bluuebunny/crossref_metadata_2025 huggingface dataset:
As Intenções de abandonar o curso universitário: um estudo de predição e mediação
Authors: Carlotto Mary Sandra , Gonçalves Câmara Sheila
Published: October 2022

A intenção de abandono do curso universitário pode ser considerada uma fase diferenciada e reconhecível que pode ser diagnosticada antes da efetiva decisão de evasão. O estudo possui como objetivos identificar as variáveis preditoras para a intenção de abandono do curso e da avaliação do papel mediador da satisfação com o curso entre a Síndrome de Burnout e a intenção de abandonar o curso. Participaram da investigação 1.169 estudantes universitários que responderam a um instrumento de pesquisa que continha itens como satisfação com o curso, intenção de abandono do curso, escala de avaliação da Síndrome de Burnout, escala de estresse percebido e um questionário sobre dados sociodemográficos, acadêmicos e estressores acadêmicos. As variáveis preditoras foram a Síndrome de Burnout, a menor satisfação com o curso e o estressor muitas disciplinas para cursar. A satisfação com o curso desempenhou papel mediador entre a Síndrome de Burnout e a intenção de abandono do curso.
E. Coli expression of functionally active cellular targeting motif of human focal adhesion kinase
Authors: Healy Judith M. , Yamaguchi Ryuji , Jingamil Hisato
Published: October 2022

Focal adhesion kinase (FAK) is a structurally distinctive cytoplasmic tyrosine kinase which localizes to
cellular focal contacts. Sequences near the C-terrninus of FAK, termed the focal adhesion targeting (FAT) domain,
are responsible for localization of FAK to focal adhesion complexes. Here, we report expression in E. coli of Cterminal fragments of human FAK containing the FAT domain as epitope-tagged fusions. Purified bacterially derived
FAT domains were biologically active and their far ultraviolet circular dichroism spectra showed evidence of
extensive alpha-helical secondary structure,
NMR investigation of a microtubule binding region peptide from human tau ('t) protein
Authors: de Serrano Vesna , Ribeiro Anthony A. , Strittmatter Warren J. , Spicer Leonard D.
Published: October 2022

Solution NMR studies of 1:Dl, an 18-residue microtubule binding peptide from domain 1 of human tau protein, are reported. Using 2D I H NMR (TOCSY, NOESY and ROESY) at 5 and 37 oc, we assigned the resonances of almost all protons of 1:Dl at pH 4.2, 5.8 and 7.3. While overall the peptide is highly disordered, several medium range NOE's give evidence for conformational preferences involving a bend at the T8-Q14 segment of the peptide.
Arginine and peptidyl oximes are able to inhibit both proprotein convertases pcl and furin
Authors: Basak Ajoy , Lazure Claude
Published: October 2022

Various Arginine derivatives bearing a modified carboxyl function such as oxime, hydroxamate, N,O-dimethyl hydroxamate, O-methyl oxime and O-methyloxy carbonyl oxime were able to inhibit the enzymatic activities of hPCl and hfurin towards a fluorescent peptidyl substrate. In an effort to improve the inhibition, a tetrapeptide containing a C-terminal arginine oxime, Arg-Lys-Lys-Arg-CH=NOH was prepared and, together with a side reaction product, Arg-Lys-Lys-Arg-C(NHOH)(OH)-N(OMe)Me, exhibited a much enhanced level of inhibition.
Crystallization and preliminary x-ray analysis of mouse pro-renin converting enzyme
Authors: Blaber Michael
Published: October 2022

Hexagonal crystals (P64) of mouse pro-renin converting enzyme (PRECE) have been grown which diffract to better than 2.5A. A native data set has been collected with 93% completion from 20 to 3.0A. Using molecular replacement, with porcine kallikrein (PPK) as a search model (56% amino acid identity), a solution for a single molecule in the asymmetric unit has been identified. Refinement of the correctly positioned PPK model, against the PRECE dataset, has resulted in a PRECE model with an Rrac10, of24.7% and an Rrrec of32.8%.
Aspartic protease inhibitors: synthesis of a radiolabelled fatty acid linked pepstatin
Authors: Bessodest Michel , Antonakis Kostas , Rougeot Christian , Capony Francoise , Garcia Marcel , Rochefort Henri
Published: October 2022

To improve the bioavailability of the inhibitor of aspartic proteases, pepstatin A, the synthesis of a tritium labelled fatty acid derivative and its condensation with the C-terminal of pepstatine was performed. A comparative study of the inhibition properties of the title compound with pepstatin A was made.
High Accuracy Diagnosis for MRI Imaging Of Alzheimer’s Disease using Xgboost
Authors: Arabi Esraa M. , Mohra Ashraf S. , Ahmed Khaled S.
Published: October 2022

Introduction:

Alzheimer’s disease (AD) is the most epidemic type of dementia. The cause and treatment of the disease remain unidentified. However, when the impairment is still at a preliminary stage or mild cognitive impairment (MCI), the symptoms might be more controlled, and the treatment can be more efficient. As a result, computational diagnosis of the disease based on brain medical images is crucial for early diagnosis.

