bluuebunny/crossref_metadata_2025 huggingface dataset:
Psychosocial Factors at Work and Menstrual Disorders: a Protocol for a Systematic Review and Meta-analysis
Authors: Sasaki Natsu , Imamura Kotaro , Watanabe Kazuhiro , Hidaka Yui , Ando Emiko , Eguchi Hisashi , Inoue Akiomi , Tsuno Kanami , Komase Yu , Iida Mako , Otsuka Yasumasa , Sakuraya Asuka , Asai Yumi , Iwanaga Mai , Kobayashi Yuka , Inoue Reiko , Shimazu Akihito , Tsutsumi Akizumi , Kawakami Norito
Published: February 2021

Introduction: Menstrual abnormalities, such as menstrual cycle disorders or related symptoms (e.g., pelvic pain, premenstrual syndrome [PMS], menopausal symptoms), affect female workers’ quality of life and work capacity. The fertility of female workers is also a worldwide concern. However, the association between psychosocial factors at work and menstrual abnormalities or fertility is not well understood. To address this relationship, we will conduct a systematic review and a meta-analysis of the literature that has utilized a longitudinal or prospective cohort design.Methods and analysis: The inclusion criteria for this systematic review and meta-analysis are defined as follows: (P) Adult female workers (over 18 years old), (E) Presence of adverse psychosocial factors at work, (C) Absence of adverse psychosocial factors at work, and (O) Any menstrual cycle disorders, menstrual-related symptoms, or fertility. MEDLINE, EMBASE, PsycINFO, PsycARTICLES, and Japan Medical Abstracts Society electronic databases will be used to search for published studies. The statistical synthesis of the studies included in the meta-analysis will be conducted to estimate pooled coefficients and 95% CIs. We will use the Risk of Bias in Non-randomized Studies-of Interventions (ROBINS-I) to determine the quality of selected studies. To assess meta-bias, Egger’s test, along with a funnel plot, will be used to check for publication bias. Lastly, we will examine heterogeneity using the χ² test with Cochran’s Q statistic and I2.Ethics and dissemination: The results and findings will be submitted and published in a scientific peer-reviewed journal and will be disseminated broadly to researchers and policymakers interested in the translatability of scientific evidence into good practices.Trial registration: The study protocol was registered at the UMIN registry (registration number: UMIN000039488). The registration date is 14th Feb 2020.URL: https://upload.umin.ac.jp/cgi-bin/ctr/ctr_view_reg.cgi?recptno=R000044704
Theoretical atomic radii of elements (H-Cm): A non-relativistic study with Gaussian basis set using HF, post-HF and DFT methods
Authors: Prasanna Krishnamohan G. , Sunil Sooraj , Kumar Ajith , Joseph James T.
Published: February 2021

We calculated the most probable radius of an atom for elements from H to Cm. The calculations were carried out by using non-relativistic, spin polarized, HF, MP2 and DFT methods with all electron Gaussian basis set. Periodicity of atomic radii was correlated with the experimental first ionization energies. This non-relativistic atomic radii were also compared with other theoretical atomic radii. With respect to the Dirac-Slater data, our values were in good agreement with the elements up to Sn. Relationship with van der Waals radii of noble gases was discussed. Anomalous properties of Gd and Pd were examined. Linearity of lanthanide contraction of elements with 4f electrons is illustrated. This linearity is found independent of the extent of electron correlation.
Decades of Internet of Things towards 21st Century: A Research-Based Introspective
Authors: BOOBALAKRISHNAN NAGAJAYANTHI
Published: February 2021

Internet connects people to people, people to machine, and machine to machine for a life of serendipity through a Cloud. Internet of Things networks objects or people and integrates them with software to collect and exchange data. The Internet of things (IoT) influences our lives based on how we ruminate, respond, and anticipate. IoT 2020 heralds from the fringes to the data ecosystem and panaches a comfort zone. IoT is overwhelmingly embraced by businessmen and consumers due to increased productivity and convenience. Internet of Things facilitates intelligent device control with cloud vendors like Amazon and Google using artificial intelligence for data analytics, and with digital assistants like Alexa and Siri providing a voice user interface. Smart IoT is all about duplex connecting, processing, and implementing. With 5G, lightning faster rate of streaming analytics is realistic. An amalgamation of technologies has led to this techno-industrial IoT revolution. Centralized IoT architecture is vulnerable to cyber-attacks. With Block Chain, it is possible to maintain transparency and security of the transaction's data. Standardization of IoT devices is achievable with limited vendors based on Platform, Connectivity, and Application. Robotic Process Automation (RPA) using bots has automated laborious tasks in 2019. Embedded Internet using Facial Recognition could reduce the pandemic crisis. Security concerns are addressed with micro-segmentation approaches. IoT, an incredible vision of the future makes systems adaptive with customized features, responsive with increased efficiency, and procurable with optimized cost. This paper delivers a comprehensive insight into the technical perspectives of IoT, focusing on interoperability, flexibility, scalability, mobility, security, transparency, standardization, and low energy.
A hybrid Meta-heuristic solution for Energy-Efficient routing in Software-Defined Wireless Sensor Network 
Authors: MISHRA POOJA , KUMAR NEETESH , GODFREY W WILFRED
Published: February 2021

