bluuebunny/crossref_metadata_2025_split huggingface dataset:
Isolation and Characterization of Acetylcholinesterase Inhibitors from Piper longum and Binding Mode Predictions
Authors: Khatami Zakie , Herdlinger Sonja , Sarkhail Parisa , Zehl Martin , Kaehlig Hanspeter , Schuster Daniela , Adhami Hamid-Reza 
Published: July 2020

AbstractRestoration of cholinergic function is considered a rational approach to enhance cognitive performance. Acetylcholinesterase inhibitors are still the best therapeutic option for Alzheimerʼs disease. The fruits of Piper longum have been used in traditional medicines for the treatment of memory loss. It was demonstrated that the dichloromethane extract of these fruits is able to inhibit acetylcholinesterase. Thus, the aim of this study was to identify the contained acetylcholinesterase inhibitors. The active zones were presented via TLC-bioautography, and five compounds were isolated in the process of a bioassay-guided phytochemical investigation. Their structures were characterized as piperine, methyl piperate, guineenisine, pipercide, and pellitorine using spectroscopy and spectrometry methods (UV, IR, MS, 1H-, and 13C-NMR). In vitro acetylcholinesterase inhibitory activities of the isolates and their IC50 values were
determined via a colorimetric assay. Three of them exhibited enzyme inhibitory activities, with piperine being the most potent compound (IC50 of 0.3 mM). In order to investigate the binding mode of the tested compounds, docking studies were performed using the X-ray crystal structure of acetylcholinesterase from Tetronarce californica with the Protein Data Bank code 1EVE. The content of the active compounds in the extract was determined by a developed HPLC method. Piperine was present in the maximum quantity in the fruits (0.57%), whereas methyl piperate contained the minimum content (0.10%).
Effects of a Risk-Stratified Treatment in Patients with Chronic Back
Pain in Rehabilitation: Results of a Controlled Clinical Trial
Authors: Schmidt Christian , Bernert Sebastian , Sing Matthias , Fahrenkrog Sandra , Urbanski-Rini Dominika , Gottfried Thomas , Spyra Karla 
Published: July 2020

Abstract
Background and Aim The management of chronic low back pain is a
persisting challenge for multidisciplinary biopsychosocial rehabilitation
(MBR). A promising approach to improve the effectiveness is better
individual tailoring of the therapeutic minutes to the impairment. We
designed a questionnaire-based algorithm to identify individual risk
profiles, which allows physicians and patients to decide upon the kind and
amount of suitable and adequate therapeutic components of MBR. Our aim was
to test whether the algorithm leads to a shift in the therapeutic components
depending on the impairment, which should significantly increase the
functional capacity of the rehabilitants 6 months after the end of
rehabilitation.
Methods Between January and November 2016, a controlled clinical trial
with a sequential arrangement of study groups and 3 measurement time points
(start of rehabilitation, end of rehabilitation and 6-month follow-up) was
conducted. The control group (CG) passed through the standard inpatient MBR.
In the intervention group (IG)the MBR components were matched to the
individual risk-profiles determined via a new algorithm. The shift of
therapeutic minutes is displayed via boxplots. The primary outcome was
statistically tested by applying an analysis of covariance. All secondary
outcomes are presented descriptively.
Results Of 169 patients in total, 85 were assigned to the CG and 84 to
the IG. Complete data concerning the primary outcome were available for 76
(89.4%) patients in the CG and 75 (89.3%) patients in the
IG. Compared to the CG, the boxplots for the IG show a better fit of
therapeutic minutes according to the impairments. For example, in the IG,
the mean value of psychological therapies was about 120 min if they were
impaired and 44.3 min if not. In contrast, impaired tested patients of the
CG shown mean values of those therapies of about 96.6 min and 50.6 min if
not. The baseline adjusted mean difference in functional capacity was
significantly (p=0.047) improved by 4.4 points (95% CI:
0.063–8.465) in favor of the IG. . Main limitation is lack of
randomization. In order to avoid inadequate therapy recommendations, the
physician had the decision-making authority over the therapies.
Conclusion The application of the developed algorithm for individual
adaptation of the MBR increases the effectiveness of rehabilitation in terms
of functional capacity.
Warum der rehabilitativen Versorgung auch und gerade während
der COVID-19 Pandemie besondere Beachtung geschenkt werden muss: Ein Statement
der Deutschen Gesellschaft für Physikalische und Rehabilitative Medizin
(DGPRM)
Authors: Gutenbrunner Christoph , Best Norman , Glaesener Jean Jacques , Lange Uwe , Lemhöfer Christina , Lichti Gabriele , Liebl Max Emanuel , Reißhauer Anett , Schwarzkopf Susanne , Steinmetz Anke , Sturm Christian , Weigl Martin , Winkelmann Andreas , Krischak Gert 
Published: July 2020

