bluuebunny/crossref_metadata_2025 huggingface dataset:
Reconstruction of soft tissue penile defects due to trauma using inguinal flaps
Authors: Nguyen Duc Hanh
Published: June 2021

Background: We present a case of using the external pudendal artery (EPA) flap to cover the soft tissue defects of the penis following multiple trauma with penis shrinkage, corpus spongiosum and urethral injuries.

Case report: A 54-year-old male patient was admitted to the hospital with multiple injuries: complex trauma with extensive scrotal and perineal skin loss, soft tissue defects of the penis with corpus spongiosum and urethral injuries, complex and open forearm fracture. The patient underwent emergency surgery to remove scrotal skin, Burry the testis in the subcutaneous pouches in the thigh, Foley sonde was placed over the bladder above the pubic bone and amputate the right hand.After that, the patient was operated on using foreskin flaps to cover corpus spongiosum defects and reconstruct the urethra. However, after about 10 days, the foreskin flap was infected and then necrotic resulting in the soft tissue defects of the penis exposing the urethral.Therefore we decided to perform surgery using the external pudendal artery (EPA) flap to solve that problem. We put sonde foley to shallow urethra and let urine pass out. The cosmetic and functional results of this foreskin-flap have been good. There was no infection, the length of the penis was maintained. The urinary stream has been normal with no urine leakage after surgery.

Conclusion: The external pudendal artery flap is a good option for the treatment of patients with penile soft tissue defects. Due to its simplicity, short operation time, easy dissection, good aesthetic outcome. Therefore the external pudendal artery flap is an optimal choice for the treatment of cases of genital soft tissue defects (scrota and penis).
Stenting of ruptured gastroduodenal artery pseudoaneurysm
Authors: Do Kim Que
Published: June 2021

Gastroduodenal artery (GDA) aneurysm is a rare surgical entity that causes various symptoms. In the case of rupture, it usually presents an ominous prognosis and mortality rate of up to 40%. Although open surgical procedure is a mainstay, endovascular intervention is emerging a promising treatment in recent years, due to its advantages and safety. We present a case of upper gastrointestinal bleeding caused by ruptured GDA pseudoaneurysmin a 71-year-old woman, with medical episodes of acute pancreatitis, a pancreatic body tumor removal surgery was performed, and now the tumor is relapsing and metastasizing. The treatment approach is blocking off the pseudoaneurysm by a covered stent. The procedure was successful and the patient is asymptomatic. Two months later, the pseudoaneurysm reduces its size and completely excluded from the preservation of the blood flow in the artery.Follow-up to 26 month, patient is well, no symptoms or recurrence. Endovascular interventional treatment in the case of GDA aneurysms is considered a promising alternative not only to open surgery but also to an effective emerging technique even in the acute setting.
A Phase-space View of Cold-gas Properties of Virgo Cluster Galaxies: Multiple Quenching Processes at Work?
Authors: Morokuma-Matsui Kana , Kodama Tadayuki , Morokuma Tomoki , Nakanishi Kouichiro , Koyama Yusei , Yamashita Takuji , Koyama Shuhei , Okamoto Takashi
Published: June 2021

We investigate the cold-gas properties of massive Virgo galaxies (>109
M
⊙) at <3R
200 (R
200 is the radius where the mean interior density is 200 times the critical density) on the projected phase-space diagram with the largest archival data set to date to understand the environmental effects on galaxy evolution in the Virgo cluster. We find lower H i and H2 mass fractions and higher star formation efficiencies (SFEs) from H i and H2 in the Virgo galaxies than in the field galaxies for matched stellar masses; the Virgo galaxies generally follow the field relationships between the offset from the main sequence of the star-forming galaxies [Δ(MS)] and the gas fractions and SFEs, to the slight offset to lower gas fractions or higher SFEs compared to field galaxies at Δ(MS) < 0; lower gas fractions in galaxies with smaller clustocentric distance and velocity; and lower gas fractions in the galaxies in the W cloud, a substructure of the Virgo cluster. Our results suggest the cold-gas properties of some Virgo galaxies are affected by their environment at least at 3R
200 maybe via strangulation and/or preprocesses, and H i and H2 in some galaxies are removed by ram pressure at <1.5R
200. Our data cannot rule out the possibility of other processes such as strangulation and galaxy harassment accounting for gas reduction in some galaxies at <1.5R
200. Future dedicated observations of a mass-limited complete sample are required for definitive conclusions.
The Deviation of the Size of the Broad-line Region between Reverberation Mapping and Spectroastrometry
Authors: Zhang Xiaer , He Zhicheng , Wang Tinggui , Guo Hengxiao
Published: June 2021

The combination of the linear size from reverberation mapping (RM) and the angular distance of the broad-line region (BLR) from spectroastrometry (SA) in active galactic nuclei can be used as a “standard ruler” to measure the Hubble constant H
0. Recently, Wang et al. successfully employed this approach and estimated H
0 from 3C 273. However, there may be a systematic deviation between the response-weighted radius (RM measurement) and luminosity-weighted radius (SA measurement), especially when different broad lines are adopted for size indicators (e.g., Hβ for RM and Paα for SA). Here we evaluate the size deviations measured by six pairs of hydrogen lines (e.g., Hβ, Hα, and Paα) via the locally optimally emitting cloud (LOC) models of the BLR. We find that the radius ratios K (=R
SA/R
RM) of the same line deviated systematically from 1 (0.85–0.88) with dispersions between 0.063 and 0.083. Surprisingly, the K values from the Paα(SA)/Hβ(RM) and Hα(SA)/Hβ(RM) pairs not only are closest to 1 but also have considerably smaller uncertainty. Considering the current technology of infrared interferometry, the Paα(SA)/Hβ(RM) pair is the ideal choice for low-redshift objects in the SARM project. In the future, the Hα(SA)/Hβ(RM) pair could be used for high-redshift luminous quasars. These theoretical estimations of the SA/RM radius pave the way for future SARM measurements to further constrain the standard cosmological model.
5. Le salariat n’est pas un rapport d’échange : l’influence de la théorie de Schmitt sur celle de Jean Cartelier
Authors: Piluso Nicolas
Published: June 2021

