bluuebunny/crossref_metadata_2025_split huggingface dataset:
Standard Changing News der Senologie und der Gynäkologischen Onkologie 2020
Authors: Preuß Caroline , Hein Alexander , Beckmann Matthias W. , Jud Sebastian M. 
Published: November 2020

ZUSAMMENFASSUNGViele Publikationen machten das onkologische Jahr 2019/2020 wieder zu einem spannenden und hoffnungsvollen Jahr im Bereich der Senologie und der Gynäkologischen Onkologie. Die großen onkologischen Kongresse ESMO und das San Antonio Breast Cancer Symposium fanden im Herbst 2019 noch in gewohnter Form statt, während das ASCO Annual Meeting im Mai 2020 aufgrund der weltweiten Corona-Pandemie als virtueller Kongress stattfand.Weiterhin sind individuelle Therapiekonzepte im Sinne einer personalisierten Medizin der richtungsweisende Trend. Therapieentscheidungen basieren neben individuellen Patientenfaktoren zunehmend auf der Grundlage molekularpathologischer und genetischer Tumoreigenschaften. Zielgerichtete Tumortherapien verdrängen immer mehr die „klassischen“ Chemotherapien oder ergänzen diese zum Beispiel als Erhaltungstherapie nach Ansprechen auf eine Chemotherapie. Die Tumortherapien müssen sich nicht mehr „nur“ an ihrer antitumorösen Wirksamkeit wie Overall survival (OS) oder Progression free survival (PFS) messen lassen, sondern auch an ihrer Verträglichkeit für die Patienten, dem Nebenwirkungsspektrum und der Lebensqualität der Patienten.Der folgende Artikel soll gegliedert in Mammakarzinom, Ovarialkarzinom, Zervixkarzinom und Endometriumkarzinom einen Überblick über die neuesten Entwicklungen und aktuellsten wissenschaftlichen Daten des jeweiligen Malignoms vermitteln. Die wichtigsten Key Massages sind am Ende des jeweiligen Abschnittes zusammengefasst.
Künstliche Intelligenz und Next Generation Sequencing
Authors: Haas Rainer , Jäger Paul S. 
Published: November 2020

ZUSAMMENFASSUNGMit diesem Artikel möchten wir dem Leser verdeutlichen, wie in den letzten Jahrzehnten dank der Fortschritte in der Molekularbiologie neue medizinisch relevante Erkenntnisse bei myeloischen Neoplasien gewonnen wurden. Das wachsende Verständnis der zugrundeliegenden Pathophysiologie ist auf die Identifizierung spezifischer genomischer Veränderungen zurückzuführen und liefert uns sehr empfindliche Werkzeuge für die Diagnostik, Prognoseabschätzung und das Therapiemonitoring. Zusätzlich ebnet uns die Identifizierung bestimmter molekularer Zielstrukturen den Weg zu einer individualisierten oder personalisierten Therapie. Insbesondere die rasche Entwicklung neuer Sequenzierungstechniken für das menschliche Genom wie Next Generation Sequencing hat zu diesem Fortschritt beigetragen. Einhergehend mit diesem Fortschritt, stehen wir jedoch auch vor neuen Herausforderungen hinsichtlich der Interpretation der gewonnenen Daten. In jüngster Zeit haben uns neue Auswertungsverfahren, die sich unter anderem bei Methoden aus dem Gebiet der künstlichen Intelligenz bedienen, Werkzeuge zur Verfügung gestellt, um die komplexen Wechselwirkungen von genomischen Veränderungen, Krankheitsverlauf und weiteren Faktoren genauer analysieren zu können und welche in Zukunft für den Kliniker an Relevanz gewinnen können.
Modular Synthesis of α-Substituted Alkenyl Acetals by a Palladium-Catalyzed Suzuki Reaction of α-Haloalkenyl Acetals with Organoboranes
Authors: Zhang Li 
Published: November 2020

AbstractA modular and straightforward synthetic strategy for the preparation of α-substituted alkenyl acetals has been developed. α-Haloalkenyl acetals react smoothly with (het)aryl boronic acids, aryl boronates, or B-alkyl-9-borabicyclo[3.3.1]nonanes through Pd-catalyzed Suzuki cross-coupling under mild conditions with good to high yields. This protocol features a broad substrate scope and good functional-group compatibility, and is easily scaled up.
Immediate Postoperative Improvement in Gait Parameters following Primary Total Knee Arthroplasty Can Be Measured with an Insole Sensor Device
Authors: Pfeufer Daniel , Monteiro Priscila , Gililland Jeremy , Anderson Mike B. , Böcker Wolfgang , Stagg Marissa , Kammerlander Christian , Neuerburg Carl , Pelt Christopher 
Published: November 2020