ZusammenfassungAuch in Deutschland haben die Reaktionen auf die Pandemie mit dem
SARS-Coronavirus-2 zu erheblichen Einschnitten in fast allen
gesellschaftlichen Bereichen geführt und die Prioritäten der
Gesundheits- und Sozialpolitik dramatisch verschoben. Dies betrifft auch die
rehabilitative Versorgung in praktisch allen ihren Dimensionen. Das folgende
Statement der Deutschen Gesellschaft für Physikalische und
Rehabilitative Medizin (DGPRM) möchte einige Aspekte dieser
Entwicklungen aufzeigen und Empfehlungen ableiten.
Recurrent mismatch binding by MutS mobile clamps on DNA localizes repair complexes nearby
Authors: Hao Pengyu , LeBlanc Sharonda J. , Case Brandon C. , Elston Timothy C. , Hingorani Manju M. , Erie Dorothy A. , Weninger Keith R. 
Published: July 2020

Significance
DNA mismatch repair (MMR) proteins are essential for correcting base incorporation errors that occur during replication, greatly enhancing genomic stability. In all organisms, MutS and MutL homologs initiate MMR repair and are involved in several other DNA transactions, including DNA-damage–induced apoptosis and homologous recombination. Our study reveals that MutS mobile clamps hydrolyze ATP while remaining bound to DNA and frequently revisit the mismatch. We also find that MutL converts MutS mobile clamps into immobile MutS–MutL complexes. These immobile, multimeric complexes present a striking contrast to current MMR initiation models that envision MutS–MutL sliding freely on the DNA, effectively diffusing away from the mismatch. Our results support mechanisms that localize repair complexes to the vicinity of the mismatch.
Individual learning phenotypes drive collective behavior
Authors: Cook Chelsea N. , Lemanski Natalie J. , Mosqueiro Thiago , Ozturk Cahit , Gadau Jürgen , Pinter-Wollman Noa , Smith Brian H. 
Published: July 2020

Significance
Variation in individual cognition affects how animals learn about and communicate information to others. We provide evidence that differences in how individual honey bees learn influences the collective foraging dynamics of a colony. By creating colonies of distinct learning phenotypes, we evaluated how bees make foraging choices in the field. Colonies containing individuals that learn to ignore unimportant information preferred familiar food locations; however, colonies of individuals that are unable to ignore familiar information visit novel and familiar feeders equally. Colonies with a 50/50 mix of these phenotypes prefer familiar food locations because individuals who learn the familiar location recruit nestmates by dancing more intensely. Our results reveal that cognitive variation among individuals nonlinearly shapes collective behavioral outcomes.
Communicating sentiment and outlook reverses inaction against collective risks
Authors: Wang Zhen , Jusup Marko , Guo Hao , Shi Lei , Geček Sunčana , Anand Madhur , Perc Matjaž , Bauch Chris T. , Kurths Jürgen , Boccaletti Stefano , Schellnhuber Hans Joachim 
Published: July 2020

Significance
Collective risks trigger social dilemmas that require balancing selfish interests and common good. One important example is mitigating climate change, wherein without sufficient investments, worldwide negative consequences become increasingly likely. To study the social aspects of this problem, we organized a game experiment that reveals how group size, communication, and behavioral type drive prosocial action. We find that communicating sentiment and outlook leads to more positive outcomes, even among culturally heterogeneous groups. Although genuine free riders remain unfazed by communication, prosocial players better endure accumulated investment deficits, and thus fight off inaction as the failure looms. This suggests that climate negotiations may achieve more by leveraging existing goodwill than persuading skeptics to act.
TEAD4 ensures postimplantation development by promoting trophoblast self-renewal: An implication in early human pregnancy loss
Authors: Saha Biswarup , Ganguly Avishek , Home Pratik , Bhattacharya Bhaswati , Ray Soma , Ghosh Ananya , Rumi M. A. Karim , Marsh Courtney , French Valerie A. , Gunewardena Sumedha , Paul Soumen 
Published: July 2020

