bluuebunny/crossref_metadata_2025 huggingface dataset:
Content difference of 1-deoxynojirimycin in fifty varieties and its correlation with viability of the edible insectBombyx mori (Lepidoptera: Bombycidae)
Authors: Xiao Y. , Shen W.Z. , Li Q.R. , Xing D.X. , Yang Q.
Published: March 2023

Silkworm (Bombyx mori) is a traditional edible insect. Whole silkworm powder contains 1-deoxynojirimycin (DNJ). DNJ is an alpha-glucosidase inhibitor with hypoglycaemic activity. The silkworm cannot synthesise DNJ by itself, most of the DNJ in silkworm is obtained by the consumption of mulberry leaves. In this study, the DNJ content of silkworm in different developmental stages and that of 50 representative resource varieties were measured, its correlation with viability of the variety was analysed. The results showed that silkworms at the peak feeding point of the 3rd instar had the highest DNJ content in seven development stages from the 2nd instar to the pupa stage. There was a large difference in the content of DNJ among varieties. The average DNJ content was 7.528 mg/g and the distribution of DNJ content among varieties conformed to the normal distribution (P>0.05). The varieties could be divided into three clusters according to DNJ content, and the DNJ content in cluster III, which contained 11 varieties was higher than other clusters. There were significant differences among polyvoltine species, Chinese species, and Japanese species, and significant differences between colour-cocoon varieties and white-cocoon ones. DNJ content in silkworm larvae was significantly correlated with larval survival rate and larva-pupa rate. In this study, the cluster III with the highest DNJ content may have the potential to be used as preferred raw material for hyperglycaemia regulation or treatment and candidate parent materials for enriched material. Furthermore, DNJ may have a positive effect on the physical fitness of silkworm.
Automatic detection method of epileptic seizures based on IRCMDE and PSO-SVM
Authors: Liu Bei , Bai Hongzi , Chen Wei , Chen Huaquan , Zhang Zhen
Published: March 2023

Multi-scale dispersion entropy (MDE) has been widely used to extract nonlinear features of electroencephalography (EEG) signals and realize automatic detection of epileptic seizures. However, information loss and poor robustness will exist when MDE is used to measure the nonlinear complexity of the time sequence. To solve the above problems, an automatic detection method for epilepsy was proposed, based on improved refined composite multi-scale dispersion entropy (IRCMDE) and particle swarm algorithm optimization support vector machine (PSO-SVM). First, the refined composite multi-scale dispersion entropy (RCMDE) is introduced, and then the segmented average calculation of coarse-grained sequence is replaced by local maximum calculation to solve the problem of information loss. Finally, the entropy value is normalized to improve the robustness of characteristic parameters, and IRCMDE is formed. The simulated results show that when examining the complexity of the simulated signal, IRCMDE can eliminate the issue of information loss compared with MDE and RCMDE and weaken the entropy change caused by different parameter selections. In addition, IRCMDE is used as the feature parameter of the epileptic EEG signal, and PSO-SVM is used to identify the feature parameters. Compared with MDE-PSO-SVM, and RCMDE-PSO-SVM methods, IRCMDE-PSO-SVM can obtain more accurate recognition results.
Brain-derived neurotrophic factor (BDNF) in schizophrenia research: a quantitative review and future directions
Authors: Ahmad Rozaziana , Azman Khairunnuur Fairuz , Yahaya Rosliza , Shafin Nazlahshaniza , Omar Norsuhana , Ahmad Asma Hayati , Zakaria Rahimah , Wijaya Adi , Othman Zahiruddin
Published: March 2023

This review aims to perform a bibliometric analysis of the research related to brain-derived neurotrophic factor (BDNF) in schizophrenia and offer suggestions for further work. Based on the keywords used, our study retrieved 335 documents for further analysis using a combination of three bibliometric techniques: co-word analysis, document co-citation analysis, and bibliographic coupling. A general rising trend in the number of publications was found in BDNF and schizophrenia research. Researchers from China and the United States have mostly researched BDNF and schizophrenia. Molecular Psychiatry is the most prestigious journal in the field of BDNF and schizophrenia research. The main topics and important research areas are cognition and the involvement of BDNF as a neurobiological marker (pathogenesis, therapy monitoring, and risk factors). Future research is anticipated to concentrate on relevant subjects, such as factors that affect BDNF levels or are connected to BDNF dysfunction in schizophrenia, as well as animal models of schizophrenia, in addition to cognition in schizophrenia.
Educação para a paz: Ensino Religioso, alteridade e combate às intolerâncias
Authors: Santos Taciana Brasil dos , Crepaldi-Souza Jacqueline
Published: March 2023

