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Digitization makes knowledge and information a centerpiece since these connect all dimensions affected by innovation, i.e., people, processes, organization, business, and technology. Maturity Models (MMs) support managers in this evolution. The paper provides a theoretical formalization of MMs to give a practical knowledge contribution to increasing the intensiveness of information in enterprises, through digitization evolution. The paper reviews the main MMs, and presents their state of the art. Then, it defines a backbone structure common to MMs to abstract and describe their features by a meta-model. The new meta-model-driven approach guides companies in the selection of MMs, and in designing a new MM, where needed. The meta-model formalizes the two-levels inputs, the process, and the output to align the company’s motivations with the MM features, resulting in the definition of an appropriate MM for organizations. A qualitative exploratory case study shows the approach and its results, providing guidelines for future actions.

With the presence of a large number of inversion algorithms for inverse heat transfer problems (IHTPs) and non-IHTPs, a need for review to have a holistic view is seen. An exhaustive literature review, with the motivation of selecting the inversion technique best fit for a given problem, was made for a general inverse problem. For ill-posedness, a classification of available regularization algorithms namely Tikhonov’s regularization, Bayesian regularization, mollification method, Beck’s sequential approach and Alifanov’s iterative approach, has been provided. Inversion methods like singular value decomposition, truncated singular value decomposition, Tikhonov regularization and total variation regularization are explained. Optimization methods namely steepest descent method, conjugate gradient method, Newton method, Levenberg–Marquardt method, Lagrange method, adjoint method, function specification method, genetic algorithm, differential evolution and particle swarm optimization (PSO) are reviewed. Further, a technique based on neural networks is studied, and wavelet methods like shrinking and wavelet vaguelette decomposition are reviewed. Associated literature has also been listed, highlighting the gaps. The usability of various algorithms in IHTP, starting from the golden section search method, for retrieval of a single parameter, to the regularized versions of the inversion technique, for retrieval of multiple parameters with uncertainty, demonstrates real-life applications to fins in IHTP. An inversion algorithm capable to handle every kind of nonlinearity is sought in literature, whose absence raises the research question, “Is there a technique that works globally for every inverse problem?”, is asked prior to, “What if the available techniques were not utilized to an extent that they should?” is posed. In lieu of this gap, a general comparative framework is developed, such that an efficient technique is selected, based on the total minimum error, which can be used in any field of interest.

In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural networks have successfully been applied to address time series forecasting problems, which is a very important topic in data mining. They have proved to be an effective solution given their capacity to automatically learn the temporal dependencies present in time series. However, selecting the most convenient type of deep neural network and its parametrization is a complex task that requires considerable expertise. Therefore, there is a need for deeper studies on the suitability of all existing architectures for different forecasting tasks. In this work, we face two main challenges: a comprehensive review of the latest works using deep learning for time series forecasting and an experimental study comparing the performance of the most popular architectures. The comparison involves a thorough analysis of seven types of deep learning models in terms of accuracy and efficiency. We evaluate the rankings and distribution of results obtained with the proposed models under many different architecture configurations and training hyperparameters. The datasets used comprise more than 50,000 time series divided into 12 different forecasting problems. By training more than 38,000 models on these data, we provide the most extensive deep learning study for time series forecasting. Among all studied models, the results show that long short-term memory (LSTM) and convolutional networks (CNN) are the best alternatives, with LSTMs obtaining the most accurate forecasts. CNNs achieve comparable performance with less variability of results under different parameter configurations, while also being more efficient.

The quality of randomization of Chinese randomized trials on herbal medicines for hepatitis B was assessed. Search strategy and inclusion criteria were based on the published protocol. One hundred and seventy-six randomized clinical trials (RCTs) involving 20,452 patients with chronic hepatitis B virus (HBV) infection were identified that tested Chinese medicinal herbs. They were published in 49 Chinese journals. Only 10% (18/176) of the studies reported the method by which they randomized patients. Only two reported allocation concealment and were considered as adequate. Twenty percent (30/150) of the studies were imbalanced at the 0.05 level of probability for the two treatments and 13.3% (20/150) imbalanced at the 0.01 level in the randomization. It is suggested that there may exist misunderstanding of the concept and the misuse of randomization based on the review.