Significance
Reproductive success in placental mammals relies on proper development of the trophoblast lineage. In particular, a proper balance in self-renewal vs. differentiation of trophoblast progenitors is critical for establishment of pregnancy. A defect in this process causes early pregnancy loss. Here, we showed that the Hippo signaling effector, TEAD4, is essential for trophoblast progenitor self-renewal in early postimplantation mammalian embryos. Using genetic mouse models and human TSCs, including TSCs from patients with recurrent pregnancy losses, we identified a TEAD4-dependent, evolutionarily conserved gene expression program that promotes stemness and cell proliferation in trophoblast progenitors and ensures in utero survival of the developing fetus.
Analyzing dialogue moves in chronic care communication
Authors: Macagno Fabrizio , Bigi Sarah 
Published: July 2020

Abstract
Dialogue moves are a pragmatic instrument that captures the most important categories of “dialogical intentions.”
This paper adapts this tool to the conversational setting of chronic care communication, characterized by the general goal of
making reasoned decisions concerning patients’ conditions, shared by the latter. Seven mutually exclusive and comprehensive
categories were identified, whose reliability was tested on an Italian corpus of provider-patient encounters in diabetes care. The
application of this method was illustrated through explorative analyses identifying possible correlations between the dialogical
structure of medical interviews and one of the indicators of personalized decision-making, namely the specificity of the
recommendations given by the provider (“customization”). The statistical analyses show a significant correlation between the
exchange of personal information and very specific and customized recommendations for change. It suggests how the creation of
common ground, exceeding the boundaries of the paternalistic or patient-centered models, can lead to highly effective
communication.
Formation and control of the

E2∗

center in implanted β-Ga

2

O

3

by reverse-bias and zero-bias annealing
Authors: Zimmermann C , Førdestrøm Verhoeven E , Kalmann Frodason Y , Weiser P M , Varley J B , Vines L 
Published: July 2020

Abstract
Deep-level transient spectroscopy measurements are conducted on β-Ga

2

O

3

thin-films implanted with helium and hydrogen (H) to study the formation of the defect level

E

2

∗

(

E

A

= 0.71 eV) during heat treatments under an applied reverse-bias voltage (reverse-bias annealing). The formation of

E

2

∗

during reverse-bias annealing is a thermally-activated process exhibiting an activation energy of around 1.0 eV to 1.3 eV, and applying larger reverse-bias voltages during the heat treatment results in a larger concentration of

E

2

∗

. In contrast, heat treatments without an applied reverse-bias voltage (zero-bias annealing) can be used to decrease the

E

2

∗

concentration. The removal of

E

2

∗

is more pronounced if zero-bias anneals are performed in the presence of H. A scenario for the formation of

E

2

∗

is proposed, where the main effect of reverse-bias annealing is an effective change in the Fermi-level position within the space-charge region, and where

E

2

∗

is related to a defect complex involving intrinsic defects that exhibits several different configurations whose relative formation energies depend on the Fermi-level position. One of these configurations gives rise to

E

2

∗

, and is more likely to form if the Fermi-level position is further away from the conduction band edge. The defect complex related to

E

2

∗

can become hydrogenated, and the corresponding hydrogenated complex is likely to form when the Fermi level is close to the conduction band edge. Di-vacancy defects formed by oxygen and gallium vacancies (V

O

−V

G
a

) fulfill several of these requirements, and are proposed as potential candidates for

E

2

∗

.
COHmax: an algorithm to maximise coherence in estimates of dynamic cerebral autoregulation
Authors: Panerai Ronney B , Intharakham Kannakorn , Minhas Jatinder S , Llwyd Osian , Salinet Angela S M , Katsogridakis Emmanuel , Maggio Paola , Robinson Thompson G 
Published: July 2020