Cet article tente de mettre en évidence l’influence de Schmitt sur la théorie de Cartelier concernant le rapport salarial. Les deux auteurs remettent en cause la conception standard du salariat qui consiste à analyser ce dernier comme un simple rapport d’échange. Ils soutiennent que la rémunération du facteur de travail n’est pas un acte d’achat. Pour le comprendre, il faut remonter d’une part à leur critique des liens entre monnaie et théorie de la valeur dans l’approche standard, et d’autre part à leur adhésion à l’idée de Keynes selon laquelle la relation entre entrepreneurs et salariés est fondamentalement asymétrique. JEL Classification : B22, B50, J20, E49
7. « The Proper Use of Land ». E.F. Schumacher on Economics and the Environment, 1930-1977
Authors: Leonard Robert
Published: June 2021

À l’origine un économiste conventionnel d’inspiration fabienne, E.F. Schumacher (1911-1977) est devenu en 1973 l’auteur de Small is Beautiful: A Study of Economics as if People Mattered , le best-seller qui a fait sa renommée publique. Au cours de son évolution intellectuelle, Schumacher est devenu de plus en plus critique à l’égard de la profession économique, qu’il accusait d’être obsédé par la mesure et inconscient de la qualité, et de promouvoir la croissance économique à un coût environnemental élevé. Cet article examine la critique de Schumacher de la discipline économique et de ses méthodes, avec un accent particulier sur les questions environnementales. Classification JEL : B31, Q57
Intérêts particuliers et bien commun dans les assemblées citoyennes
Authors: Pénigaud Théophile
Published: June 2021

La plupart des discussions théoriques sur les assemblées citoyennes ont jusqu’ici porté sur leur représentativité, leur qualité délibérative ou leur place en démocratie. L’intérêt particulier des personnes siégeantes est en revanche peu pris en compte. L’une des raisons tient à ce que l’impartialité constitue souvent l’une des premières qualités recherchées. Ce scrupule repose toutefois sur des attentes irréalistes à l’égard de tels dispositifs. À rebours, cette contribution soutient que la mise en présence d’intérêts particuliers conflictuels pourrait constituer l’un des traits attractifs des assemblées tirées au sort, dans la mesure où l’on peut espérer que le conflit adéquatement encadré mette au jour et contribue à corriger des injustices jusque-là inapparentes
Tirage au sort et dépolitisation : 20 e et 21 e siècles
Authors: Urbinati Nadia , Harivel Maud
Published: June 2021

Traduits par Maud Harivel, les chapitres 6 et 7 de La Democrazia del sorteggio écrits par Nadia Urbinati, politologue italo-américaine, nous offre une réflexion précieuse sur les rapports complexes entre partis politiques et promotion du tirage au sort. En Italie, le mouvement mené par Guglielmo Giannini dans l’après-guerre fait déjà la promotion du tirage au sort dans l’optique d’une démocratie post-idéologique débarrassée des partis politiques. En faisant le lien entre cette histoire, l’expérience islandaise et les réclamations plus récentes du Mouvement Cinq Étoiles, Nadia Urbinati souligne toutes les contradictions et les paradoxes du souhait visant à créer une démocratie sans partis, de la négation du jugement partisan aux logiques d’assignation et de représentation par l’identité sociale.
Échapper à la conflictualité ? Le tirage au sort comme outil de management et d’union nationale
Authors: Cordier Lionel
Published: June 2021

Cet article se propose d’examiner d’abord ce qui constitue les sources d’inspiration du Forum national et du processus constitutionnel islandais. Puis il revient sur la façon dont le tirage au sort est ici utilisé comme outil de dépassement de la conflictualité sociale en contexte de crise politique, en revenant notamment sur la signification que lui donnent ses concepteurs et ses liens au discours néomanagérial. Enfin, il analyse l’échec relatif du dispositif islandais – son abandon par le Parlement et sa transformation en objet de luttes partisanes – au regard de ces mêmes données.
Introduction. Expertise et assistance technique dans les « marches » de l’Europe
Authors: Bonnard Pascal , Robert Cécile
Published: June 2021

L’aide publique internationale, et plus spécifiquement européenne, dans les territoires aux « marges » de l’Europe a été peu étudiée sous l’angle de sa mise en œuvre, et on sait peu de choses sur les formes concrètes que prennent notamment les politiques d’élargissement et de voisinage de l’Union européenne. Plus invisibles encore sont les professionnels et experts qui, tout au long de la chaîne de production de cette action publique, en particulier dans les espaces nationaux récipiendaires de l’aide internationale, lui donnent pourtant sens et contenu. Selon quelles modalités s’opère sa mise en œuvre et quels usages sont faits du recours dans ce cadre à l’expertise extérieure ? Comment les opérateurs des fonds interprètent-ils les orientations de ces programmes d’aide ? Et que doivent ces manières de faire et de voir l’UE à leurs profils et trajectoires ? Comment l’apparition de marchés internationaux de l’expertise que suscite l’afflux de fonds internationaux transforme-t-elle les relations des ONG, associations et experts locaux entre eux et avec les autorités nationales ? Telles sont quelques-unes des questions que cette introduction entend explorer.
Les configurations professionnelles de l’assistance financière de préadhésion en Turquie
Authors: Visier Claire
Published: June 2021

