bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ambivalence and the working alliance in variants of cognitive‐behavioural therapy for generalised anxiety disorder
Authors: Norouzian Nikoo , Westra Henny A. , Button Melissa L. , Constantino Michael J. , Antony Martin M. 
Published: June 2020

AbstractClient characteristics are widely understood to influence alliance development. However, few studies have examined the role of client ambivalence about therapeutic change. Building on past research demonstrating associations between ambivalence and therapy relationship variables, such as resistance, this study examined whether greater ambivalence was associated with poorer alliance quality. Further, it examined whether motivational interviewing (MI), which involves strategies for managing ambivalence, moderated this relationship. Using data from a randomised controlled trial of cognitive‐behavioural therapy (CBT) for 71 individuals who completed treatment for generalised anxiety disorder, this study tested whether ambivalence, operationalised as observed motivational language against change (counter‐change talk; CCT), in session 1 was related to client‐rated alliance quality over time, and whether this relationship varied between two treatments: MI integrated with CBT (MI‐CBT) or CBT alone. CCT predicted lower client alliance ratings at the early, middle and late stages of therapy. At the late stage, treatment group was a significant moderator, such that CCT was associated with poorer alliances for CBT alone, but not for MI‐CBT. Results suggest that early ambivalence can predict early and middle phase alliance problems in both treatments and that, without explicit strategies for managing ambivalence, early CCT is strongly associated with poorer alliances during the late stage of CBT treatment. This research highlights the importance for clinician responsivity to early motivational markers.
Identification of Infant Victims of Abusive Head Trauma Hospitalised in France from 2015 to 2017
Authors: Paget Louis‐Marie , Gilard‐Pioc Séverine , Cottenet Jonathan , Beltzer Nathalie , Quantin Catherine 
Published: June 2020

To our knowledge, there are no recent national epidemiological studies in France on abusive head trauma (AHT). The objective of this study was to quantify cases of AHT as a result of child abuse admitted to French hospitals, based on the French hospital discharge database (PMSI) from 2015 to 2017. Among infants aged between one and 11 months who were hospitalised for subdural haematoma or traumatic subarachnoid haemorrhage, we distinguished probable cases (stays with International Statistical Classification of Diseases and Related Health Problems, 10th Revision codes suggestive of child abuse or retinal haemorrhage) from possible cases (all other children), in order to make comparisons and estimate hospital incidence rates. We identified 512 probable cases and 703 possible cases. The incidence was 22.1 cases (20.2–24.0) per 100 000 live births for probable cases, and 52.4 cases (49.5–55.4) per 100 000 live births for combined probable and possible cases. The overall median age was four months with a male predominance. Among probable cases, lesions suggestive of abuse were more frequent, and there were fewer skull fractures and accidental falls than in possible cases. This exploratory analysis shows that it is complicated to determine precisely the number of cases of AHT from PMSI data. The implementation of a specific code for AHT in this database would identify these cases more accurately.Key Practitioner Messages

Among probable cases, lesions suggestive of abuse were more frequent, and there were fewer skull fractures and accidental falls than among the possible cases.
Implementation of a specific code for AHT in hospital discharge databases would identify these cases more accurately.
Kinetic relationship in parallel autocatalytic amplifications of pyridyl alkanol and chiral trigger pyrimidyl alkanol
Authors: Romagnoli Carlo , Sieng Bora , Amedjkouh Mohamed 
Published: June 2020

AbstractExperimental and kinetic analysis of a chemical system combines autocatalytic amplification of 2‐alkynyl‐5‐pyrimidyl alkanol 2 and 6‐alkynyl‐3‐pyridyl akanol 4 in which 2 acts as a chiral trigger and 4 being the subsequent autocatalyst. Starting from a very low initial ee, both alkanols are produced with high enantiopurity in one single cycle. This provides insight into a dual nonlinear amplification of chirality observed with amplifying trigger 2 and accelerated amplification of autocatalyst 4. These kinetic studies reveal a five‐fold magnitude superior amplification rates of 4 associated with trigger's enantiopurity at the outset.
Input–output connections of LJA5 prodynorphin neurons
Authors: Agostinelli Lindsay J. , Mix Madison R. , Hefti Marco M. , Scammell Thomas E. , Bassuk Alexander G. 
Published: June 2020