Methods:

In this study, an efficient computational method was introduced to classify MRI brain scans for patients with Alzheimer’s disease (AD), mild cognitive impairment (MCI), and normal aging control (NC), comprising three main steps: I) feature extraction, II) feature selection III) classification. Although most of the current approaches utilize binary classification, the proposed model can differentiate between multiple stages of Alzheimer’s disease and achieve superior results in early-stage AD diagnosis. 158 magnetic resonance images (MRI) were taken from the Alzheimer’s Disease Neuroimaging Initiative database (ADNI), which were preprocessed and normalized to be suitable for extracting the volume, cortical thickness, sulci depth, and gyrification index measures for various brain regions of interest (ROIs), as they play a considerable role in the detection of AD. One of the embedded feature selection method was used to select the most informative features for AD diagnosis. Three models were used to classify AD based on the selected features: an extreme gradient boosting (XGBoost), support vector machine (SVM), and K-nearest neighborhood (KNN).

Results and Discussion:

XGBoost showed the highest accuracy of 92.31%, precision of 0.92, recall of 0.92, F1-score of 0.92, and AUC of 0.9543. Recent research has reported using multivariable data analysis to classify dementia stages such as MCI and AD and employing machine learning to predict dementia stages.

Conclusion:

In the proposed method, we achieved good performance for early-stage AD (MCI) detection, which is the most targeted stage to be identified. Moreover, we investigated the most reliable features for the diagnosis of AD.
Pelvic Floor Muscle Training for Stress Urinary Incontinence, with and without Biofeedback: A Systematic Review and Meta-analysis of Randomized Controlled Trials
Authors: Leonardo Kevin , Rahman Farhan Haidar Fazlur , Ardaya Radhyaksa
Published: October 2022

Background:

Pelvic floor muscle training (PFMT) with biofeedback is used widely in treating patients with stress urinary incontinence (SUI), despite unclear evidence. We conducted a meta-analysis of the literature to evaluate the efficacy of treatment after PFMT with and without biofeedback in SUI patients.

Methods:

We searched PubMed, CENTRAL, CINAHL, and Science Direct for randomized controlled trials (RCTs) of PFMT with and without biofeedback for SUI. RCTs were screened with our eligibility criteria, and the risk of bias was assessed according to the Cochrane risk of bias tool for randomized trials. The outcomes analyzed were pelvic floor muscle (PFM) strength, incontinence episode, daytime micturition, and nighttime micturition, all measured as mean difference (MD) with 95% confidence intervals (CIs). Heterogeneity and publication bias were analyzed using the I2 test and a funnel plot, respectively.

Results and Discussion:

Pooled analysis of five RCTs involving 207 patients showed that the difference in PFM strength and nighttime micturition between both groups was significant. Although PFM strength improvement favors biofeedback-assisted pelvic floor muscle training (BPFMT) (MD 12.29, 95% CI 2.33, 22.25, p=0.02), in contrast, nighttime micturition was significantly reduced in the PFMT group (MD 0.44, 95% CI 0.12 to 0.77, p=0.007). Differences in incontinence episode and daytime micturition were not significant (MD -0.08, 95% CI -0.57 to 0.41, p=0.75 and MD 0.55, 95% CI -0.36 to 1.46, p=0.24, respectively).

Conclusion:

This meta-analysis showed that BPFMT had a better outcome in improving PFM strength, while nighttime micturition was, on the contrary, better in PFMT only. Meanwhile, no significant differences in incontinence episodes and daytime micturition outcomes were noted between both groups. With the present evidence, routine use of BPFMT is not necessary for current clinical practice.
Comparison and Agreement between Simplified and Three-dimensional Methods for Estimating the Front Crawl Stroke Arm Stroke Efficiency
Authors: Giuliano Anita F. , Correia Ricardo de A. , Feitosa Wellington G. , Beal Lucas , Cardoso Ana Laura R. , Castro Flávio A. de S.
Published: October 2022

Aims:

To compare and verify the agreement of the arm stroke efficiency (ȠF) results obtained by simplified (ȠFS) and three-dimensional (ȠF 3D) methods.

Background:

Arm stroke efficiency (ȠF) estimates how much of the force applied by the swimmers’ upper limbs contribute to their propulsion. To estimate ȠF, in front crawl stroke, three-dimensional (ȠF3D) and simplified (ȠFS) methods are highlighted.

Objective:

To verify if different methods estimate similar arm stroke efficiency values.

Methods:

Ten male swimmers (age: 21.5 ± 2.6 years; height: 1.78 ± 0.05 m; competitive swimming experience: 12.2 ± 5.0 years) were tested in three 25 m front crawl stroke bouts at low, moderate, and high intensities. The ȠF data were obtained after collecting swimming images with six synchronized cameras and later analyzed in motion reconstruction software.

Results:

The mean results of ȠF, respectively for ȠF3D and ȠFS, were: 34.7±2.1% and 47.4±6.4% at a low; 34.8±2.7% and 42.3±3.3% in moderate; and 33.1±2.6% and 32.4±2.9% at high intensity. Along the intensities, ȠF remained similar with ȠF3D and reduced with ȠFS. ȠF was lower with ȠF3D than with ȠFS at low and moderate intensities (p < 0.05) and similar at maximum intensity (p > 0.05).

