bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Bibliometric Analysis of Medical Research Literature on Commonly Sold Herbal Medicines
Authors: Ng Jeremy Y. , Anant Swati , Parakh Nandana D. 
Published: February 2022

Abstract
Background
Herbal medicines and supplements are frequently utilized for healthcare purposes. Due to their increased use globally, it is essential to understand the characteristics of research conducted on this topic.
Methods
Search strategies were created by identifying the top-selling herbal supplements from the 2020 HerbalGram Market Report. The Natural Medicines database was used to identify and record the most common terms used to refer to the herbal supplements. The search strategy was limited to the “MEDICINE” category. Searches were run on Scopus on August 02, 2021, and all results were exported on the same day to avoid discrepancies due to daily database updates. Various bibliometric data were collected, including information on total number of publications, publications per year, number of authors and journals, open access status, document type, author affiliations, most highly published authors, institutional affiliations, funding sponsors, country of publication, and most highly cited publications. VOSViewer, a software tool, was used to construct and visualize the bibliometric networks.
Results
A total of 42 385 (12 481 open access) articles published by 92 814 unique authors between 1827 and 2021 were obtained. An overall upward trend has been noticed in the number of publications, with the most widely researched herbal medicines being wheatgrass, turmeric, barley, garlic, and green tea. The most productive countries were the United States (n=6957) and China (n=5426). Planta Medica published the largest number of publications related to herbal medicine.
Conclusions
A continuous upward trend has been identified in the number of publications surrounding commonly sold herbal medicines. Due to the projected increase of the use of these medicines, future research should examine and analyse the characteristics of emerging publications in this field.
Dynamically tunable multiband plasmon-induced transparency effect based on graphene nanoribbon waveguide coupled with rectangle cavities system
Authors: Zhu Zihao , Wang Boyun , Yan Xiang , Liu Yang , Zeng Qingdong , Wang Tao , Yu Huaqing 
Published: February 2022

Abstract
A dynamically tunable multiband plasmon-induced transparency (PIT) effect in a series of rectangle cavities coupled with a graphene nanoribbon waveguide system is investigated theoretically and numerically by tuning the chemical potential of the graphene rectangle cavity. A single-PIT effect is realized using two different methods: one is the direct destructive interference between bright and dark modes, and the other is the indirect coupling through a graphene nanoribbon waveguide. Moreover, dual-PIT effect is obtained by three rectangle cavities side-coupled with a graphene nanoribbon waveguide. Results show that the magnitude of the dual-PIT window can be controlled between 0.21 and 0.74, and the corresponding group index is controlled between 143.2 and 108.6. Furthermore, the triple-PIT effect is achieved by the combination of bright-dark mode coupling and the cavities side-coupled with waveguide mechanism. Thus, sharp PIT windows can be formed, a high transmission is maintained between 0.51 and 0.74, and the corresponding group index is controlled between 161.4 and 115.8. Compared with previously proposed graphene-based PIT effects, the size of the introduced structure is less than 0.5 µm 2 . Particularly, the slow light effect is crucial in the current research. Therefore, a novel approach is introduced toward the realization of optical sensors, optical filters, and slow light and light storage devices with ultra-compact, multiband, and dynamic tunable.
Regression Equations for Estimating the Weight of Taiwanese Buffaloes from Size Characteristics(1)
Authors: Chen Yi-Ting , Chuang Pi-Hua , Su An-Kuo 
Published: February 2022

Abstract
We investigated the growth rate and appearance traits of a herd of 83 buffaloes in Eastern Taiwan. Parity, body weight and length, withers height, and chest girth (from birth to > 5 years of age) were recorded. The results indicated the mean male buffalo body weights at birth and at 6, 9, 12, and 24 months old were 38.2 ± 5.3, 102.2 ± 16.0, 143.7 ± 24.1, 176.5 ± 28.4, 194.6 ± 34.1, and 323.3 ± 69.0 kg, respectively. The mean female buffalo body weights at birth and at 6, 9, 12 and 24 months old were 37.8 ± 5.8, 90.6 ± 17.2, 137.9 ± 21.9, 155.9 ± 25.3, 171.1 ± 28.2, and 311.4 ± 53.0 kg, respectively. Male buffaloes were significantly heavier than their female counterparts at 3, 9 and 12 months old (P < 0.05). The fitted regression equations for body weight with respect to chest girth from birth to 6 months old and from 6 to 24 months old, respectively, were (1) weight = 2.04 × chest girth − 124.19 and (2) weight = 4.19 × chest girth − 387.80. The respective R2 values were as high as 0.93, and all P values were significant (P < 0.0001), indicating that these regression equations are useful for estimating the weight of Taiwanese buffaloes in the absence of a scale. Additionally, the mean birth weight for buffalo calves from primiparous buffalo cows was significantly lower than that for parous buffalo cows (32.1 vs. 40.3 kg, P < 0.0001).
Intermediate Risk of Choledocholithiasis: Are We on the Right Path?
Authors: Girón Felipe , Rodriguez Lina M , Conde Danny , Rey Carlos , Vanegas Marco , Venegas David , Gutierrez Fernando , Nassar Ricardo M , Jimenez Daniel , Rojas Susana 
Published: February 2022

