bluuebunny/crossref_metadata_2025 huggingface dataset:
Social Media Monitoring of the COVID-19 Pandemic and Influenza Epidemic With Adaptation for Informal Language in Arabic Twitter Data: Qualitative Study
Authors: Alsudias Lama , Rayson Paul
Published: June 2021

Background

Twitter is a real-time messaging platform widely used by people and organizations to share information on many topics. Systematic monitoring of social media posts (infodemiology or infoveillance) could be useful to detect misinformation outbreaks as well as to reduce reporting lag time and to provide an independent complementary source of data compared with traditional surveillance approaches. However, such an analysis is currently not possible in the Arabic-speaking world owing to a lack of basic building blocks for research and dialectal variation.

Objective

We collected around 4000 Arabic tweets related to COVID-19 and influenza. We cleaned and labeled the tweets relative to the Arabic Infectious Diseases Ontology, which includes nonstandard terminology, as well as 11 core concepts and 21 relations. The aim of this study was to analyze Arabic tweets to estimate their usefulness for health surveillance, understand the impact of the informal terms in the analysis, show the effect of deep learning methods in the classification process, and identify the locations where the infection is spreading.

Methods

We applied the following multilabel classification techniques: binary relevance, classifier chains, label power set, adapted algorithm (multilabel adapted k-nearest neighbors [MLKNN]), support vector machine with naive Bayes features (NBSVM), bidirectional encoder representations from transformers (BERT), and AraBERT (transformer-based model for Arabic language understanding) to identify tweets appearing to be from infected individuals. We also used named entity recognition to predict the place names mentioned in the tweets.

Results

We achieved an F1 score of up to 88% in the influenza case study and 94% in the COVID-19 one. Adapting for nonstandard terminology and informal language helped to improve accuracy by as much as 15%, with an average improvement of 8%. Deep learning methods achieved an F1 score of up to 94% during the classifying process. Our geolocation detection algorithm had an average accuracy of 54% for predicting the location of users according to tweet content.

Conclusions

This study identified two Arabic social media data sets for monitoring tweets related to influenza and COVID-19. It demonstrated the importance of including informal terms, which are regularly used by social media users, in the analysis. It also proved that BERT achieves good results when used with new terms in COVID-19 tweets. Finally, the tweet content may contain useful information to determine the location of disease spread.
Online programs to strengthen mental health in medical students: a literature review (Preprint)
Authors: Ungar Patrizia , Schindler Ann-Kathrin , Polujanski Sabine , Rotthoff Thomas
Published: June 2021

BACKGROUND

Medical students are at an increasing risk of depression and burnout during their study period. This trend among future physicians is a cause for concern, given the great responsibility that the medical profession entails. Medical faculties therefore play a significant role in supporting medical students in maintaining their mental health. Especially in the context of the current COVID-19 pandemic, support services that allow greater flexibility in their use become particularly relevant. Online programs can be accessed from anywhere and any time and can be used individually in a safe or well-known setting. From a preventive perspective, individual characteristics that have been shown to be protective of mental health should be addressed in such programs. Before conceptualizing an online program, reviewing existing online programs for medical students is a first relevant step.

OBJECTIVE

This review provides an overview of the current online programs for medical students to strengthen their mental health by addressing individual characteristics believed to be protective of mental health and addressable in medical curricula.

METHODS

PubMed, ERIC, Cochrane, and Web of Science were used for a systematic literature search. The programs had to be offered digitally and address medical students. Preventive individual characteristics for mental health were included in the search to provide information on their role in the studies. Publications also should include information on the effectiveness of the respective programs.

RESULTS

The literature search yielded 592 articles; of them, only nine met the study criteria. The programs found included elements of cognitive-behavioral therapy, mindfulness training, or peer support. Regarding the mental health outcomes, two studies showed a significant reduction in perceived stress and one study indicated a reduced level of burnout. One program had significant immediate effects on mindfulness, empathy, and resilience; two studies indicated strengthening coping strategies. Two programs were qualitatively assessed as helpful. One study is still ongoing.

CONCLUSIONS

Only a few studies have assessed the effectiveness of online programs to strengthen medical students’ mental health. The programs found mostly addressed preventive individual characteristics but were not developed on the basis of a survey of medical students’ demands. Furthermore, they were provided as add-on programs; integration of such programs into the curriculum may highlight the relevance of mental health. For the development of future online programs, the concrete needs of the respective target group should be surveyed and taken into account. Based on this, suitable online programs can be developed in a targeted way to strengthen mental health by addressing preventive individual characteristics. This needs-based prevention approach can support health-promoting education of future physicians.
Poder constituyente, pueblo, constitución. La teoría constitucional de Schmitt a la luz de su giro institucional
Authors: Simonetti Luciano
Published: June 2021

El presente trabajo estudia los conceptos fundacionales de la teoría constitucional de Carl Schmitt, tal como ella es concebida en Teoría de la Constitución (1928), a la luz de su giro institucional. Para ello, primero se presenta el decisionismo schmittiano, plasmado en sus principales escritos de la década de 1920, incluido Teoría de la Constitución. En segundo lugar, se exhibe el giro institucional que sufrió su obra, acaecido en la década de 1930, que supuso el abandono -parcial- de su propuesta decisionista. A continuación, se analizan las categorías de la teoría constitucional schmittiana a la luz de su aparato conceptual institucional. Se concluye que dichos conceptos, tal como son formulados en Teoría de la Constitución, no son compatibles con el institucionalismo schmittiano, lo que exige su reconceptualización.
Educación sexual: un derecho humano. Leyes vigentes en Argentina, Brasil, Paraguay y Uruguay
Authors: Cavazotti Aires Diogo
Published: June 2021