Cet article porte sur l’assistance financière européenne de préadhésion à la Turquie, envisagée à partir d’une perspective de sociologie politique, et s’intéresse aux acteurs chargés de mettre en œuvre cette assistance. Il montre comment le dispositif d’assistance a renforcé l’administration centrale turque, principale bénéficiaire des projets. Ce renforcement apparaît toutefois spécifique. Sur le fond des projets, l’administration n’a pas véritablement développé d’expertise. Celle-ci est restée maîtrisée par différents acteurs professionnels extérieurs, spécialisés dans l’assistance. Cette faiblesse de l’expertise n’a cependant pas remis en cause le pouvoir de l’administration.
Future Trends in Presbyopia Correction
Authors: Mercer Ryan N. , Milliken Cole M. , Waring George O. , Rocha Karolinne M.
Published: June 2021

Presbyopia affects 1.8 billion people worldwide. This reduction in distance corrected near visual acuity impacts quality of life, which prompts patients to seek treatment. Presbyopia is an early manifestation of the “crystalline lens optical dysfunction through aging,” or dysfunctional lens syndrome, and appropriate management of presbyopia is dependent on coexisting factors such as increased higher order aberrations, reduced contrast sensitivity, light scatter, and lenticular opacification. This review of published literature (PubMed and MEDLINE) is presented in narrative format and discusses medical and surgical treatments available to patients who experience presbyopia, while highlighting future therapies. Numerous strategies exist for the management of presbyopia. These strategies include pharmacological therapy, glasses and contact lenses, corneal, scleral, and lenticular procedures. This article discusses the role of several new and existing presbyopia treatments, as well as which patients are candidates for these novel therapies. Although no single treatment is ideal for all patients with presbyopia, new medical and surgical strategies increase the number of options available when addressing different stages of presbyopia and dysfunctional lens syndrome.

[
J Refract Surg
. 2021;37(6 Suppl):S28–S34.]
Screening coronavirus and human proteins for sialic acid binding sites using a docking approach
Authors: Wang Chia-Wen ,   Institute of Biophotonics, School of Biomedical Science and Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan, Lee Oscar K. , Fischer Wolfgang B. ,   Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan,   Department of Orthopedics, China Medical University Hospital, Taichung, Taiwan
Published: June 2021

The initial step of interaction of some pathogens with the host is driven by the interaction of glycoproteins of either side via endcaps of their glycans. These end caps consist of sialic acids or sugar molecules. Coronaviruses (CoVs), including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), are found to use this route of interaction. The strength and spatial interactions on the single molecule level of sialic acids with either the spike (S) protein of SARS coronaviruses, or human angiotensin-converting enzyme 2 (ACE2) and furin are probed and compared to the binding modes of those sugar molecules which are present in glycans of glycoproteins. The protocol of using single molecules is seen as a simplified but effective mimic of the complex mode of interaction of the glycans. Averaged estimated binding energies from a docking approach result in preferential binding of the sialic acids to a specific binding site of the S protein of human coronavirus OC43 (HCoV-OC43). Furin is proposed to provide better binding sites for sialic acids than ACE2, albeit outweighed by sites for other sugar molecules. Absolute minimal estimated binding energies indicate weak binding affinities and are indifferent to the type of sugar molecules and the proteins. Neither the proposed best binding sites of the sialic acids nor those of the sugar molecules overlap with any of the cleavage sites at the S protein and the active sites of the human proteins.
Delta waves and vacuum states in the vanishing pressure limit of Riemann solutions to Baer-Nunziato two-phase flow model
Authors: Zhang Qinglong
Published: June 2021

The phenomena of concentration and cavitation for the Riemann problem of the Baer-Nunziato (BN) two-phase flow model has been investigated in this paper. By using the characteristic analysis method, the formation of \begin{document}$ \delta- $\end{document}waves and vacuum states are obtained as the pressure for both phases vanish in the BN model. The solid contact wave is carefully dealt. The comparison with the solutions of pressureless two-phase model shows that, two shock waves tend to a \begin{document}$ \delta- $\end{document}shock solution, and two rarefaction waves tend to a two contact discontinuity solution when the solid contact discontinuity is involved. Moreover, the detailed Riemann solutions for two-phase flow model are given as the double pressure parameters vanish. This may contribute to the design of numerical schemes in the future research.
Classification of non-topological solutions of an elliptic equation arising from self-dual gauged Sigma model
Authors: Chen Huyuan , Hajaiej Hichem
Published: June 2021

Our purpose in this paper is to classify the non-topological solutions of equations

   \begin{document}$ -\Delta u +\frac{4e^u}{1+e^u} = 4\pi\sum\limits_{i = 1}^k n_i\delta_{p_i}-4\pi\sum^l\limits_{j = 1}m_j\delta_{q_j} \quad{\rm in}\;\; \mathbb{R}^2,\;\;\;\;\;\;(E) $\end{document}

where \begin{document}$ \{\delta_{p_i}\}_{i = 1}^k $\end{document} (resp. \begin{document}$ \{\delta_{q_j}\}_{j = 1}^l $\end{document}) are Dirac masses concentrated at the points \begin{document}$ \{p_i\}_{i = 1}^k $\end{document}, (resp. \begin{document}$ \{q_j\}_{j = 1}^l $\end{document}), \begin{document}$ n_i $\end{document} and \begin{document}$ m_j $\end{document} are positive integers. Denote \begin{document}$ N = \sum^k_{i = 1}n_i $\end{document} and \begin{document}$ M = \sum^l_{j = 1}m_j $\end{document} satisfying that \begin{document}$ N-M>1 $\end{document}.

