bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metastasis of cholangiocarcinoma is promoted by extended high-mannose glycans
Authors: Park Diane Dayoung , Phoomak Chatchai , Xu Gege , Olney Laura P. , Tran Khiem A. , Park Simon S. , Haigh Nathan E. , Luxardi Guillaume , Lert-itthiporn Worachart , Shimoda Michiko , Li Qiongyu , Matoba Nobuyuki , Fierro Fernando , Wongkham Sopit , Maverakis Emanual , Lebrilla Carlito B. 
Published: March 2020

Significance
Cells assemble a dense layer composed of glycans on the plasma membrane, following nontemplated processes that can be perturbed during malignancy. The intrinsic heterogeneity of glycosylation presents challenges to unambiguously identifying disease-specific transformations and selectively targeting them while preventing off-target events. Here, we show that extended high-mannose glycans are more abundantly expressed in metastatic cholangiocarcinoma than in the parental tumor cells from which they were derived. With structure-guided manipulations, extended high-mannose glycans were implicated in supporting cholangiocarcinoma metastasis by enhancing the ability to translocate, invade surrounding basement membrane matrix, and migrate through micropores. Isolation of high-mannose–bearing glycoproteins and computational modeling suggested that dominance of extended high-mannose glycosylation drives metastatic progression by indirectly strengthening extracellular protein complexes.
Oncogenic human herpesvirus hijacks proline metabolism for tumorigenesis
Authors: Choi Un Yung , Lee Jae Jin , Park Angela , Zhu Wei , Lee Hye-Ra , Choi Youn Jung , Yoo Ji-Seung , Yu Claire , Feng Pinghui , Gao Shou-Jiang , Chen Shaochen , Eoh Hyungjin , Jung Jae U. 
Published: March 2020

Significance
While understanding metabolic change of tumor cells is crucial to improve cancer therapy, current 2D cell culture condition may not fully recapitulate in vivo metabolic environment of tumors. Our metabolomics analysis demonstrates that proline metabolism is critical for the KSHV-transformed cell growth in 3D culture, not in 2D culture. Specifically, the KSHV K1 oncoprotein activates PYCR proline biosynthesis enzyme, increasing intracellular proline concentration for tumor cell growth in in vitro 3D spheroid culture and in vivo tumorigenesis. This study describes an oncogenic strategy of KSHV to enhance proline synthesis for virus-induced transformation, adding the proline metabolic pathway as a potential target for KS treatment.
Sufficiency of CD40 activation and immune checkpoint blockade for T cell priming and tumor immunity
Authors: Morrison Alexander H. , Diamond Mark S. , Hay Ceire A. , Byrne Katelyn T. , Vonderheide Robert H. 
Published: March 2020

Significance
We report that CD40 activation can provide an immunological “missing link” by priming T cells and synergizing with immune checkpoint blockade in a highly refractory pancreas cancer genetic mouse model. The underlying mechanism is mediated by CD40 ligation, representing an alternative molecular pathway distinct from pattern recognition receptor stimulation that connects dendritic cell activation to adaptive immunity, enabling T cell priming that is otherwise unachievable in pancreatic cancer.
Ergoic framing in New Right online groups
Authors: Procházka Ondřej , Blommaert† Jan 
Published: March 2020

AbstractConspiracy theories are often disqualified as inadequate and deliberate forms of misinformation. In this analysis, we engage with a specific case, the conspiracy theory developed on an online New Right forum called Q about the so-called “MAGA Kid incident” with focus on its circulation and uptake on Facebook. Drawing on ethnomethodological principles, the analysis shows how ergoic argumentation is systematically being deployed as a means of debunking rational-factual discourses about such incidents. While rationality itself is being rejected, conspiracy theorists deploy “reasonable” knowledge tactics. The paper shows how conspiracy theorists skillfully mobilize social media affordances, particularly Internet memes, to promote conspiracism as a form of inclusive political activism as well as a legitimate and “critical” mode of reasoning.
Local Health Departments and the Implementation of Evidence-Based Policies to Address Opioid Overdose Mortality
Authors: Feuerstein-Simon Rachel , Lowenstein Margaret , Sharma Meghana , Dupuis Roxanne , Luna Marti Xochitl , Cannuscio Carolyn C. 
Published: March 2020