AbstractTotal knee arthroplasty (TKA) improves the quality of life in those suffering from debilitating arthritis of the knee. However, little is known about the influence of TKA on restoring physical function. Prior studies have used artificial means, such as instrumented treadmills, to assess physical function after TKA. In this study an insole sensor device was used to quantify parameters of gait. The purpose of this study was to evaluate the ability of a wearable insole sensor device to measure immediate postoperative gait parameters at 2 weeks and 6 weeks following primary TKA and to determine if the device was suitable and sensitive enough to identify and measure potentially subtle changes in these measures at these early postoperative time periods. Twenty-nine patients with unilateral TKA, without contralateral knee pain, and aid-free walking before surgery were evaluated. An insole force sensor measured the postoperative parameters while walking a distance of 40 m on level ground at 2 and 6 weeks after TKA. The loading rate of the operated lower extremity was an average of 68.7% of the contralateral side at 2 weeks post-surgery and increased to 82.1% at 6 weeks post-surgery (p < 0.001). The mean gait speed increased from 0.75 to 1.02 m/s, (p < 0.001) and cadence increased from 82.9 to 99.9 steps/min (p < 0.001), while the numeric pain scale at rest decreased from 3.5/10 to 2.2/10, (p < 0.001) and the pain while walking from 3.9/10 to 2.4/10, (p < 0.001) from 2 to 6 weeks post-surgery. A significant improvement in gait parameters is detectable in the first 6 weeks after surgery with the use of a wearable insole device. As the gait speed and cadence increase and the VAS pain level decreases, the loading rate and average peak force begin to normalize. This device may allow for early gait analysis and have potential clinical utility in detecting early differences in patients' functional status following TKA.
Restoration of Five Digit Hand in Type III B & C Thumb Hypoplasia–A Game Changer in Surgical Management
Authors: Balakrishnan G. , Vijayaragavan S. , Somesh B. 
Published: November 2020

AbstractBackground Hypoplasia of thumb is the second common congenital difference of the thumb, next only to duplication. It may occur as an isolated hand difference or as a part of radial longitudinal deficiency. In approximately 60% of these children, the radius shows hypoplasia. The incidence of thumb hypoplasia is one in 100,000 live births. In 50% of these children, the other hand will also have similar deficiency, although variable in severity. Hypoplasia of thumb has been classified into five major categories, according to the increasing severity of hypoplasia. Type III hypoplasia of thumb is characterized by skeletal hypoplasia involving the first metacarpal and carpometacarpal joint, absent intrinsic muscles and rudimentary extrinsic muscles. It was further subclassified into types A, B & C. Type III B, described by Manske and McCarroll, involves extensive deficiency of extrinsic and intrinsic musculature with aplasia of the metacarpal base. Type III C, described by Buck-Gramcko, has hypoplastic metacarpal head.Methods It is widely believed that reconstruction of Type III B & C hypoplastic thumb will not be functionally useful, and they are often included in the indications for pollicization in thumb hypoplasia. In India, we frequently come across parents, who are not willing to remove the hypoplastic digit. This forced us to find out a way to reconstruct the hypoplastic thumb into a functionally useful digit. We describe our surgical technique of reconstruction of hypoplastic thumbs and our experience in utilization of the technique in five children with Type III B & C hypoplasia of thumb. Carpometacarpal joint of thumb was reconstructed and stabilized with a toe phalangeal transfer in the first stage and an opponensplasty was done in the second stage to improve movement.Results In all the five operated children, our surgical technique yielded a stable thumb which was functional. The donor site morbidity was acceptable. The parents were satisfied with the appearance and functional improvement.Conclusion Surgical reconstruction of hypoplastic thumbs of Type III B & C is possible, and conversion of these poorly developed remnants into a useful digit by our surgical technique is a gamechanger in the management of thumb hypoplasia.
Gestational Age Dependency of Umbilical Cord Serum IL-6 Levels for Detecting Fetal Inflammation
Authors: Iwatani Sota , Kobayashi Takao , Matsui Sachiko , Hirata Akihiro , Yamamoto Miwa , Yoshida Makiko , Yoshimoto Seiji , Nakao Hideto 
Published: November 2020