El estudio investiga cómo Argentina, Brasil, Paraguay y Uruguay trabajan la educación sexual en las leyes nacionales vigentes. El objetivo es analizar si los países antes mencionados siguen los parámetros y recomendaciones definidos en los tratados internacionales. Partiendo de la Declaración Universal de Derechos Humanos a documentos más recientes, la educación fue tratada como una prioridad en la infancia y la adolescencia, con el propósito de promover el desarrollo de la personalidad integral del ser humano. Esto incluye la atención a la enseñanza de la sexualidad como una forma de proporcionar condiciones para el acceso a la información, la salud pública y el crecimiento personal, profesional y económico. Esto convierte el tema en una acción estratégica de los derechos humanos, con un sesgo para promover el bienestar, el respeto y la ciudadanía a través de una vida sana, segura y productiva.
Seguridad regional en el Mercosur: tratados y mecanismos de cooperación para combatir la criminalidad transnacional
Authors: Fabeiro Valentina , Veloso Paulo Potiara de Alcântara , Kalb Christiane
Published: June 2021

Ante el avance de la delincuencia en el territorio del Mercosur, los países del bloque encararon la necesidad de desarrollar acciones específicas para combatirla. Así, los miembros del Mercosur comenzaron a desarrollar instrumentos, como convenios y acuerdos internacionales firmados multilateral y bilateralmente, con el fin de promover una cooperación policial más efectiva para combatir el crimen organizado transnacional, especialmente en lo que respecta a los delitos de narcotráfico, armas y contrabando. Utilizamos el método hipotético-deductivo e histórico-comparativo para desarrollar la investigación. Buscamos analizar la aplicabilidad de los acuerdos de seguridad regional y cooperación policial elaborados en el ámbito del Mercosur. Para ello, investigamos temas específicos como el tiempo transcurrido entre la redacción y entrada en vigencia de los tratados y el proceso de incorporación de las normas del Mercosur a los ordenamientos jurídicos nacionales de cada país. Concluimos que el gran obstáculo para la cooperación se debe, en primer lugar, al hecho de que la cooperación tiene un carácter represivo y se centra en acciones clásicas de control del delito, factor que no abarca la dimensión y capacidad de actuación de la red del crimen y, en parte, debido a la complejidad del sistema y la falta de armonización entre las legislaciones de cada país, lo que afecta directamente a la aplicación de los acuerdos. Veremos que quizás la adopción de la supranacionalidad sea ideal para profundizar la integración regional y la coherencia sistémica del bloque, armonizando la legislación, sin tantos obstáculos para la incorporación de las normativas internacionales.
PREDICTORS OF MORTALITY IN CHILDREN WITH CYSTIC FIBROSIS
Authors: Kaur Hardeep , Pandey Shivam , Jat Kana , LODHA RAKESH , Kabra Sushil
Published: June 2021

Background: There is a lack of studies on outcomes in cystic fibrosis
(CF) in children from developing countries like India. Identifying risk
factors for mortality may help identify the high-risk group and plan
policy management of such patients. Objective: To determine the factors
associated with outcomes among Indian children with CF. Design:
Retrospective analysis of data collected from January 2010 to Dec 2020.
Setting: Tertiary care hospital in Northern India. Participants:
Children diagnosed with CF during the study period. Methods: We
extracted data related to demography, clinical features, laboratory data
and outcome from children’s medical records with CF. Bivariate and
multivariate analysis was performed to identify variables associated
with mortality. Results: We enrolled 178 children, and there were 32
(18.0%) deaths. Significant factors associated with mortality included
history of neonatal complications; hazard ratio (HR): 8.5 (95% CI, 3.0
- 23.9, p < 0.001), low Z-scores for body mass index (BMI) at
the time of diagnosis; HR: 7.1 (95% CI 2.3 - 22.0, p <
0.001), FEV1/FVC at the time of diagnosis; HR: 5.1 (95% CI, 1.65 -
15.4, p-value < 0.004), and FEV1 25-75; HR: 3.6 (95% CI, 1.1-
11.8, p-value = 0.03). Conclusions: Factors associated with increased
risk of mortality included presence of neonatal complications, low BMI
and lower pulmonary function test results. Low BMI and low PFT indices
are modifiable and possibly can be improved by early diagnosis. A
new-born screening test may help in early diagnosis and identification
of the neonatal problem of CF.
An Overview of Noninvasive Ventilation in Cystic Fibrosis
Authors: JOBANPUTRA AESHA , Jagpal Sugeet , Marulanda Paula , RAMAGOPAL MAYA , SANTIAGO TEODORO , Naik Sreelatha
Published: June 2021