Abstract
BackgroundRisk of choledocholithiasis should be assessed in every patient who must undergo cholecystectomy to define the next step. The American Gastroenterology Society (ASGE) proposed a stratified predictor scale of choledocholithiasis. MethodsTo describe our experience managing patients with intermediate risk of choledocholithiasis according to the ASGE guidelines and actual presence of bile duct stones in magnetic resonance cholangiopancreatography. A retrospective observational study with a prospective database was conducted. Analysis included socio demographic data, laboratory values ​​and imaging. Bivariate, multivariate and ROC analysis was performed. Results 327 patients had intermediate risk for choledocholithiasis. Half the patients were at least 65 years old. 24.77% were diagnosed with choledocholithiasis. Bile duct dilation was documented in only 3.06% of cases. Diagnosis of choledocholithiasis is associated with age OR: 1.87 (p 0.02), alkaline phosphatase OR: 2.44 (p 0.02) and bile duct dilation > 6 mm OR: 14.65 (p 0.00). ConclusionsHigh variability in accuracy of imaging techniques results in a large number of patients classified as intermediate risk without choledocholithiasis in cholangio-resonance. Therefore, enhancing the criteria to define intermediate risk for patients in order to optimize resources is of paramount importance.
ADIRF expression reversely correlates with stage progression and involves keratinocyte differentiation in esophageal squamous cell carcinoma
Authors: Guo Meng , Fan Xiaotong , Zhu Shaohua , Zhao Xin , Guo Quan , Wang Lulu , fang Na , Han Ying , Liu Zhiguo 
Published: February 2022

Abstract
Background: Aberrant differentiation in esophageal mucosa was crucial for the carcinogenesis and development of esophageal squamous cell carcinoma (ESCC). However, few evidences elucidated the regulatory molecule during ESCC differentiation. We aimed to interpret the correlation between ADIRF expression and the tumor progression and reveal its molecular function in ESCC.Methods: The ADIRF expression in ESCC was assessed in RNA-seq (RNA sequencing) data from a TCGA (The Cancer Genome Atlas) cohort and immunohistochemically examined in a tissue chip. The correlations with clinical data were assessed in 30 surgical specimens from our center. The regulating effects on cellular function were assessed in the established ADIRF overexpressed and suppressed ESCC cells. The molecular functions of ADIRF were inferenced according to the investigation of the correlated genes. Results: Both in the mRNA level and in the protein level, expression of ADIRF was decreased in cancerous mucosa than normal tissues, and significantly downregulated in the advanced ESCCs than those in the early stage. ADIRF expression in ESCCs was reversely correlated with the progressing of AJCC stage (r=-0.41) and tumor stage (r=-0.56). The high expression of ADIRF was efficient to distinguish patients with superficial invasion from those with deeper invasion (AUC=0.805, P<0.001). In vitro, ADIRF showed a suppression role and obviously inhibited the proliferation, migration and division of ESCC cells. According to functional analysis of the coexpressed genes, the ADIRF was putatively associated with the keratinocyte differentiation. Among the keratinocyte differentiation associated genes, SPRR1A, SPRR1B, PKP3, SPRR2D, and FLG were detected to independently correlate with the ESCC prognosis. Thereinto, SPRR1A was with the minimum hazard ratio (HR=0.11, 95%CI: 0.02-0.62) and significantly downregulated in the advanced ESCCs. Conclusions: This study uncovers that ADIRF was reversely correlated with ESCC progression and suppressed malignancy of tumor cells. Moreover, ADIRF was speculated to regulate esophageal keratinocyte differentiation. Hence, ADIRF might be a suppressive factor and with keratinocyte differentiation regulating effect in ESCC.
Environmentally Sensitive Vinylpyrrolidone/methacrylic Acid Inter-complex Amphoteric Hydrogel: Preparation, Characterization, and Use in the Binding of Copper Ions
Authors: Sepehrianazar Amir 
Published: February 2022