O Brasil possui uma diversidade cultural e religiosa singular, quando comparado a outros países do mundo. Ainda assim, a intolerância religiosa, por vezes violenta, é uma realidade presente. Este trabalho almeja discutir sobre possibilidades de utilização do Ensino Religioso como espaço de educação para a paz. Para tanto, foram construídos três tópicos, resultantes de análise qualitativa documental. Através de textos do direito e da história da educação, foi analisada a pertinência da oferta de Ensino Religioso escolar na atualidade. Também foi apresentado o conceito filosófico de alteridade, relacionando-o à educação. Os conhecimentos elencados embasaram uma breve análise dos objetivos educacionais da BNCC, com ênfase no Ensino Religioso. Concluiu-se que o Ensino Religioso pode ser uma importante ferramenta no combate às intolerâncias religiosas, desde que ele valorize a diversidade e ajude os educandos a construir uma ética pessoal baseada na alteridade.
Exploring Engagement, Learning Satisfaction, and Learning Outcomes in a Technology-Aided Self-Paced Flipped Model
Authors: Wang Min , Liu Fen , Yu Zhonggen
Published: March 2023

In light of the COVID-19 pandemic, the issue of self-paced flipped learning has received considerably critical attention, because the physical face-to-face classroom has become one of the major obstacles during the pandemic. This research aims to figure out the effects of self-paced flipped learning on students' learning efficiency, satisfaction, and achievements. By collecting and analyzing data from the web of science core collection, the authors concluded that the self-paced flipped learning assisted with technology was conducive to students' learning engagement, satisfaction, and outcomes; as well as their self-regulation skills, effort-invested capacity, and monitoring ability. Challenges exist for both teachers and students as this learning model demands higher investments from both sides. Future empirical research, which takes these variables into account, will need to be undertaken.
An Evaluation of the Financial Impact on Business Performance of the Adoption of E-Business via Blockchain Technology
Authors: Yin Zecheng , Yang Yu
Published: March 2023

Investors can learn a lot about the health of a firm by looking at its FP (financial performance). For investors, it offers a glimpse into the company's financial health and performance, as well as a forecast for the stock's performance in the future. Certain criteria, including liquidity, ownership, maturity, and size, have been linked to financial success. Blockchain provides several benefits in the logistics business, including increased trust in the system owing to improved transparency and traceability and cost savings by removing manual and paper-based administration. The study uses the FP-BCT technique, a new approach to measuring company performance. However, e-business helps expand data exchange, aspects, and data quantity. Improving processing capabilities impacts the macroeconomic and financial environments, reducing economic activity, ensuring timely implementation of information, and decreasing costs.
Review of User Interface-Facilitated Serendipity in Recommender Systems
Authors: Afridi Ahmad Hassan , Olsson Thomas
Published: March 2023

Serendipity has become a desirable quality in designing recommender systems and user interfaces, hence offering a new measurement for system quality. At the same time, recognizing serendipitous experiences and determining their value is difficult due to their subjective nature. This review builds on 10 studies of user interfaces facilitating serendipity studies and attempts to understand the patterns that guide relevant user interface designs in recent recommender systems. This study furthers our understanding of turning the elusive experience of serendipity into more actionable user interface designs and patterns. The key findings are as follows. First, user controls and visualizations have facilitated serendipity, but studies of recommender systems have not gained considerable attention. Second, frameworks instrumental for user-interface-facilitated serendipity have not gained the researcher's worthy attention. Third, developing countries need to explore serendipity-facilitating recommender systems with more diverse users and more prominent test cases.
Security Detection Design for Laboratory Networks Based on Enhanced LSTM and AdamW Algorithms
Authors: Jiang Guiwen
Published: March 2023

With the addition of multimedia big data, the diversification of network data types becomes more prominent, the proportion of unstructured data increases sharply, and the requirements of data application show the characteristics of rapid change. Laboratory servers hold a large amount of core experimental data, which is at risk of being compromised in the event of a cyberattack, and the rapid pace of information technology has made cyberattacks complex. In the face of the great challenges posed by continuously changing networks to network security, this paper proposes a network exception detection approach that combines an improved inception module incorporating an attention mechanism and a Bi-LSTM. The inception module with the attention mechanism enhances the adaptability of the neural network to different spatial feature scales in the network stream, weakens irrelevant non-critical features, and exploits the advantages of the Bi-LSTM in terms of temporal features of the network stream to effectively improve the accuracy of the detection of network attacks.
Computer Network Information Security and Protection Strategy Based on Big Data Environment
Authors: Jin Min
Published: March 2023

This paper proposed a study on computer network information security and protection strategy based on a big data environment. The research purpose was to use big data technology to network information security protection technology and seek more efficient network information protection technology. The algorithm proposed in this article was a time-series network detection algorithm based on big data, which could improve the early warning rate of abnormal network information, reduce the early warning time, and improve the detection accuracy and interception rate of virus information. The results of this study could effectively show that big data technology had excellent performance in computer network information security protection, which also led to an advanced reform path for future network information security protection technology.
Implications of Religion Engagement and Development Projects on Gender Equality
Authors: Kisusu Robert W. , Tongori Samson T.
Published: March 2023