Noninvasive ventilation (NIV) use was initially reported in cystic
fibrosis (CF) in 1991 as a bridge to lung transplantation, and over the
decades the use of NIV has increased in the CF population. Individuals
with CF are prone to various physiologic changes as lung function
worsens, and they may benefit from NIV for advanced lung disease. As
life expectancy in CF has been increasing due to advances such as highly
effective modulator therapy, people with CF are now subject to the same
co-morbidities that may benefit from NIV as their age matched cohorts.
NIV can improve gas exchange, quality of sleep, exercise tolerance and
augment airway clearance in CF, and it is important that CF providers
are comfortable with this therapeutic modality. In this review, we will
summarize the physiologic basis for NIV use in CF, describe indications
for initiation of NIV, and postulate a practical approach for CF
clinicians to take fin monitoring patients on NIV. We will discuss
aspects unique to people with CF and the use of NIV. We hope that this
serves as a resource for CF providers, especially those of us who do not
have dedicated training in sleep medicine, as we continue to care for
our patient population.
Impact of Nutritional Assessment on Long-Term Outcomes in Patients with Carotid Artery Stenting
Authors: Demir Muhammed , Ozbek Mehmet
Published: June 2021

Objective: Malnutrition is associated with poor clinical outcomes in
many diseases. The Controlling Nutritional Status (CONUT) is an
objective index used for evaluating nutritional status of hospitalized
patients. The aim of this study was to investigate the relationship
between malnutrition assessed by CONUT score and the prognosis in
patients undergoing carotid artery stenting (CAS). Methods: The study
included 170 patients who underwent CAS due to symptomatic or
asymptomatic severe carotid artery stenosis. Median follow-up period was
50 (interquartile range [IQR], 41-60) months. Patients were divided
into two groups according to the CONUT score: (i) normal nutrition
(<2) and (ii) malnutrition (≥2). Primary endpoint was accepted
as MACE (major adverse cardiac events) including all-cause death and
ischemic stroke. Results:The prevalence of MACE was significantly higher
in the malnutrition group (p=0.001). Kaplan Meier analysis showed lower
survival rates in the malnutrition group (log rank = 9.36, p=0.002;
Figure 4). In multivariate logistic regression analysis, age and CONUT
score were independent predictors of all-cause death and stroke after
adjustment for confounding factors, respectively, (OR: 1.058, 95% CI:
1.013-1.105, p=0.011, OR: 1.318, 95% CI: 1.017-1.881, p=0.039).
Conclusion: Higher CONUT scores were associated with adverse outcomes in
patients with CAS. Malnutrition assessed by the CONUT score may provide
valuable prognostic information in patients with CAS.
Is the Treadmill Test Safe When Performed Using a Surgical Mask and Are Its Results Reliable In Terms Of Diagnosis?
Authors: Aydın Fatih
Published: June 2021

Aim: Mask use has a substantial role in reducing the spread of COVID-19
in confined spaces. However, the use of masks is controversial in cases
where intense effort is required, such as the treadmill exercise test.
Since the majority of subjects undergoing this test are elderly
individuals with comorbidities, the safety and reliability of the test
are critical matters that must be elucidated in the post-COVID-19 era.
In this study, the safety of the treadmill exercise test performed using
a mask and the diagnostic reliability of the test were questioned.
Methods: In our clinic, before March 11, 2020, treadmill exercise tests
were performed without a mask; whereas, after this date, patients were
supplied with a standard surgical mask during the test. These two groups
were compared with regard to various characteristics to assess
diagnostic reliability and safety. Results: The diagnostic reliability
and the safety of the stress test performed with a mask was found to be
similar to that of tests performed without a mask. However, we noted
that shortness of breath was more common in the mask-wearing group.
Conclusion: The treadmill exercise test performed by wearing surgical
masks is safe and its results are reliable for diagnosis.
Dual Solutions of Casson nanofluid flow due to an Exponentially porous Stretching Surface with a Second-order Slip: Stability Analysis
Authors: Dey Debasish , BORAH RUPJYOTI
Published: June 2021

An analysis has been done to scrutinize the existence of dual solutions
of the Casson nanofluid caused due to an exponential form of stretching
surface which is situated in porous medium and second order velocity
slip. An uniform magnetic field is considered in the transverse dirction
of the flow. A suitable similarity transformation is employed to amend
the model equations into solvable form and hence solved by adopting the
MATLAB built-in bvp4c solver scheme. Results are discussed through both
graphical mode and tabulations with respect to some novel flow
parameters. The stability analysis has been studied and found two
solutions, one is stable in nature and physically tractable. From the
study, we have seen that the flow parameters associated with nanofluid
enhance the heat transfer of the fluid. The Casson fluid parameter has
also a power to increase temperature of the system.
Abundant novel solitary wave Solutions of two-mode Sawada-Kotera model and its Applications
Authors: Oad Ammar , Arshad Muhammad , Shoaib Muhammad , Lu Dianchen , Xiaohong Li
Published: June 2021