Problem \begin{document}$ (E) $\end{document} arises from gauged sigma models and we first construct an extremal non-topological solution \begin{document}$ u $\end{document} of \begin{document}$ (E) $\end{document} with asymptotic behavior

   \begin{document}$ u(x) = -2\ln |x|-2\ln\ln|x|+O(1)\quad{\rm as}\quad |x|\to+\infty $\end{document}

and with total magnetic flux \begin{document}$ 4\pi (N-M-1) $\end{document}. And then we do the classification for non-topological solutions of \begin{document}$ (E) $\end{document} with finite magnetic flux. This solves a challenging long standing problem. We believe that our approach is novel and applies to other types of equations.
Poustavljenje hrvatskog pravnog poretka
Authors:   Faculty of Law, University of Zagreb, Burazin Luka , Gardašević Đorđe ,   Faculty of Law, University of Zagreb, Krešić Mario ,   Faculty of Law, University of Zagreb
Published: June 2021

U radu se opisuje trenutačni stadij poustavljenja hrvatskog pravnog poretka primjenom Guastinijeva teorijskog modela poustavljenja pravnog poretka, koji se sastoji od tri nužna uvjeta i pet aspekata poustavljenja pravnih poredaka. U prvome se dijelu rada utvrđuje ispunjenost nužnih uvjeta poustavljenja hrvatskog pravnog poretka (dug, krut i sudski zajamčen ustav). U drugome dijelu rada utvrđuju se indikacije postojanja pojedinih aspekata poustavljenja hrvatskog pravnog poretka. Najprije se utvrđuje prisutnost shvaćanja o obvezujućoj snazi ustavnih normi, tj., preciznije, njihova sposobnost da učine nevaljanim zakone nespojive s Ustavom RH. Zatim se utvrđuje prisutnost korištenja tehnike nadtumačenja ustava u praksi Ustavnog suda Republike Hrvatske. Nadalje, utvrđuje se primjenjuju li sudci hrvatskih redovnih (ne-ustavnih) sudova ustavne norme neposredno, tj. odlučuju li u konkretnim sporovima neposredno na temelju ustavnih normi. Zatim se utvrđuje korištenje tehnike prilagođujućeg tumačenja zakona u praksi Ustavnog suda RH. Konačno, utvrđuje se utjecaj Ustava RH na političke odnose u Republici Hrvatskoj.
Prikaz knjige: “Međunarodno privatno pravo – interakcija međunarodnih, europskih i domaćih propisa”, Hrvatska akademija znanosti i umjetnosti, Znanstveno vijeće za državnu upravu, pravosuđe i vladavinu prava, Zagreb, 2020.
Authors:   Faculty of Law, University of Rijeka, Tičić Martina
Published: June 2021

U izdanju Hrvatske akademije znanosti i umjetnosti objavljena je u srpnju 2020. godine knjiga Međunarodno privatno pravo – interakcija međunarodnih, europskih i domaćih propisa. Ova knjiga zbornik je radova s istoimenog okruglog stola održanog 29. listopada 2019. godine u palači Akademije u Zagrebu, koji je bio organiziran u povodu stupanja na snagu Zakona o međunarodnom privatnom pravu (dalje u tekstu: ZMPP). Knjiga je pedeset i druga u sklopu nakladničkog niza Znanstvenog vijeća za državnu upravu, pravosuđe i vladavinu prava pod nazivom Modernizacija prava. Urednici su akademik Jakša Barbić i prof. dr. sc. Hrvoje Sikirić. Knjiga se sastoji od devet tema koje su na okruglom stolu izložili profesori pravnih fakulteta i pravni praktičari diljem Hrvatske. Sve se tiču pitanja iz okvira uredaba Europske unije te novog ZMPP-a. Iako dijele istu dodirnu točku, teme su raznolike, od samog upućivanja na propise europskog i međunarodnog privatnog prava, sve do povezivanja materije s pitanjem zaštite ljudskih prava. Nudi se pregršt različitih perspektiva, od izlaganja znanstvenika do praktičnih iskustava iz pravosuđa, čime se uspjela izbjeći jednostranost u pristupu materiji. Dodatnu važnost knjizi daju mnogobrojni primjeri te analiza prakse europskih i hrvatskih sudova, koji daju životnost teorijskim razmatranjima. Ova knjiga će stoga biti iznimno korisna svim stručnjacima koji proučavaju ili praktičarima koji izravno dolaze u doticaj s europskim i međunarodnim privatnim pravom. U predgovoru akademik Jakša Barbić ističe razloge održavanja okruglog stola i napominje kako je donošenje ZMPP-a izazvalo velike promjene u izvorima međunarodnog privatnog prava te stoga naglašava važnost znanstvene obrade procesa kao što su utvrđivanje nadležnosti sudova i mjerodavnog prava te priznanje i ovrha stranih odluka. Ukratko ističe što je prethodilo donošenju ZMPP-a te upozorava na nekoliko pitanja koja se postavljaju, primjerice, mogućnost stranačke autonomije u određivanju mjerodavnog prava, ograničenje autonomije država članica da uređuju pitanja s područja stvarnog prava te utjecaj ljudskih prava na međunarodno privatno pravo. Također ističe kako će čitateljima biti posebno zanimljivo praktično viđenje primjene uredaba Europske unije koje je izloženo u nastavku knjige. Ova knjiga sastoji se od pet uvodnih članaka i četiri članka umješača.
Energy Efficient Strategy for WSN Technology Using Modified HGAF Technique
Authors: Aznaoui Hanane , Raghay Said , Ullah Arif , Khan Mubashir Hayat
Published: June 2021