The study rationalized how development projects implemented through religion engagement (RE) implicates satisfactorily attaining gender equality. Reorganized establishment based on secondary data analyzed using qualitative and quantitative techniques found how social development projects implemented through RE increased gender equality, thus reducing gender gap index. And this is evidenced by how the gender gap index in Tanzania declined from 0.652 to 0.537 between 1995 and 2017. However, it was high, as by 2022 the gender gap index recorded 0.72 in Tanzania. This attributed by several factors, including agricultural and livestock development projects, increased gender inequality as men dominate more than women, and causal factors are that women lack capital and are inaccessible to credit services as they lack mortgage assets. The conclusion shows development projects implemented through RE are significantly increasing gender equality, but a gap remains a crucial problem facing Tanzanians and recommendations geared to policy makers to employ effective policies and adopt practical modalities.
Corporate Restructuring
Authors: Umar Muazu Adeiza
Published: March 2023

The paper examined the role of corporate restructuring in improving organizational performance by reviewing various literature in the domain of strategic management, where key authors, relevant theories, and studies were identified and reviewed, and a premium was placed on books and articles in peer-reviewed academic journals published between 2017 and 2023. Consequently, 30 authors were examined to isolate the corporate restructuring strategies beneficial to improving organizational performance. Analysis showed that these strategies can take various forms, and many empirical studies were underpinned by the dynamic capabilities theory, the resource-based theory, or the strategy-structure contingency theory, and the relationships were significant. Thus, corporate restructuring was adjudged to have the potential to enhance organizational performance. Scholars in the field of strategic management should therefore pay attention to the long-term consequences of restructuring.
Management of Service Quality With Involvement of Technological Developments in Organizations
Authors: Mandal Pratap Chandra
Published: March 2023

Service companies should generate and deliver superior services and manage service quality. The objective of the study is to analyze the various aspects of management of service quality. The methodology adopted is a conceptual analysis of managing service quality in organizations. Companies should manage customer expectations and product-service bundles. They should appreciate and involve technological developments and information technology in management of service quality. They should implement self-service technologies and chatbots to improve service quality. Academicians may analyze the various aspects of management of service quality and suggest effective models. Practicing managers should manage customer expectations and product-service bundles, appreciate the involvement of technological developments, and implement latest technological developments like self-service technologies and chatbots for managing service quality effectively. All these initiatives will help companies to manage service quality, deliver superior services, and to achieve growth and business excellence.
A Services Classification Method Based on Heterogeneous Information Networks and Generative Adversarial Networks
Authors: Xie Xiang , Liu Jianxun , Cao Buqing , Peng Mi , Kang Guosheng , Wen Yiping , Fletcher Kenneth K.
Published: March 2023

With the rapid development of service computing and software technologies, it is necessary to correctly and efficiently classify web services to promote their discovery and application. The existing service classification methods based on heterogeneous information networks (HIN) achieve better classification performance. However, such methods use negative sampling to randomly select nodes and do not learn the underlying distribution to obtain a robust representation of the nodes. This paper proposes a web services classification method based on HIN and generative adversarial networks (GAN) named SC-GAN. The authors first construct a HIN using the structural relationships between web services and their attribute information. After obtaining the feature embedding of the services based on meta-path random walks, a relationship-aware GAN model is input for adversarial training to obtain high-quality negative samples for optimizing the embedding. Experimental results on real datasets show that SC-GAN improves classification accuracy significantly over state-of-the-art methods.
Testing of a Polymer Drill String Protector under Conditions close to Borehole
Authors: Ref Dmitri , Yakhimovich Valery A. , Kolotiy Aleksandr
Published: March 2023

With today's proliferation of various polymers, it is necessary to assess the feasibility and feasibility of replacing rubber with more modern materials. The purpose of the tests was to study the effect of abrasive wear, the effect of temperature on material properties, resistance to chipping and other types of wear. This will allow assessing the possibility of application in well conditions, as well as determining the magnitude of the effect of each type of wear on the product. We were faced with the task of testing new protectors in conditions close to full-scale ones. For this, a stand was designed, which allows you to reproduce the lateral load, add abrasive and corrosive agents that affect the wear of the product, ensure circulation of the model fluid, with the characteristics of the drilling fluid, as well as study the effect of elevated temperature on the change in material properties. Due to the fact that in a real well the protector is not under constant load, especially in the vertical sections of the wellbore, but can rotate on the pipe, a day on the test bench can be equivalent to months when the protector is in the well. Therefore, the tests carried out can predict the wear of tread parts, as well as assess the reliability of the use of treads made of polymer materials.
Complexities of Covishield Vaccine on COVID-Positive History Family in India after the Second (Booster) Dose
Authors: Jamdade Parikshit Gautam , Jamdade Shrinivas Gautamrao
Published: March 2023

COVID-19 epidemic severely affects the social life of people living in India. The best solution to the COVID-19 problem is the vaccination of the people. In India, COVID-19 vaccination started from January 16, 2021, mainly with the Covishield vaccine. In this study, the COVID-positive history family was selected who had taken the first and second (booster) doses residing at Pune, Maharashtra, India, was followed up to check for any side effects postvaccination. Their data were collected with participant-administered questions. The predominant side effects reported were uneasiness, pyrexia (fever), voice difference, vomiting, and headache. The side effects were started at 2–16 h postvaccination while it takes an average duration of 48–60 h to last. Analysis shows nonpresence of major and serious side effects makes the Covidshield vaccine safe for use in the COVID-positive history population.
Student's Perception of Storytorial - An Innovative Approach to Self-Learning
Authors: Priya S. A. , Sunitha M. S. , Rajalakshmi R , Ramya C. M. , Chandrashekarappa Smitha Malenahalli
Published: March 2023

Background:

In the traditional undergraduate curriculum, majority of the hours is dedicated to passive lectures where students are mere listener. Emphasis on self-learning is restricted to reading some of the topics from the book and Internet. With reference to this, storytorial was introduced as an innovative learning method mainly concentrating on self-learning, communication skills, and retrieval of concept. A story was illustrated and enacted to a topic in physiology during tutorial hour, hence the name storytorial.

