bluuebunny/crossref_metadata_2025 huggingface dataset:
Treatment with Rituximab in Rheumatoid Pneumoconiosis: A Case Report
Authors: Yasmine Makhlouf , Kaouther Maatallah , Dhia Kaffel , Hanene Ferjani , Wafa Triki , Dorra Ben Nessib , Wafa Hamdi
Published: April 2022

Background:

Caplan's syndrome, also known as rheumatoid pneumoconiosis (RP), is a
rare disease associating pneumoconiosis with rheumatoid arthritis (RA). This is one of the rare
cases evaluating the effect of Rituximab, which was used initially for the treatment of RA, on
pneumoconiosis.

Case presentation:

In this case report, we described a 21-year long-standing history of pneumoconiosis
and its association with RA. A 67-year-old man diagnosed with pneumoconiosis presented
with morning stiffness and symmetrical polyarthritis. Laboratory investigations showed high titers
of rheumatoid factor (RF) and anti-citrullinated protein antibodies. The diagnosis of RA was established
and the patient was put on leflunomide. Then, he was treated with Rituximab, as he did not
respond to leflunomide. The patient showed marked improvement as pain and swelling decreased.
More importantly, Caplan’s nodules stabilized on chest-computed tomography.

Conclusion:

The use of rituximab in pneumoconiosis does not alter the evolution of the pulmonary
nodules. More trials are needed to establish a treatment consensus for RP.
A Systematic Review on Interferon Alpha-Induced Cognitive Impairment
in Hepatitis C Patients
Authors: Khan Mohd Ashif , Kaushik Pallavi , Agarwal Nidhi B. , Garg Aakriti
Published: April 2022

Background and Objective:

Interferon-alpha (IFN-α) is an important treatment modality for the hepatitis
C virus (HCV). However, treatment with IFN-α is often associated with cognitive difficulties in
HCV patients. Thus, this systematic review was performed to assess the effects of IFN-α on cognitive
functioning in patients suffering from HCV.

Methods:

Relevant literature was identified by performing a comprehensive literature search in
major databases including PubMed, clinicaltrials.gov, and Cochrane Central using a combination
of suitable keywords. We retrieved studies that were published from the start of each database until
August 2021.

Results:

Out of 210 articles, 73 studies were selected after removing the duplicates. In the first
pass, 60 articles were excluded. Out of 13 full-text articles, only 5 articles qualified for qualitative
analyses in the second pass. We observed conflicting results concerned with the use of IFN-α and
the risk of neurocognitive impairment in HCV patients.

Conclusion:

In conclusion, we have observed conflicting results regarding the impact of INF-α
treatment on the cognitive functioning of patients suffering from HCV. Thus, there is an urgent
need for an extensive study to evaluate the exact association between INF-αtherapy and cognitive
functioning in HCV patients.
Inflammatory Cytokine Interleukin-6 (IL-6) Promotes the Proangiogenic
Ability of Adipose Stem Cells from Obese Subjects via the IL-6 Signaling
Pathway
Authors: Zhang Yuanyuan , Lv Pengju , Li Yalong , Zhang Yonghui , Cheng Chaofei , Hao Hongbo , Yue Han
Published: April 2022

Background:

The prevalence of obesity, as well as obesity-induced chronic inflammatory
diseases, is increasing worldwide. Chronic inflammation is related to the complex process of angiogenesis,
and we found that adipose-derived stem cells from obese subjects (obADSCs) had proangiogenic
features, including higher expression levels of interleukin-6 (IL-6), Notch ligands and receptors, and proangiogenic
cytokines, than those from control subjects. We hypothesized that IL-6 and Notch signaling
pathways are essential for regulating the proangiogenic characteristics of obADSCs.

Objective:

This study aimed to investigate whether the inflammatory cytokine interleukin 6 (IL-6) promotes
the proangiogenic capacity of adipose stem cells in obese subjects via the IL-6 signaling pathway.

Methods:

We compared the phenotype analysis as well as cell doubling time, proliferation, migration,
differentiation, and proangiogenic properties of ADSCs in vitro. Moreover, we used small interfering
RNAs to inhibit the gene and protein expression of IL-6.

Results:

We found that ADSCs isolated from control individuals (chADSCs) and obADSCs had similar
phenotypes and growth characteristics, and chADSCs had a stronger differentiation ability than
obADSCs. However, obADSCs were more potent in promoting EA.hy926 cell migration and tube formation
than chADSCs in vitro. We confirmed that IL-6 siRNA significantly reduced the transcriptional
level of IL-6 in obADSCs, thereby reducing the expression of vascular endothelial growth factor (VEGF)-
A, VEGF receptor 2, transforming growth factor β, and Notch ligands and receptors in obADSCs.

Conclusion:

The finding suggests that inflammatory cytokine interleukin-6 (IL-6) promotes the proangiogenic
ability of obADSCs via the IL-6 signaling pathway.
Current Prospects for Adrenocortical Carcinoma Pharmacotherapy
Authors: Ławnicka Hanna
Published: April 2022

Adrenocortical carcinoma (ACC) is a rare but very aggressive malignancy of the endocrine system with specific biology characterized frequently by hormonal activity and high aggressiveness, resulting usually in locally-invasive or metastatic disease at the time of initial diagnosis. Despite an intense multidirectional search for novel strategies, there has been no satisfactory improvement in the effectiveness of standard therapy currently used in the clinic. ACC diagnosis usually means poor prognosis. Thus, the necessity to identify and implement novel and more effective treatment of ACC in clinical management remains constantly an ambitious challenge.
The review briefly summarizes the current management of adrenocortical carcinoma and focuses mainly on novel prospects for ACC pharmacotherapy, including targeted therapies, immunotherapy and checkpoint inhibitors, theranostics, and at last, the individualized molecular approach based on the exact identification of specific genetic profile of ACC cells using next-generation sequencing methods as the next-generation perspective for precisely personalized therapy.
Synthesis and Anti-Cancer Applications of Benzimidazole Derivatives - Recent Studies
Authors: Tyagi Yogesh K. , jali Geetan , Singh Ram
Published: April 2022

Background:

Cancer is a life-threatening disease. Anti-cancer drugs are the focus of research. The heterocyclic
molecules like benzimidazole occupy a central position in searching for novel and effective anti-cancer drugs.
The medicinal chemists designed and synthesized several benzimidazole derivatives and conjugates to evaluate them as
potential anti-cancer agents.

