Quantitative Objective Research Articles

Measuring body composition in dogs using bioelectrical impedance spectroscopy

Assessment of body composition is an essential aspect of veterinary canine care, particularly as prevalence of overweight and obesity in dogs is increasing. Few quantitative objective methods for body composition measurement are available for routine clinical use. Bioelectrical impedance analysis is widely used in human medicine and nutritional assessment and although it has shown promise in production animals it has not yet been adopted for companion animals. The present study validated bioimpedance spectroscopy (BIS) against the reference method of dual-energy X-ray absorptiometry.Resistivity coefficients for use in BIS were determined: ρe = 444.8 and ρi = 1477.8 ohm.cm and used to predict fat-free mass (FFM) in a cohort of 35 mixed breed dogs. Overall, FFM was predicted to within 3.5% of reference values. At an individual level, FFM was predicted within 2 standard deviations (95% confidence) of 10%. BIS provides an objective quantitative alternative to the widely used semi-quantitative body condition scoring. In addition, BIS provides estimates of body water volumes (total, extra-and intracellular), information that can be useful in fluid management. BIS is inexpensive, and simple to perform but does require brief (<5 min) sedation of the animal.

Optimal Program Synthesis via Abstract Interpretation

We consider the problem of synthesizing programs with numerical constants that optimize a quantitative objective, such as accuracy, over a set of input-output examples. We propose a general framework for optimal synthesis of such programs in a given domain specific language (DSL), with provable optimality guarantees. Our framework enumerates programs in a general search graph, where nodes represent subsets of concrete programs. To improve scalability, it uses A * search in conjunction with a search heuristic based on abstract interpretation; intuitively, this heuristic establishes upper bounds on the value of subtrees in the search graph, enabling the synthesizer to identify and prune subtrees that are provably suboptimal. In addition, we propose a natural strategy for constructing abstract transformers for monotonic semantics, which is a common property for components in DSLs for data classification. Finally, we implement our approach in the context of two such existing DSLs, demonstrating that our algorithm is more scalable than existing optimal synthesizers.

Pengaruh Modernisasi Administrasi Perpajakan, Sanksi Pajak, Dan Pemahaman Perpajakan Terhadap Kepatuhan Wajib Pajak Orang Pribadi

Tax revenue is the largest revenue and income received by the state to realize the welfare of the Indonesian people. This study aims to analyze the effect of modernization of tax administration, tax sanctions, and knowledge of taxation on compliance of individual taxpayers at KPP Pratama Surabaya Rungkut. The research was quantitative method and use primary data objects obtained from distributing questionnaires. The results of this study indicate that modernization of tax administration, tax sanctions, and knowledge of taxation affect the compliance of individual taxpayers at KPP Pratama Surabaya Rungkut.&#x0D; Keywords: Modernization Of Tax Administration, Tax Sanctions, Knowledge Of Taxation, Individual Taxpayer Sompliance

The role of SRF in achieving the EU landfill targets in the Umbria Region, Italy

In December 2015, the European Commission published the circular economy package “Closing the loop - An European action plan for the Circular Economy” with four quantitative objectives: long-term recycling targets for municipal waste (55% in 2025, 60% in 2030 and 65% in 2035) and landfill target of 10% by 2030. In Umbria (Italy) 43% of waste are landfilled in 2020, so the region is far from the European target. Hence, it is significant to analyse different strategies to improve the waste management in the region. In particular, the main issue is how to reduce waste landfill in the most efficient way. The SRF and waste-to-energy approaches are the most interesting to study as a substitute for landfilling. In the communication “The role of waste-to-energy in the circular economy”, the European Commission clarifies the position covered by the different energy processes in the waste hierarchy and identifying the technologies with the highest potential in terms of efficient management of resources and environmental impact. Among the most efficient waste-to-energy technologies, the document mentions the gasification of recovered solid fuel (SRF) and co-incineration of the resulting synthesis gases in the combustion plant to replace fossil fuels in the production of electricity and heat and co-incineration in the cement production. The European Commission recognizes the important role of energy recovery in the transition to the circular economy, if this does not stop the improvement in recycling rates. In this paper, MSW management policy in Umbria (Italy) and possible solutions are discussed. The paper considers three scenarios in the management of MSW: i) direct combustion of residual waste in waste-to-energy plants; ii) combustion of SRF in waste-to-energy plants; iii) combustion of F-SRF in dedicated plants (cement plant). All three scenarios may be able to match the 10% landfill EU target.