Due to the rapid growth in technologies has led to the development of sensor nodes. As we know that wireless sensor network is collection of small and large number of sensor node. These sensor nodes are used for different domain like environmental research, health care, monitor, military, and record the physical activity. These nodes communicate with each other and forward the message to base station. For communication of these node different algorithms used Geographical adaptive fidelity (GAF) is one of them. Dropping energy utilization in wireless sensor network directly affects the network lifetime. HGAF is one of the important multiple location based on routing system algorithm. The main function of HGAF technique is to turn-off the unnecessary nodes in the network without interrupting the other connected node. In this paper we proposed a technique known as modified HGAF and it design as a power saving method. In the proposed technique the size of cell structure in grid changed and communication method improve due to those changes.  Based on the result the proposed technique increase 25% in dead node ratio and also increase the network.
Localizing Epileptogenic Zone from High Density EEG Data Using Machine Learning
Authors: Khan Sehresh , Khan Aunsia , Hameed Nazia , Taufiq Muhammad Aleem , Riaz Saba
Published: June 2021

Drug-resistant focal epilepsy is the failure of antiepileptic drugs scheduled to obtain epileptic free brain activities. In human brain, cerebral hemispheres are the most commonly involved brain regions in epilepsy. In case of antiepileptic drugs failure, surgical treatment is the best cure possible. However, correct localization of epileptogenic region is a challenging task for neurologists, while for computer scientists, automatic localization is. This research work’s aim is to explore the functional activities of all brain regions in drug-resistant focal epileptic patients and achieve high accuracy for the classification of epileptogenic region (ER) with the high-density electroencephalographic (hdEEG) data. The proposed system includes frequency analysis for feature extractions followed by individual subject’s registration of hdEEG signals with anatomical brain images for most precise localization of ER possible. The datasets attained from feature extraction process are then preprocessed for class imbalanced and then evaluated using different machine learning algorithms including the techniques under Bayesian networks, Lazy networks, Meta techniques, Rule based systems and Tree structured algorithms. Considering human brain as stationary object as well as dynamic object, frequency-based and time-frequency based features were considered in 12 subjects respectively. Through this novel approach, 99.70% accuracy is achieved to classify ER from healthy regions using KSTAR and using IBK algorithm, 91.60% accuracy has been achieved to classify generator from propagator.
Face Mask Detection Using LabView
Authors: Santhosh Chella , Ravi Kumar M , Lakshmi Prasanna J , Ram Kumar I. , Vinay Kumar U , Navya Sri S
Published: June 2021

Rapid worldwide spread of Corona virus Disease 2019 (COVID 19) has resulted in a global pandemic. In present scenario due to covid-19, the mask has been an important part of our live for our safety as well as for the others safety so there is a need for efficient face mask detection applications in crowded areas like shopping malls, Public transportation etc. To ensure safety of the people in the surroundings. Face Mask Detection using NI LabVIEW. In this project a real-time system is developed to detect whether the person is wearing a mask or not by acquiring a real-time image of him through a Camera. The main challenges in detecting the mask are there are masks with various colors and patterns and secondly the background, light intensity are also the factors that affect the result. So, all these factors should be taken into consideration while developing the system in real-time. This system used for this application consists of vision development module. Vision development module helps to develop applications for machine vision and image processing applications we can use it with LabVIEW for real- time systems. A camera with good pixel quality is used for image acquisition. The captured image is of RGB format, it is difficult to analyze the image in this format, so it undergoes color plane extraction in this only a single plane of the image is considered which separates the mask from surroundings and results in a grey scale image for further processing. The image later is compared to a custom-made template dataset using pattern matching algorithm from vision assistant which helps to detect the mask region. overlaying techniques are used to highlight the mask region which shows that the person is wearing the mask.
Hybrid Mean Fuzzy Approach for Attention Detection
Authors: Mohd Nasir Haslinah , Mohamed Aminuddin Mai Mariam , Brahin Noor Mohd Ariff , Mispan Mohd Syafq
Published: June 2021

Statistics around the world showed that attention deficit significantly leads to road accidents. Hence, the growth of studies on attention deficit detection becoming more important. The studies obtained the waveform from electroencephalography (EEG) to identify the characteristic of attention. However, each individual has own unique characteristics to significantly shown the attention deficit. Thus, this research aim is to use the fuzzy approach to minimize the variability gap of the EEG signal between each individual. The research conducted the prior experiment to develop control parameter for training set of fuzzy by using two distinct stimulations to create two groups of attention sample i.e., attentive and inattentive. An approach of novel Hybrid Mean Fuzzy (HMF) was proposed in this research to detect attention deficit in EEG signal. It is the combination of simple averaging (Mean) and Fuzzy approaches for EEG analysis and classification. The results of using this method shows a significantly change in EEG signal which correlates to the attention detection. An Attention Degradation Scale (ADS) is successfully developed as the threshold value of EEG for attention detection. Therefore, the findings in this research can be a promising foundation on attention deficit detection in large application not only for reducing the road accidents.
Health Query Expansion based on Graph Matching between DBpedia and UMLS
Authors: Dahir Sarah , El Qadi Abderrahim , Bennis Hamid
Published: June 2021

