bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing the Efficiency of Confrontation Naming Assessment for Aphasia Using Computer Adaptive Testing
Authors: Fergadiotis Gerasimos , Hula William D. , Swiderski Alexander M. , Lei Chia-Ming , Kellough Stacey 
Published: June 2019

Purpose

In this study, we investigated the agreement between the 175-item Philadelphia Naming Test (PNT;
Roach, Schwartz, Martin, Grewal, & Brecher, 1996
) and a 30-item computer adaptive PNT (PNT-CAT;
Fergadiotis, Kellough, & Hula, 2015
;
Hula, Kellough, & Fergadiotis, 2015
) created using item response theory (IRT) methods.

Method
The full PNT and the PNT-CAT were administered to 47 participants with aphasia in counterbalanced order. Latent trait-naming ability estimates for the 2 PNT versions were analyzed in a Bayesian framework, and the agreement between them was evaluated using correlation and measures of constant, variable, and total error. We also evaluated the extent to which individual pairwise differences were credibly greater than 0 and whether the IRT measurement model provided an adequate indication of the precision of individual score estimates.

Results

The agreement between the PNT and the PNT-CAT was strong, as indicated by high correlation (
r
= .95, 95% CI [.92, .97]), negligible bias, and low variable and total error. The number of statistically robust pairwise score differences did not credibly exceed the Type I error rate, and the precision of individual score estimates was reasonably well predicted by the IRT model.

Discussion
The strong agreement between the full PNT and the PNT-CAT suggests that the latter is a suitable measurement of anomia in group studies. The relatively robust estimates of score precision also suggest that the PNT-CAT can be useful for the clinical assessment of anomia in individual cases. Finally, the IRT methods used to construct the PNT-CAT provide a framework for additional development to further reduce measurement error.

Supplemental Material

https://doi.org/10.23641/asha.8202176
Patientenratgeber bei Depression: Wie evidenzbasiert sind sie?
Authors: Blunschi Corina Carmen , Watzke Birgit 
Published: June 2019

Zusammenfassung
Einleitung Ratgeberbücher für Menschen mit Depressionen und deren Angehörige sind weitverbreitete und niedrigschwellige Informationsquellen, die im Sinne des Empowerments dazu beitragen können, dass Depressionen früher erkannt und fachgerecht behandelt werden. Eine Überprüfung ihrer Qualität, insbesondere ihrer Evidenzbasierung, steht noch aus. Vor diesem Hintergrund wurden die Inhalte von Depressionsratgebern untersucht, indem sie systematisch mit Inhalten und Empfehlungen der S3-/NV-Leitlinie für Unipolare Depression verglichen wurden.
Methoden Basierend auf einer systematischen Recherche in Datenbanken des Buchhandels wurden die 30 am meisten verbreiteten deutschsprachigen Ratgeber analysiert. Hierfür wurde ein Ratinginstrument (RLP-D) mit 54 Diagnostik- und Behandlungsitems aus der aktuellen S3/NV Leitlinie abgeleitet. Mittels RLP-D führte eine Raterin bei den Ratgebern sowohl Ausführlichkeits- als auch Korrektheitsratings durch.
Ergebnisse Zwischen 7,4 und 81,5% der Items, d. h. der Leitlinieninhalte, fehlen in den analysierten Ratgebern (Mdn=25,9%, IQR=22,7%). Im Mittel wird ca. ein Drittel der Items ausführlich und ohne Widersprüche zur Leitlinie beschrieben (Mdn=36,1%, IQR=17,1%, Range: 1,9–64,8%). Bei im Mittel ca. einem Fünftel (Mdn=20,4%; IQR=19,0%, Range: 2,9–47,6%) der beschriebenen Items zeigen sich klinisch relevante Abweichungen von der Leitlinie. Informationen zur Psychotherapie und Pharmakotherapie als Behandlungsmöglichkeit sind die am häufigsten ausführlich und korrekt abgedeckten Inhalte, sie werden jeweils in mehr als 83% der Ratgeber ausführlich und korrekt angegeben.
Diskussion Es zeigt sich eine beträchtliche Variabilität sowohl in der Ausführlichkeit als auch der Korrektheit diagnostischer und therapeutischer Inhalte zwischen den Ratgebern; dies gilt auch und insbesondere für die besonders kritisch anzusehenden fehlerhaften Inhalte von Ratgebern. Die weiterführende Überprüfung des Ratinginstrumentes RLP-D stellt einen wichtigen nächsten Arbeitsschritt dar. Eine Anwendung und Reduktion auf die Core-Inhalte der Leitlinie könnte das aktuell recht aufwändige Ratingverfahren der Qualitätsbewertung vereinfachen.
Schlussfolgerung Obwohl einige Basisinformationen in fast allen Ratgebern gegeben werden, können Depressionsratgeber aufgrund der grossen Qualitätsunterschiede nicht per se empfohlen werden. Systematische Qualitätsbewertungen sollten etabliert werden, um eine fundierte Auswahl von Ratgebern zu ermöglichen, eine Basis sowie einen Anreiz für deren Weiterentwicklung zu geben und hierüber die Information und Aufklärung von Patienten zu verbessern.
Treatment of venous thoracic inlet syndrome – Specialties in athletes
Authors: Weiske Nadine , Baumbach H. , Bürger T. 
Published: June 2019