Objective:

The purpose of this compilation of literature is to cover the progress of benzimidazole-based anti-cancer
agents, their synthesis, and their evaluation for cancer disease treatment.

Method:

The recent literatures have been collected from various search engines and peer-reviewed journals.

Results:

The compounds like benzimidazole derivatives of dehydroabietic acid, piperidyl benzimidazole carboxamide,
benzimidazole-quinazolinone hybrids, benzimidazole-thiazole conjugate, and benzimidazole pendant cyanopyrimidine
derivatives have been discussed in detail.

Conclusion:

This review article will help the medicinal chemists to design and synthesize benzimidazole-based molecules
and evaluate them as anti-cancer agents.
Design, Synthesis and Evaluation of Benzimidazole Hybrids to Inhibit Acetylcholinesterase
and COX for Treatment of Alzheimer’s Disease
Authors: Kaur Sukhvir , Minhas Richa , Mishra Shivam , Kaur Birpal , Bansal Yogita , Bansal Gulshan
Published: April 2022

Background:

A simultaneous administration of an acetylcholinesterase (AChE) inhibitor and a NSAID as a drug cocktail has been documented to exhibit significantly protective effects in AD patients. But it suffers from poor patent compliance, pharmacodynamics and pharmacokinetic issues.

Objective:

The present study is aimed to design and synthesize a hybrid molecule capable of exhibiting both AChE inhibition and anti-inflammatory activities for de-accelerating the progression of AD. The synthesized molecules will be evaluated for in vitro and in vivo models.

Method:

The present study involves the coupling of ibuprofen or naproxen to varied disubstituted amines (AChE inhibitor pharmacophore) through benzimidazole to develop two series of compounds i.e. IB01-IB05and NP01-NP05.The synthesized compounds were characterized using FTIR, 1H-NMR, 13C-NMR and MS. All compounds were evaluated for in vitro AChE inhibitory and COX inhibitory activities. The most active compound was taken for in vivo evaluation.

Result:

Compounds of series IB01-IB05 are found more potent as compared to NP01-NP05. The maximally potent compound IB04 in in vitro evaluation is selected for in vivo evaluation of memory restoration activity using scopolamine-induced amnesia model in mice. It significantly reverses the scopolamine-induced changes (i.e., escape latency time, mean time spent in target quadrant, brain AChE activity and oxidative stress) in a dose-dependent manner. IB04 at 8 mg/kg is significantly effective in lowering AD manifestation in comparison to donepezil.

Conclusion:

The findings indicate that Benzimidazole hybrids utilizing ibuprofen and pyrrolidine moiety may prove a useful template for the development of new chemical moieties against AD with multiple potencies.
A Review on Novel Herbal Drug Delivery System and its Application
Authors: Murti Yogesh , Agrawal Krishn Kumar , Semwal Bhupesh C. , Gupta Jitendra , Gupta Reena
Published: April 2022

Herbal medicines are nearest to the customary treatment approach than some other conventional or elective medication draws near. They have a few phytoconstituents which are known for their remedial impacts on the body and are utilized for numerous hundreds of years. At the point when researchers used to grow new medications, regular items have their exceptional favorable circumstances, for example, plenteous clinical encounters, and their one-of-¬a-kind assorted variety of chemical structures and organic exercises. Varieties of molecules of herbal origin have been isolated, characterized, and evaluated for pharmacological activity by the investigators. However, phytomolecules need to be appropriately formulated to facilitate their physiological target to give more precise results. This examination expects to audit the writing on natural preparations and to investigate the potential ways used to deliver them so that further development can be done on existing herbal molecules as well as new molecules.
Measured and Calculated Expansion of Polystyrene Beads Comprising
Four Blowing Agents in Hot Silicone Bath and in Water Vapor as Well as in
Extrusion for Boards
Authors: Horacek Heinrich
Published: April 2022

Background:

The published models were sophisticated and described the expansion in dependence on time only in the first stage. The object was to explain the discrepancy between foaming under pressure release XPS and foaming by heat supply EPS by model calculations.

Methods:

The rate of expansion of small samples comprising blowing agent and polystyrene was measured by buoyancy in a silicone bath at 110 °C and that of extrusion on photographs of the vol-ume increase after the nozzle. A viscosity model and a diffusion model were established, and exper-imental data were compared with calculated data.

Results:

The expansion rate in the silicone bath was about 100 times slower than that in extrusion at the same nozzle temperature. The velocity of foaming in the bath by heat supply was observed to be dominated by viscosity and that of foaming under pressure release in extrusion to be stirred by dif-fusion. Calculations according to the viscosity model allowed the description of foaming in silicone, and the diffusion model reproduced the data of extrusion.

