless of APOE‐ε4 carrier status. All formulas were able to discriminate patients with AD from controls (p<0.02), but only (152+8.25Xp‐tau)/Aβ42>1 was able to discriminate patients with AD from patients with DLB (p = 0.025), regardless of APOE‐ε4 carrier status.ConclusionsAmyloidosis and neurodegeneration are modulated by APOE‐ε4 carrier status and may differentially affect the discriminative power of cerebrospinal fluid biomarker ratios for diagnosis of dementia syndromes. The best formula to discriminate patients with AD from patients with DLB and controls was (152+8.25Xp‐tau)/Aβ42>1. (Supported by FAPESP grant #2015/10109‐5)

Pengaruh Motivasi Kerja, Pendidikan, Etos Kerja, Pengembangan Sumber Daya Manusia dan Fasilitas Terhadap Produktivitas Kerja Pegawai Badan Pendapatan Daerah Kabupaten Muara Enim

The author carried out the research to know and analyze the influence of work motivation, education, work ethic, and development of human resources and facilities, individually and collectively, on the work productivity of employees of the Regional Revenue Agency of Muara Enim Regency. The research method used in this study is quantitative, using questionnaires distributed to respondents. Test the quality of the data by using the validity test, reliability test, and normality test. The descriptive and inferential analysis used statistical calculations with multiple regression formulas, partial test simultaneous test, and the coefficient of determination. The research results showed that work motivation significantly affected the work productivity of Muara Enim Regency Regional Revenue Agency employees. Education significantly affects the work productivity of Muara Enim Regency Regional Revenue Agency employees. Work Ethic significantly affects the work productivity of Muara Enim Regency Regional Revenue Agency employees. Human Resource Development significantly affects the work productivity of Muara Enim Regency Regional Revenue Agency employees. Facilities significantly affect the work productivity of Muara Enim Regency Regional Revenue Agency employees. Work Motivation, Education, Work Ethic, Human Resource Development, and Facilities significantly affect the work productivity of Muara Enim Regency Regional Revenue Agency employees.

Do We Still Need to Perform Bone Marrow Examination in All Subjects Suspected of MDS? Evaluation and Validation of Non-Invasive (Web-Based) Algorithm

Background : The gold standard of diagnosing myelodysplastic syndromes (MDS) still requires a bone marrow examination (BME), an old invasive procedure, with possible associated pain and bleeding, and subjective interpretation with 20-25% inter-observer variability. We first developed a logistic regression formula [Oster HS et al., Leuk Res 2018], and then a non-invasive web-based diagnostic algorithm [Oster HS et al., Bld Adv 2021]. The app requires input of 10 readily available clinical and laboratory parameters (age, gender, Hb, MCV, WBC, ANC, monocytes, PLT, glucose, creatinine), resulting in diagnosing or excluding MDS, perhaps obviating the BME (Figure). Here, we performed external validation of the model, using data of MDS patients and non-MDS controls, who had not been included in the development of the model. Methods: The BM registry of Tel Aviv Sourasky Medical Center (1/2017-12/2021) was reviewed. Inclusion criteria for the MDS group were BME diagnosis, and for the controls, age >50yr, and unexplained anemia requiring BME. We excluded patients with other causes of anemia (renal failure; B12/folic acid or iron deficiency), active malignancy and other hematologic diseases. The relevant parameters were entered into the online model (at https://shiny.york.ac.uk/mds/) and the results of both groups were compared. In a sub-analysis, the model performance was tested in patients with lower risk (LR, IPSS-R<3.5) and higher risk (HR, IPSS-R≥3.5) MDS. Results: In total, 204 patients were included and compared, 103 with MDS, and 101 anemic non-MDS control patients, all with BME. The analysis of model performance (Table, upper portion) showed a sensitivity of 85.6%, specificity of 92.3%, positive predictive value (PPV) of 90.3% and a negative predictive value (NPV) of 88.4%. The algorithm was indeterminate in 26.2% of patients with MDS (BME proven), compared with 9.9% in the control group. In the sub-analysis (Table, lower portion), the model performance in the patients with LR-MDS (n=61) demonstrated sensitivity 85.1%, specificity 92.3%, PPV 90.3% and NPV 88.1%. The performance in HR-MDS (n=32), was 89.3%, 92.3%, 90.6% and 91.1%, respectively. Conclusions : This study validates the potential role of this non-invasive, easy-to-use model to assist in diagnosis, and mainly exclusion of MDS, perhaps allowing to avoid bone marrow examination in some patients. This might be especially relevant for patients suspected to have LR-MDS. Emerging technologies with data generated from peripheral blood (genetics, morphometrics) may be incorporated in the model in the future.

