Scaling Of Dimensions Research Articles

The effect of Ramadan fasting on mental health and some hormonal levels in healthy males

BackgroundMillions of Muslims around the world fast during the holy month of Ramadan as a requirement of their religion Islam. Studies have reported varying effects of Ramadan fasting on mental health and various hormones. This study aimed to examine the effects of Ramadan fasting on mental health and plasma Leptin, Ghrelin, Neuropeptide Y (NPY), Growth Hormone levels in healthy individuals, and to evaluate the possible relationship between their hormone values and scale scores. Male healthcare professionals working at a university hospital without any psychiatric disease were included in the study. In the last week before Ramadan and in the first week after Ramadan, participants’ blood samples were taken at 8.00 in the morning after 12 h of fasting, taking into account the release pattern and pulsatile release of these hormones in order to measure plasma Leptin, Ghrelin, NPY and Growth Hormone levels. Simultaneously, a sociodemographic data form, the Brief Symptom Inventory (BSI) and the Scale of Dimensions of Interpersonal Relationships were applied to participants.ResultsThe sample of the study included a total of 40 healthcare professionals. Participants’ BSI interpersonal sensitivity and phobic anxiety subscales scores and their general severity and positive symptom distress index scores decreased significantly after Ramadan compared to those measured before Ramadan. (p < 0.001, p = 0.020, p = 0.042, p = 0.006 respectively). Also participants’ ghrelin levels increased significantly after Ramadan compared to those measured before Ramadan (p < 0.001).ConclusionsThe effects of Ramadan fasting on mental health may be mediated by some psychoneuroendocrine mechanisms. In order to elucidate these mechanisms that mediate the effect of Ramadan fasting on mental health, there is a need for better-structured studies with larger samples and more variables.

Deep Featured Adaptive Dense Net Convolutional Neural Network Based Cardiac Risk Prediction in Big Data Healthcare Environment

In recent days, cardiac vascular disease has been one of the deadliest health-affecting factors causing sudden death. So, the importance of early risk prediction through feature analysis has become a big problem in data analysis because more nonlinear time series data increase the feature dimension. Irrelevant feature dimension scaling affects the prediction accuracy and leads to classification inaccuracy. To resolve this problem, we propose an Enhanced Healthcare data analysis model for cardiac data prediction using an adaptive Deep Featured Adaptive Convolution Neural Network for early risk identification. Initially, the preprocessing was augmented to formalize the time series data collected from the CVD-DS dataset. Then the feature evaluation was carried out with the Relative Subset Clustering (RSC) approach. The Cardiac Deficiency Prediction rate (CDPr) was estimated to identify the relational feature to subset margins. Based on the CDPr weight the feature is extracted using Cross-Over Mutual Scaling Feature Selection Model (CMSFS). The selected features get with a deep neural classifier based on logical neurons. They are then constructed into a Dense Net Convolution Neural Network (DN-CNN) classifier to feed forward the feature values and predict the Disease Affection Rate (DAR) by class category. The proposed system produces high prediction accuracy in classification, precision, and recall rate to support premature treatment for early cardiac disease risk prediction..

Hypnotic analgesia in chronic pain: role of psychopathology and alexithymia

ABSTRACT Although the belief that hypnotizability is a mental dysfunction has been refuted over time, there is still research today that seeks to explore and clarify this preconception. The results of recent research indicate that, on the contrary, greater psychopathology is more frequent in subjects with low hypnotic susceptibility. Using the Stanford Hypnotic Susceptibility Scale type A (SHSS-A) for hypnotizability, Symptom Checklist-Revised (SCL-90-R) for psychopathology, and the Somatosensory Amplification Scale (SSAS) and Toronto Alexithymia Scale (TAS-20) for psychosomatic dimensions, we found no relationship between baseline psychopathology, alexithymia and hypnotizability in 69 subjects with chronic pain in this retrospective observational study. Psychopathology did not affect the 2-month outcomes of hypnotic suggestions for pain in terms of either pain (assess using Italian Pain Questionnaire), anxiety or depression (assessed through Hospital Anxiety and Depression Scale) scores. Furthermore, i) no relationships were found between hypnotizability and degree of either psychopathology or alexithymia, definitively eliminating any doubts about the belief that hypnosis is a mental dysfunction; ii) only single hypnotic phenomena (SHSS-A) could be linked to some psychopathological dimensions; iii) analgesia suggestions also acted on anxiety and depression; and iv) the use of hypnotic suggestions for analgesia revealed a close relationship between improvements in sensorial and evaluative dimensions of pain and mitigation of anxiety. Hypnosis thereby seems to be a powerful tool in psychosomatic medicine whose effects on mind and body are inextricably linked.