Conclusion:

The common feature of both models was their simplicity. According to the models, the efficiency of blowing agents was only dependent on the molecular weight and on the solubility. The time determining influence on foaming was diffusion in extrusion of XPS and viscosity for expan-sion of EPS in silicone bath and water vapor.
Poly[vinylidene difluoride] [PVDF] Nanofibrous Web-Based Piezoelectric
Material: A Futuristic Solution for Flexible Piezoelectric Energy Harvester
Authors: Banerjee Swagata , Bairagi Satyaranjan , Shahadat Mohammad , Ali S. Wazed
Published: April 2022

Piezoelectric materials are gradually becoming attractive materials for research as far as energy harvesting technologies are concerned. The piezoelectric effect is a pressure-driven phenom-enon that is exhibited by various kinds of crystals, ceramics, polymers, and composites. However, polymers are preferred in piezoelectric applications owing to their flexibility and lightweight. They can easily be incorporated into electronic wearables that cover the demand for flexibility which is one of the most important requirements to improve technology. In this regard, the piezoelectric polymers are found as suitable candidates for energy harvesting. The present review provides a conclusive outlook of polymer-based piezoelectric materials in terms of doping of different fillers in different piezoelectric polymers with a special focus on polyvinylidene fluoride [PVDF] polymer to develop flexible energy harvesters. Moreover, the electrospinning process, a composite fabrication technique has been discussed to cover all the aspects of processing and optimization. Based on significant en-ergy storage capacity PVDF-based flexible electrospun web could be effectively used in day-to-day life.
Therapeutic Potential of Diacerein in Management of Pain
Authors: Joharapurkar Amit , Patel Vishal , Jain Mukul
Published: April 2022

Diacerein (DCN), an analogue of rhein (a glycosidal compound of natural origin), is currently
used in the treatment of osteoarthritis and is given a fast-track designation for development to treat epidermolysis
bullosa (EB). It is a nonsteroidal anti-inflammatory drug having disease-modifying properties
in osteoarthritis and anti-inflammatory effects for the treatment of EB. Diacerein has a beneficial effect on
pain relief and demonstrated antioxidant and anti-apoptotic effects, which are useful in renal disease, diabetes,
and other disorders. This review discusses the possible mechanism of diacerein in the management
of pain. The potential role of rhein and diacerein in the treatment of neuropathic, inflammatory and nociceptive
pain is also reviewed. The effect of diacerein and rhein on mediators of pain, such as transient
receptor potential cation channel subfamily V (TRPV1), Substance P, glutamate, inflammatory cytokines,
nitric oxide, matrix metalloproteinases, histamine, palmitoylethanolamide, nuclear factor-kappa B (NFkB),
and prostaglandin, has also been discussed. The data highlights the role of diacerein in neuropathic,
nociceptive and inflammatory pain. Clinical trials and mechanism of action studies are needed to ascertain
the role of diacerein, rhein or their analogues in the management of pain, alone or in combination with
other approved therapies.
Analysis of Blockchain Security Applications in Electronic Health Records
Standardization
Authors: Mishra Princy , Khandelwal Brijesh , Dewangan Bhupesh Kumar
Published: April 2022

Healthcare data is most unorganized and decentralized in many countries including India. EHR (Electronic Health Record) has increased its acceptability and importance as it assists in medical research and helps to backtrack the origin of the disease. EHR may be generated at multiple sources like hospitals, clinics, path labs, or pharmacies. This paper mainly targeted towards understanding the feasibility and different processes, which could be adopted for medical data security for this we perform a systematic literature review. This study aims to explore the existing EHR frameworks, benefits, and challenges, brief comparison, and applicability of different blockchain processes are also studied and presented. As part of the review, we have discussed prior works, the background of blockchain in the healthcare domain, and bibliometric analysis on ample research papers from the year 2011 to 2021.
TÜRKİYE’DE DERS ARAŞTIRMASI KONUSUNDA YAPILMIŞ LİSANSÜSTÜ TEZLERİN İNCELENMESİ
Authors: Kuduz Esra , Saygı Elif
Published: April 2022

Bu çalışmanın amacı, Türkiye’de ders araştırması (lesson study) modeli ile ilgili yapılmış lisansüstü tezlerini, farklı açılardan analiz etmektir. Bu amaca yönelik olarak tezlerin; yayın yılı, bilim dalı, türü, tezde ortaya koyulan amaç, araştırma deseni, örneklem büyüklüğü ve profili, veri toplama araçları ve veri analiz eğilimleri belirlenmiştir. Araştırmanın çalışma grubunu 2012-2019 yılları arasında ders araştırması modeliyle tasarlanmış 30 tez çalışması oluşturmaktadır. Araştırma bir nitel desenle tasarlanmış, elde edilen veriler içerik analizi yöntemiyle analiz edilmiş; frekans ve yüzde tabloları halinde sunulmuştur. Araştırma sonucu, ders araştırması modeliyle ilgili tezlerin daha çok matematik eğitimi bilim dalında ve matematik öğretmenleriyle yapıldığını göstermiştir. Ayrıca ders araştırması modeline ülkemizde 2012 yılı itibariyle ilgi oluştuğu ve son yıllarda bu ilginin artarak devam ettiği belirlenmiştir. Çalışmadaki lisansüstü tezlerin 19 doktora tezi, 11’i yüksek lisans tezidir. Çalışmadaki bulgulara göre örneklem profili öğretmen ve öğretmen adaylarını kapsarken, örneklem büyüklüğü ortalama 5 ya da 7 öğretmendir. Araştırma deseni olarak nitel desen, araştırma modeli olarak ise durum çalışması modeli kullanılırken veri analizi için içerik analizi ve betimsel analizin kullanıldığı saptanmıştır. Verilerin çoğunlukla görüşme, video/ses kaydı ve gözlem yoluyla toplandığı görülmektedir. Tez konularındaki eğilim daha çok mesleki gelişim ve matematiği öğretme bilgisi yönündedir. Tez amaçlarındaki eğilim ise ders araştırması modeli ile çalışma yapıldığında öğretmenlerde ya da öğretmen adaylarının öğretme bilgilerinde meydana gelen değişimleri incelemek, ders araştırması modeli hakkında görüş almak ve modeli değerlendirmektir. Son olarak çalışma kapsamında ulaşılan tezler ve yapılan analizler derlenerek sonraki ders araştırması modeli çalışmalarına dair birtakım öneriler sunulmuştur.
ÜNİVERSİTE ÖĞRENCİLERİNİN GİRİŞİMCİLİK EĞİLİMLERİ ÖLÇEĞİ’NİN ORTAOKUL DÜZEYİNE UYARLANMASI
Authors: Yaman Süleyman , Bal İncebacak Belgin , Sarışan Tungaç Aslı
Published: April 2022