Software-Defined Networking (SDN) has been adopted as an emerging networking paradigm within Wireless Sensor Networks (WSNs). SDN enables WSNs with self-configuration and programmable control to dynamically and efficiently manage the network functionalities. Generally, in WSN, smart sensing devices suffer from the low battery issue and they may be deployed in such environments where frequent recharge is not possible after the deployment. Therefore, this work focuses on energy-efficient routing problem considering Software-Defined Wireless Sensor Networks (SD-WSN) architecture. In SD-WSN, Control Server (CS) assigns the tasks to selected Control Nodes (CNs) dynamically. Thus, the CNs' selection process is developed as one optimization (NP-Hard) problem to make the network functional. To solve this problem effectively, a nature-inspired algorithm i.e., Grey Wolf Optimization (GWO) is hybridized with Particle Swarm Optimization (PSO) in order to improve its convergence and overall performance. This hybrid variant of GWO is dedicated to offering a Balanced clustering (BC) based routing protocol, this variant is referred to as HGWO-BC. Further, to solve the problem effectively, a fitness function is designed that considers several parameters e.g., intracluster distance, CS to CNs distance, nodes' residual energy, and cluster size. Thus, the proposed approach performs balanced, energy-efficient, and scalable clustering and prolongs the network life-time. To verify its effectiveness, an exhaustive simulation study is done. Comparative results show that the HGWO-BC approach outperforms other state-of-the-art approaches concerning network life-time, residual energy, network throughput, and convergence rate.
Clinical significance of the cachexia index in patients with small-cell lung cancer
Authors: Go Se-Il , Park Mi Jung , Lee Gyeong-Won
Published: February 2021

Background: Cancer cachexia worsens the treatment outcomes of patients with small-cell lung cancer (SCLC). However, no reliable biomarker of cancer cachexia is yet known.Methods: We retrospectively evaluated SCLC patients who received induction chemotherapy or concurrent chemoradiotherapy. The cachexia index (CXI) was calculated as the skeletal muscle index × serum albumin level (g/dL)/the neutrophil-to-lymphocyte ratio. Male and female cutoffs were defined based on a time-dependent receiver operating characteristic curve, and all patients divided into low- and high-CXI groups.Results: Of 302 patients, 94 and 208 had low and high CXI values, respectively. Only one patient (1.1%) in the low-CXI group achieved a complete response (CR), whereas 35 of 208 patients (16.8%) in the high-CXI group achieved CRs (p < 0.001). More low-CXI patients (compared to the high-CXI patients) required early discontinuation of treatment because of treatment-related toxicity (20.2% vs. 6.3%, p < 0.001) and experienced treatment-related mortality (8.5% vs. 2.9%, p = 0.031). The median progression-free survival (PFS) and overall survival (OS) were significantly poorer in the low-CXI group than in the high-CXI group (5.8 vs. 6.9 months and 8.3 vs. 15.6 months, respectively, both p < 0.001). These differences did not vary according to cancer stage. On multivariate analysis, a low-CXI status was an independent poor prognostic factor for both PFS and OS.Conclusion: A low CXI was associated with treatment intolerance, a poor treatment response rate, and a poor prognosis of SCLC.
Spielend soziale Inklusion fördern
Authors: Möhlen Lisa-Katharina , Handle-Pfeiffer Daniel , Schmölz Alexander , Proyer Michelle , Kremsner Gertraud
Published: February 2021

Dieser Beitrag beleuchtet, wie spielerische Pädagogik Inklusion befördern kann. Dazu wurden Spieleworkshops in (ausser-)schulischen Kontexten durchgeführt. Diese wurden methodisch mit diversen qualitativen Erhebungsinstrumenten begleitet und mittels der Dokumentarischen Methode ausgewertet. Die Analyse der erhobenen Daten zeigt, wie sich die Spielenden mit sozialen Differenzlinien wie Be-hinderung und Gender während des Spielens und in post game-based activities auseinandersetzen. Ausgehend davon sollen inklusionsfördernde Potentiale in spielerischer Pädagogik identifiziert werden. Es werden drei inklusionsbezogene Kompetenzen als Analysemerkmal verwendet: Reflektierende Debatte, Kreatives Denken und Konfliktlösungsstrategien. Zentrale Ergebnisse sind, dass Spielende im Spielgeschehen mit sozialen Differenzen konfrontiert werden. Dahingehend wird in den post game-based activities die Reflexion über Handlungen und Interaktionen in Bezug auf soziale Unterschiede forciert.
Conditioning of raw sludge and thermally hydrolyzed sludge by ferric salt and cationic polyacrylamide: rheological analysis
Authors: Duan Liqiang , Zhou Zhen , Dai Xiaohu
Published: February 2021

In this study, the conditioning effect of cationic polyacrylamide (CPAM) with different charge densities on raw sludge (RS) and thermo-hydrolyzed sludge (HS) pretreated with or without ferric salt is studied through orthogonal experiments. In addition, this paper uses the principles of rheology and morphology to analyze and clarify the conditioning mechanism of RS and HS, and reveals the mechanism of thermal hydrolysis to improve the dewatering performance of sludge. Compared with the RS, the HS has smaller particle size, better filterability, stronger fluidity and more obvious thixotropy. However, due to the influence of filter pressing time, ferric salt should be added before conditioning. The orthogonal experiment shows that the optimal conditioner is CPAM with charge density of 60, and the specific resistance to filtration and capillary suction time of the adjusted thermo-hydrolyzed sludge are reduced to (1.11 ± 0.07) × 1012 m/kg and 16.1 ± 1.8 s; the particle size increased from 61.2 to 253.5 μm. The moisture content of the sludge cake is about 48%. The structural strength and thixotropy of HS are higher than those of the RS, and can be greatly improved by adding ferric salt. Morphological analysis confirms that thermal hydrolysis can lyse microbial cells in sludge, and the sludge treated with ferric salt will have more porous structure and stronger flocculation strength.
Potential low-cost carbon-based adsorbent from gold mine tailings for anionic dye removal
Authors: Erturk Suheyl , Sari Yilmaz Muge , Piskin Sabriye
Published: February 2021