The correlation between the collateral system of traditional Chinese medicine (TCM) and the vascular system of Western medicine was approached and the conception of "Mai" was analyzed. It was pointed out that "Mai" is an independent viscera with certain structure, function, and characteristics in metabolism. Ancient TCM physicians basically share the same knowledge on the vascular system with biomedicine in terms of its anatomical structure, but the distinctive TCM theory on qi-blood correlation can enrich the contents of the vascular system. The concept of "collateral-vascular system disease" was proposed based on ancient TCM literature and a clinical epidemiology survey on 3,469 cases with arteriosclerosis, approached by common pathological steps. The pathogenesis of vessel collateral-vascular system disease was investigated according to collateral theory, which pointed out the treatment principle — unblocking the collateral. Research in the treatment of cardio-cerebrovascular disease with Tongxinluo capsules — a representative formula. The relative treatment prescriptions are beneficial for the treatment of blood vessel lesion under the guidance of collateral theory in TCM, improving prevention and treatment level of vascular and related diseases.

We performed a systematic review of studies regarding the effects of Tai Chi on the body balance of people older than 60 years. The Medline, SPORTDiscus and Academic Search Complete databases were searched for relevant studies published after the year 2000. Original randomized controlled trials, non-randomized controlled studies and observational studies were included in this review if they evaluated Tai Chi for the treatment of body balance disorder or fall prevention, and if they contained at least one of the following key words: Tai Chi, body balance, stability, elderly, old, training or posturography. These studies suggest that participation in Tai Chi may improve the body balance of elderly people; however, more information is needed to determine the extent to which Tai Chi is more effective than other methods, especially different types of physical exercise. In addition, subgroup analyses should be performed to determine the effects of Tai Chi in people with different physical characteristics. Directions for future research are discussed.

Zedoary turmeric oil and its main active ingredient β-elemene are novel plant-derived anticancer agents with long-term clinical application history and low toxicity, which have been approved by the Chinese SFDA to treat different tumors including cancers of the brain, ovary, prostate, breast, lungs, liver, colon, and other tissues. Unfortunately, their hydrophobic properties, poor stabilities and low bioavailabilities seriously hamper their applications in clinic. Therefore, more attention should be paid to develop novel drug delivery systems for zedoary turmeric oil and β-elemene to enhance their overall quality. Recently, increased research has been carried out on a nanoparticle drug delivery system of zedoary turmeric oil and β-elemene to solve their poor aqueous solubilities and low bioavailabilities in vivo with much remarkable achievements springing up in the last decade. This review presents the novel nanoparticle formulations of zedoary turmeric oil and β-elemene and introduces the possible future prospects of their further study.

Acupuncture has many beneficial effects during cancer therapy and has proven efficacy in the management of side effects induced by chemotherapy and radiotherapy. In this review, we discussed the benefits of acupuncture on cancer patients. In cancer pain management, acupuncture is effective for head and neck pain, waist pain, abdominal and chest pain. Many studies confirm the excellent efficacy of acupuncture against symptoms of vomiting and nausea, including those induced by chemotherapy and radiotherapy. Head and neck cancer patients receiving radiotherapy may develop xerostomia, which may be relieved by acupuncture. Acupuncture may also cause sedative and hypnotic effects in cancer patients for treating nervousness and insomnia.

Traditional Chinese Medicine (TCM) has made great contributions to human history, especially in China, as has been recorded for thousands of years. The characteristics of TCM in both theory and practice make it different from Conventional Western Medicine (CWM). The characteristics of TCM include phenomenological, philosophical, and methodological aspects. This paper briefly discusses some historical turning points and innovations in TCM development in China, explores human body enigmas such as the heart, compares different aspects of TCM and CWM, and identifies the unique characteristics of TCM treatment, as compared to other medical systems.