Systemic Treatment with siRNA Targeting Gamma-Secretase Activating Protein Inhibits Amyloid-β Accumulation in Alzheimer's Disease.

Amyloid-β (Aβ) peptide aggregation in the brain is a key factor in Alzheimer's disease. However, direct inhibition of β-secretase or γ-secretase proves ineffective in reducing Aβ accumulation and improving cognition in Alzheimer's. Recent findings suggest that inhibiting gamma-secretase activating protein (GSAP) can decrease Aβ generation without affecting crucial γ-secretase substrates. Dimerization of Lep9R3LC (diLep9R3LC) was confirmed by Ellman's test. The peptide-small interfering RNA (siRNA) complex ratio, particle size, and surface charge were analyzed using electrophoretic mobility shift assay, and dynamic light scattering, respectively. In a 3xTg mice model of Alzheimer's disease, diLep9R3LC:siRNA complexes were intravenously administered twice a week for 8 weeks. Assessments included gene silencing, protein expression, and behavioral improvement using reverse transcription polymerase chain reaction, quantitative polymerase chain reaction, western blotting, Y-maze, and object recognition tests. The efficacy of Lep9R3LC dimerization was ~80% after a 3-d reaction by Ellman's test. In N2a cells, diLep9R3LC:siGSAP complexes achieved ~70% silencing at 48 h posttransfection. In 7-month-old male 3xTg mice, GSAP knockdown was ~30% in the cortex and ~50% in the hippocampus. The behavior improved in mice treated with diLep9R3LC:siGSAP complexes, showing a 60% increase in entries and an 80% increase object recognition. A novel dipeptide, diLep9R3LC, complexed with siRNA targeting GSAP (siGSAP), efficiently delivers siRNA to the mouse brain, targeting the hippocampus. The treatment inhibits Aβ accumulation, reduces GSK-3β-associated with tau hyperphosphorylation, and improves Alzheimer's behavior. Our findings highlight diLep9R3LC:siGSAP's potential for Alzheimer's and as a siRNA carrier for central nervous system-related diseases.

Features of oculomotor activity (eye movement) in patients with schizophrenia in recognizing essential signs using the example of the "Exclusion of the 4th superfluous" technique

The research is devoted to the study of the specifics of oculomotor activity of patients with schizophrenia when solving the cognitive task of searching for common (similar) signs in 4 stimulus images and, on this basis, the exclusion of 1 superfluous object on the cards of the "Exclusion of the 4th superfluous" technique. Oculomotor activity is a reliable biomarker of both conscious and unconscious cognitive processes, and eye movement patterns serve as a quantitative (objective) characteristic of the process of perception, attention and thinking in real time. When solving cognitive tasks, the subject of study was the mental processes of patients with schizophrenia: comparison, classification, generalization, abstraction, which were revealed in the responses of patients in the "Exclusion of the fourth superfluous" technique. The respondents' answers were analyzed depending on the level of generalization: by categorical and functional criteria, by specific situational criteria, and latent criteria. To assess the characteristics of oculomotor activity, the AI tracker method was used using a hardware and software complex for contactless registration of human oculomotor activity. To assess the characteristics of mental activity, the “Exclusion of the fourth superfluous" technique was used. Patients with schizophrenia demonstrate difficulties in the recognition process, there is an emphasis on individual parts of the image, as well as: chaotic movements of the gaze between objects and their details. This indicates the need for a longer time period for image recognition, as well as difficulties in analyzing and identifying common essential features of objects (images), as a result of which schizophrenia patients carry out mental generalization operations based on a variety of, more often insignificant and latent signs, which is reflected in making the "wrong" decision. The study of eye movement during the solution of such mental tasks has shown that the characteristics of the gaze during the search for common features reflect the mental acts of comparison and generalization of essential features and can provide objective information about the difficulties and violations of the produced. As a result of the study, it was concluded that the features of oculomotor activity in patients with schizophrenia are closely related to disorders of cognitive processing of visual information at early levels of the thought process. Eye movements in solving cognitive tasks accompany the mental process of searching and selecting significant features from the general background of diverse visual information and reflect the difficulties of its selection.