Effects of Channel Length Scaling on the Electrical Characteristics of Multilayer MoS2 Field Effect Transistor

With the rapid miniaturization of integrated chips in recent decades, aggressive geometric scaling of transistor dimensions to nanometric scales has become imperative. Recent works have reported the usefulness of 2D transition metal dichalcogenides (TMDs) like MoS2 in MOSFET fabrication due to their enhanced active surface area, thin body, and non-zero bandgap. However, a systematic study on the effects of geometric scaling down to sub-10-nm nodes on the performance of MoS2 MOSFETs is lacking. Here, the authors present an extensive study on the performance of MoS2 FETs when geometrically scaled down to the sub-10 nm range. Transport properties are modelled using drift-diffusion equations in the classical regime and self-consistent Schrödinger-Poisson solution using NEGF formulation in the quantum regime. By employing the device modeling tool COMSOL for the classical regime, drain current vs. gate voltage (ID vs. VGS) plots were simulated. On the other hand, NEGF formulation for quantum regions is performed using MATLAB, and transfer characteristics are obtained. The effects of scaling device dimensions, such as channel length and contact length, are evaluated based on transfer characteristics by computing performance metrics like drain-induced barrier lowering (DIBL), on-off currents, subthreshold swing, and threshold voltage.

A transient coking model of hydrocarbon pyrolysis in hot pipe based on RPM analogy

In regenerative cooling channel, predicting the time-dependent cumulative behavior of wall coking associated with endothermic hydrocarbon fuel pyrolysis is critical which is deficient now. The growth of coke is similar to the gasification of solid in the phenomenon by observing the morphology evolution. In this study, a transient coking model C-RPM, which consists of pseudo-structure function and surface reaction function two parts, was constructed on the basis of random pore model (RPM) for the initial presence of catalytic coking process. After scaling in time dimension, a good agreement with the unsteady-state coking experiments of n-heptane (NC7) and methylcyclohexane (MCH) was achieved. Sensitivity analysis was performed and results showed the critical particle size dcrit and coke mass mcrit were the most important parameters affecting the coking curve. The coking space after particle fusion ψ(t) determines the mode of coke weight gain curve. A multi-stage periodic coking process may exist by inference.

GENETIC FEATURES OF TARPAN-LIKE HORSES OF THE POLISH PRIMITIVE (THE KONIK) BREED AND ESTABLISHMENT OF PHYLOGENETIC OF ANCIENT EGUIDS USING THE ISSR-PCR MARK