Objective The fetal inflammatory response syndrome (FIRS) is characterized by elevated concentrations of inflammatory cytokines in fetal blood, with preterm delivery and morbidity. Umbilical cord serum interleukin-6 (UC-s-IL-6) is an ideal marker for detecting FIRS. However, the effect of gestational age (GA) on UC-s-IL-6 levels has not been reported. This study aimed to determine the relationship between GA and UC-s-IL-6 levels, and GA-dependent cutoff values of UC-s-IL-6 levels for detecting fetal inflammation.
Study Design UC-s-IL-6 concentrations were measured in 194 newborns (44 extremely preterm newborns (EPNs) at 22–27 weeks' GA, 68 very preterm newborns (VPNs) at 28–31 weeks' GA, and 82 preterm newborns (PNs) at 32–34 weeks' GA). Linear regression analyses were used to correlate GA and UC-s-IL-6 levels. Receiver operating characteristic (ROC) curves analyses were performed for detecting the presence of funisitis, as the histopathological counterpart of FIRS.
Results A significant negative correlation between GA and UC-s-IL-6 levels was found in newborns with severe funisitis (r
s =  − 0.427, p = 0.004) and those with mild funisitis (r
s =  − 0.396, p = 0.025). ROC curve analyses revealed the area under the curve for detecting funisitis were 0.856, 0.837, and 0.622 in EPNs, VPNs, and PNs, respectively. The UC-s-IL-6 cutoff value in EPNs (28.1 pg/mL) exceeded those in VPNs and PNs (3.7 and 3.0 pg/mL, respectively).
Conclusion UC-s-IL-6 levels were inversely correlated with GA especially in newborns with funisitis. Such GA dependency of UC-s-IL-6 should be considered for detecting fetal inflammation.
Key Points
The Golden Hour: Early Interventions for Medical Emergencies during Pregnancy
Authors: Pacheco Luis D. , Lozada M. J. , Saade George R. 
Published: November 2020

Maternal mortality has increased in the last decades in the United States as a result of increased prevalence of coexisting medical diseases such as hypertension, diabetes, and both acquired and congenital heart diseases. Obstetricians and maternal–fetal medicine physicians should have the basic medical knowledge to initiate appropriate diagnostic and early therapeutic interventions since they may be the only provider available at the time of presentation. The goal of this article is not to extensively discuss the management of complex medical diseases during pregnancy, rather we provide a concise review of key early medical interventions that will likely result in improved clinical outcomes.
Key Points
The effect of medium‐term heat acclimation on endurance performance in a temperate environment
Authors: Corbett Jo , Massey Heather C. , Costello Joseph T. , Tipton Michael J. , Neal Rebecca A. 
Published: November 2020

AbstractWe investigated whether an 11‐day heat acclimation programme (HA) enhanced endurance performance in a temperate environment, and the mechanisms underpinning any ergogenic effect. Twenty‐four males (V̇O2max: 56.7 ± 7.5 mL·kg−1·min−1) completed either: (i) HA consisting of 11 consecutive daily exercise sessions (60–90 min·day−1; n = 16) in a hot environment (40°C, 50% RH) or; (ii) duration and exertion matched exercise in cool conditions (CON; n = 8 [11°C, 60% RH]). Before and after each programme power at lactate threshold, mechanical efficiency, VO2max, peak power output (PPO) and work done during a 30‐minute cycle trial (T30) were determined under temperate conditions (22°C, 50% RH). HA reduced resting (−0.34 ± 0.30°C) and exercising (−0.43 ± 0.30°C) rectal temperature, and increased whole‐body sweating (+0.37 ± 0.31 L·hr−1) (all P≤0.001), with no change in CON. Plasma volume increased in HA (10.1 ± 7.2%, P < 0.001) and CON (7.2 ± 6.3%, P = 0.015) with no between‐groups difference, whereas exercise heart rate reduced in both groups, but to a greater extent in HA (−20 ± 11 b·min−1) than CON (−6 ± 4 b·min−1). VO2max, lactate threshold and mechanical efficiency were unaffected by HA. PPO increased in both groups (+14 ± 18W), but this was not related to alterations in any of the performance or thermal variables, and T30 performance was unchanged in either group (HA: Pre = 417 ± 90 vs. Post = 427 ± 83 kJ; CON: Pre = 418 ± 63 vs. Post = 423 ± 56 kJ). In conclusion, 11‐days HA induces thermophysiological adaptations, but does not alter the key determinants of endurance performance. In trained males, the effect of HA on endurance performance in temperate conditions is no greater than that elicited by exertion and duration matched exercise training in cool conditions.
Spatially and temporally resolved H and OH densities in a nanosecond pulsed plasma jet: an analysis of the radical generation, transport, recombination and memory effects
Authors: Yue Yuanfu , Jiang Jingkai , Kondeti V S Santosh K , Bruggeman Peter J 
Published: November 2020