Intensifying Tāmaki Makaurau Auckland: Some Higher-Density Housing Outcomes After the Adoption of the Auckland Unitary Plan of 2016

Tāmaki Makaurau Auckland’s housing paradigm has been in a process of transition since the 1990s, following a radical overhaul of planning legislation intended to address the city’s continuing growth. Also driven by the imperatives of sustainable urban planning, the city has subsequently adopted a series of resource management policy revisions each designed to intensify the city’s urban form by increasing permissible density of housing development. The Auckland Unitary Plan (AUP) is the most significant of these revisions. Since its adoption in 2016, the city has gained more than 50,000 housing units representing all the standard typologies ranging from detached houses to apartments in high-rise buildings. The AUP’s purpose is to increase housing supply by reducing regulations without reducing other goals relating to sustainability of urban form. However, Tāmaki Makaurau Auckland continues to suffer from a housing shortage. This paper explores some of the data collected in a study of ninety higher-density developments within the Metropolitan Urban Limit completed under the AUP regulations. Its conclusions note the success of quantitative objectives of current policies while questioning other objectives, including the aim to supply affordable housing, and the aspirational proposition that the regulations proposed by the AUP will achieve high standards of design quality.

Methodological approaches to assessing population-level impacts of bird collisions with wind turbines: a critical perspective

SummaryWind energy is a source of collision fatalities for birds and bats. To evaluate the risk that wind power development projects might pose to the conservation of protected species, it is essential to quantify the impact of collisions on the dynamics of wild populations. To address this challenge, two approaches are primarily employed: potential biological removal (PBR) and population projection analysis (PPA). PBR is a decision rule designed to calculate a sustainable fatality limit for a given population, whereas PPA relies on simulation-based modelling to forecast a population’s future trajectory under various scenarios. In the context of environmental impact assessments (EIAs), we argue that PPA offers a more suitable method than PBR for evaluating population-level impacts resulting from collisions with wind turbines. Unlike PBR, PPA can be focused on a single source of disturbance, aligning with the perspective of the EIA process. By contrast, PBR necessarily adopts a population-centred perspective and is therefore only relevant when considering all sources of mortality that jointly affect a population. Furthermore, robust utilization of the PBR approach requires the definition of quantitative conservation objectives and the implementation of a comprehensive management strategy evaluation, neither of which is ever undertaken within the context of an EIA.

Pengaruh Jumlah Unit Usaha, Investasi, dan Nilai Produksi terhadap Penyerapan Tenaga Kerja pada Industri Kecil di Kota Banjarmasin

This study aims to measure the effect of the number of business units, investment, and production value on the workforce in small industries in Banjarmasin City. The scope of the research is labor in small enterprises in Banjarmasin City. The type of research used in measuring delivery in small enterprises in the City of Banjarmasin is quantitative research; quantitative data and objective statistics are calculated scientifically from data obtained from the Central Statistics Agency of Banjarmasin City. The results of this study are that there is a joint influence between the number of business units, investment, and production value on labor in small industries in Banjarmasin City. At the same time, the number of business units in small enterprises in Banjarmasin City partially has a significant influence; in line with the results of the test, the most dominant variable influencing is the number of business units in the workforce in small industries in Banjarmasin City.