Background In the context of the opioid overdose crisis, local health departments are on the front lines, coordinating programs and services and translating state and federal policies into community action. While media reports describe growth of Overdose Education and Naloxone Distribution (OEND) programs among local health departments, little is known about program features, scope, and target populations. Methods We surveyed health departments in 180 United States counties with high overdose mortality rates. Results Among health officials from 54 counties (30% response), many counties reported implementation of evidence-based practices, with a high degree of programmatic variation. The majority of responding health departments (94%) conducted overdose education and naloxone distribution (OEND) programs. Programs were heterogeneous in scale, with a reported median of 250 naloxone kits (range 1–25,000 kits) acquired for community distribution. In addition, four in five respondents were aware of their state's standing order policy for increasing naloxone access. While the majority of respondents reported county-level availability of at least one form of evidence-based medications to treat opioid use disorder (MOUD), many reported no availability of buprenorphine (33%) or methadone (43%). Conclusions Local health departments are vital to reducing opioid overdose mortality, and many are implementing relevant evidence-based practices. To support further adoption of potentially life-saving strategies, health departments need adequate funding and staffing as well as policies and guidelines to support implementation.
Affective psychological restoration through mediated exposure to the environment (Restauración psicológica afectiva a partir de la exposición mediada del ambiente)
Authors: Martínez-Soto Joel , González-Santos Leopoldo 
Published: March 2020

This paper reports on the affective psychological restoration achieved through exposure to images with varying degrees of restorative potential. By means of an experimental paradigm to evaluate psychological restoration, 55 university students were grouped into two experimental conditions: environments with a high level of restorative potential (HRP; 23, mean age M = 23.70, SD = 5.66) and a low level of restorative potential (LRP; 32, mean age M = 23.31, SD = 1.89). Self-reported scores for stress, fatigue, vigour and arousal were evaluated in both groups, considering a baseline state, after exposure to a stressor, and subsequent to exposure to an environmental condition. After creating a need for restoration, exposure to HRP environments had positive effects on the measures of affect (recovery from stress, reduction in fatigue, greater vitality and arousal), and a significant decrease in levels of vigour post environmental exposure. The results allow us to quantify the impact of a bank of restorative images on the affective restoration of a Mexican population.
Non-equilibrium effects in a relativistic plasma sheath model
Authors: Formenti A , Maffini A , Passoni M 
Published: March 2020

Abstract
Plasma sheaths characterized by electrons with relativistic energies and far from thermodynamic equilibrium are governed by a rich and largely unexplored physics. A reliable kinetic description of relativistic non-equilibrium plasma sheaths—besides its interest from a fundamental point of view—is crucial to many application, from controlled nuclear fusion to laser-driven particle acceleration. Sheath models proposed in the literature adopt either relativistic equilibrium distribution functions or non-relativistic non-equilibrium distribution functions, making it impossible to properly capture the physics involved when both relativistic and non-equilibrium effects are important. Here we tackle this issue by solving the electrostatic Vlasov–Poisson equations with a new class of fully-relativistic distribution functions that can describe non-equilibrium features via a real scalar parameter. After having discussed the general properties of the distribution functions and the resulting plasma sheath model, we establish an approach to investigate the effect of non-equilibrium solely. Then, we apply our approach to describe laser–plasma ion acceleration in the target normal sheath acceleration scheme. Results show how different degrees of non-equilibrium lead to the formation of sheaths with significantly different features, thereby having a relevant impact on the ion acceleration process. We believe that this approach can offer a deeper understanding of relativistic plasma sheaths, opening new perspectives in view of their applications.
Network dynamics on graphops
Authors: Kuehn Christian 
Published: March 2020