Conclusion:

At maximum intensity, the ȠF values agree between the methods. The results obtained by both methods were not fully similar. ȠF3D and ȠFS results agree just at high intensity. The differences between the methods may be due to the different variables used to measure ȠF, stroke rate in the ȠFS and three-dimensional hand velocity in the ȠF3D.
ÖĞRETMENLERİN DEĞERLER KAPSAMINDA İSTENMEYEN ÖĞRENCİ DAVRANIŞLARINA YÖNELİK GÖRÜŞLERİNİN İNCELENMESİ
Authors: YAVRUTÜRK Ali Rıza , KAHVECİ Harun
Published: October 2022

Bu araştırmanın amacı, değerler kapsamında istenmeyen öğrenci davranışlarına yönelik öğretmenlerin görüşlerinin incelenmesidir. Temel nitel araştırma yönteminin kullanıldığı bu araştırmada, amaçlı örnekleme yöntemlerinden ölçüt örnekleme tekniği kullanılmıştır. Buna göre araştırmanın çalışma grubu Orta Karadeniz bölgesinde bulunan bir ilçesinde farklı kademe, farklı bölge ve farklı branşlarda görev yapan gönüllü 15 öğretmenden oluşmaktadır. Veri toplama aracı olarak araştırmacılar tarafından geliştirilen yarı yapılandırılmış görüşme formu kullanılmıştır. Görüşme formundan elde edilen veriler kategoriler, kodlar ve frekans değerleri belirtilerek tablolaştırılmış ve ayrıntılı bir biçimde sunulmuştur. Araştırma sonucunda, öğretmenlerin değerler kapsamında sınıf içerisinde karşılaştıkları istenmeyen öğrenci davranışları ile ilgili olarak, öğrencilerin birbirlerine karşı hoş olmayan sözler kullanmaları, birbirlerini şikâyet etmeleri, saldırgan, ya da içine kapanık olmaları, verilen görevleri önemsememesi ve sorumluluk almaması gibi veriler elde edilmiştir. Öğretmenlerin değerler kapsamında istenmeyen öğrenci davranışlarına yönelik çoğunlukla sözlü ikaz, görmezden gelme, olumlu davranışları ödüllendirme ve dikkat çekici etkinlikler planlama gibi disiplin yöntemlerini uyguladıkları ortaya çıkmıştır. Araştırmada ayrıca, öğrencileri değerler kapsamında istenmeyen davranışlar sergilemelerinin nedeni aile ve sosyo-ekonomik durumdan kaynaklı nedenler olduğu ortaya çıkmıştır. Araştırma bulguları alan yazındaki bulgular eşliğinde tartışılmış ve çalışmanın bulgularından yola çıkılarak, değerler kapsamında istenmeyen öğrenci davranışlarının önlenmesi için eğitim paydaşlarına önerilerde bulunulmuştur.
Digital Tools Designed to Obtain the History of Present Illness From Patients: Scoping Review
Authors: Berdahl Carl T , Henreid Andrew J , Pevnick Joshua M , Zheng Kai , Nuckols Teryl K
Published: October 2022

Background

Many medical conditions, perhaps 80% of them, can be diagnosed by taking a thorough history of present illness (HPI). However, in the clinical setting, situational factors such as interruptions and time pressure may cause interactions with patients to be brief and fragmented. One solution for improving clinicians’ ability to collect a thorough HPI and maximize efficiency and quality of care could be to use a digital tool to obtain the HPI before face-to-face evaluation by a clinician.

Objective

Our objective was to identify and characterize digital tools that have been designed to obtain the HPI directly from patients or caregivers and present this information to clinicians before a face-to-face encounter. We also sought to describe outcomes reported in testing of these tools, especially those related to usability, efficiency, and quality of care.

Methods

We conducted a scoping review using predefined search terms in the following databases: MEDLINE, CINAHL, PsycINFO, Web of Science, Embase, IEEE Xplore Digital Library, ACM Digital Library, and ProQuest Dissertations & Theses Global. Two reviewers screened titles and abstracts for relevance, performed full-text reviews of articles meeting the inclusion criteria, and used a pile-sorting procedure to identify distinguishing characteristics of the tools. Information describing the tools was primarily obtained from identified peer-reviewed sources; in addition, supplementary information was obtained from tool websites and through direct communications with tool creators.

Results

We identified 18 tools meeting the inclusion criteria. Of these 18 tools, 14 (78%) used primarily closed-ended and multiple-choice questions, 1 (6%) used free-text input, and 3 (17%) used conversational (chatbot) style. More than half (10/18, 56%) of the tools were tailored to specific patient subpopulations; the remaining (8/18, 44%) tools did not specify a target subpopulation. Of the 18 tools, 7 (39%) included multilingual support, and 12 (67%) had the capability to transfer data directly into the electronic health record. Studies of the tools reported on various outcome measures related to usability, efficiency, and quality of care.

Conclusions

The HPI tools we identified (N=18) varied greatly in their purpose and functionality. There was no consensus on how patient-generated information should be collected or presented to clinicians. Existing tools have undergone inconsistent levels of testing, with a wide variety of different outcome measures used in evaluation, including some related to usability, efficiency, and quality of care. There is substantial interest in using digital tools to obtain the HPI from patients, but the outcomes measured have been inconsistent. Future research should focus on whether using HPI tools can lead to improved patient experience and health outcomes, although surrogate end points could instead be used so long as patient safety is monitored.
Co-design Process of a Digital Return-to-Work Solution for People With Common Mental Disorders: Stakeholder Perception Study
Authors: Engdahl Patrik , Svedberg Petra , Lexén Annika , Tjörnstrand Carina , Strid Catharina , Bejerholm Ulrika
Published: October 2022

Background

Service users and other stakeholders have had few opportunities to influence the design of their mental health and return-to-work services. Likewise, digital solutions often fail to align with stakeholders’ needs and preferences, negatively impacting their utility. mWorks is a co-design initiative to create a digital return-to-work solution for persons with common mental disorders that is acceptable and engaging for those receiving and delivering the intervention.

