bluuebunny/crossref_metadata_2025_split huggingface dataset:
A systematic approach to analyse the impact of farm-profiles on bovine health
Authors: Matzhold Caspar , Lasser Jana , Egger-Danner Christa , Fuerst-Waltl Birgit , Wittek Thomas , Kofler Johann , Steininger Franz , Klimek Peter 
Published: October 2021

AbstractIn this study we present systematic framework to analyse the impact of farm profiles as combinations of environmental conditions and management practices on common diseases in dairy cattle. The data used for this secondary data analysis includes observational data from 166 farms with a total of 5828 dairy cows. Each farm is characterised by features from five categories: husbandry, feeding, environmental conditions, housing, and milking systems. We combine dimension reduction with clustering techniques to identify groups of similar farm attributes, which we refer to as farm profiles. A statistical analysis of the farm profiles and their related disease risks is carried out to study the associations between disease risk, farm membership to a specific cluster as well as variables that characterise a given cluster by means of a multivariate regression model. The disease risks of five different farm profiles arise as the result of complex interactions between environmental conditions and farm management practices. We confirm previously documented relationships between diseases, feeding and husbandry. Furthermore, novel associations between housing and milking systems and specific disorders like lameness and ketosis have been discovered. Our approach contributes to paving a way towards a more holistic and data-driven understanding of bovine health and its risk factors.
Conditioned soils reveal plant-selected microbial communities that impact plant drought response
Authors: Monohon Samantha J. , Manter Daniel K. , Vivanco Jorge M. 
Published: October 2021

AbstractRhizobacterial communities can contribute to plant trait expression and performance, including plant tolerance against abiotic stresses such as drought. The conditioning of microbial communities related to disease resistance over generations has been shown to develop suppressive soils which aid in plant defense responses. Here, we applied this concept for the development of drought resistant soils. We hypothesized that soils conditioned under severe drought stress and tomato cultivation over two generations, will allow for plant selection of rhizobacterial communities that provide plants with improved drought resistant traits. Surprisingly, the plants treated with a drought-conditioned microbial inoculant showed significantly decreased plant biomass in two generations of growth. Microbial community composition was significantly different between the inoculated and control soils within each generation (i.e., microbial history effect) and for the inoculated soils between generations (i.e., conditioning effect). These findings indicate a substantial effect of conditioning soils on the abiotic stress response and microbial recruitment of tomato plants undergoing drought stress.
Stereophotogrammetric head shape assessment in neonates is feasible and can identify distinct differences between term-born and very preterm infants at term equivalent age
Authors: Santander Petra , Quast Anja , Hubbert Johanna , Juenemann Laura , Horn Sebastian , Hensel Kai O. , Meyer-Marcotty Philipp , Dieks Jana-Katharina 
Published: October 2021

AbstractThe development of head shape and volume may reflect neurodevelopmental outcome and therefore is of paramount importance in neonatal care. Here, we compare head morphology in 25 very preterm infants with a birth weight of below 1500 g and / or a gestational age (GA) before 32 completed weeks to 25 term infants with a GA of 37–42 weeks at term equivalent age (TEA) and identify possible risk factors for non-synostotic head shape deformities. For three-dimensional head assessments, a portable stereophotogrammetric device was used. The most common and distinct head shape deformity in preterm infants was dolichocephaly. Severity of dolichocephaly correlated with GA and body weight at TEA but not with other factors such as neonatal morbidity, sex or total duration of respiratory support. Head circumference (HC) and cranial volume (CV) were not significantly different between the preterm and term infant group. Digitally measured HC and the CV significantly correlated even in infants with head shape deformities. Our study shows that stereophotogrammetric head assessment is feasible in all preterm and term infants and provides valuable information on volumetry and comprehensive head shape characteristics. In a small sample of preterm infants, body weight at TEA was identified as a specific risk factor for the development of dolichocephaly.
Nanotubes and Nanowires
Authors: Rao C N R , Govindaraj A , Panchakarla Leela Srinivas 
Published: October 2021