Methods:

This method of learning was introduced to the I MBBS 2018–2019 batch, comprising 200 students. They were divided into small groups; topics and list of students to perform storytorial were displayed in the notice board 15 days before the session. On the day of session, the selected 10 students performed a story that illustrated the physiology topic assigned to them. Time allotted for the presentation was 20–30 min. The students enacted the story, and one of them narrated how the story is linked to the topic. Later, a case study related to the topic was given, and the students solved the case in the presence of an in-charge teacher for that batch. The session lasted for 1 h. Likewise, all the students were involved in the performance with a different topic in separate sessions according to the time table. At the end of all the sessions, subjective feedback of storytorial from the students was taken using 5-point Likert scale and computed.

Results:

The analysis of feedback on 5-point Likert scale with point 5 as strongly agree and 1 as strongly disagree was as follows: increased confidence and learning – 4.468, better understanding of concept – 4.058, better memory retention and retrieval – 4.28, and enjoyed and liked the sessions – 4.37. 90% of the students recommended storytorial for the next batch.

Conclusion:

This innovative method is an extended role-play where the concepts are illustrated in the form of story which helps the students to understand and remember the medical concepts by self-learning approach.
Prescription Pattern and Treatment Target in Patients with Type 2 Diabetes Attending a Tertiary Health Center in Lagos
Authors: Dada Akinola O. , Ogundele Sunday O. , Amisu Mumuni A. , Williams Adetutu
Published: March 2023

Background:

The prevalence of diabetes is on the increase worldwide. Type 2 diabetes is the most common form of diabetes and is characterized by disorders of insulin action and insulin secretion; any of these two abnormalities may be the predominant feature of the disease. The aim of the study was to review the drug treatment of patients with type 2 diabetes attending a follow-up clinic.

Materials and Methods:

The study took place at the outpatient clinic of a tertiary health center among patients attending a follow-up clinic. The study design was a descriptive cross-sectional review of the use of antidiabetic medications among adult males and females with type 2 diabetes.

Results:

A total of 235 participants took part in this study. 64.3% were females; the average age of the participants was 60.7 years with an age range of 20–88 years. This study showed metformin as the most commonly prescribed medication among the participants. Almost two-thirds of the participants were diagnosed with diabetes after they had developed symptoms or complications of diabetes. The proportion of participants with fasting blood sugar at the target level was 54.5%.

Conclusion:

In conclusion, this study revealed that metformin is the most commonly prescribed antidiabetic medication among the participants; almost two-thirds of the participants were detected to be diabetic after they have either developed symptoms or complications of the disease. Fasting blood sugar was at target levels in more than half of the participants.
Current Practices in Diagnosis and Management of Gestational Diabetes
Authors: Afsana Faria , Bhowmik Bishwajit , Siddiquee Tasnima , Ahmed Tareen , Pathan Faruque Md , Ahmed Tofail , Samad Mohammad Abdus , Uddin Mohammad Farid , Selim Shahjada , do Vale Moreira Nayla Cristina , Debnath Purobi Rani , Choudhury Kaiser Aalm , Alim Abdul , Amin Mohammad Robed , Mahtab Hajera , Hussain Akhtar , Khan A. K. Azad
Published: March 2023

Background:

In the absence of international or national guidelines for the diagnosis and treatment of gestational diabetes mellitus (GDM), physicians’ current practice varies a great deal. This is particularly true for most developing countries, including Bangladesh. We have conducted a study to register the current practices related to the diagnosis and management of GDM in Bangladesh.

Materials and Methods:

A cross-sectional survey was conducted to obtain details regarding diagnostic criteria used, screening methods, management strategies, and postpartum follow-up of GDM using a structured questionnaire. A total of 756 physicians from 30 centers of the Diabetic Association of Bangladesh, Government and Private Hospitals located in both the capital Dhaka city and outside Dhaka participated.

Results:

The study found that diabetologists look after 42.5% of the GDM patients. Among the physicians participated, 44.4% preferred first antenatal care visit for the GDM screening, and 55.2% preferred two samples oral glucose tolerance test (OGTT) for screening. About 47.6% of the physicians followed the American Diabetic Association (ADA) guidelines for diagnosis. Half of the participated physicians preferred short-acting insulin and four-times home monitoring of blood glucose per day. Around 66.3% of the physicians advised OGTT 6 weeks after delivery.