Objective

This study aimed to describe stakeholder perceptions and the involvement of a design process during the prototype development of mWorks.

Methods

A co-design approach was used during the iterative development of mWorks. Overall, 86 stakeholders were recruited using a combination of purposeful and convenience sampling. Five stakeholder groups represented service users with experience of sick leave and common mental disorders (n=25), return-to-work professionals (n=19), employers (n=1), digital design and system developers (n=4), and members of the public (n=37). Multiple data sources were gathered using 7 iterations, from March 2018 to November 2020. The rich material was organized and analyzed using content analysis to generate themes and categories that represented this study’s findings.

Results

The themes revealed the importance of mWorks in empowering service users with a personal digital support solution that engages them back in work. The categories highlighted that mWorks needs to be a self-management tool that enables service users to self-manage as a supplement to traditional return-to-work services. It was also important that content features helped to reshape a positive self-narrative, with a focus on service users’ strengths and resources to break the downward spiral of ill health during sick leave. Additional crucial features included helping service users mobilize their own strategies to cope with thoughts and feelings and formulate goals and a plan for their work return. Once testing of the alpha and beta prototypes began, user engagement became the main focus for greater usability. It is critical to facilitate the comprehension and purpose of mWorks, offer clear guidance, and enhance motivational and goal-setting strategies.

Conclusions

Stakeholders’ experience-based knowledge asserted that mWorks needs to empower service users by providing them with a personal support tool. To enhance return-to-work prospects, users must be engaged in a meaningful manner while focusing on their strengths and resources.
Digital Health at Enterprise Scale: Evaluation Framework for Selecting Patient-Facing Software in a Digital-First Health System (Preprint)
Authors: Shapiro Martin , Renly Sondra , Maiorano Ali , Young Jerry , Medina Eli , Neinstein Aaron , Odisho Anobel Y
Published: October 2022

UNSTRUCTURED

The digital transformation of our health care system will require not only digitization of existing tools but also a redesign of our care delivery system and collaboration with digital partners. Traditional patient journeys are reactive to symptom presentation and delayed by health care system–centric scheduling, leading to poor experience and avoidable adverse outcomes. Patient journeys will be reimagined to a digital health pathway that seamlessly integrates various care experiences from telemedicine, remote monitoring, to in-person clinic visits. Through centering the care delivery around the patients, they can have more delightful experiences and enjoy the quality of standardized condition pathways and outcomes. To design and implement digital health pathways at scale, enterprise health care systems need to develop capabilities and partnerships in human-centered design, operational workflow, clinical content management, communication channels and mechanisms, reporting and analytics, standards-based integration, security and data management, and scalability. Using a human-centered design methodology, care pathways will be built upon an understanding of the unmet needs of the patients to have a more enjoyable experience of care with improved clinical outcomes. To power this digital care pathway, enterprises will choose to build or partner for clinical content management to operationalize up-to-date, best-in-class pathways. With this clinical engine, this digital solution will engage with patients through multimodal communication modalities, including written, audio, photo, or video, throughout the patient journey. Leadership teams will review reporting and analytics functions to track that the digital care pathways will be iterated to improve patient experience, clinical metrics, and operational efficiency. On the backend, standards-based integration will allow this system to be built in conjunction with the electronic medical record and other data systems to provide safe and efficient use of the digital care solution. For protecting patient information and compliance, a security and data management strategy is critical to derisking breeches and preserving privacy. Finally, a framework of technical scalability will allow digital care pathways to proliferate throughout the enterprise and support the entire patient population. This framework empowers enterprise health care systems to avoid collecting a fragmented series of one-off solutions but develop a sustainable concerted roadmap to the future of proactive intelligent patient care.
Mobile Health–Supported Active Syndrome Surveillance for COVID-19 Early Case Finding in Addis Ababa, Ethiopia: Comparative Study (Preprint)
Authors: Bisrat Haileleul , Manyazewal Tsegahun , Fekadu Abebaw
Published: October 2022

BACKGROUND

Since most people in low-income countries do not have access to reliable laboratory services, early diagnosis of life-threatening diseases like COVID-19 remains challenging. Facilitating real-time assessment of the health status in a given population, mobile health (mHealth)–supported syndrome surveillance might help identify disease conditions earlier and save lives cost-effectively.

OBJECTIVE

This study aimed to evaluate the potential use of mHealth-supported active syndrome surveillance for COVID-19 early case finding in Addis Ababa, Ethiopia.