Nanotubes (both of carbon and inorganic materials) can be made in a variety of ways, demonstrating a wide range of fascinating properties. Many of these, such as high mechanical strength and interesting electronic properties relate directly to potential applications. Nanowires have been made from a vast array of inorganic materials and provide great scope for further research into their properties and possible applications.
Chapters in this book systematically describe the fundamentals and applications of nanotubes and nanowires, providing a comprehensive and up-to-date survey of the research area, including synthesis, characterisation, properties and applications.
This new edition of Nanotubes and Nanowires includes an extensive list of references and is ideal both for graduates needing an introduction to the field of nanomaterials as well as for professionals and researchers in academia and industry.
Review of Nanotubes and Nanowires 1st Edition:
“This book does a truly admirable job of summarizing the literature in this rapidly changing field.” Journal of the American Chemical Society, 2006, 128, 4163-4164
Review of Nanotubes and Nanowires 2nd Edition:
“Rao and Govindaraj do a superb job of distilling the huge literature on inorganic nanotubes and nanowires.” Chemistry & Industry, 2011, 24, 27
A Cu(111)@metal–organic framework as a tandem catalyst for highly selective CO2 electroreduction to C2H4
Authors: Zhao Zhen-Hua , Zheng Kai , Huang Ning-Yu , Zhu Hao-Lin , Huang Jia-Run , Liao Pei-Qin , Chen Xiao-Ming 
Published: October 2021

Herein, we demonstrated a strategy via integrating a CO-producing Cu-based metal–organic framework and Cu(111) nanoparticles into a new type of tandem catalyst, which achieves a high performance for electroreduction of CO2 to C2H4.
Medication Use Reported by Individuals With Tinnitus Who Are Seeking Internet-Based Psychological Interventions
Authors: Manchaiah Vinaya , Brazelton Alicia , Rodrigo Hansapani , Beukes Eldré W. , Fagelson Marc A. , Andersson Gerhard , Trivedi Meghana V. 
Published: October 2021

Purpose:This study examined medication use by individuals with tinnitus who were seeking help for their tinnitus by means of a psychological intervention.Method:This study used a cross-sectional survey design and included individuals with tinnitus enrolled in an Internet-based cognitive behavioral therapy trial (n= 439). Study participants provided demographic details, completed various structured questionnaires and provided details about the medications used. The self-reported medications were classified using the United States Pharmacopeial Medicare Model Guidelines v7.0.Results:Current medication use was reported by 67% (n= 293) of the study participants. Those currently using medication were older; had consulted their primary care physician, had greater tinnitus severity, depression, anxiety, and insomnia when compared with those not reporting any current medication use. The top 10 medication used included cardiovascular agents (n= 162; 55.3%), antidepressants (n= 80; 27.3%), electrolytes/minerals/metals/vitamins (n= 70; 23.9%), respiratory tract/pulmonary agents (n= 62; 21.2%), anxiolytics (n= 59; 20.1%), hormonal agents/stimulant/replacement/modifying (thyroid;n= 45; 15.4%), gastrointestinal agents (n= 43; 14.7%), analgesics (n= 33; 11.3%), blood glucose regulators (n= 32; 10.9%), and anticonvulsants (n= 26; 8.87%). Some associations between type of medication used and demographic or tinnitus-related variables were noted especially for the cardiovascular agents, electrolytes/minerals/metals/vitamins, and anxiolytics.Conclusions:This exploratory study indicated a large percentage of patients using medication and a range of medications. Further studies are required to assess the effects of such medications on the tinnitus percept and concurrent medication moderate treatment effects.
Collaboration Between Child Play Therapy and Speech-Language Pathology: Case Reports of a Novel Language and Behavior Intervention
Authors: Loeb Diane Frome , Davis Eric S. , Lee Tara 
Published: October 2021

Purpose
It has been well documented that a significant number of children with developmental language disorders (DLDs) also exhibit challenging behaviors. In this study, a new intervention (Play and Language [PAL]) was developed through a research collaboration between a speech-language pathologist and a play therapist. The purpose of this clinical focus article is to describe child play therapy techniques and how these, along with early language intervention techniques, may positively impact preschool children's general communication and behavior.