Pathophysiology and surgical decision-making in central cord syndrome and degenerative cervical myelopathy: correcting the somatotopic fallacy.

Our understanding of Central Cord Syndrome (CCS), a form of incomplete spinal cord injury characterized by disproportionate upper extremity weakness, is evolving. Recent advances challenge the traditional somatotopic model of corticospinal tract organization within the spinal cord, suggesting that CCS is likely a diffuse injury rather than focal lesion. Diagnostic criteria for CCS lack consensus, and varied definitions impact patient identification and treatment. Evidence has mounted for early surgery for CCS, although significant variability persists in surgical timing preferences among practitioners. A demographic shift toward an aging population has increased the overlap between CCS and Degenerative Cervical Myelopathy (DCM). Understanding this intersection is crucial for comprehensive patient care. Assessment tools, including quantitative measures and objective evaluations, aid in distinguishing CCS from DCM. The treatment landscape for CCS in the context of pre-existing DCM is complex, requiring careful consideration of pre-existing neurologic injury, patient factors, and injury factors. This review synthesizes emerging evidence, outlines current guidelines in diagnosis and management, and emphasizes the need for ongoing research to refine our understanding and treatment strategies for this evolving patient population.

Prevalence of Obesity and Lifestyle Risk Factors Following Two Years' COVID-19 Related Service Closure at Wellness Center, Primary Health Care.

COVID-19 lockdown has affected health behaviors and daily life in unprecedented ways. This study aimed to assess (i) the prevalence of lifestyle behaviors including physical activity, sedentary behavior, sleep, and stress levels during the COVID confinement, and (ii) evaluate anthropometric measures, body composition, cardiopulmonary and muscular endurance among regular Wellness Center attendees, following two years' service closure. A cross-sectional study was undertaken between 1st June 2022 and 30th January 2023. A structured validated questionnaire was utilized to retrospectively collect data related to the closure period, and quantitative objective measurements were obtained at the time of data collection. A total of 100 adults with a mean age of 49.6 ± 10.5 years, mostly female (80%) and Qatari (76%) participated in the study. The results revealed high rates of low physical activity (47%), sedentary behavior (62%), poor sleep (58%), and stress levels (61% moderate and 5% high). Results also confirmed high prevalence of obesity (57%) marked by BMI and body circumferences, fat mass (34 ± 10.5 kg)/fat percentage (42.7 ± 7.2%) and muscle mass (20.6 ± 5.4 kg)/muscle percentage (25.4 ± 3.9%) above and below normal levels, respectively. The average cardiopulmonary (mean VO2 MAX was 15.5 ± 11 mL O2kg-1min-1) and muscular endurance (pushups per min 19 ± 8.9, L-sit 46 ± 35 secs, plank 42.7 ± 27.8 secs) were distinctly below normal levels for age and sex. The findings indicate that physically active adults have experienced adverse lifestyle behaviors during the COVID-19 lockdown. Obesity, unfavorable body composition, low cardiopulmonary and muscular endurance were evident. More emphasis should be put on the development of targeted intervention strategies to promote positive lifestyle behaviors during any potential future crises.

Quantifying Clinical Trial Diversity in Pivotal Registration Trials of FDA Novel Drug Approvals.