AbstractSensory information is transmitted from peripheral nerves, through the spinal cord, and up to the brain. Sensory information may be modulated by projections from the brain to the spinal cord, but the neural substrates for top‐down sensory control are incompletely understood. We identified a novel population of inhibitory neurons in the mouse brainstem, distinguished by their expression of prodynorphin, which we named LJA5. Here, we identify a similar group of Pdyn+ neurons in the human brainstem, and we define the efferent and afferent projection patterns of LJA5 neurons in mouse. Using specific genetic tools, we selectively traced the projections of the Pdyn‐expressing LJA5 neurons through the brain and spinal cord. Terminal fields were densest in the lateral and ventrolateral periaqueductal gray (PAG), lateral parabrachial nucleus (LPB), caudal pressor area, and lamina I of the spinal trigeminal nucleus and all levels of the spinal cord. We then labeled cell types in the PAG, LPB, medulla, and spinal cord to better define the specific targets of LJA5 boutons. LJA5 neurons send the only known inhibitory descending projection specifically to lamina I of the spinal cord, which transmits afferent pain, temperature, and itch information up to the brain. Using retrograde tracing, we found LJA5 neurons receive inputs from sensory and stress areas such as somatosensory/insular cortex, preoptic area, paraventricular nucleus, dorsomedial nucleus and lateral hypothalamus, PAG, and LPB. This pattern of inputs and outputs suggest LJA5 neurons are uniquely positioned to be activated by sensation and stress, and in turn, inhibit pain and itch.
From bits to bites: Advancement of the Germinate platform to support prebreeding informatics for crop wild relatives
Authors: Raubach Sebastian , Kilian Benjamin , Dreher Kate , Amri Ahmed , Bassi Filippo M. , Boukar Ousmane , Cook Douglas , Cruickshank Alan , Fatokun Christian , El Haddad Noureddine , Humphries Alan , Jordan David , Kehel Zakaria , Kumar Shiv , Labarosa Sandy Jan , Nguyen Loi Huu , Mace Emma , McCouch Susan , McNally Ken , Marshall David F. , Mikwa Erick Owuor , Milne Iain , Odeny Damaris Achieng , Plazas Mariola , Prohens Jaime , Rieseberg Loren H. , Schafleitner Roland , Sharma Shivali , Stephen Gordon , Tin Huynh Quang , Togola Abou , Warschefsky Emily , Werner Peter ,   All our CWR Pre‐Breeding Partners and Collaborators, Shaw Paul D. 
Published: June 2020

AbstractManagement and distribution of experimental data from prebreeding projects is important to ensure uptake of germplasm into breeding and research programs. Being able to access and share this data in standard formats is essential. The adoption of a common informatics platform for crops that may have limited resources brings economies of scale, allowing common informatics components to be used across multiple species. The close integration of such a platform with commonly used breeding software, visualization, and analysis tools reduces the barrier for entry to researchers and provides a common framework to facilitate collaborations and data sharing. This work presents significant updates to the Germinate platform and highlights its value in distributing prebreeding data for 14 crops as part of the project ‘Adapting Agriculture to Climate Change: Collecting, Protecting and Preparing Crop Wild Relatives’ (hereafter Crop Trust Crop Wild Relatives project) led by the Crop Trust (https://www.cwrdiversity.org). The addition of data on these species compliments data already publicly available in Germinate. We present a suite of updated Germinate features using examples from these crop species and their wild relatives. The use of Germinate within the Crop Trust Crop Wild Relatives project demonstrates the usefulness of the system and the benefits a shared informatics platform provides. These data resources provide a foundation on which breeding and research communities can develop additional online resources for their crops, harness new data as it becomes available, and benefit collectively from future developments of the Germinate platform.
Environmental management system according toISO14001:2015 as a driver to sustainable development
Authors: Bravi Laura , Santos Gilberto , Pagano Alessandro , Murmura Federica 
Published: June 2020

AbstractThe Environmental Management System (EMS) became a critical success factor in order to compete on the market. The aim of this study is to investigate how companies that have implemented an EMS based on the ISO 14001:2015 certification have perceived the changes due to the revision of the standard. The research was conducted through the administration of a questionnaire to 1,508 Italian ISO 14001 certified companies. Two hundred and eighty‐four companies constituting the sample of our study. As main benefits achieved by surveyed companies we highlight, risk prevention, better management of environmental activities, and creation of new targets for reducing energy and waste. As main barriers to ISO 14001 implementation we highlight, increased bureaucracy, increased complexity of environmental procedures and difficulty in increasing employee environmental awareness. The main contribution of this research is given by the analysis on how companies have dealt with the changes required by the new version of the standard.
A Cancer Biologist's Primer on Machine Learning Applications in High‐Dimensional Cytometry
Authors: Keyes Timothy J. , Domizi Pablo , Lo Yu‐Chen , Nolan Garry P. , Davis Kara L. 
Published: June 2020

