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XiaoLan Li,1 Min Li,2 Juan Tian,1 Zi-Wei Shi,1 Ling-Zhi Wang,2 Kui Song1 1Department of Hematology, The First Affiliated Hospital of Jishou University, Jishou, Hunan, People’s Republic of China; 2Department of Pharmacy, The First Affiliated Hospital of Jishou University, Jishou, Hunan, People’s Republic of ChinaCorrespondence: Kui Song, Department of Hematology, The First Affiliated Hospital of Jishou University, 26 Century Avenue, Qianzhou, Jishou, Hunan, 416000, People’s Republic of China, Email js_hematology@163.comAbstract: Multiple myeloma (MM) is a malignancy of plasma cells that can cause anemia due to renal failure and bone marrow failure. Secondary polycythemia (SE) is a clinically rare disease that involves the overproduction of red blood cells. To our knowledge, the association of multiple myeloma and polycythemia has been reported, but the association of SE and multiple myeloma is rare and has been infrequently reported in literature. In contrast to anemia, the presence of polycythemia in multiple myeloma patients is a rare finding. A patient of IgA-λ multiple myeloma with secondary erythrocytosis recently admitted to our department is now reported as follows and relevant literature is reviewed to improve clinicians’ awareness of such rare comorbidities.Keywords: multiple myeloma, secondary erythrocytosis

Na Qu,1 Ke Song,2 Yating Ji,1 Mingxia Liu,1 Lijiang Chen,1 Robert J Lee,3,4 Lesheng Teng3,5 1School of Pharmacy, Liaoning University, Shenyang, 110036, People’s Republic of China; 2MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, 6229 ER, the Netherlands; 3School of Life Sciences, Jilin University, Changchun, 130023, People’s Republic of China; 4College of Pharmacy, The Ohio State University, Columbus, OH, 43210, USA; 5State Key Laboratory of Long-Acting and Targeting Drug Delivery System, Yantai, 264000, People’s Republic of ChinaCorrespondence: Lesheng Teng, Email tenglesheng@jlu.edu.cnAbstract: Nanoparticle-based systems are extensively investigated for drug delivery. Among others, with superior biocompatibility and enhanced targeting capacity, albumin appears to be a promising carrier for drug delivery. Albumin nanoparticles are highly favored in many disease therapies, as they have the proper chemical groups for modification, cell-binding sites for cell adhesion, and affinity to protein drugs for nanocomplex generation. Herein, this review summarizes the recent fabrication techniques, modification strategies, and application of albumin nanoparticles. We first discuss various albumin nanoparticle fabrication methods, from both pros and cons. Then, we provide a comprehensive introduction to the modification section, including organic albumin nanoparticles, metal albumin nanoparticles, inorganic albumin nanoparticles, and albumin nanoparticle-based hybrids. We finally bring further perspectives on albumin nanoparticles used for various critical diseases.Plain Language Summary: Albumin appears to be a promising carrier for drug delivery with superior biocompatibility and enhanced targeting capacity. This review focuses on the importance of albumin nanoparticles in drug delivery and concludes the recent fabrication techniques to prepare albumin nanoparticles, the modification strategies to require functional albumin nanoparticles, and critical applications of albumin nanoparticles in various diseases. The aim of this review is to help readers understand the significant potential of albumin nanoparticles in drug delivery. Keywords: albumin nanoparticle, drug delivery, fabrication, modification, application