The Sawada-Kotera equations illustrating the non-linear wave phenomena
in shallow water, ion-acoustic waves in plasmas, fluid dynamics etc. In
this article, the two-mode Sawada-Kotera equation (tmSKE) occurring in
fluid dynamics is addresses. The improved F-expansion and generalized
exp$(-\phi(\zeta))$-expansion methods
are utilized in this model and abundant of solitary wave solutions of
different kinds such as bright and dark solitons, multi peak soliton,
breather type waves, periodic solutions and other wave results are
obtained. These achieved abundant novel solitary and other wave results
have significant applications in fluid dynamics, applied sciences and
engineering. By granting appropriate values to parameters, the
structures of few results are presented in which many structures are
novel. The graphical moments of few solutions helps the engineers and
scientist for understanding the physical phenomena of this model. To
explain the novelty between the present results and the previously
attained results, a comparative study has been carried out. Furthermore,
the executed techniques can be employed for further studies to explain
the realistic phenomena arising in fluid dynamics correlated with any
physical and engineering problems.
Spectrum of Heart Diseases at a referral tertiary care hospital in Somalia, Mogadishu: An echocardiographic study
Authors: Alıcı Gökhan , Genç Ömer
Published: June 2021

Objective: To investigate the frequencies and patterns of cardiovascular
diseases (CVD), assessed by echocardiographic examinations in Mogadishu,
the capital of Somalia. Material and Methods: This retrospective,
descriptive registry reviewed the pathological echocardiographic
findings of 1140 patients aged 0-100 years who were admitted to the
cardiology outpatient clinic in a tertiary training hospital in
Mogadishu. Results: Out of the 6782 patients reviewed, 1140 patients who
met the inclusion criteria were enrolled in the study. Hypertensive
heart disease (HHD) (39.8%) and degenerative valvular disease (34.6%)
were the most common comorbidities. Congenital heart diseases (CHD)were
detected in 13.2% of the patients, with the most common ones including
atrial septal defect (ASD) (3.2%) and ventricular septal defect (VSD)
(2.3%). Rheumatic heart disease (RHD) was detected in 84 (7.4%)
patients, among whom the most common age range was 21-30 years (28.6%),
followed by 31-40 years (25%) and 11-20 years (19.1%). Conclusion: In
the present study, we found that HHD was the most common comorbidity
(39.8%), followed by degenerative valvular disease (34.6%), HFrEF
(%30.8), and IHD (24.4%). Moreover, the most common valvular disease
was mitral insufficiency (47.5%) and the most common CHD was
ASD(3.2%).
First ‘One-Health’ study on genome-wide comparison of multidrug-resistant Escherichia coli from Human-Animal-Aquaculture-Environment continuum: a collective effort from six institutes of India
Authors: Shome B , Ojha Rakshit , Mendem Suresh , Murugesan Devi , Sivaraman Gopalakrishna , Sajeev Sudha , Ghatak Sandeep , Phukan Chimanjita , Hazarika Suranjana Chaliha , Dubal Zunjar , Ahammad Shaikh Ziauddin , Shome Rajeswari , Raisen Claire , Holmes Mark
Published: June 2021

Summary: Antibiotic-resistant bacteria are emerging threat to
the global public health. Estimates suggests >10 million
deaths by 2050 due to AMR alone. Six Indian institute collaborated along
with 4 UK universities to address the issue of antimicrobial resistance
(AMR) through One Health approach under NEOSTAR project jointly funded
by Department of Biotechnology (DBT), Government of India and UK
Research and Innovation (UKRI), United Kingdom. To address a question
“Dose AMR in livestock contributes to AMR in people? A pilot study was
conducted which is a collaborative effort to collect archival microbial
isolates of Escherichia coli, Klebsiella spp.,
Staphylococcus aureus and coagulase negative S. aureus
(CoNS). The current study deals with E. coli isolates collected
from ICAR-NIVEDI, ICAR-CIFT, ICAR-IVRI, ICAR-RCNEH, IIT-Delhi and GMCH
and were subjected to QC analysis at ICAR-NIVEDI’s BSL2+ facility, these
isolates were further segregated into 5 components viz., Animal origin
(including aquaculture) (n=50) food of animal origin (n=30), Human
(community settings) (n=3), Hospital origin (n=15) and Environment
origin (n=14). A total of 112 E. coli isolates sequenced for
whole genome through Illumina’s HiSeq 2500 platform at Sangers
Institute, UK and paired end libraries were generated for all the 112
isolates were assembled and subjected to genome characterization and
gene mining through various bioinformatics tools revealed the frequency
of resistance, co-resistance, and resistant genes are high and similar
across Human-Animal-Aquaculture-Environment continuum in India. This
emphasizes the need to collaborate and mitigate antibiotic resistance
with a ‘One Health’ approach.
Combined Index of Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Predict Recurrence After Radical Resection in Gastrointestinal Stromal Tumors: a propensity scores matching analysis
Authors: Zhao Zhou , Yin Xiaonan , Wang Jian , Chen Xin , Cai Zhaolun , Zhang Bo
Published: June 2021