Herbal medicines have been used clinically in Eastern Asia, and traditional Japanese herbal (Kampo) formulas are approved as ethical drugs. The Kampo formulas are mixtures of the crude extracts of several herbs, each of which contains multiple components. Numerous investigators have reported that some herbal medicines are efficacious for treating several human diseases. We reviewed the literature on traditional herbal medicines and treatment of ocular diseases. Oral Orengedoku-to and Kakkon-to inhibit postoperative uveitis in humans. Oral Goshajinki-gan improved ocular surface disorders in patients with type 1 diabetes mellitus. Oral Hachimijio-gan increased retinal blood flow. Keishi-bukuryo-gan Sho might be associated with vitreoretinopathy in patients with type 2 diabetes mellitus. Oral Hachimijio-gan and Goshajinki-gan delayed lens opacification in rats and mice. Oral Sairei-to, Orengedoku-to, Senkanmeimoku-to, Scutellariae radix extract, Gardeniae fructus extract, topical Liguisticum wallichii rhizoma extract, and intravenous injection of tetramethylpyrazine, baicalin, baicalein, wogonin, and crocetin inhibited some forms of experimental uveitis in rabbits. Topical glycyrrhizinate improved allergic conjunctivitis in humans and rats. Oral crocetin improved eyestrain in humans. Oral berberine diminished experimental uveitis in rats. Baicalein, wogonin, berberine, and berberrubine inhibited in vitro expression of several cytokines in cultured retinal pigment epithelial cells. Some Kampo formulas are efficacious for treating several ocular diseases in humans and animals. Some herbal extracts and their components inhibit some forms of experimental uveitis.

Traditional Chinese medicine (TCM), an alternative medicine, focuses on the treatment of human disease via the integrity of the close relationship between body and syndrome analysis. It remains a form of primary care in most Asian countries and its characteristics showcase the great advantages of personalized medicine. Although this approach to disease diagnosis, prognosis and treatment has served the medical establishment well for thousands of years, it has serious shortcomings in the era of modern medicine that stem from its reliance on reductionist principles of experimentation and analysis. In this way, systems biology offers the potential to personalize medicine, facilitating the provision of the right care to the right patient at the right time. We expect that systems biology will have a major impact on future personalized therapeutic approaches which herald the future of medicine. Here we summarize current trends and critically review the potential limitations and future prospects of such treatments. Some characteristic examples are presented to highlight the application of this groundbreaking platform to personalized TCM as well as some of the necessary milestones for moving systems biology of a state-of-the-art nature into mainstream health care.

Cistanche deserticola Y. C. Ma (C. deserticola, "Rou Cong Rong" in Chinese) is an officinal plant that grows in arid or semi-arid areas. The dried fleshy stem of C. deserticola has been generally used as a tonic in China and Japan for many years. Modern pharmacology studies have since demonstrated that C. deserticola possesses broad medicinal functions, especially for use in hormone regulation, aperient, immunomodulatory, neuroprotective, antioxidative, anti-apoptotic, anti-nociceptive, anti-inflammatory, anti-fatigue activities and the promotion of bone formation. The phenylethanoid glycosides (PhGs) presented in C. deserticola have been identified as the major active components. This review summarizes the up-to-date and comprehensive information on C. deserticola covering the aspects of the botany, traditional uses, phytochemistry, and pharmacology.