AbstractThe application of machine learning and artificial intelligence to high‐dimensional cytometry data sets has increasingly become a staple of bioinformatic data analysis over the past decade. This is especially true in the field of cancer biology, where protocols for collecting multiparameter single‐cell data in a high‐throughput fashion are rapidly developed. As the use of machine learning methodology in cytometry becomes increasingly common, there is a need for cancer biologists to understand the basic theory and applications of a variety of algorithmic tools for analyzing and interpreting cytometry data. We introduce the reader to several keystone machine learning‐based analytic approaches with an emphasis on defining key terms and introducing a conceptual framework for making translational or clinically relevant discoveries. The target audience consists of cancer cell biologists and physician‐scientists interested in applying these tools to their own data, but who may have limited training in bioinformatics. © 2020 International Society for Advancement of Cytometry
Efficient and low‐cost defense against distributed denial‐of‐service attacks in SDN‐based networks
Authors: Wang You‐Chiun , Wang Yi‐Chuan 
Published: June 2020

SummaryDistributed are common threats in many networks, where attackers attempt to make victim servers unavailable to other users by flooding them with worthless requests. These attacks cannot be easily stopped by firewalls, since they forge lots of connections to victims with various IP addresses. The paper aims to exploit the software‐defined networking (SDN) technique to defend against DDoS attacks. However, the controller has to handle lots of connections launched by DDoS attacks, which burdens it with a heavy load and degrades SDN's performance. Therefore, the paper proposes an efficient and low‐cost DDoS defense (ELD) mechanism for SDN. It adopts a nested reverse‐exponential data storage scheme to help the controller efficiently record the information of packets in the limited memory. Once there are many packets with high IP variability sent to a certain server and this situation lasts for a while, then a DDoS attack is likely happening. In this case, the controller asks switches to block malicious connections by installing flow rules. Experimental results verify that the ELD mechanism rapidly recognizes protocol‐based DDoS attacks and stops them in time, including TCP SYN flood, UDP flood, and ICMP flood, and also greatly reduces the overhead for the controller to defend against attacks. Moreover, ELD can distinguish DDoS flows from legitimate ones with similar features such as elephant flows and impulse flows, thereby eliminating false alarms.
Software‐defined networking to improve handover in mobile edge networks
Authors: Ahmadi Kaveh , Miralavy S. Pourya , Ghassemian Mona 
Published: June 2020

SummaryMobility management and handover for a seamless connection are among all‐time challenges of wireless networks. Software‐defined networking (SDN) has opened new horizons toward research by adding intelligence in edge networks while decoupling the control and data planes. The flexibility and centralized nature of SDN further improve the handover decision algorithms. In this paper, we have improved the network performance with respect to the number of handovers and the handover delay by applying an LTE‐SDN architecture and a novel handover decision algorithm based on predicting the future locations of a moving vehicle. The proposed algorithm decouples the handover procedure into two phases of preparation and execution. In the preparation phase, which occurs in the control plane, the handover decision and resource allocation take place, and in the execution phase, handover gets executed similar to the LTE architecture. The results of our research indicate that our proposed LTE‐SDN performance is improved with respect to the number of handovers, handover delay, and signaling overhead by 24%, 16%, and 20%, respectively. On the other hand, average Reference Signal Received Quality (RSRQ) value is decreased by 4% as a tradeoff for the improvements gained.
Application of SPME‐GC‐TOFMS, E‐nose, and sensory evaluation to investigate the flavor characteristics of Chinese Yunnan coffee at three different conditions (beans, ground powder, and brewed coffee)
Authors: Cui Dan Dan , Liu Yuan , Chen Yan Ping , Feng Xi , Lu Yu , Yu Bo 
Published: June 2020