In this study, a mesoporous carbon (CMK-3) was successfully synthesized using mesoporous silica (SBA-15) prepared from gold mine tailings (sample CGMT) for removal of anionic dye from aqueous solution. For comparison, CMK-3 was prepared by the same method from pure silica (sample CT), and the other CMK-3 sample was prepared by a one-pot route mixing with Pluronic P123 (sample CP). The effect of the carbonization time on the synthesis of all CMK-3 samples was investigated, and the samples were characterized by X-ray diffraction and N2 adsorption–desorption. The sample with the highest surface area was chosen as an adsorbent, for each CMK-3 obtained from different methods. Batch adsorption experiments were studied to determine the influence of pH, contact time, and initial dye concentration. The adsorption kinetics obeyed the pseudo-second-order model. All carbon-based adsorbents were observed to be quite effective for the removal of dye with adsorption percentage in the order of CP > CT > CGMT. The maximum adsorption capacities were 188.99 and 204.57 mg·g−1 for CT and CGMT, respectively. The comparative results of all carbon-based adsorbents show that CGMT can be applied as a low-cost alternative to CT for dye removal.
Kształcenie przyszłych senatorów w Akademii Lubrańskiego w XVII i XVIII w.
Authors: Nowicki Michał
Published: February 2021

Zadaniem niniejszego opracowania jest ukazanie sytuacji edukacyjnej młodzieży magnackiego pochodzenia, zwłaszcza synów senatorów i przyszłych najwyższych urzędników państwowych w Akademii Lubrańskiego w latach 1613-1780. W tym celu analizie poddano potrzeby edukacyjne tej grupy społecznej oraz ofertę edukacyjną poznańskiej szkoły, wykorzystując różnorodne materiały źródłowe, w dużym stopniu literaturę panegiryczną, ukazując metody wychowawcze i wskazując na zachodzące w okresie oświeceniowym przemiany.
Między tradycją a nowoczesnością? Senat w Księstwie Warszawskim i Królestwie Polskim (wybrane problemy)
Authors: Ziółek Ewa
Published: February 2021

Artykuł omawia zagadnienie umiejscowienia senatu w systemie ustrojowym Księstwa Warszawskiego i Królestwa Polskiego i nawiązaniom do modelu tradycyjnego polskiego sejmu oraz innowacjom w tym systemie. Wynikały one z narzucenia modelu francuskiej legislacji w 1807 r., a potem konieczności podporządkowania się ustaleniom kongresu wiedeńskiego 1815 r. Obie konstytucje – Księstwa Warszawskiego i Królestwa Polskiego, narzucone z zewnątrz, miały na celu stworzenie ustroju odpowiedniego dla niesuwerennego państwa, wpisywanego w porządek tworzony przez mocarstwa europejskie. Mimo to w konstytucjach pojawiły się pewne odniesienia do polskiej tradycji ustrojowej, co miało raczej wymiar propagandowy wobec polskich poddanych.
Konwokacja senatu w 1608 roku
Authors: Opaliński Edward
Published: February 2021

Po zakończeniu w połowie października 1607 roku zjazdu rokoszowego pod Warszawą, rozpoczęły się wielomiesięczne zabiegi o doprowadzenie do pacyfikacji kraju. Dążyli do tego tak rokoszanie jak i regaliści, jednak obie strony starały się narzucić własne warunki. Przywódca rokoszu Mikołaj Zebrzydowski chciał, aby pojednanie odbyło się na konwokacji senatu, na której miało nie być monarchy. Dążył więc do pomniejszenia autorytetu Zygmunta III. Król poparty przez senat wymusił na rokoszaninie przeprosiny własnej osoby przed konwokacją senatu. Zebrzydowski wyraził ostatecznie zgodę ale kazał monarsze i senatowi czekać na swoje pojawienie się przeszło 40 dni.
An Updated Review on Therapeutic Potential and Recent Advances in Drug Delivery of Berberine: Current Status and Future Prospect
Authors: Mujtaba Md Ali , Akhter Md Habban , Alam Md. Sarfaraz , Ali Mohammad Daud , Hussain Afzal
Published: February 2021

Natural products are well known for their high potency with minimum side effects. Plant
extracts are the most commonly used natural products because of their ease of availability and
relatively low production cost. Berberine (BBR), a phytochemical component of some Chinese medicinal
herbs (most commonly Berberis vulgaris), is an isoquinoline alkaloid with several biological
and pharmacological effects including antioxidant, anti-inflammatory, antitumour, antimicrobial,
antidepressant, hepatoprotective, hypolipidemic, and hypoglycemic actions. Interestingly, multiple
studies have shown that BBR is a potential drug candidate with a multi-spectrum therapeutic application.
However, the oral delivery of BBR is challenged owing to its poor bioavailability. Therefore, its
oral bioavailability needs to be enhanced before it can be used in many clinical applications. This review
provides an overview of the various studies that support the broad range of pharmacological
activities of BBR. Also, it includes a section to address the issues and challenges related to the drug
and methods to improve the properties of BBR, such as solubility, stability and bioavailability that
may be explored to help patients reap the maximum benefit from this potentially useful drug.
Clinical and Quality of Life Differences in Patients with COPD With and Without a Background of Hospitalization in the Last Year
Authors: Betancourt-Peña Jhonatan , Ávila-Valencia Juan Carlos , Assis Jorge Karim , Escobar-Vidal David Alejandro
Published: February 2021

Introduction:

Chronic Obstructive Pulmonary Disease (COPD) is the fourth leading
cause of death worldwide. An upward trend is estimated by 2030. One of the causes of mortality is
the exacerbations of symptoms that result in hospitalizations. These hospitalizations reduce the
quality of life, limit performance in daily life, and increase the costs for the health system and the
patient.