Feng Qiao,1,2 Hong Guo,1,2 Jing Zhang,1,2 Qing Zhang,3 Li Liu,3 Ge Meng,2 Hongmei Wu,2 Yeqing Gu,2 Kun Song,3 Changyi Li,1 Kaijun Niu2,3 1School of Dentistry, Stomatological Hospital, Tianjin Medical University, Tianjin, People’s Republic of China; 2Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China; 3Health Management Centre, Tianjin Medical University General Hospital, Tianjin, People’s Republic of ChinaCorrespondence: Kaijun Niu, Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, People’s Republic of China, Email nkj0809@gmail.com; niukaijun@tmu.edu.cn Changyi Li, School of Dentistry, Stomatological Hospital, Tianjin Medical University, No. 12, Qixiangtai Road, Heping District, Tianjin, 300070, People’s Republic of China, Email lichangyi@tmu.edu.cnBackground: To explore the association between the number of missing teeth and the prevalence of hyperlipidemia in a Chinese adult population.Methods: 13,932 adults were investigated in the TCLSIH cohort study. The number of missing teeth was determined at baseline through a self-reported questionnaire, and then classified into three categories: 0, 1– 2, and ≥ 3. We defined hyperlipidemia as total cholesterol (TC) ≥ 5.17 mmol/L or triglycerides (TG) ≥ 1.7 mmol/L or low-density lipoprotein (LDL) cholesterol ≥ 3.37 mmol/L or a self-report of physician-diagnosed hyperlipidemia during follow-up visits. Cox proportional-hazards regression models were employed to assess the relationship between the number of missing teeth and incident hyperlipidemia.Results: A total of 6756 first-incident cases of hyperlipidemia occurred during 42,048 person-years of follow-up (median follow-up, 4.2 years). After adjusted confounders, multivariable HRs and 95% CI for incident of hyperlipidemia across the categories of missing teeth were as follows: in male participants, 1.00 (reference), 1.10 (0.98, 1.22), and 1.03 (0.91, 1.16) (P for trend = 0.30); in female participants, 1.00 (reference), 1.09 (0.99, 1.19), and 1.18 (1.04, 1.33) (P for trend < 0.01).Conclusion: The number of missing teeth is associated with an increased risk of hyperlipidemia in female participants but not in male participants. Systemic chronic inflammation may potentially mediate this association.Keywords: tooth loss, dyslipidemia, epidemiological studies, population health, inflammation

Yiwen Zhang,1 Wei Wang,2,&ast; Lili Xu,1 Zhexun Lian,3 Jiale Huang,4 Yaowei Chang,5 Junjie Guo,3 Yangang Wang,1,&ast; Kexiu Song,6 Hongwei Ji7,8,&ast; 1Department of Endocrinology, Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China; 2Department of Hematology, Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China; 3Department of Cardiology, Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China; 4Department of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China; 5Department of Cardiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, People’s Republic of China; 6Department of International Medicine, Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China; 7Tsinghua Medicine, Tsinghua University, Beijing, People’s Republic of China; 8Department of Internal Medicine, Beijing Tsinghua Changgung Hospital, Beijing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yangang Wang, Department of Endocrinology, Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China, Email wangyg@qdu.edu.cn Hongwei Ji, Tsinghua Medicine, Tsinghua University, Beijing, People’s Republic of China, Email hongweijicn@gmail.com

A relational database has been developed based on the original (n,n′γ) work carried out by A. M. Demidov et al., at the Nuclear Research Institute in Baghdad, Iraq (Demidov et al., 1978) for 105 independent measurements comprising 76 elemental samples of natural composition and 29 isotopically-enriched samples. The information from this Atlas includes: γ-ray energies and relative intensities; nuclide and level data corresponding to the residual nucleus and meta data associated with the target sample that allows for the extraction of the flux-weighted (n,n′γ) cross sections for a given transition relative to a defined value. The optimized angular-distribution-corrected fast-neutron flux-weighted partial γ-ray cross section for the production of the 846.8-keV 21+→0gs+γ-ray transition in 56Fe, determined to be 〈σγ〉=143(29) mb, is used for this purpose. However, different values for the adopted cross section can be readily implemented to accommodate user preference based on revised determinations of this quantity. The Atlas (n,n′γ) data has been compiled into a series of CSV-style ASCII data sets and a suite of Python scripts have been developed to build and install the database locally. The database can then be accessed directly through the SQLite engine, or using alternative methods such as the Jupyter Notebook Python-browser interface. Several examples exploiting different interaction methodologies are distributed with the complete software package.

A relational database has been developed based on the original (n,n′γ) work carried out by A. M. Demidov et al., at the Nuclear Research Institute in Baghdad, Iraq (Demidov et al., 1978) for 105 independent measurements comprising 76 elemental samples of natural composition and 29 isotopically-enriched samples. The information from this Atlas includes: γ-ray energies and relative intensities; nuclide and level data corresponding to the residual nucleus and meta data associated with the target sample that allows for the extraction of the flux-weighted (n,n′γ) cross sections for a given transition relative to a defined value. The optimized angular-distribution-corrected fast-neutron flux-weighted partial γ-ray cross section for the production of the 846.8-keV 21+→0gs+γ-ray transition in 56Fe, determined to be 〈σγ〉=143(29) mb, is used for this purpose. However, different values for the adopted cross section can be readily implemented to accommodate user preference based on revised determinations of this quantity. The Atlas (n,n′γ) data has been compiled into a series of CSV-style ASCII data sets and a suite of Python scripts have been developed to build and install the database locally. The database can then be accessed directly through the SQLite engine, or using alternative methods such as the Jupyter Notebook Python-browser interface. Several examples exploiting different interaction methodologies are distributed with the complete software package.