In the development of human society, the horse, compared to other domestic animals, played a central role. It became an integral part of the economic and intellectual development of ancient human settlements, a symbol of the transformation of subsequent great epochs. The last wild horse that survived in Ukraine until the end of the XIX century, according to many paleontologists, was the tarpan. However, this statement is still questioned. In the books and documents of old chroniclers and researchers we find descriptions of wild horses called tarpans, which could be found in the wooded areas of Poland, Lithuania and Prussia in the XVIII century. Emphasizing the forest existence of these horses, they received the Latin name Equii silvestris (forest horses). According to historical records, tarpans survived the longest in the wild in the vicinity of Bialowieza Forest, more or less until 1780, when they were finally caught and transferred to the Zoo of the Counts of Zamoyski (an influential Polish count) in the town of Zwierzyniec near the town of Bilhora in Lublin Voivodeship in eastern Poland. Around 1806, the zoo ceased to exist, and the horses were distributed to local peasants. Thus, we can assume that this is the last case of domestication of wild horses in Poland. The World Wide Fund for Nature (WWF) has launched a program to return the tarpan-like Polish horse to nature. Therefore, tarpan-like horses were brought to the Belarusian part of Belovezhskaya Pushcha and to the south-west of Latvia (1999) [11]. In 2009, with the consent of the Ministry of Environment of Ukraine and the Ministry of Nature Protection of Poland, horses of the descendants of the wild tarpan horse were brought to the territory of Yavoriv National Nature Park from Roztochansky National Park to preserve and reproduce the gene pool of these horses. However, the origin of the domestic horse and the history of most modern breeds remains unclear to this day. This is due to the fact that the bones of wild and domesticated horses are almost identical. The lack of diagnostic, anatomical and biometric criteria does not allow to determine the archaeozoological remains of the horse. To solve these problems molecular genetic analysis of horse DNA is used. With the use of molecular markers in research, there are new opportunities to study genetic diversity, as well as the definition of phylogenetic relationships at both intra- and interspecific levels. One of the types of genetic polymorphism research is ISSR-PCR - amplification of intermicrosatellite DNA fragments, the purpose of which is to conduct genetic monitoring in rocks in order to preserve the allelofund of a few rocks. (3) The aim of the work was to identify intraspecific genetic variability of tarpan-like horses of the Polish konik breed and to establish phylogenetic links between ancient equids (Pleistocene horse, real tarpan) using ISSR - fingerprinting. The material for the assessment of intraspecific and interspecific genetic variability and the establishment of phylogenetic relationships between modern horses and fossil remains of ancient horses were horses of the Polish konik breed (10 heads) of the Yavoriv National Nature Park of the Lviv Region. and fossil bones of horses of the Pleistocene period (about 10 thousand years BC), metacarpal bone (os. tarsicentral). The bone was found in Novgorod-Siversky, Chernihiv region during quarry construction work. The excavations were carried out by PI Borisovsky in 1935. A tooth found in the village of Tarpan was used to study a wild tarpan horse (4.5 thousand years BC). Skibnytsia, Trostyanets district, Vinnytsia region. Excavations were conducted in 1959 by VM Danylenko. The paleontological material that was studied was provided by the Kyiv National Museum of Natural History of the National Academy of Sciences of Ukraine, Department of Paleontology. It was found that the species-specific spectra of PCR products obtained by ISSR-PCR for species E.caballus are fragments of 380-400 np and 500-520 np. The breed-specific fragments of the DNA molecule inherent in horses of the Polish konik breed include spectra of amplification products with a size of 680-710 np. It was found that the genetic distances between the amplicons of ISSR-PCR markers of Polish horses and fossil remains of a Pleistocene horse were 0.0881 and between the remains of a real tarpan - 0.0845. The low value of the share of polymorphic loci (P) and the index of polymorphic information content (PIC) was revealed, which indicates a high degree of genetic consolidation of horses of the Polish konik breed and possible reproductive isolation of the population. It was established that the spectra of amplification products of horses of the Polish horse and fossil remains of Pleistocene horse and real tarpan by 97% on the universal scale of dimension of ISSR fragments in np belonged to "light" (A-35 - A-25) and "medium" -25 - A-13), which is a specific characteristic of E. caballus species.

Service Quality Dimensions of Higher Vocational Education: Based on a Survey of a Public Vocational College in South China

Due to different research tools, research objects and research periods, the research conclusions on the evaluation index system of China's higher vocational education service quality are quite different. Taking nearly 10000 students from a vocational college in Guangdong Province as samples and based on the SERVPERP model, this study revised the six dimensions scale of higher vocational education service quality, and discussed the optimization and application of the six dimensions through comparative analysis with other research conclusions.