The objective of this review was to summarize and critically evaluate the clinical evidence of the effect of qigong exercise on immunity and its efficacy in the prevention or treatment of infectious diseases. Thirteen databases were searched from their respective inceptions through January 2011, and all controlled clinical trials of qigong exercise on immunity and infections were included. Quality and validity of the included studies were evaluated using standard scales. Seven studies including two randomized controlled trials (RCTs), two controlled clinical trials (CCTs) and three retrospective observational studies (ROSs) met the inclusion criteria. One study focused on functional measures of immunity (antigen-induced immunity) and six studies on enumerative parameters of immunity. No study on clinical symptoms relevant to infectious diseases could be identified. Overall, the included studies suggested favorable effects of qigong exercise on immunity, but the quality of research for most of the studies examined in this review was poor. Further rigorously designed studies are required, which should adhere to accepted standards of methodology for clinical trials.

Panax ginseng is one of the most frequently used herbs in the world. Numerous trials have evaluated its clinical benefits. However, the quality of these studies has not been comprehensively and systematically assessed. We reviewed randomized controlled trials (RCTs) of Panax ginseng to evaluate their quality and risk of bias. We searched four English databases, without publication date restriction. Two reviewers extracted details about the studies' methodological quality, guided by the Consolidated Standards of Reporting Trials (CONSORT) checklist and its extension for herbal interventions. Risk of bias was determined using the Cochrane Risk of Bias tool. Of 475 potentially relevant studies, 58 met our inclusion criteria. In these 58 studies, 48.3% of the suggested CONSORT checklist items and 35.9% of the extended herbal items were reported. The quality of RCTs published after the CONSORT checklist improved. Until 1995 (before CONSORT) (n = 4), 32.8% of the items were reported in studies. From 1996–2006 (CONSORT published and revised) (n = 30), 46.1% were reported, and from 2007 (n = 24), 53.5% were reported (p = 0.005). After the CONSORT extension for herbal interventions was published in 2006, RCT quality also improved, although not significantly. Until 2005 (n = 34), 35.2% of the extended herbal items were reported in studies; and from 2006 onwards (n = 24), 37.3% were reported (p = 0.64). Most studies classified risk of bias as "unclear". Overall, the quality of Panax ginseng RCT methodology has improved since the CONSORT checklist was introduced. However, more can be done to improve the methodological quality of, and reporting in, RCTs.

The constitution of traditional Chinese medicine was established in 1970s by Chinese scholars, in which the constitutions of Chinese people were classified into nine types for study. The phlegm-dampness constitution is one of the nine constitutions and is the most common type in constitution study. Genomics studies found four upregulated genes: COPS8, GNPDA1, CD52 and ARPC3; and six downregulated genes: GSPT2, CACNB2, FLJ20584, UXS1, IL21R and TNPO in the phlegm-dampness constitution. Gene functional analyses on genes affecting the differences between the phlegm-dampness constitution and the balanced constitution indicated that people with phlegm-dampness constitution were susceptible to hyperlipemia and diabetes. Results of epidemiological surveys also revealed that people with phlegm-dampness constitution have a much higher risk of obesity, metabolic syndrome, hypertension and diabetes than people with a balanced constitution. Therefore, differentiation of phlegm-dampness constitution could be performed in the normal population with the Constitution of Chinese Medicine Scale to estimate the risks of those diseases for prediction. For people with phlegm-dampness constitution, Chinese medicine could be used to reduce risk of related diseases. Constitution-based strategies in disease prevention and treatment are consistent with the current proposed 4P medical mode (personalized, predictive, preventive and participatory). With the rising burden of global disease and increasing medical expenditure, the objectives of medicine are transforming from treatment to prevention. Thus, studies on the phlegm-dampness constitution of traditional Chinese medicine are significantly important for the prediction and prevention of related diseases and maintenance of human health.

Arbuscular mycorrhizal (AM) are symbiotic systems in nature and have great significance in promoting the growth and stress resistance of medicinal plants. During our literature search from the Chinese Scientific Information Database (Chinese National Knowledge Infrastructure, CNKI) we obtained 65 articles with "AM fungi" and "medicinal plant" as the key words, which indicates that in China, research efforts on these topics have been increasing. The main purposes of this review are to discuss the effects of mycorrhiza on the active ingredients of Chinese medicinal plants in comparison with results obtained in other plants in studies conducted by the international research community, and to introduce works published in Chinese journals to international colleagues.