Abstract
In this article we report on a novel way to incorporate complex network structure into the analysis of interacting particle systems. More precisely, it is well-known that in well-mixed/homogeneous/all-to-all-coupled systems, one may derive mean-field limit equations such as Vlasov–Fokker–Planck equations (VFPEs). A mesoscopic VFPE describes the probability of finding a single vertex/particle in a certain state, forming a bridge between microscopic statistical physics and macroscopic fluid-type approximations. One major obstacle in this framework is to incorporate complex network structures into limiting equations. In many cases, only heuristic approximations exist, or the limits rely on particular classes of integral operators. In this paper, we notice that there is a much more elegant, and profoundly more general, way available due to recent progress in the theory of graph limits. In particular, we show how one may easily enter complex network dynamics via graphops (graph operators) into VFPEs.
Complete phase retrieval of photoelectron wavepackets
Authors: Pedrelli L , Keathley P D , Cattaneo L , Kärtner F X , Keller U 
Published: March 2020

Abstract
Coherent, broadband pulses of extreme ultraviolet light provide a new and exciting tool for exploring attosecond electron dynamics. Using photoelectron streaking, interferometric spectrograms can be generated that contain a wealth of information about the phase properties of the photoionization process. If properly retrieved, this phase information reveals attosecond dynamics during photoelectron emission such as multielectron dynamics and resonance processes. However, until now, the full retrieval of the continuous electron wavepacket phase from isolated attosecond pulses has remained challenging. Here, after elucidating key approximations and limitations that hinder one from extracting the coherent electron wavepacket dynamics using available retrieval algorithms, we present a new method called absolute complex dipole transition matrix element reconstruction (ACDC). We apply the ACDC method to experimental spectrograms to resolve the phase and group delay difference between photoelectrons emitted from Ne and Ar. Our results reveal subtle dynamics in this group delay difference of photoelectrons emitted form Ar. These group delay dynamics were not resolvable with prior methods that were only able to extract phase information at discrete energy levels, emphasizing the importance of a complete and continuous phase retrieval technique such as ACDC. Here we also make this new ACDC retrieval algorithm available with appropriate citation in return.
Non-classical current noise and light emission of an ac-driven tunnel junction
Authors: Zhan Hongxin , Rastelli Gianluca , Belzig Wolfgang 
Published: March 2020

Abstract
The nonsymmetrized current noise is crucial for the analysis of light emission in nanojunctions. The latter represent non-classical photon emitters whose description requires a full quantum approach. It was found experimentally that light emission can occur with a photon energy exceeding the applied dc voltage, which intuitively should be forbidden due to the Pauli principle. This overbias light emission cannot be described by the single-electron physics, but can be explained by two-electron or even three-electron processes, correlated by a local resonant mode in analogy to the well-known dynamical Coulomb blockade (DCB). Here, we obtain the nonsymmetrized noise for junctions driven by an arbitrarily shaped periodic voltage. We find that when the junction is driven, the overbias light emission exhibits intriguingly different features compared to the dc case. In addition to kinks at multiples of the bias voltage, side kinks appear at integer multiples of the ac driving frequency. Our work generalizes the DCB theory of light emission to driven tunnel junctions and opens the avenue for engineered quantum light sources, which can be tuned purely by applied voltages.
Characteristics of physico-chemical and functional properties of starch extracts from tubers
Authors: Azima F , Nazir N , Efendi H C 
Published: March 2020

Abstract
This research was aimed to determine the physico-chemical and functional properties of tubers starches and find out a suitable application in food products. Starch from tubers that analyzed were sweet cassava, bitter cassava, white sweet potato, red sweet potato, yellow sweet potato. The results of the physical analysis of Tubers starches were yield (10.86-17.57%), fineness (90.55-92.28%), whiteness (93.82-96.50). The results of chemical analysis of Tubers starches were water (6.51- 8.70%), ash (0.31- 0.43%), fat (0.27-0.37%), protein (0.14-0.16%), starch (82.46-89.05 %), amylose (15.47-17.55%), degree of acid (1.03-1.50 ml NaOH 1N/100g) and residual sulphite (31.44-38.10 ppm). The results of the functional properties analysis of tubers starches were water absorption capacity (0.884-0.951), oil absorption capacity (0.962-1.152), Freeze-Thaw Stability (18.85-40.53%), swelling power at 950C (14, 17-15, 73g/g), solubility at 950C (8, 40 to 17, 16%), the beginning temperature of gelatinization (51-70, 50C), maximum viscosity (475-1733BU), setback (30-487 BU) breakdown (188-850 BU), the stability of pasta (-90- (-390) BU).
Clinical improvement after surgical treatment posterior approaches of cervical schwannoma C5-6 anterior with radiculopathy bilateral: A case report
Authors: Ermawan R , Adriansyah D 
Published: March 2020