DCNNBT: A NOVEL DEEP CONVOLUTION NEURAL NETWORK-BASED BRAIN TUMOR CLASSIFICATION MODEL

An early brain tumor diagnosis is crucial for effective and proactive treatment, which improves the patient’s survival rate. In this paper, we propose a novel Deep Convolutional Neural Network for Brain Tumor (DCNNBT), which detects and classifies brain tumors. The key differentiators of this paper are dimension scaling for image resolution, depth of layers, and width of channels with rigorous optimization of the hyperparameters. DCNNBT classifies and detects four types of brain tumors: benign, pituitary, glioma, and meningioma based on axial, coronal, and sagittal–coronal views. The DCNNBT was developed and tested on two public MRI datasets with more than 403,064 images containing four modalities for 872 patients. The performance of DCNNBT was evaluated against six well-established pre-trained deep learning (DL) models, including SE-ResNet-101, SE-ResNet-152, SENet-154, ResNet152V2, EfficientNetB0, and EfficientNetB5, through transfer learning. In the comparison, DCNNBT showed high accuracy of 99.18% for brain tumor classification, significantly higher than the other studies based on the same database.

Gaussian matrix product states cannot efficiently describe critical systems

Gaussian fermionic matrix product states (GfMPS) form a class of ansatz quantum states for 1d systems of noninteracting fermions. We show, for a simple critical model of free hopping fermions, that (i) any GfMPS approximation to its ground state must have bond dimension scaling superpolynomially with the system size, whereas (ii) there exists a non-Gaussian fermionic MPS approximation to this state with polynomial bond dimension. This proves that, in general, imposing Gaussianity at the level of the tensor network may significantly alter its capability to efficiently approximate critical Gaussian states. We also provide numerical evidence that the required bond dimension is subexponential, and thus can still be simulated with moderate resources.

Typification of gold deposits for evaluation and exploration purposes

The issues of choosing the parameters of the exploration network based on quantitative criteria of exploration: the accuracy of the assessment of average grades and the error of geometrization are considered. Acceptable values of criteria for C1 category reserves are established based on the results of the analysis of actual data. The typification of gold deposits is based on an assessment of the scale of deposits, their morphology and fractal dimension; an assessment of the variability of gold grade in samples or composites is also used. To assess geometrization errors at the early stages of geological exploration, a method for determining them based on the positions of fractal geometry and on the results of geostatistical studies is proposed.

STATUS KEBERLANJUTAN LAHAN SAWAH DI KABUPATEN TABANAN

The conversion of paddy fields that occurred in Tabanan district has caused concern because the number continues to increase every year. Of the various forms of agricultural land use, paddy fields are land that has undergone many changes in designation so that the conversion of paddy fields occurs rapidly and massively. The total area of ??paddy fields that decreased in the 5 years from 2016 to 2020 was 1,193.54 hectares. Seeing this phenomenon, it is important to know how the status of rice fields in Tabanan Regency is sustainable using five dimensions, namely economy, ecology, social, technology and institutional. The data were obtained through interviews with Pekaseh (kelihan subak) and farmers who carried out the conversion of paddy fields in nine subaks in nine sub-districts in Tabanan Regency, namely Pupuan, Penebel, Baturiti, Kediri, Tabanan, Kerambitan, Selemadeg, West Selemadeg, and East Selemadeg Districts. The analysis used is MDS (Multi Dimension Scaling) which is an adjustment of Rapfish using RSI TM Software (Rapid Sustainability Index) which was developed for the assessment of sustainability functions in general. The results showed that the multi-dimensional sustainability index obtained a value of 59.70 with a moderately sustainable sustainability status with the index value for each dimension being 74.56 for the ecological dimension with moderately sustainable status, 48.82 for the economic dimension with less sustainable status, 75.42 for the social dimension with sustainable status, 52.43 for the institutional dimension with moderately sustainable status and 47.25 for the technological dimension with less sustainable status. It is suggested that the local government of Tabanan Regency should to pay attention to the attributes that exist in the economic and technological dimensions so that it is expected to change its sustainability status to be quite sustainable, or sustainable and the attributes that exist in the ecological and institutional dimensions (sufficiently sustainable) can shift its status to continyu so that the value of the multi-dimensional index can increase.&#x0D; Keywords: conversion; paddy fields; sustainability status