The combined index of hemoglobin, albumin, lymphocyte, and platelet
(HALP) can reflect systemic inflammation and nutritional status
simultaneously, with some evidence revealing its prognostic value for
some tumors. However, the effect of HALP on recurrence-free survival
(RFS) in patients of gastrointestinal stromal tumors (GISTs) has not
been reported. Therefore, the present study aimed to investigate the
prognostic value of HALP in GIST patients. Methods Data from 591
untreated patients who underwent R0 resection for primary and localized
GISTs at West China Hospital between December 2008 and December 2016
were included. Clinicopathological data, preoperative albumin, blood
routine information, postoperative treatment, and recurrence status were
recorded. To eliminate the baseline inequivalence, the propensity scores
matching (PSM) method was introduced. The relationship between RFS and
preoperative HALP was investigated. Results The optimal cutoff value for
the HALP was determined by the x-Tile analysis at 31.5. HALP was
significantly associated with tumor site, tumor size, mitosis, Ki67, NIH
risk category and adjuvant therapy (all P<0.001). Before PSM,
GIST patients with an increased HALP had a significantly poor RFS (P
< 0.001), and low HALP was an independent risk factor for poor
RFS (HR=0.0551, 95% CI: 0.313 - 0.968, P=0.038). In NIH high-risk GIST
patients, GIST patients with low HALP had a worse RFS than patients with
high HALP (P<0.05). After PSM, 188 pairs of GIST patients were
identified, GIST patients with an increased HALP still had a
significantly poor RFS after PSM (P<0.001), and low HALP was
still an independent risk factor for poor RFS (HR=0.585, 95% CI: 0.316
- 0.972, P=0.042). Conclusions HALP had a statistically significant
correlation with postoperative pathology and postoperative treatment.
Furthermore, HALP has a strong ability to predict the RFS in GIST
patients with radical resection.
Pregnancy-related changes in Doppler gradients and left ventricular mechanics in women with subvalvular or valvular aortic stenosis.
Authors: Chang Soohyun , Khakh Parm , Janzen Mikyla , Kiess Marla , Rychel Valerie , Grewal Jasmine
Published: June 2021

Background: The aim of our study was to characterize echocardiographic
changes during pregnancy in women with known LVOT obstruction or AS
compared to the healthy pregnancy controls, and to assess the
relationship with pregnancy outcomes. Methods: We retrospectively
studied 34 pregnant patients with congenital LVOT obstruction or AS with
healthy age-matched pregnant controls. Patients with other significant
valvular lesions, structural heart disease (LVEF <40%), or
prior valve surgery were excluded. All LVOTO/AS patients underwent a
minimum of 2 consecutive echocardiograms between 1 year pre-conception
up to 1 year postpartum, with at least 2 studies during the pregnancy.
Comprehensive echocardiographic evaluation was performed including
speckle-tracking LV global longitudinal strain. Results: A total of 83
echocardiograms from the study group and 34 echocardiograms from the
control group were evaluated. Over the range of LVOTO/AS, a
significantly greater increase in the AV gradients and LV and LA volumes
were observed as compared with the controls. In the sub-group of
LVOTO/AS pregnant women with > moderate (n=8) vs.
Exposure-Response Relationships for Efficacy and Safety of Filgotinib and its metabolite GS-829845 in Subjects with Rheumatoid Arthritis Based on Phase 2 and Phase 3 Studies
Authors: Meng Amy , Anderson Kacey , Nelson Cara , Ni Liyun , Chuang Shu-Min , Bellanti Francesco , Chang Peter , Comisar Craig , Kearney Brian , Bartok Beatrix , Mathias Anita
Published: June 2021

Aims:Filgotinib is a potent, oral, JAK1-preferential inhibitor for the
treatment of rheumatoid arthritis (RA). This report describes
exposure-response (ER) analyses of filgotinib for dose confirmation
based on three Phase 3 and two Phase 2 studies in moderate to severe RA
patients. Methods:The PK exposures used in ER analyses were derived from
population pharmacokinetic analysis. The relationship between filgotinib
exposures and various efficacy endpoints (ACR20/50/70 and DAS28) was
assessed over octile groups of exposures by using combined exposures of
filgotinib and GS-829845 (major, active metabolite). For the ER analyses
of safety, exposures were examined between subjects who experienced and
who did not experience the evaluated safety events, which was conducted
separately for filgotinib and GS-829845. Results:Exposure efficacy
relationships consistently revealed high response rates across the
exposure range for filgotinib 200 mg once daily dose. A trend of
increasing response with increasing exposure was observed over the
exposure range for the primary and multiple secondary efficacy
endpoints, with exposures associated with the 200 mg dose primarily
residing on the curve plateau. For exposure-safety analyses, filgotinib
and GS-829845 exposures were similar irrespective of presence/absence of
the evaluated safety endpoints, indicating no exposure-safety
relationship for common TEAEs, common laboratory abnormalities, serious
TEAEs, or serious infections. Conclusions:ER analyses confirmed that
filgotinib produced more robust therapeutic effects across the exposure
range observed at 200 mg once daily compared to lower doses. The
positive exposure-efficacy relationship and a lack of exposure-safety
relationship on the evaluated safety endpoints supported the 200 mg once
daily dose for commercialization.
Systematic extended posterior right-sided sectionectomy with resection of subsegment IX
Authors: Burlaka Anton , Gogo-Abite Awofaa , Paliichuk Ariadna , Makhmudov Dmutro , Zvirych Vitalii , Lukashenko Andrii
Published: June 2021

