bluuebunny/crossref_metadata_2025 huggingface dataset:
Acetylated Trifluoromethyl Diboronic Acid Anthracene with a Large Stokes Shift and Long Excitation Wavelength as a Glucose-Selective Probe
Authors: Choi Hongsik , Song Inhyeok , Park Chul Soon , Yim Heung-seop , Kim Joong Hyun
Published: March 2022

Continuous control of blood glucose levels is important for the effective treatment of diabetes. The short-term use of enzymatic continuous monitoring systems involves expensive maintenance and is inconvenient, which limits their widespread use by diabetes patients. The fluorescent diboronic anthracene-embedded system has demonstrated in vivo continuous glucose monitoring for 12 times longer than enzymatic systems by protecting the dye from reactive oxygen species. However, its small Stokes shift and low excitation and emission wavelength should be heavily considered for easy fabrication. We successfully synthesized a derivative of bis-phenyl boronate with a large Stokes shift and long excitation wavelength by adding an acetyl moiety to the anthracene ring. This resulted in a ~90-nm Stokes shift and 15-nm and 80-nm redshifts of the excitation and emission wavelengths, respectively. The fluorescence of the synthesized probe increased proportionally with the glucose concentration because the formation of the boronic acid-glucose complex prevented photoinduced electron transfer. The association constant and quantum yield for acetyl-substituted diboronic anthracene with glucose was 20% and 13% higher than that of the analog, respectively. While keeping resistance to the oxidation by reactive oxygen species, the improved optical properties and glucose-detecting performances of the newly synthesized dye will allow better pairing of the source and detecting unit for in vivo continuous glucose monitoring, leading to easy fabrication and then contributing more to utilization by diabetes patients.
DNA Methylation Malleability and Dysregulation in Cancer Progression: Understanding the Role of PARP1
Authors: Srivastava Rakesh , Lodhi Niraj
Published: March 2022

Mammalian genomic DNA methylation represents a key epigenetic modification and its dynamic regulation that fine-tunes the gene expression of multiple pathways during development. It maintains the gene expression of one generation of cells; particularly, the mitotic inheritance of gene-expression patterns makes it the key governing mechanism of epigenetic change to the next generation of cells. Convincing evidence from recent discoveries suggests that the dynamic regulation of DNA methylation is accomplished by the enzymatic action of TET dioxygenase, which oxidizes the methyl group of cytosine and activates transcription. As a result of aberrant DNA modifications, genes are improperly activated or inhibited in the inappropriate cellular context, contributing to a plethora of inheritable diseases, including cancer. We outline recent advancements in understanding how DNA modifications contribute to tumor suppressor gene silencing or oncogenic-gene stimulation, as well as dysregulation of DNA methylation in cancer progression. In addition, we emphasize the function of PARP1 enzymatic activity or inhibition in the maintenance of DNA methylation dysregulation. In the context of cancer remediation, the impact of DNA methylation and PARP1 pharmacological inhibitors, and their relevance as a combination therapy are highlighted.
Association of Alcohol Types, Coffee, and Tea Intake with Risk of Dementia: Prospective Cohort Study of UK Biobank Participants
Authors: Schaefer Sylva Mareike , Kaiser Anna , Behrendt Inken , Eichner Gerrit , Fasshauer Mathias
Published: March 2022

The prevalence of dementia is increasing globally and is linked to obesity and unfavorable dietary habits. The present study analyses the association of alcohol intake from wine and non-wine alcoholic beverages (non-wine) in g/d, as well as coffee and tea in cups/d, with incident dementia. Over 4.2 million person-years, 4270 dementia cases occurred in 351,436 UK Biobank participants. Hazard ratios (HRs) for incident dementia were defined with Cox proportional hazard regression models in which beverage intake was fitted as penalized cubic splines. Wine intake showed a significant U-shaped association with the lowest risk for incident dementia (nadir) ranging from 21 to 23 g alcohol/d in all participants and in males. In contrast, non-wine consumption was significantly and dose-dependently associated with incident dementia, and the nadir was found at 0 g alcohol/d. Coffee consumption was not related to dementia risk, while moderate-to-high tea intake was negatively associated with incident dementia. Taken together, the current study shows on a population level that moderate consumption of wine and moderate-to-high tea intake is associated with a decreased risk of incident dementia. In contrast, non-wine is positively related to dementia risk in a linear fashion, and no clear association is found for coffee.
Seismic Wave Attenuation Characteristics from the Ground Motion Spectral Analysis around the Kanto Basin
Authors: Zhou Ying , Miao Tianming , Yang Jian , Wang Xiuli , Wang Hongwei , Zheng Wenzhong
Published: March 2022