Global city densities: Re-examining urban scaling theory

Understanding scaling relations of social and environmental attributes of urban systems is necessary for effectively managing cities. Urban scaling theory (UST) has assumed that population density scales positively with city size. We present a new global analysis using a publicly available database of 933 cities from 38 countries. Our results showed that (18/38) 47% of countries analyzed supported increasing density scaling (pop ~ area) with exponents ~⅚ as UST predicts. In contrast, 17 of 38 countries (~45%) exhibited density scalings statistically indistinguishable from constant population densities across cities of varying sizes. These results were generally consistent in years spanning four decades from 1975 to 2015. Importantly, density varies by an order of magnitude between regions and countries and decreases in more developed economies. Our results (i) point to how economic and regional differences may affect the scaling of density with city size and (ii) show how understanding country- and region-specific strategies could inform effective management of urban systems for biodiversity, public health, conservation and resiliency from local to global scales.200 word statement of contribution: Urban Scaling Theory (UST) is a general scaling framework that makes quantitative predictions for how many urban attributes spanning physical, biological and social dimensions scale with city size; thus, UST has great implications in guiding future city developments. A major assumption of UST is that larger cities become denser. We evaluated this assumption using a publicly available global dataset of 933 cities in 38 countries. Our scaling analysis of population size and area of cities revealed that while many countries analyzed showed increasing densities with city size, about 45% of countries showed constant densities across cities. These results question a key assumption of UST. Our results suggest policies and management strategies for biodiversity conservation, public health and sustainability of urban systems may need to be tailored to national and regional scaling relations to be effective.

Methodology for Improving High-Power Harmonic Measurement Accuracy and Stability

With continued dimension scaling of the semiconductor devices, the parasitic parameters become increasingly obvious and it affects the device performance directly. The harmonic distortion is one of the key factors to limit the RF system bandwidth resource and channel capability. Therefore, it is crucial to precisely extract the nonlinear index of the device and system. High-precision harmonic distortion extraction on a device’s intrinsic characteristics could be beneficial not only to device modeling but also to circuit design. However, the harmonic distortion measurement is highly sensitive to the peripheral circuit and instrumentations, especially in high power stimulus; its repeatability and stability are also hard to control. This paper aims to contribute to the subject by extending the measurement methodology, combining isolation compensation with a dual trace phase tuning (DTPT) technique to obtain the optimal harmonic value. As shown by the experiment results, the optimized approach could achieve high measurements of both accuracy and stability. The proposed methodology is validated with measurement data and compared with conventional measurement architecture. The assessment results prove that the proposed methodology could improve 30.66% and 28.84% measurement accuracy both on second and third harmonics. Simultaneously, the proposed methodology decreases gauge repeatability and reproducibility (GRR) from 56.49% to 7.13%.

The impacts of self-expectation leadership and organizational commitment on hand hygiene behavior of medical staff based on the theory of implicit leadership.