Abstract

Objective: The reliability of dynamic cerebral autoregulation (dCA) parameters, obtained with transfer function analysis (TFA) of spontaneous fluctuations in arterial blood pressure (BP), require statistically significant values of the coherence function. A new algorithm (COHmax) is proposed to increase values of coherence by means of the automated, selective removal of sub-segments of data. Approach: Healthy subjects were studied at baseline (normocapnia) and during 5% breathing of CO2 (hypercapnia). BP (Finapres), cerebral blood flow velocity (CBFV, transcranial Doppler), end-tidal CO2 (EtCO2, capnography) and heart rate (ECG) were recorded continuously during 5 min in each condition. TFA was performed with sub-segments of data of duration (SEGD) 100 s, 50 s or 25 s and the autoregulation index (ARI) was obtained from the CBFV response to a step change in BP. The area-under-the curve (AUC) was obtained from the receiver-operating characteristic (ROC) curve for the detection of changes in dCA resulting from hypercapnia. Main results: In 120 healthy subjects (69 male, age range 20–77 years), CO2 breathing was effective in changing mean EtCO2 and CBFV (p < 0.001). For SEGD = 100 s, ARI changed from 5.8 ± 1.4 (normocapnia) to 4.0 ± 1.7 (hypercapnia, p < 0.0001), with similar differences for SEGD = 50 s or 25 s. Depending on the value of SEGD, in normocapnia, 15.8% to 18.3% of ARI estimates were rejected due to poor coherence, with corresponding rates of 8.3% to 13.3% in hypercapnia. With increasing coherence, 36.4% to 63.2% of these could be recovered in normocapnia (p < 0.001) and 50.0% to 83.0% in hypercapnia (p < 0.005). For SEGD = 100 s, ROC AUC was not influenced by the algorithm, but it was superior to corresponding values for SEGD = 50 s or 25 s. Significance: COHmax has the potential to improve the yield of TFA estimates of dCA parameters, without introducing a bias or deterioration of their ability to detect impairment of autoregulation. Further studies are needed to assess the behaviour of the algorithm in patients with different cerebrovascular conditions.
ATLAS High Level Trigger within the multi-threaded software framework AthenaMT
Authors: Bielski Rafal 
Published: July 2020

Abstract
Athena is the software framework used in the ATLAS experiment throughout the data processing path, from the software trigger system through offline event reconstruction to physics analysis. The shift from high-power single-core CPUs to multi-core systems in the computing market means that the throughput capabilities of the framework have become limited by the available memory per process. For Run 2 of the Large Hadron Collider (LHC), ATLAS has exploited a multi-process forking approach with the copy-on-write mechanism to reduce the memory use. To better match the increasing CPU core count and, therefore, the decreasing available memory per core, a multi-threaded framework, AthenaMT, has been designed and is now being implemented. The ATLAS High Level Trigger (HLT) system has been remodelled to fit the new framework and to rely on common solutions between online and offline software to a greater extent than in Run 2. We present the implementation of the new HLT system within the AthenaMT framework, which is going to be used in ATLAS data-taking during Run 3 (2021 onwards) of the LHC. We also report on interfacing the new framework to the current ATLAS Trigger and Data Acquisition (TDAQ) system, which aims to bring increased flexibility whilst needing minimal modifications to the current system. In addition, we show some details of architectural choices which were made to run the HLT selection inside the ATLAS online dataflow, such as the handling of the event loop, returning of the trigger decision and handling of errors.
Variational Dropout Sparsification for Particle Identification speed-up
Authors: Ryzhikov Artem , Derkach Denis , Hushchyn Mikhail 
Published: July 2020

Abstract
Accurate particle identification (PID) is one of the most important aspects of the LHCb experiment. Modern machine learning techniques such as neural networks (NNs) are efficiently applied to this problem and are integrated into the LHCb software. In this research, we discuss novel applications of neural network speed-up techniques to achieve faster PID in LHC upgrade conditions. We show that the best results are obtained using variational dropout sparsification, which provides a prediction (feedforward pass) speed increase of up to a factor of sixteen even when compared to a model with shallow networks.
99mTc-Sulfur colloid single photon emission computed tomography for assessment of liver function
Authors: Dwihapsari Y , Evalisa M , Nazir F 
Published: July 2020