Objective:

This study aimed to determine the differences between hospitalized and non-hospitalized
patients with a medical diagnosis of COPD, considering some sociodemographic and clinical
variables, and survival rates.

Methods:

A cross-sectional study was conducted, which included patients diagnosed with COPD
who initiated pulmonary rehabilitation (PR) from January to September 2018. The patients were divided
into two groups: patients with one or more exacerbations that led to the hospitalization
(COPD-H) and patients without hospitalizations in the last year (COPD-NH).

Results:

There were 128 participants (78 males and 50 females), with a mean age of 71.10±(9.34)
in the COPD-H group and 71.30±(8.91) in the COPD-NH group. When comparing both groups,
COPD-NH had a higher socioeconomic status (p=0.041), reporting a higher FEV1 44.71± (14.97),
p=0.047, and comorbidities according to the COTE index (p<0.001).

Conclusion:

The patients with the highest number of hospitalizations belonged to a lower socioeconomic
stratum and had a higher number of comorbidities. Therefore, it is necessary to identify these
factors at the beginning of PR.
An Integrated In Silico Approach to Develop Epitope-Based Peptide
Vaccine Against SARS-CoV-2
Authors: Srivastava Prachi , Garg Prekshi , Srivastava Neha
Published: February 2021

Background:

SARS-CoV-2 has been the talk of the town ever since the beginning of 2020. Every country is trying all possible steps to combat the disease ranging from shutting the complete economy of the country to the repurposing of drugs and vaccine development. The rapid data analysis and widespread tools have made bioinformatics capable of giving new insights to deal with the current scenario more efficiently through an emerging field, Vaccinomics.

Objective:

The present in-silico study was attempted to identify peptide fragments from spike surface glycoprotein of SARS-CoV-2 that can be efficiently used for the development of an epitope-based vaccine designing approach.

Methodology:

The epitopes of B and T-cell are predicted using integrated computational tools. VaxiJen server, NetCTL, and IEDB tools were used to study, analyze, and predict potent T-cell epitopes, its subsequent MHC-I interactions, and B-cell epitopes. The 3D structure prediction of peptides and MHC-I alleles (HLA-C*03:03) was further done using AutoDock4.0.

Result:

Based on result interpretation, the peptide sequence from 1138-1145 amino acid and sequence WTAGAAAYY and YDPLQPEL were obtained as potential B-cell and T-cell epitopes respectively.

Conclusion:

The peptide sequence WTAGAAAYY and the amino acid sequence from 1138-1145 of the spike protein of SARS-CoV-2 can be used as a probable B-cell epitope candidate. Also, the amino acid sequence YDPLQPEL can be used as a potent T-cell epitope. This in-silico study will help us to identify novel epitope-based peptide vaccine targets in the spike protein of SARS-CoV-2. Further, the in-vitro and in-vivo study needed to validate the findings.
PROFIL SDS-PAGE DAN AKTIVITAS LISOZIM PUTIH TELUR AYAM LOKAL TERMODIFIKASI PANAS
Authors:   Institut Teknologi Sumatera, Nasution Syahrizal , Faridah Didah Nur ,   IPB University, Kusumaningtyas Eni ,   Balai Besar Penelitian Veteriner, Wulandari Zakiah ,   IPB University, Kusumaningrum Harsi Dewantari ,   IPB University
Published: February 2021

Lisozim adalah enzim hidrolase yang bisa diisolasi dari putih telur ayam. Penelitian bertujuan untuk mengarakterisasi lisozim termodifikasi dari putih telur ayam lokal dengan SDS-PAGE dan mengukur aktivitas lisozimnya. Lisozim dari putih telur ayam Sentul yang terisolasi kemudian dimodifikasi dengan perlakuan panas. Lisozim dikarakterisasi dengan SDS-PAGE. Aktivitas lisozim diujikan terhadap Micrococcus lysodeikticus. Profil SDS-PAGE menunjukkan lisozim masih memunculkan sedikit ovotransferin dan ovalbumin sebelum dimodifikasi. Perlakuan suhu 60°C tidak mengubah profil SDS-PAGE dan hasilnya mirip seperti lisozim terisolasi awal tetapi perlakuan suhu 75°C menyebabkan ovotransferin menghilang. Setelah perlakuan suhu 90°C, selain ovotransverin menghilang, protein baru muncul yang diduga lisozim berbentuk dimer. Profil SDS-PAGE lisozim termodifikasi menjelaskan lisozim tetap mempertahankan aktivitasnya walaupun terjadi perubahan profil lisozim.
Character model identification and interactive AI simulation application
Authors: Lin Pei-Chun
Published: February 2021