Method
Students in a communication sciences and disorders program were trained to use a combination of child therapy techniques and language facilitation procedures in the PAL approach. Five preschool children, who displayed DLD and challenging behaviors, participated in a 2-week daily intensive intervention. Pre- and postintervention data for general communication and behavior skills were collected through parent report and language sample data. Student clinician and parent surveys were collected to assess the feasibility of conducting the new intervention and the parent-observed outcomes and satisfaction.

Results
A majority of the children who participated in the study increased their intelligibility and number of different words. Fewer than half increased their sentence length. These same children decreased their challenging behaviors, with 11 of 14 behaviors being reduced to normal levels. All parents reported satisfaction with their child's results. In addition, students trained to provide the intervention reported high levels of satisfaction with the training to implement PAL and that they were confident in providing the intervention techniques.

Conclusion
Together, our exploratory data provide preliminary and limited evidence that combining play therapy and language facilitation techniques may improve general communication skills and decrease challenging behaviors within the same intervention.

Supplemental Material

https://doi.org/10.23641/asha.16840459
Optical beam cooperation‐based secrecy capacity enhancement for visible light communications
Authors: Ding Jupeng , I Chih‐Lin , Wang Jintao 
Published: October 2021

AbstractTo a large extent, the physical layer security (PLS) performance of a visible light communication (VLC) system is affected by light source radiation characteristics. Previous works are limited to well‐known Lambertian beam configurations, which fail to support flexible coordinated coverage. Unlike existing works, this article proposes one secrecy capacity (SC) enhancement scheme based on asymmetric non‐Lambertian optical beam cooperation. Without loss of generality, this article presents a numerical analysis of coordinated and non‐coordinated PLS performance in a typical indoor application scenario. Compared with a non‐coordinated benchmark, the numerical results illustrate that the proposed cooperation‐based scheme could induce about 0.88 bps/Hz average SC gain without a transmission power increase. Therefore, non‐Lambertian beam cooperation could be viewed as one promising secure VLC performance enhancement technology.
Low‐latency transformer model for streaming automatic speech recognition
Authors: Miao Haoran , Cheng Gaofeng , Zhang Pengyuan 
Published: October 2021

AbstractTransformer models have made great progress in automatic speech recognition. However, it is challenging for streaming transformer models to make trade‐off between output latency and recognition accuracy. In this letter, it is aimed to propose a low‐latency transformer model with satisfactory recognition accuracy. First, a streaming transformer is designed and explain how it works streamingly. Second, the authors propose to use CTC during training to minimise the latency of transformer models. Finally, the authors also propose to utilise CTC as a backup during decoding to ensure that the low‐latency characteristic is maintained. The authors fairly compare our streaming transformer model to existing streaming models, particularly the transducer model, which is a popular low‐latency approach. The experiments show that, while having comparable output latency, the transformer model outperforms the transducer model by average relative character (or word) error rate reduction of 22.18%, 26.71% and 19.36% on HKUST, Switchboard and Call Home, respectively.
Super‐resolution with adversarial loss on the feature maps of the generated high‐resolution image
Authors: Imanuel I. , Lee S. 
Published: October 2021

AbstractRecent studies on image super‐resolution make use of Generative Adversarial Networks to generate the high‐resolution image counterpart of the low‐resolution input. However, while being able to generate sharp high‐resolution images, Generative Adversarial Networks based super‐resolution methods often fail to produce good results when tested on images having different degradation as the low‐resolution images used in the training. Some recent works have tried to mitigate this failure by introducing a degradation network that can replicate the noise of real‐world low‐resolution images. However, even these methods can produce poor results if a real‐world test image differs much from the real‐world images in the training data set. This paper proposes the use of adversarial losses on the feature maps extracted by a pre‐trained network with the generated high‐resolution image as input. This is in contrast to all other Generative Adversarial Networks‐based super‐resolution methods that directly apply the adversarial loss to the generated high‐resolution image. The rationale behind this idea is illustrated, and experimental results confirm that high‐resolution images generated by the proposed method achieve better results in both quantitative and qualitative evaluations than methods that directly apply adversarial losses to generated high‐resolution images.
A new financial loss/gain wind power forecasting method based on deep machine learning algorithm by using energy storage system
Authors: Keynia Farshid , Memarzadeh Gholamreza 
Published: October 2021