Information Retrieval (IR) in the medical domain is considered as a challenging task for many reasons. Short health queries tend to lack information on user's intent, and the target corpus may not have sufficient information for Relevance Feedbacks. And even, if the user obtains relevant documents to his/her queries, it is difficult for him/her to understand the technical terms.  In contrast, in this paper, we propose an approach for health queries reformulation based on graph matching between two external linked data sources: DBpedia and Unified Medical Language System (UMLS). DBpedia has a broad coverage of topics and less noise compared to Wikipedia articles, and UMLS is specific to the medical domain. We also introduced the degree centrality to measure the graph connectivity and to select the most efficient candidate terms for query expansion. Experimental results on MEDLINE collection using Okapi BM25 as a retrieval model showed that our approach outperformed related methods, and the two sources achieved very good retrieval results. They helped in the diversification of the retrieved documents and the improvement of the recall.
Lucas Algorithm for Medical Images Encryption and Transmission using Orthogonal Frequency Division Multiplexing for Medical Health Information Systems and its VLSI Realization
Authors: Ch Gangadhar , Habibulla Md
Published: June 2021

Security of medical images is critical for transmission of medical images and relevant patient information through public health information systems networks. Image encryption is an important tool for protecting Medical images by converting them into unrecognisable formats for the transmission and receiption of medical images.  This paper proposes an algorithm for medical image encryption using Lucas Algorithm, and a discrete wavelet transform based transmission and reception technique, which is known as orthogonal frequency division multiplexing(OFDM). This paper presents an implementation of Lucas Algorithm for image encryption and combines it with Discrete wavelet transform orthogonal frequency division multiplexing using Field Programmable Gate Array.
Res and Verba: The Early Humanist Translations of Natural Science and Medical Texts
Authors: Basile Gastón J.
Published: June 2021

The article examines the challenges Italian humanists faced as Greek scientific literature was gradually incorporated into their broad translation agenda during the fifteenth century. The accurate translation and interpretation of the naturalia called into question the rhetoric-based translation norms underpinning the humanist programme, and instead re-oriented intellectual debates regarding the relationship between res and verba, terminological exactness, awareness of specific discourse genres, as well as the translation strategies that could best accommodate this body of literature. The contribution of medical humanists was crucial in stimulating a new approach to the naturalia and the translation of scientific texts.
Medical Humanism in the Making: Symphorien Champier (1471-1539) and Galen
Authors: Petit Caroline
Published: June 2021

This article explores various aspects of medical humanism through the figure of French polymath Symphorien Champier. A passeur of knowledge between the ancients and the moderns, as well as between Italy and France, Champier developed as a scholar in the wake of the unearthing of ancient medical works, notably Galen’s. This article reveals the interplay between Champier’s intellectual trajectory and the redicovery of Galen’s thought.
Medical Humanism, a Problematic Formulation?
Authors: Nutton Vivian
Published: June 2021

The phrase “medical humanism” has been often used over the past fifty years to refer to the learned medicine of the Late Renaissance. But it can refer to several different aspects of this period, including a general reference for classical antiquity or a more specific reference to a reliance on ancient, and primarily Greek texts. This paper attempts to tease out some of the ways in which this classical heritage was used at different times in a plea for a greater precision.
Prediction of Soybean Price Trend via a Synthesis Method With Multistage Model
Authors: Xu Zhiling , Deng Hualing , Wu Qiufeng
Published: June 2021

Soybean is an important crop, so it is very important to forecast soybean price trend, which can stabilize the market. This paper presents a Synthesis Method with Multistage Model (SMwMM) in order to identify and forecast soybean price trend in China. In the previous work,Toeplitz Inverse Covariance-based Clustering(TICC) has been applied to cluster the prices of four variables. The research have found that there are four patterns in soybean market price, which could be explained by economic theory. This paper consider four patterns as market risk levels. Based on the clustering results, we used Long short-term memory(LSTM) to forecast the prices of these four variables. Multivariate long short-term memory(MLSTM) is then used to classify soybean price to determine level of risk . Experimental results show that :(1)The LSTM model has achieved great fitting effect and high prediction accuracy;(2) The performance of MLSTM-FCN and MALSTM-FCN is better than that of LSTM-FCN and ALSTM-FCN. Furthermore,MALSTM-FCN had the higher accuracy than MLSTM-FCN, which reached 76.39%.
Broad Autoencoder Features Learning for Classification Problem
Authors: Wang Ting , Ng Wing W. Y. , Li Wendi , Kwong Sam
Published: June 2021

Activation functions such as Tanh and Sigmoid functions are widely used in Deep Neural Networks (DNNs) and pattern classification problems. To take advantages of different activation functions, the Broad Autoencoder Features (BAF) is proposed in this work. The BAF consists of four parallel-connected Stacked Autoencoders (SAEs) and each of them uses a different activation function, including Sigmoid, Tanh, ReLU, and Softplus. The final learned features can merge such features by various nonlinear mappings from original input features with such a broad setting. This helps to excavate more information from the original input features. Experimental results show that the BAF yields better-learned features and classification performances.
The Impact of Human Resource Planning (HRP) in Achieving the Strategic Goal of the Firm With the Moderating Role of Organizational Innovation
Authors: Hani Jehad Bani
Published: June 2021