METHODS

A comparative cross-sectional study was conducted among adults randomly selected from the Ethio telecom list of mobile phone numbers. Participants underwent a comprehensive phone interview for COVID-19 syndromic assessments, and their symptoms were scored and interpreted based on national guidelines. Participants who exhibited COVID-19 syndromes were advised to have COVID-19 diagnostic testing at nearby health care facilities and seek treatment accordingly. Participants were asked about their test results, and these were cross-checked against the actual facility-based data. Estimates of COVID-19 detection by mHealth-supported syndromic assessments and facility-based tests were compared using Cohen Kappa (κ), the receiver operating characteristic curve, sensitivity, and specificity analysis.

RESULTS

A total of 2741 adults (n=1476, 53.8% men and n=1265, 46.2% women) were interviewed through the mHealth platform during the period from December 2021 to February 2022. Among them, 1371 (50%) had COVID-19 symptoms at least once and underwent facility-based COVID-19 diagnostic testing as self-reported, with 884 (64.5%) confirmed cases recorded in facility-based registries. The syndrome assessment model had an optimal likelihood cut-off point sensitivity of 46% (95% CI 38.4-54.6) and specificity of 98% (95% CI 96.7-98.9). The area under the receiver operating characteristic curve was 0.87 (95% CI 0.83-0.91). The level of agreement between the mHealth-supported syndrome assessment and the COVID-19 test results was moderate (κ=0.54, 95% CI 0.46-0.60).

CONCLUSIONS

In this study, the level of agreement between the mHealth-supported syndromic assessment and the actual laboratory-confirmed results for COVID-19 was found to be reasonable, at 89%. The mHealth-supported syndromic assessment of COVID-19 represents a potential alternative method to the standard laboratory-based confirmatory diagnosis, enabling the early detection of COVID-19 cases in hard-to-reach communities, and informing patients about self-care and disease management in a cost-effective manner. These findings can guide future research efforts in developing and integrating digital health into continuous active surveillance of emerging infectious diseases.
Gendered-Perspective Agile Leadership in the VUCA Era During the Covid-19 Pandemic
Authors: Nurhaeni Ismi D. A. , Nurdin Asbiyal , Wiratama Prama , Kurniawan Yusuf
Published: October 2022

This study was to formulate a gender-responsive agile leadership model during the Covid-19 pandemic. A systematic literature review using PRISMA methods and field research on 18 purposely selected mid-level managers was conducted. The research discovers that first, agile leadership characteristics can be classified into individual and organizational dimensions. Individual characteristics include the personal values of agile leaders with good personalities. Organizational characteristics are characteristics to maintain and bring the organization to face a fast-changing and uncertain world. Second, the characteristics of gender-perspective leadership in the Covid-19 era are the commitment to change the management system, organizational culture, and the quality of leadership to promote gender equity. Finally, the Gendered-Perspective Agile Leadership model in the VUCA era during the Covid-19 pandemic is a leadership model that can quickly respond to gender issues through management system change, organizational culture, and character development of leaders oriented to individual and organizational characteristics. Individually trained leader characters are supposed to be intelligent, optimistic, communicative, accountable and compassionate, while organizationally oriented leader characters are adaptive, responsive, innovative, flexible, and transparent. This paper uses thematic analysis to fill the gap of the gendered-perspective agile leadership model by exploring the characteristics of gendered- perspective agile leadership in the COVID- 19 era.
Lactobacillus Species as Probiotics: Isolation Sources and Health Benefits
Authors: Al-Yami Ameera M. , Al-Mousa Abeer T. , Al-Otaibi Sarah A. , Khalifa Ashraf Y.
Published: October 2022

Recently, the attention to exploring and applying probiotics has been increased. Probiotics are living microscopic organisms that have valuable impacts on health when consumed in adequate amounts. One of the most popular widespread utilized probiotics for many years until now is the Lactobacillus species which exemplifies the hugest heterogeneous group among the lactic acid bacteria (LAB) that normally occupy many environments that contain high nutrient levels such as soil, humans, waters, plants, animals and even air without causing any illness. The purpose of this work is to review and demonstrate the wide diversity of lactobacilli isolation sources and related health benefits applications of the strains discovered in order to break the familiar sources of lactobacillus spp., thereby encouraging more research into unconventional sources and opening up opportunities for clinical applications of Lactobacillus spp. As a result, the isolation sources of lactobacillus spp. in this review have been split into two groups based on the environmental condition, including fermented and non-fermented habitats described as lactobacilli probiotic sources. The unique Lactobacilli isolated from various sources are regarded as potential therapies for a variety of illnesses and physiological abnormalities, including immunomodulation, suppression of carcinogenesis, and cholesterol reduction, in addition to their capacity to guard against infections. This will be highly significant for revealing updated information about Lactobacillus spp. that has attracted considerable attention due to its potential application in clinical practices.
Osmotic Dehydration Process Optimization of Papaya
Authors: Narang Happy , Kumbhar B. K. , Shekhar Gargi
Published: October 2022