Association of p16, a Biomarker of Cellular Senescence, with Receipt of Therapy for Plasma Cell Disorders

Introduction Multiple myeloma (MM) and immunoglobulin light chain (AL) amyloidosis are clonal plasma cell disorders (PCDs) of aging, with median ages at diagnosis of 69 and 76 years, respectively. The care of adults with these disorders is often challenging due to the higher prevalence of vulnerabilities with advancing age. We examined patterns of senescence biomarkers and associations with therapy receipt among adults treated for plasma cell disorders. Methods Adults undergoing treatment for PCDs were recruited to a longitudinal observational study (NCT03717844) from 2018 to 2020. Study participants provided blood samples and completed study assessments at pre-specified intervals. Cellular senescence was quantified by measuring mRNA expression of p16 in peripheral blood T lymphocytes. Expression of p16 is reported as log2 arbitrary units. A linear regression formula previously derived from p16 expression in 633 subjects was utilized to translate p16 expression levels into an age equivalent. These values were used to calculate the p16AgeGap, a difference between an individual's p16 expression and their chronological age. Subjects with p16 levels below the age-appropriate population mean have a negative p16AgeGap, and those with p16 above the population mean have a positive p16AgeGap. Exposures included both treatment receipt and duration of therapy. Treatment was assessed via categorical classification of treatment intensity, and treatment duration was quantified from diagnosis to time of p16 blood draw. Descriptive statistics were calculated for baseline demographic and disease characteristic variables. The p16 and p16AgeGap variables were summarized in terms of means and 95% confidence intervals (CI). The significance of associations between p16/p16AgeGap and categorical variables was assessed via Kruskal-Wallis or Wilcoxon rank-sum tests. Associations between continuous variables were assessed via calculation of Pearson correlation coefficients. Results The cohort consisted of 109 individuals (88 with multiple myeloma and 21 with other plasma cell disorders). Mean age was 68 years (range 39-91). The sample was predominantly male (56.9%) and White (70.6%). Samples for p16 were drawn prior to any treatment in 20 subjects. The remainder had received prior therapy and 36 had relapsed/refractory disease. There was a significant association between the treatment receipt and p16 as well as between the treatment receipt and p16AgeGap (Figure 1). We observed a significant modest positive correlation between the duration of treatment and p16 (correlation coefficient 0.27, p=0.007) and p16AgeGap (0.22, p=0.03). Among those who had undergone transplant, we observed higher mean p16 (mean 12.84 [95% CI 12.46-13.23] vs 11.81 [11.51-12.11] for non-recipients, p=0.0001) and p16AgeGap (mean 50.6 [39.6-61.6] vs 16.9 [8.4-25.4], p <0.0001). There was a significant association between receipt of bortezomib-containing regimens with both p16 levels p16AgeGap, with higher mean p16 & mean p16AgeGap for those who did not receive bortezomib. For the subset of patients with transplant date before the p16 collection date (N=38), there was no significant association between time since transplant and either p16 level or p16AgeGap. Conclusion This study elucidates the relationship between markers of cellular senescence, specifically p16 levels and the p16AgeGap, and the impact of treatment receipt and duration in a cohort of patients undergoing treatment for plasma cell disorders. There was a clear significant association between the receipt of treatment and both markers of senescence, along with a modest positive correlation between the duration of treatment and these markers. Further analyses involving this cohort will evaluate the relationship between these biomarkers and patient-centered endpoints, including disease-related symptoms and functional outcomes.

Experimental study of interfacial bonding performance between section steel and ultra high-performance concrete

The key to fully exploiting the benefits of section steel and ultra high-performance concrete (UHPC) is to improve their bonding. The primary goal of this study was to investigate the interfacial bonding performance between these two materials. Section steel - reinforced ultra high-performance concrete (SSRUHPC) and section steel-reinforced concrete (SSRC) specimens were subjected to push-out tests. Failure modes, load-slip (PS) curves, and strain distributions were studied, and the experimental results showed that the PS curves of all specimens have a similar trend: a no-slip stage followed by a slip stage, a failure stage, and a residual stage. By increasing the cover thickness and stirrup ratio and lowering the embedded length, the bond strength between the section steel and UHPC may markedly increase. The results of this study show that the bonding between section steel and UHPC is superior to that between section steel and ordinary concrete. Finally, after carefully considering the experimental results, regression formulae for the SSRUHPC bond strength were developed, and the computed results were found to be accurate. Unlike other bond strength formulae, the formulae in this study consider the influence of the stirrup ratio on the bond strength, and the R2 values range from 0.763 to 0.961.