AbstractThoracic inlet syndrome (TIS), also known as Paget-Schroetter syndrome, is a relatively rare form of thoracic outlet syndrome. It is considered to be a consequence of compression and repetitive injury of the subclavian vein between the first ribs and the overlying clavicle, the scalenus anterior muscle, subclavius muscle and costoclavicular ligament. While relatively uncommon, this condition is probably the most frequently encountered vascular disorder in the young, healthy, competitive athlete. Although the treatment options to be considered for TIS are similar for all patients, competitive athletes often present special circumstances that need to be taken into account in the decision-making process. With early recognition, proper treatment with early thrombolysis, anticoagulation, surgical decompression and rehabilitation, most athletes can return to previous levels of performance within several months. There were 184 patients treated due to compression syndrome of the upper thoracic outlet between 2013–2016. We will report on the therapy and disease management of 5 professional athletes with TIS. In addition to the report, we are presenting the results of a relevant literature search.
Wie häufig betreffen Gegenanzeigen und Warnhinweise in deutschen Fachinformationen pädiatrische Patienten
Authors: Wimmer Stefan , Rascher Wolfgang , Neubert Antje 
Published: June 2019

Zusammenfassung
Hintergrund Ambulanten Patienten unter 18 Jahren werden 3,2–3,8% der Arzneimittel nur aufgrund des Alters off-label verordnet. Das Problem nimmt mit niedrigerem Alter zu, sodass bei Neugeborenen lediglich für ein Fünftel der am häufigsten verordneten Wirkstoffe eine Zulassung vorliegt. Ziel dieser Arbeit war es alle deutschen Fachinformationen auf spezifische Gegenanzeigen und Warnhinweise zu pädiatrischen Altersgruppen zu untersuchen.
Methodik Alle verfügbaren Fachinformationen wurden aufbereitet, die Abschnitte Gegenanzeigen sowie Besondere Warnhinweise und Vorsichtsmaßnahmen nach pädiatrischen Altersangaben durchsucht und nach Altersgruppen, ATC-Gruppen und Applikationsweg ausgewertet.
Ergebnisse Es wurden 13 547 Fachinformationen (22 863 Präparate) erfasst. Für 3603 (15,8%) Präparate lag eine explizite Gegenanzeige für eine pädiatrische Altersgruppe vor, für 9687 (42,4%) eine Gegenanzeige oder ein Warnhinweis. Bei 2833 Präparaten (12,4%) lag für alle Patienten unter 18 Jahren eine Gegenanzeige oder ein Warnhinweis vor. Frühgeborene waren besonders stark betroffen (9581 Präparate, 41,9%). Insbesondere waren Kontrastmittel (89,0%), Husten- und Erkältungspräparate (86,2%) sowie Corticosteroide (topisch 88,2%, systemisch 86,6%) betroffen. Der Anteil lag mit 58,2% bei Tropfen und Säften überdurchschnittlich hoch.
Diskussion Es ist davon auszugehen, dass bei den meisten Präparaten kaum echte Kontraindikationen aufgrund altersspezifischer Pharmakodynamik oder -kinetik vorliegen, sondern entsprechende Daten oder geeignete Arzneiformen fehlen. Die EU-Kinderarzneimittelverordnung konnte für nicht mehr patentgeschützte Arzneimittel keine ausreichenden Anreize zur Durchführung entsprechender Studien schaffen.
Vladimir Bechterev – ein Protagonist der Hypnoseforschung?
Authors: Engmann Birk , Steinberg Holger 
Published: June 2019