In order to study the seismic wave attenuation characteristics of complex plate tectonics in and around the Kanto Basin, based on the focal mechanism and Slab1.0 model, the research area is divided into four regions. The one-step non-parametric generalized inversion technique was used to analyze the seismic wave attenuation characteristics of each region separately. The results show that the seismic path attenuation of earthquakes occurring in the shallow crust (Reg.1) is weak, and the seismic wave refraction at the crust–mantle boundary leads to almost no attenuation over a long hypocentral distance (>60 km), the frequency–dependent inelastic attenuation is also weak with the 0.5–20 Hz quality factor Q = 92.33f1.87. The seismic path attenuation of the upper mantle earthquakes occurring in the Kanto Basin (Reg.2) is strong, and the attenuation curve decreases with the increase of hypocentral distance, which is approximately parallel to the geometric diffusion R−2.0, the frequency–dependent inelastic attenuation is stronger with the quality factor Q = 27.75f1.08. The seismic path attenuation of subduction zone earthquakes (Reg.3 and Reg.4) is more obvious in the high–frequency band and has a frequency correlation, indicating that the attenuation of subduction zone earthquakes includes more inelastic attenuation. The frequency–dependent inelastic attenuation Q of Reg.3 and Reg.4 are 52.58f0.95 and 58.07f0.89, respectively.
Physical Properties and Environmental Impact of Sound Barrier Materials Based on Fly Ash Cenosphere
Authors: Xie Hui , Li Yajing , Kahya Ercan , Wang Bo , Ge Xiyun , Li Guanda
Published: March 2022

Traffic noise and solid waste pollution are two major problems that restrict urban development and affect urban environments. In this study, a new kind of cement-based material for sound barriers was prepared using industrial waste fly ash cenosphere to explore the material ratio of the sound absorption, sound insulation, and composite layers and to optimize the material’s properties. The research findings showed that the compressive strength had significant effects on the material properties of the sound absorption layer, with the optimal compressive strength range being 0.2–0.4 MPa. At 0.4 MPa, the material with an aggregate-to-binder ratio of 1.0 had the best comprehensive properties. The sound insulation layer had the best compressive strength of 29.00 MPa at a 45% fiber admixture. The composite had the best sound insulation when the thickness ratio of the sound absorption and insulation layers was 60:40, and the sound transmission loss was 38 dB. The embodied carbon (EC) and embodied energy (EE) of the new fly ash cenosphere across the whole life cycle were 57.57 kgCO2e and 477.08 MJ, respectively, which were 4.8−52.9% and 53.2−82.3% lower than other traditional sound barriers, respectively. Thus, they were environmentally friendly and had satisfactory energy-saving and environmental protection values.
Evaluation of Heteroleptic Pt (II) β-Diketonate Complexes as Precatalysts for the Photoactivated Curing of Silicone Resins
Authors: Moro Maria , Zardi Paolo , Rossi Massimo , Biffis Andrea
Published: March 2022

A library of platinum (II) complexes of general formula (O,O′-β-diketonate)PtLX (L = dimethylsulfoxide, pyridine, triphenylphosphine; X = chloride, γ-acetylacetonate) has been prepared, using synthetic methodologies available in the literature. The library has been supplemented with a novel platinum (II) complex bearing a triazenido N-oxide ligand. The complexes have been characterized and tested as precatalysts for the photoactivated curing of silicone resins. Correlations have been established between the nature of the employed ligands, the ultraviolet-visible (UV-Vis) absorption spectrum of the complexes and their catalytic performance, which enable the tailored preparation of complexes with improved performance in view of possible technological applications.
Research on Fabrication Techniques and Focusing Characteristics of Metalens
Authors: Zhang Yuhui , Fu Yuegang , Ma Chenhao , Yang Bowei , Zhao Yuanzhi
Published: March 2022

Metalenses have recently attracted increased attention due to their remarkable characteristics. The fabrication technology of metalenses has also become an important research direction. In this study, we propose a metalens structure based on Au–MgF2–Au in infrared waveband. The preparation process of the metalens included magnetron sputtering, electron beam evaporation, and electron beam exposure. A dose test was performed during the exposure process, adjusting the exposure dose to minimize the proximity effect after exposure. Then, SEM was used to measure the processed metalens structure, and FDTD software was used to build a model based on the metalens, simulating and analyzing its focusing characteristics. The results show that the size deviation produced during the processing has little effect on the functionality of the metalens. The processed metalens can also focus different polarized light incidences at different spatial positions: The metalens can focus at 4.97 μm for x-polarized light and focus at 13.5 μm for y-polarized light. Additionally, the metalens has good focusing effects with different working wavelengths. We believe that the processing method of metalens proposed in this paper provides guidance for the preparation of subwavelength metasurface structures, and our findings are beneficial in developing new methods of near-infrared regime manipulation.
Cell Signaling Pathways That Promote Radioresistance of Cancer Cells
Authors: Ouellette Michel M. , Zhou Sumin , Yan Ying
Published: March 2022

Radiation therapy (RT) is a standard treatment for solid tumors and about 50% of patients with cancer, including pediatric cancer, receive RT. While RT has significantly improved the overall survival and quality of life of cancer patients, its efficacy has still been markedly limited by radioresistance in a significant number of cancer patients (intrinsic or acquired), resulting in failure of the RT control of the disease. Radiation eradicates cancer cells mainly by causing DNA damage. However, radiation also concomitantly activates multiple prosurvival signaling pathways, which include those mediated by ATM, ATR, AKT, ERK, and NF-κB that promote DNA damage checkpoint activation/DNA repair, autophagy induction, and/or inhibition of apoptosis. Furthermore, emerging data support the role of YAP signaling in promoting the intrinsic radioresistance of cancer cells, which occurs through its activation of the transcription of many essential genes that support cell survival, DNA repair, proliferation, and the stemness of cancer stem cells. Together, these signaling pathways protect cancer cells by reducing the magnitude of radiation-induced cytotoxicity and promoting radioresistance. Thus, targeting these prosurvival signaling pathways could potentially improve the radiosensitivity of cancer cells. In this review, we summarize the contribution of these pathways to the radioresistance of cancer cells.
MaWGAN: A Generative Adversarial Network to Create Synthetic Data from Datasets with Missing Data
Authors: Poudevigne-Durance Thomas , Jones Owen Dafydd , Qin Yipeng
Published: March 2022