Abstract
Schwannoma is a benign, encapsulated, benign tumor that grows slowly from neural fairy cells in the nerve sheath. Extracranial schwannoma is a rare case. These tumors can cause neurological deficits because of their intradural location and suppress the spinal cord so it needs to be decompressed to prevent permanent nerve damage. We reported one case of cervical schwannoma with a neurologic deficit in the form of a numbness in four of limbs since 6 month before admission, we finally performed a laminectomy – posterior durotomy and tumor excision with posterior approach without intraoperative monitoring. The result is a return of neurological function in the patient no complain about pain and patient satisfy with the result.
Response of the growth superior sugarcane clones on soil acidity levels sourced from budchip seeds
Authors: Uchtiawati S , Budi S , Arifani Y , Prihatiningrum A E 
Published: March 2020

Abstract
Low productivity of sugarcane crop effects directly to sugar production. The low sugar production makes price principal sales become high. As a result, farmers income becomes low. One of causing low productivity is the variety of sugarcane crop which is planted has not good quality. One of efforts to increase sugarcane productivity is by producing superior sugarcane variety by doing crossing. This research cooperates with PG Gempol krep produced some sugarcane clones including SB1, SB2, SB3, SB4 and P3. The objective of this research is examining growth response of some sugarcane clones on soil acidity levels sourced from budchips seeds. This research used random complete group design which consist of two factorials and repeated three times. The first factor is sugarcane clones consist of SB1, SB2, SB3, SB4, P3 and BL as the control. The second factor is soil acidity levels consist of soil with pH 4.5, pH 7 and pH 8.2. The growth indicators of plant which observed include plant height, number of leaves, and number of tiller. The result showed that there is significant interaction of treatment sugarcane clones sourced from budchips seeds on variables number of tillers. The treatment of soil acidity levels showed significant interaction on the growth of sugarcane clones sourced from budchips seeds. There is no significant interaction between treatment sugarcane clones and soil acidity levels on sugarcane growth which planted from budchips seeds.
Coffee pulp fermentation techniques for the sustainable organic agriculture
Authors: Sutanto A , Achyani A , Noor R , Subandowo D , Thresia F 
Published: March 2020

Abstract
This paper discusses the potential issues in Lampung province of Sumatera, Indonesia where the majority of the people are to earn a livelihood as a coffee farmer. This place has potential benefits to increase land of coffee farms in order to make greater capacity and economic sector by using an environmentally-friendly technology. To date, the utilization of coffee pulps is only by freely spreading to the coffee farms. In doing so, the technological fermentation by using Indigenous bacteria that has role to produce organic fertilizer of coffee pulps helps gain the soil fertility. This study used descriptive data analysis with community practical approach. The results show that the growth of coffee and other intercropping plants like chili is more fertilized, easy to flower, and it lengthens the shoot growth. In addition, the coffee production seems like changing in the amount of quantity that tends to get better. The significant number also showed by the production of chili because the harvest season is longer than usual. Another advantage by using this fermentation is that the use of non-organic fertilizer can be reduced up to level 80 per cent. Likewise, this condition automatically dropped the production cost.
A novel and innovative drug delivery system in fast dissolving oral film of glimepiride-betacyclodextrin inclusion complexes
Authors: Darusman F , Soewondo B P , Alatas S A M N 
Published: March 2020