Conclusion:

The majority of the participating physicians do not follow the recommendations for the diagnosis and management of GDM. This emphasizes the need for developing an evidence-based national guideline for GDM and necessary training to halt the rise of diabetes and safe mother and child health in Bangladesh.
Impact of Integrated Medication Reminders, Gamification, and Financial Rewards Via Smart Phone Application on Treatment Adherence in Uncomplicated Type II Diabetes Patients
Authors: Kamat Tejas , Dang Amit , Dang Dimple , Rane Pawan
Published: March 2023

Background:

Poor medication adherence in type 2 diabetes mellitus (T2DM) leads to poor glycemic control.

Materials and Methods:

This randomized, open-labeled, controlled study recruited consenting adult patients with uncomplicated T2DM who were on daily oral antidiabetics with documented poor medication adherence (missing ≥20% of their prescribed doses in the past 15 days). Patients in the “incentive group” installed a digital therapeutics mobile app (KYT-Adhere) and received multiple daily medication reminders. Patients were asked to show the pill/(s) to the app before consuming the medication, after which the patients received “KYT-Points”; these would be converted into financial incentives after 3 months, provided that they maintained ≥80% medication adherence. These patients received incentives for 3 months and medication reminders for 6 months. “Control group” patients received standard care.

Results:

A total of 118/120 recruited patients completed the study; 59 each with similar baseline parameters were randomized to incentive and control groups. At baseline, medication adherence and HbA1c were comparable (adherence: 65.7±4.7% and 65.3±4.0%; HbA1c: 9.0±0.3% and 9.0±0.3% for incentive and control groups, respectively). Over the study duration, the incentive group showed a significant improvement in medication adherence (P < 0.001) and significant HbA1c reduction (P < 0.001). At study closure, the average medication adherence and HbA1c were significantly different between the two groups (adherence: 86.8±3.2% vs. 67.7±4.6%, P < 0.001; HbA1c: 7.3±0.2% vs. 8.2±0.3%, P < 0.001).

Conclusion:

Gamification through combining repeated medication reminders and rewards through a smartphone application brought about a behavioral change, which improved medication adherence and glycemic control among T2DM patients within 3 months and was sustained for 3 more months without rewards.
Whole-Body Vibration, in Addition to Balance Exercise, Shows Positive Effects for Strength and Functional Ability in Patients with Diabetic Peripheral Neuropathy
Authors: Waheed Aatika , Azharuddin Muhammad , Ahmad Irshad , Noohu Majumi M.
Published: March 2023

Purpose:

The aim of the study was to evaluate the effect of whole-body vibration (WBV) with balance training on strength and functional ability in patients with diabetic peripheral neuropathy (DPN).

Materials and Methods:

Forty (19 males and 21 females) patients with DPN participated in the study. The patients were randomly allocated to experimental group (age = 57.3 ± 7.3) and control group (age = 57.1 ± 6.5). The experimental group performed WBV with balance training, whereas the control group performed only balance exercises for three weeks (five days/week). Outcome measures included neuropathy disability score (NDS), numeric pain rating scale (NPRS), timed up and go test (TUGT), Tinetti performance-oriented mobility assessment (Tinetti POMA) scale, strength of quadriceps, and tibialis anterior and reaction time.

Results:

Demographic characteristics and outcome measures at baseline were found to be nonsignificant between the groups. NDS, Tinetti POMA, quadriceps, and tibialis anterior strength showed significant time effect (P ≤ 0.016) and time × group interaction (P ≤ 0.008) whereas group effect was found to be nonsignificant. TUGT only showed significant time effect (P < 0.001). NPRS and reaction time showed significant time × group interaction (P ≤ 0.002).

Conclusion:

The WBV with balance exercise showed improvement in the NDS, functional balance, functional mobility, and strength of the lower limb muscles when compared with balance exercises only.
Role of Physiotherapy in Managing Type 2 Diabetes Mellitus
Authors: Kaur Navjot , Singh Sandeep
Published: March 2023

Type 2 diabetes mellitus (T2DM) is the most widespread form of diabetes and is becoming a global burden. This disorder distresses almost all of body systems leading to a number of complications such as cardiovascular diseases, diabetic peripheral neuropathy, diabetic nephropathy, musculoskeletal disorders and lower limb amputations which in turn increase the rate of mortality and impoverished life's quality. This beseeches for better treatment methods, but the pharmacological approaches are limited by their adverse effects. In that context physiotherapy is an emerging non-pharmacological approach. The objective of this review was to systematically review the current evidence on role of physiotherapy in type 2 diabetes patients. A comprehensive search of literature published between 2010 to 2021 was conducted using; PubMed, ScienceDirect and PEDro databeses. 34 RCTs determining the role of different physiotherapy interventions published in peer reviewed English language journal were included in this review. Studies with less than 20 participants and conducted in age less than 18 years were excluded. This review was conducted in compliance with PRISMA guidelines. Study quality was assessed using PEDro scale; data on participant and intervention characteristics, outcome measures and treatment outcomes were extracted based on PICO framework by one reviewer under the supervision of another reviewer. The quality of trials as per PEDro was a mean score of 6. Overall, these studies evaluated the role of physiotherapy interventions such as exercise therapy, electrotherapy and other new and uncommon interventions such as pilates, whole body vibration and mini-trampoline in improving T2DM patients. This was the first systematic review to gather the evidence related to role of physiotherapy as a non-pharmacological approach in managing T2DM. The findings of present review suggested that different physiotherapeutic interventions have a positive role to play in management of T2DM and its associated complications but the literature is mainly focused on exercise therapy although many other physiotherapy interventions also proved to be beneficial.
Pancreatogenic Diabetes Mellitus (Type 3cDM)
Authors: Lakhani Jitendra D. , Kumat Kshitij Sanjay , Shah Archie U. , Gadiya Sachin R.
Published: March 2023