Abstract
Environmentally sensitive hydrogels (ESH) with inter-complex and amphoteric properties were prepared by thermal free radical polymerization of vinylpyrrolidone (VP), methacrylic acid (MA), and N,N'-methylene bisacrylamide. Spectroscopic and thermal characterizations of ESHs were performed using FTIR and TGA. To determine the effects of ESHs on swelling properties, swelling and diffusion studies were performed at different pHs, temperatures, and salt solutions. While the inter-complex formation between VP and MA was monitored with UV, the amphoteric property and environmental sensitivity of VP/MA-H were determined by swelling studies. In the binding of Cu(II) ion binding onto VP/MA-H experiments, a Langmuir type (L) adsorption was observed concerning the Giles classification system. Binding parameters such as equilibrium constant (KL), monolayer coverage (Qm), and maximum fractional occupancy (FO%) were calculated as 0.16 L gESH−1, 30 MgCu(II) gESH−1, and 81%, respectively. In the light of these findings, it can be said that strong electrostatic interactions between the anionic groups in the VP/MA-H and Cu (II) cations are more effective in the interaction of the heavy metal ions with the hydrogel. The outputs of this study are important in the preparation of effective vinylpyrrolidone/methacrylic acid for hydrogel applications in electrostatic interactions, adsorption, and removal of organic toxic wastes.
Heterocylcic Based Cucumin: Desin, Synthesis and Anticancer Efficay Against Hela Cells
Authors: Al-Kerm Rana , Al-kerm Rola , Hamed Othman , Sawafta Ashraf , Qneibi Mohammad , Berisha Avni , Dagdage Omar , Adwan Ghaleb 
Published: February 2022

Abstract
Developing a new effective anticancer agent becomes an urgent need to overcome of current drug-resistance. In this study we demonstrated that curcumin with heterocyclic moiety can function as an anticancer agent in a human. A new series of curcumin-based benzodiazepines, diazepines and diazoles were prepared using a simple one pot process. The process involved a condensation reaction of curcumin with various 1,2 diamino compounds and hydrazine. The structures of the prepared heterocycles were identified by the spectroscopic methods FT-IR, 1H NMR, and 13C NMR. The in vitro anticancer activities of the synthesized curcumin-based heterocycles against HeLa cancer cells were evaluated by the 3-[4,5-dimethylthiazole-2-yl]-2,5-diphenyltetrazolium bromide (MTT) assay. The viability of HeLa cells was reduced in the range of 4.48- 14.57% within the studied concentrations. Curcumin-based diazepine 6 showed the highest cytotoxic effect on the HeLa cells at all concentrations. it reduced the viability of the tested HeLa cells in range of 4.48 % for the 400 μg /ml concentration to 4.95% for the 12.5 μg /ml concentration. Moreover, heterocyclic 6 showed the highest cytotoxic and cytostatic effect among the tested heterocyclics against Hela cells. It exhibited IC50 and a cytostatic effect of of 0.4572 and 0.08515 µg/ml, respectively at a nontoxic level, as the control L6 cells showed cytotoxic and cytostatic effect with IC50 values of 22.47 and 1.977 µg/ml, respectively. This study revealed that, the prepared curcumin-based compounds exhibit a promising anticancer activity against HeLa cancer cells at a nontoxic concentration.
Burden and Factors Associated with Schistosomiasis and Soil-Transmitted Helminth Infections Among School-Age Children in Huambo, Uige and Zaire provinces, Angola
Authors: Bartlett Adam W. , Sousa-Figueiredo Jose C. , Goor Roelofje C. van , Monaghan Paul , Lancaster Warren , Mugizi Rukaaka , Mendes Elsa P. , Nery Susana Vaz , Lopes Sergio 
Published: February 2022