Çalışmanın amacı, ortaokul öğrencilerinin girişimcilik eğitimi sonrasında girişimcilik düzeylerini belirlemek amacıyla bir ölçme aracı uyarlamaktır. Araştırma, Çemrek ve Girginer tarafından geliştirilen ve 30 maddeden oluşan Üniversite Öğrencilerine yönelik Girişimcilik Eğilimleri isimli ölçeğin ortaokul düzeyine uyarlamasının yapıldığı metodolojik geçerlik ve güvenirlik çalışmasıdır. Araştırmanın örnekleminde, 6 farklı ortaokulun 5-8. sınıflarında öğrenim gören toplam 996 öğrenci yer almıştır. Ölçme aracının faktör yapısını ve bu yapının uygunluğunu test etmek için Açımlayıcı Faktör Analizi yapılmıştır. Bu sonuçlar, uyarlanan ölçeğin 3 faktör üzerine kurulabileceğini göstermektedir. Farklı yöntemler kullanılarak bu sonuçlar test edilmiştir. Ölçeğin alt faktörleri "Hedef Odaklılık", "Girişkenlik" ve “İleri Görüşlülük” şeklindedir. Bu çalışmanın sonuçları ölçeğin güvenirlik ve geçerlik yönünden uygun olduğunu ve özellikle ortaokul düzeyinde kullanılabileceğini göstermektedir.
PANDEMİ SÜRECİNDE FEN BİLİMLERİ ÖĞRETMENLERİNİN UZAKTAN FEN EĞİTİMİNE İLİŞKİN GÖRÜŞLERİNİN METAFORLAR YOLUYLA BELİRLENMESİ
Authors: Deniş Çeliker Huriye , Tumru Ömer Faruk
Published: April 2022

Bu araştırmanın amacı fen bilimleri öğretmenlerinin uzaktan eğitime ilişkin algılarını metaforlar yoluyla açığa çıkarmaktır. Araştırmada fenomenoloji deseni kullanılmıştır. Çalışmaya Türkiye’nin farklı illerinde görev yapmakta olan 215 fen bilimleri öğretmeni katılmıştır. Araştırmanın çalışma grubu, gönüllülük esasına dayalı, kolay ulaşılabilir durum örneklemesi ile belirlenmiştir. Veri toplama aracı olarak çevirim içi form kullanılmıştır. Formda fen bilimleri öğretmenlerinin metaforlarını belirlemek amacıyla “Uzaktan fen eğitimi … gibidir çünkü …” cümlesinde gerekli boşlukların uygun bir şekilde doldurulmaları istenmiştir. Fen bilimleri öğretmenlerinden elde edilen demografik bilgiler yüzde ve frekans değerleri verilerek grafikler oluşturularak sunulmuştur. Metaforik veriler ise nitel araştırma yöntemlerinden içerik analizi ile analiz edilmiştir. Katılımcılardan elde edilen metaforların 23 tanesi araştırmaya dahil edilmemiş, 192 metafor analiz edilmiştir. Araştırmada kullanılacak olan metaforlar kategorilere ayrılmıştır. Kategorilere ayırma işlemi iki araştırmacı tarafından yapılmıştır. Analiz sonucunda katılımcı fen bilimleri öğretmenlerinin üretmiş olduğu metaforlar yedi (7) kategori altında toplanmıştır. Bu kategoriler; israf, yetersizlik, ekonomik, iletişim, eğlence, benzetim ve uygun kategorileridir. Bu kategoriler kendi içinde temalara ayrılmıştır. Temalar; israf kategorisi zaman kaybı ve boşa çabalamak; yetersizlik kategorisi psikolojik uzaklık ve kalite; ekonomik kategorisi kolaylaştırıcı ve tasarruf; iletişim kategorisi anındalık, yeni bir durum ve monolog; eğlenceli kategorisi zevkli; benzetim kategorisi gösteri ve soyutlama; uygun kategorisi ise yaşam ve olması gereken temalarına ayrılmıştır.
ANALYSIS OF A TEACHER’S ONLINE TEACHING MATERIAL PLANNING AND DEVELOPMENT PROCESSES: ENGLISH LESSON EXAMPLE
Authors: Uluuysal Betül , Kurt Adile Aşkım
Published: April 2022

The purpose of this study is to analyze an English teacher’s material development process within the ninth-grade English language curriculum in Turkey using an online environment. The data collection process was applied based on the Technology Integration Planning Model, which was selected on a theoretical basis. Data of this study consists of video recordings of teaching in the online environment and the online teaching material development process, as well as a researcher’s diary and a teacher’s diary, a semi-structured interview form, and audio recordings. The collected qualitative data were analyzed using the content analysis method. At the end of the study, the teacher had shown development in both technological competence and their academic field. During the research period, there were some technical and connectivity problems experienced, and it was observed that the teacher showed development in finding solutions to resolve these issues. The research found occupational development activities to be more successful when desire, requirement, expectation and readiness of individual learners were considered. The findings of this study include designing occupational development activities for teacher properties, opportunities and requirements that contribute to teacher motivation and efficiency.
Lise Yöneticilerinin Dönüşümcü Liderlik Tarzları ile Öğretmenlerin İş Doyumu Arasındaki İlişki
Authors: Azimli Günel , Ada Şükrü
Published: April 2022