Pancreatogenic diabetes (T3cDM) is a secondary form of Diabetes mellitus (DM) where exocrine pancreas is the cause of disease. A case of young male, known diabetic and having alcohol use disorder (AUD),with features suggestive of T3cDM is presented here. He had generalized body ache, abdominal discomfort and loss of weight. On presentation he had diabetic ketoacidosis and severe hyperglycemia. His USG abdomen and CECT abdomen showed multiple small foci of calcifications in pancreas which was suggestive of chronic pancreatitis. His random C-peptide level was low and GAD antibodies were negative. He had hepatitis B antigen positivity. He had malabsorption and malnutrition suggestive of exocrine pancreatic dysfunction. The case is presented here for three reasons,(I)to highlight the possibility of misdiagnosis or under diagnosis,(ii) his presentation was with ketoacidosis which is not very usual and (iii) in view of searching evidence for possible association to hepatitis B antigen positivity.
Reversal of Alopecia by Insulin Therapy in Uncontrolled Type 2 DM
Authors: Kant Ravi , Barnwal Shruti , Sharma Suresh K. , Thakur Kalpana
Published: March 2023

Diabetes mellitus is a chronic metabolic disease that results in micro-vascular and macro-vascular complications. Further, uncontrolled hyperglycemia can damage blood vessels and alters the anagen and telogen phases of hair growth leading to alopecia. We report a case of a 54-year-old woman diagnosed with type 2 diabetes mellitus (DM) and hypertension suffering from hair loss on the right side of scalp without any signs and symptoms of scalp inflammation. All the possible causes such as lipid profile, side effects of hypoglycemic agents and anti-hypertensive therapy, trichotillomania, and dermatological diseases were ruled out. Here, we emphasize that damaged blood vessels that hinder oxygen supply and nutrients to hair follicles could be the reason behind alopecia in DM patients. Furthermore, insulin plays an important role in cell proliferation and regrowth of hair follicles. It was also noted that patients’ response to glycemic control was remarkable, and timely initiation of insulin in patients with DM and alopecia restores normal hair growth. Still, more extensive research is required in this field, which will ultimately be helpful in the prevention of alopecia in DM patients.
Clinical Profile and Types of Youth-Onset Diabetes in Chennai
Authors: Amutha A. , Dhakshayani Raghavan V. , Dharmarajan P. , Suresh E. , Periyandavar I. , Shanmugam A. , Seshiah V. , Viswanathan Vijay , Ramachandran Ambady , Anjana R. M. , Vijayakumar G. , Paneerselvam A. , Srivatsa A. , Nallaperumal S. , Vasanthi T. , Moses Anand , Roy S. Sinha , Mohan Viswanathan
Published: March 2023

Background:

The first national-level multicentric clinic-based registry of youth-onset diabetes from India was started in the year 2006 by the Indian Council of Medical Research (ICMR).

Objective:

In this study, we present the data collected from one of the Regional Collaborating Centre, Chennai (RCC03) of the ICMR Young Diabetes Registry (YDR).

Materials and Methods:

YDR recruited young diabetes participants reporting on/after January 1, 2000, with age onset ≤25 years at the time of diagnosis of diabetes, and residing within the Chennai Metropolitan Area. The reporting centers (RCs) that were willing to participate in the registry were included, and their staff was trained to fill-in the baseline and follow-up proforma.

Results:

Overall, 29 RCs participated, which includes six government hospitals, and remaining are private speciality hospitals or single-physician clinics. So far, RCC03 had contributed 4194 young diabetes participants to ICMR-YDR from the Chennai region. Among the registered 48.1% (n = 2020) were type 1 diabetes mellitus (T1DM), 43.4% (n = 1821) were type 2 diabetes mellitus (T2DM), 6.4% (n = 269) were gestational diabetes mellitus, and remaining 2.0% (n = 84) had secondary diabetes. Among T1DM, 58% of them had age onset of <15 years, whereas in T2DM, 95% of them had age onset <15 years. Differences in their clinical profiles were seen among these participants. All T1DMs were on insulin treatment at the time of registration or they had been prescribed insulin at their first visit to the RCs, and 12% of the T2DMs were on insulin.