Health care inequity includes the lack of adequate representation of various populations in clinical trials. Government, academic and industry organizations have highlighted these issues and committed to actions to improve. In order to assess the current status and future success of these initiatives a quantitative objective measure to assess the state of clinical trial diversity is needed. FDA review documents for all novel drug approvals from January 2022 through March 2023 were assessed using a scorecard that considers diversity across different demographic subgroups including age (≥ 65 years old), sex (female), race (Black and Asian) and ethnicity (Hispanic/Latino). The scorecard assigns each drug a letter grade, between A and F, for each subgroup (and overall) based on (1) the percent of each sub-population included in the trials and grades relative to the percent of the US population per the 2020 Census, (2) the number of participants from each subpopulation that received the novel new drug in the trials, (3) the incidence or prevalence of the disease/condition in each of the sub-populations. The FDA approved 49 novel new drugs for 50 indications (one drug was simultaneously approved for two indications). There was good representation of elderly and females with only two drugs receiving a D grade in either of these sub-populations. In contrast, Black (5 F grades) and Hispanic (4 F grades) representation was often inadequate. There were 10 drugs (20.0%) where there were no Black participants receiving the novel new drug and 16 (32.0%) approvals where there were 1-9 Black participants receiving the novel drug. In the Hispanic/Latino population there were 4 (8.0%) approvals with no Hispanic participants receiving the novel drug and 15 (30.0%) approvals where there were 1-9 Hispanic participants receiving the drug. This scorecard provides an objective quantitative approach to assess the current state of diversity in clinical trials supporting new drug approvals. Substantial improvement in racial and ethnic representation is needed. Meaningful change will require actions and cooperation among all stakeholders to address this multifaceted issue and will take commitment, perseverance, and appropriate incentives.

Quantitative Electroencephalography Objectivity and Reliability in the Diagnosis and Management of Traumatic Brain Injury: A Systematic Review.

Background. Persons with a history of traumatic brain injury (TBI) may exhibit short- and long-term cognitive deficits as well as psychiatric symptoms. These symptoms often reflect functional anomalies in the brain that are not detected by standard neuroimaging. In this context, quantitative electroencephalography (qEEG) is more suitable to evaluate non-normative activity in a wide range of clinical settings. Method. We searched the literature using the "Medline" and "Web of Science" online databases. The search was concluded on February 23, 2023, and revised on July 12, 2023. It returned 134 results from Medline and 4 from Web of Science. We then applied the PRISMA method, which led to the selection of 31 articles, the most recent one published in March 2023. Results. The qEEG method can detect functional anomalies in the brain occurring immediately after and even years after injury, revealing in most cases abnormal power variability and increases in slow (delta and theta) versus decreases in fast (alpha, beta, and gamma) frequency activity. Moreover, other findings show that reduced beta coherence between frontoparietal regions is associated with slower processing speed in patients with recent mild TBI (mTBI). More recently, machine learning (ML) research has developed highly reliable models and algorithms for the detection of TBI, some of which are already integrated into commercial qEEG equipment. Conclusion. Accumulating evidence indicates that the qEEG method may improve the diagnosis and management of TBI, in many cases revealing long-term functional anomalies in the brain or even neuroanatomical insults that are not revealed by standard neuroimaging. While FDA clearance has been obtained only for some of the commercially available equipment, the qEEG method allows for systematic, cost-effective, non-invasive, and reliable investigations at emergency departments. Importantly, the automated implementation of intelligent algorithms based on multimodally acquired, clinically relevant measures may play a key role in increasing diagnosis reliability.

Aspartate aminotransferase to platelet ratio at admission can predict the prognosis of patients with hemorrhagic fever with renal syndrome.