AI is the theory and development of computer systems that can operate and perform functions which would normally require human input, such as visual perception, speech recognition, and translating one language into another. Dr Pei-Chun Lin is a researcher based in the Department of
Information Engineering and Computer Science at Feng Chia University in Taiwan. She is collaborating with other academics around the world to develop a robot that incorporates AI and will act in a way that suggests it is a thinking and feeling robot which humans can relate to. The character
model identification is especially important for creating an AI robot. The team applied data analysis tools to confirm the model and incorporate fuzzy logic, which holds significant promise for the field of AI application. Lin believes that there is a great deal of potential for AI robots
to improve the lives of people around the world.
Examination of the method for detecting antifungal agents for citrus fruits by SERS method
Authors: Takei Hiroyuki
Published: February 2021

All scientific disciplines require an amalgam of expertise from different fields to function. This is particularly necessary in biology where key techniques can be based on advanced chemistry, physics and engineering principles. This multidisciplinary aspect is often founded on the
need to achieve precise measurements of biological compounds, image extremely small organisms and structures in high definition or separate different biological molecules from one another. All of these require accurate, precise and reliable techniques to carry out the task. One such technique
is surface-enhanced Raman spectroscopy (SERS). SERS is complex but relies on Raman scattering – the phenomenon of photons being scattered by molecules – occurring with molecules that are adsorbed to a solid surface. The detection of this scattering allows for the identification
of specific molecules, even in very low concentrations. This is invaluable in biology where active biomolecules (e.g. proteins) can be present in extremely low concentrations. Dr Hiroyuki Takei of the Graduate School of Life Sciences, Toyo University, Japan, is working on a project that is
focused creating a SERS technique that can consistently and accurately detect fungicide levels on citrus fruits.
Association of Perceived Threat, Negative Emotions, and Self-Efficacy With Mental Health and Personal Protective Behavior Among Chinese Pregnant Women During the COVID-19 Pandemic: Cross-sectional Survey Study
Authors: Mo Phoenix Kit Han , Fong Vivian Wai In , Song Bo , Di Jiangli , Wang Qian , Wang Linhong
Published: February 2021

Background

COVID-19 is an emerging infectious disease that has created health care challenges worldwide. Pregnant women are particularly affected by this disease.

Objective

The aims of this study are to assess the levels of perceived threat (susceptibility, severity, impact), negative emotions (fear, worry), and self-efficacy of pregnant women in China related to COVID-19 and to examine their associations with mental health (depression and anxiety) and personal protective behavior (wearing a face mask).

Methods

A total of 4087 pregnant women from China completed a cross-sectional web-based survey between March 3 and 10, 2020.

Results

The prevalence of probable depression and anxiety was 48.7% (1989/4087) and 33.0% (1347/4087), respectively; 23.8% participants (974/4087) reported always wearing a face mask when going out. Of the 4087 participants, 32.1% (1313) and 36.4% (1490) perceived themselves or their family members to be susceptible to COVID-19 infection, respectively; 3216-3518 (78.7%-86.1%) agreed the disease would have various severe consequences. Additionally, 2275 of the 4087 participants (55.7%) showed self-efficacy in protecting themselves from contracting COVID-19, and 2232 (54.6%) showed efficacy in protecting their family members; 1303 (31.9%) reported a high level of fear of the disease, and 2780-3056 (68.0%-74.8%) expressed worry about various aspects of COVID-19. The results of the multivariate multinominal logistic regression analyses showed that perceived severity, perceived impact, fear, and worry were risk factors for probable depression and anxiety, while self-efficacy was a protective factor. The results of the multivariate logistic regression analysis showed that perceived susceptibility was associated with always wearing a face mask.

Conclusions

Chinese pregnant women showed high levels of mental distress but low levels of personal protective behavior during the COVID-19 pandemic. Interventions are needed to promote the mental health and health behavior of pregnant women during the pandemic.
An Intervention for the Transition From Pediatric or Adolescent to Adult-Oriented HIV Care: Protocol for the Development and Pilot Implementation of iTransition
Authors: Tanner Amanda E , Dowshen Nadia , Philbin Morgan M , Rulison Kelly L , Camacho-Gonzalez Andres , Lee Susan , Moore Shamia J , Fortenberry J Dennis , Hussen Sophia A
Published: February 2021

Background

In the United States, adolescents and young adults are disproportionately affected by HIV and have poorer HIV-related health outcomes than adults. Health care transition (HCT) from pediatric or adolescent to adult-oriented HIV care is associated with disruptions to youths’ care retention, medication adherence, and viral suppression. However, no evidence-based interventions exist to improve HCT outcomes for youth living with HIV.

Objective

There are 2 phases of this project. Phase 1 involves the iterative development and usability testing of a Social Cognitive Theory–based mobile health (mHealth) HIV HCT intervention (iTransition). In phase 2, we will conduct a pilot implementation trial to assess iTransition’s feasibility and acceptability and to establish preliminary efficacy among youth and provider participants.

Methods

The iterative phase 1 development process will involve in-person and virtual meetings and a design team comprising youth living with HIV and health care providers. The design team will both inform the content and provide feedback on the look, feel, and process of the iTransition intervention. In phase 2, we will recruit 100 transition-eligible youth across two clinical sites in Atlanta, Georgia, and Philadelphia, Pennsylvania, to participate in the historical control group (n=50; data collection only) or the intervention group (n=50) in a pilot implementation trial. We will also recruit 28 provider participants across the pediatric or adolescent and adult clinics at the two sites. Data collection will include electronic medical chart abstraction for clinical outcomes as well as surveys and interviews related to demographic and behavioral characteristics; Social Cognitive Theory constructs; and intervention feasibility, acceptability, and use. Analyses will compare historical control and intervention groups in terms of HCT outcomes, including adult care linkage (primary), care retention, and viral suppression (secondary). Interview data will be analyzed using content analysis to understand the experience with use and acceptability.