Abstract: An investigation was carried out to study the effect of processing parameters on osmotic dehydration in sugar solution and liquid jaggery and to evaluate the quality of the osmotically dehydrated product after tray drying. A Box-Behnken design was used to optimize the level of concentration (500 , 600 , 700 ), temperature (350 ,400 ,450 ), solution to sample ratio (2, 3.5, 5) and agitation (0,100,200rpm). Optimization was done on the basis of overall acceptability. The samples were analyzed for drying characteristics, proximate analysis (moisture content, titratable acidity) and sensory evaluation. Investigations indicated that the lowest moisture content observed was at high levels of operating conditions ( 700 Brix, 450 C, ratio – 5 and agitation – 200 rpm) , while the highest was at low levels of parameters i.e. 500 Brix, 250 C, ratio – 2 and no agitation. The moisture content after the osmotic treatment was in the range between 51.81 and 70.38 % (w.b.) while the final moisture content after tray drying varied from 15.11 – 19.20 % (w.b.). It was also found that weight of the material was reduced by more than 50% using osmotic dehydration. The water loss was in range 27.43- 58.96%, based on initial solid content. On the basis of studies conducted using RSM, the optimum operating condition observed in case of osmotic dehydration process with sugar solution was 69.5 % concentration, 44.5 0C temperature, solution to sample ratio was 2 and agitation speed was 185 rpm while in liquid jaggery solution the optimum operating condition observed was 59.5 % concentration, 38 0C temperature, solution to sample ratio was 5 and agitation speed 185 rpm. The product osmotically dehydrated in sugar solution was found to be better than that when it was osmotically dehydrated in liquid jaggery as overall acceptability value of sugar solution was more than jaggery solution.
Application of System Linear Diophantine Equations in Balancing Chemical Equations
Authors: Pandichelvi V. , Saranya S
Published: October 2022

Abstract: In this manuscript, the step by step procedure for how the system of linear Diophantine equations are applied to balance chemical equations acquired by the reactions of various chemical compounds and their products is scrutinized.
Prediction of Diabetes Using Ensemble Learning
Authors: Nithin V. Joe , Setty Prof. S. Pallam
Published: October 2022

Abstract: Diabetes mellitus is a chronic condition that influences everyday life of the individual having this disease. Diabetes can only be treated to maintain controlled blood glucose levels than to achieve a permanent cure to lead a normal life. As the proverb goes, “prevention is better than cure”, this model aims at “predicting the probability”, of getting this condition, which help early prognosis enough to either avoid it or delay it. Ensemble method is used for prediction of probability of getting diabetes. Classification models in machine learning are used for decision making and enlisted in sequence of accuracy. Hyperparameters are tuned for top five accurate models. Comparison of different classifiers are carried out and then subjected to voting to choose the best possible method of prediction. Voting is carried out in hard voting and soft voting procedures. The results obtained are better compared to general classifiers individually
E-democracy as Ideological Basis of Public Administration Digitalization: Contradictions
Authors: Solina Evgeniia A.
Published: October 2022

The electronic form of democracy carries the potential to resolve the crisis of the systems of the modern democratic structure, but recently its concept has been increasingly criticized. In this regard, researchers are interested in identifying the causes of this trend. The author suggests that the essence of the problem of e-democracy is in its internal contradictions: a) the convergence of the concept with other theories of democracy; b) ethical issues of the ICT exploitation within the political sphere. The former includes the combination in a single construction of fundamental features of both direct, deliberative and representative democracy in a single construction; substitution of the principles of direct democracy by the principles of plebiscite democracy; multidirectional aspirations expressed in involvement with the simultaneously existing internal apathy to the political sphere. Ethical contradictions: maximizing transparency with high manipulability; independence of decisions with controversial anonymity; reducing bureaucratic procedures as fraud acts increase; reduced number of absentists with persisting distrust of the system. Also, the methods of e-democracy within one society can create premises for both digital authoritarization and the strengthening of the role of civil society.
Transnationalism as a Key Trend of Regional Self-government in the Basque Country
Authors: Frolova Yulia N.
Published: October 2022

The paper is dedicated to the issues of transnationalism and development of nationalism in Basque self-government. In 2021, the Basque Country resumed the debate on updating the Statute of Guernica (the Statute of Autonomy of the Basque Country, 1979). These debates are backed by the Parliament of the Basque Country. Some key points of this discussion and current Basque regional initiatives in the European Union attract attention and may indicate the development of nationalism in the context of transnational trends and the forming of new regional identity. Methodology of the article is based on the transnationalism theory and the concept of coexistence of postnational and national as simultaneous or competing forms. Transnationalism is not a brand-new idea to Basques: some traces of transnational identity may be found in previous history. In most cases one talks about Basque nationalism (not transnationalism) referring to the period of ETA terrorist group activity which lasted till the beginning of 2010th. Since the end of the terrorist era the need for new terms and definitions for Basques nationalist movement is recognized. Despite the current high level of opponents of independence, the society is still not satisfied with the level of self-government. As a result, the problem of nationalism is greatly modified in Basque society: this is no longer a demand for the creation of an independent state, but a request for a new level of relations between the Basque Country and Spain, the Basque Country and European Union, the Basque Country and other regions; this is the demand for forming and recognition of new European regional identity. The study provides the evidence for defining this new stage in Basque self-determination movement as a nationalist and transnationalist one at the same time. In terms of this definition the concept of “Europe of the regions” is becoming relevant again and the whole situation may provide the basis for nationalist development in other European regions with similar issues.
Psychological Contract and Employee Retention: The Role of HR
Authors: Okolie Ugo C. , Memeh Jude N.
Published: October 2022