Conclusions:

The observations from RCC03 of the registry reveal that 48.1% were T1DM and 43.4% were T2DM. These results suggest that there is equal contribution of T1DM and T2DM cases in the Chennai region, which needs to be studied in detail.
Imaging of the Orbit
Authors: Yusuf Alsawi Yusuf Abdulmannan , Binnawi Kamal Hashim , Makki Howaida Alnour
Published: March 2023

Imaging plays an important role in diagnosing most orbital conditions. Imaging modalities commonly employed in orbital imaging are ultrasound, computed tomography, and magnetic resonance imaging. Conventional radiography plays a small role in imaging the orbits, particularly in rural areas in low-income countries such as Sudan. In this review, we will classify orbital conditions according to the systemic surgical sieve. Ophthalmologists need to understand the role and nature of each imaging modality to use the most appropriate investigation for a particular patient or condition. When requesting an imaging study, the radiologist needs to get full clinical information, including the surgical history, previous investigations, and a well-formulated question regarding what the clinician expects and wants.
Support capacity of a floodplain lake for intensive fish production (Rondônia, Brazil)
Authors: Neto Eloi Bispo Bezerra , Amaral Rodrigo Vieira Alves , Borges Elton Lima , Checchia Tatiane Emilio , Júnior Charles Hanry Faria , Zacardi Diego Maia , Campos Caroline Pereira de , Sousa Raniere Garcez Costa
Published: March 2023

The Amazon Basin stands out mainly for its large floodplain’s areas, which during the period of high water become important environments for the maintenance of the life cycle of many fish species. These floodplains act as a source of food and an area for growth and reproduction for the fish assemblages. However, there are few studies on the use of floodplain lakes for breeding fish in confinement. Therefore, we analyzed the support capacity and environmental parameters of Lake Cujubim, in the Madeira River Basin, regarding its use for the implementation of intensive fish farming (net tank system). From 2019 to 2020, bathymetric profiles and limnological data were collected, considering the seasonality of the water level and the shape of the Lake Cujubim. The bathymetry data were primarily used to verify the parameters of depth, area and volume of the lake, while limnological data contributed to statistical analyses for the evaluation of health status and support capacity of the lake for fish farming in an intensive production system. The data collected from the limnological analyses and the depth and profile indicate that Lake Cujubim is suitable for the cultivation of fish, and has an estimated support capacity for an annual production of up to 468.31 tonnes of fish. Herein, we propose a viable alternative for the social and productive development of intensive fish farming in an area of floodplain lake in the state of Rondônia, Brazil.

Keywords: Amazon basin, net tanks, pisciculture.
Metastasis-Directed Local Therapy of Hepatic Oligometastasis from Colorectal Cancer and Future Perspective in Radiation Therapy
Authors: Yoo Gyu Sang , Rim Chai Hong , Cho Won Kyung , Jeong Jae-Uk , Chie Eui Kyu , Cho Hyeon-Min , Um Jun Won , Ahn Yong Chan , Lee Jong Hoon ,   on behalf of Korean Cancer Association Oligometastasis Working Group
Published: March 2023

Introduction of the concept for oligometastasis led to wide application of metastasis-directed local ablative therapies for metastatic colorectal cancer (CRC). By application of the metastasis-directed local ablative therapies including surgical resection, radiofrequency ablation (RFA), and stereotactic ablative body radiotherapy (SABR), the survival outcomes of patients with metastatic CRC have improved. The liver is the most common distant metastatic site in CRC patients, and recently various metastasis-directed local therapies for hepatic oligometastasis from CRC (HOCRC) are widely used. Surgical resection is the first line of metastatic-directed local therapy for HOCRC, but its eligibility is very limited. Alternatively, RFA can be applied to patients who are ineligible for surgical resection of liver metastasis. However, there are some limitations such as inferior local control (LC) compared with surgical resection and technical feasibility based on location, size, and visibility on ultrasonography of the liver metastasis. Recent advances in radiation therapy technology have led to an increase in the use of SABR for liver tumors. SABR is considered complementary to RFA for patients with HOCRC who are ineligible for RFA. Furthermore, SABR can potentially result in better LC for liver metastases > 2-3 cm compared with RFA. In this article, the previous studies regarding curative metastasis-directed local therapies for HOCRC based on the radiation oncologist’s and surgeon’s perspective are reviewed and discussed. In addition, future perspectives regarding SABR in the treatment of HOCRC are suggested.
Degeneration of K3 surfaces with non-symplectic automorphisms
Authors: Matsumoto Yuya
Published: March 2023

We prove that a K3 surface with an automorphism acting on the global

2

-forms by a primitive

m

-th root of unity,

m \neq 1,2,3,4,6

, does not degenerate (assuming the existence of the so-called Kulikov models). A key result used to prove this is the rationality of the actions of automorphisms on the graded quotients of the weight filtration of the

l

-adic cohomology groups of the surface.
Impact of statin treatment on cardiovascular events in patients with retinal vein occlusion: a nested case-control study in Korea
Authors: Yoo Joonsang , Shin Joo Youn , Jeon Jimin , Kim Jinkwon
Published: March 2023