Abstract
The assessment of liver function is essential in diagnosis and assessment of therapy of liver diseases. Single-photon emission computed tomography (SPECT) gamma camera allows the assessment of liver function and measurement of functional liver volume. Several studies reported SPECT imaging of liver using some radiotracers, such as 99mTc-GSA and 99mTc-mebrofenin. In this study, liver function was observed using 99mTc-labelled sulfur colloid SPECT imaging. 99mTc-labelled sulfur colloid was administered intravenously and scanned using SPECT in 24 volunteers. Images were then processed to obtain liver and spleen uptake. The segmented images were processed to obtain liver/spleen uptake and left lobe/right lobe uptake in the liver to assess the liver function of volunteers. The result showed that 99mTc-sulfur colloid could give description on liver function and showed significant difference between normal and abnormal volunteers.
Acoustic characteristics board of areca nuts fiber composites
Authors: Taufik M , Doyan A , Susilawati  , Hakim S , Muliyadi L 
Published: July 2020

Abstract
This research aimed to determine the ability of Areca nuts fiber composite in sound absorption. The Areca nuts fiber composite board uses polyester resin as a binder. The Areca nuts fiber used in this research is fiber obtained from Areca nuts which are old and are not being used anymore. The sample was made by varying the concentration of fiber used (30, 40, 50, 60 and 70) %. The result of the absorbency coefficient of the composite is proportional to the concentration of fiber used. The Areca nuts fiber composite board is excellent to be used as a sound absorbance material because it has the highest absorption coefficient of 0.77, higher than the absorbency coefficient of ISO 11654 standard; 1997 (E) of 0.15. Sound absorption is obtained from measurements using impedance tube bystandardizing ASTM E1050-1990. The addition of Areca Nuts concentration makes the composite the higher the level of absorbance that makes the quality of the composite as an absorber the higher the quality. It was found that this composite has the characteristic of being able to absorb sound high enough at the sound frequency despite the high frequency.
A frequency generator of 40-60 kHz based on arduino for ultrasonic cleaner applications
Authors: Junaidi  , Sulistiya A , Surtono A , Supriyanto A , Warsito  
Published: July 2020

Abstract
In this study, the design and implementation of a frequency generator of 40 to 60 kHz based on Arduino were carried out by using the pulse width modulation (PWM) technique for ultrasonic cleaner applications. The components used in the study are Arduino Uno, Stainless Tank, four digits seven segment, 4×4 keypad module, TM 1637 module, dimmer module, frequency generator module, and switching mode power supply (SMPS). Calibration of the voltage, frequency, and vibration strength using are multimeters, Equivalent Series Resistance (ESR) meters, and vibration meters. This study aims to design and analyze ultrasonic generator drivers used an Arduino for controlling frequency and time. The regulated input frequency of 50-200 Hz produces an output voltage of 0.3-4.0 volt and an output frequency of 40-60 kHz from an ultrasonic generator. The output voltage is more stable and precision than the frequency output. The ultrasonic cleaner produced has a very high level of precision and accuracy. The relationship of vibration to frequency is directly proportional, the greater the frequency, the greater the vibration produced. The voltage and frequency are inversely proportional; the greater the frequency, the voltage will be smaller.
Development of e-module using flip pdf professional on temperature and heat material
Authors: Komikesari H , Mutoharoh M , Dewi P S , Utami G N , Anggraini W , Himmah E F 
Published: July 2020

Abstract
Research and development are intended to determine the feasibility and the responses of students and educators to the development of e-modules using flip pdf professional on temperature and heat material. The method used was adopted from Borg & Gall development model. The validation product of e-modules using flip pdf professional as learning media have fulfilled very good criteria with a percentage of material expert evaluations of 92,08%, media experts of 89,1%, and religious experts of 90%. While the responses of students and educators obtained very good criteria with percentage for small group trials of 88.15%, field trials of 88.03%, and educator response tests of 85.96%. Based on the results, the development of e-module using flip pdf professional can be used as a learning media.