AbstractSPME‐GC‐TOFMS, E‐nose, and sensory evaluation were used to explore the volatile organic compounds (VOCs) in four Chinese Yunnan coffee at three conditions (beans, ground powder, and brewed coffee). VOCs were detected by GC‐TOFMS and compared the difference between all samples, depending on the VOCs in the coffee sample. The E‐nose was used for rapid detection to differentiate the sample. The two results are analyzed by principal component analysis (PCA). Quantitative description analysis (QDA) was used to evaluate the flavor profiles of coffee samples. The results shown that GC‐TOFMS detected 412, 498, and 294 VOCs in roasted, ground powder, and brewed coffee, respectively. The PCA of SPME‐GC‐TOFMS results shown that Nankang coffee was mainly related to ketone compounds; the aroma of Hongguang coffee was determined by dimethyl disulfide and acetic acid; pyrazine and ketone compounds were important to Hainan coffee; ketone and ester compounds were dominated in Xinghuan coffee. The results of E‐nose shown that the first two principal components (PCs) accounted for 97.3%, 92.5%, and 93.8% of variances in roasted, ground powder, and brewed coffee, respectively. The different brands of coffee samples at the same condition shown separated locations on the PCA results of E‐nose. Sensory evaluation shown the special flavor of coffee samples, Nankang coffee with a bake flavor, Hongguang coffee had chocolate and nutty flavors, Hainan coffee had the caramel‐like aroma, and the aroma Xinghuan coffee was sweet. This study could provide a better understanding of Chinese coffee produced in Yunnan province.
Evaluation of antioxidant and anticancer activities of naphthoquinones‐enriched ethanol extracts from the roots of Onosma hookeri Clarke. var. longiforum Duthie
Authors: Wu Qiang , Er‐bu Aga , Liang Xiaoxia , Luan Shangxian , Wang Yue , Yin Zhongqiong , He Changliang , Yin Lizi , Zou Yuanfeng , Li Lixia , Song Xu 
Published: June 2020

AbstractIn this study, the optimal naphthoquinones‐enriched ethanol extract from the roots of Onosma hookeri Clarke. var. longiforum Duthie (OHC‐LD) was obtained under an optimal condition (69% ethanol, material to solution ratio of 27:1 at 60℃ for 59 min) by the ultrasound‐assisted extraction, according to four‐variable three‐level Box–Behnken design‐response surface methodology. The experimental yield of ethanol extract was 42.08 ± 0.65%, and the contents of naphthoquinones reached to 1.07 ± 0.004%. The optimal extract exhibited similar scavenging activity against ABTS (2,2'‐azino‐bis‐3‐ethylbenzthiazoline‐6‐sulfonic acid) radical as BHT(butylated hydroxytoluene) at 1,250 µg/ml, and better DPPH (2,2‐diphenyl‐1‐picrylhydrazyl) scavenging activity than BHT at 250 µg/ml. However, the optimal ethanol extract was not sensitive to MCF‐7 cell line ( IC50 of 321.849 µg/ml). The results revealed the naphthoquinones‐enriched ethanol extract from the roots of OHC‐LD had could be used as a potential natural antioxidant.
Effects of a ready‐to‐eat cereal formula powder on glucose metabolism, inflammation, and gut microbiota in diabetic db/db mice
Authors: Li Caina , Wang Xing , Sun Sujuan , Liu Shuainan , Huan Yi , Li Rongcui , Liu Quan , Cao Hui , Zhou Tian , Lei Lei , Liu Minzhi , Shen Zhufang 
Published: June 2020

AbstractThe cereal formula powder, Zhengda Jingshan (ZDJS), comprises dietary fiber, multivitamins, fine protein, and various cereal ingredients. The present study evaluated the effects of ZDJS on glucose metabolism and explored the corresponding mechanisms in terms of modulating gut microbiota and the fecal metabolome. Type 2 diabetic db/db mice were given ZDJS (1 g/kg) orally twice daily for 55 days, after which glucose metabolism, inflammation, gut microbiota, and fecal metabolomics were assayed. Repeated administration of ZDJS was associated with a trend toward decreasing fasting blood glucose and a 0.12% decrease in hemoglobin A1c (HbA1c), as well as statistically significant increases in the insulin sensitivity index and decreases in serum levels of tumor necrosis factor (TNF‐α) and ileum expression of mucin‐2. ZDJS also ameliorated the compensatory enlargement of islets and decreased the ratio of the α‐cell area to total islet area; however, this amelioration of impaired oral glucose tolerance became less pronounced as treatment continued. In addition, ZDJS remarkably decreased the abundance of phylum Proteobacteria and the phylum ratio of Firmicutes to Bacteroidetes, as well as altered the fecal metabolic profile. Taken together, our findings demonstrate that ZDJS improved glucose metabolism and reduced inflammation in type 2 diabetic db/db mice, which may be associated with a reshaping of the gut microbiome and fecal metabolome in db/db mice. Thus, our study suggests that ZDJS may represent a complementary therapy for patients with type 2 diabetes.
Clinical Features of Patients Infected With Coronavirus Disease 2019 With Elevated Liver Biochemistries: A Multicenter, Retrospective Study
Authors: Fu Yu , Zhu Rui , Bai Tao , Han Ping , He Qin , Jing Mengjia , Xiong Xiaofeng , Zhao Xi , Quan Runze , Chen Chaoyue , Zhang Ying , Tao Meihui , Yi Jianhua , Tian Dean , Yan Wei 
Published: June 2020

Background and Aims
In December 2019, an outbreak of coronavirus disease 2019 (COVID‐19) emerged in Wuhan, China. Although it has been reported that some patients with COVID‐19 showed elevated liver biochemistries, there are few studies regarding the clinical features and prognosis of these patients.