Results

Phase 1 (development) of iTransition research activities began in November 2019 and is ongoing. The data collection for the phase 2 pilot implementation trial is expected to be completed in January 2023. Final results are anticipated in summer 2023.

Conclusions

The development and pilot implementation trial of the iTransition intervention will fill an important gap in understanding the role of mHealth interventions to support HCT outcomes for youth living with HIV.

International Registered Report Identifier (IRRID)

DERR1-10.2196/24565
Use of a Smartphone Platform to Help With Emergency Management of Acute Ischemic Stroke: Observational Study
Authors: Wu Yiqun , Chen Fei , Song Haiqing , Feng Wuwei , Sun Jinping , Liu Ruisen , Li Dongmei , Liu Ying
Published: February 2021

Background

To improve the outcomes of acute ischemic stroke (AIS), timely thrombolytic therapy is crucial. Series strategies were recommended to reduce door-to-needle (DTN) time for AIS. Mobile technologies are feasible and have been used in stroke management for various purposes. However, the use of smartphone platforms that integrate series strategies through the entire first aid process to improve emergency management of AIS remains to be verified.

Objective

This study aims to describe the utility and application of a smartphone platform in the emergency management of AIS and report the DTN time for patients with AIS during its 2-year application period. Our results are relevant to digital health management.

Methods

A smartphone platform named “Green” was developed to incorporate the field assessment, hospital recommendation, prehospital notification, real-time communication, clinical records creation, key time-stamping, and quality control to streamline and standardize overall AIS emergency management processes. The emergency medical system (EMS) and all the emergency departments in Beijing have used this platform since 2018. From January 1, 2018, to December 31, 2019, 8457 patients diagnosed with AIS received intravenous tissue-type plasminogen activator therapy. The median DTN time and the proportions of patients with DTN times of ≤60 minutes and ≤45 minutes were reported.

Results

During the 2-year application period of this platform, the median DTN time was 45 minutes, and the proportions of patients with DTN times of ≤60 minutes and ≤45 minutes were 74.6% and 50.5%, respectively. The median DTN time was significantly reduced from 50 minutes in 2018 to 42 minutes in 2019 (P<.001). The proportions of patients with DTN times of ≤60 minutes and ≤45 minutes increased from 66.1% and 40.7%, respectively, in 2018 to 80.7% and 57.3%, respectively, in 2019 (both P<.001). Sustained improvement in DTN time was seen during all the observed months. The improvement occurred across all facilities, and the variations among hospitals also decreased. The median DTN time for patients transferred by ambulances (43 minutes) was significantly shorter than those who reached hospitals by themselves (47 minutes; P<.001).

Conclusions

Sustained reductions in DTN time reflected the improvement in AIS emergency management processes. The use of a smartphone platform integrating recommended strategies throughout all first aid stages is a practical way to help the emergency management of AIS.
Dataset Splitting Techniques Comparison For Face Classification on CCTV Images
Authors: Nurhopipah Ade , Hasanah Uswatun
Published: February 2021

The performance of classification models in machine learning algorithms is influenced by many factors, one of which is dataset splitting method. To avoid overfitting, it is important to apply a suitable dataset splitting strategy. This study presents comparison of four dataset splitting techniques, namely Random Sub-sampling Validation (RSV), k-Fold Cross Validation (k-FCV), Bootstrap Validation (BV) and Moralis Lima Martin Validation (MLMV). This comparison is done in face classification on CCTV images using Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM) algorithm. This study is also applied in two image datasets. The results of the comparison are reviewed by using model accuracy in training set, validation set and test set, also bias and variance of the model. The experiment shows that k-FCV technique has more stable performance and provide high accuracy on training set as well as good generalizations on validation set and test set. Meanwhile, data splitting using MLMV technique has lower performance than the other three techniques since it yields lower accuracy. This technique also shows higher bias and variance values and it builds overfitting models, especially when it is applied on validation set.
The Strategy of Enhancing Employee Reward Using TOPSIS Method as a Decision Support System
Authors: Rahardja Untung , Lutfiani Ninda , Sudaryono Sudaryono , Rochmawati Rochmawati
Published: February 2021

Giving rewards for good performance and achievement of tasks needs to be done as a form of recognition and appreciation by the organization/institution to employees, as well as being part of the process of achieving organizational goals. This study aims to develop a Decision Support System that uses the Technique for Order of Preference by Similarity (TOPSIS) method with the PHP programming language to select reward recipients at University. The data used came from 2 groups, namely educational staff (lecturers) and non-educative staff (employees). Determination criteria applied to the educative group are 10 things, namely: tenure, DP3 value, the value on the percentage of work attendance, value on the percentage of teaching attendance, value on lecturer functional position, value on research implementation, the value on implementation of community service, value on the results of the questionnaire by students, the value of employment status, and the value of sanctions. There are 5 determinant criteria used in the non-educative group, namely: tenure, DP3 value, percentage of work attendance, the value of employment status, and value of sanctions. The results of this study are in the form of an information system program as a decision-making tool for the process of selecting reward recipient employees.
Twitter’s User Opinion About Master and Doctoral Degrees: A Model of Sentiment Comparison
Authors: Wiley Victor , Lucas Thomas
Published: February 2021