ZusammenfassungVladimir Michajlovič Bechterev (1857–1927) gilt als der bekannteste und berühmteste russische Neurologe und Psychiater. Wenngleich sein Name im deutschsprachigen Raum vor allem mit der nach ihm benannten orthopädischen Erkrankung, dem Morbus Bechterew, verbunden ist, lag sein Forschungsschwerpunkt vor allem auf neuroanatomischem, physiologischem und psychiatrischem Gebiet. Letzteres spielt in der Wahrnehmung der Leistungen Bechterevs bislang eine untergeordnete Rolle. Er selbst sah sich in einer späten autobiografischen Schrift als Protagonist der russischen Hypnoseforschung und -therapie. Deshalb stellt dieser Artikel wichtige Arbeiten zur Hypnose vor und legt dar, wie seine diesbezüglichen Überlegungen in sein Spätwerk – die Reflexologie – einflossen.
Erstellung einer deutschen Version des „Nasal Obstruction
Symptom Evaluation“ Fragebogens (NOSE©)
Authors: Lindemann Jörg , Scheithauer Marc , Hoffmann Thomas Karl , Stupp Franziska , Grossi Anna-Sophia , Sommer Fabian , Netzer Saskia 
Published: June 2019

Zusammenfassung
Hintergrund Der englischsprachige NOSE© Fragebogen findet Anwendung in der
Erhebung subjektiver Beschwerden von Nasenatmungsbehinderungen. Es war das Ziel
der Studie eine validierte deutsche Version des NOSE© Fragebogens zu
erstellen.
Material und Methoden Der Originalfragebogen wurde in mehreren Schritten
in eine deutsche Version übersetzt. Die englische Rückübersetzung stimmte
ausreichend mit dem Originalfragebogen überein. Anschließend wurde der
übersetzte Fragebogen von einer Gruppe von Patienten mit Nasenatmungsbeschwerden
(n = 76) und einer Gruppe von nasengesunden Probanden (n = 104) jeweils zwei Mal
ausgefüllt. Anschließend wurde der Fragebogen auf seine interne Konsistenz,
Test-Retest Reliabilität, Konstruktvalidität, diskriminative Validität und
Änderungssensitivität geprüft. Zudem wurde geprüft inwiefern die Werte der
Rhinomanometrie der Patientengruppe mit den Ergebnissen ihres Fragebogens
korrelierten.
Ergebnisse Der erstellte deutsche NOSE Fragebogen hatte eine hohe interne
Konsistenz mit einem durchschnittlichen Ergebnis von Cronbach’s α ≥ 0,8. Ebenso
war die Test-Retest Reliabilität sehr zufriedenstellend mit Goodman-Kruskal-γ =
0,826. Die diskriminative Validität konnte einen signifikanten Unterschied
zwischen Fall- und Kontrollgruppe aufzeigen. Zudem war die Änderungssensitivität
hoch. Die Werte der Rhinomanometrie der Patienten vor der Operation korrelierten
nicht mit den entsprechenden Scores des NOSE Fragebogens.
Schlussfolgerungen Es konnte gezeigt werden, dass die erstellte deutsche
Version des NOSE© Fragebogens (NOSE GAV) eine valide Methode zur Erfassung einer
subjektiven Nasenatmungsbehinderung bei Patienten ist und uneingeschränkt im
deutschen Sprachraum Anwendung finden kann.
Complexity of Clinical Decision Making: Consent, Capacity, and Ethics
Authors: Askren Annette , Leslie Paula 
Published: June 2019

AbstractSpeech–language pathologists (SLPs), and really their patients, are often faced with challenging clinical decisions to be made. Patients may decline interventions recommended by the SLP and are often inappropriately labeled “noncompliant.” The inappropriateness of this label extends beyond the negative charge; the patient's right to refuse is, in fact, protected by law. Anecdotal exchanges, social media platforms, and American Speech-Language-Hearing Association forums have recently revealed that many SLPs are struggling with the patient's right to decline. Many are not comfortable with the informed consent process and what entails patients' capacity to make their own medical decisions. Here, we discuss the basics of clinical decision-making ethics with intent to minimize the clinician's discomfort with the right to refuse those thickened liquids and eliminate the practice of defensive medicine.
Clinical Decision Making in the ICU: Dysphagia Screening, Assessment, and Treatment
Authors: Brodsky Martin B. , Mayfield Emily B. , Gross Roxann Diez 
Published: June 2019