Abstract
Background: Schistosomiasis and soil-transmitted helminths (STHs) contribute high disease burdens amongst the neglected tropical diseases (NTDs) and are public health problems in Angola. This study reports the prevalence, intensity and risk factors for schistosomiasis and STH infection in Huambo, Uige and Zaire provinces, Angola, to inform a school-based preventive chemotherapy program.Methods: A two-stage cluster design was used to select schools and schoolchildren to participate in parasitological and water, sanitation and hygiene (WASH) surveys across Huambo, Uige, and Zaire provinces. Point-of-care circulating cathodic antigen and urinalysis rapid diagnostic tests (RDTs) were used to determine the prevalence of Schistosoma mansoni and S. haematobium, respectively. Kato-Katz was used to identify and quantify STH species and quantify and compare with RDTs for S. mansoni. Urine filtration was used to quantify and compare with RDTs for S. haematobium. Descriptive statistics were used for prevalence and infection intensity of schistosomiasis and STH infection. Performance of RDTs was assessed through specificity and Cohen’s Kappa agreement with microscopy. A multivariate regression analysis was used to determine demographic and WASH factors associated with schistosomiasis and STH infection. Results: A total 575 schools and 17,093 schoolchildren participated in the schistosomiasis survey, of which 121 schools and 3,649 schoolchildren participated in the STH survey. Overall prevalence of S. mansoni was 21.2% (municipality range 0.9-74.8%) and S. haematobium 13.6% (range 0-31.2%), with an overall prevalence of schistosomiasis of 31.4% (range 5.9-77.3%). Overall prevalence of A. lumbricoides was 25.1% (range 0-89.7%), hookworm 5.2% (range 0-42.6%), and T. trichiura 3.6% (range 0-24.2%), with an overall prevalence of STH infection of 29.5% (0.8-89.7%). Ecological zone and ethnicity were factors associated with schistosomiasis and STH infection, with older age and female sex additional risk factors for S. haematobium.Conclusions: Most municipalities met WHO-defined prevalence thresholds for a schistosomiasis preventive chemotherapy program. A STH preventive chemotherapy program is indicated for nearly all municipalities in Uige and select municipalities in Huambo and Zaire. The association between ecological zone and ethnicity with schistosomiasis and STH infection necessitates further evaluation of home and school environmental, sociodemographic and behavioural factors to inform targeted control strategies to complement preventive chemotherapy programs.
Joint High-Dimensional Soft Bit Estimation and Quantization using Deep Learning
Authors: Arvinte Marius , Vishwanath Sriram , Tewfik Ahmed H. , Tamir Jonathan I. 
Published: February 2022

Abstract
Forward error correction using soft probability estimates is a central component in modern digital communication receivers and impacts end-to-end system performance. In this work, we introduce EQ-Net: a deep learning approach for joint soft bit estimation and quantization in high-dimensional multiple-input multiple-output (MIMO) systems. We propose a two-stage algorithm that uses soft bit quantization as pre-training for estimation, and is motivated by a theoretical analysis of soft bit compression bounds in MIMO channels. Our experiments demonstrate that a single deep learning model achieves competitive results on both tasks when compared to previous methods, with gains in quantization efficiency as high as 20% and reduced estimation latency by at least 21% compared to other deep learning approaches that achieve the same end-to-end performance. We investigate the robustness of the proposed approach, and demonstrate that the model is robust to distributional shifts when used for quantization, and is competitive with state-of-the-art deep learning approaches when faced with channel estimation errors in the task of soft bit estimation.
Manipulating the Performance and Oxidative Responses of Dairy Cattle Under Long-term Environmental Heat Stress Upon Zinc-Methionine Complex Dietary Inclusion
Authors: Mesgaran Mohsen Danesh , Kargar Hassan , Janssen Rieke , Mesgaran Sadjad Danesh , Ghesmati Aghil , Vatankhah Amirmansour 
Published: February 2022

Abstract
Dairy cows are susceptible to heat stress due to levels of milk production and feed intake. Dietary supplemental amino acids, particularly rate-limiting amino acids e.g., methionine (Met), may alleviate the potential negative consequences. Zinc (Zn) is beneficial to the immune system and mammary gland development during heat stress. We investigated the impact of a source of rumen-protected Zn-Met complex (Loprotin, Kaesler Nutrition GmbH, Cuxhaven, Germany) in high producing Holstein cows during a long-term environmental heat stress period. Sixty-two multiparous Holstein lactating cows were allocated in a completely randomized design to 1 of 2 dietary treatments as basal diet without (control) or with supplemental Zn-Met complex (RPZM) at 0.131% of diet DM. Cows in the RPZM group had higher energy-corrected milk as well as milk fat and protein concentration. Zn-Met complex supplemented cows had lower haptoglobin and IL-1B concentration compared with the control. RPZM supplementation resulted in better oxidative status, indicated by higher total antioxidant status and lower malondialdehyde concentrations. Enhanced performance of animals upon Zn-Met complex supplementation could be partly the result of improved oxidative and immune status. Data generated herein could develop novel feeding concepts, i.e., particular feed additives, which can be practically implemented to maintain animal’s productivity and longevity during periods of heat stress.
Evaluation of Subcutaneous Injection of Erythropoietin on Visual Functions in Patients with Late Onset Optic Neuropathy: A Pilot Clinical Study
Authors: Mohammed Mai A. , Doheim Mohamed Fahmy , Elmassry Ahmed 
Published: February 2022