This paper examines the opinion of student candidate about their plan to study further to master degree (S2) and doctoral degree (S3). There is lack of approach in finding public opinion about the interest of student candidate in continuing study to higher level such as master degree or doctoral degree. Through this paper, the Twitter’s user opinions are extracted using certain data mining technique to find out three sentiment types (negative, neutral, and positive) by taking the most dominant type of emotions (i.e., anger, anticipation, love, fear, joy, sadness, surprise, trust). The dataset is divided into two groups of Twitter’s users. Both datasets represent group A those opinion is about continuing study further to master degree versus group B whose continuing to doctoral degree. The groups are then divided into three types of sentiment statements about master degree versus doctoral degree. The first group is their sentiment about continuing study further to master degree with the result: (a) 109 negative tweets, 1683 neutral tweets and 131 positive tweets. For the second group (e.g., student’s sentiments about continuing to doctoral degree), it has results: (a) 421 negative tweets, 7666 neutral tweets and 1805 positive tweets. The data are tested to give accuracy value of 85%. The result of this sentiment analysis is useful as a reference for universities to understand the development of sentiments (opinion) from Twitter’s users and help the institutions to improve their reputation and quality
Entity Profiling to Identify Actor Involvement in Topics of Social Media Content
Authors: Cahyo Puji Winar , Habibi Muhammad
Published: February 2021

The efficiency of using social media affected modern society's nature and communication; they are more interested in talking through social media than meeting in the real world. The number of talks on social media content depends on the topic being discussed. The more topic interesting will impact the amount of data on social media will be. The data can be analyzed to get the influence of actors (account mentions) on the conversation. The power of an actor can be measured from how often the actor is mentioned in the conversation. This paper aims to conduct entity profiling on social media content to analyze an actor's influence on discussion. Furthermore, using sentiment analysis can determine the sentiment about an actor from a conversation topic. The Latent Dirichlet Allocation (LDA) method is used for analyzes topic modeling, while the Support Vector Machine (SVM) is used for sentiment analysis. This research can show that topics with positive sentiment are more likely to be involved in disaster management accounts, while topics with negative sentiment are more towards involvement in politicians, critics, and online news.
Pengukuran Kecepatan Suara dalam Media Air Menggunakan Sensor Ultrasonik
Authors: Khanan Miftakhul , Ashari Ahmad
Published: February 2021

The speed of sound in water varies depending on the condition. There are several factors that affect the difference in the speed of sound in water, such as the viscosity, temperature, pressure, etc. In this study, designed a tool to measure the speed of sound in water by utilizing ultrasonic waves.The ultrasonic sensor used consists of transmitter and receiver. The method used is indirect method by using sound reflection. The 40kHz ultrasonic wave used on the transmitter is generated by the AD9850 signal generator. Signals received receiver in and processed on a microcontroller through an LM393 comparator that makes the signal HIGH and LOW so it can be read directly on the digital pins of microcontroller.Measurements were made at a water temperature of 27oC with 1 meter test medium. The measurement is done on variation of distance from 5-90 cm with span of 5 cm. By knowing the time difference between the transmitted and received signal and the known wave range, the speed of sound in the water obtained in the study was (1394 ± 27) m / s with the determination coefficient of 0.998.
Kendali Arah pada Brain Computer Interface Berbasis Steady State Visual Evoked Potentials
Authors: Maji Jaler Sekar , Atmaji Catur
Published: February 2021

Various studies regarding to Steady State Visual Evoked Potentials (SSVEP) based Brain Computer Interface (BCI) system with Electroencephalogram (EEG) signal has developed as BCI implementation on directional control, however lackness found on those studies which are long time on classification duration, to many electrode channels used and the electrode channels located on special area. This study we developed the SSVEP based BCI system with one second classification duration, four active channels used and electrode channels located based on The International 10-20 System. Stimulus used are red colored object with 11 Hz frequency rate represents as left directional control class, blue colored object with 13 Hz frequency rate represents as right directional control class and white colored background represents as relax class. Filter bank with eight frequency range (11 Hz, 22 Hz, 33 Hz, 13 Hz, 26 Hz, 39 Hz, 12-29 Hz dan 30-50 Hz) followed by Root Mean Square (RMS) used as  feature extraction for every second of data. Artificial Neural Network (ANN) classification and 5-Fold Cross Validation are used to knowing the performance of the developed system. Developed BCI system resulted accuracy 78,20% with True Positive Rate (TPR) 86,00% and False Discovery Rate (FDR) 23,21%.
Survei Penggunaan Tensorflow pada Machine Learning untuk Identifikasi Ikan Kawasan Lahan Basah
Authors: Wiranda Nuruddin , Purba Harja Santana , Sukmawati R Ati
Published: February 2021