Understanding the individual and organizational consequences of breach of psychological contract justifies continuing research into the phenomenon. The global competition which has altered business environment has engineered the need for organizations to devise new ways to survive, enhance performance, retaining skilled employees and ensure healthy and progressive relationship between employers and their employees. Today, the biggest challenge that organizations are facing is not only managing its human resource but also retaining them. Securing and retaining skilled employees play an important role for any organization, because the knowledge and skills of employees have become highly important in gaining competitive advantage. It is against this backdrop that this paper explored the concepts of psychological contract and employee retention, the of impact psychological contract on employee retention and HR practices that influences the state or nature of the psychological contract and employee retention. The paper also peeps into the effect of covid-19 on psychological contract and employee retention. The paper adopted qualitative research design as it relies on secondary data collected from documentations through books, internet sources and journal articles and were content analyzed in relation to the scope of the study. The paper concludes that a significant important should be accorded to the informal contract of employment to ensure fulfillment of obligations and expectations to retain competent and skilled workforce. Thus, the paper recommends among others that Organizations should encourage flexible working arrangements such as telecommuting and prevent discrimination and exclusion relating to Covid-19 pandemic.
The role of corporate governance in increasing risk reporting: A comparative study of emerging markets companies
Authors: Fujianti Lailah , Nelyumna Nelyumna , Yasa Rizki Ramadhan Putra , Shahimi Shahida
Published: October 2022

The purpose of this study is to explore the level of presentation of risk information reports called risk reporting (RR) in the annual reports of Indonesian and Malaysian non-financial companies. In addition, this study aims to empirically examine the role of corporate governance (CG) in presenting RR and compare its role in the two countries. The method used in this study is content analysis with 113 samples of Indonesian companies and 70 Malaysian companies. The results showed that the board of directors (BD) of Indonesian companies represented by the board of commissioners and independent commissioners and the boards of Malaysian companies represented by the board of directors and independent directors had the same role, in line with the research of Yubiharto and Rudianti (2021), and Yermack (1996). However, in Indonesia, it plays a role in increasing the number of RRs, while in Malaysia, it is the opposite. The results of this research are also preliminary evidence that there is a difference in the role of the CG structure, which is a two-tier and one-tier system.
Working Memory and Sensory Memory in Subclinical High Schizotypy: An Avenue for Understanding Schizophrenia?
Authors: Haigh Sarah , Berryhill Marian , Kilgore-Gomez Alexandrea , Dodd Michael
Published: October 2022

The search for robust, reliable biomarkers of schizophrenia remains a
high priority in psychiatry. Biomarkers are valuable because they can
track symptom progression and monitor treatment progress, and may
predict who is at-risk of developing schizophrenia in the future.
Despite the existence of various promising biomarkers that relate to
symptoms across the schizophrenia-spectrum, and despite published
recommendations encouraging multivariate metrics, they are rarely
investigated simultaneously within the same individuals. In those with
schizophrenia, the magnitude of purported biomarkers is complicated by
comorbid diagnoses, medications, and other treatments. Here, we argue
two points. First, we reiterate the importance of assessing multiple
biomarkers simultaneously. Second, we argue that investigating
biomarkers in those with schizophrenia-related traits (schizotypy) in
the general population can accelerate progress in understanding the
mechanisms of schizophrenia. We focus on biomarkers of sensory and
working memory in schizophrenia and their smaller effects in individuals
with nonclinical high schizotypy. We note irregularities across research
domains leading to the current situation in which there is a
preponderance of data on auditory sensory memory and visual working
memory, but markedly less in visual (iconic) memory and auditory working
memory. This imbalance is particularly evident when focusing on
schizotypy. Together, this review highlights opportunities to address
gaps in knowledge. We conclude by highlighting the theory that early
sensory memory deficits contribute negatively to working memory and vice
versa. This presents a mechanistic perspective where biomarkers may
interact with one another and impact schizophrenia-related symptoms.
SHORT REPORT: Rapid Corticosteroid-induced reduction of blood glucose levels in a patient with a hereditary iron transport disorder
Authors: Diamandis Dr. Carolina , Seideman David , Smith Lucas , Gangnon Martin , Makri Sofia
Published: October 2022

We report the case of a patient who suffers from hypotransferrinemia due
to a genetic defect, subsequently suffers organ damage due to
non-transferrin bound iron (NTBI) and develops a paradoxical reaction of
glucose metabolism as a result of treatment with corticosteroids. To our
knowledge, this is the first description of such an effect in the
medical literature. The mechanism and further course of this phenomenon
are currently still in the dark. Due to its peculiarity, we therefore
publish only the clinical key data for the time being
A federated learning differential privacy algorithm for non-Gaussian heterogeneous data
Authors: Wu Weisan , Yang Xinyu
Published: October 2022

Multi-center heterogeneous data is a hot issue in federated learning
nowadays. The data of clients and centers do not follow the normal
distribution, which brings great challenges to learning. Based on the
assumption that the client data with multivariate skewed normal
distribution, we improve the DP-Fed-mv-PPCA model. We use a
Bayesian framework to construct prior distributions of local parameters,
and use Expectation Maximization (EM) algorithm and pseudo-Newton
algorithm to obtain robust estimates of parameters. Then, the clipping
algorithm and Differential Privacy (DP) algorithm are used to solve the
problem that the model parameters do not have the display solution and
achieve the privacy guarantee.
Antiepileptic medications and antidepressants for neuropathic pain: a meta-analysis
Authors: Li Jun , Zhu Chunxiang , Yang Yun , Li Xiaomin
Published: October 2022