AbstractClinicians often perceive the intensive care unit as among the most intimidating environments in patient care. With the proper training, acquisition of skill, and approach to clinical care, feelings of intimidation may be overcome with the great rewards this level of care has to offer. This review—spanning the ages of birth to senescence and covering oral/nasal endotracheal intubation and tracheostomy—presents a clinically relevant, directly applicable review of screening, assessment, and treatment of dysphagia in the patients who are critically ill for clinical speech–language pathologists and identifies gaps in the clinical peer-reviewed literature for researchers.
Visual working memory load constrains language non-selective activation under task-demands
Authors: Prasad Seema , Viswambharan Shiji , Mishra Ramesh 
Published: June 2019

Abstract
Visual world studies with bilinguals have demonstrated spontaneous cross-linguistic activations. In two experiments, we examined whether concurrent visual working memory (VWM) load constrains bilingual parallel activation during spoken word comprehension. Hindi-English bilinguals heard a spoken word in Hindi (L1) or English (L2) and saw a display containing the spoken word-referent, a phonological cohort of the spoken word’s translation and two unrelated objects. Participants completed a concurrent WM task of remembering an array of five coloured squares and judging its similarity with a test array. Participants were asked to click on the spoken word-referent in Experiment 1 but not in Experiment 2. Reduced parallel activation and enhanced target activation was observed under the load for L2 spoken words in Experiment 1 (where the task-demands were high). The findings suggest that a VWM load can constrain the spontaneous activation of an irrelevant lexicon, under certain conditions.
Involve Convolutional-NN to Generate Item Latent Factor Consider Product Genre to Increase Robustness in Product Sparse Data for E-commerce Recommendation
Authors: Hanafi  , Suryana N , Basari A S H 
Published: June 2019

Abstract
Online shopping also popular named e-commerce business need a computer machine to provide product information for customer or buyer candidate. Relevant information served by ecommerce system engine famous dubbed recommender system. It will impact seriously in increasing of marketing target achievement. The character of information in ecommerce have to be specific, personalized, relevant and fit according to customer profiling. There are four kind of recommender system to provide ecommerce recommender system, however only one model that most successful to applied in real ecommerce industry that namely collaborative filtering. These approaches rely on rating as basic calculation to generate product recommendation. However, just a little number of rating that given by customer reference to several convince datasets. The problem causes of sparse product rating, it will bring the impact to product recommendation accuracy. Sometime, in extreme condition impossible to generate product recommendation. Some work efforts have been developing to tackle lack of rating, one of them is considering to involving text sentences document such as text genre, product review, abstract, product description, synopsis, etc. All of material text sentences useful as raw component to predict the product rating. Reference previous work method aims extract text sentences document such as product review to become rating value based on bag of word and word order, sometimes they have got the mis in deeper understanding of text sentences description about product. Therefore, it influenced the result of predict the rating was inaccurate. In this research, author proposed novel method enhance variant of convolutional neural network dubbed dynamic convolutional neural network to improve scalability and increase deeper understanding to increase accuracy level. Based on our experiment, our model outperforms over existing state of the art in previous work in extracting text sentences product description based on evaluation approach uses RMSE.
Prediction of Surface Roughness for Development of Smart Milling Machine
Authors: Sudianto A. , Jamaludin Z. , Azwan Abdul Rahman A. 
Published: June 2019

Abstract
The primary aim of manufacturing industry is to reduce manufacturing costs to the level that is as low as possible without reducing the quality of products. In the machining process of metal parts and features, smart milling process is being projected for materials removal process of both metal and non-metal with complex forms and finishing well. Measuring a quality of an efficient milling process is normally to be a base on the quality of the finished surface roughness. The affect several attributes of components of the surface roughness, such as ability to distribute the lubricant, load bearing capacity, heat transmission, light reflection, the contact causing surface friction, load bearing capacity, light reflection, coating or resisting fatigue with the aim to increase the quality of machined products and to reduce the cost of production in manufacturing. These can be achieved by determining the parameters of the metal cutting and machining process correctly and accurately. In this review paper, a comparative study is proposed in the form of regression method that is able to predict the surface roughness at several cutting parameters such as spindle revolution, cutting speed, feeding speed, depth of cut (DOC), length of cut (LOC), helix angle and nose radius of cut.
Design and Implementation of Filter Pump Control in a Freshwater Fish Aquarium based on Fuzzy Logic
Authors: Muslim Muhammad Aziz , Julianto Yogi Raditya 
Published: June 2019