Hand hygiene behavior (HHB) in healthcare settings remains suboptimal globally. Self-expectation leadership and organizational commitment are emphasized as important factors influencing HHB. However, there are no studies to support any relationship between self-expectation leadership and organizational commitment to HHB. This study will fill the gap by applying implicit leadership theory (ILT) to support the further promote HHB among medical staff. A cross-sectional study of 23,426 medical staff was conducted in all second-level and third-level hospitals in Hubei province, China. Based on ILT, an online self-administered and anonymous questionnaire was designed for measuring the medical staff's self-expectation leadership, organizational commitment, and HHB based on Offermann's 8 dimensions scale, Chang's 3 dimensions scale, and the specification of hand hygiene for healthcare workers, respectively, in which self-expectation leadership was divided into positive traits and negative traits parts. The structural equation model was used to examine the direct, indirect, and mediating effects of the variables. Positive traits of self-expectation leadership had a positive effect on organizational commitment (β = 0.617, p < 0.001) and HHB (β = 0.180, p < 0.001). Negative traits of self-expectation leadership had a negative effect on organizational commitment (β = -0.032, p < 0.001), while a positive effect on HHB (β = 0.048, p < 0.001). The organizational commitment had a positive effect on HHB (β = 0.419, p < 0.001). The mediating effect of the organizational commitment showed positively between positive traits of self-expectation leadership and HHB (β = 0.259, p < 0.001), while negatively between negative traits of self-expectation leadership and HHB (β = -0.013, p < 0.001). Positive traits of self-expectation leadership are important predictors of promoting organizational commitment and HHB, while negative traits of self-expectation leadership have a limited impact on organizational commitment and HHB in the field of healthcare-associated infection prevention and control. These findings suggest the need to focus on positive traits of self-expectation leadership; although negative traits of self-expectation leadership can also promote HHB to a lesser degree among medical staff, it will reduce their organizational commitment.

Statistical mechanics of phase transitions in elastic media with vanishing thermal expansion.

We consider a minimal spin model for Ising transitions in an isotropic elastic medium in the zero thermal expansion (ZTE) limit. We set up the elastic theory for this system. We use this theory to identify and study the nature of the fluctuations in the system near the second order phase transitions at T_{c} in the ZTE limit given by dT_{c}/dV=0, where V is the system volume, and explore anomalous elasticity. Allowing for the local strain to couple asymmetrically or selectively with the states of the order parameter, we uncover the dramatic effects of these couplings on the fluctuations of the local displacements near T_{c}, and also on the nature of the phase transition itself. Near second-order phase transitions and with weak asymmetry in the order parameter-strain couplings, the variance of the displacement fluctuations in two dimensions scale with the system size L in a universal fashion as [ln(L/a_{0})]^{2/3}; a_{0} is a small-scale cutoff. Likewise, the correlation functions of the difference of the local displacements at two different points separated by r scale as [ln(r/a_{0})]^{2/3} for large r. For stronger selectivity above a finite threshold, this variance diverge as L exceeds beyond a (nonuniversal) size, determined by the model parameters, signaling a transition to a phase with only short-range order or the loss of the positional order of the elastic medium. At dimensions higher than two, for sufficiently weak selectivity, the variance of the displacement fluctuations is L-independent corresponding to long-range order. However, if the selectivity parameters rise beyond a dimension-dependent threshold value, then again the positional order is lost with a concomitant transition to a phase with short-range order. Large values of the order parameter-strain couplings can turn the phase transition into a first order as well. Our theory establishes a one-to-one correspondence between the order of phase transitions and anomalous elasticity near the transitions. Our theory should be a useful guide to possible synthesis of appropriate ZTE materials.

Sensory Symptoms and Effects on Health-related Quality of Life of Patients Undergoing Lumbar Spine Surgery

BackgroundPatients with lumbar degenerative spine diseases (LDSDs) commonly report sensory symptoms before and after lumbar spine surgery. AimTo explore the changing patterns of sensory symptoms—namely pain, numbness, stinging, itching, and burning—and investigate the influences of sensory symptom changes on the health-related quality of life (HRQoL) of patients who experienced lumbar spine surgery. MethodsAll sensory symptoms (i.e., pain, numbness, paresthesia) were measured using a visual analog scale. The Chinese versions of the Oswestry Disability Index, Pittsburgh Sleep Quality Index, Clinically Useful Depression Outcome Scale, and EuroQol-five dimensions (EQ-5D) Scale were used to assess patients 1 week prior to surgery and 6 weeks and 6 months after surgery. A generalized estimating equation was used for data analysis. ResultsA total of 101 patients with mean age of 58.38 years were included. All sensory symptoms declined significantly over time (all p < .05) with the exception of itching (feeling on toes and thighs). Patients experiencing moderate-to-severe pain had poorer QoL over time, even after controlling for other sensory symptoms and potential confounders. ConclusionsSensory symptoms gradually declined after surgery, but itching symptom did not. Moderate-to-severe pain was the only sensory symptom that influenced HRQoL over time in patients with LDSDs.