Bu çalışmada, lise düzeyinde eğitim veren okullardaki yöneticilerin dönüşümcü liderlik tarzları ile öğretmenlerin iş doyumu arasındaki ilişkinin belirlenmesi amaçlanmıştır. Betimsel araştırma modelinde yürütülen çalışma, 2018-2019 öğretim yılında Bursa ili Nilüfer ilçesinde lise düzeyinde eğitim veren resmi ve özel okullarında görev yapan öğretmenler ile gerçekleştirilmiştir. Çalışmada öğretmenlerden elde edilen veriler için betimsel istatistikler, bağımsız grup t-testi, tek yönlü varyans analizi (One Way ANOVA) kullanılmış ve elde dilen sonuçlar karşılaştırmalı analiz yöntemiyle incelenmiştir. Araştırma sonucunda, öğretmenlerin iş doyumlarının ve dönüşümcü liderliğe olan bakış açılarının birçok değişkenden eş zamanlı olarak etkilendiği saptanmıştır. Aynı zamanda öğretmenlerin iş doyum seviyeleri ile dönüşümcü liderliğe yaklaşımları arasında pozitif ve anlamlı bir ilişki olduğu belirlenmiştir. Öğretmenlerin dönüşümcü liderlik tarzını diğer liderlik tarzlarından daha fazla benimsedikleri ve öğretmenlerin daha verimli olmalarının kültürel farklılıklardan çok profesyonel yaklaşımlara bağlı olduğu söylenebilir.
SAĞLIK HİZMETLERİ MESLEK YÜKSEKOKULU ÖĞRENCİLERİNİN ÖĞRENME STİLLERİNİN BAŞARI YÖNELİMLERİ ÜZERİNDEKİ ETKİSİ
Authors: Arslan Aysel
Published: April 2022

Bu araştırmada üniversite öğrencilerinin öğrenme stillerinin başarı yönelimlerini yordaması ve üzerindeki etki düzeyinin belirlenmesi, öğrenme stilleri ile başarı yönelimleri arasındaki korelasyonun yönü ve düzeyinin tespit edilmesi hedeflenmiştir. Araştırmanın modeli olarak tarama modeli benimsenmiş olup veriler kolayda örneklemi yöntemiyle elde edilmiştir. Örneklem grubu Sivas Cumhuriyet Üniversitesinde sağlık alanında öğrenim gören 339 (278 kadın-61 erkek) öğrenciden oluşmaktadır. Araştırma verileri 2020-2021 akademik yılı ikinci yarıyılında “Sağlık Bilimleri Öğrencileri için Öğrenme Stilleri Ölçeği” ve “2x2 Başarı Yönelimleri Ölçeği”nin uygulanmasıyla elde edilmiştir. Elde edilen verilerin analizinde tanımlayıcı istatistikler, Kolmogorov-Smirnov, Pearson korelasyon analizi, basit doğrusal regresyon, DFA ve YEM analiz teknikleri kullanılmıştır. Araştırma bulgularına göre; öğrencilerin öğrenme stilleri ölçeğinin tüm faktörleri ile başarı yönelimleri arasında pozitif yönde orta düzeyde bir korelasyonun olduğu (r=.529) ve görsel öğrenmenin korelasyon düzeyinin diğer faktörlerden daha yüksek olduğu saptanmıştır. Öğrencilerin öğrenme stillerinin başarı yönelimleri üzerinde pozitif yönde etkisinin olduğu ve %29’luk kısmını yordadığı belirlenmiştir. Her bir faktör için uygulanan basit doğrusal regresyonda öğrenme stillerinin faktörleri arasında başarı yönelimlerini en yüksek düzeyde yordayan faktörün görsel öğrenme olduğu (%28) sonucuna ulaşılmıştır. YEM analizi bulgularında ise öğrenme stilleri ölçeğinin tüm faktörlerinin başarı yönelimleri üzerinde pozitif yönde bir etkisi olduğu sonucuna ulaşılmıştır.
Percutaneous Coronary Intervention as Clinical Outcome Predictor for in-Hospital Adverse Events in STEMI patients
Authors: Suryo Santoso Anita , Saifur Rohman Mohammad , Rizal Ardian , Anjarwani Setyasih , Martini Heny , Prasetya Indra
Published: April 2022

Background : Limited resources and the concurrent COVID19 pandemic hinders the appropriate time to achieve reperfusion in Infarct-related artery (IRA). The number of patients receiving late primary PCI (PPCI) and without revascularization are steadily increase within 2 years into the pandemic. The impact of PCI timing in this setting has not been fully elucidated. Objective : This study was conducted to evaluate the effect of early PPCI vs late PPCI vs non revascularization groups towards in-hospital mortality and complications. This study also aimed to determine whether PPCI is the main predictor for in-hospital adverse events in STEMI patients. Method : Data of STEMI patients registered in Saiful Anwar General Hospiital ACS registry were collected between 2018-2021 Patients were subdivided into early PPCI if receiving PCI within the recommended time of the 2017 ESC STEMI management guideline, late PPCI if receiving PCI outside the timeframe provided by the guideline, and optimal medical therapy group if not receiving any means of revascularization. Patients undergoing thrombolysis were excluded. Afterwards, the incidence of in-hospital adverse event were calculated as primary endpoints, development of immediate complications during hospitalizations were analyzed as secondary endpoints. Stratification of baseline characteristics and PCI categorizations were performed using multivariate analysis to determine the main predictor of in-hospital mortality between STEMI patients. Results : 568 STEMI patients were included in the study with 387 in early PPCI, 107 in late PPCI, and 74 in optimal medical therapy group. Incidence of in-hospital mortality were significantly higher in optimal medical therapy group and lowest in early PPCI group (32.4% and 7.5% respectively, P 0.00). Mortality odds ratio between early PPCI group and optimal medical therapy group were significantly lowest (OR 0.17, 95% CI 0.13 – 0.41). Complications between each treatment groups were significantly different with early PPCI had the lowest incidence of in-hospital complications of cardiogenic shock, cardiac arrest, and VT/VF. Stratification of baseline characteristics and PCI category reveals that timing PPCI is the main predictor for in-hospital adverse events (HR 4.506, 95% CI 2.487-6.662, P 0.00). Conclusion : Percutaneous coronary intervention is the main predictor for the incidence of in hospital mortality and complications in STEMI patients.
Myocardial Bridging, a Neglected Anomaly in Acute Coronary Syndrom
Authors: Pangestu Hapsari Gita , Riadhy Tanok Harmany Gabriel , Dionisius Sianipar Daniel , Nugroho Kalandoro Adityo , Sri Mumpuni Sari
Published: April 2022