Abstract
Cold atmospheric pressure plasma jets (APPJs) enable the generation of a large flux of highly reactive species to heat sensitive substrates at near ambient temperatures. Nonetheless, the experimental determination of reactive species inside APPJs, while exceedingly important, has not been reported in significant detail. In this work, we report the time-resolved axial density of hydroxyl (OH) and hydrogen radicals (H) in an APPJ device and its effluent operating in a He–H2O mixture using 1D laser induced fluorescence (LIF) and two-photon absorption LIF (TALIF). The results show that H and OH are mainly generated between the electrodes in the APPJ rather than by the guided streamer. The produced H and OH inside the jet are convectively transported to the jet effluent and determine the H and OH densities in jet effluent. The dominant production and destruction mechanisms of H and OH were obtained from a 0D model. The different production mechanisms of H and OH can explain the change in memory effect observed for OH (and not for H) for varying pulse repetition rates of the plasma generation.
Why the anti-nodal quasiparticle dispersion is so flat in the superconducting cuprates?
Authors: Li Tao , Yao Da-Wei 
Published: November 2020

Abstract
The emergence of the coherent quasiparticle peak and the development of the peak-dip-hump structure in the anti-nodal region below T
c is the most prominent non-BCS signature of the under-doped high-T
c cuprates, in which no coherent quasiparticle can be defined in the anti-nodal region above T
c. The peak-dip-hump structure has been commonly interpreted as the result of the coupling of the electron to some Bosonic mode. However, such an electron–Boson coupling picture does not answer the question of why the quasiparticle dispersion is so flat in the anti-nodal region, a behavior totally unexpected for Bogoliubov quasiparticle in a d-wave BCS superconductor. Here we show that the sharp quasiparticle peak in the anti-nodal region should be understood as a new pole in the electron Green’s function generated by the strong coupling of the electron to diffusive spin fluctuation around the antiferromagnetic wave vector Q = (π, π), rather than a nearly free Bogoliubov quasiparticle in a d-wave BCS superconductor. More specifically, we find that the normal self-energy of the electron from the scattering with the diffusive spin fluctuation manifests itself mainly as a level repulsion effect and is responsible for the reduction of both the quasiparticle dispersion and the quasiparticle dissipation rate in the anti-nodal region. We argue that the peak-dip separation in the anti-nodal spectrum should not be interpreted as the energy of the pairing glue.
Solving the spherical
p
-spin model with the cavity method: equivalence with the replica results
Authors: Gradenigo Giacomo , Angelini Maria Chiara , Leuzzi Luca , Ricci-Tersenghi Federico 
Published: November 2020

Abstract
The spherical p-spin is a fundamental model for glassy physics, thanks to its analytical solution achievable via the replica method. Unfortunately, the replica method has some drawbacks: it is very hard to apply to diluted models and the assumptions beyond it are not immediately clear. Both drawbacks can be overcome by the use of the cavity method; however, this needs to be applied with care to spherical models. Here, we show how to write the cavity equations for spherical p-spin models, both in the replica symmetric (RS) ansatz (corresponding to belief propagation) and in the one-step replica-symmetry-breaking (1RSB) ansatz (corresponding to survey propagation). The cavity equations can be solved by a Gaussian RS and multivariate Gaussian 1RSB ansatz for the distribution of the cavity fields. We compute the free energy in both ansatzes and check that the results are identical to the replica computation, predicting a phase transition to a 1RSB phase at low temperatures. The advantages of solving the model with the cavity method are many. The physical meaning of the ansatz for the cavity marginals is very clear. The cavity method works directly with the distribution of local quantities, which allows us to generalize the method to diluted graphs. What we are presenting here is the first step towards the solution of the diluted version of the spherical p-spin model, which is a fundamental model in the theory of random lasers and interesting per se as an easier-to-simulate version of the classical fully connected p-spin model.
Run-and-tumble particles in two dimensions under stochastic resetting conditions
Authors: Santra Ion , Basu Urna , Sabhapandit Sanjib 
Published: November 2020