Abstract
Purpose: This pilot study aimed to assess the efficacy of subcutaneous erythropoietin injection on visual functions in patients having late stage optic neuropathy (LSON).Methods: The study included 20 patients diagnosed with LSON. All patients underwent a detailed history including the onset of the attack, diagnosis of the cause of optic neuropathy, assessment of visual acuity, pupil reaction, and flash visual evoked potential. Systemic erythropoietin injections (Eprex 20000 IU) were administrated subcutaneously once daily for three consecutive days. Cases were followed up for 4 weeks and 12 weeks by recording visual acuity, recording flash visual evoked potential and evaluating the need of second dose of Erythropoietin injection.Results:The mean age of the studied patients at presentation was 43.2± 17.3 years. The mean duration of the disease was 5.4± 3 months. There were statistically significant improvements of visual acuity, color vision and VEP parameters after one month (p<0.001) with 16 patients showing improvement. The results continued to be statistically significant after three months (p=0.002); without having any side effects.Conclusion: The subcutaneous erythropoietin may effectively and safely treat the LSON provided that the flash visual evoked potentials recorded at the baseline are within acceptable limits. More well-designed studies are needed to assert upon these results.
In-silico bioprospecting of taraxerol as a main protease inhibitor of SARS-CoV-2 to develop therapy against COVID-19
Authors: mujwar somdutt , Harwansh Ranjit K. 
Published: February 2022

Abstract
The coronavirus disease outbreak towards the end of 2019 was caused by a novel coronavirus known as SARS-CoV-2. The COVID-19 disease outbreak has been avowed as a global pandemic by the World Health Organization by the end of March 2020. The COVID-19 pandemic was responsible for the crash of the global economy, resulting in the starvation of a large population belonging to economically backward countries. Thus, the global pandemic situation demands the development of a novel antiviral therapy against COVID-19. In the current study, screening of the ligands from the herbal source was performed to explore potential leads through targeting the viral main protease enzyme of SARS-CoV-2. Taraxerol was found to be a potential antagonist of the viral main protease enzyme. Thus, the present article was aimed at investigating taraxerol as a potent herbal lead by toxicity and ADME prediction for the management of COVID-19.
Multi-modal deep learning detection of deep-seated gravitational slope deformation by Typhoon Talas in 2011
Authors: Kikuchi Teruyuki , Sakita Koki , Nishiyama Satoshi , Takahashi Kenichi 
Published: February 2022

Abstract
There has been an increasing demand in recent years for detailed and accurate landslide maps and inventories in disaster-prone areas of subtropical and temperate zones, particularly in Asia. Most standard mapping methods require detailed fieldwork to be conducted by knowledgeable, skilled professionals. When predicting landslides, it is important to understand past landslide cases and prepare for situations in which the same phenomena occur. Developing automatic analysis methods using deep learning can contribute to the sophistication and cost of screening. This case study analyzed the potential of using deep learning convolutional neural networks (CNNs) for landslide detection with digital elevation models (DEMs) before the slide for deep-seated landslides (DLs) that occurred during Typhoon Talas. Here, we created 36,985 pieces of learning data from topographic information, which were then applied to a CNN using a multi-modal learning model. Eight types of numerical analysis images were created using the DEM as the learning data. The learning outcome achieved an accuracy of >0.856 for a 50 × 50 pixel window size CNN. This indicates that the decrease in the number of numerical analysis image types influenced the outcome. This study uses data from a limited range of DL sites in a topography specific to the accretionary zone. Although this CNN model is still in the initial stages of development, it accumulated many collapse cases and could contribute to disaster location screening, risk assessment, and hazard mapping during disasters.