The clinical practice of acupuncture and study of the traditional Chinese medicine literature has led to the observation that if the diaphragm is used as an axis of symmetry, there are many symmetrical points on the upper and lower halves of the body. The symmetrical points share several common properties, including physiological functions, mechanisms of pathogenesis and therapeutic effects. Employing these corresponding points on the upper and lower parts of the body simultaneously can frequently enhance the therapeutic outcome rather substantially. This phenomenon may be called the Principle of Symmetry. Traditional and modern scientific literature already provides evidence that verifies the reliability of this principle. Furthermore, this principle may be viewed as the derivative of the Thalamic Neuron Theory.

Osteoporosis is a common disease with wide prevalence, especially in the elderly population. Osteoporosis induced fractures not only decrease the patient's life quality, but also cause heavy financial burden to the society. Although current medications for osteoporosis are effective, numerous adverse effects have been observed accompanying their clinical applications. Effective prevention and therapy strategies with high safety are critical, which benefit both individual patients and the whole society. Traditional Chinese medicines have been used for thousands of years to treat bone related diseases in China and a number of modern preparations have been developed that are currently commercially available. In addition, several medicinal herbs demonstrated therapeutic effects against osteoporosis in animal models. This paper reviewed the anti-osteoporotic effects of traditional Chinese formulas, medicinal herbs and bioactive constituents based on clinical trials and in vivo animal studies. Due to the lack of rigorous studies to compare the effectiveness with conventional interventions, traditional formulas are recommended as alternative medications or supplements to treat osteoporosis at the current stage. Although there are abundant natural resources with anti-osteoporotic effects, either in the form of medicinal herbs or bioactive components, much work need to be accomplished before they are developed into potential drugs.

Loranthus parasiticus Merr (L. parasiticus) is a member of Loranthaceae family and is an important medicinal plant with a long history of Chinese traditional use. L. parasiticus, also known as Sang Ji Sheng (in Chinese), benalu teh (in Malay) and baso-kisei (in Japanese), is a semiparasitic plant, which is mostly distributed in the southern and southwestern regions of China. This review aims to provide a comprehensive overview of the ethnomedicinal use, phytochemistry and pharmacological activity of L. parasiticus and to highlight the needs for further investigation and greater global development of the plant's medicinal properties. To date, pharmacological studies have demonstrated significant biological activities, which support the traditional use of the plant as a neuroprotective, tranquilizing, anticancer, immunomodulatory, antiviral, diuretic and hypotensive agent. In addition, studies have identified antioxidative, antimutagenic, antiviral, antihepatotoxic and antinephrotoxic activity. The key bioactive constituents in L. parasiticus include coriaria lactone comprised of sesquiterpene lactones: coriamyrtin, tutin, corianin, and coriatin. In addition, two proanthocyanidins, namely, AC trimer and (+)-catechin, have been recently discovered as novel to L. parasiticus. L. parasiticus usefulness as a medicinal plant with current widespread traditional use warrants further research, clinical trials and product development to fully exploit its medicinal value.

Ischemic stroke is a clinical acute disease which causes neurological dysfunction and threatens a patient's life. Because the mechanism of pathology is complicated and most patients miss the best therapeutic window time, the effect of the treatment is not satisfied at present. Numerous studies indicated new vessels not only recuperated blood flow in the ischemic boundary zone, but also facilitated endogenous neurogenesis and improved neurological function after ischemic stroke. Therefore, angiogenesis has been an important research field in neurovascular regeneration. Recently, some Chinese medicines, bone marrow stromal cells (BMSCs) and their combination treatment were demonstrated to have beneficial effects in promoting angiogenesis both in vitro and in vivo. In this review, we summarized the effective mechanisms of Chinese medicines and BMSCs, as well as BMSCs in combination with Chinese medicines on angiogenesis post-stroke.