Background: Myocardial Bridging (MB) is an anomaly characterized by an intra-myocardial route of a segment of one of the major coronary arteries. Functional myocardial bridging is less commonly observed on angiography (0.5–16%) and can range from 4 to 80 mm in length. This case report elaborates about a case of a symptomatic MB occurrence in a patient manifesting as an acute coronary syndrome. Case presentation: A 66 years old female presented to ER with a typical angina gradually increasing since 1 week ago. Associated symptoms were episodic syncope, dyspnea, and dyspepsia. physical examination reveals, vital signs are within normal limits. The cardio-pulmonary examination was unremarkable. Electrocardiogram (ECG) showed inverted T waves on V1-V4, cardiac biomarker enzymes were not increased, chest X-ray revealed an enlarged heart, echocardiography showed a left ventricular hypertrophy (LVH) with normal left ventricle ejection fraction (LVEF). Nitrate, aspirin, and P2Y12 inhibitor were then administered in the ER, and the patient was then transferred to catheterization lab. CT-Angiography showed a MB in the middle left anterior descending (LAD), the patient was then treated with bisoprolol as a maintenance therapy. Conclusion: MB, if presenting symptomatically, especially as an acute coronary syndrome (ACS), may become lifeŧhreatening if not recognized and treated appropriately. Flow normalization and symptom management in such circumstances are best achieved through revascularisation via percutaneous coronary intervention (PCI) and drug therapy by using beta-blocker.
INTRAPROCEDURAL STENT THROMBOSIS DURING PERCUTANEOUS CORONARY INTERVENTION: HOW TO PREDICT
Authors: Aji Bayu , Saifur Rohman Mohammad , Satrijo Budi , Wibisono Arief
Published: April 2022

Background: Intraprocedural stent thrombosis (IPST) during percutaneous coronary intervention (PCI) is an uncommon event that results in a poor outcome including STEMI and sudden cardiac death. Concerns about an increased risk of stent thrombosis with drug-eluting stents (DES) continue, even though the incidence, timing, and predictors of stent thrombosis with DES have not been identified. Objective: This study aimed to describe the diagnosis and management of Intraprocedural Stent Thrombosis. Case presentation: We will discuss a 49 year-old male brought to our hospital because of chest pain while doing moderate activity. One month prior to admission, he had history of acute coronary syndrome and 1 DES on right coronary artery was placed. Ticagrelor and aspirin were routinely consumed as dual antiplatelet therapy. The patient was diagnosed with intraprocedural stent thrombosis during PCI with the evidence of intra-catheter thrombosis and ST segment elevations seen in the ECG monitor. We treat the patient with Ticagrelor 180 mg loading dose and intracoronary unfractionated heparin (UFH) during procedure continued with continuous infusion until 24 hours. No event of subsequent acute coronary syndrome was observed. Conclusion: Intraprocedural Stent Thrombosis was a strong predictor of mortality in STEMI patients. This case showed that the present widespread use of DES instead of BMS for coronary implantation although decreased the future risk of repeat revascularization, increased the risk of thrombosis. Prior risk stratification, potent early antiplatelet treatment and anticoagulant of choice with UFH might be used to reduce the risk of thrombosis in STEMI patients undergoing stent implantation.
An Overview of Research Trend on Merit System in Indonesia and International Practices: A Bibliometric Analysis and Visualization
Authors: Rahmah Mutia , Hamdi Muchlis
Published: April 2022

This study intends to examine how the development of research related to the merit system in Indonesia and international practices. Bibliometric analysis is used to determine the dynamics of the research topics discussed related to the merit system through keywords that appear in the Scopus database until January 7, 2022. Visualization from bibliometric based on co-authorship, co-occurrence, and citation using VOSviewer 1.6.16. This study showed 485 articles had been filtered through the criteria of Open Access, Article, English, and Journal. Six of the 485 articles discussed various aspects of the merit system in Indonesia. In Co-authorship, there are eight of 23 clusters written by more than two people collaborating; the United Kingdom is the highest number of articles published, while Indonesia also appears in the visualization but does not collaborate with affiliated authors from other countries. In co-occurrence, 22 clusters of 1,503 keywords emerge, and 234 meet the threshold. The meritocracy item has the highest link and total link strength, but this item was published on average around the year 2018. In terms of citation, eight of the ten most-cited documents were published more than the last ten years, while the other two documents were published in the last eight years. The document of Pratto f. 1994 was the highest citation document and became an important article related to the merit system discussing social dominance orientation which looks at inequality in social groups.
Primer registro de Nymphaea rubra (Nymphaeaceae) para México
Authors: Castillo-Campos Gonzalo , García-Franco José G. , Pale Pale José de Jesús , Martínez Vázquez M. Luisa
Published: April 2022

Antecedentes y Objetivos: Mientras se realizaba el inventario de la flora acuática de las lagunas en la Isla de Cozumel, Quintana Roo, México, se registraron ejemplares del género Nymphaea con caracteres morfológicos diferentes al taxón ya conocido de la localidad. Por lo anterior, se describe e ilustra a Nymphaea rubra como un nuevo registro para México. Métodos: Se revisaron las colecciones de Nymphaea en los herbarios, CHAPA, CICY, MEXU, UADY, UCAM y XAL para contribuir en la determinación del material colectado de este género en el municipio de San Miguel Cozumel, Quintana Roo, y verificar la carencia de registros de Nymphaea rubra para México.Resultados clave: Después de la revisión de literatura y de material de herbario concluimos que los individuos colectados pertenecen a Nymphaea rubra, un taxón asiático que se encuentra naturalizado en la isla. Esta especie forma parte de la flora de hojas flotantes de la familia Nymphaeaceae en una laguna de la isla, de donde se registra por primera vez.Conclusiones: La nueva especie registrada está asociada con N. ampla en un ambiente similar con la cual vegetativamente tiene cierta similitud morfológica. Sin embargo, Nymphaea rubra se distingue de N. ampla por el tamaño de sus hojas y el tamaño y color fucsia de las flores.
TÜKETİCİ KİŞİLİK YAPISININ MARKA NEFRETİ ÜZERİNE ETKİSİ: FUTBOL TARAFTARLARI ÜZERİNE BİR UYGULAMA
Authors: ÖZEL Melis , ÖCEL Yusuf
Published: April 2022