The creation of synthetic data are important for a range of applications, for example, to anonymise sensitive datasets or to increase the volume of data in a dataset. When the target dataset has missing data, then it is common to just discard incomplete observations, even though this necessarily means some loss of information. However, when the proportion of missing data are large, discarding incomplete observations may not leave enough data to accurately estimate their joint distribution. Thus, there is a need for data synthesis methods capable of using datasets with missing data, to improve accuracy and, in more extreme cases, to make data synthesis possible. To achieve this, we propose a novel generative adversarial network (GAN) called MaWGAN (for masked Wasserstein GAN), which creates synthetic data directly from datasets with missing values. As with existing GAN approaches, the MaWGAN synthetic data generator generates samples from the full joint distribution. We introduce a novel methodology for comparing the generator output with the original data that does not require us to discard incomplete observations, based on a modification of the Wasserstein distance and easily implemented using masks generated from the pattern of missing data in the original dataset. Numerical experiments are used to demonstrate the superior performance of MaWGAN compared to (a) discarding incomplete observations before using a GAN, and (b) imputing missing values (using the GAIN algorithm) before using a GAN.
28-GHz CMOS Direct-Conversion RF Transmitter with Precise and Wide-Range Mismatch Calibration Techniques
Authors: Lee Yongho , Kim Byeonghyeon , Shin Hyunchol
Published: March 2022

A millimeter-wave direct-conversion radio-frequency (RF) transmitter requires precise in-/quadrature-phase (I/Q) mismatch calibration and dc offset cancellation to minimize image rejection ratio (IRR) and LO feedthrough (LOFT) for ensuring satisfactory output spectral purity. We present a 28-GHz CMOS RF transmitter with an improved calibration technique for fifth generation (5G) wireless communication applications. The RF transmitter comprises a baseband amplifier, quadrature up-conversion mixer, power amplifier driver, and quadrature LO generator. The I/Q amplitude mismatch is calibrated by tuning the gate biases of the switching stage FETs of the mixer, the I/Q phase mismatch is calibrated by tuning the varactor capacitances at the LC load of LO buffer, and the dc offset is cancelled by tuning the body voltages of the differential-pair FETs at the baseband amplifier. The proposed technique provides precise calibration accuracy by employing mV-resolution tuning voltage generation via 6-bit voltage digital-to-analog converters. It also covers wide calibration range while minimizing the impact on the circuit’s bias point and dissipated current during calibration. Implemented in a 65 nm CMOS process, the RF transmitter integrated circuit shows output-referred 1 dB compression power of +6.5 dBm, saturated output power of +12.6 dBm, and an operating band of 27.5–29.3 GHz while demonstrating satisfactory performances of −55.9 dBc of IRR and −36.8 dBc of LOFT.
A Feature-Based Approach for Sentiment Quantification Using Machine Learning
Authors: Ayyub Kashif , Iqbal Saqib , Wasif Nisar Muhammad , Munir Ehsan , Alarfaj Fawaz , Almusallam Naif
Published: March 2022

Sentiment analysis has been one of the most active research areas in the past decade due to its vast applications. Sentiment quantification, a new research problem in this field, extends sentiment analysis from individual documents to an aggregated collection of documents. Sentiment analysis has been widely researched, but sentiment quantification has drawn less attention despite offering a greater potential to enhance current business intelligence systems. In this research, to perform sentiment quantification, a framework based on feature engineering is proposed to exploit diverse feature sets such as sentiment, content, and part of speech, as well as deep features including word2vec and GloVe. Different machine learning algorithms, including conventional, ensemble learners, and deep learning approaches, have been investigated on standard datasets of SemEval2016, SemEval2017, STS-Gold, and Sanders. The empirical-based results reveal the effectiveness of the proposed feature sets in the process of sentiment quantification when applied to machine learning algorithms. The results also reveal that the ensemble-based algorithm AdaBoost outperforms other conventional machine learning algorithms using a combination of proposed feature sets. The deep learning algorithm RNN, on the other hand, shows optimal results using word embedding-based features. This research has the potential to help diverse applications of sentiment quantification, including polling, trend analysis, automatic summarization, and rumor or fake news detection.
Threat Modeling of a Smart Grid Secondary Substation
Authors: Holik Filip , Flå Lars Halvdan , Jaatun Martin Gilje , Yayilgan Sule Yildirim , Foros Jørn
Published: March 2022

A full smart grid implementation requires the digitization of all parts of the smart grid infrastructure, including secondary electrical substations. Unfortunately, this introduces new security threats, which were not apparent before. This article uses a Smart Grid Threat Modeling Template implementing the STRIDE model to create a threat model of a digital secondary substation and its communication with the control center. Threats are classified by priority and need for further investigation. The tool was compared with a CORAS analysis, and was determined to be more time efficient. Denial of service (DoS) threats were classified as the most critical, and they were further evaluated in a precise simulation model created for this purpose. This model combines simulation with emulated communication, and enables verification of threat likelihoods and impacts. The results show that even publicly available tools can be easily used to disrupt grid communication and potentially cause loss of the entire grid’s observability and controllability.
Life Histories and Host-Range Evaluation of Two Chrysomelid Beetles (Zygogramma spp.) Released against Tithonia rotundifolia in South Africa
Authors: Mawela Khethani V. , Simelane David O. , Olckers Terence
Published: March 2022