Tensor Networks Can Resolve Fermi Surfaces.

We demonstrate that projected entangled-pair states are able to represent ground states of critical, fermionic systems exhibiting both 1d and 0d Fermi surfaces on a 2D lattice with an efficient scaling of the bond dimension. Extrapolating finite size results for the Gaussian restriction of fermionic projected entangled-pair states to the thermodynamic limit, the energy precision as a function of the bond dimension is found to improve as a power law, illustrating that an arbitrary precision can be obtained by increasing the bond dimension in a controlled manner. In this process, boundary conditions and system sizes have to be chosen carefully so that nonanalyticities of the Ansatz, rooted in its nontrivial topology, are avoided.

Variable Dimensional Scaling Method: A Novel Method for Path Planning and Inverse Kinematics

Traditional methods for solving the inverse kinematics of a hyper-redundant manipulator (HRM) can only plan the path of the end-effector with a complicated solving process, where obstacle avoidance is also not considered. To solve the above problems, a novel method for solving inverse kinematics of HRM is proposed in this paper: the variable dimension scaling method (VDSM), which can solve complex inverse kinematics while avoiding obstacles. Through this method, the path of the end-effector is scaled under a certain proportion and is adjusted depending on the position of the obstacle, which has good universality. The number of link angles changed is as small as possible in the process of achieving the end-effector moving along the desired path. With the redundancy of HRM, obstacle avoidance can be implemented in any environment by the proposed method. Through simulation and experiments in different environments, the above advantages of VDSM are verified.

Case Report of Menopausal Vasomotor Symptoms (Heat Flashes and Sleep Disorders) in a Middle-Aged Female Patient Treated with Korean Medicine

Objectives: The purpose of this study is to report on the efficacy of Korean medical treatment for treating menopausal vasomotor symptoms (heat flashes and sleep disorders).Methods: We treated a menopausal female patient with heat flashes and sleep disorders using Korean medical treatments (herbal medicines, acupuncture, pharmacopuncture, moxibustion, and chuna). To evaluate the results of this treatment, we used Kupperman’s Index and the Numerical Rating Scale to measure heat flashes and total sleeping time, respectively. The patient’s general health status was evaluated using the European Quality of Life 5 Dimensions Scale.Results: We observed improvements in Kupperman’s Index, the Numerical Rating Scale, the patient’s total sleeping time, and the European Quality of Life 5 Dimensions Scale following the treatments.Conclusions: This study suggests that Korean medicine may be an effective treatment for menopausal vasomotor symptoms (heat flashes and sleep disorders).

A Case Report of Chronic Gastritis in a Patient with Spinal Stenosis Hospitalized at a Korean Medicine Hospital and Treated with Korean Medicine

Objectives: The purpose of this study is to report the efficacy of applying Korean medical treatment to chronic gastritis.Methods: We treated a chronic gastritis patient with Korean medical treatments (herbal medicines, acupuncture, and herbal acupuncture therapy). To evaluate the results of this treatment, we took measurements using the Gastrointestinal Symptom Rating Scale and Visual Analogue Scale for abdominal pain, heartburn, nausea, and abdominal distension. The patient’s generic health status was evaluated using the European Quality of Life 5 Dimensions Scale.Results: Improvements in gastrointestinal symptom ratings and the European Quality of Life 5 Dimensions Scale were observed after the treatments. Relief of symptoms was observed in abdominal pain, heartburn, nausea, vomiting, and abdominal distension using the Visual Analogue Scale.Conclusions: This study suggests that Korean medicine may be effective in the treatment of chronic gastritis.