OBJECTIVES: Retinal vein occlusion (RVO) is associated with an increased risk of future cardiovascular events. Statin therapy is a key cornerstone in prevention for patients at high cardiovascular risk. However, little is known about the role of statin therapy for patients with RVO. This study evaluated whether statin treatment in patients with RVO was associated with a lower risk of cardiovascular events.METHODS: A population-based, nested case-control study was conducted with a cohort of newly diagnosed RVO patients without prior cardiovascular disease between 2008 and 2020 using a nationwide health claims database in Korea. From this cohort of RVO patients, we identified cases of cardiovascular events (stroke or myocardial infarction) after RVO and matched controls based on sex, age, insurance type, antiplatelet use, and underlying comorbidities using 1:2 incidence density sampling.RESULTS: Using a cohort of 142,759 patients with newly diagnosed RVO, we selected 6,810 cases and 13,620 matched controls. A significantly lower risk of cardiovascular events (adjusted odds ratio, 0.604; 95% confidence interval, 0.557 to 0.655) was observed in RVO patients with statin treatment than in those without statin treatment. Statin treatment was associated with a reduced risk for both stroke and myocardial infarction after RVO. Longer statin treatment after RVO was associated with a lower risk for cardiovascular events.CONCLUSIONS: Statin treatment was associated with a lower risk for future cardiovascular events in patients with newly diagnosed RVO. Further studies are warranted to clarify the potential cardiovascular preventive role of statins in patients with RVO.
Conflits liés à l’exploitation des ressources naturelles dans le Domaine de Chasse et Reserve de Bombo-Lumene en République Démocratique du Congo
Authors: Biayi Gabin Mbikayi , Mungu Daniel Sifa Kwa , Bolaluembe Papy Claude
Published: March 2023

La gestion des ressources naturelles dans les aires protégées des pays du Bassin du Congo suscite des nombreux conflits. L’objectif de cette étude est d’analyser les conflits liés à l’exploitation des ressources naturelles dans le Domaine de chasse et Réserve de Bombo Lumene (DCRBL) en République Démocratique du Congo. La collecte des données a été réalisée à travers les entretiens individuels semi-dirigés et par focus groupe, l’observation participante et l’observation non participante au niveau local. Les résultats ont montré l’existence de nombreux conflits dans le DCRBL notamment les conflits horizontaux et les conflits verticaux. Les conflits horizontaux sont les conflits intra communauté (conflits entre agriculteurs au sein d'une même communauté) et les conflits inter communauté (agriculteurs et éleveurs au sein des communautés différentes). Les conflits verticaux sont ceux opposants les communautés locales et les gestionnaires du DCRBL. Au regard de ces résultats, plusieurs solutions ont été proposées par les répondants parmi lesquelles, la nouvelle délimitation des villages et du DCRBL, le respect des lois régissant le DCRBL et la création d’un comité de conservation communautaire. Les résultats de cette étude pourront servir d’outil de décisions pour les autorités étatiques, les gestionnaires des ressources naturelles et les communautés locales. Cependant, une étude socioéconomique est souhaitable en vue de détecter d’autres sources latentes de conflits.

The management of natural resources in the protected areas of the Congo Basin countries gives rise to numerous conflicts. The aim of this study was to analyze the conflicts related to the exploitation of natural resources in the Bombo Lumene Hunting Domain and Reserve (DCRBL) in the Democratic Republic of Congo. Data collection was carried out through semi-directed individual interviews and focus groups, participant observation and non-participant observation at the local level. The results showed the existence of many conflicts in the DCRBL including horizontal conflicts and vertical conflicts. Horizontal conflicts are intra-community conflicts (conflicts between farmers within the same community) and inter-community conflicts (farmers and herders within different communities). Vertical conflicts are those between local communities and DCRBL managers. In view of these results, several solutions were proposed by the respondents, including the new boundaries of the villages and the DCRBL, compliance with the laws governing the DCRBL and the creation of the community conservation committee. The results of this study can be used as a decision-making tool for state authorities, natural resource managers and local communities. However, a socio-economic study is desirable in order to detect other latent sources of conflict.
Thermal and energy analysis of DMTA tests
Authors: Chrysochoos André , Arnould Olivier
Published: March 2023

This paper investigates the suitability of the isothermal linear viscoelastic framework to describe the behavior of polymers observed during DMTA tests. A good interpretation of these tests is important because, in practice, they are used to construct master curves using the time-temperature superposition principle at small strain. These curves are then considered to predict the material behavior under experimentally unreachable thermal and/or loading frequency conditions. Currently, the DMTA protocol neglects the temperature variations induced by the deformation of polymers. We wonder if these temperature variations can have an influence on the measurement of dynamic moduli. To answer this question, quantitative infrared techniques were developed and used to assess small temperature variations of samples undergoing cyclic loadings during mechanical spectrometry tests. Thermal and mechanical data were used to quantify the viscous dissipated and the thermoelastic coupling energies that can be both associated with the hysteretic stress-strain response of polymers. Energy balances were then performed to quantify the relative importance of dissipative and thermoelastic coupling heat sources. From the energy standpoint, it is found that the thermoelastic energy rate was dozens of times higher than the dissipation. Especially at low frequencies, thermoelastic effects can have a greater influence on the loss modulus value than viscosity.