The interconversion of charge and spin currents via spin-Hall effect is essential for spintronics. Energy-efficient and deterministic switching of magnetization can be achieved when spin polarizations of these spin currents are collinear with the magnetization. However, symmetry conditions generally restrict spin polarizations to be orthogonal to both the charge and spin flows. Spin polarizations can deviate from such direction in nonmagnetic materials only when the crystalline symmetry is reduced. Here, we show control of the spin polarization direction by using a non-collinear antiferromagnet Mn3GaN, in which the triangular spin structure creates a low magnetic symmetry while maintaining a high crystalline symmetry. We demonstrate that epitaxial Mn3GaN/permalloy heterostructures can generate unconventional spin-orbit torques at room temperature corresponding to out-of-plane and Dresselhaus-like spin polarizations which are forbidden in any sample with two-fold rotational symmetry. Our results demonstrate an approach based on spin-structure design for controlling spin-orbit torque, enabling high-efficient antiferromagnetic spintronics.

The Cl35(n,p) and Cl35(n,α) cross sections at incident neutron energies between 2.42 and 2.74 MeV were measured using the Berkeley High Flux Neutron Generator. The cross sections for Cl35(n,p) were more than a factor of 3 to 5 less than all of the values in the neutron absorption data libraries, while the Cl35(n,α) cross sections are in reasonable agreement with the data libraries. The measured energy-differential cross section is consistent with a single resonance with a width of 293(46) keV. This result suggests that, despite the high incident neutron energy, any attempt to model (n,x) cross sections in the vicinity of the N=Z=20 shell gap requires a resolved resonance approach rather than a Hauser-Feshbach approach.

The Cl35(n,p) and Cl35(n,α) cross sections at incident neutron energies between 2.42 and 2.74 MeV were measured using the Berkeley High Flux Neutron Generator. The cross sections for Cl35(n,p) were more than a factor of 3 to 5 less than all of the values in the neutron absorption data libraries, while the Cl35(n,α) cross sections are in reasonable agreement with the data libraries. The measured energy-differential cross section is consistent with a single resonance with a width of 293(46) keV. This result suggests that, despite the high incident neutron energy, any attempt to model (n,x) cross sections in the vicinity of the N=Z=20 shell gap requires a resolved resonance approach rather than a Hauser-Feshbach approach.

Yuyu Lv,1,2 Ru Ren,1– 3 Chengxiang Tang,4 Kuimeng Song,5 Shunping Li,1– 3 Haipeng Wang1,2 1Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People’s Republic of China; 2NHC Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, People’s Republic of China; 3Center for Health Preference Research, Shandong University, Jinan, People’s Republic of China; 4Macquarie University Centre for the Health Economy, Macquarie University Business School & Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia; 5School of Health Care Security, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, People’s Republic of ChinaCorrespondence: Shunping Li; Haipeng Wang, Centre for Health Management and Policy Research, Wenhua Xi Road 44, Jinan, Shandong Province, 250012, People’s Republic of China, Tel +86-131-8893-4998, +86-186-6899-6362, Email lishunping@sdu.edu.cn; wanghaipeng@sdu.edu.cnPurpose: To evaluate preferences for medications among patients with type 2 diabetes mellitus (T2DM) from urban community health stations or rural village clinics in Shandong province, China.Methods: We use a discrete choice experiment (DCE) to measure the medication preferences. Each patient completed six DCE choice sets. The attributes for the DCE questionnaire include mode of administration, out-of-pocket medication cost per month, fasting blood glucose control effect and frequency of hypoglycemia events. The conditional logit model (Clogit) and mixed logit model (MXL) were used to evaluate choice data.Results: A total of 887 patients with T2DM completed the survey. The mean age of participants was 64 years, 36.42% experienced complications, and the mean duration of diabetes was about 8 years. Overall, patients’ ideal medication would not have hypoglycemia events, provide normal fasting glucose levels, have oral medication three times a day and lower monthly medication cost. Patients prioritized the frequency of hypoglycemia events (β=15.055, P < 0.01) and were willing to spend CNY 393.10 per month to avoid hypoglycemia events. For patients with higher educational levels and with longer diagnosis time, the effect of fasting blood glucose was more relevant than all other outcomes.Conclusion: This study provides information on T2DM patients’ preference for medications. Our results suggest that clinical doctors should present patients with a variety of pharmaceutical characteristics and include their preference into medication decision, which will improve patient adherence and health outcomes.Keywords: type 2 diabetes mellitus, patients’ preference, medication, discrete choice experiment