Sebaran Bellucia pentamera Naudin Di Kawasan Objek Wisata Kapalo Banda Taram Kabupaten Lima Puluh Kota

Kapalo Banda Taram Tourism Area, Lima Puluh Kota Regency is one of the tropical rain forest areas in West Sumatra which has a high level of biodiversity that can be disturbed due to the presence of invasive plants, one of which is Bellucia pentamera. The purpose of this study was to determine the distribution of B. pentamera, to determine the effect of the number of Bellucian on the number of non-Bellucian and to determine the effect of distance from the river and light intensity on the distribution of B. pentamera. The research using the belt transect with a plot size of 20x50 m2. Data analysis using the Morisita Index and Simple Linear Regression formulas. The distribution of B. pentamera was quite large with the distribution pattern of B. pentamera sapling strata is clustered, while the tree strata had a uniform distribution pattern. The number of Bellucian individuals affects the presence of non-Bellucian individuals as indicated by a negative effect on species diversity, a decrease in the number of species, high dominance and habitat colonization which will limit resources and space for the growth of other species. The distance from the river affects the distribution of B. pentamera where the closer the distance from the river tends to increase the presence of B. pentamera, while the light intensity does not affect the presence of B. pentamera.

85 Use of Embedded Performance Validity Measures Using Verbal Fluency Tests in a Clinical Sample of Military Veterans

Objective:As neuropsychologists aim to collect valid data, maximize the utility of assessments, make effective use of time, and best serve patient populations, measurement of performance validity is considered a critical issue for the field. As effort may vary across an evaluation, including performance validity tests (PVTs) throughout the assessment is important. Incorporating embedded PVTs in addition to free standing PVTs can be particularly useful in this regard. COWAT and animal naming are commonly administered verbal fluency measures. While there have been past investigations into their potential for detecting invalid performance, they are limited, and more research is needed. Perhaps most promising, Sugarman and Axelrod (2015) described a logistic regression derived formula utilizing the combined raw scores of COWAT and animal naming. The current study aimed to investigate the use of embedded PVTs within COWAT and animal naming to provide further support for the use of embedded PVTs in these measures.Participants and Methods:All subjects were from a mixed clinical sample comprising military veterans from two VA Medical Centers in the northeast U.S., who were referred for neuropsychological evaluation. Subjects deemed credible had zero PVT failures. Subjects were considered non-credible performers if they failed at least two out of a possible eight PVTs administered. Subjects who failed one PVT were excluded from the study (n = 53). The final sample consisted of 116 individuals with credible performance (Mean Age = 35.5, SD = 8.8; Mean Edu = 13.6, SD = 2; Mean Est. IQ = 106, SD = 7.9) and 94 individuals with psychometrically determined non-credible performance (Mean Age = 38.5, SD = 9.4; Mean Edu = 113, SD = 2.1; Mean Est. IQ = 101, SD = 8.7). Performance of COWAT and animals in detecting non-credible performances was evaluated through calculation of classification accuracy statistics and use of the logistic regression formulas reported in Sugarman and Axelrod (2015).Results:For COWAT, the optimal cutoff was a raw score of <27 (specificity = 89%; sensitivity = 31%), and a T-score of <35 (specificity = 92%; sensitivity = 31%). For animal naming, optimal cutoffs were <16 for raw score (specificity = 92%, sensitivity = 38%) and <37 for T-score (specificity = 91%; sensitivity = 33%). The logistic regression formula based on raw scores for both COWAT and animal naming was inadequately sensitive at the recommended cutoff in this sample, but a coefficient of > .28 was revealed to be optimal (91% specificity; 42% sensitivity). When the formula for T-scores was used, a coefficient of > .38 was optimal (91% specificity; 28% sensitivity).Conclusions:Results of the current research suggest that PVTs embedded within the commonly administered COWAT and animal naming verbal fluency tests can effectively detect low effort, in concordance with generally accepted standards. A logistic regression formula using raw scores in particular appears to be most effective, consistent with findings reported by Sugarman and Axelrod (2015).