Tithonia rotundifolia (Mill.) S.F. Blake (Asteraceae) is among the three Tithonia species from Mexico that are invasive in South Africa. To curb its invasiveness and negative impact in South Africa, two chrysomelid beetles, Zygogramma signatipennis (Stål) and Zygogramma piceicollis (Stål), from Mexico were investigated as candidate biological control agents. The life histories and host ranges of these beetles were studied under laboratory conditions to determine their suitability for release. The two beetle species displayed very similar life histories, including a short pre-oviposition period (13–14 days), incubation period (4–5 days) and lifecycle (40–45 days). The longevity of Z. signatipennis and Z. piceicollis was 113 and 125 days, while their fecundities were 1146 and 1133 eggs per female, respectively. Feeding, oviposition and development of both beetle species were confined within the tribe Heliantheae, but showed a very strong preference for the invasive T. rotundifolia. The only non-target species that supported development to adulthood was the exotic weed Tithonia diversifolia (Hemsl.) A. Gray, itself a target for biocontrol. Although some sunflower (Helianthus annuus L.) cultivars were partially utilized during host-specificity tests, none supported complete development, suggesting that both Zygogramma species are suitable for release in South Africa.
The Diabetes Transition of Hospital Care (DiaTOHC) Pilot Study: A Randomized Controlled Trial of an Intervention Designed to Reduce Readmission Risk of Adults with Diabetes
Authors: Rubin Daniel J. , Gogineni Preethi , Deak Andrew , Vaz Cherie , Watts Samantha , Recco Dominic , Dillard Felicia , Wu Jingwei , Karunakaran Abhijana , Kondamuri Neil , Zhao Huaqing , Naylor Mary D. , Golden Sherita H. , Allen Shaneisha
Published: March 2022

Hospital readmission within 30 days of discharge (30-day readmission) is a high-priority quality measure and cost target. The purpose of this study was to explore the feasibility and efficacy of the Diabetes Transition of Hospital Care (DiaTOHC) Program on readmission risk in high-risk adults with diabetes. This was a non-blinded pilot randomized controlled trial (RCT) that compared usual care (UC) to DiaTOHC at a safety-net hospital. The primary outcome was all-cause 30-day readmission. Between 16 October 2017 and 30 May 2019, 93 patients were randomized. In the intention-to-treat (ITT) population, 14 (31.1%) of 45 DiaTOHC subjects and 15 (32.6%) of 46 UC subjects had a 30-day readmission, while 35.6% DiaTOHC and 39.1% UC subjects had a 30-day readmission or ED visit. The Intervention–UC cost ratio was 0.33 (0.13–0.79) 95%CI. At least 93% of subjects were satisfied with key intervention components. Among the 69 subjects with baseline HbA1c >7.0% (53 mmol/mol), 30-day readmission rates were 23.5% (DiaTOHC) and 31.4% (UC) and composite 30-day readmission/ED visit rates were 26.5% (DiaTOHC) and 40.0% (UC). In this subgroup, the Intervention–UC cost ratio was 0.21 (0.08–0.58) 95%CI. The DiaTOHC Program may be feasible and may decrease combined 30-day readmission/ED visit risk as well as healthcare costs among patients with HbA1c levels >7.0% (53 mmol/mol).
Challenges in the Diagnosis and Management of Fibrotic Hypersensitivity Pneumonitis: A Practical Review of Current Approaches
Authors: Moua Teng , Petnak Tananchai , Charokopos Antonios , Baqir Misbah , Ryu Jay H.
Published: March 2022

Recent advances in fibrotic hypersensitivity pneumonitis include improved diagnostic guidance, systematic assessments of immunosuppressive therapy, and the recent availability of antifibrotic therapy (nintedanib) for those with progressive disease. A standardized approach to diagnosis may lead to better inclusion criteria for future therapeutic protocols and delineation of disease or treatment response predictors for real-world management. This review will highlight current diagnostic and treatment challenges and remaining knowledge gaps or areas of uncertainty, with a practical overview of supporting evidence and its clinical implications. Exposure history, serologic testing for antigen sensitivity, bronchoalveolar lavage lymphocytosis, histopathology, and radiologic findings will be covered in the diagnosis section, with immunosuppression, antifibrotic therapy, lung transplantation, and disease prognosis in the treatment and management section.
The Future of Adhesion Prophylaxis Trials in Abdominal Surgery: An Expert Global Consensus
Authors: De Wilde Rudy Leon , Devassy Rajesh , Broek Richard P. G. ten , Miller Charles E. , Adlan Aizura , Aquino Prudence , Becker Sven , Darmawan Ferry , Gergolet Marco , Habana Maria Antonia E. , Khoo Chong Kiat , Koninckx Philippe R. , Korell Matthias , Krentel Harald , Musigavong Olarik , Pistofidis George , Puntambekar Shailesh , Rachman Ichnandy A. , Sendag Fatih , Wallwiener Markus , Torres-de la Roche Luz Angela
Published: March 2022