Radiation detection can provide a reliable means of detecting radiological material. Such capabilities can help to prevent nuclear and/or radiological attacks, but reliable detection in uncontrolled surroundings requires algorithms that account for environmental background radiation. The Berkeley Data Cloud (BDC) facilitates the development of such methods by providing a framework to capture, store, analyze, and share data sets. In the era of big data, both the size and variety of data make it difficult to explore and find data sets of interest and manage the data. Thus, in the context of big data, visualization is critical for checking data consistency and validity, identifying gaps in data coverage, searching for data relevant to an analyst's use cases, and choosing input parameters for analysis. Downloading the data and exploring it on an analyst's desktop using traditional tools are no longer feasible due to the size of the data. This paper describes the design and implementation of a visualization system that addresses the problems associated with data exploration within the context of the BDC. The visualization system is based on a JavaScript front end communicating via REST with a back end web server.

We present a high image quality head up display (HUD) based on the local dimming liquid crystal display (LCD). The proposed HUD provides high white luminance to improve day-time visibility and low black luminance to cope with the postcard effect during the night by the local dimming technique. To reduce the computational complexity, the pixel-based boosting values for the pixel compensation are computed by simple bi-linear interpolation, complex power functions are implemented by look-up tables, some multiplications are replaced with the sums of shifted values, and the numbers of look-up tables and multipliers are reduced by sequential process. The simulation results of the proposed local dimming algorithm for 640×1280 LCD panel and 10×22 LED backlight ensure higher peak signal-to-noise ratio than 40 dB and larger power reduction performance than 73% over 7 HUD images. In addition, the postcard effect improvement is verified over images on LCD panel as well as windshield. Maximum luminance and contrast ratio on the windshield of the prototype HUD system are measured as 16,088 cd/m $ ^2 $ 2 and $ 342\times {10^6} $ 342 × 10 6 :1. [ABSTRACT FROM AUTHOR]

Xuan Qiu, Manjiang Li, Liqun Wu, Yang Xin, Siyu Mu, Tianxiang Li, Kangjian Song Liver Disease Center, The Affiliated Hospital of Qingdao University, Qingdao 266003, People’s Republic of ChinaCorrespondence: Liqun WuLiver Disease Center, The Affiliated Hospital of Qingdao University, No. 59 Haier Road, Laoshan District, Qingdao, Shandong 266003, People’s Republic of ChinaTel +86 15315328331Email wulq5810@126.comObjective: To investigate the effects of fatigue on the survival of patients with advanced hepatocellular carcinoma treated with sorafenib.Patients and Methods: A retrospective analysis of 182 cases of patients with advanced hepatocellular carcinoma treated with sorafenib in our hospital from October 1, 2008, to October 31, 2017, showed clinical and pathological data and follow-up results. The clinical and pathological data as well as follow-up results of 182 patients with advanced hepatocellular carcinoma treated with sorafenib in our hospital from October 1, 2008, to October 31, 2018, were retrospectively analyzed. All patients were treated for at least 3 months. Patients were divided into three groups: fatigue grade I (n=74), fatigue grade II (n=62), and fatigue grade III (n=46), according to National Cancer Institute common terminology criteria for adverse events (NCI CTCAE) version 5.0. Survival analysis between groups was performed by the Kaplan–Meier method (Log rank test), continuous variables were analyzed by t-test, and categorical variables were analyzed by chi-square test.Results: The overall survival (OS) of patients who were relieved of fatigue was 33.0± 9.3 months, whereas the OS of patients who were not relieved of fatigue was 15.0± 1.8 months (P< 0.000). Furthermore, the time to progress (TTP) of patients who were relieved of fatigue by resting was 20.3 ± 10.9 months compared to a TTP of 7.7 ± 1.0 months in patients who were not relieved of fatigue (P< 0.000).Conclusion: Patients, especially the elderly and infirm, were more susceptible to toxicity.Keywords: hepatocellular carcinoma, sorafenib, fatigue, survival