Parenchymal sparing surgical (PSS) strategy allowed to plan a one-stage
systemic extended posterior right sectionectomy with resection of the
dorsal subsegment S1 in patient with 11 bilobar CRC metastases. PSS
liver surgery has the greatest potential for implementation in modern
medicine conditions.
Neurologic outcome after aortic arch repair with frozen elephant trunk: The pivotal role of hypothermic circulatory arrest time
Authors: Mousavizadeh Mostafa , Bashir Mohamad , Idhrees Mohammed , Daliri Mahdi , Aljadayel Hadi Abo , Rezaei Yousef , Hosseini Saeid
Published: June 2021

This is response to a letter, so it does not contain structured
abstract.
A CASE OF TUBERCULOSIS LYMPHADENITIS MIMICKING GASTRIC TUMOR
Authors: Hadded Dhafer , Zouaghi Alia , MESBAHI MERYAM , Benzarti Yazid , Bellil Nawel , Benzarti Zeineb , Maamer Anis Ben
Published: June 2021

Tuberculosis of the upper gastrointestinal tract is a rare pathology.
Stomach tuberculosis, particularly, can appear as a subepithelial
gastric tumor. We describe a case of a Patient with tuberculous
intraperitoneal lymphadenitis mimicking the submucosal gastric tumor. An
exploratory laparotomy was performed, and the diagnosis was confirmed by
frozen section examination.
Utility of Eustachian valve for facilitating ASD device closures in defects with borderline mitral rims
Authors: Kurup Harikrishnan , Gopalakrishnan Arun , Sasikumar Deepa , Gurajala Venkatesh , Krishnamoorthy Kavasseri
Published: June 2021

A prominent Eustachian valve in the right atrium has been reported to
pose significant challenges during device closure of atrial septal
defects. We describe the procedural aspects of device closure in an ASD
with deficient rims and a redundant Eustachian valve. The prominent
Eustachian valve provided extra stability in the anteroinferior aspect
during device deployment and hence proved to be helpful for the
procedure. It is important to consider this aspect while planning device
closure
A Survey of Therapeutic Drug Monitoring status in China
Authors: Yan Liang , Qi Huang , Zhou Bo-Ting , Yin Tao , Tang Mimi , lou Jiang , Dong Xiang
Published: June 2021

In order to comprehensively understand the current situation of
therapeutic drug monitoring in China, a questionnaire survey was
conducted among doctors, pharmacists and laboratory doctors in hospitals
at all levels by using Internet technology and mobile phone client.
ANALISIS PENGARUH SPACING ANTAR ELEMEN TERHADAP GAIN PADA ANTENA YAGI 5 ELEMEN FREKUENSI 2,4 GHz
Authors: Saputra Ade , Hanesman Hanesman , Sukaya Sukaya
Published: June 2021

This research was motivated by a relatively small laptop power receives Wi-Fi signals, so it needs a directional antenna that has a high gain Yagi antenna like. This research is to: demonstrate the effect of spacing between elements to Yagi antenna gain, get the fixed spacing, knowing gain of Yagi antenna being tested and how much spacing between elements effect to gain enhancement statistically. This research use Gain Comparison Method. It is performed by CST Studio Suite simulation and measurements on 3 measurement points (TP), in a free barrier room, prevented plywood, and walled. Minimum and maximum of Spacing is 0,05λ and 0,35λ. The analysis showed: (1) Changes the spacing between elements of Yagi antenna using CST Studio Suite and the design of the AUT antenna proven effect on the gain. Changing the minimum space to maximum increase the gain untill the optimal space, then decreased. (2) The fixed spacing settings by optimal space. Space-1 optimal of simulation is 0,115λ; 0,205λ for space-2; 0,2λ for space-3, and 0,22λ for space-4. Space-1 optimal of Yagi AUT  is 0,127λ, space-2 = 0,201λ, space-3 = 0,196λ, and space-4 = 0,22λ. (3) Simulastion result has gain 9,8 dB, Yagi AUT has 9,68 dB, and the commercial Yagi antenna by 14 elements has 11,84 dB. (4) The regression coefficient for space-1 (X1) is  -58,534 <distance coefficient of signal source to TP (X2). Space-2 (X1) coefficients = -12,53 < X2 coefficient = -12,543. Space-3 (X1) coefficients = 0,72 > X2 coefficient = -1,289. Space-4 (X1) coefficients = 30,939 > X2 coefficient = -1,332. Keywords : Spacing of Elements, Gain, Yagi Antenna, Gain Comparison Method, CST Studio Suite
ANALISIS KUALITAS LAYANAN PORTAL kemahasiswaan.ft.unp.ac.id MENGGUNAKAN METODE WEBQUAL 4.0 (Studi Pada Mahasiswa Fakultas Teknik Universitas Negeri Padang Sebagai Pengguna Portal Kredit Ekstrakulikuler)
Authors: Muthmainnah Siti , Slamet Legiman , Sriwahyuni Titi
Published: June 2021