Amaç: Bu çalışma tüketici kişilik yapısının marka nefreti üzerine etkisini ölçmek amacıyla yapılmıştır.Yöntem: Araştırmanın evrenini Antalya ilinde ikamet eden 18 yaş ve üzeri futbol taraftarları oluşturmaktadır. Çalışmada nicel araştırma yöntemi kullanılmış olup, veriler çevrimiçi anket yöntemiyle elde edilmiştir. Toplamda 405 anket değerlendirmeye alınmıştır. Elde edilen veriler SPSS paket programı kullanılarak analiz edilmiştir. Elde edilen verilere frekans analizi, faktör analizi, regresyon analizi, farklılık analizleri uygulanmıştır.Bulgular: Yapılan frekans analizi sonucunda en fazla nefret oranı Galatasaray taraftarlarının Fenerbahçe’ye karşı olduğu ortaya çıkmıştır. Nefret nedenlerinin ise genel olarak takım taraftarlarının kışkırtıcı davranışlarından olduğu ortaya çıkmıştır. Yapılan regresyon analizi sonucunda ise asi, bilge, vatandaş, kaşif ve bakıcı kişilik yapılarının marka nefreti üzerinde etkileri olduğu ortaya çıkmıştır. Sonuç: Genel olarak futbol taraftarlarında diğer futbol kulüplerine karşı nefret duygusunun olduğu söylenebilir. Bu durumun en büyük nedeni olarak kışkırtıcı davranışların olduğu anlaşılmıştır. En fazla marka nefret duygusunu içinde barındıran kişilik yapılarının ise asi ve bilge kişilik yapıları olduğu anlaşılmıştır.
A Theoretical Approach to Digital Marketing and Usage Channels
Authors: DURMAZ YAKUP , CELIK CETIN
Published: April 2022

Today, new inventions are constantly emerging. These inventions affect almost all areas of our lives and change our lifestyle, mentality and perspective on events. The Internet, and with its digitalization, is one of the important inventions that brought about such changes. Thanks to digitalization, companies have had the opportunity to market their products or services more quickly. Thanks to digitalization, customers and/or consumers can more easily have detailed information about the products that can meet their needs, taking into account criteria such as the price, quality, features and quality of the products they are looking for. In this study, the most used channels in digital marketing, which are the top roof of online marketing activities: digital platforms, mobile applications, social media sites and search engines are emphasized.
Applications of AI in Covid Detection, Prediction and Vaccine Development
Authors: Shinde Rujula Chandrashekhar Shinde , Thorat Bhagyashri Tanaji
Published: April 2022

Abstract: The world has been in a panic since the global outbreak of the deadly virus that is Covid-19. The disease, first observed in Wuhan province of China, causes severe acute respiratory syndrome (SARS) in humans, with fever, shortness of breath, cough, and in some cases, loss of smell and taste as symptoms [3]. To fight the virus, it is important to first detect it efficiently to stop its spread. AI has so far been of great assistance in curbing the disease by assisting in covid diagnosis. This paper focuses on the various novel advances in the field of Artificial Intelligence with applications specific to Covid-19. It first explains the biological properties of the virus followed by different techniques and technologies using AI which includes applications of AI in covid detection, prediction, and vaccine development. Artificial intelligence has been used as an effective early diagnosis technique and also as a model for the prediction of Covid-19 behavior which includes predicting the curve and the mortality rate. Potential challenges and future scope are also discussed. Keywords: AI, Covid-19, Drug discovery, Image processing, medical diagnosis, SARS, Prediction
Stock Market Indices Direction Prediction: Time Series, Macro Economic Factors and Distributed Lag Models
Authors: Das Divyaanshu
Published: April 2022

Abstract: A number of studies have been conducted to model the stock market indices using pure time series models or regression models based on macro economic variables. In this study, instead of focusing on modeling the actual levels of stock market indices I focus on predicting the direction (up/down) as investors who rely on technical analysis are more interested in the direction of stock market index than the actual prediction value. Therefore, in this study I look at best modelling approach for the direction prediction: time series (ARMA) or macro factor models or combination of both (ARDL). My study shows that macro factor models outperform for direction prediction as compared to ARMA or ARDL models. The study was performed on stock market direction prediction of stock indices of three South Asia countries: India, Pakistan and Malaysia. The macro economic factors that are considered for direction prediction are: Inflation, Unemployment and Exchange Rate monthly data from March 2016 to September 2021. Keywords: stock, equity, prediction, models, direction, ARMA, ARDL,macro
Digital Data Forgetting: A Machine Learning Approach
Authors: Vasani Aneri , Shettigar Sahana , Rana Snehlata , Sabnis Prof. Shirish K
Published: April 2022

Abstract: Our lives have become increasingly reliant on data as the globe undergoes a rapid digital change. People nowadays collect a vast amount of data in order to obtain useful information, as the outcomes obtained from them are critical for planning. It's becoming more difficult to acquire and use data on computers as it grows in size. As a result, we may encounter data storage issues in the future. As a result, we propose a machine learning approach called "Digital Data Forgetting" to address this issue. These algorithms will not only delete non-valuable data, but they will also lower the size of the dataset. This is referred to as 'Big Cleaning.' For experimental purposes, we use Principal Component Analysis, K-nearest Neighbours, and Logistic Regression. Keywords: Digital Data Forgetting, Deep Autoencoders, PCA, Cleaning, Machine Learning, Logistic Regression.
A Reviewed Analysis of the Technological Trends in E-Commerce.
Authors: Venkat S. , K Nadeem , Vishal Pasumarthi , Yaseen Shaik , Rana Pooja
Published: April 2022