Objective: To evaluate the safety and efficacy of antidepressants and
antiepileptic drugs in the treatment of neuropathic pain. Methods:
Cochrane library, PubMed, Embase, CNKI, Wanfang, and other databases
were searched using RevMan 5.3 software for data analysis to collect
randomized controlled studies comparing antiepileptics and
antidepressants for neuropathic pain. Results: This study enrolled a
total of 1073 participants in 16 randomized controlled trials.
Antiepileptic drugs and antidepressants ought to improve neuropathic
pain patients’ treatment scores [OR=1.10, 95% CI(0.64 to 1.89), P
=0.74], pain relief rate [OR=1.10, 95% CI(0.64 to 1.89), P
=0.74], and incidence of adverse reactions [OR=0.94, 95% CI(0.48 to
1.85), P =0.87] without showing a statistically significant
difference; The results of the single-agent study revealed that only
pregabalin, as opposed to venlafaxine, had a significant effect on pain
scores; the subgroup analysis revealed that publication bias had no
effect on the study’s findings. The heterogeneity may stem primarily
from different follow-up durations and drug types. Conclusion: There is
no clear distinction between adverse effects and effectiveness.
Construction and Validation of a Necroptosis-Related Prognostic Model for Lung Adenocarcinoma and The Correlation with Tumor Microenvironment
Authors: Ye Lei , Zhang Xinyang , Li Chong
Published: October 2022

Background: Adenocarcinomas of the lung (LUAD) constitute the most
common type of non-small cell lung cancer (NSCLC), which is experiencing
the fastest rate of growth. Unlike apoptosis, necroptosis is a new type
of programmed cell death that plays a critical role in cancer biology.
In this study, a necroptosis-related prognostic model was examined in
relation to LUAD prognosis. Method: We downloaded lung adenocarcinoma
samples from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus
(GEO). Necroptosis-related genes were compiled from Kyoto Encyclopedia
of Genes and Genomes (KEGG) databases. Differentially expressed
necroptosis-related genes and the prognostic value of
necroptosis-related genes were identified using the “Limma” package in
R and univariable Cox regression analysis. the least absolute shrinkage
and selection operator (LASSO) COX were performed to screen the the
necroptosis-related genes (NRGs) and establish the prognostic prediction
model. To explore potential functions and pathways, functional
enrichment, ESTIMATE algorithm, and single-sample Gene Set Enrichment
Analysis (ssGSEA) were applied. We also explored the relation between
risk score and immune checkpoint. The data downloaded from Gene
Expression Omnibus (GEO), the Human Protein Atlas and Timer database
were used for external validation. Result: Based on 8 genes related to
necroptosis, we constructed a prognostic model. The data from The Cancer
Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) was divided into
high-risk group and low-risk group, respectively. The high-risk group
had a significantly worse prognosis than the low-risk group. An
independent factor influencing OS was the risk score. Nomograms were
constructed by risk score and clinical data. These NRGs were mainly
related to adaptive immune response regulation, according to the result
of functional analysis. Conclusion: In conclusion, the eight-gene
prognostic model could be used to predict the prognosis of patients with
lung adenocarcinoma (LUAD). We also explored the relationship between
this model and tumor microenvironment.
Color Printing Based on 3MF: Color Diffusion from the Surface to the Interior of Voxel Model
Authors: Liu Ruiying , yang weidong , Li Haixia , Wang Yuanyuan , Wang Haoyu
Published: October 2022

Full-color 3D printing technology has become more and more popular for
industrial manufacturing applications. The voxelization of color 3D
models and the expression of appearance colors become more and more
important. To illustrate the complex appearance and internal
characteristics of 3D models, we present a voxelization algorithm of the
color 3D models for color 3D printing in this paper. Specifically, we
use the 3D model of 3MF with color appearance features for surface
voxelization first. Then, we propose an improved scan line filling
algorithm to realize the voxelization of the interior of the model and
obtain the color voxel model. Finally, to improve the high quality of
color printing, we propose a surface color inward diffusion algorithm,
which can make the surface color of the voxel model diffuse inward and
further express the surface color of the voxel model. The experimental
results show our proposed method can obtain an effective color voxel
model and accurately. express the color of the voxel model surface,
which can enhance the color effect of the color model and realize the
control of voxels.
A case of Atlanto-axial instability following Skull base osteomyelitis: tips for diagnosis and management
Authors: roohollahi faramarz , Iranmehr Arad , andalibi Ehsan fatahi
Published: October 2022

Here we discuss a diabetic 54 years old female presented with malignant
otitis externa and bilateral facial paresis followed by cervical
spondylitis and C1-C2 instability. Skull base osteomyelitis confirmed by
clinical presentation, imaging, and lab data. Fortunately, she responded
well to anti-bacterial and antifungal therapy.
Diagnosis of an Annular Rash in an Adult with Multiple Risk Factors: A case report
Authors: Schnittka Emma , Lanpher Nick , Haggag Akram
Published: October 2022

With a wide variety of associated diseases, proper diagnosis and
treatment of annular rashes can prove clinically challenging. It is
essential to remain vigilant of atypical presentations of disease and to
complete a comprehensive history, physical, and workup to ensure optimal
patient care.