Portal kemahasiswaan.ft.unp.ac.id as information service provider on student’s credit points should’ve good quality on services, not only in information but also in interactions between user and interface on between user and admin. This research aims to provide how good the service quality which give of portal in fulfill student’s necessary. The method used is webqual 4.0 method that includes four dimensions that is usability dimension, information quality, quality of services interaction and overall. Sampel of the researchis 98 students. Sampel determining by random and proportional levels. Data were collected throught a questionnaire. Containing statements about student’s perceptions of portal. The data will be processed to obtain the webqual index (WQI) values which use to determining the value of service quality. The analysis showed that the service quality of portal kemahasiswaan.ft.unp.ac.id is good which value of webqual index (WQI) scale is 0,73. The value of each dimension are usability is 0,75; information quality is 0,73; quality of services interaction and overall is 0,71. The factors that influence service quality of portal is usability dimension, it seen by value of WQI scale is 0,75.  Keywords: WIFI@UNP, Fuzzy-Servqual, gap.
PENGEMBANGAN SISTEM INFORMASI KEPEGAWAIAN BERBASIS WEB PADA MAN 1 PADANG
Authors: Harisca Rendy , Huda Asrul , Slamet Legiman
Published: June 2021

Information Systems serve as a tool for managing palayanan in the organization to be more accurate, effective and efficient. In MAN 1 Padang TU Head is still difficult to manage employee data because there is no database management that can store, process, and maintain the integrity of personnel data. To improve the service in MAN 1 Padang is in need Civil Service Information System-based web that is able to manage personnel services, from employee data input process, employee leave process, employee mutation process and employee retirement process are mutually integrated as a whole.          This design is implemented with PHP programming language with MySQL database and CodeIgniter framework. In the system design involved Use Case diagrams, Activity diagrams, Context Diagrams, flowmap, Normalization and Entitiy Relationship Diagram. This system involves 3 users ie Employee, Admin, and Principal. The three levels of registered users have a private account to enter into the system ie username and password for the admin and principal while the employee enters by using NIP and Password with MD5 encryption.          This personnel information system produces web-based applications that can help Administrative Officers in improving the effectiveness and efficiency in the implementation of personnel management activities as well as displaying actual information in the form of employee data reports, employee pension information, history of employee mutation and employee leave history. Keywords: Human Resources Information System, PHP, MySQL database,                    CodeIgniter framework.
Artificial Generation of Realistic Voices
Authors:   Department of Electronics and Telecommunication Engineering,  Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Mahajan Dhruva , Gapat Ashish ,   Department of Electronics and Telecommunication Engineering,  Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Moharkar Lalita ,   Department of Electronics and Telecommunication Engineering,  Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Sawant Prathamesh ,   Department of Electronics and Telecommunication Engineering,  Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Dongardive Kapil ,   Department of Electronics and Telecommunication Engineering,  Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India
Published: June 2021

In this paper, we propose an end-to-end text-to-speech system deployment wherein a user feeds input text data which gets synthesized, variated, and altered into artificial voice at the output end. To create a text-to-speech model, that is, a model capable of generating speech with the help of trained datasets. It follows a process which organizes the entire function to present the output sequence in three parts. These three parts are Speaker Encoder, Synthesizer, and Vocoder. Subsequently, using datasets, the model accomplishes generation of voice with prior training and maintains the naturalness of speech throughout. For naturalness of speech we implement a zero-shot adaption technique. The primary capability of the model is to provide the ability of regeneration of voice, which has a variety of applications in the advancement of the domain of speech synthesis. With the help of speaker encoder, our model synthesizes user generated voice if the user wants the output trained on his/her voice which is feeded through the mic, present in GUI. Regeneration capabilities lie within the domain Voice Regeneration which generates similar voice waveforms for any text.
Human Detection in Video Surveillance
Authors:   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Khanvilkar Sushama , Gupta Santosh ,   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Rane Hinal ,   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Galbaw Calvin ,   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India
Published: June 2021

Recognition of the human activities in videos has gathered numerous demands in various applications of computer vision like Ambient Assisted Living, intelligent surveillance, Human-Computer interaction. One of the most pioneering techniques for Human Detection in Video Surveillance based on deep learning and this project mainly focuses on various approaches based on that. This paper provides an idea of solution to use video surveillance more effectively, by detecting any humans present and notifying the concerned people. The deep learning model, preferred for fast computation, Convolution Neural Network is used by stacking 3 blocks of layers on fully connected layers. This provided an identification of humans and naïve approach to eliminate inanimate human like objects such as mannequins.
Stone, Paper, Scissors Mini-Game for AI Pet Robot
Authors:   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Aspat Aditya , Lemos Elton ,   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Ghoshal Abhishek ,   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India
Published: June 2021

The Artificial Intelligence (AI) Pet Robot is a combination of various fields of computer science. This paper showcases the various functionalities of our AI Pet. Most of the functionalities showcased use the immage processing modules made available through OpenCV. The pet robot has various features such as emotion recognition, follow routine, mini-game etc. This paper discusses the mini-game aspect of the robot. The game has been developed by using VGG16 convolutional network for identification of the action performed by the user. To improve the accuracy we have made use of background subtraction which gives removes all the unwanted objects from the background and gives a simple cutout of the users hand.
IoT Based Smart Classroom
Authors:   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Kadepurkar Prajas , Dsouza Prim ,   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Jomichan Nivya ,   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India
Published: June 2021