Postoperative adhesions represent a frequent complication of abdominal surgery. Adhesions can result from infection, ischemia, and foreign body reaction, but commonly develop after any surgical procedure. The morbidity caused by adhesions affects quality of life and, therefore, it is paramount to continue to raise awareness and scientific recognition of the burden of adhesions in healthcare and clinical research. This 2021 Global Expert Consensus Group worked together to produce consented statements to guide future clinical research trials and advise regulatory authorities. It is critical to harmonize the expectations of research, to both develop and bring to market improved anti-adhesion therapies, with the ultimate, shared goal of improved patient outcomes.
Comparison of estimated and measured sound-absorption coefficient and transmission loss by geometric dimensions of a collection of equilateral triangular holes of equilateral triangular holes
Authors: Sakamoto Shuichi , Sutou Kouta , Nakano Arata , Tanikawa Hirohiko , Azami Takanari , Shintani Tetsushi
Published: March 2022

We performed a theoretical analysis on collection of equilateral triangular holes with consideration for sound wave attenuation within the tube and then calculated the sound-absorption coefficient and transmission loss. We then compared these results with experimental values. In the
experiment, we measured the sound-absorption coefficient and transmission loss of a test sample using impedance measurement tubes with two and four microphones. We estimated the sound-absorption coefficient and transmission loss because of the dimensions of a collection of equilateral triangular
holes through theoretical analysis and then compared these results with experimental values. In the present analysis, the propagation constant and characteristic impedance were introduced into a one-dimensional transfer matrix. Considering the effects of sound wave attenuation in the tubule
from three-dimensional analysis, we derived the propagation constant and characteristic impedance. Values for the sound-absorption coefficient and transmission loss obtained through the analysis of holes as triangles rather than as circles gave calculation results closer to the experimental
values. This is because this method more suitably simulates the effects of the boundary layer that occupies the space within the hole. The results show that the sound absorption coefficient and transmission loss of triangular honeycombs can be estimated with sufficient accuracy using only
geometric dimensions and physical properties.
Visualization study of two-phase flow and noise control in a multiple temperature refrigerator during the defrost cycle
Authors: Pu Liang , Zhang Shengqi , Pan Yiguang , Sun Jinglong , Li Qiang
Published: March 2022

To reduce the noise caused by the flow of refrigerant during the defrost cycle and preserve the ambient sound level, this study concentrated on exploring the mechanism of noise generation in the gas–liquid separator based on visualization experiments. A transparent gas–liquid
separator made of quartz glass, which was instead of the original one, was fabricated to observe the flow pattern of refrigerant in the gas–liquid separator, and the relationship between flow pattern and noise generation was investigated. The results showed that the noise is mainly generated
during the defrost cycle. The sound power level has a drastic fluctuation when the liquid level of refrigerant in the gas–liquid separator is higher than the outlet of the evaporation tube during the defrost cycle. The reduction in noise is achieved by the redesigns that prevent the
liquid level of refrigerant in the gas–liquid separator being higher than the outlet of the evaporation tube during the defrost cycle. Then, the noise level of original design and two redesigns was measured in a high precision semi-anechoicroom, respectively. The noise level of the refrigerator
reduces from 30.2 dB(A) to 26.1 dB(A) and 24.4 dB(A) by increasing the volume of the gas–liquid separator for 87.1% and installing a ball valve respectively.
Application of FE-SEA approach in investigation of track properties influences on railway rolling noise generation
Authors: Sadeghi Javad , Vedadi Parinus , Vasheghani Mojtaba
Published: March 2022

One of the main concerns in the railway transportation is environmental pollutions caused by railway noise. The most important source of this noise is the rolling contact between wheel and rail, and therefore, prediction of the rolling noise is a key factor in the management and reduction
of the noise. Despite numerous studies carried out on the rolling noise prediction in the available literature, the role of track components on the rolling noise has not been taken into account. That is, the power dissipation within the track superstructures has not been given sufficient consideration.
This is addressed in this research by investigating the influences of the track components on the level of railway rolling noise. For this purpose, a new noise prediction approach is developed in this research using finite element method and the statistical energy analysis. This approach has
an advantage of considering power dissipation along the track components compared with the previous approaches. The results obtained from the new approach were compared with field measurements carried out in this research. It is shown that the proposed finite element–statistical energy
analysis approach is effective in accurate predictions of the ballasted railway track noise.
Edip Cansever'in Şiirlerinde Zaman Algısı
Authors: BAKIR Sinan
Published: March 2022