AbstractNowadays, with the development of the global economy, traditional non‐renewable energy resources can not only meet the increasing energy demand but also bring severe ecological and environmental problems. Wind power, as one of the most economical types of renewable energies source, has become one of the essential resources for clean energy production. Because of the randomness, intermittency, and fluctuation of natural wind, the output power of wind turbines is greatly affected by wind uncertainty. Therefore, wind power generation forecasting and scheduling may be challenging. In this paper, for the successful and accurate presence of wind power producers in the electricity energy market, a method based on forecasting wind power production, the electricity price, and Financial Loss/Gain (FLG) in coordination with energy storage is proposed. To predict the electricity price, wind power production, and FLG for the next 24 h, the hybrid method based on deep learning time series prediction based on the LSTMs method and input selection based on the MRMI method has been used. For this purpose, first, based on historical data, the wind power producer forecasts the electricity price and wind power production for the next 24 h. According to the same predicted values, initial offers are set for participation in the day‐ahead electricity market. After that, wind power producers modify their wind power production based on the FLG prediction method. Since the FLG signal has highly volatile behaviour, therefore it is not efficient to forecast and apply it directly to the proposed wind power production offers. Therefore, classifying FLG by the FCM method and predicting the FLG class labels is much more helpful in improving the proposed bid of wind power producers to the electricity market. Finally, the wind power producer can improve its profit from participating in the electricity market by interacting with the energy storage unit. The presented numerical results demonstrate the efficiency of the proposed method. For example, if the initial offers are modified based on the FLG method, it has caused the expected profit to improve by 4.44–27.69% in the desired months of the year 2018. Also, in three months, the total profit of the wind power producer and energy storage will be higher than if the profit of the wind power producer participates in the day‐ahead market with 100% accuracy.
Umgang mit der Dauermedikation bei Patienten mit Diabetes mellitus
Authors: Rupprecht Bernd , Stöckl Alexander 
Published: October 2021

ZusammenfassungFür die perioperative Phase besteht bei Patienten mit Diabetes mellitus ein erhöhtes Risiko für Komplikationen, z. B. durch Entgleisung des Glukosestoffwechsels, erhöhte Rate kardiovaskulärer Ereignisse, Verschlechterung einer vorbestehenden Niereninsuffizienz und vermehrt auftretende Wundinfektionen. Zudem können Nebenwirkungen der antidiabetischen Therapie auftreten. Ein spezieller Umgang mit der Dauermedikation bei solchen Patienten ist wichtig.
Synthesis of Novel Chiral Phenanthroline Ligands and a Copper Complex
Authors: Yang Xueyan , Zhang Zhipeng , Tang Jingjing , Li Jian 
Published: October 2021

AbstractA novel class of chiral multidentate ligands has been designed and synthesized from the important classic ligand 1,10-phenanthroline and amino acids. The ligands were proven to be able to coordinate with copper(2+) ion by the formation of a novel chiral copper complex, the structure of which was determined by single-crystal X-ray diffraction.
Iron-Catalyzed Synthesis of Pyridines from α,β-Unsaturated Ketoxime Acetates and N-Acetyl Enamides
Authors: Duan Jindian , Xu Gaochen , Yan Huan , Zhang Sai , Wu Qinghuan , Guo Kai 
Published: October 2021