A classroom is a place where there is always room for development; therefore just as the development for a student results in the ease of living, similarly a smart classroom focuses on the structural development leading to effective time and energy utilization. This project offers three major upgradation in classroom; the first being able to book a classroom dynamically using Raspberry Pi and toggling lights and fans using NodeMCU and a mobile application which also helps notify a student about the subject of the lecture, the time and the venue related to the commencement of a period. The second section of this project inputs the attendance of a student check in, using a portable real-time biometric system whose data can further be used to calculate the attendance statistics of each student which can be viewed by the respective student or the teachers can keep a track on their own assigned class using the mobile application. And the last part of the project focuses on keeping track of all the lights and fans, which are on after the lecture. After the lecture is done, it will check the status of the room, whether some other teacher for some other subject is using the lecture hall. Also when the teacher ends the class, the lights and fans will be switched off after 5 minutes buffer provided for the students to checkout. It will wait for 15 minutes and if it still does not receive any request then it will switch off the lights and fans of that particular lecture hall.
OpenCV Image Processing for AI Pet Robot
Authors:   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Ghoshal Abhishek , Aspat Aditya ,   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India, Lemos Elton ,   Department of Computer Engineering, Xavier Institute of Engineering, Mahim, Mumbai, Maharashtra, India
Published: June 2021

The Artificial Intelligence (AI) Pet Robot is a culmination of multiple fields of computer science. This paper showcases the capabilities of our robot. Most of the functionalities stem from image processing made available through OpenCV. The functions of the robot discussed in this paper are face tracking, emotion recognition and a colour-based follow routine. Face tracking allows the robot to keep the face of the user constantly in the frame to allow capturing of facial data. Using this data, emotion recognition achieved an accuracy of 66% on the FER-2013 dataset. The colour-based follow routine enables the robot to follow the user as they walk based on the presence of a specific colour.
Frequency Distribution Fitting for Electronic Documents
Authors:   Marquette University, Milwaukee, Wisconsin, U.S.A., Kulandai Arockia David Roy ,   St. Xavier’s College (Autonomous), Ahmedabad, Gujarat, India
Published: June 2021

Studies of frequency distributions of natural language elements have identified some distributions that offer a good fit. Using electronic documents, we show that some of these distributions cannot be used to model the frequency of bytes in electronic documents even if these documents represent natural language documents.
Effects of the Existence of Fan in the Wood Drying Room and the Performance of the Electric Energy Wood Dryer
Authors:   Department of Mechanical Engineering, Faculty of Science and Technology, Sanata Dharma University, Yogyakarta, Indonesia, Kusbandono Wibowo , Purwadi Petrus Kanisius ,   Department of Mechanical Engineering, Faculty of Science and Technology, Sanata Dharma University, Yogyakarta, Indonesia
Published: June 2021

The purpose of this study is to determine the effect of the presence of a fan in the wood drying room in the drying time of wood. In addition, it is also to determine the performance of the steam compression cycle engine used in wood drying machines and the conditions of air entering and leaving the wood drying room. Wood drying machines work on a source of electrical energy. The research was conducted experimentally. Variations in the study were carried out on the presence of fans in the drying room: (a) there were no fans and (b) there were 2 fans. The dried object is a sengon wood board, which has a length of 2 m, a width of 20 cm, and a thickness of 2 cm. The number of wooden planks is 70 wooden planks of uniform size. The wooden planks before drying have a moisture content of 29.6%, and when dry, have a moisture content of 10%. The research gave the following results: (a) if there are 2 fans in the drying room, the time needed to dry the sengon wood planks is around 42.6 hours, whereas if there is no fan around 49.9 hours (b) the average Coefficient of Performance (COP) of the steam compression cycle engine is 10.65 (c) The air condition enters the drying room when there are 2 fans, has a dry ball air temperature of 40oC with a relative humidity of 32% RH and the air condition when it comes out, has a dry ball air temperature of 28oC with a relative humidity of 73% RH.
Effects of Shock Wave Phenomenon on Different Convergent Lengths in the Mixing Chamber of the Steam Ejector
Authors:   Department of Mechanical Engineering, Faculty of Science and Technology, Sanata Dharma University, Yogyakarta, Indonesia, Mardikus Stefan
Published: June 2021

The shock wave phenomenon is a phenomenon in a steam ejector that caused when the working fluid has high pressure, and suddenly it turns into low pressure and high speed. The shock wave effect will be investigated to the different convergent length in the mixing chamber to find the highest entrainment ratio as the performance of steam ejector. Operating pressure in the primary flow was in the range 0.68 MPa - 1.39 MPa, and the secondary flow was set 0.38 MPa to 0.65 MPa. The result of this study demonstrated that the highest entrainment ratio occurred in the convergent length of 69 mm.
Identity Graph of Finite Cyclic Groups
Authors:   Department of Mathematics, Faculty of Science and Technology,  Sanata Dharma University, Yogyakarta, Indonesia, Herawati Maria Vianney Any , Henryanti Priscila Septinina ,   Department of Mathematics, Faculty of Science and Technology,  Sanata Dharma University, Yogyakarta, Indonesia, Aditya Ricky ,   Department of Mathematics, Faculty of Science and Technology,  Sanata Dharma University, Yogyakarta, Indonesia
Published: June 2021

This paper discusses how to express a finite group as a graph, specifically about the identity graph of a cyclic group. The term chosen for the graph is an identity graph, because it is the identity element of the group that holds the key in forming the identity graph. Through the identity graph, it can be seen which elements are inverse of themselves and other properties of the group. We will look for the characteristics of identity graph of the finite cyclic group, for both cases of odd and even order.