Abstract
We study the effect of stochastic resetting on a run-and-tumble particle (RTP) in two spatial dimensions. We consider a resetting protocol which affects both the position and orientation of the RTP: the particle undergoes constant-rate positional resetting to a fixed point in space and a random orientation. We compute the radial and x-marginal stationary-state distributions and show that while the former approaches a constant value as r → 0, the latter diverges logarithmically as x → 0. On the other hand, both the marginal distributions decay exponentially with the same exponent when they are far from the origin. We also study the temporal relaxation of the RTP and show that the positional distribution undergoes a dynamic transition to a stationary state. We also study the first-passage properties of the RTP in the presence of resetting and show that the optimization of the resetting rate can minimize the mean first-passage time. We also provide a brief discussion of the stationary states for resetting a particle to an initial position with a fixed orientation.
Research on intelligent heuristic design of industrial product
Authors: Xiong Zhiyong , Liu Yu , Chen Haonan 
Published: November 2020

Abstract
Effective and efficient design resource searching significantly inspires the product modeling design. This paper investigates the open innovation platform and design websites, constructs the retrieval algorithm model of design resources based on generative adversary network (GAN). The performance of retrieval algorithm model is tested by comparative experiments with that of Behance. Results show that the retrieval performance of the proposed model can reach the basically the same effects as Behance in conditional experiments, which shows that the GAN retrieval algorithm can be of high value and great potential for development in actual application. At the same time, results also show that taking the Red Dot award-winning works as the retrieval data can better stimulate the inspiration of designers and provide design reference for designers.
The Impact of Climate Change on Agriculture Sector in ASEAN
Authors: Nunti Chonrada , Somboon Kewalin , Intapan Chanamart 
Published: November 2020

Abstract
This study purposes to estimate climate change effect on agriculture sector in ASEAN by using the copula-based stochastic frontier approach to evaluate the technical efficiency and factors that affect agriculture production. Panel data of land, labour, fertilizer, and temperature in seven countries in ASEAN including Thailand, Vietnam, Myanmar, Philippines, Indonesia, Cambodia, and Malaysia collected from 2002 - 2016 were used for estimating the model. The results presented that the land, labour, and fertilizer consumption according to the agriculture have positive and significant effects on agricultural production. The most interesting point from this study, found that there is a negative effect on agriculture production related by the climate change. Additionally, this study provides the most appropriate tools to analyse climate change impacts on ASEAN agriculture and the potential options for adaptation in the agriculture sector.
Forecasting Chinese Tourism Demand for Thailand: Using Markov Switching Autoregressive Model
Authors: Chernbumroong Sainatee , Nunti Chonrada , Somboon Kewalin 
Published: November 2020

Abstract
This study purposed to forecast the Chinese tourism demand for Thailand. The time series data of Chinese tourists arriving in Thailand were estimated by using MS-AR Model, the consumer price index of Thailand, and the Thai exchange rate (THB/RMP) based on a monthly basis ranged between 2014 and 2019 collected from Ministry of Tourism and Sports, Bank of Thailand, and Ministry of Commerce, respectively. The results showed that the consumer price index of Thailand and the Thai exchange rate had a significant effect on Chinese tourism demand for Thailand. The most crucial point of this study demonstrated that the CPI could stimulate the tourism industry during the low season, so that the government can utilize or put some policies in effect for stimulating the tourism industry by controlling the CPI. In addition, this study provides the most appropriate tools to forecast the demand of Chinese tourism in Thailand and the potential options for adaption in the tourism sector.
Research and Practice of Association Rules Method to Solve the Problem of Allocating Places for Spring Major in Colleges and Universities——Taking Shanghai Jianqiao University as an Example
Authors: Zhang Lei , Zheng Yuqian 
Published: November 2020

Abstract
Aiming at the problem of the allocation of enrollment majors and the allocation of majors of students applying for admission in the spring recruitment of colleges and universities, through the FP-Growth algorithm in data mining, the relationship between the attributes, majors and reports of students applying for in-depth mining will be able to describe a class of students. The attributes and assignments of majors and reports are used as an item set, and its frequent patterns are tapped. Then, according to the set support degree, a set that can reflect the characteristics of students is selected, and a model is built based on this result. At the same time, this paper improves the evaluation criteria of the usual school registration situation. Through the calculation of variance, the overall professional distribution and registration rate are evaluated. Experimental results show that the model has good performance and can reasonably recommend students’ professional assignment.