Bireyin psikolojik karmaşası, varlık, varolma sıkıntısı, ölüm psikolojisi ya da insanın dış dünya algısı, gerçeklik kurgusu zamanın algılanma biçimini etkiler. Edip Cansever şiirinde zamanın bu yönlerine rastlanmakla birlikte kavramın hem kurgusal yapıda hem de bireylerin eylemlerini, duygusal ve düşünsel kırılmalarını anlamada işlevselleştiği söylenebilir. Cansever şiirinde zamanın problem alanları varlık, varoluş sıkıntısıyla ilişkilidir. Zamanın fenomenolojik boyut üzerinden algılama alanına sokulduğu bu şiirlerde varoluş, ölüm, ölümlülük, sonsuzluk, geçicilik, belirsizlik, geçmişe dönük hatıralar, şimdiki zamanda yaşanan krizler, geleceğe yönelen beklentiler, bunalma, yabancılaşma, yalnızlaşma süreçleri kavramın daha çok soyut olarak tasarlanmasında rol oynar. İmgenin psikiyatrik veri işlevi gördüğü bu şiirlerde zamanın psikolojik algılama alanlarına yönelme söz konusudur. Cansever şiirinde soyutlaşan insan ve hayat gibi zaman da soyut bir imge olarak tasarlanırken varoluşsal krizlerin bilinçaltı karmaşayla ilişkisi üzerinde durulur. Bir boğuntudan, acıdan, sıkıntıdan, ölü gömme töreninden doğan anlatı figürlerinin zamanın herkes için işleyen boyutunu aşma, yeniden var olma çabaları yabancılaşma duygusu üzerinden aktarılır. Bölünmüş kişilik yapıları gibi zaman da bilinçdışı yönelim gösterir. Edip Cansever şiirinde zamanın çizgisel, izlenebilir dilimlerinden olan kış ve sonbahar mevsimlerine yönelik olumsuz imgelere yer verilirken yazın ise aşkı çoğaltıcı etkisine rastlanır. Bu makalede Edip Cansever şiirindeki varoluşsal sıkıntının, psikolojik atmosferin ve yabancılaşma düzeyinin zamanla ilişkisi üzerinde durulmuştur.
The Effect of Teaching English Synonyms through Data-Driven Learning (DDL) on Thai EFL Students’ Vocabulary Learning
Authors: Boontam Punyapa
Published: March 2022

This paper examines to what extent paper-based data-driven learning (DDL) activities can improve Thai EFL students’ vocabulary learning concerning three English synonymous adjectives, which are naughty, disobedient and rebellious, and explores the attitudes of the participants towards learning through the DDL activities. This study was a one-group pre-test post-test design conducted over a four-week period. The convenience-sampled participants were 30 Thai EFL students studying in the Faculty of Education, majoring in English. There were three research instruments in this study including pre/post-test, Thai version of attitudes questionnaire and semi-structured interviews. The instructional treatment, the paper-based DDL materials, was designed based on the criteria of meanings, collocations, formality and grammatical patterns. The corpus data representing each synonymous adjective was drawn from The British National Corpus (BNC) with the assistance of the online tool Sketch Engine (SkE). Using paired-sample t-test, the results indicate a statistically significant difference in the mean scores (p < 0.001) suggesting that their vocabulary knowledge had been developed after learning through DDL activities. Furthermore, the participants had positive attitudes towards learning through DDL as they found it enjoyable and effective in learning English. Thus, the findings of the study have a profound impact in the fields of English language teaching as it is clearly seen that corpus data serves as a useful tool to explore the authentic language patterns and help enhance learners’ metalinguistic awareness.
The Effect of Bioinformatics Module on Molecular Genetics Concepts on Senior High School Students’ Computational Thinking Skills
Authors: Juwita Sari Indah , Vongsangnak Wanwipa , Pongsophon Pongprapan
Published: March 2022

This study aimed to investigate senior high school students’ computational thinking skills after implementing the Bioinformatics Module on molecular genetics concepts. The instructional approach used in the module is Computational Inquiry-based Teaching (CIbT). This study used a quasi-experiment method with a pretest-posttest control group design. The subjects in this study consist of 24 students in the control group and 38 students in the experimental group from a senior high school in Indonesia. The instrument used in this study is six items of computational thinking test. This module had four themes; Genetics Disease, Cancer, Forensic Science, and Evolution, conducted in 8 sessions. Each session lasted 90 minutes. The Bioinformatics Module consists of programming and databases, including unplugged computational activities and unplugged activities including coding using Python, searching in Uniprot, and using BLAST in NCBI. The CIbT has five steps: orientation, conceptualization, investigation, conclusion, and discussion. The Mann-Whitney test results showed that the p-value from N-Gain data is < 0.01. So, Bioinformatics Module on molecular genetics concepts using CIbT can improve computational thinking skills of senior high school students. For further implementation, biology teachers must prepare to use the Bioinformatics Module, including biology teachers’ understanding of molecular genetics and bioinformatics practices to enrich the learning experience in the Bioinformatics Module.
Indigenous intelligent materials for the textile field
Authors: OLARU SABINA , BEZDADEA MARIANA
Published: March 2022

The present work reflects an area of cutting-edge research, bioengineering and industrial microbiology, emphasising the
new physiognomy of macromolecular chemistry, supramolecular chemistry. Membranes are advanced materials whose
specificity manifests itself in order, organisation, structural stability, and functional stability, explaining their own character
of separation and selectivity.
A hypothesis finds applications in a variety of fields. The more numerous and diverse these fields are, the higher the
probability that this hypothesis applies.
The aim of the paper is to present applications of polyurethane membranes in the textile industry by integrating them
into garment structure and also in wastewater purification. The proposed membrane technology is innovative and will
be of fundamental economic importance in the coming years.
Random forest-based physical activities recognition by using
wearable sensors
Authors: JUNJIE ZHANG , SHENGHAO CAI , JIE XU , HUA YUAN
Published: March 2022