Wetlands are habitats commonly used for fish cultivation. South Kalimantan is one of the provinces that has a wetland area, which is 11,707,400ha, there are 67 rivers and an estimated 200 species of fish. This shows the abundant wealth of fish treasures and economic value. The study of fish identification is an important subject for the preservation of wetland fish. In the field of artificial intelligence, identification can be done using Machine Learning (ML). There are many libraries, a collection of functions that can be used in ML development, one of which is Tensorflow. In this paper, we survey a variety of literature on the use of Tensorflow, as well as datasets, algorithms, and methods that can be used in developing wetland area fish image identification applications.The results of the literature survey show that Tensorflow can be used for the development of fish character identification applications. There are many datasets that can be used such as MNIST, Oxford-I7, Oxford-102, LHI-Animal-Faces, Taiwan marine fish, KTH-Animal, NASNet, ResNet, and MobileNet. Classification methods that can be used to classify fish images include CNN, R-CNN, DCNN, Fast R-CNN, kNN, PNN, Faster R-CNN, SVM, LR, RF, PCA and KFA. Tensorflow provides many models that can be used for image classification, including Inception-v3 and MobileNets, and supports models such as CNN, RNN, RBM, and DBN. To speed up the classification process, image dimensions can be reduced using the MDS, LLE, Isomap, and SE algorithms.
Performance Analysis of Data Transmission on a Wireless Sensor Network Using the XBee Pro Series 2B RF Module
Authors: Desnanjaya I Gusti Made Ngurah , Hartawan I Nyoman Buda , Parwita Wayan Gede Suka , Iswara Ida Bagus Ary Indra
Published: February 2021

Wireless Sensor Network (WSN) is a wireless network technology that is capable of scanning and can be used to monitor environmental conditions, both indoors and outdoors. One of the devices used in data communication at WSN is XBee. XBee is a device in WSN that uses radio frequency as a data transmission path from one device to another. In sending data, Xbee can be affected by the distance and signal strength between devices. In this research, Xbee communication distance analysis is done outdoors and indoors so as to get data in the form of maximum distance vulnerable from Xbee. The results of this study indicate that the Xbee Pro Series 2B that is measured outside the room is capable of sending data up to a distance of 110 meters, while the Xbee Pro Series 2B device that is measured indoors is capable of sending data up to a distance of 20 meters.
Enhanced Active Filter for Single-Phase Controlled Rectifier Applications
Authors: Dethan Jacob , Abidin Abidin , Daniawan Benny , Rino Rino
Published: February 2021

Active filter can be used to increase the performance of single-phase controlled rectifier by reducing the generated ripple and harmonic distortion. Active filter can also increase power factor and efficiency of thyristor. In this work, active filter was designed by using NPN Bipolar Junction Transistor (BJT) compared with active filter created by utilizing NPN Metal Oxide Semiconductor Field Effect Transistor (MOSFET). The obtained efficiency of BJT based active filter with firing angles of 0° to 90° were 87.01% - 96.67%. Whereas, MOSFET based active filter produced comparable efficiency between 90.62% - 96.07%. It can be seen that MOSFET based active filter produced higher efficiency at firing angle of 0° which was 90.62% compared to BJT based active filter that has produced efficiency of 87.01% at the same firing angle.  Both active filters obtained similar power factors within the range of 0.57 lagging – 0.92 lagging. It is expected that this work can be useful for the design of active filters for various power electronics applications including the design of High Voltage Direct Current (HVDC) power transmission system.
Euglycemic Ketoacidosis as a Complication of SGLT2 Inhibitor Therapy
Authors: Palmer Biff F. , Clegg Deborah J.
Published: February 2021

Sodium-glucose cotransporter-2 (SGLT2) inhibitors are drugs designed to lower plasma glucose concentration by inhibiting Na+-glucose–coupled transport in the proximal tubule. Clinical trials demonstrate these drugs have favorable effects on cardiovascular outcomes to include slowing the progression of CKD. Although most patients tolerate these drugs, a potential complication is development of ketoacidosis, often with a normal or only a minimally elevated plasma glucose concentration. Inhibition of sodium-glucose cotransporter-2 in the proximal tubule alters kidney ATP turnover so that filtered ketoacids are preferentially excreted as Na+ or K+ salts, leading to indirect loss of bicarbonate from the body and systemic acidosis under conditions of increased ketogenesis. Risk factors include reductions in insulin dose, increased insulin demand, metabolic stress, low carbohydrate intake, women, and latent autoimmune diabetes of adulthood. The lack of hyperglycemia and nonspecific symptoms of ketoacidosis can lead to delays in diagnosis. Treatment strategies and various precautions are discussed that can decrease the likelihood of this complication.
Российско-монгольское сотрудничество в военной сфере (1930-е годы)
Authors:   East Siberia State University of Technology and Management (Bldg. 1, 40 В, Klyuchevskaya St., Ulan-Ude 670013, Russian Federation)., Zhabaeva Larisa B.
Published: February 2021

Goals. The article investigates Russian-Mongolian military cooperation in the 1930s. Methods and Materials. The work examines collected documents and materials housed by the Russian State Archive of Socio-Political History. Results and Conclusions. The early 1930s were characterized by the aggravation of the international situation in the Far East: Japan attacked China and occupied a considerable territory. Japan’s external policy was turning more and more towards expansionism, giving rise to sentiments to seize mainland territories which meant а direct threat to Mongolia and Soviet regions. So, the period witnessed a series of regular top-level meetings between the Soviet and Mongolian governments. The Kremlin negotiations of November 1934 proved essential enough for the further development of Soviet-Mongolian military and political cooperation. The Kremlin, thus, took the strategic lead and got actively involved in Mongolian affairs. Records of the Soviet-Mongolian negotiations of November 27 underline the vital need for Mongolia to have strong national armed forces, and report the expediency of signing non-aggression and mutual respect treaties was being discussed. The Protocol of mutual assistance between the USSR and the MPR of 12 March 1936 set a new global trend for intergovernmental cooperation and strategic partnership in the context of increasing international tensions. Active joint military actions against imperialist Japan in 1939 at Khalkhin Gol, efficient coordination of foreign policy steps thus became an important stabilizing factor in the region, being a bright page in the history of relations between the countries.