Pengaruh Budaya Organisasi Dan Gaya Kepemimpinan Terhadap Kinerja Pegawai Pada Dinas Pendidikan, Pemuda Dan Olahraga Kabupaten Trenggalek

The aim of this research is to determine and analyze the influence of organisasonal culture and leadership style on employee performance at Dinas Pendidikan Pemuda dan Olahraga Kabupaten Trenggalek. The research includes quantitative researce because the approach use research submission, process, hyopothesis, analysis, data analysis, data conclution and writing using aspectsof measurement, calculation, formulas and certaintyof numerical data. The researchsubject is employee Dinas Pendidikan Pemuda dan Olahraga Kabupaten Trenggalek. Data analysis using multiple linear regression formulas and hypothesis testing. The research result showed that it was achievedsimultanesly nilaiF hitung 36,181 bigger in comparatin nilaiF tabe l3.11and Nilai H0. This indicates that the research result reject Ho. This it can be concluded that organization culture and leadership style are positive and significant on employee performance.

The Effect of Critical Thinking Ability on Independent Learning Interest of XI Social Studies Class Students of SMA Negeri 09 Kaur

This study aims to determine the critical thinking skills of class XI IPS students at SMA Negeri 09 Kaur, to determine the interest in independent learning of students in class XI IPS SMA Negeri 09 Kaur and to determine the effect of critical thinking skills on the interest in independent learning of students in class XI IPS SMA Negeri 09 Kaur. The type of research used in this study is a type of quantitative research. The population in this study were all students of SMA Negeri 09 Kaur. The sample in this study was 30 students of class XI IPS at SMA Negeri 09 Kaur. Data collection techniques used in this study were observation, questionnaires and documentation. The data analysis technique used is simple linear regression, determining simple linear regression equations by calculating the average and testing the regression linearity using the ANOVA table. Based on the results of the analysis of research data and the discussion that has been carried out, it can be concluded that there is an influence of critical thinking skills on the interest in independent learning of class XI IPS students of SMA Negeri 09. It can be concluded that the ability to think scores reach 38.8, the number lies between 38-46 in the criteria table assessment with a very good category, this shows the ability to think critically is very good. Interest in learning scores reached 34.7 based on the assessment criteria table. This figure is between 29-37, with a fairly good category. This means that interest in independent learning is quite good. Based on the results of statistical data analysis carried out using the simple linear regression formula, the value of the simple linear regression equation is Y = 0.957 + 0.870X. Based on these results, we get Fcount of 77.88 and Ftable at a significant level of 5% of 4.20. If Fcount is greater than Ftable then Ho is rejected and Ha is accepted (77.88> 4.20), so it can be concluded that there is a positive and significant influence on critical thinking skills and interest in independent learning. Furthermore, testing the determinant coefficient r2 = 0.735 or 73.5% critical thinking ability is influenced by interest in independent learning, while the rest is influenced by other variables of 26.5%.

The Stature Estimation Based on Cephalic Measurements in the Southwest Iranian Populations

: Evaluating the correlation and driving the regression formula between stature and cephalic dimensions when skull remains can only be available for forensic examination have been the targets of scientists for many years. The present research aimed to make a cephalic measurements database, suggesting a regression formula for stature reconstruction and computation of the cephalic index for the Lur and Arab populations dwelling in the southwest of Iran. In this cross-sectional analytical study, three cephalic measurements, including maximum cephalic length (MCL), maximum cephalic breadth (MCB), maximum auricular head height (MAHH), and total height, were taken in 200 healthy students (100 males and 100 females, aged 18 - 30 years old) studying at Abadan University of Medical Sciences. Our findings revealed significant gender differences in all mean cephalic measurements (P ≤ 0.05). According to the prediction final model, MCB and MAHH are effective variables in stature estimation. The stature estimation equation for southwest Iranian males and females is stature = 51.77 + 3.47 MCB + 3.86 MAHH + 0.53 MCL. The computation of the cephalic index represented that most female subjects had mesocephalic (medium-headed) and most male subjects had brachycephalic (short-headed) cephalic categories. This study showed a significant correlation between cephalic dimensions and stature. The obtained regression formula of this study can be used in medico-legal subjects to diagnose the personal identity of a southwest Iranian corpse.