Abstract
Delivery system in fast dissolving oral film is the system in which drug can be released immediately without drinking water and can be dissolved in saliva, then absorbed into the body through the oral cavity. Glimepiride is classified in the Biopharmaceutics Classification System class II which has a low solubility in water. Formation of glimepiride inclusion complexes using betacyclodextrin is known to increase solubility while suppressing the bitter taste of glimepiride. The purpose of this study was to develop FDOF preparations containing glimepiridebetacyclodextrin (1:2) inclusion complexes made by co-grinding technique. The development of the FDOF formula begins with the orientation of the formula which varies the concentration of crospovidone as superdisintegrant and PEG 400 as plasticizer. The FDOF were made from two formulas, with one formula containing glimepiride-betacyclodextrin (1:2) inclusion complexes and the other formula containing pure glimepiride as the active ingredient, using the solvent casting method with HPMC E5 LV as the film forming agent. The final evaluations of FDOF include organoleptic, weight variation, film thickness, surface pH, disintegration time, drug content, dissolution rate, percent elongation, tensile strength and folding endurance tests. The best FDOF formula from optimization process contain HPMC E5 LV 35% as film forming agent, PEG 400 15% as plasticizer and 8% crospovidone as superdisintegrant. From the results of final preparation evaluation, FDOF containing glimepiride-betacyclodextrin (1:2) inclusion complexes proved to be better than FDOF containing pure glimepiride.
Mechanical properties of nanogrout as advanced material for construction
Authors: Jonbi J , Tjahjani A R I , Meutia W , Yahya I , Shodik J 
Published: March 2020

Abstract
Recent development in construction industry requires new materials with higher mechanical properties. Therefore, it is necessary to develop grout materials using materials at nano scale. The purpose of this study is to determine the optimal content of nanosilica in grout material. Initial mix was given code G0. Then the nanosilica was added with 1% content (code G1), 2% content (G2), 3% (G3), and finally 5% nanosilica content (G5). Compressive strength tests were carried out when the grout was aged 1, 3, 7, and 28 days. Whereas flexural strength test was carried out at 28 days. The result finding showed that the optimal nanosilica content was at 3% (G3), significantly improved compressive strength 24.6%, tensile strength 20.9% and flexural strength 25.6%. The contribution of this research is to introduce nanogrout as an advanced material, to overcome the challenges of increasingly complex construction work in the future.
Measuring leanness index using fuzzy logic approach
Authors: Dahda S S , Andesta D , Wicaksono A S 
Published: March 2020

Abstract
Continuing competitive advantage will be a goal that will be increased by all types of industry to win the competition. The application of Lean production is a necessity for the industry to be able to increase the competitive advantage. This competitive advantage is achieved by waste elimination and cost reduction programs through the implementation of lean practice. In its implementation, there are many obstacles that occur, including lack of understanding and implementation of lean production that should be carried out. Leanness is a measure of the level of implementation of lean practices. In this paper, the dimensions that are the main areas of concern in lean production implementation are quality, customer, process, human resource and delivery-supplier. By using the advantages of fuzzy logic in performance appraisal and giving qualitative importance to avoid data impreciseness and vagueness. The built-in fuzzy linguistic level is used to identify the position of the industry at the level of application of lean production expressed by Fuzzy Leanness Index. The built model can be used for assessment and identify areas in the industry that have and have not contributed to the implementation of lean production.
Machine learning approach for Acute Respiratory Infections (ISPA) prediction: Case study Indonesia
Authors: R Ginantra N L W S , Indradewi I G A D , Hartono E 
Published: March 2020

Abstract
The progress of human civilization is growing rapidly in all areas of life. Science and technology are hereby inseparable from the life of modern society and capital. Can’t be denied the results of the life of modern society and capital spawned industries that have a big impact to the cause of the Acute Respiratory Infections (ISPA). Acute Respiratory Infections (ISPA) is a disease that attacks the breath through the nose, throat including adnexa network like sinuses with symptoms such as fever, sore throat and cough. In Indonesia ISPA ranks first cause of death in infant group and toddlers with percentages 38, 80% of all toddler mortality. ISPA is a major cause of patient visits in health services, 40-60% visit at community health clinic and 15-30% visit treatment at hospital inpatient or outpatient. In this research, we collect the dataset we get from Community Health Clinic around Denpasar and Tabanan, Bali, Indonesia. The dataset consists of 14 attribute and 150 rows of data. In this study we conducted a study to predict and diagnose disease in a person whether positive suffering from ISPA or negative in accordance with the symptoms caused by using the machine approach. In this research we will make comparisons from some algorithm is KNN, SVM, Naïve Bayes and with Neural Network. The result this research the best performance is SVM with value sensitivity 100%, specificity 100% and accuracy 100%.