Physical activity recognition (PAR) is a topic worthy of attention. In order to improve the practicality of wearable sensors
for recognition, in this study, we propose an approach to create a classifier of PAR based on the collected data. At first,
we discuss how features extracted from the accelerometer and gyroscope contribute to distinguish different activities,
including walking, walking upstairs, walking downstairs, sitting, standing, laying, and also provide an analytical method
employed for this purpose. Then, a supervised machine learning method, random forest algorithm, is adopted to create
a classifier to recognize physical activities based on the extracted features. Lastly, the performances of the constructed
classifier are evaluated and compared with other methods. The performance evaluation shows the classifier trained by
random forest algorithm are better than other algorithms, and its overall recognition rate reaches 93.75%. In addition,
our approach also has strong potential for applications in smart textiles.
Smart textiles for occupational safety health at oil stations and offshore
platforms in the Black Sea
Authors: KHAMIS JAMAL , GÂF-DEAC IOAN I. , SCUTELNICU IOAN PETRU , JOMIR MIHAELA , ENE ALEXANDRA GABRIELA , ARON IONUT
Published: March 2022

The article shows that in order to develop smart textiles, elements of knowledge about the application part in the field
are needed to create a model, to describe and propose how to obtain the information necessary to perform statistical
analysis of data. The acquired results will serve in making feasible decisions of techno-medical-sanitation and
sustainability through safety equipment. The experimental, scientific and practical contribution refers to the design of a
model of “optimal sustainable techno-medical-sanitary equipment” by using smart textiles.
With the help of this model, it is possible to resort to parametric iteration/reiteration, aiming at the achievement, the value
and qualitative fulfilment imposed to a general objective function of sustainable techno-medical-sanitary when smart
textiles are used.
The developed model goes through further processing in “soft” information programming mode, and then, there will be
the possibility and probability of its use as a calculation tool
Implicaciones del síndrome post COVID-19 en la salud mental en la etapa adulta
Authors: Guzmán-Brand Victor
Published: March 2022

Los efectos a largo plazo de la enfermedad respiratoria por el virus SARS-CoV-2 en la población adulta es una situación que genera preocupación, porque altera aspectos físicos y mentales del paciente al punto de propiciar una incapacidad en sus funciones cotidianas. Por lo tanto, esta investigación tiene el propósito de comprender las implicaciones del síndrome post COVID-19 en la salud mental en la etapa adulta de la vida. Para la estructuración de la metodología se utiliza la declaración PRISMA 2020 la cual proporciona una síntesis clara de la información del tema en estudio. Entre las conclusiones encontramos que la afectación a largo plazo tiene consecuencias a nivel psicológico y psiquiátrico manifestado en dificultades emocionales en todas las actividades diarias, expresadas en tristezas, bajo nivel de ánimo y percepción de los logros, desmejora la calidad de vida, afecta el estado funcional, la cognición y llega a producir discapacidad importante.
Bioética y derechos humanos: los cimientos de los procesos terapéuticos en drogodependencias
Authors: Tarqui-Silva Leonardo
Published: March 2022

This experiential bibliographical research exposes the current reality about the "treatments" for addictions that are offered in Ecuador, the use of custodial interventions and punitive acts, as the main "therapeutic action" of private centers. The importance of considering bioethical aspects is raised, and the importance of the fulfillment of human rights within the "rehabilitation processes", which even lead to a series of complaints and deaths. Since 2016, a regulation has been in place that regulates health establishments that provide treatment services to people with problematic alcohol and other drug use (ESTAD), which has not stopped physical and psychological aggression. Among the conclusions, the very doubtful efficacy of residential treatments stands out, the individual and social impact generated by the breach of civil rights and health regulations, the deficient approach of avant-garde psychotherapeutic interventions, and an exploration of various policies. operated in Latin America. It raises the urgent need to implement contemporary models of rehabilitation, and effective coping with the problem of drug addiction.
The use of Massive Online Games in game-based learning activities
Authors: Hernández Lorena , Hernández Verónica , Neyra Farah , Carrillo Julieta
Published: March 2022

The popularity of massively multiplayer online games such as Minecraft and Roblox has aroused the attention of teachers and educational researchers in the past decade. The purpose of this paper is to provide preliminary classroom experience using Roblox in game-based learning activities through action research. Convenience and quota sampling were used, intervening in four groups from different educational levels: 1 secondary, 1 high school, and 2 colleges. The learning activities with Roblox were conducted during the 2020-2021 academic year during the COVID-19 pandemic that forced Mexican schools to go digital.  Roblox was used to learn content (like dinosaurs, contagious diseases, system definition) and interpersonal skills (negotiation, cooperation). The participants’ learning perception was explored through quantitative and qualitative data. Findings suggest that students enjoyed the Roblox learning activity as it allowed social interaction between classmates. The students evaluated the learning through the Roblox activity class on different scales (3,08; 3,18; 4,07 and 4,21 on the Likert scale). The results indicate that there are generational differences between groups. Finally, the paper offers concrete suggestions for the use of Roblox in the educational context.
Penyelesaian Sengketa Dalam Perspektif Antropologi Hukum
Authors: Ilham Muhammad , Taufiq M
Published: March 2022

The purpose of this paper is to find a meeting point for the study of legal anthropology in national law that has been in effect in Indonesia. Indonesia's plural society makes it richer in terms of prevailing customs. Of course, each custom has its own ways and criteria for establishing and compiling norms that apply in society. This, as the National law, as the unifier of the prevailing laws in society, certainly seeks to make absolute provisions and implement justice.

This study seeks to find common ground for these matters, so that the study used is a qualitative approach by suggesting the normative side of legal settlement that applies in society.