Improving the quality and the technology of processed cheeses

This article investigates processed cheese's nutritional value and safety by adding vegetable additives (dry Spirulina powder). Processed cheese for lunch is taken as a basis for the formulation. As a control, we took cheese made according to classical technology. We used cheeses from cow's milk. We used combined raw materials in the developed technology: cow's and goat's milk cheeses. Spirulina was added to the formulation as an enrichment agent in the 1%, 2%, and 3% ratio, respectively. The sample with a 1% addition was found to be rational according to the results of the organoleptic evaluation. The formulation was optimised in further study by selecting 0.5%, 1.5% and 2%. A centre composite plot was used to add points around the pre-lagged optimum. A regression formula was obtained, and the melting salts and the dosage of the added enrichment agent were determined. Also, the share of cheese from goat's milk in the recipe of processed cheese was determined. The recipe was calculated on the principle of material balance. Experimental samples were examined for fatty acid and amino acid composition. The tables compare the best sample on organoleptic evaluation with the control. It was found that when 3% is added, the cheese acquires a dark green tinge. The colour is deep green when 2% is added; when 1% or less is added, the colour is salad. The dose of melting salts in the recipe was reduced to 2%; in the classic recipe, it was 3.9%. The protein of the experimental sample turned out to be closer to the ideal protein. PDCAAS is equal to 96.9, while in the control sample, PDCAAS is equal to 39.9. Also, when comparing the fatty acid composition, the thrombogenicity coefficient was lower in the experimental sample than in the control.

Study on the Temperature Field Change Characteristics of Coal Gangue Dumps under the Influence of Ambient Temperature in Heat Pipe Treatment

In order to investigate the influence of ambient temperature on the temperature field of coal gangue dumps governed by heat pipes (HPs), using self-developed heat pipe and intelligent cloud monitoring software, a 1-year field test was conducted in the spontaneous combustion coal gangue dump of Danao liang. This study analyzed the temperature distribution changes of a spontaneous combustion coal gangue dump under different ambient temperatures, as well as the temperature changes of the coal gangue at different time scales. Correlation analysis between ambient temperature and coal gangue temperature was conducted, and a quadratic regression model was established for goodness of fit and significance testing. The results show that ambient temperature affects the distribution of the temperature field of the spontaneous combustion coal gangue dump under the action of the HPs, and the cooling effect on the high-temperature zone is stronger in autumn and winter. The daily change in coal gangue temperature at each measurement point is similar, showing a peak-shaped curve of low at night and high during the day. The inter-day changes of each measuring point have seasonal characteristics: the cooling rate of the high-temperature zone measuring point is affected by the ambient temperature; the seasonal characteristics of the low-temperature zone measuring point are more obvious than the high-temperature zone, and its daily average temperature is affected by the ambient temperature. The ambient temperature and the internal temperature of the coal gangue dump are correlated, and the quadratic regression equation has a high degree of goodness of fit and meets the F-test, indicating that the quadratic regression model can be used for the empirical regression formula of the ambient temperature and the internal temperature of the coal gangue dump. The results of this study provide some references for the sustainable development of mining environments.

Penggunaan Media Sosial Youtube dan Wawasan Kebangsaan Mahasiswa Universitas Riau

This study was conducted in 2023 with the aim of assessing the influence of YouTube usage on the development of national insight among students at Riau University. The diverse array of content on YouTube pertaining to national insight necessitates careful filtration for subsequent utilization. A total of 268 students participated in this research, and data collection was carried out through the administration of questionnaires and documentation analysis. Quantitative analysis techniques, employing a simple linear regression formula, were employed for data processing.The research findings revealed that the utilization of YouTube at Riau University is at a notably high level, accounting for 78.65% of students. Furthermore, students' national insight also demonstrated a very favorable level. The independent variable, YouTube Social Media, was found to have a substantial influence on students' national insight, accounting for 23.2% of the variance. It is worth noting that other factors, such as student engagement and the individual understanding of national insight, may be influenced by variables not explicitly addressed in this study.

The effect of selective laser melting process parameters and remelting scanning strategy on relative density and surface hardness of stainless steel 316L

Selective laser melting (SLM) process is the foremost metal additive manufacturing (AM) technology that precisely generates complex geometries from CAD files. Mechanical behavior of printed parts is greatly affected by printing parameters and defining the optimal values of the process parameters to enhance the mechanical properties of components is highly regarded. In this work, four different SLM parameters including scanning speed, laser power, hatch spacing and scan pattern angle were applied to manufacture SS316L parts. For investigating the effect of each parameter and their interactions on hardness and relative density, Taguchi L16 orthogonal array was employed. The influence of part geometry and remelting is also evaluated in order to optimize the hardness and relative density of components. The results exhibited that the laser scanning speed was the most predominant SLM parameter for investigated mechanical properties. Analyzing the regression formula obtained from the results showed that the optimum laser energy density resulted in a 0.37% and 5.38% increase compared to the lowest relative density and hardness, respectively. High remelting energy associated with low remelting scanning speed, caused an 8.5% and 17.9% rise in hardness of squares and triangles, respectively; however, it led 12.5% reduction in hardness for circles. Remelting caused a 2.32% reduction, 2.1% increase and 5.3% rise on relative density for circles, squares and triangles, respectively.