Early indicators are needed to predict the prognosis of patients with hemorrhagic fever with renal syndrome (HFRS). Aspartate aminotransferase to platelet ratio index (APRI) has been shown to be related to mortality risk of patients with various diseases. This study evaluated the prognostic value of APRI and other inflammatory scores in HFRS patients. Data of hospitalized HFRS patients from a tertiary hospital in northwest China were collected and the inflammatory scores such as APRI and neutrophil to lymphocyte count ratio (NLR) were calculated at the day of patient admission. Independent factors related to the survival of patients were determined by multivariate logistic regression. Receiver operating characteristic curve was used to analyze the predictive value, and area under the curve (AUC) and 95% confidence interval (CI) were calculated for quantification. Of the 317 HFRS patients included in study, 15 patients died. Age (OR: 1.10, 95%CI: 1.04-1.16, p = 0.001), NLR (OR: 1.11, 95%CI: 1.02-1.19, p = 0.01), and APRI (OR: 1.06, 95%CI: 1.03-1.10, p = 0.001) were quantitative objective factors independently associated with the survival of patients. APRI had an AUC of 0.95 (95% CI: 0.91-1.00, p < 0.001) for predicting the prognosis of patients, with a sensitivity of 93.3% and a specificity of 86.8%. The performance of APRI was better than that of age or NLR. Patients with an APRI ≥ 6.15 had significantly decreased survival compared with those with an APRI < 6.15. In conclusion, this simple index APRI calculated at admission can serve as a biomarker to identify HFRS patients at risk of poor prognosis.

Critical Assessment of Condensate Boundaries in Dual-Color Single Particle Tracking.

Biomolecular condensates are membraneless cellular compartments generated by phase separation that regulate a broad variety of cellular functions by enriching some biomolecules while excluding others. Live-cell single particle tracking of individual fluorophore-labeled condensate components has provided insights into a condensate's mesoscopic organization and biological functions, such as revealing the recruitment, translation, and decay of RNAs within ribonucleoprotein (RNP) granules. Specifically, during dual-color tracking, one imaging channel provides a time series of individual biomolecule locations, while the other channel monitors the location of the condensate relative to these molecules. Therefore, an accurate assessment of a condensate's boundary is critical for combined live-cell single particle-condensate tracking. Despite its importance, a quantitative benchmarking and objective comparison of the various available boundary detection methods is missing due to the lack of an absolute ground truth for condensate images. Here, we use synthetic data of defined ground truth to generate noise-overlaid images of condensates with realistic phase separation parameters to benchmark the most commonly used methods for condensate boundary detection, including an emerging machine-learning method. We find that it is critical to carefully choose an optimal boundary detection method for a given dataset to obtain accurate measurements of single particle-condensate interactions. The criteria proposed in this study to guide the selection of an optimal boundary detection method can be broadly applied to imaging-based studies of condensates.

The Influence of Principal Leadership Behavior and Work Environment on Teaching Satisfaction of High School Teachers

This study aimed to determine the effect of the principal's leadership behavior and work environment on teacher teaching satisfaction at Teladan Private Senior High School Pematang Siantar. The problems discussed in this study are the principal's leadership behavior and the work environment that affect teacher teaching satisfaction at Teladan Private High School Pematang Siantar. This study uses a quantitative approach, namely the measurement of quantitative data and objective statistics through scientific calculations derived from the sample/population who were asked to answer a number of questions about the survey to determine the frequency and percentage of responses. According to the results of hypothesis testing, it was found that the leadership and work environment together influences the teaching satisfaction of Teladan Private Senior High School teachers. Based on the results of data processing, it is stated that Leadership (X1) has increased by 1%, so teacher job satisfaction (Y) will increase by 0.284, and work environment (X2) has increased by 1%, teaching job satisfaction (Y) will increase by 0.198.

Method of Objective Assessment of Proprioceptive Perception of Leg and Foot Movements in Humans