Abstract
One of the essential factors in the cultivation of freshwater ornamental fish in the aquarium is the water quality. Quality aquarium water is clear water with appropriate temperature and pH. In this study, the design and implementation of the control system based on fuzzy logic for filter pump work cycle were reported. The fuzzy logic in the controller will provide the strength of filter pump work based on the information on the turbidity level of water obtained from the photodiode sensor and the acidity of the water collected from the pH sensor. The results of the fuzzy logic controller design are implemented in Arduino UNO R3 microcontroller to control filter pump strength. The experimental results show that the controller can improve the water clarity level at the desired level in a reasonably short time. In addition, it was also demonstrated that the system performance was still good even in the existence of disturbance.
Review on Lossless Compression Techniques
Authors: Devi Kotha Harika , Tummanapally Madhumitha , Upadhyay Vikash Kumar 
Published: June 2019

Abstract
In the present world data compression is used in every field. Through data compression the bits required to represent a message will be reduced. By compressing the given data, we can save the storage capacity, files are transferred at high speed, storage hardware is decreased so that its cost is also decreased, and storage bandwidth is decreased. There are many methods to compress the data. But in this paper, we are discussing about Huffman coding and Arithmetic coding. For various input streams we are comparing adaptive Huffman coding and arithmetic coding and we will observe which technique will be more efficient to compress the data.
A multi Ability CP-ABE access control scheme for public cloud storage
Authors: Deepthi Kothapalli Chaitanya , Ashok Dasari , Krishna M 
Published: June 2019

Abstract
The main personality of the cryptography structure based on communication with writings of stable figures and private keys [1-4]. Our development is a key encapsulation mechanism (KEM), so long messages can be coded under a short symmetric key. In our response, the writings of the figures and the private keys have stable dimensions and the people in general are directly in the maximum estimate of s. Furthermore, in our plan, the private key generator (PKG) can potentially include new people without modifying the already widespread data (as in the EIB’s plans). We also note that there is no chain of importance between the characters, despite HIBE. The income of the general population is directed at the maximum size of S, and not in the amount of decoding keys that can be transmitted, which is the amount of conceivable characters. In this case, use a simple situation to find out about the group classification and main administration test problems. Think about a source that sends information to a provision of beneficiaries in a multicast session. Session security is supervised by two principles of useful substances: a Group Controller (GC) responsible for confirmation, approval and control and a Key Server (KS). To ensure classification in the middle of the multicast session, the sender (source) shares a mysterious symmetric key with all the individuals in the legitimate collection, called the Traffic Encryption Key (TEK). To multicast a mysterious message, the source encodes the message with the TEK using a symmetric encryption calculation. From previous documents, we look at how to share protected information in the cloud without losing keys. In this article, we present a new digital brand, an SSH key, hash functionality, and major escrow calculations.
Dynamic design and implementation of security intelligence for industry
Authors: Rudraraju Sri Krishna Chaitanya , Kumar Samparthi V S 
Published: June 2019

Abstract
As The development of Internet of Things (IOT) technology became one of the proponents in the industrial revolution 4.0. Digital transformation began to be applied to the entire manufacturing industry, services, transportation and education which have slowly shifted utilizing IOT technology. The industrial revolution 4.0 has an impact on digital transformation and becomes a necessity that can change business patterns such as the ease of data interaction services between industries to customers that are also supported by ease of access and speed of decision making. However, in its development, stakeholders tend to focus on infrastructure and information systems, while the security of information systems is still a comfort zone for industries in the transformation to industry 4.0. The issue of information system security will be a challenge for the industry with open access to information systems; otherwise focus will hamper the business process of the industry. In this research will be discussed about the modeling and implementation of information system security with a combination of web-based security methods with port knocking firewall model and short message service gateway as a security medium with the concept of ease of access with safe and comfortable. The result of this research has been testing penetration testing using network tools.
Enhanced path recreation in remote sensor networks
Authors: Kanna Babu A M K , Pavan G , satyanarayana K 
Published: June 2019

Abstract
The remote specially appointed systems comprise of a gathering of remote hubs that impart over a typical remote medium. The hubs impart without a framework, for example, base station, wired passage, and so forth. The foundation of the systems must be in an appropriated and decentralized way. In this manner, the many-sided quality of the systems is in the hubs self. The hubs must have the capacity to take care of system’s concern, for example, directing and security. Regardless of the specialized difficulties, the interests of the impromptu systems increment quickly as of late, in light of the fact that they bolster portability and are exceptionally appropriate for some troublesome circumstances, such protect mission, military, vehicular interchanges, and so forth. In this review article, I present the idea of remote impromptu systems and uncommonly portable specially appointed system (MANET), their engineering, purposes, applications, preferences, burdens, and correlation with framework systems.