The results of this study found that there is a meeting point in the study of legal anthropology if it is related to the concept of national law. This effort, of course, must be understood by law enforcers so that every dispute can be preceded by an anthropological aspect of law. This action is expected to have a side of justice that will emerge so that every problem will be able to be resolved.
Strategi Pengembangan Pariwisata Indonesia Bagi Para Investor Pemula
Authors: Nexen Alexandre Pinontoan
Published: March 2022

Pariwisata pada saat ini, mengalami dampak yang cukup signifikan dengan ada pandemi Covid-19. Di mana para pelaku bisnis pariwisata, mulai dari pengelola tempat wisata, travel agent, tempat penginapan sampai dengan para pelaku usaha UMKM yang berada di lokasi wisata mengalami kerugian yang cukup besar. Berbanding terbalik ketika saat sebelum pandemi terjadi, di mana sektor pariwisata merupakan salah satu sumber pendapatan yang sangat startegis. Oleh karena itu, banyak para pelaku usaha di sektor pariwisata “gulung tikar” untuk menutup bisnis yang mereka lakukan. Oleh Karena hal itu, dibutuhkan kerjasama yang itensif dari berbagai sektor, mulai dari pemerintah pusat, Pemerintah daerah, Pemerintah kabupaten sampai dengan para investor yang terlibat dalam hal ini, agar wisatawan lokal dan mancanegara tertarik berkunjung kembali untuk melihat dan menikmati objek wisata yang ada di Indonesia. Investor pemula merupakan salah satu ujung tombak bagi pengembangan pariwisata, mereka merupakan yang akan menjadi mitra pemerintah terkait yang berperan penting pengelolaan destinasi wisata. Oleh karena itu investor pemula dapat mengatur, bahkan memiliki obek wisata tersendiri, sehingga melahirkan pariwisata berbasis masyarakat. Kegiatan pengabdian ini berupa pelatihan yang disampaikan melalui metode ceramah dan diskusi dengan para investor pemula maupun para penggiat pariwisata. Alasan peserta ini dipilih karena pada umumnya para investor pemula dan penggiat wisata ini diproyeksikan sebagai sekelompok orang yang dapat memajukan kepariwisataan serta dapat meningkatkan kesejahteraan para masyarakat di sekitar objek pariwisata. Tujuan pelatihan ini adalah untuk mendapatkan pengembangan pengetahuan, penanaman konsep di bidang pariwisata. Pelatihan ini dilakukan untuk mendapatkan pengembangan pengetahuan, penanaman konsep di bidang pariwisata. Dengan pemaparan materi terdiri dari Potensi Bisnis Wisata, Tantangan External, Tantangan Internal. Hasil dari kegiatan ini ialah  pengembangan pengetahuan, penanaman konsep di bidang pariwisata terkait dengan potensi bisnis wisata, tantangan eksternal dan tantangan internal. Sehingga bisa dikembangkan secara maximal oleh para investor pemula ataupun penggiat wisata.
Edukasi tentang Bagaimana Cara Mencegah Dan Menanggapi Covid-19 di Panti Yatim Indonesia Cabang Kota Tangerang
Authors: Nawiroh Vera  , Oxa Jemie Aditya  , Shintia Maulina  , Rifqa Alya Salsabila  , Resti Melliza Andinie  , Misbahul Anam
Published: March 2022

Pengabdian kepada masyarakat ini dilaksanakan di Panti Yatim Indonesia cabang Kota Tangerang dengan tujuan memberikan pemahaman tentang bagaimana cara mencegah dan menanggapi virus covid-19. Kegiatan pengabdian ini menggunakan metode pelaksanaan pendekatan komunikasi persuasif.  Kami berusaha memberikan informasi seputar pandemi covid-19 dan juga cara pencegahannya. Tak hanya pemberian informasi kami juga saling bertukar pikiran dan informasi pada teman teman kami di Panti Yatim Indonesia Cabang Kota Tangerang. Adapun luaran dari hasil pengabdian adalah; Anak panti mendapatkan pengetahuan tentang penjelasan virus covid-19. Anak panti mengetahui dan memahami tentang bagaimana cara pencegahan terkait covid-19. Anak panti menjadi lebih waspada dan berhati hati dengan adanya pandemi covid-19.
21ST CENTURY DIGITAL TRANSFORMATION: LESSONS FROM AMBROSE ALLI UNIVERSITY, EKPOMA, NIGERIA ADAMAWA
Authors: OVIASUYI PATRICK OSA.
Published: March 2022

This article looks at the benefits of digital transformation to the 21st Century organizations/universities with lessons from the Ambrose Alli University, Ekpoma. The paper discusses the state of digital transformation in the University before May, 2016. Challenges of transmitting from the Analog mode to digital transformation are identified. The evolutionary processes of digital transformation are highlighted. The paper discovers that: Prof. Ignatius A. Onimawo (popularly called digital Vice Chancellor) has successfully keyed Ambrose Alli University, Ekpoma into the 21st world of digital transformation, and prays that subsequent Vice Chancellors will follow his pattern of making the University to rank among the best 10 State Universities in Nigeria. Ambrose Alli University is currently described as the “Most Innovative State University of the Year”. In view of this, the paper submits that: Digital transformation should be on the list of every university’s strategic plan and serious efforts must be made to faithfully implement the plan. Finally, the author recommends that all organizations/universities should embrace and integrate new technologies into their everyday operations.