The aim of this study is to ex amine the impact of human resource planning (HRP) in achieving strategic goal of the firm and organizational productivity. Structural equation modeling (SEM) approach is used to investigate causal relationship among exogenous and endogenous variables. Findings indicate that underpinned factors like talent management, succession planning, job analysis, staffing plan, and career development have showed positive impact to predict strategic goals of the firm. The interaction effect between achieving strategic goal and organizational innovation is found significant and confirmed that the positive relationship between achieving strategic goal of firm and organizational productivity will be stronger when organizational innovation is higher. Effect size analysis〖 f〗^2 indicates that employee creativity has the highest effect size in achieving strategic goal of the firm. Finally, the current study contributes to theory and practice while showing the importance of human resource planning in predicting organizational productivity.
Recent Strategies for Automatic Generation Control of Power Systems With Diverse Energy Sources
Authors: Kumar Ashwini , Singh Omveer
Published: June 2021

This paper reveals Automatic Generation Control (AGC) strategies of power systems including diverse type power generating sources and comprehensive literature review is also presented. These diverse type energy sources considered conventional power sources like thermal, diesel, nuclear, etc. and Renewable Energy Sources (RESs). RESs are solar energy, wind energy, hydro energy, etc. A variety of AGC schemes based on hard, soft and artificial intelligent computation techniques is presented here. The benefits and their limitations of these energy generating units are also taken in this article. In the present scenario, deregulation, smart micro-grid and grid concept is also utilized with interconnection of the considered energy generating sources. The literature of this review article fulfills the gap of recent and previous decades research work and provides future exploration in AGC techniques.
Intelligent Employee Retention System for Attrition Rate Analysis and Churn Prediction
Authors: Srivastava Praveen Ranjan , Eachempati Prajwal
Published: June 2021

The paper aims to examine the factors that influence employee attrition rate using the employee records dataset from kaggle.com. It also aims to establish the predictive power of Deep Learning for employee churn prediction over ensemble machine learning techniques like Random Forest and Gradient Boosting on real-time employee data from a mid-sized Fast-Moving Consumer Goods (FMCG) company. The results are further validated through a regression model and also by a multi-criteria Fuzzy Analytical Hierarchy Process (AHP) model which takes into account the relative variable importance and computes weights. The empirical results of the machine learning models indicate that Deep Neural Networks (91.2% accuracy) are a better predictor of churn than Random Forest and Gradient Boosting Algorithm (82.3% and 85.2% respectively). These findings provide useful insights for human resource (HR) managers in an organizational workplace context. The model when recalibrated by the human resource team of organizations helps in better incentivization and employee retention.
Health literacy and preparedness of health workers in the private health sector towards the COVID-19 pandemic: Need for integration into the nationwide response
Authors: Tobin Ekaete , Ajekweneh Vivian , Obi Andrew , Henshaw Eshan
Published: June 2021

The private health sector has the potential to participate in the COVID-19 pandemic response. The study aimed to assess the health literacy, perceptions, practices, willingness to participate and opportunities for engagement of the private health sector in the COVID-19 response. A cross-sectional survey was carried out among health workers in private health facilities in Edo Central and Edo North Senatorial districts of Edo state between May and June 2020. Data were collected using pre-tested questionnaires and analysis carried out using Statistical Package for Social Science (SPSS). Chi-square test of significance and logistic regression were applied at 5% cut off. A total of 153 health workers participated giving a response rate of 75.0%. Eighty-eight (57.5%) respondents had good knowledge of COVID-19 and 80 (52.3%) held negative perceptions towards COVID-19. Ninety-five (62.1%) respondents believed private health facilities had a role to play in the response particularly in the area of suspected case screening (85.4%). Thirty-one (20.3%) respondents indicated their willingness to participate in the COVID-19 response if their facilities were invited to. Sixty-one (39.9%) and 92 (60.1%) respondents respectively held poor and good practices towards COVID- 19 prevention, with practice significantly associated with educational level (χ2 = 14.10, P < 0.01), profession (χ2 = 15.28, P = 0.01). and previous training in infection prevention and control (IPC) (χ2 = 18.16, P < 0.01). The resources available from the private sector to support the response can be harnessed through engagements with medical directors and health workers in the sector to identify areas of collaboration, address identified gaps in knowledge, improve perception and participation.
Autoimmunità e Covid-19: uno studio prospettico monocentrico di follow-up
Authors: Sacchi M.C. , Tamiazzo S. , Lauritano E.C. , Bonometti R. , Stobbione P. , Maconi A.
Published: June 2021