AbstractA new method of FeCl2-catalyzed [4+2] annulation of α,β-unsaturated ketoxime acetates with N-acetyl enamides in batch and flow is reported. The current strategy features low-cost catalytic system, use of electron-rich olefins, operational simplicity, and broad substrate scope, thus providing a facile and efficient access to substituted pyridines in moderate to good yields.
The Preparation and Application of Diaryliodonium Salts Derived from Gemfibrozil and Gemfibrozil Methyl Ester
Authors: Wu Panpan , Chen Chao , Zhou Jun , Bao Zhiyuan 
Published: October 2021

AbstractThe diaryliodonium salts derived from gemfibrozil and gemfibrozil methyl ester were synthesized from ArI(OH)OTs or bis(4-methoxyphenyl)iodonium diacetate with good regioselectivity. These iodonium salts were successfully used in the derivatization of gemfibrozil or gemfibrozil methyl ester, including fluorination, alkynylation, aryl­ation, etherification, esterification, and iodination reactions.
Triflic Anhydride (Tf2O)-Activated Transformations of Amides, Sulfoxides and Phosphorus Oxides via Nucleophilic Trapping
Authors: Kang Jun Yong , Huang Hai 
Published: October 2021

AbstractTrifluoromethanesulfonic anhydride (Tf2O) is utilized as a strong electrophilic activator in a wide range of applications in synthetic organic chemistry, leading to the transient generation of a triflate intermediate. This versatile triflate intermediate undergoes nucleophilic trapping with diverse nucleophiles to yield novel compounds. In this review, we describe the features and applications of triflic anhydride in organic synthesis reported in the past decade, especially in amide, sulfoxide, and phosphorus oxide chemistry through electrophilic activation. A plausible mechanistic pathway for each important reaction is also discussed.1	Introduction2	Amide Chemistry2.1	Carbon Nucleophiles2.2	Hydrogen Nucleophiles2.3	Nitrogen Nucleophiles2.4	Oxygen and Sulfur Nucleophiles2.5	hosphorus Nucleophiles2.6	A Vilsmeier-Type Reagent2.7	Umpolung Reactivity in Amides3	Sulfoxide Chemistry3.1	Oxygen Nucleophiles3.2	Carbon Nucleophiles3.3	Nitrogen Nucleophiles3.4	Thionium Reagents4	Phosphorus Chemistry4.1	Hendrickson’s Reagent4.2	Diaryl Phosphine Oxides4.3	Phosphonates, Phosphates and Phosphinates5	Conclusion and Outlook
Motion Analytics of Trapezius Muscle Activity in an 18-Year-Old Female with Extended Upper Brachial Plexus Birth Palsy
Authors: Lin Jasmine J. , Chan Gromit Y.Y. , Silva Cláudio T. , Nonato Luis G. , Raghavan Preeti , McGrath Aleksandra , Chu Alice 
Published: October 2021

AbstractBackground The trapezius muscle is often utilized as a muscle or nerve donor for repairing shoulder function in those with brachial plexus birth palsy (BPBP). To evaluate the native role of the trapezius in the affected limb, we demonstrate use of the Motion Browser, a novel visual analytics system to assess an adolescent with BPBP.Method An 18-year-old female with extended upper trunk (C5–6–7) BPBP underwent bilateral upper extremity three-dimensional motion analysis with Motion Browser. Surface electromyography (EMG) from eight muscles in each limb which was recorded during six upper extremity movements, distinguishing between upper trapezius (UT) and lower trapezius (LT). The Motion Browser calculated active range of motion (AROM), compiled the EMG data into measures of muscle activity, and displayed the results in charts.Results All movements, excluding shoulder abduction, had similar AROM in affected and unaffected limbs. In the unaffected limb, LT was more active in proximal movements of shoulder abduction, and shoulder external and internal rotations. In the affected limb, LT was more active in distal movements of forearm pronation and supination; UT was more active in shoulder abduction.Conclusion In this female with BPBP, Motion Browser demonstrated that the native LT in the affected limb contributed to distal movements. Her results suggest that sacrificing her trapezius as a muscle or nerve donor may affect her distal functionality. Clinicians should exercise caution when considering nerve transfers in children with BPBP and consider individualized assessment of functionality before pursuing surgery.