Approach and Results
In this multicenter, retrospective study, we collected data on laboratory‐confirmed patients with COVID‐19 from three hospitals in Wuhan, China, who died or were discharged between February 1, 2020, and February 20, 2020. Data on demographics, comorbidities, clinical symptoms, laboratory examinations on admission, complications, treatment, and outcome were collected. A total of 482 patients were enrolled in this study. Of those, 142 (29.5%) patients showed abnormal liver biochemistries on admission, and patients with elevated alanine aminotransferase, aspartate aminotransferase (AST), and total bilirubin (TBIL) accounted for 67.6%, 69.0%, and 16.2%, respectively. Those with abnormal liver biochemistries showed higher percentages of severe cases and comorbidities and were more likely to have dyspnea, chest distress or pain, and increased hemoglobin (Hb) on admission. Higher rates of complications and mortality and worse recovery when discharged were observed in patients with abnormal AST or TBIL. Multivariable regression analysis showed that chest distress or pain (odds ratio [OR], 1.765; P = 0.018), dyspnea (OR, 2.495; P = 0.001), elevated C‐reactive protein level (OR, 1.007; P = 0.008), elevated white blood count (OR, 1.139; P = 0.013), and elevated Hb concentration (OR, 1.024; P = 0.001) were independent factors associated with elevated liver biochemistries in patients with COVID‐19.

Conclusions
Elevated liver biochemistries were common in patients with COVID‐19. Patients with hypoxia or severe inflammation are more likely to experience increased liver biochemistries on admission. Those with abnormal AST or TBIL on admission are more likely to suffer from severe complications and death.
Early serum TARC reduction predicts prognosis in advanced‐stage Hodgkin lymphoma patients treated with a PET‐adapted strategy
Authors: Viviani Simonetta , Mazzocchi Arabella , Pavoni Chiara , Taverna Francesca , Rossi Andrea , Patti Caterina , Romano Alessandra , Trentin Livio , Sorasio Roberto , Guidetti Anna , Gottardi Daniela , Tarella Corrado , Cimminiello Michele , Zanotti Roberta , Farina Lucia , Ferreri Andrés José Maria , Galbiati Marina , Corradini Paolo , Gianni Alessandro Massimo , Gallamini Andrea , Rambaldi Alessandro 
Published: June 2020

AbstractAmong patients with advanced‐stage classical Hodgkin lymphoma (cHL) receiving ABVD chemotherapy, PET performed after the first two treatment cycles (PET‐2) has prognostic value. However, 15% of patients with a negative PET‐2 will experience treatment failure. Here we prospectively evaluated serum thymus and activation‐regulated chemokine (TARC) levels, to improve risk assessment in patients treated according to HD0607 PET‐driven trial (#NCT00795613). In 266 patients with available serum samples, who have agreed to participate in a sub‐study for assessment of the role of TARC monitoring, serum TARC levels were measured at baseline and at time of PET‐2 by commercially available ELISA test kits. The primary end‐point was to evaluate the association between TARC after 2 ABVD cycles and PFS. Median TARC‐2 values were significantly higher in PET‐2‐positive patients compared to PET‐2‐negative patients (P = .001), and in patients with treatment failure compared to those in continuous CR (P = .01). The 4‐year PFS significantly differed between patients with TARC‐2 >800 pg/mL vs ≤800 pg/mL (64% vs 86%, P = .0001). Moreover, among PET‐2‐negative patients, elevated TARC‐2 identified those with a worse prognosis (74% vs 89%; P = .01). In multivariable analysis, TARC‐2 >800 pg/mL was a significant independent predictor of PFS in the whole study population (HR 2.39, P = .004) and among the PET‐2‐negative patients (HR 2.49, P = .02). In conclusion, our results indicate that TARC‐2 serum levels above 800 pg/mL suggest the need for a stringent follow‐up in PET‐2‐negative patients, and the evaluation of new drugs in PET‐2‐positive, who will likely fail to respond to intensification with escalated BEACOPP.