Obiettivi: In un nostro recente studio abbiamo riportato la presenza de novo di autoanticorpi in pazienti con diagnosi di COVID-19 ospedalizzati. Per verificare se questi autoanticorpi permangono nel tempo e/o portano allo sviluppo di malattie autoimmuni, abbiamo condotto uno studio di follow-up a 3 (t3) e 6 (t6) mesi dal ricovero. Metodologia: Tredici dei 40 pazienti arruolati nel precedente studio hanno dato il consenso a partecipare a questo nuovo protocollo. Ai pazienti sono stati eseguiti gli stessi tests di autoimmunità effettuati al momento della diagnosi. Risultati: In 9 pazienti continuano a persistere autoanticorpi circolanti a 6 mesi dalla diagnosi. Una paziente, negativa al momento del ricovero per tutti i tests di autoimmunità, ha sviluppato una forte positività per gli ANA e gli antigeni Mi2- β e Ku a t3 e a t6. Un altro paziente si è positivizzato a t3. Infine, due pazienti sono sempre rimasti negativi per tutto il periodo di monitoraggio. Conclusioni: i nostri dati dimostrano che, dopo sei mesi, la presenza di autoanticorpi permane ancora nella maggior parte dei pazienti. Ulteriori indagini saranno necessarie al fine di poter verificare se questi pazienti si negativizzeranno nel tempo o potranno sviluppare una sintomatologia clinica compatibile con l’insorgenza di una malattia autoimmune cronica. Inoltre, sarà importante capire, se l’alterazione del sistema autoimmune può essere considerata come uno degli effetti del coronavirus (long Covid-19).
Disseminated cutaneous leishmaniasis due to Leishmania (Leishmania) amazonensis in human immunodeficiency virus (HIV)-infected patients
Authors: Araujo Camila F , Oliveira Iara B N , Silveira Murilo B , Ribeiro-Dias Fátima
Published: June 2021

Rationale:

Co-infection of human immunodeficiency virus (HIV) and Leishmania spp. has impact on clinical and therapeutic outcomes of leishmaniases. Most studies do not present the identification of Leishmania species causing American tegumentary leishmaniasis in co-infections. In the Americas, Leishmania (L.) Viannia (V.) braziliensis and L. (V.) guyanensis have been identified.

Patient concerns:

In this study, two cases of American tegumentary leishmaniasis in patients infected with HIV are described. Patients presented several lesions with rapid dissemination and mucosal involvement.

Diagnosis:

Disseminated cutaneous leishmaniasis caused by L. amazonensis was identified by molecular test.

Interventions:

The patients were treated with conventional therapies for HIV infection and American tegumentary leishmaniasis.

Outcomes:

In co-infection, the clinical manifestations are atypical and the treatment response can be impaired.

Lessons:

These cases show that HIV infection impacts L. amazonensis infection and point to the relevance of identifying Leishmania species, which can lead to a better patient management.
Journey of Hearing Health Care in India
Authors: Nayaka S. Hemaraja , Subramaniam Vijayalakshmi
Published: June 2021

The article presents a brief history on the evolution of Hearing Health Care in India. March 3rd, 2021 witnessed the launch of the world report on hearing by the World Health Organization as part of the observation of world hearing day with a special theme for 2021- “Hearing Care for all.” With the estimated prevalence rates of 5.67%–16.5% among all disabilities in India, hearing impairment impacts the country's overall development with a significant economic burden. Hearing health care received more attention during the 1960s with the establishment of specialized nodal centers in 1964 in India. India witnessed a spurt in the growth of hearing health care sector during the 1980s with the development and application of technology. There was an official launch of the trial of indigenous Cochlear Implants designed by the Defence Research and Development Organization of India in 2020. Currently, in India, there are both private and public domains in hearing care services with more than 6000 registered professionals in Audiology and Speech-Language Pathology. With the vast diversity of population and culture, limitation of centers to the urban area, and lack of trained professionals in hearing health care in rural areas, there is a need to reach to the unreached population with hearing problems.
Antimicrobial Stewardship – Implementation and Improvements in Antibiotic-Prescribing Practices in a Dental School
Authors: Telang Lahari Ajay , Nerali Jayashri Tamanna , Kalyan Chakravarthy Pishipati Vinayak , Siddiqui Fawaz Shamim , Telang Ajay
Published: June 2021

Background and Aim:

Antimicrobial stewardship (AMS) is a coordinated systematic approach aimed at educating prescribers to follow evidence-based prescription practice to reduce misuse of antimicrobials and thus antimicrobial resistance (AMR). We aimed to improve the standards of antimicrobial prescribing in a dental school by implementing AMS.

Materials and Methods:

A retrospective (first) clinical audit of antibiotic prescriptions (n = 200) over a 6 months' period was analyzed for the following parameters: type of antibiotic, clinical condition, compliance to national guidelines, and errors in prescriptions. In response to the results of this audit, an educational intervention workshop was conducted for clinical faculty. A validated self-administered questionnaire on perception and practice of antimicrobial prescribing was given to participants (n = 31) before and after the workshop and t-test was used to compare the mean scores of responses. Prospective clinical audits were conducted 6 months (second) and 1 year (third) after the workshop assessing the same parameters. A Strengths, Weaknesses, Opportunities, and Threats analysis of the AMS program was also done.

Results:

The total number of prescriptions issued was 943 in the first audit, which reduced to 552 in the second audit and further to 435 in the third audit. The most commonly prescribed antibiotic was a combination of amoxicillin and metronidazole. The percentage of prescriptions in accordance with national guidelines improved from 19% during the first audit to 54% and 79% in the subsequent audits. The percentage of erroneous prescriptions was 23% in the first audit, which reduced to 12% in the second audit and 9% in the third audit. The pre- and posttest mean values of the questionnaire when compared suggested that there is a need for uniformity in prescribing antimicrobials.

Conclusions:

Clinical audits with educational workshops on appropriate use of antibiotics have a positive impact on conforming with prescription guidelines. This will encourage the rational prescription of antibiotics based on clinical needs of patients, thus contributing to the fight against AMR.