Abstract: E-commerce stores are growing increasingly popular among all types of enterprises. Ever since the Covid-19 pandemic strike, both Small and Large Enterprises have started to shift their businesses digitally with the help of e-commerce platforms. As a result of this increased popularity, many new technological trends are being introduced in the E-commerce sector. Businesses are attempting to digitalize their operations by creating an effective digitally enhanced E-commerce platform in order to attract new customers and maximize business prospects. Many new technological trends are being introduced so that consumers can get the best digitalized virtual experience. This review paper looks at the technological trends in the e-commerce industry. Knowledge of these new technological trends will undoubtedly assist businesses in strategic planning and aligning their E-commerce sites with the most appropriate technology, thereby increasing client acquisition and business growth rate. Keywords: E-commerce, Technological Trends, AR - VR, Customers, ROPO, Virtual Try-On, Security, Drones, Voice Search, Blockchain, Omni-Channel, Smart Product Recommendation.
Craby Steering System
Authors: Darji Bhavin Sanjay , Dhodi Shubham Viju , Jadhav Shashank Suni , Khan Ibrahim Akram , Gulbarga M. A.
Published: April 2022

Abstract: In present the car steering system is 2 wheel steering system and in conventional steering system there are only two wheels are moving while taking the turn , either forward two or the rear two wheels . While in 4 wheel steering system the rear and front both wheels are act +ive and can guide in steering. Here we using MARUTI-800 car as a reference model. We have developed a optimized 4 wheel steering system for implementation of mechanism that can give the work in changing in-phase and counter-phase steering of rear wheels depending upon the condition of turning and lane changing with respect to front wheels, thus enhancing the manoeuvrability of as edan in accordance with its speed. Keywords: 4 Wheel steering system, octa steering, craby steering mechanism, steering system
Heart Disease Prediction Using Logistic Regression Algorithm
Authors: Randhawan Bhagyesh , Jagtap Ritesh , Bhilawade Amruta , Chaure Durgesh
Published: April 2022

Abstract: Heart - a primary organ of our circulatory system. Which keeps blood that's full of oxygen circulating throughout your body. From past two decades Heart-disease remained as a leading cause of death at global level. Statistics illustrate the lethality of cardiovascular disease by showing the percentage of deaths caused by heart attacks worldwide. Therefore, it is crucial to predict the condition as earliest as possible time. Cardiologist have limitations, they cannot predict heart disease risk to a high degree of accuracy. So, a reliable, accurate and feasible system is required to predict such diseases in time for proper treatment. In order to automate analysis of large and complex medical datasets, Machine Learning algorithms and techniques have been applied. Machine learning techniques have been increasingly used by researchers in the health care industry and by professionals to diagnose conditions related to the heart. A quick and efficient detection technique is needed to reduce the high death rate caused by heart diseases. Here, machine learning algorithms and data mining techniques play a very crucial role. Using machine learning algorithms, this research aims to predict the occurrence of heart disease in a patient. Keywords: Machine Learning, Supervised Learning, unsupervised Learning, Logistic Regression, Cardiovascular diseases
Approaching Internet Fact-Checking Via Crowdsourcing
Authors: Roy Sudhanshu Basu , J Mrs. Jeyasudha
Published: April 2022

Abstract: With the fading popularity of the newspapers, the internet has been the primary source of information for many. People have many sources on the internet that they get their news from. The increased affordability of internet services has led to a great rise in the number of daily internet users. In India alone, the number of internet users has gone up by approximately 146% over the past 5 years. While online newspapers were initially popular, people have taken to alternate sources, the biggest being social media, to receive their news. This poses a serious problem; the possibility of fabricating information and circulating it among the masses as legitimate news from an authentic news agency. This has led to a surge in the amount of 'fake news' people consume on a regular basis. The circulation of fake news has very serious effects, even some as big as affecting election outcomes. The research in this paper is focused on addressing the problem of identifying fake news on the internet via the means of crowdsourcing. Crowdsourcing is the process of obtaining information from a large number of people, typically via the internet. Previous research on the topic has given a standard model for fact-checking via crowdsourcing. This paper aims to address the demerits of previous research papers and improve upon them so as to make crowdsourcing a reliable method of factchecking in an effort to curb the spread of fabricated news on the internet. Keywords: Crowdsource, fact check, fake news, internet
Certificateless Integrity Checking of Group Shared Data on Public Distributed Storage
Authors: . Reshma
Published: April 2022

Abstract: Distributed storage administration supplies individuals with an effective strategy to share information inside a gathering. The cloud server isn't reliable, so loads of far-off information ownership checking (RDPC) conventions are proposed and remembered to be a successful method for guaranteeing the information honesty. Notwithstanding, the vast majority of RDPC conventions depend on the system of customary public key framework (PKI), which has clear security defect and bears enormous weight of testament the board. To stay away from this inadequacy, personality-based cryptography (IBC) is many times decided to be the premise of RDPC. Tragically, IBC has an inborn disadvantage of key escrow. To tackle these issues, we use the method of certificateless mark to introduce another RDPC convention for checking the trustworthiness of information divided between a gathering. In this paper, we propose a novel server-side deduplication scheme for encrypted data. It allows the cloud server to control access to outsourced data even when the ownership changes dynamically by exploiting randomized convergent encryption and secure ownership group key distribution. This prevents data leakage not only to revoked users even though they previously owned that data, but also to an honest-but-curious cloud storage server. In addition, the proposed scheme guarantees data integrity against any tag inconsistency attack. Thus, security is enhanced in the proposed scheme. The efficiency analysis results demonstrate that the proposed scheme is almost as efficient as the previous schemes, while the additional computational overhead is negligible. Keywords: Cloud, Encryption, de-duplication,