Previously, we developed a method for objective assessment of the state of proprioceptive perception of movements of the upper limb. In order to test this method for assessing the proprioceptive perception of lower limb movements, we studied the accuracy of copying with open and closed eyes a series of passive single-joint movements of the tested leg directly during their execution with the help of active movements of the other leg. Flexion-extension copying in the knee and ankle joints was studied in 30 healthy subjects for both legs and in 40 patients with unilateral stroke for the paretic leg. The accuracy of copying movements was assessed by recording the angles in the tested joint and the joint of the same name of the opposite limb using qualitative and quantitative objective indicators. It was shown that healthy subjects, both under visual control and without it, copy the passive movements of the right and left legs with high accuracy and almost simultaneously. Based on the study of the values of qualitative and quantitative indicators of copying accuracy, an objective conditional criterion for the preservation of proprioceptive perception of movements in the knee and ankle joints was formulated. In contrast to healthy subjects, in the group of patients, the results of copying with open and closed eyes were significantly different. In tests with open eyes, the copying of movements was qualitatively correct, which indicates that they understood the motor task of the test and were able to perform it with a conditionally healthy leg. In the absence of visual control, most of them either made gross errors in the transmission of the direction and number of the tested movements, or reproduced movements with a significant deterioration in accuracy (increased delays, shape distortion, etc.). It was shown that the proprioceptive perception of movements in the ankle joint was disturbed more often and more strongly than movements in the knee joint. In accordance with the developed conditional criterion of the norm, in 69% of patients there was a violation of the proprioceptive perception of movements in the knee and/or ankle joints.

Status Quo and Prospects of Research on Precision Nursing of Life-Cycle Health and Disease

With the changing lifestyle and spectrum of diseases among Chinese people, the life-cycle approach to health has been given national strategic importance. Over the past decade, global nursing researchers have gradually started to pay more attention to the research related to precision nursing at different stages of the life cycle. Researchers have applied multi-omics to explore the pathogenesis and novel biomarkers of relevant symptoms in tumor patients or patients with chronic diseases in order to manage symptoms with better precision. However, systematic theories of precision nursing of life-cycle health and disease have not yet been developed, and the research field and its implications still need to be continuously expanded and innovated. In the nursing discipline, the advantages of interdisciplinary integration should be given full play and the precise and effective resolution of life-cycle health problems should be taken as its goal. Through accurately defining key quantitative objective indicators of nursing care, the nursing discipline will be able to achieve early identification of life-cycle health problems, clarify the occurrence and patterns of change in life-cycle health problems, and gain a better understanding of the regulatory mechanisms. Precise and effective nursing-related technologies and products of non-medication and non-surgery nature should be developed to achieve better precision in nursing interventions, thereby effectively promoting recovery from diseases and improving the overall health of the people.

Financing Planning in New Normal Era for Increasing Profit

This article aims to see literature studies related to financial planning with profitability, and given a perception from researchers, The method used in this scientific article is qualitative with literature studies derived from existing scientific articles related to the variables in this study, This scientific article provides reinforcement from the findings of literature studies from the literature of scientific articles and justification of two variables that exist absolutely, especially proprietary articles (Blazek et al., 2023) by saying that there is a correlation between financial planning variables and Profitability, but different objects, where this scientific article discusses the new era post covid 19. Researchers who will conduct research with variables in this scientific article can develop scientific articles with accompanying variables that can make differentiators and new findings both quantitative models, theories or research objects.

A new near-infrared spectral transformation method for quantitative analysis

The existing near-infrared spectrum preprocessing methods are limited in improving the performance of prediction models for quantitative analysis because they are hard to extract furthermore valid information from the complex near-infrared spectra. This paper proposes a new near-infrared spectral transformation method based on the Gaussian-curve-fitting—adaptive full-rank fitting integral (AFFI) transformation, which can automatically adapt to different spectral shapes and fully display the useful information hidden in the waveforms. In this method, the optimal bandwidths of the Gaussian functions are determined by correlation analysis between waveform and bandwidths; the heights of the Gaussian functions are obtained by constructing and solving the curve-fitting equations; the transformation is realized by integrating these Gaussian functions. In the experiments, the variation of the Pearson correlation coefficient between the near-infrared spectral bands and quantitative analysis object is used to demonstrate the effectiveness of the proposed method. Finally, the partial least squares (PLS) method was used to build prediction models of quantitative analysis. The experimental results of two different near-infrared spectral data sets show that the proposed method has obvious advantages with some existing pretreatment and transformation methods.