Li Zhou,1,* Shanglong Feng,1,2,* Guangyu Sun,1 Baolin Tang,1 Xiaoyu Zhu,1 Kaidi Song,1 Xuhan Zhang,1 Huaiwei Lu,3 Huilan Liu,1 Zimin Sun,1 Changcheng Zheng1,2 1Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; 2Department of Hematology, Anhui Provincial Hospital, Anhui Medical University, Hefei, China; 3Department of Clinical Laboratory, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China *These authors contributed equally to this work Background: Extensively drug-resistant Gram-negative bacterial (XDR-GNB) bloodstream infection (BSI) is difficult to treat and is associated with a high mortality rate in patients with hematological diseases. The aim of this study is to investigate the predisposing risk factors and the efficacy of the antibiotic treatment in these patients, including exploration of efficacy and adverse effects of high-dose tigecycline. Methods: Between January 2013 and December 2017, 27 XDR-GNB BSI patients with hematological diseases were diagnosed and retrospectively reviewed in the current study. Results: Clinical response in patients with severe complications (such as severe neutropenia >10 days, grade III–IV acute graft-versus-host disease (aGVHD), and concurrent pneumonia) was significantly lower than in patients without or with only mild complications (P=0.033). The efficacy rate was 62.5% (10/16) in patients with tigecycline-based combination therapy regimen, 77.8% (7/9) with a high-dose tigecycline regimen, and 42.9% (3/7) with a standard-dose tigecycline regimen (P=0.36). The 30-day survival rates of patients undergoing high-dose or standard-dose tigecycline treatment were 66.7% (95% CI: 28.2–87.8) and 57.1% (95% CI: 17.2–83.7), respectively, (P=0.603). Patients with mild complications were associated with superior 30-day survival rates than patients with severe complications (93.8% vs 36.4%, P=0.001), >10 days of neutropenia (90.9% vs 33.3%, P=0.012), severe aGVHD (100% vs 40%, P=0.049), and concurrent pneumonia (84.6% vs 57.1%, P=0.048). Conclusion: Our study indicated that XDR-GNB BSI in patients of hematological diseases with severe complications, such as long duration of neutropenia (>10 days) and severe aGVHD were associated with poor clinical response and short survival. We first indicated that these patients undergoing high-dose tigecycline treatment had an improved clinical response and an increased 30-day survival rate compared with the standard-dose group, although the differences were not statistically significant. This might be due to more severe complicated patients enrolled in high-dose group and the limited number size in our study. Keywords: carbapenem resistant bacterial infection, bloodstream infection, high-dose tigecycline, hematological malignancies

The adult mammalian heart possesses little regenerative potential following injury. Fibrosis due to activation of cardiac fibroblasts impedes cardiac regeneration and contributes to loss of contractile function, pathological remodelling and susceptibility

The various phases in Sm 1-xEu xB 6 are investigated based on magnetic susceptibility, resistivity, and Hall effect measurements. The end compounds are a Kondo insulator (SmB 6) and a polaronic ferromagnet (EuB 6). For x≈ 0.2, the ground state undergoes a transition from a Kondo insulator to an antiferromagnetic (AF) insulator phase. Further doping induces a transition to an AF metal at x≈ 0.4. The spin gap is reduced rapidly with the Eu substitution, while there is a charge gap up to x≈ 0.4. The Hall effect indicates a dramatic decrease in the carrier density at low temperatures (T) for the Kondo insulator regime, whereas, the carrier density is almost independent of T in the AF metallic phase. © 2012 American Physical Society.

Yue Zhao,1 Kuiyuan Song,1 Yong Zhang,2 Hongtao Xu,1 Xiupeng Zhang,1 Liang Wang,1 Chuifeng Fan,1 Guiyang Jiang,1 Enhua Wang1 1Department of Pathology, First Affiliated Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, China; 2Departments of Pathology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China Purpose: Current knowledge of TMEM17, a recently identified protein of the transmembrane (TMEM) family, is limited, especially with respect to its expression and biological functions in malignant tumors. This study analyzed TMEM17 expression in invasive breast cancer tissue and breast cell lines and its relevance to clinicopathological factors, and investigated the mechanisms underlying the biological effects of TMEM17 on breast cancer cells. Patients and methods: TMEM17 protein expression was determined in 20 freshly harvested specimens (tumor and paired normal tissues) by Western blotting. Immunohistochemical analysis was performed to determine the expression and subcellular localization of TMEM17 in samples from 167 patients (mean age, 49 years) diagnosed with invasive ductal carcinoma (38 with triple-negative breast cancer; 129 with non-triple-negative breast cancer) who underwent complete resection in the First Affiliated Hospital of China Medical University between 2011 and 2013. Furthermore, TMEM17 was knocked down by small interfering RNAs in breast cancer cell lines. Results: TMEM17 was found to be significantly upregulated in breast cancer tissues compared to the corresponding normal breast tissues by Western blotting (p=0.015). Immunohistochemical analysis revealed that TMEM was significantly upregulated in invasive breast cancer cells compared to adjacent normal breast duct glandular epithelial cells (10.78% vs 76.05%, p